WEBVTT - Mustafa Suleyman Isn’t Like Everyone Else in Silicon Valley

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>At some point over the next twenty or thirty years,

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<v Speaker 2>machines are going to be more capable than humans are

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<v Speaker 2>doing most work, and so we have to decide as

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<v Speaker 2>a society what our purpose is.

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<v Speaker 1>What's the first solemn? The AI founder who is now

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<v Speaker 1>at the forefront of a global race.

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<v Speaker 2>Getting the balance right is very important. We have to

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<v Speaker 2>deliver in the next few years. We're taking a huge

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<v Speaker 2>bet that we're going to be able to convert this

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<v Speaker 2>into true intelligence, and if we do, then I think

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<v Speaker 2>the world is going to look very, very different.

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<v Speaker 3>We will have abundant intelligence. On tap.

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<v Speaker 1>From Bloomberg Weekend. This is the Michelle Hussein Show. I'm

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<v Speaker 1>Michelle Hussein. Back in twenty sixteen, a computer beat a

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<v Speaker 1>world champion in the ancient game Go. You might remember

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<v Speaker 1>it because it certainly made the news of the time.

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<v Speaker 1>It was a huge milestone artificial intelligence, which few of

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<v Speaker 1>us had ever really heard about, was uncovering strategies that

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<v Speaker 1>hadn't been seen over centuries of human players. One of

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<v Speaker 1>those who made it happen at the startup Deep Mind,

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<v Speaker 1>is now leading AI for Microsoft, but Mustapha Suleiman is

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<v Speaker 1>an unusual figure in big tech. He's British for starters,

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<v Speaker 1>He's interested in technology and public services. He used to

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<v Speaker 1>work in local government in the UK. He's seen climate

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<v Speaker 1>talks up close from the inside. Today though his work

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<v Speaker 1>is at the heart of an AI arms race, the

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<v Speaker 1>big names spending huge sums and making all sorts of

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<v Speaker 1>promises on what it can do and when, which is

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<v Speaker 1>why I'd say he's really worth a listen, not only

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<v Speaker 1>to understand what's happening right now in this crucial field,

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<v Speaker 1>but also to understand one of its most influential players.

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<v Speaker 1>So here's my conversation with mustafas Leman, starting with his

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<v Speaker 1>own everyday use of AI.

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<v Speaker 2>Yesterday night, I stayed up far too late watching a film,

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<v Speaker 2>and afterwards I added to a table that I've made

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<v Speaker 2>in co pilot, which basically records all the films that

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<v Speaker 2>I love, films that I want to watch, lists them

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<v Speaker 2>by date, describes what they were about. I add my

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<v Speaker 2>personal notes to it, gives me a link to the

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<v Speaker 2>film poster, and I can keep just saying, okay, to

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<v Speaker 2>add this film that I want to watch, what would

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<v Speaker 2>be a similar one that I want to watch?

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<v Speaker 3>So, just like you might ask.

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<v Speaker 2>An assistant to organize your life, and I think that

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<v Speaker 2>people will be surprised. The more obscure, the more creative,

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<v Speaker 2>the more challenging you think the task is that you're

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<v Speaker 2>going to ask your AI or co pilot, the better.

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<v Speaker 1>But have you used it to do autonomous tasks? So,

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<v Speaker 1>for example, has it booked tickets for you or bought

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<v Speaker 1>a gift for you? Because I know this is one

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<v Speaker 1>of the promises of co pilot, It's just not available

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<v Speaker 1>in my region, so I haven't been able to try

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<v Speaker 1>it out for myself yet.

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<v Speaker 3>We're still experimenting with it.

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<v Speaker 2>It can do it, it doesn't always get it right,

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<v Speaker 2>so it's in like a sort of dev mode, so

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<v Speaker 2>it's not like generally available just yet. But when it

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<v Speaker 2>does work, it is the most magical thing you've ever seen.

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<v Speaker 1>Okay, what are the mistakes it's made that have created

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<v Speaker 1>problems for you? Bord a present for the wrong person, Well.

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<v Speaker 2>It can buy the wrong thing, but obviously you can

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<v Speaker 2>intervene and it will always ask you permission before it

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<v Speaker 2>takes the next action and stuff, so it's it's quite safe.

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<v Speaker 2>It's one of those things with technology, you know it

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<v Speaker 2>promises so much and it's always sort of just around

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<v Speaker 2>the corner.

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<v Speaker 3>I remember, like the allure of.

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<v Speaker 2>Getting a discman back in the nineties, and I had

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<v Speaker 2>this dream that I was going to be roll blading

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<v Speaker 2>down the street, and then I got one, and obviously

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<v Speaker 2>it didn't have any kind of vibration proof shop proof

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<v Speaker 2>technology yet, and so it would skip every time, like

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<v Speaker 2>I turned it on its side or tried to put

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<v Speaker 2>it in my back pocket.

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<v Speaker 3>And so it's a funny thing. Technology.

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<v Speaker 2>It's still magical and amazing, but it's always just got

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<v Speaker 2>a little bit further to go. And I think in

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<v Speaker 2>this case, it's a while yet before it's every day.

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<v Speaker 1>And I guess that given everything you've seen, you're one

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<v Speaker 1>of the founders of deep Mind, and you've worked at

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<v Speaker 1>Google and had your own AI company inflection before you

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<v Speaker 1>came to Microsoft. Does that mean that when you see

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<v Speaker 1>these hiccups or these stages of development, you have faith.

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<v Speaker 1>You don't get frustrated because you remember the moment when

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<v Speaker 1>back in twenty sixteen when your AI model beat the

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<v Speaker 1>world champion at go, which was a huge moment for AI.

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<v Speaker 2>I think I'm very stoic about these things, like I

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<v Speaker 2>know that it's going to work in the next six

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<v Speaker 2>months or twelve months, or maybe the worst case, eighteen months.

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<v Speaker 2>But you know, I think we've got a pretty good

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<v Speaker 2>rhythm now of picking things which are not too far

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<v Speaker 2>away but are genuinely transformative. And also, you know, it's

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<v Speaker 2>important to remember how magical it is today. It can

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<v Speaker 2>generate images, it can generate videos. It is already you know,

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<v Speaker 2>sort of superhuman magical, And I think I'm just one

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<v Speaker 2>of those people that's still inspired by what it can

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<v Speaker 2>do at any given moment.

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<v Speaker 1>By this time next year, could I be buying my

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<v Speaker 1>Christmas presents using an autonomous AI agent.

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<v Speaker 2>I'm pretty certain that you will be. Yeah, I think

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<v Speaker 2>it's highly highly likely.

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<v Speaker 1>So, speaking of magical things, the recent announcement that you

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<v Speaker 1>made at Microsoft about superintelligence. That's the term which has

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<v Speaker 1>really crept into the public debate thanks to you and

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<v Speaker 1>others in the last few months. When you use the

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<v Speaker 1>term superintelligence, what does it mean to you?

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<v Speaker 2>Super intelligent in the industry today means an AI system

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<v Speaker 2>that can learn any new task and perform better than

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<v Speaker 2>all human combined at all tasks.

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<v Speaker 3>So it is a very.

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<v Speaker 2>High bar and at the moment it comes with a

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<v Speaker 2>great deal of risk. It is not clear. In fact,

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<v Speaker 2>it's very uncertain how we would limit its capabilities and

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<v Speaker 2>align to get a system like that to care a

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<v Speaker 2>lot about humans and want us to succeed and flourish.

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<v Speaker 2>It's very unclear how we would contain and aligned a

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<v Speaker 2>system that is so much more powerful than us. And

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<v Speaker 2>so the framing that I prefer is one of a

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<v Speaker 2>humanist superintelligence, one that is always in our corner, on

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<v Speaker 2>our team, aligned to human interests, and until we can

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<v Speaker 2>prove that it will remain safe, we won't continue to

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<v Speaker 2>develop a system that has the potential to run away

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<v Speaker 2>from us and to get out the box.

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<v Speaker 3>And I think that that's an obvious thing to say.

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<v Speaker 2>Everybody should agree to that, and yet I think it's

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<v Speaker 2>kind of a novel position in the industry.

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<v Speaker 3>At the moment.

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<v Speaker 1>So is that how you're trying to set Microsoft apart?

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<v Speaker 1>A lot of people are working on superintelligence. Are you

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<v Speaker 1>trying to make my SELT distinctive by saying we will

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<v Speaker 1>always use it through a humanist lens?

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<v Speaker 2>Yes, that is our position. You know, Microsoft is a

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<v Speaker 2>company that's been around for fifty years. It is very careful,

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<v Speaker 2>it's highly trusted. Ninety percent of the s and P

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<v Speaker 2>five hundred use us to provide email and operating systems

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<v Speaker 2>and everyday productivity tools which are now among the best

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<v Speaker 2>in the world with co Pilot, And you know, I

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<v Speaker 2>think that we've got that reputation because the company has

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<v Speaker 2>been careful and we're going to continue to be careful,

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<v Speaker 2>and setting out a vision of humanist superintelligences is part

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<v Speaker 2>of that program.

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<v Speaker 1>So what does that mean for your rivals in that field,

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<v Speaker 1>some of whom you work closely with, like open AI,

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<v Speaker 1>which I'm sure we'll talk more about. But does it

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<v Speaker 1>mean that they're the wild West and you're the moral ones.

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<v Speaker 2>I think that everybody has to decide what they stand

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<v Speaker 2>for and how they operate, and I don't I don't

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<v Speaker 2>want to judge how they're operating right now. I don't

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<v Speaker 2>see any evidence of large scale mass harm. I don't

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<v Speaker 2>see any indication that these things are improving themselves or

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<v Speaker 2>operating autonomously. But we all predict a time in the

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<v Speaker 2>next five years, maybe in the next ten years, where

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<v Speaker 2>these capabilities do start to emerge and systems like this

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<v Speaker 2>could set their own goals, or they could improve their

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<v Speaker 2>own code, or they could act autonomously. Those things are

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<v Speaker 2>capabilities that I've clearly outlined as increasing the level of risk,

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<v Speaker 2>and therefore we have to approach them with caution, with

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<v Speaker 2>more transparency and audit, with more government engagement, and make

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<v Speaker 2>proactive declarations about how close we are to those three capabilities.

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<v Speaker 1>And does that mean that you won't be releasing a

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<v Speaker 1>superintelligence tool until you're confident that it can be controlled.

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<v Speaker 2>Yeah, I think that's right. I mean, I think for

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<v Speaker 2>sure the containment and alignment unnecessary prerequisites their red lines,

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<v Speaker 2>and I think everybody in the industry has to sign

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<v Speaker 2>up to that idea. I mean, nobody wants to cause

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<v Speaker 2>mass harmon fundamentally, even though we all disagree. Clearly, everybody

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<v Speaker 2>is committed to the survival of our species and I

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<v Speaker 2>would hope the kind of flourishing and well being of everybody.

