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<v Speaker 1>I wanted to try to build something useful, but I

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<v Speaker 1>didn't think I would build anything particularly great. You've said,

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<v Speaker 1>probabilistically it seemed unlikely, but I wouldn't to at least try.

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<v Speaker 2>So you're talking to a room full of people who

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<v Speaker 2>are all technical engineers, often some of the most eminent

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<v Speaker 2>AI researchers coming up in the game.

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<v Speaker 3>Okay, I I think we should. I think I like

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<v Speaker 3>the term engineer better than researcher.

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<v Speaker 1>I suppose that if there's some fundamental algorithmic breakthrough, it's

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<v Speaker 1>a research Otherwise it's engineering.

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<v Speaker 2>Maybe let's start way back when you were This is

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<v Speaker 2>a room full of eighteen to twenty five year olds.

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<v Speaker 2>Excuse younger, because the founder set is younger and younger.

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<v Speaker 4>Can you put yourself back into their shoes?

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<v Speaker 2>When you were eighteen nineteen learning to code, even coming

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<v Speaker 2>up with a first idea for ZIP too, What was

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<v Speaker 2>that like for you?

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<v Speaker 3>Yeah?

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<v Speaker 1>Back in ninety five, I was basically choice of either

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<v Speaker 1>do Grass studies PhD a Stanford and material science actually

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<v Speaker 1>working on ultra capacities for potentially use in electric vehicles,

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<v Speaker 1>essentially trying to solve the range problem for electric vehicles,

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<v Speaker 1>or try to do something in this thing that most

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<v Speaker 1>people have never heard of called the Internet. And I

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<v Speaker 1>talked to my professor, was Bill Nicks in the material

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<v Speaker 1>science problement, and I said, can I defer for a

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<v Speaker 1>quarter because this will probably fail and then I'll need

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<v Speaker 1>to come back to college. And then he said, this

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<v Speaker 1>is probably the last conversation we'll have, and he was right.

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<v Speaker 1>But I thought things would most likely failed, not that

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<v Speaker 1>they would most likely succeed.

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<v Speaker 3>And then in.

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<v Speaker 1>Ninety five I wrote, basically, I think the first or

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<v Speaker 1>close to the first maps, directions, Internet, white pages and

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<v Speaker 1>yellow pages on the Internet. I just wrote that personally,

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<v Speaker 1>and I didn't even use website, but I just read

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<v Speaker 1>the boot directly because I couldn't afford and I could

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<v Speaker 1>afford a t one. The original office was on Firman

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<v Speaker 1>Avenue in Palelto. There was like an ISP on the

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<v Speaker 1>floor below. I rolled a hole through the floor and

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<v Speaker 1>just ran a land cable directly to the ISP, and

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<v Speaker 1>my brother joined me and another co founder of Greg Curry,

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<v Speaker 1>who passed away. And at the time we couldn't even

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<v Speaker 1>afford a place to stay, so we just The office

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<v Speaker 1>was five hunred bucks a months, so we just left

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<v Speaker 1>in the office and then shouted the YMCA on page

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<v Speaker 1>mill and al communo and yeah, and I guess we

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<v Speaker 1>ended up doing a little bit of a useful company

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<v Speaker 1>was up to in the beginning, and I did build

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<v Speaker 1>a lot of really really good software technology, but were

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<v Speaker 1>somewhat captured by the legacy media companies and that night

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<v Speaker 1>rout or New York Times, the host whatnot were investors

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<v Speaker 1>and customers and also on the board. So I kept

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<v Speaker 1>wanting to use software in ways that made no sense.

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<v Speaker 1>So I wanted to go direct to consumers anyway. As

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<v Speaker 1>long story dwelling too much on z up too, But

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<v Speaker 1>I really just wanted to do something useful on the

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<v Speaker 1>Internet because I had two choices, do I PhD and

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<v Speaker 1>watch people build the internet or help build the internet

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<v Speaker 1>in some small way. And I was like, I guess

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<v Speaker 1>I can always try and fail and then go back

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<v Speaker 1>to grass Studies and away.

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<v Speaker 3>That ended up being like reasonably successful.

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<v Speaker 1>It sold for like three hundred million dollars, which is

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<v Speaker 1>a lot at the time these days, that's I think

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<v Speaker 1>the minimum impulse, but for an AI startup is like

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<v Speaker 1>a billion dollars.

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<v Speaker 3>It's like.

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<v Speaker 1>There's so many freaking unicorns. It's like heard of unicorns

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<v Speaker 1>at this point is a billion dollar situation.

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<v Speaker 4>There's been inflation since, so quite a bit more money.

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<v Speaker 1>Yeah, like could probably buy a burger for a nickel.

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<v Speaker 1>Not quite, but yeah, there has been a lot of inflation.

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<v Speaker 1>But at the high level in AI is pretty intense.

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<v Speaker 1>As you've seen companies that are I don't know, less

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<v Speaker 1>than a year old getting sometimes a billion dollar, multi

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<v Speaker 1>billion dollar valuations, which I guess could pan out and

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<v Speaker 1>probably will pan out in some cases, but it is

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<v Speaker 1>I wordering to see some of these valuations.

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<v Speaker 4>Yeah, what do you think, I'm pretty bullish. I'm pretty bullish, honestly, so.

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<v Speaker 2>I think the people in this room are going to

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<v Speaker 2>create a lot of the value that a billion people

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<v Speaker 2>in the world should be using this stuff, and we're

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<v Speaker 2>not even we're scratching the surface of it. I love

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<v Speaker 2>the Internet story in that, even back then, you are

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<v Speaker 2>a lot like the people in this room back then,

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<v Speaker 2>in that you know, the heads of all the CEOs

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<v Speaker 2>of all the legacy media companies look to you as

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<v Speaker 2>the person who understood the Internet, and a lot of

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<v Speaker 2>the world, the corporate world, like the world out large,

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<v Speaker 2>that does not understand what's happening with AI, they're going

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<v Speaker 2>to look to the people in this room for exactly that.

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<v Speaker 4>It sounds like, what are some of the tangible lessons.

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<v Speaker 2>It sounds like one of them is don't give up

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<v Speaker 2>board control or be careful about have a really good lawyer.

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<v Speaker 1>Well, I guess, well, the first my first thought of

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<v Speaker 1>the big really the mistake was having too much shareholder

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<v Speaker 1>and board control from legacy media companies who then necessarily

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<v Speaker 1>see things through the lens of legacy media, and that

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<v Speaker 1>they'll make you do things that seems sense full to

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<v Speaker 1>them but aren't really don't make sense within your technology.

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<v Speaker 1>I know I should point out that I that I

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<v Speaker 1>didn't actually first intend to start a company. I try

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<v Speaker 1>to get a job at Netscape. I SIMI resume to

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<v Speaker 1>Netscape and Mark Kandrison knows about this, but I don't

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<v Speaker 1>think you gave us a myristhume. And then nobody responded.

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<v Speaker 1>And then I tried hanging out in the lobby of

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<v Speaker 1>Netscape see if I could like bump into someone, but

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<v Speaker 1>I was like too shy to talk to anyone. So

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<v Speaker 1>I'm like, man, this is ridiculous. So I'll just write

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<v Speaker 1>sof for myself and see how it goes. So it

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<v Speaker 1>wasn't actually from the stand point, if I want to

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<v Speaker 1>start a company, I just want to be part of

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<v Speaker 1>building the Internet in some way. And since I couldn't

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<v Speaker 1>get a job at an area company, I had to

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<v Speaker 1>start a in area company anyway. The AI will so

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<v Speaker 1>profoundly change the future, it's difficult to fathom how much.

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<v Speaker 1>But at the economy is, assuming we don't things don't

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<v Speaker 1>go awry, and like AI doesn't kill us all in itself,

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<v Speaker 1>then you'll see ultimately an economy that is not ten

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<v Speaker 1>times more than the current economy. Ultimately, if we become

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<v Speaker 1>say or whatever, our future machine descendants, or but mostly

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<v Speaker 1>machine descendants become like a ship scale to civilization or beyond,

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<v Speaker 1>we're talking about an economy that is thousands of times,

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<v Speaker 1>maybe millions of times bigger than the economy today. Yeah,

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<v Speaker 1>I did feel a bit like when I was in

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<v Speaker 1>DC taking a lot of flag from getting rid of

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<v Speaker 1>waste and fraud, which is an interesting side quest as

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<v Speaker 1>side quests go.

