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<v Speaker 1>Elon, Welcome to AI startup School. We're just really really

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<v Speaker 1>blessed to have your presence here today.

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<v Speaker 2>Thanks for having me So.

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<v Speaker 1>From SpaceX, Tesla, Neuralink, XAI, and more. Was there ever

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<v Speaker 1>a moment in your life before all this where you

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<v Speaker 1>felt I have to build something great? And what flipped

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<v Speaker 1>that switch for you? Well?

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<v Speaker 3>I didn't originally think I would build something great. I

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<v Speaker 3>wanted to try to build something useful, but I didn't

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<v Speaker 3>think I would build anything particularly great. You've said, probabilistically

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<v Speaker 3>seemed unlikely, but I wouldn't to at least try.

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<v Speaker 1>So you're talking to a room full of people who

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<v Speaker 1>are all technical engineers, often some of the most eminent

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<v Speaker 1>AI researchers coming up in the game.

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<v Speaker 2>Okay, I I think we should.

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<v Speaker 3>I think I'd like the term engineer better than researcher.

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<v Speaker 3>I mean, I suppose if there's some fundamental algorithmic breakthrough,

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<v Speaker 3>it's a research. Otherwise it's engineering.

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<v Speaker 1>Maybe let's start way back, I mean, when you were

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<v Speaker 1>this is a room full of eighteen to twenty five

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<v Speaker 1>year old excuse younger, because the founder set is younger

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<v Speaker 1>and younger. Can you put yourself back into their shoe?

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<v Speaker 1>When you know, you were eighteen nineteen, you know, learning

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<v Speaker 1>the code, even coming up with this first idea for

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<v Speaker 1>zip too. What was that like for you?

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<v Speaker 2>Yeah?

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<v Speaker 3>Back in ninety five, I was faced with a choice

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<v Speaker 3>of either do you know Grass Studies PhD a Stanford

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<v Speaker 3>in material science actually working on ultra capacities for potential

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<v Speaker 3>use in electric vehicles, essentially trying to solve the range

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<v Speaker 3>problem for electric vehicles, or try to do something in

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<v Speaker 3>this thing that most people have never heard of called

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<v Speaker 3>the Internet. And I talked to my professor was Bill

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<v Speaker 3>Nicks in the material science problement, and said, like, can

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<v Speaker 3>I defer for a quarter because this will probably fail

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<v Speaker 3>and then I'll need to come back to college. And

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<v Speaker 3>then he said this is probably the last conversation we'll have,

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<v Speaker 3>and he was right. So but I thought things would

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<v Speaker 3>most likely fail, not that they would most likely succeed.

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<v Speaker 3>And then in ninety five I wrote basically, I think

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<v Speaker 3>the first or close to the first maps directions, Internet,

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<v Speaker 3>white pages and yellow pages on the Internet. I just

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<v Speaker 3>wrote that. I just wrote that personally, and I didn't

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<v Speaker 3>even use a website. I just read the port directly

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<v Speaker 3>because I couldn't afford h and I could have afforded

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<v Speaker 3>t one. Original office was on Sherman Avenue in pale Alto.

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<v Speaker 3>There was like an I s P on the floor below,

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<v Speaker 3>so I rolled a hole through the floor and just

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<v Speaker 3>ran a land cable directly to the I s P.

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<v Speaker 3>And you know, uh, my brother joined me and another

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<v Speaker 3>co founder of Great Courier who passed away, and we

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<v Speaker 3>at the time we couldn't even afford a place to stay,

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<v Speaker 3>so we just the office was five hundred bucks a months,

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<v Speaker 3>so we just left in the office and and then

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<v Speaker 3>shouted the YMC A on page mill and al communo

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<v Speaker 3>and uh yeah, and we I guess we ended up

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<v Speaker 3>doing a little bit of a useful company as up

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<v Speaker 3>to in the beginning, and we did built a lot

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<v Speaker 3>of really really good software technology, but we were somewhat

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<v Speaker 3>captured by the legacy media companies, and that night Router

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<v Speaker 3>New York Times hearst whatnot were investors and customers and

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<v Speaker 3>and also on the board. So they they kept wanting

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<v Speaker 3>to use our software in ways that made no sense.

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<v Speaker 3>So I wanted to go direct to consumers anyway. As

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<v Speaker 3>long story dwelling too much up too, but I really

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<v Speaker 3>just wanted to do something useful on the Internet because

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<v Speaker 3>I had two choices, like do a PhD and watch

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<v Speaker 3>people build the internet or help build the Internet in

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<v Speaker 3>some small way. And I was like, well, I guess

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<v Speaker 3>I can always try and fail and then go back

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<v Speaker 3>to grad studies. And that ended up being like reasonably successful.

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<v Speaker 3>Sold for like three hundred million dollars, which is a

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<v Speaker 3>lot at the time these days. That's like I think

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<v Speaker 3>minimum impulse, but for an AI startup is like a

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<v Speaker 3>billion dollars. It's like there's so many freaking unicorns. It's

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<v Speaker 3>like heard of unicorns, point of unicorns, a billion dollars situation.

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<v Speaker 1>There's been inflation since, so quite a bit more money.

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<v Speaker 3>Yeah, I mean, like you could probably buy a burger

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<v Speaker 3>for a nickel. Well not quite, but I mean, yeah,

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<v Speaker 3>has been a lot of inflation. But I mean the

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<v Speaker 3>high level of AI is is pretty intense. As you've seen,

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<v Speaker 3>you know, you see companies that are I don't know,

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<v Speaker 3>less than a year old getting sometimes billion dollar, multi

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<v Speaker 3>billion dollar valuations, which I guess could could pan out

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<v Speaker 3>and probably will pan out in some cases, but it

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<v Speaker 3>is I ordering to see some of these valuations.

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<v Speaker 2>Yeah, what do you think.

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<v Speaker 1>I mean, Well, I'm pretty bullish. I'm pretty bullish, honestly, so.

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<v Speaker 1>I think the people in this room are going to

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<v Speaker 1>create a lot of the value that you know, a

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<v Speaker 1>billion people in the world should be using this stuff

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<v Speaker 1>and we're not even we're scratching the surface of it.

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<v Speaker 1>I love the Internet story in that, even back then,

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<v Speaker 1>you know, you are a lot like the people in

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<v Speaker 1>this room back then, in that, you know, the heads

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<v Speaker 1>of all the CEOs of all the legacy media companies

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<v Speaker 1>look to you as the person who understood the Internet,

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<v Speaker 1>and a lot of the world, you know, the corporate world,

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<v Speaker 1>like the world out large that does not understand what's

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<v Speaker 1>happening with AI, they're going to look to the people

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<v Speaker 1>in this room for exactly that. It sounds like, you know,

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<v Speaker 1>what are some of the tangible lessons. It sounds like

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<v Speaker 1>one of them is don't give up board control or

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<v Speaker 1>be careful about have a really good lawyer.

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<v Speaker 3>I guess with the first my first start up, the

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<v Speaker 3>big really the mistake was having too much shareholder and

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<v Speaker 3>board control from legacy media companies who then necessarily see

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<v Speaker 3>things through the lens of legacy media, and that they'll

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<v Speaker 3>kind of make you do things that seem sensible to them,

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<v Speaker 3>but really don't make sense with the new technology. I

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<v Speaker 3>know I should point out that I that I didn't

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<v Speaker 3>actually at first intend to start a company. I try

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<v Speaker 3>to get a job at Netscape SMI resumes Netscape and

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<v Speaker 3>Mark Hendrieson knows about this, but I don't think you

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<v Speaker 3>have a swim my resume, and then nobody responded. So

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<v Speaker 3>and then I tried hanging out in the lobby of

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<v Speaker 3>Netscape see if I could like bump into someone, but

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<v Speaker 3>I was like too shy to talk and talk to anyone.

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<v Speaker 3>So I'm like, man, this is ridiculous. So I'll just

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<v Speaker 3>write sof for myself and see how it goes. So

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<v Speaker 3>it wasn't actually from the stand point of like I

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

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<v Speaker 3>part of building you know, the Internet in some way.

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<v Speaker 3>And and since I couldn't get a job at an

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<v Speaker 3>ARAC company, I had to start a interac company anyway.

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<v Speaker 3>The yeah, yeah, I mean from an AI will so

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<v Speaker 3>profoundly change the future. It's difficult to fathom how much.

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<v Speaker 3>But you know, the the economy is, assuming we don't

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<v Speaker 3>things don't go awry, and like AI doesn't kill us

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<v Speaker 3>all in itself, then you'll see ultimately an economy that

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<v Speaker 3>is not not ten times more than the current economy. Ultimately,

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<v Speaker 3>like if we become say or whatever, our future machine

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<v Speaker 3>descendants or but mostly machine descendants become like a cotttership

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<v Speaker 3>scale to civilization or beyond, we're talking about an economy

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<v Speaker 3>that is thousands of times maybe millions of times bigger

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<v Speaker 3>than the economy today.

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<v Speaker 2>So yeah, I mean I.

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<v Speaker 3>Did sort of feel but like, you know, when I

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<v Speaker 3>was in DC taking a lot of flag for like

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<v Speaker 3>getting rid of waste and fraud, which is an interesting

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<v Speaker 3>side quest as side quest go.

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<v Speaker 1>But but I've got to get back to the main quest. Yeah,

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<v Speaker 1>I got to.

