WEBVTT - Ep83 "Why Do Your 30 Trillion Cells Feel Like a Self?" Part 2

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<v Speaker 1>Why do you think of your thirty trillion cells as

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<v Speaker 1>a self? Does an ant colony have a sense of self?

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<v Speaker 1>And could you think of all those ants as a

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<v Speaker 1>liquid brain? What does any of this have to do

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<v Speaker 1>with how the brain of a caterpillar transitions to the

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<v Speaker 1>brain of a butterfly, or how we might think of

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<v Speaker 1>a memory as a pattern that stays alive and has

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<v Speaker 1>its own life. Welcome to Inner Cosmos with me David Eagleman.

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<v Speaker 1>I'm a neuroscientist and an author at Stanford and in

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<v Speaker 1>these episodes we dive deeply into our three pound universe

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<v Speaker 1>to uncover some of the most surprising aspects of our lives.

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<v Speaker 1>In the last piso, I talked about who we are

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<v Speaker 1>and how we change through time. The pieces and parts

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<v Speaker 1>of every single cell in your body degrade and get

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<v Speaker 1>replaced continuously, such that you are physically speaking, a totally

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<v Speaker 1>new person every few years, and yet we experience the

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<v Speaker 1>illusion that we are the same person we've always been.

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<v Speaker 1>We have this illusion of constancy. So last week we

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<v Speaker 1>explore this by considering the thought experiment of the Ship

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<v Speaker 1>of Theseus.

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<v Speaker 2>The story here is that.

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<v Speaker 1>Each plank of a famous ship is replaced one by

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<v Speaker 1>one over time, which raises the question, is it's still

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<v Speaker 1>the same ship even after every plank has been replaced

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<v Speaker 1>and nothing of the original remains. We consider this question,

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<v Speaker 1>of course, because like the ship, we too exist with

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<v Speaker 1>physical changes that never stop, and yet we perceive ourselves

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<v Speaker 1>as constant through time. The planks of theseus's ship map

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<v Speaker 1>onto the cells and molecules in our bodies. So what

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<v Speaker 1>maintains your sense of self over time? Okay, so maybe

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<v Speaker 1>the thing that links our different selves through time is

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<v Speaker 1>our memory. But there's a problem here as well, which

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<v Speaker 1>is that memory is notoriously unreliable. It's constantly being reshaped

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<v Speaker 1>and revised. So this is all very strange. And there's

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<v Speaker 1>an added difficulty, which is that we're constantly changing, and

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<v Speaker 1>even when we recognize that we have changed, we always

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<v Speaker 1>assume that we're not going to change very much into

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<v Speaker 1>the future, and that's always incorrect. This is a cognitive

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<v Speaker 1>bias called the end of history illusion. We tend to

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<v Speaker 1>believe that our current preferences and personalities are fixed, even

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<v Speaker 1>though we will in fact continue to evolve. So that's

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<v Speaker 1>our situation. We constantly change, but we're reaching back into

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<v Speaker 1>our not so good memory to try to understand who

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<v Speaker 1>we are, or.

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<v Speaker 2>At least who we were.

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<v Speaker 1>All this encourages us to start looking for new frameworks

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<v Speaker 1>when we think about the self. For example, what if

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<v Speaker 1>we thought of the memories themselves like their own little

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<v Speaker 1>creatures and they are competing to stay alive. So in

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<v Speaker 1>this episode, I want to dive into new ways of

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<v Speaker 1>thinking about all of this, and there is no one

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<v Speaker 1>better to ring up for that than my colleague Michael Levins.

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<v Speaker 1>He's one of the most energetic and original thinkers in

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<v Speaker 1>the field. Michael is a developmental biologist and a synthetic biologist,

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<v Speaker 1>meaning he makes new kinds of organisms. He's a Toughts

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<v Speaker 1>University and what I love about Michael is his extremely

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<v Speaker 1>broad interests like bioelectrical signals by which cells communicate, and

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<v Speaker 1>what cognition looks like across totally different body plans, and

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<v Speaker 1>how you get similar forms and functions across all kinds

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<v Speaker 1>of different scales and biology. So I'm going to have

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<v Speaker 1>Michael back to talk about some of these other topics

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<v Speaker 1>on a future episode, but today I want to zoom

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<v Speaker 1>in with him on his recent thinking about the self

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<v Speaker 1>and memory. So Mike, tell us how you think about

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<v Speaker 1>the self.

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<v Speaker 2>I work in diverse intelligence. I'm interested in all different

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<v Speaker 2>kinds of implementations of minds, and I think a self

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<v Speaker 2>is a useful way to think about selves is as

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<v Speaker 2>a system that has goals of some particular size. It's

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<v Speaker 2>what the dark hop Statu would call a strange loop.

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<v Speaker 2>It's an observer of the outside world, but it's also

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<v Speaker 2>an observer of itself. It's something that can loop back

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<v Speaker 2>in and interpret what its own memories mean and what

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<v Speaker 2>it is doing, and make decision and going forward. Those

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<v Speaker 2>are the components of being a self. And so do

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<v Speaker 2>selves change? Yeah? Part of the paradox of being a

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<v Speaker 2>self is that you have to change in order to

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<v Speaker 2>stay alive. You have to change in order to persist.

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<v Speaker 2>Every time you learn something, every time you make a

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<v Speaker 2>decision that then feeds back and alters the inputs that

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<v Speaker 2>you receive and thus changes your own cognitive system and

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<v Speaker 2>your own behavior going forward. You've now changed. I you know,

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<v Speaker 2>we selves face this this paradox that in order to

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<v Speaker 2>to to to persist, they must change and transform over time.

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<v Speaker 1>Why do you suppose we have the illusion of ourselves

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<v Speaker 1>when we think about you know yourself and your life,

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<v Speaker 1>you have the illusion that it's unchanging.

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<v Speaker 2>What do you suppose that's about. Yeah, I think that,

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<v Speaker 2>Uh well, let's let's just think about very primitive, basic, fundamental,

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<v Speaker 2>basic agents at the very beginning of of of of

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<v Speaker 2>that of that spectrum. If if you're any kind of

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<v Speaker 2>a system that's going to survive in the real world,

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<v Speaker 2>what you can't afford to do is to be a

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<v Speaker 2>kind of placium demon where where you're tracking the micro

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<v Speaker 2>states of you know, every single stimulus, every molecular impact

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<v Speaker 2>on your membrane or whatever you can. You can't afford

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<v Speaker 2>to track all that. If you try to do that,

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<v Speaker 2>you will run out of time, You'll run out of energy,

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<v Speaker 2>You'll be eaten and dead in no time. And so

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<v Speaker 2>I think that what we have in at least at

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<v Speaker 2>least in biological evolution, is an incredible pressure to coarse grain,

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<v Speaker 2>that is, to look out into the world and to

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<v Speaker 2>group inputs and sensations and stimuli and observations that you make,

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<v Speaker 2>to group them into categories, and to try to understand

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<v Speaker 2>your world by reducing its complexity, and by trying to

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<v Speaker 2>make models of the world that have these large things

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<v Speaker 2>in it that are themselves agents. You know that do things,

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<v Speaker 2>and that you can then make decisions about what they

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<v Speaker 2>do and you don't have to pay attention to all

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<v Speaker 2>the micro states. If you're going to do that, you

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<v Speaker 2>fundamentally need a way to make models of persistent things.

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<v Speaker 2>You have to have some way of saying that this

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<v Speaker 2>is an object I need to stay away from. More conversely,

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<v Speaker 2>this something I need to approach, or this is something

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<v Speaker 2>I need to recognize meanwhile, of course, so let's just

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<v Speaker 2>look at vision, you know. For example, So you have

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<v Speaker 2>these these pixels and impacting onto your retina, these these

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<v Speaker 2>visual stimuli, and depending on how you're looking at something,

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<v Speaker 2>the details will be completely different, the lighting will be different,

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<v Speaker 2>the motion, the way that it's angled. But your job

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<v Speaker 2>as a successful cognitive system is to recognize as well

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<v Speaker 2>as possible that this is always the same thing, right

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<v Speaker 2>that you can, despite the fact that it's now just shifted,

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<v Speaker 2>tinted green or whatever it is, that that hey, wait

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<v Speaker 2>a minute, I recognize it. I know what this is.

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<v Speaker 2>And so I think from the very beginning to be

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<v Speaker 2>a successful being that can survive in a world war,

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<v Speaker 2>time and energy are extremely precious. These are precious resources.

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<v Speaker 2>You have to get good at noticing and in fact

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<v Speaker 2>magnifying invariance. You know, things that stay the same. And

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<v Speaker 2>then I think you turn that on yourself and you say,

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<v Speaker 2>wait a minute, I am also an agent that does things.

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<v Speaker 2>And I don't mean consciously, and we don't do this consciously.

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<v Speaker 2>But every system, every living system, I think, has an

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<v Speaker 2>internal self model, and part of that model is to

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<v Speaker 2>recognize you as a persistent thing even though things change.

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<v Speaker 2>And then and then you know, those those of us

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<v Speaker 2>that have self consciousness then have a have a story

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<v Speaker 2>that we tell ourselves about being a persistent thing as

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<v Speaker 2>opposed to I think what we much more close to

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<v Speaker 2>what we really are, which is a flowing process.

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<v Speaker 1>So so we all walk through life and we have

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<v Speaker 1>our notion of self, and we observe the selves in

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<v Speaker 1>others that we love, and we try to figure out

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<v Speaker 1>what this is all about. You have a very cool approach,

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<v Speaker 1>which is that you think about diverse intelligences. Tell us

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<v Speaker 1>what that term means.

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<v Speaker 2>Yeah, diverse intelligence is the name of a of a

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<v Speaker 2>of a feel that on the one hand is the

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<v Speaker 2>emerging now and it's a very exciting kind of feel.

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<v Speaker 2>On the other hand, this is a collection of ideas

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<v Speaker 2>that have really been around for a very long time.

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<v Speaker 2>And it goes back to the efforts of trying to

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<v Speaker 2>understand what what do we actually mean by intelligence, by minds,

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<v Speaker 2>by cognition, by all all these kinds of all these

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<v Speaker 2>kinds of terms. And we have familiar examples of them

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<v Speaker 2>in brainy animals and and and you know, in ourselves.

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<v Speaker 2>But actually the key thing that that we need to

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<v Speaker 2>understand is that all of us, at one point, both

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<v Speaker 2>on an evolutionary scale and on a developmental scale, we

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<v Speaker 2>were all a single sell once. You know, at one

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<v Speaker 2>point we were a little blob of quies and cytoplasm

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<v Speaker 2>and unfertilized noocyte. And we would look at that and

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<v Speaker 2>we would say, well, there's there's a little a little

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<v Speaker 2>blob of chemicals that obeys physics and chemistry. And then

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<v Speaker 2>at some point we have something that we would say

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<v Speaker 2>has an inner perspective, It has a mind, it has preferences,

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<v Speaker 2>it has goals, it has memories, and and you know

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<v Speaker 2>it and it has a full blown self conscious kind

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<v Speaker 2>of meta cognition and so on. Now, how did we

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<v Speaker 2>get there? Right? Because we started out you know, this

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<v Speaker 2>this amazing journey from physics to mind. You know, you

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<v Speaker 2>start off with with a little blob of chemistry, and

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<v Speaker 2>then eventually here we are, so diverse. Intelligence is is

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<v Speaker 2>I think, is predicated on the on the idea that

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<v Speaker 2>we need to understand how it is that minds are

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<v Speaker 2>embodied in the physical world, and that by understanding that

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<v Speaker 2>we emerge slowly and gradually, this is we are not.

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<v Speaker 2>You know, there's no there's no magical category called human

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<v Speaker 2>that suddenly snaps into existence at some particular moment of

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<v Speaker 2>embryonic development. But this is a slow, gradual process. It's

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<v Speaker 2>it's an effort to understand what those processes are that

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<v Speaker 2>give rise to collective intelligence. And by the way, all intelligence,

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<v Speaker 2>I think is collective intelligence because all of us are

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<v Speaker 2>made of parts, and we have to understand how the

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<v Speaker 2>competencies of those parts give rise to whatever the larger

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<v Speaker 2>scale system is capable of doing. And as soon as

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<v Speaker 2>as soon as you frame the problem that way, to

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<v Speaker 2>understand what is it that the components are doing to

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<v Speaker 2>scale that cognition from the competencies of a single cell

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<v Speaker 2>to that of an animal or a human, then then

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<v Speaker 2>immediately you start to ask yourself, okay, so not only

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<v Speaker 2>is there a history going backwards where we see increasingly

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<v Speaker 2>simpler forms and ask what is their intelligence like? But

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<v Speaker 2>then we can really try to shed some of the

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<v Speaker 2>limitations that we're given to us by our evolutionary firmware

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<v Speaker 2>that make it easy for us to recognize, you know,

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<v Speaker 2>large intelligence, large large, medium sized objects moving at medium

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<v Speaker 2>speeds through three dimensional space, and we so, okay, that's

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<v Speaker 2>an intelligent animal doing whatever it's doing. But to learn

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<v Speaker 2>to recognize intelligence and unfamiliar guises, you know, what other

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<v Speaker 2>spaces can intelligence be operating and what what else can

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<v Speaker 2>it be made of? What other processes give rise to

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<v Speaker 2>the scale up of intelligence. That's diverse intelligence. It's the

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<v Speaker 2>broad attempt to understand intelligence as it can be. What's

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<v Speaker 2>an example of that?

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<v Speaker 1>For example, ants in a colony understanding that as an

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<v Speaker 1>intelligence system where they're laying down memories in particular ways.

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<v Speaker 1>It's very different than the way we think about the

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<v Speaker 1>human brain. Is that an example?

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<v Speaker 2>Yes, I'll give you a few examples and get the

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<v Speaker 2>sort of progressively progressively weirder with them. Traditional collective intelligence

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<v Speaker 2>is like ants and beehives and termite colonies and blocks

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<v Speaker 2>of birds and things like that. Those are typical collective intelligence.

