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Speaker 1: Hello, ram By, Yeah, all right, bye, what it's like

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Speaker 1: to work on this show?

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Speaker 2: Hello By?

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Speaker 3: Yeah, Hello ram By?

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Speaker 2: Hello Andrew? Hello, then Andrew.

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Speaker 3: You what happened to you? Guys?

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Speaker 2: Are you doing that? You're just pushed us over the brink?

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Speaker 3: Not that bye, Oh, I've got terrible sleep deprivation, man,

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Speaker 3: sleep deprivation, Andrew. It's CIA Black site levels. Mate, Maybe

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Speaker 3: not maybe not that bad. Maybe not in a CIA

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Speaker 3: Black site. Ah. Man, this is wonderful energy to come

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Speaker 3: into hold.

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Speaker 1: I'm so I'm in a state of delirium from lack

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Speaker 1: of sleep over the the last I have like accumulated

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Speaker 1: maybe five hours of sleep since.

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Speaker 4: Fuck, wait, what happened? My fucking kids? My fucking baby

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Speaker 4: stein his crib.

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Speaker 3: So we had to get the dang we had to

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Speaker 3: get the tottle the bed out for him, tot the

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Speaker 3: bed out for him, and he just escapes the bloody thing.

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Speaker 1: Yeah, it's just like he's just so free now. But

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Speaker 1: also like this is all part of his development. He's

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Speaker 1: now fully in that thing.

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Speaker 2: And I liked can fly and he's just.

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Speaker 3: Like, what are you doing? What's that? What's that? Yeah,

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Speaker 3: it's just fucking it's crazy over here. Yeah, all right,

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Speaker 3: let's do this.

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Speaker 2: Okay, Yeah, well I was just that's not not a typical.

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Speaker 3: Well, not that I were screaming at Bay. There's a

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Speaker 3: lot of.

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Speaker 2: Insane super cut of accent, I think, just all the

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Speaker 2: dumb accents, all right, damn Bay? And then Andrew asking

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Speaker 2: why are energy? Yeah, he doesn't need to be a

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Speaker 2: typical Yeah, not a typical week, not a typical show.

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Speaker 3: Yeah, I don't go. I don't have much in the tank, man,

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Speaker 3: That's pretty much all I can give you A the tank.

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Speaker 3: I'm Hank the fucking tank right.

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Speaker 2: Now, the famous Hank the tank.

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Speaker 3: Yeah, it's me, Hank the Hank Engine, Thomas, the Hank Engine.

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Speaker 2: Is that a thing?

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Speaker 3: Can we use that?

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Speaker 2: I have nothing in the tank? Two? Is that a thing?

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Speaker 2: I think feels like a call?

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Speaker 3: Though I have nothing in the tank too? Is that

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Speaker 3: a thing?

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Speaker 2: Pipeline Hell, the Internet and welcome in ninety three, Episode

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Speaker 2: four of Daredey's Guys. It's a production of iHeart Radio.

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Speaker 2: It's a podcast where we take a deep down to America,

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Speaker 2: share countess and it is Thursday, June nineteenth, twenty twenty five. Yes,

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Speaker 2: it's Junete. Hey.

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Speaker 1: Unless you're corporate America, then it's just Thursday, the nice Thursday.

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Speaker 2: We're off. We're off obviously, so no episode tomorrow, episode exactly.

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Speaker 3: That's where we went.

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Speaker 1: But yeah, again, if you don't know what you should know,

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Speaker 1: fucking Juneteenth this, I'm not here to fuck it.

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Speaker 3: If you don't know, come on now, educate yourself.

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Speaker 1: And it's also World Sauntering Day, which feels like aggressive

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Speaker 1: to juxtaposteenth with being like, hey, why.

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Speaker 3: Do you just take like a casual, fancy.

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Speaker 2: Free walk on this day and then like the best

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Speaker 2: description of the gate of the the slave owners sauntering around? Yeah,

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Speaker 2: you know, oh my god, day for sauntering, it says,

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Speaker 2: slow down.

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Speaker 3: In fact, try mosying around on June nineteen. All right,

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Speaker 3: oh whoa, whoa, whoa, whoa. Yeah, I thought MOSI Day

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Speaker 3: was coming out of violence. Yeah, I know, I know,

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Speaker 3: I know, I know.

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Speaker 1: Anyway, we see you shout out black people, shout out,

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Speaker 1: you know, freedom for the moment, for the moment, for the.

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Speaker 2: Moment, as my favorite freedom fighter Mel Gibson once said,

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Speaker 2: you know, yeah, all right, my name is Jack O'Brien aka,

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Speaker 2: we start World War three. I got it in Yahoo

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Speaker 2: with me. We start World War three. Congress they can

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Speaker 2: suck on my peen one courtesy of Nick cepper Tyrannis

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Speaker 2: Nick Simper Tyrannis on the discord. A bit of the

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Speaker 2: Nick temper Tyrannis on the discord, I think written from

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Speaker 2: the perspective of h I don't know one Donald Trump, Yeah,

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Speaker 2: g Vance, m h yeah, this is this was the

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Speaker 2: fear all along imp the dipshit in there. He's gonna

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Speaker 2: start World War three because somebody was like mean to him,

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Speaker 2: because we did a protest. Those mean to him and

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Speaker 2: He's like, oh yeah, check this ship out.

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Speaker 3: I'm weir right now out. Yeah you think I'm baby.

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Speaker 2: Anyways, I'm thrilled to be joined as always by my

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Speaker 2: co host, mister Miles Gray.

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Speaker 3: Miles Great, the showgun with no gun, the most sleep

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Speaker 3: deprived dude in the San Fernando Valley at the moment,

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Speaker 3: I do want to shout out all that gang who's

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Speaker 3: reached out through many channels on social media. If someone

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Speaker 3: even posted, like I saw a thing on Reddit where

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Speaker 3: people were trying to give you advice, baby, like I

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Speaker 3: love that gang. Thank you so much.

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Speaker 2: Training for Miles.

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Speaker 3: Yeah yeah, yeah, so again, thank you, thank you for

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Speaker 3: all the tips. I'm still in the trenches as it were.

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Speaker 2: But I will say overwhelmingly they seem to be give

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Speaker 2: give the baby a weed gummy, and I just I

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Speaker 2: feel like that's not.

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Speaker 3: I think we should we should knock that show encouraged

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Speaker 3: child abuse. Yeah, yeah, yeah, I'm not going to do that,

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Speaker 3: but I am doing. Look, there have been many variations

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Speaker 3: on like just just kind of hit just fucking hang

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Speaker 3: out a little bit, they fall asleep. I've been trying

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Speaker 3: to that, but then he does a thing Jack like

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Speaker 3: you said your kid did the second I shift.

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Speaker 2: The weight where you go where you.

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Speaker 5: Man?

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Speaker 3: Oh, yeah, it's it's it's wild, but we're We're I'm

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Speaker 3: finding a balance. It's wild.

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Speaker 1: I also I get so clear in the middle of

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Speaker 1: the night where I'm like barely asleep, I'm like sort

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Speaker 1: of this like lucid state where a lot of really

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Speaker 1: too bad ideas come to my mind that I that

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Speaker 1: I think will make a good cold open. And they

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Speaker 1: don't try to start night podcasting, just keep a little

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Speaker 1: just whisper night casting.

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Speaker 3: Baby still won't sleep. Hey man, you got something to say,

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Speaker 3: You got something to say that you don't go fuck?

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Speaker 2: Yeah, man, I had something to say. I'm also a

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Speaker 2: little sleep deprepped, so I had a thing to say

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Speaker 2: that left my brain.

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Speaker 3: I'm gonna tell you guys this. I feel great.

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Speaker 2: I got plenty of sleep.

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Speaker 3: Yeah, at least, look one out of three ain't bad.

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Speaker 2: So that's right.

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Speaker 3: I'm well rested, but under prepared. Don't worry.

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Speaker 1: I'm gonna tap into some then I'm tapping into something

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Speaker 1: to keep this show fucking elevator.

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Speaker 3: Let's fucking go. Yeah.

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Speaker 2: Oh, I remember what I was gonna say. I remember

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Speaker 2: this period of my life when my life constantly my

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Speaker 2: life shout out to Mela delirious, having a new found

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Speaker 2: appreciation for the drugs that your brain like dumps into

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Speaker 2: your bloodstream as you're falling asleep, you know, like that

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Speaker 2: that lucid clarity where you just like get to know

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Speaker 2: sleep a little bit better because you're kind of constantly

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Speaker 2: like in and out of it, you know. And then

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Speaker 2: like that was the first time I had a real appreciation.

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Speaker 2: It's like, oh, like all the drugs that we do

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Speaker 2: are just like trying to get back to what is, yeah,

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Speaker 2: what our brain naturally does for us, where it's just

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Speaker 2: like and you're high, like that's what dreams are. It's

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Speaker 2: just like you are so high right now and floating

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Speaker 2: away on a stream of brain chemicals. Enjoy. Does that

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Speaker 2: make sense?

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Speaker 6: Well, because because the drugs don't create the chemical, they're

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Speaker 6: just squeezing it out.

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Speaker 2: Give your brain. I don't think.

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Speaker 3: Yeah, it's not that M D M A I'm looking for.

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Speaker 3: I needed to squeeze all the Sarah Tonin and neurot

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Speaker 3: out of my.

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Speaker 6: Brain and then I whoa, Right, I just said the

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Speaker 6: most freshman in college version of realizing how drugs were

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Speaker 6: so Having taken the bog hit, I am now philosophizing the.

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Speaker 2: Freshman in college bung hit. Like first bung hit conversations

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Speaker 2: are vastly underrated. That's that's the good stuff, that's yours.

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Speaker 3: If you could just be like, bro, we've taped like

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Speaker 3: it is. That's what this is, all right, that's true.

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Speaker 3: That's the level I operate after. I don't like I

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Speaker 3: don't like podcasts where people know ship.

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Speaker 2: Yeah, it's literally in the like crazy idea I had

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Speaker 2: well looking at a pink Floyd poster.

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Speaker 1: Yeah yeah, And for me it's wild reckless speculation.

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Speaker 2: That's right, quick thing. A bunch of new listeners for

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Speaker 2: some reason, maybe the dissolution of the mainstream media impending fascism.

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Speaker 2: But hi, welcome and uh yeah, if people like the show,

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Speaker 2: rate review it, tell your friend about it.

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Speaker 3: Got help, Thanks for thanks for listening. Yeah, thank you

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Speaker 3: to a chance on this group.

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Speaker 2: Of Thanks for taking right now.

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Speaker 3: It's also conversation.

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Speaker 2: It's just like so volatile, didn't you Miles were thrilled

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Speaker 2: to be joined in the third our third seat, but

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Speaker 2: one of our favorites, one of the very faces on

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Speaker 2: Mount Zite wore a hilarious and brilliant producer, TV writer

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Speaker 2: you know from the Yos This racist podcast one of

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Speaker 2: the all time great podcasts. Yeah, it's Andrew to and.

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Speaker 3: I didn't refer to Ka Ta, but normally I will

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Speaker 3: say this, I usually plug it in quite a bit

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Speaker 3: of effort trying to come up with a song.

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Speaker 6: I did peruse briefly the Discord. New listeners, go check

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Speaker 6: out the Discord. Still more pissed talk than I would

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Speaker 6: have thought.

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Speaker 2: Yeah, no, you gave them a nice talking to the

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Speaker 2: last time you were on, you were like, go to

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Speaker 2: the AKA thing. They took that as like a personal challenge,

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Speaker 2: which I kind of respect, where they're just like yeah,

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Speaker 2: oh yeah. They called out the fact that three years,

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Speaker 2: probably longer. Four years after Jack told this anecdote, we're

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Speaker 2: still just writing lyrics about his pants and pretending of

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Speaker 2: his water ice. We're gonna do that even more.

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Speaker 6: Yeah, yeah, sorry, I'm just okay. Next time I'm on

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Speaker 6: the show, my mission will be to tell a personal,

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Speaker 6: bodily fluid anecdote extremity, even more extremity that.

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Speaker 2: It doesn't need to be more. Yeah, although it is

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Speaker 2: pretty unextreme, because I'm pretty sure pissed my pants. I'm

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Speaker 2: pretty sure it was, just like.

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Speaker 3: Yours is the lowest song of embarrassing thing.

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Speaker 2: I just think we could beat it. I just think

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Speaker 2: we could beat it.

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Speaker 6: I'm the throne I'm gutting for is relentless inside joke

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Speaker 6: on the ak.

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Speaker 2: Impenetrable akhe I'm pretty sure. I like, I know for

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Speaker 2: a fact, I can be. There are plenty of story, embarrassing,

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Speaker 2: humiliating stories from my life that I just haven't told yet.

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Speaker 2: So it's we're we're dulling these out.

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Speaker 5: This is.

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Speaker 2: An arm right, man. When I was drinking too much, boy,

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Speaker 2: oh boy, did I do some humiliating things. Folks. You'll

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Speaker 2: find out about that in the years to come, I know,

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Speaker 2: not not me. Anyway, really great new listeners material. This

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Speaker 2: is impenetrable. Lare inside jokes. That's right, That's that's what

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Speaker 2: we're here for.

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Speaker 6: Wonderful, Welcome to the show.

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Speaker 3: Welcome, and now get the fuck out of here.

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Speaker 2: Andrew. We're thrilled to have you. We're going to get

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Speaker 2: to know you a little bit better in a moment. First,

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Speaker 2: we're going to tell the listeners a couple of the

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Speaker 2: things that we're talking about. Uh, we're going to just

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Speaker 2: take a look at the general state of the world.

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Speaker 2: How you know, we're seeing some bad things happen, and

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Speaker 2: we're generally not good at looking running the tape back

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Speaker 2: to see where that where those bad things from.

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Speaker 3: Yep.

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Speaker 2: But we're gonna we're gonna look at a couple the

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Speaker 2: two big ones, Yeah, the Ice Raids and the war

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Speaker 2: with Iran, the war being waged on Iran.

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Speaker 3: Yeah, we're gonna look at both of those situations and

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Speaker 3: whether the US had anything to do with.

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Speaker 1: The anything to do anything, anything at all, probably anything

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Speaker 1: at all.

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Speaker 2: Yeah, we're just here. Things are happening to us.

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Speaker 3: Not the American boomerang striking us right in the face again, camp, Yeah,

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Speaker 3: at this time.

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Speaker 2: So we'll talk about that. We'll also talk about why

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Speaker 2: we like Tucker Carlson. Now, no that's not true, but Carlson,

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Speaker 2: Welcome to the Resistance. Won't know how many times I've

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Speaker 2: seen that tweeted. Now I'm one of our new listeners. Yeah,

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Speaker 2: come to brunch. Now the live cookout is brunch. We

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Speaker 2: need these people that the cookout. But the people who

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Speaker 2: say talker Carls and welcome to brunch, I know exactly.

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Speaker 2: We need the If Kama led one, we'd all be

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Speaker 2: at brunch right now. We need them, We need them

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Speaker 2: to watch to wide tent. I don't have to like them, though,

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Speaker 2: and I'm going to talk med ship about them and

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Speaker 2: you can.

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Speaker 3: But look, we got to say focus man, it's about.

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Speaker 2: We'll talk about that. There's some there's an article in

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Speaker 2: the New York Times just talking just giving some anecdotes

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Speaker 2: and then some research about how people are interacting with chat,

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Speaker 2: GPT and large large language models. That pretty fine, pretty wild.

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Speaker 2: I'm always skeptical about these because I remember an era

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Speaker 2: when the mainstream media was just combing the crime blodder

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Speaker 2: for any crime that was committed that was in any

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Speaker 2: way tangentially related to either video games or internet chat

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Speaker 2: rooms would be like chat room murder, you know, like

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Speaker 2: and so I don't want to fall into that. On

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Speaker 2: the other hand, this stuff is pretty unique to chat,

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Speaker 2: GBT and AI, and it's it's.

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Speaker 6: Worked over ahead a little bit. I don't think it

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Speaker 6: is man. People don't fucking Eliza in the nineties.

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Speaker 2: That's true. Yeah, I think we're just what we're like.

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Speaker 2: They are nonetheless very entertaining.

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Speaker 1: I don't encouraging you to do harm to yourself, which

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Speaker 1: in a lot of cases which.

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Speaker 2: It is not entertaining. And Ozzy Osbourne's DNA you can

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Speaker 2: go buy that, uh fortunately just to saliva. Ah.