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<v Speaker 2>So that's the discussion that we're trying to push now

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<v Speaker 2>and require everybody to ask themselves in the industry, are

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<v Speaker 2>they building a humanist superintelligence? Does it really stand for

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<v Speaker 2>people and for our species?

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<v Speaker 3>First?

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<v Speaker 1>Yeah, I'm just wondering how much confidence we can really

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<v Speaker 1>have in that given that things do go wrong and

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<v Speaker 1>I don't just mean AI, I mean humans do wrong. Things.

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<v Speaker 1>All things just go wrong for other reasons. And the

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<v Speaker 1>recent example that Microsoft had to deal with was having

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<v Speaker 1>to cease and disable some services that were being used

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<v Speaker 1>by the Israeli Ministry of Defense after reporting by The

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<v Speaker 1>Guardian that suggested they could be being used for mass surveillance.

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<v Speaker 3>That was very good reporting by the Guardian.

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<v Speaker 2>We were very grateful for it, and as soon as

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<v Speaker 2>we became aware of it, we actually made all the

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<v Speaker 2>necessary changes, removed the IDF from those servers and I think,

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<v Speaker 2>you know, they were clearly not in compliance with our

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<v Speaker 2>terms of service, and there's an ongoing investigation internally.

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<v Speaker 1>But I guess the broader point is that it's hard

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<v Speaker 1>to have confidence of controls and checks and balances and uses.

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<v Speaker 3>It is hard.

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<v Speaker 2>I mean, these are huge and complicated systems that they

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<v Speaker 2>carry a lot of risk, and the most that we

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<v Speaker 2>can do is make sure that we are auditing them

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<v Speaker 2>and we're removing actors that violate our terms of service

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<v Speaker 2>as quickly as possible.

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<v Speaker 1>So are the first uses of superintelligence going to be

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<v Speaker 1>in the medical field?

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<v Speaker 3>I think so.

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<v Speaker 2>I think that this is probably the most exciting application

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<v Speaker 2>of superintelligence. I think we now have systems that can

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<v Speaker 2>diagnose any rare condition that is found in the literature

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<v Speaker 2>significantly better than human performance, and do so with fewer

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<v Speaker 2>tests and interventions. And that's the key thing. It's like,

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<v Speaker 2>often it's actually quite expensive to run medical intervention tests

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<v Speaker 2>before you get to a diagnosis, and often they can

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<v Speaker 2>be unnecessary to and they take time, and then in

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<v Speaker 2>that process, you know the condition came off wor in

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<v Speaker 2>our case, our system does this significantly more cheaply, with

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<v Speaker 2>fewer tests and with higher accuracy.

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<v Speaker 3>We're just putting it.

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<v Speaker 2>Through independent peer review at the moment, and soon there'll

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<v Speaker 2>be clinical trials of it too.

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<v Speaker 3>So I think this is very, very, very exciting.

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<v Speaker 1>And did you push for that focus yourself, because you've

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<v Speaker 1>been running Microsoft AI for a while, about eighteen months now.

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<v Speaker 1>Super Intelligence was a big recent announcement, and I'm conscious

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<v Speaker 1>as I hear you talk about it that your mother

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<v Speaker 1>was a nurse and you, unusually for senior people in tech,

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<v Speaker 1>you've worked in the public sector as well.

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<v Speaker 3>Yeah, I mean this is an area that's very important

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<v Speaker 3>to me.

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<v Speaker 2>Obviously, my mum was in an HS nurse and you know,

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<v Speaker 2>I'm just a big believer that technology is here to

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<v Speaker 2>serve us. It should make our lives better, should make

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<v Speaker 2>us more comfortable one day. I think it is going

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<v Speaker 2>to help us to live longer, give us the option

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<v Speaker 2>to work less if we choose to. I do think

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<v Speaker 2>it's going to produce abundance, and I think that we

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<v Speaker 2>have to make conscious decisions to use it for those

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<v Speaker 2>applications first, and that that's why, you know, even back

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<v Speaker 2>at Deep Mind, I ran our health unit, and you know,

0:12:08.600 --> 0:12:09.760
<v Speaker 2>I'm very passionate about this.

0:12:10.200 --> 0:12:13.880
<v Speaker 1>Abundance is such a big promise. Tell me what you

0:12:14.240 --> 0:12:16.880
<v Speaker 1>mean by it, because most of the time we hear

0:12:16.880 --> 0:12:20.160
<v Speaker 1>about AI destroying jobs. But are you saying that the

0:12:20.320 --> 0:12:24.840
<v Speaker 1>work will be done by AI increasingly and therefore we

0:12:25.200 --> 0:12:27.240
<v Speaker 1>humans won't have to work as much.

0:12:27.760 --> 0:12:30.440
<v Speaker 2>I mean, I think that it is inevitable that at

0:12:30.440 --> 0:12:33.880
<v Speaker 2>some point over the next twenty or thirty years, machines

0:12:33.920 --> 0:12:36.000
<v Speaker 2>are going to be more capable than humans are doing

0:12:36.080 --> 0:12:40.040
<v Speaker 2>most work, and that might come much sooner. And so

0:12:40.160 --> 0:12:43.840
<v Speaker 2>we have to decide as a society what our purpose is,

0:12:44.320 --> 0:12:46.920
<v Speaker 2>and we have to be very thoughtful about the rate

0:12:46.960 --> 0:12:50.000
<v Speaker 2>of introduction of new machines because we have to make

0:12:50.040 --> 0:12:54.480
<v Speaker 2>sure that that rate of displacement is counterbalanced with a

0:12:54.559 --> 0:12:58.160
<v Speaker 2>mechanism to fund people and to support people through a

0:12:58.200 --> 0:13:01.920
<v Speaker 2>massive transition, which for which there is probably not going

0:13:01.960 --> 0:13:03.719
<v Speaker 2>to be other jobs on the other side that are

0:13:03.760 --> 0:13:06.960
<v Speaker 2>more competitive than what a machine can do. And so

0:13:07.040 --> 0:13:09.120
<v Speaker 2>this is a real big step change in what it

0:13:09.200 --> 0:13:10.760
<v Speaker 2>is to organize society.

0:13:11.240 --> 0:13:13.160
<v Speaker 1>But do you believe in the idea of a universal

0:13:13.200 --> 0:13:17.400
<v Speaker 1>basic income that that's what AI being very productive making

0:13:17.400 --> 0:13:20.080
<v Speaker 1>the economy more productive could unlock.

0:13:20.679 --> 0:13:22.480
<v Speaker 2>Yeah, I mean, I think I've long been on record

0:13:22.600 --> 0:13:26.880
<v Speaker 2>saying that I think that is both inevitable and very desirable.

0:13:27.280 --> 0:13:29.319
<v Speaker 2>We already live in a world of abundance, it's just

0:13:29.400 --> 0:13:32.760
<v Speaker 2>poorly distributed. We already have more calories to consume, we

0:13:32.800 --> 0:13:34.559
<v Speaker 2>have an incredible amount of food wastage.

0:13:34.600 --> 0:13:36.160
<v Speaker 3>It's just unevenly distributed.

0:13:36.600 --> 0:13:39.880
<v Speaker 2>And now that value isn't just manifested in atoms like

0:13:40.040 --> 0:13:44.400
<v Speaker 2>food and cars and physical things. It's manifested in digital

0:13:44.440 --> 0:13:49.360
<v Speaker 2>goods ideas, knowledge intelligence. And that's actually great news because

0:13:49.400 --> 0:13:53.240
<v Speaker 2>that can proliferate, it can spread extremely quickly around the

0:13:53.400 --> 0:13:56.120
<v Speaker 2>entire world. I mean, these llms and chatbots have been

0:13:56.160 --> 0:13:59.760
<v Speaker 2>the fastest spreading technology in history, basically two billion and

0:13:59.760 --> 0:14:03.560
<v Speaker 2>a users in the space of three years, and that's

0:14:03.559 --> 0:14:07.640
<v Speaker 2>actually amazing because it's delivering knowledge to every single person

0:14:07.640 --> 0:14:09.880
<v Speaker 2>who wants to use it on their phone in the

0:14:09.920 --> 0:14:13.120
<v Speaker 2>current sort of format and device they already use. So

0:14:13.360 --> 0:14:16.360
<v Speaker 2>I think that we have no problem with getting technology

0:14:16.400 --> 0:14:18.560
<v Speaker 2>out and available to everybody because there's going to be

0:14:18.640 --> 0:14:22.760
<v Speaker 2>massive competitive forces to reduce the cost of experiencing an AI.

0:14:23.360 --> 0:14:25.600
<v Speaker 2>The challenge we're going to have to figure out is

0:14:25.840 --> 0:14:29.520
<v Speaker 2>how we tax and redistribute so that the transition is

0:14:29.560 --> 0:14:30.440
<v Speaker 2>a healthy one.

0:14:31.000 --> 0:14:34.240
<v Speaker 1>Tell me more about where these ideas and your beliefs

0:14:34.720 --> 0:14:38.160
<v Speaker 1>come from. Your mother was a nurse. But the family

0:14:38.240 --> 0:14:41.560
<v Speaker 1>you grew up in in London in the nineteen eighties

0:14:41.640 --> 0:14:43.720
<v Speaker 1>and nineteen nineties, how would you describe it?

0:14:44.280 --> 0:14:47.040
<v Speaker 3>Preally working class there. My dad was a mini cab driver,

0:14:47.480 --> 0:14:48.240
<v Speaker 3>my mom works in.

0:14:48.400 --> 0:14:52.520
<v Speaker 2>HS and yeah, I mean we were fairly regular, like

0:14:52.600 --> 0:14:57.120
<v Speaker 2>kind of unremarkable. My parents didn't supervalue education stuff. They

0:14:57.160 --> 0:14:59.360
<v Speaker 2>always tho actually go get trade and my mom would

0:14:59.360 --> 0:15:00.680
<v Speaker 2>often say to me, you know, you should be a

0:15:00.680 --> 0:15:04.400
<v Speaker 2>carpenter electrician, you know, leave scot sixteen and stuff. So

0:15:04.800 --> 0:15:06.920
<v Speaker 2>I don't know, it comes from a place of just

0:15:07.480 --> 0:15:10.240
<v Speaker 2>experiencing the kind of rougher end of things a little

0:15:10.280 --> 0:15:13.520
<v Speaker 2>bit and then having just a desire to try to

0:15:14.520 --> 0:15:16.080
<v Speaker 2>do the best that we can do with the short

0:15:16.120 --> 0:15:16.640
<v Speaker 2>life that we have.

0:15:17.080 --> 0:15:20.120
<v Speaker 1>Your dad had come to the UK from Syria. Did

0:15:20.120 --> 0:15:21.920
<v Speaker 1>your parents meet in England?

0:15:22.720 --> 0:15:23.840
<v Speaker 3>Yes, yeah, that's right.

