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Elon Musk Latest Interview - The Future Engineering. · Elon Musk Thinking

• 0:02
  Speaker 1: Hey, everybody, wasn't it great to hear from Lars. You
• 0:08
  Speaker 1: can just tell he he loves what he's doing, and
• 0:11
  Speaker 1: that really just comes through when you talk to him.
• 0:13
  Speaker 1: Somebody else that loves what they do is our next
• 0:17
  Speaker 1: pseudo surprise. We announced it what an hour or something ago.
• 0:21
  Speaker 1: You might know him. He's a guy named Elon. Maybe
• 0:25
  Speaker 1: you've heard of him. He's got a couple followers on
• 0:27
  Speaker 1: this platform called X. I don't know, you know some
• 0:30
  Speaker 1: new guy. No Elon Musk, the CEO of Tesla, will
• 0:34
  Speaker 1: be joining us virtually here momentarily and to chat with
• 0:37
  Speaker 1: him for second or third year in a row, now, gosh,
• 0:41
  Speaker 1: second year in a row. Please welcome back of course,
• 0:43
  Speaker 1: John and Calvin from the Tesla Owners Club of Silicon Valley.
• 0:47
  Speaker 2: All right, let's go have fun, guys.
• 0:53
  Speaker 3: Man, the race horses out there all was causing a
• 0:55
  Speaker 3: Ruckus family friendly event.
• 0:57
  Speaker 4: Guys, crazy, what a day? What a day.
• 1:02
  Speaker 3: So obviously, thank you so much to Lars and Steve
• 1:07
  Speaker 3: for coming on here.
• 1:08
  Speaker 4: And I believe we have Elon On.
• 1:11
  Speaker 3: So it's just a matter of I feel like, you know,
• 1:14
  Speaker 3: just bringing him on the screen and stuff.
• 1:17
  Speaker 4: Wha.
• 1:24
  Speaker 3: Yeah, it actually kind of looks like Mars in some ways.
• 1:28
  Speaker 2: Perseverance Is that a cap right there too, it's a
• 1:34
  Speaker 2: posseverance rover on Mars.
• 1:36
  Speaker 4: Oh my gosh, that's awesome.
• 1:38
  Speaker 2: Yeah.
• 1:39
  Speaker 3: Well, first off, Elon, thanks for coming to the X
• 1:42
  Speaker 3: takeover formerly a test Let's take over for the second
• 1:45
  Speaker 3: year in a row.
• 1:47
  Speaker 2: Hi, welcome.
• 1:50
  Speaker 3: Well let's let's kick things off. Let's start off, start
• 1:53
  Speaker 3: off with you know, really your baby, the Starship. Starship
• 1:58
  Speaker 3: is the most ambition is rocket ever built. What's been
• 2:02
  Speaker 3: harder than expected? And what's the next milestone we should
• 2:05
  Speaker 3: watch for?
• 2:10
  Speaker 2: Well, I thought everything would be hard, so it's not
• 2:13
  Speaker 2: like it was like.
• 2:15
  Speaker 4: It would be easy.
• 2:17
  Speaker 2: Yeah, yeah, I mean, Starship is is a crazy program
• 2:21
  Speaker 2: on so many levels. Because if you've got something with
• 2:26
  Speaker 2: two and a half and future versions will be three
• 2:30
  Speaker 2: times the thrust of the Saturn by Ron rocket, which
• 2:33
  Speaker 2: was previously largest rocket and largest playing object ever made.
• 2:37
  Speaker 2: So Starship is you know, three times thrust, roughly twice
• 2:45
  Speaker 2: the weight of the next largest playing object haven't made,
• 2:49
  Speaker 2: and has the goal of being fully and rapidly reusable.
• 2:53
  Speaker 2: So this is a this is a really crazy thing too.
• 2:57
  Speaker 2: I think it's really one of the hottest engineering challenges
• 2:59
  Speaker 2: that exists. And you know, when we first started talking
• 3:06
  Speaker 2: about Starship, people thought this was impossible. In fact, even
• 3:10
  Speaker 2: within the company, we we sort of thought it was impossible,
• 3:12
  Speaker 2: and it had a very high sort of work called
• 3:15
  Speaker 2: gigle factor. You know, you mentioned the thing and people
• 3:18
  Speaker 2: immediately start giggling, like at the absurdity of it all.
• 3:24
  Speaker 2: So now, but now it's gone from uh as say
• 3:26
  Speaker 2: we you know, I guess I specialize in the going
• 3:30
  Speaker 2: from the impossible to the merely late. So that's my skill.
• 3:38
  Speaker 2: It was impossible and now it's just late. So uh
• 3:44
  Speaker 2: And I encourage anyone who's interested to go and visit
• 3:46
  Speaker 2: star Base in South Texas. It's like a magical land
• 3:50
  Speaker 2: with gigantic rockets. I think some of you would Yeah,
• 3:53
  Speaker 2: it's inane, but it's very inspiring. It's like I take
• 3:56
  Speaker 2: take breaths of family. It's on a major highway, so
• 3:58
  Speaker 2: you can see things quite us up and really gets
• 4:03
  Speaker 2: a sense for the scale of the of the rocket
• 4:05
  Speaker 2: and the factory and everything. So it's it's very cool.
• 4:12
  Speaker 2: I guess the thing that I thought would be hottest
• 4:15
  Speaker 2: currently is the hottest, which is the creating a fully
• 4:19
  Speaker 2: reusable obital heat shield, which has never been done before.
• 4:22
  Speaker 2: So normally the heat shields are they're they're expendable, and
• 4:28
  Speaker 2: even say for the Shuttle heat shield, they would lose
• 4:30
  Speaker 2: many of the tiles on every flight and they have
• 4:33
  Speaker 2: to refurbish the heat shield between each flight, so it's
• 4:36
  Speaker 2: it's never no one has ever created a fully reasonable
• 4:39
  Speaker 2: obital heat shield before, and no one, no one has
• 4:44
  Speaker 2: created a fully reusable obital rocket before. And Falcon nine
• 4:49
  Speaker 2: is the first rocket where there's at least the boostage
• 4:52
  Speaker 2: is reusable on a regular basis and where it actually
• 4:57
  Speaker 2: makes economic sense. So so so, solving the heat shield
• 5:04
  Speaker 2: problem is i think probably the single biggest remaining challenge
• 5:06
  Speaker 2: for Starship, and and of course getting the upper stage
• 5:14
  Speaker 2: for the ship to land and also get caught by
• 5:17
  Speaker 2: the giant metal chopsticks, which looks looks like a sci
• 5:22
  Speaker 2: fi movie. That looks it looks like an improbable sci
• 5:25
  Speaker 2: fi movie. The whole thing.
• 5:27
  Speaker 4: Chop sticks literally catturing it, catching it.
• 5:30
  Speaker 2: Yeah, giant metal chopsticks. That's it's pretty well to be
• 5:39
  Speaker 2: catching the largest ling object ever made with metal chop
• 5:42
  Speaker 2: sticks out of there. So then the but I'm hopeful
• 5:48
  Speaker 2: that the ship will be will be recover maybe this year,
• 5:53
  Speaker 2: but certainly let's say in the first half of next year,
• 5:57
  Speaker 2: and then there'll be further improvements to make the ship
• 6:01
  Speaker 2: and the boost not just reusable, but fully and rapidly reusable,
• 6:05
  Speaker 2: which will actually drop the cost for a flight cost
• 6:08
  Speaker 2: per ton of payload of starship below that of a
• 6:13
  Speaker 2: Falcon one rocket of an expendable Falcon one, so that
• 6:18
  Speaker 2: getting one hundred tons or more to orbit a useful
• 6:21
  Speaker 2: payload will cost less than a rocket that would ordinarily
• 6:26
  Speaker 2: deliver half a ton that was Falcon one. And it's
• 6:29
  Speaker 2: because all you're doing is replacing the fuel and oxygen
• 6:34
  Speaker 2: in the rocket as opposed to bullying a new rocket,
• 6:38
  Speaker 2: and most of the propellant is actually oxygen, not fuel.
• 6:41
  Speaker 2: It's but it's almost eighty percent oxygen twenty percent fuel.
• 6:46
  Speaker 2: Then the next big technology challenge, after being able to
• 6:53
  Speaker 2: achieve full use of the pull reuse of the ship,
• 6:57
  Speaker 2: is orbital refilling, where where we actually refiel propellant from
• 7:06
  Speaker 2: from over like like like Aerial refueling in this case
• 7:10
  Speaker 2: is orbital refilling. I say refilling, not refueling, because most
• 7:14
  Speaker 2: of what's transferred is actually liquid oxygen as opposed to fuel.
• 7:19
  Speaker 2: So for orbital refilling. You you need to have two
• 7:23
  Speaker 2: starships come together and dark and transfer propellant from one
• 7:29
  Speaker 2: starship to another and then and then in the future
• 7:33
  Speaker 2: to an orbit obitable propellant depot. Yeah, so that's that's
• 7:38
  Speaker 2: the situation.
• 7:41
  Speaker 4: Doesn't sound hard to just show.
