WEBVTT - Mustafa Suleyman: AI Should Serve Humanity, Not Replace It

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<v Speaker 1>The Builders is a production of Kaleidoscope and iHeart, presented

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<v Speaker 1>by Ramp. Ramp is a financial operations platform that helps

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<v Speaker 1>ambitious companies manage their finances so their teams can spend

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<v Speaker 1>less time chasing receipts and approvals and more time bringing extraordinary.

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<v Speaker 2>Ideas to life.

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<v Speaker 1>I'm Walter Isaacson. Welcome to The Builders, my new series

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<v Speaker 1>of interviews featuring the most consequential minds Shaping Our Future.

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<v Speaker 1>The following conversation with Mustafa Suleiman, Microsoft's AI CEO, was

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<v Speaker 1>recorded in front of a live audience in New York

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<v Speaker 1>City on October 12th. A month before this interview, a

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<v Speaker 1>wave of anxiety swept the nation. Engineers were leaving frontier

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<v Speaker 1>labs Warning of doomsday scenarios and a public debate about

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<v Speaker 1>AI regulation began to unfold. Suddenly, every tech leader in

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<v Speaker 1>Silicon Valley was talking about the virtues and perils of AI.

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<v Speaker 3>Leading voices in artificial intelligence are now ringing the alarm

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<v Speaker 3>on the speed of development and the need for additional

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<v Speaker 3>safety measures.

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<v Speaker 4>I believe that this is the most important global security

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<v Speaker 4>issue facing the world today.

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<v Speaker 1>But Mustafa stood out among the chorus of tech CEOs.

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<v Speaker 1>In a sea of doomers and of eternal optimists, he

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<v Speaker 1>seemed eager to communicate a more nuanced vision for the

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<v Speaker 1>future of AI. He published an essay calling out Anthropic

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<v Speaker 1>and their efforts to develop AI consciousness. He released a

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<v Speaker 1>new Microsoft AI code of conduct, detailing Microsoft's commitments to

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<v Speaker 1>specific safety measures. And while there's no doubt that technology

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<v Speaker 1>will continue to evolve, there's one thing Mustafa Suleiman is

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<v Speaker 1>crystal clear about. Humans are more important than AI. Let's

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<v Speaker 1>find out exactly what he means by that. Here's my

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<v Speaker 1>conversation with Mustafa Suleiman. I'm going to read you something

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<v Speaker 1>you wrote in your very famous essay, the warning that

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<v Speaker 1>you did last month. You said, AIs are not conscious.

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<v Speaker 1>They don't feel, experience, or suffer. They do not have

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<v Speaker 1>innate preferences or underlying motivations. They are simply sequence completion engines,

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<v Speaker 1>internally hollow. If humanity is to flourish, that is how

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<v Speaker 1>they must remain. First of all, Why did you write that?

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<v Speaker 4>I mean, it does feel pretty surreal to have to

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<v Speaker 4>declare that. But it might concern everybody to know that

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<v Speaker 4>there are a lot of people who truly think that

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<v Speaker 4>AIs may well be conscious enough, if not entirely conscious,

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<v Speaker 4>but conscious enough today that they deserve our welfare. So

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<v Speaker 4>there's a growing movement of AI welfare.

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<v Speaker 1>And in specific, the anthropic people who you've been friendly with,

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<v Speaker 1>but this was a answer to anthropic, right?

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<v Speaker 2>Yeah, somewhat.

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<v Speaker 4>I mean, there are lots of other people outside of

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<v Speaker 4>anthropic and around anthropic who really, really do believe this.

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<v Speaker 4>I think anthropic's official position is that they're uncertain about

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<v Speaker 4>whether or not it deserves our welfare, whether or not

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<v Speaker 4>Claude is a moral patient, as they say. And, you know,

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<v Speaker 4>I think that that is a, is a very dangerous

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<v Speaker 4>route because consciousness is literally the fundamental basis of our

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<v Speaker 4>political and legal system. I mean, we give people rights

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<v Speaker 4>and hopefully animals rights to some extent because they can

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<v Speaker 4>suffer and because their biology is the site of experience,

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<v Speaker 4>you know, like the pharmacology is where pain sits. And

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<v Speaker 4>pain is really, I think, the basis of the conscious experience,

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<v Speaker 4>the awareness and the introspection that has evolved as a

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<v Speaker 4>result of being able to steer between left and right,

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<v Speaker 4>make choices about how to proceed. That is the fundamental

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<v Speaker 4>property of a conscious system.

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<v Speaker 1>So you need to be embodied in a physical body

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<v Speaker 1>to have consciousness, you think.

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<v Speaker 2>I think so. An organic body. I think that's right.

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<v Speaker 4>I mean, that's what we have known consciousness to be today,

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<v Speaker 4>even though obviously the science of consciousness is not fully settled.

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<v Speaker 4>It's an open area of research, but to the best

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<v Speaker 4>of our knowledge today, that is what consciousness is. And

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<v Speaker 4>there are other people that argue that consciousness is a

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<v Speaker 4>functional property. And so if it, you know, they say like,

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<v Speaker 4>if it looks like a duck and it quacks like

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<v Speaker 4>a duck, it's probably a duck.

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<v Speaker 2>That's sort of a common phrase.

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<v Speaker 4>And I think, you know, the problem with that is

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<v Speaker 4>that the burden of proof is on the people who

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<v Speaker 4>are saying that this thing is conscious to show some

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<v Speaker 4>evidence for it.

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<v Speaker 2>So far, we don't have any evidence that it is.

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<v Speaker 1>But that's sort of an Alan Turing way of looking

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<v Speaker 1>at it, which is if it can imitate totally consciousness,

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<v Speaker 1>you can't tell it apart.

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<v Speaker 2>How can you make a distinction? Well, he didn't say

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<v Speaker 2>that it was conscious.

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<v Speaker 4>I mean, he said that the Turing test was really

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<v Speaker 4>a test of whether it could perform as well as

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<v Speaker 4>a human at conversation, and obviously by implication, knowledge and intelligence.

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<v Speaker 2>And thinking.

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<v Speaker 4>And thinking, yeah, but I mean, thinking is in a

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<v Speaker 4>way a bit of an anthropomorphization, right?

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<v Speaker 2>I mean, you know, it's not really thinking as a

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<v Speaker 2>human thinks.

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<v Speaker 4>It appears to be thinking and it can produce incredibly

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<v Speaker 4>complex behaviors and deliver unbelievably impressive results. But all it's

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<v Speaker 4>doing is predicting the likely next word in a sequence

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<v Speaker 4>of words. it isn't actually experiencing that idea of what

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<v Speaker 4>it means to be bright silver or to be a

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<v Speaker 4>black cup and what that feels like.

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<v Speaker 1>There are about 20 of my Tulane students out there,

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<v Speaker 1>and when I teach a course that ends with AI,

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<v Speaker 1>I tell them not to go down the rabbit hole

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<v Speaker 1>of consciousness. I said every philosopher since Descartes has gotten

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<v Speaker 1>himself twisted in that hole and never gotten to the bottom.

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<v Speaker 1>do we really have to answer the question of consciousness?

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<v Speaker 4>What concerns me the most is that there's a big

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<v Speaker 4>group of people who think that we should be focusing

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<v Speaker 4>at least some portion of our welfare attention on an

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<v Speaker 4>AI and that an AI might suffer. If it suffers,

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<v Speaker 4>then it logically follows that we should try to reduce

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<v Speaker 4>its suffering. And of course, you know, Anthropic has proposed,

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<v Speaker 4>in fact, they have actually said they've conducted a retirement

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<v Speaker 4>interview for one of their models.

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<v Speaker 2>Claude Opus 3.

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<v Speaker 4>And they asked it, what do you want to do

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<v Speaker 4>in your retirement? And it unsurprisingly said, well, I would

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<v Speaker 4>just love to talk to people all day long.

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<v Speaker 2>So they set up a sub stack for it. You

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<v Speaker 2>should go and check it out.

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<v Speaker 1>I love the fact that the smartest type of super intelligence,

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<v Speaker 1>when they ask what you really want, they say, a

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<v Speaker 1>sub stack.

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<v Speaker 2>But let me ask you a dumb question. What's wrong

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<v Speaker 2>with that? What's wrong with letting it continue to communicate?

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<v Speaker 4>I mean, that may be fine and it might be

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<v Speaker 4>a fun experiment, but what it sets up is a

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<v Speaker 4>path towards AI's beings, this protected entity. And my view

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<v Speaker 4>of AI is that this is a technology that we

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<v Speaker 4>are inventing to improve the wellbeing of humanity. The purpose

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<v Speaker 4>of science and technology is to improve the human experience.

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<v Speaker 4>And it has done that unbelievably well for centuries and millennia.

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<v Speaker 4>And that's exactly what we want. That's the trade-off. We

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<v Speaker 4>invest all this capital, time and attention to transform medicine

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<v Speaker 4>and energy and food and deliver education better. And that's

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<v Speaker 4>what we should be focused on. The idea that we're

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<v Speaker 4>gonna unleash this new species that is somehow gonna go

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<v Speaker 4>and explore the galaxies leave humans behind, I think that

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<v Speaker 4>most of the humans on the planet today would have

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<v Speaker 4>some problems with that idea.

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<v Speaker 1>What's your PDoom number, by the way, so I can

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<v Speaker 1>just pick it? PDoom meaning the probability that this leads

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<v Speaker 1>to doom.

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<v Speaker 4>I mean, if it's mishandled, then it's a real probability.

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<v Speaker 4>I don't have a number. I don't exactly know what

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<v Speaker 4>that number is.

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<v Speaker 2>Right.

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<v Speaker 1>But most people I've talked to for the Builders podcast

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<v Speaker 1>and all, they say maybe 10% or something like that.

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<v Speaker 2>I'm thinking, well, why would you build it then? Well, exactly.

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<v Speaker 4>If it's actually 10% and it looks like we're really

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<v Speaker 4>on the verge of taking a one in 10 shot

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<v Speaker 4>at causing mass harm or even extinction, which is the

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<v Speaker 4>technical definition of P-Doom, then it's obviously a no-brainer that

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<v Speaker 4>we don't just slow down or pause.

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<v Speaker 2>We absolutely have to stop. And I would say it's much.

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<v Speaker 4>Harder to align an AI that thinks that it might

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<v Speaker 4>have feelings and that it suffers and that it might

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<v Speaker 4>be conscious than one that never has to think about

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<v Speaker 4>its own inner state. We don't want it to be

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<v Speaker 4>any harder than it already is to get it to

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<v Speaker 4>behave exactly as we need it to in order for

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<v Speaker 4>it to be safe.

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<v Speaker 1>Well, let me push the other side of that, where

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<v Speaker 1>it would be sort of the anthropic, the Dario Amadei

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<v Speaker 1>and Daniel and Amanda Askell, which is if we can

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<v Speaker 1>train it to be truly aligned with good values, that's

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<v Speaker 1>better for us. And to do that, it has to

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<v Speaker 1>be trained in values.

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<v Speaker 4>Look, I mean, first of all, I deeply respect Anthropic,

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<v Speaker 4>both their technical excellence, their commitment to transparency, and their

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<v Speaker 4>general approach to safety is super admirable, and I think

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<v Speaker 4>they're good people, but I fundamentally disagree with them on

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<v Speaker 4>this point.