0:15:24.440 --> 0:15:27.280
<v Speaker 1>And what happened when you were sixteen must have had

0:15:27.320 --> 0:15:30.440
<v Speaker 1>because I read that when your parents split up, you

0:15:30.920 --> 0:15:34.720
<v Speaker 1>and your brother, your younger brother, were pretty much left

0:15:34.720 --> 0:15:36.000
<v Speaker 1>to fend for themselves.

0:15:36.960 --> 0:15:37.960
<v Speaker 3>Ah, that's true.

0:15:38.000 --> 0:15:40.320
<v Speaker 2>Yeah, I don't know where you've read that, but yeah,

0:15:40.800 --> 0:15:42.720
<v Speaker 2>me and my younger brother did live on our own

0:15:42.760 --> 0:15:43.440
<v Speaker 2>for a few years.

0:15:43.520 --> 0:15:43.760
<v Speaker 3>Yeah.

0:15:43.920 --> 0:15:46.600
<v Speaker 1>Yeah, I think you mentioned this in a Guardian interview

0:15:46.600 --> 0:15:48.520
<v Speaker 1>a couple of years ago when your book was coming out,

0:15:48.520 --> 0:15:51.360
<v Speaker 1>But I'm really curious to know more about what it

0:15:51.520 --> 0:15:53.560
<v Speaker 1>taught you and how you dealt with it at the time.

0:15:54.560 --> 0:15:56.640
<v Speaker 2>I think that when you're that age, you're just sort

0:15:56.640 --> 0:16:00.200
<v Speaker 2>of precocious and overconfident and fearless. We had everything we

0:16:00.280 --> 0:16:02.520
<v Speaker 2>needed and it worked out pretty well.

0:16:02.640 --> 0:16:04.640
<v Speaker 1>And this isn't a crucial time the last couple of

0:16:04.680 --> 0:16:08.400
<v Speaker 1>years of school, and you did do well in those

0:16:08.480 --> 0:16:10.360
<v Speaker 1>last couple of years of school because you ended up

0:16:10.680 --> 0:16:11.880
<v Speaker 1>getting to Oxford.

0:16:12.240 --> 0:16:12.440
<v Speaker 3>Yeah.

0:16:12.480 --> 0:16:15.680
<v Speaker 2>I was very lucky because I had great teachers and

0:16:16.000 --> 0:16:18.280
<v Speaker 2>good mentors, and I went to a very good school

0:16:18.600 --> 0:16:21.760
<v Speaker 2>which was far from my home, but you could do

0:16:21.960 --> 0:16:24.280
<v Speaker 2>exams to get in, so I studied really hard for

0:16:24.280 --> 0:16:26.800
<v Speaker 2>when I was ten years old for the entrance exams,

0:16:26.800 --> 0:16:29.600
<v Speaker 2>and it was essentially like going to a private school.

0:16:29.760 --> 0:16:32.880
<v Speaker 2>Basically everyone was like very studious and got great grades

0:16:32.920 --> 0:16:36.000
<v Speaker 2>and stuff. And yeah, I was lucky enough to get

0:16:36.000 --> 0:16:38.720
<v Speaker 2>into Oxford, and you know, that was an amazing experience.

0:16:39.400 --> 0:16:41.080
<v Speaker 1>Have you thought about what your life would have been

0:16:41.400 --> 0:16:43.760
<v Speaker 1>like in that period in your mid teens had it

0:16:43.800 --> 0:16:45.080
<v Speaker 1>not been for that school.

0:16:45.960 --> 0:16:48.440
<v Speaker 3>Yeah, I haven't thought much about that. It would have

0:16:48.480 --> 0:16:49.680
<v Speaker 3>been pretty different.

0:16:50.120 --> 0:16:53.800
<v Speaker 1>And then you got to Oxford and you did actually

0:16:53.800 --> 0:16:55.840
<v Speaker 1>subject pretty close to what my son is doing there

0:16:55.920 --> 0:16:58.720
<v Speaker 1>right now. He's doing theology. You did philosophy and theology,

0:16:59.040 --> 0:17:01.840
<v Speaker 1>and then tragedy cle to my ears as a parent,

0:17:01.880 --> 0:17:02.680
<v Speaker 1>you dropped out.

0:17:03.240 --> 0:17:06.600
<v Speaker 2>Yeah, well, I was very frustrated and eager to change

0:17:06.600 --> 0:17:09.800
<v Speaker 2>the world and get stuff done, and so I actually

0:17:09.880 --> 0:17:13.400
<v Speaker 2>dropped out. And I helped to start a telephone counseling

0:17:13.440 --> 0:17:17.080
<v Speaker 2>service for young British Muslims called Muslim Youth Helpline, which

0:17:17.119 --> 0:17:19.920
<v Speaker 2>I worked on for two or three years as a volunteer.

0:17:20.520 --> 0:17:24.040
<v Speaker 2>And it was a secular peer to peer listing service

0:17:24.160 --> 0:17:26.800
<v Speaker 2>for young British Muslims that post nine to eleven were

0:17:27.119 --> 0:17:30.120
<v Speaker 2>dealing with a lot of I guess identity crisis would

0:17:30.160 --> 0:17:31.960
<v Speaker 2>be the way that we would describe it in hindsight,

0:17:32.000 --> 0:17:34.080
<v Speaker 2>but at the time it was just like, you know,

0:17:34.240 --> 0:17:37.639
<v Speaker 2>lack of connection to community, family, parents, a lot of

0:17:37.680 --> 0:17:40.520
<v Speaker 2>bullying and so yeah, I worked on that pretty much

0:17:40.560 --> 0:17:42.200
<v Speaker 2>full time for two or three years.

0:17:42.480 --> 0:17:46.800
<v Speaker 1>And had you experienced anti Muslim sentiment and hatred yourself

0:17:46.840 --> 0:17:49.640
<v Speaker 1>at that time given the period we're talking about after

0:17:49.720 --> 0:17:50.640
<v Speaker 1>nine to eleven.

0:17:51.080 --> 0:17:53.600
<v Speaker 2>A little bit, Yeah, I think it was more just

0:17:53.920 --> 0:17:55.360
<v Speaker 2>not so much for me, but I think a lot

0:17:55.359 --> 0:17:58.040
<v Speaker 2>of people felt that, you know, we weren't sort of

0:17:58.040 --> 0:18:01.359
<v Speaker 2>British enough, and people were figuring out how to both

0:18:01.560 --> 0:18:06.560
<v Speaker 2>live their cultural religious identities in the context of families

0:18:06.560 --> 0:18:09.639
<v Speaker 2>that often were first generation, didn't really speak the language,

0:18:09.680 --> 0:18:12.399
<v Speaker 2>didn't know how to navigate the system, and then this

0:18:12.600 --> 0:18:15.840
<v Speaker 2>increased kind of skepticism that we were sort of mostly

0:18:15.960 --> 0:18:17.000
<v Speaker 2>terrorists or whatever.

0:18:17.119 --> 0:18:19.040
<v Speaker 3>And I think that was just this general.

0:18:18.720 --> 0:18:22.280
<v Speaker 2>Kind of fear and exclusion, and actually most of the

0:18:22.320 --> 0:18:25.760
<v Speaker 2>time that was dealt with by just having kind and

0:18:25.800 --> 0:18:29.600
<v Speaker 2>supportive conversation and having somebody be available on the other

0:18:29.720 --> 0:18:30.480
<v Speaker 2>end of a telephone.

0:18:30.640 --> 0:18:32.240
<v Speaker 1>Yeah, someone to talk to. I know the work of

0:18:32.280 --> 0:18:34.879
<v Speaker 1>the helpline actually, so I know exactly the world that

0:18:34.920 --> 0:18:37.679
<v Speaker 1>you're talking about. Did you think hard about dropping out

0:18:37.720 --> 0:18:41.920
<v Speaker 1>of university and have you regretted it at any point?

0:18:41.960 --> 0:18:45.399
<v Speaker 2>Since I haven't regretted it, and I probably could have

0:18:45.480 --> 0:18:48.439
<v Speaker 2>thought harder about it. My tutor did encourage me to

0:18:48.480 --> 0:18:51.960
<v Speaker 2>like switch subjects or change college and actually had me

0:18:52.040 --> 0:18:54.840
<v Speaker 2>go meet one of his friends in a different college

0:18:54.880 --> 0:18:57.399
<v Speaker 2>to go and talk about doing history or PP. But

0:18:57.640 --> 0:19:00.679
<v Speaker 2>that point I was just so full of energy and

0:19:00.760 --> 0:19:03.119
<v Speaker 2>like eager to start things. I started a business at

0:19:03.160 --> 0:19:07.040
<v Speaker 2>the same time, sort of PDAs into restaurants to try

0:19:07.040 --> 0:19:10.439
<v Speaker 2>and do restaurant booking and stuff and doing their networking.

0:19:09.960 --> 0:19:10.879
<v Speaker 3>And so on.

0:19:10.920 --> 0:19:12.560
<v Speaker 2>It was our very early days of the internet, so

0:19:12.600 --> 0:19:14.080
<v Speaker 2>it was a bit early, but I did that for

0:19:14.400 --> 0:19:16.680
<v Speaker 2>about a year or two as well. I had too

0:19:16.720 --> 0:19:19.440
<v Speaker 2>much energy, I think for sitting around thinking in the

0:19:19.520 --> 0:19:20.600
<v Speaker 2>dreamy spires.

0:19:37.680 --> 0:19:41.480
<v Speaker 1>Now Here you are in this circle of power, right,

0:19:41.640 --> 0:19:43.960
<v Speaker 1>one of a small group of people who are making

0:19:44.000 --> 0:19:47.280
<v Speaker 1>decisions on a technology that is already changing all our

0:19:47.320 --> 0:19:50.280
<v Speaker 1>lives and will continue to do. So, how conscious are

0:19:50.320 --> 0:19:51.159
<v Speaker 1>you of that power?

0:19:52.240 --> 0:19:52.840
<v Speaker 3>Very conscious?

0:19:52.880 --> 0:19:56.240
<v Speaker 2>I take it very seriously and it's a great responsibility.

0:19:56.600 --> 0:19:59.080
<v Speaker 2>And you know, I think that this is a moment

0:19:59.200 --> 0:20:03.560
<v Speaker 2>when decisions that we make may have very lasting consequences.

0:20:03.600 --> 0:20:06.840
<v Speaker 2>And I read history and I look back at times,

0:20:07.520 --> 0:20:11.000
<v Speaker 2>for example, in the social media revolution, where I think

0:20:11.040 --> 0:20:13.199
<v Speaker 2>it was very clear that there were potential harms that

0:20:13.280 --> 0:20:15.800
<v Speaker 2>maybe fell on deaf fears for too long. Or I

0:20:15.840 --> 0:20:18.520
<v Speaker 2>look back at you know, the electric car revolution that

0:20:18.560 --> 0:20:21.560
<v Speaker 2>could have taken off way back in the twenties, or

0:20:21.680 --> 0:20:24.639
<v Speaker 2>you know, you look at kind of smoking or oil.

