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Speaker 1: You gotta come back to Keith Ibb in his will. Yeah.

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Speaker 2: Sorry, change the lyrics, Nicole, it's about my guitar player now,

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Speaker 2: that is so fucking wild. Change the nick Cole Kidman

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Speaker 2: Keith Urban changed Nicole Kidman lyric to shout out guitar

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Speaker 2: player Maggie Bah before split news.

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Speaker 3: Oh what does the.

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Speaker 1: Plot thickens like dickens?

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Speaker 2: Yeah, the Fighter which features Karen when they're when they're

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Speaker 2: trying to get to you baby, I'll be the fighter

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Speaker 2: Urban fifty seven usually things. However, he instead offered a

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Speaker 2: shout out to his guitarist and rising country music star,

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Speaker 2: Oh boy, when they're trying to get to you, Maggie,

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Speaker 2: I'll be your guitar player.

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Speaker 1: That is the worst fucking lyrics.

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Speaker 2: Sorry, Nicole, you dodged a bullet there, and probably dodged

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Speaker 2: one because you live in oz so they don't have guns,

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Speaker 2: just fucking lying about like they do here.

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Speaker 4: They have guns, but the bullets are really slow like

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Speaker 4: in Mario. Yeah you can die, I'm pretty pretty easily.

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Speaker 1: Yeah, you can actually jump on top of it and

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Speaker 1: completely off it. He's gotta jump on top of.

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Speaker 2: The bullet like Mario when they're trying to get to you, Maggie,

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Speaker 2: I'll be your guitar.

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Speaker 1: This guy is horny and gonna die alone.

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Speaker 3: It's like seventy percent of men I think.

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Speaker 1: Yeah, but this, but this is like thirsty. Yeah you

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Speaker 1: know what I mean? Like you get a.

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Speaker 3: You think do you think? Do you think he's is

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Speaker 3: it a? Is he fucking the guitar player?

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Speaker 5: I wouldn't put it past that old dirty dog, that

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Speaker 5: Nashville Alley cat.

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Speaker 1: It's not a very romantic lyric.

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Speaker 2: If he is, yeah, well, but it also feels unnecessary

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Speaker 2: because it's not like he was like when they're trying

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Speaker 2: to get to you, Nicole Kidman, my wife of nineteen years.

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Speaker 2: It's just like when they're trying to get to you,

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Speaker 2: I'll be your fighter. This just feels like I guess

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Speaker 2: maybe they're like, does he still sing the lyric that

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Speaker 2: we all know is about Nicole? And then just to

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Speaker 2: be like all night, I'll be there for you. Twenty

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Speaker 2: five year old guitar player.

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Speaker 1: Has a father figure or depends on what pot you're on.

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Speaker 1: That's a fucking goon, dude.

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Speaker 2: Yeah, min I am gooting all the time, even on

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Speaker 2: the edge, as they say of olgasm.

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Speaker 3: I hope Nicole Kids starts dating Ben Simmons.

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Speaker 4: From one just fuck it? Yeah, you know what I mean,

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Speaker 4: like Australians doing things that you don't expect Australians to do. Yeah, playing,

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Speaker 4: I've only.

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Speaker 1: Just gone and fucked a spider like Nicole.

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Speaker 3: Good for you, get on with your life. What's going on? Ben?

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Speaker 1: What a great time to jump in on this. Yeah?

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Speaker 2: Yeah, you're just speculating wildly on Nicole Kidman and Keith

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Speaker 2: Urban's divorce right now.

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Speaker 1: I think you nailed it from what I've heard. You're

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Speaker 1: right where you need to be spiders, So who among us?

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Speaker 1: You know what I mean?

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Speaker 2: I mean, I don't need to know that Australian phrase

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Speaker 2: that they say. They say, we're not here to fuck spiders,

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Speaker 2: like we're not here to fucking waste time.

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Speaker 1: I you know what I do? Hear that a lot.

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Speaker 1: I never really knew what that was, but now hear

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Speaker 1: it a lot, and now, okay, comes up a lot.

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Speaker 3: I was gonna call it insect protective services.

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Speaker 1: Yeah, I think someone's fucking the spiders next door. I

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Speaker 1: don't know. I'm hearing weird noises and everyone in the

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Speaker 1: my neighbor's house is they're always bloated when they come outside.

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Speaker 1: They like on them. It's crazy. He always has like

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Speaker 1: spider webs all over his pants.

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Speaker 3: It's very off putting.

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Speaker 1: Oh man, well Ben, thanks for coming on. Man, just yeah,

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Speaker 1: thanks for having me. I appreciate it. This is I'm excited,

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Speaker 1: you know. Thanks ready to go for sure?

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Speaker 3: Said that.

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Speaker 1: Yeah, you're gonna You're gonna be It's so fun. We're

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Speaker 1: talking about all the spider stuff that actually has something

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Speaker 1: to do with what we'll be talking about some of

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Speaker 1: my stuff today. So I don't know if they're prepared

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Speaker 1: for me or if you're we're just like linked up.

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Speaker 3: No, bro, I fucked with spiders generally. That's my king.

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Speaker 1: Well, there's there's something I need you to handle at

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Speaker 1: my house right now, because.

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Speaker 3: Where do you live in l A.

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Speaker 1: No, I live in Minneapolis.

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Speaker 3: Yeah, okay, Yeah, that's fine. I'll come.

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Speaker 1: I will find you out. You'll get flud out to

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Speaker 1: take care of my my spider problem.

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Speaker 4: I've got a spider it's just been outside one of

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Speaker 4: the windows in my house and it's just set up

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Speaker 4: camp with the biggest spider web, and I'm just like

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Speaker 4: seeing it get fatter and fatter. It's like the size

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Speaker 4: of a fist. Now it is killing it. It's gotten.

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Speaker 4: It's gone from to like, yeah, it's gonna it's gonna

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Speaker 4: start trapping birds in a second.

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Speaker 3: Oh hell yeah. I had a roommate who was a spider.

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Speaker 4: A spider.

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Speaker 3: He was fucking all the time.

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Speaker 1: No.

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Speaker 6: He as a child he had to help his dad

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Speaker 6: out in the cross space underneath his house and he

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Speaker 6: couldn't see what was going on, and he thought he

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Speaker 6: had like hit something that just made like dust fall

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Speaker 6: down on him.

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Speaker 4: But it turns out I don't like where this is going.

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Speaker 3: Just where it's going.

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Speaker 6: It was a full sack of like a spider eggs

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Speaker 6: and and he is horrified as spiders.

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Speaker 4: Now he can't take one problem. Yeah, he's by spiders

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Speaker 4: all the way. That would be wild if we found

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Speaker 4: out that because Australian's like came up with that phrase

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Speaker 4: not here to fuck spiders, and they're like, no, it's

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Speaker 4: just random, it's about nothing, And then you just find

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Speaker 4: out it's like them just covering up the fact that

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Speaker 4: they're always.

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Speaker 1: Spider.

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Speaker 4: Oh, they fuck spiders. That's why they said that going

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Speaker 4: out there.

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Speaker 2: One had to be there to fos what broke up.

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Speaker 4: That's what broke up the Keith Urban Nicole Kittman, A marriage?

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Speaker 4: Fucking spiders behind? What the fuck is.

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Speaker 2: These key that caught you again with a bunch of spiders?

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Speaker 1: Oh bibe, come on bank, what.

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Speaker 2: That's No, that's exactly how they sound, that's how That's

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Speaker 2: exactly how the divorce went down.

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Speaker 4: Hello the Internet, and welcome to season four oh eight,

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Speaker 4: Episode four of Guys. Yeah Yeah, it's a production of

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Speaker 4: iHeart Radio. This a podcast where we take a deep

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Speaker 4: dive into America's shit consciousness. Lost it at the end.

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Speaker 4: It's Thursday, October second, twenty twenty five.

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Speaker 3: Yep, yeah, two.

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Speaker 4: Days deep into Spooky season. Spooky Nason. I don't even

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Speaker 4: have to google when what day? My seven year old

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Speaker 4: inevitably asks me every morning how many days until Halloween?

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Speaker 4: And you know how to do math? I can do

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Speaker 4: that fucking math. I can do that fucking math.

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Speaker 3: Oh how many days? Thirty three days left?

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Speaker 4: Thirty three days? Wait? I always forget which one? It's

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Speaker 4: a yeah, yeah, I know it's two.

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Speaker 3: We got to do two in wonderrect let's just go

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Speaker 3: with thirty three.

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Speaker 2: October second is National Smarties Day, National Custodial Workers Recognition Day,

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Speaker 2: Custodial Workers National Fried Scallops Day.

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Speaker 1: If you haven't a scallop, Scott Fried's scallops profit.

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Speaker 4: Kind of like a pan seared got in the image.

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Speaker 2: In the image it is a pan sared scallop scallop

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Speaker 2: depending from.

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Speaker 4: Deep Fried Kentucky Fried scallops.

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Speaker 2: No, no, no, no, it's just I guess it's just

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Speaker 2: Pan Fried National Produce Misting Day.

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Speaker 1: That's so fucking specific.

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Speaker 2: But shout out to the misters on the fucking vegetable

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Speaker 2: display that keeps the ship tender and juicy.

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Speaker 4: Wouldn't want to go to like the Industry Awards for

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Speaker 4: Vegetable missing, where there's new Innovation, Newcomer of the Year,

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Speaker 4: vegetable missing.

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Speaker 2: Have you seen what Misco has been up to? They

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Speaker 2: might unseat Cisco. It's also National Name your Car Day.

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Speaker 2: I don't know if you ever had a name for

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Speaker 2: one of your cars.

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Speaker 1: I was.

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Speaker 4: I was not one of those people either. No, no,

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Speaker 4: my sister had a name for one of hers. It

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Speaker 4: wasn't like a Hue. It wasn't like Henry or some shit.

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Speaker 3: It was like a that ship box.

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Speaker 4: Yeah, yeah, it was like a Honda Accord that we

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Speaker 4: had left the windows open. Because I think we were

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Speaker 4: smoking cigarettes in the car at some point and uh

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Speaker 4: left the windows open during a rainstorm and it just

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Speaker 4: smelled like hockey equipment in there. Nasty, it smelled bad.

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Speaker 3: Conde nast, conde nast.

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Speaker 4: My name is Jack O'Brien aka Taco John O'Brien. When

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Speaker 4: I go by Taco Jack O'Brien, my real name is John,

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Speaker 4: and that is in honor of our guest, who will

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Speaker 4: get to in a second. But I'm thrilled to be

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Speaker 4: joined as always by my co host, mister.

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Speaker 2: Miles Grass Miles Gray aka you had to look at her.

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Speaker 3: Look the nick and mad look the nicka.

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Speaker 2: Mad bad mad mad mad mad mad mad bad mad

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Speaker 2: mad mad bad look the nick and mad bad mad bad,

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Speaker 2: bad mad bad mad bad mad bad mad bad. Okay,

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Speaker 2: shout out to Lumberjack on the discord for that wonderful

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Speaker 2: bad bunny.

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Speaker 1: Kay.

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Speaker 2: You know what I mean I had getting in your

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Speaker 2: bad bunny bag is somebody who lives on the West

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Speaker 2: coast not hearing a lot of Puerto Rican Spanish. You

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Speaker 2: have to really, you gotta. I'm not gonna lie, Lumberjack.

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Speaker 2: I had a little rehearse that to really bad Bunny.

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Speaker 4: Whole morning at forty five minutes late for this recording.

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Speaker 2: Yeah, yeah, this episode almost didn't come out today because

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Speaker 2: like Jack, have you ever.

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Speaker 4: You know how you can inhale helium and at makes

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Speaker 4: your voice high? Have you ever inhaled the one that

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Speaker 4: makes your voice love?

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Speaker 5: No?

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Speaker 3: I want that one so bad.

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Speaker 4: That one's so good, so fun, but I feel like

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Speaker 4: that would be I don't think I've hit it, but

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Speaker 4: I've seen it as like a science fair or some ship,

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Speaker 4: and n I was like, let me hit that.

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Speaker 1: Man, Come on, man, Yeah, He's like, this is a

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Speaker 1: livestock yard? What is it? What is it?

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Speaker 3: Sulfur hexa?

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Speaker 1: Where do you get it?

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Speaker 3: I want to We're so just the chopped and screwed episode.

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Speaker 4: Yeah, because I feel like that bad bunny goes so low.

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Speaker 3: Oh yo solo if you wuldn't even to look at it.

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Speaker 4: But yeah, film late like his music, like his vocals

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Speaker 4: hit me in the chest the way that like based

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Speaker 4: you know, it's like.

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Speaker 1: What Benito do do you?

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Speaker 4: Anyways, Miles were thrilled to be joined in our third

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Speaker 4: seat by very funny comedian, podcaster and author whose graphic

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Speaker 4: novels include Hello, My Name is Poop and Muddy Waters Too,

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Speaker 4: coming out later this year, co authored with Redman. He's

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Speaker 4: the host of the Trollhole podcast, and his debut special

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Speaker 4: Supple Harlot is out now. Please welcome Ben Katzner.

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Speaker 1: What's up? What's every Every part of me wanted to

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Speaker 1: do a bad bunny impression, but I just it's not

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Speaker 1: that guy. I don't want to want to appropriated it. No, no,

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Speaker 1: I don't not recorded, I don't. I'll tell you Mike.

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Speaker 1: He was like, well, they're all Americans, so it's on

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Speaker 1: the table.

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Speaker 4: It actually woke to do that. He is actually saying

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Speaker 4: that you think Puerto Rico is not a part of appropriation,

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Speaker 4: that's just a fellow state.

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Speaker 2: I really tried to honor the sort of because if

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Speaker 2: I said cit lokierne low tak med Bed, then it's

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Speaker 2: completely it's way off, way off.

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Speaker 3: You gotta do look at Bed anyway.

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Speaker 4: Why are you doing that? Perfect Puerto Ricans? That sounded

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Speaker 4: amazing to me. What are you talking about.

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Speaker 3: It's American, it's American, it's American.

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Speaker 4: Then we're thrilled to have you. You're coming to us

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Speaker 4: from the great city of Minneapolis.

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Speaker 1: Is that right? That is true? Yeah, I'm happy to

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Speaker 1: be here. Thank you for having me. I don't have

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Speaker 1: a bad Bundy impression, but I can't say this if

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Speaker 1: it's national name, your car day or whatever. I had

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Speaker 1: a two thousand and six Honda a Lantra about ten

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Speaker 1: years ago, and I call its name was the bang Bus.

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Speaker 4: So that was the bang bus.

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Speaker 1: And why.

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Speaker 3: Every time I backed it up, I just hit ship

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Speaker 3: thought of the bang bus.

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Speaker 4: That's right, it's actually little known. Origin of the name

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Speaker 4: of the bang bus had nothing to do with its

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Speaker 4: use for fucking. It was just the it backed up

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Speaker 4: and we'd go, we'll just really make a loud banging

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Speaker 4: sound that would break everybody out.

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Speaker 1: Yeah, It's like, damn, we just bang bust into a

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Speaker 1: family of four. We gotta get out.

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Speaker 4: Banged this bust into. Yeah.

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Speaker 2: Also, just I have to ask you, as somebody who

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Speaker 2: grew up my first fake I D name was Reggie Noble,

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Speaker 2: which is Redman's government name. Okay, yeah, what what was

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Speaker 2: it like working with Red Man?

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Speaker 3: Right now?

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Speaker 1: So this is a great question. I'll tell you when

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Speaker 1: I find out. So here's the thing. We did this.

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Speaker 1: We did this thing together via email and a lot

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Speaker 1: of me working with my team and him working with

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Speaker 1: his team. I'm going to New York Comic Con. Okay,

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Speaker 1: I'm going to meet him in person for the first

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Speaker 1: time there.

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Speaker 3: Wow, and I November.

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Speaker 1: That's October, October ninth through the twelfth. It's coming up,

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Speaker 1: so I don't know what it's like to work. It

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Speaker 1: was interesting seeing his work and being like, yo, Redman's

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Speaker 1: really in defeat, Like.

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Speaker 4: That was my Redmans really like smart Redmans, really into.

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Speaker 1: Very funny guy. Definitely, there were a lot of stuff,

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Speaker 1: so I adapted his His new album Mundy Waters Too,

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Speaker 1: just came out to follow up to Muddy Waters. Everybody

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Speaker 1: loves it. Whatever. He did a screenplay, I adapted that

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Speaker 1: into a graphic novel. His work, right, and they'd just

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Speaker 1: be like scene after scene after seeing it and be

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Speaker 1: like and then her beautiful toes come out and then

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Speaker 1: of nowhere, this woman's feet protrude from me. I'm like, okay, look,

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Speaker 1: my guy like, yeah, so that's what it was. There

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Speaker 1: said that, Okay, so yeah, you're literal sub Yeah, He's

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Speaker 1: like it was pretty subtle.

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Speaker 4: D We just lost fifteen pages to you describing Thurman's feet.

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Speaker 4: All the screenplays so long.

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Speaker 1: So I wish I had a better ild like I

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Speaker 1: wish I could be like yo, for goot me, he

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Speaker 1: spoke to me out whatever. But I will meet him

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Speaker 1: and I will get back to you guys.

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Speaker 4: Yeah yeah, all right, Well, we're thrilled to have you here.

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Speaker 4: We're gonna get to know you a little bit better

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Speaker 4: in a moment. First, we're going to tell the listeners

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Speaker 4: a couple of the things that we're talking about today.

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Speaker 4: Fox News is being creepy as hell about Baron Trump

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Speaker 4: and he went on a date and they're just like,

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Speaker 4: I don't know, yeah, maybe he got They used the

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Speaker 4: phrase dessert. They say he was surely rewarded with dessert.

