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Speaker 1: Man, like, what why do we have you?

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Speaker 2: You're such an esteemed guest man?

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Speaker 1: What are you doing here? I'm just here for a

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Speaker 1: good time.

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Speaker 2: Oh man, we love that, we love that, we love that,

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Speaker 2: we love that. Awesome.

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Speaker 1: Well, we're thrilled to have you. Thanks for doing that.

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Speaker 3: Yeah, no, pleasure, a pleasure. I'm super I'm actually super happy.

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Speaker 1: That's help.

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Speaker 3: Put me onto you all, okay, fresh air.

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Speaker 2: Yeah, you're just that man. You don't got so you

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Speaker 2: have to.

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Speaker 1: You have to convince us before we start recording you're

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Speaker 1: worthy of having you on. I believe in you.

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Speaker 2: What weird?

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Speaker 1: What weird energy to bring?

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Speaker 2: Boy hosts?

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Speaker 1: You don't even care? Man yourself?

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Speaker 2: Okay, you mean it.

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Speaker 1: It's like act three of a Mighty Duck movie, right

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Speaker 1: right right, that's where we start. Gott it. We started

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Speaker 1: act three.

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Speaker 2: He just has to learn how to stop on skates

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Speaker 2: and he'll put it all together because this guy is

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Speaker 2: all go.

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Speaker 1: No breaks. Come on, it's knuckle punk time. Hello the Internet,

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Speaker 1: and welcome to season three ninety six, Episode four of

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Speaker 1: Daily Zai Guys. This is a production by Heart Radio.

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Speaker 1: It's a podcast where we take a deep dave into

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Speaker 1: America's share consciousness and it is Thursday, July tenth, twenty

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Speaker 1: twenty five. Get your get your slurpy drinking straws. Already

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Speaker 1: you already know what day it is. It's July tenth,

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Speaker 1: twenty twenty five.

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Speaker 2: If you're checking in, It's Chronic Disease Day, National Peni

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Speaker 2: Colata Day, National Kitten Day, and National.

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Speaker 1: Clara Hugh Day.

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Speaker 2: Who's Edmund Clara Hugh Bentley.

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Speaker 1: I don't know. I don't miles. I don't like it.

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Speaker 2: It celebrates up not oh, this sounds like white people. Haikup.

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Speaker 1: It's like what there?

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Speaker 2: It's as what I said. On July tenth. Each year,

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Speaker 2: National Claire Hue Day in the United States celebrates a

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Speaker 2: poem style created by Edmund Claire Hugh Bettley. His four

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Speaker 2: line biographical poem offers a brief the whimsical approach to poetry.

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Speaker 1: Okay, it's like one syllable off from the high coup

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Speaker 1: and he's like'vent to that shit? This is so bad?

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Speaker 2: Okay? Is these are your five Claire? You must have

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Speaker 2: four lines rhyming couplets of AA, B B, a person's

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Speaker 2: name in the first line, something said about that person,

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Speaker 2: and humor. Because Claire Hugh poems are meant to be

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Speaker 2: a funny poem.

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Speaker 1: Claire Hugh was my favorite humorist, my favorite Canadian who,

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Speaker 1: my favorite comedian.

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Speaker 2: William He had a magneto tattoo on his back.

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Speaker 1: Hey, okay, his favorite show. Wait now, I'm fucked up,

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Speaker 1: worked on this trying something and I feel like that

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Speaker 1: was more limericks.

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Speaker 2: I would fuck it, I think, is how I would

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Speaker 2: end it? Is that how I end?

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Speaker 1: Yeah? Yeah? The ones of magneto tattoo. You didn't say

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Speaker 1: where it is on my back tramp stamp of Jason. Uh,

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Speaker 1: my name's Jack O'Brien aka can it be that it

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Speaker 1: was all so dimples? Then? That one courtesy of archcam

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Speaker 1: Cam on the discord in reference to uh, my first

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Speaker 1: nickname from my aunts. After my cousins would say Jackie,

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Speaker 1: you're steal into Joels. My aunts would come up and

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Speaker 1: pinch my cheeks and call me dimples. So that's a

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Speaker 1: little bit about myself when you put that in your

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Speaker 1: fucking couplet, May cl Clara Hugh, Pat Donahue, Pat Donahue

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Speaker 1: take down shit. I'm thrilled to be joined as always

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Speaker 1: by my co host mister Miles Grass Miles Gray.

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Speaker 2: Kay BBS seems going good. Oh seems like a sudden stinct.

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Speaker 2: Oh maybe this fat was already old when I get

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Speaker 2: it injectoed.

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Speaker 1: Maybe it drowned.

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Speaker 2: Fuck is that mold?

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Speaker 1: What if it? Please?

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Speaker 2: Holy hell no, he's not me. I need light bo

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Speaker 2: it's so grotesque. Trendo. Okay, shout out housey on Salad

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Speaker 2: for that Espresso related to BBL stink stink.

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Speaker 1: Yeah. Yeah, that's a good one, well done, like one

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Speaker 1: of our one of our favorite songs, one of our

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Speaker 1: greatest artists.

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Speaker 2: Health do you remember remember like when Espresso came out

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Speaker 2: and Molly Lambert was like, dude, you know, like like

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Speaker 2: this is right when it came out and Molly was

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Speaker 2: like casually brought it up.

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Speaker 1: She was like, overrated Espresso. I'm like tired of hearing

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Speaker 1: it everywhere. And we were like, yeah, yeah, Google Google Google,

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Speaker 1: just to hear us frantically Google. I'm working, lady, I'm

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Speaker 1: listening to Weird now with my kids. All right, that's

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Speaker 1: what I'll be over here listening to weirdol Miles, We're

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Speaker 1: thrilled to be joined in their third seat. Every once

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Speaker 1: in a while, we have a Billy Joel piano man

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Speaker 1: guest as in I have to ask them, man, what

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Speaker 1: are you doing here? This is an American science fiction

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Speaker 1: and fantasy writer, a former civil rights lawyer. His twenty

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Speaker 1: twenty novella Riot Baby won the Alex Award and the

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Speaker 1: World Fantasy Award. He's written comics for Marvel, written for

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Speaker 1: the Call of Duty game. Please welcome the brilliantly talented,

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Speaker 1: acclaimed Oh toci o, yay bocie. Thank you for having me.

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Speaker 1: What's going on? What are you doing to not complain?

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Speaker 3: You know, It's it's one of those things whenever that

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Speaker 3: question gets asked where it's like my immediate circle of

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Speaker 3: like family and friends, like we're eating, we're good, right,

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Speaker 3: and then everything immediately out of that in flames just

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Speaker 3: bad out there.

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Speaker 2: Yeah. Well, hey, I'm sure your love of sci fi

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Speaker 2: and dystopian futures hasn't fueled your imagination.

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Speaker 1: It keeps you pretty good.

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Speaker 3: It's like, you know, I'm just waiting for one of

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Speaker 3: these in dweeds to like name their their world ending

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Speaker 3: corporation after something in one of my books that was

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Speaker 3: about a world ending corporation.

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Speaker 2: Right right, that was obviously the point. Yeah, yeah, I

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Speaker 2: mean there is this new guy Miles Dyson that has

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Speaker 2: just entered the administration with he's got some theories of audiation. Yeah,

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Speaker 2: but he talks like here, but he's like, right, I'm

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Speaker 2: sure he must right, yeah, you must say Miles Dyson.

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Speaker 1: That was always I was like, that's me.

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Speaker 2: I'm Miles.

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Speaker 1: That's a tough one. Man. Is the end of the

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Speaker 1: world famous sci fi work of our childhood.

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Speaker 2: But you know what, he was killing it, man, he

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Speaker 2: was killing things.

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Speaker 1: I mean it's like last breath, like last Breath in

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Speaker 1: Terminator two. I can't great performance.

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Speaker 2: Oh yeah, that actor, I mean, Joe Morton, absolute fucking legends.

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Speaker 1: Yeah. Well, Tochi, We're thrilled to have you here. We're

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Speaker 1: gonna get to know you a little bit better in

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Speaker 1: a moment. First, we're gonna tell the listeners a couple

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Speaker 1: of the things we're talking about. We're talking about medicaid

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Speaker 1: being cut h and just like, what's the endgame here

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Speaker 1: with all with all this, they cut medicaid. Jd Vance's

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Speaker 1: explanation was, guys, yeah, okay, so there's gonna be like

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Speaker 1: a few cuts, a little you know, tinkering here and there,

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Speaker 1: but it's all gonna be worth it because we're funding

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Speaker 1: ice to get rid of illegal immigrants, and they're are

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Speaker 1: the ones who are costing you all the money, so

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Speaker 1: we're actually saving money. And it turns out we've crunched

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Speaker 1: the numbers on that and that's a complete bullshit. And

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Speaker 1: also other people who know how to crunch the numbers

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Speaker 1: have also crunched the numbers. It's not just us, and

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Speaker 1: they also think it's bullshit. So we're just gonna what's

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Speaker 1: this all gonna look like? What's the endgame here? Guys?

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Speaker 1: What's the future look like? Thank god we have exactly

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Speaker 1: Thank god we have a sci fi right to tell

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Speaker 1: you the new agricultural policy. Play the tape forward, see

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Speaker 1: how that's going. Something that completely divorced from the world

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Speaker 1: of of science fiction. We have somebody writing about how

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Speaker 1: he's raising his kids with AI just good parenting, like

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Speaker 1: he's like hitting all these things that are like, yeah,

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Speaker 1: that's when parenting gets like hard, and also like when

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Speaker 1: you push through the difficult part, it's like really fun,

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Speaker 1: you know, like it's a challenge that AI time.

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Speaker 2: I don't know why there's poor people's son asked, why

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Speaker 2: does God allow human suffering?

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Speaker 1: I mean, you know, you're over your limit of questions

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Speaker 1: A limited questions he's giving his kids. I'll give them

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Speaker 1: two three questions at bedtime and then I turn it

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Speaker 1: over to AI. Anyways, we'll talk about that. This is

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Speaker 1: in the same periodical that gave us one of our

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Speaker 1: favorite articles recently. Yeah, my name's Chad, and I what

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Speaker 1: discrimination is because I'm a white guy named Chad. And

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Speaker 1: that's difficult somehow because they think I'm like cool.

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Speaker 2: Every time I pull up, it's really fucked up and oppressive,

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Speaker 2: Like why can't I just be Chad in the Patagonia vest.

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Speaker 1: Yeah, and they know and they they hear my name

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Speaker 1: is Chad and they already know I'm wearing a patagon

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Speaker 1: But before we get to that toci, we do like

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Speaker 1: to ask our guests, what is something from your search

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Speaker 1: history that's revealing about who you are.

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Speaker 3: I recently googled Anna coreno word count, uh huh. That

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Speaker 3: should basically tell you everything that you'd be to know

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Speaker 3: about me. Great book, great, like I highly I highly recommend.

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Speaker 3: I know, like reading's not really in vogue these days,

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Speaker 3: but fantastic, fantastic, freaking book.

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Speaker 1: One of the greats. I've been told and I have

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Speaker 1: not read that, and I am trying to get back

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Speaker 1: into reading. So maybe maybe I'm putting that on my list,

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Speaker 1: assuming the word count is somewhere south of seven hundred

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Speaker 1: and fifty.

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Speaker 3: Yeah, it's pretty pretty far south of that, you know,

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Speaker 3: it's it's hefty though, it's hefty.

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Speaker 1: It's a thick one. What were you doing that? Because

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Speaker 1: you you feel like that's where you're landing with something

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Speaker 1: you're working on or.

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Speaker 3: What just curiosity, you know, I like to sometimes I

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Speaker 3: get very like mechanical and obsessive about things like that

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Speaker 3: related to books, like word counts and stuff like that,

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Speaker 3: sometimes to not necessarily give myself a target to reach,

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Speaker 3: but just to you know, yeah, yeah, exactly exactly, it

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Speaker 3: doesn't hurt to know.

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Speaker 4: Yeah.

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Speaker 1: Yeah, So it's we're in the three hundred and fifty

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Speaker 1: thousand range. Yeah, it looks like, yeah, I'm looking for

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Speaker 1: three hundred and fifty words. Any any works that you

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Speaker 1: I have been enjoying because of my shitty attentions, man,

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Speaker 1: I have been talking on the podcast about enjoying poetry,

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Speaker 1: poetry fewer words, yeah, some pretty great effect. Oh yeah, yeah,

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Speaker 1: I just yeah, have you heard anything I've heard? Tell

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Speaker 1: this mysterious serious art form.

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Speaker 2: I'm going to look up how many words in the

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Speaker 2: Jim Lee X Men number one? Yes, that's that's about

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Speaker 2: where I tap out. Because also the covers were big posters,

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Speaker 2: so that they were poolside in the back cover. It's

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Speaker 2: really cool.

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Speaker 1: What is something you think is underrated?

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Speaker 3: Shirley Temple? Temple, that's my go to drink. Absolutely, you

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Speaker 3: keep grennedin and oh yeah, like that's the first if

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Speaker 3: I'm in an establishment, that's the first thing I asked,

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Speaker 3: you have any greedy do.

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Speaker 2: You keep in this fine establishing?

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Speaker 1: You don't have no grenadine in your Like, yeah.

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Speaker 3: Exactly, that's that's uh. You know they're wildly underrated, right.

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Speaker 1: I have in ordered to Shirley Temple in a long time?

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Speaker 1: Is it a pretty like what do you hit? What

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Speaker 1: are you batting about? Like fifty to fifty on dining

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Speaker 1: establishments with grenadine? Or is it? Do most of them

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Speaker 1: have it?

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Speaker 3: Most of them that I've been to have it. Maybe

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Speaker 3: I've just gotten lucky that you can also be the trick.

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Speaker 3: But yeah, you get it, and you get the you

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Speaker 3: get that Merichino cherry, right, that's how you know they're

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Speaker 3: taking care of you.

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Speaker 1: Oh yeah, and you do you tie the stem and

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Speaker 1: not with your tongue because I do that. Are you

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Speaker 1: able to do it? You can do it? I am

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Speaker 1: able to do that.

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Speaker 2: I can't.

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Speaker 3: It was that like your fun fact on the dating apps.

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Speaker 2: I it was kicked off of dating.

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Speaker 1: Actually put that on my resume.

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Speaker 2: I'm like, dude, I'm hitting you up for a job,

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Speaker 2: and like, why are you going to meet your resume

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Speaker 2: right now?

