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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, Joe Getty.

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Speaker 2: Arm Strong and Getty and he I'm Strong and Getty.

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Speaker 3: There's a brief look at the text line. Most of

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Speaker 3: the people are against the new first down marker for

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Speaker 3: the NFL that they debuted last night, where they just

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Speaker 3: used the yellow line instead of having the referees run

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Speaker 3: out there with the chains. I do think that pro

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Speaker 3: sports has got to be careful taking the human element

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Speaker 3: out of it. I understand the accuracy part makes sense,

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Speaker 3: like the strike zones in baseball and everything like that,

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Speaker 3: but there's something about humans doing it. I don't know.

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Speaker 1: I don't know if it's it's difficult to argue that

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Speaker 1: point of view than the accuracy point of view. It's

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Speaker 1: very easy to make that case. But I hate what

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Speaker 1: you get at the end though, might be a product

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Speaker 1: that's not nearly so compelling.

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Speaker 3: Well, i'd bitch. I've been bitching out replays for years

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Speaker 3: because it just slows down the game so much and

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Speaker 3: take to me, it takes the fun out of it.

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Speaker 3: But people always hardcore sports, for hard core sports fans

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Speaker 3: always make the most important thing is getting it right.

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Speaker 3: I think the most important thing is being entertained, and.

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Speaker 1: Touch basketball is we're all sufferable, we're excited.

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Speaker 3: Touchdown it said, Nope, not flag on the field. Okay.

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Speaker 3: Then we sit down in our seats and eight minutes

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Speaker 3: later they say it has been ruled a touchdown. Okay, yay.

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Speaker 1: Car said all scoring plays must be reviewed in New York.

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Speaker 1: So when I sit here padding and talking about what

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Speaker 1: a nice catch that was until we get word on

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Speaker 1: whether you should shout and wave your arms in the

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Speaker 1: air or not.

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Speaker 3: And I don't feel like it's changed that much anyway,

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Speaker 3: I do. I don't feel like it's lessened the arguments

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Speaker 3: over that's as much anyway.

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Speaker 1: You know, you're right. Yeah, so you've opted for scientific

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Speaker 1: accuracy and it's satisfied practically no one.

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Speaker 3: But it takes longer and slows down the game.

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Speaker 1: Oh, speaking of scientific accuracy, before we get into clips

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Speaker 1: of the week, which we will on a second or two,

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Speaker 1: I was reading the rest of the second Wall Street

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Speaker 1: Journal piece about the Climate change EPA report, and that

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Speaker 1: was written by a couple of limp wristed, low testosterone

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Speaker 1: male fellows reporters for the Wall Street Journal and it

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Speaker 1: was repeating all the cliches and canards of the pro

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Speaker 1: the Greta Tuneberg crowd that all sciences agreed on climate change.

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Speaker 1: It's all human caused, and unless we all buy an

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Speaker 1: electric car but not a Tesla, the polar bears will

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Speaker 1: be boiling in the oceans by the end of the week.

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Speaker 3: I love the taste of boiled polar beard falls right

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Speaker 3: up the bone, you know, it keeps it tender.

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Speaker 1: Anyway, what was that? Where was I? Oh? And it

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Speaker 1: was interesting to read how often they appear they made

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Speaker 1: the appeal to experts. They said, Experts, on the other hand,

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Speaker 1: say the scientific consensus is ironclad and blah blah blah.

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Speaker 1: And I was remembered, reminded of one of the great

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Speaker 1: pieces of shorthand that I've learned in the last I

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Speaker 1: don't know how many months. And that's somebody pointed out,

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Speaker 1: experts are almost one hundred percent quote unquote experts almost

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Speaker 1: one hundred percent academics. Yeah.

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Speaker 3: I think it was a Wall Street journal that figured

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Speaker 3: that out, And that's it changed my view of it

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Speaker 3: for the rest of my life. When I hear experts.

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Speaker 1: Academics are virtually one hundred percent yes.

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Speaker 3: When they say an expert, that means they went to

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Speaker 3: the local university and talked to an expert in that field.

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Speaker 3: And what are their politics likely? You know what that

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Speaker 3: is right?

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Speaker 1: Overwhelmingly so, so that word now experts is loaded as

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Speaker 1: I will be as soon as we get off work. Anyway,

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Speaker 1: it's the Friday tradition. It's time to take fun look

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Speaker 1: back at the week there was. It's cow clips of

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Speaker 1: the week.

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Speaker 2: There's too much going on in this country.

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Speaker 1: As people's do process rights and put up the speech rights,

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Speaker 1: and secret police are running around this country.

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Speaker 3: I should be working right now instead, I'm probably nine

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Speaker 3: at the gym.

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Speaker 1: What he really should have been talking about is I

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Speaker 1: wonder if this will help me win back faink thing,

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Speaker 1: because that's actually more believable. Recently I made the decision

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Speaker 1: that I just for now, I don't want to go

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Speaker 1: back in the system. I think it's broken. Quoted showing

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Speaker 1: people attacking a man who has shoved to the ground

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Speaker 1: and kicked several times.

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Speaker 3: I terrifying you drug trying to sweeping our streets. It's

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Speaker 3: called seven hydroxy, but someone calling it gas stationed heroin.

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Speaker 1: A woman confronts a man at a Barnes and Noble

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Speaker 1: for getting uncomfortably close, seeming to sniff her. What are

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Speaker 1: you doing?

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Speaker 3: And the vision that we've put forward, despite what others

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Speaker 3: may say, is not to defund the police. That is,

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Speaker 3: in fact, to allow those officers to respond to the

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Speaker 3: serious crimes.

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Speaker 4: I came out of that book of the Vietnam that

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Speaker 4: in aged ten years or two hundred pages.

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Speaker 1: What the oh my, oh my god.

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Speaker 3: He stole people that work for me. I said, don't

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Speaker 3: ever do that again.

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Speaker 1: He did it again, and I threw him out of

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Speaker 1: the place. I think you worked in the spot.

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Speaker 3: I think so, seeing heer.

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Speaker 1: Katy Perry was spotted on a date with Canada's former

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Speaker 1: Prime minister, Justin Trudeau. I know who knew she was

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Speaker 1: a lesbian. It's the girl for sure. James are passed

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Speaker 1: on from parents to offspring, often determining traits like her color, personality,

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Speaker 1: and even eye color. Sidney Sweeney has great geenes. The

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Speaker 1: pun good geens activates troubling historical associations. You don't get to.

