SPEAKER_08: I'm going to take this. All right. Thanks for taking the time.

SPEAKER_17: How are you doing, brother? You keeping busy?

SPEAKER_21: Yeah.

SPEAKER_22: I mean, it's rarely a slow week.

SPEAKER_26: I mean, in the world as well.

SPEAKER_29: Yeah.

SPEAKER_26: I mean, any given week, it just seems like the thing's getting out of here.

SPEAKER_29: It's definitely a simulation. We've agreed on this at this point.

SPEAKER_26: I mean, look, if we are in some alien Netflix series, I think the ratings are high.

SPEAKER_34: Yes. The ratings are high.

SPEAKER_37: How are the freedom of speech wars going? This is a, you've been at war for two years now.

SPEAKER_39: Yes.

SPEAKER_37: The price of freedom of speech is not cheap, is it?

SPEAKER_40: I think it's like 44 billion, something like that.

SPEAKER_37: Just round numbers.

SPEAKER_43: Give or take a billion.

SPEAKER_44: Yeah, round numbers. Yeah. It's pretty nutty. There is like this weird movement to quell free speech kind of around the world.

SPEAKER_45: And this is something we should be very concerned about.

SPEAKER_46: You know, you have to ask, like, why was the First Amendment, like, a high priority? It was like number one. Number one.

SPEAKER_45: It's because people came from countries where if you spoke freely, you would be imprisoned or killed. And they were like, well, we'd like to not have that here. Because that was terrible. Yeah. And actually, you know, there's a lot of places in the world right now, if you're critical of the government, you get imprisoned or killed.

SPEAKER_52: Right.

SPEAKER_55: Yeah.

SPEAKER_54: We'd like to not have that.

SPEAKER_58: Are you concerned?

SPEAKER_55: Do you want to add to that? Yeah.

SPEAKER_58: I mean, I suspect this is a receptive audience to that message. Yeah.

SPEAKER_66: You know, I think we always thought that the West was the exception to that, that we knew

SPEAKER_71: there were authoritarian places around the world, but we thought that in the West, we'd have freedom of speech. And we've seen, like you said, it seems like a global movement. In Britain, you've got teenagers being put in prison for memes. Yes.

SPEAKER_73: It's like you like to Facebook post. So you can throw them in the prison. Yeah.

SPEAKER_45: It's like people have got an actual, you know, prison for like obscure comments on social media.

SPEAKER_78: Not even shitposting yet. Like not even. Yeah. It's crazy. I mean, like Pavel got thrown in prison recently.

SPEAKER_79: I'm like, that was pretty shook about that. I was like, what is the massive crime?

SPEAKER_81: Right. Pavel in France.

David Sacks: And then, of course, we got Brazil with Judge Voldemort. That one seems like the one that impacts you the most. Can you, what's the latest on that?

SPEAKER_45: Well, we, I guess we are trying to figure out, is there some reasonable solution in Brazil?

SPEAKER_85: Well, the, you know, the concern, I mean, I want to just make sure that this is framed correctly. And, you know, funny memes aside, the nature of the concern was that, at least at X Corp,

SPEAKER_46: we had the perception that we were being asked to do things that violated Brazilian law. So, obviously, we cannot, as an American company, impose American laws and values on other countries that, you know, we wouldn't get very far if we did that. But we do, you know, think that if a country's laws are a particular way, and we're being asked to, what we think we're being asked to break them, then, and be silent about it, then obviously

SPEAKER_45: that is no good. So, I just want to be clear, because this sometimes comes across as Elon's trying to just be a crazy, whatever, billionaire, and demand outrageous things from other countries.

SPEAKER_94: And, you know, while that is true, in addition, there are other things that are,

SPEAKER_46: I think are, you know, valid, which is like, we obviously can't, you know, I think any given

SPEAKER_45: thing that we do at X Corp, we've got to be able to explain in the light of day and not feel that it was dishonorable or, you know, we did the wrong thing, you know.

SPEAKER_46: So, we don't, we, that, that, that, that was the, that, that's the nature of the concern. So, we actually are in sort of discussions with the, you know, judicial authorities in Brazil to try to, you know, run this to ground.

SPEAKER_45: Like, what's actually going on? Like, if we're being asked to break the law, Brazilian law, then that's, that, that obviously should not be, should not sit well with the Brazilian judiciary. And if we're not, and we're mistaken, we'd like to understand how we're mistaken.

SPEAKER_46: I think that's a, that's a pretty reasonable position.

SPEAKER_101: I'm a bit concerned as your friend that you're going to go to one of these countries and I'm going to wake up one day and you're going to get arrested and like, I'm going to have to go bail you out or something. Like, this is, feels very acute. Like, I mean, it's not a joke now. Like, they're literally saying like, you know, it's not just Biden saying like, we have to look into that guy. Now it's become quite literal, like this, I don't know, who was the guy who just wrote

SPEAKER_105: the, um, was it the guardian piece about like, Oh yeah. Yeah.

SPEAKER_106: There, there, there have been three articles and I think in the past three weeks, Robert

SPEAKER_91: Reich, but it wasn't just him. It was three different articles.

SPEAKER_109: It doesn't, that's a trend calling for me to be imprisoned in the, in the guardian, you know, guardian of what?

SPEAKER_113: Yeah, guardian of, uh, yeah, censorship, censorship, but the premise here is that you bought this

SPEAKER_117: thing, this online forum, this communication platform, and you're allowing people to use

SPEAKER_101: it to express themselves. Therefore you have to be jailed. I don't understand the logic here. Right. Um, there's, what do you think they're actually afraid of at this point?

SPEAKER_121: What's the motivation here? Well, I mean, I think the, the, if somebody is afraid, if somebody is sort of trying to push a false premise on the world, then, and then that, that, and that premise can be undermined

SPEAKER_106: with public dialogue, then they will be opposed to public dialogue on that premise because they wish that false premise to prevail. Right.

SPEAKER_125: Um, so that's, I think, you know, the, the, the, the issue there is, uh, if they don't

SPEAKER_45: like the truth, uh, you know, then we want to suppress it. So now the, the, you know, the, the, the sort of the, what, what we're trying to do with X Corp, uh, is, uh, I distinguish that from my son, who's also called X.

SPEAKER_126: Uh, you have, you have parental goals and then you have goals for the company.

SPEAKER_54: Everything's just called X basically. It's very difficult disambiguation.

SPEAKER_127: The car, the sun. Yeah.

SPEAKER_54: It's X everything.

SPEAKER_129: Um, so, uh, what we're, we're, we're trying to do is simply adhere to the, uh, you know, the, the laws in a, in a country.

SPEAKER_45: Um, so, so if something is illegal in the United States or if it's illegal in, you know, Europe or Brazil or, or wherever it might be, uh, then, then we will take it down and we'll suspend the account because we're not, you know, there to make the laws. We, but, but, but if speech is not illegal, then, then what are we doing? Okay. Now we're injecting ourselves in as, as a sensor and, and where does it stop and who decides?

SPEAKER_85: So, and where, where does that path lead? I think it leads to a bad place.

SPEAKER_45: Uh, so if, if the people in a country want the laws to be different, they should make the laws different, but otherwise we're going to obey the law in each jurisdiction.

SPEAKER_130: Right. And some of these European.