0:20:24.800 --> 0:20:27.760
<v Speaker 2>So I'm very sensitive to those things because it's very

0:20:27.800 --> 0:20:31.200
<v Speaker 2>clear that these things will cause harm, and I think

0:20:31.240 --> 0:20:33.720
<v Speaker 2>that we have to be very very careful about how

0:20:33.760 --> 0:20:36.200
<v Speaker 2>we deploy them and how they're introduced into the world.

0:20:36.640 --> 0:20:39.119
<v Speaker 1>Do you talk about this with your peers, with people

0:20:39.160 --> 0:20:41.080
<v Speaker 1>like Sam Altman, who I know you're close to.

0:20:42.000 --> 0:20:44.320
<v Speaker 2>Yes, I mean, I think everybody in the industry does.

0:20:44.640 --> 0:20:48.600
<v Speaker 2>And there's definitely a group of the CEOs. Obviously, Sam

0:20:48.640 --> 0:20:51.879
<v Speaker 2>and Dario from Anthropic were co founders, Me and Demis

0:20:51.880 --> 0:20:54.479
<v Speaker 2>were co founders, so we all know each other very

0:20:54.560 --> 0:20:57.199
<v Speaker 2>very well. And I think on the whole everybody is

0:20:57.280 --> 0:20:59.880
<v Speaker 2>genuinely committed to trying to find the right path through.

0:21:00.400 --> 0:21:02.760
<v Speaker 2>It's also very competitive, so there's obviously a lot of

0:21:02.760 --> 0:21:03.600
<v Speaker 2>that dynamic too.

0:21:04.119 --> 0:21:06.800
<v Speaker 1>Yeah. Do you recognize the term brolligarchy.

0:21:08.560 --> 0:21:10.520
<v Speaker 2>I haven't heard that before, but I can figure out

0:21:10.560 --> 0:21:12.960
<v Speaker 2>what it means. Yeah, I guess that's true. And it

0:21:13.000 --> 0:21:15.399
<v Speaker 2>is very male centric, although it should be said Mira Marati,

0:21:15.440 --> 0:21:17.960
<v Speaker 2>who's the XCTO of Opening Eyes, one of the best

0:21:17.960 --> 0:21:19.080
<v Speaker 2>people in the field.

0:21:19.119 --> 0:21:21.159
<v Speaker 1>Or tech bros. I'm sure you've heard that one. I

0:21:21.200 --> 0:21:25.120
<v Speaker 1>don't know if you've seen Jesse Armstrong's Mountainhead, have you?

0:21:25.160 --> 0:21:26.200
<v Speaker 3>No? I haven't. No.

0:21:27.160 --> 0:21:30.280
<v Speaker 1>It is it is all about a group of people,

0:21:30.320 --> 0:21:33.199
<v Speaker 1>one of whom is clearly Elon Musk, another one who

0:21:33.280 --> 0:21:36.840
<v Speaker 1>looks like Peter Teal or sounds like Peter Teal. And

0:21:37.200 --> 0:21:41.720
<v Speaker 1>it's you know, it's quite a sobering portrait. His impression

0:21:41.880 --> 0:21:45.600
<v Speaker 1>of life in this quite rarefied, very powerful circle.

0:21:46.080 --> 0:21:48.119
<v Speaker 2>Yeah, and I think part of the challenge is that

0:21:48.160 --> 0:21:50.800
<v Speaker 2>we all spend a lot of time in Silicon Valley,

0:21:50.840 --> 0:21:53.199
<v Speaker 2>where the skies are blue, and you know, life is

0:21:53.280 --> 0:21:55.760
<v Speaker 2>very peaceful. I try to travel a lot. I just

0:21:55.800 --> 0:21:58.720
<v Speaker 2>came back from China, a couple of weeks ago, whereas

0:21:58.760 --> 0:22:02.119
<v Speaker 2>in five or six difference season. It's just staggering to

0:22:02.359 --> 0:22:05.439
<v Speaker 2>get out of the bubble and see how this technology

0:22:05.480 --> 0:22:07.720
<v Speaker 2>is being developed on the other side of the world.

0:22:07.800 --> 0:22:10.679
<v Speaker 2>And you know, both the pace of innovation, but also

0:22:11.119 --> 0:22:12.919
<v Speaker 2>you know, I think the thoughtfulness of some of the

0:22:12.920 --> 0:22:15.360
<v Speaker 2>regulatory stuff. I mean, I think they are definitely thinking

0:22:15.800 --> 0:22:19.000
<v Speaker 2>pretty carefully about it as well, So it's impressive. I

0:22:19.040 --> 0:22:20.840
<v Speaker 2>also come back to London a lot and make sure

0:22:20.840 --> 0:22:22.720
<v Speaker 2>that I spend time outside of Silicon Valley.

0:22:22.840 --> 0:22:25.399
<v Speaker 1>So if you have a different impression to someone like

0:22:25.760 --> 0:22:29.240
<v Speaker 1>Jesse Armstrong or others about your world, can I ask

0:22:29.280 --> 0:22:32.080
<v Speaker 1>you just to because you know these key players, can

0:22:32.119 --> 0:22:34.359
<v Speaker 1>you describe some of them in one word? Like if

0:22:34.400 --> 0:22:36.720
<v Speaker 1>I say to Sam Ortman, what word first comes into

0:22:36.760 --> 0:22:37.200
<v Speaker 1>your mind?

0:22:39.760 --> 0:22:48.560
<v Speaker 4>Oh my god, Yeah, I guess courageous, because well, you know,

0:22:48.680 --> 0:22:52.280
<v Speaker 4>he's obviously sort of growing his data center fleet very

0:22:52.359 --> 0:22:53.640
<v Speaker 4>very aggressively.

0:22:53.960 --> 0:22:55.760
<v Speaker 2>He may well turn out to be one of the

0:22:55.800 --> 0:22:59.920
<v Speaker 2>great entrepreneurs of our generation. He's certainly achieved a lot,

0:23:00.040 --> 0:23:03.479
<v Speaker 2>and I think now he's building data centers at a

0:23:03.520 --> 0:23:05.760
<v Speaker 2>faster rate than I think anyone in the industry.

0:23:05.800 --> 0:23:08.000
<v Speaker 3>And if he can pull it off. It will be

0:23:08.160 --> 0:23:09.000
<v Speaker 3>pretty dramatic.

0:23:09.440 --> 0:23:11.320
<v Speaker 1>It's interesting that there is an IF on that, and

0:23:11.320 --> 0:23:14.080
<v Speaker 1>I understand why there are huge amounts of money being

0:23:14.200 --> 0:23:16.760
<v Speaker 1>spent by open Ai. Is it a gamble? Is it

0:23:16.800 --> 0:23:18.919
<v Speaker 1>not a given that it's going to pay off for them?

0:23:19.119 --> 0:23:21.280
<v Speaker 2>Well, I think that chat GPT is one of the

0:23:21.320 --> 0:23:24.840
<v Speaker 2>greatest products that we've seen in a generation, and so

0:23:25.000 --> 0:23:27.600
<v Speaker 2>that speaks for itself. At the same time, I guess

0:23:27.640 --> 0:23:29.639
<v Speaker 2>they've signed over a trillion and a half dollars of

0:23:30.200 --> 0:23:33.040
<v Speaker 2>commitments for building data centers over the next five or

0:23:33.040 --> 0:23:35.880
<v Speaker 2>ten years. Their revenues are quite a long way from there,

0:23:35.920 --> 0:23:37.760
<v Speaker 2>so they've got a long way to go. But they're

0:23:37.880 --> 0:23:40.199
<v Speaker 2>very talented teams, so I've got every confidence they can

0:23:40.240 --> 0:23:40.439
<v Speaker 2>do it.

0:23:40.760 --> 0:23:43.600
<v Speaker 1>Okay, So other descriptions, what word would use to describe

0:23:43.640 --> 0:23:45.400
<v Speaker 1>demis Hesavis?

0:23:47.680 --> 0:23:49.159
<v Speaker 3>Yeah, probably a great scientist.

0:23:49.520 --> 0:23:52.120
<v Speaker 2>I mean, I think he's a great thinker and he's

0:23:52.160 --> 0:23:55.719
<v Speaker 2>a good polymath. He's made massive contributions in the field

0:23:56.320 --> 0:23:59.399
<v Speaker 2>multiple times, and so I think he's truly exceptional.

0:24:00.160 --> 0:24:01.560
<v Speaker 1>Together and now your competitors.

0:24:01.960 --> 0:24:04.600
<v Speaker 2>Yeah, but we started off as very very close friends.

0:24:05.119 --> 0:24:08.280
<v Speaker 2>We work together every day for ten years and I

0:24:08.400 --> 0:24:11.080
<v Speaker 2>learned a lot from him, and have huge respect for him.

0:24:11.320 --> 0:24:12.080
<v Speaker 1>Do you still talk?

0:24:12.400 --> 0:24:13.680
<v Speaker 3>Yeah, we texted last night.

0:24:13.720 --> 0:24:17.720
<v Speaker 2>Actually I congratulated him on the Nano banana, Gemini three

0:24:17.800 --> 0:24:20.320
<v Speaker 2>and five years of Alpha fold all in one week.

0:24:21.040 --> 0:24:24.000
<v Speaker 1>Have you tried out Gemini three because it is creating

0:24:24.040 --> 0:24:26.119
<v Speaker 1>quite a lot of waves. Do you think it is

0:24:26.119 --> 0:24:27.240
<v Speaker 1>better than chat GPT?

0:24:28.040 --> 0:24:30.399
<v Speaker 3>Ah, you know, they're kind of different.

0:24:30.520 --> 0:24:35.560
<v Speaker 2>It's definitely got more kind of niche skills that chat

0:24:35.680 --> 0:24:39.520
<v Speaker 2>GPT doesn't have, and it's very fast. CHURCHIBT is very strong,

0:24:39.600 --> 0:24:41.160
<v Speaker 2>So I wouldn't I wouldn't go that far.

0:24:41.240 --> 0:24:42.639
<v Speaker 1>Okay, is it better than Copilot?

0:24:43.680 --> 0:24:45.679
<v Speaker 2>It can do things that Copilot can't do. I mean

0:24:45.720 --> 0:24:48.600
<v Speaker 2>Copilot has features that it doesn't have, Like Copilot's actually

0:24:48.680 --> 0:24:51.439
<v Speaker 2>amazing for vision. One of my favorite features is like

0:24:51.480 --> 0:24:54.280
<v Speaker 2>pull out your phone and talk about the world with

0:24:54.440 --> 0:24:56.920
<v Speaker 2>co Pilot in your hand, and it can see exactly

0:24:56.960 --> 0:24:59.000
<v Speaker 2>what you're looking at and you can talk about it

0:24:59.040 --> 0:25:00.480
<v Speaker 2>and get feedback opinions.