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Speaker 4: Drop lines about inherited traits blue eyes and great genes

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Speaker 4: while zooming in on somebody that could have walked straight

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Speaker 4: off of a Nazi propaganda poster clips.

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Speaker 1: Saying wow.

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Speaker 3: And then a cow sound.

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Speaker 1: I am gratified and relieved that the reaction in that hole,

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Speaker 1: someone who walks straight off a Nazi recruiting poster is

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Speaker 1: mostly being greeted with hoots of derision, which it should

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Speaker 1: have been all along, who tents sort of thing?

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Speaker 3: While the Dow is down over seven hundred points. Oh now,

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Speaker 3: this is a fair headline as investors digest hiring slowdown

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Speaker 3: and new Year's tariffs.

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Speaker 1: Y have both and.

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Speaker 3: Who knows what percentage of which are The market doesn't

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Speaker 3: like uncertainty.

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Speaker 1: Joe, No, it doesn't, hates it. I hate to.

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Speaker 3: Bring this up on a Friday. This is a horrible story,

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Speaker 3: but we haven't mentioned it yet today. How about the

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Speaker 3: roughly at least fifty people killed in an ISIS linked

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Speaker 3: attack on a Christian church in Africa yesterday? That gets

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Speaker 3: some zero news coverage.

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Speaker 1: There were over a thousand of those poor folks slaughtered

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Speaker 1: in Syria for their religion and their tribe by Islamists

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Speaker 1: and that got zero attention. You're concerned about genocides and cruelty, no,

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Speaker 1: nothing selectively crick. Yeah, the Drus, I'm sorry their name

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Speaker 1: escaped me. Momentarily.

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Speaker 3: Every once in a while, I get depressed about reading

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Speaker 3: history when I come across stuff that is true but

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Speaker 3: nobody knows, and it makes me wonder, why do we

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Speaker 3: even bother? Why do we even bother pretending there's such

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Speaker 3: thing is history, because we kind of just choose, I mean,

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Speaker 3: like we're even doing currently which things were outraged about

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Speaker 3: and what things aren't. And that happens long form with history.

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Speaker 3: All kinds of things get lost to history, and it

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Speaker 3: makes me wonder, I'm not sure what the point is.

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Speaker 3: I mean, I can study things that are written, but

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Speaker 3: there are all kinds of things that I'll use an example,

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Speaker 3: I had never come across this before in my life.

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Speaker 3: We're coming up on the anniversary of dropping the bomb

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Speaker 3: on Japan, and that's going to be a reopen that

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Speaker 3: discussion again in the eighty year anniversary. The seventy five

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Speaker 3: year anniversary was in obviously five years ago, summer of

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Speaker 3: twenty twenty. We were deep in COVID, so we were

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Speaker 3: so busy with all that going on, it didn't really

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Speaker 3: get to do it should have gotten and I think

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Speaker 3: it's going to be this time around. And you know,

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Speaker 3: in the modern era, a lot of people try to

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Speaker 3: make the argument all the time that we cruel cruelly

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Speaker 3: dropped the bomb on the poor Japanese who were just

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Speaker 3: on the Verger surrendering and all that's bs and we'll

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Speaker 3: talk about that in a couple of weeks on the anniversary.

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Speaker 3: But I'd never come across this. So Russia got involved

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Speaker 3: on the eighth of August. If you know your history,

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Speaker 3: we dropped the first bomb on the sixth, the second

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Speaker 3: bomb on the ninth. Russia realized, uh, oh, war's about over.

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Speaker 3: If we want to get in on this part of

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Speaker 3: the world, we better jump in now. So they got

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Speaker 3: involved on the eighth and invaded parts of Manchuria and

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Speaker 3: various areas that had been held by the Japanese. The

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Speaker 3: Japanese were slaughtering people by the thousands a day and

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Speaker 3: other places not Japan, and that ended with the bombing also,

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Speaker 3: but that never gets mentioned. The Russians took captive so

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Speaker 3: many Japanese soldiers and just Japanese citizens. They killed multiples

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Speaker 3: more Japanese in the weeks after the bombings. Then we

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Speaker 3: killed with the bomb. I wasn't aware of that, by

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Speaker 3: starving them to death or just shooting them or whatever.

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Speaker 3: In the way that the Russians do. Wow, multiples more

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Speaker 3: than we killed with the bombs were killed by the

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Speaker 3: Russians days later.

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Speaker 1: Yeah, yeah, you can't. Don't. I don't think most people

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Speaker 1: fully appreciate, maybe even I don't the extent to which

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Speaker 1: self hatred or hatred of your own country is completely

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Speaker 1: required among progressives.

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Speaker 3: Yeah, that is a deal breaker.

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Speaker 1: If you don't express loathing of your country and the willingness,

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Speaker 1: the enthusiasm for picking out any sin, real or imagined

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Speaker 1: and ignoring anybody else's, you can't be in the club

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Speaker 1: at all. And so they that's why they're so selective.

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Speaker 1: I don't get it. I can reckon with the sins

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Speaker 1: of America and the triumphs, what a wonderful country we are,

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Speaker 1: and what mistakes we've made. It doesn't bother me. We're

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Speaker 1: human beings, human beings screw everything up. It's what we do.

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Speaker 3: And reach the end spot where we're still the best

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Speaker 3: country on earth given our power, and maybe, quite possibly

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Speaker 3: Charles C. W. Cook writes about this all the time,

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Speaker 3: most likely the best country that has ever existed, given

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Speaker 3: the power to do what we could do that we

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Speaker 3: don't do, which is.

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Speaker 1: Yeah, try to take over the world. You remember that

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Speaker 1: when we had that montage of wolf Blitzer saying good

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Speaker 1: thinger a bad thing, good thing or a bad thing,

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Speaker 1: good thing or bad thing, because that was always his

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Speaker 1: go to. And unless you're talking about wanton murder or

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Speaker 1: falling in love with your soulmate, most things are kind

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Speaker 1: of a mix.

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Speaker 3: So falling in love with your soul mate, good thing,

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Speaker 3: a bad thing. Yeah it's a pretty good thing.

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Speaker 1: Yeah it's a good I'll give you that. All the

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Speaker 1: United States of America unequivocally a good thing with some

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Speaker 1: bad stuff mixing. I said good tunger a bad tack.

