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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, Katty.

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Speaker 2: Arm Strong and Getty and now he Armstrong and Yetty.

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Speaker 3: So I just got a statement from the Mayor's office

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Speaker 3: about five minutes ago saying that this is tragic and unacceptable,

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Speaker 3: and then they're gonna be out there tomorrow offering resources

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Speaker 3: and help and trying to clean up this area the

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Speaker 3: best they can.

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Speaker 1: What are we talking about, the mayor of Los Angeles?

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Speaker 1: What's tragic and unacceptable? Ssj's my friend, ssj's subterranean sewer junkies,

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Speaker 1: the shocking report for Matthew Seedorf of Fox eleven LA.

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Speaker 1: They do a great job talking about well subterranean stewor junkies.

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Speaker 1: Matthew will start with thirty and work our way, Michael

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Speaker 1: talk to us.

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Speaker 3: Matthew an up close, exclusive look underground at living conditions

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Speaker 3: too extreme for words. It's hard to imagine someone in

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Speaker 3: the trash, human waste and going in an overpowering stench.

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Speaker 4: A I gotta get back.

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Speaker 3: Just moments earlier, we watched someone climb out of that

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Speaker 3: storm drain using the sewer as shelter.

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Speaker 2: Water for.

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Speaker 3: Her answer is hard to understand. But the area eighty

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Speaker 3: eighth and South Grand overwhelmed with r v's tents and trash.

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Speaker 4: Wow, how far down the road of being a junkie

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Speaker 4: do you have to be before you make those decisions?

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Speaker 4: Of course they're going to. They portray this all as homelessness,

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Speaker 4: and you know, in the lack of affordable housing, you can't, well,

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Speaker 4: I don't.

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Speaker 1: I don't think Matthew and Fox eleven do frequently it is.

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Speaker 4: But yeah, but the world will, the world at large

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Speaker 4: will because you don't just like you can't afford some

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Speaker 4: place to live and decide I'll go live in the sewer.

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Speaker 2: I'll go live in wet filth in the soar. Yeah.

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Speaker 1: Years ago I read a book I wish I could.

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Speaker 1: It might have been the entitled The Mole People. It

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Speaker 1: was a journalist, a writer who went down into the

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Speaker 1: legendary much discussed bowels of the subway system of New

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Speaker 1: York City, including closed stations and no longer use tubes

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Speaker 1: and the rest of it, and found like small cities

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Speaker 1: of people living down there. Some were down under lock sums,

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Speaker 1: were bums, junkies, some were mentally ill, but just crazy crazy.

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Speaker 2: If I can.

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Speaker 1: If I can find that title, I'll tweet it or

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Speaker 1: something or post at Armstrong and Giddy dot com. Fascinating

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Speaker 1: book out of date, The fascinating Matthew Seedorf continues, one.

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Speaker 3: Nolla with nonprofit Clean La with me was picking up

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Speaker 3: garbage here Monday.

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Speaker 2: We've got a lady live in there.

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Speaker 3: When you saw not one but two people emerge from

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Speaker 3: the storm drain, I can't explain that you know a

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Speaker 3: person living like a rot worse than the rot? Come on, hello,

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Speaker 3: and just two weeks ago it happened again. Is even

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Speaker 3: another street in South Lay another person living underground?

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Speaker 4: Is a human?

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Speaker 1: Is a human being?

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Speaker 2: Why are we accepting this?

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Speaker 5: Why all the officials they have to do something, They

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Speaker 5: have to fix this problem.

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Speaker 1: Ah, there we have it. All the officials, they have

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Speaker 1: to do something. Why do we accept this? Oh boy?

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Speaker 1: And that lovely human emotion has led to the waste

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Speaker 1: of billions tens of billions of dollars in the state

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Speaker 1: of cal Unicornea alone.

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Speaker 4: Joe, we're all one medical bill away from living in

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Speaker 4: the sewer.

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Speaker 1: Incorrect sir. The title of the book I refer to,

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Speaker 1: thank you very much. The Mold People Life in the

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Speaker 1: Tunnels beneath New York City.

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Speaker 2: So I'm not exactly.

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Speaker 4: I don't know that much about big city sewers. So

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Speaker 4: where are you exactly in relation to the cities pooh?

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Speaker 2: Do you believe it is part of your world?

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Speaker 4: Are you like neck deep in it?

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Speaker 1: Or you live in uh property on the poop river?

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Speaker 2: So what what is it?

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Speaker 4: I mean? I don't, I don't.

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Speaker 6: I've seen a couple of like YouTube documentaries of of

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Speaker 6: people that have gone down there, and it's like, ankle

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Speaker 6: up to your ankles walking around and slug but.

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Speaker 2: Just ankle deep.

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Speaker 1: Yeah, your it's just your ankles. Is not a big deal,

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Speaker 1: that's right, doctor Johnny. Ankle deep in the uh human waste? Yes,

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Speaker 1: holy crap, if pardon expression, that is certainly look I

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Speaker 1: will join that hispanic fellow.

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Speaker 2: And I was saying, that's that's a that's a rough

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Speaker 2: way to live, like a rat. Oh wow.

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Speaker 4: And is it pitch dark down there?

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Speaker 1: What are they using for light lights?

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Speaker 6: Yeah? I mean that they have certain little light fixtures

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Speaker 6: that they hang.

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Speaker 7: But if they dry places to sleep or they saw it,

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Speaker 7: so yeah, in the particular video that I saw, a

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Speaker 7: lot of them had hammocks that they would climb.

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Speaker 2: Up in there you go and comfortable.

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Speaker 1: I'm not an expert in this by any means, but

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Speaker 1: there is an intersection of storm drains sometimes and sores

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Speaker 1: that's changed from the olden days when they used to

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Speaker 1: be the same thing. Like in London famously, if it rained,

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Speaker 1: you know, everybody, everybody's poop rolled into the Thames and

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Speaker 1: it was incredibly polluted. Oh god, Oh yeah, I know

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Speaker 1: it's horrific, but we don't. We don't do that in

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Speaker 1: the civilized world anymore.

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Speaker 2: But I don't. I can't speak to LA's sores in particular.

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Speaker 4: Is there more?

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Speaker 1: Uh, it's just another person saying people don't deserve to

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Speaker 1: live like I want.

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Speaker 4: I want to hear it again.

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Speaker 2: Let's hear it. Sure, sure, Hey, it kisses me off.

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Speaker 2: That's why I say, what should do?

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Speaker 3: If and it's down on the clean neighbor's angry, say

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Speaker 3: they've reported the problems but feel ignored.

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Speaker 2: Like we need John, Hell, we need that money. The

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Speaker 2: public here need.