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Speaker 1: You just wanted you to see that team you're about

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Speaker 1: to join them.

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Speaker 3: Yeah, it's like Microsoft word Microsoft Excel tongue time.

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Speaker 2: Cherries takes me a while, though, you know, yeah, you know.

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Speaker 2: I had a cousin showed me that trick and then

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Speaker 2: what I did. I remember doing this on a date.

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Speaker 2: I snagged the excell one, I pre tied it and

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Speaker 2: I put in my mouth and I went like this,

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Speaker 2: But then I had to go for so long with

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Speaker 2: the other stem in my mouth because I didn't want

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Speaker 2: to be like like I was like across from this

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Speaker 2: person the whole time. Yeah that I just ended up

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Speaker 2: like kind of chewing it and just like eating it.

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Speaker 2: And I was like this is not worth the last

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Speaker 2: because it was hidden.

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Speaker 1: Yeah.

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Speaker 2: Yeah, because I had that ship stage and I said,

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Speaker 2: oh watch this trick. First of all, my date so

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Speaker 2: unimpressed that I immediately was like, this was such a

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Speaker 2: fucking l dude, what are you fucking what have you

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Speaker 2: gotten yourself into?

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Speaker 1: I think it was impressive. It's like mainly impressive to

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Speaker 1: like twelve year old boys. That's when I worked really

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Speaker 1: hard to get good enough to do it.

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Speaker 2: And oh so you put your ten thousand hours.

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Speaker 1: I put my literally in here. Yeah, but yeah, I

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Speaker 1: do love a Shirley Temple. And then the Cola equivalent

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Speaker 1: where you put Roger darth Vader, some not Darth Vader.

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Speaker 1: Someone called it a darth Vade regional. I think when

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Speaker 1: I was in in Dayton, Ohio, we call it darth Vaders.

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Speaker 1: That's kind of we were trying to make them because

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Speaker 1: we didn't give a fuck about Roy Rogers. I'm not

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Speaker 1: gonna lie. Let me Shirley Temple for the lady and me. Yeah,

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Speaker 1: I'll have a Darth Vader.

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Speaker 2: Yeah, actually make that a double vade. Called that a

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Speaker 2: darth ball, dude, let me get a darth on that.

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Speaker 1: Darl is the double do dark, three fingers, the fingers granite,

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Speaker 1: three fingers of Dean and the splash of cola on.

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Speaker 1: Let me.

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Speaker 2: Yeah, let me get a straight grenade bro.

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Speaker 1: Ship hold the Dean. I am just I am realizing

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Speaker 1: also that that is still my freestyle machine order. Is

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Speaker 1: the coke zero with the cherry sauce?

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Speaker 2: Oh right, right right, yeah, but that's like a cherry

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Speaker 2: coke though, versus a stray vader, you know what I mean?

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Speaker 1: Yeah, yeah, it is just like they have some bright

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Speaker 1: red syrup that's going in. Oh yeah, it's definitely not grenadine,

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Speaker 1: but that ship is like unnatural, like redder than code red. Yeah.

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Speaker 2: Yeah, it will stain black jeans radioactive.

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Speaker 3: Yeah, you drink enough of that, you're going to turn

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Speaker 3: into a ninja turtle. That's really well that turns out.

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Speaker 2: Don't tell forty year old meet that right for god years?

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Speaker 1: I need that OOZ that could I get that with

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Speaker 1: the side of ooz? What's that?

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Speaker 2: Uzzo?

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Speaker 1: Just a shot of Uzzo tells you what's something he

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Speaker 1: thinks overrated?

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Speaker 3: Graphical fidelity in video games? Oh boy, yeah no, we don't.

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Speaker 3: Oh like if you if you shelled out for a

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Speaker 3: PS five Pro, there's there's nothing you can talk about.

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Speaker 3: There's like there I don't you there's I know that

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Speaker 3: there's nothing you can say to me, that'll be worth

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Speaker 3: listening to.

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Speaker 2: Sure, sure, sure, I think unless you were, like you

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Speaker 2: have to be this close to your TV for you

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Speaker 2: to be able to perceive that, like as.

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Speaker 1: Somebody's standing really close to his team, you got to

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Speaker 1: be for the listeners because it was really worth it.

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Speaker 3: It was really worth it for that one blade of

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Speaker 3: grass that I got to see over in the distance,

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Speaker 3: this area that's fenced off to me anyway, like get

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Speaker 3: that get that ship out. Because also too, like video

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Speaker 3: games now costs like three hundred four hundred million dollars

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Speaker 3: to develop, They take like ten years. It's you know,

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Speaker 3: we don't it's unsustainable. It's unsustainable.

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Speaker 1: Like is there a thriving indie game scene where like

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Speaker 1: it's just they're like making sixteen bit or what you know,

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Speaker 1: stuff like that.

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Speaker 3: Oh yeah, oh oh yeah, no, it's it's it's vibrant.

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Speaker 3: It is vibrant. One thousand Resists is really good blueprints.

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Speaker 3: Shout out to the folks behind blueprints, like, yeah, no

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Speaker 3: indie scenes thriving, so you know, and granted I'm a

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Speaker 3: triple A guy, like you know, let's not get it twisted.

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Speaker 3: But yeah, man, I don't I don't need to see

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Speaker 3: every beata sweat like that give me more South of

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Speaker 3: Midnight that like stop motion type shit like yeah yeah,

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Speaker 3: video games, yeah yeah, and somebody like I was just

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Speaker 3: playing SEAFU and I'm like, that shit is so fucking no, man,

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Speaker 3: you don't need that ship to be ten eighty.

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Speaker 2: Like it's just amazing, but it going so hard. The

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Speaker 2: thing with I think people don't realize too, especially with

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Speaker 2: like the advent of four K TVs becoming so normal,

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Speaker 2: you have to sit Like there are graphs that show

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Speaker 2: you the viewing distance for you to perceive the difference

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Speaker 2: in four K. If you have a seventy inch four

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Speaker 2: K TV, you need to be sitting closer than five

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Speaker 2: feet away from the fucking screen to be able to

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Speaker 2: notice that different. Wow, And so like you have to

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Speaker 2: like so for all those like to your point, all

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Speaker 2: those little things are really perceptibles. You're playing on like

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Speaker 2: fucking iMac screen or something shit from like ten feet away.

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Speaker 2: But yeah, we're we're just not going to see it

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Speaker 2: the same way.

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Speaker 1: So what what is the console that it like maxed

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Speaker 1: out as like this is functionally all you need.

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Speaker 3: I mean, like I got a PS five, But they

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Speaker 3: are mad people still having a really good time with

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Speaker 3: a PS four.

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Speaker 1: Yeah, so PS four is enough. Yeah, we can stop

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Speaker 1: thing on like move upping the fidelity and just be like,

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Speaker 1: let's make the best games that we.

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Speaker 2: I mean, I see it right in front of that TV,

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Speaker 2: like I am. I am the promise that my mother

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Speaker 2: made about being like sitting too close to the TV.

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Speaker 1: Like that's me, slippery slope miles. Yeah, you're just gonna

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Speaker 1: keep going until you're sorry, like culture geist.

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Speaker 2: Yeah in the TV, get me out of here.

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Speaker 1: Doing a reverse ring, you know. Yeah, well to it's

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Speaker 1: been a pleasure getting to know you. We're going to

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Speaker 1: take a quick break and then we're going to come

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Speaker 1: right back and we're going to get into some news

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Speaker 1: that I think I'm excited to hear from from your

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Speaker 1: sci fi imagination.

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Speaker 5: Jesus some of the ship. It's written bad sci fi

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Speaker 5: Jesus Christ. We'll be right back, and we're bad.

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Speaker 1: And so we're now in the post Big Beautiful Bill universe,

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Speaker 1: where we're dealing with the repercussions of a bill that is,

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Speaker 1: you know, if Trump left office and you know, a

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Speaker 1: Democrat entered today, I feel like we would be undoing

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Speaker 1: the damage from this bill. For decades. Yeah, that's not

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Speaker 1: saying much because the Democrats are fucking terrible.

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Speaker 2: But it would take a long time.

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Speaker 1: It's still like even if if somebody, a US politician,

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Speaker 1: knew how bad this was, it would still take a

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Speaker 1: lot of time to undo the damage. So we're cutting

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Speaker 1: a shipload of healthcare benefits, Medicaid, Yeah.

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Speaker 2: Is going to hell, but jack, but we get to

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Speaker 2: ramp up the mass deportations, you know, and that's and that,

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Speaker 2: and that has the benefit of affecting multiple industries. So

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Speaker 2: the Republicans have a lot to figure or maybe they

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Speaker 2: don't have much to figure out, because it seems like

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Speaker 2: based on all the sound bites that have been coming

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Speaker 2: out of Republicans the last few days, as it relates

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Speaker 2: to like Medicaid, what do people do? What about employment?

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Speaker 2: It sounds like the plan is kind of like you

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Speaker 2: will toil in the fields, because a lot of people

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Speaker 2: are like, well, who will employers exploit for sub subsistence wages?

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Speaker 2: If America is a white ethno state secretary of whatever?

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Speaker 2: And here it is, this is this is a little

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Speaker 2: press conference that Brooke Collins or Brook Rollins, the Agricultural Secretary, gave.

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Speaker 2: That's pretty telling in terms of like how she sees

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Speaker 2: this lack of Medicaid benefits and also how mass deportations

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Speaker 2: are affecting just labor in general, how they all kind

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Speaker 2: of work together and it's gonna be pretty here. Here

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Speaker 2: it is, but I.

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Speaker 4: Can't underscore enough. There will be no amnesty. The mass

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Speaker 4: deportations continue, but in a strategic way, and we move

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Speaker 4: the workforce towards automation and American participation, which again, with

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Speaker 4: thirty four million people able bodied adults on Medicaid, we

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Speaker 4: should be able to do that fairly quickly.

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Speaker 1: Thank you. Sorry, what was she saying there? Thirty four

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Speaker 1: million able body body people on Medicaid? Were we kick

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Speaker 1: them off? Essentially?

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Speaker 2: She said, we can get up. So if there are

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Speaker 2: the people that have been deported, yeah, means and look

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Speaker 2: we got we got like thirty four million people that

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Speaker 2: are on Medicaid. Yeah, maybe maybe they can work for

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Speaker 2: their benefits.

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Speaker 1: They're coming from.

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Speaker 3: Why is this coming from the Agriculture secretary?

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Speaker 2: Because this is a thing where people were talking about

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Speaker 2: like this is affecting agriculture and massive right, because I mean.

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Speaker 1: Even Trump was like I'm talking to some of my

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Speaker 1: favorite people in the hotel industry and agriculture, and they're saying,

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Speaker 1: these are the good ones, these are the ones that will.

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Speaker 2: Work for sub subsistence wages. That's that's unfortunately that where

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Speaker 2: so whose labor will you exploit? It's like again again,

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Speaker 2: this is all built on exploited labor. You if you're

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Speaker 2: saying even the people who migrate here are the immigrants

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Speaker 2: of this country, who then whose labor exploit for again

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Speaker 2: sub subsistence wages? You're going to offset that by the

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Speaker 2: people who are now desperate because they are lost they've

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Speaker 2: lost their healthcare. And also the idea that every person

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Speaker 2: is like that's on Medicare is our medicaid is a

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Speaker 2: person who's able to do the physically strenuous work of

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Speaker 2: working in a field.

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Speaker 1: That's the plan. I mean, the people assume they're all

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Speaker 1: lying about what they're able to do, and then take

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Speaker 1: them to make them because it's a lot of fraud, waste,

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Speaker 1: a lot of fraud. Oh yeah, there's a lot of

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Speaker 1: these guys in their thirties in their grandma's basement.

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Speaker 2: Sorry, I mean people born in the nineteen thirties that

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Speaker 2: are just fucking us around right now. They're full of shit.

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Speaker 2: I mean because right now, right we're driving people out

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Speaker 2: of cities with costs of the cost of living becoming

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Speaker 2: so high, so then they can realize that the American

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Speaker 2: dream is in the fields or something. I mean again,

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Speaker 2: this is like the like the dark version is like,

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Speaker 2: is this the long term plan for like labor camps

436
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Speaker 2: where people who don't adopt the MAGA mindset go to

437
00:24:17,000 --> 00:24:19,280
Speaker 2: be contained because you're like, well, you know there's a

438
00:24:19,280 --> 00:24:22,119
Speaker 2: place where people, you know, able bodied people can be used.

439
00:24:22,200 --> 00:24:24,840
Speaker 2: Since we've pretty much scared the shit out of any

440
00:24:24,840 --> 00:24:27,240
Speaker 2: other person who'd want to come into this country. It's

441
00:24:27,280 --> 00:24:30,280
Speaker 2: just a very very odd thing, especially when you consider

442
00:24:30,720 --> 00:24:33,080
Speaker 2: that the unemployment rate is at four percent right now.

443
00:24:33,119 --> 00:24:35,880
Speaker 2: Granted that doesn't mean people are making a living wage,

444
00:24:35,920 --> 00:24:40,280
Speaker 2: but do these people seriously think Americans have the will

445
00:24:40,840 --> 00:24:44,360
Speaker 2: to do that kind of labor because every time we've

446
00:24:44,400 --> 00:24:47,399
Speaker 2: seen this example, with immigration crackdowns all these you are like,

447
00:24:47,680 --> 00:24:51,479
Speaker 2: I can't get a single person like to do the

448
00:24:51,520 --> 00:24:54,720
Speaker 2: work that people who immigrate to this country do. And

449
00:24:54,760 --> 00:24:57,120
Speaker 2: I think that's just like they're completely ignoring I mean,

450
00:24:57,160 --> 00:25:00,119
Speaker 2: that's would I would count on Republicans to come. We

451
00:25:00,280 --> 00:25:02,760
Speaker 2: ignore the fact that this country has been and always

452
00:25:02,760 --> 00:25:05,720
Speaker 2: will be like built on the back of exploited labor,

453
00:25:05,760 --> 00:25:08,879
Speaker 2: whether that's like chattel slavery or you know whatever version

454
00:25:08,920 --> 00:25:12,240
Speaker 2: we're in right now with sub subsistence wages for people

455
00:25:12,240 --> 00:25:14,640
Speaker 2: who like work in agriculture and beyond.

