Latest / The 47 Morning Update with Ben Ferguson / 47 Morning Update Exclusive: 1-on-1 w Elon from the White House Part 1

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47 Morning Update Exclusive: 1-on-1 w Elon from the White House Part 1 · The 47 Morning Update with Ben Ferguson

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  Speaker 1: We saw a lot of payments going out of Treasury
• 0:03
  Speaker 1: that had no payment code and no explanation for the payment. Okay,
• 0:07
  Speaker 1: that contract was supposed to be shut off, but someone
• 0:09
  Speaker 1: forgot to shuttle that contract and so the company kept
• 0:12
  Speaker 1: getting money. Now is that waste of word?
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  Speaker 2: Both?
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  Speaker 3: Yeah, you are listening to a forty seven Morning Update
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  Speaker 3: exclusive with Ben Ferguson good Monday morning. It is the
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  Speaker 3: forty seven Morning Update. Ben Ferguson with you, and this
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  Speaker 3: is going to be a special episode of the forty
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  Speaker 3: seven Morning Update. As on Friday, Senator Cruz and I
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  Speaker 3: were invited to come to the White House to sit
• 0:35
  Speaker 3: down in a lengthy conversation with Elon Musk. Now, Elon
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  Speaker 3: Musk going to expose government fraud, waste, and abuse, and
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  Speaker 3: that's exactly what he's been doing. But he shared some
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  Speaker 3: new information with us that is truly incredible about what
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  Speaker 3: he has found recently within DOGE and government departments that
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  Speaker 3: are abusing your tax dollars. Now, I am going to
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  Speaker 3: play for you a part of that interview right now
• 1:03
  Speaker 3: on the forty seven Morning Update. If you want to
• 1:06
  Speaker 3: hear the entire interview, you need to go and subscribe
• 1:09
  Speaker 3: for free. Obviously and download Verdict with Teg Cruise. I
• 1:14
  Speaker 3: co host that podcast with Center Cruse, and you can
• 1:16
  Speaker 3: hear part one in its entirety. But here is the
• 1:19
  Speaker 3: beginning of that conversation for you right here, and again,
• 1:24
  Speaker 3: do not forget if you want to hear the entire
• 1:27
  Speaker 3: two part series. It is with Verdict with Teg Cruse
• 1:30
  Speaker 3: wherever you get your podcasts. So here is our conversation
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  Speaker 3: with Elon Musk.
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  Speaker 4: What's surprised about the federal government? I assume you came
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  Speaker 4: in and assumed it was bad. Is it worse than
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  Speaker 4: you expected?
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  Speaker 1: It is worse than I expected, But on the plus side,
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  Speaker 1: that means there's.
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  Speaker 5: More opportunity for improvement.
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  Speaker 1: So look, if you look on the right side, there's
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  Speaker 1: actually a lot of opportunity for improvement in federal goverman
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  Speaker 1: expenditures because it's so bad.
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  Speaker 5: If I it was a well run ship, it would
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  Speaker 5: be very caul to improve.
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  Speaker 4: A lot of the crazy expenditures, things like like two
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  Speaker 4: million bucks for sex change surgeries in Guatemala, an essential
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  Speaker 4: you know, transgendered mice and sesame street in Iraq. A
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  Speaker 4: lot of that has gotten attention. But some of the
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  Speaker 4: stuff you've told me about like tell us about computer
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  Speaker 4: licenses and government agencies.
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  Speaker 1: Yeah, so most of what dog just finding, you don't
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  Speaker 1: need to be shock comes. Okay, it's very obvious basic stuff.
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  Speaker 1: So in every goblet depopment, I say every because we've
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  Speaker 1: not yet found a single exception. There are far too
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  Speaker 1: many software licenses and media subscriptions, meaning many more software
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  Speaker 1: licenses and media subscriptions than there are humans in the department.
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  Speaker 4: Like you were saying, like an agency with fifteen thousand
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  Speaker 4: people might have thirty thousand licenses. Yes, and even of
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  Speaker 4: the fifteen thousand employees, a good chunk of them hadn't
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  Speaker 4: used the license, had never logged on or used the application.
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  Speaker 5: Yes.
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  Speaker 3: Is it incompetence you're finding or is this like the
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  Speaker 3: biggest money wandering scheme in the history of the world
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  Speaker 3: that you're finding?
