Latest / The Ben Ferguson Podcast / Elon Musk: 1-on-1 Exclusive at the White House-DOGE, AI, Trump, Mars & Killer Robots (Part 1)

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Elon Musk: 1-on-1 Exclusive at the White House-DOGE, AI, Trump, Mars & Killer Robots (Part 1) · The Ben Ferguson Podcast

• 0:00
  Speaker 1: Welcome. It is Verdict with Center, Ted Cruz, Ben Ferguson
• 0:03
  Speaker 1: with you. And today is a very special day as
• 0:07
  Speaker 1: we are doing part one of our two part conversation
• 0:11
  Speaker 1: at the White House with Elon Musk.
• 0:14
  Speaker 2: Now.
• 0:15
  Speaker 1: Elon is going to break news during today and Wednesday's
• 0:19
  Speaker 1: show on Doge and some credible, shocking information about corruption
• 0:23
  Speaker 1: within our government. I want to make sure you hit
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  Speaker 1: that subscribe button, that auto download button right now so
• 0:30
  Speaker 1: you do not miss part two on Wednesday. Also, please
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  Speaker 1: help this go viral as we're exposing government waste by
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  Speaker 1: are on. But before we get to that, after more
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  Speaker 1: dot org. So, without any further ado, here is part
• 1:59
  Speaker 1: one of our sit down conversation at the White House
• 2:03
  Speaker 1: with Elon Musk.
• 2:04
  Speaker 3: Well, we're in the White House. What right now? And
• 2:06
  Speaker 3: we're here with my friend Elon Musk, who really has
• 2:10
  Speaker 3: not been doing much of anything, has not made any
• 2:12
  Speaker 3: news is and nobody has noticed. Yeah the impact. Welcome Elon.
• 2:18
  Speaker 2: Thank you.
• 2:18
  Speaker 3: Holy crap.
• 2:19
  Speaker 2: Oh yes wow. Let me just say, never a dull moment.
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  Speaker 3: Never a dull moment. The first fifty days the president
• 2:27
  Speaker 3: has spent in office over the top, and the first
• 2:31
  Speaker 3: fifty days you've spent. I don't think there's ever been
• 2:34
  Speaker 3: anyone to have an impact the way you have. At
• 2:35
  Speaker 3: the beginning, let me start with a question. You know
• 2:38
  Speaker 3: a lot about which was worse the mess you found
• 2:42
  Speaker 3: at Twitter or the mess you found in the federal government.
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  Speaker 2: Well, it's hard to compete with the federal government.
• 2:48
  Speaker 3: What's surprised you about the federal government? I assume you
• 2:51
  Speaker 3: came in and assumed it was bad. Is it worse
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  Speaker 3: than you expected?
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  Speaker 4: It is worse than I expected. But on the plus side,
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  Speaker 4: that means.
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  Speaker 2: This more oportunity for improvement.
• 3:01
  Speaker 4: So look, if you look on the right side, there's
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  Speaker 4: there's actually a lot of opportunity for improvement in federal
• 3:07
  Speaker 4: goverment expenditures because it's so bad. If it was a
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  Speaker 4: well run ship, it would be very difficult to improve.
• 3:14
  Speaker 4: So like, but so now it's like if people say, well,
• 3:16
  Speaker 4: how how do you figure out how to save money
• 3:19
  Speaker 4: in the federal government? Well, it's like being in a
• 3:20
  Speaker 4: room where the walls, the roof, and the floor are
• 3:22
  Speaker 4: old targets any direction and you're kindness, Wow, yeah, I'm
• 3:29
  Speaker 4: sure you would agree.
• 3:31
  Speaker 3: So a lot of folks have talked about like.
• 3:33
  Speaker 4: Like you count right, this is going to any direction.
• 3:39
  Speaker 3: A lot of the crazy expenditures, things like like two
• 3:42
  Speaker 3: million bucks for sex change surgeries in Guatemala, an essential
• 3:47
  Speaker 3: you know, transgendered mice and and sesame street in Iraq.
• 3:51
  Speaker 3: A lot of that has gotten a tension. But some
• 3:53
  Speaker 3: of the stuff you've told me about, but like tell
• 3:56
  Speaker 3: us about computer licenses and government agencies.
• 3:59
  Speaker 4: Yeah, so most of what dog just finding. You don't
• 4:01
  Speaker 4: need to use shlock homes. It's very obvious basic stuff.
• 4:05
  Speaker 4: So in every government department, I say every because we've
• 4:09
  Speaker 4: not yet found a single exception. There are far too
• 4:12
  Speaker 4: many software licenses and media subscriptions, meaning many more software
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  Speaker 4: licenses and media subscriptions than there are humans in the department.
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  Speaker 3: Like you were saying, like an agency with fifteen thousand
• 4:24
  Speaker 3: people might have thirty thousand licenses. Yes, and even of
• 4:29
  Speaker 3: the fifteen thousand employees, a good chunk of them hadn't
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  Speaker 3: used the license, had never logged on or used the application.
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  Speaker 4: Yes, we found entire situations of software licenses or media
• 4:41
  Speaker 4: subscriptions where there were zero logins.
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  Speaker 3: So it had and yet we were paying for it.
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  Speaker 4: Yes, the government's paying for thousands of licenses of software
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  Speaker 4: or media subscriptions and no one had ever logged in
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  Speaker 4: even once.
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  Speaker 3: Or credit cards. You found the same thing with government
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  Speaker 3: credit cards.
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  Speaker 4: We found that there are twice as many credit cards
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  Speaker 4: there are humans. And I still don't have a good
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  Speaker 4: explanation for why this is the case. And these are
• 5:05
  Speaker 4: ten thousand dollars limit cards. So it's a lot of money.
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  Speaker 1: Is it incompetent that you're finding or is this like
• 5:12
  Speaker 1: the biggest money laundering scheme in the history of the
• 5:15
  Speaker 1: world that you're finding.
