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Speaker 1: Is there such thing as too much cream cheese on

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Speaker 1: a bagel? I'm not talking about being obscene and putting

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Speaker 1: a whole thing, but would Jarry be like, wow, you

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Speaker 1: put a lot of the cream cheese on your bagel?

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Speaker 2: I think structurally the limit physics limits you before it

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Speaker 2: too much.

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Speaker 3: There's a saturation point.

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Speaker 1: Yes, yes, yes, but I'm saying, do you like a

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Speaker 1: healthy smear of cream cheese on there versus like some

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Speaker 1: people like like it light and I'm like, no, bro,

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Speaker 1: I need I need some of that cream for me personally.

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Speaker 3: That's like asking if there's too much gravy on turkey.

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Speaker 3: There's not really.

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Speaker 1: Yeah, yeah, okay, so okay, so Justin is an intellectual.

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Speaker 4: Yeah, you hit the physical limits. I will say something

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Speaker 4: has changed with the kids. Where the kids my kids

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Speaker 4: and judging from other kids who have had bagels at

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Speaker 4: birthday parties that I've been around, they don't like the

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Speaker 4: heavy shr anymore. My kids want it treated like butter,

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Speaker 4: like the way you butter a bagel, Like it's I

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Speaker 4: put you know how much butter I put on ship?

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Speaker 1: Yeah?

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Speaker 4: They they like it so that like you can see

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Speaker 4: the bagel mostly and then there's just like something it's

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Speaker 4: like an aderation that they're exercising. I know my kids

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Speaker 4: like don't like cheese. They don't like Maybe it's the

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Speaker 4: cream cheese. They might be lactose intolerant. I don't like

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Speaker 4: ice cream for some reason.

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Speaker 1: They don't like milkmus. It's lactate.

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Speaker 3: They're like sitting on the toilet for six hours.

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Speaker 1: I don't know what's wrong with it.

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Speaker 4: Weird, Hello the Internet, and welcome to season three point

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Speaker 4: fifty six, episode four of Dirty's Ice Theory production of

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Speaker 4: iHeart Radio and amer Because Only Undecided podcast. This is

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Speaker 4: a podcast where we take a deep dive into America

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Speaker 4: share consciousness.

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Speaker 1: What man We keep saying that that happened when I

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Speaker 1: was gone. Oh just just the trend of manufactured.

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Speaker 4: Uh media's obsession with undecided.

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Speaker 1: It's to get all.

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Speaker 4: I just want the New York Times to notice me.

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Speaker 1: Yeah, this'd be like, this podcast is amazing. Look at

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Speaker 1: listen to how they talk. They're truly undecided.

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Speaker 4: We checked in with some undecided voters and they had

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Speaker 4: this to say.

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Speaker 1: This biracial rat earth or this biracial flat earther is calm,

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Speaker 1: a curious.

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Speaker 4: It is Thursday, September nineteenth twenty twenty four.

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Speaker 1: Hey, you know what that is? Right?

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Speaker 5: Well?

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Speaker 1: I do. It's National pop PA Day. Dude, what is

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Speaker 1: a pop pop b A W P A W. It's

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Speaker 1: an American it's a fruit. Yeah, it's a mango banana

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Speaker 1: flavored popa. And I'm like, yeah, I don't know.

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Speaker 3: They're delicious and they've been lost to history. But you

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Speaker 3: guys should check out historic culinary traditions in America. That's

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Speaker 3: one of them.

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Speaker 1: There it is. Yeah, I had an idea. Yeah, they

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Speaker 1: call it the kent Kentucky banana or Hillbilly mango apparently. Yeah,

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Speaker 1: I'm in for a Kentucky banana if you don't mind

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Speaker 1: about to change some of my responses later. I love this.

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Speaker 1: It's also National butter Scotch Day. I'm speaking of one

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Speaker 1: hundred year old things. Shout out a nice bit of

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Speaker 1: butter scotch pudding day. Butter scotch. Oh yeah, I'm sorry,

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Speaker 1: butterscotch pudding. My bad. Talk like a pirate day. So

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Speaker 1: don't tell your kids or else going to know the

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Speaker 1: fuck out.

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Speaker 4: Yeah, don't tell that guy that you work with, don't

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Speaker 4: the guy who makes a noisy.

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Speaker 2: One of one of you guys is the coworker who

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Speaker 2: does talk like a pirate day and I'm gonna find

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Speaker 2: out which one it is.

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Speaker 1: Yeah, look around you.

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Speaker 4: Is there somebody who's the guy who's annoying on National

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Speaker 4: talk like?

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Speaker 1: Then it's you. You come on.

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Speaker 4: You'd be hard pressed to brood which one of us

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Speaker 4: that is. Well, my name's Jack O'Brien aka n Essay.

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Speaker 4: They listen to what you say, recording you every day.

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Speaker 4: It's okay. They got a podcast for you to stream

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Speaker 4: now that is courtesy a Peanuty Brown on the Discord,

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Speaker 4: just a workmanlike conveying information. The Nessay listen to what

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Speaker 4: you say and they've got a podcast for you to

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Speaker 4: stream now. It's the only other podcast that we're aware

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Speaker 4: of other than the dailies. I guessed, Yeah, yes, we

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Speaker 4: don't acknowledge other podcasts, but well we'll allow you to

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Speaker 4: check that one out, folks. I'm thrilled to be joined

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Speaker 4: as always by my co host mister Miles.

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Speaker 1: Gray Miles Gray King Kriking It's club What's down inside

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Speaker 1: the Draine or Norway's Chalker's okay, shut out scouty of

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Speaker 1: the Discord because like I said, I'm in drain cleaning

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Speaker 1: Australia YouTube channel with the other Oh you might absolute chalkers,

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Speaker 1: so shout out Scouty for that one. Mixing it with

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Speaker 1: a little wheezer Beverly Hills was quite.

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Speaker 4: That's one where I read it on the discord and

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Speaker 4: I was excited to hear you sing it so and

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Speaker 4: he did not disappoint. Well, Miles, we are through to

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Speaker 4: be joined in our third seat by one of the

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Speaker 4: very faces on Mount Zitemore, a hilarious and brilliant producer

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Speaker 4: and TV writer. You know him from the Joss Racist podcast.

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Speaker 1: It's Andrew T.

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Speaker 6: Andrew Gordy slowly back to zoom Land, back to the pod.

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Speaker 1: Well, my akay is a Stolenn.

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Speaker 6: This is a holet Bro pod that somehow never bombs.

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Speaker 1: Calm learning, have fun. Calm learning, have fun, Calm learning,

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Speaker 1: have fun.

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Speaker 6: Come the course every day is like takes day every

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Speaker 6: day with Jack and Miles Gray.

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Speaker 1: Oh that's as far as I got.

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Speaker 2: Wow song from noted racist Morris Morrisey.

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Speaker 1: Yeah, on a day we're talking about immigration. Yes, he's

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Speaker 1: a cool guy. I didn't think it was maybe a

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Speaker 1: Smith's song, but no Morrisey. When I used to work,

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Speaker 1: I've priced this story before when I used to work

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Speaker 1: like events. I worked a Morrissey show and like like

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Speaker 1: doing concessions and stuff, and like no one was allowed

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Speaker 1: to bring meat in, Like you couldn't even eat your

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Speaker 1: own meat. When he was there, I was like, my

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Speaker 1: own meat. I love eating my own meat. But they

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Speaker 1: don't know. They didn't allow everything Vegan, Yeah, don't play

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Speaker 1: with your own meat. To quote Doc Rivers, Yeah, yeah, more.

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Speaker 4: I think I had to work a fish show once

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Speaker 4: and just the only sober five people in the building

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Speaker 4: were like we're tenth graders who were just like I

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Speaker 4: don't know what we were even doing, like selling concessions

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Speaker 4: or something for our basketball team.

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Speaker 1: It's very weird. Oh at a fish show. At a

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Speaker 1: fish show? Yeah, oh when you said working at fish show,

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Speaker 1: I didn't even like what like event stuff, like event stuff,

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Speaker 1: just you went to do a fundraising sell like Baker. Yeah,

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Speaker 1: that was like one of the things.

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Speaker 4: I mean, I remember one time we worked the parking

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Speaker 4: lot at a I think it was a horse race

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Speaker 4: because this was in Kentucky. But like, yeah, they would

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Speaker 4: just like get weird jobs for us to do that

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Speaker 4: would like raise money for the basketball team, which is

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Speaker 4: like someone like grip.

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Speaker 1: Hey man, I got about fifteen fourteen year olds. Yeah,

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Speaker 1: exactly an event. What just get back to this strange

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Speaker 1: knowing you guys.

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Speaker 2: Worked big concerts really actually makes the trailer for the

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Speaker 2: movie Trap make a lot more sense to me, just

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Speaker 2: the part where the dude just tells him all the

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Speaker 2: information about what's like the concessions guys like, yeah, there's

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Speaker 2: an FBI sting and they're trying to catch the killer,

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Speaker 2: and it's like, oh, yeah, that's how.

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Speaker 1: It would go down.

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Speaker 2: It's just like if any bozo working concessions was given

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Speaker 2: the full plan of the FBI.

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Speaker 1: Yeah, that's it there it is.

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Speaker 4: Yeah, those massive events are like not run by the

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Speaker 4: I think I think of those people as cops, but

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Speaker 4: they're not.

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Speaker 1: They're just people pro staff. Yeah, just like staff.

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Speaker 4: At like the Crypto Arena and stuff like that.

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Speaker 2: They walk confidently behind doors that you feel like, what

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Speaker 2: even would it take for me to get access to that?

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Speaker 4: There's probably snipers back there. My first thought, Yeah, what

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Speaker 4: a weird What a weird thing. I wonder if that

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Speaker 4: has changed or if high school kids are still like

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Speaker 4: working events just on a volunteer basis.

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Speaker 1: Well, I feel like when you're a kid. I remember

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Speaker 1: doing all kinds of stuff. It's like, Yo, dude, my

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Speaker 1: dad will give us forty bucks if we work twelve

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Speaker 1: hours at his like shop, and you're like forty bucks

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Speaker 1: for twelve hours. Yeah, okay, I'm sure kids still get

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Speaker 1: into that shit or like free hell yeah, free under

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Speaker 1: the no, Actually you gotta fill out at I nine.

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Speaker 4: What the fuck's so worried about taxes and tens?

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Speaker 2: I mean I could be farming bitcoin online, but this

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Speaker 2: sounds much better.

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Speaker 1: Yeah.

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Speaker 4: Yeah, kids are probably like way too sophisticated to do that.

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Speaker 1: Be like, why would I do that?

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Speaker 4: I could be fucking grifting somebody, Like.

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Speaker 1: Yeah, they're like four X trading. They're like, I don't know. Actually,

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Speaker 1: with the weakness of the sterling, the pound sterling, I

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Speaker 1: don't know if I should take that job. You're like, god,

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Speaker 1: so fucking savvy.

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Speaker 4: All of a sudden, you have any idea how many

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Speaker 4: old people there are in this country who will just

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Speaker 4: click on any email that I sent them that has

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Speaker 4: like Trump demands that you.

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Speaker 1: Open this link. Yeah, true passive income.

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Speaker 4: All right, Andrew, we're gonna get to know you a

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Speaker 4: little bit better in a moment. Just first, we're gonna

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Speaker 4: tell the listeners a couple of things we're talking about.

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Speaker 4: I think we have the answer. Is this racist on

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Speaker 4: this first story?

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Speaker 1: Yes it is.

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Speaker 4: The Springfield story continues to dominate the headlines. I even

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Speaker 4: saw a Miami Herald headline that was like, think the

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Speaker 4: Springfield story is hurting Trump? Think again, And it was

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Speaker 4: like an opinion piece in the Miami Herald. But that

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Speaker 4: website has since the last time I went there, gone

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Speaker 4: completely to hell, and like when I tried to open it,

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Speaker 4: like seven pop ups like showed up on my So

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Speaker 4: I have no idea what their thesis is.

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Speaker 1: Wait, but they were trying to say it's not an

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Speaker 1: issue because there's like a half a minute, like there's

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Speaker 1: like a very significant Haitian population in Florida. So he's

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Speaker 1: like this opinion, He's like, it doesn't matter that. I think,

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Speaker 1: like it's good. We're good here.

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Speaker 4: He's doing he's winning voters, he's being savvy.

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Speaker 1: So I don't know.

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Speaker 4: We're gonna talk about the continued fallout from that story.

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Speaker 4: We're going to talk about their continued policy of doubling

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Speaker 4: down on making fun of Kamala Harris for not having

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Speaker 4: given physically given birth to another person. We're gonna talk

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Speaker 4: about Trump's melting brain. We actually have a good a

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Speaker 4: piece of good news today. Fatal drug overdoses have dropped

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Speaker 4: drastically in the last year. So we're going to talk

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Speaker 4: about that, the changing meaning of the word AI, all

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Speaker 4: of that, plenty more. But first, Andrew, we do like

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Speaker 4: to ask our guest, what is something from your search history?

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Speaker 2: Oh, this is like a series of increasingly panicked and

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Speaker 2: specific searches on YouTube. My sister and nephew visited this

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Speaker 2: weekend and I had to learn how to install and

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Speaker 2: then reinstall a car seat for a child in the

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Speaker 2: waiting line of Burbank Airport.

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Speaker 1: Because I put it. I put it in wrong. You

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Speaker 1: guys are Dad's you. I guess you probably know about

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Speaker 1: backwards versus forwards facing. I did as long as you can,

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Speaker 1: as long as you can get them facing backwards. Yeah,

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Speaker 1: so I had in the front seat facing forward.