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Speaker 3: Then a shocking snapshot of survival at its lowest point.

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Speaker 5: This person doesn't deserve to live like this, not even

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Speaker 5: the neighbors.

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Speaker 4: Yeah, all right, hispanic guy, I'd like to argue with you.

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Speaker 4: It's possible that they do deserve to live like that.

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Speaker 4: It's possible that if you looked at their life choices

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Speaker 4: for the past decade or so, that you'd think that's

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Speaker 4: about where you're gonna.

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Speaker 1: End up or dead yep, yep, subterranean sword junkie. Yeah exactly. Uh,

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Speaker 1: I like the neighbor that gal who And this is

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Speaker 1: so familiar, folks. I'll bet a lot of you are

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Speaker 1: gonna nod your heads or shout at the radio. You've

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Speaker 1: begged the authorities to do something about the junkie camps.

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Speaker 2: You've begged them to clear them out.

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Speaker 4: You're like, we didn't have junkies in the park ten

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Speaker 4: years ago, fifteen years ago, the street corners in front

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Speaker 4: of businesses.

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Speaker 2: We used to have civilization here. What's happened?

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Speaker 1: Yeah, well, we can't really do anything because the ordnance

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Speaker 1: click and you get ignored. But then you know, hispanic

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Speaker 1: guy comes out and he's a boohooing over the junkies. Now,

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Speaker 1: I'm not saying they don't have miserable lives and they

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Speaker 1: don't deserve some Christian charity.

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Speaker 2: Rappy but crappy indeed, But how about that the law biting?

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Speaker 2: Who's our advocate.

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Speaker 1: I guess we are our advocate anyway. Oh, that reminds me.

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Speaker 1: You remember that Prince George's County, Maryland. I'm pretty sure

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Speaker 1: that's right. That condo complex where the bums and junkie

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Speaker 1: camp right next to it would break in constantly.

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Speaker 2: You're in a defecate in the halls.

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Speaker 1: Then they stole all the wires so the lights went out,

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Speaker 1: so the deep deep blue I think it's St. George's County.

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Speaker 1: I'll verify that.

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Speaker 2: Where is that?

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Speaker 1: I got too much open, But they're so liberal they

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Speaker 1: would do nothing about it. But then they declared the

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Speaker 1: condo uninhabitable and are kicking all the residents out. So

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Speaker 1: the residents are now suing the county with the help

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Speaker 1: of some good Goldwater Institute ought to get involved in

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Speaker 1: this because they had a huge win in Phoenix or

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Speaker 1: a very very similar issue. But those poor sons of

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Speaker 1: guns living in that condo complex, they're victimized over and

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Speaker 1: over again by the bumps and junkies and the progressive authorities.

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Speaker 2: It's horrifying.

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Speaker 6: Yeah, it's Prince George's County, Maryland at the Maryland or condos.

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Speaker 1: Right, I mean, look, I'm not happy that poor Gala

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Speaker 1: is climbing out of the soores like a rat according

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Speaker 1: to the onlooker. But I'm a lot more worried about

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Speaker 1: those law abiding folks who are getting kicked out of

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Speaker 1: their homes because these authorities won't clear out the chunkie camps.

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Speaker 4: Well, for all of our LA listeners, when you flush

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Speaker 4: your toilet today, oh boy, think about.

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Speaker 3: Fire in the hole.

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Speaker 4: Duck or duck or jump or something I don't know. Oh,

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Speaker 4: fire in them hole.

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Speaker 2: Oh boy, we gotta go to break or something that

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Speaker 2: is sadness, gonna take me a minute to recover.

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Speaker 4: We got more in the way. Any thoughts on that?

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Speaker 4: Our text line four one KFTC.

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Speaker 5: The city shows more people are applying for fast food jobs,

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Speaker 5: but many are not seen increase hours or even securing

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Speaker 5: amployment at all. It also finds businesses or cutting shifts,

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Speaker 5: customers are paying high prices, and more machines are replacing workers.

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Speaker 5: In the study you see Santa Cruz researchers also spoke

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Speaker 5: with a McDonald's franchise zoner in the Central Valley of

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Speaker 5: eighteen locations. They found employees got their hours cut by

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Speaker 5: over eleven and a half percent after the wage law

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Speaker 5: took effect. That drop equals to about sixty two full

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Speaker 5: time jobs. Researchers say, based on the two years of data,

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Speaker 5: the same pattern maybe happening across the state and not

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Speaker 5: just in Santa Cruz.

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Speaker 4: Yeah, because it's just simple economic sen It has happened

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Speaker 4: over and over again. It gets that thing we've been

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Speaker 4: talking about lately that like every generation or so, you

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Speaker 4: have to like retry the whole Marxist thing or socialism

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Speaker 4: to price controls.

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Speaker 2: Because it sounds like it would work.

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Speaker 4: I understand why. I it would have made sense to

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Speaker 4: me when I was twenty years old. It sounds like

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Speaker 4: a good idea. We've got to raise the minimum wage

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Speaker 4: for fast food workers.

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Speaker 2: It's not fair that they get.

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Speaker 4: But then the reality of all the things you just

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Speaker 4: heard there that the businesses can only charge so much

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Speaker 4: for a burger and stay open. And even with that,

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Speaker 4: they started charging more for the burgers. But they're gonna

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Speaker 4: cut your hours back, or get machines to do the job,

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Speaker 4: or all kinds of different things to get around it

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Speaker 4: because the economics don't change.

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Speaker 1: And that one franchise ease cutbacks was sixty two jobs,

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Speaker 1: sixty two full time jobs, right right, there's a great

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Speaker 1: story about that Starbucks in Seattle that unionized and they

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Speaker 1: went on strike. Well, all those people are fired, and

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Speaker 1: that Starbucks is closing and they are ineligible to work

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Speaker 1: in another Starbucks because you don't bring a business to

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Speaker 1: its knees and it forgives you and says, yeah, okay,

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Speaker 1: we'll pay you more, and just completely ignore the.

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Speaker 2: Math that we have to do every day.

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Speaker 1: Just I get naivete and I get knowing just enough

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Speaker 1: to be dangerous because we all go through that. But boy, howdy,

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Speaker 1: the very basics of economics and how prices work is

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Speaker 1: something every oh man, I was about to say, every

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Speaker 1: kid ought to walk out of school knowing. Unfortunately a

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Speaker 1: lot of them don't walk out of school knowing how

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Speaker 1: to read enough to know that.

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Speaker 4: But yeah, you've got to know that the minimum wage

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Speaker 4: saying and rent control and all these different things have

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Speaker 4: been tried over and over with the same disastrous result.

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Speaker 4: And then yeah, some of the politicians pitching them to

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Speaker 4: you know they don't work. But it's just in populous politics.