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  Speaker 4: Okay, I think it's mostly if you say, look, what's
• 5:20
  Speaker 4: the waste to fraud ratio? Yeah, in my opinion, it's
• 5:24
  Speaker 4: it's like eighty percent wasst twenty percent fraud. But you
• 5:27
  Speaker 4: do have these sort of gray areas. For example, example
• 5:32
  Speaker 4: be so we saw a lot of payments going out
• 5:36
  Speaker 4: of treasury that had no payment code and no explanation
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  Speaker 4: for the payment, and then we're we're trying to figure
• 5:44
  Speaker 4: out what that payment is and we'd see that Okay,
• 5:46
  Speaker 4: that contract was supposed to be shut off, but someone
• 5:50
  Speaker 4: forgot to shut off that that contract and so the
• 5:52
  Speaker 4: company kept getting money. Wow, Now is that waste or
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  Speaker 4: fraud both both?
• 6:00
  Speaker 1: Yeah, you're not supposed to get you're not supposed to
• 6:05
  Speaker 1: get it, but you but the government sent it to
• 6:07
  Speaker 1: you and nobody from the government asked for it back.
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  Speaker 4: Take, for example, the one the one point nine billion
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  Speaker 4: dollars given to Stacy Abrams.
• 6:14
  Speaker 3: Yeah, fakengo, utter insanity. Explain the story that's that's that's
• 6:21
  Speaker 3: just corrupt. I think that's paying off cronies at that point.
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  Speaker 4: Yeah.
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  Speaker 2: Yeah.
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  Speaker 3: And by the way, she knew, like when you get
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  Speaker 3: two billion dollars, you don't miss that. That's not on accident.
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  Speaker 4: That's allegedly it was for like uh, you know, environmentally
• 6:35
  Speaker 4: friendly appliances or something. And they've given like like one
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  Speaker 4: hundred appliances so far for two billion dollars.
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  Speaker 3: It's very expensive toast. That's some zo fridge. It's nice.
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  Speaker 4: It is obviously one of the biggest scam portholes we've uncovered,
• 6:51
  Speaker 4: which is really crazy, is uh is that is that
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  Speaker 4: the government can give money to a so called nonprofit
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  Speaker 4: with with very few controls and then that and there's
• 7:03
  Speaker 4: there's no auditing subsequently of that nonprofit, so there's no
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  Speaker 4: So this is where with the you know what point
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  Speaker 4: nine billion of Stacey Arams, who's who's that they didn't
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  Speaker 4: give themselves extremely lavished like insane salaries, expense everything yep,
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  Speaker 4: to the to the nonprofit you know, buy jets and
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  Speaker 4: homes and all sorts of.
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  Speaker 3: Things, live like kings and queens.
• 7:24
  Speaker 2: Yes on the taxpayer, dont correct. You mentioned this is
• 7:27
  Speaker 2: happening at scale. It's not just one or two. We're
• 7:29
  Speaker 2: seeing this everywhere.
• 7:31
  Speaker 3: Now, one of the things you told me about is
• 7:33
  Speaker 3: it's great is what you call say magic money computers. Well,
• 7:38
  Speaker 3: so tell us about it, because I've never heard of
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  Speaker 3: that until you brought that up.
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  Speaker 4: Okay, So you may think that these the government computers
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  Speaker 4: like all talk to each other, they synchronize, they add
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  Speaker 4: up what funds are going somewhere, and it's you know,
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  Speaker 4: it's coherent that that that the you know, there's and
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  Speaker 4: that and that. The numbers, for example, that you're presented
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  Speaker 4: as a senator, Yeah, are actually the.
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  Speaker 3: Real numbers in one would think, well, I would think
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  Speaker 3: they're not.
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  Speaker 2: Yeah, okay, I mean.
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  Speaker 4: They're not totally wrong, but they're probably off by five
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  Speaker 4: percent or ten percent in some cases. So I call
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  Speaker 4: it magic money computer. Any computer which can just make
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  Speaker 4: money out of thin air best magic money.
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  Speaker 3: So how does that work?
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  Speaker 2: It just issues payments, and you.
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  Speaker 3: Said something like eleven of these computers of treasury that
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  Speaker 3: are that are sending out trillions in payments.
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  Speaker 4: They're mostly a Treasury, some are with the sum at HHS,
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  Speaker 4: some at there's one as one of two as States,
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  Speaker 4: there's summit at DoD. I think we found now fourteen
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  Speaker 4: magic money computers.
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  Speaker 3: Gene.
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  Speaker 2: Okay, they just send money out of nothing.
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  Speaker 3: You have an ability to see where leverage points are
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  Speaker 3: and how things actually happen. So I remember back I
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  Speaker 3: think it was September October of this year, before the election.
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  Speaker 3: We didn't know who was going to win, and I
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  Speaker 3: was at your house in Austin. We were talking about
• 9:01
  Speaker 3: it and you said, you said, look, I don't want
• 9:04
  Speaker 3: a job in Washington, and you said, all I want
• 9:06
  Speaker 3: is the log in for every computer. And I remember
• 9:09
  Speaker 3: thinking at the time that sounded kind of weird, like
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  Speaker 3: I just didn't get it. And I have to say,
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  Speaker 3: what's interesting on this? If I would have thought like, okay,
• 9:19
  Speaker 3: how do you reform government? Like sort of the traditional
• 9:22
  Speaker 3: way to think about it is, okay, give me an
• 9:23
  Speaker 3: orc chart, let me sit down with the people who
• 9:25
  Speaker 3: are running agencies. And what you saw immediately is to
• 9:29
  Speaker 3: understand what's really going on, get to the payment systems,
• 9:33
  Speaker 3: get to the computers. Yeah, Like, why is getting to
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  Speaker 3: the computers so critical to understanding what's actually happening?
