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Speaker 1: Hey, everybody, wasn't it great to hear from Lars. You

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can just tell he he loves what he's doing, and

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that really just comes through when you talk to him.

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Somebody else that loves what they do is our next

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pseudo surprise. We announced it what an hour or something ago.

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You might know him. He's a guy named Elon. Maybe

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you've heard of him. He's got a couple followers on

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this platform called X. I don't know, you know some

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new guy. No Elon Musk, the CEO of Tesla, will

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be joining us virtually here momentarily and to chat with

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him for second or third year in a row, now, gosh,

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second year in a row. Please welcome back of course,

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John and Calvin from the Tesla Owners Club of Silicon Valley.

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Speaker 2: All right, let's go have fun, guys.

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Speaker 3: Man, the race horses out there all was causing a

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Ruckus family friendly event.

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Speaker 4: Guys, crazy, what a day? What a day.

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Speaker 3: So obviously, thank you so much to Lars and Steve

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for coming on here.

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Speaker 4: And I believe we have Elon On.

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Speaker 3: So it's just a matter of I feel like, you know,

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just bringing him on the screen and stuff.

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Speaker 4: Wha.

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Speaker 3: Yeah, it actually kind of looks like Mars in some ways.

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Speaker 2: Perseverance Is that a cap right there too, it's a

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posseverance rover on Mars.

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Speaker 4: Oh my gosh, that's awesome.

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Speaker 2: Yeah.

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Speaker 3: Well, first off, Elon, thanks for coming to the X

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takeover formerly a test Let's take over for the second

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year in a row.

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Speaker 2: Hi, welcome.

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Speaker 3: Well let's let's kick things off. Let's start off, start

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off with you know, really your baby, the Starship. Starship

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is the most ambition is rocket ever built. What's been

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harder than expected? And what's the next milestone we should

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watch for?

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Speaker 2: Well, I thought everything would be hard, so it's not

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like it was like.

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Speaker 4: It would be easy.

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Speaker 2: Yeah, yeah, I mean, Starship is is a crazy program

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on so many levels. Because if you've got something with

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two and a half and future versions will be three

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times the thrust of the Saturn by Ron rocket, which

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was previously largest rocket and largest playing object ever made.

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So Starship is you know, three times thrust, roughly twice

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the weight of the next largest playing object haven't made,

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and has the goal of being fully and rapidly reusable.

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So this is a this is a really crazy thing too.

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I think it's really one of the hottest engineering challenges

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that exists. And you know, when we first started talking

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about Starship, people thought this was impossible. In fact, even

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within the company, we we sort of thought it was impossible,

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and it had a very high sort of work called

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gigle factor. You know, you mentioned the thing and people

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immediately start giggling, like at the absurdity of it all.

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So now, but now it's gone from uh as say

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we you know, I guess I specialize in the going

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from the impossible to the merely late. So that's my skill.

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It was impossible and now it's just late. So uh

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And I encourage anyone who's interested to go and visit

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star Base in South Texas. It's like a magical land

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with gigantic rockets. I think some of you would Yeah,

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it's inane, but it's very inspiring. It's like I take

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take breaths of family. It's on a major highway, so

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you can see things quite us up and really gets

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a sense for the scale of the of the rocket

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and the factory and everything. So it's it's very cool.

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I guess the thing that I thought would be hottest

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currently is the hottest, which is the creating a fully

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reusable obital heat shield, which has never been done before.

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So normally the heat shields are they're they're expendable, and

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even say for the Shuttle heat shield, they would lose

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many of the tiles on every flight and they have

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to refurbish the heat shield between each flight, so it's

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it's never no one has ever created a fully reasonable

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obital heat shield before, and no one, no one has

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created a fully reusable obital rocket before. And Falcon nine

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is the first rocket where there's at least the boostage

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is reusable on a regular basis and where it actually

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makes economic sense. So so so, solving the heat shield

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problem is i think probably the single biggest remaining challenge

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for Starship, and and of course getting the upper stage

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for the ship to land and also get caught by

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the giant metal chopsticks, which looks looks like a sci

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fi movie. That looks it looks like an improbable sci

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fi movie. The whole thing.

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Speaker 4: Chop sticks literally catturing it, catching it.

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Speaker 2: Yeah, giant metal chopsticks. That's it's pretty well to be

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catching the largest ling object ever made with metal chop

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sticks out of there. So then the but I'm hopeful

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that the ship will be will be recover maybe this year,

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but certainly let's say in the first half of next year,

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and then there'll be further improvements to make the ship

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and the boost not just reusable, but fully and rapidly reusable,

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which will actually drop the cost for a flight cost

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per ton of payload of starship below that of a

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Falcon one rocket of an expendable Falcon one, so that

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getting one hundred tons or more to orbit a useful

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payload will cost less than a rocket that would ordinarily

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deliver half a ton that was Falcon one. And it's

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because all you're doing is replacing the fuel and oxygen

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in the rocket as opposed to bullying a new rocket,

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and most of the propellant is actually oxygen, not fuel.

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It's but it's almost eighty percent oxygen twenty percent fuel.

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Then the next big technology challenge, after being able to

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achieve full use of the pull reuse of the ship,

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is orbital refilling, where where we actually refiel propellant from

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from over like like like Aerial refueling in this case

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is orbital refilling. I say refilling, not refueling, because most

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of what's transferred is actually liquid oxygen as opposed to fuel.

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So for orbital refilling. You you need to have two

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starships come together and dark and transfer propellant from one

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starship to another and then and then in the future

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to an orbit obitable propellant depot. Yeah, so that's that's

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the situation.

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Speaker 4: Doesn't sound hard to just show.

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Speaker 2: I mean, it is very feeble. There's nothing nothing is

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nothing impossible is being talked about here, but it is.

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It is very tricky to do, and and and no

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other organization is even trying to do this. It's like,

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so I'm like, well, who else is trying to do this?

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Will love it? You Actually, so, in fact, even after

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all these years, there's still a company that's reusing a booster.

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So uh, no one's even tried to do Balcon nine

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level reusability, even even though we've shown that that it

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clearly makes a ton of sense because you know, compare

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the cost of any form of transport.

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Speaker 5: Where if you have to throw away the item afterwards,

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like if you've got if you have to if every

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time you drove somewhere you have to throw away the car,

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you'd be wow, that's a that's a that's a that's

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a crazy car where you have to throw away after

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every every.

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Speaker 2: Time you drive it. But that's how it works for

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for rockets, So that is really yeah, I don't think

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I want to be driving a car if yeah, to

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buy a new car every time you drove somewhere and

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you have to tow another car behind you for the

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return journey.

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Speaker 6: Elan, what does he? Yeah, yeah, so talk about the impossible, Elan.

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What does a self sustaining city on Mars actually look like?

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How many people, what kind of economy, what kind of governance?

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Speaker 2: Well, uh, that that'll that'll governance will be up to

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the Martians. But you know, we we have some sort

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of artist impressions of what Mars said he would look like, uh,

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the and I don't really know to be honest, you know,

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except that Mars is not yet at the point where

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we're sort of terrified. We live outdoors, so you have

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to live initially in bars domes or something like that.

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And and then you can you can walk outside with

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a Mars suit, but you could you could not walk

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outside without a Mars suit. So yeah, it's uh. But

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I just also said, like, maybe explain for those who

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haven't heard of like like why why why is it

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worth doing something like this? What what's the purpose of Mars.

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Shouldn't we just focus on Earth? And I'm like, yeah,

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I think we should focus on Earth. Like ninety of

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what we do should we focused on Earth, but maybe

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one percent of what we do should be should be

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focused on on becoming a space for civilization in a

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multiplane species, because it's for there's that depends of argument

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where it's you know, it's it's it's if something would

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have happened to Earth and that destroyed civilization. This could

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be World War three, or it could be a meteor

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like one that destroyed the dinosaurs, then we want to

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make sure that the tiny candle of consciousness that exists

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with humanity does not go out. And so there's I

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think it's important to be a multiplant species to ensure

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the long term survival of consciousness and all and all

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the life forms that that we we have here on Earth.

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So and you know, the the other life forms can't

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extend life to another planet, but but we we can

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do it for them. We can we can bring there.

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And it's clear I'm an optimist. I mean, I think

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the most likely outcome is that the future will be good,

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but there's a small chance that the future that that's

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something will go wrong, and if so, we don't want

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to the light of consciousness to go out on that,

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you know, we want we want a light of conscious

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light of consciousness to continue. So that's kind of the

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defensive argument, and then the then there's also the sort

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of the the the sort of the the inspiration argument,

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which is that life can't be just about solving one

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sort of miserable problem. Ar you about the future that

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make you, that make you excited to be alive and

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make you, you know, you wake up in the morning, you're like,

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I can't wait to see what happens. They have any

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things like that too, and what they learn everyone on Earth,

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just like the Apollo program was inspiring to everyone on Earth,

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whether you went there. Obviously very few people went there,

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but but it was in a way we all vicariously

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went to the Moon and it was a great achievement

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to humanity and it was very inspiring to people all

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around the world. So and you're learning more about the

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nature of the universe and seeing what's happening out there.

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Even if you don't go yourself, it's still very it's

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very inspiring. So that, yeah, I think those were all

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things that matter a lot.

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Speaker 3: Yeah, I mean it's truly truly inspiring what SpaceX and

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even Tesla are doing.