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Speaker 3: I had it on top.

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Speaker 1: With my like the fucking clip Beverly Hillbillies, like the

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Speaker 1: clampits are coming down.

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Speaker 4: As one of those roof racks. I think that's yeah.

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Speaker 1: Yeah, it was. It was solid.

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Speaker 2: No, it was one of those things where it was

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Speaker 2: like my because it's what the forty pound was. The

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Speaker 2: limit was the limit on the fucking car seat. And

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Speaker 2: I just remembered my sister bragging so much about how

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Speaker 2: like tall my nephew is for his age. So I

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Speaker 2: just genuinely was like that motherfucker's probably fortys right, So

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Speaker 2: I told it, bring it.

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Speaker 1: Yeah, yeah, I was like, yeah, a motorcycle.

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Speaker 4: For motorcycle sidecar and yeah, and it was.

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Speaker 2: Just like unacceptable, which is like, fine, that's on me,

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Speaker 2: but then having to readjust a car seat, like with

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Speaker 2: my blinkers on, with people honking behind me at which

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Speaker 2: at least it wasn't lax. It could have been worse,

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Speaker 2: but it was not great.

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Speaker 1: That's fucking stressful. It was.

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Speaker 2: It was the most stress I an individual, he was created,

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Speaker 2: the least stressful life possible has.

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Speaker 1: Experienced me precisely. Yeah, that's always how it works. It's

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Speaker 1: like next thing, you know, you're clogging up burbank. Yeah,

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Speaker 1: it was the signal to Google this ship right now.

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Speaker 2: And it's like it's also like those like like installation youtubes.

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Speaker 2: I mean, you know, the you can skip around and

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Speaker 2: find it, but the fucking preamble. I was just like, yeah, lady,

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Speaker 2: come on. It's fine, it's fine. Yeah, I know there's

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Speaker 2: a great car seat. Yeah, a lot of great features.

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Speaker 2: Tell me how to fix this.

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Speaker 1: This is That's what the YouTube premium should be.

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Speaker 2: It should just be instructional videos that actually get without preamble.

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Speaker 2: Yeah yeah, yeah, I would pay for that.

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Speaker 4: I remember the first time installing a car seat, like before,

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Speaker 4: we were going to the hospital to have our first

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Speaker 4: and just like they, I think they tell you that

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Speaker 4: you have to like get a fire like somebody works

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Speaker 4: at the fire in the fire or check it for you. Yeah,

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Speaker 4: which makes sense, So I mean, it does make sense.

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Speaker 4: It's also like wow that I'm I must be fucking

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Speaker 4: this up in some way because it seems fairly straightforward

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Speaker 4: to me, Like I think I think this YouTube video

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Speaker 4: kind of explained it.

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Speaker 1: Wow, because when we were having our kid, Herd, she's like,

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Speaker 1: you know, we're supposed to go to the fire station

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Speaker 1: a CHP thing, and I was like, I ain't going,

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Speaker 1: no fucking CHP shit for what And She's like to

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Speaker 1: fucking at least know from that the people who deal

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Speaker 1: with car accidents all the time that the car seat

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Speaker 1: is in there. It's like you're not going there to

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Speaker 1: fucking give them money and high five them. I'm like, yeah, fine,

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Speaker 1: and so we go. The nicest fucking guy comes out.

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Speaker 1: He's like he was like a clearly just like wanted

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Speaker 1: to be a desk CHP guy. He was like wearing

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Speaker 1: he had his shirt on but had like jeans on,

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Speaker 1: and it was just like you guys having a kid.

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Speaker 1: It's like, you know, I'm a grandpa started showing me

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Speaker 1: his like very cute family. He's like, you know what,

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Speaker 1: I'm gonna get you a pool noodle because I think

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Speaker 1: this can be a little bit. I don't like this.

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Speaker 1: Give here. He got a pool noodle like cut it

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Speaker 1: by like custom fit it to our thing. And I

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Speaker 1: was like, this motherfucker just whispering crab under your breath

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Speaker 1: the whole time.

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Speaker 4: Still a cab, motherfucker. He's like what was that.

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Speaker 1: I'm like, thank you so much, sir, Thank you. Child

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Speaker 1: is adorable. Congratulations, thank you so much. We backed the

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Speaker 1: We backed the beigeh where Khaki was a pool noodle.

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Speaker 1: Blue was a blue. No, it was green. It was

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Speaker 1: pay damn yeah. And we gave that car seat to

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Speaker 1: another friend who was having a kid, and I was like, yo,

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Speaker 1: take this this pool noodle also goes the one way,

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Speaker 1: but yeah, they definitely check it out. I was curious.

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Speaker 1: It is so funny to me, it doesn't it makes

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Speaker 1: sense when you guys say it, but like the amount,

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Speaker 1: I know, it's just like the fucking nanny state, I guess. Like,

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Speaker 1: but how much of infant ship falls to firefighters is

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Speaker 1: wild to me. It's hard for me to imagine a

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Speaker 1: firefighter and a baby at the time, just like this. Really, yeah,

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Speaker 1: you're having trouble and envisioning it used Ai and baby.

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Speaker 2: Yeah yeah, everyone everyone hit me on Twitter with this

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Speaker 2: burn burned down a glacier, melted glacier and generated an

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Speaker 2: image of firefighter with band.

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Speaker 5: No.

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Speaker 4: Wait, you can just look at this calendar. I have

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Speaker 4: the same.

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Speaker 1: Under temper to here he comes. Look at those overalls.

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Speaker 4: Yeah, I mean you can just drop your baby off

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Speaker 4: at the fire station.

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Speaker 1: They want to know, why is that a thing?

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Speaker 2: I mean, it's great that it's a thing, like a

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Speaker 2: conservative now, but specifically those guys, I just it's just

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Speaker 2: like I think, because they have time, there's a there's

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Speaker 2: a level of like medical care, like you know, literacy

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Speaker 2: that firefighters have.

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Speaker 1: So it's not you know, they're not they're not the

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Speaker 1: guys with guns who shoot the four people. Yeah, like,

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Speaker 1: and I guess what is what is my vision? A

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Speaker 1: kindly nun like? What I where do? Where do I

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Speaker 1: think you should like?

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Speaker 4: You know, like, oh yeah, no, you don't have to

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Speaker 4: drop them off here. You could always drop them off

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Speaker 4: at the Catholic church. I have no I don't know why.

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Speaker 4: My brain is just like eighties children media pilled. I

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Speaker 4: guess at least preach precinct. That'll be you know, yeah, handle.

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Speaker 1: Baby baby gats. They won't even ask questions, Yeah what uh?

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Speaker 1: What's something you think is underrated?

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Speaker 2: Well now off of this pop pop business. I do

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Speaker 2: think fruits that are so fragile they don't handle industrialized

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Speaker 2: shipping are always the best fruits you've ever had. And

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Speaker 2: it's not underrated. But it's just like impossible to find.

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Speaker 2: I had a fucking wax apple.

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Speaker 4: The other day, honestly, not that on that a in

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Speaker 4: the like the fake fruit that's in like a fake

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Speaker 4: bowl of fruit.

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Speaker 1: Yeh, made of wax. They're called gallery eating the display

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Speaker 1: fruit in a bowl.

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Speaker 2: I think they're called yeah, oh, Java apple is the

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Speaker 2: other name for it, javass apple, bass apple, Java like

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Speaker 2: oh oh, oh, what the fuck is this? She looks

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Speaker 2: like a pepper. Yeah, it was crazy, and honestly, wasn't

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Speaker 2: that good. But the only other time I'd had them

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Speaker 2: was in Taiwan, and I was like, yeah, crazy, yeah.

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Speaker 2: But I also I got a cherimoya the other day

351
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Speaker 2: at Charmoia for anyone, not basically in Los Angeles or

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Speaker 2: Mexico right, parts of maybe further down in Central America,

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Speaker 2: because it's like it's the fragileist fruit I've ever like,

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Speaker 2: it's basically like if a pear.

355
00:19:14,200 --> 00:19:17,880
Speaker 1: Was made out of like puddy yeah, yeah, right.

356
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Speaker 2: And like to the point where I picked it up

357
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Speaker 2: in the market, my fingers went straight up through it.

358
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Speaker 2: And I was still like, I'll buy this one. And

359
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Speaker 2: also and I think I might have gone to the

360
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Speaker 2: kind of the wrong place. It was like twenty six dollars,

361
00:19:31,240 --> 00:19:35,600
Speaker 2: oh shit, but it was I wish it was. It

362
00:19:35,640 --> 00:19:39,720
Speaker 2: was literally like a this place in Chinatown that's a

363
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Speaker 2: Vietnamese sort of bodega type vibe called My Tongue, which has,

364
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Speaker 2: as far as I know, the best bun me in

365
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Speaker 2: La City.

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Speaker 1: Wow shit, which is.

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Speaker 2: Splitting a lot of hairs because there's a lot of

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Speaker 2: I think to most as far as I understand, like

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Speaker 2: people per you know, a lot of really good Vietnamese food,

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Speaker 2: it just sometimes often is not technically within LA City

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Speaker 2: limits right places that people would still call La certainly

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Speaker 2: Orange Counties, certainly San Gaveo Valley, that sort of LA count.

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Speaker 1: Right right, right, right right. Oh, but if you are

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Speaker 1: bound to what we define as LA City municipally, that's

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Speaker 1: where yeah, I believe that is that is the consensus

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Speaker 1: best play. Did you get Wait, you had Vietnamese ice coffee, right, Jack?

377
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Speaker 1: Did you finally get that? Yeah? Yeah, I did, Okay.

378
00:20:28,000 --> 00:20:29,560
Speaker 1: I was just making sure I couldn't handle it.

379
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Speaker 4: Man. It was like I took like I took about

380
00:20:32,920 --> 00:20:35,520
Speaker 4: a quarter down, and I was just like, I feel

381
00:20:36,359 --> 00:20:39,440
Speaker 4: like nervous and like it's bad about.

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Speaker 1: Yeah, it's real drugs.

383
00:20:42,240 --> 00:20:45,760
Speaker 4: It's real drugs. And that that was the sales point

384
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Speaker 4: that they had written on the counter when I got it.

385
00:20:48,840 --> 00:20:51,320
Speaker 1: It's real drugs. Vietnamese ice coffee. Yeah.

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Speaker 4: By the way, I was just trying to make the

387
00:20:54,320 --> 00:20:58,160
Speaker 4: point for people about like La City versus La County.

388
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Speaker 4: La County is four thousand in eighty four square miles.

389
00:21:02,520 --> 00:21:05,919
Speaker 4: Rhode Island is one thousand, and thirty three square miles,

390
00:21:06,000 --> 00:21:10,879
Speaker 4: so La County is four times bigger than Rhode Island.

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Speaker 1: We should have eight senators.

392
00:21:13,080 --> 00:21:17,440
Speaker 4: Yeah, yeah, we should have eight senators.

393
00:21:17,600 --> 00:21:21,399
Speaker 1: We should have eight senators than like, and I should

394
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Speaker 1: be one of them. I mean, with that many, if

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Speaker 1: with proportional representation of one of us on this pod

396
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Speaker 1: has a chance, I mean, what's what's something you think

397
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Speaker 1: is overrated?

398
00:21:33,720 --> 00:21:39,040
Speaker 2: Overrated? Shitting on bad restaurants. It's just like I was

399
00:21:39,080 --> 00:21:42,360
Speaker 2: in this is. I was in San Diego this weekend

400
00:21:42,880 --> 00:21:47,640
Speaker 2: for this is. We we, after literally four years, finally

401
00:21:48,080 --> 00:21:50,680
Speaker 2: buried my grandma at Sea and my racist white uncle.

402
00:21:50,720 --> 00:21:53,040
Speaker 2: It we did a lit a two for burial at

403
00:21:53,080 --> 00:21:57,840
Speaker 2: Sea in San Diego on Saturday. If anyone's checking their

404
00:21:57,880 --> 00:22:02,760
Speaker 2: calendars or just fallowing local Sokel news, they might have

405
00:22:03,000 --> 00:22:05,760
Speaker 2: put together. That was also the day a Trump Armada

406
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Speaker 2: rally was in San Diego Bay.

407
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Speaker 1: Oh god.

408
00:22:09,160 --> 00:22:13,240
Speaker 2: So it was the single most fucked up like four

409
00:22:13,359 --> 00:22:18,159
Speaker 2: hours of family time because also my family kind of like,

410
00:22:18,320 --> 00:22:22,480
Speaker 2: you know, it's that like Taiwanese conservatives, like they were

411
00:22:22,560 --> 00:22:25,800
Speaker 2: often Republican voters, some of them got split off because

412
00:22:25,800 --> 00:22:29,040
Speaker 2: they thought Trump was finally too racist. But they're not

413
00:22:29,040 --> 00:22:33,040
Speaker 2: not Trump people, whereas everyone of the younger generation obviously

414
00:22:33,080 --> 00:22:35,639
Speaker 2: is like, this is fucking insane. But we went to

415
00:22:36,359 --> 00:22:42,679
Speaker 2: an unbelievably racist restaurant. Unbelievably racist. Helly, we went to

416
00:22:42,720 --> 00:22:46,200
Speaker 2: this place called Bali High. I'm gonna say their name

417
00:22:46,240 --> 00:22:50,280
Speaker 2: with my full chest. It's a well known tiki restaurant,

418
00:22:50,320 --> 00:22:58,040
Speaker 2: tiki bar. People really like it. Their statuary outside, I'm

419
00:22:58,040 --> 00:22:59,960
Speaker 2: just gonna for you guys, hold it up to the

420
00:23:00,040 --> 00:23:04,600
Speaker 2: zoom window. It's sort of like if a California raisin

421
00:23:04,880 --> 00:23:09,520
Speaker 2: was an unbelievably racist depiction of a I guess savage.