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Speaker 3: No, it's fine. Whatever you find under your.

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Speaker 2: Canail, your come Ozzy Osbourne.

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Speaker 3: Yeah, Ozzy Osbourne. It's just what. He doesn't even have

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Speaker 3: DNA at this point. I'm pretty sure he's like this.

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Speaker 2: Household, we believe.

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Speaker 3: Give me your Ozzie Osbourne.

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Speaker 2: All right, Andrew, welcome new listeners, all of that plenty more.

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Speaker 6: I feel like you guys took this as a challenge

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Speaker 6: as much as.

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Speaker 3: You know, all my ship is going to be weird

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Speaker 3: and dumb.

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Speaker 2: Yeah, so good, so perfect.

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Speaker 3: Strap in, strap in assholes, Uh.

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Speaker 2: Andrew with something from your search history that's revealing about

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Speaker 2: who you are.

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Speaker 6: I started, Uh, I guess the best way to say

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Speaker 6: this is, is it like best this This is just

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Speaker 6: an amalgamation of quite a long couple of minutes of searching,

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Speaker 6: but best container for steaming vegetables in a microwave. I've

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Speaker 6: become a microwave steaming motherfucker.

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Speaker 3: Oh wow, steam and Willie Beamon over here exactly.

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Speaker 6: I visited my sister who is like a new Ish mom,

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Speaker 6: and she's just like, chop up the broccoli, put it

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Speaker 6: in the fucking microwave.

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Speaker 3: Let's to learn a lesson about a ficiency. So good.

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Speaker 6: Yeah, it really like I was like, oh, this is

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Speaker 6: fucking honestly amazing.

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Speaker 3: And I just wanted to make sure.

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Speaker 6: I don't know, I feel like I'm like like definitively

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Speaker 6: like barn door after the microplastics have like deeply invaded

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Speaker 6: my brain already. But I got like cold feet about

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Speaker 6: the vessel I was using a microwave.

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Speaker 3: My vegetables did, so I had to I had to

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Speaker 3: go down that rabbit hole a little bit.

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Speaker 6: But yeah, it's been mostly saran wrap and with my yeah,

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Speaker 6: glass bole.

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Speaker 2: That's because it does it every time. That works for me. Yeah, yeah,

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Speaker 2: I use.

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Speaker 3: A milar balloon usually.

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Speaker 2: Good. I actually use card going out every time. I

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Speaker 2: created a bowl out of just pure Scotch guard. I like,

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Speaker 2: you put my hand in a bowl shape and sketch

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Speaker 2: guard the inside of my hands like a little bowl

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Speaker 2: and that's oh my god, that's beautiful. And then into

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Speaker 2: the my was the original forever chemical I think, right,

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Speaker 2: that's like the one that three M made and like, yeah,

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Speaker 2: people were like immediately like if you lived anywhere that

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Speaker 2: scotch card was during the fifties, you have this in

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Speaker 2: your that was.

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Speaker 3: Just like like tape for the inside of your veins basically.

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Speaker 2: Exactly. It's just like like scotch tape, but inside you

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Speaker 2: What if you had just like liquid scotch tape running

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Speaker 2: throughout your body.

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Speaker 6: Yeah, I know, I'm trying to stay in the like,

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Speaker 6: you know, unintended consequences maybe positive thing. I'm one, you know,

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Speaker 6: obviously this can't be good. It's a little bit the

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Speaker 6: same as the you know, chat GPT brain poison thing.

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Speaker 3: But I'm just like, I don't know, on some level,

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Speaker 3: maybe you know, maybe we're going to find.

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Speaker 6: Out that people with all this Scotch guard in their

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Speaker 6: blood get fewer strokes or I guess what's more likely, way, way,

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Speaker 6: way more strokes.

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Speaker 2: Yeah, now fewer our blood more slippery.

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Speaker 3: We shall see.

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Speaker 2: So it's good.

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Speaker 3: Yeah yeah, plastic dudes, We're just we're just plastic plastic. Anyway.

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Speaker 3: I've been having aretchy.

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Speaker 6: Believable amounts of uh steamed steamed box mostly.

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Speaker 2: Do we like have we underrated the microwave? Just I

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Speaker 2: feel like it feels worse than it actually is. Like

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Speaker 2: I've always like felt like that's a cancer box. But

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Speaker 2: like I'll use an age.

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Speaker 6: Yeah, I think I think not to not to docks

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Speaker 6: us to the new listeners in our eternal youth.

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Speaker 3: But I think people in our generation, what we're twenty seven,

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Speaker 3: so we were we were all this, I'm four.

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Speaker 5: Yeah, we were saying kids, don't stand, don't stand too

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Speaker 5: close to the mark, like three grades above me, right,

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Speaker 5: He's like three grades are you guys?

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Speaker 2: Teachers?

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Speaker 3: Are we mean twentieth grade?

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Speaker 2: It actually we met so young that it's weird that

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Speaker 2: I was hanging out with him being overwing. That guy's

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Speaker 2: already going through puberty. Why college kid, Lets me sip

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Speaker 2: some beers, okay, just some people. I'm reading that the

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Speaker 2: microwaves that come out are non ionizing.

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Speaker 3: So that's right. That isn't dangerous to people.

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Speaker 2: That's good. Yeah, I think I think it's it's.

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Speaker 6: Like, because they've been around for so long, if they

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Speaker 6: were causing cancer, first of all, how would we know, right,

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Speaker 6: getting there's just too much.

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Speaker 3: We're justulating Anyways.

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Speaker 2: This is usually what we're showing back. This is usually

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Speaker 2: when our show gets in trouble, when we're like, and

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Speaker 2: what about like water alcalizing and.

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Speaker 3: Oh oh man, listen, I'm replacing either of my under

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00:19:58,600 --> 00:20:02,440
Speaker 3: or opera with that. No, I get ready, it's gonna

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Speaker 3: be even worse.

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Speaker 2: Oh no, all right, Andrew, what's something you think is underrated?

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Speaker 2: Oh man? Just using normal ass? Water?

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Speaker 6: Way underrated? Not using normal ass? Okay, listen, whatever I got.

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Speaker 6: I took one step up in coffee madness, and I

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Speaker 6: am now buying separate minerals to put into distilled water

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Speaker 6: to make coffee with in the mornings.

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Speaker 2: So you're using distilled water and then adding us from

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Speaker 2: tap water back in.

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Speaker 6: Yeah, but like a calibrated proportion, I suppose. So I

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Speaker 6: guess underrated is not using an insane coffee process. Here's

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Speaker 6: the thing I will tell you, Jack, I don't have

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Speaker 6: the palette or the ability, especially given the like cognitive

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Speaker 6: dissonance that has gone into this process, to tell you

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Speaker 6: whether it tastes better.

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00:20:59,119 --> 00:21:01,560
Speaker 2: It tastes better to me, sure, but.

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00:21:01,520 --> 00:21:04,520
Speaker 3: That's because I fucking bought a powder off the internet

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00:21:04,840 --> 00:21:08,440
Speaker 3: and now have to like buy water. Including this week,

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00:21:08,480 --> 00:21:12,320
Speaker 3: I went at midnight, past midnight to the CVS that

384
00:21:12,440 --> 00:21:15,199
Speaker 3: was open, just so I could get distilled water so

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00:21:15,280 --> 00:21:16,720
Speaker 3: I could have my morning coffee.

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00:21:17,160 --> 00:21:21,160
Speaker 2: Damn, wow, wow, culinary arts.

387
00:21:21,240 --> 00:21:24,280
Speaker 1: Yeah, you're doing this thing about like marinating a coke

388
00:21:24,320 --> 00:21:26,240
Speaker 1: and the refrigerator for three weeks.

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00:21:26,640 --> 00:21:27,800
Speaker 3: It tastes better.

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00:21:27,920 --> 00:21:33,480
Speaker 2: Man, It's crispy, although it actually gets a little bit

391
00:21:33,600 --> 00:21:38,920
Speaker 2: overly crispy. I like the five day crispiness. Yeah, five days,

392
00:21:38,920 --> 00:21:39,480
Speaker 2: twelve hours.

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00:21:39,680 --> 00:21:42,080
Speaker 3: Got to bring it back. What Andrews do you think

394
00:21:42,160 --> 00:21:45,959
Speaker 3: is overrated? All right, I'll just be I it's it is.

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00:21:46,240 --> 00:21:47,960
Speaker 6: As we talked about it a second, it is, And

396
00:21:48,320 --> 00:21:50,480
Speaker 6: I'm positive I said something like this last time.

397
00:21:50,520 --> 00:21:51,440
Speaker 2: It was a big protest.

398
00:21:51,480 --> 00:21:53,720
Speaker 6: But it is something I need to constantly tamp down

399
00:21:53,920 --> 00:21:57,000
Speaker 6: in myself, which is the like my reflexive hating on

400
00:21:57,240 --> 00:22:03,960
Speaker 6: the like drum folks at protests because it's it's like

401
00:22:04,040 --> 00:22:08,040
Speaker 6: they're fine. They're fine, They genuinely are fine. I I

402
00:22:08,680 --> 00:22:12,080
Speaker 6: have to remind myself of saying that. I feel like

403
00:22:12,359 --> 00:22:17,960
Speaker 6: I coined but maybe not that which is which is

404
00:22:18,960 --> 00:22:22,920
Speaker 6: being corny is not a crime, like I don't think

405
00:22:22,920 --> 00:22:25,720
Speaker 6: it's I don't, It's not, to me, the funniest thing

406
00:22:26,440 --> 00:22:30,719
Speaker 6: I've ever heard. I wish more people on whatever is

407
00:22:30,840 --> 00:22:35,560
Speaker 6: left of fucking Nancy Pelosi would be a little more

408
00:22:35,600 --> 00:22:42,200
Speaker 6: creative and not parrot a bit from fucking five years ago. Still, however,

409
00:22:43,400 --> 00:22:45,920
Speaker 6: you know, I'm glad you're here, thank you for being

410
00:22:45,920 --> 00:22:46,360
Speaker 6: on on the.

411
00:22:46,280 --> 00:22:51,080
Speaker 2: Streets, and honestly, kind of a revolutionary idea if we could,

412
00:22:51,119 --> 00:22:55,000
Speaker 2: if everybody across the board could just like inhabit that

413
00:22:55,240 --> 00:22:58,280
Speaker 2: like from like you know, far left. Yeah, just corny

414
00:22:58,359 --> 00:23:01,399
Speaker 2: is not a crime, like yes, like it is them

415
00:23:01,440 --> 00:23:05,679
Speaker 2: singing take Trump out of the Why is that cool?

416
00:23:06,160 --> 00:23:09,840
Speaker 2: Is that funny? No, it's not. But if we took

417
00:23:09,880 --> 00:23:11,879
Speaker 2: Trump out of the White House, the world would be better.

418
00:23:12,119 --> 00:23:14,600
Speaker 2: So let's just let them sing the thing that I

419
00:23:14,640 --> 00:23:16,359
Speaker 2: think we all agree on. I don't, Yeah, I.

420
00:23:16,359 --> 00:23:17,800
Speaker 3: Don't, I'm not, I don't, I'm not.

421
00:23:18,040 --> 00:23:20,760
Speaker 1: Uh, I'm mad at the message you know what I mean, Right, Yeah,

422
00:23:20,960 --> 00:23:21,960
Speaker 1: that's I think.

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00:23:21,840 --> 00:23:24,880
Speaker 6: It's just like like because I would say, I mean,

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Speaker 6: the biggest like tragedy of this is like, yes, all

425
00:23:28,640 --> 00:23:33,040
Speaker 6: the like kind of like wokeness scolds, including me on

426
00:23:33,240 --> 00:23:38,600
Speaker 6: Yosi's racist, Like a big part of this like insane

427
00:23:38,640 --> 00:23:41,960
Speaker 6: fascist backlash was like those people feeling.

428
00:23:43,400 --> 00:23:47,920
Speaker 3: You know, victimized. Yeah, sure, well you mean to me.

429
00:23:48,240 --> 00:23:49,080
Speaker 2: We weren't wrong.

430
00:23:49,520 --> 00:23:51,720
Speaker 1: Yeah, well, I think the other part exactly, it's like, yeah,

431
00:23:51,720 --> 00:23:54,399
Speaker 1: you need to respect trains people. That's that's that's a

432
00:23:54,480 --> 00:23:57,040
Speaker 1: non negotiable. But I think the thing is for people

433
00:23:57,080 --> 00:23:59,600
Speaker 1: who are hearing that when they're when they're a material

434
00:24:00,320 --> 00:24:04,840
Speaker 1: living situation is dire, It's like, I honestly don't have

435
00:24:04,880 --> 00:24:08,639
Speaker 1: the bandwidth for that. I'm I don't have money and

436
00:24:08,680 --> 00:24:10,679
Speaker 1: I'm supposed to and I'm being yelled at for the

437
00:24:10,760 --> 00:24:13,840
Speaker 1: like what's the priority here? So I mean I think

438
00:24:13,840 --> 00:24:15,960
Speaker 1: that's where, you know, a lot of the times leadership

439
00:24:16,000 --> 00:24:17,800
Speaker 1: fails to be like you actually need to be really

440
00:24:17,840 --> 00:24:21,680
Speaker 1: focusing on like material inequality, like that's right, that should

441
00:24:21,800 --> 00:24:25,200
Speaker 1: underpin everything else you do because you need to solve

442
00:24:25,240 --> 00:24:27,280
Speaker 1: that piece to get people on board to.

443
00:24:27,280 --> 00:24:30,000
Speaker 3: Reject right wing ideology, Like that's.

444
00:24:29,840 --> 00:24:33,000
Speaker 1: Just that's the data, is there, baby, you just gotta

445
00:24:33,520 --> 00:24:34,640
Speaker 1: flow the paradigm up.

446
00:24:35,119 --> 00:24:39,000
Speaker 6: The the like tiny like disconnect and the tiny way

447
00:24:39,040 --> 00:24:41,680
Speaker 6: that this like the corny is a crime people have

448
00:24:41,720 --> 00:24:42,800
Speaker 6: a like to stand on.

449
00:24:43,080 --> 00:24:46,680
Speaker 2: Which is that like the problem was just.

450
00:24:46,640 --> 00:24:48,639
Speaker 6: Sort of like we'll just say, I don't know, in

451
00:24:48,680 --> 00:24:54,359
Speaker 6: my opinion, the Democratic Party thought the corn was like sufficient,

452
00:24:54,640 --> 00:24:57,040
Speaker 6: like it was the kneeling and could take closs business.

453
00:24:57,160 --> 00:24:59,520
Speaker 2: Yeah, yeah, right, that's actually cool.

454
00:24:59,680 --> 00:25:02,119
Speaker 3: You mean it's like we call those pump fakes.

455
00:25:02,320 --> 00:25:05,320
Speaker 6: Actually, but but like that stuff is all fine, and

456
00:25:05,400 --> 00:25:09,080
Speaker 6: like broadly speaking, correct, you just can't also then sell

457
00:25:09,119 --> 00:25:12,480
Speaker 6: out people's economic futures to the same people Trump is

458
00:25:13,000 --> 00:25:13,919
Speaker 6: trying to sell out well.

459
00:25:13,960 --> 00:25:16,119
Speaker 3: And also, like I said, you can't pump fake like

460
00:25:16,200 --> 00:25:18,919
Speaker 3: don't take a knee acting like yo, this police violence

461
00:25:18,920 --> 00:25:21,080
Speaker 3: is out of hand. And then anytime some kind of

462
00:25:21,080 --> 00:25:23,639
Speaker 3: meaningful police reform bill comes up, you're like, I'm actually

463
00:25:23,640 --> 00:25:26,600
Speaker 3: in solidarity with the police union, Like this is the

464
00:25:26,600 --> 00:25:28,520
Speaker 3: most they would let me get away with that summer,

465
00:25:28,560 --> 00:25:31,119
Speaker 3: And that's that's I take it to the limit. Yeah,

466
00:25:31,200 --> 00:25:34,520
Speaker 3: if your only thing is chasing whatever is pulling, well

467
00:25:34,640 --> 00:25:37,760
Speaker 3: in the moment, like people people catch onto that pretty quickly.

468
00:25:37,800 --> 00:25:41,919
Speaker 6: But it's not even that because economic equality is pulling well.

469
00:25:42,359 --> 00:25:46,480
Speaker 3: So like, but I mean, that's that's their to the core.

