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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 1>Okay, I I think we should.

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

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

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<v Speaker 1>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 2>Can you put yourself back into their shoes? When you

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<v Speaker 2>were eighteen nineteen learning to code, even coming up with

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<v Speaker 2>a first idea for ZIP too, What was that like

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<v Speaker 2>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 Stanford and material science actually working

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<v Speaker 1>on ultra capacities for potential use of electric vehicles, essentially

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

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

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

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

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<v Speaker 1>and I said, can I defer for a quarter because

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<v Speaker 1>this will probably fail and then I'll need to come

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<v Speaker 1>back to college.

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<v Speaker 3>And then he said, this is probably the last conversation

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<v Speaker 3>we'll have, and he was right.

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

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<v Speaker 1>they would most likely succeed. And then in ninety five

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<v Speaker 1>I wrote, basically, I think the first or close to

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

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

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<v Speaker 1>didn't even use a website. I just read the port

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

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<v Speaker 1>t one. The original office was on Firman Avenue in Palelto.

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<v Speaker 1>There was like an ISP on the floor below. I

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<v Speaker 1>rolled a hole through the floor and just ran a

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<v Speaker 1>land cable directly to the ISP, and my brother joined

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<v Speaker 1>me and another co founder of Great Courrier who passed away,

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<v Speaker 1>and at the time we couldn't even afford a place

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<v Speaker 1>to stay, so we just The office was five hundred

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<v Speaker 1>bucks months, so we just left in the office and

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<v Speaker 1>then shouted the YMCA on page mill and al communo

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<v Speaker 1>and yeah, and I guess we ended up doing a

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<v Speaker 1>little bit of a useful company is up to.

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<v Speaker 3>In the beginning, and I did build a lot of

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<v Speaker 3>really really good.

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<v Speaker 1>Software technology, but were somewhat captured by the legacy media

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<v Speaker 1>companies and that night rout or New York Times, the

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<v Speaker 1>host whatnot were investors and customers and also on the board,

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<v Speaker 1>so they kept wanting to use software in ways that

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<v Speaker 1>made no sense. So I wanted to go direct to

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<v Speaker 1>consumers anyway, as long story, dwelling too much use up

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<v Speaker 1>too But I really just wanted to do something useful

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<v Speaker 1>on the Internet because I have two choices.

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<v Speaker 3>Do I PhD and watch people build the internet or

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<v Speaker 3>help build.

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

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

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<v Speaker 1>go back to grad studies. And anyway, that ended up

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<v Speaker 1>being like reasonably successful. Sold for like three hundre million dollars,

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

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<v Speaker 1>I think the minimum impulse, but for an AI startup

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<v Speaker 1>is like 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 was 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>Oually Yeah, like you could probably buy a voter burger

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<v Speaker 1>for a nickel. Not quite, but yeah, there has been

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<v Speaker 1>a lot of inflation. But at the high level in

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<v Speaker 1>AI is pretty intense. As you've seen companies that are

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<v Speaker 1>I don't know, less than a year old getting sometimes

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<v Speaker 1>a billion dollar, multi billion dollar valuations, which I guess

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<v Speaker 1>could pan out and probably will pan out in some cases,

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<v Speaker 1>but it is I ordering to see some of these valuations.

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<v Speaker 3>Yeah, what do you.

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<v Speaker 4>Think, I'm pretty bullish. I'm pretty bullish, honestly.

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

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

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<v Speaker 2>people in the world should be using this stuff, and

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

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

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<v Speaker 2>are 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 2>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 with first my first thought of the

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

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

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<v Speaker 1>things through the lens of legacy media, and that they'll

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<v Speaker 1>make you do things that seems sense full to them

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<v Speaker 1>but aren't really doesn't make sense with the new 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 said my resume

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<v Speaker 1>to Netscape, and Mark Hendrison knows about this, but I

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<v Speaker 1>don't think he gave us my resume, 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 can like bump into someone, but

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

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

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<v Speaker 1>So I'll just write sof for myself and see how

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<v Speaker 1>it goes so it wasn't actually from the stand point,

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<v Speaker 1>if I want to start a company, I just want

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<v Speaker 1>to be part of building the Internet in some way.

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<v Speaker 1>And since I couldn't get a job at an ARAT company,

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<v Speaker 1>I had to start an internet company anyway. They from

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<v Speaker 1>an AI will so profoundly change the future.

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<v Speaker 3>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 so well

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<v Speaker 1>and itself, then you'll see ultimately an economy.

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<v Speaker 3>That is.

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<v Speaker 1>Not ten times more than the current economy. Ultimately, if

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<v Speaker 1>we become say or whatever, our future machine descendants or

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<v Speaker 1>but mostly machine descendants become like a chief scale to

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<v Speaker 1>civilization or beyond, we're talking about an economy that is

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<v Speaker 1>thousands of times, maybe millions of times bigger than the

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<v Speaker 1>economy today. Yeah, I did feel a bit like when

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<v Speaker 1>I was in VC taking a lot of flag from

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<v Speaker 1>getting rid of waist and fraud, which is an interesting

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<v Speaker 1>side quest as 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 3>Yeah, I got to get back to the main quest here,

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<v Speaker 3>So back to the main quest.

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<v Speaker 1>But I did feel a little bit like this. It's

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<v Speaker 1>like fixing the government. It's kind of just say, the

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<v Speaker 1>beach is dirty and there's some needles and PCs and

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<v Speaker 1>like trash, and you want to clean up the beach.

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<v Speaker 1>But then there's also this like thousand foot wool of water,

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<v Speaker 1>which is tsunami of AI. And how much does cleaning

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<v Speaker 1>the beach really matter if you go to a thousand

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<v Speaker 1>foot tsunami about to hit.

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<v Speaker 3>Not that much.

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<v Speaker 4>Well, we're glad you're back on the main quest. It's

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<v Speaker 4>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 fool

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<v Speaker 1>like mathem.

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<v Speaker 3>Physics are rigorous judges.

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<v Speaker 1>So I'm used to being in a maximally true seeking

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<v Speaker 1>environment and that's definitely not politics.

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

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<v Speaker 2>I guess I'm curious going back to the Zip tou 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.

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

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

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<v Speaker 2>dot Com, which is 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 2>Yeah, so not everyone does that. A lot of the

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<v Speaker 2>people in this room will have to make that decision. Actually,

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<v Speaker 2>what drove you to jump back into the ring?

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<v Speaker 1>Think I felt for with up too. We'd both like

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<v Speaker 1>incredible technology but never really got to use. I think,

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<v Speaker 1>at least from my perspective, we had better technology than

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<v Speaker 1>say Yahoo or anyone else, but it was constrained by

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<v Speaker 1>our customers. And so I wanted to do something that

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<v Speaker 1>where okay, we wouldn't be constrained by our customers, go

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<v Speaker 1>direct consumer. And that's what ended up being like X

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

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<v Speaker 1>which together created PayPal, and then that actually the sort

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<v Speaker 1>of PayPal diaspora has it. It might have created more

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<v Speaker 1>companies then, so more companies than probably any anything in

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<v Speaker 1>the twenty first century. So many talented people were at

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<v Speaker 1>the combination of Confinity X dot com.