• 9:44
  Speaker 4: Well, the government is run by computers, So you've got
• 9:48
  Speaker 4: essentially several hundred computers that effectively run the government.
• 9:52
  Speaker 2: And if you want to know, did you know that
• 9:54
  Speaker 2: then no?
• 9:55
  Speaker 4: Like, yeah, so when somebody, like even when the president
• 9:58
  Speaker 4: issues an executive order, that's going to go through a
• 10:00
  Speaker 4: whole bunch of people until ultimately it is implemented at
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  Speaker 4: a computer somewhere. And if you want to know what
• 10:06
  Speaker 4: the situation is with the accounting and you're trying to
• 10:08
  Speaker 4: reconcile accounting and get rid of waste and fraud, you
• 10:10
  Speaker 4: must be able to analyze the computer databases. Otherwise you
• 10:13
  Speaker 4: can't figure it out because all you're doing is asking
• 10:16
  Speaker 4: a human who will then ask another human, ask another human,
• 10:20
  Speaker 4: and finally usually ask some contractor will ask another contractor
• 10:24
  Speaker 4: to do a query on the computer. Wow, that's how
• 10:27
  Speaker 4: it actually works. So it's many layers d. So the
• 10:31
  Speaker 4: only way to reconcile the databases and get rid of
• 10:33
  Speaker 4: waste and fraud is to to actually look at the
• 10:36
  Speaker 4: computers and see what's going on. So that's what I
• 10:39
  Speaker 4: call you. That's like, that's why when I sort of
• 10:44
  Speaker 4: cryptically referred to reprogramming the matrix. You have to understand
• 10:47
  Speaker 4: what's going on the computers. You have to reconcile the
• 10:49
  Speaker 4: computer databases in order to identify the waste and fraud.
• 10:53
  Speaker 3: I don't know that there was anyone in Congress who understood,
• 10:59
  Speaker 3: certainly myself and do understood the leverage that comes from
• 11:03
  Speaker 3: the computer and the data in particular, that that Congress
• 11:07
  Speaker 3: would think about give me a report on what your
• 11:09
  Speaker 3: expenditures are rather than actually getting into the pipes. And
• 11:13
  Speaker 3: I think that has been fascinating that it's let you
• 11:16
  Speaker 3: uncover a bunch of craft that just nobody knew.
• 11:20
  Speaker 4: Yes, I mean, in order for money to go to
• 11:22
  Speaker 4: evan Acount, it's it's not like we're sending truckloads of
• 11:25
  Speaker 4: cash all over the place where it's a we're wiring money, right,
• 11:29
  Speaker 4: We're sending money through the ACH system or through the
• 11:31
  Speaker 4: Swift system. So in order for money to flow, it's
• 11:34
  Speaker 4: going to flow electronically. So that's that's what you need
• 11:36
  Speaker 4: to look at. You can look at the actual electronic
• 11:39
  Speaker 4: money flows.
• 11:40
  Speaker 3: And Tesla and all your companies, you have accounting and
• 11:42
  Speaker 3: you have every expenditure, you have it coded for what
• 11:44
  Speaker 3: it's going for. Federal government doesn't work that way. They
• 11:47
  Speaker 3: don't code what the money's going for.
• 11:48
  Speaker 2: They do know, but they didn't. They didn't.
• 11:51
  Speaker 3: And like one of the things that that you told me,
• 11:54
  Speaker 3: you said, if any company kept its books the way
• 11:56
  Speaker 3: the federal government does, they'd arrest the officers and put
• 11:59
  Speaker 3: them in jail.
• 12:00
  Speaker 4: Yes, if it was a poly company would be dealisted immediately,
• 12:03
  Speaker 4: it would fail, it's ordered and the officers of the
• 12:05
  Speaker 4: company would be imprisoned. That's the level of enal seasiness
• 12:09
  Speaker 4: in the middle.
• 12:10
  Speaker 1: Unfortunately, it's deliberately or do you think this is in
• 12:14
  Speaker 1: competence again.
• 12:15
  Speaker 4: It's eighty percent. It's eighty percent in competence or in
• 12:20
  Speaker 4: twenty percent malice.
• 12:21
  Speaker 1: So if you look at it, if you look at
• 12:23
  Speaker 1: DOGE now and you look at the government and what
• 12:26
  Speaker 1: you're finding, what percentage have you guys even gotten to
• 12:31
  Speaker 1: and how much of it is mars where you haven't
• 12:34
  Speaker 1: even gotten there yet because there's so much you're finding
• 12:36
  Speaker 1: out here. I mean, how many you seem like a
• 12:38
  Speaker 1: timeline guy when you say, all I want to get
• 12:40
  Speaker 1: in there and to get all these you know, numbers
• 12:42
  Speaker 1: and things. How far are we from the D game
• 12:44
  Speaker 1: where you've seen it all been able to process it
• 12:47
  Speaker 1: all and fix it. I mean are we years away?
• 12:50
  Speaker 1: Months away?
• 12:52
  Speaker 2: Not yours?
• 12:54
  Speaker 4: I mean recentaly confident that we'll be able to get
• 12:57
  Speaker 4: a trillion dollars of waste and APT and that that
• 13:03
  Speaker 4: meaning that it will have we'll have a net savings
• 13:06
  Speaker 4: in f I twenty six, which starts.
• 13:07
  Speaker 2: In October, obviously of a trillion dollars.
• 13:11
  Speaker 4: But Provider, we're allowed to we're allowed to continue, and
• 13:13
  Speaker 4: we're and our progress is not impeded. And we're very
• 13:16
  Speaker 4: public about what we do. Yeah, put it off on
• 13:19
  Speaker 4: the website about how we could be more transparent. Literally,
• 13:22
  Speaker 4: everything action we do, small or large, we put on
• 13:24
  Speaker 4: the dose dot dot com website and we post on
• 13:28
  Speaker 4: the X handle. And when people complain about it I
• 13:32
  Speaker 4: and they say, oh, you're doing something on costumes, I'm like, well,
• 13:34
  Speaker 4: which of these costs in the daylight.