456
00:25:16,040 --> 00:25:17,600
Speaker 3: Yeah, I mean, you know what it reminds me. It

457
00:25:17,640 --> 00:25:22,080
Speaker 3: reminds me of back when the conversation about terroriffs was around,

458
00:25:22,119 --> 00:25:26,080
Speaker 3: like reshoring, manufacturing and all that jazz, and so you know,

459
00:25:26,160 --> 00:25:29,040
Speaker 3: there would be these polls that would go out being like, yeah, no,

460
00:25:29,240 --> 00:25:32,359
Speaker 3: all these Americans support brand factories back to the US,

461
00:25:33,000 --> 00:25:34,840
Speaker 3: and then they would ask, Okay, how many of you

462
00:25:34,920 --> 00:25:38,399
Speaker 3: actually want to work in one of those factories, and

463
00:25:38,480 --> 00:25:41,399
Speaker 3: the percentage would absolutely plummet.

464
00:25:41,040 --> 00:25:43,560
Speaker 1: Right because they don't want to do those jobs.

465
00:25:43,640 --> 00:25:46,440
Speaker 3: Like I don't know what they think those jobs consist of,

466
00:25:46,760 --> 00:25:49,360
Speaker 3: Like they don't want they don't actually want to do

467
00:25:50,280 --> 00:25:52,879
Speaker 3: that work. They don't want to be on the factory floor.

468
00:25:53,240 --> 00:25:56,680
Speaker 3: And also, this is what's good, they're really infuriating. There's

469
00:25:56,720 --> 00:26:01,080
Speaker 3: this is also Missouri Senator Eric Schmidt. He's also giving

470
00:26:01,119 --> 00:26:05,360
Speaker 3: his version about how like technology and the tech sector

471
00:26:05,640 --> 00:26:10,520
Speaker 3: plus the collapse of society will lead to people working

472
00:26:10,560 --> 00:26:14,160
Speaker 3: in meat processing plants. Again, very weird take, but very

473
00:26:14,160 --> 00:26:16,800
Speaker 3: similar to what the AG secretary said it.

474
00:26:16,800 --> 00:26:19,120
Speaker 1: At the beginning of the twentieth century, working in meat

475
00:26:19,160 --> 00:26:22,600
Speaker 1: processing plants has been the dream for many Americans. That's

476
00:26:22,600 --> 00:26:26,640
Speaker 1: why there's that aspirational novel The Jungle.

477
00:26:26,920 --> 00:26:29,639
Speaker 2: And also that great Guns n' Roses song about the

478
00:26:29,680 --> 00:26:32,440
Speaker 2: same thing. Yeah, welcome to the jungle. Yeah, yeah, we've

479
00:26:32,440 --> 00:26:34,200
Speaker 2: got I mean, that's where we don't want to.

480
00:26:34,119 --> 00:26:36,800
Speaker 1: Be in time. You're in the jungle, baby.

481
00:26:36,280 --> 00:26:39,920
Speaker 2: Like, yes, please, I'm dying in a meat processing facility.

482
00:26:40,400 --> 00:26:43,000
Speaker 2: This is Schmidt going on with his version and very

483
00:26:43,040 --> 00:26:47,679
Speaker 2: tortured logic about how jobs are gone and the immigrants

484
00:26:47,680 --> 00:26:50,880
Speaker 2: are taking them, but now you can have theirs, right.

485
00:26:50,920 --> 00:26:55,200
Speaker 6: The answer here is technology and American workers. The American

486
00:26:55,240 --> 00:26:57,240
Speaker 6: worker is we've talked about on the show before. Maria

487
00:26:57,320 --> 00:27:00,400
Speaker 6: has had the double whammy of terrible globalist policies.

488
00:27:00,440 --> 00:27:02,840
Speaker 1: They're shift, they're just so we're seeing the chief labor.

489
00:27:02,640 --> 00:27:05,000
Speaker 6: And say China, slave labor in China, and then the

490
00:27:05,000 --> 00:27:07,920
Speaker 6: importation of chief labor here at home. And so that's

491
00:27:07,920 --> 00:27:10,080
Speaker 6: why you have a lot of people who struggled to

492
00:27:10,080 --> 00:27:11,960
Speaker 6: find work. They've been sort of priced out of the market.

493
00:27:11,960 --> 00:27:15,199
Speaker 6: With illegal uh and and low aged workers. And the

494
00:27:15,200 --> 00:27:18,240
Speaker 6: answer here is opening those opportunities up for American workers.

495
00:27:18,240 --> 00:27:21,399
Speaker 6: You just saw a food processing plant open up that.

496
00:27:21,560 --> 00:27:24,040
Speaker 6: You know, you had some folks who were arrested and

497
00:27:24,080 --> 00:27:25,280
Speaker 6: sent away, and then.

498
00:27:25,160 --> 00:27:27,080
Speaker 2: You have that is so euphemistic.

499
00:27:27,760 --> 00:27:29,960
Speaker 1: Yeah, so I had some fun.

500
00:27:32,119 --> 00:27:35,439
Speaker 2: We've already had the Supreme Court. Okay, the disappearing of

501
00:27:35,480 --> 00:27:39,879
Speaker 2: people to a third country. Okay, like what okay, anyway,

502
00:27:39,960 --> 00:27:43,200
Speaker 2: they're just you know, these folks just sent away.

503
00:27:42,960 --> 00:27:46,479
Speaker 1: Somewhere, some people who are given a free, no charge,

504
00:27:46,880 --> 00:27:49,760
Speaker 1: spontaneous vacation, and it was.

505
00:27:50,800 --> 00:27:52,200
Speaker 2: It's a time share that they can't get out of.

506
00:27:52,280 --> 00:27:54,120
Speaker 2: But here we go. This is a thing. He goes

507
00:27:54,160 --> 00:27:55,400
Speaker 2: on to sell this idea.

508
00:27:55,359 --> 00:27:58,080
Speaker 6: Open up that you know, you had some folks who

509
00:27:58,119 --> 00:28:00,520
Speaker 6: were arrested and sent away, and then you have American

510
00:28:00,560 --> 00:28:03,000
Speaker 6: workers actually sign up and do those jobs. It's a

511
00:28:03,040 --> 00:28:05,520
Speaker 6: myth that Americans don't want to work hard and don't

512
00:28:05,520 --> 00:28:07,680
Speaker 6: want to do these jobs. Of course they will. But

513
00:28:07,800 --> 00:28:11,400
Speaker 6: automation technology advancement innovation is also going to be key

514
00:28:11,680 --> 00:28:13,119
Speaker 6: for agriculture section sector.

515
00:28:13,560 --> 00:28:15,520
Speaker 2: Okay, I don't even know that was such a word.

516
00:28:15,600 --> 00:28:19,080
Speaker 2: Salad buffet at the end, but my god, like the

517
00:28:19,119 --> 00:28:21,879
Speaker 2: things like, well, also the immigrants are taking the food

518
00:28:21,920 --> 00:28:25,679
Speaker 2: processing jobs which Americans are getting priced out of. No,

519
00:28:25,960 --> 00:28:29,199
Speaker 2: You've like this country's been built to like make people

520
00:28:29,320 --> 00:28:33,119
Speaker 2: docile with like hyper consumption, and part of that is

521
00:28:33,160 --> 00:28:35,919
Speaker 2: exploiting the labor of these people. And you think you

522
00:28:35,920 --> 00:28:38,560
Speaker 2: can just flip the fucking switch somehow to like the

523
00:28:38,600 --> 00:28:41,280
Speaker 2: beginning of the locomotive and you were like, Oh, I'm

524
00:28:41,320 --> 00:28:43,520
Speaker 2: getting in on this shit, ma, I'll be back, Like.

525
00:28:44,080 --> 00:28:45,080
Speaker 1: What are they talking about?

526
00:28:45,120 --> 00:28:47,880
Speaker 3: Well, it's like it's also like he's he wants his

527
00:28:47,960 --> 00:28:50,040
Speaker 3: cake and he wants to eat his cake and have

528
00:28:50,120 --> 00:28:52,440
Speaker 3: it too. He's saying, oh, like we're giving these jobs

529
00:28:52,480 --> 00:28:56,120
Speaker 3: to Americans, but also automation. So which is it, right?

530
00:28:56,600 --> 00:28:58,200
Speaker 3: Is Pucci Wally or is it one mic?

531
00:28:58,320 --> 00:28:58,640
Speaker 2: Thank you?

532
00:28:58,720 --> 00:29:00,320
Speaker 1: Like is it going to be American is or is

533
00:29:00,360 --> 00:29:01,240
Speaker 1: it going to be machines.

534
00:29:01,560 --> 00:29:04,880
Speaker 2: I knew someone would quote the great poet Sean Carter

535
00:29:05,520 --> 00:29:07,320
Speaker 2: show that's what we needed.

536
00:29:07,640 --> 00:29:10,480
Speaker 1: It reminds me of those videos that were going viral

537
00:29:10,560 --> 00:29:14,240
Speaker 1: in China was showing Americans like working in the working

538
00:29:14,280 --> 00:29:17,040
Speaker 1: in the factories and they were like all obese and

539
00:29:17,120 --> 00:29:19,920
Speaker 1: like clearly not built for it. I'm just wondering, like,

540
00:29:20,520 --> 00:29:22,920
Speaker 1: why why is China so skeptical of this? Do they

541
00:29:22,960 --> 00:29:27,600
Speaker 1: have some experience with a great movement where they try

542
00:29:27,640 --> 00:29:32,760
Speaker 1: to people, force people to do work that they weren't

543
00:29:32,840 --> 00:29:39,640
Speaker 1: naturally doing on their own, and then find I believe

544
00:29:39,640 --> 00:29:43,240
Speaker 1: it was called a great Leap Forward, and I was giving, mao,

545
00:29:44,760 --> 00:29:48,000
Speaker 1: it's giving, it's giving pig iron, it's giving leap forward.

546
00:29:49,800 --> 00:29:53,840
Speaker 1: I just took the name of that at face value,

547
00:29:54,360 --> 00:29:58,680
Speaker 1: great Leap Forward, and assumed we're talking. I'm in my

548
00:29:59,000 --> 00:30:01,280
Speaker 1: mind palace on picture Michael Jordan jumping from the pre

549
00:30:01,400 --> 00:30:05,400
Speaker 1: throw line, uh, picturing Michael Pale breaking the long distance

550
00:30:05,560 --> 00:30:09,200
Speaker 1: the lung jump record. So yeah, I'm assuming that's what

551
00:30:09,240 --> 00:30:11,000
Speaker 1: we have to look forward to. I'm not gonna do

552
00:30:11,080 --> 00:30:14,040
Speaker 1: research beyond that. Maybe AI can do it for me,

553
00:30:14,160 --> 00:30:15,000
Speaker 1: but not right now.

554
00:30:15,400 --> 00:30:15,600
Speaker 4: Yeah.

555
00:30:16,520 --> 00:30:21,400
Speaker 2: Again, Also just politicians revealing at every moment how out

556
00:30:21,400 --> 00:30:25,040
Speaker 2: of touch they are with fucking reality. Like this person,

557
00:30:25,440 --> 00:30:28,040
Speaker 2: even if who knows he probably maybe he does believe it,

558
00:30:28,160 --> 00:30:30,920
Speaker 2: or maybe he's so used to saying lobbyist, you know,

559
00:30:31,000 --> 00:30:33,280
Speaker 2: authored bullshit out loud that he doesn't even know what

560
00:30:33,320 --> 00:30:35,800
Speaker 2: he says anymore. But the idea is like yeah, and

561
00:30:35,800 --> 00:30:39,360
Speaker 2: there's an American person who used to have a skilled

562
00:30:39,480 --> 00:30:43,200
Speaker 2: job at a factory who's you know, whose company decided

563
00:30:43,200 --> 00:30:47,160
Speaker 2: to outsource that labor to like another country. He's dying

564
00:30:47,640 --> 00:30:51,920
Speaker 2: to process like pigs and and do all that kind

565
00:30:51,960 --> 00:30:52,200
Speaker 2: of thing.

566
00:30:52,480 --> 00:30:55,000
Speaker 1: Like I see those people, But why are none of

567
00:30:55,040 --> 00:30:57,040
Speaker 1: those people there? Why are none of them lining up?

568
00:30:57,080 --> 00:30:59,920
Speaker 1: Why why is it none and not even?

569
00:31:00,120 --> 00:31:02,080
Speaker 2: And yeah, and this isn't to like take a shot

570
00:31:02,080 --> 00:31:04,959
Speaker 2: at the jobs that these people do, but the like,

571
00:31:05,040 --> 00:31:08,680
Speaker 2: what what the momentum has been of American society has

572
00:31:08,760 --> 00:31:11,640
Speaker 2: been this idea of that you you can work all

573
00:31:11,720 --> 00:31:14,840
Speaker 2: of these jobs to have upward mobility. And now that

574
00:31:14,840 --> 00:31:18,120
Speaker 2: that's you know, just an absolute mirage. Now I think

575
00:31:18,120 --> 00:31:20,240
Speaker 2: they're just now just saying like, well, I guess the

576
00:31:20,280 --> 00:31:22,360
Speaker 2: only thing is now you will now fully just be

577
00:31:22,440 --> 00:31:26,080
Speaker 2: coerced into taking whatever job there is, because that's yea,

578
00:31:26,200 --> 00:31:29,440
Speaker 2: we're we're fucking pulling up the ladders now, and I'll

579
00:31:29,440 --> 00:31:30,040
Speaker 2: hope you're in.

580
00:31:30,600 --> 00:31:34,520
Speaker 1: The jobs that actually have been Like when people look

581
00:31:34,560 --> 00:31:37,120
Speaker 1: at the how you know, the world that actually exists,

582
00:31:37,240 --> 00:31:39,800
Speaker 1: not the one, not the sci fi world that's being

583
00:31:39,800 --> 00:31:43,080
Speaker 1: written by Republicans, Like the jobs that have actually contributed

584
00:31:43,160 --> 00:31:47,720
Speaker 1: to the most upward mobility are like nursing and healthcare work,

585
00:31:47,960 --> 00:31:51,000
Speaker 1: and those are going away thanks to this because they're

586
00:31:51,040 --> 00:31:54,320
Speaker 1: going to put so many fucking hospitals out of business.