• 7:43
  Speaker 2: I mean, it is very feeble. There's nothing nothing is
• 7:49
  Speaker 2: nothing impossible is being talked about here, but it is.
• 7:51
  Speaker 2: It is very tricky to do, and and and no
• 7:57
  Speaker 2: other organization is even trying to do this. It's like,
• 8:00
  Speaker 2: so I'm like, well, who else is trying to do this?
• 8:02
  Speaker 2: Will love it? You Actually, so, in fact, even after
• 8:10
  Speaker 2: all these years, there's still a company that's reusing a booster.
• 8:15
  Speaker 2: So uh, no one's even tried to do Balcon nine
• 8:18
  Speaker 2: level reusability, even even though we've shown that that it
• 8:22
  Speaker 2: clearly makes a ton of sense because you know, compare
• 8:28
  Speaker 2: the cost of any form of transport.
• 8:30
  Speaker 5: Where if you have to throw away the item afterwards,
• 8:34
  Speaker 5: like if you've got if you have to if every
• 8:36
  Speaker 5: time you drove somewhere you have to throw away the car,
• 8:39
  Speaker 5: you'd be wow, that's a that's a that's a that's
• 8:42
  Speaker 5: a crazy car where you have to throw away after
• 8:44
  Speaker 5: every every.
• 8:45
  Speaker 2: Time you drive it. But that's how it works for
• 8:48
  Speaker 2: for rockets, So that is really yeah, I don't think
• 8:55
  Speaker 2: I want to be driving a car if yeah, to
• 8:58
  Speaker 2: buy a new car every time you drove somewhere and
• 9:00
  Speaker 2: you have to tow another car behind you for the
• 9:02
  Speaker 2: return journey.
• 9:07
  Speaker 6: Elan, what does he? Yeah, yeah, so talk about the impossible, Elan.
• 9:12
  Speaker 6: What does a self sustaining city on Mars actually look like?
• 9:15
  Speaker 6: How many people, what kind of economy, what kind of governance?
• 9:20
  Speaker 2: Well, uh, that that'll that'll governance will be up to
• 9:24
  Speaker 2: the Martians. But you know, we we have some sort
• 9:29
  Speaker 2: of artist impressions of what Mars said he would look like, uh,
• 9:35
  Speaker 2: the and I don't really know to be honest, you know,
• 9:39
  Speaker 2: except that Mars is not yet at the point where
• 9:43
  Speaker 2: we're sort of terrified. We live outdoors, so you have
• 9:50
  Speaker 2: to live initially in bars domes or something like that.
• 9:57
  Speaker 2: And and then you can you can walk outside with
• 10:00
  Speaker 2: a Mars suit, but you could you could not walk
• 10:02
  Speaker 2: outside without a Mars suit. So yeah, it's uh. But
• 10:19
  Speaker 2: I just also said, like, maybe explain for those who
• 10:22
  Speaker 2: haven't heard of like like why why why is it
• 10:25
  Speaker 2: worth doing something like this? What what's the purpose of Mars.
• 10:31
  Speaker 2: Shouldn't we just focus on Earth? And I'm like, yeah,
• 10:33
  Speaker 2: I think we should focus on Earth. Like ninety of
• 10:36
  Speaker 2: what we do should we focused on Earth, but maybe
• 10:39
  Speaker 2: one percent of what we do should be should be
• 10:44
  Speaker 2: focused on on becoming a space for civilization in a
• 10:49
  Speaker 2: multiplane species, because it's for there's that depends of argument
• 10:54
  Speaker 2: where it's you know, it's it's it's if something would
• 11:03
  Speaker 2: have happened to Earth and that destroyed civilization. This could
• 11:08
  Speaker 2: be World War three, or it could be a meteor
• 11:11
  Speaker 2: like one that destroyed the dinosaurs, then we want to
• 11:14
  Speaker 2: make sure that the tiny candle of consciousness that exists
• 11:19
  Speaker 2: with humanity does not go out. And so there's I
• 11:25
  Speaker 2: think it's important to be a multiplant species to ensure
• 11:28
  Speaker 2: the long term survival of consciousness and all and all
• 11:31
  Speaker 2: the life forms that that we we have here on Earth.
• 11:35
  Speaker 2: So and you know, the the other life forms can't
• 11:39
  Speaker 2: extend life to another planet, but but we we can
• 11:43
  Speaker 2: do it for them. We can we can bring there.
• 11:51
  Speaker 2: And it's clear I'm an optimist. I mean, I think
• 11:53
  Speaker 2: the most likely outcome is that the future will be good,
• 11:55
  Speaker 2: but there's a small chance that the future that that's
• 11:57
  Speaker 2: something will go wrong, and if so, we don't want
• 12:00
  Speaker 2: to the light of consciousness to go out on that,
• 12:03
  Speaker 2: you know, we want we want a light of conscious
• 12:05
  Speaker 2: light of consciousness to continue. So that's kind of the
• 12:08
  Speaker 2: defensive argument, and then the then there's also the sort
• 12:10
  Speaker 2: of the the the sort of the the inspiration argument,
• 12:14
  Speaker 2: which is that life can't be just about solving one
• 12:19
  Speaker 2: sort of miserable problem. Ar you about the future that
• 12:26
  Speaker 2: make you, that make you excited to be alive and
• 12:29
  Speaker 2: make you, you know, you wake up in the morning, you're like,
• 12:32
  Speaker 2: I can't wait to see what happens. They have any
• 12:34
  Speaker 2: things like that too, and what they learn everyone on Earth,
• 12:48
  Speaker 2: just like the Apollo program was inspiring to everyone on Earth,
• 12:51
  Speaker 2: whether you went there. Obviously very few people went there,
• 12:53
  Speaker 2: but but it was in a way we all vicariously
• 12:57
  Speaker 2: went to the Moon and it was a great achievement
• 13:00
  Speaker 2: to humanity and it was very inspiring to people all
• 13:02
  Speaker 2: around the world. So and you're learning more about the
• 13:08
  Speaker 2: nature of the universe and seeing what's happening out there.
• 13:12
  Speaker 2: Even if you don't go yourself, it's still very it's
• 13:14
  Speaker 2: very inspiring. So that, yeah, I think those were all
• 13:19
  Speaker 2: things that matter a lot.
• 13:21
  Speaker 3: Yeah, I mean it's truly truly inspiring what SpaceX and
• 13:24
  Speaker 3: even Tesla are doing.
• 13:26
  Speaker 4: Do you ever foresee SpaceX?
• 13:34
  Speaker 7: Uh?
• 13:35
  Speaker 2: Hello?
• 13:36
  Speaker 4: Yeah? Are you there? Are you there?
• 13:41
  Speaker 2: Sorry? Guys, if you're talking to me, I cannot hear you?
• 13:44
  Speaker 4: All right? Do you want to go check with? Can
• 13:47
  Speaker 4: you hear me? Do you want to go check with? Noah?
• 13:48
  Speaker 2: Real quick?
• 13:49
  Speaker 6: Yeah?
• 13:51
  Speaker 2: That's right?
• 13:52
  Speaker 4: Can you hear us? Elon? Should I make a joke
• 13:57
  Speaker 4: out of this or not? Can you hear me now? Elon?
• 14:04
  Speaker 2: Yeah?
• 14:04
  Speaker 3: The audio Hopefully we back in seconds, but bear with
• 14:09
  Speaker 3: us as we navigate this. At least Elon's still there
• 14:15
  Speaker 3: with the perseverance.
• 14:17
  Speaker 4: Rover check, check, John check. Can you hear me? Can
• 14:26
  Speaker 4: you hear me?
• 14:28
  Speaker 2: Are we back? Well?
• 14:30
  Speaker 4: I don't think we can hear him.
• 14:31
  Speaker 2: Guys.
• 14:38
  Speaker 4: People are waving at you, Elon if you can't see them.
• 14:40
  Speaker 3: But yeah, sorry about these audio difficulties. Hopefully we can
• 14:46
  Speaker 3: get this up and run on you.
• 14:49
  Speaker 4: Are you there?
• 14:50
  Speaker 2: Can you hear me?
• 14:51
  Speaker 6: Yeah?
• 14:52
  Speaker 3: Okay, I was gonna ask you to dance while you
• 14:55
  Speaker 3: were waiting silently, but you know, I figured we'd wait
• 14:58
  Speaker 3: for that.
• 14:59
  Speaker 2: I'm joking. What did you do? Did you hear what
• 15:02
  Speaker 2: I said earlier?
• 15:03
  Speaker 3: Yeah, we did, and that I think yeah, yeah for sure. No,
• 15:06
  Speaker 3: So we were what the what the question was is
• 15:09
  Speaker 3: we were asking do you think that SpaceX is eventually
• 15:12
  Speaker 3: going to go interstellar?
• 15:14
  Speaker 4: Is there a plan?
• 15:17
  Speaker 2: So? Uh yeah, I'm probably not in my life, but
• 15:26
  Speaker 2: probably have time, but yes, eventually, Elon, can you hear me,
• 15:34
  Speaker 2: I can hear yes. Okay, let's talk about Robotaxi.
• 15:37
  Speaker 6: How do you see the Robotaxi platform coexisting with the
• 15:40
  Speaker 6: rest of Tesla's lineup? Will replace the Model three?