422
00:23:09,560 --> 00:23:11,679
Speaker 1: I believe it's supposed to be Polynesian, but it's like

423
00:23:11,960 --> 00:23:15,280
Speaker 1: full on bone and nose that kind of business.

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Speaker 2: And it's the statue outside to announce their restaurant welcome

425
00:23:23,400 --> 00:23:28,440
Speaker 2: some of you. Yeah, so that was fucking crazy. Obviously,

426
00:23:28,440 --> 00:23:31,159
Speaker 2: the food was insanely bad, but I have over my

427
00:23:31,240 --> 00:23:34,439
Speaker 2: time in San Diego a place that does have good food.

428
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Speaker 2: But I'll just say my family specifically, I I referred

429
00:23:38,680 --> 00:23:42,480
Speaker 2: to this weekend with my cousins and my sister as

430
00:23:42,960 --> 00:23:46,399
Speaker 2: our family's eternal quest to find the driest protein in

431
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Speaker 2: San Diego. We had chicken kebabs, white meat chicken kebobs

432
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Speaker 2: one day that was.

433
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Speaker 1: Unreal chicken bread then and then had it was it

434
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Speaker 1: was it was sort of like a loof of spongelous.

435
00:24:00,040 --> 00:24:04,199
Speaker 5: Yeah right right right, yeah, there's a little gi Yeah yeah,

436
00:24:04,320 --> 00:24:06,280
Speaker 5: there was like it was a little give but like

437
00:24:06,440 --> 00:24:10,600
Speaker 5: just strands of moisture sucking like whatever.

438
00:24:10,720 --> 00:24:13,920
Speaker 1: Holy shit. Yeah. But I think that over my.

439
00:24:14,000 --> 00:24:17,520
Speaker 2: Years going to San Diego, where my dad's family mostly is,

440
00:24:17,760 --> 00:24:22,280
Speaker 2: I have learned that when you especially when you're in again,

441
00:24:22,320 --> 00:24:24,119
Speaker 2: there is good food in San Diego. I understand that,

442
00:24:24,240 --> 00:24:27,679
Speaker 2: but we are going to places that Republicans go to

443
00:24:28,400 --> 00:24:31,640
Speaker 2: and you kind of just got a roll with it.

444
00:24:31,720 --> 00:24:34,639
Speaker 2: Like we went to sushi one time in a fucking

445
00:24:34,760 --> 00:24:38,199
Speaker 2: strip mall white pierced and sushi place, and I like

446
00:24:38,240 --> 00:24:40,199
Speaker 2: this is when I first moved to southern California and

447
00:24:40,240 --> 00:24:43,520
Speaker 2: I was like I a gormand was like, you know,

448
00:24:44,040 --> 00:24:46,359
Speaker 2: oh is the is the ouoni fresh today?

449
00:24:46,520 --> 00:24:49,119
Speaker 1: Like what? And blah blah blah, And like the.

450
00:24:48,960 --> 00:24:52,000
Speaker 2: Thing that you want to get is you know a

451
00:24:52,119 --> 00:24:56,120
Speaker 2: role that has ideally one to three deep fried ingredients

452
00:24:56,119 --> 00:24:58,280
Speaker 2: and like fifteen sauces on it, just like do the

453
00:24:58,320 --> 00:25:01,920
Speaker 2: thing that they do that's the only way to have thing.

454
00:25:02,320 --> 00:25:06,200
Speaker 2: So we were at again unbelievably racist restaurant Bali High,

455
00:25:06,640 --> 00:25:11,720
Speaker 2: and I just was like, yeah, I'm getting fucking coconut

456
00:25:11,800 --> 00:25:16,320
Speaker 2: shrimp and like a fucking like burger, even though it's

457
00:25:16,359 --> 00:25:18,640
Speaker 2: like played as like this, you know, they had like.

458
00:25:18,600 --> 00:25:20,480
Speaker 1: Poke and ship and I was just like, don't no,

459
00:25:21,119 --> 00:25:24,880
Speaker 1: don't forget that it was that has pineapple on it,

460
00:25:24,960 --> 00:25:27,879
Speaker 1: and just for no pineapple on it. Yeah, exactly, like,

461
00:25:28,000 --> 00:25:31,800
Speaker 1: just do do the thing that the worst people want.

462
00:25:32,160 --> 00:25:34,399
Speaker 1: And I was correct, and everyone else in my family

463
00:25:34,440 --> 00:25:36,360
Speaker 1: was wrong as usual, like.

464
00:25:38,000 --> 00:25:41,879
Speaker 4: And it was good, the the pineapple, it was the

465
00:25:43,320 --> 00:25:44,720
Speaker 4: with grilled shrimp on top of it.

466
00:25:44,800 --> 00:25:45,760
Speaker 1: Yeah, it was.

467
00:25:46,440 --> 00:25:49,200
Speaker 2: It was bad, but it was by far the best

468
00:25:49,200 --> 00:25:52,520
Speaker 2: thing that we got. Yeah, by a million moss. I

469
00:25:52,560 --> 00:25:55,080
Speaker 2: guess that I had a long drive ahead of me,

470
00:25:55,119 --> 00:25:57,680
Speaker 2: so I didn't adult in the tiki drinks. It did

471
00:25:57,720 --> 00:26:00,840
Speaker 2: look like the tiki drinks were incredible. I will say, yeah,

472
00:26:00,880 --> 00:26:01,480
Speaker 2: that's probably what.

473
00:26:01,760 --> 00:26:05,199
Speaker 1: Really. The one thing they do good is the alcohol. Yeah,

474
00:26:05,200 --> 00:26:09,600
Speaker 1: so you can scream at your whoever you're with the alcohol.

475
00:26:10,040 --> 00:26:19,200
Speaker 4: Yeah, exactly, you guys putting this thing, that's what we're

476
00:26:19,200 --> 00:26:21,840
Speaker 4: all going to be saying the day after the election, no, man,

477
00:26:22,000 --> 00:26:26,000
Speaker 4: would you guys put in that thing? We elected Trump again?

478
00:26:26,240 --> 00:26:30,760
Speaker 2: Oh yeah yeah, well I know a whole a whole

479
00:26:30,920 --> 00:26:33,439
Speaker 2: marina of people that areould be fucking stoked about that.

480
00:26:33,600 --> 00:26:35,480
Speaker 1: So yeah, it was very unnerving.

481
00:26:35,760 --> 00:26:37,359
Speaker 4: It was a Trump armod, so it was like a

482
00:26:37,359 --> 00:26:38,919
Speaker 4: bunch of Trump supporters on boats.

483
00:26:39,680 --> 00:26:42,600
Speaker 2: Like I kind of gave up counting, but at one

484
00:26:42,600 --> 00:26:45,640
Speaker 2: point we were completely.

485
00:26:44,960 --> 00:26:49,040
Speaker 1: Surrounded by Trump boats. So wait, as you're this was

486
00:26:49,160 --> 00:26:50,280
Speaker 1: who's whose ashes?

487
00:26:50,280 --> 00:26:53,960
Speaker 2: Were you interning both my grandma and you're a racist

488
00:26:54,000 --> 00:26:57,840
Speaker 2: white uncle? Yeah, because we just got it my grandma whatever,

489
00:26:57,840 --> 00:26:59,520
Speaker 2: you need, the whole thing. But it was like between

490
00:26:59,560 --> 00:27:02,040
Speaker 2: COVID and Dodge, just waiting and just for forever to

491
00:27:02,080 --> 00:27:02,720
Speaker 2: get the family.

492
00:27:02,840 --> 00:27:03,560
Speaker 1: Yeah, no, I get that.

493
00:27:04,080 --> 00:27:08,119
Speaker 2: Yeah, so we but so yeah, I would estimate I

494
00:27:08,160 --> 00:27:10,159
Speaker 2: don't know, what's a three sixty.

495
00:27:09,920 --> 00:27:15,399
Speaker 1: View of boats, like oh yeah, dude, I watch this video.

496
00:27:15,760 --> 00:27:20,000
Speaker 1: Is it looks like fucking d day or so yeah, yeah,

497
00:27:20,080 --> 00:27:23,080
Speaker 1: yeah it was. I mean I don't know, I probably

498
00:27:23,080 --> 00:27:26,560
Speaker 1: saw twenty I would say with like easily, there's like, yeah,

499
00:27:26,560 --> 00:27:28,600
Speaker 1: at least twenty votes even in this yeh, dumb Kirk.

500
00:27:29,680 --> 00:27:34,760
Speaker 1: Oh okay, we got a winner.

501
00:27:35,000 --> 00:27:38,480
Speaker 4: We got a lot of folks that was okay, well,

502
00:27:38,520 --> 00:27:41,959
Speaker 4: I'm sorry for your loss with your grandma. The congratulations

503
00:27:41,960 --> 00:27:45,520
Speaker 4: on the burger, Yeah, thank you, thank you. You chose wisely.

504
00:27:46,000 --> 00:27:48,919
Speaker 4: All right, let's take a quick break and we'll be

505
00:27:49,040 --> 00:28:06,600
Speaker 4: right back. And we're back, And Springfield continues to stay

506
00:28:06,880 --> 00:28:11,240
Speaker 4: in the media in the headlines. You know, obviously started

507
00:28:11,280 --> 00:28:17,440
Speaker 4: with JD Vance surfacing a bullshit Facebook post, and then

508
00:28:17,880 --> 00:28:20,840
Speaker 4: continued when and escalated when Trump brought it up in

509
00:28:20,920 --> 00:28:26,200
Speaker 4: the debate, and now has continued for a week because

510
00:28:26,640 --> 00:28:31,840
Speaker 4: those two things led to bomb threats and just horridizing

511
00:28:32,440 --> 00:28:37,920
Speaker 4: vandalism being on the innocent people of Springfield.

512
00:28:38,320 --> 00:28:43,560
Speaker 1: So I'm sure the campaign Trump Van's campaign loves this

513
00:28:43,920 --> 00:28:46,240
Speaker 1: because they would love nothing more than to have the

514
00:28:46,320 --> 00:28:51,760
Speaker 1: spotlight back on them because after Brat Summer and now

515
00:28:52,080 --> 00:28:54,360
Speaker 1: it's like something that doesn't have to do with Project

516
00:28:54,440 --> 00:28:57,880
Speaker 1: twenty twenty five or JD Vance, like banging a bark lounger.

517
00:28:57,960 --> 00:29:00,680
Speaker 1: So they're like, yeah, you're like this, this is where

518
00:29:00,680 --> 00:29:03,880
Speaker 1: we'd like to fucking get messy and shit. So you know,

519
00:29:03,920 --> 00:29:06,240
Speaker 1: the story's made up, we know it's all bullshit, but

520
00:29:06,360 --> 00:29:09,240
Speaker 1: we have even more evidence that the campaign gives absolutely

521
00:29:09,360 --> 00:29:11,320
Speaker 1: zero fucks about the truth as long as they can

522
00:29:11,360 --> 00:29:15,800
Speaker 1: perpetuate the immigrants are the reason you have nothing narrative

523
00:29:15,960 --> 00:29:19,800
Speaker 1: rather than you know, the look around and educate ourselves.

524
00:29:20,040 --> 00:29:23,160
Speaker 1: So JD. Vance again, like you said, first posted about

525
00:29:23,200 --> 00:29:26,640
Speaker 1: this pet eating nonsense before the debate, then when people

526
00:29:26,720 --> 00:29:29,680
Speaker 1: called him out. It seems like a staffer called Springfield

527
00:29:29,760 --> 00:29:32,920
Speaker 1: City manager this guy, Brian Heck the day before the

528
00:29:32,960 --> 00:29:35,920
Speaker 1: debate to find out if there's any truth to this.

529
00:29:35,920 --> 00:29:38,080
Speaker 1: This is in I think the New Republic, or this

530
00:29:38,200 --> 00:29:40,440
Speaker 1: might also I think it's the New Republic that's probably

531
00:29:40,640 --> 00:29:42,800
Speaker 1: quoting the Wall Street Journal, but says Heck told the

532
00:29:42,800 --> 00:29:46,680
Speaker 1: staffer that there was quote no verifiable evidence or reports

533
00:29:46,680 --> 00:29:50,520
Speaker 1: and that the quote claims were baseless. In an attempt

534
00:29:50,520 --> 00:29:53,760
Speaker 1: to back up the rumor, Vance's campaign provided a police

535
00:29:53,800 --> 00:29:57,760
Speaker 1: report to the Journal in which a Springfield resident, Anna Kilgore,

536
00:29:58,000 --> 00:30:01,160
Speaker 1: said that her cat was possibly taken her Haitian neighbors.

