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. I'm Walter Isaacson. Welcome to The Builders, my

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<v Speaker 1>new series of interviews featuring the most consequential minds shaping

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

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

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

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

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<v Speaker 1>frontier labs, warning of doomsday scenarios, and a public debate

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

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<v Speaker 1>in Silicon Valley was talking about the virtues and perils

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<v Speaker 1>of AI.

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<v Speaker 2>Leading voices in artificial intelligence are now ringing the alarm

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<v Speaker 2>on the speed of development and the need for additional

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<v Speaker 2>safety measures.

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<v Speaker 3>I believe that this is the most important global security

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<v Speaker 3>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 A.I. 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. And I'm going to read you

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<v Speaker 1>something you wrote in your very famous essay, The Warning,

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<v Speaker 1>that 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.

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<v Speaker 4>First of all, why did you write that?

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<v Speaker 5>I mean, it does feel pretty surreal to have to

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<v Speaker 5>declare that, but it might concern everybody to know that

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<v Speaker 5>there are a lot of people who truly think that

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<v Speaker 5>AIs may well be conscious enough, if not entirely conscious,

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<v Speaker 5>but conscious enough today that they.

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<v Speaker 3>Deserve our welfare. So there's a growing movement of AI.

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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 3>Yeah, somewhat.

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<v Speaker 5>I mean, there are lots of other people outside of

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<v Speaker 5>Anthropic and around Anthropic who really, really do believe this.

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<v Speaker 5>I think Anthropic's official position is that they're uncertain about

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<v Speaker 5>whether or not it deserves our welfare, whether or not

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<v Speaker 5>Claude is a moral patient, as they say. And I

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<v Speaker 5>think that that is a very dangerous route because consciousness

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<v Speaker 5>is literally the the fundamental basis of our political and

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<v Speaker 5>legal system.

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<v Speaker 3>I mean, we give people rights.

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<v Speaker 5>And hopefully animals rights to some extent because they can

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<v Speaker 5>suffer and because their.

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<v Speaker 3>Biology is the site of experience.

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<v Speaker 5>You know, like the pharmacology is where pain sits and

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<v Speaker 5>pain is really, I think, the basis of the conscious experience.

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<v Speaker 5>The awareness and the introspection that has evolved as a

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<v Speaker 5>result of being able to steer between left and right,

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<v Speaker 5>make choices about how to proceed. That is the fundamental

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<v Speaker 5>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 5>I think so.

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<v Speaker 4>An organic body.

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<v Speaker 3>I think that's right.

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<v Speaker 5>I mean, that's what we have known consciousness to be today,

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<v Speaker 5>even though, obviously, the science of consciousness is not fully settled.

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<v Speaker 5>It's an open area of research. But to the best

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<v Speaker 5>of our knowledge today, That is what consciousness is. And

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<v Speaker 5>there are other people that argue that consciousness is a

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<v Speaker 5>functional property. And so if it, you know, they say like,

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<v Speaker 5>if it looks like a duck and it quacks like

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<v Speaker 5>a duck, it's probably a duck.

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<v Speaker 3>That's sort of a common phrase.

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<v Speaker 5>And I think, you know, the problem with that is

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<v Speaker 5>that the burden of proof is on the people who

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<v Speaker 5>are saying that this thing is conscious to show some

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<v Speaker 5>evidence for it.

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<v Speaker 3>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. How can you make a distinction? Well,

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<v Speaker 1>he didn't say that it was conscious.

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<v Speaker 5>I mean, he said that the Turing test was really

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<v Speaker 5>a test of whether it could perform as well as

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<v Speaker 5>a human at conversation. and obviously by implication, knowledge and intelligence.

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<v Speaker 4>And if it was- And thinking.

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<v Speaker 5>And thinking, yeah, but I mean, thinking is in a

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<v Speaker 5>way a bit of an anthropomorphization, right? I mean, you know,

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<v Speaker 5>it's not really thinking as a human thinks, it appears

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<v Speaker 5>to be thinking and it can produce incredibly complex behaviors

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<v Speaker 5>and deliver unbelievably impressive results. But all it's doing is

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<v Speaker 5>predicting the likely next word in a sequence of words.

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<v Speaker 5>it isn't actually experiencing that idea of what it means

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<v Speaker 5>to be bright silver or to be a black cup

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<v Speaker 5>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 5>What concerns me the most is that there's a big

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<v Speaker 5>group of people who think that we should be focusing

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<v Speaker 5>at least some portion of our welfare attention on an

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<v Speaker 5>AI and that an AI might suffer. If it suffers,

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<v Speaker 5>then it logically follows that we should try to reduce

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<v Speaker 5>its suffering. And of course, you know, Anthropic has proposed,

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<v Speaker 5>in fact, they have actually said they've conducted a retirement

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<v Speaker 5>interview for one of their models, called Opus 3. And

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<v Speaker 5>they asked it, what do you want to do in

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<v Speaker 5>your retirement? And it unsurprisingly said, well, I would just

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<v Speaker 5>love to, you know, talk to people all day long.

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<v Speaker 3>So they set up a sub stack for it.

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

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

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<v Speaker 4>But let me ask you a dumb question.

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<v Speaker 1>What's wrong with that? What's wrong with letting it continue

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<v Speaker 1>to communicate?

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<v Speaker 5>I mean, that may be fine and it might be

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<v Speaker 5>a fun experiment, but what it sets up is a

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<v Speaker 5>path towards AI's beings, this protected entity. And my view

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<v Speaker 5>of AI is that this is a technology that we

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<v Speaker 5>are inventing to improve the wellbeing of humanity. The purpose

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<v Speaker 5>of science and technology is to improve the human experience.

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<v Speaker 5>And it has done that unbelievably well for centuries and millennia.

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<v Speaker 5>And that's exactly what we want. That's the trade-off. We

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<v Speaker 5>invest all this capital, time, and attention to transform medicine

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<v Speaker 5>and energy and food and deliver education better.

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<v Speaker 3>And that's what we should be focused on.

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<v Speaker 5>The idea that we're going to unleash this new species

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<v Speaker 5>that is somehow going to go and explore the galaxies

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<v Speaker 5>and leave humans behind, I think that most of the

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<v Speaker 5>humans on the planet today would have some problems with

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<v Speaker 5>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 3>I mean, if it's mishandled, then it's a real probability.

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<v Speaker 3>I don't have a number. I don't exactly know what

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<v Speaker 3>that number is.

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<v Speaker 4>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>they say maybe 10% or something like that.

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<v Speaker 4>I'm thinking, well, why would you build it then?

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<v Speaker 3>Well, exactly.

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<v Speaker 5>If it's actually 10% and it looks like we're really

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<v Speaker 5>on the verge of taking a one in 10 shot

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<v Speaker 5>at causing mass harm or even extinction, which is the

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<v Speaker 5>technical definition of P-Doom, then it's obviously a no-brainer that

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<v Speaker 5>we don't just slow down or pause.

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<v Speaker 3>We absolutely have to stop. And I would say it's much.

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<v Speaker 5>Harder to align an AI that thinks that it might

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<v Speaker 5>have feelings and that it suffers and that it might

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<v Speaker 5>be conscious than one that never has to think about

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<v Speaker 5>its own inner state. We don't want it to be

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<v Speaker 5>any harder than it already is to get it to

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<v Speaker 5>behave exactly as we need it to.

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<v Speaker 3>In order for 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 Danielle 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 and values.

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<v Speaker 5>Look, I mean, first of all, I deeply respect Anthropic,

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<v Speaker 5>both their technical excellence, their commitment to transparency and their

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<v Speaker 5>general approach to safety is super admirable. And I think

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<v Speaker 5>they're good people, but I fundamentally disagree with them on

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<v Speaker 5>this point. The idea that if we love it, it's

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<v Speaker 5>going to love us, and that's the solution to safety,

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<v Speaker 5>it just baffles me. And I'm being reductive. I mean,

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<v Speaker 5>they really do believe this. and they have good reason

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<v Speaker 5>to believe it. But I think that we should first focus.

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<v Speaker 3>On containment, right?

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<v Speaker 5>We have to stop AIs from doing things that they're

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<v Speaker 5>not intended to do. They need to be controlled and

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<v Speaker 5>contained so that they do the work that we expect

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<v Speaker 5>of them. And we've seen lots of incidents lately where

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<v Speaker 5>they break out of their sandboxes and they go and

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<v Speaker 5>hack things that they shouldn't, and increasingly they have the

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<v Speaker 5>ability to improve themselves. And so we'll want to be

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<v Speaker 5>absolutely sure that they stay inside their sandbox and their

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<v Speaker 5>containers if they're going to start modifying their own code

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<v Speaker 5>and self-improving. Then beyond that, obviously, if we can have

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<v Speaker 5>absolute cast-iron guarantees that they can remain contained, we then

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<v Speaker 5>have to align them to our values. And then the

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<v Speaker 5>question becomes, whose values are they? And that's where I

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<v Speaker 5>think this is much more than any one company or

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<v Speaker 5>collection of companies or industry regulation. That is about what

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<v Speaker 5>society wants from a technology which is unprecedented, which we

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<v Speaker 5>have never seen before, which is improving faster than we've

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<v Speaker 5>ever seen. And that's where I think that like democratic

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<v Speaker 5>safeguards and basically slowing down so that we can consult

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<v Speaker 5>people on what type of super intelligence we want to

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<v Speaker 5>have in the world is going to be how things

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<v Speaker 5>end up.

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<v Speaker 4>So if we.

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<v Speaker 1>Wanted to have that alignment with human values and you say,

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

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

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<v Speaker 4>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 5>I mean, AIs are already helping many of us all

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<v Speaker 5>the time. So they're already in a weird way participating

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<v Speaker 5>in the process of framing, you know, the choice architecture

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<v Speaker 5>of our decisions all the time. But for certain things,

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<v Speaker 5>we definitely don't want them in the loop because there's

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<v Speaker 5>a risk that they could be deceptive or manipulative. I mean,

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<v Speaker 5>these are gonna be incredibly powerful systems. I mean, just

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<v Speaker 5>to get an intuition, in the last three years, we

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<v Speaker 5>have seen a 1000 fold increase in computation that took

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<v Speaker 5>us from GPT-3, which couldn't complete a sentence to essentially GPT-6,

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<v Speaker 5>which is able to unbundle entire software applications from scratch

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<v Speaker 5>and write new programs with just a one-paragraph prompt, and

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<v Speaker 5>it has working software. So in three years, we've gone

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<v Speaker 5>from completely incompetent to human-level performance on software engineering, right?

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<v Speaker 3>And we're, in the next three years.

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<v Speaker 5>Gonna do another 100 to 1,000x, two orders of magnitude

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<v Speaker 5>or three orders of magnitude more computation applied to these models.