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<v Speaker 2>They are what our Carsole calls liquid brains because they're

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<v Speaker 2>moving around relative to each other. Our neurons tend to

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<v Speaker 2>stand still relative to each other. And yet we too

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<v Speaker 2>are a collective intelligence, right, We are a pile of

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<v Speaker 2>neurons and other cells that work together to give rise

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<v Speaker 2>to an emergent being with memories and preferences and goals

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<v Speaker 2>that don't belong to any of the individual cells. So,

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<v Speaker 2>no matter what you are, whether you're a collection of

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<v Speaker 2>neurons or your collection of birds or of termites or

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<v Speaker 2>anything like that, what you need is a kind of

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<v Speaker 2>cognitive glue. You need these policies that are implemented by

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<v Speaker 2>the pieces that allow the collective to be more than

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<v Speaker 2>the sum of its parts in relevant ways. And so

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<v Speaker 2>if we define intelligence as problem solving competencies in some space,

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<v Speaker 2>so the ability to and so this is kind of

0:12:51.120 --> 0:12:54.560
<v Speaker 2>William James's definition of intelligence, same goal by different meats, right,

0:12:54.600 --> 0:12:57.240
<v Speaker 2>the ability to navigate some space to reach your objective

0:12:57.640 --> 0:13:02.000
<v Speaker 2>and do so despite novel despite perturbations, and and so on.

0:13:02.440 --> 0:13:06.319
<v Speaker 2>Then we can get we can get progressively more inclusive

0:13:06.320 --> 0:13:08.800
<v Speaker 2>with this. We can say, okay, so we have we

0:13:08.840 --> 0:13:13.240
<v Speaker 2>have animals that solve problems. We have unfamiliar things like

0:13:13.280 --> 0:13:16.040
<v Speaker 2>slime molds, right, so so so there are people including us,

0:13:16.040 --> 0:13:20.080
<v Speaker 2>who study slime mold behavior, in slime mold learning and

0:13:20.120 --> 0:13:22.960
<v Speaker 2>things like that. So slime molds are a very unusual organism.

0:13:23.040 --> 0:13:25.040
<v Speaker 2>It's a single cell. It can be quite large, and

0:13:25.120 --> 0:13:27.960
<v Speaker 2>yet it can it can solve all kinds of problems.

0:13:28.040 --> 0:13:32.280
<v Speaker 2>People have studied memory and learning in in bacteria, in

0:13:32.600 --> 0:13:36.000
<v Speaker 2>unicellular organisms and plants, and and then you can get

0:13:36.040 --> 0:13:39.520
<v Speaker 2>then you can get you know, even even more sort

0:13:39.559 --> 0:13:41.400
<v Speaker 2>of broad with this, and you can ask, well, what

0:13:41.480 --> 0:13:44.160
<v Speaker 2>happens beyond three dimensional space? For example, the cells that

0:13:44.200 --> 0:13:46.360
<v Speaker 2>make up our bodies and our and our tissues and

0:13:46.400 --> 0:13:50.600
<v Speaker 2>our organs, they operate in physiological state space, so the

0:13:50.640 --> 0:13:54.080
<v Speaker 2>space of all possible physiological conditions. They operate in gene

0:13:54.120 --> 0:13:59.360
<v Speaker 2>expression space. Embryonic and regenerative cells operate in anatomical space.

0:13:59.480 --> 0:14:01.800
<v Speaker 2>They have to navigate from whatever shape they have now

0:14:01.880 --> 0:14:05.360
<v Speaker 2>to some kind of complex organ structure. And in all

0:14:05.360 --> 0:14:07.679
<v Speaker 2>of these spaces you can see if you look for

0:14:07.720 --> 0:14:11.000
<v Speaker 2>them using the techniques of behavioral science, you can find

0:14:11.000 --> 0:14:13.439
<v Speaker 2>them solving problems. You can find them getting to their

0:14:13.440 --> 0:14:16.640
<v Speaker 2>goal in very creative ways despite various problems So that's

0:14:16.720 --> 0:14:19.040
<v Speaker 2>kind of the range of the diverse intelligences. And then

0:14:19.040 --> 0:14:22.400
<v Speaker 2>beyond that you have embodied robotics, and you have maybe

0:14:22.400 --> 0:14:27.480
<v Speaker 2>software intelligent agents, and maybe someday exobiological beings and so on.

0:14:28.760 --> 0:14:32.280
<v Speaker 1>Okay, so the challenge is that everything's changing all the

0:14:32.360 --> 0:14:36.640
<v Speaker 1>time in our brains and all these other biological systems

0:14:36.640 --> 0:14:40.120
<v Speaker 1>and colonies whatever, things are changing all the time. Cells

0:14:40.160 --> 0:14:45.840
<v Speaker 1>are dying or aging or getting mutations. And yet somehow,

0:14:45.920 --> 0:14:50.480
<v Speaker 1>when it comes to memory of oneself, we tend to

0:14:50.520 --> 0:14:53.120
<v Speaker 1>have some sort of memory. It's not perfect, it only

0:14:53.160 --> 0:14:56.120
<v Speaker 1>has a few details, things like that, but we retain

0:14:56.240 --> 0:15:00.720
<v Speaker 1>this memory through time. Now, what is your framework for

0:15:00.840 --> 0:15:01.640
<v Speaker 1>thinking about that?

0:15:02.600 --> 0:15:06.400
<v Speaker 2>Yeah, I'm not sure we retain memory through time as

0:15:06.440 --> 0:15:10.440
<v Speaker 2>much as we reconstruct memory through time. And of course

0:15:10.600 --> 0:15:12.960
<v Speaker 2>there's a lot of human neuroscience being done about this.

0:15:12.960 --> 0:15:14.280
<v Speaker 2>But I want to take a step back and give

0:15:14.320 --> 0:15:17.480
<v Speaker 2>you another example that kind of drives my thinking on this.

0:15:17.720 --> 0:15:20.880
<v Speaker 2>Consider what happens from a butterfly to a caterpillar. So

0:15:21.040 --> 0:15:23.520
<v Speaker 2>in the caterpillar, you have the soft bodied creature that

0:15:23.560 --> 0:15:26.160
<v Speaker 2>lives in basically a two dimensional world where it crawls

0:15:26.160 --> 0:15:29.600
<v Speaker 2>around and eats leaves. Now, one thing that it has

0:15:29.640 --> 0:15:31.280
<v Speaker 2>to do is that has to turn into a butterfly.

0:15:31.440 --> 0:15:36.240
<v Speaker 2>During that process of metamorphosis, its brain is massively rebuilt.

0:15:36.320 --> 0:15:38.920
<v Speaker 2>Many of the cells die, all the connections are broken,

0:15:38.960 --> 0:15:42.080
<v Speaker 2>it's completely refactored, and you get a new brain suitable

0:15:42.080 --> 0:15:45.160
<v Speaker 2>for driving a now hard bodied kind of vehicle, completely

0:15:45.160 --> 0:15:48.640
<v Speaker 2>different controller you need for that. And now it flies

0:15:48.760 --> 0:15:51.440
<v Speaker 2>and it lives in the three dimensional world and so on.

0:15:51.960 --> 0:15:55.800
<v Speaker 2>Now it turns out that if you train the caterpillar

0:15:57.040 --> 0:16:00.000
<v Speaker 2>the let's say you train it to associate a specific

0:16:00.080 --> 0:16:02.640
<v Speaker 2>color to a specific leaf that it wants to eat,

0:16:02.840 --> 0:16:05.840
<v Speaker 2>what you will find is that the butterfly, despite having

0:16:05.880 --> 0:16:09.240
<v Speaker 2>a totally refactored brain, will remember that information. And for

0:16:09.360 --> 0:16:11.520
<v Speaker 2>years I thought the amazing thing here was how do

0:16:11.560 --> 0:16:14.520
<v Speaker 2>you hold on to information when your information medium is

0:16:14.520 --> 0:16:17.040
<v Speaker 2>being totally ripped apart and refactored. Right, we don't, you know,

0:16:17.040 --> 0:16:19.520
<v Speaker 2>our computer technology doesn't doesn't like that. We don't have

0:16:19.560 --> 0:16:23.360
<v Speaker 2>anything that has that that robustness to it. But if

0:16:23.360 --> 0:16:26.680
<v Speaker 2>you think about it more, what turns out is that

0:16:27.120 --> 0:16:29.640
<v Speaker 2>the amazing thing is not holding onto the memory because

0:16:29.640 --> 0:16:33.440
<v Speaker 2>actually the memories, the exact memories of the caterpillar, are

0:16:33.440 --> 0:16:36.080
<v Speaker 2>of no use to the butterfly whatsoever, because it doesn't

0:16:36.080 --> 0:16:38.560
<v Speaker 2>move the same way. It doesn't want the leaves a

0:16:38.640 --> 0:16:42.400
<v Speaker 2>drinks nectar, right, And so just holding onto that memory

0:16:42.520 --> 0:16:44.920
<v Speaker 2>is of no use. What you need is to actually

0:16:45.680 --> 0:16:49.680
<v Speaker 2>transform and remap that memory into a completely novel context

0:16:49.920 --> 0:16:53.360
<v Speaker 2>where it's like not leaves but food for example. Right,

0:16:53.400 --> 0:16:55.240
<v Speaker 2>So you have to generalize a little bit, and you

0:16:55.280 --> 0:16:57.320
<v Speaker 2>have to now remap it on a different on a

0:16:57.320 --> 0:17:01.080
<v Speaker 2>different controller. And you know, numerous people who have done

0:17:01.120 --> 0:17:04.280
<v Speaker 2>experiments in memory transfer, most recently David Landsman and others

0:17:04.480 --> 0:17:07.400
<v Speaker 2>show that that it's it's really wild how you can

0:17:07.440 --> 0:17:10.879
<v Speaker 2>move either tissues or extra extracts let's say, RNA extracts

0:17:10.960 --> 0:17:14.480
<v Speaker 2>or whatever, and introduce them into a new into a

0:17:14.520 --> 0:17:16.959
<v Speaker 2>new creature and and have that creature like take on

0:17:17.040 --> 0:17:18.639
<v Speaker 2>that that initial learning.

0:17:18.960 --> 0:17:20.480
<v Speaker 1>So let me interrupt for a second. So tell us

0:17:20.480 --> 0:17:24.800
<v Speaker 1>about David Landsman's experiments in these sea slugs. Yeah, Well,

0:17:24.840 --> 0:17:30.120
<v Speaker 1>specifically in David's work, what he was doing is training

0:17:30.119 --> 0:17:33.320
<v Speaker 1>these c slugs to a particular to a particular task.

0:17:33.359 --> 0:17:36.160
<v Speaker 1>I mean it was a simple, you know, simple reflex

0:17:36.560 --> 0:17:40.800
<v Speaker 1>and extracting RNA from from the brain. Because the hypothesis

0:17:40.880 --> 0:17:42.840
<v Speaker 1>was that memory is stored in some way in this

0:17:42.960 --> 0:17:46.600
<v Speaker 1>in this medium of RNA, and then he was injecting

0:17:46.600 --> 0:17:48.760
<v Speaker 1>it into a naive animal and showing that they now

0:17:48.880 --> 0:17:51.880
<v Speaker 1>have you know, they show a recall of that information

0:17:52.119 --> 0:17:54.160
<v Speaker 1>I mean to me, I mean, it's it's a fabulous

0:17:54.200 --> 0:17:54.720
<v Speaker 1>body of work.

0:17:55.240 --> 0:17:57.640
<v Speaker 2>To me. One of the most interesting things about it

0:17:57.680 --> 0:18:00.280
<v Speaker 2>is that when you've got this RNA, you don't have

0:18:00.359 --> 0:18:03.520
<v Speaker 2>to go put it exactly in the right neuron where

0:18:03.600 --> 0:18:05.679
<v Speaker 2>it was supposed to be, you know, and that you

0:18:05.840 --> 0:18:09.000
<v Speaker 2>just kind of inject it somewhere in the brain of

0:18:09.080 --> 0:18:12.080
<v Speaker 2>a second of a second sea slug exactly of the

0:18:12.119 --> 0:18:14.560
<v Speaker 2>recipient right of the host seasug, and it somehow gets

0:18:14.560 --> 0:18:17.639
<v Speaker 2>taken out. And that's that's a that's a theme that

0:18:17.640 --> 0:18:20.679
<v Speaker 2>that is like central to all this because what I

0:18:20.680 --> 0:18:22.920
<v Speaker 2>think this is, this is telling us is so now,

0:18:22.960 --> 0:18:25.040
<v Speaker 2>so now let's let's walk into this from from the

0:18:25.040 --> 0:18:28.600
<v Speaker 2>other end. Whatever you are, human or anything else, you

0:18:28.640 --> 0:18:31.080
<v Speaker 2>don't have access to the past. What you have access

0:18:31.119 --> 0:18:33.439
<v Speaker 2>to is the end grams, the memory traces that the

0:18:33.480 --> 0:18:36.240
<v Speaker 2>past has left in your brain or body or wherever

0:18:36.480 --> 0:18:39.000
<v Speaker 2>that were formed by past experience. And so what you

0:18:39.080 --> 0:18:41.399
<v Speaker 2>now have to do is to at any given moment

0:18:41.840 --> 0:18:43.399
<v Speaker 2>and it's you know, these moments. I don't know how

0:18:43.400 --> 0:18:46.080
<v Speaker 2>many milliseconds they are, but but some some number of milliseconds.

0:18:46.320 --> 0:18:50.520
<v Speaker 2>You have to reconstruct that memory to be meaningful to

0:18:50.600 --> 0:18:53.840
<v Speaker 2>you now because you don't know what it used to mean.

0:18:53.880 --> 0:18:55.399
<v Speaker 2>This is you have to do this on the on

0:18:55.480 --> 0:18:57.760
<v Speaker 2>the fly. And I think there's a lot of good

0:18:57.760 --> 0:19:00.280
<v Speaker 2>neuroscience showing how plastic these memories are and how there

0:19:00.400 --> 0:19:03.480
<v Speaker 2>how you know, even even recall of the memories means

0:19:03.480 --> 0:19:07.240
<v Speaker 2>they're getting changed. There's no non destructive read. Accessing these

0:19:07.240 --> 0:19:09.880
<v Speaker 2>memories changes them and and and so so the way

0:19:09.920 --> 0:19:12.680
<v Speaker 2>I think about this is as an architecture in the

0:19:12.720 --> 0:19:14.679
<v Speaker 2>shape of a kind of bow tie. And this is

0:19:14.920 --> 0:19:17.280
<v Speaker 2>for the computer science listeners. You might imagine like a

0:19:17.400 --> 0:19:21.639
<v Speaker 2>like a an auto encoder architecture where there's a funnel

0:19:21.680 --> 0:19:25.280
<v Speaker 2>on the left side which receives the primary experiences, the

0:19:25.359 --> 0:19:28.560
<v Speaker 2>raw data that come in the sense impressions, and that

0:19:28.840 --> 0:19:31.080
<v Speaker 2>the process of learning has to and and and this

0:19:31.160 --> 0:19:36.040
<v Speaker 2>is fundamental to intelligence, is abstracting from individual instances of

0:19:36.080 --> 0:19:38.800
<v Speaker 2>things you experience to a rule, to some kind of

0:19:39.560 --> 0:19:41.480
<v Speaker 2>some kind of pattern, and it's the pattern that you

0:19:41.520 --> 0:19:45.200
<v Speaker 2>remember it, so you compress all those experiences, you throw

0:19:45.200 --> 0:19:47.720
<v Speaker 2>away all the irrelevant details and you form a memory.