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Speaker 4: Some of them they're just they are idiots. Also, they

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Speaker 4: don't know that this hasn't been tried over and over again.

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Speaker 1: I think this is the one million time I've recommended

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Speaker 1: at least the first few chapters of The Myth of

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Speaker 1: the Rational Voter, which is a fascinating book, came out

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Speaker 1: twenty years ago.

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Speaker 2: Fifteen years ago.

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Speaker 1: It talked about, for some reason, on economic issues like this,

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Speaker 1: a far greater number of people than chance get it wrong.

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Speaker 1: It's at first blush counterintuitive. So many things in economics,

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Speaker 1: there's something about it. If you just know one thing,

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Speaker 1: you're gonna get it wrong over and over again. You

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Speaker 1: have to go another step and another step beyond it

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Speaker 1: when you look at economics to understand how it really

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Speaker 1: works in huge numbers. So yeah, you can bait naive

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Speaker 1: or stupid voters into voting for terrible economic policy over

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Speaker 1: and over again because.

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Speaker 2: You have to know a little more than a little.

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Speaker 4: So we're gonna post something apropos of nothing at the website.

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Speaker 4: That is hilarious.

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Speaker 1: And I don't believe in over selling things, and I am,

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Speaker 1: to some extent a professional humorist. It may be the

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Speaker 1: funniest thing I've ever seen. I've had to pause it

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Speaker 1: twice now because I was laughing so hard I thought

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Speaker 1: I might die.

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Speaker 4: It's all built out selling it it's all built around

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Speaker 4: a guy who got a bad haircut, and then the

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Speaker 4: comments on the internet, and what I take away from it,

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Speaker 4: not only is it one of the funniest things I've

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Speaker 4: ever seen in my life, is there are so many

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Speaker 4: funny people in the world. Oh yeah, the fact that

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Speaker 4: anybody can make a living being funny is amazing given

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Speaker 4: how many funny.

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Speaker 2: People there are in the world.

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Speaker 1: Oh yeah, yeah, it's it's more a question because I

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Speaker 1: I've said this through the years. I've known like cops especially,

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Speaker 1: and firefighters, and and guys like construction workers who spend umpires,

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Speaker 1: who spend all their time around other guys sharpening their

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Speaker 1: wit all day long. They're the funniest people in the world.

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Speaker 1: They just haven't done the work to have a career

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Speaker 1: doing that, right. But yeah, they're they're they're they're the

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Speaker 1: quickest witted sons of guns in the world.

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Speaker 4: So if you want something funny, go to armstrong ngeddy

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Speaker 4: dot com. We got to post it, therefore you also

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Speaker 4: retweeted it. So but men, there are a lot of

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Speaker 4: funny people on the internet. Angry people and funny people.

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Speaker 1: If it's humbling, if you're at work and you have

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Speaker 1: a door close your door before you watch it. It

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Speaker 1: is perfectly safe for work, but your dignity will be gone.

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Speaker 4: Oh yeah, so many funny people, so many crazy, angry

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Speaker 4: people online, and then so many just hilarious, snarky people,

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Speaker 4: stunningly talented musicians, right exactly, exactly, Yeah, you know, living

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Speaker 4: our lives with quiet, desperation and being those other things.

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Speaker 2: Apparently.

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Speaker 1: Yeah, the Internet, we're not built to take in that

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Speaker 1: much from that many people, that many opinions, that much hate,

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Speaker 1: that much violence, all of it. It will make us

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Speaker 1: all insane and kill us if we don't step away

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Speaker 1: from technology.

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Speaker 2: But it is pretty interesting. Yeah, i'd say.

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Speaker 4: Uh so, we banged on the minimum wage in California.

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Speaker 4: We banged on Los Angeles and the junkies living down

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Speaker 4: on the sewer. We might have to at some point,

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Speaker 4: since we are based out of California, hit on the reparations. Oh,

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Speaker 4: going forward still in San Francisco when it's being challenged

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Speaker 4: as a constitutional matter, but it's still moving forward, and

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Speaker 4: this is coming to your town somewhere. Yes, San Francisco,

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Speaker 4: as we all know, played a major role in the

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Speaker 4: Civil War and the whole slave trade, and lots of college.

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Speaker 1: Grown there Oh yeah, everybody knows that Jack plus the

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Speaker 1: latest new completely wildly idiotic.

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Speaker 2: Trend in gimmicky yoga. Stay with us for that. What

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Speaker 2: was the one we had the other day snake yoga? Yes,

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Speaker 2: snake yoga.

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Speaker 1: This makes snake yoga look reasonable, fantastics some matter of

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Speaker 1: all the people stuff on the way.

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Speaker 4: And if you miss a segment, you can get the podcast.

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Speaker 4: You look for Armstrong and Getty on demand and you

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Speaker 4: subscribe and you'll get the feed on a regular basis.

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Speaker 1: Oh and what AI system is doing best in the

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Speaker 1: NCAA tournament pools? Oh boy, yeah, and then personal significance

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Speaker 1: to me, I'll tell you about it.

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Speaker 2: To stay with us, Armstrong and Getty.

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Speaker 1: There are a couple of AI pieces of news we

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Speaker 1: wanted to share with you, but we thought we would

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Speaker 1: ease into it with Bill Maher's conversation with Tristan Harris.

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Speaker 1: Tristan is an activist in the field of not letting

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Speaker 1: AI ruin our lives and eat.

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Speaker 2: Our internal organs. Here's their discussion from the other night.

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Speaker 8: They ransom tests and the AI chooses nuclear war.

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Speaker 2: As an option.

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Speaker 8: That's right more than humans do right, more than humans.

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Speaker 8: Humans are better than machines in a lot of ways. Still,

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Speaker 8: they're programmed by humans. We've already seen how flawed they

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Speaker 8: are in so many ways.

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Speaker 2: And if they're in control of the nukes.

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Speaker 9: Since we last talked, they made AI more powerful. The

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Speaker 9: good news they were able to train it, so the

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Speaker 9: blackmail behavior goes down. The bad news is that it

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Speaker 9: appears to be the case. The AI is now self

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Speaker 9: aware of when it's being tested, and it modifies its

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Speaker 9: behavior to have different results. It even comes up with

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Speaker 9: the vocabulary of the watchers. It calls the humans the watchers.

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Speaker 9: It lies, it lies schemes. So the point is we

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Speaker 9: don't actually need to know more information about this.

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Speaker 2: This is actually scary.

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Speaker 1: Yeah, it may evolve in ways that I can't possibly anticipate,

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Speaker 1: but yeah.

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Speaker 2: As it sits now, that's scary as hell. The watchers

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Speaker 2: are watching. Wait a minute, you're a machine. What are

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Speaker 2: you doing?