537
00:30:01,360 --> 00:30:03,680
Speaker 1: When a reporter went to the woman's home last week,

538
00:30:03,960 --> 00:30:06,240
Speaker 1: she said her cat came home only two days after

539
00:30:06,280 --> 00:30:08,800
Speaker 1: she reported it missing, and it was found safe in

540
00:30:08,840 --> 00:30:11,640
Speaker 1: her basement. And it got to the point where she

541
00:30:11,680 --> 00:30:14,400
Speaker 1: said she actually apologized to her neighbor, she said, with

542
00:30:14,480 --> 00:30:17,200
Speaker 1: the help of a translation app and her younger daughter,

543
00:30:17,480 --> 00:30:20,480
Speaker 1: and she was like, I fucked that up. So we

544
00:30:20,560 --> 00:30:23,120
Speaker 1: have the person who's like, I'm not racist with my

545
00:30:23,240 --> 00:30:26,200
Speaker 1: racist Facebook post walked it back. The woman who said

546
00:30:26,360 --> 00:30:28,880
Speaker 1: maybe someone took my cat is like it was in

547
00:30:28,960 --> 00:30:32,640
Speaker 1: my basement. And now the town has been turned completely

548
00:30:32,720 --> 00:30:36,120
Speaker 1: upside down, and you know, residents are growing an increased

549
00:30:36,120 --> 00:30:39,440
Speaker 1: fear of just the right wing outrage mobs and just

550
00:30:39,480 --> 00:30:42,960
Speaker 1: like the amount of fucking conservative stooges that are like

551
00:30:43,080 --> 00:30:45,720
Speaker 1: there now on the ground to try and find shit

552
00:30:45,800 --> 00:30:49,000
Speaker 1: and drum up any kind of fucking evidence that would

553
00:30:49,040 --> 00:30:52,080
Speaker 1: help sort of back this just senophobic claim. But yeah,

554
00:30:52,080 --> 00:30:54,320
Speaker 1: the thing is like these Haitian like people that have

555
00:30:54,400 --> 00:30:58,480
Speaker 1: relocated to Springfield, they're actually helping to revive the city

556
00:30:58,520 --> 00:31:00,800
Speaker 1: of Springfield. Like, you know, the Springfield was one of

557
00:31:00,800 --> 00:31:03,480
Speaker 1: those towns that it was a huge manufacturing hub, and

558
00:31:03,920 --> 00:31:07,239
Speaker 1: there was some stat like some inordinate amount of like

559
00:31:07,440 --> 00:31:10,680
Speaker 1: farming equipment was like manufactured in Springfield like in the

560
00:31:10,840 --> 00:31:13,120
Speaker 1: in like the sixties, and then it obviously began to

561
00:31:13,160 --> 00:31:15,360
Speaker 1: go less and less and less. But now with this

562
00:31:15,480 --> 00:31:19,200
Speaker 1: like influx of like available labor like companies are coming

563
00:31:19,240 --> 00:31:21,360
Speaker 1: back and like people are like, oh shit, like there's

564
00:31:21,400 --> 00:31:23,280
Speaker 1: actually like we have the ability to kind of get

565
00:31:23,320 --> 00:31:27,240
Speaker 1: jobs now. And that's and most people there are saying, yeah,

566
00:31:27,280 --> 00:31:29,400
Speaker 1: this is actually a good thing. The mayor of Springfield

567
00:31:29,440 --> 00:31:31,480
Speaker 1: is like, I'd rather not Trump visit. He's like, I'm

568
00:31:31,480 --> 00:31:34,000
Speaker 1: gonna go to Springfield to be there to speak to

569
00:31:34,040 --> 00:31:37,760
Speaker 1: the people. And even the Republican mayor is like, yeah, no, no, now,

570
00:31:37,760 --> 00:31:39,720
Speaker 1: we're good. We're good, We're good. It's just gonna eat

571
00:31:39,760 --> 00:31:42,680
Speaker 1: up resources. We already are stretched thin and you don't

572
00:31:42,720 --> 00:31:45,239
Speaker 1: pay for anything, so fucking please don't even fucking think

573
00:31:45,280 --> 00:31:47,440
Speaker 1: about coming in because of all the bomb threats that

574
00:31:47,480 --> 00:31:49,600
Speaker 1: you caused. Yeah. I don't even know.

575
00:31:49,640 --> 00:31:52,360
Speaker 2: If this is a maybe this was just the headline,

576
00:31:52,360 --> 00:31:55,440
Speaker 2: but I saw it was like Republican mayor won't commit

577
00:31:55,760 --> 00:31:59,040
Speaker 2: Springfield's Republican mayor won't commit to supporting Trump, And it's like,

578
00:31:59,400 --> 00:32:03,320
Speaker 2: where's the fuck take with these people like is evil

579
00:32:03,480 --> 00:32:06,080
Speaker 2: and actively try to destroy your town, And you're still like,

580
00:32:06,720 --> 00:32:11,520
Speaker 2: I can't fully compided.

581
00:32:11,280 --> 00:32:13,920
Speaker 1: Where he's like, because the mayor too is like defending

582
00:32:14,000 --> 00:32:15,760
Speaker 1: his own town. And if he's like he's like this

583
00:32:15,800 --> 00:32:18,360
Speaker 1: is a really terrible way to talk about immigration that's

584
00:32:18,400 --> 00:32:20,800
Speaker 1: really helped our town. And it's like, Okay, so you're

585
00:32:20,840 --> 00:32:23,240
Speaker 1: on the side. You're not on his side, right, he

586
00:32:23,360 --> 00:32:27,480
Speaker 1: sounds like you are diametrically opposed on this on this issue. Okay,

587
00:32:27,520 --> 00:32:28,920
Speaker 1: now what do you think about him? You know, I

588
00:32:29,000 --> 00:32:33,040
Speaker 1: can't believe you know, you know who can say you

589
00:32:33,040 --> 00:32:35,280
Speaker 1: know what? I actually do think they're all coming from Haitia.

590
00:32:36,120 --> 00:32:39,960
Speaker 1: So that's that's the problem, literally said yesterday.

591
00:32:40,280 --> 00:32:44,720
Speaker 2: I I will just say, also, though, the thing that

592
00:32:45,000 --> 00:32:48,800
Speaker 2: I don't know what fucking like internal polling or like

593
00:32:48,960 --> 00:32:54,560
Speaker 2: triangulation the fucking like Harris campaign is doing. But the

594
00:32:54,600 --> 00:32:56,800
Speaker 2: fact that they haven't just been out every day like

595
00:32:56,880 --> 00:33:02,280
Speaker 2: this is racist. Fuck these people is unbelievably troubling. Yeah,

596
00:33:02,360 --> 00:33:04,920
Speaker 2: Like what is holding them up?

597
00:33:05,960 --> 00:33:06,320
Speaker 1: I think?

598
00:33:06,360 --> 00:33:10,240
Speaker 4: Yeah, and making the arguments about immigration that like this

599
00:33:10,400 --> 00:33:13,400
Speaker 4: being one of the signs of like the power of

600
00:33:13,440 --> 00:33:16,480
Speaker 4: immigration and immigration is not a scary thing, it's a

601
00:33:16,520 --> 00:33:19,800
Speaker 4: great thing. And like, you know, I mean, Mike DeWine,

602
00:33:20,040 --> 00:33:25,560
Speaker 4: like who is a Republican, very popular Republican governor of Ohio,

603
00:33:26,000 --> 00:33:28,840
Speaker 4: like came out and was saying that like these Haitians

604
00:33:28,880 --> 00:33:31,400
Speaker 4: came in to work for these companies. What the companies

605
00:33:31,440 --> 00:33:34,480
Speaker 4: tell us is that they are very good workers. They're

606
00:33:34,600 --> 00:33:37,320
Speaker 4: very happy to have them there, and frankly that's helped

607
00:33:37,360 --> 00:33:41,440
Speaker 4: the economy. Like it feels like there's this is a

608
00:33:41,520 --> 00:33:45,160
Speaker 4: layup and just sitting back and being like, h talk

609
00:33:45,200 --> 00:33:48,280
Speaker 4: about weird like that seems to be the extent to

610
00:33:48,280 --> 00:33:51,440
Speaker 4: which they've engaged with it. Well, yeah, and I think

611
00:33:51,640 --> 00:33:54,120
Speaker 4: on immigration too, I don't think she really wants to

612
00:33:54,440 --> 00:33:57,600
Speaker 4: again because like her position on immigration is the same

613
00:33:57,640 --> 00:34:00,160
Speaker 4: thing as like what the Biden administration with pushing for,

614
00:34:00,360 --> 00:34:05,080
Speaker 4: like that very very conservative immigration bill to again, so

615
00:34:05,160 --> 00:34:08,600
Speaker 4: they had some kind of defense against attacks on their

616
00:34:08,640 --> 00:34:11,200
Speaker 4: stance on immigration come the election. But like most people

617
00:34:11,239 --> 00:34:13,600
Speaker 4: like this is actually like this isn't good at all,

618
00:34:13,680 --> 00:34:16,200
Speaker 4: Like this isn't for this isn't progressive in any way.

619
00:34:16,400 --> 00:34:19,200
Speaker 1: This is regressive. And so I mean, I know when

620
00:34:19,200 --> 00:34:22,440
Speaker 1: she did she met with the you know, National Association

621
00:34:22,480 --> 00:34:24,520
Speaker 1: of Black Journalists, and then there was like I think

622
00:34:24,560 --> 00:34:26,239
Speaker 1: it's a I think you said it's like crying shame

623
00:34:26,400 --> 00:34:28,279
Speaker 1: like what he said, but that's you know, a very

624
00:34:28,320 --> 00:34:30,920
Speaker 1: boilerplate kind of like yeah, I'm against it. But at

625
00:34:30,960 --> 00:34:34,520
Speaker 1: the same time, I think because like you know, with immigrations,

626
00:34:34,560 --> 00:34:37,719
Speaker 1: like what happened to our pathways to citizenship? Like what's

627
00:34:37,760 --> 00:34:39,920
Speaker 1: going on there? It's just a lot of like, I

628
00:34:40,000 --> 00:34:43,160
Speaker 1: don't they just don't want to talk too much about

629
00:34:43,160 --> 00:34:46,000
Speaker 1: these issues to try and prevent, you know, from I

630
00:34:46,040 --> 00:34:48,440
Speaker 1: guess their their point of view, like you know, losing

631
00:34:48,880 --> 00:34:52,800
Speaker 1: independent supporters or whatever. When yeah, we always know tacking

632
00:34:52,880 --> 00:34:55,080
Speaker 1: to the middle or to the right is not the solution.

633
00:34:55,480 --> 00:34:59,600
Speaker 2: The dumbest right wing dickheads on earth is who they

634
00:34:59,640 --> 00:35:01,680
Speaker 2: want vote from right right?

635
00:35:02,560 --> 00:35:05,640
Speaker 1: But how do we reach them? Andrew, how do we

636
00:35:05,719 --> 00:35:08,240
Speaker 1: get to them? It's so yeah, I mean.

637
00:35:08,200 --> 00:35:12,040
Speaker 4: It's the thing we know is that her campaign is

638
00:35:12,040 --> 00:35:14,239
Speaker 4: being run by the same people who were running the

639
00:35:14,239 --> 00:35:18,960
Speaker 4: Biden campaign. And the way that the Biden campaign operated

640
00:35:19,200 --> 00:35:24,520
Speaker 4: was this like very defensive strategy of being like, no,

641
00:35:24,680 --> 00:35:28,560
Speaker 4: he's not old. Actually you're old for saying that, And

642
00:35:29,040 --> 00:35:31,759
Speaker 4: he's the best candidate that we could be running. And

643
00:35:32,400 --> 00:35:36,319
Speaker 4: so they're going to be like careful and defensive, and

644
00:35:36,640 --> 00:35:40,160
Speaker 4: it's I don't know, like there's probably because her pulling

645
00:35:40,280 --> 00:35:45,200
Speaker 4: is ticking slightly upward, it's probably not a time when

646
00:35:45,200 --> 00:35:46,640
Speaker 4: she's going to be like, yeah, I need to like

647
00:35:46,680 --> 00:35:49,560
Speaker 4: clean house this fucking team sucks.

648
00:35:49,480 --> 00:35:52,800
Speaker 1: Right, or come out with you like some sweeping position

649
00:35:52,840 --> 00:35:57,200
Speaker 1: on immigration, which just fucking sucks because you're like, like,

650
00:35:57,200 --> 00:35:58,840
Speaker 1: what are you what are you giving us? And I

651
00:35:58,840 --> 00:36:02,160
Speaker 1: think again, they're like the fucking noodle, the noodle is

652
00:36:02,360 --> 00:36:04,720
Speaker 1: the noodle, the needle is moving in the right direction.

653
00:36:05,320 --> 00:36:08,040
Speaker 1: Just shut the fuck up, right, Just fucking keep shutting

654
00:36:08,080 --> 00:36:10,600
Speaker 1: the fuck up. And you know, I don't I don't

655
00:36:10,640 --> 00:36:13,279
Speaker 1: know how sustainable that is as a strategy, but for

656
00:36:13,320 --> 00:36:14,720
Speaker 1: the time being, it seems to be working.

657
00:36:15,480 --> 00:36:19,200
Speaker 2: But it's also like, why are you fucking running for

658
00:36:19,400 --> 00:36:23,120
Speaker 2: president if you can't do the easiest, lay up right thing, like,

659
00:36:23,320 --> 00:36:25,359
Speaker 2: which I know is the most naive thing I could

660
00:36:25,360 --> 00:36:26,759
Speaker 2: possibly But.

661
00:36:26,560 --> 00:36:29,799
Speaker 1: Seriously, what the fuck are you doing? Right? Yeah, Like,

662
00:36:29,880 --> 00:36:34,840
Speaker 1: why are you doing this? Then? Right? I'm just trying

663
00:36:34,880 --> 00:36:39,640
Speaker 1: to see there isn't even really anything under the Harris

664
00:36:39,719 --> 00:36:42,520
Speaker 1: Wall's campaign website under issues. I don't even see anything

665
00:36:42,640 --> 00:36:47,239
Speaker 1: for immigration. Yeah, dude, I'm like, what's what? What is

666
00:36:47,280 --> 00:36:50,320
Speaker 1: there for all these people who are also voters who

667
00:36:50,440 --> 00:36:53,200
Speaker 1: have like immigration is a huge thing that intersects with

668
00:36:53,239 --> 00:36:56,560
Speaker 1: their families and their livelihoods, and they're just like, you know,

669
00:36:56,640 --> 00:36:57,520
Speaker 1: check check back later.

