Latest / Elon Musk Thinking / Elon Musk Latest Interview, Talked About The Freedom of Speech!!!

Transcript

Elon Musk Latest Interview, Talked About The Freedom of Speech!!! · Elon Musk Thinking

0:01
Speaker 1: It's it's it's pretty natty there.
0:03
Speaker 2: There is like this weird movement to quell's free speech, uh,
0:08
Speaker 2: kind of around the world, and and there's something we
0:11
Speaker 2: should be very concerned about.
0:13
Speaker 1: Uh.
0:14
Speaker 2: You know, you have to ask, like why was the
0:16
Speaker 2: First Amendment like a high priority?
0:19
Speaker 1: It was like number one.
0:21
Speaker 2: It is because people came from countries where if you
0:26
Speaker 2: spoke freely you would be imprisoned or killed. And they
0:29
Speaker 2: were like, well, we'd like to not have that here
0:33
Speaker 2: because that was terrible. And and actually, you know, there's
0:37
Speaker 2: a lot of places in the world right now if
0:39
Speaker 2: you if you're critical of the government, you get in
0:44
Speaker 2: prisoner or killed, right, We'd like to not have that.
0:48
Speaker 2: And I mean, I suspect this is a receptive audience
0:54
Speaker 2: to that message.
1:01
Speaker 3: You know.
1:02
Speaker 4: I think we always thought that the West was the
1:05
Speaker 4: exception to that. That we knew there were authoritary places
1:08
Speaker 4: around the world, but we thought that in the West
1:09
Speaker 4: we'd have freedom of speech. And we've seen, like you said,
1:12
Speaker 4: it seems like a global movement. In Britain, You've got
1:16
Speaker 4: teenager has been put in prison for memes.
1:20
Speaker 1: It's like you like to you like a Facebook post,
1:23
Speaker 1: throw them in prison.
1:24
Speaker 2: Yeah, people have got an actual you know, prison for
1:29
Speaker 2: for like like obscure comments on social media, not even
1:33
Speaker 2: ship posting it, like not even I'm like that truck
1:40
Speaker 2: about that.
1:40
Speaker 1: I was like, what is the massive crime that.
1:45
Speaker 4: Pavel in France? And then of course we got Brazil
1:47
Speaker 4: with Judge Voldemort. That that one seems like the one
1:51
Speaker 4: that impacts you the most. Can you what's the latest
1:54
Speaker 4: on that?
1:59
Speaker 5: Well?
1:59
Speaker 2: We, I guess we are trying to figure out is
2:03
Speaker 2: there some reasonable solution in Brazil?
2:07
Speaker 1: Uh?
2:07
Speaker 2: The you know, the concern, I mean, I want to
2:11
Speaker 2: just make sure that this is framed correctly, and uh,
2:16
Speaker 2: you know, funny means aside the the nature of the
2:20
Speaker 2: concern was that, at least at export, we had the
2:24
Speaker 2: perception that we were being asked to do things that
2:29
Speaker 2: violated Brazilian law. So obviously we cannot, as an American
2:34
Speaker 2: company impose American laws and values on other countries that
2:41
Speaker 2: you know, we wouldn't get very far if we did that.
2:44
Speaker 2: But but we do. You know, I think that if
2:48
Speaker 2: a country's law laws are a particular way and we're
2:51
Speaker 2: being asked to what we we we think we're being
2:53
Speaker 2: asked to.
2:54
Speaker 1: Break them, then and be silent about.
2:57
Speaker 2: It then obviously that is no good. So so I
3:00
Speaker 2: just want to be clear because the sometimes sometimes comes
3:03
Speaker 2: across as Elon's trying to just be a crazy whatever
3:08
Speaker 2: billionaire and demand outrageous things from other countries, and.
3:16
Speaker 1: You know, well that is true. In addition, there are other.
3:26
Speaker 2: Things uh that that I think are you know, valid,
3:30
Speaker 2: which is like we we we obviously I can't uh
3:35
Speaker 2: you know, I think any given thing that we do
3:37
Speaker 2: at ex Corp, We've got to be able to explain
3:39
Speaker 2: in the light of day and and not feel that
3:42
Speaker 2: it was dishonorable or you know, we we we did
3:46
Speaker 2: the wrong.
3:47
Speaker 1: Thing, you know.
3:48
Speaker 2: Uh so we don't we that that that that was
3:51
Speaker 2: the that's the nature of the concern. So we actually
3:55
Speaker 2: are in uh sort of discussions with the you know,
4:00
Speaker 2: judicial authorities in Brazil to try to you know, run
4:05
Speaker 2: this to ground, like uh, what's actually going on. Like
4:10
Speaker 2: if we're being asked to break the law, Brazilian law,
4:14
Speaker 2: then that's that that obviously should not be should not
4:16
Speaker 2: sit well with the resilient judiciary. And if we're not
4:20
Speaker 2: and we're mistaken, we'd like to understand how we are mistaken.
4:24
Speaker 2: I think that's a that's a pretty reasonable position.
4:27
Speaker 6: I'm a bit concerned as your friend that you're going
4:32
Speaker 6: to go to one of these countries and I'm going
4:34
Speaker 6: to wake up one day You're going to get arrested
4:35
Speaker 6: and like I'm gonna have to go bail you out
4:37
Speaker 6: or something like this is feels very acute, like yes,
4:41
Speaker 6: I mean it's not a joke now, like they're literally saying,
4:44
Speaker 6: like you know, it's not just Biden, saying like we
4:46
Speaker 6: have to look into that guy. Now it's become quite literal,
4:49
Speaker 6: like this, who is the guy who just wrote the
4:53
Speaker 6: was it the Guardian piece about like.
4:54
Speaker 2: Oh yeah, yeah, there have been three articles and I
4:58
Speaker 2: think in the past three weeks Robert right, But it
5:01
Speaker 2: wasn't just him, it was like three different articles.
5:05
Speaker 7: It doesn't that's a trend.
5:07
Speaker 1: Calling for me to be imprisoned in the Guardian, you know,
5:12
Speaker 1: Guardian of what?
5:16
Speaker 2: Yeah, Guardian of I don't know, authoritarism, yeah, Guardian of
5:22
Speaker 2: the censorship.
5:23
Speaker 1: Censorship.
5:24
Speaker 6: But the premise here is that you bought this thing,
5:28
Speaker 6: this online forum, this communication platform, and you're allowing people
5:32
Speaker 6: to use it to express themselves. Therefore you have to
5:36
Speaker 6: be jailed. I don't understand the logic here. There's what
5:41
Speaker 6: do you think they're actually afraid of at this point?
5:44
Speaker 7: What's the motivation here?
5:46
Speaker 1: I mean, I think.
5:48
Speaker 2: If somebody is, if somebody is sort of trying to
5:50
Speaker 2: push a false premise on the world, then and then
5:53
Speaker 2: that that and that premise can be undermined with public dialogue,
5:58
Speaker 2: then they will be opposed to the dialogue on that.
6:01
Speaker 1: Premise because they wish the false premise to prevail.
6:04
Speaker 2: So that's I think, you know, the issue there is
6:09
Speaker 2: if they're n'tlike the truth, you know, then we want
6:12
Speaker 2: to suppress it. So now the you know, the the
6:17
Speaker 2: sort of what what we're trying to do with the
6:19
Speaker 2: X Corps is I distinguished that from my son, who's
6:25
Speaker 2: also called X. You have parental goals every time everything
6:31
Speaker 2: is just called X. Basically it's very difficult disambiguation for
6:35
Speaker 2: the Sun.
6:36
Speaker 1: Yeah, it's everything.
6:38
Speaker 2: So what we're trying to do simply adhere to the
6:44
Speaker 2: you know, the law is a in a country. So
6:48
Speaker 2: so if something is illegal in the United States, or
6:51
Speaker 2: if it's illegal in you know, Europe or Brazil or
6:55
Speaker 2: wherever it might be, then then we will take it
6:58
Speaker 2: down and will suspend the account because we're not you know,
7:02
Speaker 2: there to make the laws. But if speech is not illegal,
7:07
Speaker 2: then then what are we doing? Okay, now we're injecting
7:10
Speaker 2: ourselves in as as a censor, and where does it
7:15
Speaker 2: stop and who decides so and where where does that
7:20
Speaker 2: path lead?
7:21
Speaker 1: I think it leads to a bad place.
7:23
Speaker 2: So if the people in a country want the laws
7:28
Speaker 2: to be different, they should make the laws different. But
7:30
Speaker 2: otherwise we're going to obey the law in each jurisdiction
7:35
Speaker 2: and some of the euro that's it's it's not more
7:37
Speaker 2: complicated that we're not. We're not trying to flow the law.
7:38
Speaker 2: I'm going to be clear about that. We're trying to
7:41
Speaker 2: adhere to the law, and if the law has change,
7:43
Speaker 2: we will change, and if the laws don't change, we won't.
7:46
Speaker 2: We're just literally trying to adhere to the law.
7:49
Speaker 7: Pretty straightforward.
7:50
Speaker 1: You're very straightforward.
7:52
Speaker 2: For some reason things we're not adhering to the law, well,
7:55
Speaker 2: they can file a lawsuit bingo.