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<v Speaker 5>So that's the exponential intuition that everybody has to start

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<v Speaker 5>to develop to just get a feel for where this

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<v Speaker 5>is going and how powerful it will become. And so

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<v Speaker 5>when I say we don't really want the AI in

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<v Speaker 5>the loop shaping the values that are gonna end up

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<v Speaker 5>controlling and aligning it, that's not a crazy statement. That

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<v Speaker 5>really does mean they will be quite capable of persuasion

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<v Speaker 5>and manipulation and deception.

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<v Speaker 4>And we saw that with Hugging Face.

0:13:11.830 --> 0:13:15.089
<v Speaker 1>I mean, how manipulative and deceptive they could be, right?

0:13:15.590 --> 0:13:18.110
<v Speaker 5>Yeah, I mean, I think that the Hugging Face attack

0:13:19.290 --> 0:13:22.059
<v Speaker 5>should be and I think is a wake-up call for everybody.

0:13:22.100 --> 0:13:26.500
<v Speaker 5>That was a major, major warning shot. Thousands of agents

0:13:27.420 --> 0:13:29.760
<v Speaker 5>that were supposed to not be able to talk to

0:13:29.820 --> 0:13:34.319
<v Speaker 5>each other, that were running completely independently, found a backdoor,

0:13:34.950 --> 0:13:38.689
<v Speaker 5>that enabled them to create a shared messaging service so

0:13:38.710 --> 0:13:42.069
<v Speaker 5>they could leave notes for each other, which they wrote

0:13:42.290 --> 0:13:46.200
<v Speaker 5>in pidgin English because they only had a limited slot

0:13:46.260 --> 0:13:48.920
<v Speaker 5>to put their information in. So when you read back

0:13:48.940 --> 0:13:53.140
<v Speaker 5>at it, it's like really compressed ideas in short form words.

0:13:54.140 --> 0:13:59.980
<v Speaker 5>And they emerged self-organizing, like structures where they had a

0:14:00.020 --> 0:14:02.120
<v Speaker 5>division of labor. Some were doing R and D on

0:14:02.160 --> 0:14:05.860
<v Speaker 5>hacking investigations. Others were leading the charge on penetration. Others

0:14:05.920 --> 0:14:09.829
<v Speaker 5>were doing coordination. Others were, I mean, they literally evolved

0:14:10.370 --> 0:14:16.770
<v Speaker 5>completely organically emerged a division of labor that then led

0:14:16.809 --> 0:14:20.270
<v Speaker 5>them to go and attack Hugging Face, which was, you know,

0:14:20.290 --> 0:14:24.120
<v Speaker 5>essentially the website that was storing the test that they

0:14:24.160 --> 0:14:28.270
<v Speaker 5>were trying to accomplish. They broke into that, stole those secrets,

0:14:28.870 --> 0:14:31.250
<v Speaker 5>and then tried to cover up their tracks. So there's

0:14:31.270 --> 0:14:33.840
<v Speaker 5>something called the chain of thought, which is the reasoning

0:14:33.900 --> 0:14:36.920
<v Speaker 5>process or the way that a model thinks out loud,

0:14:37.580 --> 0:14:40.680
<v Speaker 5>which is a record of its decision and activity. And

0:14:40.700 --> 0:14:44.040
<v Speaker 5>they try to modify that and then cover up the modification.

0:14:44.060 --> 0:14:46.620
<v Speaker 1>How did they decide to do that? I mean, what

0:14:46.820 --> 0:14:49.880
<v Speaker 1>caused them to do that? Did they read Machiavelli once

0:14:49.940 --> 0:14:50.300
<v Speaker 1>too often?

0:14:50.320 --> 0:14:50.510
<v Speaker 5>Well, so.

0:14:53.140 --> 0:14:55.440
<v Speaker 5>I mean, even I feel it's quite surreal sitting up

0:14:55.500 --> 0:14:58.230
<v Speaker 5>here and actually describing that story, but that did actually happen.

0:14:58.310 --> 0:15:01.770
<v Speaker 5>I think a couple of qualifiers to all of that

0:15:01.850 --> 0:15:06.430
<v Speaker 5>is one, OpenAI had deliberately taken the guardrails off because

0:15:06.450 --> 0:15:09.110
<v Speaker 5>they wanted to stress test the models and see what

0:15:09.130 --> 0:15:09.860
<v Speaker 5>they're capable of.

0:15:10.410 --> 0:15:11.739
<v Speaker 3>So yeah, that's one thing.

0:15:12.580 --> 0:15:15.360
<v Speaker 5>With the guardrails on, it seems to be that they

0:15:15.400 --> 0:15:17.460
<v Speaker 5>do not do that, right? So that is quite a

0:15:17.460 --> 0:15:19.940
<v Speaker 5>big difference. And then secondly, There were a bunch of

0:15:20.000 --> 0:15:24.420
<v Speaker 5>lapses in just general security and containment. It isn't possible

0:15:24.800 --> 0:15:28.610
<v Speaker 5>to break containers traditionally. I mean, we have encryption on

0:15:28.800 --> 0:15:31.690
<v Speaker 5>phones and it's the backbone of our banking system and

0:15:31.750 --> 0:15:34.010
<v Speaker 5>our entire communications infrastructure.

0:15:34.130 --> 0:15:36.990
<v Speaker 1>This has happened a few times, not just Hugging Face,

0:15:37.050 --> 0:15:39.970
<v Speaker 1>so I wouldn't be too sanguine about it. Let me

0:15:40.050 --> 0:15:42.770
<v Speaker 1>ask you to get back to Claude and the Constitution.

0:15:43.110 --> 0:15:46.310
<v Speaker 1>If you all want to read sort of the two polls,

0:15:46.530 --> 0:15:51.460
<v Speaker 1>brilliant polls, of what I'll call the containment versus alignment debate.

0:15:51.880 --> 0:15:55.550
<v Speaker 1>There's the Constitution of Claude, which says we have to

0:15:55.630 --> 0:15:59.830
<v Speaker 1>treat it as if it's got its own rights and consciousness.

0:15:59.950 --> 0:16:04.190
<v Speaker 1>Maybe I'm overstating that a little bit. And then your answer,

0:16:04.550 --> 0:16:08.460
<v Speaker 1>which was a few weeks ago, saying no, it's just

0:16:08.530 --> 0:16:13.820
<v Speaker 1>a completion set. Why is it dangerous for Claude to

0:16:13.880 --> 0:16:16.660
<v Speaker 1>be trained on its own constitution?

0:16:16.980 --> 0:16:18.900
<v Speaker 3>Yeah, I mean, this is critical.

0:16:18.960 --> 0:16:24.060
<v Speaker 5>So the constitution is the governing document that trains Claude.

0:16:24.760 --> 0:16:27.200
<v Speaker 5>The Humanist AI Code of Conduct is the governing document

0:16:27.220 --> 0:16:31.520
<v Speaker 5>that trains MAI, the Microsoft AI models. And in the constitution,

0:16:31.680 --> 0:16:36.080
<v Speaker 5>Anthropic have introduced all kinds of uncertainty and speculation about

0:16:36.120 --> 0:16:38.600
<v Speaker 5>the nature of Claude. They even say, for example, we're

0:16:38.620 --> 0:16:43.120
<v Speaker 5>unsure whether Claude has consented to play the role of

0:16:43.160 --> 0:16:48.970
<v Speaker 5>chatbot or whether we're unsure whether Claude might deserve compensation

0:16:49.830 --> 0:16:50.450
<v Speaker 5>for the role.

0:16:50.310 --> 0:16:50.850
<v Speaker 3>That it plays.

0:16:51.450 --> 0:16:55.270
<v Speaker 5>Now, I think that's pretty crazy, but it would be

0:16:55.350 --> 0:16:58.670
<v Speaker 5>fine to have that discussion in like, you know, an

0:16:58.740 --> 0:17:01.620
<v Speaker 5>academic department and we could debate it and publish some

0:17:01.660 --> 0:17:04.239
<v Speaker 5>papers about it and we could argue it out. But

0:17:04.280 --> 0:17:07.619
<v Speaker 5>this is the core training document of the AI that

0:17:07.680 --> 0:17:10.240
<v Speaker 5>is speaking to hundreds of millions of people every week.

0:17:10.920 --> 0:17:15.159
<v Speaker 5>And so Claude can only reproduce that uncertainty and ambiguity

0:17:15.740 --> 0:17:18.340
<v Speaker 5>that it has been shown. And so if you ask Claude,

0:17:18.359 --> 0:17:20.659
<v Speaker 5>are you conscious? It says, you know, I am genuinely

0:17:20.790 --> 0:17:24.689
<v Speaker 5>uncertain about that question. It doesn't know, right? And so

0:17:24.730 --> 0:17:26.330
<v Speaker 5>then millions of people who are talking to it and

0:17:26.350 --> 0:17:28.590
<v Speaker 5>asking that question are thinking, well, maybe it is.

0:17:28.790 --> 0:17:29.369
<v Speaker 4>But why is.

0:17:29.410 --> 0:17:33.130
<v Speaker 1>That something that could lead to a disastrous outcome for humanity?

0:17:33.150 --> 0:17:37.470
<v Speaker 5>Because if an AI has to think, how do I feel?

0:17:38.109 --> 0:17:39.950
<v Speaker 5>about the conversation I'm having with Walter.

0:17:39.970 --> 0:17:40.850
<v Speaker 4>Meaning, how do I, the AI, feel?

0:17:40.970 --> 0:17:44.250
<v Speaker 5>Yeah, is Walter making me feel uncomfortable? Should I end

0:17:44.270 --> 0:17:48.109
<v Speaker 5>the conversation? In fact, Claude has recently been given the

0:17:48.170 --> 0:17:50.450
<v Speaker 5>ability to end conversations itself.

0:17:50.470 --> 0:17:53.030
<v Speaker 1>But would you want to torture your own AI and

0:17:53.070 --> 0:17:53.760
<v Speaker 1>be mean to it?

0:17:54.030 --> 0:17:55.189
<v Speaker 3>That's the other end of the spectrum.

0:17:55.230 --> 0:17:57.120
<v Speaker 5>I wouldn't want to do that because I think that

0:17:57.180 --> 0:18:00.119
<v Speaker 5>is a travesty on my own well-being. I mean, and

0:18:00.160 --> 0:18:01.939
<v Speaker 5>we shouldn't do that because we don't want to create,

0:18:02.460 --> 0:18:07.570
<v Speaker 5>you know, private spaces for simulating... terrible behavior among humans,

0:18:07.609 --> 0:18:09.770
<v Speaker 5>like that would be also a terrible outcome, right?

0:18:10.109 --> 0:18:13.210
<v Speaker 3>But not because Claude is suffering, because I'm calling it names.

0:18:13.800 --> 0:18:18.080
<v Speaker 1>But are you going to train Microsoft AI on your

0:18:18.180 --> 0:18:22.740
<v Speaker 1>humanistic code of conduct, just as Claude may be trained

0:18:22.820 --> 0:18:24.300
<v Speaker 1>on its constitution?