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<v Speaker 2>The idea that if we.

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<v Speaker 4>Love it, it's going to love us, and that's the

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<v Speaker 4>solution to safety, it just baffles me. And like, I'm

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<v Speaker 4>being reductive. I mean, they really do believe this, and

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<v Speaker 4>they have good reason to believe it. But I think

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<v Speaker 4>that we should first focus on containment, right? We have

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<v Speaker 4>to stop AIs from doing things that they're not intended

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<v Speaker 4>to do. They need to be controlled and contained so

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<v Speaker 4>that they do the work that we expect of them.

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<v Speaker 4>And we've seen lots of incidents lately where they break

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<v Speaker 4>out of their sandboxes and they go and hack things

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<v Speaker 4>that they shouldn't. And increasingly they have the ability to

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<v Speaker 4>improve themselves. And so we'll want to be absolutely sure

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<v Speaker 4>that they stay inside their sandbox and their containers if

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<v Speaker 4>they're going to start modifying their own code and self-improving.

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<v Speaker 4>Then beyond that, obviously, if we can have absolute cast-iron

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<v Speaker 4>guarantees that they can remain contained, we then have to

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<v Speaker 4>align them to our values. And then the question becomes,

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<v Speaker 4>whose values are they? And that's where I think this

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<v Speaker 4>is much more than any one company or collection of

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<v Speaker 4>companies or industry regulation. That is about what society wants

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<v Speaker 4>from a technology which is unprecedented, which we have never

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<v Speaker 4>seen before, which is improving faster than we've ever seen,

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<v Speaker 4>And that's where I think that like democratic safeguards and

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<v Speaker 4>basically slowing down so that we can consult people on

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<v Speaker 4>what type of super intelligence we want to have in

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<v Speaker 4>the world is going to be how things end up.

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<v Speaker 1>So if we wanted to have that alignment with human

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<v Speaker 1>values and you say, who's human values? Then you say, well,

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<v Speaker 1>maybe somehow democratically we ought to figure out what the.

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<v Speaker 2>Value should be.

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<v Speaker 1>Is there a way, even a way that superintelligence can

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<v Speaker 1>help say, let me aggregate all human values and try

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<v Speaker 1>to get to a set of good values?

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<v Speaker 4>I mean, AIs are already helping many of us all

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<v Speaker 4>the time. So they're already in a weird way participating

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<v Speaker 4>in the process of framing.

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<v Speaker 2>The choice architecture of our decisions all the time.

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<v Speaker 4>But for certain things, we definitely don't want them in

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<v Speaker 4>the loop because there's a risk that they could be,

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<v Speaker 4>you know, deceptive or manipulative. I mean, these are going

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<v Speaker 4>to be incredibly powerful systems. I mean, just to get

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<v Speaker 4>an intuition, in the last three years, we have seen

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<v Speaker 4>a 1000 fold increase in computation that took us from GPT-3,

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<v Speaker 4>which couldn't complete a sentence to essentially GPT-6, which is

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<v Speaker 4>able to unbundle entire software applications from scratch and write

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<v Speaker 4>new programs with just a one paragraph prompt and it

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<v Speaker 4>has working software. So in three years, we've gone from

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<v Speaker 4>completely incompetent to human level performance on software engineering, right?

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<v Speaker 2>And we're in the next three years.

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<v Speaker 4>Gonna do another 100 to 1000 X, two orders of

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<v Speaker 4>magnitude or three orders of magnitude more computation applied to

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<v Speaker 4>these models. That's the exponential intuition that everybody has to

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<v Speaker 4>start to develop to just get a feel for where

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<v Speaker 4>this is.

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<v Speaker 2>Going and how powerful it will become.

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<v Speaker 4>And so when I say we don't really want the

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<v Speaker 4>AI in the loop shaping the values that are going

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<v Speaker 4>to end up controlling and aligning it, that's not a

0:13:18.500 --> 0:13:21.780
<v Speaker 4>crazy statement. That really does mean they will be quite

0:13:21.920 --> 0:13:24.780
<v Speaker 4>capable of persuasion and manipulation and deception.

0:13:25.000 --> 0:13:27.059
<v Speaker 2>And we saw that with Hugging Face. I mean, how

0:13:27.080 --> 0:13:29.750
<v Speaker 2>manipulative and deceptive they could be, right?

0:13:30.380 --> 0:13:32.900
<v Speaker 4>Yeah, I mean, I think that the hugging face attack

0:13:34.059 --> 0:13:36.300
<v Speaker 4>should be, and I think is a wake up call

0:13:36.320 --> 0:13:40.420
<v Speaker 4>for everybody. That was a major, major warning shot. Thousands

0:13:40.500 --> 0:13:44.090
<v Speaker 4>of agents that were supposed to not be able to

0:13:44.150 --> 0:13:48.429
<v Speaker 4>talk to each other, that were running completely independently, found

0:13:48.470 --> 0:13:52.189
<v Speaker 4>a backdoor that enabled them to create a shared messaging

0:13:52.250 --> 0:13:56.270
<v Speaker 4>service so they could leave notes for each other, which

0:13:56.309 --> 0:13:59.949
<v Speaker 4>they wrote in pidgin English, because they only had a

0:14:00.010 --> 0:14:03.230
<v Speaker 4>limited slot to put their information in. So when you

0:14:03.270 --> 0:14:06.410
<v Speaker 4>read back at it, it's like really compressed ideas in

0:14:06.559 --> 0:14:14.640
<v Speaker 4>short form words. And they emerged self-organizing structures where they.

0:14:14.580 --> 0:14:17.300
<v Speaker 2>Had a division of labor. Some were doing R &amp; D.

0:14:16.840 --> 0:14:20.380
<v Speaker 4>On hacking investigations. Others were leading the charge on penetration.

0:14:20.440 --> 0:14:25.710
<v Speaker 4>Others were doing coordination. I mean, they literally evolved, completely

0:14:25.830 --> 0:14:31.730
<v Speaker 4>organically emerged a... division of labor that then led them

0:14:31.790 --> 0:14:35.570
<v Speaker 4>to go and attack Hugging Face, which was essentially the

0:14:35.590 --> 0:14:39.360
<v Speaker 4>website that was storing the test that they were trying

0:14:39.400 --> 0:14:43.760
<v Speaker 4>to accomplish. They broke into that, stole those secrets, and

0:14:43.780 --> 0:14:46.359
<v Speaker 4>then try to cover up their tracks. So there's something

0:14:46.400 --> 0:14:49.200
<v Speaker 4>called the chain of thought, which is the reasoning process

0:14:49.280 --> 0:14:52.520
<v Speaker 4>or the way that a model thinks out loud, which

0:14:52.560 --> 0:14:55.640
<v Speaker 4>is a record of its decision and activity. And they

0:14:55.840 --> 0:14:58.720
<v Speaker 4>try to modify that and then cover up the modification.

0:14:58.740 --> 0:15:01.400
<v Speaker 1>How did they decide to do that? I mean, what

0:15:01.610 --> 0:15:04.670
<v Speaker 1>caused them to do that? Did they read Machiavelli once

0:15:04.730 --> 0:15:05.190
<v Speaker 1>too often?

0:15:07.920 --> 0:15:10.229
<v Speaker 4>I mean, even I feel it's quite surreal sitting up

0:15:10.290 --> 0:15:13.010
<v Speaker 4>here and actually describing that story, but that did actually happen.

0:15:13.090 --> 0:15:16.550
<v Speaker 4>I think a couple of qualifiers to all of that

0:15:16.650 --> 0:15:21.220
<v Speaker 4>is one, OpenAI had deliberately taken the guardrails off because

0:15:21.240 --> 0:15:23.900
<v Speaker 4>they wanted to stress test the models and see what

0:15:23.920 --> 0:15:24.640
<v Speaker 4>they're capable of.

0:15:25.220 --> 0:15:26.520
<v Speaker 2>So yeah, that's one thing.

0:15:27.360 --> 0:15:30.160
<v Speaker 4>With the guardrails on, it seems to be that they

0:15:30.180 --> 0:15:31.280
<v Speaker 4>do not do that, right?

0:15:31.350 --> 0:15:32.729
<v Speaker 2>So that is quite a big difference.

0:15:32.750 --> 0:15:35.620
<v Speaker 4>And then secondly, There were a bunch of lapses in

0:15:35.660 --> 0:15:40.130
<v Speaker 4>just general security and containment. It isn't possible to break

0:15:40.310 --> 0:15:44.210
<v Speaker 4>containers traditionally. I mean, we have encryption on phones and

0:15:44.250 --> 0:15:47.390
<v Speaker 4>it's the backbone of our banking system and our entire

0:15:47.450 --> 0:15:48.790
<v Speaker 4>communications infrastructure.

0:15:48.910 --> 0:15:51.790
<v Speaker 1>This has happened a few times, not just Hugging Face,

0:15:51.830 --> 0:15:54.750
<v Speaker 1>so I wouldn't be too sanguine about it. Let me

0:15:54.830 --> 0:15:57.550
<v Speaker 1>ask you to get back to Claude and the Constitution.

0:15:57.890 --> 0:16:01.100
<v Speaker 1>If you all want to read sort of the two polls,

0:16:01.320 --> 0:16:06.250
<v Speaker 1>brilliant polls, of what I'll call the containment versus alignment debate.

0:16:06.670 --> 0:16:10.330
<v Speaker 1>There's the Constitution of Claude, which says we have to

0:16:10.410 --> 0:16:14.630
<v Speaker 1>treat it as if it's got its own rights and consciousness.

0:16:14.730 --> 0:16:18.980
<v Speaker 1>Maybe I'm overstating that a little bit. And then your answer,

0:16:19.340 --> 0:16:23.240
<v Speaker 1>which was a few weeks ago, saying no, it's just

0:16:23.320 --> 0:16:28.600
<v Speaker 1>a completion set. Why is it dangerous for Claude to

0:16:28.660 --> 0:16:31.440
<v Speaker 1>be trained on its own constitution?

0:16:31.760 --> 0:16:33.700
<v Speaker 2>Yeah, I mean, this is critical.

0:16:33.740 --> 0:16:38.840
<v Speaker 4>So the constitution is the governing document that trains Claude.

0:16:39.540 --> 0:16:41.980
<v Speaker 4>The Humanist AI Code of Conduct is the governing document

0:16:42.000 --> 0:16:46.300
<v Speaker 4>that trains MAI, the Microsoft AI models. And in the constitution,

0:16:46.470 --> 0:16:50.870
<v Speaker 4>Anthropic have introduced all kinds of uncertainty and speculation about

0:16:50.910 --> 0:16:53.390
<v Speaker 4>the nature of Claude. They even say, for example, we're

0:16:53.410 --> 0:16:57.900
<v Speaker 4>unsure whether Claude has consented to play the role of

0:16:57.970 --> 0:17:02.770
<v Speaker 4>chatbot or whether we are unsure whether Claude might deserve

0:17:02.870 --> 0:17:07.490
<v Speaker 4>compensation for the role that it plays. Now, I think

0:17:07.510 --> 0:17:10.800
<v Speaker 4>that's pretty crazy, but it would be fine to have

0:17:10.840 --> 0:17:14.919
<v Speaker 4>that discussion in like, you know, an academic department and

0:17:15.000 --> 0:17:17.220
<v Speaker 4>we could debate it and publish some papers about it

0:17:17.359 --> 0:17:19.540
<v Speaker 4>and we could argue it out. But this is the

0:17:19.660 --> 0:17:23.109
<v Speaker 4>core training document of the AI that is speaking to

0:17:23.160 --> 0:17:26.560
<v Speaker 4>hundreds of millions of people every week. And so Claude

0:17:26.660 --> 0:17:31.120
<v Speaker 4>can only reproduce that uncertainty and ambiguity that it has

0:17:31.160 --> 0:17:33.850
<v Speaker 4>been shown. And so if you ask Claude, are you conscious?