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

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<v Speaker 1>Our wings clift somewhat with ZIP two, and it's okay,

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<v Speaker 1>what if our wings are on clipped and we go

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<v Speaker 1>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 had

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

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<v Speaker 1>arrives in the mail of all places, and in the

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<v Speaker 1>mail and then now then my bank anounce went from

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<v Speaker 1>ten to twenty million in ten thousand. Okay, sluck to

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

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

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

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<v Speaker 1>on 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 why we.

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<v Speaker 1>Had not sent anyone to Mars, and I went on

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<v Speaker 1>the NASA website to find out when we're sending people tomorrow,

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<v Speaker 1>and there was no date. I thought maybe it was

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<v Speaker 1>just hard to find on the website, but in fact,

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<v Speaker 1>there was no real plan to send people to Mars.

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<v Speaker 1>So then I've come to this is such a long story,

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<v Speaker 1>so I don't want to take up too much time here, but.

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<v Speaker 4>I 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 the expressway

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

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<v Speaker 1>and DAAs 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, so, I don't know. I guess maybe I'd

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

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<v Speaker 1>think I could actually do anything commercial in space because

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

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

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<v Speaker 1>that's 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 1>a lot here. But my first idea was to do

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<v Speaker 1>a philanthropic mission to Mars called Life to Mars, where

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<v Speaker 1>would send a small greenhouse with CS and dehydrated nutrient

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<v Speaker 1>gael land out our mosque and grow hydrate the Jael

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<v Speaker 1>and then you'd have this great sort of money shot

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<v Speaker 1>of green plants on a red background. For the longest time,

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

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

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<v Speaker 1>that would be the great shot of green plants on

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<v Speaker 1>a red background. And to try to inspire NASA in

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<v Speaker 1>the public to Santa astronauts to Mars.

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<v Speaker 3>As I learned more, I came to realize along the way.

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<v Speaker 1>By the way, I went to Russia in two thousand

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<v Speaker 1>and one and two thousand and two to buy ICBMs,

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<v Speaker 1>which is that's an adventure where you go and meet

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<v Speaker 1>with Russian high command and say I'd like to buy

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<v Speaker 1>some ICBMs.

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<v Speaker 4>This was to get to space, yeah, 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 arms production talks, they had to actually destroy a

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<v Speaker 1>bunch of their big nuclear pistoles. So I was like,

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

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<v Speaker 1>nuke added an additional upper stage for Mars. But it

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<v Speaker 1>was trippy being in Moscow in 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 kettles are 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>world 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.

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

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<v Speaker 1>It's SpaceX to advance rocket technology to the point where

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<v Speaker 1>we 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. There have been

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<v Speaker 1>various attempts to do commercial rocket companies and then whole

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<v Speaker 1>failed again with SpaceX. Starting SpaceX was really from the

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

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<v Speaker 1>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 impedancemashed to the government, and the government just

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

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

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<v Speaker 1>like a small chance of success is better than no

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<v Speaker 1>chance of success, and so that Yeah, so SpaceX start

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<v Speaker 1>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 probably I said, we're probably going

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<v Speaker 1>to die, but a small 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 the 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 curtains.

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<v Speaker 3>So it was a pretty close thing.

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

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

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

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

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<v Speaker 1>just we made it by the skin of our teeth.

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

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

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<v Speaker 1>eight were called Summer two thousand and eight, the third

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<v Speaker 1>launch of SpaceX had fail, a failure in a row,

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<v Speaker 1>the Tesla financing round had failed, and so Tela was

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<v Speaker 1>going bankrupt fast.

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<v Speaker 3>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 fool is attempting to build a

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<v Speaker 1>rocket company that we got ridiculed quite a lot. And

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

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<v Speaker 1>company doesn't sound like a recipe for success. Frankly, so

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<v Speaker 1>I didn't hold it 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 contractory 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 LFE. 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 said, we're rewarding you one of the contracts to

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<v Speaker 1>resupply the space station. I like literally blurred it out,

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<v Speaker 1>I love you guys, which is not normally what they

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<v Speaker 1>hear because it's usually pretty sober. But I was like, man,

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<v Speaker 1>this is a company saver and then we closed the

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<v Speaker 1>Tesla financing around on the last hour of the last

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<v Speaker 1>day that it was possible, which was six pm December

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<v Speaker 1>twenty fourth, two thousand and eight. We would have bounced

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<v Speaker 1>payroll two days after Christmas if that round hadn't closed.

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<v Speaker 1>So that was a nerve wracking end of two thousand

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

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<v Speaker 2>I guess from your PayPal and zipq experience jumping into

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

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

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

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

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<v Speaker 2>the people here I don't think have even managed a

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

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

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<v Speaker 2>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 it's so hard to

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

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

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

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<v Speaker 1>your feel 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. I think if you aspire to do

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

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

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<v Speaker 4>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 to come work for you?

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<v Speaker 2>What what's the salient thing that you look for or

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<v Speaker 2>if they're.

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<v Speaker 3>As certain question? I guess it's in terms of your

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<v Speaker 3>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 it be to how many people? And that's

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<v Speaker 1>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.

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<v Speaker 3>If you if your.

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<v Speaker 1>Ego to ability ratio is it gets too high, then

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<v Speaker 1>you're going to basically break the feedback loop to reality.

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<v Speaker 1>And in in AI terms, your your er, you'll have

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<v Speaker 1>your you'll break your RL loop. So you want. You

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

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<v Speaker 1>to have a strong r L loop, which means internalizing

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<v Speaker 1>responsibility and minimizing ego, and you do whatever the task is,

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<v Speaker 1>no matter whether it's grand or humble. That's like why

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

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<v Speaker 1>to research. I prefer the term and I don't I

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<v Speaker 1>actually don't want 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>lowist ego terms are that those are generally a good

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

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<v Speaker 1>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.

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<v Speaker 4>About the stuff you've done.

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<v Speaker 2>How do you actually determine your reality because that seems

401
00:19:32.319 --> 00:19:35.240
<v Speaker 2>like a pretty big part of it. Like other people

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00:19:35.319 --> 00:19:39.599
<v Speaker 2>who have never made anything, non engineers, sometimes journalists at

403
00:19:39.599 --> 00:19:42.519
<v Speaker 2>time who've never done anything like they will criticize you.

404
00:19:43.079 --> 00:19:46.200
<v Speaker 2>But then clearly you have another set of people who

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<v Speaker 2>are builders, who have very high area under the curve,

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00:19:50.440 --> 00:19:53.200
<v Speaker 2>who are in your circle. How should people approach that

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<v Speaker 2>what has worked for you and what would you pass

408
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<v Speaker 2>on to X to your children? What do you tell

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<v Speaker 2>them when you're like you need to make your way

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<v Speaker 2>in this world? Here's how to construct a reality. It

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<v Speaker 2>is predictive from first principles.

