David Eagleman: Neuroplasticity and the Livewired Brain
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§01Transcript · 00:00–09:28§02Transcript · 09:28–17:49§03Transcript · 17:49–25:53§04Transcript · 25:53–34:31§05Transcript · 34:31–43:40§06Transcript · 43:40–52:20§07Transcript · 52:20–1:00:51§08Transcript · 1:00:51–1:09:00§09Transcript · 1:09:00–1:16:46§10Transcript · 1:16:46–1:24:33§11Transcript · 1:24:33–1:31:56§12Transcript · 1:31:56–1:39:52§13Transcript · 1:39:53–1:41:23§01Transcript · 00:00–09:28
The following is a conversation with David Eagleman,
a neuroscientist and one of the great science communicators
of our time, exploring the beauty and mystery
of the human brain.
He's an author of a lot of amazing books
about the human mind, and his new one called Livewired.
Livewired is a work of 10 years on a topic
that is fascinating to me, which is neuroplasticity
or the malleability of the human brain.
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As a side note, let me say that the adaptability
of the human mind at the biological, chemical,
cognitive, psychological, and even sociological levels
is the very thing that captivated me many years ago
when I first began to wonder how would my engineer
something like it in the machine.
The open question today in the 21st century
is what are the limits of this adaptability?
As new, smarter and smarter devices and AI systems
come to life, or as better and better brain computer
interfaces are engineered, will our brain be able to adapt,
to catch up, to excel?
I personally believe yes, that we're far from reaching
the limitation of the human mind and the human brain,
just as we are far from reaching the limitations
of our computational systems.
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And now here's my conversation with David Eagleman.
You have a new book coming out on the changing brain.
Can you give a high level overview of the book?
It's called Livewired by the way.
Yeah, the thing is we typically think about the brain
in terms of the metaphors we already have,
like hardware and software, that's how we build
all our stuff, but what's happening in the brain
is fundamentally so different.
So I coined this new term liveware,
which is a system that's constantly reconfiguring itself
physically as it learns and adapts to the world around it.
It's physically changing.
So it's liveware meaning like hardware but changing.
Yeah, exactly.
Well, the hardware and the software layers are blended
and so typically engineers are praised for their efficiency
and making something really clean and clear,
like, okay, here's the hardware layer,
then I'm gonna run software on top of it.
And there's all sorts of universality that you get out
of a piece of hardware like that that's useful.
But what the brain is doing is completely different.
And I am so excited about where this is all going
because I feel like this is where our engineering will go.
So currently we build all our devices a particular way,
but I can't tear half the circuitry out of your cell phone
and expect it to still function.
But you can do that with the brain.
So just as an example, kids who are under
about seven years old can get one half of their brain
removed, it's called a hemispherectomy, and they're fine.
They have a slight limp on the other side of their body,
but they can function just fine that way.
And this is generally true.
You know, sometimes children are born without a hemisphere
and their visual system rewires so that everything is
on the single remaining hemisphere.
What thousands of cases like this teach us
is that it's a very malleable system that is simply trying
to accomplish the tasks in front of it by rewiring itself
with the available real estate.
How much of that is a quirk or a feature of evolution?
Like, how hard is it to engineer?
Because evolution took a lot of work.
Trillions of organisms had to die for it to create
this thing we have in our skull.
Like, because you said you kind of look forward to the idea
that we might be engineering our systems like this
in the future, like creating liveware systems.
How hard do you think is it to create systems like that?
Great question.
It has proven itself to be a difficult challenge.
What I mean by that is even though it's taken evolution
a really long time to get where it is now,
all we have to do now is peek at the blueprints.
It's just three pounds, this organ,
and we just figure out how to do it.
But that's the part that I mean is a difficult challenge
because there are tens of thousands of neuroscientists,
we're all poking and prodding and trying to figure this out,
but it's an extremely complicated system.
But it's only gonna be complicated until we figure out
the general principles.
Exactly like if you had a magic camera
you could look inside the nucleus of a cell
and you'd see hundreds of thousands of things
moving around or whatever,
and then it takes Crick and Watson to say,
oh, you know what, you're just trying to maintain
the order of the base pairs and all the rest is details.
Then it simplifies it and we come to understand something.
That was my goal in LiveWire,
which I've written over 10 years, by the way,
is to try to distill things down to the principles
of what plastic systems are trying to accomplish.
But to even just linger, you said,
it's possible to be born with just one hemisphere
and you still are able to function.
First of all, just to pause on that,
I mean, that's kind of, that's amazing.
I don't know if people quite,
I mean, you kind of hear things here and there.
This is why I'm kind of, I'm really excited about your book
is I don't know if there's definitive sort of popular sources
to think about this stuff.
I mean, there's a lot of, I think from my perspective,
what I heard is there's like been debates over decades
about how much neuroplasticity there is in the brain
and so on, and people have learned a lot of things
and now it's converging towards people
that are understanding there's much more plastic
than people realize.
But just like linger on that topic,
like how malleable is the hardware of the human brain?
§02Transcript · 09:28–17:49
Maybe you said children at each stage of life.
Yeah, so here's the whole thing.
I think part of the confusion about plasticity
has been that there are studies
at all sorts of different ages,
and then people might read that from a distance
and they think, oh, well, Fred didn't recover
when half his brain was taken out
and so clearly you're not plastic,
but then you do it with a child and they are plastic.
And so part of my goal here was to pull together
the tens of thousands of papers on this,
both from clinical work and from all the way down
to the molecular and understand
what are the principles here?
The principles are that plasticity diminishes,
that's no surprise.
By the way, maybe I should just define plasticity.
It's the ability of a system to mold into a new shape
and then hold that shape.
That's why we make things that we call plastic
because they are moldable and they can hold that new shape,
like a plastic toy or something.
And so maybe we'll use a lot of terms that are synonymous.
So something is plastic, something is malleable,
changing, live wire, the name of the book is like synonyms.
So I'll tell you, exactly right,
but I'll tell you why I chose live wire
instead of plasticity.
So I use the term plasticity in the book, but sparingly,
because that was a term coined by William James
over a hundred years ago and he was, of course,
very impressed with plastic manufacturing
that you could mold something into shape
and then it holds that.
But that's not what's actually happening in the brain.
It's constantly rewiring your entire life.
You never hit an end point.
The whole point is for it to keep changing.
So even in the few minutes of conversation
that we've been having, your brain is changing,
my brain is changing.
Next time I see your face, I will remember,
oh yeah, like that time Lex and I sat together
and we did these things.
I wonder if your brain will have like a Lex thing
going on for the next few months.
Like it'll stay there until you get rid of it
because it was useful for now.
Yeah, no, I'll probably never get rid of it.
Let's say for some circumstance,
you and I don't see each other for the next 35 years.
When I run into you, I'll be like, oh yeah.
That looks familiar.
Yeah, yeah, we sat down for a podcast
back when there were podcasts.
Exactly.
Back when we lived outside virtual reality.
Exactly.
So you chose live wire to mold a plastic.
Exactly, because plastic implies,
I mean, it's the term that's used in the field
and so that's why we need to use it still for a while.
But yeah, it implies something gets molded into shape
and then holds that shape forever.
But in fact, the whole system is completely changing.
Then back to how malleable is the human brain
at each stage of life.
So what, just at a high level, is it malleable?
So yes, and plasticity diminishes.
But one of the things that I felt like
I was able to put together for myself
after reading thousands of papers on this issue
is that different parts of the brain
have different plasticity windows.
So for example, with the visual cortex,
that cements itself into place pretty quickly
over the course of a few years.
And I argue that's because of the stability of the data.
In other words, what you're getting in from the world,
you've got a certain number of angles, colors, shapes.
It's essentially the world is visually stable.
So that hardens around that data.
As opposed to, let's say, the somatosensory cortex,
which is the part that's taking information
from your body, or the motor cortex right next to it,
which is what drives your body.
The fact is, bodies are always changing.
You get taller over time, you get fatter, thinner,
over time, you might break a leg
and have to limp for a while, stuff like that.
So because the data there is always changing,
by the way, you might get on a bicycle,
you might get on a surfboard, things like that.
Because the data is always changing,
that stays more malleable.
And when you look through the brain,
you find that it appears to be this,
how stable the data is determines how fast
something hardens into place.
But the point is, different parts of the brain
harden into place at different times.
Do you think it's possible that,
depending on how much data you get on different sensors,
that it stays more malleable longer?
So like, if you look at different cultures
that experience, like if you keep your eyes closed,
or maybe you're blind, I don't know,
but let's say you keep your eyes closed
for your entire life, then the visual cortex
might be much less malleable.
The reason I bring that up is like,
well maybe we'll talk about brain computer interfaces
a little bit down the line, but is this,
is the malleability a genetic thing,
or is it more about the data, like you said, that comes in?
Ah, so the malleability itself is a genetic thing.
The big trick that Mother Nature discovered with humans
is make a system that's really flexible,
as opposed to most other creatures to different degrees.
So if you take an alligator, it's born,
its brain does the same thing every generation.
If you compare an alligator 100,000 years ago
to an alligator now, they're essentially the same.
We, on the other hand, as humans,
drop into a world with a half baked brain,
and what we require is to absorb the culture around us,
and the language, and the beliefs, and the customs,
and so on, that's what Mother Nature has done with us,
and it's been a tremendously successful trick
we've taken over the whole planet as a result of this.
So that's an interesting point,
I mean, just to link on it, that,
I mean, this is a nice feature,
like if you were to design a thing
to survive in this world, do you put it at age zero
already equipped to deal with the world
in a hard coded way, or do you put it,
do you make it malleable and just throw it in,
take the risk that you're maybe going to die,
but you're going to learn a lot in the process,
and if you don't die, you'll learn a hell of a lot
to be able to survive in the environment.
So this is the experiment that Mother Nature ran,
and it turns out that, for better or worse, we've won.
I mean, yeah, we put other animals in the zoos,
and we, yeah, that's right.