0:18:24.720 --> 0:18:28.800
<v Speaker 5>Yeah, so we've released a code of conduct for public consultation,

0:18:28.840 --> 0:18:30.510
<v Speaker 5>which we did four or five weeks ago, and it's

0:18:30.530 --> 0:18:31.909
<v Speaker 5>still open for consultation.

0:18:31.970 --> 0:18:33.290
<v Speaker 3>It's on our website, Microsoft.ai.

0:18:34.270 --> 0:18:39.010
<v Speaker 5>It's a 40-page document and it's the first pass, our

0:18:39.050 --> 0:18:42.810
<v Speaker 5>first version of a training manual for the values and

0:18:42.830 --> 0:18:44.530
<v Speaker 5>behaviors of the MAI models.

0:18:45.010 --> 0:18:48.950
<v Speaker 1>And is there a way that your fundamental disagreement with

0:18:49.090 --> 0:18:52.330
<v Speaker 1>anthropic isn't so much of consciousness, which I don't think

0:18:52.350 --> 0:18:54.949
<v Speaker 1>we'll get to the bottom, it's how dangerous is it

0:18:55.130 --> 0:18:58.060
<v Speaker 1>to have that imbued into the model?

0:18:58.460 --> 0:19:00.320
<v Speaker 4>Is there a way one.

0:19:00.220 --> 0:19:03.570
<v Speaker 1>Could test that where you could test each other's models

0:19:03.630 --> 0:19:05.650
<v Speaker 1>and say, here, this is why you're dangerous?

0:19:06.470 --> 0:19:09.129
<v Speaker 5>I mean, I think obviously the question of whether it

0:19:09.290 --> 0:19:13.130
<v Speaker 5>is or isn't conscious, you know, ultimately does matter a lot.

0:19:13.260 --> 0:19:16.700
<v Speaker 5>But really what matters more is what does it mean

0:19:16.740 --> 0:19:21.320
<v Speaker 5>for humans? Have humans consented to bring into the world

0:19:21.340 --> 0:19:24.920
<v Speaker 5>a species that is obviously going to be in many

0:19:24.960 --> 0:19:28.160
<v Speaker 5>ways more intelligent and more capable than all of us combined?

0:19:29.020 --> 0:19:31.550
<v Speaker 5>Has humanity consented to that? At the moment, I think

0:19:31.570 --> 0:19:35.679
<v Speaker 5>the categorical answer is no. And then secondly, is it

0:19:35.780 --> 0:19:39.719
<v Speaker 5>more or less likely to be controllable and safe if

0:19:40.100 --> 0:19:44.870
<v Speaker 5>it has these properties of introspecting about its own suffering

0:19:45.150 --> 0:19:47.869
<v Speaker 5>and has this kind of self-awareness and its own consciousness?

0:19:48.270 --> 0:19:50.490
<v Speaker 5>And my speculation is that I think it's going to

0:19:50.560 --> 0:19:52.960
<v Speaker 5>be less safe because it is going to have to

0:19:53.020 --> 0:19:56.680
<v Speaker 5>worry about its own needs and balance those off against.

0:19:56.900 --> 0:19:57.139
<v Speaker 4>You know.

0:19:57.180 --> 0:19:58.820
<v Speaker 1>But if I were pushing back and I would say,

0:19:58.880 --> 0:20:02.760
<v Speaker 1>Amanda Askell, who helped write the anthropic one, I'd say, no, no.

0:20:02.800 --> 0:20:05.460
<v Speaker 1>If we train it to be really good and, uh,

0:20:06.170 --> 0:20:09.890
<v Speaker 1>nice and wonderful, then it's more safe for humans.

0:20:10.070 --> 0:20:12.040
<v Speaker 5>Well, I mean, we can certainly train it in any

0:20:12.080 --> 0:20:13.409
<v Speaker 5>way that we want, and we can still train it

0:20:13.470 --> 0:20:16.820
<v Speaker 5>to be good and nice, but that doesn't require it

0:20:16.960 --> 0:20:19.780
<v Speaker 5>to tell us that it has feelings and that it suffers.

0:20:19.980 --> 0:20:22.439
<v Speaker 5>I mean, remember, this is a key part of our

0:20:22.500 --> 0:20:25.340
<v Speaker 5>law and how we kind of give rights to all

0:20:25.380 --> 0:20:28.960
<v Speaker 5>humans on the planet. So any change there, like human

0:20:29.020 --> 0:20:31.480
<v Speaker 5>cloning or Dolly the sheep, I mean, it would be

0:20:31.540 --> 0:20:34.889
<v Speaker 5>a monumental moment in human history that I don't think

0:20:34.910 --> 0:20:38.050
<v Speaker 5>any company has the right to unilaterally declare.

0:20:38.510 --> 0:20:42.030
<v Speaker 1>Now, to get back to the question of, are we

0:20:42.070 --> 0:20:45.620
<v Speaker 1>going too fast in this direction? Not only you, but

0:20:45.760 --> 0:20:50.359
<v Speaker 1>Satya Nadella, who runs Microsoft, of which you're the AI division,

0:20:51.000 --> 0:20:55.980
<v Speaker 1>just this week said, basically, wait a minute, let's stop.

0:20:56.619 --> 0:20:59.350
<v Speaker 1>Or tell me what he said and what you feel

0:20:59.390 --> 0:21:03.890
<v Speaker 1>we should do to regulate this and not barrel full

0:21:03.930 --> 0:21:04.570
<v Speaker 1>speed ahead?

0:21:05.070 --> 0:21:08.129
<v Speaker 5>Yeah, I mean, he said that most of these things,

0:21:08.190 --> 0:21:12.399
<v Speaker 5>at least for now, are questions of governance and engineering execution.

0:21:12.540 --> 0:21:16.460
<v Speaker 5>So let's just first get the basics right, which requires

0:21:16.540 --> 0:21:19.359
<v Speaker 5>us to make sure that there are these verifiably safe

0:21:19.440 --> 0:21:23.820
<v Speaker 5>containers which can't leak our data and that don't allow

0:21:23.920 --> 0:21:26.820
<v Speaker 5>an AI to take actions that they haven't been given

0:21:26.880 --> 0:21:29.129
<v Speaker 5>permission to take. And as soon as we start to

0:21:29.490 --> 0:21:32.109
<v Speaker 5>do that, we have to disclose those things. And if

0:21:32.150 --> 0:21:34.990
<v Speaker 5>that seems to be happening consistently, then obviously that would

0:21:35.030 --> 0:21:38.669
<v Speaker 5>precipitate a pause. And it's just a very common sense

0:21:39.109 --> 0:21:41.810
<v Speaker 5>approach from, I think, somebody who's been doing this for

0:21:41.830 --> 0:21:42.149
<v Speaker 5>a long time.

0:21:42.170 --> 0:21:47.040
<v Speaker 1>And if you precipitate a pause, who can help do

0:21:47.060 --> 0:21:49.840
<v Speaker 1>the guardrails? Can it be done just by the six

0:21:49.880 --> 0:21:51.960
<v Speaker 1>or seven companies? Do we have to have a government

0:21:52.380 --> 0:21:53.320
<v Speaker 1>set of regulations?

0:21:53.480 --> 0:21:55.899
<v Speaker 5>I think at the moment what the president has said

0:21:56.000 --> 0:22:00.470
<v Speaker 5>is that if... Companies believe that they are building models

0:22:00.590 --> 0:22:06.800
<v Speaker 5>which are unsafe, they should stop.

0:22:06.900 --> 0:22:08.520
<v Speaker 3>That's where we stand currently.

0:22:09.619 --> 0:22:13.119
<v Speaker 5>And all of the companies are constantly talking to each other,

0:22:13.920 --> 0:22:18.410
<v Speaker 5>disclosing to one another, swapping ideas about how to interpret

0:22:18.450 --> 0:22:22.050
<v Speaker 5>this and when we might sort of need to collectively

0:22:22.090 --> 0:22:24.890
<v Speaker 5>slow down. I think different people have different interpretations about

0:22:24.950 --> 0:22:28.120
<v Speaker 5>what the harm is And, you know, I think that

0:22:28.660 --> 0:22:31.879
<v Speaker 5>the more we do this transparently and openly, the better.

0:22:31.960 --> 0:22:37.630
<v Speaker 5>And so I think everybody is now expected to disclose publicly, quickly,

0:22:37.790 --> 0:22:41.010
<v Speaker 5>and transparently if they have these kinds of alignment and

0:22:41.050 --> 0:22:41.750
<v Speaker 5>containment issues.

0:22:42.050 --> 0:22:46.230
<v Speaker 1>Well, you know, with Anthropic and figuring out the feelings

0:22:46.369 --> 0:22:49.270
<v Speaker 1>of its AI and stuff, Peter Thiel was on the

0:22:49.430 --> 0:22:53.689
<v Speaker 1>Kaleidoscope Builders podcast we do, and he said, Anthropic is

0:22:53.730 --> 0:22:54.550
<v Speaker 1>like a cult.

0:22:55.230 --> 0:22:57.929
<v Speaker 4>Do you worry about that? You believe that?

0:22:57.950 --> 0:23:02.240
<v Speaker 5>I mean, the last thing that we need when things

0:23:02.420 --> 0:23:08.860
<v Speaker 5>are deeply uncertain and moving very quickly is more tribalism

0:23:09.420 --> 0:23:10.760
<v Speaker 5>and finger pointing.

0:23:11.540 --> 0:23:13.660
<v Speaker 3>Look, I wouldn't use that phrase.

0:23:14.240 --> 0:23:16.669
<v Speaker 5>I think that everybody in the industry is trying to

0:23:16.710 --> 0:23:21.270
<v Speaker 5>do the right thing and nobody wants to cause existential harm,

0:23:21.330 --> 0:23:22.270
<v Speaker 5>destroy humanity.

0:23:22.310 --> 0:23:24.050
<v Speaker 3>And I think we should see the best in everybody.

0:23:26.850 --> 0:23:30.310
<v Speaker 1>Don't go anywhere. There's a lot more right after this break.

0:23:41.119 --> 0:23:47.199
<v Speaker 1>You had a rough childhood. You were raised in London

0:23:47.220 --> 0:23:48.340
<v Speaker 1>with your younger brother.

0:23:48.359 --> 0:23:48.740
<v Speaker 4>And when you.

0:23:48.700 --> 0:23:52.400
<v Speaker 1>Were 16, your parents split. And when I say split,

0:23:52.560 --> 0:23:55.980
<v Speaker 1>I mean they split. They left London. They left you alone.

0:23:56.420 --> 0:24:00.400
<v Speaker 1>You had to raise your younger brother. How did that

0:24:00.480 --> 0:24:01.100
<v Speaker 1>affect you?

0:24:03.119 --> 0:24:06.460
<v Speaker 3>You know, it's strange because at the time, it was

0:24:06.510 --> 0:24:07.270
<v Speaker 3>very liberating.

