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Speaker 1: Too sexy for.

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Speaker 2: This syrup? Is that what you said? I think, so wow,

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Speaker 2: that's that's actually the saddest ship you say that.

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Speaker 1: Don't say that you're not.

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Speaker 2: I'm too sexy for this drug. I abuse too sexy

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Speaker 2: for sir. Okay, that's what's going on.

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Speaker 1: I haven't abused it to the point that I can't

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Speaker 1: pronounce words. I just like, I'm too sexy.

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Speaker 2: For I'm so sexy that I am. All I do

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Speaker 2: is drink from ethysine. That's how sexy I.

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Speaker 1: Am, how sexy. That's what I tried when they when

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Speaker 1: they were asking me if I was if I had

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Speaker 1: a problem, you know, I was like, I think you

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Speaker 1: might just be too sexy. Bro, might be too sexy

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Speaker 1: for this vodka. I'm drinking in my closet. It's so sexy, no.

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Speaker 2: Rationalization. I'm just just sexy for it. You've lost three

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Speaker 2: jobs consecutively because you keep sipping lean.

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Speaker 3: All right, Okay, Hello the Internet, and welcome to this

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Speaker 3: week trend edition of Dir Dally's Guys.

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Speaker 1: Yeah, yeah, oh you sound curious today. Yes, I'm curious.

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Speaker 1: My name is Jack O'Brien. Over there is my co host,

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Speaker 1: mister Miles Gray.

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Speaker 2: Wow. What a weekend. What a weekend?

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Speaker 1: What a weekend do you have?

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Speaker 2: What a weekend?

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Speaker 1: Yeah?

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Speaker 2: But also just like the news fucking sucks. It is

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Speaker 2: like that lady got you see the arrest in Woosh, Massachusetts,

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Speaker 2: Like the town came out to try and prevent ice

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Speaker 2: from taking this mother away, and then like the local

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Speaker 2: cops were in on it too, and you're like Jesus Christ,

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Speaker 2: and then you're like, yeah, Mother's Day, Mother's Day, everyone,

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Speaker 2: But yeah, good time, good time.

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Speaker 1: Seems bad I did, and.

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Speaker 2: This will go into my over under it, but yeah,

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Speaker 2: I think I did. I think I did pretty good

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Speaker 2: on Mother's Day.

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Speaker 1: Okay, yeah, yeah, yeah, yeah.

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Speaker 2: I think matter he didn't like to take where I said,

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Speaker 2: you know, without me, you wouldn't be a mother today.

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Speaker 2: That wasn't taken well. And then I was like, is

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Speaker 2: it wouldn't that be a bit someone would do.

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Speaker 1: There's a reason I didn't call out your ability to

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Speaker 1: get my jokes in this Mother's Day card.

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Speaker 2: There's it feels that feels like I was just jokingly

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Speaker 2: I did tell I was saying. I was like, I'm

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Speaker 2: surprised we don't see more like conservative like talker men

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Speaker 2: being like coming after Mother's day. Somehow that's where get

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Speaker 2: we're getting dangerously close if we're gonna completely discount everything

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Speaker 2: that like non men do. I feel like Mother's Day

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Speaker 2: might be might be happening, or it's just like the

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Speaker 2: one day where they're like, it's it's how I write

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Speaker 2: the wrongs of everything I do every.

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Speaker 1: Day right spiritually, it's how they get it off their check.

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Speaker 2: Just just be a good partner.

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Speaker 1: It is wild that because I get a lot my

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Speaker 1: kids are at the age where they're, uh, you know,

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Speaker 1: on a mother's or Father's Day, they they're wanting to

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Speaker 1: know what about Kid's Day, which does exist in Korea.

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Speaker 2: Yeah, and they have that in Japan too.

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Speaker 1: Yeah, yeah, I uh My My thing is always like, well,

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Speaker 1: every day is like kind of kids day, you know,

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Speaker 1: you get and then you get like your birthdays. And

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Speaker 1: but really, when you think about the fact that we

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Speaker 1: still have Father's Day, like kids deserve a day more

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Speaker 1: than fathers deserve a day. I feel like, in many ways.

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Speaker 2: Called their fucking birthday jack, Yeah, thank you, sorry. I'm like,

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Speaker 2: y'all don't deserve no fucking day. I would have answered

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Speaker 2: your kid like I did when my homegirl high school,

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Speaker 2: this white girl asked why it would be problem, why

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Speaker 2: there's if there's black entertainment television, why there's no white

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Speaker 2: entertainment television. And my answer was, look around, so that child,

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Speaker 2: where's Children's Day?

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Speaker 1: I say, look around, look around you. You don't got

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Speaker 1: to work, it's all yours. You just you just eat

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Speaker 1: and be merry. You should have children's Day where we

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Speaker 1: just make it so they see what it's like if

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Speaker 1: every day isn't Children's Day. Yeah, that's right.

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Speaker 2: Yeah, I'd be like, okay, son hop in the booth,

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Speaker 2: talk about the genocide and Gaza and uh the creepy no,

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Speaker 2: I mean fashion American fashions.

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Speaker 1: Go ahead, go go just nails it. Yeah, is better

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Speaker 1: than both of us.

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Speaker 2: The way his two year old articulated just the mara

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Speaker 2: of it all was I was in tears. Yeah.

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Speaker 1: All right, Well this is the episode where we cover

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Speaker 1: some of the news that happened over the weekend. We

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Speaker 1: also cover some things that we think are overrated underrated. Miles,

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Speaker 1: do you want to kick us off with something he

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Speaker 1: thinks underrated underrated? Yes?

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Speaker 2: First up, almond extract in your French toast. Go for it,

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Speaker 2: do it? Okay, I made a brioche French toast cast role.

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Speaker 2: It used a little vanilla extract to say, you know what,

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Speaker 2: Her majesty likes Almond, she likes you know, Marzapan, She's

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Speaker 2: down with that almond flavortle almond extract. Damn, just a

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Speaker 2: teaspoon and a half in there. So fucking I loved

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Speaker 2: like almond deep almond extract. Deflavor that in a fucking

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Speaker 2: French toast took it to the next level. So anyway,

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Speaker 2: just consider.

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Speaker 1: That kind of brand. You use it on your French toast.

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Speaker 2: Boche with that buttery bread, you know what I mean.

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Speaker 2: So it really just gets gooey delicious. The other one underrated.

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Speaker 2: Taking a full dryer load out with your arms in

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Speaker 2: one go, every single thing. Clean out the fucking dryer,

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Speaker 2: one go your goo. You're not dropping a sock, not

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Speaker 2: a fucking jack, not a single fucking no basket.

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Speaker 1: Underneath the basket, You're taking it and moving it to

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Speaker 1: the next location.

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Speaker 2: I'm like that former playmate Kendra Wilkinson after she got divorced,

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Speaker 2: no basket she was married to Hank basketball player.

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Speaker 1: Of course.

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Speaker 2: Of course, yeah, I'm Sands basket. I always have been,

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Speaker 2: even before the fire, even before even when we had

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Speaker 2: a laundry basket, I was all arms unload, ye, taking

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Speaker 2: that ship out. There's a science to it, okay, an art,

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Speaker 2: an intimate understanding between the rigidity of the fabrics, the gravity,

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Speaker 2: and your own capacity.

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Speaker 1: Allow.

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Speaker 2: Yeah, because sometimes you're like, oh, that was gonna flop over.

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Speaker 2: You're like, I'm a little bit more of an arm one.

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Speaker 1: Huh.

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Speaker 2: This one's thick. If I get enough of enough pressure

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Speaker 2: on it, that shit can hang off my arm and

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Speaker 2: it will not touch the ground. So is this just

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Speaker 2: another week where I did something unremarkable and I'm asking

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Speaker 2: for more race.

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Speaker 1: You for something, You're looking for some help.

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Speaker 2: In a weird coincidence? How come her majesty doesn't think

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Speaker 2: recovering from in your slip and emptying a dryer in

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Speaker 2: one go is unremarked? Why why is that? Yeah, that's

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Speaker 2: something to think about.

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Speaker 1: I just I don't I don't know. Is one of

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Speaker 1: your tactics that you don't use, uh fabric softener like

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Speaker 1: bounce sheets in the wash so that everything just sticks

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Speaker 1: together from static? Oh? Yeah, no static?

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Speaker 3: Uh?

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Speaker 2: The static actually isn't that bad to be honest.

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Speaker 1: Wait, you don't you don't use the bounce sheets.

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Speaker 2: I do sometimes when I have them. In this post

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Speaker 2: fire era, I've definitely gone to brass tacks. I'm like,

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Speaker 2: oh yeah, dry your sheets this seasoning.

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Speaker 1: Of I would sooner let the let the clothes mold,

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Speaker 1: then use it without dryer sheets.

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Speaker 2: Yeah, yeah, you know, it's it's all, it's all up

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Speaker 2: to you. It all works, it all works, but getting

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Speaker 2: it out that's satisfaction. Again, It's something shout to everybody.

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Speaker 2: I know people who regularly do this. You you know

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Speaker 2: that feeling, and I salute you to.

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Speaker 1: You get it to the next spot and just yeah,

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Speaker 1: drop it, just.

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Speaker 2: Drop it on the floor.

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Speaker 1: Done, you shout to your majesty. Wash is done.

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Speaker 2: Did you put them in the bathtub again? Yep? Damn.

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Speaker 1: Brian the editor is always coming with conspiracy theories that

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Speaker 1: I hadn't even thought about. Do dryer sheets even work?

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Speaker 1: What's the Isn't it just gas guards against static? And

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Speaker 1: it also like gives them a nice little freshness. In

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Speaker 1: my experience, they've worked. I've definitely noticed the difference where

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Speaker 1: they y, I guess, stick to your body.

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Speaker 2: I guess I don't have I guess in the arrow

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Speaker 2: when I wore a lot of like polyester fake fabrics

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Speaker 2: like shimmery basketball shorts. Yeah, that was pulling those shits

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Speaker 2: out of the dry and they're.

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Speaker 1: Just like just could power a small town for a

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Speaker 1: week after you get them out, like a defibrillator.

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Speaker 2: Just fucking go in there and pull two shorts apart

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Speaker 2: in a dryer and they'll give you requisite shock to

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Speaker 2: get your heart going.

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Speaker 1: Oh that's interesting. So Brian is Brian just doesn't get static,

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Speaker 1: and so that's why he doesn't believe in it. But

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Speaker 1: some of us are very staticky out here, and I

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Speaker 1: blame myself, all right, my underrated. I just so I

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Speaker 1: heard a podcast yesterday that kind of blew my mind.

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Speaker 1: It was an episode of the show search Engine. I

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Speaker 1: heard one and a half episodes of Search Engine. The

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Speaker 1: good one is responsible for my under and then the

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Speaker 1: bad one is responsible for my over so the under

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Speaker 1: like it was an episode about it was interviewing this guy.

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Speaker 1: Was his book Airborne Out that's about how we figured

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Speaker 1: out that viruses can travel in the air, like basically

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Speaker 1: what we now know about how COVID was transmitted. I

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Speaker 1: I thought we knew that shit. Like, I just felt

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Speaker 1: like my model of the world was always that, like

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Speaker 1: people sneeze virus gets in air and then like you

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Speaker 1: gotta hold your breath because we didn't have masks when

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Speaker 1: I was a kid. And but apparently like that was

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Speaker 1: even heading into the pandemic. That was like somewhat controversial,

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Speaker 1: and like the reason that the World Health Organization like

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Speaker 1: default went with like wash ear groceries was that they

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Speaker 1: were still unsure about the idea of like airborne disease

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Speaker 1: and like, I don't know like the pre so basically

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Speaker 1: they track like this. This idea was introduced in the

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Speaker 1: early twentieth century by this married couple that the idea

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Speaker 1: of like airborne viruses and like globules and you know,

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Speaker 1: all all the stuff that we now know about how

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Speaker 1: COVID traveled and like why I'm masking helped. But before that,

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Speaker 1: like this, before germ theory, the theory was miasma's which

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Speaker 1: is like bad air. It was like that, well, you

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Speaker 1: can't open your window if you're sick, because then the

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Speaker 1: bad air is going to travel in through your window

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Speaker 1: and kill you. Yes, it was you know, it was

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Speaker 1: dumb and incorrect, but so they like one of the

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Speaker 1: theories is that the like suggesting that illness traveled through

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Speaker 1: the air was seen as so stupid after that that

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Speaker 1: they were just like, yeah, we're not that that's stupid.

