Latest / The 47 Morning Update with Ben Ferguson / Complete Interview-A Sit Down w Elon Musk at the WH Week In Review

Transcript

Complete Interview-A Sit Down w Elon Musk at the WH Week In Review · The 47 Morning Update with Ben Ferguson

• 0:01
  Speaker 1: Welcome.
• 0:01
  Speaker 2: It is Verdict with Center, Ted Cruz, Ben Ferguson with you,
• 0:04
  Speaker 2: and this is a special week in Review. We had
• 0:08
  Speaker 2: the awesome opportunity to sit down with Elon Musk at
• 0:12
  Speaker 2: the White House and we did it as a two
• 0:14
  Speaker 2: part series this week. Some of you may have missed it,
• 0:16
  Speaker 2: or you may want to share that with your family
• 0:18
  Speaker 2: and your friends. So if you would do us a favor,
• 0:21
  Speaker 2: because what Elon Musk had to say, we want.
• 0:24
  Speaker 3: Everyone to hear it.
• 0:25
  Speaker 2: It's a lot of info the media refuses to cover.
• 0:28
  Speaker 3: Now.
• 0:28
  Speaker 2: The good news is this interview went viral on x
• 0:32
  Speaker 2: But if you are on other social media platforms, please
• 0:36
  Speaker 2: share this podcast right now so that everyone can hear
• 0:39
  Speaker 2: what mus said about waste, fraud and abuse in our government.
• 0:43
  Speaker 2: He also had some amazing things to talk about when
• 0:45
  Speaker 2: it comes to colonizing Mars and the idea that may
• 0:48
  Speaker 2: actually become a reality.
• 0:50
  Speaker 1: So grab this and share it.
• 0:52
  Speaker 2: This is the entire interview, uninterrupted with Elon Musk at
• 0:57
  Speaker 2: the White House.
• 0:58
  Speaker 4: Well, we're in the White House right right now, and
• 1:00
  Speaker 4: we're here with my friend Elon Musk, who really has
• 1:04
  Speaker 4: not been doing much of anything, has not made any news.
• 1:06
  Speaker 4: Is and nobody has noticed. Yeah, the impact.
• 1:10
  Speaker 1: Welcome elon, thank you, Holy crap ah, yes wow. Let
• 1:15
  Speaker 1: me just say, never a dull moment. Never a dull moment.
• 1:19
  Speaker 4: The first fifty days the president has spent in office
• 1:22
  Speaker 4: over the top, and the first fifty days you've spent.
• 1:26
  Speaker 4: I don't think there's ever been anyone to have an
• 1:28
  Speaker 4: impact the way you have.
• 1:29
  Speaker 3: At the beginning.
• 1:31
  Speaker 1: Let me start with a question.
• 1:32
  Speaker 4: You know a lot about which was worse the mess
• 1:35
  Speaker 4: you found at Twitter or the mess you found in
• 1:38
  Speaker 4: the federal government.
• 1:39
  Speaker 3: Well, it's hard to compete with the federal government.
• 1:42
  Speaker 4: What's surprised you about the federal government? I assume you
• 1:44
  Speaker 4: came in and assumed it was bad. Is it worse
• 1:47
  Speaker 4: than you expected?
• 1:49
  Speaker 3: It is worse than I expected. But on the plus side,
• 1:52
  Speaker 3: that means there's more opportunity for improvement. So look, if
• 1:56
  Speaker 3: you look on the bright side, there's actually a lot
• 1:59
  Speaker 3: of opportunity for improvement in federal goverment expenditures because it's
• 2:03
  Speaker 3: so bad. If it was a well run ship, it
• 2:06
  Speaker 3: would be very difficult to improve. So like, but so
• 2:09
  Speaker 3: now it's like, people say, well, how how do you
• 2:11
  Speaker 3: figure out how to save money in the federal government. Well,
• 2:13
  Speaker 3: it's like being in a room where the walls, the roof,
• 2:15
  Speaker 3: and the floor are old targets any direction. Yeah, and
• 2:20
  Speaker 3: you're your kindness. Wow, yeah, I'm sure you would agree.
• 2:24
  Speaker 1: So a lot of folks have talked about like like.
• 2:27
  Speaker 3: You can't right, this is going to any direction.
• 2:33
  Speaker 1: A lot of the crazy expenditures, things like like two
• 2:35
  Speaker 1: million bucks for sex change surgeries in Guatemala, an essential
• 2:41
  Speaker 1: you know, transgendered mice, and and sesame street in Iraq,
• 2:45
  Speaker 1: A lot of that has gotten the tention. But some
• 2:47
  Speaker 1: of the stuff you've told me about, like tell us
• 2:49
  Speaker 1: about computer licenses and government agencies.
• 2:52
  Speaker 3: Yeah, so most of what do just finding you don't
• 2:55
  Speaker 3: need to shock comes. It's very obvious, basic stuff. So
• 2:59
  Speaker 3: it in every govert department. I say every because we've
• 3:03
  Speaker 3: not yet found a single exception. There are far too
• 3:06
  Speaker 3: many software licenses and media subscriptions, meaning many more software
• 3:12
  Speaker 3: licenses and media subscriptions than there are humans in the department.
• 3:16
  Speaker 4: Like you were saying, like an agency with fifteen thousand
• 3:18
  Speaker 4: people might have thirty thousand licenses. Yes, and even of
• 3:22
  Speaker 4: the fifteen thousand employees, a good chunk of them hadn't
• 3:25
  Speaker 4: used the license had never logged on or used the application.
• 3:29
  Speaker 3: Yes, we found entire situations of software licenses or media
• 3:35
  Speaker 3: subscriptions where there were zero logins.
• 3:38
  Speaker 1: So it had and yet we were paying for it.
• 3:40
  Speaker 3: Yes, the government's paying for thousands of licenses of software
• 3:44
  Speaker 3: or media subscriptions and no one had ever logged in
• 3:47
  Speaker 3: even once.
• 3:48
  Speaker 1: Or credit cards. You found the same thing. With government
• 3:50
  Speaker 1: credit cards.
• 3:51
  Speaker 3: We found that there are twice as many credit cards
• 3:53
  Speaker 3: as there are humans. And I still don't have a
• 3:56
  Speaker 3: good explanation for why this is the case. And these
• 3:59
  Speaker 3: are ten thousand dollar limit cards, so it's a lot
• 4:02
  Speaker 3: of money.
• 4:03
  Speaker 2: Is it incompetent that you're finding or is this like
• 4:06
  Speaker 2: the biggest money wandering scheme in the history of the
• 4:09
  Speaker 2: world that you're finding.
• 4:10
  Speaker 3: Okay, I think it's mostly If you say, look, what's
• 4:13
  Speaker 3: the waste to fraud ratio, Yeah, in my opinion, it's
• 4:18
  Speaker 3: it's like eighty percent wist twenty percent fraud. But you
• 4:21
  Speaker 3: do have these sort of gray areas. For example, example
• 4:25
  Speaker 3: be so uh, we saw a lot of payments going
• 4:29
  Speaker 3: out of treasury that had no payment code and no
• 4:33
  Speaker 3: explanation for the payment. And then we're we're we're we're
• 4:37
  Speaker 3: trying to figure out what that payment is and we'd
• 4:39
  Speaker 3: see that, Okay, that contract was supposed to be shut off,
• 4:43
  Speaker 3: but but someone forgot to shut off that that contract
• 4:46
  Speaker 3: and so the company kept getting money. Wow. Now is
• 4:50
  Speaker 3: that waste or fraud? Both both? Yeah, you're not supposed
• 4:57
  Speaker 3: to get you're not supposed to get it, but you
• 4:59
  Speaker 3: but the the government sent it to you, and nobody
• 5:02
  Speaker 3: from the government asked for it back. Take for example,
• 5:05
  Speaker 3: the one the one point nine billion dollars given to
• 5:07
  Speaker 3: Stacy Abrams.
• 5:08
  Speaker 1: Yeah, fake ng O, utter insanity.
• 5:11
  Speaker 3: Explain the story.
• 5:13
  Speaker 1: That's that's just corrupt. I think that's paying off cronies
• 5:17
  Speaker 1: at that point.
• 5:18
  Speaker 3: Yeah.
• 5:18
  Speaker 1: Yeah.
• 5:19
  Speaker 4: And by the way, she knew, like when you get
• 5:21
  Speaker 4: two billion dollars, you don't miss that.
• 5:23
  Speaker 1: That's not on accident.
• 5:25
  Speaker 3: That's allegedly it was for like, uh, you know, environmentally
• 5:28
  Speaker 3: friendly appliances or something. And they've given like like a
• 5:32
  Speaker 3: hundred appliances so far for two billion dollars. It's very
• 5:35
  Speaker 3: expensive toast that's fridge, it's nice. Is it's just obviously
• 5:42
  Speaker 3: one of the biggest scam fordoles we've uncovered, which is
• 5:45
  Speaker 3: really crazy, is uh? Is that is that the government
• 5:50
  Speaker 3: can give money to a so called nonprofit with with
• 5:54
  Speaker 3: very few controls, and then that and there's there's no
• 5:57
  Speaker 3: auditing subsequently of that nonprofit, so there's no So this
• 6:01
  Speaker 3: is where with the you know, one point nine billion
• 6:03
  Speaker 3: of Stacey Abrams, who's who's that they didn't give themselves
• 6:06
  Speaker 3: extremely lavished like insane salaries, expense everything yep, to the
• 6:11
  Speaker 3: to the nonprofit, you know, buy jets and homes and
• 6:15
  Speaker 3: all sorts of.
• 6:15
  Speaker 1: Things, live like kings and queens. Yes on the taxpayer done.
• 6:19
  Speaker 3: Correct. You mentioned this is happening at scale. It's not
• 6:22
  Speaker 3: just one or two. We're seeing this everywhere.
• 6:24
  Speaker 4: Now, one of the things you told me about is
• 6:27
  Speaker 4: at least what you call say, magic money computers. Well,
• 6:32
  Speaker 4: so tell us about it, because I've never heard of
• 6:33
  Speaker 4: that until you brought that up.