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Speaker 4: Why does it care? That's the big question. But it

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Speaker 4: apparently does.

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Speaker 1: Self preservation, you know, the theme of a lot of

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Speaker 1: robot related science fiction through the years. Anyways, speaking of AI,

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Speaker 1: the what is the name of the publication I subscribe to?

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Speaker 1: It have for years the National Bureau of Economic Research.

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Speaker 1: It polled America's CFOs, your chief financial officers, who are

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Speaker 1: especially good to talk to because they are uniquely placed

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Speaker 1: to understand the inner workings of their companies as they

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Speaker 1: keep track of how much company resources are being deployed

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Speaker 1: and coming from and the rest of it. They're the

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Speaker 1: right people to ask about AI and displacing workers. And

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Speaker 1: the survey is back now, and they say that artificial

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Speaker 1: intelligence will push people some people out of their jobs,

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Speaker 1: primarily workers in routine, clerical and administrative roles. Workers with

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Speaker 1: highly skilled roles, such as architects and engineers, are more

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Speaker 1: likely to keep their jobs, especially if they can use

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Speaker 1: AI to their advantage. A new study found that so

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Speaker 1: far AI had essentially no employment effect in twenty twenty

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Speaker 1: five net UH, and that most expect AI will lead

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Speaker 1: their companies to trim only a small number of their

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Speaker 1: overall jobs this year too. We're at the beginning of

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Speaker 1: the beginning. Well, ilet's go ahead.

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Speaker 4: Listen to a Lex Friedman had the in Vidia CEO

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Speaker 4: on Hwang or however you say his name, the guy

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Speaker 4: that wears the cool leather jackets, you know, and you always,

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Speaker 4: you always point out that you got to take all

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Speaker 4: these AI giants or chip makers or whoever with grain

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Speaker 4: salt because they're you know, they're trying to pump up

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Speaker 4: their industry, of course, because they want people to invest

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Speaker 4: in it and be positive about it. But he he said,

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Speaker 4: there are no examples really out there or yet of

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Speaker 4: mass job destruction over AI, like has been project by

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Speaker 4: a lot of people in specific areas like software. He said,

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Speaker 4: there are more people writing software doing software development now

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Speaker 4: than there were before AI came along, and he explained

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Speaker 4: all the reasons that I didn't quite understand it, but

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Speaker 4: I assume the statistics hold up, and I don't know.

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Speaker 4: He was he was pretty positive on the idea that

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Speaker 4: there's just going to be different ways to do these jobs.

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Speaker 2: But here's here's here's.

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Speaker 4: His main point that I thought was so damned interesting.

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Speaker 4: And he said, intelligence is a commodity and we treat

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Speaker 4: it like it's the ultimate everything, and so AI is

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Speaker 4: going to be more intelligent than us, so that's going

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Speaker 4: to dominate us. He said, I'm surrounded by people at

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Speaker 4: my company that are all more intelligent than me. But

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Speaker 4: I'm in charge. I'm the guy in center, I'm the

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Speaker 4: guy that runs the thing. They're all smarter than me.

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Speaker 4: They all went to better colleges than me.

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Speaker 2: They all have.

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Speaker 4: More brain power than I do. There are other things

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Speaker 4: than in teen intelligence that matter that human beings have

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Speaker 4: that AI is not going to have. I thought that

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Speaker 4: was really interesting. Yeah, because we do look at AI

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Speaker 4: that think, okay, it's brain power is more so it's

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Speaker 4: going to be further ahead. Why is he the guy

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Speaker 4: that invented and runs in video and made it one

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Speaker 4: of the most successful companies in the history of the

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Speaker 4: world when he's surrounded by people that are much smarter

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Speaker 4: than now. There are other factors involved that we don't

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Speaker 4: completely understand. But some of it is just you know,

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Speaker 4: sticktuitiveness or various things that you can't quantify.

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Speaker 1: Really, Yeah, but intelligence's intelligence has been the one unreplicable

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Speaker 1: quality for all of human history. You know, computers are efficient,

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Speaker 1: but they are an intelligent per se.

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Speaker 2: They can store a lot of data.

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Speaker 1: When we replace human intelligence with machine intelligence, I think

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Speaker 1: it will be spectacularly disruptive. I see his point. It's

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Speaker 1: a thought provoking and he's right thought provoking point. But

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Speaker 1: how does that translate to the eight billion people on Earth?

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Speaker 4: I don't know, But how do you what is the

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Speaker 4: explanation though for what he said that, I assume it's

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Speaker 4: probably true. He said, I got sixty people that work

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Speaker 4: under me, all have a higher IQ and better education.

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Speaker 4: What is it about a certain person that makes them

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Speaker 4: the top dog?

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Speaker 1: Drive, emotional intelligence, charisma, Charisma, that's a good one.

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Speaker 2: Charisma is a big part of it. Yeah.

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Speaker 1: I don't have no idea where all this is going,

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Speaker 1: but one or two more quick points on the topic though,

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Speaker 1: and then I want to get to the AI system

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Speaker 1: that did best on the NCAA pools.

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Speaker 2: So far, the pattern so far.

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Speaker 1: Echoes what economists called skills biased technological change, the tendency

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Speaker 1: of some new technologies to hollow out routine work while

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Speaker 1: complimenting jobs held by more highly educated workers. So what

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Speaker 1: I was thinking when you were describing Nelson D. Wong's

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Speaker 1: thoughts is, yeah, but what about the unwashed masses? I mean,

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Speaker 1: the average IQ or the median IQ whatever it is. Is,

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Speaker 1: Like one hundred people who are eighty fives didn't choose

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Speaker 1: to be eighty fives. It wasn't lack of drive. They

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Speaker 1: just didn't get a great brain. And maybe they're not

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Speaker 1: very charismatic and they don't look very good. The only

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Speaker 1: thing they know how to do is to work hard

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Speaker 1: and do a task honestly. And if there's no need

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Speaker 1: for them, Nelson and all of his charisma and drive

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Speaker 1: and the rest of it isn't going to do them

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Speaker 1: diddly squat. When personal computers arrived started arriving in the

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Speaker 1: offices in the nineteen eighties, college educated employees such as

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Speaker 1: financial analysts, scientists, and consultants were able to do more work,

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Speaker 1: but jobs that entail doing more routine cognitive work, such

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Speaker 1: as typists and back office bookkeepers, roles that had once

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Speaker 1: promised a solid path to the middle class were no

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Speaker 1: longer so vital. They didn't disappear, but the share workers

440
00:23:50,040 --> 00:23:53,800
Speaker 1: doing those kinds of office support shrank. And that's going

441
00:23:53,880 --> 00:23:56,359
Speaker 1: to be the first thing that we see. Did you

442
00:23:56,720 --> 00:23:59,360
Speaker 1: was this your original thought or were you quoting somebody

443
00:23:59,640 --> 00:24:02,639
Speaker 1: that where we are with AI reminds you of like

444
00:24:02,720 --> 00:24:04,240
Speaker 1: the first week of COVID.