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Speaker 1: I said good thinger a bad tack. You can't elaborate.

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Speaker 1: And that's the way a lot of people look at

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Speaker 1: the world. I don't get it.

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Speaker 3: Well, my final on this because just what you mentioned,

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Speaker 3: it's weird to me that there's a I know some

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Speaker 3: people like this, some people that their politics are progressive.

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Speaker 3: They seem to get some pleasure out of talking about

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Speaker 3: anything bad or wrong the United States has ever done.

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Speaker 3: And that strikes me as so odd. Why do you

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Speaker 3: get enjoyment out of that? What's that weird? Self hating?

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Speaker 3: It makes me feel so good to talk about slavery

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Speaker 3: or bombing Japanese or huh.

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Speaker 1: It's because they know that's what they're supposed to do

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Speaker 1: and they will get social approval by doing that.

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Speaker 3: Okay, So it's the social approval that makes them feel good.

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Speaker 1: Yeah, and they've become convinced that that is a show

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Speaker 1: of their own excellent morality.

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Speaker 3: Because that's weird to me. All Right, we got more

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Speaker 3: on the way. If you have a thought on that

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Speaker 3: text line four one five two nine five KFTC.

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Speaker 1: You might know him as the other JT, the Principop

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Speaker 1: former in sync superstar Justin timber Like fans have been

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Speaker 1: noticing that he has been seeming a little low energy.

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Speaker 3: Okay, that's all we need out of that. Justin Tibberlake

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Speaker 3: has a lime disease. But Jake Tapper saying you might

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Speaker 3: know him as the other JT Justin Tibberlake. And what

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Speaker 3: did you just say that with a straight face?

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Speaker 4: Is that to bring this back, to bring this back

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Speaker 4: from yesterday?

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Speaker 1: What a douche canoe? You know what I'm saying? An

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Speaker 1: odd craft really? Okay, so a couple of notes of

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Speaker 1: no great significance, but are amusing the UN Climate Change

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Speaker 1: Conference back to the Climate is coming up soon in Brazil,

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Speaker 1: and this is the same conference that they bulldozed like

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Speaker 1: twenty five thousand acres of rain forest to expand the road. Well,

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Speaker 1: they also have a real hotel room crunch and so

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Speaker 1: Brazil's Love Motels, that's in quotes, that's what they're known as,

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Speaker 1: known for dance poles and leopard print walls, are preparing

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Speaker 1: to house attendees of this year's You Tell Climate Change.

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Speaker 1: What's a love Motel? I'm glad you asked, Jack. The

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Speaker 1: erotic motels normally reserved for quote lunch hour trysts, clandestine affairs,

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Speaker 1: and passion struck lovers seeking a few hours of privacy

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Speaker 1: away from cramped family homes, are now getting ready for

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Speaker 1: hosting quote diplomats and climate scientists, civil servants and environmental activists.

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Speaker 1: They had November. According to The New York Times, their

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Speaker 1: culture they have.

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Speaker 3: I mean, we all know the crappy hourly hotels exist

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Speaker 3: in the bad part of town. Most of us have

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Speaker 3: only heard about them. We don't ever see them. But

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Speaker 3: they have, Like that's more common. It sounds like it's

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Speaker 3: more a common cultural thing to have a hotel that's

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Speaker 3: set aside for.

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Speaker 1: Again, Yeah. And one interesting aspect of this I just

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Speaker 1: read it, but it's easy to let go by, is

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Speaker 1: that they're known for seeking a few hours of privacy

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Speaker 1: away from cramped family homes. And if you've ever seen

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Speaker 1: some of the lower class neighborhoods in Brazil, they're they're very,

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Speaker 1: very tiny homes, all jammed together in a big jumble.

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Speaker 3: Plus, I understand multiculture, multicultural, multi generational living is much

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Speaker 3: more common in that culture, where you know, grandma and

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Speaker 3: grandpa and the grandkids or whoever in the same house.

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Speaker 3: So yeah, the chance to have a little alone time

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Speaker 3: might be few and far between. So having a hotel

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Speaker 3: where you could go get a room seems like a

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Speaker 3: good idea.

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Speaker 1: Yeah, And so they're going to convert a lot of

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Speaker 1: these love hotel rooms. You know, go ahead and scrub

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Speaker 1: it down twice. I'll pay extra for the climate change conference.

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Speaker 3: So you find love making disgusting and dirty, that's interesting,

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Speaker 3: tell us more about that.

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Speaker 1: Only if you do it right. Local officials face scrutiny

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Speaker 1: early this year for paving over tens of thousands of

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Speaker 1: acres have protected Amazon rainforest, or for us to build

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Speaker 1: a four lane highway aimed at easing traffic to the conference.

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Speaker 1: Last year's conference also made headlines when a beer rude

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Speaker 1: from recycled toilet water became a hit among its en des.

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Speaker 3: All right, everything's recycled toilet water. Every drop of water

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Speaker 3: you ever drink is recycled. It's whale P dinosaur P.

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Speaker 3: I do have a beef with the hotel industry. I've

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Speaker 3: come up across this several times in my life. I

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Speaker 3: don't understand why the economics don't work for being able

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Speaker 3: to use a hotel between like eleven o'clock and three

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Speaker 3: o'clock during the day. How is it better for the

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Speaker 3: hotels to have it completely empty where I can't say,

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Speaker 3: you know, I'll give you a hundred bucks if I

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Speaker 3: can be there from eleven to two because of my schedule,

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Speaker 3: as I could sleep, you're better off having it empty,

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Speaker 3: costs that much to clean it or what.

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Speaker 1: I don't know. A lot of cities have laws against that. Well,

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Speaker 1: they're not used as brosseels. Oh that's what does Well,

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Speaker 1: we got to change his own. I just said, there's

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Speaker 1: a new thing called Daho Hotel past thing that's starting

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Speaker 1: to catch on hotels that are trying to get around

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Speaker 1: that where you can like get it for half the

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Speaker 1: day or whatever, or do reduced rate because it's just

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Speaker 1: sitting there and making nobody any money. I didn't get

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Speaker 1: to the best quote in this art.

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Speaker 3: Oh well that's next.

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Speaker 1: They ruined it. Armstrong and Getty. Listen to this.

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Speaker 2: Sketchers just released a new line of kids shoes that

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Speaker 2: have a hidden air tag compartment under the insol.