7:57
Speaker 7: Also very straightforward.
7:58
Speaker 6: Yes, I mean there are European countries that don't want
8:00
Speaker 6: people to promote naxi propaganda.
8:02
Speaker 7: Yes, they have some sensitivity to it.
8:04
Speaker 1: It's it is illegal and it is illegal in those countries.
8:07
Speaker 6: In those countries, if somebody puts that up, you take
8:09
Speaker 6: it down. Yes, but they typically file something and say.
8:13
Speaker 2: Yes in some cases it is just obviously illegal, Like
8:17
Speaker 2: you don't need to file a lawsuit for you know,
8:21
Speaker 2: if something is just you know, unequivocally illegal, we can
8:24
Speaker 2: literally read the law.
8:25
Speaker 1: This spilights the law.
8:26
Speaker 2: You know, anyone can anyone can see that, like, you know,
8:30
Speaker 2: you don't need like if if somebody is stealing, you
8:32
Speaker 2: don't need let me check the law on that. Yeah, okay,
8:35
Speaker 2: they're they're stealing.
8:39
Speaker 7: We had we had J. D. Evans here this morning.
8:41
Speaker 1: He did a great job.
8:43
Speaker 8: And you know, one of the things is there's this
8:45
Speaker 8: image on X of like basically like you Bobby Trump
8:50
Speaker 8: and a JD or like the Avengers.
8:52
Speaker 7: I guess.
8:53
Speaker 8: And then there's another meme where you're in front of
8:56
Speaker 8: a desk where it says d O g E the
8:58
Speaker 8: Department of Government Efficiency.
9:00
Speaker 1: Yes, yes, I pushed that one.
9:03
Speaker 2: I made it using Grock the image General, and I
9:09
Speaker 2: posted it my profile.
9:15
Speaker 7: How do you do it?
9:17
Speaker 1: Well? I mean, I think with great difficulty.
9:27
Speaker 2: But you know, look, it's been a long time since
9:29
Speaker 2: there was a serious effort to reduce the size of
9:32
Speaker 2: government and to remove absurd regulations. And you know, last
9:39
Speaker 2: time there was a really concerted effort on that front
9:41
Speaker 2: was Reagan in the early eighties. We're forty years away
9:44
Speaker 2: from a serious effort to remove, you know, regulations that
9:52
Speaker 2: don't serve the greater good and reduce the size of government.
9:55
Speaker 2: And I think it's just if we don't do that,
9:59
Speaker 2: then what's what What happening is that we get regulations
10:01
Speaker 2: and laws accumulating every year until eventually everything is illegal.
10:06
Speaker 2: And that's why we can't get major infrastructure projects done
10:09
Speaker 2: in the United States. Like if you look at the
10:11
Speaker 2: absurdity of the California High Speed Rail, I think they
10:14
Speaker 2: spent seven billion dollars and have a sixteen hundred put
10:17
Speaker 2: segment that doesn't actually have rail in it. I mean
10:20
Speaker 2: your tax dollars at work. I mean, yeah, what do
10:23
Speaker 2: we do that's an expense of sixteen hundred.
10:24
Speaker 1: Feet a concrete you know, And I mean I.
10:28
Speaker 2: Think it's like, you know, I realize sometimes I'm perhaps
10:34
Speaker 2: a little optimistic with schedules, but you know, I mean
10:41
Speaker 2: I wouldn't be doing the things I'm doing if I was,
10:44
Speaker 2: you know, not an optimist. So at the current trend,
10:52
Speaker 2: you know, California high speed rail might finish sometime next
10:54
Speaker 2: century maybe well probably not.
10:58
Speaker 7: We're just gonna have Cali quortation by that time.
11:00
Speaker 1: Yeah, exactly, the A I do everything at that point.
11:03
Speaker 2: So so so you I think you really think of
11:09
Speaker 2: you know, the United States and many countries. It's it's
11:12
Speaker 2: arguably worse than the EU as being like Gulliver tied
11:15
Speaker 2: down by a million little strings, and like any one
11:19
Speaker 2: given regulation is not is not that bad, but you've
11:22
Speaker 2: got a million of them and or millions actually and
11:26
Speaker 2: then then eventually just can't get anything done. And and
11:30
Speaker 2: this is a this is a massive tax on the
11:32
Speaker 2: on the consumer, on the people. It's just they don't
11:35
Speaker 2: they don't realize that there's this this massive tax in
11:38
Speaker 2: the form of irrational regulations. I'm gonna give you a
11:42
Speaker 2: recent example that you know is just insane, is that
11:48
Speaker 2: like SpaceX was fined by the e PA one hundred
11:50
Speaker 2: and forty thousand dollars for they claimed dumping putable water
11:55
Speaker 2: on the ground drinking water. So and we're like, uh,
11:59
Speaker 2: this is Starbase and we're like it's we're in a
12:02
Speaker 2: tropical thunderstorm region. That stuff comes from the sky all
12:06
Speaker 2: the time, and there was no actual harm done. You know,
12:12
Speaker 2: it's just water to cool the launch pad during liftoff,
12:16
Speaker 2: and there's zero harm done. And they're like they agree, yes,
12:19
Speaker 2: there's zero harm done. We're like, okay, so there's no
12:21
Speaker 2: harm done and you want to pay one hundred and
12:25
Speaker 2: forty thousands fine, It's like yes, because you didn't have
12:26
Speaker 2: a permit.
12:28
Speaker 1: Okay, we didn't know there was a perman needed or
12:32
Speaker 1: zero harm.
12:33
Speaker 2: Fresh water being on the ground in a place that
12:35
Speaker 2: where fresh water falls from the sky all the time.
12:38
Speaker 6: Got it next to the ocean, next to the ocean
12:41
Speaker 6: because there's a little bit of water there too.
12:43
Speaker 2: Yeah, I mean signs of the rained so much the
12:45
Speaker 2: roads are flooded. So we're like, you know, how does
12:49
Speaker 2: this make any sense?
12:50
Speaker 1: Yeah?
12:51
Speaker 2: And then like then they were like, well, we're not
12:53
Speaker 2: going to process any more of your any more of
12:56
Speaker 2: your applications for launch for Starship launch unless you pay
12:58
Speaker 2: this one hundred and forty thousand dollars ransom dusts. They're like, okay,
13:02
Speaker 2: so we've paid one hundred and forty thousand dollars. But
13:04
Speaker 2: it was it's like this is no good. I mean,
13:06
Speaker 2: at this rate, we're never going to.
13:07
Speaker 1: Get to mars.
13:08
Speaker 6: I mean, that's the that's the confounding part here is
13:14
Speaker 6: we're acting against our own self interests. You know, when
13:17
Speaker 6: you look at we do have to make putting aside
13:20
Speaker 6: fresh water. But hey, you know there the rocket makes
13:23
Speaker 6: a lot of noise.
13:25
Speaker 7: So I'm certain there's some complaints about noise once in
13:28
Speaker 7: a while.
13:28
Speaker 6: But sometimes you want to have a party where you
13:30
Speaker 6: want to make progress and there's a little bit of noise. Therefore,
13:33
Speaker 6: you know, we trade off a little bit of noise
13:35
Speaker 6: for massive progress or even fun.
13:37
Speaker 7: Yeah, so like when did.
13:39
Speaker 6: We stop being able to make those trade offs? But
13:41
Speaker 6: talk about the difference between California and Texas where you
13:46
Speaker 6: and I now reside. Texas, you were able to build
13:50
Speaker 6: the gigafactory.
13:51
Speaker 7: I remember when you got the plot of land and then.
13:53
Speaker 6: Are it seemed like it was less than two years
13:57
Speaker 6: when you had the party to open it.
14:00
Speaker 2: From startic construction to completion was fourteen months. Fourteen fourteen months.
14:08
Speaker 6: Is there anywhere on the planet that would go faster?
14:09
Speaker 7: Is like China faster than that?
14:12
Speaker 1: China was eleven months?
14:13
Speaker 5: Got it?
14:14
Speaker 6: So Texas China eleven and fourteen months California.
14:20
Speaker 2: And just give you a sense of size. The tells
14:23
Speaker 2: a giga factory in China three times the size of
14:25
Speaker 2: the Pentagon.
14:26
Speaker 7: Which was the biggest building in America.
14:28
Speaker 1: No, there were bigger buildings, but the Pentagon is pretty
14:30
Speaker 1: big one. Yeah, where it was the big units in
14:31
Speaker 1: units of Pentagon, it's like three.
14:34
Speaker 6: Okay, three Pentagons and counting.
14:36
Speaker 1: Yeah, got it in fourteen months.
14:41
Speaker 2: The just the regulatory approvals in California would have taken
14:45
Speaker 2: two years.
14:47
Speaker 1: So that's that's the issue.
14:49
Speaker 8: Where do you think the regulation helps, Like for the
14:52
Speaker 8: people that will say we need some checks and balances,
14:55
Speaker 8: we can't have some because for every good actor like you,
14:56
Speaker 8: they'll be a bad actor. So where's that line then?