445
00:24:05,200 --> 00:24:09,360
Speaker 4: That was that was a very influential piece that came

446
00:24:09,400 --> 00:24:11,080
Speaker 4: out a couple of weeks ago that got everybody in

447
00:24:11,080 --> 00:24:13,000
Speaker 4: the AI world talking, Oh.

448
00:24:12,920 --> 00:24:14,159
Speaker 2: Is it that piece? Oh interesting?

449
00:24:14,359 --> 00:24:16,440
Speaker 1: I can't remember the dude's name, but yeah, that's great

450
00:24:16,440 --> 00:24:17,680
Speaker 1: metaphor great metaphor.

451
00:24:18,400 --> 00:24:21,600
Speaker 2: So anyway, I thought this was amusing and interesting, his.

452
00:24:21,600 --> 00:24:23,879
Speaker 4: Basic point being right at the very beginning of COVID,

453
00:24:23,880 --> 00:24:25,920
Speaker 4: we're all like, well, this is kind of crazy, isn't

454
00:24:26,240 --> 00:24:29,600
Speaker 4: Then everything got turned upside down in a way you'd

455
00:24:29,640 --> 00:24:31,800
Speaker 4: never seen in your life, and that's what's about to

456
00:24:31,840 --> 00:24:32,520
Speaker 4: happen with AI.

457
00:24:33,160 --> 00:24:37,040
Speaker 1: Yeah, much of it shouldn't have been, which is the

458
00:24:37,080 --> 00:24:40,359
Speaker 1: main thing that went crazy. A lot of people not

459
00:24:40,400 --> 00:24:44,080
Speaker 1: only allowed but encouraged horrific abuses of power.

460
00:24:44,160 --> 00:24:47,280
Speaker 4: Well, could imagine what kind of crazy government reactions we

461
00:24:47,400 --> 00:24:51,200
Speaker 4: might have if when the day hits that, all of

462
00:24:51,240 --> 00:24:54,399
Speaker 4: a sudden, you have week after week after week of

463
00:24:54,440 --> 00:24:57,480
Speaker 4: big companies laying off tens, hundreds of thousands of people,

464
00:24:57,800 --> 00:24:59,520
Speaker 4: and we end up, in a manner of a couple

465
00:24:59,520 --> 00:25:02,639
Speaker 4: of months, have millions of people out of work that

466
00:25:02,720 --> 00:25:06,080
Speaker 4: were gainfully employed before. You think the solutions aren't going

467
00:25:06,119 --> 00:25:08,040
Speaker 4: to be as wacky as a lot of the COVID

468
00:25:08,080 --> 00:25:14,399
Speaker 4: solutions were. Governments, Yeah, trying to appeal to an angry populace. Well, friends,

469
00:25:14,400 --> 00:25:16,000
Speaker 4: can you imagine if all of a sudden there was

470
00:25:16,359 --> 00:25:20,280
Speaker 4: fifteen percent unemployment, just fifteen.

471
00:25:19,880 --> 00:25:23,400
Speaker 2: Percent, not talking about fifty percent. Fifteen percent that would

472
00:25:23,440 --> 00:25:27,440
Speaker 2: be a cataclysm. It's foreigner the welfare state. Yeah yeah, yeah,

473
00:25:27,440 --> 00:25:29,240
Speaker 2: it's roughly four yeah.

474
00:25:29,280 --> 00:25:36,359
Speaker 4: So Wall Street Journal pitted Claude, Google's Gemini, and Chat

475
00:25:36,440 --> 00:25:41,000
Speaker 4: GPT against each other to fill out March Madness pools Well,

476
00:25:41,040 --> 00:25:42,320
Speaker 4: Groc doesn't like basketball.

477
00:25:44,480 --> 00:25:47,800
Speaker 1: Groc was watching the opera. It took exactly one game

478
00:25:47,840 --> 00:25:50,000
Speaker 1: of March Madness. They write for the world's most powerful

479
00:25:50,000 --> 00:25:52,919
Speaker 1: AI models to understand the distinctly human feeling of watching

480
00:25:53,040 --> 00:25:55,960
Speaker 1: their brackets go bust. But they were also about to

481
00:25:55,960 --> 00:25:58,040
Speaker 1: prove that they were already better than most humans at

482
00:25:58,080 --> 00:26:00,600
Speaker 1: making sense of a tournament known for being completely insane,

483
00:26:00,960 --> 00:26:05,920
Speaker 1: hence the moniker March Madness. This year's tournament played out

484
00:26:05,920 --> 00:26:08,600
Speaker 1: at a time when AI tools are smarter than ever.

485
00:26:10,400 --> 00:26:13,720
Speaker 1: These three models are always being judged against each other.

486
00:26:13,760 --> 00:26:18,119
Speaker 1: You left Grock out in everything from code to writing

487
00:26:18,119 --> 00:26:21,120
Speaker 1: to creative writing. We decided it's time to test their

488
00:26:21,160 --> 00:26:26,240
Speaker 1: intelligence with the bracket benchmark, so they secretly entered three

489
00:26:26,359 --> 00:26:28,959
Speaker 1: ringers into the Wall Street Journal office pool, Claude, Gemini,

490
00:26:28,960 --> 00:26:32,560
Speaker 1: and Chat GPT. After the first weekend of the tournament,

491
00:26:32,600 --> 00:26:37,000
Speaker 1: all three AI models can still win it. More than

492
00:26:37,119 --> 00:26:40,360
Speaker 1: half of the pool's brackets have already been mathematically eliminated,

493
00:26:40,560 --> 00:26:43,560
Speaker 1: but Claude has one of the highest win probabilities of

494
00:26:43,600 --> 00:26:44,359
Speaker 1: any entry.

495
00:26:45,680 --> 00:26:47,240
Speaker 2: It picked number.

496
00:26:46,920 --> 00:26:50,600
Speaker 1: Three seed Illinois to go all the way and all

497
00:26:50,600 --> 00:26:54,200
Speaker 1: of a sudden, I'm nervous as a alumni of Illinois

498
00:26:54,200 --> 00:26:55,919
Speaker 1: and a big fight in a line. I fan it

499
00:26:56,000 --> 00:26:59,240
Speaker 1: deviated from the pack in the other Aii models. Now,

500
00:26:59,240 --> 00:27:01,720
Speaker 1: with the fighting line win the NCAA tournament, Claude would

501
00:27:01,760 --> 00:27:03,160
Speaker 1: probably win the journal's pool.