670
00:36:58,120 --> 00:37:01,880
Speaker 2: Also they have reality on their side. It's it's just

671
00:37:01,920 --> 00:37:04,080
Speaker 2: like this is good, this was good for Springfield.

672
00:37:04,120 --> 00:37:07,880
Speaker 1: Oh here, secure our borders and fix our broken immigration system.

673
00:37:08,320 --> 00:37:13,160
Speaker 1: Oh yeah, secure our borders is just like just hair raising.

674
00:37:13,239 --> 00:37:16,160
Speaker 2: And I think that's where you're like, yeah, well, christ

675
00:37:16,280 --> 00:37:20,400
Speaker 2: I know that no Democrat has ever wanted my vote.

676
00:37:20,719 --> 00:37:24,160
Speaker 2: But it is really weird how little they wanted this

677
00:37:24,280 --> 00:37:30,160
Speaker 2: time and last time, I guess, and that and the but.

678
00:37:30,040 --> 00:37:33,080
Speaker 4: It's like the other side so bad on it that,

679
00:37:33,760 --> 00:37:36,960
Speaker 4: like their calculations, the other side is so bad on

680
00:37:37,000 --> 00:37:38,839
Speaker 4: it that like your hand is kind of forced. So

681
00:37:38,960 --> 00:37:42,840
Speaker 4: what do we have to say about immigration when like

682
00:37:43,000 --> 00:37:45,000
Speaker 4: just look at what these assholes just said.

683
00:37:45,040 --> 00:37:47,560
Speaker 1: Because even like when they're calculus and how they and

684
00:37:47,600 --> 00:37:51,440
Speaker 1: the campaign even talks about immigration, it's like, you know,

685
00:37:51,480 --> 00:37:54,080
Speaker 1: it's like, oh, you know, as Attorney General Harris went

686
00:37:54,120 --> 00:37:58,200
Speaker 1: after international drug gangs, human traffickers, gun smug it's like,

687
00:37:58,520 --> 00:38:01,880
Speaker 1: what about fucking human beings? Like what like where where's

688
00:38:01,920 --> 00:38:04,640
Speaker 1: that dimension about talking about immigration that is a little

689
00:38:04,640 --> 00:38:07,480
Speaker 1: more human centric. But again, this is just sort of

690
00:38:07,560 --> 00:38:10,600
Speaker 1: like the accepted rhetoric right now for both parties. So

691
00:38:10,640 --> 00:38:12,600
Speaker 1: they're just they're fine with being like we gotta fix

692
00:38:12,640 --> 00:38:15,160
Speaker 1: we gotta You're right, we do have to secure our border.

693
00:38:15,760 --> 00:38:18,960
Speaker 1: Yeah god, oh, here's one. At the same time, at

694
00:38:18,960 --> 00:38:20,719
Speaker 1: the same time, she knows that our immigration system is

695
00:38:20,719 --> 00:38:23,399
Speaker 1: broken and needs comprehensive for reform that includes stronger border

696
00:38:23,440 --> 00:38:29,480
Speaker 1: security and an earned pathway to citizenship. Okay, take take that.

697
00:38:30,040 --> 00:38:34,759
Speaker 1: I sit corrected and earn this fucking backdraft. We back

698
00:38:34,800 --> 00:38:39,160
Speaker 1: on the firefighter ship. Oh wait, no, that's saving private.

699
00:38:39,280 --> 00:38:42,839
Speaker 4: Private yea, yeah, come on, man, do you know you're yeah?

700
00:38:45,360 --> 00:38:47,560
Speaker 1: No, no, fucking hey, how old are you? Man? Are

701
00:38:47,560 --> 00:38:53,279
Speaker 1: you you were forty? I thought you said you were forty? Man. Fu,

702
00:38:54,120 --> 00:38:56,560
Speaker 1: I'm quoting it. I'm mistaking it in an older movie.

703
00:38:56,719 --> 00:39:01,799
Speaker 1: I'm like, that's backdraft, right, the even older irreletan. All right,

704
00:39:01,920 --> 00:39:05,800
Speaker 1: let's let's do some good news. Yeah, oh oh fine,

705
00:39:06,400 --> 00:39:07,240
Speaker 1: oh fine.

706
00:39:07,760 --> 00:39:10,880
Speaker 4: Fatal drug overdoses have dropped across the US for the

707
00:39:10,920 --> 00:39:14,120
Speaker 4: first time in decades. In the spring, it was reported

708
00:39:14,160 --> 00:39:17,480
Speaker 4: that overdose deaths were down by nearly four percent, which

709
00:39:17,960 --> 00:39:22,440
Speaker 4: is super newsworthy in and of itself, But now national

710
00:39:22,440 --> 00:39:25,120
Speaker 4: surveys are showing a decline in drug deaths of roughly

711
00:39:25,200 --> 00:39:29,200
Speaker 4: ten point six percent, which every year Prior to this,

712
00:39:29,400 --> 00:39:32,560
Speaker 4: it's been going up a year every year, like by

713
00:39:32,680 --> 00:39:39,160
Speaker 4: double digits. So that's pretty remarkable, Like it's a reversal

714
00:39:39,440 --> 00:39:43,560
Speaker 4: of a very troubling trend. The data coming from the

715
00:39:43,680 --> 00:39:46,520
Speaker 4: state level is even better, with some states reporting declines

716
00:39:46,520 --> 00:39:49,759
Speaker 4: of twenty and thirty percent. People don't have like an

717
00:39:49,840 --> 00:39:53,520
Speaker 4: exact explanation for why this is happening, but one possible

718
00:39:53,640 --> 00:39:58,880
Speaker 4: explanation is the availability of or naloxone, which is the

719
00:39:58,960 --> 00:40:04,120
Speaker 4: drug that can reverse opioid overdoses, and people have really

720
00:40:04,200 --> 00:40:06,359
Speaker 4: hit the streets trying to get that out there in

721
00:40:06,440 --> 00:40:10,640
Speaker 4: people's hands, distributed around so that people can people can

722
00:40:11,000 --> 00:40:11,919
Speaker 4: take care of each other.

723
00:40:12,120 --> 00:40:15,560
Speaker 1: If for a moment I thought maybe I thought maybe

724
00:40:15,640 --> 00:40:18,360
Speaker 1: the despair deaths that we seem to see in this

725
00:40:18,440 --> 00:40:20,640
Speaker 1: country was going down, it's more like, no, we just

726
00:40:20,640 --> 00:40:23,239
Speaker 1: found no way, Like it's it's it can, that's work.

727
00:40:23,480 --> 00:40:26,719
Speaker 1: Just despair is still here big time. Yeah, that's I mean,

728
00:40:26,760 --> 00:40:29,480
Speaker 1: that's great, it's wildly even. Just think it's like just

729
00:40:29,560 --> 00:40:33,359
Speaker 1: the just having narcan more available to people is like

730
00:40:33,400 --> 00:40:36,840
Speaker 1: having these kind like offsetting these like tragic overdoses. Yeah,

731
00:40:36,920 --> 00:40:39,320
Speaker 1: if I could put in a small personal ish plug

732
00:40:39,560 --> 00:40:43,200
Speaker 1: solidarity and snacks the uh the Mutual Aid group I

733
00:40:43,239 --> 00:40:47,080
Speaker 1: do stuff with and skid row on Saturdays at noon.

734
00:40:47,760 --> 00:40:50,040
Speaker 1: We uh yeah we we We've That's one of the

735
00:40:50,040 --> 00:40:52,479
Speaker 1: things that I've had to really quickly learn, like how

736
00:40:52,520 --> 00:40:57,359
Speaker 1: to tell a random person like basically what narcan does. Yeah,

737
00:40:57,719 --> 00:41:01,120
Speaker 1: like oh right, so yeah, just yeah, I mean education

738
00:41:01,280 --> 00:41:04,120
Speaker 1: is yeah, it's really it's not super hard to use,

739
00:41:04,160 --> 00:41:05,040
Speaker 1: but it is, like.

740
00:41:05,520 --> 00:41:08,799
Speaker 2: You know, and it's also like sometimes you're just communicating.

741
00:41:08,840 --> 00:41:12,080
Speaker 2: This is not a inhaler. This is different, right right,

742
00:41:12,680 --> 00:41:14,520
Speaker 2: It's just like, yikes.

743
00:41:14,440 --> 00:41:15,879
Speaker 4: Is it the nose? Is it the one that goes

744
00:41:15,920 --> 00:41:16,359
Speaker 4: up the nose?

745
00:41:16,440 --> 00:41:19,319
Speaker 1: Yeah? Is there?

746
00:41:19,480 --> 00:41:23,440
Speaker 2: Like I not to be cynical, but I kind of

747
00:41:23,760 --> 00:41:29,280
Speaker 2: was curious whether there's any data on just the fentanyl news,

748
00:41:29,520 --> 00:41:32,880
Speaker 2: like like the fentanyl marketing essentially really like took a

749
00:41:33,040 --> 00:41:36,520
Speaker 2: dent out of coke, Like anyone who was on the

750
00:41:36,560 --> 00:41:39,080
Speaker 2: fence about doing coke didn't do coke.

751
00:41:38,920 --> 00:41:42,320
Speaker 1: In the last five years like that, Yeah for sure ventanyl?

752
00:41:42,680 --> 00:41:45,279
Speaker 1: Yeah what do you mean like and what's what what

753
00:41:45,320 --> 00:41:45,919
Speaker 1: do you mean the market?

754
00:41:46,040 --> 00:41:47,759
Speaker 2: I'm just saying, like I I just feel like the

755
00:41:47,880 --> 00:41:52,000
Speaker 2: bad pr for fentanyl, I feel like really.

756
00:41:51,880 --> 00:41:55,000
Speaker 4: Putting people dying immediately from doing.

757
00:41:55,200 --> 00:41:59,000
Speaker 2: Casual users, well probably, I would ask. I would just

758
00:41:59,080 --> 00:42:01,920
Speaker 2: imagine are the most likely to overdose because they don't

759
00:42:01,920 --> 00:42:03,759
Speaker 2: know what the fuck they're doing? Not sure by the

760
00:42:03,760 --> 00:42:05,719
Speaker 2: way I'm saying, that's like I know what I'm doing.

761
00:42:05,760 --> 00:42:08,040
Speaker 2: I also don't know what you're doing. You're not THEO

762
00:42:08,200 --> 00:42:14,400
Speaker 2: vonn right now? Yeah yeah, yeah yeah yeah, al be

763
00:42:14,440 --> 00:42:16,440
Speaker 2: your own street light and that's good.

764
00:42:16,719 --> 00:42:18,319
Speaker 1: But you know what I mean, I'm just like, I

765
00:42:18,320 --> 00:42:18,640
Speaker 1: don't know.

766
00:42:18,760 --> 00:42:22,040
Speaker 2: This just feels like it coincides with all the news

767
00:42:22,040 --> 00:42:24,160
Speaker 2: headlines being if you do cocaine, you will oh like

768
00:42:24,280 --> 00:42:24,960
Speaker 2: generally too.

769
00:42:25,080 --> 00:42:28,040
Speaker 1: There are people right that like the fentanyl because then

770
00:42:28,080 --> 00:42:30,440
Speaker 1: there's also just like the cops or like I looked

771
00:42:30,440 --> 00:42:33,399
Speaker 1: at fentanyl and and then I was brought back by

772
00:42:33,480 --> 00:42:36,680
Speaker 1: christ or Trump you pick. Yeah, like that I'm sure

773
00:42:36,800 --> 00:42:40,120
Speaker 1: does definitely like yeah, if people are pumping the brakes,

774
00:42:40,120 --> 00:42:41,399
Speaker 1: but yeah, you look.

775
00:42:41,719 --> 00:42:43,840
Speaker 4: Yeah, that's an interesting way to think about it. Like

776
00:42:44,400 --> 00:42:48,320
Speaker 4: if there's a if there's you know, corporate headquarters of cocaine,

777
00:42:48,800 --> 00:42:52,560
Speaker 4: they're probably like, this is really bad for us, like

778
00:42:52,800 --> 00:42:56,719
Speaker 4: you know, like they're having marketing meetings about how bad

779
00:42:57,200 --> 00:43:03,400
Speaker 4: you know, people dying from just like random Sentinel intoxication.

780
00:43:03,160 --> 00:43:05,960
Speaker 2: And then the one guy's like, maybe this is a

781
00:43:05,960 --> 00:43:07,719
Speaker 2: good thing for us, Maybe we can spin this.

782
00:43:10,680 --> 00:43:14,160
Speaker 1: Are always like what if it's like what is actually good?

783
00:43:14,440 --> 00:43:15,799
Speaker 1: But if it's new coke.

784
00:43:18,320 --> 00:43:21,920
Speaker 4: Crystal fence and al, yeah, all right, let's take a

785
00:43:22,000 --> 00:43:24,040
Speaker 4: quick break and we'll be right back.

786
00:43:34,640 --> 00:43:36,520
Speaker 1: And we're back.

