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Speaker 1: The male archetype. I'm either great or sad or both

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Speaker 1: at the same time. Yeah, mostly mostly angry because that.

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Speaker 2: Was me when I would get when I got taken over,

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Speaker 2: Like I was never able to just be straight up angry,

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Speaker 2: like I was c yeah you know what I mean.

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Speaker 1: We were like fuck you, but I was like freaking

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Speaker 1: oh yeah, yeah. It's a huberty for me to like

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Speaker 1: really push the sadness down and just get angry. I

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Speaker 1: realized they're like, you can actually turn.

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Speaker 3: On get angry.

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Speaker 1: I don't get mad, I get weepy.

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Speaker 3: The new movie it would be great.

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Speaker 1: It would be impossible to mak voice to start breaking.

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Speaker 2: I know that's funny too, because I see like, uh,

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Speaker 2: my friends, like older kids who are like in that era,

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Speaker 2: and like I hear crack and I'm like, oh boy,

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Speaker 2: I know that.

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Speaker 1: I know that ship. You can't you can't quite get.

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Speaker 1: It's just that I'm so horny. That's why my voice

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Speaker 1: is cracking. It's like that I'm good bro. Meme. God,

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Speaker 1: my kid said something bro what they called Chewbacca a

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Speaker 1: hairy bro yesterday. I was like, fuck.

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Speaker 2: Jack, even I didn't want to say this, but you've

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Speaker 2: lost your kids, man, Yeah, that's over. They're gonna be

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Speaker 2: fucking asking for gold chains.

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Speaker 1: You send them over to Uncle Miles when they were

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Speaker 1: the chain. I'll get them. I'll get them set up.

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Speaker 1: I'll get them sorted out real good. Actually, because like

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Speaker 1: outside of the T shirt, all these.

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Speaker 2: Chains that I got the of the my house burned down,

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Speaker 2: I like hit him up. I was like, hey, can

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Speaker 2: I get you can get a discount like I bought.

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Speaker 2: I bought a lot of shit from you. They just

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Speaker 2: replaced every single thing I bought. So if your kids

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Speaker 2: need a Lucy bro I got him on deck.

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Speaker 1: Hell yeah they should do. I could.

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Speaker 2: Oh man, your kids already be wearing chains. They're gonna

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Speaker 2: be having poofy gen z hair.

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Speaker 1: Oh Jack, you're gonna have a couple of fucking broccoli heads.

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Speaker 1: But they have straight up they have the straightest hair

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Speaker 1: Asian right, and they're gonna start getting perms Asian smart.

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Speaker 1: You've already got it. You've already We got them in

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Speaker 1: the in the chair three hours with I pad in

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Speaker 1: front of it, you know, with the big big bubble dryer.

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Speaker 1: Oh yeah, but you got the other ones. We got

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Speaker 1: to pull them through like the rubber caps. So you

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Speaker 1: really get that curl on it. Yeah, we actually did

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Speaker 1: try it with my nine year old. My wife was like,

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Speaker 1: I want, I want volume because his hair is just

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Speaker 1: She was like, I was there, I want I want

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Speaker 1: to go his hair closer to God and his They

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Speaker 1: were like, not even God can help this kid's hair.

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Speaker 1: It was straight within like a week. It was just

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Speaker 1: I remember. It's interesting because you you kind of naturally

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Speaker 1: have the broccoli head like I do naturally have a

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Speaker 1: little bit of a funk out of that hair. Oh

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Speaker 1: that'll brock up real. Oh yeah, guy just walks up

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Speaker 1: to every morning, Jack, look for the broccoli look in

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Speaker 1: the mirror. Yeah. The fact that broccoli hair is popular

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Speaker 1: right now is a real God send to me. Not

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Speaker 1: ever having to do anything with my hair. That's what

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Speaker 1: I wake up looking like. Oh God, oh you're gonna

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Speaker 1: shoot me. Oh no, shoot me? Oh god. Oh all right,

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Speaker 1: here we go, Hello the Internet, Welcome to this whip

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Speaker 1: trend edition of n's.

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Speaker 3: Of iHeart Radio.

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Speaker 1: As a podcast, we take a deep dive into American

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Speaker 1: chair consciousness. And it is, of course Monday morning, September eighth.

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Speaker 1: My name is Jack O'Brien. That over there is mister

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Speaker 1: my too. Loud, too loud, too loud, loud for the miners.

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Speaker 2: Gray, I'm sniffing your ear hole, Mark Sungerbro, because I'm

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Speaker 2: giving you the rear naked.

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Speaker 3: Your oh man.

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Speaker 2: Yeah, great times, great times, Mark Zuckerberg, Oh my god.

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Speaker 1: Our boy, our boy boy number one real nice. Yeah

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Speaker 1: we did that. Uh so this episode, we tell you

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Speaker 1: what was trending over the weekend's trending on this Monday

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Speaker 1: morning in the cold open. They don't even know what

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Speaker 1: we're taking. Who knows? Who can say? I don't even know,

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Speaker 1: to be honest, So I was just doing my impression

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Speaker 1: of Hans Gruber's impression of American before we started. Oh god,

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Speaker 1: oh no, you shoot me, Paul Geez. Do your kids

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Speaker 1: know that? Kids know that I haven't watched I heard yet. No,

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Speaker 1: but uh it's coming. I watched Diehard at eight. I'm realizing,

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Speaker 1: like I watched it when I was younger than my

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Speaker 1: oldest kid.

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Speaker 2: Dude, I was watching whatever was on TV from four

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Speaker 2: years old.

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Speaker 1: Yeah, my friend I went to I slept over at

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Speaker 1: my friend's house and they just had that shit on

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Speaker 1: like the loop, you know, the blank VHS, and we

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Speaker 1: watched Oh my god, yeah, this is the greatest thing.

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Speaker 3: I've ever seen.

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Speaker 1: My friend had shit.

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Speaker 2: My one friend had that like naughty VHS tape where

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Speaker 2: whenever he knew there was gonna be boobies on the TV,

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Speaker 2: he would recorded. So he had this like forty five

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Speaker 2: minute long VHS tape with like the most ill timed

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Speaker 2: like recordings, Like he would miss.

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Speaker 1: It, like watching it and you just see somebody end

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Speaker 1: of a sex scene and he's like missed that one.

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Speaker 2: He's like, I forgot about that one.

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Speaker 1: Yeah.

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Speaker 3: We used to have to fucking record ship off the radio.

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Speaker 1: That was like a event for me and my older

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Speaker 1: sister when we got like a tape deck with a

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Speaker 1: radio and you can hit record and like catch the

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Speaker 1: last thirty seconds of a song.

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Speaker 2: You Like, there was nothing better though than when you

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Speaker 2: caught that shit clean. Yes, Like there were times I

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Speaker 2: remember I I was trying to download Aliyah's Try Again

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Speaker 2: because at the time this was really pre internet where

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Speaker 2: you knew anything, and they weren't like unless you heard

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Speaker 2: the DJ kick the song off, you didn't know what

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Speaker 2: it was. And I would always hear it in the middle,

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Speaker 2: I'm like, what the fuck is this Aliyah song? Which

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Speaker 2: I caung the radio? They would never tell me or

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Speaker 2: could never answered. And I just one of those days.

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Speaker 1: I was at my tape deck and I was like,

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Speaker 1: the next song is going to be try again, and

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Speaker 1: I fucking it like you didn't.

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Speaker 3: I have no wammy dang boom, you know what, it's.

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Speaker 1: Been a long time, long time. I was like, fuck,

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Speaker 1: why go?

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Speaker 3: I mean that shows that you were taking the message

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Speaker 3: of the.

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Speaker 1: Song to heart. You didn't exactly it first, exactly picked

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Speaker 1: yourself right back up and recorded that I.

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Speaker 2: Can dust it off and try again this cassette tape.

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Speaker 2: All right, So we tell you what's trending.

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Speaker 1: We also let you get to know us a little

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Speaker 1: bit better by telling you some stuff that we think

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Speaker 1: is overrated, some stuff we think is underrated. Miles, you

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Speaker 1: want to kick us off with U. I started with overrated,

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Speaker 1: which I don't think we usually do. You know what's

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Speaker 1: something you think is over it? It gives us shit, man,

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Speaker 1: we're fucking fucking I don't give what you call it

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Speaker 1: war crimes or overrated or underrated.

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Speaker 2: So you'll get to that streaming the development style that

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Speaker 2: we are, we find ourselves in in the streaming war

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Speaker 2: so development of like the shows that these networks choose

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Speaker 2: to make and put in front of us and say

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Speaker 2: this is the new ship.

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Speaker 1: Y'all are gonna fucking slop up. Yeah, because I just saw,

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Speaker 1: like so Showgun huge hit. You know, every boomer man

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Speaker 1: had that book. I feel like when I went into

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Speaker 1: some of my friend's dad's like office or bookshelf, like

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Speaker 1: the thick ass paperback curling. It was so thick, dude,

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Speaker 1: just tattered, and then so many dads being like covered

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Speaker 1: in You're Japanese, you know about this? I'm like, no,

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Speaker 1: I don't, but anyway, I'm just here to smoke weed

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Speaker 1: in your garage. Miles, here to smoke weed. Smoke. Don't

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Speaker 1: ask me about Japanese shit.

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Speaker 3: Please please fuck okay, like you're a.

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Speaker 1: Handy man who just comes by. Yeah, it's just Miles.

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Speaker 1: I'm just here to smoke. Were to smoke weed. Man,

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Speaker 1: Just keep doing your you know, hide your affair sloppily.

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Speaker 1: Have you read Shogun back? Sorry about my dad? Still

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Speaker 1: haven't Still haven't all good?

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Speaker 2: So anyway, Showgun Big Hit Awards, Darling to boot. I

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Speaker 2: just saw an announcement for Netflix is basically like, oh,

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Speaker 2: so y'all like Japanese shit because they are releasing their

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Speaker 2: own feudal Japan samurai show called Last Samurai Standing, which

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Speaker 2: unfortunately is not a reality competition show.

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Speaker 1: Is it starring Tim What's isn't Tim the tool Man Taylor?

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Speaker 2: But I think Eliza sh Lessenger wins in it?

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Speaker 1: Wasn't she on Last Comic Standing? Anyway? I don't even

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Speaker 1: know who was on that.

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Speaker 2: All that to say is I was like, great that

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Speaker 2: like it like topically, when you look at it, you're like,

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Speaker 2: this just is it reads like Showgun except this is

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Speaker 2: more action based because it's based on like an existing

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Speaker 2: like series of books and manga that actually does like

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Speaker 2: the story is about a competition with samurai where like

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Speaker 2: they get a point for killing each other.

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Speaker 1: It's sort of like the gist of it.

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Speaker 2: But when I saw this, I was just the thing

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Speaker 2: I just went is like, oh so Netflix needed their

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Speaker 2: own showgun thing?

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Speaker 1: And then I'm like, why not just make every I

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Speaker 1: say this all the time.

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Speaker 2: It's just so disheartening to see just them being like,

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Speaker 2: what other ip is there that hasn't been tapped?

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Speaker 1: That's like Showgun that we can make. So I read

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Speaker 1: in a book once, Yeah, let's go with that.

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Speaker 2: It always has to It's like the style is always

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Speaker 2: just like, oh, what was popping one year ago?

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Speaker 1: Okay, make our version of that. So it takes a

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Speaker 1: long time to get this shit together. Yeah, I mean

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Speaker 1: it's coming out.

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Speaker 2: Of November, so you know, probably the second the announced showgun,

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Speaker 2: they're like, where the fuck is our showgun?

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Speaker 1: Yeah? I mean you get because everything is based on

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Speaker 1: data points for them. Yeah, you like, I'm almost positive

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Speaker 1: because they had they have a hit like right wing

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Speaker 1: show with Last Man Standing or at least Tim Allen did.

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Speaker 1: I don't know where that shit shit airs. They're like, okay,

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Speaker 1: things we know work. Japanese shit last blank Standing as

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Speaker 1: a title format fucking squid game, So we mash those up,

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Speaker 1: put squid game in feudal Japan, give it the title

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Speaker 1: format of Last Man Standing or Last Comic Standing, and

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Speaker 1: also steal that Tom Cruise movie Last Samurai exactly, Last.

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Speaker 2: Samurai Standing starring dat Fan season one winner of Last

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Speaker 2: Comic Standing. This is and he's Asian, guys, This fucking

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Speaker 2: I mean, I'm so glad I went to Burning Man

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Speaker 2: this year, although I got in no weird argument with

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Speaker 2: this Russian guy wouldn't leave me alone. And then I'm

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Speaker 2: talking about it for a little bit and I woke

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Speaker 2: up with bloody So yeah, uh this is this is perfect.