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<v Speaker 2>Get back to the main quest here, So back to

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<v Speaker 2>the main quest.

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<v Speaker 3>So but I did feel, you know a little bit

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<v Speaker 3>like there's you know, it's like fixing the government. It's

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<v Speaker 3>kind of like there's like, say, the beach is dirty

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<v Speaker 3>and there's like some needles and vcs and like trash,

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<v Speaker 3>and you want to clean up the beach. But then

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<v Speaker 3>there's also this like thousand foot wall of water, which

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<v Speaker 3>is a tsunami of ai, like, and how much does

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<v Speaker 3>cleaning the beach really matter if you got a thousand

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<v Speaker 3>foot tsunami about to hit not that much.

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<v Speaker 1>Well, we're glad you're back on the main quest. It's

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<v Speaker 1>very important.

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<v Speaker 3>Yeah, back to the main quest, building technology, which is

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<v Speaker 3>what I like doing. It's just so much noise like this,

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<v Speaker 3>The single noise ratio in politics is terrible.

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<v Speaker 1>So, I mean, I live in San Francisco, so you

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<v Speaker 1>don't need to tell me twice.

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<v Speaker 3>Yeah, DC is like, you know, kind of I guess

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<v Speaker 3>it's all politics in DC. But the if you're trying

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<v Speaker 3>to build a rocket or cars, or you're trying to

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<v Speaker 3>have software that compiles and runs reliably, then you have

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<v Speaker 3>to be maximally true seeking or your software or your

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<v Speaker 3>hardware won't work like you can't fool like math and

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<v Speaker 3>physics are rigorous judges. So I'm used to being in

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<v Speaker 3>a maximally true seeking environment and that's definitely not politic.

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<v Speaker 3>So an I'm good glad to be back in technology.

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<v Speaker 1>I guess I'm kind of curious going back to the

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<v Speaker 1>ZIP too moment, you had hundreds of millions of dollars

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<v Speaker 1>or you had an exit worths of millions of dollars.

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<v Speaker 2>I got twenty million dollars.

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<v Speaker 1>Right, Okay, so you solved the money problem at least,

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<v Speaker 1>and you basically took it and you rolled. You kept

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<v Speaker 1>rolling with X dot Com, which is in PayPal and Confinity.

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<v Speaker 2>Yes, I kept the chips on the table.

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<v Speaker 1>Yeah, so not everyone does that. A lot of the

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<v Speaker 1>people in this room will have to make that decision. Actually,

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<v Speaker 1>what drove you to jump back into the ring.

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<v Speaker 3>Well, I think I felt with with Zip too, we'd

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<v Speaker 3>both like incredible technology but never really got used. You know,

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<v Speaker 3>I think, at least from my perspective, we had better

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<v Speaker 3>technology than say Yahoo or anyone else, but it was

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<v Speaker 3>constrained by our customers. And so I wanted to do

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<v Speaker 3>something that where okay, we wouldn't be constrained by our customers,

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<v Speaker 3>go direct to consumer. And that's what ended up being

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<v Speaker 3>like X dot com PayPal, essentially X dot Com merging

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<v Speaker 3>with Confinity, which together created PayPal, and then that actually

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<v Speaker 3>the sort of PayPal diaspora has it might have created

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<v Speaker 3>more companies then, so more companies than probably any anything

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<v Speaker 3>in the twenty first century. You know, so many talented

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<v Speaker 3>people were at the combination of Confinity and X dot Com.

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<v Speaker 3>So I just wanted to, like, I felt like we

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<v Speaker 3>kind of got our wings clift somewhat with Zip two

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<v Speaker 3>and it's like, okay, what if our wings on clipped

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<v Speaker 3>and we go direct to consumer, And that's that's what.

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<v Speaker 2>PayPal ended up being.

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<v Speaker 3>But yeah, with I got that like twenty million dollar

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<v Speaker 3>check for my share of ZIP two. At the time,

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<v Speaker 3>I was living with in a house with four housemates

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<v Speaker 3>and had like a ten grand in the bank, and

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<v Speaker 3>then the check rights in the mail of all placesn't

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<v Speaker 3>in the mail. And then now then my bank a

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<v Speaker 3>bounce went from tenenty to twenty million in ten thousands.

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<v Speaker 3>You're like, well, okay, sluck to pay taxes on that

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<v Speaker 3>at all. But then I ended up putting almost all

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<v Speaker 3>of that into x dot com and as you said,

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<v Speaker 3>just kind of keeping almost all the chips on the table.

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<v Speaker 2>And yeah, and then.

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<v Speaker 3>After Paypala was like, well, I was kind of curious

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<v Speaker 3>as to why we had not sent anyone to Mars,

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<v Speaker 3>and I went on then went on the NASA website

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<v Speaker 3>to find out when we're sending people Tomors, and there

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<v Speaker 3>was no date. I thought, maybe it's just hard to

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<v Speaker 3>find on the website, but in fact that there was

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<v Speaker 3>no real plan to send people to Mars. So then

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<v Speaker 3>you know, I've come to this is such a long story.

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<v Speaker 3>So I don't want to take up too much time here.

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<v Speaker 1>But I think we're all listening with rapt attention.

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<v Speaker 3>So I was actually I was on the long end

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<v Speaker 3>of the expressway with my friend day O RESSI were

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<v Speaker 3>like housemates in college, and day was asking me what

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<v Speaker 3>I'm what we're going to do? What am I going

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<v Speaker 3>to do after a PayPal And I was like, like,

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<v Speaker 3>I don't know. I guess maybe I'd like to do

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<v Speaker 3>something philanthropic in space, because I didn't think I could

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<v Speaker 3>actually do anything commotional in space because that seem like

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<v Speaker 3>the purview of nations. So but you know, I'm kind

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<v Speaker 3>of curious as to when we're going to send people

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<v Speaker 3>to Mars. And that's when I was like, oh, it's

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<v Speaker 3>not on the website, and I started digging on not

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<v Speaker 3>that there's nothing on the NAST website.

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<v Speaker 2>So then I started.

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<v Speaker 3>Digging in and and and I'm definitely summarizing a lot here.

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<v Speaker 3>But my first idea was to do a philanthropic mission

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<v Speaker 3>to Mars called Life to Mars, where would send a

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<v Speaker 3>small greenhouse with see some dehydrated nutrient gael land out

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<v Speaker 3>on mosque and grow, you know, hydrate the jail and

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<v Speaker 3>then you have this great sort of money shot of

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<v Speaker 3>green plants on a red background. But the longest time, I,

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<v Speaker 3>by the way, I didn't realize money shot, I think is.

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<v Speaker 2>A porn reference.

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<v Speaker 3>But anyway, the point is that that would be the

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<v Speaker 3>great shot of green plants on a red background, and

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<v Speaker 3>to try to inspire you know, NASA and the public to.

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<v Speaker 2>Send astronauts to to Mars.

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<v Speaker 3>As I learned more, it came to realize and along

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<v Speaker 3>the way, by the way, I went to Russia in

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<v Speaker 3>like two thousand and one and two thousand and two

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<v Speaker 3>to buy ICVMS, which is like, that's an adventure, you know,

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<v Speaker 3>you go and meet with Russian high command and say

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<v Speaker 3>I'd like to buy some ICVMS.

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<v Speaker 1>This was to get to space, yeah, as a rocket

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<v Speaker 1>to not.

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<v Speaker 2>To nuke anyone, but.

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<v Speaker 3>They had to as a result of onstroduction talks, they

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<v Speaker 3>had to actually destroy a bunch of their big nuclear missiles.

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<v Speaker 2>So I was like, well, how about if we take two.

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<v Speaker 3>Of those, you know, minus the nuke, added an additional

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<v Speaker 3>upper stage for Mars. But it was kind of trippy,

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<v Speaker 3>you know, being in Moscow in one of two thousand

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<v Speaker 3>and one negotiating with like the Russian military to buy ICVM,

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<v Speaker 3>like that's crazy, but they kept also raising the price

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<v Speaker 3>on me, so that so like literally it's kind of

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<v Speaker 3>like the opposite of what negotiation should should do. So

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<v Speaker 3>I was like, man, these things are getting really expensive.

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<v Speaker 3>And then I came to realize that actually the problem

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<v Speaker 3>was not that there was insufficient world to go to Mars,

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<v Speaker 3>but there was no way to do so without breaking

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<v Speaker 3>the budget, you know, or even breaking the NASA budget.

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<v Speaker 3>So that's where I decided to start SAX SpaceX to

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<v Speaker 3>advance rocket technology to the point where we could send

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<v Speaker 3>people to Mars.

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<v Speaker 2>And that was in two thousand and two.

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<v Speaker 1>So that wasn't you know. You didn't start out wanting

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<v Speaker 1>to start a business. You wanted to start just something

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<v Speaker 1>that was interesting to you that you thought humanity needed.

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<v Speaker 1>And then as you sort of you know, like a

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<v Speaker 1>cat pulling on you know, a string, it just sort

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<v Speaker 1>of the ball sort of unravels. It turns out this

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<v Speaker 1>is could be a very profitable business.

