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Balaji Srinivasan: How to Fix Government, Twitter, Science, and the FDA

Episode 3312022-10-20English

Guests: Balaji Srinivasan

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Contents61 chapters§01Transcript · 00:00–08:00§02Transcript · 08:03–15:53§03Transcript · 15:56–24:12§04Transcript · 24:15–32:12§05Transcript · 32:15–40:46§06Transcript · 40:47–48:26§07Transcript · 48:28–56:02§08Transcript · 56:04–1:03:59§09Transcript · 1:04:04–1:11:34§10Transcript · 1:11:38–1:20:06§11Transcript · 1:20:08–1:28:06§12Transcript · 1:28:07–1:35:55§13Transcript · 1:35:57–1:42:51§14Transcript · 1:42:54–1:50:23§15Transcript · 1:50:26–1:58:23§16Transcript · 1:58:24–2:05:14§17Transcript · 2:05:15–2:12:31§18Transcript · 2:12:33–2:20:08§19Transcript · 2:20:11–2:28:44§20Transcript · 2:28:47–2:38:12§21Transcript · 2:38:16–2:47:06§22Transcript · 2:47:07–2:54:10§23Transcript · 2:54:14–3:02:22§24Transcript · 3:02:24–3:09:57§25Transcript · 3:10:01–3:18:18§26Transcript · 3:18:20–3:26:15§27Transcript · 3:26:18–3:33:35§28Transcript · 3:33:38–3:41:47§29Transcript · 3:41:51–3:49:05§30Transcript · 3:49:08–3:56:44§31Transcript · 3:56:47–4:04:02§32Transcript · 4:04:04–4:10:44§33Transcript · 4:10:46–4:18:13§34Transcript · 4:18:14–4:25:47§35Transcript · 4:25:48–4:32:57§36Transcript · 4:32:58–4:40:31§37Transcript · 4:40:32–4:48:58§38Transcript · 4:48:59–4:56:42§39Transcript · 4:56:45–5:04:50§40Transcript · 5:04:52–5:13:06§41Transcript · 5:13:09–5:21:42§42Transcript · 5:21:43–5:29:31§43Transcript · 5:29:32–5:36:03§44Transcript · 5:36:05–5:43:58§45Transcript · 5:44:00–5:52:09§46Transcript · 5:52:11–5:59:58§47Transcript · 5:59:59–6:08:16§48Transcript · 6:08:18–6:15:16§49Transcript · 6:15:19–6:22:37§50Transcript · 6:22:41–6:30:27§51Transcript · 6:30:29–6:38:12§52Transcript · 6:38:13–6:46:16§53Transcript · 6:46:18–6:53:11§54Transcript · 6:53:12–7:00:27§55Transcript · 7:00:29–7:08:14§56Transcript · 7:08:16–7:15:55§57Transcript · 7:15:57–7:24:10§58Transcript · 7:24:16–7:32:02§59Transcript · 7:32:03–7:39:34§60Transcript · 7:39:36–7:47:08§61Transcript · 7:47:10–7:47:46

§01Transcript · 00:00–08:00

00:00"Donald Trump was probably the biggest person ever

00:02"to be removed from social media."

00:04Do you understand why that was done?

00:06Can you still man the case for it and against it?

00:09- Everybody who's watching this around the world

00:12basically saw, let's say, US establishment

00:15or Democrat-aligned folks just decapitate

00:19the head of state digitally, right?

00:23Like just boom, gone, okay?

00:25And they're like, "Well, if they can do that in public

00:27"to the US president, who's ostensibly

00:29"the most powerful man in the world."

00:31What does the Mexican president stand against that?

00:34Nothing.

00:35Regardless of whether it was justified on this guy,

00:39that means they will do it to anybody.

00:40Now the seal is broken.

00:42Just like the bailouts, as exceptional as they were

00:44in the first year, everybody was shocked by them,

00:46then they became a policy instrument.

00:48And now there's bailouts happening,

00:51every single bill is printing another whatever,

00:53billion dollars or something like that.

00:55- The following is a conversation with Biology,

00:59Srinivasan, an angel investor, tech founder,

01:02philosopher, and author of "The Network State,

01:06"How to Start a New Country."

01:08He was formerly the CTO of Coinbase

01:11and general partner at Andreessen Horowitz.

01:15This conversation is over seven hours.

01:19For some folks, that's too long.

01:21For some, too short.

01:23For some, just right.

01:26There are chapter timestamps, there are clips,

01:29so you can jump around or, like I prefer to do

01:32with podcasts and audio books I enjoy,

01:34you can sit down, relax with a loved human,

01:38animal, or consumable substance, or all three if you like,

01:43and enjoy the ride from start to finish.

01:46Biology is a fascinating mind

01:48who thinks deeply about this world

01:50and how we might be able to engineer it

01:52in order to maximize the possibility

01:55that humanity flourishes on this fun little planet of ours.

01:59Also, you may notice that in this conversation,

02:03my eye is red.

02:04That's from jiu-jitsu.

02:06And also, if I may say so, from a life well lived.

02:10This is the Lex Friedman Podcast.

02:13To support it, please check out our sponsors

02:15in the description.

02:17And now, dear friends, here's Biology Srinivasan.

02:20At the core of your belief system

02:23is something you call the prime number maze.

02:25I'm curious, I'm curious.

02:27We gotta start there.

02:28- Sure. - If we can start anywhere,

02:29it's with mathematics.

02:30Let's go. - All right, great.

02:32A rat can be trained to turn at every even number

02:37or every third number in a maze to get some cheese.

02:40But evidently, it can't be trained to turn at prime numbers.

02:44Two, three, five, seven, and then 11,

02:47and so on and so forth.

02:48That's just too abstract.

02:49And frankly, if most humans were dropped

02:51into a prime number maze,

02:53they probably wouldn't be able to figure it out either.

02:55They'd have to start counting and so on.

02:57Actually, it'd be pretty difficult to figure out

02:58what the turning rule was.

03:00Yet, the rule is actually very simple.

03:02And so, the thing I think about a lot

03:04is just how many patterns in life

03:07are we just like these rats

03:09and we're trapped in a prime number maze?

03:10And if we had just a little bit more cogitation,

03:14if we had a little bit more cognitive ability,

03:17a little bit more, whether it's brain-machine interface

03:20or just better physics,

03:21we could just figure out the next step

03:23in that prime number maze.

03:23We could just see it.

03:24We could just see the grid.

03:26And that's what I think about.

03:28Like, that's a big thing that drives me,

03:30is figuring out how do we actually conceive,

03:32understand that prime number maze that we're living in.

03:35- So, understand which patterns are just complex enough

03:39that they're beyond the limit of human cognition.

03:41- Yes.

03:42- And what do you make of that?

03:45Are the limits of human cognition a feature or a bug?

03:49- I think mostly a bug.

03:51I admire Ramanujan.

03:52I admire Feynman.

03:55I admire these great mathematicians and physicists

03:57who were just able to see things that others couldn't.

04:02And just by writing it down, that's a leap forward.

04:05People talk about it's not the idea, it's execution,

04:09but that's for trivial ideas, for great ideas,

04:11for Maxwell's equations or Newton's laws

04:14or quantum electrodynamics

04:16or some of Ramanujan's identities.

04:17That really does bring us forward,

04:19especially when you can check them

04:21and you don't know how they work, right?

04:22You have the phenomenological,

04:24but you don't have the theory underneath it.

04:26And then that stimulates the advancement of theory

04:28to figure out why is this thing actually working?

04:29That's actually, StatMech arose in part

04:33from the kind of phenomenological studies

04:36that were basically being done

04:37where people are just getting steam engines

04:38and so on to work.

04:39And then they kind of abstracted out thermodynamics

04:41and so on from that, right?

04:42So the practice led the theory rather than vice versa,

04:45to some extent that's happening in neural networks now,

04:47as you're aware, right?

04:48And I think that's,

04:50so just something that's true and that works,

04:53you know, if we don't know yet, that's amazing.

04:55And it pulls us forward.

04:56So I do think that the limits

04:58are more of a bug than a feature.

04:59- Is there something that humans will never be able

05:01to figure out about our universe,

05:03about the theory, about the practice of our universe?

05:06- Yeah, people will typically quote

05:08Cordell's incompleteness for such a question.

05:10And yeah, there are things that are provably unknowable

05:14or provably unprovable.

05:16But I think you can often get an approximate solution.

05:18You know, the Hilbert, you know, Hilbert's problems like,

05:21we will know, we must know.

05:23At least we should know that we can't know.

05:26Push to get at least an approximate solution.

05:28Push to know that we can't know.

05:29At least we push back that darkness enough

05:32so that we have lit up that corner

05:34of the intellectual universe.

05:35- Okay, let's actually take a bit of a tangent

05:38and explore a bit in a way that I did not expect we would.

05:42But let's talk about the nature of reality briefly.

05:44I don't know if you're familiar

05:45with the work of Don Hoffman.

05:47- No, I don't.

05:48I know Roger Penrose has like his road to reality series

05:51for like basic physics getting up to everything we know.

05:53But go ahead, tell me.

05:54- It's even wilder.

05:55In modern physics, we start to question

05:57of what is fundamental and what is emergent

05:59in this beautiful universe of ours.

06:01And there's a bunch of folks who think that space-time,

06:05as we know it, the four-dimensional space, is emergent.

06:08It's not fundamental to the physics of the universe.

06:11And the same, many argue, I think Sean Carroll

06:14is one of them, is that time itself,

06:17the way we experience it, is also emergent.

06:20It's not fundamental to the way our universe works.

06:23Anyway, those are the technical term,

06:26I apologize for swearing,

06:27those are the mind fucks of modern physics.

06:31But if we stroll along that road further,

06:35we get somebody like Donald Hoffman,

06:37who makes the evolutionary case

06:39that the reality we perceive with our eyes

06:41is not only an abstraction of objective reality,

06:45but it's actually completely detached.

06:48We're in a video game, essentially,

06:50that's consistent for all humans,

06:55but it's not at all connected to physical reality.

06:59It's an illusion.

07:00- It's like a version of the simulation hypothesis,

07:01is that his--

07:02- In a very distant way, but the simulation says

07:06that there's a sort of computational nature to reality,

07:09and then there's a kind of a programmer

07:11that creates this reality, and so on.

07:13No, he says that we humans have a brain

07:16that is able to perceive the environment,

07:18and evolution is produced from primitive life

07:22to complex life on Earth,

07:24produce the kind of brain that doesn't at all

07:26need to sense the reality directly.

07:29So like this table, according to Donald Hoffman,

07:33is not there.

07:34- Well, so--

07:36- Like, not just as an abstraction,

07:38like we don't sense the molecules that make up the table,

07:41but all of this is fake.

07:43- Interesting.

07:44So I tend to be more of a hard science person, right?

07:49And so just on that, people talk about qualia,

07:54like is your perception of green

07:58different from my perception of green?

08:00And my counterargument on that is,

§02Transcript · 08:03–15:53

08:03well, we know something about spectrum of light,

08:05and we can build artificial eyes.

08:07And if we can build artificial eyes, which we can,

08:10like they're not amazing, but you can actually,

08:12you can do that, you can build artificial ears, and so on.

08:14Obviously, we can build recording devices,

08:16and different cameras, and things like that.

08:18Well, operationally, the whole concept

08:21of your perception of green,

08:22you see green as purple, I see green as green,

08:23or what I call green, doesn't seem to add up,

08:25because it does seem like we can do engineering around it.

08:29So the Hoffman thing, I get why people more broadly

08:33will talk about a simulation hypothesis,

08:34'cause it's like Feynman, many others have talked about

08:37how math is surprisingly useful to describe the world.

08:42Like very simple equations give rise

08:44to these complex phenomena.

08:45Wolfram is also on this, from a different angle

08:48with the cellular automata stuff.

08:50- It's almost suspicious how well it works.

08:54- Yeah, but on their hand, it's like,

08:56yet we're still also in a prime number maze.

09:02There's things we just don't understand.

09:03And so--

09:05- Also, within the constraints of the non-prime numbers,

09:09we find math to be extremely effective,

09:12surprisingly effective.

09:13- Yeah, exactly.

09:14So maybe the math we have gets us through

09:17the equivalent of the even turns and the odd turns,

09:19but there's math we don't yet have

09:20that is more complex, or more complex rules for other parts.

09:22- This is probably all RH, or just rats in a cage.

09:25- I know that gets very abstract,

09:27but there are unsolved problems in physics.

09:30Like the condensed matter space,

09:31there's a lot of interesting stuff happening.

09:33My recollection, I may be out of date on this,

09:35things like sonoluminescence,

09:36we don't know exactly how they work.

09:38And sometimes those things that are at the edges of physics,

09:42in the late 1800s, I think Rutherford,

09:45somebody, I think it was Rutherford said,

09:48basically all physics is being discovered, et cetera.

09:50And that was obviously before quantum mechanics.

09:53That sort of edge case, people are looking at the bomber

09:55in the "Passion" series and seeing this weird thing

09:59with the hydrogen spectrum, and it was quantized.

10:02And that led to the sort of phenomenological

10:06set of observations that led to quantum mechanics

10:08and everything.

10:10And sometimes I think the UAP stuff might be like that.

10:13People immediately go to aliens for UAP,

10:15like the unidentified aerial phenomena.

10:17People have been, there's surprising amount of stuff

10:20out there on this.

10:21The UK has declassified a bunch of material.

10:24Harry Reid, who's a senator, has talked about this.

10:26It's not an obviously political thing, which is good.

10:30It's something that, is there something happening there?

10:34And people had thought for a long time

10:35that the UAP thing was American kind of counter propaganda

10:40to cover up their new spy planes that were spying

10:43over the Soviet Union to make anybody who talked about them

10:45seem crazy and hysterical or whatever.

10:49But if the UAP thing is real,

10:52it could be atmospheric phenomena,

10:55like the aurora borealis or the Northern Lights,

10:58but some things we don't understand.

10:59It could be something like the Bomber and Passion series,

11:03which were the observations of emission spectra

11:06before quantum mechanics.

11:07So that's another option as opposed to doesn't exist

11:10or Lilligreen men.

11:12It could be physics we don't understand yet.

11:14That's one possible.

11:15- Do you think there's alien civilizations out there?

11:18- So there's a lot of folks who have kind of written

11:20and talked about this.

11:21There's the Drake equation, which is like multiplying

11:24all the probabilities together.

11:25There's perhaps more sophisticated takes,

11:27like the Dark Forest, which says that if the universe

11:32is like a dark forest, we're the dumb ones

11:34that aren't hiding our presence.

11:36There's one calculation I saw,

11:37and I haven't reproduced it myself,

11:39but basically says that the assumption

11:42that other civilizations have seen ours is wrong

11:44because when you have like a spherical radius

11:46for like the electromagnetic radiation

11:49that's leaving our planet,

11:50as that sphere gets larger and larger,

11:51it gets like smaller and smaller amounts of energy.

11:55So you get farther out,

11:57you're not getting enough photons or what have you

12:01to actually detect it.

12:04I don't know, I actually haven't looked into the math

12:06behind it, but I remember seeing that argument.

12:08So actually, it is possible that it's so diffuse

12:11when you go past a certain number of light years out

12:14that people, that an alien civilization

12:16wouldn't be able to detect it, right?

12:17That's another argument.

12:18- That's more basically about signals from them,

12:21from us to be able to, signals colliding enough

12:25to find the signal from the noise.

12:28- Right, exactly.

12:28- Intelligent signal.

12:29- Yeah, Hanson has an article called "Grabby Aliens."

12:34Have you seen his thing?

12:35- Yes, I've seen it.

12:35- And so there's--

12:36- He's been on this podcast.

12:38- Oh, great.

12:38- He's brilliant.

12:39- I like him, he pushes boundaries in interesting ways.

12:42- In every ways, in all of the ways.

12:44- In all the ways, that's right.

12:45I like him overall.

12:46He's an asset to humanity.

12:49- Grabby Aliens, so he has this interesting idea

12:52that the civilizations quickly learn how to travel

12:57close to the speed of light,

12:59so we're not gonna see them until they're here.

13:02- Yeah, that's possible.

13:04I mean, one of the things is, so here's, for example,

13:06a mystery that we haven't yet done, right?

13:08Which, or we haven't really figured out yet,

13:10which is abiogenesis in the lab, right?

13:15We've done lots of things where you've got,

13:18you can show macromolecules binding to each other,

13:20you can show evidence for the so-called RNA world,

13:24abiogenesis is to go from non-life to life, right,

13:29in the lab, you can show microevolution,

13:31obviously with bacteria,

13:33you can do artificial selection on them,

13:35lots of other aspects of fundamental biochemistry origins

13:40of life stuff have been established.

13:41There's a lot of plausibility arguments

13:43about the primitive environment

13:45and nitrogens and carbons snapping together

13:47to get the RNA world is the initial hypothesis,

13:51but to my knowledge at least,

13:52we haven't actually seen abiogenesis demonstrated.

13:55Now, one argument is you need just like this massive world

13:59with so many different reps before that actually happens.

14:03And one possibility is if we could do atomic level

14:08simulations of molecules bouncing against each other,

14:11it's possible that in some simulation,

14:13we could find a path, a reproducible path to abiogenesis,

14:16and then just replicate that in the lab, right?

14:19I don't know, okay?

14:21But that seems to me to be like a mystery

14:24that we still don't fully understand,

14:25like an example of the prime number maze, right?

14:27- One of the most fascinating mysteries.

14:29- One of the most important, yep.

14:30- Yeah. - Yeah, and again,

14:31there may be some biochemist who's like,

14:33oh, Vald, you didn't know about X, Y, and Z

14:35that happened in the abiogenesis field.

14:37I freely confess, I'm not like, you know, au courant on it.

14:41The last thing I remember looking at is--

14:43- What's au courant mean?

14:44- Like up to the moment.

14:45- Oh, nice, that's a nice word.

14:47- That's a-- - Au courant.

14:48- I'm probably mispronouncing it, but--

14:49- Yeah, we'll edit it in post

14:52to pronounce it correctly with AI.

14:54- Yeah, yeah. (laughs)

14:55- We'll copy your voice,

14:56and it will pronounce it perfectly correctly in post.

15:00- One thing that I do think was interesting is

15:03Craig Venter a while back tried to make

15:05a minimum viable cell where he just tried to delete

15:09all of the genes that were not considered essential.

15:13And so it's like a new life form,

15:15and this was like almost 20 years ago and so on.

15:17And that thing was viable in the lab, right?

15:20And so it's possible that you could,

15:22you kind of reverse engineer.

15:23So you're coming at the problem from different directions,

15:25like RNA molecules can do quite a lot.

15:27You've got some reasonable assumptions

15:30as to how that could come together.

15:32You've got sort of stripped down minimum viable life forms.

15:36And so it's not there isn't stuff here.

15:38You can see microevolution,

15:40you can see at the sequence level.

15:41You know, if you do molecular phylogenetics,

15:42you can actually track back the basis.

15:44There's actually, so it's not like there's no evidence here.

15:46There's a lot of tools to work with.

15:47But this, in my view, is a fascinating area.

15:49And actually also relevant to AI,

15:51because another form of abiogenesis would be

15:53if we were able to give rise to a different

§03Transcript · 15:56–24:12

15:56branch of life form, the silicon-based

15:57as opposed to carbon-based, you know, to stretch a point.

16:00You give rise to something that actually does meet

16:03the definition of life or some definition of life.

16:05- What do you think that definition is

16:07for an artificial life form?

16:09'Cause you mentioned consciousness.

16:11- Yeah. - When will it give us pause

16:13that we created something that feels by some definition

16:18or by some spiritual, poetic, romantic,

16:24philosophical, mathematical definition

16:26that it is alive. - Right.

16:28- And we wouldn't want to kill it.

16:30- So, couple of remarks on that.

16:31One is Francis Crick, of Watson and Crick,

16:36before he died, I think his last paper

16:37was published on something called the claustrum, okay?

16:40And the thing is that, you know,

16:41sometimes in biology or in any domain,

16:44people are sort of discouraged from going after

16:46the big questions, right?

16:48But he proposed the claustrum is actually the organ

16:51that is the seat of consciousness.

16:53It's like this sheath that covers the brain.

16:56And for mice, if you, and again,

17:00I may be recollecting this wrong, so you can look,

17:02but my recollection is in mice, if you disrupt this,

17:06the mouse is very disoriented, right?

17:08It's like, it's the kind of thing which, you know,

17:11Watson and Crick were all about structure implies function,

17:14right, they found the structure of DNA, this amazing thing.

17:16And, you know, they remarked in this very understated way

17:19at the end of the paper that, well, obviously this gives

17:23a basis for how the genetic material might be replicated

17:25and error corrected because, you know,

17:27helix unwinds and you copy paste it, right?

17:29So he was a big structure function person,

17:31and that applies not just at the protein level,

17:33not just at the level of DNA,

17:35but potentially also at the level of organs.

17:37Like the claustrum is kind of this system integrated level,

17:40right, it's like the last layer in the neural network

17:42or something, you know?

17:44And so that's the kind of thing

17:47that I think is worth studying.

17:48So consciousness is another kind of big,

17:52abiogenesis is a big question, the prime number

17:54remains consciousness is a big question.

17:56And, you know, then definition of life, right?

18:01There's folks, gosh, there's, I think,

18:03so this one is something I'd have to Google around,

18:06but there was a guy, I think at Santa Fe Institute

18:08or something, who had some definition of life

18:10and like some thermodynamic definition.

18:12But you're right that it's gonna be

18:15a multi-feature definition.

18:17We might have a Turing test like definition, frankly,

18:20which is just if enough humans agree it's alive,

18:22it's alive, right?

18:24And that might frankly be the operational definition.

18:26'Cause, you know, viruses are like this boundary case,

18:28you know, are they alive or not?

18:30Most people don't think they're alive,

18:31but they're on, they're kind of,

18:34they're more alive than a rock in a sense.

18:35- Well, I think in a world that we'll talk about today

18:39quite a bit, which is the digital world,

18:42I think the most fascinating, philosophically

18:45and technically definition of life

18:47is life in the digital world.

18:50So chatbots, essentially creatures,

18:54whether they're replicas of humans

18:57or totally independent creations,

19:00perhaps in an automatic way,

19:02I think there's going to be chatbots

19:05that we would ethically be troubled by

19:08if we wanted to kill them.

19:10They would have the capacity to suffer.

19:12They would be very unhappy with you trying to turn them off.

19:17And then there'll be large groups of activists

19:21that will protest and they'll go to the Supreme Court

19:24of whatever the Supreme Court looks like

19:27in 10, 20, 30, 40 years.

19:29And they will demand that these chatbots

19:33would have the same rights as us humans.

19:35Do you think that's possible?

19:37- I saw that Google engineer who was basically saying

19:39this had already happened.

19:40And I was surprised by it because it just,

19:45when I looked at the chat logs of it,

19:48it didn't seem particularly interesting.

19:50On their hand, I can definitely see it.

19:53I mean, GPT-3 for people who haven't paid attention

19:57shows that serious step-ups are possible.

19:59And obviously, you've talked about AI

20:02in your podcast a ton.

20:05Is it possible that GPT-9 or something is kind of like that?

20:09Or GPT-15 or GPT-4, maybe?

20:12But--

20:14- Yeah, for people just listening,

20:16there's a deep skepticism in your face.

20:19- Yeah, the reason being because,

20:22you know what's possible?

20:25It's possible that you have a partition of society

20:27on literally this basis.

20:29That's one model where there's some people,

20:32just like there's vegetarians and non-vegetarians, right?

20:35There may be machines have life

20:40and machines are machines, you know?

20:42Like, or something like that, right?

20:44You could definitely imagine some kind of partition

20:48like that in the future where your fundamental

20:51political social system, that's a foundational assumption.

20:55And, you know, is AI, does it deserve the same rights

21:01as like a human or, for example,

21:02a corporation is an intermediate?

21:05Do you see the thing which is how human

21:08are different corporations?

21:09Have you seen that infographic?

21:10It's actually funny.

21:11So it's like-- - There's a spectrum.

21:12- There's a spectrum.

21:13So for example, Disney is considered about as human

21:15as like a dog, but like Exxon,

21:18I may be remembering this wrong,

21:19but they had like a level with like human at one end

21:21and like rock at the other.

21:22- Does it have to do with corporate structure?

21:23What's the--

21:24- I think it's about people's empathy for that corporation,

21:26their brand identity.

21:28But it's interesting to see that, first of all,

21:31people sort of do think of corporations as being more,

21:35like the branding is really what they're responding to.

21:37- Well, that's what, I mean, they're also responding.

21:39You know, I have a brand of human that I'm trying to sell

21:43and it seems to be effective for the most part.

21:46- Sure.

21:46- Although it has become like a running joke

21:49that I might be a robot.

21:50- Right.

21:51- Which means the brand is cracking.

21:53- Could be.

21:55- It's seeping through.

21:56But I mean, in that sense, I just, I think,

22:00I don't see a reason why chatbots can't manufacture

22:05the brand of being human, of being sentient.

22:09- I mean, that is the Turing test,

22:11but it's like the multiplayer Turing test.

22:12Now that actually a fair number of chatbots

22:14have passed the Turing test,

22:15I'd say there's at least two steps up, right?

22:18One is a multiplayer Turing test

22:21where you have chatbots talking to each other.

22:25And then you ask, can you determine the difference

22:27between in chatbots talking to each other

22:30and clicking buttons and stuff in apps

22:33and humans doing that?

22:34And I think we're very far off,

22:35or I shouldn't say very far off.

22:36At least, I don't know how far we are in terms of time,

22:40but we're still far off in terms of a group of in chatbots

22:44looking like their digital output

22:46is like the group of in humans,

22:47like go from the Turing test

22:49to the multiplayer Turing test.

22:50That's one definition.

22:51Another definition is to be able to kind of swap in

22:56and you're not just convincing one human

22:59that this is a human for a small session.

23:03You're convincing all humans

23:05that this is a human for end sessions.

23:06Remote work actually makes this possible, right?

23:09That's another definition of a multiplayer Turing test

23:11where basically you have a chatbot that's fully automated

23:16that is earning money for you

23:18as an intelligent agent on a computer

23:19that's able to go and get remote work jobs and so on.

23:22I would consider that next level, right?

23:23If you could have something that was like that,

23:25that was competent enough to,

23:28I mean, 'cause everything on a computer can be automated.

23:30Literally, you could be totally hands-free,

23:32just like autonomous driving.

23:33You could have autonomous earning.

23:35As a challenge problem,

23:37if you were Microsoft or Apple

23:39and you had legitimate access to the operating system,

23:42just like Apple says,

23:43"Can you send me details of this event?"

23:45A decentralized thing could, in theory,

23:48log the actions of 10,000 or 100,000 or a million people.

23:53And with cryptocurrency,

23:55you could even monitor a wallet that was on that computer.

23:59And you could see what long run series of actions

24:02were increasing or decreasing this digital balance.

24:05You see what I'm saying?

24:06So you start to get, at least conceptually,

24:09it'd be invasive and there'd be a privacy issue and so on.

24:12Conceptually, you could imagine an agent

§04Transcript · 24:15–32:12

24:15that could learn what actions humans were doing

24:18that resulted in the increase

24:19of their local cryptocurrency balance.

24:21There may be better ways to formulate it,

24:23but that I consider a challenge problem

24:25is to go from the Turing test to a genuine intelligent agent

24:28that can actually go and make money for you.

24:30If you can do that, that's a big deal.

24:31People obviously have trading bots and stuff,

24:33but that would be the next level.

24:34It's typing out emails, it's creating documents.

24:36- So mimic human behavior in its entirety.

24:39- Yeah, that's right.

24:39And it'll schedule Zooms, it'll send emails.

24:42It'll essentially, 'cause if you think about it,

24:45a human is hitting the keys and clicking the mouse,

24:47but just like a self-driving car,

24:48the wheel rotates by itself, right?

24:51Those keys are effectively just,

24:53it's like the automator app in Apple, right?

24:56Everything's just moving on the screen.

24:58You're seeing it there and it's just an AI.

25:00- It's kind of hilarious that the I'm not a robot

25:03click thing actually works.

25:05'Cause I actually don't know how it works,

25:09but I think it has to do with the movement of the mouse,

25:13the timing, and they know that it's very difficult

25:17for currently for a bot to mimic human behavior

25:19in the way they would click that little checkbox.

25:22- Yeah, exactly.

25:23I think it's something, I mean, again,

25:25my recollection on that is it's like a pile

25:27of highly obfuscated JavaScript with all kinds,

25:29it looks like a very simple box,

25:31but it's doing a lot of stuff

25:32and it's collecting all kinds of instrumentation.

25:35And yeah, exactly.

25:36Like a robot is just a little too deterministic

25:39or if it's got noise, it's like Gaussian noise.

25:42And the way humans do it is just not something

25:45that you'd used to be able to do

25:46without collecting thousands and thousands

25:48and thousands of human traces doing it.

25:50But it is a predator prey on that.

25:52- Well, and then the computer--

25:53- Or millions of human traces, I don't know.

25:55- The computer just sees the JavaScript.

25:56It needs to be able to look outside the simulation

26:01for the computer, the world is like,

26:03it doesn't, the computer doesn't know

26:04about the physical world.

26:05So it has to look outside of its world

26:08and introspect back on this simple box,

26:11which is kind of, I think that's exactly what mushrooms do

26:15or like psychedelics is you get to go outside

26:18and look back in and that's what a computer needs to do.

26:21- I do wonder whether they actually give people insight

26:23or whether they give people the illusion of insight.

26:26- Is there a difference?

26:27- Yeah, because, well, actual insight,

26:29actual insight is, again, Maxwell's equations.

26:33You're able to shift the world with that.

26:35There's a lot of practical devices that work.

26:37The illusion of insight is I'm Jesus Christ

26:41and nothing happens, right?

26:43So I don't know.

26:45I think those are quite different.

26:46- I don't know.

26:47I think you can fake it till you make it on that one,

26:50which is insight in some sense is revealing a truth

26:55that was there all along.

26:57- Yeah, so I mean, I guess like I'm talking

26:59about technical insight where you have,

27:02this is the thing we were talking about actually

27:04before the podcast, like technical truths

27:06versus political truths, right?

27:07Some truths, they're on a spectrum

27:10and there's some truths that are actually entirely political

27:12in the sense that if you can change the software

27:15in enough people's heads,

27:16you change the value of the truth.

27:18For example, the location of a border

27:20is effectively consensus between large enough groups

27:23of people.

27:25Who is the CEO?

27:26That's consensus among a certain group of people.

27:29What is the value of a currency or any stock, right?

27:32That market price is just the psychology

27:34of a bunch of people.

27:35Like literally, if you can change enough people's minds,

27:37you can change the value of the border

27:39or the position of the hierarchy

27:40or the value of the currency.

27:41Those are purely political truths.

27:43Then all the way on the other end are technical truths

27:45that exist independent of whatever any one human

27:48or all humans think, like the gravitational constant, right?

27:52Or the diameter of a virus.

27:54Those exist independent of the human mind.

27:57Change in a few minds doesn't matter.

27:59Those remain constant.

28:00And then you have things that are interestingly

28:03in the middle where cryptocurrency has tried

28:05to pull more and more things from the domain

28:07of political truths into technical truths,

28:10where they say, okay, the one social convention we have

28:13is that if you hold this amount of Bitcoin,

28:17or that if you hold this private key,

28:19you hold this Bitcoin.

28:19And then we make that very hard to change

28:21'cause you have to change a lot of technical truths.

28:23So you can push things to this interesting

28:27intermediate zone.

28:27- Yeah, the question is how much of our world

28:31can we push into that?

28:33- Right.

28:34- And that takes us in a nonlinear fascinating journey

28:39to the question I wanted to ask you in the beginning,

28:43which is this political world that you mentioned

28:46in the world of political truth.

28:49As we know it, in the 20th century,

28:51in the early 21st century, what do you think works well

28:55and what is broken about government?

28:57- The fundamental thing is that we can't easily

29:01and peacefully start new opt-in governments.

29:05And--

29:06- Like startup governments.

29:07- Yeah, and what I mean by that is basically,

29:10you can start a new company, you can start a new community,

29:15you can start a new currency even these days.

29:17You don't have to beat the former CEO in a duel

29:20to start a new company.

29:22You don't have to become head of the World Bank

29:25to start a new currency, okay?

29:28Because of this, yes, if you want to,

29:32you can join, I don't know, Microsoft

29:37or name some company that's a GameStop

29:40and you can try to reform it, okay?

29:42Or you can start your own.

29:44And the fact that both options exist mean that

29:47you can actually just start from scratch.

29:50And that's just, I mean,

29:51the same reason we have a clean piece of paper, right?

29:53I've mentioned this actually in the "Network State" book.

29:55I'll just quote this bit,

29:56but we want to be able to start a new state peacefully

29:59for the same reason we want a bare plot of earth,

30:01a blank sheet of paper, an empty text buffer,

30:03a fresh job or a clean slate,

30:05'cause we want to build something new

30:06without historical constraint, right?

30:08For the same reason you hit plus and do docs.new,

30:10you know, like create a new doc.

30:11It's for the same reason, right?

30:13Because you don't have to backspace,

30:14you don't have to have just like 128 bytes of space,

30:17128 kilobytes and just have to backspace the old document

30:19for creating the new one.

30:21So that's a fundamental thing that's wrong

30:23with today's governments.

30:24And it's a meta point, right?

30:25Because it's not any one specific reform,

30:27it's a meta reform of being able to start new countries.

30:30- Okay, so that's one problem,

30:32but you know, you could push back and say,

30:34that's a feature,

30:36because a lot of people argue that tradition is power.

30:39Through generation, if you try a thing long enough,

30:43which is the way I see marriage,

30:44there's value to the struggle

30:47and the journey you take through the struggle

30:49and you grow and you develop ideas together,

30:52you grow intellectually, philosophically together.

30:54And that's the idea of a nation that spans generations,

30:57that you have a tradition that becomes more,

31:02that strives towards the truth

31:06and is able to arrive there, or no, not arrive,

31:09but take steps towards there through the generations.

31:12So you may not want to keep starting new governments.

31:15You may want to stick to the old one

31:19and improve it one step at a time.

31:23So just because you're having a fight inside a marriage

31:25doesn't mean you should get a divorce

31:27and go on Tinder and start dating around.

31:29That's the pushback.

31:31So it's not obvious that this is a strong feature to have

31:35to launch new governments.

31:36- There's several different kind of lines of attack

31:39or debate or whatever on this, right?

31:41First is, yes, there's obviously value to tradition.

31:46And people say, this is Lindy and that's Lindy.

31:49It's been proven for a long time and so on.

31:52But of course there's a tension

31:54between tradition and innovation.

31:56Like going to the moon wasn't Lindy, just, it was awesome.

32:01And artificial intelligence is something that's very new.

32:05New is good, right?

32:07And this is a tension within humanity actually itself,

32:10'cause it's way older than all of these nations.

32:12I mean, humans are tens of thousands of years old.

§05Transcript · 32:15–40:46

32:15The ancestors of humans are millions of years old, right?

32:17And you go back far enough,

32:19and the time that we know today

32:20of the sessile farmer and soldier is,

32:24if you go back far enough,

32:25you wanna be truly traditional,

32:27well, we're actually descended from hunter gatherers

32:29who were mobile and wandered the world

32:32and there weren't borders and so on.

32:33They kind of went where they want, right?

32:35And people have had done historical reconstructions

32:39of like skeletons and stuff like that.

32:41And many folks report that the transition to agriculture

32:45and being sessile resulted in diminution of height.

32:49People had like tooth decay and stuff like that.

32:52The skeletons, people had traded off upside for stability.

32:56Right, that's what the state was.

32:57That was what these sessile kinds of things were.

32:58Now, of course, they had more likelihood

33:02of living consistently.

33:04You could support larger population sizes,

33:06but it had lower quality of life, right?

33:08And so the hunter gatherer,

33:10maybe that's actually our collective recollection

33:12of a Garden of Eden where people,

33:14just like a spider kind of knows innately how to build webs

33:18or a beaver knows how to build dams.

33:20Some people theorize that the entire Garden of Eden

33:23is like a sort of built-in neural network recollection

33:27of this pre-sessile era where we're able to roam around

33:31and just pick off fruits and so on,

33:32low population density.

33:33So the point is that I think what we're seeing is a V3.

33:37You go from the hunter gatherer to the farmer and soldier,

33:40the sessile nations are here

33:42and they've got borders and so on,

33:44to kind of the V3, which is the digital nomad,

33:46the new hunter gatherer.

33:48We're going back to the future

33:49because what's even older than nations is no nations, right?

33:53Even more traditional than tradition

33:55is being international, right?

33:58And so we're actually tapping

33:59into that other huge thread in humanity,

34:01which is the desire to explore, pioneer, wander, innovate.

34:06And I think that's important.

34:08- So the way to make America great again

34:09is to dissolve it completely into oblivion.

34:12No, that's a joke.

34:13- Yeah, yeah, I know it's a joke.

34:15- Humor, I'm learning this new thing.

34:18- Yes, a new thing for the road.

34:19The chatbot emulation isn't fully working there.

34:21- Yeah, yeah, glitch.

34:23That's where in the beta.

34:24- And let me say one other thing about this,

34:26which is, you know, there are,

34:29I mean, everybody in the world,

34:32okay, let's say, I don't know what percentage,

34:34let's say 99.99% or it's rounds to that number

34:39of political discourse in the US

34:42focuses on trying to fix the system.

34:44If those folks, I mean, 0.01% of the energy

34:47is going towards building a new system,

34:49that seems like a pretty good portfolio strategy, right?

34:52Or 100% are supposed to go and edit this code base

34:54from 200 something years ago.

34:56I mean, the most American thing in the world

34:58is going and leaving your country

35:01in search of a better life.

35:02America was founded 200 years ago by the founding fathers.

35:05It's not just a nation of immigrants,

35:06it's a nation of emigrants, right?

35:08Emigration from other countries to the US

35:11and actually also emigration within the US.

35:13There's this amazing YouTube video called,

35:15it's like 50 states, US population, I think 1792.

35:19It says 2050, so they've got a simulation.

35:21So you just stop it at 2019 or 2020.

35:23But it shows that like Virginia was like number one

35:26early on and then it lost ground and like New York gained.

35:29And then like Ohio was a big deal in the early 1800s.

35:32And it was like father of presidents in general,

35:34these presidents and later Illinois and Indiana.

35:37And then California only really came up

35:38in the 20th century, like during the great depression.

35:41And now we're entering the modern era

35:43where like Florida and Texas have risen

35:44and New York and California have dropped.

35:46And so interstate competition,

35:48it's actually just like inter-currency competition.

35:50You've got trading pairs, right?

35:52You sell BTC by ETH, you sell, you know,

35:57Solana or Z, you know, sell Monero by Zcash, right?

36:00Each of those trading pairs gives you signal for today

36:04on this currency is down or up

36:06relative to this other currency.

36:07In the same way, each of those migration pairs,

36:10someone goes from New York to Ohio, Ohio to California,

36:13gives you information on the desirability

36:16of different states.

36:16You can literally form a pairs matrix like this over time,

36:19very much like the link matrix.

36:21That's shaped America in a huge way.

36:22And so, you know, you ask, A, if this nation of immigrants

36:26that was founded by men younger than us, by the way,

36:28the founding fathers were often in their 20s, right?

36:31Who, you know, endorsed the concept of a proposition nation

36:35who've given rise to a country of founders and pioneers

36:40who've literally gone to the moon, right?

36:42Those folks would think that this is the end of history,

36:46that that's it, we're done.

36:47Like, we've done everything else.

36:49I mean, there's people in technology who believe,

36:51and I agree with them, that we can go to Mars,

36:53that we might be able to end death,

36:55but we can't innovate on something that was 230 years old.

36:58You know?

36:59- So there is a balance, certainly, to strike.

37:03The American experiment is fascinating, nevertheless.

37:07So one argument you can make is actually

37:10that we're in the very early days of this V2.

37:12If this is what you describe as V2,

37:15you could make the case that we're not ready for V3,

37:18that we're just actually trying to figure out the V2 thing.

37:22You're trying to like skip-

37:24- When are we ever ready?

37:25- Now again, we'll go back to marriage, I think,

37:28and having kids kind of thing.

37:30I think everyone who has kids

37:31is never really ready to be kids,

37:33this whole point, you dive in.

37:35Okay, but the...

37:37I mean, you mentioned the U.K. and Washington.

37:40Is there other criticisms of government

37:41that you can provide as we know it today?

37:43Before we kind of outline the ideas of V3,

37:47let's stick to V2.

37:48- I'll give a few, right?

37:49And so a lot of this stuff will go into the version.

37:52So I've got this book, "The Network State,"

37:54which covers some of these topics.

37:56- Does "Network State" have a subtitle?

37:58- It is "The Network State, How to Start a New Country."

38:02- How to start a new country.

38:03- But I just have it at thenetworkstate.com.

38:05- I should say, it's an excellent book that you should get.

38:09I read it on Kindle, but there's also a website.

38:12And Balaji said that he's constantly working

38:15on improving it, changing it.

38:18But by the time the whole project is over,

38:21it'll be a different book than it was in the beginning.

38:25- I think so.

38:26- It's getting its old skin.

38:29- Well, I wanted to get something out there

38:31and get feedback and whatnot, just like an app, right?

38:34Again, you have these two poles of an app is highly dynamic

38:37and you're accustomed to having updates all the time

38:39and a book is supposed to be static.

38:40And there's a value in something static,

38:42something unchanging and so on.

38:44But in this case, I'm glad I kind of shipped a version 1.0

38:48and the next version, I'm gonna split it

38:53into like tentatively motivation, theory and practice.

38:57Like motivation, like what is the sort of political

38:59philosophy and so on that motivates me at least to do this,

39:02which you can take or leave, right?

39:04And then theory as to why network state is now possible

39:08and I can define it in a second.

39:10And then the practice is zillions of practical details

39:13and everything from roads to diplomatic recognition

39:15and so on, funding, founding, all that stuff.

39:18A lot of the stuff actually I left out of V1

39:20simply because I wanted to kind of get the desirability

39:23of it on the table and then talk about the feasibility.

39:26- I should actually linger on that briefly

39:28in terms of things we can revolutionize.

39:30Like one of the biggest innovations I think that Tesla does

39:35with the way they think about the car,

39:37with the deploy the car is not the automation

39:39or the electric to me, it's the over the air updates.

39:44Be able to send instantaneously updates to the software

39:50that completely changes the behavior, the UX,

39:54everything about the car.

39:55And so I do think it would be interesting

39:58'cause books are representation of human knowledge,

40:01a snapshot of human knowledge.

40:06And it would be interesting that if we can somehow figure

40:10out a system that allows you to do sort of like a GitHub

40:13for books, like if I buy a book on Amazon

40:16without having to pay again, can I get updates

40:20like V1.1, V1.2 and there's like release notes.

40:25That would be incredible.

40:27It's not enough to do like a second edition

40:30or a third edition, but like minor updates

40:33that's not just on your website,

40:34but actually go into the model that we use to buy books.

40:39So I spend my money, maybe I'll do a subscription service

40:44for five bucks a month where I get regular updates

40:46to the books.

§06Transcript · 40:47–48:26

40:47And then there's an incentive for authors

40:50to actually update their books such that it makes sense

40:53for the subscription.

40:54And that means your book isn't just a snapshot,

40:57but it's a lifelong project.

40:59- Right.

41:00- If you care enough about the book.

41:01- So I think there's a lot that can be done there

41:03because actually in going through this process,

41:05in many ways, the most traditional thing I did

41:07was a self-publish ebook on Kindle, right?

41:11Why?

41:12Because basically like, if you actually ink a deal

41:14with a book publisher, first they'll give you some advance.

41:17I didn't need the advance or anything.

41:19But second is all these constraints.

41:21Oh, you wanna translate into this,

41:23or you wanna do this other format, or you wanna update it,

41:25you have to go and now talk to this other party, right?

41:28And also the narrowing window

41:32of what they'll actually publish, it gets narrower and narrower

41:34you see all these meltdowns over young adult novels

41:38and stuff on Twitter, but it's more than that.

41:40So actually having an Amazon page,

41:44it's just like a marker that a book exists.

41:46- Okay, and now I've got an entry point

41:50where if someone says, okay, I like this tweet,

41:53but how do I kind of get the,

41:55that might be a concept

41:57from like the middle of chapter three, right?

41:58How do I get the thing from front to back?

42:00I can just point them at thenetworkstate.com

42:01that is import this, right?

42:03This one entry point, okay?

42:05And you mentioned like subscription and money

42:10and so on and so forth.

42:10And I think people are paying for content online now

42:12with newsletters and so on, but I've chosen to,

42:15and I will always have the thing free.

42:17And I want it on, you can get the Kindle version on Amazon

42:20simply because you have to kind of set a price for that.

42:23But then networkstate.com, what I wanna do

42:25is have that optimized for every Android phone.

42:28So people in India or Latin America or Nigeria

42:32can just tap and open it.

42:33Gonna do translations and stuff like that.

42:36Greg Fodor of AllSpaceVR, founder of AllSpaceVR,

42:39he sold that and he coded the website

42:42and I worked with him on it.

42:44And there's another designer who, Elijah,

42:47and it was basically just a three-person group.

42:49And we thought we had something pretty nice,

42:51but one thing I was really pleasantly surprised by

42:55is how many people got in touch with us afterwards

42:57and asked us if we could open source the software

42:59to create this website, right?

43:02Because it's actually, you can try it on mobile.

43:03I think it's actually in some ways

43:05a better experience than Kindle.

43:07And so that was interesting because I do think

43:11of the website as like a V1 version

43:13of this concept of a book app, right?

43:15For example, imagine if you have the Bible

43:18and the 10 commandments aren't just text,

43:20but there's like a checklist and there's a gateway

43:23to a Christian community there.

43:25And the practice is embedded into the thing.

43:29Like, did you know brilliant.org?

43:31Amazing site, I love this site.

43:33Brilliant is basically mobile-friendly tutorials

43:36and you can kind of just swipe through,

43:38you're in line at Starbucks or getting on a plane

43:41or something, you just swipe through

43:42and you just get really nice micro lessons on things.

43:46And it's just interactive enough that your brain is working

43:49and you're problem solving.

43:50And sometimes you'll need a little pen and paper,

43:53but that format of sort of very mobile-friendly,

43:57just continuous learning,

43:59I'd like to do a lot more with that.

44:02And so that's kind of where we're gonna go with the book app.

44:05- So there's a lot of fun stuff

44:07about the way you did at least V1 of the book,

44:10which is you have like a one sentence summary,

44:13one paragraph summary, TLDR, and like one image summary,

44:18which is, I think honestly,

44:23it's not even about a short attention span,

44:25it's a really good exercise

44:27about summarization, condensation,

44:29and like helping you think through what is the key insight.

44:34Like we mentioned the prime number maze

44:36that reveals something central to the human condition,

44:41which is struggling against the limitation of our minds.

44:46And in that same way,

44:46you've summarized the network state in the book.

44:49So let's actually jump right there.

44:51And let me ask you, what is the network state?

44:55- What is the network state?

44:56So I'll give it a sentence

44:57and also give it an image, right?

44:58So the informal sentence,

45:00a network state is a highly aligned online community

45:03with a capacity for collective action

45:05that crowdfunds territory around the world

45:07and eventually gains diplomatic recognition

45:09from preexisting states, okay?

45:11So just taking those pieces,

45:13highly aligned online community,

45:15that is not Facebook, that is not Twitter.

45:17People don't think of themselves

45:18as Facebookers or Twitterians, right?

45:21That's just a collection of hundreds of millions of people

45:23who just fight each other all day, right?

45:25It's a fight club.

45:26A company is highly aligned where, you know,

45:28you'll put a task into the company Slack

45:30and if you do it in all hands,

45:33about 100% of the people in a company Slack will do it.

45:35So they're highly aligned in that way.

45:37But online communities don't tend to be highly aligned.

45:39Online communities tend to be like a Game of Thrones fan

45:41club or something like that.

45:42Or, you know, on a Twitter account,

45:44you might get 0.1% of people engaging with something.

45:46It's not the 100%.

45:47If you combine the degree of alignment of a company

45:50with the scale of a community,

45:52that's like what a highly aligned, you know,

45:55online community is, right?

45:56Start to get a thousand or 10,000 people

45:57who can collectively do something as simple

45:59as just all liking something on Twitter.

46:01For example, why would they do that?

46:02They're a guild of electrical engineers.

46:05They're a guild of graphic designers.

46:06And you've got a thousand people in this guild

46:09and every day somebody is asking a favor from the guild

46:12and the other 999 people are helping them out.

46:15For example, I've just launched a new project

46:17or I'd like to get a new job.

46:19Can somebody help me? And so on.

46:20And so you kind of give to get.

46:22You're, you know, you're helping other people

46:24in the community and you're kind of building up karma

46:25this way and then sometimes you spend it down.

46:27Like Stack Overflow has this karma economy.

46:29It's not meant to be an internal economy

46:31that is like making tons and tons of money off of,

46:35it's sort of to keep score, right?

46:36That's a highly aligned online community part.

46:38Then capacity for collective action.

46:39I just kind of described that,

46:41which is at a minimum,

46:43you don't have a highly aligned online community

46:46unless you have a thousand people

46:48and you paste in a tweet and a thousand of them RT it

46:50or like it, okay?

46:52If you can't even get that, you don't have something.

46:54If you do have that, you have the basis

46:56for at least collective digital action on something, okay?

47:00And you can think of this as a group of activists.

47:02You can think of it as, for example, let's say,

47:04I mentioned a guild, but let's say they're a group

47:06that wants to raise awareness of the fact

47:09that life extension is possible, right?

47:11Every day there's a new tweet on, I don't know,

47:15whether it's a Metformin research or Sinclair's work

47:18or David Sinclair, right?

47:20Andrew Huberman has good stuff here, you know,

47:22or there's a Longevity VC.

47:24There's a bunch of folks working in this area.

47:26Every day there's something there.

47:27And literally the purpose of this online community

47:29is raise awareness of longevity.

47:31And of the thousand people, 970 go and like that.

47:34That's pretty good, right?

47:36That's solid.

47:37You've got something there.

47:38You've got a laser, right?

47:39You've got something which you can focus on something

47:41because most of the web to internet is in tropic.

47:44You go to Hacker News, you go to Reddit, you go to Twitter,

47:47and you're immediately struck by the fact

47:48that it's like 30 random things, random.

47:51It's just a box of chocolates.

47:53It's meant to be, you know, we're-

47:55- Some of them look delicious.

47:57- Some of them look delicious.

47:58Novelty, we can over consume novelty, right?

48:01So, you know, where we're talking about earlier,

48:02the balance between tradition and innovation, right?

48:04Here is a different version of that,

48:06which is entropy going in a ton of different directions

48:10due to novelty versus like focus, you know?

48:14It's like heat versus work, you know?

48:16Heat is entropic and work force along a distance.

48:19You're going in a direction, right?

48:21And so if those 30 links on, you know,

48:25the next version of Hacker News or Reddit

48:26or something like so brilliant,

§07Transcript · 48:28–56:02

48:28it's just, that's leveling you up.

48:30The 30 things you click,

48:31you've just gained a skill as a function of that, right?

48:33So these kinds of online communities,

48:35I don't know what they look like.

48:36They probably don't look like the current social media.

48:38They, just like, for example, I know this is a meta analogy,

48:41but in the 2000s, people thought Facebook for Work

48:44would look like Facebook.

48:45And, you know, David Sacks, you know,

48:47founded and sold a company, Yammer,

48:48that was partially on their basis.

48:49It was fine, it was a billion dollar company.

48:51But Facebook for Work was actually Slack, right?

48:55It looked different.

48:56It was more chat focused,

48:57it was less image focused and whatnot.

48:59What does the platform

49:00for a highly aligned online community look like?

49:02I think Discord is the transitional state,

49:04but it's not the end state.

49:06Discord is sort of chatty.

49:08The work isn't done in Discord itself, right?

49:11The cryptocurrency for tracking or the crypto karma

49:14for sort of tracking people's contributions

49:16is not really done in Discord itself.

49:18Discord was not built for that.

49:19And I don't know what that UX looks like.

49:20Maybe it looks like tasks, you know,

49:23like maybe it looks something different.

49:25Okay.

49:26- Wait, wait, wait, let me linger on this.

49:28So you were actually,

49:29there's some people might not be even familiar

49:32with Discord or Slack or so on.

49:34Even these platforms have like communities

49:38associated with them.

49:39- Yes.

49:40- Meaning the big, like the meta community

49:43of people who are aware of the feature set

49:46and that you can do a thing,

49:47that this is a thing and then you could do a thing with it.

49:50Discord, like when I first realized it,

49:52I think it was born out of the gaming world.

49:54- Yes.

49:55- Is like, holy shit, this is like a thing.

49:59There's a lot of people that use this.

50:01- Right.

50:02- There's also a culture that's very difficult to escape

50:04that's associated with Discord

50:06that spans all the different communities within Discord.

50:09Reddit is the same,

50:11even though there's different subreddits,

50:14there's still, because of the migration phenomenon maybe,

50:17there's still a culture to Reddit and so on.

50:19- Yes.

50:20- So I'd like to sort of try to dig in and understand

50:23what's the difference between the online communities

50:27that are formed and the platforms

50:30on which those communities are formed?

50:32- Sure. - Very important.

50:33- Yes, it is, it is.

50:34So for example, an office,

50:36a good design for an office is frequently you have,

50:38the commons, which is like the lunchroom

50:42or the gathering area,

50:44then everybody else has a cave on the border

50:46that they can kind of retreat to.

50:47- Cave in the commons, I love it.

50:48By the way, I was laughing internally

50:50about the heat versus work.

50:51I think that's gonna stick with me.

50:53That's such an interesting way to see Twitter.

50:55- Yeah. - Like is this heat

50:57or is this thread,

51:00'cause there's a lot of stuff going on.

51:02- Right.

51:04- Is it just heat or are we doing some,

51:06is there a directed thing

51:07that's gonna be productive at the end of the day?

51:09- That's right. - I love this.

51:10I've never seen, I mean, anyway,

51:12the cave in the commons is really nice.

51:15So that has to do with the layout of an office

51:18that's effective. - That's right.

51:19And so you can think of many kinds of social networks

51:23as being on the cave in commons continuum.

51:27For example, Twitter is just all commons.

51:30The caves are just like individual DMs

51:32or DM threads or whatever,

51:33but it's really basically just one gigantic,

51:35global, public fight club for the most part, right?

51:38Then you have-- - Or love club.

51:40- Well, some would love the mostly fight.

51:42Or actually it's-- - I love aggressively,

51:44that's all. - Yeah, I mean,

51:45the way I think, I mean, Twitter is like a cross

51:47between a library and a civil war.

51:52It's something where you can learn,

51:55but you can also fight if you choose to fight, right?

51:59- Yeah, well, I mean, it's because of the commons structure

52:04of it, it's a mechanism for virality of anything.

52:09- Yeah, so-- - You just describe

52:11the kind of things that become viral.

52:13- Yeah, meaning no offense to Liberians.

52:15It's like a library and Liberia.

52:17Liberia was wracked by civil war for many years, right?

52:20- Libraries is one of my favorite sets for porn.

52:25Just kidding, jokes.

52:26I'm learning as that's probably crossing the line

52:29for the engineers working on this humor module.

52:31Maybe take that down a notch. - Yeah, gosh.

52:34We're just talking about--

52:35Oh yeah, so continue, go ahead, continue.

52:36- Twitter is the commons. - Yeah, so Twitter

52:37is the commons, then Facebook is like,

52:39it's got all these warrens and stuff.

52:41Facebook, it's very difficult to reason about

52:45like privacy on that.

52:46And the reason is I think it's easy to understand

52:48when something is completely public like Twitter

52:51or completely private like Signal.

52:53And those are the only two modes I think

52:54in which one can really operate.

52:56When something is quasi private like Facebook,

53:00you have to just kind of assume it's public

53:02because if it's interesting enough,

53:03it'll go outside your friend network

53:06and it'll get screenshotted or whatever and posted.

53:08And so, Facebook is sort of forced into default public

53:13despite its privacy settings.

53:15For anybody who says something interesting,

53:17if it's like, you can figure out all their dials

53:20and stuff like that, but just hard to understand

53:22unless it's totally private or totally public.

53:24You have to basically treat it if it's totally public,

53:26if it's not totally private.

53:27Okay, at least under a real name.

53:29I'll come back to Soonim.

53:30So you've got Twitter, that's total commons.

53:32Facebook, which is like a warrens,

53:34it's like rabbit warrens or like a ant colony

53:36where you don't know where information is traveling.

53:39Then you've got Reddit, which has sort of your global Reddit

53:42and then all the subreddits.

53:43That's a different model of cave and commons.

53:45I think one of the reasons it works

53:46is that you have individual moderators

53:48where something is totally off topic and unacceptable

53:52in this subreddit and totally on topic and acceptable

53:55in another, that's like kind of a precursor

53:59of the digital societies I think that we're gonna see

54:01that actually have become physical societies,

54:03like lots and lots of subreddit like things

54:06have become physical societies.

54:07Then you start going further into like Discord

54:12where it's more full featured than,

54:15as you go Twitter, Facebook, Reddit,

54:19now you jump into Discord and Discord

54:21is a bunch of individual communities that are connected

54:25and you can easily sort of jump between them.

54:27And then you have Slack and yes, you can use Slack

54:32to go between different company Slacks,

54:33but Slack historically at least,

54:35I'm not sure what their current policy is,

54:36historically they discourage public Slacks.

54:38So it's mostly like you have your main Slack

54:41for your company and then you sometimes may jump into like,

54:44let's say you've got a design consultant

54:45or somebody like that, you'll jump into their Slack.

54:47But Discord is, you've got way more Discords usually

54:49that you jump into than Slacks, right?

54:51- Well, and let me ask you then on that point

54:53because there is a culture, one of the things I discovered

54:57on Reddit and Discord of anonymity or pseudonyms

55:01or usernames that don't represent the actual name.

55:03Now Slack is an example of one.

55:05So I think I did a, I used to have a Slack

55:08for like deep learning course that I was teaching

55:11and that was like very large, like 20,000 people, whatever.

55:14But so you could grow quite large,

55:17but there was a culture of like,

55:18I'm going to represent my actual identity, my actual name.

55:21And then the same stuff in Discord,

55:23I think I was the only asshole

55:24using my actual name on there.

55:26It's like everybody was using pseudonyms.

55:29So what's the role of that in the online community?

55:33- Well, so I actually gave a talk on this a few years ago

55:35called "The Pseudonymous Economy," okay?

55:38And it's come about faster than I expected,

55:41but I did think it was going to come about fairly fast.

55:44And essentially the concept is obviously we've had,

55:45so first, anonym, pseudonym, real name, right?

55:49- Can you describe the difference in that?

55:51- Anonymous is like 4chan where there's no tracking of a name.

55:56You know, there's zero reputation

55:58associated with an identity, right?

56:00Pseudonymous is like much of Reddit

56:02where there's a persistent username

§08Transcript · 56:04–1:03:59

56:04and it has karma over time,

56:06but it's not linked to the global identifier

56:10that is your state name, all right?

56:11So your quote real name,

56:13even the term real name, by the way, is a misnomer

56:14because it's like your social security name,

56:17like social security number.

56:18It's your official government name.

56:20It's your state name.

56:22It is the tracking device.

56:23It's the air tag that's put on you, right?

56:26Why do I say that, right?

56:27Another word for a name is a handle.

56:29And so just visualize like a giant file cabinet.

56:31There's a handle with Lex Friedman on it

56:33that anybody, the billions of people around the world

56:35can go up to and they can pull this file on you out.

56:40Images of you, things you said,

56:42like billions of people can stalk

56:44billions of other people now.

56:45That's a very new thing.

56:46And I actually think this will be a transitional era

56:49in like human history.

56:51We're actually gonna go back

56:52into a much more encrypted world.

56:53- Okay, okay, okay, let me linger on that

56:56because another way to see real names

57:00is the label on a thing that can be canceled.

57:04- Yes, that's right.

57:05In fact, there's a book called "Seeing Like a State"

57:07which actually talks about the origins

57:09of surnames and whatnot.

57:11Like if you have a guy who is,

57:15that guy with brown hair,

57:16that's like an analog identifier.

57:17It could mean 10 different people in a village.

57:19But if you have a first name, last name,

57:21okay, that guy can now be conscripted.

57:23You can go down with a list,

57:24a list of digital identifiers,

57:26pull that guy out, pull him into the military

57:28for conscription, right?

57:30So that was like one of the purposes of names

57:32was to make masses of humans legible to a state, right?

57:37Hence seeing like a state, you can see them now, right?

57:39See, digital identifiers,

57:41one thing that people don't usually think about

57:43is pseudonymity is itself a form of decentralization.

57:47So, you know, people know Satoshi Nakamoto was pseudonymous.