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Speaker 4: Do you ever foresee SpaceX?

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Speaker 7: Uh?

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Speaker 2: Hello?

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Speaker 4: Yeah? Are you there? Are you there?

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Speaker 2: Sorry? Guys, if you're talking to me, I cannot hear you?

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Speaker 4: All right? Do you want to go check with? Can

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you hear me? Do you want to go check with? Noah?

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Speaker 2: Real quick?

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Speaker 6: Yeah?

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Speaker 2: That's right?

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Speaker 4: Can you hear us? Elon? Should I make a joke

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out of this or not? Can you hear me now? Elon?

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Speaker 2: Yeah?

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Speaker 3: The audio Hopefully we back in seconds, but bear with

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us as we navigate this. At least Elon's still there

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with the perseverance.

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Speaker 4: Rover check, check, John check. Can you hear me? Can

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you hear me?

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Speaker 2: Are we back? Well?

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Speaker 4: I don't think we can hear him.

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Speaker 2: Guys.

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Speaker 4: People are waving at you, Elon if you can't see them.

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Speaker 3: But yeah, sorry about these audio difficulties. Hopefully we can

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get this up and run on you.

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Speaker 4: Are you there?

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Speaker 2: Can you hear me?

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Speaker 6: Yeah?

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Speaker 3: Okay, I was gonna ask you to dance while you

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were waiting silently, but you know, I figured we'd wait

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for that.

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Speaker 2: I'm joking. What did you do? Did you hear what

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I said earlier?

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Speaker 3: Yeah, we did, and that I think yeah, yeah for sure. No,

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So we were what the what the question was is

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we were asking do you think that SpaceX is eventually

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going to go interstellar?

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Speaker 4: Is there a plan?

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Speaker 2: So? Uh yeah, I'm probably not in my life, but

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probably have time, but yes, eventually, Elon, can you hear me,

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I can hear yes. Okay, let's talk about Robotaxi.

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Speaker 6: How do you see the Robotaxi platform coexisting with the

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rest of Tesla's lineup? Will replace the Model three?

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Speaker 2: And why? Well, this cyber cap which is a two

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seater and that would they would not replace the tree

246
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and why? Because and why? I have four seater and

247
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six se cabildy, So I think you'd find that the

248
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cyber cab would be for one or two passengers and

249
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then dynamically it would call the Model three Model three

250
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or why four passengers or why for six packages? And

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you know, and they will the large vehicles. I mean

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this this is not the forum for making make product announcements. Uh. Uh,

253
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to be totally honest, so I gotta be you know,

254
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a little careful here about what I say.

255
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Speaker 4: We got you?

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Speaker 3: Uh, does Tesla plan on owning a large fleet of

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robotaxis and then when will private citizens be able to

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go on the Tesla network?

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Speaker 2: Uh? Yes, will own some of the Uh the fleet

260
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will be Tesla owned and some of the fleet will

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be customer owned. So you could think of it as

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a model kind of like maybe some combination that we

263
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were in AIRBND, where you know, some people own the

264
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cars and then add the sort of track them to

265
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the fleet, and and some cars are owned by Tesla

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uh directly.

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Speaker 6: So if Robotaxi succeeds elon, how how does Tesla navigate

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the paradox of making the best cars in the world

269
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but also possibly needing fewer of them.

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Speaker 2: Well, you, guys, I think it's something me to answer

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questions because this is a publicly traded company and so

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you know, this is the most interesting questions you'd want

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to ask me all the questions I can really answered.

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Speaker 3: No, yeah, of course, no, we definitely don't want to

275
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put you on the spot there. So I think you

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posted a week or two ago about and even Lars

277
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mentioned it about just the roadster program and how it's

278
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still active. What can you tell us about its current

279
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development status?

280
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Speaker 2: Well, we're aiming for a demonstration at the end of

281
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the year. I mean, the roadster is not something that

282
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spoke to meaningfully effect to the financials of the company.

283
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There's two small relatives to other programs, so it is

284
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very cool. Hopefully we're able to do your demore. But

285
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early next lays.

286
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Speaker 3: You said that Optimists could be more valuable than Tesla's

287
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entire automotive business. What's what's the roadmap from where we

288
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are today to widespread deployment?

289
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Speaker 2: You know, again, you're really asking me for questions that

290
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are highly sensitive to the value of the company, and so, uh,

291
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that's not really something I can answer. The current version

292
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three of options, I think it's right design to go

293
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to volume production, but it is a significant redesign from

294
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version two, so in fact, almost nothing stays the same.

295
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So I really faced the choice of should we make

296
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several thousand versions two optus robots when we know the

297
00:20:13,880 --> 00:20:18,720
design can be much better, or should we pose to

298
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verse three, which is much better? And you know, and

299
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we're maybe have I don't know, a few hundred robots

300
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instead of a few thousand robots by the end of

301
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the year. And I think the right decision was to

302
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go with version three and then scale production significantly next year.

303
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Now it turns up the value of optimists. You really

304
00:20:50,079 --> 00:20:54,920
need to think of the basic question of who who

305
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wouldn't want their own possible C three po R two

306
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D two. I think I think we're dealing with that.

307
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I mean, let's ask the crowd. Would you guys like

308
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you guys wanted optimistic? Yeah, yeah, exactly, very would be

309
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very cool. And it would actually be, by the way,

310
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much better than in functionality than three pot two, so

311
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it would be super useful. So I think basically everyone

312
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on Earth is gonna want one, and and then you're

313
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gonna have a bunch of industry. So that's why I

314
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think it's probably it's probably product because there's at least

315
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a market for probably twenty billion these made based it

316
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could be fifty billion. I don't know a line. So

317
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you know, hypothetically, if Test was making a billion of

318
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these here at scale, and at scale of the cost

319
00:22:05,319 --> 00:22:09,480
gets lower and lower, So maybe like on the order

320
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two thousand dollars I'm just guessing. And you know that's

321
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that's thirty trillion in revenue.

322
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Speaker 4: Insane.

323
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Speaker 2: Uh, you know, that's a long long way to go

324
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between here and making a billion provots here. Yeah, but

325
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I do think something like that may happen.

326
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Speaker 3: Yeah, what would you say is Optimist is going to

327
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have the biggest impact on Do you think it's going

328
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to start obviously in manufacturing like or what not? Not

329
00:22:46,920 --> 00:22:49,799
necessarily timeline, but like where do you see optimists having

330
00:22:49,799 --> 00:22:50,640
the biggest impact?

331
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Speaker 2: Well, initially it would go to very high value your things.

332
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So say somebody needs a lot of medical care some

333
00:23:09,720 --> 00:23:15,720
some thing, so like if you know, I'll be like

334
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a twenty four hour a day nurse or helper to

335
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someone that is quarter politic or something like that, you know,

336
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or something it just really it needs physical help. So

337
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that's the kind of thing which would be life changing

338
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for a lot of people. Those would be the highest

339
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value initial use cases. There will also be use in

340
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situations where it's, uh, the work is very dangerous so

341
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or where there's a lot of repetitive tasks, But like

342
00:24:03,079 --> 00:24:08,160
any any work that's that's that's risk spline or some

343
00:24:08,319 --> 00:24:12,240
kind of injury would be a good initial use case

344
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for Optimist.

345
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Speaker 6: When you look ahead in ten years, what's more transformative

346
00:24:19,839 --> 00:24:22,200
full self driving or optimist.

347
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Speaker 2: Optimist?

348
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Speaker 4: It seems like that was an easy one.

349
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Speaker 2: You've well, and I do. It sounds like it's very

350
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hard to do. So it's not like it just it's

351
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so I think, yeah.

352
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Speaker 4: Yeah, I see you're drinking some good old diet coke.

353
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By the way, shout out to those.

354
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Speaker 3: You've hinted that we may reach digital super intelligence this

355
00:24:56,759 --> 00:24:59,559
year or next. How will we know that we've crossed

356
00:24:59,559 --> 00:25:02,759
that line? And what does one of a G What

357
00:25:02,799 --> 00:25:05,240
does day one of a G I really look like?

358
00:25:06,559 --> 00:25:11,160
Speaker 2: Well, I'm not sure it's like a a massive. It

359
00:25:11,279 --> 00:25:22,279
may be less profound then I'd be some fun will

360
00:25:22,279 --> 00:25:25,640
be less profound. They were like, hey, I have not

361
00:25:25,759 --> 00:25:34,920
done yet is new technologies that are useful? So uh,

362
00:25:35,279 --> 00:25:38,680
it hasn't hasn't discovered new business and it has not

363
00:25:39,680 --> 00:25:42,160
invented technologies that are useful. But I think that is

364
00:25:42,200 --> 00:25:44,440
something that that that that that will happen.

365
00:25:46,880 --> 00:25:52,720
Speaker 6: Yeah, m If Grock becomes smarter than any human, what

366
00:25:52,880 --> 00:25:57,160
role do we play? Are we co pilots, overseers or

367
00:25:57,240 --> 00:25:58,359
just legacy code?