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<v Speaker 3>I mean it is now, But there had been no

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<v Speaker 3>prior example of really a rocket startup seating. There have

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<v Speaker 3>been various attempts to do commercial rocket companies and that

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<v Speaker 3>all failed. So again with SpaceX, starting SpaceX was really

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<v Speaker 3>from the standpoint of, like I think there's like a

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<v Speaker 3>less than ten percent chance of being successful, maybe one percent,

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<v Speaker 3>I don't know. But if a startup doesn't do something

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<v Speaker 3>to advance rocket technology, it's definitely not coming from the

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<v Speaker 3>big defense contractors because they just impedance smashed the government,

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<v Speaker 3>and the government just wants to do very conventional things.

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<v Speaker 3>So there's it's either coming from a startup or it's

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<v Speaker 3>not happening at all. So so like a small chance

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<v Speaker 3>of success is better than no chance of success, and

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<v Speaker 3>so that yeah, so SpaceX started that in mid mid

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<v Speaker 3>two thousand and two expecting to fail, Like I said,

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<v Speaker 3>probably ninety percent chance of failing. And even like when

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<v Speaker 3>recruiting people, I didn't like to try to make out

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<v Speaker 3>that it would probably I said, we're probably going to die,

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<v Speaker 3>but four chance we might not die. But this is

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<v Speaker 3>the only way to get people to Mars and advanced

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<v Speaker 3>state of the art. And then I ended up being

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<v Speaker 3>chief engineer of the rocket, not because I wanted to,

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<v Speaker 3>but because I couldn't hire anyone.

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<v Speaker 2>Who was good.

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<v Speaker 3>So like none of the good sort of chief engineers

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<v Speaker 3>would join because it's like this is too risky you

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<v Speaker 3>were going to die. And so then I ended up

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<v Speaker 3>being chief engineer of the rocket. And you know, the

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<v Speaker 3>first three flights did fail, so it's a bit of

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<v Speaker 3>a learning exercise there, and fourth one fortunately worked. But

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<v Speaker 3>if the fourth one hadn't worked, I had no money

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<v Speaker 3>left and that would have been it would have been curtains.

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<v Speaker 2>So it was a pretty close thing.

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<v Speaker 3>If the fourth launch of Falcon Nott work, it would

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00:15:07.279 --> 00:15:09.200
<v Speaker 3>have been just curtains and we would have just been

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<v Speaker 3>joined the graveyard of prior rocket startup. So it's like

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<v Speaker 3>my estimate of success was not far off. We'd just

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<v Speaker 3>be made it by the skin of our teeth. And

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<v Speaker 3>Tesla was happening sort of simultaneously. Like two thousand and

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<v Speaker 3>eight was a rough year because at mid two thousand

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<v Speaker 3>and eight we're called summer two thousand and eight, the

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<v Speaker 3>third the third launch of SpaceX had failed, a third

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<v Speaker 3>failure in a row. The Tesla financing round had failed,

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<v Speaker 3>and so Telsa was going bankrupt fast. It was just like, man,

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<v Speaker 3>this is a grim this is this is going to

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<v Speaker 3>be a tale of warning of an exercise in hubers.

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<v Speaker 1>Probably throughout that period, a lot of people were saying,

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<v Speaker 1>you know, Elon is a software guy.

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<v Speaker 2>Why are you.

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<v Speaker 1>Working on hardware? Why would you? Yeah, why would he

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<v Speaker 1>choose to work on this?

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<v Speaker 3>Right, Harp said, So you can look at the like

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<v Speaker 3>the because it's still the you know, the press of

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00:16:00.360 --> 00:16:02.480
<v Speaker 3>that time is still online. You could just search it.

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<v Speaker 3>And and they kept calling the Internet guy. So like

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<v Speaker 3>Internet guy aka fool is attempting to build a rocket company.

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<v Speaker 3>So you know that we got ridiculed quite a lot.

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<v Speaker 3>And it does sound pretty absurd, Like internet guy starts

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<v Speaker 3>rocket company doesn't sound like a recipe for sess frankly,

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<v Speaker 3>so I didn't hold against them. I was like, yeah,

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<v Speaker 3>you know, admittedly it does sound improbable, and I agree

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<v Speaker 3>that it's improbable. But fortunately the fourth launch worked and

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<v Speaker 3>uh and, and NASA warded us a contract to resupply

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00:16:36.639 --> 00:16:39.240
<v Speaker 3>the space station uh and. I think that was like

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<v Speaker 3>maybe December twenty second. It was like right before Christmas.

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<v Speaker 3>Because even the fourth launch working wasn't enough to succeed.

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<v Speaker 3>NASA also needed we also needed a big contract to

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<v Speaker 3>keep us a life. So so I got I got

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<v Speaker 3>that call from like the NASA NASA team and I literally,

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<v Speaker 3>we're rewarding you one of the contracts to re supply

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<v Speaker 3>the space station, like literally blurt it out, I love

355
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<v Speaker 3>you guys, which is not normally you know what they hear.

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<v Speaker 3>It's usually pretty, you know, sober. But I was like, man,

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<v Speaker 3>this is a company saver. And then we closed the

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<v Speaker 3>Tesla financing around on the last hour of the last

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<v Speaker 3>day that it was possible, which was six pm December

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<v Speaker 3>twenty fourth, two thousand and eight. We would have bounced

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<v Speaker 3>payroll two days after Christmas if that round had had closed.

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<v Speaker 3>So that was a nerve wracking end of two thousand

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<v Speaker 3>and eight, that's for sure.

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<v Speaker 1>I guess from your PayPal and zip two experience jumping

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<v Speaker 1>into these hardcore hardware startups, it feels like one of

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<v Speaker 1>the through lines was being able to find and eventually

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<v Speaker 1>attract the smartest possible people in those popular fields. You know,

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<v Speaker 1>what would I mean the people in this room, like

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<v Speaker 1>some of most of the people here I don't think

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<v Speaker 1>have even managed the single person yet, they're just starting

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<v Speaker 1>their careers. What would you tell to, you know, the

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<v Speaker 1>elon who's never had to do that yet.

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<v Speaker 3>I generally think to try to try to be as

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<v Speaker 3>useful as possible. So it may sound trit but it's

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<v Speaker 3>it's so hard to be useful, especially to be useful

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<v Speaker 3>to a lot of people, Where you say the area

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<v Speaker 3>under the cove of total utility is like how much

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<v Speaker 3>how useful have you been to your failer human beings?

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<v Speaker 2>Times?

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<v Speaker 3>How many people? Like it's almost like like the physics

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<v Speaker 3>definition of true work. It's incredibly difficult to do that.

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<v Speaker 3>I think if you aspire to do true work, your

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<v Speaker 3>probably success is much higher, Like like, don't inspire to glory,

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<v Speaker 3>aspire to work.

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<v Speaker 1>How can you tell that it's true work? Like is

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<v Speaker 1>it external? Is it like what happens with other people?

387
00:18:24.599 --> 00:18:26.480
<v Speaker 1>Or you know what the product does for people? Like

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<v Speaker 1>what you know? What is that for you when you're

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<v Speaker 1>looking for people to come work for you? Like what

390
00:18:30.440 --> 00:18:32.319
<v Speaker 1>you know? What's the salient thing that you look for?

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<v Speaker 3>Or if they're that's certain question I guess it's I

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00:18:35.079 --> 00:18:37.799
<v Speaker 3>mean in terms of off your in product, you have

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<v Speaker 3>to say, like, well, if this thing is successful, how

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<v Speaker 3>useful will it be to how many people?

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<v Speaker 2>And that's that's what I mean.

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<v Speaker 3>And then you do you do whatever you know, whether

397
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<v Speaker 3>you're CEO or any role in a startup, you do

398
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<v Speaker 3>whatever it takes to succeed, like and just and just

399
00:18:51.359 --> 00:18:56.039
<v Speaker 3>always be smash smashing your ego like like internalized responsibility.

400
00:18:56.240 --> 00:18:59.559
<v Speaker 3>Like a major failure mode is when ego to ability

401
00:18:59.680 --> 00:19:03.640
<v Speaker 3>ratio is double graded than sign one. You know, like

402
00:19:03.720 --> 00:19:06.200
<v Speaker 3>if you if your ego to ability ratio is it

403
00:19:06.200 --> 00:19:08.400
<v Speaker 3>gets too high, then you're you're you're you're going to

404
00:19:08.440 --> 00:19:11.440
<v Speaker 3>basically break the feedback loop to reality. And in in

405
00:19:11.839 --> 00:19:14.960
<v Speaker 3>AI terms, your your er, you'll have your you'll break

406
00:19:15.000 --> 00:19:15.880
<v Speaker 3>your r L loop.

407
00:19:16.039 --> 00:19:17.440
<v Speaker 2>So you want you want to don't want to break

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00:19:17.440 --> 00:19:17.680
<v Speaker 2>your art.

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00:19:17.720 --> 00:19:19.400
<v Speaker 3>You want to have a strong r L loop, which

410
00:19:19.400 --> 00:19:22.200
<v Speaker 3>means internalizing responsibility and minimizing the ego, and you do

411
00:19:22.240 --> 00:19:24.680
<v Speaker 3>whatever the task is, no matter whether it's you know,

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00:19:24.799 --> 00:19:27.000
<v Speaker 3>grand or humble. So I mean that's kind of like

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<v Speaker 3>why I actually I prefer the term like engineering as

414
00:19:30.200 --> 00:19:33.440
<v Speaker 3>opposed to research. I prefer the term And I don't

415
00:19:33.440 --> 00:19:35.319
<v Speaker 3>actually don't want it to call x AI lab. I

416
00:19:35.440 --> 00:19:39.200
<v Speaker 3>just want to be a company. Like it's like whatever,

417
00:19:39.240 --> 00:19:43.839
<v Speaker 3>the what of the simplest, most straightforward, uh ideally lowest

418
00:19:43.880 --> 00:19:46.039
<v Speaker 3>ego terms are that those are generally a good way

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00:19:46.079 --> 00:19:48.480
<v Speaker 3>to go. You want to just close the loop on

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00:19:48.519 --> 00:19:51.359
<v Speaker 3>reality hard That's that's a that's super big deal.