15:00
Speaker 2: Yeah, I mean I have a sort of you know,
15:04
Speaker 2: in sort of doing a sensible derregulation and reduction in
15:10
Speaker 2: the size of gunment is just like be very public
15:13
Speaker 2: about it and say, like, which of these rules do
15:15
Speaker 2: you If the public is really excited about a rule
15:18
Speaker 2: and wants to keep it, we'll just keep it. And
15:20
Speaker 2: the thing about the rules if the rule is you know,
15:24
Speaker 2: it turns out to be a bad let's put it
15:26
Speaker 2: right back, okay, And then you know promsult it's like
15:29
Speaker 2: it's easy to add rules, but we don't actually have
15:31
Speaker 2: a process for getting rid of them. That's the issue.
15:34
Speaker 2: There's no garbage collection rules.
15:39
Speaker 1: When we were.
15:41
Speaker 6: Watching you work, David and I and Antonio in that
15:44
Speaker 6: first month at Twitter, which was all hands on deck
15:47
Speaker 6: and you were doing zero based budgeting, you really quickly
15:51
Speaker 6: got the costs under control, and then miraculously everybody said
15:55
Speaker 6: this site will go down, and you added fifty more features.
15:59
Speaker 7: So maybe explain because this is the first time.
16:02
Speaker 2: They were like so many articles like the that this
16:06
Speaker 2: is Twitter is dead forever, there's no way good possibly
16:09
Speaker 2: even continue at all.
16:11
Speaker 1: It was almost like the press you to see here's
16:14
Speaker 1: the obituary.
16:15
Speaker 3: Saying they're good byes on Twitter. Remember that.
16:17
Speaker 4: Yeah, yeah, yeah, they're all leaving and saying their good
16:19
Speaker 4: buyes because the site was gonna melt down.
16:21
Speaker 1: The yeah, totally failing and uh, all.
16:24
Speaker 6: The journalists left, Which is if you ever want to
16:28
Speaker 6: like hang out with a bunch of hall monitors, Oh
16:30
Speaker 6: my god, Threads is amazing.
16:32
Speaker 9: Every time I go over there post they're like they
16:35
Speaker 9: they're really triggered.
16:36
Speaker 2: But yeah, I mean, if you like being condemned repeatedly,
16:39
Speaker 2: then yes, you know, for the reasons that makes no sense,
16:41
Speaker 2: then threads is the way to go.
16:43
Speaker 7: It's really it's the most miserable place on earth.
16:46
Speaker 6: If Disney's the happiest, this is the anti Disney. But
16:50
Speaker 6: if we were to go into government, you went into
16:52
Speaker 6: the Department of Education or pick the department. You've worked
16:55
Speaker 6: with a lot of them. Actually, you can't go in
16:58
Speaker 6: there and see based budget. Okay, we get it.
17:00
Speaker 7: But if you.
17:01
Speaker 6: Could just pair two, three, four or five percent of
17:05
Speaker 6: those organizations, what kind of impact would that have?
17:10
Speaker 1: Yeah, I mean I think we need to do more
17:12
Speaker 1: than that.
17:12
Speaker 6: I think ideally compounding every year two three percent a year,
17:17
Speaker 6: I mean, it would be better than what's happening now.
17:21
Speaker 1: Yeah, look, I think we've.
17:26
Speaker 2: You know, if Trump wins, and I'll say this, I
17:31
Speaker 2: suspect there are people with mixed feelings about whether that
17:33
Speaker 2: should happen. But if but we do have an opportunity
17:38
Speaker 2: to do kind of a once in a lifetime deregulation
17:42
Speaker 2: and reduction in the size of the government. Because because
17:44
Speaker 2: the thin besides the regulations, America is also going bankrupt
17:47
Speaker 2: extremely quickly, and nobody seems to everyone seems to be
17:52
Speaker 2: sort of whistling past the graveyard on this one.
17:56
Speaker 7: But they're all grabbing the silverware.
17:58
Speaker 10: Everyone's stuff in their pockets and silverware before this Titanic says.
18:02
Speaker 2: Well, you know, the the Defense Department budget is a
18:06
Speaker 2: very big budget. Okay, it's a trillion dollars a year, deity,
18:10
Speaker 2: until it's trill trillion dollars. And interest payments on the
18:16
Speaker 2: national debt just exceeded the Defense Department budget. But they're
18:20
Speaker 2: over a trillion dollars a year just in interest and rising.
18:26
Speaker 2: We're adding a trillion dollars to the net to our debt,
18:30
Speaker 2: which our you know, kids and grandkids are going to
18:33
Speaker 2: have to pay somehow, you know, every every three months,
18:39
Speaker 2: and then soon it's going to be every two months,
18:41
Speaker 2: and then every month, and then the only thing we'll
18:43
Speaker 2: be able to pay is interest. And if this is
18:47
Speaker 2: it's just you know, it's just like a person at
18:49
Speaker 2: scale that has racked up too much credit card debt.
18:55
Speaker 2: And uh, this this is not this does not have
19:00
Speaker 2: a good ending, and so we have to reduce the spending.
19:04
Speaker 10: Let me ask one question, because I've brought this up
19:06
Speaker 10: a lot, and the counter argument I hear, which I
19:09
Speaker 10: disagree with, But the counter argument I hear from a
19:11
Speaker 10: lot of politicians, is if we were to use spending
19:14
Speaker 10: because right now, if you add up federal, state, and
19:16
Speaker 10: local government spending, it's between forty and fifty percent of GDP.
19:22
Speaker 10: So nearly half of our economy is supported by government spending,
19:26
Speaker 10: and nearly half of people in the United States are
19:29
Speaker 10: dependent directly or indirectly on government checks and either through
19:33
Speaker 10: contractors that the government pays or they're employed by government entity.
19:38
Speaker 10: So if you go in and you take two hardened
19:40
Speaker 10: acts too fast, you will have significant contraction, job loss
19:44
Speaker 10: and recession. What's the balancing act? Elon? Just thinking realistically,
19:49
Speaker 10: because I'm one hundred percent on board with you, step
19:52
Speaker 10: the next set of steps. However, assume Trump wins and
19:56
Speaker 10: you become the chief doge?
20:01
Speaker 1: Uh uh g? How how like?
20:07
Speaker 7: Yeah?
20:07
Speaker 10: And I think the challenge is how quickly can we yea,
20:09
Speaker 10: how quickly can we go in? How quickly can they
20:12
Speaker 10: change and without without.
20:17
Speaker 11: That on my business card, without all the lot, without
20:21
Speaker 11: all the contraction And Tom Scott, yeah, so, so I
20:24
Speaker 11: guess how do you really address it when so much
20:26
Speaker 11: of the economy and so many people's jobs and livelihoods
20:28
Speaker 11: are dependent on government spending?
20:31
Speaker 2: Well, I mean, I do think it's it's it's sort
20:33
Speaker 2: of you know, it's a false dichotomy. It's not like
20:38
Speaker 2: no government spending is going to happen. You really have
20:41
Speaker 2: to say, like it's at the right level. And just
20:45
Speaker 2: remember that that you know, any any given person, if
20:48
Speaker 2: they are doing things in a less efficient organization versus
20:52
Speaker 2: more efficient organization, they're contribution to economy.
20:55
Speaker 1: There net output of business services will reduce.
20:59
Speaker 2: I mean you've got a couple of clear examples between
21:02
Speaker 2: East Germany and West Germany, North Korea and South Korea.
21:05
Speaker 2: I mean North Korea they're starving. South Korea. It's like amazing.
21:09
Speaker 10: It's a compounding effect of productivity games.
21:12
Speaker 1: Yeah, yeah, it's night and day. Yeah.
21:14
Speaker 2: And so in the North North Korea you've got one
21:16
Speaker 2: hundred percent government. In South Korea you've got probably forty
21:20
Speaker 2: percent government. It's not zero. And yet you've got a
21:23
Speaker 2: standard of living that is probably ten times higher in
21:25
Speaker 2: South Korea at least exactly.
21:29
Speaker 1: And then East and West Germany.
21:31
Speaker 2: In West Germany you hadn't just thinking in terms of cars,
21:35
Speaker 2: I mean you had MW, Porsche.
21:36
Speaker 1: Audi, Mercedes.
21:39
Speaker 2: And East Germany, which is a random line on a map,
21:44
Speaker 2: the car only car you could get was a trabante,
21:47
Speaker 2: which is basically a lawnmower with a shell in it,
21:50
Speaker 2: and it was extremely unsafe. There was a twenty year wait,
21:57
Speaker 2: so like you know, put your kid on the list
22:00
Speaker 2: as they're conceived. And even then only I think, you know,
22:05
Speaker 2: a quarter of people maybe got this lousy car.
22:10
Speaker 1: And it's just the same.
22:11
Speaker 2: So that's just an interesting example of like basically the
22:13
Speaker 2: same people, different operating system. And it's not like West
22:18
Speaker 2: Germany was some you know, you know, a capitalist heaven.
22:23
Speaker 1: It was.
22:24
Speaker 2: It's quite socialist actually, so so when you look at
22:28
Speaker 2: you know, probably it was half half government in West
22:32
Speaker 2: Germany and one hundred percent government in East Germany.
22:34
Speaker 1: And again it's sort of a.