• 15:43
  Speaker 2: And why? Well, this cyber cap which is a two
• 15:57
  Speaker 2: seater and that would they would not replace the tree
• 16:02
  Speaker 2: and why? Because and why? I have four seater and
• 16:05
  Speaker 2: six se cabildy, So I think you'd find that the
• 16:10
  Speaker 2: cyber cab would be for one or two passengers and
• 16:15
  Speaker 2: then dynamically it would call the Model three Model three
• 16:20
  Speaker 2: or why four passengers or why for six packages? And
• 16:25
  Speaker 2: you know, and they will the large vehicles. I mean
• 16:30
  Speaker 2: this this is not the forum for making make product announcements. Uh. Uh,
• 16:38
  Speaker 2: to be totally honest, so I gotta be you know,
• 16:42
  Speaker 2: a little careful here about what I say.
• 16:45
  Speaker 4: We got you?
• 16:46
  Speaker 3: Uh, does Tesla plan on owning a large fleet of
• 16:49
  Speaker 3: robotaxis and then when will private citizens be able to
• 16:53
  Speaker 3: go on the Tesla network?
• 16:58
  Speaker 2: Uh? Yes, will own some of the Uh the fleet
• 17:03
  Speaker 2: will be Tesla owned and some of the fleet will
• 17:05
  Speaker 2: be customer owned. So you could think of it as
• 17:08
  Speaker 2: a model kind of like maybe some combination that we
• 17:11
  Speaker 2: were in AIRBND, where you know, some people own the
• 17:17
  Speaker 2: cars and then add the sort of track them to
• 17:19
  Speaker 2: the fleet, and and some cars are owned by Tesla
• 17:23
  Speaker 2: uh directly.
• 17:28
  Speaker 6: So if Robotaxi succeeds elon, how how does Tesla navigate
• 17:33
  Speaker 6: the paradox of making the best cars in the world
• 17:35
  Speaker 6: but also possibly needing fewer of them.
• 17:44
  Speaker 2: Well, you, guys, I think it's something me to answer
• 17:50
  Speaker 2: questions because this is a publicly traded company and so
• 17:54
  Speaker 2: you know, this is the most interesting questions you'd want
• 17:59
  Speaker 2: to ask me all the questions I can really answered.
• 18:02
  Speaker 3: No, yeah, of course, no, we definitely don't want to
• 18:05
  Speaker 3: put you on the spot there. So I think you
• 18:09
  Speaker 3: posted a week or two ago about and even Lars
• 18:12
  Speaker 3: mentioned it about just the roadster program and how it's
• 18:17
  Speaker 3: still active. What can you tell us about its current
• 18:19
  Speaker 3: development status?
• 18:23
  Speaker 2: Well, we're aiming for a demonstration at the end of
• 18:32
  Speaker 2: the year. I mean, the roadster is not something that
• 18:38
  Speaker 2: spoke to meaningfully effect to the financials of the company.
• 18:43
  Speaker 2: There's two small relatives to other programs, so it is
• 18:48
  Speaker 2: very cool. Hopefully we're able to do your demore. But
• 18:55
  Speaker 2: early next lays.
• 19:05
  Speaker 3: You said that Optimists could be more valuable than Tesla's
• 19:10
  Speaker 3: entire automotive business. What's what's the roadmap from where we
• 19:17
  Speaker 3: are today to widespread deployment?
• 19:22
  Speaker 2: You know, again, you're really asking me for questions that
• 19:24
  Speaker 2: are highly sensitive to the value of the company, and so, uh,
• 19:33
  Speaker 2: that's not really something I can answer. The current version
• 19:43
  Speaker 2: three of options, I think it's right design to go
• 19:49
  Speaker 2: to volume production, but it is a significant redesign from
• 19:57
  Speaker 2: version two, so in fact, almost nothing stays the same.
• 20:05
  Speaker 2: So I really faced the choice of should we make
• 20:08
  Speaker 2: several thousand versions two optus robots when we know the
• 20:13
  Speaker 2: design can be much better, or should we pose to
• 20:19
  Speaker 2: verse three, which is much better? And you know, and
• 20:25
  Speaker 2: we're maybe have I don't know, a few hundred robots
• 20:29
  Speaker 2: instead of a few thousand robots by the end of
• 20:31
  Speaker 2: the year. And I think the right decision was to
• 20:35
  Speaker 2: go with version three and then scale production significantly next year.
• 20:43
  Speaker 2: Now it turns up the value of optimists. You really
• 20:50
  Speaker 2: need to think of the basic question of who who
• 20:54
  Speaker 2: wouldn't want their own possible C three po R two
• 20:59
  Speaker 2: D two. I think I think we're dealing with that.
• 21:02
  Speaker 2: I mean, let's ask the crowd. Would you guys like
• 21:04
  Speaker 2: you guys wanted optimistic? Yeah, yeah, exactly, very would be
• 21:11
  Speaker 2: very cool. And it would actually be, by the way,
• 21:17
  Speaker 2: much better than in functionality than three pot two, so
• 21:23
  Speaker 2: it would be super useful. So I think basically everyone
• 21:26
  Speaker 2: on Earth is gonna want one, and and then you're
• 21:30
  Speaker 2: gonna have a bunch of industry. So that's why I
• 21:35
  Speaker 2: think it's probably it's probably product because there's at least
• 21:43
  Speaker 2: a market for probably twenty billion these made based it
• 21:47
  Speaker 2: could be fifty billion. I don't know a line. So
• 21:57
  Speaker 2: you know, hypothetically, if Test was making a billion of
• 22:00
  Speaker 2: these here at scale, and at scale of the cost
• 22:05
  Speaker 2: gets lower and lower, So maybe like on the order
• 22:09
  Speaker 2: two thousand dollars I'm just guessing. And you know that's
• 22:16
  Speaker 2: that's thirty trillion in revenue.
• 22:19
  Speaker 4: Insane.
• 22:21
  Speaker 2: Uh, you know, that's a long long way to go
• 22:23
  Speaker 2: between here and making a billion provots here. Yeah, but
• 22:30
  Speaker 2: I do think something like that may happen.
• 22:34
  Speaker 3: Yeah, what would you say is Optimist is going to
• 22:39
  Speaker 3: have the biggest impact on Do you think it's going
• 22:42
  Speaker 3: to start obviously in manufacturing like or what not? Not
• 22:46
  Speaker 3: necessarily timeline, but like where do you see optimists having
• 22:49
  Speaker 3: the biggest impact?
• 22:58
  Speaker 2: Well, initially it would go to very high value your things.
• 23:02
  Speaker 2: So say somebody needs a lot of medical care some
• 23:09
  Speaker 2: some thing, so like if you know, I'll be like
• 23:15
  Speaker 2: a twenty four hour a day nurse or helper to
• 23:20
  Speaker 2: someone that is quarter politic or something like that, you know,
• 23:26
  Speaker 2: or something it just really it needs physical help. So
• 23:31
  Speaker 2: that's the kind of thing which would be life changing
• 23:35
  Speaker 2: for a lot of people. Those would be the highest
• 23:40
  Speaker 2: value initial use cases. There will also be use in
• 23:48
  Speaker 2: situations where it's, uh, the work is very dangerous so
• 23:56
  Speaker 2: or where there's a lot of repetitive tasks, But like
• 24:03
  Speaker 2: any any work that's that's that's risk spline or some
• 24:08
  Speaker 2: kind of injury would be a good initial use case
• 24:12
  Speaker 2: for Optimist.
• 24:16
  Speaker 6: When you look ahead in ten years, what's more transformative
• 24:19
  Speaker 6: full self driving or optimist.
• 24:24
  Speaker 2: Optimist?
• 24:28
  Speaker 4: It seems like that was an easy one.
• 24:32
  Speaker 2: You've well, and I do. It sounds like it's very
• 24:36
  Speaker 2: hard to do. So it's not like it just it's
• 24:42
  Speaker 2: so I think, yeah.
• 24:46
  Speaker 4: Yeah, I see you're drinking some good old diet coke.
• 24:49
  Speaker 4: By the way, shout out to those.
• 24:52
  Speaker 3: You've hinted that we may reach digital super intelligence this
• 24:56
  Speaker 3: year or next. How will we know that we've crossed
• 24:59
  Speaker 3: that line? And what does one of a G What
• 25:02
  Speaker 3: does day one of a G I really look like?
• 25:06
  Speaker 2: Well, I'm not sure it's like a a massive. It
• 25:11
  Speaker 2: may be less profound then I'd be some fun will
• 25:22
  Speaker 2: be less profound. They were like, hey, I have not
• 25:25
  Speaker 2: done yet is new technologies that are useful? So uh,
• 25:35
  Speaker 2: it hasn't hasn't discovered new business and it has not
• 25:39
  Speaker 2: invented technologies that are useful. But I think that is
• 25:42
  Speaker 2: something that that that that that will happen.
• 25:46
  Speaker 6: Yeah, m If Grock becomes smarter than any human, what
• 25:52
  Speaker 6: role do we play? Are we co pilots, overseers or
• 25:57
  Speaker 6: just legacy code?