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<v Speaker 1>I think everyone in this room is really looks up

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<v Speaker 1>to everything you've done around being sort of a paragon

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<v Speaker 1>of first principles and you know, thinking about the stuff

424
00:20:00.000 --> 00:20:04.319
<v Speaker 1>if you've done, how do you actually determine your reality?

425
00:20:04.359 --> 00:20:06.680
<v Speaker 1>Because that seems like a pretty big part of it.

426
00:20:06.880 --> 00:20:10.720
<v Speaker 1>Like other people people who have never made anything, non engineers,

427
00:20:11.480 --> 00:20:14.359
<v Speaker 1>sometimes journalists at time who've never done anything, like they

428
00:20:14.400 --> 00:20:17.720
<v Speaker 1>will criticize you, But then clearly you have another set

429
00:20:17.759 --> 00:20:21.440
<v Speaker 1>of people who are builders, who have very high you know,

430
00:20:21.559 --> 00:20:24.440
<v Speaker 1>sort of area under the curve, who are in your circle. Like,

431
00:20:24.599 --> 00:20:26.960
<v Speaker 1>you know, how should people approach that? Like what has

432
00:20:27.000 --> 00:20:29.319
<v Speaker 1>worked for you? And what would you pass on like

433
00:20:29.440 --> 00:20:32.160
<v Speaker 1>you know, to X to your children? Like you know,

434
00:20:32.160 --> 00:20:34.319
<v Speaker 1>what do you tell them when you're like you need

435
00:20:34.359 --> 00:20:35.640
<v Speaker 1>to make your way in this world?

436
00:20:35.839 --> 00:20:36.000
<v Speaker 2>Here?

437
00:20:36.039 --> 00:20:38.160
<v Speaker 1>You know, here's how to construct a reality that is

438
00:20:38.279 --> 00:20:39.799
<v Speaker 1>predictive from first principles.

439
00:20:39.799 --> 00:20:45.400
<v Speaker 3>Well, the tools of physics are incredibly helpful to understand

440
00:20:45.400 --> 00:20:48.680
<v Speaker 3>and make progress in any field. And first principles means

441
00:20:48.759 --> 00:20:50.839
<v Speaker 3>just obviously just means, you know, breakings down to the

442
00:20:50.839 --> 00:20:53.359
<v Speaker 3>fundamental axiomatic elements that are most likely to be true

443
00:20:53.559 --> 00:20:56.039
<v Speaker 3>and then reason up from there as cosionally as possible,

444
00:20:56.119 --> 00:20:59.759
<v Speaker 3>as opposed to reasoning by analysis or metaphor, and then

445
00:20:59.799 --> 00:21:02.279
<v Speaker 3>it just simple things like like thinking in the limit,

446
00:21:02.480 --> 00:21:05.240
<v Speaker 3>like if you strapolate, you know, minimize this thing or

447
00:21:05.279 --> 00:21:07.480
<v Speaker 3>maximize that thing. Thinking in the limit is is very

448
00:21:07.599 --> 00:21:11.079
<v Speaker 3>very helpful. I use all the tools of physics. They

449
00:21:11.160 --> 00:21:13.839
<v Speaker 3>apply to any field. This is like a superpower.

450
00:21:13.880 --> 00:21:14.240
<v Speaker 2>Actually.

451
00:21:14.759 --> 00:21:17.160
<v Speaker 3>So you can take say, take for example, like rockets.

452
00:21:17.160 --> 00:21:20.039
<v Speaker 3>You could say, well, how much should a rocket rocket cost?

453
00:21:20.519 --> 00:21:23.599
<v Speaker 3>A typical approach to how to that people would take

454
00:21:23.640 --> 00:21:25.400
<v Speaker 3>how much rocket should cost? There is they would look

455
00:21:25.440 --> 00:21:28.000
<v Speaker 3>historically at what the cost of rockets are and assume

456
00:21:28.079 --> 00:21:30.279
<v Speaker 3>that any new rocket must be somewhat similar to the

457
00:21:30.279 --> 00:21:32.920
<v Speaker 3>prior cost of rockets. A first principal's approach would be

458
00:21:32.920 --> 00:21:35.759
<v Speaker 3>you look at the materials that the rocket is comprised of,

459
00:21:35.839 --> 00:21:40.160
<v Speaker 3>so if that's aluminum, copper, carbon, fiber, steel, whatever the

460
00:21:40.160 --> 00:21:43.279
<v Speaker 3>case may be, and say what what how much does

461
00:21:43.279 --> 00:21:45.880
<v Speaker 3>that rocket weigh, and and what are the constituent elements

462
00:21:45.920 --> 00:21:47.920
<v Speaker 3>and how much does they weigh? What is the material

463
00:21:48.000 --> 00:21:51.200
<v Speaker 3>price per kilogram of those constituent elements, In that sense

464
00:21:51.240 --> 00:21:54.599
<v Speaker 3>the actual floor on what a rocket can cost. It

465
00:21:54.920 --> 00:21:58.480
<v Speaker 3>can asymptotically approach costs the raw materials and then you realize, oh,

466
00:21:58.519 --> 00:22:00.960
<v Speaker 3>actually a rocket. The ROM turials of a rocket are

467
00:22:01.000 --> 00:22:04.759
<v Speaker 3>only maybe one or two percent of the historical cost

468
00:22:04.799 --> 00:22:08.640
<v Speaker 3>of a rocket, so the manufacturing must necessarily be very inefficient.

469
00:22:09.359 --> 00:22:12.200
<v Speaker 3>If the if the rom heerial cost is only one

470
00:22:12.279 --> 00:22:14.440
<v Speaker 3>or two percent, that would be a first first principles

471
00:22:14.440 --> 00:22:18.519
<v Speaker 3>analysis of the potential for cost optimization of a rocket.

472
00:22:18.519 --> 00:22:20.119
<v Speaker 2>And that's before you get to reusability.

473
00:22:20.400 --> 00:22:23.079
<v Speaker 3>To give an AI sort of AI example, I guess

474
00:22:23.519 --> 00:22:26.079
<v Speaker 3>last year went for XCI when we were trying to

475
00:22:26.359 --> 00:22:31.599
<v Speaker 3>build a training supercluster. We went to the various suppliers

476
00:22:31.720 --> 00:22:34.000
<v Speaker 3>to ask what they said, this is the beginning of

477
00:22:34.079 --> 00:22:36.240
<v Speaker 3>last year, that we needed one hundred thousand, h one

478
00:22:36.279 --> 00:22:40.160
<v Speaker 3>hundreds to be able to train coherently. And there are

479
00:22:40.240 --> 00:22:42.440
<v Speaker 3>estimates for how long it would take to complete that

480
00:22:42.519 --> 00:22:44.559
<v Speaker 3>were eighteen to twenty four months. It's like, well, we

481
00:22:44.599 --> 00:22:46.759
<v Speaker 3>need to get that done in six months so then

482
00:22:47.720 --> 00:22:50.720
<v Speaker 3>or we won't be competitive. So then if you break

483
00:22:50.720 --> 00:22:52.680
<v Speaker 3>that down, what are the things you need? Will you

484
00:22:52.720 --> 00:22:55.960
<v Speaker 3>need a building, you need power, you need cooling. We

485
00:22:56.000 --> 00:22:57.920
<v Speaker 3>didn't have enough time to build a building from scratch,

486
00:22:57.960 --> 00:23:00.160
<v Speaker 3>so we've had to find existing building. So we found

487
00:23:00.519 --> 00:23:03.519
<v Speaker 3>at a factory that was no longer in use in Memphis.

488
00:23:03.559 --> 00:23:05.799
<v Speaker 2>That used to build electrolytes products.

489
00:23:06.039 --> 00:23:08.640
<v Speaker 3>But then the input power was fifteen megawats and we

490
00:23:08.680 --> 00:23:12.480
<v Speaker 3>needed one hundred and fifteen megawatts, So we read the

491
00:23:12.599 --> 00:23:14.920
<v Speaker 3>generators and had generators on one side of the building.

492
00:23:15.079 --> 00:23:16.720
<v Speaker 3>And then we have to have cooling, so we rented

493
00:23:16.759 --> 00:23:18.519
<v Speaker 3>about a quarter of the mobile cooling capacity of the

494
00:23:18.599 --> 00:23:20.400
<v Speaker 3>US and put the chillers.

495
00:23:20.079 --> 00:23:21.119
<v Speaker 2>On the other side of the building.

496
00:23:21.440 --> 00:23:23.960
<v Speaker 3>That didn't fully solve the problem because the voltage the

497
00:23:23.960 --> 00:23:28.519
<v Speaker 3>power variations during training are very very big, so you

498
00:23:28.559 --> 00:23:31.039
<v Speaker 3>can have power can drop by fifty percent in one

499
00:23:31.079 --> 00:23:33.680
<v Speaker 3>hundred milliseconds, which the generators can keep up with.