22:36
Speaker 2: Five to I'd like it call at least a five
22:39
Speaker 2: to ten x standard of living difference, and even qualitatively
22:42
Speaker 2: vastly better. And and it's obviously you know sometimes people
22:45
Speaker 2: have these amazingly in this modern era, this debate as
22:48
Speaker 2: to which system is better, Well, I'll tell you which
22:50
Speaker 2: system is better. The one that doesn't need to build
22:53
Speaker 2: the world, keep people in. Okay, that's that's.
22:56
Speaker 1: How you can tell.
22:57
Speaker 2: Okay, it's a dead giveaway.
23:02
Speaker 1: Spoiler alert. It did giveaway to get away, come in.
23:06
Speaker 2: You have to build a barrier to keep people in.
23:09
Speaker 2: That is the bad system. There wasn't West West Berlin
23:14
Speaker 2: that built the wall. Okay, they were like, you know,
23:17
Speaker 2: anyone who wants to flee West Berlin go ahead.
23:20
Speaker 1: So you know, and and if you look at sort of.
23:23
Speaker 2: The flux of boats from Cuba, there's a large number
23:27
Speaker 2: of boats from Cuba, and there's a bunch of free
23:30
Speaker 2: boats that anyone can take to Cuba, like plenty of seats.
23:36
Speaker 2: There's like, hey, wow, an abandoned boats. I could use
23:38
Speaker 2: this boat to go to Cuba where they have communism. Awesome,
23:43
Speaker 2: and yet nobody, nobody picks up those boats and does it.
23:46
Speaker 1: Amazing.
23:48
Speaker 7: So given us a lot of thought.
23:50
Speaker 10: Yeah, so your point is jobs will be created if
23:52
Speaker 10: we cut government spending in half. Jobs will be created
23:55
Speaker 10: fast enough to make up for right just to count.
23:58
Speaker 2: Yes, obviously, you know, I'm not suggesting that that people
24:01
Speaker 2: you know have like immediately tossed out with with no
24:06
Speaker 2: severians and and you know can't not can't pay their mortgage.
24:09
Speaker 2: Then you see some reasonable off ramp where yeah, so
24:13
Speaker 2: a reasonable off ramp.
24:14
Speaker 1: Where you know they're still you know, earning.
24:17
Speaker 2: They're still receiving money, but have like a year or
24:19
Speaker 2: two to to find jobs in the private sector, which
24:23
Speaker 2: they will find, and then there will be in a
24:24
Speaker 2: different operating system. Again, you can see the difference. East
24:28
Speaker 2: Germany was incorporated into West Germany. Living standards in East
24:31
Speaker 2: Germany rose dramatically.
24:35
Speaker 6: So in four years, if you could shrink, aside the
24:38
Speaker 6: size of the government with Trump, what would be a
24:40
Speaker 6: good target just in terms of like ballpark, are.
24:43
Speaker 1: You trying to get me assassinated before this even happens?
24:46
Speaker 7: No? No, pick a low number.
24:48
Speaker 2: I mean, you know there's that old phrase, go postal.
24:50
Speaker 2: I mean it's like they might, yeah me, so we'll
24:53
Speaker 2: keep the post office a security detail.
24:56
Speaker 1: Guys.
24:57
Speaker 2: Yes, you are a number of just ground holds workers
25:02
Speaker 2: for former government employees, is you know.
25:06
Speaker 1: Quite scary number. I mean I might not make it,
25:08
Speaker 1: you know.
25:08
Speaker 6: I was saying low, low digits every year for four
25:10
Speaker 6: years would be palatable.
25:12
Speaker 2: And I like, if the thing is that I it's
25:14
Speaker 2: not done, Like if you have a once once in
25:17
Speaker 2: a lifetime, once in a generation opportunity and you don't
25:21
Speaker 2: take serious action and then you have four years to
25:25
Speaker 2: get it done, and then and if it doesn't get done, then.
25:29
Speaker 7: How serious is Trump about this? Like you've talked to
25:31
Speaker 7: them about it?
25:31
Speaker 1: Yeah, yeah, he is very serious about it.
25:34
Speaker 3: Got it?
25:36
Speaker 2: And no, I think actually the reality is that if
25:38
Speaker 2: you get rid of nonsense regulations and shift people from
25:42
Speaker 2: the government sector to the private sector, we will have
25:45
Speaker 2: immense prosperity and and I think we will have a
25:49
Speaker 2: golden age in this country and it'll be fantastic.
25:54
Speaker 1: Were talking about. I guess.
25:59
Speaker 8: You have a bunch of critical milestones coming up.
26:01
Speaker 1: Yeah.
26:02
Speaker 2: In fact, there's an important, a very exciting launch that
26:07
Speaker 2: maybe happening tonight. So if that, if the weather is
26:10
Speaker 2: holding up, then I'm going to leave here head to
26:12
Speaker 2: Kate Canaveral for the the Plower Storm mission, which is
26:17
Speaker 2: a private mission subfunded by Jack Dardisaman and he's importing
26:22
Speaker 2: guy and and there. This will be the first time
26:26
Speaker 2: the first private, first post commercial spacewalk, and it'll be
26:31
Speaker 2: at the highest altitude since Apollo.
26:34
Speaker 1: So it's the furthest from Earth that anyone's gone. Yeah,
26:42
Speaker 1: and you know, I go after that.
26:44
Speaker 8: Let's assume that's successful.
26:46
Speaker 1: And I sure hope so many.
26:55
Speaker 2: Yeah, we're you know, absolutely, you know, astronaut prior astronaut
26:59
Speaker 2: safety man, if I would like all the issues I
27:03
Speaker 2: could save up, that would be the one to put on.
27:06
Speaker 1: So you space is dangerous, so the yeah, I mean
27:14
Speaker 1: the next.
27:15
Speaker 2: Mile soon after that would be the next flight of Starship,
27:21
Speaker 2: which you know, Starship is the next flight. Starship is
27:24
Speaker 2: ready to fly. We are waiting for regulatory approval.
27:30
Speaker 1: You know.
27:33
Speaker 2: It really should not be possible to build a giant
27:36
Speaker 2: rocket faster than the paper can move from one desk
27:40
Speaker 2: to another.
27:44
Speaker 1: So.
27:48
Speaker 7: It is really hard approved.
27:52
Speaker 10: Yeah, that movie you ever see that moviees Utopia, there's
27:56
Speaker 10: like a sloth.
28:00
Speaker 2: Well yeah, yeah, they accidentally tell a joke and then
28:03
Speaker 2: and I was like, oh no, this is here.
28:04
Speaker 1: We can take a long time.
28:07
Speaker 2: But yeah, z Utopia, you know, it's you know, the
28:11
Speaker 2: funny thing is like, so I went to the d
28:14
Speaker 2: m V about I don't know, a year later after
28:18
Speaker 2: z Utopia and to get my license renew and the guy,
28:22
Speaker 2: in an exercise of incredible self awareness, had the slots
28:25
Speaker 2: from Utopia in his his cube in his cube and
28:30
Speaker 2: he was actually swift.
28:33
Speaker 7: With the date.
28:35
Speaker 1: Yea. Yeah, No personal agency, personal agency.
28:38
Speaker 2: No, I mean sometimes people like I think the you know,
28:43
Speaker 2: the government is more confident than than it is. I'm
28:47
Speaker 2: not saying that there aren't confident people in the government.
28:48
Speaker 2: They're just in an operating system that is inefficient. Once
28:52
Speaker 2: you move them to a more efficient operating system, they
28:54
Speaker 2: their output is dramatically greater, as we've seen exactly. You
28:58
Speaker 2: know when East Jany was reintegrated Toto with West Germany
29:02
Speaker 2: and the same people were vastly more prosperous with a
29:08
Speaker 2: basically half capitalist operating system.
29:11
Speaker 1: So but I mean, for a.
29:16
Speaker 2: Lot of people live there, like the maybe most direct
29:19
Speaker 2: experience with with the government is the DMV and and
29:22
Speaker 2: and then the important thing to remember is that the
29:24
Speaker 2: government is the d m V at scale, right.
29:30
Speaker 1: Got the government got the mental power? How much do
29:32
Speaker 1: you want to scale it? Yeah?
29:38
Speaker 10: Sorry, can you go back to Chamat's question on starch.
29:41
Speaker 10: So you you announced just the other day Starship going
29:43
Speaker 10: to Mars in two years and by the way, yeah yeah,
29:48
Speaker 10: yeah yeah, and then four years for crude as personal
29:53
Speaker 10: launch and the next and how much is the government involved?
29:56
Speaker 1: Let's say, like say you watched by these not you know,
29:59
Speaker 1: but these.
30:01
Speaker 2: But based on our current progress, where with Starship we're
30:05
Speaker 2: able to successfully reach oval of lasty twice we were
30:09
Speaker 2: able to achieve soft landings of the booster and the
30:13
Speaker 2: ship in the water. And that's despite the ship having
30:17
Speaker 2: you know, half its class cooked off.
30:19
Speaker 1: You can see the video on the X platform is
30:21
Speaker 1: quite conciding.
30:23
Speaker 2: So you know, we we think we'll be able to
30:26
Speaker 2: have to launch reliably and repeatedly and quite quickly.