• 6:35
  Speaker 3: Okay, So you may think that these the government computers
• 6:39
  Speaker 3: like all talk to each other, they synchronize, they add
• 6:42
  Speaker 3: up what funds are going somewhere, and it's you know,
• 6:47
  Speaker 3: it's coherent that that that the you know, there's and
• 6:50
  Speaker 3: that and that the numbers, for example, that you're presented
• 6:52
  Speaker 3: as a senator are actually the real numbers. And one
• 6:56
  Speaker 3: would think we would think they're not okay. I mean,
• 7:01
  Speaker 3: they're not totally wrong, but they're probably off by five
• 7:03
  Speaker 3: percent or ten percent in some cases. So I call
• 7:07
  Speaker 3: it magic money computer. Any computer which can just make
• 7:09
  Speaker 3: money out of thin air best magic money.
• 7:12
  Speaker 1: So how does that work?
• 7:13
  Speaker 3: It just issues payments.
• 7:16
  Speaker 4: And you said something like eleven of these computers a
• 7:18
  Speaker 4: treasury that are that are sending out trillions in payments.
• 7:21
  Speaker 3: They're mostly a treasury. Some are with the sum at HHS,
• 7:27
  Speaker 3: some that there's one as one or two it states
• 7:30
  Speaker 3: there's summit at DoD. I think we found now fourteen
• 7:34
  Speaker 3: magic money computers. Gene, Okay, they just send money out
• 7:38
  Speaker 3: of nothing.
• 7:40
  Speaker 4: You have an ability to see where leverage points are
• 7:44
  Speaker 4: and how things actually happen. So I remember back I
• 7:48
  Speaker 4: think it was September October of this year, before the election.
• 7:51
  Speaker 4: We didn't know who was going to win, and I
• 7:52
  Speaker 4: was at your house in Austin. We were talking about it,
• 7:54
  Speaker 4: and you said, you said, look, I don't want a
• 7:58
  Speaker 4: job in Washington, and you said, all I want is
• 8:00
  Speaker 4: the log in for every computer. And I remember thinking
• 8:03
  Speaker 4: at the time that sounded kind of weird, like I
• 8:05
  Speaker 4: just didn't get it. And I have to say what's
• 8:08
  Speaker 4: interesting on this. If I would have thought like, okay,
• 8:13
  Speaker 4: how do you reform government? Like sort of the traditional
• 8:15
  Speaker 4: way to think about it is, okay, give me an
• 8:17
  Speaker 4: orc chart, let me sit down with the people who
• 8:18
  Speaker 4: are running agencies. And what you saw immediately is to
• 8:23
  Speaker 4: understand what's really going on, get to the payment systems,
• 8:26
  Speaker 4: get to the computers. Yeah, Like, why is getting to
• 8:32
  Speaker 4: the computers so critical to understanding what's actually happening?
• 8:36
  Speaker 3: Well, the government is run by computers. So you've got
• 8:41
  Speaker 3: essentially several hundred computers that effectively run the government. And
• 8:45
  Speaker 3: if you want to know, did you know that? Then no? Like, yeah,
• 8:49
  Speaker 3: so when somebody, like even when the president issues an
• 8:51
  Speaker 3: executive order, that's going to go through a whole bunch
• 8:53
  Speaker 3: of people until ultimately it is implemented at a computer somewhere.
• 8:57
  Speaker 3: And if you want to know what the situation is
• 8:59
  Speaker 3: with the accounting and you're trying to reconcile accounting and
• 9:02
  Speaker 3: get rid of waste and fraud, you must be able
• 9:04
  Speaker 3: to analyze the computer databases. Otherwise you can't figure it
• 9:07
  Speaker 3: out because all you're doing is asking a human who
• 9:10
  Speaker 3: will then ask another human, ask another human, and finally
• 9:13
  Speaker 3: usually ask some contractor will ask another contractor to your
• 9:17
  Speaker 3: query under computer. Wow, that's how it actually works. So
• 9:21
  Speaker 3: it's many layers D So the only way to reconcile
• 9:24
  Speaker 3: the databases and get rid of waste and fraud is
• 9:26
  Speaker 3: to to actually look at the computers and see what's
• 9:30
  Speaker 3: going on. So that's what I call it. That's like,
• 9:34
  Speaker 3: that's why when I sort of cryptically referred to reprogramming
• 9:38
  Speaker 3: the matrix. You have to understand what's going on the computers.
• 9:40
  Speaker 3: You have to reconcile the computer databases in order to
• 9:43
  Speaker 3: identify the waste and fraud.
• 9:45
  Speaker 4: I don't know that there was anyone in Congress who understood,
• 9:51
  Speaker 4: certainly myself included, who understood the leverage that.
• 9:54
  Speaker 1: Comes from the computer and the data.
• 9:57
  Speaker 4: In particular, that Congress would think about give me a
• 10:00
  Speaker 4: report on what your expenditures are rather than actually getting
• 10:04
  Speaker 4: into the pipes. And I think that has been fascinating
• 10:07
  Speaker 4: that it's let you uncover a bunch of crap that
• 10:10
  Speaker 4: just nobody knew.
• 10:11
  Speaker 3: Yes, I mean in order for money to go to
• 10:14
  Speaker 3: a van account. It's it's not like we're sending truckloads
• 10:17
  Speaker 3: of cash all over the place where it's a we're
• 10:20
  Speaker 3: wiring money. Right, we're sending money through the ACH system
• 10:23
  Speaker 3: or through the Swift system. So in order for money
• 10:25
  Speaker 3: to flow, it's going to flow electronically. So that's that's
• 10:28
  Speaker 3: what you need to look at. You need to look
• 10:29
  Speaker 3: at the actual electronic money flows.
• 10:31
  Speaker 4: And Tesla and all your companies, you have accounting and
• 10:34
  Speaker 4: you have every expenditure. You have it coded for what
• 10:36
  Speaker 4: it's going for. Federal government doesn't work that way. They
• 10:39
  Speaker 4: don't code what the money is going for.
• 10:40
  Speaker 3: They do know, but they didn't. They didn't.
• 10:43
  Speaker 4: And like one of the things that that you told me,
• 10:46
  Speaker 4: you said, if any company kept its books the way
• 10:48
  Speaker 4: the federal government does, they'd arrest the officers and put
• 10:51
  Speaker 4: them in jail.
• 10:52
  Speaker 3: Yes, if it was a poly company would be dealisted immediately,
• 10:55
  Speaker 3: it would fail, it's ordered, and the officers of the
• 10:57
  Speaker 3: company would be imprisoned. That's level of enough easiness in
• 11:01
  Speaker 3: the middle. Unfortunately, it's deliberately or do you think this
• 11:06
  Speaker 3: is in competence again, it's eighty percent. It's eighty percent
• 11:09
  Speaker 3: incompetence or in twenty percent malice.
• 11:13
  Speaker 2: If you look at DOGE now and you look at
• 11:15
  Speaker 2: the government and what you're finding, what percentage have you
• 11:19
  Speaker 2: guys even gotten to and how much of it is
• 11:22
  Speaker 2: Mars where you haven't even gotten there yet because there's
• 11:24
  Speaker 2: so much you're finding out here. I mean, how many
• 11:27
  Speaker 2: you seem like a timeline guy when you say all
• 11:29
  Speaker 2: I want to get in there and get all these
• 11:30
  Speaker 2: you know, numbers and things. How far are we from
• 11:33
  Speaker 2: the end game where you've seen it all, been able
• 11:35
  Speaker 2: to process it all and fix it.
• 11:38
  Speaker 3: I mean are we years away? Months away? Not yours?
• 11:43
  Speaker 3: I mean recently confident that we'll be able to get
• 11:46
  Speaker 3: a trillion dollars of waste and forward opt and that
• 11:52
  Speaker 3: meaning that it will have what we'll have a net
• 11:54
  Speaker 3: savings in f I twenty six, which thoughts in October
• 11:57
  Speaker 3: obviously of a trillion dollars provider were allowed to We're
• 12:01
  Speaker 3: allowed to continue and our progress is not impeded. And
• 12:05
  Speaker 3: we're very public about what we do.
• 12:06
  Speaker 1: Yeah, put it on.
• 12:08
  Speaker 3: The website about how we could be more transparent. Literally
• 12:11
  Speaker 3: everything action we do, smaller, large, we put on the
• 12:14
  Speaker 3: dose dot dot gov website and we post on the
• 12:17
  Speaker 3: x handle. And when people complain about it and they say, oh,
• 12:21
  Speaker 3: you're doing something costumes, I'm like, well, which of these costs?
• 12:25
  Speaker 1: Daylight everyone knows exactly what you're doing.
• 12:27
  Speaker 3: Extreme transparent. Yeah, I don't think it's anything's been this
• 12:32
  Speaker 3: transparent ever.
• 12:33
  Speaker 4: So five years ago you were a hero to the left, cool,
• 12:38
  Speaker 4: you had electric cars, you had space, And in five
• 12:41
  Speaker 4: years you've got.
• 12:42
  Speaker 3: To go to a party in Hollywood and not get
• 12:44
  Speaker 3: doddy looks. In fact, yeah, and now you might not
• 12:47
  Speaker 3: even get invited. It's invited, but I don't know if
• 12:50
  Speaker 3: I need to go.
• 12:52
  Speaker 4: And I don't think it's an exaggeration to say today,
• 12:56
  Speaker 4: after Donald Trump, the left hates you more than a
• 13:00
  Speaker 4: person on earth.
• 13:01
  Speaker 3: Yes, I appear to be number two. I mean, if
• 13:03
  Speaker 3: you're judged by the various signs.
• 13:06
  Speaker 1: They estrangements, it's Trump arrangement syndrome and Elon de arrangement syndrome.
• 13:10
  Speaker 1: How is that for you?
• 13:12
  Speaker 4: That's a little bit of whiplash of going from being
• 13:14
  Speaker 4: like mister cool to the devil incarnate in just a
• 13:18
  Speaker 4: couple of years. Is that is that kind of weird
• 13:20
  Speaker 4: to experience that transformation?
• 13:22
  Speaker 3: Yes?
• 13:23
  Speaker 1: Why do they hate you so much?
• 13:25
  Speaker 3: Well, because we're we're clearly over the target. If those
• 13:30
  Speaker 3: was ineffective, if we were not actually getting rid of
• 13:33
  Speaker 3: a bunch of wasting forward and a bunch of that.
• 13:35
  Speaker 3: For I mean, the ford we're seeing is overwhelmingly on
• 13:40
  Speaker 3: the on the left. I mean it's not zero on
• 13:43
  Speaker 3: the right, but these angos are almost all left wing
• 13:47
  Speaker 3: NGOs that are being funded for example. Yep. So they
• 13:52
  Speaker 3: hate me because Dog is being effective and Dog is
• 13:56
  Speaker 3: getting rid of a lot of waste. For that, they
• 13:59
  Speaker 3: were that people and left were taking advantage of that.