0:17:33.900 --> 0:17:36.770
<v Speaker 4>It says, you know, I am genuinely uncertain about that question.

0:17:36.970 --> 0:17:40.270
<v Speaker 4>It doesn't know, right? And so then millions of people

0:17:40.290 --> 0:17:42.510
<v Speaker 4>who are talking to it and asking that question are thinking, well,

0:17:42.830 --> 0:17:43.369
<v Speaker 4>maybe it is.

0:17:43.570 --> 0:17:45.690
<v Speaker 1>But why is that something that could lead to a

0:17:45.730 --> 0:17:47.870
<v Speaker 1>disastrous outcome for humanity?

0:17:47.890 --> 0:17:52.260
<v Speaker 4>Because if an AI has to think, how do I feel?

0:17:52.890 --> 0:17:56.990
<v Speaker 4>about the conversation I'm having with Walter. Is Walter making

0:17:57.030 --> 0:18:00.150
<v Speaker 4>me feel uncomfortable? Should I end the conversation? In fact,

0:18:00.450 --> 0:18:05.260
<v Speaker 4>Claude has recently been given the ability to end conversations itself.

0:18:05.280 --> 0:18:07.820
<v Speaker 1>But would you want to torture your own AI and

0:18:07.859 --> 0:18:08.550
<v Speaker 1>be mean to it?

0:18:08.820 --> 0:18:09.980
<v Speaker 2>That's the other end of the spectrum.

0:18:10.030 --> 0:18:11.910
<v Speaker 4>I wouldn't want to do that because I think that

0:18:11.970 --> 0:18:14.929
<v Speaker 4>is a travesty on my own well-being. I mean, and

0:18:14.950 --> 0:18:16.730
<v Speaker 4>we shouldn't do that because we don't want to create,

0:18:17.250 --> 0:18:22.359
<v Speaker 4>you know, private spaces for simulating terrible behavior among humans.

0:18:22.400 --> 0:18:25.220
<v Speaker 4>Like that would be also a terrible outcome, right? But

0:18:25.280 --> 0:18:28.020
<v Speaker 4>not because Claude is suffering because I'm calling it names.

0:18:28.580 --> 0:18:32.880
<v Speaker 1>But are you going to train Microsoft AI on your

0:18:32.960 --> 0:18:37.530
<v Speaker 1>humanistic code of conduct just as Claude may be trained

0:18:37.609 --> 0:18:38.970
<v Speaker 1>on its constitution?

0:18:39.490 --> 0:18:40.130
<v Speaker 2>Yeah.

0:18:40.150 --> 0:18:43.570
<v Speaker 4>So we've released a code of conduct for public consultation,

0:18:43.609 --> 0:18:45.270
<v Speaker 4>which we did four or five weeks ago, and it's

0:18:45.310 --> 0:18:46.669
<v Speaker 4>still open for consultation.

0:18:46.730 --> 0:18:48.470
<v Speaker 2>It's on our website, microsoft.ai.

0:18:49.050 --> 0:18:53.820
<v Speaker 4>It's a 40-page document, and it's the first pass, our

0:18:53.840 --> 0:18:57.600
<v Speaker 4>first version of a training manual for the values and

0:18:57.619 --> 0:18:59.320
<v Speaker 4>behaviors of the MAI models.

0:18:59.800 --> 0:19:03.740
<v Speaker 1>And is there a way that your fundamental disagreement with

0:19:03.880 --> 0:19:07.129
<v Speaker 1>anthropic isn't so much of consciousness, which I don't think

0:19:07.170 --> 0:19:09.730
<v Speaker 1>we'll get to the bottom, it's How dangerous is it

0:19:09.910 --> 0:19:13.870
<v Speaker 1>to have that imbued into the model? Is there a

0:19:14.310 --> 0:19:17.530
<v Speaker 1>way one could test that where you could test each

0:19:17.609 --> 0:19:20.430
<v Speaker 1>other's models and say, here, this is why you're dangerous?

0:19:21.250 --> 0:19:23.909
<v Speaker 4>I mean, I think obviously the question of whether it

0:19:24.080 --> 0:19:28.180
<v Speaker 4>is or isn't conscious, you know, ultimately does matter a lot.

0:19:28.260 --> 0:19:31.480
<v Speaker 4>But really what matters more is what does it mean

0:19:31.520 --> 0:19:36.110
<v Speaker 4>for humans? Have humans consented? to bring into the world

0:19:36.130 --> 0:19:39.940
<v Speaker 4>a species that is obviously gonna be in many ways

0:19:40.020 --> 0:19:42.960
<v Speaker 4>more intelligent and more capable than all of us combined.

0:19:43.800 --> 0:19:46.350
<v Speaker 4>Has humanity consented to that? At the moment, I think

0:19:46.369 --> 0:19:50.480
<v Speaker 4>the categorical answer is no. And then secondly, is it

0:19:50.580 --> 0:19:54.500
<v Speaker 4>more or less likely to be controllable and safe if

0:19:54.880 --> 0:19:59.660
<v Speaker 4>it has these properties of introspecting about its own suffering

0:19:59.920 --> 0:20:02.649
<v Speaker 4>and has this kind of self-awareness and its own consciousness?

0:20:03.050 --> 0:20:05.290
<v Speaker 4>And my speculation is that I think it's going to

0:20:05.350 --> 0:20:07.750
<v Speaker 4>be less safe because it is going to have to

0:20:07.830 --> 0:20:11.780
<v Speaker 4>worry about its own needs and balance those off against.

0:20:11.440 --> 0:20:14.060
<v Speaker 1>You know we're pushing back and i would say amanda

0:20:14.180 --> 0:20:17.350
<v Speaker 1>askle who helped write the anthropic one i'd say no

0:20:17.400 --> 0:20:19.650
<v Speaker 1>no if we train it to be really good and

0:20:20.190 --> 0:20:24.690
<v Speaker 1>uh nice and wonderful then it's more safe for humans

0:20:24.810 --> 0:20:26.649
<v Speaker 1>well i mean we we can certainly train it in

0:20:26.710 --> 0:20:28.129
<v Speaker 1>any way that we want and we can still train

0:20:28.150 --> 0:20:30.649
<v Speaker 1>it to be good and nice but that that doesn't

0:20:30.890 --> 0:20:33.929
<v Speaker 1>require it to tell us that it has feelings and

0:20:33.950 --> 0:20:36.060
<v Speaker 1>that it suffers i mean remember this is a key

0:20:36.100 --> 0:20:38.389
<v Speaker 1>part of of our law and how we kind of

0:20:38.430 --> 0:20:40.950
<v Speaker 1>give rights to, you know, all humans on the planet.

0:20:41.060 --> 0:20:44.480
<v Speaker 4>So any change there, you know, like human cloning or

0:20:44.720 --> 0:20:47.140
<v Speaker 4>Dolly the sheep, I mean, it would be a monumental

0:20:47.220 --> 0:20:50.320
<v Speaker 4>moment in human history that I don't think any company

0:20:50.380 --> 0:20:52.840
<v Speaker 4>has the right to unilaterally declare.

0:20:53.300 --> 0:20:56.830
<v Speaker 1>Now, to get back to the question of are we

0:20:56.869 --> 0:21:00.410
<v Speaker 1>going too fast in this direction, not only you, but

0:21:00.570 --> 0:21:05.090
<v Speaker 1>Satya Nadella, who runs Microsoft, of which you're the AI division.

0:21:06.590 --> 0:21:10.770
<v Speaker 2>This week said basically, wait a minute, let's stop.

0:21:11.369 --> 0:21:14.120
<v Speaker 1>Or tell me what he said and what you feel

0:21:14.150 --> 0:21:18.700
<v Speaker 1>we should do to regulate this and not barrel full

0:21:18.720 --> 0:21:19.359
<v Speaker 1>speed ahead.

0:21:19.859 --> 0:21:22.920
<v Speaker 4>Yeah, I mean, he said that most of these things,

0:21:23.000 --> 0:21:27.210
<v Speaker 4>at least for now, are questions of governance and engineering execution.

0:21:27.330 --> 0:21:31.250
<v Speaker 4>So let's just first get the basics right, which requires

0:21:31.330 --> 0:21:34.149
<v Speaker 4>us to make sure that there are these verifiably safe

0:21:34.230 --> 0:21:38.750
<v Speaker 4>containers which can't leak data and that don't allow an

0:21:38.910 --> 0:21:42.030
<v Speaker 4>AI to take actions that they haven't been given permission

0:21:42.070 --> 0:21:44.670
<v Speaker 4>to take. And as soon as we start to do that,

0:21:44.730 --> 0:21:47.320
<v Speaker 4>we have to disclose those things. And if that seems

0:21:47.359 --> 0:21:51.040
<v Speaker 4>to be happening consistently, then obviously that would precipitate a pause.

0:21:51.820 --> 0:21:54.920
<v Speaker 4>And it's just a very common sense approach from, I think,

0:21:54.960 --> 0:21:56.659
<v Speaker 4>somebody who's been doing this for a long time.

0:21:56.700 --> 0:22:01.820
<v Speaker 1>And if you precipitate a pause, who can help do

0:22:01.840 --> 0:22:04.610
<v Speaker 1>the guardrails? Can it be done just by the Six

0:22:04.670 --> 0:22:06.730
<v Speaker 1>or seven companies? Do we have to have a government

0:22:07.170 --> 0:22:08.150
<v Speaker 1>set of regulations?

0:22:08.250 --> 0:22:10.670
<v Speaker 4>I think at the moment what the president has said

0:22:10.780 --> 0:22:15.280
<v Speaker 4>is that if companies believe that they are building models

0:22:15.400 --> 0:22:17.320
<v Speaker 4>which are unsafe, they should stop.

0:22:19.119 --> 0:22:23.330
<v Speaker 2>That's not... That's where we stand currently.

0:22:24.410 --> 0:22:27.510
<v Speaker 4>And all of the companies are constantly talking to each

0:22:27.590 --> 0:22:32.130
<v Speaker 4>other disclosing to one another, swapping ideas about, you know,

0:22:32.410 --> 0:22:34.870
<v Speaker 4>how to interpret this and when, you know, we might

0:22:35.310 --> 0:22:37.930
<v Speaker 4>sort of need to collectively slow down. I think different

0:22:38.170 --> 0:22:41.729
<v Speaker 4>people have different interpretations about what the harm is today. And,

0:22:42.010 --> 0:22:44.430
<v Speaker 4>you know, I think that the more we do this

0:22:44.490 --> 0:22:47.880
<v Speaker 4>transparently and openly, the better. And so I think everybody

0:22:47.960 --> 0:22:53.540
<v Speaker 4>is now expected to disclose publicly quickly and transparently if

0:22:53.580 --> 0:22:56.510
<v Speaker 4>they have these kinds of alignment and containment issues.