SPEAKER_132: That's, that's it. It's, it's not more complicated than that. We're not, we're not trying to flout the law. I'm going to be clear about that. We're, we're, we're, we're trying to adhere to the law. And if the laws change, we will change. And if, if the laws don't change, we, we won't. We're just literally trying to adhere to the law.

SPEAKER_133: It's pretty, pretty straightforward. There are some European. It's very straightforward.

SPEAKER_134: And if somebody isn't, thinks we're not adhering to law, well, they can file a lawsuit. Bingo.

SPEAKER_135: Also very straightforward. Yes. I mean, there are European countries that don't want people to promote Nazi propaganda.

SPEAKER_136: Yes.

SPEAKER_135: They have some sensitivity to it.

SPEAKER_136: Well, it's, it is illegal. It is illegal in those countries. Yes, it is legal.

SPEAKER_135: And in those countries, if somebody puts that up, you take it down.

SPEAKER_137: Yes. But they typically file something and say, team, it's down.

SPEAKER_125: No, it's, in some cases, it is just, um, obviously illegal. Like, you don't need to file a lawsuit for, you know, if something is just, you know, unequivocally

SPEAKER_45: illegal, we can literally read the law. This violates the law. You know, anyone, anyone can see that. Like, you, you, you know, you don't need, like, if, if, if somebody is stealing, you don't need, let me check the law on that. Yeah. Okay. Oh, no, they're, they're stealing stuff. Let's talk about it.

SPEAKER_143: So we had, we had JD Vance here this morning. He did a great job. Um, and, you know, one of the things is there's this image on X of like, basically like you,

SPEAKER_148: Bobby, uh, Trump and JD are like the Avengers, I guess. And then there's another meme where you're in front of a desk where it says D-O-G-E, the

Chamath Palihapitiya: Department of Governmental Efficiency.

SPEAKER_154: Yes. Yes. I posted that one. Tell us about it. I made, I made it using Grok, uh, the Grok image, image, image generator.

SPEAKER_160: And, and I posted it. Tell us about the. I printed it to my profile.

SPEAKER_162: See for efficiency. Um. How, how do you do it?

SPEAKER_45: Well, I, I mean, I, I, I think with great difficulty, uh, but you know, look, it's, it's been a long time since there was a serious effort to reduce the size of government and to, um, remove absurd regulations. Yeah. And, you know, last time there was a really concerted effort on that front was Reagan in the early eighties.

SPEAKER_46: So we're 40 years away from, um, a, a, a, a, a serious effort to remove, um, you know,

SPEAKER_45: not regulations that don't serve the greater good and, and reduce the size of government. And I think it's just, if, if we don't do that, then what's, what, what's happening is

SPEAKER_85: that we get regulations and laws accumulating every year until eventually everything's illegal. Uh, and that's why we can't get, uh, major infrastructure projects done in the United States.

SPEAKER_46: Like, if you look at the absurdity of the, uh, California high-speed rail, I think they, they've spent seven billion dollars and have a 1,600-foot segment that doesn't actually have rail in it. I mean, your tax dollars at work, I mean, that's an expensive 16-hour feet of concrete, you know, um, and, and I mean, I think it's like if, you know, uh, I realize sometimes

SPEAKER_45: I'm perhaps a little optimistic with schedules, but, uh, you know, and I, I mean, I, I wouldn't

SPEAKER_85: be doing the things I'm doing if I was, uh, you know, not an, an optimist. Uh, so, but, but, but, but, but, but, but at the current trend, you know, California high-speed

SPEAKER_166: rail might finish sometime next century. Maybe. Well, probably not.

SPEAKER_169: We'll have teleportation by that time.

SPEAKER_166: Yeah, exactly.

SPEAKER_85: We'll just have, uh, AI do everything at that point. So, so, so, so, so, so you, I, I think you really think of, um, you know, the, the United

SPEAKER_45: States and many countries, it's, it's, uh, arguably worse than the EU as being like Gulliver tied down by a million little strings. And like any one given regulation is not, is not that bad, but you've got a million of them and, um, or millions actually, and, and then eventually you just can't get anything done. And, uh, and this is a, this is a massive tax on the, on the consumer, on the people. Uh, it's just, they don't, they don't realize that there's this, this massive tax in the form of irrational regulations. Um, I'm going to give you a, a recent, uh, example that, uh, you know, is, is just insane. Um, is that, uh, like SpaceX was fined by the EPA $140,000 for, um, they claimed dumping, uh, potable water on the ground, uh, drinking water. So, and we're like, uh, this is at Starbase. And, and we're like, it's, we're in a truck, tropical, uh, thunderstorm region. Um, that stuff comes from the sky all the time and, um, and there was no actual harm done, you know, it was just water to cool the, the, the launch pad during, uh, liftoff and, um, there's zero harm done. Like, and they're like, they agree, yes, there's zero harm done. And we're like, okay, so there's no harm done. And, um, but you want us to pay a $140,000 fine. It's like, yes, cause you didn't have a permit. Okay. We didn't know there was a permit needed for zero harm, fresh water being on the ground. In a place that where fresh water falls from the sky all the time, next to the ocean.

SPEAKER_177: Next to the ocean. Cause there's a little bit of water there too.

SPEAKER_176: Yeah. I mean, it's hard to rain so much, the, the roads are flooded. So we're like, you know, how does this make any sense?

SPEAKER_178: Yeah.

SPEAKER_45: And, and then like, then they were like, well, we're not going to process any more of your,

SPEAKER_46: any more of your applications for launch for Starship launch, unless you pay this $140,000. So they just ransomed us and we're like, okay, so we've paid $140,000, but it was a

SPEAKER_180: little, it's like, this is no good. I mean, at this rate, we're never going to get to Mars.

SPEAKER_182: I mean, that's the, that's the confounding part here is we're acting against our own self-interest.

SPEAKER_135: You know, when you look at, we do have to make putting aside fresh water, but Hey, you know, there, the rocket makes a lot of noise.

SPEAKER_101: So I'm, I'm certain there's some complaints about noise once in a while, but sometimes you want to have a party where you want to make progress and there's a little bit of noise. Therefore, you know, we, we trade off a little bit of noise for massive progress or even fun. So when did we stop being able to make those trade offs, but talk about the difference between California and Texas, um, where you and I now reside, um, Texas. You were able to build the gigafactory. I remember when you got the plot of land and then it seemed like it was less than two years when you had the party to open it.

SPEAKER_185: Yeah.

SPEAKER_166: From, from start of construction, um, to completion, uh, was 14 months, 14, 14 months.

SPEAKER_186: Is there anywhere on the planet that would go faster? Is like China faster than that?

SPEAKER_187: Uh, China was 11 months.

SPEAKER_105: Got it. So Texas, China, 11 and 14 months, California, how many months?

SPEAKER_129: And just to give you a sense of size, the, our Tesla gigafactory in China is three times the size of the Pentagon.

SPEAKER_189: Which was the biggest building in America?

SPEAKER_166: Uh, no, there were bigger buildings, but the Pentagon is a pretty big one.

SPEAKER_189: Yeah.

SPEAKER_166: Or it was the biggest at the time. In units, in units of Pentagon, it's like three.

SPEAKER_190: Okay. Three pentagons and counting. Yeah. Got it.

