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Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George

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Speaker 1: Washington Broadcast Center. Jack Armstrong and Joe Getty.

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Speaker 2: I'm strong and get taking and now he armstrong and yetty.

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Speaker 2: So this is really it is self mutilation.

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Speaker 1: America is hurting itself.

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Speaker 2: We think that it is utterly crazy, and.

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Speaker 3: We're also really really angry at you.

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Speaker 4: No, no, no, horrible, horrible, horrible.

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Speaker 5: To quote Charles Barkley, a lot of the things a

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Speaker 5: lot of people at the Super Bowl have beer and guac.

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Speaker 5: All of it comes from much of it comes from Mexico,

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Speaker 5: and the prices of these things are likely to go.

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Speaker 6: Let me tell you, we have a thug and charge

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Speaker 6: of the United States, and if we don't wake up,

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Speaker 6: we may not have a United States.

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Speaker 3: And then New York Times, empowered by President Trump, Elon

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Speaker 3: Musk is waging a largely unchecked war against government, one

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Speaker 3: that already is far reaching consequences. As mentioned earlier, I

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Speaker 3: was watching some MSNBC last night, and they.

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Speaker 2: Were really.

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Speaker 3: Horrified at the idea of any government agencies that might

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Speaker 3: be shut down or reduced in size, or god forbid,

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Speaker 3: federal employees losing their jobs.

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Speaker 2: Yet another it's not a rar shock test. It's just

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Speaker 2: a dividing line. I guess.

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Speaker 3: I guess it's the old there are two kinds of people.

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Speaker 3: You hear the government's gonna shrink, you're either thrilled or

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Speaker 3: you're horrified. I guess I can't imagine being horrified. It's

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Speaker 3: just so clearly to me, Hey, oh good, they're gonna

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Speaker 3: lay off federal employees. I just assume that's a good thing.

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Speaker 3: We'll figure out a way without them if they're needed

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Speaker 3: at all. As opposed to it's just awful. And so

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Speaker 3: a friend of the show sponsored the show sent me

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Speaker 3: a link to a Reddit thread.

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Speaker 2: He said, you ought to take a look at this.

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Speaker 2: Lots and lots of.

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Speaker 3: Fed workers and reading through it as I have been

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Speaker 3: during the commercial breaks, they clearly are people. There's one

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Speaker 3: guy said, I'm third generation federal worker. Oh oh, but

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Speaker 3: they clearly feel like they're a like they work at

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Speaker 3: General Motors. They're a needed employee and they should never

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Speaker 3: have to face the realities of the world ever again,

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Speaker 3: in any way. No matter how things change technologically, or

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Speaker 3: we decide your agency isn't doing any good or whatever

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Speaker 3: the reason, there should be nothing but good salaries, lifetime

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Speaker 3: and play employment pension at the end of the road.

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Speaker 2: It's nut. It's not like that for the rest of us.

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Speaker 7: Do you know that.

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Speaker 2: It's not like that for the rest of us. Do

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Speaker 2: you know that for the rest of us?

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Speaker 3: We all know people that out of nowhere, out of

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Speaker 3: the clear blue sky, as they say, one day, the

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Speaker 3: boss just fires everybody, and you can't get a job

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Speaker 3: in your industry and you have to learn new skill

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Speaker 3: and start all over again.

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Speaker 2: That happens all the freaking time.

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Speaker 1: Or you moved to the next state or whatever. Yeah,

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Speaker 1: I still remember. And this is a contrast, obviously with

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Speaker 1: the third generation federal employee. I remember a conversation that

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Speaker 1: was both funny and made an impression on me with

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Speaker 1: my dad many many years ago, as I was enduring

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Speaker 1: the insanity of the career I chose, and I said,

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Speaker 1: you know, Dad, sometimes there are days I wish I'd

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Speaker 1: picked a more steady career, a little more job security.

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Speaker 1: And he said, which one is That exactly essentially work.

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Speaker 1: They all have ups and downs, but there is a

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Speaker 1: whole cohort of people who never has to deal with that.

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Speaker 1: Can imagine dealing with that, and considers dealing with even

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Speaker 1: a taste of it to be utterly immoral, just unacceptable.

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Speaker 2: Man.

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Speaker 3: I was listening to a podcast the other day Charlie

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Speaker 3: Cook of the National Review is going through the history

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Speaker 3: of government employees, and I need to go back to

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Speaker 3: that podcast and see if you referenced a book or

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Speaker 3: an article or something, because I thought it was really

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Speaker 3: interesting because we didn't really have hardly any federal employees

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Speaker 3: at all until the twentieth century, and a lot of

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Speaker 3: it grew out of Prohibition and the need for a

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Speaker 3: whole bunch of people to facilitate that.

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Speaker 2: Big change in life and the law.

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Speaker 3: But the original idea with federal employees was it's not

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Speaker 3: going to pay near as well as you would make

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Speaker 3: out there in the real world, but you probably won't

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Speaker 3: get fired.

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Speaker 2: I mean, there's a lot of job security.

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Speaker 3: And then over the years it's grown into pays well

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Speaker 3: and you have tons of benefits and you get to

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Speaker 3: retire early and you can't get fired.

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Speaker 2: And that's just nuts.

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Speaker 3: And if you're like if your third generation where your

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Speaker 3: dad did it or whatever, or even doing it since

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Speaker 3: you got out of college, you just feel like this

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Speaker 3: is the way the world is. I don't know any different,

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Speaker 3: you know, you mean, why can't I count on having

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Speaker 3: this job for the rest of my life and then

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Speaker 3: retire with a good retirement, right right. It's ridiculous that

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Speaker 3: we've crafted this expectation for so many people.

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Speaker 1: Yet it's a disease, and democracies a disease have developed economies.

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Speaker 2: Europe's worse, right, and I don't know how you'd ever

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Speaker 2: unwind it. Well.

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Speaker 3: Trump and Elon are trying. Oh yeah, even if they

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Speaker 3: do an okay job, that's better than no job at all.

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Speaker 3: We got this text and I only know some about it.

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Speaker 3: Maybe we'll endeavor to learn more about it. My lib

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Speaker 3: friends are up in arms about Elon and his team

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Speaker 3: having access to the Treasury payment system. This is a

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Speaker 3: big focus on CNN and MSNBC all day yesterday. I

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Speaker 3: haven't seen or heard much about this anywhere else aside

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Speaker 3: from their hysterical rantings. Can you please discuss this and

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Speaker 3: help me understand what's going on. Elon got records that

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Speaker 3: the left is claiming anyway that he has no right

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Speaker 3: to have, and it's an example of the oligarch getting

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Speaker 3: into government, an unelected bureauc an unelected billionaire, the richest

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Speaker 3: man in the world getting private.