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<v Speaker 4>But I've got to get back to the main quest.

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<v Speaker 1>Yeah, i gotta get back to the main quest here,

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<v Speaker 1>So back to the main quest. But I did feel

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<v Speaker 1>a little bit like this. It's like fixing the government.

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<v Speaker 1>It's kind of say, the beach is dirty and there's

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<v Speaker 1>some needles and vcs and like trash, and you want

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<v Speaker 1>to clean up the beach. But then there's also this

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<v Speaker 1>like thousand foot wool of water, which is tsunami of AI.

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<v Speaker 1>And how much does cleaning the beach really matter if

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<v Speaker 1>you got a thousand foot tsunami about to hit.

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<v Speaker 3>Not that much.

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<v Speaker 2>Oh well, we're glad you're back on the main quest.

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<v Speaker 2>It's very important.

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<v Speaker 1>Yeah, back to the may quest. Building technology, which is

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<v Speaker 1>what I like doing. It's just so much noise like this.

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<v Speaker 1>The single noise ratio in politics is terrible.

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<v Speaker 4>I live in San Francisco, so you don't need to

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<v Speaker 4>tell me twice.

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<v Speaker 3>Yeah, DC's I guess it's all politics in DC.

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<v Speaker 1>But the if you're trying to build a rocket or cars,

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<v Speaker 1>or you're trying to have software that compiles and runs reliably,

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<v Speaker 1>then you have to be maximally true seeking or your

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<v Speaker 1>software or your hardware won't work like you can't full

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<v Speaker 1>like math and physics are rigorous judges. So I'm used

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<v Speaker 1>to being in a maximally true seeking environment and that's

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<v Speaker 1>definitely not politics. So I'm good, glad to be back

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<v Speaker 1>in technology.

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<v Speaker 2>I guess I'm curious going back to the zip to moment,

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<v Speaker 2>you had hundreds of millions of dollars or you had

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<v Speaker 2>to exit a worth millions of dollars.

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<v Speaker 3>I got twenty million dollars, right.

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<v Speaker 2>Okay, so you solved the money problem at least, and

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<v Speaker 2>you basically took it and you rolled. You kept rolling

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<v Speaker 2>with X dot Com, which in PayPal and Confinity.

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<v Speaker 3>Yes, I kept the chips on the table.

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<v Speaker 4>Yeah, so not everyone does that.

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<v Speaker 2>A lot of the people in this room will have

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<v Speaker 2>to make that decision. Actually, what drove you to jump

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<v Speaker 2>back into the ring?

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<v Speaker 3>O Thay?

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<v Speaker 1>I felt for Up too. We'd both like incredible technology

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<v Speaker 1>but never really got used. I think, at least from

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<v Speaker 1>my perspective, we had better technology than say Yahoo or

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<v Speaker 1>anyone else, but it was constrained by our customers. And

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<v Speaker 1>so I wanted to do something that where okay, we

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<v Speaker 1>wouldn't be constrained by our customers, go direct consumer. And

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<v Speaker 1>that's what ended up being like X dot Com PayPal,

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<v Speaker 1>essentially X dot Com merging with Confinity, which together created PayPal,

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<v Speaker 1>and then that actually the sort of PayPal Diespora has it.

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<v Speaker 1>It might have created more companies then so more companies

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<v Speaker 1>than probaly any anything in the twenty first century, so

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<v Speaker 1>many talented people were at the combination of Confinity X

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<v Speaker 1>dot com. So I just wanted to, like I felt,

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<v Speaker 1>we got our wings clift somewhat with ZIP two, and

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<v Speaker 1>it's okay, what if our wings are clipped and we

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<v Speaker 1>go direct to consumer and that's what PayPal ended up being.

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<v Speaker 1>But yeah, with I got that twenty million dollar check

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<v Speaker 1>for my share of ZIP two. At the time, I

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<v Speaker 1>was living in a house with four housemates, and I

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<v Speaker 1>had a ten grand in the bank, and then this

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<v Speaker 1>check arrived in the mail, of all places in the mail,

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<v Speaker 1>and then now then my bank bounce went from ten

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<v Speaker 1>to twenty million and ten thousand. Okay, seluck to pay

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<v Speaker 1>taxes on that at all. But then I ended up

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<v Speaker 1>putting almost all of that into x dot com and

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<v Speaker 1>as you said, just keeping almost all the chips on

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<v Speaker 1>the table.

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<v Speaker 3>And yeah, and then after PayPal was like, I was

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<v Speaker 3>curious as to.

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<v Speaker 1>Why we had not sent anyone to Mars, and I

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<v Speaker 1>went on the NASA website to find out when we're

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<v Speaker 1>sending people tomorrow, and there was no date. I thought,

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<v Speaker 1>maybe it's just hard to find on the website, but

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<v Speaker 1>in fact, there was no real plan to send people

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<v Speaker 1>to Mars. So then I've come to this is such

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<v Speaker 1>a long story, so I don't want to take up

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<v Speaker 1>too much time here, but I.

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<v Speaker 4>Think we're all listening with rapt attention.

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<v Speaker 3>So I was.

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<v Speaker 1>Actually I was on the long end of Expressway with

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<v Speaker 1>my friend day O Ressi. We were like housemates in college,

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<v Speaker 1>and Daa was asking me what I'm what we're gonna do?

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<v Speaker 1>What am I gonna do after a PayPal and I

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<v Speaker 1>was like, I don't know. I guess maybe I'd like

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<v Speaker 1>to do something philanthropic in space, because I didn't think

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<v Speaker 1>I could actually do anything commotional in space because that

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<v Speaker 1>seemed like the purview of nations. But I'm curious as

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<v Speaker 1>to when we're gonna send people to Mars. And that's

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<v Speaker 1>when I was like, oh, it's not on the website,

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<v Speaker 1>and I started digging. There's nothing on the NAST website.

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<v Speaker 1>So then I started digging in and I'm definitely summarizing.

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<v Speaker 3>A lot here.

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<v Speaker 1>But my first idea was to do a philanthropic mission

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<v Speaker 1>to Mars, Cooled Life to Mars, where would send a

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<v Speaker 1>small greenhouse with CS and dehydrated nutrient gael Land out

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<v Speaker 1>our mosque and grow hydrate the jel and then you

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<v Speaker 1>have this great sort of money shot of green plants

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<v Speaker 1>on a red background. For the longest time, I by

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<v Speaker 1>the way, I didn't realize money shot. I think is

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<v Speaker 1>a porn reference. But anyway, the point is that would

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<v Speaker 1>be the great shot of green plants on a red background,

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<v Speaker 1>and to try to inspire a NASA and the public

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<v Speaker 1>to Santa astronauts to Mars. As I learned more, I

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<v Speaker 1>came to realize along the way. By the way, I

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<v Speaker 1>went to Russia in two thousand and one and two

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<v Speaker 1>thousand and two to buy ICBMs, which is that's an

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<v Speaker 1>adventure where you go and meet with Russian high command

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<v Speaker 1>and say I'd like to buy some ICBMs.

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<v Speaker 4>This was to get to space, yeah, as a rocket, not.

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<v Speaker 1>To nuke anyone, but they had to as a result

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<v Speaker 1>of armstroduction talks. They had to actually destroy a bunch

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<v Speaker 1>of their big nuclear missiles. So I was like, how

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<v Speaker 1>about if we take two of those minus the luke

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<v Speaker 1>added an additional opper stage for Mars.

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<v Speaker 3>But it was trippy.

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<v Speaker 1>Being in Moscow in one of two thousand and one

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<v Speaker 1>negotiating with the Russian military to buy icvms, like that's crazy,

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<v Speaker 1>but the kept also raising the price on me, so

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<v Speaker 1>that so literally it's like the opposite of what a

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<v Speaker 1>negotiation to do. So I was like, man, these things

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<v Speaker 1>are getting really expensive. And then I came to realize

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<v Speaker 1>that actually the problem was not that there was insufficient

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<v Speaker 1>will to go to Mars, but there was no way

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<v Speaker 1>to do without breaking the budget, or even breaking the

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<v Speaker 1>NASA budget. So that's where I decided to start SpaceX's

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<v Speaker 1>SpaceX to advance rocket technology to the point where we

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<v Speaker 1>could send people to Mars.

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<v Speaker 3>And that was in two thousand and two.