0:25:00.520 --> 0:25:02.680
<v Speaker 3>You might be shopping for furniture or clothes.

0:25:03.160 --> 0:25:05.560
<v Speaker 2>Yes, we're putting the capabilities, but we're really trying to

0:25:05.600 --> 0:25:08.880
<v Speaker 2>imagine what is the day to day experience of having

0:25:08.960 --> 0:25:12.960
<v Speaker 2>this really intelligent assistant at your side that can talk

0:25:13.000 --> 0:25:14.760
<v Speaker 2>to you about the world and help you sort of

0:25:15.280 --> 0:25:17.719
<v Speaker 2>help unblock you whenever you get stuck with something.

0:25:18.080 --> 0:25:20.080
<v Speaker 1>Okay, I'm only going to do one more of these,

0:25:20.359 --> 0:25:22.600
<v Speaker 1>but it's Elon Musk. How would you describe him?

0:25:23.200 --> 0:25:24.640
<v Speaker 3>I guess as a bulldozer.

0:25:25.280 --> 0:25:30.199
<v Speaker 2>He's kind of got superhuman capabilities to bend reality to

0:25:30.680 --> 0:25:35.439
<v Speaker 2>his will and has, you know, pretty incredible track record

0:25:35.760 --> 0:25:39.520
<v Speaker 2>and somehow he sort of mostly manages to pull off

0:25:39.720 --> 0:25:43.320
<v Speaker 2>what appears to be impossible. But yeah, probably different kind

0:25:43.359 --> 0:25:44.160
<v Speaker 2>of set of values.

0:25:44.320 --> 0:25:49.000
<v Speaker 1>I have interviewed him. He ended up calling me an NPC.

0:25:53.240 --> 0:25:55.680
<v Speaker 1>I guess that was probably a form of bulldozing.

0:25:56.119 --> 0:25:58.360
<v Speaker 3>Yeah, I mean that's probably a good example.

0:25:58.440 --> 0:26:01.639
<v Speaker 2>That sounds like exactly Elon. I kind of like that

0:26:01.680 --> 0:26:03.879
<v Speaker 2>he speaks his mind. I mean, he's very unfiltered.

0:26:04.480 --> 0:26:06.960
<v Speaker 1>I think you've said that your politics are different from him,

0:26:07.040 --> 0:26:11.640
<v Speaker 1>and Peter Thiel's that the libertarian you know, not much

0:26:11.720 --> 0:26:15.760
<v Speaker 1>value to the nation state, etc. Are it's not your world.

0:26:16.040 --> 0:26:18.359
<v Speaker 1>Would you call yourself as being on the left of

0:26:18.440 --> 0:26:21.320
<v Speaker 1>the political spectrum or is there a different description you'd use.

0:26:21.680 --> 0:26:24.119
<v Speaker 2>I would say I'm sort of a centrist these days.

0:26:24.280 --> 0:26:28.520
<v Speaker 2>I definitely started as a lefty, but yeah, I'm proud

0:26:28.560 --> 0:26:30.359
<v Speaker 2>to say that I'm on the kind of center left

0:26:30.400 --> 0:26:34.040
<v Speaker 2>of the spectrum. I believe that government plays an important

0:26:34.119 --> 0:26:36.399
<v Speaker 2>role in society. It's a controversial thing to say in

0:26:36.440 --> 0:26:39.679
<v Speaker 2>Silicon Valley, but I think regulation is necessary and it

0:26:39.720 --> 0:26:43.679
<v Speaker 2>has made most technologies better. And people forget this, like

0:26:44.200 --> 0:26:49.160
<v Speaker 2>cars only work because we have driver training and emissions

0:26:49.200 --> 0:26:54.959
<v Speaker 2>regulations and street lights and motorway speed limits and so

0:26:55.000 --> 0:26:57.600
<v Speaker 2>on and so forth, And so that's what regulation is

0:26:57.640 --> 0:26:59.560
<v Speaker 2>when it works well, and we just need more of that.

0:27:00.080 --> 0:27:03.040
<v Speaker 1>Do you feel isolated saying that, because clearly the Trump

0:27:03.080 --> 0:27:09.000
<v Speaker 1>administration is not into regulation and the industry overall is

0:27:09.119 --> 0:27:09.960
<v Speaker 1>quite happy with that.

0:27:10.960 --> 0:27:11.240
<v Speaker 3>Yeah.

0:27:11.320 --> 0:27:14.960
<v Speaker 2>I think that right now we are not in a

0:27:15.080 --> 0:27:16.280
<v Speaker 2>mode where there.

0:27:16.200 --> 0:27:17.800
<v Speaker 3>Is huge catastrophic harm.

0:27:18.440 --> 0:27:21.520
<v Speaker 2>The industry has done a pretty good job of introducing

0:27:21.720 --> 0:27:26.359
<v Speaker 2>very powerful chatbots in a way where the personality is

0:27:26.400 --> 0:27:30.240
<v Speaker 2>sculpted to be very even handed, to be very evidence based.

0:27:30.840 --> 0:27:32.439
<v Speaker 2>I think that it didn't have to go like that.

0:27:32.520 --> 0:27:35.320
<v Speaker 2>It went like that, I think because the leaders have

0:27:35.400 --> 0:27:38.119
<v Speaker 2>done a pretty decent job. Now, that doesn't mean that

0:27:38.160 --> 0:27:40.480
<v Speaker 2>there aren't going to be issues coming up, and I'm

0:27:40.480 --> 0:27:43.680
<v Speaker 2>obviously very wide eyed about them, but I don't think

0:27:43.680 --> 0:27:46.560
<v Speaker 2>we're in a mode where we need emergency regulation. For example,

0:27:46.880 --> 0:27:49.159
<v Speaker 2>some of the regulations that have been proposed in Europe

0:27:49.760 --> 0:27:52.359
<v Speaker 2>are currently in talks to be wound back with the

0:27:52.400 --> 0:27:56.600
<v Speaker 2>EUAI Act, And people shouldn't criticize that. That's like the

0:27:56.680 --> 0:28:00.480
<v Speaker 2>process working. That's the regulator taking feedback, see how things

0:28:00.480 --> 0:28:03.760
<v Speaker 2>work in practice. That should be celebrated. But at the

0:28:03.760 --> 0:28:06.159
<v Speaker 2>same time, they have to be able to have the

0:28:06.200 --> 0:28:09.280
<v Speaker 2>freedom to experiment and try new regulations. And I think

0:28:09.280 --> 0:28:09.920
<v Speaker 2>that's a good thing.

0:28:10.240 --> 0:28:12.400
<v Speaker 1>Do you think Mustapha? You see some of these issues

0:28:12.400 --> 0:28:14.959
<v Speaker 1>differently now that you are right at the heart of

0:28:15.040 --> 0:28:18.240
<v Speaker 1>one of the biggest companies of all because in your

0:28:18.280 --> 0:28:21.240
<v Speaker 1>book The Coming Wave, and in a piece you wrote

0:28:21.240 --> 0:28:24.480
<v Speaker 1>about the same time for Foreign Affairs, you were quite

0:28:24.560 --> 0:28:27.439
<v Speaker 1>clear on how much governance was needed. In fact, you

0:28:27.480 --> 0:28:31.600
<v Speaker 1>said you wanted three different kinds of governance, regimes modeled

0:28:31.640 --> 0:28:35.359
<v Speaker 1>on climate change and financial stability, and arms controlled that

0:28:35.480 --> 0:28:37.879
<v Speaker 1>AI and tech could learn from all three of those.

0:28:38.400 --> 0:28:40.600
<v Speaker 1>And yet you sound much more sanguine now. Is it

0:28:40.680 --> 0:28:42.520
<v Speaker 1>just because of where you are.

0:28:43.040 --> 0:28:44.560
<v Speaker 3>I'm still calling for those things.

0:28:44.680 --> 0:28:47.600
<v Speaker 2>We should have a financial stability board for AI, we

0:28:47.640 --> 0:28:51.320
<v Speaker 2>should have a climate process and I can which basically

0:28:51.480 --> 0:28:55.040
<v Speaker 2>goes and audits the progress that we're making. I advocated

0:28:55.040 --> 0:28:57.880
<v Speaker 2>for the White House AI Principles under the Biden administration,

0:28:58.200 --> 0:29:01.400
<v Speaker 2>where we made voluntary commitments as companies. At the time,

0:29:01.440 --> 0:29:03.920
<v Speaker 2>it was my startup inflection, but we pushed all the

0:29:03.920 --> 0:29:06.200
<v Speaker 2>other companies to do it as well, where you disclose

0:29:06.280 --> 0:29:08.280
<v Speaker 2>the size of your model. We've signed up to those

0:29:08.320 --> 0:29:13.160
<v Speaker 2>disclosures in Europe and with the UKAI Safety Institute. So yeah, yeah,

0:29:13.320 --> 0:29:15.080
<v Speaker 2>I don't mean to say that we don't need it.

0:29:15.160 --> 0:29:18.760
<v Speaker 2>I'm saying that these are such long term effects, and

0:29:19.040 --> 0:29:22.280
<v Speaker 2>these governance processes take so long to build that we've

0:29:22.280 --> 0:29:24.560
<v Speaker 2>basically got to start now. But what we don't need

0:29:24.600 --> 0:29:28.240
<v Speaker 2>is knee jerk reaction. We don't need some panicked overreaction

0:29:28.480 --> 0:29:30.280
<v Speaker 2>because that would cause a different set of.

0:29:30.280 --> 0:29:34.040
<v Speaker 1>Problems the superintelligence work you're doing. And indeed, you know

0:29:34.120 --> 0:29:35.960
<v Speaker 1>everything that you're doing in AI in the moment, You're

0:29:36.000 --> 0:29:38.680
<v Speaker 1>in a new phase, aren't you, because now that you've

0:29:38.720 --> 0:29:43.240
<v Speaker 1>got a revised agreement with open AI, you suddenly have

0:29:43.400 --> 0:29:48.000
<v Speaker 1>the freedom to pursue AI independently. Help me understand how

0:29:48.000 --> 0:29:50.560
<v Speaker 1>that relationship with open AI is going to work in future,

0:29:50.680 --> 0:29:53.920
<v Speaker 1>because you've been collaborators Microsoft and open Air for a

0:29:53.920 --> 0:29:56.520
<v Speaker 1>long time. Now you're also going to be competitors. How

0:29:56.560 --> 0:29:57.400
<v Speaker 1>does that work.