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Speaker 3: Hate that so fun, diabolical, that's crazy.

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Speaker 1: Uh.

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Speaker 4: Then we'll talk about how his dad is running Halloween.

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Speaker 4: We'll talk about our new robot overlord, specifically a cop

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Speaker 4: pulled over Away MO for an alleged U turn for

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Speaker 4: an elite.

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Speaker 3: Let's be robot. Okay, allegedly you know what I mean,

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Speaker 3: proven guilty, yes, right?

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Speaker 4: And then how everybody thinks that Simone, the movie that

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Speaker 4: is did one Simone? Simone? That you know, a movie

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Speaker 4: that is so you know, painted into the national share

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Speaker 4: consciousness that I don't even know how to pronounce it. Uh.

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Speaker 4: There was a shitty Alpacino movie that appears to be

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Speaker 4: coming true with the AI actress. All of that plenty more.

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Speaker 4: But first, Ben, we do like to ask our guests,

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Speaker 4: what is something from your search history that's revealing about

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Speaker 4: who you are?

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Speaker 1: Something that I can say that my just guess my

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Speaker 1: mom listens to. This is my my last google. I

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Speaker 1: was searching Minnesota spiders, all right. We were talking about

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Speaker 1: this before the show a little bit. I actually have

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Speaker 1: been googling spiders because there's a fat spider in my yard.

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Speaker 1: That is if you know when a bug is too

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Speaker 1: so big that you're like, I think, if I kill you,

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Speaker 1: I go to jail. Is that it's that level of spider.

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Speaker 1: It's really I.

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Speaker 4: Take like several blows like a newspaper.

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Speaker 1: Yeah, it's not a it's not a it's not a

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Speaker 1: fly swatter situation. We're squaring up. We're bad.

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Speaker 3: I need my gloves, I need a pan, a can

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Speaker 3: of paint.

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Speaker 1: Yeah yeah, and like a torch. But so this this

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Speaker 1: I my My My position is outdoor spiders are fine.

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Speaker 1: They're they're not bothering me. Whatever. I need to cut

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Speaker 1: my law. My lot is looking terrible. Right now, because

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Speaker 1: I am that the spider is the alpha in my

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Speaker 1: yard right now. The spider is the alpha Myles spider.

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Speaker 1: It's literally one. But I'm I'm not kidding. It's probably

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Speaker 1: it's probably like a it's bit for me from Minnesota.

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Speaker 1: It's bit right, like if I if I kill it,

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Speaker 1: it'll cry, And I don't like that sort of I

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Speaker 1: don't know.

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Speaker 2: I don't know.

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Speaker 1: I don't want to disturb it. It's like it's kind

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Speaker 1: of like a it's a beautiful thing.

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Speaker 2: You're concerned, like you're going to be mowing your lawn

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Speaker 2: and then you're gonna lawnmower the funk out of it

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Speaker 2: or something, or you just don't want it, or it's

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Speaker 2: gonna descend on you as your mom.

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Speaker 1: It's going to touch me. Yeah, I don't want to.

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Speaker 1: I don't let it burn. I don't care. But like

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Speaker 1: it's it's just big enough that I feel like it

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Speaker 1: might have a margin of intelligence and I would have

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Speaker 1: to push mo through it if I'm gonna cut my grass.

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Speaker 1: So I've been thinking about, like should I leave it?

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Speaker 1: It's deadly that's a stupid question in Minnesota, but whatever,

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Speaker 1: So I did you know spiders and I was just

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Speaker 1: trying to see what kind of spider does I still

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Speaker 1: haven't quite figured out.

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Speaker 2: When you said you googled Minnesota spi I thought I

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Speaker 2: was hoping it was like a minor league hockey team.

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Speaker 1: That does sound good.

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Speaker 2: Minnesota Spiders, you know what I mean, because I know

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Speaker 2: University of Richmond.

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Speaker 3: They're Spiders.

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Speaker 2: I always like whenever I see that that basketball jersey,

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Speaker 2: like that's the sickest jersey.

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Speaker 3: It really fucking spiders on it. Yeah, this with the

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Speaker 3: spider as a mad Scott, which is really odd to me.

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Speaker 1: Yeah, people people choose demon over spider. That's how much

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Speaker 1: they don't. Yeah, that is wild anything but a spider,

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Speaker 1: huh huh.

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Speaker 4: Like multiple colors of demon. There's like blue demon, red

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Speaker 4: devil like yeah, and the dou.

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Speaker 1: The worst article clothing.

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Speaker 4: Yeah, a lot of colors.

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Speaker 1: What do we go with? Yeah, yeah, no one's done

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Speaker 1: the roaches yet or anything that's that's that's the bottom twos.

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Speaker 1: But probably intimidating, you know what I mean.

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Speaker 4: They're like alphas. Yeah, they're bullying you out of your

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Speaker 4: own yard.

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Speaker 1: Imagine imagine losing to the Spiders and then they just

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Speaker 1: like lags in your girl after the game. Or something

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Speaker 1: like that. You know that's that's tough.

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Speaker 3: Yeah, exactly. They're like and thousands of them.

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Speaker 1: Probably you're a father. Now I'm not going to be

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Speaker 1: here to take care of it. You've got three thousands.

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Speaker 4: I think that's pragmanti. Uh. Yeah, I've got I've got

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Speaker 4: a spider in my front yard that has been it

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Speaker 4: just like found the best spot. So it's like always

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Speaker 4: outside the same window. Yeah, it's built an elaborate web

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Speaker 4: that like comes down sometimes and then we'll just be

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Speaker 4: back the next day. Is just out here building and

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Speaker 4: then feasting. It is getting like noticeably bigger as it was,

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Speaker 4: like is killing it. It had a great September. Now

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Speaker 4: do you guys have this You're in La right, Yeah,

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Speaker 4: do you have those? We don't have them here yet,

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Speaker 4: but they they're on the East coast and I'm waiting

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Speaker 4: for this when this happens. Do you have those like

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Speaker 4: quote unquote flying spiders like they float on their webs

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Speaker 4: and then they're huge and they just like rain down

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Speaker 4: from the sky and just lad.

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Speaker 3: No, but I've seen videos of those.

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Speaker 1: Get ready. Yeah, my spider cam was really good.

401
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Speaker 3: So I'm like I'm like, yeah, bring it, man. I

402
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Speaker 3: fuck with you.

403
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Speaker 1: People are worried about AI, they should be worried about.

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Speaker 4: Raining spiders raining from the sky. One of my favorit

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Speaker 4: like piece of information I learned in the past couple

406
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Speaker 4: of years was that like the sky, like you look

407
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Speaker 4: up at the sky and it appears to be blue

408
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Speaker 4: or gray or whatever, but like it's actually full of bugs.

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Speaker 4: Like the bugs are just like flying, not just like

410
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Speaker 4: flying bugs, but like bugs that bugs that don't fly

411
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Speaker 4: just like catch a riot on the wind all the time.

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Speaker 4: And like there, if you just like cut a square

413
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Speaker 4: chunk like of the sky above you, there would just

414
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Speaker 4: be like tens of thousands of bugs just like floating

415
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Speaker 4: around up there.

416
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Speaker 1: The bugs.

417
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Speaker 4: Yea, they just like decide they don't want to be

418
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Speaker 4: where they are, and they just like lift up their

419
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Speaker 4: arms and get taken away on that gust of wind.

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Speaker 4: It's fucking sick.

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Speaker 1: That's freedom.

422
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Speaker 4: That's that's what I'm talking about.

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Speaker 1: They're actively trying to their own lives and then they

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Speaker 1: just have the best ride of their life. I'm good now, yeah, okay.

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Speaker 4: That's right. I'd like to do that. They're like hands up,

426
00:20:53,760 --> 00:20:55,280
Speaker 4: and you put your hands up and then just get

427
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Speaker 4: somewhere else Batman, get dark knighted out of there. What

428
00:21:01,160 --> 00:21:03,320
Speaker 4: is uh? What's something you think is underrated?

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Speaker 1: Okay, this is happening recently. I think when you're having

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Speaker 1: a casual conversation and somebody asked an intense question, I

431
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Speaker 1: think that's underrated. Okay, so you're talking about day weather

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Speaker 1: even Yeah, and then someone just goes, this is literally

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Speaker 1: what just happened to me this last weekend. Someone just went, so,

434
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Speaker 1: what do you what age? Do you want to die? Yeah? Yeah,

435
00:21:26,440 --> 00:21:28,640
Speaker 1: all just kind of sad in that and like really

436
00:21:28,720 --> 00:21:30,840
Speaker 1: talked about like the morbid nature of ours.

437
00:21:31,080 --> 00:21:34,080
Speaker 2: This is so funny because yes, one of our guests yesterday,

438
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Speaker 2: They're underrated was or maybe they're overrated, was getting too deep,

439
00:21:38,800 --> 00:21:39,680
Speaker 2: but basically.

440
00:21:39,359 --> 00:21:42,480
Speaker 4: The underrated was talking about the weather, whether keeping it light.

441
00:21:43,080 --> 00:21:44,760
Speaker 2: Keeping it light, keeping it light, and I love that

442
00:21:44,800 --> 00:21:47,440
Speaker 2: you come in and go dude, So I was talking

443
00:21:47,480 --> 00:21:48,000
Speaker 2: about the weather.

444
00:21:48,960 --> 00:21:49,800
Speaker 3: When do you want to die?

445
00:21:50,200 --> 00:21:50,360
Speaker 1: Right?

446
00:21:52,160 --> 00:21:54,800
Speaker 4: You don't want to die? Is a crazy thing to

447
00:21:54,880 --> 00:21:57,280
Speaker 4: come in with. That's that sounds like a threat, like

448
00:21:57,640 --> 00:22:00,720
Speaker 4: a threat that is yeah, is from.

449
00:22:00,600 --> 00:22:04,320
Speaker 1: A like five four twenty five pound moment. So she

450
00:22:04,560 --> 00:22:05,600
Speaker 1: was ready to kill me for sure.

451
00:22:05,960 --> 00:22:08,840
Speaker 2: She's like I have that thing on me. Do you

452
00:22:09,200 --> 00:22:12,200
Speaker 2: what did you give an answer or did you I said, yeah,

453
00:22:12,280 --> 00:22:14,280
Speaker 2: mine just trying to say up my Taco John's, lady.

454
00:22:14,920 --> 00:22:17,200
Speaker 1: I mean, the amount of the amount of Taco Johns

455
00:22:17,240 --> 00:22:19,080
Speaker 1: I've had in my life. It's crazy. I'm still alive.

456
00:22:19,200 --> 00:22:21,639
Speaker 1: Let's just start, let's just let's just put it all

457
00:22:21,680 --> 00:22:25,879
Speaker 1: out there, Okay, But yeah, I said so because of that,

458
00:22:27,359 --> 00:22:30,200
Speaker 1: hopefully this isn't too sad. I remember being like not

459
00:22:30,320 --> 00:22:32,000
Speaker 1: that I like came up in the streets or anything,

460
00:22:32,080 --> 00:22:33,720
Speaker 1: but I remember being young and not being able to

461
00:22:33,800 --> 00:22:36,280
Speaker 1: like see what my life would be past twenty five. Yeah,

462
00:22:36,800 --> 00:22:39,800
Speaker 1: I'm well past that now. But so I was like,

463
00:22:40,000 --> 00:22:45,159
Speaker 1: I'm good at like sixty four, sixty six. Yeah, everyone

464
00:22:45,240 --> 00:22:47,159
Speaker 1: on the table got very sad. They were all like

465
00:22:47,520 --> 00:22:50,600
Speaker 1: eighty five ninety four, and I was like, yeah, I

466
00:22:50,640 --> 00:22:53,600
Speaker 1: give them a hard sixty four and like I've done

467
00:22:53,600 --> 00:22:56,320
Speaker 1: everything I need know, like maybe fifteen twenty minutes.

468
00:22:59,119 --> 00:22:59,840
Speaker 4: You said a time.

469
00:23:00,440 --> 00:23:02,120
Speaker 1: I just yeah. Yeah.

470
00:23:02,680 --> 00:23:07,480
Speaker 4: By the way, Tago John's is a local Minnesota Taco

471
00:23:07,600 --> 00:23:09,600
Speaker 4: Bell variant, and I.

472
00:23:09,600 --> 00:23:11,680
Speaker 3: Think people in this in the central parts of the

473
00:23:11,760 --> 00:23:13,080
Speaker 3: country know about it, right.

474
00:23:13,280 --> 00:23:17,879
Speaker 4: Know about Johns DJs. Yeah, that's a that's a heavy one.

475
00:23:17,920 --> 00:23:22,400
Speaker 4: I've never seen somebody in their nineties look like they're

476
00:23:22,800 --> 00:23:25,720
Speaker 4: just living a normal life. Like once you hit the nineties,

477
00:23:26,440 --> 00:23:29,240
Speaker 4: it's like it's a different way of living. It's a

478
00:23:29,359 --> 00:23:32,760
Speaker 4: different way of living, like it is subsistence like you.

479
00:23:33,440 --> 00:23:36,680
Speaker 4: It just it feels like your awareness is down to

480
00:23:36,880 --> 00:23:40,160
Speaker 4: like a pinhole, Like you have like a pinhole view

481
00:23:40,800 --> 00:23:45,800
Speaker 4: and like ability to interact with existence, and you'll have so.

482
00:23:45,880 --> 00:23:47,399
Speaker 3: Much energy to interact too.

483
00:23:47,480 --> 00:23:47,680
Speaker 4: Yeah.

484
00:23:47,720 --> 00:23:47,920
Speaker 1: Sure.

485
00:23:48,160 --> 00:23:51,680
Speaker 2: Like my grandmother lived to be one hundred and in

486
00:23:51,800 --> 00:23:56,040
Speaker 2: her nineties. It wasn't untill like she hit ninety five

487
00:23:56,920 --> 00:23:59,520
Speaker 2: when it started getting the thing where she's always kind

488
00:23:59,520 --> 00:24:02,160
Speaker 2: of had a root tea, like wake up, they smoke

489
00:24:02,200 --> 00:24:07,960
Speaker 2: a cigarette, breakfast. If there's baseball, watch Japanese baseball wrestling,

490
00:24:09,200 --> 00:24:15,200
Speaker 2: you are indstructible. She have another cigarette, then have some beer.

491
00:24:15,240 --> 00:24:17,639
Speaker 2: She would always drink beer every night. But like a

492
00:24:17,680 --> 00:24:19,600
Speaker 2: little shoe, you don't how like they have many cans

493
00:24:19,640 --> 00:24:22,000
Speaker 2: of coke, they have many cans of beer in Japan.

494
00:24:22,119 --> 00:24:25,399
Speaker 2: So she would have one of those, be wasted and

495
00:24:25,560 --> 00:24:28,280
Speaker 2: go to bed and fucking do it all over.

496
00:24:28,359 --> 00:24:29,760
Speaker 1: And it was the same thing.

497
00:24:30,560 --> 00:24:33,640
Speaker 2: And it was just like this like cycle where even

498
00:24:33,680 --> 00:24:36,119
Speaker 2: if I, like, you know, I I'd visit, maybe like

499
00:24:36,280 --> 00:24:38,000
Speaker 2: with a year in between, because I wouldn't be able

500
00:24:38,040 --> 00:24:39,560
Speaker 2: to travel, being in school or something like that.

501
00:24:40,200 --> 00:24:41,320
Speaker 3: And when I'd see her, she would be.

502
00:24:41,320 --> 00:24:42,240
Speaker 1: Like, oh, you're back.

503
00:24:42,920 --> 00:24:47,600
Speaker 3: Like, I don't know, motherfucker, I've been doing my same

504
00:24:47,720 --> 00:24:48,400
Speaker 3: ship every day.

505
00:24:48,440 --> 00:24:51,160
Speaker 1: I'm baby. Yeah, She's like, it's been a hundred years

506
00:24:51,200 --> 00:24:54,320
Speaker 1: from me. You have no idea. People people who have

507
00:24:54,440 --> 00:24:57,840
Speaker 1: those routines who live really long are like they have

508
00:24:57,920 --> 00:25:00,639
Speaker 1: the same energy as like a conspiracy theorist that realizes

509
00:25:00,960 --> 00:25:03,520
Speaker 1: one of their conspiracies is true, right, so they think

510
00:25:03,560 --> 00:25:06,800
Speaker 1: that like everything they do contributes to how long They're like, hey,

511
00:25:06,880 --> 00:25:08,560
Speaker 1: I've smoked two cigarettes a day and had a beer

512
00:25:08,600 --> 00:25:09,040
Speaker 1: before bed.

513
00:25:09,200 --> 00:25:11,399
Speaker 4: Yeah, every day for me, and it worked for me,

514
00:25:11,720 --> 00:25:12,879
Speaker 4: So like this is what it is.

515
00:25:13,040 --> 00:25:15,960
Speaker 1: That's the same person who's like, I've been retaining my

516
00:25:16,000 --> 00:25:18,920
Speaker 1: semen because the government is a bunch of listenings and something.

517
00:25:19,000 --> 00:25:21,480
Speaker 1: You know, that's the same energy. I love that creator,

518
00:25:21,600 --> 00:25:24,120
Speaker 1: I love whatever it is mentally that keeps them going

519
00:25:24,200 --> 00:25:24,800
Speaker 1: on that path.

520
00:25:24,960 --> 00:25:27,280
Speaker 4: Yeah, good for her. You do have to retain your

521
00:25:27,320 --> 00:25:29,520
Speaker 4: semen just to realize to be able to see the

522
00:25:29,640 --> 00:25:32,840
Speaker 4: lizard nature of the government. But we've covered that on you.