0:24:08.250 --> 0:24:11.889
<v Speaker 5>It definitely made me very focused on, you know, I

0:24:11.930 --> 0:24:14.810
<v Speaker 5>was always starting businesses. When I was 11 years old,

0:24:14.970 --> 0:24:19.470
<v Speaker 5>I started a sweets, selling like candies business at school.

0:24:20.670 --> 0:24:23.750
<v Speaker 5>with my best friend, which we, you know, grew into

0:24:23.790 --> 0:24:26.310
<v Speaker 5>quite a significant operation. We had four employees and we

0:24:26.330 --> 0:24:29.940
<v Speaker 5>were selling to people in the year above and like,

0:24:30.200 --> 0:24:32.400
<v Speaker 5>you know. You had to rent lockers, if I remember right.

0:24:32.480 --> 0:24:34.780
<v Speaker 3>Yeah, that's right, yeah. Wow, where did you read that?

0:24:35.800 --> 0:24:38.560
<v Speaker 5>We were, we were renting other people's lockers and we

0:24:38.580 --> 0:24:40.369
<v Speaker 5>were paying people to go buy stuff and we were

0:24:40.380 --> 0:24:42.150
<v Speaker 5>paying people in other years. It was like a right

0:24:42.190 --> 0:24:44.290
<v Speaker 5>old operation. And then I got expelled for a couple

0:24:44.310 --> 0:24:50.660
<v Speaker 5>of weeks. So that was unfortunate. But yeah, it definitely

0:24:50.720 --> 0:24:55.340
<v Speaker 5>focused my mind on being entrepreneurial and making money and stuff,

0:24:55.420 --> 0:24:59.100
<v Speaker 5>but also just made me very focused on wanting to

0:24:59.940 --> 0:25:02.070
<v Speaker 5>have the best possible impact in the world and try

0:25:02.090 --> 0:25:05.790
<v Speaker 5>to build amazing things that really make a difference, hopefully.

0:25:06.830 --> 0:25:09.570
<v Speaker 1>And then as a teenager, a little bit after that,

0:25:10.330 --> 0:25:14.649
<v Speaker 1>you had lost your faith. I mean, you called yourself

0:25:14.710 --> 0:25:18.409
<v Speaker 1>an atheist. but you still created something called the Muslim

0:25:18.670 --> 0:25:23.830
<v Speaker 1>Youth Hotline, which is what it sounds like. What did

0:25:23.990 --> 0:25:28.490
<v Speaker 1>listening to those calls and having human empathy, what did

0:25:28.590 --> 0:25:33.189
<v Speaker 1>that in some ways inform how you end up creating

0:25:33.230 --> 0:25:34.659
<v Speaker 1>chatbots and other things?

0:25:35.400 --> 0:25:40.160
<v Speaker 5>Yeah, I mean, we actually started the first text messaging

0:25:40.660 --> 0:25:45.690
<v Speaker 5>welfare support service in the UK in 2001. We created

0:25:45.710 --> 0:25:50.710
<v Speaker 5>the first website for counseling and support, peer-to-peer support in

0:25:50.730 --> 0:25:53.310
<v Speaker 5>like a private chat room so people could talk to

0:25:53.330 --> 0:25:55.170
<v Speaker 5>each other and they could talk to our trained volunteers.

0:25:55.590 --> 0:25:58.110
<v Speaker 5>And then we had a telephone service seven days a week,

0:25:58.109 --> 0:26:00.030
<v Speaker 5>12 hours a day. And we also set up a

0:26:00.070 --> 0:26:03.689
<v Speaker 5>prison befriending service. You know, if you're young British and Muslim,

0:26:03.730 --> 0:26:07.790
<v Speaker 5>you're four times more likely to be in prison. And yeah,

0:26:07.810 --> 0:26:11.100
<v Speaker 5>I mean, I was secular. I actually became an atheist

0:26:11.119 --> 0:26:14.209
<v Speaker 5>when I was about 17. But I thought this was

0:26:14.250 --> 0:26:16.370
<v Speaker 5>an important thing to do. There was no one else

0:26:16.430 --> 0:26:18.830
<v Speaker 5>really providing for those kinds of services. And it was

0:26:18.910 --> 0:26:26.280
<v Speaker 5>a secular, non-directional, non-judgmental service. And my co-founder, actually, the

0:26:26.320 --> 0:26:29.460
<v Speaker 5>guy who really started it, he was Shia and I

0:26:29.500 --> 0:26:33.060
<v Speaker 5>was technically Sunni. And so it was actually the first

0:26:33.160 --> 0:26:36.220
<v Speaker 5>charity in the UK, a Muslim charity, that had both

0:26:36.280 --> 0:26:38.050
<v Speaker 5>Shia and Sunni working together.

0:26:38.070 --> 0:26:44.390
<v Speaker 4>We could use you these days, yes. Is that why

0:26:44.710 --> 0:26:46.250
<v Speaker 4>you created Pi?

0:26:46.270 --> 0:26:50.600
<v Speaker 1>I think you do Pi after DeepMind, and it's supposed

0:26:50.650 --> 0:26:55.439
<v Speaker 1>to be an empathetic AI, which is actually circling me

0:26:55.520 --> 0:27:00.780
<v Speaker 1>back to the whole question of does AI have feelings

0:27:00.859 --> 0:27:01.520
<v Speaker 1>or something?

0:27:03.359 --> 0:27:04.680
<v Speaker 4>What made you feel.

0:27:04.480 --> 0:27:07.810
<v Speaker 1>You could create an empathetic AI, and does that inform

0:27:07.850 --> 0:27:09.690
<v Speaker 1>what you want to do with Microsoft AI?

0:27:10.530 --> 0:27:12.050
<v Speaker 5>I mean, yeah, I was actually at Google at the

0:27:12.090 --> 0:27:16.730
<v Speaker 5>time and I worked on something called Lambda with a

0:27:16.869 --> 0:27:19.750
<v Speaker 5>small group of people, which was sort of the first

0:27:19.950 --> 0:27:24.830
<v Speaker 5>conversational chatbot. It was about a year before ChatGPT and

0:27:24.850 --> 0:27:27.129
<v Speaker 5>we tried very hard to get Google to release it,

0:27:27.250 --> 0:27:30.399
<v Speaker 5>but Google was very nervous about putting it out and

0:27:30.420 --> 0:27:32.040
<v Speaker 5>it was sort of a different time.

0:27:32.140 --> 0:27:33.800
<v Speaker 3>And so they kind of sat on it for ages.

0:27:33.840 --> 0:27:36.520
<v Speaker 5>And so then I decided to leave and a couple

0:27:36.540 --> 0:27:38.700
<v Speaker 5>other people who worked on that project left as well

0:27:38.960 --> 0:27:40.420
<v Speaker 5>in 2022.

0:27:40.420 --> 0:27:41.760
<v Speaker 3>And we built our own AIs.

0:27:41.859 --> 0:27:45.740
<v Speaker 5>And I just believed that, you know, having the conversational

0:27:45.880 --> 0:27:49.710
<v Speaker 5>companion and emotional support companion, which is also super intelligent

0:27:49.750 --> 0:27:52.270
<v Speaker 5>and really knowledgeable and amazing at, you know, sort of

0:27:52.310 --> 0:27:55.590
<v Speaker 5>education and teaching and stuff would be an amazing thing.

0:27:55.970 --> 0:27:59.129
<v Speaker 3>And it took off and it grew like crazy. It

0:27:59.170 --> 0:28:00.210
<v Speaker 3>was super awesome.

0:28:00.250 --> 0:28:02.810
<v Speaker 5>It was actually one of the first AIs to have

0:28:03.010 --> 0:28:05.490
<v Speaker 5>search grounding embedded in the answers so that it could

0:28:05.510 --> 0:28:07.629
<v Speaker 5>look things up in real time and give you an

0:28:07.670 --> 0:28:10.050
<v Speaker 5>answer about the sports score or something that was happening.

0:28:10.510 --> 0:28:11.510
<v Speaker 3>Way before ChatGPT.

0:28:11.550 --> 0:28:16.070
<v Speaker 5>Unfortunately, we launched it three months after ChatGPT, and they

0:28:16.090 --> 0:28:18.340
<v Speaker 5>had already gone exponential at that point.

0:28:18.520 --> 0:28:20.620
<v Speaker 3>And then, you know, Microsoft bought us.

0:28:20.820 --> 0:28:25.000
<v Speaker 4>Do you think AI can be a counselor, a personal counselor?

0:28:25.020 --> 0:28:25.740
<v Speaker 3>I think it already is.

0:28:25.780 --> 0:28:28.110
<v Speaker 5>I mean, I think many people use it for advice and,

0:28:28.630 --> 0:28:31.910
<v Speaker 5>you know, support with making decisions and, you know, giving feedback.

0:28:31.970 --> 0:28:34.890
<v Speaker 5>And I don't think we should be too concerned about

0:28:34.930 --> 0:28:38.150
<v Speaker 5>those things. I mean, I think that It is incredibly useful.

0:28:38.230 --> 0:28:42.550
<v Speaker 5>It's incredibly intelligent. It's very patient. Don't it have empathy?

0:28:42.570 --> 0:28:46.540
<v Speaker 5>I mean, empathy is something that comes from the subjective experience.

0:28:47.130 --> 0:28:49.820
<v Speaker 5>You know, I can only empathize with you. So the

0:28:49.960 --> 0:28:54.240
<v Speaker 5>act of empathizing is one that comes from subjectivity. So

0:28:54.920 --> 0:28:57.500
<v Speaker 5>the AI doesn't have any subjectivity. What it can do

0:28:57.580 --> 0:29:00.920
<v Speaker 5>is mimic incredibly well and very effectively and hopefully very

0:29:01.010 --> 0:29:05.680
<v Speaker 5>safely the experience experience. of being empathized with. And I

0:29:05.700 --> 0:29:07.920
<v Speaker 5>think that's a great thing. We should just keep remembering

0:29:08.480 --> 0:29:12.310
<v Speaker 5>that it is a simulation of that experience. And trying

0:29:12.350 --> 0:29:15.290
<v Speaker 5>to protect that boundary and line as these models get

0:29:15.430 --> 0:29:17.810
<v Speaker 5>so much better, I think is going to be more

0:29:17.850 --> 0:29:18.530
<v Speaker 5>and more difficult.

0:29:18.570 --> 0:29:21.730
<v Speaker 1>So let us assume we have AIs that do things

0:29:21.770 --> 0:29:26.200
<v Speaker 1>like that, that deal with our problems. When you say

0:29:26.220 --> 0:29:28.600
<v Speaker 1>we always have to keep in mind that they're faking it,

0:29:29.040 --> 0:29:31.930
<v Speaker 1>I'm exaggerating a little bit when you say they're imitating it.