AI might do better.
Okay, fair enough, that's true.
And maybe what the trick Mother Nature did
is just the stepping stone to AI, but.
So that's a beautiful feature of the human brain,
that it's malleable, but let's,
on the topic of Mother Nature, what do we start with?
Like, how blank is the slate?
Ah, so it's not actually a blank slate.
What it's, it's terrific engineering that's set up in there,
but much of that engineering has to do with,
okay, just make sure that things get to the right place.
For example, like the fibers from the eyes
getting to the visual cortex,
or all this very complicated machinery in the ear
getting to the auditory cortex, and so on.
So things, first of all, there's that.
And then what we also come equipped with
is the ability to absorb language
and culture and beliefs, and so on.
So you're already set up for that.
So no matter what you're exposed to,
you will absorb some sort of language.
That's the trick, is how do you engineer something
just enough that it's then a sponge
that's ready to take in and fill in the blanks?
How much of the malleability is hardware?
How much is software?
Is that useful at all in the brain?
So what are we talking about?
So there's neurons, there's synapses,
and all kinds of different synapses,
and there's chemical communication,
like electrical signals,
and there's chemical communication from the synapses.
I would say the software would be the timing
and the nature of the electrical signals, I guess,
and the hardware would be the actual synapses.
So here's the thing, this is why I really, if we can,
I wanna get away from the hardware and software metaphor
because what happens is,
as activity passes through the system, it changes things.
Now, the thing that computer engineers
are really used to thinking about is synapses,
where two neurons connect.
Of course, each neuron connects with 10,000 of its neighbors,
but at a point where they connect,
what we're all used to thinking about
is the changing of the strength of that connection,
the synaptic weight.
But in fact, everything is changing.
The receptor distribution inside that neuron
so that you're more or less sensitive
§03Transcript · 17:49–25:53
to the neurotransmitter,
then the structure of the neuron itself
and what's happening there,
all the way down to biochemical cascades inside the cell,
all the way down to the nucleus,
and for example, the epigenome,
which is these little proteins that are attached to the DNA
that cause conformational changes,
that cause more genes to be expressed or repressed.
All of these things are plastic.
The reason that most people only talk
about the synaptic weights
is because that's really all we can measure well.
And all this other stuff is really, really hard to see
with our current technology.
So essentially, that just gets ignored.
But in fact, the system is plastic
at all these different levels.
And my way of thinking about this
is an analogy to pace layers.
So pace layers is a concept that Stewart Brand
suggested about how to think about cities.
So you have fashion, which changes rapidly in cities.
You have governance, which changes more slowly.
You have the structure, the buildings of a city,
which changes more slowly, all the way down to nature.
You've got all these different layers of things
that are changing at different paces, at different speeds.
I've taken that idea and mapped it onto the brain,
which is to say you have some biochemical cascades
that are just changing really rapidly
when something happens, all the way down to things
that are more and more cemented in there.
And this actually allows us to understand a lot
about particular kinds of things that happen.
For example, one of the oldest,
probably the oldest rule in neurology
is called Ribot's Law, which is that older memories
are more stable than newer memories.
So when you get old and demented,
you'll be able to remember things from your young life.
Maybe you'll remember this podcast,
but you won't remember what you did
a month ago or a year ago.
And this is a very weird structure, right?
No other system works this way,
where older memories are more stable than newer memories.
But it's because through time,
things get more and more cemented
into deeper layers of the system.
And so this is, I think, the way we have to think
about the brain, not as, okay, you've got neurons,
you've got synaptic weights, and that's it.
So, yeah, so the idea of LiveWare and LiveWired
is that it's like a, it's a gradual, yeah,
it's a gradual spectrum between software and hardware.
And so the metaphors completely doesn't make sense.
Cause like when you talk about software and hardware,
it's really hard lines.
I mean, of course, software is unlike hard,
but even hardware, but like, so there's two groups,
but in the software world,
there's levels of abstractions, right?
There's the operating system, there's machine code,
and then it gets higher and higher levels.
But somehow that's actually fundamentally different
than the layers of abstractions in the hardware.
But in the brain, it's all like the same.
And I love the city, the city metaphor.
I mean, yeah, it's kind of mind blowing
cause it's hard to know what to think about that.
Like if I were to ask the question,
this is an important question for machine learning is,
how does the brain learn?
So essentially you're saying that,
I mean, it just learns on all of these different levels
at all different paces.
Exactly right.
And as a result, what happens is
as you practice something, you get good at something,
you're physically changing the circuitry,
you're adapting your brain around the thing
that is relevant to you.
So let's say you take up, do you know how to surf?
Nope.
Okay, great.
So let's say you take up surfing now at this age.
What happens is you'll be terrible at first,
you don't know how to operate your body,
you don't know how to read the waves, things like that.
And through time you get better and better.
What you're doing is you're burning that
into the actual circuitry of your brain.
You're of course conscious when you're first doing it,
you're thinking about, okay, where am I doing?
What's my body weight?
But eventually when you become a pro at it,
you are not conscious of it at all.
In fact, you can't even unpack what it is that you did.
Think about riding a bicycle.
You can't describe how you're doing it,
you're just doing it, you're changing your balance
when you come, you know, you do this to go to a stop.
So this is what we're constantly doing
is actually shaping our own circuitry
based on what is relevant for us.
Survival, of course, being the top thing that's relevant.
But interestingly, especially with humans,
we have these particular goals in our lives,
computer science, neuroscience, whatever.
And so we actually shape our circuitry around that.
I mean, you mentioned this gets slower and slower with age,
but is there, like I think I've read and spoken offline,
even on this podcast with a developmental neurobiologist,
I guess would be the right terminology,
is like looking at the very early,
like from embryonic stem cells to the creation of the brain.
And like, that's mind blowing how much stuff happens there.
So it's very malleable at that stage.
And then, but after that,
at which point does it stop being malleable?
So that's the interesting thing
is that it remains malleable your whole life.
So even when you're an old person,
you'll be able to remember new faces and names,
you'll be able to learn new sorts of tasks.
And thank goodness,
cause the world is changing rapidly
in terms of technology and so on.
I just sent my mother an Alexa
and she figured out how to go on the settings
and do the thing.
And I was really impressed that she was able to do it.
So there are parts of the brain
that remain malleable their whole life.
The interesting part is that really your goal
is to make an internal model of the world.
Your goal is to say, okay,
the brain is trapped in silence and darkness,
and it's trying to understand
how the world works out there, right?
I love that image.
Yeah, I guess it is.
Yeah.
You forget, it's like this lonely thing
is sitting in its own container
and trying to actually throw a few sensors,
figure out what the hell's going on.
You know what I sometimes think about
is that movie, The Martian with Matt Damon,
the, I mean, it was written in a book, of course,
but the movie poster shows Matt Damon
all alone on the red planet.
And I think, God, that's actually what it's like
to be inside your head and my head and anybody's head
is that you're essentially on your own planet in there.
And I'm essentially on my own planet.
And everyone's got their own world
where you've absorbed all of your experiences
up to this moment in your life
that have made you exactly who you are
and same for me and everyone.
And we've got this very thin bandwidth of communication.
And I'll say something like,
oh yeah, that tastes just like peaches.
And you'll say, oh, I know what you mean.
But the experience, of course,
might be vastly different for us.
But anyway, yes.
So the brain is trapped in silence and darkness,
each one of us, and what it's trying to do,
this is the important part,
it's trying to make an internal model
of what's going on out there,
as in how do I function in the world?
How do I interact with other people?
Do I say something nice and polite?
Do I say something aggressive and mean?
Do I, you know, all these things
that it's putting together about the world.
And I think what happens when people get older and older,
it may not be that plasticity is diminishing.
It may be that their internal model essentially
has set itself up in a way where it says,
okay, I've pretty much got
a really good understanding of the world now,
and I don't really need to change, right?
So when much older people find themselves
in a situation where they need to change,
they can actually are able to do it.
It's just that I think this notion
that we all have that plasticity diminishes
as we grow older is in part
because the motivation isn't there.
But if you were 80 and you get fired from your job
and suddenly had to figure out
how to program a WordPress site or something,
you'd figure it out.
Got it.
So the capability, the possibility of change is there.
§04Transcript · 25:53–34:31
But then that's the highest challenge,
the interesting challenge to this plasticity,
to this liveware system.
If we could talk about brain computer interfaces
and Neuralink, what are your thoughts
about the efforts of Elon Musk, Neuralink, BCI in general
in this regard, which is adding a machine,
a computer, the capability of a computer
to communicate with the brain
and the brain to communicate with a computer
at the very basic applications
and then like the futuristic kind of thoughts.
Yeah, first of all, it's terrific
that people are jumping in and doing that
because it's clearly the future.
The interesting part is our brains have pretty good methods
of interacting with technology.
So maybe it's your fat thumbs on a cell phone or something,
but, or maybe it's watching a YouTube video
and getting into your eye that way.
But we have pretty rapid ways of communicating
with technology and getting data.
So if you actually crack open the skull
and go into the inner sanctum of the brain,
you might be able to get a little bit faster,
but I'll tell you, I'm not so sanguine
on the future of that as a business.
And I'll tell you why.
It's because there are various ways
of getting data in and out
and an open head surgery is a big deal.
Neurosurgeons don't wanna do it
because there's always risk of death
and infection on the table.
And also it's not clear how many people would say,
I'm gonna volunteer to get something in my head
so that I can text faster, 20% faster.
So I think it's, mother nature surrounds the brain
with this armored bunker of the skull
because it's a very delicate material.
And there's an expression in neurosurgery
about the brain is,
the person is never the same after you open up their skull.
Now, whether or not that's true or whatever, who cares?
But it's a big deal to do an open head surgery.
So what I'm interested in is how can we get information
in and out of the brain
without having to crack the skull open?
Without messing with the biological part,
directly connecting or messing
with the intricate biological thing that we got going on
and it seems to be working.