SPEAKER_166: In 14 months, um, the, just the, just the regulatory approvals in California would have taken

SPEAKER_35: two years. Yeah. So that's, that's the issue.

SPEAKER_148: Where, where, where do you think the regulation helps? Like for the people that will say, we need some checks and balances. We can't have some, because for every good actor like you, there'll be a bad actor.

SPEAKER_196: So where is that line then?

SPEAKER_195: Yeah. I mean, I haven't, uh, sort of, uh, you know, uh, in, in, in, in sort of doing sensible deregulation

SPEAKER_45: and, um, reduction in the size of government is, is just like, be very public about it and say like, which of these rules do you, if, if the public is really excited about a rule and wants to keep it, we'll just keep it. Yeah. And, and here, the thing about the rules, if, if like, if the rule is, um, you know, turns out to be a bad, we'll just put it right back. Okay. And then, you know, problem solved. It's like, it's easy to add rules, but we don't actually have a process for getting rid of them.

SPEAKER_198: That's the issue. There's no garbage collection for rules.

SPEAKER_135: When we were watching you work, David and I, and Antonio, um, in that first month at Twitter, which was all hands on deck and you were doing zero based budgeting, you really quickly got

SPEAKER_137: the costs under control. And then miraculously, everybody said this site will go down and you added 50 more features.

SPEAKER_204: So maybe explain, cause this is the first time. There were like so many articles like the, that this, this is, Twitter is dead forever.

SPEAKER_125: There's no way it could possibly even continue at all.

SPEAKER_207: It was almost like the press was rooting for you to fail.

SPEAKER_125: Let's write the obituary.

SPEAKER_71: Like here's the obituary, uh, saying their goodbyes on Twitter. Remember that? Yeah. Yeah. Yeah.

SPEAKER_210: They were all leaving and saying their goodbyes cause the site was going to melt down and

SPEAKER_135: totally fail and, uh, all the journalists left, which is, if you ever want to like hang out with a bunch of hall monitors, Oh my God. Threads is amazing. Every time I go over there and post, they're like big, they're really triggered.

SPEAKER_125: But yeah, I mean, if you like being condemned repeatedly, then yes, you know, for reasons that make no sense, then threads is the way to go.

SPEAKER_219: Yeah. It's really, it's, it's the most miserable place on earth. If Disney's the happiest, this is the anti Disney.

SPEAKER_101: But if we were to go into government, you went into the department of education or pick the department. You've worked with a lot of them actually. You can't go in there and zero based budget. Okay. We get it.

SPEAKER_225: But if you could just pair two, three, four or 5% of those organizations, what kind of impact would that have? Yeah.

SPEAKER_227: I mean, I think we'd need to do more than that.

SPEAKER_101: I think. Ideally. Yeah. Compounding every year, two or 3% a year. I mean, it would be better than what's happening now.

SPEAKER_129: Yeah. I look, I think we've, we've, um, you know, uh, if, if Trump wins and, and I'll say this,

SPEAKER_45: this, this, I suspect there are people with mixed feelings about whether that should happen,

SPEAKER_46: but, uh, but if, but we do have an opportunity, uh, to do kind of a once in life, time deregulation and reduction in the size of government. Um, because, because the other thing besides the regulations, um, America is also going

SPEAKER_45: bankrupt extremely quickly. Um, and, and nobody seems to, everyone seems to be sort of whistling past the graveyard on this one.

SPEAKER_237: Um, but they're all, they're all grabbing the silverware. Everyone's stuff in their pockets of the silverware before this Titanic sinks.

SPEAKER_85: Well, you know, the, the defense department budget is a very big budget. Okay. It's a trillion dollars a year. DoD Intel, it's a trillion dollars. Um, and interest payments on the national debt just exceeded the defense department budget, but they're over a trillion dollars a year, just in interest and rising.

SPEAKER_45: We're, we're adding a trillion dollars to the net, to our debt, which our, you know, kids and grandkids are going to have to pay somehow, um, you know, every, every three months.

SPEAKER_166: And then soon it's going to be every two months and then every month. Um, and then the only thing we'll be able to pay is interest. Yeah.

SPEAKER_85: And, and if, if this is, it's just, you know, that it's just like a person at scale that has racked up too much credit card debt. Um, and, uh, this, this, this is not, this does not have a good ending. Um, and so, so we, we have to reduce the spending.

SPEAKER_236: Let me ask one question. Cause I've brought this up a lot and the counter argument I hear, which I disagree with. The counter argument I hear from a lot of politicians is if we reduce spending, cause right now, if you add up federal state and local government spending, it's between 40 and 50% of GDP. So nearly half of our economy is supported by government spending. And nearly half of people in the United States are dependent directly or indirectly on government checks. And, uh, either through contractors, uh, that, that the government pays or they're employed by government, um, entity. So if you go in and you take too hard an ax too fast, you will have significant contraction, job loss and recession. What's the balancing act, Elon? Just thinking realistically, cause I'm a hundred percent on board with you, the steps, the next set of steps, however, assume Trump wins and you become the, the, the, the chief, uh, DOGE, um, uh, DOGE, uh, DOGE, uh, DOGE, uh, DOGE.

SPEAKER_241: Yeah. How, how, how, how, how, how, how, how, how, yeah. And I think the challenge is how quickly can we, yeah. How quickly can we go in? How quickly can things change? How quickly can things change? And without, without, without, without, without, without.

SPEAKER_249: I'll have that on my business card. Yeah.

SPEAKER_252: Without all the, without all the contraction and job loss. Yeah.

SPEAKER_236: Yeah. So, so I guess, how do you really address it when so much of the economy and so many people's jobs and livelihoods are dependent on government spending?

SPEAKER_106: Well, I mean, I, I, I do think it's, it's, it's sort of, um, you know, it's, it's false dichotomy. It's not like no government spending is going to happen. Um, you really have to say like, it's at the right level.

SPEAKER_85: Um, and, and just remember that, that, you know, any, any given person, if they are doing things in a less efficient organization versus a more efficient organization, their contribution to the economy, their net output of goods and services will, will reduce. Um, I mean, you've got a couple of clear examples between, uh, East Germany and West Germany, North Korea and South Korea.

SPEAKER_125: Um, I mean, North Korea, they're starving, uh, South Korea. It's like amazing. It's the future.

SPEAKER_248: It's the compounding effect of productivity gains. Yeah.

SPEAKER_85: Yeah. It's night and day. Um, and so in the North, North Korea, you've got a hundred percent government. Um, in the, in South Korea, you've got probably, I don't know, 40% government. It's not zero. Yeah. Um, and yet you've got a standard of living that is probably 10 times higher in South Korea. At least. Exactly. Um, uh, and then East and West Germany, um, in West Germany, uh, you, you had just thinking in terms of cars. I mean, you had BMW, Porsche, Audi, Mercedes, um, and, and East Germany, which is a random

SPEAKER_106: line on a map. Um, you, you, the, the car, the only car you could get was a, a Trabant, which is basically a lawnmower with a shell on it. Um, and, uh, it was extremely unsafe. Uh, you, you, there was a 20 year wait. So you like, you know, put your kid on the list as soon as they're conceived. Um, and, and even then only, I think, um, you know, a quarter of people maybe got, got this

SPEAKER_85: lousy car. And it's just the same. It's so, so that's just an interesting example of like basically the same people, different operating system. Yeah. And, and, and it's not like what, uh, West Germany was some, you know, you know, a capitalist, uh, Hey, heaven. It was, it's quite socialist actually. So, uh, so when you look at it, you know, probably it was half, half government in West Germany and a hundred percent government in East Germany. And again, it's sort of a, a five suit. I'd like to call it a, I'd call it at least a five to 10 X standard of living difference. And, and even qualitatively vastly better. And, and it's obviously, you know, sometimes people have these. Amazingly in this modern era, this debate as to which system is better.