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Speaker 1: And so these people introduced the idea of like germs

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Speaker 1: being in the air and like kind of proved it

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Speaker 1: pretty definitively. But they were annoying. They were so annoying

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Speaker 1: like people, Yeah, they're just an They were like iconoclastic

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Speaker 1: and uh, you know, we're just suspicious of everybody, and

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Speaker 1: they basically their bad personalities. One of the theories goes

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Speaker 1: sets scientific and like you know, the study of how

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Speaker 1: disease spreads back like decades because there was just like nah,

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Speaker 1: fuck those people, and then like by the time, by

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Speaker 1: the time of like the aughts and even into the

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Speaker 1: like teens at the beginning of COVID, like their studies

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Speaker 1: were still like some of the best work that had

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Speaker 1: been done, but like you had to like call the

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Speaker 1: institution where they worked and have them like send you

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Speaker 1: photo copied pages of their work so that you could

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Speaker 1: like kind of uh do do your research and like

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Speaker 1: base it on that, and eventually they got like a

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Speaker 1: small uh following. But it's just one of those things

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Speaker 1: where like I feel like when I was like in

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Speaker 1: school growing up I was just like, we have everything

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Speaker 1: figured out, you know, we're we we know everything, like science,

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Speaker 1: science knows everything, case closed on everything, case closed exactly,

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Speaker 1: and that was incorrect and also like makes the world

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Speaker 1: seem less interesting than it actually is because you're just like,

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Speaker 1: oh whatever, like that seems like it seems like the

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Speaker 1: scientists have it figured out and yeah, and then here

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Speaker 1: we are there. We were in like twenty twenty, like

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Speaker 1: washing our groceries because a bunch of people didn't want

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Speaker 1: to believe that germs could like travel through the air.

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Speaker 1: And I just feel I feel like there's more ways

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Speaker 1: than we realized that people in the future will look

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Speaker 1: back on us and we'll look like, you know, the

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Speaker 1: The image that always comes to my mind is like

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Speaker 1: when people were like working out with that belt that

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Speaker 1: jiggles your belly around yep, yeah, while like smoking a cigarette,

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Speaker 1: like you know the Like that's what we're going to

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Speaker 1: look like in many ways in the future. Hopefully it's

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Speaker 1: because of like how on our phones we were, but

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Speaker 1: I think there's also other ways that we're kind of

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Speaker 1: in the dark ages that we probably don't understand or

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Speaker 1: appreciate fully. Down from the dark ages, in many areas

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Speaker 1: for sure.

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Speaker 2: Yeah. When you said wrote the book Airborne, I thought

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Speaker 2: you were referencing the nineteen ninety three movie about the

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Speaker 2: guy who had to move to Cincinnati and he's a

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Speaker 2: rollerblader and Seth Green, isn't it.

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Speaker 1: Yeah, yeah, I assumed they were the same thing. Is that?

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Speaker 1: Is that not what that movie is?

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Speaker 2: I was waiting for you to get to the part

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Speaker 2: about how he rollerbladed down Down.

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Speaker 1: He solves it by rollerblading. Yeah, Down one of the

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Speaker 1: few movies when that came out when I lived in Dayton,

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Speaker 1: I was like, that's fucking Ohio based movie. That's crazy.

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Speaker 2: But it's like that was shot in California.

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Speaker 1: Yeah, yeah, yeah, exactly, Oh those are the days. Yeah. Also,

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Speaker 1: the like interview with the guy, so this guy is

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Speaker 1: like maybe overboard in the like airborne direction.

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Speaker 2: Take place in for Cincinnati. Hey all right, they've shot

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Speaker 2: it there.

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Speaker 1: Yeah, there you go. And you could tell every every

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Speaker 1: shot of that was screening Cincinematic.

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Speaker 2: Yeah, when they were eating buckets of Skyline chili.

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Speaker 1: They have a great Octoberfest there if you ever need

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Speaker 1: a second specific for the city of Cincinnati. Great october Fest.

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Speaker 1: A lot of apple strudel and just a massive party there.

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Speaker 1: The guy who wrote the book and is I guess

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Speaker 1: he's like an epidemiologist. I don't know what exactly his

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Speaker 1: training is, but like he keeps he's just a roll.

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Speaker 2: Yeah, dude, I fucking killed Devil's Backs.

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Speaker 1: How I got interested in it was the movie Airborn,

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Speaker 1: and somehow that led me back. It was just a

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Speaker 1: big Michael Jordan fan, and then Seth Green movie and

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Speaker 1: then came about. But he carries a portable carbon monoxide

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Speaker 1: detector on him and basically this is something that I

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Speaker 1: always like suspected and like I'm gonna have to do

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Speaker 1: additional research. But his thing is that, like, as the

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Speaker 1: if you're in a room by yourself with the windows

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Speaker 1: and doors closed, the carbon monoxide levels are going to

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Speaker 1: go up and up, like very slowly and minimally because

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Speaker 1: you are exhaling. And it's like it's basically a measure

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Speaker 1: of how much of your breath is in the air

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Speaker 1: when you're measuring it. And he basically said that, like

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Speaker 1: he keeps this on him and if he's like on

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Speaker 1: a plane before they turn the air filters on, for instance,

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Speaker 1: or you know, just in a room like this reminded

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Speaker 1: me of when I was in classrooms when I was

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Speaker 1: a kid, and like they have all the doors and

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Speaker 1: windows closed, and like suddenly I'm like started, Like by

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Speaker 1: the end of it, I feel like I can barely

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Speaker 1: stay awake. That might have been because shit was but

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Speaker 1: it also might be because of all the breath that

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Speaker 1: was in the air. Is like you know, but anyways,

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Speaker 1: he was saying, you can see how much breath is

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Speaker 1: in the air with these little detectors and then like

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Speaker 1: once it gets above a certain level or he sees

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Speaker 1: it heading in that direct and he masks up, which

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Speaker 1: was interesting makes me fail.

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Speaker 2: Don't we exhale carbon dioxide?

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Speaker 1: What's what's the I think I think I said the

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Speaker 1: wrong thing. I always get those wrong. Carbon carbon dioxide whatever,

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Speaker 1: the one is that we exhale goes up.

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Speaker 2: Carbon is like the thing for your house, the.

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Speaker 1: Thing that kills you. Yeah, yeah, I think it's carbon dioxide.

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Speaker 1: Oh okay, okay, yeah, which doesn't kill you but does

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Speaker 1: make me sleepy.

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Speaker 2: I'm a big dioxide fan.

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Speaker 1: Yeah, so you're a big and I'm always trying to

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Speaker 1: give carbon monoxide credit for things.

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Speaker 2: You know, You're always like, yeah, plants need it to survive.

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Speaker 2: I'm like Jack, that's not the wrong one. Stop telling

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Speaker 2: your kids that they're gonna get bullied.

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Speaker 1: What is something, Miles, do you think is overrated?

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Speaker 2: Overrated? This goes back to Mother's Day overdoing it with

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Speaker 2: the flowers as a gift, Like, I think there is

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Speaker 2: a reflex in straight American men, yeah, to just buy

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Speaker 2: the fuck out of some flowers. Yeah, and it's like

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Speaker 2: the most thoughtless gift. I think if you know what

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Speaker 2: your partner.

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Speaker 1: Likes, by all means sure.

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Speaker 2: I've through trial and error. I started off like I

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Speaker 2: can I look like that that evolutionary chart where I

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Speaker 2: start off as like chro magnet flower giver man. Yeah,

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Speaker 2: but I'm like, here, twelve two dozen roses, Like dude,

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Speaker 2: what the fuck is this? How much did this cost?

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Speaker 2: I'm like they were a fucking oh I didn't even know,

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Speaker 2: and I would tell you the price, but I think

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Speaker 2: that's a bit ghost So I'm just gonna know.

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Speaker 1: So I think you would be mad at me.

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Speaker 2: Yeah, to the point where she's like I know what

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Speaker 2: a dozen costs? Like this is such I remember I

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Speaker 2: remember getting it just immediately like this is not a

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Speaker 2: good gift, and not like in a fuck you kind

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Speaker 2: of way. I'm just like, let me ed you, edutain

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Speaker 2: you for a second. Just because they were expensive doesn't

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Speaker 2: mean I'm gonna like them. And I also realized her

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Speaker 2: Majesty loves like wild flowers like she likes. So I

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Speaker 2: went to the floorist and I went I was like,

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Speaker 2: where are your like wildflowers out They're like in there,

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Speaker 2: They're like put together whatever you want. You can walk

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Speaker 2: out here for like thirty bucks, and I was like,

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Speaker 2: whatever I want. He's like, yeah, if it's just if

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Speaker 2: it's just like the wildflower stuff, go ahead.

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Speaker 1: And just pick that shit off the side of the highway,

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Speaker 1: broke as you want this.

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Speaker 2: And then this other dude comes in, sweaty, slicked back hair,

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Speaker 2: looks like a total piece of shit, like middle aged

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Speaker 2: dude like me and a Meati is like I need

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Speaker 2: three dozen. He came in like out three three dozen

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Speaker 2: red roses.

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Speaker 1: I really fucked up this time.

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Speaker 2: It was so like his energy. I didn't want to be.

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Speaker 2: I didn't like, obviously there could be nuanced to his story.

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Speaker 2: Maybe they're three people. But then I kept listening and

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Speaker 2: they're like separate. He's like, no, I just need one

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Speaker 2: big bouquet three dozen red roses as quick as you

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Speaker 2: can as you can, and I'm like, what the fuck

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Speaker 2: is this guy going through? And I just I'm just thinking,

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Speaker 2: you know, as as you you know, this is part

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Speaker 2: of like understanding your partner more. You don't you don't

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Speaker 2: just get the big stupid boot k of flowers, because

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Speaker 2: that's not always what they want for me. It's like,

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Speaker 2: you need some wildflowers. Her Massey likes card, likes food.

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Speaker 2: I like to cook, and I've really doubted in before,

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Speaker 2: like I would try and go overboard with like the gifts,

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Speaker 2: because I would be like, I don't know what to do,

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Speaker 2: rather than again, yeah to express, yeah, yeah, yeah. It's like, okay,

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Speaker 2: if you don't like this Michael Jordan life size cutout,

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Speaker 2: you're gonna like this locket engraved with our son's initials

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Speaker 2: or this French toast.

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Speaker 1: I don't know this locket engraved with Michael Jordan's initials, right, right,

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Speaker 1: Jeffrey Jordan.

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Speaker 2: Yeah, So I just say, you know, just a little

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Speaker 2: thought goes a long way. Just the empty gesture of

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Speaker 2: just pulling up with an seen bouquet of flowers is

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Speaker 2: such a dult. It's it doesn't always work. It doesn't

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Speaker 2: always work, and in fact, most of the time they're like,

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Speaker 2: I would have rather you spent that same amount of

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Speaker 2: money on like anything else. Yeah, the flowers that are

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Speaker 2: are will look nice, obviously, but then they they go

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Speaker 2: away real quick.

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Speaker 1: I usually try and get some nice flowers that are

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Speaker 1: you know, I have a sense of what my wife likes.

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Speaker 1: But this year, uh, you know, some family sent some flowers,

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Speaker 1: so we had a lot of flowers already, so I

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Speaker 1: was like, fortunately, I wasn't like relying on that to

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Speaker 1: be the only thing.

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Speaker 2: Yeah, they're like, hey, babe, four pound bag of shredded cheddar.

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Speaker 2: Pretty cool?

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Speaker 1: What do you think of that?

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Speaker 2: That? What do you think of Mother's Day? No?