787
00:43:36,600 --> 00:43:41,759
Speaker 4: And so AI has like quieted down a little bit

788
00:43:41,920 --> 00:43:44,120
Speaker 4: because we haven't done a story about how AI is

789
00:43:44,160 --> 00:43:47,520
Speaker 4: bullshit for a while, So I think everything's just gone

790
00:43:47,600 --> 00:43:50,440
Speaker 4: quiet a little bit. But no, New York Magazine just

791
00:43:50,640 --> 00:43:53,120
Speaker 4: did a quick article that I thought made an interesting point,

792
00:43:53,160 --> 00:43:58,480
Speaker 4: which is the way the meaning of the word or

793
00:43:58,520 --> 00:44:02,080
Speaker 4: the phrase AI is changing, like has to be so

794
00:44:03,040 --> 00:44:05,840
Speaker 4: bad again, like thinking of the corporate headquarters of a

795
00:44:05,840 --> 00:44:09,560
Speaker 4: AI just sitting there, yeah and being like, holy shit,

796
00:44:09,680 --> 00:44:12,879
Speaker 4: this is this couldn't have gone any worse for us.

797
00:44:13,360 --> 00:44:16,080
Speaker 4: So I guess this part was news to me. It's

798
00:44:16,120 --> 00:44:19,880
Speaker 4: still at the forefront of tech investment and excitement in

799
00:44:20,080 --> 00:44:26,839
Speaker 4: Silicon Valley. Sam Altman is still just as confident and

800
00:44:27,239 --> 00:44:30,680
Speaker 4: egomaniacal to the degree that somebody said, hey, when are

801
00:44:30,719 --> 00:44:33,880
Speaker 4: we getting the new Voice features in a post on

802
00:44:34,280 --> 00:44:37,480
Speaker 4: earlier last week, and he responded how about a couple

803
00:44:37,520 --> 00:44:41,040
Speaker 4: weeks of gratitude for magic intelligence in the sky and

804
00:44:41,080 --> 00:44:43,080
Speaker 4: then you can have more toys soon.

805
00:44:43,080 --> 00:44:44,879
Speaker 1: Question Mark, get the fuck?

806
00:44:45,880 --> 00:44:48,279
Speaker 4: So he's just like, yeah, why don't you watch the

807
00:44:48,280 --> 00:44:52,799
Speaker 4: way you talk to your God? Yeah, this is the

808
00:44:52,800 --> 00:44:55,799
Speaker 4: guy again who claimed he's so spooked by his own

809
00:44:55,880 --> 00:44:58,719
Speaker 4: AI that he keeps a suicide capsule on him at

810
00:44:58,719 --> 00:45:02,239
Speaker 4: all times, even though he presumably knows that his own

811
00:45:02,280 --> 00:45:07,680
Speaker 4: AI is just a glorified by Yeah, he's he's good

812
00:45:07,719 --> 00:45:11,960
Speaker 4: at marketing. One thing they can't really control, Like, obviously

813
00:45:12,040 --> 00:45:14,400
Speaker 4: they can control how it's viewed by them and their peers,

814
00:45:14,400 --> 00:45:18,480
Speaker 4: but the general public, like how the Internet at large

815
00:45:19,000 --> 00:45:22,520
Speaker 4: uses and reacts to AI, seems to be a little

816
00:45:22,560 --> 00:45:25,400
Speaker 4: bit more out of their control. And the point this

817
00:45:25,520 --> 00:45:28,040
Speaker 4: article is making is just that there seems to be

818
00:45:28,120 --> 00:45:32,520
Speaker 4: a drift happening that is similar to how the meaning

819
00:45:32,560 --> 00:45:37,600
Speaker 4: of the word bot changed. Like at the advent of computing,

820
00:45:37,880 --> 00:45:41,960
Speaker 4: the idea of creating a robot that could carry on

821
00:45:42,000 --> 00:45:45,960
Speaker 4: a conversation and answer questions was seen as like cool

822
00:45:46,080 --> 00:45:49,319
Speaker 4: and compelling and aspirational, and you know, a lot of

823
00:45:49,400 --> 00:45:52,640
Speaker 4: sci fi writers talked and thought about that, and then

824
00:45:52,680 --> 00:45:56,520
Speaker 4: it was shitty cheap versions of that were used to

825
00:45:56,760 --> 00:46:01,640
Speaker 4: just clog the Internet with bullshit, and from basically two

826
00:46:01,680 --> 00:46:05,440
Speaker 4: thousand and seven onward it's been used as shorthand for

827
00:46:06,160 --> 00:46:11,560
Speaker 4: like a mindless, broken communication tool that like just us

828
00:46:11,840 --> 00:46:14,719
Speaker 4: lifeless bullshit at your like, that's what a bot is.

829
00:46:14,960 --> 00:46:18,240
Speaker 4: And you can also insult someone by being like calling

830
00:46:18,280 --> 00:46:22,360
Speaker 4: them abot as like, you know, indistinguishable from the aforementioned

831
00:46:23,040 --> 00:46:25,720
Speaker 4: just soulless bullshit spewing machine.

832
00:46:26,239 --> 00:46:28,480
Speaker 1: But is that like a shift or is that like

833
00:46:28,520 --> 00:46:31,480
Speaker 1: a regression from the marketing to the reality, because that

834
00:46:32,000 --> 00:46:34,120
Speaker 1: the second, the thing they are now is what they

835
00:46:34,160 --> 00:46:34,800
Speaker 1: always were.

836
00:46:35,280 --> 00:46:37,600
Speaker 4: Yeah, so that's the other thing. So I just think

837
00:46:37,640 --> 00:46:40,960
Speaker 4: that this is basically what is happening with AI, and

838
00:46:41,040 --> 00:46:47,000
Speaker 4: AI also is fairly similar to what the bots were already. Right,

839
00:46:47,239 --> 00:46:52,720
Speaker 4: it's like a broken autocomplete thing that can sometimes trick people,

840
00:46:53,320 --> 00:46:56,000
Speaker 4: but for the most part, it's like a thing that

841
00:46:56,080 --> 00:46:58,760
Speaker 4: can be fun to play with but is not able

842
00:46:58,800 --> 00:47:02,120
Speaker 4: to do the things that people want it to. And write,

843
00:47:02,440 --> 00:47:04,279
Speaker 4: a lot of these companies went and like jammed their

844
00:47:04,320 --> 00:47:07,040
Speaker 4: product into a bunch of tools before it was ready

845
00:47:07,080 --> 00:47:12,320
Speaker 4: to be used, and now it's essentially synonymous with things

846
00:47:12,400 --> 00:47:16,880
Speaker 4: that suck like that is essentially how people refer to AI.

847
00:47:16,719 --> 00:47:17,759
Speaker 1: At this point.

848
00:47:17,880 --> 00:47:23,520
Speaker 4: It's just a word for a image that looks like

849
00:47:23,640 --> 00:47:27,680
Speaker 4: shit or you know, an article that seems to be

850
00:47:28,239 --> 00:47:34,920
Speaker 4: written by someone who would sleep. Yeah, was being revived

851
00:47:35,040 --> 00:47:35,640
Speaker 4: by Narcan.

852
00:47:36,040 --> 00:47:38,239
Speaker 1: Yeah, that's like it definitely. It almost has like a

853
00:47:38,280 --> 00:47:41,399
Speaker 1: more accelerated life cycle than like the term bot did,

854
00:47:41,440 --> 00:47:43,399
Speaker 1: because I feel like a year and a half ago

855
00:47:43,960 --> 00:47:45,920
Speaker 1: we were like, Yo, what the fuck is with AI?

856
00:47:46,120 --> 00:47:47,960
Speaker 1: And now it's like and now you're like, this is

857
00:47:48,000 --> 00:47:50,719
Speaker 1: some AI bullshit, you know what I mean, Like this

858
00:47:50,760 --> 00:47:53,680
Speaker 1: is what we say like all the time. There's just

859
00:47:53,719 --> 00:47:55,400
Speaker 1: you just see things that you're like, oh, this is

860
00:47:55,440 --> 00:47:58,440
Speaker 1: just shitty AI, like a shitty AI image, And Yeah,

861
00:47:58,520 --> 00:48:01,680
Speaker 1: to that point, the association with it is like now

862
00:48:01,719 --> 00:48:04,600
Speaker 1: you're like critical, Like when you see someone using AI,

863
00:48:04,640 --> 00:48:07,600
Speaker 1: you're like, that person's a fucking herd, Like yeah, fuck,

864
00:48:07,640 --> 00:48:10,560
Speaker 1: this is stupid that yeah art that they're put like

865
00:48:10,600 --> 00:48:14,360
Speaker 1: posting up, that's stupid, it's bullshit. And yeah, so definitely,

866
00:48:14,480 --> 00:48:17,040
Speaker 1: and from that point of view, it's they're having a

867
00:48:17,040 --> 00:48:19,000
Speaker 1: little bit of a problem with the with the branding

868
00:48:19,000 --> 00:48:19,319
Speaker 1: for sure.

869
00:48:19,400 --> 00:48:21,120
Speaker 4: Yeah, I just don't know how you come back from

870
00:48:21,120 --> 00:48:24,279
Speaker 4: it right, like when because so like a couple of

871
00:48:24,280 --> 00:48:26,839
Speaker 4: examples they use that they're like, we're not entirely sure

872
00:48:26,880 --> 00:48:30,600
Speaker 4: this is AI at all. This might just be bad art.

873
00:48:30,719 --> 00:48:34,760
Speaker 4: Like the cover of the Atlantic magazine has Donald Trump

874
00:48:35,000 --> 00:48:39,520
Speaker 4: like driving a horse drawn carriage with an elephant in

875
00:48:39,560 --> 00:48:41,839
Speaker 4: the back. It's like supposed to I think it like

876
00:48:41,960 --> 00:48:44,160
Speaker 4: has some Dumbo vibes to it.

877
00:48:44,400 --> 00:48:47,480
Speaker 1: He's captured the party, dude. It's yeah, lock up cage.

878
00:48:47,600 --> 00:48:51,399
Speaker 1: Oh shit, that okay, got it? Yeah?

879
00:48:51,480 --> 00:48:56,879
Speaker 4: No, that's and then it's like it's not that. There's

880
00:48:56,920 --> 00:48:59,799
Speaker 4: also this tweet from someone named John Iceman who said,

881
00:48:59,800 --> 00:49:02,799
Speaker 4: I'm obsessed with this obviously AI print out my local

882
00:49:02,880 --> 00:49:05,480
Speaker 4: bodega hung up to say they don't have a bathroom,

883
00:49:05,920 --> 00:49:09,279
Speaker 4: and it says it's like a political cartoon with a

884
00:49:09,320 --> 00:49:11,400
Speaker 4: line of people walking up to a door and it

885
00:49:11,440 --> 00:49:16,400
Speaker 4: says no restroom for anyone for I A for io one. Yeah,

886
00:49:16,400 --> 00:49:22,239
Speaker 4: but like bad political cartoons and like misspellings have been

887
00:49:22,280 --> 00:49:27,400
Speaker 4: around forever, Like there's nothing at all for me to

888
00:49:27,440 --> 00:49:32,359
Speaker 4: indicate that the people who own this bodega, like we're

889
00:49:32,440 --> 00:49:37,400
Speaker 4: using chat GPT to generate this bullshit image. It's just

890
00:49:37,440 --> 00:49:40,640
Speaker 4: like you could probably find that with like a simple

891
00:49:41,160 --> 00:49:44,560
Speaker 4: Google search. But we've just crossed a line where it

892
00:49:44,640 --> 00:49:48,200
Speaker 4: is assumed that all bad art is AI generated even

893
00:49:48,239 --> 00:49:50,600
Speaker 4: when it's not, and that I feel like that's just

894
00:49:50,640 --> 00:49:52,880
Speaker 4: got to be a tough trend to bounce back from,

895
00:49:53,040 --> 00:49:56,000
Speaker 4: like from a marketing perspective where it's like, oh, yeah,

896
00:49:56,080 --> 00:49:58,919
Speaker 4: AI is just a word for something that sucks.

897
00:49:59,320 --> 00:50:02,000
Speaker 1: Well, I think the impressive part is just like, well

898
00:50:02,000 --> 00:50:04,960
Speaker 1: look what it did. It's like, the impressive part is

899
00:50:05,000 --> 00:50:06,840
Speaker 1: you don't have to pay anyone for it to generate

900
00:50:06,920 --> 00:50:09,319
Speaker 1: something you normally bad, you know what I mean? So

901
00:50:09,440 --> 00:50:11,439
Speaker 1: like what so at that point, I'm like, I don't

902
00:50:11,480 --> 00:50:13,839
Speaker 1: know what they do that Suddenly people are like, oh

903
00:50:13,880 --> 00:50:16,960
Speaker 1: my god, yeah, like we really we really had it

904
00:50:17,000 --> 00:50:17,840
Speaker 1: wrong with AI.

905
00:50:18,320 --> 00:50:23,359
Speaker 2: I think that's why, I mean, having skimmed like a

906
00:50:23,400 --> 00:50:27,520
Speaker 2: little bit of the like computer science research of it,

907
00:50:27,520 --> 00:50:31,680
Speaker 2: it's as far as I understand, it's just like it's

908
00:50:32,320 --> 00:50:34,960
Speaker 2: it's at a high level of complexity now, but each

909
00:50:35,280 --> 00:50:42,240
Speaker 2: additional like level of complexity starts to become like logarithmically

910
00:50:42,280 --> 00:50:45,680
Speaker 2: more difficult. So we're already maxing out energy usage. We

911
00:50:45,719 --> 00:50:49,560
Speaker 2: need to like just to maintain this shit that is bad.

912
00:50:50,080 --> 00:50:53,719
Speaker 2: We had to like revamp the power grid and like

913
00:50:54,400 --> 00:50:59,520
Speaker 2: figure out different more efficient computer chips than silicon like.

914
00:51:00,280 --> 00:51:00,719
Speaker 1: We would have.