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Speaker 1: But again, it's just like funny to just see how

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Speaker 1: predictable this whole the thought process is from these people.

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Speaker 3: Yeah, all right, I got two overrated.

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Speaker 1: One is just a phrase that I heard this weekend

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Speaker 1: that I'm like, oh, this is gonna be everywhere and

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Speaker 1: I hate it.

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Speaker 3: From the comfort of your own phone? What I just

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Speaker 3: heard that phrase?

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Speaker 1: So they've taken from the comfort of your own home

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Speaker 1: with where really our home is? I think it was

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Speaker 1: on a podcast ad. It just like stuck in my brain.

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Speaker 1: I was just like, oh, no, that is that's our

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Speaker 1: new ad. That's right, that's our ad copy. I mean, yeah,

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Speaker 1: I will probably have to say this at some point.

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Speaker 1: It makes perfect sense, like from a perspective where it's

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Speaker 1: just like, yes, yes, slide into this slip stream of

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Speaker 1: media consumption and like capitalism and retail therapy.

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Speaker 3: H this is your new home.

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Speaker 1: I mean, but it just like represents a world that

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Speaker 1: I'm just like, fuck. I feel like so many of

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Speaker 1: us are aware that the phone is the cause of

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Speaker 1: and solution to all of life's problems. Yeah, we're like,

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Speaker 1: it's just an addiction.

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Speaker 2: But I guess I don't like the idea that they're like, yeah,

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Speaker 2: go to your phone where it's like home, you're actively

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Speaker 2: like looking at this shit, like being like, dude, get away.

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Speaker 1: From fuck you. Yeah, I've rid of your own phone.

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Speaker 1: And then my other is golf courses. Just there's uh, you.

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Speaker 3: Know, we're we're seeing a lot, We're getting a lot

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Speaker 3: of these.

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Speaker 1: Medical studies you know that are like in various stages

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Speaker 1: and various sizes from RFK, you know, being like you know,

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Speaker 1: cherry picking individual studies and being like, we got we

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Speaker 1: got to look into this, and therefore no more vaccines

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Speaker 1: for children. There's a study that came out earlier this

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Speaker 1: year from the Journal of the American Medical Association, pretty reputable,

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Speaker 1: that's like one of the big ones. So the JAMA

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Speaker 1: Network has a study that finds that people who live

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Speaker 1: near golf courses are like one hundred and twenty percent

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Speaker 1: more likely to get Parkinson's and specifically it's related to

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Speaker 1: the drinking, like if you share your water source with

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Speaker 1: the golf course. And so the idea is basically that

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Speaker 1: if you ever fly over Los Angeles, you'll you'll see

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Speaker 1: these little islands of like perfect green lawns that are

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Speaker 1: all golf courses and everything. Nothing else looks like that,

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Speaker 1: and it's because they are just fucking dousing that shit

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Speaker 1: with chemicals to oh to keep it, like popping green,

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Speaker 1: basically popping green and like keep the you know, a

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Speaker 1: bunch of pesticides. And this is the working theory. Anyways.

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Speaker 1: It just feels like one of those things that would

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Speaker 1: be a much bigger deal if the entire like US

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Speaker 1: power structure and like Old Boys Network would like didn't

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Speaker 1: just fucking golf every day, like hang out on golf

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Speaker 1: courses and got Parkinson's. There's a denial about it. Yeah, yeah,

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Speaker 1: just don't fucking don't blame the golf course. Yeah, just

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Speaker 1: fucking wild.

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Speaker 2: I mean before I remember, like when we were talking

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Speaker 2: about how basically their government protected facilities essentially that don't

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Speaker 2: pay taxes and there should be green spaces for everyone

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Speaker 2: to enjoy.

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Speaker 1: But yeah, they're little like roaming fields for the wealthy.

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Speaker 1: It's paid for frequently, especially in Los Angeles. It's paid

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Speaker 1: for with taxpayer dollars, and then you have to pay

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Speaker 1: like three hundred and fifty thousand dollars in Los Angeles

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Speaker 1: to belong to one of these things to even get inside,

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Speaker 1: and like you have to be accepted in some you know,

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Speaker 1: weird social ritual that who the fuck knows like what

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Speaker 1: they're making those decisions. No, you put a golf tea

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Speaker 1: in your dick hole and then the guy has to

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Speaker 1: drive a ball off of it, I'm sure, but yeah, so,

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Speaker 1: like there's so many things wrong with that, like the

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Speaker 1: these are green spaces right in the middle of especially

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Speaker 1: in Los Angeles that like could be used for public

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Speaker 1: works and you know, public parks, and a bunch of

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Speaker 1: the best public parks in Los Angeles are just like

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Speaker 1: cordoned off and only available to a handful of rich people. Yeah.

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Speaker 2: I mean it is interesting though, because when you think

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Speaker 2: about the neighborhoods around golf courses, those are that's not

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Speaker 2: those are usually wealthy areas. Like so wouldn't tho I mean,

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Speaker 2: so I'd imagine a lot of the victims are most

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Speaker 2: in that instance, would be people who are like these

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Speaker 2: landed land owning freaks who damn yeah, I remember.

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Speaker 1: Solution is just like getting water delivered to them or whatever,

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Speaker 1: and they already knew. They're like, oh, we've known honey

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Speaker 1: for oh yeah, God, sorry for you. You don't have your

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Speaker 1: own cistern. Oh honey, welcome to hell. But yeah, anyways,

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Speaker 1: I continue to think this is for whatever the political

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Speaker 1: party that forms in the future. That is, like, you know,

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Speaker 1: the answer to fascism. I feel like invading golf courses

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Speaker 1: would be would continue to be a great uh oh

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Speaker 1: yeah yeah, yeaheah.

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Speaker 2: That's where you do like your Baine style, like you know,

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Speaker 2: summary executions like in a golf course.

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Speaker 1: Yeah, or just like I don't know, fun parties for

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Speaker 1: neighborhood type thing, computing visions of the future. Sorry jact.

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Speaker 2: We don't have our block parties withoutur summary executions of

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Speaker 2: the old barks.

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Speaker 1: That's true. What's something Miles you think is underrated?

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Speaker 2: Under did just the fucking number of ways to cook bacon? Okay,

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Speaker 2: I thought I knew them all, which was in a

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Speaker 2: pan or roast them off in an oven, like if

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Speaker 2: they want to do it on that huge amount, do

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Speaker 2: that and then you got them all you put them

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Speaker 2: all on too.

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Speaker 1: Yeah, air fryers like sure, put in certain device. I've

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Speaker 1: even heard people who ride for microwave bacon, which I

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Speaker 1: have not tried. Yeah, I'm not. I mean, if you

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Speaker 1: like it's super crispy.

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Speaker 2: So I saw on God's cursed Internet the boiling method, and.

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Speaker 3: It's basically what that would look like.

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Speaker 2: You put bacon in a cold pan or like even

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Speaker 2: like in a pot, so you have like raised walls

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Speaker 2: so you don't get the splash everywhere, sure, and you

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Speaker 2: put water in enough to just cover it, and then

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Speaker 2: you bring it to a boil on high. Yeah, and

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Speaker 2: then once it boils, you crank it down to medium

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Speaker 2: and then the water like helps render the fat better

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Speaker 2: without drying it, and you kind of get this like tender, tendery,

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Speaker 2: neaty bacon.

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Speaker 1: Interesting. I don't I can't even like doesn't swell up

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Speaker 1: a little bit, like it's a little bigger than you no,

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Speaker 1: like the water. In your mind, you're like fucking putting

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Speaker 1: it in water.

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Speaker 2: But it has no like you would never if I

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Speaker 2: told you like I did the boiling method.

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Speaker 1: It's not like you're actually boiling it. It just seems

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Speaker 1: like normal bacon. You're picturing a dead body that's been

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Speaker 1: floating in it's a lake for two weeks. You know.

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Speaker 1: Sometimes you get like a good blt and like it's

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Speaker 1: not all crackery crispy. It's like got a it's got

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Speaker 1: just enough that it breaks. It's delicate, it's not all.

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Speaker 2: Rubbery, you know what I mean, It's just that right

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Speaker 2: middle part. So damn, I was working around a few

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Speaker 2: different I'm still dialing it in. You can, anyone just

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Speaker 2: searches boiling bacon bacon method, you can.

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Speaker 1: It's yeah. It's like I I got real excited about

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Speaker 1: a pizza reheating method like years ago. Oh yeah, like

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Speaker 1: reheating waterpan with a little bit of water and like

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Speaker 1: it's good. But then like I was like, it's also

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Speaker 1: a bit of a pain in the ass, and uh

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Speaker 1: like just pizza. I think what I'm really getting excited

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Speaker 1: about is how good pizza is. Yeah, yeah, yeah, how

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Speaker 1: easy it is to reheat pizza and make it fucking awesome.

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Speaker 1: It's like it's like me with weed. It's like I

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Speaker 1: could smoke it, i could put it in up all

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Speaker 1: you can eat it. Like it's like I don't know,

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Speaker 1: maybe I just like it a lot. I don't know.

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Speaker 2: Bacon is it's it's delicious. I don't know, it doesn't matter.

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Speaker 2: I just want to be eating. And now that the

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Speaker 2: guy's child is now like he likes bait, he's fucking

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Speaker 2: with bacon now. So now I'm like really kind of

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Speaker 2: like trying new shit out because we get to kind

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Speaker 2: of like you know, experiment in.

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Speaker 1: The kitchen and stuff.

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Speaker 3: Although it's a fun age, Miles, it's a fun age.

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Speaker 1: It is till like I'm like, oh, this is he's

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Speaker 1: so cute. I'll be like, okay, so you want to

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Speaker 1: help me make bake? He goes, of course, of course,

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Speaker 1: of course, and then we go in the fucking kitchen.

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Speaker 1: This man can't pay attention. He's like, Okay, you got

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Speaker 1: this motherfucker right. So many moments like that where I'm like,

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Speaker 1: you know, we I'm planning things. I'm like, we're about

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Speaker 1: to have like a moment, and then they're just like

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Speaker 1: what you thought? You thought? Man? I think I've told

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Speaker 1: the story before about taking them to see Indiana Jones,

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Speaker 1: like the age that I saw Indiana Jones. But it

376
00:20:22,160 --> 00:20:25,440
Speaker 1: was at the like there's a cemetery around here, Hollywood

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00:20:25,440 --> 00:20:30,800
Speaker 1: Forever cemetery that like shows the movies. Yeah, we went,

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Speaker 1: topia started noticing I was in trouble when I like

379
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Speaker 1: looked around there were no other kids there, and like

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Speaker 1: the movie didn't start till pretty late, and right away

381
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Speaker 1: there was like it was just obvious that it was

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Speaker 1: way too much for them. I remember this. Yeah, I

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Speaker 1: had to carry them out like under my arms, like

384
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Speaker 1: stepping through all these people on part who were not

385
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Speaker 1: cool with it. They were not like it's fine, man,

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Speaker 1: you've got kids. They're like, what the fuck did you

387
00:21:00,080 --> 00:21:02,280
Speaker 1: bring kids here for? Dude? You stepped all over my

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00:21:02,400 --> 00:21:06,920
Speaker 1: CHARCOOTERI board you Yeah, it was definitely a sharkcutery board. Yeah,

389
00:21:06,960 --> 00:21:08,720
Speaker 1: you're kicking a shark coutery board if you try and

390
00:21:08,760 --> 00:21:11,680
Speaker 1: walk through that crowd. Yeah, so I gotta do vip man,

391
00:21:11,800 --> 00:21:15,960
Speaker 1: but yeah, you know, big plans. And then took them

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Speaker 1: fishing at a at a park and like he was

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Speaker 1: just like, I don't know, man, I'm kind of interested

394
00:21:20,640 --> 00:21:22,919
Speaker 1: in these sticks over here. Yeah. Like I liked the

395
00:21:23,000 --> 00:21:26,160
Speaker 1: idea better than in practice. And I realized and the

396
00:21:26,200 --> 00:21:30,879
Speaker 1: fun moments happened when you're planning other ship, you know. Yeah,

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Speaker 1: all right, so I'm gonna come out and say something

398
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Speaker 1: that's going to surprise a lot of people.

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Speaker 3: But I think AI is bad.