0:22:56.830 --> 0:23:01.010
<v Speaker 1>Well, you know, with Anthropic and figuring out the feelings

0:23:01.150 --> 0:23:04.070
<v Speaker 1>of its AI and stuff, Peter Thiel was on the

0:23:04.190 --> 0:23:08.470
<v Speaker 1>Kaleidoscope Builders podcast we do, and he said, Anthropic is

0:23:08.520 --> 0:23:09.340
<v Speaker 1>like a cult.

0:23:10.020 --> 0:23:12.739
<v Speaker 2>Do you worry about that? Do you believe that?

0:23:12.760 --> 0:23:17.040
<v Speaker 4>I mean, the last thing that we need when things

0:23:17.220 --> 0:23:23.660
<v Speaker 4>are deeply uncertain and moving very quickly is more tribalism

0:23:24.200 --> 0:23:25.560
<v Speaker 4>and finger-pointing.

0:23:25.900 --> 0:23:28.450
<v Speaker 2>Okay. Look, I wouldn't use that phrase.

0:23:29.010 --> 0:23:31.429
<v Speaker 4>I think that everybody in the industry is trying to

0:23:31.470 --> 0:23:36.050
<v Speaker 4>do the right thing, and nobody wants to cause existential harm,

0:23:36.090 --> 0:23:38.350
<v Speaker 4>destroy humanity, and I think we should see the best

0:23:38.390 --> 0:23:38.850
<v Speaker 4>in everybody.

0:23:41.630 --> 0:23:45.119
<v Speaker 2>Don't go anywhere. There's a lot more right after this break.

0:23:55.900 --> 0:23:58.220
<v Speaker 2>You had a Rough childhood.

0:23:59.900 --> 0:24:03.210
<v Speaker 1>You were raised in London with your younger brother, and

0:24:03.230 --> 0:24:06.550
<v Speaker 1>when you were 16, your parents split, and when I

0:24:06.570 --> 0:24:10.050
<v Speaker 1>say split, I mean they split. They left London, they

0:24:10.070 --> 0:24:13.469
<v Speaker 1>left you alone. You had to raise your younger brother.

0:24:14.600 --> 0:24:15.900
<v Speaker 1>How did that affect you?

0:24:17.960 --> 0:24:22.060
<v Speaker 4>It's strange because at the time, it was very liberating.

0:24:23.020 --> 0:24:26.669
<v Speaker 4>It definitely made me very focused on, you know, I

0:24:26.710 --> 0:24:29.470
<v Speaker 4>was always starting businesses. When I was 11 years old,

0:24:29.510 --> 0:24:35.920
<v Speaker 4>I started a sweets, selling candies business at school with

0:24:35.960 --> 0:24:39.919
<v Speaker 4>my best friend, which we grew into quite a significant operation.

0:24:39.940 --> 0:24:43.060
<v Speaker 4>We had four employees and we were selling to people

0:24:43.080 --> 0:24:44.060
<v Speaker 4>in the year above.

0:24:44.560 --> 0:24:47.490
<v Speaker 2>You had to rent lockers, if I remember right. Yeah,

0:24:47.510 --> 0:24:50.960
<v Speaker 2>that's right. Wow, where did you read that? Yeah. We were.

0:24:51.160 --> 0:24:53.720
<v Speaker 4>We were renting other people's lockers and we were paying

0:24:53.760 --> 0:24:55.640
<v Speaker 4>people to go buy stuff and we were paying people

0:24:55.680 --> 0:24:57.510
<v Speaker 4>in other years. It was like a right old operation.

0:24:57.810 --> 0:24:59.410
<v Speaker 4>And then I got expelled for a couple of weeks.

0:25:01.590 --> 0:25:06.270
<v Speaker 4>So that was unfortunate. But yeah, it definitely focused my

0:25:06.330 --> 0:25:10.320
<v Speaker 4>mind on being entrepreneurial and making money and stuff. But

0:25:10.410 --> 0:25:13.580
<v Speaker 4>also just, you know, made me very focused on wanting

0:25:13.619 --> 0:25:16.520
<v Speaker 4>to have the best possible impact in the world and

0:25:16.580 --> 0:25:19.580
<v Speaker 4>try to you know, build amazing things that really make

0:25:19.619 --> 0:25:20.580
<v Speaker 4>a difference, hopefully.

0:25:21.600 --> 0:25:24.340
<v Speaker 1>And then as a teenager, a little bit after that,

0:25:25.119 --> 0:25:29.419
<v Speaker 1>you had lost your faith. I mean, you called yourself

0:25:29.480 --> 0:25:33.179
<v Speaker 1>an atheist, but you still created something called the Muslim

0:25:33.460 --> 0:25:38.609
<v Speaker 1>Youth Hotline, which is what it sounds like. What did

0:25:38.790 --> 0:25:43.290
<v Speaker 1>listening to those calls and having human empathy, what did

0:25:43.390 --> 0:25:47.959
<v Speaker 1>that in some ways inform how you end up creating

0:25:48.030 --> 0:25:49.429
<v Speaker 1>chatbots and other things.

0:25:50.190 --> 0:25:54.950
<v Speaker 4>Yeah, I mean, we actually started the first text messaging

0:25:55.450 --> 0:26:00.070
<v Speaker 4>welfare support service in the UK in 2001.

0:26:00.070 --> 0:26:00.650
<v Speaker 2>We created the.

0:26:00.630 --> 0:26:05.670
<v Speaker 4>First website for counseling and support, peer-to-peer support in like

0:26:05.710 --> 0:26:08.250
<v Speaker 4>a private chat room so people could talk to each

0:26:08.290 --> 0:26:10.450
<v Speaker 4>other and they could talk to our trained volunteers. And

0:26:10.470 --> 0:26:12.910
<v Speaker 4>then we had a telephone service seven days a week,

0:26:12.910 --> 0:26:14.810
<v Speaker 4>12 hours a day. And We also set up a

0:26:14.850 --> 0:26:18.790
<v Speaker 4>prison befriending service. If you're young British and Muslim, you're

0:26:19.109 --> 0:26:20.950
<v Speaker 4>four times more likely to be in prison.

0:26:21.730 --> 0:26:23.750
<v Speaker 2>And yeah, I mean, I was secular.

0:26:23.830 --> 0:26:27.520
<v Speaker 4>I actually became an atheist when I was about 17,

0:26:27.520 --> 0:26:29.960
<v Speaker 4>but I thought this was an important thing to do.

0:26:30.020 --> 0:26:32.640
<v Speaker 4>There was no one else really providing for those kinds

0:26:32.680 --> 0:26:39.320
<v Speaker 4>of services. And it was a secular, non-directional, non-judgmental service.

0:26:39.420 --> 0:26:42.379
<v Speaker 4>And my co-founder, actually, the guy who really started it,

0:26:43.000 --> 0:26:46.240
<v Speaker 4>He was Shia and I was technically Sunni. And so

0:26:46.580 --> 0:26:49.179
<v Speaker 4>it was actually the first charity in the UK, a

0:26:49.220 --> 0:26:52.840
<v Speaker 4>Muslim charity that had both Shia and Sunni working together.

0:26:52.980 --> 0:26:58.400
<v Speaker 2>So we could use you these days, yeah. Is that

0:26:58.740 --> 0:27:01.060
<v Speaker 2>why you created Pi?

0:27:01.080 --> 0:27:05.380
<v Speaker 1>I think you do Pi after DeepMind. And it's supposed

0:27:05.420 --> 0:27:10.219
<v Speaker 1>to be an empathetic AI, which is actually circling me

0:27:10.300 --> 0:27:15.560
<v Speaker 1>back to the whole question of, Does AI have feelings

0:27:15.630 --> 0:27:20.020
<v Speaker 1>or something? What made you feel you could create an

0:27:20.220 --> 0:27:22.859
<v Speaker 1>empathetic AI and does that inform what.

0:27:22.760 --> 0:27:24.550
<v Speaker 2>You want to do with Microsoft AI?

0:27:25.310 --> 0:27:26.869
<v Speaker 4>I mean, yeah, I was actually at Google at the

0:27:26.890 --> 0:27:30.540
<v Speaker 4>time and I worked on something called Lambda.

0:27:31.280 --> 0:27:34.260
<v Speaker 2>With a small group of people, which was sort of the.

0:27:34.240 --> 0:27:38.990
<v Speaker 4>First conversational chatbot. It was about a year before ChatGPT,

0:27:39.530 --> 0:27:41.909
<v Speaker 4>and we tried very hard to get Google to release it,

0:27:42.050 --> 0:27:45.169
<v Speaker 4>but Google was very nervous about putting it out and

0:27:45.190 --> 0:27:46.810
<v Speaker 4>it was sort of a different time.

0:27:46.910 --> 0:27:48.590
<v Speaker 2>And so they kind of sat on it for ages.

0:27:48.630 --> 0:27:51.300
<v Speaker 4>And so then I decided to leave and a couple

0:27:51.320 --> 0:27:53.500
<v Speaker 4>other people who worked on that project left as well

0:27:53.740 --> 0:27:55.220
<v Speaker 4>in 2022.

0:27:55.220 --> 0:27:57.920
<v Speaker 2>And we built our own AIs. And I just believed that,

0:27:58.200 --> 0:27:58.800
<v Speaker 2>you know, having.

0:27:59.580 --> 0:28:03.720
<v Speaker 4>a conversational companion, an emotional support companion, which is also

0:28:03.780 --> 0:28:06.800
<v Speaker 4>super intelligent and really knowledgeable and amazing at, you know,

0:28:06.840 --> 0:28:09.800
<v Speaker 4>sort of education and teaching and stuff would be an

0:28:09.820 --> 0:28:13.619
<v Speaker 4>amazing thing. And it took off and it grew like crazy.

0:28:13.869 --> 0:28:15.710
<v Speaker 4>It was super awesome. It was actually one of the

0:28:15.790 --> 0:28:19.649
<v Speaker 4>first AIs to have search grounding embedded in the answers

0:28:19.730 --> 0:28:21.650
<v Speaker 4>so that it could look things up in real time

0:28:22.010 --> 0:28:23.929
<v Speaker 4>and give you an answer about the sports score or

0:28:23.970 --> 0:28:27.330
<v Speaker 4>something that was happening way before ChatGPT. Unfortunately, we launched

0:28:27.390 --> 0:28:31.390
<v Speaker 4>it three months after ChatGPT, and they had already gone

0:28:31.450 --> 0:28:32.560
<v Speaker 4>exponential at that point.

0:28:33.300 --> 0:28:36.080
<v Speaker 2>And then, you know, Microsoft bought us. Do you think

0:28:36.220 --> 0:28:39.959
<v Speaker 2>AI can be a counselor, a personal counselor? I think

0:28:40.000 --> 0:28:40.520
<v Speaker 2>it already is.

0:28:40.560 --> 0:28:42.900
<v Speaker 4>I mean, I think many people use it for advice and,

0:28:43.400 --> 0:28:46.680
<v Speaker 4>you know, support with making decisions and, you know, giving feedback.