SPEAKER_166: Well, I'll tell you which system is better. Um, the one that doesn't need to build the world, keep people in. Okay.

SPEAKER_274: That's, that's how you can tell.

SPEAKER_275: Okay. Yeah. It's a dead giveaway. Spoiler alert. Dead giveaway.

SPEAKER_276: Are they climbing the wall to get out or come in?

SPEAKER_166: Dead giveaway is you have to keep, build a barrier to keep people in. That is the bad system.

SPEAKER_176: Um, it wasn't West, West Berlin that built the wall. Okay. They were like, you know, anyone who wants to flee West Berlin, go ahead. Um, speaking of walls.

SPEAKER_166: So, you know, and, and, and if you look at sort of the flux of boats from Cuba, there's a large number of boats from Cuba and there's a bunch of free boats that you, anyone can take to, to, to go back to Cuba. They're empty on the way back. Yeah. Plenty of seats. There's like, Hey, wow. An abandoned boat. I could use this boat to go to Cuba where they have communism. Awesome. Yes. Um, and, and, and yet nobody, nobody picks up those boats and does it. Amazing. Um, so. He's given this a lot of thought.

SPEAKER_236: Yeah. Wait, so your point is jobs will be created. If we cut government spending in half, jobs will be created fast enough to make up for, right.

SPEAKER_288: Just to count. Yeah. Obviously, you know, I'm not suggesting that, that people, you know, um, had like immediately

SPEAKER_45: turped, you know, tossed out with, with no severance and, and, you know, can't, could not, can't pay their mortgage. Then you see some reasonable off ramp, uh, where yeah. Yeah. Um, so reasonable off ramp where, you know, they're still, um, you know, earning it. They're still receiving money, but have like, I don't know, a year or two to, to find,

SPEAKER_106: to find jobs in the private sector, which they will find.

SPEAKER_85: And then there will be in a different operating system. Um, again, you can see the difference. East Germany was incorporated into West Germany. Living standards in East Germany, uh, rose dramatically.

SPEAKER_105: Um, so in four years, if you could shrink the side, the size of the government with

SPEAKER_293: Trump, what would be a good target just in terms of like ballpark?

SPEAKER_295: I mean, are you trying to get me assassinated before this even happens? No, no.

SPEAKER_300: Pick a loan number.

SPEAKER_299: I mean, you know, there's that old phrase, go postal. I mean, it was like, they might.

SPEAKER_300: Yeah.

SPEAKER_301: So we'll keep the post office.

SPEAKER_176: I mean, I'm going to need a whole lot of security details guys. Yes. Um, the, uh, the sheer number of disgruntled workers for, former government employees is,

SPEAKER_303: you know, quite a scary number. I mean, I might not make it, you know, I was saying low cut low digits every year for

SPEAKER_182: four years would be palatable. Yeah. Yeah.

SPEAKER_303: And I like, but the thing is that if it's, if it's not done, uh, like if you have a once, once in a lifetime or once in a generation opportunity and you don't take serious action and, and then you have four years to get it done.

SPEAKER_106: And then if it doesn't get done, then how serious is Trump about this?

SPEAKER_307: Like you've talked to him about it. Yeah. Yeah.

SPEAKER_85: He's serious. He is very serious about it. Got it. Um, and no, I think actually the reality is that if we get rid of nonsense regulations and shift people from the government sector to the private sector, we will have immense prosperity. Um, and, and I think we'll have a golden age in this country and it'll be fantastic.

SPEAKER_316: Yeah. Can we talk about space? Um, you have a bunch of critical milestones coming up.

SPEAKER_129: Um, yeah. In fact, uh, this an important, a very exciting launch, um, that, uh, is maybe happening tonight.

SPEAKER_46: So if that, if the weather is, is holding up, then I'm going to leave here, head to Cape 4, uh, for the, um, the, the Polaris Dawn mission, which is a private mission. So funded by Jared, um, Jared Isaacman and he's, um, awesome guy. And, and there, this will be the first time, uh, the first private, the first, first commercial for space walk. Um, and, and it'll be at the highest altitude, uh, since Apollo. So it's the furthest from earth that anyone's gone. Um, yeah.

SPEAKER_323: And you, you know, what comes after that? Let's assume that's successful. I sure hope so, man.

SPEAKER_328: Um, no pressure.

SPEAKER_46: Um, yeah, we're, you know, absolutely, you know, astronaut prior, astronaut safety is,

SPEAKER_220: man, if I had like all the, all the wishes I could say about that, I'd be the one to, to put it on. So, you know, space is dangerous. Um, so the, the, yeah, I mean, the, the next milestone after that would be.

SPEAKER_44: The next flight of starship, um, which, um, you know, starship is, the next flight starship

SPEAKER_45: is ready to fly. We are waiting for regulatory approval.

SPEAKER_271: You know, it, it, it, it really should not be possible to build a giant rocket faster

SPEAKER_299: than the paper can move from one desk to another. Really hard.

SPEAKER_336: Approved. Yeah. You ever see that movie Zootopia?

SPEAKER_341: Approved. You ever see that movie Zootopia? There's like a sloth. Yeah. He's coming in for the approval. Yeah. Yeah. They accidentally tell a joke and I was like, Oh no, this is going to take a long time.

SPEAKER_344: Um, but yeah, Zootopia, you know, if I, you know, the funny thing is like, so I went to

SPEAKER_303: the DMV, uh, about, I don't know, a year later after Zootopia and to get my license renewal.

SPEAKER_125: And the guy in an, in an exercise of incredible self-awareness had the sloth from Zootopia in

SPEAKER_227: his, um, in his cube and he was actually swift. Yeah.

SPEAKER_354: With that, with the mandate, beat the sloth. Yeah. Yeah.

SPEAKER_26: No, I mean, sometimes people like think the, you know, the government is, um,

SPEAKER_106: more competent than it, than it is. I'm not saying that there aren't competent people in the government.

SPEAKER_45: They're just in an operating system that is inefficient. Um, once you move them to a more efficient operating system, they, their output is dramatically greater as we've seen, example, you know, when East Germany was reintegrated to into with West Germany and, and, and the same people, um, were vastly more prosperous, uh,

SPEAKER_106: with a basically half capitalist, uh, operating system. So, um, but I mean, for a lot of people live there, like the, maybe most direct experience with the government is the DMV.

SPEAKER_85: Um, and, and, and then the important thing to remember is that the government is the DMV at scale.

SPEAKER_357: Right. That's the government. Got the mental picture. How much do you want to scale it? Yeah.

SPEAKER_248: Yeah. Sorry.

SPEAKER_236: I'm asking you to ask, um, uh, question on starch. So you, you announced just the other day, starship going to Mars in two years and by the way,

SPEAKER_362: Oh yeah.