Yeah, exactly.
And by the way, where Neuralink is going,
which is wonderful, is going to be in patient cases.
It really matters for all kinds of surgeries
that a person needs,
whether for Parkinson's or epilepsy or whatever.
It's a terrific new technology
for essentially sewing electrodes in there
and getting more higher density of electrodes.
So that's great.
I just don't think as far as the future of BCI goes,
I don't suspect that people will go in and say,
yeah, drill a hole in my head and do this.
Well, it's interesting
because I think there's a similar intuition
but say in the world of autonomous vehicles
that folks know how hard it is
and it seems damn impossible.
The similar intuition about,
I'm sticking on the Elon Musk thing
is just a good, easy example.
Similar intuition about colonizing Mars,
it like, if you really think about it,
it seems extremely difficult.
And almost, I mean, just technically difficult
to a degree where you wanna ask,
is it really worth doing, worth trying?
And then the same is applied with BCI.
But the thing about the future
is it's hard to predict.
So the exciting thing to me with,
so once it does, once if successful,
it's able to help patients,
it may be able to discover something very surprising
of our ability to directly communicate with the brain.
So exactly what you're interested in is figuring out
how to play with this malleable brain,
but like help assist it somehow.
I mean, it's such a compelling notion to me
that we're now working on
all these exciting machine learning systems
that are able to learn from data.
And then if we can have this other brain
that's a learning system,
that's live wired on the human side
and them to be able to communicate,
it's like a self play mechanism
was able to beat the world champion at Go.
So they can play with each other,
the computer and the brain, like when you sleep.
I mean, there's a lot of futuristic kind of things
that it's just exciting possibilities,
but I hear you, we understand so little
about the actual intricacies of the communication
of the brain that it's hard to find the common language.
Well, interestingly, the technologies that have been built
don't actually require the perfect common language.
So for example, hundreds of thousands of people
are walking around with artificial ears
and artificial eyes,
meaning cochlear implants or retinal implants.
So this is, you take a essentially digital microphone,
you slip an electrode strip into the inner ear
and people can learn how to hear that way,
or you take an electrode grid
and you plug it into the retina at the back of the eye
and people can learn how to see that way.
The interesting part is those devices
don't speak exactly the natural biological language,
they speak the dialect of Silicon Valley.
And it turns out that as recently as about 25 years ago,
a lot of people thought this was never gonna work.
They thought it wasn't gonna work for that reason,
but the brain figures it out.
It's really good at saying, okay, look,
there's some correlation between what I can touch
and feel and hear and so on,
and the data that's coming in,
or between I clap my hands and I have signals coming in there
and it figures out how to speak any language.
Oh, that's fascinating.
So like no matter if it's Neuralink,
so directly communicating with the brain,
or it's a smartphone or Google Glass,
or the brain figures out the efficient way of communication.
Well, exactly, exactly.
And what I propose is the potato head theory of evolution,
which is that all our eyes and nose and mouth and ears
and fingertips, all this stuff is just plug and play.
And the brain can figure out
what to do with the data that comes in.
And part of the reason that I think this is right,
and I care so deeply about this,
is when you look across the animal kingdom,
you find all kinds of weird peripheral devices plugged in,
and the brain figures out what to do with the data.
And I don't believe that Mother Nature
has to reinvent the principles of brain operation each time
to say, oh, now I'm gonna have heat pits
to detect infrared.
Now I'm gonna have something
to detect electroreceptors on the body.
Now I'm gonna detect something
to pick up the magnetic field of the earth
with cryptochromes in the eye.
And so instead the brain says, oh, I got it.
There's data coming in.
Is that useful?
Can I do something with it?
Oh, great, I'm gonna mold myself
around the data that's coming in.
It's kind of fascinating to think that,
we think of smartphones
and all this new technology as novel.
It's totally novel as outside of what evolution
ever intended or like what nature ever intended.
It's fascinating to think that like the entirety
of the process of evolution is perfectly fine
and ready for the smartphone and the internet.
Like it's ready.
It's ready to be valuable to that.
And whatever comes to cyborgs, to virtual reality,
we kind of think like, this is, you know,
there's all these like books written about what's natural
and we're like destroying our natural cells
by like embracing all this technology.
It's kind of, you know,
probably not giving the brain enough credit.
Like this thing is just fine with new tech.
Oh, exactly, it wraps itself around.
And by the way, wait till you have kids.
You'll see the ease with which they pick up on stuff.
And as Kevin Kelly said,
technology is what gets invented after you're born.
But the stuff that already exists when you're born,
that's not even tech, that's just background furniture.
Like the fact that the iPad exists for my son and daughter,
like that's just background furniture.
So, yeah, it's because we have
this incredibly malleable system,
that just absorbs whatever is going on in the world
and learns what to do with it.
So do you think, just to linger for a little bit more,
do you think it's possible to co adjust?
Like we're kind of, you know,
for the machine to adjust to the brain,
for the brain to adjust to the machine.
I guess that's what's already happening.
§05Transcript · 34:31–43:40
Sure, that is what's happening.
So for example, when you put electrodes
in the motor cortex to control a robotic arm
for somebody who's paralyzed,
the engineers do a lot of work to figure out,
okay, what can we do with the algorithm here
so that we can detect what's going on from these cells
and figure out how to best program the robotic arm to move
given the data that we're measuring from these cells.
But also the brain is learning too.
So, you know, the paralyzed woman says,
wait, I'm trying to grab this thing.
And by the way, it's all about relevance.
So if there's a piece of food there and she's hungry,
she'll figure out how to get this food into her mouth
with the robotic arm because that is what matters.
Well, that's, okay, first of all,
that paints a really promising and beautiful,
for some reason, really optimistic picture
that, you know, our brain is able to adjust to so much.
You know, so many things happened this year, 2020,
that you think like, how are we ever going to deal with it?
And it's somehow encouraging
and inspiring that like we're going to be okay.
Well, that's right.
I actually think, so 2020 has been an awful year
for almost everybody in many ways,
but the one silver lining has to do with brain plasticity,
which is to say we've all been on our, you know,
on our gerbil wheels, we've all been in our routines.
And, you know, as I mentioned,
our internal models are all about
how do you maximally succeed?
How do you optimize your operation
in this circumstance where you are, right?
And then all of a sudden, bang, 2020 comes,
we're completely off our wheels.
We're having to create new things all the time
and figure out how to do it.
And that is terrific for brain plasticity because,
and we know this because there are very large studies
on older people who stay cognitively active
their whole lives.
Some fraction of them have Alzheimer's disease
physically, but nobody knows that when they're alive.
Even though their brain is getting chewed up
with the ravages of Alzheimer's,
cognitively they're doing just fine.
Why?
It's because they're challenged all the time.
They've got all these new things going on,
all this novelty, all these responsibilities,
chores, social life, all these things happening.
And as a result, they're constantly building new roadways,
even as parts degrade.
And that's the only good news is that
we are in a situation where suddenly
we can't just operate like automata anymore.
We have to think of completely new ways to do things.
And that's wonderful.
I don't know why this question popped into my head.
It's quite absurd, but are we gonna be okay?
Yeah.
You said this is the promising silver lining
just from your own,
cause you've written about this and thought about this
outside of maybe even the plasticity of the brain,
but just this whole pandemic kind of changed the way
it knocked us out of this hamster wheel like that of habit.
A lot of people had to reinvent themselves.
Unfortunately, and I have a lot of friends
who either already or are going to lose their business,
is basically it's taking the dreams that people have had
and said this dream, this particular dream you've had
will no longer be possible.
So you have to find something new.
What are your, are we gonna be okay?
Yeah, we'll be okay in the sense that,
I mean, it's gonna be a rough time
for many or most people,
but in the sense that it is sometimes useful
to find that what you thought was your dream
was not the thing that you're going to do.
This is obviously the plot in lots of Hollywood movies
that someone says, I'm gonna do this,
and then that gets foiled
and they end up doing something better.
But this is true in life.
I mean, in general, even though we plan our lives
as best we can, it's predicated on our notion of,
okay, given everything that's around me,
this is what's possible for me next.
But it takes 2020 to knock you off that
where you think, oh, well, actually,
maybe there's something I can be doing
that's bigger, that's better.
Yeah, you know, for me, one exciting thing,
and I just talked to Grant Sanderson.
I don't know if you know who he is.
He's a 3Blue1Brown, it's a YouTube channel.
He does, he's a, if you see it, you would recognize it.
He's like a really famous math guy,
and he's a math educator,
and he does these incredible, beautiful videos.
And now I see sort of at MIT,
folks are struggling to try to figure out,
you know, if we do teach remotely,
how do we do it effectively?
So you have these world class researchers
and professors trying to figure out
how to put content online that teaches people.
And to me, a possible future of that is,
you know, Nobel Prize winning faculty become YouTubers.
Like that to me is so exciting, like what Grant said,
which is like the possibility of creating canonical videos
on the thing you're a world expert in.
You know, there's so many topics.
It just, the world doesn't, you know, there's faculty.
I mentioned Russ Tedrick.
There's all these people in robotics
that are experts in a particular beautiful field
on which there's only just papers.
There's no popular book.
There's no clean canonical video
showing the beauty of a subject.
And one possibility is they try to create that
and share it with the world.
This is the beautiful thing.
This of course has been happening for a while already.
I mean, for example, when I go and I give book talks,
often what'll happen is some 13 year old
will come up to me afterwards and say something,
and I'll say, my God, that was so smart.
Like, how did you know that?
And they'll say, oh, I saw it on a Ted talk.
Well, what an amazing opportunity.
Here you got the best person in the world on subject X
giving a 15 minute talk as beautifully as he or she can.
And the 13 year old just grows up with that.
That's just the mother's milk, right?
As opposed to when we grew up,
you know, I had whatever homeroom teacher I had
and, you know, whatever classmates I had.
And hopefully that person knew what he or she was teaching
and often didn't and, you know, just made things up.