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Speaker 2: Information, et cetera, et cetera.

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Speaker 3: First of all, just the idea of an unelected bureaucrat

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Speaker 3: having an influence on the federal government and spending and

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Speaker 3: stuff like that.

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Speaker 2: Are you kidding? I mean, is that a joke?

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Speaker 1: Have you been paying attention? You know, as long as

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Speaker 1: we're talking about this forty two Michael Jamie Raskin always

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Speaker 1: good for outrage. He wakes up in the morning outraged

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Speaker 1: and then pokes himself with sharp sticks, just make sure

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Speaker 1: he's really on edge.

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Speaker 7: And just like the president who is elected to something

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Speaker 7: cannot impound the money of the people. We don't have

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Speaker 7: a fourth branch of government called elon musk.

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Speaker 2: And that's going to become real clear.

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Speaker 1: That's Democrats, as they have for hundreds of years, standing

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Speaker 1: up against unelected bureaucrats and agencies who run your life

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Speaker 1: for you.

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Speaker 2: What that's going to work? Though? It's good populism, it's.

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Speaker 3: A for the crowd that automatically sees a billionaire as

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Speaker 3: a bad guy.

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Speaker 2: I see the government is a bad guy.

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Speaker 1: All right, let me try one more. The gal from

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Speaker 1: Somalia ilhan Omar forty three.

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Speaker 6: We talked about Trump wanting to be a dictator on

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Speaker 6: day one, and here we are. This is what the

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Speaker 6: beginning of dictatorship looks like. When you got the constitution

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Speaker 6: and you install yourself as the sole power. That is

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Speaker 6: how dictators are made.

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Speaker 1: I don't see the new dictator is trying to reduce

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Speaker 1: the power of the government. I don't think he understands

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Speaker 1: what dictating is.

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Speaker 2: I just don't have time for that anymore.

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Speaker 1: Oh my god. And then he sees control of the government, said,

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Speaker 1: we're going to be less powerful and less interestive in

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Speaker 1: your life. A monster.

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Speaker 3: What percentage of federal workers are needed for the federal

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Speaker 3: government to continue to do what it does? I know

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Speaker 3: there's no way to actually get down to the bottom

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Speaker 3: of that. Remember when Elon took over Twitter, he walked around,

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Speaker 3: what do he say? He thought it like three out

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Speaker 3: of four people weren't needed. That's about how many he

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Speaker 3: got rid of. I don't know what it is in

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Speaker 3: the federal government. I would love to know.

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Speaker 1: Yeah, go department by department. It would vary wildly, like

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Speaker 1: some of the stuff Trump is doing with the FBI.

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Speaker 1: I think it's too far, it's too fast. It's I mean,

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Speaker 1: if some dude got assigned by his boss Hey, you

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Speaker 1: need to look into the January sixth thing. I want

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Speaker 1: you to track down these five leads. You can't fire

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Speaker 1: him for that, that's just wrong. Okay. Having said that,

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Speaker 1: you move over to the Department of Education, which really

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Speaker 1: doesn't need to exist at all, or if it does,

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Speaker 1: it ought to have a very very narrow focus. Maybe

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Speaker 1: do some nationwide testing to tract certain statistics. But honestly,

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Speaker 1: there are other department they could do it. It depends.

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Speaker 1: It varies vastly.

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Speaker 3: You know, there are federal agencies out there that if

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Speaker 3: they disappeared from the planet today, nobody would notice, nobody

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Speaker 3: but their their employees. Right, yeah, how do you get

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Speaker 3: rid of those?

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Speaker 1: What's even the most cursory job of Hey, we're not

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Speaker 1: gonna have the you know, anybody tracking these numbers? Can

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Speaker 1: you guys do that at commerce commerce and say, yeah,

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Speaker 1: that's fine, all right? That would that would be like

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Speaker 1: all of the change that needed to take place. What's

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Speaker 1: the what's the website? Okay, got it? Thanks, yet, we'll

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Speaker 1: do it.

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Speaker 3: I know somebody I wish I could tell this story.

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Speaker 3: I know somebody, and I almost admire them. They they're

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Speaker 3: on the older end and they're teaching their adult like

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Speaker 3: in their fifties children to do the same thing. They're

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Speaker 3: really good at knowing what all the government levers and

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Speaker 3: programs are out there, and there's tons of them, And

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Speaker 3: I mean, if you make that your focus, there's there

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Speaker 3: are a lot of to avoid taxes.

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Speaker 2: Or or make money or whatever. If that's what you're into.

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Speaker 3: I don't want that stuff to exist, So I've never

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Speaker 3: really wanted to participate in it.

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Speaker 2: But if you can, maybe you're maybe you're just smarter

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Speaker 2: to do that. God, I wish I could.

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Speaker 3: I wish I could give the example because it's such

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Speaker 3: a great example of taking advantage of a program that

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Speaker 3: probably shouldn't exist or was well intentioned, but can be

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Speaker 3: manipulated so easily.

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Speaker 1: Well, and you have folks who emigrated from various totalitarian

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Speaker 1: countries were the only way to get anything is to

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Speaker 1: manipulate the system, and they're incredibly skilled at it. They're

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Speaker 1: good at it. Uh, you know, and this is worth mentioning.

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Speaker 1: Al Anonymous who's a friend just texted public pensions are

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Speaker 1: destroying city, county and state budgets his little town struggling

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Speaker 1: to put in place the damn services we already pay

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Speaker 1: for due to past and current pension liabilities, hammering the budget.

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Speaker 1: It's it's happening all across Blue states, Illinois, California. Terrible

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Speaker 1: situation with it the prostitute politicians, and I apologize to

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Speaker 1: sex workers for comparing you to politicians. They promised the

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Speaker 1: public employee unions, which again should not exist in the forum,

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Speaker 1: they do enormous benefits because they knew budgetarily, they couldn't

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Speaker 1: up their pay at the present moment. The numbers just

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Speaker 1: didn't work. And so when the union lawyers were negotiating

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Speaker 1: with the former union lawyers across the table from them

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Speaker 1: for what they would get, the quote unquote government, which

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Speaker 1: is union lawyers in California, said we can't give you

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Speaker 1: much higher pay, but we can give you much much

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Speaker 1: better benefits down the road because future politicians and future

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Speaker 1: prostitutes will have to pay for it, and that'll be

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Speaker 1: their problem. Politstitutes will have to pay for it, it

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Speaker 1: won't be our problem. So that's what they did. And

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Speaker 1: now that bill has come and doe and it's wrecking

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Speaker 1: the finances of all sorts of municipal and county governments

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Speaker 1: in Blue states. It was utterly predictable. I was shouting

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Speaker 1: about it at the time, but nobody cared.