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<v Speaker 2>So that wasn't But you didn't start out wanting to

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<v Speaker 2>start a business. You wanted to start just something that

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<v Speaker 2>was interesting to you that you thought humanity needed, and

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<v Speaker 2>then as you kat pulling on a string, it just

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<v Speaker 2>the ball sort of unravels and it turns out this

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<v Speaker 2>is could be a very profitable business.

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<v Speaker 1>It is now, but it there had been no prior

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<v Speaker 1>example of really a rocket startup succeeding, but there have

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<v Speaker 1>been various attempts to do commercial rocket companies, and the

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<v Speaker 1>whole failed again with SpaceX starting. SpaceX was really from

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<v Speaker 1>the standpoint of I think there's a less than ten

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<v Speaker 1>percent chance of being successful, maybe one percent, I don't know.

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<v Speaker 1>But if a startup doesn't do something to advance rocket technology,

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<v Speaker 1>it's definitely not coming from the big defense contractors because

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<v Speaker 1>they just impedance smashed to the government, and the government

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<v Speaker 1>just wants to do very conventional things. So it's either

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<v Speaker 1>coming from a startup where it's not happening at all.

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<v Speaker 1>So like a small chance of success is better than

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<v Speaker 1>no chance of success, and so that yeah, so SpaceX

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<v Speaker 1>start that in mid two thousand and two expecting to fail,

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<v Speaker 1>like I said, probably ninety percent chance of failing. And

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<v Speaker 1>even like when recruiting people, I didn't try to make

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<v Speaker 1>out that it would I said, we're probably going to die,

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<v Speaker 1>but a small.

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<v Speaker 3>Chance we might not die.

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<v Speaker 1>But this is the only way to get people to

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<v Speaker 1>Mars and advanced the state of the art. And then

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<v Speaker 1>I ended up being chief engineer of the rocket, not

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<v Speaker 1>because I wanted to, but because I couldn't hire anyone

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<v Speaker 1>who was good, So like none of the good sort

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<v Speaker 1>of chief engineers would join because it's like this is

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<v Speaker 1>too risky, you were going to die. And so then

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<v Speaker 1>I ended up being chief engineer of the rocket, and

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<v Speaker 1>the first three flights did fail, so it's a bit

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<v Speaker 1>of a learning exercise there, and fourth one fortunately worked.

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<v Speaker 1>But if the fourth one hadn't worked, I had no

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<v Speaker 1>money left and that would have been it would have

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<v Speaker 1>been curtained. So it was a pretty close thing. If

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<v Speaker 1>the fourth launch of a Falcon not work, it would

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<v Speaker 1>have been just curtains and we would have just been

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<v Speaker 1>joined the graveyard of prior rocket startups. So it's like

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<v Speaker 1>my estimate of success was not far off. We'd just

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<v Speaker 1>be made it by the skin of our teeth. And

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<v Speaker 1>Tesla was happening simultaneously, Like two thousand and eight was

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<v Speaker 1>a rough year because at mid two thousand and eight

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00:14:56.519 --> 00:14:59.000
<v Speaker 1>were called Summer two thousand and eight, the third launch

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<v Speaker 1>of Spacexit failed, a third failure in a row. The

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<v Speaker 1>Tesla financing round had failed, and so Telsa was going

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<v Speaker 1>bankrupt fast. It was just, man, this is a grim.

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<v Speaker 1>This is going to be a tale of warning of

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<v Speaker 1>an exercise in hubris.

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<v Speaker 2>Probably throughout that period a lot of people were saying,

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<v Speaker 2>Elon is a software guy, Why are you working on hardware?

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<v Speaker 4>Why would you yeah, why would he choose to work

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<v Speaker 4>on this.

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<v Speaker 1>Harp said, so you can look at the because they're

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<v Speaker 1>still the press of that time is still online. You

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<v Speaker 1>could just search it. And they kept calling the Internet guy.

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<v Speaker 1>So Internet Guy aka.

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<v Speaker 3>Fool is attempting to build a rocket company that we

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<v Speaker 3>got ridiculed quite a lot.

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<v Speaker 1>And it does sound pretty absurd, like internet guy starts

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<v Speaker 1>rocket company doesn't sound like a recipe for success, frankly,

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<v Speaker 1>so I didn't hold against them. I was like, yeah,

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<v Speaker 1>admittedly it does sound improbable, and I agree that it's improbable.

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<v Speaker 1>But fortunately the fourth launch worked and a NASSA ordered

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<v Speaker 1>us a contract supply the space station. And I think

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<v Speaker 1>that was like maybe December twenty second or it was

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<v Speaker 1>it like right before Christmas. Because even the fourth launch

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<v Speaker 1>working wasn't enough to succeed, NASA also needed we also

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<v Speaker 1>needed a big contract to keep us life. So I

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<v Speaker 1>got that call from like the NASA team and I

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<v Speaker 1>literally they said, we're rewarding you one of the contracts

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<v Speaker 1>to re supply the space station. I like literally blurred

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<v Speaker 1>it out, I love you guys, which is not normally

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<v Speaker 1>what they hear because it's usually pretty sober. But I

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<v Speaker 1>was like, man, this is a company saver and then

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<v Speaker 1>we closed the Tesla financing round on the last hour

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<v Speaker 1>of the last day that it was possible, which was

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<v Speaker 1>six pm December twenty fourth, two thousand and eight. We

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<v Speaker 1>would have bounced payroll two days after Christmas if that

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<v Speaker 1>round hadn't closed. So that was a nerve racking end

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<v Speaker 1>of two thousand and eight, that's for sure.

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<v Speaker 2>I guess from your PayPal and zip two experience jumping

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<v Speaker 2>into these hardcore hardware startups, it feels like one of

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<v Speaker 2>the through lines was being able to find and eventually

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<v Speaker 2>attract the smartest possible people in those particular fields. What

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<v Speaker 2>would the people in this room like some of the

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<v Speaker 2>most of the people here I don't think have even

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<v Speaker 2>managed a single person yet, they're just starting their careers.

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<v Speaker 2>What would you tell to the elon who's never had

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<v Speaker 2>to do that yet.

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<v Speaker 1>I generally think to try to be as useful as possible.

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<v Speaker 1>It may sound try, but it's so hard to be useful,

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<v Speaker 1>especially to be useful to a lot of people. Where

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<v Speaker 1>you say, the area under the cove of total utility

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<v Speaker 1>is like how much how useful have you been to

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<v Speaker 1>your fela human beings? Times how many people? It's almost

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<v Speaker 1>like the physics definition of true work. It's incredibly difficult

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<v Speaker 1>to do that. And I think if you're aspire to

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<v Speaker 1>do true work, your probably success is much higher. Don't

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<v Speaker 1>aspire to glory, aspire to work.

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<v Speaker 2>How can you tell that it's true work? Is it external?

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<v Speaker 2>Is it like what happens with other people or what

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<v Speaker 2>the product does for people? Like what is that for you?

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<v Speaker 2>When you're looking for people come work for you? What's

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<v Speaker 2>the salient thing that you look for or if they're

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<v Speaker 2>certain question?

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<v Speaker 1>I guess it's in terms of if you're in product,

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<v Speaker 1>you just have to say, if this thing is successful,

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<v Speaker 1>how useful will it be to how many people? And

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<v Speaker 1>that's what I mean. And then you do you do whatever,

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<v Speaker 1>whether you're CEO or any role in a startup, you

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<v Speaker 1>do whatever it takes to succeed, and just always be

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<v Speaker 1>smash smashing your ego like internalized responsibility like a major

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<v Speaker 1>failure mode is when ego to ability ratio is double

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<v Speaker 1>graded than sign one. If you if your ego to

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<v Speaker 1>ability ratio is it gets too high, then you're going

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<v Speaker 1>to basically break the feedback loop to reality. And in

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<v Speaker 1>in a it terms, your your er you'll have you'll

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<v Speaker 1>break your RL loop so you want you want to

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<v Speaker 1>don't want to break your art. You want to have

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<v Speaker 1>a strong r L loop, which means internalizing responsibility and

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<v Speaker 1>minimizing ego, and you do whatever the task is, no

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<v Speaker 1>matter whether it's grand or humble. That's like what I

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<v Speaker 1>actually I prefer the term like engineering as opposed to research.

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<v Speaker 1>I prefer the term and I don't actually don't want

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<v Speaker 1>it to call XAI lab.

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<v Speaker 3>I just want to be a company.