So the opportunity that has become extraordinary
to get the best of the world.
And the reason this matters, of course,
is because obviously, back to plasticity,
the way that we, the way our brain gets molded
is by absorbing everything from the world,
all of the knowledge and the data and so on that it can get,
and then springboarding off of that.
And we're in a very lucky time now
because we grew up with a lot of just in case learning.
So, you know, just in case you ever need to know
these dates in Mongolian history, here they are.
But what kids are grown up with now, like my kids,
is tons of just in time learning.
So as soon as they're curious about something,
they ask Alexa, they ask Google Home,
they get the answer right there
in the context of their curiosity.
The reason this matters is because for plasticity to happen,
you need to care, you need to be curious about something.
And this is something, by the way,
that the ancient Romans had noted.
They had outlined seven different levels of learning
and the highest level is when you're curious about a topic.
But anyway, so kids now are getting tons
of just in time learning, and as a result,
they're gonna be so much smarter than we are.
They're just, and we can already see that.
I mean, my boy is eight years old, my girl is five.
But I mean, the things that he knows are amazing
because it's not just him having to do
the rote memorization stuff that we did.
Yeah, it's just fascinating what the brain,
what young brains look like now
because of all those TED Talks just loaded in there.
And there's also, I mean, a lot of people, right,
kind of, there's a sense that our attention span
is growing shorter, but it's complicated
because for example, most people, majority of people,
it's the 80 plus percent of people listen
to the entirety of these things,
two, three hours for the podcast,
long form podcasts are becoming more and more popular.
So like that's, it's all really giant complicated mess.
And the point is that the brain is able to adjust to it
and somehow like form a worldview
within this new medium of like information that we have.
You have like these short tweets
and you have these three, four hour podcasts
and you have Netflix movie.
I mean, it's just, it's adjusting to the entirety
and just absorbing it and taking it all in
and then pops up COVID that forces us all to be home
and it all just adjusts and figures it out.
Yeah, yeah, exactly.
§06Transcript · 43:40–52:20
It's fascinating.
Been talking about the brain
as if it's something separate from the human
that carries it a little bit.
Like whenever you talk about the brain,
it's easy to forget that that's like, that's us.
Like how much do you,
how much is the whole thing like predetermined?
Like how much is it already encoded in there?
And how much is it the, what's the hit?
The actions, the decisions, the judgments, the...
You mean like who you are?
Who you are.
Oh, yeah, yeah, okay, great question.
Right, so there used to be a big debate
about nature versus nurture.
And we now know that it's always both.
You can't even separate them
because you come to the table with a certain amount of nature
for example, your whole genome and so on.
The experiences you have in the womb,
like whether your mother is smoking or drinking,
things like that, whether she's stressed, so on.
Those all influence how you're gonna pop out of the womb.
From there, everything is an interaction
between all of your experiences and the nature.
What I mean is, I think of it like a space time cone
where you have, you drop into the world
and depending on the experience that you have,
you might go off in this direction
or that direction or in that direction
because there's interaction on the way.
Your experiences determine what happens
with the expression of your genes.
So some genes get repressed, some get expressed and so on.
And you actually become a different person
based on your experiences.
There's a whole field called epigenomics,
which is, or epigenetics I should say,
which is about the epigenome.
And that is the layer that sits on top of the DNA
and causes the genes to express differently.
That is directly related to the experiences that you have.
So if, just as an example, they take rat pups
and one group is placed away from their parents
and the other group is groomed and licked
and taken good care of,
that changes their gene expression
for the rest of their life.
They go off in different directions
in this space time cone.
So yeah, this is of course why it matters
that we take care of children and pour money
into things like education and good childcare
and so on for children broadly,
because these formative years matter so much.
So is there a free will?
This is a great question.
I apologize for the absurd high level
philosophical questions.
No, no, these are my favorite kind of questions.
Here's the thing, here's the thing.
We don't know.
If you ask most neuroscientists,
they'll say that we can't really think
of how you would get free will in there
because as far as we can tell, it's a machine.
It's a very complicated machine.
Enormously sophisticated, 86 billion neurons,
about the same number of glial cells.
Each of these things is as complicated
as the city of San Francisco.
Each neuron in your head has the entire human genome in it.
It's expressing millions of gene products.
These are incredibly complicated biochemical cascades.
Each one is connected to 10,000 of its neighbors,
which means you have like half a quadrillion connections
in the brain.
So it's incredibly complicated thing,
but it is fundamentally appears to just be a machine.
And therefore, if there's nothing in it
that's not being driven by something else,
then it seems it's hard to understand
where free will would come from.
So that's the camp that pretty much all of us fall into,
but I will say, our science is still quite young.
And I'm a fan of the history of science,
and the thing that always strikes me as interesting
is when you look back at any moment in science,
everybody believes something is true,
and they simply didn't know about
what Einstein revealed or whatever.
And so who knows?
And they all feel like that we've,
at any moment in history,
they all feel like we've converged to the final answer.
Exactly, exactly.
Like all the pieces of the puzzle are there.
And I think that's a funny illusion
that's worth getting rid of.
And in fact, this is what drives good science
is recognizing that we don't have most of the puzzle pieces.
So as far as the free will question goes, I don't know.
At the moment, it seems, wow,
it'd be really impossible to figure out
how something else could fit in there,
but 100 years from now,
our textbooks might be very different than they are now.
I mean, could I ask you to speculate
where do you think free will could be squeezed into there?
Like, what's that even,
is it possible that our brain just creates
kinds of illusions that are useful for us?
Or like what, where could it possibly be squeezed in?
Well, let me give a speculation answer
to your very nice question,
but don't, and the listeners of this podcast,
don't quote me on this.
Yeah, exactly.
I'm not saying this is what I believe to be true,
but let me just give an example.
I give this at the end of my book, Incognito.
So the whole book of Incognito is about,
all the what's happening in the brain.
And essentially I'm saying, look,
here's all the reasons to think
that free will probably does not exist.
But at the very end, I say, look,
imagine that you are,
imagine that you're a Kalahari Bushman
and you find a radio in the sand
and you've never seen anything like this.
And you look at this radio and you realize
that when you turn this knob, you hear voices coming from,
there are voices coming from it.
So being a radio materialist,
you try to figure out like, how does this thing operate?
So you take off the back cover
and you realize there's all these wires.
And when you take out some wires,
the voices get garbled or stop or whatever.
And so what you end up developing is a whole theory
about how this connection, this pattern of wires
gives rise to voices.
But it would never strike you that in distant cities,
there's a radio tower and there's invisible stuff beaming.
And that's actually the origin of the voices.
And this is just necessary for it.
So I mentioned this just as a speculation,
say, look, how would we know,
what we know about the brain for absolutely certain
is that when you damage pieces and parts of it,
things get jumbled up.
But how would you know if there's something else going on
that we can't see like electromagnetic radiation
that is what's actually generating this?
Yeah, you paint a beautiful example
of how totally,
because we don't know most of how our universe works,
how totally off base we might be with our science until,
I mean, yeah, I mean, that's inspiring, that's beautiful.
It's kind of terrifying, it's humbling.
It's all of the above.
And the important part just to recognize
is that of course we're in the position
of having massive unknowns.
And we have of course the known unknowns
and that's all the things we're pursuing in our labs
and trying to figure out that,
but there's this whole space of unknown unknowns.
Things we haven't even realized we haven't asked yet.
Let me kind of ask a weird, maybe a difficult question,
part that has to do with,
I've been recently reading a lot about World War II.
I'm currently reading a book I recommend for people,
which as a Jew has been difficult to read,
but the rise and fall of the Third Reich.
So let me just ask about like the nature of genius,
the nature of evil.
If we look at somebody like Einstein,
we look at Hitler, Stalin, modern day Jeffrey Epstein,
just folks who through their life have done with Einstein
and works of genius and with the others I mentioned
have done evil on this world.
What do we think about that in a livewired brain?
Like how do we think about these extreme people?
Here's what I'd say.
This is a very big and difficult question,
but what I would say briefly on it is,
first of all, I saw a cover of Time Magazine some years ago
and it was a big sagittal slice of the brain
and it said something like, what makes us good and evil?
And there was a little spot pointing to it
and there was a picture of Gandhi
and there was a little spot that was pointing to Hitler.
And these Time Magazine covers always make me mad
because it's so goofy to think that we're gonna find
some spot in the brain or something.
Instead, the interesting part is because we're livewired,
we are all about the world and the culture around us.
§07Transcript · 52:20–1:00:51
So somebody like Adolf Hitler got all this positive feedback
about what was going on and the crazier and crazier
the ideas he had and he's like, let's set up death camps
and murder a bunch of people and so on.
Somehow he was getting positive feedback from that
and all these other people, they're all spun each other up.
And you look at anything like, I mean, look at the cultural
revolution in China or the Russian revolution
or things like this where you look at these things,
my God, how do people all behave like this?
But it's easy to see groups of people spinning themselves up
in particular ways where they all say,
well, would I have thought this was right
in a different circumstance?
I don't know, but Fred thinks it's right
and Steve thinks it's right,
everyone around me seems to think it's right.
And so part of the maybe downside of having a livewired brain
is that you can get crowds of people doing things as a group.
So it's interesting to, we would pinpoint Hitler
as saying that's the evil guy.
But in a sense, I think it was Tolstoy who said
the king becomes slave to the people.
In other words, Hitler was just a representation
of whatever was going on with that huge crowd
that he was surrounded with.
So I only bring that up to say that it's very difficult
to say what it is about this person's brain
or that person's brain.
He obviously got feedback for what he was doing.
The other thing, by the way,
about what we often think of as being evil in society
is my lab recently published some work
on in groups and out groups,
which is a very important part of this puzzle.
So it turns out that we are very engineered
to care about in groups versus out groups.
And this seems to be like a really fundamental thing.
So we did this experiment in my lab
where we brought people and we stick them in the scanner.