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Speaker 2: A couple of things I want to get to when

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Speaker 2: we come back.

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Speaker 3: This out about microplastics and how much we got in

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Speaker 3: our brain and where it likely comes from.

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Speaker 2: Kind of interesting.

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Speaker 3: Also, was listening to a podcast the other day, what's

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Speaker 3: the latest thinking on when AI is going to really

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Speaker 3: become a part of our lives. It's moved back some

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Speaker 3: which I was kind of happy to hear, among other

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Speaker 3: things on the way State which.

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Speaker 8: Medical breakthrough at north Well Health Feinstein Institute for Medical Research,

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Speaker 8: where lead bioengineer Chad Boughten that his team developed a

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Speaker 8: technology they call a double neural bypass. Chips are implanted

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Speaker 8: in a patient's brain and the signals for sensation and

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Speaker 8: movement sent back and interpreted through artificial intelligence, and then

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Speaker 8: redirected to the body and spine, creating a loop that

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Speaker 8: could prove life changing. Taking someone who had lost the

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Speaker 8: ability to move their limbs to sense or touch things

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Speaker 8: and actually feel the sensation of that to restore those

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Speaker 8: abilities to the patient.

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Speaker 2: Yes, that's exactly right.

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Speaker 3: We have finally discovered that the signals the brain are

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Speaker 3: still there and strong even after traumatic injury. Man, it's

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Speaker 3: amazing I wonder if that's going to happen in my lifetime.

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Speaker 3: That is really, really something. I'm sure that'll be expensive

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Speaker 3: as all hell, but things get cheaper over time. So

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Speaker 3: you got great breakthroughs like that moving forward. Then you got,

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Speaker 3: you know, all the things that set us back. First

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Speaker 3: of all, human nature that never changes. You got people

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Speaker 3: all around the world killing each other over you know,

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Speaker 3: their version of God or Land or whatever the hell.

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Speaker 3: And also all the microplastics in our brain. Study out

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Speaker 3: today that we've got about a spoons worth of micro

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Speaker 3: plastics in our brain the average person, and it's not

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Speaker 3: supposed to be there, and it's probably not good, although

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Speaker 3: they don't exactly know what it's doing. The most common microplastic,

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Speaker 3: according to this new study, is polyethylene, widely used in

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Speaker 3: packaging materials like bottles and cups. So we're getting it

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Speaker 3: through this plastic bottle I'm holding in my end right

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Speaker 3: now that I'm drinking out of, getting a little bit

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Speaker 3: of dos of plastic with it all the time. What's more,

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Speaker 3: many of these particles are smaller than previously thought. Some

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Speaker 3: of them are no bigger than viruses, and the problem

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Speaker 3: with that is they're small enough to cross the blood

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Speaker 3: brain barrier and get into our brain. Our brains are

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Speaker 3: built in such a way that a lot of bad

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Speaker 3: things in our body can't get into our brain, but

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Speaker 3: these things are small enough to actually get in their brain.

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Speaker 3: So that's with a spoonful of plastic in your brain.

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Speaker 3: The primary root of entry is through our food, particularly meat.

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Speaker 3: The researchers thing say, the way we irrigate fields with

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Speaker 3: plastic contaminated water, we postulate that the plastics build up there,

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Speaker 3: We feed those crops to our livestock, we take them,

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Speaker 3: maneuver and put it back in the field. So there's

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Speaker 3: sort of a feed forward biomagnification loop of just constantly

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Speaker 3: reinforcing the plastics until it gets.

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Speaker 2: Wedged in your brain. Wow, for better or worse.

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Speaker 3: So there's that, and it's either the biggest deal in

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Speaker 3: the world or nothing, or somewhere in between.

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Speaker 2: Another thing.

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Speaker 3: I was listening to a very long Lex Freedman podcast

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Speaker 3: the other day about AI and I take his recommendations

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Speaker 3: because he talks to all the smartest people in the

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Speaker 3: world about AI all the time, all the very very

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Speaker 3: smartest people, and so he has an idea of where

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Speaker 3: they're thinking. Is he and the guests he had on

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Speaker 3: think we're about twenty thirty is when we'll get to

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Speaker 3: AGI artificial general intelligence, and that will be the big

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Speaker 3: leap forward in AI that we're not close to yet.

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Speaker 3: That's why a lot of these fanciful projections we've all

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Speaker 3: heard haven't happened yet, because we haven't reached the AGI

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Speaker 3: part where artificial intelligence starts learning on its own and

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Speaker 3: that sort of thing. He does think, though the experts

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Speaker 3: do think that when that happens, it will be like

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Speaker 3: when nuclear weapons landed on the planet, all of a sudden,

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Speaker 3: everything is different. You have to restructure society or think

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Speaker 3: about different things, and that will happen around twenty thirty,

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Speaker 3: which is not that far off. Lex Friedman used the

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Speaker 3: example of being able to send a multitude of like

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Speaker 3: virus drones at power plants and shut down power all

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Speaker 3: across the United States overnight and.

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Speaker 1: Talking like virus given the flu or computer virus.

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Speaker 3: Computer virus, okay, that with artificial general intellgents can just

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Speaker 3: figure out what it's got to be to get in

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Speaker 3: to do the damage it's got to do, and that

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Speaker 3: could be that could easily happen in five years and

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Speaker 3: then overnight it would be Okay, the world's completely different now.

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Speaker 3: Any bad actor can shut down anything and not what

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Speaker 3: For instance, Yeah, I.

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Speaker 1: Was just reading how Chinese and was it Russian hacker

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Speaker 1: or somebody using American AI tools that already exists to

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Speaker 1: hack into our systems and screw us number one? Thanks

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Speaker 1: for buying American But secondly, yeah, that's the problem bad guys.

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Speaker 1: It's not like the difficulties of buying and delivering a

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Speaker 1: nuclear warhead, which has kept you know, a number of

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Speaker 1: evil regimes from being a threat. Hello, Ran, so far

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Speaker 1: this is anybody can access this stuff and use these weapons.

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Speaker 3: Oh another limiting factor on AI that might be good

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Speaker 3: news for if you don't like AI. I want to

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Speaker 3: make sure I mentioned that when we come back before

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Speaker 3: we move on Armstrong.

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Speaker 4: And Getty, Elon Musk becomes even more powerful as his

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Speaker 4: team gains access to the system that rights America's checks,

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Speaker 4: that pays salaries to American workers, and makes Social Security payments,

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Speaker 4: and on and on. Are there any guardrails in place,

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Speaker 4: any transparency or accountability for the first body of the

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Speaker 4: United States.