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00:21:28,880 --> 00:21:30,399
Speaker 1: Yeah, no, I was just joking.

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Speaker 2: Let me go get the real one really quick. I'll

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Speaker 2: be back at forty five minutes.

399
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Speaker 1: Tires screeching.

400
00:21:38,359 --> 00:21:38,800
Speaker 2: All right.

401
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Speaker 1: My overrated is horseshoe theory. Have you have you heard

402
00:21:43,600 --> 00:21:45,920
Speaker 1: centrist talk talk horseshoe theory?

403
00:21:47,560 --> 00:21:50,680
Speaker 2: So far one direction you end up? Yeah? Yeah, man.

404
00:21:51,000 --> 00:21:54,640
Speaker 1: The guys are always never never used to talk about

405
00:21:54,680 --> 00:21:58,800
Speaker 1: people on the right. It's almost always used to talk

406
00:21:58,800 --> 00:22:02,439
Speaker 1: about how people on the left are actually crazy. Uh,

407
00:22:02,720 --> 00:22:05,479
Speaker 1: and they're actually just as bad as Donald Trump if

408
00:22:05,520 --> 00:22:09,119
Speaker 1: you think about it, Yeah, And I don't know, Like

409
00:22:09,320 --> 00:22:13,800
Speaker 1: so this podcast Search Engine like had a good original

410
00:22:14,080 --> 00:22:18,000
Speaker 1: you know, interview with that guy who wrote Airborne, and

411
00:22:18,040 --> 00:22:20,919
Speaker 1: then the next episode was about Crypto, and I was like,

412
00:22:20,960 --> 00:22:25,000
Speaker 1: maybe they can like make some sense of Crypto and

413
00:22:25,080 --> 00:22:27,159
Speaker 1: like with what's going on with that, But they just

414
00:22:27,200 --> 00:22:31,440
Speaker 1: like brought NPR's Planet Money in to do it, and

415
00:22:32,240 --> 00:22:36,680
Speaker 1: these guys were just not it for me, and they

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Speaker 1: I don't know, they kept like they just casually were

417
00:22:41,680 --> 00:22:44,520
Speaker 1: like I think they were talking about a joke that's

418
00:22:44,560 --> 00:22:47,479
Speaker 1: so unfunny that it becomes funny, and they were like,

419
00:22:47,520 --> 00:22:51,520
Speaker 1: it's like a meme horseshoe theory because like the ends

420
00:22:51,520 --> 00:22:54,520
Speaker 1: of the Spectrum meet up. But it's just like I

421
00:22:54,640 --> 00:22:57,719
Speaker 1: realized like that for some reason, that was the final straw,

422
00:22:57,840 --> 00:23:00,760
Speaker 1: and I was just like these motherfuckers just like saying

423
00:23:00,880 --> 00:23:04,480
Speaker 1: horseshoe theory when it's like, no matter what they just think,

424
00:23:04,800 --> 00:23:09,280
Speaker 1: they think it makes them sound smart. It's fucking stupid.

425
00:23:09,440 --> 00:23:13,040
Speaker 1: It's just a way for centrists to feel like they're

426
00:23:13,080 --> 00:23:17,119
Speaker 1: superior over people who aren't centrists, and they keep bringing

427
00:23:17,119 --> 00:23:20,760
Speaker 1: it up at a time when the only thing that's

428
00:23:20,800 --> 00:23:24,159
Speaker 1: going to save US is people to the left of

429
00:23:24,280 --> 00:23:29,680
Speaker 1: them actually making progress, and you know they just think

430
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Speaker 1: everything the left of Joe Biden is dangerous.

431
00:23:32,240 --> 00:23:35,000
Speaker 2: I mean it's pretty convenient. So it's like, oh, okay,

432
00:23:35,080 --> 00:23:37,479
Speaker 2: well you're just like them now because you're just like

433
00:23:37,800 --> 00:23:42,200
Speaker 2: the health care Yeah, you know, they're advocating for cut

434
00:23:42,359 --> 00:23:49,080
Speaker 2: Medicaid cuts like every Okay, yeah, I so wanting everyone

435
00:23:49,160 --> 00:23:53,320
Speaker 2: to have everything is the same as wanting only white,

436
00:23:53,440 --> 00:24:00,359
Speaker 2: straight people to have everything. Only yeah, not even them,

437
00:24:00,680 --> 00:24:04,119
Speaker 2: Like they don't even get universal healthcare, just won't be

438
00:24:04,160 --> 00:24:06,000
Speaker 2: on the receiving end of the government's violence.

439
00:24:06,040 --> 00:24:09,080
Speaker 1: I guess, yeah, but I don't know. It's again, like

440
00:24:09,119 --> 00:24:11,480
Speaker 1: they weren't even talking about it in that respect, but

441
00:24:11,560 --> 00:24:15,840
Speaker 1: it just feels like I've heard enough people say it

442
00:24:16,320 --> 00:24:18,800
Speaker 1: in that in that world that I'm just like, God,

443
00:24:18,840 --> 00:24:24,160
Speaker 1: they fucking they just can't get else. Also, that's their

444
00:24:24,240 --> 00:24:27,000
Speaker 1: like scientific accounting of how comedy works in an episode

445
00:24:27,000 --> 00:24:30,320
Speaker 1: where they repeatedly are like doing that. I'm also just

446
00:24:30,400 --> 00:24:33,359
Speaker 1: over like punning like that in a New York Times

447
00:24:33,440 --> 00:24:35,240
Speaker 1: article that we're going to cover later on, Like there

448
00:24:35,320 --> 00:24:38,639
Speaker 1: was like a paved the way in an article about

449
00:24:39,400 --> 00:24:44,280
Speaker 1: town design, and they were like, no, pun intented just

450
00:24:44,320 --> 00:24:48,000
Speaker 1: like these fucking people that yeah, or they were like

451
00:24:48,080 --> 00:24:50,359
Speaker 1: you to speak, I think they did a so to speak.

452
00:24:50,520 --> 00:24:53,680
Speaker 2: Oh god, yeah, just fucking say it and it's fine.

453
00:24:54,520 --> 00:24:57,040
Speaker 2: It's also it's not I'm not alright with it.

454
00:24:57,200 --> 00:25:00,760
Speaker 1: Go out of the way to take that. Yeah, paved

455
00:25:00,760 --> 00:25:08,240
Speaker 1: the way and everything. I'm anti thinking that you've done

456
00:25:08,359 --> 00:25:11,960
Speaker 1: something when you've done a little pun that like thinking.

457
00:25:11,680 --> 00:25:14,080
Speaker 2: That that's comedy. Would you have been fine if they

458
00:25:14,200 --> 00:25:16,040
Speaker 2: just used and then and then they've paved the way

459
00:25:16,040 --> 00:25:18,879
Speaker 2: for other things? Totally fine sentence. Yeah, don't don't stop

460
00:25:19,119 --> 00:25:23,200
Speaker 2: in the way doing the big Catherine Han wink.

461
00:25:23,400 --> 00:25:23,600
Speaker 1: Yeah.

462
00:25:23,640 --> 00:25:27,280
Speaker 2: Yeah, why is that image printed in the middle of

463
00:25:27,280 --> 00:25:28,040
Speaker 2: this sentence?

464
00:25:28,440 --> 00:25:31,920
Speaker 1: Yeah, but yeah, it's it's all like it's just such

465
00:25:32,400 --> 00:25:35,760
Speaker 1: like it's because the horseshoe in question is like a

466
00:25:36,400 --> 00:25:39,520
Speaker 1: plotted on a graph, so it feels smart and it's

467
00:25:39,600 --> 00:25:42,360
Speaker 1: just like no, like none of it. It's it's stupid.

468
00:25:42,760 --> 00:25:46,800
Speaker 1: It's very not nuanced, and it's like exactly wrong at

469
00:25:46,800 --> 00:25:50,440
Speaker 1: this point in history to be talking to be repeatedly

470
00:25:50,720 --> 00:25:52,760
Speaker 1: bring it up even when it like doesn't make sense

471
00:25:52,800 --> 00:25:55,800
Speaker 1: to bring it up. Very frustrating. Shut the fuck up,

472
00:25:56,160 --> 00:25:58,760
Speaker 1: all right, Let's take a quick break. We'll come back

473
00:25:59,080 --> 00:26:12,679
Speaker 1: and we'll talk about some news, and we're back. We're back,

474
00:26:13,000 --> 00:26:14,600
Speaker 1: and so are the markets.

475
00:26:14,800 --> 00:26:21,479
Speaker 2: Maybe sweet for the moment, maybe for the moment. You know, Trump,

476
00:26:21,920 --> 00:26:25,160
Speaker 2: we always say he's pump vacan he's trump vacant, and

477
00:26:25,560 --> 00:26:29,159
Speaker 2: that's what we're getting again with the fucking tariff wars,

478
00:26:29,200 --> 00:26:32,920
Speaker 2: trade wars. So we just Scott word that the tariffs

479
00:26:32,920 --> 00:26:37,600
Speaker 2: will be paused for ninety days between the US and China,

480
00:26:37,640 --> 00:26:41,560
Speaker 2: and Trump is claiming victory somehow. But the pause again

481
00:26:41,600 --> 00:26:45,960
Speaker 2: will impose a mere thirty percent duty on goods from China,

482
00:26:46,160 --> 00:26:49,639
Speaker 2: down from one hundred and forty five percent, and China

483
00:26:49,680 --> 00:26:52,080
Speaker 2: will reduce its tariffs on products made in the USA

484
00:26:52,400 --> 00:26:55,480
Speaker 2: to ten percent from one hundred and twenty five percent.

485
00:26:55,680 --> 00:26:58,720
Speaker 2: So basically they're both like, okay, we can let's dial

486
00:26:58,800 --> 00:27:04,480
Speaker 2: tariffs back by one hundred and fifteen percent. We were

487
00:27:04,520 --> 00:27:07,320
Speaker 2: really getting wild there for a second. Oh guys, all right, well,

488
00:27:07,400 --> 00:27:10,760
Speaker 2: let's let's knock that off. And China was clear like

489
00:27:10,840 --> 00:27:14,320
Speaker 2: this really isn't a deal. They're just like this is stupid,

490
00:27:15,160 --> 00:27:17,919
Speaker 2: And Scott Bessett was also basically kind of saying similar thing,

491
00:27:17,920 --> 00:27:20,639
Speaker 2: although trying to make it feel dally basically saying like

492
00:27:21,080 --> 00:27:25,600
Speaker 2: the two economic powers were just reaffirming that completely decoupling

493
00:27:25,640 --> 00:27:29,680
Speaker 2: their economies would not be good for literally the entire

494
00:27:29,760 --> 00:27:34,360
Speaker 2: earth economy somehow. So yeah, I mean, China isn't doing

495
00:27:34,400 --> 00:27:37,159
Speaker 2: anything to change any of the policies Trump has been

496
00:27:37,280 --> 00:27:40,439
Speaker 2: yelling about. So this is a very trumpy deal in

497
00:27:40,480 --> 00:27:43,520
Speaker 2: that he overplayed his hand, had way too much dip

498
00:27:43,600 --> 00:27:46,520
Speaker 2: on his chip that the chip broke. Then he starts

499
00:27:46,520 --> 00:27:48,439
Speaker 2: putting his fingers in the dip bowl trying to get

500
00:27:48,480 --> 00:27:50,280
Speaker 2: it out, and then when someone catches him, he's like, yeah,

501
00:27:50,280 --> 00:27:54,840
Speaker 2: it's all good. I never wanted anything anyway, swish yeah,

502
00:27:54,880 --> 00:27:57,359
Speaker 2: And he's like, yeah, I saved it. You have not.

503
00:27:57,840 --> 00:28:00,680
Speaker 2: You have not. If anything, we're still work soft than

504
00:28:00,800 --> 00:28:03,960
Speaker 2: before you were here. So nothing is objectively better.