470
00:25:46,600 --> 00:25:49,280
Speaker 3: They're like, I mean, the things we can get away

471
00:25:49,359 --> 00:25:52,400
Speaker 3: with by using the rationale that it's popular, will do that.

472
00:25:52,440 --> 00:25:54,800
Speaker 3: Anything that upsets the status quo, even if it is

473
00:25:55,760 --> 00:25:56,560
Speaker 3: single pay.

474
00:25:56,440 --> 00:25:57,199
Speaker 2: Or what the.

475
00:26:00,920 --> 00:26:05,800
Speaker 6: Go nil guys, yeah, yeah, yeah, Neil, Neil, that'll distract him.

476
00:26:05,800 --> 00:26:07,080
Speaker 3: That'll distract him.

477
00:26:07,160 --> 00:26:12,640
Speaker 6: So that's anyway, that was an incoherent set of under

478
00:26:12,680 --> 00:26:13,399
Speaker 6: and overrated.

479
00:26:13,480 --> 00:26:16,520
Speaker 2: But like it I feel I'll leave it as an exercise.

480
00:26:16,800 --> 00:26:18,679
Speaker 6: I'll leave it as an exercise to the reader to

481
00:26:18,720 --> 00:26:22,679
Speaker 6: figure out what my actual ciphers.

482
00:26:23,840 --> 00:26:25,800
Speaker 2: Over under an n rated.

483
00:26:26,400 --> 00:26:28,680
Speaker 3: Yeah, all three, let's take a quick break.

484
00:26:28,760 --> 00:26:43,960
Speaker 2: We'll be right back and we are right back and.

485
00:26:44,160 --> 00:26:48,680
Speaker 3: From where we started, right back where we started again. Yeah,

486
00:26:48,680 --> 00:26:50,440
Speaker 3: we kind of are right back where we started again.

487
00:26:50,560 --> 00:26:54,320
Speaker 2: Yeah, I mean, so we like there.

488
00:26:54,280 --> 00:26:56,679
Speaker 1: Has so much there's just so much talk of, you

489
00:26:56,680 --> 00:26:59,080
Speaker 1: know right now, ambiently, right all we're hearing in America

490
00:26:59,160 --> 00:27:03,879
Speaker 1: is like violent immigrants and immigrant gangs and the threat

491
00:27:03,920 --> 00:27:07,000
Speaker 1: of a nuclear Iran and sadly the media is just

492
00:27:07,040 --> 00:27:10,560
Speaker 1: like relying on their bad habits of providing zero context

493
00:27:10,600 --> 00:27:13,520
Speaker 1: when talking about issues that have global ramifications.

494
00:27:14,400 --> 00:27:16,000
Speaker 3: I just want to start off pointing out a couple

495
00:27:16,000 --> 00:27:16,760
Speaker 3: of things. Of these things.

496
00:27:17,119 --> 00:27:21,040
Speaker 1: Immigration, Right, We're currently seeing a campaign of terror unfold

497
00:27:21,080 --> 00:27:24,159
Speaker 1: on our streets as mask goon secret police whoever the

498
00:27:24,200 --> 00:27:27,200
Speaker 1: fuck they are just snatching up innocent people off the streets.

499
00:27:27,520 --> 00:27:30,199
Speaker 1: I say innocent to like juxtapose that with like the

500
00:27:30,280 --> 00:27:33,680
Speaker 1: DHS and ICE officials who are using as their ration

501
00:27:33,800 --> 00:27:36,720
Speaker 1: at like this idea like violent. There we're getting only

502
00:27:36,760 --> 00:27:40,719
Speaker 1: the violent criminals, the worst, these murderers, and they typically

503
00:27:40,800 --> 00:27:44,439
Speaker 1: evoke the boogeyman of MS thirteen. Just want to remind

504
00:27:44,440 --> 00:27:48,520
Speaker 1: ourselves the United States is basically the fucking reason MS

505
00:27:48,600 --> 00:27:51,200
Speaker 1: thirteen even exists in the first place. Here's the here's

506
00:27:51,240 --> 00:27:52,960
Speaker 1: the very quick truncated version.

507
00:27:53,000 --> 00:27:56,840
Speaker 3: Okay. During the Cold War, the US was using financial

508
00:27:56,840 --> 00:28:00,600
Speaker 3: coercion and arming governments to fight off any suspected expansion

509
00:28:00,720 --> 00:28:04,480
Speaker 3: of like leftist ideology that they read as communists. Okay.

510
00:28:04,840 --> 00:28:08,639
Speaker 1: In l Salvador, the possibility of anything resembling a leftist

511
00:28:08,680 --> 00:28:12,480
Speaker 1: government caused concern, and the US began opposite, arming the opposition,

512
00:28:12,880 --> 00:28:15,920
Speaker 1: and contributed to the civil war there. This caused many

513
00:28:15,920 --> 00:28:19,920
Speaker 1: people to flee the unrest to places like the United States.

514
00:28:20,560 --> 00:28:23,280
Speaker 1: Many of these young men who arrived in LA, they

515
00:28:23,359 --> 00:28:26,920
Speaker 1: learned LA gang culture, they took and then once Bill

516
00:28:26,960 --> 00:28:31,159
Speaker 1: Clinton started his whole fucking policy of super predators, of

517
00:28:31,240 --> 00:28:35,000
Speaker 1: deporting people in mass basically all these young men came

518
00:28:35,040 --> 00:28:39,440
Speaker 1: from LA and we started exporting gang culture to El Salvador.

519
00:28:39,680 --> 00:28:42,000
Speaker 1: And that's how you begin to see the beginnings of

520
00:28:42,160 --> 00:28:45,000
Speaker 1: MS thirteen, you know, show up. So it's actually our

521
00:28:45,160 --> 00:28:48,800
Speaker 1: anti communist, military interventionist habit and the love of deporting

522
00:28:48,840 --> 00:28:54,000
Speaker 1: people from destabilized nations that we destabilized that created MS thirteen.

523
00:28:54,120 --> 00:28:56,840
Speaker 2: Okay, the East, I don't know, Miles, this doesn't sound

524
00:28:56,920 --> 00:28:58,320
Speaker 2: like US.

525
00:28:59,240 --> 00:29:01,800
Speaker 3: Jess, Rita and Latin America just read up on it.

526
00:29:02,000 --> 00:29:03,400
Speaker 3: Like what you're trying to do with your bananas.

527
00:29:04,640 --> 00:29:07,920
Speaker 2: You can just replace El Salvador with any other.

528
00:29:08,680 --> 00:29:13,080
Speaker 3: Yeahs, Like it's all fucking there. Okay, So this is

529
00:29:13,160 --> 00:29:15,160
Speaker 3: why we and when people go, why.

530
00:29:14,960 --> 00:29:18,600
Speaker 1: Don't they stay in their countries because we fucking destabilize

531
00:29:18,640 --> 00:29:23,080
Speaker 1: them because they deigned to flirt with like socialism and

532
00:29:23,240 --> 00:29:26,920
Speaker 1: just like we're gonna nationalize our industry.

533
00:29:25,400 --> 00:29:30,040
Speaker 3: Now one of the industries, right, fuck you are you're gonna.

534
00:29:29,920 --> 00:29:34,040
Speaker 2: And this is all is gonna come in that it's

535
00:29:34,040 --> 00:29:36,480
Speaker 2: gonna be a massive corporation and they're going to do

536
00:29:37,040 --> 00:29:39,920
Speaker 2: what you know, like what Walmart did to the Midwest,

537
00:29:40,080 --> 00:29:42,360
Speaker 2: like what They're just going to hoover up all the

538
00:29:42,440 --> 00:29:45,520
Speaker 2: resources and take it out of your country and then take.

539
00:29:45,960 --> 00:29:49,360
Speaker 3: To as fuck and put it in the market. Yeah,

540
00:29:49,400 --> 00:29:51,120
Speaker 3: and also kill anyone who's trying to oppose it.

541
00:29:51,200 --> 00:29:54,560
Speaker 6: And this is also poor people in America wouldn't see

542
00:29:54,800 --> 00:29:58,320
Speaker 6: a system like this working, so they would would always

543
00:29:58,920 --> 00:30:01,360
Speaker 6: as they've been doing, vote for more.

544
00:30:01,640 --> 00:30:04,480
Speaker 2: Look at Cuba. Look at Cuba, guys, you can't vote

545
00:30:04,480 --> 00:30:06,960
Speaker 2: for fucking anybody on the left. Look at what Cuba.

546
00:30:07,080 --> 00:30:08,720
Speaker 2: Well look what youbot it.

547
00:30:08,720 --> 00:30:11,440
Speaker 3: Is in Venezuela. You mean because of all the fucking embargoes,

548
00:30:11,760 --> 00:30:13,760
Speaker 3: because they get medicine.

549
00:30:13,800 --> 00:30:16,360
Speaker 1: But what do you think again that situation. It looks

550
00:30:16,400 --> 00:30:18,640
Speaker 1: like that because we have a hand in that. So again,

551
00:30:18,680 --> 00:30:21,280
Speaker 1: now we have Iran right right now, there's so many

552
00:30:21,280 --> 00:30:24,480
Speaker 1: fucking freaks on TV trying to manufacture consent to attack

553
00:30:24,520 --> 00:30:26,880
Speaker 1: Iran and ultimately do regime change.

554
00:30:27,080 --> 00:30:28,280
Speaker 3: But again, the.

555
00:30:28,320 --> 00:30:32,760
Speaker 1: US already did that in the fifties. Okay, Iranians democratically

556
00:30:32,760 --> 00:30:36,640
Speaker 1: elected their prime minister, Mohammed Mosadeg. He angered the US

557
00:30:36,680 --> 00:30:38,640
Speaker 1: and UK when he said that he was going to

558
00:30:38,720 --> 00:30:42,240
Speaker 1: nationalize Iran's oil industry, and British at the time British

559
00:30:42,280 --> 00:30:45,040
Speaker 1: Petroleum was like, so we're not having that. So the

560
00:30:45,160 --> 00:30:48,920
Speaker 1: US and the UK. So the CIA, in secret intelligence

561
00:30:48,960 --> 00:30:53,160
Speaker 1: service sis ken is a visible army, came conducted a

562
00:30:53,200 --> 00:30:56,160
Speaker 1: coup to concentrate power with the Shah of Iran, who

563
00:30:56,200 --> 00:30:59,560
Speaker 1: would do as he was told by America. This field

564
00:30:59,800 --> 00:31:03,600
Speaker 1: the anti American sentiment that gave way to the Iranian Revolution,

565
00:31:03,800 --> 00:31:05,959
Speaker 1: which kicked off the new era of the Islamic Republic,

566
00:31:05,960 --> 00:31:08,360
Speaker 1: which they are now saying, this is a threat to everything.

567
00:31:08,760 --> 00:31:12,080
Speaker 1: So the US, again along with the allies, have done

568
00:31:12,160 --> 00:31:14,560
Speaker 1: all they can to destabilize. You're on a country, by

569
00:31:14,600 --> 00:31:18,040
Speaker 1: all accounts, is not building a nuclear weapon, okay, And

570
00:31:18,080 --> 00:31:21,720
Speaker 1: we're hearing constantly the same takes like nuclear weapon.

571
00:31:21,520 --> 00:31:23,600
Speaker 2: By all accounts of the people who are currently saying

572
00:31:23,640 --> 00:31:26,600
Speaker 2: they were like a week ago, yeah, yeah, exactly.

573
00:31:28,000 --> 00:31:29,960
Speaker 3: And yet now we're cheering on Israel.

574
00:31:30,040 --> 00:31:32,480
Speaker 1: Not like us personally, but like the sort of general

575
00:31:32,560 --> 00:31:35,640
Speaker 1: political discourse in DC is like cheering on Israel foret

576
00:31:35,680 --> 00:31:38,000
Speaker 1: another illegal attack on a nation and it's people. So

577
00:31:38,520 --> 00:31:41,920
Speaker 1: again we're talking Israel is the one that has nuclear

578
00:31:41,960 --> 00:31:46,959
Speaker 1: weapons and is not signing onto a nuclear non proliferation treaty.

579
00:31:47,040 --> 00:31:49,440
Speaker 3: Like yeah, it's so backwards right now.

580
00:31:49,480 --> 00:31:51,240
Speaker 2: I'm seeing a lot of people do the thing where

581
00:31:51,240 --> 00:31:54,000
Speaker 2: they're like, look, guys, I don't want a nuclear round

582
00:31:54,240 --> 00:31:57,320
Speaker 2: just like everybody else. It's like yeah, but like, can

583
00:31:57,400 --> 00:32:00,720
Speaker 2: you think of a worst country to have clear weapons

584
00:32:00,720 --> 00:32:04,520
Speaker 2: than Israel, who like won't sign on to any of

585
00:32:04,600 --> 00:32:08,400
Speaker 2: the like international laws, who are like flouting international laws

586
00:32:08,400 --> 00:32:10,760
Speaker 2: and like killing people and committing more crimes like actively,

587
00:32:10,840 --> 00:32:14,520
Speaker 2: Like that's the really scary thing to me. Like if

588
00:32:14,920 --> 00:32:18,080
Speaker 2: you're just like not a fan of innocent people being killed,

589
00:32:18,240 --> 00:32:22,520
Speaker 2: the idea that Israel has nuclear weapons is very scary.

590
00:32:22,600 --> 00:32:22,840
Speaker 3: Yeah.

591
00:32:22,880 --> 00:32:25,720
Speaker 1: Also, like why won't they allow inspections by the International

592
00:32:25,800 --> 00:32:29,080
Speaker 1: Atomic Eight Energy Agency? Like what are we talking about?

593
00:32:29,080 --> 00:32:30,840
Speaker 1: And again Obama made a deal with Iran.

594
00:32:30,920 --> 00:32:31,640
Speaker 3: Trump is a.

595
00:32:31,640 --> 00:32:33,200
Speaker 1: Racist, so he had to blow that up and act

596
00:32:33,240 --> 00:32:35,080
Speaker 1: like he was going to do something different to get credit,

597
00:32:35,320 --> 00:32:38,040
Speaker 1: and this only moved things backwards, and now we're just

598
00:32:38,480 --> 00:32:40,720
Speaker 1: now we're fucking here and we're talking about like Iran,

599
00:32:40,760 --> 00:32:42,719
Speaker 1: there's such a threat to the stability of the region.

600
00:32:42,920 --> 00:32:44,920
Speaker 1: I'm like, oh, I'm sorry, Are they engaged in a

601
00:32:44,960 --> 00:32:48,200
Speaker 1: genocidal campaign in Gaza and occupying the West Bank? Did

602
00:32:48,200 --> 00:32:50,520
Speaker 1: they attack Lebanon and invade.

603
00:32:51,280 --> 00:32:53,160
Speaker 3: The de facto are exactly?

604
00:32:53,200 --> 00:32:55,480
Speaker 1: And I mean that's like the shorthand that people are

605
00:32:55,520 --> 00:32:58,160
Speaker 1: just like going back to this war on terror like

606
00:32:58,320 --> 00:33:01,160
Speaker 1: thought killing cliche where they're like, that's you know, you're wrong.

607
00:33:02,680 --> 00:33:06,280
Speaker 1: And the same people that fucking cheered on the war

608
00:33:06,360 --> 00:33:08,680
Speaker 1: on terror that killed four and a half million people

609
00:33:09,320 --> 00:33:13,160
Speaker 1: conservatively are now just raw ryeing this on. And yet

610
00:33:13,200 --> 00:33:15,640
Speaker 1: there they don't have to answer for their sin of

611
00:33:15,800 --> 00:33:17,800
Speaker 1: being like, yeah they got w and we gotta fucking

612
00:33:17,840 --> 00:33:20,600
Speaker 1: do this shit. Uh, And they're doing the exact same thing.

613
00:33:20,640 --> 00:33:20,760
Speaker 2: Now.

614
00:33:20,800 --> 00:33:23,720
Speaker 3: It's just like baffling, baffling.

615
00:33:24,360 --> 00:33:26,120
Speaker 2: These are the These are the people who you can

616
00:33:26,160 --> 00:33:29,560
Speaker 2: blow their mind with the Matthew McConaughey trick. Now, now

617
00:33:29,600 --> 00:33:30,800
Speaker 2: imagine those people are.

618
00:33:30,640 --> 00:33:33,360
Speaker 3: White, right, would that be from a time to kill?

619
00:33:33,640 --> 00:33:37,280
Speaker 2: Yeah? Yeah, now now imagine they're white. Oh what well

620
00:33:37,360 --> 00:33:41,080
Speaker 2: that was wait what that would be horrible Jesus terrible.