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<v Speaker 3>The tools of physics are incredibly helpful to understand and

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<v Speaker 3>make progress in any field. First principles means just obviously,

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<v Speaker 3>just means breakings down to the fundamental axiomatic elements that

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<v Speaker 3>are most likely to be true, and then reason up

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<v Speaker 3>from there as cosionally as possible, as opposed to reasoning

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<v Speaker 3>by analysis or metaphor. And then it just simple things

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<v Speaker 3>like thinking in the limit if you extrapolate, minimize this

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<v Speaker 3>thing or maximize that thing.

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<v Speaker 1>Thinking in the limit is very helpful. I use all

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<v Speaker 1>the tools of physics. They apply to any field. This

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<v Speaker 1>is like a superpower. Actually, so you can take, say,

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<v Speaker 1>take an example like rockets. You can say how much

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<v Speaker 1>should a rocket cost? The typical approach to how to

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<v Speaker 1>that people would take how much rocket should cost?

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<v Speaker 3>There is the would look.

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

428
00:20:53.039 --> 00:20:55.240
<v Speaker 1>that any new rocket must be somewhat similar to the

429
00:20:55.279 --> 00:20:58.400
<v Speaker 1>prior cost of rockets. A first principle's approach would be

430
00:20:58.440 --> 00:21:01.119
<v Speaker 1>you look at the materials that rocket is comprised of,

431
00:21:01.200 --> 00:21:05.400
<v Speaker 1>so if that's aluminum, copper, combon, fiber, steel, whatever the

432
00:21:05.440 --> 00:21:08.640
<v Speaker 1>case may be, and say what what how much does

433
00:21:08.680 --> 00:21:10.880
<v Speaker 1>that rocket weigh, and what are the constituent elements and

434
00:21:10.880 --> 00:21:13.319
<v Speaker 1>how much does they weigh? What is the material price

435
00:21:13.359 --> 00:21:16.640
<v Speaker 1>per kilogram of those constituent elements, and that sense the

436
00:21:16.680 --> 00:21:20.480
<v Speaker 1>actual floor on what a rocket can cost. It can

437
00:21:20.519 --> 00:21:24.359
<v Speaker 1>asymptotically approach the cost of the row materials, and then

438
00:21:24.359 --> 00:21:26.960
<v Speaker 1>you realize, oh, actually a rocket, the row materials of

439
00:21:26.960 --> 00:21:29.599
<v Speaker 1>a rocket are only maybe one or two percent of

440
00:21:29.720 --> 00:21:34.200
<v Speaker 1>the historical cost of a rocket, so the manufacturing must

441
00:21:34.240 --> 00:21:38.599
<v Speaker 1>necessarily be very inefficient if the if the row material

442
00:21:38.680 --> 00:21:40.839
<v Speaker 1>cost is only one or two percent, would have cost

443
00:21:40.839 --> 00:21:44.920
<v Speaker 1>principles analysis of the potential for the cost for cost

444
00:21:44.920 --> 00:21:47.960
<v Speaker 1>optimization of a rocket. And that's before you get to reusability.

445
00:21:48.519 --> 00:21:51.240
<v Speaker 1>To give an AI sort of AI example last year

446
00:21:51.279 --> 00:21:55.039
<v Speaker 1>went for XAI when we were trying to build a

447
00:21:55.079 --> 00:21:59.039
<v Speaker 1>training supercluster. We went to the various suppliers to ask

448
00:22:00.119 --> 00:22:02.880
<v Speaker 1>it said, this is the beginning last year that we

449
00:22:02.920 --> 00:22:05.279
<v Speaker 1>needed one hundred thousand, h one hundreds to be able

450
00:22:05.279 --> 00:22:09.519
<v Speaker 1>to train coherently, and there are estimates for how long

451
00:22:09.519 --> 00:22:11.640
<v Speaker 1>it would take to complete that were eighteen to twenty

452
00:22:11.680 --> 00:22:14.119
<v Speaker 1>four months, so we need to get that done in

453
00:22:14.160 --> 00:22:18.599
<v Speaker 1>six months so then or we won't be competitive. So

454
00:22:18.640 --> 00:22:20.920
<v Speaker 1>then if you break that down, what are the things

455
00:22:20.920 --> 00:22:23.279
<v Speaker 1>you need? We need a building, you need power, you

456
00:22:23.279 --> 00:22:26.960
<v Speaker 1>need cooling. We didn't have enough time to build a

457
00:22:26.960 --> 00:22:29.400
<v Speaker 1>building from scratch, so we've had to find existing building.

458
00:22:29.400 --> 00:22:31.799
<v Speaker 1>So we found a factory that was no longer in

459
00:22:31.920 --> 00:22:35.960
<v Speaker 1>use in Memphis that used to build electrolytes products. But

460
00:22:36.039 --> 00:22:38.640
<v Speaker 1>then the input power was fifteen megawatts and we needed

461
00:22:38.640 --> 00:22:42.079
<v Speaker 1>one hundred and fifteen megawats. We read the generators and

462
00:22:42.160 --> 00:22:44.319
<v Speaker 1>had generators on one side of the building, and then

463
00:22:44.319 --> 00:22:46.079
<v Speaker 1>we have to have cooling, so we rented about a

464
00:22:46.119 --> 00:22:48.000
<v Speaker 1>quarter of the mobile cooling capacity of the US and

465
00:22:48.000 --> 00:22:49.799
<v Speaker 1>put the chillers on the other side of the building.

466
00:22:50.480 --> 00:22:52.559
<v Speaker 1>But that didn't fully solve the problem because the volted

467
00:22:52.880 --> 00:22:56.640
<v Speaker 1>the power variations during training are very big, so you

468
00:22:56.640 --> 00:22:59.559
<v Speaker 1>can have power can drop by fifty percent in one

469
00:22:59.599 --> 00:23:02.359
<v Speaker 1>hundred milli seconds, which the generators can't keep up with.

470
00:23:02.400 --> 00:23:06.240
<v Speaker 1>So then we added Tesla megapacks and modified the software

471
00:23:06.279 --> 00:23:08.079
<v Speaker 1>in the megapacks to be able to just move out

472
00:23:08.119 --> 00:23:11.720
<v Speaker 1>the power variation during the training run. And then there

473
00:23:11.720 --> 00:23:15.759
<v Speaker 1>were a bunch of networking challenges the networking cables. If

474
00:23:15.759 --> 00:23:18.960
<v Speaker 1>you're trying to make one hundred thousand GPUs training coherently

475
00:23:19.000 --> 00:23:20.240
<v Speaker 1>of very challenging.