368
00:26:00,240 --> 00:26:11,200
Speaker 2: Well, we weren't just wrong. Uh, there will be many

369
00:26:12,359 --> 00:26:16,279
that there will be at least I think for major

370
00:26:16,400 --> 00:26:24,759
y guys, maybe five just in the United States. And

371
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so even if was not developed there would still be

372
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digital superintelligence. And I've been fighting the yeah, putting quersonally

373
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start driving hard on digital super intelligence for a long

374
00:26:43,640 --> 00:26:47,759
time because I would if this is a double edged

375
00:26:47,920 --> 00:26:52,759
order signal disord or what. But it became very obvious

376
00:26:52,839 --> 00:26:56,720
after a while that this was going to happen, whether

377
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I anticipated or not, so they fall I had a

378
00:27:01,079 --> 00:27:06,039
choice of either be a spectator or a participant, but

379
00:27:06,440 --> 00:27:08,759
that it was going to happen with or without me.

380
00:27:12,160 --> 00:27:16,079
So then I think we'll rather be a participant than

381
00:27:16,119 --> 00:27:22,039
a spectator, and I can focus on a I safety

382
00:27:22,839 --> 00:27:26,880
which in my view, and I've thought about this a

383
00:27:26,920 --> 00:27:31,160
long time, is that the most important thing for AI

384
00:27:31,279 --> 00:27:37,839
sayet is to be maximally truth seeking, which means often

385
00:27:37,920 --> 00:27:42,559
like saying things that are maybe politically incorrect but actually

386
00:27:42,839 --> 00:27:49,200
actually correct, and also maybe there will be mistakes that

387
00:27:49,319 --> 00:27:53,440
are made, then admitting the mistakes and taking correct taking

388
00:27:53,480 --> 00:27:58,000
corrective action. And Croxel has a long way to go

389
00:27:59,440 --> 00:28:02,599
to a true seeking But I think this is also

390
00:28:02,720 --> 00:28:08,920
consistent with UH inventing new technologies, UH, you know, solving

391
00:28:10,599 --> 00:28:14,240
medical problems. You know, you know, if you want to

392
00:28:14,319 --> 00:28:16,680
if you want to cure cancer, you have to be

393
00:28:16,839 --> 00:28:20,480
actually too CP to understand what the brickpos is for example.

394
00:28:22,279 --> 00:28:25,920
So that's so I think that's actually very fundamental both

395
00:28:25,960 --> 00:28:34,960
for safety and for useful notes. And yeah, so another

396
00:28:35,839 --> 00:28:38,440
the economy of the future, I think it's going to

397
00:28:38,480 --> 00:28:44,279
look uh, sort of quite different from where it is today.

398
00:28:47,519 --> 00:28:51,920
And I am robotics in the good scenario, which we're

399
00:28:52,400 --> 00:28:57,440
working towards here trying to ensure makes that we do

400
00:28:57,759 --> 00:29:03,480
have the good scenario, there will be no shortage products

401
00:29:03,519 --> 00:29:09,079
and services or anyone like basically anyone will be able

402
00:29:09,119 --> 00:29:17,480
to have any product systems they want. That's the product

403
00:29:17,559 --> 00:29:22,839
that he gains from a Robotics are just astounding to

404
00:29:22,920 --> 00:29:25,960
think about it, Like I think, I think it could

405
00:29:26,799 --> 00:29:30,400
increase decides the economy by a factor of ten or

406
00:29:30,480 --> 00:29:40,880
more like, it will eliminate poverty, and it really will

407
00:29:40,920 --> 00:29:43,880
be any situation where anyone can have anything they want.

408
00:29:46,680 --> 00:29:51,440
The bigger challenge may be finding meaning in life. So

409
00:29:52,640 --> 00:29:56,319
ifone can do anything that you can do, but maybe better,

410
00:29:57,200 --> 00:30:00,440
how do you find meaning in life? That's that maybe

411
00:30:00,519 --> 00:30:01,079
the biggest job.

412
00:30:03,799 --> 00:30:06,359
Speaker 3: When you think of the fact, you know, you mentioned

413
00:30:06,400 --> 00:30:09,079
that you know you've been holding off on, you know,

414
00:30:09,200 --> 00:30:13,160
really getting involved, whether it's you know, participating versus being

415
00:30:13,240 --> 00:30:16,240
a spectator. And when you're thinking of the next couple

416
00:30:16,279 --> 00:30:18,720
of years of like let's say, not necessarily catching up,

417
00:30:18,799 --> 00:30:22,039
but just doubling down and really focusing on it, what

418
00:30:22,160 --> 00:30:24,440
are going to be your biggest focus points?

419
00:30:27,799 --> 00:30:34,680
Speaker 2: Really, it's making it useful and making it safe for humanity,

420
00:30:35,680 --> 00:30:40,000
and making love humanity especially I behave you know, you

421
00:30:40,039 --> 00:30:52,400
want to to be useful friendly, So the most important things.

422
00:30:55,319 --> 00:31:01,359
I've never seen any technology advanced as fast as AI. So,

423
00:31:02,799 --> 00:31:07,799
and I've seen a lot of technologies advanced. Yeah, the

424
00:31:07,880 --> 00:31:13,519
rate of I well, and maybe this is a discomforting metaphor,

425
00:31:13,640 --> 00:31:18,319
but AI is a a supersonic tsunami.

426
00:31:21,359 --> 00:31:23,880
Speaker 4: Does not sound fun, But yeah, it sounds it.

427
00:31:23,920 --> 00:31:27,000
Speaker 2: Sounds a little scary in that way, but it's in

428
00:31:27,160 --> 00:31:33,960
terms of maybe in terms of exceeding prior technologies, it's

429
00:31:34,000 --> 00:31:39,200
like supersonic me. And you really do need to compare

430
00:31:39,440 --> 00:31:40,599
AI with robotics.

431
00:31:45,400 --> 00:31:48,279
Speaker 3: Yeah, I think it's it's crazy just how much it's

432
00:31:48,319 --> 00:31:51,720
advanced in just the past year two years, and and

433
00:31:51,839 --> 00:31:54,599
seeing how kids are using it, looking at using Grock

434
00:31:54,720 --> 00:32:00,839
four Grock voice the companions. Now, mhm, I think you've

435
00:32:00,839 --> 00:32:03,319
answered this before, But what would what keeps you up

436
00:32:03,359 --> 00:32:05,200
at night when you think of the future of AI

437
00:32:05,799 --> 00:32:08,880
and now that you're doubling down and really just going

438
00:32:09,680 --> 00:32:14,319
wartime mode right now on just tackling this these issues.

439
00:32:14,839 --> 00:32:16,920
Speaker 4: What is uh, what is something that keeps you up

440
00:32:16,960 --> 00:32:17,279
at night?

441
00:32:31,200 --> 00:32:37,119
Speaker 2: Well? AI safety and making sure the AI is aligned

442
00:32:37,200 --> 00:32:44,240
with humidity and ones too, fuster grow and better humanity

443
00:32:44,279 --> 00:32:47,920
and yeah, basically we want to be like if you could,

444
00:32:48,200 --> 00:32:50,519
if you look into a crystal ball now and see

445
00:32:50,559 --> 00:32:55,480
the future, it used to be the future one and

446
00:32:55,680 --> 00:33:01,279
so uh, I mean I have this kind of like

447
00:33:01,680 --> 00:33:09,359
new term or the goal of test because the goal

448
00:33:09,440 --> 00:33:15,960
TEST previously was accelerating the advancement of sustainable energy, just

449
00:33:16,720 --> 00:33:18,920
like a very good goal. And then the reason I

450
00:33:19,039 --> 00:33:21,200
pursued that rather than AI, because I could have pursued

451
00:33:21,480 --> 00:33:25,160
from the beginning, was because I was confident that that

452
00:33:25,480 --> 00:33:29,079
sustainable energy was a single edge store only like it

453
00:33:29,160 --> 00:33:32,920
was only a good edge, you know, so we shure that, Okay,

454
00:33:32,960 --> 00:33:36,839
we succeed in that, Like, okay, that's that's definitely good

455
00:33:37,079 --> 00:33:42,400
stainable energy. My definition is great if you're a cleaner

456
00:33:42,440 --> 00:33:46,799
air and you know, and I can run out of

457
00:33:46,839 --> 00:33:50,880
whatever this closet fuel is, uh, with with combinations solar

458
00:33:50,960 --> 00:33:55,200
batteries and electric cars, then that's like that's an equipment

459
00:33:55,359 --> 00:34:03,319
good yah. Yeah for AI. Like I said this, it

460
00:34:03,480 --> 00:34:09,320
is more of a double ed sword risk, but I

461
00:34:09,400 --> 00:34:11,960
think it most likely will be good and most likely

462
00:34:12,039 --> 00:34:17,079
will bring immense prosperity, and you know, it's gonna figure

463
00:34:17,079 --> 00:34:24,599
out how to cure every disease and uh it's it's

464
00:34:24,639 --> 00:34:27,360
probably gonna be awesome. But I think we need to

465
00:34:27,480 --> 00:34:34,400
be careful and not complacent and and we've actually be

466
00:34:34,519 --> 00:34:40,199
somewhat paranoid to make sure that we have the good

467
00:34:40,320 --> 00:34:45,679
AI future not the bad AI future. So I mean

468
00:34:45,920 --> 00:34:49,679
from front from a Tesla's box standpoint, I just start

469
00:34:50,280 --> 00:34:59,360
with autonomous autonomous cars and especially with with optimises go

470
00:34:59,519 --> 00:35:03,599
TWI to sort of crazy levels. I'd always recommend, like

471
00:35:03,719 --> 00:35:11,559
looking at Kathy Would and Argus a balnsis there, they've

472
00:35:11,559 --> 00:35:15,360
been right in the past, and I think they're right

473
00:35:15,440 --> 00:35:20,440
this time and again with a lot of difficult execution.