SPEAKER_236: Yeah. Yeah. Yeah. Yeah. And then, uh, four years for crude, uh, aspirational launch, uh, and how much is the government

SPEAKER_363: involved?

SPEAKER_106: I don't, I'm not saying like, say you watch by these, not, you know, uh, but these, uh,

SPEAKER_85: but it based on our current progress where with starship, we were able to successfully reach

SPEAKER_46: oval velocity twice. Uh, we were able to achieve soft landings of the booster and the ship and water. Uh, and that's despite the ship having, you know, half its flaps cooked off. Um, you can see the video on the X platform. It's quite exciting.

SPEAKER_106: Um, so, you know, we, we, we, we think we'll be able to have to, to launch reliably and repeatedly and quite quickly. Um, and the, the, the fundamental Holy grail breakthrough for rocketry for what the fundamental

SPEAKER_125: breakthrough that is needed for life to become multi-planetary is a rapidly reusable, reliable rocket.

SPEAKER_132: Or, or, or, or, or. With a pirate somehow. Um, throw a pirate in there.

SPEAKER_85: Um, the, so with starship is the first rocket design. Um, where success is one of the possible outcomes with full reusability. Um, so for, you know, for any given project, you have to say, this is the circle to write Venn diagram. Um, here's a circle and it is success. The success dot in the circle, um, is, is success in the set of possible outcomes. That's, uh, you know, sounds pretty obvious, but there are often projects where that, that is success is not in the set of possible outcomes.

SPEAKER_46: Um, and so, so starship not only is fully full reusability in the set of possible outcomes, it is being proven with each launch. Um, and, and, and, uh, I'm confident it will succeed. It's simply a matter of time. Um, and, you know, if, if, if we can get some improvement in the speed of regulation, we, we could actually move a lot faster. Um, uh, so that would, that would be very helpful. And, and in fact, if, if this, if not, if something isn't done about, um, reducing regulation and, and sort of speeding up approvals and to be clear, I'm not talking about anything unsafe.

SPEAKER_85: It's simply the processing of the safe thing can be done at a, as, as fast as the rocket is built, not slower than, uh, then, then we could become a space bearing civilization and a multi-planet species ultimate and, and be out there among the stars in the future.

SPEAKER_368: And there's, you know, it's, it's, it's just very like, it's incredibly important that we have things that, that we find inspiring that you look to the future and say, the future is going to be better than the past. Things to look forward to. And like, like kids are a good, a good way to assess this.

SPEAKER_96: Like what are kids fired up about?

SPEAKER_45: And if you could say, you know, you, you could, you know, you could be an astronaut on Mars. You could maybe one day, uh, go beyond the solar system.

SPEAKER_231: Um, we could make Star Trek, Starfleet Academy real. Um, that is an exciting future. That is inspiring.

SPEAKER_369: Um, you know, you just, I mean, you need things that move your heart. Right. Um. Yeah.

SPEAKER_372: Fuck yeah. Yeah.

SPEAKER_375: I mean. Like, like life can't just be about solving one miserable problem after another.

SPEAKER_377: Right. There's gotta be things that you look forward to as well.

SPEAKER_101: Yeah. Uh, and, and do you, do you think you might have to move it to a different jurisdiction and to, and to move faster? I've always wondered if like.

SPEAKER_380: It's rocket technology is considered an advanced weapons technology. So we can't just go do it, you know, in another country. Yes.

SPEAKER_101: In it. Yeah. Interesting. And if we don't do it, other countries could do it. I mean, they're so far behind us, but theoretically there is a national security, you know, justification here. If, if somebody can put their thinking caps on, like, do we want to have this technology that you're building? The team's working so hard on stolen by other countries. And then, you know, maybe they don't have as much red tape.

SPEAKER_385: I wish people were trying to steal it.

SPEAKER_220: Um, so that no, no one's trying to steal it. It's just too, it's just too, it's too crazy basically.

SPEAKER_387: Yeah. Um. And that's for you.

SPEAKER_388: Yeah. It's way too crazy.

SPEAKER_148: Yeah. What do you think, um, is going on that led to Boeing building the Star Line the way that they did? They were able to get it up.

SPEAKER_393: But not complete.

SPEAKER_148: But can't complete.

SPEAKER_393: They can't finish.

SPEAKER_394: Can't finish. I don't understand. And now you're going to have to go up and finish.

SPEAKER_45: Um, um, well, I mean, I think Boeing is a company that is, they actually do so much business with the government. They have sort of impedance match to the government.

SPEAKER_46: So they're, they're like basically one notch away from the government. Maybe two. They're not far from the government from an efficiency standpoint, because they derive so much of the revenue from the government. Um, a lot of people think, well, SpaceX is super dependent on the government. And I actually know most of our revenue is commercial.

SPEAKER_132: Um, so, um, and, and, and, and there's been, I think at least up until perhaps recently,

SPEAKER_46: because then I have a new CEO who actually shows up in the factory. Yeah. Um, and the, the, the CEO before that, I think had a degree in accounting and never went to the factory and didn't know how airplanes flew.

SPEAKER_166: Um, so I think if you are in charge of a company that makes airplanes fly and, uh, spacecraft go

SPEAKER_91: to orbit, then it can't be a total mystery as to how they work. Yeah.

SPEAKER_45: So, you know, I'm like, sure if somebody is like running Coke or Pepsi and they're like great at marketing or whatever, um, that's, that's fine.

SPEAKER_46: Cause it was, you know, it's, it's not, it's not a sort of technology dependent business. Um, you know, or if they're running a, you know, financial consulting and their degrees and accounting, that makes sense. Um, but I think, uh, you know, if, if you're gonna, if you're the cavalry captain, you should know how to ride a horse. Pretty basic.

SPEAKER_404: Yeah. Yeah.

SPEAKER_58: It's like, it's disconcerting if the cavalry captain just falls off the horse, you know? He's not gonna inspire the team. I'm sorry.

SPEAKER_275: I'm scared of horses. Gets on backwards. I'm like, oops.

David Sacks: Um, shifting gears to AI. Uh, Peter was here earlier and he was talking about how so far the only company to really

SPEAKER_71: make money off AI is Nvidia with the chips. Um, do you have a sense yet of where you think the big applications will be from AI? Is it gonna be an enabling self-driving? Is it gonna be enabling robots? Is it transforming industries?

David Sacks: I mean, it's still, I think early in terms of where the big business impact is gonna be. Do you have a sense yet?

SPEAKER_413: I mean, I think, I think the, the, the, the spending on AI probably runs ahead of, I mean,

SPEAKER_46: does run ahead of the revenue right now. That's, there's no question about that. Um, but the rate of improvement of AI is faster than any technology I've ever seen by far.

SPEAKER_166: And, and, and it's, I mean, like the, the, the, for example, a Turing test used to be a thing. Now, you know, your basic, uh, open source, random LLM, you're writing on a frigging raspberry pi probably could, uh, you know, be the Turing test.

SPEAKER_45: Um, so there's, I, I, I think actually, like the, the, the good future of AI is one of immense prosperity,

SPEAKER_46: where there is an age of abundance, no shortage of goods and services. Everyone can have whatever they want unless, except for things we artificially define to be scarce, like some special artwork. Um, but, but anything that is a manufactured good or provided service, uh, will, I think, with the advent of AI plus robotics, that the cost of goods and services will be, will trend to zero. Like, I'm not saying it'd be actually zero, but it'll be everything. Everyone will be able to have anything they want.