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Speaker 3: Such Jake Tapper, part of the lefts I think fear

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Speaker 3: mongering over Elon Musk's role in trying to reduce waste

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Speaker 3: maybe the size of government. As Elon's team had gained

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Speaker 3: access to sensitive Treasury Department data. Yesterday, a senior official

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Speaker 3: at Treasury attempted to deny Musk's representatives' access to the

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Speaker 3: Department's federal payment system, which is used to disperse trillions

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Speaker 3: of dollars each year that's with a T and contains

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Speaker 3: the personal information of millions of Americans. So the Left

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Speaker 3: is leaning on the personal information of millions of Americans

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Speaker 3: and how Elon shouldn't have access to that, and he

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Speaker 3: probably shouldn't, but he probably should have access to where

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Speaker 3: trillions of dollars are going. And for instance, like on

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Speaker 3: the US AID aspect of this, it's getting so much

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Speaker 3: attention money that we send around the world, and whether

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Speaker 3: or not that's being wasted. Elon said this about that yesterday.

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Speaker 9: As we dug into usaid, it became apparent that what

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Speaker 9: we have here is not an apple with a worm

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Speaker 9: in it, but we have actually just a bowl of worms.

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Speaker 3: Marco Rubio said yesterday that a lot of these people

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Speaker 3: that Elon's going to Secretary of the Treasury Department, however,

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Speaker 3: have been stone walling on anybody trying to look into

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Speaker 3: where money goes for years and getting away with you.

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Speaker 1: So, yeah, budget and turf is how big your schanz

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Speaker 1: is in Washington, d C. They fight for it and

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Speaker 1: guard it jealously.

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Speaker 3: No, I don't want Elon to be able to do

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Speaker 3: whatever he wants and do anything illegal. But I do

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Speaker 3: want him to have access to where money goes, and

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Speaker 3: on every level someone he needs to It doesn't have

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Speaker 3: to be Elon.

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Speaker 1: But at least as a study. I mean, he has

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Speaker 1: no authority to make anything happen. It's just a study

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Speaker 1: at this point. Yeah, they'll shake out if there are

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Speaker 1: any excesses or if somebody's moving too fast. I just

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Speaker 1: the forces a arraid against moving too fast and doing

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Speaker 1: too much. I think they've got plenty to work with.

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Speaker 1: I am not worried about, oh my gosh, we'll reduce

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Speaker 1: the size of the government too fast and too much.

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Speaker 2: I mean, come on, really, right right?

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Speaker 3: Also, Trump signed a couple of executive orders to try

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Speaker 3: to do away with the Department of EDUCA. Well, that'll

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Speaker 3: start that conversation going and we'll see where that ends up.

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Speaker 2: The other well, there's a couple well, and look.

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Speaker 1: Forward of course to it being portrayed twenty four hours

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Speaker 1: a day. Is Trump is trying to end education?

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Speaker 3: Yeah? Uh, Trump's going to go to the super Bowl.

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Speaker 3: First sitting president ever attend to Super Bowl. Will he

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Speaker 3: be cheered in Louisiana, New Orleans when he's announced, because

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Speaker 3: obviously they'll announce it cheered or bude?

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Speaker 1: Oh, the chiefs fans will cheer him. Well, I both.

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Speaker 3: I don't know a lot of corporate people there that

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Speaker 3: aren't fans of eating exactly.

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Speaker 1: They don't cheer for anything. They sit there on their

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Speaker 1: hands and then go to cocktail parties.

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Speaker 3: So I want to mention one more thing I learned

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Speaker 3: about Alex Friedman's podcast about AI with some of the

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Speaker 3: top AI people nore one, they don't think agis come

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Speaker 3: until twenty thirty, so we got at least five years

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Speaker 3: before we got to worry about it.

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Speaker 1: They also are vital juices or drained.

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Speaker 3: Yes, even though the technology may get here, it's a

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Speaker 3: reverse of the nuclear weapon thing in that like Toget

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Speaker 3: had a nuclear weapon. If you watched Oppenheimer, they just

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Speaker 3: kept putting the marbles in the jar of how much

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Speaker 3: refined uranium we have or plutonium or whatever it is

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Speaker 3: you used to make a bomb.

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Speaker 2: Do we have enough? Do we have enough? Had enough?

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Speaker 3: And when the jar got full, we've got enough to

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Speaker 3: make a bomb. We had the rocket, so we knew

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Speaker 3: how to make a bomb, we knew how to send

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Speaker 3: it somewhere. We couldn't make we didn't have enough uranium

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Speaker 3: to make the bomb. The problem is almost to reverse

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Speaker 3: with AI. It seems that we're going to get to

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Speaker 3: the technology the uranium, if you will, but not have

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Speaker 3: it the amount of energy it's going to take to

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Speaker 3: make these scale to a place where it could like

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Speaker 3: change the world the way everybody keeps talking about where

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Speaker 3: it's going to be as big as fire or the

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Speaker 3: Internet or something like that. Nobody's figured out how much power,

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Speaker 3: where's that power going to come from, and the number

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Speaker 3: of computer chips and all that sort of stuff.

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Speaker 2: So we got we'll have.

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Speaker 3: The uranium, but not the way to well, not the

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Speaker 3: plane to fly the bomb somewhere.

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Speaker 2: So that's pretty interesting.

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Speaker 3: We could be many years away from coming up with

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Speaker 3: enough electricity or energy source of some sort to run

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Speaker 3: these giant plants that it would need to make AI

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Speaker 3: take over the world the way everybody's talking about.

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Speaker 1: Right, Yeah, I'd love to talk to an expert or

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Speaker 1: listen to more or read more about it, just because

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Speaker 1: I know as much about this stuff as my dog

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Speaker 1: knows about the run pass option that you'll see plenty

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Speaker 1: of on Sunday during the Super Bowl.

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Speaker 2: Up.

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Speaker 3: You Now, your dog's a run all the time. He's

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Speaker 3: a throw the ball. Only three things could happen to

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Speaker 3: the bed.

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Speaker 1: Well, and he's a dog, so he's a fan of

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Speaker 1: running anyway. And so the energy requirements just the requirements

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Speaker 1: during the learning phase of these systems, I don't know

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Speaker 1: how that differs from the when they're actually just like

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Speaker 1: we've talked about how they'll eliminate the need for junior

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Speaker 1: accountants and junior lawyers and junior real estate agents and

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Speaker 1: all that, because that's all quickly generatable by machine. If

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Speaker 1: they'll need that much energy to eliminate all those if

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Speaker 1: it's just in the learning phase.