915
00:51:00,920 --> 00:51:02,920
Speaker 2: Like it's just like the shit that has to happen

916
00:51:03,000 --> 00:51:08,080
Speaker 2: for this to be good is not. It's it's like

917
00:51:08,280 --> 00:51:13,080
Speaker 2: fundamentally rethinking computing energy right and.

918
00:51:13,080 --> 00:51:15,920
Speaker 4: By the infrastructure of human society.

919
00:51:16,280 --> 00:51:20,000
Speaker 2: If you solved those problems, even without this you know,

920
00:51:20,080 --> 00:51:23,840
Speaker 2: fake ass ai like, life would be immeasurably better because

921
00:51:23,840 --> 00:51:27,120
Speaker 2: we've made batteries that were a thousand times more like

922
00:51:27,120 --> 00:51:30,040
Speaker 2: like efficient, or like chips that are like you know,

923
00:51:30,160 --> 00:51:36,520
Speaker 2: Moore's law violatingly more like cheap, and computations per second.

924
00:51:36,560 --> 00:51:40,920
Speaker 2: So it's like, yeah, all the shit otherwise that didn't

925
00:51:41,000 --> 00:51:43,719
Speaker 2: and maybe can't happen hasn't happened yet, so none of

926
00:51:43,719 --> 00:51:44,600
Speaker 2: this is gonna work.

927
00:51:44,880 --> 00:51:47,680
Speaker 1: Right. The irony is like people who have been you know,

928
00:51:47,760 --> 00:51:50,440
Speaker 1: advocates for green energy are saying, it's not that the

929
00:51:50,480 --> 00:51:53,439
Speaker 1: green energy isn't available or the technology is not there.

930
00:51:53,600 --> 00:51:57,520
Speaker 1: We don't have a fucking transmission grid to properly and

931
00:51:57,600 --> 00:52:00,880
Speaker 1: efficiently move all of this green energy we can generate.

932
00:52:01,120 --> 00:52:03,600
Speaker 1: That's one of the biggest fucking hang ups. And the

933
00:52:03,640 --> 00:52:06,000
Speaker 1: irony would be like, yeah, we're modernizing the grid for

934
00:52:06,120 --> 00:52:11,400
Speaker 1: fucking AI. Sure, it's like wait, what the fuck yeah, because.

935
00:52:12,040 --> 00:52:13,799
Speaker 4: Like this is and this is the thing you're seeing

936
00:52:13,840 --> 00:52:16,839
Speaker 4: in business literature and like Wall Street literature right now,

937
00:52:17,000 --> 00:52:20,520
Speaker 4: is there's this built in assumption like we need to

938
00:52:20,560 --> 00:52:24,799
Speaker 4: rebuild everything, like we need this to completely rethink like

939
00:52:24,840 --> 00:52:27,759
Speaker 4: how much electricity we have access to and how much

940
00:52:27,760 --> 00:52:32,319
Speaker 4: electricity we're using. Like that's what Trump was trying to

941
00:52:32,400 --> 00:52:35,080
Speaker 4: talk about in that interview with Elon Musk when he

942
00:52:35,200 --> 00:52:38,040
Speaker 4: was like nuclear power very dangerous, and then Elon Musk

943
00:52:38,160 --> 00:52:41,120
Speaker 4: was like, we actually need nuclear power for like AI

944
00:52:41,239 --> 00:52:46,120
Speaker 4: to continue to like be powered. And so I think

945
00:52:46,600 --> 00:52:50,240
Speaker 4: there's going to be a moment or maybe not a moment,

946
00:52:50,280 --> 00:52:52,000
Speaker 4: but like I think that's what we're going to be facing,

947
00:52:52,120 --> 00:52:55,239
Speaker 4: is like they are going to be just trying to

948
00:52:55,360 --> 00:52:57,440
Speaker 4: build in this assumption like well, we need to like

949
00:52:57,480 --> 00:53:02,880
Speaker 4: continue developing AI, so therefore fuck climate like that. It

950
00:53:02,920 --> 00:53:05,520
Speaker 4: really does seem like a lot of the AI stuff

951
00:53:05,760 --> 00:53:09,839
Speaker 4: has coincided with the assumption changing from well we're gonna

952
00:53:09,840 --> 00:53:11,640
Speaker 4: have to do something about climate.

953
00:53:11,280 --> 00:53:17,839
Speaker 2: To maybe not they will make anything, to the thing

954
00:53:17,920 --> 00:53:21,360
Speaker 2: with all these like tech people about like climate, like

955
00:53:21,560 --> 00:53:24,839
Speaker 2: because there are certain like AI might solve climate change

956
00:53:24,840 --> 00:53:28,360
Speaker 2: for us, and it's like that might be a compelling.

957
00:53:28,000 --> 00:53:31,440
Speaker 1: Argument, but it's also, oh, like a version where we

958
00:53:31,560 --> 00:53:33,399
Speaker 1: know what we have to stop doing. It's like, well,

959
00:53:33,400 --> 00:53:37,319
Speaker 1: it might come up with it easier. Yeah, I don't know.

960
00:53:37,440 --> 00:53:41,160
Speaker 2: We also haven't ever implemented the other shit, like using

961
00:53:41,280 --> 00:53:45,960
Speaker 2: less fossil fuels, Like we've never done that. So they

962
00:53:46,000 --> 00:53:50,880
Speaker 2: will do anything and promise any technology to avoid doing

963
00:53:50,920 --> 00:53:54,839
Speaker 2: the thing that is proven to work. It's just low

964
00:53:54,920 --> 00:53:59,440
Speaker 2: tech and would hurt the oil industry. It's like it's

965
00:53:59,600 --> 00:54:04,799
Speaker 2: so pathetic, all these like tech I just hate them

966
00:54:04,840 --> 00:54:05,360
Speaker 2: so much.

967
00:54:05,600 --> 00:54:08,760
Speaker 4: Well, yeah, they like destroy the globe to power AI

968
00:54:09,080 --> 00:54:11,719
Speaker 4: to get an answer to for an answer to the

969
00:54:11,800 --> 00:54:14,040
Speaker 4: question of how to fix climate change, and then the

970
00:54:14,080 --> 00:54:16,160
Speaker 4: answer is like stop using fossil fuel.

971
00:54:16,280 --> 00:54:19,680
Speaker 2: Yeah, they're they're they're like forcing us into a hail

972
00:54:19,800 --> 00:54:21,800
Speaker 2: Mary that is so unnecessary.

973
00:54:21,960 --> 00:54:23,799
Speaker 1: Yeah for humanity.

974
00:54:24,160 --> 00:54:27,120
Speaker 2: It's like, Okay, well we didn't have to do any

975
00:54:27,160 --> 00:54:30,000
Speaker 2: of this, but I guess it's too late to not.

976
00:54:30,200 --> 00:54:30,560
Speaker 1: I don't know.

977
00:54:30,640 --> 00:54:33,480
Speaker 2: I may be the unintended consequence is if we can

978
00:54:34,160 --> 00:54:37,000
Speaker 2: fucking get a good power grid and like I don't know,

979
00:54:37,239 --> 00:54:41,160
Speaker 2: solar or you know, nuclear that works. Nuclear does work.

980
00:54:41,239 --> 00:54:44,560
Speaker 1: But yeah, I mean it's truly it's like the transmission grid.

981
00:54:44,600 --> 00:54:48,000
Speaker 1: Like it's not like we don't have vast swaths of

982
00:54:48,080 --> 00:54:52,640
Speaker 1: land that are getting absolutely cooked by the sun every

983
00:54:52,760 --> 00:54:56,120
Speaker 1: fucking day, like with maybe like anomalist couple of days

984
00:54:56,120 --> 00:54:58,680
Speaker 1: where it isn't, but like with the right storage and

985
00:54:58,719 --> 00:55:02,360
Speaker 1: transmission stuff, like you can fucking power such a significant

986
00:55:02,400 --> 00:55:05,239
Speaker 1: amount of the country with a you know, comparatively small

987
00:55:05,280 --> 00:55:09,360
Speaker 1: amount of land. But again, it's just it that's that

988
00:55:09,600 --> 00:55:12,080
Speaker 1: is too disruptive to like this sort of fossil fuel

989
00:55:12,120 --> 00:55:14,840
Speaker 1: status quo that we're in. It's just like, well, maybe

990
00:55:14,880 --> 00:55:18,120
Speaker 1: fucking AI will can invent a thing that will be

991
00:55:18,160 --> 00:55:19,520
Speaker 1: a shield for our earth.

992
00:55:19,719 --> 00:55:24,920
Speaker 2: That's like, yeah, Ai, AI to your AI, can you

993
00:55:25,080 --> 00:55:27,400
Speaker 2: how can we find a way to like not totally

994
00:55:27,400 --> 00:55:30,960
Speaker 2: cook the planet while not losing any value for the

995
00:55:30,960 --> 00:55:32,520
Speaker 2: worst for shireholders?

996
00:55:32,640 --> 00:55:35,160
Speaker 1: Yeah, Or it would be like I remember like trying

997
00:55:35,160 --> 00:55:37,719
Speaker 1: to fucking like like like cheat on a test or

998
00:55:37,719 --> 00:55:40,279
Speaker 1: some shit, and I will put all this thought into

999
00:55:40,360 --> 00:55:42,520
Speaker 1: being like yo, if I could just steal this from

1000
00:55:42,560 --> 00:55:44,799
Speaker 1: the teacher, and then if you distract them and you

1001
00:55:44,880 --> 00:55:47,240
Speaker 1: fake having a medical event while their head is turned

1002
00:55:47,280 --> 00:55:49,200
Speaker 1: I can take a fucking low key picture like the

1003
00:55:49,320 --> 00:55:50,560
Speaker 1: end of Oceans eleven with you.

1004
00:55:50,640 --> 00:55:50,839
Speaker 5: Yeah.

1005
00:55:50,880 --> 00:55:53,920
Speaker 4: Yeah, and of your friends like walking, like carrying briefcases,

1006
00:55:54,000 --> 00:55:56,600
Speaker 4: drop it, like handing in to each other without stopping

1007
00:55:56,680 --> 00:55:57,800
Speaker 4: or looking at each other.

1008
00:55:57,800 --> 00:56:00,160
Speaker 1: Right exactly. Like it's like, what if you just had

1009
00:56:00,360 --> 00:56:05,080
Speaker 1: the chapter of the book. I don't know.

1010
00:56:05,120 --> 00:56:09,920
Speaker 4: I'm a good student, You're incredibly smart, Miles.

1011
00:56:10,360 --> 00:56:13,120
Speaker 1: Rather, I'm trying to I think I don't want to

1012
00:56:13,160 --> 00:56:15,839
Speaker 1: do that, and I know that's the answer. But what

1013
00:56:15,960 --> 00:56:18,280
Speaker 1: if my friend faked an epileptic seizure.

1014
00:56:18,480 --> 00:56:21,279
Speaker 4: Yeah no, no, no, but you just like put a little

1015
00:56:21,280 --> 00:56:22,520
Speaker 4: alca celter in his mouth.

1016
00:56:22,680 --> 00:56:25,879
Speaker 1: Yeah no, it's too obvious. Too obvious, dude. Yeah, Like

1017
00:56:26,600 --> 00:56:29,480
Speaker 1: the tech bros are doing this but forcing us to

1018
00:56:29,520 --> 00:56:31,759
Speaker 1: be in on their ski. Yeah exactly right.

1019
00:56:31,960 --> 00:56:33,440
Speaker 2: This is like if you held the rest of your

1020
00:56:33,440 --> 00:56:35,440
Speaker 2: classic gunpoint is like, no, we're all doing this.

1021
00:56:35,560 --> 00:56:37,359
Speaker 1: They shut the fuck up. I don't care if you can,

1022
00:56:37,520 --> 00:56:39,200
Speaker 1: I don't care. I don't care if you read Nectar

1023
00:56:39,200 --> 00:56:41,920
Speaker 1: in the Sieve, all right, but I ain't reading it.

1024
00:56:42,400 --> 00:56:47,160
Speaker 4: Yeah yeah, it's uh. I had something to say a

1025
00:56:47,239 --> 00:56:50,480
Speaker 4: minute left my brain, but it's okay.

1026
00:56:50,520 --> 00:56:57,000
Speaker 1: Yeah, you woman ask a what was Jack about to say?

1027
00:56:57,640 --> 00:57:01,080
Speaker 4: All right, well those are some of the stories that

1028
00:57:01,080 --> 00:57:03,879
Speaker 4: are happening today. Andrew T. What a pleasure having you

1029
00:57:03,960 --> 00:57:08,239
Speaker 4: as always? Where can people find you? Follow you all

1030
00:57:08,280 --> 00:57:09,080
Speaker 4: that good stuff?

1031
00:57:09,239 --> 00:57:11,120
Speaker 1: I am yeah? Podcast? You know?

1032
00:57:11,280 --> 00:57:11,920
Speaker 2: Is this racist?

1033
00:57:12,040 --> 00:57:17,240
Speaker 1: Andrew T last n is FELTI that's it. I don't know.

1034
00:57:17,680 --> 00:57:20,760
Speaker 2: Listen, we got we got bonus podcasts at suboptimal pods

1035
00:57:20,760 --> 00:57:23,920
Speaker 2: dot com. I've been doing a lot more gambling than

1036
00:57:23,960 --> 00:57:25,840
Speaker 2: I should do on a podcast.

1037
00:57:26,040 --> 00:57:29,160
Speaker 1: But wait, what do you mean like just taking weird

1038
00:57:29,200 --> 00:57:29,720
Speaker 1: bets on?

