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Jaron Lanier: Virtual Reality, Social Media & the Future of Humans and AI

第218期2021-09-06English

嘉宾:Jaron Lanier

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§01Transcript · 00:00–09:04

00:00The following is a conversation with Jaron Lanier,

00:03a computer scientist, visual artist, philosopher,

00:06writer, futurist, musician,

00:08and the founder of the field of virtual reality.

00:11To support this podcast,

00:12please check out our sponsors in the description.

00:15As a side note, you may know that Jaron

00:18is a staunch critic of social media platforms.

00:20Him and I agree on many aspects of this,

00:23except perhaps I am more optimistic

00:26about it being possible to build better platforms.

00:29And better artificial intelligence systems

00:32that put long-term interests

00:33and happiness of human beings first.

00:36Let me also say a general comment about these conversations.

00:40I try to make sure I prepare well,

00:42remove my ego from the picture,

00:44and focus on making the other person shine

00:47as we try to explore the most beautiful

00:49and insightful ideas in their mind.

00:51This can be challenging when the ideas

00:54that are close to my heart are being criticized.

00:57In those cases, I do offer a little pushback,

00:59but respectfully, and then move on,

01:02trying to have the other person come out

01:04looking wiser in the exchange.

01:06I think there's no such thing as winning in conversations,

01:09nor in life.

01:11My goal is to learn and to have fun.

01:14I ask that you don't see my approach

01:15to these conversations as weakness.

01:17It is not.

01:19It is my attempt at showing respect

01:21and love for the other person.

01:24That said, I also often just do a bad job of talking,

01:28but you probably already knew that.

01:30So please give me a pass on that as well.

01:33This is the Lex Friedman Podcast,

01:35and here is my conversation with Jaron Lanier.

01:38You're considered the founding father of virtual reality.

01:43Do you think we will one day spend most

01:47or all of our lives in virtual reality worlds?

01:52- I have always found the very most valuable moment

01:56in virtual reality to be the moment

01:58when you take off the headset and your senses are refreshed

02:01and you perceive physicality afresh,

02:05as if you were a newborn baby,

02:07but with a little more experience.

02:08So you can really notice just how incredibly strange

02:13and delicate and peculiar and impossible the real world is.

02:20- So the magic is, and perhaps forever will be,

02:23in the physical world.

02:25- Well, that's my take on it.

02:26That's just me.

02:27I mean, I think I don't get to tell everybody else

02:31how to think or how to experience virtual reality,

02:33and at this point, there have been multiple generations

02:36of younger people who've come along and liberated me

02:41from having to worry about these things.

02:43But I should say also, even in what some,

02:47well, I called it mixed reality back in the day,

02:49and these days it's called augmented reality,

02:52but with something like a HoloLens,

02:54even then, like one of my favorite things

02:57is to augment a forest,

02:58not because I think the forest needs augmentation,

03:01but when you look at the augmentation next to a real tree,

03:05the real tree just pops out as being astounding.

03:08It's interactive, it's changing slightly all the time

03:13if you pay attention, and it's hard to pay attention

03:15to that, but when you compare it to virtual reality,

03:17all of a sudden you do.

03:19And even in practical applications,

03:21my favorite early application of virtual reality,

03:25which we prototyped going back to the '80s

03:28when I was working with Dr. Joe Rosen at Stanford Med

03:31near where we are now,

03:33we made the first surgical simulator,

03:35and to go from the fake anatomy of the simulation,

03:40which is incredibly valuable for many things,

03:43for designing procedures, for training,

03:45for all kinds of things, then to go to the real person,

03:47boy, it's really something.

03:50Surgeons really get woken up by that transition.

03:53It's very cool.

03:54So I think the transition is actually more valuable

03:56than the simulation.

03:57- That's fascinating.

03:59I never really thought about that.

04:01It's almost, it's like traveling elsewhere

04:05in the physical space can help you appreciate

04:08how much you value your home once you return.

04:11- Well, that's how I take it.

04:13I mean, once again,

04:15people have different attitudes towards it.

04:17All are welcome.

04:18- What do you think is the difference

04:20between the virtual world and the physical meat space world

04:23that you are still drawn, for you personally,

04:26still drawn to the physical world?

04:28Like there clearly then is a distinction.

04:31Is there some fundamental distinction

04:33or is it the peculiarities of the current set of technology?

04:37- In terms of the kind of virtual reality that we have now,

04:41it's made of software and software is terrible stuff.

04:45Software is always the slave of its own history,

04:50its own legacy.

04:52It's always infinitely arbitrarily messy and arbitrary.

04:57Working with it brings out a certain kind

05:00of nerdy personality in people, or at least in me,

05:03which I'm not that fond of.

05:05And there are all kinds of things

05:07about software I don't like.

05:09And so that's different from the physical world.

05:11It's not something we understand, as you just pointed out.

05:14On the other hand, I'm a little mystified

05:17when people ask me,

05:18"Well, do you think the universe is a computer?"

05:21And I have to say, "Well, I mean,

05:23"what on earth could you possibly mean

05:26"if you say it isn't a computer?"

05:27If it isn't a computer,

05:30it wouldn't follow principles consistently

05:33and it wouldn't be intelligible

05:35'cause what else is a computer ultimately?

05:37And we have physics, we have technology,

05:41so we can do technology, so we can program it.

05:43So I mean, of course it's some kind of computer,

05:45but I think trying to understand it as a Turing machine

05:48is probably a foolish approach.

05:52- Right, that's the question,

05:54whether it performs, this computer we call the universe,

05:58performs the kind of computation that can be modeled

06:01as a universal Turing machine,

06:03or is it something much more fancy, so fancy, in fact,

06:08that it may be beyond our cognitive capabilities

06:10to understand?

06:12- Turing machines are kind of,

06:14I'd call them teases in a way,

06:18'cause if you have an infinitely smart programmer

06:23with an infinite amount of time,

06:24an infinite amount of memory,

06:25and an infinite clock speed, then they're universal,

06:29but that cannot exist, so they're not universal in practice.

06:33And they actually are, in practice,

06:36a very particular sort of machine

06:38within the constraints,

06:40within the conservation principles of any reality

06:44that's worth being in, probably.

06:46And so, I think universality of a particular model

06:51is probably a deceptive way to think,

06:58even though at some sort of limit,

07:00of course, something like that's gotta be true

07:05at some sort of high enough limit,

07:07but it's just not accessible to us, so what's the point?

07:10- Well, to me, the question of whether we're living

07:12inside a computer or a simulation

07:15is interesting in the following way.

07:17There's a technical question is here.

07:20How difficult is it to build a machine,

07:25not that simulates the universe,

07:28but that makes it sufficiently realistic

07:31that we wouldn't know the difference,

07:33or better yet, sufficiently realistic

07:36that we would kinda know the difference,

07:37but we would prefer to stay in the virtual world anyway.

07:40I wanna give you a few different answers.

07:42I wanna give you the one that I think

07:43has the most practical importance to human beings right now,

07:47which is that there's a kind of an assertion

07:51sort of built into the way the question's usually asked

07:54that I think is false, which is a suggestion

07:57that people have a fixed level of ability

08:00to perceive reality in a given way.

08:03And actually, people are always learning, evolving,

08:08forming themselves.

08:09We're fluid, too.

08:10We're also programmable, self-programmable,

08:13changing, adapting.

08:15And so my favorite way to get at this

08:18is to talk about the history of other media.

08:20So for instance, there was a peer-reviewed paper

08:23that showed that an early wire recorder

08:26playing back an opera singer behind a curtain

08:28was indistinguishable from a real opera singer.

08:31And so now, of course, to us,

08:32it would not only be distinguishable,

08:34but it would be very blatant

08:35'cause the recording would be horrible.

08:37But to the people at the time,

08:39without the experience of it, it seemed plausible.

08:43There was an early demonstration

08:46of extremely crude video teleconferencing

08:49between New York and DC in the '30s, I think so,

08:54that people viewed as being absolutely realistic

08:56and indistinguishable, which to us would be horrible.

08:59And there are many other examples.

09:00Another one, one of my favorite ones,

09:02is in the Civil War era,

09:04there were itinerant photographers

§02Transcript · 09:06–18:01

09:06who collected photographs of people

09:07who just looked kind of like a few archetypes.

09:10So you could buy a photo of somebody

09:12who looked kind of like your loved one

09:14(laughs)

09:15to remind you of that person,

09:17'cause actually photographing them was inconceivable,

09:20and hiring a painter was too expensive,

09:22and you didn't have any way for the painter

09:23to represent them remotely anyway.

09:25How would they even know what they looked like?

09:27So these are all great examples

09:29of how in the early days of different media,

09:32we perceived the media as being really great,

09:34but then we evolved through the experience of the media.

09:37This gets back to what I was saying.

09:38Maybe the greatest gift of photography

09:40is that we can see the flaws in a photograph

09:42and appreciate reality more.

09:44Maybe the greatest gift of audio recording

09:46is that we can distinguish that opera singer now

09:49from that recording of the opera singer

09:51on the horrible wire recorder.

09:53So we shouldn't limit ourselves

09:57by some assumption of stasis that's incorrect.

10:01So that's the first thing, that's my first answer,

10:03which is I think the most important one.

10:05Now, of course, somebody might come back and say,

10:07oh, but technology can go so far,

10:09there must be some point at which it would surpass.

10:11That's a different question.

10:12I think that's also an interesting question,

10:14but I think the answer I just gave you

10:16is actually the more important answer

10:17to the more important question.

10:18- That's profound, yeah.

10:20But can you, the second question,

10:23which you're now making me realize is way different.

10:26Is it possible to create worlds

10:28in which people would want to stay instead of the real world?

10:32- Well.

10:33- Like en masse, like large numbers of people.

10:38- What I hope is, as I said before,

10:41I hope that the experience of virtual worlds

10:44helps people appreciate this physical world we have

10:49and feel tender towards it

10:51and keep it from getting too fucked up.

10:54That's my hope.

10:55- Do you see all technology in that way?

10:58So basically technology helps us appreciate

11:02the more sort of technology-free aspect of life.

11:06- Well, media technology.

11:10You can stretch that.

11:13Let me say, I could definitely play McLuhan

11:17and turn this into a general theory.

11:19It's totally doable.

11:20The program you just described is totally doable.

11:23In fact, I will psychically predict

11:25that if you did the research,

11:26you could find 20 PhD theses that do that already.

11:29I don't know, but they might exist.

11:31But I don't know how much value there is

11:34in pushing a particular idea that far.

11:38Claiming that reality isn't a computer in some sense

11:41seems incoherent to me 'cause we can program it.

11:44We have technology.

11:46It seems to obey physical laws.

11:48What more do you want from it to be a computer?

11:50I mean, it's a computer of some kind.

11:52We don't know exactly what kind.

11:53We might not know how to think about it.

11:54We're working on it.

11:55- Sorry to interrupt, but you're absolutely right.

11:59That's my fascination with the AI as well

12:01is it helps in the case of AI,

12:05I see as a set of techniques

12:07that help us understand ourselves, understand us humans.

12:10In the same way, virtual reality,

12:12and you're putting it brilliantly,

12:14it's a way to help us understand reality.

12:17- Sure.

12:19- Appreciate and open our eyes more richly to reality.

12:23- That's certainly how I see it.

12:26And I wish people who become incredibly fascinated,

12:29who go down the rabbit hole of the different fascinations

12:33with whether we're in a simulation or not,

12:35or there's a whole world of variations on that.

12:39I wish they'd step back and think about

12:41their own motivations and exactly what they mean.

12:44And I think the danger with these things is,

12:50so if you say, is the universe

12:54some kind of computer broadly,

12:56it has to be 'cause it's not coherent to say that it isn't.

12:59On the other hand, to say that that means

13:02you know anything about what kind of computer,

13:05that's something very different.

13:06And the same thing is true for the brain,

13:07the same thing is true for anything

13:10where you might use computational metaphors.

13:12We have to have a bit of modesty about where we stand.

13:15And the problem I have with these framings of computation

13:19as these ultimate cosmic questions

13:21is that it has a way of getting people

13:23to pretend they know more than they do.

13:25- Can you maybe, this is a therapy session,

13:28psychoanalyze me for a second.

13:30I really like the Elder Scrolls series,

13:32it's a role-playing game, Skyrim, for example.

13:36Why do I enjoy so deeply just walking around that world

13:41and then there's people you could talk to

13:45and you can just like, it's an escape,

13:48but my life is awesome, I'm truly happy,

13:51but I also am happy with the music that's playing

13:55and the mountains and carrying around a sword

13:59and just that, I don't know what that is.

14:02It's very pleasant though to go there

14:04and I miss it sometimes.