505
00:28:04,560 --> 00:28:09,399
Speaker 1: The level and like depth of ass kissing is really

506
00:28:09,480 --> 00:28:13,399
Speaker 1: like that, that's been the I can't quite get my

507
00:28:13,480 --> 00:28:15,800
Speaker 1: mind around it, but it's got to be changing things

508
00:28:15,880 --> 00:28:21,080
Speaker 1: so drastically inside like how everything works. Like there's a

509
00:28:21,160 --> 00:28:23,800
Speaker 1: New Yorker article that was like looking at just like

510
00:28:24,000 --> 00:28:27,040
Speaker 1: all these people whose careers are just to flatter Trump

511
00:28:27,200 --> 00:28:30,440
Speaker 1: now in the Washington d C. And I feel like

512
00:28:30,480 --> 00:28:34,920
Speaker 1: that's just fucking everybody at this point, like it's just creating,

513
00:28:35,440 --> 00:28:39,600
Speaker 1: like including the olive arcs, Like everybody is just building

514
00:28:39,640 --> 00:28:42,280
Speaker 1: this reality where he can claim W's you.

515
00:28:42,240 --> 00:28:44,400
Speaker 2: Know, I wonder if the next president is just gonna

516
00:28:44,440 --> 00:28:48,120
Speaker 2: be someone who's so well built to kiss ass, because

517
00:28:48,120 --> 00:28:53,840
Speaker 2: that's just the new dynamic that exists in Washington. But yeah,

518
00:28:54,320 --> 00:28:57,440
Speaker 2: this is just everyone is praising it, like on Fox

519
00:28:57,480 --> 00:28:59,760
Speaker 2: and stuff, and then occasionally you get like the China

520
00:29:00,360 --> 00:29:03,040
Speaker 2: who are like this, I can't believe he blinked, He

521
00:29:03,120 --> 00:29:05,920
Speaker 2: blinked again, He blinked again. Because some people were so

522
00:29:06,160 --> 00:29:09,400
Speaker 2: horny to watch the economy completely collapse in like service

523
00:29:09,440 --> 00:29:15,440
Speaker 2: of like this absolutely inane economic policy. But I think

524
00:29:15,560 --> 00:29:18,040
Speaker 2: the people with a lot of money won this round.

525
00:29:18,080 --> 00:29:20,640
Speaker 2: I think because everyone was yelling at Scott Besant to

526
00:29:20,680 --> 00:29:24,720
Speaker 2: do something and people I guess helped. But yeah, so,

527
00:29:24,880 --> 00:29:26,600
Speaker 2: I mean again, the trouble is, we're all going to

528
00:29:26,640 --> 00:29:29,600
Speaker 2: still see higher prices, and many companies have already been

529
00:29:29,640 --> 00:29:33,000
Speaker 2: preemptively warning their customers that like higher prices are on

530
00:29:33,160 --> 00:29:37,560
Speaker 2: the way due to tariffs, and so this may call markets,

531
00:29:37,600 --> 00:29:40,160
Speaker 2: you know, the markets for a few days or weeks,

532
00:29:40,200 --> 00:29:43,280
Speaker 2: but regular people are still at the mercy of corporate greed,

533
00:29:44,040 --> 00:29:46,760
Speaker 2: will who will be using tariffs as like a fig leaf.

534
00:29:46,920 --> 00:29:51,280
Speaker 1: Apple is still considering whether to raise prices on iPhones

535
00:29:51,600 --> 00:29:54,080
Speaker 1: just they're like I don't know, Like now, we're like

536
00:29:54,760 --> 00:29:58,280
Speaker 1: he made the fucking charts, so like what we might

537
00:29:58,320 --> 00:30:01,080
Speaker 1: as well just like keep the price is there? Nothing

538
00:30:01,720 --> 00:30:03,120
Speaker 1: bad is going to happen there.

539
00:30:04,040 --> 00:30:06,360
Speaker 2: That's like the thing all the companies are talking about

540
00:30:06,400 --> 00:30:07,760
Speaker 2: right now in tournal. It's like, you think we can

541
00:30:07,840 --> 00:30:10,360
Speaker 2: get away from putting another five or seven percent?

542
00:30:10,440 --> 00:30:13,680
Speaker 1: Yeah, And anytime they have, they just raised the fucking price. Yeah,

543
00:30:13,680 --> 00:30:15,800
Speaker 1: any like news story that they can get behind and

544
00:30:15,800 --> 00:30:19,800
Speaker 1: be like, well, obviously it was the pandemic, and it

545
00:30:19,880 --> 00:30:25,320
Speaker 1: was the war in Ukraine because wars have never happened before,

546
00:30:25,880 --> 00:30:28,760
Speaker 1: and uh, you know, now it's going to be the

547
00:30:29,000 --> 00:30:32,160
Speaker 1: tariffs is going to be their excuse to raise prices

548
00:30:32,160 --> 00:30:33,960
Speaker 1: even if they economically don't need to.

549
00:30:34,320 --> 00:30:36,720
Speaker 2: And they will not. No one will actually point a

550
00:30:36,760 --> 00:30:39,400
Speaker 2: finger at Trump. If anything, they'll they'll kiss his ass

551
00:30:39,400 --> 00:30:40,960
Speaker 2: and cover for him. When people are like what the

552
00:30:41,000 --> 00:30:44,160
Speaker 2: fuck is going on, They're like, sorry, we hear at Walmart.

553
00:30:44,200 --> 00:30:48,360
Speaker 2: Believe it's the immigrants that is actually raising prices on you.

554
00:30:48,520 --> 00:30:52,320
Speaker 1: Yeah, it's it is interesting about like who's going to

555
00:30:52,760 --> 00:30:56,760
Speaker 1: like there's got to be some good reporting coming about

556
00:30:56,800 --> 00:31:00,480
Speaker 1: like what exactly is going on in the court, the

557
00:31:00,560 --> 00:31:04,080
Speaker 1: royal court of the Trump administration, Like to your point

558
00:31:04,160 --> 00:31:07,760
Speaker 1: about like if the person who takes power next, because

559
00:31:07,760 --> 00:31:09,400
Speaker 1: it's not gonna be a Democrat, it's gonna be just

560
00:31:09,440 --> 00:31:13,440
Speaker 1: whoever Trump decides to let be the next Republican candidate.

561
00:31:14,560 --> 00:31:19,200
Speaker 1: You know khrush Jeff, have you seen the Death of Stalin? No? Yeah,

562
00:31:19,240 --> 00:31:22,160
Speaker 1: So it's like about Stalin's like royal court and like, ye,

563
00:31:22,640 --> 00:31:27,280
Speaker 1: the Steve Bushemi plays Nikita Khrushchev, who was like one

564
00:31:27,320 --> 00:31:32,560
Speaker 1: of the inner circle for Stalin, and he's both really

565
00:31:32,600 --> 00:31:35,960
Speaker 1: like good at kissing ass and then like Stalin used

566
00:31:35,960 --> 00:31:38,520
Speaker 1: to just like make everybody around him get like shit faced,

567
00:31:38,880 --> 00:31:41,840
Speaker 1: like for his amusement, like drink until they threw up,

568
00:31:42,240 --> 00:31:45,120
Speaker 1: and Khrushchev would like come home at the end of

569
00:31:45,240 --> 00:31:45,760
Speaker 1: the drinking.

570
00:31:45,840 --> 00:31:46,520
Speaker 2: I mean in the movie.

571
00:31:46,560 --> 00:31:49,000
Speaker 1: I don't know how historically accurate it is, but like

572
00:31:49,080 --> 00:31:51,800
Speaker 1: he would come home and like tell his wife everything

573
00:31:51,840 --> 00:31:54,080
Speaker 1: that happened so he didn't forget it, and like they

574
00:31:54,080 --> 00:31:56,160
Speaker 1: would like write down notes so they were just like

575
00:31:56,200 --> 00:32:00,400
Speaker 1: the best at like playing this weird game essentially a

576
00:32:00,480 --> 00:32:03,880
Speaker 1: drinking game. Yes, stay on top of your shit, and

577
00:32:03,920 --> 00:32:05,880
Speaker 1: like he'd be like, okay, so then he said this,

578
00:32:06,040 --> 00:32:09,080
Speaker 1: and like I'm not sure exactly why he was going

579
00:32:09,120 --> 00:32:12,320
Speaker 1: in that direction, you know, but it's all just stupid

580
00:32:12,600 --> 00:32:16,480
Speaker 1: fucking maneuvering for the pleasure of the emperor is basically

581
00:32:16,480 --> 00:32:19,760
Speaker 1: what what the future of this country? And like who's

582
00:32:19,760 --> 00:32:22,640
Speaker 1: in power, and like what happens comes down to.

583
00:32:23,720 --> 00:32:25,440
Speaker 2: Look at him and look and then he got to

584
00:32:25,480 --> 00:32:26,000
Speaker 2: take over.

585
00:32:26,320 --> 00:32:29,680
Speaker 1: Yeah that's right. And then yeah, so Khrushchev then eventually

586
00:32:29,680 --> 00:32:33,120
Speaker 1: becomes the leader of Russia during the Cold War, big

587
00:32:33,200 --> 00:32:34,080
Speaker 1: chunk of the Cold War.

588
00:32:34,240 --> 00:32:35,880
Speaker 2: Oh you love to see it all right?

589
00:32:35,960 --> 00:32:37,400
Speaker 1: Yeah, So I wanted to talk about this New York

590
00:32:37,440 --> 00:32:42,920
Speaker 1: Times article that is about a small town called like

591
00:32:43,080 --> 00:32:46,000
Speaker 1: could de Sac Tempe I think, or tempe Cul de Sac.

592
00:32:46,080 --> 00:32:49,520
Speaker 1: It's like a small town outside of Phoenix that is

593
00:32:49,560 --> 00:32:55,200
Speaker 1: specifically planned to be car free and they got a

594
00:32:55,760 --> 00:32:59,840
Speaker 1: bypass from the city to not have to like provide

595
00:33:00,160 --> 00:33:04,479
Speaker 1: X number of parking spots per resident, which we've covered before,

596
00:33:04,520 --> 00:33:07,680
Speaker 1: like in trying to build out like cities that aren't

597
00:33:07,760 --> 00:33:10,240
Speaker 1: just designed for cars. That's like a big thing that

598
00:33:10,280 --> 00:33:13,000
Speaker 1: comes up is like minimum parking requirements is like what

599
00:33:13,160 --> 00:33:14,960
Speaker 1: they have to deal with. They got to bypass to

600
00:33:15,000 --> 00:33:20,000
Speaker 1: like build this small town, and it's just there's no parking.

601
00:33:21,040 --> 00:33:26,680
Speaker 1: There's some like wide pathways that you can the emergency

602
00:33:26,720 --> 00:33:29,240
Speaker 1: vehicles can drive down, but for the most part, the

603
00:33:29,320 --> 00:33:33,960
Speaker 1: whole city is like designed for pedestrians, like with humans

604
00:33:34,040 --> 00:33:34,760
Speaker 1: in minds.

605
00:33:34,640 --> 00:33:37,760
Speaker 2: Like Europe, Yeah, yeah, exactly. Like when you look at

606
00:33:37,760 --> 00:33:40,440
Speaker 2: how the buildings are all oriented, you're like, oh, this

607
00:33:40,520 --> 00:33:43,760
Speaker 2: feels very European, where everything is just kind of all

608
00:33:43,880 --> 00:33:46,320
Speaker 2: very centrally located. Yeahind of vertical.

609
00:33:46,240 --> 00:33:49,080
Speaker 1: Modeled on towns in Italy and Greece built long before

610
00:33:49,120 --> 00:33:51,840
Speaker 1: the advent of cars. Cul de Sac Tempe is what

611
00:33:51,880 --> 00:33:55,360
Speaker 1: its developers called the country's first neighborhood purposely built to

612
00:33:55,400 --> 00:33:58,560
Speaker 1: be car free and you know, good for the climate,

613
00:33:59,280 --> 00:34:03,480
Speaker 1: but also like good for people's health, good for people's happiness.