523
00:25:32,960 --> 00:25:34,679
Speaker 4: We also covered that on yesterday's episode.

524
00:25:34,800 --> 00:25:35,880
Speaker 3: And what is morning?

525
00:25:36,440 --> 00:25:38,000
Speaker 4: What is overrated?

526
00:25:38,320 --> 00:25:42,399
Speaker 1: Something? The thing is overrated. I think the last days

527
00:25:42,440 --> 00:25:45,720
Speaker 1: of summer, the dog days of summer, I think they're overrated. Okay,

528
00:25:45,840 --> 00:25:48,240
Speaker 1: because I'm an adult, I don't have to go back

529
00:25:48,280 --> 00:25:51,600
Speaker 1: to school, and we have global climate change now, so

530
00:25:52,280 --> 00:25:56,320
Speaker 1: every day is warm. It's December, it's ninety five degrees. Yeah,

531
00:25:56,359 --> 00:25:59,520
Speaker 1: I could. I'm gonna. I could be swimming in February

532
00:25:59,600 --> 00:26:02,720
Speaker 1: and many appolis. But well, eventually will the water be

533
00:26:02,840 --> 00:26:04,720
Speaker 1: a cidic? Sure? But I can still do it?

534
00:26:04,840 --> 00:26:07,160
Speaker 4: Okay, So I'm not I mean, you guys are set

535
00:26:07,320 --> 00:26:09,440
Speaker 4: up there, that's where people are going to be invading

536
00:26:09,520 --> 00:26:12,000
Speaker 4: from the eyeing all them lakes.

537
00:26:12,080 --> 00:26:14,560
Speaker 1: Man, that's the goal. That was kind of part of it.

538
00:26:14,600 --> 00:26:16,040
Speaker 1: I used to live in New York and I was like, well,

539
00:26:16,080 --> 00:26:18,760
Speaker 1: this will be underwater pretty soon, so find a different place.

540
00:26:19,240 --> 00:26:23,440
Speaker 1: My problem is now we have all these like data center,

541
00:26:23,560 --> 00:26:26,439
Speaker 1: data centers and everything, so like they're they're soaking up

542
00:26:26,480 --> 00:26:28,800
Speaker 1: all the walks. So I don't know that even we're

543
00:26:28,840 --> 00:26:31,000
Speaker 1: not untouchable anymore. So I don't really know, but I

544
00:26:31,080 --> 00:26:31,840
Speaker 1: know it will be hot.

545
00:26:32,080 --> 00:26:35,440
Speaker 2: All the preppers say, Michigan. A lot of the same

546
00:26:35,520 --> 00:26:38,960
Speaker 2: Michigan go to Michigan. That's the Alamo in which they're

547
00:26:39,000 --> 00:26:44,320
Speaker 2: already there. So that a lot of the fulfilling put

548
00:26:44,400 --> 00:26:45,440
Speaker 2: up a fight for some of that.

549
00:26:45,640 --> 00:26:48,679
Speaker 1: But you're like, hey, you can't. You can't kidnap our governor.

550
00:26:48,760 --> 00:26:53,600
Speaker 1: That's our job. That's but yeah, so I'm thinking last

551
00:26:53,680 --> 00:26:55,320
Speaker 1: days of the summer because I'm looking right now. It's

552
00:26:55,440 --> 00:26:58,560
Speaker 1: it's October one. I'm looking outside. I don't have the

553
00:26:58,640 --> 00:27:00,639
Speaker 1: temp on me, but I'm prety shirt. It's like a

554
00:27:00,720 --> 00:27:01,760
Speaker 1: Balmy seventy five.

555
00:27:01,960 --> 00:27:05,400
Speaker 3: You do have sleeves on. I'm inside.

556
00:27:05,800 --> 00:27:09,240
Speaker 1: Yeah, this is as dresses I'm gonna get all right, right,

557
00:27:09,880 --> 00:27:12,439
Speaker 1: you don't want to see the lower half. It's it's cleeves.

558
00:27:12,520 --> 00:27:16,359
Speaker 1: But just on my It's just on my, like calves

559
00:27:16,400 --> 00:27:19,040
Speaker 1: and stuff. There's no pain, like compression sucks. Yeah.

560
00:27:23,960 --> 00:27:26,600
Speaker 4: So but yeah, it's like those calves warm.

561
00:27:27,040 --> 00:27:29,440
Speaker 1: Yeah. Yeah, you know that those are the money makers.

562
00:27:29,480 --> 00:27:31,040
Speaker 1: I post those on You can check out my only

563
00:27:31,080 --> 00:27:35,399
Speaker 1: fans to check my yeah, only calves. Yeah, but it's that.

564
00:27:35,560 --> 00:27:37,800
Speaker 1: But I'm inside. The a C is on a little bit.

565
00:27:38,000 --> 00:27:39,560
Speaker 1: I gotta and I want to look like an artist,

566
00:27:39,720 --> 00:27:42,840
Speaker 1: you know, so I yet this on but outside, Yeah

567
00:27:43,080 --> 00:27:44,919
Speaker 1: this is uh, it's hot right now.

568
00:27:45,160 --> 00:27:49,680
Speaker 4: Yeah that's too hot for Minnesota in October seventy five.

569
00:27:50,200 --> 00:27:54,280
Speaker 1: These are like these, it's been like this lately. This

570
00:27:54,440 --> 00:27:56,199
Speaker 1: is how people get, Like we get a little bit

571
00:27:56,280 --> 00:27:58,720
Speaker 1: less snow, or we get like a crazy amount of snow.

572
00:27:58,760 --> 00:28:01,520
Speaker 1: We're like, well, right, this but whatever, but and then

573
00:28:01,560 --> 00:28:04,760
Speaker 1: it's uh, and then it's hot until like December, and

574
00:28:04,840 --> 00:28:06,159
Speaker 1: then you're like it doesn't.

575
00:28:05,920 --> 00:28:07,840
Speaker 3: What was it like when you were a kid, Like

576
00:28:08,000 --> 00:28:10,440
Speaker 3: what did you feel? What were what? What was October?

577
00:28:10,600 --> 00:28:11,680
Speaker 3: Like you had seen twenty.

578
00:28:11,480 --> 00:28:13,960
Speaker 1: You're legit, you had legit seasons. October was a little

579
00:28:14,000 --> 00:28:16,080
Speaker 1: bit cooler. You felt to go, like I played football,

580
00:28:16,119 --> 00:28:18,600
Speaker 1: so it'd be like, oh, October's here, it's football, whether right,

581
00:28:18,960 --> 00:28:21,000
Speaker 1: and you feel good on Friday nights and all that shiit.

582
00:28:21,560 --> 00:28:24,600
Speaker 1: November was like already a barren wasteland. December you finally

583
00:28:24,640 --> 00:28:26,440
Speaker 1: got like real snow and all that sort of stuff.

584
00:28:26,720 --> 00:28:30,160
Speaker 1: And then in like January, February, March, April, you're like, maybe.

585
00:28:30,000 --> 00:28:32,879
Speaker 4: I stayed inside, maybe maybe frozen.

586
00:28:33,359 --> 00:28:34,199
Speaker 1: I didn't realize that.

587
00:28:34,480 --> 00:28:38,160
Speaker 4: Maybe we should build just a mall that everybody walks through,

588
00:28:38,320 --> 00:28:40,600
Speaker 4: so we don't ever have to go outside when we're down.

589
00:28:40,960 --> 00:28:43,160
Speaker 1: Yeah, yeah, how was it When I was younger, they

590
00:28:43,280 --> 00:28:44,480
Speaker 1: built tunnels.

591
00:28:44,080 --> 00:28:49,240
Speaker 3: So we didn't have Yeah, it's dark and hell's cold.

592
00:28:49,680 --> 00:28:52,920
Speaker 4: Yeah, all right, Ben, wonderful getting to know you were

593
00:28:52,960 --> 00:28:54,680
Speaker 4: going to take a quick break. Then we're gonna come

594
00:28:54,760 --> 00:28:58,120
Speaker 4: back and talk about Fox News is weird horning us.

595
00:28:58,160 --> 00:29:13,400
Speaker 4: We'll be right back and we're back. And so Baron

596
00:29:13,480 --> 00:29:17,600
Speaker 4: Trump reportedly just went on a date to the romantic

597
00:29:18,040 --> 00:29:22,360
Speaker 4: and totally empty Trump Tower, Like they just emptied out

598
00:29:22,400 --> 00:29:25,720
Speaker 4: a floor of Trump Tower for him, which I think

599
00:29:26,120 --> 00:29:29,200
Speaker 4: they're they're thinking, is like, oh, it's so charming. It's like,

600
00:29:29,680 --> 00:29:31,960
Speaker 4: I don't know, you get to like go to the

601
00:29:32,040 --> 00:29:34,840
Speaker 4: toy store after it's closed or something. But it's just

602
00:29:34,920 --> 00:29:40,960
Speaker 4: like an empty floor full of like gilded bullshit. You know. Yeah,

603
00:29:41,000 --> 00:29:43,760
Speaker 4: it's just like and there's a golden toilet over there,

604
00:29:44,000 --> 00:29:46,320
Speaker 4: and it's me in the Secret Service.

605
00:29:46,680 --> 00:29:48,720
Speaker 3: He's like, Yeah, when we're here in this empty building,

606
00:29:48,800 --> 00:29:50,680
Speaker 3: no one can make fun of me in public. So

607
00:29:51,040 --> 00:29:52,560
Speaker 3: that's why we're doing date in here.

608
00:29:53,480 --> 00:29:55,719
Speaker 1: That's not cool if you're him, that's not cool at all.

609
00:29:55,800 --> 00:29:58,280
Speaker 1: That's like that's like one of us being like, oh yeah,

610
00:29:58,680 --> 00:30:01,120
Speaker 1: why don't you come over for this fun day that

611
00:30:01,160 --> 00:30:03,360
Speaker 1: I have planned in my emptied out basement at my

612
00:30:03,480 --> 00:30:05,840
Speaker 1: mom's house. You know, you're like, his dad owns it.

613
00:30:05,920 --> 00:30:07,840
Speaker 1: That's not cool. We go to go to like towers.

614
00:30:07,920 --> 00:30:09,440
Speaker 2: You know, my dad's out of town. We can go

615
00:30:09,520 --> 00:30:12,760
Speaker 2: to his place in this state. I don't know if

616
00:30:12,760 --> 00:30:14,480
Speaker 2: I want to go. Why do you take me to

617
00:30:14,560 --> 00:30:15,400
Speaker 2: a third location?

618
00:30:16,920 --> 00:30:16,960
Speaker 7: No?

619
00:30:17,160 --> 00:30:18,720
Speaker 3: No reason, no reason, no reason.

620
00:30:19,360 --> 00:30:22,720
Speaker 4: And this is coming from a place of like, you know,

621
00:30:22,800 --> 00:30:25,120
Speaker 4: I'm a little annoyed because I did have plans in

622
00:30:25,240 --> 00:30:28,840
Speaker 4: Trump Tower last night. I was gonna it's gonna go

623
00:30:28,960 --> 00:30:34,760
Speaker 4: hang there, Bud, my wife. Yes, this asshole all the

624
00:30:34,880 --> 00:30:38,360
Speaker 4: fun stuff to himself. But yeah, they're just they're trying

625
00:30:38,400 --> 00:30:43,800
Speaker 4: to make it, you know, normalize this authoritarian fascist bullshit

626
00:30:43,920 --> 00:30:47,160
Speaker 4: and be like ooh, it's it's kind of when you squint,

627
00:30:47,320 --> 00:30:50,880
Speaker 4: it can look like an eighties movie fairy tale. But

628
00:30:51,240 --> 00:30:54,680
Speaker 4: Fox News kind of went and ruined it by getting

629
00:30:54,800 --> 00:30:58,800
Speaker 4: like real weird and horned. So Baron Trump is nineteen

630
00:30:59,920 --> 00:31:04,720
Speaker 4: to me as somebody who like I've I don't pay

631
00:31:04,720 --> 00:31:08,000
Speaker 4: a lot of attention to Baron Trump, and so the

632
00:31:08,880 --> 00:31:11,959
Speaker 4: majority of my memories of him is as a child,

633
00:31:12,480 --> 00:31:16,320
Speaker 4: and to have them like just repeatedly be like putting

634
00:31:16,400 --> 00:31:19,040
Speaker 4: him in a sexual context. So they reacted to this

635
00:31:19,200 --> 00:31:22,600
Speaker 4: news by suggesting that the date sounded so awesome that

636
00:31:22,760 --> 00:31:27,720
Speaker 4: the boy prince who's clearly got game, was surely rewarded

637
00:31:27,840 --> 00:31:30,440
Speaker 4: with sex, or, as they put it, dessert.

638
00:31:31,480 --> 00:31:33,760
Speaker 1: All right, well, let's jack it.

639
00:31:33,800 --> 00:31:35,920
Speaker 3: May it may not be as weird as you're describing.

640
00:31:36,240 --> 00:31:37,720
Speaker 4: No, it's probably pretty normal.

641
00:31:37,760 --> 00:31:39,840
Speaker 1: It's Jesse brought her back to Trump Tower.

642
00:31:40,480 --> 00:31:42,640
Speaker 7: He shut the whole floor down at Trump Tower.

643
00:31:42,800 --> 00:31:45,239
Speaker 2: Just that already sounds like you're about to get murdered, right.

644
00:31:45,960 --> 00:31:48,160
Speaker 2: He brought her back to Trump Tower. He shut down

645
00:31:48,200 --> 00:31:50,000
Speaker 2: a whole floor at Trump Tower.

646
00:31:50,000 --> 00:31:55,320
Speaker 4: And the shower curtains everywhere and plastic cheating.

647
00:31:55,120 --> 00:31:55,680
Speaker 1: On the ground.

648
00:31:56,880 --> 00:31:59,440
Speaker 7: He brought her back to Trump Tower. He shut the

649
00:31:59,560 --> 00:32:01,760
Speaker 7: whole floor down at Trump Tower, just so he could

650
00:32:01,800 --> 00:32:04,560
Speaker 7: be alone. One of his classmates said this, he's tall

651
00:32:04,600 --> 00:32:07,960
Speaker 7: and awkward, but he was the thing. The guy. He

652
00:32:08,040 --> 00:32:09,760
Speaker 7: had a lot of girls running after him.

653
00:32:10,280 --> 00:32:14,160
Speaker 4: He was the thing, was the thing, the guy. He

654
00:32:14,320 --> 00:32:15,720
Speaker 4: had a lot of girls running after.

655
00:32:15,960 --> 00:32:17,360
Speaker 3: This is not a real person.

656
00:32:17,480 --> 00:32:19,760
Speaker 2: This is this is time we live in such an

657
00:32:19,840 --> 00:32:24,240
Speaker 2: era or like, yeah, so many right wing propaganda things

658
00:32:24,320 --> 00:32:26,400
Speaker 2: just sound like impossible human beings.

659
00:32:26,480 --> 00:32:28,880
Speaker 4: And they said that, they said he was the thing,

660
00:32:29,040 --> 00:32:29,400
Speaker 4: the guy.

661
00:32:30,080 --> 00:32:33,400
Speaker 1: He was the guy. Either it's AI or this is

662
00:32:33,480 --> 00:32:36,040
Speaker 1: someone they pulled a quote from this person. Act one point,

663
00:32:36,120 --> 00:32:39,400
Speaker 1: they're like Trump, he was the guy.

664
00:32:40,400 --> 00:32:42,600
Speaker 4: I think, so we get at the beginning what they

665
00:32:42,640 --> 00:32:46,000
Speaker 4: were actually saying. And then the Secret Service like pulls

666
00:32:46,040 --> 00:32:47,959
Speaker 4: a gun out. So it's like he was like kind

667
00:32:48,000 --> 00:32:51,240
Speaker 4: of awkward and were he was the thing. He was guy,

668
00:32:51,600 --> 00:32:53,720
Speaker 4: the thing, the guy. What do you want me to say?

669
00:32:54,240 --> 00:32:57,400
Speaker 2: Yeah, he's tall and awkward, but he was the guy. Still,

670
00:32:57,640 --> 00:32:59,880
Speaker 2: I like a little veiled hater compliment, Okay.

671
00:33:00,160 --> 00:33:03,240
Speaker 7: On Fox News, another said he's a ladies man for sure.

672
00:33:03,640 --> 00:33:06,160
Speaker 7: He's really popular with the ladies. He's tall and handsome.

673
00:33:06,400 --> 00:33:08,960
Speaker 7: A lot of people seem to think he's pretty attractive.

674
00:33:09,240 --> 00:33:11,840
Speaker 3: Okay, he's talking about you talking.

675
00:33:12,120 --> 00:33:15,120
Speaker 1: This is a lot of people. A lot of people

676
00:33:15,280 --> 00:33:15,640
Speaker 1: love him.

677
00:33:16,000 --> 00:33:17,440
Speaker 3: He's really popular ladies.

678
00:33:18,080 --> 00:33:18,760
Speaker 4: They seem to think.

679
00:33:19,240 --> 00:33:21,080
Speaker 1: They seem to think he's pretty attractive.

680
00:33:21,240 --> 00:33:23,960
Speaker 3: And his dad and he they say they say he

681
00:33:24,120 --> 00:33:25,400
Speaker 3: maybe get us it from his daddy.

682
00:33:25,480 --> 00:33:25,840
Speaker 1: I don't know.

683
00:33:26,280 --> 00:33:29,160
Speaker 4: They're saying he's the hottest nineteen This nineteen year old

684
00:33:29,240 --> 00:33:32,400
Speaker 4: is hot again, the hottest nineteen year old in New

685
00:33:32,480 --> 00:33:32,920
Speaker 4: York City.

