WEBVTT - Ep93 "Will AI kill our creativity or enhance it?"

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<v Speaker 1>How are creative people going to make a living in

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<v Speaker 1>a world with AI? What does the term data dignity mean?

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<v Speaker 1>Why is the character of data from Star Trek a

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<v Speaker 1>useful model for how we could think about what the

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<v Speaker 1>sources are for any creative expression. Is there a totally

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<v Speaker 1>different way to think about the economy of the future,

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<v Speaker 1>and how might this involve mystifying and elevating humans. Welcome

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<v Speaker 1>to Inner Cosmos with me David Eagelman. I'm a neuroscientist

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<v Speaker 1>and an author at Stanford and in these episodes we

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<v Speaker 1>sail deeply into our three pound universe to understand some

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<v Speaker 1>of the most surprising aspects of our lives. Today's episode

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<v Speaker 1>is about the situation we find ourselves in in which

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<v Speaker 1>AI is so boundless and rich in its creative output.

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<v Speaker 1>You ask for a picture of anything you want from

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<v Speaker 1>a good LM like Open AI or mid Journey or Grock,

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<v Speaker 1>and it gives you these really superlative results. It recombines

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<v Speaker 1>elements and concepts in a way that is deeply creative

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<v Speaker 1>and satisfying. But of course, while it's doing an unexpectedly

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<v Speaker 1>terrific job of recombining things that are already out there,

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<v Speaker 1>it didn't come up with the original pieces and parts

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<v Speaker 1>by itself, there are people, individual humans who generated those

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<v Speaker 1>drawings and concepts and art forms. It's fundamentally human creativity,

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<v Speaker 1>not computer creativity, that is the fuel behind it all.

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<v Speaker 1>So is there any way to the humans who drove

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<v Speaker 1>the original innovations or is it simply too late in

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<v Speaker 1>the sense that maybe everything has already been vacuumed up

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<v Speaker 1>by the lms and they've digested it all, and now

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<v Speaker 1>there's no way for human producers of art and ideas

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<v Speaker 1>to get any meaningful credit for their work. What does

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<v Speaker 1>this all mean for the creatives in society, those who

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<v Speaker 1>paint and compose music and write books? What does it

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<v Speaker 1>mean for those who produce work now? And for those

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<v Speaker 1>who are in school now but dream of being human

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<v Speaker 1>creators in the future. So, for today's podcast, I have

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<v Speaker 1>the pleasure of speaking with my friend and colleague, Jaron Lanier.

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<v Speaker 1>Jaren wears many hats. He's a computer scientist, he's an artist,

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<v Speaker 1>he's a technologist, he's a futurist, he's a critic, and

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<v Speaker 1>he's a musician who, by the way, owns almost two

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<v Speaker 1>thousand very unusual musical instruments. Jaren is the godfather of

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<v Speaker 1>virtual reality. He started the first VR company in nineteen

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<v Speaker 1>eighty four, and he's spent his career as a visiting

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<v Speaker 1>scholar at companies and universities, and since two thousand and

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<v Speaker 1>nine he's been at Microsoft Research, where he holds the

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<v Speaker 1>role as prime Unifying Scientists under the Office of the

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<v Speaker 1>Chief Technology Officer, which gives him the acronym Octopus, which

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<v Speaker 1>is appropriate given his reach into so many fields. I'll

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<v Speaker 1>just say that I'm blessed to know a great number

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<v Speaker 1>of brilliant people. But even in that crowd, jaren sits

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<v Speaker 1>near the top of the heap. So today we're going

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<v Speaker 1>to talk about AI and the future for creatives.

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<v Speaker 2>You show me an AI system, I don't care if

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<v Speaker 2>it's CHET, GIPT, or really anything else. You can think

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<v Speaker 2>of it in two ways. There's a figure ground and version.

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<v Speaker 2>That's so. A figure ground in version is when you

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<v Speaker 2>can look at something and you can swap the way

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<v Speaker 2>you interpret it almost to an opposite right A famous

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<v Speaker 2>one is the mcsher drawings, where you might see a

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<v Speaker 2>field of fish or a field of birds, but each

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<v Speaker 2>is the negative space of the other. Right now, in

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<v Speaker 2>this case, for AI, one way you can see AI

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<v Speaker 2>is AI is a thing. It's a noun. Whether you

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<v Speaker 2>think it's alive or not, or conscious or not. Forget

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<v Speaker 2>that it's just a thing. It's like, the AI did this,

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<v Speaker 2>the AI did that. Can we regulate the AI, who

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<v Speaker 2>sold the AI? Who's responsible when the AI did this

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<v Speaker 2>or that? Blah blah blah. It's a thing, it's a noun.

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<v Speaker 2>There's another way to think about it where it is

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<v Speaker 2>not a noun anymore, but instead it's a collaboration of

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<v Speaker 2>people and there isn't anything there other than the people.

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<v Speaker 2>Now when I say this, people are so familiar with

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<v Speaker 2>treating AI as a thing that they have trouble hearing

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<v Speaker 2>the version. Sometimes, what do you mean, of course AI

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<v Speaker 2>is there? Of course it's a thing I just bought.

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<v Speaker 2>I'm paying for your copilot thing and that's the thing

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<v Speaker 2>I paid for it, right, and like great, thank you

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<v Speaker 2>for paying for it. But there is another way to

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<v Speaker 2>think about it, and it is possible to imagine an

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<v Speaker 2>AI system as actually the collaborative effort of all the

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<v Speaker 2>people who made it. This is particularly true in big

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<v Speaker 2>data systems like large language models. You can think of

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<v Speaker 2>them as being closer to the Wikipedia, perhaps than to

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<v Speaker 2>Commander Data from Star Trek. Although I want to see

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<v Speaker 2>something interesting about Commander Data. I was just reviewing clips

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<v Speaker 2>of Commander Data talking and he always introduced himself as

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<v Speaker 2>an amalgam of people whose data he was combining. There's

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<v Speaker 2>a wonderful episode where he plays violin very beautifully and

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<v Speaker 2>Captain Picard comes up to him so that that was

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<v Speaker 2>a great performance, and he says, well, really, you should

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<v Speaker 2>thank the three hundred violinists whose data was amalgamated for

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<v Speaker 2>me to do this. And what I like about that

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<v Speaker 2>scene is that he knows specifically the three hundred. They're

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<v Speaker 2>not a faceless mush of some unknown number, which is

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<v Speaker 2>how we do it today. But the writers at the time,

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<v Speaker 2>and I should fess up, I was in the loop

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<v Speaker 2>and was talking to people, so I might I might

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<v Speaker 2>have had a bit.

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<v Speaker 3>Of influence on it.

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<v Speaker 2>But the idea is that you could know who the

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<v Speaker 2>people were if he wanted to, and Data could say

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<v Speaker 2>it seased three hundred violinists instead of well it's some

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<v Speaker 2>random mush of violinists, you know. So what we've done

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<v Speaker 2>now is we've mushed everybody together so we don't know

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<v Speaker 2>who they are, and that's been our approach to information systems,

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<v Speaker 2>and it benefits those of us who make.