57:50They also know he's into decentralization.

57:52But one way of thinking about it is,

57:54let's say his real name, okay,

57:56or his state name is a node, okay?

58:00Attached to that is every database,

58:03you know, his Gmail, his, you know, Facebook,

58:07if he had one, every government record on him, right?

58:11All of these databases have that state name

58:16as the foreign key, right?

58:19And so it can go and look things up

58:21in all of those databases, right?

58:24And so it's like, think of it as being the center

58:27of a giant network of all of these things.

58:29When you go and create a pseudonym,

58:31you're budding off a totally new node

58:32that's far away from all the rest.

58:34And now he's choosing to attach BitcoinTalk and Bitcoin.org

58:38and the GPT signatures of the code,

58:41if he should choose to do that.

58:42All those things, the digital signatures

58:45are all attached to this new decentralized name

58:48because he's instantiating it, not the government, right?

58:52One way of thinking about it is the root administrator

58:54of the quote real name system is the state

58:57because you cannot simply edit your name there, right?

59:01You can't just go, you can't log into USA.gov

59:03and backspace your name and change it.

59:05Moreover, your birth certificate,

59:06all this stuff that's fixed and immutable, right?

59:09Whereas you would take for granted

59:10that on every site you go to, you can backspace,

59:12you can be like, call me Ishmael, you know,

59:14walk into a site, use whatever name you want.

59:16You just have to use the same name across multiple sites,

59:18you can do that.

59:19And if not, you don't have to.

59:20One thing that we're seeing now actually

59:22is at the level of kids, you know, the younger generation,

59:26Eric Schmidt several years ago mentioned that, you know,

59:29people would like change their names when they became adults

59:31so that they could do that.

59:33This is kind of already happening.

59:34People are using, I remarked on this many years ago,

59:37search resistant identities, okay?

59:40Why?

59:41They have their Finsta,

59:41which is their quote fake name Instagram

59:43and Rinsta, which is their real name Instagram.

59:46- Oh, this is cool.

59:46- Okay, and what's interesting is on their Rinsta,

59:50they're their fake self

59:51because they're in their Sunday best and, you know, smiling.

59:53And this is the one that's meant to be search indexed, right?

59:56On the Finsta, with their fake name,

59:58this is just shared with their closest friends.

60:01They're their real self and they're, you know,

60:02hanging out at parties or whatever, you know?

60:05And so this way they've got something

60:07which is the public persona and the private persona, right?

60:10The public persona that's search indexed

60:12and the private persona that is private for friends, right?

60:16And so organically people are, you know, like Jean Jacobs,

60:19she talks about like cities and how, you know,

60:21they're organic and what I like.

60:23Some of the mid 20th century guys,

60:25the architecture they had removed shade from, you know,

60:30like awnings and stuff like that got removed.

60:32So this is like the restoration of like awnings and shade

60:35and structure so that you're not always exposed

60:37to the all seeing web crawler that I have sore on,

60:40which is like Google bot just indexing everything.

60:43These are search resistant identities

60:44and that like I just sort of passes over you,

60:47like, you know, in the Terminator,

60:48like in the Terminator,

60:49I just kind of passes over you, right?

60:51So search resistant identity is not pulled up,

60:52it's not indexed, right?

60:54And now you can be your real self.

60:56And so we've had this kind of thing for a while

60:58with communication.

61:00The new thing is that cryptocurrency

61:01has allowed us to do it for transaction,

61:03hence the pseudonymous economy, right?

61:05And should go from anonymous, pseudonymous, real name.

61:09These each have their different purposes,

61:11but the new concept is that pseudonym,

61:16you can have multiple of them, by the way,

61:17your ENS name, you could have it under your quote,

61:19real name or state name, like Lex Friedman.eth,

61:22but you could also be punk6529.eth, okay?

61:26And now you can earn, you can sign documents,

61:28you can boot up stuff,

61:30you can have a persistent identity here, okay?

61:33Which has a level of indirection to your real name.

61:36Why is that very helpful?

61:38Because now it's harder to both discriminate against you

61:41and cancel you.

61:42Concerns of various factions are actually obviated

61:46or at least partially addressed

61:48by going pseudonymous as default, right?

61:50It is the opposite of bring your whole self to work,

61:51it's bring only your necessary self to work, right?

61:54Only show those credentials that you need, right?

61:56Now, of course, anybody who's in cryptocurrency

61:59understands Satoshi Nakamoto and so on is for this,

62:01but actually many progressives are for this as well.

62:03Why?

62:03You don't ban the boxes.

62:05It's like, you're not supposed to ask about

62:07felony convictions when somebody is being hired

62:10because they've served their time, right?

62:12Or you're not supposed to ask about immigration status

62:15or marital status in an interview,

62:18and people have this concept of blind auditions

62:21where if a woman is auditioning for a violin seat,

62:26they put it behind a curtain so they can't downgrade her

62:30for playing, so her performance is judged

62:35on the merits of its audible quality,

62:37not in terms of who this person is.

62:40So this way they don't discriminate

62:41versus male or female for who's getting a violin position.

62:46So you combine those concepts like ban the box,

62:48not asking these various questions, blind auditions,

62:51and then also the concept of implicit bias.

62:52Like if you believe this research,

62:55people are unconsciously biased towards other folks, right?

62:58Okay, so you take all that, you take Satoshi,

63:01and you put it together, and you say,

63:02"Okay, let's use pseudonyms."

63:04That actually takes unconscious bias even off the table,

63:07right, because now you have genuine global equality

63:11of opportunity.

63:12Moreover, you have all these people,

63:13billions of people around the world

63:14that might speak with accents,

63:16but they type without them.

63:17And now if they're pseudonymous,

63:19you aren't discriminating against them, right?

63:21Moreover, with AI, very soon, the AI version of Zoom,

63:25you'll be able to be whoever you wanna be

63:28and speak in whatever voice you wanna speak in, right?

63:31And you'll be, and that'll happen in real time.

63:35- So I mean, this is really interesting,

63:36but for Finsta and Rinsta,

63:41there's some sense in which the fake Instagram

63:46you're saying is where you could be your real self.

63:49Well, my question is under a pseudonym

63:54or when you're completely anonymous,

63:56is there some sense where you're not actually

63:59being your real self, that as a social entity,

§09Transcript · 1:04:04–1:11:34

64:04human beings are fundamentally social creatures,

64:10and for us to be social creatures,

64:12there is some sense in which we have to have

64:14a consistent identity that can be canceled,

64:18that can be criticized or applauded in society,

64:23and that identity persists through time.

64:28So is there some sense in which we would not be

64:31our full, beautiful human selves

64:34unless we have a lifelong, consistent, real name

64:38attached to us in a digital world?

64:40- So this is a complicated topic,

64:42but let me make a few remarks.

64:43First is real names, quote-unquote state names,

64:46were not built for the internet.

64:47They're actually state names, right?

64:49It's actually a great way of thinking about it,

64:51a social security name, right?

64:53So your state name, your official name,

64:55was not built for the internet.

64:57Why?

64:58They give both too much information and too little, okay?

65:02So too much information because someone with your name

65:05can find out all kinds of stuff about you.

65:07Like for example, if someone doesn't wanna be stalked,

65:11right, their real name is out there,

65:13their stalker knows it, they can find address information,

65:16all this other kind of stuff, right?

65:18And with all these hacks that are happening,

65:20just every day we see another hack, massive hack, et cetera,

65:23that real name can be indexed into data

65:25that was supposed to be private, right?

65:26Like for example, the Office of Personnel Management,

65:28like the government, the US government,

65:31many governments actually, are like a combination

65:33of the surveillance state and the Keystone cops, right?

65:37Why?

65:37They slurp up all the information

65:39and then they can't secure it.

65:40So it leaks out the back door, okay?

65:42They basically have 100 million records

65:45of all this very, 300 million records,

65:47all this very sensitive data,

65:48they just get owned, hacked over and over again, right?

65:51And so really there should be something

65:52which just totally inverts the entire concept of KYC

65:55and what have you.

65:56And of course, comply with the regulations

65:58as they are currently written.

65:59But also you should argue privacy over KYC,

66:03the government should not be able to collect

66:04what it can't secure.

66:05It's slurping up all this information,

66:07it's completely unable to secure it,

66:09it's hacked over and over again.

66:11Like China probably has the entire OPM file.

66:14And it's not just that, like Texas is hacked.

66:16And some of these hacks are not even detected yet, right?

66:19And these are just the ones that have been admitted.

66:21And so what happens is criminals can just run this stuff

66:26and find, oh, okay, so that guy

66:28who's got that net worth online,

66:30and he merges various databases,

66:31they've got a bunch of addresses to go and hit, okay?

66:33So in that sense, real names were not,

66:36state names were not built for the internet,

66:37they just give up too much information.

66:38In our actually existing internet environment,

66:41they give up too much information.

66:42On the other hand, they also give too little, why?

66:44If instead you give out lexfriedman.eth, okay?

66:49Or a similar crypto domain name or urban name

66:51or something like that.

66:53Now that's actually more like a DNS, okay?

66:56First, if you've got a lexfriedman.eth,

66:58what can you do that?

67:00Some you can do today, some you'll soon be able to do.

67:03You can pay lexfriedman.eth,

67:05you can message lexfriedman.eth,

67:07you can look it up like a social profile,

67:10you can send files to it, you can upload and download.

67:14Basically, it combines aspects of an email address,

67:17a website, a username, et cetera, et cetera.

67:23Eventually, I think you'll go from email to phone number

67:26to ENS address or something like that

67:28as the primary online identifier,

67:30because this is actually a programmable name, right?

67:34Whereas a state name is not.

67:36Think about it, like a state name will have apostrophes

67:38perhaps in it, or is that your middle name

67:40or this and that?

67:41That was a format that was developed for the paper world,

67:43right?

67:44Whereas the ENS name is developed for the online world.

67:46Now, the reason I say ENS or something like it,

67:49you know, somebody in a village,

67:52their name might be Smith because they were a blacksmith

67:54or Potter because they were a Potter, right?

67:57And same, I think your surname,

67:59right now for many people, it's .eth

68:01and that reflects the Ethereum community.

68:03Your surname online will carry information about you.

68:06Like .solve says something different about you.

68:09.btc says yet something different.

68:11I think we're gonna have a massive fractionation

68:13of this over time.

68:14We're still in the very earliest days

68:15of our internet civilization, right?

68:18100, 200 years from now, those surnames may be

68:20as informative as say Chen or Friedman or Srinivasan

68:23in terms of what information they carry,

68:25'cause the protocol, it's the civilization fundamentally

68:27that you're associated with, right?

68:28- Right, so there's some improvements to the real name

68:32that you could do in the digital world.

68:34But do you think there's value of having a name

68:36that's persists throughout your whole life

68:39that is shared between all the different digital

68:44and physical communities?

68:44- I think you should be able to opt into that, right?

68:47- At which stage?

68:48- At which level, in terms of the society

68:50that you're joining.

68:51- Wait a minute, so can I murder a bunch of people

68:54in society one and then go to society two

68:59and be like, I'm murder free.

69:01My name is-- - No, no, I don't mean it

69:02like that, no, no, yeah.

69:03So here's why that wouldn't work.

69:05- That's the application I'm interested in.

69:07- Okay, well, I'm not interested in the murder application,

69:09but what do you think?

69:10I don't know, I'm just kidding.

69:11- I would like you to prevent me,

69:14a person who's clearly bad for society, from doing that.

69:17- Sure, sure, sure.

69:18Murder is gonna be against the rules

69:20in almost every society.

69:21And I mean, people will argue--

69:23- Most likely, yeah.

69:24- Yeah, most likely, right?

69:25And the reason I'm thinking-- - Except animals.

69:28- Well, I'm thinking of like the Aztecs or the Mayas

69:30or something like that, there's various,

69:32you know, Soviet Union, there's weird edge case,

69:35unfortunately. - Broad words.

69:36- Yeah, there's societies, unfortunately,

69:37that have actually, that's why I asterisked it.

69:40But let's say murder is something that society one

69:45probably has effectively a social smart contract

69:48or a social contract that says, that's illegal,

69:51therefore, you're in jail,

69:52therefore, you're deprived of the right to exit.

69:54But upon entry into that society, in theory,

69:57you would have said, okay, I accept this, quote,

70:00social contract, right?

70:01Obviously, if I kill somebody, I can't leave, okay?

70:04So you've accepted upon crossing the border into there,

70:07right?

70:08Now, as I mentioned, you know, like, what is murder?

70:12Like people will, I mean, there's an obvious answer,

70:15but as I said, there's been human sacrifice

70:17in some societies, communism, they kill lots of people,

70:19Nazism, they kill lots of people.

70:20Unfortunately, there's quite a lot of societies,

70:23you know, I wanted to say it's an edge case,

70:25but maybe many of the 20th century societies

70:28around the world have institutionalized

70:29some kind of murder, whether it was the Red Terror,

70:31you know, in the Soviet Union,

70:32or obviously the Holocaust, or, you know,

70:34the Cultural Revolution, or Year Zero,

70:37and so on and so forth, right?

70:38So my point there is that who's committing all those murders?

70:43It was the state, it was the organization

70:45that one is implicitly trusting them to track you, right?

70:48And how did they commit those murders?

70:49Well, how did Lenin, you know,

70:52do you know the hanging order?

70:53You know what I'm talking about,

70:54the hanging order for the Kulaks?

70:56- Yes.

70:56- Okay, the famous hanging order,

70:57which actually showed they were actually bloodthirsty,

70:59the key thing was he said,

71:00"Here's a list of all the quote rich men,

71:02"the Kulaks, go and kill them."

71:04The real names, the state names

71:06were what facilitated the murder.

71:07They didn't prevent the murderers there, right?

71:11So my point is, just in the ethical weighting of it,

71:14it's a two-sided thing, right?

71:16You're right that the tracking can, you know,

71:19prevent disorganized murders,

71:21but the tracking facilitates,

71:22unfortunately, organized murders.

71:24Lists of undesirables were the primary tool

71:27of all of these oppressive states in the 20th century.

71:29You see my point?

71:31- I see your point, and it's a very strong point.

71:34In part, it's a cynical point,

§10Transcript · 1:11:38–1:20:06

71:38which is that the rule of a centralized state

71:44is more negative than positive.

71:50- I think it is like nuclear energy, okay?

71:54It's like fire.

71:57It is something which you're gonna keep having it reform

72:01because there's good reasons where you have

72:03centralization, decentralization, re-centralization,

72:06but power corrupts, absolute power corrupts absolutely,

72:09and you just have to be very suspicious

72:11of this kind of centralized power.

72:13The more trust you give it,

72:14often the less trust it deserves.

72:17It's like a weird feedback loop, right?

72:18The more trust, the more it can do.

72:20The more it can do, the more bad things it will do.

72:24So, okay, there is a lot of downside to the state

72:29being able to track you.

72:31And history teaches us lessons, one at a large scale,

72:36especially in the 20th century, at the largest of scale,

72:38a state can do, commit a large amount of murder

72:41and suffering.

72:42- And by the way, history isn't over.

72:43If you think about what the Chinese are building on this,

72:47that surveillance state, it's not just tracking your name,

72:51it's tracking everything on you.

72:53Like WeChat is essentially like,

72:55it is all the convenience and none of the freedom.

72:59- So that's the downside, but don't you,

73:03the question is, I think probably fundamentally

73:05about the human nature of an individual,

73:09of how much murder there would be

73:12if we can just disappear every time we murder.

73:16- Well, I mean-- - At the individual level.

73:18- So the issue is basically like,

73:20once one realizes that the moral trade-off

73:23has two poles to it, right?

73:25And moreover that basically centralized organized murder

73:27has, I mean, if we add up all the disorganized murder

73:31of the 20th century, it's probably significantly less

73:33than the organized murder that these states facilitated.

73:38And probably by, R.J. Rommel has this thing

73:40called democide, right?

73:41And the thing is, it's so grim, right?

73:43Because it's saying like, one death is a tragedy,

73:46a million is a statistic, right?

73:48These are just like, just incalculable tragedies

73:51that we can't even understand.

73:54But nevertheless engaging with it,

73:57like, I don't know, is the ratio 10X?

74:00Is it 100X?

74:00I wouldn't be surprised if it's 100X, right?

74:02- Yeah, but have you seen the viciousness,

74:04the negativity, the division within online communities

74:09that have anonymity?

74:11- So that's the thing, is basically,

74:13there's also a Scylla and a Charybdis.

74:14I'm not, when you see what centralization can do,

74:19and you correct in the direction of decentralization,

74:23you can overcorrect with decentralization

74:25and you get anarchy.

74:26And this is basically, then you want to re-centralize, right?

74:28And this is the, I think it's the romance

74:31of the three kingdoms, the empire long united must divide,

74:34the empire long divided must unite.

74:35That's always the way of it, right?

74:37So what's gonna happen is,

74:38we will state certain verbal principles, right?

74:42And then the question is, where in state space you are?

74:45Are you too centralized?

74:46Well, then, okay, you want to decentralize.

74:47And are you too decentralized?

74:49Then we want to centralize and maybe track more, right?

74:51And people opt into more tracking

74:53because they will get something from that tracking,

74:55which is a greater societal stability.

74:57So it's kind of like saying, are we going north or south?

75:01And the answer is like, what's our destination?

75:02Where's our current position

75:04in the civilizational state space?

75:06- Well, my main question, I guess,

75:08is does creating a network state escape

75:13from some of the flaws of human nature?

75:15The reason you got Nazi Germany is a large scale resentment

75:20with different explanations for that resentment

75:22that's ultimately lives in the heart of each individual

75:26that made up the entirety of Nazi Germany

75:28and had a charismatic leader

75:30that was able to channel that resentment into action,

75:34into actual policies,

75:35into actual political and military movements.

75:40Can't you not have the same kind of thing

75:41in digital communities as well?

75:44Have you heard the term argumentum ad Hitlerum

75:46or like Godwin's law or something?

75:47Like, it's something where if the reference point is Hitler,

75:51it's this thing where a lot of things break down.

75:54But I do think, I mean, look, is there any,

75:56did Bitcoin manage to get where it was

75:59without a single shot being fired to my knowledge?

76:01Yes, right?

76:03Did Google manage to get to where it is

76:04without shots being fired?

76:05Absolutely.

76:06And-

76:08- While a lot of shots were being fired

76:11elsewhere in the world.

76:13- Sure.

76:13- And-

76:14- But who's firing those shots?

76:16- The states.

76:16- The states, right, yeah.

76:17- But that's because Bitcoin and Google

76:20are a tiny minority of communities.

76:22It's like the icing on the cake of human civilization.

76:25- Sure.

76:26Basically, any technology, I mean, like you can use a hammer

76:30to go and hit somebody with it, right?

76:31I'm not saying every technology is equally destructive

76:36or what have you, but you can conceive of,

76:38it's kind of like rule 34, but for technology, right?

76:43Okay, right, you can probably figure out some-

76:45- Your ability to reference brilliant things throughout

76:48is quite admirable, yes.

76:50But anyway, sorry, rule 34 for technology.

76:52- Rule 34, but for abusive technology,

76:54you can always come up with a black mirror version

76:56of something.

76:57And in fact, there is this kind of funny tweet,

76:59which is like a sci-fi author.

77:02My book, "Don't Invent the Torment Nexus,"

77:05was meant to be a cautionary tale on what would happen

77:09if society invented the torment nexus.

77:11And then it's like, "Tech guys, at long last,

77:15we have created the torment nexus."

77:16(laughing)

77:17Or whatever, right?

77:18And so the thing is that simply describing something,

77:22some abuse, unfortunately,

77:24after the initial shock wears off,

77:28people will unconsciously think of it

77:29as sort of an attractor in the space, right?

77:32It's like, I'll give you some examples,

77:33like "Minority Report" had the gesture thing, right?

77:37And the Kinect was based on that.

77:38So it's a dystopian movie, but had this cool kind of thing,

77:40and people kind of keyed off it, right?

77:43Or people have said that movies like "Full Metal Jacket,"

77:47that was meant to be, in my understanding,

77:49is meant to be like an anti-war movie.

77:50But lots of soldiers just love it,

77:53despite the fact that the drill sergeant

77:55is actually depicted as a bad guy, right?

77:57For the sort of portrayal of that kind of environment, right?

78:01So I'm just saying, it's like giving the vision

78:02of the digital Hitler or whatever.

78:04It's not actually a vision I want to paint.

78:06I do think everything is possible.

78:09Obviously, ISIS uses the internet, right?

78:11- Yeah, we're not bringing up Hitler in a shallow argument.

78:17We're bringing up Hitler

78:18in a long, empathetic, relaxed discussion,

78:22which is a different-- - Sure, sure, I understand.

78:23- Which is where Hitler can live, in a healthy way.

78:27There's deep lessons in Hitler and Nazi Germany,

78:32as there is with Stalin, yes.

78:33- Okay, so in many ways,

78:35and this is a very superficial way of talking about it,

78:39but this is, exit is the anti-genocide technology, right?

78:43Because exit is the route of the politically powerless.

78:46Exit is not, people always say,

78:48oh, exit is for the rich, or whatever.

78:49That's actually not true.

78:50Most immigrants equals most emigrants are not rich.

78:54They're politically powerless.

78:55- You can describe exit.

78:57- What is exit?

78:58So there's this book, which I reference a lot,

79:00I like it, called "Exit, Voice, and Loyalty"

79:03by Albert Hirschman, okay?

79:05And he essentially says,

79:07and I gave this talk in 2013

79:10that goes through this at YC Starb School,

79:14but just to describe these,

79:16voices reform, exits alternatives.

79:18For example, in the context of an open source project,

79:21voice is submitting a bug, and exit is forking.

79:25In a company, voices, you're saying,

79:30hey, here's a ticket, okay, that I'd like to get solved,

79:34and exit is taking your business elsewhere, okay?

79:37You know, at the level of corporate governance,

79:39voices, you know, board of directors vote,

79:41and exit is selling your shares, right?

79:42In a country, voice is a vote, and exit is migration, okay?

79:47And I do think that the two forces we talk about a lot,

79:51democracy and capitalism, are useful forces,

79:54but there's a third, which is migration, right?

79:59So you can vote with your ballot,

80:00you can vote with your wallet, you can vote with your feet.

80:02Wallet has some aspects of exit built into it,

80:06but voting with your feet actually has some aspects

§11Transcript · 1:20:08–1:28:06

80:08of voice built into it, because when you leave,

80:10it's like an amplifier on your vote.

80:11You might say 10 things, but when you actually leave,

80:14then people take what you said seriously,

80:16you're not just like complaining or whatever,

80:18you actually left San Francisco

80:19because it was so bad on this and this issue,

80:22and you've actually voted with your feet.

80:23It is manifest preference as opposed to stated preference.

80:27So voice versus exit is this interesting dichotomy.

80:29Do you try to reform the system, or do you exit it,

80:31and build a new one, or seek an alternative?

80:33And then loyalty modulates this,

80:35where if you are a patriot,

80:38as part of the initial part of your conversation,

80:40like, "Are you a traitor?

80:44"You're giving up on our great thing," or whatever,

80:47and people will push those buttons to get people to stick.

80:49I shouldn't say the bad version, let's say a common version.

80:53Sometimes good, sometimes bad.

80:54But then there's the good version, which is,

80:58"Oh, maybe the price is down right now,

81:00"but you believe in the cause."

81:02So even if they're on paper, you would rationally exit,

81:06you believe in this thing,

81:08and you're gonna stick with it, okay?

81:10So loyalty can be, again, good and bad,

81:12but it kind of modulates the trade-off

81:13between voice and exit, okay?

81:15So given that framework, we can think of a lot of problems

81:20in terms of, "Am I gonna use voice or exit

81:23"or some combination thereof?"

81:24'Cause they're not mutually exclusive.

81:25It's kind of like left and right,

81:26sometimes you use both together.

81:28I think that one of the biggest things the internet does

81:31is it increases microeconomic leverage

81:34and therefore increases exit in every respect of life.

81:37For example, on every phone,

81:40you can pick between Lyft and Uber, right?

81:44When you're at the store, you see a price on the shelf

81:47and you can comparison shop, right?

81:49If it's Tinder, you can swipe, right?

81:51If it's Twitter, you can click over to the next account.

81:54The back button is exit.

81:55The microeconomic leverage,

81:58leverage in the sense of alternatives, right?

82:01This is like one of the fundamental things

82:03that the internet does.

82:04It puts this tool on your desktop

82:06and now you can go and talk to an illustrator

82:08or you can kind of build it yourself, right?

82:10By typing in some characters into Dali.

82:13- And that makes the positive forces of capitalism

82:15more efficient, increase in microeconomic leverage.

82:19- And it's individual empowerment, right?

82:21And so our sort of industrial-age systems

82:24were not set up for that level of individual empowerment.

82:26Just to give you like one example that I think about.

82:28We take for granted every single website

82:30you go and log into.

82:31You can configure your Twitter profile

82:33and you can make it dark mode or light mode

82:36and your name, all this stuff is editable, right?

82:38How do you configure your USA experience?

82:40Is there a USA.gov that you edit?

82:44Can you even edit your name there?

82:45- Dark mode for USA.

82:48- But I mean, just your profile.

82:49Is there like a national profile?

82:51I mean, there's like driver's license.

82:52Point is that it's assumed

82:54that it's not like individually customizable

82:56quite in that way, right?

82:58Of course you can move around your house

83:00and stuff like that.

83:00But it's not like your experience of the US

83:04is like configurable, you know?

83:07- Let me think about that.

83:08Let me think about sort of the analogy of it.

83:11So the microeconomic leverage, you can switch apps.

83:15Can you switch your experience in small ways,

83:21efficiently, multiple times a day

83:23in inside the United States?

83:25- Well, the physical world--

83:28- You do, yeah, under the constraints of the physical world,

83:31you do like micro migrations.

83:33- So this is coming back to the hunter-gatherer,

83:35farmer-soldier, digital nomad kind of thing, right?

83:38The digital nomad combines aspects of the V1 and the V2

83:43for a V3, right?

83:44Because digital nomad has the mobility and freedom

83:47with the hunter-gatherer,

83:48but some of the consistency of the civilization

83:52of the farmer and soldier, right?

83:54But coming back to this,

83:55one other thing about it is in the 1950s,

83:58if a guy in assembly line

83:59might literally push the same button for 30 years, okay?

84:02Whereas today, you're pushing a different key every second.

84:05That's like one version of like microeconomic leverage.

84:10Another version is, in the 1980s,

84:13I mean, they didn't have Google Maps, right?

84:15So you couldn't just like discover things off the path.

84:17People would just essentially do home to work

84:20and work to home and home to work

84:22and a trip had to be planned, right?

84:25They were contained within a region of space

84:27or you do home to school, school to home, home to school.

84:30It wasn't like you went and explored the map.

84:33Most people didn't, right?

84:34They were highly cannalized, okay?

84:36Meaning, it was just back and forth, back and forth,

84:39very routine, just like the push the button,

84:41push the button, trapped within this very small piece

84:46and also trapped within this large country

84:48'cause it was hard to travel between countries and so on.

84:50Again, of course there were vacations,

84:52of course there were some degree of news and so on.

84:54Your mobility wasn't completely crushed

84:56but it was actually quite low, okay, relatively speaking.

84:59Just you were trapped in a way

85:02that you weren't even really thinking about it, okay?

85:04And now that map has opened up.

85:06Now you can see the whole map.

85:08You can go all over the place.

85:10You know, I don't have the data to show it

85:11but I'd be shocked if people,

85:14the average person didn't go to more places,

85:16wasn't, you know, going to more restaurants

85:19and things like that today than they were in the '80s

85:21simply because the map is open, okay?

85:23- And the map is made more open through the digital world.

85:27- Through the digital world, exactly.

85:28So we're reopening the map like the hunter-gatherer, okay?

85:31Because you can now, think about every site

85:33for very low cost that you can visit, right?

85:36The digital world, you can, I mean,

85:37how many websites have you visited?

85:39I don't know, hundreds of thousands probably

85:41at this point over your life, right?

85:42How many places on the surface have you visited?

85:44You're actually unusual.

85:45You might be like a world traveler or what have you, right?

85:47But still, even your physical mobility

85:50is less than your digital mobility, right?

85:52You can just essentially, I mean,

85:54the entire concept of like nations and borders and whatnot

85:57didn't exist in the hunter-gatherer era, right?

85:59Because you couldn't build permanent fortifications

86:03and whatnot, even nations as we currently think of them

86:06with like demarcated borders, you needed cartography,

86:10you needed maps, right?

86:11That stuff didn't exist for a long time.

86:13You just had sort of a fuzzy area

86:14of we kind of control this territory

86:16and these guys are on the other side of the river, okay?

86:19- I think just to--

86:20- I don't wanna digress too much, but yeah.

86:22- We're to digress away.

86:23I think entirety of life on Earth is a kind of a digression

86:28which creates beauty and complexity

86:30as part of the digression.

86:31I think your vision of the network state

86:35is really powerful and beautiful.

86:37I just wanna linger on this real name issue.

86:40- Yes, really.

86:41- Let me just give you some data.

86:42- Go ahead.

86:43- Personal, anecdotal experience data.

86:45There's a reason I only do this podcast in person.

86:49There is something lost in the digital space.

86:52- Oh, sure.

86:53- And I find, now I personally believe

86:57to play devil's advocate against the devil's advocate

87:00that I'm playing, I personally believe

87:02that this is a temporary thing.

87:03We will figure out technological solutions to this,

87:06but I do find that currently people are much more willing

87:09to be on scale cruel to each other online

87:13than they are in person.

87:14The only, the way to do that,

87:16I just visited Ukraine, went to the front.

87:18The way you can have people be cruel to each other

87:21in the physical space is through the machinery of propaganda

87:25that dehumanizes the other side, all that kind of stuff.

87:27That's really hard work to do.

87:31Online, I find just naturally at the individual scale,

87:34people somehow start to easily engage in the drug

87:39of mockery, derision, and cruelty

87:45when they can hide behind anonymity.

87:47I don't know what that says about human nature.

87:50I ultimately believe most of us want to be good

87:53and have the capacity to do a lot of good,

87:56but sometimes it's fun to be shitty,

87:58to shit on people, to be cruel.

88:00I don't know what that is.

88:01- It's weird because I think, you know,

88:03one of my sayings is just like the internet

88:06increases microeconomic leverage,

§12Transcript · 1:28:07–1:35:55

88:07the internet increases variance.

88:09For anything that exists before,

88:11you have, you know, the zero and 100 versions of it.

88:15I'll give some examples, then I'll come to this.

88:16For example, you go from the 30 minute sitcom

88:19to the 30 second clip or the 30 episode Netflix binge.

88:23You go from guy working 95 to the guy who's 40 years old

88:28and has failed to launch, doesn't have a job or anything,

88:33and the 20 year old tech billionaire.

88:36You go from all kinds of things that were sort of Gaussian

88:40or kind of constrained in one location

88:41to kind of extreme outcomes on both sides.

88:44And applying that here,

88:47you are talking about the bad outcome,

88:49which I agree does happen where the internet,

88:51in some sense, makes people have very low empathy

88:54between others.

88:55But it also is the other extent

88:56where people find their mental soulmates across the world.

89:01Someone who's living in Thailand or in, you know,

89:04like Latin America who thinks all the same stuff,

89:07just like them.

89:08Wow, you'd never met this person before, right?

89:11You get to know them online, you meet a person

89:13it's like, you know, the brains have been communicating

89:16for two years, three years, you've been friends

89:18and you see them in person and it's just great, right?

89:20So it's actually, it's not just the total lack of empathy.

89:24It is frankly, far more empathy than you would be able

89:28to build usually with an in-person conversation

89:31in the 80s or the 90s with someone on their side of the world

89:34'cause you might not even be able to get a visa

89:35to go to their country or not even know they existed.

89:37How would you be able to find each other

89:39and so on and so forth, right?

89:40So it is kind of both.

89:41It is tearing society apart

89:43and it's putting it back together, both at the same time.

89:46- My main concern is this.

89:47What I see is that young people are for some reason

89:52more willing to engage in the drug of cruelty online

89:56under the veil of anonymity.

89:59- That's what you're seeing publicly

90:00but you're not seeing the private chats.

90:02Like there's, it's kind of, it's a, you know,

90:05the sensory distribution. - Well, I work

90:06for the intelligence agency so I'm seeing the private chats.

90:09I mean, I'm collecting all of your data.

90:11Yeah, yes, but you can intuit stuff

90:15and I don't think I'm being very selective.

90:17I mean, if you just look at the young folks,

90:21I mean, I am very concerned about

90:24the intellectual psychological growth

90:30of young men and women. - I agree.

90:31So I'm not disagreeing with you on this.

90:34I am saying, however, there is a positive there

90:36that once we see it, we can try to amplify that.

90:39- Yes, with technology. - Yes, that's right.

90:41And I'm just saying the very, very basic technology.

90:44I give stuff I caught up over the weekend kind of thing.

90:47I think if I throw an anonymity on top of that,

90:51it will lead to many bad outcomes for young people.

90:55- Anonymity, yes.

90:56Pseudonymity, maybe not.

90:57'Cause Reddit is actually fairly polite, right?

90:59- The entirety of Reddit just chuckled as you said that.

91:03- Well, within a subreddit, it's actually fairly polite.

91:06Like let's say you're not usually seeing,

91:09it depends on which subreddit, of course.

91:10- There's a consistency.

91:12I think definition of politeness is interesting here

91:17because it's polite within the culture of that subreddit.

91:21- Yes, they abide by, let me put it a different way.

91:22They abide by the social norms of that subreddit.

91:24- And that's the definition of politeness.

91:27- Yeah, or civility, is that right?

91:29- So there is an interesting difference

91:30between pseudonymous and anonymous, you're saying.

91:33It's possible that pseudonymity,

91:38you can actually avoid some of the negative aspects.

91:41- Absolutely, we're re-Dunbarizing the world in some ways.

91:45With China being the big exception or outlier.

91:47You know, the Dunbar number, 150 people.

91:49If you know, that's like roughly

91:51the scale of your society, right?

91:52Or that's the number of people that a human

91:56can kind of keep in their brain.

91:58Whether apocryphal or not,

91:59I think it's probably roughly true.

92:01And we're re-Dunbarizing the world because,

92:07A, we're making small groups much more productive,

92:10and B, we're making large groups much more fractious.

92:13Right?

92:14So you have an individual like Notch,

92:16who can program Minecraft by himself.

92:18Or Satoshi, who could do V1 of Bitcoin by himself.

92:20Or Instagram, which is just like 10 people,

92:23or WhatsApp is just like 50 people when they sold.

92:25But on the other hand, you have huge, quote,

92:27countries of hundreds of millions of people

92:30that are just finding that the first and second principle,

92:32or they're just splitting on principle components.

92:36Scott Alexander thinks of them as scissor statements.

92:38You know, statements that one group thinks is obviously true,

92:41one group thinks is obviously false.

92:43You can think of them as political polarization.

92:45You think of it in terms of game theory.

92:46There's lots of different reasons you can give

92:47for why this happens.

92:49But those large groups now are getting split.

92:52And so you have both the unsustainability

92:56of these large sort of artificial groups,

92:58and the productivity of these small organic ones.

93:01And so that is kind of, it's like sort of obvious,

93:03that's the direction of civilizational rebirth.

93:05We just need to kind of lean into that.

93:07- Scissor statements.

93:08There's so many beautiful, just like,

93:11you know, we mentioned chocolates,

93:13right, advertising themselves.

93:15Your entirety of speech is an intellectual

93:18like box of chocolates.

93:20But okay, so I don't think we finished

93:23defining the network state.

93:25Let's like linger on the definition.

93:27You gave the one sentence statement,

93:29which I think essentially encapsulated

93:32the online nature of it.

93:33I forget what else.

93:35Can we just try to bring more richness

93:40to this definition of how you think about the network state?

93:43- Absolutely.

93:43So that informal sentence is,

93:45"A network state is a highly aligned online community

93:48with a capacity for collective action

93:50that crowdfunds territory around the world

93:52and eventually gains diplomatic recognition

93:54from preexisting states."

93:55So we talked about was the alignment of online communities

93:58and the capacity for collective action.

94:00Well, one collective action,

94:02it could be a thousand people liking a tweet, right?

94:04If you can get a thousand of a thousand people doing it.

94:06But a much higher level, much higher bar

94:09is a thousand people crowdfunding territory

94:11and actually living together.

94:12Just like people currently--

94:13- In physical space.

94:14- In physical space.

94:15And not all in one place.

94:16That's critical.

94:17Just like Bitcoin is a decentralized currency,

94:20the network state is a recipe

94:21for a decentralized state-like entity, okay?

94:23Where it starts with, you know, for example,

94:27two people just get, you know, they become roommates.

94:29They meet in this community, they become roommates.

94:31Okay, they get a place together.

94:33Or 10 people get a group house.

94:35Or eventually a hundred people

94:36just buy a small apartment building together.

94:38And guess what?

94:39They start getting equity and not just paying rent, okay?

94:41These are all people who share their values.

94:43And now they can crowdfund territory together.

94:46Now, of course, they don't just jump straight

94:47from a thousand people liking something

94:50to a thousand people crowdfunding something.

94:51What I described in the middle is you do a lot of meetups.

94:54You get to know these other people

94:55before you decide to live, you know,

94:57collectively with them.

94:58But once you live with them,

94:59you start to get a network effect.

95:01For example, if those hundred people want to learn Spanish

95:06or Turkish or Vietnamese,

95:09they could all have a building

95:10where they're doing Vietnamese immersion, right?

95:13And that's something which they get a benefit

95:16from being physically around the other people

95:17that the pure digital wouldn't give them

95:19to quite the same extent, right?

95:20And so crowdfunds territory around the world,

95:24crucially, not just one place,

95:25they're all connected by the internet.

95:27Just like Hawaii is 2000 miles away

95:29from the continental US,

95:30but both sides think of them as American,

95:33but the people on Hawaii

95:33and people in the continental US.

95:35- What's the role of having to have territory?

95:38- Why? - If most of the exchange,

95:40so presumably as technology gets better and better,

95:42the communication, the intimacy,

95:44the exchange of ideas all happens in a digital world.

95:48What's the importance of being able to crowdfund territory?

95:50- Well, because we're still physical creatures.

95:52You can't reproduce yet digitally, right?

95:55There's still lots of things.

95:55- So it's all about sex.

§13Transcript · 1:35:57–1:42:51

95:57- Well, that's gotta be part of it.

95:58You're gonna wanna, you know, reproduce, right?

95:59- Are we talking about a cult?

96:01- Well, it's not a cult.

96:01(laughs)

96:02It's not a cult.

96:03- Why can't you just like take a trip?

96:04Why is it not a cult?

96:05- It's not a cult because a cult is very internally focused

96:09and it tries to close its members off from the outside world.

96:13This is much more how America itself was populated,

96:15where there were lots of towns,

96:16like Penn is named after William Penn,

96:18or the founder of Texas, like Sam Houston, right?

96:20Lots of towns like the Oneida Commune

96:22in Northern New York, they recruited

96:25and they became a town

96:26and they became actually the Oneida Glassware Company,

96:29kind of, you know, makes glassware out of it.

96:32All of these communities that were opt-in,

96:33voluntary communities were not simply like cults

96:37that were closed off from the world.

96:38They were meant to set an example to the world

96:39of what virtuous living looked like

96:40and they were trying to recruit from the rest of the world

96:42and they were exporting goods to the rest of the world, right?

96:44So it is, yes, reproduction, it's, you know,

96:48marriage and kids and so on,

96:49but it's also just hanging out

96:51and it is just, the physical world is very high bandwidth.

96:54There's lots of stuff, you know,

96:55it's fun to just go and have a dinner in person,

96:57just to hang out, to build things.

96:58Moreover, there's also lots of innovation

97:00that can only take place in the physical world.

97:03You know, look, I'm, you know,

97:04one of my sayings in the book is,

97:05"Cloud first, land last, but not land never."

97:09Okay? - Right.

97:09- In many ways, one of the problems the book solves

97:13is Thiel's problem of, you know,

97:15we have innovation in bits, but not in atoms, right?

97:17We can build a billion dollar company online,

97:20but we need a billion permits

97:21to build a shed in San Francisco, right?

97:23How do you reconcile that?

97:25Well, what is stopping the innovation in atoms?

97:28It is a thicket of regulations.

97:30What are those regulations?

97:31Ultimately, a social construction.

97:33If you lean into the, you know,

97:35whole deconstructionist, you know, school of thinking,

97:39you can deconstruct and then reconstruct the state itself,

97:42given sufficient social consensus online, okay?

97:45If the population of Nevada had 100% consensus,

97:48you could just dissolve every law in Nevada,

97:50in theory, and then build new ones, okay?

97:53So the online consensus of getting people

97:55to agree on something is upstream of what happens offline.

97:58So once you have consensus in bits,

98:01the human consensus, also, you know,

98:03cryptographic consensus, cryptocurrency consensus,

98:06then you can reshape the world of atoms.

98:08The reason we can't reshape the world of atoms right now

98:10is because you don't have that consensus of minds, okay?

98:13For example, in SF, anything you do,

98:16there's gonna be 50% of people who are against you.

98:18Like, so that's just a recipe for gridlock.

98:21Whereas if you have a bare piece of land

98:24that everybody agrees on, you can get, you know,

98:2670,000 units get set up in Burning Man in just a few days.

98:28Okay?

98:29That's the power of what,

98:31when you actually have human consensus.

98:33And one way I talk about this,

98:34also in the book a little bit,

98:35and this I'm gonna go much more into detail in the V2,

98:38I think of this as 100% democracy,

98:41as opposed to 51% democracy.

98:4351% democracy, which is the current form of government,

98:46is 49% dictatorship.

98:48Because the entire premise of democracy

98:50is about the consent of the governed, right?

98:52That's the actual legitimating underpinning principle.

98:54And insofar as 49% did not consent

98:59to the current, you know,

99:01president or prime minister or whatever,

99:04let's say presidential system first past the post, okay?

99:08Insofar as 49% did not consent,

99:10or in a prime minister system,

99:12it could be like 60% or more didn't consent

99:14to the current leader,

99:16those folks are having something imposed on them

99:18that they literally did not vote for.

99:20Moreover, campaign promises are non-binding.

99:22So whatever they voted for,

99:24they can effectively be defrauded.

99:26You know, the actual voter fraud

99:27is when a politician promises X, but does not do it.

99:31It's as if you bought a can of orange juice

99:33and it actually drinking its milk, or it's nothing, right?

99:36So all of that is routinized, all of that is accepted.

99:38We have this thing, which is just the minimum possible

99:41amount of democracy, a 51%, okay?

99:44And what happens is then that 51% tries to ram something

99:47down the 49% throat, and then the next election,

99:50it's now 51, 49 the other way, and then they ram it back.

99:53And that's how you get the seesaw

99:55that is just splitting countries apart, right?

99:58The alternative to that is you build a consensus online,

100:01you go and get some God-forsaken patch of territory.

100:03Actually, the worse the territory, the better.

100:06Why?

100:06Because it's like Burning Man, nobody cares, right?

100:09The nicer the piece of land,

100:10the more the people are gonna argue about it.

100:12But Starlink has repriced the world.

100:14Basically all kinds of piece of territory

100:16that were previously, they're far away from natural ports,

100:21they're far away from natural resources,

100:23all kinds of piece of territory around the world

100:24now have satellite internet.

100:27And so what you can do is, again,

100:28the map has been reopened, right?

100:30What we were talking about earlier,

100:30the map has been reopened,

100:31you can gather your community online,

100:33they're now capable of collective action,

100:35you can point here, this place has great Starlink coverage,

100:38you go there like the Verizon guy,

100:41can you hear me now?

100:42Good, right?

100:42You see that the coverage is good there,

100:44you drive out there, you test it out.

100:45Maybe you do it with mobile homes first, right?

100:48This by the way is its own thing.

100:50There's Yimby and there's Nimby and there's Yimby,

100:52but I actually also like Himby, okay?

100:55Do you want that?

100:55- Let's go, Nimby, Yimby, Himby, what are those?

100:58- So Nimby is not in my backyard, don't build in cities.

101:01Yimby is let's build high density buildings,

101:04really tall buildings and so on in cities.

101:06There's a third version, which is Himby,

101:09it's my little coinage, which is horizontal sprawl is good.

101:12Why horizontal sprawl?

101:13Because to build a skyscraper,

101:14to build a tall building in a city,

101:16you have this enormous permitting process,

101:19all of this stuff, which has to get done,

101:21it's expensive, it's time consuming.

101:22The way that cities were built,

101:23if you go back to the V1,

101:24what does the startup city look like?

101:26It looks like something like Burning Man,

101:28it looks like the cities of the Wild West.

101:30They were not multi-story buildings, right?

101:33They were basically things that were just like one story

101:35and someone could have it there in the dust

101:38and then you build roads and stuff between them

101:39and they can move them around.

101:40It was a much more dynamic geography.

101:42And so when you have that as a vision

101:44of what a startup city looks like, right?

101:46Now you've got something,

101:47there's a company I found called Kift,

101:49which is like van life.

101:50There's a lot of stuff in construction

101:52that makes this feasible.

101:54There's so-called man camps for fracking,

101:57where people can just do like,

101:59companies like Agreco, they have private power,

102:01you can bring water, all this stuff on site.

102:03So it's easy to actually snap this stuff to grid,

102:05relatively speaking, if you've got horizontal space,

102:08you pick this space, you crowd from the territory,

102:09now you've got a city.

102:10Okay, and the last bit is,

102:12eventually gains diplomatic recognition

102:13from pre-existing states.

102:15And this is the part that people,

102:17different people will be with me up to this point

102:19and then they'll say, okay,

102:20that's a part I disagree with

102:21or how are you gonna ever do that, right?

102:23They'll say, yeah, you can build an online community.

102:25I believe you can get them to do collective action.

102:27Of course, people have crowdfunded land

102:29and moving together and doing it a larger scale.

102:31All that I believe,

102:32how are you possibly ever gonna gain

102:34diplomatic recognition from pre-existing states?

102:35You dumb delusional tech bro, right?

102:37That's a common thing.

102:38Okay, that's about the tone of it as well, right?

102:42And so first I would say,

102:44sovereigns are already out for business.

102:46They're inking deals, okay?

102:48Nevada inked a deal with Tesla to build the Geiger factory.

102:51El Salvador has Bitcoin as its national currency.

§14Transcript · 1:42:54–1:50:23

102:54Wyoming has done the Dow law

102:56where Ethereum is now recognized,

102:58where you can have on-chain incorporations

103:00that are recognized by Wyoming law.

103:01Virginia and New York negotiated with Amazon for HQ2.

103:06Tuvalu signed a deal with GoDaddy for the .tv domain.

103:09Columbia signed a deal for the .co domain

103:12and on and on and on.

103:13Sovereigns are open for business.

103:15Sovereigns are doing deals with companies

103:18and with currencies.

103:19Sovereigns at the level of cities like Miami or New York

103:23where the mayors are accepting their salary in Bitcoin.

103:26States like Wyoming or Nevada

103:29has its new private cities legislation

103:31or entire countries like El Salvador.

103:34So-

103:35When you say sovereigns, by the way,

103:36you mean the old school-

103:37Governments.

103:38Physical nation states, governments.

103:40Fiat states.

103:42Fiat states.

103:43Okay.

103:44But the fiat isn't the thing that makes a state.

103:47What makes a state is geographical location.

103:50It is something where, they're both, right?

103:53So basically it's a play on words.

103:55So just like fiat currency is cryptocurrency,

103:57we will have fiat country and crypto country, right?

104:01And in fact, you can think of the fiat

104:03and crypto version of almost anything.

104:05One thing I'll come to later is a big thing.

104:08The big thing I think comes

104:09after digital currency is digital passports.

104:12Mm-hmm.

104:12Okay.

104:13So, and that's a big part of this whole network thing

104:15which we'll come back to.

104:16But, so that last bit,

104:19the reason I just mentioned all those deals

104:20between sovereigns, whether at the city,

104:24US state or UN listed country level, okay.

104:28And on the other hand, so that's on one side of the market.

104:30On the other side are the companies and the currencies.

104:35Why could we not have online communities, right?

104:37So let me--

104:38Making those deals, signing those deals.

104:39So diplomatic recognition,

104:42but aren't you still attached to the responsibilities

104:47that come from being a member of a sovereign,

104:54old school nation state?

104:57So--

104:58Can you possibly escape that?

105:00So yes, and let me give you a concrete example.

105:02Israel, okay, why?

105:05You know, people talk about,

105:07a lot of people are like, "Oh, Bolles,

105:08he just, he took this from Snow Crash

105:09or some sci-fi book they'll reference."

105:11Right, actually, if,

105:13there's many different references to the book.

105:15This is not the only reference.

105:16But a very important reference

105:18that I think is much more important to me than Snow Crash,

105:20which is good, a good book, whatever, but it's fictional,

105:24is "Der Judenstaat" by Theodor Herzl,

105:26which translates as "The Jewish State."

105:28And that led to the foundation of Israel.

105:29And that's very real.

105:30It's worth reading because it's amazing.

105:32Theodor Herzl was like a tech founder, okay?

105:35In the book, he was writing

105:36about the death of distance in 1897.

105:38Why?

105:39Because steamships could take you across countries, okay?

105:43And he like, he's just, you know,

105:46amazingly smart and practical guy,

105:49where he just handled all these various objections.

105:51And he said, "Look, you know, the Jewish people,

105:54you know, our choices are either A,

105:56assimilate and give up the culture,

105:57or B, some people are thinking communism's a good idea.

106:00I disagree with that.

106:00We should do C, build our own country, right?"

106:03And that was considered totally crazy.

106:05But what he did was he A, wrote a book,

106:07B, started a fund,

106:09C, organized a semiannual conference,

106:11the, you know, World Zionist Congress,

106:13and the fund and the Congress are still going today.

106:15Crucially, there were a bunch of intermediate stages

106:18between the book and the idea,

106:20and then the actual state of Israel in 1947.

106:24For example, the, you know,

106:26the folks who were committed Zionists got together

106:28and started crowdfunding territory

106:30in what is now Palestine.

106:31And in fact, though, Palestine was only one choice.

106:34In the book, they also had Argentina as a choice.

106:36So this is my concept, cloud first, land last,

106:39and the land's a parameter, you can choose, right?

106:41Other places that were considered at various points,

106:43like Madagascar, Birobidzin in the former Soviet Union,

106:46right?

106:46So the land was a parameter.

106:47Palestine went out because of its, you know,

106:49historical and religious importance.

106:51Now, by the way, one thing,

106:52I'm sure there's some, like, some fraction of viewers

106:54are gonna be like, "Oh my God,

106:55like all the bad stuff that happened."

106:57I'm obviously not denying

106:58that there's enormous amounts of controversy and so on

107:00that attends Israel.

107:01I consider myself generally pro-Israeli.

107:03I'd also consider myself pro-Palestinian.

107:05I fund lots of Palestinians and so forth.

107:07So I'm leaving that part out, that huge conflict,

107:09or, you know, for now, okay?

107:11And you might say that's airbrushing it.

107:13I don't mean it to do that.

107:14I'm saying, here is the positive things they did.

107:17Can we take the positive and not have the negative?

107:20And I'll come back to how we might swap those parts out.

107:22But let me just talk about this a little bit more.

107:24So one of the things that happened was

107:26committed Zionists went and crowdfunded territory

107:29in what is now Israel, and they knit it together, right?

107:32Why?

107:33Because when you're physically present on territory,

107:35yes, in theory, like the British Empire was in control.

107:39They were the sovereign, okay?

107:41In practice, who were the boots on the ground,

107:43the facts on the ground, right?

107:45These are the people who are actually tilling the land

107:47and building the buildings and so on and so forth.

107:49Like, who had the claim there

107:51is like the people who are present, okay?

107:52Now, this territory, this network of territories

107:57eventually became the basis for,

108:00or part of the basis for what became Israel.

108:02Now, I'm fully aware that the exact configuration

108:06of what territory belongs to Israel,

108:07what territory belongs to Palestinians,

108:09this is an enormous topic of dispute, okay?

108:11But I just point this out to say

108:13the process of going from book to crowdfunding territory

108:16to a sovereign state where people

108:18were now citizens of Israel,

108:19as opposed to the British Empire,

108:21is not some fictional thing, but did happen,

108:24and within the lifetimes of some of the older,

108:26you know, they're in their 80s now,

108:28but in the lifetimes of some older people, okay?

108:31So it's not impossible.

108:32In fact, it has happened, right?

108:34- But for that step, perhaps, hopefully,

108:37is a better example, because in this particular,

108:41like you said, land last, if I were to say,

108:45if I was an alien and arrived at Earth

108:48and say, choice of land, maybe if you were interested

108:53in choosing a land that represents a network state

108:58where ideas that unites a people based on ideas,

109:03maybe pick a land that doesn't lead

109:06to generational conflict and war.

109:09- Yes, so I'll get to that point.

109:10- And destruction and suffering and all that.

109:13- All the stuff, that's right.

109:14So now that I've said what are the positive things

109:18about Israel, and I think there's a lot to admire

109:19in Israel, as I said, I think there's also a lot

109:21to admire in the Palestinians and so on.

109:23I'm not taking any position on that.

109:25There's other inspirations for the network state.

109:27The second major inspiration is India,

109:30which managed to achieve independence nonviolently, right?

109:34That's very important, right?

109:35So can you fuse these things, right?

109:37A state started with a book

109:39that achieved independence nonviolently, okay?

109:42And that managed to build this polyglot,

109:44you know, multicultural democracy, right?

109:47That does, you know, like, you know,

109:50India has its flaws, but it does manage to have,

109:53you know, human rights of lots of people respected

109:54and what have you, right?

109:56And has managed to, you know,

109:59there were times like emergency in the 1970s

110:01in the Aragondi declared emergency.

110:02There were times when it seemed touch and go,

110:05but overall with fits and starts,

110:06this flawed thing has kind of made its way through.

110:09And, you know, the third inspiration is Singapore

110:12with Lee Kuan Yew, who built a city state from nothing.

110:17You know, I shouldn't say from nothing.

110:18Okay, there was something there,

110:19but let's say built one of the richest countries

110:21in the world without like huge amounts

110:23of natural resources in the middle of a zone

§15Transcript · 1:50:26–1:58:23

110:26where there was lots of communist revolution going on.

110:29And so he was the CEO founder essentially

110:32of this amazing startup country, right?

110:35And, you know, finally, of course, America,

110:37which has too many influences to name

110:40things we talked about, the nation of immigrants,

110:42obviously the constitution and so on.

110:44And you think, okay, can we go,

110:46you think of these inspirations.

110:48What's interesting about these four countries, by the way,

110:50Israel, India, Singapore, and the US,

110:53they have something in common.

110:53You know what that is?

110:54- What is that?

110:55- They're all forks of the UK code base.

110:57We think obviously, you know,

111:00the UK was sort of the ancestor of America,

111:02but Israel was a former British colony, right?

111:06India was a British colony and so was Singapore, right?

111:08- For people who don't know what fork and code base means,

111:12it's a language from versioning systems,

111:15particularly Git, represented online

111:18on a website called GitHub.

111:20And a fork means you copy the code

111:23and all the changes you make to the code

111:26now live in their own little world.

111:28So America took the ideas that define the United Kingdom

111:31and then forked it by evolving those ideas

111:36in a way that didn't affect the original country.

111:39- That's right.

111:40And what's interesting about this is,

111:41and of course I'm saying that

111:42in a somewhat playful way, right?

111:44But I think it's a useful analogy, interesting analogy.

111:46So you have the Americans who forked the UK code base,

111:50and then you have the Indians, Israelis,

111:53and the Singaporeans who also made their own modifications.

111:56And in some ways, each society has pieces

111:59that you can take from them and learn from them

112:01and try to combine them, right?

112:03So you have a state that is started by a book

112:07that non-violently assembles,

112:11that crowdfunds territory around the world,

112:13that is led by a CEO founder,

112:16and that is also governed by something

112:20that's like a constitution.

112:21But just like you went from,

112:23you know, I talk about the V1, V2, and V3 a lot, right?

112:25Like V1 is gold and V2 is fiat and V3 is Bitcoin, right?

112:29Or V1 is hunter-gatherer and V2 is farmer-soldier,

112:32V3 is digital nomad or sovereign collective, okay?

112:35Which is not just an individual, but a group.

112:37Here, V1 is UK common law.

112:40They don't have a constitution.

112:41It's all precedent going for many years, right?

112:43V2 is the US constitution and V3 is the smart contract,

112:47the social smart contract, which is a fusion, obviously,

112:50of Rousseau's concept of the social contract

112:52and the smart contract.

112:53The social smart contract is like written in code, okay?

112:56So it's like even more rigorous than the constitution.

112:59And in many ways, you can think of going

113:01from the United Kingdom of England, Wales,

113:06you know, Scotland, Northern Ireland,

113:07the United States of America,

113:08the network states of the internet, okay?

113:11Where you go from the rights of Englishmen

113:13with the Magna Carta to Europeans, African-Americans,

113:17all the immigrants to the Americans or the North America,

113:22then you go to all the people of the world.

113:24And so you basically are more democratic

113:28and you're more capitalist

113:30because you're talking about internet capitalism,

113:31not just nation-state-locked capitalism.

113:33In a sense, it's the V3, right?

113:35In other ways, the V3, only about 2% of the world

113:39is over 35, native-born American,

113:43can qualify to be president of the United States.

113:46But 100% of the world,

113:47you could become the president of a network state.

113:49There might be a, you know, a Palestinian Washington

113:52or a, you know, Brazilian Hamilton, right?

113:56And now, rather than say, okay,

113:58maybe you have a small percentage chance

114:01of immigrating to the US

114:02and a small percentage chance of your descendant,

114:03you know, becoming like, you know, president,

114:06now we can just say, you can start online.

114:08And you know what?

114:09Maybe this person is so exceptional,

114:10they have Americans coming to their,

114:12you know, network state, right?

114:14- You don't think that kind of thing is possible

114:15with like the rich get richer in a digital space too,

114:20that people with more followers

114:21have friends that have followers and they like-

114:25- I don't think it's the rich get richer.

114:26I think what happens is,

114:27so this is an important concept.

114:30It is, it's multi-axis, right?

114:32That is to say, for example,

114:35just the introduction of the Bitcoin axis, right?

114:38And those, 'cause it didn't exist pre-2009, now it exists.

114:43Those people who are rich in BTC terms

114:47are only partially correlated

114:48with those who are rich in USD terms.

114:50There's all these folks, essentially-

114:52- BTC is Bitcoin and USD is US dollar.

114:55- Yes. (laughs)

114:56So that's a new axis.

114:58And ETH is yet another axis, right?

114:59You- - Ethereum.

115:00ETH is Ethereum.

115:01- Right.

115:02So you are essentially getting new social systems

115:07which are actually net inequality decreasing

115:10because before you only had USD millionaires

115:12and now you have a new track

115:14and then another track and another track, right?

115:16You have different hierarchies, different ladders, right?

115:19And so on net, you have more ladders to climb.

115:24And so it's not the rich getting richer.

115:25In fact, old money in some ways

115:27is a last to cryptocurrency.

115:28Old money and old states, I think,

115:31those people who are the most focused on,

115:33you might call it reform, I would call it control, okay?

115:36The most focused on control of the old world

115:38who have the least incentive to switch,

115:40the rich will get poorer

115:44because it will be the poor

115:46or those who are politically powerless,

115:48politically poor, who go and seek out these new states.

115:50- Yeah, I didn't mean in the actual money, but yes, okay.

115:53There's other ladders.

115:54I meant in terms of influence,

115:56political and social influence

115:58in these new network states.

116:01You, I think, said that basically anybody

116:04can become president of a network state.

116:06- Just like anybody can become CEO of a startup company.

116:08Of course, whether people follow you is another matter,

116:10but anybody can go and found one.

116:12Go ahead, sorry.

116:13- Oh, from the perspective that anyone can found one.

116:16Anyone could found, I see.

116:18- We don't think it's implausible

116:20that somebody from Brazil or Nigeria,

116:22I mean, most quote billionaires in the world

116:25are not American.

116:26And in fact, actually, here's another important point.

116:28It's far easier to become a tech billionaire

116:31than become, or a billionaire period,

116:32than become president of the United States.

116:34There's less than 50 US presidents ever, all time, okay?

116:38It is a much more realistic ambition

116:40to become a billionaire than become president.

116:43There's like thousands of billionaires worldwide.

116:44In fact, 75% of them are outside of the US.

116:47And many of those have been,

116:48some of them are like energy and oil,

116:51which is often based on political connections,

116:53but a very large chunk of the rest are tech, okay?

116:56And that's something where you're mining,

116:58but you're mining online by hitting keys

117:00as opposed to with a pickaxe, you know, in granite, right?

117:03So the point is that we think it's

117:05totally understandable today for there to be a, you know,

117:10huge founder who comes out of Vietnam or, you know,

117:14South America, like that,

117:15like you can name founders from all over the world, right?