14:06- I think it's wonderful to love artistic creations,

14:11it's wonderful to love contact with other people,

14:16it's wonderful to love play and ongoing,

14:19evolving meaning and patterns with other people.

14:24I think it's a good thing.

14:26I'm not anti-tech and I'm certainly not anti-digital tech,

14:34I'm anti, as everybody knows by now,

14:37I think the manipulative economy of social media

14:41is making everybody nuts and all that,

14:42so I'm anti that stuff, but the core of it,

14:45of course I worked for many, many years

14:47on trying to make that stuff happen

14:49because I think it can be beautiful.

14:51Why not?

14:54And by the way, there's a thing about humans,

14:59which is we're problematic.

15:03Any kind of social interaction with other people

15:07is gonna have its problems.

15:10People are political and tricky,

15:13and I love classical music,

15:16but when you actually go to a classical music thing

15:18and it turns out, oh actually,

15:19this is like a backroom power deal kind of place

15:21and a big status ritual as well,

15:24and that's kind of not as fun,

15:26that's part of the package.

15:28And the thing is, it's always going to be,

15:30there's always gonna be a mix of things.

15:33I don't think the search for purity

15:38is gonna get you anywhere, so I'm not worried about that.

15:42I worry about the really bad cases

15:44where we're making ourselves crazy or cruel enough

15:48that we might not survive,

15:49and I think the social media criticism rises to that level,

15:53but I'm glad you enjoy it.

15:54I think it's great.

15:55- And I like that you basically say

15:59that every experience is both beauty and darkness,

16:02as in with classical music.

16:03I also play classical piano, so I appreciate it very much.

16:07But it's interesting.

16:09And even the darkness,

16:10in "A Man's Search for Meaning" with Viktor Frankl

16:12in the concentration camps,

16:15even there, there's opportunity to discover beauty.

16:19And so it's, that's the interesting thing about humans,

16:25is the capacity to discover beautiful

16:27in the darkest of moments,

16:29but there's always the dark parts too.

16:31- Well, I mean, it's,

16:34our situation is structurally difficult.

16:36We are--

16:37- Structurally difficult.

16:40- No, it is, it's true.

16:42We perceive socially, we depend on each other

16:44for our sense of place and perception of the world.

16:49I mean, we're dependent on each other,

16:52and yet there's also a degree in which we're inevitably,

16:56we inevitably let each other down.

16:59We are set up to be competitive as well as supportive.

17:05I mean, it's just,

17:06our fundamental situation is complicated and challenging,

17:10and I wouldn't have it any other way.

17:13- Okay, let's talk about one of the most challenging things.

17:17One of the things I unfortunately am very afraid of,

17:20being human, allegedly.

17:23You wrote an essay on death and consciousness,

17:26in which you write a note,

17:28"Certainly the fear of death

17:29"has been one of the greatest driving forces

17:31"in the history of thought

17:33"and in the formation of the character of civilization,

17:37"and yet it is under-acknowledged.

17:39"The great book on the subject,

17:41"The Denial of Death by Ernest Becker,

17:43"deserves a reconsideration."

17:45I'm Russian, so I have to ask you about this.

17:49What's the role of death in life?

17:51- See, you would have enjoyed coming to our house,

17:54'cause my wife is Russian,

17:57and we also have, - Awesome.

17:58- We have a piano of such spectacular qualities,

18:01you wouldn't, you would have freaked out.

§03Transcript · 18:03–27:21

18:03But anyway, we'll let all that go.

18:07So the context in which, I remember that essay,

18:12sort of, this was from maybe the '90s or something,

18:15and I used to publish in a journal

18:18called the Journal of Consciousness Studies,

18:20'cause I was interested in these endless debates

18:24about consciousness and science,

18:26which certainly continue today.

18:30And I was interested in how the future

18:36the fear of death and the denial of death

18:40played into different philosophical approaches

18:43to consciousness.

18:44Because I think on the one hand,

18:49the sort of sentimental school of dualism,

18:58meaning the feeling that there's something apart

19:00from the physical brain,

19:02some kind of soul or something else,

19:05is obviously motivated in a sense by a hope

19:08that whatever that is will survive death and continue,

19:11and that's a very core aspect

19:14of a lot of the world religions.

19:15Not all of them, not really, but most of them.

19:19The thing I noticed is that the opposite of those,

19:26which might be the sort of hardcore,

19:28no, the brain's a computer and that's it,

19:31in a sense, we're motivated in the same way

19:36with a remarkably similar chain of arguments,

19:40which is, no, the brain's a computer

19:43and I'm gonna figure it out in my lifetime

19:45and upload myself and I'll live forever. (laughs)

19:49- That's interesting.

19:50Yeah, that's like the implied thought, right?

19:53- Yeah, and so it's kind of this,

19:55in a funny way, it's the same thing.

19:58It's peculiar to notice that these people

20:03who would appear to be opposites in character

20:09and cultural references and in their ideas

20:14actually are remarkably similar.

20:16And to an incredible degree,

20:20this sort of hardcore computationalist idea

20:24about the brain has turned into medieval Christianity.

20:29There are the people who are afraid

20:31that if you have the wrong thought,

20:32you'll piss off the super AIs of the future

20:34who will come back and zap you and all that stuff.

20:38It's really turned into medieval Christianity

20:41all over again.

20:43- This is so the Ernest Becker's idea

20:44that the fear of death is the warm of the core,

20:49which is like, that's the core motivator

20:53of everything we see humans have created.

20:56The question is if that fear of mortality

20:59is somehow core, is like a prerequisite.

21:02- So you just moved across this vast cultural chasm

21:08that separates me from most of my colleagues in a way,

21:13and I can't answer what you just said on the level

21:15without this huge deconstruction.

21:17- Yes. - Should I do it?

21:18- Yes, what's the chasm?

21:20- Okay.

21:21- Let us travel across this vast chasm.

21:23- Okay, I don't believe in AI.

21:25I don't think there's any AI.

21:26There's just algorithms, we make them, we control them.

21:28Now, they're tools, they're not creatures.

21:30Now, this is something that rubs a lot of people

21:33the wrong way, and don't I know it.

21:36When I was young, my main mentor was Marvin Minsky,

21:39who's the principal author of the computer

21:43as creature rhetoric that we still use.

21:47He was the first person to have the idea at all,

21:48but he certainly populated the AI culture

21:52with most of its tropes, I would say,

21:55'cause a lot of the stuff people will say,

21:56"Oh, did you hear this new idea about AI?"

21:58And I'm like, "Yeah, I heard it in 1978, sure.

22:00"Yeah, I remember that."

22:01So Marvin was really the person,

22:03and Marvin and I used to argue all the time about this stuff

22:08'cause I always rejected it, and of all of his,

22:16I wasn't formally his student,

22:17but I worked for him as a researcher,

22:19but of all of his students and student-like people

22:23of his young adoptees, I think I was the one

22:27who argued with him about this stuff in particular,

22:30and he loved it.

22:31- Yeah, I would've loved to hear that conversation.

22:33- It was fun.

22:34- Did you ever converge to a place?

22:36- Oh, no, no.

22:37So the very last time I saw him, he was quite frail,

22:40and I was in Boston, and I was going to the old house

22:45in Brookline, his amazing house,

22:47and one of our mutual friends said,

22:49"Hey, listen, Marvin's so frail.

22:51"Don't do the argument with him.

22:53"Don't argue about AI."

22:55- Yeah.

22:56- And so I said, "But Marvin loves that."

22:58And so I showed up, and he was frail,

23:01and he looked up, and he said, "Are you ready to argue?"

23:04(all laughing)

23:07- He's such an amazing person for that.

23:10- So it's hard to summarize this

23:13'cause it's decades of stuff.

23:16The first thing to say is that nobody can claim

23:19absolute knowledge about whether somebody

23:23or something else is conscious or not.

23:25This is all a matter of faith, and in fact,

23:28I think the whole idea of faith needs to be updated,

23:32so it's not about God,

23:34but it's just about stuff in the universe.

23:36We have faith in each other being conscious,

23:39and then I used to frame this as a thing

23:42called the circle of empathy in my old papers,

23:45and then it turned into a thing

23:47for the animal rights movement, too.

23:49I noticed Peter Singer using it.

23:50I don't know if it was coincident,

23:52but anyway, there's this idea

23:54that you draw a circle around yourself,

23:56and the stuff inside is more like you,

23:58might be conscious, might be deserving of your empathy,

24:00of your consideration,

24:02and the stuff outside the circle isn't.

24:04And outside the circle might be a rock,

24:08or (laughs) I don't know.

24:12- And that circle is fundamentally based on faith.

24:15- Well, no, no. - Your faith

24:16in what is and what isn't.

24:18- The thing about the circle is it can't be pure faith.

24:21It's also a pragmatic decision,

24:23and this is where things get complicated.

24:26If you try to make it too big,

24:27you suffer from incompetence.

24:29If you say, "I don't wanna kill a bacteria.

24:33"I will not brush my teeth."

24:34I don't know, what do you do?

24:36There's a competence question

24:39where you do have to draw the line.

24:41People who make it too small become cruel.

24:44People are so clannish and political

24:46and so worried about themselves ending up

24:48on the bottom of society that they are always ready

24:52to gang up on some designated group,

24:54and so there's always these people

24:55who are being tried,

24:56we're always trying to shove somebody out of the circle.

24:58And so-- - So aren't you shoving AI

25:00outside the circle?

25:01- Well, give me a second. - All right.

25:02- So there's a pragmatic consideration here.

25:05And so, and the biggest questions are probably fetuses

25:10and animals lately, but AI is getting there.

25:13Now, with AI, I think,

25:16and I've had this discussion so many times,

25:21people say, "But aren't you afraid if you exclude AI,

25:23"you'd be cruel to some consciousness?"

25:26And then I would say, "Well, if you include AI,

25:29"you exclude yourself from being able

25:33"to be a good engineer or designer,

25:35"and so you're facing incompetence immediately."

25:38So I really think we need to subordinate algorithms

25:41and be much more skeptical of them.

25:43- Your intuition, you speak about this brilliantly

25:45with social media, how things can go wrong.

25:49Isn't it possible to design systems

25:54that show compassion, not to manipulate you,

25:57but give you control and make your life better

26:01if you so choose to?

26:02Grow together with systems,

26:04and the way we grow with dogs and cats,

26:06with pets, with significant others,

26:08in that way, they grow to become better people.

26:11I don't understand why that's fundamentally not possible.

26:14You're saying oftentimes you get into trouble

26:18by thinking you know what's good for people.

26:20- Well, look, there's this question

26:22of what frame we're speaking in.

26:25Do you know who Alan Watts was?

26:27So Alan Watts once said, "Morality is like gravity,

26:32"that in some absolute cosmic sense,

26:34"there can't be morality because at some point

26:36"it all becomes relative and who are we anyway?

26:39"Morality is relative to us tiny creatures."

26:42But here on Earth, we're with each other,

26:45this is our frame, and morality is a very real thing.

26:47Same thing with gravity.

26:48At some point, you get into interstellar space

26:52and you might not feel much of it,

26:54but here we are on Earth.

26:55And I think in the same sense,

26:57I think this identification with a frame

27:02that's quite remote cannot be separated

27:06from a feeling of wanting to feel sort of separate from

27:10and superior to other people or something like that.

27:12There's an impulse behind it that I really have to reject.

27:16And we're just not competent yet

27:18to talk about these kinds of absolutes.

27:21- Okay, so I agree with you that a lot of technologies

§04Transcript · 27:24–36:28

27:24sort of lack this basic respect,

27:27understanding, and love for humanity.

27:29There's a separation there.

27:30The thing I'd like to push back against,

27:32it's not that you disagree,

27:33but I believe you can create technologies

27:36and you can create a new kind of technologist, engineer,

27:41that does build systems that respect humanity,

27:44not just respect, but admire humanity,

27:46that have empathy for common humans, have compassion.

27:50- So, I mean, no, no, no.

27:52I think, yeah, I mean, I think musical instruments

27:57are a great example of that.

27:58Musical instruments are technologies

28:00that help people connect in fantastic ways.

28:02And that's a great example.

28:05My invention or design during the pandemic period

28:11was this thing called Together Mode,

28:12where people see themselves seated

28:14sort of in a classroom or a theater instead of in squares.

28:19And it allows them to semi-consciously perform to each other

28:25as if they have proper eye contact,

28:29as if they're paying attention to each other non-verbally.

28:31And weirdly, that turns out to work.

28:34And so it promotes empathy so far as I can tell.

28:37I hope it is of some use to somebody.

28:39The AI idea isn't really new.

28:43I would say it was born with Adam Smith's "Invisible Hand,"

28:47with this idea that we build this algorithmic thing

28:49and it gets a bit beyond us,

28:51and then we think it must be smarter than us.