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<v Speaker 3>A living from them.

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<v Speaker 2>If you're listening to a playlist online from some music

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<v Speaker 2>service and you get a feed, you don't necessarily know

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<v Speaker 2>who all the musicians are, but you know the name

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<v Speaker 2>of the service you're paying the monthly bill to.

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<v Speaker 3>So the digital hub.

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<v Speaker 2>Becomes more powerful, becomes more known, more prominent, more valuable

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<v Speaker 2>than the people who are feeding it. So there's this

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<v Speaker 2>constant economic incentive to emphasize the hub and not all

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<v Speaker 2>the people who are really the only thing that are there.

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<v Speaker 2>In the my preferred inversion of understanding the thing, the

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<v Speaker 2>same thing could be true of AI. We so much

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<v Speaker 2>want AI to be this emerging entity, even if it's

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<v Speaker 2>an evil, horrible one that will destroy us. Because we

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<v Speaker 2>grew up on the Matrix movies and the Terminator movies

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<v Speaker 2>and all of these. We want that creature to emerge

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<v Speaker 2>because that's our childhood. That's almost like our religion. It's

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<v Speaker 2>the story we grew up with. But if we acknowledge

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<v Speaker 2>it actually it's all these people instead, then we lose

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<v Speaker 2>We lose the creature, and that would be traumatic. So

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<v Speaker 2>when we train the models, we don't keep track of

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<v Speaker 2>which source documents were involved. So what we really need

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<v Speaker 2>to do is eliminate the people. And we have to

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<v Speaker 2>do that for economics. Can you imagine. I mean, like

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<v Speaker 2>with economics, we can't trace everything. We don't quite know

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<v Speaker 2>why a price is what it is. But on the

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<v Speaker 2>other hand, we could say, hey, buddy, uo taxes, So

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<v Speaker 2>we have a definite motivation to keep track of the people.

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<v Speaker 2>With AI, we lose all the people. We just like

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<v Speaker 2>pretend that the people aren't there. But that's the wrong inversion.

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<v Speaker 1>Well, I know that one of the things that you

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<v Speaker 1>can'tpaign for is digital dividends.

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<v Speaker 3>Well we call it.

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<v Speaker 2>Initially as an academic research field, it was called data

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<v Speaker 2>as labor, so you treat your data as if it

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<v Speaker 2>were labor. And then the name shifted to data dignity.

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<v Speaker 2>Dignity which was such his idea, such an adella. Not

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<v Speaker 2>that he agrees with me about everything, believe me, but

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<v Speaker 2>you know it's that's the term he came up with.

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<v Speaker 3>And data dignity is let's.

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<v Speaker 2>Say you could you got some result, he said, hey, chachipt,

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<v Speaker 2>can you write me a Christmas card?

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<v Speaker 3>Or whatever?

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<v Speaker 2>People do okay, and then they would say, here's your card.

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<v Speaker 2>By the way, the top twelve sources, I mean there

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<v Speaker 2>were a multitude and unbounded multitude of sources, but the

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<v Speaker 2>top twelve were these, and then you could say, hey,

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<v Speaker 2>could you get rid of that one and do this

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<v Speaker 2>one instead. It gives you an x ray into what

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<v Speaker 2>you might think of as the intent of the particular output.

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<v Speaker 2>And I like that for two reasons. One is, there's

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<v Speaker 2>a safety question. So when we have red teams attempt

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<v Speaker 2>to fool the model to get it to do things

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<v Speaker 2>that we don't want it to. For instance, can you

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<v Speaker 2>make a bomb out of what I see here in

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<v Speaker 2>this kitchen right now? Because I really want to blow

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<v Speaker 2>this place up. We don't want that to happen, right,

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<v Speaker 2>But is there some way they can couch that prompt

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<v Speaker 2>in some kind of a weird thing like asking for

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<v Speaker 2>a cake recipe instead, but somehow or other, like maybe

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<v Speaker 2>it indirectly references a movie where there was a bomb

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<v Speaker 2>and somehow rather they get it anyway, all right. The

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<v Speaker 2>thing is, if you can look at the most prominent

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<v Speaker 2>source documents that were relevant to that result and there's

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<v Speaker 2>a bomb in there, you've nailed it. So you have

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<v Speaker 2>an x ray into intent and there's not really any

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<v Speaker 2>substitute for that, and we lose that when we pretend

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<v Speaker 2>that there weren't people there, or that they were just

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<v Speaker 2>a giant, untraceable mush. And then, of course the other

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<v Speaker 2>thing is I want I want to have a future

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<v Speaker 2>where people can be paid for providing exceptionally useful data

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<v Speaker 2>to AI to incentivize better and better data production FREEI

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<v Speaker 2>I want that future, and not just the future everybody

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<v Speaker 2>has to go on universal basic income and be the

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<v Speaker 2>same and feel useless. So that's the second reason, and

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<v Speaker 2>that's why it's called dignity.

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<v Speaker 1>Got it Now, just to play Devil's advocate for one

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<v Speaker 1>moment on that, let's say that you ask it to

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<v Speaker 1>write you a poem, and it says, hey, John Smith

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<v Speaker 1>was sort of the biggest influence for this poem they

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<v Speaker 1>got written.

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<v Speaker 3>But of course John Smith is just a vessel into

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<v Speaker 3>which was.

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<v Speaker 1>Poured the entire culture, and his output of the poem

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<v Speaker 1>came from all the other influences on him.

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<v Speaker 3>So where do you where do you? Yeah?

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<v Speaker 2>So this is a very interesting problem, and this is

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<v Speaker 2>a fundamental philosophical problem, which is the universe is in

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<v Speaker 2>a way of giant continuity, and how do you ever

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<v Speaker 2>draw boundaries? How do you ever say, actually, there's this

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<v Speaker 2>thing and that thing. It's a very basic, fundamental problem,

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<v Speaker 2>and it's a trickier one than people might realize unless

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<v Speaker 2>they've really confronted it. I'm not going to go into

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<v Speaker 2>the whole issue of ontology, because it's a big Ye've

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<v Speaker 2>been working on it for thousands of years and still

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<v Speaker 2>here what I want to say in this case, I

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<v Speaker 2>do have an answer, and it's an answer that you

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<v Speaker 2>might not like and many might not like, which is

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<v Speaker 2>I think we have to celebrate human beings and elevate

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<v Speaker 2>them in a way that, if you like, gives them

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<v Speaker 2>this status of being sources, even though they're always amalgamators too.

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<v Speaker 2>And we have to do that on faith, and in

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<v Speaker 2>a way it's a bit of a mystical idea that

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<v Speaker 2>there's something about people that's magical and a little apart.