500
00:23:33.799 --> 00:23:34.160
<v Speaker 2>So then we.

501
00:23:34.240 --> 00:23:37.240
<v Speaker 3>Combined we added Tesla megapacks and modified the software in

502
00:23:37.279 --> 00:23:40.680
<v Speaker 3>the megapacks to be able to smooth out the power

503
00:23:40.759 --> 00:23:43.519
<v Speaker 3>variation during the training run. And then there were a

504
00:23:43.559 --> 00:23:47.720
<v Speaker 3>bunch of networking challenges because the networking cables, if you're

505
00:23:47.720 --> 00:23:51.000
<v Speaker 3>trying to make one hundred thousand GPUs training coherently, are

506
00:23:51.079 --> 00:23:52.000
<v Speaker 3>very very challenging.

507
00:23:52.799 --> 00:23:55.680
<v Speaker 1>Almost it sounds like almost any of those things you mentioned,

508
00:23:56.039 --> 00:23:59.640
<v Speaker 1>I could imagine someone telling you very directly, no, you

509
00:23:59.720 --> 00:24:02.160
<v Speaker 1>can have that, you can't have that power, you can't

510
00:24:02.160 --> 00:24:04.160
<v Speaker 1>have this uh, and it sounds like one of the

511
00:24:04.200 --> 00:24:08.279
<v Speaker 1>salient pieces of first principles thinking is actually, let's ask why,

512
00:24:08.440 --> 00:24:10.960
<v Speaker 1>let's you know, figure that out, and actually let's challenge

513
00:24:11.039 --> 00:24:14.119
<v Speaker 1>the person across the table and if they if I

514
00:24:14.200 --> 00:24:16.799
<v Speaker 1>don't get an answer that I feel good about, I'm gonna,

515
00:24:16.920 --> 00:24:19.039
<v Speaker 1>you know, not allow that to be I'm not going

516
00:24:19.119 --> 00:24:20.920
<v Speaker 1>to let that know to stand. Is that? I mean,

517
00:24:21.000 --> 00:24:23.680
<v Speaker 1>that feels like something that you know, everyone if someone

518
00:24:23.799 --> 00:24:26.720
<v Speaker 1>were to try to do what you're doing in hardware,

519
00:24:26.880 --> 00:24:29.839
<v Speaker 1>hardware seems too uniquely and software we have lots of

520
00:24:30.000 --> 00:24:31.759
<v Speaker 1>you know, fluff and things that you know, it's like

521
00:24:31.880 --> 00:24:34.240
<v Speaker 1>we can add more CPUs for that, it'll be fine.

522
00:24:34.279 --> 00:24:36.440
<v Speaker 1>But in hardware it's it's just not going to work.

523
00:24:36.519 --> 00:24:39.359
<v Speaker 3>I think these general principles of first principles thinking apply

524
00:24:39.480 --> 00:24:42.519
<v Speaker 3>to software and hardware, apply to anything really. I'm just

525
00:24:42.599 --> 00:24:46.319
<v Speaker 3>using kind of a hardware example of how we're told

526
00:24:46.359 --> 00:24:48.640
<v Speaker 3>something is impossible, but once we broke it down into

527
00:24:48.680 --> 00:24:51.279
<v Speaker 3>the constituent elements of we need a building, we need power,

528
00:24:51.319 --> 00:24:54.759
<v Speaker 3>we need cooling, we need uh, we need power smoothing,

529
00:24:54.920 --> 00:24:57.720
<v Speaker 3>and then and then we could solve those constituent elements.

530
00:24:58.279 --> 00:25:01.680
<v Speaker 3>But and then we and then we rand the networking

531
00:25:01.720 --> 00:25:05.519
<v Speaker 3>operation to do all the cabling everything in four shifts

532
00:25:05.519 --> 00:25:07.960
<v Speaker 3>twenty four to seven, and I was like sleeping in

533
00:25:08.000 --> 00:25:11.519
<v Speaker 3>the data center and also doing cabling myself, and there

534
00:25:11.519 --> 00:25:14.039
<v Speaker 3>were a lot of both issues to solve. You know,

535
00:25:14.880 --> 00:25:17.039
<v Speaker 3>nobody had done a training run with one hundred thousand,

536
00:25:17.880 --> 00:25:20.200
<v Speaker 3>h one hundreds training coherently last year.

537
00:25:20.400 --> 00:25:22.119
<v Speaker 2>I mean, maybe it's been done this year. I don't know.

538
00:25:22.160 --> 00:25:24.680
<v Speaker 3>But then and then we ended up doubling that to

539
00:25:24.759 --> 00:25:27.279
<v Speaker 3>two hundred thousand, and so now we've got one hundred

540
00:25:27.279 --> 00:25:29.440
<v Speaker 3>and fifty thousand, h one hundred fifty k H two

541
00:25:29.559 --> 00:25:33.279
<v Speaker 3>hundreds and thirty k GB two hundreds in the in

542
00:25:33.319 --> 00:25:36.480
<v Speaker 3>the Memphis training center, and we're about to bring one

543
00:25:36.559 --> 00:25:40.039
<v Speaker 3>hundred and ten thousand GB two hundreds online at a

544
00:25:40.160 --> 00:25:42.480
<v Speaker 3>second data center also in the Memphis area.

545
00:25:42.640 --> 00:25:44.640
<v Speaker 1>Is it your view that you know pre training is

546
00:25:44.680 --> 00:25:48.839
<v Speaker 1>still working and you know larger the scaling laws still hold,

547
00:25:49.160 --> 00:25:52.839
<v Speaker 1>and whoever wins this race will have basically the biggest,

548
00:25:52.839 --> 00:25:54.720
<v Speaker 1>smartest possible model that you could steal.

549
00:25:55.000 --> 00:25:59.920
<v Speaker 3>Well, there's other various elements that side competitiveness for larger

550
00:26:00.119 --> 00:26:03.920
<v Speaker 3>I this this for sure, the talent of the people matter.

551
00:26:04.799 --> 00:26:07.319
<v Speaker 3>The scale of the hardware matters, and how well you're

552
00:26:07.400 --> 00:26:09.440
<v Speaker 3>able to bring that hardware to bear. So you can't

553
00:26:09.480 --> 00:26:11.759
<v Speaker 3>just order a whole bunch of GPUs and if they don't,

554
00:26:12.119 --> 00:26:13.839
<v Speaker 3>you can't just plug them in. So you've got to

555
00:26:13.880 --> 00:26:15.519
<v Speaker 3>You've got to get a lot of GPUs and have

556
00:26:15.599 --> 00:26:20.039
<v Speaker 3>them train training coherently and stavely. Then it's like, what

557
00:26:20.200 --> 00:26:21.559
<v Speaker 3>unique access to data.

558
00:26:21.359 --> 00:26:21.759
<v Speaker 2>Do you have?

559
00:26:21.960 --> 00:26:24.519
<v Speaker 3>I guess distribution matters to some degree as well, like

560
00:26:24.559 --> 00:26:26.000
<v Speaker 3>how do people get exposed to your AI?

561
00:26:26.279 --> 00:26:26.480
<v Speaker 2>Those?

562
00:26:26.519 --> 00:26:28.880
<v Speaker 3>Those are those are critical factors for if it's going

563
00:26:28.920 --> 00:26:32.680
<v Speaker 3>to be like a large foundation model as competitive, you know,

564
00:26:32.759 --> 00:26:34.440
<v Speaker 3>as as many have said.

565
00:26:34.480 --> 00:26:36.240
<v Speaker 2>I think my friend eliasit Skier.

566
00:26:36.079 --> 00:26:38.319
<v Speaker 3>Said, uh, you know, we we've kind of run out

567
00:26:38.319 --> 00:26:41.440
<v Speaker 3>of pre training data of human generated pre like human

568
00:26:41.519 --> 00:26:44.519
<v Speaker 3>generated data, you run out of tokens pretty fast, of

569
00:26:44.759 --> 00:26:47.920
<v Speaker 3>certainly of high quality tokens. And and then you then

570
00:26:48.000 --> 00:26:51.440
<v Speaker 3>you have to do a lot of you need to

571
00:26:51.519 --> 00:26:55.039
<v Speaker 3>essentially create synthetic data and and be able to accurately

572
00:26:55.160 --> 00:26:57.759
<v Speaker 3>judge the synthetic data that you're creating to very like

573
00:26:57.880 --> 00:26:59.240
<v Speaker 3>is this real synthetic data?

574
00:26:59.240 --> 00:26:59.400
<v Speaker 2>Well?

575
00:26:59.480 --> 00:27:02.519
<v Speaker 3>Is it in a hallucination that doesn't actually mash reality?

576
00:27:03.279 --> 00:27:07.119
<v Speaker 3>So achieving grounding and reality is tricky, but we're at

577
00:27:07.160 --> 00:27:10.680
<v Speaker 3>the stage where there's more effort put into synthetic data.

578
00:27:11.559 --> 00:27:14.519
<v Speaker 3>And right now we're training Grock three point five, which

579
00:27:14.559 --> 00:27:16.559
<v Speaker 3>is a heavy focus on reasoning.