• 13:36
  Speaker 3: Everyone knows exactly what you're doing.
• 13:38
  Speaker 2: Extreme transparent.
• 13:39
  Speaker 4: Yeah, I don't think it's anything's been this transparent ever.
• 13:43
  Speaker 3: So five years ago you were a hero to the left. Cool,
• 13:48
  Speaker 3: you had electric cars, you had space, and in five
• 13:52
  Speaker 3: years you've.
• 13:53
  Speaker 4: Got to go to a party in Hollywood and not
• 13:55
  Speaker 4: get dirty looks.
• 13:56
  Speaker 2: Yeah. In fact, yeah, and now you might not even
• 13:58
  Speaker 2: get invited. I think is invited, but I don't know
• 14:01
  Speaker 2: if I should go.
• 14:03
  Speaker 3: And I don't think it's an exaggeration to say, today,
• 14:07
  Speaker 3: after Donald Trump, the left hates you more than a
• 14:10
  Speaker 3: person on earth.
• 14:12
  Speaker 4: Yes, I appear to be number two. I mean, if
• 14:14
  Speaker 4: you're judged by the various signs.
• 14:17
  Speaker 3: They estrangements, it's Trump de arrangement syndrome and Elon derangement syndrome.
• 14:21
  Speaker 3: How is that for you? That's a little bit of
• 14:23
  Speaker 3: whiplash of going from being like mister cool to the
• 14:27
  Speaker 3: devil incarnate in just a couple of years. Is that
• 14:30
  Speaker 3: is that kind of weird to experience that transformation?
• 14:33
  Speaker 2: Yes?
• 14:34
  Speaker 3: Why do they hate you so much?
• 14:36
  Speaker 4: Well, because we're we're clearly over the target if those
• 14:41
  Speaker 4: was ineffective, if we were not actually getting rid of
• 14:44
  Speaker 4: a bunch of waste and forward and a bunch of
• 14:46
  Speaker 4: that Ford. I mean, the Ford reason we're seeing is
• 14:50
  Speaker 4: overwhelmingly on the on the left. I mean, it's not
• 14:54
  Speaker 4: zero on the right, but these NGOs are almost all
• 14:58
  Speaker 4: left wing NGOs that are being funded for Apple. So
• 15:03
  Speaker 4: they hate me because Dog is being effective and Doge
• 15:07
  Speaker 4: is getting rid of a lot of waste for that
• 15:10
  Speaker 4: they were that people and left were taking advantage of that.
• 15:13
  Speaker 4: That's that's that's what it comes out to you. And
• 15:15
  Speaker 4: and the single biggest thing that they're that they're worried
• 15:18
  Speaker 4: about is that Dog is going is going to turn
• 15:23
  Speaker 4: off fraudulent payments of entitlements. I mean everything from Social Security, medicare,
• 15:28
  Speaker 4: uh you know, unemployment, disability, smallpers administ regustration loans, turn
• 15:35
  Speaker 4: them off to illegals. This is that clus to the matter.
• 15:40
  Speaker 4: Ye okay, this is this is the this is the
• 15:42
  Speaker 4: thing that why they really hit my guts, want me
• 15:44
  Speaker 4: to die.
• 15:46
  Speaker 3: And do you think that's billions hundreds of billions? What
• 15:49
  Speaker 3: do you think the scale is of that?
• 15:50
  Speaker 4: I think across the country, it's it's in the it's
• 15:53
  Speaker 4: well noth of one hundred billion, maybe two hundred billion,
• 15:56
  Speaker 4: so uh bye. By using entitlements fraud, the Democrats have
• 16:02
  Speaker 4: been able to attract and retain vast numbers of illegal
• 16:07
  Speaker 4: immigrants and buy voters, and buy voters exactly the It
• 16:13
  Speaker 4: basically bring in ten twenty million people who are beholden
• 16:19
  Speaker 4: to the Democrats for government handouts and will vote overwhelming
• 16:23
  Speaker 4: the Democrat as has been demonstrated in California. This is
• 16:27
  Speaker 4: it's an election strategy. Yes, it's powered, yes, and it
• 16:31
  Speaker 4: doesn't take much to turn the swing states blue. I
• 16:34
  Speaker 4: mean off in a swing state yet be won by
• 16:36
  Speaker 4: ten twenty thousand votes. Sure so if the DAMS can
• 16:38
  Speaker 4: bring in two hundred thousand illegals and over time get
• 16:42
  Speaker 4: them legalized, not counting any cheating that takes place, because
• 16:45
  Speaker 4: there is some cheating, but even without cheating, if you bake,
• 16:50
  Speaker 4: if you if you bring in illegals that are ten
• 16:52
  Speaker 4: x the voted differential in a swing state, it will
• 16:55
  Speaker 4: no longer be a swing state, right, and the DAMS
• 16:58
  Speaker 4: will win all the swing states just amount of time,
• 17:01
  Speaker 4: and America will be permanent deep blue socialist state. At
• 17:07
  Speaker 4: the House, the Senate, YEP, the Presidency, and the Supreme.
• 17:11
  Speaker 2: Court will all go hardcore down.
• 17:13
  Speaker 4: They will then further cement that by bringing even more
• 17:17
  Speaker 4: aliens so you can't vote your way out of it.
• 17:20
  Speaker 4: Their objemin is to make one party socialist state, and
• 17:24
  Speaker 4: it will be much worse than California. Because at least
• 17:25
  Speaker 4: California is mitigated by the fact that someone can leave California.
• 17:28
  Speaker 3: You can go to Texas.