• 14:02
  Speaker 3: That's that's that's where it comes out to. And and
• 14:04
  Speaker 3: the single biggest thing that they're that they're worried about
• 14:08
  Speaker 3: is that Dogs is going to turn off fraudulent payments
• 14:14
  Speaker 3: of entitlements. I mean everything from Social Security, medicare, uh
• 14:18
  Speaker 3: you know, unemployment, disability, smallpers administ registration loans, turn them
• 14:24
  Speaker 3: off to illegals. This is that flux of the matter.
• 14:29
  Speaker 3: Ye okay, this is this is the this is the
• 14:31
  Speaker 3: thing that why they really hit my guts and want
• 14:34
  Speaker 3: me to die.
• 14:35
  Speaker 4: And do you think that's billions? Hundreds of billions? What
• 14:38
  Speaker 4: do you think the scale is of that?
• 14:40
  Speaker 3: I think across the country it's it's in the it's well,
• 14:42
  Speaker 3: not of one hundred billion, maybe two hundred million. So uh,
• 14:48
  Speaker 3: by by using entitlements fraud the Democrats have been able
• 14:51
  Speaker 3: to attract and retain vast numbers of illegal immigrants.
• 14:57
  Speaker 1: And buy voters and and buy.
• 15:00
  Speaker 3: Voters exactly the basically bring in ten twenty million people
• 15:07
  Speaker 3: who are beholden to the Democrats for governor handouts and
• 15:11
  Speaker 3: will vote overwhelming the Democrats. Has been demonstrated in California.
• 15:15
  Speaker 3: This is it's an election strategy. Yes, it's powered, Yes,
• 15:20
  Speaker 3: and it doesn't take much to turn the swing states blue.
• 15:23
  Speaker 3: I mean off in a swing state yet be won
• 15:25
  Speaker 3: by ten twenty thousand votes. Sure, so the DAMS can
• 15:28
  Speaker 3: bring in two hundred thousand illegals and over time get
• 15:31
  Speaker 3: them legalized, not counting any cheating that takes place, because
• 15:34
  Speaker 3: there is some cheating, but even without cheating, if you bake,
• 15:39
  Speaker 3: if you if you bring in illegals that are ten
• 15:41
  Speaker 3: x the voted differential in a swing state, it will
• 15:44
  Speaker 3: no longer be a swing state, right, and the DAMS
• 15:47
  Speaker 3: will win all the swing states just a matter of time,
• 15:51
  Speaker 3: and America will be permanent deep blue socialist state. At
• 15:56
  Speaker 3: the House, the Senate, YEP, the Presidency, and the Supreme
• 16:00
  Speaker 3: Court will all go hardcore down. They will then further
• 16:03
  Speaker 3: cement that by bringing even more aliens so you can't
• 16:07
  Speaker 3: vote your way out of it. Their objement is to
• 16:11
  Speaker 3: make it one party socialist state, and it will be
• 16:13
  Speaker 3: much worse than California, because at least California is mitigated
• 16:16
  Speaker 3: by the fact that someone can leave California.
• 16:17
  Speaker 1: You can go to Texas.
• 16:18
  Speaker 3: Yeah, exactly, So you're gonna make everywhere California but worse.
• 16:22
  Speaker 4: By the way, the middle of the pandemic, I spent
• 16:25
  Speaker 4: forty five minutes on the phone with Elon.
• 16:27
  Speaker 1: He was still in California.
• 16:28
  Speaker 4: I was walking my dog's snowflake and trying to convince
• 16:32
  Speaker 4: you come to Texas. The commis in California can't stand you.
• 16:36
  Speaker 4: We love you, we want you here, and you didn't
• 16:38
  Speaker 4: quite go then, but you went not that long afterwards.
• 16:41
  Speaker 3: I mean, the COVID actions almost killed Tesla because they
• 16:46
  Speaker 3: let every other auto plant in the country was allowed
• 16:48
  Speaker 3: to open, but ours, which was in California, was not
• 16:52
  Speaker 3: a lot to open. Wow. Wow, So they almost killed Tesla.
• 16:56
  Speaker 4: So as a personal matter, you do you ever regret it?
• 17:00
  Speaker 4: Like five years ago you go to the OSCARS and
• 17:03
  Speaker 4: mister cool and now you're you've got death threats every day,
• 17:06
  Speaker 4: Like do you well?
• 17:07
  Speaker 3: These days the OSCARS are boring. I wouldn't want to go.
• 17:11
  Speaker 1: God bless the movies they nominate.
• 17:12
  Speaker 4: No one on earth has ever seen like, like, could
• 17:14
  Speaker 4: they actually nominate a movie that human beings go watch?
• 17:17
  Speaker 3: I mean, how many great movies have come out in
• 17:20
  Speaker 3: the last several years.
• 17:21
  Speaker 1: Very few, depressingly few.
• 17:23
  Speaker 3: Yeah, very few. Last Oscars came and went I didn't
• 17:25
  Speaker 3: watch it. There's nothing to see.
• 17:27
  Speaker 4: I was sad that Gene Hackman just passed away because
• 17:30
  Speaker 4: Unforgiven was spectacular, but that was a long time ago.
• 17:33
  Speaker 3: Forgiven came out.
• 17:34
  Speaker 2: You've mentioned today here and before about the possibility of
• 17:39
  Speaker 2: someone wanting.
• 17:40
  Speaker 3: To take you out, dealing with the death threats we see.
• 17:44
  Speaker 3: It's not in my imagination. You could just look on
• 17:45
  Speaker 3: social media. Yeah, but like is it because very clear?
• 17:50
  Speaker 1: Yeah, And look I'm I'm very familiar with it.
• 17:51
  Speaker 3: And they've got science. They are people with science and demonstrations, uh,
• 17:55
  Speaker 3: saying that I need to die.
• 17:57
  Speaker 4: Do you think are these just why jobs? Or do
• 18:00
  Speaker 4: you think there are foreign sane people? Do you think
• 18:05
  Speaker 4: there are foreign entities behind this? Do you think they're
• 18:07
  Speaker 4: domestic entities behind the threats? And also the attacks to
• 18:10
  Speaker 4: Twitter are not Twitter, but Tesla, I mean you know,
• 18:14
  Speaker 4: you're getting Tesla's charging stations lit on fire. Do you
• 18:18
  Speaker 4: think that's organized and paid for?
• 18:21
  Speaker 3: Yes, at least some of it is organized and paid
• 18:23
  Speaker 3: for I think by domestic you know, basically left wing
• 18:30
  Speaker 3: organizations in America funded by left wing billionaires. Essentially, is
• 18:37
  Speaker 3: it like Act Blue or what Act Blue is one
• 18:39
  Speaker 3: of them? You know Arabella, you know the classic it's
• 18:44
  Speaker 3: funded by the you know, the blue basically the left
• 18:49
  Speaker 3: wing and g O cabal.
• 18:52
  Speaker 2: How big of a threats is to like what you
• 18:54
  Speaker 2: build at Tesla? I mean, I remember when Tesla's came out,
• 18:57
  Speaker 2: it was people that they didn't want to have gas cars.
• 19:00
  Speaker 2: A lot of it was environmental reasons. I jokingly said,
• 19:03
  Speaker 2: I was like, I'm a Texas guy, I'm always going
• 19:04
  Speaker 2: to have something that burns gas. My kids now, all
• 19:08
  Speaker 2: three of my boys think that that Tesla's are awesome.
• 19:11
  Speaker 2: The cyber truck is the car they want their dad
• 19:14
  Speaker 2: to buy, which I laugh because I never could have
• 19:16
  Speaker 2: imagined that five years ago.
• 19:19
  Speaker 3: And now I'm looking at We're worth.
• 19:20
  Speaker 4: The White House in the President's Tesla sparks. Yeah, I mean,
• 19:23
  Speaker 4: which is the fullest dand but I mean you've you've
• 19:25
  Speaker 4: changed a generation.
• 19:26
  Speaker 2: When you look at my kids are six and eight
• 19:28
  Speaker 2: and they're going Dad buy a cyber truck, and I'm
• 19:31
  Speaker 2: considering it. That's a that's a full circle in a
• 19:34
  Speaker 2: weird way.
• 19:35
  Speaker 3: Yeah. Well, I do have the story that the most
• 19:37
  Speaker 3: errantating outcome is the most likely. So yeah, it seems
• 19:42
  Speaker 3: often to be true. I like, what, uh, what twistal
• 19:45
  Speaker 3: turn of fate? Uh? Well, I would the highest ratings
• 19:49
  Speaker 3: if this was if we're a TV show, what twistal
• 19:52
  Speaker 3: turn of fate would generate the highest ratings that there's
• 19:54
  Speaker 3: a good chance that happens.
• 19:55
  Speaker 4: Well, I will say if if Act Blue and Arabella
• 19:59
  Speaker 4: Network was a huge scam, next level, do you think
• 20:01
  Speaker 4: it's foreign money? Chinese money? Where do you think the
• 20:04
  Speaker 4: money in Act Blue is coming from? How do you
• 20:05
  Speaker 4: figure that out?
• 20:07
  Speaker 3: Well, it's not coming from from a whole bunch of
• 20:10
  Speaker 3: from a ground swell of public support, because when individual
• 20:14
  Speaker 3: donors looked at an Act Blue, they a bunually turned
• 20:17
  Speaker 3: out to be like diehard Republicans, people have never given
• 20:20
  Speaker 3: money in their life. So you're going to track down
• 20:22
  Speaker 3: a bunch of these where it says, oh I gave
• 20:24
  Speaker 3: sixteen thousand dollars and they're like, I didn't give sixteen
• 20:26
  Speaker 3: thousand dollars. We're talking about. Well, if those whole con
• 20:30
  Speaker 3: friends of mine, if I found themselves on the Act
• 20:32
  Speaker 3: Blue List the like.
• 20:34
  Speaker 4: So that's if it can actually be shown that they
• 20:38
  Speaker 4: are funding firebombing of Tesla charging stations, that's objectively a
• 20:43
  Speaker 4: criminal act. That that is funding terrorist activity, and the
• 20:46
  Speaker 4: statutes make clear that an incendiary device qualifies.
• 20:49
  Speaker 3: So that down is a terrorist activity.