476
00:23:20.039 --> 00:23:22.359
<v Speaker 2>Almost it sounds almost any of those things you mentioned,

477
00:23:22.759 --> 00:23:26.480
<v Speaker 2>I could imagine someone telling you very directly, no, you

478
00:23:26.559 --> 00:23:28.960
<v Speaker 2>can't have that, you can't have that power, you can't

479
00:23:29.000 --> 00:23:31.480
<v Speaker 2>have this. And it sounds like one of the salient

480
00:23:31.519 --> 00:23:35.400
<v Speaker 2>pieces of first principles thinking is actually, let's ask why,

481
00:23:35.599 --> 00:23:38.920
<v Speaker 2>let's figure that out, and actually let's challenge the person

482
00:23:39.079 --> 00:23:42.400
<v Speaker 2>across the table, and if they if I don't get

483
00:23:42.400 --> 00:23:44.839
<v Speaker 2>an answer that I feel good about, I'm going to

484
00:23:45.359 --> 00:23:47.400
<v Speaker 2>not allow that to be I'm not going to let

485
00:23:47.400 --> 00:23:48.279
<v Speaker 2>that know to stand.

486
00:23:48.839 --> 00:23:49.759
<v Speaker 4>Is that that feels like.

487
00:23:49.720 --> 00:23:53.799
<v Speaker 2>Something that everyone, if someone were to try to do

488
00:23:53.880 --> 00:23:56.839
<v Speaker 2>what you're doing in hardware, seems to uniquely need this.

489
00:23:57.200 --> 00:24:00.039
<v Speaker 4>In software, we have lots of fluff.

490
00:23:59.759 --> 00:24:02.839
<v Speaker 2>And it's like we can add more CPUs for that,

491
00:24:02.920 --> 00:24:05.200
<v Speaker 2>it'll be fine, But in hardware it's just not going

492
00:24:05.279 --> 00:24:05.640
<v Speaker 2>to work.

493
00:24:06.160 --> 00:24:09.400
<v Speaker 3>I think these general principles of first principle thinking apply

494
00:24:09.480 --> 00:24:11.759
<v Speaker 3>to software and hardware apply to anything. Really.

495
00:24:12.200 --> 00:24:15.319
<v Speaker 1>I'm just using a hardware example of how we were

496
00:24:15.319 --> 00:24:17.680
<v Speaker 1>told something is impossible. But once we broke it down

497
00:24:17.680 --> 00:24:20.119
<v Speaker 1>into the constituent elements of we need a building, we

498
00:24:20.160 --> 00:24:23.200
<v Speaker 1>need power, we need cooling, we need we need power smoothing,

499
00:24:23.519 --> 00:24:26.920
<v Speaker 1>and then we could solve those constituent elements. And then

500
00:24:26.920 --> 00:24:29.839
<v Speaker 1>we just ran the networking operation to do all the

501
00:24:29.839 --> 00:24:33.240
<v Speaker 1>cabling everything in four shifts twenty four to seven. And

502
00:24:33.319 --> 00:24:35.559
<v Speaker 1>I was like sleeping in the data center and also

503
00:24:35.599 --> 00:24:38.039
<v Speaker 1>doing cabling myself, and there were a lot of other

504
00:24:38.119 --> 00:24:40.839
<v Speaker 1>issues to solve. Nobody had done a training runt with

505
00:24:40.880 --> 00:24:44.880
<v Speaker 1>one hundred thousand, h one hundreds training coherently last year.

506
00:24:45.079 --> 00:24:46.799
<v Speaker 3>I mean maybe it's been done this year. I don't know.

507
00:24:47.319 --> 00:24:49.839
<v Speaker 1>And then we ended up doubling that to two hundred thousand,

508
00:24:50.200 --> 00:24:52.759
<v Speaker 1>and so now we've got one hundred and fifty thousand,

509
00:24:52.839 --> 00:24:56.480
<v Speaker 1>h one hundred fifty k H two hundreds and thirty

510
00:24:56.559 --> 00:25:00.640
<v Speaker 1>k GB two hundreds in the Memphis training center, and

511
00:25:00.640 --> 00:25:03.000
<v Speaker 1>we're about to bring one hundred and ten thousand GB

512
00:25:03.119 --> 00:25:06.640
<v Speaker 1>two hundreds online at a second data center also in

513
00:25:06.720 --> 00:25:07.720
<v Speaker 1>Memphis area.

514
00:25:08.079 --> 00:25:10.119
<v Speaker 2>Is it your view that pre training is still working

515
00:25:10.799 --> 00:25:16.039
<v Speaker 2>and larger. The scaling laws still hold, and whoever wins

516
00:25:16.240 --> 00:25:19.799
<v Speaker 2>this race will have basically the biggest, smartest possible model

517
00:25:19.799 --> 00:25:21.839
<v Speaker 2>that you could distill.

518
00:25:21.839 --> 00:25:27.039
<v Speaker 1>There's other various elements that side competitiveness for large AI

519
00:25:27.680 --> 00:25:31.400
<v Speaker 1>is for sure, the talent of the people matter. The

520
00:25:31.440 --> 00:25:34.279
<v Speaker 1>scale of the hardware matters, and how well you're able

521
00:25:34.319 --> 00:25:36.160
<v Speaker 1>to bring that hardware to bear. So you can't just

522
00:25:36.279 --> 00:25:39.559
<v Speaker 1>order a whole bunch of GPUs and they don't. You

523
00:25:39.559 --> 00:25:42.000
<v Speaker 1>can't just plug them in. So you've got to get

524
00:25:42.039 --> 00:25:45.359
<v Speaker 1>a lot of GPUs and have them training coherently and stavely.

525
00:25:46.440 --> 00:25:48.839
<v Speaker 3>Then it's what unique access to data do you have.

526
00:25:49.359 --> 00:25:52.240
<v Speaker 1>I guess distribution matters to some degree as well, like

527
00:25:52.279 --> 00:25:54.400
<v Speaker 1>how do people get exposed to your AI? Those are

528
00:25:54.400 --> 00:25:56.920
<v Speaker 1>those are critical pactores for if it's going to be

529
00:25:56.960 --> 00:26:00.960
<v Speaker 1>like a large foundation model as competitive as many have said.

530
00:26:01.000 --> 00:26:04.400
<v Speaker 1>I think my friend Eliasitzkayer said, we'd run out of

531
00:26:04.400 --> 00:26:08.200
<v Speaker 1>pre training data of human generated Like human generated data,

532
00:26:08.240 --> 00:26:11.079
<v Speaker 1>you run out of tokens pretty fast, of certainly of

533
00:26:11.160 --> 00:26:16.680
<v Speaker 1>high quality tokens, and then you have to do a

534
00:26:16.720 --> 00:26:20.599
<v Speaker 1>lot of You need to essentially create synthetic data and

535
00:26:20.680 --> 00:26:23.480
<v Speaker 1>be able to accurately judge the synthetic data that you're creating,

536
00:26:24.359 --> 00:26:27.279
<v Speaker 1>Like is this real synthetic data? Well, is it an

537
00:26:27.319 --> 00:26:31.920
<v Speaker 1>hallucination that doesn't actually match reality? So achieving grounding and

538
00:26:31.960 --> 00:26:34.039
<v Speaker 1>reality is tricky, but we are at the stage where

539
00:26:35.400 --> 00:26:39.599
<v Speaker 1>there's more effort put into synthetic data. Right now, we're

540
00:26:39.920 --> 00:26:43.039
<v Speaker 1>training Grock three point five, which is a heavy focus

541
00:26:43.039 --> 00:26:43.720
<v Speaker 1>on reasoning.