0:19:47.760 --> 0:19:50.280
<v Speaker 2>You store that in some sort of enngram. Uh. You know.

0:19:50.560 --> 0:19:53.800
<v Speaker 2>Sometimes people think of this as synaptic modifications. Sometimes other

0:19:53.840 --> 0:19:55.560
<v Speaker 2>people think it's in the RNA or in a cyber

0:19:55.600 --> 0:19:59.000
<v Speaker 2>skeleton wherever. So so you store this but now but

0:19:59.080 --> 0:20:02.160
<v Speaker 2>now here comes here comes the really interesting part. When

0:20:02.200 --> 0:20:04.840
<v Speaker 2>you need to recall this. You have to know, here

0:20:04.880 --> 0:20:06.640
<v Speaker 2>comes the right side of that, on the right side

0:20:06.680 --> 0:20:09.040
<v Speaker 2>of that bow tie. You have to sort of reinflate

0:20:09.080 --> 0:20:13.320
<v Speaker 2>that compressed memory. And because you've lost all kinds of information,

0:20:13.800 --> 0:20:18.679
<v Speaker 2>this process, this, this recall process is creative because you

0:20:18.720 --> 0:20:22.240
<v Speaker 2>don't have all the details that were there, and nor

0:20:22.320 --> 0:20:24.960
<v Speaker 2>can you really be sure at a later time what

0:20:25.000 --> 0:20:27.639
<v Speaker 2>the meaning was to your past self. In other words,

0:20:27.800 --> 0:20:31.200
<v Speaker 2>I also think of memories as literally messages from your

0:20:31.240 --> 0:20:33.439
<v Speaker 2>past self. So I tend to think of memory and

0:20:33.480 --> 0:20:36.479
<v Speaker 2>recall as communication events. And it's just you know, it's

0:20:36.480 --> 0:20:38.440
<v Speaker 2>a communication with a past version of you, but it's

0:20:38.440 --> 0:20:40.880
<v Speaker 2>the same. They sent you a message. It was encrypted

0:20:40.960 --> 0:20:44.960
<v Speaker 2>and compressed in these n grams, and then you try

0:20:44.960 --> 0:20:47.360
<v Speaker 2>to reinflate it. And your goal at any given time

0:20:47.760 --> 0:20:51.200
<v Speaker 2>is not to have any kind of allegiance to what

0:20:51.280 --> 0:20:54.880
<v Speaker 2>the memory meant before. Your goal now is to reinterpret

0:20:54.880 --> 0:20:57.040
<v Speaker 2>it the way the butterfly does in whatever is the

0:20:57.080 --> 0:21:01.760
<v Speaker 2>most optimal adaptive way that makes sense. Now, so this really,

0:21:01.800 --> 0:21:03.480
<v Speaker 2>you know, the first part is kind of algorithmic, which

0:21:03.520 --> 0:21:06.160
<v Speaker 2>is the compression. But now here comes a creative process.

0:21:06.200 --> 0:21:09.000
<v Speaker 2>It's not really deductive. It's a creative process where you

0:21:09.040 --> 0:21:11.920
<v Speaker 2>take that prompt. It's more of a prompt than anything else,

0:21:11.920 --> 0:21:13.880
<v Speaker 2>and you say, okay, what does this mean to me? Now?

0:21:13.880 --> 0:21:17.680
<v Speaker 2>How can I incorporate this into my current constantly evolving

0:21:17.720 --> 0:21:19.600
<v Speaker 2>model of the self, of the outside world and on.

0:21:19.760 --> 0:21:22.000
<v Speaker 2>So it's very much And this goes on, goes on

0:21:22.080 --> 0:21:26.080
<v Speaker 2>all the time. And this is consistent with the plasticity

0:21:26.119 --> 0:21:30.160
<v Speaker 2>of memories. It's consistent with confabulation, which has been seen

0:21:30.200 --> 0:21:32.879
<v Speaker 2>in all kinds of experiments with human subjects, you know,

0:21:33.000 --> 0:21:33.879
<v Speaker 2>split brain and so on.

0:21:33.960 --> 0:21:36.800
<v Speaker 1>Wait, let's take a second to talk about confabulation. So

0:21:37.640 --> 0:21:41.280
<v Speaker 1>this is where brains seem to make something up. You know,

0:21:41.320 --> 0:21:44.240
<v Speaker 1>there are these experiments, for example, the cutaneous rabit illusion.

0:21:44.240 --> 0:21:47.280
<v Speaker 1>If I tap you twice somewhere on your forearm, and

0:21:47.280 --> 0:21:49.439
<v Speaker 1>then I tap you a third time. Let's say, in

0:21:49.480 --> 0:21:53.120
<v Speaker 1>a different location, you will feel like you felt three taps,

0:21:53.600 --> 0:21:56.160
<v Speaker 1>that we're all that we're moving in the direction. Even

0:21:56.200 --> 0:21:58.639
<v Speaker 1>though the second tap was in the same spot, you

0:21:58.760 --> 0:22:01.679
<v Speaker 1>feel like you felt it on the way to the

0:22:01.720 --> 0:22:05.640
<v Speaker 1>third one. This is one example of lots of confabulation

0:22:05.680 --> 0:22:09.879
<v Speaker 1>where the brain is retrospectively making things up. Now, the

0:22:09.960 --> 0:22:15.280
<v Speaker 1>interesting part is we look at confabulation generally as something bad.

0:22:15.359 --> 0:22:20.000
<v Speaker 1>For example, with large language models, we talk about hallucinations.

0:22:20.080 --> 0:22:22.760
<v Speaker 1>But there is another way to look at this, which

0:22:22.840 --> 0:22:27.600
<v Speaker 1>is as hypothesis, as generating new creative ideas. So tell

0:22:27.680 --> 0:22:30.520
<v Speaker 1>us how that fits into the way you think about confabulation.

0:22:31.040 --> 0:22:34.440
<v Speaker 2>Yeah, I mean so, here's another another example of confabulation

0:22:34.600 --> 0:22:38.760
<v Speaker 2>that is similar to what I'm talking about. Two examples.

0:22:38.800 --> 0:22:43.240
<v Speaker 2>One is there was a patient that had an electrode

0:22:43.240 --> 0:22:45.800
<v Speaker 2>that was placed in their brain for I think aplepsy

0:22:45.920 --> 0:22:49.000
<v Speaker 2>was the idea, and it happened to land in a

0:22:49.040 --> 0:22:51.040
<v Speaker 2>region of the brain that when you stimulate that electrode,

0:22:51.040 --> 0:22:53.480
<v Speaker 2>it makes them laugh, makes the mouth laugh. So the

0:22:53.520 --> 0:22:56.080
<v Speaker 2>person will be sitting there thinking about something serious. You

0:22:56.119 --> 0:22:58.280
<v Speaker 2>can see and there's a video of this I saw somewhere.

0:22:58.400 --> 0:23:01.399
<v Speaker 2>The scientist pushes the button. They start laughing, and then

0:23:01.400 --> 0:23:04.040
<v Speaker 2>you ask them why are you laughing, And the answer

0:23:04.119 --> 0:23:05.840
<v Speaker 2>is never, Gee, I don't know. I was sitting here

0:23:05.840 --> 0:23:08.040
<v Speaker 2>thinking about something serious and then my mouth started laughing.

0:23:08.080 --> 0:23:10.520
<v Speaker 2>That's never the answer you get. The answer you get is, well,

0:23:10.760 --> 0:23:12.360
<v Speaker 2>I thought of something funny. I thought of a joke,

0:23:12.760 --> 0:23:14.919
<v Speaker 2>And you get the same thing out of split brain patients.

0:23:14.960 --> 0:23:16.919
<v Speaker 2>When the one hemisphere causes the other side of the

0:23:16.920 --> 0:23:19.400
<v Speaker 2>body to do something that the language hemisphere doesn't understand,

0:23:19.880 --> 0:23:21.600
<v Speaker 2>what they usually do is make up a story about

0:23:21.640 --> 0:23:23.760
<v Speaker 2>it on the spot, and they don't know, you know, consciously,

0:23:23.800 --> 0:23:26.080
<v Speaker 2>they won't report that they're making up a story. So

0:23:26.119 --> 0:23:29.360
<v Speaker 2>I think what we mean by confabulation is really a

0:23:29.359 --> 0:23:33.919
<v Speaker 2>fundamental skill and necessity of sense making of your world.

0:23:34.119 --> 0:23:35.760
<v Speaker 2>You have a model of the outside world. You have

0:23:35.800 --> 0:23:37.399
<v Speaker 2>a model of yourself and what you are and how

0:23:37.440 --> 0:23:41.440
<v Speaker 2>you behave and sometimes that model gets updated, but sometimes

0:23:41.440 --> 0:23:45.320
<v Speaker 2>you just incorporate other world events that the go on.

0:23:45.359 --> 0:23:47.439
<v Speaker 2>You incorporate them into that model and you interpret them

0:23:47.480 --> 0:23:49.679
<v Speaker 2>in a way that makes sense to you. Now, you know,

0:23:49.720 --> 0:23:53.040
<v Speaker 2>and something similar to what you said about the tapping,

0:23:53.040 --> 0:23:54.840
<v Speaker 2>you've seen the rubber hand illusion.

0:23:55.080 --> 0:23:57.560
<v Speaker 1>Yeah, in the rubber hand illusion, your hand Let's say

0:23:57.560 --> 0:23:59.720
<v Speaker 1>your left hand is covered up. You're not seeing it,

0:24:00.040 --> 0:24:03.639
<v Speaker 1>but you're seeing a rubber hand, and you see somebody

0:24:04.640 --> 0:24:08.000
<v Speaker 1>stroking that rubber hand, and every time that rubber hand

0:24:08.040 --> 0:24:10.760
<v Speaker 1>gets stroked, you feel a stroke on your hand too.

0:24:10.880 --> 0:24:13.600
<v Speaker 1>The person is stroking them both at the same time,

0:24:13.640 --> 0:24:16.320
<v Speaker 1>even though you can't see your own hand, and then

0:24:16.680 --> 0:24:20.080
<v Speaker 1>they hit that hand with a hammer and you withdraw

0:24:20.640 --> 0:24:23.200
<v Speaker 1>in terror because it feels like it's become your hand.

0:24:23.680 --> 0:24:26.680
<v Speaker 2>Yeah. So, to me, the amazing thing about that that

0:24:26.920 --> 0:24:30.440
<v Speaker 2>is the plasticity. Look, we've been tetrapods for I think

0:24:30.480 --> 0:24:33.560
<v Speaker 2>almost four hundred million years something like that, and so

0:24:34.080 --> 0:24:37.400
<v Speaker 2>for millions of years we had a brain that knows

0:24:37.440 --> 0:24:40.720
<v Speaker 2>exactly how many limbs you have, and within what seven

0:24:40.800 --> 0:24:43.800
<v Speaker 2>minutes of new experience, you now have decided that you

0:24:43.800 --> 0:25:00.119
<v Speaker 2>have this extra hand. It's the plasticity is crazy.

0:25:03.160 --> 0:25:05.760
<v Speaker 1>By the way, One thing that has been extraordinary on

0:25:05.800 --> 0:25:09.640
<v Speaker 1>this is experiments in VR, where, for example, you give

0:25:09.680 --> 0:25:12.280
<v Speaker 1>somebody a third arm that comes out of their chest,

0:25:12.800 --> 0:25:16.040
<v Speaker 1>and you control your natural two arms with two controllers,

0:25:16.040 --> 0:25:18.080
<v Speaker 1>and you can see your arms and you also see

0:25:18.119 --> 0:25:22.679
<v Speaker 1>this third arm which you control by changing your wrist orientations,

0:25:22.720 --> 0:25:24.879
<v Speaker 1>and that can control the third arm, and within a

0:25:24.920 --> 0:25:28.080
<v Speaker 1>few minutes people can get very good at controlling this

0:25:28.200 --> 0:25:29.960
<v Speaker 1>third arm. And you know they're doing a game where

0:25:30.000 --> 0:25:33.439
<v Speaker 1>you pick up boxes of certain colors, and yes, so

0:25:33.480 --> 0:25:38.000
<v Speaker 1>you can add limbs and subtract limbs readily. The homunculus,

0:25:38.080 --> 0:25:41.399
<v Speaker 1>the little model of your body, is totally flexible in

0:25:41.440 --> 0:25:41.720
<v Speaker 1>that way.

0:25:42.640 --> 0:25:48.400
<v Speaker 2>That right there, the ability to adapt to novel situations

0:25:48.440 --> 0:25:51.240
<v Speaker 2>in this way that can fabulation to tell a story

0:25:51.280 --> 0:25:53.960
<v Speaker 2>that makes sense, not that it's necessarily true relative to

0:25:54.000 --> 0:25:57.320
<v Speaker 2>what your past was giving you, but to what makes

0:25:57.359 --> 0:26:00.600
<v Speaker 2>sense for you now is fundamental to buyology. And I

0:26:00.600 --> 0:26:04.040
<v Speaker 2>think biology doesn't preserve the fidelity of memories. It preserves

0:26:04.040 --> 0:26:07.399
<v Speaker 2>the salience of memories. It tries to remap them in

0:26:07.480 --> 0:26:09.320
<v Speaker 2>the way that it makes sense to you now, not

0:26:09.359 --> 0:26:12.280
<v Speaker 2>necessarily to what it meant. And I think that this

0:26:12.320 --> 0:26:15.679
<v Speaker 2>is fundamentally an intelligence ratchet for life. And here's what

0:26:15.720 --> 0:26:18.800
<v Speaker 2>I mean by that. Let's look instead of the memories

0:26:18.840 --> 0:26:20.880
<v Speaker 2>of a single of a single human or animal, Let's

0:26:20.880 --> 0:26:23.840
<v Speaker 2>look on an evolutionary timescale. You come into the world

0:26:23.840 --> 0:26:26.000
<v Speaker 2>as an embry Oh, You've been given all of this

0:26:26.359 --> 0:26:30.320
<v Speaker 2>genetic and cytoplasmic and other kinds of information that are

0:26:30.440 --> 0:26:35.159
<v Speaker 2>the accumulated really the memories of your of your lineage agent, right,

0:26:35.200 --> 0:26:37.320
<v Speaker 2>the lineage that's been through that's been through the evolution

0:26:37.680 --> 0:26:41.840
<v Speaker 2>and has accumulated all this useful information. There are some

0:26:42.000 --> 0:26:45.400
<v Speaker 2>animals and at least as far as we know, maybe

0:26:45.400 --> 0:26:49.119
<v Speaker 2>nematodes like C. Elegance, that are extremely hardwired. We know

0:26:49.160 --> 0:26:50.720
<v Speaker 2>exactly how many cells are going to have, all the

0:26:50.760 --> 0:26:53.400
<v Speaker 2>cells of the same position that's determined by lineage. They're

0:26:53.520 --> 0:26:57.840
<v Speaker 2>very hardwired. But the majority of living forms aren't like that.