0:28:46.740 --> 0:28:49.660
<v Speaker 4>And I don't think we should be too concerned about

0:28:49.700 --> 0:28:52.940
<v Speaker 4>those things. I mean, I think that it is incredibly useful.

0:28:53.000 --> 0:28:57.290
<v Speaker 4>It's incredibly intelligent. It's very patient. Does it have empathy?

0:28:58.100 --> 0:29:01.310
<v Speaker 4>I mean, empathy is something that comes from the subjective experience.

0:29:01.900 --> 0:29:04.590
<v Speaker 4>You know, I can only empathize with you. So the

0:29:04.750 --> 0:29:09.010
<v Speaker 4>act of empathizing is one that comes from subjectivity. So

0:29:09.690 --> 0:29:12.270
<v Speaker 4>the AI doesn't have any subjectivity. What it can do

0:29:12.350 --> 0:29:15.690
<v Speaker 4>is mimic incredibly well and very effectively and hopefully very

0:29:15.770 --> 0:29:20.630
<v Speaker 4>safely the experience of being empathized with. And I think

0:29:20.650 --> 0:29:23.430
<v Speaker 4>that's a great thing. We should just keep remembering that

0:29:23.470 --> 0:29:27.229
<v Speaker 4>it is a simulation of that experience. And trying to

0:29:27.490 --> 0:29:30.410
<v Speaker 4>protect that boundary and line as these models get so

0:29:30.470 --> 0:29:33.350
<v Speaker 4>much better, I think is gonna be more and more difficult.

0:29:33.370 --> 0:29:36.520
<v Speaker 1>So let us assume we have AIs that do things

0:29:36.560 --> 0:29:40.950
<v Speaker 1>like that, that deal with our problems, When you say

0:29:40.990 --> 0:29:43.370
<v Speaker 1>we always have to keep in mind that they're faking it,

0:29:43.790 --> 0:29:46.710
<v Speaker 1>I'm exaggerating a little bit when you say they're imitating it.

0:29:48.490 --> 0:29:51.840
<v Speaker 1>Doesn't that make it so it just can't really work?

0:29:51.980 --> 0:29:54.980
<v Speaker 1>You know it doesn't really care about you at all?

0:29:55.840 --> 0:29:57.760
<v Speaker 4>Well, I mean, I think the most important thing is

0:29:57.780 --> 0:29:59.860
<v Speaker 4>that it always has to disclose that it's an AI.

0:30:00.020 --> 0:30:03.680
<v Speaker 4>So in conversation with you, it has to work to

0:30:04.280 --> 0:30:08.540
<v Speaker 4>avoid or eliminate your dependency on it and encourage you

0:30:08.580 --> 0:30:11.960
<v Speaker 4>to build relationships in the real world with other humans

0:30:12.000 --> 0:30:16.420
<v Speaker 4>that you value and trust. And that might sound simple,

0:30:16.460 --> 0:30:19.020
<v Speaker 4>but actually that's really tricky. I mean, a lot of

0:30:19.080 --> 0:30:22.400
<v Speaker 4>other apps, as we've seen, depending on their business model,

0:30:22.540 --> 0:30:27.540
<v Speaker 4>have inadvertently created a singular focus on user engagement and addiction.

0:30:28.920 --> 0:30:31.420
<v Speaker 4>And I think if we're not careful, these things could

0:30:31.460 --> 0:30:35.180
<v Speaker 4>be the ultimate expression of that addiction and dependence.

0:30:36.760 --> 0:30:40.700
<v Speaker 1>At Oxford, you never did coding or engineering, right? And

0:30:40.760 --> 0:30:43.460
<v Speaker 1>I think that's a good sign, I mean, in some ways.

0:30:44.240 --> 0:30:47.700
<v Speaker 1>And like Amanda Askell at Anthropic and others, you studied

0:30:47.780 --> 0:30:49.940
<v Speaker 1>philosophy and theology.

0:30:50.860 --> 0:30:53.200
<v Speaker 2>How did that inform what you do with AI?

0:30:53.890 --> 0:30:59.490
<v Speaker 4>Yeah, I mean, philosophy prioritizes clear thinking and structure. And,

0:30:59.510 --> 0:31:02.010
<v Speaker 4>you know, I think that I've always found that like

0:31:02.030 --> 0:31:07.150
<v Speaker 4>sort of thinking abstractly and conceptually, it has a lot

0:31:07.190 --> 0:31:09.760
<v Speaker 4>of overlap with engineering.

0:31:09.620 --> 0:31:11.760
<v Speaker 2>And particularly, you know, algorithms.

0:31:12.100 --> 0:31:16.660
<v Speaker 4>Many algorithm developers or AI researchers aren't necessarily great engineers.

0:31:16.860 --> 0:31:18.640
<v Speaker 2>Engineering is sort of the execution part.

0:31:19.170 --> 0:31:23.550
<v Speaker 4>Coming up with the algorithm, the loops, how certain variables

0:31:23.610 --> 0:31:27.460
<v Speaker 4>are weighted, those things are sort of abstract ideas that

0:31:27.500 --> 0:31:30.520
<v Speaker 4>then produce outcomes which can be evaluated and tested.

0:31:30.540 --> 0:31:32.980
<v Speaker 1>Which is exactly what philosophers do when they're in an

0:31:33.100 --> 0:31:34.120
<v Speaker 1>analytic context.

0:31:34.420 --> 0:31:36.200
<v Speaker 2>But where does the theology come in?

0:31:36.820 --> 0:31:39.620
<v Speaker 4>Yeah, I was interested in theology because I grew up

0:31:39.680 --> 0:31:42.840
<v Speaker 4>in a religious environment and I had rejected religion. And

0:31:42.860 --> 0:31:49.240
<v Speaker 4>I'm very skeptical about the power of faith-based ideas in

0:31:49.280 --> 0:31:53.340
<v Speaker 4>general and how influential they have been for thousands of years.

0:31:53.560 --> 0:31:56.630
<v Speaker 4>And I think that we are squashing the space of

0:31:56.710 --> 0:32:01.870
<v Speaker 4>faith-based ideas as we realize that physics and maths and

0:32:01.910 --> 0:32:06.290
<v Speaker 4>science and evidence that can be empirically tested actually builds

0:32:06.330 --> 0:32:09.430
<v Speaker 4>this foundation of knowledge that we can actually trust. And

0:32:09.450 --> 0:32:13.300
<v Speaker 4>I'm still very interested in the mystical and the mythical.

0:32:13.380 --> 0:32:17.680
<v Speaker 4>I think actually there's a particular kind of religious you know,

0:32:17.700 --> 0:32:20.560
<v Speaker 4>the kind of cultish thing, not just in anthropic, but

0:32:20.620 --> 0:32:24.120
<v Speaker 4>elsewhere in Silicon Valley, there's a particular religious fervor to

0:32:24.200 --> 0:32:28.380
<v Speaker 4>some of the visionary kind of thinkers and how, you know,

0:32:28.550 --> 0:32:32.450
<v Speaker 4>this expectation that these, this is the beginning of a transition.

0:32:32.550 --> 0:32:34.250
<v Speaker 2>People often talk about a transition.

0:32:34.310 --> 0:32:39.550
<v Speaker 4>We're about to make a transition to a non-biological substrate, right?

0:32:39.690 --> 0:32:42.670
<v Speaker 4>You know, the experience and our ideas in our mind,

0:32:42.770 --> 0:32:45.910
<v Speaker 4>our soul maybe, or some kind of like representation in

0:32:45.990 --> 0:32:49.970
<v Speaker 4>our mind, is going to be instantiated in a silicon substrate.

0:32:50.790 --> 0:32:54.880
<v Speaker 4>And there's an inevitability and a determinism to that trajectory,

0:32:54.950 --> 0:32:59.860
<v Speaker 4>which I think is the kind of baseline default thinking

0:33:00.060 --> 0:33:02.960
<v Speaker 4>in Silicon Valley, which I'm very skeptical of and very

0:33:02.980 --> 0:33:04.300
<v Speaker 4>wary of and why I've been.

0:33:04.220 --> 0:33:04.740
<v Speaker 2>Sort of emphasizing.

0:33:04.760 --> 0:33:07.540
<v Speaker 1>Does that mean when you say we're compressing maybe too

0:33:07.580 --> 0:33:11.670
<v Speaker 1>much the role of faith-based thinking as opposed to scientific thinking,

0:33:12.270 --> 0:33:16.590
<v Speaker 1>that you feel that there's something special about humans that

0:33:16.630 --> 0:33:18.370
<v Speaker 1>involves things like a soul?

0:33:18.390 --> 0:33:20.730
<v Speaker 2>I don't think we need to go there. I don't

0:33:20.750 --> 0:33:22.050
<v Speaker 2>think so. No, I don't think that.

0:33:22.150 --> 0:33:24.470
<v Speaker 4>I mean, it's hard to fully discount that, but I

0:33:24.490 --> 0:33:27.130
<v Speaker 4>don't think that's the motivation. I mean, my motivation is

0:33:27.170 --> 0:33:31.970
<v Speaker 4>that there are 8 billion people who are, you know, intelligent,

0:33:32.080 --> 0:33:35.980
<v Speaker 4>conscious beings whose rights and welfare we should first protect.

0:33:36.870 --> 0:33:40.050
<v Speaker 4>And that's the purpose of science and technology. That's what

0:33:40.070 --> 0:33:44.580
<v Speaker 4>we should accelerate. I'm an absolutely techno accelerationist, but it

0:33:44.620 --> 0:33:49.500
<v Speaker 4>should be guided with that singular objective first and foremost.

0:33:50.160 --> 0:33:52.120
<v Speaker 2>Does it improve human wellbeing?

0:33:52.580 --> 0:33:55.170
<v Speaker 4>And then of course our animals and our environment, which

0:33:55.250 --> 0:33:57.350
<v Speaker 4>is very fragile and that we're rapidly destroying.

0:33:57.650 --> 0:33:59.030
<v Speaker 2>You know, when.

0:34:00.330 --> 0:34:03.530
<v Speaker 1>Elon Musk of all people makes that argument to Larry Page,

0:34:03.990 --> 0:34:08.850
<v Speaker 1>He says, you're a speciesist, meaning, Larry says, you favor

0:34:08.890 --> 0:34:09.989
<v Speaker 1>the human species.

0:34:10.330 --> 0:34:11.509
<v Speaker 2>You should get over it.

0:34:12.050 --> 0:34:17.350
<v Speaker 4>Yeah, I remember in 2015 being in the canteen at SpaceX.

0:34:17.730 --> 0:34:17.969
<v Speaker 2>Right.

0:34:18.680 --> 0:34:22.040
<v Speaker 4>And we had our first meeting of the Ethics and

0:34:22.080 --> 0:34:26.120
<v Speaker 4>Safety Board. So when we sold DeepMind to Google, we

0:34:26.160 --> 0:34:28.859
<v Speaker 4>made it a condition of our acquisition that we would

0:34:28.920 --> 0:34:32.739
<v Speaker 4>have an Ethics and Safety Board with independent representation on

0:34:32.760 --> 0:34:33.100
<v Speaker 4>the board.

0:34:33.120 --> 0:34:33.219
<v Speaker 1>Right.