542
00:26:44.160 --> 00:26:46.119
<v Speaker 2>Going back to your physics point, what I heard for

543
00:26:46.240 --> 00:26:50.799
<v Speaker 2>reasoning is the hard science, particularly physics textbooks, are very

544
00:26:50.880 --> 00:26:54.200
<v Speaker 2>useful for reasoning, whereas I think researchers have told me

545
00:26:54.240 --> 00:26:57.359
<v Speaker 2>that social science is totally useless for reasoning.

546
00:26:58.799 --> 00:27:01.319
<v Speaker 3>Yes, that's probably true.

547
00:27:01.599 --> 00:27:04.680
<v Speaker 1>So, yeah, there's something that's going to be very important

548
00:27:04.720 --> 00:27:09.200
<v Speaker 1>in the future is combining deep AI in the data

549
00:27:09.200 --> 00:27:14.680
<v Speaker 1>center or supercluster with robotics. So that's things like the

550
00:27:14.720 --> 00:27:17.759
<v Speaker 1>Optimist humanoid robot, and yeah, Optimist is awesome.

551
00:27:18.160 --> 00:27:19.000
<v Speaker 3>There's going to be so.

552
00:27:18.920 --> 00:27:22.200
<v Speaker 1>Many humanoid robots and robots of all sizes and shapes.

553
00:27:22.240 --> 00:27:25.240
<v Speaker 1>But my prediction is that there will be more humanoid

554
00:27:25.359 --> 00:27:28.720
<v Speaker 1>robots by far than all other robots combined by maybe

555
00:27:28.720 --> 00:27:30.920
<v Speaker 1>an order of magnitude, like a big difference.

556
00:27:31.720 --> 00:27:34.640
<v Speaker 4>And is it true that you're planning a robot army of.

557
00:27:34.599 --> 00:27:38.519
<v Speaker 1>The sort, whether we do it or where the Tesla

558
00:27:38.559 --> 00:27:42.000
<v Speaker 1>does it, because it works closely with XAI. You've seen

559
00:27:42.000 --> 00:27:44.400
<v Speaker 1>how many humanoid robot startups are there. It's I think

560
00:27:44.480 --> 00:27:48.599
<v Speaker 1>Jensen bongs on stage with a lot with a massive

561
00:27:48.640 --> 00:27:52.440
<v Speaker 1>number of robots, robots from different companies. I think it

562
00:27:52.559 --> 00:27:57.000
<v Speaker 1>was like a dozen different humanoid robots. I guess part

563
00:27:57.039 --> 00:27:59.319
<v Speaker 1>of what I've been fighting and maybe what has slowed

564
00:27:59.319 --> 00:28:01.799
<v Speaker 1>me down somewhat is I'm a little don't I don't

565
00:28:01.799 --> 00:28:07.160
<v Speaker 1>want to make Terminator real, you know, So I I guess,

566
00:28:07.759 --> 00:28:11.240
<v Speaker 1>at least until recent years, dragging my feet on on

567
00:28:11.359 --> 00:28:15.160
<v Speaker 1>AI and humanoid robotics, and then I come to realize

568
00:28:15.160 --> 00:28:16.799
<v Speaker 1>that realization it's happening.

569
00:28:16.480 --> 00:28:19.759
<v Speaker 3>Whether I do it or not. So you got really

570
00:28:19.759 --> 00:28:21.160
<v Speaker 3>two choices, participant.

571
00:28:21.319 --> 00:28:24.279
<v Speaker 1>You could either be a spectator or a participant, and

572
00:28:24.359 --> 00:28:26.880
<v Speaker 1>so I guess I'd rather be a participant than a spectator.

573
00:28:27.920 --> 00:28:30.720
<v Speaker 1>So now it's pedals to the metal on humanoid robots

574
00:28:30.759 --> 00:28:32.400
<v Speaker 1>and digital superintelligence.

575
00:28:33.119 --> 00:28:35.400
<v Speaker 2>So I guess there's a third thing that everyone has

576
00:28:35.440 --> 00:28:37.240
<v Speaker 2>heard you talk a lot about that I'm really a

577
00:28:37.240 --> 00:28:39.960
<v Speaker 2>big fan of becoming a multiplanetary species.

578
00:28:40.480 --> 00:28:41.359
<v Speaker 4>Where does this fit.

579
00:28:41.440 --> 00:28:43.680
<v Speaker 2>This is all not just a ten or twenty year thing,

580
00:28:43.720 --> 00:28:46.440
<v Speaker 2>maybe one hundred year thing, like it's a multi many

581
00:28:46.519 --> 00:28:48.519
<v Speaker 2>generations for humanity kind of thing.

582
00:28:49.240 --> 00:28:50.279
<v Speaker 4>How do you think about it?

583
00:28:50.359 --> 00:28:54.960
<v Speaker 2>There's AI obviously, there's embodied robotics, and then there's being

584
00:28:54.960 --> 00:28:59.079
<v Speaker 2>a multiplant, multiplanetary species. Does everything feed into that last

585
00:28:59.119 --> 00:29:01.839
<v Speaker 2>point or what are you driven by right now for

586
00:29:01.880 --> 00:29:04.079
<v Speaker 2>the next ten to twenty one hundred years?

587
00:29:04.559 --> 00:29:07.480
<v Speaker 1>Jeez, one hundred years, man. I hope civilizations around in

588
00:29:07.519 --> 00:29:10.039
<v Speaker 1>one hundred years. If it is around, it's going to

589
00:29:10.079 --> 00:29:13.799
<v Speaker 1>look very different from civilization today. Not predict that this

590
00:29:14.519 --> 00:29:18.039
<v Speaker 1>going to be at least five times as many humanoid

591
00:29:18.119 --> 00:29:22.599
<v Speaker 1>robots as there are humans, maybe ten times. One way

592
00:29:22.640 --> 00:29:25.640
<v Speaker 1>to look at the progress of civilization is percentage completion

593
00:29:25.759 --> 00:29:29.480
<v Speaker 1>karda chev So if you're in a kard Chef scale one,

594
00:29:29.519 --> 00:29:33.039
<v Speaker 1>you've you've honest all the energy of a planet. In

595
00:29:33.079 --> 00:29:36.240
<v Speaker 1>my opinion, we've only honessed maybe one or two percent

596
00:29:36.480 --> 00:29:39.279
<v Speaker 1>of Earth's energy, so we've got a long way to

597
00:29:39.279 --> 00:29:43.400
<v Speaker 1>go to be Kardschef scale one. Then Cardship two you've

598
00:29:43.559 --> 00:29:46.680
<v Speaker 1>honest all the energy of the Sun, which would be

599
00:29:46.759 --> 00:29:49.599
<v Speaker 1>I don't know, a billion times more energy than Earth

600
00:29:49.720 --> 00:29:53.279
<v Speaker 1>maybe closer to a trillion, and then Cardschep three would

601
00:29:53.279 --> 00:29:56.759
<v Speaker 1>be only energy of a galaxy, pretty far from that.