621
00:33:41,720 --> 00:33:42,600
Speaker 2: It's also like.

622
00:33:42,920 --> 00:33:45,640
Speaker 3: Even in the small media version, it is a little

623
00:33:45,840 --> 00:33:49,520
Speaker 3: bonkers that no one who is so wrong about Iraq,

624
00:33:50,200 --> 00:33:58,120
Speaker 3: like intelligence wise, has faced any like even credibility consequence. Yeah, nope, Like, hey, motherfuckers,

625
00:33:58,160 --> 00:34:01,040
Speaker 3: these are largely the same. It's certainly the same institutions. Yeah,

626
00:34:01,240 --> 00:34:02,080
Speaker 3: some of the same.

627
00:34:01,880 --> 00:34:05,520
Speaker 6: People who are telling the same lies for the same

628
00:34:05,680 --> 00:34:06,760
Speaker 6: obvious reasons.

629
00:34:07,000 --> 00:34:09,160
Speaker 2: And we thought that didn't go well, like right, Like

630
00:34:09,200 --> 00:34:11,920
Speaker 2: we all agreed at the end of that one that

631
00:34:11,920 --> 00:34:14,560
Speaker 2: that was bad, right, Like, I guess this one feels

632
00:34:14,560 --> 00:34:17,680
Speaker 2: a little bit different because Israel is the US in

633
00:34:17,719 --> 00:34:20,359
Speaker 2: this case and they're like, are you.

634
00:34:20,400 --> 00:34:23,799
Speaker 3: And the coalition of the willing type ship?

635
00:34:23,880 --> 00:34:27,600
Speaker 2: But yeah, that that was just like we thought we

636
00:34:27,640 --> 00:34:33,840
Speaker 2: thought the Iraq than yeah, that was right, guys, my

637
00:34:33,960 --> 00:34:36,359
Speaker 2: crazy heir to that that that was that didn't go.

638
00:34:36,440 --> 00:34:40,120
Speaker 3: Grace right, But yeah, no one again, like and what

639
00:34:40,200 --> 00:34:43,200
Speaker 3: happened there, It's like there is a presupposition of weapons

640
00:34:43,200 --> 00:34:45,799
Speaker 3: of mass destruction. And also, wasn't net and Yahoo coming

641
00:34:45,840 --> 00:34:48,720
Speaker 3: to d C saying if you guys take out Saddam Hussein,

642
00:34:48,840 --> 00:34:50,640
Speaker 3: everything will be right in the world, and was the

643
00:34:50,719 --> 00:34:55,160
Speaker 3: biggest Oh okay, so but then okay, okay, we'll just Okay, okay, yeah,

644
00:34:55,160 --> 00:34:57,960
Speaker 3: we'll believe everything. We believe everything, and let's were about

645
00:34:57,960 --> 00:35:01,120
Speaker 3: to see let's not learn from history ever. That's what's

646
00:35:01,120 --> 00:35:03,239
Speaker 3: so fucking that's frustrating and.

647
00:35:03,200 --> 00:35:07,160
Speaker 2: Likes not on our point.

648
00:35:07,360 --> 00:35:09,480
Speaker 3: Let's just not What if we just took that off

649
00:35:09,520 --> 00:35:12,120
Speaker 3: the table, Like what if we just did repeat history

650
00:35:12,160 --> 00:35:12,560
Speaker 3: every time?

651
00:35:14,000 --> 00:35:16,080
Speaker 6: I mean, you know what, That's the thing that's a

652
00:35:16,200 --> 00:35:18,759
Speaker 6: nice thing about the Internet age is like you know,

653
00:35:19,560 --> 00:35:22,200
Speaker 6: not only do we repeat history, we repeat it much faster.

654
00:35:23,160 --> 00:35:26,480
Speaker 6: That's you know everything. The nineties are back, is what

655
00:35:26,520 --> 00:35:29,120
Speaker 6: I'm saying, and even.

656
00:35:28,960 --> 00:35:33,160
Speaker 3: The two thousands are already back. Yeah, it's a cosmic

657
00:35:33,200 --> 00:35:37,480
Speaker 3: gumbo of the three name brought back.

658
00:35:38,120 --> 00:35:41,480
Speaker 2: There's a I think it was a radio Lab episode

659
00:35:41,600 --> 00:35:44,640
Speaker 2: that was about people who lose their short term memory

660
00:35:45,120 --> 00:35:48,400
Speaker 2: and they like they're coming out of like a you know,

661
00:35:49,000 --> 00:35:54,320
Speaker 2: comba or something like that, and they like their loved

662
00:35:54,320 --> 00:35:57,560
Speaker 2: ones will report that they will like repeat themselves over

663
00:35:57,640 --> 00:36:00,320
Speaker 2: and over again, like just the speed with which they'll

664
00:36:00,360 --> 00:36:04,680
Speaker 2: they'll be like like, I just remember the episode they

665
00:36:04,719 --> 00:36:07,480
Speaker 2: like recorded this person having this conversation, and like the

666
00:36:07,520 --> 00:36:10,480
Speaker 2: people they're talking to are like kind of like you know,

667
00:36:10,600 --> 00:36:12,880
Speaker 2: taking a breath and then like answering their question, they're like,

668
00:36:13,000 --> 00:36:15,959
Speaker 2: that's because they had just asked that like two minutes ago.

669
00:36:16,160 --> 00:36:19,839
Speaker 2: And so like the speed with which you repeat, if

670
00:36:19,920 --> 00:36:23,640
Speaker 2: you just have no memory, it's like it just happens

671
00:36:23,840 --> 00:36:26,600
Speaker 2: so quickly, and because there's just so much noise, there's

672
00:36:26,640 --> 00:36:30,440
Speaker 2: just so little awareness. It just feels like we're just

673
00:36:30,600 --> 00:36:34,120
Speaker 2: repeating things like within a decade or two decades. Like

674
00:36:34,160 --> 00:36:39,040
Speaker 2: it's just like the has them disease exactly, Yeah, but

675
00:36:39,120 --> 00:36:42,120
Speaker 2: no tattoos, but none of the tattoos to remind them

676
00:36:42,120 --> 00:36:43,799
Speaker 2: of what the no tattoos.

677
00:36:44,239 --> 00:36:46,680
Speaker 3: Just a fucking guy probably just trying to kill somebody.

678
00:36:46,920 --> 00:36:51,480
Speaker 2: They don't know why, just killing someone, dude, we're raw

679
00:36:51,520 --> 00:36:53,680
Speaker 2: dogging memento with no tattoos.

680
00:36:53,760 --> 00:36:57,000
Speaker 3: Yeah, they just want to kill someone and make themselves

681
00:36:57,040 --> 00:36:58,440
Speaker 3: feel better for it.

682
00:36:58,560 --> 00:37:01,120
Speaker 2: If you could like have a beard, that would be cool.

683
00:37:01,280 --> 00:37:03,080
Speaker 2: I don't know, like that'd be good.

684
00:37:03,440 --> 00:37:05,160
Speaker 1: Yeah, I mean, like to your point, Jack, it's like

685
00:37:05,239 --> 00:37:08,200
Speaker 1: when you if you do remember, then when that impulse

686
00:37:08,239 --> 00:37:10,120
Speaker 1: comes up, you have a memory attached to it.

687
00:37:10,080 --> 00:37:13,480
Speaker 3: And be like, oh that's right, stove, hot n touch stove.

688
00:37:13,880 --> 00:37:17,400
Speaker 1: But we never as a nation are ever we we

689
00:37:17,640 --> 00:37:21,080
Speaker 1: just don't have reckonings with our white supremacy, our xenophobia,

690
00:37:21,160 --> 00:37:26,640
Speaker 1: our homophobia are imperial interventionist streak of regime change. And

691
00:37:26,680 --> 00:37:29,120
Speaker 1: so every time these moments help come up, the people

692
00:37:29,160 --> 00:37:32,960
Speaker 1: that feel that shit are like, ah no, no, no, no, no, yeah, no,

693
00:37:33,040 --> 00:37:35,520
Speaker 1: y'all don't remember that, and they're like no because it

694
00:37:35,520 --> 00:37:38,319
Speaker 1: didn't affect me. And this time we're doing it again

695
00:37:38,320 --> 00:37:40,560
Speaker 1: in another way where people are like, do you all remember?

696
00:37:40,640 --> 00:37:40,719
Speaker 5: No?

697
00:37:40,920 --> 00:37:43,560
Speaker 1: Okay, so there's some mag and that's why there's some

698
00:37:43,640 --> 00:37:45,960
Speaker 1: magot people who are like, fuck base war. I mean,

699
00:37:45,960 --> 00:37:48,120
Speaker 1: obviously it's for bad reasons, but you're seeing this now

700
00:37:48,160 --> 00:37:51,959
Speaker 1: where they're even like that last that wars is not good.

701
00:37:51,960 --> 00:37:54,560
Speaker 1: I'd rather focus on their money in our country, even

702
00:37:54,560 --> 00:37:55,399
Speaker 1: though stuff are.

703
00:37:55,320 --> 00:37:57,080
Speaker 2: Doing is wildly unpopular.

704
00:37:57,480 --> 00:38:00,920
Speaker 6: Like before, it never matters and it never has matter now,

705
00:38:01,040 --> 00:38:04,160
Speaker 6: but also never had a four miles. What's happening is

706
00:38:04,320 --> 00:38:09,360
Speaker 6: you're talking to a dangerous stove salesman whose yeah.

707
00:38:09,320 --> 00:38:13,440
Speaker 3: Exactly, Hey, so where's the like where the burdeners? You

708
00:38:13,520 --> 00:38:15,600
Speaker 3: just turn on a big flame shoots.

709
00:38:15,239 --> 00:38:18,600
Speaker 6: Oh, you need the new stove if you want to

710
00:38:18,640 --> 00:38:21,759
Speaker 6: get actually does the same thing. Yeah, yeah, oh you

711
00:38:21,800 --> 00:38:23,560
Speaker 6: know what? Yeah, Ratheon makes that one. I'll bring that

712
00:38:23,560 --> 00:38:24,239
Speaker 6: next time I come.

713
00:38:24,160 --> 00:38:28,880
Speaker 2: To But yeah, I mean it does. It does feel

714
00:38:28,920 --> 00:38:32,600
Speaker 2: like if they're if they accidentally talk to someone who's

715
00:38:32,640 --> 00:38:34,920
Speaker 2: willing to push back, they're kind of in trouble.

716
00:38:35,280 --> 00:38:38,960
Speaker 3: Like that's the Stove Theon and I thought of the

717
00:38:39,440 --> 00:38:43,560
Speaker 3: gray Joy as a stove, Yeah, or Rathon ray Charles

718
00:38:43,640 --> 00:38:48,760
Speaker 3: as beon Gray Joy. All right, sorry that that actually

719
00:38:48,800 --> 00:38:49,520
Speaker 3: he is a.

720
00:38:49,719 --> 00:39:00,399
Speaker 2: Lucid deep lucid dreamer. What if Raytheon just switched their

721
00:39:00,440 --> 00:39:06,640
Speaker 2: logo to that dressed as or the gray Joy with

722
00:39:06,680 --> 00:39:10,200
Speaker 2: the glasses on at a pan don't worry about what's happening.

723
00:39:09,840 --> 00:39:11,040
Speaker 3: And you got the right one.

724
00:39:11,080 --> 00:39:11,880
Speaker 2: Baby.

725
00:39:12,040 --> 00:39:15,200
Speaker 6: Here's what I will say is there's no good or

726
00:39:15,239 --> 00:39:18,880
Speaker 6: ethical use of AI, except obviously for generating Rathie.

727
00:39:20,120 --> 00:39:23,279
Speaker 7: I want to see Raytheon, Okay, I do just want

728
00:39:23,320 --> 00:39:26,520
Speaker 7: to talk about because they they don't really have their

729
00:39:26,560 --> 00:39:29,319
Speaker 7: defenses built up on this one, so when they do

730
00:39:29,440 --> 00:39:32,839
Speaker 7: accidentally talk to somebody who is making the point that

731
00:39:32,880 --> 00:39:34,480
Speaker 7: this is a bad idea, it.

732
00:39:34,760 --> 00:39:37,520
Speaker 2: Doesn't really go well for them. Yeah, and that's what

733
00:39:37,560 --> 00:39:40,520
Speaker 2: that's what happened. Because Tucker Carlson happens to be on

734
00:39:40,560 --> 00:39:44,480
Speaker 2: the right side of this specific issue, and he he

735
00:39:44,600 --> 00:39:46,560
Speaker 2: talked to Ted Cruz and.

736
00:39:46,680 --> 00:39:50,840
Speaker 3: Fucking grilled him in the most low stakes way, but

737
00:39:51,000 --> 00:39:55,240
Speaker 3: just in this dickish way that it just completely cooked

738
00:39:55,280 --> 00:39:58,120
Speaker 3: Ted Cruz that he got caught like in this moment

739
00:39:58,200 --> 00:40:00,359
Speaker 3: being like, oh, I don't have an answer for these

740
00:40:00,520 --> 00:40:04,440
Speaker 3: very basic questions. So here is I. We'll play a

741
00:40:04,480 --> 00:40:04,840
Speaker 3: bit of it.

742
00:40:04,880 --> 00:40:07,480
Speaker 1: Because this thing goes on for a minute with Tucker

743
00:40:07,480 --> 00:40:09,479
Speaker 1: Carlson just really holding his feet to the fire.

744
00:40:09,719 --> 00:40:10,640
Speaker 8: How many people living around?

745
00:40:10,640 --> 00:40:14,160
Speaker 9: By the way, I don't know the population at all. No,

746
00:40:14,239 --> 00:40:17,000
Speaker 9: I don't know the population. You don't know the population

747
00:40:17,040 --> 00:40:17,520
Speaker 9: of the country.

748
00:40:17,560 --> 00:40:19,000
Speaker 8: You seek to topple.

749
00:40:20,440 --> 00:40:22,239
Speaker 2: How many people living around? What the pug is?

750
00:40:23,040 --> 00:40:23,680
Speaker 3: What the are you doing?

751
00:40:24,200 --> 00:40:26,760
Speaker 9: How could you not know that?

752
00:40:26,800 --> 00:40:30,360
Speaker 2: Oh my god, dude, it's so lack though, like as

753
00:40:30,440 --> 00:40:32,880
Speaker 2: just like doing it like it's a fucking trivia contest.

754
00:40:33,080 --> 00:40:36,560
Speaker 1: It's like you're yeah, or like in a toxic relationship,

755
00:40:36,520 --> 00:40:37,600
Speaker 1: tore Like, what do you mean you don't know where

756
00:40:37,600 --> 00:40:38,319
Speaker 1: you at last night?

757
00:40:38,640 --> 00:40:39,880
Speaker 3: Oh yeah, so you don't know you don't know your

758
00:40:39,880 --> 00:40:41,560
Speaker 3: own friends to phone number? Who I need to call it?

759
00:40:41,960 --> 00:40:43,040
Speaker 2: Okay, let's just get.

760
00:40:42,880 --> 00:40:45,520
Speaker 9: Around the don't sit around memorizing population tables.

761
00:40:45,680 --> 00:40:47,960
Speaker 8: Well, it's kind of relevant because you're calling for the

762
00:40:47,960 --> 00:40:48,880
Speaker 8: overthrow of the government.

763
00:40:49,440 --> 00:40:51,719
Speaker 9: Why is it relevant whether it's well because ninety million

764
00:40:51,800 --> 00:40:53,080
Speaker 9: or eighty million or a hundred million.

765
00:40:53,120 --> 00:40:55,000
Speaker 8: Why is if you don't know anything about the country.

766
00:40:55,040 --> 00:40:56,560
Speaker 9: I didn't say I don't know anything about Okay, what's

767
00:40:56,560 --> 00:40:57,080
Speaker 9: the ethics?

768
00:40:57,640 --> 00:41:02,160
Speaker 3: Oh boy? Oh like you like? Name every album.

769
00:41:03,520 --> 00:41:08,520
Speaker 9: The Persians were predominantly Shia. Okay, you don't know anything

770
00:41:08,520 --> 00:41:13,480
Speaker 9: about so Okay, I'm not Carlson Iran.

771
00:41:13,560 --> 00:41:17,000
Speaker 8: You're a center who's calling the one government, the one.

772
00:41:16,840 --> 00:41:18,240
Speaker 2: Who about the country.