SPEAKER_166: Uh, that's, that's the good future. Of course. And I, you know, in my view, that's probably 80% likely. So look on the bright side.

SPEAKER_81: Only 20%, 20% probability of annihilation. It's nothing. Um, is the, is the 20% like, what does that look like? I don't know, man.

SPEAKER_85: I mean, frankly, I do have to go engage in some degree of, of deliberate suspension of disbelief with respect to AI in order to sleep well.

SPEAKER_45: Um, and even then, um, because I, I, I think the actual issue, the most likely issue is like, well, how do we find meaning in a world where AI can do everything we can do a bit better?

SPEAKER_46: That, that, that is perhaps the bigger challenge. Um, although, you know, at this point, I know more and more people who are retired and they seem to enjoy that life. So, uh, but I think that, that may be, maybe there'll be some crisis of meaning. Like, because the computer can do everything you can do, but better. So maybe that'll be a challenge. Um, but, but really, uh, you know, you need, you need the sort of end effectors. You need the, the autonomous cars and you need the sort of humanoid robots or your general purpose robots. Um, but the, once you have general purpose humanoid robots, um, and autonomous vehicles, uh, you really, you, you, you can build anything. Um, and, and, and this, this, I think that there's no actual limit to the size of the economy. I mean, there's obviously, you know, the massive earth, you know, like that will be one limit. Um, but the, you know, the, the economy is, is really just the average productivity per person times number of people. That's the economy. And if you've, if you've got humanoid robots that can do, you know, where there's no real limit on the number of humanoid robots, um, and, and they, they can operate very intelligently, then, then there's no actual limit to the economy. And there's no meaningful limit to the economy.

SPEAKER_422: You guys just turned on Colossus. Yeah.

SPEAKER_148: Which is like the largest private compute cluster, I guess, of GPUs anywhere. Is that right?

SPEAKER_425: It's, it's the, it's the most powerful supercomputer of any kind.

SPEAKER_148: Um, which sort of speaks to what David said and kind of what Peter said, which is a lot of the kind of economic value so far, of AI, AI has entirely gone to NVIDIA, but there are people with alternatives and you're actually one with an alternative. Now you have a very specific case cause Dojo is really about images and large images, huge video.

SPEAKER_46: Um, yeah, I mean, the, the, the Tesla problem is different from the, um, you know, the sort of LLM problem. Uh, the, the nature of the intelligence actually is actually, and, and the, what, what matters in the AI is, is different. Um, to, to the point you just made, which is that in the, in Tesla's case, the context, uh, length is very long. So we've got gigabytes of context. Gigabyte context windows. Yeah. So you've got, you know, sort of, uh, kind of billions of tokens of context, not 90 amount of context, because you've got, um, seven, seven cameras. And if you've got several, you know, let's say you've got a minute of several high def cameras, then that's gigabytes. So you need to compress it. So the Tesla problem is you've got to compress a gigantic context, um, into the, the pixels that are, that actually matter. Um, and, you know, and, and, and condense that over a time. And so you've got to, in, in both, uh, the time dimension, the space dimension, you've got to compress the pixels, uh, in space and pixels over in time.

SPEAKER_166: Um, and, and, and then, and then have that inference done on a tiny computer, relatively speaking, a small, like a, you know, a few hundred watts.

SPEAKER_46: Uh, it's a Tesla designed, uh, AI inference computer, uh, which is probably still the best. There isn't a better thing we could buy from suppliers. So the Tesla designed, uh, AI inference computer that's in the cars is better than anything we could buy from any supplier.

SPEAKER_435: Just by the way, that's kind of a, by the way. No, the, the, the Tesla AI chip team is extremely good.

Chamath Palihapitiya: You guys in the design, there was a technical paper and there was a deck that somebody on your team from Tesla published.

SPEAKER_148: And it was stunning to me. You designed your own transport control, like layer over ethernet. You were like, ah, ethernet's not good enough for us. Yeah.

SPEAKER_438: You had this TT COE or something. And you're like, oh, we're just going to reinvent ethernet and like string these chips. It's pretty incredible stuff that's happening over there.

SPEAKER_429: Yeah. Um, no, the team, the, the Tesla chip design team is extremely good.

Chamath Palihapitiya: Um, so, um, but is there a world where, for example, other people over time that need, you know, some sort of like video use case or image. Yeah. So theoretically, you know, you'd say, oh, why not? You know, I have some extra cycles over here. So we should kind of make you a competitor of NVIDIA.

SPEAKER_446: It's not intentionally per se, but, um, yeah, I mean, the, the, you know, there's this training and inference.

SPEAKER_45: And we, we do have the, you know, two, those two projects at Tesla. We've got dojo, which is the, the training computer.

SPEAKER_46: Uh, and then, um, you know, our inference chip, which is in every, every car, inference computer. Um, so, and a dojo, we've only had dojo one. Dojo two is, um, you know, should be, we should have dojo two in volume towards the end of next year. Um, and, and that, that, that will be, we think sort of comparable to, uh, uh, sort of a B 200 type type system, a training system. Um, and, um, you know, so there's, I guess there's some potential for, for that to be used as a service.

SPEAKER_45: Um, and, but, but, but like, you know, dojo is, is just kind of like, I mean, we're, we're, we're, I guess, I, I guess I, I guess I have like some improved confidence in dojo. Um, but I think we, we won't really know how good dojo is until probably version three.

SPEAKER_46: Like usually takes three major iterations on a technology for it to be, to be excellent. Um, and we'll only have the second major iteration next year.

SPEAKER_447: Um, the third iteration, I don't know, maybe late, you know, 26 or something like that.

SPEAKER_449: How's the, uh, how's the Optimus project going?

SPEAKER_137: I remember when we talked last, um, and you said this publicly, that it's in doing some light testing inside the factory. Um, so it's actually being useful. What's the build of materials and when, you know, for something like that at scale. So when you start making it, like you're making the model three now, and there's a million of them coming off the factory line, what would the, would they cost? 20, 30, $40,000, you think?

SPEAKER_85: Yeah. I mean, what, I mean, I've discovered that really that, you know, anything made in sufficient volume will asymptotically approach the cost of its, of its, uh, materials. So now there's the, there's, I should say there's, it says some things are constrained by the cost of intellectual property and like paying for patents and stuff.

SPEAKER_46: So a lot of, you know, what, what's in a chip is like paying, paying royalties, um, and depreciation of the chip fab. So, but the actual marginal cost of the chips is very low.

SPEAKER_132: Um, so, so, so Optimus, it obviously is a humanoid robot. It, it is, it weighs much less than it's much smaller than a car. Um, so the, you could expect that in high volume, uh, and I'd say that you also probably need three, three production versions of Optimus.

SPEAKER_46: So you need to refine the design three, at least three major times.

SPEAKER_380: And then you need to scale production to sort of the million unit plus per year level. And I think at that point, the cost, the, the, you know, the, the labor materials on Optimus is probably not much more than $10,000.

SPEAKER_457: Yeah. And that's a decade long journey.

SPEAKER_85: Basically think of it like Optimus will cost less than, um, a, a small car. Right.