440
00:23:11,520 --> 00:23:19,280
Speaker 3: No, apparently it will take tons of computer space and energy.

441
00:23:19,320 --> 00:23:23,439
Speaker 3: We can't even fathom to make that happen, according to

442
00:23:23,480 --> 00:23:26,119
Speaker 3: these experts. So we'll have the technology before we have

443
00:23:26,800 --> 00:23:29,320
Speaker 3: you know, it's like we invented the car, but nobody

444
00:23:29,320 --> 00:23:30,320
Speaker 3: has gasoline yet.

445
00:23:31,040 --> 00:23:33,159
Speaker 2: There's not enough gasoline to actually as.

446
00:23:33,040 --> 00:23:33,760
Speaker 1: An r site.

447
00:23:33,880 --> 00:23:37,040
Speaker 3: Yeah, exactly, so that I hadn't heard anybody say that before.

448
00:23:37,400 --> 00:23:41,080
Speaker 3: And I'm in no hurry to get to artificial general

449
00:23:41,119 --> 00:23:43,560
Speaker 3: intelligence taking over the world, and we're having to figure

450
00:23:43,560 --> 00:23:46,040
Speaker 3: out the shakeout. So maybe that's going to slow it

451
00:23:46,080 --> 00:23:47,800
Speaker 3: down a lot. Just plain lack of power.

452
00:23:48,640 --> 00:23:52,920
Speaker 1: Yeah, yeah, I wonder it's going to usher nuclear power

453
00:23:52,920 --> 00:23:54,600
Speaker 1: back into favor, though, which is a hell of a

454
00:23:54,640 --> 00:23:58,720
Speaker 1: twist I didn't see coming. No kidding, it's almost a certainty.

455
00:24:00,040 --> 00:24:02,000
Speaker 1: It's the only way to get that much more power

456
00:24:02,040 --> 00:24:05,040
Speaker 1: without you know, burning even more horrific amounts of fossil fuels,

457
00:24:05,160 --> 00:24:10,400
Speaker 1: or how about windmill farms. Shut up. Your type is out,

458
00:24:10,960 --> 00:24:12,400
Speaker 1: Our type is in. Realists.

459
00:24:13,240 --> 00:24:15,200
Speaker 3: So I almost vomited before the show today, and I've

460
00:24:15,240 --> 00:24:18,800
Speaker 3: spent most of the show nearly vomiting, along with many

461
00:24:18,800 --> 00:24:23,360
Speaker 3: of our listeners for different reason. Mine's stomach things. Theirs

462
00:24:23,440 --> 00:24:28,080
Speaker 3: is a content thing. If I had the neuro virus,

463
00:24:28,119 --> 00:24:32,320
Speaker 3: I would have already. Well, No, noumal virus went through

464
00:24:32,359 --> 00:24:34,400
Speaker 3: my You said the neuro virus is sweeping the nation.

465
00:24:35,040 --> 00:24:36,880
Speaker 1: Oh yeah, it's here, there and everywhere.

466
00:24:37,400 --> 00:24:39,520
Speaker 3: Noma virus went through my house many years ago. And

467
00:24:39,600 --> 00:24:42,600
Speaker 3: everybody got sick except me. So I might have some

468
00:24:42,640 --> 00:24:47,359
Speaker 3: sort of natural doesn't bother me anything boo right now.

469
00:24:49,440 --> 00:24:53,840
Speaker 3: But when have already shown itself. Maybe I'm pregnant.

470
00:24:54,440 --> 00:24:57,520
Speaker 1: It depends that it went through my house and when

471
00:24:57,640 --> 00:25:01,840
Speaker 1: we had relatives of visiting and everything, and everybody expressed it,

472
00:25:02,000 --> 00:25:06,040
Speaker 1: if you will, in different ways and different severities, for

473
00:25:06,080 --> 00:25:11,360
Speaker 1: different lengths of time. Yes, cite the medical tim please.

474
00:25:11,359 --> 00:25:13,800
Speaker 3: To my stomach, and actually I threw up yesterday.

475
00:25:14,480 --> 00:25:17,160
Speaker 2: Everybody put their own little spin on thenau.

476
00:25:17,000 --> 00:25:19,720
Speaker 1: Of virus exactly. They made it their own.

477
00:25:23,560 --> 00:25:25,440
Speaker 2: Just trying to get through the last seventeen minutes of

478
00:25:25,480 --> 00:25:26,040
Speaker 2: the show.

479
00:25:26,440 --> 00:25:28,159
Speaker 1: I hear that you want to hear something that's going

480
00:25:28,240 --> 00:25:30,399
Speaker 1: to raise your spirits. Here's a little perspective for you,

481
00:25:30,880 --> 00:25:37,720
Speaker 1: little damn perspective. This guy is the former president of Kenya,

482
00:25:38,600 --> 00:25:44,399
Speaker 1: Uhuru Kenyata. He's talking about the USAID Department, and somebody

483
00:25:44,400 --> 00:25:47,120
Speaker 1: asked him about how horrible it is that they're talking

484
00:25:47,160 --> 00:25:49,720
Speaker 1: about cutting it back or reforming it or shuddering it

485
00:25:49,880 --> 00:25:53,160
Speaker 1: or whatever. It's Clip number forty seven. Michael dig his chili.

486
00:25:53,160 --> 00:25:56,080
Speaker 1: Would you crying? Oh, I don't know.

487
00:25:57,400 --> 00:26:01,960
Speaker 10: Trump has removed money, He said, he's not giving us

488
00:26:02,000 --> 00:26:02,840
Speaker 10: any more money.

489
00:26:04,440 --> 00:26:05,080
Speaker 2: Why are you crying?

490
00:26:05,160 --> 00:26:13,159
Speaker 10: It's not your government, is not your country.

491
00:26:13,800 --> 00:26:15,359
Speaker 1: He has he has no he has.

492
00:26:15,280 --> 00:26:21,600
Speaker 10: No reason to give you anything. I mean, you don't

493
00:26:21,640 --> 00:26:23,960
Speaker 10: pay taxes in America.

494
00:26:24,600 --> 00:26:26,280
Speaker 2: He's appealing to his people, shoure.

495
00:26:26,080 --> 00:26:31,920
Speaker 10: He This is a wake up call for you to say, Okay, what.

496
00:26:31,920 --> 00:26:35,520
Speaker 1: Are we going to do to help ourselves? Instead of crying.

497
00:26:37,040 --> 00:26:39,560
Speaker 10: To to you, Liza, what are we going to do?

498
00:26:39,640 --> 00:26:42,119
Speaker 10: I am a true are your pertification? I'm not gonnajamin?

499
00:26:42,200 --> 00:26:43,120
Speaker 2: What are we going to do?