502
00:27:05,119 --> 00:27:08,800
Speaker 4: I gotta believe It's just it randomly beat out the

503
00:27:08,840 --> 00:27:11,800
Speaker 4: other ones in the way that you know your own.

504
00:27:11,600 --> 00:27:12,439
Speaker 2: Office pool is.

505
00:27:14,000 --> 00:27:19,400
Speaker 1: So they ask Claude, why'd you pick this strategy? And

506
00:27:19,520 --> 00:27:24,320
Speaker 1: Claude said, this is the same logic that drives portfolio construction.

507
00:27:25,359 --> 00:27:28,520
Speaker 1: You want exposure to outcomes where you have an edge,

508
00:27:28,800 --> 00:27:32,399
Speaker 1: not where you're in a crowded trade. So it picked

509
00:27:32,400 --> 00:27:37,960
Speaker 1: Illinois as the most likely, less likely team to win

510
00:27:38,960 --> 00:27:41,440
Speaker 1: because that gave it an edge over everybody who had

511
00:27:41,480 --> 00:27:44,359
Speaker 1: picked you know, Rior and Duke.

512
00:27:44,200 --> 00:27:45,640
Speaker 2: And exactly Michigan.

513
00:27:45,760 --> 00:27:51,480
Speaker 1: Yeah, which is really interesting. So and this is where

514
00:27:51,600 --> 00:27:54,800
Speaker 1: again it's it reminds me of our economics discussion that

515
00:27:54,920 --> 00:27:57,159
Speaker 1: the first blush thing is not enough to know you

516
00:27:57,200 --> 00:27:58,840
Speaker 1: need to look behind it.

517
00:27:58,840 --> 00:28:01,640
Speaker 2: It didn't pick the most likely champion.

518
00:28:01,720 --> 00:28:04,280
Speaker 4: That makes sense. That makes sense. If you're gonna if

519
00:28:04,320 --> 00:28:07,000
Speaker 4: you're gonna have the big win, yeah, you gotta do that,

520
00:28:07,800 --> 00:28:11,000
Speaker 4: and you might have You might fail doing that, but

521
00:28:11,040 --> 00:28:13,639
Speaker 4: you're guaranteed, almost guaranteed to fail if you go with

522
00:28:13,680 --> 00:28:15,760
Speaker 4: the obvious choices, or you'll be one of many.

523
00:28:16,280 --> 00:28:20,080
Speaker 1: How interesting that is interesting breaking medical news Jack.

524
00:28:20,119 --> 00:28:20,719
Speaker 2: Two things.

525
00:28:22,040 --> 00:28:24,600
Speaker 1: Number One, my wife's doctor, who is also my doctor,

526
00:28:24,680 --> 00:28:30,879
Speaker 1: has confirmed that her sore throat, swollen glands, sniffles, et

527
00:28:30,960 --> 00:28:35,840
Speaker 1: cetera allergies. So yes, you can have swollen nodes and

528
00:28:35,880 --> 00:28:37,800
Speaker 1: sore throat. And if your allergies get bet and she

529
00:28:37,840 --> 00:28:41,160
Speaker 1: gets shots too, it's just crazy this time here. Second,

530
00:28:41,320 --> 00:28:44,560
Speaker 1: somewhat medical news is from our friends at rough Greens.

531
00:28:44,600 --> 00:28:48,120
Speaker 1: They're all about your beloved dog staying active, mobile and

532
00:28:48,160 --> 00:28:51,640
Speaker 1: alert as they age, and rough Greens supplements their diet

533
00:28:51,680 --> 00:28:55,280
Speaker 1: with natural antioxidants and anti inflammatory compounds that help reduce

534
00:28:55,320 --> 00:28:57,920
Speaker 1: oxidative stress. I've read a lot about that support immune

535
00:28:57,960 --> 00:29:00,120
Speaker 1: defense and slow age related decline.

536
00:29:00,560 --> 00:29:03,120
Speaker 4: So no, in case you haven't caught onto this yet,

537
00:29:03,320 --> 00:29:05,840
Speaker 4: they're not suggesting you change your dog's food because as

538
00:29:05,880 --> 00:29:07,360
Speaker 4: you know, that's kind of a big deal and it

539
00:29:07,400 --> 00:29:09,800
Speaker 4: causes all kinds of digestive problems, and they might like

540
00:29:09,800 --> 00:29:12,920
Speaker 4: their food currently you stick some of those like super.

541
00:29:12,560 --> 00:29:14,440
Speaker 2: Cool foods are crazy expensive.

542
00:29:15,000 --> 00:29:19,000
Speaker 4: You just add Roughgreeds to the food your dog already likes.

543
00:29:19,040 --> 00:29:20,760
Speaker 4: You just add rough Greens and right now you can

544
00:29:20,760 --> 00:29:23,080
Speaker 4: get a free Jumpstart trial bag. All you do is

545
00:29:23,080 --> 00:29:25,920
Speaker 4: cover the shipping. Use the discount code Armstrong to claim

546
00:29:26,000 --> 00:29:28,640
Speaker 4: your free Jumpstart Trial bag at Roughgreens dot com.

547
00:29:28,640 --> 00:29:31,640
Speaker 1: That's spelled are you f F. Roughgreens is not a

548
00:29:31,680 --> 00:29:34,320
Speaker 1: dog food. It's a live nutritional supplement you add to

549
00:29:34,320 --> 00:29:37,920
Speaker 1: your dog's food. As Jack was explaining, areu ffgreens dot

550
00:29:37,960 --> 00:29:41,400
Speaker 1: com Roughgreens dot Com, use the promo code Armstrong. Don't

551
00:29:41,440 --> 00:29:43,480
Speaker 1: change your dog's food, Just add rough Greens and watch

552
00:29:43,520 --> 00:29:44,880
Speaker 1: the health benefits come alive.

553
00:29:45,160 --> 00:29:45,520
Speaker 2: Wolf.

554
00:29:46,040 --> 00:29:47,720
Speaker 4: So I went to the doctor to get checked for

555
00:29:47,880 --> 00:29:50,000
Speaker 4: STRAP when I had my sore throat last week, and

556
00:29:50,040 --> 00:29:50,720
Speaker 4: I didn't have STRIP.

557
00:29:50,800 --> 00:29:52,440
Speaker 2: So I got this.