117:18Exceptional people can rise from all the world

117:20to run giant companies.

117:21Why can they not rise to run giant new countries?

117:24And the answer is we didn't develop the mechanism yet,

117:26right?

117:27And just as another example, I talk about this in the book,

117:30Vitalik Buterin is far more qualified than Jerome Powell,

117:35right, or anybody at the Federal Reserve.

117:36He actually built and managed a monetary policy

117:40and a currency from scratch, okay, as a 20-something, right?

117:45Obviously that's a more accomplished person

117:48than somebody who just inherited an economy.

117:50This is a- - A lot of people

117:51can push back at that and say that the people

117:54that initially build a thing aren't necessarily

117:57the best ones to manage a thing once it scales

117:59and actually has impact.

118:00- Sometimes, sometimes, but Dzuk has done a good job

118:03of both, I think Vitalik has done a good job of both, right?

118:05- But that's not an inherent truth.

118:07- Well, so actually I have- - If you built the thing,

118:09you will be the best person to run it.

118:11- I will agree with you on that,

118:12and actually I talk about this in the book,

118:14or I've got an essay on this called

118:16Founding vs. Inheriting, okay?

118:18And the premise is actually that, the classic example,

118:21you know the saying, "Shirt sleeves to shirt sleeves

118:23"in three generations."

§16Transcript · 1:58:24–2:05:14

118:24It means the guy who starts out poor and builds a fortune,

118:28his son maintains it,

118:30and his dissipate grandson dissipates it, right?

118:34- Why is shirt sleeves a symbol of poverty?

118:37- Back in the past, it was kind of like,

118:39you know, you're just working with your,

118:40you're not white collar,

118:42you're back to working with your hands,

118:43you're just- - Oh, so it's a blue collar

118:44to blue collar in three generations.

118:45- Yeah, yeah, or working class or something like that, right?

118:48So essentially that the grandson squanders it, right?

118:52And, you know, in sense, by the way,

118:54just to talk about that for a second,

118:56if you have two children and four grandchildren

118:59and eight great-grandchildren and 16 and so on,

119:01and in older families, you know, they were much bigger,

119:04right, six, you know, children is not uncommon.

119:06Whatever fortune you have is now split six ways,

119:09and then six ways and six ways again.

119:10So with the exception of premature,

119:13where the oldest son inherits all the way down,

119:15the majority of descendants just a few generations out

119:17have probably inherited none of that fortune,

119:19unless it has compounded to such an extent

119:21that it's like up six X over 20 years, right?

119:25So it's actually hard to maintain a quote ruling class

119:28in the sense that this person

119:30who's like four generations down has, you know,

119:34like 1/16 of the DNA, you know,

119:37one over two to the fourth, right,

119:39of their scion who built a fortune.

119:42So it's not even like the same,

119:43is it the same family even, right?

119:45Is the fortune actually in the family?

119:46So most people don't think a few generations out,

119:49they just kind of think, oh, Marx is right,

119:50there's always been a rich and a poor.

119:51It's actually much more dynamic than that,

119:53'cause you literally, like, what is even the family

119:55when it's diluted out, you know, 1/16, right?

119:58If you're 1/16 of Rockefeller, are you a Rockefeller?

120:01Really like 15, 16, something else,

120:03would you have the Rockefeller fortune?

120:04Probably not, right?

120:05Now, are there, again, premature,

120:07where the guy who inherits the name all the way through,

120:10that would be one way to pass it down.

120:13But even that person doesn't necessarily have the qualities

120:15of the guy who, you know, the cultural qualities,

120:17other qualities of the guy who's like four generations past,

120:19so they tend to squander it, right?

120:21So this actually brings us to,

120:23you know, coming back up to governance,

120:25the system, the guys who built the United States,

120:27you know, like Washington and Hamilton,

120:30these are giants, right?

120:31These are founders.

120:32And the folks today are like, not the grandson,

120:37but like the 40th generation heir of a factory

120:41that somebody else built.

120:42Like, think about a factory and you have, you know,

120:44this grandchild or great-grandchild inherits a factory.

120:47Most of the time, it's just cranking out widgets

120:49and the great-grandson is cashing checks.

120:51They have been selected as legitimate heir

120:54because it's the, you know, the founder,

120:57passes it down to his son, passes it down to his grandson,

120:59to his great-grandson.

121:00So legitimacy is there.

121:01They've got title, they can show, I own this factory, okay?

121:04They can cash the checks.

121:05There's professional managers there.

121:06Everything seems fine.

121:08Until one day, that factory has to go from making,

121:12you know, widgets to making masks for COVID

121:14or something else.

121:15It has to change direction.

121:15It has to do something it hasn't done before.

121:17None of that capability for invention and reinvention

121:21is present anymore.

121:22These people have inherited something

121:24that they could not build from scratch.

121:26Because they could not build from scratch,

121:27they can't even maintain it.

121:28This is an important point.

121:29The ability to build from scratch is so important

121:31because if some part breaks

121:34and you don't know why it was there,

121:35can you even maintain it?

121:37No, you can't, okay?

121:38Unless all the replacement parts

121:41and the know-how to fit them together is there,

121:42you can't repair this.

121:43So in 2009, Mother Jones had a story

121:45that said that the US military had forgotten

121:47how to make some kinds of nuclear weapons

121:49'cause there was a part where all the guys

121:51who knew how to make it had aged out or left.

121:54Okay?

121:55And this was some aero gel or something like that.

121:57It was rumored, okay?

121:58Thing is, you're seeing increasingly, for example,

122:02you've got wildfires in California.

122:05You've got water that's not potable in Jackson.

122:08You've got power outages in Texas.

122:12You're seeing a lot of the infrastructure of the US

122:15is just less functional.

122:17I think probably part of that is due to civil engineering

122:19not being that sexy a field, people aging out,

122:23and just domain knowledge being lost,

122:26and the heirs who win the role of mayor

122:31or whatever of this town

122:33don't have the ability to build it from scratch.

122:34You're just selected for legitimacy, not competence, okay?

122:37So once you think about this concept

122:38of founding versus inheriting,

122:40and I've got the whole essay which talks about this,

122:42of course, the alternative to somebody

122:44who's legitimate but not competent

122:47where people will say is,

122:47"Oh, we need an authoritarian

122:49"to be in control of everything."

122:51And then their hope is that that person is competent,

122:55but they don't have legitimacy

122:56because if they're just installed

122:57as just like a authoritarian ruler,

123:0050% of the population is really mad at them.

123:01They don't have title.

123:02They just grab the title.

123:04Maybe they can exert enough force,

123:05but that's the problem with the authoritarian dictator

123:08takeover, right?

123:09So the alternative, the third version,

123:11is the founder who combines both legitimacy and competence

123:14'cause they start from scratch,

123:15and they attract people to their vision,

123:16they build it from scratch,

123:18and so you need is the ability

123:19to constantly do refoundings, rebirths.

123:21- So if you imagine a world

123:24that is primarily network states,

123:28can you help me imagine what that looks like?

123:33Now, there's several ways to imagine things,

123:36which is how many of them are there,

123:38and how often do the new ones pop up?

123:42- There could be thousands.

123:43- Given seven billion people,

123:45eight billion people on Earth.

123:46- Yeah, yeah, so there's network state

123:48in the precise definition I have in the book,

123:51which is a diplomatically recognized entity,

123:53and there's network state in sort of the loose definition

123:55where, you know, one thing that's interesting is

123:57this term has become a lowercase term really fast, okay?

124:00- Network state.

124:01- Yeah, like in the sense of Google

124:03became lowercase Google for like Googling,

124:05or like Uber became lowercase Uber.

124:07Like if you go to the networkstate.com/reviews,

124:10or you go to search.twitter.com and put in network state,

124:13you'll see it's just become like a word or a phrase, okay?

124:16So that means it's sort of, whatever I intend it to mean,

124:19people will use it to mean what they want it to mean, right?

124:21Okay. - Internet.

124:23- It's internet, right?

124:23- I think internet.

124:24You've become a meme.

124:25Well, first of all, you're a meme, and this book is a meme.

124:27- Am I a meme?

124:28Okay, maybe I'm a meme.

124:28But the book is, the book I think is a good meme.

124:30That's actually why I wanted to make it free.

124:31I wanted people to take it out there and make it their own.

124:34And one of the things I say at the beginning,

124:35and I'll come back to this thing,

124:36is it's a toolbox, not a manifesto.

124:39Even if you dislike 70% of it, 80% of it, 90% of it,

124:43if there's something that's useful to you,

124:44you can take that and use it, just like a library,

124:47you know, a software library.

124:48You might just use one function there.

124:49Great, I'm glad I've delivered you some value, right?

124:51That's my purpose in this, right?

124:52- So you're not Ayn Rand?

124:53- No, I'm not Ayn Rand.

124:54Basically, the whole point of this actually is

124:57it's polytheistic, polystatistic, polymystic,

125:02is genuinely--

125:03- Is it polyamorous?

125:04- It's not polyamorous.

125:05- Okay.

125:06- Though somebody might want--

125:07- Do you have love advice in the book?

125:08I didn't see it.

125:09So do you talk about love in the book?

125:11- I do not talk about love.

125:13Rather--

125:13- Maybe in V2 you will.

125:14- Not that I don't believe in love.

§17Transcript · 2:05:15–2:12:31

125:15Love is great.

125:16- All right, I will accept your offer

125:17to write a guest chapter in your V2 book about love.

125:20- All right, great.

125:21- Because there is some aspect that's very interesting,

125:25which parts of human civilization require physical contact,

125:30physical, 'cause it seems like more and more

125:33can be done in a digital space.

125:35- Yeah, but as I said--

125:36- Work, for example.

125:37- But you're not gonna build a self-driving car city

125:39in digital space.

125:40You're not gonna be able to do--

125:42- Oh, I do cars at all.

125:43- Well, sure, but let's say you're not gonna be able

125:46to get to Mars in a purely digital thing.

125:49You need to build, you have to have a little rocket launchpad.

125:51You're not gonna be able to do all the innovative

125:54biomedicine, whether it's all the,

125:58have you seen bioelectricity?

125:59Or there's stuff on regenerative medicine,

126:02stem cells, all this stuff.

126:03You just can't do that digitally, right?

126:06We're still physical beings, so you need physical space,

126:09but how do we get that, right?

126:10So this is meant to wind its way

126:13through various roadblocks in the so-called,

126:15actually my term from many years ago,

126:17the idea maze, it's meant to wind its way

126:18through the idea maze to find how to use bits

126:21to unlock innovation in atoms.

126:22- The idea maze within the bigger prime number maze,

126:25or go back to visualizing the number of states

126:28and how often are they born.

126:29- So let me first anchor this,

126:31because people, just to give some numbers, right?

126:34How many UN listed countries are there?

126:36Like 196, 193, okay?

126:38And there's some that are on the border,

126:40like Taiwan or Israel, right?

126:42Where they're not, I mean, Israel is a country,

126:43but it's not recognized by every country

126:45or what have you, right?

126:45- Is Texas a country?

126:47- No, but it may eventually become, right, okay.

126:50So within that list of about 200 countries,

126:53okay, I've got a graph in the book that shows

126:54that most countries are actually small countries.

126:57About, there's 12 countries that have less

126:59than 100,000 people by the UN definition of a country.

127:02There's another 20 something that have

127:03between 100,000 and one million.

127:06There's another 50 or 60 something

127:08that have between a million and 10 million.

127:10So most countries in the UN are less than 10 million people.

127:15There's only 14 countries that are over 100 million people.

127:17Okay, so most countries are small countries

127:19is kind of surprising to us

127:21because most people live in big countries, okay?

127:24And so now you're like, okay,

127:26well, I've built social networks that are bigger than that.

127:29You have a following that's bigger than 100,000 people.

127:31You have a following that's bigger than, you know,

127:33a small country like Kiribati or what have you, right?

127:35And, okay, so that first changes feasibility.

127:38You think of a country as this huge, huge, huge thing,

127:41but it's actually smaller than many,

127:42many countries are smaller than social networks

127:44that you've built, okay, number one.

127:46Number two is the number of UN listed countries,

127:50even though it's been flat-ish for the last 30 years

127:53with like a few things like South Sudan

127:55and East Timor that have come online,

127:58there's a graph that I posted which shows

127:59that it's increased by about,

128:00from about 40 or 50 something at the end of World War II

128:05when the UN was set up to 190 something today.

128:07There's been like kind of a steady increase in particular

128:09with all the decolonization,

128:11all the countries that got their independence

128:12first from the British empire

128:14and then from the Soviet empire, right?

128:16That imperial breakup led to new countries, okay?

128:20And so then the question is, is that flat forever?

128:23Well, the number of new currencies

128:25similarly increased for a while,

128:27roughly one per country or thereabouts,

128:30and then it was flat for a while

128:31and then suddenly it's gone completely vertical.

128:33That's an interesting graph, right?

128:35Where it's like linear-ish, then it's flat,

128:38and then it just goes voof like this.

128:40Now you can define, you can argue where the boundary is

128:44for quote a new currency, okay?

128:47But I think Bitcoin certainly counts,

128:48I think Ethereum certainly counts

128:50in terms of just its scale and adoption worldwide.

128:52So at least you have two.

128:54If you take the broad church view,

128:56you have a thousand or something like that, right?

128:59Somewhere in between, you might say,

129:01how many currencies are above the market cap

129:04of an existing previously recognized fiat currency?

129:07Like which got onto the leaderboard, right?

129:09There's a website just like coinmarketcap.com.

129:12That's like a site for like cryptocurrency tracking,

129:14it's very popular, okay?

129:15There's a fun site called fiatmarketcap.com

129:18which shows where Bitcoin is relative

129:20to the fiat currencies of the world.

129:21And it's like, last I checked, like number 27,

129:23somewhere in between the Chilean peso

129:26and the Turkish lira or something, okay?

129:28And it previously been close to cracking the top 10, okay?

129:31And I think it will again at some point.

129:33So we know that you can have a currency out of nowhere

129:37that ranks with the fiat currencies of the world.

129:39Could you have a country out of nowhere

129:40that ranks with the countries of the world?

129:42So this is maybe the fastest way,

129:45you probably should have said this at the very beginning.

129:46If you go to the network state in one image, okay?

129:50That kind of summarizes what a network state looks like

129:52in a visual, just one single visual.

129:54And the visual is of a dashboard.

129:56And the dashboard shows something

129:58that looks like a social network,

129:59except you're visualizing it on the map of the world.

130:02And it's got network nodes all over the place.

130:05A hundred people here, a thousand people there,

130:06they're all connected together.

130:08The total population of the people in this social network

130:11is about 1 million people.

130:13So 1.7 million people in this example.

130:15And some of the buildings are,

130:17some of the people are just singletons.

130:19They're just folks in their apartment

130:21who can conceptualize themselves

130:22as citizens of this network state.

130:24And they've got the flag on their wall, right?

130:26And the digital passport on their phone

130:30along with the digital currency.

130:31Others are groups of hundreds or thousands

130:35or even tens of thousands of people

130:36that have all taken over a neighborhood,

130:38just like Chinatowns exist, right?

130:40Just like, you know, intentional communities existed.

130:45They just basically, you know,

130:47go and crowdfund land together, right?

130:50And these are all networked together, you know,

130:52just like the islands of Indonesia are separated by ocean.

130:56These are islands of this network state

130:57that are separated by intranet, okay?

130:59So they conceptualize themselves as something.

131:00And at the very top of the dashboard,

131:03there's something very important,

131:03which is the population annual income

131:06and real estate footprint of this network state.

131:08So the population we already discussed,

131:10you can build an online social network.

131:11We know you can build something

131:13which has a population that's bigger

131:14than these hundred thousand or million person countries.

131:18One of the new things contributions the network state has

131:21is say that you can not just exceed in population,

131:23you can exceed it in real estate footprint.

131:26Because one way of thinking about it is,

131:28I don't exactly know the numbers

131:29on foreign ownership in Estonia,

131:31but let's say to first order,

131:33the million something Estonians own

131:35and could afford Estonia, okay?

131:38A million people could buy a territory

131:40that is the size of Estonia, right?

131:42That's probably true to first order.

131:43There might be some overseas ownership,

131:44but it's probably true, okay?

131:45You probably find a country for which that is true.

131:47But that means is a million people digitally

131:50could buy distributed territory

131:53that is probably greater than or equal

131:54to the size of Estonia.

131:55Especially if they're buying like desert territory

131:57or stuff like that.

131:58Which means now you have a digital country

132:00that is ranking not just in people,

132:03not just in real estate footprint.

132:06So it's also in real estate footprint

132:08with the countries of the world.

132:09So you start ranking and you're bigger

132:11than these UN listed countries in your population

132:14and your real estate footprint.

132:15And the third is income, okay?

132:17You can prove on chain that you have a income

132:21for the digital population

132:23that is above a certain amount, right?

132:25This is what I call the census of the network state.

132:27And it's actually such a crucial component

132:29that I have it in the essay,

132:31"The Network State in a Thousand Words."

§18Transcript · 2:12:33–2:20:08

132:33The post office and census were actually important enough

132:35to be written into the US constitution, okay?

132:38Partly because it was like

132:39for apportionment of representatives,

132:41partly because it was a feedback mechanism.

132:43And so that census was done every 10 years

132:45and it's provided a crucial snapshot of the US

132:47for the last several hundred years, okay?

132:49Now here, this census of a digital state

132:52could be done every 10 seconds, okay?

132:56Conducting it is actually not the hard part.

132:57You know what the hard part is?

132:59Proving it.

133:00Because how will the world believe

133:03that you actually have 100,000 people spread

133:06across countries?

133:07Couldn't they all be bots?

133:08Couldn't they be AIs?

133:10Proof of human, proof of income,

133:12and also proof of real estate

133:14start to actually rise dramatically in importance

133:17because you're saying we're gonna rank this digital state

133:20on the leaderboard of the fiat states, okay?

133:24And so that means that people will start to,

133:26at first they'll just laugh at it.

133:27Once you start claiming you have 10,000 citizens,

133:30people are gonna start poking and be like,

133:32"Is that real?

133:32Prove that it's real."

133:33So I have a whole talk on this,

133:36actually I'm giving at this Chainlink conference,

133:38but essentially how do you prove this, right?

133:41The short answer is crypto oracles plus auditing.

133:45The somewhat longer answer is

133:47you put these assertions on chain,

133:50these proof of human,

133:52these proof of real estate, et cetera,

133:54assertions on chain, okay?

133:55And there's people who are writing to the blockchain

133:58and they are digitally signing their assertions.

134:01Now, of course, simply just putting something on chain

134:03doesn't make it true.

134:03It just says you can prove not that

134:06what is written on chain is true,

134:07but that the metadata is true.

134:08You can show who wrote it via their digital signature,

134:12what they wrote, their hash,

134:13and when they wrote it, their timestamp.

134:15So you can establish those things in metadata

134:17of who, what, and when was written.

134:18Who's the who in that picture?

134:20So for example-

134:21How do you know it's one human?

134:23Great question.

134:24So let's say you've bought a bunch of your piece of territory

134:26from Blackstone, okay?

134:27As a function of that,

134:29blackstone.eth signs an on-chain receipt

134:34that says this,

134:38lexfriedman.eth bought this piece of property from us

134:42and it has, you know, like, it's a thousand square meters

134:45and this is put on chain, they sign it, okay?

134:48That's their digital receipt.

134:50Just like you might get an email receipt

134:51when you buy a piece of property or something, okay?

134:53It's just put not online, but on chain.

134:56And it's signed by Blackstone

134:57or whatever real estate vendor you buy it from.

135:00It could be a company,

135:01it could obviously be an individual, right?

135:03And so you have a bunch of these assertions.

135:05Let's say there's 47 different real estate vendors.

135:08I know vendor's an atypical term there,

135:10but just bear with me, right?

135:1147 different real estate sellers

135:14that you've bought all of your territory from.

135:17Each of them put digital signatures that are asserting

135:19that a certain amount of real estate was bought

135:21and its square meters, its location,

135:22or whatever else they wanna prove.

135:24The sum of all that is now your real estate footprint, okay?

135:28And now the question is, was that real?

135:29Well, because they signed what they put on chain,

135:33you can do things like you can audit.

135:35Let's say Blackstone has signed 500,000 properties

135:38and they've sold them and put them on chain.

135:40And I'm not talking about 2022 or 2023, but 2030, right?

135:44It'll be a few years out,

135:45but people are doing this type of stuff.

135:46They're putting this stuff on chain.

135:47So you get that on-chain receipt.

135:48They've got 500,000 of these.

135:50What you can do is just sampling, okay?

135:53You pick a subset N of them,

135:55let's say 500 properties around the world.

135:57You go there, you actually go and independently look

136:00at what the square footprint is.

136:03And then from that,

136:04you can see what was the actual, your measurement

136:07versus their reported.

136:08And then you can, via Cisco inference,

136:10extrapolate that if they were randomly selected

136:12to the rest of the properties

136:14and get a reliability score for Blackstone's reporting

136:16of its real estate square footage.

136:18- Who does the, so that's the auditing step.

136:19- That's the auditing step.

136:20- So the crypto oracle is the-

136:24- Auditable oracle.

136:25- On-chain, what did you say, assertions?

136:28- That's right.

136:29- Yeah, about like who bought stuff with who.

136:30I still have to get to the proof of human,

136:32but auditing, there's a bunch of people randomly checking

136:36that you're not full of shit.

136:37- That's right.

136:38- Who is in charge of the auditing though?

136:40- So it could be a big four, like a PWC

136:43and basically the accountants that do corporate balance sheet

136:48and cashflow and-

136:50- Who keeps them in check from corruption?

136:52I'm just imagining a world full of network states.

136:55- Yeah, it's a good question.

136:55So at a certain point you get to who watches the watchers.

136:58Right?

136:59And, oh, well, the government is meant

137:02to keep the accountants accountable.

137:04And Arthur Anderson actually did have a whole flame out

137:06in the, around the time of the Enron thing.

137:09So it is possible that there's corrupt accountants

137:12or bad accountants or what have you.

137:14But of course the government itself is corrupt in many ways

137:17and prints all this money and seizes all of these assets

137:20and surveils everybody and so on and so forth.

137:22So, the answer to your question is going to be probably exit

137:27in the sense that if those accountants,

137:31they are themselves gonna digitally sign a report

137:34and put it on-chain.

137:35Okay?

137:35So they're gonna say, we believe that X, Y, and Z's,

137:40you know, reports are on-chain, we're this reliable,

137:44and here's our study.

137:45If they falsify that, well, if somebody finds that,

137:48eventually, then that person is downweighted

137:50and then you have to go to another accountant.

137:52Right?

137:52- Is there ways to mess with this?

137:53I mean, I just, let me breathe in and out.

137:57As I mentioned, some of the heaviest shit I've ever read.

138:01So because I visited Ukraine,

138:03I read "Red Famine" by Ann Applebaum, "Bloodlands."

138:08- Yep.

138:09- And it's just a lot of coverage of the census.

138:12I mean, there's a lot of coverage of a lot of things,

138:14but in Ukraine in the 1930s,

138:18Stalin messed a lot with the census to hide the fact

138:21that sort of a lot of people died from starvation.

138:25- And did that with the cooperation

138:26of Arthur G. Sulzberger's New York Times company.

138:29Like Walter Grant, he falsified all those reports.

138:31Are there several parties involved?

138:33Can there be several parties involved in this case

138:37that manipulate the truth as it is represented

138:42by the crypto oracle

138:44and as it is checked by the auditing mechanism?

138:47- It is possible, but the more parties that are involved

138:49in falsifying something, the more defections there are.

138:52So that's why you basically have another level of auditing

138:57is fundamentally the answer, right?

138:58And really, I think what it comes back to is

139:01if you're showing your work, right?

139:03This is the difference between crypto economics

139:05and fiat economics.

139:06You know, the Bitcoin blockchain,

139:07anybody can download it and run verification on it, okay?

139:10This is different than government inflation stats,

139:13which people don't believe, right?

139:14Because the process is just, you know,

139:17it is true that CPI methodology is published and so on,

139:20but it is not something which people feel

139:23reflects their actual basket of goods, right?

139:26And so the independent verifiability is really the core

139:30of what true audibility is.

139:32And so then to your question,

139:34it's hard for some group to be able to collude

139:36because the blockchain is public

139:37and everything they've written to it is public.

139:39And so if there's an error,

139:40it's easier in some ways to tell the truth than to lie

139:43because the truth is just naturally consistent

139:45across the world, whereas lies can be found out,

139:48even, you know, Cisco Tesla, you know, Benford's law?

139:51- Yes.

139:52- Right, it's something where the digits in like a real,

139:56if you take the last digit or the first,

139:58I forget if it was the last digit or the first digit,

139:59I think it's first digit, right?

140:01So you take the first digit in an actual financial statement,

140:05you look at the distribution of like how many ones

140:08and how many twos, how many threes, the percentages.

§19Transcript · 2:20:11–2:28:44

140:11It has actually, you'd guess it might be,

140:14oh, each one will be equally random, it'd be 10%.

140:17It's not like that, actually.

140:19There's a certain distribution that it has

140:21and fake data doesn't look like that, but real data does.

140:25- That's weird.

140:26- It's interesting, right?

140:27- Benford's law, also called the first digit law,

140:29states that the leading digits in a collection of data sets

140:33are probably going to be small.

140:36For example, most numbers in a set,

140:39about 30%, will have a leading digit of one.

140:42- Yeah, so that's a great example

140:43of what we were talking about earlier,

140:44the observational leading to the theory.

140:46- Ooh, there's a Benford's law of controversy.

140:48I'm looking that up.

140:50Benford's law of controversy.

140:53Benford's law of controversy is an adage

140:55from the 1980 novel "Timescape" stating,

140:58"Passion is inversely proportional

141:00"to the amount of real information available."

141:03The adage was quoted in an international drug policy article

141:06in peer-reviewed social science.

141:08Can I just say how much I love Wikipedia?

141:10I have the founder of Wikipedia

141:12coming on this very podcast very soon,

141:14and I think the world is a better place

141:17because Wikipedia exists.

141:18One of the things he wanted to come on and talk about

141:21is the ways that he believes that Wikipedia is going wrong.

141:26- So on technical truths, it's great.

141:28Remember I think earlier on technical truths

141:30versus political truths?

141:31On technical truths, it's great.

141:32On political truths, it's like a defamation engine.

141:35Just as one example, okay?

141:37This is something that I was gonna write up,

141:39but there was a scam called HPZ Token

141:43that managed to edit Wikipedia.

141:45Nobody detected it.

141:47It said that I was the founder of HPZ Token.

141:50- That you were the founder of HPZ Token.

141:51- Yeah, I had nothing to do with this,

141:53and people were scammed out of it

141:55because Google just pushes Wikipedia links

141:59to high on Google, and people are like,

142:02"Well, it's Wikipedia, therefore it's real," right?

142:06Wikipedia has the bio of living persons thing.

142:09They should just allow people to delete their profile

142:10'cause they have zero quality control on it.

142:12It's literally facilitating fraud, right?

142:15Where people will maliciously edit

142:18and then do things with them,

142:19and nobody cares or is looking at it

142:22beyond the fraudsters, and this is happening.

142:24If that was happening, that was undetected.

142:26I wasn't paying attention to this.

142:27This was there for weeks or months, totally undetected,

142:30that literally facilitated fraud, right?

142:32And fundamentally, the issue is that

142:35Wikipedia doesn't have any concept of who's editing

142:38or property rights or anything like that, right?

142:40It is also something which is,

142:42it used to be something in the early 2000s, mid-2000s,

142:45people said, "Oh, it's Wikipedia,

142:46"how trustworthy it can be, Britannica's reviewed,"

142:48and that's been forgotten,

142:49and now it's become over-trusted, right?

142:51Remember the thing, like, the more trust something gets,

142:54the less trustworthy it often becomes.

142:56It kind of abuses the power, right?

142:58So what I'm interested in,

143:01Google actually had a model a while back called KNOL.

143:03KNOL, K-N-O-L, was something where

143:07when there were different versions of a Wikipedia-style page,

143:12you had Google Docs-like permissions on them.

143:14For example, you might have 10 different versions

143:17of the Israeli-Palestinian conflict, okay?

143:21And each one had an editor

143:23and folks that they could grant edit rights and so on,

143:26but this way, you would actually be able to see

143:29different versions of a page,

143:31and they might have different versions of popularity,

143:33but this way, you wouldn't have edit wars,

143:35you'd have forks, right?

143:37And they would all kind of coexist,

143:39and then people could review them,

143:41and now you could see different versions of something

143:44versus the thing that just kind of rewards

143:48dogged persistence or being an editor

143:50or something like that.

143:51The other thing is, a lot of the folks

143:52who have editorial privileges of Wikipedia

143:55are there from the early 2000s,

143:57and most of India wasn't online then.

144:00Most of Africa wasn't online then, right?

144:02So there's this inherited power that exists,

144:06which again, was fresh and innovative 10 or 20 years ago,

144:10but it's now kind of outdated.

144:13- Yeah, I wanna see some data, though.

144:14- You wanna see what? - I wanna see some data,

144:16because we can always, I mean, this is,

144:20we often highlight small anecdotal--

144:23- Okay, I'll give you an example.

144:24- Cases, hold on a second.

144:26We often highlight issues in society, in the world,

144:30in anything by taking a specific example,

144:35taking anecdotal data and saying, "There's a problem here."

144:37I wanna know on net how much positive

144:40is being added to the world because of it.

144:42My experience that I try to be empathetic and open-minded,

144:46my exploration of Wikipedia has been such

144:49that it is a breath of fresh air

144:53in terms of the breadth and depth of knowledge that is there.

144:58Now, you can say there's bias built in,

145:02there's wars that are incentivized not to produce truth,

145:06but to produce a consensus around a particular narrative,

145:11but that is how the entirety of human civilization operates,

145:15and we have to see where's it better and where's it worse

145:19in terms of platforms.

145:20- I think Wikipedia was an improvement over what came before

145:24but has a lot of flaws.

145:25You're right that absolutely,

145:27sometimes people can over-fixate on the anecdotal,

145:29but sometimes the anecdotal illustrates a general pattern.

145:34For example, one thing that happens frequently in Wikipedia

145:36is there are editors who will plant a story

145:41and then they will then go and use that story

145:44as like a neutral third party to win an edit war.

145:47So here's a phenomenon that happens in Wikipedia.

145:51You have an editor who's privileged

145:54above just random users, okay,

145:56who will plant a story and then cite that story

145:59as if it was a neutral third party.

146:00So there's a site called Wikipediocracy, okay,

146:03and it discusses the case of a person named Peppermint

146:08who had a name that they didn't want included,

146:11their so-called dead name on their Wikipedia profile.

146:14And there's a Wikipedia editor named Tenebrae

146:16who people allege was a Newsday reporter or writer

146:21that put a piece into Newsday that dead named Peppermint

146:27and then was able to cite it on the Wikipedia article

146:30as if it was like a neutral third party

146:32when it actually wasn't,

146:33when people allege it was the same guy, okay?

146:35Now, that is not an uncommon thing.

146:38That actually--

146:39That's what I want data on.

146:40Okay, I know--

146:40How many articles, I'm not--

146:42Who's auditing--

146:43I'm dancing with you, not against you.

146:45Sure, sure.

146:46I'm saying how many articles have that kind of war

146:50where douchebags are manipulating each other?

146:53So that's the question, what's the audit?

146:55Has Wikipedia actually been audited, right?

146:57Who are the editors?

146:58Like, who's actually writing this stuff?

147:00It is actually something where, again, on technical topics,

147:03I think it's pretty good.

147:04On non-technical topics, there's something called

147:07the Wikipedia Reliable Sources Policy.

147:09It's a fascinating page, okay?

147:11So it actually takes a lot of the stuff

147:13that we have been, you know, the world has been talking about

147:16in terms of what's a reliable source of information

147:19and so on and so forth.

147:20It's called the Wikipedia Reliable Sources,

147:22Perennial Sources, okay?

147:23And if you go to this page, okay,

147:25which I'm just gonna send to you now, all right,

147:27you will literally see every media outlet in the world

147:31and they're colored gray, green, yellow, or red, okay?

147:36And so red is like untrustworthy, green is trustworthy,

147:40yellow is like neutral, okay?

147:42Now, this actually makes Wikipedia's epistemology explicit.

147:47They are marking a source as trustworthy or untrustworthy.

147:50For example, you are not allowed to cite social media

147:52on Wikipedia, which is actually an enormous part

147:55of what people are posting.

147:56Instead, you have to cite a mainstream media outlet

148:00that puts the tweets in the mainstream article

148:04and only then can it be cited in Wikipedia.

148:06- By the way, to push back, this is a dance.

148:09We're dancing. - Sure, sure, sure, sure.

148:10- That those are rules written on a sheet of paper.

148:14I have seen Wikipedia in general play in the gray area

148:18that these rules create.

148:20- Oh, well, if you are an editor, then you can get--

148:23- So you can use the rules and you can,

148:26because there's a lot of contradictions within the rules,

148:28you can use them to, in the ways you said,

148:32to achieve the ends you want.

148:33It really boils down to the incentives,

148:37the motivations of the editors.

148:40And one of the magical things about Wikipedia,

148:42the positive versus the negative,

148:44is that it seems like a very small number of people,

§20Transcript · 2:28:47–2:38:12

148:47same with Stack Overflow, can do an incredible amount

148:51of good editing and aggregation of good knowledge.

148:56Now, as you said, that seems to work much better

149:03for technical things over which there's not

149:05a significant division.

149:08Some of that has to do less with the rules

149:11and more with the human beings involved.

149:15- Well, but here's the thing is,

149:17so first, let me take this,

149:17I should finish off this point

149:19with reliable source, perennial sources, right?

149:20So if you go to this, you'll see that Al Jazeera

149:24is marked green, but let's say the Cato Institute

149:29is marked yellow, right?

149:32The nation is marked green. - Oh, shit.

149:34Oh, snap.

149:35Right, okay, sure, yes.

149:37- The nation is marked green,

149:38but National Review is marked yellow, okay?

149:41You could probably go and do,

149:42so what's good about this is it makes

149:43the epistemology explicit, right?

149:46You could actually take this table,

149:48and you could also look at all the past edit wars

149:51and so on over it, and take a look at what things

149:53are starting to get marked as red or yellow

149:55and what things are starting to get marked as green,

149:57and I'm pretty sure you're gonna find

149:59some kind of partisan polarization

150:00that comes out of it, right, number one.

150:02Number two is once something gets marked

150:06as being yellow or red, then all links

150:10and all references to it are pulled out.

150:12For example, Coindesk, okay, was marked

150:16as being like, gosh, what was it?

150:17- Yellow?

150:18- I think it's marked as red.

150:22Coindesk, which is actually like--

150:23- I get a lot of useful information from Coindesk.

150:25- That's right, but it's marked as red, why?

150:26Because there's some Wikipedia editors

150:29who hate cryptocurrency, and so cryptocurrency

150:31on Wikipedia has been a huge topic

150:34where they've just edited out all the positive stuff,

150:35and these are senior editors of Wikipedia

150:37who can control what sources are considered reliable.

150:41So they've now knocked out Coindesk,

150:42they've knocked out social media.

150:45They only allow mainstream media coverage,

150:47and not even all mainstream media,

150:48only those they've marked as green.

150:50This is the manipulation of consensus.

150:52- I wanna know how many articles are affected by it,

150:55and on that-- - Hundreds of thousands.

150:57Hundreds of thousands.

150:57- You could just say that randomly.

151:00- I can, I can. - No, no, no, no, no.

151:01- I can, because all the-- - They're affected,

151:02there's different levels of effect

151:04in terms of it actually having a significant impact

151:07on the quality of the article.

151:08- Let me give you an example.

151:09Let me give you an example, right?

151:12The fact that people cannot cite direct quotes

151:16on social media, but can only cite the rehash

151:20of those quotes in a mainstream media outlet,

151:22and not just any mainstream media outlet,

151:24but those that are colored green

151:25on the Wikipedia reliable perennial sources policy,

151:29is a structural shift on every single article

151:32to make Wikipedia align with

151:34US mainstream media corporations, right?

151:36- I am, as often, playing devil's advocate,

151:41to counter a point so that the disagreement

151:44reveals some profound wisdom.

151:48That's what I'm doing here.

151:50But also in that task here, I'm trying to understand

151:55exactly how much harm is created by the bias

152:02within the team of editors that we're discussing,

152:06and how much of Wikipedia is technical knowledge.

152:10For example, the Russian invasion of Ukraine.

152:16The Wikipedia article I've seen there,

152:21now that changes very aggressively a lot,

152:24and I hear from every side on this,

152:29but it did not seem biased to me.

152:32As compared to mainstream media in the United States.

152:39- So now I'm gonna sound extremely woke, okay?

152:42If you go and look at this, all right?

152:45Times of India is yellow, but Mother Jones,

152:49Jacobin, okay, they are green, right?

152:53So a niche, mostly white, Western, partisan left outlet,

152:59is marked green, but a billion people,

153:02like the Times of India is marked yellow, right?

153:06That's a structural bias towards Western media outlets

153:11and Western editors when much of the rest of the world

153:15hadn't gotten online or whatever.

153:16- I would just love to see, in terms of the actual article,

153:20what ideas are being censored, altered, shifted.

153:27I would love, I just think it's an open, I'm not sort of--

153:31- So the edit logs are there, edit logs are public.

153:32- Yeah, I would be fascinated, yeah.

153:34Is there a way to explore the way

153:37that narratives are shifted because of--

153:39- Sure, so a very simple one is,

153:41if you were to pull all the edit logs of Wikipedia,

153:44you could see how many times

153:46are social media links disallowed, okay?

153:51Like, first of all, think about it like this.

153:52How many, I mean, just the fact that social media

153:55is not allowed to be cited on Wikipedia

153:57or inconsistently allowed.

153:58- You think that's a problem?

153:59- It's a huge problem.

154:00You can't cite, let's say Jeff Bezos' own tweet.

154:04You have to cite some random media corporation.

154:06- Here's the thing, and sorry if I'm interrupting.

154:09- Please.

154:10- Hopefully I'm adding to it.

154:11I think they're trying to create friction

154:15as to the sources used because if you can use social media,

154:20then you can use basically bots

154:23to create a bunch of sources, right?

154:25And then you can almost automate the editor war, right?

154:30- Here's the thing, is basically Wikipedia initially,

154:33like said, oh, we'll only cite mainstream media

154:37as a way of boosting its credibility in the early 2000s,

154:42okay, when its credibility was low.

154:44Now it's sort of become merged with the US establishment

154:49and it only cites these things whose trust,

154:51I mean, have you seen the graphs on trust in mainstream media?

154:54Like it's plummeted.

154:55It's down to like 10% or something like that, right?

154:58So the most trusted sources for Wikipedia

155:00are untrusted by the population.

155:02- Yeah. - True?

155:03- That feels like it's a fixable technological problem.

155:06I think I'm under-informed and my gut says

155:10we're both together under-informed.

155:12I do a rigorous three to four hour discussion

155:14about Wikipedia.

155:15But hold on a second.

155:16I think I have a gut sort of developed

155:22feeling about which articles not to trust on Wikipedia.

155:25I think I need to make that explicit also.

155:28I have a kind of an understanding

155:30that you don't go to Wikipedia for this particular topic.

155:34Like don't go to Wikipedia for an article

155:37on Donald Trump or Joe Biden.

155:38There's going to be, if I did,

155:41I would go to maybe sections that don't have room

155:45for insertion of bias or like the section on controversy

155:49or accusations of racism or so on or sexual assault.

155:53I usually not trust Wikipedia on those sections.

155:57- Like math, that'll be great, right?

155:59Wikipedia's great for that.

156:00On many topics that do not have a single consensus truth,

156:05it's structurally shifted towards

156:08basically white Western liberals, woke whites, right?

156:13Fundamentally, that's the demographic of the Wikipedia.

156:16- What kind of articles do you think are affected by this?

156:18Let's think about it.

156:20- Everything that's not math and technology.

156:22- I think that's too strong a statement.

156:24So we can, like I said, war in Ukraine.

156:28- Sure.

156:30- I think that's too strong a statement.

156:32There's so much, I guess I'm saying affected

156:37to a large degree.

156:39Even major battles in history, Battle of Stalingrad.

156:43- Sure.

156:45- That's not math.

156:46So you think all of that is affected to a point

156:50where it's not a trusted source?

156:53- Absolutely.

156:53If you look at the edit wars, for example,

156:55on Stalin versus Hitler,

156:56the tone on Hitler starts out legitimately and justifiably

157:01as basically genocidal, maniacal dictator.

157:04With Stalin, there's a fair number of Stalin apologists

157:07that edit out mention of genocide

157:09from the first few paragraphs.

157:10- I am playing devil's advocate in part,

157:14but I also am too under-informed to do the level of defense

157:18I would like to provide for the wisdom that is there,

157:22for the knowledge that is there.

157:23I don't wanna use the word truth,

157:25but for some level of knowledge that is there in Wikipedia,

157:30I think I really worry about,

157:33I know you don't mean this,

157:35but a cynical interpretation of what you're saying,

157:38which is don't trust anything written on Wikipedia.

157:42I think you're being very consistent and eloquent

157:44in the way you're describing the issues of Wikipedia,

157:46and I don't have enough actual specific examples

157:51to give where there is some still battle for truth

157:58that's happening that's outside of the bias of society.

158:02I just, I think if we naturally distrust

158:05every source of information,

158:07there is a general distrust of institutions

158:12and a distrust of social knowledge

§21Transcript · 2:38:16–2:47:06

158:16that leads to an apathy and a cynicism

158:20about the world in general.

158:22If you believe a lot of conspiracy theories,

158:26you basically tune out from this collective journey

158:30that we're on towards the truth,

158:32and that's, it's not even just Wikipedia.

158:35I just think Wikipedia was, at least for a time,

158:37and maybe I tuned out,

158:39maybe because I am too focused on computer science

158:42and engineering and mathematics,

158:45but to me, Wikipedia for a long time

158:47was a source of calm escape

158:51from the political battles of ideology.

158:55And as you're quite eloquently describing,

158:59it has become part of the battleground

159:03of political ideology.

159:05I just would love to know where the boundaries of that are.

159:08- Glenn Greenwald has observed this.

159:10Lots of other folks, for example,

159:13I'm definitely not the only person who's observed

159:15that Wikipedia-- - A lot of,

159:16let me just state, because I'm sensing this,

159:18and because of your eloquence and clear brilliance here,

159:21that a lot of people are going to immediately agree with you.

159:25- Okay.

159:26- And this is what I am also troubled by.

159:29This is not you, but I often see that people

159:33will detect cynicism,

159:36especially when it is phrased as eloquence,

159:38it's yours, and will look at a natural dumbass like me

159:43and think that Lex is just being naive.

159:48Look at him trusting Wikipedia--

159:49- Let me argue your side. - For his mainstream narrative.

159:51- Let me argue your side, okay?

159:52- Can you please do that,

159:53'cause you could do that better than me?

159:54- No, no, no, no, Lex, I enjoy talking to you.

159:57- And I'm doing devil's advocate a little bit,

159:58'cause I do really want to be,

160:01I am afraid about the forces that are basically editors

160:06of authority of talking down to people

160:08and censoring information.

160:09- Yeah, so let me first argue your side,

160:11and then let me say something, okay?

160:12Which is, what you are reacting to is,

160:17oh, even those things I thought of as constants

160:21are becoming variables.

160:22Where is the terra firma?

160:24If we cannot trust anything,

160:26then everybody's just, it's anarchy and it's chaos,

160:30like there's literally no consensus reality,

160:31and anybody can say anything, and so on and so forth, right?

160:34And I think that there's two possible deviations from,

160:38let's say that the mainstream,

160:42obviously people talk about QAnon, for example,

160:44as this kind of thing, where people just make things up.

160:48They just go totally,

160:50quit supply chain independent from mainstream media.

160:52And if mainstream media is a distorted gossamer

160:57of quasi-truth, these guys go to just total fiction,

161:00as opposed to like, right?

161:01The alternative to QAnon is not BlueAnon, mainstream media,

161:06but Satoshianon, okay?

161:09Which is an upward deviation, okay?

161:11Not a downward deviation to say

161:12there is no such thing as truth,

161:14but rather the upward deviation

161:15is decentralized cryptographic truth,

161:18not centralized corporate or government truth, okay?

161:22- So how does the decentralization of Wikipedia look like?

161:25- Great question.

161:26It's this concept of the ledger of record.

161:27First, whether you're Israeli or Palestinian,

161:30Japanese or Chinese, Democrat or Republican,

161:32those people agree on the state of the Bitcoin blockchain.

161:37Hundreds of billions of dollars is managed without weapons,

161:40okay, across tribes with wildly varying ideologies, right?

161:45And what that means is that is a mechanism

161:50for getting literally consensus.

161:52It's called consensus, cryptographic consensus,

161:54proof of work.

161:56And when people can get consensus on this,

161:58what they're getting consensus on are basically bytes

162:00that determine who holds what Bitcoin.

162:02This is exactly the kind of thing

162:03people would fight wars over.

162:05You know, for hundreds of billions of dollars,

162:06let alone millions of dollars,

162:08people will kill each other over that in the past, right?

162:11So for hundreds of billions of dollars,

162:12people can get consensus truth on this

162:14in this highly adversarial environment, right?

162:16So the first generalization of that is it says,

162:20you can go from bytes that reflect

162:22what Bitcoin somebody has,

162:24to bytes that reflect what stocks, bonds,

162:26other kinds of assets people have.

162:28That's the entire DeFi, Ethereum, that whole space, okay?

162:32Basically the premise is if you go from consensus

162:34on one byte by induction,

162:36you can go to consensus on N bytes,

162:38depending on the cost of getting that consensus, right?

162:40And almost anything digital can be represented,

162:43you know, everything digital can be represented as bytes,

162:45right?

162:46So now you can get consensus

162:47on certain kinds of digital information, Bitcoin,

162:50but then also any kind of financial instrument.

162:52And then the next generalization is

162:54what I call the ledger of record.

162:57Many kinds of facts can be put partially

163:02or completely on chain.

163:04It's not just proof of work and proof of stake.

163:07There's things like proof of location,

163:09proof of human, proof of this, proof of that.

163:11The auditable oracles I talked about extended further.

163:14Lots and lots of people are working on this, right?

163:16Proof of solvency,

163:17seeing that some actor has enough of a bank balance

163:21to accommodate what they say they accommodate.

163:23You can imagine many kinds of digital assertions

163:26can be turned into proof of X and proof of Y.

163:28You start putting those on chain,

163:29you now have a library of partially

163:32or completely provable facts, okay?

163:35This is how you get consensus.

163:37As opposed to having a white Western Wikipedia editor

163:42or mostly white Western US media corporation

163:47or the US government simply say what is true

163:51in a centralized fashion.

163:53- So do you think truth is such an easy thing

163:58as you get to higher and higher questions of politics?

164:03Is the problem that the consensus mechanism is being hacked

164:07or is the problem that truth is a difficult thing

164:09to figure out?

164:11Was the 2020 election rigged or not?

164:13Is the earth flat or not?

164:15That's a scientific one.

164:17That's how this is--

164:17- My technical versus political truth spectrum, yeah.

164:19- But even the earth, like, well, that one is,

164:23yeah, nevermind, that's a bad example

164:25because that is very,

164:27you can rigorously show that the earth is not flat.

164:29But what, there's some social phenomena,

164:34political phenomena, philosophical one,

164:36that will have a lot of debates, historical stuff,

164:39about the different forces operating within Nazi Germany

164:46and Stalinist Soviet Union.

164:50I think there's probably a lot of,

164:52yeah, like, historians debate about a lot of stuff,

164:56like Blitz, the book that talks about the influence

165:01of drugs in the Third Reich.

165:03- Were they on meth or something?

165:04- Yeah, there's a lot of debates about how truth,

165:07what is the significance of meth on the actual behavior

165:11and decisions of Hitler and so on.

165:13So there's still a lot of debates.

165:15Is it so easy to fix with decentralization,

165:20I guess is the question.

165:21- So I actually have, like, basically chapter two

165:23of the "Network State" book is on essentially this topic.

165:26And so it's like 70 pages or something like that.

165:29So let me try to summarize what I think about on this.

165:32The first is that there was an Onion article that came out,

165:36I can't find it now anymore,

165:37but it was about historians in the year 3000

165:41writing about the late '90s and early 2000s.

165:43And they're like, clearly Queen Brittany

165:47was a very powerful monarch.

165:51We can see how many girls around the world

165:55worshipped her like a god.

165:57And so, and it was very funny

165:58because it was a plausible distortion

166:02of the current society by a human civilization

166:07picking through the rubble a thousand years later,

166:11having no context on anything, right?

166:13And it was a very thought provoking article

166:15because it says, well, to what extent is that us

166:19picking over Pompeii or the pyramids,

166:22or even like the 1600s or the 1700s,

166:25like a few hundred years ago,

166:26we're basically sifting through artifacts.

166:29And Selma Berger actually has this concept,

166:32which is obvious, but it's also useful to have a name for it.

166:36It's like, I think he calls it like dark history,

166:38which is, and again, I might be getting this wrong,

166:40but it's like only a small percentage

166:42of what the Greeks wrote down,

166:45has come to us to the present day, right?

166:47So perhaps it's not just the winners who write history,

166:51it's like the surviving records.

166:52We have this extremely partial,

166:55fragmentary record of history.

166:57And sometimes there's some discovery

166:59that rewrites the whole thing.

167:00Do you know what like Gobekli Tepe is?

167:02- Everything I know about that is from Rogan

167:04'cause he's a huge fan of that kind of stuff.

167:06- Yeah, so that like rewrites.

§22Transcript · 2:47:07–2:54:10

167:07- And then there's a lot of debates there.

167:09- There's a lot of debates.

167:10And I think it's like the discovery of this site

167:11in Northern Turkey that totally shifts our estimate

167:15of like when civilization started,

167:17maybe pushing it back many thousands of years further

167:19in the past, right?

167:20The past, it's like an inverse problem in physics, right?

167:24We're trying to reconstruct this from limited information,

167:27right?

167:28It's like X-ray crystallography,

167:29it's an inverse problem, right?

167:31It's Plato's cave.

167:32We're trying to reconstruct what the world looks like

167:34outside from the shadows,

167:35these fragments that have been given to us, right?

167:39Or that we've found.

167:41And so in that sense, as you find more information,

167:44your estimate of the past changes, right?

167:46Oh, wow, okay, that pushes back civilization

167:48farther than we thought.

167:49That one discovery just changes it.

167:50- So you want to try to,

167:51given all the gaps in the data we have,

167:55you want to try to remove bias

167:57from the process of trying to fill the gaps.

168:01- Well, so here's the thing.

168:02I think we're very close to the moment of it.

168:04And so that's why it'll sound crazy when I say it now.

168:06But our descendants,

168:09I really do think of what the blockchain is

168:13and cryptographically verifiable history

168:15as being the next step after written history.

168:18It's like on par with that.

168:20Because anybody who has the record,

168:22the math is not gonna change, right?

168:24Math is constant across human time and space, right?

168:27So, you know, the value of pi is constant.

168:29That's one of the few constants

168:30across all these different human civilizations, okay?

168:33So somebody in the future,

168:36assuming of course the digital record

168:38is actually intact to that point,

168:39because in theory digital stuff will persist.

168:43In practice, you have lost data and floppy drives

168:46and stuff like that.

168:47In a sense, in some ways digital is more persistent,

168:49in some ways physical is more persistent, okay?

168:51But assuming we can figure out

168:52the archival problem somehow,

168:54then this future record,

168:57at least it's internally consistent, right?

168:59You can run a bunch of the equivalence of checksums, right?

169:02The Bitcoin verification process,

169:04just sum it all up and see that,

169:06okay, it's F of G of H of X,

169:08and boom, that at least is internally consistent, okay?

169:11Again, it doesn't say that

169:13all the people who reported it were,

169:16you know, they could have put something on chain

169:17that's false, but at least you know the metadata

169:19is likely to be very difficult to falsify.

169:21And this is a new tool.

169:22It's really a new tool in terms of a robust history

169:26that is expensive and technically challenging

169:28to edit and alter.

169:30And that is the alternative to the Stalin-esque

169:32rewriting of history by centralized power.

169:34- Yeah, I'm gonna have to do a lot of actually reading

169:37and thinking about,

169:39I'm actually, as you're talking,

169:40I'm also thinking about the fact that I think

169:4399% of my access to Wikipedia is on technical topics,

169:48'cause I basically use it very similarly to Stack Overflow.

169:53- And even there, it doesn't have unit tests.

169:54For example, one thing-

169:56- That's a good way to put it.

169:57- Right, so one thing I remember,

169:58again, I might be wrong on this,

169:59but I recall that the Kelly criterion

170:02it's actually quite a useful thing to know.

170:04It's like how to optimally size your bets.

170:06And you can have, given your kind of probability

170:10that some investment pays off or assumed probability,

170:13you can have bets that are too large,

170:15bets that are too small.

170:16Sometimes the Kelly criterion, it goes negative

170:18and actually it says you should actually take leverage.

170:20You're so sure this is a good outcome

170:22that you should actually spend more

170:23than your current bankroll

170:24because you're gonna get a good result, right?

170:26So it's a very sophisticated thing.

170:28And as I recall, many sites on the internet

170:30have the wrong equation.

170:33And I believe that was reprinted on Wikipedia.

170:34The wrong equation was put on Wikipedia

170:36as a Kelly criterion for a while.

170:38- That's funny.

170:38- Okay, and so without unit tests,

170:41see math is actually the kind of thing

170:43that you could unit test, right?

170:44You could literally have the assert

170:45on the right-hand side today, right?

170:47The modern version, we've got Jupiter,

170:50we've got Replit, we've got all these things.

170:52The modern version of Wikipedia,

170:54there's sites like golden.com, for example,

170:58there's a bunch of things.

170:59I'm funding lots of stuff across the board on this.

171:02And I'm not capitalizing these companies

171:05or capitalize independently,

171:06but I'm trying to see if,

171:07not just talk about a better version.

171:09It's hard to build something better.

171:10So actually go and build it.

171:12And where you want is assertions

171:14that are actually reproduced.

171:15You don't just have the equation there.

171:17You have it written down in code.

171:18You can hit enter, you can download the page,

171:19you can rerun it.

171:20It's reproducible.

171:21- So the problem with that kind of reproducibility

171:24is that it adds friction.

171:25It's harder to put together articles

171:26that do that kind of stuff,

171:28unless you do an incredible job with UX and so on.

171:31The thing that I think is interesting about Wikipedia

171:34on the technical side is that without the unit tests,

171:38without the assertions,

171:40it still often does an incredible job

171:42because the reason it's,

171:44the people that write those articles,

171:46and I've seen this also in Stack Overflow,

171:48is are the people that care about this most.

171:51And there's a pride to getting it right.

171:54- Okay, so let me agree and disagree with that.

171:58So absolutely, there's some good there.

172:00There's, I mean, again,

172:02do I think Wikipedia is a huge step up

172:04from what preceded it in some ways on the technical topics?

172:06Yes.

172:08However, you're talking about the editing environment.

172:10Like the markup for Wikipedia,

172:12it's very mid 2000s.

172:14It is not--

172:15- It's a Craigslist.

172:16- Yeah, exactly.

172:17At a minimum, for example, it's not WYSIWYG.

172:20So like Medium or something like that,

172:23you know, or Ghost,

172:25you can just go in and type

172:26and it looks exactly like it looks on the page.

172:28Here, you have to go to a markup language

172:31where there can be editor conflicts

172:33and you hit enter and someone is over in your edit

172:36or something like that.

172:37And you don't know how it looks on the page.

172:38You might have to do a few, you know,

172:39previews or what have you.

172:40So number one, so editing,

172:42you talk about bearish ending, that's the thing.

172:45Number two is, given that it might be read a thousand times

172:49for every one time it's written,

172:51it is important to actually have

172:52the mathematical things unit tested, if they can be,

172:55given that we've got modern technology.

172:57And that's something that's hard to like retrofit into this

172:59because it's so kind of ossified, right?

173:01- Right, there's the interface on every side for the editor,

173:05even just for the editor to check that they're,

173:08say the editor wants to get it right,

173:09we make it, we wanna make it really,

173:12or not really easy, but easier to check their work.

173:15- That's right. - Like debugging,

173:16like a nice ID for the--

173:19- That's exactly right.

173:20- Editing experience.

173:21- That's right, and the thing about this is,

173:24as I said, because the truth is a global constant,

173:27but like incorrectness, you know, right, go ahead.

173:30Every happy family.

173:31- I love to think that like truth will have a nice debugger.

173:36- Well, so here's, right?

173:37So the thing is that what you can do is,

173:42let's say you did have like a unit tested page

173:44for everything that's on Wikipedia.

173:45First of all, it makes a page more useful

173:47because you can download it, you can run it,

173:48you can import it and so on.

173:50Second is it leads into,

173:51one of the things that we can talk about,

173:53I've sort of like a roadmap for building alternatives

173:56to not just existing companies,

173:58but to many existing US institutions

174:01from media and tech companies to courts and government

174:05and, you know, academia and nonprofits.

174:08The Wikipedia discussion actually relates

174:10to how you improve on academia, right?

§23Transcript · 2:54:14–3:02:22

174:14And so academia right now, one of the big problems,

174:17this is kind of related to the, oh boy,

174:19okay, the current institutions,

174:20we don't have trust in them.

174:21Is that the answer is,

174:22is that the answer to trust no one, right?

174:24And I think the alternative is decentralized cryptographic

174:26trust or verification.

174:28How does that apply to academia?

174:30First observation is we are seeing science

174:35being abused in the name of quote unquote science, okay?

174:40Capital S science is Maxwell's equations.

174:44That's- - That's the good one.

174:45- That's a good one, right?

174:46Quote unquote science is a paper that came out last week.

174:50And the key thing is that capital S science, real science,

174:54is about independent replication, not prestigious citation.

174:58That's the definition, like all the journal stuff,

175:02the professors, all that stuff is just a superstructure

175:06that was set on top to make experiments more reproducible.

175:11And that superstructure is now like dominating

175:16the underlying thing because people are just fixating

175:18on the prestige and the citation

175:20and not the replication, right?

175:21So how does that apply here?

175:23Once you start thinking about how many replications

175:26does this thing have, Maxwell's equation,

175:28I mean, there's trillions of replications.

175:30Every time, us speaking into this microphone right now,

175:33you know, we're testing, you know,

175:36our theory of the electromagnetic field, right?

175:38Or electromagnetic fields.

175:40Every single time you pick up a cell phone

175:41or use a computer, you're putting our knowledge

175:44to the test, right?

175:46Whereas some paper that came out last week

175:49in Science or Nature may have zero independent replications,

175:52yet it is being cited publicly as prestigious scientists

175:57from Stanford and, you know, Harvard and MIT

176:00all came up with X, right?

176:02And so the prestige is a substitute

176:05for the actual replication.

176:08So there's a concept called Goodhart's Law, okay?

176:11I'm just gonna quote it.

176:12"When a measure becomes a target,

176:13it ceases to be a good measure," okay?

176:15So for example, backlinks on the web

176:20were a good signal for Google to use

176:23when people didn't know they were being used as a signal.

176:25- Yeah, you talked about quantity versus quality

176:28and PageRank was a pretty good approximation for quality.

176:30- Yes.

176:31- It's a fascinating thing, by the way, but yeah.

176:33- It is a fascinating thing, we can talk about that.

176:34But basically, once people know

176:38that you're using this as a measure,

176:39they will start to game it.

176:41And so then you have this cycle

176:43where sometimes you have a fixed point,

176:45like Satoshi with "Proof of Work"

176:47was miraculously able to come up with a game

176:50where the gaming of it was difficult

176:51without just buying more compute, right?

176:53So it's actually, it's a rare kind of game

176:55where knowledge of the game's rules

176:57didn't allow people to game the game.

176:59- Yeah.

176:59- But--

177:00- A brilliant way to put it, yeah.

177:01Which is one of the reasons it's brilliant,

177:03is that you can describe the game

177:06and you can't mess with it.

177:07- Exactly, it's very hard to come up with something

177:09that's stable in this way.

177:10There's actually, on the meta point,

177:12gosh, there's a game where the rule of the game

177:16is to change the rules, okay?

177:19It is--

177:21- You mean "Human Civilization" or what?

177:23- Yeah, gosh, it is called something, NOMIC, okay?

177:28- N-O-M-I-C?

177:30- NOMIC is a game where the rule of the game

177:33is to change the rules of the game.

177:34At first, that seems insane.

177:36Then you realize that's Congress.

177:38- Yeah.

177:41- Right?

177:41It is so meta because there are laws for elections

177:46that elect the editors of those laws

177:52who then change the laws that get them elected

177:54with gerrymandering and other stuff, right?

177:56That's a bad way of thinking about it.