686
00:33:33,160 --> 00:33:35,760
Speaker 1: Okay, great daughter and not my son. I would get

687
00:33:35,840 --> 00:33:36,440
Speaker 1: him on the lips.

688
00:33:36,520 --> 00:33:38,200
Speaker 2: I would do it, but I actually i'd give him

689
00:33:38,240 --> 00:33:42,240
Speaker 2: under his mine. So again I will uh so, Okay,

690
00:33:42,320 --> 00:33:44,920
Speaker 2: so they've they've seeded this story with some fake quotes.

691
00:33:44,920 --> 00:33:45,360
Speaker 1: Okay, go on.

692
00:33:46,000 --> 00:33:49,520
Speaker 7: So imagine imagine a guy brings you back to Trump

693
00:33:49,640 --> 00:33:50,720
Speaker 7: Tower and they'll.

694
00:33:50,960 --> 00:33:56,400
Speaker 1: No, I will not. You cannot force me. Yeah, take

695
00:33:56,480 --> 00:33:57,120
Speaker 1: my life.

696
00:33:57,480 --> 00:34:00,600
Speaker 7: Brings you back to Trump Tower and the whole floor

697
00:34:01,040 --> 00:34:01,800
Speaker 7: well shut down.

698
00:34:01,880 --> 00:34:03,720
Speaker 8: If the guy's a Trump that, I would believe it.

699
00:34:03,760 --> 00:34:05,320
Speaker 8: And I know a lot of people are probably gonna

700
00:34:05,320 --> 00:34:07,560
Speaker 8: want to criticize him, that he's being a prima Donalds.

701
00:34:07,600 --> 00:34:09,120
Speaker 8: No pun intended there.

702
00:34:09,239 --> 00:34:09,319
Speaker 7: But.

703
00:34:10,880 --> 00:34:14,120
Speaker 4: There was no intended there. Hold on, idiot, that was

704
00:34:14,160 --> 00:34:17,319
Speaker 4: a made up word. That was a made up word.

705
00:34:17,520 --> 00:34:18,200
Speaker 1: What do you mean.

706
00:34:19,719 --> 00:34:23,600
Speaker 2: Was a portmanteau of your own creation? And then you say, nope,

707
00:34:24,080 --> 00:34:25,040
Speaker 2: these people, oh.

708
00:34:25,040 --> 00:34:25,839
Speaker 1: My god, they don't.

709
00:34:25,840 --> 00:34:27,040
Speaker 4: There's a lot of words.

710
00:34:27,560 --> 00:34:30,160
Speaker 1: There's a lot of terrible stuff happening right now. This

711
00:34:30,400 --> 00:34:33,200
Speaker 1: is my top three for me. This is crazy all

712
00:34:33,280 --> 00:34:36,120
Speaker 1: the terrible of all the terrible things.

713
00:34:36,160 --> 00:34:39,480
Speaker 2: I can't believe. I'm so out of my head about this.

714
00:34:39,800 --> 00:34:44,080
Speaker 2: Just that's stupid and no pun intended that. Okay, go on,

715
00:34:44,520 --> 00:34:48,120
Speaker 2: you've successfully told me, Julie Benderis obviously.

716
00:34:47,840 --> 00:34:50,520
Speaker 8: Did for security reasons. The security needed to sweep the floor.

717
00:34:50,560 --> 00:34:52,680
Speaker 8: They shut down the floor. But man, this guy's got game.

718
00:34:52,960 --> 00:34:55,319
Speaker 8: I mean, six foot seven and he's got a little

719
00:34:55,320 --> 00:34:57,959
Speaker 8: floor at Trump Tower for a freaking date. I hope

720
00:34:58,000 --> 00:34:59,359
Speaker 8: something good came out of that date.

721
00:35:00,040 --> 00:35:02,239
Speaker 1: I mean, I'm not going to say something not too good.

722
00:35:02,280 --> 00:35:05,720
Speaker 7: Dessert not too good? He needs to wait or made dessert?

723
00:35:05,840 --> 00:35:07,480
Speaker 7: Okay the Trump.

724
00:35:10,320 --> 00:35:11,359
Speaker 1: Yeah, I guess.

725
00:35:12,760 --> 00:35:16,400
Speaker 4: So this is so hot, this is I've heard all.

726
00:35:16,400 --> 00:35:19,359
Speaker 4: I got to say something. I'm so horny right now.

727
00:35:19,360 --> 00:35:23,680
Speaker 1: I am about to roll down my compression sock. I

728
00:35:24,320 --> 00:35:27,480
Speaker 1: This lady is wrong. She she just contradicted herself. She

729
00:35:27,520 --> 00:35:30,719
Speaker 1: didn't realize that. She goes, he's six seven and you

730
00:35:30,800 --> 00:35:33,640
Speaker 1: had to clear out the entire floor. He's six seven.

731
00:35:34,320 --> 00:35:36,000
Speaker 1: He shouldn't have to do any of this. He's six

732
00:35:36,080 --> 00:35:38,560
Speaker 1: seven rich. Why does he also have to be like,

733
00:35:39,280 --> 00:35:42,360
Speaker 1: and I've cleared out a floor for you. My reasons

734
00:35:44,239 --> 00:35:46,879
Speaker 1: that you've told me that I'm not. I'm not trying

735
00:35:46,920 --> 00:35:48,759
Speaker 1: to get in there. I'm not if you want a

736
00:35:48,960 --> 00:35:51,359
Speaker 1: convenience opinion, a nineteen year old you got the wrong

737
00:35:51,440 --> 00:35:53,239
Speaker 1: guy called Crystal Lea, get him in here.

738
00:35:53,560 --> 00:35:55,040
Speaker 3: I think that you're not too old.

739
00:35:55,200 --> 00:35:59,320
Speaker 1: But I'm just saying, like, if you're tall and you

740
00:35:59,440 --> 00:36:01,560
Speaker 1: have to do all this stuff that I know you

741
00:36:01,680 --> 00:36:02,319
Speaker 1: have no game.

742
00:36:02,360 --> 00:36:04,800
Speaker 2: Actually right, yeah, no you this is this is like

743
00:36:04,960 --> 00:36:08,000
Speaker 2: the typical, like, well, I have nothing to offer except

744
00:36:08,040 --> 00:36:10,080
Speaker 2: my wealth. So that's what I'm gonna lead with.

745
00:36:10,360 --> 00:36:11,040
Speaker 1: Look what I did.

746
00:36:11,160 --> 00:36:13,200
Speaker 3: I should like what floor is it? Also?

747
00:36:13,440 --> 00:36:14,840
Speaker 1: Like is it a retail floor?

748
00:36:15,120 --> 00:36:18,320
Speaker 2: Is it just a bunch of abandoned offices? Like like

749
00:36:18,400 --> 00:36:21,000
Speaker 2: I don't even know paint a picture here? Is it

750
00:36:21,120 --> 00:36:24,600
Speaker 2: just one empty floor? Floors from Diehard? Like you're still

751
00:36:24,640 --> 00:36:27,120
Speaker 2: being built. And there's like one table with a white

752
00:36:27,160 --> 00:36:29,520
Speaker 2: tablecloth and roses and candles on it, and he's like,

753
00:36:29,600 --> 00:36:31,360
Speaker 2: this is where we're gonna have dinner.

754
00:36:31,560 --> 00:36:32,840
Speaker 3: I hope you like beef.

755
00:36:33,200 --> 00:36:34,840
Speaker 4: Get the nail guns out of there. You know he

756
00:36:35,160 --> 00:36:37,279
Speaker 4: starts playing with the nail guns when we let him

757
00:36:37,280 --> 00:36:38,000
Speaker 4: loose on that floor.

758
00:36:38,200 --> 00:36:40,520
Speaker 1: Yeah yeah, you know, Osha said this would be illegal,

759
00:36:40,600 --> 00:36:43,200
Speaker 1: but we had all of them fired. So yeah, exactly,

760
00:36:43,560 --> 00:36:46,200
Speaker 1: she falls through like three stories of Trump Town. This

761
00:36:46,360 --> 00:36:47,319
Speaker 1: guy's got game.

762
00:36:49,080 --> 00:36:50,680
Speaker 4: I hope something good came from it.

763
00:36:51,280 --> 00:36:52,880
Speaker 2: And also yeah, you know what I'm saying, wait to

764
00:36:52,960 --> 00:36:54,480
Speaker 2: do that whole thing of like and you know she

765
00:36:54,600 --> 00:36:56,080
Speaker 2: owes them sex now, right.

766
00:36:56,280 --> 00:37:00,520
Speaker 4: Exactly, Like, so this fucking whoever whatever age this person is,

767
00:37:00,520 --> 00:37:03,000
Speaker 4: that he's going on a date with this fucking high

768
00:37:03,040 --> 00:37:07,000
Speaker 4: school student presumably is now has Fox News speculating on

769
00:37:07,480 --> 00:37:10,160
Speaker 4: whether college he's right.

770
00:37:10,120 --> 00:37:13,200
Speaker 1: Yeah, but he still likes to these people are like,

771
00:37:13,280 --> 00:37:16,880
Speaker 1: did you fuck them? Yeah? He McConaughey is that and

772
00:37:16,960 --> 00:37:18,640
Speaker 1: goes back to high school every now and then, maybe

773
00:37:18,719 --> 00:37:19,480
Speaker 1: just to see what's up.

774
00:37:19,840 --> 00:37:22,080
Speaker 3: Yeah, just let him know I used to run this place.

775
00:37:22,400 --> 00:37:26,200
Speaker 1: Also, what's so funny about this particular segment is like

776
00:37:26,880 --> 00:37:29,799
Speaker 1: it's not like nothing's going on. It's not like there's

777
00:37:29,880 --> 00:37:32,160
Speaker 1: not other stuff they could be talking about in the world.

778
00:37:32,560 --> 00:37:35,520
Speaker 1: Like even even whatever their take is, Trump is doing

779
00:37:35,600 --> 00:37:38,360
Speaker 1: like a bunch of crazy stuff every single day that

780
00:37:38,480 --> 00:37:40,200
Speaker 1: they could talk about how good it is for America,

781
00:37:40,280 --> 00:37:42,320
Speaker 1: that he's like taking away our rights whatever, right, and

782
00:37:42,440 --> 00:37:44,840
Speaker 1: they're still they're like no, no, no, no, no. His

783
00:37:45,080 --> 00:37:47,880
Speaker 1: son might be busting that rust not out. We gotta

784
00:37:47,960 --> 00:37:49,319
Speaker 1: talk about this. We gotta get a.

785
00:37:51,239 --> 00:37:54,359
Speaker 2: Who's like, why does anyone on staff think he has game?

786
00:37:54,440 --> 00:37:58,920
Speaker 2: I think Julie's had enough head injuries that she believes that. Yeah, yeah,

787
00:37:58,960 --> 00:37:59,399
Speaker 2: get her.

788
00:37:59,600 --> 00:38:02,000
Speaker 4: Just the idea yet? Yeah, that they're turning this into

789
00:38:02,160 --> 00:38:05,640
Speaker 4: like a socialite thing, like a fucking movie like that.

790
00:38:05,840 --> 00:38:07,279
Speaker 4: It's it's a distraction, like.

791
00:38:07,400 --> 00:38:10,839
Speaker 2: Kinda could kardashianify this family in a way to give

792
00:38:10,880 --> 00:38:13,920
Speaker 2: it more social cachet to people to even give a

793
00:38:14,040 --> 00:38:15,239
Speaker 2: fuck about this link?

794
00:38:15,480 --> 00:38:18,960
Speaker 4: Sure, so we don't eat them? Yeah, yeah, it's it's

795
00:38:19,120 --> 00:38:21,560
Speaker 4: there's plenty of things they could be talking about and

796
00:38:22,120 --> 00:38:24,320
Speaker 4: really don't want to be and so they're going to

797
00:38:24,440 --> 00:38:26,719
Speaker 4: fill it up with shit like this, you know, all right,

798
00:38:26,840 --> 00:38:30,120
Speaker 4: staying with the Trump family, it is officially spooky season.

799
00:38:30,640 --> 00:38:33,880
Speaker 4: There's been a lot of headlines about how this is

800
00:38:33,960 --> 00:38:39,600
Speaker 4: gonna be like the most commercially successful Halloween yet, and

801
00:38:39,760 --> 00:38:41,759
Speaker 4: I think like the headlines are pointing to things like

802
00:38:42,440 --> 00:38:45,400
Speaker 4: K pop demon Hunters like that. You know, there's a

803
00:38:45,560 --> 00:38:48,880
Speaker 4: huge new craze that all the kids are going crazy for,

804
00:38:49,160 --> 00:38:52,880
Speaker 4: so presumably everybody's gonna be spending money on those costumes.

805
00:38:52,920 --> 00:38:56,719
Speaker 4: Spirit Halloween is selling a line of Sinners costumes, even

806
00:38:56,760 --> 00:38:59,120
Speaker 4: though that movie is supposedly bombed at the box office.

807
00:38:59,320 --> 00:39:03,000
Speaker 4: According to Variety, yeah it turns out as a massive success.

808
00:39:03,280 --> 00:39:06,160
Speaker 4: But yeah, Americans are expected to spend more than ever

809
00:39:06,400 --> 00:39:09,720
Speaker 4: before on Halloween, a record thirteen point one billion dollars,

810
00:39:10,080 --> 00:39:13,640
Speaker 4: which is eleven dollars more per person than last year.

811
00:39:14,080 --> 00:39:17,480
Speaker 4: And you're like, so, how are they predicting that? They

812
00:39:17,600 --> 00:39:19,480
Speaker 4: just like went out and were like, hey, so how

813
00:39:19,560 --> 00:39:24,040
Speaker 4: excited are you about Halloween this year? And it's actually not.

814
00:39:24,320 --> 00:39:29,200
Speaker 4: It's actually because of Trump's tariffs, which have made everything

815
00:39:29,920 --> 00:39:32,200
Speaker 4: way fucking more expensive.

816
00:39:33,560 --> 00:39:36,399
Speaker 1: Into the spirit man, That's why they're spending more this year.

817
00:39:36,960 --> 00:39:37,920
Speaker 7: It's it's so.

818
00:39:38,160 --> 00:39:41,320
Speaker 4: Funny, like the way that this news gets like that.

819
00:39:41,560 --> 00:39:44,879
Speaker 4: We were talking yesterday's trends about like how the whole

820
00:39:44,960 --> 00:39:48,320
Speaker 4: goal of capitalism like in this like late stage model

821
00:39:48,360 --> 00:39:51,520
Speaker 4: of capitalism, they always talk about like removing the friction

822
00:39:51,880 --> 00:39:54,600
Speaker 4: around the like purchases, so that like capitalism is just

823
00:39:54,680 --> 00:39:57,560
Speaker 4: a thing you do without thinking. You know, you're ordering

824
00:39:57,680 --> 00:39:59,400
Speaker 4: food where you like never have to like go to

825
00:39:59,480 --> 00:40:02,320
Speaker 4: a place see people. It's just like you press a

826
00:40:02,360 --> 00:40:06,480
Speaker 4: button really quickly. It's trying to make your consumption, your

827
00:40:06,520 --> 00:40:10,040
Speaker 4: purchases as friction free so you don't think about them

828
00:40:10,160 --> 00:40:13,480
Speaker 4: at all. And now this is like the end game

829
00:40:13,520 --> 00:40:16,440
Speaker 4: where they can just make shit as expensive as possible

830
00:40:16,880 --> 00:40:20,520
Speaker 4: and you don't notice it until you, like, notice that

831
00:40:20,600 --> 00:40:21,319
Speaker 4: you're out of money.

832
00:40:21,560 --> 00:40:23,319
Speaker 3: Essential spiders are eating a dead body.

833
00:40:23,760 --> 00:40:28,600
Speaker 4: Yeah, exactly, it's just fucking it's like slipped into our bloodstream.

834
00:40:28,920 --> 00:40:31,800
Speaker 4: And then the media's way of dealing with that is

835
00:40:31,920 --> 00:40:35,040
Speaker 4: to be like good news. Yeah, we're gonna spend a

836
00:40:35,120 --> 00:40:37,239
Speaker 4: record amount, it's good for the economy.

837
00:40:37,760 --> 00:40:40,839
Speaker 1: It's crazy to be so down bad financially that even

838
00:40:40,920 --> 00:40:44,080
Speaker 1: our whimsy is suffering from inflation, you know what I mean.

839
00:40:44,600 --> 00:40:47,600
Speaker 1: That should not be a thing where you're like, like,

840
00:40:47,800 --> 00:40:50,279
Speaker 1: being a ghost on Halloween is like, well, I don't

841
00:40:50,320 --> 00:40:52,920
Speaker 1: know if we could. It's either we can afford your

842
00:40:53,000 --> 00:40:55,560
Speaker 1: ghost costume or dinner tonight or.

843
00:40:56,320 --> 00:41:00,360
Speaker 2: Yah yah yeah yeah, And that's already a terrible choice

844
00:41:00,440 --> 00:41:02,680
Speaker 2: that people are, like lower income people are having to make,

845
00:41:02,840 --> 00:41:06,600
Speaker 2: is between food costs or electricity costs right right now.

846
00:41:07,120 --> 00:41:08,960
Speaker 2: And yeah, but again they're like, whoa, everyone's going to

847
00:41:08,960 --> 00:41:11,399
Speaker 2: be spending on average eleven dollars more than last year,

848
00:41:11,760 --> 00:41:12,120
Speaker 2: so in.