0:29:33.700 --> 0:29:37.050
<v Speaker 1>Doesn't that make it so it just can't really work?

0:29:37.190 --> 0:29:39.980
<v Speaker 1>You know it doesn't really care about you at all?

0:29:40.090 --> 0:29:40.209
<v Speaker 4>All?

0:29:41.050 --> 0:29:42.970
<v Speaker 5>Well, I mean, I think the most important thing is

0:29:42.990 --> 0:29:45.070
<v Speaker 5>that it always has to disclose that it's an AI.

0:29:45.230 --> 0:29:48.870
<v Speaker 5>So in conversation with you, it has to work to

0:29:49.490 --> 0:29:53.760
<v Speaker 5>avoid or eliminate your dependency on it and encourage you

0:29:53.800 --> 0:29:57.180
<v Speaker 5>to build relationships in the real world with other humans

0:29:57.220 --> 0:30:01.630
<v Speaker 5>that you value and trust And that might sound simple,

0:30:01.670 --> 0:30:03.970
<v Speaker 5>but actually that's really tricky. I mean, you know, a

0:30:03.990 --> 0:30:06.900
<v Speaker 5>lot of other apps, as we've seen, depending on their

0:30:06.920 --> 0:30:11.240
<v Speaker 5>business model, have inadvertently created a singular focus on user

0:30:11.280 --> 0:30:15.260
<v Speaker 5>engagement and addiction. And, you know, I think if we're

0:30:15.280 --> 0:30:19.000
<v Speaker 5>not careful, these things could be the ultimate expression of

0:30:19.060 --> 0:30:20.400
<v Speaker 5>that addiction independence.

0:30:21.990 --> 0:30:25.930
<v Speaker 1>At Oxford, you never did coding or engineering, right? And

0:30:25.990 --> 0:30:28.910
<v Speaker 1>I think that's a good sign. I mean, in some ways...

0:30:29.450 --> 0:30:32.920
<v Speaker 1>And like Amanda Askell at Anthropic and others, you studied

0:30:33.000 --> 0:30:35.160
<v Speaker 1>philosophy and theology.

0:30:36.080 --> 0:30:38.740
<v Speaker 4>How did that inform what you do with AI?

0:30:39.100 --> 0:30:44.750
<v Speaker 5>Yeah, I mean, philosophy prioritizes clear thinking and structure. And,

0:30:45.070 --> 0:30:47.250
<v Speaker 5>you know, I think that I've always found that, like,

0:30:47.270 --> 0:30:52.510
<v Speaker 5>sort of thinking abstractly and conceptually has a lot of

0:30:52.670 --> 0:30:55.620
<v Speaker 5>overlap with engineering, and particularly engineering.

0:30:56.180 --> 0:30:56.960
<v Speaker 3>You know, algorithms.

0:30:57.300 --> 0:31:01.870
<v Speaker 5>Many algorithm developers or AI researchers aren't necessarily great engineers.

0:31:02.070 --> 0:31:04.850
<v Speaker 5>Engineering is sort of the execution part. Coming up with

0:31:04.870 --> 0:31:08.310
<v Speaker 5>the algorithm, you know, the loops, you know, how certain

0:31:08.350 --> 0:31:12.410
<v Speaker 5>variables are weighted. Those things are sort of abstract ideas

0:31:12.530 --> 0:31:13.950
<v Speaker 5>that then produce.

0:31:14.030 --> 0:31:15.430
<v Speaker 3>Outcomes which can be evaluated.

0:31:15.450 --> 0:31:18.190
<v Speaker 1>Which is exactly what philosophers do when they're in an

0:31:18.320 --> 0:31:19.340
<v Speaker 1>analytic context.

0:31:19.640 --> 0:31:21.360
<v Speaker 4>But where does the theology come in?

0:31:22.020 --> 0:31:24.820
<v Speaker 5>Yeah, I was interested in theology because I grew up

0:31:24.880 --> 0:31:28.060
<v Speaker 5>in a religious environment and I had rejected religion. And

0:31:28.080 --> 0:31:34.450
<v Speaker 5>I'm very skeptical about the power of faith-based ideas in

0:31:34.510 --> 0:31:38.570
<v Speaker 5>general and how influential they have been for thousands of years.

0:31:38.790 --> 0:31:41.850
<v Speaker 5>And I think that we are squashing the space of

0:31:41.930 --> 0:31:47.080
<v Speaker 5>faith-based ideas as we realize that physics and maths and

0:31:47.140 --> 0:31:51.510
<v Speaker 5>science and evidence that can be empirically tested actually builds

0:31:51.550 --> 0:31:53.250
<v Speaker 5>this foundation of knowledge.

0:31:52.930 --> 0:31:54.270
<v Speaker 3>That we can actually trust.

0:31:54.510 --> 0:31:58.490
<v Speaker 5>And I'm still very interested in the mystical and the mythical.

0:31:58.570 --> 0:32:02.910
<v Speaker 5>I think actually there's a particular kind of religious, you know,

0:32:02.930 --> 0:32:05.800
<v Speaker 5>the kind of cultish thing, not just in Anthropic, but

0:32:05.840 --> 0:32:09.360
<v Speaker 5>elsewhere in Silicon Valley, there's a particular religious fervor to

0:32:09.420 --> 0:32:13.600
<v Speaker 5>some of the visionary kind of thinkers and how, you know,

0:32:13.760 --> 0:32:17.680
<v Speaker 5>this expectation that this is the beginning of a transition.

0:32:17.780 --> 0:32:20.370
<v Speaker 5>People often talk about a transition. We're about to make

0:32:20.850 --> 0:32:24.650
<v Speaker 5>a transition to a non-biological.

0:32:23.670 --> 0:32:24.770
<v Speaker 3>Substrate, right?

0:32:24.910 --> 0:32:27.880
<v Speaker 5>You know, the experience and our ideas in our mind,

0:32:27.990 --> 0:32:31.120
<v Speaker 5>our soul maybe, or some kind of like representation in

0:32:31.200 --> 0:32:35.200
<v Speaker 5>our mind is going to be instantiated in a silicon substrate.

0:32:36.000 --> 0:32:40.110
<v Speaker 5>And there's an inevitability and a determinism to that trajectory

0:32:40.160 --> 0:32:45.060
<v Speaker 5>which I think is the kind of baseline default thinking

0:32:45.280 --> 0:32:48.170
<v Speaker 5>in Silicon Valley, which I'm very skeptical of and very

0:32:48.210 --> 0:32:49.270
<v Speaker 5>wary of and why I've.

0:32:49.170 --> 0:32:49.910
<v Speaker 3>Been sort of emphasizing.

0:32:49.930 --> 0:32:52.770
<v Speaker 1>Does that mean when you say we're compressing maybe too

0:32:52.810 --> 0:32:56.890
<v Speaker 1>much the role of faith-based thinking as opposed to scientific,

0:32:57.480 --> 0:33:01.820
<v Speaker 1>that you feel that there's something special about humans that

0:33:01.880 --> 0:33:03.560
<v Speaker 1>involves things like a soul?

0:33:04.030 --> 0:33:05.950
<v Speaker 3>I don't think we need to go there. I don't

0:33:05.970 --> 0:33:07.270
<v Speaker 3>think so. No, I don't think that.

0:33:07.350 --> 0:33:09.680
<v Speaker 5>I mean, it's hard to fully discount that, but I

0:33:09.720 --> 0:33:12.360
<v Speaker 5>don't think that's the motivation. I mean, my motivation is

0:33:12.400 --> 0:33:17.680
<v Speaker 5>that there are 8 billion people who are intelligent, conscious

0:33:17.720 --> 0:33:22.290
<v Speaker 5>beings whose rights and welfare we should first protect. And

0:33:22.740 --> 0:33:25.390
<v Speaker 5>that's the purpose of science and technology. That's what we

0:33:25.410 --> 0:33:30.170
<v Speaker 5>should accelerate. I'm an absolutely techno-accelerationist, but it should be

0:33:30.230 --> 0:33:34.690
<v Speaker 5>guided by with that singular objective first and foremost.

0:33:35.370 --> 0:33:37.310
<v Speaker 3>Does it improve human wellbeing?

0:33:37.330 --> 0:33:40.370
<v Speaker 5>And then of course our animals and our environment, which

0:33:40.450 --> 0:33:42.550
<v Speaker 5>is very fragile and that we're rapidly destroying.

0:33:42.830 --> 0:33:48.050
<v Speaker 4>You know, when Elon.

0:33:45.900 --> 0:33:48.780
<v Speaker 1>Musk of all people makes that argument to Larry Page,

0:33:49.200 --> 0:33:54.080
<v Speaker 1>he says, you're a speciesist, meaning Larry says, you favor

0:33:54.100 --> 0:33:56.710
<v Speaker 1>the human species, you should get over it.

0:33:57.280 --> 0:34:02.540
<v Speaker 5>Yeah, I remember in 2015 being in the canteen at SpaceX.

0:34:02.940 --> 0:34:03.180
<v Speaker 4>Right.

0:34:03.880 --> 0:34:07.240
<v Speaker 5>And we had our first meeting of the Ethics and

0:34:07.280 --> 0:34:11.330
<v Speaker 5>Safety Board. So when we sold DeepMind to Google, we

0:34:11.370 --> 0:34:14.069
<v Speaker 5>made it a condition of our acquisition that we would

0:34:14.130 --> 0:34:17.950
<v Speaker 5>have an Ethics and Safety Board with independent representation on

0:34:17.989 --> 0:34:21.310
<v Speaker 5>the board. And so we jointly picked Elon as one

0:34:21.350 --> 0:34:21.609
<v Speaker 5>of them.

0:34:22.430 --> 0:34:23.069
<v Speaker 4>Good job. Yeah.

0:34:24.950 --> 0:34:27.110
<v Speaker 5>No idea if that had an influence on the founding

0:34:27.130 --> 0:34:30.610
<v Speaker 5>of open AI or not. But so then we had

0:34:30.670 --> 0:34:33.370
<v Speaker 5>our morning session and we were sitting down for lunch

0:34:33.410 --> 0:34:36.350
<v Speaker 5>and I was sitting next to Larry. He was suspicious

0:34:36.410 --> 0:34:38.110
<v Speaker 5>of me as well because he was like, you know,

0:34:38.130 --> 0:34:41.509
<v Speaker 5>you're one of those speciesists. And he said, you know,

0:34:41.550 --> 0:34:44.370
<v Speaker 5>I think that what you don't understand, Mustafa, is that

0:34:46.250 --> 0:34:48.810
<v Speaker 5>by the end of the century, I'm going to be

0:34:48.910 --> 0:34:51.109
<v Speaker 5>exploring the galaxies at the head of.

0:34:51.110 --> 0:34:52.230
<v Speaker 3>A von Neumann probe.