177:58The other way of thinking about it is

177:59this is what every software engineer is doing.

178:02You are constantly, quote, "changing the rules"

178:04by editing software and pushing code updates and so on, right?

178:08So many games devolve into the metagame

178:12of who writes the rules of the game, right?

178:14Become essentially games of NOMIC.

178:16Proof of Work is so amazing

178:18because it didn't devolve in such a way, right?

178:21It became very hard to rewrite the rules

178:22once they got set up.

178:23Very financially and technically expensive.

178:25That's not to say it will always be like that,

178:28but it's very hard to change.

178:29- If we could take a small tangent,

178:31we'll return to academia.

178:32I'd love to ask you about how to fix the media as well

178:35after we fix academia.

178:36- Yeah, these are all actually related.

178:37- Yeah, Wikipedia, media, and academia

178:40are all related to the question of

178:42independent replication versus prestigious citation.

178:46- Sure, so the problem is authority and prestige

178:50as you see it from academia and the media

178:54and Wikipedia with the editors.

178:57We have to have a mechanism where sort of

179:04the data and the reproducibility

179:07is what dominates the discourse.

179:09- That's right, and so one way of thinking about this is,

179:11I've said this in, I think I tweeted this,

179:14Western civilization actually has

179:17a break-classification emergency button.

179:19It's called decentralization, right?

179:21Martin Luther had it.

179:22When the Catholic Church was too ossified and centralized,

179:25decentralized with the Protestant Reformation, okay?

179:28He said, at the time, people were able to

179:32pay for indulgences, like that is to say they could sin.

179:36They could say, okay, I sinned five times yesterday.

179:38Here's the equivalent of 50 bucks.

179:40Okay, I'm done with my sin.

179:41I can go and sin some more.

179:42Okay, they should really buy their way out of sin, okay?

179:44Now people debate as to how frequent

179:46those indulgences were, but these are one of the things

179:47he invade against in the 95 Theses.

179:50So decentralization, boom, break away

179:52from this ossified church, start something new, right?

179:55And in theory, the "religious wars" of the 1600s

179:59that ensued were about things like

180:01where the wafer was the body of Christ or what have you,

180:04but in part, they were also about power

180:07and whether the centralized entity would write all the rules

180:09or the decentralized one would.

180:11And so what happened was, obviously Catholicism still exists

180:13but Protestantism also exists, okay?

180:15And similarly, here you've got this ossified

180:19central institution where, forget about,

180:22I mean, there's complicated studies

180:23that are difficult to summarize,

180:24but when you have the science saying

180:26masks don't work and then they do, okay?

180:29Which everybody saw.

180:30And this is not like, everybody knew

180:32that there was not like some massive study

180:34that came out that changed our perspective on mask wearing.

180:37It was something that was just insistently asserted

180:39as this is what the science says.

180:41And then without any acknowledgement,

180:43the science said something different the next day, right?

180:45I remember 'cause I was in the middle of this debate.

180:48And I think you could justify masks early in the pandemic

180:51as a useful precaution and then later,

180:55post-vaccination, perhaps not necessary.

180:56I think that's like the rational way of thinking about it.

180:58But the point was that such levels of uncertainty

181:01were not acknowledged.

181:02Instead, people were basically lying in the name of science

181:07and public policy, it wasn't public health,

181:11it was political health, okay?

181:13So something like that, you're just spending

181:14down all the credibility of an institution

181:15for basically nothing, okay?

181:17And so in such a circumstance, what do you do?

181:20Break glass, decentralize.

181:21What does that look like?

181:22Okay, so let me describe what I call cryptoscience

181:28by analogy to crypto, just like there's fiat science,

181:31cryptoscience, right, fiat economics, okay?

181:33So in any experiment, any paper when it comes out, right,

181:38you can sort of divide it into the analog to digital

181:43and the purely digital, okay?

181:44So the analog to digital is you're running some instruments,

181:47you're getting some data, okay?

181:49And then once you've got the data,

181:51you're generating figures and tables and text

181:54and a PDF from that data, right?

181:56Leave aside the data collection step for now,

181:58I'll come back to that, right?

181:59Just the purely digital part,

182:01what does the ideal quote academic paper look like

182:04in 2022, 2023?

182:06First, there's this concept called reproducible research,

182:10okay?

182:12Reproducible research is the idea that the PDF

182:15should be regenerated from the data and code, okay?

182:20So you should be able to hit enter and regenerate it.

182:22Why is this really important as a concept?

§24Transcript · 3:02:24–3:09:57

182:24John Claire Boo and Dave Donahoe at Stanford 20 years ago

182:27pioneered this in stats because the text alone

182:32often doesn't describe every parameter

182:33that goes into a figure or something, right?

182:35You kind of sometimes just need to look at the code

182:37and then it's easy and without that, it's hard, okay?

182:39So reproducible research means you've regenerate the PDF

182:43from the code and the data, you hit enter, okay?

182:47Now, one issue is that many papers out there

182:51in science, nature, et cetera,

182:52are not reproducible research.

182:53Moreover, the data isn't even public.

182:55Moreover, sometimes the paper isn't even public.

182:57The open access movement has been fighting this

182:59for the last 20 something years.

183:00There's various levels of this like green and gold,

183:02open access, okay?

183:04So the first step is the code, the data,

183:07and the PDF go on chain, step number one, okay?

183:11The second thing is once you've got,

183:13so you can, anybody who is,

183:14and that could be the Ethereum chain,

183:16it could be its own dedicated chain, whatever, okay?

183:18It could be something where there's just the URLs

183:21are on the Ethereum chain and stored on Filecoin,

183:22many different implementations,

183:23but let's call that on chain broadly, okay?

183:26Not just online, on chain.

183:27When it's on chain, it's public and anybody can get it.

183:30So that's first.

183:31Second is once you've got something

183:33where you can regenerate the code,

183:35or the PDF from the code and the data on chain, guess what?

183:40You can have citations between two papers

183:43turn into import statements.

183:45- Yeah, that's funny.

183:47- That's cool, right?

183:48So now you're not just getting composable finance,

183:51like DeFi, where you have like one interest rate calculator

183:54calling another, you have composable science.

183:57And now you can say this paper on this,

183:59especially in ML, right?

184:01You'll often cite a previous paper in its benchmark

184:04or its method, right?

184:05You're gonna wanna scatter plot sometimes your paper,

184:08your algorithm versus theirs on the same dataset.

184:11That is facilitated if their entire paper

184:15is reproducible research that is generated.

184:18You can just literally import that Python

184:20and then you can generate your figure off of it, right?

184:24Moreover, think about how that aids reproducibility

184:26because you don't have to reproduce in the literal sense,

184:29every single snippet of code that they did,

184:31you can literally use their code, import it, okay?

184:34People start compounding on each other.

184:35It's better science, okay?

184:37Now I talked about this, but actually there's a few folks

184:39who have been actually building this.

184:41So there's usescholar.org,

184:45which actually has a demo of this,

184:46like just a V1 kind of prototype

184:48where it shows two stats papers on chain

184:52and one of them is citing the other

184:55with an import statement.

184:56There's also a thing like called I think dsci.com,

184:58which is trying to do this, right?

184:59Decentralized science.

185:01So this itself changes how we think about papers.

185:04And actually, by the way,

185:06the inspiration for PageRank was actually citations.

185:10It was like the impact factor out of academia.

185:12That's where Larry Page and Sergey Brin

185:13got the concept out of, right?

185:15So now you've got a web of citations

185:18that are import statements on chain.

185:20In theory, you could track back a paper

185:22all the way back to its antecedents, okay?

185:25So if it's citing something,

185:26you can now look it up and look it up and look it up.

185:29And a surprising number of papers actually,

185:33you know, their antecedents don't terminate

185:35or the original source says something different

185:38or it just kind of got garbled like a telephone game.

185:40And, you know, there's this famous thing on like the spinach,

185:45like it does actually have iron in it

185:47or something like that.

185:48I forget the details on this story,

185:50but it was something where you track back the citations

185:52and people are contradicting each other, okay?

185:54But it's just something that just gets copy pasted

185:56and it's a fact that's not actually a fact

185:57'cause it's not audited properly.

185:59This allows you to cheaply audit, in theory,

186:02all the way back to Maxwell or Newton

186:04or something like that, okay?

186:05Now, what I'm describing is a big problem,

186:07but it's a finite problem.

186:09It's essentially taking all the important papers

186:12and putting them on chain.

186:13It's about the scale of, let's say, Wikipedia, okay?

186:15So it's like, I don't know, a few hundred thousand,

186:17a few million papers.

186:18I don't know the exact number,

186:19but it'll be out of that level, okay?

186:20So now you've got, number one,

186:22these things that are on chain, okay?

186:24Number two, you've turned citations into import statements.

186:28Number three, anybody can now, at a minimum,

186:31download that code.

186:33And while they may not have the instruments,

186:35and I'll come back to that point,

186:36while they may not have the instruments,

186:37they can do internal checks,

186:38the Benford's Law stuff we were just talking about.

186:41You can internally check the consistency

186:43of these tables and graphs,

186:44and often you'll find fraud

186:46or things that don't add up that way,

186:47'cause all the code and the data is there, right?

186:50And now you've made it so that anybody in Brazil,

186:54in India, in Nigeria, they may not have an academic,

186:56you know, like a library access,

186:58but they can get into this, all right?

187:00Now, how do you fund all of this?

187:02Well, good thing is crypto actually allows tools

187:05for that as well.

187:06Andrew Huberman and others have started doing things

187:07like with NFTs to fund their lab.

187:10I can talk about the funding aspect.

187:12There's things like researchhub.com,

187:14which are trying to issue tokens for labs,

187:16but a lab isn't that expensive to fund.

187:18Maybe it's a few hundred thousand, a few million a year,

187:20depending on where you are.

187:21Crypto does generate money.

187:23And so you can probably imagine various tools,

187:25whether it's tokens or NFTs

187:26or something like that to fund.

187:28Finally, what this does is it is not QAnon, right?

187:33It is not saying don't trust anybody.

187:36Neither is it just trust

187:37the centralized academic establishment.

187:39Instead it's saying trust because you can verify,

187:43because we can download things and run them.

187:45The crucial thing that I'm assuming here

187:47is the billions of supercomputers around the world

187:50that we have, all the MacBooks and iPhones

187:52that can crank through lots and lots of computation.

187:54So everything digital, we can verify it locally, okay?

187:58Now, there's one last step,

188:00which is I mentioned the instruments, right?

188:02Whether it's your sequencing machine

188:04or your accelerometer or something like that

188:06is generating the data that you are reporting in your paper

188:09when you put it on chain, okay?

188:11Basically you think of that as the analog digital interface.

188:14We can cryptify that too, why?

188:16For example, an Illumina sequencing machine

188:19has an experiment manifest.

188:21And when that's written to,

188:24there's a website called NCBI,

188:26National Center for Biotechnology Information.

188:28You can see the experiment metadata

188:31on various sequencing runs.

188:32It'll tell you what instrument and what time it was run

188:35and who ran it and so on and so forth, okay?

188:39What that does is it allows you to correct

188:40for things like batch effects.

188:41Sometimes you will sequence on this day and the next day

188:44and maybe the humidity or something like that

188:46makes it look like there's a statistically significant

188:48difference between your two results,

188:50but it was just actually batch effects, okay?

188:52What's my point?

188:54Point is, if you have a crypto instrument,

188:57you can have various hashes and stuff of the data

189:00as a chain of custody for the data itself

189:02that are streamed and written on chain

189:05that the manufacturer can program into this.

189:07For anything that's really, and you might say,

189:08"Oh boy, boy, that's overkill," right?

189:10I'm saying actually not.

189:11You know why?

189:12If you're doing a study whose results

189:14are going to be used to influence a policy

189:16that's gonna control the lives of millions of people,

189:19every single step has to be totally audible.

189:21You need the glass box model.

189:23You need to be able to go back to the raw data.

189:25You need to be able to interrogate that.

189:27And again, anybody who's a good scientist

189:31will embrace this, right?

189:33- Yeah, so first of all, that was a brilliant exposition

189:36of a future of science that I would love to see.

189:39The pushback I'll provide, which is not really a pushback,

189:42is like what you describe is so much better

189:46than what we currently have that I think

189:50a lot of people would say any of the sub-steps

189:54you suggest are already going to be a huge improvement.

189:57So even just sharing the code.

§25Transcript · 3:10:01–3:18:18

190:01- Yes.

190:01- Or sharing the data.

190:03You said, I think it would surprise people how often--

190:08- It's hard to get data.

190:09- It is, like the actual data or specifics

190:12or a large number of the parameters,

190:14not you'll share like one or two parameters

190:17that were involved with running the experiment.

190:20You won't mention the machines involved,

190:23except maybe at a high level, but the versions and so on.

190:27The dates when the experiments were run,

190:29you don't mention any of this kind of stuff.

190:31So there's several ways to fix this.

190:35And one of them, I think, implied in what you're describing

190:40is a culture that says it's not okay.

190:45- Exactly.

190:46- To like, so first of all, there should be,

190:48even if it's not perfectly unchained

190:51to where you can automatically import all the way to Newton,

190:54just even the act of sharing the code, sharing the data,

191:01maybe in a way that's not perfectly integrated

191:04into a larger structure is already a very big positive step.

191:09- Yeah.

191:10- I'm saying like, if you don't do this,

191:12then this doesn't count.

191:15And because in general, I think my worry,

191:20as somebody who's a programmer, who's OCD,

191:25I love the picture you paint

191:27that you can just import everything

191:28and it automatically checks everything.

191:30My problem is that makes incremental science easier

191:35and revolutionary science harder.

191:37- Oh, I actually very much disagree with that.

191:39- I would love to hear your argument.

191:40Let me just kind of elaborate.

191:42- Sure, sure.

191:42- Why, sometimes you have to think

191:46in this gray area of fuzziness

191:49when you're thinking in totally novel ideas

191:51and when you have to concretize in data.

191:54Like some of the greatest papers ever written

191:56are to don't have data.

191:57They're in the space of ideas almost.

191:59Like you're kind of sketching stuff

192:01and there could be errors,

192:02but like Einstein himself with the famous five papers,

192:05I mean, they're really strong, but they're fuzzy.

192:08They're a little bit fuzzy.

192:10And so I think, even like the Gann paper,

192:15you're often thinking of like new data sets, new ideas.

192:19And I think maybe as a step after the paper is written,

192:24you could probably concretize it,

192:25integrate it into the rest of science.

192:27- Sure.

192:28- Like you shouldn't feel that pressure, I guess, early on.

192:30- Well, I mean, there's different,

192:33each of the steps that I'm talking about, right?

192:35There's like the data being public and everything.

192:38Just having the paper being public, that's like V1, right?

192:41Then you have the thing being regenerated from code and data,

192:44like the PDF being regenerated from code and data.

192:46Then you have the citations as import statements.

192:49Then you have the full citation graph

192:50as an import statement.

192:51So you just follow it all the way back, right?

192:53And now you have, that gives you audibility.

192:57Then you have the off-chain,

193:00you know, the analog digital crypto custody, right?

193:02Like where you're hashing things and streaming things.

193:04So you have the chain of custody.

193:06Each of those is kind of like a level up

193:08and adds to complexity,

193:09but it also adds to the audibility and the verifiability

193:12and the reproducibility.

193:13But, you know, one thing I'd say,

193:15I wanted to respond to that you said was

193:18that you think this would be good for incremental,

193:20but not innovative.

193:20Actually, I think it's quite the opposite.

193:22I think academia is institutional and it's not innovative.

193:26For example, NIH has this graph,

193:28which is like, I think it's age of recipients

193:31of R01 grants, okay?

193:33And what it shows is basically it's like a hump

193:36that moves over time,

193:37roughly plus one year forward for the average age

193:41as the year moves on, okay?

193:43I'll see if I can find the GIF.

193:44What this, why is this?

193:46Let me see if I can find it actually.

193:48Look at this movie just for a second.

193:49It's a ridiculously powerful movie and it's 30 seconds.

193:52I just sent it in, WhatsApp.

193:53The name of the video is "Age Distribution

193:56of NIH Principal Investigators and Medical School Faculty."

194:00And it starts out on the X-axis is age

194:03with the distribution and percent of PIs.

194:06And from early 1980s, moving one year at a time.

194:11And the mean of the distribution is moving slowly,

194:15approximately as Belagio said, about one year.

194:19- Per year.

194:20- Per year.

194:21- And this is 10 years ago.

194:22One year in age per year of time.

194:25- And notice how, first of all,

194:27the average age is moving way upward

194:29before you become an NHPI.

194:32Second is, it's a cohort of guys, people,

194:36who are just awarding grants to each other.

194:38That's clearly what's happening.

194:40That's the underlying dynamic.

194:42They're not awarding grants to folks who are much younger,

194:45because those folks haven't proven themselves yet.

194:47So this is what happens when you get prestigious citation

194:50rather than independent replication.

194:52The age just keeps creeping up.

194:54And this was 10 years ago, and it's gotten even worse.

194:56It's become even more gerontocratic,

194:57even more hidebound, right?

194:59And so the thing is, the structures

195:01that Vannevar Bush and others set up,

195:03the entire post-war science establishment,

195:05one thing I'll often find is people will say,

195:08"Baljeet, the government hath granted us the internet

195:13and self-driving cars and space flight and so on.

195:18How can you possibly be against the US government,

195:21kneel and repent for its bounty?"

195:24And really, the reason they kind of,

195:26they don't say it quite in that way,

195:27but that's really the underpinning kind of thing,

195:29because they've replaced GOD with GOV.

195:32They really think of the US government as God.

195:34The conservative will think of the US government

195:36as the all-powerful military abroad,

195:39and the progressive will think of it

195:40as the benign, all-powerful, nurturing parent at home.

195:45But in this context, they're like,

195:48"How come you as some tech bro could possibly think

195:52you could ever do basic science

195:55without the funding of the US government?

195:56Has it not developed all basic science?"

195:59And the answer to this is actually to say,

196:01"Well, what if we go further back than 1950?

196:03Did science happen before 1950?"

196:05Well, I think it did.

196:06Bernoulli and Maxwell and Newton,

196:09were they funded by NSF?

196:11No, they weren't.

196:12Were aviation, railroads, automobiles,

196:14gigantic industries that arose,

196:17and both were stimulated by

196:19and stimulated development of pure science?

196:21Did they, were they funded by NSF?

196:23No, they were not.

196:24Therefore, NSF is not a necessary condition

196:28for the presence of science,

196:29neither is even the United States.

196:30Obviously, a lot of these discoveries,

196:32Newton was before, I believe he was before the American,

196:36hold on, let me just find the exact,

196:38it's actually less old than people think.

196:41Okay, so Newton died 1727.

196:43So I knew that it was in the 1700s.

196:47So Newton was before the American Revolution, right?

196:51Obviously, that meant huge innovations could happen

196:54before the US government, before NIH, before NSF, right?

196:58Which means they are not a necessary condition, number one.

197:02That itself is crucial because a lot of people say,

197:04"The government is necessary for basic science."

197:07It is not necessary for basic science.

197:09It is one possible catalyst.

197:12And I would argue that mid-century, it was okay,

197:15because mid-century was the time when,

197:17the middle of the centralized century.

197:201933, 1945, 1969, you have Hoover Dam,

197:23you have the Manhattan Project, you have Apollo.

197:25That generation was acclimatized

197:28to a centralized US government

197:30that could accomplish great things,

197:31probably because technology favored centralization

197:34going into 1950 and then started favoring decentralization

197:36going out of it.

197:37I've talked about this in the book,

197:38Sovereign Individual has talked about this,

197:40but very roughly, you go up into 1950

197:44and you have mass media and mass production

197:47and just centralization of all kinds,

197:49giant nation states slugging it out on the world stage.

197:51And you go out in 1950 and you get cable news

197:54and personal computers and the internet

197:57and mobile phones and cryptocurrency,

197:58and you have the decentralization.

198:00And so this entire centralized scientific establishment

198:04was set up at the peak of the centralized century.

198:07And it might've been the right thing to do at that time,

198:09but is now showing its age.

198:11And it's no longer actually geared up for what we have.

198:13Where are the huge innovations coming out of?

198:14Well, Satoshi Nakamoto was not, to our knowledge,

198:18a professor, right?

§26Transcript · 3:18:20–3:26:15

198:20That's this revolutionary thing that came outside of it.

198:23Early in the pandemic,

198:24there was something called project-evidence.github.io,

198:28which accumulated all of the evidence

198:30for the coronavirus possibly having been a lab leak,

198:34when that was a very controversial thing to discuss.

198:37Alina Chan, to her credit,

198:38Matt Ridley and Alina Chan have written this book

198:41on whether the coronavirus was a lab leak or not.

198:45I think it's plausible that it was.

198:47I can't say I'm 100% sure,

198:50but I think it's at least,

198:50it certainly, it is a hypothesis worthy of discussion.

198:53Okay?

198:54Though, of course, it's got political overtones.

198:56Point being that the pseudonymous online publication

198:59at project-evidence.github.io

199:01happened when it was taboo to do so.

199:03So we're back to the age of pseudonymous publication

199:06where only the arguments can be argued with.

199:10The person can't be attacked.

199:12Okay?

199:13This is actually something that used to happen in the past.

199:14Like, you know, someone,

199:17there's a famous story where Newton solved a problem

199:19and someone said, "I know the lion by his claw,"

199:21or something like that, right?

199:22People used to do pseudonymous publication in the past

199:24so that they would be judged on part

199:25by their scientific ideas

199:27and not the person themselves, right?

199:29And so, I do disagree that this is the incremental stuff.

199:34This is actually the innovative stuff.

199:35The incremental stuff is gonna be

199:36the institutional gerontocracy that's academia,

199:39where it's like, you know, do you know who I am?

199:41I'm a Harvard professor.

199:43- Yeah, I don't, I think I agree with everything you said,

199:46but I'm not gonna get stuck on technicalities

199:51because I think I was referring to your vision

199:56of data sets and importing code.

199:59- Sure.

200:00- And so that forces just knowing how code works,

200:03it forces a structure,

200:04and structure usually favors incremental progress.

200:08Like, if you fork code,

200:11you're not going to, it decentrifies revolution.

200:16You want to go from scratch.

200:20- Okay, so I understand your point there, okay?

200:23And I also agree that some papers,

200:25like Francis Crick on the Klaustrum,

200:27or others are theoretical.

200:28They're more about like where to dig than the data itself,

200:31and so on and so forth, right?

200:32So, I agree with that.

200:33Still, I don't, the counterargument is,

200:37rather than a thousand people reading this paper

200:39to try to rebuild the whole thing and do it with errors,

200:44when they can just import,

200:45they can more easily build upon what others have done, right?

200:48- Oh yeah, yeah, yeah.

200:49So the paper should be forkable.

200:51- Well, yeah, yeah.

200:52So here's why, you know, like,

200:53Python has this concept of batteries included

200:56for the standard library, right?

200:57Because it lets you just import, import, import,

201:00and just get to work, right?

201:01That means you can fly.

201:03Whereas if you couldn't do all those things,

201:05and you had to rewrite string handling,

201:06you would only be able to do incremental things.

201:08Libraries actually allow for greater innovation.

201:11That's my counter.

201:11- I think you create, I think that paints a picture.

201:15I hope that's a picture that fits with science.

201:18It certainly does.

201:19It fits with code very well.

201:21I just wonder how much of science can be that,

201:24which is you import, how much of it is possible to do that?

201:28Certainly for the things I work on, you can,

201:31which is the machine learning world,

201:32all the computer science world.

201:35But whether you can do that for, all right,

201:37you can think biology, it seems to, yes, I think so.

201:42Chemistry, I think so.

201:44And then you start getting into weird stuff like psychology,

201:47which some people don't even think is a science.

201:50No, just love for my psychology friends.

201:53I think as you get farther and farther away

201:57from things that are like hard technical fields,

202:02it starts getting tougher and tougher and tougher

202:04to have like importable code.

202:07- Okay, so let me give the strong form version, right?

202:11So there's a guy who I think is a great machine learning guy,

202:15creator of actually Keras,

202:17who he disagrees with me on Francois Chalut.

202:19- Yeah, he's been on this podcast twice.

202:20- Okay, great.

202:21So he disagrees-

202:22- I disagree with him on a lot of stuff.

202:23- Yes, me too.

202:24I think we have mutual respect.

202:26You know, follow each other on Twitter, whatever.

202:28- I think, yes, I think he does respect and like you.

202:31- Here's something which I totally agree with him on.

202:33And he actually got like trolled or attacked for this,

202:35but I completely agree.

202:36Within 10, 20 years,

202:37nearly every branch of science will be,

202:39for all intents and purposes, a branch of computer science.

202:41Computational physics, computational chemistry,

202:43computational biology, computational medicine,

202:45even computational archeology,

202:46realistic simulations, big data analysis,

202:48and ML everywhere.

202:49That to me is incredibly obvious why.

202:51First of all, all we're doing every day

202:54is PDFs and data analysis on a computer, right?

202:58And so every single one of those areas

202:59can be reduced to the analog to digital step,

203:02and then it's all digital.

203:03Then you're flying, you're in the cloud, right?

203:04- Did he put a date?

203:05Did he say how long or--

203:07- 10 to 20 years, he was saying.

203:08- 10, 20 years.

203:08- I mean, arguably it's already there, right?

203:10And here's the thing.

203:12You were saying, well, you know,

203:14you might drop off when you hit psychology or history.

203:16Actually, I think it's the softer sciences

203:21that are gonna harden up.

203:22Why?

203:24One of the things I talk about a lot in the book is,

203:26for example, with history,

203:27the concept of crypto history makes history computable.

203:31One way of thinking about it is,

203:32remember my Britney Spears example, right?

203:34Where Queen Britney, right?

203:36Okay, so at first it's kind of a funny thing to say

203:39a computer scientist's term for history is the log files,

203:42until we realized that what would a future historian,

203:45how would they write about the history of the 2010s?

203:48Well, a huge part of that history occurred

203:52on the servers of Twitter and Facebook.

203:55So now you go from like a log file,

203:57which is just the individual record

203:58of like one server's action,

204:00to a decade worth of data on literally billions of people.

204:05All of their online lives, like arguably,

204:09that's why I say that's like actually

204:11what the written history was of the 2010s

204:13was this giant digital history.

204:15As you go to the 2020s and the 2030s,

204:17more of that is gonna move from merely online to on chain

204:22and then cryptographically verifiable.

204:23So that soft subject of history becomes something

204:26that you can calculate things like Google trends

204:28and Ngrams and stuff like that.

204:30- Yes, beautifully put.

204:31Then I would venture to say that Donald Trump

204:35was erased from history when he was removed from Twitter

204:40and many social platforms and all his tweets were gone.

204:44- I think it's someone who has an archive of it,

204:47but yeah, I understand your point.

204:49- Yeah, well, as the flood of data

204:51about each individual increases censorship,

204:54it becomes much more difficult

204:56to actually have an archive of stuff.

204:58But yes, for important people

204:59like a president of the United States, yes.

205:02Let me on that topic ask you about Trump.

205:06You were considered for a position as FDA commissioner

205:09in the Trump administration.

205:11And I think in terms of the network state,

205:17in terms of the digital world,

205:20one of the seminal acts in the history of that

205:24was the banning of Trump from Twitter.

205:27Can you make the case for it and against it?

205:30- Sure, so first let me talk about the FDA thing.

205:32So I was considered for a senior role at FDA,

205:36but I do believe that, and this is a whole topic,

205:38we can talk about the FDA.

205:40I do believe that just as it was easier to create Bitcoin

205:44than to reform the Fed,

205:46reforming the Fed basically still hasn't happened.

205:48So just as it was easier to create Bitcoin

205:51than to reform the Fed,

205:52it will literally be easier to start a new country

205:55than to reform the FDA.

205:57It may take 10 or 20 years.

205:59I mean, think about Bitcoin,

206:00it's only about 13 years old, right?

206:02It may take 10 or 20 years to start a new network state

206:05with a different biomedical policy.

206:07But that is how we get out from

206:09this perhaps the single worst thing in the world,

206:12which is harmonization, regulatory harmonization.

206:15- Can you describe regulatory harmonization?

§27Transcript · 3:26:18–3:33:35

206:18- Regulatory harmonization is the mechanism

206:21by which US regulators impose the need

206:26their regulations on the entire world.

206:28So basically you have a monopoly by US regulators.

206:32This is not just the FDA, it is SEC and FAA

206:36and so on and so forth.

206:37And for the same reason that a small company

206:40will use Facebook login,

206:42they will outsource their login to Facebook.

206:45A small country will outsource their regulation to the USA.

206:48Okay, with all the attendant issues,

206:50because I mean, you know the names of some politicians.

206:55Can you name a single regulator at the FDA?

206:57No, right?

206:58Yet they will brag on their website that they regulate,

207:01I forget the exact numbers,

207:01I think it's like 25 cents out of every dollar,

207:03something along those lines, okay?

207:05It's like double digits, okay?

207:06That's a pretty big deal.

207:08And the thing about this is,

207:10people will talk about quote, our democracy and so on.

207:12But many of the positions in quote, our democracy

207:15are actually not subject to democratic accountability.

207:18You have tenured professors

207:20and you have tax exempt colleges.

207:22You have the Salzburgers, the New York Times

207:24who have dual class stock.

207:25You have a bunch of positions

207:29that are out of the reach of the electorate.

207:30And that includes regulators who have career tenure

207:33after just a few years of

207:35not necessarily even continuous service.

207:37So they're not accountable to the electorate.

207:39They're not named by the press.

207:41And they also aren't accountable to the market

207:45because you've got essentially uniform global regulations.

207:48Now, the thing about this is,

207:50it's not just a government thing.

207:51It's a regulatory capture thing.

207:53Big pharma companies like this as well.

207:55Why?

207:56Because they can just get their approval in the US

207:58and then they can export to the rest of the world.

208:00I understand where that comes from as a corporate executive.

208:02It's such a pain to get access in one place.

208:04So there's a team up though,

208:06between the giant company and the giant government

208:09to box out all the small startups

208:11and all the small countries and lots of small innovation.

208:14There are cracks in this now.

208:16The FDA did not acquit itself well during the pandemic.

208:19For example, it denied, I mean, there's so many issues,

208:21but one of the things that even actually

208:23New York Times reported,

208:25the reason that people thought there were no COVID cases

208:27in the US early in the pandemic

208:29was because the FDA was denying people

208:31the ability to run COVID tests.

208:33And the emergency use authorization was,

208:36emergency should mean like right now, right?

208:38But it was not, it was just taking forever.

208:41And so some labs did civil disobedience

208:44and they just disobeyed the FDA

208:45and just went and tested academic labs

208:48with threat of federal penalties.

208:50'Cause that's what they are.

208:50They're like the police, okay?

208:53And so we're sort of retroactively granted immunity

208:57because NYT went and ran a positive story on them.

209:00So NYT's authority is usually greater than that of FDA.

209:02If they come into a conflict, NYT runs stories,

209:04then FDA kind of gets spanked, right?

209:07And it's not, probably neither party

209:09would normally think of themselves that way.

209:11But if you look at it,

209:12when NYT goes and runs stories on a company,

209:14it names all the executives and they get all hit.

209:17When it runs stories on a regulator,

209:19it just treats the regulator usually

209:21as if it was just some abstract entity.

209:23It's Zuckerberg's Facebook, but you can't name,

209:25the people who the career bureaucrats at FDA.

209:28Interesting, right?

209:28- It's very interesting.

209:29- It's a very important point.

209:30Like that person who's like named

209:32and their face is known.

209:34Like you, just as an example,

209:35you know Zuckerberg's face and name.

209:37Most people don't know Arthur G. Sulzberger.

209:39They couldn't recognize him, right?

209:40Yet he's a guy who's inherited the New York Times company

209:42from his father's father's father.

209:43That is unaccountable power.

209:44It's not that they get great coverage,

209:46it's that they get no coverage.

209:47You don't even think about them, right?

209:49And so it's invisibility, right?

209:52- There's some aspect why Fauci was very interesting.

209:55- 'Cause he was a public face.

209:56- In my recent memory, there's not been many faces

210:01of scientific policy, of science policy.

210:03- Yeah.

210:04- And he became the face of that.

210:05And you know, as there's some of his meme,

210:09which is basically saying that he is science

210:12or to some people represents science.

210:14But in the--

210:15- Or quote unquote science or whatever, yeah.

210:17The positive aspect of that is that there is accountability

210:19when there's a face like that.

210:20- Right, but you can also see the Fauci example shows you

210:23why a lot of these folks do not want to be public

210:25because they enter a political and media minefield.

210:28I'm actually sympathetic to that aspect of it.

210:30What I'm not sympathetic to is the concept that in 2022,

210:35that the unelected, unfireable, anonymous American regulator

210:40should be able to impose regulatory policy

210:42for the entire world.

210:43We are not the world of 1945.

210:46It is not something where these other countries

210:48are even consciously consenting to that world.

210:50Just as give an example,

210:52there's a concept called challenge trials, okay?

210:54The Moderna vaccine was available very, very early

210:59in the pandemic.

211:00You can just synthesize it from the sequence.

211:02And challenge trials would have meant that people

211:05who are healthy volunteers, okay?

211:08They could have been soldiers, for example, of varying ages

211:10who are there to take a risk their lives

211:13for their country potentially, okay?

211:14It could have been just healthy volunteers,

211:15not necessarily soldiers, just patriots of whatever kind

211:18in any country, not just the US.

211:19But those healthy volunteers could have gone.

211:22And at the early stages of the pandemic,

211:24we didn't know exactly how lethal it was gonna be

211:26because Li Wenliang and 30-somethings in China

211:30were dying from this.

211:31It seemed like it could be far worse.

211:33- How lethal the virus would be.

211:35- Yeah, it may be, by the way,

211:37that those who are the most susceptible to the virus

211:40died faster earlier.

211:42It's as if you can imagine a model

211:44where those who were exposed

211:47and had the lowest susceptibility

211:49also had the highest severity

211:50and died in greater numbers early on.

211:52If you look at the graph,

211:53like deaths from COVID were exponential

211:55going into about April 2020

211:57and then leveled off to about 7,500, 10,000 a day

212:00and then kind of fell, right?

212:02But it could have gone to 75,000 at the beginning.

212:04So we didn't know how serious it was.

212:05So this would have been a real risk

212:06that these people would have been taking,

212:07but here's what they would have gotten for that.

212:09Basically, in a challenge trial,

212:11somebody would have been given the vaccine

212:14and then exposed to the virus

212:16and then put under observation.

212:19And then that would have given you all the data

212:22'cause ultimately the synthesis of the thing,

212:24I mean, yes, you do need to scale up synthesis

212:26and manufacturing and what have you,

212:28but the information of whether it worked or not

212:31and was safe and effective,

212:32like that could have been gathered expeditiously

212:35with volunteers for challenge trials.

212:36- And you think there'd be a large number of volunteers?

212:38- Absolutely.

212:39- What's the concern there?

212:40Is there an ethical concern of taking on volunteers?

212:44- Well, so let me put it like this.

212:46Had we done that, we could have had vaccines early enough

212:51to save the lives of like a million Americans,

212:53especially seniors and so on, okay?

212:55Soldiers and more generally first responders and others,

212:59I do believe there's folks who would have stepped up

213:03to take that risk.

213:04- The heroes walk among us.

213:06- Yeah, that's right.

213:07Like if military service is something

213:09which is ritualized thing, people are paid for it,

213:12but they're not paid that much.

213:14They're really paid in honor and in duty and patriotism.

213:18That is actually the kind of thing

213:19where I do believe some fraction of those folks

213:22would have raised their hand for this important task.

213:25I don't know how many of them,

213:26but I do think that volunteers would have been there.

213:28There's probably some empirical test of that,

213:30which is there's a challenge trials website.

213:32There's a Harvard prof who put out this proposal

213:34early in the pandemic

213:35and he could tell you how many volunteers he got.

§28Transcript · 3:33:38–3:41:47

213:38But something like that could have just shortened

213:42the time from pandemic to functional vaccine, right?

213:47To days even, if you'd actually really act on it.

213:51The fact that that didn't happen

213:53and that the Chinese solution of lockdown,

213:55that actually, at the beginning,

213:56people thought the state could potentially stop the virus,

213:59stop people in place.

214:00It turned out to be more contagious than that.

214:02Basically no NPI, no non-pharmaceutical intervention

214:05really turned out to work that much, right?

214:08And actually at the very beginning of the pandemic,

214:09I said something like, look,

214:11it's actually February 3rd, about a month before people,

214:14I was just watching what was going on in China.

214:15I saw that they were doing digital quarantine,

214:18like using WeChat codes to block people off and so on.

214:21I didn't know what was gonna happen, but I said, look,

214:23if the coronavirus goes pandemic and it seems it may,

214:26the extreme edge case becomes the new normal.

214:28It's every debate we've had on surveillance,

214:30deplatforming and centralization accelerated.

214:32Pandemic means emergency powers for the state,

214:35even more than terrorism or crime.

214:38And sometimes a solution creates the next problem.

214:40My rough forecast of the future,

214:41the coronavirus results in quarantines,

214:43nationalism, centralization.

214:45And this may actually work to stop the spread,

214:48but once under control,

214:49states will not see their powers, so we decentralize.

214:52And I didn't know whether it was gonna stop the spread,

214:55but I knew that they were gonna try to do it, right?

214:57And look, it's hard to call every single thing right,

215:01and I'm sure someone will find some errors,

215:03but in general, I think that was actually pretty good

215:05for like early February of 2020, right?

215:08So it's my point though.

215:09The point is, rather than copying Chinese lockdown,

215:13we should have had were different regimes around the world.

215:16To some extent, Sweden defected from this, right?

215:19They had like no lockdowns or what have you.

215:21But really the axis that people were talking about

215:23was lockdown versus no lockdown.

215:25The real axis should have been challenge trials

215:28versus no challenge trials.

215:29We could have had that in days, okay?

215:31And those are two examples on both vaccines and testing.

215:35There's so many more that I can point to.

215:37- So those are kind of decentralized innovations,

215:40and that's what FDA should stand for.

215:42- FDA can stand for it.

215:44- Or something like FDA, right?

215:45- Ah, so let's talk about that, right?

215:46Something like FDA.

215:47So this is very important.

215:49In general, the way I try to think about things is V1, V2,

215:53V3, as we've talked about a few times.

215:55- Right, so FDA, V.

215:57- Well, right, so what was before FDA, right?

215:59So there was both good and bad before FDA,

216:01'cause people don't necessarily have

216:02the right model of the past, okay?

216:04So if you ask people what was there before the FDA,

216:06they'll say, "Oh, and by the way,

216:08"the FDA itself omits the, right?

216:11"Their pronouns are just FDA, FDA."

216:14Okay, so, but basically-

216:17- Why is that important?

216:18- It's just something where-

216:20- Well, why is that either humorous or interesting to you?

216:24- They have a sort of in-group lingo

216:27where when you are kind of talking about them

216:30the way that they talk about themselves,

216:33it is something that kind of piques interest.

216:35It's kind of like, you know, in LA,

216:37people say the 101 or the, you know, right?

216:40Whereas in Northern California, they'll say 101.

216:42Or people from Nevada will say Nevada, right?

216:46It just instantly marks you as like insider or outsider,

216:48okay, in terms of how the language works, right?

216:51And that's, go ahead.

216:52- I mean, it just makes me sad,

216:54because that lingo is part of the mechanism

216:56which creates the silo, the bubble of particular thoughts,

217:01and that ultimately deviates from the truth

217:03because you're not open to new ideas.

217:05- I think it's actually like, you know,

217:07in "Glorious Bastards" there's a scene in the bar.

217:09Do you wanna talk about it?

217:10- No, but it's good.

217:12You can't, just to censor you,

217:15this is like a Wikipedia podcast, it's like Wikipedia.

217:17You can't cite Quentin Tarantino films, no.

217:21- Okay, okay, okay.

217:22- Sorry, take me back there.

217:23- Basically, like English start going like

217:25one, two, three, four, five.

217:26And I believe it's like the Germans start with like the thumb

217:30- Something that you'd never know, right?

217:33I may be misremembering it, but I think that's right.

217:35Okay, so that's like--

217:35- FDA's got the lingo, all right.

217:38- Right, so FDA's got the lingo.

217:39So coming back up, basically, just talk about FDA

217:42and then come back to your question on the platform.

217:45- So what was V0, FDA, what's V1?

217:47What does the future look like?

217:49- V1 was quote, patent medicines, okay?

217:52That's something so people say.

217:53But V1 was also Banting and Best, okay?

217:55Banting and Best, they won the Nobel Prize

217:58in the early 1920s, right?

218:00Why?

218:01They came up with the idea for insulin supplementation

218:06to treat diabetes.

218:08And they came up with a concept,

218:09they experimented on dogs, they did self-experimentation,

218:13they had healthy volunteers,

218:14they experimented with the formulation as well, right?

218:16Because just like you'd have like a web app and a mobile app,

218:20maybe a command line app, you could have, you know,

218:22a drug that's administered orally or via injection

218:25or cream or, you know, there's different formulations,

218:27right, dosage, all that stuff,

218:28they could just like iterate on, okay,

218:30with willing doctor, willing patient.

218:33These, you know, these folks who were affected

218:37just sprang out of bed,

218:38the insulin supplementation was working for them.

218:40And within a couple of years,

218:41they had won the Nobel Prize and Eli Lilly

218:43had scaled production

218:44for the entire North American continent, okay?

218:47So that was a time when pharma moved at the speed of software

218:51when it was willing buyer, willing seller, okay?

218:54Because the past is demonized

218:56as something that our glorious regulatory agency

218:58is protecting us from, okay?

219:01But there's so many ways

219:02in which what it's really protecting you from

219:04is being healthy, okay?

219:06As, you know, I mean, there's a zillion examples of this,

219:10I won't be able to recapitulate all of them

219:11just in this podcast,

219:12but if you look at a post that I've got,

219:15it's called "Regulation, Disruption, and the Future,

219:19Technologies of 2013," Coursera PDF, okay?

219:25This lecture, which I'll kind of link it here

219:29so you can maybe put in the show notes if you want,

219:32this goes through like a dozen different examples

219:35of crazy things the FDA did

219:38from the kind of stuff that was dramatized

219:41in Dallas Buyers Club,

219:42where they were preventing people from getting AIDS drugs

219:45to, you know, their, you know, various attacks on,

219:49you know, quote, "raw milk,"

219:52where they were basically saying,

219:53here's a quote from FDA, you know, filing in 2010,

219:58"There's no generalized right to bodily and physical health.

220:02There's no right to consume or feed children

220:04any particular food.

220:05There's no fundamental right to freedom of contract."

220:08They basically feel like they own you.

220:10You're not allowed to make your own decisions

220:12about your food.

220:13There's no generalized right to bodily and physical health,

220:15direct quote from their like written kind of thing, okay?

220:19The general frame is usually that FDA says

220:22it's protecting you from the big bad company,

220:25but really what it's doing is it's preventing you

220:27from opting out, okay?

220:29Now, with that said,

220:30and this is where I'm talking about V3,

220:33as critical as I am of FDA or the Fed for that matter,

220:37I also actually recognize that like the Ron Paul type thing

220:41of end the Fed is actually not practical.

220:44End the Fed will just be laughed at.

220:45What Bitcoin did was a much, much, much more difficult task

220:49of building something better than the Fed.

220:52That's really difficult to do because the Fed and the FDA,

220:55they're like the hub of the current system.

220:57People rely on them for lots of different things, okay?

221:00And you're gonna need a better version of them

221:05and how would you actually build something like that?

221:07So with the Fed and with SEC and the entire,

221:12the banks and whatnot,

221:14crypto has a pretty good set of answers for these things.

221:17And over time, all the countries that are not,

221:21or all the groups that are not the US establishment

221:23or the CCP will find more and more to their liking

221:26in the crypto economy.

221:27So that part I think is going, okay?

221:29We can talk about that.

221:31What does that look like for biomedicine?

221:33Well, first, what does exit the FDA look like, right?

221:36So there actually are a bunch of exits from the FDA already,

221:40which is things like right to try laws, okay?

221:45CLIA labs and laboratory developed tests,

221:47compounding pharmacies, off-label prescription by doctors,

§29Transcript · 3:41:51–3:49:05

221:51and countries that aren't fully harmonized with FDA.

221:53For example, Kobe Bryant, before he passed away,

221:56went and did stem cell treatments in Germany, okay?

221:59Stem cells have been pushed out,

222:01I think in part by the Bush administration,

222:03but by other things.

222:04So those are different kinds of exits.

222:07Right to try basically means at the state level,

222:10you can just try the drug, okay?

222:12CLIA labs and LDTs, that means that's a path

222:17where you don't have to go through FDA

222:18to get a new device approved.

222:19You can just run it in a lab, okay?

222:21Compounding pharmacies, these were under attack.

222:23I'm not sure actually where the current statute is on this,

222:25but this is the idea that a pharmacist has some discretion

222:28in how they prepare mixtures of drugs.

222:31Off-label prescription by MDs.

222:34So MDs have enough weight in the system

222:36that they can kind of push back on FDA.

222:38And off-label prescription is the concept

222:40that a drug that's approved for purpose A

222:41can be prescribed for purpose B or C or D

222:44without going through another whole new drug approval process

222:47and then countries that aren't harmonized, right?

222:49So those are like five different kinds of exits

222:51from the FDA on different directions.

222:54So first those exits exist.

222:55So for those people who are like,

222:56"Oh my God, we're all gonna die

222:58or he's gonna poison us with non-FDA approved things

223:00or whatever," right?

223:02Like those exits exist.

223:04You've probably actually used tests or treatments from those.

223:07You don't even realize that you have, right?

223:09So it hasn't killed you, number one.

223:11Number two is actually testing for safety.

223:14You know, there's safety, efficacy, and like comparative.

223:16Safety is actually relatively easy to test for.

223:19There's very few drugs that are like,

223:22there's TGN-1412, that's a famous example

223:24of something that was actually really dangerous to people,

223:26right, with an early test.

223:28So those do exist, just acknowledge they do exist.

223:30But in general, testing for safety

223:32is actually not that hard to do, okay?

223:34And if something is safe,

223:36then you should be able to try it usually, okay?

223:38Now, what does that decentralized FDA look like?

223:40Well, basically you take individual pieces of it

223:43and you can often turn them into vehicles.

223:46And this is like 50 different startups,

223:49but let me describe some of them.

223:50First, have you gotten any drugs

223:52or something like that recently?

223:53I mean, like prescribed drugs, prescription drugs,

223:55and it was like--

223:56- Now that you clarify, the answer's no.

223:57- Yeah. (laughs)

223:59- Prescribed drugs, no.

224:00- Okay, so--

224:01- Not long, maybe antibiotics a long time ago, maybe.

224:04But no. - All right.

224:05So you know how you have like a,

224:07sort of like a wadded up chemistry textbook,

224:09the package insert that goes into the, right?

224:11- Yes, yes, yes. - Okay.

224:12(laughs)

224:13- It's a wadded up chemistry textbook, I love it.

224:15That's what it is, right?

224:16That's what a terrible user interface,

224:18we don't usually think of it that way.

224:19Why is your user interface so terrible?

224:20That's a web of regulation that makes it so terrible.

224:23And there's actually guys who tried to innovate

224:26just on user interface called, like, Help, I Need Help.

224:29That was like the name of the company a while back.

224:31And it was trying to explain the stuff in plain language.

224:33Okay.

224:35Just on user interface, you can innovate.

224:36And why is it important?

224:37Well, there's a company called PillPack,

224:41which innovated on, quote, the user interface for drugs

224:43by giving people a thing which had like a daily blister pack.

224:47So it's like, here's your prescription

224:50and you're supposed to take all these pills

224:52on the first and second.

224:53And basically, whether you had taken them on a given day

224:57was manifest by whether you had opened it

224:59for that specific day, okay?

225:01This is way better than other kinds

225:03of so-called compliance methodologies.

225:04Like, there are guys who tried to do like an IOT pill

225:07where when you swallow it, it like gives you measurements.

225:09This was just a simple innovation on user interface

225:11that boosted compliance in the sense of compliance

225:14with the drug regimen dramatically, right?

225:16And I think they got acquired or what have you

225:18for a lot of money.

225:19- And hopefully utilized effectively.

225:22- Utilized effectively, right?

225:23- Although sometimes these companies

225:24that do incredible innovation,

225:26it really makes you sad when they get acquired

225:27that that leads to their death, not their scaling.

225:30- Sure.

225:31I mean, they did a lot of other good things,

225:32but this was one thing that they did well, right?

225:34So PillPack just shows what you can get

225:36with improving on user interface.

225:38Why can't, I mean, we get reviews for everything, right?

225:42One thing that, you know, like people have sort of,

225:44in my view, somewhat quoted our context.

225:45They're like, "Oh, biology thinks you should replace

225:47the FDA with the Elkford drugs."

225:48Actually, there's something called phase four, okay,

225:51of the FDA, which is so-called post-market surveillance.

225:54Do you know that that's actually something where,

225:58in theory, you can go and fill out a form

226:01on the FDA website, which basically says,

226:03I've had a bad experience with a drug.

226:07- Not like VAERS, but for drugs.

226:09- Yeah, so it's called MedWatch, right?

226:12And so you can do voluntary reporting,

226:15and you can get a PDF and just upload it, right?

226:20- Is this a government, like is this the .gov?

226:24- Yeah, it's form 3500B.

226:26- I love it.

226:27It's HTML.

226:28It's gonna be from the '90s.

226:31It's gonna have an interface designed by somebody

226:36who's a COBOL/Fortran programmer.

226:39- Right, here we go.

226:40So here we go.

226:41So basically, the 3500B--

226:43- I hope to be proven wrong on that, by the way.

226:46- So 3500B, consumer voluntary reporting.

226:49When do I use this form?

226:50You were hurt or had a bad side effect.

226:52Use a drug which led to unsafe use, et cetera.

226:54The point is, FDA already has a terrible Yelp for drugs.

226:58It has a terrible version of it.

227:00What would the good version look like?

227:01The fact that you've never,

227:01I mean, the fact you have to fill out a PDF

227:03to go and submit a report.

227:04How do you submit a report at Yelp or Uber or Airbnb

227:07or Amazon, you tap, and there's star ratings, right?

227:10So just modernizing FDA 3500B and modernizing phase four,

227:15okay, is a huge thing.

227:18- Is it, can you comment on that?

227:19Is there, what incentive mechanism forces

227:23the modernization of that kind of thing?

227:26- Here's how it would work, or one possible.

227:27- To create an actual Yelp.

227:29- Yeah, here's how that would work, right?

227:31You go to the pharmacy or wherever,

227:36and you hold up your phone

227:37and you scan the barcode of the drug, okay?

227:39What does you see?

227:39Instantly, you see global reports, right?

227:42By the way, because your biology,

227:44your physiology, that's global, right?

227:46Information from Brazil or from Germany or Japan

227:51on their physiological reaction

227:54to the same drug you're taking is useful to you.

227:56It's not like a national boundaries thing.

227:58So the whole nation state model

227:59of only collecting information on by other Americans,

228:02really you want a global kind of thing,

228:03just like Amazon book reviews, that's a global thing.

228:07Other things are aggregate at the global level, okay?

228:09So what you want is to see every patient report

228:14and every doctor around the world on this drug.

228:17That might be really important

228:19to your rare or semi-rare condition.

228:22Just that alone would be a valuable site.

228:24- Who builds that site?

228:25It sounds like something created by capitalism.

228:28It sounds like it would have to be a company.

228:31- Yeah, you can definitely do it.

228:32- But we don't have a world where a company

228:34is allowed to be in charge of that kind of thing.

228:36- Well, I don't know.

228:37- Google Health went down.

228:38It just seems like a lot of the...

228:41- So it depends, right?

228:42Basically, this is why you have

228:43to pick off individual elements, right?

228:45There's essentially a combination of first recognizing

228:48that DFT is actually bad.

228:50You need to be able to say that.

228:52Let me put it like this.

228:53It does a lot of bad things.

228:54It is something which you need to be able to criticize.

228:57You might be like, "Well, that's obvious," right?

228:59Well, in 2010, for example, there's a book that came out,

229:02if anybody wants to understand FDA,

229:04it's called "Reputation and Power."

229:05- Yeah, a lot of people don't wanna criticize FDA.

§30Transcript · 3:49:08–3:56:44

229:08- Yeah, because they will retaliate

229:09against your biotech or pharma company.

229:11- Yeah, and that retaliation can be initiated

229:13by a single human being.

229:15- Absolutely.

229:15The best analogy is, you think about the TSA, okay?

229:19Have you flown recently?

229:20- Yeah. - Okay.

229:21Do you make any jokes about the TSA

229:23when you're in the TSA line?

229:24- Usually you don't want to,

229:26but they're a little more flexible.

229:28You know what, can I tell a story?

229:29- Sure. - Which is,

229:31it was similar to this.

229:33I was in Vegas at a club.

229:36I don't go to clubs.

229:37I got kicked out for the,

229:39I think the first time in my life,

229:41for making a joke with a bouncer.

229:43'Cause I had a camera with me,

229:46and you're not allowed to have a camera,

229:48and I said, "Okay, cool, I'll take it out."

229:52But I made a funny joke that I don't care to retell.

229:55But he was just a little offended.

229:57He was like, "I don't care who you are.

229:59"I don't care who you're with."

230:01And then he proceeded to list me,

230:04the famous people he has kicked off that club.

230:07But there is, I mean, all of those,

230:10the reason I made the joke is I sensed

230:13that there was an entitlement to this particular individual,

230:17like where the authority has gone to his head.

230:19- Respect my authority. - Yeah.

230:21I almost wanted to poke at that.

230:23And I think the poking, the authority,

230:25I quickly learned the lesson.

230:26I have now been rewarded with the pride I feel

230:31for having poked authority,

230:32but now I'm kicked out of the club

230:35that would have resulted in a fun night

230:37with friends and so on.

230:38Instead, I'm standing alone crying in Vegas,

230:41which is not a unique Vegas experience.

230:42It's actually a fundamental Vegas experience.

230:45But that, I'm sure, that basic human nature

230:48happens in the FDA as well.

230:49- That's exactly right.

230:50So just like with the TSA, just to extend the analogy,

230:54when you're in line at the TSA, right?

230:57You don't wanna miss your flight.

230:58That could cost you hundreds of dollars.

231:00And so you comply with absolutely ludicrous regulations

231:03like, oh, three ounce bottles.

231:05Well, you know what?

231:06You can take an unlimited number of three ounce bottles

231:08and you can combine them into a six ounce bottle

231:11through the terrorist technology called mixing.

231:13Okay, advanced, right?

231:15And the thing about this is everybody in line,

231:19actually some fairly high, let's say,

231:22call it influence or net worth or whatever, people fly.

231:25Millions and millions and millions of people are subject

231:28to these absolutely moronic regulations.

231:30It's all what I think security theater is Shryer's term.

231:35A lot of people know this term.

231:36So millions of people are subject to it.

231:38It costs untold billions of dollars in terms of delays

231:42and what if you just walk up to, right?

231:43It irradiates people.

231:46And this is another FDA thing, by the way.

231:47This is an FDA-TSA team up, okay?

231:49In 2010, the TSA body scanners,

231:52there were concerns expressed,

231:53but when it's a government to government thing,

231:56see a dot com is treated with extreme scrutiny by FDA,

231:58but it's another dot gov,

231:59well, they're not trying to make a profit.

232:00So they kind of just wave them on through, okay?

232:03So these body scanners were basically like applied

232:06to millions and millions of people

232:08and this huge kind of opt-in experiments.

232:10Almost, I think it's quite likely by the way,

232:12that if there was even a slightly increased cancer risk,

232:16that the net morbidity and mortality

232:19from those would have outweighed the deaths from terrorism

232:21or whatever that were prevented, right?

232:23You can work out the numbers,

232:24but you can just get the math under reasonable assumptions,

232:26it's probably true.

232:27If it had any increased morbidity and mortality.

232:29I've not seen the recent things,

232:30but I've seen that concern expressed 12 years ago.

232:33Point being that despite the cost,

232:37despite how many people are exposed to it,

232:39despite how obviously patently ludicrous it is,

232:42you don't make any trouble,

232:43nor do people organize protests or whatever about this,

232:46because it's something where people,

232:49the security theater of the whole thing is part of it.

232:53Oh, well, if we took them away,

232:54there'd be more terrorism or something like that.

232:55People think, right?

232:57- But it is fascinating to see that the populace

233:00puts up with it, 'cause it doesn't,

233:03one of my favorite things is to listen to Jordan Peterson,

233:05who I think offline, but I think also on the podcast,

233:10you know, is somebody who resists authority in every way.

233:12And even he goes to TSA with a kind of suppressed,

233:17like all the instructions, everything down to,

233:20whenever you have like the yellow thing for your feet,

233:24they force you to adjust it even slightly if you're off.

233:27Just even, I mean, it's like, it's a Kafka novel.

233:32We're living, like TSA, it makes me smile.

233:34It brings joy to my heart, because I imagine

233:37Franz Kafka and I just walking through there,

233:40because it really is just deeply absurd.

233:45But, and then the whole motivation of the mechanism

233:49becomes distorted by the individuals involved.

233:52The initial one was to reduce the number

233:53of terrorist attacks, I suppose.

233:55- Right, now it's guns and drugs.

233:56Basically, it's like, essentially what they've done

233:58is they've repealed the Fourth Amendment, right?

234:00Search and seizure, they can do it without probable cause.

234:03Everybody is being searched.

234:04Everybody's a potential terrorist.

234:06So they've got probable cause for everybody, in theory.

234:08And so what they do, they'll post on their website

234:10the guns and drugs or whatever

234:12that they seized in these scanners.

234:13Well, of course, if you search everybody,

234:15you're gonna find some criminals or whatever.

234:17But the cost of doing that is dramatic.

234:20Moreover, the fact that people have sort of been trained

234:22to have compliance, it's like the Soviet Union, right?

234:25Where, just grudgingly, all right,

234:27go along with this extremely stupid thing.

234:29What's my point?

234:30The point is, this is a really stupid regulation

234:34that has existed in plain sight of everybody for 20 years.

234:36We're still taking off our shoes, okay,

234:39because some shoe bomber, whatever number of years ago,

234:41okay, all of this stuff is there,

234:44as opposed to, there's a zillion other things

234:46you could potentially do, different paradigms

234:48for, quote, airport security.

234:49But now apply that to FDA.

234:51Just like a lot of what TSA does is security theater,

234:54arguably all of it, a lot of what FDA does is safety theater.

234:57The difference is, there's far fewer people

234:59who go through the aperture.

235:00They're the biotech and pharma CEOs, okay?

235:03So you don't have an understanding

235:05of what it is to deal with them, number one.

235:07Number two is, the penalty is not a few hundred dollars

235:10of missing your flight.

235:11It is a few million dollars, or tens,

235:14or hundreds of millions of dollars

235:15for getting your company subject to the equivalent

235:18of a retaliatory wait time,

235:19just like that bouncer threw you out,

235:20just like the TSA officer, if you make a joke,

235:22or they can just sit you down

235:24and make you lose your flight, right?

235:25So too, can the FDA just silently impede

235:30the approval of something and choke you out financially

235:34because you don't have enough runway to get funded, right?

235:36So just impose more wait time.

235:38Guess what, we want another six months.

235:40Data's gonna take another six months,

235:41your company doesn't have the time, you die, right?

235:44If you live, you have to raise a round

235:46at some dilutive valuation,

235:48and now the price gets jacked up on the other side.

235:50That's the one thing that can give, by the way,

235:52in this whole process.

235:53When you push out timelines from days

235:57to get a vaccine approved, or a vaccine evaluated, rather,

236:01via challenge trials, to months or years,

236:03the cost during that time, when you,

236:06it just increases non-linearly, right?

236:08Because you can't iterate on the product.

236:11All the normal observations,

236:12if it takes you 10 years to launch a product

236:14versus 10 days, what's the difference

236:15in terms of your speed of variation,

236:16your cost, et cetera, right?

236:18So this is part of what, it's not the only thing,

236:19there's other things, there's AMA and CPT,

236:21there's other things, but this is one of the things

236:24that jacks up prices in the US medical system, okay?

236:28So now you have something where these CEOs,

236:31they're going through this aperture,

236:33they can't tell anybody about it,

236:36because if you read "Reputation and Power,"

236:38okay, I'm gonna just quote this,

236:40because it's an amazing, amazing book, right?

236:42It's written by a guy, Daniel Carpenter,

236:44a smart guy, but he's an FDA sympathizer.

§31Transcript · 3:56:47–4:04:02

236:47He fundamentally thinks it's a good thing, or what have you.

236:49Nevertheless, I respect Carpenter's intellectual honesty,

236:53because he quotes the CEOs in the book verbatim,

236:57and he gives some paragraphs.