• 20:52
  Speaker 4: Let me ask AI in ten years, how is life
• 20:57
  Speaker 4: going to be different because of AI for just a
• 21:00
  Speaker 4: normal person?
• 21:01
  Speaker 3: Well, ten years is a long time. In ten years,
• 21:04
  Speaker 3: probably AI could do anything better than a human can cognitively,
• 21:08
  Speaker 3: probably almost. I think in ten years, based on the
• 21:11
  Speaker 3: cart rate of improvement, AI will be smarter than the
• 21:14
  Speaker 3: smartest human.
• 21:16
  Speaker 1: Yeah.
• 21:16
  Speaker 3: Yeah. There will also be a massive number of robots,
• 21:20
  Speaker 3: so humanoid robots.
• 21:22
  Speaker 4: By the way, I got to ask, how come your
• 21:24
  Speaker 4: robots look so much like the creepy robots for my robot?
• 21:27
  Speaker 1: Was that intentional or.
• 21:28
  Speaker 3: Just I was hoping he's gonna say, yeah, just to
• 21:32
  Speaker 3: mess with you, it's not meant to look like any
• 21:36
  Speaker 3: prior robot, and we'll iterate the design and you'll be
• 21:41
  Speaker 3: able to have a lot of the robot parts are cosmetic.
• 21:44
  Speaker 3: You'll be able to switch out the kind of snap
• 21:47
  Speaker 3: on cosmetic parts of the robot make it look like
• 21:50
  Speaker 3: something else if you lying so. There'll be ultimately billions
• 21:55
  Speaker 3: of humanoid robots all costs will be self driving in
• 21:59
  Speaker 3: ten years. In ten years, probably ninety percent of miles
• 22:03
  Speaker 3: driven will be autonomous. Huh wow that fast. Yeah. In
• 22:08
  Speaker 3: five years, probably fifty percent of miles will driven will
• 22:12
  Speaker 3: be autonomous.
• 22:12
  Speaker 4: Now, if AI will be smarter than any persons, how
• 22:15
  Speaker 4: many jobs go away because of that? And what do
• 22:20
  Speaker 4: people do if you've got billions of people that are
• 22:22
  Speaker 4: losing their jobs like that, A lot of people are
• 22:24
  Speaker 4: understandably freaked out about that.
• 22:26
  Speaker 3: Well, goods and services will become close to free. So
• 22:33
  Speaker 3: it's not as though people will be wanting in terms
• 22:35
  Speaker 3: of goods and services.
• 22:37
  Speaker 1: So why is that?
• 22:37
  Speaker 3: What?
• 22:38
  Speaker 4: Why are goods and services free in an AI world
• 22:41
  Speaker 4: or close to free?
• 22:42
  Speaker 3: Well, you have I don't know, call it tens of
• 22:45
  Speaker 3: billions of robots. They will they will make you anything
• 22:50
  Speaker 3: or provide any service you want for basically next to nothing.
• 22:56
  Speaker 3: It's it's not that people will be will have a
• 22:59
  Speaker 3: lower standable I mean, they'll have actually much higher standard
• 23:01
  Speaker 3: of living. But the challenge will be fulfillment. How do
• 23:06
  Speaker 3: you drive fulfillment and meeting in life?
• 23:09
  Speaker 4: Is Skynet real? Like you get the apocalyptic visions of AI?
• 23:15
  Speaker 4: How real is the prospect of killer robots annihilating humanity?
• 23:21
  Speaker 3: Likely? Maybe ten percent?
• 23:23
  Speaker 1: On what timeframe?
• 23:25
  Speaker 3: Fat ten years so soon?
• 23:27
  Speaker 1: Like you you see a world where that's possible.
• 23:31
  Speaker 3: Yeah, But I mean you can look at it like
• 23:32
  Speaker 3: the glasses eighty ninety percent full, meaning like eighty percent
• 23:37
  Speaker 3: likely will have extreme prosperity for all.
• 23:41
  Speaker 4: Now, I guess my view, we're in a race to
• 23:44
  Speaker 4: win AI. We're in a race with China, and my
• 23:47
  Speaker 4: view is if they're going to be killer robots, I'd
• 23:49
  Speaker 4: rather they be American killer robots than Chinese. How likely
• 23:54
  Speaker 4: are we winning right now? Is America winning right now?
• 23:56
  Speaker 4: And how likely is America to win the race for
• 23:59
  Speaker 4: AI v to be China or anyone else?
• 24:01
  Speaker 3: Well the next few years, I think America is likely
• 24:03
  Speaker 3: to win. Then it will be a function of who
• 24:06
  Speaker 3: controls the AI chip fabrication, if the factories that make
• 24:11
  Speaker 3: the AI chifs who controls them, If they are controlled,
• 24:15
  Speaker 3: if more of them will controlled by China than China
• 24:17
  Speaker 3: will win.
• 24:18
  Speaker 4: More of the factories that are making the AI chips.
• 24:20
  Speaker 4: You think that will determine it? Yes, And how are
• 24:23
  Speaker 4: we doing versus China on that front?
• 24:26
  Speaker 3: Well, right now, almost all the advanced AI chip factories
• 24:31
  Speaker 3: they call them babs are in Taiwan.
• 24:35
  Speaker 1: And what if China invaded one miles away from what
• 24:38
  Speaker 1: happens if China.
• 24:39
  Speaker 4: China invades Taiwan, what happens to the world.
• 24:43
  Speaker 3: Well, if they were to invade in the nea term,
• 24:47
  Speaker 3: the world would be cut off from advanced AI chips.
• 24:50
  Speaker 3: And currently one percent of advanced AI chips are made
• 24:53
  Speaker 3: in Taiwan.
• 24:54
  Speaker 2: How fast can we put that online in America? How
• 24:56
  Speaker 2: important is that for national security?
• 24:58
  Speaker 3: I think it's essential for national security, and we're not
• 25:01
  Speaker 3: doing enough.
• 25:02
  Speaker 4: You're fifty three years old. I'm one hundred and eighteen
• 25:04
  Speaker 4: days older than you. By what the hell have I
• 25:06
  Speaker 4: done in my life?
• 25:07
  Speaker 1: I know?
• 25:07
  Speaker 3: Right?
• 25:08
  Speaker 1: Fifty three years old?
• 25:10
  Speaker 3: Well, well, so seventy one was a great year.
• 25:15
  Speaker 4: And I was December seventy because I was just just
• 25:17
  Speaker 4: right before you were the summer of seventy one.
• 25:21
  Speaker 3: I was born sixty nine days after four twenty.
• 25:23
  Speaker 1: Wow, I did ask Ben, this is true.
• 25:27
  Speaker 4: Look, I did ask Ben, should I show up and
• 25:32
  Speaker 4: pull up a joint and say can we beat Rogan's views?
• 25:35
  Speaker 4: But I was pretty sure it might cause a scandal
• 25:38
  Speaker 4: if we spent a podcast.
• 25:40
  Speaker 3: It just turned out to be like a chocolate cigarden. Yeah.
• 25:45
  Speaker 4: Let me ask you if today was your last day
• 25:47
  Speaker 4: on Earth. Yeah, well, I'm not suggesting it's going to be.
• 25:51
  Speaker 4: But if it were, what do you think your biggest
• 25:52
  Speaker 4: legacy would be if everything you've done one hundred years
• 25:55
  Speaker 4: from now? What do you think people would remember if
• 25:58
  Speaker 4: if it were zero to today?
• 26:01
  Speaker 3: And will you ever go to space in the in
• 26:04
  Speaker 3: the distant future, one hundred or one thousand years ago?
• 26:07
  Speaker 3: If SpaceX got humans to Mars, that's what they would
• 26:10
  Speaker 3: remember me for.
• 26:12
  Speaker 1: All Right, final set of questions.
• 26:13
  Speaker 4: Who's the smartest guy you've ever met? You hang out
• 26:16
  Speaker 4: with some brilliant people, Like like, when you look at
• 26:18
  Speaker 4: what's a CEO? You look at other than yourself, what CEO?
• 26:22
  Speaker 3: Do you say?
• 26:24
  Speaker 1: Damn, that guy's good.
• 26:25
  Speaker 3: Larry Elson's very smart. So I say, Larry Elson's one
• 26:30
  Speaker 3: of the smartest people you know, Larry Page. I mean,
• 26:35
  Speaker 3: there are a lot of people that are very smart
• 26:36
  Speaker 3: it's hard to say. Like, you know, I think something
• 26:38
  Speaker 3: to be smart is as smart as so you know,
• 26:42
  Speaker 3: what if what have they done that is difficult and significant?
• 26:49
  Speaker 3: You know, Jeff Bezos has not a lot of difficult
• 26:51
  Speaker 3: and significant things. I mean, there are a lot of
• 26:55
  Speaker 3: smart humans. I call them smart for smart for a human,
• 26:58
  Speaker 3: A lot of people who are in the smart for
• 27:00
  Speaker 3: a human category.
• 27:01
  Speaker 1: All right, final lightning round, Star Wars or Star Trek.
• 27:05
  Speaker 3: The first movie I saw in the theater was Star Wars,
• 27:07
  Speaker 3: so I think it had a profound effect on me.
• 27:09
  Speaker 3: I'm six years old. I think, imagine, best first movie
• 27:13
  Speaker 3: you ever see in a theater is Star Wars. It's
• 27:16
  Speaker 3: gonna blaw her mind.
• 27:17
  Speaker 1: Best Star Wars.
• 27:17
  Speaker 3: Movie Empires Trucks Back.
• 27:20
  Speaker 1: The only objectively right answer.
• 27:22
  Speaker 4: I stood in line in three hours with my dad
• 27:24
  Speaker 4: to see it on opening day.
• 27:26
  Speaker 3: Kirk or Picard, I like them both.
• 27:29
  Speaker 4: For Kirk again, objectively right answer. By the way, James T.
• 27:34
  Speaker 4: Kirk is a Republican and Picard is a Democrat, and
• 27:37
  Speaker 4: the left gets very mad when I say that best
• 27:41
  Speaker 4: Star Trek.
• 27:41
  Speaker 3: Movie, I mean the original, the first Star Trek movie.
• 27:45
  Speaker 3: That's okay, most of both of both. Wrath of cons
• 27:51
  Speaker 3: were pretty good. But yeah, the original wrath of kN.
• 27:54
  Speaker 1: Ricardo Montaban revenge is a dish best served cold. It
• 27:59
  Speaker 1: is very a.