And we, I don't know if you noticed,
but we show them on the screen six hands
and the computer goes around randomly picks a hand.
And then you see that hand gets stabbed
with a syringe needle.
So you actually see a syringe needle enter the hand
and come out.
And it's really, what that does is that triggers
parts of the pain matrix,
this areas in your brain that are involved
in feeling physical pain.
Now, the interesting thing is it's not your hand
that was stabbed.
So what you're seeing is empathy.
This is you seeing someone else's hand gets stabbed.
You feel like, oh God, this is awful, right?
Okay.
We contrast that by the way,
with somebody's hand getting poked as a Q tip,
which is, you know, looks visually the same,
but you don't have that same level of response.
Now what we do is we label each hand with a one word label,
Christian, Jewish, Muslim, atheist, Scientologist, Hindu.
And now the computer goes around, picks a hand,
stabs the hand.
And the question is, how much does your brain care
about all the people in your out group
versus the one label that happens to match you?
And it turns out for everybody across all religions,
they care much more about their in group
than their out group.
And when I say they care, what I mean is
you get a bigger response from their brain.
Everything's the same.
It's the same hands.
It's just a one word label.
You care much more about your in group than your out group.
And I wish this weren't true, but this is how humans are.
I wonder how fundamental that is,
or if it's the emergent thing about culture.
Like if we lived alone with like,
if it's genetically built into the brain,
like this longing for tribe.
So I'll tell you, we addressed that.
So here's what we did.
There are two, actually there are two other things
we did as part of this study
that I think matter for this point.
One is, so okay, so we show that you have
a much bigger response.
And by the way, this is not a cognitive thing.
This is a very low level basic response
to seeing pain in somebody, okay.
Great study by the way.
Thanks, thanks, thanks.
What we did next is we next have it where we say,
okay, the year is 2025 and these three religions
are now in a war against these three religions.
And it's all randomized, right?
But what you see is your thing and you have two allies now
against these others.
And now it happens over the course of many trials,
you see everybody gets stabbed at different times.
And the question is, do you care more about your allies?
And the answer is yes.
Suddenly people who a moment ago,
you didn't really care when they got stabbed.
Now, simply with this one word thing
that they're now your allies, you care more about them.
But then what I wanted to do was look at
how ingrained is this or how arbitrary is it?
So we brought new participants in and we said,
here's a coin, toss the coin.
If it's heads, you're an Augustinian.
If it's a tails, you're a Justinian.
These are totally made up.
Okay, so they toss it, they get whatever.
We give them a band that says Augustinian on it,
whatever tribe they're in now, and they get in the scanner
and they see a thing on the screen that says
the Augustinians and Justinians are two warring tribes.
Then you see a bunch of hands,
some are labeled Augustinians, some are Justinian.
And now you care more about whichever team you're on
than the other team, even though it's totally arbitrary
and you know it's arbitrary
because you're the one who tossed the coin.
So it's a state that's very easy to find ourselves in.
In other words, just before walking in the door,
they'd never even heard of Augustinian versus Justinian
and now their brain is representing it
simply because they're told they're on this team.
You know, now I did my own personal study of this.
So once you're an Augustinian, that tends to be sticky
because I've been a Packers fan,
grew to be a Packers fan my whole life.
Now when I'm in Boston with like the Patriots,
it's been tough going for my livewired brain
to switch to the Patriots.
So once you become, it's as interesting,
once the tribe is sticky.
Yeah, I'll admit that's true.
That's it, you know.
You know, we never tried that about saying,
okay, now you're a Justinian and you were an Augustinian.
We never saw how sticky it is.
But there are studies of this,
of monkey troops on some island.
And what happens is they look at the way monkeys behave
when they're part of this tribe
and how they treat members of the other tribe of monkeys.
And then what they do, I've forgotten how they do that,
exactly, but they end up switching a monkey
so he ends up in the other troop.
And very quickly they end up becoming a part
of that other troop and hating and behaving badly
towards the original troop.
These are fascinating studies, by the way.
This is beautiful.
In your book, you have a good light bulb joke.
How many psychiatrists does it take to change a light bulb?
Only one, but the light bulb has to want to change.
Sorry.
I'm a sucker for a good light bulb joke.
Okay, so given, you know, I've been interested
in psychiatry my whole life, just maybe tangentially.
I've kind of early on dreamed to be a psychiatrist
until I understood what it entails.
But, you know, is there hope for psychiatry
for somebody else to help this live, wired brain to adjust?
Oh yeah, I mean, in the sense that,
and this has to do with this issue
about us being trapped on our own planet.
Forget psychiatrists, just think of like
when you're talking with a friend
and you say, oh, I'm so upset about this.
And your friend says, hey, just look at it this way.
You know, all we have access to under normal circumstances
is just the way we're seeing something.
And so it's super helpful to have friends and communities
and psychiatrists and so on to help things change that way.
So that's how psychiatrists sort of helped us.
But more importantly, the role that psychiatrists have played
is that there's this sort of naive assumption
that we all come to the table with,
which is that everyone is fundamentally just like us.
And when you're a kid, you believe this entirely,
but as you get older and you start realizing,
okay, there's something called schizophrenia
and that's a real thing.
And to be inside that person's head is totally different
than what it is to be inside my head or their psychopathy.
And to be inside the psychopath's head,
he doesn't care about other people.
He doesn't care about hurting other people.
He's just doing what he needs to do to get what he needs.
That's a different head.
There's a million different things going on
and it is different to be inside those heads.
This is where the field of psychiatry comes in.
§08Transcript · 1:00:51–1:09:00
Now, I think it's an interesting question
about the degree to which neuroscience is leaking into
and taking over psychiatry
and what the landscape will look like 50 years from now.
It may be that psychiatry as a profession changes a lot
or maybe goes away entirely,
and neuroscience will essentially be able
to take over some of these functions,
but it has been extremely useful to understand
the differences between how people behave and why
and what you can tell about what's going on
inside their brain just based on observation
of their behavior.
This might be years ago, but I'm not sure.
There's an Atlantic article you've written
about moving away from a distinction
between neurological disorders,
quote unquote, brain problems,
and psychiatric disorders or quote unquote, mind problems.
So on that topic, how do you think about this gray area?
Yeah, this is exactly the evolution that things are going
is there was psychiatry and then there were guys and gals
in labs poking cells and so on.
Those were the neuroscientists.
But yeah, I think these are moving together
for exactly the reason you just cited.
And where this matters a lot,
the Atlantic article that I wrote
was called The Brain on Trial,
where this matters a lot is the legal system
because the way we run our legal system now,
and this is true everywhere in the world,
is someone shows up in front of the judge's bench,
or let's say there's five people
in front of the judge's bench,
and they've all committed the same crime.
What we do, because we feel like, hey, this is fair,
is we say, all right, you're gonna get the same sentence.
You'll all get three years in prison or whatever it is.
But in fact, brains can be so different.
This guy's got schizophrenia, this guy's a psychopath,
this guy's tweaked down on drugs, and so on and so on,
that it actually doesn't make sense to keep doing that.
And what we do in this country more than anywhere
in the world is we imagine that incarceration
is a one size fits all solution.
And you may know we have the,
America has the highest incarceration rate
in the whole world in terms of the percentage
of our population we put behind bars.
So there's a much more refined thing we can do
as neuroscience comes in and changes,
and has the opportunity to change the legal system.
Which is to say, this doesn't let anybody off the hook.
It doesn't say, oh, it's not your fault, and so on.
But what it does is it changes the equation
so it's not about, hey, how blameworthy are you?
But instead is about, hey, what do we do from here?
What's the best thing to do from here?
So if you take somebody with schizophrenia
and you have them break rocks in the hot summer sun
in a chain gang, that doesn't help their schizophrenia.
That doesn't fix the problem.
If you take somebody with a drug addiction
who's in jail for being caught with two ounces
of some illegal substance, and you put them in prison,
it doesn't actually fix the addiction.
It doesn't help anything.
Happily, what neuroscience and psychiatry
bring to the table is lots of really useful things
you can do with schizophrenia, with drug addiction,
things like this.
And that's why, so I don't know if you guys
better run a national law and profit
called the Center for Science and Law.
And it's all about this intersection
of neuroscience and psychiatry.
It's the intersection of neuroscience and legal system.
And we're trying to implement changes
in every county, in every state.
I'll just, without going down that rabbit hole,
I'll just say one of the very simplest things to do
is to set up specialized court systems
where you have a mental health court
that has judges and juries with expertise
in mental illness.
Because if you go, by the way, to a regular court
and the person says, or the defense lawyer says,
this person has schizophrenia, most of the jury will say,
man, I call bullshit on that.
Why?
Because they don't know about schizophrenia.
They don't know what it's about.
And it turns out people who know about schizophrenia
feel very differently as a juror
than someone who happens not to know anybody with
schizophrenia, they think it's an excuse.
So you have judges and juries with expertise
in mental illness and they know the rehabilitative
strategies that are available.
That's one thing.
Having a drug court where you have judges and juries
with expertise in rehabilitative strategies
and what can be done and so on.
A specialized prostitution court and so on.
All these different things.
By the way, this is very easy for counties
to implement this sort of thing.
And this is, I think, where this matters
to get neuroscience into public policy.
What's the process of injecting expertise into this?
Yeah, I'll tell you exactly what it is.
A county needs to run out of money first.
I've seen this happen over and over.
So what happens is a county has a completely full jail
and they say, you know what?
We need to build another jail.
And then they realize, God, we don't have any money.
We can't afford this.
We've got too many people in jail.
And that's when they turn to,
God, we need something smarter.
And that's when they set up specialized court systems.
Yeah.
We're all function best when our back is against the wall.
And that's what COVID is good for.
It's because we've all had our routines
and we are optimized for the things we do.
And suddenly our backs are against the wall, all of us.
Yeah, it's really, I mean,
one of the exciting things about COVID.
I mean, I'm a big believer in the possibility
of what government can do for the people.