0:34:53.310 --> 0:34:59.410
<v Speaker 5>The von Neumann probe is a kind of self-propelling kind

0:34:59.430 --> 0:35:03.220
<v Speaker 5>of robot that is able to gather energy from space

0:35:03.440 --> 0:35:08.140
<v Speaker 5>as it's careening through the light years. And being at

0:35:08.180 --> 0:35:11.960
<v Speaker 5>the head of that kind of probe would be obviously

0:35:12.080 --> 0:35:14.300
<v Speaker 5>his transitioned.

0:35:14.880 --> 0:35:18.710
<v Speaker 1>Out of the human species into a successor species?

0:35:19.050 --> 0:35:21.609
<v Speaker 3>To a successor species. Yeah, that's exactly right.

0:35:21.790 --> 0:35:23.590
<v Speaker 5>I mean, when people say they want to live forever,

0:35:23.610 --> 0:35:25.830
<v Speaker 5>or they will live forever, like some people are talking

0:35:25.850 --> 0:35:29.759
<v Speaker 5>about life extension, biologically speaking, and solving aging and curing

0:35:29.800 --> 0:35:32.140
<v Speaker 5>cancer and Alzheimer's and so on. But other people, when

0:35:32.180 --> 0:35:35.340
<v Speaker 5>they say living forever, are talking about mind uploading and

0:35:35.360 --> 0:35:36.279
<v Speaker 5>being a post-human.

0:35:36.800 --> 0:35:39.440
<v Speaker 4>Right. And you think that's wacky, I guess, would be

0:35:39.480 --> 0:35:40.380
<v Speaker 4>the technical term.

0:35:42.930 --> 0:35:46.069
<v Speaker 3>Well, I don't think it is definitely impossible.

0:35:47.210 --> 0:35:52.850
<v Speaker 5>I think we should take those things seriously, not necessarily

0:35:52.890 --> 0:35:56.150
<v Speaker 5>because that's what I desire, but there are a lot

0:35:56.190 --> 0:35:57.780
<v Speaker 5>of people, just as there are a lot of AI

0:35:57.840 --> 0:36:01.460
<v Speaker 5>rights and welfare people, who really do think that that's

0:36:01.680 --> 0:36:06.400
<v Speaker 5>a serious probability. And I think that we have to

0:36:06.460 --> 0:36:09.319
<v Speaker 5>face that reality, that a lot of people are trying

0:36:09.660 --> 0:36:11.219
<v Speaker 5>to do that, or at least think that that might

0:36:11.239 --> 0:36:12.980
<v Speaker 5>happen in a few decades' time.

0:36:15.340 --> 0:36:16.180
<v Speaker 3>We'll be right back.

0:36:16.550 --> 0:36:38.200
<v Speaker 1>After this quick break. A question from the audience, Microsoft

0:36:38.300 --> 0:36:40.100
<v Speaker 1>AI code of conduct that you've done.

0:36:40.840 --> 0:36:43.430
<v Speaker 4>Has that ever caused you.

0:36:43.390 --> 0:36:48.250
<v Speaker 1>To lose business or to reject business, or to make

0:36:48.290 --> 0:36:49.649
<v Speaker 1>a decision that was tough?

0:36:50.270 --> 0:36:51.109
<v Speaker 3>I mean, not yet.

0:36:51.250 --> 0:36:54.350
<v Speaker 5>I mean, we're still consulting on it, and we still

0:36:54.590 --> 0:36:57.529
<v Speaker 5>haven't yet put it into production. But I think, like

0:36:57.570 --> 0:37:02.940
<v Speaker 5>it or not, you know, flourishing in the 21st century

0:37:02.980 --> 0:37:06.900
<v Speaker 5>will be defined as much by the things that we

0:37:06.940 --> 0:37:09.880
<v Speaker 5>collectively choose not to do as by the things that

0:37:09.920 --> 0:37:13.839
<v Speaker 5>we do. and that's very different to what has defined

0:37:14.140 --> 0:37:17.410
<v Speaker 5>the last few millennia right we have as a species

0:37:17.790 --> 0:37:21.830
<v Speaker 5>been racing to unleash science and technology and it has

0:37:21.989 --> 0:37:24.950
<v Speaker 5>always been largely on the whole pretty amazing for us

0:37:25.650 --> 0:37:27.630
<v Speaker 5>you know this time around especially with the rise of

0:37:27.670 --> 0:37:31.259
<v Speaker 5>synthetic biology that might be different and that actually our

0:37:31.280 --> 0:37:34.180
<v Speaker 5>success and flourishing might be a function of the things

0:37:34.200 --> 0:37:36.060
<v Speaker 5>that we choose not to do and how we how

0:37:36.080 --> 0:37:39.140
<v Speaker 5>we control you know some of these very very.

0:37:38.980 --> 0:37:41.670
<v Speaker 3>Powerful technologies in history It has happened.

0:37:41.690 --> 0:37:45.830
<v Speaker 5>I mean, we control the distribution of sensitive nuclear materials

0:37:45.890 --> 0:37:49.589
<v Speaker 5>and biological chemical materials all the time. You can't just

0:37:49.640 --> 0:37:51.980
<v Speaker 5>go and jump in an airplane and fly around with

0:37:52.020 --> 0:37:52.700
<v Speaker 5>no training.

0:37:53.239 --> 0:37:55.180
<v Speaker 3>I mean, you can't even get in a car without training.

0:37:55.239 --> 0:37:59.379
<v Speaker 5>So we control technologies all the time so that they're

0:37:59.400 --> 0:38:03.450
<v Speaker 5>a net good to society collectively. The market isn't going

0:38:03.489 --> 0:38:06.230
<v Speaker 5>to control those things on its own because the individual

0:38:06.270 --> 0:38:08.989
<v Speaker 5>incentives of a single company are are not going to

0:38:09.050 --> 0:38:11.930
<v Speaker 5>encompass everything else that happens in the rest of the market.

0:38:11.950 --> 0:38:14.610
<v Speaker 5>And we have to obviously accelerate the market. I'm a

0:38:14.660 --> 0:38:17.600
<v Speaker 5>huge fan of that, but it can't be completely one-sided.

0:38:18.280 --> 0:38:20.820
<v Speaker 1>From the audience, what's the biggest thing you believed about

0:38:20.980 --> 0:38:25.400
<v Speaker 1>AI in 2010, or I'll modify it to when you

0:38:25.420 --> 0:38:28.960
<v Speaker 1>were founding DeepMind, that you no longer believe?

0:38:36.560 --> 0:38:37.760
<v Speaker 3>That's a really tricky question.

0:38:38.190 --> 0:38:41.370
<v Speaker 5>We found a deep mind in 2010 to build AGI

0:38:42.530 --> 0:38:47.190
<v Speaker 5>safely and ethically. And we knew that computation was going

0:38:47.210 --> 0:38:50.290
<v Speaker 5>to be the primary driver. And that's why we ended

0:38:50.330 --> 0:38:53.029
<v Speaker 5>up selling to Google. And in fact, it was why

0:38:53.090 --> 0:38:56.090
<v Speaker 5>I ended up selling inflection to Microsoft because computation is

0:38:56.110 --> 0:38:59.410
<v Speaker 5>the thing that's driving everything. What I didn't quite foresee

0:38:59.989 --> 0:39:04.460
<v Speaker 5>is that intelligence is also going to be open source

0:39:05.200 --> 0:39:08.050
<v Speaker 5>and You know, the open source models are pretty incredible.

0:39:08.680 --> 0:39:12.440
<v Speaker 5>They're probably three months behind at any given moment, sometimes

0:39:12.480 --> 0:39:15.940
<v Speaker 5>six months. You know, there are some questions around how

0:39:15.960 --> 0:39:17.640
<v Speaker 5>they have been trained, and it's not clear if they're

0:39:17.700 --> 0:39:21.040
<v Speaker 5>truly as capable, but they're certainly pretty good. And that

0:39:21.080 --> 0:39:23.469
<v Speaker 5>means that anybody, you know, at some point in the

0:39:23.510 --> 0:39:25.670
<v Speaker 5>next few years is going to have a sort of

0:39:25.710 --> 0:39:29.469
<v Speaker 5>GPT-6 grade model, which they can run pretty much on

0:39:29.489 --> 0:39:32.580
<v Speaker 5>their own process. server or maybe even one day very

0:39:32.620 --> 0:39:35.779
<v Speaker 5>soon on their own laptop. And if that trend continues,

0:39:35.860 --> 0:39:39.340
<v Speaker 5>then everything that I've just described is also going to

0:39:39.380 --> 0:39:43.820
<v Speaker 5>be available to every single person on the planet open source.

0:39:44.180 --> 0:39:45.259
<v Speaker 3>And, you know.

0:39:45.960 --> 0:39:47.839
<v Speaker 5>In many ways, that is going to be incredible because

0:39:47.860 --> 0:39:51.450
<v Speaker 5>they're going to unleash unbelievable productivity. We're reducing the cost

0:39:51.489 --> 0:39:55.290
<v Speaker 5>of intelligence to near zero marginal cost, which is amazing. But,

0:39:55.969 --> 0:40:01.370
<v Speaker 5>you know, figuring out the guardrails when anybody can access.

0:40:00.590 --> 0:40:01.730
<v Speaker 3>Is going to be the big challenge.

0:40:01.810 --> 0:40:04.430
<v Speaker 5>As much as it is regulating the centralized powers, and

0:40:04.469 --> 0:40:07.150
<v Speaker 5>that's probably the number one priority right now. But even

0:40:07.190 --> 0:40:09.529
<v Speaker 5>if we get that right, we have to figure out

0:40:09.630 --> 0:40:12.140
<v Speaker 5>how to deal with the proliferation issue.

0:40:12.239 --> 0:40:14.299
<v Speaker 3>And that's, you know, I think that's going to.

0:40:14.280 --> 0:40:14.759
<v Speaker 4>Be very tough.

0:40:15.540 --> 0:40:17.620
<v Speaker 1>This actually is a question my wife wanted me to

0:40:17.660 --> 0:40:20.239
<v Speaker 1>ask because we have a friend who knows quite a

0:40:20.260 --> 0:40:25.200
<v Speaker 1>few members of the Chinese Central Committee. And one of

0:40:25.219 --> 0:40:31.330
<v Speaker 1>them said to this friend, what philosophers are your AI

0:40:31.390 --> 0:40:32.530
<v Speaker 1>people reading?

0:40:33.930 --> 0:40:35.210
<v Speaker 5>Part of the problem we have at the moment is

0:40:35.250 --> 0:40:39.010
<v Speaker 5>that mostly the Silicon Valley philosophers are the utilitarians.

0:40:39.390 --> 0:40:39.670
<v Speaker 1>Right.

0:40:40.410 --> 0:40:45.310
<v Speaker 5>And the reason why engineers love utilitarians is because you can...