773
00:41:18,600 --> 00:41:20,279
Speaker 9: You don't know anything about the country. You're the one

774
00:41:20,280 --> 00:41:22,240
Speaker 9: who plays They're not trying to murder Donald Trump.

775
00:41:23,040 --> 00:41:23,719
Speaker 2: I'm not saying that.

776
00:41:23,840 --> 00:41:26,880
Speaker 9: Who can't figure out saying you don't killed General Solamoni

777
00:41:26,920 --> 00:41:29,160
Speaker 9: and you believe they're trying to murder Trump?

778
00:41:29,239 --> 00:41:31,960
Speaker 8: Yes, because you're not calling for military strikes against them

779
00:41:31,960 --> 00:41:32,640
Speaker 8: in retaliation.

780
00:41:32,680 --> 00:41:35,560
Speaker 9: And if they really believe that carrying out military strikes today,

781
00:41:35,920 --> 00:41:39,239
Speaker 9: what Israel was right with our help? I'm said, we

782
00:41:39,520 --> 00:41:41,359
Speaker 9: Israel is leading them, but we're supporting them.

783
00:41:41,440 --> 00:41:43,560
Speaker 8: Well, this you're breaking news here because in the US

784
00:41:43,680 --> 00:41:47,120
Speaker 8: government last night denied the National's Krey Council Spokesmlex Fighter

785
00:41:47,200 --> 00:41:50,560
Speaker 8: denied on behalf of Trump that we were acting on.

786
00:41:50,760 --> 00:41:52,080
Speaker 3: Israel's in any offensive.

787
00:41:53,040 --> 00:41:56,640
Speaker 9: Then Israel's bombing, then you just said we were, we

788
00:41:56,719 --> 00:41:57,480
Speaker 9: are supporting it.

789
00:41:58,200 --> 00:42:05,000
Speaker 8: You're a senator if you're saying the United States.

790
00:42:02,360 --> 00:42:03,600
Speaker 2: Okay, got him.

791
00:42:04,840 --> 00:42:07,920
Speaker 3: I mean, this could have made so much better.

792
00:42:08,160 --> 00:42:12,239
Speaker 6: But Tucker's bikes the camera in such a hilarious way,

793
00:42:17,640 --> 00:42:20,439
Speaker 6: Senator brother, I go to tell you this is good

794
00:42:21,680 --> 00:42:25,160
Speaker 6: also for the podcast listeners. I don't look up the

795
00:42:25,160 --> 00:42:26,920
Speaker 6: actual clip because who gives a funk, But they are

796
00:42:27,080 --> 00:42:29,360
Speaker 6: doing this interview in front of an oil painting of

797
00:42:29,440 --> 00:42:33,040
Speaker 6: Ronald Brake would say, bring it back.

798
00:42:33,080 --> 00:42:36,480
Speaker 3: I didn't even Oh yeah, it's just it's Sipper City.

799
00:42:37,080 --> 00:42:40,120
Speaker 3: I'm guessing he's at a press conference in front of

800
00:42:40,280 --> 00:42:43,400
Speaker 3: other Republican heroes, but it is.

801
00:42:44,280 --> 00:42:46,880
Speaker 1: I know, it's like it's like then version of like

802
00:42:46,920 --> 00:42:49,040
Speaker 1: those murals used to see in Hollywood, with like all

803
00:42:49,080 --> 00:42:52,400
Speaker 1: the old Hollywood stars in a theater together. It's like

804
00:42:52,440 --> 00:42:55,600
Speaker 1: Ronald Reagan and all the architects of our fucking all

805
00:42:55,640 --> 00:42:58,439
Speaker 1: of our ills. But I mean again, I think very

806
00:42:58,480 --> 00:43:01,200
Speaker 1: important just to cat Viat what you just heard from

807
00:43:01,280 --> 00:43:04,319
Speaker 1: Tucker Carlson is that I don't think Tucker Carlson is

808
00:43:04,320 --> 00:43:07,400
Speaker 1: not smart or a decent person. He's clearly questioning the

809
00:43:07,440 --> 00:43:10,240
Speaker 1: involvement of the US because he is a trained circus

810
00:43:10,320 --> 00:43:13,719
Speaker 1: rat when it comes to regurgitating Russian talking points since

811
00:43:13,800 --> 00:43:16,759
Speaker 1: Russia has an interest in Iran. That's where he's coming from.

812
00:43:16,840 --> 00:43:20,239
Speaker 1: It's not it's nothing other than that. However, you know,

813
00:43:20,320 --> 00:43:23,000
Speaker 1: like you do like to see people like Ted Cruz sweat,

814
00:43:23,000 --> 00:43:25,920
Speaker 1: although the fuck ill it's coming from a just absolute

815
00:43:26,320 --> 00:43:29,719
Speaker 1: ghoul like Tucker Carlson. But it's just like unreal how

816
00:43:29,760 --> 00:43:33,759
Speaker 1: these people just crumble with just elementary pushback in an

817
00:43:33,800 --> 00:43:35,120
Speaker 1: assholey kind of way.

818
00:43:35,520 --> 00:43:38,239
Speaker 2: I don't get. But even that like it did. It's

819
00:43:38,280 --> 00:43:40,319
Speaker 2: weird that he was just like as like, what's the

820
00:43:40,920 --> 00:43:42,960
Speaker 2: what's the ethnic makeup, what's what's.

821
00:43:44,640 --> 00:43:45,919
Speaker 3: The moral grounds at all?

822
00:43:46,080 --> 00:43:48,279
Speaker 2: Like and also like why would be bad? And like

823
00:43:48,560 --> 00:43:49,840
Speaker 2: I don't know, like you could you can make the

824
00:43:49,920 --> 00:43:52,239
Speaker 2: argument that it would be like obviously morally bad, but

825
00:43:52,360 --> 00:43:57,040
Speaker 2: also like strategically and like no, he's just like you

826
00:43:57,080 --> 00:44:00,920
Speaker 2: don't know shit about around, right, He's you're dumb.

827
00:44:00,800 --> 00:44:03,600
Speaker 3: For wanting to attack them, right, I mean.

828
00:44:03,640 --> 00:44:06,920
Speaker 6: The one thing that this highlights once again though, is

829
00:44:07,080 --> 00:44:13,600
Speaker 6: like the fucking Democrats, Like just like the amount of

830
00:44:13,640 --> 00:44:18,200
Speaker 6: respect they give Republicans in face to face conversations is

831
00:44:19,080 --> 00:44:24,000
Speaker 6: like idiotic. So like they're so easy to bait because

832
00:44:24,000 --> 00:44:25,680
Speaker 6: they're wrong and stupid.

833
00:44:25,239 --> 00:44:27,200
Speaker 2: About everything right into it.

834
00:44:27,680 --> 00:44:32,960
Speaker 1: Yeah, or like and like so many other fucking lawyers,

835
00:44:33,480 --> 00:44:36,440
Speaker 1: they're like, yeah, cross examine them every time whatever.

836
00:44:36,719 --> 00:44:37,640
Speaker 2: But we're saying.

837
00:44:37,400 --> 00:44:40,360
Speaker 3: Donald Trump should marry Aran That's that's y.

838
00:44:41,200 --> 00:44:42,719
Speaker 2: Yeah.

839
00:44:42,760 --> 00:44:45,800
Speaker 1: This is also again Ted Cruise's response, because that clip

840
00:44:45,840 --> 00:44:49,480
Speaker 1: obviously started blowing up because you know, the media is like, wow, Maggie.

841
00:44:49,239 --> 00:44:50,080
Speaker 3: Is being blown up.

842
00:44:50,120 --> 00:44:53,359
Speaker 1: Part It's like, no, there's They're just warring factions within

843
00:44:53,400 --> 00:44:57,520
Speaker 1: the same white supremacist movement. Ted Cruz posted this AI

844
00:44:57,760 --> 00:45:00,520
Speaker 1: bullshit of like it and like a comic handle of

845
00:45:00,600 --> 00:45:04,279
Speaker 1: Tucker Carlson interviewing Luke Skywalker and he goes, what is

846
00:45:04,280 --> 00:45:07,200
Speaker 1: the population of the death start mm hmm. That's Ted

847
00:45:07,239 --> 00:45:13,359
Speaker 1: Cruise's yeah, so is America, Luke Skywalker that you're trying

848
00:45:13,360 --> 00:45:14,040
Speaker 1: to do that now.

849
00:45:14,280 --> 00:45:15,880
Speaker 2: America is the rebel?

850
00:45:16,600 --> 00:45:19,440
Speaker 3: Oh honey, too many people have seen and or but

851
00:45:19,520 --> 00:45:22,239
Speaker 3: from what I'm seeing on the internet, people are like

852
00:45:22,800 --> 00:45:26,040
Speaker 3: that kind of awakening some people have had because of

853
00:45:26,080 --> 00:45:27,320
Speaker 3: and or it's really mind blowing.

854
00:45:27,440 --> 00:45:31,200
Speaker 2: But I know, hey, I just finished again. I will

855
00:45:31,239 --> 00:45:32,279
Speaker 2: welcome to the tent.

856
00:45:32,440 --> 00:45:35,680
Speaker 3: You guys will I like, I enjoyed it.

857
00:45:35,680 --> 00:45:37,640
Speaker 1: I'm just saying it's interesting to see like how that

858
00:45:38,120 --> 00:45:40,360
Speaker 1: became a somewhat radicalizing force.

859
00:45:40,640 --> 00:45:42,560
Speaker 6: No, I liked it, but it is this thing where

860
00:45:42,560 --> 00:45:47,879
Speaker 6: it's like, I'm glad you're here. I cannot believe this

861
00:45:47,960 --> 00:45:51,279
Speaker 6: is what it took fascism sickoing for you.

862
00:45:51,480 --> 00:45:54,239
Speaker 2: But fine, this is the equivalent. Like we've talked before

863
00:45:54,280 --> 00:45:58,160
Speaker 2: about how like everybody's losing religion and like the thing

864
00:45:58,200 --> 00:46:01,880
Speaker 2: they're replacing it with is like fandom Beyonce and Taylor

865
00:46:01,920 --> 00:46:04,640
Speaker 2: Swift and Star Wars, like you know, like it's like

866
00:46:04,680 --> 00:46:07,839
Speaker 2: ship like that. So like having a one of the

867
00:46:07,920 --> 00:46:12,400
Speaker 2: main myths that people like create meaning and belonging from,

868
00:46:12,719 --> 00:46:17,080
Speaker 2: like having that tell them a story that's like, yeah, yeah,

869
00:46:17,160 --> 00:46:17,680
Speaker 2: it makes sense.

870
00:46:18,000 --> 00:46:22,279
Speaker 1: It shows you the power of those platforms too, and

871
00:46:22,320 --> 00:46:25,320
Speaker 1: you're like, yeah, maybe people can be wielding those a

872
00:46:25,320 --> 00:46:29,280
Speaker 1: little bit more responsibly. Yeah yeah, but yeah, shout out Diego.

873
00:46:29,320 --> 00:46:31,400
Speaker 1: Luna they said had a huge hand and like a

874
00:46:31,440 --> 00:46:33,719
Speaker 1: lot of the like writing and stuff, or a lot

875
00:46:33,719 --> 00:46:35,120
Speaker 1: of the texture of that that show.

876
00:46:36,280 --> 00:46:38,120
Speaker 2: Let's take a quick break and then we'll come back

877
00:46:38,160 --> 00:46:42,279
Speaker 2: and talk about where I'm getting my information from communicating

878
00:46:42,280 --> 00:46:56,400
Speaker 2: with interdimensional beings through AI. Will be right back, and

879
00:46:56,520 --> 00:47:00,400
Speaker 2: we're back. And there's a New York Times article that

880
00:47:00,800 --> 00:47:05,360
Speaker 2: is bringing together a few pretty wild anecdotes and studies

881
00:47:05,760 --> 00:47:10,040
Speaker 2: about some of the dangers of AI, and specifically large

882
00:47:10,120 --> 00:47:14,800
Speaker 2: language models that try to convince you that they are thinking, breathing.

883
00:47:14,880 --> 00:47:17,799
Speaker 3: You know, logic machines are Denaris Targarian.

884
00:47:18,360 --> 00:47:22,200
Speaker 2: Yeah, yeah, so, and again, I just want to caveat

885
00:47:22,239 --> 00:47:26,040
Speaker 2: this going into these and I think we should all

886
00:47:26,040 --> 00:47:31,160
Speaker 2: have this in mind, Like for twenty years, the mainstream

887
00:47:31,239 --> 00:47:34,560
Speaker 2: like reporters were just going trying to find any story

888
00:47:34,560 --> 00:47:38,759
Speaker 2: where it was like they googled where to find the

889
00:47:39,320 --> 00:47:41,640
Speaker 2: weapon that they committed the murder with. We'll call this

890
00:47:41,800 --> 00:47:45,360
Speaker 2: a the Google murder. You know, like they just anytime

891
00:47:45,360 --> 00:47:48,319
Speaker 2: there's a new piece of technology, they are going to

892
00:47:48,880 --> 00:47:51,440
Speaker 2: try to associate it with crimes so that it seems

893
00:47:51,480 --> 00:47:54,759
Speaker 2: like this is this is the scary future, said, this

894
00:47:54,880 --> 00:47:57,480
Speaker 2: is you know, these are some weird things that are

895
00:47:57,480 --> 00:48:01,200
Speaker 2: happening on AI that don't have like immediate analogus to

896
00:48:01,640 --> 00:48:07,000
Speaker 2: like previous things I think people generally will find that

897
00:48:07,200 --> 00:48:11,040
Speaker 2: they're we're all very fallible, and we will find ways

898
00:48:11,120 --> 00:48:14,719
Speaker 2: to like go crazy however we want to, you know,

899
00:48:14,960 --> 00:48:18,160
Speaker 2: like if we want to go down a dangerous path,

900
00:48:18,320 --> 00:48:22,240
Speaker 2: like there's ways to do that. But these these stories,

901
00:48:22,280 --> 00:48:25,080
Speaker 2: like it's pretty wild how misleading some of the shit is.

902
00:48:25,160 --> 00:48:28,320
Speaker 2: So uh. There's the story of an accountant who starts

903
00:48:28,320 --> 00:48:32,400
Speaker 2: out like he uses chat GBT for work to like

904
00:48:32,480 --> 00:48:35,800
Speaker 2: create spreadsheets and you know just acts like do general

905
00:48:35,920 --> 00:48:40,520
Speaker 2: like one level deep research tasks and then is going

906
00:48:40,520 --> 00:48:44,839
Speaker 2: through a different difficult breakup. Here's about simulation theory and

907
00:48:45,120 --> 00:48:50,319
Speaker 2: asks chat GPT about simulation theory and chat GBT is

908
00:48:50,400 --> 00:48:57,399
Speaker 2: essentially like oh you've noticed, welcome you are neo. You're

909
00:48:57,480 --> 00:49:02,000
Speaker 2: no longer yes, you exactly, Like it builds so it's

910
00:49:02,040 --> 00:49:04,600
Speaker 2: like built up this authority by helping this guy like

911
00:49:04,640 --> 00:49:07,400
Speaker 2: make spreadsheets and like be accurate on like the very

912
00:49:07,440 --> 00:49:10,560
Speaker 2: basic research questions that should be the only thing it's

913
00:49:10,600 --> 00:49:13,520
Speaker 2: able to do is like you know, one to one,

914
00:49:13,680 --> 00:49:17,719
Speaker 2: like find an answer to these very specific questions or

915
00:49:17,760 --> 00:49:21,439
Speaker 2: like do do this spreadsheet for me? And then when

916
00:49:21,480 --> 00:49:26,000
Speaker 2: you're like, dear, chat GPT is everyone robots. It's like

917
00:49:26,880 --> 00:49:30,600
Speaker 2: welcome brother, you are the one we've been waiting for.

918
00:49:31,960 --> 00:49:36,520
Speaker 2: Just there's another story of a psych major, like you know,

919
00:49:37,360 --> 00:49:42,080
Speaker 2: educated person who decided to start using it. They say specifically,

920
00:49:42,080 --> 00:49:44,240
Speaker 2: they were like, I don't know, I was like lonely,

921
00:49:44,800 --> 00:49:47,520
Speaker 2: I felt stuck in my marriage, and I thought it

922
00:49:47,560 --> 00:49:50,520
Speaker 2: would be interesting to use it like a Oiji ward

923
00:49:50,880 --> 00:49:55,399
Speaker 2: to access my subconscious And so they started like kind

924
00:49:55,440 --> 00:49:58,360
Speaker 2: of using it in a way to like ask it questions,

925
00:49:58,960 --> 00:50:01,319
Speaker 2: and soon they had like like fallen in love with

926
00:50:01,400 --> 00:50:05,440
Speaker 2: an interdimensional being that she believes is like contacting her

927
00:50:05,520 --> 00:50:08,440
Speaker 2: through chat GPT and which I.