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Speaker 1: Yeah.

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Speaker 2: They're also offering them to grandparents who wander off of them.

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Speaker 1: All Grandpa's over by the Pande Express.

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Speaker 3: So well, that's pretty interesting. You put an air tag

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Speaker 3: in your kids the tongue of your kid's shoe and

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Speaker 3: track them. I guess like a beast. Your kids get

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Speaker 3: very old at all. They either have a watch or

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Speaker 3: a phone you're tracking.

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Speaker 1: Yeah. Yeah, So we're talking about these love hotels in

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Speaker 1: Brazil that are going to be converted to regular hotels

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Speaker 1: for the big Giant Climate Conference. A couple of the

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Speaker 1: quotes that I found delicious, we didn't have time for

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Speaker 1: them because Jack interjected a real life relevant aspect to

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Speaker 1: the story. Very rude, said Ricardo to Chera, who manages

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Speaker 1: two such motels. Quote. People think it's like a brothel,

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Speaker 1: but it's just a space like any other Right, he's

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Speaker 1: not sure if he will stop offering sex toy rentals

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Speaker 1: in the room.

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Speaker 3: Okay, that seems more brothel adjacent. Oh a rental.

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Speaker 1: I mean, look, I've heard if it flies or floats,

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Speaker 1: you're better off renting it. Certainly, if it you know,

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Speaker 1: fill in the blank, I'd go ahead and buy it.

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Speaker 3: Yeah, on your own.

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Speaker 1: Yeah, yeah, just be sure of everything anyway. I don't

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Speaker 1: want to go too far down that road. And then

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Speaker 1: my favorite quote you're on. Costa, the owner of Motel Secretou,

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Speaker 1: said he is quote taking out anything too erotic from

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Speaker 1: the rooms. But I have to think about what comes

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Speaker 1: after the summit. I can't just a ton of money

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Speaker 1: and tear everything out. As Costa took the New York

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Speaker 1: Times Reporter on the tour of the motel, the two

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Speaker 1: heard quote loud moans this might be a bit awkward.

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Speaker 1: Costa said, there's love making going on.

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Speaker 2: Oh.

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Speaker 1: I don't know why I love that so much, but

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Speaker 1: I do.

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Speaker 3: I do like when industries get disrupted with a brand

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Speaker 3: new idea. And that's what I was talking about this

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Speaker 3: last segment. You know, like taxis were the same thing forever,

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Speaker 3: then all of a sudden, because of app technology. It

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Speaker 3: just completely blow up the whole industry. And then the

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Speaker 3: idea of like you got a nice house and you're

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Speaker 3: on vacation, why not rent it out for the whole

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Speaker 3: time you're gone to somebody who might want to be

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Speaker 3: in your area. I mean, that is a obvious, obvious

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Speaker 3: once it happens sort of idea. And there's this thing

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Speaker 3: that's starting I hope catches on with hotels where we're

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Speaker 3: making no money a lot of times because there's no reason, no,

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Speaker 3: somebody doesn't want to stay the whole night, and then

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Speaker 3: nobody's in here between like ten and three or ten

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Speaker 3: and four whatever, every single day we're getting nothing where

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Speaker 3: people can just buy a chunk of the day for

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Speaker 3: a napper. I suppose there's kind of twists or whatever,

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Speaker 3: but for whatever your situation is. And hotels are starting

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Speaker 3: to do that or their spot. So you got a

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Speaker 3: nice hotel, you got your pool area, you got your gym, whatever,

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Speaker 3: there's nobody in it on a Tuesday at two o'clock.

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Speaker 3: You're making nothing. And now you can buy these like

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Speaker 3: day passes where you can go do that for less money,

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Speaker 3: but they make some money. And I'll bet that industry

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Speaker 3: a year from now, two years from now looks completely different. Wow,

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Speaker 3: where you can go to your local you're nearby hotel,

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Speaker 3: nice decent hotel and sleep for a couple hours, workout

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Speaker 3: if you want for a reasonable price, instead of it

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Speaker 3: nobody making any money and nobody being able to use it.

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Speaker 1: People who are devotees, they're enamored with the central control,

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Speaker 1: government control. I don't get you. The free market is

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Speaker 1: so exciting and so much fun and so clever. Americans

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Speaker 1: are incredibly ingenious people. We come up with all sorts

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Speaker 1: of crazy ideas. The ones that aren't good they go away. Oh,

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Speaker 1: the need for control, I just don't get it this.

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Speaker 3: Did you have something you want to get into here?

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Speaker 1: I did, But god I do. It doesn't matter.

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Speaker 3: I was going to talk about this article in Fortune magazine.

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Speaker 3: The AI boom is now bigger than the nineties dot

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Speaker 3: com bubble, which is legendary and discussed as you know,

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Speaker 3: a major moment in time in all kinds of different ways.

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Speaker 3: And it's built on the backs of bots, mostly which

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Speaker 3: I don't think most of us know. Many of us

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Speaker 3: have had this situation where you think maybe you're chatting

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Speaker 3: with somebody real like helping you on a website or whatever.

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Speaker 3: Then you finally figure out it's not real. It's not

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Speaker 3: a real human being. That is happening more and more,

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Speaker 3: and they're going to get better and harder to suss

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Speaker 3: out than they've ever been before. But the majority of

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Speaker 3: traffic out there, at least according to Hanson who actually

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Speaker 3: read this thing, is that there are more bots out

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Speaker 3: there there than not.

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Speaker 1: When you're so the majority of its bots, Yeah, I

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Speaker 1: always assume I'm talking to a bot, you do. Yeah, boy.

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Speaker 3: I had a good one last night. And I don't

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Speaker 3: know if this counts as that sort of thing, but

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Speaker 3: I got a phone call from and it said spam

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Speaker 3: risk on there. It was a local area code, but

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Speaker 3: not a number I know. And I answered it and

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Speaker 3: it was a very convincing real person in the beginning,

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Speaker 3: Hey Jack, how's it going? And I said pretty good. Hey,

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Speaker 3: I just got a question for you about your uh,

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Speaker 3: your checking account. I said, okay, cool, what what are

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00:22:38,400 --> 00:22:40,360
Speaker 3: you calling about? And they said, oh, it's that thing

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00:22:40,400 --> 00:22:42,400
Speaker 3: with you, and then it just it was vague enough

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Speaker 3: it became clear that and then I tried to interrupt

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Speaker 3: once and it kept talking, Oh, you're not a real person,

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Speaker 3: but it was really good.