30:32
Speaker 1: And the fundamental Holy Grail breakthrough for rocketry.
30:37
Speaker 2: For what the fundamental breakthrough that is needed for life
30:41
Speaker 2: to become multiplanetary is a rapidly reusable, reliable rocket are for.
30:49
Speaker 1: The pirate somehow throw a firate in there.
30:55
Speaker 2: The So Starship is the first rocket design where success
31:03
Speaker 2: is one of the possible outcomes with full reusability. So
31:08
Speaker 2: for any given project, you have to say, this is
31:10
Speaker 2: the circle to the right band diagrams because a circle
31:14
Speaker 2: and it is success.
31:15
Speaker 1: The success dot in the circle is success in the
31:20
Speaker 1: set of possible outcomes.
31:21
Speaker 2: That's uh, you know, it sounds pretty obvious, but there
31:25
Speaker 2: are often projects where that that is success.
31:28
Speaker 1: Is not in the set of possible outcomes.
31:31
Speaker 2: And so so Starship not only is fully full reusability
31:36
Speaker 2: in the set of possible outcomes, it is being proven
31:38
Speaker 2: with each launch and and and I'm confident it will
31:42
Speaker 2: succeed as simply a matter of time. And you know,
31:46
Speaker 2: if we can get some improvement in the speed of regulation,
31:51
Speaker 2: we could actually move a lot faster. Uh So that
31:57
Speaker 2: would that would be very helpful. And and in fact,
31:59
Speaker 2: if the if not, if something isn't done about reducing
32:04
Speaker 2: regulation and sort of speeding up approvals.
32:07
Speaker 1: And to be clear, I'm not talking about anything unsafe.
32:10
Speaker 2: It's simply the processing of the safe thing can be
32:14
Speaker 2: done at as as.
32:16
Speaker 1: Fast as the rocket is built, not slower, then.
32:20
Speaker 2: Then we could become a space bearing civilization and a
32:23
Speaker 2: multiplanted species and ultimate and be out there among the
32:26
Speaker 2: stars in the future.
32:26
Speaker 1: And there's you know, it's it's just very like it's incredibly.
32:34
Speaker 2: Important that we have things that that we find inspiring,
32:39
Speaker 2: that you look to the future and say the future
32:42
Speaker 2: is going to be better than the past. Things to
32:44
Speaker 2: look forward to, and like like kids.
32:47
Speaker 1: Are a good a good way to assess this, Like
32:50
Speaker 1: what are kids fired up about? And if you could.
32:53
Speaker 2: Say, you know, you could you know, you could be
32:57
Speaker 2: an actional Mars. You could maybe one day go beyond
33:01
Speaker 2: the Solar System. We could make star trek star for
33:05
Speaker 2: the academy. Real that is an exciting future that is inspiring,
33:13
Speaker 2: you know, just I mean you need things that move
33:16
Speaker 2: your heart, right, yeah?
33:20
Speaker 12: Fuck yeah, yeah, let's do it.
33:24
Speaker 2: But I mean, like, like life can't just be about
33:28
Speaker 2: solving one miserable problem after another.
33:30
Speaker 1: There's got to be things that you look forward to
33:31
Speaker 1: as well.
33:32
Speaker 6: Yeah, and do you think you might have to move
33:36
Speaker 6: it to a different jurisdiction and to move faster.
33:38
Speaker 7: I've always wondered if, like.
33:40
Speaker 2: It's rocket technology is considered in fast weapons technology, so
33:43
Speaker 2: we can't just go do it, you know.
33:45
Speaker 7: In another country.
33:46
Speaker 6: Yes, in interesting and if we don't do it, other
33:49
Speaker 6: countries could do it. I mean they're so far behind us.
33:52
Speaker 6: But theoretically there's a national security you know, justification here
33:58
Speaker 6: if somebody can put their thinking caps on, like do
34:01
Speaker 6: we want to have this technology that you're building. The
34:03
Speaker 6: team's works are hard on stolen by other countries, and
34:06
Speaker 6: then you know, maybe they don't have as much red tape.
34:09
Speaker 2: I wished people were trying to steal it, so that
34:14
Speaker 2: no one's trying to steal it.
34:15
Speaker 1: It's just too This is too crazy basically, and that's
34:22
Speaker 1: for you.
34:23
Speaker 7: Yeah, what do you think is going on?
34:27
Speaker 8: That led to Boeing building the star Line the way
34:31
Speaker 8: that they did. They were able to get it up.
34:37
Speaker 7: But not complete.
34:38
Speaker 1: But can't complete.
34:39
Speaker 7: They can't finish.
34:40
Speaker 8: I can't finish, and we're gonna have to go up
34:43
Speaker 8: and finish well.
34:50
Speaker 2: I mean, I think Boding is a company that is
34:54
Speaker 2: they actually do so much business with the government. They
34:56
Speaker 2: have sort of impedance match to the government, so they're
34:59
Speaker 2: like bas the one notch away from the government. Maybe
35:03
Speaker 2: they're not far from the government from an efficiency standpoint
35:05
Speaker 2: because they derive so much of the revenue from the government.
35:09
Speaker 2: A lot of people think, well, SpaceX is super dependent
35:11
Speaker 2: on the government, and I actually know.
35:13
Speaker 1: Most of our revenues commercial, so and and and there's.
35:23
Speaker 2: I think, at least up until perhaps recently, because then
35:27
Speaker 2: a new CEO who actually shows up in the factory,
35:31
Speaker 2: and the CEO before that I think had a degree
35:33
Speaker 2: in accounting and I never went to the factory and
35:36
Speaker 2: didn't know how airplanes flew. So I think if you
35:41
Speaker 2: are in charge of a company that makes airplanes fly
35:44
Speaker 2: and spacecraft go to orbit, then it can't be a
35:51
Speaker 2: total mystery as to how they work. So you know,
35:59
Speaker 2: I'm like, sure if somebody is like running Coco Pepsi
36:02
Speaker 2: and they're like great at marketing or whatever. That's that's
36:05
Speaker 2: fine because you know it's not a sort of technology
36:09
Speaker 2: dependent business, you know. Or if they're running a you know,
36:14
Speaker 2: financial consulting in their degrees in accounting, that makes sense.
36:18
Speaker 2: But I think you know, if you're if you're the
36:21
Speaker 2: cavalry captain, is should know how to ride a horse?
36:24
Speaker 7: Pretty basic.
36:25
Speaker 2: Yeah, it's like it's just concerning it.
36:30
Speaker 1: The cavalry captain spoils off the horse.
36:31
Speaker 2: You know, he's as a team, I'm sorry, gets on
36:38
Speaker 2: backwards and.
36:38
Speaker 3: Like shifting gears to AI.
36:43
Speaker 4: Peter was here earlier and he was talking about how
36:45
Speaker 4: so far the only company to really make money off
36:48
Speaker 4: AI is and Vidia with the chips. Do you have
36:51
Speaker 4: a sense yet of where you think the big applications
36:55
Speaker 4: will be from AI? Is it going to be an
36:57
Speaker 4: enabling self driving? Is it going to be enabling robots?
37:00
Speaker 4: Is it transforming industries? I mean, it's still I think
37:04
Speaker 4: early in terms of where the big business impact is
37:07
Speaker 4: going to be.
37:07
Speaker 1: Give a sense yet, I mean, I think I think
37:21
Speaker 1: they that there.
37:23
Speaker 2: The spending on AI probably runs ahead of I mean,
37:26
Speaker 2: it does run ahead of the revenue right now.
37:28
Speaker 1: That's there's no question about that.
37:31
Speaker 2: But the rate of improvement of AI is faster than
37:35
Speaker 2: any technology I've ever seen by far, and and and
37:40
Speaker 2: it's I mean, like, for example, a touring test used
37:46
Speaker 2: to be a thing. Now you know your basic open
37:50
Speaker 2: source random l M, you're writing on a freaking Raspberry pie.
37:54
Speaker 2: Probably could you know, be at the touring test. So
38:00
Speaker 2: there's I think, actually, like the good future of AI
38:09
Speaker 2: is one of immense prosperity, where there is an age
38:16
Speaker 2: of abundance, no shortage of goods and services. Everyone can
38:21
Speaker 2: have whatever they want, unless except for things we artificially
38:25
Speaker 2: defined to be scarce, like some special artwork.
38:29
Speaker 1: But anything that is a manufactured.
38:31
Speaker 2: Good or provided service will I think with the adment
38:35
Speaker 2: of AI plus robotics that the cost of goods and
38:39
Speaker 2: services will be will trend to zero. I'm not saying
38:46
Speaker 2: it'd be actually zero, but it'll be everyone will be
38:51
Speaker 2: able to have anything they want. That's the good future,
38:55
Speaker 2: of course. And you know, in my view that's probably
38:57
Speaker 2: eighty percent likely. Look on the right side, only twenty
39:02
Speaker 2: percent probably of annihilation.
39:04
Speaker 3: Nothing is the twenty percent that like, what does that
39:08
Speaker 3: look like?
39:10
Speaker 1: Man?
39:11
Speaker 2: I mean frankly, I do have to go engage in
39:14
Speaker 2: some degree of deliberate suspension of disbelief with respect to
39:16
Speaker 2: AI in order to sleep well.