587
00:31:54,720 --> 00:31:57,560
Speaker 1: The health I'm just like trying to wrap my head around,

588
00:31:57,560 --> 00:32:01,560
Speaker 1: like what this looks like in ten years like it

589
00:32:01,800 --> 00:32:06,040
Speaker 1: or just like five years like what people they they're

590
00:32:06,080 --> 00:32:10,640
Speaker 1: effectively like kicking millions of people off of like off

591
00:32:10,680 --> 00:32:14,000
Speaker 1: of their health insurance. They're not gonna have health insurance.

592
00:32:14,320 --> 00:32:17,360
Speaker 3: And I just don't get the rationale for like trying

593
00:32:17,400 --> 00:32:19,080
Speaker 3: to kill your own voters.

594
00:32:20,120 --> 00:32:23,720
Speaker 1: It's so that's the I do feel like everything they've

595
00:32:23,760 --> 00:32:25,800
Speaker 1: done since they were in office was like we made

596
00:32:25,840 --> 00:32:30,400
Speaker 1: it past the finish line of democracy, and now voting

597
00:32:30,600 --> 00:32:34,960
Speaker 1: is no longer a consideration, like we don't need anybody

598
00:32:34,960 --> 00:32:37,280
Speaker 1: to vote for it. Like he said that in the election,

599
00:32:37,520 --> 00:32:40,400
Speaker 1: and we were like, that feels like an authoritarian thing

600
00:32:40,440 --> 00:32:44,640
Speaker 1: to say. But then he has completely governed from that perspective.

601
00:32:44,800 --> 00:32:48,959
Speaker 1: Mm hm, like no no awareness of like what is

602
00:32:49,000 --> 00:32:50,600
Speaker 1: good for the people who voted for him.

603
00:32:50,680 --> 00:32:52,600
Speaker 2: I mean, it's probably just going to be what like

604
00:32:52,640 --> 00:32:54,640
Speaker 2: an extension of what we're seeing now right is like

605
00:32:54,680 --> 00:32:56,800
Speaker 2: how I don't know how you what your process would

606
00:32:56,840 --> 00:32:58,960
Speaker 2: be as an author of science fiction. But if you're

607
00:32:59,080 --> 00:33:01,960
Speaker 2: like from right now, right, the people who cannot afford

608
00:33:02,040 --> 00:33:04,760
Speaker 2: to live in this society are have to turn to

609
00:33:04,960 --> 00:33:08,600
Speaker 2: other like you know, their financial recourse is very limited,

610
00:33:08,800 --> 00:33:12,560
Speaker 2: so sometimes it's extra legal things. You criminalize poverty, So

611
00:33:12,640 --> 00:33:14,920
Speaker 2: now you have a group of people to keep in prisons.

612
00:33:15,200 --> 00:33:18,000
Speaker 2: Now you're criminalizing people who have immigrated to this country

613
00:33:18,200 --> 00:33:20,360
Speaker 2: and you can disappear them or put them in prisons.

614
00:33:20,560 --> 00:33:24,000
Speaker 2: They're now doing investigations into people like James Comy or

615
00:33:24,040 --> 00:33:26,880
Speaker 2: people who have said truths about Donald Trump. You can

616
00:33:26,920 --> 00:33:29,080
Speaker 2: put them into prisons. And I think that circle just

617
00:33:29,120 --> 00:33:32,600
Speaker 2: gets wider because then the oligarchs can continue to profit

618
00:33:32,680 --> 00:33:35,280
Speaker 2: and be like automations doing everything, and then the algorithms

619
00:33:35,280 --> 00:33:37,720
Speaker 2: can spot them evil doers and we'll just toss them

620
00:33:37,720 --> 00:33:40,400
Speaker 2: into our private prisons that we also profit from. And

621
00:33:40,560 --> 00:33:43,320
Speaker 2: like truly no, like it just feels like, yeah, if

622
00:33:43,320 --> 00:33:45,480
Speaker 2: that's where shit goes, that's where shit goes. Either way,

623
00:33:45,520 --> 00:33:47,400
Speaker 2: I'll be a fucking Santro.

624
00:33:47,560 --> 00:33:51,400
Speaker 1: Pay well, they'll do low cost labor, they'll do real

625
00:33:51,520 --> 00:33:55,560
Speaker 1: low cost labor once they work for our private prison

626
00:33:55,680 --> 00:33:56,720
Speaker 1: industrial complex.

627
00:33:56,920 --> 00:33:59,760
Speaker 2: Yeah, tot you what do you looking at that is,

628
00:34:00,440 --> 00:34:04,040
Speaker 2: how how do you envision where we go from here?

629
00:34:04,080 --> 00:34:06,640
Speaker 2: Not to say please see the future, but like what's

630
00:34:06,680 --> 00:34:09,360
Speaker 2: your process is getting please?

631
00:34:09,480 --> 00:34:12,080
Speaker 3: Yeah, no, exactly, No, I mean, you know, going off

632
00:34:12,120 --> 00:34:17,400
Speaker 3: of your your point of the widening net for imprisonment.

633
00:34:17,719 --> 00:34:18,719
Speaker 1: I mean it goes back to.

634
00:34:18,920 --> 00:34:23,439
Speaker 3: Like I think a lot about immediately after the Civil War,

635
00:34:23,520 --> 00:34:26,680
Speaker 3: when the South couldn't do like actual slavery, so they

636
00:34:26,800 --> 00:34:29,520
Speaker 3: just started doing black codes and locking people up for

637
00:34:29,719 --> 00:34:32,600
Speaker 3: you know, random vagrancy laws that they would make up,

638
00:34:32,800 --> 00:34:35,759
Speaker 3: you know, sort of ad hoc, and then they would

639
00:34:35,840 --> 00:34:40,200
Speaker 3: lease those people out to plantations and to farms and

640
00:34:40,239 --> 00:34:43,920
Speaker 3: whatnot and like basically have them as you know, it's

641
00:34:43,920 --> 00:34:46,400
Speaker 3: almost a misnomer to call them hired labor because like

642
00:34:46,440 --> 00:34:49,640
Speaker 3: they weren't paid, and like a part of their condition

643
00:34:49,719 --> 00:34:52,880
Speaker 3: of their imprisonment was doing field work, was doing this

644
00:34:53,000 --> 00:34:56,320
Speaker 3: manual labor. And I think there's a version of this where,

645
00:34:57,040 --> 00:35:00,560
Speaker 3: you know, the the workers that are populating these meat

646
00:35:00,640 --> 00:35:06,680
Speaker 3: processing plants and these factory floors are people serving jail sentences,

647
00:35:06,760 --> 00:35:09,719
Speaker 3: are people serving prison sentences, Like that being a thing

648
00:35:09,800 --> 00:35:12,600
Speaker 3: because like you're you know, in the event that you

649
00:35:12,680 --> 00:35:16,280
Speaker 3: run into a labor shortage of like willing workers that'll

650
00:35:16,400 --> 00:35:19,440
Speaker 3: that'll you know, jump into these jobs or what have you.

651
00:35:19,440 --> 00:35:22,720
Speaker 3: You have a whole coercive element in your carcerl system

652
00:35:23,040 --> 00:35:25,560
Speaker 3: to like draw from. I mean, it's like with when

653
00:35:25,600 --> 00:35:29,319
Speaker 3: I when I found out that like so many of

654
00:35:29,400 --> 00:35:36,439
Speaker 3: the firefighters in California were like prisoners that were hired.

655
00:35:36,480 --> 00:35:38,960
Speaker 3: And also these are the same people that once they

656
00:35:39,040 --> 00:35:42,840
Speaker 3: get out of prison, they can't actually get like a

657
00:35:42,920 --> 00:35:46,959
Speaker 3: license or certification to become an actual firefighter and get

658
00:35:47,080 --> 00:35:53,600
Speaker 3: actual firefighter firefighter wages back the exactly. So I you know,

659
00:35:53,680 --> 00:35:56,400
Speaker 3: I think there's a version of I think there's a

660
00:35:56,480 --> 00:35:58,920
Speaker 3: version of all of this where like that kind of

661
00:35:58,920 --> 00:35:59,480
Speaker 3: plays out.

662
00:36:00,080 --> 00:36:03,080
Speaker 1: But yeah, no, it's it's it's because.

663
00:36:02,880 --> 00:36:06,160
Speaker 3: Also too, you're dealing with a u It sounds almost

664
00:36:06,480 --> 00:36:10,560
Speaker 3: euphemistic to call it this, but this like fertility crisis

665
00:36:10,600 --> 00:36:13,239
Speaker 3: where like you know, they're they're just not going to

666
00:36:13,239 --> 00:36:18,279
Speaker 3: be enough people, right, So yeah, no, it's I think

667
00:36:19,080 --> 00:36:22,839
Speaker 3: drawing from populations that you can coerce into the type

668
00:36:22,840 --> 00:36:25,200
Speaker 3: of labor that you want or need them to do

669
00:36:25,600 --> 00:36:27,359
Speaker 3: is probably going to be a strategy that I see

670
00:36:27,400 --> 00:36:30,360
Speaker 3: these people picking up in the future if they're still

671
00:36:30,400 --> 00:36:33,120
Speaker 3: like sticking around in the future if they haven't just

672
00:36:33,200 --> 00:36:35,839
Speaker 3: like fucked off to Santrope or.

673
00:36:35,800 --> 00:36:39,759
Speaker 1: Something island by then right, yeah, they'll still be making

674
00:36:39,800 --> 00:36:42,920
Speaker 1: money off of well, like even with the farm thing, right,

675
00:36:43,280 --> 00:36:45,080
Speaker 1: you'd say, oh, well, how are you going to make

676
00:36:45,080 --> 00:36:45,800
Speaker 1: it more attractive?

677
00:36:45,880 --> 00:36:50,000
Speaker 2: They're suddenly going to raise their wages, you know what

678
00:36:50,080 --> 00:36:52,040
Speaker 2: I mean. That's where it's like, that's where you fucking

679
00:36:52,120 --> 00:36:54,479
Speaker 2: hit the wall. You're like, they're not so the next

680
00:36:54,520 --> 00:36:57,600
Speaker 2: option is will fucking create some people that are desperate

681
00:36:57,680 --> 00:37:01,840
Speaker 2: enough to take these wages that are on offer. And

682
00:37:01,880 --> 00:37:05,640
Speaker 2: it's just also too the total ignoring of the hiring

683
00:37:05,719 --> 00:37:10,080
Speaker 2: practices of these employers is also such a fucking chef's

684
00:37:10,160 --> 00:37:13,399
Speaker 2: kiss of like just putting blinders on, Like how dare

685
00:37:13,480 --> 00:37:15,000
Speaker 2: these people come in and work these jobs?

686
00:37:15,640 --> 00:37:17,840
Speaker 1: Motherfucker signing their checks.

687
00:37:19,640 --> 00:37:22,640
Speaker 2: There is no job without the person hiring them without

688
00:37:22,680 --> 00:37:25,600
Speaker 2: exploiting their labor. But again, they can't get in that's

689
00:37:25,640 --> 00:37:27,359
Speaker 2: another third rail thing. It's like, well, we can't get

690
00:37:27,360 --> 00:37:30,440
Speaker 2: into the exploitation of labor. That's we just have to

691
00:37:30,480 --> 00:37:33,000
Speaker 2: treat that as like a nebulous thing. We just ignore

692
00:37:33,120 --> 00:37:35,680
Speaker 2: throughout all of this vilification that we see.

693
00:37:35,840 --> 00:37:39,480
Speaker 1: Parable This Sewer is a sci fi work that a

694
00:37:39,520 --> 00:37:42,759
Speaker 1: lot of people point to as being like very prophetic

695
00:37:42,960 --> 00:37:46,120
Speaker 1: about like what's happening right now. And one of the

696
00:37:46,160 --> 00:37:50,200
Speaker 1: things that she writes about in that is like company towns,

697
00:37:50,360 --> 00:37:53,960
Speaker 1: where people like just go to live because they have

698
00:37:54,080 --> 00:37:57,759
Speaker 1: like protection from like the apocalypse that's happening around them. Right,

699
00:37:57,880 --> 00:38:03,360
Speaker 1: But it does make sense that like the basically forced

700
00:38:03,400 --> 00:38:06,040
Speaker 1: company towns is like what we're talking about with the

701
00:38:06,040 --> 00:38:11,120
Speaker 1: private industrial complex. And yeah, I just that's it's so

702
00:38:11,280 --> 00:38:14,000
Speaker 1: fucking grim. Well I think to that point too. Right.

703
00:38:14,200 --> 00:38:17,480
Speaker 2: You also had other people from like Trump's labor and

704
00:38:17,719 --> 00:38:21,959
Speaker 2: like economic cabinets say things that like, well, a great

705
00:38:21,960 --> 00:38:24,919
Speaker 2: way to get healthcare is to get a job. Yeah,

706
00:38:25,000 --> 00:38:27,480
Speaker 2: you know, And that's that's sort of like the step

707
00:38:27,560 --> 00:38:30,520
Speaker 2: one to this idea of like your salvation will come

708
00:38:30,560 --> 00:38:34,520
Speaker 2: through you toiling for corporation, for you giving your labor

709
00:38:34,560 --> 00:38:37,560
Speaker 2: over to this thing in exchange for what used to

710
00:38:37,560 --> 00:38:40,480
Speaker 2: be thought of as like a human Right. Yeah, it

711
00:38:40,480 --> 00:38:43,040
Speaker 2: now means the terms of conditions now apply based on

712
00:38:43,080 --> 00:38:44,000
Speaker 2: your ability to toil.

713
00:38:44,440 --> 00:38:47,120
Speaker 1: I will say that one place that they are showing

714
00:38:47,239 --> 00:38:50,680
Speaker 1: that they're interested in voters is that I feel like

715
00:38:50,719 --> 00:38:53,480
Speaker 1: they're kicking people off of healthcare who don't have children

716
00:38:53,840 --> 00:38:57,880
Speaker 1: more than people who do, which I think is a

717
00:38:57,920 --> 00:39:00,879
Speaker 1: recognition that like, well, nobody's gonna be at med if

718
00:39:00,880 --> 00:39:04,319
Speaker 1: people without children are dying or losing healthcare when they

719
00:39:04,320 --> 00:39:08,360
Speaker 1: get older, like real eleanor Rigby shit right, just like well.