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Speaker 1: It took me.

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Speaker 3: Several sentences in before I figured out it wasn't a

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Speaker 3: real human being. And you know it's going to be

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Speaker 3: way better two years from now, Yes, Katie.

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Speaker 1: I think.

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Speaker 4: I think part of what this study is referring to

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Speaker 4: also is like you can purchase followers, right so Instagram, Twitter.

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Speaker 1: If you go to somebody who.

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Speaker 4: Has like a page that might have fifty thousand followers

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Speaker 4: to it, but every one of their posts gets like

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Speaker 4: twelve likes, you know they bought their followers, and you

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Speaker 4: can buy them, buy the hundreds of.

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Speaker 3: Thousands really and oh yeah, is it pretty cheap?

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Speaker 1: Oh yeah, super cheap.

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Speaker 3: Yeah. The problem is we all know what the spam

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Speaker 3: phone calls and emails and all that sort of stuff is.

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Speaker 3: It costs them nothing. It's not like the old days

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Speaker 3: where it costs you something to send you a an

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Speaker 3: AD in the mailbox. So the the incentive didn't work

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Speaker 3: to send out a million flyers into mailboxes if you

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Speaker 3: weren't going to get in responses. That's not true with

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Speaker 3: these robo calls and emails everything like that. It costs

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Speaker 3: them nothing to send out a billion every second, and

437
00:23:56,800 --> 00:24:00,200
Speaker 3: if you get one response, it's a profit. Don't know

438
00:24:00,200 --> 00:24:01,000
Speaker 3: how we're ever gonna.

439
00:24:00,760 --> 00:24:03,199
Speaker 1: Get past that. Yeah, I don't. Yeah, I don't know

440
00:24:03,640 --> 00:24:05,639
Speaker 1: speaking of that sort of thing. I was just I

441
00:24:05,680 --> 00:24:11,720
Speaker 1: saw the headline yesterday, big text, four hundred billion dollar

442
00:24:11,920 --> 00:24:15,840
Speaker 1: AI spending spree. You just got Wall Street's blessing. It's

443
00:24:15,880 --> 00:24:20,480
Speaker 1: about Microsoft and Meta and Google and Amazon and x

444
00:24:20,520 --> 00:24:26,280
Speaker 1: and everybody's spending like lunatics on AI. And speaking of

445
00:24:26,320 --> 00:24:30,239
Speaker 1: the dot com bubble, Okay, well, what does what does

446
00:24:30,280 --> 00:24:34,000
Speaker 1: Wall Street think of the companies that they're invested in

447
00:24:34,119 --> 00:24:37,800
Speaker 1: spending that wildly on AI? And the story was, well, yeah,

448
00:24:37,920 --> 00:24:41,040
Speaker 1: it's it's going up. Everybody seems to think it's fine,

449
00:24:41,119 --> 00:24:44,320
Speaker 1: the stock is going up, and got Wall Street's thumbs up.

450
00:24:44,320 --> 00:24:47,479
Speaker 1: But then today I'm looking at stocks and you know,

451
00:24:47,520 --> 00:24:50,040
Speaker 1: Apple is down, going on two and a half percent,

452
00:24:50,880 --> 00:24:55,840
Speaker 1: and Tesla's down, Google's down, everything's down.

453
00:24:55,920 --> 00:24:59,520
Speaker 3: So yeah, I don't, Well I don't respond to one day.

454
00:25:00,320 --> 00:25:02,520
Speaker 1: Well, no, neither do I. That's that's kind of the point.

455
00:25:02,720 --> 00:25:04,800
Speaker 1: The Nasdaq as a whole is down almost two percent,

456
00:25:04,920 --> 00:25:08,000
Speaker 1: So yeah, I don't. It's difficult to draw that sort

457
00:25:08,000 --> 00:25:11,199
Speaker 1: of conclusion, but yeah, they are spending abstounding amounts of

458
00:25:11,200 --> 00:25:13,520
Speaker 1: money on developing AI technology.

459
00:25:13,720 --> 00:25:19,560
Speaker 3: Somebody was making the point yesterday about the this was

460
00:25:19,640 --> 00:25:22,920
Speaker 3: the whole If the tariffs are going to cause such disruption,

461
00:25:23,040 --> 00:25:25,600
Speaker 3: why are we setting records in the stock market every

462
00:25:25,640 --> 00:25:28,480
Speaker 3: single day? And somebody broke it down on and this

463
00:25:28,520 --> 00:25:31,960
Speaker 3: has been true for a long time now, that the

464
00:25:32,000 --> 00:25:36,359
Speaker 3: stock market, specifically the Dow, but the stock market is

465
00:25:36,400 --> 00:25:40,720
Speaker 3: driven so much by Nvidia and Apple and a couple

466
00:25:40,800 --> 00:25:43,879
Speaker 3: other companies that it kind of distorts a lot of

467
00:25:43,920 --> 00:25:47,200
Speaker 3: other companies that haven't been doing that well. Right, And

468
00:25:47,359 --> 00:25:49,280
Speaker 3: you just if you're just kind of like barely paying

469
00:25:49,280 --> 00:25:51,720
Speaker 3: attention like me, you just hear the stock market saying

470
00:25:51,720 --> 00:25:54,720
Speaker 3: a record. But if it's all tech stocks betting on AI,

471
00:25:56,160 --> 00:25:59,679
Speaker 3: you don't know. And Apple said the tariff situation they

472
00:25:59,720 --> 00:26:02,600
Speaker 3: think going to cost him well over a billion dollars

473
00:26:03,400 --> 00:26:09,800
Speaker 3: this next quarter. How that gets passed through the bloodstream,

474
00:26:09,840 --> 00:26:10,240
Speaker 3: I don't know.

475
00:26:12,160 --> 00:26:15,160
Speaker 1: One more tech story that I thought was interesting. Autonomous

476
00:26:15,160 --> 00:26:18,200
Speaker 1: trucks are now driving the highways of Texas at night,

477
00:26:18,840 --> 00:26:21,800
Speaker 1: hauling food and dairy between Dallas and Houston. It's big step.