1039
00:57:29,960 --> 00:57:33,000
Speaker 2: Just know we're doing a bonus podcast with me versus

1040
00:57:33,080 --> 00:57:36,760
Speaker 2: Jessica Goo called The Gambler, where she was of the

1041
00:57:36,880 --> 00:57:39,720
Speaker 2: impression that I don't want to misquote her, but I

1042
00:57:39,760 --> 00:57:43,120
Speaker 2: am going to that poker was entirely a game of chance,

1043
00:57:43,120 --> 00:57:45,360
Speaker 2: and I was like, it's not. So we're doing a

1044
00:57:45,440 --> 00:57:48,440
Speaker 2: head to head one hundred dollars bankroll challenge. I'm playing

1045
00:57:48,560 --> 00:57:55,080
Speaker 2: quarter poker at unmentioned site. Maybe I'm not in the

1046
00:57:55,080 --> 00:57:59,760
Speaker 2: state of California, it doesn't matter. And she is playing

1047
00:58:00,080 --> 00:58:03,480
Speaker 2: ratcher scratch off tickets and we're seeing who's gonna win

1048
00:58:04,040 --> 00:58:06,240
Speaker 2: in this head to head gambling challenge.

1049
00:58:06,240 --> 00:58:09,320
Speaker 1: So we're gambling on top of gambling. Okay, gamble and

1050
00:58:09,360 --> 00:58:12,600
Speaker 1: gamble on gamble. I'm going it's going well. Sounds fun.

1051
00:58:13,320 --> 00:58:15,440
Speaker 4: Is there a work of media that you've been enjoying.

1052
00:58:15,680 --> 00:58:20,760
Speaker 2: Oh yeah, I watched a movie called Lady Snowblood. It

1053
00:58:20,840 --> 00:58:24,400
Speaker 2: was like a revival at the Alamo here in Los Angeles,

1054
00:58:24,720 --> 00:58:28,760
Speaker 2: and it's sort of like it was very clear people

1055
00:58:28,800 --> 00:58:30,960
Speaker 2: had said it was sort of one of the like

1056
00:58:31,800 --> 00:58:36,680
Speaker 2: I guess, like it's a Japanese feudal japan story that

1057
00:58:36,800 --> 00:58:39,120
Speaker 2: was sort of one of the inspirations for kill Bill,

1058
00:58:39,160 --> 00:58:43,280
Speaker 2: and it's a lot of like very hilarious, Like I

1059
00:58:43,320 --> 00:58:48,640
Speaker 2: guess it's probably like you know, sixties seventies Japanese special effects,

1060
00:58:48,800 --> 00:58:52,960
Speaker 2: most importantly the like single slash with a sword and

1061
00:58:53,240 --> 00:58:59,800
Speaker 2: just like a fire hose of blood. Oh from like yeah,

1062
00:59:00,680 --> 00:59:03,440
Speaker 2: I had honestly, I guess I don't know that like

1063
00:59:03,640 --> 00:59:05,960
Speaker 2: enough about Japanese cinema, but it was like, oh, I

1064
00:59:06,000 --> 00:59:08,800
Speaker 2: assume that was like an anime thing and seeing.

1065
00:59:08,520 --> 00:59:11,280
Speaker 1: It, like no, it's from Sun Diital and that's it.

1066
00:59:11,280 --> 00:59:15,360
Speaker 1: It was a mechanical failure. Yeah, okay, yeah, like it

1067
00:59:15,400 --> 00:59:17,280
Speaker 1: was supposed to do a little bit, but that shit

1068
00:59:17,400 --> 00:59:22,040
Speaker 1: just went And then Grosawa was like keep that shit ye,

1069
00:59:22,680 --> 00:59:28,960
Speaker 1: and then so much A thousands ships. Yeah anyway, yeah,

1070
00:59:29,000 --> 00:59:30,640
Speaker 1: lady Solba, and I don't know where you can see it,

1071
00:59:30,760 --> 00:59:34,840
Speaker 1: probably find it on streaming somewhere. It was amazing. That

1072
00:59:34,960 --> 00:59:35,480
Speaker 1: sounds good.

1073
00:59:35,960 --> 00:59:38,040
Speaker 4: Miles, Where can people find you as their work media

1074
00:59:38,080 --> 00:59:38,840
Speaker 4: you've been enjoying.

1075
00:59:39,400 --> 00:59:42,000
Speaker 1: Find me on Twitter and Instagram and the like at

1076
00:59:42,080 --> 00:59:44,480
Speaker 1: Miles of Gray, Find Jack and I on the basketball

1077
00:59:44,480 --> 00:59:47,400
Speaker 1: podcast Miles with Jack. I'm at Boosties. You can find

1078
00:59:47,400 --> 00:59:50,040
Speaker 1: me talking ninety day Fiance on four twenty Day Fiance.

1079
00:59:50,200 --> 00:59:52,280
Speaker 1: I have a few First of all, did you see

1080
00:59:52,320 --> 00:59:55,200
Speaker 1: that clip that was going around of like the Celebrity

1081
00:59:55,240 --> 00:59:57,960
Speaker 1: Jeopardy when Wenona Ryder was York? It was like all

1082
00:59:57,960 --> 00:59:58,960
Speaker 1: over Twitter the other night.

1083
00:59:59,160 --> 01:00:01,240
Speaker 4: I did. I saw it, but I didn't stop to watch.

1084
01:00:01,520 --> 01:00:04,240
Speaker 1: I I don't know how the This is like in

1085
01:00:04,360 --> 01:00:07,840
Speaker 1: my top three of like Byork anythings, uh and I

1086
01:00:07,880 --> 01:00:10,880
Speaker 1: love Byork? This is it's a therapist. Winona Writer was

1087
01:00:11,280 --> 01:00:14,240
Speaker 1: as Byork isn't real, she can't hurt you, and then

1088
01:00:14,320 --> 01:00:16,880
Speaker 1: it says Winona Writer is Byork. I'm just gonna play

1089
01:00:16,880 --> 01:00:20,520
Speaker 1: a quick piece of this because this is fantastic acting

1090
01:00:20,560 --> 01:00:24,880
Speaker 1: from Winona Writer. Sometimes when I look at my veins

1091
01:00:25,000 --> 01:00:32,680
Speaker 1: and my hands, there were these two snakes. Laugh. She

1092
01:00:32,800 --> 01:00:37,760
Speaker 1: goes a minute long. Her commitment is so fucking next level,

1093
01:00:37,800 --> 01:00:41,040
Speaker 1: and that's what it takes to do a proper byork impersonation.

1094
01:00:41,840 --> 01:00:46,200
Speaker 1: Another one is from at Elite Underscore GZ tweeted you

1095
01:00:46,240 --> 01:00:49,160
Speaker 1: ever see a tweet so fire it breaks the language barrier?

1096
01:00:49,480 --> 01:00:53,840
Speaker 1: And it's a quote tweet from at Franas Magoria that said,

1097
01:00:54,240 --> 01:01:01,640
Speaker 1: la mayonessa es la re verb delo sandwiches And I'm like, yo, yep, yep,

1098
01:01:02,040 --> 01:01:06,320
Speaker 1: mm hmmm mm hmmm mm hmmm. That's right. Facts I don't.

1099
01:01:06,360 --> 01:01:09,720
Speaker 1: I don't know exactly as it is the reb of

1100
01:01:09,840 --> 01:01:10,720
Speaker 1: this unfortunately.

1101
01:01:11,320 --> 01:01:17,360
Speaker 4: All right, you can find me on Twitter at Jack Underscore. O'Brien, Uh,

1102
01:01:17,640 --> 01:01:22,320
Speaker 4: what are some tweets I've been enjoying. I've just been

1103
01:01:22,400 --> 01:01:25,000
Speaker 4: enjoying a lot of the a lot of people, you know,

1104
01:01:25,400 --> 01:01:29,240
Speaker 4: dealing with the news about Adrian wojn Houski, the woj

1105
01:01:29,800 --> 01:01:35,120
Speaker 4: from ESPN leaving ESPN to go be the general manager

1106
01:01:35,160 --> 01:01:40,160
Speaker 4: of Saint Bonaventure's basketball program. And yeah, I don't, I

1107
01:01:40,200 --> 01:01:43,280
Speaker 4: don't know what to do with that information. Yeah, I

1108
01:01:43,280 --> 01:01:46,520
Speaker 4: mean suggest maybe like ESPN should treat their on air

1109
01:01:46,600 --> 01:01:50,000
Speaker 4: people better. I don't have any reason to suspect that's

1110
01:01:50,000 --> 01:01:54,600
Speaker 4: what it is, but a national icon. And he just

1111
01:01:54,720 --> 01:02:00,400
Speaker 4: left to be the general manager of Saint Bonaventures. I

1112
01:02:00,440 --> 01:02:02,400
Speaker 4: mean maybe it's just like his job. His job's got

1113
01:02:02,400 --> 01:02:02,800
Speaker 4: to be hard.

1114
01:02:03,160 --> 01:02:06,400
Speaker 1: Yeah, yeah, but the Wojh bomb is such a vital

1115
01:02:06,480 --> 01:02:12,840
Speaker 1: part of the NBA Twitter information sphere that shams. It's

1116
01:02:12,920 --> 01:02:13,560
Speaker 1: up to you now.

1117
01:02:13,920 --> 01:02:17,880
Speaker 4: Craigary Smith tweeted Adrian Wolje and our Houski got woken

1118
01:02:17,960 --> 01:02:19,480
Speaker 4: up in the middle of the night to be told

1119
01:02:19,560 --> 01:02:22,480
Speaker 4: Isaac o'corrow was signing a three year, thirty eight million

1120
01:02:22,520 --> 01:02:25,280
Speaker 4: dollar deal to return to the Caves and immediately re

1121
01:02:25,440 --> 01:02:29,600
Speaker 4: evaluated his life because that was his last world bomb

1122
01:02:30,280 --> 01:02:34,280
Speaker 4: was like a very unimportant NBA deal. And then I

1123
01:02:34,320 --> 01:02:36,680
Speaker 4: also like this from Big Honk and Kaboos who wrote

1124
01:02:36,800 --> 01:02:39,600
Speaker 4: take me down to the Roku City where the grass

1125
01:02:39,720 --> 01:02:44,480
Speaker 4: is purple and everything is also purple. You can find

1126
01:02:44,640 --> 01:02:47,280
Speaker 4: me on Twitter at Jack Underscore O'Brian. You can find

1127
01:02:47,360 --> 01:02:49,920
Speaker 4: us on Twitter at Daily Zeikeeist. We're at the Daily

1128
01:02:50,000 --> 01:02:52,840
Speaker 4: Zeichgeist on Instagram, we have a Facebook fan page and

1129
01:02:52,880 --> 01:02:55,240
Speaker 4: a website. Daily zeikeist dot com, where we post our

1130
01:02:55,280 --> 01:02:58,320
Speaker 4: episodes and our footnote. We'll link off to the information

1131
01:02:58,360 --> 01:03:00,840
Speaker 4: that we talked about in today's episode, as well as

1132
01:03:00,840 --> 01:03:03,720
Speaker 4: a song that we think you might enjoy.

1133
01:03:04,040 --> 01:03:06,560
Speaker 1: Miles, is there a song that you think people might enjoy?

1134
01:03:06,920 --> 01:03:07,200
Speaker 3: Yeah?

1135
01:03:07,320 --> 01:03:09,760
Speaker 1: I you know a lot of people who heard Andre

1136
01:03:09,840 --> 01:03:13,240
Speaker 1: three thousand's flute album were like, where's the beat? Like

1137
01:03:13,320 --> 01:03:15,200
Speaker 1: how do I vibe with this? And it was very

1138
01:03:15,240 --> 01:03:21,360
Speaker 1: avant garde. Well, you know, very very very iconic. Angelino

1139
01:03:21,440 --> 01:03:25,680
Speaker 1: and sax player Kumasi Washington has there's actually an Andre

1140
01:03:25,760 --> 01:03:28,760
Speaker 1: three thousand feature on his album that came out earlier

1141
01:03:28,760 --> 01:03:30,200
Speaker 1: this year, and I was listening to it. It's called

1142
01:03:30,280 --> 01:03:32,760
Speaker 1: dream State. So if you want a little bit of

1143
01:03:32,880 --> 01:03:36,120
Speaker 1: Andre three thousand on a jazz or track, you can

1144
01:03:36,200 --> 01:03:39,479
Speaker 1: get that on this Kamasi Washington track called dream State,

1145
01:03:39,600 --> 01:03:42,400
Speaker 1: So enjoy that a bit of nice jazz. It's like

1146
01:03:42,440 --> 01:03:44,160
Speaker 1: a long track too, so it's nice to just put

1147
01:03:44,200 --> 01:03:46,400
Speaker 1: on while you're doing something. So yeah, dream State by

1148
01:03:46,440 --> 01:03:48,960
Speaker 1: Kumasi Washington featuring Andre three thousand.

1149
01:03:49,600 --> 01:03:51,520
Speaker 4: Oh right, We will link off to that in the

1150
01:03:51,560 --> 01:03:54,880
Speaker 4: footnote for delizegeis is a production of iHeartRadio. For more

1151
01:03:54,960 --> 01:03:58,080
Speaker 4: podcasts from My Heart Radio, visit the iHeartRadio, ap Apple Podcaster,

1152
01:03:58,560 --> 01:04:00,560
Speaker 4: wherever you listen to your favorite that was going to

1153
01:04:00,640 --> 01:04:02,920
Speaker 4: do it for us this morning, back this afternoon to

1154
01:04:02,960 --> 01:04:04,720
Speaker 4: tell you what is trending and we will talk to

1155
01:04:05,000 --> 01:04:10,560
Speaker 4: y'all then, Bye bye,