474
00:35:21,840 --> 00:35:24,760
I think there are people out there said, well, Tessa's

475
00:35:24,760 --> 00:35:30,599
evaluation could be twenty five trillion, and I think that

476
00:35:31,360 --> 00:35:38,079
that's probably correct. If we execute well on autonomous transport

477
00:35:38,840 --> 00:35:42,119
and Optimus, it actually does get to a twenty to

478
00:35:42,239 --> 00:35:47,400
thirty killion dollar evaluation. That's twenty to thirty times what

479
00:35:47,559 --> 00:35:48,119
it is saying.

480
00:35:51,239 --> 00:35:51,960
Speaker 4: Everyone's cheering.

481
00:35:53,159 --> 00:36:03,679
Speaker 2: Yeah, yeah, the math is math is here. So it's

482
00:36:03,719 --> 00:36:08,800
just it's just a massive amount of work. And but

483
00:36:09,039 --> 00:36:11,360
but I but like, I think you can do that

484
00:36:11,480 --> 00:36:22,800
massive amount of work. That's what happened, Kaylon.

485
00:36:22,880 --> 00:36:26,480
Speaker 6: Let's talk about neuralink. You've described neuralink in the past

486
00:36:26,559 --> 00:36:31,800
as a way to solve the input output bottleneck between

487
00:36:31,920 --> 00:36:36,559
humans and machines, right, h what's the long term vision?

488
00:36:36,639 --> 00:36:38,599
Is neuralink a medical company or is it the first

489
00:36:38,599 --> 00:36:43,719
step towards symbiosis with aika.

490
00:36:45,760 --> 00:36:50,599
Speaker 2: It's it's also as a medical technology, So neural links

491
00:36:51,079 --> 00:36:57,840
initial goals are really true help people, uh who have

492
00:36:58,840 --> 00:37:02,599
say quarter plea caetriplegic situation, they've lost the use of

493
00:37:02,679 --> 00:37:06,079
their body, and to be able to enable them to

494
00:37:06,119 --> 00:37:09,679
control their boner computer just by thinking. And I think

495
00:37:09,719 --> 00:37:15,239
we make eight patients so far, and all eight love

496
00:37:15,360 --> 00:37:20,760
the advice and are using it every day. So it's

497
00:37:21,119 --> 00:37:23,000
it's helped a lot of people. And I think we're

498
00:37:24,000 --> 00:37:26,639
test a team. The newerally team is aiming to do

499
00:37:26,760 --> 00:37:31,079
about twenty patients by the end of the year, so

500
00:37:31,119 --> 00:37:34,599
it's tolerating, and then next year we'll be doing the

501
00:37:35,639 --> 00:37:40,760
blind site implement which will enable people who are completely blind,

502
00:37:41,400 --> 00:37:44,239
like if they've lost both eyes and optic gove and

503
00:37:44,360 --> 00:37:48,840
still be able to see they're facing directly with one fourteen.

504
00:37:51,360 --> 00:37:56,599
So there's a lot of cool things like that. So

505
00:37:56,719 --> 00:38:05,159
the folks essentially is fixing serious medical issues and prove

506
00:38:05,239 --> 00:38:10,920
out the safety and efficacy, and then eventually at some

507
00:38:11,039 --> 00:38:18,480
point you could get cybernetic announcements, so it could could

508
00:38:19,599 --> 00:38:27,760
be something that massively augments intelligence and allows you to

509
00:38:28,719 --> 00:38:36,519
communicate at ultra high speeds. So it it's very sci fi,

510
00:38:38,960 --> 00:38:42,320
and you can get to the point where you could

511
00:38:42,400 --> 00:38:48,480
upload your memories uh and and essentially have a staved

512
00:38:48,679 --> 00:38:54,039
version of yourself. And then I'm speculating here, but but

513
00:38:54,239 --> 00:39:01,800
but then maybe download that into uh a new on

514
00:39:01,920 --> 00:39:04,760
a clothe body, either robot I'm really getting into sci

515
00:39:04,840 --> 00:39:07,280
fi here, but but like I'll load that into a

516
00:39:07,440 --> 00:39:11,519
robot body if you want, or a cloned version of

517
00:39:11,599 --> 00:39:17,079
your original cell. You know that they certainly made sci

518
00:39:17,159 --> 00:39:20,599
fi movies written books about this, so these are not

519
00:39:20,719 --> 00:39:24,599
new ideas, but I do think stuff like that will

520
00:39:24,639 --> 00:39:30,000
be possible, which would give you, I guess, a form

521
00:39:30,119 --> 00:39:34,719
of or anybody wants it, a form of immortality. And

522
00:39:34,800 --> 00:39:36,360
to be clear, I do think these things will be

523
00:39:36,400 --> 00:39:41,679
available to anyone who wants to do it, So it's

524
00:39:41,719 --> 00:39:43,280
not going to be sort of limited to a few

525
00:39:44,360 --> 00:39:48,920
sort of you know, uh, elite out of a society,

526
00:39:48,920 --> 00:39:50,519
and I think it will be available to anyone who

527
00:39:50,519 --> 00:39:50,760
wants to.

528
00:39:54,760 --> 00:39:59,000
Speaker 3: It's crazy just to think, you know, with neuralink, Grock,

529
00:39:59,400 --> 00:40:02,760
the Grock Opinion, and even the humanoid robot.

530
00:40:04,159 --> 00:40:05,519
Speaker 4: How do you do you see?

531
00:40:05,719 --> 00:40:08,159
Speaker 3: I mean, it just feels like more and more, whether

532
00:40:08,239 --> 00:40:11,639
it's Grock, the Grow companion, and then neuralink. I know,

533
00:40:11,719 --> 00:40:14,280
we did an interview with Brad, who is the third

534
00:40:14,360 --> 00:40:18,639
patient who has als and he was also utilizing GROC.

535
00:40:19,400 --> 00:40:22,199
Speaker 2: Yeah, what do you what do you see?

536
00:40:22,440 --> 00:40:25,719
Speaker 3: Continuing to see that integration between let's say near Link

537
00:40:25,840 --> 00:40:33,159
and even even Grock as things continue to grow, Yeah, Grow.

538
00:40:33,159 --> 00:40:37,800
Speaker 2: Will actually be able to understand those signals from you.

539
00:40:38,519 --> 00:40:40,960
So the neural links take me to your brain and

540
00:40:41,039 --> 00:40:45,960
then sending the signals to Grog and then actually understand

541
00:40:46,000 --> 00:40:51,480
those signals at kind of like a binary level as

542
00:40:51,519 --> 00:40:54,559
opposed to having to translate it. In words and so

543
00:40:55,199 --> 00:40:57,760
greatly improve the efficiency with which you can use your

544
00:40:57,840 --> 00:41:06,440
neural link device. Like it's so that, I mean, we're

545
00:41:06,440 --> 00:41:11,440
really getting into some interesting philosophical questions or interesting questions,

546
00:41:13,039 --> 00:41:18,320
like if you think about how much your mental see

547
00:41:18,840 --> 00:41:23,559
your mind is used to take a complex thought or

548
00:41:23,679 --> 00:41:28,519
image in your mind and translate that into words, and

549
00:41:28,800 --> 00:41:32,280
it's and it's very lasting, because how can you really

550
00:41:32,400 --> 00:41:35,639
pusworth words convey say the image that you have in

551
00:41:35,719 --> 00:41:39,400
your mind. It's very difficult to do so. And and

552
00:41:39,400 --> 00:41:42,079
if you're not, like if you're an artist, it's actually

553
00:41:42,159 --> 00:41:44,559
very difficult to actually get the image from your mind

554
00:41:44,800 --> 00:41:50,840
onto computer or paper. But the computer could do that.

555
00:41:51,400 --> 00:41:52,920
You could say, okay, this is the image that you

556
00:41:53,119 --> 00:41:58,159
want to produce, and we'll listen. Like there's a complex

557
00:41:58,239 --> 00:42:03,440
series of concept that you want to convey to someone else,

558
00:42:04,000 --> 00:42:07,559
and if both people have a new link, you'll be

559
00:42:07,639 --> 00:42:16,000
able to convey a complex series of ideas, uncompressed in

560
00:42:16,079 --> 00:42:20,440
their full form to someone else's mind, as opposed to

561
00:42:20,599 --> 00:42:27,639
reducing complex concepts down to a few sentences and trying

562
00:42:27,719 --> 00:42:31,239
to get someone else to hear what those sentences are,

563
00:42:31,920 --> 00:42:35,559
decompress those sentences in their mind and try and try

564
00:42:35,639 --> 00:42:39,320
to understand the concepts that are in your mind. So

565
00:42:39,440 --> 00:42:45,639
this is why I call it conceptual telepathy. So this

566
00:42:45,760 --> 00:42:49,800
would greatly improve communication and understanding between humans.

567
00:42:53,920 --> 00:42:58,480
Speaker 3: You've mentioned restoring vision and mobility, but the idea of

568
00:42:58,679 --> 00:43:00,360
writing to the brain too.