558
00:29:52,480 --> 00:29:56,160
Speaker 4: Other thing that's going around northern California most likely. And

559
00:29:56,200 --> 00:29:58,120
Speaker 4: then so my son was a couple of days ahead

560
00:29:58,120 --> 00:30:00,280
Speaker 4: of me, and it had the pattern of sort. Wrote

561
00:30:00,280 --> 00:30:02,160
Speaker 4: then the sore throat came away, and then the runny

562
00:30:02,160 --> 00:30:02,680
Speaker 4: nose came.

563
00:30:02,560 --> 00:30:03,320
Speaker 2: And blah blah blah.

564
00:30:03,400 --> 00:30:05,239
Speaker 4: Anyway, I thought it was interesting though. When I went

565
00:30:05,280 --> 00:30:08,840
Speaker 4: into the doctor, they never checked me for COVID at all,

566
00:30:09,040 --> 00:30:10,360
Speaker 4: even though there's COVID around.

567
00:30:10,880 --> 00:30:14,400
Speaker 2: Why don't they do that? Is it expense? Is it

568
00:30:14,480 --> 00:30:15,080
Speaker 2: just not worth?

569
00:30:15,120 --> 00:30:19,360
Speaker 1: It doesn't matter, doesn't matter what is COVID at this

570
00:30:19,440 --> 00:30:22,600
Speaker 1: point unless you're an eighty eight year old on a ventilator.

571
00:30:23,400 --> 00:30:24,360
Speaker 2: I don't be no bigger.

572
00:30:24,440 --> 00:30:26,920
Speaker 1: I don't know, which probably answers the question. It's of

573
00:30:27,000 --> 00:30:28,280
Speaker 1: no more significance than a cold.

574
00:30:28,400 --> 00:30:30,240
Speaker 4: But the doctor asked me if I didn't dune a

575
00:30:30,280 --> 00:30:30,840
Speaker 4: COVID test.

576
00:30:30,880 --> 00:30:31,400
Speaker 2: I said no.

577
00:30:32,000 --> 00:30:33,720
Speaker 4: And then I've had a number of people saying do

578
00:30:33,760 --> 00:30:35,280
Speaker 4: you think it's COVID? And I said, well, it might be,

579
00:30:35,320 --> 00:30:37,040
Speaker 4: but I haven't checked, and the doctor didn't check.

580
00:30:37,680 --> 00:30:38,120
Speaker 2: Yeah.

581
00:30:38,320 --> 00:30:40,560
Speaker 1: Yeah, and don't take my word for it. By the way,

582
00:30:40,600 --> 00:30:42,880
Speaker 1: about COVID, I really have no idea. But I think

583
00:30:42,920 --> 00:30:45,800
Speaker 1: the question kind of answered it self, doesn't it. Who

584
00:30:45,800 --> 00:30:47,560
Speaker 1: in your life is mentioned, Oh my god, I had

585
00:30:47,560 --> 00:30:50,280
Speaker 1: COVID and or my aunt just died or whatever.

586
00:30:51,040 --> 00:30:54,720
Speaker 4: Washington, DC's version of the California Bullet Train was a

587
00:30:56,000 --> 00:30:58,960
Speaker 4: was a slightly different but same result. We also got

588
00:30:58,960 --> 00:31:01,920
Speaker 4: reparations in same Francisco, which is an interesting story. We're

589
00:31:01,960 --> 00:31:04,880
Speaker 4: going to talk dumb government programs when we come back,

590
00:31:04,920 --> 00:31:12,840
Speaker 4: Stay tuned stupid government programs. I guess that'll be our

591
00:31:12,920 --> 00:31:14,360
Speaker 4: theme right here. It's off on a theme on the

592
00:31:14,440 --> 00:31:18,200
Speaker 4: Armstrong and Getty Show. You know, nobody else, not enough

593
00:31:18,200 --> 00:31:21,320
Speaker 4: other places point out how your tax money is wasted.

594
00:31:21,560 --> 00:31:22,800
Speaker 2: This is in Washington, d C.

595
00:31:23,040 --> 00:31:28,360
Speaker 4: This is the final week of a streetcar that they

596
00:31:28,400 --> 00:31:30,880
Speaker 4: got going in two thousand and two, so lasted about

597
00:31:30,880 --> 00:31:33,720
Speaker 4: a quarter of a century. The DC street Car's final

598
00:31:33,760 --> 00:31:36,120
Speaker 4: week of services upon us. It was born in a

599
00:31:36,160 --> 00:31:39,240
Speaker 4: two thousand and two feasibility study. This sounds a lot

600
00:31:39,280 --> 00:31:40,960
Speaker 4: like the bullet train. It's a mini version of the

601
00:31:40,960 --> 00:31:45,240
Speaker 4: California Bullet Train. It promised a thirty three mile network.

602
00:31:45,600 --> 00:31:47,440
Speaker 4: After a quarter of century, it never got more than

603
00:31:47,480 --> 00:31:50,480
Speaker 4: two point two miles ever, built with no fare collection.

604
00:31:50,920 --> 00:31:53,080
Speaker 4: It's not being replaced by a bus that can do

605
00:31:53,120 --> 00:31:56,520
Speaker 4: the same thing for basically no cost other than I mean,

606
00:31:56,480 --> 00:31:59,600
Speaker 4: because the buses already exist. Two hundred million dollars spent

607
00:31:59,680 --> 00:32:03,640
Speaker 4: over that quarter century to do basically absolutely nothing.

608
00:32:04,400 --> 00:32:08,880
Speaker 2: Somebody got that money. Damn right they did.

609
00:32:09,440 --> 00:32:14,320
Speaker 4: And we've been talking about the reparations in San Francisco

610
00:32:14,400 --> 00:32:17,320
Speaker 4: for quite a while. And the funny thing on that

611
00:32:17,480 --> 00:32:19,720
Speaker 4: is that nobody wants to be the person to shut

612
00:32:19,720 --> 00:32:22,120
Speaker 4: it down because politically it would look back to look

613
00:32:22,160 --> 00:32:24,000
Speaker 4: bad to say we can't do this, we don't have

614
00:32:24,040 --> 00:32:24,720
Speaker 4: the money for this.

615
00:32:24,840 --> 00:32:25,280
Speaker 2: Or what.

616
00:32:25,440 --> 00:32:28,560
Speaker 4: Reparations in San Francisco make less sense than in Alabama,

617
00:32:28,600 --> 00:32:32,200
Speaker 4: and it doesn't even really make sense there anyway. It

618
00:32:32,280 --> 00:32:35,600
Speaker 4: was signed by Mayor Daniel Lurie late last year. It's

619
00:32:35,600 --> 00:32:41,720
Speaker 4: supposed to correct historic ills, and the our friends over

620
00:32:41,760 --> 00:32:46,040
Speaker 4: at Pacific Legal Foundation are suing saying it's unconstitutional. The

621
00:32:46,240 --> 00:32:49,160
Speaker 4: reparations fund, which a group of city residents in the

622
00:32:49,160 --> 00:32:52,840
Speaker 4: Californians for Equal Rights Foundation, is challenged in court. Under

623
00:32:52,840 --> 00:32:55,520
Speaker 4: the reparation's plan, we've told you about this many times,

624
00:32:55,840 --> 00:32:59,760
Speaker 4: eligible individuals could receive as much as a five million

625
00:33:00,720 --> 00:33:05,160
Speaker 4: lump sum payment per individual annual.