478
00:26:21,880 --> 00:26:25,239
Speaker 1: Waimo has been driving driver less robotaxis around like San

479
00:26:25,280 --> 00:26:30,199
Speaker 1: Francisco in LA but autonomous trucks have been stuck mainly

480
00:26:30,280 --> 00:26:35,200
Speaker 1: to some experiments, daytime hours and good weather. But now

481
00:26:35,320 --> 00:26:38,840
Speaker 1: this company, Aurora Innovation that's the startup behind the trucks

482
00:26:38,920 --> 00:26:42,520
Speaker 1: in Texas, said it's reached a new milestone with its

483
00:26:42,800 --> 00:26:43,840
Speaker 1: lidar system.

484
00:26:43,960 --> 00:26:45,639
Speaker 3: Yeah, that's what they got in the new Tesla is

485
00:26:45,640 --> 00:26:47,760
Speaker 3: the lidar as opposed to be whatever the old.

486
00:26:47,600 --> 00:26:51,320
Speaker 1: System was, and Aurora says its system is now able

487
00:26:51,359 --> 00:26:53,840
Speaker 1: in the dark. Totech objects further than the length of

488
00:26:53,920 --> 00:26:57,360
Speaker 1: three football fields, enabling the vehicle to identify pedestrians, other

489
00:26:57,440 --> 00:27:00,520
Speaker 1: vehicles are debris on the road about eleven seconds, sooner

490
00:27:00,520 --> 00:27:03,840
Speaker 1: than a human driver eleven seconds. Yeah.

491
00:27:03,880 --> 00:27:06,120
Speaker 3: I was talking to Darren over in sales. He's got

492
00:27:06,119 --> 00:27:07,919
Speaker 3: one of the new Tesla Whyse and I've got the

493
00:27:07,920 --> 00:27:11,040
Speaker 3: cyber truck that has the light. Are also the current

494
00:27:11,160 --> 00:27:14,360
Speaker 3: automated driving thing. And I've been doing it for four

495
00:27:14,440 --> 00:27:17,040
Speaker 3: years now, three years now. It's night and day better

496
00:27:17,119 --> 00:27:20,480
Speaker 3: it is. It is shockingly good. He was talking about

497
00:27:20,520 --> 00:27:22,440
Speaker 3: how it makes moves sometimes that are better than he

498
00:27:22,440 --> 00:27:25,159
Speaker 3: would have done because you can't see where it can see.

499
00:27:25,840 --> 00:27:27,800
Speaker 3: I mean it's seeing things you can't see what the

500
00:27:27,880 --> 00:27:32,240
Speaker 3: light are, so makes traffic choices you wouldn't make because

501
00:27:32,240 --> 00:27:35,000
Speaker 3: it knows there's there's a It seems like you should

502
00:27:35,000 --> 00:27:36,840
Speaker 3: switch to the right lane to go around, but it

503
00:27:36,920 --> 00:27:38,760
Speaker 3: sees that you're better off sting in the left lane

504
00:27:38,760 --> 00:27:40,800
Speaker 3: because it can see things you can't see.

505
00:27:41,200 --> 00:27:43,240
Speaker 1: Oh, I'd love to know more about it how that works.

506
00:27:43,600 --> 00:27:44,520
Speaker 1: I believe you, Mike.

507
00:27:44,640 --> 00:27:47,280
Speaker 3: Mike, my cyber truck did a merging thing yesterday that

508
00:27:47,400 --> 00:27:51,720
Speaker 3: was shockingly good. I mean, a very complex maneuver. I thought, wow,

509
00:27:51,880 --> 00:27:52,720
Speaker 3: that is something else.

510
00:27:52,840 --> 00:27:54,080
Speaker 1: Yes, Katie, what would.

511
00:27:53,920 --> 00:27:56,760
Speaker 4: Be really amazing if during the winter, if it can

512
00:27:56,800 --> 00:27:59,800
Speaker 4: detect like black ice or something like that, to find

513
00:27:59,840 --> 00:28:02,760
Speaker 4: that in the land, because that's a huge problem.

514
00:28:03,200 --> 00:28:05,320
Speaker 3: Uh yeah, I don't know how they're going to handle that.

515
00:28:05,400 --> 00:28:07,960
Speaker 3: Although human being's ability to drive on black ice is

516
00:28:08,000 --> 00:28:08,520
Speaker 3: not very good.

517
00:28:08,640 --> 00:28:12,400
Speaker 4: So all the carcan detect that the road texture is changing.

518
00:28:12,600 --> 00:28:13,880
Speaker 3: Sure, that would be a good thing.

519
00:28:14,040 --> 00:28:17,040
Speaker 1: Yeah. Yeah, knowing it's there is the key. So how

520
00:28:17,080 --> 00:28:21,000
Speaker 1: long before like ninety percent of America's truck drivers are unemployed?

521
00:28:21,200 --> 00:28:23,760
Speaker 3: I wonder I heard the stat on how how many

522
00:28:23,840 --> 00:28:27,080
Speaker 3: jobs are driver related. It's a really big number. I

523
00:28:27,119 --> 00:28:29,840
Speaker 3: think it's like ten percent of all workers have a

524
00:28:29,920 --> 00:28:32,720
Speaker 3: driving aspect. To it and if that gets taken away, yeah,

525
00:28:32,960 --> 00:28:34,120
Speaker 3: that'll be a huge disruption.

526
00:28:35,720 --> 00:28:40,560
Speaker 1: Coming up. A sad story inside the Corporation for Public

527
00:28:40,600 --> 00:28:45,040
Speaker 1: Broadcasting board meeting after the big vote to rescind their funding.

528
00:28:47,320 --> 00:28:49,520
Speaker 3: I am going to really enjoyable. Do I get to

529
00:28:49,600 --> 00:28:50,960
Speaker 3: drink some liberal tears here?

530
00:28:51,800 --> 00:28:54,560
Speaker 1: You are going to be lapping them up like a

531
00:28:54,600 --> 00:28:55,560
Speaker 1: thirsty hound dog.

532
00:28:55,680 --> 00:28:58,120
Speaker 3: Jack. It's actually kind of gross when you take it

533
00:28:58,120 --> 00:29:04,840
Speaker 3: that far. Okay. We got that next day briefly because

534
00:29:04,840 --> 00:29:06,840
Speaker 3: I don't want to get into this can of worms.