28:53And the thing about the "Invisible Hand"

28:55is absolutely everybody has some line they draw

28:59where they say, "No, no, no,

29:00"we're gonna take control of this thing."

29:01They might have different lines,

29:03they might care about different things,

29:04but everybody ultimately became a Keynesian

29:06'cause it just didn't work.

29:07It really wasn't that smart.

29:09It was sometimes smart and sometimes it failed.

29:11And so if you really, people who really, really, really

29:16wanna believe in the "Invisible Hand" is infinitely smart,

29:20screw up their economies terribly.

29:22You have to recognize the economy as a subservient tool.

29:27Everybody does when it's to their advantage.

29:29They might not when it's not to their advantage.

29:31That's kind of an interesting game that happens.

29:34But the thing is, it's just like that with our algorithms.

29:37Like you can have a sort of a Chicago economic philosophy

29:42about your computers.

29:45Say, "No, no, no, my thing's come alive.

29:47"It's smarter than anything."

29:49- I think that there is a deep loneliness within all of us.

29:52This is what we seek.

29:54We seek love from each other.

29:56I think AI can help us connect deeper.

29:59Like this is what you criticize social media for.

30:02I think there's much better ways of doing social media

30:04that doesn't lead to manipulation,

30:06but instead leads to deeper connection between humans,

30:09leads to you becoming a better human being.

30:12And what that requires is some agency on the part of AI

30:15to be almost like a therapist, I mean, a companion.

30:18It's not telling you what's right.

30:22It's not guiding you as if it's an all-knowing thing.

30:25It's just another companion that you can leave at any time.

30:28You have complete transparency and control over.

30:31There's a lot of mechanisms that you can have

30:34that are counter to how current social media operates

30:38that I think is subservient to humans,

30:41or no, deeply respects human beings,

30:46and is empathetic to their experience

30:47and all those kinds of things.

30:48I think it's possible to create AI systems like that.

30:51And I think they need, I mean, that's a technical discussion

30:54of whether they need to have something

30:56that looks like AI versus algorithms,

31:03something that has an identity,

31:05something that has a personality,

31:07all those kinds of things.

31:09AI systems, and you've spoken extensively

31:11how AI systems manipulate you within social networks.

31:16And that's the biggest problem.

31:19It isn't necessarily that there's advertisements,

31:24that social networks present you with advertisements

31:29that then get you to buy stuff.

31:31That's not the biggest problem.

31:32The biggest problem is they then manipulate you.

31:35They alter your human nature to get you to buy stuff,

31:41or to get you to do whatever the advertiser wants.

31:46Maybe you can correct me.

31:47- Yeah, I don't see it quite that way,

31:49but we can work with that as an approximation.

31:52- Sure, so my--

31:53- I think the actual thing is even sort of more ridiculous

31:55and stupider than that, but that's okay.

31:58- So my question is, let's not use the word AI,

32:02but how do we fix it?

32:05- Oh, fixing social media.

32:06That diverts us into this whole other field,

32:10in my view, which is economics,

32:12which I always thought was really boring,

32:14but we have no choice but to turn into economists

32:16who wanna fix this problem,

32:17'cause it's all about incentives.

32:19But I've been around this thing since it started,

32:24and I've been in the meetings

32:27where the social media companies sell themselves

32:31to the people who put the most money into them,

32:33which are usually the big advertising holding companies

32:36and whatnot, and there's this idea

32:39that I think is kind of a fiction,

32:41and maybe it's even been recognized as that by everybody,

32:45that the algorithm will get really good

32:48at getting people to buy something,

32:49'cause I think people have looked at their returns

32:52and looked at what happens,

32:53and everybody recognizes it's not exactly right.

32:56It's more like a cognitive access blackmail payment

33:01at this point.

33:03Like, just to be connected, you're paying the money.

33:06It's not so much that the persuasion algorithms.

33:08So Stanford renamed its program,

33:10but it used to be called Engage Persuade.

33:12The Engage part works.

33:13The Persuade part is iffy,

33:15but the thing is that once people are engaged,

33:18in order for you to exist as a business,

33:20in order for you to be known at all,

33:21you have to put money into the--

33:23- Oh, that's dark.

33:24- Oh, no, that's not--

33:25- It doesn't work, but they have to--

33:27- But they're still, it's a giant cognitive access

33:30blackmail scheme at this point.

33:32So, because the science behind the Persuade part,

33:35it's not entirely a failure,

33:39but it's not what,

33:42we play make believe that it works more than it does.

33:47The damage doesn't come, honestly, as I've said in my books,

33:51I'm not anti-advertising.

33:53I actually think advertising can be demeaning and annoying

33:58and banal and ridiculous

34:01and take up a lot of our time with stupid stuff.

34:04Like, there's a lot of ways to criticize advertising

34:07that's accurate, and it can also lie

34:10and all kinds of things.

34:11However, if I look at the biggest picture,

34:14I think advertising, at least as it was understood

34:17before social media, helped bring people into modernity

34:20in a way that overall actually did benefit people overall.

34:24And you might say, am I contradicting myself

34:27because I was saying you shouldn't manipulate people?

34:29Yeah, I am, probably here.

34:30I mean, I'm not pretending to have this perfect airtight

34:33worldview without some contradictions.

34:35I think there's a bit of a contradiction there, so.

34:37- Well, looking at the long arc of history,

34:39I think advertising has, in some parts, benefited society

34:43because it funded some efforts that perhaps benefited society.

34:46- Yeah, I mean, I think there's a thing where,

34:51sometimes I think it's actually been of some use.

34:53Now, where the damage comes is a different thing, though.

34:58Social media, algorithms on social media

35:03have to work on feedback loops

35:04where they present you with stimulus,

35:06they have to see if you respond to the stimulus.

35:09Now, the problem is that the measurement mechanism

35:12for telling if you respond in the engagement feedback loop

35:16is very, very crude.

35:17It's things like whether you click more

35:19or occasionally if you're staring at the screen more,

35:21if there's a forward-facing camera that's activated,

35:23but typically there isn't.

35:25So you have this incredibly crude

35:27back channel of information.

35:29And so it's crude enough that it only catches

35:32sort of the more dramatic responses from you,

35:35and those are the fight or flight responses.

35:37Those are the things where you get scared or pissed off

35:40or aggressive or horny.

35:43These are these ancient,

35:44the sort of what are sometimes called

35:46the lizard brain circuits or whatever,

35:48these fast response, old, old, old evolutionary business

35:54circuits that we have that are helpful in survival

35:58once in a while, but are not us at our best.

36:00They're not who we wanna be,

36:01they're not how we relate to each other.

36:03They're this old business.

36:05So then just when you're engaged using those

36:07intrinsically, totally aside from whatever the topic is,

36:11you start to get incrementally just a little bit

36:13more paranoid, xenophobic, aggressive,

36:16you get a little stupid and you become a jerk.

36:21And it happens slowly.

36:22It's not like everybody's instantly transformed,

36:26but it does kind of happen progressively

36:28where people who get hooked kind of get drawn

§05Transcript · 36:30–44:06

36:30more and more into this pattern of being at their worst.

36:33- Would you say that people are able to,

36:35when they get hooked in this way,

36:37look back at themselves from 30 days ago

36:40and say, "I am less happy with who I am now,"

36:45or, "I'm not happy with who I am now

36:47versus who I was 30 days ago."

36:48Are they able to self-reflect when you take yourself

36:51outside of the lizard brain?

36:52- Sometimes.

36:54I wrote a book about people, suggesting people

36:56take a break from their social media to see what happens

36:58and maybe even, actually the title of the book

37:01was just "Arguments to Delete Your Account."

37:04- Yeah, 10 arguments. - 10 arguments.

37:06Although I always said, "I don't know that you should.

37:08"I can give you the arguments, it's up to you."

37:10I'm always very clear about that.

37:11But I get, I don't have a social media account, obviously,

37:15and it's not that easy for people to reach me.

37:18They have to search out an old-fashioned email address

37:21on a super crappy, antiquated website.

37:23It's actually a bit, I don't make it easy.

37:26And even with that, I get this huge flood of mail

37:28from people who say, "Oh, I quit my social media.

37:30"I'm doing so much better.

37:31"I can't believe how bad it was."

37:33But the thing is, what's for me a huge flood of mail

37:36would be an imperceptible trickle

37:37from the perspective of Facebook, right?

37:39And so I think it's rare for somebody to look at themselves

37:44and say, "Oh boy, I sure screwed myself over."

37:46(laughs)

37:47- Well, I-- - It's a really hard thing

37:48to ask of somebody.

37:49None of us find that easy, right?

37:51- Well, the reason I-- - It's just hard.

37:52- The reason I ask this is,

37:54is it possible to design social media systems

37:58that optimize for some longer-term metrics

38:01of you being happy with yourself?

38:04- Well, see-- - Personal growth.

38:05- I don't think you should try to engineer

38:07personal growth or happiness.

38:08I think what you should do is design a system

38:10that's just respectful of the people

38:12and subordinates itself to the people

38:14and doesn't have perverse incentives.

38:16And then at least there's a chance

38:18of something decent happening.

38:19- But you have to recommend stuff, right?

38:22So you're saying, like, be respectful.

38:24What does that actually mean engineering-wise?

38:26- People, yeah, curation.

38:27People have to be responsible.

38:30Algorithms shouldn't be recommending.

38:31Algorithms don't understand enough to recommend.

38:33Algorithms are crap in this era.

38:35I mean, I'm sorry, they are.

38:37And I'm not saying this as somebody

38:38as a critic from the outside.

38:39I'm in the middle of it.

38:40I know what they can do.

38:41I know the math.

38:41I know what the corpora are.

38:43I know the best ones.

38:46Our office is funding GPT-3 and all these things

38:49that are at the edge of what's possible.

38:53And they do not have yet.

38:57I mean, it still is statistical emergent pseudo-semantics.

39:02It doesn't actually have deep representation

39:04emerging of anything.

39:05It's just not, like, I mean,

39:06I'm speaking the truth here and you know it.

39:08- Well, let me push back on this.

39:10There's several truths here.

39:13So you're speaking to the way

39:15certain companies operate currently.

39:17I don't think it's outside the realm

39:18of what's technically feasible to do.

39:21There's just not incentive.

39:22Like, companies are not, why fix this thing?

39:26I am aware that, for example,

39:29the YouTube search and discovery

39:31has been very helpful to me.

39:33And there's a huge number of,

39:35there's so many videos that it's nice

39:38to have a little bit of help.

39:39- Have you done-- - But I'm still in control.

39:41- Let me ask you something.

39:42Have you done the experiment of letting YouTube

39:45recommend videos to you,

39:46either starting from a absolutely anonymous random place

39:50where it doesn't know who you are,

39:51or from knowing who you or somebody else is,

39:53and then going 15 or 20 hops?

39:55Have you ever done that and just let it go,

39:57top video recommend and then just go 20 hops?

40:00- No, I've not.

40:01- I've done that many times now.

40:03I have, because of how large YouTube is

40:06and how widely it's used,

40:07it's very hard to get to enough scale

40:10to get a statistically solid result on this.

40:14I've done it with high school kids,

40:15with dozens of kids doing it at a time.

40:18Every time I've done an experiment,

40:20the majority of times, after about 17 or 18 hops,

40:23you end up in really weird, paranoid, bizarre territory.

40:27Because ultimately, that is the stuff

40:29the algorithm rewards the most,

40:30because of the feedback crudeness.

40:32I was just talking about.

40:34So, I'm not saying that the video

40:36never recommends something cool.

40:38I'm saying that its fundamental core

40:40is one that promotes a paranoid style,

40:43that promotes increasing irritability,

40:46that promotes xenophobia, promotes fear, anger,

40:50promotes selfishness, promotes separation between people.

40:54And I would, the thing is,

40:55it's very hard to do this work solidly.

40:58Many have repeated this experiment,

40:59and yet, it still is kind of anecdotal.

41:02I'd like to do a large citizen science thing sometime

41:05and do it, but then I think the problem with that

41:07is YouTube would detect it and then change it.

41:09- Well, yes, I definitely,

41:10I love that kind of stuff in Twitter.

41:12So, Jack Dorsey has spoken about

41:14doing healthy conversations on Twitter,

41:16or optimizing for healthy conversations.

41:19What that requires within Twitter

41:20are most likely citizen experiments

41:24of what does healthy conversations actually look like,

41:27and how do you incentivize those healthy conversations?

41:30You're describing what often happens

41:33and what is currently happening.

41:34What I'd like to argue is it's possible

41:36to strive for healthy conversations,

41:39not in a dogmatic way of saying,

41:42I know what healthy conversations are,

41:44and I will tell you.