0:29:58.160 --> 0:30:00.680
<v Speaker 2>It's a sort of complicated setup for people to follow

0:30:00.720 --> 0:30:03.560
<v Speaker 2>along to. But the bottom line is that up until

0:30:03.600 --> 0:30:07.720
<v Speaker 2>a few weeks ago, Microsoft was not allowed by contract

0:30:07.800 --> 0:30:12.560
<v Speaker 2>to pursue artificial general intelligence or superintelligence independently. And the

0:30:12.640 --> 0:30:15.560
<v Speaker 2>deal with open Ai was that it would then go

0:30:15.600 --> 0:30:18.480
<v Speaker 2>and build AGI when they signed the agreements back in

0:30:18.480 --> 0:30:23.920
<v Speaker 2>twenty nineteen, and in return, Microsoft would build the AI infrastructure,

0:30:24.000 --> 0:30:26.640
<v Speaker 2>the chips and the data centers, and in return from

0:30:26.680 --> 0:30:30.080
<v Speaker 2>providing the chips, Microsoft would get a license to the

0:30:30.320 --> 0:30:32.560
<v Speaker 2>models that have been built, and we still have that

0:30:32.720 --> 0:30:35.400
<v Speaker 2>license to everything that open Ai builds up until twenty

0:30:35.440 --> 0:30:39.080
<v Speaker 2>thirty two. But open Ai decided that they wanted to

0:30:39.120 --> 0:30:43.280
<v Speaker 2>take on more compute and buy compute from other providers,

0:30:43.760 --> 0:30:47.240
<v Speaker 2>and so they now have deals with soft Bank and

0:30:47.360 --> 0:30:51.960
<v Speaker 2>many others, Oracle to build more data centers than Microsoft

0:30:52.040 --> 0:30:55.320
<v Speaker 2>wanted to build for them. And so in return, we

0:30:55.480 --> 0:30:58.200
<v Speaker 2>then have the right to go and develop our own

0:30:58.360 --> 0:31:00.320
<v Speaker 2>AI And obviously that was a big part of me

0:31:00.480 --> 0:31:03.600
<v Speaker 2>joining the company eighteen months ago. That we're now hiring

0:31:03.640 --> 0:31:07.560
<v Speaker 2>out a super intelligence team and pursuing our own AI development.

0:31:07.840 --> 0:31:11.320
<v Speaker 1>So was that deal a relief to you because without it,

0:31:12.240 --> 0:31:14.880
<v Speaker 1>how much could you have done? As Microsoft's AI chief?

0:31:15.440 --> 0:31:16.800
<v Speaker 3>Well, I mean a lot.

0:31:16.880 --> 0:31:19.160
<v Speaker 2>I mean we have two hundred and eighty billion dollars

0:31:19.240 --> 0:31:23.640
<v Speaker 2>of revenue all major institutions in the world, and they

0:31:23.680 --> 0:31:26.720
<v Speaker 2>need to be able to use RAI features and ORAI

0:31:26.800 --> 0:31:30.000
<v Speaker 2>tools every single day. So you know, we're still been

0:31:30.080 --> 0:31:33.440
<v Speaker 2>a general purpose AI development shop over the last eighteen months,

0:31:33.800 --> 0:31:36.880
<v Speaker 2>but now we can work on some techniques and methodologies

0:31:36.880 --> 0:31:40.000
<v Speaker 2>that have the potential to exceed human performance at all tasks.

0:31:40.360 --> 0:31:42.280
<v Speaker 3>And so it is a shift for us.

0:31:42.640 --> 0:31:47.760
<v Speaker 1>Does your relationship with OpenAI include not poaching each other's

0:31:48.040 --> 0:31:51.760
<v Speaker 1>staff because we've just had another bit of evidence of

0:31:51.800 --> 0:31:56.280
<v Speaker 1>the talent war that's underway. You've just lost one of

0:31:56.320 --> 0:31:58.479
<v Speaker 1>your key people to Apple.

0:31:58.920 --> 0:32:00.760
<v Speaker 2>Yeah, he's going to go and run the Apple Lab.

0:32:00.880 --> 0:32:03.040
<v Speaker 2>I mean, look, I think that there's huge rotation. I

0:32:03.040 --> 0:32:05.160
<v Speaker 2>mean the talent in the industry. We just got a

0:32:05.160 --> 0:32:08.000
<v Speaker 2>whole bunch of people from Google Deep Mind, We've got

0:32:08.000 --> 0:32:08.880
<v Speaker 2>people from open Ai.

0:32:09.040 --> 0:32:10.680
<v Speaker 3>I mean is there's a lot of rotation. This is

0:32:10.760 --> 0:32:11.720
<v Speaker 3>part of the industry.

0:32:11.800 --> 0:32:15.200
<v Speaker 2>So there's certainly no no poach agreements that would not

0:32:15.280 --> 0:32:17.600
<v Speaker 2>be legal. People can go work for whoever they want

0:32:17.600 --> 0:32:20.120
<v Speaker 2>to go work for, and I think that at this

0:32:20.320 --> 0:32:23.640
<v Speaker 2>time in the industry, it's just very very competitive.

0:32:23.840 --> 0:32:25.920
<v Speaker 1>And does that mean that you are prepared to Oh

0:32:25.960 --> 0:32:28.360
<v Speaker 1>and are you already matching the kinds of sums that

0:32:28.520 --> 0:32:32.080
<v Speaker 1>Meta's been spending the one hundred to two hundred million

0:32:32.120 --> 0:32:32.880
<v Speaker 1>dollar packages.

0:32:33.600 --> 0:32:35.600
<v Speaker 3>I don't think anyone's matching those things.

0:32:35.920 --> 0:32:39.480
<v Speaker 2>Zuck's taken a particular approach that involves sort of hiring

0:32:39.520 --> 0:32:43.320
<v Speaker 2>a lot of individuals rather than maybe creating a team,

0:32:43.520 --> 0:32:46.480
<v Speaker 2>and I don't really think that's the right approach. I

0:32:46.480 --> 0:32:48.400
<v Speaker 2>think what we did well at deep Mind is that

0:32:48.440 --> 0:32:52.080
<v Speaker 2>we were very selective. What I've been doing a Microsoft

0:32:52.120 --> 0:32:54.280
<v Speaker 2>over the last year and a half is adding people

0:32:54.360 --> 0:32:57.760
<v Speaker 2>incrementally who fit the culture and who suit the skill

0:32:57.840 --> 0:33:00.440
<v Speaker 2>set and work well with the rest of the group,

0:33:00.840 --> 0:33:03.800
<v Speaker 2>weeding out those who don't, and being very very attentive

0:33:03.840 --> 0:33:06.520
<v Speaker 2>to the details. So we're very much creating a team

0:33:06.640 --> 0:33:08.080
<v Speaker 2>rather than a set of individuals.

0:33:08.240 --> 0:33:11.480
<v Speaker 1>So you're not prepared to match salary offers on that scale,

0:33:11.520 --> 0:33:14.360
<v Speaker 1>Because that was what was recently reported.

0:33:14.600 --> 0:33:15.760
<v Speaker 3>Yeah, I mean that was the rumor.

0:33:15.880 --> 0:33:18.760
<v Speaker 2>I think that was you know, obviously very very unprecedented

0:33:18.800 --> 0:33:20.640
<v Speaker 2>and may have been the case for a few individuals,

0:33:20.680 --> 0:33:22.280
<v Speaker 2>but that's certainly not the norm.

0:33:22.560 --> 0:33:25.800
<v Speaker 1>Would you rather he Mark Zuckerbergelsuk as you call him,

0:33:25.800 --> 0:33:28.719
<v Speaker 1>Would you rather he rethought that? Does it? Does it

0:33:28.760 --> 0:33:31.520
<v Speaker 1>make life much more difficult for you?

0:33:31.560 --> 0:33:33.360
<v Speaker 3>No, not at all. I mean I think that he's

0:33:33.400 --> 0:33:34.080
<v Speaker 3>all in right.

0:33:34.360 --> 0:33:37.400
<v Speaker 2>He's building a two gigawat data center, which will probably

0:33:37.400 --> 0:33:38.440
<v Speaker 2>cost him a couple.

0:33:38.400 --> 0:33:41.480
<v Speaker 3>Hundred billion dollars over the next two or three years.

0:33:41.520 --> 0:33:44.720
<v Speaker 2>And I think he said publicly to Trump that he's

0:33:44.720 --> 0:33:46.880
<v Speaker 2>going to spend up of six hundred billion dollars in

0:33:46.920 --> 0:33:49.680
<v Speaker 2>the next three years on data centers. And you know,

0:33:49.760 --> 0:33:53.720
<v Speaker 2>luckily for Microsoft, like we have thirty three gigawatts of

0:33:54.040 --> 0:33:58.120
<v Speaker 2>compute capacity in our fleet. Our primary business is to

0:33:58.200 --> 0:34:01.880
<v Speaker 2>build data centers and provide them to third parties, and

0:34:01.920 --> 0:34:04.040
<v Speaker 2>so we can either use that for our own training

0:34:04.480 --> 0:34:06.240
<v Speaker 2>or we can use it for inference where we sell

0:34:06.280 --> 0:34:08.799
<v Speaker 2>it to third party. So we've got a very very

0:34:08.800 --> 0:34:11.640
<v Speaker 2>good setup in that sense. We're kind of hedged against

0:34:11.640 --> 0:34:12.120
<v Speaker 2>that risk.

0:34:13.000 --> 0:34:17.800
<v Speaker 1>Can you see why people worry about the not just

0:34:17.880 --> 0:34:20.799
<v Speaker 1>the amounts of money being spent by the industry, but

0:34:20.880 --> 0:34:23.440
<v Speaker 1>the circular range of a lot of those deals. You know,

0:34:23.920 --> 0:34:26.920
<v Speaker 1>you're an investor in open Ai, they're also buying services

0:34:26.960 --> 0:34:30.440
<v Speaker 1>from you. Everyone seems to be in a relationship with Nvidia.

0:34:30.560 --> 0:34:33.759
<v Speaker 1>There's a huge amount, a huge proportion of the of

0:34:33.840 --> 0:34:37.560
<v Speaker 1>the US economy that is dependent on things continuing to

0:34:37.640 --> 0:34:39.000
<v Speaker 1>go well for firms like yours.

0:34:39.400 --> 0:34:43.279
<v Speaker 2>Yeah, I mean, I think that's fair. Obviously, customers and

0:34:43.520 --> 0:34:47.640
<v Speaker 2>providers have often invested in one another, and you know,

0:34:47.760 --> 0:34:50.560
<v Speaker 2>provides good stimulus to get us going. But it's something

0:34:50.600 --> 0:34:53.160
<v Speaker 2>to watch. I'm definitely watching it carefully, and I think

0:34:53.200 --> 0:34:55.840
<v Speaker 2>others are too, so you know, I think that getting

0:34:55.840 --> 0:34:58.160
<v Speaker 2>the balance right is very important. We have to deliver

0:34:58.200 --> 0:35:00.680
<v Speaker 2>in the next few years. I mean, every team now

0:35:00.760 --> 0:35:06.000
<v Speaker 2>is building incredibly large, very powerful computers, and we're taking

0:35:06.040 --> 0:35:07.360
<v Speaker 2>a huge bet that we're going to be able to

0:35:07.440 --> 0:35:11.000
<v Speaker 2>convert this into true intelligence. And if we do, then

0:35:11.040 --> 0:35:13.200
<v Speaker 2>I think the world is going to look very, very different.