720
00:39:08,560 --> 00:39:11,359
Speaker 3: I mean, I think another trick they're trying to pull

721
00:39:11,440 --> 00:39:15,640
Speaker 3: is there. You know, the tax cuts kick in immediately,

722
00:39:16,120 --> 00:39:18,960
Speaker 3: the Medicaid and entitlement cuts won't kick in for the

723
00:39:18,960 --> 00:39:22,360
Speaker 3: most part until after twenty until after the twenty twenty

724
00:39:22,360 --> 00:39:22,920
Speaker 3: sixth election.

725
00:39:23,120 --> 00:39:23,880
Speaker 2: Yeah, the midterms.

726
00:39:23,960 --> 00:39:27,799
Speaker 3: Yeah, yeah, So like that, I mean, I think people

727
00:39:27,840 --> 00:39:30,960
Speaker 3: are still gonna know, They're still gonna know.

728
00:39:31,840 --> 00:39:33,160
Speaker 1: Yeah, I mean, it's like.

729
00:39:33,360 --> 00:39:36,799
Speaker 2: It's there are rural hospitals that have already begun to

730
00:39:36,840 --> 00:39:40,399
Speaker 2: shut down because they're already on a knife's edge and

731
00:39:40,400 --> 00:39:43,600
Speaker 2: not even to do this bill. It's like, nope, they

732
00:39:43,640 --> 00:39:46,000
Speaker 2: are closing. So that is a reality for some people.

733
00:39:46,000 --> 00:39:49,920
Speaker 2: But again, the ability to connect those dots, because we

734
00:39:50,000 --> 00:39:53,160
Speaker 2: are the most propagandized population on the planet.

735
00:39:53,640 --> 00:39:57,280
Speaker 1: North Korea could never, oh never, the performances.

736
00:39:57,360 --> 00:40:01,200
Speaker 2: Have you seen the performances of the cabinet officials taking notes?

737
00:40:01,400 --> 00:40:04,480
Speaker 2: They're gonna be like in that Fascist Actors studio, like

738
00:40:04,560 --> 00:40:07,200
Speaker 2: Max and James lift and like what's your favorite way

739
00:40:07,280 --> 00:40:09,640
Speaker 2: to actually you know, ask kiss.

740
00:40:10,200 --> 00:40:15,239
Speaker 1: You get into character good just like their process, like

741
00:40:15,320 --> 00:40:17,799
Speaker 1: what they do. That would be so good to just

742
00:40:18,080 --> 00:40:21,040
Speaker 1: if we could get just a fly on the wall

743
00:40:21,200 --> 00:40:25,160
Speaker 1: view of like what their ritual is every morning as

744
00:40:25,160 --> 00:40:27,520
Speaker 1: they just they're just like how do I how do

745
00:40:27,600 --> 00:40:31,360
Speaker 1: I just purge myself of all humanity.

746
00:40:30,800 --> 00:40:33,760
Speaker 3: In the mirror and they're doing their morning makeup routine

747
00:40:33,840 --> 00:40:36,720
Speaker 3: and just like, okay, how do I smear the evil

748
00:40:36,800 --> 00:40:39,840
Speaker 3: on my head? And I need to just like block

749
00:40:39,920 --> 00:40:42,520
Speaker 3: the maliciousness on my cheeks with a little bit of

750
00:40:42,719 --> 00:40:43,720
Speaker 3: rouge and then.

751
00:40:44,080 --> 00:40:48,680
Speaker 1: Great idea, sir, Great idea, sir, Great idea, sir, Great idea, sir.

752
00:40:49,320 --> 00:40:53,040
Speaker 2: Fantastic opinion. That's that's the kind of clarity that always

753
00:40:53,040 --> 00:40:54,640
Speaker 2: impresses me about your leadership, sir.

754
00:40:55,520 --> 00:40:55,759
Speaker 1: Yeah.

755
00:40:56,040 --> 00:40:58,720
Speaker 2: Maybe maybe it's like three hours in the morning looking

756
00:40:58,719 --> 00:41:01,600
Speaker 2: in the mirror straight just going this isn't you, This

757
00:41:01,640 --> 00:41:05,239
Speaker 2: isn't you, this isn't you, until tears are just streaming

758
00:41:05,239 --> 00:41:06,040
Speaker 2: down your face and like.

759
00:41:06,160 --> 00:41:08,680
Speaker 1: Yeah, okay, I'm ready three hour cry to just get

760
00:41:08,719 --> 00:41:11,040
Speaker 1: all the tears out, not even that they're not even

761
00:41:11,040 --> 00:41:11,480
Speaker 1: that they're.

762
00:41:11,400 --> 00:41:13,239
Speaker 2: I don't even know why they're saying that, because I

763
00:41:13,239 --> 00:41:15,320
Speaker 2: don't think they're that in touch with their own humanity.

764
00:41:15,400 --> 00:41:17,560
Speaker 2: But it's some kind of thing where they try and

765
00:41:17,880 --> 00:41:21,280
Speaker 2: like purge whatever weird void in their soul that opened

766
00:41:21,360 --> 00:41:24,680
Speaker 2: up from their childhood or adulthood. They're just like fill

767
00:41:24,760 --> 00:41:25,840
Speaker 2: it with concrete.

768
00:41:26,200 --> 00:41:28,000
Speaker 1: So you wake up at three in the morning, like

769
00:41:28,080 --> 00:41:31,759
Speaker 1: the manisphere tells you too. Yeah, so, and also so

770
00:41:31,880 --> 00:41:35,000
Speaker 1: that you are so exhausted that you don't have the

771
00:41:35,040 --> 00:41:38,560
Speaker 1: ability to push back exactly. So you wake up at

772
00:41:38,560 --> 00:41:42,320
Speaker 1: three am and you just pray, pray for like three hours,

773
00:41:42,840 --> 00:41:45,120
Speaker 1: but you pray with loud music on, so you can't

774
00:41:45,160 --> 00:41:48,080
Speaker 1: hear any anything that's coming back. Yeah, you just listen

775
00:41:48,160 --> 00:41:51,280
Speaker 1: to Slipknot. Yeah, living on a lot of face dunking

776
00:41:51,320 --> 00:41:53,280
Speaker 1: in ice water Saratoga Springs.

777
00:41:55,120 --> 00:41:58,000
Speaker 2: And then and then I do a full sprint through

778
00:41:58,040 --> 00:41:59,120
Speaker 2: an empty parking.

779
00:41:58,840 --> 00:42:07,600
Speaker 1: Lot with just big smile glazed on your face, tears streaming. Sure. Yeah,

780
00:42:07,640 --> 00:42:11,200
Speaker 1: all right, let's take a quick break. Well, we'll be back.

781
00:42:11,800 --> 00:42:14,600
Speaker 1: We'll figure out one of these stories to talk about it,

782
00:42:14,680 --> 00:42:27,719
Speaker 1: maybe less depressing. We'll see. We'll be right back and

783
00:42:27,920 --> 00:42:32,600
Speaker 1: we're back. We're back, and Business Insider out here again

784
00:42:32,680 --> 00:42:34,960
Speaker 1: doing the journalism that we deserve.

785
00:42:35,320 --> 00:42:37,600
Speaker 2: See but the people thought I was waiting for the

786
00:42:37,640 --> 00:42:40,120
Speaker 2: new Clips album to drop. No, I was waiting for

787
00:42:40,160 --> 00:42:43,239
Speaker 2: the new Business Insider profile of some out of touch

788
00:42:43,280 --> 00:42:47,080
Speaker 2: asshole talking out loud to drop. And we've got it

789
00:42:47,160 --> 00:42:51,840
Speaker 2: maybe this one. Let me read the title, is I

790
00:42:51,960 --> 00:42:54,560
Speaker 2: work in AI and now I use it for parenting

791
00:42:54,640 --> 00:42:58,200
Speaker 2: my five kids? Shielding them from it would be a mistake.

792
00:42:58,840 --> 00:43:02,120
Speaker 2: Oh boy, this sounds good. So yeah, it's about this

793
00:43:02,160 --> 00:43:06,080
Speaker 2: guy who works in AI specifically has a company called

794
00:43:06,080 --> 00:43:10,640
Speaker 2: like AI CEO or something. He basically evangelizes the use

795
00:43:10,680 --> 00:43:13,680
Speaker 2: of AI and the adoption of AI and scares the

796
00:43:13,719 --> 00:43:16,000
Speaker 2: fuck out of I think small business owners to be like,

797
00:43:16,280 --> 00:43:17,880
Speaker 2: because you know what's gonna happen that if you're not

798
00:43:18,239 --> 00:43:20,560
Speaker 2: doing this, the people that are, they're gonna be making

799
00:43:20,600 --> 00:43:23,640
Speaker 2: more money because they're gonna fucking fire human laborers.

800
00:43:23,120 --> 00:43:25,240
Speaker 1: Before you, And then you're stock who.

801
00:43:25,040 --> 00:43:29,760
Speaker 2: Knows, Like that's like his whole pitch basically, so that it's.

802
00:43:29,640 --> 00:43:34,600
Speaker 1: Not just small business owners.

803
00:43:34,920 --> 00:43:36,240
Speaker 2: You're publicly traded.

804
00:43:36,400 --> 00:43:41,359
Speaker 1: Oh boy, they want to adopt We're in the era

805
00:43:41,480 --> 00:43:46,360
Speaker 1: of savings right now. You know, trying to make it. Yeah,

806
00:43:46,560 --> 00:43:49,879
Speaker 1: that is such a great it's actually tochi it's efficiency.

807
00:43:50,160 --> 00:43:56,719
Speaker 1: Actually not upstairs. Don't call it class war. It's innovation.

808
00:43:57,000 --> 00:43:57,799
Speaker 1: It's innovation.

809
00:43:58,040 --> 00:44:00,840
Speaker 3: It's restructuring ructuring wealth.

810
00:44:01,280 --> 00:44:04,239
Speaker 2: Yeah, is how we're restructuring it to move up and

811
00:44:04,280 --> 00:44:08,399
Speaker 2: to defy gravity. Anyway, So this is this is how

812
00:44:08,400 --> 00:44:10,440
Speaker 2: the piece starts. He basically talks about how it's like,

813
00:44:10,800 --> 00:44:13,080
Speaker 2: I'm just I'm going to be a better parent because

814
00:44:13,080 --> 00:44:15,080
Speaker 2: I use AI and I'm going to make my kids smarter.

815
00:44:15,160 --> 00:44:17,319
Speaker 2: Quote as a dad of five kids ranging in age

816
00:44:17,320 --> 00:44:18,680
Speaker 2: from five to fifteen, I use.

817
00:44:18,640 --> 00:44:19,640
Speaker 1: AI throughout the day.

818
00:44:19,880 --> 00:44:22,719
Speaker 2: It's my profession, but it's also a powerful tool for

819
00:44:22,800 --> 00:44:25,480
Speaker 2: parenting and not only makes me my life easier in

820
00:44:25,520 --> 00:44:28,040
Speaker 2: some ways, it also helps my kids prepare for the

821
00:44:28,080 --> 00:44:30,640
Speaker 2: world they're entering. And he goes on and talk about

822
00:44:30,640 --> 00:44:32,960
Speaker 2: how AI. He's like, it's not going to take your job,

823
00:44:33,400 --> 00:44:36,359
Speaker 2: but a person who's using AI will That's how he's

824
00:44:36,360 --> 00:44:39,600
Speaker 2: like kind of lightly dialing that fear mongering back of things.

825
00:44:40,040 --> 00:44:43,200
Speaker 1: As a guy who likes to bust and works an AI.

826
00:44:47,920 --> 00:44:50,960
Speaker 2: Yeah, yeah, they're getting a top notch education from what

827
00:44:51,000 --> 00:44:52,680
Speaker 2: it sounds like too, because they go to well here,

828
00:44:52,719 --> 00:44:55,520
Speaker 2: let me read this paragraph. I homeschool all five of

829
00:44:55,520 --> 00:44:58,320
Speaker 2: my kids. I try to follow the ancient Greek model

830
00:44:58,360 --> 00:44:59,720
Speaker 2: of education, where.

831
00:44:59,560 --> 00:45:04,200
Speaker 1: You learn you do always good, never never misapplied, the

832
00:45:04,280 --> 00:45:07,240
Speaker 1: lessons of rum, never miss applied.

833
00:45:09,840 --> 00:45:12,160
Speaker 2: I feel, oh yeah, I like the Socratic method where

834
00:45:12,160 --> 00:45:13,680
Speaker 2: I don't know shit. I just asked my kid a

835
00:45:13,680 --> 00:45:16,120
Speaker 2: bunch of times if they know, and I believe that's how.

836
00:45:16,239 --> 00:45:19,000
Speaker 2: I think that's a Socratic method. Anyway, he said, my

837
00:45:19,080 --> 00:45:21,320
Speaker 2: kids learn a skill and practice it, then they demonstrate

838
00:45:21,320 --> 00:45:24,239
Speaker 2: their knowledge by teaching it to their siblings. Okay, if

839
00:45:24,239 --> 00:45:26,399
Speaker 2: the little kids get stuck on a problem, they ask

840
00:45:26,480 --> 00:45:28,680
Speaker 2: the older kids for help. But if the older kids

841
00:45:28,719 --> 00:45:31,279
Speaker 2: can't help, they turn to AI. All of the kids

842
00:45:31,360 --> 00:45:33,439
Speaker 2: have AI on their phones and tablets, and it acts

843
00:45:33,440 --> 00:45:35,960
Speaker 2: as their tutor. This is the most This is most powerful.

844
00:45:36,000 --> 00:45:38,160
Speaker 2: When the kids get very frustrated with a problem, the

845
00:45:38,160 --> 00:45:40,040
Speaker 2: type of problem that makes them want to throw their

846
00:45:40,040 --> 00:45:41,279
Speaker 2: hands up and say.

847
00:45:41,080 --> 00:45:42,520
Speaker 1: No one can figure this out.