614
00:34:04,160 --> 00:34:07,720
Speaker 1: It is kind of funny that they and that they

615
00:34:07,760 --> 00:34:10,160
Speaker 1: say that like it can drive low cost of living,

616
00:34:10,320 --> 00:34:13,160
Speaker 1: low cost of government. It's funny that the New York

617
00:34:13,160 --> 00:34:16,280
Speaker 1: Times is like treating this like a revelation when they

618
00:34:16,719 --> 00:34:20,120
Speaker 1: like New York is a massive example of this, or

619
00:34:20,160 --> 00:34:25,000
Speaker 1: like a place where people happily live without cars because

620
00:34:25,080 --> 00:34:28,799
Speaker 1: there's public transit, and like they pay a massive premium

621
00:34:28,880 --> 00:34:31,279
Speaker 1: to live in a place like that, where you just

622
00:34:31,320 --> 00:34:34,520
Speaker 1: like are on top of each other. And that's like

623
00:34:34,560 --> 00:34:37,040
Speaker 1: I've always thought that, like this also has something to

624
00:34:37,120 --> 00:34:40,280
Speaker 1: do with you know, we've talked about post apocalyptic movies,

625
00:34:40,800 --> 00:34:43,840
Speaker 1: like you know, being a fantasy of like people not

626
00:34:44,239 --> 00:34:49,200
Speaker 1: having cars anymore, where you just everybody's walking and everybody's

627
00:34:49,239 --> 00:34:52,160
Speaker 1: like living in small communities right on top of each other,

628
00:34:53,160 --> 00:34:55,600
Speaker 1: or you know, I think a lot of people like that.

629
00:34:56,040 --> 00:34:58,400
Speaker 1: There's a tweet that I remember seeing, but that is

630
00:34:58,400 --> 00:35:01,000
Speaker 1: along the same lines of like people who think they

631
00:35:01,080 --> 00:35:03,840
Speaker 1: like loved college and don't realize it's because it's the

632
00:35:03,880 --> 00:35:06,759
Speaker 1: only time that they were like in a walkable environment

633
00:35:06,920 --> 00:35:09,759
Speaker 1: where you don't need a car, like people who like

634
00:35:09,800 --> 00:35:13,239
Speaker 1: live on college campuses. And you know, it's also why

635
00:35:13,239 --> 00:35:15,759
Speaker 1: people join cults or become Disney adults. You know, we

636
00:35:15,920 --> 00:35:20,120
Speaker 1: like to be in these little places where you walk

637
00:35:20,160 --> 00:35:21,320
Speaker 1: down the middle of the street.

638
00:35:21,400 --> 00:35:21,640
Speaker 2: Yeah.

639
00:35:21,719 --> 00:35:22,800
Speaker 1: Yeah. Cruise ships.

640
00:35:22,840 --> 00:35:25,200
Speaker 2: I have the same feeling about cruise ships. And I'm like,

641
00:35:25,680 --> 00:35:27,920
Speaker 2: as a kid, I like was obsessed with them, and

642
00:35:27,960 --> 00:35:30,080
Speaker 2: then I went a couple of times as an adult,

643
00:35:30,239 --> 00:35:33,399
Speaker 2: like in my twenties and early thirties, and I always remember, like, oh,

644
00:35:33,400 --> 00:35:38,000
Speaker 2: it's because I can walk fucking everywhere. Yeah, like, yeah,

645
00:35:38,120 --> 00:35:41,800
Speaker 2: I think that's what Americans whenever they go somewhere where

646
00:35:41,840 --> 00:35:42,600
Speaker 2: they can do.

647
00:35:42,640 --> 00:35:45,120
Speaker 1: That, like, yeah, like old cities built before a car.

648
00:35:45,719 --> 00:35:46,319
Speaker 2: I love this.

649
00:35:46,480 --> 00:35:49,960
Speaker 1: It's so charming. I don't know what it's about. Yeah,

650
00:35:50,160 --> 00:35:53,480
Speaker 1: there's even that part in I'm adding Shawshank to this

651
00:35:53,880 --> 00:35:58,000
Speaker 1: because so one of the things that they talk about

652
00:35:58,360 --> 00:36:01,239
Speaker 1: is like they have there a twenty four year old

653
00:36:01,360 --> 00:36:04,040
Speaker 1: woman who is living there on her own for the

654
00:36:04,040 --> 00:36:06,200
Speaker 1: first time. She's been able to live without assistance of

655
00:36:06,239 --> 00:36:09,840
Speaker 1: family and friends because she's blind, and she's able to

656
00:36:09,920 --> 00:36:11,680
Speaker 1: because she's like, I don't know, and in order to

657
00:36:11,680 --> 00:36:13,680
Speaker 1: like have a good time, I don't have to cross

658
00:36:13,719 --> 00:36:14,160
Speaker 1: the street.

659
00:36:14,400 --> 00:36:17,719
Speaker 2: It's just wow, right, yeah, yeah, that's not something I

660
00:36:17,760 --> 00:36:18,520
Speaker 2: have to think about, right.

661
00:36:18,560 --> 00:36:20,120
Speaker 1: Yeah, it's not something you have to think about. It

662
00:36:20,120 --> 00:36:22,520
Speaker 1: like reminds me like that that is the one of

663
00:36:22,520 --> 00:36:26,160
Speaker 1: the parts of Shawshank that sticks with me, which the

664
00:36:26,239 --> 00:36:28,520
Speaker 1: reason I'm like emphasizing it. Shashank is like one of

665
00:36:28,560 --> 00:36:31,880
Speaker 1: the most popular movie like people like rate it so

666
00:36:32,000 --> 00:36:35,640
Speaker 1: highly and it was just like massively popular in the nineties.

667
00:36:35,920 --> 00:36:40,240
Speaker 1: But it has this like small community obviously living like together,

668
00:36:40,320 --> 00:36:43,200
Speaker 1: and it's like there are horrifying aspects of it, but

669
00:36:43,239 --> 00:36:45,719
Speaker 1: I think there it's also a fantasy of living in

670
00:36:45,800 --> 00:36:49,719
Speaker 1: a community without cars. And when like the guy gets out,

671
00:36:49,920 --> 00:36:52,560
Speaker 1: he like immediately almost gets hit by a car, right,

672
00:36:52,640 --> 00:36:55,399
Speaker 1: and like you're like Jesus, yeah, he's like everybody went

673
00:36:55,440 --> 00:36:58,319
Speaker 1: and got into a big damn hurry. And I do

674
00:36:58,440 --> 00:37:01,040
Speaker 1: think like that part hits so hard, and that movie

675
00:37:01,120 --> 00:37:05,239
Speaker 1: hits so hard because again, just as the children long

676
00:37:05,320 --> 00:37:08,439
Speaker 1: for the minds, I think I think the people long

677
00:37:08,600 --> 00:37:12,440
Speaker 1: for you know, small communities where you don't where you

678
00:37:12,440 --> 00:37:14,520
Speaker 1: could just like let your kids run and not worry

679
00:37:14,520 --> 00:37:17,239
Speaker 1: about them getting hit by a car, or like you

680
00:37:17,280 --> 00:37:19,960
Speaker 1: don't have to get in a car and like feel

681
00:37:19,960 --> 00:37:22,279
Speaker 1: like you're in mad Max all of a sudden to

682
00:37:22,640 --> 00:37:24,440
Speaker 1: just like go to the grocery store.

683
00:37:24,480 --> 00:37:27,719
Speaker 2: You know, right. It is so different when, especially when

684
00:37:27,719 --> 00:37:31,280
Speaker 2: you go abroad and you realize energetically how different people

685
00:37:31,320 --> 00:37:33,319
Speaker 2: are when they think about their kids going out and

686
00:37:33,360 --> 00:37:36,200
Speaker 2: having like doing shit out in the world. Yeah, because

687
00:37:36,239 --> 00:37:40,000
Speaker 2: like in Europe like places that stuff like central squares,

688
00:37:40,320 --> 00:37:42,319
Speaker 2: Like you'll go, It'll be like nine at night. There's

689
00:37:42,320 --> 00:37:44,239
Speaker 2: a bunch of kids like running around just having a

690
00:37:44,280 --> 00:37:46,600
Speaker 2: good time. And yeah, their parents like it's because they

691
00:37:46,640 --> 00:37:48,840
Speaker 2: all probably live around the fucking corner and this is

692
00:37:48,880 --> 00:37:51,759
Speaker 2: just built so differently and I don't have all my

693
00:37:51,880 --> 00:37:55,000
Speaker 2: fear of like gun violence and whatever the fuck going on.

694
00:37:55,040 --> 00:37:56,680
Speaker 2: They're like, is it safe for these.

695
00:37:58,200 --> 00:38:01,359
Speaker 1: Yeah, let the kids, Brian the editor, saying, the kids

696
00:38:01,400 --> 00:38:04,640
Speaker 1: are out at midnight in Mexico City, Like, yeah.

697
00:38:04,480 --> 00:38:07,200
Speaker 2: That's when I was in Italy. Man, the kids are

698
00:38:07,239 --> 00:38:09,080
Speaker 2: out so late that I was like, well, these kids

699
00:38:09,120 --> 00:38:13,880
Speaker 2: are fucking cooler than me. And they're right small cigarettes.

700
00:38:13,760 --> 00:38:17,960
Speaker 1: Cigarettes in second grade. Like I don't know, such as life,

701
00:38:18,000 --> 00:38:20,840
Speaker 1: you know. But yeah. The article says not having to

702
00:38:20,880 --> 00:38:25,760
Speaker 1: factor in residential parking allowed its architects to configure buildings

703
00:38:25,840 --> 00:38:29,440
Speaker 1: to maximize shade and to design narrow pathways that encourage

704
00:38:29,480 --> 00:38:33,680
Speaker 1: breezes and social engagement. The pedestrian is really the primary person,

705
00:38:33,880 --> 00:38:37,120
Speaker 1: the figure that you're developing for, said Alexander Vundeling, the

706
00:38:37,239 --> 00:38:40,880
Speaker 1: lead architect on the project. Big expanses of glass were askewed,

707
00:38:41,560 --> 00:38:45,120
Speaker 1: awnings added over sunfacing windows and native plants and trees

708
00:38:45,120 --> 00:38:47,480
Speaker 1: put in for cooling shade it. But just like the

709
00:38:47,560 --> 00:38:51,799
Speaker 1: idea and this is like this kept popping in my

710
00:38:51,840 --> 00:38:54,920
Speaker 1: head during like when New York was doing the congestion

711
00:38:55,040 --> 00:38:58,160
Speaker 1: pricing and everyone was like kind of freaking out and

712
00:38:58,200 --> 00:39:00,799
Speaker 1: being like they can't take our cars. But it's like,

713
00:39:01,560 --> 00:39:06,120
Speaker 1: just it's so abnormal for anybody to do an idea

714
00:39:06,200 --> 00:39:10,319
Speaker 1: that is designed for people and not cars and not businesses.

715
00:39:10,560 --> 00:39:13,440
Speaker 1: It's like that that is a radical thing. And it

716
00:39:13,640 --> 00:39:16,359
Speaker 1: seems like if you just ask somebody to come in

717
00:39:16,400 --> 00:39:18,280
Speaker 1: fresh and be like, so, how should we like design

718
00:39:18,320 --> 00:39:20,640
Speaker 1: these communities that we live in, like it would take

719
00:39:20,680 --> 00:39:23,520
Speaker 1: them so long to get to the bad idea of like,

720
00:39:23,560 --> 00:39:26,839
Speaker 1: well you need to design everything for cars and businesses,

721
00:39:26,960 --> 00:39:30,480
Speaker 1: like obviously the obvious idea is like just design it

722
00:39:30,560 --> 00:39:33,440
Speaker 1: for people to like live close to each other.

723
00:39:33,520 --> 00:39:35,120
Speaker 2: It was like maybe we're like in this new era

724
00:39:35,200 --> 00:39:39,399
Speaker 2: because we've gone so astray from recognizing people's needs that

725
00:39:39,560 --> 00:39:41,720
Speaker 2: with this one neat trick, like.