And when it becomes too big of a bureaucracy,
it starts functioning poorly, it starts wasting money.
It's nice to, I mean, COVID reveals that nicely.
And lessons to be learned about who gets elected
and who goes into government.
Hopefully this, hopefully this inspires talented
and young people to go into government
to revolutionize different aspects of it.
Yeah, so that's the positive silver lining of COVID.
I mean, I thought it'd be fun to ask you,
I don't know if you're paying attention
to the machine learning world and GPT3.
So the GPT3 is this language model,
this neural network that's able to,
it has 175 billion parameters.
So it's very large and it's trained
in an unsupervised way on the internet.
It just reads a lot of unstructured texts
and it's able to generate some pretty impressive things.
The human brain compared to that has about,
you know, a thousand times more synapses.
People get so upset when machine learning people
compare the brain and we know synapses are different.
It was very different, very different.
But like, do you, what do you think about GPT3?
Here's what I think, here's what I think, a few things.
What GPT3 is doing is extremely impressive,
but it's very different from what the brain does.
So it's a good impersonator, but just as one example,
everybody takes a passage that GPT3 has written
and they say, wow, look at this, and it's pretty good, right?
But it's already gone through a filtering process
of humans looking at it and saying,
okay, well that's crap, that's crap, okay.
Oh, here's a sentence that's pretty cool.
Now here's the thing, human creativity
is about absorbing everything around it
and remixing that and coming up with stuff.
So in that sense, we're sort of like GPT3,
you know, we're remixing what we've gotten in before.
But we also know, we also have very good models
of what it is to be another human.
And so, you know, I don't know if you speak French
or something, but I'm not gonna start speaking in French
because then you'll say, wait, what are you doing?
I don't understand it.
Instead, everything coming out of my mouth
is meant for your ears.
I know what you'll understand.
I know the vocabulary that you know and don't know.
I know what parts you care about.
That's a huge part of it.
And so of all the possible sentences I could say,
I'm navigating this thin bandwidth
so that it's something useful for our conversation.
Yeah, in real time, but also throughout your life.
I mean, we're co evolving together.
We're learning how to communicate together.
Exactly, but this is what GPT3 does not do.
All it's doing is saying, okay,
I'm gonna take all these senses and remix stuff
and pop some stuff out.
But it doesn't know how to make it
so that you, Lex, will feel like,
oh yeah, that's exactly what I needed to hear.
That's the next sentence that I needed to know about
for something.
§09Transcript · 1:09:00–1:16:46
Well, of course, it could be,
all the impressive results we see.
The question is, if you raise the number of parameters,
whether it's going to be after some...
It will not be.
It will not be.
Raising more parameters won't...
Here's the thing.
It's not that I don't think neural networks
can't be like the human brain,
because I suspect they will be at some point, 50 years.
Who knows?
But what we are missing in artificial neural networks
is we've got this basic structure where you've got units
and you've got synapses that are connected.
And that's great.
And it's done incredibly mind blowing, impressive things,
but it's not doing the same algorithms as the human brain.
So when I look at my children, as little kids,
as infants, they can do things that no GPT3 can do.
They can navigate a complex room.
They can navigate social conversation with an adult.
They can lie.
They can do a million things.
They are active thinkers in our world and doing things.
And this, of course, I mean, look,
we totally agree on how incredibly awesome
artificial neural networks are right now,
but we also know the things that they can't do well,
like be generally intelligent,
do all these different things.
The reason about the world,
efficiently learn, efficiently adapt.
Exactly.
But it's still the rate of improvement.
It's, to me, it's possible that we'll be surprised.
I agree, possible we'll be surprised.
But what I would assert,
and I'm glad I'm getting to say this on your podcast,
we can look back at this in two years and 10 years,
is that we've got to be much more sophisticated
than units and synapses between them.
Let me give you an example,
and this is something I talk about in LiveWired,
is despite the amazing impressiveness,
mind blowing impressiveness,
computers don't have some basic things,
artificial neural networks don't have some basic things
that we like caring about relevance, for example.
So as humans, we are confronted
with tons of data all the time,
and we only encode particular things
that are relevant to us.
We have this very deep sense of relevance
that I mentioned earlier is based on survival
at the most basic level,
but then all the things about my life and your life,
what's relevant to you, that we encode.
This is very useful.
Computers at the moment don't have that.
They don't even have a yen to survive
and things like that.
So we filled out a bunch of the junk we don't need.
We're really good at efficiently
zooming in on things we need.
Again, could be argued, you know,
let me put on my Freud hat.
Maybe it's, I mean, that's our conscious mind.
There's no reason that neural networks
aren't doing the same kind of filtration.
I mean, in the sense with GPT3 is doing,
so there's a priming step.
It's doing an essential kind of filtration
when you ask it to generate tweets from,
I don't know, from an Elon Musk or something like that.
It's doing a filtration of it's throwing away
all the parameters it doesn't need for this task.
And it's figuring out how to do that successfully.
And then ultimately it's not doing a very good job
right now, but it's doing a lot better job
than we expected.
But it won't ever do a really good job.
And I'll tell you why.
I mean, so let's say we say,
hey, produce an Elon Musk tweet.
And we see like, oh, wow, it produced these three.
That's great.
But again, we're not seeing the 3000 produced
that didn't really make any sense.
It's because it has no idea what it is like to be a human.
And all the things that you might want to say
and all the reasons you wouldn't,
like when you go to write a tweet,
you might write something you think,
ah, it's not gonna come off quite right
in this modern political climate or whatever.
Like, you know, you can change things.
So.
And it somehow boils down to fear of mortality
and all of these human things at the end of the day,
all contained with that tweeting experience.
Well, interestingly, the fear of mortality
is at the bottom of this,
but you've got all these more things like,
you know, oh, I want to,
just in case the chairman of my department reads this,
I want it to come off well there.
Just in case my mom looks at this tweet,
I want to make sure she, you know, and so on.
So those are all the things that humans are able
to sort of throw into the calculation.
I mean.
What it required, what it requires though,
is having a model of your chairman,
having a model of your mother,
having a model of, you know,
the person you want to go on a date with
who might look at your tweet and so on.
All these things are,
you're running models of what it is like to be them.
So in terms of the structure of the brain,
again, this may be going into speculation land.
I hope you go along with me.
Yeah, of course.
Yep.
Is, okay, so the brain seems to be intelligent
and our AI systems aren't very currently.
So where do you think intelligence arises in the brain?
Like what is it about the brain?
So if you mean where location wise,
it's no single spot.
It would be equivalent to asking,
I'm looking at New York city,
where is the economy?
The answer is you can't point to anywhere.
The economy is all about the interaction
of all of the pieces and parts of the city.
And that's what, you know, intelligence,
whatever we mean by that in the brain
is interacting from everything going on at once.
In terms of a structure.
So we look humans are much smarter than fish,
maybe not dolphins, but dolphins are mammals, right?
I assert that what we mean by smarter
has to do with live wiring.
So what we mean when we say, oh, we're smart
is, oh, we can figure out a new thing
and figure out a new pathway to get where we need to go.
And that's because fish are essentially coming to the table
with, you know, okay, here's the hardware, go swim, mate.
But we have the capacity to say,
okay, look, I'm gonna absorb, oh, oh,
but you know, I saw someone else do this thing
and I read once that you could do this other thing
and so on.
So do you think there's, is there something,
I know these are mysteries,
but like architecturally speaking,
what feature of the brain of the live wire aspect of it
that is really useful for intelligence?
So like, is it the ability of neurons to reconnect?
Like, is there something,
is there any lessons about the human brain
you think might be inspiring for us
to take into the artificial, into the machine learning world?
Yeah, I'm actually just trying to write some up on this now
called, you know, if you wanna build a robot,
start with the stomach.
And what I mean by that, what I mean by that is
a robot has to care, it has to have hunger,
it has to care about surviving, that kind of thing.
Here's an example.
So the penultimate chapter of my book,
I titled The Wolf and the Mars Rover.
And I just look at this simple comparison
of you look at a wolf, it gets its leg caught in a trap.
What does it do?
It gnaws its leg off,
and then it figures out how to walk on three legs.
No problem.
Now, the Mars Rover Curiosity got its front wheel stuck
in some Martian soil, and it died.
This project that cost billions of dollars died
because it got its wheels.
Wouldn't it be terrific if we could build a robot
that chewed off its front wheel and figured out
how to operate with a slightly different body plan?
That's the kind of thing that we wanna be able to build.
And to get there, what we need,
the whole reason the wolf is able to do that
is because its motor and somatosensory systems
are live wired.
So it says, oh, you know what?
Turns out we've got a body plan that's different
than what I thought a few minutes ago,
but I have a yen to survive and I care about relevance,
which in this case is getting to food,
getting back to my pack and so on.
So I'm just gonna figure out how to operate with this.
Oh, whoops, that didn't work.
§10Transcript · 1:16:46–1:24:33
Oh, okay, I'm kind of getting it to work.
But the Mars Rover doesn't do that.
It just says, oh geez, I was pre programmed.
Four wheels, now I have three, I'm screwed.
Yeah, you know, I don't know if you're familiar
with a philosopher named Ernest Becker.
He wrote a book called Denial of Death.
And there's a few psychologists, Sheldon Solomon,
I think I just spoke with him on his podcast
who developed terror management theory,
which is like Ernest Becker is a philosopher
that basically said that fear of mortality
is at the core of it.
Yeah.
And so I don't know if it sounds compelling as an idea
that all of the civilization we've constructed
is based on this, but it's.
I'm familiar with his work.
Here's what I think.
I think that yes, fundamentally this desire to survive
is at the core of it, I would agree with that.
But how that expresses itself in your life
ends up being very different.
The reason you do what you do is, I mean,
you could list the 100 reasons why you chose
to write your tweet this way and that way.
And it really has nothing to do with the survival part.
It has to do with, you know, trying to impress fellow humans
and surprise them and say something.