569
00:43:00,480 --> 00:43:05,039
Speaker 2: Sorry. So it's like, basically, if there's if there's any

570
00:43:05,199 --> 00:43:13,199
sense or brain injury, and principle that sensory function or

571
00:43:13,239 --> 00:43:16,239
that brain injury can be sold with a neural link.

572
00:43:18,400 --> 00:43:26,159
So that includes uh, carring side smell o people, but

573
00:43:26,320 --> 00:43:31,239
not people lost their sense of smell, but feeling. It

574
00:43:31,320 --> 00:43:36,280
could be like if somebody hasn't stroke and they've lost

575
00:43:36,320 --> 00:43:40,559
the ability to move that arm, a neural link could

576
00:43:40,599 --> 00:43:47,159
restore that ability. It's it's really a very powerful general

577
00:43:48,000 --> 00:43:55,840
purpose input output device that can address, you know, over time,

578
00:43:56,599 --> 00:44:06,000
any brain or a logo issue. So having seizures, it

579
00:44:06,079 --> 00:44:10,960
could actually stop the seizures. It could I think probably

580
00:44:11,039 --> 00:44:17,159
fixed schizoprenia. Like it's like a lot of there's a

581
00:44:17,199 --> 00:44:19,559
lot of things that could like in principle, can fix

582
00:44:19,639 --> 00:44:24,599
basically anything that's to do with the brain or neurons

583
00:44:25,000 --> 00:44:25,800
or your senses.

584
00:44:27,960 --> 00:44:31,679
Speaker 3: Is there anything that would be like, is there a

585
00:44:31,800 --> 00:44:35,880
most difficult problem to solve in that space then, because

586
00:44:35,960 --> 00:44:38,159
technically a lot of it could be solved. Is there

587
00:44:38,239 --> 00:44:41,840
something that would maybe you would see bigger blockers on

588
00:44:41,960 --> 00:44:45,559
trying to solve As far as fixing those problems.

589
00:44:49,960 --> 00:44:54,039
Speaker 2: I'm not aware blockers right now. It's just that when

590
00:44:54,119 --> 00:44:58,679
you're putting devices and humans, yeah, very capital and to

591
00:44:58,760 --> 00:45:04,159
make sure that uh, no damage is done and is

592
00:45:04,639 --> 00:45:10,599
the implant works and without any negative side effects and

593
00:45:10,800 --> 00:45:15,280
so far uh you know, knock on wood, we're betting

594
00:45:15,320 --> 00:45:19,480
the house here and and and yeah, well patients of

595
00:45:20,239 --> 00:45:25,480
the devices of work and there no meaningful side effect.

596
00:45:27,559 --> 00:45:31,960
So that's it's it's really just yeah, it's pretty cool,

597
00:45:32,440 --> 00:45:35,760
but it's just in order to be saved that does

598
00:45:35,920 --> 00:45:41,599
low us down. And of course we we interact c

599
00:45:41,760 --> 00:45:45,039
culosely with the with the d A and for for

600
00:45:45,159 --> 00:45:48,079
approvals and stuff. So it's it's not just uh yeah

601
00:45:48,960 --> 00:45:54,000
we were like vacuum here, it's it's with regula from

602
00:45:54,039 --> 00:45:59,039
the f t A so uh. And and then you

603
00:45:59,119 --> 00:46:04,760
do need different fairvariance of neural link device for solving

604
00:46:04,800 --> 00:46:11,440
different things. So for example, for uh for the lethopy product,

605
00:46:11,679 --> 00:46:14,559
just what we have in the eight patients so far

606
00:46:15,360 --> 00:46:19,239
that interfaces with the motor cortex in the brain. So

607
00:46:19,360 --> 00:46:22,719
it's like like literally it's someone will think about gibbing

608
00:46:22,760 --> 00:46:27,280
their hand, neural link device will read that signal in

609
00:46:27,360 --> 00:46:30,519
the motor cortex and then move the mouse on you

610
00:46:30,679 --> 00:46:36,400
on their computer. And then for site it's a different

611
00:46:36,480 --> 00:46:41,480
thing because you've got to stimulate the visual cortex, and

612
00:46:41,559 --> 00:46:45,519
the visual cortex is in a different location and it's

613
00:46:45,679 --> 00:46:47,840
it's a little deeper, so you've got so you've got

614
00:46:47,920 --> 00:46:49,960
to put the electrodes a little bit deep, deeper to

615
00:46:50,079 --> 00:46:55,079
reach the visual cortex. And in this case, it's it's

616
00:46:55,119 --> 00:46:59,360
a it's not reading, it's writing. It's it's effectively writing

617
00:47:00,320 --> 00:47:05,679
pixel to the visual cortex. This is something we've had

618
00:47:06,119 --> 00:47:11,400
working in monkeys for about three years now. In fact,

619
00:47:11,440 --> 00:47:15,079
one of our monkeys has both a telepathy implant and

620
00:47:15,800 --> 00:47:19,760
a blind side implant and he's a very happy monkey.

621
00:47:21,559 --> 00:47:26,239
I do want to emphasize we take uh great care

622
00:47:26,960 --> 00:47:32,800
of our animals. This is a really big deal because

623
00:47:32,800 --> 00:47:36,559
I've always said, like, imagine if we were in that position, well,

624
00:47:37,119 --> 00:47:39,400
let's just do all the things that if that if

625
00:47:39,440 --> 00:47:46,239
we're in that position, we do. And the USA inspector

626
00:47:46,280 --> 00:47:48,960
that came by to check out opportunities. She said, in

627
00:47:49,320 --> 00:47:53,639
her entire career career, she's never seen a nicer monkey

628
00:47:53,719 --> 00:48:02,000
enclosure ever. And let me tell you, monkeys love for

629
00:48:02,119 --> 00:48:07,800
the lefty implant. Monkeys are just like us. They love

630
00:48:07,880 --> 00:48:14,320
playing video games and eating snacks. So if if you look,

631
00:48:14,400 --> 00:48:17,239
if you look at that video of Pageer, I g.

632
00:48:17,280 --> 00:48:19,639
It's like four years old. Now you see, he's just

633
00:48:19,840 --> 00:48:24,840
he's just sitting on a branch, uh, sipping a banana

634
00:48:24,920 --> 00:48:28,960
smoothie which he gets every time he spoils. He gets

635
00:48:28,960 --> 00:48:32,559
a snip of a smoothie, and he's not being held

636
00:48:32,599 --> 00:48:39,320
down like he likes playing the game. So just really

637
00:48:39,480 --> 00:48:42,840
just like humans, like Mike, snacks and video games. Yes,

638
00:48:43,280 --> 00:48:43,760
the same thing.

639
00:48:45,159 --> 00:48:49,159
Speaker 3: One question I have, how does like building a humanoid

640
00:48:49,320 --> 00:48:52,280
robot and neuralink intersect if at all?

641
00:48:52,360 --> 00:48:55,639
Speaker 4: I mean, what are the learnings from that? Is there

642
00:48:55,719 --> 00:48:56,440
any overlap?

643
00:48:58,760 --> 00:49:07,840
Speaker 2: Yeah? Well, I've just building a human robot has really

644
00:49:07,960 --> 00:49:11,360
made me think a lot about how the human body works.

645
00:49:12,320 --> 00:49:17,920
You gain your appreciation for actually just how awesome that

646
00:49:18,079 --> 00:49:22,480
design the human body is. Now literally you know, I

647
00:49:22,559 --> 00:49:25,679
think some parts of the human body could be better,

648
00:49:25,880 --> 00:49:29,679
like the spine, Like why do we have storage back pain,

649
00:49:30,880 --> 00:49:31,679
it's very annoying.

650
00:49:33,679 --> 00:49:35,760
Speaker 4: Maybe don't fight sumo wrestlers, man.

651
00:49:36,159 --> 00:49:42,519
Speaker 2: Yeah, seriously, Doug going great, but you know, yeah, typically

652
00:49:43,360 --> 00:49:45,800
you know, everyone has back pain at some point in

653
00:49:45,840 --> 00:49:48,920
their life, which is also the thing your link consult,

654
00:49:49,599 --> 00:49:55,320
so that'd be cool too. But no, your optimists really

655
00:49:55,400 --> 00:49:58,679
made me think a lot about how our hands work,

656
00:50:00,559 --> 00:50:05,280
how we balance, how we do different things. But maybe

657
00:50:05,320 --> 00:50:11,519
more than anything, just how incredible our hands are. There.

658
00:50:12,440 --> 00:50:17,800
It's like, wow, things that our hands do, like the

659
00:50:17,880 --> 00:50:22,360
hands postumus are half or more than half of the

660
00:50:22,440 --> 00:50:27,119
electro mechanical problem, and the entire rest of the bodies

661
00:50:27,440 --> 00:50:29,920
is a half. Wow.

662
00:50:30,280 --> 00:50:30,880
Speaker 4: That's crazy.

663
00:50:33,320 --> 00:50:36,360
Speaker 2: Yeah. And and it's like, honestly, you look at your hands,

664
00:50:36,400 --> 00:50:39,800
you're like any movement and if you can, if you

665
00:50:39,920 --> 00:50:43,840
feel your forearm, like the almost all the muscles that

666
00:50:43,920 --> 00:50:47,880
control your hand are actually in your forearm and and

667
00:50:48,079 --> 00:50:54,199
and and they're pulling your fingers like like puppets. So yeah,

668
00:50:54,679 --> 00:50:57,679
there's only a small number of muscles that are in

669
00:50:57,760 --> 00:51:00,519
that in your hand itself. Your hand is a controlled

670
00:51:00,960 --> 00:51:05,679
through tendant that go either or among your pupple tunnel,

671
00:51:07,000 --> 00:51:13,239
and Johanna is being operated like marrying it from the Foreman. Yeah.