500
00:26:43,720 --> 00:26:49,680
Speaker 10: Yeah, to support ourselves because nobody is going to continue

501
00:26:49,720 --> 00:26:53,080
Speaker 10: holding out a hand there to give you. It is

502
00:26:53,119 --> 00:26:56,720
Speaker 10: time for us to use our resources for the right things.

503
00:26:56,720 --> 00:26:58,280
Speaker 10: We are the ones who are using them for the

504
00:26:58,280 --> 00:26:58,879
Speaker 10: wrong things.

505
00:26:58,920 --> 00:27:01,960
Speaker 3: Wow, I'm voting for him if I live in Kenya.

506
00:27:02,680 --> 00:27:05,760
Speaker 1: Truth teller, I salute you, Uhuru Kenyata.

507
00:27:05,800 --> 00:27:08,280
Speaker 3: That little super fast talking thing he threw in the

508
00:27:08,320 --> 00:27:10,960
Speaker 3: middle that was like only one car available at this price,

509
00:27:12,160 --> 00:27:12,720
Speaker 3: I could have.

510
00:27:12,720 --> 00:27:15,000
Speaker 1: Literally said anything, and I'm gonna hunt down Joe Getty

511
00:27:15,000 --> 00:27:16,440
Speaker 1: and kill him in his sleep? What what?

512
00:27:16,480 --> 00:27:16,720
Speaker 2: Wait?

513
00:27:16,800 --> 00:27:16,879
Speaker 3: What?

514
00:27:18,880 --> 00:27:21,399
Speaker 1: And that went by quick? But how about that? And

515
00:27:21,520 --> 00:27:23,680
Speaker 1: he said it with a chuckle. Why would he give

516
00:27:23,720 --> 00:27:26,000
Speaker 1: you anything. He's looking out for his own people. Do

517
00:27:26,040 --> 00:27:28,680
Speaker 1: you pay taxes in the United States? No, how about

518
00:27:28,720 --> 00:27:32,680
Speaker 1: you do for yourselves? Wow, that sort of person exists

519
00:27:32,760 --> 00:27:34,959
Speaker 1: on Earth. It's heartening, isn't it.

520
00:27:37,920 --> 00:27:42,400
Speaker 3: CNN with the big Elon musk sends Washington, DC scrambling

521
00:27:42,520 --> 00:27:43,879
Speaker 3: to blah blah blah.

522
00:27:43,920 --> 00:27:44,200
Speaker 1: Good.

523
00:27:45,800 --> 00:27:49,840
Speaker 3: Mark Kawpern, in his newsletter today said, the most underreported

524
00:27:49,880 --> 00:27:53,240
Speaker 3: story of the beginning of the Trump turn is Elon

525
00:27:53,320 --> 00:27:59,600
Speaker 3: Musk roll where it's going, his impact, et cetera, might be, might.

526
00:27:59,480 --> 00:28:02,640
Speaker 1: Be, Yeah, we'll have to see it is an energy

527
00:28:04,119 --> 00:28:07,520
Speaker 1: we haven't seen before, pointed in the direction we haven't

528
00:28:07,520 --> 00:28:08,280
Speaker 1: seen before.

529
00:28:08,800 --> 00:28:10,520
Speaker 2: But I tell you what you know.

530
00:28:10,560 --> 00:28:12,720
Speaker 1: Like Jefferson said, I'd rather attend to the problems of

531
00:28:12,760 --> 00:28:15,439
Speaker 1: too much freedom than too little. I would rather attend

532
00:28:15,440 --> 00:28:18,760
Speaker 1: to the problems of too aggressively trying to root out waste, fraud,

533
00:28:18,760 --> 00:28:21,920
Speaker 1: and abuse from the federal government than too little, which

534
00:28:21,920 --> 00:28:25,120
Speaker 1: has been my entire freaking life up until now.

535
00:28:25,280 --> 00:28:27,560
Speaker 2: No kidding, how about we try the other way for

536
00:28:27,560 --> 00:28:28,080
Speaker 2: a minute?

537
00:28:28,119 --> 00:28:33,240
Speaker 3: No kidding, no kidding, We'll finish strong next.

538
00:28:34,160 --> 00:28:37,360
Speaker 11: I mean, everybody was surprised, so you can imagine how

539
00:28:37,440 --> 00:28:41,200
Speaker 11: surprised I was. I was almost aslip so when I

540
00:28:41,240 --> 00:28:43,720
Speaker 11: got a call, I had to check it was it

541
00:28:43,760 --> 00:28:46,680
Speaker 11: was April first. I didn't really believe it at first,

542
00:28:48,000 --> 00:28:51,000
Speaker 11: and it was a bit shocked. It was hard moments

543
00:28:51,040 --> 00:28:54,040
Speaker 11: for me was it was home. So it was really

544
00:28:54,080 --> 00:28:57,320
Speaker 11: hard moments for me, especially the first day. As I said,

545
00:28:57,360 --> 00:28:59,120
Speaker 11: you know, I get to play in the greatest club

546
00:28:59,320 --> 00:29:02,200
Speaker 11: in the world, and I'm excited for this new journey.

547
00:29:02,880 --> 00:29:05,800
Speaker 3: So that's Luka Dancik in the lau being asked a

548
00:29:05,920 --> 00:29:08,000
Speaker 3: question about being traded away from that. He's one of

549
00:29:08,000 --> 00:29:10,320
Speaker 3: the biggest stars in the NBA. He's only twenty five

550
00:29:10,360 --> 00:29:13,560
Speaker 3: years old. He's a fan favorite. He loved Dallas. He

551
00:29:13,680 --> 00:29:16,400
Speaker 3: was part of a giant charity there that he had founded.

552
00:29:17,240 --> 00:29:19,680
Speaker 3: He got a big, full page ad in the paper

553
00:29:19,720 --> 00:29:22,280
Speaker 3: today to thank everybody for working on He had no idea.

554
00:29:22,280 --> 00:29:25,040
Speaker 3: According to him, he had no idea. There were even

555
00:29:25,080 --> 00:29:29,320
Speaker 3: any rumblings of him being traded. I mean completely out

556
00:29:29,320 --> 00:29:31,440
Speaker 3: of the blue. That's not usually the way it happens

557
00:29:31,640 --> 00:29:33,440
Speaker 3: with the giant stars.

558
00:29:34,400 --> 00:29:35,480
Speaker 2: He was asked, was.

559
00:29:35,720 --> 00:29:38,600
Speaker 3: There any hesitation from your team to sign the big

560
00:29:38,680 --> 00:29:41,520
Speaker 3: You know, Dallas is going to keep me. Deal at

561
00:29:41,520 --> 00:29:43,800
Speaker 3: the end of his contract. No, he said, no, nothing.