39:20
Speaker 1: And even then.
39:22
Speaker 2: Because I think the actual issue, the most likely issue
39:26
Speaker 2: is like, well, how do we find meaning in a
39:27
Speaker 2: world where AI can do everything, we can do a
39:29
Speaker 2: bit better that that that is perhaps the biggest challenge.
39:35
Speaker 2: Although you know, at this point, I know more and
39:38
Speaker 2: more people who are retired and they seem to enjoy
39:40
Speaker 2: that life. So but I think that that may be
39:45
Speaker 2: maybe there'll be some crisis of meaning, Like because the
39:48
Speaker 2: computer can do everything, you can do a bit better,
39:51
Speaker 2: so maybe that'll.
39:52
Speaker 1: Be a challenge. But really, you know, you need you
39:59
Speaker 1: need this sort of end of factors.
40:00
Speaker 2: You need the the autonomous cars, and you need the
40:05
Speaker 2: sort of humanoid robots or general purpose robots. But once
40:10
Speaker 2: you have general purpose humanoid robots and autonomous vehicles, you.
40:17
Speaker 1: Really you you you can build anything.
40:22
Speaker 2: And and this there's I think that there's no actual
40:24
Speaker 2: limit to the size of the economy. I mean, there's
40:27
Speaker 2: obviously you know, the massive Earth, you know, like that
40:30
Speaker 2: will be alone one limit, but you know, the the
40:34
Speaker 2: economy is really just the average productivity per person times
40:39
Speaker 2: number of people. That's the economy. And if you've if
40:42
Speaker 2: you've got humanoid robots that can do you know where
40:48
Speaker 2: there's no real limit on the number of humanoid robots
40:51
Speaker 2: and and they can operate very intelligently, then then there's
40:55
Speaker 2: no actual limit to the economy. There's no meaningful limit
40:58
Speaker 2: to the economy.
40:59
Speaker 8: You guys just earned on Colossus, which is like the
41:02
Speaker 8: largest private compute cluster I guess of GPUs anywhere.
41:06
Speaker 1: So it's the it's the most powerful supercomputer of any kind, which.
41:12
Speaker 8: Sort of speaks to what David said and kind of
41:14
Speaker 8: what Peter said, which is a lot of the kind
41:17
Speaker 8: of economic.
41:18
Speaker 7: Value so far of AI.
41:19
Speaker 1: AI has entirely gone to in video.
41:22
Speaker 8: But there are people with alternatives, and you're actually one
41:25
Speaker 8: with an alternative. Now you have a very specific case
41:27
Speaker 8: because Nojo's really about images and large images, huge video.
41:32
Speaker 2: So yeah, I mean, the tel the problem is different
41:35
Speaker 2: from the you know, the sort of L and M
41:39
Speaker 2: problem that the nature of the intelligence actually is actually
41:43
Speaker 2: and then what matters in the AI is different to
41:50
Speaker 2: the point you just made, which is that in the
41:51
Speaker 2: in tells Us case, the context like is very long.
41:55
Speaker 1: So you've got gigabytes of context context windows. Yeah, yeah,
41:58
Speaker 1: you've got you know of.
42:02
Speaker 2: Kind of billions of tokens of context an the amount
42:04
Speaker 2: of context because you've got seven seven cameras and if
42:08
Speaker 2: if you've got several you know, let's say you've got
42:11
Speaker 2: a minute of several high high def cameras, then that's gigabytes.
42:16
Speaker 1: So you need to compress.
42:17
Speaker 2: So the teslil problem is you've got to compress a
42:20
Speaker 2: gigantic context into the pixels that are that actually matter.
42:26
Speaker 1: And.
42:28
Speaker 2: You know, and and and condensed that over a time
42:31
Speaker 2: So you've got in both the time dimension and the
42:34
Speaker 2: space dimension. You've got to compress the pixels uh in
42:38
Speaker 2: space and the pixels of it in time, and and
42:42
Speaker 2: and then and then have that inference done on a
42:46
Speaker 2: tiny computer relatively speaking, a small than you know, a
42:49
Speaker 2: few hundred watts.
42:51
Speaker 9: Uh.
42:52
Speaker 2: It's a test that designed AI in furnest computer, which
42:55
Speaker 2: is still the best. There isn't a better thing we
42:57
Speaker 2: could buy from suppliers. So the test that design and
43:00
Speaker 2: AI in firmst computer that's in the cars is better
43:03
Speaker 2: than anything we could buy from any supplier.
43:05
Speaker 1: Just by the way.
43:06
Speaker 2: That's kind of by the way the air trip team
43:10
Speaker 2: is extremely good.
43:10
Speaker 8: You guys in the design there was a technical paper
43:13
Speaker 8: and there was a deck that somebody on your team
43:15
Speaker 8: from Tesla published and it was stunning to me. You
43:18
Speaker 8: designed your own transport control like layer over Ethernet. You're like, oh,
43:22
Speaker 8: Ethernet's not good enough for us. You have this pt
43:25
Speaker 8: CUI or something, and you're like, oh, we're just going
43:27
Speaker 8: to reinvent Ethernet and like string these It's pretty incredible
43:30
Speaker 8: stuff that's happening over there.
43:31
Speaker 1: Yeah.
43:33
Speaker 2: Now, the team, the Tesla Chef design team is extremely,
43:37
Speaker 2: extremely good.
43:39
Speaker 1: So but is there a.
43:41
Speaker 8: World where, for example, other people over time that need
43:44
Speaker 8: you know, some sort of like video use case or
43:46
Speaker 8: image case. Theoretically you know, you'd say why not. You know,
43:50
Speaker 8: I have some extra cycles over here, so we should
43:53
Speaker 8: kind of make you a competitor of entity. It's not
43:54
Speaker 8: intentionally per.
43:55
Speaker 1: Se, but yeah, I mean the.
44:01
Speaker 2: You know, there's this training and inference and we do
44:04
Speaker 2: have the you know those two projects at TAILS. We've
44:06
Speaker 2: got Dojo, which is the training computer, uh and then
44:11
Speaker 2: you know our inference chip which is in every every
44:15
Speaker 2: car in computer so and dojo. We've only had Dojo one.
44:21
Speaker 2: Dojo two is you know should be we should have
44:25
Speaker 2: Dojo two volume towards then the next year, and and
44:29
Speaker 2: that that that will be.
44:30
Speaker 1: We think sort of comparable to.
44:34
Speaker 2: The sort of a B two hundred type system, a
44:38
Speaker 2: training system, and you know, so there's I guess there's
44:43
Speaker 2: some potential for for that to be used as a service.
44:49
Speaker 1: But like.
44:52
Speaker 2: Dojo is just kind of like, I mean, we're I guess,
44:56
Speaker 2: I guess I have like some improved confidence dojo, But
45:03
Speaker 2: I think we won't really know how good dojo is
45:06
Speaker 2: until probably version three. Like usually takes three major iterations
45:11
Speaker 2: on a technology for it to be excellent, and we'll
45:15
Speaker 2: only have the second major iteration next year, the third iteration,
45:21
Speaker 2: I don't know, maybe late, you know, twenty six or
45:24
Speaker 2: something like that.
45:25
Speaker 7: How's the Optimist project going. I remember we talked last
45:28
Speaker 7: and you said it's publicly.
45:30
Speaker 6: That it's in doing some light testing inside the factory.
45:34
Speaker 7: Yeah, actually being useful. What's the build of materials?
45:38
Speaker 6: And when you know, for something like that at scale,
45:41
Speaker 6: so when you start making it, like you're making the
45:42
Speaker 6: Model three now and there's a million of them coming
45:44
Speaker 6: off the factory line, what would the would they cost
45:47
Speaker 6: twenty thirty forty thousand dollars, you.
45:48
Speaker 2: Think, Yeah, I mean what I'm going I've discovered really
45:52
Speaker 2: that you know, anything made in sufficient volume will asymptotically
45:57
Speaker 2: approach the cost.
45:58
Speaker 1: Of its of a it's materials.
46:02
Speaker 2: So now there's the there's I should say that there's
46:05
Speaker 2: some things are constrained by the cost of intellectual property
46:08
Speaker 2: and like paying for patents and stuff. So a lot
46:11
Speaker 2: of you know, what's in a chip is like paying
46:14
Speaker 2: paying royalties and depreciation of the chip bab so. But
46:19
Speaker 2: the actual mordule costs the chips is very low. So
46:23
Speaker 2: so so Optimists. It obviously is human, right, robot it is.
46:27
Speaker 2: It weighs much less than it's much smaller than a car,
46:31
Speaker 2: so the you could expect that in high volume. And
46:37
Speaker 2: I would say you also probably need three three production
46:39
Speaker 2: versions of Optimists, So you need to refine the designs
46:43
Speaker 2: three at least three major times, and then you need
46:47
Speaker 2: to scale production to sort of the million unit plus
46:51
Speaker 2: per year level. And I think at that point, the
46:56
Speaker 2: cost the you know, the every materials on Optimists is
47:01
Speaker 2: probably not much more than ten thousand dollars, and.
47:05
Speaker 7: That's a decade long journey.