236:59And essentially, from their descriptions,

237:00it's like, think about like a Vietnam War thing,

237:03where you've got a POW, and they're like blinking

237:06through their eyes, being tortured, okay?

237:09That is the style, when you read Carpenter's book,

237:12you read the quotes from these CEOs,

237:16hold on, let me see if I can find it.

237:18- Do you recommend the book?

237:19- It's a good book, yeah.

237:20Or it's now a little bit outdated, okay?

237:23Because it's like, you know, almost 10 years old.

237:26Still, as a history of the FDA, it is well worth reading.

237:30And by the way, the reason I say it,

237:31like the FDA is so insanely important.

237:34It's so much more important than many other things

237:36that people talk about, but they don't talk about it, right?

237:39I just wanna read his little blurb for it, right?

237:41This is 2010.

237:42"The U.S. Food and Drug Administration

237:43"is the most powerful regulatory agency in the world.

237:45"How did the FDA become so influential,

237:47"and how does it wield its extraordinary power?

237:50"Reputation and power traces the history

237:52"of FDA regulation of pharmaceuticals,

237:54"revealing how the agency's organizational reputation

237:56"has been the primary source of its power,

237:58"yet it's also one of its ultimate constraints.

238:00"Carpenter describes how the FDA cultivated a reputation

238:03"for competence and vigilance throughout the last century,

238:05"and how this organizational image

238:07"has enabled the agency to regulate

238:09"while resisting efforts to curb its own authority."

238:12First of all, just that description alone,

238:14you're like, wait a second,

238:16he is describing this as an active player.

238:19It's not like a DMV kind of thing, which is passed through.

238:23It's talking about cultivating a reputation,

238:26its power, resisting efforts to curb its own authority.

238:30The thing is, now you're kind of through the looking glass.

238:33You're like, wait a second, this is kind of language

238:35I don't usually hear for regulatory agencies.

238:38The thing is, the kind of person who becomes the CEO

238:41of a giant company, what do they wanna do?

238:43They wanna expand that company.

238:45They wanna make more profit.

238:48Similarly, the kind of person who comes

238:49to run a regulatory agency or one of the subunits,

238:53that person wants to expand its ambit.

238:55Okay?

238:58- By the way, is that always obvious,

238:59and sorry to interrupt, but for the CEO of the company,

239:01I know that the philosophical ideal of capitalism

239:05is you want to make the thing more profitable,

239:07but we're also human beings.

239:10Do you think there's some fundamental aspect

239:12to which we wanna do a lot of good in the world?

239:14- Sure, but the fiduciary duty will push people

239:17to get the ambitious, the profit-maximizing,

239:20expansionist CEO is selected for, right?

239:23Basically, they believe, crucially,

239:25they're not just, this is important,

239:26they're not just, I mean, some of them are

239:28grant-of-auto, make as much money as possible,

239:30but they believe in the mission, okay?

239:32They've come to believe in the mission,

239:33and that is the person who's selected.

239:35Chomsky actually had this good thing,

239:36which is like, I believe that you believe what you believe,

239:39but if you didn't believe what you believe,

239:40you wouldn't be sitting here.

239:41- Right, so they select for the kind of people

239:43that are able to make a lot of money,

239:45and in that process, those people are able

239:48to construct a narrative that they're doing good,

239:52even though what they were selected for

239:54is the fact that they can make a lot of money.

239:55- Yeah, and they may actually be doing good,

239:57but the thing is, with CEOs, we have a zillion images

240:00in television and media movies of the evil corporation

240:04and the greedy CEO.

240:04We have some concept of what CEO failure modes are like,

240:08okay?

240:09Now, when have you ever seen an evil regulator?

240:11Have you, can you name a fictional portrayal

240:14of an evil regulator?

240:15Can you name an evil CEO?

240:16There's tons. - Yeah, a lot, a lot,

240:17a lot, a lot.

240:19But that's so interesting.

240:20I'm trying, I'm searching for a deeper lesson here.

240:22You're right.

240:23You're right.

240:26I mean, there is portrayals,

240:30especially in sort of authoritarian regimes

240:33or the Soviet Union, where there's bureaucracy,

240:36you know, Chernobyl, you can kind of see

240:39within that there's the story of the regulator,

240:41but yeah, it's not as plentiful,

240:45and it also often doesn't have a face to it.

240:47It's almost like bureaucracy is this amorphous thing

240:51that results, any one individual you see,

240:53they're just obeying somebody else.

240:55There's not a face to it of evil.

240:58- That's right.

240:59- The evil is the entire machine.

241:01- That's right.

241:01That's what I call the school of fish strategy, by the way.

241:04It's something where you are an individual

241:06and you can be signaled out,

241:08but there's more accountability for one person's bad tweets

241:11than all the wars in the Middle East, right?

241:13Because it's a school of fish.

241:15- Yeah. - Right?

241:16So if the establishment is wrong,

241:18if the bureaucracy is wrong,

241:20they're all wrong at the same time.

241:21Who could have known?

241:22Whereas if you deviate,

241:24then you are a deviation who can be hammered down, okay?

241:28Now, the school of fish strategy is,

241:30unfortunately, very successful because,

241:33you know, truth is whatever.

241:35If you just always ride with the school of fish

241:37and turn when they turn and so on,

241:38unless there's a bigger school of fish that comes in,

241:41you basically can never be proven wrong, right?

241:44And this is actually, you know, of course,

241:46someone who believes in truth

241:47and believes in, you know, innovation and so on,

241:50just physiologically can't ride with the school of fish.

241:52You just have to say what is true or do what is true, right?

241:55Still, you've described correctly, you know,

241:57how it's faceless, right?

241:58So I will give two examples of fictional portrayals

242:00of evil regulators.

242:02One is actually the original Ghostbusters.

242:04- Okay. - Did not expect that one,

242:06but yes. - Yeah.

242:07So the EPA is actually the villain in that,

242:09where they flip a switch

242:11that lets out all the ghosts in the city.

242:13And essentially, the guy is coming in

242:15with a head of steam as this evil regulator

242:17that's just totally arrogant,

242:19doesn't actually understand the private sector

242:21or the consequences of their actions.

242:24And they force the,

242:26and crucially, they bring a cop with them with a gun.

242:28So it shows that a regulator is not simply,

242:31you know, some piece of paper,

242:33but it is the police, right?

242:35And that cop with the gun forces the Ghostbusters

242:38to like release the containment and the whole thing spreads.

242:40The second example is Dallas Buyers Club,

242:42which is more recent.

242:43And that actually shows the FDA blocking a guy

242:46who, with a life-threatening illness,

242:48you know, with AIDS,

242:49from getting the drugs to treat his condition

242:52and from getting it to other people, right?

242:54Those are just two portrayals,

242:55but in general, what you find

242:57is when you talk about FDA with people,

243:00one thing I'll often hear from folks is like,

243:03why would they do that, right?

243:06They have no mental model of this.

243:07They kind of think of it as,

243:09why would the,

243:11why would this thing,

243:12which they think of as sort of the DMV,

243:14they don't think of the DMV as like this active thing, okay?

243:17Why would the FDA do that?

243:18Well, it is because it's filled with some ambitious people

243:22that want to keep increasing the power of the agency,

243:24just like the CEO wants to increase

243:25the profit of the company, right?

243:27I use that word ambit, right?

243:28Why ambit?

243:29Because these folks are,

243:32we know the term greedy, right?

243:34These folks are power hungry.

243:36They want to have the maximum scope.

243:38And sometimes regulatory agencies

243:40collide with each other, right?

243:40Even though FDA is under HHS,

243:42sometimes it collides with HHS

243:44and they've got regulations that conflict.

243:46For example, HHS says everybody's supposed to be able

243:48to have access to their own medical record.

243:50FDA didn't want people to have access

243:51to their own personal genomes.

243:53That conflicts, okay?

243:54And both of those are kind of anti-corporate statutes

243:59that were put out,

243:59with HHS's thing being targeted at the hospitals

244:02and FDA being targeted at the personal genomic companies,

§32Transcript · 4:04:04–4:10:44

244:04but those conflicted, right?

244:06It's a little bit like CFTC and SEC have a door jam

244:09over who will regulate cryptocurrency, right?

244:11Sometimes regulators fight each other,

244:14but they fight each other.

244:14They fight companies.

244:16They are active players.

244:18This "Reputation and Power" book,

244:19the reason I mention it is,

244:21I'm gonna see if I can find this quote.

244:22So let me see if I can find this quote.

244:24"Reputation and Power, Organizational Image

244:27and Pharmaceutical Regulation at the FDA."

244:30So Genentech's executive, G. Kirk Robb, right?

244:35Robb would describe regulatory approval for his products

244:37as a fundamental challenge facing his company.

244:39And he would depict the administration

244:41in a particularly vivid metaphor.

244:42"I've told the story hundreds of times

244:44to help people understand the FDA.

244:46When I was in Brazil,

244:47I worked on the Amazon River for many months

244:48selling teramicin for Pfizer.

244:50I hadn't seen my family for eight or nine months.

244:52They were flying into Sao Paulo

244:54and I was flying down from some little village

244:56on the Amazon to Manus and then to Sao Paulo.

244:58I was a young guy in his twenties.

244:59I couldn't wait to see the kids.

245:00One of them was a year old baby.

245:01The other was three.

245:02I missed my wife.

245:04There was a Quonset hut in front of

245:06just a little dirt strip with a single engine plane

245:08to fly me to Manus.

245:09I roll up and there's a Brazilian soldier there.

245:11The military revolution happened literally the week before.

245:13So this soldier is standing there with his machine gun

245:15and he said to me, "You can't come in."

245:18I was speaking pretty good Portuguese by that time.

245:20I said, "My God, my plane, my family, I gotta come in."

245:23He said again, "You can't come in."

245:25I said, "I gotta come in."

245:26And he took his machine gun, took the safety off

245:29and pointed at me and said, "You can't come in."

245:31And I said, "Oh, now I got it.

245:33I can't go in there."

245:35And that's the way I always describe the FDA.

245:37The FDA is standing there with a machine gun

245:39against the pharmaceutical industry.

245:40So you better be their friend rather than their enemy.

245:42They are the boss.

245:43If you're a pharmaceutical firm,

245:44they own you body and soul.

245:46Okay, that's the CEO of a successful company, Genentech.

245:50He said he's told the story hundreds of times

245:52and regulatory approval is a fundamental challenge

245:54facing his company because if you are regulated by FDA,

245:59they are your primary customer.

246:01If they cut the cord on you, you have no other customers.

246:05And in fact, until very recently

246:07with the advent of social media,

246:09no one would even tell your story.

246:10It was assumed that you were some sort of

246:13corporate criminal that they were protecting the public from,

246:17that you were gonna put poison in milk,

246:20like the melamine scandal in China.

246:21I'm not saying those things don't exist, by the way.

246:23They do exist.

246:24That's why people are like,

246:25they can immediately summon to mind

246:26all the examples of corporate criminals.

246:28That's why I mentioned those fictional stories,

246:29those templates.

246:30Even if "Star Wars" doesn't exist,

246:32how many times have you heard a "Star Wars" metaphor

246:34or whatever for something, right?

246:35Breaking bad, you know?

246:36Go ahead.

246:37- Yeah, but the pharmaceutical companies

246:39are stuck between a rock and a hard place

246:41because the reputation, if they go to Twitter,

246:43they go to social media, they have horrible reputation.

246:46So it's like they don't know.

246:47- Yes, but why is that?

246:49Because reputation and power.

246:51FDA beat down the reputation of pharma companies,

246:54just like EPA helped beat down

246:56the reputation of oil companies.

246:57And as it says over here, right?

246:59"In practice, dealing with the fact of FDA power

247:01meant a fundamental change in corporate structure

247:03and culture.

247:04At Abbott and at Genentech,

247:06Rob's most central transformation

247:08was in creating a culture of acquiescence

247:10towards a government agency.

247:12As was done at other drug companies

247:14in the late 20th century,

247:15Rob essentially fired officials at Abbott

247:17who were insufficiently compliant with the FDA."

247:19What that means is de facto nationalization of the industry

247:24via regulation.

247:25Just to hover on that.

247:27That's a really big deal

247:29because if their primary customer

247:30is this government agency,

247:31then it has nationalized it just indirectly, right?

247:36This is partially what's just happened

247:38with Microsoft, Apple, Google, Amazon, the other MAGA.

247:42Okay?

247:43They have been, that's funny.

247:46- Well done.

247:47(laughs)

247:48Yeah, I didn't even think about that.

247:50It's well done.

247:51- Right, so it's, you know,

247:52like I have this tweet,

247:53it's like MAGA Republicans and MAGA Democrats, right?

247:56Okay.

247:57- Oh, damn it.

247:58So many things you've said today

248:00will just get stuck in my head.

248:01It changes the way you think.

248:03Catchy.

248:04Something about catchy phrasing of ideas

248:07makes me even more powerful.

248:09So yeah, okay.

248:11So that's happening in the tech sector.

248:12- It's happening in tech.

248:13So Facebook is the outlier

248:15'cause Zuck still controls the company.

248:16But just like, I mean,

248:19why had tech had a good reputation for a while?

248:22Because there wasn't a regulatory agency

248:24whose justification was regulating

248:26these corporate criminals, right?

248:28Once that is the case,

248:30the regulatory agency basically

248:32comes back to Congress each year.

248:33If you look at its budget approvals,

248:34it's saying, "We fined this many guys.

248:37"We found this many violations," right?

248:39They have an incentive to exaggerate the threat

248:43in the same way that a prosecutor

248:45or a policeman has a quota, right?

248:48Like these are the police.

248:50One way I describe it also is like,

248:52you know, like a step-down transformers.

248:55You have high voltage electricity

248:57that's generated at the power plant,

248:59and it comes over the wires,

249:00and then there's step-down transformers

249:01that turn it into a lower voltage

249:03that you can just deal with out of your appliances, right?

249:07Similarly, you have something where the high voltage

249:11of like the US military or the police,

249:14and that is transmitted down into a little letter

249:17that comes in your mailbox saying,

249:18"Pay your $50 parking ticket,"

249:20where it's a piece of paper,

249:22so you don't see the gun attached to it.

249:25But if you were to defy that,

249:27it's like "Grand Theft Auto,"

249:28where you get one star, two star, three stars,

249:30four stars, five stars,

249:31and eventually, you know,

249:33you have some serious stuff on your hands, okay?

249:36So once you understand that, you know,

249:38every law is backed by force,

249:41like that Brazilian guy with the machine gun

249:42that Rob mentioned,

249:44these guys are the regulatory police, okay?

249:46Now, see, for a time, what happened was

249:49you had the captured industry

249:52because all of the folks who were in pharmaceuticals

249:55were, as Carpenter said,

249:57a culture of acquiescence towards the FDA.

250:01The FDA was their primary customer.

250:03So just like in a sense, it's rational,

250:05you know, Amazon talks about being customer obsessed, right?

250:08What Rob did was rational for that time, right?

250:12What GKirp Rob did was saying,

250:14"Our customer is the FDA, that's our primary customer.

250:16"Nobody else matters.

250:17"They are satisfied first.

250:18"Every single trade-off that has to be made is FDA,"

250:21right?

250:22And, you know, really that's why

250:24the two most important departments

250:25at many pharmaceutical companies, arguably all,

250:27are regulatory affairs and IP, not R&D, right?

250:30Because one is the artificial scarcity of regulation,

250:33which jacks up the price,

250:34and the other is artificial scarcity of the patent,

250:36which allows people to maintain the high price, right?

250:39So this entire thing is just like, you know,

250:41college education.

250:41These things may at some point have been a good concept,

250:44but the price has just risen and risen and risen

§33Transcript · 4:10:46–4:18:13

250:46until it's at the limit price and beyond, okay?

250:49So what has changed?

250:51What's changed is in the 2010s,

250:55late 2000s and 2010s and so on,

250:58with the advent of social media,

250:59with the advent of a bunch of millionaires,

251:02like who are independent,

251:04with the advent of Uber and Airbnb, right?

251:08With the advent of cryptocurrency,

251:09with the diminution of trust in institutions,

251:12it used to be really taboo to even talk about the FDA

251:15as potentially bad in like, you know, 2010, 2009, okay?

251:19But now people have just seen face plant after face plant

251:22by the institutions,

251:23and people are much more open to the concept

251:26that they may actually not have it all together.

251:29And I think it's, you know,

251:30you could probably see some tracking poll

251:32or something like that,

251:33but I wouldn't be surprised

251:33if it's like a 20 or 30 point drop

251:35after the CDC failed to control disease and the FDA failed,

251:39and the entire biomedical regulatory establishment

251:41and scientific establishment

251:43was saying masks don't work before they do.

251:45This was just a train crash

251:46of all the things that you're paying for

251:47that you supposedly think are good.

251:49As I mentioned, one response is to go QAnon,

251:52and people will say, "Oh, don't trust anything."

251:53But the better response is decentralizing FDA, okay.

251:56So I will say one other thing,

251:59which is I mentioned, you know,

252:00this concept of improving the form 3500B,

252:03where you like scan, go ahead.

252:05- No, yeah, yeah, right.

252:06That just makes me laugh that I could just tell

252:09the form sucks by the fact that it has that code name.

252:12Sorry. - Yeah, yeah, yeah, yeah, yeah.

252:13Exactly, right?

252:14- UX is broken at every layer.

252:16- Yeah, so they have a bad Yelp for drugs,

252:19could we make a better one?

252:20We could make a better one, just modern UX.

252:22The key insight here, by the way,

252:23which is a non-obvious point,

252:25and I've got a whole talk on this actually

252:27that I should probably release.

252:28I actually did like almost eight, nine years ago.

252:30It's called "Regulation is Information."

252:32Product quality is a digital signal.

252:35Okay, what do I mean by that?

252:37Basically, when I talk about exit, you know,

252:40exit the Fed, that's the crypto economy, right?

252:43What does exit the FDA look like?

252:44Well, one key insight is that many

252:47of the big scale tech companies

252:49can be thought of as cloud regulators

252:50rather than land regulators.

252:52What do I mean by that?

252:52Well, first, what is regulation?

252:54People do want a regulated marketplace.

252:57They want A, quality ratings,

252:59like on a one to five star scale,

253:02and B, bans of bad actors,

253:04like the zero star frauds and scammers and so on,

253:07and these are distinct, right?

253:08Somebody who's like a low quality

253:10but well-intentioned person is different

253:12than a smart and evil person.

253:13Those are two different kinds of failure modes

253:15you could have in a marketplace, right?

253:17Why is it rational for people to want

253:19a regulated marketplace, especially for health?

253:21Because they wanna pay essentially one entry cost,

253:24and then they don't have to evaluate everything separately

253:26where they may not have the technical information

253:28to do that, right?

253:29You don't wanna go to Starbucks

253:31and put a dipstick into every coffee

253:34to see if it's poisoned or something like that.

253:36You sort of wanna enter a zone

253:38where you know things are basically good,

253:40and you pay that one diligence cost on the zone itself,

253:43right, whether it's a digital or physical zone,

253:45and then the regulator's taking care of it,

253:46and they've baked in the regulatory cost

253:49into some subscription fee of some kind, right?

253:52So the thing is, the model we've talked about

253:54is the land regulator of a nation state

253:56and a territorially bounded thing,

253:58but the cloud regulator, what's a cloud regulator?

254:00That is Amazon Star Ratings, that's Yelp,

254:05that is eBay, that is Airbnb, that is Uber and Lyft,

254:09and so on and so forth.

254:11It's also actually Gmail and Google, why?

254:14Because you're doing spam filtering,

254:16and you are doing ranking of emails

254:19with a priority inbox, right?

254:21With Google itself, they ban malware links, right?

254:24So the bad actors are out, and they're ranking them, right?

254:26How about Apple, the App Store, right?

254:29They ban bad actors, and they do star ratings.

254:31When you start actually applying this lens,

254:32PayPal, they've got a reputation,

254:35every single web service that's at the scale

254:38of like tens of millions or hundreds of millions of people

254:41has had to build a cloud regulator,

254:44and the crucial thing is it scales across borders.

254:46So you can use the data from Mexico

254:48to help somebody in Moldova or vice versa, right?

254:52Because it's fundamentally international, right?

254:54Those ratings, you have a network effect.

254:56And there's another aspect to it,

254:59which is these are better regulators

255:01than the land regulators.

255:02For example, Uber is a better regulator

255:04than the taxi medallions, why?

255:07Every ride is GPS tracked,

255:09there's ratings on both the driver and the passenger side.

255:12Both parties know that payment can be rendered

255:15in a standard currency, right?

255:17If you have below a certain star rating on either side,

255:19you get deplatformed and so on

255:21to protect either rider or driver, and on and on, right?

255:24What does that do?

255:25Think about how much better that is than taxi medallions,

255:26rather than a six-month or annual inspection.

255:29You have reports from every single rider, okay?

255:32Before Uber, it was the taxi drivers and taxi regulators

255:37were in a little monopoly locally, okay?

255:40Because they were the persistent actors in the ecosystem.

255:42Taxi riders had nothing in common,

255:45didn't even know each other.

255:45In New York, some guy gets in a taxi,

255:47another guy, they had no way to communicate with each other.

255:49So the persistent actors in the ecosystem

255:51were the regulators and the drivers.

255:53And they had this cozy kind of thing,

255:55and medallion prices just kept going up.

255:56And this was a sort of collaboration

255:58on artificial scarcity.

255:59Afterwards, with Uber and Lyft and other entrants,

256:03you had something interesting,

256:03a different kind of regulator-driver fusion.

256:06If you assume regulatory capture exists and lean into it,

256:11Uber is the new regulator,

256:13and Uber drivers are the drivers.

256:15Lyft is the competing regulator,

256:17and Lyft drivers are the new drivers, okay?

256:19So you have a regulator-driver fusion

256:22versus another regulator-driver fusion.

256:23You no longer have a monopoly, you have multiple parties.

256:27Okay, you have a competitive market.

256:29This is the concept of polycentric law, right?

256:32Where you have multiple different legal regimes

256:34in the same jurisdiction overlapping

256:36that you can choose between with a tap of a button, right?

256:39All these concepts from libertarian theory,

256:41like polycentric law or catalysis,

256:43all these things are becoming more possible

256:45now that the internet

256:46has increased microeconomic leverage,

256:48because that exit is now possible.

256:52Now, you may argue, "Oh, well, Lyft and Uber,

256:55they're not profitable anymore."

256:57And there's two different criticisms of them.

256:58One is, "Oh, they're not profitable,"

257:00or, "Oh, they're charging too much," or whatever.

257:02And I think part of this is because of certain kinds of...

257:06The regulatory state has caught up

257:07to try to make them uncompetitive.

257:09For example, they don't allow people in some states

257:11to identify themselves as independent contractors,

257:13even if they are part-time, okay?

257:15There's various other kinds of rules and regulations.

257:18You know, in Austin for a while,

257:19Uber was even banned, what have you, right?

257:22Net-net though, like Uber, Grab, Gojek, Lyft, Didi,

257:27like ride-sharing as a concept is now out there.

257:30And whatever the next version is, whether it's self-driving,

257:32like, while it's like a very hard-fought battle

257:34and the regulatory state keeps trying

257:35to push things back into the garage,

257:38this is a fundamentally better way

257:40of just doing regulation of taxis.

257:42Similarly, Airbnb for hotels.

257:45I mean, it's basically the same thing, okay?

257:47And Airbnb could use competition.

257:50I think that it would be good to have, you know,

257:52like competition for them,

257:53and there are other kinds of sites opening up.

257:56But the fundamental concept of the cloud regulator now,

257:58let's apply it here.

257:59Once you realize regulation is information,

258:02the way you'd set up a competitor to FDA or SEC or FAA

258:08or something like that is you just do better reviews.

258:11Like you just start with that.

258:13That's pure information.

258:13You're under free speech.

§34Transcript · 4:18:14–4:25:47

258:14That's like still, you know, the most defended thing,

258:17literally just publishing reviews.

258:18And not just reviews by any old person.

258:20It turns out that FDA typically will use expert panels,

258:23where there's expert panels.

258:24It's like professors from Harvard or, you know,

258:26things like that.

258:27So what that is, is this concept of a reputational bridge.

258:31What you wanna do is you wanna have folks who are,

258:33let's say, biotech entrepreneurs,

258:36or they're, you know, profs like Sinclair or what have you.

258:40You do wanna have the reviews of the crowd, okay?

258:44But you also wanna have, especially in medicine,

258:45by the way, so you wanna have the reviews of experts

258:47of some kind.

258:48So there's gonna be defectors from the current establishment.

258:51Okay, just like, you know,

258:52there are profs who defected from computer science academia

258:55to become Larry and Sergey and whatever, you know,

258:57or they weren't profs, they were grad students, right?

259:00In the same way, you'll have defectors

259:02who have the credentials from the old world,

259:04but can build up the new.

259:05Just like there's folks from Wall Street

259:07who have come into cryptocurrency

259:08and helped legitimate it, right?

259:09Just like there's folks who left Salsberger

259:11to come to Substack, okay?

259:13You know, we have these folks who, by defecting,

259:17they help, and then they're also supplemented

259:18by all this new talent coming in, right?

259:20That combination of things is how you build a new system.

259:22It's not completely by itself,

259:24nor is it trying to reform the old, it's some fusion, okay?

259:27So in this new system, who do you have?

259:28You have, like, the most entrepreneurial

259:30and innovative MDs.

259:31You have the most entrepreneurial and innovative professors.

259:34And you have the founders of actual new products and stuff.

259:37And they are giving open-source reviews of these products.

259:42And they're also building a community that will say,

259:45"Look, we want this new drug, or we want this new treatment,

259:49or we want this new device,

259:51and we're willing to crowdfund 10,000 units.

259:54So please give us the thing,

259:56and we'll write a very fair review of it,

259:58and we'll also all evaluate it as a community," and so on.

260:01So you turn these people from just passive patients

260:03into active participants in their health.

260:05That's a community part,

260:06and they've got the kind of biomedical,

260:08technical leadership there.

260:09Now, what is the kind of prototype of something like this?

260:12Something like VitaDow is very interesting.

260:14Things like MoleculeDow are very interesting.

260:16It'll start with things like longevity, right?

260:18And why is that?

260:19Because the entire model of FDA, this 20th century model,

260:23is wait for somebody to have a disease,

260:27and then try to cure them, okay?

260:30Versus, you know, saying an ounce of prevention

260:32is worth a pound of cure, right?

260:34Why are we not actually tracking folks

260:37and getting a constant dashboard on yourself

260:39so you can see whether things are breaking?

260:42And then you deal with it

260:43just like you've got server uptime things.

260:44You don't wait necessarily for the site to go down.

260:47You start seeing, "Oh, response rates are spiking.

260:50We need to add more servers," right?

260:51You have some warning, okay?

260:52Even 10 years ago, there was this article

260:55called "The Measured Man" in "The Atlantic,"

260:57where this guy, physicist Larry Smarr, okay?

261:01What he was doing is he was essentially

261:02doing a bunch of measurements on himself.

261:05And he was finding that there were predictors of inflammation

261:09that were spiking, and he went to the doctor,

261:11showed the charts, and the doctor was like,

261:13"I can't do anything with this."

261:15Then it turned out to be an early warning

261:17of a serious condition,

261:19and he had to, I think, go for surgery or something.

261:22And he was starting to think, "Well, look,

261:25the way that we're doing medicine right now

261:26is it's not quite like pre-germ theory of disease,

261:31but it is pre-continuous diagnostics, okay?

261:37Continuous diagnostics,

261:38just to talk about this for a second,

261:40this is, I mentioned one angle on which you go after FDA,

261:43which is like the better phase four, right?

261:45I've mentioned the concept of better reviews in general,

261:48okay?

261:49I mentioned VitaDow, which is like a community

261:52that is going after longevity.

261:54Let's talk about continuous diagnostics.

261:55So basically, we know better what is going on

262:00in Bangalore or Budapest than in our own body.

262:03That's actually kind of insane to think about.

262:05This stuff that, you know,

262:06it's all the other side of the world, 10,000 miles away,

262:08but a few millimeters away,

262:10you don't really know what's going on, right?

262:12And that's starting to change

262:13with all the quantified self-devices,

262:15the hundreds of millions of Apple Watches

262:17and Fitbits and stuff, right?

262:19You're also starting to see continuous glucose meters,

262:21which are very important.

262:22They're starting to give you readouts.

262:23People are seeing, "Wow, this is spiking my insulin.

262:25"Or rather, this is spiking my blood sugar."

262:28And it might be something you didn't predict.

262:30It varies for different people.

262:32For some people, you know,

262:33a banana isn't a big deal.

262:34For others, it's actually quite bad for the blood sugar.

262:36What happens when you extend that?

262:38Well, about 10 years ago, a guy, Mike Snyder,

262:41professor at Stanford, did something called the integrome,

262:44where he just threw the kitchen sink

262:45of all the diagnostics he could at himself

262:47over the period of, I think, a few weeks or a few months.

262:50I forget the exact duration.

262:51And he was able to do things where he could see,

262:53during that period, he got a cold or something.

262:55And he could see in the expression data,

262:58the gene expression data,

262:59that he was getting sick before he felt sick.

263:02He could also see that something about that viral infection

263:04made him develop diabetes-like symptoms,

263:08if I'm remembering it accurately.

263:10So you could see, "Oh, wait a second.

263:11"These are things that I can see in my readouts

263:15"that I would only have the vaguest interpretation of

263:19"as a human being."

263:22And moreover, he could take,

263:25I don't think he did this,

263:26but if you took treatments, if you took drugs,

263:29you could actually show what your steady state was,

263:34if you tracked over time,

263:35show what your disease state or sick state was.

263:38And then this drug pushes you back into non-disease state.

263:42You can actually get a quantitative readout

263:44of what steady state was.

263:47And that steady state,

263:50your expression levels across all these genes,

263:53your small molecules,

263:53basically everything you can measure,

263:56that's gonna vary from person to person.

263:59What's healthy and natural for you

264:01may be a different baseline than for me.

264:02For example, people who are,

264:04small example, people who are South Asian

264:06or have dark skin tend to have vitamin D deficiency.

264:08Why?

264:09Because we need a lot of sunlight.

264:11So often inside, you're tapping on your screen.

264:14So what do we do?

264:15Take actually significant vitamin D infusions.

264:17That's a small example

264:19of where baselines differ between people.

264:22So continuous diagnostics, what could that mean?

264:25That could mean things like the continuous glucose meter,

264:27it's quantified self,

264:29it's like continuous blood testing.

264:31So you have a so-called mobile phlebotomist.

264:33This is something which,

264:35phlebotomist takes blood,

264:36mobile phlebotomist would come to your office,

264:38come to your remote office.

264:39This is a great business for people.

264:41I think you can revisit this in 2022.

264:44People tried this in the 2010s,

264:45but I think it's worth revisiting.

264:47Mobile phlebotomist comes every week or every month,

264:50takes blood, runs every test.

264:52Maybe that's a few thousand dollars a year,

264:55maybe eventually gets to a few hundred dollars a year.

264:58And that's expensive in some ways,

264:59but boy, that's better health insurance in other ways.

265:01- Yeah, I mean, it's amazing.

265:03So one, there's a bunch of companies that do this,

265:04and I actually would love to learn more about them.

265:06One of them is a company called InsideTracker

265:09that sponsors this podcast.

265:10They do that, but the reason I really appreciate them,

265:13they're the first ones that introduced me

265:14to how easy it is.

265:17But it's also depressing how little information,

265:20exactly as you beautifully put once again,

265:22how little information we have about our own body

265:25in a continuous sense.

265:27And actually also sadly, even with InsideTracker,

265:31as I collect that data,

265:33how not integrated that data is with everything else.

265:37If I wanted to opt in, I would like,

265:40I can't, it's just like riffing off the top of my head,

265:44but I would like Google Maps to know

265:47what's going on inside my body.

§35Transcript · 4:25:48–4:32:57

265:48Maybe I can't intuit at first

265:50why that application is useful,

265:52but there could be incredible,

265:54like that's where the entrepreneur spirit builds

265:57is like, what can I do with that data?

265:58Can I make the trip less stressful for you

266:01and adjust to Google Maps, that kind of thing.

266:03- That's right.

266:04So, I mean, one of the things about this, by the way,

266:06is because there are so many movies made about Theranos,

266:09okay, that's one of the reasons why people

266:12have sort of been scared off from doing diagnostics

266:16to some extent, okay, why?

266:17'Cause VCs are like, oh, is this another Theranos?

266:20Like the diligence and everything,

266:21everyone's looking at it, oh, blood testing,

266:23one drop of blood, huh?

266:24Hurts the recruiting.

266:25Essentially, a lot of the media and stuff around that

266:30basically has pathologized the thing

266:32that we wanna have a lot more entrance in, right?

266:34Now, one way of thinking about it is

266:36FDA has killed way more people than Theranos has,

266:40all right, way more.

266:41Just take drug lag alone, okay?

266:43Whenever you have a drug that works

266:47and reduce morbidity and mortality

266:49after it was actually generally available,

266:51but was delayed for months or years,

266:53the integral under that curve

266:55is the excess morbidity and mortality

266:56attributable to FDA's drug lag.

266:58You could go back and do that study

267:00across lots and lots of different drugs,

267:02and you'd probably find quite a lot.

267:03Alex Tabarrok and others have written on this, right?

267:05Daniel Henninger has written on this, okay?

267:07That's just like one example.

267:09I mean, I gave the pandemic example,

267:10the fact that they held up the EUAs for the tests

267:13and didn't do challenge trials.

267:15That's like a million American dead

267:18that could have been orders of magnitude less

267:19if we had gotten the vaccine out

267:21to the vulnerable population sooner, okay?

267:23So you're talking about something

267:24that has a total monopoly on global health,

267:27and you can't know what it is without that

267:32unless you have zones that are FDA-free,

267:35but that have some form of regulation.

267:37As I mentioned, it's a V3.

267:38It's not going back to zero regulation,

267:41everybody in a manner for itself,

267:42but it's a more reputable regulator,

267:45just like Uber is a better regulator

267:48than the taxi medallions, right?

267:49- Yeah, I mean, you're painting such an incredible picture.

267:52You're making me wish you were FDA commissioner.

267:55But I-

267:56- There are a bunch of people who tweeted something like that

267:57after the, you know, with the pandemic.

268:00Whatever, go ahead, yeah.

268:01- Is that possible?

268:02Like if you were just given,

268:04if you became FDA commissioner,

268:05could you push for those kinds of changes,

268:09or is that really something

268:10that has to come from the outside?

268:11- Short answer is no.

268:12And the longer answer, meaning-

268:15- The long, that'd be funny if you're like,

268:16the short answer is no, the long answer is yes.

268:18(both laughing)

268:19- So basically, see, a CEO of a company,

268:23while it's very difficult,

268:25they can hire and fire, right?

268:27So in theory, they can do surgery on the organism.

268:31And like, you know, Steve Jobs took over Apple

268:33and was able to hire and fire, raise money, do this, that.

268:37He basically had root over Apple.

268:39That he was a system administrator, right?

268:41He had full permissions, okay?

268:43As FDA commissioner,

268:44you do not have full permissions over FDA,

268:47let alone like the whole structure around it, right?

268:50If you're FDA commissioner,

268:51you are not the CEO of the agency, okay?

268:54Lots of these folks there have career tenure.

268:57They can't be fired.

269:00They can't even really be disciplined.

269:01There's something called the Douglas factors.

269:02You ever heard of the Douglas factors?

269:04It's like the Miranda rights for federal employees, okay?

269:07You know, the right to remain as a,

269:08so basically, if you've heard

269:10that federal employees can't be fired,

269:12the Douglas factors are how that's actually operationalized.

269:15When you try to fire somebody,

269:16it's this whole process where they get to appeal it

269:20and so on and so forth.

269:21And they're sitting in the office

269:22while you're trying to fire them.

269:24And they're complaining to everybody around them

269:26that this guy's trying to fire me,

269:28he's such a bad guy, blah, blah, right?

269:30And everybody around, even if, you know,

269:33they may think that guy is doing a bad job,

269:35they're like, wait a second, he's trying to fire you,

269:36he might try to fire me too.

269:38And so anybody who tries to fire somebody at FDA

269:41just gets a face full of lead for their troubles.

269:44What they instead will do is sometimes

269:45they'll just transfer somebody to the basement or something

269:48so they don't have to deal with them

269:49if they're truly bad, okay?

269:51But the thing about this is there is only one caveat,

269:55Douglas factor number eight,

269:57the notoriety of the offense or its impact

269:59upon the reputation of the agency.

270:02There's that word again, reputation,

270:04of reputation and power.

270:05So the one way you can truly screw up

270:08within a regulatory bureaucracy

270:09is if you sort of endanger the like annual budget renewal.

270:14Think of it as like this mini Death Star

270:16that's coming to dock against the max Death Star

270:19for its like annual refuel.

270:22And it's talking about all the corporate criminals

270:24that it's prosecuted, the quotas,

270:26like the police quotas, the ticketing, you know,

270:28and if they don't have a crisis, they will like invent one.

270:32Just again, just like TSA,

270:33just like other agencies you're more familiar with,

270:35you can kind of map it back.

270:36Look at the guns and drugs we've seized.

270:38And say an incentive for, you know,

270:41creating these crises or manufacturing them

270:43or exaggerating them.

270:44And if you endanger that refueling,

270:48that annual budget renewal or, you know, what have you,

270:51then the whole agency will basically be like,

270:53okay, you're bad and you can be disciplined

270:55or sometimes, you know, with rare except,

270:56you know, you can be booted.

270:58But what that means is that FDA commissioner

271:00is actually a white elephant.

271:02It's a ceremonial role, really, right?

271:04You know, the term white elephant,

271:05it's like basically, you know,

271:07the Maharaja gives you a white elephant as a gift.

271:11Seems great.

271:12Next day, it's eaten all of your grass.

271:15It's pooped on your lawn.

271:17It has like, just put a foot on your car and smashed it.

271:20But you can't give it away.

271:22It's a white elephant.

271:23The Maharaja gave it to you, right?

271:25That's what being like FDA commissioner is.

271:27It's the kind of thing where if,

271:31and a lot of people are drawn in like moths to the flame

271:33for these titles of the establishment.

271:37I wanna be head of this.

271:38I wanna be head of that, right?

271:40And really what it is, it's like,

271:42I don't know, becoming head of Kazakhstan in the mid 1980s

271:49in the Soviet Union, the Kazakhstan SSR, right?

271:51Soviet Socialist Republic,

271:52before the thing was gonna like crumble potentially, right?

271:55In many ways, it's becoming, you know,

271:56folks who are just totally status obsessed

271:58getting these positions,

272:00but like a lot of the merit,

272:02all the folks with merit are kind of leaving the government

272:05and going into, you know, tech or crypto or what have you.

272:09So even if these agencies were hollow before,

272:12in some ways they're becoming hollower

272:13because they have less talent there, right?

272:15So A, you can't hire and fire very easily.

272:18You can hire a little bit, but you can't really fire.

272:20B, a lot of the talent has left the building,

272:24but was there.

272:25C, we're entering the decentralizing era.

272:27And D, you know, like, be like Satoshi.

272:30Satoshi founded Bitcoin

272:32'cause he knew you could not reform the Fed.

272:34There's everybody's trying to go and reform, reform, reform.

272:36The reason they're trying to reform

272:37is we haven't figured out the mechanism

272:39to build something new.

272:39And now perhaps we have that.

272:40So I've named a few of them, right?

272:42I'll name one more.

272:43Related to the literants.

272:45Fitness is actually the backdoor to a lot of medicine.

272:48Okay, why is that?

272:50You go to any, you know, conference,

272:51it could be neurology, it could be cardiology.

272:54You'll find somebody who's giving a talk

272:55that says something along the lines of,

272:57fitness is the ultimate drug.

§36Transcript · 4:32:58–4:40:31

272:58Maybe not today when people are saying,

272:59oh, fat phobic or whatever, but not too many years ago.

273:01You'd see somebody, people saying,

273:04fitness is the ultimate drug.

273:05If we could just prescribe fitness in a pill,

273:08that would improve your cardiovascular function,

273:09your neurological function, it deals with depression.

273:11- By the way, in that case,

273:12the use of the word drug means medicine, so.

273:14- Medicine, yeah, sure, sure, sure.

273:16- Fitness is the ultimate medicine, yeah.

273:18- Yeah, the ultimate medicine, right?

273:19So if they could just prescribe the effects of it,

273:22it's just like, boom, just massive effect, right?

273:24Like you're fit enough, you do the resistance training,

273:26it helps with, you know, preventive diabetes.

273:28Every kind of thing in the world,

273:30you see a significant treatment effect.

273:32Yet your fitness is your own responsibility.

273:34You go to some gym, 24 Hour Fitness, what do they have?

273:37They have on the wall exhortations like,

273:39your body is your responsibility, right?

273:42Am I right?

273:43- Yeah, yeah, yeah, yeah.

273:44- And you know, go ahead, but.

273:46- No, it's just, it's hilarious, yes, yes, yes.

273:49- It's funny, but it's true, right?

273:51- Yeah, it's funny 'cause it's true.

273:52- And so your fitness, your diet, that's your responsibility.

273:55But when you go into a doctor's office,

273:58suddenly it becomes lie back and think of England, okay?

274:00Suddenly you become passive.

274:02Suddenly, oh, your doctor is Dr. Google?

274:05Well, your doctor must be a moron.

274:06You're going and trying to take care of yourself,

274:08you're Googling symptoms.

274:10Oh, how stupid you are.

274:12I have a medical degree.

274:13And that doctor, see, the thing is,

274:15if you come in and you've self-diagnosed

274:17or you've done some of your own research,

274:19if you're right, and if they've got an ego about it,

274:22they're undermined.

274:23And if you're wrong, they're like, you know,

274:25ha ha, you know, arrogant.

274:26But either way, if they've got this kind of mindset,

274:29they have an incentive to resist

274:30the patient taking care of themselves.

274:31Isn't that the doctor's job, right?

274:33And they're kind of taught to behave like this, many of them.

274:36So what that means then is that intervention

274:39of that 15 or 30 minute appointment with the doctor,

274:42whatever drug they prescribe better hit you

274:44like Thor's hammer to put you back

274:46on the straight and narrow.

274:47Because that's only with you for like a few seconds,

274:51you know, a few minutes or whatever.

274:52The doctor's only with you for a few minutes.

274:53The drug is only, you know, some drugs are very powerful.

274:55So they actually do work like this, okay.

274:57But your fitness is your own responsibility.

275:01And that's a continuing forcing function every day.

275:04And again, we get back to decentralization, right?

275:07The decentralization of responsibility

275:09from somebody thinking of themselves merely as a patient

275:12to an active participant in their own health,

275:14who's doing their own monitoring of their own health, right?

275:16And logging all their stuff, who's eating, you know,

275:20properly and looking at the effect of their diet

275:22on things like their, you know,

275:23continuous glucose monitor is a V1, but other things, right?

275:27Who is, you know, as fit as they can possibly be.

275:30Like these are kind of obvious things,

275:32but why is this the back door to medicine?

275:33Because since FDA only regulates those things

275:36that are meant to diagnose and treat a disease,

275:39all the stuff that is meant to improve

275:42an otherwise healthy person

275:43is potentially out of their purview.

275:45Supplements are one interesting aspect

275:46that they were carved out in the mid 90s.

275:50And that's why the supplement industry is big

275:51'cause FDA doesn't have as tight a rein on that.

275:54But all of the Fitbit, CGM,

275:58continuous glucose meter type stuff,

276:00you can crank out all kinds of things

276:02that help people get fitter,

276:05that will also actually have just general health value,

276:09but you're not quite marketing them to diagnose

276:11or treat, you know, a disease.

276:13See what I'm saying?

276:14You're marketing them for the purpose of fitness.

276:15This is a market, why?

276:17Because psychologically people,

276:20they don't like paying to get back to normal,

276:23but they will absolutely pay tons of money

276:25to get better than normal.

276:25They'll pay for fitness, they'll pay for makeup,

276:27they'll pay for hair, they'll pay for this and that.

276:30So that's actually the back door

276:33and you can do tons of things there

276:34where obviously being healthier is also protective.

276:38You can actually show the studies on this.

276:39So this way you build out all the tooling to get healthier

276:43and that actually helps on this axis.

276:45Fewer things which kind of a US medical system,

276:47but I'll admit, 'cause you got me on this topic.

276:48- I love this.

276:49- Okay, so--

276:50- This is the most eloquent exploration

276:54of the US medical system and how to improve it,

276:57how to fix it and what the future looks like.

276:59- Yeah, so-- - I love it.

277:01- So basically, so part of it is decentralizing control

277:03back to the individual, right?

277:05Now, I've talked about FDA at length,

277:07but let me talk about some of the other broken parts

277:08of the US system, right?

277:10There's like AMA, there's CPT, there's CPOM,

277:13there's this, you know, like all these regulations

277:17which see normally in capitalism,

277:21you have a buyer and a seller, right?

277:24Duh.

277:25In medicine, you have third-party regulation

277:28and fourth-party pricing and fifth-party payment, okay?

277:33So third-party regulation, FDA is regulating it,

277:36fourth-party pricing, it is, you know, the CPT codes, right?

277:41Fifth-party payment, it's the insurance companies, right?

277:44And just to discuss these bits of the system,

277:48first, why are some people against capitalism in medicine?

277:52I actually understand why they're against it

277:53because they are visualizing themselves on a gurney

277:57when they're being wheeled in

278:00and now somebody at their moment of vulnerability

278:02is charging this insane price for their care

278:04and many people in the US have had this horrible experience

278:07where they're bankrupted or scared of being bankrupted

278:10by medical bills.

278:11Therefore, the concept of adding more capitalism to medicine

278:14scares them and they think it's horrible

278:16and you're some like awful, greedy tech bro kind of thing.

278:19All right?

278:21Let me say I understand that concern

278:23and let me kind of, let me pull,

278:25tease that apart a little bit, right?

278:27Basically, the most capitalistic areas of medicine

278:30are the most functional areas of medicine.

278:32So that's say the places where you can walk in

278:34and walk out, okay?

278:36Whether that's dentistry, dermatology, plastic surgery,

278:40even veterinary medicine, which is not human, okay?

278:43Where you can make a conscious decision, say,

278:45okay, I want this care or I don't want this.

278:48I see a price list, I can pay cash, right?

278:51If I don't like it, I go to another dermatologist.

278:53There's few dermatological emergencies.

278:55That's why dermatologists have a great quality of life, okay?

278:58By contrast, when you're being wheeled in on a gurney,

279:00you need it right now, okay?

279:02And you're unconscious or what have you

279:04or you're not in a capacity to deal with it, right?

279:07And so these are the two extremes.

279:08It's like ambulatory medicine, you can walk around and pick

279:12and like ambulance medicine, okay?

279:14And what that means is the more ambulatory the medicine,

279:19the more legitimate capitalism is in that situation.

279:22People are okay with a dermatologist

279:25basically turning you down

279:26because you don't have enough money

279:28and you go to another dermatologist

279:29because you can comparison shop there.

279:31It's not usually an emergency, right?

279:33Whereas if you're coming in with an ambulance,

279:36then people don't wanna be turned down

279:37and I understand why, okay?

279:39What this suggests by the way

279:40is that you should only have insurance for the edge cases.

279:45Insurance should only cover the ambulance,

279:48not the ambulatory.

279:49And most people are losing money on insurance, right?

279:52Because most people are paying more in in premiums

279:54than they are getting out.

279:56It's just that this huge flight of dollars through the air

279:59that no one can make heads or tails out of.

280:01Oh, the other aspect that's obviously broken

280:03is employer provided health insurance

280:05which just started after World War II.

280:06So auto insurance is in a much more competitive market.

280:09You don't whip out your auto insurance card

280:12at the gas station to pay for your gas, right?

280:14You only whip it out when there's a crash, right?

280:16That's what quote health insurance should be.

280:18And the Singapore model is actually a pretty good one

280:20for this where they have sort of a mandatory HSA.

280:23You have to like put some money in that

280:25and that pays for your healthcare bills

280:27but then it's cash out of that.

280:28It's like a separate pocket

280:29sort of for savings to pay for-

280:31- Health savings account.

§37Transcript · 4:40:32–4:48:58

280:32- Health savings account, right?

280:33The thing about this is once you realize,

280:36well first, ambulatory medicine is capitalistic medicine.

280:39Ambulance medicine is socialist medicine, okay?

280:42You wanna shift people more towards ambulatory.

280:44Guess what?

280:45That's in their interest as well.

280:46Now that brings us back to the monitoring, right?

280:49The continuous monitoring where

280:51whether eventually it's Mike Snyder's Integrome,

280:54the V1 is the quantified self and the Apple watch

280:57and the continuous glucose meters

280:59and the VN is the Mike Snyder Integrome.

281:01There's a site called Q.bio which is doing this also, right?

281:05Eventually this stuff will hopefully just be in a device

281:07that just measures tons and tons of variables on you, right?

281:09There's ways of measuring some of these metabolites

281:13without breaking the skin.

281:15So it's not, you don't have to keep breaking the skin

281:18over and over, there's various ways of doing that.

281:20So now you've got something where you've got the monitoring,

281:23you've got the dashboards, you've got the alerts

281:26and just like this Larry Smarr guy

281:28that I mentioned, the measured man,

281:30you might be able to shift more and more things

281:32to ambulatory.

281:33And one of the things about this also is

281:35the medical system is set up in a bad way

281:37where the primary care physician is the one who is

281:42like not the top of their class,

281:44but the guys who are at the bottom of the pinball machine,

281:47the surgeons and the radiologists,

281:49once your stuff is already broken, okay?

281:51They're the ones who are paid the most.

281:52So a lot of the skill collects at the post break stage,

281:57right where you actually want Dugie Howser MD

281:59is at the upstream stage, okay?

282:03So you want this amazing, amazing doctor there, right?

282:05How could we get that?

282:06I mentioned the app that doesn't exist,

282:08which is like a better version of the 3500B, right?

282:11Here's another app that doesn't exist.

282:12And this is one that FDA is actively quashed.

282:15Why can't you just take an image of a mole

282:17or something like that?

282:18You know, with the incredible cameras we have,

282:21a huge amount of medical imaging should be able to be done

282:24at home and it goes to doctors,

282:27whether it's in the US or the Philippines or India.

282:29I mean, teleradiology exists, right?

282:32Why can you not do that for dermatology,

282:35for everything else?

282:36You should be able to literally just hold the thing up

282:37and with a combination of both AI and MDs, just diagnose.

282:42That should exist, right?

282:45Answer is there's a combination of both American doctors

282:49and the FDA that team up to prevent this or slow this.

282:52And, you know, one argument is,

282:55oh, the AI is not better than a human 100% of the time

282:59because it's not deployed yet.

283:00Therefore it could make an error, therefore it's bad.

283:02Even if it's better than 99% of doctors, 99% of the time.

283:05Another argument is the software has to go

283:07through design control, okay?

283:09Now, basically, once you understand how FDA works,

283:13basically imagine the most bureaucratic frozen process

283:18for code deployment at any company ever.

283:21And that is the most nimble thing ever

283:24relative to FDA's design review.

283:27So just to review, A, talked about how FDA

283:31was blocking all this stuff.

283:32B, talked about why ambulatory medicine is capitalist

283:35medicine, ambulance medicine is socialist medicine.

283:38C, talked about how with the diagnostic stuff

283:41we can shift it over to ambulatory.

283:43D, talked about how there's lots of things

283:45where you could have a combination of doctor and AI

283:47in an app that you kind of quickly self-diagnose.

283:49Some of this is happening now.

283:51Some of the telemedicine laws were relaxed during COVID

283:55where now people, you know, a doctor from Wyoming

283:58can prescribe for somebody in Minnesota.

284:01Like some of that stuff was relaxed during COVID, okay?

284:04There's other broken things in medical system.

284:05I'll just name two more and then kind of move on, okay?

284:08I mentioned like AMA and CPT, okay?

284:11- Those are two regulatory bodies?

284:13- AMA, American Medical Association,

284:14CPT, Current Procedural Terminology, okay?

284:17Basically, you know Marx's labor theory of value

284:20where people are supposed to be paid on their effort, right?

284:24Of course, the issue with this is that you'd be paying

284:27a physicist to try to dunk and, you know,

284:32they'd be trying but they wouldn't actually

284:34probably be able to do it.

284:35They'd be trying real hard, whereas you actually

284:38want to pay people on the basis of results, right?

284:40Cheaply attained results are actually better

284:42than expensively attained non-results, perhaps obvious, okay?

284:45Nevertheless, the way that the US medical system

284:48has payouts, it's based on so-called RVUs,

284:50relative value units.

284:52And this is something where there's a government body

284:56that sets these prices and it is in theory only for Medicare

285:01but all the private insurers key off of that.

285:05And AMA basically publishes a list of these so-called

285:10the CPT codes, which is like the coding,

285:13the biomedical coding of this,

285:15and what each medical process is worth and whatnot.

285:18So it's like, I don't remember all the numbers,

285:22but it's like a five-digit code and it's like,

285:24okay, I got a test for cystic fibrosis

285:27or a test for this or a test for that.

285:29God help you if your medical billing is erroneous.

285:34Why?

285:35The insurance company will reject it

285:37'cause it doesn't pay for that.

285:38This is this giant process of trying to encode

285:41every possible ailment and condition into the CPT codes

285:45and you can literally get degrees in medical billing

285:49just for this, okay?

285:50This enormous inefficient industry, okay?

285:54Like literally medical billing is a whole field, okay?

285:56- Yeah.

285:57What do you wanna do when you grow up?

285:59I wanna work in medical billing.

286:01- In medical billing, okay?

286:02Where everybody's mad at you at all times.

286:04Part of what happens is when you give a treatment,

286:07when a doctor gives a treatment to a patient,

286:10they can't like repo the treatment, okay?

286:12Like a car, you sell a car, you can in theory repo the car.

286:14So the patient has a treatment.

286:16Now, what happens?

286:18Well, the insurance company,

286:19that treatment is perhaps provided,

286:23look, it's a lab test provided by a company, right?

286:24The company bills the patient.

286:26The company is supposed to charge a high price, why?

286:29The insurance company wants it to try to collect

286:31from the patient.

286:32The patient is scared, oh my God, they see this huge price.

286:34They sometimes don't pay.

286:37Sometimes the insurance company doesn't pay either.

286:40And when a company is stiffed by an insurance company,

286:44when a diagnostic company is stiffed by an insurance company

286:46it has to jack up the price on everybody else, right?

286:48Everything boils down to the fact that you don't have

286:52you know, a buyer and a seller.

286:54The doctor doesn't know the price of what is being sold.

286:57The buyer doesn't know the price of what is being bought

287:01at the time it's being bought.

287:02Neither party can really even set a free price

287:04because there's this RVU system that hovers above.

287:07The buyer feels they've already bought it

287:09'cause they bought insurance.

287:10The insurance company doesn't wanna pay for it.

287:12Everybody is trying to like push the price

287:14onto somebody else and you know,

287:17not actually show the sticker price of anything

287:19and hide everything and so on and so forth.

287:22Oh, the other thing about it is obviously lawsuits

287:24are over everything.

287:25Everybody's mad about everything.

287:27It's health, people are dying, okay?

287:30So everything is just optimized for optics

287:32as opposed to results, right?

287:34Similarly, actually many drugs are optimized

287:36for minimizing side effects and optics

287:39rather than maximizing effects

287:40which are totally different criteria, right?

287:42You might have, for example, a drug that only cures

287:46a thousand people but doesn't have any side effects

287:49versus one that cures a million people

287:51but that has 10 really serious side effects a year, right?

287:55And the second one would probably not happen

287:57because those side effects would be so big, okay.

288:00How do you attack this?

288:02I name a few examples but I actually think the reform

288:04is gonna come in part from outside the system.

288:06In particular, India is coming online, okay?

288:10Why is that important?

288:11Well, you may have encountered an Indian doctor or two, okay?

288:16Maybe an Indian programmer, one or two, all right?

288:18And I do think telemedicine could explode, right?

288:23Where you could have an Indian doctor in India

288:28and there's a US doctor, okay, who's like a dispatcher.

288:33You see what I'm saying?

288:35They've got all these other Indian doctors behind them,

288:37they've got a telemedical app

288:38and you are now doing something

288:40where these relatively inexpensive Indian doctors

288:44who are vetted by the American doctor

288:46or the doctor in the jurisdictions of license

288:48become the backend doctors of the world.

288:50To some extent, that's already there with teleradiology

288:52and other kinds of things, right?

288:53But now that you've got literally like a billion Indians

288:56who've just come online, okay,

288:58you have this huge pool of folks

§38Transcript · 4:48:59–4:56:42

288:59who have a different attitude towards medicine.

289:01For example, it's a lot more cash payment over there.

289:03For example, India is big on generic drugs.

289:06For example, during COVID, it had something called,

289:08has something called Arrogya Setu

289:10which is a national telemedicine app, okay?

289:12The US wasn't able to ship that.

289:13In some ways, India's digital infrastructure,

289:15again, you'll have to read a post called

289:18"The Internet Country" by tigerfeathers.substack.com

289:21and you'll see that actually India's

289:23national software infrastructure is surprisingly good.

289:27It's not as good as China's in some ways,

289:29but it's like better than the US's

289:30which is like health.gov and like non-existent.

289:32It's like kind of impressive

289:33how good some of India's software is.

289:35The fact that it exists is good.

289:37So you have all these new doctors coming online,

289:40India cranks out generics, right?

289:42Telemedicine is now more legal in the US

289:46and you have a cash payment in India, right?

289:49And in a lot of other places,

289:50you don't have the whole insurance, employer health thing.

289:53And this market is growing.

289:55So you could have a sort of parallel market

289:59that starts evolving, right?

290:01Which is, and people are already doing some medical tourism

290:03and I think that's another exit from the FDA.

290:05You have a parallel market that starts evolving

290:07that just starts from fundamentally different premises.

290:09It's just cash, cash for everything, right?

290:13There's downsides with cash for everything.

290:15There's a huge upside with cash for everything.

290:17Cash for everything means

290:17you get customer service from the doctor.

290:20It means the prices are actually visible.

290:23It ideally pushes you again,

290:25towards more ambulatory medicine

290:26rather than ambulance medicine.

290:28It is monitoring, constant monitoring

290:31with the quantified self and whatnot,

290:33as opposed to just let your system fail

290:35and then wheel you in, right?

290:38There's a reputational bridge

290:40because now we've had a couple of generations almost

290:42of Indian doctors in the US.

290:43So people know that there's some very competent

290:47Indian doctors.

290:48There are a good chunk of AMA.

290:49And so they can sort of lobby for this.

290:52And you have plenty of Indian engineers.

290:54Now I'm not saying India alone is a panacea,

290:57but I do think that this is a large enough parallel market

291:00to start doing interesting things.

291:02- And you could see a sort of medical tourism,

291:04medical migration to where it gives India an opportunity

291:08to basically let go of the constraints of the FDA.

291:13- Yeah, because--

291:15- And innovate aggressively.

291:17And I mean, it's just such a huge opportunity

291:20to define the future of medicine

291:22and make a shit ton of money

291:25from a market that's desperate for it in the United States

291:28because of all the over the regulation.

291:30- That's right.

291:31And I think basically it's something where the reason,

291:33it needs to be--

291:33- And that would fix the FDA, sorry to interrupt.

291:35- Yes, we fix the FDA by exiting the FDA, right?

291:38And then the FDA would dry out and then it would hopefully--

291:42- It might reform, it might dry out, right?

291:44And this is why people are, for example,

291:46they're traveling across borders,

291:48they're getting orders from Canadian pharmacies.

291:50A lot of this type of stuff,

291:52we can start to build alternatives, right?

291:54I mean, India's generic industry is really important

291:56because it just doesn't enforce American IP there.

291:59So generic drugs are cheaper, right?

292:02And it's quite competent, it's been around for a while.

292:04So there's enough proof points there

292:06where, again, I'm not saying a panacea,

292:09it's gonna be something which will require

292:11like American and Indian collaboration.

292:13I think there's gonna be a lot of other countries

292:14and so on that are involved.

292:15But you can start to see another pole getting set up,

292:19which is a confident enough civilization

292:22that is willing to take another regulatory path, right?

292:25And that is in some ways doing better

292:27on national software than the US is.

292:29And it has enough of a bridge to the US

292:31that it can be that stimulation which you need,

292:35which is kind of something that outside poke, right?

292:37I wanna talk about India,

292:39but let me just kind of wrap up

292:41on this big FDA biomedical kind of thing, right?

292:44With the book, "The Network State",

292:47the purpose of "The Network State",

292:49I want people to be able to build

292:51different kinds of network states.

292:52I want people to build the vegan village.

292:55I want people to be able to build a,

292:58if they wanna do the Bendic option,

292:59like a Christian network state.

293:01If people wanna do different kinds of things,

293:03I'm open to many different things

293:05and I will fund lots of different things.

293:07For me, the motivation is just like you needed

293:10to start a new currency, Bitcoin.