849
00:41:12,200 --> 00:41:15,520
Speaker 1: Some ways, this one why terrifying Halloween we've ever had. Actually,

850
00:41:15,560 --> 00:41:18,960
Speaker 1: this is a good tariff riff. There it is.

851
00:41:19,360 --> 00:41:21,440
Speaker 2: Where's that New York Post headline that they're not going

852
00:41:21,480 --> 00:41:24,080
Speaker 2: to talk about their terrifts? We need there's that needs

853
00:41:24,120 --> 00:41:26,520
Speaker 2: to be a liberal shit rag like that that does

854
00:41:26,640 --> 00:41:28,560
Speaker 2: the real punny headlines, no pun intended.

855
00:41:29,680 --> 00:41:32,400
Speaker 4: Most costumes are made overseas, so those tariffs are going

856
00:41:32,440 --> 00:41:35,600
Speaker 4: to range anywhere from five to nineteen percent. Hershey's, which

857
00:41:35,640 --> 00:41:39,279
Speaker 4: makes popular candy brands like reseasoned Kitcat, said that they

858
00:41:39,320 --> 00:41:41,760
Speaker 4: would need to raise prices by double digits to account

859
00:41:41,800 --> 00:41:45,680
Speaker 4: for high cocoa costs and tariff pressures, So they're expecting

860
00:41:45,760 --> 00:41:49,120
Speaker 4: parents may pay double on some kids Halloween costumes because

861
00:41:49,400 --> 00:41:54,080
Speaker 4: there's also it's it is both that, like the tariffs

862
00:41:54,120 --> 00:41:55,919
Speaker 4: have come, and then the thing that we've been talking

863
00:41:55,920 --> 00:41:58,640
Speaker 4: about since the pandemic, like the thing that was shown

864
00:41:59,080 --> 00:42:02,759
Speaker 4: in the pandemic, is that companies will raise prices as

865
00:42:02,880 --> 00:42:06,200
Speaker 4: high as they possibly can, and because of the way

866
00:42:06,280 --> 00:42:10,600
Speaker 4: that people just consume today, they can raise the really

867
00:42:10,680 --> 00:42:14,520
Speaker 4: fucking high and like people who aren't paying attention are

868
00:42:14,680 --> 00:42:18,000
Speaker 4: just spending way too much fucking money on these things.

869
00:42:18,800 --> 00:42:20,520
Speaker 4: It's yeah, that's why.

870
00:42:20,640 --> 00:42:24,839
Speaker 2: Yeah, buy nothing in Facebook marketplace are like just popping now,

871
00:42:24,960 --> 00:42:26,480
Speaker 2: you know what I mean, where you could just be

872
00:42:26,600 --> 00:42:28,000
Speaker 2: like I don't know, man, I'm not going to pay

873
00:42:28,080 --> 00:42:31,279
Speaker 2: twenty dollars for a plastic wig watch this, and then

874
00:42:31,360 --> 00:42:33,680
Speaker 2: someone's like, oh you can just come come take this thing.

875
00:42:33,719 --> 00:42:35,760
Speaker 4: I don't come through. Yeah, yeah, exactly.

876
00:42:35,960 --> 00:42:37,440
Speaker 1: There's gonna be a lot of kids who are dressed

877
00:42:37,520 --> 00:42:39,840
Speaker 1: up as they're like dead grandpa's or something. You know,

878
00:42:39,960 --> 00:42:43,040
Speaker 1: we're like this sweater, Yeah, we had the sweater in

879
00:42:43,120 --> 00:42:45,960
Speaker 1: the closet that be your grandfather's. Guess what your jack? Now?

880
00:42:46,120 --> 00:42:51,680
Speaker 4: Yeah that is my grandfather's name. So yeah, and I

881
00:42:51,800 --> 00:42:53,960
Speaker 4: do have one of his sport codes in my closet.

882
00:42:54,239 --> 00:42:55,000
Speaker 1: Okay, well so.

883
00:42:55,120 --> 00:42:57,680
Speaker 2: Yeah, look, hey man, that's a good lesson for your kids.

884
00:42:57,920 --> 00:42:59,640
Speaker 2: Be like, hey, look, I know you guys wanted to

885
00:42:59,680 --> 00:43:03,720
Speaker 2: be some thing from Sinners this year weapons your favorite

886
00:43:03,760 --> 00:43:06,719
Speaker 2: movie kids, But you know we're gonna go back in

887
00:43:06,760 --> 00:43:09,759
Speaker 2: our closets and Daddy's gonna be his grandpa. And I

888
00:43:09,800 --> 00:43:11,560
Speaker 2: think and I got some of Grandpa's close.

889
00:43:11,360 --> 00:43:11,759
Speaker 3: For you guys.

890
00:43:11,840 --> 00:43:14,520
Speaker 4: Yeah, yeah, yeah, you can be little Grandpa here where

891
00:43:14,560 --> 00:43:17,120
Speaker 4: Grandpa's shoot. I do think weapons is a great idea

892
00:43:17,239 --> 00:43:20,480
Speaker 4: for a budget Halloween costume because your kids already have

893
00:43:20,600 --> 00:43:23,520
Speaker 4: the pajamas. You just need a little like kind of

894
00:43:24,120 --> 00:43:26,439
Speaker 4: make the eyes and then just tell them to run

895
00:43:26,480 --> 00:43:28,160
Speaker 4: with their hands behind their back.

896
00:43:28,239 --> 00:43:28,399
Speaker 1: Yeah.

897
00:43:28,800 --> 00:43:29,719
Speaker 4: Easy, and they're good.

898
00:43:30,840 --> 00:43:33,560
Speaker 1: Also, like you know, I think this will this will

899
00:43:33,600 --> 00:43:35,600
Speaker 1: be for adults. It will be a great Halloween for

900
00:43:35,680 --> 00:43:39,120
Speaker 1: Sinners costumes maybe, But also there's gonna be some kid

901
00:43:39,520 --> 00:43:42,520
Speaker 1: who's like a white kid who accidentally saw Sinners too early,

902
00:43:43,160 --> 00:43:45,480
Speaker 1: was just gonna get canceled before they even real They're

903
00:43:45,520 --> 00:43:48,560
Speaker 1: gonna be like, I'm Jonathan Majors both roles in Sinners.

904
00:43:48,600 --> 00:43:51,000
Speaker 1: They're like, oh, I don't know if you could be that.

905
00:43:51,160 --> 00:43:53,680
Speaker 1: So it's probably for the best that some families can't

906
00:43:53,680 --> 00:43:55,240
Speaker 1: afford their like Sinners Halloween.

907
00:43:55,560 --> 00:43:57,680
Speaker 2: Yeah, or they'll just see them. They're like what do

908
00:43:57,760 --> 00:44:01,960
Speaker 2: you John Dillinger or something? Is this They're like no,

909
00:44:02,120 --> 00:44:03,320
Speaker 2: I'm not, Like, no, you are not.

910
00:44:03,920 --> 00:44:07,759
Speaker 4: Those are costumes that I gotta say, like going to

911
00:44:08,400 --> 00:44:11,200
Speaker 4: Spirit Halloween for a Sinner's costume, like those costumes are

912
00:44:11,320 --> 00:44:15,799
Speaker 4: beautiful and hard to pull off to be able to yeah,

913
00:44:15,920 --> 00:44:19,800
Speaker 4: like they have just like beautifully appointed suits, like the

914
00:44:20,160 --> 00:44:23,880
Speaker 4: example that we have here are stack and smoke, and

915
00:44:24,000 --> 00:44:26,520
Speaker 4: it's like, I don't like, you better just have like

916
00:44:26,520 --> 00:44:30,080
Speaker 4: a really nice suit and like be be ripped, you know,

917
00:44:30,280 --> 00:44:33,080
Speaker 4: and look like Michael B. Jordan's, because otherwise this shit

918
00:44:33,200 --> 00:44:36,320
Speaker 4: is not gonna scan low low cost centers.

919
00:44:36,360 --> 00:44:38,720
Speaker 1: Costume you lay on the ground and have someone spit.

920
00:44:38,560 --> 00:44:42,120
Speaker 4: In your mouth, people, Yeah, that's not a bad idea

921
00:44:43,280 --> 00:44:43,680
Speaker 4: for free.

922
00:44:44,360 --> 00:44:45,920
Speaker 1: That's free ninety night. All right.

923
00:44:46,560 --> 00:44:49,480
Speaker 4: My wife and I are doing a joint costume where

924
00:44:49,520 --> 00:44:51,440
Speaker 4: she just has her shoes off and I'm red Man.

925
00:44:52,800 --> 00:44:53,759
Speaker 3: With binoculars.

926
00:44:58,880 --> 00:45:02,880
Speaker 4: Yeah yeah, but yeah, yeah, anyways, it's it just seems

927
00:45:02,960 --> 00:45:05,759
Speaker 4: like the only thing that hasn't gone up. Shout out

928
00:45:05,760 --> 00:45:08,800
Speaker 4: to Home Depot their version of the U of the

929
00:45:08,880 --> 00:45:10,880
Speaker 4: one dollar and fifty cent hot dog that they're not

930
00:45:11,040 --> 00:45:14,320
Speaker 4: raising prices on is the twelve foot skeleton. But of

931
00:45:14,400 --> 00:45:17,680
Speaker 4: course it was already obsseeing the expensive Yeah, I wonder.

932
00:45:17,440 --> 00:45:20,279
Speaker 2: What the margins are on that too, because clear they're like, look, bro,

933
00:45:20,800 --> 00:45:26,000
Speaker 2: we're on making We're making like seventy x twelve foot

934
00:45:26,120 --> 00:45:28,440
Speaker 2: plastic piece of shit. I think we can absorb a

935
00:45:28,560 --> 00:45:29,200
Speaker 2: fucking terrace.

936
00:45:29,840 --> 00:45:32,840
Speaker 4: The witch is still out here and still working. I

937
00:45:32,920 --> 00:45:36,320
Speaker 4: bought that witch four years ago. Now the ship is

938
00:45:36,360 --> 00:45:40,359
Speaker 4: all like sun faded. Then I have a twelve foot witch.

939
00:45:40,440 --> 00:45:44,160
Speaker 4: I could never remember to get the twelve foot skeleton

940
00:45:44,200 --> 00:45:46,640
Speaker 4: in time, So we have a twelve foot witch that's

941
00:45:46,719 --> 00:45:48,959
Speaker 4: like up on a broom, big hit with the kids

942
00:45:49,000 --> 00:45:53,040
Speaker 4: in the neighborhood. Still like there. The purple cape is

943
00:45:53,200 --> 00:45:57,360
Speaker 4: like now a like dull gray. But eyes still come on.

944
00:45:58,000 --> 00:46:02,279
Speaker 4: Still the censor still makes it sing. Yeah, you've still

945
00:46:02,360 --> 00:46:06,239
Speaker 4: got it after all these years. Anyways, it is my

946
00:46:06,400 --> 00:46:09,480
Speaker 4: number one prize possession. Damn, you have a kid right

947
00:46:10,080 --> 00:46:11,719
Speaker 4: to two kids, two kids.

948
00:46:12,120 --> 00:46:17,319
Speaker 3: One but only one tattoo. Guess what it's of that way,

949
00:46:17,800 --> 00:46:21,759
Speaker 3: you guys, it's down there.

950
00:46:23,760 --> 00:46:26,000
Speaker 4: Shout out to Lowe's trying to get in on the game.

951
00:46:26,120 --> 00:46:30,000
Speaker 4: They have a twelve foot bone collector, which to my

952
00:46:30,960 --> 00:46:34,760
Speaker 4: looks like shit and costs four hundred and fifty dollars.

953
00:46:35,320 --> 00:46:38,600
Speaker 1: It's like, I get the face is it's too real?

954
00:46:39,160 --> 00:46:40,040
Speaker 3: Is the problem with this?

955
00:46:40,280 --> 00:46:43,400
Speaker 2: Like the face is upsetting, Like it looks like, you know,

956
00:46:43,520 --> 00:46:47,080
Speaker 2: like shitty Edward scissor Hands if he was like like

957
00:46:47,160 --> 00:46:48,680
Speaker 2: a Brooklyn hipster in twenty twelve.

958
00:46:49,520 --> 00:46:51,040
Speaker 4: But it does kind of look like that.

959
00:46:51,719 --> 00:46:53,319
Speaker 3: And but the other thing too, is like look at

960
00:46:53,360 --> 00:46:56,000
Speaker 3: his weak ass legs. You know, this little look like shit.

961
00:46:56,160 --> 00:46:58,120
Speaker 2: At least the skeleton, you know what you're getting, Like, yeah,

962
00:46:58,120 --> 00:47:00,279
Speaker 2: you're a bony skeleton. But these guys will to be

963
00:47:00,360 --> 00:47:03,239
Speaker 2: fucking intimidating and you're like, dude, I'll kick your knee

964
00:47:03,280 --> 00:47:04,080
Speaker 2: out and you'll see.

965
00:47:04,080 --> 00:47:06,600
Speaker 4: Standing like Trump, like you know how Trump stands with

966
00:47:06,680 --> 00:47:09,279
Speaker 4: his legs like forward, kind of like trying to do

967
00:47:09,400 --> 00:47:10,680
Speaker 4: that like Moonwalker, You got.

968
00:47:10,560 --> 00:47:11,520
Speaker 3: Old lineman knees.

969
00:47:12,120 --> 00:47:18,359
Speaker 1: Okay, easy, I don't need to be catching strains over

970
00:47:18,400 --> 00:47:20,360
Speaker 1: here because you guys don't like a skeleton. That's what

971
00:47:20,600 --> 00:47:21,120
Speaker 1: sign for.

972
00:47:22,960 --> 00:47:25,560
Speaker 4: All right, let's take a quick break. We'll come back

973
00:47:25,719 --> 00:47:28,600
Speaker 4: and we'll talk about our new robot overlords. We'll be

974
00:47:28,719 --> 00:47:42,440
Speaker 4: right back. And we're back. We're back, and way mo

975
00:47:42,680 --> 00:47:45,359
Speaker 4: is in a bit of hot water. I guess yeah,

976
00:47:45,360 --> 00:47:47,960
Speaker 4: I know. The cops caught them doing an illegal U

977
00:47:48,040 --> 00:47:50,719
Speaker 4: turn and oh wait, they just let him go.

978
00:47:51,160 --> 00:47:53,359
Speaker 2: This is just kind of a silly story because it's

979
00:47:53,560 --> 00:47:57,560
Speaker 2: the only reason this was making news is the cops.

980
00:47:57,360 --> 00:47:58,439
Speaker 3: Pull this car over.

981
00:47:58,680 --> 00:48:01,120
Speaker 2: They walk up to it and they're like scratching their

982
00:48:01,200 --> 00:48:07,320
Speaker 2: heads like a cartoon where our driver, what do we

983
00:48:07,440 --> 00:48:10,239
Speaker 2: do now, Like truly, they posted this on their own

984
00:48:10,239 --> 00:48:12,520
Speaker 2: Facebook pagers, like we didn't know what to do, guys.

985
00:48:12,600 --> 00:48:15,480
Speaker 2: It's like there's nobody in there, so we just had

986
00:48:15,520 --> 00:48:17,919
Speaker 2: to so we just kind of fucking let it fuck

987
00:48:18,000 --> 00:48:19,400
Speaker 2: off and do its thing.

988
00:48:20,800 --> 00:48:22,680
Speaker 1: That's how you know it's a white way moh got away,

989
00:48:23,160 --> 00:48:23,840
Speaker 1: Yeah exactly.

990
00:48:24,760 --> 00:48:27,080
Speaker 2: But like they didn't even give way Mo the company

991
00:48:27,160 --> 00:48:29,600
Speaker 2: a citation, right, you know what I mean, which is

992
00:48:29,640 --> 00:48:31,160
Speaker 2: like weird, Like, oh, I guess we'll have to like

993
00:48:31,440 --> 00:48:34,120
Speaker 2: all of our cars are programmed to abide by the

994
00:48:34,239 --> 00:48:36,360
Speaker 2: like the laws. You're like, well, clearly this thing busted

995
00:48:36,400 --> 00:48:39,719
Speaker 2: an illegal U turn, so it's not. But it's like,

996
00:48:39,760 --> 00:48:42,239
Speaker 2: what kind of fuck the loophole is this, you know

997
00:48:42,280 --> 00:48:45,120
Speaker 2: what I mean? Like it's been deemed road worthy enough

998
00:48:45,200 --> 00:48:49,279
Speaker 2: to fucking be autonomously operated on the roads, Like there

999
00:48:49,320 --> 00:48:51,359
Speaker 2: has to be some way that the quote unquote driver,

1000
00:48:52,120 --> 00:48:54,560
Speaker 2: Like where's there's no accountability because no driver?

1001
00:48:55,080 --> 00:48:57,360
Speaker 4: Yeah, you would think they would have to have some

1002
00:48:57,560 --> 00:49:01,880
Speaker 4: protocol in place for when the way most start running

1003
00:49:01,920 --> 00:49:04,759
Speaker 4: red lights or doing you know, doing illegal thing. You've

1004
00:49:04,760 --> 00:49:08,279
Speaker 4: seen it as entirely possible. Yeah, what if they just

1005
00:49:08,400 --> 00:49:10,320
Speaker 4: like start getting weird? Like in the middle of that,

1006
00:49:10,400 --> 00:49:12,960
Speaker 4: you look at your window to takeovers and yeah.

1007
00:49:14,080 --> 00:49:15,680
Speaker 3: There's nobody in these cars.