535
00:29:06,880 --> 00:29:10,000
Speaker 3: We got a ridiculous number of texts about Lydar in

536
00:29:10,040 --> 00:29:13,160
Speaker 3: Tesla's and automatic driving cars that that Tesla does not

537
00:29:13,280 --> 00:29:16,040
Speaker 3: use lightar and Elon musk Head fairly famously. If you're

538
00:29:16,080 --> 00:29:18,000
Speaker 3: into the sort of thing, and none of you are, said,

539
00:29:18,080 --> 00:29:20,200
Speaker 3: Lydar is a fool's air, And several years ago then

540
00:29:20,240 --> 00:29:22,840
Speaker 3: did a U turn into start putting Ldar in his

541
00:29:23,080 --> 00:29:26,880
Speaker 3: newest cars, but only as a backup to the cameras

542
00:29:26,960 --> 00:29:29,560
Speaker 3: or something or other, whatever the hell, and I don't

543
00:29:29,600 --> 00:29:32,360
Speaker 3: care it. Also, y'all argue with yourself about that.

544
00:29:33,360 --> 00:29:37,240
Speaker 1: Lydar reminds me of the liger. That's my favorite animal.

545
00:29:37,840 --> 00:29:40,120
Speaker 3: This is interesting, though, Lightar is a way to like

546
00:29:40,200 --> 00:29:43,440
Speaker 3: help self driving cars. The price dropped in a couple

547
00:29:43,480 --> 00:29:47,200
Speaker 3: of years from roughly one hundred thousand dollars per unit

548
00:29:47,360 --> 00:29:48,960
Speaker 3: that it would cost to if you want to light art,

549
00:29:49,040 --> 00:29:51,560
Speaker 3: to a thousand. That's how much how much cheaper the

550
00:29:51,600 --> 00:29:53,760
Speaker 3: technology got in a fast amount of time.

551
00:29:54,160 --> 00:29:58,719
Speaker 1: That's crazy, I know crazy. In a completely unrelated story,

552
00:29:58,760 --> 00:30:02,520
Speaker 1: and multiple officials at the Corporation for Public Broadcasting wept

553
00:30:02,600 --> 00:30:06,320
Speaker 1: during a board meeting last week, and the agency's president

554
00:30:06,360 --> 00:30:09,920
Speaker 1: recited lines from a Shakespeare tragedy, all in an outpouring

555
00:30:09,920 --> 00:30:13,160
Speaker 1: of emotion and drama over the Congress's vote to cancel

556
00:30:13,200 --> 00:30:17,800
Speaker 1: the organization's budget fund NPR and other public media outlets

557
00:30:17,800 --> 00:30:25,880
Speaker 1: because of its overwhelming insufferable liberal bias. CBPCPB president Pat

558
00:30:25,920 --> 00:30:29,040
Speaker 1: Harrison and the organizations for board members took part in

559
00:30:29,080 --> 00:30:32,760
Speaker 1: a board meeting. Harrison acknowledged bias at CPB, which she

560
00:30:32,800 --> 00:30:37,080
Speaker 1: has overseen for twenty years. Quote is there bias? In

561
00:30:37,160 --> 00:30:39,960
Speaker 1: an audio recording of the meeting. Sure, we're not perfect,

562
00:30:40,040 --> 00:30:43,080
Speaker 1: but we are working on that. No give me, adding

563
00:30:43,160 --> 00:30:45,400
Speaker 1: that the leftward slant of public media is quote not

564
00:30:45,440 --> 00:30:48,960
Speaker 1: a legitimate reason to shut down everything. That's funny that

565
00:30:49,000 --> 00:30:53,280
Speaker 1: contradicts claims from Democrats and the NPR Chief executive Catherine Mayer,

566
00:30:53,320 --> 00:30:57,480
Speaker 1: who infamously told Congress in March that a sometimes the

567
00:30:57,600 --> 00:30:59,480
Speaker 1: truth gets in the way of the things we need

568
00:30:59,520 --> 00:31:03,720
Speaker 1: to do and said I have never seen political bias

569
00:31:03,760 --> 00:31:04,360
Speaker 1: at NPR.

570
00:31:04,600 --> 00:31:07,400
Speaker 3: You don't need to go into those quotes. It contradicts

571
00:31:07,480 --> 00:31:12,440
Speaker 3: my earballs, It contradicts everybody's earballs. Whoever listens to NPR

572
00:31:13,040 --> 00:31:15,560
Speaker 3: this morning, I speaking of my cyber truck. I threw

573
00:31:15,680 --> 00:31:17,760
Speaker 3: up in my car, in my trucks when I got

574
00:31:17,800 --> 00:31:19,240
Speaker 3: to clean it up. It's been sitting in the hot sun,

575
00:31:19,400 --> 00:31:23,120
Speaker 3: probably grows. When I heard an ad they keep running

576
00:31:23,120 --> 00:31:26,280
Speaker 3: on NPR about how great they are and they're going

577
00:31:26,320 --> 00:31:28,920
Speaker 3: to tough it out during these difficult times since Trump

578
00:31:28,960 --> 00:31:31,280
Speaker 3: pulled the funding on NPR, and one of them said

579
00:31:31,720 --> 00:31:34,680
Speaker 3: it was some caller saying, keep speaking truth to power.

580
00:31:35,120 --> 00:31:37,640
Speaker 3: We will, Jim, we will. And that's when I vomited

581
00:31:37,680 --> 00:31:39,160
Speaker 3: all over the inside of my cyber truck.

582
00:31:39,920 --> 00:31:42,320
Speaker 1: The rest of the board meeting was a sombra affair,

583
00:31:42,360 --> 00:31:45,080
Speaker 1: with Harrison and several board members breaking into tears while

584
00:31:45,080 --> 00:31:48,040
Speaker 1: discussing the funding cuts, which they cast as an existential

585
00:31:48,080 --> 00:31:55,960
Speaker 1: crisis for American democracy. Never in fifty eight years and

586
00:31:56,040 --> 00:31:59,040
Speaker 1: the operations as CPB in our public media system been

587
00:31:59,120 --> 00:32:06,200
Speaker 1: so maligned attacked, said a bored person reappointed by Joe

588
00:32:06,240 --> 00:32:09,440
Speaker 1: Biden in twenty twenty two. It's a terrible miscarriage. Harrison

589
00:32:09,480 --> 00:32:12,320
Speaker 1: grew emotional during her remarks, which she ended by reading

590
00:32:12,600 --> 00:32:16,200
Speaker 1: a speech from the Shakespeare tragedy Henry the Fifth, given

591
00:32:16,200 --> 00:32:18,560
Speaker 1: on the eve of the King's battle against the French

592
00:32:18,720 --> 00:32:20,480
Speaker 1: army at the Battle of AJung.