Yeah, so many things built on top of each other,
but it's fascinating to think
that in artificial intelligence systems,
we wanna be able to somehow engineer this drive
for survival, for immortality.
I mean, because as humans, we're not just about survival,
we're aware of the fact that we're going to die,
which is a very kind of, we're aware of like space time.
Most people aren't, by the way.
Aren't?
Aren't.
Confucius said, he said, each person has two lives.
The second one begins when you realize
that you have just one.
Yeah.
But most people, it takes a long time
for most people to get there.
I mean, you could argue this kind of Freudian thing,
which Erzbecker argues is they actually figured it out
early on and the terror they felt
was like the reason it's been suppressed.
And the reason most people, when I ask them
about whether they're afraid of death,
they basically say no.
They basically say like, I'm afraid I won't get,
like submit the paper before I die.
Like they kind of see, they see death
as a kind of a inconvenient deadline
for a particular set of, like a book you're writing.
As opposed to like, what the hell?
This thing ends at any moment.
Like most people, as I've encountered,
do not meditate on the idea that like right now
you could die.
Like right now, like in the next five minutes,
it could be all over and, you know, meditate on that idea.
I think that somehow brings you closer
to like the core of the motivations
and the core of the human cognition condition.
I think it might be the core, but like I said,
it is not what drives us day to day.
Yeah, there's so many things on top of it,
but it is interesting.
I mean, as the ancient poet said,
death whispers at my ear, live for I come.
So it's, it is certainly motivating
when we think about that.
Okay, I've got some deadline.
I don't know exactly when it is,
but I better make stuff happen.
It is motivating, but I don't think,
I mean, I know for just speaking for me personally,
that's not what motivates me day to day.
It's instead, oh, I want to get this, you know,
program up and running before this,
or I want to make sure my coauthor isn't mad at me
because I haven't gotten this in,
or I don't want to miss this grant deadline,
or, you know, whatever the thing is.
Yeah, it's too distant in a sense.
Nevertheless, it is good to reconnect.
But for the AI systems, none of that is there.
Like a neural network does not fear its mortality.
And that seems to be somehow
fundamentally missing the point.
I think that's missing the point,
but I wonder, it's an interesting speculation
about whether you can build an AI system
that is much closer to being a human
without the mortality and survival piece,
but just the thing of relevance,
just I care about this versus that.
Right now, if you have a robot roll into the room,
it's going to be frozen
because it doesn't have any reason to go there versus there.
It doesn't have any particular set of things
about this is how I should navigate my next move
because I want something.
Yeah, the thing about humans
is they seem to generate goals.
They're like, you said livewired.
I mean, it's very flexible in terms of the goals
and creative in terms of the goals we generate
when we enter a room.
You show up to a party without a goal,
usually, and then you figure it out along the way.
Yes, but this goes back to the question about free will,
which is when I walk into the party,
if you rewound it 10,000 times,
would I go and talk to that couple over there
versus that person?
Like, I might do this exact same thing every time
because I've got some goal stack and I think,
okay, well, at this party,
I really want to meet these kind of people
or I feel awkward or whatever my goals are.
By the way, so there was something
that I meant to mention earlier.
If you don't mind going back,
which is this, when we were talking about BCI.
So I don't know if you know this,
but what I'm spending 90% of my time doing now
is running a company.
Do you know about this?
Yes, I wasn't sure what the company is involved in.
Right, so. Can you talk about it?
Yeah, yeah.
So when it comes to the future of BCI,
you can put stuff into the brain invasively,
but my interest has been how you can get data streams
into the brain noninvasively.
So I run a company called Neosensory
and what we build is this little wristband.
We've built this in many different form factors.
Oh, wow, that's it?
Yeah, this is it.
And it's got these vibratory motors in it.
So these things, as I'm speaking, for example,
it's capturing my voice and running algorithms
and then turning that into patterns of vibration here.
So people who are deaf, for example,
learn to hear through their skin.
So the information is getting up to their brain this way
and they learn how to hear.
So it turns out on day one, people are pretty good,
like better than you'd expect at being able to say,
oh, that's weird, was that a dog barking?
Was that a baby crying?
Was that a door knock, a doorbell?
Like people are pretty good at it,
but with time they get better and better
and what it becomes is a new qualia.
In other words, a new subjective internal experience.
So on day one, they say, whoa, what was that?
Oh, oh, that was the dog barking.
But by three months later, they say,
oh, there's a dog barking somewhere.
Oh, there's the dog.
That's fascinating.
And by the way, that's exactly how you learn
how to use your ears.
So of course you don't remember this,
but when you were an infant, all you have are
your eardrum vibrating causes spikes to go down,
your auditory nerves and impinging your auditory cortex.
Your brain doesn't know what those mean automatically,
but what happens is you learn how to hear
by looking for correlations.
You clap your hands as a baby,
you look at your mother's mouth moving
and that correlates with what's going on there.
And eventually your brain says, all right,
I'm just gonna summarize this as an internal experience,
as a conscious experience.
And that's exactly what happens here.
The weird part is that you can feed data into the brain,
not through the ears, but through any channel
that gets there.
As long as the information gets there,
your brain figures out what to do with it.
That's fascinating.
Like expanding the set of sensors,
it could be arbitrarily, yeah,
it could expand arbitrarily, which is fascinating.
Well, exactly.
And by the way, the reason I use this skin,
there's all kinds of cool stuff going on
in the AR world with glasses.
But the fact is your eyes are overtaxed
and your ears are overtaxed
and you need to be able to see and hear other stuff.
§11Transcript · 1:24:33–1:31:56
But you're covered with the skin,
which is this incredible computational material
with which you can feed information.
And we don't use our skin for much of anything nowadays.
My joke in the lab is that I say,
we don't call this the waste for nothing.
Because originally we built this as the vest
and you're passing in all this information that way.
And what I'm doing here with the deaf community
is what's called sensory substitution,
where I'm capturing sound and I'm just replacing the ears
with the skin and that works.
One of the things I talk about LiveWire
is sensory expansion.
So what if you took something like your visual system,
which picks up on a very thin slice
of the electromagnetic spectrum,
and you could see infrared or ultraviolet.
So we've hooked that up, infrared and ultraviolet detectors,
and I can feel what's going on.
So just as an example, the first night I built the infrared,
one of my engineers built it, the infrared detector,
I was walking in the dark between two houses
and suddenly I felt all this infrared radiation.
I was like, where's that come from?
And I just followed my wrist and I found an infrared camera,
a night vision camera that was,
but I immediately, oh, there's that thing there.
Of course, I would have never seen it,
but now it's just part of my reality.
That's fascinating.
Yeah, and then of course,
what I'm really interested in is sensory addition.
What if you could pick up on stuff
that isn't even part of what we normally pick up on,
like the magnetic field of the earth
or Twitter or stock market or things like that.
Or the, I don't know, some weird stuff
like the moods of other people or something like that.
Sure, now what you need is a way to measure this.
So as long as there's a machine that can measure it,
it's easy, it's trivial to feed this in here
and you come to be, it comes to be part of your reality.
It's like you have another sensor.
And that kind of thing is without doing like,
if you look in Neuralink,
I forgot how you put it, but it was eloquent,
without getting, cutting into the brain, basically.
Yeah, exactly, exactly.
So this costs, at the moment, $399.
That's not gonna kill you.
Yeah, it's not gonna kill you.
You just put it on and when you're done, you take it off.
Yeah, and so, and the name of the company, by the way,
is Neosensory for new senses, because the whole idea is.
Beautiful, that's.
You can, as I said, you come to the table
with certain plug and play devices and then that's it.
Like I can pick up on this little bit
of the electromagnetic radiation,
you can pick up on this little frequency band
for hearing and so on, but I'm stuck there
and there's no reason we have to be stuck there.
We can expand our umwelt by adding new senses, yeah.
What's umwelt?
Oh, I'm sorry, the umwelt is the slice of reality
that you pick up on.
So each animal has its own umwelt.
Yeah, exactly.
Nice.
I'm sorry, I forgot to define it before.
It's such an important concept, which is to say,
for example, if you are a tick,
you pick up on butyric gas, you pick up on odor
and you pick up on temperature, that's it.
That's how you construct your reality
is with those two sensors.
If you are a blind echolocating bat,
you're picking up on air compression waves coming back,
you know, echolocation.
If you are the black ghost knife fish,
you're picking up on changes in the electrical field
around you with electroreception.
That's how they swim around
and tell there's a rock there and so on.
But that's all they pick up on.
That's their umwelt.
That's the signals they get from the world
from which to construct their reality.
And they can be totally different umwelts.
That's fantastic.
And so our human umwelt is, you know,
we've got little bits that we can pick up on.
One of the things I like to do with my students
is talk about, imagine that you are a bloodhound dog, right?
You are a bloodhound dog with a huge snout
with 200 million scent receptors in it.
And your whole world is about smelling.
You know, you've got slits in your nostrils,
like big nose fulls of air and so on.
Do you have a dog?
Nope, used to.
Used to, okay, right.
So you know, you walk your dog around
and your dog is smelling everything.
The whole world is full of signals
that you do not pick up on.
And so imagine if you were that dog
and you looked at your human master and thought,
my God, what is it like to have
the pitiful little nose of a human?
How could you not know that there's a cat 100 yards away
or that your friend was here six hours ago?
And so the idea is because we're stuck in our own belt,
because we have this little pitiful noses,
we think, okay, well, yeah, we're seeing reality,
but you can have very different sorts of realities
depending on the peripheral plug and play devices
you're equipped with.
It's fascinating to think that like,
if we're being honest, probably our own belt
is, you know, some infinitely tiny percent
of the possibilities of how you can sense,
quote unquote, reality, even if you could,
I mean, there's a guy named Donald Hoffman, yeah,
who basically says we're really far away from reality
in terms of our ability to sense anything.
Like we're very, we're almost like we're floating out there
that's almost like completely attached
to the actual physical reality.