562
00:29:44,120 --> 00:29:46,200
Speaker 3: I mean I just assumed I was going to be here.

563
00:29:47,160 --> 00:29:49,640
Speaker 3: He got a call at night, you're leaving. We don't

564
00:29:49,640 --> 00:29:53,040
Speaker 3: want you anymore. What he has no idea why either,

565
00:29:53,200 --> 00:29:56,400
Speaker 3: He said he has no idea why they traded him,

566
00:29:56,440 --> 00:29:58,719
Speaker 3: and that something because one of the those stars like

567
00:29:58,760 --> 00:29:59,440
Speaker 3: the sport.

568
00:30:00,040 --> 00:30:02,400
Speaker 1: It's not the way I pictured those things unfolding.

569
00:30:02,440 --> 00:30:05,520
Speaker 3: I don't think they usually do anyway. It's going to

570
00:30:05,560 --> 00:30:07,280
Speaker 3: be playing with Lebron and that'll be exciting in their

571
00:30:07,280 --> 00:30:08,760
Speaker 3: first paced team. And he was in the finals last

572
00:30:08,840 --> 00:30:10,320
Speaker 3: year and we'll see if he's in the finals this year.

573
00:30:11,000 --> 00:30:13,080
Speaker 1: I'll be rooting against him. I hope they lose. I

574
00:30:13,120 --> 00:30:16,680
Speaker 1: hope they lose all their games, because anytime you load

575
00:30:16,760 --> 00:30:19,040
Speaker 1: up a team like that with super high payroll in

576
00:30:19,080 --> 00:30:21,200
Speaker 1: a giant market, I just I root for him to lose.

577
00:30:21,880 --> 00:30:28,120
Speaker 1: I like Luca because he's white. So he's sick, folks.

578
00:30:28,160 --> 00:30:30,760
Speaker 1: He's sick. He's saying things he thinks will be funny,

579
00:30:30,880 --> 00:30:35,880
Speaker 1: but he's long. I am sick, oh, speaking of race

580
00:30:35,920 --> 00:30:38,239
Speaker 1: and saying things and all. I was trying to find it.

581
00:30:38,280 --> 00:30:41,560
Speaker 1: I just say one quote. I think it was one

582
00:30:41,560 --> 00:30:43,600
Speaker 1: of the gals of free press. Probably Nelly Bowles was

583
00:30:43,600 --> 00:30:48,400
Speaker 1: writing about how how the Vice President was on Meet

584
00:30:48,400 --> 00:30:54,480
Speaker 1: the Press over the weekend and JD was just absolutely

585
00:30:55,240 --> 00:30:59,280
Speaker 1: carving up Margaret Brennan because she was asking him about

586
00:30:59,280 --> 00:31:03,960
Speaker 1: border police and he was just parrying her with ease

587
00:31:04,000 --> 00:31:05,920
Speaker 1: because he's very bright and he knows the policy and

588
00:31:05,960 --> 00:31:08,400
Speaker 1: the rest of it. But she said this, We're in

589
00:31:08,440 --> 00:31:12,200
Speaker 1: a new news era now, reporters actually have to think

590
00:31:12,240 --> 00:31:16,600
Speaker 1: of questions. One must ask about actual border policies because

591
00:31:17,080 --> 00:31:21,920
Speaker 1: border bad America is a statue of liberty. Otherwise racism

592
00:31:22,840 --> 00:31:26,120
Speaker 1: isn't good enough anymore. I thought that was a great

593
00:31:26,200 --> 00:31:29,120
Speaker 1: characterization of a Republican had come on and they would

594
00:31:29,200 --> 00:31:32,840
Speaker 1: just be hit with border bed America is a statue

595
00:31:32,880 --> 00:31:38,040
Speaker 1: of liberty, otherwise racism, and that was it. They would

596
00:31:38,080 --> 00:31:41,800
Speaker 1: never be asked like intelligent questions about border policy.

597
00:31:42,640 --> 00:31:42,760
Speaker 2: Now.

598
00:31:42,880 --> 00:31:47,880
Speaker 1: But isn't it fire good, food bad or whatever? Eh.

599
00:31:48,200 --> 00:31:49,920
Speaker 1: JD's great at that stuff.

600
00:31:50,200 --> 00:31:51,080
Speaker 2: Yeah, he's good.

601
00:31:51,240 --> 00:31:53,080
Speaker 1: He watches those damn shows with no.

602
00:31:53,080 --> 00:31:54,400
Speaker 2: No, they don't, they absolutely don't.

603
00:31:54,920 --> 00:31:57,840
Speaker 1: They have an effect within the Beltway. Oh, speaking of which,

604
00:31:58,480 --> 00:32:00,640
Speaker 1: do we have time for this? I got a quick

605
00:32:01,040 --> 00:32:06,000
Speaker 1: comment thirty seconds? All right, I'll just give you a

606
00:32:06,120 --> 00:32:08,360
Speaker 1: very brief version A good old friend of the show,

607
00:32:08,400 --> 00:32:11,720
Speaker 1: Mike the Lawyer pointing out everybody who's acting like they're

608
00:32:11,760 --> 00:32:14,720
Speaker 1: freaking out over Elon musk Is. I'll bet those people

609
00:32:14,760 --> 00:32:18,360
Speaker 1: said nothing about Anthony Fauci. If anybody controlled the entire country,

610
00:32:18,400 --> 00:32:21,520
Speaker 1: it was unelected. It was him. It didn't seem concerned

611
00:32:21,560 --> 00:32:21,840
Speaker 1: about that.

612
00:32:22,000 --> 00:32:25,640
Speaker 3: Well, excellent example. There are many, many examples of unelected

613
00:32:25,640 --> 00:32:30,920
Speaker 3: people having unbelievable power over the many years. This is

614
00:32:30,960 --> 00:32:32,280
Speaker 3: the first time that's ever happened.

615
00:32:32,360 --> 00:32:33,000
Speaker 2: Is hilarious?

616
00:32:33,360 --> 00:32:38,040
Speaker 1: Now, all of a sudden, you're concerned. How cute? Final thought?

617
00:32:40,320 --> 00:32:40,560
Speaker 6: Yeah?

618
00:32:40,800 --> 00:32:42,920
Speaker 1: Yeah, and I want to grab me the other night,

619
00:32:43,040 --> 00:32:45,400
Speaker 1: best heavy Metal, Armstrong and getting performance.

620
00:32:47,080 --> 00:32:50,400
Speaker 2: Here's your host for final thoughts, Joe Getty.