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<v Speaker 1>Like It's like, what of the simplest, more straightforward, ideally

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<v Speaker 1>lowest that ego terms are that those are generally a

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<v Speaker 1>good way to go. You want you want to just

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00:19:14.759 --> 00:19:17.960
<v Speaker 1>close the loop on reality hard that's a super big deal.

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<v Speaker 2>I think everyone in this room is really looks up

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<v Speaker 2>to everything you've done around being a paragon of first

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<v Speaker 2>principles and thinking about the stuff you've done. How do

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<v Speaker 2>you actually determine your reality because that seems like a

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<v Speaker 2>pretty big part of it.

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<v Speaker 4>Like other people who have never made.

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<v Speaker 2>Anything, non engineers, sometimes journalists at time who've never done

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<v Speaker 2>anything like they will criticize you. But then clearly you

399
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<v Speaker 2>have another set of people who are builders, who have

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00:19:48.279 --> 00:19:51.359
<v Speaker 2>very high area under the curve, who are in your

401
00:19:51.359 --> 00:19:54.279
<v Speaker 2>circle how should people approach that? What has worked for you?

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00:19:54.359 --> 00:19:57.920
<v Speaker 2>And what would you pass on to X to your children?

403
00:19:58.000 --> 00:20:00.480
<v Speaker 2>What do you tell them when you're like, you need

404
00:20:00.519 --> 00:20:03.039
<v Speaker 2>to make your way in this world? Here's how to

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<v Speaker 2>construct a reality. It is predictive from first principles.

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<v Speaker 1>The tools of physics are incredibly helpful to understand and

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<v Speaker 1>make progress in any field. The first principles means just obviously,

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<v Speaker 1>just means breakings down to the fundamental axiomatic elements that

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<v Speaker 1>are most likely to be true, and then reason up

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<v Speaker 1>from there as cosionally as possible, as opposed to reasoning

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<v Speaker 1>by analysis or metaphor. And then it just simple things

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<v Speaker 1>like thinking in the limit if you extrapolate, minimize this

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<v Speaker 1>thing or maximize that thing. Thinking in the limit is

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<v Speaker 1>very helpful. I use all the tools of physics. They

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<v Speaker 1>apply to any field. This is like a superpower. Actually,

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<v Speaker 1>so you can take, say, take an example like rockets.

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<v Speaker 1>You can say how much should a rocket cost? A

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<v Speaker 1>typical approach to how to that people would take to

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<v Speaker 1>how much rocket should cost is they would look historically

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<v Speaker 1>at what the cost of rockets are and assume that

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<v Speaker 1>any new rocket must be somewhat similar to the prior

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<v Speaker 1>cost of rockets. A first principle's approach would be you

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<v Speaker 1>look at the materials that the rocket is comprised of,

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<v Speaker 1>so if that's aluminium, copper, combon, fiber, steel, whatever the

425
00:21:05.519 --> 00:21:08.759
<v Speaker 1>case may be, and say what what how much does

426
00:21:08.759 --> 00:21:11.000
<v Speaker 1>that rocket weigh, and what are the constituent elements and

427
00:21:11.000 --> 00:21:13.400
<v Speaker 1>how much do they weigh? What is the material price

428
00:21:13.480 --> 00:21:16.759
<v Speaker 1>per kilogram of those constituent elements. In that sense the

429
00:21:16.799 --> 00:21:20.599
<v Speaker 1>actual floor on what a rocket can cost. It can

430
00:21:20.640 --> 00:21:24.440
<v Speaker 1>asymptotically approach the cost of the row materials and then

431
00:21:24.480 --> 00:21:27.039
<v Speaker 1>you realize, oh, actually a rocket, the row materials of

432
00:21:27.079 --> 00:21:29.720
<v Speaker 1>a rocket are only maybe one or two percent of

433
00:21:29.839 --> 00:21:34.240
<v Speaker 1>the historical cost of a rocket, so the manufacturing must

434
00:21:34.359 --> 00:21:38.720
<v Speaker 1>necessarily be very inefficient if the if the row material

435
00:21:38.759 --> 00:21:40.680
<v Speaker 1>cost is only one or two percent. However, you have

436
00:21:40.720 --> 00:21:44.319
<v Speaker 1>first principles analysis of the potential for the cost for

437
00:21:44.759 --> 00:21:46.240
<v Speaker 1>cost optimization of a rocket.

438
00:21:46.400 --> 00:21:48.079
<v Speaker 3>And that's before you get to reusability.

439
00:21:48.599 --> 00:21:51.319
<v Speaker 1>To give an AI sort of AI example last year

440
00:21:51.359 --> 00:21:54.119
<v Speaker 1>went for x CI when we were trying to build

441
00:21:54.359 --> 00:21:58.799
<v Speaker 1>a training supercluster. We went to the various suppliers to

442
00:21:58.880 --> 00:22:02.799
<v Speaker 1>ask said, this is the beginning of last year that

443
00:22:02.880 --> 00:22:05.119
<v Speaker 1>we needed one hundred thousand, eighth one hundreds to be

444
00:22:05.160 --> 00:22:09.440
<v Speaker 1>able to train coherently. And there are estimates for how

445
00:22:09.440 --> 00:22:11.480
<v Speaker 1>long it would take to complete that were eighteen to

446
00:22:11.519 --> 00:22:14.119
<v Speaker 1>twenty four months, so we need to get that done

447
00:22:14.119 --> 00:22:18.240
<v Speaker 1>in six months so then or we won't be competitive.

448
00:22:18.599 --> 00:22:20.759
<v Speaker 1>So then if you break that down, what are the

449
00:22:20.799 --> 00:22:23.240
<v Speaker 1>things you need? We need a building, you need power,

450
00:22:23.279 --> 00:22:27.000
<v Speaker 1>you need cooling. We didn't have enough time to build

451
00:22:27.000 --> 00:22:29.480
<v Speaker 1>a building from scratch, so we've had to find existing building.

452
00:22:29.519 --> 00:22:31.920
<v Speaker 1>So we found a factory that was no longer in

453
00:22:32.039 --> 00:22:36.079
<v Speaker 1>use in Memphis that used to build electrolytes products. But

454
00:22:36.119 --> 00:22:38.720
<v Speaker 1>then the input power was fifteen megawats and we needed

455
00:22:38.720 --> 00:22:42.200
<v Speaker 1>one hundred and fifteen megawats. We read the generators and

456
00:22:42.279 --> 00:22:44.400
<v Speaker 1>had generators on one side of the building, and then

457
00:22:44.440 --> 00:22:46.160
<v Speaker 1>we have to have cooling, so we rented about a

458
00:22:46.200 --> 00:22:48.079
<v Speaker 1>quarter of the mobile cooling capacity of the US and

459
00:22:48.119 --> 00:22:49.960
<v Speaker 1>put the chillers on the other side of the building.

460
00:22:50.599 --> 00:22:52.599
<v Speaker 1>But that didn't fully solve the problem because the volta

461
00:22:53.000 --> 00:22:56.759
<v Speaker 1>the power variations during training are very big, so you

462
00:22:56.759 --> 00:22:59.680
<v Speaker 1>can have power can drop by fifty percent in a

463
00:22:59.720 --> 00:23:02.480
<v Speaker 1>hundred most seconds, which the generators can't keep up with.

464
00:23:02.519 --> 00:23:06.400
<v Speaker 1>So then we added Tesla megapacks and modified the software

465
00:23:06.400 --> 00:23:08.200
<v Speaker 1>in the megapacks to be able to just mooth out

466
00:23:08.680 --> 00:23:11.839
<v Speaker 1>the power variation during the training run. And then there

467
00:23:11.839 --> 00:23:15.480
<v Speaker 1>were a bunch of networking challenges. Is the networking cables.

468
00:23:15.759 --> 00:23:18.599
<v Speaker 1>If you're trying to make one hundred thousand GPUs training

469
00:23:18.640 --> 00:23:19.920
<v Speaker 1>coherently of very challenging.

470
00:23:20.160 --> 00:23:22.519
<v Speaker 2>Almost it sounds almost any of those things you mentioned.