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  Speaker 1: Okay, I think it's mostly If you say, look, what's
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  Speaker 1: the waste to fraud ratio, Yeah, in my opinion, it's
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  Speaker 1: it's like eighty percent wist twenty percent fraud. But but
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  Speaker 1: you do have these sort of gray areas. For example, example,
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  Speaker 1: be so uh, we saw a lot of payments going
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  Speaker 1: out of treasury that had no payment code and no
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  Speaker 1: explanation for the payment, and then we're we're we're we're
• 3:33
  Speaker 1: trying to figure out what that payment is and we'd
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  Speaker 1: see that, Okay, that contract was supposed to be shut off,
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  Speaker 1: but but someone forgot to shut off that that contract
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  Speaker 1: and so the company kept getting money.
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  Speaker 5: Wow. Now is that waste or fraud?
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  Speaker 1: Both both?
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  Speaker 3: Yeah, you're not supposed to get you're not supposed to
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  Speaker 3: get it, but you but the government sent it to you,
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  Speaker 3: and nobody from the government asked for it back.
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  Speaker 1: Oh, take for example, the one the one point nine
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  Speaker 1: billion dollars given to Stacy Abrams.
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  Speaker 2: Yeah, fake NGO, utter insanity.
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  Speaker 3: Explain that story.
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  Speaker 4: That's that's that's just corrupt. I think that's paying off
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  Speaker 4: cronies at that point.
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  Speaker 5: Yeah. Yeah.
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  Speaker 4: And by the way, she knew, like when you get
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  Speaker 4: two billion dollars, you don't miss that.
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  Speaker 2: That's not on accident.
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  Speaker 1: That's allegedly it was for like, uh, you know, environmentally
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  Speaker 1: friendly appliances or something. And they've given like like a
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  Speaker 1: hundred appliances so far for two billion dollars.
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  Speaker 5: It's very expensive.
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  Speaker 2: Toast roll that's fridge. It's nice.
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  Speaker 1: Is this is obviously one of the biggest scam portholes.
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  Speaker 1: We've uncovered which is really crazy, is uh is that
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  Speaker 1: is that the government can give money to a so
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  Speaker 1: called nonprofit with with very few controls and then that
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  Speaker 1: and there's there's no auditing subsequently of that nonprofit, so
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  Speaker 1: there's no So this is where with the you know,
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  Speaker 1: one point nine billion of Stacy Abrams, who's who's that
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  Speaker 1: they didn't give themselves extremely lavished like insane salaries, expense
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  Speaker 1: everything yep, to the to the nonprofit, you know, buy
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  Speaker 1: jets and homes and all sorts of things.
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  Speaker 2: Live like kings and queens. Yes on the taxpayer done.
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  Speaker 5: Correct.
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  Speaker 1: This is happening at scale. It's not just one or two.
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  Speaker 1: We're seeing this everywhere.
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  Speaker 2: Now. One of the things you told me about is
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  Speaker 2: it's great to do is what you call say.
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  Speaker 4: Magic money computers. Well, so tell us about it, because
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  Speaker 4: I've never heard of that until you brought that up.
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  Speaker 1: Okay, So you may think that these the government computers
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  Speaker 1: like all talk to each other, they synchronize, they add
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  Speaker 1: up what funds are going somewhere, and it's you know,
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  Speaker 1: it's coherent that that that the you know, there's that
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  Speaker 1: and that the numbers for example that you're presented as
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  Speaker 1: a senator.
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  Speaker 5: Yeah, are actually the real.
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  Speaker 2: Numbers, and one would think one would think they're not.
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  Speaker 5: Yeah, okay, I.
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  Speaker 1: Mean they're not totally wrong, but they're probably off by
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  Speaker 1: five percent or ten percent in some cases. So I
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  Speaker 1: call a magic money computer any computer which can just
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  Speaker 1: make money out of thin air.
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  Speaker 5: Best magic money.
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  Speaker 2: So how does that work?
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  Speaker 5: It just issues payments?
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  Speaker 4: And you said something like eleven of these computers a
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  Speaker 4: treasury that are that are sending out trillions in payments.
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  Speaker 1: They're mostly a treasury, Some are with the sum at HHS,
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  Speaker 1: some at there's one wanted to as states, there's some
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  Speaker 1: at DD. I think we found now fourteen magic money computers. Gene, Okay,
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  Speaker 1: they just send money out of nothing.
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  Speaker 2: Why do they hate you so much?
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  Speaker 1: Well, because we're we're clearly over the target if those
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  Speaker 1: was ineffective, if we were not actually getting rid of
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  Speaker 1: a bunch of wastes and forward and a bunch of
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  Speaker 1: that fraud. I mean, the forward reason we're seeing is
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  Speaker 1: overwhelmingly on the on the left. I mean, there's it's
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  Speaker 1: not zero on the right, but these NGOs are almost
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  Speaker 1: all left wing NGOs that are being funded for example, yep.
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  Speaker 1: So they hate me because Dog is being effective and
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  Speaker 1: Dog is getting rid of a lot of waste. Before that,
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  Speaker 1: they were the people and left were taking advantage of that.