It's fascinating that we can have extra senses
that could help us get a little bit closer.
Exactly, and by the way, this has been the fruits
of science is realizing, like, for example,
you know, you open your eyes
and there's the world around you, right?
But of course, depending on how you calculate it,
it's less than a 10 trillionth of the electromagnetic
spectrum that we call visible light.
The reason I say it depends,
because, you know, it's actually infinite
in all directions presumably.
Yeah, and so that's exactly that.
And then science allows you to actually look
into the rest of it.
Exactly, so understanding how big the world is out there.
And the same with the world of really small
and the world of really large.
Exactly.
That's beyond our ability to sense.
Exactly, and so the reason I think this kind of thing
matters is because we now have an opportunity
for the first time in human history to say,
okay, well, I'm just gonna include other things
in my own belt.
So I'm gonna include infrared radiation
and have a direct perceptual experience of that.
And so I'm very, you know, I mean,
so, you know, I've given up my lab
and I run this company 90% of my time now.
That's what I'm doing.
I still teach at Stanford and I'm, you know,
teaching courses and stuff like that.
But this is like, this is your passion.
The fire is on this.
Yeah, I feel like this is the most important thing
that's happening right now.
I mean, obviously I think that,
because that's what I'm devoting my time in my life to.
But I mean, it's a brilliant set of ideas.
It certainly is like, it's a step in a very vibrant future,
I would say.
Like the possibilities there are endless.
Exactly.
So if you ask what I think about Neuralink,
I think it's amazing what those guys are doing
and working on,
but I think it's not practical for almost everybody.
For example, for people who are deaf, they buy this
and, you know, every day we're getting tons of emails
and tweets and whatever from people saying, wow,
I picked up on this and then I had no idea that was a,
I didn't even know that was happening out there.
And they're coming to hear, by the way,
this is, you know, less than a 10 year old,
by the way, this is less than a 10th of the price
of a hearing aid and like 250 times less
than a cochlear implant.
That's amazing.
People love hearing about what, you know,
brilliant folks like yourself could recommend
in terms of books.
Of course, you're an author of many books.
So I'll, in the introduction,
mention all the books you've written.
People should definitely read LiveWired.
I've gotten a chance to read some of it and it's amazing.
But is there three books, technical, fiction,
philosophical that had an impact on you
when you were younger or today and books,
§12Transcript · 1:31:56–1:39:52
perhaps some of which you would want to recommend
that others read?
You know, as an undergraduate,
I majored in British and American literature.
That was my major because I love literature.
I grew up with literature.
My father had these extensive bookshelves.
And so I grew up in the mountains in New Mexico.
And so that was mostly why I spent my time was reading books.
But, you know, I love, you know, Faulkner, Hemingway.
I love many South American authors,
Gabriel Garcia Marquez and Italo Calvino.
I would actually recommend Invisible Cities.
I just, I loved that book by Italo Calvino.
Sorry, it's a book of fiction.
Anthony Dorr wrote a book called
All the Light We Cannot See,
which actually was inspired by incognito,
by exactly what we were talking about earlier
about how you can only see a little bit of the,
what we call visible light in the electromagnetic radiation.
I wrote about this in incognito,
and then he reviewed incognito for the Washington Post.
Oh no, that's awesome.
And then he wrote this book called,
the book has nothing to do with that,
but that's where the title comes from.
All the Light We Cannot See
is about the rest of the spectrum.
But the, that's an absolutely gorgeous book.
That's a book of fiction.
Yeah, it's a book of fiction.
What's it about?
It takes place during World War II
about these two young people,
one of whom is blind and yeah.
Anything else?
So what, any, so you mentioned Hemingway?
I mean.
Old Man and the Sea, what's your favorite?
Snow's a Kilimanjaro.
Oh wow, okay.
It's a collection of short stories that I love.
As far as nonfiction goes,
I grew up with Cosmos,
both watching the PBS series and then reading the book,
and that influenced me a huge amount in terms of what I do.
I, from the time I was a kid,
I felt like I want to be Carl Sagan.
Like, I just, that's what I loved.
And in the end, I just, you know,
I studied space physics for a while as an undergrad,
but then I, in my last semester,
discovered neuroscience last semester,
and I just thought, wow, I'm hooked on that.
So the Carl Sagan of the brain.
That was my aspiration.
Is the aspiration.
I mean, you're doing an incredible job of it.
So you open the book live wide with a quote by Heidegger.
Every man is born as many men and dies as a single one.
Well, what do you mean, or what?
I'll tell you what I meant by it.
So he had his own reason why he was writing that,
but I meant this in terms of brain plasticity,
in terms of the library,
which is this issue that I mentioned before
about this, you know, this cone,
the space time cone that we are in,
which is that when you dropped into the world,
you, Lex, had all this different potential.
You could have been a great surfer
or a great chess player or a,
you could have been thousands of different men
when you grew up,
but what you did is things that were not your choice
and your choice along the way.
You know, you ended up navigating a particular path
and now you're exactly who you are.
You used to have lots of potential,
but the day you die, you will be exactly Lex.
You will be that one person, yeah.
So on that, in that context,
I mean, first of all, it's just a beautiful,
it's a humbling picture, but it's a beautiful one
because it's all the possible trajectories
and you pick one and you walk down that road
and it's the Robert Frost poem.
But on that topic, let me ask the biggest
and the most ridiculous question.
So in this live, wide brain,
when we choose all these different trajectories
and end up with one, what's the meaning of it all?
What's, is there a why here?
What's the meaning of life?
Yeah.
David Engelman.
That's it.
I mean, this is the question that everyone has attacked
from their own life or point of view,
by which I mean, culturally,
if you grew up in a religious society,
you have one way of attacking that question.
So if you grew up in a secular or scientific society,
you have a different way of attacking that question.
Obviously, I don't know, I abstain on that question.
Yeah.
I mean, I think one of the fundamental things,
I guess, in that, in all those possible trajectories
is you're always asking.
I mean, that's the act of asking
what the heck is this thing for,
is equivalent to, or at least runs in parallel
to all the choices that you're making.
Cause it's kind of, that's the underlying question.
Well, that's right.
And by the way, you know,
this is the interesting thing about human psychology.
You know, we've got all these layers of things
at which we can ask questions.
And so if you keep asking yourself the question about,
what is the optimal way for me to be spending my time?
What should I be doing?
What charity should I get involved with and so on?
If you're asking those big questions
that steers you appropriately,
if you're the type of person who never asks,
hey, is there something better I can be doing with my time,
then presumably you won't optimize
whatever it is that is important to you.
So you've, I think just in your eyes, in your work,
there's a passion that just is obvious and it's inspiring.
It's contagious.
What, if you were to give advice to us,
a young person today,
in the crazy chaos that we live today about life,
about how to discover their passion,
is there some words that you could give?
First of all, I would say the main thing
for a young person is stay adaptable.
And this is back to this issue of why COVID
is useful for us because it forces us off our tracks.
The fact is the jobs that will exist 20 years from now,
we don't even have names for it.
We can't even imagine the jobs that are gonna exist.
And so when young people that I know go into college
and they say, hey, what should I major in and so on,
college is and should be less and less vocational,
as in, oh, I'm gonna learn how to do this
and then I'm gonna do that the rest of my career.
The world just isn't that way anymore
with the exponential speed of things.
So the important thing is learning how to learn,
learning how to be livewired and adaptable.
That's really key.
And what I advise young people when I talk to them is,
what you digest, that's what gives you the raw storehouse
of things that you can remix and be creative with.
And so eat broadly and widely.
And obviously this is the wonderful thing
about the internet world we live in now
is you kind of can't help it.
You're constantly, whoa.
You go down some mole hole of Wikipedia
and you think, oh, I didn't even realize that was a thing.
I didn't know that existed.
And so.
Embrace that.
Embrace that, yeah, exactly.
And what I tell people is just always do a gut check
about, okay, I'm reading this paper
and yeah, I think that, but this paper, wow,
that really, I really cared about that in some way.
I tell them just to keep a real sniff out for that.
And when you find those things, keep going down those paths.
Yeah, don't be afraid.
I mean, that's one of the challenges and the downsides
of having so many beautiful options
is that sometimes people are a little bit afraid
to really commit, but that's very true.
If there's something that just sparks your interest
and passion, just run with it.
I mean, that's, it goes back to the Haider quote.
I mean, we only get this one life
and that trajectory, it doesn't last forever.
So just if something sparks your imagination,
your passion is run with it.
Yeah, exactly.
I don't think there's a more beautiful way to end it.
David, it's a huge honor to finally meet you.
Your work is inspiring so many people.
I've talked to so many people who are passionate
about neuroscience, about the brain, even outside
that read your book.
So I hope you keep doing so.
I think you're already there with Carl Sagan.
I hope you continue growing.
Yeah, it was an honor talking with you today.
Thanks so much.
Great, you too, Lex, wonderful.
§13Transcript · 1:39:53–1:41:23
Thanks for listening to this conversation
with David Eagleman, and thank you to our sponsors,
Athletic Greens, BetterHelp, and Cash App.
Click the sponsor links in the description
to get a discount and to support this podcast.
If you enjoy this thing, subscribe on YouTube,
review it with Five Stars on Apple Podcast,
follow on Spotify, support on Patreon,
or connect with me on Twitter at Lex Friedman.
And now let me leave you with some words
from David Eagleman in his book,
Some Forty Tales from the Afterlives.
Imagine for a moment there were nothing but
the product of billions of years of molecules
coming together and ratcheting up through natural selection.
There were composed only of highways of fluids
and chemicals sliding along roadways
within billions of dancing cells.
The trillions of synaptic connections hum in parallel
that this vast egg like fabric of micro thin circuitry
runs algorithms undreamt of in modern science,
and that these neural programs give rise to
our decision making, loves, desires, fears, and aspirations.
To me, understanding this would be a numinous experience,
better than anything ever proposed in any holy text.
Thank you for listening and hope to see you next time.