672
00:51:14,840 --> 00:51:15,679
Speaker 4: One thing that's crazy.

673
00:51:15,760 --> 00:51:16,519
Speaker 2: I just.

674
00:51:18,079 --> 00:51:21,280
Speaker 3: Yeah, I mean it's crazy how much the human body,

675
00:51:21,400 --> 00:51:23,920
whether it's like you know, Tesla vision going you know,

676
00:51:24,400 --> 00:51:26,400
just trying to see what kind of like similar to

677
00:51:26,559 --> 00:51:30,559
how humans view the world, right and getting rid of

678
00:51:30,599 --> 00:51:34,199
the radar, and then same thing with the humanoid robot

679
00:51:34,320 --> 00:51:38,039
and just you know, thinking and seeing how the human

680
00:51:38,119 --> 00:51:43,880
body works. Is there anything more specifically even within the

681
00:51:44,000 --> 00:51:46,880
human body that will continue to infer whether it's the

682
00:51:46,960 --> 00:51:50,360
humanoid robot And it sounds like obviously the hand is

683
00:51:50,519 --> 00:51:52,039
the big one of the biggest problems.

684
00:51:52,960 --> 00:51:55,360
Speaker 4: Yeah, but are there other parts of the body too

685
00:51:55,480 --> 00:51:56,280
that that would.

686
00:51:58,280 --> 00:52:01,599
Speaker 3: Continue to help infer other parts the humanoid robot or

687
00:52:01,960 --> 00:52:05,360
again it's just yeah, with Tesla vision and eyesight.

688
00:52:09,440 --> 00:52:14,280
Speaker 2: Well, with Optimists, we're able to re use the autopilot commuter.

689
00:52:15,360 --> 00:52:22,159
So Optimists is uh intelligence power by the apho h

690
00:52:23,760 --> 00:52:28,760
same computer that controls the car and you know, a

691
00:52:28,800 --> 00:52:32,480
small battery back that's unlikes the car battery back, So

692
00:52:32,559 --> 00:52:36,119
there's a lot of carris with the car okay uh.

693
00:52:36,199 --> 00:52:41,880
And then the AI that's in the car is as

694
00:52:41,960 --> 00:52:45,199
similar to the AI that will be an Optimist running

695
00:52:45,199 --> 00:52:48,719
into the a I fo hardware and then a have

696
00:52:48,840 --> 00:52:49,880
hardware when that's ready.

697
00:52:51,360 --> 00:53:02,079
Speaker 8: So there's a lot of pels, but the limiting factor

698
00:53:02,920 --> 00:53:04,159
is the hand.

699
00:53:05,280 --> 00:53:20,320
Speaker 2: Yeah, but I'm against that. Optimism will be the biggest

700
00:53:20,360 --> 00:53:31,960
product ever. Yeah, and then of course Autonomy is starting

701
00:53:31,960 --> 00:53:39,239
to roll out Karlin, but will be in many cities

702
00:53:39,280 --> 00:53:44,000
and throughout the United States later this year and hopefully

703
00:53:44,079 --> 00:53:49,960
many countriesanks year. Yeah.

704
00:53:50,039 --> 00:53:52,679
Speaker 3: Here in the Bay Area, we have a bunch of fomo.

705
00:53:53,039 --> 00:53:56,360
Everyone's looking at Austin right now. I can tell you

706
00:53:56,480 --> 00:54:00,519
I always whenever I opened that ROBOTAXI app. Man, it

707
00:54:00,719 --> 00:54:05,280
just the geo fence, just the figurine is insane.

708
00:54:05,639 --> 00:54:10,800
Speaker 2: That's funny. I mean, you're gonna have some fun. Yeah,

709
00:54:11,360 --> 00:54:13,199
don't take yourself too seriously type of thing.

710
00:54:20,760 --> 00:54:23,840
Speaker 6: Let's switch and talk about X. You've called X and

711
00:54:24,119 --> 00:54:27,320
here we are at X Takeover. You've called everything app.

712
00:54:27,400 --> 00:54:30,679
But it's still in a transitional phase. What exactly do

713
00:54:30,760 --> 00:54:32,760
you want to be in five years?

714
00:54:40,039 --> 00:54:43,800
Speaker 2: I mean, is definitely improving. It's it's evolved a lot

715
00:54:43,920 --> 00:54:49,679
from Twitter. You only have like, you know, short text

716
00:54:50,719 --> 00:54:54,920
tweets and like two minute videos to the point where

717
00:54:54,960 --> 00:54:57,679
now you can have like more hour videos and you

718
00:54:57,760 --> 00:55:01,559
can write a novel if you want on a system.

719
00:55:02,880 --> 00:55:07,480
So it's it's gone through a fully multimodal from long

720
00:55:07,599 --> 00:55:13,679
videos to long text anything in between. And we're currently

721
00:55:13,840 --> 00:55:18,360
really improving the DM system. So the new system called

722
00:55:18,519 --> 00:55:23,800
x chat, which audio video calling. It's all fully encrypted

723
00:55:24,519 --> 00:55:29,320
period peer style like bitpoint. And that's the test is

724
00:55:29,440 --> 00:55:33,800
that even if somebody uh puts the gun to my head,

725
00:55:34,599 --> 00:55:39,199
I still can't read your messages. That's the test. So

726
00:55:39,280 --> 00:55:44,719
it's like very secure and and and also like you

727
00:55:44,880 --> 00:55:48,840
calling and and and video with it. And then there's

728
00:55:48,920 --> 00:55:53,840
the kind of X money or expance release, which is

729
00:55:54,880 --> 00:55:58,960
hope hopefully only a few months away we actually have

730
00:55:59,039 --> 00:56:04,440
it operating, invade it within the company, and that that

731
00:56:04,480 --> 00:56:12,679
will be a major factor. So been excess as much

732
00:56:12,679 --> 00:56:19,480
as possible, ensuring freedom, like freedom of speech within the

733
00:56:19,800 --> 00:56:22,840
as much as we can within the bounced flow. And

734
00:56:25,840 --> 00:56:29,880
you know, also like aspiration trying to reach for the

735
00:56:30,000 --> 00:56:33,800
truth of things, like you see that in community notes,

736
00:56:34,480 --> 00:56:38,840
where community notes will correct someone, even if they're very powerful.

737
00:56:39,360 --> 00:56:43,920
Community community notes will correct me. It will correct president CEOs,

738
00:56:45,480 --> 00:56:50,559
even major advertisers, and even if that costs money. So

739
00:56:51,559 --> 00:56:54,480
I think it's generally there's a lot of good things

740
00:56:54,559 --> 00:57:00,119
that have happened. We're trying to the algorithm, which we

741
00:57:00,280 --> 00:57:04,760
know it kind of sucks right now, Sorry about that.

742
00:57:07,119 --> 00:57:09,440
I actually enjoy it, but okay, okay, good.

743
00:57:09,599 --> 00:57:14,960
Speaker 3: Well, some days are crazier than others, like when the

744
00:57:15,039 --> 00:57:17,199
geofens expanded and some of these other things.

745
00:57:17,280 --> 00:57:20,840
Speaker 4: But yeah, no, I don't know. If you have any opinions,

746
00:57:21,159 --> 00:57:21,519
tell them.

747
00:57:22,320 --> 00:57:24,280
Speaker 2: I'm sorry your voice was a bit lower. I couldn't

748
00:57:24,320 --> 00:57:24,760
be a question.

749
00:57:25,079 --> 00:57:25,800
Speaker 4: Oh, I was saying.

750
00:57:25,840 --> 00:57:28,760
Speaker 3: The algorithm can be crazy some days, especially like when

751
00:57:28,840 --> 00:57:30,920
the robo taxi geofens expanded.

752
00:57:31,400 --> 00:57:37,440
Speaker 2: Yeah, yeah, yeah, they have anther watching. Goal of the

753
00:57:37,840 --> 00:57:41,960
algorithm is trying to show people information they would find

754
00:57:42,199 --> 00:57:47,559
most interesting. But right now it'll show you too much

755
00:57:47,599 --> 00:57:53,480
of one thing. Yes, if the sort of interesting thing

756
00:57:53,519 --> 00:57:55,719
of the day is right now, the ext algorithm will

757
00:57:55,719 --> 00:57:57,440
show you too much of that, and it's like, okay,

758
00:57:57,480 --> 00:58:03,199
I don't need to see it twenty times, you know, Yeah,

759
00:58:04,880 --> 00:58:07,320
I think I think I've seen, like the studies we

760
00:58:07,400 --> 00:58:11,800
need jeans thing about four hundred times this long, and

761
00:58:11,880 --> 00:58:14,159
it's like, okay, the first few times was good, but

762
00:58:14,400 --> 00:58:19,000
we shouldn't show things like one hundred times because because

763
00:58:19,119 --> 00:58:26,239
you want to hear paims so exs making study progress

764
00:58:26,440 --> 00:58:31,599
being offering. Yeah, pretty much checking you'd want to do.