0:26:58.240 --> 0:27:03.159
<v Speaker 2>They take that information and they reinterpret it in novel ways.

0:27:03.240 --> 0:27:05.520
<v Speaker 2>I think that now now in normal development, we always

0:27:05.560 --> 0:27:07.280
<v Speaker 2>see the same thing happening, so we kind of assume

0:27:07.359 --> 0:27:09.920
<v Speaker 2>that it's some kind of hardwired mechanical process, but it's

0:27:09.960 --> 0:27:12.240
<v Speaker 2>not that at all. For this reason, we can take

0:27:12.320 --> 0:27:14.600
<v Speaker 2>we can make a tadpole which has no eyes in

0:27:14.640 --> 0:27:16.280
<v Speaker 2>the head, but it has an eye on its tail,

0:27:16.560 --> 0:27:19.240
<v Speaker 2>and that those those animals can see right out of

0:27:19.280 --> 0:27:21.320
<v Speaker 2>the box. They don't need new rounds of selection or

0:27:21.359 --> 0:27:24.280
<v Speaker 2>evolution or adaptation or any of that. They can see immediately.

0:27:24.640 --> 0:27:27.440
<v Speaker 2>We can take cells from an early frog embryo and

0:27:27.560 --> 0:27:31.320
<v Speaker 2>they become zenobots, and they do interesting things. There have

0:27:31.440 --> 0:27:34.399
<v Speaker 2>never been any zenobots. There's never been any selection to

0:27:34.480 --> 0:27:37.760
<v Speaker 2>be a good xenobot, right, so that plasticity can you

0:27:37.800 --> 0:27:41.320
<v Speaker 2>can you explain to the audience with zenebot is sure? Yeah,

0:27:41.400 --> 0:27:43.600
<v Speaker 2>So so we make we make in our group, we

0:27:43.640 --> 0:27:47.680
<v Speaker 2>make zenobots and anthrobots. These are these are living systems

0:27:47.760 --> 0:27:50.560
<v Speaker 2>that we call them biobots because we use them for,

0:27:50.800 --> 0:27:53.600
<v Speaker 2>among other things, bio robotics kinds of applications. They are

0:27:53.920 --> 0:27:57.720
<v Speaker 2>living uh organisms made of cells in the In the

0:27:57.720 --> 0:27:59.920
<v Speaker 2>case of xenobots, they come from frog cells, and the

0:28:00.080 --> 0:28:03.800
<v Speaker 2>case of anthrobots, they come from adult human tracheal epithelial cells.

0:28:04.000 --> 0:28:06.480
<v Speaker 2>They are self motile. They will move around a dish.

0:28:06.600 --> 0:28:08.439
<v Speaker 2>They sort of swim around the dish on their own.

0:28:08.480 --> 0:28:12.080
<v Speaker 2>And they have lots of interesting capabilities. For example, the anthrobots,

0:28:12.160 --> 0:28:14.720
<v Speaker 2>if they find a neural wound, they will heal They

0:28:14.760 --> 0:28:18.000
<v Speaker 2>will heal the peripheral innervation by taking the two sides

0:28:18.040 --> 0:28:20.119
<v Speaker 2>of the neural wound and kind of connecting them together.

0:28:20.720 --> 0:28:22.840
<v Speaker 2>You know, who would have known that your tracheal cells

0:28:22.840 --> 0:28:24.840
<v Speaker 2>that sit there for you know, quietly in your body

0:28:24.840 --> 0:28:27.680
<v Speaker 2>for decades, have the ability to form a self motile

0:28:27.720 --> 0:28:29.600
<v Speaker 2>little creature that runs around and do these things, and

0:28:29.640 --> 0:28:32.640
<v Speaker 2>does these things so the plasticity and people have been

0:28:32.680 --> 0:28:36.160
<v Speaker 2>noticing this, this kind of thing for a very long time.

0:28:36.200 --> 0:28:39.800
<v Speaker 2>Developmental biologists is that living systems will play they hand

0:28:39.880 --> 0:28:42.400
<v Speaker 2>their depth. They don't just automatically, at least most of

0:28:42.400 --> 0:28:45.160
<v Speaker 2>them don't just automatically do the same thing. They will

0:28:45.160 --> 0:28:48.640
<v Speaker 2>try to as much as we try to telecoherence story

0:28:48.680 --> 0:28:53.720
<v Speaker 2>in confabulation and linguistic space, they will confabulate in transcriptional

0:28:53.760 --> 0:28:58.400
<v Speaker 2>space meaning gene expression space, in physiological space, and in

0:28:58.880 --> 0:29:04.120
<v Speaker 2>anatomical space to put together some kind of a coherent lifestyle.

0:29:04.280 --> 0:29:08.560
<v Speaker 2>Given novel, novel circumstances, the environment can be novel. You

0:29:08.560 --> 0:29:11.640
<v Speaker 2>can interface living tissue with all kinds of weird materials.

0:29:12.320 --> 0:29:15.080
<v Speaker 2>They will always try to make something, And I think

0:29:15.120 --> 0:29:18.840
<v Speaker 2>that's because they never assume that you can take the

0:29:18.880 --> 0:29:22.920
<v Speaker 2>past literally. They have to on the fly put something together.

0:29:23.160 --> 0:29:27.080
<v Speaker 2>One of my favorite examples is what happens in the

0:29:27.320 --> 0:29:30.000
<v Speaker 2>new to kidney tubules. You have a newt If you

0:29:30.040 --> 0:29:32.200
<v Speaker 2>take a section through the kidney tubule, you see eight

0:29:32.280 --> 0:29:34.520
<v Speaker 2>or ten cells are making like a circle, and they

0:29:34.520 --> 0:29:36.640
<v Speaker 2>make this. They make this two well, one of the

0:29:36.640 --> 0:29:39.000
<v Speaker 2>things that the people have found is that you can

0:29:39.400 --> 0:29:41.920
<v Speaker 2>treat them in a way that makes multiple copy number

0:29:41.920 --> 0:29:44.200
<v Speaker 2>of their chromosomes so they have the genetic material. Instead

0:29:44.200 --> 0:29:46.400
<v Speaker 2>of two n they will have four and five and

0:29:46.480 --> 0:29:48.720
<v Speaker 2>six end and so on. If you do that, the

0:29:48.760 --> 0:29:51.600
<v Speaker 2>cells get bigger, but the nude stays the same size.

0:29:51.760 --> 0:29:53.440
<v Speaker 2>So that's kind of amazing. So you take a cross

0:29:53.440 --> 0:29:55.320
<v Speaker 2>section through the two bule and you see, oh, the

0:29:55.360 --> 0:29:58.240
<v Speaker 2>cells are bigger, but there's fewer of them and they

0:29:58.280 --> 0:30:01.120
<v Speaker 2>still form the exact same structure. Well, you can make

0:30:01.600 --> 0:30:05.320
<v Speaker 2>a highly polyploid neud like that that has gigantic cells,

0:30:05.520 --> 0:30:08.680
<v Speaker 2>and in that case, one single cell will bend around itself,

0:30:09.000 --> 0:30:11.200
<v Speaker 2>leaving a hole in the middle, which is a completely

0:30:11.200 --> 0:30:13.840
<v Speaker 2>different molecular mechanism. Right, it's not cell to cell communication.

0:30:13.880 --> 0:30:16.560
<v Speaker 2>That's some kind of cideoscalarle bending. So now think about

0:30:16.600 --> 0:30:18.640
<v Speaker 2>what this means if you're a nude coming into this world.

0:30:18.880 --> 0:30:21.160
<v Speaker 2>You can't count on how much genetic material you're going

0:30:21.200 --> 0:30:23.280
<v Speaker 2>to have. You can't count on and never mind not

0:30:23.320 --> 0:30:25.280
<v Speaker 2>being able to count on the environment. Right, who knows

0:30:25.600 --> 0:30:27.520
<v Speaker 2>what the pha your water is and all that. Forget

0:30:27.560 --> 0:30:29.680
<v Speaker 2>that you can't even count on your own parts. You

0:30:29.680 --> 0:30:31.760
<v Speaker 2>don't know what your chromosome number is going to be,

0:30:31.880 --> 0:30:33.240
<v Speaker 2>you don't know how many cells you're going to have,

0:30:33.360 --> 0:30:35.239
<v Speaker 2>you don't know the size of your cells. You have

0:30:35.320 --> 0:30:37.680
<v Speaker 2>to do something coherent in that case build an actual

0:30:37.760 --> 0:30:41.920
<v Speaker 2>neud when everything changes. And that's why I think that

0:30:41.920 --> 0:30:44.840
<v Speaker 2>that's the fundamental thing about confabulation is that if you

0:30:44.960 --> 0:30:47.200
<v Speaker 2>commit to the idea, which I think biology has to.

0:30:47.320 --> 0:30:52.200
<v Speaker 2>Unlike our computer technology, which relies on a highly reliable hardware,

0:30:52.480 --> 0:30:54.920
<v Speaker 2>right when you code, you don't worry about your you know,

0:30:55.000 --> 0:30:57.120
<v Speaker 2>cpu doing something weird. You just assume it's going to

0:30:57.200 --> 0:30:58.800
<v Speaker 2>do what it needs to do. You don't think, you

0:30:59.240 --> 0:31:00.800
<v Speaker 2>know your copper is going to go off or something.

0:31:00.960 --> 0:31:04.200
<v Speaker 2>In biology, that's not the case. The medium is completely unreliable.

0:31:04.320 --> 0:31:06.400
<v Speaker 2>You have no idea what you know, how many proteins

0:31:06.440 --> 0:31:07.960
<v Speaker 2>have we given the type you have, or if they're

0:31:07.960 --> 0:31:09.760
<v Speaker 2>going to get a little bit teen natured, or you

0:31:09.800 --> 0:31:12.040
<v Speaker 2>know what's going to happen. If you assume that your

0:31:12.120 --> 0:31:16.880
<v Speaker 2>medium is unreliable, then instead of this kind of hardwired

0:31:16.920 --> 0:31:19.440
<v Speaker 2>here's how we do it every single time. Idea, what

0:31:19.480 --> 0:31:23.160
<v Speaker 2>evolution is going to produce are sense making problem solving

0:31:23.240 --> 0:31:25.720
<v Speaker 2>agents in different spaces. It can be very simple things

0:31:25.760 --> 0:31:28.240
<v Speaker 2>bacteria and you know, but already you're off to the

0:31:28.280 --> 0:31:31.120
<v Speaker 2>racist because you can't count on your environment being the same,

0:31:31.160 --> 0:31:33.240
<v Speaker 2>and you can't count on yourself being the same. You're

0:31:33.240 --> 0:31:36.200
<v Speaker 2>going to mutate, right, your parts will mutate, Everything will change.

0:31:38.200 --> 0:31:39.680
<v Speaker 1>So this is one of the first things that I

0:31:39.800 --> 0:31:44.040
<v Speaker 1>was absolutely intrigued with in biology when I was very young,

0:31:44.120 --> 0:31:48.160
<v Speaker 1>which is, how in the world does a mouse's heart

0:31:48.400 --> 0:31:52.600
<v Speaker 1>and an elephant's heart do the same thing? When you

0:31:52.640 --> 0:31:54.720
<v Speaker 1>know these two cases, you've got totally different number of

0:31:54.760 --> 0:31:57.000
<v Speaker 1>cells making this, and yet it makes the same structure

0:31:57.480 --> 0:31:59.800
<v Speaker 1>that does the same thing. So what is the way

0:31:59.840 --> 0:32:05.800
<v Speaker 1>to understand how biology can code for these higher order structures.

0:32:06.560 --> 0:32:13.040
<v Speaker 2>Yeah, I think that there are key elements of understanding

0:32:13.040 --> 0:32:15.560
<v Speaker 2>what's going on that come from behavioral science. This is

0:32:15.880 --> 0:32:18.320
<v Speaker 2>we are not going to get to this purely by

0:32:18.480 --> 0:32:21.200
<v Speaker 2>the concepts of chemistry and physics, although those are crucial

0:32:21.240 --> 0:32:25.400
<v Speaker 2>to understand. What we have here are problem solving collective intelligences.