41:45- I think one way to do this

41:46is to try to look around at social,

41:49maybe not things that are officially social media,

41:51but things where people are together online

41:54and see which ones have more healthy conversations,

41:56even if it's hard to be completely objective

42:00in that measurement, you can kind of,

42:02at least crudely disagree.

42:03- You could do subjective annotation,

42:05like have a large crowd-sourced annotation.

42:07- Yeah, one that I've been really interested in is GitHub,

42:10'cause it could change, I'm not saying it'll always be,

42:16but for the most part,

42:17GitHub has had a relatively quite low poison quotient,

42:22and I think there's a few things about GitHub

42:25that are interesting.

42:26One thing about it is that people have a stake in it.

42:29It's not just empty status games.

42:31There's actual code, or there's actual stuff being done,

42:35and I think as soon as you have

42:36a real-world stake in something,

42:38you have a motivation to not screw up that thing,

42:42and I think that that's often missing,

42:45that there's no incentive for the person

42:48to really preserve something

42:49if they get a little bit of attention

42:51from dumping on somebody's TikTok or something.

42:56They don't pay any price for it,

42:56but you have to kind of get decent with people

43:00when you have a shared stake, a little secret,

43:03so GitHub does a bit of that.

43:05- GitHub is wonderful, yes,

43:08but I'm tempted to play the journey back at you,

43:13which is that GitHub is currently amazing,

43:16but the thing is, if you have a stake,

43:18then if it's a social media platform,

43:20they can use the fact that you have a stake

43:22to manipulate you because you wanna preserve the stake.

43:25- Right, well, this is why,

43:27this gets us into the economics,

43:29so there's this thing called data dignity

43:30that I've been studying for a long time.

43:33I wrote a book about an earlier version of it

43:34called "Who Owns the Future?"

43:37And the basic idea of it is that,

43:39once again, this is a 30-year conversation.

43:43- It's a fascinating topic.

43:44- Let me do the fastest version of this I can do.

43:46The fastest way I know how to do this

43:48is to compare two futures, all right?

43:51So future one is then the normative one,

43:55the one we're building right now,

43:56and future two is gonna be data dignity, okay?

44:00And I'm gonna use a particular population.

44:03I live on the Hill in Berkeley,

44:05and one of the features about the Hill

44:06is that as the climate changes, we might burn down

§06Transcript · 44:09–51:49

44:09and all lose our houses or die or something.

44:11Like, it's dangerous, you know, and it didn't used to be.

44:14And so who keeps us alive?

44:17Well, the city does.

44:18The city does some things.

44:19The electric company, kind of, sort of,

44:21maybe, hopefully, better.

44:23Individual people who own property

44:26take care of their property.

44:26That's all nice, but there's this other middle layer,

44:29which is fascinating to me,

44:30which is that the groundskeepers

44:33who work up and down that Hill,

44:35many of whom are not legally here,

44:38many of whom don't speak English,

44:40cooperate with each other to make sure trees don't touch

44:44to transfer fire easily from lot to lot.

44:46They have this whole little web that's keeping us safe.

44:49I didn't know about this at first.

44:50I just started talking to them

44:52'cause they were out there during the pandemic.

44:54And so I'd try to just see who are these people?

44:56Who are these people who are keeping us alive?

44:59Now, I wanna talk about the two different faiths

45:01for those people under Future One and Future Two.

45:04Future One, some weird, like, kindergarten paint job van

45:09with all these, like, cameras and weird things,

45:11drives up, observes what the gardeners

45:13and groundskeepers are doing.

45:15A few years later, some amazing robots

45:18that can shimmy up trees and all this

45:20show up, all those people are out of work,

45:21and there are these robots doing the thing.

45:23And the robots are good, and they can scale to more land.

45:26And they're actually good,

45:28but then there are all these people out of work.

45:29And these people have lost dignity.

45:31They don't know what they're gonna do.

45:32And then some people say,

45:34"Well, they go on basic income, whatever.

45:35They become wards of the state."

45:39My problem with that solution is every time in history

45:42that you've had some centralized thing

45:44that's doling out the benefits,

45:45that thing gets seized by people

45:47because it's too centralized and it gets seized.

45:49That's happened to every communist experiment I can find.

45:52So I think that turns into a poor future

45:56that will be unstable.

45:57I don't think people will feel good in it.

45:59I think it'll be a political disaster

46:01with a sequence of people seizing

46:03this central source of the basic income.

46:06And you'll say, "Oh, no, an algorithm can do it."

46:08Then people will seize the algorithm.

46:09They'll seize control.

46:11- Unless the algorithm is decentralized

46:13and it's impossible to seize the control.

46:15- Yeah, but-- - Very difficult.

46:18- 60-something people own a quarter of all the Bitcoin.

46:22Like the things that we think are decentralized

46:24are not decentralized.

46:25So let's go to future two.

46:27Future two, the gardeners see that van with all the cameras

46:32and the kindergarten paint job,

46:33and they say, the groundskeepers,

46:35and they say, "Hey, the robots are coming.

46:37We're gonna form a data union."

46:39And amazingly, California has a little baby data union law

46:43emerging in the books.

46:44- Interesting, that's interesting.

46:45- And so they'll, and what they say,

46:48and they say, "We're gonna form a data union,

46:52and we're gonna, not only are we gonna sell our data

46:55to this place, but we're gonna make it better

46:57than it would have been if they were just grabbing it

46:58without our cooperation.

47:00And we're gonna improve it.

47:01We're gonna make the robots more effective.

47:03We're gonna make them better,

47:04and we're gonna be proud of it.

47:05We're gonna become a new class of experts

47:08that are respected."

47:09And then here's the interesting,

47:11there's two things that are different about that world

47:14from future one.

47:15One thing, of course, the people have more pride.

47:17They have more sense of ownership, of agency,

47:22but what the robots do changes.

47:27Instead of just like this functional,

47:30like, we'll figure out how to keep the neighborhood

47:31from burning down, you have this whole creative community

47:35that wasn't there before thinking,

47:36well, how can we make these robots better

47:38so we can keep on earning money?

47:39There'll be waves of creative groundskeeping

47:44with spiral pumpkin patches and waves of cultural things.

47:48There'll be new ideas like,

47:49wow, I wonder if we could do something

47:51about climate change mitigation with how we do this.

47:54What about fresh water?

47:56Can we make the food healthier?

47:59What about, all of a sudden,

48:00there'll be this whole creative community on the case.

48:03And isn't it nicer to have a high-tech future

48:06with more creative classes

48:07than one with more dependent classes?

48:09Isn't that a better future?

48:10But, but, but, but, but,

48:12future one and future two have the same robots

48:16and the same algorithms.

48:17There's no technological difference.

48:19There's only a human difference.

48:21And that's second future two, that's state of dignity.

48:24- The economy that you're, I mean,

48:27the game theory here is on the humans,

48:29and then the technology is just the tools

48:31that enable both possibilities.

48:32- Yeah, you know, I mean, I think you can believe in AI

48:36and be in future two.

48:37I just think it's a little harder.

48:39You have to do more contortions.

48:42It's possible.

48:43- So in the case of social media,

48:46what does data dignity look like?

48:49Is it people getting paid for their data?

48:51- Yeah, I think what should happen is in the future,

48:55there should be massive data unions

48:58for people putting content into the system.

49:04And those data unions should smooth out the results

49:06a little bit so it's not winner-take-all.

49:08But at the same time, and people have to pay for it too.

49:11They have to pay for Facebook the way they pay for Netflix

49:14with an allowance for the poor.

49:17There has to be a way out too.

49:20But the thing is, people do pay for Netflix.

49:22It's a going concern.

49:23People pay for Xbox and PlayStation.

49:26Like people, there's enough people to pay

49:28for stuff they want.

49:29This could happen too.

49:29It's just that this precedent started

49:31that moved it in the wrong direction.

49:33And then what has to happen,

49:35the economy's a measuring device.

49:38So if it's an honest measuring device,

49:40the outcomes for people form a normal distribution,

49:44a bell curve.

49:45And then so there should be a few people

49:47who do really well, a lot of people who do okay.

49:49And then we should have an expanding economy

49:51reflecting more and more creativity and expertise

49:54flowing through the network.

49:56And that expanding economy moves the result

49:58just a bit forward.

49:59So more people are getting money out of it

50:01than are putting money into it.

50:02So it gradually expands the economy and lifts all boats.

50:05And the society has to support the lower wing

50:09of the bell curve too, but not universal basic income.

50:12It has to be for the, you know,

50:14'cause if it's an honest economy,

50:16there will be that lower wing

50:19and we have to support those people.

50:20There has to be a safety net.

50:22But see what I believe, I'm not gonna talk about AI,

50:26but I will say that I think there'll be more

50:29and more algorithms that are useful.

50:31And so I don't think everybody's gonna be supplying data

50:34to groundskeeping robots,

50:36nor do I think everybody's gonna make their living

50:38with TikTok videos.

50:38I think in both cases, there'll be a rather small contingent

50:42that do well enough at either of those things.

50:45But I think there might be many, many, many,

50:48many of those niches that start to evolve

50:50as there are more and more algorithms,

50:51more and more robots.

50:52And it's that large number

50:54that will create the economic potential

50:56for a very large part of society

50:58to become members of new creative classes.

51:01- Do you think it's possible to create a social network

51:06that competes with Twitter and Facebook

51:07that's large and centralized in this way?

51:10Not centralized, sort of large, large.

51:12- How do we get, all right,

51:13so I gotta tell you how to get from what I'm talking,

51:16how to get from where we are to anything kind of in the zone

51:19of what I'm talking about is challenging.

51:22I know some of the people who run,

51:25like I know Jack Dorsey,

51:27I view Jack as somebody who's actually,

51:32I think he's really striving and searching

51:37and trying to find a way to make it better,

51:39but it's kind of like,

51:42it's very hard to do it while in flight.

51:44And he's under enormous business pressure too.

51:46- So Jack Dorsey to me is a fascinating study

51:49because I think his mind is in a lot of good places.

§07Transcript · 51:52–1:00:37

51:52He's a good human being,

51:54but there's a big Titanic ship

51:56that's already moving in one direction.

51:57It's hard to know what to do with it.

51:59- I think that's the story of Twitter.

52:00I think that's the story of Twitter.

52:02One of the things that I observed

52:04is that if you just wanna look at the human side,

52:06meaning like how are people being changed?

52:08How do they feel?

52:09What does the culture like?

52:11Almost all of the social media platforms that get big

52:15have an initial sort of honeymoon period

52:18where they're actually kind of sweet and cute.

52:20Like if you look at the early years of Twitter,

52:22it was really sweet and cute,

52:23but also look at Snap, TikTok.

52:27And then what happens is as they scale

52:30and the algorithms become more influential

52:32instead of just the early people,

52:34when it gets big enough that it's the algorithm running it,

52:36then you start to see the rise of the paranoid style

52:39and then they start to get dark.

52:40And we've seen that shift in TikTok rather recently.

52:43- But I feel like that scaling reveals the flaws

52:48within the incentives.

52:50- I feel like I'm torturing you.

52:52I'm sorry.

52:53- No, it's not torturing.

52:54No, because I have hope for the world with humans

52:59and I have hope for a lot of things that humans create,

53:02including technology.

53:04And I just, I feel it is possible

53:06to create social media platforms

53:08that incentivize different things than the current.

53:13I think the current incentivization

53:15is around like the dumbest possible thing

53:18that was invented like 20 years ago, however long.

53:21And it just works and so nobody's changing it.

53:24I just think that there could be a lot of innovation

53:26for more, see, you kind of push back this idea

53:29that we can't know what long-term growth or happiness is.

53:33If you give control to people

53:35to define what their long-term happiness and goals are,

53:39then that optimization can happen

53:42for each of those individual people.

53:44- Well, I mean, imagine a future

53:50where probably a lot of people would love

53:55to make their living doing TikTok dance videos,

53:59but people recognize generally

54:02that's kind of hard to get into.

54:03Nonetheless, dance crews have an experience

54:07that's very similar to programmers

54:09working together on GitHub.

54:10So the future is like a cross between TikTok and GitHub

54:14and they get together and they have their,

54:17they have rights.

54:18They're negotiating, they're negotiating for returns.

54:21They join different artist societies

54:23in order to soften the blow of the randomness

54:26of who gets the network effect benefit

54:29'cause nobody can know that.

54:31And I think an individual person

54:35might join a thousand different data unions

54:37in the course of their lives, or maybe even 10,000.

54:40I don't know, but the point is

54:41that we'll have like these very hedged,

54:44distributed portfolios of different data unions

54:46we're part of.

54:47And some of them might just trickle in a little money

54:50for nonsense stuff where we're contributing

54:52to health studies or something.

54:54But I think people will find their way.