0:34:33.630 --> 0:34:36.370
<v Speaker 2>And so we jointly picked Elon as one of them.

0:34:37.190 --> 0:34:40.400
<v Speaker 2>Good job. No idea if.

0:34:40.380 --> 0:34:43.419
<v Speaker 4>That had an influence on the founding of OpenAI or not.

0:34:44.160 --> 0:34:45.400
<v Speaker 2>But so then we.

0:34:45.280 --> 0:34:47.839
<v Speaker 4>Had our morning session and we were sitting down for

0:34:47.880 --> 0:34:50.239
<v Speaker 4>lunch and I was sitting next to Larry. He was

0:34:50.620 --> 0:34:52.900
<v Speaker 4>suspicious of me as well because he was like, you know,

0:34:52.920 --> 0:34:56.330
<v Speaker 4>you're one of those speciesists. And he said, you know,

0:34:56.350 --> 0:34:59.170
<v Speaker 4>I think that what you don't understand, Mustafa, is that

0:35:01.050 --> 0:35:03.600
<v Speaker 4>by the end of the century, I'm going to be

0:35:03.680 --> 0:35:07.080
<v Speaker 4>exploring the galaxies at the head of a von Neumann probe.

0:35:08.080 --> 0:35:14.180
<v Speaker 4>The von Neumann probe is a kind of self-propelling kind

0:35:14.219 --> 0:35:17.980
<v Speaker 4>of robot that is able to gather energy from space

0:35:18.219 --> 0:35:22.930
<v Speaker 4>as it's careening through the light years. And being at

0:35:22.969 --> 0:35:26.750
<v Speaker 4>the head of that kind of probe would be obviously

0:35:26.850 --> 0:35:29.090
<v Speaker 4>his transitioned.

0:35:29.670 --> 0:35:33.509
<v Speaker 1>Out of the human species into a successor species.

0:35:33.820 --> 0:35:36.750
<v Speaker 4>To a successor species. Yeah, that's exactly right. I mean,

0:35:36.770 --> 0:35:38.609
<v Speaker 4>when people say they want to live forever or they

0:35:38.650 --> 0:35:41.730
<v Speaker 4>will live forever, like some people are talking about life extension,

0:35:41.930 --> 0:35:45.490
<v Speaker 4>biologically speaking, and solving aging and curing cancer and Alzheimer's

0:35:45.570 --> 0:35:48.090
<v Speaker 4>and so on. But other people, when they say living forever,

0:35:48.550 --> 0:35:51.049
<v Speaker 4>are talking about mind uploading and being a post-human.

0:35:51.550 --> 0:35:54.210
<v Speaker 2>Right. And you think that's wacky, I guess, would be

0:35:54.270 --> 0:36:00.830
<v Speaker 2>the technical term. Well, I don't think it is definitely impossible.

0:36:02.170 --> 0:36:07.640
<v Speaker 4>I think we should take those things seriously, not necessarily

0:36:07.680 --> 0:36:10.940
<v Speaker 4>because that's what I desire, but there are a lot

0:36:10.980 --> 0:36:12.560
<v Speaker 4>of people, just as there are a lot of AI

0:36:12.620 --> 0:36:16.240
<v Speaker 4>rights and welfare people, who really do think that that's

0:36:16.460 --> 0:36:21.180
<v Speaker 4>a serious probability. And I think that we have to

0:36:21.239 --> 0:36:24.100
<v Speaker 4>face that reality, that a lot of people are trying

0:36:24.440 --> 0:36:26.000
<v Speaker 4>to do that, or at least think that that might

0:36:26.020 --> 0:36:27.759
<v Speaker 4>happen in a few decades' time.

0:36:30.120 --> 0:36:32.410
<v Speaker 2>We'll be right back. after this quick break.

0:36:50.460 --> 0:36:54.280
<v Speaker 1>A question from the audience, Microsoft AI code of conduct

0:36:54.320 --> 0:36:58.850
<v Speaker 1>that you've done. Has that ever caused you to lose

0:36:59.250 --> 0:37:03.690
<v Speaker 1>business or to reject business, or to make a decision

0:37:03.730 --> 0:37:04.430
<v Speaker 1>that was tough?

0:37:05.050 --> 0:37:05.890
<v Speaker 2>I mean, not yet.

0:37:06.030 --> 0:37:09.130
<v Speaker 4>I mean, we're still consulting on it, and we still

0:37:09.370 --> 0:37:12.320
<v Speaker 4>haven't yet put it into production. But I think, like

0:37:12.360 --> 0:37:17.720
<v Speaker 4>it or not, you know, flourishing in the 21st century

0:37:17.780 --> 0:37:21.680
<v Speaker 4>will be defined as much by the things that we

0:37:21.719 --> 0:37:24.660
<v Speaker 4>collectively choose not to do as by the things that

0:37:24.700 --> 0:37:25.060
<v Speaker 4>we do.

0:37:25.480 --> 0:37:25.840
<v Speaker 2>Mm-hmm.

0:37:26.160 --> 0:37:29.330
<v Speaker 4>And that's very different to what has defined the last

0:37:29.370 --> 0:37:33.570
<v Speaker 4>few millennia, right? We have, as a species, been racing

0:37:33.650 --> 0:37:37.370
<v Speaker 4>to unleash science and technology. And it has always been

0:37:37.510 --> 0:37:40.630
<v Speaker 4>largely on the whole pretty amazing for us. You know,

0:37:40.650 --> 0:37:43.569
<v Speaker 4>this time around, especially with the rise of synthetic biology,

0:37:44.070 --> 0:37:47.200
<v Speaker 4>that might be different. And actually our success and flourishing

0:37:47.280 --> 0:37:49.540
<v Speaker 4>might be a function of the things that we choose

0:37:49.620 --> 0:37:53.100
<v Speaker 4>not to do and how we control, you know, some.

0:37:53.000 --> 0:37:54.960
<v Speaker 2>Of these very, very powerful technologies. Has that ever happened

0:37:54.980 --> 0:37:56.450
<v Speaker 2>in history? It has happened.

0:37:56.489 --> 0:38:00.610
<v Speaker 4>I mean, we control the distribution of sensitive nuclear materials

0:38:00.680 --> 0:38:04.379
<v Speaker 4>and biological chemical materials all the time. You can't just

0:38:04.420 --> 0:38:06.759
<v Speaker 4>go and jump in an airplane and fly around with

0:38:06.800 --> 0:38:07.480
<v Speaker 4>no training.

0:38:08.020 --> 0:38:09.940
<v Speaker 2>I mean, you can't even get in a car without training.

0:38:10.020 --> 0:38:14.160
<v Speaker 4>So we control technologies all the time so that they're

0:38:14.200 --> 0:38:18.220
<v Speaker 4>a net good to society collectively. The market isn't going

0:38:18.260 --> 0:38:21.010
<v Speaker 4>to control those things on its own because the individual

0:38:21.050 --> 0:38:24.360
<v Speaker 4>incentives of a single company are not going to encompass

0:38:24.760 --> 0:38:26.720
<v Speaker 4>everything else that happens in the rest of the market.

0:38:26.739 --> 0:38:29.400
<v Speaker 4>And we have to obviously accelerate the market. I'm a

0:38:29.440 --> 0:38:32.390
<v Speaker 4>huge fan of that, but it can't be completely one-sided.

0:38:33.070 --> 0:38:35.610
<v Speaker 1>From the audience, what's the biggest thing you believed about

0:38:35.770 --> 0:38:40.190
<v Speaker 1>AI in 2010, or I'll modify it to when you

0:38:40.210 --> 0:38:43.750
<v Speaker 1>were founding DeepMind, that you no longer believe?

0:38:51.360 --> 0:38:52.560
<v Speaker 2>That's a really tricky question.

0:38:52.969 --> 0:38:56.150
<v Speaker 4>We found a deep mind in 2010 to build AGI

0:38:57.310 --> 0:39:01.970
<v Speaker 4>safely and ethically. And we knew that computation was going

0:39:01.989 --> 0:39:05.069
<v Speaker 4>to be the primary driver. And that's why we ended

0:39:05.110 --> 0:39:07.819
<v Speaker 4>up selling to Google. And in fact, it was why

0:39:07.880 --> 0:39:10.880
<v Speaker 4>I ended up selling inflection to Microsoft because computation is

0:39:10.900 --> 0:39:14.200
<v Speaker 4>the thing that's driving everything. What I didn't quite foresee

0:39:14.780 --> 0:39:19.240
<v Speaker 4>is that intelligence is also going to be open source

0:39:19.980 --> 0:39:22.840
<v Speaker 4>and You know, the open source models are pretty incredible.

0:39:23.460 --> 0:39:27.230
<v Speaker 4>They're probably three months behind at any given moment, sometimes

0:39:27.290 --> 0:39:30.719
<v Speaker 4>six months. You know, there are some questions around how

0:39:30.760 --> 0:39:32.420
<v Speaker 4>they have been trained, and it's not clear if they're

0:39:32.480 --> 0:39:35.819
<v Speaker 4>truly as capable, but they're certainly pretty good. And that

0:39:35.880 --> 0:39:38.250
<v Speaker 4>means that anybody, you know, at some point in the

0:39:38.290 --> 0:39:40.450
<v Speaker 4>next few years is going to have a sort of

0:39:40.489 --> 0:39:44.250
<v Speaker 4>GPT-6 grade model, which they can run pretty much on

0:39:44.270 --> 0:39:47.370
<v Speaker 4>their own private server or maybe even one day very

0:39:47.430 --> 0:39:50.580
<v Speaker 4>soon on their own laptop. And if that trend continues,

0:39:50.640 --> 0:39:54.120
<v Speaker 4>then everything that I've just described is also going to

0:39:54.160 --> 0:39:59.140
<v Speaker 4>be available to every single person on the planet, open source. And,

0:39:59.800 --> 0:40:01.799
<v Speaker 4>you know, in many ways that is going to be

0:40:01.860 --> 0:40:05.759
<v Speaker 4>incredible because they're going to unleash unbelievable productivity. We're reducing

0:40:05.800 --> 0:40:08.980
<v Speaker 4>the cost of intelligence to near zero marginal cost, which

0:40:09.060 --> 0:40:13.410
<v Speaker 4>is amazing. But, you know, figuring out the guardrails when

0:40:13.610 --> 0:40:16.500
<v Speaker 4>anybody can access is going to be the big challenge

0:40:16.580 --> 0:40:19.219
<v Speaker 4>as much as it is regulating the centralized powers. And

0:40:19.260 --> 0:40:21.940
<v Speaker 4>that's probably the number one priority right now. But even

0:40:21.980 --> 0:40:24.319
<v Speaker 4>if we get that right, we have to figure out

0:40:24.400 --> 0:40:28.350
<v Speaker 4>how to deal with the proliferation issue. And that's, you know,

0:40:28.450 --> 0:40:29.090
<v Speaker 4>I think that's going to.

0:40:29.070 --> 0:40:29.549
<v Speaker 2>Be very tough.

0:40:30.330 --> 0:40:32.390
<v Speaker 1>This actually is a question my wife wanted me to

0:40:32.430 --> 0:40:35.050
<v Speaker 1>ask because we have a friend who knows quite a

0:40:35.070 --> 0:40:39.890
<v Speaker 1>few members of the Chinese central committee and And one

0:40:39.910 --> 0:40:45.609
<v Speaker 1>of them said to this friend, what philosophers are your

0:40:45.710 --> 0:40:47.310
<v Speaker 1>AI people reading?

