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Speaker 1: We saw a lot of payments going out of Treasury

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Speaker 1: that had no payment code and no explanation for the payment. Okay,

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Speaker 1: that contract was supposed to be shut off, but someone

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Speaker 1: forgot to shuttle that contract and so the company kept

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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

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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

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Speaker 3: on the forty seven Morning Update. If you want to

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Speaker 3: hear the entire interview, you need to go and subscribe

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Speaker 3: for free. Obviously and download Verdict with Teg Cruise. I

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Speaker 3: co host that podcast with Center Cruse, and you can

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Speaker 3: hear part one in its entirety. But here is the

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Speaker 3: beginning of that conversation for you right here, and again,

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Speaker 3: do not forget if you want to hear the entire

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Speaker 3: two part series. It is with Verdict with Teg Cruse

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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

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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,

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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

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Speaker 1: California is mitigated by the fact that someone can.

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Speaker 2: Leave California, you can go to Texas.

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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

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Speaker 3: think that that Tesla's are awesome. The cyber truck is

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Speaker 3: the car they want their dad to buy, which I

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Speaker 3: laugh because I never could have imagined that five years ago,

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Speaker 3: and now I'm looking at We're.

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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

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Speaker 3: mean you've changed a generation when you look at my

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Speaker 3: kids are six and eight and they're going dad buy

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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

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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.

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Speaker 5: Turn of fate?

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Speaker 1: Well, I would the highest ratings if this was if

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Speaker 1: we're a TV show, what twistal turn of fate would

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Speaker 1: generate the highest ratings that there's a good chance that happens.

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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

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Speaker 4: the money in Act Blue is coming from? How do

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Speaker 4: you figure that out?

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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

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Speaker 1: individual donors looked at and Act Blue, they a bunch

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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

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Speaker 1: going to track down a bunch of these people where

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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

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Speaker 1: themselves on the Act Blue list, they like So.

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Speaker 4: That's if it can actually be shown that they are

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Speaker 4: funding firebombing of Tesla charging stations, that's objectively a criminal act.

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Speaker 4: That that is funding terrorist activity. And the statutes make

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Speaker 4: clear that an incendiary device qualifies.

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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

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Speaker 1: curt rate of improvement, AI will be smarter than the

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Speaker 1: smartest human.

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Speaker 2: Yeah.

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Speaker 1: Yeah, there will also be a massive number of robots,

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Speaker 1: so humanoid robots.

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Speaker 4: By the way, I got to ask, how come your

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Speaker 4: robots look so much like the creepy robots for my robot?

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Speaker 2: Was that intentional or just?

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Speaker 4: Uh?

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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.

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Speaker 5: Robot parts are cosmetic.

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Speaker 1: You'll be able to switch out the kind of snap

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Speaker 1: on cosmetic parts of the robot make it look like

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Speaker 1: something else if you're lying. So there'll be ultimately billions

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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.

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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

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Speaker 4: many jobs go away because of that? And what do

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Speaker 4: people do if you've got billions of people that are

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Speaker 4: losing their jobs like that? A lot of people are

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Speaker 4: understandably freaked out about that.

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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

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Speaker 1: terms of goods and services.

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Speaker 2: So why is that?

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Speaker 5: What?

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Speaker 4: Why are goods and services free in an AI world

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Speaker 4: or close to free?

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Speaker 1: Well, you have I don't know, call it tens of

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Speaker 1: billions of robots that they will they will make you

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Speaker 1: anything or provide any service you want for basically next

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Speaker 1: to nothing. It's it's not that people will be will

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Speaker 1: have a lower stand of living. They will have actually

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Speaker 1: much higher standard of living. But the challenge will be fulfillment.

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Speaker 1: How do you drive fulfillment and meeting in life?

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Speaker 3: Now, if you'd like to hear the rest of the conversation,

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Speaker 3: make sure you download Verdict with Ted Cruz right now

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Speaker 3: wherever you're listening to this podcast, and you can hear

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Speaker 3: part one in its entirety. And I'll see you back

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Speaker 3: here tomorrow.