0:32:25.600 --> 0:32:27.880
<v Speaker 2>So when you have a bunch of molecular networks that

0:32:27.920 --> 0:32:30.400
<v Speaker 2>make a sell that's a coherent organism like a like

0:32:30.400 --> 0:32:32.560
<v Speaker 2>an amebo or a lachrom area or something that that

0:32:32.680 --> 0:32:36.120
<v Speaker 2>do all these interesting things. They are making a next

0:32:36.160 --> 0:32:39.000
<v Speaker 2>They are contributing to a next level collective intelligence that

0:32:39.080 --> 0:32:41.720
<v Speaker 2>does that, that operates in some kind of space and

0:32:41.840 --> 0:32:44.560
<v Speaker 2>has a small cognitive light coone work and do certain

0:32:44.600 --> 0:32:46.880
<v Speaker 2>things that have a little bit of predative power forward,

0:32:46.920 --> 0:32:49.280
<v Speaker 2>a little bit of memory backward. When those cells come

0:32:49.320 --> 0:32:51.920
<v Speaker 2>together and form an organism, once again, you have a

0:32:51.920 --> 0:32:55.000
<v Speaker 2>collective intelligence that now projects into a new space. Whereas

0:32:55.000 --> 0:32:58.760
<v Speaker 2>the cells we're solving problems in physiology and metabolics and

0:32:58.840 --> 0:33:01.200
<v Speaker 2>gene expression, you know, now have a system that solves

0:33:01.240 --> 0:33:04.360
<v Speaker 2>problems in anatomy. So so when you take an early embryo,

0:33:04.440 --> 0:33:06.240
<v Speaker 2>let's say, an early mammalian memory, and you cut it

0:33:06.240 --> 0:33:08.640
<v Speaker 2>in half, you don't get two half embryos. You get

0:33:08.680 --> 0:33:11.800
<v Speaker 2>too perfectly normal monozygotic twins because each side has to

0:33:11.840 --> 0:33:14.080
<v Speaker 2>figure out, oh way this is missing, why I have

0:33:14.160 --> 0:33:17.080
<v Speaker 2>to rebuild and so on. And so my point is

0:33:17.120 --> 0:33:20.200
<v Speaker 2>not that we attribute to uh, you know, high order

0:33:20.360 --> 0:33:22.720
<v Speaker 2>human level self consciousness to these things. I'm not saying

0:33:22.760 --> 0:33:25.479
<v Speaker 2>they have the metacognition to know what they're doing. What

0:33:25.520 --> 0:33:29.520
<v Speaker 2>I'm saying is we have a simplified version of intelligence,

0:33:29.520 --> 0:33:31.440
<v Speaker 2>which we know there had to be because we came

0:33:31.560 --> 0:33:34.080
<v Speaker 2>that that is our origin. We know there has to

0:33:34.120 --> 0:33:36.240
<v Speaker 2>be a version of intelligence that is, you know, sort

0:33:36.240 --> 0:33:38.080
<v Speaker 2>of on the on the left end of that spectrum

0:33:38.120 --> 0:33:40.959
<v Speaker 2>going all the way back to primitive cells and before

0:33:41.000 --> 0:33:43.200
<v Speaker 2>that actually, And that's that's how we need to think

0:33:43.240 --> 0:33:46.880
<v Speaker 2>about this as as as problem solving, continuous dynamical problem solving.

0:33:47.240 --> 0:33:49.240
<v Speaker 1>Great, So let's take where we are now and return

0:33:49.240 --> 0:33:53.360
<v Speaker 1>to the issue of memory. So how does memory work

0:33:53.600 --> 0:33:55.040
<v Speaker 1>in a brain?

0:33:55.360 --> 0:33:57.080
<v Speaker 2>So I'll just address to you know, a couple of

0:33:57.240 --> 0:33:59.760
<v Speaker 2>things that I can speak to. What one is that

0:34:00.080 --> 0:34:04.640
<v Speaker 2>I think the conventional story that memories are some sort

0:34:04.640 --> 0:34:08.640
<v Speaker 2>of fine tuning of synaptic connections. I think that story

0:34:08.680 --> 0:34:11.239
<v Speaker 2>is very incomplete, and there there are many people, you know,

0:34:11.320 --> 0:34:13.960
<v Speaker 2>like Landsmen and sam Gershman and many others that are

0:34:14.840 --> 0:34:17.399
<v Speaker 2>that are working on that. I I tend to think

0:34:17.440 --> 0:34:19.359
<v Speaker 2>if I had to guess, I would say that there

0:34:19.400 --> 0:34:22.719
<v Speaker 2>probably isn't one substrate of memory. I would look at

0:34:22.760 --> 0:34:27.319
<v Speaker 2>memory as an interpretation process, which I think neurons are

0:34:27.400 --> 0:34:30.759
<v Speaker 2>very good at this of interpreting a reservoir. That reservoir

0:34:30.880 --> 0:34:33.200
<v Speaker 2>is everything else the cell is doing. The side of

0:34:33.200 --> 0:34:36.000
<v Speaker 2>skeletal states, the molecular networks. I mean, some people pick

0:34:36.040 --> 0:34:40.600
<v Speaker 2>up have picked up transcriptional uh signatures of certain memories

0:34:40.640 --> 0:34:43.799
<v Speaker 2>that mice have had, and so on. Every everything in

0:34:43.840 --> 0:34:46.279
<v Speaker 2>the cell, all the complexity that is going on, can

0:34:46.320 --> 0:34:48.880
<v Speaker 2>be used as a reservoir in a sense of reservoir computing,

0:34:49.160 --> 0:34:54.440
<v Speaker 2>to be used as prompts to reinterpret these those prompts

0:34:54.480 --> 0:34:59.640
<v Speaker 2>as memories that are useful and with so again maximizing salience,

0:34:59.680 --> 0:35:04.680
<v Speaker 2>not as early fidelity, but salience useful in their novel context.

0:35:04.840 --> 0:35:07.960
<v Speaker 2>So I think I think memory is a lot about creativity.

0:35:08.000 --> 0:35:11.319
<v Speaker 2>I think it's a lot about uh, having prompts that

0:35:11.600 --> 0:35:14.560
<v Speaker 2>that that push you into new new kinds of problem solving,

0:35:14.719 --> 0:35:17.000
<v Speaker 2>you know. And and if if your if your body

0:35:17.040 --> 0:35:21.080
<v Speaker 2>and your environments stay extremely constant, then it just looks

0:35:21.200 --> 0:35:23.040
<v Speaker 2>like the old version of memory, where you store a

0:35:23.040 --> 0:35:25.480
<v Speaker 2>piece of data, you read it out and that's it, right,

0:35:25.520 --> 0:35:27.319
<v Speaker 2>That's how it looks like. That's what it looks like

0:35:27.320 --> 0:35:29.400
<v Speaker 2>from the outside. But I don't think that's what's going on,

0:35:29.840 --> 0:35:30.040
<v Speaker 2>you know.

0:35:30.120 --> 0:35:32.560
<v Speaker 1>In my in my book Live Wire, I make the

0:35:32.680 --> 0:35:35.080
<v Speaker 1>argument that even though in Silicon Valley we think about

0:35:35.080 --> 0:35:38.040
<v Speaker 1>everything as being a trim and efficient layer of hardware,

0:35:38.160 --> 0:35:41.040
<v Speaker 1>and then you build uh trim and efficient software on

0:35:41.120 --> 0:35:43.760
<v Speaker 1>top of that. That's not at all how the brain's working. Instead,

0:35:43.800 --> 0:35:46.400
<v Speaker 1>you've got this constant reconfiguration. And I know that you

0:35:46.960 --> 0:35:51.279
<v Speaker 1>also reject that dichotomy between a computation layer and a

0:35:51.360 --> 0:35:52.600
<v Speaker 1>passive code layer.

0:35:53.320 --> 0:35:56.040
<v Speaker 2>So how do you think about that? Yeah, well, I

0:35:56.280 --> 0:35:59.560
<v Speaker 2>think I think there's a couple of major differences between

0:36:00.320 --> 0:36:04.320
<v Speaker 2>how how we build hardware now you know, comput computational devices,

0:36:04.360 --> 0:36:06.640
<v Speaker 2>and what biology is doing. The first thing we've just

0:36:06.640 --> 0:36:10.640
<v Speaker 2>talked about, which is the reliability the idea that in

0:36:10.640 --> 0:36:13.000
<v Speaker 2>in in the computational where you have levels of abstraction

0:36:13.400 --> 0:36:15.600
<v Speaker 2>and you try to screen every layer from all the

0:36:15.680 --> 0:36:18.080
<v Speaker 2>vagaries of the level below. So if you're coding in

0:36:18.440 --> 0:36:20.680
<v Speaker 2>you know, c or something, you're not worried about what

0:36:20.719 --> 0:36:22.879
<v Speaker 2>the copper is doing and what the silicon is doing.

0:36:22.920 --> 0:36:26.040
<v Speaker 2>You you you assume that the function calls you have

0:36:26.200 --> 0:36:27.480
<v Speaker 2>are going to do what they need to do and

0:36:27.960 --> 0:36:31.200
<v Speaker 2>you go from there. Biology isn't like that. All all

0:36:31.239 --> 0:36:34.480
<v Speaker 2>the all the layers are somewhat unreliable, and you need

0:36:34.520 --> 0:36:37.239
<v Speaker 2>to be interpreting it at all at all times. Josh

0:36:37.320 --> 0:36:40.000
<v Speaker 2>Bongard and I are working on a framework called polycomputing,

0:36:40.440 --> 0:36:43.719
<v Speaker 2>and the idea and this is this is partially based

0:36:43.760 --> 0:36:46.640
<v Speaker 2>on some amazing work that is student to Saparsa had

0:36:46.680 --> 0:36:50.160
<v Speaker 2>done showing that the same set of physical events can

0:36:50.160 --> 0:36:53.759
<v Speaker 2>be interpreted as different computations by different observers the exact

0:36:53.800 --> 0:36:56.240
<v Speaker 2>same set of physical events. So give us an example.

0:36:57.360 --> 0:37:00.799
<v Speaker 2>An example is I mean in her work, they were

0:37:00.800 --> 0:37:03.239
<v Speaker 2>looking at the vibrations of particles and you look at

0:37:03.239 --> 0:37:04.719
<v Speaker 2>them in one way and you see an end gate,

0:37:04.719 --> 0:37:05.920
<v Speaker 2>and you look at them a different way and you

0:37:05.920 --> 0:37:09.759
<v Speaker 2>see an ore gate. That's one example in biology. What

0:37:09.800 --> 0:37:12.640
<v Speaker 2>it means in biology is that. And by the way,

0:37:12.680 --> 0:37:14.759
<v Speaker 2>he and I wrote this paper called this plenty of

0:37:14.840 --> 0:37:17.960
<v Speaker 2>room right here kind of riffing off of finements, a

0:37:18.080 --> 0:37:20.080
<v Speaker 2>comment that there's plenty of room at the bottom because

0:37:20.120 --> 0:37:23.440
<v Speaker 2>because biology has this thing where every level is already occupied,

0:37:23.480 --> 0:37:25.279
<v Speaker 2>there is no room at the bottom because every level

0:37:25.320 --> 0:37:28.440
<v Speaker 2>is occupied. How do you as if your evolution, how

0:37:28.440 --> 0:37:31.680
<v Speaker 2>do you put in novel functionality when every level already

0:37:31.680 --> 0:37:34.080
<v Speaker 2>has something. And by the way, when you make changes,

0:37:34.239 --> 0:37:35.920
<v Speaker 2>you're going to screw up. If you make changes in

0:37:35.920 --> 0:37:37.880
<v Speaker 2>the given subsystem, you're going to screw up all the

0:37:37.920 --> 0:37:40.480
<v Speaker 2>other systems. That depend on what it's doing. So one

0:37:40.480 --> 0:37:43.200
<v Speaker 2>thing that I think happens in biology is this poly

0:37:43.239 --> 0:37:47.400
<v Speaker 2>computing where you don't necessarily change the system. You add

0:37:47.600 --> 0:37:50.840
<v Speaker 2>other systems that see what's already going on in a

0:37:50.840 --> 0:37:53.279
<v Speaker 2>different way and make use of it as a computation

0:37:53.560 --> 0:37:56.640
<v Speaker 2>but from a different perspective. So, if you're some kind

0:37:56.680 --> 0:37:59.279
<v Speaker 2>of chemical pathway that mitochondria are using as part of

0:37:59.320 --> 0:38:01.920
<v Speaker 2>the metabolic path way, some other system can look at

0:38:01.920 --> 0:38:04.400
<v Speaker 2>that and say, well, I'm gonna use it as a

0:38:04.400 --> 0:38:06.560
<v Speaker 2>as a clock, I'm gonna I'm gonna take I'm gonna

0:38:06.600 --> 0:38:08.239
<v Speaker 2>use it to regulate my timing, or I'm going to

0:38:08.320 --> 0:38:10.880
<v Speaker 2>use it, you know, in some other, some other signaling capacity.

0:38:11.360 --> 0:38:13.680
<v Speaker 2>And so so I think what we have in biology

0:38:13.800 --> 0:38:16.680
<v Speaker 2>is not this linear stack first of all, not a

0:38:16.680 --> 0:38:19.640
<v Speaker 2>linear stack, but a kind of a super a society

0:38:19.680 --> 0:38:24.000
<v Speaker 2>of multiple nested, cooperating and competing agents which all have

0:38:24.080 --> 0:38:27.200
<v Speaker 2>their own perspectives and they all interpret everything that goes

0:38:27.200 --> 0:38:29.920
<v Speaker 2>on around them in whatever way they can. Uh so,

0:38:30.080 --> 0:38:32.480
<v Speaker 2>And and you know, we're used to the fact that

0:38:32.520 --> 0:38:37.920
<v Speaker 2>in a computation, we supposedly know what a given algorithm

0:38:37.960 --> 0:38:39.759
<v Speaker 2>is doing, right, you can and if you don't know

0:38:39.800 --> 0:38:41.160
<v Speaker 2>you can ask the person who wrote it and they'll

0:38:41.160 --> 0:38:43.360
<v Speaker 2>tell you this is what this thing is computing. But

0:38:43.440 --> 0:38:46.280
<v Speaker 2>in biology, I don't think there is any one fixed

0:38:46.320 --> 0:38:49.120
<v Speaker 2>answer to this. It's doing whatever you as an observer

0:38:49.239 --> 0:38:52.239
<v Speaker 2>can usefully think it's doing that. That doesn't mean anything goes.

0:38:52.280 --> 0:38:54.359
<v Speaker 2>If you have a story that doesn't help you get

0:38:54.360 --> 0:38:56.520
<v Speaker 2>around in the world and thrive, then you don't know

0:38:56.560 --> 0:38:59.200
<v Speaker 2>what it's doing. But but but multiple observers can have

0:38:59.280 --> 0:39:01.279
<v Speaker 2>different stories about the about the same thing.

0:39:01.719 --> 0:39:04.200
<v Speaker 1>So give us if you can't give us another specific

0:39:04.280 --> 0:39:05.080
<v Speaker 1>example of that.

0:39:05.680 --> 0:39:07.560
<v Speaker 2>So the cite of skeleton, on the one hand, is

0:39:07.680 --> 0:39:09.319
<v Speaker 2>used by the cell to get around, and so you

0:39:09.360 --> 0:39:12.600
<v Speaker 2>might say, well, this is this is my my movement machinery.