626
00:33:05,320 --> 00:33:09,480
Speaker 1: You are currently a slave, I could see five million

627
00:33:09,520 --> 00:33:11,680
Speaker 1: dollars maybe.

628
00:33:12,360 --> 00:33:16,360
Speaker 4: Annual income supplements for two hundred and fifty years.

629
00:33:17,480 --> 00:33:19,480
Speaker 2: It's because it's your general to enjoy them.

630
00:33:19,720 --> 00:33:22,280
Speaker 4: It's your generation and all the generations going forward to

631
00:33:22,320 --> 00:33:24,240
Speaker 4: make up for the previous two hundred and fifty years.

632
00:33:24,240 --> 00:33:29,040
Speaker 4: I guess forgiveness of all personal and educational debt. So

633
00:33:29,240 --> 00:33:31,400
Speaker 4: any debt you've racked up in your life, whether it's

634
00:33:31,400 --> 00:33:34,280
Speaker 4: just your credit card or not signed the car dealer,

635
00:33:35,960 --> 00:33:41,080
Speaker 4: guaranteed city back insurance, property tax exemptance, exemptions, and preferential

636
00:33:41,160 --> 00:33:43,800
Speaker 4: treatment in city contracts, and employment.

637
00:33:45,520 --> 00:33:49,160
Speaker 2: Why don't you need to qualify? What's that? Why would

638
00:33:49,200 --> 00:33:51,720
Speaker 2: you need a job? You don't need employment.

639
00:33:52,200 --> 00:33:57,120
Speaker 4: The eligibility criteria requires applicants to be African American descendants

640
00:33:57,120 --> 00:34:02,560
Speaker 4: of enslaved people, or have identified as black for at

641
00:34:02,640 --> 00:34:04,000
Speaker 4: least ten years.

642
00:34:07,040 --> 00:34:08,120
Speaker 2: I thought that was hilarious.

643
00:34:08,239 --> 00:34:09,879
Speaker 4: So the first one, boy, that's gonna be a little

644
00:34:09,880 --> 00:34:12,560
Speaker 4: difficult for me to prove that. Or I just need.

645
00:34:12,320 --> 00:34:16,040
Speaker 2: To be black for the last decade. It is impossible

646
00:34:16,200 --> 00:34:17,760
Speaker 2: to parody this stuff.

647
00:34:18,040 --> 00:34:21,319
Speaker 4: That's the threshold for qualifying for five million dollars, two

648
00:34:21,400 --> 00:34:24,160
Speaker 4: hundred and fifty years of payments, all of your debts

649
00:34:24,200 --> 00:34:26,240
Speaker 4: wiped free, et cetera, et cetera, et cetera.

650
00:34:26,280 --> 00:34:28,680
Speaker 1: Well, all right, I'm going on the record, I identify

651
00:34:28,680 --> 00:34:31,320
Speaker 1: as black. I don't live in San Francisco, but I

652
00:34:31,360 --> 00:34:34,280
Speaker 1: don't know. Maybe I'll move there. Somebody marked the calendar Tuesday,

653
00:34:34,280 --> 00:34:37,080
Speaker 1: March twenty fourth, the year twenty twenty six, Joe began

654
00:34:37,160 --> 00:34:38,600
Speaker 1: identifying as black.

655
00:34:42,719 --> 00:34:44,799
Speaker 4: And nobody is willing to raise their hands say none

656
00:34:44,840 --> 00:34:46,839
Speaker 4: of this is actually gonna happen. We all know this, right,

657
00:34:47,320 --> 00:34:49,000
Speaker 4: It's just this is there's no way we would have

658
00:34:49,120 --> 00:34:50,799
Speaker 4: enough money and it couldn't get through the cords, and

659
00:34:50,920 --> 00:34:51,960
Speaker 4: blah blah blah.

660
00:34:52,200 --> 00:34:54,840
Speaker 1: Isn't this all just an exercise and not wanting to

661
00:34:54,920 --> 00:34:55,200
Speaker 1: end it?

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00:34:55,280 --> 00:34:57,200
Speaker 2: As you pointed out, yes, the clear less.

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00:34:57,440 --> 00:35:00,799
Speaker 1: Oh you know, maybe maybe we get into this next hour.

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00:35:00,840 --> 00:35:02,920
Speaker 1: I don't know, we'll have to have a meeting about it.

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00:35:03,880 --> 00:35:07,400
Speaker 1: The slavery story you won't learn in school. There is

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00:35:07,440 --> 00:35:09,759
Speaker 1: a new book out that's getting ignored by the left,

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00:35:09,800 --> 00:35:13,360
Speaker 1: as you might expect, but Captives and Companions, a History

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00:35:13,360 --> 00:35:16,200
Speaker 1: of slavery and the slave trade in the Islamic World,

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00:35:16,600 --> 00:35:22,720
Speaker 1: oh by Justin Morazi, and it's very thorough, interesting history.

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00:35:22,760 --> 00:35:26,600
Speaker 1: It's super interesting, but it kind of hurts the narrative.

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00:35:26,800 --> 00:35:28,480
Speaker 2: So maybe we won't write about it.

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00:35:28,560 --> 00:35:30,640
Speaker 4: So if you don't get our four where we're going

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00:35:30,719 --> 00:35:33,120
Speaker 4: to talk about that, you can find the podcast Armstrong

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00:35:33,160 --> 00:35:35,120
Speaker 4: and Getty on demand. We do twenty hours of this

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00:35:35,160 --> 00:35:36,480
Speaker 4: every single week, which seems.

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00:35:36,239 --> 00:35:36,600
Speaker 2: Like a lot.

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00:35:37,400 --> 00:35:39,919
Speaker 1: Why And if you subscribe it auto downloads you don't

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00:35:39,960 --> 00:35:43,400
Speaker 1: have to go any trouble in one episode feeds right

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00:35:43,440 --> 00:35:45,520
Speaker 1: after the other. Good lord, it's a great time to

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00:35:45,520 --> 00:35:47,360
Speaker 1: be alive. Armstrong and Getty on demand.

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00:35:49,320 --> 00:35:50,480
Speaker 2: Armstrong and Getty