• 28:00
  Speaker 4: Cold in space, although I will say Rathacon is objectively
• 28:05
  Speaker 4: the right answer. But but four is a sleeper. When
• 28:07
  Speaker 4: they go back to San Francisco and and and go
• 28:10
  Speaker 4: find the whales and and you know, Scotty picks up
• 28:14
  Speaker 4: picks up the mouth and talks to it and goes
• 28:16
  Speaker 4: a keyboard.
• 28:16
  Speaker 1: How quaint that's a sleeper?
• 28:19
  Speaker 3: All right?
• 28:19
  Speaker 1: Last question? Did Han shoot first?
• 28:24
  Speaker 3: It seemed like he shot second.
• 28:25
  Speaker 1: This is verdict.
• 28:26
  Speaker 4: And by the way, I apologize Ben so Ben was
• 28:29
  Speaker 4: a jock and played tennis at ole miss and so
• 28:31
  Speaker 4: so occasionally when when we geek out a little and
• 28:34
  Speaker 4: y'all geek.
• 28:35
  Speaker 3: Out over, there is still on the question I love
• 28:38
  Speaker 3: you miss his The alien misses fast shot. So why
• 28:41
  Speaker 3: do you miss his vast shot? Must have been because
• 28:43
  Speaker 3: he got shot first and he's missing a point blank
• 28:46
  Speaker 3: bassil shot. If they less, they got knocked off kids.
• 28:48
  Speaker 4: But it's a question of real which is is Han
• 28:52
  Speaker 4: Solo simply a hero or an anti hero? And and
• 28:55
  Speaker 4: so I'm in the Han shot first category. I don't
• 28:58
  Speaker 4: like sanitized stories would have.
• 29:00
  Speaker 3: Had to have shot first, because otherwise, why why would
• 29:02
  Speaker 3: the alien miss appoint blank range? Are you ever going
• 29:05
  Speaker 3: to go to outer space? Is that saying in your
• 29:07
  Speaker 3: life goals? Yeah, I'd like to go to Mars at
• 29:09
  Speaker 3: some point. And people have said do I want to
• 29:12
  Speaker 3: die in maz and I say yes, just not an impact.
• 29:15
  Speaker 1: Now, that's a very good answer.
• 29:17
  Speaker 4: The astronauts on the space station, are they political prisoners?
• 29:22
  Speaker 4: Some of them are because because you could have given
• 29:25
  Speaker 4: them a ride back, and.
• 29:28
  Speaker 1: Joe Biden said no, purely for politics.
• 29:30
  Speaker 3: Yeah, I mean, you know, there's been some debate about
• 29:34
  Speaker 3: this online. But the thing is that it was very
• 29:36
  Speaker 3: a very high level decision, so it wasn't really even
• 29:39
  Speaker 3: an acid decision. It was just that the Biden White
• 29:43
  Speaker 3: House did not want to have someone who is pro
• 29:47
  Speaker 3: Trump rescuing Askrowt's rife before the election, so they pushed it.
• 29:52
  Speaker 4: Well, if you're one of those astronauts, you got to
• 29:53
  Speaker 4: be pretty pissed off about that.
• 29:55
  Speaker 3: Well, if they're a Democrat, yes, a prat like everything's fine,
• 30:01
  Speaker 3: fair enough. So I think one of them is a
• 30:03
  Speaker 3: repulicable incident. It depends on which one you ask.
• 30:06
  Speaker 1: Well, thank you Elan, this was this was awesome.
• 30:09
  Speaker 4: And let me say, and by the way, I put
• 30:12
  Speaker 4: out on X the day before yesterday, if you were
• 30:15
  Speaker 4: having a beer with Elon and could ask him anything,
• 30:16
  Speaker 4: what would you ask? And got lots of responses. The
• 30:20
  Speaker 4: most common response people said is is say thank you. Look,
• 30:24
  Speaker 4: Texans and the American people appreciate what you're doing. You
• 30:27
  Speaker 4: don't have to put up with this bs, and you're
• 30:29
  Speaker 4: doing it. I'm grateful. You're making a hell of a
• 30:32
  Speaker 4: difference for this country. I appreciate you, and the Americans
• 30:35
  Speaker 4: appreciate you.
• 30:35
  Speaker 3: Yeah, it's essential for the future of civilization. Otherwise I
• 30:38
  Speaker 3: wouldn't be doing it. Yes, it's not like I want
• 30:39
  Speaker 3: to get death threats. You know, Now, what.
• 30:42
  Speaker 4: Year does man first set foot on Mars?
• 30:45
  Speaker 3: I think the soonest would be twenty nine, twenty nine, yes,
• 30:50
  Speaker 3: and I don't think it's more than two to four
• 30:53
  Speaker 3: years beyond that.
• 30:54
  Speaker 4: And that's not an unman, that's that's a human being
• 30:57
  Speaker 4: putting his foot on the surface.
• 30:58
  Speaker 3: Yes, best case twenty nine.
• 31:00
  Speaker 4: And what do you put the odds of finding either
• 31:04
  Speaker 4: alien life or evidence of alien life.
• 31:07
  Speaker 3: I don't think we're going to find aliens.
• 31:08
  Speaker 1: Okay, but do we find ruins, do we find remnants?
• 31:11
  Speaker 3: We may we may find the ruins of a long
• 31:13
  Speaker 3: dead alien civilization. That's possible, And we may find subterranean
• 31:18
  Speaker 3: microbial life. That's possible.
• 31:20
  Speaker 1: All right.
• 31:20
  Speaker 4: If man lands on Mars and twenty nine, how soon
• 31:23
  Speaker 4: after that do you land on.
• 31:25
  Speaker 3: Mars remains to be seen. I'm not sure. The important
• 31:28
  Speaker 3: thing is that we build a self sustaining city on
• 31:32
  Speaker 3: Mars as quickly as possible. The key threshold is when
• 31:37
  Speaker 3: that city can't continue to grow, continue to prosper even
• 31:41
  Speaker 3: when the supply ships from Earth stopped coming. At that point,
• 31:45
  Speaker 3: even if something would happen on Earth, it might not
• 31:48
  Speaker 3: be World War.
• 31:49
  Speaker 1: Three, but it might be that a bad virus.
• 31:53
  Speaker 3: Yeah, it might not be anything. It's like, let's say
• 31:56
  Speaker 3: civilization you could die with a bang or whooper. It
• 31:58
  Speaker 3: may be that civilization is dies with a whimper rather
• 32:01
  Speaker 3: than a bang and simply loses the ability to send
• 32:04
  Speaker 3: ships to Mars. So you often need Mars to become
• 32:08
  Speaker 3: self sustaining and be able to grow by itself before
• 32:12
  Speaker 3: the recupply ships from Earth stopped coming. That is the
• 32:15
  Speaker 3: critical a civilizational threshold, beyond which the probable last span
• 32:20
  Speaker 3: of civilization is much greater.
• 32:22
  Speaker 4: And how close are we technologically to be able to
• 32:25
  Speaker 4: do that, to have a self sustaining settlement on the
• 32:29
  Speaker 4: surface of Mars.
• 32:29
  Speaker 3: I think it can be done in twenty years, but it.
• 32:31
  Speaker 4: Would take twenty years, so we're not in twenty nine.
• 32:34
  Speaker 4: We're not there. What are we missing?
• 32:35
  Speaker 1: What are the big technologies?
• 32:37
  Speaker 3: We don't have a few people running around the surface
• 32:40
  Speaker 3: in a hostile environment is not going to make it
• 32:41
  Speaker 3: self sustaining. So you're going to need on the order
• 32:43
  Speaker 3: of a million people, maybe a million tons of cargo.
• 32:46
  Speaker 4: So but you think we could have a million people
• 32:48
  Speaker 4: on Mars in twenty years, yes, And what's the technology
• 32:52
  Speaker 4: we're missing right now? When you think about a million
• 32:54
  Speaker 4: people on Mars? Do we have the ability to get water,
• 32:57
  Speaker 4: to get food, to keep them safe?
• 33:00
  Speaker 1: I mean, what what do we need to make that happen?
• 33:01
  Speaker 3: Well, you need to recreate the entire base of industry Earth.
• 33:04
  Speaker 3: So you know, we're here at the top of a
• 33:07
  Speaker 3: massive permitive industry that starts with mining a vast array
• 33:12
  Speaker 3: of materials. Those materials going through hundreds of steps of refinement.
• 33:17
  Speaker 3: We grow food, obviously, we grow trees, we make things
• 33:21
  Speaker 3: out of the trees. There's you know, you've got to
• 33:24
  Speaker 3: you've got to build all that on Mars, and Mars
• 33:26
  Speaker 3: is a hostile environment. It's you know, it sometimes gets
• 33:29
  Speaker 3: above zero on a warm summer day near the equator
• 33:32
  Speaker 3: on Mars. Meanly, it's quite cold. How do you prep
• 33:35
  Speaker 3: for that? Well, in the beginning, on Mars, you have
• 33:37
  Speaker 3: to have a life support habitation module, right, like you
• 33:42
  Speaker 3: need You can't just live outdoors. You can't breathe the.
• 33:44
  Speaker 1: Air like a dome you think is likely?
• 33:46
  Speaker 3: Yeah, glass domes type of thing.
• 33:48
  Speaker 4: Have you identified a location on Mars that is likely
• 33:52
  Speaker 4: to be ideal for a habitat?
• 33:54
  Speaker 3: What might be Arcadia planet? Here is one of the
• 33:58
  Speaker 3: one of the good options. That's one of my daughters
• 34:01
  Speaker 3: is named Arcadia after that.
• 34:04
  Speaker 1: And what makes that attractive.
• 34:05
  Speaker 3: My eldest son's middle name is Ari's Mars. You've been
• 34:09
  Speaker 3: thinking about this for a long time. If you're name
• 34:11
  Speaker 3: and your kids around it. My eldest kid is middle
• 34:14
  Speaker 3: name is essentially Mars. When did you get the dream? Like,
• 34:17
  Speaker 3: I mean it's twenty twenty one soon, this is decades old? Yeah, dream?
• 34:22
  Speaker 4: So like when you were ten, did you look up
• 34:23
  Speaker 4: and say I'm going to Mars.
• 34:25
  Speaker 3: No No. I read a lot of science fiction books
• 34:29
  Speaker 3: and program computers. But the first finally off. The first
• 34:32
  Speaker 3: video game that I sold was a space video game
• 34:36
  Speaker 3: called Blastar. Maybe I was born this way?