47:06
Speaker 2: Maybe basically think of it like the Optimists will cost
47:09
Speaker 2: less than a small car, right, so at at scale
47:16
Speaker 2: volume with three major iterations of technology, and so for
47:20
Speaker 2: a small car it costs twenty five thousand dollars, you know,
47:24
Speaker 2: it's it's probably like a twenty thousand dollars for an
47:27
Speaker 2: optimist for humanoid robot that can be your your body,
47:32
Speaker 2: like a combination of.
47:33
Speaker 1: R two, D two and C three THEO but better.
47:36
Speaker 2: Yeah, I mean, you know, that's that's I honestly, I
47:38
Speaker 2: think people are gonna get really attached to their humanoid
47:41
Speaker 2: robot because I mean, like you look at sort of
47:43
Speaker 2: watched All Wars and it's like R T, D two
47:45
Speaker 2: and C three.
47:46
Speaker 1: I love those guys. Yeah, you know, they're awesome.
47:50
Speaker 2: And their personality and I mean all R two could
47:54
Speaker 2: do is just bef at. You couldn't speak English in
48:00
Speaker 2: three to translate the beeps you So you're in.
48:03
Speaker 7: Year two of that.
48:04
Speaker 6: If you did two or three years per iteration or something,
48:06
Speaker 6: it's a decade long journey for this to hit some
48:08
Speaker 6: sort of scale.
48:10
Speaker 2: And I would say mid major iterations are less than
48:13
Speaker 2: two years, So it's probably on the order of five
48:18
Speaker 2: five years, yeah, maybe maybe six to get to a
48:23
Speaker 2: million Yearits a year, and.
48:24
Speaker 6: At that price point, everybody could afford one planet Earth.
48:28
Speaker 7: I mean it's going to be that one to one,
48:30
Speaker 7: two to one.
48:30
Speaker 6: What do you think ultimately we're sitting here in thirty years,
48:33
Speaker 6: the number of robots on the planet versus humans.
48:37
Speaker 1: Yeah, I think the number of robots will vastly exceed
48:39
Speaker 1: the normer of humans. Vastly, Yeah, fastly exceed.
48:41
Speaker 2: I mean you have to say, like, who who would
48:43
Speaker 2: not want their robot buddy?
48:46
Speaker 1: Everyone wants to Robert buddy.
48:50
Speaker 2: You know, it's just like especially if you know, you know,
48:55
Speaker 2: it can take care of your take your dog for
48:58
Speaker 2: a walk. It could, you know, mow the lawn. It
49:01
Speaker 2: could watch your kids. It could you know, like you
49:06
Speaker 2: could teach your kids.
49:07
Speaker 1: It could It could.
49:08
Speaker 7: Also send it to Mars.
49:09
Speaker 10: Yeah, we can send a lot of robots to Mars
49:11
Speaker 10: to do the work needed to make a colonized planet.
49:15
Speaker 2: For you, muz Already the robot planet last like the
49:17
Speaker 2: whole bunch of you know, robots like rovers and only helicopter, Yes,
49:21
Speaker 2: only robots.
49:23
Speaker 1: So yeah, the.
49:25
Speaker 2: No, I think the sort of useful humanoid robot opportunity
49:30
Speaker 2: is the single biggest opportunity ever because if you assuem
49:40
Speaker 2: like that. I mean, the ratio of humanoid robots to
49:44
Speaker 2: humans is going to be at least two to one,
49:45
Speaker 2: maybe three to one, because everybody, everybody will want one.
49:49
Speaker 2: And then there will be a bunch of robots that
49:50
Speaker 2: you don't see that are making goods and services.
49:52
Speaker 8: And you think it's a general one generalized robot that
49:55
Speaker 8: then learns how to do different tasks.
49:56
Speaker 2: Or yeah, I mean we are a realized, we're general
50:02
Speaker 2: We're just we're just made of meat, you know. Uh, yeah,
50:08
Speaker 2: I mean operating my meat puppet, you know. So yeah,
50:12
Speaker 2: we are actually and rather, it turns out like as
50:17
Speaker 2: we're designing optimists, we sort of learn more and more
50:19
Speaker 2: about why humans are shaped the way they're shaped, and
50:23
Speaker 2: you know, and why we have five fingers, and why
50:26
Speaker 2: your little finger is smaller than you know, your index finger.
50:30
Speaker 1: You know, you know obviously why you.
50:32
Speaker 2: Have opposable thumbs, but also why, for example, your the muscles,
50:37
Speaker 2: the major muscles that operate your hand are actually in
50:40
Speaker 2: your forearm, and and your fingers are primarily operated like
50:47
Speaker 2: the muscles that actuate your fingers are located. The vast
50:52
Speaker 2: majority of the of the of your finger strength is
50:54
Speaker 2: actually coming from your forearm and your fingers are being
50:57
Speaker 2: operated by tendons. A little strength that that's and so
51:03
Speaker 2: the current version of the Optimist hand has the actuators
51:07
Speaker 2: in the hand and has only eleven degrees of freedom,
51:10
Speaker 2: so it can't it's not as it doesn't have all
51:12
Speaker 2: the degrees of freedom of human hand, which has depending
51:15
Speaker 2: on how you counted, a roughly twenty five degrees of freedom.
51:20
Speaker 2: And and it's also like not strong enough in certain
51:26
Speaker 2: ways because the actuators have to fit in the hand.
51:29
Speaker 2: So the next generation Optimist hand, which we have in
51:32
Speaker 2: prototype form, the actuators have moved to the forearm just
51:37
Speaker 2: like a human, and they operate the fingers through cables
51:41
Speaker 2: just like the human hand. And then the next generation
51:45
Speaker 2: hand has twenty two degrees of freedom, which we think
51:49
Speaker 2: is enough to do almost anything that a human can do.
51:56
Speaker 8: And presumably I think it was written that X and
52:00
Speaker 8: Tesla may work together and you know, provide services. But
52:04
Speaker 8: my immediate thought went to, all, if you just provide
52:06
Speaker 8: a grock to the robot, then the robot has a
52:08
Speaker 8: personality and can process voice and video and images and
52:11
Speaker 8: all of that stuff.
52:12
Speaker 7: So yeah, it's three wrap here.
52:14
Speaker 6: Yeah, I think you know, everybody talks about all the
52:19
Speaker 6: projects you're working on, but people don't know you have
52:22
Speaker 6: a great sense of humor.
52:23
Speaker 1: That's not true. Oh you do.
52:25
Speaker 2: You do.
52:26
Speaker 7: People don't see it.
52:27
Speaker 6: But I would say one I know, for me, the
52:29
Speaker 6: funniest week of my life, but one of the funniest
52:31
Speaker 6: was when you did S and L and we.
52:33
Speaker 7: Got and you I got to tag along. Maybe you
52:36
Speaker 7: saw it, maybe behind.
52:40
Speaker 6: The scenes, like some of your funniest recollections of that chaotic,
52:44
Speaker 6: insane week when we laughed for twelve hours a day.
52:48
Speaker 7: It was a little terrorizing in the first couple of days.
52:50
Speaker 2: But yeah, I was a bit worried at the beginning
52:54
Speaker 2: there because frankly, nothing was funny.
52:58
Speaker 7: Da one was rough up.
53:02
Speaker 1: Yeah. So, I mean, it's like a rule.
53:05
Speaker 8: But can't you guys just say it, Just say the
53:07
Speaker 8: stuff that got on the cutting.
53:10
Speaker 3: The funniest skits were the ones that didn't let you
53:12
Speaker 3: do that.
53:12
Speaker 7: I'm saying a couple of funny ones. Yeah, you can
53:15
Speaker 7: say it so that he doesn't.
53:17
Speaker 1: I mean, how much time do you have here?
53:19
Speaker 7: You just give me one or two because it was
53:22
Speaker 7: in your mind. Which one do we regret most? Not
53:25
Speaker 7: getting on air?
53:28
Speaker 1: Do you really want to hear that?
53:30
Speaker 9: I mean, I mean it was a little spicy, it
53:34
Speaker 9: was a little funny.
53:37
Speaker 1: Okay, here we go, all right, here we go, guys.
53:44
Speaker 1: All right.
53:45
Speaker 2: So one of the things that I think everyone's been
53:49
Speaker 2: sort of wondering this whole time, is Saturday Night Saturday Night.
53:53
Speaker 1: Live actually live, like live, live, live live.
53:58
Speaker 2: Or do they have like a delay or like just
54:01
Speaker 2: in case you know, there's a Warbrobe malfunction or something
54:04
Speaker 2: like that. Is it like a you know, five second delay?
54:08
Speaker 2: What's really going on? But there's a there's a way
54:11
Speaker 2: to test this right away.
54:14
Speaker 1: The way to test this, which is we don't tell
54:18
Speaker 1: them what's going on. As I woke on and said,
54:21
Speaker 1: this is the script I'll throw on the ground.
54:24
Speaker 2: We're going to find out tonight, right now, Saturday Sunday
54:28
Speaker 2: Night Live is actually live. And the way that we're
54:33
Speaker 2: going to do this is I'm going to take my
54:35
Speaker 2: cock out this wait ever, and if if you see
54:47
Speaker 2: my car, you know it's true. And if you don't,
54:54
Speaker 2: it's been a lie all these years.