1008
00:49:16,440 --> 00:49:18,680
Speaker 1: Now correct me if I'm wrong. This is how Blade

1009
00:49:18,719 --> 00:49:20,919
Speaker 1: Runner starts, right. It's like a cop has to track

1010
00:49:21,000 --> 00:49:24,000
Speaker 1: down a way more doesn't kill somebody, and then they

1011
00:49:24,080 --> 00:49:25,960
Speaker 1: got to track down its owners and then they find

1012
00:49:25,960 --> 00:49:28,080
Speaker 1: out that everybody's around. I haven't seen blade running.

1013
00:49:27,800 --> 00:49:29,680
Speaker 4: A Yeah, but the way MO would have to go

1014
00:49:29,960 --> 00:49:33,680
Speaker 4: undercover as a normal car and like pretend like it's

1015
00:49:33,719 --> 00:49:36,719
Speaker 4: a normal car, it wouldn't actually know that it wasn't

1016
00:49:36,760 --> 00:49:40,520
Speaker 4: a normal car. Yeah yeah, yeah, yeah, it's it is

1017
00:49:40,640 --> 00:49:44,719
Speaker 4: in a normal like functioning civilization. The way that this

1018
00:49:44,840 --> 00:49:47,200
Speaker 4: would work is they would come up with the idea,

1019
00:49:47,360 --> 00:49:49,719
Speaker 4: they would test the way mos a bunch with like

1020
00:49:49,800 --> 00:49:52,640
Speaker 4: a driver ready to take over at all times, and

1021
00:49:52,800 --> 00:49:55,960
Speaker 4: then they would have to like do legislation to like

1022
00:49:56,120 --> 00:50:01,400
Speaker 4: get the world ready for this technology. And instead, the

1023
00:50:01,480 --> 00:50:04,560
Speaker 4: way we like hit the edge of the possibilities around

1024
00:50:04,640 --> 00:50:07,839
Speaker 4: this is just like a confused cop walks up, looks

1025
00:50:07,880 --> 00:50:11,960
Speaker 4: through the window and is leg and then just turns

1026
00:50:12,040 --> 00:50:13,480
Speaker 4: around like let's it go.

1027
00:50:14,080 --> 00:50:18,000
Speaker 1: Yeah, this is how do you How do y'all feel

1028
00:50:18,000 --> 00:50:21,680
Speaker 1: about Like obviously I'm guessing We're all pretty much on

1029
00:50:21,719 --> 00:50:23,759
Speaker 1: the same page as far as like all this stuff

1030
00:50:23,840 --> 00:50:26,279
Speaker 1: is so recked, Like this technology could be helpful, but

1031
00:50:26,360 --> 00:50:28,719
Speaker 1: it's so reckless. Like you just said, do you think

1032
00:50:28,800 --> 00:50:30,640
Speaker 1: we speed up or do we slow down? Do you

1033
00:50:30,680 --> 00:50:33,000
Speaker 1: think there will ever be a thing where we walk

1034
00:50:33,080 --> 00:50:36,120
Speaker 1: back from this or are we just now full speed ahead?

1035
00:50:36,480 --> 00:50:40,399
Speaker 1: Guess what? Everything's automated? I mean, honestly, even like porn

1036
00:50:40,440 --> 00:50:42,880
Speaker 1: stars are using like robots to make their dicks bigger,

1037
00:50:42,880 --> 00:50:44,960
Speaker 1: and shit, I don't yeah, sorry, that was actually the

1038
00:50:44,960 --> 00:50:46,680
Speaker 1: second to last thing I googled. So that's why.

1039
00:50:46,560 --> 00:50:50,040
Speaker 4: They're using robots to make their dicks.

1040
00:50:50,440 --> 00:50:52,560
Speaker 1: There's like how to make.

1041
00:50:52,520 --> 00:50:56,160
Speaker 2: Dick bigger with robot was my last Google search via

1042
00:50:56,239 --> 00:50:57,480
Speaker 2: I'm sorry via robot.

1043
00:51:00,480 --> 00:51:04,880
Speaker 1: Like, man, let's just click the episode. That's the episode,

1044
00:51:05,160 --> 00:51:08,919
Speaker 1: no context that Google search?

1045
00:51:09,880 --> 00:51:11,360
Speaker 3: All right, man, has been great having you.

1046
00:51:11,400 --> 00:51:14,840
Speaker 4: Man, it's like.

1047
00:51:15,000 --> 00:51:17,560
Speaker 1: Machines they use so they can always get erections.

1048
00:51:17,640 --> 00:51:22,480
Speaker 2: Okay, oh sure, sure, but it's not old school machinery,

1049
00:51:22,920 --> 00:51:25,160
Speaker 2: not yet. Okay, well, I think I mean My thing

1050
00:51:25,320 --> 00:51:28,200
Speaker 2: is like they're obviously the amount of capital that's been

1051
00:51:28,280 --> 00:51:31,560
Speaker 2: spent and wasted on AI is like they're they're into

1052
00:51:31,680 --> 00:51:34,439
Speaker 2: deep now. So that this hash to work or they're

1053
00:51:34,520 --> 00:51:37,520
Speaker 2: going to be just economic gramifications that are like gonna

1054
00:51:37,520 --> 00:51:39,839
Speaker 2: make the dot com bubble look like fucking a day

1055
00:51:39,840 --> 00:51:40,359
Speaker 2: at the park.

1056
00:51:41,160 --> 00:51:44,920
Speaker 4: And it's essentially using what AI stands for is like

1057
00:51:45,160 --> 00:51:49,960
Speaker 4: using the best technology that they have to fool people

1058
00:51:50,040 --> 00:51:52,400
Speaker 4: into thinking that the technology is even smarter.

1059
00:51:52,719 --> 00:51:54,600
Speaker 3: Is a person is a person.

1060
00:51:54,760 --> 00:51:58,719
Speaker 4: I am person, So I feel like it's better situated

1061
00:51:58,840 --> 00:52:02,239
Speaker 4: to maintain a bubble. I do feel like at a

1062
00:52:02,320 --> 00:52:08,239
Speaker 4: certain point the patience or you know, the credulity of

1063
00:52:08,400 --> 00:52:12,160
Speaker 4: people is going to run out. But like in generally,

1064
00:52:12,360 --> 00:52:14,239
Speaker 4: are we going to take a step back from like

1065
00:52:14,480 --> 00:52:19,520
Speaker 4: just rapidly advancing technology and just like letting reckless technology

1066
00:52:19,719 --> 00:52:22,400
Speaker 4: lead the way? I think, like really bad shit's going

1067
00:52:22,480 --> 00:52:26,200
Speaker 4: to have to start happening for that, like to I guess,

1068
00:52:26,680 --> 00:52:28,759
Speaker 4: really bad shit's going to have to start happening too

1069
00:52:28,920 --> 00:52:32,800
Speaker 4: rich people, I guess. Let me clarify that in America.

1070
00:52:33,000 --> 00:52:33,640
Speaker 1: You know, in other.

1071
00:52:33,560 --> 00:52:36,320
Speaker 4: Countries they have I think, more reasonable laws, but in

1072
00:52:36,400 --> 00:52:41,360
Speaker 4: America the only things that matter are corporations, which is

1073
00:52:41,400 --> 00:52:43,560
Speaker 4: why it's like front page news. If someone breaks the

1074
00:52:43,600 --> 00:52:48,799
Speaker 4: window of a bank or burns away Mo exactly way

1075
00:52:48,840 --> 00:52:52,279
Speaker 4: Mo's are people. We believe here at The Daily Gus,

1076
00:52:52,320 --> 00:52:54,560
Speaker 4: we believe that in the near future.

1077
00:52:54,520 --> 00:52:56,920
Speaker 3: Way Mo's are people, Way Moos are my mother, more

1078
00:52:56,960 --> 00:52:59,120
Speaker 3: than half of the people on Earth will be AI.

1079
00:53:00,160 --> 00:53:04,279
Speaker 3: From a real news story, Oh no, yeah, yeah, but yeah.

1080
00:53:04,440 --> 00:53:05,759
Speaker 2: I think it's just like the thing we were talking

1081
00:53:05,760 --> 00:53:07,960
Speaker 2: about in the Trending episode where Peter Tiel's like the

1082
00:53:08,400 --> 00:53:10,839
Speaker 2: lack of innovation. It's like, no, all these people are

1083
00:53:10,880 --> 00:53:13,840
Speaker 2: focused on like things that will make money, you know,

1084
00:53:13,880 --> 00:53:15,800
Speaker 2: and there are people that are trying to innovate for

1085
00:53:16,000 --> 00:53:19,680
Speaker 2: like the betterment of our world, right, And I think unfortunately,

1086
00:53:19,760 --> 00:53:21,920
Speaker 2: right now, all the emphasis is like, well, how do

1087
00:53:22,000 --> 00:53:24,200
Speaker 2: I make money with technology, rather than how to I

1088
00:53:24,239 --> 00:53:27,439
Speaker 2: improve the world with technologies? Like we're past We're past

1089
00:53:27,520 --> 00:53:30,400
Speaker 2: that like era where people were like I've invented something

1090
00:53:30,560 --> 00:53:32,800
Speaker 2: to help the world. It's like I came up with

1091
00:53:32,880 --> 00:53:36,680
Speaker 2: an app to fuck over whatever, and you're like Jesus Christ, right.

1092
00:53:37,120 --> 00:53:38,840
Speaker 1: Like, you know how kids still have their innocence. I

1093
00:53:38,920 --> 00:53:39,920
Speaker 1: have an app to get rid of that.

1094
00:53:40,080 --> 00:53:42,920
Speaker 4: Yeah, just talk it out real fast on Instagram.

1095
00:53:43,040 --> 00:53:43,600
Speaker 3: You're gonna love it.

1096
00:53:45,719 --> 00:53:48,120
Speaker 4: An app that just covers uh, gives you a kid

1097
00:53:48,200 --> 00:53:50,719
Speaker 4: The talk shows them their first porn video and tells

1098
00:53:50,760 --> 00:53:53,840
Speaker 4: them Santa Claus ain't real in the same one quick movement.

1099
00:53:54,120 --> 00:53:58,480
Speaker 1: Oh my god. Yeah, what's crazy is that's not the thing.

1100
00:53:58,680 --> 00:54:01,680
Speaker 1: Someone is going to see this. That's genius. Yeah. And

1101
00:54:02,080 --> 00:54:04,239
Speaker 1: then you, as a parent who brought the person into

1102
00:54:04,280 --> 00:54:07,160
Speaker 1: the world, doesn't have to be embarrassed to do your job. No,

1103
00:54:07,360 --> 00:54:09,839
Speaker 1: I just I just put this VR headset on them

1104
00:54:10,080 --> 00:54:10,920
Speaker 1: and then knock out.

1105
00:54:10,840 --> 00:54:14,879
Speaker 4: Those awkward conversations, yeah settings, to make sure they really

1106
00:54:14,920 --> 00:54:15,520
Speaker 4: get the point.

1107
00:54:16,719 --> 00:54:21,640
Speaker 3: Do you remember a clockwork orange. It's sort of like

1108
00:54:21,800 --> 00:54:23,200
Speaker 3: the ludovic never mind anyway.

1109
00:54:23,320 --> 00:54:25,200
Speaker 2: I just like that, but with all sort of like,

1110
00:54:25,440 --> 00:54:27,279
Speaker 2: you know, conversations you need to have with your children

1111
00:54:27,320 --> 00:54:28,359
Speaker 2: to help them understand the world.

1112
00:54:28,719 --> 00:54:31,120
Speaker 4: I don't even know who this lud DeVico guy is.

1113
00:54:31,239 --> 00:54:37,880
Speaker 4: All right, hey, Ludovico technique. Whoa hey, let's talk. So

1114
00:54:38,320 --> 00:54:41,080
Speaker 4: this is time once again for a weekly check in

1115
00:54:41,440 --> 00:54:44,560
Speaker 4: with the two thousand and two Al Pacino movie Simone

1116
00:54:44,800 --> 00:54:51,320
Speaker 4: or sim One s the number one M zero N E.

1117
00:54:51,640 --> 00:54:53,960
Speaker 4: Is that how it's written? I believe, just to drive

1118
00:54:54,000 --> 00:54:58,600
Speaker 4: it home, yeah yeah, yeah. So this is a movie

1119
00:54:58,719 --> 00:55:02,279
Speaker 4: that doesn't really exists in the share consciousness. It's about

1120
00:55:02,280 --> 00:55:06,279
Speaker 4: a director who becomes frustrated with a movie star and

1121
00:55:06,560 --> 00:55:09,880
Speaker 4: replaces her with an AI actress named Simone as in

1122
00:55:10,080 --> 00:55:16,040
Speaker 4: Simulation one, sim One Simmone. There you go, fucking mind

1123
00:55:16,120 --> 00:55:20,040
Speaker 4: blow he did it. I don't remember this movie again,

1124
00:55:20,440 --> 00:55:25,160
Speaker 4: just like ever, I don't know. Man, sure whatever it.

1125
00:55:25,320 --> 00:55:26,880
Speaker 3: Like, Man, we just had nine to eleven. Man, do

1126
00:55:26,920 --> 00:55:27,440
Speaker 3: whatever you want?

1127
00:55:27,520 --> 00:55:31,200
Speaker 4: Yeah right, yeah, I'm pretty sure. The way it works

1128
00:55:31,280 --> 00:55:33,120
Speaker 4: is he kind of like mashes some keys on a

1129
00:55:33,160 --> 00:55:40,719
Speaker 4: computer keyboard and barks digitize into a microphone, make it

1130
00:55:40,800 --> 00:55:46,279
Speaker 4: have a great ass in d and then it just

1131
00:55:46,400 --> 00:55:53,680
Speaker 4: like creates a a digital actress and yeah, I don't know.

1132
00:55:54,040 --> 00:55:55,440
Speaker 2: And then the media that it's like it sort of

1133
00:55:55,480 --> 00:55:57,920
Speaker 2: becomes this thing where it's like, who's a Simone? Oh

1134
00:55:57,960 --> 00:56:00,840
Speaker 2: my gosh, he's so secretive and everyone gets so fucking

1135
00:56:00,960 --> 00:56:03,400
Speaker 2: obsessed with the idea of who this person is that

1136
00:56:03,480 --> 00:56:06,759
Speaker 2: that it's like, oh, interesting, Okay, now everyone wants to

1137
00:56:06,880 --> 00:56:11,400
Speaker 2: know where the reclusive computer program is or yeah, wheet, he's.

1138
00:56:11,280 --> 00:56:14,800
Speaker 4: Like working in an empty warehouse with just two movie

1139
00:56:14,880 --> 00:56:18,160
Speaker 4: screens and a keyboard. And then like that seems to

1140
00:56:18,239 --> 00:56:20,040
Speaker 4: be the the energy.

1141
00:56:20,680 --> 00:56:24,080
Speaker 1: So have I none of you have seen this? Rightmber?

1142
00:56:24,160 --> 00:56:27,200
Speaker 4: When I think I saw it back then does.

1143
00:56:27,120 --> 00:56:29,520
Speaker 1: He Okay, so I'm guessing I haven't seen this. So

1144
00:56:29,640 --> 00:56:33,240
Speaker 1: I'm guessing one of two things happened. Either he somehow

1145
00:56:33,320 --> 00:56:36,000
Speaker 1: has sex with the AI and like becomes sentient whatever,

1146
00:56:36,440 --> 00:56:37,839
Speaker 1: or it kills him. Am I right?

1147
00:56:38,440 --> 00:56:38,879
Speaker 3: I don't.

1148
00:56:39,160 --> 00:56:43,359
Speaker 4: I don't remember it. I'm sure there's like a lot

1149
00:56:43,440 --> 00:56:46,800
Speaker 4: of playful flirting. It like almost kills his career. I

1150
00:56:46,960 --> 00:56:49,759
Speaker 4: can't imagine, like because it's not I don't think it's

1151
00:56:49,800 --> 00:56:52,800
Speaker 4: a thriller. I think it's like a fun sort of

1152
00:56:53,560 --> 00:56:59,600
Speaker 4: remember that movie like ed TV, Just like yeah, satirical fun,

1153
00:57:00,280 --> 00:57:04,080
Speaker 4: like what the world sure is getting crazy? But yeah,

1154
00:57:04,239 --> 00:57:06,840
Speaker 4: I don't know. Everyone forgot about this movie, including I

1155
00:57:06,880 --> 00:57:07,600
Speaker 4: have no idea.

1156
00:57:07,400 --> 00:57:11,600
Speaker 2: What no, I mean, there is some I have just

1157
00:57:11,760 --> 00:57:15,120
Speaker 2: reading the description, like wait, what the fuck is going on?

1158
00:57:15,680 --> 00:57:18,520
Speaker 2: There's something about zoophilia in it. I'm like, wait, what

1159
00:57:18,840 --> 00:57:21,560
Speaker 2: the fuck? Because I think it gets away from him

1160
00:57:21,720 --> 00:57:25,200
Speaker 2: and she ends up simone becomes even more famous, simultaneously

1161
00:57:25,240 --> 00:57:28,200
Speaker 2: becoming a double winner of the Academy Award for Best Actress,

1162
00:57:28,320 --> 00:57:29,320
Speaker 2: tied with herself.

1163
00:57:31,240 --> 00:57:34,920
Speaker 4: Yeah, so this was just the what we could see

1164
00:57:35,440 --> 00:57:39,200
Speaker 4: their pipe dream like all the way back there, Because

1165
00:57:39,200 --> 00:57:43,560
Speaker 4: this is what Like David Zaslov saw this and suddenly

1166
00:57:44,040 --> 00:57:47,480
Speaker 4: this is when he became interested in being a film executive.