848
00:45:42,800 --> 00:45:46,000
Speaker 2: In that moment, AI can guide them through solving the problem,

849
00:45:46,120 --> 00:45:49,040
Speaker 2: showing them that it can be done. No one can

850
00:45:49,080 --> 00:45:53,840
Speaker 2: figure this out. And I think you talk to Andy

851
00:45:53,960 --> 00:45:57,440
Speaker 2: and delay mommy AI AI. Oh oh I don't know

852
00:45:57,520 --> 00:46:01,880
Speaker 2: about this. He I mean, he like uses this like

853
00:46:02,200 --> 00:46:04,480
Speaker 2: example of like how do I do a thing to

854
00:46:04,600 --> 00:46:06,720
Speaker 2: show like he also said like we kind of fixed

855
00:46:06,719 --> 00:46:10,320
Speaker 2: our air conditioning unit and it was a family event. Okay,

856
00:46:10,680 --> 00:46:14,719
Speaker 2: I I don't know. I'm going back to my childhood

857
00:46:15,520 --> 00:46:18,120
Speaker 2: with my black father my Japanese immigrant mother. If I

858
00:46:18,160 --> 00:46:21,239
Speaker 2: said I can't how I knowing can figure this out,

859
00:46:21,239 --> 00:46:23,040
Speaker 2: they'd be like, you need to learn how to read

860
00:46:23,080 --> 00:46:27,319
Speaker 2: a fucking book. Yeah, Like go to the encyclopedia, go

861
00:46:27,400 --> 00:46:30,920
Speaker 2: to the library. You look on the internet, like and

862
00:46:31,000 --> 00:46:32,719
Speaker 2: at least I had that it or actually rather like

863
00:46:33,120 --> 00:46:33,960
Speaker 2: just check out the AI.

864
00:46:34,320 --> 00:46:38,320
Speaker 1: Yeah. Well, also like which of these what where find

865
00:46:38,360 --> 00:46:41,160
Speaker 1: the pardon here? Where he describes AI in a way

866
00:46:41,200 --> 00:46:46,000
Speaker 1: that doesn't apply to Google before it was broken by AI,

867
00:46:46,600 --> 00:46:49,480
Speaker 1: you know, like when just like knowing how to use

868
00:46:49,520 --> 00:46:54,200
Speaker 1: Google and having access to maybe like some scholarly journals.

869
00:46:54,800 --> 00:46:55,520
Speaker 1: I learned how to.

870
00:46:55,480 --> 00:47:00,080
Speaker 2: Make a New Jersey fake driver's license on three a

871
00:47:00,360 --> 00:47:03,839
Speaker 2: Google Yah, and I knew I had to find a

872
00:47:03,880 --> 00:47:07,160
Speaker 2: fucking PDF like frame, like a fucking vector file that

873
00:47:07,160 --> 00:47:08,400
Speaker 2: I could throw my picture.

874
00:47:08,719 --> 00:47:13,440
Speaker 3: I learned about all that shit from searching the internet. Yeah,

875
00:47:13,840 --> 00:47:17,520
Speaker 3: and like also too. You know, another benefit of raising

876
00:47:17,600 --> 00:47:21,840
Speaker 3: your kids by actually interacting with them and like telling

877
00:47:21,920 --> 00:47:26,000
Speaker 3: them things and sending them off to do things like

878
00:47:26,280 --> 00:47:29,200
Speaker 3: you know how stuff and whatnot, is that there's at least,

879
00:47:29,239 --> 00:47:32,840
Speaker 3: depending on the context, a lot less of a risk

880
00:47:33,120 --> 00:47:40,040
Speaker 3: of raising like five raging anti semites, right, yeah, which

881
00:47:40,960 --> 00:47:44,680
Speaker 3: it's like almost stand yeah, Like, you know, there's also

882
00:47:44,920 --> 00:47:48,680
Speaker 3: that benefit to interacting with your because like I like

883
00:47:48,880 --> 00:47:53,319
Speaker 3: one thing, and I don't think. I don't think America,

884
00:47:53,560 --> 00:47:58,200
Speaker 3: or at least American society has fully reckoned with how

885
00:47:58,680 --> 00:48:02,600
Speaker 3: the pandemic like fucked with us socially and how it

886
00:48:02,840 --> 00:48:06,719
Speaker 3: just completely you know, not just for younger generations, but

887
00:48:06,760 --> 00:48:12,279
Speaker 3: also for older generations, just reconfigured how we interact with

888
00:48:12,320 --> 00:48:15,760
Speaker 3: each other, and how difficult it has become for people

889
00:48:15,800 --> 00:48:19,239
Speaker 3: to like really interact with each other where you know,

890
00:48:19,640 --> 00:48:24,000
Speaker 3: people these Like I was talking with high school teacher

891
00:48:24,239 --> 00:48:26,600
Speaker 3: the other day, like over the weekend. He was talking

892
00:48:26,640 --> 00:48:30,200
Speaker 3: about how it was actually easier to teach his students

893
00:48:30,320 --> 00:48:34,120
Speaker 3: or for his students to interact with him through their

894
00:48:34,239 --> 00:48:38,640
Speaker 3: phones as opposed to just face to face like conversation

895
00:48:38,719 --> 00:48:41,280
Speaker 3: and stuff like that. And so the thing about living

896
00:48:41,320 --> 00:48:44,040
Speaker 3: in the world is that you're actually in the world,

897
00:48:44,280 --> 00:48:49,400
Speaker 3: like you're physically like in the world around other people

898
00:48:49,600 --> 00:48:52,480
Speaker 3: and all of these things. So growing up, living a

899
00:48:52,520 --> 00:48:55,320
Speaker 3: life is not just about the accumulation of knowledge or whatever.

900
00:48:55,480 --> 00:48:58,239
Speaker 3: Like you can read as many Wikipedia pages as you want,

901
00:48:58,320 --> 00:49:02,600
Speaker 3: Like that's not going to make you actually smarter person.

902
00:49:02,680 --> 00:49:04,560
Speaker 3: You actually you have to actually learn how to talk

903
00:49:04,560 --> 00:49:05,000
Speaker 3: to people.

904
00:49:05,280 --> 00:49:05,640
Speaker 1: Right.

905
00:49:06,040 --> 00:49:11,359
Speaker 2: Yeah, the piece goes on, it's fucking wild again. This

906
00:49:11,400 --> 00:49:13,960
Speaker 2: motherfucker is just doesn't want to be a dad. I

907
00:49:14,000 --> 00:49:16,120
Speaker 2: think it's what they should have called this piece. Like

908
00:49:16,200 --> 00:49:19,280
Speaker 2: many kids mine love to ask a million questions at bedtime,

909
00:49:19,360 --> 00:49:21,000
Speaker 2: like Dad, why are you drinking, where are you going,

910
00:49:21,000 --> 00:49:21,600
Speaker 2: where are you leaving?

911
00:49:24,480 --> 00:49:27,960
Speaker 1: Why don't you talk to yea? Yeah, does mom ever

912
00:49:28,000 --> 00:49:29,359
Speaker 1: come up with this? No?

913
00:49:29,440 --> 00:49:32,040
Speaker 2: But the photo of the family, it almost looks like

914
00:49:32,080 --> 00:49:33,760
Speaker 2: the mother could be AI.

915
00:49:34,280 --> 00:49:37,919
Speaker 1: Yeah. I generated like I was like, hmmm, oh yeah,

916
00:49:38,280 --> 00:49:42,560
Speaker 1: they're all smiling and the mom is giving Victoria Beckham Yeah,

917
00:49:42,920 --> 00:49:45,239
Speaker 1: but like great, like posh spice face.

918
00:49:45,120 --> 00:49:47,240
Speaker 2: But like she's got something filtered anyway.

919
00:49:47,280 --> 00:49:47,680
Speaker 1: Whatever.

920
00:49:47,840 --> 00:49:50,800
Speaker 2: So he goes on, I hate when my fucking kids

921
00:49:50,800 --> 00:49:53,400
Speaker 2: are like, why don't you love me? He says, quote,

922
00:49:53,520 --> 00:49:56,719
Speaker 2: I'll answer the first three to four but why questions?

923
00:49:56,920 --> 00:49:59,880
Speaker 2: Then I handed over to AI. The computer system has

924
00:50:00,040 --> 00:50:03,439
Speaker 2: relentless energy to answer questions from even the most persistent kid,

925
00:50:03,680 --> 00:50:06,520
Speaker 2: and my children usually get tired. You get usually get

926
00:50:06,520 --> 00:50:08,680
Speaker 2: tired out after a few minutes. I do the same

927
00:50:08,680 --> 00:50:10,799
Speaker 2: thing when the kids are arguing. Sometimes I'll ask AI

928
00:50:10,960 --> 00:50:14,080
Speaker 2: for a second opinion. It leads to what about your partner?

929
00:50:14,480 --> 00:50:18,600
Speaker 1: Yeah? Right, where are they? Where is that hold on?

930
00:50:18,640 --> 00:50:25,319
Speaker 2: So so your partner's a third No, honey, I ask

931
00:50:25,360 --> 00:50:26,480
Speaker 2: chat GPT hold on?

932
00:50:26,560 --> 00:50:26,759
Speaker 5: Yeah?

933
00:50:26,840 --> 00:50:29,040
Speaker 3: Yeah, you know what this reminds me of. I think

934
00:50:29,040 --> 00:50:31,239
Speaker 3: it also might have been Business Insider. There was this

935
00:50:31,360 --> 00:50:33,920
Speaker 3: story that came out a while back, maybe like a

936
00:50:33,960 --> 00:50:37,480
Speaker 3: like several months back, about this dude who he was

937
00:50:37,520 --> 00:50:41,920
Speaker 3: evangelizing this like AI platform that could create office assistance

938
00:50:42,360 --> 00:50:45,840
Speaker 3: for him, so you could make yourself your own CEO

939
00:50:46,320 --> 00:50:50,319
Speaker 3: and have a whole team doing stuff for you, And

940
00:50:50,360 --> 00:50:54,960
Speaker 3: then he ended up sexually harassing one of his AI

941
00:50:55,120 --> 00:51:02,799
Speaker 3: generated assistants and writing a story about.

942
00:51:00,880 --> 00:51:04,520
Speaker 1: He was like, this is one of the services that

943
00:51:04,600 --> 00:51:08,440
Speaker 1: it provides. Yes, it's you can sexually harass it essentially

944
00:51:08,480 --> 00:51:10,600
Speaker 1: without being without farming somebody.

945
00:51:12,200 --> 00:51:14,359
Speaker 3: The headline was like, I think I made an HR

946
00:51:14,400 --> 00:51:15,759
Speaker 3: booboo or something like that.

947
00:51:17,120 --> 00:51:19,480
Speaker 2: Yes, he's like, yeah, I made an hr bubu when

948
00:51:19,520 --> 00:51:23,440
Speaker 2: I made this AI system dumb thing, yo dog shout.

949
00:51:24,080 --> 00:51:27,040
Speaker 2: I shouldn't know when I was doing the creative player mode,

950
00:51:27,200 --> 00:51:31,160
Speaker 2: should I shouldn't have sent the yeks to that you'd seen.

951
00:51:31,000 --> 00:51:34,120
Speaker 1: Her, I mean she was dragging a wagon. Man like

952
00:51:34,239 --> 00:51:38,640
Speaker 1: you wouldn't like what is this batman?

953
00:51:38,680 --> 00:51:40,560
Speaker 3: Could not have beaten that confession out of me?

954
00:51:41,080 --> 00:51:44,040
Speaker 1: Right, Yeah, And he's like, oh, this is an interesting

955
00:51:44,080 --> 00:51:46,560
Speaker 1: wrinkle that I can talk to people about. But I

956
00:51:46,600 --> 00:51:50,759
Speaker 1: mean kind of smart marketing because every CEO who they're

957
00:51:50,760 --> 00:51:59,960
Speaker 1: trying to pitch to has had problems accidentally jacking off

958
00:52:00,080 --> 00:52:07,239
Speaker 1: on a zoom call con tubing on the internet. So

959
00:52:07,640 --> 00:52:10,960
Speaker 1: you know what, what what if there was a personal

960
00:52:11,000 --> 00:52:14,600
Speaker 1: assistant that you could sexually harass to your heart's content.

961
00:52:15,200 --> 00:52:18,480
Speaker 2: This is like when like people like sex offenders are like, well,

962
00:52:18,560 --> 00:52:21,640
Speaker 2: this is why, like I need this like child robot, cause,

963
00:52:21,760 --> 00:52:23,680
Speaker 2: like Ben, I don't do stuff in real in the

964
00:52:23,719 --> 00:52:26,400
Speaker 2: real world. You're like, hold on, that's not the issue

965
00:52:26,680 --> 00:52:29,000
Speaker 2: is that you need this robot fu. You need to

966
00:52:29,000 --> 00:52:32,120
Speaker 2: fucking do some soul searching. There's another line in this

967
00:52:32,320 --> 00:52:35,000
Speaker 2: that just just shakes me to my core because again,

968
00:52:35,239 --> 00:52:37,560
Speaker 2: we're all we've all been kids who ask our parents

969
00:52:37,680 --> 00:52:41,320
Speaker 2: questions like why remember one of the first things, Uh, anyway,

970
00:52:41,360 --> 00:52:44,239
Speaker 2: this said in our house? Have you asked AI for assistance?

971
00:52:44,400 --> 00:52:50,000
Speaker 2: Is a common refrain. That's how terrible that's your relationship

972
00:52:50,040 --> 00:52:52,200
Speaker 2: to your children is like did you why are you

973
00:52:52,239 --> 00:52:54,080
Speaker 2: bothering me with this mess? Did you ask your cell phone?

974
00:52:54,480 --> 00:52:57,760
Speaker 1: And then they're mimicking that behavior when.

975
00:52:58,520 --> 00:53:00,959
Speaker 2: You know what I'm saying, like like this is big. Yeah,

976
00:53:01,080 --> 00:53:04,200
Speaker 2: everything downstream of this is so fucking terrible. But this

977
00:53:04,280 --> 00:53:08,040
Speaker 2: guy's like, I'm just he's again rationalized this as if

978
00:53:08,080 --> 00:53:10,360
Speaker 2: he's doing them a favor, when in fact he's so

979
00:53:10,560 --> 00:53:14,160
Speaker 2: selfish and just so myopic in his view of like

980
00:53:14,200 --> 00:53:16,520
Speaker 2: what AI is that he's like, oh, this and this,

981
00:53:16,640 --> 00:53:18,920
Speaker 2: I'm just preparing them for a cold world where their

982
00:53:19,000 --> 00:53:20,359
Speaker 2: dads will ignore them and be.

983
00:53:20,280 --> 00:53:21,680
Speaker 1: Like, why are you fucking asking me?