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  Speaker 1: That's that's that's where it comes out to you. And
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  Speaker 1: and the single biggest thing that they're that they're worried
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  Speaker 1: about is that Dog is going to turn off fraudulent
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  Speaker 1: payments of entitlements. I mean everything from Social Security, medicare, uh,
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  Speaker 1: you know, unemployment, disability, smallpers administ registration loans, turn them
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  Speaker 1: off to illegals. This is not CrOx of the matter.
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  Speaker 1: Ye okay, this is this is the This is the
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  Speaker 1: thing that why they really hit my guts, want me
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  Speaker 1: to die.
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  Speaker 4: And do you think that's billions? Hundreds of billions? What
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  Speaker 4: do you think the scale is of that?
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  Speaker 1: I think across the country it's it's in the it's
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  Speaker 1: well north of one hundred billion, maybe two hundred million.
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  Speaker 5: So uh.
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  Speaker 1: By by using entitlements fraud, the Democrats have been able
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  Speaker 1: to attract and retain vast numbers of illegal immigrants and
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  Speaker 1: buy voters, and buy voters exactly the It basically bring
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  Speaker 1: in ten twenty million people who are beholden to the
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  Speaker 1: Democrats for government handouts and will vote overwhelming the Democrat
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  Speaker 1: as has been demonstrated in California. This is it's an
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  Speaker 1: election strategy. Yes, it's powered, yes, and it doesn't take
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  Speaker 1: much to turn the swing states blue, I mean off
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  Speaker 1: in a swing state yon't be won by ten twenty
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  Speaker 1: thousand votes. Sure, so if the DAMS can bring in
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  Speaker 1: two hundred thousand illegals and over time get them legalized,
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  Speaker 1: not counting any cheating that takes place, because there is
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  Speaker 1: some cheating, but even without cheating, if you bake, if
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  Speaker 1: you if you bring in illegals that are ten x
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  Speaker 1: the voted differential in a swing state, it will no
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  Speaker 1: longer be a swing state, right, and the DAMS will
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  Speaker 1: win all the swing states just a matter of time,
• 9:01
  Speaker 1: and America will be permanent deep blue socialist state. At
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  Speaker 1: the House, the Senate, YEP, the Presidency, and the Supreme
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  Speaker 1: Court will all go hardcore down. They will then further
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  Speaker 1: cement that by bringing even more aliens so you can't
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  Speaker 1: vote your.
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  Speaker 5: Way out of it.
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  Speaker 1: Their obemin is to make one party socialist state, and
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  Speaker 1: it will be much worse than California, because at least
• 9:25
  Speaker 1: California is mitigated by the fact that someone can.
• 9:27
  Speaker 2: Leave California, you can go to Texas.
• 9:29
  Speaker 1: Yeah, exactly, So you're going to make everywhere California.
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  Speaker 3: But worse, my kids now, all three of my boys
• 9:37
  Speaker 3: think that that Tesla's are awesome. The cyber truck is
• 9:40
  Speaker 3: the car they want their dad to buy, which I
• 9:43
  Speaker 3: laugh because I never could have imagined that five years ago,
• 9:46
  Speaker 3: and now I'm looking at We're.
• 9:48
  Speaker 2: Worth the White House in the President's Tesla's part.
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  Speaker 3: Yeah, I mean, which is the fullest dand but I
• 9:52
  Speaker 3: mean you've changed a generation when you look at my
• 9:55
  Speaker 3: kids are six and eight and they're going dad buy
• 9:57
  Speaker 3: a cyber truck and I'm considering it. That's a that's
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  Speaker 3: a full circle in a weird way.
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  Speaker 5: Yeah.
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  Speaker 1: Well, I do have the story that the most errantating
• 10:05
  Speaker 1: outcome is the most likely, So yeah, it seems often
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  Speaker 1: to be true. If you're like, what what twist or.
• 10:15
  Speaker 5: Turn of fate?
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  Speaker 1: Well, I would the highest ratings if this was if
• 10:19
  Speaker 1: we're a TV show, what twistal turn of fate would
• 10:22
  Speaker 1: generate the highest ratings that there's a good chance that happens.
• 10:24
  Speaker 4: Well, I will say if if act Blue and Arabella
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  Speaker 4: Network Blue.
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  Speaker 5: Is a huge scam. Next level, do you.
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  Speaker 4: Think it's foreign money, Chinese money. Where do you think
• 10:34
  Speaker 4: the money in Act Blue is coming from? How do
• 10:35
  Speaker 4: you figure that out?