• 34:39
  Speaker 1: How do you do?
• 34:40
  Speaker 4: How do you become Elon Musk? Look, you're obviously smart
• 34:44
  Speaker 4: as hell, but but there are lots there are a
• 34:46
  Speaker 4: lot of smart people that don't do squat And you've
• 34:49
  Speaker 4: managed everything you've touched has been an extraordinary success. Yeah, yeah, Look,
• 34:56
  Speaker 4: I mean that's just objectively right.
• 34:57
  Speaker 1: So what has led to that?
• 34:59
  Speaker 4: Because there are others are people that that's not true,
• 35:01
  Speaker 4: and they gaze at their nable and they don't do anything.
• 35:03
  Speaker 4: So what do you do differently that makes you so effective?
• 35:07
  Speaker 3: Well, I suppose I have a philosophy of curiosity. I
• 35:09
  Speaker 3: want to find out the nature of the universe, understand
• 35:11
  Speaker 3: the universe, And in order to do that, we have
• 35:14
  Speaker 3: to travel to other planets, see other star systems, maybe
• 35:17
  Speaker 3: other galaxies, find perhaps other alien civilizations, or at least
• 35:21
  Speaker 3: the remnants of alien civilizations, gain a better understanding of
• 35:25
  Speaker 3: words universe going ready to come from? And what questions
• 35:28
  Speaker 3: do we not yet know to ask about the answer
• 35:31
  Speaker 3: that is the universe.
• 35:32
  Speaker 4: So let's go back twenty five years, late nineties.
• 35:36
  Speaker 1: You're at PayPal. How do you turn PayPal into the
• 35:38
  Speaker 1: success it was, which which then helped launch you to
• 35:41
  Speaker 1: the next one?
• 35:41
  Speaker 3: In the next one. Yeah, So I studied physics and
• 35:44
  Speaker 3: economics and college, which is a good foundation for understanding
• 35:47
  Speaker 3: how the economy works and how reality works, and then
• 35:52
  Speaker 3: was going to do a PhD at Stanford in advanced
• 35:57
  Speaker 3: ultra capacitors actually as a potential means of energy storage
• 36:02
  Speaker 3: for electric transport. Put that on hold to start an
• 36:06
  Speaker 3: Internet company. Essentially came to the conclusion that the Internet
• 36:10
  Speaker 3: was one of those rare things and I could either
• 36:13
  Speaker 3: watch it happen while a grad student or participated. And
• 36:15
  Speaker 3: I figured, I've always go back to grad school. Grad
• 36:18
  Speaker 3: school is going to be kind of the same. But
• 36:20
  Speaker 3: I couldn't betther thought of just watching the Internet happen.
• 36:23
  Speaker 3: So I wanted to be a part of building it.
• 36:24
  Speaker 3: So I created an Internet Internet company. We did the
• 36:28
  Speaker 3: first maps, directions, yellow pages, white pages on the Internet.
• 36:31
  Speaker 3: I actually wrote the first version of Suffered just by
• 36:34
  Speaker 3: myself in ninety five, and we ended up selling that
• 36:38
  Speaker 3: to Compact Texas company. I guess for about three hundred
• 36:42
  Speaker 3: million dollars in cash about four years after I graduated. Wow.
• 36:45
  Speaker 3: So I should say just to preface that I graduated
• 36:49
  Speaker 3: with about one hundred thousand dollars a student debt. So
• 36:51
  Speaker 3: it wasn't yeah you and me about yeah, yeah, I know.
• 36:57
  Speaker 3: And when I first arrived in North America, I arrived
• 36:59
  Speaker 3: with twenty five hundred dollars, a bag of books and
• 37:02
  Speaker 3: a bag of clothes.
• 37:03
  Speaker 4: All right, So you sell the company for three hundred million,
• 37:05
  Speaker 4: How much does that change your life?
• 37:07
  Speaker 3: Well, I got twenty one million dollars that jack, But
• 37:13
  Speaker 3: I wanted to do more on the internet, so started
• 37:16
  Speaker 3: a company called x dot com, which merch with a
• 37:19
  Speaker 3: company called Confinity, which is Peter Teel and Max Levchun yep.
• 37:23
  Speaker 3: And the combined company was actually at first still called
• 37:26
  Speaker 3: x dot com, but we later later changed the name
• 37:28
  Speaker 3: of the company to PayPal. Because of all the name changes,
• 37:31
  Speaker 3: it's kind of confusing. But the company that people know
• 37:34
  Speaker 3: is know as PayPal today was actually I filed those
• 37:38
  Speaker 3: in corporation documents for that company. Interesting.
• 37:40
  Speaker 4: Yeah, well, And as you know, Peter Tiel and I
• 37:43
  Speaker 4: were buddies back in the mid nineties before he went
• 37:46
  Speaker 4: and did any of this. But you know, I became
• 37:48
  Speaker 4: friends with him when he was a corporate lawyer in
• 37:50
  Speaker 4: New York and just sort of a young libertarian with
• 37:52
  Speaker 4: a lot of dreams.
• 37:53
  Speaker 1: So it's been a heck of a journey.
• 37:56
  Speaker 3: Yeah. Yeah, Now, Sly Peter was involved in a coup.
• 38:00
  Speaker 3: We had a little sort of knifing in the Senate situation,
• 38:03
  Speaker 3: uh where you know that they did Coon met at
• 38:10
  Speaker 3: at PayPal.
• 38:12
  Speaker 1: I kind of did you all make peace after that?
• 38:14
  Speaker 3: Yeah? Yeah, yeah, I mean I was doing a lot
• 38:17
  Speaker 3: of sort of risky moves that I think ultimately would
• 38:19
  Speaker 3: have been successful. But I then went on a two
• 38:23
  Speaker 3: week trip which was a dual money raising trip and honeymoon,
• 38:28
  Speaker 3: and said not done my honeymoon earlier in the year,
• 38:31
  Speaker 3: So it's raising money while doing doing holly honeymoon. But
• 38:33
  Speaker 3: I was kind of awake. Did that go over by
• 38:35
  Speaker 3: the way it worked? It worked? There you go, kind
• 38:38
  Speaker 3: of worked. I raised money, yeah, and we had honeymoon
• 38:41
  Speaker 3: there you go. So yeah, but you don't want to
• 38:44
  Speaker 3: be away from the battle when things are scary, so
• 38:48
  Speaker 3: I was not there to assuage the concerns of the troops.
• 38:51
  Speaker 3: And anyway, Uh, we passed things up, and I have
• 38:57
  Speaker 3: been friends nonetheless, and you know these days all like
• 39:01
  Speaker 3: stay at his house and stuff, So super friends. And
• 39:03
  Speaker 3: he's also invested in most of my companies.
• 39:07
  Speaker 4: All right, So two thousand and two you start SpaceX,
• 39:10
  Speaker 4: Like how do you start a rocket company? Like what's
• 39:12
  Speaker 4: the first day where you're like, I want to make
• 39:14
  Speaker 4: rockets and I want to go to Mars?
• 39:16
  Speaker 1: Like what do you do on day one?
• 39:17
  Speaker 3: So I think you have to start with a some
• 39:19
  Speaker 3: sort of philosophical premise in order to have in order
• 39:23
  Speaker 3: for the in order to be in order to be
• 39:25
  Speaker 3: highly motivated, you have to have some philosophical foundation. In
• 39:29
  Speaker 3: my case, it was that that we want to expand
• 39:33
  Speaker 3: the scope and scale of consciousness to better understand the
• 39:37
  Speaker 3: nature of the universe. And in order to expand scate,
• 39:42
  Speaker 3: expand consciousness, we need to go beyond one planet. From
• 39:45
  Speaker 3: one planet, there's there's too much risk. You know, hopefully
• 39:48
  Speaker 3: Earth civilization prosperos very far into the future, but it
• 39:51
  Speaker 3: may not. There's always some risk that we are we
• 39:53
  Speaker 3: self annihilate through nuclear war, or that there's a big
• 39:56
  Speaker 3: meter that takes us out like the dinosaurs. Yep, there's
• 39:59
  Speaker 3: always some risk full. Your eggs are in one basket.
• 40:01
  Speaker 3: So it's going to be better if we're a multiplanet species.
• 40:04
  Speaker 3: And then once we're a multiplanet species, that the next
• 40:07
  Speaker 3: step would be to be a multi stellar and have
• 40:09
  Speaker 3: a civilization among on many different star systems. So in
• 40:14
  Speaker 3: two thousand and one, I didn't think that I could.
• 40:15
  Speaker 3: I didn't think I could sell a rocket company. So
• 40:17
  Speaker 3: I thought I'd take some of the money from PayPal
• 40:21
  Speaker 3: in that case, I think was about one hundred and
• 40:23
  Speaker 3: eighty eight million dollars after tax, something like that, and
• 40:27
  Speaker 3: I thought, you know, I don't need one hundred and
• 40:28
  Speaker 3: eighty million dollars, so I'll spend a bunch of it
• 40:31
  Speaker 3: on a philanthropic Mars mission to get the public excited
• 40:36
  Speaker 3: about going back to Mars. We're going to Mars, I
• 40:39
  Speaker 3: should say, yeah, Mars was always going to be the
• 40:42
  Speaker 3: destination after the Moon. Right. In fact, if you told
• 40:45
  Speaker 3: people in nineteen sixty nine that it would be twenty
• 40:47
  Speaker 3: twenty five and we've not even gone back to.
• 40:49
  Speaker 1: The Moon let alone, it's hard to believe.
• 40:51
  Speaker 3: Let alone Mars, they'd be like what happened in the
• 40:54
  Speaker 3: civilization collapse, like they would be incomprehensible that we've not
• 40:59
  Speaker 3: been to Mars by if you told people this after
• 41:01
  Speaker 3: landing on the Moon in sixty nine.
• 41:03
  Speaker 1: But what do you think in fifty years America never
• 41:05
  Speaker 1: went back to the moon.
• 41:06
  Speaker 3: Well, we destroyed the Saturn five rocket that was that
• 41:08
  Speaker 3: could take you to the Moon, and had the Space Shuttle,
• 41:10
  Speaker 3: which could only go to lowth orbit, and then there
• 41:13
  Speaker 3: really hasn't been anything to replace any No vehicle has
• 41:17
  Speaker 3: been made since then that can go to the Moon
• 41:20
  Speaker 3: or to Mars until the SpaceX Starship rocket. Yeah, so
• 41:24
  Speaker 3: you can't go to Mars if you don't have the ride.