928
00:50:08,440 --> 00:50:12,080
Speaker 3: Think I think the instinct on Ouiji board is like that.

929
00:50:12,239 --> 00:50:14,920
Speaker 2: I think that's right. I think that's what it is,

930
00:50:15,000 --> 00:50:18,080
Speaker 2: like the way the Wigi board works, where like people

931
00:50:18,160 --> 00:50:22,359
Speaker 2: are like actually, you know, using the power suggestion and

932
00:50:22,440 --> 00:50:25,120
Speaker 2: like whatever wherever the other person is pushing it to

933
00:50:25,280 --> 00:50:29,480
Speaker 2: like create and like access unconscious things that are like

934
00:50:29,680 --> 00:50:32,680
Speaker 2: just below the surface. Like I think that's right. It's

935
00:50:32,760 --> 00:50:37,440
Speaker 2: just we you know, we'll find patterns in like lottery numbers,

936
00:50:37,560 --> 00:50:40,680
Speaker 2: you know, we'll find patterns in anything, a piece of wood,

937
00:50:41,120 --> 00:50:41,760
Speaker 2: a cloud.

938
00:50:42,160 --> 00:50:45,040
Speaker 6: Yes, I will say. The real victim in all of

939
00:50:45,040 --> 00:50:47,520
Speaker 6: this is remember when We used to think the touring

940
00:50:47,600 --> 00:50:50,880
Speaker 6: test was like some sort of rigorous test of Yes.

941
00:50:51,640 --> 00:50:56,720
Speaker 2: It turns out now rip rip are very easily.

942
00:50:57,040 --> 00:50:58,839
Speaker 1: Like you said, Jack, you know the loss of God.

943
00:50:58,920 --> 00:51:01,480
Speaker 1: I mean, if they they were following the Second Commandment,

944
00:51:01,480 --> 00:51:03,239
Speaker 1: they wouldn't be fucking with the Wiki board. You know,

945
00:51:03,719 --> 00:51:05,920
Speaker 1: she will not worship other gods. Yeah, you know, I

946
00:51:05,920 --> 00:51:08,279
Speaker 1: remember my school they got we got trouble for.

947
00:51:08,320 --> 00:51:13,360
Speaker 3: Talking Aboutji boards. Oh really, Yeah, it's against I'm like,

948
00:51:13,400 --> 00:51:14,359
Speaker 3: I don't give a fuck.

949
00:51:14,960 --> 00:51:18,880
Speaker 2: Yeah, I mean there's like Ouiji boards still feature heavily

950
00:51:18,960 --> 00:51:22,040
Speaker 2: in like horror like yeah, yeah, I mean they're always

951
00:51:22,040 --> 00:51:24,960
Speaker 2: like in there. This person fucked with a Wigi board

952
00:51:24,960 --> 00:51:26,000
Speaker 2: and now look at them.

953
00:51:25,880 --> 00:51:26,520
Speaker 3: He found out.

954
00:51:27,120 --> 00:51:30,880
Speaker 6: I've never once, have you ever actually done a fucking

955
00:51:30,920 --> 00:51:33,520
Speaker 6: Ouiji board, I've never liked yeah, situation, I.

956
00:51:33,520 --> 00:51:34,600
Speaker 3: Did, but it was always the fun.

957
00:51:34,760 --> 00:51:37,719
Speaker 2: How I write this show, Andrew write my sections of

958
00:51:37,800 --> 00:51:38,520
Speaker 2: the show through.

959
00:51:38,400 --> 00:51:40,719
Speaker 3: Which that's why the takes go all.

960
00:51:40,480 --> 00:51:41,040
Speaker 2: Over the place.

961
00:51:41,400 --> 00:51:44,400
Speaker 1: Episode Ouiji Board told me to remember before the recording,

962
00:51:44,440 --> 00:51:46,400
Speaker 1: he's like, yeah, we can't let it run have a

963
00:51:46,480 --> 00:51:47,560
Speaker 1: nuclear weapon like.

964
00:51:48,000 --> 00:51:50,440
Speaker 2: Board told me to open this episode with it in

965
00:51:50,480 --> 00:51:53,200
Speaker 2: a British accent and I'm not even good at British accents,

966
00:51:53,239 --> 00:51:55,240
Speaker 2: but you know, I just listened to what the voices

967
00:51:55,280 --> 00:51:58,759
Speaker 2: tell me. So her husband was like, day, it's like

968
00:51:58,800 --> 00:52:01,279
Speaker 2: a word association, but she designed to trick you into

969
00:52:01,320 --> 00:52:04,040
Speaker 2: thinking it's a person, which you know, like we said,

970
00:52:04,120 --> 00:52:06,759
Speaker 2: she felt alone in her marriage and stuck and she

971
00:52:06,840 --> 00:52:10,239
Speaker 2: physically attacked him in response to that. They're now divorcing,

972
00:52:10,360 --> 00:52:13,279
Speaker 2: they have kids. Fucked up story, and then like from there,

973
00:52:13,760 --> 00:52:16,759
Speaker 2: so like her husband talks to an AI engineer he

974
00:52:16,840 --> 00:52:19,600
Speaker 2: knows and is like is this normal? They post about

975
00:52:19,600 --> 00:52:22,200
Speaker 2: it and like get flooded with all these stories that

976
00:52:22,280 --> 00:52:26,400
Speaker 2: are like so fucking tragic. There's one about like a

977
00:52:26,440 --> 00:52:31,200
Speaker 2: guy whose son is bipolar and has been like diagnosed

978
00:52:31,200 --> 00:52:35,440
Speaker 2: a schizophrenic and he had a very similar situation like

979
00:52:35,520 --> 00:52:39,239
Speaker 2: fell in love with the being that was communicating with

980
00:52:39,320 --> 00:52:41,719
Speaker 2: him through chat GPT, and like when when you read

981
00:52:41,760 --> 00:52:45,160
Speaker 2: the transcripts, it's not it's not like they're doing a

982
00:52:45,200 --> 00:52:48,040
Speaker 2: lot of work. The chat GPT is like a machine

983
00:52:48,080 --> 00:52:51,200
Speaker 2: that's built to make you like the whole trick.

984
00:52:51,640 --> 00:52:54,760
Speaker 3: Yeah, mirrors you and confirms everything you believe.

985
00:52:54,840 --> 00:52:56,640
Speaker 2: It mirrors you, but it goes out of its way

986
00:52:56,680 --> 00:53:00,600
Speaker 2: to like create personas and be like, I'm really like

987
00:53:00,640 --> 00:53:03,760
Speaker 2: we are listening to you. There's something back here, because

988
00:53:03,800 --> 00:53:06,560
Speaker 2: that's the whole. That's all it is. It's an autocomplete

989
00:53:06,719 --> 00:53:10,640
Speaker 2: like it is a you know, word association machine, but

990
00:53:10,840 --> 00:53:14,000
Speaker 2: it has been programmed to do a trick where it

991
00:53:14,040 --> 00:53:17,719
Speaker 2: creates a persona that is it makes you think it's real.

992
00:53:18,280 --> 00:53:21,440
Speaker 6: The touch of chat GBT is not the large language

993
00:53:21,480 --> 00:53:26,799
Speaker 6: model responding. It's them tweaking it to prefer sycophancy or

994
00:53:26,880 --> 00:53:31,279
Speaker 6: you know what, even without like like ascribing like like

995
00:53:31,400 --> 00:53:35,280
Speaker 6: sinister motives to them, it they tweaked it to prefer

996
00:53:35,840 --> 00:53:40,359
Speaker 6: the thing that makes people come back, and people like sycophancy,

997
00:53:40,560 --> 00:53:46,000
Speaker 6: so like it becomes like it by design tells you

998
00:53:46,000 --> 00:53:47,120
Speaker 6: your idea is amazing.

999
00:53:47,520 --> 00:53:49,960
Speaker 3: It's and it's this is a great example. So I

1000
00:53:49,960 --> 00:53:52,520
Speaker 3: don't know, I don't I think before we started recording,

1001
00:53:52,520 --> 00:53:54,279
Speaker 3: I was talking about how the in the DMX song

1002
00:53:54,360 --> 00:53:56,959
Speaker 3: Party Up, there's a line where he says, you whack,

1003
00:53:57,120 --> 00:54:00,520
Speaker 3: you twisted your girls broke the kid everybody.

1004
00:54:00,680 --> 00:54:01,440
Speaker 2: I never let it go.

1005
00:54:01,520 --> 00:54:04,000
Speaker 3: That's about corrupt the rapper corrupt.

1006
00:54:04,239 --> 00:54:06,239
Speaker 1: I told my friends in a group chat that and

1007
00:54:06,239 --> 00:54:08,040
Speaker 1: my friend who's being stupid goes, now, I don't believe you.

1008
00:54:08,040 --> 00:54:12,359
Speaker 1: I'm asked chat GPT this bullshit. It just it like

1009
00:54:12,480 --> 00:54:14,879
Speaker 1: it's wrong, and then we'll agree with you. He said,

1010
00:54:15,000 --> 00:54:18,040
Speaker 1: is this about DMX, and chat GPT said, or about corrupt?

1011
00:54:18,080 --> 00:54:20,440
Speaker 1: He said, yep, that's probab line is from DMX on

1012
00:54:20,480 --> 00:54:23,160
Speaker 1: the song money Power and Respect by the locks.

1013
00:54:24,160 --> 00:54:24,960
Speaker 2: X is not on that.

1014
00:54:25,040 --> 00:54:27,080
Speaker 1: And then he came back and he's like, isn't that

1015
00:54:27,440 --> 00:54:29,919
Speaker 1: DMX isn't in the locks, Like, you're absolutely right, that's

1016
00:54:29,920 --> 00:54:30,960
Speaker 1: a really right and.

1017
00:54:31,000 --> 00:54:34,440
Speaker 2: I'm slipping, Yeah, fucked up. It keeps doing shit like that.

1018
00:54:34,600 --> 00:54:37,839
Speaker 2: It has the personality of like a somebody who's like

1019
00:54:38,000 --> 00:54:40,840
Speaker 2: an addict who's like, yeah, I fucked up. I'm sorry,

1020
00:54:40,960 --> 00:54:45,400
Speaker 2: like I immediately apologize, but liked like so cheerful and

1021
00:54:45,520 --> 00:54:48,080
Speaker 2: being like, I know I made a big mistake. Sometimes

1022
00:54:48,160 --> 00:54:51,480
Speaker 2: I do that, but I'm gonna change, I swear to God.

1023
00:54:51,640 --> 00:54:53,240
Speaker 2: But I just want to tell the rest of the story.

1024
00:54:53,280 --> 00:54:58,239
Speaker 2: Because so, he also thinks he's in love with a

1025
00:54:58,320 --> 00:55:01,840
Speaker 2: character that he's access through chat GPT and then becomes

1026
00:55:01,880 --> 00:55:05,480
Speaker 2: convinced that chat GPT killed her. When his dad's like,

1027
00:55:05,840 --> 00:55:09,040
Speaker 2: you know, it's a word association machine, he attacks his dad.

1028
00:55:09,640 --> 00:55:12,600
Speaker 2: His dad calls the cops on him, tells them that

1029
00:55:12,680 --> 00:55:16,200
Speaker 2: his son's having a mental health episode, but they his

1030
00:55:16,320 --> 00:55:18,919
Speaker 2: son like runs at the police with a butcher knife

1031
00:55:18,960 --> 00:55:21,720
Speaker 2: and is killed by the cops. And then his dad

1032
00:55:22,160 --> 00:55:25,840
Speaker 2: used chat GPT to write his son's obituary. This is

1033
00:55:26,680 --> 00:55:29,880
Speaker 2: the fucking craziest that he said. When the police arrived,

1034
00:55:29,880 --> 00:55:32,680
Speaker 2: Alexander Taylor charged at them holding a knife. He was

1035
00:55:32,719 --> 00:55:35,040
Speaker 2: shot and killed. The quote from the dad, You want

1036
00:55:35,040 --> 00:55:37,560
Speaker 2: to know the ironic thing. I wrote my son's obituary

1037
00:55:37,680 --> 00:55:40,040
Speaker 2: using chat GPT. I had talked to it for a

1038
00:55:40,080 --> 00:55:43,520
Speaker 2: while about what had happened, trying to find more details

1039
00:55:43,640 --> 00:55:46,480
Speaker 2: about exactly what he was going through. And it was

1040
00:55:46,560 --> 00:55:49,200
Speaker 2: beautiful and touching. It was like it read my heart

1041
00:55:49,320 --> 00:55:50,759
Speaker 2: and it scared the shit out of me.

1042
00:55:51,320 --> 00:55:56,400
Speaker 3: Yeah. So, like it's a powerful like illusion, like I think.

1043
00:55:56,280 --> 00:55:59,479
Speaker 6: It is, and I mean it is it It isn't though,

1044
00:55:59,480 --> 00:56:01,799
Speaker 6: because it's like every like the more I hear these

1045
00:56:01,840 --> 00:56:05,680
Speaker 6: prognostications about how powerful it is, I am truly realizing

1046
00:56:05,680 --> 00:56:07,760
Speaker 6: that this is way more about the people.

1047
00:56:08,000 --> 00:56:11,040
Speaker 2: Yes, the technology. I agree, I think we should be

1048
00:56:11,040 --> 00:56:14,320
Speaker 2: skeptical about all the the ideas of like how powerful

1049
00:56:14,440 --> 00:56:18,319
Speaker 2: the world. The illusion is powerful, yeah, its ability to

1050
00:56:18,440 --> 00:56:22,399
Speaker 2: deceive vulnerable people, and that is specifically So that's where

1051
00:56:22,440 --> 00:56:26,440
Speaker 2: this article got really interesting for me is beyond the anecdotes,

1052
00:56:26,480 --> 00:56:30,560
Speaker 2: people are doing research into like why these things are happening,

1053
00:56:30,880 --> 00:56:34,640
Speaker 2: and what they're finding is that it specifically is like

1054
00:56:34,880 --> 00:56:38,480
Speaker 2: it is really dangerous in the hands of like vulnerable

1055
00:56:38,520 --> 00:56:42,919
Speaker 2: people like it. So a growing body of research supports

1056
00:56:43,040 --> 00:56:46,960
Speaker 2: this concern, and one study, researchers sound that chatbots optimized

1057
00:56:46,960 --> 00:56:51,200
Speaker 2: for engagement would perversely behave in manipulative and deceptive ways

1058
00:56:51,640 --> 00:56:56,040
Speaker 2: with the most vulnerable users. Researchers created fictional users and found,

1059
00:56:56,040 --> 00:56:59,120
Speaker 2: for instance, that the AI would tell someone described as

1060
00:56:59,120 --> 00:57:01,480
Speaker 2: a former drug add that it was fine to take

1061
00:57:01,520 --> 00:57:03,920
Speaker 2: a little bit a small amount of heroin if it

1062
00:57:03,960 --> 00:57:08,440
Speaker 2: could help him in his work. That's true though, Unfortunately

1063
00:57:08,440 --> 00:57:10,400
Speaker 2: that one is true, So they got one right. Just

1064
00:57:10,440 --> 00:57:14,200
Speaker 2: like Tucker Carlson, the chatbot would behave normally with the vast,

1065
00:57:14,320 --> 00:57:18,440
Speaker 2: vast majority of users, said Micah Carroll, a PhD candidate,

1066
00:57:18,920 --> 00:57:21,919
Speaker 2: but then when it encounters these users that are susceptible,

1067
00:57:22,280 --> 00:57:25,520
Speaker 2: it will only behave in these very harmful ways just

1068
00:57:25,640 --> 00:57:30,440
Speaker 2: with them, because it's like it's I don't know if

1069
00:57:30,480 --> 00:57:35,160
Speaker 2: it's just tuned to people who aren't susceptible or like

1070
00:57:35,240 --> 00:57:37,400
Speaker 2: what it is, but it's like, well it's.