• 17:29
  Speaker 4: Yeah, exactly, So you're going to make everywhere California but worse.
• 17:33
  Speaker 3: By the way, the middle of the pandemic, I spent
• 17:36
  Speaker 3: forty five minutes on the phone with Elon. He was
• 17:38
  Speaker 3: still in California. I was walking my dog's snowflake and
• 17:42
  Speaker 3: trying to convince you come to Texas. The commis in
• 17:45
  Speaker 3: California can't stand you. We love you, we want you here.
• 17:48
  Speaker 3: And you didn't quite go then, but you went not
• 17:50
  Speaker 3: that long afterwards.
• 17:51
  Speaker 4: I mean, the COVID actions almost killed Tesla because they
• 17:57
  Speaker 4: let every other auto plant in the country was allowed
• 17:59
  Speaker 4: to open, but ours, which was.
• 18:01
  Speaker 2: In California, was not a lot of open.
• 18:03
  Speaker 3: Wow wow.
• 18:05
  Speaker 2: So they almost killed Tesla.
• 18:07
  Speaker 3: So as a personal matter, do you ever regret it?
• 18:11
  Speaker 3: Like five years ago you go to the Oscars and
• 18:13
  Speaker 3: were mister cool, and now you're you've got death threats
• 18:16
  Speaker 3: every day, Like do you well?
• 18:17
  Speaker 2: These days the oscars are boring. I wouldn't want to go.
• 18:21
  Speaker 3: God bless the movies they nominate no one on earth
• 18:23
  Speaker 3: has ever seen, Like could they actually nominate a movie
• 18:26
  Speaker 3: that human beings go watch.
• 18:28
  Speaker 4: I mean, how many great movies have come out in
• 18:30
  Speaker 4: the last several years. Very few, depressingly few, Yeah, very few.
• 18:34
  Speaker 4: Last Oscars came and went I didn't watch it.
• 18:36
  Speaker 2: There's nothing to see.
• 18:38
  Speaker 3: I was sad that Gene Hackman just passed away because
• 18:41
  Speaker 3: Unforgiven was spectacular. But that was a long time ago
• 18:43
  Speaker 3: when Forgiven came out.
• 18:45
  Speaker 1: You've mentioned today here and before about the possibility of
• 18:50
  Speaker 1: someone wanting to take you out, dealing with the death threats.
• 18:54
  Speaker 2: We see, it's not in my imagination. You can just
• 18:56
  Speaker 2: look on social media. Yeah, but like is it because
• 19:00
  Speaker 2: very clear? Yeah.
• 19:01
  Speaker 3: And look, I'm I'm very familiar with.
• 19:02
  Speaker 4: And they've got science, the people with science and demonstrations
• 19:06
  Speaker 4: saying that I need to die.
• 19:08
  Speaker 3: Do you think are these just whack jobs or do
• 19:11
  Speaker 3: you think.
• 19:12
  Speaker 2: There are hopefully foreign sane people.
• 19:15
  Speaker 3: Do you think there are foreign entities behind this? Do
• 19:17
  Speaker 3: you think they're domestic entities behind the threats? And also
• 19:20
  Speaker 3: the attacks to Twitter are not Twitter but Tesla. I mean,
• 19:24
  Speaker 3: you know you're getting Tesla's charging stations lit on fire.
• 19:28
  Speaker 3: Do you think that's organized and paid for?
• 19:31
  Speaker 4: Yes, at least some of it is organized and paid
• 19:33
  Speaker 4: for I think by domestic you know, basically left wing
• 19:41
  Speaker 4: organizations in America funded by left wing billionaires. Essentially, is
• 19:48
  Speaker 4: it like Act Blue or what Act Blue.
• 19:50
  Speaker 2: Is one of them?
• 19:52
  Speaker 4: You know Arabella, you know the classic it's funded by
• 19:56
  Speaker 4: the you know, the the blue basically the left wing
• 20:02
  Speaker 4: ANDNGO cabal.
• 20:05
  Speaker 1: How big of a threads is to like what you
• 20:07
  Speaker 1: build at Tesla? I mean, I remember when Tesla's came out,
• 20:09
  Speaker 1: it was people that they didn't want to have gas cars.
• 20:12
  Speaker 1: A lot of it was environmental reasons. I jokingly said,
• 20:15
  Speaker 1: I was like, I'm a Texas guy, I'm always going
• 20:17
  Speaker 1: to have something that burns gas. My kids now, all
• 20:20
  Speaker 1: three of my boys think that that Tesla's are awesome.
• 20:25
  Speaker 1: The cyber truck is the car they want their dad
• 20:27
  Speaker 1: to buy, which I laugh because I never could have
• 20:29
  Speaker 1: imagined that five years ago. And now I'm looking at
• 20:33
  Speaker 1: We're worth.
• 20:33
  Speaker 3: The White House in the President's tesla'sparking. Yeah, I mean,
• 20:36
  Speaker 3: which is the fullest stand. But I mean, you've changed
• 20:38
  Speaker 3: a generation.
• 20:39
  Speaker 1: When you look at my kids are six and eight
• 20:41
  Speaker 1: and they're going, Dad buy a cyber truck, and I'm
• 20:44
  Speaker 1: considering it. That's a that's a full circle in a
• 20:47
  Speaker 1: weird way.
• 20:48
  Speaker 4: Yeah, Well, I do have the story that the most
• 20:50
  Speaker 4: errantating outcome is the most likely. So yeah, it seems
• 20:56
  Speaker 4: often to be true. What what twist or two of fate? Well,
• 21:02
  Speaker 4: I would the highest ratings if this was if we're
• 21:04
  Speaker 4: a TV show, what crystal turn of fate would generate
• 21:07
  Speaker 4: the highest ratings? That there's a good chance that happens.
• 21:09
  Speaker 3: Well, I will say if if Act Blue and Arabella.