• 41:26
  Speaker 4: So I remember you and I first met in twenty
• 41:30
  Speaker 4: thirteen when when I was a brand new baby senator. Yeah,
• 41:33
  Speaker 4: and I was still down in the basement office. They
• 41:35
  Speaker 4: stick freshman senators in the basement.
• 41:37
  Speaker 1: Office, kind of like hazeny.
• 41:39
  Speaker 3: Yeah, yeah, that's what say.
• 41:39
  Speaker 1: It sounds like there aree hundred sected offices. But for
• 41:42
  Speaker 1: six months you stay in the basement.
• 41:44
  Speaker 3: It's like worry, mean, you know where you're supposed to know.
• 41:48
  Speaker 1: I got to stay.
• 41:49
  Speaker 4: Now, thirteen years into it, I think there's a lot
• 41:50
  Speaker 4: of wisdom to doing that. But you were down in
• 41:54
  Speaker 4: the basement office and I remember you were coming and
• 41:55
  Speaker 4: sitting down with SpaceX and at the time the Air
• 41:58
  Speaker 4: Force was not letting you all be to launch satellites,
• 42:01
  Speaker 4: and so you were coming and saying, look, we got
• 42:03
  Speaker 4: a company. I think we can do a really good
• 42:04
  Speaker 4: job of this, and yet we're locked out of this.
• 42:06
  Speaker 4: It's a little amazing to think the journey SpaceX is
• 42:09
  Speaker 4: gone from then to now.
• 42:11
  Speaker 3: Yes, it's hard to believe that this is all real
• 42:15
  Speaker 3: because originally, consistently with my belief that we need to
• 42:18
  Speaker 3: become a multiplant species, I thought the only way to
• 42:21
  Speaker 3: do that would be through Nassau So and I think
• 42:23
  Speaker 3: I thought, well, if I can just get the public
• 42:26
  Speaker 3: excited about Mars, then they'll do a mission to Mars.
• 42:29
  Speaker 3: And so initially my thought was to have to send
• 42:31
  Speaker 3: a small greenhouse with seeds and dehydrated nutrient gel. Then
• 42:36
  Speaker 3: land the greenhouse, hydrate the seeds, and you see these
• 42:39
  Speaker 3: the sort of money shot proof. The money shot would
• 42:42
  Speaker 3: be green plants on a red background. I also recently
• 42:45
  Speaker 3: known that money shot has a different meaning in some
• 42:48
  Speaker 3: other arenas. But yeah, story, But what I'm trying to
• 42:56
  Speaker 3: say is the captivating shot would be the green plants
• 43:00
  Speaker 3: on a red background, and then hopefully that would if
• 43:03
  Speaker 3: you did something like that, that would get the public excited
• 43:05
  Speaker 3: about Mars, that would increase nasta's budget and then we
• 43:07
  Speaker 3: could send people to Mars. Dream was nasty to do this, yes,
• 43:11
  Speaker 3: not you. The original original plan was literally to take
• 43:16
  Speaker 3: a bunch of the money from PayPal and I guess
• 43:19
  Speaker 3: by some people's definition wasteed with no profit on a
• 43:23
  Speaker 3: non profit thing. I wanted to spend a whole bunch
• 43:26
  Speaker 3: of my money for free to get Nasta's budget to
• 43:28
  Speaker 3: be bigger so we could go to friggin Mars. Right, Wow,
• 43:31
  Speaker 3: that's what I wanted. So that was the holy grail,
• 43:33
  Speaker 3: That's what I wanted. I was like, so, when did
• 43:35
  Speaker 3: you Mars? That's what I wanted to know.
• 43:38
  Speaker 1: Well, when when did it strike you? Okay, you're going to.
• 43:41
  Speaker 3: Have to do this if you want, I'll tell you.
• 43:42
  Speaker 3: It gets crazier, all right, It gets crazier. So so
• 43:44
  Speaker 3: that I couldn't afford any of the US rockets because
• 43:46
  Speaker 3: as you know, the US rockets are way too expensive,
• 43:48
  Speaker 3: boying lucky rock Lucky rockets are crazy money. I didn't have.
• 43:51
  Speaker 3: I didn't even even with one hundred eight millions, so
• 43:53
  Speaker 3: way I could have afforded sure they back then well
• 43:56
  Speaker 3: the with with the additional stage to get tomorrows, it
• 44:00
  Speaker 3: would have been about like eighty million. So technically I
• 44:03
  Speaker 3: could have afforded one of them, but I wanted to
• 44:05
  Speaker 3: do too in case one of them didn't work. Yeah. So,
• 44:09
  Speaker 3: and then I didn't have enough money for that. Yeah,
• 44:10
  Speaker 3: and I was sort of prepared to, you know, I
• 44:12
  Speaker 3: don't know, waste half the money. And I figured if
• 44:16
  Speaker 3: I had ninety million left, that'd be fine, you know,
• 44:19
  Speaker 3: but ideally on all of it. So I went to
• 44:21
  Speaker 3: Russia twice to try to buy ICBMs. How'd that go?
• 44:26
  Speaker 3: And who do you call? The Russian rocket forces?
• 44:29
  Speaker 1: Do they sell ICBMs? Does that work?
• 44:31
  Speaker 3: Yeah?
• 44:33
  Speaker 2: You got to tell us a story that I want
• 44:35
  Speaker 2: to know who you can buy anything in Russia?
• 44:38
  Speaker 3: Yeah, I like, please walk me down that.
• 44:41
  Speaker 2: I want to know how you made that phone call
• 44:43
  Speaker 2: and when you get there, how did that work?
• 44:45
  Speaker 3: And what do you tell your friends? Yeah, listen, I'm
• 44:48
  Speaker 3: going to Russian device in ICBMs. I might not return,
• 44:51
  Speaker 3: you know, in this situation. Literally, Yeah, so I guess
• 44:57
  Speaker 3: slightly less insane when when you understand that the Russians
• 45:02
  Speaker 3: had to demolish a bunch of their ICBMs because of
• 45:07
  Speaker 3: you know, Soult talks like the piece because basically an
• 45:10
  Speaker 3: agreement between the United States and Russia to reduce the
• 45:13
  Speaker 3: total number of ICBMs, Russia was actually obligated to scrap
• 45:17
  Speaker 3: a bunch of their ICBMs. So you took it the
• 45:19
  Speaker 3: very biggest ICBMs. You could converte those into a rocket,
• 45:23
  Speaker 3: added additional stage and send something to Mars.
• 45:26
  Speaker 4: So those are big enough with one more stage to
• 45:28
  Speaker 4: get to Mars.
• 45:29
  Speaker 3: To send a small payload to Mars. Yeah, so the
• 45:32
  Speaker 3: s S eighteen.
• 45:33
  Speaker 4: So you try to buy CBMs, do you succeed or no?
• 45:35
  Speaker 4: Or do you figure out you got to build your
• 45:37
  Speaker 4: own instead?
• 45:38
  Speaker 3: They kept raising the price on me, so because I
• 45:41
  Speaker 3: figured like, look, they're going to throw these things in
• 45:43
  Speaker 3: scrappy on anyway, you should get a really good deal, right,
• 45:47
  Speaker 3: So the price thought out at four million. Then the
• 45:51
  Speaker 3: next conversation they were at eight million. Then the next
• 45:53
  Speaker 3: conversation they were at like nineteen million. And I'm like,
• 45:56
  Speaker 3: this is before we signed a contract.
• 45:57
  Speaker 4: By the way, was there another was there an they're
• 46:00
  Speaker 4: bit or were you the only one trying to buy them?
• 46:02
  Speaker 3: I think I don't know if there were other bits,
• 46:04
  Speaker 3: but they didn't mention any other bits. But I was like, man,
• 46:06
  Speaker 3: if if the price is increasing this much before the
• 46:08
  Speaker 3: contract signed, I'm really going to get fleeced after the contracts.
• 46:12
  Speaker 3: So so I got pretty frustrated there. Actually, in some
• 46:16
  Speaker 3: cases we got into like shouting matches in Moscow, some
• 46:21
  Speaker 3: guys shouting at me in Russia, and I'm shouting back
• 46:23
  Speaker 3: at him really badly, you know, I'm like, so you
• 46:29
  Speaker 3: are all I mean, you're all.
• 46:35
  Speaker 1: In Moscow?
• 46:35
  Speaker 3: Yeah, so, uh man, I should have recorded that. That would
• 46:40
  Speaker 3: have been one for them.
• 46:40
  Speaker 2: How many days were you there negotiating that first time?
• 46:43
  Speaker 2: I mean, was this like ongoing?
• 46:44
  Speaker 3: Yeah, yeah, this this took place. These conversations took place
• 46:48
  Speaker 3: over probably six months or so. Wow. So and then
• 46:52
  Speaker 3: the final trip trip there was with the with was
• 46:56
  Speaker 3: with Mike Revenue later became assid administrator. I actually realized
• 47:01
  Speaker 3: in the course of this that my original premise was wrong,
• 47:05
  Speaker 3: that that America actually has plenty of will to go
• 47:07
  Speaker 3: to Mars, but needs it just needs a way to
• 47:11
  Speaker 3: Mars that is affordable and that doesn't break the budget.
• 47:15
  Speaker 1: You know, just as you know, we couldn't even get
• 47:17
  Speaker 1: to the space station. We needed the Russians to get
• 47:19
  Speaker 1: us to our own space station.
• 47:20
  Speaker 3: That was embarrassing.
• 47:21
  Speaker 1: It really was pitiful.
• 47:22
  Speaker 3: I'm not sure most Americans know just how much we
• 47:24
  Speaker 3: were being fleeced. Like I think they got up to
• 47:26
  Speaker 3: like ninety million dollars a seat. Yeah, wow, Yeah, for
• 47:30
  Speaker 3: a seat that cost them like ten prege obviously, but
• 47:33
  Speaker 3: it was the only Yeah it was before SpaceX. Ninety
• 47:37
  Speaker 3: million dollars a seat for a seat that cost them
• 47:39
  Speaker 3: ten million is high. Yeah, that's a lot of money. Yeah.
• 47:44
  Speaker 4: So a few months ago you and I were down
• 47:46
  Speaker 4: in Boca Chica with a president for a starship launch,
• 47:49
  Speaker 4: and it is incredible what you built in Boca Chica.