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Speaker 1: I think it's I was just noticing, yeah, go ahead,

401
00:21:47,520 --> 00:21:52,320
Speaker 1: a big rug pull as the term goes. No, I

402
00:21:52,359 --> 00:21:55,120
Speaker 1: was just noticing that, like so at the like US

403
00:21:55,200 --> 00:21:57,959
Speaker 1: Open Coverage was using I think it was like a

404
00:21:58,000 --> 00:22:04,280
Speaker 1: Microsoft AI to predict the matches, and you'd think maybe

405
00:22:04,320 --> 00:22:05,920
Speaker 1: it was IBM. It was like one of those ones

406
00:22:05,960 --> 00:22:08,359
Speaker 1: that's like, oh, you're trying, you're getting in on this too,

407
00:22:08,520 --> 00:22:11,280
Speaker 1: huh m hmm. But you know that they put a

408
00:22:11,440 --> 00:22:13,600
Speaker 1: ton of time and effort into this because it's like,

409
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Speaker 1: first of all, a thing that like, I think the

410
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Speaker 1: way the world thinks about AI, they would expect AI

411
00:22:19,960 --> 00:22:22,280
Speaker 1: to be good at this. You know, they're like, yeah,

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Speaker 1: I mean like you should be able to it should

413
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Speaker 1: be better than humans a like picking things. And it's

414
00:22:26,960 --> 00:22:29,080
Speaker 1: like on main you know, they're like showing it on

415
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Speaker 1: the broadcast, and they kept like picking things that were

416
00:22:33,680 --> 00:22:36,399
Speaker 1: like obviously wrong. They would like pick the player that

417
00:22:36,560 --> 00:22:39,600
Speaker 1: like obviously like didn't have momentum or like wasn't playing

418
00:22:39,640 --> 00:22:42,520
Speaker 1: that well, like almost every time that I saw it

419
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Speaker 1: come up, and like sometimes they would show it after

420
00:22:45,320 --> 00:22:47,600
Speaker 1: a set where like that person was getting their ass

421
00:22:47,720 --> 00:22:51,480
Speaker 1: kicked already and like they knew this. Yes, it's just

422
00:22:51,520 --> 00:22:59,600
Speaker 1: like like this is match pointing around. Yeah, just anecdotally,

423
00:23:00,119 --> 00:23:02,600
Speaker 1: like they suck shit. I'm just hoping people are like

424
00:23:02,720 --> 00:23:05,719
Speaker 1: seeing enough of these things to be like, oh yeah,

425
00:23:05,760 --> 00:23:08,919
Speaker 1: this is this thing does not is not able to

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Speaker 1: do what it purports to do.

427
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Speaker 2: There's I mean, and that's the thing you can't optimize

428
00:23:13,800 --> 00:23:18,320
Speaker 2: further watching sports, It's you're just there to stare at

429
00:23:18,359 --> 00:23:21,359
Speaker 2: the people compete. I don't need fucking I don't need

430
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Speaker 2: other data points like I've seen. There's like I saw

431
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Speaker 2: a similar thing with like using like stat metrics for

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Speaker 2: like a like a soccer match where there's like expected

433
00:23:31,440 --> 00:23:33,719
Speaker 2: goals and things like this, and like, based on what's happening,

434
00:23:33,760 --> 00:23:35,199
Speaker 2: this team has the best chance to win.

435
00:23:35,240 --> 00:23:37,840
Speaker 1: It's like, I don't give a shit. I'm watching. I'm

436
00:23:37,840 --> 00:23:40,520
Speaker 1: not I'm not yet. God, what's the computer gonna say

437
00:23:40,520 --> 00:23:43,679
Speaker 1: who's gonna win? You watch to fucking let it unfold.

438
00:23:43,760 --> 00:23:46,080
Speaker 1: It's meaningless who you think is gonna win.

439
00:23:46,119 --> 00:23:48,480
Speaker 2: And it's not impressive even if it like and and

440
00:23:48,520 --> 00:23:50,640
Speaker 2: the fact that it's wrong is actually even more upsetting.

441
00:23:50,840 --> 00:23:53,520
Speaker 2: They're like, all right, we kind of fucked that one

442
00:23:53,600 --> 00:23:57,040
Speaker 2: up on but yeah, just over, Like all three of

443
00:23:57,080 --> 00:24:00,760
Speaker 2: the AI engines all predicted Center, and like I think

444
00:24:00,760 --> 00:24:04,080
Speaker 2: a lot of people were predicting Alcare, like the tennis

445
00:24:04,119 --> 00:24:04,600
Speaker 2: expert on.

446
00:24:04,640 --> 00:24:08,240
Speaker 1: Air, like all predicted Alcarez. I thought Alcorez was gonna win,

447
00:24:08,560 --> 00:24:11,200
Speaker 1: but like Chad GPT and all that ship like all

448
00:24:11,240 --> 00:24:15,399
Speaker 1: picked center. Uh, it's just but like even like in

449
00:24:15,440 --> 00:24:17,960
Speaker 1: the earlier rounds, it just seemed to like pick whoever

450
00:24:18,080 --> 00:24:22,800
Speaker 1: had the lower seed basically, which I don't know, like

451
00:24:22,840 --> 00:24:24,840
Speaker 1: they could have. It would be so easy for them

452
00:24:24,920 --> 00:24:28,679
Speaker 1: to just like mechanical turkit and just like ask the experts.

453
00:24:28,720 --> 00:24:31,040
Speaker 3: But they they that's the scary thing.

454
00:24:31,080 --> 00:24:35,840
Speaker 1: They believe in the technology too, and the technology anecdotally sucks. Shit.

455
00:24:36,640 --> 00:24:39,560
Speaker 1: Wait where the where the picks? Where the picks laid

456
00:24:39,600 --> 00:24:42,800
Speaker 1: out before them the match started? They would yeah, they

457
00:24:42,840 --> 00:24:47,120
Speaker 1: would like it has to be like inside job gambling shit, right,

458
00:24:47,160 --> 00:24:49,000
Speaker 1: you know what I mean, Like like you would think

459
00:24:49,040 --> 00:24:53,320
Speaker 1: give it and then gambler loser and then no.

460
00:24:53,359 --> 00:24:55,520
Speaker 2: But I'm saying like for a gambling company, they're like

461
00:24:55,560 --> 00:24:57,400
Speaker 2: put that out and then I'm not I'm gonna fucking

462
00:24:57,400 --> 00:24:59,520
Speaker 2: take all these people's money because they trusted with the

463
00:24:59,560 --> 00:25:00,800
Speaker 2: stupid computer set.

464
00:25:00,880 --> 00:25:03,800
Speaker 1: I just think, no, no, it wasn't from like draft Kings.

465
00:25:04,720 --> 00:25:07,440
Speaker 1: I'm saying a company that was like putting their name

466
00:25:07,560 --> 00:25:09,919
Speaker 1: on it, so like I don't think it could have

467
00:25:09,960 --> 00:25:13,080
Speaker 1: possibly been like them fucking it up on purpose like

468
00:25:13,119 --> 00:25:16,400
Speaker 1: it was. It was a big swing for the company

469
00:25:16,440 --> 00:25:20,000
Speaker 1: to be like and our ai predicts this to happen

470
00:25:20,119 --> 00:25:23,240
Speaker 1: and just be fucking wrong over and over and over again.

471
00:25:23,720 --> 00:25:27,720
Speaker 1: So I don't know that. And then billionaires that we

472
00:25:28,080 --> 00:25:31,720
Speaker 1: talked last week about the Balmer thing, the owner of

473
00:25:31,720 --> 00:25:35,360
Speaker 1: the Clippers usually really looking like forty eight million, now,

474
00:25:35,520 --> 00:25:40,000
Speaker 1: that was Santa Kawai. So he basically used this other

475
00:25:40,040 --> 00:25:44,240
Speaker 1: company that he had invested in allegedly based on this reporting,

476
00:25:44,280 --> 00:25:46,520
Speaker 1: it seems like he was using it to circumvent the

477
00:25:46,560 --> 00:25:49,160
Speaker 1: salary cap, which is like one of the cardinal sins

478
00:25:49,200 --> 00:25:53,159
Speaker 1: of like sports ownership, and it was revealed on this

479
00:25:53,200 --> 00:25:57,000
Speaker 1: podcast Pabulatory finds out and then you know where he did,

480
00:25:57,040 --> 00:25:59,320
Speaker 1: like original reporting, and then the follow up episode to

481
00:25:59,359 --> 00:26:02,280
Speaker 1: that was just Mark Cuban had reacted to it been

482
00:26:02,400 --> 00:26:05,399
Speaker 1: like no way, man, no way, this is not true.

483
00:26:05,440 --> 00:26:09,040
Speaker 1: Balmber's is way too smart, And the whole episode was

484
00:26:09,080 --> 00:26:12,240
Speaker 1: just Cuban finding out the evidence that he had first

485
00:26:12,240 --> 00:26:14,399
Speaker 1: of all, so I guess he hadn't like actually fully

486
00:26:14,520 --> 00:26:17,399
Speaker 1: absorbed to the episode that he was claiming wasn't true.

487
00:26:17,640 --> 00:26:21,720
Speaker 1: And then also just repeatedly his only piece of evidence

488
00:26:21,840 --> 00:26:23,760
Speaker 1: was like, Balmer is the rigial guy in the world.

489
00:26:23,760 --> 00:26:25,159
Speaker 3: He's way too smart to do that.

490
00:26:25,480 --> 00:26:29,399
Speaker 1: Yeah, exactly, but also he's too stupid to actually know

491
00:26:29,440 --> 00:26:32,040
Speaker 1: about the inner workings of his own company that he

492
00:26:32,080 --> 00:26:32,840
Speaker 1: was investing in.

493
00:26:33,280 --> 00:26:34,480
Speaker 3: It's like a nice combination.

494
00:26:34,800 --> 00:26:36,639
Speaker 1: It was. It was a really good microcosmo of like

495
00:26:37,000 --> 00:26:40,080
Speaker 1: the like way that billionaires are given the you know,

496
00:26:40,520 --> 00:26:43,840
Speaker 1: assumption of brilliance, but then they're allowed to just be

497
00:26:43,960 --> 00:26:46,560
Speaker 1: like above it all and not involved in the actual

498
00:26:46,640 --> 00:26:49,480
Speaker 1: fucking like scandals that are caused by their companies. Well,

499
00:26:49,520 --> 00:26:51,600
Speaker 1: he was trying to have it both ways, like, because

500
00:26:51,600 --> 00:26:53,840
Speaker 1: I remember I saw that. I saw that follow up too.

501
00:26:53,920 --> 00:26:56,159
Speaker 1: I watched most of it. I couldn't believe how much

502
00:26:56,240 --> 00:26:59,159
Speaker 1: I was just listening to Mark Cuban fucking blather on.

503
00:26:59,680 --> 00:27:03,080
Speaker 2: But when he was like, Pablo, look, if I'm wrong

504
00:27:03,160 --> 00:27:07,200
Speaker 2: and you're right about this, then Steve Balmer's really dumb. Yeah,

505
00:27:07,240 --> 00:27:10,760
Speaker 2: And you're like yeah, or greedy or single minded, and yeah,

506
00:27:10,800 --> 00:27:13,000
Speaker 2: clouds's judgment or he lives in a world the free

507
00:27:13,040 --> 00:27:16,680
Speaker 2: of consequence, so he operates exactly. Maybe it's a thing

508
00:27:16,240 --> 00:27:18,359
Speaker 2: you fucking weirdo, Like what are you really agree? Like

509
00:27:18,640 --> 00:27:22,200
Speaker 2: the thing that animates billionaires I think we're we find

510
00:27:22,200 --> 00:27:26,720
Speaker 2: out repeatedly is not that they're particularly brilliant. They are

511
00:27:27,160 --> 00:27:29,720
Speaker 2: good at exploiting loopholes, which it seems like he was

512
00:27:29,720 --> 00:27:33,399
Speaker 2: trying to do here. They're single minded and like hyper

513
00:27:33,480 --> 00:27:37,240
Speaker 2: hyper competitive and have just like unending amounts of energy,

514
00:27:37,640 --> 00:27:42,399
Speaker 2: and then they are able to exploit like people looking

515
00:27:42,400 --> 00:27:45,280
Speaker 2: the other way, and like, you know, just they have it.

516
00:27:45,480 --> 00:27:49,439
Speaker 2: They're treated like fucking celebrities and like those three things

517
00:27:49,480 --> 00:27:53,160
Speaker 2: make this make perfect sense. But Cuban was just like, no,

518
00:27:53,520 --> 00:27:55,840
Speaker 2: I'm he was like too bought in on the great

519
00:27:55,960 --> 00:27:58,600
Speaker 2: Man theory of and then he was always like, idrew

520
00:27:58,680 --> 00:28:00,880
Speaker 2: deals all the time, Pablo, Where I'm investing companies?