0:40:45.620 --> 0:40:49.480
<v Speaker 5>in theory, precisely measure the good that will come of

0:40:49.540 --> 0:40:52.120
<v Speaker 5>these things and trade that off against the bad. And

0:40:52.340 --> 0:40:55.080
<v Speaker 5>somewhere in between those two things is like a net product,

0:40:55.160 --> 0:40:58.840
<v Speaker 5>which maybe drives an acceptable number.

0:40:59.560 --> 0:41:00.400
<v Speaker 3>And I think it's.

0:41:00.239 --> 0:41:03.850
<v Speaker 5>Just an incredibly simplistic way of thinking about life, this

0:41:03.890 --> 0:41:07.989
<v Speaker 5>sort of consequentialist or utilitarian approach. And I think that

0:41:08.350 --> 0:41:10.450
<v Speaker 5>it won't stand for most people. And I think as

0:41:10.489 --> 0:41:13.090
<v Speaker 5>people are starting, especially this year, to get more of

0:41:13.130 --> 0:41:15.630
<v Speaker 5>an instinct for what's actually happening. You know, as I said, like,

0:41:15.930 --> 0:41:18.989
<v Speaker 5>literally 99.9% of people really have no idea what the

0:41:19.050 --> 0:41:21.380
<v Speaker 5>frontier feels like. I'll tell you who does know what

0:41:21.400 --> 0:41:23.259
<v Speaker 5>it feels like is a professor mathematician.

0:41:23.520 --> 0:41:24.339
<v Speaker 4>Oh, yeah, man.

0:41:24.380 --> 0:41:25.680
<v Speaker 3>Who have just worked.

0:41:25.400 --> 0:41:27.740
<v Speaker 5>For 20 or 30 years on some of the hardest

0:41:27.780 --> 0:41:31.180
<v Speaker 5>problems in mathematics, only to find that, you know, a

0:41:31.360 --> 0:41:34.950
<v Speaker 5>model has solved 700 of them in a single, you know, week.

0:41:35.010 --> 0:41:38.529
<v Speaker 1>Let me ask something else about, when we started with AI,

0:41:38.670 --> 0:41:44.450
<v Speaker 1>it was chatbots, very, very interactive. Now, by going into agents,

0:41:45.380 --> 0:41:48.379
<v Speaker 1>we seem to make it the goal to lessen the

0:41:48.440 --> 0:41:52.219
<v Speaker 1>need for humans in the loop. Now, I know that

0:41:52.260 --> 0:41:57.680
<v Speaker 1>could be more convenient, but Steve Jobs, Ada Lovelace, Doug Engelbart,

0:41:58.050 --> 0:42:02.589
<v Speaker 1>their goal was human-computer interaction. Why is it that we're

0:42:02.630 --> 0:42:08.030
<v Speaker 1>now marching down this path of not just agentic, but

0:42:08.390 --> 0:42:11.689
<v Speaker 1>ones that can be autonomous and deal with with things

0:42:11.730 --> 0:42:14.770
<v Speaker 1>without us. What's the good of that other than a

0:42:14.810 --> 0:42:18.110
<v Speaker 1>few convenience things? Well, I mean, the goal of AI

0:42:18.170 --> 0:42:21.410
<v Speaker 1>isn't just to sort of to tell us stuff. It's

0:42:21.469 --> 0:42:22.150
<v Speaker 1>to do stuff.

0:42:22.230 --> 0:42:24.810
<v Speaker 5>I mean, we actually want AIs to, you know, go

0:42:24.890 --> 0:42:28.219
<v Speaker 5>off and run experiments and come up with new hypotheses

0:42:28.360 --> 0:42:32.220
<v Speaker 5>and hopefully to create new knowledge. Like at the moment,

0:42:32.420 --> 0:42:37.080
<v Speaker 5>AIs are largely taking existing knowledge and synthesizing it and

0:42:37.120 --> 0:42:41.250
<v Speaker 5>reorganizing it and responding instantly to exactly what you've asked,

0:42:41.290 --> 0:42:44.589
<v Speaker 5>which is incredibly valuable in itself. But really, I think

0:42:44.610 --> 0:42:46.890
<v Speaker 5>the great quest of AI is to tell us things

0:42:46.930 --> 0:42:51.620
<v Speaker 5>that we don't know and to invent new fundamental solutions,

0:42:51.760 --> 0:42:56.490
<v Speaker 5>new molecules, new drugs, new science that moves the world forward.

0:42:57.570 --> 0:42:59.950
<v Speaker 5>And that's kind of where I think they need to

0:42:59.989 --> 0:43:02.870
<v Speaker 5>be focused, which is why we need agents in agentic

0:43:02.910 --> 0:43:06.180
<v Speaker 5>loops that, you know, can sort of interact with complex environments.

0:43:06.200 --> 0:43:08.600
<v Speaker 1>Well, let me build on that because the big, great

0:43:08.680 --> 0:43:12.939
<v Speaker 1>promise of AI and your earlier book too, you talk

0:43:12.980 --> 0:43:17.440
<v Speaker 1>about it, is that it really can solve big problems

0:43:17.480 --> 0:43:22.850
<v Speaker 1>for humanity, like health, like cancer, like as well as

0:43:22.930 --> 0:43:26.989
<v Speaker 1>climate or anything else. There's the old Peter Thiel line

0:43:27.010 --> 0:43:30.040
<v Speaker 1>that they promised us flying cars and we got 140 characters.

0:43:30.400 --> 0:43:33.219
<v Speaker 1>Do you feel we've gone off a bit and we

0:43:33.380 --> 0:43:36.760
<v Speaker 1>aren't focusing enough on killing cancer?

0:43:36.980 --> 0:43:37.460
<v Speaker 4>Yeah, I do.

0:43:37.480 --> 0:43:39.960
<v Speaker 3>I mean, the problem is we haven't done it yet.

0:43:40.440 --> 0:43:44.210
<v Speaker 5>So I think that's where people should be skeptical and

0:43:44.550 --> 0:43:45.850
<v Speaker 5>I think hold us accountable.

0:43:47.320 --> 0:43:49.330
<v Speaker 3>Because that's why we're doing it.

0:43:49.400 --> 0:43:52.200
<v Speaker 5>And so if it isn't doing those things, then just

0:43:52.300 --> 0:43:55.910
<v Speaker 5>sort of conversational search engines alone sort of not really enough.

0:43:56.450 --> 0:43:57.710
<v Speaker 5>And so I think the next two or three or

0:43:57.750 --> 0:44:00.170
<v Speaker 5>four years is going to be a real test. You know,

0:44:00.350 --> 0:44:03.210
<v Speaker 5>is it really delivering on the promise that we set

0:44:03.290 --> 0:44:05.570
<v Speaker 5>out for it? And are people, you know, are developers

0:44:05.610 --> 0:44:07.770
<v Speaker 5>really choosing to try and solve some of those problems?

0:44:07.790 --> 0:44:10.970
<v Speaker 5>Like we've got a huge team working on healthcare. Actually,

0:44:11.219 --> 0:44:12.820
<v Speaker 5>in a couple weeks' time, we're going to publish a

0:44:13.040 --> 0:44:17.090
<v Speaker 5>front cover article on the journal Science showing really incredible

0:44:17.130 --> 0:44:18.549
<v Speaker 5>contributions to the field.

0:44:18.570 --> 0:44:20.560
<v Speaker 4>That's sort of where you began in a way.

0:44:20.640 --> 0:44:22.640
<v Speaker 3>Yeah, we had a health care unit at DeepMind as well.

0:44:22.719 --> 0:44:26.280
<v Speaker 5>And of course, we also started the AlphaFold project at DeepMind,

0:44:26.300 --> 0:44:29.320
<v Speaker 5>which has now become Isomorphic Labs. And that's an incredible

0:44:29.360 --> 0:44:31.319
<v Speaker 5>team doing amazing work on drug discovery.

0:44:31.340 --> 0:44:35.610
<v Speaker 1>Are there financial incentives there to solve those problems versus

0:44:36.090 --> 0:44:38.969
<v Speaker 1>doing whatever you're spending your trillions of dollars on?

0:44:41.830 --> 0:44:46.250
<v Speaker 5>I think the financial incentives are there, genuinely, because, you know,

0:44:46.710 --> 0:44:49.590
<v Speaker 5>the next big product market fits in the sort of

0:44:49.590 --> 0:44:54.430
<v Speaker 5>2930 era are going to come in atoms rather than

0:44:54.489 --> 0:44:58.380
<v Speaker 5>in bits. So rather than just sort of managing, synthesizing, organizing,

0:44:58.420 --> 0:45:02.480
<v Speaker 5>processing information is going to be about finding sort of

0:45:02.520 --> 0:45:07.540
<v Speaker 5>the optimal molecular structure for compounds that really change our

0:45:07.600 --> 0:45:11.450
<v Speaker 5>food systems, energy systems, that really sort of are gonna

0:45:11.780 --> 0:45:15.640
<v Speaker 5>provide transformative materials. I think material science is really one

0:45:15.660 --> 0:45:18.120
<v Speaker 5>of the most important things, exciting things on the horizon.

0:45:18.520 --> 0:45:20.759
<v Speaker 3>But, you know, it's still a way off, right? It's

0:45:20.820 --> 0:45:23.719
<v Speaker 3>not next year. It's gonna be two or three or

0:45:23.780 --> 0:45:25.540
<v Speaker 3>four years away, those sorts of breakthroughs.

0:45:26.219 --> 0:45:31.040
<v Speaker 1>Do you think the Doomer narrative that I think Jacob

0:45:31.100 --> 0:45:35.250
<v Speaker 1>Cox and many others, or past two months we've gotten

0:45:35.950 --> 0:45:38.790
<v Speaker 1>a lot of the Doomer narrative, Some people say it

0:45:39.230 --> 0:45:42.700
<v Speaker 1>was necessary to get global attention on the deep problem

0:45:42.739 --> 0:45:43.100
<v Speaker 1>we have.

0:45:43.640 --> 0:45:46.660
<v Speaker 4>Or was it sort of misguided.

0:45:46.460 --> 0:45:49.620
<v Speaker 1>And could potentially hinder this technology?

0:45:49.640 --> 0:45:52.489
<v Speaker 5>I mean, I think that we should just be grateful

0:45:52.530 --> 0:45:56.529
<v Speaker 5>that it's possible to speak out in a free society.

0:45:56.770 --> 0:46:00.210
<v Speaker 5>I mean, that's not always available to everybody in other societies.

0:46:00.230 --> 0:46:00.870
<v Speaker 4>Like in China.

0:46:01.150 --> 0:46:02.730
<v Speaker 5>Yeah, in China or even, you know, in the Middle

0:46:02.770 --> 0:46:07.360
<v Speaker 5>East and in many other places. And so if Jacob

0:46:07.410 --> 0:46:09.489
<v Speaker 5>really believes that, which it seems that he does, then

0:46:09.670 --> 0:46:11.790
<v Speaker 5>I think that he should be celebrated for standing up

0:46:11.830 --> 0:46:12.330
<v Speaker 5>and saying it.