984
00:53:21,760 --> 00:53:25,200
Speaker 3: Shit, it's going to be wild when the AI bubble

985
00:53:25,280 --> 00:53:29,719
Speaker 3: bursts and all the money goes to some other you know,

986
00:53:30,440 --> 00:53:33,560
Speaker 3: fat or Internet fat or whatever, and all these people

987
00:53:33,680 --> 00:53:37,880
Speaker 3: are left with these fucking dysfunctional relationships with these kids

988
00:53:37,880 --> 00:53:40,880
Speaker 3: that don't know how to talk to them anymore because

989
00:53:40,920 --> 00:53:45,080
Speaker 3: they've been telling them to consult their phones their entire lives.

990
00:53:45,440 --> 00:53:49,640
Speaker 1: Yeah, it's my God has like my favorite movie. That

991
00:53:49,800 --> 00:53:52,400
Speaker 1: have to be the first twenty minutes of Multiplicity. I

992
00:53:52,400 --> 00:53:55,440
Speaker 1: didn't didn't see any of the part where there's consequences

993
00:53:55,440 --> 00:53:57,680
Speaker 1: to him creating a bunch of different versions of himself.

994
00:53:57,719 --> 00:53:58,400
Speaker 1: And except for that.

995
00:54:00,280 --> 00:54:02,080
Speaker 2: Later ones kind of get wonky. We're the one that

996
00:54:02,200 --> 00:54:04,080
Speaker 2: just says tough over and over.

997
00:54:04,239 --> 00:54:07,360
Speaker 1: Didn't watch that. I just I like the idea, let's

998
00:54:07,640 --> 00:54:13,360
Speaker 1: let's keep it moving. Yeah, it's it totally right like that.

999
00:54:14,360 --> 00:54:16,120
Speaker 1: I have a seven year old and a nine year

1000
00:54:16,120 --> 00:54:19,719
Speaker 1: old and I there they ask a lot of questions,

1001
00:54:20,239 --> 00:54:24,400
Speaker 1: and their questions like make me see things new, like

1002
00:54:24,840 --> 00:54:27,200
Speaker 1: with fresh eyes, and I'm like, that is a thing

1003
00:54:27,239 --> 00:54:31,840
Speaker 1: that I had forgotten was really interesting and now you're like,

1004
00:54:32,080 --> 00:54:35,680
Speaker 1: and I get curious with them, and just the idea

1005
00:54:36,480 --> 00:54:39,319
Speaker 1: that he's like and once I throw once I kick

1006
00:54:39,360 --> 00:54:42,400
Speaker 1: it over to AI, they they tuck her out real quick.

1007
00:54:42,719 --> 00:54:44,880
Speaker 1: That might mean that like the AI is doing a

1008
00:54:44,880 --> 00:54:48,480
Speaker 1: bad job. He's like, and the AI is great because

1009
00:54:48,480 --> 00:54:51,520
Speaker 1: it extinguishes their curiosity real quick.

1010
00:54:52,920 --> 00:54:55,359
Speaker 2: And just the way we learn right, Like, yeah, there's

1011
00:54:55,360 --> 00:54:58,120
Speaker 2: so many college students that they've interviewed, who you've used

1012
00:54:58,160 --> 00:55:00,360
Speaker 2: AI to get through college, And well, I.

1013
00:55:00,360 --> 00:55:03,640
Speaker 7: Don't remember a single fucking thing because all my task

1014
00:55:03,800 --> 00:55:06,320
Speaker 7: was merely just figuring out the prompt to then copy

1015
00:55:06,360 --> 00:55:09,319
Speaker 7: and paste or slightly punch up for an assignment. I

1016
00:55:09,360 --> 00:55:13,080
Speaker 7: didn't retain the information because my relationship to the information

1017
00:55:13,200 --> 00:55:16,160
Speaker 7: is completely different. And like, I'm just thinking of like,

1018
00:55:16,200 --> 00:55:18,320
Speaker 7: as as a kid, I had all these like kids

1019
00:55:18,400 --> 00:55:22,080
Speaker 7: almanac books that were just filled with fucking dumb facts

1020
00:55:22,080 --> 00:55:25,480
Speaker 7: this shit and like weird, like it had everything from

1021
00:55:25,520 --> 00:55:27,799
Speaker 7: like what all the chevrons meant on like an army

1022
00:55:27,880 --> 00:55:31,760
Speaker 7: person's uniform, where like you know how a tornado comes together.

1023
00:55:31,840 --> 00:55:33,480
Speaker 1: And I would pore over.

1024
00:55:33,320 --> 00:55:35,719
Speaker 2: These books because I was like this is fucking cool

1025
00:55:35,719 --> 00:55:36,960
Speaker 2: to me, and it was like pick it was like

1026
00:55:37,040 --> 00:55:39,320
Speaker 2: made for kids or whatever. Yeah, but I'm just thinking

1027
00:55:39,360 --> 00:55:43,880
Speaker 2: of like that process for me, I internalized or I

1028
00:55:43,920 --> 00:55:46,799
Speaker 2: remembered so much of it because it felt like I

1029
00:55:46,840 --> 00:55:49,680
Speaker 2: could find something, I could connect the dots within these

1030
00:55:49,880 --> 00:55:52,440
Speaker 2: like set of books that I had. Yea, And when

1031
00:55:52,480 --> 00:55:54,440
Speaker 2: you just reduce it down to just being like, well,

1032
00:55:54,560 --> 00:55:56,680
Speaker 2: did you ask the magic question to the thing and

1033
00:55:56,719 --> 00:55:58,600
Speaker 2: what was the answer gave you. Okay, well then that's

1034
00:55:58,640 --> 00:56:02,400
Speaker 2: reality is like just such a fucking weird way to

1035
00:56:03,040 --> 00:56:05,600
Speaker 2: you know, accumulate these like life experiences that end up

1036
00:56:06,200 --> 00:56:07,239
Speaker 2: making you a podcaster.

1037
00:56:07,480 --> 00:56:07,680
Speaker 1: You know.

1038
00:56:09,440 --> 00:56:12,440
Speaker 3: Well it's this like optimize everything in your life mindset,

1039
00:56:12,520 --> 00:56:16,160
Speaker 3: right where everything is all about instrumentality, and like how

1040
00:56:16,200 --> 00:56:17,920
Speaker 3: can I get to the next stage, get to the

1041
00:56:17,960 --> 00:56:20,200
Speaker 3: next stage, get to the next stage where I will

1042
00:56:20,200 --> 00:56:24,960
Speaker 3: be infinitely rich? Right, But like sometimes you know, the

1043
00:56:25,000 --> 00:56:28,080
Speaker 3: way through life is to learn that the mitochondria is

1044
00:56:28,080 --> 00:56:29,600
Speaker 3: the powerhouse of the cell.

1045
00:56:30,200 --> 00:56:34,759
Speaker 1: Right right, and like enjoy that and sit in the

1046
00:56:34,920 --> 00:56:38,520
Speaker 1: curiosity around that and not just always kick things forward

1047
00:56:38,600 --> 00:56:43,040
Speaker 1: to you know, some pyramid scheme of like knowledge and

1048
00:56:43,480 --> 00:56:46,360
Speaker 1: earning capacity where like where, and then I'm going to

1049
00:56:46,440 --> 00:56:49,600
Speaker 1: turn that into an ability to optimize for this so

1050
00:56:49,640 --> 00:56:51,359
Speaker 1: that I can get richer and so my kids can

1051
00:56:51,360 --> 00:56:55,200
Speaker 1: get richer. And now I've got a powerhouse of capitalism

1052
00:56:55,239 --> 00:56:57,759
Speaker 1: working at home instead of being like, I don't know, man,

1053
00:56:57,960 --> 00:57:00,360
Speaker 1: maybe like enjoy spending time with your kids and like

1054
00:57:00,480 --> 00:57:01,920
Speaker 1: learn stuff from them.

1055
00:57:02,440 --> 00:57:05,439
Speaker 3: Right, it's wild to automate parenthood.

1056
00:57:05,160 --> 00:57:07,400
Speaker 1: Yeah, just completely cut out of that.

1057
00:57:07,719 --> 00:57:10,520
Speaker 2: Yeah, but I think that's just an escalation for I think,

1058
00:57:10,560 --> 00:57:14,839
Speaker 2: and it's also a reflection on how like exhausted people are,

1059
00:57:14,880 --> 00:57:18,040
Speaker 2: working parents can be. And I can totally see how

1060
00:57:18,080 --> 00:57:21,000
Speaker 2: intoxicating that the idea of being like I don't know,

1061
00:57:21,080 --> 00:57:24,040
Speaker 2: I fucking he do it, because I remember when people

1062
00:57:24,080 --> 00:57:26,040
Speaker 2: had Alexas in their home. Everyone's like, dude, it's great,

1063
00:57:26,080 --> 00:57:28,320
Speaker 2: we asked the Alexa stuff. But it was even then

1064
00:57:28,440 --> 00:57:30,160
Speaker 2: it was a thing that a parent would do with

1065
00:57:30,200 --> 00:57:33,640
Speaker 2: a kid, like I don't know, ask the fucking cone

1066
00:57:33,720 --> 00:57:37,400
Speaker 2: in the kitchen, right, Like that's just a fucking weird

1067
00:57:37,520 --> 00:57:40,520
Speaker 2: interaction to have. And I think, yeah, Like I think

1068
00:57:40,560 --> 00:57:42,160
Speaker 2: you bring this up Jack all the time about how

1069
00:57:42,200 --> 00:57:45,840
Speaker 2: evolutionarily speaking, like we've just in the last thirty years,

1070
00:57:45,840 --> 00:57:49,880
Speaker 2: we've just entered this space that's like accelerated at such

1071
00:57:49,880 --> 00:57:53,760
Speaker 2: a pace that the previous new millennia that have preceded it,

1072
00:57:54,120 --> 00:57:56,880
Speaker 2: like it just dwarfs in comparison, and we're suddenly like

1073
00:57:56,960 --> 00:58:00,960
Speaker 2: our hunter gatherer brain is like the can ask the

1074
00:58:01,080 --> 00:58:05,560
Speaker 2: cane if what's gravity? Like it's just yeah, it's so.

1075
00:58:05,840 --> 00:58:07,800
Speaker 1: And like this adds a layer on top where it's

1076
00:58:07,840 --> 00:58:10,880
Speaker 1: like I'm my dad is like subtly mad at me

1077
00:58:11,080 --> 00:58:15,000
Speaker 1: if I don't ask the cone right, It's like frank Man,

1078
00:58:15,320 --> 00:58:19,640
Speaker 1: h Like, so that sends me in a direction where

1079
00:58:19,680 --> 00:58:25,200
Speaker 1: like my instinct is to just like avoid emotionally connecting

1080
00:58:25,280 --> 00:58:29,040
Speaker 1: with the person and instead just optimize my ability to

1081
00:58:29,160 --> 00:58:31,320
Speaker 1: use AI to find the information.

1082
00:58:32,280 --> 00:58:34,400
Speaker 3: It's like, oh, man, the way to get dad to

1083
00:58:34,600 --> 00:58:37,640
Speaker 3: like me is to ask the phone things.

1084
00:58:38,040 --> 00:58:42,320
Speaker 2: Yeah, right, which is wild. This would be fucked up.

1085
00:58:42,440 --> 00:58:46,520
Speaker 1: We're talking about this in an in an ideal world

1086
00:58:46,560 --> 00:58:50,000
Speaker 1: where AI like actually works, and like, right, toci as

1087
00:58:50,040 --> 00:58:52,840
Speaker 1: you brought up the first place, like we just have.

1088
00:58:53,600 --> 00:58:56,160
Speaker 1: We just had like the person who is like the

1089
00:58:57,040 --> 00:59:00,400
Speaker 1: icon of like tech smart guy and Elon Musk release

1090
00:59:00,440 --> 00:59:03,919
Speaker 1: an AI chatbot on his company that he spent forty

1091
00:59:03,920 --> 00:59:08,520
Speaker 1: four billion dollars on that immediately just went to Mecca

1092
00:59:08,640 --> 00:59:12,920
Speaker 1: Hitler on on the world like that. That is where

1093
00:59:12,960 --> 00:59:15,840
Speaker 1: we're at with this, And this guy is like, yeah,

1094
00:59:15,880 --> 00:59:19,520
Speaker 1: so I mean it's a perfect solution. Yeah, I'd let

1095
00:59:19,520 --> 00:59:20,480
Speaker 1: that around my kids.

1096
00:59:20,560 --> 00:59:20,960
Speaker 2: Yeah what.

1097
00:59:23,720 --> 00:59:27,320
Speaker 1: Jesus Well, Tochi, it's been such a pleasure having to

1098
00:59:27,600 --> 00:59:31,840
Speaker 1: on the daily Zeitgeist. People find you, follow you, read

1099
00:59:31,920 --> 00:59:32,960
Speaker 1: you all that good stuff.

1100
00:59:33,720 --> 00:59:36,920
Speaker 3: Y'all can find me on Blue Sky at Tochi true story,

1101
00:59:36,960 --> 00:59:39,760
Speaker 3: y'all can find me on the gram at Trey sixty four,

1102
00:59:39,840 --> 00:59:42,160
Speaker 3: that is t R e i z E sixty four.

1103
00:59:42,480 --> 00:59:46,320
Speaker 3: I also am a substack degenerate. You can find me

1104
00:59:46,600 --> 00:59:52,040
Speaker 3: at toch dot substack dot com, my website Tochyo YbI

1105
00:59:52,040 --> 00:59:56,400
Speaker 3: dot com. And I have two books out this year.

1106
00:59:56,480 --> 00:59:59,880
Speaker 3: The first Harmiton Season is a fantasy noir that dropped

1107
01:00:00,200 --> 01:00:03,280
Speaker 3: May available everywhere books are sold. And I have an

1108
01:00:03,360 --> 01:00:08,160
Speaker 3: upcoming essay collection, Race Book, a Personal History of the Internet,

1109
01:00:08,320 --> 01:00:11,800
Speaker 3: out on October twenty first, twenty twenty five.

1110
01:00:12,640 --> 01:00:17,240
Speaker 1: Amazing. Is there a work of media that you've been enjoying?