• 26:00
  Speaker 2: Well, we weren't just wrong. Uh, there will be many
• 26:12
  Speaker 2: that there will be at least I think for major
• 26:16
  Speaker 2: y guys, maybe five just in the United States. And
• 26:26
  Speaker 2: so even if was not developed there would still be
• 26:30
  Speaker 2: digital superintelligence. And I've been fighting the yeah, putting quersonally
• 26:40
  Speaker 2: start driving hard on digital super intelligence for a long
• 26:43
  Speaker 2: time because I would if this is a double edged
• 26:47
  Speaker 2: order signal disord or what. But it became very obvious
• 26:52
  Speaker 2: after a while that this was going to happen, whether
• 26:56
  Speaker 2: I anticipated or not, so they fall I had a
• 27:01
  Speaker 2: choice of either be a spectator or a participant, but
• 27:06
  Speaker 2: that it was going to happen with or without me.
• 27:12
  Speaker 2: So then I think we'll rather be a participant than
• 27:16
  Speaker 2: a spectator, and I can focus on a I safety
• 27:22
  Speaker 2: which in my view, and I've thought about this a
• 27:26
  Speaker 2: long time, is that the most important thing for AI
• 27:31
  Speaker 2: sayet is to be maximally truth seeking, which means often
• 27:37
  Speaker 2: like saying things that are maybe politically incorrect but actually
• 27:42
  Speaker 2: actually correct, and also maybe there will be mistakes that
• 27:49
  Speaker 2: are made, then admitting the mistakes and taking correct taking
• 27:53
  Speaker 2: corrective action. And Croxel has a long way to go
• 27:59
  Speaker 2: to a true seeking But I think this is also
• 28:02
  Speaker 2: consistent with UH inventing new technologies, UH, you know, solving
• 28:10
  Speaker 2: medical problems. You know, you know, if you want to
• 28:14
  Speaker 2: if you want to cure cancer, you have to be
• 28:16
  Speaker 2: actually too CP to understand what the brickpos is for example.
• 28:22
  Speaker 2: So that's so I think that's actually very fundamental both
• 28:25
  Speaker 2: for safety and for useful notes. And yeah, so another
• 28:35
  Speaker 2: the economy of the future, I think it's going to
• 28:38
  Speaker 2: look uh, sort of quite different from where it is today.
• 28:47
  Speaker 2: And I am robotics in the good scenario, which we're
• 28:52
  Speaker 2: working towards here trying to ensure makes that we do
• 28:57
  Speaker 2: have the good scenario, there will be no shortage products
• 29:03
  Speaker 2: and services or anyone like basically anyone will be able
• 29:09
  Speaker 2: to have any product systems they want. That's the product
• 29:17
  Speaker 2: that he gains from a Robotics are just astounding to
• 29:22
  Speaker 2: think about it, Like I think, I think it could
• 29:26
  Speaker 2: increase decides the economy by a factor of ten or
• 29:30
  Speaker 2: more like, it will eliminate poverty, and it really will
• 29:40
  Speaker 2: be any situation where anyone can have anything they want.
• 29:46
  Speaker 2: The bigger challenge may be finding meaning in life. So
• 29:52
  Speaker 2: ifone can do anything that you can do, but maybe better,
• 29:57
  Speaker 2: how do you find meaning in life? That's that maybe
• 30:00
  Speaker 2: the biggest job.
• 30:03
  Speaker 3: When you think of the fact, you know, you mentioned
• 30:06
  Speaker 3: that you know you've been holding off on, you know,
• 30:09
  Speaker 3: really getting involved, whether it's you know, participating versus being
• 30:13
  Speaker 3: a spectator. And when you're thinking of the next couple
• 30:16
  Speaker 3: of years of like let's say, not necessarily catching up,
• 30:18
  Speaker 3: but just doubling down and really focusing on it, what
• 30:22
  Speaker 3: are going to be your biggest focus points?
• 30:27
  Speaker 2: Really, it's making it useful and making it safe for humanity,
• 30:35
  Speaker 2: and making love humanity especially I behave you know, you
• 30:40
  Speaker 2: want to to be useful friendly, So the most important things.
• 30:55
  Speaker 2: I've never seen any technology advanced as fast as AI. So,
• 31:02
  Speaker 2: and I've seen a lot of technologies advanced. Yeah, the
• 31:07
  Speaker 2: rate of I well, and maybe this is a discomforting metaphor,
• 31:13
  Speaker 2: but AI is a a supersonic tsunami.
• 31:21
  Speaker 4: Does not sound fun, But yeah, it sounds it.
• 31:23
  Speaker 2: Sounds a little scary in that way, but it's in
• 31:27
  Speaker 2: terms of maybe in terms of exceeding prior technologies, it's
• 31:34
  Speaker 2: like supersonic me. And you really do need to compare
• 31:39
  Speaker 2: AI with robotics.
• 31:45
  Speaker 3: Yeah, I think it's it's crazy just how much it's
• 31:48
  Speaker 3: advanced in just the past year two years, and and
• 31:51
  Speaker 3: seeing how kids are using it, looking at using Grock
• 31:54
  Speaker 3: four Grock voice the companions. Now, mhm, I think you've
• 32:00
  Speaker 3: answered this before, But what would what keeps you up
• 32:03
  Speaker 3: at night when you think of the future of AI
• 32:05
  Speaker 3: and now that you're doubling down and really just going
• 32:09
  Speaker 3: wartime mode right now on just tackling this these issues.
• 32:14
  Speaker 4: What is uh, what is something that keeps you up
• 32:16
  Speaker 4: at night?
• 32:31
  Speaker 2: Well? AI safety and making sure the AI is aligned
• 32:37
  Speaker 2: with humidity and ones too, fuster grow and better humanity
• 32:44
  Speaker 2: and yeah, basically we want to be like if you could,
• 32:48
  Speaker 2: if you look into a crystal ball now and see
• 32:50
  Speaker 2: the future, it used to be the future one and
• 32:55
  Speaker 2: so uh, I mean I have this kind of like
• 33:01
  Speaker 2: new term or the goal of test because the goal
• 33:09
  Speaker 2: TEST previously was accelerating the advancement of sustainable energy, just
• 33:16
  Speaker 2: like a very good goal. And then the reason I
• 33:19
  Speaker 2: pursued that rather than AI, because I could have pursued
• 33:21
  Speaker 2: from the beginning, was because I was confident that that
• 33:25
  Speaker 2: sustainable energy was a single edge store only like it
• 33:29
  Speaker 2: was only a good edge, you know, so we shure that, Okay,
• 33:32
  Speaker 2: we succeed in that, Like, okay, that's that's definitely good
• 33:37
  Speaker 2: stainable energy. My definition is great if you're a cleaner
• 33:42
  Speaker 2: air and you know, and I can run out of
• 33:46
  Speaker 2: whatever this closet fuel is, uh, with with combinations solar
• 33:50
  Speaker 2: batteries and electric cars, then that's like that's an equipment
• 33:55
  Speaker 2: good yah. Yeah for AI. Like I said this, it
• 34:03
  Speaker 2: is more of a double ed sword risk, but I
• 34:09
  Speaker 2: think it most likely will be good and most likely
• 34:12
  Speaker 2: will bring immense prosperity, and you know, it's gonna figure
• 34:17
  Speaker 2: out how to cure every disease and uh it's it's
• 34:24
  Speaker 2: probably gonna be awesome. But I think we need to
• 34:27
  Speaker 2: be careful and not complacent and and we've actually be
• 34:34
  Speaker 2: somewhat paranoid to make sure that we have the good
• 34:40
  Speaker 2: AI future not the bad AI future. So I mean
• 34:45
  Speaker 2: from front from a Tesla's box standpoint, I just start
• 34:50
  Speaker 2: with autonomous autonomous cars and especially with with optimises go
• 34:59
  Speaker 2: TWI to sort of crazy levels. I'd always recommend, like
• 35:03
  Speaker 2: looking at Kathy Would and Argus a balnsis there, they've
• 35:11
  Speaker 2: been right in the past, and I think they're right
• 35:15
  Speaker 2: this time and again with a lot of difficult execution.
• 35:21
  Speaker 2: I think there are people out there said, well, Tessa's
• 35:24
  Speaker 2: evaluation could be twenty five trillion, and I think that
• 35:31
  Speaker 2: that's probably correct. If we execute well on autonomous transport
• 35:38
  Speaker 2: and Optimus, it actually does get to a twenty to
• 35:42
  Speaker 2: thirty killion dollar evaluation. That's twenty to thirty times what
• 35:47
  Speaker 2: it is saying.
• 35:51
  Speaker 4: Everyone's cheering.
• 35:53
  Speaker 2: Yeah, yeah, the math is math is here. So it's
• 36:03
  Speaker 2: just it's just a massive amount of work. And but
• 36:09
  Speaker 2: but I but like, I think you can do that
• 36:11
  Speaker 2: massive amount of work. That's what happened, Kaylon.
• 36:22
  Speaker 6: Let's talk about neuralink. You've described neuralink in the past
• 36:26
  Speaker 6: as a way to solve the input output bottleneck between
• 36:31
  Speaker 6: humans and machines, right, h what's the long term vision?