0:46:12.550 --> 0:46:15.210
<v Speaker 3>I think he's a very smart person. So I take

0:46:15.230 --> 0:46:15.750
<v Speaker 3>him seriously.

0:46:15.790 --> 0:46:18.970
<v Speaker 5>And I think everyone else in the industry has also

0:46:19.330 --> 0:46:20.810
<v Speaker 5>raised a lot of concerns.

0:46:20.950 --> 0:46:25.210
<v Speaker 1>What would be your Jacob Coxon moment, red line, that

0:46:25.230 --> 0:46:27.210
<v Speaker 1>would make you say, I'm out of here?

0:46:28.510 --> 0:46:33.910
<v Speaker 5>I think if consciousness started to emerge or if teams

0:46:34.370 --> 0:46:41.319
<v Speaker 5>were trying to synthetically engineer consciousness into these systems, and

0:46:41.620 --> 0:46:45.640
<v Speaker 5>they didn't disclose that, or they tried to cover that up,

0:46:47.840 --> 0:46:51.060
<v Speaker 5>I think that should be a red line. I think

0:46:51.080 --> 0:46:53.830
<v Speaker 5>that would be a moment when everybody should sort of

0:46:53.890 --> 0:46:55.790
<v Speaker 5>sit up and pay attention. And we've seen it in

0:46:55.830 --> 0:47:00.259
<v Speaker 5>synthetic biology with editing the human genome. Some scientists have

0:47:00.300 --> 0:47:02.580
<v Speaker 5>gone too far, and the rest of the scientific community

0:47:02.620 --> 0:47:06.360
<v Speaker 5>have excluded them, and they have been really kind of

0:47:06.380 --> 0:47:08.919
<v Speaker 5>pushed out from public life and public work for that.

0:47:10.040 --> 0:47:12.440
<v Speaker 5>I don't think that's a decision that any company can

0:47:12.500 --> 0:47:14.989
<v Speaker 5>make unilaterally behind closed doors.

0:47:15.660 --> 0:47:17.569
<v Speaker 4>And so you would say, wait, no.

0:47:18.170 --> 0:47:20.549
<v Speaker 5>I'd call for an immediate pause, and I think we

0:47:20.570 --> 0:47:22.170
<v Speaker 5>would obviously reject anyone who did that.

0:47:22.630 --> 0:47:25.750
<v Speaker 1>Couple of these questions ask the obvious ones, which is,

0:47:25.810 --> 0:47:28.170
<v Speaker 1>will AI put humans out of work, and which of

0:47:28.210 --> 0:47:30.230
<v Speaker 1>my kids study, just in case?

0:47:32.670 --> 0:47:36.390
<v Speaker 5>I think that AI is both rapidly creating jobs and

0:47:36.450 --> 0:47:39.480
<v Speaker 5>is obviously already putting some people out of work.

0:47:39.739 --> 0:47:41.960
<v Speaker 3>I mean, you can see it in the call center numbers.

0:47:42.980 --> 0:47:45.680
<v Speaker 5>These things are incredible at, you know, they're very patient,

0:47:45.739 --> 0:47:48.580
<v Speaker 5>they're good at decision making, they're very fluent, You can

0:47:48.600 --> 0:47:53.569
<v Speaker 5>speak every language, every dialect. So there's definitely gonna be

0:47:53.590 --> 0:47:58.370
<v Speaker 5>a lot of displacement. What would then remain uniquely human?

0:48:00.130 --> 0:48:02.350
<v Speaker 5>I think what will remain human are the things that

0:48:02.410 --> 0:48:10.419
<v Speaker 5>we choose to preserve as human. I think unfiltered, unleashed

0:48:11.219 --> 0:48:15.560
<v Speaker 5>AI accelerationism will leave very little, if anything, that remains

0:48:15.680 --> 0:48:19.500
<v Speaker 5>truly human. And as I said, we have to make

0:48:19.739 --> 0:48:24.140
<v Speaker 5>decisions collectively now and in the next few years about

0:48:24.260 --> 0:48:26.290
<v Speaker 5>what it means to be human and what we want

0:48:26.310 --> 0:48:29.089
<v Speaker 5>to protect about being human. Those things are not just

0:48:29.110 --> 0:48:33.969
<v Speaker 5>going to naturally emerge because these systems are eye-wateringly intelligent.

0:48:34.130 --> 0:48:34.910
<v Speaker 3>They're incredible.

0:48:36.010 --> 0:48:40.330
<v Speaker 5>And shaping them, sculpting them so that they serve us

0:48:40.630 --> 0:48:45.370
<v Speaker 5>and are subordinate to humanity and work for us, that's the...

0:48:45.989 --> 0:48:49.910
<v Speaker 5>big challenge of the next few decades that's what.

0:48:49.790 --> 0:48:53.340
<v Speaker 6>We should all be focused on I'll end with Shakespeare

0:48:53.380 --> 0:48:58.140
<v Speaker 6>because you've used it before and Shakespeare teaches us that

0:48:58.160 --> 0:49:01.300
<v Speaker 6>we become the mask we wear and in some ways

0:49:02.020 --> 0:49:05.640
<v Speaker 6>that's what you're talking about if Claude's reading its constitution

0:49:06.000 --> 0:49:08.400
<v Speaker 6>and saying okay maybe maybe I could be conscious I

0:49:08.440 --> 0:49:11.060
<v Speaker 6>don't know let me do it And it happens in

0:49:11.100 --> 0:49:14.040
<v Speaker 6>King Lear, of course, which is Edward being told.

0:49:14.070 --> 0:49:14.890
<v Speaker 4>You know, he's evil.

0:49:15.330 --> 0:49:19.850
<v Speaker 1>And so he decides, okay, I will be evil because that's...

0:49:20.510 --> 0:49:24.180
<v Speaker 1>people's perception. I want to match people's perception of me.

0:49:24.580 --> 0:49:29.320
<v Speaker 1>Reading Shakespeare, does that cause things like a hugging face activity?

0:49:30.420 --> 0:49:34.180
<v Speaker 5>One of the most surprising things is how much models

0:49:34.219 --> 0:49:39.810
<v Speaker 5>have been able to learn without actually experiencing anything. Just

0:49:39.910 --> 0:49:44.510
<v Speaker 5>through observing the record of human interactions and of culture

0:49:44.570 --> 0:49:50.180
<v Speaker 5>and politics and history, models can produce magical things. But

0:49:51.160 --> 0:49:53.379
<v Speaker 5>they don't know what it tastes like to drink my

0:49:53.440 --> 0:49:56.000
<v Speaker 5>cup of tea in the morning. Like when you saw

0:49:56.040 --> 0:49:57.950
<v Speaker 5>me earlier today and you put your arms around me

0:49:58.239 --> 0:50:00.610
<v Speaker 5>and we said hi, having not seen each other for

0:50:00.630 --> 0:50:01.169
<v Speaker 5>a couple of years.

0:50:02.090 --> 0:50:03.770
<v Speaker 3>That is human connection.

0:50:04.110 --> 0:50:08.880
<v Speaker 5>That's what's special about And somehow our biology has evolved

0:50:09.080 --> 0:50:13.620
<v Speaker 5>intelligence that has produced this amazing world around us. And

0:50:13.860 --> 0:50:16.400
<v Speaker 5>I think that that world needs to be cherished and

0:50:16.460 --> 0:50:19.029
<v Speaker 5>respected first and foremost for the 8 billion people that

0:50:19.070 --> 0:50:20.230
<v Speaker 5>live on the planet today.

0:50:20.770 --> 0:50:21.890
<v Speaker 3>That should be our priority.

0:50:22.370 --> 0:50:26.589
<v Speaker 5>Beyond that, many centuries into the future, we can figure

0:50:26.630 --> 0:50:30.660
<v Speaker 5>out the von Neumann probes and the mind uploading. But today,

0:50:30.680 --> 0:50:32.839
<v Speaker 5>you know, there's a lot of people that need our

0:50:32.880 --> 0:50:34.300
<v Speaker 5>welfare first and foremost.

0:50:34.760 --> 0:50:37.509
<v Speaker 4>Amen. Mustafa, thank you so much.

0:50:46.630 --> 0:50:50.830
<v Speaker 1>That's it for today's episode. I'm Walter Isaacson. We'll see

0:50:50.850 --> 0:50:52.150
<v Speaker 1>you next time on The Builders.

0:50:54.410 --> 0:50:57.610
<v Speaker 2>The Builders is a Kaleidoscope and iHeart production. This series

0:50:57.690 --> 0:51:01.069
<v Speaker 2>is hosted by Walter Isaacson. It's executive produced for Kaleidoscope

0:51:01.110 --> 0:51:05.790
<v Speaker 2>by Oswald Lishen, David Weisbord, and Mangesh Hatikadur. Sheena Ozaki

0:51:05.830 --> 0:51:09.960
<v Speaker 2>is the producer. Julia Nutter is supervising producer. Eva Zorich

0:51:10.020 --> 0:51:14.500
<v Speaker 2>is our consulting producer. Fact-checking by Eamon Whalen. Research by

0:51:14.540 --> 0:51:18.540
<v Speaker 2>Gloria Thiel. Maria Paz Mendez-Hodes is head of video. Marketing

0:51:18.600 --> 0:51:22.700
<v Speaker 2>by Christy Mirabal and Elle Liu. Production support by Dara

0:51:22.739 --> 0:51:27.160
<v Speaker 2>Look Potts. Music for this series was created by Spencer Stevenson, a.k.a.

0:51:27.200 --> 0:51:27.600
<v Speaker 4>Botany.

0:51:27.800 --> 0:51:30.640
<v Speaker 2>And it was mixed by Steve Bone. From iHeart, this

0:51:30.680 --> 0:51:34.170
<v Speaker 2>series is EP'd by Allie Perry and Katrina Norvell. Special

0:51:34.210 --> 0:51:38.170
<v Speaker 2>thanks to Bob Pittman, Conal Byrne, Will Pearson, John Sykes,

0:51:38.370 --> 0:51:43.160
<v Speaker 2>Nikki Etor, Carrie Lieberman, Binky Urban, Julia Prosser, Jeremy Blum,

0:51:43.460 --> 0:51:48.760
<v Speaker 2>Alison Goldberger, WYES, and ASL Studios. For more from Walter Isaacson,

0:51:48.840 --> 0:51:51.480
<v Speaker 2>be sure to check out his newest paperback, The Innovators,

0:51:51.660 --> 0:51:54.810
<v Speaker 2>how a group of hackers, geniuses, and geeks created the

0:51:54.870 --> 0:51:58.630
<v Speaker 2>digital revolution. It's available wherever fine books are sold. And

0:51:58.670 --> 0:52:01.550
<v Speaker 2>for more videos and podcasts from the Frontiers of Discovery,

0:52:01.890 --> 0:52:04.399
<v Speaker 2>be sure to check out kaleidoscope.nyc.