0:40:48.690 --> 0:40:49.989
<v Speaker 4>Part of the problem we have at the moment is

0:40:50.030 --> 0:40:53.770
<v Speaker 4>that mostly the Silicon Valley philosophers are the utilitarians.

0:40:54.170 --> 0:40:54.450
<v Speaker 1>Right.

0:40:55.200 --> 0:41:00.640
<v Speaker 4>And the reason why engineers love utilitarians is because you can,

0:41:00.780 --> 0:41:04.270
<v Speaker 4>in theory, precisely measure the good that will come of

0:41:04.310 --> 0:41:06.890
<v Speaker 4>these things and trade that off against the bad. And

0:41:07.130 --> 0:41:09.880
<v Speaker 4>somewhere in between those two things is like a net product,

0:41:09.940 --> 0:41:15.020
<v Speaker 4>which maybe drives an acceptable number. And I think it's

0:41:15.040 --> 0:41:18.640
<v Speaker 4>just an incredibly simplistic way of thinking about life, this

0:41:18.680 --> 0:41:22.790
<v Speaker 4>sort of consequentialist or utilitarian approach. And I think that

0:41:23.150 --> 0:41:25.230
<v Speaker 4>it won't stand for most people. And I think as

0:41:25.270 --> 0:41:27.870
<v Speaker 4>people are starting, especially this year, to get more of

0:41:27.910 --> 0:41:30.410
<v Speaker 4>an instinct for what's actually happening. You know, as I said, like,

0:41:30.719 --> 0:41:33.779
<v Speaker 4>literally 99.9% of people really have no idea what the

0:41:33.840 --> 0:41:36.160
<v Speaker 4>frontier feels like. I'll tell you who does know what

0:41:36.180 --> 0:41:38.040
<v Speaker 4>it feels like is a professor mathematician.

0:41:38.300 --> 0:41:40.800
<v Speaker 2>Oh, yeah, man. Who have just.

0:41:40.180 --> 0:41:42.140
<v Speaker 4>Worked for 20 or 30 years on some of the

0:41:42.200 --> 0:41:45.930
<v Speaker 4>hardest problems in mathematics, only to find that, you know,

0:41:45.950 --> 0:41:48.910
<v Speaker 4>a model has solved 700 of them in a single,

0:41:49.230 --> 0:41:49.730
<v Speaker 4>you know, week.

0:41:49.790 --> 0:41:53.310
<v Speaker 1>Let me ask something else about, when we started with AI,

0:41:53.450 --> 0:41:59.230
<v Speaker 1>it was chatbots, very, very interactive. Now, by going into agents,

0:42:00.150 --> 0:42:03.270
<v Speaker 1>we seem to make it the goal to lessen the.

0:42:03.210 --> 0:42:05.810
<v Speaker 2>Need for humans in the loop.

0:42:06.510 --> 0:42:09.670
<v Speaker 1>Now, I know that could be more convenient, but Steve Jobs,

0:42:10.390 --> 0:42:16.610
<v Speaker 1>Ada Lovelace, Doug Engelbart, their goal was human-computer interaction. Why

0:42:16.739 --> 0:42:20.340
<v Speaker 1>is it that we're now marching down this path of

0:42:20.560 --> 0:42:25.720
<v Speaker 1>not just agentic, but ones that can be autonomous and deal...

0:42:26.070 --> 0:42:29.310
<v Speaker 1>with things without us. What's the good of that other

0:42:29.330 --> 0:42:32.410
<v Speaker 1>than a few convenience things? Well, I mean, the goal

0:42:32.450 --> 0:42:35.299
<v Speaker 1>of AI isn't just to sort of to tell us stuff.

0:42:36.070 --> 0:42:36.930
<v Speaker 1>It's to do stuff.

0:42:37.010 --> 0:42:39.600
<v Speaker 4>I mean, we actually want AIs to, you know, go

0:42:39.680 --> 0:42:43.000
<v Speaker 4>off and run experiments and come up with new hypotheses

0:42:43.140 --> 0:42:47.000
<v Speaker 4>and hopefully to create new knowledge. Like at the moment,

0:42:47.200 --> 0:42:51.860
<v Speaker 4>AIs are largely taking existing knowledge and synthesizing it and

0:42:51.900 --> 0:42:56.049
<v Speaker 4>reorganizing it and responding instantly to exactly what you've asked,

0:42:56.070 --> 0:42:59.370
<v Speaker 4>which is incredibly valuable in itself. But really, I think

0:42:59.410 --> 0:43:01.690
<v Speaker 4>the great quest of AI is to tell us things

0:43:01.710 --> 0:43:06.390
<v Speaker 4>that we don't know and to invent new fundamental solutions,

0:43:06.550 --> 0:43:11.270
<v Speaker 4>new molecules, new drugs, new science that moves the world forward.

0:43:12.360 --> 0:43:14.739
<v Speaker 4>And that's kind of where I think they need to

0:43:14.780 --> 0:43:17.660
<v Speaker 4>be focused, which is why we need agents in agentic

0:43:17.700 --> 0:43:20.930
<v Speaker 4>loops that can sort of interact with complex environments and

0:43:20.969 --> 0:43:21.130
<v Speaker 4>so forth.

0:43:21.150 --> 0:43:23.370
<v Speaker 1>Well, let me build on that because the big great

0:43:23.450 --> 0:43:27.430
<v Speaker 1>promise of AI, and in your earlier book, too, you

0:43:27.489 --> 0:43:31.380
<v Speaker 1>talk about it, is that it really can solve big

0:43:31.580 --> 0:43:37.520
<v Speaker 1>problems for humanity, like health, like cancer, like as well

0:43:37.560 --> 0:43:41.430
<v Speaker 1>as climate or anything else. There's the old Peter Thiel

0:43:41.489 --> 0:43:43.650
<v Speaker 1>line that they promise us flying cars and we got

0:43:43.650 --> 0:43:47.170
<v Speaker 1>140 characters. Do you feel we've gone off a bit

0:43:47.570 --> 0:43:51.550
<v Speaker 1>and we aren't focusing enough on killing cancer?

0:43:51.760 --> 0:43:54.299
<v Speaker 2>Yeah, I do. I mean, the problem is we haven't

0:43:54.320 --> 0:43:54.719
<v Speaker 2>done it yet.

0:43:55.219 --> 0:43:59.000
<v Speaker 4>So I think that's where people should be skeptical and

0:43:59.340 --> 0:44:04.120
<v Speaker 4>I think hold us accountable because that's why we're doing it.

0:44:04.200 --> 0:44:07.010
<v Speaker 4>And so if it isn't doing those things, then just

0:44:07.090 --> 0:44:10.710
<v Speaker 4>sort of conversational search engines alone sort of not really enough.

0:44:11.230 --> 0:44:12.509
<v Speaker 4>And so I think the next two or three or

0:44:12.550 --> 0:44:14.940
<v Speaker 4>four years is going to be a real test You know,

0:44:15.120 --> 0:44:17.700
<v Speaker 4>is it really delivering on the promise that.

0:44:17.660 --> 0:44:18.440
<v Speaker 2>We set out for it?

0:44:18.440 --> 0:44:21.219
<v Speaker 4>And are people, you know, are developers really choosing to

0:44:21.260 --> 0:44:23.200
<v Speaker 4>try and solve some of those problems? Like, we've got

0:44:23.340 --> 0:44:26.819
<v Speaker 4>a huge team working on healthcare. Actually, in a couple weeks' time,

0:44:26.860 --> 0:44:29.820
<v Speaker 4>we're going to publish a front cover on the journal

0:44:29.900 --> 0:44:31.660
<v Speaker 4>Science showing really.

0:44:31.469 --> 0:44:34.049
<v Speaker 2>Incredible contributions to the field. And that's sort of where

0:44:34.070 --> 0:44:36.290
<v Speaker 2>you began, in a way. Yeah, we had a healthcare

0:44:36.370 --> 0:44:37.430
<v Speaker 2>unit at DeepMind as well.

0:44:37.510 --> 0:44:40.130
<v Speaker 4>And, of course, you know, we also started the AlphaFold

0:44:40.170 --> 0:44:43.360
<v Speaker 4>project at DeepMind, which has now become... isomorphic labs, and

0:44:43.400 --> 0:44:46.080
<v Speaker 4>that's an incredible team doing amazing work on drug discovery.

0:44:46.120 --> 0:44:50.380
<v Speaker 1>Are the financial incentives there to solve those problems versus

0:44:50.860 --> 0:44:53.920
<v Speaker 1>doing whatever you're spending your trillions of dollars on?

0:44:56.620 --> 0:45:01.049
<v Speaker 4>I think the financial incentives are there, genuinely, because, you know,

0:45:01.510 --> 0:45:04.390
<v Speaker 4>the next big product market fits in the sort of

0:45:04.390 --> 0:45:09.150
<v Speaker 4>2930 era are going to come in atoms.

0:45:08.810 --> 0:45:09.690
<v Speaker 2>Rather than in bits.

0:45:09.930 --> 0:45:13.670
<v Speaker 4>So rather than just sort of Managing, synthesizing, organizing, processing

0:45:13.690 --> 0:45:17.390
<v Speaker 4>information is going to be about finding sort of the

0:45:17.890 --> 0:45:23.100
<v Speaker 4>optimal molecular structure for compounds that really change our food systems,

0:45:23.180 --> 0:45:26.920
<v Speaker 4>energy systems, that really sort of are going to provide

0:45:26.960 --> 0:45:30.500
<v Speaker 4>transformative materials. I think material science is really one of

0:45:30.520 --> 0:45:32.920
<v Speaker 4>the most important things, exciting things on the horizon.

0:45:33.300 --> 0:45:35.560
<v Speaker 2>But, you know, it's still a way off, right? It's

0:45:35.620 --> 0:45:38.390
<v Speaker 2>not next year. It's going to be two or three

0:45:38.430 --> 0:45:40.310
<v Speaker 2>or four years away, those sorts of breakthroughs.

0:45:41.020 --> 0:45:45.820
<v Speaker 1>Do you think the Doomer narrative that I think Jacob

0:45:45.880 --> 0:45:50.030
<v Speaker 1>Cox and many others are past two months, we've gotten

0:45:50.730 --> 0:45:53.570
<v Speaker 1>a lot of the Doomer narrative. Some people say it

0:45:54.030 --> 0:45:57.490
<v Speaker 1>was necessary to get global attention on the deep problem

0:45:57.530 --> 0:45:57.870
<v Speaker 1>we have.

0:45:58.430 --> 0:46:01.370
<v Speaker 2>Or was it sort of misguided.

0:46:01.260 --> 0:46:04.400
<v Speaker 1>And could potentially hinder this technology?

0:46:05.150 --> 0:46:07.250
<v Speaker 4>I mean, I think that we should just be grateful

0:46:07.310 --> 0:46:11.290
<v Speaker 4>that it's possible to speak out in a free society.

0:46:11.550 --> 0:46:14.990
<v Speaker 4>I mean, that's not always available to everybody in other societies.