• 36:36
  Speaker 6: Is neuralink a medical company or is it the first
• 36:38
  Speaker 6: step towards symbiosis with aika.
• 36:45
  Speaker 2: It's it's also as a medical technology, So neural links
• 36:51
  Speaker 2: initial goals are really true help people, uh who have
• 36:58
  Speaker 2: say quarter plea caetriplegic situation, they've lost the use of
• 37:02
  Speaker 2: their body, and to be able to enable them to
• 37:06
  Speaker 2: control their boner computer just by thinking. And I think
• 37:09
  Speaker 2: we make eight patients so far, and all eight love
• 37:15
  Speaker 2: the advice and are using it every day. So it's
• 37:21
  Speaker 2: it's helped a lot of people. And I think we're
• 37:24
  Speaker 2: test a team. The newerally team is aiming to do
• 37:26
  Speaker 2: about twenty patients by the end of the year, so
• 37:31
  Speaker 2: it's tolerating, and then next year we'll be doing the
• 37:35
  Speaker 2: blind site implement which will enable people who are completely blind,
• 37:41
  Speaker 2: like if they've lost both eyes and optic gove and
• 37:44
  Speaker 2: still be able to see they're facing directly with one fourteen.
• 37:51
  Speaker 2: So there's a lot of cool things like that. So
• 37:56
  Speaker 2: the folks essentially is fixing serious medical issues and prove
• 38:05
  Speaker 2: out the safety and efficacy, and then eventually at some
• 38:11
  Speaker 2: point you could get cybernetic announcements, so it could could
• 38:19
  Speaker 2: be something that massively augments intelligence and allows you to
• 38:28
  Speaker 2: communicate at ultra high speeds. So it it's very sci fi,
• 38:38
  Speaker 2: and you can get to the point where you could
• 38:42
  Speaker 2: upload your memories uh and and essentially have a staved
• 38:48
  Speaker 2: version of yourself. And then I'm speculating here, but but
• 38:54
  Speaker 2: but then maybe download that into uh a new on
• 39:01
  Speaker 2: a clothe body, either robot I'm really getting into sci
• 39:04
  Speaker 2: fi here, but but like I'll load that into a
• 39:07
  Speaker 2: robot body if you want, or a cloned version of
• 39:11
  Speaker 2: your original cell. You know that they certainly made sci
• 39:17
  Speaker 2: fi movies written books about this, so these are not
• 39:20
  Speaker 2: new ideas, but I do think stuff like that will
• 39:24
  Speaker 2: be possible, which would give you, I guess, a form
• 39:30
  Speaker 2: of or anybody wants it, a form of immortality. And
• 39:34
  Speaker 2: to be clear, I do think these things will be
• 39:36
  Speaker 2: available to anyone who wants to do it, So it's
• 39:41
  Speaker 2: not going to be sort of limited to a few
• 39:44
  Speaker 2: sort of you know, uh, elite out of a society,
• 39:48
  Speaker 2: and I think it will be available to anyone who
• 39:50
  Speaker 2: wants to.
• 39:54
  Speaker 3: It's crazy just to think, you know, with neuralink, Grock,
• 39:59
  Speaker 3: the Grock Opinion, and even the humanoid robot.
• 40:04
  Speaker 4: How do you do you see?
• 40:05
  Speaker 3: I mean, it just feels like more and more, whether
• 40:08
  Speaker 3: it's Grock, the Grow companion, and then neuralink. I know,
• 40:11
  Speaker 3: we did an interview with Brad, who is the third
• 40:14
  Speaker 3: patient who has als and he was also utilizing GROC.
• 40:19
  Speaker 2: Yeah, what do you what do you see?
• 40:22
  Speaker 3: Continuing to see that integration between let's say near Link
• 40:25
  Speaker 3: and even even Grock as things continue to grow, Yeah, Grow.
• 40:33
  Speaker 2: Will actually be able to understand those signals from you.
• 40:38
  Speaker 2: So the neural links take me to your brain and
• 40:41
  Speaker 2: then sending the signals to Grog and then actually understand
• 40:46
  Speaker 2: those signals at kind of like a binary level as
• 40:51
  Speaker 2: opposed to having to translate it. In words and so
• 40:55
  Speaker 2: greatly improve the efficiency with which you can use your
• 40:57
  Speaker 2: neural link device. Like it's so that, I mean, we're
• 41:06
  Speaker 2: really getting into some interesting philosophical questions or interesting questions,
• 41:13
  Speaker 2: like if you think about how much your mental see
• 41:18
  Speaker 2: your mind is used to take a complex thought or
• 41:23
  Speaker 2: image in your mind and translate that into words, and
• 41:28
  Speaker 2: it's and it's very lasting, because how can you really
• 41:32
  Speaker 2: pusworth words convey say the image that you have in
• 41:35
  Speaker 2: your mind. It's very difficult to do so. And and
• 41:39
  Speaker 2: if you're not, like if you're an artist, it's actually
• 41:42
  Speaker 2: very difficult to actually get the image from your mind
• 41:44
  Speaker 2: onto computer or paper. But the computer could do that.
• 41:51
  Speaker 2: You could say, okay, this is the image that you
• 41:53
  Speaker 2: want to produce, and we'll listen. Like there's a complex
• 41:58
  Speaker 2: series of concept that you want to convey to someone else,
• 42:04
  Speaker 2: and if both people have a new link, you'll be
• 42:07
  Speaker 2: able to convey a complex series of ideas, uncompressed in
• 42:16
  Speaker 2: their full form to someone else's mind, as opposed to
• 42:20
  Speaker 2: reducing complex concepts down to a few sentences and trying
• 42:27
  Speaker 2: to get someone else to hear what those sentences are,
• 42:31
  Speaker 2: decompress those sentences in their mind and try and try
• 42:35
  Speaker 2: to understand the concepts that are in your mind. So
• 42:39
  Speaker 2: this is why I call it conceptual telepathy. So this
• 42:45
  Speaker 2: would greatly improve communication and understanding between humans.
• 42:53
  Speaker 3: You've mentioned restoring vision and mobility, but the idea of
• 42:58
  Speaker 3: writing to the brain too.
• 43:00
  Speaker 2: Sorry. So it's like, basically, if there's if there's any
• 43:05
  Speaker 2: sense or brain injury, and principle that sensory function or
• 43:13
  Speaker 2: that brain injury can be sold with a neural link.
• 43:18
  Speaker 2: So that includes uh, carring side smell o people, but
• 43:26
  Speaker 2: not people lost their sense of smell, but feeling. It
• 43:31
  Speaker 2: could be like if somebody hasn't stroke and they've lost
• 43:36
  Speaker 2: the ability to move that arm, a neural link could
• 43:40
  Speaker 2: restore that ability. It's it's really a very powerful general
• 43:48
  Speaker 2: purpose input output device that can address, you know, over time,
• 43:56
  Speaker 2: any brain or a logo issue. So having seizures, it
• 44:06
  Speaker 2: could actually stop the seizures. It could I think probably
• 44:11
  Speaker 2: fixed schizoprenia. Like it's like a lot of there's a
• 44:17
  Speaker 2: lot of things that could like in principle, can fix
• 44:19
  Speaker 2: basically anything that's to do with the brain or neurons
• 44:25
  Speaker 2: or your senses.
• 44:27
  Speaker 3: Is there anything that would be like, is there a
• 44:31
  Speaker 3: most difficult problem to solve in that space then, because
• 44:35
  Speaker 3: technically a lot of it could be solved. Is there
• 44:38
  Speaker 3: something that would maybe you would see bigger blockers on
• 44:41
  Speaker 3: trying to solve As far as fixing those problems.
• 44:49
  Speaker 2: I'm not aware blockers right now. It's just that when
• 44:54
  Speaker 2: you're putting devices and humans, yeah, very capital and to
• 44:58
  Speaker 2: make sure that uh, no damage is done and is
• 45:04
  Speaker 2: the implant works and without any negative side effects and
• 45:10
  Speaker 2: so far uh you know, knock on wood, we're betting
• 45:15
  Speaker 2: the house here and and and yeah, well patients of
• 45:20
  Speaker 2: the devices of work and there no meaningful side effect.