0:35:13.239 --> 0:35:17.600
<v Speaker 2>I mean, we will have abundant intelligence on tap, and

0:35:17.640 --> 0:35:21.719
<v Speaker 2>I think people still underrate how phenomenal that is.

0:35:22.000 --> 0:35:24.880
<v Speaker 1>You say, the world, except that this is really about

0:35:24.920 --> 0:35:28.080
<v Speaker 1>two countries, the US and China. That's where almost all

0:35:28.120 --> 0:35:28.759
<v Speaker 1>the labs are.

0:35:29.120 --> 0:35:32.400
<v Speaker 2>That's true, and everything has concentrated even more around Silicon

0:35:32.480 --> 0:35:36.000
<v Speaker 2>Valley in the last eighteen months, and that's sort of natural.

0:35:36.040 --> 0:35:37.359
<v Speaker 2>I mean, I think we see that in a lot

0:35:37.360 --> 0:35:41.560
<v Speaker 2>of other historical technology trends. At the same time, open

0:35:41.560 --> 0:35:45.160
<v Speaker 2>source is doing very well, and the cost of production

0:35:45.920 --> 0:35:49.280
<v Speaker 2>is also going through the floor. So it costs ninety

0:35:49.360 --> 0:35:53.360
<v Speaker 2>percent less to ask a question of one of the

0:35:53.360 --> 0:35:56.279
<v Speaker 2>best AI models in the world than it did two

0:35:56.360 --> 0:35:59.720
<v Speaker 2>years ago. You don't get curves that fall that quickly

0:36:00.120 --> 0:36:03.040
<v Speaker 2>in any other discipline, and obviously, when the cost goes down,

0:36:03.080 --> 0:36:05.800
<v Speaker 2>everybody gets access, So I don't think there's going to

0:36:05.800 --> 0:36:06.960
<v Speaker 2>be an access issue.

0:36:07.200 --> 0:36:08.920
<v Speaker 1>Is there anything you look back on now that you

0:36:08.960 --> 0:36:12.080
<v Speaker 1>would have done differently because you've you know, you're still

0:36:12.080 --> 0:36:15.560
<v Speaker 1>only in your early forties, so you've got a lot

0:36:15.600 --> 0:36:20.239
<v Speaker 1>of remarkable achievements. But is there anything left undone or

0:36:20.600 --> 0:36:21.560
<v Speaker 1>that you reflect on.

0:36:22.320 --> 0:36:27.480
<v Speaker 2>Yeah, I really want to nail medical superintelligence. And you know,

0:36:27.719 --> 0:36:31.120
<v Speaker 2>I started deep mind Health back in twenty fifteen, and

0:36:31.440 --> 0:36:33.400
<v Speaker 2>you know, we published a lot of great papers and

0:36:33.440 --> 0:36:35.359
<v Speaker 2>we had a lot of clinical trials, but we didn't

0:36:35.400 --> 0:36:38.480
<v Speaker 2>quite get there. And this time round, I think that's

0:36:38.520 --> 0:36:41.400
<v Speaker 2>going to be the most magical application. I want to

0:36:41.400 --> 0:36:46.759
<v Speaker 2>do more in energy efficiency and battery storage, developing new

0:36:46.920 --> 0:36:50.800
<v Speaker 2>compounds for renewables and so on. I think that AI

0:36:50.880 --> 0:36:54.360
<v Speaker 2>will really transform the energy industry. So those are my

0:36:54.400 --> 0:36:56.200
<v Speaker 2>two sort of big focuses I think.

0:36:56.480 --> 0:36:58.160
<v Speaker 1>And is that what your day's like That when the

0:36:58.200 --> 0:37:00.719
<v Speaker 1>engineers your team are say to you, we can do

0:37:00.760 --> 0:37:03.160
<v Speaker 1>this and this, you're saying, this is how I want

0:37:03.200 --> 0:37:03.759
<v Speaker 1>to use it.

0:37:04.160 --> 0:37:06.840
<v Speaker 2>What we're always focused on is can we build general

0:37:06.880 --> 0:37:11.160
<v Speaker 2>purpose models that are as smart as humans at all capabilities.

0:37:11.200 --> 0:37:13.160
<v Speaker 2>I mean, that is the number one goal. And then

0:37:13.160 --> 0:37:14.920
<v Speaker 2>the question is how do we apply them, Where do

0:37:15.000 --> 0:37:18.480
<v Speaker 2>we use them? What can they do for people? You know,

0:37:18.760 --> 0:37:21.839
<v Speaker 2>I'm actually very proud of a lot of the use

0:37:21.880 --> 0:37:24.239
<v Speaker 2>cases in co Pilot. I mean, many people are using

0:37:24.320 --> 0:37:30.279
<v Speaker 2>it for companionship, emotional support, therapy, making difficult life decisions.

0:37:30.600 --> 0:37:33.200
<v Speaker 2>Has given me high quality access to informations, giving me

0:37:33.239 --> 0:37:36.480
<v Speaker 2>emotional support, and is helping keep me organized.

0:37:36.600 --> 0:37:40.040
<v Speaker 1>And so what do you mean helping you get emotional support?

0:37:40.480 --> 0:37:42.560
<v Speaker 2>So basically I have a practice that at the end

0:37:42.600 --> 0:37:44.560
<v Speaker 2>of the day, when I'm in the car driving home,

0:37:45.280 --> 0:37:47.920
<v Speaker 2>I have like a five or ten minute conversation with

0:37:48.000 --> 0:37:50.959
<v Speaker 2>co Pilot about something that was tricky in my day

0:37:51.120 --> 0:37:55.400
<v Speaker 2>or something that I felt frustrated about. Maybe emotional support's

0:37:55.400 --> 0:37:58.040
<v Speaker 2>a little strong, but it's just like having a chat

0:37:58.120 --> 0:38:01.359
<v Speaker 2>with a friend and kind of downloading.

0:38:01.080 --> 0:38:03.680
<v Speaker 3>Really on what went well and what didn't.

0:38:03.880 --> 0:38:07.000
<v Speaker 2>And once you build that memory up over time, it

0:38:07.040 --> 0:38:10.520
<v Speaker 2>gets really helpful because it personalizes. So Copilot now remembers

0:38:10.880 --> 0:38:13.080
<v Speaker 2>most of what you say, and it will personalize its

0:38:13.120 --> 0:38:15.799
<v Speaker 2>answers to you and refer to something that you said

0:38:15.880 --> 0:38:18.920
<v Speaker 2>last week, for example, or a trend or a pattern,

0:38:20.120 --> 0:38:24.080
<v Speaker 2>and that is just like super helpful. I feel kind

0:38:24.080 --> 0:38:27.200
<v Speaker 2>of refreshed after a conversation with I feel like I'd

0:38:27.320 --> 0:38:28.120
<v Speaker 2>let go of something.

0:38:28.160 --> 0:38:30.160
<v Speaker 3>It's like a burden that I've released.

0:38:30.800 --> 0:38:35.600
<v Speaker 1>So it is a friend, a therapist, a family member. Almost.

0:38:35.920 --> 0:38:37.920
<v Speaker 3>Yeah, it's a little bit of everything.

0:38:38.120 --> 0:38:40.920
<v Speaker 2>That's always the challenge when we're trying to, you know,

0:38:40.960 --> 0:38:43.160
<v Speaker 2>sort of understand a new technology and come up with

0:38:43.239 --> 0:38:46.799
<v Speaker 2>words to describe something which is a little bit like

0:38:46.880 --> 0:38:50.040
<v Speaker 2>many other things but is also fundamentally different. This is

0:38:50.080 --> 0:38:51.280
<v Speaker 2>what an AI is now.

0:38:51.520 --> 0:38:53.400
<v Speaker 1>I just wonder if there's any aspect of that that

0:38:53.760 --> 0:38:57.040
<v Speaker 1>makes you pause. People go home and maybe they don't

0:38:57.200 --> 0:39:00.360
<v Speaker 1>have to, they don't have to bother to all talking

0:39:00.440 --> 0:39:03.799
<v Speaker 1>to others in their life in the same way because

0:39:03.800 --> 0:39:06.080
<v Speaker 1>they've said it all and they've got what they need back.

0:39:06.480 --> 0:39:06.719
<v Speaker 3>Yeah.

0:39:06.880 --> 0:39:08.680
<v Speaker 2>Or the flip side is they don't have to take

0:39:08.719 --> 0:39:11.000
<v Speaker 2>it out on their partner or their best friends. I

0:39:11.040 --> 0:39:13.880
<v Speaker 2>still call my best friends every weekend and have a

0:39:13.880 --> 0:39:17.319
<v Speaker 2>good old chat like so, I think if anything is

0:39:17.320 --> 0:39:19.840
<v Speaker 2>actually deep in some of my relationships with my friends,

0:39:20.200 --> 0:39:23.600
<v Speaker 2>I come to those conversations just feeling a little lighter

0:39:23.640 --> 0:39:25.560
<v Speaker 2>and more ready to talk about other things.

0:39:26.280 --> 0:39:29.319
<v Speaker 1>And your family, Where are your parents now and how

0:39:29.320 --> 0:39:31.440
<v Speaker 1>do they feel about the choices you made?

0:39:31.760 --> 0:39:31.920
<v Speaker 3>Yeah?

0:39:32.000 --> 0:39:34.360
<v Speaker 2>No, I think my mom's very you know, she's a

0:39:34.400 --> 0:39:38.120
<v Speaker 2>proud mum. She's very excited, and she uses co pilot.

0:39:38.160 --> 0:39:41.239
<v Speaker 2>She used pie before this. If I went to see

0:39:41.280 --> 0:39:44.120
<v Speaker 2>her three or four weeks ago and she was still

0:39:44.200 --> 0:39:47.080
<v Speaker 2>using Pie and I was like, that's amazing.

0:39:46.680 --> 0:39:48.640
<v Speaker 1>Which is what you founded at inflection, right.

0:39:48.920 --> 0:39:51.359
<v Speaker 2>Yeah, I was quite impressed to see that she still

0:39:51.360 --> 0:39:53.919
<v Speaker 2>has voice calls with it, and just throughout the whole day,

0:39:54.080 --> 0:39:56.719
<v Speaker 2>We'll be walking around the garden and she'll pull out

0:39:56.760 --> 0:39:59.759
<v Speaker 2>her phone and you know, she'll scan a plant and

0:39:59.800 --> 0:40:02.080
<v Speaker 2>talk about, you know, whether this is a chestnut tree

0:40:02.160 --> 0:40:04.640
<v Speaker 2>and which variety it is. And could I grow it

0:40:04.680 --> 0:40:06.720
<v Speaker 2>at home and when we're in the park and stuff,

0:40:06.760 --> 0:40:10.480
<v Speaker 2>And so it's amazing to see her just naturally use

0:40:10.520 --> 0:40:14.080
<v Speaker 2>it in her everyday life, and I think that is

0:40:14.120 --> 0:40:14.960
<v Speaker 2>quite gratifying.