521
00:28:00,920 --> 00:28:02,600
Speaker 1: Do I know every single thing? That's where I have

522
00:28:02,720 --> 00:28:04,680
Speaker 1: like I have my due diligence teams do that. And

523
00:28:04,760 --> 00:28:07,480
Speaker 1: Pablo was like, you've put fifty million dollars into a

524
00:28:07,560 --> 00:28:10,560
Speaker 1: company and you knew nothing about it. He was, oh,

525
00:28:10,720 --> 00:28:13,080
Speaker 1: Steve's a laborrich for the Yeah, but do you remember

526
00:28:13,119 --> 00:28:14,919
Speaker 1: how he really took a second because he was like,

527
00:28:14,960 --> 00:28:16,119
Speaker 1: how am I going to explain this?

528
00:28:16,160 --> 00:28:18,639
Speaker 2: Like Mark Cuban was acting like he was accessing his memories,

529
00:28:18,680 --> 00:28:22,240
Speaker 2: like well, maybe maybe like on that maybe it's like relative.

530
00:28:22,240 --> 00:28:23,840
Speaker 2: It's like relative though it's really right.

531
00:28:24,000 --> 00:28:27,400
Speaker 1: Yeah, all right, all right, but anyways, interesting to see

532
00:28:27,400 --> 00:28:30,520
Speaker 1: where that story goes. Yeah, being a billionaire is about

533
00:28:30,560 --> 00:28:35,640
Speaker 1: fucking cheating people. Yes, best at cheating. You only get

534
00:28:35,680 --> 00:28:39,080
Speaker 1: there by fucking cheating. So that to be like the

535
00:28:39,560 --> 00:28:42,160
Speaker 1: fucking the famous cheater. He's not cheating.

536
00:28:42,640 --> 00:28:44,680
Speaker 3: No way would he cheat. He's too smart for that.

537
00:28:44,760 --> 00:28:47,760
Speaker 1: Fuck out of here. Yeah yeah, all right, Uh, let's

538
00:28:47,760 --> 00:28:49,880
Speaker 1: take a quick break, we'll come back. We'll talk some news,

539
00:29:00,040 --> 00:29:05,719
Speaker 1: and we're back back. And I saw this little media

540
00:29:05,760 --> 00:29:08,840
Speaker 1: event where Mark Zunnerberg and a bunch of Silicon Valley

541
00:29:08,840 --> 00:29:12,400
Speaker 1: people were sitting next to the president. Was like a

542
00:29:12,480 --> 00:29:15,880
Speaker 1: oligarch fest. Yeah, it was oligarch glaze fest.

543
00:29:16,240 --> 00:29:19,520
Speaker 3: Yeah, what what was the purported purpose of it?

544
00:29:19,520 --> 00:29:22,400
Speaker 1: It was just a gathering of the tech people. Really,

545
00:29:22,480 --> 00:29:26,360
Speaker 1: the subtext is all of these people want the breaks

546
00:29:26,440 --> 00:29:29,240
Speaker 1: completely cut off any regulation as it relates to AI.

547
00:29:29,520 --> 00:29:32,000
Speaker 1: That's really that's why all of these people are there

548
00:29:32,040 --> 00:29:35,240
Speaker 1: to be like please, because this is the next thing

549
00:29:35,360 --> 00:29:37,760
Speaker 1: that's not going to fucking work and we're all just

550
00:29:37,800 --> 00:29:39,040
Speaker 1: gonna end up fucking suffering.

551
00:29:39,160 --> 00:29:40,920
Speaker 2: But yeah, like it was just it was just a

552
00:29:41,000 --> 00:29:44,640
Speaker 2: moment for all these people to also say numbers out

553
00:29:44,680 --> 00:29:47,920
Speaker 2: loud of money they're investing in the companies. Or Trump

554
00:29:47,920 --> 00:29:49,840
Speaker 2: can be like he could go like, and how much

555
00:29:49,880 --> 00:29:50,840
Speaker 2: money are you investing?

556
00:29:50,960 --> 00:29:51,680
Speaker 1: And how much money?

557
00:29:51,680 --> 00:29:53,920
Speaker 2: So he could also be like, look how much investment

558
00:29:53,920 --> 00:29:55,040
Speaker 2: I'm bringing to America.

559
00:29:55,080 --> 00:29:56,520
Speaker 3: It's like just so abstract.

560
00:29:56,640 --> 00:29:59,000
Speaker 1: But for Trump, who just thinks, like by getting a

561
00:29:59,040 --> 00:30:02,120
Speaker 1: bunch of oligarchs to say billions of dollars are being spent,

562
00:30:02,280 --> 00:30:06,280
Speaker 1: that means somehow it's going it's just ai development, or

563
00:30:06,480 --> 00:30:10,920
Speaker 1: do just like, what are you investing in America? We're

564
00:30:11,000 --> 00:30:14,760
Speaker 1: just like truly company in America, So like how much

565
00:30:14,840 --> 00:30:15,960
Speaker 1: money are we spending?

566
00:30:16,840 --> 00:30:18,760
Speaker 3: It's kind of a weird vegue question.

567
00:30:19,240 --> 00:30:22,239
Speaker 1: It was truly just for people to say numbers, so

568
00:30:22,400 --> 00:30:24,320
Speaker 1: at least there could be I think in his mind

569
00:30:24,320 --> 00:30:26,720
Speaker 1: he's like there's a headline, look how many million billions

570
00:30:26,720 --> 00:30:29,480
Speaker 1: are being spent and they say the economy is fucked? No, yeah, yeah,

571
00:30:29,800 --> 00:30:33,000
Speaker 1: Like the CEOs love to be like I created this job.

572
00:30:33,160 --> 00:30:35,440
Speaker 1: There's a lot of families out there that that are

573
00:30:35,480 --> 00:30:38,440
Speaker 1: my children because that person worked for me and they

574
00:30:38,480 --> 00:30:42,080
Speaker 1: wouldn't have had a job otherwise. It's like, no, that's

575
00:30:42,120 --> 00:30:44,840
Speaker 1: not true. That's what You're just happened to be in

576
00:30:44,880 --> 00:30:47,760
Speaker 1: the position that could be easily filled by somebody else exactly.

577
00:30:48,840 --> 00:30:52,360
Speaker 2: And everyone was there from Silicon Valley, like fucking Bill Gates,

578
00:30:52,400 --> 00:30:55,479
Speaker 2: Sam Walton, pretty much everyone except for k Hole nazi

579
00:30:55,520 --> 00:30:59,240
Speaker 2: Elon Musk, who's still persona non grata at the moment.

580
00:31:00,360 --> 00:31:03,520
Speaker 2: But the moment that got the most attention, for better

581
00:31:03,600 --> 00:31:07,320
Speaker 2: or worse was like when actual metaverse robot Mark Zuckerberg

582
00:31:07,680 --> 00:31:10,640
Speaker 2: was asked by Trump how much money you be investing

583
00:31:10,680 --> 00:31:13,240
Speaker 2: in the country or whatever, just open ended question.

584
00:31:14,280 --> 00:31:18,040
Speaker 1: Zuckerberg's he's here, I'll play it. But he gets caught

585
00:31:18,080 --> 00:31:19,240
Speaker 1: on the other side of this.

586
00:31:19,240 --> 00:31:24,400
Speaker 2: Quote apologizing to Donald Trump about not knowing what number

587
00:31:24,520 --> 00:31:25,160
Speaker 2: he should have said.

588
00:31:25,200 --> 00:31:28,800
Speaker 1: But anyway, fuck he was talking about Yeah, yeah, yeah,

589
00:31:29,600 --> 00:31:31,840
Speaker 1: how much are you spending would you say over the

590
00:31:31,880 --> 00:31:32,680
Speaker 1: next few years?

591
00:31:33,080 --> 00:31:35,880
Speaker 4: Oh gosh, I mean I think it's probably gonna be

592
00:31:35,920 --> 00:31:40,320
Speaker 4: something like, I don't know, at least six hundred billion

593
00:31:40,360 --> 00:31:44,040
Speaker 4: dollars through twenty eight in the US.

594
00:31:44,600 --> 00:31:48,239
Speaker 1: Yeah. This sounds like like a Tim Robbinson bit that

595
00:31:48,400 --> 00:31:53,000
Speaker 1: is brutal. That just brings me back to every day,

596
00:31:53,440 --> 00:31:55,520
Speaker 1: like every moment where you're just like, fuck, what what

597
00:31:55,920 --> 00:31:56,360
Speaker 1: what was the.

598
00:31:56,360 --> 00:32:03,880
Speaker 5: Question saying exactly not oh gosh me, oh gosh, gosh,

599
00:32:04,040 --> 00:32:07,160
Speaker 5: I would have to say his robot say huge number,

600
00:32:07,280 --> 00:32:08,560
Speaker 5: say huge number.

601
00:32:08,320 --> 00:32:14,000
Speaker 2: Say six hundred billion bill. It was like that scene

602
00:32:14,000 --> 00:32:17,040
Speaker 2: in Arrested Development when Carl Weathers is talking, like the

603
00:32:17,080 --> 00:32:19,240
Speaker 2: fight breaks out at the restaurant and the news is

604
00:32:19,280 --> 00:32:21,880
Speaker 2: talking to him and he's like, I'm looking at fifty

605
00:32:21,920 --> 00:32:24,280
Speaker 2: thousand dollars in medical bills and he holds.

606
00:32:24,120 --> 00:32:27,360
Speaker 1: Up a foil wrap swan. That's my favorite arrest of anyway.

607
00:32:27,480 --> 00:32:28,240
Speaker 1: Good place Again.

608
00:32:28,360 --> 00:32:31,160
Speaker 2: He's coming up with a number and you'll you'll understand

609
00:32:31,240 --> 00:32:33,880
Speaker 2: what he means when he follows this up because he

610
00:32:33,880 --> 00:32:36,000
Speaker 2: didn't realize the MIC's were on. He thought the focus

611
00:32:36,040 --> 00:32:37,440
Speaker 2: was elsewhere. But we get to hear.

612
00:32:37,320 --> 00:32:44,360
Speaker 4: It six hundred billion dollars through twenty eight in the US. Yeah, no,

613
00:32:44,480 --> 00:32:45,720
Speaker 4: it's not it's significant.

614
00:32:46,520 --> 00:32:47,160
Speaker 3: That's a lot.

615
00:32:47,400 --> 00:32:54,840
Speaker 1: Thank you, Mark, it's great to have you. Sorry it wasn't.

616
00:32:56,360 --> 00:33:00,560
Speaker 3: I wasn't sure what numbers number you because it's all

617
00:33:00,600 --> 00:33:01,080
Speaker 3: bullsh like.

618
00:33:01,120 --> 00:33:03,920
Speaker 1: That's what's so wild to me. Yeah, yeah, because it's

619
00:33:03,920 --> 00:33:06,560
Speaker 1: a type because I didn't know what you were talking about.

620
00:33:06,600 --> 00:33:09,320
Speaker 1: Because saying how much money am I gonna spend? Doesn't

621
00:33:09,480 --> 00:33:10,400
Speaker 1: make any sense.

622
00:33:11,080 --> 00:33:13,240
Speaker 2: Sorry, I don't know if you know you're senile. So

623
00:33:13,720 --> 00:33:16,680
Speaker 2: the just the context of the question didn't even makes sense.

624
00:33:16,720 --> 00:33:18,760
Speaker 2: Given the conversations we had earlier.

625
00:33:19,480 --> 00:33:21,800
Speaker 1: You didn't know what you wouldn't mean to say it,

626
00:33:21,920 --> 00:33:25,320
Speaker 1: just like me, I didn't even know you were going

627
00:33:25,360 --> 00:33:28,880
Speaker 1: to that. You should have told me. It would have

628
00:33:28,880 --> 00:33:30,640
Speaker 1: said a different number, Which one do you want me

629
00:33:30,680 --> 00:33:35,000
Speaker 1: to go with? Deal Leader? So it was just wild,

630
00:33:35,040 --> 00:33:37,520
Speaker 1: Like how like you know, right after jail Leader is

631
00:33:37,560 --> 00:33:43,080
Speaker 1: fun deal Leader. Yeah, in deer Leader, sometimes you stumble

632
00:33:43,200 --> 00:33:45,600
Speaker 1: upon something in a typo and it ends up being

633
00:33:45,680 --> 00:33:51,320
Speaker 1: real good. But yeah, like just think about when Zuckerberg

634
00:33:51,400 --> 00:33:54,280
Speaker 1: kicked Trump off Facebook, like after the twenty twenty election,

635
00:33:54,480 --> 00:33:57,000
Speaker 1: and like Trump was threatening him with jail, you know

636
00:33:57,040 --> 00:33:57,400
Speaker 1: what I mean.