471
00:23:22.880 --> 00:23:26.640
<v Speaker 2>I could imagine someone telling you very directly, no, you

472
00:23:26.680 --> 00:23:29.079
<v Speaker 2>can't have that, you can't have that power, you can't

473
00:23:29.119 --> 00:23:31.599
<v Speaker 2>have this. And it sounds like one of the salient

474
00:23:31.640 --> 00:23:35.559
<v Speaker 2>pieces of first principles thinking is actually, let's ask why,

475
00:23:35.720 --> 00:23:39.079
<v Speaker 2>let's figure that out, and actually let's challenge the person

476
00:23:39.240 --> 00:23:42.640
<v Speaker 2>across the table and they If I don't get an

477
00:23:42.680 --> 00:23:45.559
<v Speaker 2>answer that I feel good about, I'm going to not

478
00:23:45.680 --> 00:23:46.559
<v Speaker 2>allow that to be.

479
00:23:46.839 --> 00:23:49.039
<v Speaker 4>I'm not going to let that know to stand. Is

480
00:23:49.079 --> 00:23:49.920
<v Speaker 4>that that feels like.

481
00:23:49.880 --> 00:23:53.960
<v Speaker 2>Something that everyone, if someone were to try to do

482
00:23:54.039 --> 00:23:56.960
<v Speaker 2>what you're doing in hardware, seems to uniquely need this.

483
00:23:57.319 --> 00:24:00.680
<v Speaker 2>In software, we have lots of fluff things that it's

484
00:24:00.680 --> 00:24:03.720
<v Speaker 2>like we can add more CPUs for that, it'll be fine,

485
00:24:03.799 --> 00:24:05.759
<v Speaker 2>But in hardware it's just not going to work.

486
00:24:06.279 --> 00:24:09.519
<v Speaker 3>I think these general principles of first principle thinking apply

487
00:24:09.640 --> 00:24:11.880
<v Speaker 3>to software and hardware apply to anything. Really.

488
00:24:12.319 --> 00:24:15.440
<v Speaker 1>I'm just using a hardware example of how we were

489
00:24:15.480 --> 00:24:17.759
<v Speaker 1>told something is impossible. But once we broke it down

490
00:24:17.839 --> 00:24:20.240
<v Speaker 1>into the constituent elements of we need a building, we

491
00:24:20.279 --> 00:24:23.359
<v Speaker 1>need power, we need cooling, we need we need power smoothing,

492
00:24:23.680 --> 00:24:26.920
<v Speaker 1>and then we could solve those constituent elements. But and

493
00:24:26.920 --> 00:24:29.839
<v Speaker 1>then we just ran the networking operation to do all

494
00:24:29.880 --> 00:24:32.839
<v Speaker 1>the cabling everything in four shifts twenty four to seven,

495
00:24:33.279 --> 00:24:35.680
<v Speaker 1>and I was like sleeping the data center and also

496
00:24:35.720 --> 00:24:38.200
<v Speaker 1>doing cabling myself, and there were a lot of other

497
00:24:38.279 --> 00:24:40.960
<v Speaker 1>issues to solve. Nobody had done a training runt with

498
00:24:41.000 --> 00:24:45.039
<v Speaker 1>one hundred thousand, h one hundreds training coherently last year.

499
00:24:45.200 --> 00:24:46.920
<v Speaker 3>I mean maybe it's been done this year. I don't know.

500
00:24:47.480 --> 00:24:48.759
<v Speaker 3>And then we ended up doubling that.

501
00:24:48.960 --> 00:24:51.920
<v Speaker 1>To two hundred thousand, and so now we've got one

502
00:24:52.000 --> 00:24:54.240
<v Speaker 1>hundred and fifty thousand, h one hundred fifty k H

503
00:24:54.319 --> 00:24:58.640
<v Speaker 1>two hundreds and thirty k GB two hundreds in the

504
00:24:58.799 --> 00:25:02.160
<v Speaker 1>Memphis training cent and we're about to bring one hundred

505
00:25:02.160 --> 00:25:05.440
<v Speaker 1>and ten thousand GB two hundreds online at a second

506
00:25:05.519 --> 00:25:07.240
<v Speaker 1>data center, also in Memphis.

507
00:25:07.240 --> 00:25:07.519
<v Speaker 3>Area.

508
00:25:08.200 --> 00:25:10.240
<v Speaker 2>Is it your view that pre training is still working

509
00:25:10.920 --> 00:25:16.160
<v Speaker 2>and larger the scaling laws still hold, and whoever wins

510
00:25:16.400 --> 00:25:19.920
<v Speaker 2>this race will have basically the biggest, smartest possible model

511
00:25:19.960 --> 00:25:22.000
<v Speaker 2>that you could distill.

512
00:25:22.000 --> 00:25:27.119
<v Speaker 1>There's other various elements that side competitiveness for large AI

513
00:25:27.799 --> 00:25:31.519
<v Speaker 1>is for sure, the talent of the people matter. The

514
00:25:31.599 --> 00:25:34.400
<v Speaker 1>scale of the hardware matters, and how well you're able

515
00:25:34.440 --> 00:25:36.279
<v Speaker 1>to bring that hardware to bear. So you can't just

516
00:25:36.400 --> 00:25:39.680
<v Speaker 1>order a whole bunch of GPUs and they don't. You

517
00:25:39.680 --> 00:25:42.160
<v Speaker 1>can't just plug them in, So you've got to get

518
00:25:42.200 --> 00:25:45.519
<v Speaker 1>a lot of gps and have them training coherently and stably.

519
00:25:46.599 --> 00:25:49.000
<v Speaker 1>Then it's what unique access to data do you have.

520
00:25:49.480 --> 00:25:52.400
<v Speaker 1>I guess distribution matters to some degree as well, like

521
00:25:52.440 --> 00:25:54.519
<v Speaker 1>how do people get exposed to your AI? Those are

522
00:25:54.559 --> 00:25:57.039
<v Speaker 1>those are critical pactores for if it's going to be

523
00:25:57.079 --> 00:26:01.119
<v Speaker 1>like a large foundation model as competitive as many have said.

524
00:26:01.119 --> 00:26:04.240
<v Speaker 1>I think my friend eliasit Skier said, we would run

525
00:26:04.279 --> 00:26:07.559
<v Speaker 1>out of pre training data of human generated Like human

526
00:26:07.599 --> 00:26:11.160
<v Speaker 1>generated data, you run out of tokens pretty fast, certainly

527
00:26:11.160 --> 00:26:15.279
<v Speaker 1>of high quality tokens, and then you have to do

528
00:26:16.720 --> 00:26:20.079
<v Speaker 1>a lot of You need to essentially create synthetic data

529
00:26:20.680 --> 00:26:23.079
<v Speaker 1>and be able to accurately judge the synthetic data that

530
00:26:23.119 --> 00:26:26.319
<v Speaker 1>you're creating to like, is this real synthetic data? Well,

531
00:26:26.400 --> 00:26:31.200
<v Speaker 1>is it an hallucination that doesn't actually mash reality? So

532
00:26:31.240 --> 00:26:33.440
<v Speaker 1>achieving grounding and reality is tricky, but we are at

533
00:26:33.480 --> 00:26:38.200
<v Speaker 1>the stage where there's more effort put into synthetic data.

534
00:26:39.119 --> 00:26:42.279
<v Speaker 1>Right now, we're training Grock three point five, which is

535
00:26:42.319 --> 00:26:43.839
<v Speaker 1>a heavy focus on reasoning.

536
00:26:44.279 --> 00:26:46.240
<v Speaker 2>Going back to your physics point, what I heard for

537
00:26:46.400 --> 00:26:50.920
<v Speaker 2>reasoning is that hard science, particularly physics textbooks, are very

538
00:26:51.000 --> 00:26:54.319
<v Speaker 2>useful for reasoning, whereas I think researchers have told me

539
00:26:54.400 --> 00:26:57.519
<v Speaker 2>that social science is totally useless for reasoning.

540
00:26:58.920 --> 00:27:01.440
<v Speaker 3>Yes, that's probably true.

541
00:27:01.720 --> 00:27:04.839
<v Speaker 1>So yeah, there's something that's going to be very important

542
00:27:04.839 --> 00:27:09.319
<v Speaker 1>in the future is combining deep AI in the data

543
00:27:09.319 --> 00:27:14.839
<v Speaker 1>center of Supercluster with robotics. So that's things like the

544
00:27:14.839 --> 00:27:18.640
<v Speaker 1>Optimius humanoid robot, and yeah, Optimist is awesome. There's going

545
00:27:18.680 --> 00:27:21.480
<v Speaker 1>to be so many humanoid robots and robots of all

546
00:27:21.480 --> 00:27:23.799
<v Speaker 1>sizes and shapes. But my prediction is that there will

547
00:27:23.799 --> 00:27:27.359
<v Speaker 1>be more humanoid robots by far than all other robots

548
00:27:27.359 --> 00:27:31.039
<v Speaker 1>combined by maybe an order of magnitude, like a big difference,

549
00:27:31.839 --> 00:27:32.839
<v Speaker 1>and is it true that.