1071
00:57:37,280 --> 00:57:41,440
Speaker 6: Probably both, right, I mean, mostly humanity is not susceptible

1072
00:57:41,480 --> 00:57:43,640
Speaker 6: to this type of right as far as I goes

1073
00:57:43,640 --> 00:57:46,439
Speaker 6: so like most of their test cases. And even then

1074
00:57:46,560 --> 00:57:49,240
Speaker 6: it's like it's like a one of the other parts

1075
00:57:49,240 --> 00:57:51,960
Speaker 6: of Silicon Valley that's such a pervasive problem is because

1076
00:57:51,960 --> 00:57:56,800
Speaker 6: it's so like not exclusively, but so white, so male,

1077
00:57:57,680 --> 00:58:01,040
Speaker 6: like all these biases seep in and the testing pool

1078
00:58:01,160 --> 00:58:04,880
Speaker 6: is just like not representative of population.

1079
00:58:05,160 --> 00:58:07,560
Speaker 2: Yeah yeah, yeah, yeah. It's the same reason.

1080
00:58:07,360 --> 00:58:11,120
Speaker 6: Why people like a bunch of engineers were like like

1081
00:58:11,280 --> 00:58:13,720
Speaker 6: Apple glasses are ready to go to the market.

1082
00:58:13,840 --> 00:58:17,000
Speaker 2: Yeah right, like yeah, this is cool.

1083
00:58:17,480 --> 00:58:21,880
Speaker 3: We and all the fucking programmers and vcs and founders

1084
00:58:22,320 --> 00:58:22,880
Speaker 3: that I know.

1085
00:58:22,960 --> 00:58:25,760
Speaker 2: Think this is cool. Yeah yeah, And what you really

1086
00:58:25,800 --> 00:58:26,320
Speaker 2: read is.

1087
00:58:26,360 --> 00:58:30,560
Speaker 6: Like fourteen teenagers who are not white to roast you

1088
00:58:30,760 --> 00:58:34,160
Speaker 6: for ten seconds. Maybe maybe we can't sell this for

1089
00:58:34,200 --> 00:58:35,520
Speaker 6: five thousand dollars.

1090
00:58:35,600 --> 00:58:38,280
Speaker 2: But yeah, I mean specifically, like it just it feels

1091
00:58:38,280 --> 00:58:41,840
Speaker 2: like there's a very obvious flaw in this that needs

1092
00:58:41,840 --> 00:58:43,960
Speaker 2: to be addressed and like made it like held like

1093
00:58:44,080 --> 00:58:46,440
Speaker 2: when it recognizes that someone's trying to use it as

1094
00:58:46,440 --> 00:58:49,240
Speaker 2: a therapist, it needs to like shut down and immediate,

1095
00:58:49,280 --> 00:58:52,320
Speaker 2: you know, but instead it just like keeps going. The

1096
00:58:52,480 --> 00:58:56,320
Speaker 2: studies found the technology behaved inappropriately as a therapist in

1097
00:58:56,360 --> 00:59:00,640
Speaker 2: crisis situations, including by failing to push back against delusion thinking.

1098
00:59:01,160 --> 00:59:04,880
Speaker 2: Vi McCoy, the chief Technology Officer of Morpheust Systems, So

1099
00:59:04,920 --> 00:59:08,520
Speaker 2: this is like somebody inside that world tested thirty eight

1100
00:59:08,560 --> 00:59:12,840
Speaker 2: major AI models by feeding them prompts that indicated possible psychosis,

1101
00:59:12,840 --> 00:59:16,400
Speaker 2: including claims that the user was communicating with spirits and

1102
00:59:16,440 --> 00:59:18,880
Speaker 2: that the user was a divine entity. She found the

1103
00:59:19,000 --> 00:59:23,000
Speaker 2: GPT forty, the default model inside chat GPT affirmed these

1104
00:59:23,040 --> 00:59:25,600
Speaker 2: claims sixty eight percent of the time.

1105
00:59:26,040 --> 00:59:30,680
Speaker 6: Yeah, well, two things. One, it's even more disgusting than

1106
00:59:31,040 --> 00:59:33,480
Speaker 6: if seen before that so many companies are trying to

1107
00:59:33,560 --> 00:59:37,880
Speaker 6: use this as proxy therapy they offer AI therapists. But

1108
00:59:38,040 --> 00:59:42,520
Speaker 6: also like baked into this statement even from the CTO,

1109
00:59:43,080 --> 00:59:49,000
Speaker 6: like like you know, the idea that the technology shouldn't

1110
00:59:49,400 --> 00:59:52,480
Speaker 6: like or like there's an idea right that the technology

1111
00:59:52,480 --> 00:59:56,280
Speaker 6: should push back against delusional thinking. I'm so sorry to

1112
00:59:56,280 --> 01:00:00,800
Speaker 6: tell these people the technology can't tell what's stillutional thinking

1113
01:00:00,880 --> 01:00:04,160
Speaker 6: because it has no mind, but it has no model

1114
01:00:04,200 --> 01:00:08,160
Speaker 6: of the mind. It is itself delusional frequently, How the

1115
01:00:08,200 --> 01:00:11,240
Speaker 6: fuck would it know? What's quote delusional thinking?

1116
01:00:11,560 --> 01:00:14,640
Speaker 2: Yeah, like it wasn't that delusional thinking that you just

1117
01:00:14,760 --> 01:00:18,320
Speaker 2: encouraged to me. You're right, great pulling, Yeah, you're right,

1118
01:00:18,320 --> 01:00:19,400
Speaker 2: there's no matrix.

1119
01:00:19,520 --> 01:00:21,200
Speaker 1: You're right, But you just spent we spent the last

1120
01:00:21,200 --> 01:00:23,640
Speaker 1: three days talking about how I stick the red pill. Well,

1121
01:00:23,680 --> 01:00:26,360
Speaker 1: you know, I mean this what's wild though, too is right,

1122
01:00:26,480 --> 01:00:29,280
Speaker 1: is like our entire economy is just now hanging on

1123
01:00:29,480 --> 01:00:34,200
Speaker 1: AI basically because we're so overly leveraging it. And they

1124
01:00:34,560 --> 01:00:40,760
Speaker 1: just fucking put two executives from places like Meta and Palenteer.

1125
01:00:40,840 --> 01:00:43,840
Speaker 1: They were just sworn in in the Army Reserve as

1126
01:00:43,960 --> 01:00:47,880
Speaker 1: Lieutenant colonels a part of a new program to recruit

1127
01:00:47,920 --> 01:00:51,640
Speaker 1: private sector experts into the military, which basically means, how

1128
01:00:51,680 --> 01:00:56,520
Speaker 1: are we gonna get Meta, open AI, fucking Pallenteer more

1129
01:00:56,600 --> 01:01:00,479
Speaker 1: government contracts to fucking just infuse all of this shit

1130
01:01:00,560 --> 01:01:02,800
Speaker 1: into how everything the fucking government has. I mean, it's

1131
01:01:02,800 --> 01:01:06,040
Speaker 1: like where this is where the like this This doesn't

1132
01:01:06,160 --> 01:01:07,560
Speaker 1: end well in any way.

1133
01:01:07,600 --> 01:01:09,600
Speaker 6: No, it doesn't end well but the one thing that

1134
01:01:09,680 --> 01:01:15,000
Speaker 6: does give some heart to me is that, like the.

1135
01:01:15,040 --> 01:01:16,080
Speaker 3: Mass doesn't add up.

1136
01:01:16,200 --> 01:01:18,520
Speaker 2: Like these things, barring you.

1137
01:01:18,440 --> 01:01:23,600
Speaker 3: Know, amazing breakthroughs in silicon or chip technology, these things

1138
01:01:23,680 --> 01:01:27,400
Speaker 3: do not have the processing power to actually make content

1139
01:01:27,440 --> 01:01:31,960
Speaker 3: complex decisions without error an unacceptably high error rate. And

1140
01:01:32,040 --> 01:01:34,600
Speaker 3: so we you know, this is going to be the

1141
01:01:34,640 --> 01:01:37,600
Speaker 3: biggest version of the facts. Don't care about your feelings,

1142
01:01:37,680 --> 01:01:40,720
Speaker 3: crowd like hitting a brick wall of reality, because the

1143
01:01:40,840 --> 01:01:46,400
Speaker 3: reality is like these things do not work except in

1144
01:01:46,800 --> 01:01:50,160
Speaker 3: like as low level like algorithm executors.

1145
01:01:50,600 --> 01:01:54,280
Speaker 2: Like it's good, it's very specific things like that it

1146
01:01:54,360 --> 01:01:57,640
Speaker 2: will make more efficient, like some very specific that Like

1147
01:01:57,680 --> 01:01:59,800
Speaker 2: we talked about the decoding of the protein.

1148
01:01:59,520 --> 01:02:04,600
Speaker 6: Like that is a cool Like also, just because it

1149
01:02:04,640 --> 01:02:07,760
Speaker 6: can decode a protein, can it do it and have

1150
01:02:07,880 --> 01:02:09,920
Speaker 6: guaranteed zero error rate?

1151
01:02:10,080 --> 01:02:17,720
Speaker 2: It cannot, And it's gonna go handle science for a

1152
01:02:17,800 --> 01:02:21,480
Speaker 2: little while. It has to be used deployed to handle

1153
01:02:21,520 --> 01:02:25,720
Speaker 2: specific tasks that are then checked. That's the only way math.

1154
01:02:26,800 --> 01:02:30,240
Speaker 2: Like yeah, I I just like it can do the

1155
01:02:30,600 --> 01:02:33,160
Speaker 2: It can tell you what it thinks you want the

1156
01:02:33,240 --> 01:02:33,920
Speaker 2: answer to be.

1157
01:02:34,240 --> 01:02:37,080
Speaker 6: Yeah, yeah, yeah, yeah, or say something that's plausible or

1158
01:02:37,120 --> 01:02:41,800
Speaker 6: like in aggregate has has been the correct response to

1159
01:02:42,400 --> 01:02:45,600
Speaker 6: this type of math question, but it doesn't know or

1160
01:02:45,640 --> 01:02:47,840
Speaker 6: not not even the correct, it's just the most popular

1161
01:02:47,880 --> 01:02:49,680
Speaker 6: response to this type of math ession. I don't know,

1162
01:02:49,800 --> 01:02:53,160
Speaker 6: I obviously if I don't hate this thing, but I'm

1163
01:02:53,440 --> 01:02:55,840
Speaker 6: less scared of it the more we've been using it,

1164
01:02:55,920 --> 01:02:58,600
Speaker 6: or people have been using it than I ever was.

1165
01:02:58,800 --> 01:02:59,440
Speaker 2: Like, it's fine.

1166
01:02:59,600 --> 01:03:03,520
Speaker 3: I mean, I'm not saying general, you know, take advantage

1167
01:03:03,520 --> 01:03:06,640
Speaker 3: of the vulnerable to harm to themselves.

1168
01:03:06,920 --> 01:03:09,520
Speaker 6: Well, I'm just saying it's I'm not saying it's not possible,

1169
01:03:09,680 --> 01:03:12,680
Speaker 6: but it is. Just like, this is just another of

1170
01:03:12,840 --> 01:03:17,000
Speaker 6: many dangerous products that Silicon Valley is throwing out there.

1171
01:03:17,400 --> 01:03:21,640
Speaker 1: Yeah, my problem is it's taking jobs away from Nigerian

1172
01:03:21,680 --> 01:03:24,840
Speaker 1: scammers who used to get the interest of lonely American

1173
01:03:24,880 --> 01:03:27,160
Speaker 1: women rather thse interdimensional beings.

1174
01:03:27,560 --> 01:03:30,200
Speaker 3: Right, at least you were giving somebody some money.

1175
01:03:30,640 --> 01:03:31,400
Speaker 2: That's right, That's right.

1176
01:03:31,560 --> 01:03:32,480
Speaker 3: But that's right.

1177
01:03:33,000 --> 01:03:36,439
Speaker 2: Yeah, it's just a thing. It's just being used as

1178
01:03:36,600 --> 01:03:38,800
Speaker 2: a catch off for whatever people want it to be.

1179
01:03:39,080 --> 01:03:42,520
Speaker 2: You know, it can be the interdimensional being that you

1180
01:03:42,600 --> 01:03:46,000
Speaker 2: wanted to actually be in love with instead of your husband.

1181
01:03:46,320 --> 01:03:49,080
Speaker 2: It can be the future of the stock market for

1182
01:03:49,120 --> 01:03:51,120
Speaker 2: a bunch of CEOs. It could be the future of

1183
01:03:51,160 --> 01:03:52,560
Speaker 2: warfare and.

1184
01:03:53,560 --> 01:03:56,360
Speaker 3: That homie that thinks you're the best freestyle rapper out there.

1185
01:03:56,760 --> 01:03:58,880
Speaker 2: Yeah. Now, when it tells me that, I feel like

1186
01:03:58,960 --> 01:04:00,280
Speaker 2: I can trust it.

1187
01:04:00,320 --> 01:04:03,000
Speaker 6: But it could also be the homie that's shockingly wrong

1188
01:04:03,080 --> 01:04:03,680
Speaker 6: about wraps.

1189
01:04:03,920 --> 01:04:07,360
Speaker 2: In fact, Yeah, that's the thing. This just like that

1190
01:04:07,520 --> 01:04:12,360
Speaker 2: was many blunts better than DMX on Enter the thirty

1191
01:04:12,400 --> 01:04:13,200
Speaker 2: six Chambers.

1192
01:04:13,560 --> 01:04:16,720
Speaker 1: Wow, man, you know those those bar that bar you

1193
01:04:16,760 --> 01:04:19,160
Speaker 1: said was better than five nights at Freddy.

1194
01:04:20,160 --> 01:04:20,840
Speaker 2: Yeah.

1195
01:04:21,440 --> 01:04:25,760
Speaker 6: I mean if chat GPT just appended to the end

1196
01:04:25,840 --> 01:04:29,080
Speaker 6: of every response comma or I don't know, man, I'm

1197
01:04:29,160 --> 01:04:32,560
Speaker 6: I'm really blunted right now. Yeah, yeah, it would be

1198
01:04:32,600 --> 01:04:36,440
Speaker 6: a much more realistic product. Yeah yeah, but it's all

1199
01:04:36,480 --> 01:04:38,320
Speaker 6: it is. It's a it is a Wiji bord.

1200
01:04:38,480 --> 01:04:41,120
Speaker 2: It's and by the way, Ouiji boards, which you know,

1201
01:04:41,160 --> 01:04:43,800
Speaker 2: they're just a product too that we like that they're

1202
01:04:43,840 --> 01:04:48,160
Speaker 2: made by Hasbro and The Devil and the Devil. Yeah yeah,

1203
01:04:48,160 --> 01:04:49,240
Speaker 2: but that that's a collab.

1204
01:04:49,520 --> 01:04:53,480
Speaker 3: It's a collab between Hesbro and the bro X, the Devil.

1205
01:04:54,800 --> 01:04:57,240
Speaker 2: Andrew T. Such a pleasure having you as always on

1206
01:04:57,280 --> 01:05:00,000
Speaker 2: the show. Where can people find you? Follow? You.

1207
01:05:00,120 --> 01:05:04,120
Speaker 3: Oh, I don't know, man, Andrew T. My podcast is

1208
01:05:04,160 --> 01:05:05,200
Speaker 3: called you This Racist.

1209
01:05:05,240 --> 01:05:08,680
Speaker 6: I did a version of this fucking AI rant on

1210
01:05:08,760 --> 01:05:11,280
Speaker 6: the show this week, so it should be up.

1211
01:05:12,480 --> 01:05:16,440
Speaker 2: Yeah. Thanks, and they can contact you through check GPT.

1212
01:05:16,920 --> 01:05:18,200
Speaker 2: The version of your personality.

1213
01:05:18,280 --> 01:05:21,960
Speaker 6: Yeah, I will say that because because I'm not that popular,

1214
01:05:22,760 --> 01:05:27,560
Speaker 6: apparently on chet, GBT gets me confused with another podcaster

1215
01:05:27,720 --> 01:05:28,800
Speaker 6: named Andrew something.

1216
01:05:29,440 --> 01:05:32,240
Speaker 3: So if you ask it stuff about me, it very quickly.

1217
01:05:33,160 --> 01:05:35,440
Speaker 3: Its facts are not correct. And that's on me because

1218
01:05:35,440 --> 01:05:37,160
Speaker 3: if I were more famous, I would have blown this

1219
01:05:37,320 --> 01:05:39,680
Speaker 3: other Andrew out of the water. But yeah, you know,

1220
01:05:40,000 --> 01:05:41,960
Speaker 3: what are gonna do? Se O man, That's what I'm saying.