SPEAKER_380: So at, at, at scale volume with three major iterations of technology. And so if a small car, you know, costs $25,000, you know, it's, it's, it's probably like a, I don't know, $20,000 for, for an Optimus, for a humanoid robot that can be your, your buddy.

SPEAKER_46: Like a combination of R2D2 and C3PO, but better. Yeah. I mean, You know, that's, that's the, I, I honestly, I think people are going to get really attached to their humanoid robot because I mean, like you look at sort of watch Star Wars and it's like R2D2 and C3PO. I love those guys. Yeah. Um, you know, they're awesome.

SPEAKER_125: Um, and the, their personality and, and I mean, and all R2 could do is just beef at you. Right. Yeah. Can I speak English?

SPEAKER_463: Um, and that C3PO to translate the beeps, you know. So you're in year two of that.

SPEAKER_137: If you did two or three years per iteration or something, it's a decade long journey for this to hit some sort of scale.

SPEAKER_288: Um, I would say mid major iterations are less than two years. So, um, it's, it's probably on the order of five, five years.

SPEAKER_220: Yeah.

SPEAKER_469: Uh, maybe, maybe six to get to a million units a year.

SPEAKER_101: And at that price point, everybody can afford one on planet earth. I mean, it's going to be that one to one, two to one. What do you think?

SPEAKER_137: Ultimately, if we're sitting here in 30 years, the number of robots on the planet versus humans. Yeah.

SPEAKER_470: I think the number of robots will vastly exceed the number of humans. Vastly.

SPEAKER_166: Yeah. Vastly exceed. I mean, you have to say like who, who would not want their robot buddy? Everyone wants a robot buddy. Totally.

SPEAKER_125: Um, you know, this is like, it, especially if it can, you know, you know, it can take care of your, your, take your dog for a walk. It could, you know, mow the lawn. It could watch your kids. Uh, it could, you know, like it could, it could teach your kids.

SPEAKER_477: It could, it could.

SPEAKER_236: We could also send it to Mars.

SPEAKER_477: Yeah, absolutely.

SPEAKER_236: We could send a lot of robots to Mars to do the work needed to make it a colonized planet for humans. And Mars is already the robot planet.

SPEAKER_377: There's like a whole bunch of, you know, robots, like rovers and helicopter. It's only robots.

SPEAKER_132: Yes. Only robots. Um, so yeah, the, no, I think, I think the sort of useful humanoid robot opportunity is the single biggest, the single biggest opportunity ever.

SPEAKER_46: Um, because if you assume like that, I mean, the, the, I think the ratio of humanoid robots to humans is going to be at least two to one, maybe three to one. Cause everybody will, everybody will want one. And then there'll be a bunch of robots that you don't see that are making goods and services.

SPEAKER_438: And you think it's a general one generalized robot that then learns how to do different tasks or. Yeah.

SPEAKER_58: Hey, um, I mean, we, we are a generalized, uh, robot. Yeah. We're a general, we're just, we're just made of meat. Yeah. Exactly.

SPEAKER_319: Uh, We're a meat bot. A generalized meat bot. Yeah. I mean, I'm operating my meat puppet, you know?

SPEAKER_45: Um, so, um, yeah, we, we are actually, and by the way, it, it, it turns out like, as we were designing optimists, we sort of learn more and more about why humans are shaped the way they are.

SPEAKER_46: And, you know, and why we have five fingers and why your little finger is smaller than, you know, your index finger.

SPEAKER_45: Um, you know, you know, obviously why you have opposable thumbs, but also why, for example, your, the muscles, the major muscles that operate your hand are actually in your forearm.

SPEAKER_46: And, and your fingers are primarily operated. Um, you're, you're, you're, you're, you're, you're, you're, you're, the muscles that actuate your fingers, um, are located. The vast majority of the, of the, of your finger strength is actually coming from your forearm. Um, and your fingers are being operated by tendons, little strings that that that's, and so the current version of the optimist hand, uh, has the actuators in the hand and has only 11 degrees of freedom. So it can't, it's not as doesn't have all the degrees of freedom of human hand, which has depending on how you count it or roughly 25 degrees of freedom. Um, and, uh, and, and, and, and it's also like not strong enough in certain ways because the actuators have to fit in the hand. Um, so the next generation optimist hand, uh, which we'd have in prototype form, uh, the, the actuators have moved to the forearm, just like human. And they operate the, the fingers through cables, just like the human hand. And, uh, and, and then the next generation hand has 22 degrees of freedom, um, which we think is enough to do almost anything that human can do.

SPEAKER_148: Um, and presumably, I think it was written that X and Tesla may work together and, you know, provide services. But my immediate thought went to, oh, if you just provide a grok to the robot, then the robot has a personality and can process voice and video and images and all of that stuff.

SPEAKER_201: Yeah. As the, uh, as we wrap here, um, I think, uh, you know, everybody talks about all the projects you're working on, but, um, people don't know you have a great sense of humor.

SPEAKER_490: That's not true.

SPEAKER_135: Oh, you do, you do. Um, people don't see it, but I would say one of, I know for me, the funniest week of my life or one of the funniest was when you did SNL and we got, and you, you, I got to tag along. Um, maybe you saw it, um, maybe behind the scenes, like some of your funniest recollections of that chaotic, insane week when we laughed for 12 hours a day.

SPEAKER_219: It was a little terrorizing on the first couple of days, but.

SPEAKER_125: Yeah. I was a bit worried at the beginning there because frankly, nothing was funny.

SPEAKER_493: Um, day one was rough.

SPEAKER_380: Rough. Um, yeah.

SPEAKER_498: Yeah. So, I mean, it's like a rule, but can't you guys just say it, just say the stuff that got on the cutting. The funniest skits were the ones that didn't let you do. That's what I'm saying. Can you just say it?

SPEAKER_500: There were a couple of funny ones. Yeah. That they didn't let you do.

David Friedberg: You can say it so that he doesn't get them.

SPEAKER_376: I mean, how much time do we have here?

SPEAKER_503: Well, we should just give him one or two because it was, in your mind, which one do we regret most not getting on air?

SPEAKER_505: You really want to hear that? I mean, I mean, it was a little spicy.

SPEAKER_506: It was a little funny. Okay.

SPEAKER_509: Here we go. All right. Here we go, guys.

SPEAKER_417: All right.

SPEAKER_380: So one of the things that, um, I think everyone's been sort of wondering this whole time is, is Saturday Night Live actually live? Like live, live, live, live. Or do they have like a delay or like just in case, you know, there's a wardrobe malfunction or something like that? Right. Uh, is it like a, you know, five second delay? What's really going on? But there's a, there's a way to test this. Right. We came up with a way. There's a way to test this. Um, which is, we don't tell them what's going on. I walk on and say, this is the script I'll throw on the ground. We're going to find out tonight, right now, if Saturday Night Live is actually live.

SPEAKER_521: And the way that we're going to do this is I'm going to take my cock out.

SPEAKER_527: This is the greatest pitch ever.

SPEAKER_528: And, and if, if, if, if you see my cock, you know, it's true.

SPEAKER_26: And if you don't, it's been a lie.

SPEAKER_531: A lie. All these years.

SPEAKER_26: All these years. Yeah. This is, we're going to bust them right now.