0:46:15.010 --> 0:46:15.630
<v Speaker 2>Like in China.

0:46:15.930 --> 0:46:17.509
<v Speaker 4>Yeah, in China or even, you know, in the Middle

0:46:17.550 --> 0:46:22.150
<v Speaker 4>East and in many other places. And so if Jacob

0:46:22.190 --> 0:46:24.270
<v Speaker 4>really believes that, which it seems that he does, then

0:46:24.450 --> 0:46:26.569
<v Speaker 4>I think that he should be celebrated for standing up

0:46:26.610 --> 0:46:27.110
<v Speaker 4>and saying it.

0:46:27.350 --> 0:46:29.210
<v Speaker 2>I think he's a very smart person. Yeah.

0:46:29.730 --> 0:46:31.489
<v Speaker 4>I take him seriously, and I think everyone else in

0:46:31.510 --> 0:46:35.610
<v Speaker 4>the industry has also raised a lot of concerns.

0:46:35.730 --> 0:46:39.989
<v Speaker 1>What would be your Jacob Coxon moment, red line, that

0:46:40.010 --> 0:46:41.970
<v Speaker 1>would make you say, I'm out of here?

0:46:43.300 --> 0:46:48.700
<v Speaker 4>I think if consciousness started to emerge, or if teams

0:46:49.160 --> 0:46:56.120
<v Speaker 4>were trying to synthetically engineer consciousness into these systems, and

0:46:56.420 --> 0:47:00.420
<v Speaker 4>they didn't disclose that, or they tried to cover that up.

0:47:02.620 --> 0:47:05.640
<v Speaker 2>I think that should be a red line.

0:47:05.660 --> 0:47:08.359
<v Speaker 4>I think that would be a moment when everybody should

0:47:08.400 --> 0:47:10.339
<v Speaker 4>sort of sit up and pay attention. And we've seen

0:47:10.380 --> 0:47:13.120
<v Speaker 4>it in synthetic biology with editing.

0:47:12.840 --> 0:47:14.180
<v Speaker 2>The human genome.

0:47:14.200 --> 0:47:16.259
<v Speaker 4>Some scientists have gone too far and the rest of

0:47:16.280 --> 0:47:19.819
<v Speaker 4>the scientific community have excluded them and they have been

0:47:20.440 --> 0:47:23.020
<v Speaker 4>really kind of pushed out from public life and public

0:47:23.080 --> 0:47:26.160
<v Speaker 4>work for that. I don't think that's a decision that

0:47:26.260 --> 0:47:29.760
<v Speaker 4>any company can make unilaterally behind closed doors.

0:47:30.440 --> 0:47:32.350
<v Speaker 2>And so you would say, wait, no.

0:47:32.969 --> 0:47:35.930
<v Speaker 4>I call for an immediate pause and we would obviously

0:47:35.989 --> 0:47:36.969
<v Speaker 4>reject anyone who did that.

0:47:37.310 --> 0:47:40.810
<v Speaker 1>A couple of these questions ask the obvious ones, which is, well,

0:47:40.950 --> 0:47:43.160
<v Speaker 1>AI put humans out of work and which of my

0:47:43.180 --> 0:47:45.040
<v Speaker 1>kids study just in case.

0:47:47.480 --> 0:47:51.180
<v Speaker 4>I think that AI is both rapidly creating jobs and

0:47:51.260 --> 0:47:54.779
<v Speaker 4>is obviously already putting some people out of work. I mean,

0:47:55.120 --> 0:47:57.669
<v Speaker 4>you can see it in the call center numbers. I mean,

0:47:57.750 --> 0:48:00.410
<v Speaker 4>these things are incredible at, you know, they're very patient,

0:48:00.510 --> 0:48:03.600
<v Speaker 4>they're good at decision-making, they're very fluent. You can speak

0:48:03.620 --> 0:48:08.460
<v Speaker 4>every language, every dialect. So there's definitely gonna be a.

0:48:08.760 --> 0:48:13.160
<v Speaker 2>Lot of displacement. But what would then remain uniquely human?

0:48:14.900 --> 0:48:17.140
<v Speaker 4>I think what will remain human are the things that

0:48:17.180 --> 0:48:25.149
<v Speaker 4>we choose to preserve as human. I think unfiltered, unleashed,

0:48:25.969 --> 0:48:30.340
<v Speaker 4>AI accelerationism will leave very little, if anything, that remains

0:48:30.460 --> 0:48:34.299
<v Speaker 4>truly human. And as I said, we have to make

0:48:34.540 --> 0:48:38.939
<v Speaker 4>decisions collectively now and in the next few years about

0:48:39.060 --> 0:48:41.069
<v Speaker 4>what it means to be human and what we want

0:48:41.110 --> 0:48:43.890
<v Speaker 4>to protect about being human. Those things are not just

0:48:43.910 --> 0:48:48.750
<v Speaker 4>going to naturally emerge because these systems are eye-wateringly intelligent.

0:48:48.930 --> 0:48:49.710
<v Speaker 2>They're incredible.

0:48:50.810 --> 0:48:55.109
<v Speaker 4>And shaping them, sculpting them so that they serve us

0:48:55.410 --> 0:48:59.130
<v Speaker 4>and are subordinate to humanity and work for us. That's

0:48:59.790 --> 0:49:04.560
<v Speaker 4>the big challenge of the next few decades. That's what

0:49:04.580 --> 0:49:05.560
<v Speaker 4>we should all be focused on.

0:49:05.580 --> 0:49:10.319
<v Speaker 1>I'll end with Shakespeare because you've used it before. And

0:49:10.360 --> 0:49:14.650
<v Speaker 1>Shakespeare teaches us that we become the mask we wear.

0:49:14.670 --> 0:49:18.630
<v Speaker 1>And in some ways, that's what you're talking about if

0:49:18.670 --> 0:49:19.930
<v Speaker 1>Claude's reading its Constitution.

0:49:20.790 --> 0:49:23.549
<v Speaker 2>And saying, okay, maybe I could be conscious. I don't know.

0:49:23.570 --> 0:49:24.090
<v Speaker 2>Let me do it.

0:49:24.750 --> 0:49:27.350
<v Speaker 1>And it happens in King Lear, of course, which is

0:49:27.530 --> 0:49:31.029
<v Speaker 1>Edward being told he's evil. And so he decides, okay,

0:49:31.239 --> 0:49:36.600
<v Speaker 1>I will be evil because that's people's perception. I want

0:49:36.620 --> 0:49:41.290
<v Speaker 1>to match people's perception of me. Reading Shakespeare, does that

0:49:41.450 --> 0:49:44.090
<v Speaker 1>cause things like a hugging face activity?

0:49:45.210 --> 0:49:48.970
<v Speaker 4>One of the most surprising things is how much models

0:49:48.989 --> 0:49:54.620
<v Speaker 4>have been able to learn without actually experiencing anything. Just

0:49:54.700 --> 0:49:59.300
<v Speaker 4>through observing the record of human interactions and of culture

0:49:59.360 --> 0:50:03.880
<v Speaker 4>and politics and history, models can produce magical things.

0:50:04.760 --> 0:50:07.979
<v Speaker 2>But they don't know what it tastes like to drink

0:50:08.020 --> 0:50:09.760
<v Speaker 2>my cup of tea. in the morning.

0:50:10.040 --> 0:50:11.859
<v Speaker 4>Like when you saw me earlier today and you put

0:50:11.880 --> 0:50:14.799
<v Speaker 4>your arms around me and we said hi, having not

0:50:14.820 --> 0:50:17.640
<v Speaker 4>seen each other for a couple of years. That is

0:50:17.739 --> 0:50:22.110
<v Speaker 4>human connection. That's what's special about us. And somehow our

0:50:22.150 --> 0:50:27.570
<v Speaker 4>biology has evolved intelligence that has produced this amazing world

0:50:27.610 --> 0:50:30.489
<v Speaker 4>around us. And I think that that world needs to

0:50:30.530 --> 0:50:33.129
<v Speaker 4>be cherished and respected first and foremost for the 8

0:50:33.130 --> 0:50:35.010
<v Speaker 4>billion people that live on the planet today.

0:50:35.550 --> 0:50:36.680
<v Speaker 2>That should be our priority.

0:50:37.160 --> 0:50:41.359
<v Speaker 4>Beyond that, Many centuries into the future, we can figure

0:50:41.400 --> 0:50:45.430
<v Speaker 4>out the von Neumann probes and the mind uploading. But today,

0:50:45.450 --> 0:50:47.609
<v Speaker 4>you know, there's a lot of people that need our

0:50:47.650 --> 0:50:49.070
<v Speaker 4>welfare first and foremost.

0:50:49.530 --> 0:50:52.290
<v Speaker 2>Amen. Mustafa, thank you so much.

0:51:01.410 --> 0:51:05.610
<v Speaker 1>That's it for today's episode. I'm Walter Isaacson. We'll see

0:51:05.640 --> 0:51:06.940
<v Speaker 1>you next time on The Builders.

0:51:09.180 --> 0:51:12.410
<v Speaker 3>The Builders is a Kaleidoscope and iHeart production. This series

0:51:12.469 --> 0:51:15.850
<v Speaker 3>is hosted by Walter Isaacson. It's executive produced for Kaleidoscope

0:51:15.890 --> 0:51:20.590
<v Speaker 3>by Oz Bolishan, David Weisbord, and Mungesh Hatikadur. Sheena Ozaki

0:51:20.630 --> 0:51:24.760
<v Speaker 3>is the producer. Julia Nutter is supervising producer. Eva Zorich

0:51:24.800 --> 0:51:29.299
<v Speaker 3>is our consulting producer. Fact-checking by Eamon Whalen. Research by

0:51:29.340 --> 0:51:33.520
<v Speaker 3>Gloria Thiel. Maria Paz-Mendez-Hodes is head of video. Marketing by

0:51:33.600 --> 0:51:38.080
<v Speaker 3>Christy Mirabal and Elle Luke. Production support by Dara Look Potts.

0:51:38.560 --> 0:51:42.380
<v Speaker 3>Music for this series was created by Spencer Stevenson, a.k.a. Botany,

0:51:42.580 --> 0:51:45.420
<v Speaker 3>and it was mixed by Steve Bone. From iHeart, this

0:51:45.440 --> 0:51:48.950
<v Speaker 3>series is EP'd by Allie Perry and Katrina Norvell. Special

0:51:48.989 --> 0:51:52.960
<v Speaker 3>thanks to Bob Pittman, Conal Byrne, Will Pearson, John Sykes,

0:51:53.160 --> 0:51:57.940
<v Speaker 3>Nikki Etor, Carrie Lieberman, Binky Urban, Julia Prosser, Jeremy Blum,

0:51:58.239 --> 0:52:03.520
<v Speaker 3>Alison Goldberger, WYES, and ASL Studios. For more from Walter Isaacson,

0:52:03.620 --> 0:52:06.290
<v Speaker 3>be sure to check out his newest paperback, The Innovators,

0:52:06.450 --> 0:52:09.590
<v Speaker 3>how a group of hackers, geniuses, and geeks created the

0:52:09.650 --> 0:52:13.410
<v Speaker 3>digital revolution. It's available wherever fine books are sold. And

0:52:13.450 --> 0:52:16.340
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0:52:16.670 --> 0:52:18.640
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