293:15It was easier to do that than reform the Fed.

293:16I think it's easier to start a new country

293:18than reform the FDA.

293:18And so I wanna do it to, in particular, get to longevity,

293:22right, meaning longevity enhancement, right?

293:24And what does that mean?

293:25So in an interesting way,

293:27and this will sound like a trite statement,

293:28but I think it's actually a deep statement

293:30or let me hopefully try to convince you it is.

293:32Crypto is to finance sort of what longevity is to,

293:36you know, the currency to medicine.

293:38Why?

293:39It inverts certain fundamental assumptions.

293:42Okay, so at first crypto looks like traditional finance.

293:44It's got the charts and the bands

293:47and you're buying and selling and so on.

293:49But what Satoshi did is he took fundamental premises

293:52and flipped them.

293:52For example, in the traditional macroeconomic worldview,

293:57hyperinflation is bad, but deflation is also bad.

294:00So a little inflation is good, right?

294:04In the traditional macroeconomic worldview,

294:06it's good that there are custodians, banks,

294:09that, you know, kind of intermediate the whole system,

294:11right?

294:12In the traditional, you know, worldview,

294:14every transaction needs to be reversible

294:17because somebody could make a mistake

294:19and so on and so forth, right?

294:21In the traditional worldview,

294:22you don't really have root access over your money.

294:24Satoshi inverted all of those things, okay?

294:29Obviously, you know, the big one is hyperinflation is bad,

294:33but he also thought mild inflation was bad

294:35and deflation was good.

294:36That's just a fundamental shift, okay?

294:39He gave you root access over your money.

294:41You're now a system administrator of your own money.

294:42You can room-RF your entire fortune

294:46or send millions with a keystroke.

294:47You are now the system administrator of your own money.

294:48That alone is why cryptocurrency is important.

294:50If you want system administration access at times

294:53to computers, you'll want it to currency, right?

294:55To be sovereign.

294:57You know, there's other assumptions where like

294:58the assumptions, every transaction is private

295:00in the existing system by default,

295:02or it's visible only to the state.

295:04Whereas at least the initial, you know,

295:06the Bitcoin blockchain, everything is public, right?

295:08There are various kinds of things like this

295:10where he just inverted fundamental premises.

295:13And then the whole crypto system is in,

295:16the crypto economy is in many ways a teasing out

295:19of what that means.

295:21Just to give you one example, the US dollar,

295:24people have seen those graphs where it's like inflating

295:26and so it just like loses value over time

295:29and you've seen that, okay?

295:30Whereas, and most of the time it's just sort of denied

295:34that it's losing any value.

295:35The most highbrow way of defending it

295:39is the US dollar trades off temporary short-term

295:44price stability for long-term depreciation.

295:47And Bitcoin makes the opposite trade-off.

295:50In theory, at least, long-term appreciation

295:54at the expense of short-term price instability.

295:58Because like, you know,

295:59there's the whole plunge protection team and so on.

296:01Basically, there's various ways in which price stability

296:05is tried to be maintained in the medium term

296:08at the expense of long-term depreciation.

296:09You need like a reserve of assets to keep, you know,

296:11stabilizing the dollar against various things.

296:13So what does crypto medicine look like

296:16relative to fiat medicine to make the same analogy, right?

296:19The existing medical system,

296:21it assumes that a quick death is bad,

296:25an early death is bad,

296:26but also that living forever is either unrealistic

296:30or impossible or undesirable,

296:32that you should die with dignity or something like that,

296:35okay?

296:36So a little death is good.

296:38That's the existing medical system.

296:40Whereas the concept of life extension

296:42and, you know, David Sinclair and, you know,

§39Transcript · 4:56:45–5:04:50

296:45what do you call it?

296:46Healthspan says, rejects that fundamental premise.

296:49And it says, actually, the way to defeat cancer

296:52is to defeat aging.

296:53Aging is actually a programmed biological process.

296:56And we have results that are showing stopping

297:00or even reversing aging in some ways.

297:02And so now, just like with the other thing,

297:06you say a quick death is bad,

297:09and so is actually death itself, right?

297:12So we actually want significant life extension.

297:15This is similar.

297:16It's very similar to what, you know,

297:18the rejection of the fiat system, right?

297:22The fiat system says, a little inflation is good.

297:25Fiat medicine says, a little death is good.

297:28Bitcoin says, actually, no inflation,

297:30just get more valuable over time.

297:32And crypto medicine says, actually, let's, you know,

297:35extend life.

297:36This leads to all kinds of new things

297:38where you start actually thinking about,

297:40all right, how do I maintain my health with,

297:43you know, diagnostics?

297:45How do I, you know, take control of my own health

297:48with the decentralization of medicine?

297:50All the stuff that I've been describing

297:52sort of fits, like, longevity is traditional medicine

297:55as crypto is to traditional currency.

297:58- If we take those assumptions separately,

298:00so we take cryptocurrency aside,

298:02is that to you obvious that this,

298:07letting go of this assumption about death,

298:10is that an obvious thing?

298:12Is longevity obviously good?

298:15Versus, for example, the devil's advocate to that would be,

298:19what we want is to keep death

298:22and maximize the quality of life up until the end.

298:26- Well-- - Like, so that

298:28you're right into the sunset, healthy.

298:31- Somebody who was listening to the whole podcast

298:32would say, well, Balaji, just a few hours ago,

298:35you were saying this gerontocracy runs the US

298:37and they're all old and they don't get it, blah, blah, blah.

298:39And now you're talking about making people live forever,

298:41so there's never any new blood to wash it out.

298:43Ha ha, what a contradiction, right?

298:44- It's funny that you're so on point

298:48across all the topics we covered

298:51and the possible criticism, I love it.

298:53- Well, just trying to anticipate, you know, some--

298:55- Yeah, good, well done, well done, sir.

298:58- I think the argument on that is,

299:00so long as you have a frontier,

299:03it is okay for someone to live long, okay?

299:06So long as people can exit to a new thing, number one.

299:09Number two is, in order for us to go and colonize

299:13other planets and so on, if you do wanna get to Mars,

299:16if you wanna become Star Trek and what have you,

299:19probably gonna need to have,

299:23just to survive a long flight, so to speak,

299:28multiple light year flight,

299:30you're gonna need to have life extension.

299:32So to become a pioneering interstellar kind of thing.

299:35I know that, it's the kind of thing which sounds like,

299:38okay, yeah, and when we're on the moon,

299:40we're gonna need shovels.

299:42It sounds like a piling a fantasy

299:47on top of a fantasy in that sense,

299:48but it's also something where,

299:49if you're talking about the vector of our civilization,

299:51where are we going?

299:52Well, I actually do think it's either anarcho-primitivism

299:55or optimalism/transhumanism.

299:58Either we are shutting down civilization, it's degrowth,

300:01it's Unabomber, et cetera, or it's the stars

300:05and escaping the prime number base.

300:07- It's like, to me, it's obvious that we're going to,

300:12if we're to survive, expand out into space.

300:15- Yes.

300:16- And it's obvious that once we do,

300:20we'll look back at anyone, which is currently most people,

300:24that didn't think of this future,

300:27didn't anticipate this future,

300:28worked towards this future as Luddites,

300:31like as people who totally didn't get it.

300:34It'll become obvious.

300:35Right now it's impossible, and then it'll become obvious.

300:38- Yes.

300:39- It seems like, yes, longevity in some form,

300:42I mean, there could be a lot of arguments

300:43of the different forms longevity could take,

300:46but in some form, longevity is almost a prerequisite

300:50for the expansion out into the cosmos.

300:52- That's right.

300:53- Expansion of longevity.

300:54- There's also a way to bring it back to Earth

300:55to an extent, which is how were societies used to be judged?

300:58You may remember, people used to talk about life expectancy

301:01as a big thing, right?

301:04Life expectancy is actually a very, very, very good metric.

301:06Why?

301:07It's a ratio scale variable.

301:09There's like four different class of variables

301:11statisticians talk about.

301:12Ratio scale is like years or meters or kilograms, okay?

301:16Then you have interval scale,

301:18where plus and minus means something,

301:19but there's no absolute zero.

301:21Then you have ordinal, where there's only ranks,

301:23and plus and minus don't mean anything,

301:24and then you have categorical,

301:25like the Yankees and the Braves are categorical variables,

301:29they're just different,

301:30but all you have is the comparator operator,

301:32whether you have a quality, you don't have a rank, okay?

301:34So ratio scale data is the best

301:37because you can compare it across space and time.

301:39If you have a skeleton that is like, you know,

301:43two meters tall, that's from 3000 years ago,

301:46you can compare the height of people

301:49from many, many years ago, different cultures and times,

301:51right?

301:52Whereas their currency is much harder to value,

301:53that's not like a ratio scale variable.

301:55Other things are harder to value across space and time,

301:57right?

301:58So life expectancy is good because,

302:01as a ratio scale variable, it's a very clear definition,

302:03right, like when someone born and died,

302:05those are actually relatively clear.

302:07But most other things aren't like that.

302:11You know, that's why murder or death,

302:14that, you know, it can be scored, it's unambiguous,

302:18you know, it's done when it's done,

302:19whereas when did somebody get sick?

302:21Oh, well, they were kind of sick,

302:23or they were sick today, they were sick at this hour,

302:25the boundary conditions, many other kinds of things

302:27are not like clear cut like that, right?

302:28- And I should just briefly comment

302:30that life expectancy does have this quirk,

302:33a dark quirk that it, when you just crudely look at it,

302:38is incorporates child mortality,

302:41mortality at age of one or age of five,

302:45and maybe it's better and clearer to look at mortality

302:50after five or whatever.

302:54And that's still, those metrics still hold

302:56in interesting ways and measure the progress

302:58of human civilization in interesting ways.

303:00- That's right.

303:01You actually want longevity biomarkers.

303:02A lot of people are working on this.

303:04There's a book called "The Picture of Dorian Gray,"

303:06and the concept is sell your soul to, you know,

303:09ensure the picture rather than he will age and fade, right?

303:13And so the concept is that that thing on the wall

303:16just reflects his age and you can see it, okay?

303:18So there's a premise that's embedded

303:20in a lot of Western culture that

303:22to gain something you must lose.

303:24If you're Icarus and you try to fly,

303:26then you'll fly too high and it'll melt your wings.

303:30But guess what?

303:31We fly every day, commercial air flight, right?

303:33So the opposite of like the Icarus

303:36or "Picture of Dorian Gray" kind of thing

303:37is the movie "Limitless," which I love

303:40because it's so Nietzschean and so unusual

303:42relative to the dystopian sci-fi movies

303:45where there's a, without giving, right?

303:46I mean, the movie's kind of old now,

303:47but there's a drug in it that's a nootropic

303:51that boosts your cognitive abilities

303:53and it's got side effects, but at the end,

303:55he engineers out the side effects.

303:57Amazing, just like, you know,

303:59yeah, there were planes that crashed and we land, right?

304:00Okay, so why did I mention the "Picture of Dorian Gray?"

304:02Well, there's another aspect of it,

304:03which is longevity biomarker.

304:06The point is to kind of estimate

304:07how many years of life you have left

304:09by that Q.bio or Integrome,

304:14or you take all these analyses on somebody, right?

304:17One of the best longevity biomarkers

304:19could be just your face, right?

304:22You image the face and you can sort of tell,

304:25oh, somebody looks like they've aged,

304:26oh, someone looks younger, et cetera, et cetera.

304:29And this is actually data that you've got

304:31on millions and millions of people

304:33where you could probably start having AI predict,

304:37okay, what is somebody's life expectancy

304:40given their current face and other kinds of things, right?

304:42Because you have their name, they have your birth date,

304:44you have their, you know, date they passed away

304:46if they've already passed away, right?

304:48And you have photos of them through their life, right?

304:50So just imaging might give

§40Transcript · 5:04:52–5:13:06

304:52a reasonably good longevity biomarker,

304:55but then you can supplement that

304:56with a lot of other variables.

304:59And now you can start benchmarking every treatment

305:02by its change in how much time you have left.

305:06If that treatment, that intervention

305:08boosts your estimated life expectancy by five years,

305:14you can see that in the data.

305:16You can get feedback on whether your longevity

305:20is being boosted or not, okay?

305:22And so what this does,

305:24it just fundamentally changes the assumptions in the system.

305:26Now, with that said, you know,

305:29life extension may be the kind of thing,

305:31I'm not sure if it'll work for our generation.

305:33We may be too late.

305:34It may work for the next generation.

305:35- Wouldn't that make you sad?

305:37- Well, I've got something.

305:38- To the last generation.

305:40- Could be, but I've got something for you,

305:42which is, I call it genomic reincarnation, okay?

305:46This one you probably haven't heard before.

305:47I've tweeted about it, okay?

305:49- By the way, good time to mention that your Twitter

305:53is one of the greatest Twitters of all time,

305:55so people should follow you.

305:56- Well, Lex Friedman has one of the greatest podcasts

305:58of all time.

305:59You guys should listen to the Lex Friedman podcast,

306:01which you may be doing, right?

306:03- Which you may be doing right now.

306:04- Yes. - Yeah.

306:05- Well, thank you.

306:06- What was the term again?

306:07Sorry, genomic--

306:09- Sorry, I call it genomic, not resurrection,

306:11but genomic reincarnation, okay?

306:13So here's the concept.

306:15You may be aware that you can synthesize strands of DNA,

306:18okay?

306:19There's sequencing of DNA, which is reading it,

306:22and synthesizing DNA, which is creating strands of DNA.

306:25What's interesting is you can actually also do that

306:28at the full chromosome level for bacterial chromosomes.

306:33Remember that thing I was saying earlier

306:34about the minimum life form that Craig Venter made?

306:37So people have synthesized entire bacterial chromosomes,

306:41and they work.

306:42Like, they can literally essentially print out

306:44a living organism, all right?

306:46Now, when you go from bacteria to eukaryotes,

306:51which are the kingdom of life that we're a part of, right?

306:56Yeast are part of this kingdom and so on.

306:58It becomes harder because the chromosomes

306:59are more complicated.

307:00But folks are working on eukaryotic chromosome synthesis.

307:04And if you spot me that sci-fi assumption

307:06that eventually we'll be able to take your genome sequence,

307:10and just like we can synthesize a bacterial chromosome,

307:14we can synthesize not just one eukaryotic chromosome,

307:16but your entire complement of chromosomes in the lab,

307:18right, 'cause you have 23, and 46, whatever,

307:22you take the pairs.

307:23What you can do is potentially print somebody out from disk,

307:27reincarnate them, insofar if your sequence determines you.

307:34And you can argue with this 'cause there's epigenetics

307:36and other stuff, okay?

307:37But let's just say at a first order,

307:39your DNA sequence is Lex.

307:41You can sequence that, okay?

307:43You can do full genome sequencing and log that to a file.

307:47Then here's the karma part.

307:50Your crypto community, where you've built up

307:53enough karma among them, if when you die,

307:57your karma balance is high enough,

308:00they will spend the money to reincarnate the next Lex,

308:04who can then watch everything that happened

308:08in your past life, and you can tell them something.

308:12- Mm-hmm.

308:13- Everything I described there, I mean,

308:14if you spot me eukaryotic chromosome synthesis,

308:18that's the only part that I think will be possible, right?

308:23Folks are working on it, I'm sure someone will mention it.

308:25- Right, it's essentially a clone.

308:27- It's like a clone, right?

308:29But it is you in a different time.

308:34- You're in a different time,

308:35but you don't unfortunately have the memories.

308:37Well, you could probably watch the digest of your life,

308:42and it would be pretty interesting, right?

308:45I mean-- - Yeah, that's actually

308:47a process for psychology to study.

308:50If you create a blank mind, what would you need

308:53to show that mind to align it very well

308:57with the experiences, with the fundamental experiences

309:02that define the original version,

309:04such that the resulting clone would have

309:08similar behavior patterns, worldviews, perspectives,

309:10feelings, all those kinds of things.

309:14- Potentially, right?

309:16- Including, sadly, enough traumas and all that.

309:18- Or what have you, right?

309:19But basically, just in a very simple version of it,

309:22by the time one is age 20 or 30,

309:26or something to meet your 20s,

309:27you'll learn your own personal operating system.

309:30You'll be like, "Oh, alcohol really doesn't agree with me,"

309:33or something like that.

309:34Just by trial and error, things that are idiosyncratic

309:37to your own physiology, like, "Oh, I'm totally wrecked

309:41"if I get seven hours of sleep versus nine hours,"

309:44or whatever it is, right?

309:45People will have different kinds of things like this.

309:47That manual can be given to your next self,

309:51so you can go, "Don't do this, do this,

309:52"don't do this, do this," right?

309:53To some extent, personal genomics

309:54already gives you some of this,

309:56where you're like, "Oh, I'm a caffeine,

309:57"or a slow metabolizer, oh, that explains X or Y,"

310:01or, "I have a weird version of alcohol, dehydrogenase,

310:04"oh, okay, that explains my alcohol tolerance."

310:06So this is part of the broader category

310:08of what I call practical miracles, right?

310:10So it's longevity, it's genomic reincarnation,

310:14it is restoring sight, and it is curing deafness

310:17with the artificial eyes and artificial ears.

310:22It is the super soldier serum, did I show you that?

310:26So like, Myostat and Null, a tweet about this,

310:29basically, X-Men are real.

310:32So here is a study from NEGM from several years ago, okay?

310:37What is this, this is like the mid-2000s.

310:43This was in 2004, okay?

310:46So it's now 17 years later, it's probably,

310:48this is almost certainly a teenager by now.

310:51So this kid basically was just totally built.

310:56- Yeah. - Okay?

310:58Extraordinarily muscular. - Like, very muscular,

311:00at a very young age. - Yes.

311:03So the child's birth weight was in the 73th percentile,

311:05he appeared extraordinarily muscular,

311:07protruding muscles in his thighs,

311:08motor and mental development has been normal.

311:10Now at four and a half years of age,

311:11he continues to have increased muscle bulk and strength.

311:14And so, essentially, Myostatin mutation

311:17associated with gross muscle hypertrophy in a child.

311:19So this is like real life X-Men, okay?

311:22And-- - And there's pictures

311:24of animals. - Yes.

311:27So there's a company called Variant Bio

311:29that is looking at people

311:30who have exceptional health-related traits,

311:33and is looking for essentially this kind of thing,

311:35but maybe more disease or whatever related, right?

311:38For example, people who have natural immunity to COVID.

311:40Understanding how that works,

311:41perhaps we can give other people

311:42artificial immunity to COVID, right?

311:45If you scroll up, you see my kind of tweet,

311:47"Super soldier serum is real,"

311:49where it's like wild type mouse and a Myostatin null.

311:52And look at the chest on that thing.

311:54You see the before and after.

311:56- Wow. - Okay?

311:57This is what's possible.

312:00This could be us, but you're regulating.

312:02You know, right?

312:03You're not saying like, "This could be us, but you're playing."

312:04This could be us, but the FDA regulating, right?

312:07All this-- (Lex laughing)

312:09Okay? - Oh, yeah.

312:11On steroids.

312:12- But it's not, that's the thing is--

312:13- But it's not steroids.

312:15- Well, that's the thing is people,

312:17again, you go back to the Icarus thing.

312:19They think, "Oh, steroids.

312:21"Well, that's definitely gonna give you cancer,

312:23"screw up your hormones," et cetera, et cetera.

312:25And it could, but you know what?

312:27Like, have we actually put in that much effort

312:30into figuring out like the right way

312:33of doing testosterone supplementation

312:35or the right way of doing this?

312:36Obviously, we've managed to put a lot of effort

312:40into marijuana, increasing the potency of it

312:42or what have you.

312:43Could we put the effort into these kinds of drugs, right?

312:46Or these kinds of compounds?

312:48Maybe.

312:49I think that would actually be a really good thing.

312:51The thing about this is I feel this is just

312:53a massively underexplored area

312:56rather than people drinking caffeine all the time.

312:58That's a very mild enhancing drug, okay?

313:02Nicotine is also arguably kind of like that.

313:04Some people have it even without the cigarettes, right?

313:06Why can't we research this stuff?

§41Transcript · 5:13:09–5:21:42

313:09One way of thinking about it is Lance Armstrong,

313:11the cyclist, yes, he violated all the rules.

313:16You know, he shouldn't have won the Tour de France

313:18or anything like that.

313:20But his chemists, and I say this somewhat tongue in cheek,

313:22but also his chemists are candidates

313:25for like the Nobel Prize in chemistry

313:27because they brought a man back from like testicular cancer

313:31to like winning Tour de France against a bunch of guys

313:34who probably, you know, a bunch of them

313:35were also juiced or whatever, right?

313:37Whatever was done there,

313:40take it out of the competition framework.

313:42There's a lot of testicular cancer patients

313:43or cancer patients period who would want some of that.

313:46And we should take that seriously.

313:50We should take that pursuit really, really, really seriously.

313:52Yes, except again, just like the Theranos stuff,

313:55all this pathologize.

313:56Oh, it's a Balico scandal.

313:57Oh, it says, oh my God, you know?

313:59And yes, of course,

314:00within the context of that game, they're cheating.

314:02When the context of life, you want to be cheating death.

314:06- Yes. - Right?

314:07So it's just a kind of a reframe on what is good, right?

314:12And it is just taking away these assumptions

314:15that mild inflation is good or mild death is good

314:18and going towards transcendence.

314:20So that gets me done with the giant FDA,

314:24biomedical, et cetera, et cetera.

314:25- Longevity, yeah.

314:26- Okay. - That is beautifully,

314:27beautifully done.

314:28- You have two questions.

314:29One was on Trump and deplatforming

314:31and the other was on crypto and the state of crypto

314:33and the third is on India.

314:34Which one should we do?

314:35- All right, since we talked about how to fix government,

314:38we talked about how to fix health, medicine, FDA, longevity,

314:43let us briefly talk about how to fix social media, perhaps.

314:50- Sure, very important. - Since we kind of talked

314:53about it from different directions,

314:54but it'd be nice to just look at social media.

314:57And if we can perhaps first, as an example,

315:00maybe it's not a useful example,

315:02but to me it was one that kind of shook me a little bit,

315:05is the removal of Trump and since then other major figures,

315:10but Donald Trump was probably the biggest person ever

315:15to be removed from social media.

315:16Do you understand why that was done?

315:19Can you steel man the case for it and against it?

315:22And if there's something broken about that,

315:26how do we fix it?

315:27- Steel man the case for is kind of obvious

315:29in the sense of you are seeing a would-be dictator

315:34who is trying to run a coup against democracy,

315:36who has his supporters go and storming

315:40the seat of government, who could use his app

315:44to whip up his followers across the country

315:47to reject the will of the people.

315:50And so you're an executive and you'll take actions

315:55that while perhaps controversial are still within the law

315:58and you'll make sure that you do your part

316:01to defend democracy by making sure

316:03that at least this guy's megaphone is taken away

316:06and that his supporters cannot organize more riots.

316:08That's basically the case for the deplatforming.

316:12Okay, would you agree with that?

316:15That's fair.

316:15- So it's like really steel manning it.

316:18- You asked to steel man, so I'm giving the for case, yeah.

316:20- Well, I guess I would like to separate

316:23the would-be dictator.

316:26Oh, I guess if you're storming the Capitol,

316:30you are a dictator, I see, I see.

316:32So those are two are interlinked, right?

316:37You have to have somehow a personal judgment of the person.

316:41- Bad enough to be worth this significant step.

316:46- Yeah, it's not just their actions or words

316:48in a particular situation, but broadly,

316:50this person is dangerous. - The context of everything

316:52that led up to this moment and so on, right?

316:54So that's the for case, right?

316:56Now, the against case.

316:57There's actually several against cases, right?

316:59There's obviously the Trump supporters against case.

317:02There is the sort of the libertarian/left libertarian

317:07against case, and there is the rest of world against case.

317:15There's actually three, 'cause it's not just two factions,

317:17there's multiple, right?

317:19So what is the Trump supporter against case?

317:21There's an article called "The Secret Bipartisan Campaign

317:23That Saved the 2020 Election," right?

317:26Which came out a few weeks after the inauguration,

317:30like February 4th, 2021.

317:32And essentially, the Trump supporter would read this

317:35as basically saying, in the name of defending democracy,

317:39they corrupted democracy,

317:41whether it was actually vote counts

317:44or just changes of all the rules

317:45for mail-in ballots and stuff,

317:47there were regular meetings between the Chamber of Commerce

317:49and AFL and the unions.

317:52In particular, they admit that the BLM riots

317:55of the mid-2020s were actually on a string

317:58and they could say, "Stand down," right?

318:00So that's actually, that's a quote from this article

318:03where it's like, "The word went out, 'Stand down,'

318:06protected results announced that it would not be activating

318:08the entire national mobilization network today,

318:10but remains ready to activate if necessary.

318:12Hothoser credits the activists for their restraint."

318:15So basically, "The activists re-oriented

318:18the protected results protest

318:19towards a weekend of celebration."

318:21So point being that the fact that,

318:24the Trump supporter would say,

318:26the fact that they could tell them to stand down

318:28meant that the previous unrest was in part coordinated.

318:33And so they'd say, "Okay, so that makes it illegitimate

318:37in a different way," right?

318:37Plus, well, there was one riot on Jan 6th

318:40versus the attacks on the White House and stuff,

318:43there was a storming of the White House in mid-2020,

318:45and didn't actually storm the White House,

318:46but they're setting fires outside

318:48and there's quite a lot of stuff, right?

318:50So the second against case is the,

318:52let's say libertarian/left libertarian who'd say,

318:55"Do we really want giant corporations,

319:00regardless of what you think about Trump,

319:02and you don't have to be a Trump supporter,

319:04do you really want giant corporations to be determining

319:06who can say what on the internet?

319:08And if they can de-platform a sitting president

319:11and the quote, "most powerful man in the world,"

319:14he's not the most powerful man in the world.

319:16In fact, the quote, "people" are electing a figurehead,

319:21and actually it's the heads of network

319:22that are more powerful than the heads of state, right?

319:26That the fact that the CEOs of Facebook and Twitter

319:30and Google and Apple and Amazon

319:32all made those decisions at the same time

319:35to not just de-platform Trump from Twitter,

319:37which literally billions of people around the world saw,

319:39but also censor or stop on Facebook,

319:42and to have Google and Apple pull Parler out of the App Store

319:45and Amazon shut down the backend,

319:47that would be corporate collusion by any other name.

319:50It's actually very similar

319:51to the so-called business plot against FDR.

319:54FDR was a complicated figure

319:59who can in some ways best be thought of

320:01as the least bad communist dictator

320:04or socialist dictator of the 20th century.

320:06Why?

320:07Because he nationalized the economy,

320:09repealed the 10th Amendment, right?

320:11Tried to pack the courts.

320:13He sicced the government on all of his enemies

320:16from Huey Long to Andrew Mellon.

320:19Obviously he interned the Japanese,

320:20which shows that wasn't really totally a good guy, right?

320:23We don't usually think about the same guy

320:24who did this, did that.

320:25Earlier in his life, most people don't know this one,

320:28he led a whole Navy thing to entrap gay sailors.

320:33And did you know about this one?

320:34- No. - Yeah.

320:35Google FDR entrapment of gay sailors.

320:36Basically he got young men to try to find folks

320:41within the Navy who were gay

320:42and then basically entrap them

320:46so that they could be prosecuted and what have you, right?

320:49FDR did a lot of stuff,

320:50but fundamentally nationalized the economy

320:53and set up the alphabet soup,

320:55is what they called it at the time.

320:56And that's like all these agencies or whatever.

320:58And in some sense, he's like continuous,

321:01there'd been a rising trend of centralization.

321:05Woodrow Wilson, obviously centralized,

321:07Lincoln centralized, right?

321:08Even actually 1789 was a degree of centralization

321:12over the more loose thing that was 1776, 1789.

321:16So he was on that trend line,

321:17but he was definitely a huge kind of dog leg up.

321:20So the thing is that because of all the lawsuits

321:22that were flying, many folks like Amie Schlaes

321:26has written a book, "The Forgotten Man."

321:28And essentially her thesis

321:29and thesis of many others at that time,

321:31like John T. Flynn, who's this journalist

321:32who was pro FDR and then was against,

321:35was that FDR made the Great Depression great.

321:37Okay, that it wouldn't have been such a bad thing

321:40without him mucking up the entire economy

321:42and giving it a sickness.

§42Transcript · 5:21:43–5:29:31

321:43It would have recovered quickly without that, right?

321:45This is a counterfactual,

321:46which people just argue about it

321:48really angrily back and forth.

321:49And you can't actually run the experiment

321:52unless you could fork the economy, right?

321:54Just like where the bailouts good or bad.

321:55I think they were bad, but how could I prove it?

321:57I'd need to actually be able to fork the economy.

321:59Crypto actually allows you in theory to do that.

322:01Like where folks could actually shift balances.

322:03This is a whole separate thing

322:04where you can actually start to make macroeconomics

322:06into more of an experimental science

322:07rather than simply arguing from authority.

322:09You could argue from experiment.

322:11Some of the virtual economy stuff

322:12that Edward Castronova has done is relevant to this.

322:15We can talk about that.

322:16Point is though with FDR,

322:17there's this thing because he had

322:19breached such a war on private industry at that time

322:23and justified it with this narrative,

322:24quote, bold, persistent experimentation.

322:26There was something called the quote, business plot

322:27where all of these captains of industry

322:29that he'd been beating up.

322:31And again, Teddy Roosevelt had also been doing this

322:33with the trust buster.

322:36The journos at the time, Ida Tarbell had gone

322:38and basically ran all these articles on Rockefeller

322:41and knocked them down, Woodrow Wilson and Skid Row.

322:43But FDR, the CEOs were thinking,

322:46"Oh, bad, this is so terrible."

322:48There's a so-called business plot

322:50to try to take over the government

322:52and stop FDR from pushing the country

322:56in what they thought was a bad direction.

322:57Smedley Butler was a general that they recruited

323:00to try to help them with this,

323:01but he turned on them and he went

323:03and kind of broke the whole thing open

323:05and told to Congress and so on.

323:07And so all these guys, the whole plot was broken up.

323:12Now, one way of thinking about today

323:14or the whole aftermath of Jan 6th

323:17is it's a business plot, but in reverse

323:18because the generals and the CEOs both were against Trump

323:23and actually the business plot happened

323:25and now all the CEOs just,

323:27they pushed all the buttons that they needed to.

323:30And now the network was prime over the state.

323:34Now, why is that an interesting way of looking at it?

323:37Because one thing I have in the book

323:39is you can kind of think of 1950

323:42as like issues peak centralization.

323:44You go forward and backward in time, things decentralize.

323:48And you start getting mirror image events

323:51that happen with the opposite outcome.

323:52For example, 1890, the frontier closes.

323:561991, the internet frontier opens.

323:58Internet becomes open for commerce.

324:00You go backwards in time, you have the Spanish flu,

324:02forwards in time, COVID-19.

324:03Backwards in time, you have the captains of industry,

324:08the robber barons.

324:10Forwards in time, you have the tech billionaires.

324:12And there's so many examples of this.

324:14Like another one is backwards in time,

324:17the New York Times is allying with Soviet Russia

324:20to choke out Ukraine.

324:21Now today, they have reinvented themselves

324:24as cheerleaders for Ukraine against nationalist Russia.

324:28And of course, I think you could absolutely support Ukraine

324:30on other measures, but it's pretty hypocritical

324:32for the guys who profited from the Haldimor.

324:35The Oxelsberg family literally profited

324:37from denying the Haldimor to now make themselves cheerleaders

324:40for Ukraine.

324:41It's actually this insane thing, which we can talk about.

324:42- A tiny tangent on that.

324:44You put it brilliantly.

324:46And a reminder for anyone who listens to me

324:49talk about Ukraine, it is possible to have empathy

324:53for a nation and not be part of the machine

324:56that generates a mainstream narrative.

324:58- Yes, that's right.

324:59Like basically, I was actually one of the first

325:02of three Estonian EU residents, okay?

325:06And I completely understand why Estonia and the Baltics

325:09and all these countries, including Ukraine,

325:11that just recently within living memory

325:12got their independence from the Soviet empire

325:15would not wanna be forcibly reintegrated

325:18into a place that they just escaped from.

325:20And so that is something which is sort of outside

325:23the American left, right, tired kind of thing,

325:27where when you understand it from that point of view,

325:29then there's like a fourth point of view,

325:31which is like India's point of view,

325:33or like much of the developing world,

325:35or what I call parts of it are ascending,

325:38parts are descending, whatever.

325:39But much of the rest of the world

325:41outside of that border region says,

325:43"Look, we're sympathetic to the Ukrainians,

325:45"but we can't allow our people to starve.

325:48"So we're gonna maintain trade."

325:50And guess what, actually, we've got a lot of wars

325:52in our neck of the woods and human rights crises

325:54that Europe just didn't even care about.

325:56So it can't be that Europe's problems

325:57are the world's problems,

325:58but the world's problems are not Europe's problems, right?

326:00So that's like a fourth point of view.

326:01And a fifth point of view is China, which is like,

326:03guess what, we're gonna be the Iran of the Iraq war,

326:06where like who won the Iraq war?

326:07Iran, arguably, because they extended their influence

326:09into Iraq, right?

326:10So China's like, guess what, we're gonna turn Russia

326:12into our gas station and build a pipeline.

326:14They're building, there's a power,

326:15Siberia's like the name of the Eastern Russia pipeline,

326:18just like Nord Stream is,

326:19Nord Stream One and Nord Stream Two.

326:21I think they're building a new pipeline through Mongolia.

326:24So Xi Jinping and Putin and the Mongolian head of state

326:28were all photographed kind of thumbs upping this pipeline.

326:30We'll see if it goes through,

326:31but it's ironic that Russia wanted to make Ukraine

326:36their colony, but the outcome of this war

326:40may be that Russia becomes China's colony.

326:42So that's at least like five different perspectives, right?

326:45There's like the US establishment perspective,

326:47there's the Tucker-MAGA perspective,

326:51there's the Baltics and Ukrainian perspective,

326:54there's like the Indian and like poor countries perspective

326:56and then there's the Chinese perspective

326:57and then of course there's the Russians, right?

326:58So just respect to that, by the way,

327:02that's another example of history happening in reverse.

327:04This is the sign of Soviet partnership,

327:07except this time, China's the senior partner

327:10and Russia's the junior partner,

327:11and this time they're both nationalists rather than communist

327:13and there's so many flips like this

327:16and I'm gonna list a few more actually

327:19because there's so, so, so many of them.

327:21- Do you have an explanation why that happens?

327:23- Yes, let me just list a few of them.

327:25This is in the "The Network State" book,

327:27it's in the chapter called

327:29"Fragmentation, Frontier, Fourth Turning,

327:31Futures are Past," right?

327:33So I give this example of like a fluid unmixing,

327:38all right, just watch this for a second, all right?

327:41- This is from "Smarter Every Day,"

327:43"Unmixing Color Machine, Ultra-Limited Reversible Flow,

327:47Smarter Every Day, 217."

327:50- And so you can mix something

327:52and then like this thing that you don't think of

327:54as reversible, you can unmix it,

327:56which is insane, right, that it works.

327:59Okay, the physics of that situation, it just works, right?

328:02- So for people just listening,

328:04that there is whatever the mixture this is,

328:07this is ultra-laminar reversible flow,

328:09so this probably has something to do with the material.

328:12We're used to mixing not being a reversible process.

328:17- Exactly. - And that's what that shows

328:19and then he then reverses the mixing

328:22and is able to do it perfectly.

328:24- That's right, so that's like the Futures are Past thesis.

328:27- It shows that free will is an illusion, just kidding.

328:29- Well, basically there's some environments

328:33where the equations are like time symmetrical, right?

328:36And this is one model, sort of,

328:39it's just an interesting visual model

328:40for what's happening in the world

328:42as we re-decentralize after the centralized century, right?

328:45So basically, I mentioned the internet frontier reopens

328:50back in the Western frontier closed,

328:51today we experienced COVID-19,

328:53back then we experienced the Spanish flu,

328:55tech billionaires, and we have the capital industry, right?

328:56Today, founders like Elan and Dorsey

328:59are starting to win against establishment journalists.

329:02Back then, Ida Tarbell demagogued and defeated Rockefeller.

329:06I think net-net founders win this time versus the journos.

329:09Back then, the journos won over the founders, okay?

329:12Today we have cryptocurrencies,

329:13back then we had private banking.

329:15Today, this is an amazing one,

329:17we have a populist movement of digital gold advocates.

329:21Back then, 'cause Bitcoin maximalists and so on,

329:23where gold has become populist

329:25because it's against the printing money and so on and so forth.

329:28Back then, we had a populist movement against gold

329:31in the form of William Jennings Bryan

§43Transcript · 5:29:32–5:36:03

329:32and the cross of gold speech.

329:34Gold was considered a tool of big business.

329:36Now, gold is the tool against big business

329:39and big government, right?

329:40- Digital gold, yeah.

329:41- Digital gold, right?

329:43Today we have the inflation and cultural conflict

329:45of Weimar-like America.

329:47Back then, we had the inflation

329:48and cultural conflict of Weimar Germany.

329:50Today, in Weimar America,

329:51we have right and left fighting in the streets,

329:53same, unfortunately, in Weimar Germany.

329:55Peter Turchin has written about,

329:57today we have what Turchin considers antebellum-like

329:59polarization, like pre-war polarization.

330:01Back then, if you go further back in time,

330:03we had what we now know to be antebellum polarization, right?

330:06Today we have Airbnb, back then we had flophouses.

330:08Today we have Uber, back then we had gypsy cabs.

330:10So today we see the transition

330:12from neutral to yellow journalism.

330:14Back then, we saw the transition

330:15from yellow to, quote, neutral journalism, right?

330:17And today, figures like Mike Moritz,

330:21he wrote about China's energetic and America's laconic.

330:24But back then, Bertrand Russell

330:25actually wrote this whole long book.

330:27Actually, the mathematician, Bertrand Russell, right?

330:29Wrote this whole long book,

330:30which I didn't even realize he wrote

330:31about these kind of topics,

330:34about the problem of China.

330:36And one of his observations was,

330:38again, I'm not saying this is,

330:39I'm just saying he made this observation.

330:41He was saying that America was energetic

330:44and China laconic at the time,

330:45'cause everybody was in opium dens and so on and so forth.

330:49More examples, the one I just mentioned,

330:50where the Chinese and Russians are again

330:52lining up against the West,

330:53except this time the Chinese are the senior partner

330:55in the relationship rather than the junior partner.

330:57Today, I think in the second Cold War,

330:59there will also be a third world,

331:01but this time I think that third world might come in first,

331:04because it's not the non-aligned movement,

331:05it's the aligned movement around Web3 protocols.

331:08- That's fascinating, yeah.

331:10That's where Nick comes in.

331:12By the way, something we haven't mentioned,

331:13Africa, that there could be very interesting things

331:16in Africa as well.

331:17- Nigeria is actually, Nigeria's has its first tech unicorn,

331:20and I'm investing there.

331:22And I think it's one of these things where China's risen,

331:26India's like about 10 years behind China,

331:29but I think this is the Indian decade in many ways.

331:31We can come back to that point.

331:33But there's absolutely sparks of light in Africa.

331:35I mean, it's a huge continent.

331:37- It feels like the more behind, sorry to interrupt,

331:39the more behind you are,

331:41the more opportunity you have to leapfrog.

331:43- Sometimes, that's right.

331:44And Pesa is a classic example

331:46where they did this in East Africa,

331:48but I think there's more possibility there.

331:51- So what is the fact that there's a kind of symmetry?

331:57- There's a kind of symmetry, right?

332:00- What is that, how did that take us from Trump?

332:03- Trump, okay, yeah.

332:06- The different perspective you took,

332:07the libertarian perspective of it doesn't really matter.

332:12- Yeah, because the libertarian perspective,

332:14or the left libertarian perspective would say,

332:17is it really a good idea to have total corporate power

332:20against the quote elected government,

332:23even if you may disagree?

332:26Do you wanna open the door to total corporate oligarchy?

332:29And it's like the opposite, that's why I mentioned

332:31it's like the opposite of business plots,

332:32and they pulled on that thread, okay?

332:34So the macro explanation that I have for this future

332:38is our past thesis, and there's more,

332:39it also gives some predictions, right?

332:41If you go backwards in time,

332:43the US federalizes into many individual states,

332:47like before the Civil War,

332:48people said the United States are,

332:49and after they said the United States is.

332:51Before FDR, the 10th Amendment,

332:53reserved rights to the states,

332:55afterwards it was just federal regulation of everything.

332:58As we go forwards in time,

332:59you're seeing states break away from the feds

333:01on gun laws, drug laws, sanctuary cities, okay?

333:06Many other kinds of things, you know?

333:08And now Florida, for example, has its own guard

333:12that's like not a national guard, but like a state guard.

333:15Other states are doing this.

333:17- And that's a force of decentralization,

333:19you're saying that parallels in reverse.

333:21- In reverse, right?

333:22So you're having to make America states again.

333:25- Nice.

333:26- Okay, that's what I think happening, right?

333:28I'm not saying, well, I think there's aspects of that

333:31that are good, there's aspects that are bad,

333:32but just like that's kind of the angle, right?

333:36- But then that's, I mean, from your perspective,

333:39that's probably not enough, right?

333:40That's not--

333:42- It's part of the future.

333:43Let's just say--

333:44- I think you, sorry to interrupt,

333:45you suggested all kinds of ways

333:47to build different countries.

333:48I think that's probably one of them.

333:50You said like start micro-countries or something like this.

333:54I forgot the terminology.

333:55- Yeah, micronations.

333:55Yeah, that's not my,

333:57I actually think of them as,

333:58a better term is microstates

333:59'cause they're actually not nations.

334:00That's why they don't work,

334:01but microstates are better, right?

334:03Coming back to the difference

334:04between the nation and the state,

334:05the nation is like,

334:06the nation state is a term that people use

334:09without expanding it,

334:10but nation comes from the same root word as like natality.

334:13So it's like common descent, common birth, right?

334:15Common origin, like the Japanese nation.

334:17That's a group of people that have,

334:19come down from history, right?

334:20- Hence nationalism.

334:21- Yeah, whereas the state

334:22is like the administrative layer above them.

334:24It's like labor and capital,

334:25like labor and management, okay?

334:27The American state stood over the Japanese nation

334:30in 1946 after the war.

334:32- Right.

334:32Oh, so you weren't talking about tradition,

334:34and you know that that doesn't matter.

334:35- Tradition what?

334:36- In terms of like,

334:37I thought you meant nation is a thing

334:39that carries across the generations.

334:41There's a tradition, there's a culture, and so on,

334:43and state is just the management, the layer.

334:45- I mean, that's also another way

334:47of thinking about it, right?

334:48- There's a reversal there as well, okay.

334:50- Yeah, so I mean,

334:51one way of thinking about it is,

334:53you know, one nation under God indivisible

334:56is no longer true.

334:57It is, America is at least two nations,

334:59the Democrat and Republican,

335:01in the sense of their own cultures,

335:03where I can show you graph after graph.

335:05You've seen the polarization graphs.

335:06I can show you network diagrams where,

335:08you know, like there's this graph

335:10of polarization in Congress,

335:11where there's red and blue,

335:12they're separate things.

335:14There's this article from 2017 showing

335:17how, you know, shares on Facebook and Twitter

335:19are just separate subgraphs.

335:20They're just separate graphs in the social network,

335:22and they're pulling apart.

335:23Those are two nations.

335:25They're not under God because people in the US

335:27no longer believe in God,

335:28and they're very much divisible because

335:3196% of Democrats won't marry Republicans

335:33in a high percentage other way.

335:35And what that means is in one generation,

335:37ideology becomes biology.

335:39These become ethnic groups.

335:40It takes on the character of Hutu and Tutsi

335:42or Protestant and Catholic, Sunni and Shiite.

335:44It's not about ideology.

335:45If you think about all the flips during COVID, right,

335:48where people were on one side versus the other side,

335:49it's tribal, it's just tribe on tribe.

335:51And so it's not universalist that identity of American

335:54makes less sense than the identity of Democrat

335:56and Republican right now,

335:57or perhaps the identity of individual states.

335:59What I think that's a good or bad thing,

336:00I think that's unfortunately, you know,

336:01whatever it is, it's the arrow of history, right?

336:03On the opposite side of things,

§44Transcript · 5:36:05–5:43:58

336:05India is actually was 562 princely states

336:08at the time of Indian unification from 1947 to 19,

336:121947 when they got independence from the British,

336:15it was 562 princely states.

336:16Most people don't know that part.

336:17They got, or outside India don't know that part.

336:19It got unified into a republic only by like 1950.

336:22And India is like actually a modern create,

336:25India is like Europe.

336:26It's kind of like the European union in the sense that

336:28we didn't have a unified India in the past.

336:30It was something with a lot of different countries,

336:32like Northern South India or like Gujarat and Tamil Nadu

336:36are as different as Finland and Spain, okay?

336:39But India is moved in the direction

336:41of much more unification, like much more, you know,

336:44centralization or what have you,

336:47whereas the US is decentralized.

336:48And you go, okay, a few more things,

336:50there are flips and I'll finish this off.

336:52Today we're seeing the rise of the pseudonymous founder

336:54in startup societies back all the way back in the 1770s,

336:56we saw pseudonymous founders of startup countries,

336:58namely the US, right?

336:59The Federalist Papers.

337:00Today we're seeing so far unsuccessful calls

337:03for wealth seizures in the US.

337:05Back then we saw FDR's Executive Order 6102,

337:08which was a successful seizure of gold.

337:10I expect we may see something like that,

337:11an attempted seizure of digital gold.

337:13And I think that'll be one of the things

337:15that individual states like Florida or Texas

337:18may not enforce that.

337:19And I think that's actually the kind of thing

337:21where you could see, you know,

337:23like a breakup potential in the future, right?

337:26One other thing that kind of rhymes is,

337:29in many ways like the modern US establishment,

337:31the story that you hear is the victories in 1945 and 1865

337:37legitimate the current establishment.

337:38That is being the Nazis, being the Confederates, right?

337:40So you beat the ethnic nationalists abroad

337:43and they beat the quote, secessionists at home, right?

337:46And the ethnic nationalists were, you know, Aryan Nazis

337:50and the secessionists were, you know,

337:52slave owners and against freedom and so on and so forth.

337:54Okay?

337:55I'm not disputing that, I'm just saying that

337:56that's just like the way people think about it.

337:59There's a possibility,

338:00and I'm not saying it's 100% at all, okay?

338:02But if you're a sci-fi writer,

338:03there's a possibility that the US loses

338:07to the ethnic nationalists abroad,

338:09except this time they're Chinese communists,

338:11non-white communists, as opposed to Aryan Nazis,

338:14which seemed like the total opposite, okay?

338:17And there's a possibility that there is

338:19a financial secession at home,

338:23where it's, you know, Bitcoin maximalist states

338:26that are advocating for freedom, the opposite of slavery.

338:29See what I'm saying?

338:31- Oh boy, that's dark.

338:35You're looking for major things in history

338:38that don't yet have a--

338:41- Cognate going forward, right?

338:43And that's a nice way to think about the future.

338:47- It is only one model,

338:48and any mental model or something like that,

338:50that's why I say as a sci-fi scenario,

338:52it's just like a scenario one could contemplate, right?

338:55Where the new version has, I mean,

338:57the Chinese communists do not think of themselves

338:59as Aryans, right?

339:02But they are ultra-nationalist.

339:05And the Hitler comparisons,

339:06people talk about Hitler endlessly,

339:08like Saddam is the new Hitler,

339:10everybody's the new Hitler, et cetera.

339:12If there is a comparison to quote Nazi Germany,

339:16it is, you know, CCP China in a sense, why?

339:20They are non-English speaking, manufacturing powerhouse

339:24with a massive military build-out under one leader

339:28that is a genuine peer competitor

339:31to the US on many dimensions.

339:33And in fact, you know,

339:34exceeding on some dimensions of technology and science.

339:37That is like, the problem is it's a boy who cried wolf.

339:40People say this a zillion times, right?

339:42And you know, that is like, you know,

339:46I'm not saying this by the way, crucially,

339:48I am just like, I think China is very complicated

339:53and there's hundreds of millions of people,

339:55probably half in China that disagrees

339:57with the current ultra-nationalist kind of thing, right?

339:59And so I kind of hate it when innocent Chinese people

340:02abroad or whatever, are just like attacked on this basis

340:06or what have you.

340:07Plus the other thing is that many Chinese people will say,

340:09well, look, relative to, you know,

340:11where we were when Deng took over in 1978,

340:16we built up the entire country.

340:17We're not starving to death anymore

340:18and the West wants to recolonize us.

340:20And so I understand where that's coming from.

340:22This way you wanna be able to argue different points of view.

340:24With that said, there's one huge difference, right?

340:28Which is Nazi Germany was like 70 million people

340:31and the US was 150 million

340:32and the Soviet Union was 150 million

340:34and the UK was like 50 million.

340:35So they were outnumbered like five to one.

340:37China outnumbers the US four to one.

340:42- This is gonna be a fun century.

340:46- Things are gonna get--

340:47- Under this model.

340:48- Under this model, things are gonna be potentially crazy.

340:50Plus, you know, people are like, oh, I think this is,

340:53you know, again, I have nothing personal,

340:55there's this guy, Peter Zaihan, he writes these books, right?

341:00I probably agree with about 20 or 30%,

341:02but I disagree with a lot of the rest.

341:03And a bunch of it is basically about

341:06how China's really weak and America's really strong

341:08and the rest of the world is screwed.

341:09And, you know, I think there's absolutely problems in China

341:14and, you know, like the current management

341:17is actually messing a lot of things up,

341:18we could talk about that.

341:20But I do think that, you know,

341:22the US is like fighting its factory.

341:24So one thing, you know, Zaihan will talk about is how,

341:26oh, America has this blue water Navy,

341:28all the aircraft carriers and China has nothing,

341:30it's got bupkis, et cetera.

341:32Well, China ships things all around the world, right?

341:34It probably has, you know,

341:36one of the most active fleets out there

341:39in terms of, you know, its commercial shipping.

341:41And in terms of building ships, here's a quote,

341:45"China's merchant shipbuilding industry

341:47is the world's largest,

341:48building more than 23 million gross tons of shipping

341:49in 2020.

341:51US yards built a mere 70,000 tons the same year

341:53that they typically average somewhere in the 200,000s."

341:55That is a 100 to 300X ratio, just in shipbuilding.

341:58Pretty much everything else you can find

342:00in the physical world is like that, okay?

342:02We're not talking like 2X,

342:04we're talking they can put together a subway station

342:06in nine hours with prefab and the US takes three years, okay?

342:11When you have 1000X difference in the physical world,

342:17the reason the US was won against, you know,

342:20Nazi Germany in a serious fight is

342:22they had this giant manufacturing plant that was overseas

342:26and they just outproduced, right?

342:28And they supplied the Soviets also with lend-lease

342:30and the Soviets talked about how

342:32they would not have won the war without the Americans.

342:34People are like, "Oh, the Russians fought the Germans."

342:38The Russians armed by Americans fought the Germans.

342:41Like it's a Soviet Union,

342:42they're not actually able to make high quality stuff.

342:44There obviously are individual people in Soviet Russia

342:48who were innovative, right?

342:49I'm not taking that away.

342:50There's a tradition of amazing,

342:52I just wanna be like,

342:53there's individual Russians who obviously I admire,

342:56Mendeleev and, you know, Klimogorov and so on.

343:00There's amazing Russian scientists and engineers.

343:01So I'm not saying that--

343:02- I mean, in general, from brilliant folks like yourself

343:07that criticize communism,

343:08it's too easy to say nothing communism produces is good,

343:13which of course is not true.

343:16- Yes.

343:17- A lot of brilliant people and a lot of even, you know,

343:20there's a lot of amazing things that have been created.

343:23- Yeah, so they had some amazing mathematicians,

343:24amazing scientists and so on, right?

343:26However--

343:27- Great branding on the, you know, red and yellow.

343:30- Yeah, yeah, so-- - The branding is stellar.

343:32Nazi Germany to excellent branding.

343:35With the flag and so on, you know?

343:37- So--

343:38- So--

343:38- And ends there in terms of compliments.

343:42- Yeah, well, actually they copied a lot of stuff

343:44from each other, you know?

343:45Like there's this movie called "The Soviet Story."

343:48It basically shows a lot of Nazi

343:50and Soviet propaganda things next to each other.

343:52And you can see guys almost in like the same pose.

343:54It's almost like, you know how AI will do like

343:57style transfer?

343:58You can almost see, 'cause the socialist realism

§45Transcript · 5:44:00–5:52:09

344:00style of like the muscular brawny worker,

344:02very similar to like the style of the Aryan Superman,

344:05you know, like pointing at the vermin or whatever.

344:07- And then there's the crappy open source version

344:09that tries to copy, which is Mussolini.

344:12- Yeah.

344:12- That just like, that does the same exact thing,

344:15but does it kind of shittier, so anyway.

344:17- So my main thing about this is basically like

344:19trying to fight your factory in the physical world

344:23is probably not gonna work.

344:24People are, I think, overconfident on this stuff, right?

344:28With that said, I think we want to, at all,

344:31you know, the future is not yet determined, right?

344:33At all odds, you know, we wanna avoid a hot war

344:36between like, I mean, a hot war between the US and China

344:39would be-

344:40- Do you think it's possible that we'll get a war?

344:42- We're doing these things like Pelosi going to Taiwan

344:45and trying to cause something.

344:48Like, look, again, this is one of these things

344:51which is complicated because obviously,

344:53if you're, there's more than one perspective on this, right?

344:55Again, you've got the US establishment,

344:57the US conservative, the Taiwanese perspective,

345:00the Chinese perspective, all the bystanders over there,

345:02there's more than one perspective on this, okay?

345:04If you're, you know, one of China's many neighbors,

345:08you look at China with apprehension.

345:10Like Vietnam, for example, has sort of fallen into,

345:13or not fallen into, is partnering with India

345:15because they're mutually apprehensive of China.

345:17China's not making like great friends with its neighbors.

345:20It's kind of, you know, it's demonizing Japan.

345:22It's so ultra-nationalist nowadays.

345:24And so if you're a Taiwanese, you're like,

345:27yeah, I do not want to be

345:28under the Chinese surveillance state.

345:30I completely understand it.

345:31Some people are pro-reunification, others aren't,

345:33but there's more, you know, trend, you know,

345:36in some ways for independence.

345:38Okay, fine.

345:39- But there's also an increasing temperature

345:41across the entire world.

345:43As we sit here today, there's speeches by Vladimir Putin

345:47about the serious possibility of a nuclear war.

345:50And that escalates kind of the heat in the room

345:56of geopolitics.

345:57- It escalates the heat in the room, of course, right?

345:59And the thing is, people have this belief

346:01that because something hasn't happened,

346:03it won't happen or it can't happen.

346:05But like, there were a lot of measures people took

346:08during the Cold War to make sure a nuclear exchange

346:13didn't happen, the whole mutually assured destruction thing

346:16and communicating that out and like the balance of terror.

346:20There were smart guys on both sides

346:21who thought through this and there were near misses, right?

346:25There, you know, like there's that story

346:27about like the Soviet colonel

346:28who didn't order a nuclear strike

346:30'cause he thought it was just like an error

346:31in the instruments, right?

346:32Okay, what's the point?

346:34Point is, you know, for example, Pelosi going to Taiwan,

346:38that didn't strengthen Taiwan.

346:39That didn't like, if you're gonna go and provoke China,

346:42I thought Scholar Stage, his Twitter account,

346:44had a good point, which is you should,

346:47if you're actually gonna do it,

346:48then you strengthen Taiwan with like huge battalions

346:50of like arms and materiel and you make them a porcupine

346:54and so on and so forth.

346:55Instead, her kind of going and landing there

346:57and mooning China and then flying back

347:00in the middle of a hot war with Russia,

347:02that's absolutely, you know,

347:03in the middle of an economic crisis or what have,

347:06it just, you know, can you pick battles or whatever, right?

347:10It's like, you don't have to fight Russia

347:13and China at the same time.

347:15It's like kind of insane to do that, okay?

347:17Plus even with Ukraine, some people were like,

347:20oh, this was like a victory

347:21for the US military policy or something.

347:23There was a guy who, I'm not trying to beat him up

347:25or anything, he's like, this is in March,

347:27threat on US security assistance to Ukraine, it's working.

347:30Ukraine might be one of the biggest successes

347:32of US security assistance.

347:33And the reason is, you know, US didn't focus

347:35on some high-end shiny objects,

347:36but on core military tasks that focus should remain.

347:39And it's like, how is this a success?

347:42The West gave massive arms to Ukraine

347:44only after the invasion, but not enough before to deter.

347:48And now Ukraine is like this Syria-like battleground

347:51with a million refugees or whatever the number is, right?

347:55Their country is blown to smithereens,

347:57thousands of people dead, whatever thousand dollar gas

348:00in Europe with like 10X energy, radicalized Russians,

348:03the threat of World War III or even nuclear war, you know?

348:07Shooting somebody isn't, that's not like the point

348:10of the military, the point is, there's a million ways

348:12to smash Humpty Dumpty into pieces

348:14and unleash the blood-drenched tides, right?

348:17And have people all shooting each other and killing each other.

348:19It's really hard to maintain stability.

348:21That's what competence is, is deterrence and stability.

348:24Right?

348:24There's not like a success in any way.

348:27It's like an absolute tragedy for everybody involved, right?

348:30- Yeah, I mean, deterrence of course is the number one thing,

348:34but there's a lot to be said there.

348:36But I'm a huge not fan of declaring victory

348:41as we've done many times when it's the wrong.

348:44- Yeah, I mean, the other thing about this

348:46is the whole mission accomplished thing during Iraq.

348:48- Mission accomplished is what I meant, yeah.

348:49- Exactly, mission accomplished was obviously,

348:52the thing is Russia lives next door to Ukraine.

348:55And so, I mean, just like Iraq lives next door to Iran

348:59and Afghanistan is next door to Pakistan and China.

349:01And so if the US eventually gets tired of it and leaves,

349:05those guys are next door, right?

349:07And so, who knows what's gonna happen here, okay?

349:10But one of the problems is like,

349:14the whole Afghanistan thing or the Iraq thing

349:17is the lesson for people was the uncertainty.

349:20They're like, is the US gonna fight?

349:21Don't know.

349:22Will the US win if it fights?

349:23Don't know, therefore roll the dice.

349:25That uncertainty is itself like tempting to folks,

349:28like Putin over there, right?

349:30So point is coming all the way back up,

349:32we were talking about how history, futures are past

349:35and FDR, like the business plot for FDR failed,

349:39but like the tech companies

349:41were able to de-platform Trump, right?

349:42And the left libertarian would say,

349:44do we want that much corporate power?

349:45Okay, and so that's,

349:47so we gave the four case for Trump de-platforming,

349:49protecting democracy, the Trump supporter case against,

349:52which is on the secret history of the shadow campaign

349:54to save the 2020 election, basically that article,

349:56the left libertarian or libertarian case against.

349:59And then to me, what is, you know,

350:01like I am more sympathetic to the libertarian

350:06slash left libertarian against,

350:07and then also maybe the fourth group,

350:09which is the non-American case, right?

350:11Which is to say every, you know, Amlo,

350:16he's the, he was the head of state of Mexico,

350:19I think at that time, okay.

350:21Amlo, Macron, you know, other folks,

350:24everybody who's watching this around the world

350:26basically saw, let's say,

350:29US establishment or Democrat aligned folks

350:32just decapitate, you know, the head of state digitally,

350:37right, like just boom, gone, okay.

350:39And they're like, well, if they can do that in public

350:42to the US president,

350:43who's ostensibly the most powerful man in the world,

350:45what is the Mexican president stand against that?

350:48Nothing, right?

350:50Like these US media corporations,

350:52these US tech companies are so insanely powerful,

350:54everybody's on Twitter or what have you,

350:56other than China, leaving them aside,

350:58they've got their own root system.

350:59If somebody tried to de-platform

351:01Xi Jinping off of Sina Weibo,

351:03they'd probably just fall through a trap door,

351:05you know, their whole family, right?

351:07But for the rest of the world,

351:09that's on the, that is hosting their business,

351:11their politics on these US tech companies,

351:14they're like, regardless of whether it was justified

351:17on this guy, that means they will do it to anybody.

351:20Now the seal is broken,

351:21just like the bailouts, as exceptional as they were

351:23in the first era, everybody was shocked by them,

351:26then they became a policy instrument.

351:28And now there's bailouts happening,

351:30every single bill is printing another whatever,

351:32billion dollars or something like that, right?

351:34- Can I ask on your thoughts and advice on this topic?

351:39If I or anyone were to have a conversation

351:42with Donald Trump, first of all, should one do so?

351:47And if so, how do you do it?

351:52And it may not necessarily be Trump,

351:54it could be other people like Putin and Xi Jinping

351:57and so on, let's say people that are censored.