726
00:39:43,640 --> 00:39:45,839
Speaker 1: Companies to want you to know about it were like.

727
00:39:45,920 --> 00:39:47,520
Speaker 2: Dude, this is the greatest place to live ever, like

728
00:39:47,560 --> 00:39:51,200
Speaker 2: everyone's now moving to these car free places. Yeah. Wow,

729
00:39:51,280 --> 00:39:53,920
Speaker 2: Well I remember seeing when this thing was first like

730
00:39:53,960 --> 00:39:57,760
Speaker 2: an idea and before it got built, And it's interesting

731
00:39:57,800 --> 00:40:00,719
Speaker 2: to see now that it's like sort of pretty much

732
00:40:00,719 --> 00:40:03,200
Speaker 2: in full swing now that like at least from like

733
00:40:03,280 --> 00:40:05,360
Speaker 2: this article on another one I saw in Dwell, like

734
00:40:05,440 --> 00:40:08,240
Speaker 2: it seems people are enjoying it. Yeah.

735
00:40:08,280 --> 00:40:11,800
Speaker 1: One of the people who like moved there not intending

736
00:40:11,840 --> 00:40:13,600
Speaker 1: to like get away from cars, they had to. They

737
00:40:13,600 --> 00:40:15,040
Speaker 1: were like, eh, I guess, I mean the rent is

738
00:40:15,080 --> 00:40:17,200
Speaker 1: good and like it's it would be a good place

739
00:40:17,239 --> 00:40:20,400
Speaker 1: to like kind of start our family. And they like

740
00:40:20,480 --> 00:40:22,880
Speaker 1: had to give their car away and they had to

741
00:40:22,920 --> 00:40:27,239
Speaker 1: like weigh that when they were deciding. Just they're like, yeah,

742
00:40:27,239 --> 00:40:30,560
Speaker 1: I mean it's a community like people you can like

743
00:40:30,640 --> 00:40:33,080
Speaker 1: literally like borrow a cup of sugar from your neighbors,

744
00:40:33,160 --> 00:40:36,480
Speaker 1: like you see your neighbors all the time. When their

745
00:40:36,600 --> 00:40:39,719
Speaker 1: daughter was born, three different families brought a meal or

746
00:40:39,800 --> 00:40:42,759
Speaker 1: dropped off cookies or offered to go buy them groceries.

747
00:40:43,840 --> 00:40:45,319
Speaker 1: It's just feels.

748
00:40:45,120 --> 00:40:48,400
Speaker 2: Like we have to like build Disneylands for getting back

749
00:40:48,440 --> 00:40:50,160
Speaker 2: into some sense of community.

750
00:40:50,400 --> 00:40:52,839
Speaker 1: But like I think that's what Disneyland is is like

751
00:40:53,200 --> 00:40:53,799
Speaker 1: longing for.

752
00:40:54,400 --> 00:40:56,239
Speaker 2: But like this I'm saying that, like this is a

753
00:40:56,440 --> 00:40:59,200
Speaker 2: I mean like a purpose built thing for us to

754
00:40:59,680 --> 00:41:02,200
Speaker 2: exact ignite our sense of Community's like, I think that's it.

755
00:41:02,280 --> 00:41:05,000
Speaker 2: We were unable to do it, and I mean people

756
00:41:05,120 --> 00:41:07,520
Speaker 2: are able to do it, but because of the sprawl

757
00:41:07,560 --> 00:41:09,680
Speaker 2: and things are sort of are hardwiring. It's like, I

758
00:41:09,719 --> 00:41:13,640
Speaker 2: don't know, man, this we're all just disparate, siloed off

759
00:41:13,520 --> 00:41:15,920
Speaker 2: if we're not connected. And then you're like, oh, this

760
00:41:16,080 --> 00:41:19,480
Speaker 2: place it's built for me to remind myself that community

761
00:41:19,520 --> 00:41:21,960
Speaker 2: is like a thing that we earned for perfect Why would.

762
00:41:21,719 --> 00:41:24,040
Speaker 1: A place where people live be built for people. I

763
00:41:24,080 --> 00:41:28,080
Speaker 1: don't understand that. That's crazy. It's crazy to me. Miles.

764
00:41:28,280 --> 00:41:30,080
Speaker 2: Yeah, I do just have to uh.

765
00:41:30,160 --> 00:41:32,040
Speaker 1: First of all, I'm gonna shout out, you know, great

766
00:41:32,120 --> 00:41:36,360
Speaker 1: great article from the New York Times, Kara Buckley, shout

767
00:41:36,360 --> 00:41:39,920
Speaker 1: out to care for reporting it. I do have to

768
00:41:39,960 --> 00:41:42,160
Speaker 1: read the part I was talking about earlier, and mister

769
00:41:42,280 --> 00:41:45,520
Speaker 1: Effort of Strong Towns said cul de Sac Tempee could

770
00:41:45,600 --> 00:41:49,279
Speaker 1: pave the way as it were for similar car free developments.

771
00:41:49,600 --> 00:41:51,680
Speaker 1: You just didn't need that as it were. It were

772
00:41:51,960 --> 00:41:54,000
Speaker 1: just cut that as it were. I feel like maybe

773
00:41:54,200 --> 00:41:55,960
Speaker 1: the editors at the New York I'm gonna blame the

774
00:41:56,040 --> 00:41:58,840
Speaker 1: editors at the New York Times and not yeah, the author,

775
00:41:58,960 --> 00:42:00,239
Speaker 1: because it was that Kara buck Glee.

776
00:42:00,280 --> 00:42:03,080
Speaker 2: He said, this is the name of it, the journalist. Yeah,

777
00:42:03,200 --> 00:42:04,680
Speaker 2: that wasn't on Kara, that was the.

778
00:42:04,719 --> 00:42:09,200
Speaker 1: Editor, as it were, uh not intended.

779
00:42:10,040 --> 00:42:14,960
Speaker 2: That's exactly now that you're saying it. It's so smug annoying.

780
00:42:15,040 --> 00:42:18,640
Speaker 2: I fucking don't it sounds like some asshole reading the

781
00:42:18,640 --> 00:42:21,400
Speaker 2: New York Times that I hate. Yeah, like that they

782
00:42:21,440 --> 00:42:23,759
Speaker 2: would that it would almost be like that as it wasn't.

783
00:42:23,800 --> 00:42:25,840
Speaker 2: There's like pave the way and they would lower the

784
00:42:25,880 --> 00:42:28,719
Speaker 2: paper and look at their like partner, go as it were,

785
00:42:29,920 --> 00:42:32,400
Speaker 2: and then lift the paperback and keep reading it like

786
00:42:32,440 --> 00:42:35,240
Speaker 2: you shit the fuck up. Just read about these carless

787
00:42:35,239 --> 00:42:36,319
Speaker 2: cities and how we need them.

788
00:42:36,600 --> 00:42:39,360
Speaker 1: That's right, all right, let's take a quick break and

789
00:42:39,360 --> 00:42:41,799
Speaker 1: we'll come back and cover some of the other things

790
00:42:41,800 --> 00:42:53,399
Speaker 1: that are happening. We'll be back, and we're back.

791
00:42:53,560 --> 00:42:54,080
Speaker 2: We're back.

792
00:42:54,320 --> 00:42:58,480
Speaker 1: And Trump just did something that, you know, a less

793
00:42:59,160 --> 00:43:03,040
Speaker 1: up and up, less trustworthy president might might seem a

794
00:43:03,080 --> 00:43:08,000
Speaker 1: little suspicious. He just did something that, uh seems like,

795
00:43:08,520 --> 00:43:10,799
Speaker 1: you know, if if he weren't totally on the up

796
00:43:10,800 --> 00:43:14,000
Speaker 1: and up, which he totally is you know, uh, like,

797
00:43:14,280 --> 00:43:16,799
Speaker 1: you know, he's just that it's just a gift. The

798
00:43:16,840 --> 00:43:18,760
Speaker 1: plane is a normal gift.

799
00:43:18,800 --> 00:43:20,400
Speaker 2: Just a gift, it's normal plane.

800
00:43:20,520 --> 00:43:22,799
Speaker 1: He Uh so he got a lot of money from

801
00:43:22,920 --> 00:43:27,720
Speaker 1: like the tech world, and uh, the US Copyright Office

802
00:43:28,360 --> 00:43:33,080
Speaker 1: just released the third part of a report that uh

803
00:43:33,360 --> 00:43:38,919
Speaker 1: ask some questions about how AI just takes copyright copyrighted

804
00:43:39,000 --> 00:43:40,919
Speaker 1: work and like dozens.

805
00:43:43,400 --> 00:43:46,960
Speaker 2: Companies. Yeah, yeah, yeah, yea, yeah yeah yeah. Nothing to

806
00:43:46,960 --> 00:43:47,839
Speaker 2: see here, nothing to see here.

807
00:43:47,840 --> 00:43:51,040
Speaker 1: It seems like it's just training it on work that

808
00:43:51,560 --> 00:43:55,919
Speaker 1: no artists who are not paid that well.

809
00:43:55,960 --> 00:44:00,239
Speaker 2: To begin with the GIBLI stuff, we told chapt go

810
00:44:00,280 --> 00:44:03,759
Speaker 2: to animation school in fucking knuckle down. That's right, and

811
00:44:03,880 --> 00:44:06,920
Speaker 2: don't come back till you can do flawless recreations of

812
00:44:07,000 --> 00:44:15,440
Speaker 2: Miyazaki style animation. Okay, So, among many government departments that

813
00:44:15,480 --> 00:44:18,160
Speaker 2: Trump seems to be trying to overthrow, he fired the

814
00:44:18,360 --> 00:44:21,560
Speaker 2: head of the US Copyright Office after that report came out.

815
00:44:22,200 --> 00:44:26,000
Speaker 2: Perhaps not coincidentally, this happened right after she issued part

816
00:44:26,040 --> 00:44:30,560
Speaker 2: three of a lengthy report about AI, which, as we said,

817
00:44:30,640 --> 00:44:34,239
Speaker 2: expressed some concerns and questions about the usage of copyrighted

818
00:44:34,280 --> 00:44:38,720
Speaker 2: material by AI technology. The draft notes The generative AI

819
00:44:38,800 --> 00:44:42,560
Speaker 2: systems draw on massive troves of data, including copyrighted works,

820
00:44:42,880 --> 00:44:45,799
Speaker 2: and asks do any of the acts involved require the

821
00:44:45,840 --> 00:44:49,919
Speaker 2: copyright owners consent or compensation? No?

822
00:44:50,520 --> 00:44:53,439
Speaker 1: It also like asks like do we need this shit

823
00:44:53,640 --> 00:44:58,359
Speaker 1: at all? At one point they're just like, why what

824
00:44:58,400 --> 00:45:02,240
Speaker 1: good is this other than removing Like truly, the only

825
00:45:02,320 --> 00:45:05,440
Speaker 1: business purpose of this is removing the need to pay

826
00:45:05,480 --> 00:45:08,480
Speaker 1: the artist, Like that, that's it, because otherwise you just

827
00:45:08,520 --> 00:45:11,719
Speaker 1: pay them to do the thing that you're asking them

828
00:45:11,760 --> 00:45:14,400
Speaker 1: to do. Now, I get so hostile when I see

829
00:45:14,440 --> 00:45:17,560
Speaker 1: people putting like, clearly AI generally.

830
00:45:18,000 --> 00:45:21,160
Speaker 2: Oysters are just stuff to promote their work, or like

831
00:45:21,239 --> 00:45:24,759
Speaker 2: a deck that has clearly made by AI, Like I

832
00:45:24,800 --> 00:45:27,719
Speaker 2: don't know why. My instant reactions like the fuck are

833
00:45:27,760 --> 00:45:28,400
Speaker 2: you thinking?

834
00:45:28,719 --> 00:45:33,600
Speaker 1: Just fucking the fucker shrippery.

835
00:45:33,080 --> 00:45:36,359
Speaker 2: Fucking slope and now we're not paying artists.