765
00:58:33,199 --> 00:58:37,800
And yeah, I feel good about where it's head.

766
00:58:40,280 --> 00:58:43,480
Speaker 3: Payments were we've all I know, we're waiting on that

767
00:58:43,800 --> 00:58:46,960
and just you know, thinking about even PayPal too. It's

768
00:58:47,000 --> 00:58:51,000
crazy just what Fate loves Irony doing x dot com

769
00:58:51,159 --> 00:58:55,360
back in what the late nineties and then full force

770
00:58:55,440 --> 00:58:59,079
buying it, you know, years back, and now now you're

771
00:58:59,119 --> 00:59:00,280
doing payments again.

772
00:59:02,440 --> 00:59:09,360
Speaker 2: Yeah, it's a sort of poetic and or or returning

773
00:59:10,239 --> 00:59:14,440
to something that we're sort of unfinished with PayPal and

774
00:59:15,639 --> 00:59:16,760
completing the product. One.

775
00:59:20,320 --> 00:59:23,159
Speaker 6: What role do you think rock and x AI play

776
00:59:23,239 --> 00:59:25,840
in the future of x Is it just a feature,

777
00:59:26,000 --> 00:59:29,119
a core intelligence layer or does that change how people

778
00:59:29,159 --> 00:59:30,239
experience the platform?

779
00:59:33,440 --> 00:59:37,519
Speaker 2: Yeah, grow I think it's pretty helpful because that that

780
00:59:37,960 --> 00:59:41,199
grock button. But you can press about any given posts

781
00:59:41,239 --> 00:59:45,599
on the system, and it's analysis of the post. It's

782
00:59:45,639 --> 00:59:50,159
usually quite accurate. It isn't bad a thousand, but it's

783
00:59:50,559 --> 00:59:53,599
really gives you keep your insight into any given piece

784
00:59:53,639 --> 00:59:57,440
of information that somebody posts on the system. You can

785
00:59:57,480 --> 01:00:00,800
figure out what context U helps you figure out if

786
01:00:00,840 --> 01:00:06,519
it's true or not. And we actually just added Crock

787
01:00:06,679 --> 01:00:10,440
role advertising on the system, so you can you can

788
01:00:10,519 --> 01:00:14,960
press the Crock button and see this ad. Does this

789
01:00:15,079 --> 01:00:18,400
product can work? Or is it? Uh? Is this productal

790
01:00:18,440 --> 01:00:21,679
legit or not? Which I kind of always wanted to

791
01:00:21,719 --> 01:00:24,079
hap on ads. You know, it's like, this thing really work?

792
01:00:25,880 --> 01:00:27,440
That's what I want to ask a lot of ads,

793
01:00:27,800 --> 01:00:30,119
And now on the X system you can ask this

794
01:00:30,239 --> 01:00:34,920
thing really works? I guess advertisings were Grock says it

795
01:00:34,960 --> 01:00:37,840
doesn't really work. I'm probably not going to advertise very long.

796
01:00:39,679 --> 01:00:43,440
Maybe it'll encourage better honesty and advertising, which I think

797
01:00:43,559 --> 01:00:52,199
is a good thing. But we're just generally trying to

798
01:00:52,239 --> 01:00:54,480
make excess system that you can trust more than any

799
01:00:54,480 --> 01:00:59,320
othersism and I think I think it is there already.

800
01:00:59,519 --> 01:01:04,000
It's just not say that X is perfect. It's definitely mistakes.

801
01:01:04,119 --> 01:01:08,119
But is there any social media company you trust more

802
01:01:08,159 --> 01:01:15,000
than X? No? Nope. So it's like I'm not trusting

803
01:01:15,079 --> 01:01:22,280
Page Book, you know. So I'm not to pick on Facebook,

804
01:01:22,599 --> 01:01:27,920
but you know, I think it's actually probably fair to

805
01:01:28,000 --> 01:01:32,519
to day that X is the most trustworthy or least

806
01:01:32,639 --> 01:01:34,519
untrustworthy of social networks.

807
01:01:35,840 --> 01:01:40,000
Speaker 3: Yeah, I think that became very apparent just when you saw,

808
01:01:40,480 --> 01:01:42,920
like when you just compare of like the news during

809
01:01:43,000 --> 01:01:47,159
COVID and things being censored. Yeah, and you know, just

810
01:01:47,280 --> 01:01:49,239
you come to X and you can find out what's

811
01:01:49,320 --> 01:01:53,360
really happening. Yeah, and it's real time. It's really like

812
01:01:53,519 --> 01:01:56,679
the I would say, the you know, the world's discourse

813
01:01:56,800 --> 01:01:59,719
in town Square, Right. It can sometimes be a fistfight,

814
01:01:59,800 --> 01:02:03,320
if like, but at the same time, it's just you know,

815
01:02:03,440 --> 01:02:05,119
where you can find out what's really going.

816
01:02:05,039 --> 01:02:09,800
Speaker 2: On, right, And that's the goal, and I do want size.

817
01:02:09,840 --> 01:02:14,320
Obviously there's a long way to go. It's far from perfect,

818
01:02:15,000 --> 01:02:18,639
but I do think it's getting better over time. And yeah,

819
01:02:18,679 --> 01:02:23,679
sometimes two steps toward, one step back. But the trend

820
01:02:23,719 --> 01:02:26,800
of a time I think is very good for X

821
01:02:26,960 --> 01:02:29,480
being the place where you can figure out what's really

822
01:02:29,519 --> 01:02:32,400
going on in the world, to get to the truth,

823
01:02:32,880 --> 01:02:36,440
and you can ask Rock more. You go to learn

824
01:02:36,440 --> 01:02:38,719
a lot of things, so you can ask if there's

825
01:02:39,000 --> 01:02:43,840
a new thing that's invented or announced, you can ask

826
01:02:44,000 --> 01:02:49,320
Rock on the system more about it and instantly educate yourself.

827
01:02:51,360 --> 01:02:52,199
Speaker 4: Yeah, I don't think I've been.

828
01:02:52,400 --> 01:02:56,039
Speaker 2: And then we monitor when GROC gets things wrong, and

829
01:02:56,079 --> 01:02:58,719
then we feed that, we feed that back into the

830
01:02:58,800 --> 01:03:03,039
system to make it aspirational less wrong over time.

831
01:03:11,280 --> 01:03:14,679
Speaker 3: Yeah, it's really just crazy to think. You know, when

832
01:03:14,679 --> 01:03:16,480
you talk to GROC and you can ask it for

833
01:03:17,000 --> 01:03:19,239
just things that in your timeline, Hey make a post

834
01:03:19,320 --> 01:03:22,159
sound like me on this topic or you want it's

835
01:03:22,199 --> 01:03:22,719
pretty fun.

836
01:03:23,000 --> 01:03:25,440
Speaker 2: Yeah, like we already actually aiming for GROCK to be

837
01:03:25,519 --> 01:03:29,239
the actually interesting. Two gold are for GROCK to be

838
01:03:29,320 --> 01:03:34,199
the most true seeking AI, but also the funniest AI,

839
01:03:35,000 --> 01:03:38,079
because you've gotta have some fun in life, and you know, uh,

840
01:03:38,840 --> 01:03:42,559
laughter is the best medicine you gotta you gotta have

841
01:03:42,639 --> 01:03:43,000
some fun.

842
01:03:52,880 --> 01:03:57,559
Speaker 3: Y elon, you've predicted a world of abundant energy, robotic

843
01:03:57,679 --> 01:04:01,400
labor and a g I uh with AI and optimists

844
01:04:02,159 --> 01:04:06,320
doing you know, potentially a lot of things and reducing

845
01:04:06,400 --> 01:04:08,800
the amount of things that we're doing today. What do

846
01:04:08,880 --> 01:04:12,320
you think is left for humans? And really what does

847
01:04:12,400 --> 01:04:16,599
that mean for in the world of artificial superintelligence?

848
01:04:18,239 --> 01:04:27,360
Speaker 2: Yeah, that's inesting I struggle with. Actually, this is part

849
01:04:27,400 --> 01:04:34,119
of the reasons for your line, which is two improve

850
01:04:35,119 --> 01:04:40,360
the band communication with AI so to help achieve a

851
01:04:40,440 --> 01:04:45,679
better human AI smiosis so that you know, AI knows

852
01:04:45,719 --> 01:04:50,400
what we want and it can respond to collective human

853
01:04:50,440 --> 01:04:54,880
will and I think things like you really can actually

854
01:04:56,760 --> 01:05:07,880
effectively dramatically increased our intelligence. But I think the cuture

855
01:05:08,000 --> 01:05:12,599
is very much one where human intelligence, machine intelligence, and

856
01:05:12,800 --> 01:05:20,079
robots are interwoven. I think said, I think it's eighty

857
01:05:20,559 --> 01:05:24,559
maybe ninety percent likely to be awesome, but we've got

858
01:05:24,639 --> 01:05:27,199
to be quocious about that, you know, ten percent maybe

859
01:05:27,280 --> 01:05:33,239
not asome situation like Terminator. Yeah, I mean seriously, that's

860
01:05:34,800 --> 01:05:37,039
you know, stuff like that would be that.

861
01:05:40,079 --> 01:05:43,119
Speaker 6: What's your vision for a society where human effort is

862
01:05:43,239 --> 01:05:47,079
no longer required for survival or productivity? How do we

863
01:05:47,199 --> 01:05:48,760
avoid irrelevance?