• 47:52
  Speaker 4: You know, five years ago it was an empty beach.
• 47:55
  Speaker 3: At the southern tip of the Sundbar. Yeah, and it's.
• 47:58
  Speaker 4: Now a city and factory where you're building a rocket
• 48:01
  Speaker 4: ship a month with with incredible precision. But one of
• 48:05
  Speaker 4: the things you said to me when we were down
• 48:06
  Speaker 4: there that really stood out to me is is you
• 48:09
  Speaker 4: said your philosophy on intellectual property talked to lots of
• 48:13
  Speaker 4: CEOs or we fight to guard our IP and you
• 48:16
  Speaker 4: had a very different approach. What's what's your view of IP.
• 48:19
  Speaker 3: Patents of the week, patents of for those that innovate slowly.
• 48:24
  Speaker 4: I literally do not know anyone else in business who
• 48:27
  Speaker 4: would say something like that, like like it was a
• 48:29
  Speaker 4: startling and and and and what Elon said down there
• 48:32
  Speaker 4: is he said, look this stuff, I assume everyone will
• 48:34
  Speaker 4: steal everything, but by the time they steal it will
• 48:36
  Speaker 4: be five generations beyond and it won't matter.
• 48:38
  Speaker 3: Yes, at Tesla, we actually open sourcial lat patents. So
• 48:42
  Speaker 3: we said our patents are anyone can use it for free.
• 48:45
  Speaker 3: Really yeah, uh, the only really your patents of Tesla
• 48:49
  Speaker 3: to to avoid patent trolls causing causing trouble. So we'll
• 48:54
  Speaker 3: try to look ahead and say, okay, patent trolls are
• 48:56
  Speaker 3: going to trial pat file patents to blocks and things,
• 48:59
  Speaker 3: will FIP patents and then open sources make it free.
• 49:02
  Speaker 3: I mean, I want to say patents for the week. Now.
• 49:04
  Speaker 3: There are a few cases, in say with pharmaceuticals, where
• 49:08
  Speaker 3: it might cost you billion dollars to do a phase
• 49:10
  Speaker 3: three human file, but then subsequently the drug is very
• 49:14
  Speaker 3: cheap to manufacture. So cases there are some in my opinion,
• 49:18
  Speaker 3: which would massively reduce what can be patented and and
• 49:22
  Speaker 3: say because the whole point of patenting is to maximize innovation,
• 49:26
  Speaker 3: not inhibit it. And in my opinion, maybe a controversial opinion,
• 49:31
  Speaker 3: most patents inhibit innovation, they do not help it. But
• 49:35
  Speaker 3: there are case I want to do one a single
• 49:37
  Speaker 3: cases like where such as a phase three clinical trial
• 49:40
  Speaker 3: that might cost a billion dollars, but then the drugs
• 49:42
  Speaker 3: thereafter cost a few dollars to manufacture, and if you
• 49:46
  Speaker 3: can then immediately copy those drugs for a few dollars,
• 49:48
  Speaker 3: no one will pay for the billion dollars free writer problem. Yeah, exactly,
• 49:52
  Speaker 3: So you have to address the free writer problem. But
• 49:54
  Speaker 3: other than that, there should be no patents. The ideas
• 49:57
  Speaker 3: are easy.
• 49:58
  Speaker 2: You want ideas to flow maximum to people to get
• 50:01
  Speaker 2: there faster and do things bigger.
• 50:03
  Speaker 3: The idea is the easy part. The herd execution is
• 50:06
  Speaker 3: the hard part. As the old saying goes, it's one
• 50:09
  Speaker 3: percent inspiration, if not less than one percent and nineteen
• 50:12
  Speaker 3: nine percent perspiration.
• 50:13
  Speaker 4: But I'll say the perspiration part you're really damn good at.
• 50:16
  Speaker 4: Also because you're making you know, the companies you're building
• 50:20
  Speaker 4: are actually building stuff. They're building cars, they're building spaceships,
• 50:24
  Speaker 4: they're building things that if they don't work, it's a
• 50:26
  Speaker 4: real problem. And the precision you manufacture things with, how
• 50:31
  Speaker 4: do you get that level of precision? How do you
• 50:33
  Speaker 4: get how do you build a culture? You're not You're
• 50:36
  Speaker 4: amazing at thinking outside the box. But what's interesting is
• 50:39
  Speaker 4: you may even be better at execution, which is how
• 50:43
  Speaker 4: do you execute so effectively well.
• 50:45
  Speaker 3: I take as expost principles approach to everything. It's not
• 50:48
  Speaker 3: as though I wanted to in source manufacturering, It's just
• 50:52
  Speaker 3: that I was unable to outsource it effectively. So, you know,
• 50:56
  Speaker 3: the idea of the beginning of Tesla was that we
• 50:58
  Speaker 3: would outsource almost all the manufacturing. But then it turned
• 51:03
  Speaker 3: out there was no there were no good companies to
• 51:06
  Speaker 3: outsourced manufacturing too, which there wasn't a really really, it
• 51:10
  Speaker 3: wasn't peaceable. Outsourced manufacturing actually is the exception of the rule.
• 51:15
  Speaker 3: And uh and just over time, we had to insource
• 51:18
  Speaker 3: almost everything for Tesla and same for SpaceX. I became
• 51:21
  Speaker 3: very good at manufacturing because I had to lose no choice.
• 51:24
  Speaker 3: At this point, I might know more about manufacturing than
• 51:27
  Speaker 3: any any human ever has, because I've done so many
• 51:29
  Speaker 3: I've manufactured so many different things, and so many different arenas.
• 51:33
  Speaker 3: I think probably more than anyone ever has.
• 51:35
  Speaker 4: Look, that's that sounds like an astonishing statement, but it's
• 51:39
  Speaker 4: not a crazy statement. And you're somehow running Tesla and
• 51:43
  Speaker 4: running SpaceX and running X and running the boring company
• 51:46
  Speaker 4: and running Nourlink and doing doge.
• 51:49
  Speaker 1: How much do you sleep in a given night?
• 51:51
  Speaker 3: About six hours and average so about.
• 51:53
  Speaker 4: Six So that's it wouldn't have shocked me if you
• 51:55
  Speaker 4: said three or four.
• 51:56
  Speaker 3: So the Crenet struction is how many hours do you
• 51:58
  Speaker 3: work a day? I work almost every working.
• 52:01
  Speaker 4: Hour, and Ben, he's not kidding that. Like when Elan
• 52:04
  Speaker 4: and I were first getting to know each other, I suggested,
• 52:07
  Speaker 4: I said, hey, let let's grab dinner sometime.
• 52:09
  Speaker 1: And I don't know if you remember what you said.
• 52:10
  Speaker 1: You said, I don't eat dinner.
• 52:12
  Speaker 3: I don't have social dinners really.
• 52:14
  Speaker 1: Right, I mean that, Yeah, I mean you obviously eat food, but.
• 52:17
  Speaker 3: Yeah, idea going to a restaurant for two hours, But.
• 52:20
  Speaker 4: The idea of like, I don't, But it was it
• 52:23
  Speaker 4: was just kind of matter of fact, why would I
• 52:25
  Speaker 4: go to dinner like you up?
• 52:28
  Speaker 1: You work?
• 52:28
  Speaker 3: Uh yeah, I literally just thought I'll have lunch and
• 52:31
  Speaker 3: then it brought during meetings and continue being.
• 52:33
  Speaker 2: How many nights have you slept at your offices?
• 52:36
  Speaker 3: You think your career percentage.
• 52:38
  Speaker 2: Wise where you say, I just got to take this
• 52:40
  Speaker 2: nap basically because my body forces me to, and I
• 52:43
  Speaker 2: got to get back to work fast and efficiently without
• 52:45
  Speaker 2: going somewhere else.
• 52:46
  Speaker 3: Well, I guess it started out even with the first company,
• 52:51
  Speaker 3: uh SO two, which is a terrible name, but the
• 52:53
  Speaker 3: first internet company. The we're able to rent an office
• 52:58
  Speaker 3: which was like in a leaky attack, essentially four five
• 53:01
  Speaker 3: hundred dollars a month, and the cheapest apartment we could
• 53:05
  Speaker 3: find just eight hundred dollars a month. So like, and
• 53:08
  Speaker 3: we only had about five thousand dollars between our brother
• 53:10
  Speaker 3: and I, so like, we're not we'll just stay in
• 53:14
  Speaker 3: the office. Yep. So we got some couches that converted
• 53:18
  Speaker 3: into beds and we'd can't sleep at night, and then
• 53:21
  Speaker 3: we just have like turn the beds back into couches
• 53:25
  Speaker 3: before anyone came, and then we would shout the YMCA
• 53:28
  Speaker 3: down the road and so that went that that that
• 53:31
  Speaker 3: that literally was for several months. What we did, it
• 53:34
  Speaker 3: was in great shape, you know, work out the way.
• 53:37
  Speaker 3: I still remember that that YMCA at page Miller al
• 53:41
  Speaker 3: Camino in Palo Alto.
• 53:43
  Speaker 1: So that was a long time.
• 53:44
  Speaker 3: Again, so it's been I don't know. I've never thought
• 53:47
  Speaker 3: to count it, but several hundred days maybe, I don't know.
• 53:50
  Speaker 1: So you're now the richest man on earth.
• 53:52
  Speaker 4: Do you still sleep in the office, Well, that's true,
• 53:56
  Speaker 4: maybe Mars.
• 53:56
  Speaker 1: We'll find someone else, but.
• 53:58
  Speaker 3: I think if someone is a sovereign head of a country,
• 54:01
  Speaker 3: there to facto Richard by Allot.
• 54:03
  Speaker 1: Do you still sleep at the office now?
• 54:04
  Speaker 3: I have sometimes slept at the office. Yeah.
• 54:06
  Speaker 2: As always, thank you for listening to Verdict with Sentner,
• 54:10
  Speaker 2: Ted Cruz, Ben Ferguson with you don't forget to deal
• 54:12
  Speaker 2: with my podcast and you can listen to my podcast
• 54:15
  Speaker 2: every other day you're not listening to Verdict or each
• 54:17
  Speaker 2: day when you listen to Verdict. Afterwards, I'd love to
• 54:19
  Speaker 2: have you as a listener to again the Ben Ferguson podcasts,
• 54:22
  Speaker 2: and we will see you back here on Monday morning.