352:01- Right.

352:01- Like people that platforms in general see as dangerous.

352:06Hitler, you can go, we keep bringing it up.

352:09- Of course, that's the ultimate edge case, right?

§46Transcript · 5:52:11–5:59:58

352:11In the sense of, that's saying like,

352:13something must be done, this is something,

352:14therefore this must be done, right?

352:16I've heard that one before.

352:18(laughing)

352:20- No, but I love it.

352:22- So this is just--

352:23- Can I just use that as an explanation

352:25with confidence for everything I do?

352:27- Yeah, sure, there you go, right?

352:28- Something must be done, this is something,

352:30therefore it must be done.

352:31- Therefore this must be done.

352:32So that is the, like, all kinds of regulations,

352:35all kinds of things are kind of justified on that basis,

352:37right, and there's a version of that which is,

352:40punch a Nazi, I decide who's a Nazi, you're a Nazi.

352:44- Therefore I punch you and that's justified, yeah.

352:46- Yeah, and you know, like people say,

352:47oh, how many people are calling Israelis,

352:50you know, like these things, right?

352:52And so the problem with argumentum ad hilarum is,

352:57it just, I mean, people will say Obama's a Nazi,

353:00everybody will say everybody's a Nazi, right?

353:01- But there is a social consensus about who,

353:04let's set Nazis aside, but who is dangerous for society.

353:08- Okay, but now let's talk about that, all right?

353:10So basically, I think a more interesting example

353:12than Hitler in this context is Herbert Matthews.

353:16So Fidel Castro, before he became the communist dictator

353:20of Cuba, was on the run.

353:22He was like Osama Bin Laden at the time,

353:24he was like a terrorist that the Cuban regime

353:26had seemingly defeated.

353:27And what Herbert Matthews did is he got an intro to him,

353:30he went to the, you know, place where he was hiding out,

353:33he gave an interview and he printed this hagiography

353:35in the New York Times with this like, you know,

353:37photo of Castro looking all, you know, mighty and so on.

353:41And he's like, Castro is still alive and still fighting,

353:45okay, and there's this book on this called

353:48"The Man Who Created Fidel," okay?

353:50Where basically, NYT's article was crucial positive press

353:55that got Castro's point of view out to the world

353:59and helped lead to the communist revolution

354:02that actually impoverished Cuba,

354:05led to like gay people being, you know,

354:08like discriminated against there,

354:09led to people fleeing, you know,

354:11and drowning trying to escape, right?

354:14That's an example of where platforming somebody

354:16led to a very bad outcome.

354:17In fact, many of the communist dictators

354:20in the 20th century had like their own personal journalist,

354:23right?

354:24For example, there's a guy, John Reed, he's an American.

354:26He's buried, you know, if I get this right,

354:28I think he's buried at the Kremlin wall, okay?

354:31Why is an American buried there, okay?

354:34Because he wrote a book called "10 Days That Shook the World"

354:39that whitewashed the entire Soviet revolution

354:42and the Russian revolution in 1917, October revolution,

354:46and made these guys out to be the good guys

354:49when they were actually genocidal psychopaths, okay?

354:52He got their point of view out to the world

354:54and it was a totally misleading point of view, all right?

354:56- Do you think, what do you think he was thinking?

354:59Do you think he saw the psychopathy?

355:01You know, sometimes it's not obvious, like--

355:03- Well, the French revolution had already happened.

355:05So people kind of knew that this sort of psychopathic,

355:08you know, killing in the name of equality

355:09could produce bad results, right?

355:11But it's more than that, right?

355:14So it's John Reed, it's Herbert Matthews,

355:16it's Edgar Snow, okay?

355:18So these are all people who should be extremely famous,

355:20right?

355:21So Edgar Snow is Mao's journalist, okay?

355:24So he wrote, you know, there's actually an article in this

355:28how 1930s reporter from Missouri

355:30became China's ideal journalist, okay?

355:33And he wrote various books,

355:34including like "Red Star Over China," okay?

355:38And it's just a hagiography of Mao, right?

355:41And then of course you've got Duranty,

355:43and he is like Stalin's biographer, right?

355:46Just to recap, John Reed brought Lenin's message

355:49to the world, Mailman's dead.

355:51Duranty helped Stalin starve out the Ukrainians,

355:55Mailman's dead.

355:57Edgar Snow was Mao's biographer,

356:01and Herbert Matthews was like Castro's.

356:05This guy, David Halberstam in Vietnam,

356:07who was effectively Ho Chi Minh's.

356:10He basically went and took leaks from a communist spy.

356:14I'll give you the exact name.

356:16Pham, I'm gonna mispronounce this,

356:18but it's Perfect Spy,

356:20the incredible double life of PHAM, Pham Xuan An,

356:23Time Magazine reporter and Vietnamese communist agent.

356:26That guy was the source of many fabricated stories

356:29that David Halberstam printed in the New York Times

356:31that led to the undermining of the South Vietnamese regime.

356:34And for example, stories of Buddhists being killed and so on

356:38Ashley Rinsberg in "The Great Lady Winked"

356:39writes this whole thing up at length,

356:41so you can go and read it for his account.

356:43But basically all of these communist dictators

356:46had a journalist right alongside them as their biographer.

356:50- Yeah. - Okay?

356:51- But those are tools of the propaganda machine versus-

356:54- Well, so my point is,

356:56these are five examples that are on the far left

357:00that should be balanced also against the Times

357:02running profiles of Hitler on the far right.

357:05We know that basically,

357:06the Times actually also ran a whole thing,

357:08which was Hitler's like mountain retreat

357:10or something like that.

357:11Do you know about that story?

357:12- What year was this?

357:13- I'll tell you in a second.

357:15Hitler at home in the clouds.

357:17- Oh boy, please tell me it's like early 30s.

357:20- I think it's, oh yeah, this is Otto D. Tallisius.

357:23This is actually a guy that Ashley Rinsberg writes up

357:26in "The Great Lady Winked," right?

357:27- 1937. - '37.

357:29There's another one where I think the date is wrong,

357:30but it's 39, you know,

357:32but essentially these titles are like,

357:34"Where Hitler Dreams and Plans,"

357:36"He Lives Simply," you know, right?

357:39And there's another one,

357:40"Hair Hitler at Home in the Clouds," okay?

357:43The thing about this is,

357:44absolutely there are folks who are hagiographers

357:47of the far right,

357:48but whether you're talking Lenin and John Reed

357:51or Stalin and Walter Durante of "The New York Times,"

357:56or Castro and Herbert Matthews, again, of "The New York Times,"

357:59or Edgar Snow and Mao,

358:02or David Halberstam and, you know,

358:04Ho Chi Minh, again, of "The New York Times,"

358:07like you start to see a pattern here

358:09where the guys who are being platformed and given a voice

358:12are these guys who end up being like far left,

358:14you know, lunatics, right?

358:16And I think part of the issue here is,

358:18you know, the saying about how communists

358:20don't understand self-interest?

358:21Nationalists don't understand other interest.

358:24And so nationalists are more obvious.

358:27Isn't that good?

358:29I thought it was good.

358:29- It's pretty good. - Right?

358:30- Pretty good.

358:31- So the nationalist is very obvious

358:33in the sense of like, they're for the Aryans.

358:35They're not even for like the Slavs or whatever, right?

358:37Like, you know, basically, you know,

358:40had Hitler constructed a different ideology,

358:43you know, then like he might've gotten more support

358:46in Eastern Europe or whatever, right?

358:47But he also called the Slavs inferior,

358:49not just, you know,

358:49basically everybody was inferior to the Aryans, okay?

358:52Except maybe the English or whatever,

358:53but that was it, right?

358:55Oh, and the Japanese are honorary Aryans or something.

358:58So the nationalist declares the supremacy

359:01of their own race or culture or what have you,

359:03and doesn't understand people's other interest,

359:05but he also pumps up his own guys, okay?

359:07Same with, you know, in some ways China today,

359:09same with Japan back in the day.

359:11Whereas the communist has a message

359:14that sounds more appealing.

359:16It's a universalist message ostensibly,

359:19but it's actually a faux universalism

359:22'cause it's actually particularism.

359:23Like during the Soviet Union, communism,

359:25this faux universalism was basically a mask

359:28for Russian nationalism, you know,

359:29where, you know, or at least Soviet nationalism

359:32where in particular Russians were pushed

359:34into many territories and, you know,

359:36Russian speakers were, you know,

359:38like privileged in, you know,

359:40the Eastern Europe and the Baltics.

359:42Of course, Russians themselves were oppressed at home

359:45as Sultan's rights here,

359:46both victim and victimizer of the regime.

359:48Their churches were crushed and so on.

359:50As compensation, they were agents of empire.

359:52It's a tragedy all around, okay?

359:53I'm not, you know, I think Russians have been hard done

359:56in many ways, they've had a very hard, hard century.

359:58They've also done hard by others, okay?

§47Transcript · 5:59:59–6:08:16

359:59It's complicated.

360:00- Those journalists you mentioned,

360:02just to elaborate, maybe you disagree with me,

360:05I wonder what you think.

360:06- Sure.

360:07- But I think conversation,

360:08like not to sort of glorify any particular medium,

360:12but there's something,

360:12one of the reasons I like long form podcasts

360:15or interviews, long form unedited interviews,

360:18there's been shows throughout the 20th century

360:20that do that kind of thing, but they seem to be rare.

360:23That podcast made it much more popular and common.

360:27It somehow makes it easier not to do

360:32this kind of bullshit journalism that--

360:34- The gotcha stuff, yeah.

360:35- I feel like asking interesting and deep questions allow,

360:40I think you could sit down with Hitler in 1940, 1941,

360:451942, and the podcast actually serve a purpose.

360:50- In '41 and '42, mid-World War II?

360:54- Or mid-World War II.

360:55A purpose of, one, which is very important,

360:59get good information for the future

361:03so history can study it.

361:05And two, reveal to the world the way a man thinks

361:10that is beyond the propaganda.

361:14- So all this stuff is complicated,

361:17but today, so in the specific issue

361:19of the folks you were talking about,

361:20like Putin, Z, Trump, right?

361:23For those folks, they are very clearly out-group

361:27for both the US left and right,

361:29which is, let's say the Western left and right,

361:31which are your audience.

361:34There's folks who are tankies

361:36and there are folks who are MAGA who are sympathetic.

361:39- I'm sorry, what are tankies?

361:40- Tankies are those who are,

361:41they may not call themselves tankies.

361:44Let's say they're anti-imperialist left and MAGA right,

361:48for different reasons, are against the US establishment

361:52and for Putin or Z or something like that

361:56as an agent against the US establishment.

361:59So leaving those aside,

362:01the point is that most of your audience

362:03is sort of on guard, vaccinated in a sense,

362:07versus Z and Putin and Trump.

362:09They know the counter-arguments and so on and so forth.

362:13In which case, I wouldn't think interviewing them

362:16would be that big a deal, relatively,

362:20'cause there's so much other coverage and so on out there.

362:23I think it's probably okay.

362:25However, for something like what John Reed was doing

362:30and so on, when he was the sole source of information

362:32about the Russian Revolution.

362:34- Yes, that's different.

362:35- That's different, right?

362:36So it's something about,

362:38it kind of gets back to the competitive environment

362:40and so on.

362:41The dearth of folks who are writing critical coverage

362:44of these three men.

362:47And so if I felt that that was insufficient,

362:50then you might need more of it.

362:51Just like, for example, nowadays with Stalin,

362:55there are a lot of articles and books and PDFs

362:58and so on on it.

362:59- But at the time, not as much.

363:02- At the time, not as much.

363:03That's why I brought those guys.

363:04Because often, it's kind of like,

363:06have you ever stocked shelves at a supermarket?

363:09This would seem totally out of left field.

363:11- No, but shoes, but the same thing,

363:13Sears, I used to work at Sears.

363:14- The thing that is the most popular

363:16is the thing that's not on the shelf

363:18because it's been sold out.

363:20- Yeah. - Right?

363:21So in some ways, this is similar to that famous photo

363:25that people have, or image that people have on Twitter

363:27of the plane and the parts that are shot versus not, right?

363:32The survivorship bias, right?

363:35And one way of kind of thinking about it is

363:37the guys who you think of as bad guys or possible bad guys

363:40or controversial guys or whatever,

363:43are those you've already got some vaccination to,

363:45that's why you think of them at all.

363:46Whereas the folks that I mentioned,

363:48the regulators, invisible, right?

363:50Salzburger, you know Zuckerberg,

363:52you know his pros and cons, you know who he is as a person.

363:55You don't even know Salzburger exists, most people, right?

363:57Despite the fact that he's like, certainly is powerful.

364:00You know, he owns the New York Times, he inherits it.

364:02He also got dual class stock, just like Zuck.

364:05But he's invisible, right?

364:06- Well, that's why I think studying the knowns,

364:10the people that are known can help you generalize

364:12to the way human nature is, and then you start to question,

364:17are the same kind of humans existing in places

364:20that wield power?

364:23- Yeah. - And you can assume

364:24they are, they do exist there,

364:26and then you can start to infer.

364:27- That's right. - And ask questions.

364:29- So this is kind of, what I try to do is I'm like,

364:32what is the dark matter?

364:33What is the question that is not being asked

364:35or what have you, right? - Yes, yes.

364:36- And so, you know, that's not to say

364:39that you need to be so anti-mimetic that you only do that.

364:42But I think you need to do that as well as understand

364:45what is good about the conventional wisdom.

364:46And, you know, for example, if you notice a lot

364:48of what I talk about is like the V1, V2, V3,

364:51where as critical as I am of, let's say, the FDA,

364:54I recognize that people want a regulated marketplace

364:57and how do we do better?

364:58As critical as I can be of the Fed,

364:59I recognize that some kind of monetary policy is necessary.

365:03And Satoshi came up with a better one, right?

365:06As harsh as one can be a critic of the current system,

365:11it is really incumbent, as difficult as that is,

365:14upon one to come up with a better version.

365:15Just like academia, as much as I think

365:17current science is corrupted,

365:19what I propose is a way to actually improve on that.

365:22And actually, any true scientist say,

365:24yes, I want my work to be reproducible.

365:26Yes, I want citations to be important statements

365:28and so on and so forth.

365:29And we don't have to get everybody to agree with that,

365:30but just enough to build that better version

365:32and not regress.

365:33- Yeah, there's an implied optimism

365:36within the V1, V2, V3 framework.

365:39Let me ask you at a high level about social media,

365:43because you are one of its prominent users

365:47to communicate your wisdom.

365:49- I use Twitter, I wouldn't really think of it

365:52as communicate my wisdom per se or anything like that.

365:55I use Twitter like I might use GitHub as a scratch pad

365:58for just kind of floating concepts.

366:00And I've got, okay, here's a frame on things,

366:03let me kind of put it out there

366:04and see what people think, get some feedback and so on.

366:06- Don't you think it has lasting impact, your scratch book?

366:10- I think it's good, but basically like,

366:13if I say what's my primary thing on Twitter, it's that.

366:16It's a scratch pad for me to kind of

366:18put some concepts out there, iterate on them,

366:21get feedback on them and so on and so forth.

366:23- Do you think it's possible that the words you've tweeted

366:25on Twitter is the most impact you will have?

366:30- On the world? - On the world.

366:32- I don't, so-- - Is that possible?

366:34- Is it possible?

366:36Well, my tweets-- - What you gave me.

366:37- It's a good question.

366:38I think the network state will be, I think, important,

366:42or I hope, well, the book--

366:44- The book or the concept?

366:45- Good question. - Sorry, just a quick, right?

366:47- The movement. - The movement.

366:48- Right, in the sense that Zionism shows

366:51that it is possible to have a book and then a conference

366:55and then a fund and eventually in the fullness of time

366:58with a lot of time and effort to actually get a state, right?

367:01And as I mentioned earlier,

367:03a lot of countries are small countries,

367:05but I didn't mention there's a guy

367:06who's the head of Kazakhstan and he made a remark.

367:08He's like, "You know, if we allow every nation

367:11"that wants to have self-determination to have a state,

367:15"we'd have 600 countries rather than 190."

367:17Because there's many opposites of a nation state,

367:21but one of the opposites is the stateless nation.

367:24And so you remember the network state is popular?

367:25In places like Catalonia, Catalonian nationalists,

367:29in Catalonia, guys who are committed Catalonian nationalists.

367:31So Catalonia, this region of Spain, right?

367:33The thing is that, again, V1, V2, V3,

367:39the nation state is V2 and it beat the city state,

367:43which is like V1.

367:44And the network state I think of as a potential V3,

367:46which combines aspects of V1 and V2.

367:48So Catalonia or the Basque region,

367:51these are underneath the quote nation state of Spain,

367:55but many Catalonians think of themselves

367:57as part of a separate nation.

367:58Not all, many, okay?

368:01And so they want a state of their own.

368:03Who doesn't, if you're a nation?

368:06Meaning that they've got a legitimate claim

368:08from history, language, culture, all that stuff, right?

368:11The Basques do as well.

368:12The Kurds do as well, okay?

368:14Lots of ethnic groups around the world do.

368:16So in the game of musical chairs,

§48Transcript · 6:08:18–6:15:16

368:18that was the formation of current national borders,

368:21they lost out, right?

368:23So what did they do?

368:24Well, one answer is they just submit to the Spanish state

368:27and they just speak Spanish and their culture is erased

368:30and their history is erased and so on.

368:32The second is they do some sort of Ireland-like insurgency,

368:36the troubles to try to get a thing of their own,

368:38which is obviously bad for other kinds of reasons, right?

368:40You know, violent, et cetera.

368:42What this Catalonian nationalist said, he's like,

368:44"Look, while we can't give up on our existing path,

368:47"the network state is a really interesting third option."

368:50I mean, by the way, I hadn't talked to this guy, V. Partal,

368:53okay, and he's got this site called ViaWeb,

368:56and, or V-I-L-A, VilaWeb, sorry.

368:59It can be, meaning the network state

369:01can be especially appealing to us.

369:02Catalans are now embarking on the task

369:04of having a normal and current state in the old way,

369:06and this is a project that we cannot give up.

369:07But this does not mean that at the same time

369:09we are not also attentive to ideas like this

369:11and we do not try to learn and move forward, right?

369:14Meaning, you know, the network state, right?

369:16Because that's the third way, which says,

369:18okay, maybe this particular region

369:20is not something where you're gonna be able to get,

369:24you know, a state.

369:25But just like there's more Irish people

369:27who live outside of Ireland, right?

369:29Just like, you know, the Jewish people, you know,

369:32didn't actually get a state in Poland or what have you,

369:35they had one in Palestine.

369:37Perhaps the Catalonians could crowdfund territory

369:40in other places and have essentially a state of their own

369:45that's distributed, okay?

369:46Now, again, what people are immediately gonna say is,

369:49"Well, that's gonna lead to conflict with the locals

369:50necessarily," and so on and so forth.

369:53But if you're parallel processing,

369:55you don't have the all-in-one bucket aspect of,

369:58I must win here, and the guy on the other side is like,

370:01I must win, you have optionality.

370:02You can have multiple different nodes around the world,

370:05just like there's multiple Chinatowns,

370:06you could have multiple Catalonian towns, right?

370:09And some places you might be able to just buy an island

370:12and that becomes, you know, the New Catalonia, right?

370:15Just like in, I think there's a region called New Caledonia

370:19and that's in the Southwest Pacific.

370:22So maybe New Catalonia is somewhere else, right?

370:24So if you're flexible on that, now, of course,

370:26a bunch of people will immediately say,

370:29they'll have 50 different objections to this.

370:30They'll say, "Oh, you don't get it.

370:31The whole point is the land," and so on.

370:34They've been there for generations.

370:36Say, "I do get it."

370:37But this Catalan nationalist who's like literally written

370:42in Catalonian for, I don't know how many years, right,

370:46is basically saying, "This is worth thinking about."

370:51And so it's a peaceful third way.

370:52- Yeah, but it's interesting.

370:53I mean, it's a good question whether Elon Musk, SpaceX,

370:58and Tesla will be successful without Twitter.

371:00- Yeah, I don't think as successful.

371:02I mean, obviously they existed before Twitter

371:05and a lot of the engineering problems

371:08are obviously non-Twitter things, right?

371:09But Twitter itself has certainly probably helped Musk

371:11with Tesla sales.

371:12- The engineering, no, that's not what I mean.

371:15- Oh, go ahead.

371:16- The best people in the world

371:17solve the engineering problems.

371:19- Yes, but he hires the people to solve them

371:20and he knows enough about engineering to hire those people.

371:22- That's the point I'm making.

371:24On Twitter, the legend of Elon Musk is created.

371:28The vision is communicated

371:32and the best engineers in the world

371:35come to work for the vision.

371:37It's an advertisement of a man of a company

371:40pursuing a vision.

371:42I think Twitter is a great place to make viral ideas

371:47that are compelling to people, whatever those ideas are,

371:50and whether that's the network state

371:52or whether that's humans becoming

371:54a multi-planetary species.

371:57- Here is a remark I had just before the pandemic

371:59related to this, okay, about Twitter helping Elon,

372:01just beyond that for a second.

372:03Maybe centralization is actually also underexplored

372:06in the design space.

372:08For example, today's social networks

372:09are essentially governed by a single CEO,

372:10but that CEO is a background figure.

372:12They aren't leading the users to do anything.

372:14What if they did?

372:15One example, could Elon Musk's then 30 million followers

372:17somehow get us to Mars faster?

372:20Tools for directed collaborative work

372:22by really large groups on the internet

372:23are still in their infancy.

372:24You can see pieces of what I was talking about,

372:26the scratch pad thing,

372:27the network state being a group

372:29which can do collective actions.

372:30This is kind of the thing, right?

372:31So technologies for internet collaboration

372:33that can be very useful to the software

372:35for future network states.

372:37Operational transformation,

372:38so like Google Docs coordinates edits.

372:40Conflict-free replicated data types

372:42is another alternative, easier to code in some ways

372:44than operational transformation.

372:46Microtasks like Mechanical Turk, Scale.ai,

372:48and Earn.com before we sold it.

372:50Blockchains and crypto, obviously.

372:51The Polymath project,

372:53where a bunch of people parallel processed

372:54and were able to solve an open math problem

372:57by collaborating.

372:58Wikipedia with its flaws that we talked about.

373:01Social networks and group messaging,

373:02all these are ways for collaborating.

373:04They're not just simply attacking

373:05or doing something on the internet.

373:07This is something that Elon could use, right?

373:09- What works and what doesn't about Twitter?

373:11If there's something that's broken, how would you fix it?

373:14- A million things I can say here.

373:15So a few things.

373:16First is fact-checking.

373:17I had this kind of fun, I thought it was a funny tweet.

373:20To anyone who wants to quote,

373:21"Ban lying on social media,

373:23"please write down a function that takes in a statement

373:25"and returns whether it is true.

373:26"If you can start with the remand hypothesis,"

373:28that would be amazing.

373:29- Yeah.

373:30- Okay?

373:31- Yeah, we'll put--

373:32- That's kind of funny, right?

373:32- That's funny.

373:33- And so now the thing is--

373:34- That joke landed on like five people.

373:38- Sure, you wanna explain the joke?

373:39Go.

373:40- Well, no, there's a lot of problems,

373:42decidability where the truth,

373:45that's what proofs in math is.

373:47The truth of the thing is actually

373:49exceptionally difficult to determine.

373:51And that's just a really nice example.

373:53- Right.

373:54- The problems that persist across centuries

373:57that have not been solved by the most brilliant minds,

374:00they're essentially true or false problems.

374:02- That's right.

374:03And so when people are saying,

374:04when they were saying they want to ban lying on social media,

374:07fact-check social media,

374:08the assumption is that they know what is true.

374:10And what do they mean by that?

374:11They really mean the assertion of political power, right?

374:14With that said, do I think it could be useful

374:17to have some kind of quote fact-checking thing?

374:19Yes, but it has to be decentralized and open source.

374:21You could imagine an interesting concept

374:23of coding Trugal, like a Google,

374:26that returned what was true.

374:27It's like a modified version.

374:28- Yes, I like it.

374:29- Right?

374:30So like GPT-3,

374:31but the stable diffusion version where it's open.

374:33Okay.

374:34And so now anybody,

374:35stable diffusion shows it is possible

374:36to take an expensive AI model and put it out there.

374:38Right?

374:39So you have, you know what a knowledge graph is?

374:41Like basically, you wouldn't actually,

374:46whether you have it as RDF

374:47or like a triple store kind of thing,

374:49or some other representation,

374:50it's like an ontology of A is a B and, you know,

374:55B has a C and it's got probabilities on the edges sometimes

374:58and other kinds of metadata.

374:59And this allows Google to show certain kinds

375:01of one box information where it's like,

375:04what is Steve Jobs's, you know,

375:07what is Lorraine Powell Jobs's age or birthday?

375:10They can pull that up out of the knowledge graph, right?

375:13And so you can imagine that Trugal

375:16would have both deterministic and statistical components.

§49Transcript · 6:15:19–6:22:37

375:19And crucially, it would say whether something is true

375:22according to a given knowledge graph.

375:24And so this way, at least what you can do is you can say,

375:28okay, here's the things that are consensus reality,

375:32like the value of the gravitational constant

375:34will be the same in the MAGA knowledge graph

375:37and the US establishment knowledge graph

375:39and the CCP knowledge graph and the, I don't know,

375:42the Brazilian knowledge graph and so on and so forth, okay.

375:46But there's other things that will be quite different.

375:48And at least now you can isolate

375:51where the point of disagreement is.

375:53And so you can have a form of decentralized fact-checking

375:55that is like, according to who, well, here is the authority

375:59and it is this knowledge graph, right?

376:00So that's like a kind of thing, right?

376:02- Yeah, yeah.

376:03- So that is, so that's one concept

376:06of like what next social media looks like.

376:08There's actually so much more.

376:09Another huge thing is decentralized social media, okay.

376:13Social media today is like China under communism

376:17in a really key sense.

376:18There's a great article called

376:20"The Secret Document That Transformed China."

376:22Do you know what China was like before 1978?

376:24- I know about the atrocities.

376:25- Sure, so. - But there.

376:26- To put some flesh on the bone, so to speak, okay.

376:30So basically.

376:32- There's a good book I'm reading

376:33because I think a lot of documents became public recently.

376:36And so.

376:37- There was a window when it opened up.

376:38Now it's probably closing back down again, but.

376:40- But great biographies because of that were written.

376:43Like I'm currently reading "Mao's Great Famine"

376:45by Frank Dicotter.

376:47- Yeah.

376:48- Which is, oh boy.

376:50- It's crazy, okay. - Yeah.

376:52- Here's the thing is capitalism was punishable by death

376:57in living memory in China.

376:59Just to explain what that meant, okay.

377:01I mean, that's what communism was, right?

377:03It was literally the same China that has like the CCP,

377:06you know, the entrepreneurs and Jack Ma and so on and so forth.

377:0840 something years ago, capitalism was punishable by death.

377:11But to give you a concrete example,

377:13this is a famous story in China.

377:14It may be apocryphal,

377:15but it's what the folks have talked about.

377:18There's a village in Xiaogang

377:20and basically all the grain that you were produced

377:22was supposed to go to the collective.

377:24And even one straw belonged to the group.

377:26At one meeting with Communist Party officials,

377:28a farmer asked, "What about the teeth in my head?

377:30"Do I own those?"

377:30Answer, "No, your teeth belong to the collective."

377:33Okay.

377:34Now, the thing is that when you're taking 100%

377:38of everything, okay, work hard, don't work hard,

377:41everyone gets the same,

377:42so people don't wanna work, right?

377:43So what happened?

377:45These farmers gathered in secret

377:47and they did something that was like,

377:49would have gotten them executed.

377:50They were a contract amongst themselves and said,

377:54"We all agree that we will be able to keep

377:56"some of our own grain.

377:58"We will give some of them to the regime

378:00"so when it comes to collect grain, they've got something.

378:02"We'll be able to keep some of it."

378:04And if any of us are killed for doing this,

378:06then the contract said that the others

378:08would take care of their children.

378:10Okay?

378:11To keep some of what you earned,

378:13I mean, just think about how-

378:14- They formed a mini capitalism society

378:16within the Communist, a secret capitalism society

378:20amongst five people.

378:22- Right, so now that they could keep some

378:24of what they earned, right?

378:25Keep some of what they earned,

378:27they had a bumper harvest.

378:28And you know what happened with that bumper harvest?

378:30That made the local officials really suspicious and mad.

378:34They weren't happy that there was a bumper harvest.

378:36They're like, "What are you doing?

378:37"You're doing capitalism?"

378:38- Yeah. - Right?

378:39And a few years earlier, they might've just been executed.

378:43And in fact, many were.

378:44That's what it means when you see millions dead.

378:46Millions dead means guys were shot

378:48for keeping some grain for themselves.

378:51Okay, it means like guys came and kicked in the door

378:53of your collective farm and raped your wife

378:56and took you off to a prison camp and so on and so forth.

378:58That's what communism actually was, okay?

379:00It hasn't been depicted in movies.

379:01There's a great post by Ken Billingsley in the year 2000

379:05called, if I get this right, "Hollywood's Missing Movies."

379:09Okay, this is basically here.

379:13I'll paste this link so you can put it in the show notes.

379:15All right, this is worth reading.

379:16It's still applicable today,

379:18but now that we have stable diffusion,

379:19now we have all these people online,

379:21now that Russia and China are America's national bad guys,

379:25as they were before, they are again,

379:29perhaps we'll get some movies on what communism

379:30actually was during the 20th century and how bad it was,

379:32right, and vaccinate people against that

379:36as well as against Nazism, which they should be, okay?

379:39The point of this, go ahead.

379:41- No, 'cause I'm congratulating myself on the nice

379:46because you're sending me excellent links on WhatsApp

379:49and I just saw that there's an export chat feature.

379:52- Yes, great.

379:53- Because we also have disappearing messages on,

379:55so I was like, all right, this is great.

379:58- Great.

379:58- I get it.

380:00Your ability to reference sources is incredible,

380:03so thank you for this.

380:04- This is, otherwise, if I say something,

380:07it sounds too surprising,

380:08so that's why I wanna make sure I have--

380:09- Just on this topic.

380:10- Yeah, so like, yeah, I mean,

380:12people would be like shot for holding some grain.

380:15So what happened though was Deng Xiaoping said,

380:19okay, we're not gonna kill you.

380:21In fact, we're gonna actually set up

380:23the first special economic zone in Shenzhen.

380:25He didn't try to flip the whole country

380:27from communist to capitalist in one go.

380:29Instead, he's like, we can reform in one place.

380:32And in fact, he fenced it off from the rest of China

380:35and it did trade with Hong Kong

380:37and he spent his political capital on this one exception.

380:39It grew so fast, they gave him more political capital.

380:42Some people think actually that the Sino-Vietnamese War

380:47was Deng's way of just distracting the generals

380:52while he was turning China around

380:54to get it back on the capitalist road.

380:56And what he did was the opposite of a rebranding.

381:00He did a reinterpretation.

381:02Like a rebranding is where the substance is the same,

381:05but the logo is changed.

381:06You're now, you were Facebook, you're now meta.

381:09That's a rebranding, right?

381:11Reinterpretation is where the logo

381:13and the branding is the same.

381:14They're still the CCP,

381:15they're still the Chinese Communist Party,

381:17but they're capitalist now, the engine under the hood.

381:19It's deniable, okay?

381:21And this is a very common,

381:23once you realize those are different things,

381:24it's like swap the front end, swap the back end.

381:26- Yeah.

381:28- Go ahead. - Good way to put it.

381:29- Right? - It's really good.

381:29Yeah, yeah, really.

381:30(laughing)

381:33I'm enjoying your metaphors

381:34and way of talking about stuff.

381:36Yeah, so I get, yeah, yeah.

381:37Swap, you could, yeah.

381:39Rebranding is swap the front end,

381:40reinterpretation is swap the back end.

381:42- That's right.

381:43Once you realize that, you're like, okay,

381:45I can just like as an engineer, you can kind of,

381:48okay, sometimes I wanna do this on the front end,

381:49sometimes I wanna do it on the back end,

381:50sometimes it's explicit,

381:52and sometimes the user doesn't need to see it

381:53and it's on the back end.

381:54Lots of political stuff, you know,

381:57is arguably not just best done on the back end,

382:00but always done on the back end.

382:02One of the points I make in the book is,

382:04left is the new right is the new left,

382:05is, you know, if you look through history,

382:09the Christian King, the Republican conservative,

382:12the CCP entrepreneur, the WASP establishment,

382:17these are all examples of a revolutionary left movement

382:22becoming the ruling class right.

382:26Okay, like the Republican conservative,

382:28just as that one example,

382:29I go through extended description of this in the book,

382:31but the Republicans were the radical Republicans,

382:34the left of 1865, they won the revolution

382:37and their moral authority led them to have economic authority

§50Transcript · 6:22:41–6:30:27

382:41in the late 1800s.

382:41You wouldn't want a Democrat Confederate trader

382:45as the head of your, you know,

382:47railroad company, would you, right?

382:48So all the Confederate traders that were boxed out

382:51from the plum positions in the late 1800s.

382:55And so what happened was the Republicans

382:57turned their moral authority into economic authority,

382:59made tons of money.

383:00The Democrats then started repositioning,

383:02not as a party of the Southern racists, but the poor, right?

383:07And, you know, the cross of gold speech

383:09by William Jennings Bryan was part of that.

383:10There's a gradual process that reaches a path,

383:13not a path, let's say a crucial mark

383:15with the election of FDR,

383:17where it was actually not the 1932, but 1936 election

383:20that black voters switched over to FDR, okay?

383:23That was actually the, like the major flip to like 70%,

383:27you know, to the Democrats.

383:29Now they'd repositioned as a party of the poor,

383:31not the party of the South, okay?

383:33And Republicans had lost some economic authority,

383:38or rather they had moral authority,

383:40they turned into economic authority.

383:41They started to lose some moral authority.

383:43The loss of moral authority was complete by 1965.

383:45That was actually a mop-up.

383:47People dated, you know, the civil rights movement

383:48as the big way where the Republicans lost moral authority.

383:51It's not really, that was a mop-up because 1936,

383:5430 years earlier was when black voters

383:55switched to the Democrats, okay?

383:57So 1965 was another 10 points moving over

383:59of black voters to Democrats.

384:01Republicans had completely lost moral authority

384:03100 years after the civil war, okay?

384:05Then the next 50 years, that loss of moral authority

384:08meant that they lost economic authority,

384:11'cause now you wouldn't want a Republican bigot

384:13as a CEO of your tech company anymore, would you?

384:15Right?

384:16So by 2015, now you have,

384:18it's like two sine waves that are staggered, right?

384:21Moral authority leads to economic authority,

384:23leads to loss of moral authority,

384:26leads to loss of economic authority.

384:28And so now you have the Democrats, you know,

384:32have completed 155 year arc from the defeated party

384:36in the civil war to the dominant party

384:40in the US establishment.

384:41All the woke capitalists are now at the very top.

384:44And now the same repositioning is happening

384:46where if you're so woke, why are you rich?

384:49You get it, right?

384:50Like, you know, if you're so smart,

384:51why aren't you rich is the normal kind of thing, right?

384:53If you're so woke, if you're so holy,

384:55why is like, for example, the BLM founder,

384:56why do they have this million dollar mansion, right?

384:58If you're so woke and it's all about being good

385:00and you're anti-capitalist,

385:01how come you seem to be raking in the money, et cetera,

385:03right?

385:04This is an argument which I'm not sure how long it will go.

385:09It might take years to play out,

385:11it might take decades to play out.

385:12I think probably on the order of a decade.

385:14You're gonna see, in my view, the repositioning.

385:17If the Democrats are the woke capitalists,

385:19the Republicans will eventually become,

385:21are becoming the Bitcoin maximalists.

385:23Why?

385:24Because, you know, if one guy picks left,

385:26the other guy picks right.

385:27It's literally like magnets kind of repelling.

385:28They're sort of forced into the other corner here, right?

385:31And the Bitcoin maximalists will essentially,

385:34where this guy says centralization,

385:35they say decentralization,

385:36where they defend the right of capital to do anything,

385:39the maximalists will say,

385:40actually, you're all cantillionaires,

385:42you're all benefiting from printed money,

385:44you don't have anything that's legitimate,

385:46you don't actually own anything,

385:47it's all a handout from the government,

385:49and so on and so forth, right?

385:50And so that's a counter positioning

385:52that will basically attack the wokes

385:56by how much money they're making.

385:58They're not contesting the ideology.

385:59So when one guy signals economics, you signal culture.

386:04When the other guy signals culture, you signal economics.

386:07That's actually, that's a whole thing I can talk about.

386:08Should I talk about that for a second?

386:09- Sure.

386:11- Is this integrated into the forces that you talk about?

386:15You've talked about the three forces,

386:18the trifecta of forces that affect our society,

386:21which is the wokes, let's say--

386:25- Woke capital, communist capital, crypto capital.

386:27- You talk so fast, and I think so slow.

386:31- No, no, no.

386:32- Woke capital, communist capital, and crypto capital.

386:37Can you explain each of those three?

386:40We actually talked about each of the three in part,

386:43but it'd be nice to bring them together

386:45in a beautiful triangle.

386:46- Then I will also come back up,

386:48and I'll talk about how the CCP story relates

386:51to social media and decentralized social media, okay?

386:53All right, so NYT-CCP-BTC is woke capital,

386:58communist capital, crypto capital.

387:00And communist capital is, the simplest is, you must submit.

387:03The Communist Party is powerful, CCP is powerful,

387:06and you are not.

387:07If you're in China, you just submit.

387:08- CCP is an embodiment of communist capital

387:12that you're talking about.

387:13- Well, yeah, so basically, and by the,

387:14in China, they call it CPC, you know?

387:16So basically, they don't like it usually if you say CCP,

387:18right, so the Communist Party of China,

387:21as opposed to Chinese Communist Party of China.

387:23Basically, that is capitalism,

387:25that is a Chinese pool of capital,

387:28that billion-person pool, okay?

387:30That's WeChat, and it's Alibaba,

387:35and it's that entire kind of thing.

387:37That is one just social network with currency.

387:39The whole thing's vertically integrated.

387:40- When we say communist, what do you mean here?

387:43Why is the word communist important?

387:44Why don't you just say China?

387:46So is communist an important word?

387:48- It just, well--

387:50- Or is it just a catchy label?

387:51- It's a catchy label, but I think it's also important

387:53because it seems, it's paradoxical, right?

387:56So I had a thread on this.

387:58The future is communist capital versus woke capital

388:00versus crypto capital.

388:01Each represents a left-right fusion that's bizarre

388:03by the standards of the 1980s consensus.

388:05It's PRC versus MMT versus BTC, all right?

388:08And why is it bizarre by the standards of 1980s consensus?

388:10Well, in the 1980s, you wouldn't think the communists

388:13would become capitalists, but they did.

388:15You wouldn't think that the wokes, the progressives, right,

388:19would become so enamored with giant corporations

388:24and their power, right?

388:25They've seen something to liken that, right?

388:27And you also wouldn't think that the non-Americans

388:32or the post-Americans or the internationalists

388:35would be the champions of capital

388:37because you'd think it's the American nation, right?

388:41So rather than the conservative American nationalists

388:45being the defenders of capital,

388:48you have the liberal Americans who are with capital,

388:53you have the communist Chinese who are with capital,

388:56and you have the internationalists who are with capital.

388:59And it's the conservative American nationalists

389:01who are in some ways against that,

389:03which is kind of funny, right?

389:04So it's like this weird ideological flippening

389:07that if you take the long lens,

389:10you have these poles that kind of repel each other, okay?

389:12So just on the CCP, NYT, BTC thing.

389:16- NYT, by the way, is woke capital.

389:18- Yeah, what is NYT?

389:19So its formula is a little interesting.

389:21If CCP is just, you must submit because they're powerful,

389:24okay, and then you bow your head

389:25because the Chinese Communist Party is strong.

389:27Woke capital is you must sympathize.

389:30Why do you bow your head, Lex?

389:31Oh, because you're a white male.

389:34Therefore, you're guilty.

389:35You must bow your head because you are powerful.

389:38Yet notice it ends in the same place,

389:41in your head looking to the ground, right?

389:44In China, it's because they're powerful,

389:47so therefore you must bend your head.

389:49For the wokes, it's the left-handed version

389:52where you are powerful and it's shameful,

389:54so you should bow your head, right?

389:57- Right. - Okay?

389:58But it ends in your head bowed.

390:00It's an ideology of submission.

390:02It's not that subtle, but it's somewhat subtle.

390:04And then finally, crypto capital is head held high.

390:06You must be sovereign, okay?

390:09And one of the things I point out in the book

390:12is each of these polls is negative in some ways

390:17when taken to extreme, but also negative in its opposite.

390:20For example, obviously just totally submitting

390:22to total surveillance is bad,

390:24but a society where nobody submits is San Francisco

390:27where people just rob stores and walk out

§51Transcript · 6:30:29–6:38:12

390:29in the middle shoplifting all these goods

390:33and nothing happens, right?

390:35A society where you have the woke level of sympathy

390:37where you get to the kind of insanity

390:39of math is white supremacist

390:41and whatever nonsense is happening today is terrible,

390:45but a society that's totally stripped of sympathy

390:47is also not one that one would wanna be part of, right?

390:50That's just like the,

390:51whether it's 4chan's actual culture or it's feign culture

390:56or something like that or some weird combination,

390:59that's also not good.

391:00It's like Russia in the '90s,

391:00like nobody trusts anybody, that's also bad.

391:03And being totally sovereign, that sounds good.

391:06And there's a lot that is good about it.

391:07I'm sympathetic to this corner,

391:09but being totally sovereign, you go so capitalist,

391:11so sovereign that you're against the division of labor.

391:13You don't trust anybody.

391:14So you have to pump your own water and so on.

391:16So you actually have a reduced standard

391:17of living over here, okay?

391:19And conversely-

391:20- Like survivalist or whatever.

391:21- Survivalist type of stuff, right?

391:23And you just go kind of too crazy into that corner.

391:27And then of course, though, the other extreme

391:29of having no sovereignty is the,

391:32you will own nothing and be happy.

391:33Everything's in the cloud

391:34and can be deleted at any point, right?

391:36So each of these kind of has badness when it's there,

391:39but also it's total extreme opposite is bad.

391:41And so you wanna kind of carve out

391:43like an intelligent intermediate of these three poles,

391:46and that's the decentralized center

391:48or the recentralized center, I call it.

391:50Now, with that said,

391:52I think there is a repositioning in particular

391:53of woke capital that is happening.

391:54And I think if the 2000s was the global war on terror,

391:59and then the channel just changed to wokeness in the 2010s,

392:01and when I mean channel change,

392:03have you seen Paul Graham's graph

392:05or actually David Rosado's graph that Paul Graham posted?

392:08- No, but this is a good chance to say

392:10that Paul Graham is awesome.

392:12- Okay, yeah.

392:13And so here is this graph, okay?

392:14David Rosado's data analysis, I think,

392:17that put this together.

392:18So basically, this is a graph of the word usage frequency

392:23in New York Times, 1970 to 2018.

392:25And he's got some controls there.

392:27- Paul Graham tweets, "Hypothesis.

392:29"Although some newspapers can survive

392:31"the switch to online subscriptions,

392:33"none can do it and remain politically neutral,

392:36"quote, newspaper or record.

392:38"You have to pick a side to get people to subscribe."

392:40And there's a bunch of plots.

392:46Plots.

392:47On the x-axis is years,

392:50on the y-axis is the frequency of use.

392:54And sexism has been going up,

392:56misogyny has been going up,

392:58sexist, patriarchy, mansplaining,

393:01toxic masculinity, male privilege.

393:04All these terms have been going up

393:06very intensely in the past decade.

393:10- Yeah, but really, 2013 is the exact moment.

393:13You see these things,

393:14they're flat and then just go vertical.

393:16Mansplaining, toxic masculinity.

393:18- What precisely happened in 2013?

393:20- Ah, so I talk about this in the book,

393:23but I think fundamentally what happened was

393:25tech hurt media and their revenue dropped

393:29by about $50 billion over the four years from '08 to 2012.

393:33Tech helped Obama get reelected

393:37and media was positive on tech until December 2012.

393:40They wrote, "The nerds go marching in the Atlantic."

393:43Then after January 2013, once Obama was ensconced,

393:48then the knives came out

393:49because basically these tech guys were bankrupting them.

393:52They were through supporting them.

393:55And so the journals got extremely nasty

393:58and just basically they couldn't build search engines

394:02or create social networks,

394:03but they could write stories and shape narratives.

394:05So a clear editorial direction went down

394:07that essentially took all of this,

394:11all these weapons that had been developed in academia

394:14to win status competitions in humanities departments.

394:17And then they just deployed them.

394:20And essentially somebody observed that

394:22wokeness is the combination of

394:23Foucauldian deconstruction and civil rights,

394:27where deconstruction takes away

394:29the legitimacy of the old order.

394:30And then civil rights says,

394:31okay, the only thing that's good is this,

394:33which says the old order is also bad in a different way,

394:35but this is what's good.

394:36And that is the underpinning ideology.

394:40All these words have embedded in them an ideology.

394:45Another way of thinking about it is,

394:47this is not my reference, but I'll cite it anyway,

394:49the glossary of the Greek military junta.

394:53The creation and or use of special terms

394:55are employed by the junta as propaganda tools

394:58because essentially the word itself embeds a concept.

395:00You can Russell conjugate something one way or the other.

395:03Russell conjugation is this concept that

395:04I sweat, you perspire, but she glows.

395:07You can always take something.

395:09You are uncontrollably angry,

395:11but he is righteously indignant.

395:14You have a thin skin, they clap back.

395:18So once you kind of realize that these words

395:22have just been chosen in such a way

395:24as to delegitimize their target,

395:26and they all went vertical in 2013,

395:28and they were suddenly targeted

395:29against their erstwhile allies in tech,

395:32but also just across the country,

395:34you can see that this great awokening,

395:37that's what Iglesias called it

395:39by playing words to the great awakening,

395:40this kind of spasm of quasi-religious extremism.

395:43I wouldn't call it religious because it's not God-centered.

395:46It's really state and network-centered.

395:48So I call it a doctrine,

395:49which is a superset of religion and political doctrine.

395:52These words went vertical and all the terrorism stuff

395:57you just noticed kind of fell off a cliff.

395:59That was the obsession of everything in the 2000s

396:02and just channel change.

396:04It's amazing how that happened.

396:07It's not like any of the pieces got picked up.

396:09Some of those wars are still raging, of course.

396:11- And there's victims to this wokeism movement.

396:16- But in a weird way, even though some parts of it,

396:20just like there's wars in the Middle East

396:22that still keep raging,

396:23there's certainly active fronts of wokeism,

396:25but in a sense, the next shift is already on.

396:29You know why?

396:30It's a pivot from wokeism to statism.

396:33In many ways, NYT is sort of,

396:35and more generally the US establishment

396:36is sort of kind of coming,

396:38you may not believe this,

396:39they're kind of coming back to the center a little bit.

396:41In the same way that Lenin, after the revolution,

396:44implemented the new economic policy,

396:46which you may be aware of, right?

396:47Which was just like X percent more capitalism.

396:50He kind of boot on the neck, take control,

396:52but then ease up for a bit.

396:54And the so-called net men during the '20s

396:57were able to eke out something.

396:58There was like, oh, okay, fine.

397:00He's gonna be easier on us.

397:01Then it intensified again,

397:02because basically by loosening up,

397:04they were able to consolidate control.

397:05They weren't putting as much pressure on, right?

397:07Then it went extremely intense again, right?

397:11Similar to like Mao's like a hundred flowers thing,

397:13let a hundred flowers bloom.

397:14And you know, everybody came out

397:16and then he founded all the people who were against him

397:17and he executed a bunch of them, right?

397:19So what's happening now is NYT is,

397:23and more generally the US establishment

397:24is somewhat tacking back to the center,

397:26where, you know, they're not talking BLM

397:29and abolish the police.

397:31They're saying fund the Capitol police, right?

397:34They've gone from the narrative of 2020,

397:36which was meant to win a domestic contest,

397:38where they said, America is a systemically racist country,

397:40tear down George Washington, we're so evil,

397:43to the rhetoric of 2022,

397:45which is we're the global champion of democracy

397:47and every non-white country is supposed to trust us.

397:49Now, obviously those are inconsistent, right?

397:54If you're in India or you're in Nigeria,

397:56and you just heard that America's calling itself

397:59the same guys, by the way,

398:00saying it's so institutionally racist, systemically racist.

398:02And now you're saying, well,

398:03we're the leader of the free world and the number one.

398:05Obviously there's an inconsistency

398:06between the domestic propaganda

398:08and the foreign propaganda, right?

398:10There's a contrast between abolish the police

398:12and put 2 billion for the Capitol police.

§52Transcript · 6:38:13–6:46:16

398:13You can reconcile this and you can say,

398:16the US establishment is pro-federal

398:18and anti-local and state.

398:20So abolish the local police,

398:22who tend to be, you know, Republican or rightist,

398:25but fund the FBI, fund the Capitol police,

398:27who tend to be, you know,

398:28just like in the Soviet Union,

398:30is the national things like the KGB, right?

398:33They were for the state,

398:36but there were all these local nationalist,

398:38ethnic insurgencies in like Estonia and other places, right?

398:41So you can reconcile them,

398:43but nevertheless on its face, those are contradictory.

398:46So what are you gonna get, I think?

398:48I think you're gonna get this rotation

398:51where a fair number of the folks

398:54on the sort of authoritarian right

398:56are kind of pulled back into the fold a bit, okay?

398:59These are the cops and the military and whatnot,

399:01some of them, because as this decade progresses,

399:05you're gonna see the signaling on American statism

399:07as opposed to wokeism, okay?

399:08Which is 30 degrees back towards the center, right?

399:12Conversely, on the other side,

399:14you're gonna have the left libertarians

399:16and right libertarians who are signaling crypto

399:19and decentralization and so on, okay?

399:22And so the next one isn't red versus blue,

399:25it's orange versus green.

399:26It's the dollar versus Bitcoin.

399:28And so you have the authoritarians,

399:29the top of the political compass

399:30versus the "libertarians," right?

399:33And here's the visual of that.

399:35So that's why as I wrote the book and after I showed it,

399:40I was like, "You know, I'm already seeing this shift

399:43happening from war on terror to wokeism

399:46to American statism, right?"

399:48And here, just take a look at this visual.

399:51- Interesting.

399:52So the visual is an animation transforming

399:57the left versus right, libertarian versus authoritarian

400:02to Bitcoin and dollar versus crypto.

400:07- That's right.

400:08And some folks switch sides, right?

400:10'Cause you have folks like Jack Dorsey

400:13and a lot of the tech founders

400:15in basically the lower left corner, right?

400:17Who were blue but are now gonna become orange or are orange.

400:21And you have folks in the upper right corner

400:23who are going to, at the end of the day,

400:26pick the dollar and the American flag

400:28over the internationalist ideals of cryptocurrency.

400:32- The realigning, as you call it.

400:35Let me ask you, briefly, we do need to get a comment,

400:40your visionary view of things.

400:42We're at a low point in the cryptocurrency space

400:47from a shallow analysis perspective,

400:50or maybe in a deeper sense, if you can enlighten me.

400:53Do you think Bitcoin will rise again?

400:57- Yes.

400:58- Do you think it will go to take on fiat,

401:03to go over a million dollars, to go to these heights?

401:07- I mean, I think it's possible.

401:08And the reason I think it's possible

401:09is I think a lot of things might go to a million dollars

401:12because inflation. - Oh, because of inflation.

401:13- Right.

401:14- Whatever.

401:15- That was an important point, right?

401:16- Yes, it's a very important point, yes.

401:17- Because you're seeing essentially...

401:19(Lex laughing)

401:20- Yes.

401:21- But sort of the choke pointing on energy

401:23is pushing up prices across the board for a lot of things.

401:26China's not doing us any favors with the COVID lockdowns.

401:32Putin's not doing the world any favors

401:34with this giant war.

401:36There's a lot of bad things happening

401:38in the physical world, right?

401:40When China, Russia, and the US are all,

401:45and Europe is, there's folks who are just insane

401:48about degrowth and they're against,

401:52they're pushing for burning coal and wood, right?

401:55So a lot of prices are going up

401:57in a really foundational and fundamental way.

401:59And with that said also,

402:01the dollar is in some ways strengthening

402:02against certain other things

402:03'cause a lot of other countries are dying harder, right?

402:06And you've got riots in Sri Lanka and riots in Panama

402:10and riots in all these places, right?

402:13So it's very complicated

402:15because you've got multiple different trends

402:16going in the same way.

402:17Your Bitcoin maxims would just say infinity over 21 million.

402:22And so therefore you print all the dollars

402:23with only 21 million Bitcoin, so Bitcoin goes to infinity.

402:26But it can be something where lots of other currencies die

402:29and the dollar is actually exported via stable coins, okay?

402:33But I do think--

402:35- So it still moves,

402:36fiat still moves somehow into the cryptocurrencies.

402:39- Yeah, yeah, yeah.

402:40I think it's kind of like Microsoft where,

402:42I mean, Windows is still around, right?

402:44Microsoft is still around.

402:44It's still a multi-hundred billion dollar company.

402:47It had-- - He doesn't mean it.

402:48He doesn't mean it, don't worry.

402:49All my machines are Windows

402:51and like still boot, yeah. - Are they?

402:52Okay, okay. - I don't own a single Mac.

402:54- Really?

402:55Okay, you are unusual in that.

402:57- Yeah.

402:58- That's, so at least for our--

402:59- It's not ideology, just convenience.

403:02- Fine, I mean, they actually now at PostSethia,

403:04they do make some good stuff, right?

403:05Like Microsoft Teams is good, right?

403:07- Yeah, there's a lot of incredible stuff.

403:09And UCO has done a lot of innovative things, like GitHub.

403:13- Yeah, I mean, well, there's an acquisition,

403:14but still, they give them credit for it.

403:16- The acquisition, the pivoting of vision and motivations

403:19and focus and all that kind of stuff.

403:22So anyway, yes, Microsoft does analogy metaphor

403:25for something?

403:26- Well, yeah, so basically just like,

403:27they didn't need a turnaround,

403:28but they did endure to the present day.

403:30They didn't die from Google app.

403:31I mean, for the massive attacks on them, they didn't die.

403:33They're less powerful, but they make more money, right?

403:36And I think that might be something that,

403:40I mean, our best case scenario is the US establishment

403:42or CCP has more power over fewer people, okay?

403:46- I see.

403:47- And so, but you can't exit.

403:49If you're there, you're kind of knuckling under or whatever,

403:52but you can't exit, right?

403:53And so I mentioned those three polls.

403:56CCP is obviously a billion people, 1.4 aligned

404:00under the digital yuan and so on, right?

404:02NYT is the entire, it's the tech companies,

404:06it's the US dollar, it is the establishment.

404:09And then crypto capital is everybody else.

404:11But I actually think that over time,

404:13that third world is web three this time.

404:16And that's the third poll.

404:17And that's India and it's Israel.

404:19And it's lots of American conservatives

404:21and left libertarians and libertarians.

404:24And it's also lots of Chinese liberals,

404:25all the folks who are trying to get out of China

404:28because it's become so nationalist and crazy

404:32and difficult for capitalism.

404:34And so if you take basically non-establishment Americans

404:38on both left and right, okay?

404:40The bottom two quadrants in the political compass

404:43I talked about, you take the liberal Chinese,

404:46you take the Israelis and the Indians, why?

404:49Because they don't, both of them have a lot of tech talent.

404:53Right, they're the number one and number two demographics

404:55for tech founders.

404:56And they want to, while they are generally sympathetic

405:01to the West, right?

405:04And they have more ties to the West,

405:05they also are more cautious about national interests

405:09rather than just starting fights,

405:10you know, where that's how they would think about it, right?

405:12They just, you know, India thinks of itself

405:14as a poor country,

405:14Israel thinks of itself as a small country.

405:16And so therefore it needs to not just get in every fight

405:19just for the sake of it.

405:20And so need to maintain a cautious distance with China,

405:24but not like do what Pelosi is doing

405:26and try and start like a big thing, okay?

405:28I think Israel is similar

405:30where it's maintaining diplomatic relations with China.

405:32It's more friendly towards China than the US is.

405:35India and Israel, I think, are two sovereign states

405:38that have a lot of globally mobile tech talent

405:40that obviously have ties to the West

405:41with a large diaspora that are hard to demonize,

405:45you know, in the sense of willing to argue on the internet.

405:50(laughs)

405:51Let's put it like that, in English, right?

405:52It's very important.

405:53And them plus enough Americans plus enough Chinese

405:57can set up another poll that is not for cold war

406:02or military confrontation, but for peace and trade

406:05and freedom and so on and so forth, right?

406:08That's the center as opposed to the, you know,

406:12left of the woke American US establishment

406:16or the right of the ultra-nationalist CCP, right?

§53Transcript · 6:46:18–6:53:11

406:18That's what I think about.

406:20Now, what I would say here is the reason I think

406:23these are the kind of the three polls,

406:24you can argue against this, right?

406:25You can say it's unipolar world.

406:27America's totally dominant.

406:28That's one argument.

406:29You can say it's a bipolar world.

406:30It's just the US versus China.

406:31Not everybody else will have to be forced to align

406:34with one or the other.

406:35Jay Shankar, you know, actually explicitly rejected this.

406:37He's like, look, there's a billion people in India.

406:39It's coming up on, it will eventually be like

406:41the number three economy.

406:42It's on the rise.

406:44He's got the history and culture.

406:45He thinks he's entitled to have,

406:47India's entitled to have its own side, right?

406:49In such a thing.

406:50It's a funny way of putting it, right?

406:51But it's also true.

406:53And so you could say it's unipolar,

406:54you could say it's bipolar,

406:55you could say it's just multipolar.

406:56And everybody is kind of, they're, you know,

406:58India, Israel, these are groups out there.

407:00But I actually think it's gonna be tripolar.

407:02And the reason it's tripolar is these three pools

407:05are the groups that have enough media and money

407:08and scale and whatnot to really kind of

407:11be self-consistent civilizations.

407:12Obviously China's like the vertically integrated,

407:14like Apple or whatever, just like one country.

407:14- Maybe a stable ideology.

407:17- A stable ideology, that's right, right?

407:19Obviously the, you know,

407:20the wolves have control of lots of institutions.

407:23They've got the US establishment,

407:24they've got the tech companies,

407:25they've got the media companies and so on.

407:27But crypto is basically everybody else.

407:29And crucially crypto has inroads in China and America

407:33where it's hard to demonize it as completely foreign

407:35because there's many, many, many huge proponents

407:38of the universalist values of crypto in America and China,

407:42because it is true global rule of law and free speech

407:45and, you know, so on.

407:46It is genuinely universalist in a way where

407:49America can no longer be, you know,

407:51the number one rule of the rules-based order

407:52is America is always number one.

407:54And China doesn't even pretend

407:56to maintain a rules-based order, right?

407:58Whereas for all those countries

407:59that don't wanna either be dominated

408:01by the US media corporations that can,

408:02or social media that can just censor Trump,

408:04nor do they wanna be dominated by China,

408:06this is an attractive alternative platform

408:08they can make their own, right?

408:09So that's where I think, you know,

408:10I wrote an article on this in Foreign Policy on here.

408:14Here's two articles that talk about this a little bit.

408:16It's called Great Protocol Politics.

408:19And then here's another one on the sort of domestic thing,

408:22Bitcoin is Civilization for Barry Weiss, okay?

408:25But I wanna just come up the stack a little bit

408:28and just return to that original point,

408:30which I diverged on,

408:31which was why, I gave the whole example

408:34of how we got into China

408:37because I talked about how China

408:39had gone from communist to capitalist

408:40and letting people have just a share of what they owned,

408:42right?

408:43With social media,

408:44we're still in kind of the communist era

408:46of social media almost,

408:47where whatever you earn on social media,

408:50like Google takes its cut,

408:52Twitter takes 100%,

408:53you're nothing for all your tweets or anything like that.

408:55Not only do you have, do you earn nothing,

408:58you might get a little rev share on TikTok or YouTube,

409:00you can do okay, right?

409:02But not only do you earn either nothing or a little bit,

409:05you have no digital property rights,

409:07even more fundamentally.

409:08You are at the,

409:10just the whim of a giant corporation can hit a button

409:14and everything you worked for over years, gone, okay?

409:18That is, even if that is quote,

409:19the current state of events,

409:21the state of affairs rather,

409:22that is not the right balance of power.

409:24To be able to unperson somebody at the touch of a key

409:28and take away everything in the digital world

409:30and we're living more and more in the digital world,

409:32we need to check on that power.

409:34And the check on that power is crypto

409:36and its property rights and its decentralization, right?

409:39Then when I say decentralization,

409:41I mean your money and your digital property

409:44is by default yours.