0:39:12.640 --> 0:39:16.120
<v Speaker 2>That's that's that that I'm counting on to maintain certain

0:39:16.120 --> 0:39:18.560
<v Speaker 2>cell shapes and so on. But at the same time,

0:39:18.600 --> 0:39:20.600
<v Speaker 2>there's other data showing that the site of skeleton can

0:39:20.600 --> 0:39:24.200
<v Speaker 2>actually be can be storing memory. It's also serving as

0:39:24.200 --> 0:39:26.560
<v Speaker 2>a scaffold for other molecules to find where they need

0:39:26.560 --> 0:39:28.640
<v Speaker 2>to go. They're moving around with motor proteins and things

0:39:28.719 --> 0:39:32.239
<v Speaker 2>like that, and they're just there's just lots of lots

0:39:32.239 --> 0:39:37.360
<v Speaker 2>of different uses that any given mechanism is performing at

0:39:37.400 --> 0:39:40.520
<v Speaker 2>any one time, and there are multiple different readout systems

0:39:40.600 --> 0:39:42.120
<v Speaker 2>and this is this is why you know, there's the

0:39:42.160 --> 0:39:47.279
<v Speaker 2>same molecule induces eyes in one context, that induces UH.

0:39:47.360 --> 0:39:49.440
<v Speaker 2>You know, it might induce a kidney rudiment in a

0:39:49.480 --> 0:39:52.840
<v Speaker 2>different UH contest. There are transcription factors that have that

0:39:52.880 --> 0:39:55.759
<v Speaker 2>have many different roles depending on the context. In our

0:39:55.760 --> 0:39:59.839
<v Speaker 2>work on bioelectrics, the exact same stimulus induces a tail

0:39:59.880 --> 0:40:02.440
<v Speaker 2>to regenerate on a tackle, but a leg to regenerate

0:40:02.440 --> 0:40:04.840
<v Speaker 2>on a froglet, and they never get confused, so that

0:40:05.320 --> 0:40:09.120
<v Speaker 2>specificity is not in the in the treatment, it's in

0:40:09.160 --> 0:40:12.320
<v Speaker 2>the surrounding cells being able to interpret that exact same

0:40:12.640 --> 0:40:15.920
<v Speaker 2>signal in whatever way makes sense for them. The ability

0:40:15.920 --> 0:40:19.759
<v Speaker 2>of these subsystems to cooperate in UH, in in in

0:40:19.840 --> 0:40:23.960
<v Speaker 2>groups and solve problems together is is really like a

0:40:24.000 --> 0:40:27.759
<v Speaker 2>fundamental thing in which biology is is different than the

0:40:28.239 --> 0:40:30.440
<v Speaker 2>kind of you know, control systems that we have now

0:40:30.440 --> 0:40:47.360
<v Speaker 2>in computer science. You know, Stephen J.

0:40:47.480 --> 0:40:51.719
<v Speaker 1>Gould wrote about exaptation, where you have something that develops

0:40:51.760 --> 0:40:53.520
<v Speaker 1>and then it turns out to have a use in

0:40:53.600 --> 0:40:56.560
<v Speaker 1>another way. But what you're talking about is even more

0:40:56.600 --> 0:40:58.960
<v Speaker 1>sophisticated in that in the sense that it can retain

0:40:59.080 --> 0:41:02.400
<v Speaker 1>its first use and be used for a second thing

0:41:02.440 --> 0:41:04.480
<v Speaker 1>and the third thing all the same time, just by

0:41:04.520 --> 0:41:06.520
<v Speaker 1>reading that data out in different ways.

0:41:06.680 --> 0:41:10.640
<v Speaker 2>Is that right? That's that's exactly right. And you know,

0:41:10.760 --> 0:41:13.480
<v Speaker 2>some of some of the latest the stuff that I've

0:41:13.480 --> 0:41:16.319
<v Speaker 2>been thinking about really tries to turn this whole thing

0:41:16.360 --> 0:41:19.240
<v Speaker 2>on its head. And you know so, so in the

0:41:19.280 --> 0:41:22.239
<v Speaker 2>standard touring computing paradigm, you have a machine and you

0:41:22.280 --> 0:41:23.960
<v Speaker 2>have the data. Right, so you have a you have

0:41:24.200 --> 0:41:26.320
<v Speaker 2>the process. You have this machine that reads the tape

0:41:26.440 --> 0:41:30.719
<v Speaker 2>and it and it records, you know, the byproducts of

0:41:30.760 --> 0:41:33.440
<v Speaker 2>the computation onto the tape and so on. So typically

0:41:33.480 --> 0:41:35.760
<v Speaker 2>we look at this from the perspective of the machine.

0:41:35.760 --> 0:41:39.279
<v Speaker 2>That is, we are the whether the where, the cell

0:41:39.360 --> 0:41:41.200
<v Speaker 2>or the human or whatever. We're forming memories and we're

0:41:41.200 --> 0:41:43.840
<v Speaker 2>writing it down into some memory medium. The memory medium

0:41:43.920 --> 0:41:47.040
<v Speaker 2>is passive. The memories themselves are passive. They're just marks

0:41:47.040 --> 0:41:48.879
<v Speaker 2>on a tape, and then we can read them out

0:41:48.920 --> 0:41:52.000
<v Speaker 2>when we want. Some of the latest work that we've

0:41:52.000 --> 0:41:54.600
<v Speaker 2>been doing, it starts out by thinking about it backwards

0:41:54.600 --> 0:41:56.520
<v Speaker 2>and saying, well, what does this look like from the

0:41:56.520 --> 0:41:59.640
<v Speaker 2>perspective of the data, right, data that are not passive.

0:41:59.680 --> 0:42:03.800
<v Speaker 2>They're not passive patterns within some medium. They're actually active patterns.

0:42:04.000 --> 0:42:06.719
<v Speaker 2>And from the perspective of the tape, the tape runs

0:42:06.800 --> 0:42:09.000
<v Speaker 2>the show that machine is going to do things depending

0:42:09.040 --> 0:42:11.000
<v Speaker 2>on what is written on the tape. So if I'm

0:42:11.040 --> 0:42:13.880
<v Speaker 2>a pattern on this tape, I can make the machine

0:42:14.040 --> 0:42:17.080
<v Speaker 2>do things. From my perspective, I'm in control. And so

0:42:17.160 --> 0:42:18.960
<v Speaker 2>now it sounds it sounds a little crazy to say

0:42:18.960 --> 0:42:20.919
<v Speaker 2>that that these patterns are doing things and that they're

0:42:20.920 --> 0:42:23.399
<v Speaker 2>agential and whatever. But let's keep in mind we are

0:42:23.440 --> 0:42:27.000
<v Speaker 2>patterns too. We are temporary metabolic patterns within an excitable

0:42:27.239 --> 0:42:31.719
<v Speaker 2>medium the way that people study you know, other temporary

0:42:32.520 --> 0:42:36.560
<v Speaker 2>patterns like solitons and whirlpools, and you know, all different

0:42:36.640 --> 0:42:39.640
<v Speaker 2>kinds of all different kinds of systems. And from from

0:42:39.680 --> 0:42:43.439
<v Speaker 2>that perspective you can you can see that different kinds

0:42:43.440 --> 0:42:46.360
<v Speaker 2>of patterns persist in different media, be they cognitive media

0:42:46.440 --> 0:42:49.960
<v Speaker 2>or just computational media. And asking what does the world

0:42:49.960 --> 0:42:52.560
<v Speaker 2>look like from their perspective and how much, how much

0:42:52.600 --> 0:42:56.319
<v Speaker 2>problem solving capacity, how much agency in fact, might those

0:42:56.320 --> 0:43:00.960
<v Speaker 2>patterns have has massive implications not only for new computational architectures,

0:43:01.120 --> 0:43:04.160
<v Speaker 2>but also, for example, for regenerate medicine, where you want

0:43:04.200 --> 0:43:08.080
<v Speaker 2>to understand what are the persistent information structures that cause

0:43:08.160 --> 0:43:11.840
<v Speaker 2>cells to do or not do various things in disease states,

0:43:11.880 --> 0:43:15.160
<v Speaker 2>and you know, pro regenerative states and so on. So

0:43:15.239 --> 0:43:16.120
<v Speaker 2>let's double click on that.

0:43:16.200 --> 0:43:19.640
<v Speaker 1>So what would that mean for a memory to be

0:43:19.800 --> 0:43:21.840
<v Speaker 1>like an agent to be doing something.

0:43:22.640 --> 0:43:26.600
<v Speaker 2>I'll tell I'll tell a story that I read. I'm

0:43:26.640 --> 0:43:29.279
<v Speaker 2>sure at least part of this was motivated years ago

0:43:29.320 --> 0:43:31.799
<v Speaker 2>by a science fiction story that I'm not exactly sure

0:43:31.920 --> 0:43:33.719
<v Speaker 2>what it was. I think it was a it was

0:43:33.760 --> 0:43:35.719
<v Speaker 2>an Arthur Clock story, but I'm not one hundred percent sure.

0:43:35.800 --> 0:43:37.920
<v Speaker 2>So let's just and I'm sure I've also twisted it

0:43:37.920 --> 0:43:39.640
<v Speaker 2>in a different way. But let's just let's just let's

0:43:39.680 --> 0:43:43.320
<v Speaker 2>just visual it's because your memory is creative to totally.

0:43:43.400 --> 0:43:45.600
<v Speaker 2>There may have been no story. I have no idea, so,

0:43:46.480 --> 0:43:47.879
<v Speaker 2>you know, I just want to give credit in case

0:43:47.920 --> 0:43:51.080
<v Speaker 2>there was. So so let's just let's just visualize this.

0:43:51.120 --> 0:43:54.240
<v Speaker 2>So from the center of the earth come these creatures,

0:43:54.239 --> 0:43:56.000
<v Speaker 2>these core creatures, right, they live at the center of

0:43:56.000 --> 0:43:58.000
<v Speaker 2>the earth. They come out onto the surface. They are

0:43:58.480 --> 0:44:01.560
<v Speaker 2>incredibly dense because they live at the core, they have

0:44:01.680 --> 0:44:04.880
<v Speaker 2>vision that operates, let's say, in them in gamma rays.

0:44:04.920 --> 0:44:06.840
<v Speaker 2>And so they come up to the surface. What do

0:44:06.920 --> 0:44:09.960
<v Speaker 2>they see, Well, pretty much nothing, because everything that we

0:44:10.000 --> 0:44:14.799
<v Speaker 2>see here is like a fine ethereal plasma. To them,

0:44:14.800 --> 0:44:16.880
<v Speaker 2>they are so dense. All of the stuff that we

0:44:16.960 --> 0:44:21.600
<v Speaker 2>think of as real objects are basically not even within

0:44:21.680 --> 0:44:26.399
<v Speaker 2>their within their ability to perceive directly. So they're walking around,

0:44:26.480 --> 0:44:29.040
<v Speaker 2>stomping through everything. And you know the same way that

0:44:29.080 --> 0:44:32.000
<v Speaker 2>when we walk past, you know, some kind of flower bed,

0:44:32.000 --> 0:44:34.960
<v Speaker 2>there's all kinds of like fine you know, patterns of

0:44:35.000 --> 0:44:37.080
<v Speaker 2>ascents and so on, we just sort of walk right

0:44:37.080 --> 0:44:38.960
<v Speaker 2>through it, mix that all up. So they're stepping all

0:44:39.000 --> 0:44:40.880
<v Speaker 2>over everything, and well, one of them, one of them,

0:44:40.960 --> 0:44:43.759
<v Speaker 2>is a scientist, and he's taking some careful readings of

0:44:43.800 --> 0:44:47.200
<v Speaker 2>what's going on around him, and he says to the others, Hey,

0:44:47.200 --> 0:44:50.400
<v Speaker 2>you know there's this there's this like fine invisible gas

0:44:50.440 --> 0:44:53.759
<v Speaker 2>around our planet. This is like plasma around and there's

0:44:53.800 --> 0:44:56.440
<v Speaker 2>patterns in this there's regular patterns in this plasma that

0:44:56.560 --> 0:44:59.000
<v Speaker 2>kind of hole together. And he say, so, what, well,

0:44:59.360 --> 0:45:01.080
<v Speaker 2>I've been watching some of these patterns, and you know,

0:45:01.640 --> 0:45:04.520
<v Speaker 2>they seem to be almost like they do things. They

0:45:04.520 --> 0:45:07.960
<v Speaker 2>almost seem agential, they almost seem like they have goals,

0:45:07.960 --> 0:45:10.319
<v Speaker 2>and like they you know, they're not they're they're they're

0:45:10.360 --> 0:45:13.560
<v Speaker 2>sort of like you would see waves or solitons moving

0:45:13.600 --> 0:45:15.120
<v Speaker 2>through water, you know, and they look like they hold

0:45:15.160 --> 0:45:17.359
<v Speaker 2>together for a period of time. And they say to him, well,

0:45:17.400 --> 0:45:20.000
<v Speaker 2>how long do these hold together? Well about one hundred years.

0:45:20.000 --> 0:45:22.720
<v Speaker 2>Well that's crazy, nothing, nothing interesting can happen that that quickly.

0:45:22.840 --> 0:45:25.359
<v Speaker 2>You know, They're just temporary. They're temporary, fleeting, you know,

0:45:25.400 --> 0:45:27.719
<v Speaker 2>sorts of sorts of patterns. And and by the way,

0:45:27.760 --> 0:45:30.799
<v Speaker 2>we've been watching the ecosystem here, and some of these

0:45:30.800 --> 0:45:33.320
<v Speaker 2>patterns are really like not conducive to the health of

0:45:33.360 --> 0:45:35.399
<v Speaker 2>the ecosystem, you know, these patterns are really are really

0:45:35.440 --> 0:45:37.560
<v Speaker 2>like screwing things up. So they're they're kind of like

0:45:37.760 --> 0:45:42.279
<v Speaker 2>these these recurrent but the unhelpful patterns. So so I

0:45:42.520 --> 0:45:44.840
<v Speaker 2>have a blog post which has this this this fictional

0:45:44.880 --> 0:45:47.920
<v Speaker 2>dialogue between that creed, that that that core scientist, and

0:45:47.960 --> 0:45:49.759
<v Speaker 2>he tries to talk to one of the patterns. We

0:45:49.800 --> 0:45:53.400
<v Speaker 2>of course are the patterns, and so the human says

0:45:53.400 --> 0:45:57.040
<v Speaker 2>to him, it's really imperative that you guys understand that

0:45:57.080 --> 0:45:59.919
<v Speaker 2>we are alive and and we have we are, we matter,

0:46:00.080 --> 0:46:01.680
<v Speaker 2>we you know, in a moral sense, we have goals,

0:46:01.680 --> 0:46:04.400
<v Speaker 2>we have memories, We persist. And he says, well, I

0:46:04.480 --> 0:46:06.600
<v Speaker 2>feel like I'm crazy. I'm talking to a pattern and gas.