54:57They'll find their way to the right GitHub-like community

55:00in which they find their value

55:02in the context of supplying inputs and data

55:06and taste and correctives and all of this

55:09into the algorithms and the robots of the future.

55:14- And that is a way to resist

55:17the lizard brain-based funding mechanisms.

55:22- It's an alternate economic system

55:25that rewards productivity, creativity,

55:28value as perceived by others.

55:30It's a genuine market.

55:31It's not doled out from a center.

55:33There's not some communist person deciding who's valuable.

55:36It's actual market.

55:37And the money is made by supporting that

55:43instead of just grabbing people's attention

55:46in the cheapest possible way,

55:47which is definitely how you get the lizard brain.

55:49- Yeah.

55:50Okay, so we're finally at the agreement.

55:53(laughing)

55:55But I just think that...

55:57(laughing)

55:59So yeah, I'll tell you how I think to fix social media.

56:03There's a few things.

56:05So one, I think people should have complete control

56:08over their data and transparency of what that data is

56:11and how it's being used if they do hand over the control.

56:14Another thing, they should be able to delete,

56:16walk away with their data at any moment, easy,

56:19like with a single click of a button, maybe two buttons.

56:22I don't know.

56:23Just easily walk away with their data.

56:25The other is control of the algorithm,

56:28individualized control of the algorithm for them.

56:31So each one has their own algorithm.

56:33Each person has their own algorithm.

56:34They get to be the decider of what they see in this world.

56:39And to me, that's, I guess, fundamentally decentralized

56:43in terms of the key decisions being made.

56:46But if that's made transparent,

56:47I feel like people will choose that system

56:50over Twitter of today, over Facebook of today,

56:53when they have the ability to walk away,

56:55to control their data,

56:56and to control the kinds of thing they see.

56:59Now, let's walk away from the term AI.

57:01You're right.

57:03In this case, you have full control of the algorithms

57:07that help you if you want to use their help.

57:10But you can also say F you to those algorithms

57:12and just consume the raw, beautiful waterfall

57:17of the internet.

57:19I think that, to me, that's not only fixes social media,

57:23but I think it would make a lot more money.

57:25So I would like to challenge the idea.

57:27I know you're not presenting that,

57:28but that the only way to make a ton of money

57:31is to operate like Facebook is.

57:33I think you can make more money by giving people control.

57:37- Yeah, I mean, I certainly believe that.

57:39We're definitely in the territory

57:41of wholehearted agreement here.

57:45I do want to caution against one thing,

57:48which is making a future that benefits programmers

57:52versus people, like this idea

57:53that people are in control of their data.

57:55So years ago, I co-founded an advisory board for the EU

57:59with a guy named Giovanni Buttarelli who passed away.

58:02It's one of the reasons I wanted to mention it.

58:03A remarkable guy who'd been,

58:06he was originally a prosecutor

58:07who was throwing mafioso in jail in Sicily.

58:12So he was like this intense guy who was like,

58:15I've dealt with death threats,

58:17Mark Zuckerberg doesn't scare me, whatever.

58:19So we worked on this path of saying,

58:22let's make it all about transparency and consent.

58:24And it was one of the theaters that led to this huge

58:26data privacy and protection framework in Europe

58:32called the GDPR.

58:34And so therefore, we've been able to have empirical feedback

58:38on how that goes.

58:39And the problem is that most people actually get stymied

58:44by the complexity of that kind of management.

58:46They have trouble, and reasonably so.

58:49I don't, I'm like a techie.

58:51I can go in and I can figure out what's going on.

58:54But most people really do.

58:56And so there's a problem that it differentially benefits

59:02those who kind of have a technical mindset

59:05and can go in and sort of have a feeling

59:07for how this stuff works.

59:09I kind of still want to come back to incentives.

59:11And so if the incentive for whoever's,

59:15if the commercial incentive is to help the creative people

59:17of the future make more money,

59:18'cause you get a cut of it,

59:20that's how you grow an economy.

59:22- Not the programmers.

59:24- Well, some of them will be programmers.

59:25It's not anti-programmer.

59:26I'm just saying that it's not only programmers.

59:30- So, yeah, you have to make sure the incentives are right.

59:35I mean, I like control is an interface problem

59:40to where you have to create something

59:41that's compelling to everybody,

59:45to the creatives, to the public.

59:48I mean, there's, I don't know, Creative Commons,

59:52like the licensing.

59:53There's a bunch of legal speak,

59:57just in general, the whole legal profession.

60:00It's nice when it can be simplified

60:01in the way that you can truly, simply understand.

60:04Everybody can simply understand the basics.

60:07In the same way, it should be very simple to understand

60:11how the data is being used

60:14and what data is being used for people.

60:17But then you're arguing that in order for that to happen,

60:20you have to have the incentives aligned.

60:22- I mean, a lot of the reason that money works

60:26is actually information hiding and information loss.

60:30Like, one of the things about money

60:32is a particular dollar you get

60:34might have passed through your enemy's hands

60:36and you don't know it.

60:37But also, I mean, this is what Adam Smith,

§08Transcript · 1:00:40–1:09:20

60:40if you wanna give the most charitable interpretation possible

60:43to the invisible hand, is what he was saying,

60:46is that there's this whole complicated thing,

60:48and not only do you not need to know about it,

60:50the truth is you'd never be able to follow it if you tried.

60:52And it's like, let the economic incentives

60:55solve for this whole thing.

60:57And that, in a sense, every transaction's like a neuron

61:01in a neural net.

61:02If he'd had that metaphor, he would have used it.

61:05And let the whole thing settle to a solution

61:08and don't worry about it.

61:09I think this idea of having incentives

61:13that reduce complexity for people can be made to work.

61:17And that's an example of an algorithm

61:19that could be manipulative or not,

61:20going back to your question before about,

61:22can you do it in a way that's not manipulative?

61:24And I would say a GitHub-like, if you just have this vision,

61:29GitHub plus TikTok combined, is it possible?

61:33I think it is.

61:34I really think it is. - I'm not gonna be able

61:35to unsee that idea of creatives on TikTok

61:39collaborating in the same way

61:41that people on GitHub collaborate.

61:42- Why not? - I like that kind of version.

61:44- Why not? - I like it, I love it.

61:46- I just, like, right now when people use,

61:48by the way, father of teenage daughter, so.

61:51- It's all about TikTok, right?

61:53- So, you know, when people use TikTok,

61:55there's a lot of, it's kind of funny,

61:59I was gonna say cattiness,

62:00but I was just using the cat as this exemplar

62:03of what we're talking about, so I don't know.

62:04I contradict myself, but anyway,

62:06there's all this cattiness where people are like,

62:07eww, this person's, and I just,

62:11what about people getting together

62:13and kind of saying, okay, we're gonna work on this move,

62:16we're gonna get a better, can we get a better musician?

62:18And they do that, but that's the part

62:22that's kind of off the books right now, you know?

62:25That should be, like, right there,

62:26that should be the center, that's where the,

62:28that's the really best part.

62:29- Well, that's where the invention of Git, period,

62:32the versioning is brilliant, and so some of the things

62:35you're talking about, technology, algorithms,

62:38tools can empower, and that's the thing,

62:41for humans to connect, to collaborate, and so on.

62:45Can we upset more people a little bit?

62:48You already-- - Maybe, we'd have to try.

62:50- No, no, can we, can I ask you to elaborate,

62:53'cause my intuition was that you would be a supporter

62:57of something like cryptocurrency and Bitcoin,

62:59because it is fundamentally emphasizes decentralization.

63:03What do you, so can you elaborate on what--

63:05- Yeah, okay, look-- - Your thoughts on Bitcoin.

63:08- It's kind of funny, I wrote,

63:12I've been advocating some kind of digital currency

63:16for a long time, and when the,

63:19when Bitcoin came out, and the original paper on blockchain,

63:25my heart kind of sank, because I thought,

63:29oh my God, we're applying all of this fancy thought,

63:32and all these very careful distributed security measures

63:36to recreate the gold standard?

63:38Like, it's just so retro, it's so dysfunctional,

63:42it's so useless from an economic point of view,

63:44so it's always, and then the other thing

63:46is using computational inefficiency at a boundless scale

63:50as your form of security is a crime against the atmosphere,

63:54obviously, a lot of people know that now,

63:55but we knew that at the start.

63:57Like, the thing is, when the first paper came out,

63:59I remember a lot of people saying, oh my God,

64:01this thing scales, it's a carbon disaster, you know?

64:04And I just like, I'm just mystified,

64:09but that's a different question than when you asked,

64:11can you have a cryptographic currency,

64:15or at least some kind of digital currency

64:17that's of a benefit, and absolutely, like I'm,

64:20and there are people who are trying

64:21to be thoughtful about this, you should,

64:23if you haven't, you should interview

64:24Vitalik Buterin sometime.

64:25- Yeah, I've interviewed him twice.

64:27- Okay, so like, there are people in the community

64:30who are trying to be thoughtful,

64:31and trying to figure out how to do this better.

64:33- It has nice properties, though, right?

64:34So one of the nice properties is that,

64:36like, government centralized, it's hard to control.

64:39And then the other one, to fix some of the issues

64:41that you're referring to, I'm sort of playing

64:42devil's advocate here, is, you know,

64:44there's lightning network, there's ideas,

64:46how you build stuff on top of Bitcoin,

64:50similar with gold, that allow you to have

64:52this kind of vibrant economy that operates,

64:55not on the blockchain, but outside the blockchain,

64:57and uses Bitcoin for like,

65:01checking the security of those transactions.

65:03- So Bitcoin's not new, it's been around for a while.

65:05I've been watching it closely, I've not seen one example

65:10of it creating economic growth.

65:13There was this obsession with the idea

65:14that government was the problem.

65:16That idea that government's the problem,

65:18let's say government earned that wrath honestly.

65:22Because if you look at some of the things

65:25that governments have done in recent decades,

65:27it's not a pretty story.

65:29Like, after a very small number of people

65:33in the US government decided to bomb and landmine

65:37Southeast Asia, it's hard to come back and say,

65:40oh, government's this great thing.

65:41But then the problem is that this resistance to government

65:46is basically resistance to politics.

65:51It's a way of saying, if I can get rich,

65:53nobody should bother me.

65:54It's a way of not having obligations to others.

65:56And that ultimately is a very suspect motivation.

66:00- But does that mean that the impulse,

66:04that the government should not overreach its power is flawed?

66:09- Well, I mean, what I wanna ask you to do

66:12is to replace the word government with politics.

66:15Like, our politics is people having to deal with each other.

66:19My theory about freedom is that the only authentic

66:23form of freedom is perpetual annoyance.

66:26All right, so annoyance means you're actually dealing

66:30with people 'cause people are annoying.

66:31Perpetual means that that annoyance is survivable,

66:34so it doesn't destroy us all.

66:36So if you have perpetual annoyance, then you have freedom.

66:38- And that's politics.

66:39- That's politics.

66:40If you don't have perpetual annoyance,

66:42something's gone very wrong, and you've suppressed

66:45those people, and it's only temporary,

66:46it's gonna come back and be horrible.

66:48You should seek perpetual annoyance.

66:51I'll invite you to a Berkeley City Council meeting

66:52so you can know what that feels like.

66:54- What perpetual annoyance feels like.

66:55(laughing)

66:57- But anyway, so freedom is being,

66:59the test of freedom is that you're annoyed

67:01by other people.

67:02If you're not, you're not free.

67:03If you're not, you're trapped in some temporary illusion

67:06that's gonna fall apart.

67:07Now, this quest to avoid government is really a quest

67:11to avoid that political feeling, but you have to have it.

67:14You have to deal with it.

67:15And it sucks, but that's the human situation.

67:19That's the human condition.

67:20And this idea that we're gonna have this abstract thing

67:22that protects us from having to deal with each other

67:25is always an illusion.

67:26- The idea, and I apologize, I overstretched the use

67:30of the word government.

67:32The idea is there should be some punishment from the people

67:37when a bureaucracy, when a set of people

67:41or a particular leader, like in an authoritarian regime,

67:44which more than half the world currently lives under,

67:47if they become, they stop representing the people,

67:53it stops being like a Berkeley meeting

67:56and starts being more like a dictatorial kind of situation.

68:01So the point is it's nice to give people,

68:06the populace in a decentralized way,

68:08power to resist that kind of,

68:13that government becoming over authoritarian.

68:15- Yeah, but people, see this idea that the problem

68:18is always the government being powerful is false.

68:21The problem can also be criminal gangs.

68:23The problem can also be weird cults.

68:25The problem can be abusive, abusive clergy.

68:30The problem can be infrastructure that fails.

68:35The problem can be poisoned water.

68:37The problem can be failed electric grids.