836
00:45:35,880 --> 00:45:40,279
Speaker 1: So making Generative AI more vulnerable to copyright lawsuits, you know,

837
00:45:40,400 --> 00:45:43,839
Speaker 1: due to all the copyrighted material that it actually like

838
00:45:43,880 --> 00:45:47,480
Speaker 1: directly steals from, would get in the way of his

839
00:45:47,640 --> 00:45:49,839
Speaker 1: plan to pay back all the tech companies that Bank

840
00:45:49,880 --> 00:45:53,800
Speaker 1: World is campaigned, which has already resulted in five hundred

841
00:45:53,840 --> 00:45:58,440
Speaker 1: billion dollars of investment in an AI infrastructure project called Stargate.

842
00:45:58,760 --> 00:46:02,000
Speaker 2: Mmmm, well, did you walk through the stargate and stay there?

843
00:46:02,360 --> 00:46:05,319
Speaker 2: That's right, and don't come back and don't bring back

844
00:46:05,360 --> 00:46:07,279
Speaker 2: whatever the fucks on the other side of that thing

845
00:46:07,320 --> 00:46:07,799
Speaker 2: over here.

846
00:46:08,080 --> 00:46:11,799
Speaker 1: Well, so stargate. Did you watch Stargate? I saw that

847
00:46:11,840 --> 00:46:13,200
Speaker 1: in theaters when I was a kid.

848
00:46:14,320 --> 00:46:16,520
Speaker 2: Stargt g one, the TV show No.

849
00:46:17,040 --> 00:46:21,279
Speaker 1: Yeah, yeah, I organized a viewing of the TV show No,

850
00:46:21,440 --> 00:46:24,239
Speaker 1: the Kurt Russell movie, And I don't think I ever

851
00:46:24,320 --> 00:46:26,840
Speaker 1: got my head around, like is it a parallel dimension

852
00:46:26,880 --> 00:46:29,040
Speaker 1: that it's going back too, or was it time traveling

853
00:46:29,040 --> 00:46:31,920
Speaker 1: to actual ancient Egypt? And it's like the premise that

854
00:46:32,040 --> 00:46:35,680
Speaker 1: like Egyptians couldn't have built that ship by themselves, had

855
00:46:35,680 --> 00:46:36,520
Speaker 1: to be Aliens.

856
00:46:36,680 --> 00:46:41,680
Speaker 2: It was definitely uh, Egypt coded, but they were considered

857
00:46:41,800 --> 00:46:43,319
Speaker 2: like intergalactic.

858
00:46:43,520 --> 00:46:45,640
Speaker 1: Okay, yeah, it was a wormhole.

859
00:46:45,800 --> 00:46:50,480
Speaker 2: So it was like they were able to exactly holes.

860
00:46:50,560 --> 00:46:53,120
Speaker 2: If you had a stargate. I had a stargate, we

861
00:46:53,200 --> 00:46:54,320
Speaker 2: could stargate.

862
00:46:54,239 --> 00:46:56,520
Speaker 1: That's right, you know, hit me up on hit me

863
00:46:56,560 --> 00:46:57,920
Speaker 1: up on my stargate later.

864
00:46:58,760 --> 00:47:01,840
Speaker 2: And I'll bring my stargate and we could be stargate.

865
00:47:02,200 --> 00:47:05,759
Speaker 1: But for they by creating the TV show after the

866
00:47:05,800 --> 00:47:09,839
Speaker 1: fact that had the guy from mcgiver in the Kurt

867
00:47:09,920 --> 00:47:13,520
Speaker 1: Russell role. I have completely replaced Kurt Russell in the

868
00:47:13,560 --> 00:47:16,279
Speaker 1: movie in my memory of the movie with mcgiver, so

869
00:47:17,719 --> 00:47:20,320
Speaker 1: just because they both have the same kind of blonde,

870
00:47:20,719 --> 00:47:25,359
Speaker 1: dirty blonde mullet. But anyways, that's what that's what they

871
00:47:25,440 --> 00:47:32,000
Speaker 1: named their AI Moonshot project after five hundred billion dollars

872
00:47:32,719 --> 00:47:35,360
Speaker 1: so that you know they can.

873
00:47:35,680 --> 00:47:37,520
Speaker 2: Is this comes out of time to where a lot

874
00:47:37,560 --> 00:47:40,920
Speaker 2: of people are questioning if chat GPT got worse. It

875
00:47:41,400 --> 00:47:43,240
Speaker 2: was like, yeah, I know, but I'm saying it dropped

876
00:47:43,360 --> 00:47:46,480
Speaker 2: part four it was worse. And then everyone's like, what's

877
00:47:46,560 --> 00:47:49,200
Speaker 2: this ship? Like how far this is? Like worse than

878
00:47:49,239 --> 00:47:50,799
Speaker 2: like three iterations.

879
00:47:50,880 --> 00:47:54,239
Speaker 1: Imagine if if they dropped an iPhone and then had

880
00:47:54,280 --> 00:47:56,840
Speaker 1: to pull it off of the market because it was

881
00:47:56,920 --> 00:47:59,560
Speaker 1: worse than the iPhone.

882
00:47:59,200 --> 00:48:02,920
Speaker 2: iPhone seven team never mind, y'all were y'all fucking with

883
00:48:03,000 --> 00:48:05,520
Speaker 2: the Apple five? Right?

884
00:48:05,800 --> 00:48:10,359
Speaker 1: What they did the thing as we talked about last week,

885
00:48:10,480 --> 00:48:14,560
Speaker 1: they they dropped it. So this is a technology that

886
00:48:14,640 --> 00:48:17,040
Speaker 1: the whole claim is that it's going to be advancing

887
00:48:17,080 --> 00:48:19,360
Speaker 1: so so fast, like we can't keep up, and like

888
00:48:19,440 --> 00:48:21,360
Speaker 1: it's scary how fast it is going to be advancing.

889
00:48:21,560 --> 00:48:24,080
Speaker 1: And they dropped their latest version and it was worse

890
00:48:24,120 --> 00:48:27,600
Speaker 1: than the previous version, and they admitted it and took

891
00:48:27,640 --> 00:48:30,600
Speaker 1: it off like they took it back. They were like,

892
00:48:30,840 --> 00:48:34,279
Speaker 1: our bad that so yeah, that that would be my

893
00:48:35,760 --> 00:48:40,520
Speaker 1: admit it. That would be my clue that things might

894
00:48:40,560 --> 00:48:43,600
Speaker 1: not be as they're suggesting. They are that open air.

895
00:48:43,719 --> 00:48:47,240
Speaker 1: Of course, the company that has the most much dumping

896
00:48:47,360 --> 00:48:52,000
Speaker 1: buckets of money and energy into this ship. Yeah.

897
00:48:52,400 --> 00:48:55,359
Speaker 2: I mean they're trying to get every last dime they

898
00:48:55,360 --> 00:48:58,640
Speaker 2: can before the fucking like Indiana Jones trying to snatch

899
00:48:58,640 --> 00:49:00,440
Speaker 2: his hat before the gate shuts up on him. He's

900
00:49:00,440 --> 00:49:04,239
Speaker 2: like last bit of money by you'll never see me again.

901
00:49:04,600 --> 00:49:07,080
Speaker 1: On the plus side, firing the head of copyright office,

902
00:49:07,120 --> 00:49:10,560
Speaker 1: I think means we just get a full you know,

903
00:49:11,239 --> 00:49:14,120
Speaker 1: fair use purge where we can just like show Mickey

904
00:49:14,120 --> 00:49:17,920
Speaker 1: Mouse doing whatever we want to play in full songs

905
00:49:17,960 --> 00:49:23,400
Speaker 1: on the that's right by the most litigious artists.

906
00:49:23,680 --> 00:49:27,319
Speaker 2: Yep, we're gonna be playing Eminem on a loop.

907
00:49:27,320 --> 00:49:28,920
Speaker 1: That's right, Yeah, yeah, Eminem.

908
00:49:28,960 --> 00:49:32,640
Speaker 2: I guess wasn't that weren't they like when he played

909
00:49:32,680 --> 00:49:38,920
Speaker 2: a Mom's Spaghetti remix what they're like, it's a fucking

910
00:49:39,520 --> 00:49:41,279
Speaker 2: all the lyrics are moms spaghetti.

911
00:49:41,560 --> 00:49:44,200
Speaker 1: Yeah, well they don't listen. They just have AI that's

912
00:49:44,239 --> 00:49:47,359
Speaker 1: combing the internet. And see, so don't say, don't act

913
00:49:47,400 --> 00:49:49,920
Speaker 1: like AI hasn't done anything for us.

914
00:49:50,040 --> 00:49:52,560
Speaker 2: Yeah, only AI. We fun with. His last name is Iverson.

915
00:49:52,880 --> 00:49:54,719
Speaker 2: That's right, Okay, all right?

916
00:49:54,760 --> 00:49:58,200
Speaker 1: And finally, uh, you know, we talked last week. The

917
00:49:58,239 --> 00:50:03,480
Speaker 1: Pope is Americans. Big news. He's from Chicago. People. The

918
00:50:03,520 --> 00:50:07,239
Speaker 1: two baseball teams of Chicago got got into it over

919
00:50:07,280 --> 00:50:10,800
Speaker 1: the weekend trying to claim him because the Cubs claimed

920
00:50:10,840 --> 00:50:16,040
Speaker 1: him first as their Oh you know, really, yeah, they're pontiff.

921
00:50:16,440 --> 00:50:18,080
Speaker 2: With what with what did they what did they? What

922
00:50:18,120 --> 00:50:19,280
Speaker 2: did they base that off? There?

923
00:50:19,480 --> 00:50:23,200
Speaker 1: There was an ABC report that claimed he was a

924
00:50:23,239 --> 00:50:28,840
Speaker 1: Cubs fan. Well you're fired because it turns out that,

925
00:50:29,320 --> 00:50:34,040
Speaker 1: you know, further reporting, his brother John Prevost said he

926
00:50:34,280 --> 00:50:38,560
Speaker 1: was never ever a Cubs fan and was really a

927
00:50:38,600 --> 00:50:43,160
Speaker 1: White Sox fan, and that led to the team, the

928
00:50:43,480 --> 00:50:48,360
Speaker 1: White Sox, posting their own, you know, post about the

929
00:50:48,400 --> 00:50:51,880
Speaker 1: Pope's fandom, and then people like started scouring the internet.

930
00:50:51,960 --> 00:50:55,400
Speaker 1: They found photos of the Pope at the two thousand

931
00:50:55,440 --> 00:50:58,560
Speaker 1: and five World Series, he's like, in the background of

932
00:50:58,600 --> 00:51:00,960
Speaker 1: this one picture just on a cell phone back in

933
00:51:01,000 --> 00:51:04,360
Speaker 1: two thousand and five. This guy's making moves. What was

934
00:51:04,360 --> 00:51:06,120
Speaker 1: it Who was he on the phone with? That's a

935
00:51:06,120 --> 00:51:06,640
Speaker 1: great question.

936
00:51:07,560 --> 00:51:09,799
Speaker 2: I have to assume. God right, he looks like he's

937
00:51:09,840 --> 00:51:12,279
Speaker 2: moving weight. I don't know why, but he's just like.

938
00:51:12,560 --> 00:51:14,759
Speaker 1: He smiles and looking off in the middle distance on

939
00:51:15,280 --> 00:51:18,680
Speaker 1: a Nokia, you know. And then he was shown on

940
00:51:18,800 --> 00:51:23,000
Speaker 1: camera during the game, which I love. Look what we

941
00:51:23,040 --> 00:51:26,680
Speaker 1: can do as an as a national internet.

942
00:51:26,719 --> 00:51:29,040
Speaker 2: How the fuck did someone find that?

943
00:51:29,360 --> 00:51:30,600
Speaker 1: I know, that's impressive.

944
00:51:31,200 --> 00:51:35,440
Speaker 2: Did somebody have that on like in a binder already

945
00:51:35,560 --> 00:51:37,919
Speaker 2: ready to go or with someone like now, I'm gonna

946
00:51:38,000 --> 00:51:40,960
Speaker 2: call him through every Cubs broadcast game to see if

947
00:51:41,000 --> 00:51:42,920
Speaker 2: I can catch the now Pope.