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<v Speaker 2>You could call it consciousness, you could call it different things.

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<v Speaker 2>But the reason we have to do that is if

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<v Speaker 2>we're technologists, we have to define who our beneficiary is

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<v Speaker 2>for the technology, and if we can't define this special beneficiary,

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<v Speaker 2>we can't even be coherent technologists. We lose the whole thing.

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<v Speaker 2>Become we become random morons. Just jiggling around between ideas

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<v Speaker 2>is of no meaning. We become memes, we become viral,

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<v Speaker 2>and nothing's there anymore. So I don't think we have

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<v Speaker 2>any choice but to somewhat mystify and elevate humans. And

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<v Speaker 2>so when somebody source document might have internally through other channels,

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<v Speaker 2>dependent on others, which it always will, I mean, there's

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<v Speaker 2>of course, it's always true. I still think we have

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<v Speaker 2>to defer to that person as much as we can.

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<v Speaker 2>And if somebody else says, hey, that shouldn't have been

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<v Speaker 2>their source document. They copied me, Well, we have systems

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<v Speaker 2>in place for that when it's egregious enough and worthwhile enough,

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<v Speaker 2>and they can super copyright if they want to. I

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<v Speaker 2>don't love that, but it's there, and sometimes it needs

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<v Speaker 2>to be there. You know, it's rough justice, it can

0:13:46.559 --> 0:13:50.680
<v Speaker 2>never be perfect, but we have to agree that authorship's.

0:13:50.080 --> 0:13:50.640
<v Speaker 3>A real thing.

0:13:50.679 --> 0:13:54.199
<v Speaker 2>We can't just say that all people are just vessels

0:13:54.240 --> 0:13:56.719
<v Speaker 2>and there's nothing but this emergent thing and no individual

0:13:56.760 --> 0:13:59.199
<v Speaker 2>person as a creator. We have to say no people

0:13:59.280 --> 0:14:03.560
<v Speaker 2>are creators, because otherwise we can't be technologists anymore. The

0:14:03.640 --> 0:14:05.400
<v Speaker 2>moment you give up people, you might as well go

0:14:05.440 --> 0:14:07.800
<v Speaker 2>smash your computer because it doesn't make any sense anymore,

0:14:07.840 --> 0:14:10.680
<v Speaker 2>because it's only possible. Definition isn't serving people.

0:14:24.760 --> 0:14:27.800
<v Speaker 1>So let me dig into something about how it's this

0:14:27.880 --> 0:14:31.400
<v Speaker 1>figure ground reversal of looking at AI as a collaboration

0:14:31.440 --> 0:14:33.280
<v Speaker 1>of people. So this taps into something that I've been

0:14:33.280 --> 0:14:39.880
<v Speaker 1>writing lately about this question of whether AI has theory

0:14:39.920 --> 0:14:41.600
<v Speaker 1>of mind. And you may know some people have published

0:14:41.640 --> 0:14:44.560
<v Speaker 1>paper saying, hey, with the theory of mind has emerged,

0:14:44.880 --> 0:14:47.000
<v Speaker 1>And just as a reminder of the audience, it's you know,

0:14:47.040 --> 0:14:49.440
<v Speaker 1>theory of mind is being able to put yourself into

0:14:49.480 --> 0:14:52.480
<v Speaker 1>the shoes of someone else, into the perspective, and understand

0:14:52.520 --> 0:14:55.680
<v Speaker 1>their beliefs, even if they're different from your own, and

0:14:55.800 --> 0:14:59.120
<v Speaker 1>understand what they believe is true or not true their

0:14:59.200 --> 0:15:02.920
<v Speaker 1>perspective so on. Now, this is something humans do seamlessly

0:15:02.960 --> 0:15:06.160
<v Speaker 1>and effortlessly all the time. We're very good at understanding, Oh,

0:15:06.360 --> 0:15:08.680
<v Speaker 1>he doesn't know that piece of information, she does know that,

0:15:09.480 --> 0:15:13.360
<v Speaker 1>and so on. But the question is do llms do it?

0:15:13.360 --> 0:15:16.440
<v Speaker 1>So some people have claimed yes. I've studied this point

0:15:16.640 --> 0:15:20.680
<v Speaker 1>very carefully. I conclude that they do not. Now why

0:15:20.680 --> 0:15:23.760
<v Speaker 1>do some people write that they do. It's because you

0:15:23.880 --> 0:15:28.760
<v Speaker 1>give these questions that are probing on. Hey, what if there's,

0:15:28.920 --> 0:15:31.240
<v Speaker 1>you know, a bag that's labeled with one thing, but

0:15:31.280 --> 0:15:34.440
<v Speaker 1>there's something different inside. What does the person believe who's

0:15:34.480 --> 0:15:36.200
<v Speaker 1>just looking at the label, and what does she believe

0:15:36.240 --> 0:15:38.160
<v Speaker 1>after she looks inside the bag? And so on and

0:15:38.360 --> 0:15:42.720
<v Speaker 1>lllls will get the stuff right, and so they say, Wow, they've.

0:15:41.920 --> 0:15:42.640
<v Speaker 3>Got theories in mind.

0:15:42.640 --> 0:15:45.920
<v Speaker 1>They can understand what it's like to be this person

0:15:46.080 --> 0:15:48.760
<v Speaker 1>in these different circumstances. The reason I don't think that's

0:15:48.800 --> 0:15:54.040
<v Speaker 1>true is what I'm calling this the intelligence echo illusion.

0:15:54.120 --> 0:15:58.040
<v Speaker 1>And what I mean by that is thousands, maybe millions

0:15:58.080 --> 0:16:00.880
<v Speaker 1>of people have written about this on line. They've written

0:16:00.880 --> 0:16:05.520
<v Speaker 1>out these deary mind questions, these unexpected things and so on.

0:16:05.800 --> 0:16:09.520
<v Speaker 1>So an LM absorbs the statistics of lots and lots

0:16:09.560 --> 0:16:11.360
<v Speaker 1>of these things, and then when you ask the question,

0:16:11.520 --> 0:16:13.120
<v Speaker 1>you say, my god, it gave me the right answer.

0:16:13.120 --> 0:16:14.800
<v Speaker 1>And of course gave the right answer. It's read the

0:16:14.880 --> 0:16:17.120
<v Speaker 1>damn problem lots of times.

0:16:17.480 --> 0:16:19.600
<v Speaker 3>What's interesting, this is the calculation.