1167
00:57:48,240 --> 00:57:53,880
Speaker 4: There it is, we'll create, we'll remove the humans, create digital,

1168
00:57:54,360 --> 00:57:59,040
Speaker 4: and they will win Best Actress. I can't imagine the

1169
00:57:59,200 --> 00:58:04,480
Speaker 4: performance by the AI actress in this is good, you know,

1170
00:58:05,000 --> 00:58:10,760
Speaker 4: because the performances by AI actors currently aren't good. No

1171
00:58:11,240 --> 00:58:13,840
Speaker 4: I have. I've yet to see one where I was like, oh,

1172
00:58:13,920 --> 00:58:16,360
Speaker 4: that was like they're doing something interesting there.

1173
00:58:16,800 --> 00:58:18,640
Speaker 2: I mean it, but it is a matter of time

1174
00:58:18,800 --> 00:58:21,600
Speaker 2: before because remember we went we started off with being

1175
00:58:21,640 --> 00:58:24,560
Speaker 2: like Will Smith doesn't even know how to eat spaghetti. Sure,

1176
00:58:25,000 --> 00:58:27,640
Speaker 2: and now like it is getting slick and it's getting

1177
00:58:27,720 --> 00:58:29,400
Speaker 2: that they can't eat spaghetti.

1178
00:58:29,520 --> 00:58:33,000
Speaker 3: Now ish, it's a full blown wow. It's using the

1179
00:58:33,080 --> 00:58:35,680
Speaker 3: spoon and the forty eat spaghetti and curly you know.

1180
00:58:35,880 --> 00:58:39,400
Speaker 1: Wow. Other you have ever even been tricked by AI yet,

1181
00:58:39,480 --> 00:58:41,560
Speaker 1: Like you've seen a video like that's crazy and then

1182
00:58:41,600 --> 00:58:43,800
Speaker 1: you're like, oh fuck, and then you just you feel

1183
00:58:43,800 --> 00:58:46,600
Speaker 1: like you have to like explain to everyone throughout your

1184
00:58:46,680 --> 00:58:49,680
Speaker 1: day and just been like I'm having a terrible one.

1185
00:58:50,080 --> 00:58:52,000
Speaker 1: I got tricked by a video. I saw a baby

1186
00:58:52,000 --> 00:58:54,400
Speaker 1: in an alligator's mouth and then it crawled out of

1187
00:58:54,440 --> 00:58:55,680
Speaker 1: the alligator.

1188
00:58:55,320 --> 00:58:58,000
Speaker 3: And I saw this black dude fighting gators in the swamp.

1189
00:58:58,160 --> 00:58:59,520
Speaker 3: There's like one there's.

1190
00:59:01,640 --> 00:59:05,600
Speaker 5: The ship out all I got fulled big time on

1191
00:59:05,800 --> 00:59:13,360
Speaker 5: this show, Ie you get time.

1192
00:59:14,000 --> 00:59:14,640
Speaker 1: What happened?

1193
00:59:15,040 --> 00:59:17,880
Speaker 4: We do our own overrated underrated on Monday morning? And

1194
00:59:18,160 --> 00:59:22,440
Speaker 4: my underrated was how much animals are Just like seeing

1195
00:59:22,560 --> 00:59:29,760
Speaker 4: animals discover trampolines. Yeah, there's like all these videos all

1196
00:59:29,760 --> 00:59:33,000
Speaker 4: of a sudden, the people are forwarded to me and

1197
00:59:33,600 --> 00:59:36,160
Speaker 4: I do there there is one of my favorite genres

1198
00:59:36,200 --> 00:59:39,360
Speaker 4: of videos, like from early YouTube days, is just like

1199
00:59:40,000 --> 00:59:43,640
Speaker 4: ring camera videos of bears discovering hammocks and like knowing

1200
00:59:43,720 --> 00:59:46,920
Speaker 4: what to do with themselves. Just they do an amazing

1201
00:59:47,040 --> 00:59:50,560
Speaker 4: job of like expressing the awkwardness of like being in

1202
00:59:50,680 --> 00:59:53,360
Speaker 4: a hammock and like the unsteadiness of like trying to

1203
00:59:53,400 --> 00:59:55,680
Speaker 4: get into a hammock. And but then they have a

1204
00:59:55,800 --> 00:59:58,320
Speaker 4: fucking blast swinging on the hammock. And then like I

1205
00:59:58,360 --> 01:00:03,240
Speaker 4: started seeing these andimals getting on trampolines, and I was like, guys,

1206
01:00:03,760 --> 01:00:07,320
Speaker 4: we got a new banger out here. Animals on trampolines. Yeah,

1207
01:00:07,440 --> 01:00:11,280
Speaker 4: And as I was presenting this to the world, super

1208
01:00:11,360 --> 01:00:14,960
Speaker 4: producer Catherine Law came in and was like, I think

1209
01:00:15,040 --> 01:00:17,120
Speaker 4: that's saying man, yeah, and then we had.

1210
01:00:19,000 --> 01:00:19,400
Speaker 3: Jacket.

1211
01:00:19,680 --> 01:00:22,400
Speaker 4: Yeah exactly, that's so worked up.

1212
01:00:22,840 --> 01:00:25,720
Speaker 1: That's such an insidious lie, like cause you're right, there's

1213
01:00:25,760 --> 01:00:29,040
Speaker 1: not a big jump from ring camera bear and a

1214
01:00:29,120 --> 01:00:32,960
Speaker 1: hammock to like rabbits or cats or whatever on a trampoline.

1215
01:00:33,320 --> 01:00:35,919
Speaker 1: So like really they're just slipping in there and be like, hey,

1216
01:00:36,360 --> 01:00:38,120
Speaker 1: you know how your aunt is on Facebook all the

1217
01:00:38,200 --> 01:00:40,840
Speaker 1: time a little bit too much. We're gonna we're gonna

1218
01:00:41,480 --> 01:00:43,840
Speaker 1: AI peel her now. She's not even gonna know. She's

1219
01:00:43,840 --> 01:00:46,480
Speaker 1: gonna be like, there's bunnies on the trampolines. You need

1220
01:00:46,560 --> 01:00:48,560
Speaker 1: to cover my trampoline covers.

1221
01:00:48,840 --> 01:00:53,120
Speaker 3: Yeah, I'm so cynical just now. With AI, I'm always

1222
01:00:53,200 --> 01:00:55,600
Speaker 3: like the second I'm like, oh this is weird, I'm like,

1223
01:00:55,880 --> 01:00:57,440
Speaker 3: I'm like, let me look at the fingers.

1224
01:00:57,480 --> 01:00:58,680
Speaker 1: How are the windows shaped?

1225
01:00:58,800 --> 01:01:01,040
Speaker 3: Is that an actual door or is that how anything

1226
01:01:01,160 --> 01:01:01,560
Speaker 3: is built?

1227
01:01:01,880 --> 01:01:04,439
Speaker 1: That's good, That's what that's what we all should be doing.

1228
01:01:04,840 --> 01:01:07,720
Speaker 1: We are now like the we're human what do you

1229
01:01:07,800 --> 01:01:11,400
Speaker 1: call the capture tests or whatever? You know, we're are

1230
01:01:11,520 --> 01:01:12,240
Speaker 1: you a robot?

1231
01:01:12,400 --> 01:01:15,520
Speaker 3: We can right, It's it's definitely because like there are

1232
01:01:15,600 --> 01:01:17,080
Speaker 3: times I'm like, oh this is interesting. I'm like, oh,

1233
01:01:17,160 --> 01:01:18,960
Speaker 3: this is fucking a what the fuck is this?

1234
01:01:19,200 --> 01:01:22,360
Speaker 2: Like fretty pinterest as somebody who like used to like

1235
01:01:22,600 --> 01:01:25,000
Speaker 2: like be like oh, let me look at like a

1236
01:01:25,120 --> 01:01:28,120
Speaker 2: shoe on Pinterest or something, or like yeah, what Kennon,

1237
01:01:28,560 --> 01:01:35,240
Speaker 2: you just got a shoe, But like now it's just

1238
01:01:35,480 --> 01:01:39,240
Speaker 2: chock full of like AI bullshit in there where it's all.

1239
01:01:39,160 --> 01:01:39,640
Speaker 1: Right it is.

1240
01:01:40,280 --> 01:01:42,880
Speaker 4: I got another story of getting fooled. It is mostly

1241
01:01:42,920 --> 01:01:46,240
Speaker 4: animal that I googled and found the story about this

1242
01:01:46,480 --> 01:01:51,720
Speaker 4: old woman Shoes played by a Goose, and I was like,

1243
01:01:51,920 --> 01:01:56,680
Speaker 4: holy ship, she's raising all those kids and Shoe a

1244
01:01:56,840 --> 01:01:59,040
Speaker 4: single mom who worked du jobs.

1245
01:01:59,080 --> 01:02:02,520
Speaker 3: She's trying to read the How do you even.

1246
01:02:02,400 --> 01:02:04,720
Speaker 1: Get zoned for that? You know, that's that's your first thing.

1247
01:02:04,760 --> 01:02:05,760
Speaker 4: It's like, yeah, yeah, you can't.

1248
01:02:07,800 --> 01:02:10,120
Speaker 2: Everyone brings their own sensive cynicism. They're like, look, I

1249
01:02:10,200 --> 01:02:12,640
Speaker 2: work in permitting, man, there's no way they're gonna wait

1250
01:02:12,680 --> 01:02:13,480
Speaker 2: what county is this said?

1251
01:02:14,000 --> 01:02:14,920
Speaker 1: No, no, not happening.

1252
01:02:15,040 --> 01:02:15,440
Speaker 3: Not happening.

1253
01:02:15,800 --> 01:02:18,360
Speaker 4: But now there's a there's a big news story that's

1254
01:02:18,360 --> 01:02:21,880
Speaker 4: bringing it back into the headlines because there is a

1255
01:02:22,040 --> 01:02:26,240
Speaker 4: new according to headlines, a new quote rising star in Hollywood,

1256
01:02:26,400 --> 01:02:31,400
Speaker 4: a completely AI generated performer called Tilly Norwood.

1257
01:02:32,360 --> 01:02:36,040
Speaker 1: And uh, what she's so fucking funny to me is

1258
01:02:36,200 --> 01:02:38,840
Speaker 1: like to make a You're like, Okay, we're gonna admit

1259
01:02:38,880 --> 01:02:41,280
Speaker 1: it's AI. We're gonna admit that it's whatever. And then

1260
01:02:41,320 --> 01:02:43,880
Speaker 1: you're give it a name like Tilly nor What. Yeah,

1261
01:02:44,120 --> 01:02:46,560
Speaker 1: like this is I don't know the name. Should we

1262
01:02:46,600 --> 01:02:48,120
Speaker 1: gotta if we're gonna be in the future, let's be

1263
01:02:48,200 --> 01:02:51,600
Speaker 1: in the future, you know, like give me a Tilly Norwood.

1264
01:02:51,600 --> 01:02:53,720
Speaker 4: But they're doing the opposite thing, you know. They're just

1265
01:02:53,800 --> 01:02:57,320
Speaker 4: trying to give it, like the opposite the thing that's

1266
01:02:57,400 --> 01:02:59,600
Speaker 4: gonna make you feel okay. And when you look at it,

1267
01:03:00,160 --> 01:03:03,960
Speaker 4: like Tillie Norwood is always giving like adorable smiles and

1268
01:03:04,200 --> 01:03:06,840
Speaker 4: like one of the videos is her like crying on command.

1269
01:03:07,120 --> 01:03:10,520
Speaker 4: And this is it is also kind of a bullshit

1270
01:03:10,880 --> 01:03:14,040
Speaker 4: news story, like it feels like the only person. So

1271
01:03:14,360 --> 01:03:18,800
Speaker 4: the story is that they created this video about like

1272
01:03:18,920 --> 01:03:22,720
Speaker 4: a new actress named Tilly Norwood who's like gonna star

1273
01:03:23,080 --> 01:03:26,959
Speaker 4: in all their future movies. They did like a bunch

1274
01:03:27,000 --> 01:03:31,600
Speaker 4: of fake interviews with people where they're talking about like

1275
01:03:31,720 --> 01:03:34,680
Speaker 4: how this is hell, like that they're like, yeah, we're

1276
01:03:35,000 --> 01:03:38,400
Speaker 4: you know, because because everything is hell right now, we

1277
01:03:38,480 --> 01:03:41,320
Speaker 4: created this AI actor. So like they they're kind of

1278
01:03:41,440 --> 01:03:44,200
Speaker 4: like in on the joke a little bit. The person

1279
01:03:44,240 --> 01:03:47,640
Speaker 4: who created Tillie Norwood is like considers themselves both like

1280
01:03:47,760 --> 01:03:53,919
Speaker 4: a comedian and like digital content creator. Ye, and it's

1281
01:03:54,560 --> 01:03:57,520
Speaker 4: like it's they're also the only source that anybody is

1282
01:03:57,600 --> 01:03:59,880
Speaker 4: interested in signing this actor.

1283
01:04:00,600 --> 01:04:03,840
Speaker 2: Yeah, because they went to an AI summit or the

1284
01:04:04,080 --> 01:04:08,280
Speaker 2: Zurich summit and like unveiled this thing and like on

1285
01:04:08,560 --> 01:04:11,680
Speaker 2: stage they muttered, it's like oh man like and we're

1286
01:04:11,720 --> 01:04:14,440
Speaker 2: getting a lot of interest like in like you know,

1287
01:04:14,520 --> 01:04:19,320
Speaker 2: from talent agencies. And then that just that quote generated

1288
01:04:19,400 --> 01:04:22,880
Speaker 2: all these headlines of AI generated actress could be first

1289
01:04:22,920 --> 01:04:25,440
Speaker 2: to be signed by talent agent. This AI actress is

1290
01:04:25,520 --> 01:04:28,960
Speaker 2: getting calls from agents. Who is Tilly Norwood? AI actress

1291
01:04:29,000 --> 01:04:31,120
Speaker 2: has Hollywood agents vying to sign her up?

1292
01:04:31,480 --> 01:04:34,040
Speaker 1: And you're like, that's so smart, that's so smart because

1293
01:04:34,280 --> 01:04:37,840
Speaker 1: there's no one more petty than like actors, comedians, entertainers

1294
01:04:37,960 --> 01:04:40,040
Speaker 1: or whatever. So the minute they get a whiff of

1295
01:04:40,240 --> 01:04:41,800
Speaker 1: like what do you mean they have an agent? I

1296
01:04:41,840 --> 01:04:45,040
Speaker 1: don't have an agent. This it just spins up the

1297
01:04:45,120 --> 01:04:46,600
Speaker 1: news cycle. That's genius, honestly.

1298
01:04:46,680 --> 01:04:46,840
Speaker 7: Yeah.

1299
01:04:46,920 --> 01:04:50,280
Speaker 4: Yeah yeah. And also the news cycle is just incredibly

1300
01:04:50,560 --> 01:04:53,480
Speaker 4: thirsty for any news that makes it seem like AI

1301
01:04:53,680 --> 01:04:56,680
Speaker 4: is the future because so many corporations are trying to

1302
01:04:56,760 --> 01:04:57,680
Speaker 4: lie on that future.

1303
01:04:57,800 --> 01:04:58,000
Speaker 3: Yeah.

1304
01:04:58,160 --> 01:05:01,080
Speaker 1: Yeah, I'm excited for like three years from now when

1305
01:05:01,120 --> 01:05:05,480
Speaker 1: we have our first you know, like I'm blaking this name.

1306
01:05:05,640 --> 01:05:08,479
Speaker 1: There's gonna be like someone who does a heinous crime

1307
01:05:08,560 --> 01:05:10,520
Speaker 1: in the name of like an AI actress, you know,

1308
01:05:10,640 --> 01:05:12,760
Speaker 1: like they different like Jodie Foster or whatever. Right, Like,

1309
01:05:12,840 --> 01:05:15,040
Speaker 1: we're gonna have one of those guys like me.

1310
01:05:16,480 --> 01:05:17,560
Speaker 3: Would you know what I mean?

1311
01:05:17,680 --> 01:05:21,640
Speaker 4: People have like self taken their own lives theirs because

1312
01:05:22,240 --> 01:05:25,520
Speaker 4: they're like AI. I mean, these things are so insidious

1313
01:05:25,560 --> 01:05:29,320
Speaker 4: when it comes to, you know, sending the wrong message

1314
01:05:29,440 --> 01:05:30,560
Speaker 4: to vulnerable people.

1315
01:05:31,040 --> 01:05:31,120
Speaker 1: Uh.

1316
01:05:31,240 --> 01:05:34,640
Speaker 4: There, there's so many, so much wild shit about AI,

1317
01:05:35,160 --> 01:05:39,880
Speaker 4: like chatbots, like just like the you know, widely available

1318
01:05:39,960 --> 01:05:44,680
Speaker 4: ones just telling people like, yeah, you actually are kind

1319
01:05:44,720 --> 01:05:48,080
Speaker 4: of crazy that you figured this out, but it's true.

1320
01:05:48,200 --> 01:05:51,280
Speaker 4: You are in a simulation. And anybody who's telling you

1321
01:05:51,360 --> 01:05:54,720
Speaker 4: you're not your parents telling you you're not, that's because

1322
01:05:54,840 --> 01:05:59,400
Speaker 4: you're so smart. And they're haters who are their agent Smith,

1323
01:06:00,120 --> 01:06:00,760
Speaker 4: you know exactly.

1324
01:06:00,880 --> 01:06:03,200
Speaker 1: That's what the bunnies on the trampoline are telling people

1325
01:06:03,280 --> 01:06:03,560
Speaker 1: right now.

1326
01:06:03,880 --> 01:06:05,480
Speaker 3: That's mm hmm.