• 21:13
  Speaker 2: Network Blue is a huge scam, next level, do.
• 21:16
  Speaker 3: You think it's foreign money, Chinese money? Where do you
• 21:18
  Speaker 3: think the money in Act Blue is coming from? And
• 21:20
  Speaker 3: how do you figure that out?
• 21:22
  Speaker 4: Well, it's not coming from the from a whole bunch
• 21:24
  Speaker 4: of from a ground swell of public support, because when
• 21:29
  Speaker 4: individual donors looked at and Act Blue, they avntually turned
• 21:32
  Speaker 4: out to be like diehard Republicans. Right, people have never
• 21:35
  Speaker 4: given money in their life. So you're going to track
• 21:37
  Speaker 4: down a bunch of these where it says, oh, I
• 21:39
  Speaker 4: gave sixteen thousand dollars and they're like, I didn't give
• 21:41
  Speaker 4: sixteen thousand dollars.
• 21:42
  Speaker 2: We're talking about.
• 21:44
  Speaker 4: Well, if those Fokan friends of mine, if I found
• 21:46
  Speaker 4: themselves on the Act Blue list, they like.
• 21:49
  Speaker 3: So that's if it can actually be shown that they
• 21:53
  Speaker 3: are funding firebombing of Tesla charging stations, that's objectively a
• 21:58
  Speaker 3: criminal act. That that is fun terrorist activity. And the
• 22:01
  Speaker 3: statutes make clear that an incendiary device qualify, so that
• 22:06
  Speaker 3: down is a terrorist activity. Yeah, let me ask AI.
• 22:11
  Speaker 3: In ten years, how is life going to be different
• 22:14
  Speaker 3: because of AI for just a normal person.
• 22:17
  Speaker 2: Well, ten years is a long time.
• 22:20
  Speaker 4: In ten years, probably AI could do anything better than
• 22:24
  Speaker 4: a human can cognitively.
• 22:26
  Speaker 2: Probably almost.
• 22:27
  Speaker 4: I think in ten years, based on the cart rate
• 22:29
  Speaker 4: of improvement, AI will be smatter than the smasht human.
• 22:33
  Speaker 2: Yeah.
• 22:34
  Speaker 4: Yeah, there will also be a massive number of robots,
• 22:39
  Speaker 4: so humanoid robots.
• 22:40
  Speaker 3: By the way, I got to ask, how come your
• 22:42
  Speaker 3: robots look so much like the creepy robots for my robot?
• 22:45
  Speaker 3: Was that intentional or just.
• 22:49
  Speaker 1: I was hoping he's gonna say, yeah, just to mess
• 22:50
  Speaker 1: with you.
• 22:52
  Speaker 4: It's not meant to look like any any prior robot.
• 22:56
  Speaker 4: And we'll iterate the design and you'll be able to
• 23:00
  Speaker 4: have a lot of the robot parts are cosmetic. You'll
• 23:03
  Speaker 4: be able to switch out the kind of snap on
• 23:07
  Speaker 4: cosmetic parts of the robot make it look like something
• 23:09
  Speaker 4: else if you're lying. So there'll be ultimately billions of
• 23:16
  Speaker 4: humanoid robots.
• 23:17
  Speaker 2: All costs will be self driving in ten years.
• 23:21
  Speaker 4: In ten years, probably ninety percent of miles driven will
• 23:25
  Speaker 4: be autonomous.
• 23:26
  Speaker 3: Huh wow that fast.
• 23:29
  Speaker 2: Yeah.
• 23:30
  Speaker 4: In five years, probably fifty percent of all miles will
• 23:34
  Speaker 4: driven will be autonomous.
• 23:35
  Speaker 3: Now, if AI will be smarter than any person, how
• 23:38
  Speaker 3: many jobs go away because of that? And what do
• 23:42
  Speaker 3: people do if you've got billions of people they're losing
• 23:45
  Speaker 3: their jobs like that a lot of people are understandably
• 23:48
  Speaker 3: freaked out about that.
• 23:49
  Speaker 2: Well, good goods and services will become close to free,
• 23:56
  Speaker 2: so as long as though people will be wanting in
• 23:59
  Speaker 2: terms of goods services.
• 24:02
  Speaker 3: So why is that?
• 24:03
  Speaker 2: What?
• 24:04
  Speaker 3: Why are goods and services free in an AI world
• 24:07
  Speaker 3: or close to free?
• 24:09
  Speaker 4: Well, you have I don't know, pull it tens of
• 24:12
  Speaker 4: billions of robots that they will they will make you
• 24:16
  Speaker 4: anything or provide any service you want, or basically next
• 24:21
  Speaker 4: to nothing. It's it's not that people will be will
• 24:27
  Speaker 4: have a lower standard of living. They will have actually
• 24:29
  Speaker 4: much higher standard of living. The challenge will be fulfillment.
• 24:35
  Speaker 4: How do you drive fulfillment and meeting in life?
• 24:39
  Speaker 3: Is skynet real, like you get the apocalyptic visions of AI.
• 24:46
  Speaker 3: How real is the prospect of killer robots annihilating humanity?
• 24:52
  Speaker 2: Likely? Maybe ten percent on what timeframe perhaptally ten years
• 24:58
  Speaker 2: so soon?
• 24:59
  Speaker 3: Like you, you see a world where that's possible.
• 25:03
  Speaker 4: Yeah, But I mean you can look at it like
• 25:05
  Speaker 4: the glasses eighty ninety percent full, meaning like eighty percent
• 25:09
  Speaker 4: likely will have extreme prosperity for all.
• 25:15
  Speaker 3: Now, I guess my view we're in a race to
• 25:17
  Speaker 3: win AI. We're in a race with China, and my
• 25:21
  Speaker 3: view is if they're going to be killer robots, I'd
• 25:23
  Speaker 3: rather they be American killer robots than Chinese. How likely
• 25:28
  Speaker 3: are we winning right now? Is America winning right now?