602
00:29:57.799 --> 00:30:01.759
<v Speaker 1>So we're at the very early stage of the intelligence

603
00:30:01.799 --> 00:30:05.920
<v Speaker 1>big bang. I hope we're in terms of being multiplanetary,

604
00:30:05.960 --> 00:30:10.640
<v Speaker 1>like I think. I think we'll have enough mass transferred

605
00:30:10.680 --> 00:30:14.680
<v Speaker 1>to Mars within like roughly thirty years to make Mars

606
00:30:14.720 --> 00:30:17.880
<v Speaker 1>self sustaining such that Mars can continue to grow and

607
00:30:17.960 --> 00:30:20.920
<v Speaker 1>prosper even if the resupply shifts from Earth stuff coming,

608
00:30:21.880 --> 00:30:26.680
<v Speaker 1>and that greatly increases the probable lifespan of civilization or

609
00:30:26.720 --> 00:30:32.759
<v Speaker 1>consciousness and intelligence, both biological and digital. So that's why

610
00:30:32.759 --> 00:30:35.000
<v Speaker 1>I think it's important to become a multiplanet species. And

611
00:30:35.039 --> 00:30:37.319
<v Speaker 1>I'm so much troubled by the filmy paradox, like why

612
00:30:37.599 --> 00:30:40.880
<v Speaker 1>have we not seen any aliens? And it could be

613
00:30:40.880 --> 00:30:45.519
<v Speaker 1>because intelligence is incredibly rare, and maybe we're the only

614
00:30:45.599 --> 00:30:50.559
<v Speaker 1>ones in this galaxy, in which case the intelligence of

615
00:30:50.599 --> 00:30:53.759
<v Speaker 1>consciousness is just the tiny candle in a vast dogness,

616
00:30:54.559 --> 00:30:56.759
<v Speaker 1>and we should do everything possible to ensure the tiny

617
00:30:57.480 --> 00:31:01.279
<v Speaker 1>candle does not go out. And being a multiplanet species

618
00:31:01.759 --> 00:31:06.799
<v Speaker 1>or making consciousness multiplanetary, greatly improves the probable lifespan of civilization,

619
00:31:07.480 --> 00:31:10.880
<v Speaker 1>and it's the next step before going to other star systems.

620
00:31:11.799 --> 00:31:13.720
<v Speaker 1>Once you at least have two planets, then you've got

621
00:31:13.759 --> 00:31:17.599
<v Speaker 1>a forcing function for the improvement of space travel, and

622
00:31:17.599 --> 00:31:22.000
<v Speaker 1>that ultimately is what will lead to consciousness expanding to

623
00:31:22.000 --> 00:31:22.759
<v Speaker 1>the stars.

624
00:31:23.359 --> 00:31:26.519
<v Speaker 2>It could be that the Fermi paradox dictates once you

625
00:31:26.559 --> 00:31:29.920
<v Speaker 2>get to some level of technology, you destroy yourself. How

626
00:31:29.920 --> 00:31:32.440
<v Speaker 2>do we see ourselves? How do we actually what would

627
00:31:32.480 --> 00:31:36.440
<v Speaker 2>you prescribe to a room full of engineers? What can

628
00:31:36.480 --> 00:31:38.400
<v Speaker 2>we do to prevent that from happening?

629
00:31:39.119 --> 00:31:41.720
<v Speaker 1>Yeah, how do we avoid the great filters? One of

630
00:31:41.720 --> 00:31:44.200
<v Speaker 1>the great filters would obviously be global term nuclear war,

631
00:31:45.119 --> 00:31:48.759
<v Speaker 1>So we should try to avoid that. I guess building

632
00:31:48.799 --> 00:31:52.400
<v Speaker 1>benign AI robots that AI that loves.

633
00:31:52.200 --> 00:31:55.319
<v Speaker 3>Humanity, and robots that are helpful.

634
00:31:56.160 --> 00:31:59.079
<v Speaker 1>Something that I think is extremely important in building AI

635
00:31:59.400 --> 00:32:02.720
<v Speaker 1>is a very rigorous adherence to truth, even if that

636
00:32:02.799 --> 00:32:08.400
<v Speaker 1>truth is politically incorrect. My intuition for what could make

637
00:32:08.599 --> 00:32:12.519
<v Speaker 1>AI very dangerous is if you force AI to believe

638
00:32:12.559 --> 00:32:13.480
<v Speaker 1>things that are not true.

639
00:32:13.880 --> 00:32:17.160
<v Speaker 2>How do you think about there's this argument for open

640
00:32:17.200 --> 00:32:20.680
<v Speaker 2>for safety versus closed for competitive edge. I think the

641
00:32:20.720 --> 00:32:23.200
<v Speaker 2>great thing is you have a competitive model. Many other

642
00:32:23.240 --> 00:32:26.680
<v Speaker 2>people also have competitive models, and in that sense we're

643
00:32:26.720 --> 00:32:29.480
<v Speaker 2>off of. Maybe the worst timeline that I'd be worried

644
00:32:29.519 --> 00:32:31.839
<v Speaker 2>about is there's fast takeoff and it's only in one

645
00:32:31.880 --> 00:32:36.680
<v Speaker 2>person's hands that might collapse a lot of things, whereas

646
00:32:37.000 --> 00:32:38.680
<v Speaker 2>now we have choice, which is great.

647
00:32:39.039 --> 00:32:40.119
<v Speaker 4>How do you think about this?

648
00:32:41.440 --> 00:32:46.079
<v Speaker 1>I do think there will be several deep intelligences, maybe

649
00:32:46.079 --> 00:32:50.759
<v Speaker 1>maybe at least five, maybe this much as ten. I'm

650
00:32:50.799 --> 00:32:52.440
<v Speaker 1>not sure that there's going to be hundreds, but it's

651
00:32:52.440 --> 00:32:54.680
<v Speaker 1>probably close. Like maybe it'll be like ten or something

652
00:32:54.720 --> 00:32:58.319
<v Speaker 1>like that, of which maybe four will be in the

653
00:32:58.440 --> 00:33:00.359
<v Speaker 1>US so.

654
00:33:02.720 --> 00:33:03.519
<v Speaker 3>And I don't think it's.

655
00:33:03.440 --> 00:33:07.559
<v Speaker 1>Going to be anyone AI that that has run away capability.

656
00:33:08.160 --> 00:33:10.519
<v Speaker 1>But yeah, several deep intelligences.