68:39The problem can be a crappy education system

68:44that makes the whole society less and less

68:49able to create value.

68:51There are all these other problems that are different

68:53from an overbearing government.

68:54Like you have to keep some sense of perspective

68:57and not be obsessed with only one kind of problem

68:59because then the others will pop up.

69:01- But empirically speaking,

69:02some problems are bigger than others.

69:05So like some groups of people, like governments or gangs

69:10or companies lead to problems more than others.

69:12- Are you a US citizen?

69:13- Yes.

69:14- Has the government ever really been a problem for you?

69:16- Well, okay.

69:17So first of all, I grew up in the Soviet Union

69:19and actually--

69:20- Yeah, my wife did too.

§09Transcript · 1:09:22–1:18:36

69:22- So I have seen, you know.

69:25- Sure.

69:26- And has the government bothered me?

69:28I would say that that's a really complicated question,

69:32especially because the United States is such,

69:35it's a special place like a lot of other countries.

69:39- My wife's family were refuseniks.

69:41And so we have like a very,

69:43and her dad was sent to the Gulag.

69:46For what it's worth, on my father's side,

69:49all but a few were killed by pogrom

69:51in a post-Soviet pogrom in Ukraine.

69:56So I--

69:58- I would say, 'cause you did a little trick of,

70:00eloquent trick of language that you switched

70:03to the United States to talk about government.

70:06So I believe, unlike my friend, Michael Malice,

70:10who's an anarchist,

70:12I believe government can do a lot of good in the world.

70:15That is exactly what you're saying,

70:17which is it's politics.

70:19The thing that Bitcoin folks and cryptocurrency folks argue

70:22is that one of the big ways

70:25that government can control the populace

70:26is a centralized bank, like control the money.

70:30That was the case in the Soviet Union too.

70:32There's, you know, inflation can really make

70:36poor people suffer.

70:38And so what they argue is this is one way to go around

70:43that power that government has

70:46of controlling the monetary system.

70:48So that's a way to resist.

70:50That's not actually saying government bad.

70:53That's saying some of the ways

70:55that central banks get into trouble

70:59can be resisted through centralized--

71:01- So let me ask you, on balance today,

71:04in the real world, in terms of actual facts,

71:07do you think cryptocurrencies are doing more

71:10to prop up corrupt, murderous, horrible regimes

71:14or to resist those regimes?

71:15Where do you think the balance is right now?

71:17- I know exactly, having talked to a lot

71:20of cryptocurrency folks, what they would tell me, right?

71:23It's hard, it's, I don't, no, no.

71:27- I'm asking it as a real question.

71:29There's no way to know the answer perfectly.

71:30- There's no way to know the answer perfectly.

71:32- However, I gotta say, if you look at people

71:36who've been able to decode blockchains,

71:39and they do leak a lot of data,

71:41they're not as secure as is widely thought,

71:43there are a lot of unknown Bitcoin whales

71:47from pretty early, and they're huge.

71:49And if you ask, who are these people?

71:53There's evidence that a lot of them are quite,

71:57not the people you'd wanna support, let's say.

72:00And I just don't, like, I think empirically,

72:03this idea that there's some intrinsic way

72:07that bad governments will be disempowered,

72:12and people will be able to resist them more

72:16than new villains, or even villainous governments

72:18will be empowered, there's no basis for that assertion.

72:21It just is kind of circumstantial.

72:24And I think in general, Bitcoin ownership is one thing,

72:29but Bitcoin transactions have tended

72:33to support criminality more than productivity.

72:37- Of course, they would argue that was the story

72:39of its early days, that now more and more Bitcoin

72:43is being used for legitimate transactions.

72:46- I didn't say for legitimate transactions,

72:49I said for economic growth, for creativity.

72:52I think what's happening is people are using it

72:57a little bit for buying, I don't know,

72:59maybe somebody's companies make it available

73:02for this and that, they buy a Tesla with it or something.

73:05Investing in a startup, hard, it might have happened

73:11a little bit, but it's not an engine of productivity,

73:13creativity, and economic growth,

73:16whereas old-fashioned currency still is.

73:18And anyway, look, I think something,

73:23I'm pro the idea of digital currencies.

73:28I am anti the idea of economics wiping out politics

73:33as a result.

73:37I think they have to exist in some balance

73:40to avoid the worst dysfunctions of each.

73:42- In some ways, there's parallels to our discussion

73:44of algorithms and cryptocurrency is you're pro the idea,

73:49but it can be used to manipulate,

73:54you can be used poorly by aforementioned humans.

73:59- Well, I think that you can make better designs

74:02and worse designs.

74:03And I think, and you know, the thing about cryptocurrency

74:06that's so interesting is how many of us are responsible

74:11for the poor designs because we're all so hooked

74:15on that Horatio Alger story, on like,

74:17I'm gonna be the one who gets the viral benefit.

74:20You know, way back when all this stuff was starting,

74:22I remember it would have been in the 80s,

74:24somebody had the idea of using viral as a metaphor

74:27for network effect.

74:29And the whole point was to talk about

74:32how bad network effect was,

74:33that it always created distortions that ruined

74:36the usefulness of economic incentives,

74:39that created dangerous distortions.

74:42Like, but then somehow, even after the pandemic,

74:45we think of viral as this good thing

74:47'cause we imagine ourselves as the virus, right?

74:49We wanna be on the beneficiary side of it.

74:52But of course, you're not likely to be.

74:54- There is a sense because money is involved,

74:57people are not reasoning clearly always

75:01because they want to be part of that first viral wave

75:06that makes them rich.

75:07And that blinds people from their basic morality.

75:11- I had an interesting conversation.

75:13I don't, I sort of feel like I should respect

75:15some people's privacy,

75:16but some of the initial people who started Bitcoin,

75:20I remember having an argument about like,

75:23it's intrinsically a Ponzi scheme.

75:26Like, the early people have more than the later people.

75:29And the further down the chain you get,

75:31the more you're subject to gambling-like dynamics

75:34where it's more and more random

75:36and more and more subject to weird network effects

75:37and whatnot, unless you're a very small player, perhaps,

75:41and you're just buying something.

75:43But even then you'll be subject to fluctuations

75:45'cause the whole thing is just kind of,

75:47like as it fluctuates,

75:49it's going to wave around the little people more.

75:51And I remember the conversation turned to gambling

75:55because gambling is a pretty large economic sector.

75:58And it's always struck me as being non-productive.

76:01Like somebody goes to Las Vegas, they lose money.

76:03And so one argument is, well, they got entertainment.

76:07They paid for entertainment as they lost money.

76:09So that's fine.

76:10And Las Vegas does up the losing of money

76:13in an entertaining way, so why not?

76:14It's like going to a show.

76:16So that's one argument.

76:17The argument that was made to me was different from that.

76:19It's that, no, what they're doing

76:21is they're getting a chance to experience hope.

76:23And a lot of people don't get that chance.

76:25And so that's really worth it, even if they're going to lose.

76:27They have that moment of hope

76:29and they need to be able to experience that.

76:31And it was a very interesting argument.

76:33- That's so heartbreaking 'cause I've seen it.

76:38But I've seen that, I have that a little bit of a sense.

76:41I've talked to some young people

76:43who invest in cryptocurrency.

76:46And what I see is this hope.

76:48This is the first thing that gave them hope.

76:50And that's so heartbreaking to me

76:52that you've gotten hope from, so much is invested.

76:56It's like hope from somehow becoming rich

77:00as opposed to something, to me, I apologize,

77:02but money is in the long-term

77:04not going to be a source of that deep meaning.

77:07It's good to have enough money,

77:09but it should not be the source of hope.

77:12And it's heartbreaking to me

77:13how many people it's a source of hope.

77:16- Yeah, you've just described the psychology of virality

77:21or the psychology of trying to base a civilization

77:25on semi-random occurrences of network effect peaks.

77:29And it doesn't really work.

77:32I mean, I think we need to get away from that.

77:34We need to soften those peaks

77:36and except Microsoft, which deserves every penny,

77:40but in every other case.

77:41- Well, you mentioned GitHub.

77:43I think what Microsoft did with GitHub was brilliant.

77:46I was very happy.

77:47Okay, if I can give a, not a critical,

77:51but on Microsoft, 'cause they recently purchased Bethesda.

77:56So Elder Scrolls is in their hands.

77:59I'm watching you, Microsoft,

78:01do not screw up my favorite game.

78:03So.

78:03- Yeah, well, look, I'm not speaking for Microsoft.

78:07I have an explicit arrangement with them

78:09where I don't speak for them, obviously.

78:11Like that should be very clear.

78:12I do not speak for them.

78:13I am not saying, I like them.

78:17I think such is amazing.

78:19The term data dignity was coined by Satya.

78:23Like, so, you know, we have, it's kind of extraordinary,

78:27but you know, Microsoft's this giant thing.

78:29It's gonna screw up this or that.

78:30You know, it's not, I don't know.

78:33It's kind of interesting.

78:35I've had a few occasions in my life

78:36to see how things work from the inside of some big thing.

§10Transcript · 1:18:39–1:26:49

78:39And you know, it's always just people kind of,

78:42it's, I don't know.

78:44There's always like coordination problems.

78:48And there's always.

78:49- Human problems.

78:50- Oh God.

78:51- And there's some good people, there's some bad people.

78:52It's always.

78:53- I hope Microsoft doesn't screw up your game.

78:56- And I hope they bring Clippy back.

78:57You should never kill Clippy.

78:59Bring Clippy back.

79:00- Oh, Clippy.

79:01But Clippy promotes the myth of AI.

79:04- Well, that's why, this is why I think you're wrong.

79:06- How about if we, all right.

79:08Could we bring back Bob instead of Clippy?

79:10- Which one was Bob?

79:11- Oh, Bob was another thing.

79:13Bob was this other screen character

79:15who was supposed to be the voice of AI.

79:16Cortana, Cortana, would Cortana do it for you?

79:19- Cortana is too corporate.

79:21I like it, it's fine.

79:24- There's a woman in Seattle who's like the model

79:27for Cortana, did Cortana's voice.

79:28- The voice?

79:29- There was like.

79:30- No, the voice is great.

79:31- We had her as a, she used to walk around

79:34if you were wearing hollow lines for a bit.

79:36I don't think that's happening anymore.

79:38I think, I don't think you should turn a software

79:40into a creature.

79:41- Well, you and I.

79:42- Get a cat, just get a cat.

79:43- You and I, you and I.

79:44Well, get a dog, get a dog.

79:46- Or a dog, yeah.

79:48- Yeah, you're.

79:48- Or a hedgehog.

79:49- A hedgehog.

79:50- Yeah.

79:51- You co-authored a paper, you mentioned Lee Smolin,

79:55titled "The Autodidactic Universe,"

80:00which describes our universe as one

80:01that learns its own physical laws.

80:05That's a trippy and beautiful and powerful idea.

80:08What are, what would you say are the key ideas

80:10in this paper?

80:11- Ah, okay.

80:12Well, I should say that paper reflected work

80:16from last year and the project,

80:18the program has moved quite a lot.

80:20So it's a little, there's a lot of stuff

80:22that's not published that I'm quite excited about.

80:24So I have to kind of keep my frame

80:26in that last year's thing.

80:29So I have to try to be a little careful about that.

80:33We can think about it in a few different ways.

80:35The core of the paper, the technical core of it

80:40is a triple correspondence.

80:42One part of it was already established,

80:46and then another part is in the process.

80:49The part that was established was, of course,

80:52understanding different theories of physics

80:55as matrix models.

80:57The part that was fresher is understanding those

81:01as machine learning systems,

81:03so that we could move fluidly

81:04between these different ways of describing systems.

81:07And the reason to wanna do that

81:10is to just have more tools and more options,

81:12because, well, theoretical physics is really hard,

81:17and a lot of programs have kind of run into a state

81:22where they feel a little stalled, I guess.

81:25I wanna be delicate about this,

81:26'cause I'm not a physicist.

81:27I'm the computer scientist collaborating.

81:29So I don't mean to diss anybody's--

81:32- So this is almost like gives a framework

81:34for generating new ideas in physics.

81:36- As we start to publish more about where it's gone,

81:39I think you'll start to see there's tools

81:43and ways of thinking about theories

81:46that I think open up some new paths

81:50that will be of interest.

81:52There's the technical core of it,

81:54which is this idea of a correspondence

81:57to give you more facility.

81:58But then there's also the storytelling part of it.

82:01And this is something,

82:02Lee loves stories and I do.

82:06And the idea here is that a typical way

82:11of thinking about physics

82:15is that there's some kind of starting condition,

82:18and then there's some principle

82:19by which the starting condition evolves.

82:22And the question is like, why the starting condition?