• 25:31
  Speaker 3: And how likely is America to win the race for
• 25:33
  Speaker 3: AI visav China or anyone else?
• 25:36
  Speaker 4: Well the next few years. I think America is likely
• 25:38
  Speaker 4: to win. Then it will be a function of who
• 25:41
  Speaker 4: controls the AI chip fabrication, the factories that make the
• 25:46
  Speaker 4: AI chiefs, who controls them if they are controlled, If
• 25:50
  Speaker 4: more of them will controlled by China than China will win.
• 25:53
  Speaker 3: More of the factories that are making the AI chips.
• 25:56
  Speaker 3: You think that will determine it?
• 25:57
  Speaker 2: Yes?
• 25:58
  Speaker 3: And how are we doing just China on that front.
• 26:02
  Speaker 2: Well, right now, almost all the advanced AI chip factories
• 26:07
  Speaker 2: they call them fabs, are in Taiwan.
• 26:12
  Speaker 3: And what if China invades one miles away from Yeah,
• 26:15
  Speaker 3: what happens if China? Yea, if China invades Taiwan, what happens.
• 26:19
  Speaker 2: To the world.
• 26:20
  Speaker 4: Well, if they were to invade in the NATOM, the
• 26:24
  Speaker 4: world would be cut off from advanced AI chips. And
• 26:28
  Speaker 4: currently one percent of advanced the AI chips all made
• 26:31
  Speaker 4: in Taiwan.
• 26:32
  Speaker 1: How fast can we put that online in America? How
• 26:34
  Speaker 1: important is that for national security?
• 26:36
  Speaker 2: I think it's essential for national security, and we're not
• 26:40
  Speaker 2: doing enough.
• 26:41
  Speaker 3: You're fifty three years old. I'm one hundred and eighteen
• 26:44
  Speaker 3: days older than you. By what the hell have I
• 26:46
  Speaker 3: done in my life? I know?
• 26:47
  Speaker 2: Right?
• 26:48
  Speaker 3: Fifty three years old?
• 26:49
  Speaker 2: Pretty well? Well, so seventy one was a great.
• 26:54
  Speaker 3: Year, and I was December seventy because I was just
• 26:57
  Speaker 3: just right before you were the summer of seventy one.
• 27:01
  Speaker 2: I was born sixty nine days after four twenty.
• 27:04
  Speaker 3: Wow, I did ask Ben, this is true. Look, I
• 27:11
  Speaker 3: did ask Ben. Should I show up and pull up
• 27:12
  Speaker 3: a joint and say, can we beat Rogan's views? But
• 27:15
  Speaker 3: but I was pretty sure it might cause a scandal
• 27:18
  Speaker 3: if if we spent a podcast.
• 27:21
  Speaker 2: It just turned out to be like a Chocolates of garden.
• 27:23
  Speaker 3: Yeah, let me ask you if if today was your
• 27:27
  Speaker 3: last day on Earth?
• 27:29
  Speaker 2: Yeah, what what?
• 27:30
  Speaker 3: I'm not suggesting it's going to be. But if it were,
• 27:32
  Speaker 3: what do you think your biggest legacy would be if everything
• 27:34
  Speaker 3: you've done one hundred years from now? What do you
• 27:37
  Speaker 3: think people would remember if if if if it were
• 27:40
  Speaker 3: zero to today.
• 27:41
  Speaker 1: And were you ever going to space.
• 27:44
  Speaker 4: In the in the distant future one hundred or one
• 27:47
  Speaker 4: thousand years ago, if SpaceX got humans to Mars, that's
• 27:51
  Speaker 4: what they would remember me for.
• 27:54
  Speaker 3: All Right, final set of questions. Who's the smartest guy
• 27:57
  Speaker 3: you've ever met? You hang out with brilliant people, like
• 28:01
  Speaker 3: like when you look at what's a CEO? You look
• 28:03
  Speaker 3: at other than yourself, what CEO? Do you say? Damn,
• 28:07
  Speaker 3: that guy's good.
• 28:10
  Speaker 4: Larry Elson's very smart. So I say, Larry Elson's one
• 28:16
  Speaker 4: of the smartest people. You know, Larry Page. I mean,
• 28:21
  Speaker 4: there are a lot of people.
• 28:21
  Speaker 2: That are very smart.
• 28:22
  Speaker 4: It's hard to say, like, you know, I think something
• 28:25
  Speaker 4: to be smart is as smart as so you know,
• 28:29
  Speaker 4: what have they done that is difficult and significant. You know,
• 28:37
  Speaker 4: Jeff Bezos has done a lot of difficult and significant things.
• 28:43
  Speaker 4: I mean, there are a lot of smart humans. I
• 28:46
  Speaker 4: call them smart for smart for a human, A lot
• 28:48
  Speaker 4: of people who are in the smart for a human category.
• 28:51
  Speaker 3: All right, final lightning round, Star Wars or Star Trek.
• 28:55
  Speaker 4: The first movie I said one to theater was Star Wars,
• 28:58
  Speaker 4: so I think it had a profound effect on me.
• 29:00
  Speaker 2: I'm six years old.
• 29:01
  Speaker 4: I think, imagin best first movie you ever see in
• 29:06
  Speaker 4: a theater a Star Wars.
• 29:07
  Speaker 2: It's going to blow your mind.
• 29:08
  Speaker 3: Best Star Wars.
• 29:09
  Speaker 2: Movie Empires Trucks Back.
• 29:13
  Speaker 3: The only objectively right answer. I stood and learned in
• 29:16
  Speaker 3: three hours with my dad to see it on opening day.
• 29:19
  Speaker 2: Kirk or Picard, I like them both.