0:16:19.200 --> 0:16:22.520
<v Speaker 1>I ran recently, is you know, if you look at

0:16:22.560 --> 0:16:27.040
<v Speaker 1>the common crawl, this corpus of the data that all

0:16:27.080 --> 0:16:32.800
<v Speaker 1>these large language models crawl and absorb that's, according to

0:16:32.800 --> 0:16:36.760
<v Speaker 1>my calculation, one thousand times larger than what you could

0:16:36.800 --> 0:16:41.840
<v Speaker 1>read in a lifetime. And so the fact is, many,

0:16:41.920 --> 0:16:45.680
<v Speaker 1>many times we'll pose a question to let's say, chat YOUPT,

0:16:45.920 --> 0:16:48.000
<v Speaker 1>it'll give some answer. I'll think, my god, it's got

0:16:48.040 --> 0:16:50.760
<v Speaker 1>theory of mind. It's really done something strange. But in fact,

0:16:50.760 --> 0:16:53.240
<v Speaker 1>you're just hearing this intelligence echo, by which I mean

0:16:54.000 --> 0:16:55.120
<v Speaker 1>people already knew this.

0:16:55.360 --> 0:16:57.000
<v Speaker 3>You just didn't know that, or you didn't know that

0:16:57.040 --> 0:16:57.800
<v Speaker 3>other people do that.

0:16:59.240 --> 0:17:04.119
<v Speaker 2>Sure, but I mean we're right back in this territory

0:17:04.160 --> 0:17:07.760
<v Speaker 2>of mysticism and ontology. Because if somebody wished to disagree

0:17:07.840 --> 0:17:09.320
<v Speaker 2>with you, and that person would not be me.

0:17:09.840 --> 0:17:10.880
<v Speaker 3>But if somebody wished to.

0:17:10.800 --> 0:17:13.920
<v Speaker 2>Disagree with you, they'd say that all those people were

0:17:14.000 --> 0:17:17.000
<v Speaker 2>just reflecting things like that anyway, So there's no difference

0:17:17.080 --> 0:17:19.719
<v Speaker 2>that the AI and the people are trained on are

0:17:19.920 --> 0:17:23.800
<v Speaker 2>in the same status, the same category. And so what

0:17:23.960 --> 0:17:26.040
<v Speaker 2>if the AI got to it this way with people

0:17:26.119 --> 0:17:27.840
<v Speaker 2>in the way, it's still the same thing that people

0:17:27.920 --> 0:17:31.280
<v Speaker 2>are doing. And why are you making this distinction? Why

0:17:31.280 --> 0:17:33.160
<v Speaker 2>are you trying to be all mystical in love people?

0:17:33.200 --> 0:17:35.919
<v Speaker 2>What's wrong with you? And so I'm just going to

0:17:35.960 --> 0:17:39.120
<v Speaker 2>declare you should be mystical and elevate people because it's

0:17:39.160 --> 0:17:43.280
<v Speaker 2>the only thing. Weirdly, this little bit of faith, which

0:17:43.400 --> 0:17:46.200
<v Speaker 2>I seem irrational, is the only way to save rationality

0:17:46.280 --> 0:17:51.240
<v Speaker 2>because otherwise, once again we have no beneficiary for technology.

0:17:51.720 --> 0:17:55.520
<v Speaker 2>You can have science without elevating people, but you can't

0:17:55.560 --> 0:18:00.479
<v Speaker 2>have technology. Technology has to have a beneficiary. The problem

0:18:00.520 --> 0:18:05.360
<v Speaker 2>to be solved is serving people, and technology isn't sensible

0:18:05.359 --> 0:18:08.440
<v Speaker 2>without a problem to be solved. Science is you can

0:18:08.440 --> 0:18:10.520
<v Speaker 2>have a science theory without knowing what it's for. You

0:18:10.560 --> 0:18:14.480
<v Speaker 2>can't have a technology without knowing what it's for. Or

0:18:14.520 --> 0:18:16.480
<v Speaker 2>maybe I mean one could argue that you can have

0:18:16.520 --> 0:18:19.680
<v Speaker 2>some kind of underlying, very fundamental technology that might be

0:18:19.680 --> 0:18:22.440
<v Speaker 2>applied in different ways, but ultimately to actually make any

0:18:22.480 --> 0:18:24.960
<v Speaker 2>instance of it, it has to be for something. There

0:18:25.040 --> 0:18:26.440
<v Speaker 2>has to be a human at the end of the

0:18:26.520 --> 0:18:29.639
<v Speaker 2>chain for it to be sensible. So I totally agree

0:18:29.640 --> 0:18:31.480
<v Speaker 2>with you, but you have to recognize that there's a

0:18:31.520 --> 0:18:34.159
<v Speaker 2>figure ground reversal there, And somebody who disagrees with you

0:18:34.280 --> 0:18:36.160
<v Speaker 2>might just say, well, the AI and the people are

0:18:36.200 --> 0:18:38.800
<v Speaker 2>the same and they're both just getting this information. But

0:18:39.160 --> 0:18:43.679
<v Speaker 2>I still think our only choice to remain rational technologists

0:18:43.840 --> 0:18:45.200
<v Speaker 2>is to accept that we have to be kind of

0:18:45.240 --> 0:18:50.320
<v Speaker 2>mystical humanists to frame it, and that's not comfortable for

0:18:50.320 --> 0:18:52.200
<v Speaker 2>a lot of people. But I think if you really

0:18:52.240 --> 0:18:54.880
<v Speaker 2>examine the logic of the situation, you'll come to agree

0:18:54.960 --> 0:18:55.159
<v Speaker 2>with me.

0:18:55.600 --> 0:18:57.920
<v Speaker 1>Oh, I already agree with you, actually, And that's why,

0:18:58.119 --> 0:19:01.000
<v Speaker 1>that's why I really care about this intelligence echo illusion,

0:19:01.040 --> 0:19:05.120
<v Speaker 1>which is to say, you're hearing the echoes of people

0:19:05.160 --> 0:19:08.040
<v Speaker 1>who've said this thing before, but you mistake it for

0:19:08.119 --> 0:19:11.280
<v Speaker 1>the voice of an AI that has theory of mind.

0:19:11.400 --> 0:19:15.160
<v Speaker 2>Yeah, and so why can't you Let's say the AI

0:19:15.320 --> 0:19:18.200
<v Speaker 2>gets the puzzle with the bag, right, Okay, let's say

0:19:18.280 --> 0:19:23.639
<v Speaker 2>those now in my preferred future, where you then get

0:19:24.240 --> 0:19:27.159
<v Speaker 2>a list of the top twelve or twenty five or

0:19:27.200 --> 0:19:30.400
<v Speaker 2>whatever it is people who contributed. What it might say

0:19:30.520 --> 0:19:34.040
<v Speaker 2>is I would tell you, but actually there are a

0:19:34.119 --> 0:19:36.800
<v Speaker 2>million people interchangeably in the first slot here because this

0:19:36.840 --> 0:19:40.840
<v Speaker 2>thing is so common, and that has to be an

0:19:40.880 --> 0:19:43.920
<v Speaker 2>acceptable and honest answer. So like if you say, hey,

0:19:43.960 --> 0:19:47.000
<v Speaker 2>could you do something like I want a cat that's

0:19:47.400 --> 0:19:50.520
<v Speaker 2>playing the banjo or whatever, and they'll say, got to

0:19:50.560 --> 0:19:53.680
<v Speaker 2>tell you a lot of cats out there. It's the Internet, remember,

0:19:54.040 --> 0:19:57.520
<v Speaker 2>lots of cats, So it really could have been any cat.