580
00:27:16.759 --> 00:27:18.839
<v Speaker 1>Going back to your physics point, what I heard for

581
00:27:18.960 --> 00:27:23.319
<v Speaker 1>reasoning is that hard science, particularly physics textbooks, are very

582
00:27:23.400 --> 00:27:27.039
<v Speaker 1>useful for reasoning, whereas I think researchers have told me

583
00:27:27.119 --> 00:27:30.079
<v Speaker 1>that social science is totally useless for reasoning.

584
00:27:31.039 --> 00:27:32.640
<v Speaker 2>Yes, that's probably true.

585
00:27:33.359 --> 00:27:36.599
<v Speaker 3>So yeah, there's something that's going to be very important

586
00:27:36.640 --> 00:27:41.400
<v Speaker 3>in the future is combining deep AI in the data

587
00:27:41.400 --> 00:27:46.039
<v Speaker 3>center of Supercluster with robotics. So that's you know, things

588
00:27:46.079 --> 00:27:50.039
<v Speaker 3>like like the Optimius humanoid robot, and yeah, Optimist is awesome.

589
00:27:50.160 --> 00:27:52.799
<v Speaker 3>There's going to be so many humanoid robots and robots

590
00:27:52.799 --> 00:27:55.880
<v Speaker 3>of all robots of all sizes and shapes. But my

591
00:27:55.960 --> 00:27:58.680
<v Speaker 3>prediction is that there will be more humanoid robots by

592
00:27:58.680 --> 00:28:01.039
<v Speaker 3>far than all other robots can bind by maybe an

593
00:28:01.119 --> 00:28:03.119
<v Speaker 3>order of magnitude, like a big difference.

594
00:28:03.640 --> 00:28:07.200
<v Speaker 1>And is it true that you're planning a robot army of.

595
00:28:07.160 --> 00:28:09.920
<v Speaker 3>A sort, whether we do it or or you know,

596
00:28:09.920 --> 00:28:12.759
<v Speaker 3>whether Tesla does it. You know, Tesla works closely with Xai.

597
00:28:13.680 --> 00:28:16.519
<v Speaker 3>Like you've seen how many humanoid robots startups are there.

598
00:28:16.559 --> 00:28:19.119
<v Speaker 3>Like it's like I think Jensen Bong was on stage

599
00:28:19.240 --> 00:28:22.079
<v Speaker 3>with a lot with a massive number of robots, you know,

600
00:28:22.359 --> 00:28:24.680
<v Speaker 3>robots from different companies. I think it was like a

601
00:28:24.680 --> 00:28:28.119
<v Speaker 3>dozen different humanoid robots. So I mean, I guess, you know,

602
00:28:28.160 --> 00:28:30.279
<v Speaker 3>part of what I've been biting and maybe what has

603
00:28:30.319 --> 00:28:32.599
<v Speaker 3>slowed me down somewhat is that I'm I'm a little

604
00:28:32.720 --> 00:28:34.599
<v Speaker 3>I don't want I don't want to make Terminator real,

605
00:28:35.160 --> 00:28:37.880
<v Speaker 3>you know. So I've been sort of, I guess, at

606
00:28:37.960 --> 00:28:41.359
<v Speaker 3>least until recent years, dragging my feet on on AI

607
00:28:41.720 --> 00:28:44.160
<v Speaker 3>and and humanoid robotics. And then I sort of come

608
00:28:44.200 --> 00:28:46.440
<v Speaker 3>to realize that, realizations it's happening.

609
00:28:46.119 --> 00:28:47.200
<v Speaker 2>Whether I do it or not.

610
00:28:47.400 --> 00:28:50.599
<v Speaker 3>So you got really two choices participate. You could either

611
00:28:50.640 --> 00:28:53.079
<v Speaker 3>be a spectator or a participant. It's like, well, I

612
00:28:53.079 --> 00:28:56.240
<v Speaker 3>guess I'd rather be a participant than a spectator. So

613
00:28:56.319 --> 00:28:58.519
<v Speaker 3>now it's you know, pedals to the metal on humanoid

614
00:28:58.599 --> 00:29:01.160
<v Speaker 3>robots and digital superintelligence.

615
00:29:01.200 --> 00:29:03.000
<v Speaker 1>So I guess you know, there's a third thing that

616
00:29:03.319 --> 00:29:05.440
<v Speaker 1>everyone has heard you talk a lot about that I'm

617
00:29:05.440 --> 00:29:08.400
<v Speaker 1>really a big fan of, you know, becoming a multiplanetary space.

618
00:29:08.559 --> 00:29:10.759
<v Speaker 1>Where does this fit? You know? This is all you know,

619
00:29:10.839 --> 00:29:12.920
<v Speaker 1>not not just a ten or twenty year thing, maybe

620
00:29:12.920 --> 00:29:15.119
<v Speaker 1>one hundred year thing. Like it's a multi you know,

621
00:29:15.279 --> 00:29:18.480
<v Speaker 1>many many generations for humanity kind of thing. You know,

622
00:29:18.799 --> 00:29:21.440
<v Speaker 1>how do you think about it? There's you know AI obviously,

623
00:29:21.480 --> 00:29:26.240
<v Speaker 1>there's embodied robotics, and then there's being a multiplant, multiplanetary species.

624
00:29:26.319 --> 00:29:29.160
<v Speaker 1>Does everything sort of feed into that last point? Or

625
00:29:29.440 --> 00:29:31.079
<v Speaker 1>you know what? What are you driven by right now

626
00:29:31.119 --> 00:29:32.960
<v Speaker 1>for the next ten, twenty and one hundred years?

627
00:29:32.960 --> 00:29:35.680
<v Speaker 3>See one hundred years, man, I hope civilizations around in

628
00:29:35.720 --> 00:29:37.680
<v Speaker 3>one hundred years. If it is around, it's going to

629
00:29:37.680 --> 00:29:41.079
<v Speaker 3>look very different from civilization today. I mean, I'd predict

630
00:29:41.079 --> 00:29:43.359
<v Speaker 3>that this is going to be at least five times

631
00:29:43.359 --> 00:29:46.319
<v Speaker 3>as many humanoid robots as there are humans, maybe ten times.

632
00:29:47.640 --> 00:29:49.960
<v Speaker 3>One way to look at the progress of civilization is

633
00:29:50.039 --> 00:29:53.480
<v Speaker 3>percentage completion Kladishev. So if you're in a cludos Ship

634
00:29:53.519 --> 00:29:56.279
<v Speaker 3>scale one, you've you've hot as all the energy of

635
00:29:56.319 --> 00:30:00.440
<v Speaker 3>a planet, and in my opinion, we've only ha maybe

636
00:30:00.559 --> 00:30:04.000
<v Speaker 3>one or two percent of Earth's energy, So we've got

637
00:30:04.039 --> 00:30:05.960
<v Speaker 3>a long way to go to the Kardschev scale one.

638
00:30:06.599 --> 00:30:10.480
<v Speaker 3>Then Karshev two, you've harnessed all the energy of the Sun,

639
00:30:11.000 --> 00:30:13.559
<v Speaker 3>which would be I don't know, a billion times more

640
00:30:13.680 --> 00:30:16.839
<v Speaker 3>energy than Earth, maybe closer to a trillion, And then

641
00:30:16.960 --> 00:30:19.119
<v Speaker 3>Karshev three would be all the energy of a galaxy,

642
00:30:19.319 --> 00:30:22.319
<v Speaker 3>pretty far from that. So we're at the very very

643
00:30:22.319 --> 00:30:26.079
<v Speaker 3>early stage of the intelligence big bang. I hope we're

644
00:30:26.799 --> 00:30:28.920
<v Speaker 3>in terms of be multiplanetary, like I think. I think

645
00:30:28.920 --> 00:30:32.480
<v Speaker 3>we'll have enough mass transferred to Mars within like roughly

646
00:30:32.519 --> 00:30:35.440
<v Speaker 3>thirty years to make Mars self sustaining such that Mars

647
00:30:35.480 --> 00:30:38.720
<v Speaker 3>can continue to grow and prosper even if the resupply

648
00:30:38.759 --> 00:30:42.480
<v Speaker 3>shifts from Earth stuff coming, and that greatly increases the

649
00:30:42.519 --> 00:30:47.680
<v Speaker 3>probable lifespan of civilization or consciousness and intelligence, both biological

650
00:30:47.839 --> 00:30:50.799
<v Speaker 3>and digital. So that's why I think it's important to

651
00:30:50.799 --> 00:30:53.200
<v Speaker 3>become a multiplanet species. And I'm so much troubled by

652
00:30:53.200 --> 00:30:56.359
<v Speaker 3>the filmy paradox, like why have we not seen any aliens?

653
00:30:56.559 --> 00:31:00.319
<v Speaker 3>And it could be because intelligence is incredibly rare and

654
00:31:00.799 --> 00:31:03.240
<v Speaker 3>maybe we're the only ones in this galaxy, in which

655
00:31:03.279 --> 00:31:06.799
<v Speaker 3>case the intelligence of consciousness is the tiny candle in

656
00:31:06.839 --> 00:31:09.480
<v Speaker 3>a vast dogness, and we should do everything possible to

657
00:31:09.559 --> 00:31:12.440
<v Speaker 3>ensure the tiny candle does not go out, and being

658
00:31:12.480 --> 00:31:17.559
<v Speaker 3>a multiplanet species, or making consciousness multiplanetary, greatly improves the

659
00:31:17.559 --> 00:31:21.039
<v Speaker 3>probable lifespan of civilization, and it's it's the next step

660
00:31:21.079 --> 00:31:24.000
<v Speaker 3>before going to other star system on you. Once you

661
00:31:24.039 --> 00:31:26.079
<v Speaker 3>at least have two planets, then you've got a forcing

662
00:31:26.119 --> 00:31:30.599
<v Speaker 3>function for the improvement of space travel, and that ultimately

663
00:31:30.640 --> 00:31:34.200
<v Speaker 3>is what will lead to consciousness expanding to the stars.