SPEAKER_532: And this, we're pitching this.

SPEAKER_417: Yeah. Yeah. So we're pitching this. On zoom. Yeah. We're pitching this on zoom on, on like the Monday after we're like, yeah, we're like kind of hung over for the weekend and we're like pitching this. Yeah. And, and, and it's, it's, it's, you know, Jason's on, um, and, uh, yeah.

SPEAKER_45: And, and Mike, uh, you know, since there's a girl, like, you know, what my friends would think of sort of, you know, quite funny.

SPEAKER_380: Um, you know, uh, Jason was quite funny. I think like, like Jason's the closest thing to Cartman that exists in the real, in the real life.

SPEAKER_539: Yeah. We, we have a joke going that he's butters and I'm Cartman. Yeah.

SPEAKER_154: So, um, and then. My friend Mike's pretty funny too.

SPEAKER_271: So, so we, we, we come in like, like, just like guns blazing with that, with like ideas. And we didn't realize like, actually, you know, that's not how it works. And, and, and, uh, that's, that's, that's normally like actors and they just get told what to do. I'm like, Oh, right.

SPEAKER_417: Well, you mean we can't just like do funny things that we thought of what they're, uh,

SPEAKER_544: they're watching this and on the zoom, they're aghast. Yes. No, no, no, no.

SPEAKER_26: It's the pitch. Yeah. That's silence. Like, so I'm like, and I'm like, and I was like, is this thing working? Is this? Are we muted? Is our, is our mic on? And they're like, we hear you. Yeah. And then, and then I think after a long silence, like Mike's, Mike just says the word crickets. Crickets.

SPEAKER_546: And they're not laughing.

SPEAKER_26: And they're not even gonna, not even a chuckle.

SPEAKER_79: I'm like, what's going on there?

SPEAKER_548: And then Elon explains the punchline.

SPEAKER_79: Yes. Which is. Exactly.

SPEAKER_549: So there's more to it. Okay. Yes. That's just the beginning.

SPEAKER_552: So Elon says.

SPEAKER_554: So, so then I'm, so then I'm like, so, so, so, so I say like, I'm, I'm, I'm gonna, I'm gonna reach down.

SPEAKER_319: Into my pants. Into my pants. And I, and I stick my hand in my pants and I'm gonna, and I'm, and I'm gonna pull my cock out and I tell this to the audience and the audience is going to be like, what? Right. And, and, and, and then, and then, and then, and then, and then I pull out a, a baby rooster. You know?

SPEAKER_558: Yes.

SPEAKER_417: And it's like, okay, this is kind of PG, you know, it's like that, not that bad. It's like, this is my tiny cock. And, and it's like, what do you think? And so then. And do you think it's a nice cock? I mean, I like it. And I pitch.

SPEAKER_117: I'm like, and then Kate McKinnon walks out. Yeah, exactly. And I'm like, oh no, but you haven't heard half of it. So Kate McKinnon comes out. Yeah. And she says, Elon. But she has a cat. I expected you would have a bigger cock. Yeah.

SPEAKER_417: And it's like, I don't mean to disappoint you Kate, but yeah. But I, I hope you like it anyway. And then Kate.

SPEAKER_299: But Kate's got to come out with, with, with her cat. Okay. Right. So. And Kate says. You can see where this, you can see where this is going. Yeah. And I say, nice. Wow. That's, that's a, that's a, that's a, that's a nice pussy you've got there, Kate.

SPEAKER_417: Wow. That's amazing. Um, it, it looks a little wet. Was it raining outside? Um, do you mind if I stroke your pussy? Is that cool? Is that cool? It's like, Oh no, Elon actually. Can I hold your cock? Of course. Of course, Kate. You will definitely hold my cock.

SPEAKER_319: Um, and then, you know, we exchanged and I think just the audio version of this was pretty good.

SPEAKER_299: Right. Um, and, and, um, you know, it's just like, wow. You're I really like, um, stroking your cock.

SPEAKER_582: And I was like, I, I'm really enjoying stroking your pussy.

SPEAKER_285: Yes. Of course. And, um, yeah.

SPEAKER_584: So, you know, they're looking at us like, Oh my God, what have we done? Inviting these lunatics on the program.

SPEAKER_567: Yeah. And then they said, they said like, well, um, it is, uh, it is mother's day.

SPEAKER_587: It's mother's day. We might not want to go with this.

SPEAKER_589: A lot of moms in the audience.

SPEAKER_176: And I'm like, well, that's a good point.

SPEAKER_589: Fair.

SPEAKER_176: Fair. It might be a bit uncomfortable for all the moms in the audience. Maybe. I don't know. They'll dig it. Maybe they'll like it.

SPEAKER_182: Uh, so, uh, yeah, that was, that's the, um, that's the, that's the, that's the, um, cold open that didn't make it.

SPEAKER_601: We didn't get that on the air. Um, but, uh, we did fight for Doge. Yes. And we got Doge on the air.

SPEAKER_271: Well, I mean, there's a bunch of things that I said that were just not on the script. Like they have these like cue cards for what you're supposed to say. And I just didn't say it. I just went off the rails. Yeah.

SPEAKER_604: They didn't see that coming. Yeah. It's live.

SPEAKER_601: Well, and, uh, so the, Elon wanted to do Doge. This is the other one. And he wanted to do Doge on late night. And he says, um, Hey, Jake, Al, can you, um, make sure?

SPEAKER_608: Oh yeah. I want to, yeah. I want to do the Doge father. Like you sort of redo the, you know, that scene from, uh, the, the Godfather.

SPEAKER_217: I mean, you kind of need the music to cue things up. You bring me on my daughter's wedding.

SPEAKER_613: Is it you ask for Doge?

SPEAKER_614: Yeah. You got Marlon Brando.

SPEAKER_616: I give you Bitcoin, but you want exactly. You really got to set the mood. To get out of the tuxedo. And this whole sort of job.

SPEAKER_618: Like Marlon Brando. Yeah.

SPEAKER_623: I said, you come to me on this day of my Doge's wedding. wedding and you ask me for your private keys are you even a friend you call me

SPEAKER_630: the Doge father so that's potential they had a great potential so they come to me

SPEAKER_190: and I'm I'm talking to Colin and Joe who's got a great sense of humor he's

SPEAKER_101: amazing he loves Elon and he's like we can't do it because of the law and stuff

SPEAKER_117: like that the law and a liability so I said it's okay Elon called Comcast yeah he put in an offer and they just accepted it yeah so it's fine yeah Colin

SPEAKER_640: Joe's looks at me so good he's like you're serious we own NBC now he's like

SPEAKER_643: okay well that kind of changes things doesn't it I'm like absolutely we're a

SPEAKER_640: go on on Doge yeah and then he's like you're fucking with me I'm fucking with you

SPEAKER_584: or are we it was the greatest week of and that like is like two of ten stories yeah

SPEAKER_101: we'll save the other eight yeah but it was and I was just so happy for you to see you have a great week of just joy and fun and letting go because you were launching rockets you're dealing with so much bullshit in your life to have those

SPEAKER_225: moments yeah to share them and just laugh it was just so great yeah more of

SPEAKER_650: those moments I think we gotta we gotta get you back on SNL who wants to back on SNL one more time all right ladies and gentlemen our bestie Elon Musk