637
00:33:57,480 --> 00:33:59,600
Speaker 3: But like he's done his best to get on his

638
00:33:59,640 --> 00:34:00,000
Speaker 3: good side.

639
00:34:00,240 --> 00:34:02,400
Speaker 1: I mean, like he settled an old lawsuit with Trump

640
00:34:02,440 --> 00:34:05,200
Speaker 1: for fucking twenty five million, He donated a million dollars

641
00:34:05,200 --> 00:34:09,280
Speaker 1: to his inauguration. He fucking he skull fucked all content

642
00:34:09,400 --> 00:34:13,960
Speaker 1: moderation on Facebook, and it's just generally rolling over for Trump.

643
00:34:14,000 --> 00:34:17,040
Speaker 2: But yeah, it's strange how history always rhymes a bit

644
00:34:17,120 --> 00:34:19,440
Speaker 2: how the capitalists end up rolling out the red carpet

645
00:34:19,480 --> 00:34:20,160
Speaker 2: for fascists.

646
00:34:20,760 --> 00:34:23,279
Speaker 1: Yeah yeah, I mean yeah, they wanted they wanted to

647
00:34:23,400 --> 00:34:25,560
Speaker 1: join the fascist movement. In the twenties, as we've talked

648
00:34:25,560 --> 00:34:28,200
Speaker 1: about before, there was a bunch of business leaders who

649
00:34:28,200 --> 00:34:31,040
Speaker 1: tried to overthrow the US government when FDR was president.

650
00:34:31,800 --> 00:34:35,560
Speaker 1: They just like, you know, hired the wrong general, like

651
00:34:35,640 --> 00:34:38,279
Speaker 1: World War two general who or I guess world War

652
00:34:38,320 --> 00:34:40,879
Speaker 1: one because it was pre World War two, hmm.

653
00:34:41,000 --> 00:34:43,839
Speaker 3: And the guy was just like what, yeah, yeah, I'll

654
00:34:43,840 --> 00:34:44,760
Speaker 3: do all that, and then.

655
00:34:44,680 --> 00:34:47,800
Speaker 1: Like exposed the plot and those guys all went to jail,

656
00:34:47,840 --> 00:34:50,920
Speaker 1: and you know, oh sorry, No, they were business leaders,

657
00:34:50,920 --> 00:34:54,280
Speaker 1: so they were just like fine, They're just fine, they're

658
00:34:54,360 --> 00:34:58,319
Speaker 1: committing fucking treason. Anyways. I do like Trump's response to

659
00:34:58,360 --> 00:35:01,400
Speaker 1: it was like he turns to the person sitting on

660
00:35:01,400 --> 00:35:02,920
Speaker 1: his other side and he's like he said that he

661
00:35:03,000 --> 00:35:05,880
Speaker 1: didn't know what number he wanted me to say, because

662
00:35:05,920 --> 00:35:09,560
Speaker 1: like that is what is cool about it to him

663
00:35:10,239 --> 00:35:14,600
Speaker 1: is that it implies corruption. You know. It's like most

664
00:35:14,800 --> 00:35:18,800
Speaker 1: like other presidents prior to like you know, ten years ago,

665
00:35:19,120 --> 00:35:22,120
Speaker 1: a president hearing someone say sorry, I didn't know what

666
00:35:22,239 --> 00:35:25,000
Speaker 1: number you wanted me to say? Would immediately know like, oh,

667
00:35:25,040 --> 00:35:28,359
Speaker 1: that's like bad. Yeah, that makes both of us look

668
00:35:28,440 --> 00:35:30,480
Speaker 1: like shit because it makes it look like we're just

669
00:35:30,520 --> 00:35:32,759
Speaker 1: like making this stuff up. But like for Trump, that's

670
00:35:32,840 --> 00:35:35,560
Speaker 1: kind of the point is that we're like making making

671
00:35:35,560 --> 00:35:37,279
Speaker 1: this up and like I can just get these guys

672
00:35:37,360 --> 00:35:39,200
Speaker 1: to say whatever the fuck I want, you know.

673
00:35:39,200 --> 00:35:42,399
Speaker 2: And shows how how much control he has over this too.

674
00:35:42,480 --> 00:35:45,719
Speaker 2: It's like, yeah, you're dictating what the spec whatever? I mean,

675
00:35:45,760 --> 00:35:48,359
Speaker 2: like this is this is, this is where we're at.

676
00:35:48,360 --> 00:35:51,480
Speaker 2: But cool man, Mark Zuckerberg.

677
00:35:51,640 --> 00:35:53,640
Speaker 1: It also looked like after he said that, like in

678
00:35:53,680 --> 00:35:56,120
Speaker 1: a room full of like other billionaires, like, I wonder

679
00:35:56,160 --> 00:35:57,640
Speaker 1: how many of them are like, what the fuck is

680
00:35:57,680 --> 00:36:00,440
Speaker 1: this guy talking about six hundred billion? Over there till

681
00:36:00,840 --> 00:36:01,759
Speaker 1: twenty twenty eight?

682
00:36:01,880 --> 00:36:04,239
Speaker 3: Really like you didn't like the number, I was going

683
00:36:04,320 --> 00:36:04,959
Speaker 3: to take it back.

684
00:36:05,600 --> 00:36:08,600
Speaker 1: I really looked around the room after he said six

685
00:36:08,719 --> 00:36:10,879
Speaker 1: hundred billion, because people were like, well, what did you say?

686
00:36:11,120 --> 00:36:13,839
Speaker 1: I wonder if anyone gave him a sarcastic thumbs up

687
00:36:14,120 --> 00:36:16,759
Speaker 1: from across the room, they probably did the blow job thing.

688
00:36:16,760 --> 00:36:22,799
Speaker 1: They were like sucker, like yeah, all right, full yeah,

689
00:36:22,880 --> 00:36:26,040
Speaker 1: good job man. If billionaires were cool.

690
00:36:26,560 --> 00:36:31,400
Speaker 2: Yeah, yeah, you probably sent an animated emoji or something over.

691
00:36:31,239 --> 00:36:33,920
Speaker 1: Their old link. They just sent him the animated fist

692
00:36:33,960 --> 00:36:36,960
Speaker 1: bump that old people love to send it.

693
00:36:37,600 --> 00:36:40,000
Speaker 3: All right, well, speaking of this is where we are.

694
00:36:40,440 --> 00:36:43,640
Speaker 1: The Trump administration announced that they blew up a drug

695
00:36:43,719 --> 00:36:46,840
Speaker 1: carrying boat off the coast of Venezuela, killed eleven people,

696
00:36:47,160 --> 00:36:53,600
Speaker 1: which everybody immediately pointed out is illegal and a war crime,

697
00:36:54,040 --> 00:36:58,040
Speaker 1: like you can't blow up a boat. That we'll get

698
00:36:58,040 --> 00:37:01,920
Speaker 1: into the specifics, but yeah, Marco Rubio probably told reporters

699
00:37:01,960 --> 00:37:04,840
Speaker 1: that we blew it up adding and it'll happen again.

700
00:37:05,080 --> 00:37:08,280
Speaker 1: Maybe it's happening right now. Every time a bell rings,

701
00:37:08,320 --> 00:37:11,759
Speaker 1: the US military blows up a book full of Venezuelan civilians.

702
00:37:12,160 --> 00:37:14,440
Speaker 1: He did say that, or do you not say that?

703
00:37:14,440 --> 00:37:19,600
Speaker 1: That last part was editorial subtext. Yeah, yeah, it felt

704
00:37:19,600 --> 00:37:21,480
Speaker 1: like it the way he're saying it. Maybe it's happening

705
00:37:21,600 --> 00:37:22,880
Speaker 1: right now. He did say.

706
00:37:23,480 --> 00:37:26,839
Speaker 2: It sounds like a fucking like abusive partners, like, man,

707
00:37:26,840 --> 00:37:28,279
Speaker 2: maybe I'm cheating on you right now.

708
00:37:28,520 --> 00:37:30,640
Speaker 1: Yeah, who knows what you want? What are you gonna

709
00:37:30,640 --> 00:37:34,279
Speaker 1: do it? Do it right now to this room, on

710
00:37:34,320 --> 00:37:39,560
Speaker 1: this room. But yeah, it's intentionally targeting non military civilians

711
00:37:40,920 --> 00:37:44,719
Speaker 1: and killing them without due process as a war crime. JD.

712
00:37:44,880 --> 00:37:47,640
Speaker 1: Vance defended the move, said blowing up drug smugglers was

713
00:37:47,680 --> 00:37:51,839
Speaker 1: the best use of the military, So, uh, fuck you

714
00:37:51,880 --> 00:37:53,280
Speaker 1: to World War two veterans.

715
00:37:53,320 --> 00:37:56,640
Speaker 3: I guess wow, yeah that's oh man.

716
00:37:56,800 --> 00:38:00,320
Speaker 2: Yeah, I think one of the Krasensteins, like on Twitter,

717
00:38:00,480 --> 00:38:02,800
Speaker 2: was like, this is a war crime.

718
00:38:03,320 --> 00:38:05,879
Speaker 1: Yeah, And then he replied to that one he said, quote,

719
00:38:05,880 --> 00:38:07,560
Speaker 1: I don't give a shit what you call it.

720
00:38:07,840 --> 00:38:10,680
Speaker 2: Oh boy, I mean, this is what happens when you

721
00:38:10,760 --> 00:38:13,160
Speaker 2: let countries get away with war crimes all the time.

722
00:38:13,239 --> 00:38:16,880
Speaker 2: Nothing's a war crime anymore. Yeah, they're like, oh, sure,

723
00:38:17,160 --> 00:38:20,160
Speaker 2: killing civilians is a war crime.

724
00:38:20,239 --> 00:38:23,919
Speaker 1: Have you seen what we're fucking sponsoring in the Middle

725
00:38:23,960 --> 00:38:27,040
Speaker 1: East right now? Yeah? Tell me more about that. Yeah.

726
00:38:27,040 --> 00:38:30,440
Speaker 2: It's really wild to see, especially for something like this

727
00:38:30,480 --> 00:38:32,919
Speaker 2: where they're trying to use a flimsiest logic where they're

728
00:38:32,960 --> 00:38:35,759
Speaker 2: like a drug the mere presence of a boat that

729
00:38:35,840 --> 00:38:39,400
Speaker 2: they say has drugs on it is somehow in a

730
00:38:39,480 --> 00:38:43,560
Speaker 2: full frontal attack that requires a militaristic response.

731
00:38:44,040 --> 00:38:49,480
Speaker 1: Yeah. Yeah. Rand Paul used to kill a mockingbird as

732
00:38:49,480 --> 00:38:52,960
Speaker 1: an example for why the military shouldn't randomly murder people. Yes,

733
00:38:53,040 --> 00:38:57,640
Speaker 1: I might use the seventy percent of the people they

734
00:38:57,840 --> 00:39:02,160
Speaker 1: arrest like right now, like, yeah, you know, kidnap with

735
00:39:02,280 --> 00:39:04,960
Speaker 1: their newfound ice powers, like have no criminal record at

736
00:39:05,000 --> 00:39:09,040
Speaker 1: all and are innocent of anything besides being brown. And

737
00:39:09,080 --> 00:39:11,520
Speaker 1: now the Supreme Court has just upheld their ability to

738
00:39:11,560 --> 00:39:15,680
Speaker 1: do that. But yeah, seventy seventy percent wrong when it

739
00:39:15,719 --> 00:39:19,439
Speaker 1: comes to detaining people. I mean, it's not even this

740
00:39:19,480 --> 00:39:21,719
Speaker 1: is who we're trusting to write, but this is who

741
00:39:21,719 --> 00:39:24,080
Speaker 1: we're trusting to like just be like I am the

742
00:39:24,200 --> 00:39:26,120
Speaker 1: law and fucking kill people.