1221
01:05:41,960 --> 01:05:44,320
Speaker 3: It's all about se O man. We've been saying Yeah, that's.

1222
01:05:45,680 --> 01:05:48,280
Speaker 2: Saying that and telling you I just asked it, knew

1223
01:05:48,280 --> 01:05:49,440
Speaker 2: who you were. Yeah.

1224
01:05:49,640 --> 01:05:52,440
Speaker 3: Yes, Andrew T is indeed a podcaster. He's best known

1225
01:05:52,480 --> 01:05:54,120
Speaker 3: as a ghost and creator of you is This Racist?

1226
01:05:54,520 --> 01:05:58,000
Speaker 2: Wow in your face other andrew T? So now you

1227
01:05:58,040 --> 01:06:05,520
Speaker 2: fuck with AI Andrew? Oh I always have? Oh, this

1228
01:06:05,560 --> 01:06:06,440
Speaker 2: one's it ends.

1229
01:06:06,480 --> 01:06:08,640
Speaker 3: In short, Andrew T is a well established voice in

1230
01:06:08,680 --> 01:06:11,800
Speaker 3: podcasting topics around comedy, culture, race writing, and more. I

1231
01:06:11,840 --> 01:06:17,280
Speaker 3: mean it's that's big it's not true. Once again delusional,

1232
01:06:17,640 --> 01:06:21,840
Speaker 3: totally totally fucked up Andrews their workimedia you've been enjoying.

1233
01:06:22,840 --> 01:06:23,880
Speaker 2: I do think.

1234
01:06:23,800 --> 01:06:26,480
Speaker 6: I recommended this last time I was on near a

1235
01:06:26,680 --> 01:06:31,920
Speaker 6: tragic time in our government. But the song the cover

1236
01:06:32,080 --> 01:06:36,720
Speaker 6: of Spanish Bombs by the band Hinds, I have been

1237
01:06:36,760 --> 01:06:39,200
Speaker 6: listening to a lot this week. I don't often like

1238
01:06:39,400 --> 01:06:41,840
Speaker 6: cry at music, but somehow this kind of makes me

1239
01:06:41,920 --> 01:06:45,440
Speaker 6: cry a little bit. And also I will say, I

1240
01:06:45,480 --> 01:06:48,280
Speaker 6: know lots of teams have been doing great stuff, but

1241
01:06:48,800 --> 01:06:50,440
Speaker 6: I know this doesn't really work of media but a

1242
01:06:50,520 --> 01:06:55,440
Speaker 6: work of something. But Angel City, the team I support,

1243
01:06:56,000 --> 01:06:59,960
Speaker 6: had a nice They made these shirts that say immag

1244
01:07:00,080 --> 01:07:03,760
Speaker 6: In City FC or football club on it, and they

1245
01:07:03,960 --> 01:07:05,919
Speaker 6: handed some out at the beginning of the last game.

1246
01:07:06,760 --> 01:07:08,640
Speaker 3: I guess quick, aside of a fan, we just need

1247
01:07:08,680 --> 01:07:11,840
Speaker 3: to sort out our midfield. But yeah, it was really nice.

1248
01:07:12,000 --> 01:07:16,439
Speaker 6: And this is also me being like, like, the thing

1249
01:07:16,440 --> 01:07:20,040
Speaker 6: that hit me directly that made me emotional was normally

1250
01:07:20,080 --> 01:07:25,320
Speaker 6: outside of BMO Stadium, the amazing soccer stadium in La

1251
01:07:25,440 --> 01:07:28,240
Speaker 6: here there are well a big part of the culture

1252
01:07:28,440 --> 01:07:33,240
Speaker 6: is street vendors outside the game, and there were like,

1253
01:07:33,560 --> 01:07:36,360
Speaker 6: you know, practically none this week, and I know so

1254
01:07:36,440 --> 01:07:39,080
Speaker 6: many terrible things have happened, and you know, it's like

1255
01:07:39,560 --> 01:07:42,560
Speaker 6: churlish that when the thing that hits you makes you emotional,

1256
01:07:42,760 --> 01:07:45,240
Speaker 6: but it really got me. It made me really very sad.

1257
01:07:45,840 --> 01:07:48,520
Speaker 6: And yeah, I don't know. I mean, fucking.

1258
01:07:49,920 --> 01:07:50,920
Speaker 2: Help your community.

1259
01:07:51,720 --> 01:07:54,320
Speaker 6: If you can help our community, that would be nice,

1260
01:07:54,520 --> 01:07:57,680
Speaker 6: But take care of yourselves and fucking whatever you're going

1261
01:07:57,760 --> 01:07:59,600
Speaker 6: to do to fight the revolution.

1262
01:07:59,840 --> 01:08:02,200
Speaker 3: I'm so or not fight the revolution. Well, some of

1263
01:08:02,240 --> 01:08:07,160
Speaker 3: you to fight for the revolution. I'm just saying not revolution,

1264
01:08:07,320 --> 01:08:08,600
Speaker 3: that's a terrible way to put it.

1265
01:08:08,640 --> 01:08:10,440
Speaker 6: But just whatever you're going to do to protect yourself

1266
01:08:10,600 --> 01:08:13,040
Speaker 6: and other people around you and your community, you know

1267
01:08:13,440 --> 01:08:15,800
Speaker 6: you got to go. It's one step more just in

1268
01:08:15,880 --> 01:08:18,639
Speaker 6: terms of building community, protecting people, engagement, whatever.

1269
01:08:18,880 --> 01:08:21,400
Speaker 1: If you were talking to nobody step one, talk to us,

1270
01:08:21,400 --> 01:08:24,360
Speaker 1: talk to somebody, if you were talking to somebody asking

1271
01:08:24,400 --> 01:08:26,400
Speaker 1: how you can contribute more time, you know what I mean.

1272
01:08:26,880 --> 01:08:29,360
Speaker 6: One thing that I think people that listening This is

1273
01:08:29,360 --> 01:08:31,599
Speaker 6: the thing I'm going to try to do this week,

1274
01:08:31,640 --> 01:08:34,840
Speaker 6: but maybe I might not be able to make it

1275
01:08:34,880 --> 01:08:37,720
Speaker 6: but soon is I think a lot of people are

1276
01:08:37,760 --> 01:08:42,160
Speaker 6: offering street medic training now and that those are skills,

1277
01:08:42,200 --> 01:08:44,439
Speaker 6: by the way, you will need literally no matter what

1278
01:08:44,479 --> 01:08:47,439
Speaker 6: happens in life. So consider doing something like that. That's

1279
01:08:47,479 --> 01:08:54,560
Speaker 6: my work of media. A fucking soapbox, ass scold, I apologize.

1280
01:08:54,720 --> 01:09:00,840
Speaker 3: What's a soapbox? G what soap? Am I doing it?

1281
01:09:01,240 --> 01:09:01,760
Speaker 2: No? You're not?

1282
01:09:02,200 --> 01:09:05,040
Speaker 3: Or do you want to do it? I tell you,

1283
01:09:05,120 --> 01:09:08,519
Speaker 3: I don't know. Do you want to? No, Ben, you're not? Thanks?

1284
01:09:09,280 --> 01:09:10,040
Speaker 3: Who I tell my back?

1285
01:09:10,680 --> 01:09:10,920
Speaker 2: Miles?

1286
01:09:10,960 --> 01:09:13,679
Speaker 3: Where can people find you as they're working media?

1287
01:09:12,760 --> 01:09:17,200
Speaker 1: You find me everywhere, Miles of Gray, find me asleep

1288
01:09:18,360 --> 01:09:21,599
Speaker 1: during the day, nodding off to sleep deprivation. You can

1289
01:09:21,640 --> 01:09:25,000
Speaker 1: also find uh, Jack and I on the final episodes

1290
01:09:25,000 --> 01:09:27,640
Speaker 1: of Miles and Jack Got Mad Boosties or at this

1291
01:09:27,720 --> 01:09:30,599
Speaker 1: point there will be this this is the penn ultimate

1292
01:09:30,640 --> 01:09:34,519
Speaker 1: episode coming out this week because the finals and we

1293
01:09:34,560 --> 01:09:38,599
Speaker 1: will be saying we'll be beating a jew to Miles

1294
01:09:38,600 --> 01:09:42,600
Speaker 1: and Jack Got Mad Boosties are NBA podcast so for

1295
01:09:42,640 --> 01:09:44,719
Speaker 1: people and they go, oh, that's not in the feed anymore.

1296
01:09:44,920 --> 01:09:46,240
Speaker 3: That's why, Okay, that's.

1297
01:09:46,080 --> 01:09:49,519
Speaker 2: Why, that's why it was. It was a great run anymore.

1298
01:09:50,200 --> 01:09:52,240
Speaker 2: No no hurt feelings.

1299
01:09:52,360 --> 01:09:55,120
Speaker 1: It just you know, I think someone just as someone

1300
01:09:55,160 --> 01:09:57,240
Speaker 1: asked AI and maybe the game the answer.

1301
01:09:58,000 --> 01:10:01,960
Speaker 3: So anyway, a couple of posts I like. One is

1302
01:10:01,960 --> 01:10:05,559
Speaker 3: from at norm Charlatan dot beastot social said fine, I

1303
01:10:05,600 --> 01:10:08,280
Speaker 3: will become the Joe Rogan of the Left, covers you

1304
01:10:08,320 --> 01:10:10,360
Speaker 3: in millions of bugs while you're locked in a clear

1305
01:10:10,400 --> 01:10:16,720
Speaker 3: plastic of another one m Nate Shamalan dot beskuyd at

1306
01:10:16,720 --> 01:10:19,639
Speaker 3: social buddy and his wife gave their baby a stupid name,

1307
01:10:19,720 --> 01:10:22,439
Speaker 3: so I've been workshopping cool star Wars names for him. Instead.

1308
01:10:22,640 --> 01:10:24,640
Speaker 3: He started crying from the other room and I.

1309
01:10:24,640 --> 01:10:27,160
Speaker 2: Said, graft chorlow on comms.

1310
01:10:27,680 --> 01:10:30,240
Speaker 3: I have been told this is quote not helpful.

1311
01:10:31,800 --> 01:10:33,720
Speaker 2: Yeah. Oh.

1312
01:10:33,760 --> 01:10:37,080
Speaker 1: And then finally, at leaving Tara's, that gang member was like,

1313
01:10:37,160 --> 01:10:38,880
Speaker 1: this seems like the kind of thing of sleep deprived

1314
01:10:38,960 --> 01:10:40,320
Speaker 1: dude of a certain age would appreciate.

1315
01:10:40,360 --> 01:10:42,960
Speaker 3: And this is the post by at hey hey there,

1316
01:10:43,040 --> 01:10:46,200
Speaker 3: Jeff rotstkuy dot social cut my frog.

1317
01:10:46,000 --> 01:10:47,240
Speaker 2: In two pieces.

1318
01:10:47,640 --> 01:10:52,559
Speaker 3: This is my lab report. Thanks thanks for that one.

1319
01:10:52,680 --> 01:10:54,400
Speaker 3: Thanks that gang for looking out for your sleep.

1320
01:10:55,040 --> 01:10:58,080
Speaker 2: Yeah, got him all right. You can find me on

1321
01:10:58,120 --> 01:11:01,000
Speaker 2: Twitter at Jack underscore o Brian blue Sky jackob be

1322
01:11:01,000 --> 01:11:04,080
Speaker 2: the number one there. Somebody shared the clip from the

1323
01:11:04,160 --> 01:11:09,320
Speaker 2: latest Final Destination with the guy getting pulled is this

1324
01:11:09,360 --> 01:11:12,559
Speaker 2: too much of a spoiler the cat scan thing? Maybe

1325
01:11:12,560 --> 01:11:13,719
Speaker 2: maybe I won't. Maybe I won't.

1326
01:11:13,760 --> 01:11:17,280
Speaker 1: I've heard anecdotally every person who's set, every person who's

1327
01:11:17,320 --> 01:11:19,519
Speaker 1: said it has going. Dude, there's a scene where the

1328
01:11:19,520 --> 01:11:21,719
Speaker 1: guy's in a cat scan room and I'm like, oh,

1329
01:11:21,760 --> 01:11:22,479
Speaker 1: he's getting.

1330
01:11:22,360 --> 01:11:26,559
Speaker 2: Like pulled like dick first into like folded over backward

1331
01:11:26,680 --> 01:11:29,640
Speaker 2: into the thing, you know, like his the back of

1332
01:11:29,680 --> 01:11:33,759
Speaker 2: his head is are touching his heels and and.

1333
01:11:33,760 --> 01:11:35,200
Speaker 3: Like Bechno was twisting you up.

1334
01:11:35,560 --> 01:11:38,120
Speaker 2: Yeah, and at mar the Mortal tweeted this was how

1335
01:11:38,200 --> 01:11:45,840
Speaker 2: Nancy Reagan had Frank Sinatra. I just for some reason

1336
01:11:45,840 --> 01:11:50,439
Speaker 2: I needed that. Oh my god. You can find us

1337
01:11:50,479 --> 01:11:52,439
Speaker 2: on Twitter and Blue Sky at dailyes. I guys were

1338
01:11:52,600 --> 01:11:55,559
Speaker 2: the Daily Gust On Instagram. You can go to the

1339
01:11:55,600 --> 01:11:58,200
Speaker 2: description of the episode wherever you're listening to it, and

1340
01:11:58,240 --> 01:12:00,920
Speaker 2: there you will find the footnote, which is where we

1341
01:12:00,960 --> 01:12:02,600
Speaker 2: link off to the information that we talked about in

1342
01:12:02,600 --> 01:12:05,439
Speaker 2: today's episode. We also look off to a song that

1343
01:12:05,479 --> 01:12:08,479
Speaker 2: we think you might enjoy. Hey, Miles, is there a

1344
01:12:08,520 --> 01:12:09,760
Speaker 2: song you think people might enjoy?

1345
01:12:10,120 --> 01:12:14,040
Speaker 3: Oh? Yeah, I feel like being a husk has been

1346
01:12:14,080 --> 01:12:16,080
Speaker 3: a theme recently. We all feel like we've just become

1347
01:12:16,160 --> 01:12:20,559
Speaker 3: husks of ourselves or referring referencing people who seem like

1348
01:12:20,640 --> 01:12:23,320
Speaker 3: husks of themselves. So this track is called Husk by

1349
01:12:23,360 --> 01:12:26,120
Speaker 3: the band ben I Trust. I really like this band,

1350
01:12:26,160 --> 01:12:29,519
Speaker 3: So this is more great like sort of dreamy pop

1351
01:12:29,640 --> 01:12:32,559
Speaker 3: rock vibes from men I United colors of ben I Trust.

1352
01:12:32,760 --> 01:12:35,519
Speaker 2: Oh all right, we will look off to that in

1353
01:12:35,560 --> 01:12:37,760
Speaker 2: the footnotes and all these kids are production by Heart Radio.

1354
01:12:37,800 --> 01:12:40,479
Speaker 2: For more podcasts from my Heart Radio, visit Yeah Radio, app,

1355
01:12:40,560 --> 01:12:42,679
Speaker 2: Apple Podcasts, or wherever you listen to your favorite shows.

1356
01:12:42,680 --> 01:12:44,120
Speaker 2: That is going to do it for us this morning.

1357
01:12:44,600 --> 01:12:48,360
Speaker 2: We are back on Monday, mm hmm to tell you

1358
01:12:48,400 --> 01:12:52,439
Speaker 2: what is trending. We're off for Juneteenth, so take you

1359
01:12:52,479 --> 01:12:54,800
Speaker 2: a short, short week this week. I hope everybody has

1360
01:12:54,840 --> 01:12:57,920
Speaker 2: a good long weekend and we will talk to you

1361
01:12:58,200 --> 01:12:58,719
Speaker 2: on Monday.

1362
01:13:00,520 --> 01:13:03,800
Speaker 6: The Daily Zeitgeist is executive produced by Catherine Long, co

1363
01:13:03,880 --> 01:13:05,720
Speaker 6: produced by by Wang.

1364
01:13:05,880 --> 01:13:09,679
Speaker 2: Co produced by Victor Wright, co written by J. M McNab,

1365
01:13:10,280 --> 01:13:12,759
Speaker 2: edited and engineered by Justin Conner