409:47And there has to be a due process

409:49for someone to take that away from you.

409:51Everything, all work is online.

409:53All your money is online, your presence is online.

409:55That can just be taken away from you

409:57with the press of a key

409:59that just gives bad governments, bad corporations

410:02so much power that that's wrong, right?

410:04That's why I'm a medium and long-term bull on crypto,

410:07simply because the check on this thing.

410:09And that if you think about it

410:10in terms of just abstract decentralization is one thing,

410:12but you think about it in terms of property rights,

410:14it's quite another.

410:16And now what that also means is once you have property rights

410:21and you have decentralized social media,

410:23it'll be like the explosion of trade that happened

410:27after China went from communist to capitalist.

410:29Literally billions of people around the world

410:31are no longer giving everything to the collective.

410:34They own the teeth in their head now, finally.

410:37Okay, it's funny, right?

410:38So you're lexfriedman.eth, you own it.

410:40The keys are on your computer.

410:42The bad part is of course they can get hacked

410:43or something like that.

410:44Then you can deal with that with social recovery.

410:46There's ways of securing keys.

410:48But the good part is, ta-da,

410:51you actually have property rights

410:52in the Hernando de Soto sense.

410:54You have something you own, ownership, digital ownership.

410:56It's the cloud is great,

410:58but crypto gives you some of the functionality of the cloud

411:02while also having some of the functionality

411:03of the offline world where you have the keys.

411:05So it's a V3, right?

411:06It's a continuous theme, right?

411:08The V1 was offline, I've got a key, I own it.

411:10I have de facto control.

411:12V2 is the cloud, someone else manages it for me.

411:14It's hosted, I get collaboration and so on.

411:16V3 is the chain where you combine aspects of those, right?

411:18You have the global state of the cloud,

411:20but you have the local permission

411:21and controlling of the private key, okay?

411:23So that's why I'm a medium to long-term ultra bull on crypto

411:26and I've actually, there's a podcast I gave with Asympco

411:28where I talked through how crypto actually

411:30doesn't just go after finance.

411:33So it's gold and it's wire transfers and it's crowdfunding

411:36and it's all finance with DeFi,

411:37but it's actually also search and it's social

411:40and it's messaging.

411:41It's actually even operating systems

411:44and eventually cloud and whatnot.

411:46Do you want me to talk about that briefly?

411:48- Yeah, yeah, if you can briefly see

411:49how broad you see the effect of crypto.

411:55So first, crypto is fundamentally a new way

411:57of building backend systems, right?

411:58So if you think about how big a deal it was to go

412:01from AT&T's corporate Unix to Linux, it's permissionless,

412:04right?

412:05When you went from, as much as I admire a lot of the stuff

412:08that Sam Altman and Greg Brockman have done at OpenAI,

412:11I mean, they're phenomenal in terms of research.

412:13They've pushed the envelope forward.

412:14I give them a ton of credit, right?

412:16Still, it was great to see stable diffusion out there,

412:19which was open source AI, right?

412:22And so from a developer, from a power user standpoint,

412:26whenever you have the unlocked version,

412:28like an unlocked cell phone,

412:29it's always gonna be better, right?

412:30So what crypto gives you,

412:34obviously it's every financial thing in the world.

412:37You can do stocks, bonds, et cetera.

412:38It's not, just like the internet wasn't just a channel.

412:42It wasn't like radio and TV and internet.

412:44It was internet radio and internet TV

412:46and internet this and internet that.

412:47Everything was the internet.

412:48All media became the internet.

412:49Crypto is not an asset class.

412:50It's all asset classes.

412:52It's crypto stocks and crypto bonds, et cetera.

412:54In a real sense, like private property

412:57arguably didn't exist in the same way before crypto.

413:00International law didn't exist before crypto.

413:02How are you gonna do a deal between Brazil and Bangladesh?

413:06If a Brazilian company wants to acquire

413:08a Bangladesh company,

413:09they usually have to set up a US adapter in between

413:11because otherwise, what are the tax

§54Transcript · 6:53:12–7:00:27

413:12or the other obligations between the two?

413:14You set up a US adapter or a Chinese adapter to go between,

413:17but now that Brazilian and Bangladesh can go peer to peer

413:20'cause they're using blockchain, right?

413:21They can agree on a system of law

413:23that is completely international and that's code.

413:27So each party can diligence it

413:29without speaking Portuguese and Bengali, right?

413:32So that's why I am a long-term bull on crypto.

413:35I just described the finance case.

413:37Let me go through the others, right?

413:39Social.

413:39So you have the private keys for your ENS.

413:43You have apps like Farcaster.

413:45You basically have decentralized social media

413:48where there's different variants.

413:49Some, you just log in with your crypto username.

413:52Others, the entire social network

413:53and all the likes and posts are on chain like Deeso,

413:56but there's several different versions, right?

413:59Search.

413:59Once you realize block explorers

414:04are an important stealth threat to search,

414:06they're very high traffic sites like blockchain.com

414:08and Etherscan that Google has just totally slept on.

414:11They don't have a block explorer.

414:13You don't have to do anything in terms of trading

414:15or anything like that.

414:16Google does not have a block explorer.

414:17Why?

414:18Because think of it as search, but it is search.

414:20It's absolutely search.

414:21It's a very important kind of search engine.

414:23And once you have crypto social,

414:26you now show that you're not just indexing

414:29in a block explorer like on-chain transactions,

414:33but on-chain communications, okay?

414:36So now you suddenly see, oh, the entire social web

414:39that Google couldn't index.

414:40It could only index the World Wide Web

414:42and not the social web.

414:43Now it's actually the on-chain signed web,

414:47because every post is digitally signed.

414:48It's a new set of signals.

414:50It's way easier to index than either the World Wide Web

414:53or the social web, 'cause it's open and public.

414:55So this is a total disruptive thing to search

414:57in the medium term,

414:58because it's a new kind of data set to index, right?

415:01So that's how it's a threat to social, to search.

415:04It is a threat to messaging.

415:06Why?

415:07Because, or it's disruptive actually,

415:08because of the ENS name, as I mentioned,

415:10is like a universal identifier.

415:11You can send encrypted messages between people.

415:14That's a better primitive to base it on.

415:16You know, WhatsApp is just claiming

415:18that they're end-to-end encrypted.

415:20But with an ENS name or with a crypto name,

415:23you can be provably audibly end-to-end encrypted

415:26because you're actually sending it back and forth, right?

415:27'Cause the private key is local, right?

415:29That itself, given how important that is, right?

415:32You could man-in-the-middle signal or WhatsApp

415:35because there's a server there, right?

415:36If you have, you know,

415:37so end-to-end encrypted messaging will happen

415:39and with payments and all this other stuff, okay?

415:41So you get the crypto messaging apps.

415:43You get operating systems.

415:44Why?

415:45Well, the frontier of operating systems,

415:47I mean, look, you know, Windows, Linux,

415:49and Mac OS have been around forever.

415:51But if you actually think about, you know,

415:53what is a blockchain?

415:54Well, there's operating systems, there's web browsers.

415:57A blockchain is the most complicated thing

415:59since an operating system or web browser

416:00'cause it's a kind of operating system.

416:01Why?

416:02It's got, you know, something like Ethereum has an EVM.

416:05It's got a programming language.

416:07It's got an ecosystem where people monetize on it.

416:09They build front-end apps and they build back-end apps.

416:12They interoperate between each other.

416:13This is the frontier of operating systems research.

416:15People haven't thought of it that way, right?

416:17It's also the frontier of a lot of things in databases.

416:20You will get a crypto LinkedIn

416:22where there's zero knowledge proofs of various credentials.

416:24Okay?

416:25Basically, every single web two company,

416:28I can probably come up with a web three variant of it, right?

416:32Like Ethereum is, I mean,

416:33and this is high praise for both parties,

416:35but Ethereum is like the crypto stripe,

416:38or the web three stripe.

416:39And you will see versions of everything else

416:44that are like this.

416:46But, you know, I kind of described search,

416:49social, messaging, operating systems, the phone, right?

416:52Solana is doing a crypto phone.

416:53Why do you want that?

416:54Again, digital property.

416:56Apple was talking about running some script

416:59to find if people were having, you know, CSAM,

417:02like, you know, child porn or whatever on their phones,

417:04right?

417:05And even NYT actually reported that,

417:08like Google ran something like this

417:10and found false positives.

417:11Some guy had to take a photo of a kid

417:13for, you know, medical diagnosis.

417:15It got false, you know, falsely flagged as CSAM.

417:18He lost access to his account.

417:20Total nightmare.

417:21Imagine just getting locked out of your Google account,

417:23which you're so dependent on, right?

417:25As more and more of your digital life goes online,

417:28you know, is it really that much ethically different

417:31if it's the Chinese state that locks you out

417:34or an American corporation, right?

417:37Basically, it's operationally very similar.

417:38You just have no recourse.

417:39You're unpersoned, right?

417:41So the crypto phone becomes like insanely important

417:44because you have a local set of private keys.

417:47Those are the keys to your currency and your passport

417:50and your services and your life, right?

417:52So like, become something that you just hold on you

417:54with your person at all times, like your normal phone.

417:56You might have backups and stuff,

417:57but you know, the crypto phone

417:58is an insanely important thing, okay?

418:01And so that's search, that's social, that's messaging,

418:04that's operating systems, that's a phone.

418:08That's a lot right there.

418:09- Yeah, that is beautiful.

418:10- Can I have 120 seconds to just finish up

418:13a few more thoughts on social media?

418:14- Yes, please. - Okay.

418:15AI and AR, okay?

418:17This massive impact, obviously, of AI and social media.

418:20You're gonna have completely new social media companies,

418:23gestures, other things, you know, TikTok having, you know,

418:26some of the AI creation tools in there

418:28is just like a V1 of that.

418:30There's this whole thread with everything,

418:31stable diffusion is unlocking.

418:33But basically, this is gonna melt Hollywood.

418:36US media corporations that took a hit in the 2010s,

418:39we're now gonna be able to have everyone around the world

418:41able to tell their story.

418:43And all the stuff about AI ethics and AI bias,

418:45the ultimate bias is centralized AI.

418:48Only decentralized AI is truly representative.

418:51You cannot be faux representative.

418:53You cannot claim that Google is representing Nigerians

418:57and Indians and Brazilians and Japanese.

418:59Like, those folks need to have access themselves, right?

419:01So that's a fundamental ethical argument

419:03against centralized AI.

419:05It's unethical, and it's like, you know,

419:07this faux thing where you might have like faux diversity

419:11in the interface,

419:14but you haven't actually truly decentralized it.

419:15This is the woke capitalism, right?

419:17You justify it with the wokeness,

419:18and you make the money by centralizing it.

419:20But the actual way of doing it is letting it free

419:22for the world and letting people build their own versions.

419:25If people wanna build a Asian "Lord of the Rings,"

419:27they can do that.

419:28If they wanna build an Indian one, they can do that.

419:30If they, you know, whatever they want, right?

419:32So that is the argument for AI decentralization

419:37and for how that kind of links to this.

419:40- I love that.

419:41AI decentralization fixes the bias problem in AI,

419:44which a lot of people seem to-

419:45- Yeah, centralization-

419:47- Talk about and focus on.

419:49- Yeah, centralization is inherently unrepresentative,

419:52fundamentally.

419:54Like, you can like mathematically show it.

419:55It's not representing the world.

419:57The decentralization allows anybody to pick it up

420:00and make it their own, right?

420:02And centralization is almost always a mask

420:05for like that private corporate interest, right?

420:07It's like, one of the things about the vocabulism thing,

420:09by the way, is the deplatforming of Trump was political.

420:12Other things are political.

420:14But do you know what deplatforming started with?

420:16In the late 2000s, early 2010s, all the open social stuff

420:19was when deplatforming was being used as a corporate weapon

420:22against Meerkat and Zynga and Teespring, right?

420:27These were companies that were competing with features

§55Transcript · 7:00:29–7:08:14

420:29of, you know, TweetDeck, et cetera.

420:31They're competing with features of Twitter or Facebook,

420:33and the API was cut off.

420:34And that was when actually progressives

420:35were for net neutrality and an open internet

420:39and open social against the concentration

420:40of corporate power and so on.

420:42Remember that, right?

420:43And so what's gonna happen is both those two things,

420:46the political and the corporate are gonna come together.

420:48Why?

420:48In the Soviet Union, denunciation was used as a tool

420:53to, for example, undercut romantic rivals, right?

420:56There's a great article called "The Practice of Denunciation"

420:58in the Soviet Union, right?

421:00Which talks about all these examples

421:01where the ideological argument was used

421:04to like kick somebody into the 300 like pit

421:07that existed at like the center of the Soviet Union.

421:09Anybody could be kicked into the pit at any moment.

421:11And ta-da, well, Ivan's out, you know,

421:13and now, you know, hey, Anna, you know, whatever, right?

421:16Okay, that same thing is gonna be used by woke capitalists,

421:20is being used by woke capitalists,

421:21where the woke argument is used to justify

421:24pulling, pushing their competitor out of the app store

421:26or downracking them in search.

421:28Well, again, you wouldn't want a bigot to be in search

421:31who could compete with us or whatever, right?

421:32And conversely, so the wokeness is used to make money

421:36and the money is used to advance the ideology.

421:39It's like this kind of back and forth.

421:41Sometimes, right now, you think of those

421:43as independent things, but then they fuse, okay?

421:46And so that's very clear with the AI bias arguments

421:49where it just so happens that it's so powerful, Lex,

421:54this technology is so powerful in the wrong hands,

421:56it could be used, so we will charge you $99 for every use

421:59of it, how's that?

421:59How altruistic is that?

422:01Is that amazingly altruistic?

422:02It's really good, right?

422:03So once you kind of see that, as I said,

422:08whenever they're positioning in economics,

422:09you can go in culture, when they're positioning on culture,

422:11you can go in economics.

422:12If they're so woke, why are they rich?

422:14If they're so concerned about representation,

422:16why is it centralized?

422:17Answer, they're not actually concerned about it,

422:18they're making money, right?

422:19Okay, so that is, I think, in a few words,

422:22blows up a lot of the AI bias type stuff, right?

422:26Okay, they're basically, they're biasing AI, all right.

422:30So the amount of stuff that can be done with AI now,

422:32like it also helps the pseudonymous economy,

422:34as I was talking about with the AI Zoom.

422:35So you have totally new sites, totally new apps

422:38that are based on that.

422:40I think it may, I mean, it changes,

422:46you're gonna have new Google Docs,

422:48new, all these kinds of things.

422:49You might have, you know, once you can do things

422:51with just a few taps, you might have sites

422:54that are focused more on producing

422:55rather than just consuming, because, you know,

422:58you might, with AI, you can change

423:00the productivity of gestures.

423:01You know, you can have a few gestures,

423:03like, for example, the image-to-image thing

423:06with the Cable Diffusion, where you make a little cartoon,

423:09third graders painting, and it becomes a real painting.

423:12A lot of user interfaces will be rethought

423:14now that you can actually do this incredible stuff

423:16with AI, it knows what you want it to do, right?

423:19So, and I saw this funny thing,

423:21which was a riff on Peter Thiel's line,

423:24which is AI is centralized and crypto is decentralized.

423:27And somebody was saying, actually,

423:28it turns out crypto is centralized

423:30with the CBDCs and stable coin and so on,

423:32but AI is getting decentralized with Cable Diffusion,

423:34ha ha, right?

423:35Which is funny, and I think there's centralized

423:36and decentralized versions of each of these, right?

423:38And finally, the third pole that actually,

423:41you know, Thiel, you know, he talks about AI and crypto,

423:43but the third pole is actually,

423:44that's sort of underappreciated

423:45'cause people think it already exists, is social.

423:47That just is keeping on going, right?

423:49And obviously the next step in social is AR and VR.

423:52And why is it so obvious?

423:53Because it's meta, you know, it's Facebook.

423:55Now I saw this very silly article, it's like,

423:57oh my God, Facebook is so dumb

423:58for putting a $10 billion into, you know,

424:00virtual reality, right?

424:02And I'm like, okay, the most predictable innovation

424:05in the world, in my view, is the AR glasses.

424:08Have you talked about this on the podcast before?

424:10- AR and VR, I mean, of course a lot,

424:13but the AR is not as obvious, actually.

424:15- Okay, so AR glasses, what are AR glasses?

424:17So you take Stampshed Spectacles, Google Glass,

424:21Apple's AR Kit, Facebook's Oculus Quest 2, right?

424:26Or MetaQuest 2, whatever, okay?

424:28You put those together and what do you get?

424:31You get something that has the form factor of glasses

424:33that you'd wear outside, okay?

424:35Which can, with a tap, record

424:39or give you terminator vision on something,

424:41or with another tap go totally dark and become VR glasses.

424:45Okay, so normal glasses, AR glasses, VR glasses, recording.

424:49It's as multifunctional as your phone, but it's hands-free.

424:53And you might actually even wear it more than your phone.

424:55In fact, you might be blind without your AR glasses

424:58because, you know, one of the things I've shown

425:01the book early on are like floating sigils.

425:04Did we talk, did I show you that?

425:06So this is a really important just visual concept.

425:11That right there shows with AR Kit,

425:12you can see a globe floating outside.

425:15Okay, secret societies are returning.

425:18This is what NFTs will become.

425:19The NFT locally on your crypto phone,

425:22if you hold it, you can see the symbol.

425:24And if you don't, you can't.

425:26- By the way, for people just listening,

425:28we're looking at a nice nature scene

425:31where an artificially created globe is floating in the air.

425:36- Yes, but it's invisible

425:38if you're not holding up the AR Kit phone, right?

425:42So- - So only you

425:43have a window into this artificial world.

425:46- That's right.

425:47And then here's another thing

425:48which shows you another piece of it.

425:50And this is using ENS to unlock a door.

425:55So this is an NFT used for something different.

425:57So the first one is using the NFT effectively

425:59to see something.

426:00And the second is using the NFT to do something.

426:03Okay, so based on your on-chain communication, right?

426:07You can unlock a door.

426:10That's a door to a room.

426:11Soon it could be a door to a building.

426:13It could be the gates to a community.

426:15It could be your digital login, okay?

426:17And so- - Amazing.

426:19- What this means is basically a lot of these things

426:21which are like individual pieces get synthesized, right?

426:24And you eventually have a digital,

426:27just like you have a digital currency,

426:29or digital currencies unify concepts like obviously gold,

426:33stocks, bonds, derivatives,

426:36every kind of financial instrument,

426:37plus Chuck E. Cheese tokens, karma,

426:39everything that's fungible and transferable.

426:41The digital passport unifies your Google style login,

426:46your private keys, your API keys, your NFTs,

426:49your ENS name, your domain name,

426:50all of those kinds of things,

426:51and your key card for your door and so on, right?

426:54So the AR glasses are what probably, I don't know,

426:57it'll be Facebook's version three or version four.

427:00Apple is also working on them.

427:01Google's also working on them.

427:02You might just get a bunch of those models at the same time.

427:04It's like predicting the iPhone,

427:06just like Dorsey knew that mobile was gonna be big.

427:08And that's why he had 140 characters for Twitter

427:11'cause it was like an SMS code limitation

427:12and Twitter was started before the iPhone.

427:14AR glasses are an incredibly predictable invention

427:18that you can start thinking about the future of social

427:21is in part in person, okay?

427:23And it also means people might go outside more.

427:25Why?

427:26Because you can't see a monitor in the sun,

427:29but you can hit AR and maybe you have a full screen thing

427:33and you just like kind of move your fingers or something

427:36and you can tap.

427:37You have to figure out the gesture.

427:38You don't wanna have gorilla arms.

427:39Maybe you do have a keyboard outside

427:41or just even like a,

427:42you could even have a desk like this.

427:46If you had, if you can touch type,

427:49you can imagine something where you look down

427:50and you can see a keyboard with your AR glasses

427:53and it registers it and then you can type like this, right?

427:56And probably you could have some AI that could,

427:58figure out what you meant rather than what you were doing.

428:01Okay, so that's AI and social media.

428:04That's AR and social media.

428:06But really one last thing I'll say,

428:08which is a non obvious non-technological part

428:10is I think we'll go from very broad networks,

428:14which are hundreds of millions or billions of people

§56Transcript · 7:08:16–7:15:55

428:16like Twitter and Facebook,

428:17which have many small communities in them

428:19to much smaller networks that have a million

428:23or 10 million people, but are much deeper, right?

428:26In terms of their association, right?

428:29And this is the long-term trend in tech

428:30'cause you're going from eyeballs in the 1980s,

428:33or I'm sorry, eyeballs in the 1990s

428:35to daily active users in the 2000s

428:38to holders in the 2010s.

428:41So you go from just like, oh, I'm just a looky-loo

428:43to I'm logging in every day

428:44to I'm holding a significant percentage of my net worth.

428:47And then this decade is when the online community

428:50becomes primary.

428:51You're a netizen.

428:52The digital passport is your main identity.

428:55And so this is not,

428:57see the problem with Facebook or Twitter

428:58is it's a bunch of different communities

428:59that don't share the same values fighting each other.

429:01This brings us back to the network state

429:02where you have one community with shared values,

429:05shared currency, and it's full stack.

429:07It's a social network and it's a cryptocurrency

429:10and it's a co-living community and it's a messaging app

429:14and it's a this and it's a that.

429:15And it's like Estonia,

429:16with a million people,

429:17you can actually build a lot of that full stack.

429:19That is, starts to get to what I call a network state.

429:21- I feel like there should be

429:25like a standing applause line here.

429:28This is brilliant.

429:29You're an incredible person.

429:31This was an incredible conversation.

429:33We covered how to fix our government,

429:36looking at the future of governments,

429:38moving into network state.

429:40We covered how to fix medicine, FDA, longevity.

429:45That was just like a stellar description.

429:49Really, I'll have to listen to that multiple times

429:51to really think and thank you for that,

429:53especially in this time

429:55where the lessons learned from the pandemic

429:58are unclear to at least me.

430:02And there's a lot of thinking that needs to be done there.

430:04And then just a discussion about how to fix social media

430:09and how to fix money.

430:12This was brilliant.

430:13So you're an incredibly successful person yourself.

430:16You taught, co-taught a course at Stanford for startups.

430:21That's a whole nother discussion that we can have,

430:24but let me just ask you,

430:26there's a lot of people that look up to you.

430:29So if there's somebody who's young,

430:31in high school, early college,

430:34trying to figure out what the heck to do with their life,

430:36what to do with their career,

430:38what advice could you give them?

430:39How they can have a career they can be proud of

430:42or how they can have a life they can be proud of.

430:46- At least what I would do,

430:47and then you can take it or leave it or what have you.

430:49(Lex laughing)

430:51- Yeah, maybe to your younger self.

430:53Advice to your younger self.

430:55- My friend, Novel,

430:56this is a lot of what he puts out

431:00is the very practical brass tacks, next steps.

431:03And I tend towards the macro.

431:07Of course, we both do both kind of thing, right?

431:10But let's talk brass tacks and next steps

431:12'cause I actually am practical,

431:14or at least practical enough to get things done, I think.

431:17- It's just like you said,

431:19you're breaking up the new book into three.

431:21- Yes, it's motivation, theory, and practice.

431:23- Motivation, theory, and practice.

431:25- That's right.

431:26And each of those-- - Let's talk about practice.

431:27- So let's talk practice.

431:28- Especially at the individual scale.

431:30- Right, so first, what skill do you learn

431:33as a young kid, right?

431:35So let me just give what the ideal full stack thing is.

431:39And then you have to say,

431:40okay, I'm good quantitatively, I'm good verbally,

431:43I'm good this, I'm good that, right?

431:45So the ideal is you are full stack engineer

431:48and full stack influencer,

431:49or full stack engineer, full stack creator, okay?

431:51So that's both right brain and left brain, all right?

431:54So what does that mean with engineering?

431:56That means you master computer science and statistics, okay?

432:01And of course, it's also good to know physics

432:03and continuous math and so on.

432:04That's actually quite valuable to know.

432:05And you might need to use a lot of that continuous math

432:08with AI nowadays, right?

432:09'Cause a lot of that is actually helpful, right?

432:11Great descent and whatnot.

432:13But computer science and stats are to this century

432:17what physics was to the last, why?

432:20Because, for example, what percentage of your time

432:23do you spend looking at a screen of some kind?

432:25- A large percentage of the time.

432:27- A large percentage of the time, right?

432:28Probably more than, you know,

432:30for many people it's more than 50% of their waking hours.

432:33If you include laptop, you include cell phone, tablet,

432:36you know, your watch, you know,

432:38maybe a monitor of some kind, right?

432:39All those together is probably, it's a lot, okay?

432:42Which means, and then that's gonna only increase

432:44with AR glasses, okay?

432:46Which means most of the rest of your life

432:48will be spent in a sense in the matrix, okay?

432:51In a constructed digital world,

432:54which is more interesting in some sense

432:56than the offline world.

432:57'Cause we look at it more, it changes faster, right?

433:00And where the physics are set by programmers, okay?

433:03And what that means is, you know,

433:06physics itself is obviously very important

433:08for the natural world.

433:10Computer science and stats are for the artificial world,

433:12right?

433:13And why is that?

433:14Because every domain has algorithms and data structures,

433:19whether it's aviation, okay?

433:21You go to American Airlines, right?

433:23They're gonna have, you know,

433:26planes and seats and tickets and so on.

433:29So it's data structures,

433:30and you're gonna have algorithms

433:31and functions that connect them.

433:32You're gonna have tables that those data are run to.

433:34If it's Walmart, you're gonna have SKUs,

433:37and you're gonna have shelves,

433:38and you're gonna have, so you have data structures

433:40and you have algorithms to connect them.

433:41So every single area, you have algorithms

433:44and data structures, which is computer science and stats.

433:47And so you're going to collect the data and analyze it, right?

433:51And so that means if you have that base of CS and stats,

433:54where you're really strong and you understand, you know,

433:57the theory as well as the practice, right?

433:59And you need both, okay?

434:00Because you need to understand, you know,

434:03obviously the basic stuff like big O notation and whatnot,

434:06and you need to understand

434:07all your probability distributions, okay?

434:10You know, a good exercise, by the way,

434:11is to go from the Bernoulli trials, right?

434:16To everything else,

434:17'cause you can go Bernoulli trials

434:18to the binomial distribution, to the Gaussian.

434:21You can also go from, you know,

434:23Bernoulli trials to the geometric distribution and so on.

434:26You can drive everything from this, right?

434:27- And computer science includes not just big O,

434:30but software engineering?

434:32- Well, computer science is theory,

434:33software engineering is practice, right?

434:34You could argue probability and stats is theory,

434:38and then data science is practice.

434:40- Sure. - Right?

434:41- Yeah. - And so-

434:42- So you include all of that together.

434:43- I include all of that as a package.

434:44That's theory and practice, right?

434:46I mean, look, it's okay to use libraries

434:50once you know what's going on under the hood, right?

434:52That's fine, but you need to be able to kind of

434:54write out the whole thing yourself.

434:55- I mean, it's...

434:56That could be true, could not be true, I don't know.

435:02Are you sure about that?

435:03Because- - Well, you should-

435:05- You could, you might be able to get quite far

435:09standing on the shoulders of giants.

435:11- You can, but it depends.

435:13Like, you couldn't build, well, okay.

435:17Somebody- - Maybe you could.

435:18However you were gonna finish that sentence,

435:21I could push back before-

435:22- You could probably push back, right?

435:23But here's what I was gonna say.

435:24I was gonna say, you couldn't really,

435:26you couldn't build Google or Facebook or Amazon or Apple

435:31without somebody at the company who understood

435:34like computer architecture and layout of memory

435:39and theory of compilers.

435:42- But you might want to, see, the thing is,

435:44if you just look at libraries,

435:45you might be able to understand the capabilities

435:48and you can build up the intuition of like

435:50what a great specialized engineer could do that you can't.

435:55- Like, for example, at least a while back,

§57Transcript · 7:15:57–7:24:10

435:57facebook.com, like was literally,

435:59it's just a single C++ compiled binary.

436:02Or sorry, it's not C++, it was like hip hop.

436:05They had a PHP compiler where they had just one giant binary.

436:10I may be getting this wrong, but that's what I recall, right?

436:13- Yeah, yeah.

436:14I mean, it should be simple, it should be simple.

436:16And then you have guys like John Carmack

436:19who comes in and does an incredibly optimized implementation

436:24that actually-

436:26- Well, yeah, more than that, right?

436:27Like he's, I mean, yes, right, but go ahead.

436:30- I mean, there's some cases with John Carmack

436:32by being an incredible engineer is able to bring to reality

436:37things that otherwise would have taken

436:39an extra five to 10 years.

436:41- Yeah, or maybe even more than that.

436:42Like, so, you know, this is the great man theory of history

436:45versus like sort of the kind of the determinist,

436:50like, you know, waves of history are pushing things along.

436:52The way I reconcile those is the tech tree model of history.

436:55You know, like civilization, you ever play a game,

436:56civilization? - Yeah.

436:57- Yeah, so like civilization, you got the tech tree

436:59and you can go and be like, okay, I'm gonna get spearmen

437:01or I'm gonna do granaries and pottery, right?

437:05And so you can think of it as something where

437:07here's everything that humanity has right now.

437:09And then Satoshi can push on this dimension

437:11of the tech tree.

437:12So he's a great man because there weren't other,

437:14there wasn't a Leibniz to Satoshi's Newton, right?

437:18Like Vitalik, as amazing as he is,

437:20was five years later or thereabouts, right?

437:22There wasn't contemporaneous, like, you know,

437:26another person that was doing what Satoshi was doing,

437:28it's truly Sui Gennaris, right?

437:31And that shows, you know, what one person can do.

437:33Like probably Steve Jobs with Apple, you know,

437:35given how the company was dying before he got there

437:36and he built it into the most valuable

437:38or put on the directory,

437:39he becomes the most valuable company in the world.

437:40It shows that there is quote, great man, right?

437:43Maybe more than just being five or 10 years ahead,

437:45like truly shaping where history goes, right?

437:48But on their hand, of course, that person,

437:50Steve Jobs himself wrote that email

437:52that Priestley was first saying that, you know,

437:53he doesn't grow his own food and he doesn't, you know,

437:57he didn't even think of the rights that he's got,

437:59someone else thought of those and whatnot.

438:01And so he kind of, it is always a tension

438:03between the individual and society on this, right?

438:05But coming back, so CS and stats,

438:08that's what you wanna learn.

438:10I think physics is also good to know

438:11because you go one level deeper

438:12and of course all these devices,

438:14you're not gonna be able to build, you know,

438:17LIDAR or things like that without understanding physics.

438:20- You mentioned that as one side of the brain,

438:22what about the other?

438:23- Right, so CS and stats is that side.

438:25Okay, and then you can go into any domain,

438:26any company, kick butt, you know, add value, right?

438:30Okay, so now the other side is creator, right?

438:32Becoming a creator.

438:33First, online, you know, like social media

438:37is about to become far, far, far more lucrative

438:40and monetizable.

438:41People are not updated.

438:43They kind of think this is, it's like over

438:45or something like that or it's old or whatever.

438:47But with crypto, once you have property rights

438:52in social media, now it's not what Google

438:55just allows you to have, but it's what you own, right?

438:58You actually have genuine property rights.

439:01And that just completely changes everything,

439:03just like, you know, the introduction of property rights

439:05in China change everything.

439:06It might take some lag for that to happen,

439:08but you can lend against that, borrow against that.

439:12You just, you own the digital property, right?

439:15And you can do NFTs, you can do, you know, investments,

439:17you can do all this other stuff, right?

439:18So in many ways, I think anybody who's listening,

439:22who's like, you know, I want to build a billion dollar

439:24company, I'm like, build a billion dollar company, yes.

439:26Also build a million person media operation

439:30or a million person following or something online, right?

439:33Because a US media company is simply not economically

439:37or socially aligned with your business.

439:40I mean, the big thing that I think, you know,

439:43tech and media actually, it's funny,

439:45there's this collision and sometimes

439:46there's an Adam smashing event

439:48and there's like a repositioning, right?

439:50And media attacked tech really hard in the 2010s,

439:54as well as many other things.

439:55And now, post 2020, I think it's now centralized tech

440:00and media versus decentralized tech and media.

440:03And centralized tech and media is NYT and Google,

440:07which have all become woke-ified,

440:08the establishment companies.

440:10But decentralized tech and media is like Substack,

440:12all lots of defectors from the US establishment,

440:17from the NYT have gone to Substack.

440:19But also all the founders and funders

440:21are much more vocal on Twitter,

440:23whether it's Mark Anderson, Jack Dorsey, Jeff Bezos,

440:28Zuckerberg, Zuck is just cutting out the establishment

440:30and just going direct to posting himself

440:33or posting the jiu-jitsu thing, you know,

440:35which he recently did or going and talking to Rogan, right?

440:38And so you now have this sort of Adam smash

440:41and like kind of reconstitution.

440:43Why is that important?

440:44Well, look, once you realize US media companies

440:48are companies and their employees,

440:51Sulzberger's employees are just dogs on a leash, right?

440:54They're hit men for old money,

440:56assassins for the establishment.

440:58They're never gonna investigate him, okay?

441:00There's this thing right now, like some strike

441:02or possible strike that's going at the New York Times.

441:04The obviously, the most obvious rich corporate zillionaire,

441:09the epitome of white privilege is, you know,

441:12and again, I'm not the kind of person

441:14who thinks white is an insult, right?

441:15But the guy who inherited the company

441:18from his father's father's father's father,

441:20in the NFL, right?

441:22You're supposed to have the Rooney rule

441:23where you're supposed to interview diverse candidates

441:24for the top job.

441:25You know, the other competitors for the top job

441:27of the publisher of the New York Times

441:28were two cousins of Sulzberger.

441:31So it's three cis straight white males in 2017

441:34who competed for this top job.

441:36And everybody in media was like silent

441:38about this coronation.

441:39They had this coronation article

441:40in the Times about this, right?

441:43So you have this meritless nepotist, right?

441:47This literally rich cis white man

441:49who makes millions of dollars a year

441:52and it makes like 50 X the salary of other,

441:55you know, NYT journalists, okay?

441:59And, you know, lives in a mansion and so on

442:02while denouncing, this is a born rich guy

442:04who denounces all the built rich guys

442:06at a company which is far whiter

442:08than the tech companies he's been denouncing, okay?

442:11And again, there's a website called

442:14Tech Journalism is Less Diverse Than Tech.com

442:16which actually shows the numbers on this, right?

442:18Here, I can look at this numbers, right?

442:21So why did I say this?

442:22Well, centralized US media has lost a ton of clout.

442:25Engagement is down.

442:27You've seen the crypto prices down,

442:29like stock prices have crashed.

442:30That's very obvious and quantifiable.

442:33Less visible is that media engagement has crashed, right?

442:36By the way, yeah, there's a plot

442:38that shows on the X axis percent white

442:41and then the Y axis are the different companies.

442:45And the tech companies are basically below 50% white

442:51and all the different media,

442:55tech journalism companies are all way above,

442:58you know, 70, 80, 90 plus percent white.

443:03And hypocrisy, ladies and gentlemen.

443:05- I mean, again, I'm not the kind of person

443:07who thinks white is an insult, but these guys are

443:10and they are the wokest whites on the planet, right?

443:13It's like ridiculous, right?

443:14- You know, it's like anyone who's homophobic,

443:19anyone who's, it feels like it's a personal thing

443:22that they're struggling with.

443:23Maybe the journalists are actually the ones who are racist.

443:27- Well, actually, you know, it's funny you say that

443:29because there's this guy, A.M. Rosenthal, okay?

443:33And you know, on his gravestone was,

443:35we kept the, he kept the paper straight, right?

443:37And actually he essentially went and,

443:41this is a managing editor of the New York Times for almost,

443:43you know, from '69 to '77, executive editor from '77 to '86.

443:47And it was a history-- - Oh my Lord.

443:50- Yeah, history of basically keeping,

443:52you know, gay reporters out.

443:53So essentially, the way I think about it is,

443:56New York Post reported that,

443:58just to talk about this for a second

444:01'cause it's so insane, all right?

444:03New York Post reported,

444:03and I've got some of this in the book, okay?

444:05But, Abe Rosenthal, managing editor of the New York Times

444:10from 1969 to 1977, executive editor from 1977 to 1986.

§58Transcript · 7:24:16–7:32:02

444:16His gravestone reads, he kept the paper straight.

444:19And then here's Jeet here on this.

444:22He kept the paper straight. As it happens,

444:23Rosenthal was a notorious homophobe.

444:25He made it a specific policy of the paper

444:26not to use the term gay.

444:27He denied a plum job to a gay man for being gay.

444:29He minimized AIDS crisis.

444:31So, like, you know, the thing about this is,

444:34this is not like a one-off thing, okay?

444:36The New York Times literally won a Pulitzer

444:39for choking out the Ukrainians,

444:41for helping starve five million Ukrainians to death.

444:43And now has reinvented themselves as like a cheerleader

444:46to stand with Ukraine, right?

444:47They were for, you know, Abe Rosenthal's homophobia

444:50before they were against it, right?

444:52They were like, if you saw the link I just pasted in, okay?

444:56During BLM, you know, it's credibly reported

444:59that, and I haven't seen this refuted,

445:01the family that owns the New York Times were slaveholders.

445:03Somehow that stayed out of 1619 and BLM coverage, right?

445:06So they were literally getting the profits from slavery

445:09to help bootstrap, you know, what was the Times

445:12or, you know, went into it.

445:13They actually did this article on like the compound interest

445:16of slaveholders in Haiti and how much they owed people,

445:20right?

445:21If you apply that to how much money they made off slaves,

445:23I mean, can anyone name one of Salzburg's slaves?

445:25Like, can we humanize that, put a face on that,

445:27show exactly, you know, who lost such that he may win, right?

445:31And so you stack this up and it's like, you know,

445:34for the Iraq war before they were against it.

445:35And it's like, yeah, sure, Bush, you know,

445:37did a lot of bad stuff there,

445:38but they also reported a lot of negative, you know,

445:41not negative coverage, like false coverage, right?

445:43About WMDs, like, you know, the whole jihadist military.

445:45And so it's like this amazing thing where

445:48if some of the most evil people in history

445:50are the historians, if the, you know,

445:52they actually ran this ad campaign in the 2017 time period

445:56called "The Truth."

445:57So giant Orwellian billboards, right?

446:00Which say, you know, the truth is essential.

446:04Here, it looks like this.

446:06- This was when?

446:07- This was just a few years ago, 2017.

446:10- This is in New York.

446:11A billboard by the New York Times reads,

446:15"The truth is hard to know.

446:17The truth is hard to find.

446:19The truth is hard to hear.

446:21The truth is hard to believe.

446:22The truth is hard to accept.

446:24Truth is hard to deny.

446:26The truth is more important now than ever."

446:30All right, this is like, yeah, this is 1984 type of stuff.

446:36- Yeah, now here's the thing.

446:37Do you know what other-

446:38- Truth, big.

446:40Truth, period, big white board.

446:44- So, okay, what other national newspaper

446:48proclaimed itself the truth in constantly, every day?

446:52You know this one, actually.

446:54- Oh, you mean Pravda?

446:56Yeah, yeah.

446:56- There you go, that's right.

446:57What is the Soviet translation?

446:59What's the Russian translation of Pravda?

447:00- It's truth.

447:02- Yeah.

447:02- That's so sorry, that didn't even connect to my head, yes.

447:05(laughing)

447:08Yeah, truth.

447:09Unironically, huh?

447:11- And again, it just so happens that-

447:13- Is this an Onion article?

447:14- What's that?

447:15Onion article, right.

447:16So like, you know, Pravda, like at least they were communist,

447:18these guys have figured out how to get,

447:20charge people $99 a year or whatever it is for the truth.

447:23Wow, that's actually even amazing, right?

447:25So the corporate truth.

447:26So when you stack all that up, right,

447:28basically legacy media has delegitimized themselves, right?

447:32Every day that those, quote,

447:33"investigative journalists don't investigate Salzburger,"

447:36shows that they are so courageous

447:38as to investigate your boss, but not their own.

447:40- Yes.

447:41- Ta-da, total mass drop, right?

447:44That's like, just obvious, right?

447:47And now once you realize this,

447:49and you know, every influencer who's coming up,

447:52every creator realizes, okay, well that means

447:56I have to think about these media corporations

447:57as competitors.

447:59They are competitors.

448:00They are competitors for advertisers and influence.

448:03They will try, basically what the media corporations did

448:06partially successfully during the 2010s is

448:08they sort of had this reign of terror over many influencers,

448:11where they'd give them positive coverage

448:14if they supported sort of the party line,

448:16and negative coverage if they didn't, okay?

448:18But now the soft power has just dropped off a cliff, right?

448:23And, you know, many kinds of tactics that, you know,

448:27establishment journalists do,

448:29one way of thinking of them is like as a for-profit stasi.

448:32Why?

448:33Because they may stalk you, dox you, surveil you.

448:38Like, they can literally put, you know,

448:41like two dozen people following somebody around for a year,

448:45and that's not considered stalking, right?

448:50That's not considered spamming.

448:52They are allowed to do this and make money doing this.

448:55Whereas if you so much as criticize them,

448:58oh my God, it's an attack on the free press, blah, blah,

449:00right?

449:01But you are the free press and I'm the free press.

449:02Like, we're the free press.

449:04Again, it goes back to the decentralized, you know,

449:06the free speech is not like some media corporation's thing.

449:09It's everybody's right.

449:10And what actually happened with social media,

449:12what they're against is not that it is an attack

449:14on democracy, it's that it's the ultimate democracy

449:16because people have a voice now

449:18that didn't used to have a voice.

449:19You know what I'm saying?

449:20Freedom of the press belongs to those who own one, right?

449:22That old one, right?

449:23Or never argue with a man who buys ink by the barrel, right?

449:25- Yeah.

449:26- In a real way, the entire things that were promised

449:30to people, freedom of speech, free markets, you know,

449:33like a beggar's democracy, it's like, oh yeah,

449:35you can have freedom of speech, but not freedom of reach,

449:38because you're just talking to yourself in your living room

449:40in, you know, Buffalo, New York, right?

449:44You maybe you can get gather some friends around.

449:45You didn't have the licenses to get, you know,

449:49like a TV broadcast license, radio license, you know,

449:52the resources to buy a newspaper.

449:53You didn't have practical reach or distribution, okay?

449:57What happened was all these people in the US

449:59and around the world suddenly got voices

450:01and they were suddenly saying things

450:02that the establishment didn't want them to say.

450:05And so that's what this counter decentralization has meant,

450:07both in the US and in China, this crackdown,

450:10but it's as if like a stock went up like 100X

450:12and then dropped like 30%.

450:15All the deplatforming stuff, yes, it's bad, okay?

450:18It's a rearward move, but in the long arc,

450:23I think we're going to have more speech.

450:26I think the counter decentralization may succeed in China,

450:29but I don't think it's gonna succeed outside it,

450:31'cause you're trying to retrofit speech and thought controls

450:34onto an ostensibly free society, right?

450:36Now that Czech got cash, people actually have a voice.

450:39It's not gonna be taken away from them very easily, right?

450:42So how does this relate to my advice to young kids?

450:44Once you have that context, right?

450:46Once you realize, hey, look,

450:48Apple didn't like do deals with Blackberry, okay?

450:53Amazon didn't collaborate or give free content

450:57to Barnes and Noble.

450:59Netflix was not going and, you know,

451:03socializing with employees of Blockbuster.

451:05These employees of establishment media corporations

451:07are your competitors, okay?

451:09They are out for clicks.

451:12They are out for money.

451:13If they literally choke out the Ukrainians

451:18before making themselves into champions

451:20of the Ukrainian cause, they'll basically do anything.

451:23And so once you realize that, you're like,

451:25okay, I need to build my own voice, okay?

451:27If you're Brazilian, you're Nigerian,

451:30you're in the Midwest or the Middle East, right?

451:32If you're, you know, Japanese, you know, wherever you are,

451:37you need to build your own voice

451:38because outsourcing that voice to somebody else

451:41and having it put through the distorting filter,

451:43which maximizes the clicks of the distorting kind of thing,

451:47it's just not gonna be in one's own interest.

451:49You don't have to, you know,

451:51even agree with everything I'm saying

451:52or even all of it to just be like,

451:53well, look, I'd rather speak for myself.

451:55I'd rather go direct if I could.

451:56Speak unmediated, in my own words, right?

451:58Because the choice of word is actually very important,

452:00right?

452:01So that's the second big thing.

452:02You need to, and this is the thing

§59Transcript · 7:32:03–7:39:34

452:03that took me a long time to understand, okay?

452:06Because I always got the importance of math and science.

452:08And in fact, I would have been probably

452:11just a career academic or mathematician in another life,

452:14you know, maybe statistician, something like that,

452:16electrical engineer, et cetera.

452:18But the importance of creating your own content

452:20and telling your own stories,

452:22if you don't tell your own story,

452:23the story will be told for you, right?

452:25The sort of flip of winners write history is

452:29if you do not write history, you will not be the winner.

452:31You must write a history, okay?

452:33As kind of a funny way of putting it, right?

452:36- Yeah, chicken and egg.

452:38Yeah. - Contra positive, right?

452:39And now what does that mean practically, okay?

452:41So in many ways, the program that I'm laying out

452:45is to build alternatives, peaceful alternatives

452:48to all legacy institutions, right?

452:52To obviously to the Fed, right?

452:54With Bitcoin, to Wall Street with DeFi

452:57and with Ethereum and so on.

452:59To academia with the ledger of record

453:02and the on-chain reproducible research that we talked about.

453:05To media with decentralized social media, decentralized AI.

453:09You can melt Hollywood with this, okay?

453:11Melt the RIA, melt the MPAA.

453:14I mean, there's some good people there,

453:16but everybody should have their own movies.

453:19You know, people should be able to tell their own stories

453:21and not just wait for it to be cast through Hollywood

453:24and Hollywood is just making remakes anyway, okay?

453:27So you can tell original stories

453:28and you can do so online and you can do so by hitting a key

453:31and the production values will be there now

453:32that the AI content creation tools are out there.

453:35I mentioned disrupting or replacing

453:37or building alternatives to the Fed, to Wall Street,

453:40to academia, to media.

453:43I mentioned to Wikipedia, right?

453:46There's things like Golden.

453:47There's things like,

453:48there's a bunch of web three-ish Wikipedia competitors

453:51that are combining both AI and crypto for property rights.

453:54There's, you'll also need alternatives

453:57to all the major tech companies.

453:58That was the list that I went through with,

454:01you know, decentralized search and social and messaging

454:06and operating systems and even the crypto phone, okay?

454:09And then finally, you need alternatives

454:10to US political institutions and more generally,

454:14and Chinese political institutions.

454:16And what are those?

454:18That's where the network state comes in.

454:20And the fundamental concept is if, you know,

454:23as I mentioned, only 2% of the world

454:25can become president of the United States

454:27about the number of Americans who are, you know,

454:29native born and over 35 and so on and so forth.

454:32But 100% of the world can become president

454:33of their own network state.

454:34What that means is,

454:36and this is kind of related to those two points, right?

454:38If you're an individual and you're good at engineering

454:40and you're good at content creation, okay?

454:42Like somebody like Jack Dorsey, for example,

454:44or Mark Anderson, actually a lot of the founders

454:46are actually quite good at both nowadays.

454:48You look at Bezos, he's actually funny on Twitter

454:49when he allows himself to be.

454:51You know, you don't become a leader of that caliber

454:53without having, you know, some of both, right?

454:55If you've got some of both,

454:57now, no matter where you are, what your ethnicity is,

455:00what your nationality is, whether you can get a US visa,

455:03you can become president of a network state.

455:05And what this is, it's a new path to political power

455:09that does not require going through either the US

455:11or the Chinese establishment.

455:12You don't have to wait till you're 75.

455:14You don't have to become a gerontocrat

455:16or spout the party line and so on.

455:19The V1 of this is like folks like, you know,

455:21Francis Suarez or Nagy McKelvey of El Salvador,

455:25but, you know, Suarez is a great example where,

455:28while not a full sovereign or anything like that,

455:30he has many ways, in many ways, the skills of a tech CEO

455:32where he just put up a, you know, a call on Twitter

455:36and helped build Miami,

455:38recruited all these people from all over.

455:39And it wasn't the two-party system, but the end city system.

455:41He just helped build the city by bringing people in, okay?

455:45And that's, and when I say Suarez is a V1,

455:47you know, I love Francis Suarez, I love what they're doing.

455:51The next iteration of that

455:52is to actually build the community itself

455:55rather than just kind of taking an existing Miami,

455:57you're building something that is potentially

455:58the scale of Miami, but as a digital community.

456:00And how many people is that?

456:01Well, like the Miami population is actually not that large.

456:04It's like 400 something thousand people.

456:07You could build a digital community like that.

456:08So if you have the engineering

456:12and you have the content creation

456:14and you build your own distribution,

456:15you own your own thing,

456:16you can become essentially a new kind of political leader

456:19where you just build a large enough online community

456:22that can crowdfund territory

456:23and you build your vision of the good.

456:25- And anybody could build the vision of the good.

456:30Talking about eight billion people.

456:32I mean, there's no more inspiring.

456:34I mean, sometimes when we look at how things are broken,

456:38there could be a cynical paralysis.

456:41- Right.

456:42- But ultimately this is a really empowering message.

456:45- Yes.

456:46I think there is a new birth of global freedom

456:51and that in the fullness of time,

456:53people will look at the internet

456:55as being to the Americas what the Americas were to Europe.

457:00A new world, okay?

457:02In the sense of this cloud continent has just come down,

457:06okay, and people are, you know,

457:08if you spend 50% of your waking hours looking at a screen,

457:1020%, you're spending all this time commuting up

457:12to the cloud in the morning and coming back down.

457:14You're doing these day trips

457:15and it's got a different geography

457:17and all these people are near each other

457:18that were far in the physical world and vice versa, right?

457:21And so this will, 'cause it's this new domain,

457:25it gives rise to virtual worlds

457:26that eventually become physical.

457:28In the same way that most people don't know this that well,

457:30but, you know, the Americas really shaped the old world.

457:33Many concepts like the ultra capitalism

457:36and ultra democracy of the new world,

457:38the French Revolution was in part,

457:39I mean, that was a bad version, okay?

457:40But that was in part inspired by the American, okay?

457:43There are many movements that came back

457:45to the old world that started here.

457:46In the same way, you know,

457:48I don't call it the mainstream media anymore.

457:50You know what I call it?

457:50The downstream media,

457:52because it's downstream of the internet.

457:54- That's right. - Right?

457:55- That's right.

457:56- And, you know, there's this guy a while back

457:58who he had this meme called

457:59the one kilo year American empire,

458:00that everything's American and so on.

458:02And his, I think, fundamental category era

458:04is he considers the internet to be American.

458:06But you know why that's not the case?

458:07Because, and it'll be very obviously so,

458:09I think in five or 10 years.

458:11Why?

458:12Because the majority of English speakers online

458:15by about 2030 are gonna be Indian.

458:19Okay?

458:21They just got 5G LTE super cheap internet recently,

458:25the last few years.

458:26It's like one of the biggest stories in the world

458:27that's not really being told that much, okay?

458:29And they've been lurking.

458:31And here's the thing.

458:32And this took me a long time to kind of, you know,

458:33figure out like to, not to figure it, but to communicate.

458:36I actually realized this in 2013,

458:37but these folks don't type with an accent.

458:41Okay, they speak with an accent,

458:44but they don't type with an accent.

458:46And all the way back in 2013,

458:47when I taught this Coursera course,

458:50I was like, who are these folks?

458:50I had hundreds of thousands of people

458:51from around the world sign up.

458:52It was a very popular course even then, okay?

458:54And hundreds of thousands of people signed up.

458:57I was like, who are these folks?

458:58And there were like Polish guys and, you know,

459:02like this lady from Brazil.

459:05And they knew scumbag Steve and good guy Greg,

459:09but they didn't know the Yankees or hot dogs

459:13or all the offline stuff of America.

459:15They didn't know physical America.

459:17They knew the digital conversation, the Reddit conversation

459:20and, you know, what became the Twitter conversation.

459:22For example, I just saw this YouTube video

459:25where there's a Indian founder.

459:27And he just said, just casually like,

459:29"Oh, I slid into his DMs like this," right?

459:32It was kind of a joke, but he said in an Indian accent

459:34and everybody laughed, everybody knew what he meant.

§60Transcript · 7:39:36–7:47:08

459:36And you're like, wait, that is a piece

459:38of what people think of as American internet slang.

459:41That's actually internet slang,

459:43which will soon be said mostly by non-Americans.

459:46Now, what does that mean?

459:46That means that just like the US was a branch of the UK

459:50and it started with English.

459:51And certainly there's lots of antecedents

459:53you can trace back to England.

459:54But nowadays, most Americans are not English in ancestry.

459:58There's Germans and Italians, Jewish people,

460:00African-Americans, you know, everybody, right?

460:03In the same way, the internet is much more representative

460:05of the world than the USA is.

460:07- It may have started American,

460:08but it got forked by the rest of the world.

460:10- That's right.

460:11And it gives a global equality of opportunity.

460:14It's even more capitalist than America is.

460:16It's even more democratic than America is,

460:19just as America is more capitalist

460:20and democratic than the UK.

460:22- The meme has escaped the cage of its captor.

460:26- And by the way, that doesn't mean I'm,

460:28so I wanna be very clear about something.

460:30When I say this kind of stuff, people will be like,

460:32oh my God, you hate America so much.

460:35And that's not at all what I'm saying.

460:36It's like, first, take Britain, okay?

460:39Would you think of the US or Israel or India or Singapore

460:44as being anti-British?

460:45Not today, they're post-British, right?

460:48In fact, they're quite respectful to,

460:50I mean, look at the Queen and so on.

460:51People respect the UK and so on.

460:52Everyone's coming there to pay their respects.

460:54- That might not be the greatest example, but yes, go on.

460:57- Well, let's put it like this.

460:57- Yes, but yes, broadly speaking.

460:59- They're not like burning the British flag

461:00and effigy or anything.

461:01I mean, essentially, the point is each of these societies

461:03is kind of moving along their own axis.

461:05They're not defining every action

461:06in terms of whether they're pro-British or anti-British.

461:09Like, once you have kind of a healthy distance,

461:12people can respect all the accomplishments of the UK

461:15while also being happy that you're no longer run by them.

461:19And then you can have like a better

461:22kind of arms-length relationship, right?

461:24And that's what post-British means.

461:26It is not anti-British, not at all.

461:27In fact, you can respect it while also being happy

461:30that you've got your own sovereignty, right?

461:32And you're happy that Britain is doing its own thing.

461:35I'm glad they're doing well, right?

461:37Okay, and they're actually doing

461:39some special economics zone stuff now.

461:41And in the same way, if you think of it

461:43as not being pro-American or anti-American,

461:46'cause that's a with us or against us

461:47formulation of George Bush, you know?

461:49Like, rather than just everything must be scored

461:52as pro-American or anti-American,

461:53you can think of post-American,

461:55that not everything has to be scored on that axis.

461:57Like, you know, there are certain things around the world

462:02which should be able to exist on their own,

462:04and you should be able to move along your own axis.

462:06Like, is, like, perhaps an obvious example,

462:09like, is longevity pro-American or anti-American?

462:13You know, no, it's like, it's on its own axis.

462:15It's moving on its own axis.

462:17And new states and new countries should be able to exist

462:20that do not have to define themselves as anti-American

462:24to do so, they're just post-American.

462:26Friendly to, but different from.

462:28That is totally possible to do,

462:30and we've got examples of that, right?

462:31And so when I talk about this,

462:33I'm talking about is really in many ways

462:35US and Western ideals, you know?

462:38But manifested in just a different form, right?

462:42And also, crucially, integrative of global ideals.

462:45You know, these are, in a sense,

462:47are global human rights, they're global values,

462:51which is freedom of speech, private property,

462:53protection from search and seizure.

462:54And actually, so that's all the Bill of Rights type stuff.

462:57And I saw something that I thought was really good recently

462:59that's a good first cut.

463:02That's something that I might wanna include.

463:03I credit him, of course, in the V to the book,

463:06a digital Bill of Rights, okay?

463:08And so this was a really good,

463:11decent first cut at a digital Bill of Rights, okay?

463:13And he talks about the right to encrypt,

463:15the right to compute, the right to repair,

463:18the right to portability, right?

463:19So encrypt is perhaps obvious,

463:21you know, e-commerce and everything.

463:23Compute, like your device, it's not like,

463:26you can't just have somebody intercept it

463:28or shut down your floating points.

463:31That might sound stupid,

463:32but in the EU, they're trying to regulate AI.

463:36And by doing that, they have some regulation

463:37that says like logic is itself regulated.

463:42Did you see this?

463:42- No, it's hilarious.

463:43- Hold on, I'll click the tweet

463:45that I sent you just before this one, right?

463:48So I was like, you know, in woke America,

463:52they're abolishing accelerated math

463:53'cause math is quote white supremacist.

463:56Not to be outdone, Europe seeks to regulate AI

463:58by regulating logic itself.

463:59You can't reason without a license, right?

464:02Article three, for purposes of this regulation,

464:04the following definition apply.

464:06AI system is software that's developed

464:08with one or more of the techniques

464:09and approaches listed in Annex 1.

464:11And you know what's in Annex 1?

464:12In Annex 1, logic and knowledge-based approaches.

464:16(laughs)

464:17So step away from the if statement.

464:20- Right.

464:21- Okay, and the thing is, you know,

464:24if you've dealt with these bureaucracies,

464:25the stupidest possible interpretation,

464:27I mean, think about, if you think,

464:29oh no, no, that wouldn't make any sense,

464:30they wouldn't do that.

464:31The entire web has been uglified

464:32by the stupid cookie thing

464:34that does absolutely nothing, right?

464:35The actual way to protect privacy

464:36is with user-local data,

464:38meaning like decentralized systems, right?

464:41Where the private keys are local.

464:42- Now I'm just laughing at the layers of absurdity

464:46in this step away from the if statement.

464:49I mean, it's hilarious.

464:50It's very, very clumsy.

464:52- They wanna be-- - It's us struggling

464:56how to define, yeah, the digital bill of rights, I suppose,

464:59and doing it so extremely clumsily.

465:01- It's funny, you know, the European,

465:02like I heard this thing, which is like,

465:04Europe's like, well, look, the US and China

465:05are way ahead of us in AI,

465:06but we're gonna be a leader in AI regulation.

465:09- Oh yeah, yeah, yeah.

465:11And something we haven't mentioned much of

465:13in this whole conversation,

465:15I think maybe implied between the lines

465:18is the thing that was in the Constitution

465:21of the pursuit and happiness,

465:22and the thing that is in many stories

465:25that we humans conjure up, which is love.

465:30- Oh yeah. - I think the thing

465:31that makes life worth living in many ways.

465:33But for that, you have to have freedom,

465:35you have to have stability,

465:38you have to have a society that's functioning

465:40so that humans can do what humans do,

465:42which is make friends, make family,

465:45make love, make beautiful things together as human beings.

465:52Balaji, this is like an incredible conversation.

465:57Thank you for showing an amazing future.

466:03I think really empowering to people

466:05because we can all be part of creating that future.

466:09And thank you so much for talking to me today.

466:12This was an incredible,

466:13obviously the longest conversation I've ever done,

466:15but also one of the most amazing, enlightening.

466:18Thank you.

466:19Thank you, brother, for everything you do.

466:20Thank you for inspiring all of us.

466:23- Well, Lex, this was great.

466:24And we didn't get through all the questions there.

466:28- We didn't. (Lex laughing)

466:29Just for the record, we didn't get,

466:31I would venture to say we didn't get through 50%.

466:35This is great, this is great.

466:37And I had to stop us from going too deep on any one thing,

466:42even though it was tempting, like those chocolates,

466:45those damn delicious-looking chocolates

466:48that was used as a metaphor about 13 hours ago,

466:51however long we started the conversation.

466:55This was incredible.

466:56It was really brilliant.

466:57You're brilliant throughout on all those different topics.

467:00So yeah, thank you again for talking to me.

467:02- This is great.

467:03I really appreciate being here.

467:05Sir.

467:06- Thanks for listening to this conversation

467:08with Balaji Srinivasan.

§61Transcript · 7:47:10–7:47:46

467:10To support this podcast,

467:11please check out our sponsors in the description.

467:14And now let me leave you with some words from Ray Bradbury.

467:17"People ask me to predict the future,

467:20when all I want to do is to prevent it.

467:22Better yet, build it.

467:25Predicting the future is much too easy anyway.

467:28You look at the people around you,

467:30the street you stand on,

467:31the visible air you breathe,

467:34and predict more of the same.

467:36To hell with more.

467:38I want better."

467:39Thank you for listening, and hope to see you next time.

467:43(upbeat music)

467:46(upbeat music)

— A LITTLE MORE TO THINK ABOUT. —