550
00:27:32.839 --> 00:27:34.759
<v Speaker 4>You we're planning a robot army of.

551
00:27:34.720 --> 00:27:38.640
<v Speaker 1>The sort, whether we do it or whether the Tesla

552
00:27:38.680 --> 00:27:42.119
<v Speaker 1>does it, because it works closely with XAI. You've seen

553
00:27:42.119 --> 00:27:44.519
<v Speaker 1>how many humanoid robot startups are there. It's I think

554
00:27:44.599 --> 00:27:48.720
<v Speaker 1>Jensen bongs on stage with a lot with a massive

555
00:27:48.799 --> 00:27:52.599
<v Speaker 1>number of robots, robots from different companies. I think it

556
00:27:52.680 --> 00:27:57.160
<v Speaker 1>was like a dozen different humanoid robots. I guess part

557
00:27:57.200 --> 00:27:59.440
<v Speaker 1>of what I've been fighting and maybe what has slowed

558
00:27:59.440 --> 00:28:02.079
<v Speaker 1>me down somewhat that I'm a little I don't want

559
00:28:02.079 --> 00:28:07.279
<v Speaker 1>to make Terminator real, you know, So I I guess,

560
00:28:07.920 --> 00:28:11.359
<v Speaker 1>at least until recent years, dragging my feet on on

561
00:28:11.480 --> 00:28:15.279
<v Speaker 1>AI and humanoid robotics, and then I come to realize

562
00:28:15.319 --> 00:28:16.920
<v Speaker 1>that realization it's happening.

563
00:28:16.599 --> 00:28:19.880
<v Speaker 3>Whether I do it or not. So you got really

564
00:28:19.920 --> 00:28:21.240
<v Speaker 3>two choices participate.

565
00:28:21.440 --> 00:28:24.440
<v Speaker 1>You could either be a spectator or a participant, And

566
00:28:24.519 --> 00:28:27.000
<v Speaker 1>so I guess I'd rather be a participant than a spectator.

567
00:28:28.079 --> 00:28:30.880
<v Speaker 1>So now it's pedal to the metal on humanoid robots

568
00:28:30.920 --> 00:28:32.559
<v Speaker 1>and digital superintelligence.

569
00:28:33.279 --> 00:28:35.559
<v Speaker 2>So I guess there's a third thing that everyone has

570
00:28:35.599 --> 00:28:37.440
<v Speaker 2>heard you talk a lot about that I'm really a

571
00:28:37.440 --> 00:28:40.160
<v Speaker 2>big fan of becoming a multiplanetary species.

572
00:28:40.640 --> 00:28:41.519
<v Speaker 4>Where does this fit?

573
00:28:41.599 --> 00:28:43.839
<v Speaker 2>This is all not just a ten or twenty year thing,

574
00:28:43.880 --> 00:28:46.640
<v Speaker 2>maybe one hundred year thing, like it's a multi many

575
00:28:46.680 --> 00:28:48.720
<v Speaker 2>generations for humanity kind of thing.

576
00:28:49.400 --> 00:28:50.440
<v Speaker 4>How do you think about it?

577
00:28:50.519 --> 00:28:55.119
<v Speaker 2>There's AI obviously, there's embodied robotics, and then there's being

578
00:28:55.160 --> 00:28:59.240
<v Speaker 2>a multiplant, multiplanetary species. Does everything feed into that last

579
00:28:59.279 --> 00:29:02.000
<v Speaker 2>point or what are you driven by right now for

580
00:29:02.039 --> 00:29:04.240
<v Speaker 2>the next ten to twenty one hundred years?

581
00:29:04.759 --> 00:29:07.640
<v Speaker 1>Jeez, one hundred years, man. I hope civilizations around in

582
00:29:07.680 --> 00:29:10.240
<v Speaker 1>one hundred years. If it is around, it's going to

583
00:29:10.240 --> 00:29:13.960
<v Speaker 1>look very different from civilization today. Not predict that this

584
00:29:14.680 --> 00:29:18.240
<v Speaker 1>going to be at least five times as many humanoid

585
00:29:18.319 --> 00:29:22.799
<v Speaker 1>robots as there are humans, maybe ten times. One way

586
00:29:22.799 --> 00:29:26.519
<v Speaker 1>to look at the progress of civilization is percentage completion Kardaschev.

587
00:29:27.279 --> 00:29:29.960
<v Speaker 1>So if you're in a kars Chef scale one, you've

588
00:29:30.440 --> 00:29:33.240
<v Speaker 1>you've honessed all the energy of a planet. Now, in

589
00:29:33.240 --> 00:29:36.400
<v Speaker 1>my opinion, we've only honested maybe one or two percent

590
00:29:36.680 --> 00:29:39.440
<v Speaker 1>of Earth's energy, So we've got a long way to

591
00:29:39.480 --> 00:29:43.559
<v Speaker 1>go to be Kardschev scale one. Then Cardship two you've

592
00:29:43.720 --> 00:29:47.000
<v Speaker 1>honest only energy of the Sun, which would be I

593
00:29:47.000 --> 00:29:50.279
<v Speaker 1>don't know a billion times more energy than Oath, maybe

594
00:29:50.440 --> 00:29:53.519
<v Speaker 1>closer to a trillion, and then Karschev three would be

595
00:29:53.519 --> 00:29:59.160
<v Speaker 1>only energy of a galaxy pretty far from that. So

596
00:29:59.319 --> 00:30:02.480
<v Speaker 1>we're at the very early stage of the intelligence big bang.

597
00:30:03.000 --> 00:30:06.599
<v Speaker 1>I hope we're in terms of being multiplanetary, like I think,

598
00:30:08.440 --> 00:30:12.799
<v Speaker 1>I think we'll have enough mass transferred to Mars within

599
00:30:12.920 --> 00:30:15.880
<v Speaker 1>like roughly thirty years to make Mars self sustaining such

600
00:30:15.920 --> 00:30:19.279
<v Speaker 1>that Mars can continue to grow and prosper even if

601
00:30:19.319 --> 00:30:22.960
<v Speaker 1>the resupply shifts from both stuff coming, and that greatly

602
00:30:23.000 --> 00:30:28.480
<v Speaker 1>increases the probable lifespan of civilization or consciousness and intelligence,

603
00:30:28.799 --> 00:30:33.279
<v Speaker 1>both biological and digital. So that's why I think it's

604
00:30:33.279 --> 00:30:35.000
<v Speaker 1>important to become a multiplanet species.

605
00:30:35.079 --> 00:30:35.880
<v Speaker 3>And I'm so much.

606
00:30:35.720 --> 00:30:38.160
<v Speaker 1>Troubled by the filmy paradox, like why have we not

607
00:30:38.480 --> 00:30:42.640
<v Speaker 1>seen any aliens? And it could be because intelligence is

608
00:30:42.640 --> 00:30:46.720
<v Speaker 1>incredibly rare, and maybe we're the only ones in this galaxy,

609
00:30:47.480 --> 00:30:51.799
<v Speaker 1>in which case the intelligence of consciousness is just the

610
00:30:52.160 --> 00:30:55.440
<v Speaker 1>tiny candle in a vast dokness, and we should do

611
00:30:55.519 --> 00:30:58.759
<v Speaker 1>everything possible to ensure the tiny candle does not go out.

612
00:30:59.559 --> 00:31:04.960
<v Speaker 1>And being a multiplanet species or making consciousness multiplanetary greatly

613
00:31:04.960 --> 00:31:08.400
<v Speaker 1>improves the probable lifespan of civilization, and it's the next

614
00:31:08.440 --> 00:31:12.359
<v Speaker 1>step before going to other star systems. Once you at

615
00:31:12.440 --> 00:31:14.720
<v Speaker 1>least have two planets, then you've got a forcing function

616
00:31:14.799 --> 00:31:18.640
<v Speaker 1>for the improvement of space travel, and that ultimately is

617
00:31:18.680 --> 00:31:22.960
<v Speaker 1>what will lead to consciousness expanding to the stars.

618
00:31:23.559 --> 00:31:26.720
<v Speaker 2>It could be that the Fermi paradox dictates once you

619
00:31:26.759 --> 00:31:29.680
<v Speaker 2>get to some level of technology, you destroy yourself.