0:46:06.640 --> 0:46:08.560
<v Speaker 2>You know you can't be real. He says, I'm real.

0:46:08.600 --> 0:46:11.280
<v Speaker 2>I'm solid. I live for you know, millions of years.

0:46:11.840 --> 0:46:14.680
<v Speaker 2>You're a temporary pattern in this gas. How can I

0:46:14.719 --> 0:46:18.239
<v Speaker 2>take you seriously as a coherent intelligence? And so just

0:46:18.280 --> 0:46:20.799
<v Speaker 2>thinking about it that way reminds us that all of

0:46:20.840 --> 0:46:24.520
<v Speaker 2>this is relative, and that we two are patterns, and

0:46:24.800 --> 0:46:29.879
<v Speaker 2>what other patterns around us have a degree of coherence

0:46:30.200 --> 0:46:34.680
<v Speaker 2>and live and strive and have different kinds of degrees

0:46:34.800 --> 0:46:38.480
<v Speaker 2>of problem solving competency and other kinds of things that

0:46:38.520 --> 0:46:40.680
<v Speaker 2>we don't know. And so once we think about that,

0:46:40.719 --> 0:46:44.040
<v Speaker 2>once we realize that this distinction between you know, real

0:46:44.239 --> 0:46:47.560
<v Speaker 2>solid beings like us and the temporary pattern like we

0:46:47.600 --> 0:46:49.640
<v Speaker 2>are all on that spectrum. We are all patterns. So

0:46:49.640 --> 0:46:51.600
<v Speaker 2>once you think about it that way, it unlocks the

0:46:51.640 --> 0:46:56.400
<v Speaker 2>ability to take the tools that we use to understand

0:46:56.560 --> 0:47:00.200
<v Speaker 2>real embodied beings and ask ourselves, how do some of

0:47:00.200 --> 0:47:03.719
<v Speaker 2>those tools and concepts from behavioral science and so on,

0:47:03.920 --> 0:47:06.400
<v Speaker 2>how would they apply to certain other kinds of patterns

0:47:06.400 --> 0:47:13.359
<v Speaker 2>in other media. So what are patterns in media? Well,

0:47:13.880 --> 0:47:16.400
<v Speaker 2>thoughts within the cognitive system are patterns. You can have

0:47:16.800 --> 0:47:19.440
<v Speaker 2>fleeting thoughts that sort of come and go. You can

0:47:19.520 --> 0:47:21.880
<v Speaker 2>have persistent thoughts, you know, thoughts that are hard to

0:47:21.880 --> 0:47:24.920
<v Speaker 2>get rid of. Right, then it's all many examples of that,

0:47:25.360 --> 0:47:27.200
<v Speaker 2>and some of those thoughts actually do a little bit

0:47:27.200 --> 0:47:30.120
<v Speaker 2>of niche construction. Niche construction in biologies, when an animal

0:47:30.360 --> 0:47:33.440
<v Speaker 2>modifies its environment that makes it easier for them to persist.

0:47:33.560 --> 0:47:35.640
<v Speaker 2>So you're doing something to the environment that makes it

0:47:35.680 --> 0:47:37.960
<v Speaker 2>easy for yourself to stick around. Well, there are data

0:47:37.960 --> 0:47:40.960
<v Speaker 2>that depressive thoughts, persistent thoughts, those kinds of things actually

0:47:41.000 --> 0:47:43.640
<v Speaker 2>modifying brain issue in ways that makes it easier to

0:47:43.719 --> 0:47:46.200
<v Speaker 2>keep having those kinds of thoughts. Right, So you got

0:47:46.200 --> 0:47:49.120
<v Speaker 2>your fleeting thoughts, you got your kind of persistent thoughts.

0:47:49.680 --> 0:47:54.160
<v Speaker 2>Then maybe you have some dissociative personality alters which are

0:47:54.440 --> 0:47:57.680
<v Speaker 2>way more coherent than a simple persistent thought and in

0:47:57.719 --> 0:48:00.520
<v Speaker 2>fact somewhat agential. So they have a is and they

0:48:00.560 --> 0:48:04.560
<v Speaker 2>have memories or whatever, but not a full on human personality.

0:48:04.640 --> 0:48:06.439
<v Speaker 2>So then you have you have that, and then who

0:48:06.480 --> 0:48:09.040
<v Speaker 2>knows what's beyond that? Right, trans personal psychology will say

0:48:09.040 --> 0:48:11.560
<v Speaker 2>that maybe maybe there are there are bigger things past that.

0:48:12.200 --> 0:48:16.000
<v Speaker 2>So so I think that, uh, you know, this this

0:48:16.120 --> 0:48:20.040
<v Speaker 2>idea of having patterns within a medium and maybe within

0:48:20.040 --> 0:48:22.400
<v Speaker 2>a cognitive meaning, but also a computational medium. If you're

0:48:22.520 --> 0:48:27.200
<v Speaker 2>data in a database of being being shuffled depending on

0:48:27.200 --> 0:48:30.040
<v Speaker 2>that architecture, maybe you can take the perspective of that

0:48:30.120 --> 0:48:31.920
<v Speaker 2>data and ask yourself, what does the world look like

0:48:31.960 --> 0:48:36.240
<v Speaker 2>from my perspective, right from the perspective of the pattern,

0:48:36.440 --> 0:48:39.520
<v Speaker 2>and what is the pattern doing or not to facilitate

0:48:39.600 --> 0:48:43.440
<v Speaker 2>its own persistence and to facilitate its own transformation that

0:48:43.600 --> 0:48:46.040
<v Speaker 2>usually is required if you're going to persist over long

0:48:46.080 --> 0:48:48.160
<v Speaker 2>periods of the time, you may need to change. So

0:48:48.360 --> 0:48:50.880
<v Speaker 2>that's that's you know, that's some cutting sort of cutting

0:48:50.960 --> 0:48:52.960
<v Speaker 2>edge stuff as far as what we're thinking about to

0:48:53.080 --> 0:48:55.440
<v Speaker 2>understand some of what goes on in these kind of

0:48:55.440 --> 0:48:57.799
<v Speaker 2>complex biological cases that we want to be able to

0:48:57.800 --> 0:48:59.160
<v Speaker 2>control in medicine and so on.

0:48:59.440 --> 0:49:01.719
<v Speaker 1>And presume will you think about that in a Darwinian

0:49:01.800 --> 0:49:05.920
<v Speaker 1>context in terms of if I'm a thought and you know,

0:49:06.000 --> 0:49:07.799
<v Speaker 1>so I'm some pattern that is a thought and I'm

0:49:07.840 --> 0:49:13.240
<v Speaker 1>trying to keep myself alive. There are certain mutations perhaps

0:49:13.320 --> 0:49:15.239
<v Speaker 1>that I can have, or certain things that I can

0:49:15.320 --> 0:49:18.080
<v Speaker 1>do that give me an advantage in that domain.

0:49:18.920 --> 0:49:22.320
<v Speaker 2>That's part of it. But I think that the bare

0:49:22.400 --> 0:49:27.759
<v Speaker 2>bones Darwinian paradigm, which is short term self interest, competition,

0:49:28.360 --> 0:49:33.360
<v Speaker 2>and random change, those three things I think are woefully

0:49:33.400 --> 0:49:37.120
<v Speaker 2>incomplete as a story both of actual evolutionary change in

0:49:37.120 --> 0:49:40.239
<v Speaker 2>biology and the kinds of things that we're talking about here.

0:49:40.360 --> 0:49:42.800
<v Speaker 2>The alternative to this, of course, is that a system

0:49:43.040 --> 0:49:45.680
<v Speaker 2>that changes with some sort of foresight. Now that doesn't

0:49:45.719 --> 0:49:48.439
<v Speaker 2>mean long term purpose. I am not saying that there's

0:49:48.480 --> 0:49:50.960
<v Speaker 2>some sort of human or above level of a plan

0:49:51.480 --> 0:49:54.960
<v Speaker 2>that is executing the changes that are happening. What I'm

0:49:55.000 --> 0:49:58.520
<v Speaker 2>saying is that we cannot necessarily assume that the change

0:49:58.520 --> 0:50:01.360
<v Speaker 2>that is happening is completely blinde and we cannot assume

0:50:01.400 --> 0:50:04.359
<v Speaker 2>that there isn't some computational process done at the level

0:50:04.360 --> 0:50:07.719
<v Speaker 2>of the lineage that is actually guiding the changes that

0:50:07.760 --> 0:50:10.279
<v Speaker 2>are that are happening. One way to think about this

0:50:10.360 --> 0:50:11.960
<v Speaker 2>is to think about the whole lineage, you know, I

0:50:12.000 --> 0:50:15.160
<v Speaker 2>don't know, fifteen million years of alligators or something. Think

0:50:15.200 --> 0:50:18.400
<v Speaker 2>about that that whole lineage as a giant, single agent

0:50:18.520 --> 0:50:21.080
<v Speaker 2>distributed over time, bigger than we're used to thinking about,

0:50:21.280 --> 0:50:25.759
<v Speaker 2>where every each individual animal is a hypothesis of that

0:50:25.800 --> 0:50:28.279
<v Speaker 2>agent about the outside world. Some of those hypotheses are good,

0:50:28.360 --> 0:50:31.319
<v Speaker 2>some are not. The thinking evolves as time goes on, right,

0:50:31.360 --> 0:50:32.960
<v Speaker 2>So again, this is cutting edge stuff, you know, this

0:50:33.040 --> 0:50:35.680
<v Speaker 2>is this is I'm not at all saying that we

0:50:35.719 --> 0:50:37.440
<v Speaker 2>have all this worked out. This is just these are

0:50:37.520 --> 0:50:41.160
<v Speaker 2>things that we're working on and some ideas going forward.

0:50:41.280 --> 0:50:44.239
<v Speaker 2>But there are lots of people thinking about how much

0:50:44.320 --> 0:50:48.400
<v Speaker 2>and including Richard Watson, how much and what kind of

0:50:48.400 --> 0:50:51.319
<v Speaker 2>computation is done by populations like this that is not

0:50:51.480 --> 0:50:55.480
<v Speaker 2>captured in this very simple uh competition for resources random

0:50:55.600 --> 0:50:59.520
<v Speaker 2>change model. The way that you think about memories in

0:50:59.560 --> 0:51:02.920
<v Speaker 2>the brain as being like their own agents, patterns that

0:51:02.960 --> 0:51:07.080
<v Speaker 2>stay alive, and the recollection of memory as sort of

0:51:07.080 --> 0:51:12.880
<v Speaker 2>the creation from some physical evidence that's there, recreation into

0:51:12.920 --> 0:51:15.239
<v Speaker 2>your current world. Does this tell you anything.

0:51:15.000 --> 0:51:19.680
<v Speaker 1>About Ribou's law, which is the oldest rule in neurology,

0:51:19.719 --> 0:51:22.960
<v Speaker 1>which is that older memories are more stable than more

0:51:23.040 --> 0:51:24.040
<v Speaker 1>recent memories.

0:51:24.880 --> 0:51:27.480
<v Speaker 2>Have you thought about that at all? I've not thought

0:51:27.520 --> 0:51:33.520
<v Speaker 2>about that specifically. It sort of makes sense that you're

0:51:33.719 --> 0:51:35.839
<v Speaker 2>If you're a pattern that has managed to stick around

0:51:35.880 --> 0:51:38.800
<v Speaker 2>for a really long time by interaction with the surrounding

0:51:38.840 --> 0:51:41.279
<v Speaker 2>cognitive system in a way that causes it to keep

0:51:41.280 --> 0:51:43.720
<v Speaker 2>you around and for you to persist, it makes sense

0:51:43.760 --> 0:51:49.520
<v Speaker 2>that you have now picked up on whatever properties, residents, whatever,

0:51:49.920 --> 0:51:53.000
<v Speaker 2>that allows you to be pretty stable in the system.

0:51:53.440 --> 0:51:56.600
<v Speaker 2>There's this term that people use sometime about a breakthrough

0:51:56.640 --> 0:51:59.640
<v Speaker 2>where you reinterpret a number of things that happen in

0:51:59.680 --> 0:52:02.080
<v Speaker 2>your life. If you find out that this person, maybe

0:52:02.120 --> 0:52:05.400
<v Speaker 2>that you were mad at, had some other problem going on.

0:52:05.920 --> 0:52:08.480
<v Speaker 2>They knew that they had cancer, but they didn't tell

0:52:08.520 --> 0:52:12.279
<v Speaker 2>you that, and suddenly they're lashing out at you, you

0:52:12.320 --> 0:52:14.919
<v Speaker 2>have a totally different interpretation of it. You're going back

0:52:14.960 --> 0:52:18.319
<v Speaker 2>through your memory and recasting everything in a different light.

0:52:18.400 --> 0:52:21.600
<v Speaker 2>Do you have any interpretation of that in your framework?

0:52:22.360 --> 0:52:25.760
<v Speaker 2>I mean that sounds to me like a very sophisticated

0:52:27.160 --> 0:52:32.399
<v Speaker 2>human level cognitive version of a process that happens all

0:52:32.480 --> 0:52:35.719
<v Speaker 2>the time, going all the way back to our simplest ancestors,

0:52:35.960 --> 0:52:39.719
<v Speaker 2>which is that circumstances change and it forces you to

0:52:39.840 --> 0:52:43.280
<v Speaker 2>reuse whatever information you had from the past, whatever tools

0:52:43.320 --> 0:52:45.399
<v Speaker 2>you had from the past, to make sense of what's

0:52:45.440 --> 0:52:47.440
<v Speaker 2>going on now, and that I think is the fundamental

0:52:47.480 --> 0:52:50.680
<v Speaker 2>basis of intelligence. That's why I think this requirement to

0:52:50.719 --> 0:52:55.360
<v Speaker 2>confabulate because everything changes is an intelligence ratchet. It requires

0:52:55.400 --> 0:52:57.960
<v Speaker 2>cells to get good at solving problems in their spaces,

0:52:58.080 --> 0:53:02.200
<v Speaker 2>which eventually bubbles up as collective intelligence scales and the

0:53:02.239 --> 0:53:05.640
<v Speaker 2>cognitive light gones expand. It then eventually starts to look

0:53:05.719 --> 0:53:07.920
<v Speaker 2>like the kind of intelligence that we we're used to seeing.