0:19:57.600 --> 0:19:59.920
<v Speaker 3>In this case, it was this cat. But that's not special.

0:20:00.240 --> 0:20:02.880
<v Speaker 2>And so we have to have a fungibility measure, not

0:20:02.960 --> 0:20:06.399
<v Speaker 2>just an influence measure. And that that's so, this whole

0:20:06.800 --> 0:20:09.919
<v Speaker 2>future world of acknowledging people is a bit more subtle

0:20:09.960 --> 0:20:11.160
<v Speaker 2>and complicated than.

0:20:11.280 --> 0:20:12.119
<v Speaker 3>I'd like it to be.

0:20:12.280 --> 0:20:15.080
<v Speaker 2>But I've never seen anything about it that doesn't make

0:20:15.119 --> 0:20:16.400
<v Speaker 2>sense or is unachievable.

0:20:17.400 --> 0:20:20.199
<v Speaker 1>Right, So one idea that you've mentioned me in the

0:20:20.240 --> 0:20:22.719
<v Speaker 1>past would be, I can't remember if I got this

0:20:22.800 --> 0:20:24.720
<v Speaker 1>term digital dividends right, if I made that up some

0:20:24.760 --> 0:20:26.960
<v Speaker 1>whe along the way. But the idea is that a

0:20:27.040 --> 0:20:29.760
<v Speaker 1>creator gets paid, He gets a few nickels here and

0:20:29.800 --> 0:20:34.080
<v Speaker 1>there because on you know, Dolly, it's used his painting

0:20:34.600 --> 0:20:35.960
<v Speaker 1>as part of the influence.

0:20:36.320 --> 0:20:37.280
<v Speaker 3>Yeah.

0:20:37.560 --> 0:20:41.200
<v Speaker 2>So the thing about this idea, which currently the term

0:20:41.240 --> 0:20:44.960
<v Speaker 2>I like is is dated dignity. Many will object and

0:20:45.040 --> 0:20:48.600
<v Speaker 2>correctly that in a lot of cases, if somebody's output

0:20:48.680 --> 0:20:51.160
<v Speaker 2>happens to include a picture of your shoe for some

0:20:51.240 --> 0:20:54.760
<v Speaker 2>image that has a shoe or something, or maybe they

0:20:54.840 --> 0:20:57.239
<v Speaker 2>used your drone footage of waves for the wave thing

0:20:57.359 --> 0:21:00.880
<v Speaker 2>or something, what you'll get literally would be very small.

0:21:00.920 --> 0:21:03.320
<v Speaker 2>It might be quite a bit less than Nichols, right,

0:21:03.720 --> 0:21:04.720
<v Speaker 2>But that's not the point.

0:21:04.760 --> 0:21:08.640
<v Speaker 3>See, the question is whether we think of the.

0:21:08.640 --> 0:21:11.720
<v Speaker 2>Future as a linear extension of what we already know

0:21:11.960 --> 0:21:17.480
<v Speaker 2>or something really expansive and fantastic and unpredictable. And a

0:21:17.520 --> 0:21:20.240
<v Speaker 2>lot of the people who tell me that they believe

0:21:20.240 --> 0:21:22.760
<v Speaker 2>in this radical future where there's a singularity, where this

0:21:22.840 --> 0:21:25.280
<v Speaker 2>AI transformers reality and a blink of an eye and

0:21:25.400 --> 0:21:28.440
<v Speaker 2>humans are obsolete, and they're actually thinking in a very

0:21:28.480 --> 0:21:31.440
<v Speaker 2>linear way because what they believe is the AI as

0:21:31.480 --> 0:21:35.159
<v Speaker 2>that exists is capable of creating the AI of the future,

0:21:35.160 --> 0:21:37.639
<v Speaker 2>and that we already know in a sense everything that

0:21:37.680 --> 0:21:39.719
<v Speaker 2>needs to be known, and all we have to do

0:21:39.760 --> 0:21:42.080
<v Speaker 2>is turn the on switch. In future generations won't be

0:21:42.160 --> 0:21:45.719
<v Speaker 2>more creative than us. Where the final creative, you know?

0:21:46.240 --> 0:21:49.000
<v Speaker 2>And I think that might not be the future.

0:21:49.000 --> 0:21:49.320
<v Speaker 3>I want.

0:21:49.359 --> 0:21:53.760
<v Speaker 2>What if the future is one in which there's incredible, creative,

0:21:53.800 --> 0:21:59.399
<v Speaker 2>productive things happening, and I'm not creative enough perhaps to

0:21:59.400 --> 0:22:00.600
<v Speaker 2>come up with the examples.

0:22:00.640 --> 0:22:02.360
<v Speaker 3>I'll just use the one I used last.

0:22:02.119 --> 0:22:05.920
<v Speaker 2>Week, which is, in the future, we have some way

0:22:05.920 --> 0:22:10.080
<v Speaker 2>of extending our bodies physiologically, so we can fly around

0:22:10.080 --> 0:22:12.800
<v Speaker 2>an open space in the vacuum and do all sorts

0:22:12.840 --> 0:22:16.720
<v Speaker 2>of things and propel ourselves. And what if in order

0:22:16.760 --> 0:22:19.280
<v Speaker 2>to do those body extensions there's some sort of bioprinter

0:22:19.400 --> 0:22:22.240
<v Speaker 2>we get into. And what if they're aisystems that run

0:22:22.280 --> 0:22:24.680
<v Speaker 2>that because it's the only way. And what if there's

0:22:24.720 --> 0:22:27.480
<v Speaker 2>a whole new creative class of people who've contributed data

0:22:27.480 --> 0:22:29.920
<v Speaker 2>to that thing. All right, so that's the whole new thing,

0:22:30.240 --> 0:22:32.320
<v Speaker 2>and I think the best of those people might get

0:22:32.400 --> 0:22:35.560
<v Speaker 2>rich from contributing data that then is able to be

0:22:35.560 --> 0:22:38.320
<v Speaker 2>beneficial to people through a large model that their data

0:22:38.359 --> 0:22:42.120
<v Speaker 2>helped train. And what if there's more and more examples

0:22:42.240 --> 0:22:44.400
<v Speaker 2>like that. What if there's thousands and millions of tens

0:22:44.440 --> 0:22:47.920
<v Speaker 2>of millions as humanity expands into an ever more creative,

0:22:47.960 --> 0:22:51.119
<v Speaker 2>interesting future instead of a future that we already know

0:22:51.200 --> 0:22:53.080
<v Speaker 2>all about because we're the smartest people.

0:22:52.840 --> 0:22:53.520
<v Speaker 3>Who will ever be.