657
00:33:10.960 --> 00:33:14.160
<v Speaker 2>What will these deep intelligences actually be doing? Will it

658
00:33:14.200 --> 00:33:16.599
<v Speaker 2>be scientific research or trying to hack each other?

659
00:33:17.960 --> 00:33:21.160
<v Speaker 1>Probably all of the above. Hopefully they will discover new physics,

660
00:33:21.200 --> 00:33:24.880
<v Speaker 1>and I think they're very They're definitely going to invent

661
00:33:24.920 --> 00:33:29.240
<v Speaker 1>new technologies. I think we're quite close to digital superintelligence.

662
00:33:30.799 --> 00:33:34.160
<v Speaker 1>It may happen this year, and if it doesn't happen

663
00:33:34.160 --> 00:33:38.039
<v Speaker 1>this next year, for sure. A digital superintelligence defined as

664
00:33:39.039 --> 00:33:41.039
<v Speaker 1>smarter than any human at anything.

665
00:33:41.759 --> 00:33:44.440
<v Speaker 2>So how do we direct that to super abundance we have,

666
00:33:44.640 --> 00:33:48.759
<v Speaker 2>we could have robotic labor, we have cheap energy, intelligence

667
00:33:48.799 --> 00:33:49.400
<v Speaker 2>on demand.

668
00:33:49.920 --> 00:33:51.279
<v Speaker 4>Is that sort of the white pill?

669
00:33:51.640 --> 00:33:51.759
<v Speaker 3>Like?

670
00:33:51.920 --> 00:33:54.599
<v Speaker 2>Where do you sit on the spectrum? And are there

671
00:33:54.720 --> 00:33:58.160
<v Speaker 2>tangible things that you would encourage everyone here to be

672
00:33:58.759 --> 00:34:01.680
<v Speaker 2>working on to make that white pill actually reality?

673
00:34:03.680 --> 00:34:06.960
<v Speaker 3>I think it most likely will be a good outcome.

674
00:34:07.680 --> 00:34:10.119
<v Speaker 1>I guess i'd agree with Jeff Hinton that maybe it's

675
00:34:10.159 --> 00:34:12.960
<v Speaker 1>a ten to twenty percent chance of annihilation, but look

676
00:34:13.000 --> 00:34:15.480
<v Speaker 1>on the bright side, that's eighty to ninety percent probably

677
00:34:15.519 --> 00:34:20.320
<v Speaker 1>of a great outcome. So yeah, I can't emphasize this enough.

678
00:34:20.400 --> 00:34:24.079
<v Speaker 1>A rigorous adherence to truth is the most important thing

679
00:34:24.119 --> 00:34:29.159
<v Speaker 1>for AI safety. Safety obviously, empathy for humanity and life

680
00:34:29.159 --> 00:34:29.800
<v Speaker 1>as we know it.

681
00:34:30.599 --> 00:34:34.400
<v Speaker 2>We haven't talked about neuralink at all yet, but I'm curious.

682
00:34:34.719 --> 00:34:37.559
<v Speaker 2>You're working on closing the input and output gap between

683
00:34:37.760 --> 00:34:42.599
<v Speaker 2>humans and machines. How critical is that to agi ASI?

684
00:34:42.639 --> 00:34:45.599
<v Speaker 2>And once that link is made, can we not only

685
00:34:45.639 --> 00:34:46.920
<v Speaker 2>read but also write?

686
00:34:47.599 --> 00:34:52.000
<v Speaker 1>The neuralink is not necessary to solve digital superintelligence. That'll

687
00:34:52.000 --> 00:34:57.960
<v Speaker 1>happen before neuralink is at scale. But what neuralink can

688
00:34:58.000 --> 00:35:05.440
<v Speaker 1>effectively do is solve the output bandwidth constraints especially our output.

689
00:35:04.519 --> 00:35:05.519
<v Speaker 3>Bandwidth is very low.

690
00:35:05.679 --> 00:35:09.840
<v Speaker 1>The out the sustained output of a human over the

691
00:35:09.880 --> 00:35:11.960
<v Speaker 1>course of a day is less than one but per second,

692
00:35:12.840 --> 00:35:15.199
<v Speaker 1>So there's eighty six four hundred seconds in a day,

693
00:35:15.639 --> 00:35:18.239
<v Speaker 1>and it's extremely rare for a human to output more

694
00:35:18.280 --> 00:35:18.679
<v Speaker 1>than that.

695
00:35:18.760 --> 00:35:21.519
<v Speaker 3>Number of symbols per day, simainly for several days in

696
00:35:21.519 --> 00:35:21.880
<v Speaker 3>a row.

697
00:35:22.239 --> 00:35:26.519
<v Speaker 1>So you really within your link interface you can massively

698
00:35:26.559 --> 00:35:30.440
<v Speaker 1>increase your output bandwidth and your input band with input being.

699
00:35:30.440 --> 00:35:33.519
<v Speaker 3>Right to you have to do right operations to the brain.

700
00:35:34.360 --> 00:35:39.199
<v Speaker 1>We have now five humans who have received the kind

701
00:35:39.199 --> 00:35:42.840
<v Speaker 1>of the read input where it's reading signals, and you've

702
00:35:42.840 --> 00:35:46.960
<v Speaker 1>got people with als who really have their tetraplegics, but

703
00:35:47.039 --> 00:35:50.679
<v Speaker 1>they can now communicate at with a similar bandwidth to

704
00:35:51.039 --> 00:35:54.199
<v Speaker 1>a human with a fully functioning body and control their

705
00:35:54.239 --> 00:35:58.079
<v Speaker 1>computer and phone, which is pretty cool. And then I

706
00:35:58.119 --> 00:36:00.559
<v Speaker 1>think in the next six to twelve month we'll be

707
00:36:00.639 --> 00:36:04.159
<v Speaker 1>doing our first implants for vision, where even if somebody

708
00:36:04.199 --> 00:36:08.639
<v Speaker 1>is completely blind, we can write directly to the visual cortex.

709
00:36:09.119 --> 00:36:12.119
<v Speaker 1>And we've had that working in monkeys. Actually, I think

710
00:36:12.599 --> 00:36:15.280
<v Speaker 1>one of our monkeys now has had a visual implant

711
00:36:15.280 --> 00:36:19.079
<v Speaker 1>for three years. And at first it'll be relatively fairly

712
00:36:19.199 --> 00:36:22.000
<v Speaker 1>low resolution, but long term you would have very high

713
00:36:22.039 --> 00:36:26.800
<v Speaker 1>resolution and be able to see multi spectral wavelengths. You

714
00:36:26.840 --> 00:36:31.480
<v Speaker 1>could see an infrared ultraviolet radar like a superpower situation,

715
00:36:31.800 --> 00:36:34.920
<v Speaker 1>but like at some point the cybernetic implants would not

716
00:36:35.000 --> 00:36:39.079
<v Speaker 1>simply be correcting things that went wrong, but augmenting human

717
00:36:39.079 --> 00:36:44.159
<v Speaker 1>capabilities dramatically, augmenting intelligence and sensors.