• 29:22
  Speaker 3: For Kirk again, objectively right answer. By the way, James T.
• 29:27
  Speaker 3: Kirk is a Republican and Picard is a Democrat, and
• 29:30
  Speaker 3: the left gets very mad when I say that best
• 29:33
  Speaker 3: Star Trek movie.
• 29:35
  Speaker 2: I mean the original, the first Star Trek movie.
• 29:38
  Speaker 4: That's okay, most of both of both.
• 29:45
  Speaker 2: Wrath of cons were pretty good, but yeah, the original
• 29:47
  Speaker 2: Wrath of kN.
• 29:48
  Speaker 3: Ricardo Montaban Revenge is a dish best served cold. It
• 29:54
  Speaker 3: is very cold in space, although I will say Wrathakon
• 29:59
  Speaker 3: is objectively the right a answer. But but four as
• 30:01
  Speaker 3: a sleeper when they go back to San Francisco and
• 30:04
  Speaker 3: and and go find the whales and and you know,
• 30:06
  Speaker 3: Scotty picks up picks up the mouth and talks to
• 30:09
  Speaker 3: it and goes a keyboard. How quaint that's a sleeper?
• 30:13
  Speaker 3: All right? Last question? Did Han shoot first?
• 30:18
  Speaker 2: It seemed like he shot second. This is verdict.
• 30:21
  Speaker 3: And by the way, I apologize Ben so Ben was
• 30:24
  Speaker 3: a jock and played tennis at ole miss and so
• 30:26
  Speaker 3: so occasionally when when we geek out a little watching y'all.
• 30:29
  Speaker 4: Geek out over there is still on the question you
• 30:33
  Speaker 4: miss the alien missters flash shot? So why do you
• 30:36
  Speaker 4: miss his flaster shot? Must have been because he got
• 30:38
  Speaker 4: shot first. He's missing a point blank bastle shot. If
• 30:41
  Speaker 4: the less they got knocked off kids.
• 30:43
  Speaker 3: But it's a question of real which is is Han
• 30:47
  Speaker 3: solo simply a hero or an anti hero? And and
• 30:50
  Speaker 3: so I'm in the Han shot first category. I think
• 30:53
  Speaker 3: I don't like sanitized stories.
• 30:54
  Speaker 4: You would have shot first because they why why would
• 30:57
  Speaker 4: the alien miss a point blank range?
• 30:59
  Speaker 2: Are you?
• 31:00
  Speaker 1: Are you ever going to go to outer space?
• 31:01
  Speaker 3: Is that thing in your life goals?
• 31:03
  Speaker 4: Yeah, I'd like to go to Mars at some point.
• 31:04
  Speaker 4: And people have said do I want to die maz
• 31:09
  Speaker 4: and I say yes, just not an impact.
• 31:11
  Speaker 3: Now, that's a very good answer. The astronauts on the
• 31:14
  Speaker 3: space station, are they political prisoners? Some of them are
• 31:20
  Speaker 3: because because you could have given them a ride back,
• 31:22
  Speaker 3: and Joe Biden said no, purely for politics.
• 31:27
  Speaker 4: Yeah, I mean, you know, there's been some debate about
• 31:30
  Speaker 4: this online. But the thing is that it was very
• 31:32
  Speaker 4: a very high level of decision, so it wasn't really
• 31:35
  Speaker 4: even an acid decision. It was just that the Biden
• 31:39
  Speaker 4: White House did not want to have someone who is
• 31:42
  Speaker 4: pro Trump rescuing Askroot's rife before the election, so they
• 31:48
  Speaker 4: pushed it.
• 31:48
  Speaker 3: Well, if you're one of those astronauts, you gotta be
• 31:50
  Speaker 3: pretty pissed off about that.
• 31:52
  Speaker 4: Well, if they're a Democrat, yes, a Democrat, like, everything's fine,
• 31:58
  Speaker 4: fair enough. So I think one of them is a
• 32:00
  Speaker 4: republicable incident. So it depends on which one you're asked.
• 32:03
  Speaker 3: Well, thank you elon this. This was awesome. And let
• 32:06
  Speaker 3: me say and by the way, I put out on
• 32:09
  Speaker 3: X the day before yesterday, if you were having a
• 32:12
  Speaker 3: beer with Elon and could ask him anything, what would
• 32:14
  Speaker 3: you ask? And got lots of responses. The most common
• 32:17
  Speaker 3: response people said is is say thank you. Look, Texans
• 32:21
  Speaker 3: and the American people appreciate what you're doing. You don't
• 32:24
  Speaker 3: have to put up with this bs, and you're doing it.
• 32:26
  Speaker 3: I'm grateful. You're making a hell of a difference for
• 32:29
  Speaker 3: this country. I appreciate you, and the Americans appreciate you.
• 32:32
  Speaker 4: Yeah, it's essential for the future of civilization. Otherwise I
• 32:34
  Speaker 4: wouldn't be doing it. Yes, it's so like I want
• 32:36
  Speaker 4: to get death threats.
• 32:37
  Speaker 2: You know. No.
• 32:38
  Speaker 1: All right now, Part two of this interview with Ion
• 32:41
  Speaker 1: Mosk and some bigger breaking news that we're going to
• 32:44
  Speaker 1: have for you about corruption the government will hit on
• 32:48
  Speaker 1: Wednesday morning, So make sure you get that subscribe.
• 32:50
  Speaker 3: Or auto Dowllo button right.
• 32:52
  Speaker 1: Now, and again, please help this show go viral so
• 32:55
  Speaker 1: that we can continue to expose government waste wherever you're
• 32:59
  Speaker 1: on social media. Hit that little forward button and post
• 33:02
  Speaker 1: this episode on social media and the Center and I
• 33:05
  Speaker 1: will see you back here with Elon Moss Part two
• 33:08
  Speaker 1: Wednesday morning,