743
00:39:26,360 --> 00:39:28,200
Speaker 2: Yeah, it's like, no, there is. And to stop even

744
00:39:28,200 --> 00:39:32,680
Speaker 2: pretending you're an out of control war criminal. I mean,

745
00:39:32,719 --> 00:39:35,759
Speaker 2: I mean that's that's the US government for you. But

746
00:39:35,840 --> 00:39:37,840
Speaker 2: in this like total mask off sense, and you have

747
00:39:38,000 --> 00:39:41,239
Speaker 2: Rand Paul trying to act like a fucking junior high

748
00:39:41,280 --> 00:39:44,040
Speaker 2: literature teacher to be like, guys, do you remember in

749
00:39:44,120 --> 00:39:46,160
Speaker 2: Harper Lee's To Kill a Mockingbird?

750
00:39:46,680 --> 00:39:49,480
Speaker 1: And he's a quote only literature I've read, I know,

751
00:39:49,600 --> 00:39:51,840
Speaker 1: did he quote? Did he ever wonder what might happen

752
00:39:51,880 --> 00:39:55,560
Speaker 1: if the accused were immediately executed without trial or representation?

753
00:39:55,719 --> 00:39:59,200
Speaker 1: You're talking to a bunch of white supremacists. Bro, I

754
00:39:59,200 --> 00:40:02,040
Speaker 1: don't think they to kill a mocking first. I don't

755
00:40:02,160 --> 00:40:04,840
Speaker 1: think that was there. You think they opened up to

756
00:40:04,960 --> 00:40:08,440
Speaker 1: kill a mockingbird. Yeah, they did, and they were like

757
00:40:08,480 --> 00:40:09,960
Speaker 1: this is the They're happy, they said.

758
00:40:10,080 --> 00:40:13,399
Speaker 3: At the end, they were like, get that guy got away.

759
00:40:13,480 --> 00:40:17,120
Speaker 1: Radley though, could have been a cooler guy, could have

760
00:40:17,120 --> 00:40:20,080
Speaker 1: been a way cooler character. I thought bou Radley was

761
00:40:20,080 --> 00:40:23,520
Speaker 1: a coup man. Yeah, so this is just you know,

762
00:40:23,680 --> 00:40:26,759
Speaker 1: some bullshit, but it's also a weird trend in his administration.

763
00:40:26,840 --> 00:40:29,960
Speaker 1: He went to the US Open. The US Open final

764
00:40:29,960 --> 00:40:34,200
Speaker 1: happened over the weekend Alcarez First Center, which it's like

765
00:40:34,360 --> 00:40:37,320
Speaker 1: always it's been for the past like five finals. They're

766
00:40:37,360 --> 00:40:40,880
Speaker 1: like the two best players. Highly anticipated match that was

767
00:40:40,920 --> 00:40:45,640
Speaker 1: delayed by I think forty five minutes because he decided

768
00:40:45,640 --> 00:40:48,799
Speaker 1: to come to it and they weren't prepared to like

769
00:40:48,880 --> 00:40:52,360
Speaker 1: screen everybody, like everybody had to go through the equivalent

770
00:40:52,400 --> 00:40:55,719
Speaker 1: of like TSA airport security to get in, so they

771
00:40:55,760 --> 00:40:58,040
Speaker 1: like delayed the match by forty five minutes. And even

772
00:40:58,080 --> 00:41:01,080
Speaker 1: then when it started, it was like half full. Yeah.

773
00:41:01,120 --> 00:41:03,839
Speaker 2: I saw the photos from the outside when I'm like, yeah,

774
00:41:03,880 --> 00:41:05,880
Speaker 2: there was just some like a riot gathering.

775
00:41:05,880 --> 00:41:07,480
Speaker 1: It's like, no, these are people who are trying to

776
00:41:07,600 --> 00:41:12,000
Speaker 1: get in, right, they just had massive security processes to

777
00:41:12,040 --> 00:41:14,360
Speaker 1: get through. This is also like a trend in his

778
00:41:14,360 --> 00:41:18,560
Speaker 1: administration where instead of like he doesn't do like appearances

779
00:41:18,600 --> 00:41:21,960
Speaker 1: that have anything to do with policy, he just goes

780
00:41:22,000 --> 00:41:25,920
Speaker 1: to sporting events. Yeah, like like a you know, like

781
00:41:25,960 --> 00:41:30,080
Speaker 1: a celebrity, Like it's she doesn't work. Yeah, yeahah, he

782
00:41:30,120 --> 00:41:32,160
Speaker 1: has no idea what it means to be president, so

783
00:41:32,200 --> 00:41:34,240
Speaker 1: he's just like, yeah, I do events. I go to events.

784
00:41:34,480 --> 00:41:37,480
Speaker 1: But like I remember during his first administration, he would

785
00:41:38,120 --> 00:41:41,239
Speaker 1: still like it was weird how he would like go

786
00:41:41,320 --> 00:41:43,799
Speaker 1: on all these like campaign rallies, Like it was like

787
00:41:43,880 --> 00:41:46,880
Speaker 1: he never stopped campaigning. Yeah, and like now he's just

788
00:41:46,960 --> 00:41:49,680
Speaker 1: like no, I just like go to fucking USC fights.

789
00:41:49,680 --> 00:41:50,160
Speaker 1: It's sick.

790
00:41:50,760 --> 00:41:54,120
Speaker 2: He's a deflated balloon now. Yeah, he doesn't have the

791
00:41:54,239 --> 00:41:56,719
Speaker 2: energy for that shit anymore. So, like, you know, he's

792
00:41:56,760 --> 00:41:59,480
Speaker 2: just it so and I think that's why he likes

793
00:41:59,520 --> 00:42:02,880
Speaker 2: doing going to these events or these championships or final

794
00:42:03,120 --> 00:42:06,560
Speaker 2: matches or whatever, because it's like all this attention it's

795
00:42:06,560 --> 00:42:08,919
Speaker 2: happening in the US, and then he's there to lord

796
00:42:09,000 --> 00:42:11,080
Speaker 2: over it, to be like and there's me, the most

797
00:42:11,120 --> 00:42:12,640
Speaker 2: powerful man of the country.

798
00:42:13,000 --> 00:42:16,000
Speaker 1: Yeah, this is my job. Usually goes to UFC fights,

799
00:42:16,000 --> 00:42:21,320
Speaker 1: where there's a big approval for him in that audience,

800
00:42:21,400 --> 00:42:23,640
Speaker 1: but at the US Open not so much. He got

801
00:42:23,680 --> 00:42:25,600
Speaker 1: booted a little bit, which we'll talk about in a second.

802
00:42:25,640 --> 00:42:29,360
Speaker 1: But just back to the point of there's this article

803
00:42:29,840 --> 00:42:32,960
Speaker 1: talking about how Trump having built the bulk of his

804
00:42:33,000 --> 00:42:37,160
Speaker 1: second terms domestic travel around attending major sports events, rather

805
00:42:37,200 --> 00:42:39,760
Speaker 1: than hitting the road to make policy announcements or address

806
00:42:39,800 --> 00:42:42,280
Speaker 1: the kind of large rallies he's so relished as a candidate.

807
00:42:42,600 --> 00:42:44,640
Speaker 1: Since returning to the White House in January and prior

808
00:42:44,640 --> 00:42:46,960
Speaker 1: to Sunday's US Open swing, Trump has gone to the

809
00:42:47,000 --> 00:42:52,240
Speaker 1: Super Bowl, the Daytona five hundred, UFC fights in Miami

810
00:42:52,280 --> 00:42:57,480
Speaker 1: and Newark, Great Ones, NCAA Wrestling Championship in Philadelphia, and

811
00:42:57,520 --> 00:42:59,360
Speaker 1: then the FIFA Club World Cup Final.

812
00:43:00,040 --> 00:43:03,279
Speaker 2: Now this I mean, yeah, good, great, great, Yeah, just

813
00:43:03,640 --> 00:43:06,400
Speaker 2: keep wasting everyone's fucking time. It's funny too, because like

814
00:43:06,440 --> 00:43:08,040
Speaker 2: also at the end of last week, there was a

815
00:43:08,080 --> 00:43:11,000
Speaker 2: huge gathering of like Arkansas sowybean farmers who were like,

816
00:43:12,880 --> 00:43:16,360
Speaker 2: we're like fucked yeah, wait, wait, we're supposed to export,

817
00:43:16,480 --> 00:43:19,200
Speaker 2: like a huge amount of this harvest to China and

818
00:43:19,239 --> 00:43:22,759
Speaker 2: there's no deals in place, which is alarming for the

819
00:43:22,920 --> 00:43:24,560
Speaker 2: entire business, and they're like what do we do.

820
00:43:24,600 --> 00:43:27,200
Speaker 1: Trump's like, I'm going to go to the US Open

821
00:43:27,239 --> 00:43:30,640
Speaker 1: and lay over. Yeah, he appeared to fall asleep during

822
00:43:30,680 --> 00:43:33,440
Speaker 1: the match. There's also a moment where he like showed

823
00:43:34,160 --> 00:43:37,359
Speaker 1: a blue thing between his teeth that is hard to

824
00:43:37,400 --> 00:43:41,719
Speaker 1: make out, so people can't figure out. Or I said

825
00:43:41,719 --> 00:43:45,919
Speaker 1: it was a blue chew ad. Yeah. Yeah, I'm about

826
00:43:45,960 --> 00:43:47,960
Speaker 1: to get about to get wet over here, you know

827
00:43:48,040 --> 00:43:51,840
Speaker 1: what I'm saying, Jesus Christ. But yeah, somebody leaked an

828
00:43:51,880 --> 00:43:56,560
Speaker 1: email from the USTA US Tennis Association about like how

829
00:43:57,680 --> 00:44:02,080
Speaker 1: these appearances are handled, because you know, I remember during

830
00:44:02,080 --> 00:44:05,960
Speaker 1: the Super Bowl they showed him and there was like

831
00:44:06,040 --> 00:44:09,560
Speaker 1: a loud like kind of fake sounding like crowd roar

832
00:44:10,280 --> 00:44:12,320
Speaker 1: came up, and so there were you could hear booze,

833
00:44:12,320 --> 00:44:15,440
Speaker 1: but you can also hear like ah, And I was

834
00:44:15,440 --> 00:44:16,560
Speaker 1: always suspicious of that.

835
00:44:17,440 --> 00:44:19,000
Speaker 3: Similar thing happened in this.

836
00:44:19,120 --> 00:44:22,520
Speaker 1: Of course, the crowd was like half not there because

837
00:44:22,560 --> 00:44:26,120
Speaker 1: they were all waiting outside because he was there. But

838
00:44:27,000 --> 00:44:30,680
Speaker 1: this is the text from the USTA email that this

839
00:44:31,480 --> 00:44:35,160
Speaker 1: website bounces allegedly got leaked to them. With respect to

840
00:44:35,160 --> 00:44:37,480
Speaker 1: broadcast coverage, the president will be shown on the World

841
00:44:37,560 --> 00:44:40,360
Speaker 1: feed in the ash Court feed during the opening anthem ceremony.

842
00:44:40,600 --> 00:44:44,600
Speaker 1: We asked all broadcasters to refrain from showcasing any disruptions

843
00:44:44,640 --> 00:44:49,880
Speaker 1: or reactions in response to the President's attendant in any capacity.

844
00:44:50,040 --> 00:44:54,640
Speaker 1: So not showcasing any reactions in response to the President's

845
00:44:54,640 --> 00:44:59,000
Speaker 1: attendance in any capacity. God, I mean, he's like treating

846
00:44:59,040 --> 00:45:01,640
Speaker 1: people's displeasure with him like you would a streaker, You

847
00:45:01,800 --> 00:45:05,200
Speaker 1: just like turn a rich game attention, attention.

848
00:45:05,840 --> 00:45:08,480
Speaker 2: I mean, I'm sure you know I get that for

849
00:45:08,560 --> 00:45:10,880
Speaker 2: the super Bowl because enough of his people were watching

850
00:45:10,920 --> 00:45:12,920
Speaker 2: the super Bowl, so like, maybe you don't want them

851
00:45:12,920 --> 00:45:15,439
Speaker 2: to be like, Wow, people really don't like the president. Huh,

852
00:45:15,560 --> 00:45:18,920
Speaker 2: the US open bro mindes are made up. And also,

853
00:45:20,200 --> 00:45:23,120
Speaker 2: no one is making their judgment about Donald Trump based

854
00:45:23,160 --> 00:45:26,800
Speaker 2: on how many booze they hear at a fucking UFC fight, right,

855
00:45:27,080 --> 00:45:30,040
Speaker 2: everything else that's happening to people every day.

856
00:45:30,080 --> 00:45:34,040
Speaker 1: That that is makes up the bulk of why people

857
00:45:34,080 --> 00:45:36,160
Speaker 1: respond like that. But yeah, I mean me, that's like

858
00:45:36,239 --> 00:45:40,359
Speaker 1: morbidly curious, and just like, are is everybody else seeing this?