0:22:54.440 --> 0:22:56.639
<v Speaker 2>And so in that case, we start to see niches

0:22:56.640 --> 0:22:59.640
<v Speaker 2>for people who are data creators for AI where they

0:22:59.720 --> 0:23:02.640
<v Speaker 2>really our novel and they're really making money. And that's

0:23:02.640 --> 0:23:06.480
<v Speaker 2>what people think so linearly like they like, it's not

0:23:06.560 --> 0:23:09.480
<v Speaker 2>just TikTok, it's like flying around in space without a

0:23:09.480 --> 0:23:13.000
<v Speaker 2>space suit, like free your mind. Imagine a future more

0:23:13.080 --> 0:23:16.760
<v Speaker 2>radical than you assume, yeah.

0:23:16.280 --> 0:23:19.880
<v Speaker 1>And maybe that there's a very clear economic incentive there,

0:23:19.920 --> 0:23:22.560
<v Speaker 1>which is to say, let's say that I have let's

0:23:22.560 --> 0:23:24.920
<v Speaker 1>say I'm putting pictures of cats online. As you point

0:23:24.920 --> 0:23:28.359
<v Speaker 1>out that anytime Dolly puts together a picture of a cat,

0:23:28.760 --> 0:23:31.919
<v Speaker 1>mine is one of millions of pictures. So I can't

0:23:32.000 --> 0:23:34.719
<v Speaker 1>make any money that way. As a creator, I am

0:23:34.760 --> 0:23:38.439
<v Speaker 1>therefore incentivized to do things that are really new, to

0:23:38.520 --> 0:23:40.399
<v Speaker 1>really push the matteries of what had been done in

0:23:40.480 --> 0:23:42.199
<v Speaker 1>terms of art, poetry, whatever it is.

0:23:42.400 --> 0:23:45.120
<v Speaker 2>Let's say a little bit more about that incentive, because

0:23:45.160 --> 0:23:48.440
<v Speaker 2>that's very important. There's a question of whether the network

0:23:48.520 --> 0:23:52.159
<v Speaker 2>dynamics dominate what actually happens over the network or not.

0:23:52.720 --> 0:23:57.520
<v Speaker 2>So when network dynamics dominate, what you see is phenomena

0:23:57.720 --> 0:24:03.400
<v Speaker 2>of virality and memes, because those are network effects where

0:24:03.400 --> 0:24:05.960
<v Speaker 2>it doesn't really matter what the meme is. It doesn't

0:24:06.000 --> 0:24:10.159
<v Speaker 2>necessarily matter what goes viral. Sometimes silly things do, sometimes

0:24:10.160 --> 0:24:12.840
<v Speaker 2>interesting things do, but it can go either way, all right.

0:24:13.800 --> 0:24:17.879
<v Speaker 2>In a real economy, when somebody loses money on some

0:24:17.920 --> 0:24:22.080
<v Speaker 2>stupid NFT or meme, stock or something, that's the network

0:24:22.080 --> 0:24:27.760
<v Speaker 2>effect dominating. Usually typically the reason our world hasn't collapsed totally.

0:24:27.880 --> 0:24:31.880
<v Speaker 2>Is that when people spend money, it's not on total nonsense,

0:24:31.920 --> 0:24:35.160
<v Speaker 2>but it's at least slightly on something that's real of

0:24:35.240 --> 0:24:39.760
<v Speaker 2>some use. Okay, And in that world of a real economy,

0:24:39.880 --> 0:24:42.800
<v Speaker 2>there are incentives to make things better and there's a

0:24:42.920 --> 0:24:46.000
<v Speaker 2>chance for competition to be meaningful. But when the structure

0:24:46.040 --> 0:24:48.840
<v Speaker 2>itself dominates rather than the thing the structure is channeling,

0:24:49.200 --> 0:24:52.000
<v Speaker 2>then you end up in this make believe world. And

0:24:52.080 --> 0:24:54.720
<v Speaker 2>on digital networks, the make believe world is always about

0:24:54.760 --> 0:24:57.000
<v Speaker 2>being the lucky one who gets in on the virality.

0:24:57.400 --> 0:25:00.119
<v Speaker 2>Your startup turns into the hub for this giant thing

0:25:00.480 --> 0:25:03.239
<v Speaker 2>that benefits from everybody else's work, but you benefit more

0:25:03.240 --> 0:25:06.520
<v Speaker 2>from them. You get to have TikTok or Instagram or something.

0:25:08.160 --> 0:25:10.880
<v Speaker 2>In this world, you have the meme stock, you have

0:25:11.400 --> 0:25:14.919
<v Speaker 2>the meme video, you have whatever, but you can't have

0:25:14.960 --> 0:25:17.159
<v Speaker 2>a predict who will get that. There's a randomness to it,

0:25:17.200 --> 0:25:21.439
<v Speaker 2>which means it's not fundamentally productive. In the future, we

0:25:21.520 --> 0:25:25.719
<v Speaker 2>need to suppress the network's own influence on what happens

0:25:25.720 --> 0:25:27.640
<v Speaker 2>on the network and have it back off and let

0:25:27.680 --> 0:25:31.600
<v Speaker 2>the content itself, whatever that might be, dominate, all right,

0:25:31.680 --> 0:25:35.200
<v Speaker 2>and then that creates reality that creates incentives for improving reality.

0:25:35.400 --> 0:25:39.680
<v Speaker 2>So the most fundamental idea is that you have this

0:25:39.800 --> 0:25:45.040
<v Speaker 2>data structure that gradually changes and settles into something that

0:25:45.480 --> 0:25:50.159
<v Speaker 2>can do some work. It happens automatically or semi automatically,

0:25:50.320 --> 0:25:54.000
<v Speaker 2>or not explicitly programming it. Now, there are a lot

0:25:54.240 --> 0:25:57.359
<v Speaker 2>of algorithms that have that kind of settling effect, but

0:25:57.680 --> 0:26:03.720
<v Speaker 2>the grandaddy of them is called gradient, and there's a

0:26:03.760 --> 0:26:07.160
<v Speaker 2>wonderful mathematical dispute about who should be credited with it,

0:26:07.240 --> 0:26:10.840
<v Speaker 2>but it's either Cashi or Ramon, So it goes way back.

0:26:11.680 --> 0:26:15.919
<v Speaker 2>And it's sometimes thought about as being like walking on

0:26:16.000 --> 0:26:18.679
<v Speaker 2>a landscape. So when we walk up the landscape, we

0:26:18.760 --> 0:26:21.560
<v Speaker 2>just think we're walking at lungitude and latitude and it's

0:26:21.600 --> 0:26:22.240
<v Speaker 2>some elevation.

0:26:22.400 --> 0:26:24.640
<v Speaker 3>But in AI we're dealing with very very.