621
00:32:50,640 --> 00:32:52,400
Speaker 1: Let's get a final thought from everybody on the crew.

622
00:32:52,440 --> 00:32:54,240
Speaker 1: There he is pressing the buttons in the control room.

623
00:32:54,280 --> 00:32:56,840
Speaker 1: Are technical director at Mike Langelow Michael Final thought? Yeah,

624
00:32:56,920 --> 00:32:59,400
Speaker 1: Katie told me she's going to a football party this weekend.

625
00:32:59,440 --> 00:33:01,560
Speaker 1: I'm going to tell she needs to check out.

626
00:33:01,440 --> 00:33:02,880
Speaker 2: My cheese dip recipes.

627
00:33:03,040 --> 00:33:05,680
Speaker 1: I'm gonna make sure that gets to the website. Katie,

628
00:33:05,720 --> 00:33:06,959
Speaker 1: you will be the hit of the party.

629
00:33:07,040 --> 00:33:07,240
Speaker 3: Man.

630
00:33:07,320 --> 00:33:10,120
Speaker 2: I gotta make a giant cheese dip for Sunday.

631
00:33:11,360 --> 00:33:14,880
Speaker 1: Delicious. Katie Green are esteemed Newswoman. As a final thought, Katie, Well,

632
00:33:14,880 --> 00:33:15,520
Speaker 1: it's kind of fun.

633
00:33:15,520 --> 00:33:17,880
Speaker 3: I have a new feature on the website at armstrong

634
00:33:17,960 --> 00:33:19,680
Speaker 3: getty dot com called Katie's Corner.

635
00:33:19,800 --> 00:33:22,040
Speaker 2: I put all the things that go through my head

636
00:33:22,160 --> 00:33:22,720
Speaker 2: on there.

637
00:33:22,640 --> 00:33:25,680
Speaker 1: As well as the video of the San Francisco broadcaster

638
00:33:25,840 --> 00:33:27,719
Speaker 1: exposing ice, so you can get all of that at

639
00:33:27,800 --> 00:33:29,240
Speaker 1: Armstrong getty dot Comic Case Corner.

640
00:33:29,360 --> 00:33:31,280
Speaker 3: We should talk more about that tomorrow. We're getting a

641
00:33:31,320 --> 00:33:33,720
Speaker 3: lot of texts about that. But it is a corner

642
00:33:33,720 --> 00:33:34,320
Speaker 3: spelled with a K.

643
00:33:34,880 --> 00:33:37,800
Speaker 2: No. No, it's yeah exactly.

644
00:33:38,120 --> 00:33:40,080
Speaker 1: I assume Jack and Joe are a holes. Is just

645
00:33:40,120 --> 00:33:42,240
Speaker 1: in like bold faced print is always up there.

646
00:33:42,280 --> 00:33:46,200
Speaker 12: But yeah, anyway, Jack a final thought for us, Yeah,

647
00:33:46,280 --> 00:33:48,600
Speaker 12: you don't think about it when you feel fine, but

648
00:33:48,680 --> 00:33:51,360
Speaker 12: when you feel bad, you think she's that feeling fine?

649
00:33:51,400 --> 00:33:54,080
Speaker 12: Sure a lot better, Sure a lot more options for

650
00:33:54,200 --> 00:33:56,760
Speaker 12: me on a given day when I feel good compared

651
00:33:56,760 --> 00:33:57,720
Speaker 12: to the way I feel today.

652
00:33:58,560 --> 00:34:02,440
Speaker 1: I think it was health Uru and Dead Bear prank

653
00:34:02,600 --> 00:34:06,040
Speaker 1: enthusiast RFK Junior, who once said the healthy man is

654
00:34:06,080 --> 00:34:09,719
Speaker 1: a thousand dreams the sick man. Only one that's pretty good.

655
00:34:10,400 --> 00:34:12,440
Speaker 1: That is good, and it's true.

656
00:34:12,719 --> 00:34:13,360
Speaker 2: I ain't dying.

657
00:34:13,480 --> 00:34:17,759
Speaker 3: I just I just feel like I'm gonna say said sick.

658
00:34:19,120 --> 00:34:21,560
Speaker 1: I want to end up like that bear. Keep barging

659
00:34:21,640 --> 00:34:26,880
Speaker 1: with RK Jr. Man't doesn't brook no nonsense.

660
00:34:27,719 --> 00:34:30,720
Speaker 3: Armstrong and Getdy wraving up another grueling four hour workday.

661
00:34:31,120 --> 00:34:33,120
Speaker 1: So many people thanks a little time. Good to Armstrong

662
00:34:33,160 --> 00:34:35,120
Speaker 1: and Giddy dot com. Man got some great hot links.

663
00:34:35,120 --> 00:34:37,080
Speaker 1: Therefore you pick up some a g swag. CA you

664
00:34:37,120 --> 00:34:38,759
Speaker 1: see something we ought to be talking about, send the

665
00:34:38,800 --> 00:34:41,000
Speaker 1: link along mail bag at Armstrong and Getdy dot com.

666
00:34:41,120 --> 00:34:43,680
Speaker 3: The bear said, I don't think vaccines cause autism, and

667
00:34:43,719 --> 00:34:44,719
Speaker 3: you see what happened to it.

668
00:34:44,920 --> 00:34:48,040
Speaker 1: Oh no, poor little bear.

669
00:34:50,520 --> 00:34:55,000
Speaker 3: We will see tomorrow. God bless America.

670
00:34:57,160 --> 00:34:59,759
Speaker 7: We don't have a fourth branch of governments.

671
00:35:00,440 --> 00:35:01,640
Speaker 2: I'm strong and getty.

672
00:35:01,680 --> 00:35:03,759
Speaker 9: It became a parent that what we have here is

673
00:35:04,000 --> 00:35:05,400
Speaker 9: actually just a bowl of ones.

674
00:35:05,440 --> 00:35:07,600
Speaker 3: I don't know about you, but as an American taxpayer,

675
00:35:07,600 --> 00:35:09,600
Speaker 3: I don't want my dollars going towards this crap.

676
00:35:09,680 --> 00:35:10,919
Speaker 2: And I did have a couple of things.

677
00:35:10,960 --> 00:35:13,160
Speaker 1: You know, just say that we're extremely controversial.

678
00:35:13,239 --> 00:35:15,759
Speaker 10: Hi, I'm attoy you appears I'm not going to jump in.

679
00:35:15,840 --> 00:35:19,640
Speaker 1: You made it right, Les riding a long by one

680
00:35:19,680 --> 00:35:20,960
Speaker 1: final message, So

681
00:35:23,640 --> 00:35:25,960
Speaker 2: Bye bye, Ar'm strong and Getty