664
00:31:34.319 --> 00:31:37.519
<v Speaker 1>It could be that the Fermi paradox dictates once you

665
00:31:37.559 --> 00:31:40.759
<v Speaker 1>get to some level of technology, you destroy yourself. How

666
00:31:40.759 --> 00:31:43.200
<v Speaker 1>do we see ourselves? How do we actually what would

667
00:31:43.240 --> 00:31:46.759
<v Speaker 1>you prescribe to I mean a room full of engineers, like,

668
00:31:46.799 --> 00:31:49.039
<v Speaker 1>what can we do to prevent that from happening?

669
00:31:49.119 --> 00:31:49.319
<v Speaker 2>Yeah?

670
00:31:49.319 --> 00:31:51.119
<v Speaker 3>How do we avoid the great filters? One of the

671
00:31:51.160 --> 00:31:54.440
<v Speaker 3>great filters would obviously be global termin nuclear war, So

672
00:31:54.799 --> 00:31:55.359
<v Speaker 3>we should.

673
00:31:55.160 --> 00:31:55.920
<v Speaker 2>Try to avoid that.

674
00:31:56.759 --> 00:32:01.160
<v Speaker 3>I guess building benign AI robots that that loves humanity

675
00:32:01.400 --> 00:32:04.079
<v Speaker 3>and you know, robots.

676
00:32:03.640 --> 00:32:04.279
<v Speaker 2>That are helpful.

677
00:32:05.480 --> 00:32:08.680
<v Speaker 3>Something that I think is extremely important in building AI

678
00:32:08.920 --> 00:32:12.200
<v Speaker 3>is a very rigorous adherence to truth, even if that

679
00:32:12.279 --> 00:32:17.079
<v Speaker 3>truth is politically incorrect. My intuition for what could make

680
00:32:17.279 --> 00:32:20.880
<v Speaker 3>AI very dangerous is if if you force AI to

681
00:32:20.920 --> 00:32:22.160
<v Speaker 3>believe things that are not true.

682
00:32:22.240 --> 00:32:23.839
<v Speaker 1>How do you think about you know, there's sort of

683
00:32:23.880 --> 00:32:28.759
<v Speaker 1>this argument for open for safety versus closed for competitive edge.

684
00:32:28.880 --> 00:32:30.559
<v Speaker 1>I mean, I think the great thing is you have

685
00:32:30.599 --> 00:32:34.079
<v Speaker 1>a competitive model. Many other people also have competitive models,

686
00:32:34.079 --> 00:32:36.359
<v Speaker 1>and in that sense, you know, we're sort of off of.

687
00:32:36.519 --> 00:32:39.160
<v Speaker 1>Maybe the worst timeline that I'd be worried about is,

688
00:32:39.279 --> 00:32:41.240
<v Speaker 1>you know, there's fast takeoff and it's only in one

689
00:32:41.279 --> 00:32:44.240
<v Speaker 1>person's hands, so that might you know, sort of collapse

690
00:32:44.559 --> 00:32:47.400
<v Speaker 1>a lot of things, whereas now we have choice, right,

691
00:32:47.480 --> 00:32:48.599
<v Speaker 1>How do you think about this?

692
00:32:48.680 --> 00:32:48.880
<v Speaker 2>Yeah?

693
00:32:48.960 --> 00:32:52.440
<v Speaker 3>I do think there will be several deep intelligences, maybe

694
00:32:52.440 --> 00:32:56.279
<v Speaker 3>maybe at least five, maybe as much as ten. I'm

695
00:32:56.319 --> 00:32:57.960
<v Speaker 3>not sure that there's going to be hundreds, but it's

696
00:32:57.960 --> 00:33:00.480
<v Speaker 3>probably close. Like maybe it'll be like ten like that,

697
00:33:01.319 --> 00:33:03.960
<v Speaker 3>of which maybe four will be in the US. So

698
00:33:04.519 --> 00:33:06.640
<v Speaker 3>I don't think it's going to be anyone AI that

699
00:33:06.640 --> 00:33:08.519
<v Speaker 3>that has runaway capability.

700
00:33:09.359 --> 00:33:11.640
<v Speaker 2>But but yeah, several deep intelligences.

701
00:33:11.799 --> 00:33:15.079
<v Speaker 1>What will these deep deep intelligences actually be doing? Will

702
00:33:15.079 --> 00:33:17.640
<v Speaker 1>it be scientific research or trying to hack each other?

703
00:33:17.759 --> 00:33:18.799
<v Speaker 2>Probably all of the above.

704
00:33:19.960 --> 00:33:22.359
<v Speaker 3>I mean, hopefully they will discover new physics, and I

705
00:33:22.359 --> 00:33:26.000
<v Speaker 3>think they're very they're definitely going to invent new technologies.

706
00:33:26.880 --> 00:33:29.440
<v Speaker 3>I think I think we're quite close to digital superintelligence.

707
00:33:29.680 --> 00:33:32.359
<v Speaker 3>It may happen this year, and if it doesn't happen

708
00:33:32.359 --> 00:33:35.759
<v Speaker 3>this year, next year for sure. Digital superintelligence defined as

709
00:33:35.920 --> 00:33:37.880
<v Speaker 3>smarter than any human at anything.

710
00:33:38.039 --> 00:33:39.839
<v Speaker 1>Well, so how do we direct that to sort of

711
00:33:39.880 --> 00:33:43.119
<v Speaker 1>superabundance you know we have we could have robotic labor,

712
00:33:43.440 --> 00:33:46.279
<v Speaker 1>we have cheap energy, intelligence on demand.

713
00:33:46.599 --> 00:33:46.839
<v Speaker 2>You know?

714
00:33:47.119 --> 00:33:49.400
<v Speaker 1>Is that sort of the white pill? Like where do

715
00:33:49.440 --> 00:33:52.319
<v Speaker 1>you sit on the spectrum? And are there tangible things

716
00:33:52.359 --> 00:33:55.400
<v Speaker 1>that you would encourage everyone here to be working on

717
00:33:55.559 --> 00:33:57.799
<v Speaker 1>to make that white pill actually reality?

718
00:33:57.960 --> 00:34:00.200
<v Speaker 2>I think I think it most likely will be a

719
00:34:00.240 --> 00:34:00.839
<v Speaker 2>good outcome.

720
00:34:01.440 --> 00:34:03.480
<v Speaker 3>I guess i'd sort of agree with Jeff Hinton that

721
00:34:03.559 --> 00:34:05.880
<v Speaker 3>maybe it's a ten to twenty percent chance of annihilation,

722
00:34:06.440 --> 00:34:08.400
<v Speaker 3>but look on the right side, that's eighty to ninety

723
00:34:08.400 --> 00:34:12.159
<v Speaker 3>percent probably of a great outcome. So yeah, I can't

724
00:34:12.199 --> 00:34:15.519
<v Speaker 3>emphasize this enough. A rigorous adherence to truth is the

725
00:34:15.519 --> 00:34:19.599
<v Speaker 3>most important thing for AI safe safety, and obviously empathy

726
00:34:19.679 --> 00:34:22.440
<v Speaker 3>for humanity and life as we know it.

727
00:34:22.639 --> 00:34:26.719
<v Speaker 1>We haven't talked about neuralink at all yet, but I'm curious.

728
00:34:26.960 --> 00:34:29.519
<v Speaker 1>You know you're working on closing the input and output

729
00:34:29.559 --> 00:34:33.320
<v Speaker 1>gap between humans and gene How critical is that to

730
00:34:33.800 --> 00:34:37.079
<v Speaker 1>agi ASI And you know, once that link is made,

731
00:34:37.199 --> 00:34:39.239
<v Speaker 1>can we not only read but also write.

732
00:34:39.320 --> 00:34:43.639
<v Speaker 3>The neuralink is not necessary to solve digital superintelligence. That'll

733
00:34:43.639 --> 00:34:48.119
<v Speaker 3>happen before neuralink is at scale. But what neuralink can

734
00:34:48.199 --> 00:34:52.880
<v Speaker 3>effectively do is solve the input output bandwidth constraints. Especially

735
00:34:52.880 --> 00:34:57.559
<v Speaker 3>our output bandwidth is very low out The sustained output

736
00:34:57.760 --> 00:35:00.280
<v Speaker 3>of a human over the course of a day is

737
00:35:00.320 --> 00:35:02.159
<v Speaker 3>less than one but per second, So there's you know,

738
00:35:02.199 --> 00:35:05.119
<v Speaker 3>eighty six four hundred seconds in a day, and it's

739
00:35:05.199 --> 00:35:07.639
<v Speaker 3>extremely rare for a human to output more than that

740
00:35:07.840 --> 00:35:10.960
<v Speaker 3>number of symbols per day, so certainly for several days

741
00:35:11.000 --> 00:35:15.760
<v Speaker 3>in a row. So you really with with within neuralink interface,

742
00:35:15.840 --> 00:35:18.880
<v Speaker 3>you can massively increase your output bandwidth and your input

743
00:35:18.920 --> 00:35:20.679
<v Speaker 3>band with input.