• 45:27
  Speaker 2: So that's it's it's really just yeah, it's pretty cool,
• 45:32
  Speaker 2: but it's just in order to be saved that does
• 45:35
  Speaker 2: low us down. And of course we we interact c
• 45:41
  Speaker 2: culosely with the with the d A and for for
• 45:45
  Speaker 2: approvals and stuff. So it's it's not just uh yeah
• 45:48
  Speaker 2: we were like vacuum here, it's it's with regula from
• 45:54
  Speaker 2: the f t A so uh. And and then you
• 45:59
  Speaker 2: do need different fairvariance of neural link device for solving
• 46:04
  Speaker 2: different things. So for example, for uh for the lethopy product,
• 46:11
  Speaker 2: just what we have in the eight patients so far
• 46:15
  Speaker 2: that interfaces with the motor cortex in the brain. So
• 46:19
  Speaker 2: it's like like literally it's someone will think about gibbing
• 46:22
  Speaker 2: their hand, neural link device will read that signal in
• 46:27
  Speaker 2: the motor cortex and then move the mouse on you
• 46:30
  Speaker 2: on their computer. And then for site it's a different
• 46:36
  Speaker 2: thing because you've got to stimulate the visual cortex, and
• 46:41
  Speaker 2: the visual cortex is in a different location and it's
• 46:45
  Speaker 2: it's a little deeper, so you've got so you've got
• 46:47
  Speaker 2: to put the electrodes a little bit deep, deeper to
• 46:50
  Speaker 2: reach the visual cortex. And in this case, it's it's
• 46:55
  Speaker 2: a it's not reading, it's writing. It's it's effectively writing
• 47:00
  Speaker 2: pixel to the visual cortex. This is something we've had
• 47:06
  Speaker 2: working in monkeys for about three years now. In fact,
• 47:11
  Speaker 2: one of our monkeys has both a telepathy implant and
• 47:15
  Speaker 2: a blind side implant and he's a very happy monkey.
• 47:21
  Speaker 2: I do want to emphasize we take uh great care
• 47:26
  Speaker 2: of our animals. This is a really big deal because
• 47:32
  Speaker 2: I've always said, like, imagine if we were in that position, well,
• 47:37
  Speaker 2: let's just do all the things that if that if
• 47:39
  Speaker 2: we're in that position, we do. And the USA inspector
• 47:46
  Speaker 2: that came by to check out opportunities. She said, in
• 47:49
  Speaker 2: her entire career career, she's never seen a nicer monkey
• 47:53
  Speaker 2: enclosure ever. And let me tell you, monkeys love for
• 48:02
  Speaker 2: the lefty implant. Monkeys are just like us. They love
• 48:07
  Speaker 2: playing video games and eating snacks. So if if you look,
• 48:14
  Speaker 2: if you look at that video of Pageer, I g.
• 48:17
  Speaker 2: It's like four years old. Now you see, he's just
• 48:19
  Speaker 2: he's just sitting on a branch, uh, sipping a banana
• 48:24
  Speaker 2: smoothie which he gets every time he spoils. He gets
• 48:28
  Speaker 2: a snip of a smoothie, and he's not being held
• 48:32
  Speaker 2: down like he likes playing the game. So just really
• 48:39
  Speaker 2: just like humans, like Mike, snacks and video games. Yes,
• 48:43
  Speaker 2: the same thing.
• 48:45
  Speaker 3: One question I have, how does like building a humanoid
• 48:49
  Speaker 3: robot and neuralink intersect if at all?
• 48:52
  Speaker 4: I mean, what are the learnings from that? Is there
• 48:55
  Speaker 4: any overlap?
• 48:58
  Speaker 2: Yeah? Well, I've just building a human robot has really
• 49:07
  Speaker 2: made me think a lot about how the human body works.
• 49:12
  Speaker 2: You gain your appreciation for actually just how awesome that
• 49:18
  Speaker 2: design the human body is. Now literally you know, I
• 49:22
  Speaker 2: think some parts of the human body could be better,
• 49:25
  Speaker 2: like the spine, Like why do we have storage back pain,
• 49:30
  Speaker 2: it's very annoying.
• 49:33
  Speaker 4: Maybe don't fight sumo wrestlers, man.
• 49:36
  Speaker 2: Yeah, seriously, Doug going great, but you know, yeah, typically
• 49:43
  Speaker 2: you know, everyone has back pain at some point in
• 49:45
  Speaker 2: their life, which is also the thing your link consult,
• 49:49
  Speaker 2: so that'd be cool too. But no, your optimists really
• 49:55
  Speaker 2: made me think a lot about how our hands work,
• 50:00
  Speaker 2: how we balance, how we do different things. But maybe
• 50:05
  Speaker 2: more than anything, just how incredible our hands are. There.
• 50:12
  Speaker 2: It's like, wow, things that our hands do, like the
• 50:17
  Speaker 2: hands postumus are half or more than half of the
• 50:22
  Speaker 2: electro mechanical problem, and the entire rest of the bodies
• 50:27
  Speaker 2: is a half. Wow.
• 50:30
  Speaker 4: That's crazy.
• 50:33
  Speaker 2: Yeah. And and it's like, honestly, you look at your hands,
• 50:36
  Speaker 2: you're like any movement and if you can, if you
• 50:39
  Speaker 2: feel your forearm, like the almost all the muscles that
• 50:43
  Speaker 2: control your hand are actually in your forearm and and
• 50:48
  Speaker 2: and and they're pulling your fingers like like puppets. So yeah,
• 50:54
  Speaker 2: there's only a small number of muscles that are in
• 50:57
  Speaker 2: that in your hand itself. Your hand is a controlled
• 51:00
  Speaker 2: through tendant that go either or among your pupple tunnel,
• 51:07
  Speaker 2: and Johanna is being operated like marrying it from the Foreman. Yeah.
• 51:14
  Speaker 4: One thing that's crazy.
• 51:15
  Speaker 2: I just.
• 51:18
  Speaker 3: Yeah, I mean it's crazy how much the human body,
• 51:21
  Speaker 3: whether it's like you know, Tesla vision going you know,
• 51:24
  Speaker 3: just trying to see what kind of like similar to
• 51:26
  Speaker 3: how humans view the world, right and getting rid of
• 51:30
  Speaker 3: the radar, and then same thing with the humanoid robot
• 51:34
  Speaker 3: and just you know, thinking and seeing how the human
• 51:38
  Speaker 3: body works. Is there anything more specifically even within the
• 51:44
  Speaker 3: human body that will continue to infer whether it's the
• 51:46
  Speaker 3: humanoid robot And it sounds like obviously the hand is
• 51:50
  Speaker 3: the big one of the biggest problems.
• 51:52
  Speaker 4: Yeah, but are there other parts of the body too
• 51:55
  Speaker 4: that that would.
• 51:58
  Speaker 3: Continue to help infer other parts the humanoid robot or
• 52:01
  Speaker 3: again it's just yeah, with Tesla vision and eyesight.
• 52:09
  Speaker 2: Well, with Optimists, we're able to re use the autopilot commuter.
• 52:15
  Speaker 2: So Optimists is uh intelligence power by the apho h
• 52:23
  Speaker 2: same computer that controls the car and you know, a
• 52:28
  Speaker 2: small battery back that's unlikes the car battery back, So
• 52:32
  Speaker 2: there's a lot of carris with the car okay uh.
• 52:36
  Speaker 2: And then the AI that's in the car is as
• 52:41
  Speaker 2: similar to the AI that will be an Optimist running
• 52:45
  Speaker 2: into the a I fo hardware and then a have
• 52:48
  Speaker 2: hardware when that's ready.
• 52:51
  Speaker 8: So there's a lot of pels, but the limiting factor
• 53:02
  Speaker 8: is the hand.
• 53:05
  Speaker 2: Yeah, but I'm against that. Optimism will be the biggest
• 53:20
  Speaker 2: product ever. Yeah, and then of course Autonomy is starting
• 53:31
  Speaker 2: to roll out Karlin, but will be in many cities
• 53:39
  Speaker 2: and throughout the United States later this year and hopefully
• 53:44
  Speaker 2: many countriesanks year. Yeah.
• 53:50
  Speaker 3: Here in the Bay Area, we have a bunch of fomo.
• 53:53
  Speaker 3: Everyone's looking at Austin right now. I can tell you
• 53:56
  Speaker 3: I always whenever I opened that ROBOTAXI app. Man, it
• 54:00
  Speaker 3: just the geo fence, just the figurine is insane.
• 54:05
  Speaker 2: That's funny. I mean, you're gonna have some fun. Yeah,
• 54:11
  Speaker 2: don't take yourself too seriously type of thing.
• 54:20
  Speaker 6: Let's switch and talk about X. You've called X and
• 54:24
  Speaker 6: here we are at X Takeover. You've called everything app.
• 54:27
  Speaker 6: But it's still in a transitional phase. What exactly do
• 54:30
  Speaker 6: you want to be in five years?
• 54:40
  Speaker 2: I mean, is definitely improving. It's it's evolved a lot
• 54:43
  Speaker 2: from Twitter. You only have like, you know, short text
• 54:50
  Speaker 2: tweets and like two minute videos to the point where
• 54:54
  Speaker 2: now you can have like more hour videos and you
• 54:57
  Speaker 2: can write a novel if you want on a system.
• 55:02
  Speaker 2: So it's it's gone through a fully multimodal from long
• 55:07
  Speaker 2: videos to long text anything in between. And we're currently
• 55:13
  Speaker 2: really improving the DM system. So the new system called
• 55:18
  Speaker 2: x chat, which audio video calling. It's all fully encrypted
• 55:24
  Speaker 2: period peer style like bitpoint. And that's the test is
• 55:29
  Speaker 2: that even if somebody uh puts the gun to my head,
• 55:34
  Speaker 2: I still can't read your messages. That's the test. So
• 55:39
  Speaker 2: it's like very secure and and and also like you
• 55:44
  Speaker 2: calling and and and video with it. And then there's
• 55:48
  Speaker 2: the kind of X money or expance release, which is
• 55:54
  Speaker 2: hope hopefully only a few months away we actually have
• 55:59
  Speaker 2: it operating, invade it within the company, and that that
• 56:04
  Speaker 2: will be a major factor. So been excess as much
• 56:12
  Speaker 2: as possible, ensuring freedom, like freedom of speech within the
• 56:19
  Speaker 2: as much as we can within the bounced flow. And
• 56:25
  Speaker 2: you know, also like aspiration trying to reach for the
• 56:30
  Speaker 2: truth of things, like you see that in community notes,
• 56:34
  Speaker 2: where community notes will correct someone, even if they're very powerful.