718
00:36:44.480 --> 00:36:46.039
<v Speaker 3>And bandwidth dramatically.

719
00:36:46.239 --> 00:36:48.519
<v Speaker 1>And that's going to happen at some point, but digital

720
00:36:48.599 --> 00:36:50.440
<v Speaker 1>superintelligence will happen well before that.

721
00:36:51.920 --> 00:36:52.920
<v Speaker 3>At least if we had.

722
00:36:53.239 --> 00:36:57.719
<v Speaker 1>A neural link, we'll be able to appreciate the AI better.

723
00:36:58.840 --> 00:37:01.199
<v Speaker 2>I guess one of the limiting reagents to all of

724
00:37:01.239 --> 00:37:05.400
<v Speaker 2>your efforts across all of these different domains is access.

725
00:37:05.039 --> 00:37:06.639
<v Speaker 4>To the smartest possible people.

726
00:37:07.320 --> 00:37:11.599
<v Speaker 2>Yes, simultaneous to that, we have the rocks can talk

727
00:37:11.639 --> 00:37:14.719
<v Speaker 2>and reason, and they're maybe one hundred and thirty IQ now,

728
00:37:14.760 --> 00:37:18.840
<v Speaker 2>and they're probably going to be super intelligent soon. How

729
00:37:18.840 --> 00:37:21.239
<v Speaker 2>do you reconcile those two things. What's going to happen

730
00:37:21.320 --> 00:37:23.880
<v Speaker 2>in five ten years? And what should the people in

731
00:37:23.880 --> 00:37:26.639
<v Speaker 2>this room do to make sure that they're the ones

732
00:37:26.679 --> 00:37:29.960
<v Speaker 2>who are creating instead of maybe below the API line.

733
00:37:30.840 --> 00:37:33.239
<v Speaker 1>They called it the singularity for a reason, because we

734
00:37:33.239 --> 00:37:36.039
<v Speaker 1>don't know what's going to happen in the not that

735
00:37:36.320 --> 00:37:39.840
<v Speaker 1>far future. The percentage of intelligence that is human will

736
00:37:39.880 --> 00:37:43.000
<v Speaker 1>be quite small. At some point, the collective some of

737
00:37:43.079 --> 00:37:46.239
<v Speaker 1>human intelligence will be less than one percent of all intelligence.

738
00:37:47.880 --> 00:37:50.400
<v Speaker 1>And if things get to a clot a ship level two,

739
00:37:51.679 --> 00:37:56.360
<v Speaker 1>we're talking about human intelligence. Even assuming a significant increase

740
00:37:56.400 --> 00:38:02.840
<v Speaker 1>in human population and intelligence augmentation like massive intelligence augmentation

741
00:38:02.920 --> 00:38:04.920
<v Speaker 1>where everyone has an IQ of AE thousand type of thing.

742
00:38:05.559 --> 00:38:08.920
<v Speaker 1>Even in that circumstance, collective human intelligence will be probably

743
00:38:09.000 --> 00:38:14.239
<v Speaker 1>one billion that of digital intelligence. Anyway, where the biological

744
00:38:14.239 --> 00:38:16.199
<v Speaker 1>boot bootloader for digital superintelligence?

745
00:38:16.960 --> 00:38:22.239
<v Speaker 4>I guess just to end off, was I It was like,

746
00:38:22.440 --> 00:38:24.159
<v Speaker 4>was I a good bootloader? Where do we go? How

747
00:38:24.159 --> 00:38:25.039
<v Speaker 4>do we go from here?

748
00:38:25.079 --> 00:38:27.400
<v Speaker 2>All of this is pretty wild sci fi stuff that

749
00:38:27.519 --> 00:38:30.920
<v Speaker 2>also could be built by the people in this room.

750
00:38:32.159 --> 00:38:34.960
<v Speaker 2>But if you do, you have a closing thought for

751
00:38:35.000 --> 00:38:39.519
<v Speaker 2>the smartest technical people of this generation right now, what

752
00:38:39.519 --> 00:38:41.519
<v Speaker 2>should they be doing? What should they be working on?

753
00:38:41.559 --> 00:38:43.840
<v Speaker 2>What should they be thinking about tonight as they go

754
00:38:43.920 --> 00:38:44.400
<v Speaker 2>to dinner?

755
00:38:46.920 --> 00:38:48.920
<v Speaker 1>As I saw Rofe with, I think if you're doing

756
00:38:49.000 --> 00:38:51.119
<v Speaker 1>something useful, that's great.

757
00:38:51.559 --> 00:38:53.119
<v Speaker 3>If you just try to be as useful.

758
00:38:52.920 --> 00:38:56.039
<v Speaker 1>As possible to your fellow human beings, and that then

759
00:38:56.079 --> 00:38:58.719
<v Speaker 1>you're doing something good. I keep harping on this, like

760
00:38:58.840 --> 00:39:02.880
<v Speaker 1>focus on super truthful AI. That's the most important thing

761
00:39:02.880 --> 00:39:03.719
<v Speaker 1>for AI safety.

762
00:39:04.519 --> 00:39:04.880
<v Speaker 3>Obviously.

763
00:39:04.920 --> 00:39:08.280
<v Speaker 1>If anyone's interested in working at XAI, let me please

764
00:39:08.320 --> 00:39:10.920
<v Speaker 1>let us know. We're aiming to make Rock the Maximum

765
00:39:10.920 --> 00:39:13.599
<v Speaker 1>a truth seeking AI, and I think that's.

766
00:39:13.480 --> 00:39:14.280
<v Speaker 3>A very important thing.

767
00:39:15.039 --> 00:39:17.239
<v Speaker 1>Hopefully we can understand the nature of the universe, that's

768
00:39:17.239 --> 00:39:20.840
<v Speaker 1>really what AI can hopefully tell us.

769
00:39:21.039 --> 00:39:21.800
<v Speaker 3>Maybe AI can.

770
00:39:21.719 --> 00:39:25.159
<v Speaker 1>Maybe tell us where are the aliens, and how did

771
00:39:25.199 --> 00:39:26.239
<v Speaker 1>the universe really start?

772
00:39:26.679 --> 00:39:27.480
<v Speaker 3>How will it end?

773
00:39:27.920 --> 00:39:30.159
<v Speaker 1>What are the questions that we don't know that we

774
00:39:30.199 --> 00:39:34.800
<v Speaker 1>should ask and all we in a simulation or what

775
00:39:34.920 --> 00:39:36.239
<v Speaker 1>level of simulation are we in?

776
00:39:38.199 --> 00:39:43.079
<v Speaker 2>I think we're going to find out an MPC, Elon,

777
00:39:43.159 --> 00:39:47.119
<v Speaker 2>thank you so much for joining us. Everyone please give

778
00:39:47.119 --> 00:39:48.000
<v Speaker 2>it up for Elon Mott.