744
00:35:20.360 --> 00:35:23.199
<v Speaker 2>Being right to you, you have to do right operations

745
00:35:23.199 --> 00:35:23.679
<v Speaker 2>to the brain.

746
00:35:24.559 --> 00:35:28.360
<v Speaker 3>We have now five humans who have received the.

747
00:35:29.880 --> 00:35:32.840
<v Speaker 2>Kind of the read input where it's reading.

748
00:35:32.599 --> 00:35:36.360
<v Speaker 3>Signals, and you've got people with with als who really

749
00:35:36.360 --> 00:35:40.239
<v Speaker 3>have their their tetraplegics, but they can now communicate at

750
00:35:40.320 --> 00:35:43.800
<v Speaker 3>with similar band to a human with a fully functioning

751
00:35:43.840 --> 00:35:48.039
<v Speaker 3>body and control their computer and phone which is pretty cool.

752
00:35:48.239 --> 00:35:50.840
<v Speaker 3>And then I think in the next six to twelve

753
00:35:50.880 --> 00:35:53.960
<v Speaker 3>months we'll be doing our first implants for vision where

754
00:35:54.119 --> 00:35:57.440
<v Speaker 3>even if somebody is completely blind, could we can write

755
00:35:57.480 --> 00:36:02.559
<v Speaker 3>directly to the visual cortex. And we've had that working

756
00:36:02.639 --> 00:36:05.360
<v Speaker 3>in monkeys. Actually, I think one of our monkeys now

757
00:36:05.400 --> 00:36:09.039
<v Speaker 3>has had a visual implant for three years. And at

758
00:36:09.039 --> 00:36:12.079
<v Speaker 3>first it'll be relatively fairly low resolution, but long term

759
00:36:12.199 --> 00:36:14.519
<v Speaker 3>you would have very high resolution and be able to

760
00:36:14.559 --> 00:36:19.000
<v Speaker 3>see multi spectral wavelengths, so you could see an infrared

761
00:36:19.199 --> 00:36:23.039
<v Speaker 3>ultra violet radar like a superpower situation. But like at

762
00:36:23.039 --> 00:36:26.000
<v Speaker 3>some point the sabernetic implants would would not simply be

763
00:36:26.079 --> 00:36:30.960
<v Speaker 3>correcting things that went wrong, but augmenting human capabilities dramatically,

764
00:36:31.000 --> 00:36:36.159
<v Speaker 3>augmenting augmenting intelligence and senses and bandwidth dramatically. And that's

765
00:36:36.280 --> 00:36:39.480
<v Speaker 3>that's going to happen at some point, but digital superintelligence

766
00:36:39.480 --> 00:36:41.880
<v Speaker 3>will happen well before that. At least if we have

767
00:36:41.920 --> 00:36:46.679
<v Speaker 3>a neural link, we'll be able to appreciate the AI better.

768
00:36:46.920 --> 00:36:49.239
<v Speaker 1>I guess one of the limiting reagents to all of

769
00:36:49.280 --> 00:36:52.800
<v Speaker 1>your efforts across all of these different domains is access

770
00:36:52.880 --> 00:36:56.280
<v Speaker 1>to the smartest possible people. But you know, sort of

771
00:36:56.280 --> 00:36:59.119
<v Speaker 1>simultaneous to that, we have you know, the rocks can

772
00:36:59.119 --> 00:37:01.199
<v Speaker 1>talk and reason, and then you know they're maybe one

773
00:37:01.280 --> 00:37:03.920
<v Speaker 1>hundred and thirty IQ now and they're probably going to

774
00:37:03.960 --> 00:37:07.920
<v Speaker 1>be super intelligent soon. How do you reconcile those two things,

775
00:37:07.960 --> 00:37:10.199
<v Speaker 1>like what's going to happen in you know, five ten

776
00:37:10.320 --> 00:37:12.280
<v Speaker 1>years and what should the people in this room do

777
00:37:12.599 --> 00:37:14.760
<v Speaker 1>to make sure that you know they're the ones who

778
00:37:14.760 --> 00:37:17.599
<v Speaker 1>are creating instead of maybe below the API line.

779
00:37:17.639 --> 00:37:20.000
<v Speaker 3>Well, they called it the singularity for a reason, Because

780
00:37:20.000 --> 00:37:22.360
<v Speaker 3>we don't know what's going to happen in the not

781
00:37:22.480 --> 00:37:25.719
<v Speaker 3>that far future. The percentage of intelligence that is human

782
00:37:25.880 --> 00:37:28.519
<v Speaker 3>will be quite small. At some point, the collective some

783
00:37:28.679 --> 00:37:31.159
<v Speaker 3>of human intelligence will be less than one percent of

784
00:37:31.199 --> 00:37:34.559
<v Speaker 3>all intelligence. And if things get to a cult a

785
00:37:34.599 --> 00:37:39.039
<v Speaker 3>ship level too, we're talking about human intelligence even assuming

786
00:37:39.159 --> 00:37:43.639
<v Speaker 3>a significant increase in human population and intelligence augmentation, like

787
00:37:43.880 --> 00:37:46.840
<v Speaker 3>massive intelligence augmentation where like everyone has an IQ of

788
00:37:46.880 --> 00:37:50.599
<v Speaker 3>one thousand type of thing. Even in that circumstance, collective

789
00:37:50.639 --> 00:37:54.800
<v Speaker 3>human intelligence will be probably one billion that of digital intelligence. Anyway,

790
00:37:55.320 --> 00:37:58.079
<v Speaker 3>we're the biological bootbootloader for digital superintelligence.

791
00:37:58.119 --> 00:37:59.599
<v Speaker 1>I guess just to end off.

792
00:38:01.760 --> 00:38:03.679
<v Speaker 2>Was that it was like was I a good bootload.

793
00:38:03.719 --> 00:38:05.320
<v Speaker 1>Where do we go? How do we go from here?

794
00:38:05.400 --> 00:38:07.519
<v Speaker 1>I mean, I mean all of this is pretty wild

795
00:38:07.599 --> 00:38:10.360
<v Speaker 1>sci fi stuff that also could be built by the

796
00:38:10.400 --> 00:38:12.719
<v Speaker 1>people in this room. You know, if you do, you

797
00:38:12.760 --> 00:38:15.320
<v Speaker 1>have a closing thought for the smartest technical people of

798
00:38:15.360 --> 00:38:18.079
<v Speaker 1>this generation right now? What should they be doing? What

799
00:38:18.119 --> 00:38:19.960
<v Speaker 1>should they what should they be working on? What should

800
00:38:19.960 --> 00:38:22.119
<v Speaker 1>they be thinking about, you know, tonight as they go

801
00:38:22.199 --> 00:38:22.639
<v Speaker 1>to dinner.

802
00:38:22.800 --> 00:38:25.440
<v Speaker 3>Well, as I saw Rolfe with, I think if you're

803
00:38:25.440 --> 00:38:28.920
<v Speaker 3>doing something useful, that's great. If you just just try

804
00:38:28.920 --> 00:38:31.079
<v Speaker 3>to be as useful as possible to your fellow human

805
00:38:31.119 --> 00:38:34.039
<v Speaker 3>beings and that that then you're doing something good. I

806
00:38:34.119 --> 00:38:36.840
<v Speaker 3>keep harping on this, like focus on super truthful AI.

807
00:38:37.159 --> 00:38:40.800
<v Speaker 3>That that's the most important thing for AI safety. You know, obviously,

808
00:38:40.840 --> 00:38:44.519
<v Speaker 3>if you know anyone's interested in working at x AI mean,

809
00:38:44.639 --> 00:38:47.800
<v Speaker 3>please please let us know. We're aiming to make rock

810
00:38:48.880 --> 00:38:52.239
<v Speaker 3>the maximumly truth seeking AI and uh, I think that's

811
00:38:52.239 --> 00:38:53.079
<v Speaker 3>a very important thing.

812
00:38:53.840 --> 00:38:55.760
<v Speaker 2>Hopefully we can understand the nature of the universe.

813
00:38:55.800 --> 00:38:58.719
<v Speaker 3>That that's really I guess what AI can hopefully tell

814
00:38:58.760 --> 00:39:00.960
<v Speaker 3>us maybe AI AI and maybe tell us where are

815
00:39:00.960 --> 00:39:03.599
<v Speaker 3>the aliens? And you know, how did the universe really start,

816
00:39:03.719 --> 00:39:05.880
<v Speaker 3>how will it end? What are the questions that we

817
00:39:05.960 --> 00:39:08.960
<v Speaker 3>don't know that we should ask, And are we in

818
00:39:08.960 --> 00:39:11.800
<v Speaker 3>a simulation or what level of similation are we in?

819
00:39:11.960 --> 00:39:13.079
<v Speaker 1>Well, I think we're going to find out.

820
00:39:13.159 --> 00:39:14.000
<v Speaker 2>An MPC.

821
00:39:15.519 --> 00:39:18.239
<v Speaker 1>Elon, thank you so much for joining us. Everyone, please

822
00:39:18.360 --> 00:39:20.840
<v Speaker 1>give it up for Elon Musk Basically,