1111
01:00:18,000 --> 01:00:22,040
Speaker 3: Oh my goodness, So I'm about to So this might

1112
01:00:22,080 --> 01:00:23,880
Speaker 3: be cheating a little bit, but I know I'm going

1113
01:00:23,960 --> 01:00:26,200
Speaker 3: to enjoy it because I enjoyed the first part of

1114
01:00:26,240 --> 01:00:28,040
Speaker 3: it so much. I'm about to jump into and Or

1115
01:00:28,080 --> 01:00:33,120
Speaker 3: season two late. But like I am, super super super high,

1116
01:00:33,320 --> 01:00:36,440
Speaker 3: Like I just Tony Gilroy is the goat. I've loved

1117
01:00:36,520 --> 01:00:38,920
Speaker 3: him ever since. Michael Clayton. Shout out to Michael Clayton,

1118
01:00:39,560 --> 01:00:42,040
Speaker 3: I yeah, no, I can't wait. I cannot wait.

1119
01:00:42,080 --> 01:00:44,200
Speaker 1: We referenced Michael Clayton a lot on this podcast.

1120
01:00:44,360 --> 01:00:49,680
Speaker 2: Great Assassination See the assassination scene in and Or they

1121
01:00:49,720 --> 01:00:51,600
Speaker 2: just have that scenes like wait, this is the Michael

1122
01:00:51,640 --> 01:00:58,840
Speaker 2: Clayton assassination scene. Clothes, get the socks off, get the socks.

1123
01:00:58,560 --> 01:01:03,800
Speaker 1: Off, get the site for the watch back. Yeah, we

1124
01:01:03,920 --> 01:01:10,400
Speaker 1: literally referenced it on yesterday's episode. So you literally made

1125
01:01:10,400 --> 01:01:12,640
Speaker 1: a reference yesterday. So chilling.

1126
01:01:13,760 --> 01:01:16,600
Speaker 2: It's so fucking clinical, it really is.

1127
01:01:16,800 --> 01:01:19,360
Speaker 1: It. Also, I feel like we all suspect that's happening

1128
01:01:19,400 --> 01:01:22,680
Speaker 1: behind the scenes, right, like corporate corporations being like this guy,

1129
01:01:23,000 --> 01:01:25,680
Speaker 1: we have one thing standing in the way of our

1130
01:01:25,760 --> 01:01:30,520
Speaker 1: shareholders getting millions and millions of dollars rich or like

1131
01:01:30,760 --> 01:01:31,760
Speaker 1: something needs to be done.

1132
01:01:31,840 --> 01:01:33,520
Speaker 2: Yeah, you know, well, because it's also that kind of

1133
01:01:33,520 --> 01:01:36,680
Speaker 2: thing like me as like an action movie brained like

1134
01:01:37,120 --> 01:01:40,560
Speaker 2: weed smoking college and like, yeah, dude, exactly, Bro. They're

1135
01:01:40,560 --> 01:01:42,640
Speaker 2: gonna come in so fucking quick, dude, and you're not

1136
01:01:42,640 --> 01:01:44,600
Speaker 2: gonna fucking know, bro, And they make it look like

1137
01:01:44,600 --> 01:01:45,120
Speaker 2: an accent.

1138
01:01:45,120 --> 01:01:49,200
Speaker 1: That's how it all happens. Du that's right, y Yeah, yeah,

1139
01:01:49,560 --> 01:01:52,600
Speaker 1: all right, well, Yeah, I've also heard great things about

1140
01:01:52,600 --> 01:01:54,360
Speaker 1: and Orra. I need to seen the.

1141
01:01:54,320 --> 01:01:57,520
Speaker 3: First season, yes, and loved it. Some of the best

1142
01:01:57,520 --> 01:02:00,560
Speaker 3: TV idea ever seen. And yeah, and I've seen a

1143
01:02:00,560 --> 01:02:00,880
Speaker 3: lot of.

1144
01:02:00,800 --> 01:02:02,000
Speaker 1: Teams Jack, watch it with your kids.

1145
01:02:02,040 --> 01:02:03,280
Speaker 2: They like Star Wars, you better get.

1146
01:02:03,200 --> 01:02:06,280
Speaker 1: Them in on that revolutionary I feel like I feel

1147
01:02:06,280 --> 01:02:09,080
Speaker 1: like there might be too much death. I tried. I

1148
01:02:09,120 --> 01:02:13,520
Speaker 1: tried Jurassic Park with them, on the recommendation of a

1149
01:02:13,600 --> 01:02:17,480
Speaker 1: parent who had talked it over with Chat GPT. Oh no,

1150
01:02:17,720 --> 01:02:21,040
Speaker 1: I think we're ready for for Jurassic Park. They made

1151
01:02:21,080 --> 01:02:24,320
Speaker 1: it like one minute in and we're like, did that

1152
01:02:24,400 --> 01:02:26,400
Speaker 1: guy just die? No?

1153
01:02:26,400 --> 01:02:27,640
Speaker 2: No, no, he was just dancing.

1154
01:02:27,680 --> 01:02:29,360
Speaker 1: That's why he got up off the ground like that.

1155
01:02:29,640 --> 01:02:33,280
Speaker 3: Yeah, catch up baby, Yeah yeah yeah.

1156
01:02:33,600 --> 01:02:36,080
Speaker 1: My nine year old literally reprimanded me. He was like,

1157
01:02:36,160 --> 01:02:42,720
Speaker 1: why would you think this is okay? I blame chat GPT,

1158
01:02:42,920 --> 01:02:48,120
Speaker 1: you waste man. But yeah, as soon as they're old enough,

1159
01:02:48,160 --> 01:02:49,200
Speaker 1: we're gonna we're gonna play.

1160
01:02:49,640 --> 01:02:51,920
Speaker 2: Just read them a story about like Tucson Lovature or

1161
01:02:51,960 --> 01:02:55,720
Speaker 2: something like that. Yeah, get them like this is why,

1162
01:02:55,800 --> 01:02:58,520
Speaker 2: this is why he is still going to still suffering

1163
01:02:58,600 --> 01:03:01,400
Speaker 2: for a minute. Thes give them at least some flavor

1164
01:03:01,400 --> 01:03:01,960
Speaker 2: of vam foord.

1165
01:03:02,040 --> 01:03:03,000
Speaker 1: Yeah, yeah, a little bit.

1166
01:03:03,680 --> 01:03:05,720
Speaker 3: If you don't have your kids calling you comrade by

1167
01:03:05,800 --> 01:03:07,320
Speaker 3: like age five, Yeah, I don't.

1168
01:03:07,120 --> 01:03:08,000
Speaker 2: Know what you fucked up.

1169
01:03:08,120 --> 01:03:10,880
Speaker 1: Yeah, I'm fucking up miles Where can people find you

1170
01:03:10,880 --> 01:03:12,600
Speaker 1: as their working media you've been enjoying?

1171
01:03:12,680 --> 01:03:16,320
Speaker 2: Yeah, you find me everywhere at miles of gray, including well,

1172
01:03:16,400 --> 01:03:20,040
Speaker 2: I say, PlayStation network. But I got that repetition injury, okay,

1173
01:03:20,080 --> 01:03:21,440
Speaker 2: because the Division.

1174
01:03:21,040 --> 01:03:23,800
Speaker 7: Two expansion for a game I've been playing for seven

1175
01:03:23,880 --> 01:03:26,880
Speaker 7: years came out and I have to stop and.

1176
01:03:26,840 --> 01:03:28,360
Speaker 2: Shout out to somebody on Blue Sky who are I

1177
01:03:28,360 --> 01:03:30,360
Speaker 2: think Baby's Instagram who said they were also feeling the

1178
01:03:30,440 --> 01:03:33,439
Speaker 2: repetition injury because you had a sewing injury. Exactly why

1179
01:03:33,680 --> 01:03:37,320
Speaker 2: sewing injury? Damn the repetition of doing? Why Why do

1180
01:03:37,400 --> 01:03:40,040
Speaker 2: the things we love not give us mutant strength in

1181
01:03:40,120 --> 01:03:42,080
Speaker 2: that one very specific way that.

1182
01:03:42,160 --> 01:03:44,720
Speaker 1: Just gets stronger and faster with the needle exactly.

1183
01:03:45,600 --> 01:03:47,960
Speaker 2: Watched the ship on fucking no Look exactly. That's how

1184
01:03:47,960 --> 01:03:50,480
Speaker 2: I know there is no God. Now let's see a

1185
01:03:50,480 --> 01:03:52,840
Speaker 2: couple posts I like. The first one is from at

1186
01:03:52,960 --> 01:03:56,400
Speaker 2: Matt Zohler sites dot Besky dot social uh, and it's

1187
01:03:56,440 --> 01:03:59,880
Speaker 2: a photo of like a like a parking Kioska display.

1188
01:04:00,280 --> 01:04:03,080
Speaker 2: It says please pay displayed him out five USD. Change

1189
01:04:03,120 --> 01:04:05,920
Speaker 2: is possible, and they put I appreciate the optimism of

1190
01:04:05,960 --> 01:04:13,080
Speaker 2: this parching validation change is possible. And also, doctor Eric

1191
01:04:13,120 --> 01:04:16,000
Speaker 2: Farmer posted on Blue Sky. If the DOJ really has

1192
01:04:16,080 --> 01:04:18,720
Speaker 2: nothing on Epstein, why was he in prison? And why

1193
01:04:18,800 --> 01:04:21,720
Speaker 2: was Gallayne Maxwell convicted and sentenced more harshly than some

1194
01:04:21,840 --> 01:04:23,480
Speaker 2: murderers and insurrectionists.

1195
01:04:23,680 --> 01:04:26,439
Speaker 1: It is so weird, I don't. I mean, I'm sure

1196
01:04:26,440 --> 01:04:28,040
Speaker 1: there's a logical explanation for all.

1197
01:04:28,080 --> 01:04:30,840
Speaker 2: I mean, there's a client list, but who's Prince Andrew?

1198
01:04:33,160 --> 01:04:35,120
Speaker 2: What is that? What is that? Just like a okay,

1199
01:04:35,120 --> 01:04:37,720
Speaker 2: does ops list? Is that?

1200
01:04:37,760 --> 01:04:38,360
Speaker 1: What it is that?

1201
01:04:38,520 --> 01:04:41,680
Speaker 2: Yeah? Okay, fine, whatever, whatever you're saying, whatever you say.

1202
01:04:42,320 --> 01:04:45,760
Speaker 1: Work a media. I've been enjoying. Ben Collins just tweeted

1203
01:04:45,800 --> 01:04:48,120
Speaker 1: from the Onion. He's the head of the Onion it

1204
01:04:48,240 --> 01:04:53,920
Speaker 1: only Tuesday yesterday, which one of my favorite Onion headlines

1205
01:04:54,000 --> 01:04:57,160
Speaker 1: that after running a thousand errands working hours of overtime,

1206
01:04:57,240 --> 01:05:00,680
Speaker 1: being stuck in seemingly endless gridlock, traffic, muting too and

1207
01:05:00,760 --> 01:05:03,400
Speaker 1: from their jobs, millions of Americans were disheartened to learn

1208
01:05:03,440 --> 01:05:05,280
Speaker 1: that it was in fact only Tuesday.

1209
01:05:07,280 --> 01:05:08,240
Speaker 2: Yeah. Good.

1210
01:05:08,280 --> 01:05:12,160
Speaker 1: Following blue Sky, you can find me on Twitter at

1211
01:05:12,200 --> 01:05:15,440
Speaker 1: Jack Underscore Obrian, blue Sky at Jack ob the Number one.

1212
01:05:16,200 --> 01:05:18,439
Speaker 1: You can find us on Twitter and blue Sky at

1213
01:05:18,600 --> 01:05:23,560
Speaker 1: Daily Zeitgeist. We're at the Daily Zeitgeist on Instagram. You

1214
01:05:23,560 --> 01:05:26,320
Speaker 1: can go to the episode description wherever you're listening to this,

1215
01:05:27,080 --> 01:05:30,000
Speaker 1: and there you will find the Footnope No, which is

1216
01:05:30,040 --> 01:05:32,440
Speaker 1: where we link off to the information that we talked

1217
01:05:32,440 --> 01:05:35,400
Speaker 1: about in today's episode. We also link off to a

1218
01:05:35,480 --> 01:05:37,480
Speaker 1: song that we think you might enjoy. Miles, is there

1219
01:05:37,480 --> 01:05:39,280
Speaker 1: a song that you think that people might enjoy?

1220
01:05:39,600 --> 01:05:43,200
Speaker 2: Yeah, Bro, there's some UK garage in it. This is

1221
01:05:43,360 --> 01:05:48,080
Speaker 2: keeping you close by Halogenix, but the Tesco remix c

1222
01:05:48,160 --> 01:05:52,040
Speaker 2: E Sco. This shit's a fuck. It's just it's minimal.

1223
01:05:52,160 --> 01:05:56,000
Speaker 2: But the fucking basinth is nice. This is the kind

1224
01:05:56,000 --> 01:05:57,640
Speaker 2: of stuff you want to play. This is the time

1225
01:05:57,680 --> 01:06:01,440
Speaker 2: I wish I had real sound system in my dad car,

1226
01:06:02,440 --> 01:06:05,240
Speaker 2: but man, this is Look. If someone's got a spare

1227
01:06:05,320 --> 01:06:07,040
Speaker 2: fifteen at subwoofer that could put in my trunk, let

1228
01:06:07,080 --> 01:06:08,080
Speaker 2: me know. I'll come pick it up.

1229
01:06:08,560 --> 01:06:12,840
Speaker 1: Hallo Jenic is a great name. I'm enjoy that all right.

1230
01:06:13,000 --> 01:06:14,919
Speaker 1: The Daily Zye Guy is a production by Heart Radio.

1231
01:06:14,920 --> 01:06:16,800
Speaker 1: For more podcast from my heart Radio, visit the iHeart

1232
01:06:16,880 --> 01:06:19,040
Speaker 1: Radio app, Apple podcast, or wherever you listen to your

1233
01:06:19,080 --> 01:06:21,360
Speaker 1: favorite shows, that is going to do it for us

1234
01:06:21,440 --> 01:06:24,240
Speaker 1: this morning, back this afternoon to tell you what is trending,

1235
01:06:24,280 --> 01:06:26,920
Speaker 1: and we will talk to you all done. Bye bye peace.

1236
01:06:27,640 --> 01:06:30,560
Speaker 2: The Daily zeit Guys is executive produced by Catherine Long.

1237
01:06:30,720 --> 01:06:34,680
Speaker 1: Co produced by Bee Wang, co produced by Victor Wright,

1238
01:06:35,120 --> 01:06:35,240
Speaker 1: co

1239
01:06:35,320 --> 01:06:39,840
Speaker 7: Written by J M mcnapp, edited and engineered by Justin Connor,