593
00:32:20,600 --> 00:32:22,640
Speaker 3: Could the Saint Crispin Day speech.

594
00:32:23,160 --> 00:32:26,000
Speaker 1: With apologies to Shakespeare and King Henry the Fifth, whose

595
00:32:26,080 --> 00:32:28,760
Speaker 1: ragtag army was outnumbered by the French at the Bottle

596
00:32:28,800 --> 00:32:32,920
Speaker 1: of Ajuncorps. But despite those went on to win against

597
00:32:33,000 --> 00:32:38,040
Speaker 1: those odds and hold their on her cheap. There weren't

598
00:32:38,120 --> 00:32:40,880
Speaker 1: just like them. Everybody will wish they were with us

599
00:32:40,920 --> 00:32:45,800
Speaker 1: fighting today, aimed for that win for public media, and

600
00:32:45,840 --> 00:32:48,840
Speaker 1: then they compared themselves to Russell Crowe and Master and commander.

601
00:32:48,880 --> 00:32:49,720
Speaker 1: But we're out of time.

602
00:32:50,360 --> 00:32:57,640
Speaker 3: Hey kids, it's that time again with Armstrong Ngetdy. Here's

603
00:32:57,680 --> 00:33:00,600
Speaker 3: your host for final thought, Joe Getty.

604
00:33:00,840 --> 00:33:02,560
Speaker 1: Let's get a final thought from everybody on the crew.

605
00:33:02,600 --> 00:33:04,720
Speaker 1: Michael An's low in the control room, Lead us away,

606
00:33:05,160 --> 00:33:07,760
Speaker 1: lead us off. Michael Well, PBS needs money, so get

607
00:33:07,800 --> 00:33:09,640
Speaker 1: ready for a lot of pledge breaks. So a lot

608
00:33:09,640 --> 00:33:13,440
Speaker 1: of Lawrence Welke and Bob Ross and begging for money.

609
00:33:13,440 --> 00:33:15,440
Speaker 1: So hope you like the tote bags and all that stuff.

610
00:33:15,640 --> 00:33:17,600
Speaker 3: Hope space in your closet for tote bags.

611
00:33:18,160 --> 00:33:20,960
Speaker 1: Peter, Paul and Mary from nineteen eighty six. We'll get

612
00:33:21,000 --> 00:33:23,800
Speaker 1: back right after a quick word from our local celebrity,

613
00:33:24,200 --> 00:33:27,120
Speaker 1: Katie Greener, a steam Newswoman. As a final thought, Katie.

614
00:33:26,840 --> 00:33:30,240
Speaker 4: Speaking of tote bags, if you guys use the reusable.

615
00:33:29,840 --> 00:33:32,000
Speaker 1: Grocery bags, clean them out.

616
00:33:32,520 --> 00:33:35,040
Speaker 4: Take a wipe, clean out the inside.

617
00:33:34,680 --> 00:33:37,560
Speaker 1: Of the bag. It'll save your groceries and it'll save

618
00:33:37,600 --> 00:33:38,160
Speaker 1: your checker.

619
00:33:38,760 --> 00:33:41,920
Speaker 3: Just do it, so criss Jack of final thought, I

620
00:33:41,960 --> 00:33:44,600
Speaker 3: used to have the entire Saint Chrispin's Day speech memorized

621
00:33:44,640 --> 00:33:47,000
Speaker 3: from Henry the Fifth and Englishman Now a bed will

622
00:33:47,000 --> 00:33:49,760
Speaker 3: hold their lives cheap. That they were not here with

623
00:33:49,840 --> 00:33:55,160
Speaker 3: us to give that speech about NPR not getting taxpayer

624
00:33:55,240 --> 00:33:58,640
Speaker 3: money to be a progressive outlet for their news is hilarious.

625
00:33:59,160 --> 00:34:01,480
Speaker 1: My final thought. The captain of the ship, they're under

626
00:34:01,480 --> 00:34:04,400
Speaker 1: heavy fire in Master and Commander there's a little boy,

627
00:34:04,400 --> 00:34:06,880
Speaker 1: a little midshipman, and he tucks down, and the captain

628
00:34:06,920 --> 00:34:09,600
Speaker 1: played by Russell Krowe, he reaches over the little boy

629
00:34:09,600 --> 00:34:12,759
Speaker 1: and he says, stand tall on the quarterdecks, all of us.

630
00:34:12,920 --> 00:34:15,800
Speaker 1: That's what I'm gonna think about you, Pat continued Rothmann.

631
00:34:15,960 --> 00:34:19,520
Speaker 3: You've stood tall at the quarterdeck under heavy and unfair fire.

632
00:34:19,960 --> 00:34:26,640
Speaker 3: You people are insane, actually crazy. See him Monday. God

633
00:34:26,719 --> 00:34:28,680
Speaker 3: bless America.

634
00:34:29,680 --> 00:34:33,920
Speaker 1: Armstrong and Getty. We're very proud to have entertained you.

635
00:34:33,440 --> 00:34:38,520
Speaker 3: This week on the Armstrong and Getty. But right now

636
00:34:39,160 --> 00:34:40,399
Speaker 3: it's time to go.

637
00:34:41,760 --> 00:34:47,680
Speaker 1: We return same time next week with another stunning show

638
00:34:48,600 --> 00:34:58,640
Speaker 1: with moments like this that you show. No the olive

639
00:34:58,719 --> 00:35:04,480
Speaker 1: oil and Rosemary trisk it for the sophisticated non child palette.

640
00:35:04,600 --> 00:35:05,480
Speaker 3: It is crap.

641
00:35:05,520 --> 00:35:07,279
Speaker 1: If you have to dress it up that much, well

642
00:35:07,480 --> 00:35:14,319
Speaker 1: go eat an oreo sister shred on that notes. Thank

643
00:35:14,400 --> 00:35:20,560
Speaker 1: you very much, very much. I'm strong and gay, strong,

644
00:35:20,760 --> 00:35:25,000
Speaker 1: and Gandy strong and gany