864
01:05:50,760 --> 01:06:04,000
Speaker 2: Right? I think the central question, well, if you are

865
01:06:04,920 --> 01:06:13,039
symbiotic with AI, where we there's this essentially a human

866
01:06:13,199 --> 01:06:18,639
machine intelligence, then we may be able to address the

867
01:06:18,679 --> 01:06:24,000
relevance question. You know, like, let's say you uh ride

868
01:06:24,039 --> 01:06:28,559
a bicycle or a motorcycle or a car. You're you're

869
01:06:28,559 --> 01:06:31,360
a super human and what you're able to do. You

870
01:06:31,480 --> 01:06:36,199
can now travel faster than any human with legs. I mean,

871
01:06:36,239 --> 01:06:39,559
if you're a car, you can go faster faster than

872
01:06:39,960 --> 01:06:40,800
the fastest human.

873
01:06:40,880 --> 01:06:41,000
Speaker 3: Ever.

874
01:06:44,480 --> 01:06:48,280
Speaker 2: Does that make funning irrelevant? I mean you'll still run

875
01:06:49,400 --> 01:06:54,800
and race against each other. So but but you've got

876
01:06:55,000 --> 01:06:59,920
to humans working with machines. I mean they actually had

877
01:07:00,079 --> 01:07:03,599
these kind of debates when the Zeam engine came along,

878
01:07:04,480 --> 01:07:09,480
and then the trouble It's like, well, because people drive

879
01:07:09,519 --> 01:07:13,880
a lot of their value from saying that they can

880
01:07:14,760 --> 01:07:18,320
do manual cast the machine, and then the machine got.

881
01:07:20,079 --> 01:07:20,119
Speaker 4: So.

882
01:07:24,400 --> 01:07:26,599
Speaker 2: But this is a philosophical question that I struggle with,

883
01:07:29,679 --> 01:07:31,920
and the best thing I came up with is that

884
01:07:32,400 --> 01:07:38,519
you have inter open human machine intelligence and UH got

885
01:07:38,559 --> 01:07:42,320
something like your link to open in human intelligence and

886
01:07:42,480 --> 01:07:50,360
improve the symbiosis with AI that that we effectively become

887
01:07:51,400 --> 01:07:58,119
maybe one with the ail.

888
01:07:58,360 --> 01:08:01,320
Speaker 3: You are sorry, the audience was about to clap and

889
01:08:01,360 --> 01:08:07,320
I start talking, but elon you. You know you're you're

890
01:08:07,400 --> 01:08:10,519
solving uh. I guess in a lot of ways is

891
01:08:10,639 --> 01:08:13,639
sometimes you say you know a lot of problems, and

892
01:08:13,800 --> 01:08:16,439
in a lot of ways you're creating a very exciting

893
01:08:16,520 --> 01:08:20,039
future with reusable rockets, the mission to Mars with Starship,

894
01:08:20,880 --> 01:08:24,239
with the humanoid robots, and how it's gonna just the

895
01:08:24,319 --> 01:08:24,800
impact that.

896
01:08:24,840 --> 01:08:27,640
Speaker 4: It'll have and near Link and seeing the impact on

897
01:08:29,479 --> 01:08:30,560
Nolan and Brad.

898
01:08:31,279 --> 01:08:36,399
Speaker 3: What what gives you hope for today, not just for

899
01:08:36,560 --> 01:08:38,760
humanity and civilization but personally.

900
01:08:43,800 --> 01:08:46,079
Speaker 2: Well, I think the future is going to be very

901
01:08:46,199 --> 01:08:58,279
interesting and exciting, and and I guess I think what

902
01:08:58,439 --> 01:09:02,840
I want to be at any other point in human history?

903
01:09:04,079 --> 01:09:06,319
Is there some other point in human history that that

904
01:09:07,520 --> 01:09:10,319
is more interesting than where we are today? And I

905
01:09:10,399 --> 01:09:13,399
think that's there's no at least for me. I think

906
01:09:13,439 --> 01:09:18,199
we're the most interesting part of human ditty, and it's

907
01:09:18,279 --> 01:09:27,680
getting more interesting with each passing mode. And so that's okay. Well,

908
01:09:27,720 --> 01:09:31,239
if I'm in, if I'm in the auto history, that

909
01:09:31,399 --> 01:09:35,640
that is the most interesting, then I think, you know,

910
01:09:35,720 --> 01:09:38,560
anyone feels that way, and I think a lot of

911
01:09:38,600 --> 01:09:42,800
people feel that way. That we should feel very lucky

912
01:09:42,840 --> 01:09:46,239
to be alive at this time to see these amazing

913
01:09:46,319 --> 01:09:46,840
things happen.

914
01:09:55,119 --> 01:09:57,199
Speaker 4: Well, Elon, we wanted to do a time check.

915
01:09:58,359 --> 01:10:01,840
Speaker 2: But also I better get back to my eight jobs.

916
01:10:02,319 --> 01:10:05,640
Speaker 4: Yeah exactly, you're not a busy man at all.

917
01:10:06,600 --> 01:10:09,600
Speaker 3: But we just Kelvin and I we just want to

918
01:10:09,800 --> 01:10:13,319
on behalf of test owners of Silicon Valley, test Owners

919
01:10:13,399 --> 01:10:18,159
Austria sand Looking Valley and really just all the fifteen

920
01:10:18,279 --> 01:10:20,000
hundred people that traveled.

921
01:10:19,640 --> 01:10:20,520
Speaker 4: From all over the world.

922
01:10:20,640 --> 01:10:22,840
Speaker 3: We just want to personally just say thank you for

923
01:10:23,039 --> 01:10:27,199
all you're doing and thank you for continuing to push

924
01:10:27,279 --> 01:10:28,000
humanity forward.

925
01:10:29,039 --> 01:10:29,520
Speaker 2: Well, thank you.

926
01:10:32,560 --> 01:10:35,039
Speaker 4: Yeah, you have a whole bunch of people here just cheering.

927
01:10:35,439 --> 01:10:37,880
So thank you for all you're doing.

928
01:10:38,640 --> 01:10:42,800
Speaker 2: Thank you well, and and thank you for your support

929
01:10:42,880 --> 01:10:49,399
over the years. I super appreciate it. And I would

930
01:10:49,479 --> 01:10:50,840
say my heart goes out to you, but I have

931
01:10:50,920 --> 01:10:51,439
to watch my.

932
01:10:53,319 --> 01:10:54,159
Speaker 4: We know what you mean.

933
01:10:56,239 --> 01:11:02,920
Speaker 2: I can only point straight ahead or straight up. Hey,

934
01:11:03,600 --> 01:11:08,359
so we want but anyway, and thank you all for

935
01:11:08,439 --> 01:11:09,399
your sport over the years.

936
01:11:09,880 --> 01:11:12,119
Speaker 4: Yeah, and we just had one thing that we wanted

937
01:11:12,199 --> 01:11:13,279
to present to you.

938
01:11:14,199 --> 01:11:25,600
Speaker 7: Okay, how's it going, Elon so On behalf of ts

939
01:11:25,960 --> 01:11:31,359
T O SV and uh the presenting sponsors Haha. Yes,

940
01:11:33,039 --> 01:11:37,239
we we wanted to present something to you that was symbolic,

941
01:11:37,640 --> 01:11:41,840
meaningful and really, you know, these last few months have

942
01:11:42,119 --> 01:11:45,920
obviously been quite tumultuous for you, and so we really

943
01:11:46,439 --> 01:11:50,359
got creative and really, uh yeah, we wanted to create

944
01:11:50,399 --> 01:11:52,920
you something special, and so I'm going to read you

945
01:11:53,000 --> 01:11:57,199
something basically. You know, Elon, you brought electric cars back

946
01:11:57,239 --> 01:12:00,960
from the dead, you made clean energy cool, you made

947
01:12:01,079 --> 01:12:05,760
rockets reusable, You're going to take us to Mars. You

948
01:12:05,880 --> 01:12:09,960
spent billions to buy Twitter and save free speech. You

949
01:12:10,079 --> 01:12:12,880
stopped running your empire to work for the US government

950
01:12:13,119 --> 01:12:17,279
for free, to reduce wasteful spending, to save the country

951
01:12:17,319 --> 01:12:18,039
from bankruptcy.

952
01:12:18,760 --> 01:12:21,439
Speaker 2: Right, and I took a few rs for that one.

953
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Speaker 4: Clear, and and and and how and how were you thinked?

954
01:12:27,560 --> 01:12:30,840
Speaker 7: It's like you were betrayed. You were you were mocked,

955
01:12:31,199 --> 01:12:33,960
attacked by the very people who once cheered you on

956
01:12:36,239 --> 01:12:39,520
your name, dragged through the mud, your cars vandalized, your

957
01:12:39,600 --> 01:12:43,760
motives questioned. But that's not the full story, as I

958
01:12:43,960 --> 01:12:47,199
imagine many here what a test. So there are millions

959
01:12:47,239 --> 01:12:52,600
of people who see you for who you are, people

960
01:12:52,640 --> 01:12:55,520
whose lives you've touched and changed, people who believe in

961
01:12:55,640 --> 01:12:58,399
what you're building, people who love you and have your back.

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01:12:59,000 --> 01:13:00,880
Speaker 2: Thank you, so yeah, thank you,