• 56:39
  Speaker 2: Community community notes will correct me. It will correct president CEOs,
• 56:45
  Speaker 2: even major advertisers, and even if that costs money. So
• 56:51
  Speaker 2: I think it's generally there's a lot of good things
• 56:54
  Speaker 2: that have happened. We're trying to the algorithm, which we
• 57:00
  Speaker 2: know it kind of sucks right now, Sorry about that.
• 57:07
  Speaker 2: I actually enjoy it, but okay, okay, good.
• 57:09
  Speaker 3: Well, some days are crazier than others, like when the
• 57:15
  Speaker 3: geofens expanded and some of these other things.
• 57:17
  Speaker 4: But yeah, no, I don't know. If you have any opinions,
• 57:21
  Speaker 4: tell them.
• 57:22
  Speaker 2: I'm sorry your voice was a bit lower. I couldn't
• 57:24
  Speaker 2: be a question.
• 57:25
  Speaker 4: Oh, I was saying.
• 57:25
  Speaker 3: The algorithm can be crazy some days, especially like when
• 57:28
  Speaker 3: the robo taxi geofens expanded.
• 57:31
  Speaker 2: Yeah, yeah, yeah, they have anther watching. Goal of the
• 57:37
  Speaker 2: algorithm is trying to show people information they would find
• 57:42
  Speaker 2: most interesting. But right now it'll show you too much
• 57:47
  Speaker 2: of one thing. Yes, if the sort of interesting thing
• 57:53
  Speaker 2: of the day is right now, the ext algorithm will
• 57:55
  Speaker 2: show you too much of that, and it's like, okay,
• 57:57
  Speaker 2: I don't need to see it twenty times, you know, Yeah,
• 58:04
  Speaker 2: I think I think I've seen, like the studies we
• 58:07
  Speaker 2: need jeans thing about four hundred times this long, and
• 58:11
  Speaker 2: it's like, okay, the first few times was good, but
• 58:14
  Speaker 2: we shouldn't show things like one hundred times because because
• 58:19
  Speaker 2: you want to hear paims so exs making study progress
• 58:26
  Speaker 2: being offering. Yeah, pretty much checking you'd want to do.
• 58:33
  Speaker 2: And yeah, I feel good about where it's head.
• 58:40
  Speaker 3: Payments were we've all I know, we're waiting on that
• 58:43
  Speaker 3: and just you know, thinking about even PayPal too. It's
• 58:47
  Speaker 3: crazy just what Fate loves Irony doing x dot com
• 58:51
  Speaker 3: back in what the late nineties and then full force
• 58:55
  Speaker 3: buying it, you know, years back, and now now you're
• 58:59
  Speaker 3: doing payments again.
• 59:02
  Speaker 2: Yeah, it's a sort of poetic and or or returning
• 59:10
  Speaker 2: to something that we're sort of unfinished with PayPal and
• 59:15
  Speaker 2: completing the product. One.
• 59:20
  Speaker 6: What role do you think rock and x AI play
• 59:23
  Speaker 6: in the future of x Is it just a feature,
• 59:26
  Speaker 6: a core intelligence layer or does that change how people
• 59:29
  Speaker 6: experience the platform?
• 59:33
  Speaker 2: Yeah, grow I think it's pretty helpful because that that
• 59:37
  Speaker 2: grock button. But you can press about any given posts
• 59:41
  Speaker 2: on the system, and it's analysis of the post. It's
• 59:45
  Speaker 2: usually quite accurate. It isn't bad a thousand, but it's
• 59:50
  Speaker 2: really gives you keep your insight into any given piece
• 59:53
  Speaker 2: of information that somebody posts on the system. You can
• 59:57
  Speaker 2: figure out what context U helps you figure out if
• 1:00:00
  Speaker 2: it's true or not. And we actually just added Crock
• 1:00:06
  Speaker 2: role advertising on the system, so you can you can
• 1:00:10
  Speaker 2: press the Crock button and see this ad. Does this
• 1:00:15
  Speaker 2: product can work? Or is it? Uh? Is this productal
• 1:00:18
  Speaker 2: legit or not? Which I kind of always wanted to
• 1:00:21
  Speaker 2: hap on ads. You know, it's like, this thing really work?
• 1:00:25
  Speaker 2: That's what I want to ask a lot of ads,
• 1:00:27
  Speaker 2: And now on the X system you can ask this
• 1:00:30
  Speaker 2: thing really works? I guess advertisings were Grock says it
• 1:00:34
  Speaker 2: doesn't really work. I'm probably not going to advertise very long.
• 1:00:39
  Speaker 2: Maybe it'll encourage better honesty and advertising, which I think
• 1:00:43
  Speaker 2: is a good thing. But we're just generally trying to
• 1:00:52
  Speaker 2: make excess system that you can trust more than any
• 1:00:54
  Speaker 2: othersism and I think I think it is there already.
• 1:00:59
  Speaker 2: It's just not say that X is perfect. It's definitely mistakes.
• 1:01:04
  Speaker 2: But is there any social media company you trust more
• 1:01:08
  Speaker 2: than X? No? Nope. So it's like I'm not trusting
• 1:01:15
  Speaker 2: Page Book, you know. So I'm not to pick on Facebook,
• 1:01:22
  Speaker 2: but you know, I think it's actually probably fair to
• 1:01:28
  Speaker 2: to day that X is the most trustworthy or least
• 1:01:32
  Speaker 2: untrustworthy of social networks.
• 1:01:35
  Speaker 3: Yeah, I think that became very apparent just when you saw,
• 1:01:40
  Speaker 3: like when you just compare of like the news during
• 1:01:43
  Speaker 3: COVID and things being censored. Yeah, and you know, just
• 1:01:47
  Speaker 3: you come to X and you can find out what's
• 1:01:49
  Speaker 3: really happening. Yeah, and it's real time. It's really like
• 1:01:53
  Speaker 3: the I would say, the you know, the world's discourse
• 1:01:56
  Speaker 3: in town Square, Right. It can sometimes be a fistfight,
• 1:01:59
  Speaker 3: if like, but at the same time, it's just you know,
• 1:02:03
  Speaker 3: where you can find out what's really going.
• 1:02:05
  Speaker 2: On, right, And that's the goal, and I do want size.
• 1:02:09
  Speaker 2: Obviously there's a long way to go. It's far from perfect,
• 1:02:15
  Speaker 2: but I do think it's getting better over time. And yeah,
• 1:02:18
  Speaker 2: sometimes two steps toward, one step back. But the trend
• 1:02:23
  Speaker 2: of a time I think is very good for X
• 1:02:26
  Speaker 2: being the place where you can figure out what's really
• 1:02:29
  Speaker 2: going on in the world, to get to the truth,
• 1:02:32
  Speaker 2: and you can ask Rock more. You go to learn
• 1:02:36
  Speaker 2: a lot of things, so you can ask if there's
• 1:02:39
  Speaker 2: a new thing that's invented or announced, you can ask
• 1:02:44
  Speaker 2: Rock on the system more about it and instantly educate yourself.
• 1:02:51
  Speaker 4: Yeah, I don't think I've been.
• 1:02:52
  Speaker 2: And then we monitor when GROC gets things wrong, and
• 1:02:56
  Speaker 2: then we feed that, we feed that back into the
• 1:02:58
  Speaker 2: system to make it aspirational less wrong over time.
• 1:03:11
  Speaker 3: Yeah, it's really just crazy to think. You know, when
• 1:03:14
  Speaker 3: you talk to GROC and you can ask it for
• 1:03:17
  Speaker 3: just things that in your timeline, Hey make a post
• 1:03:19
  Speaker 3: sound like me on this topic or you want it's
• 1:03:22
  Speaker 3: pretty fun.
• 1:03:23
  Speaker 2: Yeah, like we already actually aiming for GROCK to be
• 1:03:25
  Speaker 2: the actually interesting. Two gold are for GROCK to be
• 1:03:29
  Speaker 2: the most true seeking AI, but also the funniest AI,
• 1:03:35
  Speaker 2: because you've gotta have some fun in life, and you know, uh,
• 1:03:38
  Speaker 2: laughter is the best medicine you gotta you gotta have
• 1:03:42
  Speaker 2: some fun.
• 1:03:52
  Speaker 3: Y elon, you've predicted a world of abundant energy, robotic
• 1:03:57
  Speaker 3: labor and a g I uh with AI and optimists
• 1:04:02
  Speaker 3: doing you know, potentially a lot of things and reducing
• 1:04:06
  Speaker 3: the amount of things that we're doing today. What do
• 1:04:08
  Speaker 3: you think is left for humans? And really what does
• 1:04:12
  Speaker 3: that mean for in the world of artificial superintelligence?