54:57
Speaker 1: All these years.
54:58
Speaker 7: This is we're going to bust the right now and
55:01
Speaker 7: this we're pitching this.
55:02
Speaker 1: Yeah, yeah, So we're pitching this on zoom putching this.
55:05
Speaker 2: On zoom on on like a Monday after like we're
55:08
Speaker 2: like kind of hungover from the weekend and like pitching
55:10
Speaker 2: this there and and and it's a it's Jason's on
55:15
Speaker 2: and uh yeah and Mike, uh you know, sometimes we
55:19
Speaker 2: got like, you know, my friends I think are sort of,
55:23
Speaker 2: you know, quite funny. You know, Jason is quite funny.
55:27
Speaker 2: I think like, like Jason is the closest thing to
55:29
Speaker 2: Cartman that exists in the world.
55:32
Speaker 9: And we have a joke going like he's butters in
55:35
Speaker 9: our apartment.
55:36
Speaker 1: Yeah. So and my friend Mike's prettly funny too. So
55:43
Speaker 1: so we.
55:44
Speaker 2: We come in like like just like guns blazing, guns
55:47
Speaker 2: blazing with with like ideas and and we didn't realize like, actually,
55:50
Speaker 2: you know, that's not how it works and and and
55:54
Speaker 2: that's that's that's normally like actress and and they just
55:56
Speaker 2: get told what to do and like, oh, well, you
55:58
Speaker 2: mean we can't just like do funny things that we
56:01
Speaker 2: thought of.
56:02
Speaker 6: What they're they're watching this and on the zoom they're
56:05
Speaker 6: a gast pitch.
56:07
Speaker 2: Yeah, it's silence. Like so I'm like and I'm like
56:10
Speaker 2: and I was like, is this thing working is this
56:13
Speaker 2: mute is all.
56:14
Speaker 7: My gone, and they're like, we hear you.
56:16
Speaker 2: And then and then after a long silence, like Mike,
56:19
Speaker 2: Mike just says the word crickets and they're.
56:22
Speaker 13: Not They're gonna not even gonna chuckle.
56:25
Speaker 1: What's going on?
56:26
Speaker 7: Explains the punchline.
56:28
Speaker 1: Which is exactly. So there's more to it.
56:32
Speaker 13: Okay, that's just the beginning, Soon says, so so then
56:39
Speaker 13: I'm so now I'm like so so so I said
56:42
Speaker 13: like I'm gonna, I'm gonna reach down.
56:48
Speaker 1: Into my and in my.
56:50
Speaker 2: Fans and I stuck my hand on my fants and
56:52
Speaker 2: I'm gonna and I'm and I'm gonna pull my talk and.
56:54
Speaker 1: I tell this to the audience, and the audience is
56:55
Speaker 1: gonna be like what.
56:58
Speaker 2: Right, and and and and then and then and then
57:02
Speaker 2: and then I pull out a baby rooster, you know, yes,
57:09
Speaker 2: and it's like, okay, this is kind of PG.
57:11
Speaker 1: You know, it's like that that bad that.
57:14
Speaker 2: This is my tiny cock and and and it's like
57:22
Speaker 2: what do you think? Uh?
57:24
Speaker 1: And do you think it's a nice colock? I mean
57:26
Speaker 1: I like it pitch like.
57:28
Speaker 12: And then Kate McKennon walks out exactly and I'm like,
57:31
Speaker 12: oh no, but you haven't heard half of it. To
57:33
Speaker 12: Kate McKinnon comes out, yeah, and she says, Elon, she
57:36
Speaker 12: has expected you would have a bigger cock.
57:39
Speaker 1: Yeah.
57:40
Speaker 2: It's like I don't mean to just want you, Kate,
57:42
Speaker 2: but yeah, but I hope you like it anyway. And
57:47
Speaker 2: then but Kate's got to come out with with with
57:49
Speaker 2: her cat. Okay, so you see what you see where
57:55
Speaker 2: this is going? And I say, nice, Wow, that's that's
57:58
Speaker 2: a that's a that's a nice see you got there? Okay, wow,
58:03
Speaker 2: that's amazing. It looks a little wet. Was it raining outside?
58:10
Speaker 2: Then do you mind if I stroke your pussy?
58:14
Speaker 1: Is that cool?
58:14
Speaker 2: It's like, oh no, Elon, actually can I hold your cock?
58:20
Speaker 2: Of course, Kate, you will hold my cock, and then
58:24
Speaker 2: you know, we exchange and I think just the audio
58:26
Speaker 2: version of this is pretty good, and you know it's
58:31
Speaker 2: just like, wow, I really like stroking your cock. And
58:36
Speaker 2: I was like, I'm really enjoying stroke at your pussy
58:44
Speaker 2: of course.
58:44
Speaker 1: And yeah, so you know they're.
58:48
Speaker 9: Looking at us like, oh my god, what have we
58:51
Speaker 9: done inviting these lunatics on the program.
58:54
Speaker 2: Yeah, then they said they said, like, well it is
58:58
Speaker 2: it is Mother's day.
59:02
Speaker 9: It's Mother's saying we might not want to go with this.
59:04
Speaker 2: One of mom's an audience, and I'm like, well, that's
59:07
Speaker 2: a good point. Fair, it might be a bit uncomfortable
59:10
Speaker 2: for all the moms and the audience.
59:12
Speaker 1: Maybe I don't know, I don't know.
59:13
Speaker 7: Maybe they'll dig it.
59:13
Speaker 1: They like it.
59:15
Speaker 7: So, yeah, that was that's the that's the that's the
59:22
Speaker 7: that's the cold open. That didn't make it.
59:25
Speaker 6: We didn't get that on the air, but uh we
59:29
Speaker 6: did fight for Doge, yes, and we got Doge.
59:33
Speaker 2: I mean there's a bunch of things that I said
59:34
Speaker 2: that we're just not on the script, like they have
59:35
Speaker 2: these like cue cards we're just supposed to say, and
59:37
Speaker 2: I just didn't say it.
59:38
Speaker 1: I just went off off the rails. Yeah, yeah, it's live.
59:44
Speaker 7: Well that's live.
59:47
Speaker 6: And uh so the Elon wanted to do Doge. This
59:52
Speaker 6: is the other one, and he wanted to do Doge
59:54
Speaker 6: on late night and he says, hey, Jake, al can
59:56
Speaker 6: you make sure.
59:57
Speaker 1: Oh yeah, I want to.
59:58
Speaker 2: I want to do the Doge father, like to redo
1:00:00
Speaker 2: the you know that scene from the Godfather.
1:00:04
Speaker 1: I mean, you kind of need the music to cue
1:00:05
Speaker 1: things up.
1:00:10
Speaker 5: You bring me on my daughter's wedding, but you want
1:00:17
Speaker 5: to exactly, you really got to set the mood to
1:00:20
Speaker 5: get out of tuxedo and this whole sort of office
1:00:23
Speaker 5: in the like Molon Brondo.
1:00:27
Speaker 2: Yeah, you'll calm to me all day of my daughters
1:00:32
Speaker 2: to the wedding.
1:00:35
Speaker 1: And you asked me for your private keys? Are you
1:00:40
Speaker 1: even a friend? You call me the door father?
1:00:46
Speaker 2: So best potential.
1:00:51
Speaker 7: They had great potential.
1:00:52
Speaker 6: So they come to me and I'm I'm talking to
1:00:54
Speaker 6: Colin and Joe, who's got a great sense of human
1:00:58
Speaker 6: he's amazing, who loves you loan And he's like, we
1:01:00
Speaker 6: can't do it because of the law and stuff like that,
1:01:02
Speaker 6: and the law and liability.
1:01:05
Speaker 7: So I said it's okay.
1:01:07
Speaker 6: Elon called Comcast and he put in an offer and they.
1:01:12
Speaker 7: Just accepted it. We just bought NBC, so it's fine. Yeah,
1:01:18
Speaker 7: Colin Joe just looks at me. It's so good and
1:01:21
Speaker 7: he's like, you're you're serious.
1:01:23
Speaker 14: I'm like, yeah, we own NBC now, and he's like, okay,
1:01:29
Speaker 14: well that kind of changes things, doesn't And I'm like, absolutely,
1:01:32
Speaker 14: where a go on, doge And then he's like, you're
1:01:35
Speaker 14: fucking with me.
1:01:41
Speaker 9: It was the greatest week of that, like is like
1:01:45
Speaker 9: two of ten stories. Yeah, we'll see the other eight,
1:01:50
Speaker 9: but it was, and I was just so happy for
1:01:52
Speaker 9: you to see you have a great week of just
1:01:56
Speaker 9: joy and fun and letting go because you were launching rockets,
1:01:59
Speaker 9: You're dealing with so much. To have those moments, to
1:02:02
Speaker 9: share them and just laugh, it was just so great.
1:02:05
Speaker 7: More of those moments. I think we gotta we gotta
1:02:08
Speaker 7: get you back on SNL.
1:02:09
Speaker 9: Who wants them back on SNL one more time? All right,
1:02:12
Speaker 9: ladies and gentlemen, our best eat you on mus