82:26Like how, oh, the starting condition has to get kind of,

82:31it has to be fine-tuned and all these things about it

82:33have to be kind of perfect.

82:35And so we were thinking, well, look,

82:37what if we could push the storytelling

82:40about where the universe comes from much further back

82:42by starting with really simple things that evolve,

82:46and then through that evolution,

82:47explain how things got to be how they are

82:48through very simple principles, right?

82:51And so we've been exploring a variety of ways

82:55to push the start of the storytelling

82:57further and further back, which,

83:00and it's an interesting,

83:02it's really kind of interesting,

83:03'cause like for all of his,

83:06Lee is sometimes considered to be,

83:09to have a radical quality in the physics world,

83:13but he still is like, no, this is gonna be like

83:18the kind of time we're talking about

83:19in which evolution happens is the same time we're in now.

83:22And we're talking about something that starts

83:24and continues, and I'm like,

83:26well, what if there's some other kind of time

83:28that's time-like, and it sounds like metaphysics,

83:31but there's an ambiguity, you know,

83:33like it has to start from something,

83:36and it's kind of an interesting,

83:37so there's this,

83:38a lot of the math can be thought of either way,

83:42which is kind of interesting.

83:44- So push it so far back that basically all the things

83:46we take for granted in physics start becoming emergent.

83:49- I really wanna emphasize, this is all super baby steps.

83:53I don't wanna over-claim.

83:54It's like, I think a lot of the things we're doing,

83:57we're approaching some old problems

83:59in a pretty fresh way, informed.

84:02There's been a zillion papers about how you can think

84:04of the universe as a big neural net,

84:06or how you can think of different ideas in physics

84:09as being quite similar to, or even equivalent to,

84:12some of the ideas in machine learning.

84:14And that actually works out crazy well.

84:18Like, I mean, that is actually kind of eerie

84:21when you look at it.

84:21Like, there's probably two or three dozen papers

84:25that have this quality, and some of them are just crazy good.

84:28And it's very interesting.

84:30What we're trying to do is take those kinds of observations

84:34and turn them into an actionable framework

84:35where you can then start to do things

84:38with landscapes of theories that you couldn't do before,

84:40and that sort of thing.

84:42- So in that context, or maybe beyond,

84:46how do you explain us humans?

84:47How unlikely are we, this intelligent civilization?

84:50Or is there a lot of others,

84:53or are we alone in this universe?

84:55- Yeah.

84:58- You seem to appreciate humans very much.

85:01- I've grown fond of us.

85:04(both laughing)

85:06- We're okay.

85:07We have our nice qualities.

85:10- I like that.

85:14I mean, we're kind of weird.

85:16We sprout this hair on our heads,

85:17and then we're, I don't know,

85:18we're sort of weird animals.

85:20- That's a feature, not a bug, I think, the weirdness.

85:23- I hope so.

85:24I hope so.

85:25I think if I'm just gonna answer you in terms of truth,

85:35the first thing I'd say is we're not

85:38in a privileged enough position,

85:40at least as yet, to really know much about who we are,

85:45how we are, what we're really like

85:48in the context of something larger,

85:50what that context is, all that stuff.

85:52We might learn more in the future.

85:54Our descendants might learn more,

85:55but we don't really know very much,

85:57which you can either view as frustrating

85:59or charming like that first year of TikTok or something.

86:02- All roads lead back to TikTok, I like it.

86:06- Well, lately.

86:07There's another level at which I can think about it

86:12where I sometimes think that if you're a person

86:17that if you are just quiet and you do something

86:22that gets you in touch with the way reality happens,

86:25and for me, it's playing music,

86:28sometimes it seems like you can feel a bit

86:31of how the universe is,

86:32and it feels like there's a lot more going on in it,

86:36and there is a lot more life and a lot more stuff happening

86:39and a lot more stuff flowing through.

86:41I'm not speaking as a scientist now.

86:43This is kind of a more my artist side talking,

86:46and it's, I feel like I'm suddenly

86:49in multiple personalities with you, but.

§11Transcript · 1:26:51–1:36:45

86:51- Well, Kerouac, Jack Kerouac said

86:54that music is the only truth.

86:56What do you, it sounds like you might be at least in part.

87:01- There's a passage in Kerouac's book, "Dr. Sax,"

87:05where somebody tries to just explain the whole situation

87:08with reality and people in like a paragraph,

87:10and I couldn't reproduce it for you here,

87:12but it's like, yeah, like there are these bulbous things

87:15that walk around and they make these sounds.

87:16You can sort of understand them, but only kind of,

87:18and then there's like this, and it's just like this amazing,

87:20like just really quick, like if some spirit being

87:24or something was gonna show up in our reality

87:26and hadn't knew nothing about it,

87:27it's like a little basic intro of like,

87:29okay, here's what's going on here.

87:31An incredible passage.

87:32- Yeah. - Yeah.

87:33- It's like a one or two sentence summary

87:36in "Hitchhiker's Guide to the Galaxy," right,

87:38of what this-- - Mostly harmless.

87:41- Mostly harmless.

87:43- Yeah. - Do you think there's truth

87:44to that, that music somehow connects

87:46to something that words cannot?

87:48- Yeah, music is something that just towers above me.

87:52I don't feel like I have an overview of it.

87:57It's just the reverse.

87:58I don't fully understand it,

88:00because on one level, it's simple.

88:02Like you can say, oh, it's a thing people evolved

88:06to coordinate our brains on a pattern level

88:10or something like that.

88:11There's all these things you can say about music,

88:13which are, you know, some of that's probably true.

88:16It's also, there's kind of like this,

88:21this is the mystery of meaning.

88:26Like there's a way that just,

88:29instead of just being pure abstraction,

88:31music can have like this kind of substantiality to it

88:35that is philosophically impossible.

88:38I don't know what to do with it.

88:41- Yeah, the amount of understanding

88:43I feel I have when I hear the right song

88:46at the right time is not comparable

88:49to anything I can read on Wikipedia.

88:52Anything I can understand, read through in language.

88:57The music does connect us to something.

88:59- There's this thing there.

89:00Yeah, there's some kind of a thing in it.

89:04And I've never ever, I've read across a lot of explanations

89:09from all kinds of interesting people

89:12like that it's some kind of a flow language

89:16between people or between people and how they perceive

89:19and that kind of thing.

89:20And that sort of explanation is fine,

89:24but it's not quite it either.

89:26- Yeah, there's something about music

89:29that makes me believe that panpsychism

89:32could possibly be true,

89:34which is that everything in the universe is conscious.

89:36It makes me think,

89:39makes me be humble in how much or how little I understand

89:44about the functions of our universe,

89:48that everything might be conscious.

89:50- Most people interested in theoretical physics

89:54eventually land in panpsychism,

89:56but I'm not one of them.

90:00I still think there's this pragmatic imperative

90:05to treat people as special.

90:09So I will proudly be a dualist.

90:11- Without people and cats, people and cats.

90:14- Yeah, I'm not quite sure where to draw the line

90:19or why the lines there or anything like that,

90:21but I don't think I should be required

90:22to all the same questions are equally mysterious

90:25for no line.

90:26So I don't feel disadvantaged by that.

90:28So I shall remain a dualist.

90:30But if you listen to anyone trying to explain

90:35where consciousness is in a dualistic sense,

90:38either believing in souls or some special thing

90:41in the brain or something,

90:42you pretty much say, screw this, I'm gonna be a panpsychist.

90:45(laughing)

90:47- Fair enough, well put.

90:53- Is there moments in your life that happen

90:55that were defining in the way that you hope others,

90:59your daughters might--

91:00- Well, listen, I gotta say,

91:02the moments that defined me were not the good ones.

91:06The moments that defined me were often horrible.

91:09I've had successes, but if you ask what defined me,

91:17my mother's death,

91:19being under the World Trade Center and the attack,

91:25the things that have had an effect on me

91:30were the most were sort of real world terrible things,

91:35which I don't wish on young people at all.

91:37And this is the thing that's hard about giving advice

91:42to young people that they have to learn their own lessons

91:47and lessons don't come easily.

91:52And a world which avoids hard lessons

91:56will be a stupid world.

91:58And I don't know what to do with it.

92:00That's a little bundle of truth

92:03that has a bit of a fatalistic quality to it,

92:05but I don't, this is like what I was saying

92:07that freedom equals eternal annoyance.

92:10There's a degree to which honest advice

92:16is not that pleasant to give.

92:20And I don't want young people

92:23to have to know about everything.

92:25I think--

92:26- You don't wanna wish hardship on them.

92:27- Yeah, I think they deserve to have

92:30a little grace period of naivety that's pleasant.

92:34I mean, I do, if it's possible, if it's,

92:38these things are, this is tricky stuff.

92:42I mean, if you,

92:45okay, so let me try a little bit on this advice thing.

92:51I think one thing,

92:52and any serious broad advice will have been given

92:56a thousand times before for a thousand years.

92:58So this, I'm not gonna,

93:00I'm not going to claim originality,

93:03but I think trying to find a way

93:06to really pay attention

93:10to what you're feeling fundamentally,

93:13what your sense of the world is,

93:14what your intuition is,

93:15if you feel like an intuitive person,

93:17what your,

93:18like to try to escape the constant sway

93:26of social perception or manipulation,

93:29whatever you wish, not to escape it entirely,

93:31that would be horrible,

93:32but to find cover from it once in a while,

93:37to find a sense of being anchored in that,

93:41to believe in experience as a real thing.

93:44Believing in experience as a real thing is very dualistic.

93:47That goes with my philosophy of dualism.

93:50I believe there's something magical,

93:52and instead of squirting the magic dust on the programs,

93:56I think experience is something real

93:58and something apart and something mystical.

94:00- Your own personal experience that you just have,

94:04and then you're saying,

94:06silence the rest of the world enough to hear that,

94:08like whatever that magic dust is in that experience.

94:11- Find what is there.

94:13And I think that's one thing.

94:18Another thing is to recognize

94:21that kindness requires genius,

94:24that it's actually really hard,

94:27that facile kindness is not kindness,

94:30and that it'll take you a while to have the skills,

94:33to have kind impulses,

94:34to want to be kind, you can have right away.

94:37To be effectively kind is hard.

94:40- To be effectively kind, yeah.

94:41- It takes skill, it takes hard lessons.

94:46You'll never be perfect at it.

94:52To the degree you get anywhere with it,

94:55it's the most rewarding thing ever.

94:58- Yeah.

94:59Let's see, what else would I say?

95:02I would say when you're young,

95:07you can be very overwhelmed

95:10by social and interpersonal emotions.

95:16You'll have broken hearts and jealousies.

95:20You'll feel socially down the ladder

95:24instead of up the ladder.

95:26It feels horrible when that happens.

95:28All of these things.

95:29And you have to remember

95:31what a fragile crest all that stuff is.

95:35And it's hard, 'cause right when it's happening,

95:37it's just so intense.

95:39And if I was actually giving this advice to my daughter,

95:48she'd already be out of the room.

95:50(laughing)

95:51So this is for some hypothetical teenager

95:55that doesn't really exist,

95:56that really wants to sit and listen to my voice.

95:59- Or for your daughter 10 years from now.

96:01- Maybe.

96:03- Can I ask you a difficult question?

96:06- Yeah, sure.

96:07- You talked about losing your mom.

96:10- Yeah.

96:11- Do you miss her?

96:13- Yeah, I mean, I still connect to her through music.

96:17She was a young prodigy piano player in Vienna.

96:24And she survived the concentration camp

96:27and then died in a car accident here in the US.

96:32- What music makes you think of her?

96:35Is there a song that connects you?

96:38- Well, she was in Vienna,

96:40so she had the whole Viennese music thing going,

96:45which is this incredible school

§12Transcript · 1:36:51–1:45:43

96:51of absolute skill and romance bundled together

96:56and wonderful on the piano, especially.

96:58I learned to play some of the Beethoven sonatas for her

97:01and I played them in this exaggerated drippy way,

97:04I remember when I was a kid.

97:06- Exaggerated meaning too full of emotion?

97:09- Yeah, like just like.

97:11- Isn't that the only way to play Beethoven?

97:13I mean, I didn't know there's any other way.

97:15- That's a reasonable question.

97:16I mean, the fashion these days is to be slightly Apollonian

97:20even with Beethoven, but one imagines

97:22that actual Beethoven playing might've been different.

97:26I don't know.

97:26I've gotten to play a few instruments he played

97:30and tried to see if I could feel anything

97:32about how it might've been for him.

97:33I don't know really.

97:35- I was always against the clinical precision

97:37of classical music.

97:39I thought a great piano player should be like in pain,

97:47like emotionally, like truly feel the music

97:52and make it messy sort of.

97:57- Sure.

97:58- Maybe play classical music the way, I don't know,

98:00blues pianist plays blues.