859
00:45:40,560 --> 00:45:43,600
Speaker 1: Like isn't everybody Is it just the soybean farmers? Isn't

860
00:45:43,640 --> 00:45:45,200
Speaker 1: everybody else fucking outraged?

861
00:45:45,480 --> 00:45:47,600
Speaker 2: And yeah, yeah, well think about it now, like with

862
00:45:47,680 --> 00:45:50,480
Speaker 2: tariffs man too, Like you see people who have like,

863
00:45:50,960 --> 00:45:53,560
Speaker 2: you know, a little like interests where they or hobbies

864
00:45:53,640 --> 00:45:55,560
Speaker 2: or like they buy things from outside of the country.

865
00:45:56,160 --> 00:45:59,600
Speaker 2: Like everyone's like, no one's safe from the policies at

866
00:45:59,600 --> 00:46:02,800
Speaker 2: this point. Not to say that it's existential for everyone,

867
00:46:02,920 --> 00:46:07,080
Speaker 2: because clearly people of color and people who are not

868
00:46:07,200 --> 00:46:10,000
Speaker 2: like Cishet, you know, Christian people are always going to

869
00:46:10,040 --> 00:46:13,080
Speaker 2: be under the threat of this regime. But like just

870
00:46:13,120 --> 00:46:15,480
Speaker 2: people who like trying to buy a thing from somewhere

871
00:46:15,480 --> 00:46:16,480
Speaker 2: else are not Like the.

872
00:46:16,520 --> 00:46:20,360
Speaker 1: Tariffs, Well, why do I got to pay twenty dollars

873
00:46:20,400 --> 00:46:23,280
Speaker 1: on this thing that's that's only sixty bucks? This doesn't

874
00:46:23,320 --> 00:46:26,080
Speaker 1: make any sense, But I don't know, we'll see maybe

875
00:46:26,120 --> 00:46:31,240
Speaker 1: the maybe the booze will inspire something. My Nazi dining

876
00:46:31,320 --> 00:46:35,359
Speaker 1: plate set is so much more expensive now. Fuck now

877
00:46:35,360 --> 00:46:38,120
Speaker 1: I have to triangulate it and send it through Vietnam

878
00:46:38,200 --> 00:46:38,600
Speaker 1: to get it.

879
00:46:39,280 --> 00:46:41,800
Speaker 3: Let's take a quick break and we'll be right back.

880
00:46:51,680 --> 00:46:52,239
Speaker 1: Enter it back.

881
00:46:53,560 --> 00:46:54,399
Speaker 3: Remains to be seen.

882
00:46:54,400 --> 00:46:57,280
Speaker 1: Whether or not the Department of Health and Human Services

883
00:46:57,360 --> 00:47:01,360
Speaker 1: upcoming report will recommend the use of leech or exorcisms,

884
00:47:01,840 --> 00:47:04,560
Speaker 1: but according to The Wall Street Journal, it will suggest

885
00:47:04,640 --> 00:47:06,520
Speaker 1: that the use of tail and all by pregnant women

886
00:47:06,560 --> 00:47:09,800
Speaker 1: may potentially lead to autism and children. They're just throwing

887
00:47:09,840 --> 00:47:13,239
Speaker 1: out they got lots of theories here. Mm hmm. They

888
00:47:13,280 --> 00:47:16,640
Speaker 1: said this was just speculation, but they also claimed that

889
00:47:16,719 --> 00:47:19,840
Speaker 1: they're quote using gold standard science to get to the

890
00:47:19,880 --> 00:47:25,080
Speaker 1: bottom of America's unprecedented horizon autism rates, which kind of

891
00:47:25,120 --> 00:47:28,440
Speaker 1: makes it sound like they're just going to announce it

892
00:47:28,520 --> 00:47:31,320
Speaker 1: and then probably got their info from like the Google

893
00:47:31,360 --> 00:47:39,080
Speaker 1: AI and asking jeeves the why the fuck what? I

894
00:47:39,080 --> 00:47:40,880
Speaker 1: don't even know, Like what are we gonna fucking do?

895
00:47:41,120 --> 00:47:44,440
Speaker 1: Everyone's gonna have to eat rocks and shit, I got

896
00:47:44,480 --> 00:47:45,920
Speaker 1: a tummy age and eat rocks.

897
00:47:45,960 --> 00:47:49,680
Speaker 2: Everything just wild, how truly? Like the logic is, like,

898
00:47:49,960 --> 00:47:54,280
Speaker 2: I don't know, just say it causes autism, yeah, policy,

899
00:47:55,280 --> 00:47:57,279
Speaker 2: Oh yeah, And even if we just think it.

900
00:47:57,239 --> 00:48:00,200
Speaker 1: Might, we got we gotta call it out. And then

901
00:48:00,400 --> 00:48:02,560
Speaker 1: who are we going to put on the case? People

902
00:48:02,600 --> 00:48:07,080
Speaker 1: with no real bonafide medical training. Yeah yeah, with which

903
00:48:07,080 --> 00:48:09,239
Speaker 1: I'm medical training. We got to fire those motherfuckers.

904
00:48:09,719 --> 00:48:14,320
Speaker 2: Oh, you know what cause aptism bonafide medical training.

905
00:48:14,360 --> 00:48:17,880
Speaker 1: A few smaller studies that actually have suggested an association

906
00:48:17,960 --> 00:48:20,960
Speaker 1: between fetal exposure to acet of metaphine, the active ingredient,

907
00:48:21,000 --> 00:48:25,320
Speaker 1: and thilenol and subsequent risk of diagnosis with autism spectrum

908
00:48:25,320 --> 00:48:31,800
Speaker 1: disorder and attention deficit hyperactivity disorder, but the largest study

909
00:48:31,800 --> 00:48:35,160
Speaker 1: to date found no increased risk. And also that's like

910
00:48:36,120 --> 00:48:40,799
Speaker 1: such a massive like everybody uses thailanol, so that's going

911
00:48:40,840 --> 00:48:46,200
Speaker 1: to be really hard to Also, importantly, untreated fever during

912
00:48:46,239 --> 00:48:50,440
Speaker 1: pregnancy increases the risk of miscarriage, birth defects, and premature birth,

913
00:48:50,480 --> 00:48:54,080
Speaker 1: and untreated pain can lead to maternal depression, anxiety, and

914
00:48:54,160 --> 00:48:59,040
Speaker 1: high blood pressure. So yeah, all of these things that

915
00:48:59,239 --> 00:49:03,480
Speaker 1: they're just like kind of coming out and throwing bombs about,

916
00:49:03,520 --> 00:49:05,319
Speaker 1: you know, just being like, yeah, well you know what

917
00:49:05,400 --> 00:49:09,080
Speaker 1: might like the way that like they they use all

918
00:49:09,160 --> 00:49:15,240
Speaker 1: the care and scientific examination of somebody sending an email

919
00:49:15,280 --> 00:49:20,160
Speaker 1: forward it seems like and so like no thinking it through,

920
00:49:21,080 --> 00:49:25,719
Speaker 1: just you know, whether it seems interesting and compelling to him,

921
00:49:26,760 --> 00:49:28,040
Speaker 1: you know, and then like passes.

922
00:49:28,320 --> 00:49:33,040
Speaker 2: Yeah, the whole the whole health in human services arm

923
00:49:33,080 --> 00:49:36,360
Speaker 2: of the government is now just the correlation is causation

924
00:49:38,120 --> 00:49:41,680
Speaker 2: and that's that's it, which feels like can't somebody like

925
00:49:42,239 --> 00:49:44,319
Speaker 2: at this point, like just play dirty and cook up

926
00:49:44,320 --> 00:49:47,080
Speaker 2: a study about like something that would get RFK freaking

927
00:49:47,080 --> 00:49:50,239
Speaker 2: out about himself, Like i'mrest seen this new study man

928
00:49:50,760 --> 00:49:53,960
Speaker 2: about like touching dead bears and getting whale juice on

929
00:49:54,000 --> 00:49:55,920
Speaker 2: your on your fucking hands.

930
00:49:55,800 --> 00:49:59,920
Speaker 1: Here, whatever fucking steroids he's taking, Like, oh right, exactly

931
00:50:00,800 --> 00:50:03,480
Speaker 1: what about TRT man? Do you read about that? You

932
00:50:03,560 --> 00:50:05,520
Speaker 1: know about that? You know about that, RFK? I don't know.

933
00:50:05,600 --> 00:50:09,360
Speaker 1: We'll see the overuse of the seta metapine is super dangerous.

934
00:50:09,440 --> 00:50:12,040
Speaker 1: But oh yeah, I'm glad. I grew up in a

935
00:50:12,080 --> 00:50:14,359
Speaker 1: house with an immigrant mom who said I didn't need

936
00:50:14,400 --> 00:50:20,840
Speaker 1: it all the time, fucking all the time. We didn't

937
00:50:20,880 --> 00:50:23,880
Speaker 1: have fun trying to get No.

938
00:50:23,920 --> 00:50:26,239
Speaker 2: I wasn't even that no my mom, no, no, she wasn't.

939
00:50:26,320 --> 00:50:28,239
Speaker 2: She wasn't fucking with me like that. She she had

940
00:50:28,280 --> 00:50:31,480
Speaker 2: the ethos of just like a World War two hardened

941
00:50:31,760 --> 00:50:35,719
Speaker 2: boomer who was like, you don't need it, and I

942
00:50:35,760 --> 00:50:38,319
Speaker 2: was like, my but like my head hurts. She's like

943
00:50:38,640 --> 00:50:41,719
Speaker 2: it's fine, but like you're you're still talking. You can

944
00:50:41,719 --> 00:50:42,279
Speaker 2: get through it.

945
00:50:42,600 --> 00:50:43,440
Speaker 1: And I was like, uh.

946
00:50:44,000 --> 00:50:47,040
Speaker 2: And then I remember when I had like Osgrid schlaughters,

947
00:50:47,120 --> 00:50:50,040
Speaker 2: like joint pain from growing like growth spurts and stuff

948
00:50:50,120 --> 00:50:51,240
Speaker 2: like my knees would.

949
00:50:51,480 --> 00:50:53,880
Speaker 1: Kill and she would be like, no, he's just use

950
00:50:53,920 --> 00:50:55,840
Speaker 1: some ice or whatever. I mean that did work, that

951
00:50:55,880 --> 00:50:58,359
Speaker 1: did help, But like, yeah, I guess my mom also

952
00:50:58,600 --> 00:51:01,879
Speaker 1: a world treatments. I feel like sometimes they were.

953
00:51:02,160 --> 00:51:03,880
Speaker 2: She was also like of the thing where she's like,

954
00:51:03,880 --> 00:51:05,799
Speaker 2: I don't want you to get momentum going that when

955
00:51:05,840 --> 00:51:09,440
Speaker 2: you come up against a hardship, that there's a just

956
00:51:09,440 --> 00:51:11,719
Speaker 2: just take a pill for for that. Yeah yeahh And

957
00:51:11,760 --> 00:51:13,799
Speaker 2: I'm like, well that's I mean, that's a little that

958
00:51:13,880 --> 00:51:16,680
Speaker 2: cuts both ways. Like there are certain instances we absolutely

959
00:51:16,680 --> 00:51:20,080
Speaker 2: do do you need medication or to be medicated for something?

960
00:51:20,760 --> 00:51:22,520
Speaker 2: But hey, I get it, Mom, I get it. You're

961
00:51:22,560 --> 00:51:24,920
Speaker 2: building up a real tough kid who just cry in

962
00:51:24,960 --> 00:51:26,280
Speaker 2: his room with knee pain.

963
00:51:26,280 --> 00:51:31,200
Speaker 1: Crying over his damn knees over there, all right. Uh.