• 1:04:18
  Speaker 2: Yeah, that's inesting I struggle with. Actually, this is part
• 1:04:27
  Speaker 2: of the reasons for your line, which is two improve
• 1:04:35
  Speaker 2: the band communication with AI so to help achieve a
• 1:04:40
  Speaker 2: better human AI smiosis so that you know, AI knows
• 1:04:45
  Speaker 2: what we want and it can respond to collective human
• 1:04:50
  Speaker 2: will and I think things like you really can actually
• 1:04:56
  Speaker 2: effectively dramatically increased our intelligence. But I think the cuture
• 1:05:08
  Speaker 2: is very much one where human intelligence, machine intelligence, and
• 1:05:12
  Speaker 2: robots are interwoven. I think said, I think it's eighty
• 1:05:20
  Speaker 2: maybe ninety percent likely to be awesome, but we've got
• 1:05:24
  Speaker 2: to be quocious about that, you know, ten percent maybe
• 1:05:27
  Speaker 2: not asome situation like Terminator. Yeah, I mean seriously, that's
• 1:05:34
  Speaker 2: you know, stuff like that would be that.
• 1:05:40
  Speaker 6: What's your vision for a society where human effort is
• 1:05:43
  Speaker 6: no longer required for survival or productivity? How do we
• 1:05:47
  Speaker 6: avoid irrelevance?
• 1:05:50
  Speaker 2: Right? I think the central question, well, if you are
• 1:06:04
  Speaker 2: symbiotic with AI, where we there's this essentially a human
• 1:06:13
  Speaker 2: machine intelligence, then we may be able to address the
• 1:06:18
  Speaker 2: relevance question. You know, like, let's say you uh ride
• 1:06:24
  Speaker 2: a bicycle or a motorcycle or a car. You're you're
• 1:06:28
  Speaker 2: a super human and what you're able to do. You
• 1:06:31
  Speaker 2: can now travel faster than any human with legs. I mean,
• 1:06:36
  Speaker 2: if you're a car, you can go faster faster than
• 1:06:39
  Speaker 2: the fastest human.
• 1:06:40
  Speaker 3: Ever.
• 1:06:44
  Speaker 2: Does that make funning irrelevant? I mean you'll still run
• 1:06:49
  Speaker 2: and race against each other. So but but you've got
• 1:06:55
  Speaker 2: to humans working with machines. I mean they actually had
• 1:07:00
  Speaker 2: these kind of debates when the Zeam engine came along,
• 1:07:04
  Speaker 2: and then the trouble It's like, well, because people drive
• 1:07:09
  Speaker 2: a lot of their value from saying that they can
• 1:07:14
  Speaker 2: do manual cast the machine, and then the machine got.
• 1:07:20
  Speaker 4: So.
• 1:07:24
  Speaker 2: But this is a philosophical question that I struggle with,
• 1:07:29
  Speaker 2: and the best thing I came up with is that
• 1:07:32
  Speaker 2: you have inter open human machine intelligence and UH got
• 1:07:38
  Speaker 2: something like your link to open in human intelligence and
• 1:07:42
  Speaker 2: improve the symbiosis with AI that that we effectively become
• 1:07:51
  Speaker 2: maybe one with the ail.
• 1:07:58
  Speaker 3: You are sorry, the audience was about to clap and
• 1:08:01
  Speaker 3: I start talking, but elon you. You know you're you're
• 1:08:07
  Speaker 3: solving uh. I guess in a lot of ways is
• 1:08:10
  Speaker 3: sometimes you say you know a lot of problems, and
• 1:08:13
  Speaker 3: in a lot of ways you're creating a very exciting
• 1:08:16
  Speaker 3: future with reusable rockets, the mission to Mars with Starship,
• 1:08:20
  Speaker 3: with the humanoid robots, and how it's gonna just the
• 1:08:24
  Speaker 3: impact that.
• 1:08:24
  Speaker 4: It'll have and near Link and seeing the impact on
• 1:08:29
  Speaker 4: Nolan and Brad.
• 1:08:31
  Speaker 3: What what gives you hope for today, not just for
• 1:08:36
  Speaker 3: humanity and civilization but personally.
• 1:08:43
  Speaker 2: Well, I think the future is going to be very
• 1:08:46
  Speaker 2: interesting and exciting, and and I guess I think what
• 1:08:58
  Speaker 2: I want to be at any other point in human history?
• 1:09:04
  Speaker 2: Is there some other point in human history that that
• 1:09:07
  Speaker 2: is more interesting than where we are today? And I
• 1:09:10
  Speaker 2: think that's there's no at least for me. I think
• 1:09:13
  Speaker 2: we're the most interesting part of human ditty, and it's
• 1:09:18
  Speaker 2: getting more interesting with each passing mode. And so that's okay. Well,
• 1:09:27
  Speaker 2: if I'm in, if I'm in the auto history, that
• 1:09:31
  Speaker 2: that is the most interesting, then I think, you know,
• 1:09:35
  Speaker 2: anyone feels that way, and I think a lot of
• 1:09:38
  Speaker 2: people feel that way. That we should feel very lucky
• 1:09:42
  Speaker 2: to be alive at this time to see these amazing
• 1:09:46
  Speaker 2: things happen.
• 1:09:55
  Speaker 4: Well, Elon, we wanted to do a time check.
• 1:09:58
  Speaker 2: But also I better get back to my eight jobs.
• 1:10:02
  Speaker 4: Yeah exactly, you're not a busy man at all.
• 1:10:06
  Speaker 3: But we just Kelvin and I we just want to
• 1:10:09
  Speaker 3: on behalf of test owners of Silicon Valley, test Owners
• 1:10:13
  Speaker 3: Austria sand Looking Valley and really just all the fifteen
• 1:10:18
  Speaker 3: hundred people that traveled.
• 1:10:19
  Speaker 4: From all over the world.
• 1:10:20
  Speaker 3: We just want to personally just say thank you for
• 1:10:23
  Speaker 3: all you're doing and thank you for continuing to push
• 1:10:27
  Speaker 3: humanity forward.
• 1:10:29
  Speaker 2: Well, thank you.
• 1:10:32
  Speaker 4: Yeah, you have a whole bunch of people here just cheering.
• 1:10:35
  Speaker 4: So thank you for all you're doing.
• 1:10:38
  Speaker 2: Thank you well, and and thank you for your support
• 1:10:42
  Speaker 2: over the years. I super appreciate it. And I would
• 1:10:49
  Speaker 2: say my heart goes out to you, but I have
• 1:10:50
  Speaker 2: to watch my.
• 1:10:53
  Speaker 4: We know what you mean.
• 1:10:56
  Speaker 2: I can only point straight ahead or straight up. Hey,
• 1:11:03
  Speaker 2: so we want but anyway, and thank you all for
• 1:11:08
  Speaker 2: your sport over the years.
• 1:11:09
  Speaker 4: Yeah, and we just had one thing that we wanted
• 1:11:12
  Speaker 4: to present to you.
• 1:11:14
  Speaker 7: Okay, how's it going, Elon so On behalf of ts
• 1:11:25
  Speaker 7: T O SV and uh the presenting sponsors Haha. Yes,
• 1:11:33
  Speaker 7: we we wanted to present something to you that was symbolic,
• 1:11:37
  Speaker 7: meaningful and really, you know, these last few months have
• 1:11:42
  Speaker 7: obviously been quite tumultuous for you, and so we really
• 1:11:46
  Speaker 7: got creative and really, uh yeah, we wanted to create
• 1:11:50
  Speaker 7: you something special, and so I'm going to read you
• 1:11:53
  Speaker 7: something basically. You know, Elon, you brought electric cars back
• 1:11:57
  Speaker 7: from the dead, you made clean energy cool, you made
• 1:12:01
  Speaker 7: rockets reusable, You're going to take us to Mars. You
• 1:12:05
  Speaker 7: spent billions to buy Twitter and save free speech. You
• 1:12:10
  Speaker 7: stopped running your empire to work for the US government
• 1:12:13
  Speaker 7: for free, to reduce wasteful spending, to save the country
• 1:12:17
  Speaker 7: from bankruptcy.
• 1:12:18
  Speaker 2: Right, and I took a few rs for that one.
• 1:12:21
  Speaker 4: Clear, and and and and how and how were you thinked?
• 1:12:27
  Speaker 7: It's like you were betrayed. You were you were mocked,
• 1:12:31
  Speaker 7: attacked by the very people who once cheered you on
• 1:12:36
  Speaker 7: your name, dragged through the mud, your cars vandalized, your
• 1:12:39
  Speaker 7: motives questioned. But that's not the full story, as I
• 1:12:43
  Speaker 7: imagine many here what a test. So there are millions
• 1:12:47
  Speaker 7: of people who see you for who you are, people
• 1:12:52
  Speaker 7: whose lives you've touched and changed, people who believe in
• 1:12:55
  Speaker 7: what you're building, people who love you and have your back.
• 1:12:59
  Speaker 2: Thank you, so yeah, thank you,