0:26:24.640 --> 0:26:28.359
<v Speaker 2>High dimensional spaces, which is a concept some people aren't

0:26:28.359 --> 0:26:31.000
<v Speaker 2>familiar with. But any rate, let's just imagine we're walking

0:26:31.000 --> 0:26:34.080
<v Speaker 2>on a landscape, and so you want to descend and

0:26:34.160 --> 0:26:38.080
<v Speaker 2>you want to find a comfortable place, like where's the

0:26:38.160 --> 0:26:42.320
<v Speaker 2>place you can go? That's really low if you don't

0:26:42.359 --> 0:26:44.400
<v Speaker 2>know an advance, you don't have a map or an overview,

0:26:44.400 --> 0:26:47.080
<v Speaker 2>so you start wandering around. Now the dangerous if you

0:26:47.240 --> 0:26:49.520
<v Speaker 2>just say, oh, here's a nice depression, I'll go here,

0:26:50.040 --> 0:26:51.760
<v Speaker 2>it might not be as low as some other one

0:26:51.800 --> 0:26:53.800
<v Speaker 2>that would be available, which would be a better solution,

0:26:54.600 --> 0:26:57.000
<v Speaker 2>And so you have to take some precautions and start

0:26:57.000 --> 0:26:59.320
<v Speaker 2>to have some kind of way of saying, well, I'm

0:26:59.359 --> 0:27:01.159
<v Speaker 2>going to kind of go around a little bit so

0:27:01.200 --> 0:27:03.440
<v Speaker 2>I don't get caught in the place that actually isn't

0:27:03.440 --> 0:27:06.119
<v Speaker 2>ideal or something like that. You have to have a strategy, okay,

0:27:06.600 --> 0:27:09.560
<v Speaker 2>And so the point is not to get caught at

0:27:09.600 --> 0:27:10.679
<v Speaker 2>some halfway solution.

0:27:10.800 --> 0:27:12.439
<v Speaker 3>You want to really kind of jump around.

0:27:12.840 --> 0:27:17.080
<v Speaker 2>Now with AI systems, the whole point like if you

0:27:17.119 --> 0:27:18.960
<v Speaker 2>want to, let's say I want you to have a

0:27:19.520 --> 0:27:22.479
<v Speaker 2>diffusion model that puts a cat on a motorcycle and

0:27:22.560 --> 0:27:25.680
<v Speaker 2>with whatever. Okay, so if the cat's riding a motorcycle,

0:27:27.000 --> 0:27:29.119
<v Speaker 2>the easy solution is just to make a cat or

0:27:29.119 --> 0:27:32.439
<v Speaker 2>a motorcycle, getting both kind of hard. And so the

0:27:32.480 --> 0:27:35.879
<v Speaker 2>easy solution that isn't useful is very similar to getting

0:27:35.920 --> 0:27:38.880
<v Speaker 2>stuck in one of these intermediate dimples that doesn't.

0:27:38.520 --> 0:27:40.360
<v Speaker 3>Go as low as what you might really want.

0:27:40.400 --> 0:27:42.080
<v Speaker 2>You wanted to send to a better one where you're

0:27:42.119 --> 0:27:45.000
<v Speaker 2>getting both the cat and the motorcycle is you have

0:27:45.080 --> 0:27:48.040
<v Speaker 2>to do some extra little thing to broaden your scope.

0:27:48.400 --> 0:27:51.400
<v Speaker 2>So what I was going to say is this sort

0:27:51.440 --> 0:27:55.800
<v Speaker 2>of this sort of strategy is fundamental. It's the very

0:27:56.000 --> 0:27:58.760
<v Speaker 2>core basics for what we do these days with AI.

0:27:59.200 --> 0:28:03.120
<v Speaker 2>Their many, very many versions, but this way of doing

0:28:03.160 --> 0:28:07.240
<v Speaker 2>things is the fundamental trick of AI. But when we

0:28:07.320 --> 0:28:11.600
<v Speaker 2>put those AI algorithms out in society, we forget. We

0:28:11.720 --> 0:28:14.560
<v Speaker 2>just say, oh, well, if the AI algorithm can make

0:28:14.600 --> 0:28:18.520
<v Speaker 2>money by getting kids addicted to vain attention seeking and

0:28:18.840 --> 0:28:22.679
<v Speaker 2>low attention spans, best, fine. But it's not. That's one

0:28:22.720 --> 0:28:25.239
<v Speaker 2>of these dimples. It's not good for society, it's not

0:28:25.280 --> 0:28:30.080
<v Speaker 2>good for the kid. And so the nerdy way I

0:28:30.119 --> 0:28:32.879
<v Speaker 2>would put some of this is to say the same

0:28:32.920 --> 0:28:35.159
<v Speaker 2>discipline we need to get the algorithms to work at

0:28:35.200 --> 0:28:38.840
<v Speaker 2>all needs to be applied to the way we deploy

0:28:38.880 --> 0:28:42.200
<v Speaker 2>these algorithms out in the larger society. And that might

0:28:42.240 --> 0:28:44.560
<v Speaker 2>be a nerdy way of saying something similar to what

0:28:44.600 --> 0:28:46.280
<v Speaker 2>many of us have been saying about trying to make

0:28:46.280 --> 0:28:47.680
<v Speaker 2>something that serves people better.

0:29:05.560 --> 0:29:08.280
<v Speaker 1>So wait, just so I put a cap on that

0:29:08.360 --> 0:29:11.880
<v Speaker 1>isn't the case, then that you agree that it would

0:29:11.880 --> 0:29:15.880
<v Speaker 1>incentivize creators to be more creative if they were doing

0:29:15.960 --> 0:29:19.520
<v Speaker 1>things that hadn't already been done by a million other people,

0:29:19.520 --> 0:29:21.360
<v Speaker 1>because they get no money for that. But if they

0:29:21.440 --> 0:29:24.280
<v Speaker 1>do something that is really new, then they can. There's

0:29:24.280 --> 0:29:25.640
<v Speaker 1>a potential to make a lot of money from that.

0:29:25.960 --> 0:29:30.120
<v Speaker 2>So one of the fundamental claims of people who like

0:29:30.640 --> 0:29:34.640
<v Speaker 2>market economies is that they foster creativity. The type of

0:29:34.680 --> 0:29:38.440
<v Speaker 2>competition that happens in a market economy is said to

0:29:38.800 --> 0:29:41.840
<v Speaker 2>insteadivize creativity. I am on the side of the people

0:29:41.840 --> 0:29:45.880
<v Speaker 2>who believe that market's foster creativity. I just I can't

0:29:45.960 --> 0:29:48.880
<v Speaker 2>prove it, but I can almost. I think I can

0:29:48.920 --> 0:29:51.680
<v Speaker 2>almost prove it. I mean, I mean, look around. We're

0:29:51.680 --> 0:29:53.880
<v Speaker 2>in Silicon Valley, for God's sakes, give me a break.

0:29:54.000 --> 0:29:56.760
<v Speaker 2>Of course, of course they do. Of course markets do.