• 10:37
  Speaker 1: Well, it's not coming from the from a whole bunch
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  Speaker 1: of from a ground swell of public support, because when
• 10:44
  Speaker 1: individual donors looked at and Act Blue, they a bunch
• 10:47
  Speaker 1: of them turn out to be like diehard Republicans, right,
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  Speaker 1: people have never given money in their life. So you're
• 10:51
  Speaker 1: going to track down a bunch of these people where
• 10:53
  Speaker 1: it says, oh, I gave sixteen thousand dollars and they're like,
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  Speaker 1: I didn't give sixteen thousand dollars.
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  Speaker 5: We're talking about this.
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  Speaker 1: Well, if those spoken friends of mine, if I found
• 11:02
  Speaker 1: themselves on the Act Blue list, they like So.
• 11:05
  Speaker 4: That's if it can actually be shown that they are
• 11:08
  Speaker 4: funding firebombing of Tesla charging stations, that's objectively a criminal act.
• 11:14
  Speaker 4: That that is funding terrorist activity. And the statutes make
• 11:17
  Speaker 4: clear that an incendiary device qualifies.
• 11:20
  Speaker 1: So that sus down is a terrorist activity.
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  Speaker 2: Yeah, let me ask Ai.
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  Speaker 4: In ten years, how is life going to be different
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  Speaker 4: because of AI for just a normal person.
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  Speaker 1: Well, ten years is a long time. In ten years,
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  Speaker 1: probably AI could do anything better than a human can cognitively.
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  Speaker 1: Probably almost. I think in ten years, based on the
• 11:48
  Speaker 1: curt rate of improvement, AI will be smarter than the
• 11:51
  Speaker 1: smartest human.
• 11:53
  Speaker 2: Yeah.
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  Speaker 1: Yeah, there will also be a massive number of robots,
• 11:59
  Speaker 1: so humanoid robots.
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  Speaker 4: By the way, I got to ask, how come your
• 12:02
  Speaker 4: robots look so much like the creepy robots for my robot?
• 12:05
  Speaker 2: Was that intentional or just?
• 12:07
  Speaker 4: Uh?
• 12:09
  Speaker 3: I was hoping he's gonna say, yeah, just a mess
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  Speaker 3: with you.
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  Speaker 1: It's not meant to look like any any prior robot.
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  Speaker 1: And we'll iterate the design and you'll be able to
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  Speaker 1: have a lot of the.
• 12:21
  Speaker 5: Robot parts are cosmetic.
• 12:23
  Speaker 1: You'll be able to switch out the kind of snap
• 12:26
  Speaker 1: on cosmetic parts of the robot make it look like
• 12:29
  Speaker 1: something else if you're lying. So there'll be ultimately billions
• 12:35
  Speaker 1: of humanoid robots all cause will be self driving.
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  Speaker 2: In ten years.
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  Speaker 5: In ten years, probably.
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  Speaker 1: Ninety percent of miles driven will be autonomous.
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  Speaker 2: Huh wow that fast.
• 12:51
  Speaker 5: Yeah.
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  Speaker 1: In five years, probably fifty percent of miles driven will
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  Speaker 1: be autonomous.
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  Speaker 4: Now, if AI will be smarter than any person, how
• 13:00
  Speaker 4: many jobs go away because of that? And what do
• 13:05
  Speaker 4: people do if you've got billions of people that are
• 13:07
  Speaker 4: losing their jobs like that? A lot of people are
• 13:09
  Speaker 4: understandably freaked out about that.
• 13:12
  Speaker 1: Well, goods, goods and services will become it's close to free.
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  Speaker 1: So it's not as though people will be wanting in
• 13:22
  Speaker 1: terms of goods and services.
• 13:25
  Speaker 2: So why is that?
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  Speaker 5: What?
• 13:26
  Speaker 4: Why are goods and services free in an AI world
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  Speaker 4: or close to free?
• 13:31
  Speaker 1: Well, you have I don't know, call it tens of
• 13:34
  Speaker 1: billions of robots that they will they will make you
• 13:39
  Speaker 1: anything or provide any service you want for basically next
• 13:44
  Speaker 1: to nothing. It's it's not that people will be will
• 13:50
  Speaker 1: have a lower stand of living. They will have actually
• 13:51
  Speaker 1: much higher standard of living. But the challenge will be fulfillment.
• 13:57
  Speaker 1: How do you drive fulfillment and meeting in life?
• 14:00
  Speaker 3: Now, if you'd like to hear the rest of the conversation,
• 14:03
  Speaker 3: make sure you download Verdict with Ted Cruz right now
• 14:07
  Speaker 3: wherever you're listening to this podcast, and you can hear
• 14:10
  Speaker 3: part one in its entirety. And I'll see you back
• 14:14
  Speaker 3: here tomorrow.