620
00:31:29.960 --> 00:31:31.160
<v Speaker 4>How do we see ourselves?

621
00:31:31.279 --> 00:31:35.160
<v Speaker 2>How do we actually what would you prescribe to a

622
00:31:35.240 --> 00:31:37.599
<v Speaker 2>room full of engineers? What can we do to prevent

623
00:31:37.680 --> 00:31:38.559
<v Speaker 2>that from happening?

624
00:31:39.319 --> 00:31:39.480
<v Speaker 3>Yeah?

625
00:31:39.519 --> 00:31:41.960
<v Speaker 1>How do we avoid the great filters? One of the

626
00:31:41.960 --> 00:31:45.400
<v Speaker 1>great filtres would obviously be global thom nuclear war, So

627
00:31:45.440 --> 00:31:49.319
<v Speaker 1>we should try to avoid that. I guess building benign

628
00:31:49.400 --> 00:31:54.920
<v Speaker 1>AI robots that AI that loves humanity, and robots that

629
00:31:54.960 --> 00:31:58.559
<v Speaker 1>are helpful. Something that I think is extremely important in

630
00:31:58.599 --> 00:32:02.599
<v Speaker 1>building AI is a very rigorous adherence to truth, even

631
00:32:02.640 --> 00:32:08.039
<v Speaker 1>if that truth is politically incorrect. My intuition for what

632
00:32:08.200 --> 00:32:12.240
<v Speaker 1>could make AI very dangerous is if you force AI

633
00:32:12.319 --> 00:32:13.680
<v Speaker 1>to believe things that are not true.

634
00:32:14.039 --> 00:32:17.359
<v Speaker 2>How do you think about there's this argument for open

635
00:32:17.400 --> 00:32:20.839
<v Speaker 2>for safety versus closed for competitive edge. I think the

636
00:32:20.880 --> 00:32:23.359
<v Speaker 2>great thing is you have a competitive model. Many other

637
00:32:23.400 --> 00:32:26.839
<v Speaker 2>people also have competitive models, and in that sense we're

638
00:32:26.920 --> 00:32:29.680
<v Speaker 2>off of. Maybe the worst timeline that I'd be worried

639
00:32:29.680 --> 00:32:32.039
<v Speaker 2>about is there's fast takeoff and it's only in one

640
00:32:32.039 --> 00:32:36.839
<v Speaker 2>person's hands that might collapse a lot of things, Whereas

641
00:32:37.200 --> 00:32:39.599
<v Speaker 2>now we have choice, which is great. How do you

642
00:32:39.640 --> 00:32:40.200
<v Speaker 2>think about this?

643
00:32:40.400 --> 00:32:45.599
<v Speaker 1>Yeah, I do think there will be several deep intelligences,

644
00:32:46.000 --> 00:32:49.640
<v Speaker 1>maybe maybe at least five, maybe as much as ten.

645
00:32:50.799 --> 00:32:52.440
<v Speaker 1>I'm not sure that there's going to be hundreds, but

646
00:32:52.480 --> 00:32:54.599
<v Speaker 1>it's probably close. Like maybe there'll be like ten or

647
00:32:54.599 --> 00:32:58.400
<v Speaker 1>something like that, of which maybe four will be in

648
00:32:58.440 --> 00:33:00.519
<v Speaker 1>the US so.

649
00:33:02.920 --> 00:33:03.759
<v Speaker 3>And I don't think it's going.

650
00:33:03.759 --> 00:33:08.839
<v Speaker 1>To be anyone AI that has run away capability. But yeah,

651
00:33:09.119 --> 00:33:10.680
<v Speaker 1>several deep intelligences.

652
00:33:11.119 --> 00:33:14.319
<v Speaker 2>What will these deep intelligences actually be doing? Will it

653
00:33:14.359 --> 00:33:16.759
<v Speaker 2>be scientific research or trying to hack each other?

654
00:33:18.119 --> 00:33:19.160
<v Speaker 3>Probably old of the above.

655
00:33:19.359 --> 00:33:22.359
<v Speaker 1>Hopefully they will discover new physics, and I think they're

656
00:33:22.440 --> 00:33:27.279
<v Speaker 1>very they're definitely going to invent new technologies. I think

657
00:33:27.279 --> 00:33:33.279
<v Speaker 1>we're quite close to digital superintelligence. It may happen this year,

658
00:33:33.480 --> 00:33:35.720
<v Speaker 1>and if it doesn't happen this next year, for sure,

659
00:33:36.319 --> 00:33:40.559
<v Speaker 1>a digital superintelligence to find as smarter than any human

660
00:33:40.640 --> 00:33:42.160
<v Speaker 1>at anything, So.

661
00:33:42.079 --> 00:33:45.119
<v Speaker 2>How do we direct that to super abundance. We could

662
00:33:45.160 --> 00:33:49.559
<v Speaker 2>have robotic labor, we have cheap energy, intelligence on demand.

663
00:33:50.119 --> 00:33:52.400
<v Speaker 2>Is that sort of the white pill? Like, where do

664
00:33:52.440 --> 00:33:55.720
<v Speaker 2>you sit on the spectrum? And are there tangible things

665
00:33:55.759 --> 00:33:59.440
<v Speaker 2>that you would encourage everyone here to be working on

666
00:33:59.599 --> 00:34:01.839
<v Speaker 2>to make that white pill actually reality?

667
00:34:03.839 --> 00:34:07.119
<v Speaker 1>I think it most likely will be a good outcome.

668
00:34:07.839 --> 00:34:10.320
<v Speaker 1>I guess I'd agree with Jeff Hinton that maybe it's

669
00:34:10.320 --> 00:34:13.159
<v Speaker 1>a ten to twenty percent chance of annihilation, but look

670
00:34:13.199 --> 00:34:15.639
<v Speaker 1>on the right side, that's eighty to ninety percent probably

671
00:34:15.760 --> 00:34:20.519
<v Speaker 1>of a great outcome. So yeah, I can't emphasize this enough.

672
00:34:20.599 --> 00:34:24.159
<v Speaker 1>A rigorous adherence to truth. It is the most important

673
00:34:24.159 --> 00:34:29.039
<v Speaker 1>thing for AI safety safety obviously, empathy for humanity and

674
00:34:29.119 --> 00:34:30.000
<v Speaker 1>life as we know it.

675
00:34:30.800 --> 00:34:34.639
<v Speaker 2>We haven't talked about neuralink at all yet, but I'm curious.

676
00:34:34.920 --> 00:34:37.760
<v Speaker 2>You're working on closing the input and output gap between

677
00:34:37.960 --> 00:34:42.800
<v Speaker 2>humans and genes. How critical is that to AI ASI?

678
00:34:42.880 --> 00:34:45.800
<v Speaker 2>And once that link is made, can we not only

679
00:34:45.880 --> 00:34:47.119
<v Speaker 2>read but also write?

680
00:34:47.840 --> 00:34:52.199
<v Speaker 1>The neuralink is not necessary to solve digital superintelligence. That'll

681
00:34:52.239 --> 00:34:58.159
<v Speaker 1>happen before neuralink is at scale, But nor neuralink can

682
00:34:58.199 --> 00:35:02.159
<v Speaker 1>effectively do is solve the input output bandwidth constraints.

683
00:35:02.760 --> 00:35:06.480
<v Speaker 3>Especially our output bandwidth is very low. The out the

684
00:35:06.599 --> 00:35:08.280
<v Speaker 3>sustained output.

685
00:35:08.159 --> 00:35:10.880
<v Speaker 1>Of a human over the course of a day is

686
00:35:10.960 --> 00:35:13.840
<v Speaker 1>less than one but per second, so there's eighty six

687
00:35:14.159 --> 00:35:16.920
<v Speaker 1>four hundred seconds in a day, and it's extremely rare

688
00:35:17.039 --> 00:35:19.239
<v Speaker 1>for a human to output more than that number of

689
00:35:19.280 --> 00:35:22.079
<v Speaker 1>symbols per day, simainly for several days in a row.