948
00:51:43,320 --> 00:51:45,239
Speaker 1: And then and the commentary team is like, look at

949
00:51:45,239 --> 00:51:47,200
Speaker 1: that guy. That guy looks like that guy could be

950
00:51:47,360 --> 00:51:48,080
Speaker 1: Pope one day.

951
00:51:48,280 --> 00:51:50,680
Speaker 2: Yeah, yeah, real right, young man, keep your head down.

952
00:51:50,719 --> 00:51:53,560
Speaker 2: We're rooting for you, Pope. Let's just call him Leo

953
00:51:53,680 --> 00:51:54,200
Speaker 2: the fourteen.

954
00:51:54,400 --> 00:51:54,720
Speaker 1: Maybe.

955
00:51:54,760 --> 00:51:56,520
Speaker 2: I don't know, we'll see, we'll see where this goes.

956
00:51:56,680 --> 00:51:58,880
Speaker 2: I just love though too, that like, because you know,

957
00:51:59,719 --> 00:52:03,439
Speaker 2: for there's such a divide between Cubs fans and white

958
00:52:03,480 --> 00:52:05,719
Speaker 2: Sox fans, and a lot of people just presume that

959
00:52:05,800 --> 00:52:08,960
Speaker 2: the default Chicago in is a Cubs fan. Yeah, but

960
00:52:09,000 --> 00:52:11,279
Speaker 2: a lot of it's like geography, class and all these

961
00:52:11,280 --> 00:52:13,040
Speaker 2: other things. Race can plain to it because like my

962
00:52:13,160 --> 00:52:16,440
Speaker 2: family from Chicago, all white Sox fans. Whites are not

963
00:52:16,560 --> 00:52:19,719
Speaker 2: Clubs fans. They are not Cubs fans. And it's just

964
00:52:19,760 --> 00:52:22,719
Speaker 2: interesting that, like I wonder if that ABC persons like, yeah,

965
00:52:22,760 --> 00:52:25,520
Speaker 2: he's probably he loves base he's from Chicago, he's a

966
00:52:25,560 --> 00:52:28,560
Speaker 2: Cubs fan. And then the brother goes, he was never.

967
00:52:28,600 --> 00:52:31,040
Speaker 1: He was never a Cubs.

968
00:52:32,400 --> 00:52:35,280
Speaker 2: Don't ever fucking besmirch the pope's.

969
00:52:34,960 --> 00:52:39,600
Speaker 1: Name, like that unbelievable. He so, by the way, so

970
00:52:39,880 --> 00:52:42,880
Speaker 1: he was at the two thousand and five World Series,

971
00:52:43,760 --> 00:52:49,720
Speaker 1: which the White Sox won, because the Pope presumably enlisted

972
00:52:49,760 --> 00:52:53,920
Speaker 1: angels to sabotage the other team. I like, yeah, in

973
00:52:53,960 --> 00:52:56,279
Speaker 1: his arms, that's what they should have gotten footage of

974
00:52:56,520 --> 00:53:00,240
Speaker 1: doing the angel wing flap front Angels.

975
00:52:59,600 --> 00:53:03,520
Speaker 2: And the use ai doctor and image where he's calling

976
00:53:03,560 --> 00:53:06,080
Speaker 2: the Angels to fucking do that, or someone get a

977
00:53:06,080 --> 00:53:07,040
Speaker 2: real actor to portray him.

978
00:53:07,040 --> 00:53:09,920
Speaker 1: But yeah, but some people are claiming that the Cubs

979
00:53:09,960 --> 00:53:13,560
Speaker 1: since the Cubs falsely claimed he's a Cubs fan. They

980
00:53:13,680 --> 00:53:18,359
Speaker 1: then lost on Friday, which fucking lie on the PA.

981
00:53:18,360 --> 00:53:21,400
Speaker 1: Don't like that, Yeah, man, what are you doing? They

982
00:53:21,480 --> 00:53:24,440
Speaker 1: then won the next day. I will also say, if

983
00:53:24,480 --> 00:53:28,920
Speaker 1: we're going with the theory that he's intervening on behalf

984
00:53:29,040 --> 00:53:33,040
Speaker 1: of the White Sox. The White Sox were so so

985
00:53:33,120 --> 00:53:37,080
Speaker 1: far this season. They're twelve and twenty nine. They're coming

986
00:53:37,120 --> 00:53:40,400
Speaker 1: off one of the worst seasons in the history of

987
00:53:41,360 --> 00:53:45,160
Speaker 1: Major League Baseball or the Papacy, Like almost the worst

988
00:53:45,239 --> 00:53:48,120
Speaker 1: baseball season of all time. They were in the running,

989
00:53:48,920 --> 00:53:52,120
Speaker 1: like I'm not a baseball fan and the only things

990
00:53:52,400 --> 00:53:57,560
Speaker 1: I knew about last season were Shoho Tani is good

991
00:53:57,960 --> 00:54:02,439
Speaker 1: and the White Sox are historically right. Like they would

992
00:54:02,440 --> 00:54:05,680
Speaker 1: open Sports Center with clips of them fucking up, Like

993
00:54:05,760 --> 00:54:08,480
Speaker 1: that's how bad they were. Like, the White Sox are

994
00:54:08,520 --> 00:54:12,400
Speaker 1: at it again. Look a look at this masterful fuck up,

995
00:54:13,360 --> 00:54:15,440
Speaker 1: which only suggests that the Pope took his eye off

996
00:54:15,480 --> 00:54:18,520
Speaker 1: the ball for too long and he was busy controlling

997
00:54:18,560 --> 00:54:23,000
Speaker 1: things with his mind so he could become pope. But

998
00:54:23,120 --> 00:54:26,960
Speaker 1: now that he has a direct line to God, you know,

999
00:54:27,280 --> 00:54:30,840
Speaker 1: you gotta think now that he's secured that with whatever

1000
00:54:30,880 --> 00:54:33,319
Speaker 1: he was doing last year. You know, maybe he had

1001
00:54:33,320 --> 00:54:36,960
Speaker 1: to you know, probably like allow a bad White Sox

1002
00:54:37,000 --> 00:54:39,200
Speaker 1: season so he should could get repaid.

1003
00:54:39,480 --> 00:54:39,719
Speaker 2: Uh.

1004
00:54:40,200 --> 00:54:42,799
Speaker 1: You know, I don't know about the exact dealings that

1005
00:54:42,880 --> 00:54:43,920
Speaker 1: got him to be the pope.

1006
00:54:44,760 --> 00:54:47,239
Speaker 2: Nine game win streaks.

1007
00:54:47,680 --> 00:54:50,600
Speaker 1: They are two and two since he was named. Okay,

1008
00:54:51,080 --> 00:54:55,319
Speaker 1: so you don't want it to be too obvious, right, Yeah,

1009
00:54:55,360 --> 00:54:58,840
Speaker 1: you don't want to tip him off that Christ. That's

1010
00:54:58,880 --> 00:55:01,400
Speaker 1: why he wasn't back there doing the Angels wings in

1011
00:55:01,480 --> 00:55:05,279
Speaker 1: the outfield. He's you know, that's got you think. That's

1012
00:55:05,800 --> 00:55:09,560
Speaker 1: the humility thing. His biggest conflict is Pope.

1013
00:55:09,560 --> 00:55:12,080
Speaker 2: He's like, do I advocate for gay people or do

1014
00:55:12,120 --> 00:55:15,040
Speaker 2: I use my powers to get another World Series?

1015
00:55:15,120 --> 00:55:19,399
Speaker 1: Way, I mean, if the Socks win it this year,

1016
00:55:20,080 --> 00:55:23,520
Speaker 1: that's uh, like that.

1017
00:55:23,000 --> 00:55:29,279
Speaker 2: That would change off when I will Okay, no, I'm

1018
00:55:29,280 --> 00:55:35,120
Speaker 2: not that Uh anyways, can't win them all because then

1019
00:55:35,280 --> 00:55:37,440
Speaker 2: it would it would ruin the narrative arc.

1020
00:55:37,640 --> 00:55:37,839
Speaker 1: You know.

1021
00:55:38,360 --> 00:55:42,239
Speaker 2: So I think this year White Sox have a respectable

1022
00:55:42,320 --> 00:55:43,520
Speaker 2: they finish around five hundred.

1023
00:55:43,640 --> 00:55:46,440
Speaker 1: Yeah, it's like a manager takes over and like what.

1024
00:55:46,600 --> 00:55:50,160
Speaker 2: Next season, Leo the fourteenth that you can crank it

1025
00:55:50,239 --> 00:55:52,040
Speaker 2: up a little bit. Bro, I's not gonna get mad

1026
00:55:52,080 --> 00:55:52,319
Speaker 2: at you.

1027
00:55:54,800 --> 00:55:56,879
Speaker 1: We all want to see. We all want to believe.

1028
00:55:56,640 --> 00:56:00,600
Speaker 2: I was pope. I would my fandom would poison my papacy.

1029
00:56:00,840 --> 00:56:03,120
Speaker 2: I just know that I would just go to all

1030
00:56:03,120 --> 00:56:05,480
Speaker 2: the games they like. This guy doesn't even fucking go.

1031
00:56:05,560 --> 00:56:07,800
Speaker 2: He's not even the Vatican. He's always had like Laker

1032
00:56:07,880 --> 00:56:09,200
Speaker 2: games or Arsenal matches.

1033
00:56:09,239 --> 00:56:14,120
Speaker 1: It's like when the camera when the like JumboTron shows them,

1034
00:56:14,120 --> 00:56:16,640
Speaker 1: he's like doing the holding finger up and chugging a

1035
00:56:16,640 --> 00:56:17,280
Speaker 1: beer thing.

1036
00:56:19,440 --> 00:56:24,560
Speaker 2: Olean, not one thing spilled, keeping my garments piss it open,

1037
00:56:24,680 --> 00:56:27,239
Speaker 2: so you know, yeah, like this over my head, not

1038
00:56:27,360 --> 00:56:29,399
Speaker 2: a drop. Oh my god, he could.

1039
00:56:29,560 --> 00:56:32,799
Speaker 1: I can do my own miracle about making alcohol turn

1040
00:56:32,840 --> 00:56:35,880
Speaker 1: into something. I'm gonna turn this beer into piss.

1041
00:56:35,920 --> 00:56:38,400
Speaker 2: Brother, I'm too sexy for this beer.

1042
00:56:40,320 --> 00:56:46,120
Speaker 1: We're wearing a full pope hat at the game. Oh shit.

1043
00:56:46,400 --> 00:56:48,719
Speaker 1: All right. Those are some of the things that are

1044
00:56:48,800 --> 00:56:52,799
Speaker 1: trending on this Monday, May twelfth. We are back tomorrow

1045
00:56:52,920 --> 00:56:55,920
Speaker 1: with a whole last episode of the show. Until then,

1046
00:56:56,200 --> 00:56:59,719
Speaker 1: be kind to each other, be kind to yourselves. Get

1047
00:56:59,760 --> 00:57:02,319
Speaker 1: you or vaccines while you still can, get your flu

1048
00:57:02,360 --> 00:57:05,680
Speaker 1: shots while you still can. Don't do nothing about white supremacy,

1049
00:57:05,719 --> 00:57:08,160
Speaker 1: and we will talk to you all tomorrow. Bye bye.

1050
00:57:09,080 --> 00:57:12,040
Speaker 2: The Daily Zeite Guys is executive produced by Catherine Law.

1051
00:57:12,080 --> 00:57:14,040
Speaker 1: Co produced by Bee Wayne.

1052
00:57:14,320 --> 00:57:16,040
Speaker 2: Co produced by Victor Wright

1053
00:57:16,480 --> 00:57:20,120
Speaker 1: Co written by j M McNab, and edited and engineered

1054
00:57:20,160 --> 00:57:22,640
Speaker 1: by Brian Jeffries