98:03- It seems like they actually got happier

98:07and I'm not sure if Beethoven got happier.

98:10I think it's a different kind of concept

98:13of the place of music.

98:17I think the blues, the whole African-American tradition

98:21was initially surviving awful, awful circumstances.

98:25So you could say, there was some of that

98:27in the concentration camps and all that too.

98:29And it's not that Beethoven's circumstances were brilliant,

98:34but he kind of also, I don't know, this is hard.

98:39Like, I mean, it would seem to be his misery

98:42was somewhat self-imposed maybe through, I don't know.

98:45It's kind of interesting.

98:47I've known some people who loathed Beethoven,

98:49like the late composer Pauline Oliveros,

98:52wonderful modernist composer.

98:54I played in her band for a while and she was like,

98:57"Oh, Beethoven, that's the worst music ever.

98:59"It's like all ego.

99:00"It completely, it turns emotion into your enemy.

99:05"And it's ultimately all about your own self-importance,

99:11"which has to be at the expense of others.

99:14"What else could it be?"

99:16And blah, blah, blah.

99:17So she had, I shouldn't say,

99:19I don't mean to be dismissive,

99:20but I'm just saying like her position on Beethoven

99:22was very negative and very unimpressed,

99:25which is really interesting for me.

99:26- The man or the music?

99:28- I think, I don't know.

99:30I mean, she's not here to speak for herself.

99:31So it's a little hard for me to answer that question.

99:34But it was interesting 'cause I'd always thought

99:36of Beethoven as like, "Whoa, this is like Beethoven

99:38"is like really the dude."

99:40And she's like, "Eh."

99:43Beethoven, Schmadovan, it's like not really happening.

99:45- Yeah, still, even though it's cliche,

99:47I like playing personally just for myself,

99:49Moonlight Sonata.

99:50I mean, I just...

99:51- Moonlight's amazing.

99:54You're talking about comparing the blues

100:00and that sensibility from Europe

100:02is so different in so many ways.

100:05One of the musicians I play with is John Batiste,

100:08who has the band on Colbert Show.

100:09And he'll sit there playing jazz

100:12and suddenly go into Moonlight.

100:13He loves Moonlight.

100:14And what's kind of interesting is

100:16he's found a way to do Beethoven.

100:21And by the way, he can really do Beethoven.

100:23Like he went through Juilliard.

100:25And one time he was at my house.

100:28He's like, "Hey, do you have the book of Beethoven's sonatas?"

100:30I say, "Yeah, I wanna find one I haven't played."

100:31And he sight read through the whole damn thing perfectly.

100:34And I'm like, "Oh God, I just need to get out of here.

100:36"I can't even deal with this."

100:38But anyway.

100:41But anyway, the thing is he has this way

100:44of with the same persona and the same philosophy

100:46moving from the blues into Beethoven.

100:49That's really, really fascinating to me.

100:51It's like, I don't wanna say he plays it

100:55as if it were jazz, but he kind of does.

100:58It's kind of really, and he talks,

101:00while he was sight reading,

101:01he talks like Beethoven's talking to him.

101:03Like he's like, "Oh yeah, here, he's doing this."

101:05I can't do John, but you know.

101:07It's like, it's really interesting.

101:09Like it's very different.

101:10For me, I was introduced to Beethoven

101:12as like almost like this godlike figure,

101:14and I presume Pauline was too,

101:16that was really kind of oppressed and hard to deal with.

101:18And for him, it's just like-

101:20- The conversation he's having.

101:21- He's playing James P. Johnson or something.

101:23It's like another musician who did something

101:25and they're talking.

101:26And it's very cool to be around.

101:27It's very kind of freeing to see someone

101:31have that relationship.

101:34- I would love to hear him play Beethoven.

101:36That sounds amazing.

101:37- He's great.

101:39- We talked about Ernest Becker

101:41and how much value he puts on our mortality

101:46and our denial of our mortality.

101:49Do you think about your mortality?

101:51Do you think about your own death?

101:53- You know, what's funny is I used to not be able to,

101:56but as you get older, you just know people who die

101:58and there's all these things

101:59and it just becomes familiar and more ordinary,

102:04which is what it is.

102:06- But are you afraid?

102:09- Sure.

102:10Although less so.

102:11And it's not like I didn't have some kind of insight

102:18or revelation to become less afraid.

102:20I think I just, like I say, it's kind of familiarity.

102:25It's just knowing people who've died.

102:27And I really believe in the future.

102:32I have this optimism that people

102:35or this whole thing of life on earth,

102:37this whole thing we're part of,

102:38I don't know where to draw that circle,

102:40but this thing is going somewhere

102:44and has some kind of value.

102:48And you can't both believe in the future

102:51and wanna live forever.

102:52You have to make room for it.

102:53You know, like you have to,

102:55that optimism has to also come with its own like humility.

102:58You have to make yourself small to believe in the future.

103:02And so it actually in a funny way comforts me.

103:07- Wow, that's powerful.

103:08And optimism requires you to kind of step down after time.

103:15- Yeah, I mean, that said, life seems kind of short,

103:19but you know, whatever.

103:20- Do you think there's-

103:22- I've tried to find, I can't find the complaint department.

103:24You know, I really want to, I want to bring this up,

103:27but the customer service number never answers

103:29and like the email bounces.

103:30- One way.

103:31- So yeah.

103:32- Do you think there's meaning to it, to life?

103:35- Ah, well, see, meaning's a funny word.

103:38Like we say all these things as if we know what they mean,

103:40but meaning, we don't know what we mean when we say meaning.

103:43Like we obviously do not.

103:44And it's a funny little mystical thing.

103:48I think it ultimately connects to that sense of experience

103:51that dualists tend to believe in.

103:54- I guess there are why, like if you look up to the stars

103:59and you experience that awe inspiring, like joy,

104:02whatever, when you look up to the stars,

104:06I don't know why for me, that's kind of makes me feel

104:10joyful, maybe a little bit melancholy,

104:12just some weird soup of feelings.

104:14And ultimately the question is like,

104:16why are we here in this vast universe?

104:19That question, why?

104:23Have you been able in some way,

104:28maybe through music, answer it for yourself?

104:31(silence)

104:33- My impulse is to feel like it's not quite

104:41the right question to ask,

104:43but I feel like going down that path

104:46is just too tedious for the moment

104:48and I don't want to do it, but. (laughs)

104:51- The wrong question.

104:54- Well, just because, I don't know what meaning is.

104:58And I think, I do know that sense of awe.

105:01I grew up in Southern New Mexico and the stars were so vivid.

105:06I've had some weird misfortunes,

105:12but I've had some weird luck also.

105:15One of our near neighbors was the head of optics research

105:20at White Sands and when he was young,

105:22he discovered Pluto, his name was Clyde Tombaugh.

105:25And he taught me how to make telescopes,

105:27grinding mirrors and stuff.

105:28And my dad had also made telescopes when he was a kid,

105:31but Clyde had backyard telescopes

105:35that would put to shame a lot of, (laughs)

105:37I mean, he really, he did his telescopes, you know?

105:39And so I remember he'd let me go and play with them

105:43and just looking at a globular cluster

§13Transcript · 1:45:46–1:52:23

105:46and you're seeing the actual photons

105:47and with a good telescope, it's really like this object.

105:50Like you can really tell this isn't coming through

105:53some intervening information structure.

105:55This is like the actual photons

105:56and it's really a three-dimensional object.

105:59And you have even a feeling for the vastness of it.

106:02And it's, I don't know, so I definitely,

106:07I was very, very fortunate to have a connection

106:11to the sky that way when I was a kid.

106:15- To have had that experience,

106:17again, the emphasis on experience.

106:22It's kind of funny, I feel like sometimes,

106:26I've taken, when she was younger,

106:28I took my daughter and her friends to a telescope.

106:31There are a few around here that our kids can go and use

106:34and they would look at Jupiter's moons or something.

106:37I think Galilean moons.

106:39And I don't know if they quite had that

106:42'cause it's been just too normalized.

106:47And I think maybe when I was growing up,

106:50screens weren't that common yet.

106:52And maybe it's too confusable with the screen.

106:55I don't know.

106:56- Somebody brought up in conversation to me,

107:00I said somewhere, I don't remember who,

107:02but they kind of posited this idea

107:04that if humans, early humans weren't able to see the stars,

107:08like if Earth's atmosphere was such that it was cloudy,

107:12that we would not develop human civilization.

107:14There's something about being able to look up

107:17and see a vast universe is like,

107:20that's fundamental to the development of human civilization.

107:23I thought that was a curious kind of thought.

107:26- That reminds me of that old Isaac Asimov story

107:30where there's this planet where they finally get to see

107:33what's in the sky once in a while.

107:35And it turns out they're in the middle of a globular cluster

107:36and there are all these stars.

107:38I forget what happens exactly.

107:39God, that's from when I was the same age as a kid.

107:42I don't really remember.

107:43But yeah, I don't know.

107:47It might be right.

107:48I'm just thinking of all the civilizations

107:50that grew up under clouds.

107:51I mean, like the Vikings needed a special

107:56diffracting piece of mica to navigate

107:58'cause they could never see the sun.

108:00They had this thing called a sunstone

108:01that they found from this one cave.

108:02Do you know about that?

108:04So they were in this,

108:05they were trying to navigate boats in the North Atlantic

108:10without being able to see the sun 'cause it was cloudy.

108:12And so they used a chunk of mica to diffract it

108:19in order to be able to align where the sun really was

108:22'cause they couldn't tell by eye and navigate.

108:24So I'm just saying there are a lot of civilizations

108:26that are pretty impressive

108:27that had to deal with a lot of clouds.

108:30The Amazonians invented our agriculture

108:34and they were probably under clouds a lot.

108:36I don't know.

108:37- To me personally, the question of the meaning of life

108:41becomes most vibrant, most apparent

108:46when you look up at the stars

108:47because it makes me feel very small.

108:50- We are small.

108:53- But then you ask, it still feels that we're special.

108:59And then the natural question is like,

109:01well, if we are as special as I think we are,

109:05why the heck are we here in this vast universe?

109:08That ultimately is the question of the meaning of life.

109:14- I mean, look, there's a confusion sometimes

109:18in trying to set up a question or a thought experiment

109:23or something that's defined in terms of a context

109:29to explain something where there is no larger context.

109:32And that's a category error.

109:34If we wanna do it in physics or in computer science,

109:40it's hard to talk about the universe as a Turing machine

109:44because a Turing machine has an external clock

109:46and an observer and input and output.

109:48There's a larger context implied

109:50in order for it to be defined at all.

109:52And so if you're talking about the universe,

109:54you can't talk about it coherently as a Turing machine.

109:57Quantum mechanics is like that.

109:58Quantum mechanics has an external clock

110:00and has some kind of external context

110:02depending on your interpretation

110:04that's either the observer or whatever.

110:08And they're similar that way.

110:11So maybe Turing machines and quantum mechanics

110:14can be better friends or something

110:17because they have a similar setup.

110:18But the thing is, if you have something that's defined

110:21in terms of an outer context,

110:23you can't talk about ultimates with it

110:26because obviously it's not suited for that.

110:29So there's some ideas that are their own context.

110:32General relativity is its own context.

110:34It's different.

110:35That's why it's hard to unify.

110:36And I think the same thing is true

110:40when we talk about these types of questions.

110:43Like meaning is in a context

110:48and to talk about ultimate meaning is therefore a category.

110:52Or it's not a resolvable way of thinking.

110:57It might be a way of thinking that is experientially

111:06or aesthetically valuable because it is awesome

111:11in the sense of awe-inspiring.

111:14But to try to treat it analytically is not sensible.

111:20- Maybe that's what music and poetry are for.

111:22- Yeah, maybe.

111:23I think so.

111:24I think music actually does escape any particular context.

111:27That's how it feels to me, but I'm not sure about that.

111:29That's once again, crazy artist talking, not scientist.

111:33- Well, you do both masterfully, Jaron.

111:37And like I said, I'm a big fan of everything you've done,

111:40of you as a human being.

111:42I appreciate the fun argument we had today

111:46that will, I'm sure, continue for 30 years

111:48as it did with Mark Rominski.

111:50Honestly, I deeply appreciate

111:53that you spent your really valuable time with me today.

111:55It was a really great conversation.

111:56Thank you so much.

111:58Thanks for listening to this conversation

112:00with Jaron Lanier.

112:01To support this podcast, please check out our sponsors

112:04in the description.

112:06And now, let me leave you with some words

112:08from Jaron Lanier himself.

112:10A real friendship ought to introduce each person

112:13to unexpected weirdness in the other.

112:16Thank you for listening, and hope to see you next time.

112:20(upbeat music)

112:23(upbeat music)

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