690
00:35:22.440 --> 00:35:26.760
<v Speaker 1>So you really within your link interface you can massively

691
00:35:26.800 --> 00:35:30.199
<v Speaker 1>increase your output bandwidth and your input band with input

692
00:35:30.280 --> 00:35:33.280
<v Speaker 1>being right to you have to do right operations to

693
00:35:33.400 --> 00:35:37.920
<v Speaker 1>the brain. We have now five humans who have received

694
00:35:37.920 --> 00:35:42.639
<v Speaker 1>the kind of the read input where it's reading signals,

695
00:35:42.679 --> 00:35:47.000
<v Speaker 1>and you've got people with als who really have their tetraplegics,

696
00:35:47.039 --> 00:35:50.800
<v Speaker 1>but they can now communicate at with a similar bandwidth

697
00:35:50.840 --> 00:35:54.239
<v Speaker 1>to a human with a fully functioning body and control

698
00:35:54.280 --> 00:35:57.599
<v Speaker 1>their computer and the phone, which is pretty cool. And

699
00:35:57.639 --> 00:36:00.400
<v Speaker 1>then I think in the next six to twel months

700
00:36:00.440 --> 00:36:03.559
<v Speaker 1>we will be doing our first implants for vision where

701
00:36:03.760 --> 00:36:06.719
<v Speaker 1>even if somebody is completely blind, we can write directly

702
00:36:06.760 --> 00:36:11.960
<v Speaker 1>to the visual cortex, and we've had that working in monkeys. Actually,

703
00:36:12.039 --> 00:36:14.599
<v Speaker 1>I think one of our monkeys now has had a

704
00:36:14.679 --> 00:36:18.440
<v Speaker 1>visual implant for three years, and at first it'll be

705
00:36:18.480 --> 00:36:21.800
<v Speaker 1>relatively fairly low resolution, but long term you would have

706
00:36:21.880 --> 00:36:26.760
<v Speaker 1>very high resolution and be able to see multi spectral wavelengths.

707
00:36:26.920 --> 00:36:30.599
<v Speaker 1>You could see an infrared ultra violet radar like a

708
00:36:30.639 --> 00:36:34.360
<v Speaker 1>superpower situation, but like at some point the cybernetic implants

709
00:36:34.719 --> 00:36:37.719
<v Speaker 1>would not simply be correcting things that went wrong, but

710
00:36:38.000 --> 00:36:46.280
<v Speaker 1>augmenting human capabilities dramatically, augmenting intelligence and sensors and bandwidth dramatically.

711
00:36:46.440 --> 00:36:48.800
<v Speaker 1>And that's going to happen at some point, but digital

712
00:36:48.800 --> 00:36:52.840
<v Speaker 1>superintelligence will happen well before that. At least if we're

713
00:36:53.440 --> 00:36:57.920
<v Speaker 1>a neur link, we'll be able to appreciate the AI better.

714
00:36:59.079 --> 00:37:01.440
<v Speaker 2>I guess one of the limits reagents to all of

715
00:37:01.440 --> 00:37:05.480
<v Speaker 2>your efforts across all of these different domains is access to.

716
00:37:05.480 --> 00:37:06.880
<v Speaker 4>The smartest possible people.

717
00:37:07.519 --> 00:37:11.840
<v Speaker 2>Yes, simultaneous to that, we have the rocks can talk

718
00:37:11.880 --> 00:37:14.920
<v Speaker 2>and reason, and they're maybe one hundred and thirty IQ now,

719
00:37:14.960 --> 00:37:19.039
<v Speaker 2>and they're probably going to be super intelligent soon. How

720
00:37:19.039 --> 00:37:21.440
<v Speaker 2>do you reconcile those two things. What's going to happen

721
00:37:21.519 --> 00:37:24.079
<v Speaker 2>in five ten years? And what should the people in

722
00:37:24.119 --> 00:37:26.880
<v Speaker 2>this room do to make sure that they're the ones

723
00:37:26.880 --> 00:37:30.159
<v Speaker 2>who are creating instead of maybe below the API line.

724
00:37:31.079 --> 00:37:33.440
<v Speaker 1>They called it the singularity for a reason, because we

725
00:37:33.480 --> 00:37:36.239
<v Speaker 1>don't know what's going to happen in the not that

726
00:37:36.559 --> 00:37:40.079
<v Speaker 1>far future. The percentage of intelligence that is human will

727
00:37:40.079 --> 00:37:43.199
<v Speaker 1>be quite small. At some point, the collective some of

728
00:37:43.280 --> 00:37:46.480
<v Speaker 1>human intelligence will be less than one percent of all intelligence.

729
00:37:48.079 --> 00:37:50.840
<v Speaker 1>And if things get to a clot a ship level two,

730
00:37:51.880 --> 00:37:56.599
<v Speaker 1>we're talking about human intelligence. Even assuming a significant increase

731
00:37:56.599 --> 00:38:03.079
<v Speaker 1>in human population and intelligence augmentation like massive intelligence augmentation

732
00:38:03.119 --> 00:38:05.159
<v Speaker 1>where everyone has an IQ of one thousand type of thing.

733
00:38:05.760 --> 00:38:09.199
<v Speaker 1>Even in that circumstance, collective human intelligence will be probably

734
00:38:09.199 --> 00:38:14.400
<v Speaker 1>one billion that of digital intelligence. Anyway, we're the biological

735
00:38:14.440 --> 00:38:16.400
<v Speaker 1>boot bootloader for digital superintelligence.

736
00:38:17.159 --> 00:38:21.719
<v Speaker 4>I guess just to end off, was I?

737
00:38:22.039 --> 00:38:23.559
<v Speaker 3>It was like, was I a good bootload?

738
00:38:23.639 --> 00:38:25.239
<v Speaker 4>Where do we go? How do we go from here?

739
00:38:25.280 --> 00:38:27.599
<v Speaker 2>All of this is pretty wild sci fi stuff that

740
00:38:27.719 --> 00:38:32.079
<v Speaker 2>also could be built by the people in this room.

741
00:38:32.360 --> 00:38:35.159
<v Speaker 2>But if you do, you have a closing thought for

742
00:38:35.199 --> 00:38:39.719
<v Speaker 2>the smartest technical people of this generation right now? What

743
00:38:39.760 --> 00:38:41.760
<v Speaker 2>should they be doing, what should they be working on?

744
00:38:41.800 --> 00:38:44.079
<v Speaker 2>What should they be thinking about tonight as they go

745
00:38:44.119 --> 00:38:44.599
<v Speaker 2>to dinner?

746
00:38:47.119 --> 00:38:49.000
<v Speaker 1>As I saw a rope with I think if you're

747
00:38:49.000 --> 00:38:52.599
<v Speaker 1>doing something useful, that's great. If you just try to

748
00:38:52.639 --> 00:38:55.079
<v Speaker 1>be as useful as possible to your fellow human beings

749
00:38:55.679 --> 00:38:58.480
<v Speaker 1>and that then you're doing something good. I keep harping

750
00:38:58.480 --> 00:39:02.559
<v Speaker 1>on this, like focus on truthful AI. That's the most

751
00:39:02.559 --> 00:39:06.320
<v Speaker 1>important thing for AI safety. Obviously, if anyone's interested in

752
00:39:06.360 --> 00:39:09.480
<v Speaker 1>working at xailet mean, please let us know. We're aiming

753
00:39:09.519 --> 00:39:13.239
<v Speaker 1>to make GROT the maximumly truth seeking AI, and I

754
00:39:13.280 --> 00:39:16.239
<v Speaker 1>think that's a very important thing. Hopefully we can understand

755
00:39:16.280 --> 00:39:19.599
<v Speaker 1>the nature of the universe, that's really what AI can

756
00:39:20.360 --> 00:39:22.639
<v Speaker 1>hopefully tell us. Maybe AI can maybe tell us where

757
00:39:22.679 --> 00:39:26.440
<v Speaker 1>are the aliens, and how did the universe really start?

758
00:39:26.880 --> 00:39:27.679
<v Speaker 3>How will it end?

759
00:39:28.159 --> 00:39:30.400
<v Speaker 1>What are the questions that we don't know that we

760
00:39:30.400 --> 00:39:35.039
<v Speaker 1>should ask, And are we in a simulation or what

761
00:39:35.119 --> 00:39:35.519
<v Speaker 1>level of.

762
00:39:35.440 --> 00:39:36.440
<v Speaker 3>Similation are we in?

763
00:39:38.440 --> 00:39:43.559
<v Speaker 2>I think we're going to find out. APC, Elon, thank

764
00:39:43.559 --> 00:39:47.400
<v Speaker 2>you so much for joining us. Everyone please give it

765
00:39:47.480 --> 00:39:48.239
<v Speaker 2>up for Elon Mott