0:53:08.120 --> 0:53:10.520
<v Speaker 2>But that that that fundamental process I think is is

0:53:11.080 --> 0:53:14.120
<v Speaker 2>very ancient and fundament and basic. Mike, does this change

0:53:14.160 --> 0:53:19.120
<v Speaker 2>anything about how you think about yourself? For me? I

0:53:19.160 --> 0:53:25.879
<v Speaker 2>think it's it's very very important to face this, this

0:53:25.880 --> 0:53:28.440
<v Speaker 2>this paradox, right, the paradox which which we face this

0:53:28.760 --> 0:53:31.560
<v Speaker 2>as cognitive systems, but also species face this as well.

0:53:31.960 --> 0:53:35.319
<v Speaker 2>If you don't change, you will likely die out when

0:53:35.640 --> 0:53:38.879
<v Speaker 2>when circumstances change. But if you do change to meet

0:53:38.920 --> 0:53:42.120
<v Speaker 2>those circumstances, you're no longer the same, You're not you anymore.

0:53:42.160 --> 0:53:44.120
<v Speaker 2>So So what does that mean? Right, that's the paradox?

0:53:44.160 --> 0:53:46.839
<v Speaker 2>How how can you possibly persist in this idea of

0:53:47.160 --> 0:53:51.080
<v Speaker 2>persisting as a as a as a pattern and uh

0:53:51.520 --> 0:53:55.120
<v Speaker 2>realizing that because things change all the time and this, this,

0:53:55.160 --> 0:53:57.760
<v Speaker 2>I think is is fundamental. What is in our control

0:53:58.040 --> 0:54:00.680
<v Speaker 2>are not the thoughts that we have right now. What's

0:54:00.800 --> 0:54:04.360
<v Speaker 2>what's in our control is the long term application of

0:54:04.400 --> 0:54:07.120
<v Speaker 2>effort to modify our own cognitive system to have different

0:54:07.120 --> 0:54:09.040
<v Speaker 2>thoughts in the future, the thoughts you would like to

0:54:09.080 --> 0:54:11.239
<v Speaker 2>have more of, and behaviors you would like to have

0:54:11.280 --> 0:54:14.560
<v Speaker 2>more of versus something else. So this idea of committing

0:54:14.600 --> 0:54:18.880
<v Speaker 2>to a consistent, long term process of self change, you know,

0:54:18.920 --> 0:54:21.600
<v Speaker 2>the Buddhists, you also call it the body step of

0:54:21.600 --> 0:54:24.480
<v Speaker 2>a vow, This idea of enlarging your cognitive light cones

0:54:24.520 --> 0:54:27.960
<v Speaker 2>so that you're able to have the goal of compassion,

0:54:28.239 --> 0:54:32.200
<v Speaker 2>you know, beyond our current limited human kind of scale

0:54:32.200 --> 0:54:34.480
<v Speaker 2>that we can actually you know, work towards the goals

0:54:34.480 --> 0:54:37.680
<v Speaker 2>of a certain size. Yeah, that's that's that's what motivates me.

0:54:37.719 --> 0:54:41.080
<v Speaker 2>And the plasticity is really I find it incredibly hopeful

0:54:41.120 --> 0:54:44.200
<v Speaker 2>and positive, this idea, this this incredible plasticity that has

0:54:44.200 --> 0:54:48.239
<v Speaker 2>intelligence at its core, that every single cell is intelligent

0:54:48.400 --> 0:54:52.560
<v Speaker 2>within and it's exerting intelligence in its cooperation and competition

0:54:52.680 --> 0:54:55.319
<v Speaker 2>with others to form larger scale structures that can be

0:54:55.400 --> 0:54:58.480
<v Speaker 2>molded top down, molded over time, to be better and

0:54:58.560 --> 0:54:59.520
<v Speaker 2>to improve over time.

0:55:07.280 --> 0:55:11.239
<v Speaker 1>That was Mike Levin, a professor and biologist at Tufts University.

0:55:12.040 --> 0:55:14.840
<v Speaker 1>So wrapping up this two part episode about the self,

0:55:15.320 --> 0:55:18.480
<v Speaker 1>we saw that everything in your biology is changing all

0:55:18.560 --> 0:55:19.000
<v Speaker 1>the time.

0:55:19.080 --> 0:55:20.600
<v Speaker 2>Your cells are.

0:55:20.160 --> 0:55:23.759
<v Speaker 1>Constantly turning over their pieces and parts, but we have

0:55:24.320 --> 0:55:28.960
<v Speaker 1>memory to bind the use together. Now, I've talked in

0:55:29.040 --> 0:55:32.839
<v Speaker 1>several episodes about how memories change in their character. They're

0:55:32.920 --> 0:55:36.040
<v Speaker 1>not like a file of zeros and ones that are

0:55:36.320 --> 0:55:39.200
<v Speaker 1>written down in a computer and then read back out perfectly.

0:55:39.600 --> 0:55:41.160
<v Speaker 2>And the way Michael Levin.

0:55:40.880 --> 0:55:44.839
<v Speaker 1>Thinks about this is that memories get compressed. They get

0:55:44.920 --> 0:55:49.320
<v Speaker 1>encoded down into the neurons or the connections between neurons,

0:55:49.640 --> 0:55:52.680
<v Speaker 1>or the inner cosmos of proteins and side neuron and

0:55:52.719 --> 0:55:58.480
<v Speaker 1>then when these memories get reinflated later they find themselves

0:55:58.520 --> 0:56:01.920
<v Speaker 1>in a different world, they get it interpreted by the

0:56:02.040 --> 0:56:05.480
<v Speaker 1>new brain that is looking at them. So I want

0:56:05.520 --> 0:56:08.400
<v Speaker 1>to make this model clear. So here's my analogy to

0:56:08.480 --> 0:56:12.360
<v Speaker 1>capture that. Imagine that the world out there has lots

0:56:12.360 --> 0:56:15.920
<v Speaker 1>of things that need to be bolted down, and so

0:56:15.960 --> 0:56:19.960
<v Speaker 1>you create a wrench, and your metal wrench is in

0:56:20.000 --> 0:56:24.120
<v Speaker 1>some sense a compressed representation of the world out there,

0:56:24.520 --> 0:56:27.560
<v Speaker 1>a world full of bolts. So when you see the wrench,

0:56:27.600 --> 0:56:28.440
<v Speaker 1>that reminds you.

0:56:28.440 --> 0:56:29.879
<v Speaker 2>Of all the bolts that are out there.

0:56:30.239 --> 0:56:35.640
<v Speaker 1>Okay, Now, imagine that you bury that wrench, and some

0:56:35.880 --> 0:56:39.799
<v Speaker 1>other creature, some future human creature, digs it up in

0:56:39.880 --> 0:56:43.880
<v Speaker 1>a thousand years and she doesn't see it as a wrench,

0:56:44.239 --> 0:56:48.120
<v Speaker 1>but to her it's maybe a weapon, or it's an

0:56:48.200 --> 0:56:50.840
<v Speaker 1>instrument for conducting electricity.

0:56:50.239 --> 0:56:51.120
<v Speaker 2>On her spaceship.

0:56:52.000 --> 0:56:55.880
<v Speaker 1>Or she takes it to be a ceremonial artifact, or

0:56:55.920 --> 0:56:59.759
<v Speaker 1>she uses it for physical exercise, or she looks at

0:56:59.800 --> 0:57:03.560
<v Speaker 1>its clean, balanced design and uses it for a piece

0:57:03.600 --> 0:57:07.480
<v Speaker 1>of art. The point is that what you buried is

0:57:07.520 --> 0:57:11.200
<v Speaker 1>not what gets exhumed in a new world of the future.

0:57:11.680 --> 0:57:15.520
<v Speaker 1>And that's what happens to memories too. You bury something

0:57:15.880 --> 0:57:18.680
<v Speaker 1>that has some meaning in the now, but what you

0:57:18.800 --> 0:57:22.040
<v Speaker 1>dig up is interpreted through the eyes of.

0:57:22.040 --> 0:57:22.960
<v Speaker 2>The future you.

0:57:23.600 --> 0:57:25.760
<v Speaker 1>And if there's one thing we can count on, it's that,

0:57:26.200 --> 0:57:29.960
<v Speaker 1>despite all your intuitions to the contrary, that future you

0:57:30.600 --> 0:57:34.200
<v Speaker 1>will not be the same as the you now. It'll

0:57:34.240 --> 0:57:37.320
<v Speaker 1>be someone you don't know, who doesn't share all your

0:57:37.440 --> 0:57:41.760
<v Speaker 1>values and opinions, and is someone you can't accurately predict

0:57:42.320 --> 0:57:45.600
<v Speaker 1>the ship of theseus with all those changes does not

0:57:46.040 --> 0:57:51.960
<v Speaker 1>in fact remain the same ship. I was recently talking

0:57:51.960 --> 0:57:55.080
<v Speaker 1>with my friend Lisa Joy, and she said she thinks

0:57:55.120 --> 0:58:00.000
<v Speaker 1>it's strange that the longevity community cares so much about

0:58:00.200 --> 0:58:06.840
<v Speaker 1>extending their lifespan by decades, because that future person will

0:58:06.880 --> 0:58:10.600
<v Speaker 1>be somebody potentially very different from who they are now.

0:58:11.200 --> 0:58:13.560
<v Speaker 1>So who are you saving if you go through a

0:58:13.600 --> 0:58:17.440
<v Speaker 1>lot of trouble now to extend your life. Whoever you're saving,

0:58:17.840 --> 0:58:21.720
<v Speaker 1>it's a stranger to you. You're doing all this work

0:58:22.040 --> 0:58:25.160
<v Speaker 1>for someone you don't know. So, coming back to the

0:58:25.240 --> 0:58:28.800
<v Speaker 1>question of why we have this notion of an unchanging self,

0:58:29.240 --> 0:58:32.840
<v Speaker 1>Michael's answer is that the job of the brain is

0:58:32.880 --> 0:58:37.320
<v Speaker 1>to make models of consistency, like this is what a

0:58:37.440 --> 0:58:40.600
<v Speaker 1>chair is, this is what a backpack is, this is

0:58:40.600 --> 0:58:43.560
<v Speaker 1>what a bicycle is. And even though there may be

0:58:43.640 --> 0:58:46.000
<v Speaker 1>a lot of variety in the specifics that you come

0:58:46.040 --> 0:58:49.520
<v Speaker 1>across and things might change, you nonetheless are good at

0:58:49.600 --> 0:58:55.640
<v Speaker 1>summarizing things as objects. You lump them into unchanging categories.

0:58:56.200 --> 0:59:00.760
<v Speaker 1>And so Michael argues, the same cognitive machinery is turned

0:59:00.800 --> 0:59:03.920
<v Speaker 1>on to our selves. Even though there's a lot of

0:59:04.240 --> 0:59:08.200
<v Speaker 1>fluctuation of what that refers to. We lump the self

0:59:08.240 --> 0:59:12.240
<v Speaker 1>into one object that we call me, and that high

0:59:12.360 --> 0:59:17.080
<v Speaker 1>level cognitive model just doesn't change much. And so as

0:59:17.120 --> 0:59:21.040
<v Speaker 1>we close, we are left with this remarkable paradox that

0:59:21.080 --> 0:59:25.680
<v Speaker 1>we move through life carrying memories and stories and beliefs

0:59:25.680 --> 0:59:29.360
<v Speaker 1>about who we are, and we carefully preserve them like

0:59:29.480 --> 0:59:32.320
<v Speaker 1>relics in the soil of our minds, and we expect

0:59:32.360 --> 0:59:35.560
<v Speaker 1>them to stay the same. But with each retrieval, every

0:59:35.600 --> 0:59:41.120
<v Speaker 1>time we unearth them, they are interpreted afresh. They're reshaped

0:59:41.200 --> 0:59:46.040
<v Speaker 1>by the hands of a self that is itself ever shifting.

0:59:46.720 --> 0:59:49.000
<v Speaker 1>But the illusion our brains create for us as a

0:59:49.080 --> 0:59:53.240
<v Speaker 1>model of the self as unchanging, a fixed point in

0:59:53.280 --> 0:59:56.520
<v Speaker 1>a fluctuating world. And it's a comforting thought that we're

0:59:56.560 --> 1:00:01.920
<v Speaker 1>a single thread woven through time. Maybe there's also a

1:00:02.040 --> 1:00:06.240
<v Speaker 1>beauty in realizing that each of your future selves is

1:00:06.280 --> 1:00:10.880
<v Speaker 1>a stranger unto you, an explorer who picks up that

1:00:11.040 --> 1:00:15.480
<v Speaker 1>wrench of memory, holding it to the light and interpreting

1:00:15.560 --> 1:00:17.120
<v Speaker 1>something new each time.

1:00:18.120 --> 1:00:20.360
<v Speaker 2>Who we are, what we hold dear.

1:00:20.480 --> 1:00:23.560
<v Speaker 1>Maybe these aren't artifacts that are meant to be saved

1:00:23.640 --> 1:00:24.840
<v Speaker 1>or preserved perfectly.

1:00:25.400 --> 1:00:27.280
<v Speaker 2>They are living stories.

1:00:27.800 --> 1:00:33.560
<v Speaker 1>They're reimagined and repurposed by every future version of us.

1:00:33.920 --> 1:00:34.480
<v Speaker 2>So when you.

1:00:34.480 --> 1:00:38.400
<v Speaker 1>Think of your future self, who you will be tomorrow

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<v Speaker 1>or a month from now or a decade from now,

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<v Speaker 1>think of that stranger that future you, and maybe smile

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<v Speaker 1>at the mystery of what that person will even remember,

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<v Speaker 1>what they'll care about, what they'll let go of. After all,

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<v Speaker 1>part of the adventure of life is not just holding

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<v Speaker 1>on to who we were. It's also about meeting time

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<v Speaker 1>and again who we are becoming. Go to eagleman dot

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<v Speaker 1>com slash podcast for more information and find further reading.

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<v Speaker 1>Send me an email at podcast at eagleman dot com

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<v Speaker 1>with questions or discussion, and check out and subscribe to

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<v Speaker 1>Inner Cosmos on YouTube for videos of each episode and

1:01:27.440 --> 1:01:28.480
<v Speaker 1>to leave comments.

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<v Speaker 2>Until next time.

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<v Speaker 1>I'm David Eagleman and this is Inner Cosmos.