0:29:57.360 --> 0:30:02.440
<v Speaker 2>But the Internet. When the Internet is allowed to be

0:30:02.560 --> 0:30:06.960
<v Speaker 2>dominated by network effects, by virality, and by memes, then

0:30:07.000 --> 0:30:10.040
<v Speaker 2>it no longer does, because then you're chasing the benefits

0:30:10.080 --> 0:30:13.760
<v Speaker 2>intrinsic to the Internet, which are not in themselves creative,

0:30:14.400 --> 0:30:17.440
<v Speaker 2>but just this kind of random, lottery winning kind of

0:30:17.480 --> 0:30:17.800
<v Speaker 2>a thing.

0:30:18.280 --> 0:30:18.480
<v Speaker 3>Right.

0:30:18.640 --> 0:30:22.719
<v Speaker 1>That's why I think, Yeah, providing an economic counterbalance where

0:30:23.280 --> 0:30:27.480
<v Speaker 1>the less MEMI you are, and the more original you are,

0:30:29.200 --> 0:30:34.120
<v Speaker 1>the more that has economic value. Way to reverse the

0:30:34.160 --> 0:30:37.920
<v Speaker 1>network property, because I'm not sure how it's going on

0:30:37.960 --> 0:30:38.600
<v Speaker 1>its own right.

0:30:38.680 --> 0:30:41.720
<v Speaker 2>So one of the ways I summarize data dignity is

0:30:41.760 --> 0:30:44.800
<v Speaker 2>to say, whenever we have an opportunity to create a

0:30:44.840 --> 0:30:48.320
<v Speaker 2>new creative class instead of a new dependent class in

0:30:48.360 --> 0:30:50.880
<v Speaker 2>the future, we should do that. So if there's a

0:30:50.920 --> 0:30:53.520
<v Speaker 2>bunch of people who might be put out of work

0:30:53.640 --> 0:30:57.440
<v Speaker 2>because robots are driving the cars or whatever, we should

0:30:57.480 --> 0:30:59.520
<v Speaker 2>try to find some other group of people who might

0:30:59.560 --> 0:31:01.640
<v Speaker 2>be creating in some way that they could be paid for,

0:31:01.720 --> 0:31:03.480
<v Speaker 2>where now we don't expect them to be paid like

0:31:03.520 --> 0:31:07.920
<v Speaker 2>we should be creating creative classes. There's another caveat or

0:31:08.040 --> 0:31:11.400
<v Speaker 2>qualification to this idea, which is that we can't expect

0:31:11.440 --> 0:31:14.440
<v Speaker 2>everybody to be creative, and we can't allow creativity to

0:31:14.480 --> 0:31:17.720
<v Speaker 2>become the measure of human worth or value. But I

0:31:17.880 --> 0:31:21.040
<v Speaker 2>do think whenever you can create a new creative class,

0:31:22.000 --> 0:31:27.920
<v Speaker 2>it's imperative to do so.

0:31:27.960 --> 0:31:35.080
<v Speaker 1>That was my conversation with Jaron Lanier, computer scientist, inventor, thinker, writer, innovator, critic, technologist.

0:31:35.120 --> 0:31:37.840
<v Speaker 1>The issue we talked about today is that people who

0:31:37.880 --> 0:31:41.920
<v Speaker 1>are creative, the painters, the writers, the composers. They have

0:31:42.000 --> 0:31:47.040
<v Speaker 1>been justifiably worried ever since AI really hit its stride

0:31:47.120 --> 0:31:49.960
<v Speaker 1>just a couple of years ago, because the stuff AI

0:31:50.080 --> 0:31:57.240
<v Speaker 1>can create is stunning. But maybe with the right economic structures,

0:31:57.600 --> 0:32:03.360
<v Speaker 1>AI can launch us farther into human creativity. This just

0:32:03.400 --> 0:32:08.120
<v Speaker 1>requires incentivizing things so that a creative doesn't do just

0:32:08.240 --> 0:32:11.080
<v Speaker 1>another thing that's been done before, like another cat video,

0:32:11.520 --> 0:32:18.120
<v Speaker 1>but instead something genuinely bleeding edge. In a data dignity economy,

0:32:18.200 --> 0:32:21.720
<v Speaker 1>you will benefit only when you reach out into the

0:32:22.080 --> 0:32:25.960
<v Speaker 1>uncharted wilderness to do something novel, and when the AI

0:32:26.400 --> 0:32:29.680
<v Speaker 1>draws from that and other people benefit from that, then

0:32:29.680 --> 0:32:31.920
<v Speaker 1>you can make a living that way. This is a

0:32:31.960 --> 0:32:36.680
<v Speaker 1>way to reward an exploration of the frontiers that speeds

0:32:36.760 --> 0:32:39.920
<v Speaker 1>up the whole human race because it encourages people to

0:32:40.000 --> 0:32:44.960
<v Speaker 1>be creatively productive, not reproductive. So as we think about

0:32:45.000 --> 0:32:48.880
<v Speaker 1>the world, we've suddenly shot into a world with AI

0:32:49.080 --> 0:32:53.239
<v Speaker 1>disrupting every industry. I hope today's conversation will remind us

0:32:53.440 --> 0:32:58.720
<v Speaker 1>of a fundamental truth. AI isn't a standalone creation. It's

0:32:58.760 --> 0:33:04.520
<v Speaker 1>a mirror. It's a mosaic of countless human contributions. Every

0:33:04.760 --> 0:33:08.000
<v Speaker 1>line of code that it writes. Every line of poetry,

0:33:08.120 --> 0:33:11.480
<v Speaker 1>every beautiful piece of art is there, all reflections of

0:33:11.600 --> 0:33:16.160
<v Speaker 1>human creativity and human effort. So the choice to view

0:33:16.520 --> 0:33:22.360
<v Speaker 1>AI as a collaborative endeavor rather than an autonomous entity,

0:33:22.880 --> 0:33:26.200
<v Speaker 1>it's not just a philosophical stance. It's a call to

0:33:26.280 --> 0:33:31.400
<v Speaker 1>honor the humans behind the machine and to ensure that

0:33:31.480 --> 0:33:38.880
<v Speaker 1>they are valued in a future shaped by their contributions.

0:33:40.040 --> 0:33:42.920
<v Speaker 1>Go to Eagleman dot com slash podcast for more information

0:33:43.000 --> 0:33:46.200
<v Speaker 1>and to find further reading. Send me an email at

0:33:46.240 --> 0:33:50.080
<v Speaker 1>podcasts at eagleman dot com with questions or discussion, and

0:33:50.200 --> 0:33:53.240
<v Speaker 1>check out and subscribe to Inner Cosmos on YouTube for

0:33:53.360 --> 0:33:58.720
<v Speaker 1>videos of each episode and to leave comments Until next time.

0:33:58.880 --> 0:34:01.680
<v Speaker 1>I'm David Eagleman, and this is Inner Cosmos.