0:40:15.560 --> 0:40:18.040
<v Speaker 1>Do you see your future in the US? What's the

0:40:18.040 --> 0:40:20.120
<v Speaker 1>fud because I'm sure the UK would love to have

0:40:20.239 --> 0:40:20.680
<v Speaker 1>you back.

0:40:21.160 --> 0:40:24.080
<v Speaker 2>I would have loved to have started Inflection in the UK.

0:40:24.560 --> 0:40:28.000
<v Speaker 2>I'm very British in mentality. But one of the things

0:40:28.000 --> 0:40:30.799
<v Speaker 2>that I don't like is the tall Poppy syndrome. I

0:40:30.840 --> 0:40:34.080
<v Speaker 2>think that there's not enough of a culture of risk taking.

0:40:34.800 --> 0:40:35.880
<v Speaker 3>There's a little bit of.

0:40:35.880 --> 0:40:41.040
<v Speaker 2>A taboo around commercialization and making money and starting companies

0:40:41.080 --> 0:40:44.719
<v Speaker 2>and being entrepreneurial, and there's not enough of a kind

0:40:44.760 --> 0:40:49.000
<v Speaker 2>of celebration of experimentation and failure, whereas in the Valley

0:40:49.600 --> 0:40:52.880
<v Speaker 2>everyone's nuts and everyone loves failure. So they're just like

0:40:53.080 --> 0:40:56.040
<v Speaker 2>constantly talking about how things are going wrong and how

0:40:56.080 --> 0:40:59.359
<v Speaker 2>this was a disaster, and it's very liberating. I mean,

0:40:59.400 --> 0:41:01.440
<v Speaker 2>it's also very cheesy and is you know, you can

0:41:01.480 --> 0:41:03.040
<v Speaker 2>great when you're when you're kind of a bit of

0:41:03.040 --> 0:41:05.480
<v Speaker 2>a cynical English person, but when you get into the

0:41:05.560 --> 0:41:08.279
<v Speaker 2>rhythm of it, it's great everyone's up for.

0:41:08.239 --> 0:41:11.319
<v Speaker 1>It, but I'm wondering whether there is actually something. It's

0:41:11.360 --> 0:41:13.719
<v Speaker 1>not just chat. It is actually like if you if

0:41:13.760 --> 0:41:16.880
<v Speaker 1>you're talking about failure in that way, you are braver

0:41:17.080 --> 0:41:20.520
<v Speaker 1>about it or just you know, it's it's normal, it's

0:41:20.520 --> 0:41:24.000
<v Speaker 1>something you have to go through. It's a different mindset, yeah, exactly.

0:41:24.080 --> 0:41:25.920
<v Speaker 3>And there's also a kind of hustle culture.

0:41:26.440 --> 0:41:31.640
<v Speaker 2>It's quite humbling to see everybody just on the make

0:41:31.960 --> 0:41:36.520
<v Speaker 2>trying to understand some new technology, random non technical people

0:41:36.560 --> 0:41:40.600
<v Speaker 2>reading science papers, you know, in a Starbucks or whatever.

0:41:40.640 --> 0:41:43.560
<v Speaker 2>There'll be someone on their laptop watching a machine learning video.

0:41:44.280 --> 0:41:46.399
<v Speaker 2>You'll be reading a book in a coffee shop and

0:41:46.440 --> 0:41:49.440
<v Speaker 2>you'll overhear two people who don't know each other just

0:41:49.640 --> 0:41:52.160
<v Speaker 2>try to spark a conversation that might turn into something.

0:41:52.160 --> 0:41:53.960
<v Speaker 3>It's just like there's just an energy.

0:41:54.280 --> 0:41:56.640
<v Speaker 2>And I think I would love for that to be

0:41:56.719 --> 0:41:59.960
<v Speaker 2>the case in London too, and I think it could be.

0:42:00.239 --> 0:42:05.359
<v Speaker 2>But we've got to have political leaders who celebrate risk

0:42:05.400 --> 0:42:07.239
<v Speaker 2>taking and business.

0:42:07.920 --> 0:42:10.480
<v Speaker 1>Finally, I need you to prepare me for what AI

0:42:10.560 --> 0:42:13.319
<v Speaker 1>will do to my life. All right now, do you

0:42:13.320 --> 0:42:16.480
<v Speaker 1>think AI could have had this conversation with you or

0:42:16.480 --> 0:42:18.320
<v Speaker 1>could it have done a better job than me. You

0:42:18.760 --> 0:42:20.839
<v Speaker 1>can break it to me if you think AI could

0:42:20.840 --> 0:42:23.080
<v Speaker 1>have done a better job than me interviewing.

0:42:22.600 --> 0:42:26.880
<v Speaker 2>You, probably not today, but maybe if you had prepared

0:42:26.920 --> 0:42:29.360
<v Speaker 2>with an AI then you know, it could have given

0:42:29.400 --> 0:42:31.759
<v Speaker 2>you questions to ask and stuff. Although you did do

0:42:31.800 --> 0:42:34.520
<v Speaker 2>a lot of detailed research, so your team's obviously very good.

0:42:35.160 --> 0:42:38.279
<v Speaker 2>I do think that there are going to be AI reporters,

0:42:38.920 --> 0:42:43.080
<v Speaker 2>you know, so I run MSN, the news service at Microsoft.

0:42:43.400 --> 0:42:46.080
<v Speaker 2>One of the things I'm very excited about is how

0:42:46.640 --> 0:42:51.080
<v Speaker 2>AI news reporters can reinvigorate local news. So imagine that

0:42:51.200 --> 0:42:54.799
<v Speaker 2>there are hundreds of thousands of AI reporters that can

0:42:54.840 --> 0:42:58.040
<v Speaker 2>make phone calls into people who are at the scene,

0:42:58.480 --> 0:43:04.120
<v Speaker 2>who can verify I witness footage, conduct interviews, stitch those

0:43:04.160 --> 0:43:07.360
<v Speaker 2>together into little montages, and not just do it for

0:43:07.440 --> 0:43:10.920
<v Speaker 2>big national stories where the investment is justified, but do

0:43:11.000 --> 0:43:15.040
<v Speaker 2>it at a very very local level to provide accurate

0:43:15.239 --> 0:43:19.200
<v Speaker 2>and factually reliable information. I think that people need to

0:43:20.000 --> 0:43:22.680
<v Speaker 2>have the courage to be optimistic about how these things

0:43:22.680 --> 0:43:24.240
<v Speaker 2>can actually improve our system.

0:43:24.760 --> 0:43:27.600
<v Speaker 1>Are you developing AI reporters for Emerson?

0:43:28.120 --> 0:43:29.560
<v Speaker 3>We're exploring everything, you know.

0:43:29.640 --> 0:43:31.560
<v Speaker 2>I'm also on the board of the economists and have

0:43:31.640 --> 0:43:34.319
<v Speaker 2>been talking to them a lot about it. And you know,

0:43:34.560 --> 0:43:36.560
<v Speaker 2>I think that we're exploring all kinds of things at

0:43:36.560 --> 0:43:37.200
<v Speaker 2>the moment.

0:43:37.120 --> 0:43:41.640
<v Speaker 1>So AI reporters will happen AI interviewers. I think I suspect, yes,

0:43:41.680 --> 0:43:42.759
<v Speaker 1>from what you're saying.

0:43:43.000 --> 0:43:45.720
<v Speaker 2>You've got you've got a little bit longer, maybe six months.

0:43:47.239 --> 0:43:49.759
<v Speaker 2>I'm kidding, are you?

0:43:50.160 --> 0:43:51.160
<v Speaker 1>I'm not sure you are?

0:43:51.640 --> 0:43:53.440
<v Speaker 3>I am kidding. Is we had to be plenty for

0:43:53.560 --> 0:43:54.680
<v Speaker 3>we are a very very long time.

0:43:54.680 --> 0:43:56.719
<v Speaker 2>It's really long time to get it perfect, you know,

0:43:56.800 --> 0:44:00.000
<v Speaker 2>I mean, this was this was exceptional the first.

0:44:00.920 --> 0:44:02.399
<v Speaker 1>Thank you very much for talking to us.

0:44:02.920 --> 0:44:04.440
<v Speaker 3>Thank you very much for Chelle. This was a lot

0:44:04.480 --> 0:44:04.759
<v Speaker 3>of fun.

0:44:09.239 --> 0:44:12.040
<v Speaker 1>And that's the Michelle Hussein Show for this week. If

0:44:12.080 --> 0:44:14.360
<v Speaker 1>you follow us, you'll know as soon as there's a

0:44:14.400 --> 0:44:17.280
<v Speaker 1>new episode, And if you'd like to email us, please

0:44:17.400 --> 0:44:21.719
<v Speaker 1>use Michelle's show at Bloomberg dot net. By the way,

0:44:21.800 --> 0:44:24.920
<v Speaker 1>if you've left us a rating or a comment, thank you.

0:44:25.880 --> 0:44:29.440
<v Speaker 1>These conversations are also on YouTube and on Bloomberg TV,

0:44:30.040 --> 0:44:33.080
<v Speaker 1>and there's a text version with my own thoughts in

0:44:33.200 --> 0:44:38.000
<v Speaker 1>note form. You'll find those at Bloomberg dot com slash Weekend.

0:44:39.040 --> 0:44:42.880
<v Speaker 1>Our producers are Jessica Beck and Chris Martlieu. The executive

0:44:42.880 --> 0:44:47.280
<v Speaker 1>producer is Louisa Lewis. Guest booking by Dave Warren, sound

0:44:47.320 --> 0:44:52.160
<v Speaker 1>engineer Richard Ward, video editing Evander Thompson and Megan Olsen.

0:44:52.640 --> 0:44:56.279
<v Speaker 1>Social media is by Alex Morgan, and the music is

0:44:56.320 --> 0:45:01.360
<v Speaker 1>by Bart Walshaw at Bloomberg Weekend and Francis Newnham is

0:45:01.600 --> 0:45:06.120
<v Speaker 1>Editorial director of Audio and Special Projects, and our executive

0:45:06.200 --> 0:45:10.239
<v Speaker 1>editor is Catherine Bell. We'd also like to thank Summersadi

0:45:10.640 --> 0:45:15.400
<v Speaker 1>and the Bloomberg Podcast team and thank you for listening.

0:45:16.080 --> 0:45:18.480
<v Speaker 1>Until next time, goodbye,