964
00:51:31,239 --> 00:51:35,680
Speaker 1: And finally there's this Amazon backed company called Showrunner. They

965
00:51:35,719 --> 00:51:39,759
Speaker 1: made those terrible south Park videos where they were like, right,

966
00:51:39,880 --> 00:51:43,480
Speaker 1: we can ai a south Park episode. I created these

967
00:51:43,680 --> 00:51:48,640
Speaker 1: entire episodes of south Park that are unwatchable. I really

968
00:51:48,640 --> 00:51:51,200
Speaker 1: recommend people just like again if you if you have

969
00:51:51,239 --> 00:51:55,960
Speaker 1: any doubt about like the level of delusion that people

970
00:51:56,080 --> 00:52:01,600
Speaker 1: have over AI and like what is actually possible versus

971
00:52:01,640 --> 00:52:05,480
Speaker 1: like what is being promised, Like, just watch these episodes

972
00:52:05,520 --> 00:52:08,640
Speaker 1: of South Park because they think they're good. They're like,

973
00:52:08,640 --> 00:52:13,080
Speaker 1: look at this, this is incredible, and it's just fucking

974
00:52:13,239 --> 00:52:16,240
Speaker 1: like they just do plot exposition over and over again,

975
00:52:16,360 --> 00:52:19,160
Speaker 1: and they just and they make themselves like some of

976
00:52:19,200 --> 00:52:23,399
Speaker 1: the executives become like characters in this in the episode. Yeah,

977
00:52:23,400 --> 00:52:26,440
Speaker 1: it sucks. Shit. They claim that they're gonna be the

978
00:52:26,480 --> 00:52:29,480
Speaker 1: Netflix of AI. I don't know what that could like.

979
00:52:29,520 --> 00:52:32,400
Speaker 1: I guess that they're just going to like make tons

980
00:52:32,480 --> 00:52:35,719
Speaker 1: of streaming content with AI. That's just everybody's gonna want

981
00:52:35,719 --> 00:52:39,600
Speaker 1: to watch stupid buzzy pitch the blank of AI. Oh

982
00:52:39,640 --> 00:52:43,840
Speaker 1: we're the fucks of AI. Oh okay, So they're taking

983
00:52:44,120 --> 00:52:51,799
Speaker 1: there's a famous unfinished project orson Welles's, the Magnificent Amberson's.

984
00:52:52,680 --> 00:52:55,960
Speaker 1: It's kind of like the Royal Tent tenebaumbs like it's,

985
00:52:56,000 --> 00:53:00,560
Speaker 1: you know, a talented family. He turned it into the studio.

986
00:53:00,880 --> 00:53:04,160
Speaker 1: They added it to under ninety minutes without his permission

987
00:53:04,520 --> 00:53:08,279
Speaker 1: and learned the unused footage. They burned it like the

988
00:53:08,320 --> 00:53:11,440
Speaker 1: fuck out of here. Uh yeah, I mean Citizen King

989
00:53:11,560 --> 00:53:13,799
Speaker 1: wasn't like it didn't win the Oscar when it was made.

990
00:53:13,840 --> 00:53:16,880
Speaker 1: It was like, you know, people, I just wonder.

991
00:53:17,800 --> 00:53:20,960
Speaker 2: I just love the fucking fuck you factor about being

992
00:53:21,040 --> 00:53:23,399
Speaker 2: like yeah, yeah, they're like, well, what about my other

993
00:53:23,400 --> 00:53:26,040
Speaker 2: foot We burned that shit, bro, that's it's gone.

994
00:53:26,080 --> 00:53:29,560
Speaker 1: So that's so, did you think you had final cut? Yeah, dude,

995
00:53:29,600 --> 00:53:33,400
Speaker 1: that's just burnt. Fuck over at Orson. Okay, it's burned.

996
00:53:34,320 --> 00:53:39,320
Speaker 1: We burned it so fucking violently. It's like that happens

997
00:53:39,920 --> 00:53:43,560
Speaker 1: at the end of Citizen Kan. Yeah, they're like, yeah,

998
00:53:43,600 --> 00:53:48,240
Speaker 1: we actually thought we saw your last masterpiece. Uh loved

999
00:53:48,280 --> 00:53:51,440
Speaker 1: at the end when something was irrevocably lost to time,

1000
00:53:51,560 --> 00:53:54,240
Speaker 1: the key answer in a fire, and so we decided

1001
00:53:54,239 --> 00:53:59,640
Speaker 1: to burn your forty three minutes. Anyways, so they're they're

1002
00:53:59,719 --> 00:54:03,120
Speaker 1: claim like, we're going to take those forty three minutes

1003
00:54:03,120 --> 00:54:07,680
Speaker 1: and recreate them with AI, with just like dead eyed

1004
00:54:08,080 --> 00:54:11,000
Speaker 1: versions of the actors that already exist, which I think

1005
00:54:11,080 --> 00:54:14,040
Speaker 1: is just a dry run for making feature length AI slop.

1006
00:54:14,640 --> 00:54:17,200
Speaker 1: They haven't even obtained the rights to do this. They're

1007
00:54:17,280 --> 00:54:19,560
Speaker 1: just you know, like they did with the South Park

1008
00:54:19,600 --> 00:54:24,480
Speaker 1: thing they didn't obtained. Yeah, Like, I'm sure this won't

1009
00:54:24,480 --> 00:54:28,880
Speaker 1: be quite as absurd as the South Park thing, because

1010
00:54:29,760 --> 00:54:33,839
Speaker 1: I don't think you can rewrite like they Hey, I

1011
00:54:33,920 --> 00:54:36,799
Speaker 1: just can't do comedy, can't, like at least these guys

1012
00:54:36,880 --> 00:54:39,120
Speaker 1: using AI can't do comedy. I mean clearly can't do

1013
00:54:39,200 --> 00:54:42,800
Speaker 1: drama either, with like all the fucking robot still people

1014
00:54:42,840 --> 00:54:43,680
Speaker 1: in the background.

1015
00:54:44,080 --> 00:54:44,279
Speaker 4: Yeah.

1016
00:54:44,360 --> 00:54:48,560
Speaker 1: Yeah, so I don't know, we'll see. I'm claiming that

1017
00:54:48,600 --> 00:54:50,840
Speaker 1: it won't. They won't be commercializing it, and it's purely

1018
00:54:50,880 --> 00:54:53,799
Speaker 1: for academic value, but hopefully part of that is to

1019
00:54:55,280 --> 00:54:57,160
Speaker 1: you know, release it to everybody so that we can

1020
00:54:57,200 --> 00:54:58,160
Speaker 1: see what they come up with.

1021
00:54:58,480 --> 00:55:00,480
Speaker 2: Yeah, oh god, and everyone's going to be like, like, Wow,

1022
00:55:00,560 --> 00:55:04,520
Speaker 2: this movie I've never fucking heard of. Yeah, thank god

1023
00:55:04,680 --> 00:55:07,680
Speaker 2: you guys resurrected it like it's it's it's like even

1024
00:55:07,719 --> 00:55:10,960
Speaker 2: the worst thing to even drum up excitement for this project.

1025
00:55:11,360 --> 00:55:13,960
Speaker 2: I can think of many other things you could probably do,

1026
00:55:14,040 --> 00:55:16,759
Speaker 2: but again, those probably those creators are probably.

1027
00:55:16,480 --> 00:55:19,040
Speaker 1: Still alive and are litigious. So you don't want to

1028
00:55:19,200 --> 00:55:21,759
Speaker 1: go out here saying we're gonna we're gonna release the

1029
00:55:21,800 --> 00:55:26,399
Speaker 1: Snyder cut with AI Yeah, a script must exist, right,

1030
00:55:26,400 --> 00:55:29,000
Speaker 1: They're not just going to be like we just are guessing.

1031
00:55:29,160 --> 00:55:33,320
Speaker 1: So they're working off a script. Even better. Yeah, they're like,

1032
00:55:33,360 --> 00:55:37,040
Speaker 1: I don't know, this is just like has Citizen Cane vibes.

1033
00:55:37,120 --> 00:55:38,960
Speaker 2: We fed at the ninety minute cut and we're like,

1034
00:55:39,000 --> 00:55:40,720
Speaker 2: hey man, add forty three minutes.

1035
00:55:41,640 --> 00:55:46,440
Speaker 1: It's just a post credit scene where various new magnificent

1036
00:55:46,520 --> 00:55:51,600
Speaker 1: Amberson's are introduced. There's a skivity toilet in it too. Somehow,

1037
00:55:51,680 --> 00:55:53,960
Speaker 1: It's very interesting, very interesting.

1038
00:55:54,160 --> 00:55:57,239
Speaker 2: God man, it's I mean the excitement like you say,

1039
00:55:57,320 --> 00:55:59,439
Speaker 2: it's the same thing like I had as a kid

1040
00:55:59,480 --> 00:56:03,240
Speaker 2: when I was uote unquote cooking, like at four years old. Yeah,

1041
00:56:03,280 --> 00:56:06,319
Speaker 2: I put shit in a pot that was edible and

1042
00:56:06,360 --> 00:56:09,640
Speaker 2: then I go, look, I made a sauce for the food, and.

1043
00:56:09,520 --> 00:56:10,920
Speaker 1: My parents go oh wow.

1044
00:56:11,360 --> 00:56:15,400
Speaker 2: And in my mind I'm motherfucking chef Ludo or Gordon

1045
00:56:15,480 --> 00:56:18,280
Speaker 2: Ramsey or some shit, and they're like, the same fucking looks.

1046
00:56:18,080 --> 00:56:23,000
Speaker 3: Spring basted turkey. Yeah exactly, okay, thank thanks man.

1047
00:56:23,120 --> 00:56:25,120
Speaker 1: These people aren't artists.

1048
00:56:26,080 --> 00:56:29,320
Speaker 2: Get the thing to shoot out something that resembles human

1049
00:56:29,400 --> 00:56:30,640
Speaker 2: expression and they go.

1050
00:56:32,400 --> 00:56:33,080
Speaker 3: Look what it did.

1051
00:56:33,320 --> 00:56:37,879
Speaker 1: It's the thing. It's art. I did art with the machine.

1052
00:56:38,239 --> 00:56:40,440
Speaker 1: You made a fucking you made a sauce that four

1053
00:56:40,560 --> 00:56:43,080
Speaker 1: year old Miles did and you're calling it cooking. Anyways,

1054
00:56:43,120 --> 00:56:48,359
Speaker 1: we've learned today that uh copyright infringement causing diseases with

1055
00:56:48,440 --> 00:56:52,760
Speaker 1: your hobby and uh war crimes are only a problem

1056
00:56:52,800 --> 00:56:55,359
Speaker 1: if you're not a billionaire. There you go, and also

1057
00:56:55,480 --> 00:56:59,080
Speaker 1: cheating at the cheating at basketball to fuck the CBA, man,

1058
00:56:59,200 --> 00:57:02,560
Speaker 1: you know what I mean? Yeah, exactly. Finally I'm going

1059
00:57:02,640 --> 00:57:05,080
Speaker 1: to say that because it's getting a billionaire in trouble.

1060
00:57:05,480 --> 00:57:07,200
Speaker 1: Did you see I think there was a thing where

1061
00:57:07,200 --> 00:57:09,040
Speaker 1: Mark Cuban is even like that's not even in the

1062
00:57:09,040 --> 00:57:14,200
Speaker 1: cb and Pablos like it is. He's like, well sure maybe,

1063
00:57:14,239 --> 00:57:15,600
Speaker 1: and it's like, see this is how.

1064
00:57:15,680 --> 00:57:18,640
Speaker 3: I'm not here to argue what's in the CBA.

1065
00:57:19,160 --> 00:57:20,640
Speaker 2: That was the other thing that was really just to

1066
00:57:20,640 --> 00:57:23,120
Speaker 2: get back on that thing, where was it?

1067
00:57:23,200 --> 00:57:26,000
Speaker 1: What was a thing called a not a firm, a

1068
00:57:26,040 --> 00:57:30,040
Speaker 1: spot aspiration aspiration when Mark Cuban was like, maybe they

1069
00:57:30,120 --> 00:57:33,440
Speaker 1: wanted to pay Kawhi fifty million on their own because

1070
00:57:33,480 --> 00:57:35,920
Speaker 1: they know it helps to be the sponsor of a

1071
00:57:35,960 --> 00:57:38,240
Speaker 1: team that has Kawhi Leonard on it, so they have

1072
00:57:38,320 --> 00:57:42,160
Speaker 1: their own motivation to do that, like Mark Cuban shut

1073
00:57:42,320 --> 00:57:45,840
Speaker 1: the front door. Yeah all right, those are some of

1074
00:57:45,880 --> 00:57:48,840
Speaker 1: the things that are trending on this Monday morning. We're

1075
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Speaker 1: back tomorrow with a whole last episode of the show.

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Speaker 1: Until then, be kind to each other, be kind to yourselves,

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Speaker 1: get your vaccines where you still can get your flu shots,

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Speaker 1: don't do nothing about white supremacy, and we will talk

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Speaker 1: to y'all tomorrow. Bye bye bye. The Daily Zeitgeist as

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Speaker 1: executive produced by Catherine Law, co produced by Bee Wayne,

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Speaker 1: co produced by Victor Wright, co written by j M McNabb,

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Speaker 1: and edited and engineered by Brian Jefferies.