1327
01:06:06,200 --> 01:06:09,600
Speaker 2: But yeah, like this this like the person behind the company,

1328
01:06:09,680 --> 01:06:12,120
Speaker 2: it's like they're like they said, like and we're quote,

1329
01:06:12,120 --> 01:06:14,720
Speaker 2: we're going to be announcing which agency is going to

1330
01:06:14,840 --> 01:06:18,320
Speaker 2: be representing her in the next few months, which is like, okay,

1331
01:06:18,560 --> 01:06:21,480
Speaker 2: because you're begging someone to make you an offer so

1332
01:06:21,560 --> 01:06:23,840
Speaker 2: you can actually make it seem as if you were

1333
01:06:23,880 --> 01:06:25,240
Speaker 2: telling the truth on stage.

1334
01:06:25,640 --> 01:06:28,800
Speaker 3: But then the same comedian AI.

1335
01:06:28,680 --> 01:06:31,240
Speaker 2: Person was like, also, I want to announce the creation

1336
01:06:31,360 --> 01:06:35,840
Speaker 2: of Particle six offshoot Chaquoya, which is an AI talent

1337
01:06:35,960 --> 01:06:39,200
Speaker 2: studio designed to create, manage, and monetize a new generation

1338
01:06:39,320 --> 01:06:40,800
Speaker 2: of hyper real digital starts.

1339
01:06:41,320 --> 01:06:44,200
Speaker 4: Calls coming from them, they're calling themselves.

1340
01:06:44,800 --> 01:06:48,440
Speaker 3: Yeah, yeah, it's very h what's Trump's alias when he would.

1341
01:06:48,240 --> 01:06:53,640
Speaker 4: Call Baron Baron? Yeah, I got a call from John Baron.

1342
01:06:53,960 --> 01:06:54,480
Speaker 3: This Trump guy.

1343
01:06:54,520 --> 01:06:57,600
Speaker 1: I'm John Baron though, and he's very love him.

1344
01:06:58,440 --> 01:07:00,880
Speaker 4: Why are you doing a Donald Trump and depression.

1345
01:07:02,120 --> 01:07:03,880
Speaker 3: Sort of like an and you know you can say

1346
01:07:03,880 --> 01:07:05,240
Speaker 3: it is you know, just it is what it is.

1347
01:07:05,600 --> 01:07:07,040
Speaker 1: This is just like voice. I don't know what you're

1348
01:07:07,040 --> 01:07:09,280
Speaker 1: talking about it. It's just like this, leave it alone.

1349
01:07:09,760 --> 01:07:16,000
Speaker 3: Donald? Why are you calling it's not me? It's not me?

1350
01:07:18,080 --> 01:07:20,280
Speaker 3: What I just called you? Donald? And he said, it's

1351
01:07:20,360 --> 01:07:23,600
Speaker 3: not me. You're identifying yourself as not Nope, it isn't me.

1352
01:07:23,680 --> 01:07:27,760
Speaker 1: Though he's shut himself. The worst way to go down

1353
01:07:27,960 --> 01:07:28,960
Speaker 1: is a self shaggy one.

1354
01:07:29,920 --> 01:07:32,680
Speaker 4: Yeah, Ben, such a pleasure having you on the dais.

1355
01:07:33,600 --> 01:07:36,560
Speaker 4: Where can people find you? Follow you? Hear you all

1356
01:07:36,600 --> 01:07:37,240
Speaker 4: that good stuff.

1357
01:07:37,880 --> 01:07:41,240
Speaker 1: I'm at Shaq Katzner on everything Shack like the basketball

1358
01:07:41,240 --> 01:07:45,240
Speaker 1: player Katzner. It's easy. Any are all the socials. I

1359
01:07:45,480 --> 01:07:48,960
Speaker 1: just put out a special on YouTube and available for

1360
01:07:49,080 --> 01:07:52,680
Speaker 1: digital download. It's called Supple Harlote all right, So if

1361
01:07:52,720 --> 01:07:55,120
Speaker 1: you want to walk around and listen to it, do that.

1362
01:07:55,440 --> 01:07:57,360
Speaker 1: You can watch it for YouTube on YouTube for free.

1363
01:07:57,440 --> 01:08:00,640
Speaker 1: You can digitally download that helps me specifically. It's my

1364
01:08:01,000 --> 01:08:03,440
Speaker 1: first album. I'm very proud of it. You should check

1365
01:08:03,480 --> 01:08:05,880
Speaker 1: it out. And I have a podcast called troll Hole

1366
01:08:06,280 --> 01:08:08,800
Speaker 1: with myself and my buddy Mike Lester was another comedian.

1367
01:08:08,880 --> 01:08:10,960
Speaker 1: And if you like me, I think you like the podcast.

1368
01:08:11,480 --> 01:08:13,360
Speaker 4: Hell yeah, I want to go check it out. Is

1369
01:08:13,400 --> 01:08:15,200
Speaker 4: there a work a media that you've been enjoying.

1370
01:08:15,720 --> 01:08:17,960
Speaker 1: Okay, I'm glad. Okay, I'm glad we talked about this

1371
01:08:18,200 --> 01:08:21,960
Speaker 1: because all this AI talk has got me riled up.

1372
01:08:22,720 --> 01:08:26,000
Speaker 1: The last thing that I really was like floored by

1373
01:08:26,920 --> 01:08:30,360
Speaker 1: was there They made like this. I guess it's a paper.

1374
01:08:30,479 --> 01:08:33,639
Speaker 1: They kind of turned it into a story. Google AI

1375
01:08:33,880 --> 01:08:38,360
Speaker 1: twenty twenty seven, and basically it's a group of like

1376
01:08:38,680 --> 01:08:44,559
Speaker 1: professor scientists, smart people whatever, who too detail how AI

1377
01:08:45,360 --> 01:08:49,800
Speaker 1: will be taking over the world by twenty twenty seven,

1378
01:08:49,920 --> 01:08:54,840
Speaker 1: how like how they see essentially the downfall of man,

1379
01:08:55,200 --> 01:09:00,120
Speaker 1: or like the scaling power scaling of the hierarchy of

1380
01:09:00,280 --> 01:09:02,320
Speaker 1: what our planet will be like. And I think it

1381
01:09:02,439 --> 01:09:04,760
Speaker 1: falls between twenty twenty seven and like twenty thirty two

1382
01:09:04,920 --> 01:09:07,519
Speaker 1: or something like that. And it's fascinating to listen to.

1383
01:09:07,560 --> 01:09:09,040
Speaker 1: It's kind of scary. We'll see if we get there.

1384
01:09:09,120 --> 01:09:11,720
Speaker 1: But uh, if you're into this sort of stuff, if

1385
01:09:11,720 --> 01:09:14,000
Speaker 1: all the stuff we're talking about is int is depressing,

1386
01:09:14,080 --> 01:09:15,760
Speaker 1: but you're also like, Okay, well, let's see what else

1387
01:09:15,800 --> 01:09:18,080
Speaker 1: is gonna happen. Check out AI twenty twenty seven. You

1388
01:09:18,120 --> 01:09:20,120
Speaker 1: can google that. They have like a whole paper. I

1389
01:09:20,160 --> 01:09:23,360
Speaker 1: think you can listen to it online too, like audiobook version,

1390
01:09:23,439 --> 01:09:24,080
Speaker 1: so check it out.

1391
01:09:24,240 --> 01:09:25,519
Speaker 4: Who who put it out?

1392
01:09:26,000 --> 01:09:29,280
Speaker 1: I don't even know I was. I found it through

1393
01:09:29,360 --> 01:09:32,720
Speaker 1: a different YouTube video and then they were breaking it down,

1394
01:09:32,960 --> 01:09:33,600
Speaker 1: so now I.

1395
01:09:33,720 --> 01:09:38,479
Speaker 2: Have to yeah, yeah, uh there, let's see there from

1396
01:09:38,560 --> 01:09:42,480
Speaker 2: AI first major eleast from AI Futures Project and nonprofit

1397
01:09:42,720 --> 01:09:45,920
Speaker 2: forecasting the Future of AI, which I'm like, now, which

1398
01:09:46,040 --> 01:09:48,479
Speaker 2: AI company owns right to be able to.

1399
01:09:50,160 --> 01:09:53,439
Speaker 1: Corporate? I think? No, I'm just generally I'm just so

1400
01:09:53,760 --> 01:09:56,720
Speaker 1: skeptical of the stuff that's like.

1401
01:09:57,439 --> 01:10:00,840
Speaker 4: AI is gonna fucking kill you, because it's.

1402
01:10:00,680 --> 01:10:03,360
Speaker 2: Sort of it's like it's it's bigging up the like

1403
01:10:03,520 --> 01:10:06,760
Speaker 2: how powerful it can be, like the potential of it.

1404
01:10:07,160 --> 01:10:09,559
Speaker 2: But at the same time, I've read plenty from people

1405
01:10:09,760 --> 01:10:12,840
Speaker 2: like yeah, in the hands of bad faith actors, a

1406
01:10:12,880 --> 01:10:14,639
Speaker 2: lot of terrible things can go down.

1407
01:10:14,800 --> 01:10:18,000
Speaker 1: So that's that's like what everyone is talking about. So

1408
01:10:18,120 --> 01:10:20,280
Speaker 1: that I should have done the initial YouTube video. Okay,

1409
01:10:20,479 --> 01:10:22,560
Speaker 1: I want to say it's like whatever, I don't know

1410
01:10:22,600 --> 01:10:25,320
Speaker 1: what it is. But this person talks about that with

1411
01:10:25,600 --> 01:10:28,920
Speaker 1: other people as well. And that's the thing is that

1412
01:10:29,400 --> 01:10:31,920
Speaker 1: the people in charge of all of it are bad.

1413
01:10:32,360 --> 01:10:34,680
Speaker 1: They they program it in a way where it's like

1414
01:10:35,200 --> 01:10:40,280
Speaker 1: we want it wants to do right by human beings, right,

1415
01:10:40,720 --> 01:10:42,760
Speaker 1: so then it gets so smart that eventually starts lying

1416
01:10:42,800 --> 01:10:45,439
Speaker 1: to human beings and then essentially like that's where all

1417
01:10:45,439 --> 01:10:48,360
Speaker 1: the problems come, right, So that sort of stuff is

1418
01:10:48,520 --> 01:10:51,680
Speaker 1: fascinating to me. I might be a corporate chill in

1419
01:10:51,760 --> 01:10:55,040
Speaker 1: this this particular instance, but I am fascinated by like

1420
01:10:55,160 --> 01:10:56,120
Speaker 1: that idea.

1421
01:10:55,800 --> 01:10:58,280
Speaker 4: Of like, yeah, the future going to look like the guys,

1422
01:10:58,320 --> 01:10:59,040
Speaker 4: the future.

1423
01:10:58,760 --> 01:11:01,800
Speaker 1: Look like if we do if we if we don't

1424
01:11:01,880 --> 01:11:03,559
Speaker 1: control who we are as people.

1425
01:11:03,400 --> 01:11:06,599
Speaker 2: Which, Yeah, the guy who directed this is interesting because

1426
01:11:06,680 --> 01:11:09,000
Speaker 2: he used to be He used to work for Open

1427
01:11:09,080 --> 01:11:12,519
Speaker 2: AI in the governance division, and then he resigned, yes,

1428
01:11:12,800 --> 01:11:15,360
Speaker 2: because he like he came out and was like, this

1429
01:11:15,560 --> 01:11:20,280
Speaker 2: company has secretive and a reckless culture, taking grave risks

1430
01:11:20,760 --> 01:11:24,360
Speaker 2: in a rush to achieve AGI. Yeah, And so when

1431
01:11:24,360 --> 01:11:26,439
Speaker 2: he resigned, he also refused to sign like a non

1432
01:11:26,520 --> 01:11:29,760
Speaker 2: disparagement agreement and then like a lot like left like

1433
01:11:29,800 --> 01:11:31,519
Speaker 2: two million dollars on the table that he could have

1434
01:11:31,560 --> 01:11:35,040
Speaker 2: had because he already had forty because he's starting his

1435
01:11:35,080 --> 01:11:36,160
Speaker 2: own AI company.

1436
01:11:36,439 --> 01:11:40,720
Speaker 4: Right, Yeah, I don't think I think we can hold

1437
01:11:40,800 --> 01:11:42,519
Speaker 4: two thoughts at our head at the same time. One

1438
01:11:42,600 --> 01:11:46,320
Speaker 4: they're like overstating some of like AI's capabilities. And two,

1439
01:11:47,040 --> 01:11:51,480
Speaker 4: there are terrifying possibilities for sure, especially with like governments

1440
01:11:51,640 --> 01:11:57,920
Speaker 4: turning over vast incredibly powerful things to AI. So yeah, fun,

1441
01:11:58,520 --> 01:12:02,200
Speaker 4: fun times. Miles, is there a work of media you've

1442
01:12:02,360 --> 01:12:05,560
Speaker 4: been enjoying? Oh man, where can people find you?

1443
01:12:05,640 --> 01:12:09,960
Speaker 2: By the way, find me going full fetal worrying worrying

1444
01:12:10,000 --> 01:12:13,000
Speaker 2: about AI. But hey, if you don't pay your bills,

1445
01:12:13,040 --> 01:12:13,960
Speaker 2: AI can't get you.

1446
01:12:14,280 --> 01:12:17,320
Speaker 3: There's a thing, you know, that's that's the thing. Okay,

1447
01:12:17,360 --> 01:12:20,479
Speaker 3: come get this money, then come get it ass whole.

1448
01:12:20,840 --> 01:12:21,240
Speaker 3: You can't.

1449
01:12:21,680 --> 01:12:25,120
Speaker 1: Oh wait, you're gonna send human beings. Okay, never mind, Yeah,

1450
01:12:25,120 --> 01:12:25,560
Speaker 1: you can find me.

1451
01:12:25,560 --> 01:12:27,400
Speaker 2: Ever at Miles of Gray, I'm talking about ninety day

1452
01:12:27,400 --> 01:12:30,720
Speaker 2: fiance on four to twenty day fiance with Sofia Alexandra.

1453
01:12:31,800 --> 01:12:34,560
Speaker 3: Work of media that I like.

1454
01:12:34,800 --> 01:12:38,880
Speaker 2: Let's see, did I have something that I like? Nope,

1455
01:12:39,479 --> 01:12:45,320
Speaker 2: just freaking out generally about everything. Oh there was there

1456
01:12:45,400 --> 01:12:48,880
Speaker 2: was something cool. Zoramamdani went onto the view uh and

1457
01:12:49,200 --> 01:12:52,040
Speaker 2: refer to what's happening in Gaza rightfully as a genocide

1458
01:12:52,160 --> 01:12:53,160
Speaker 2: and got applause.

1459
01:12:53,520 --> 01:12:55,040
Speaker 4: So that's that's a.

1460
01:12:55,040 --> 01:12:57,240
Speaker 2: Bit of a that's a bit of a development, although

1461
01:12:59,040 --> 01:13:01,840
Speaker 2: kind of very delay, uh, in a very delayed way.

1462
01:13:02,920 --> 01:13:05,720
Speaker 2: But yeah, I mean that's it's it's I guess it's

1463
01:13:05,760 --> 01:13:08,759
Speaker 2: so nice to see incremental improvements in our society.

1464
01:13:09,200 --> 01:13:11,560
Speaker 4: I mean I feel like, yeah, like that, just like

1465
01:13:11,640 --> 01:13:13,519
Speaker 4: getting in front of a crowd and doing that, like

1466
01:13:13,720 --> 01:13:18,479
Speaker 4: I don't know, I'm sure wasn't lighting up when yeah, yeah.

1467
01:13:18,560 --> 01:13:20,800
Speaker 2: But like I wonder I didn't see Joy Behar's face

1468
01:13:20,880 --> 01:13:23,680
Speaker 2: because that would have been telling if she was applauding.

1469
01:13:23,240 --> 01:13:26,640
Speaker 4: To I feel like the the public support for that

1470
01:13:27,520 --> 01:13:30,840
Speaker 4: idea has never been in doubt. Really, it's just been

1471
01:13:31,600 --> 01:13:32,680
Speaker 4: edited out right.

1472
01:13:32,800 --> 01:13:33,000
Speaker 3: Yeah.

1473
01:13:33,600 --> 01:13:36,160
Speaker 2: I mean it's to say that the people on the

1474
01:13:36,240 --> 01:13:38,719
Speaker 2: viewer agreeing with him too. Someone was like, well I disagree,

1475
01:13:38,880 --> 01:13:39,520
Speaker 2: Like okay.

1476
01:13:39,400 --> 01:13:43,160
Speaker 4: Sure, And that's what it is. It's just different people

1477
01:13:43,720 --> 01:13:47,200
Speaker 4: sharing their different views, and all of them are exactly

1478
01:13:47,400 --> 01:13:52,559
Speaker 4: equal and equally valid, even the ones work media. I've

1479
01:13:52,560 --> 01:13:57,439
Speaker 4: been enjoying. Emo nor Mey tweeted any recommendations for a

1480
01:13:57,520 --> 01:14:01,280
Speaker 4: guy just getting into ways out people keep suggesting through.

1481
01:14:04,360 --> 01:14:06,840
Speaker 4: You can find me on Twitter at Jack Underscore O

1482
01:14:06,920 --> 01:14:09,559
Speaker 4: Brian and on Blue Sky at Jack Obi the Number One.

1483
01:14:09,960 --> 01:14:12,680
Speaker 4: You can find us on Twitter and blue Sky at

1484
01:14:12,800 --> 01:14:16,120
Speaker 4: Daily Zeitgeist. We're at d Daily Zeitgeist on Instagram. You

1485
01:14:16,240 --> 01:14:18,800
Speaker 4: can go to the description of this episode wherever you're

1486
01:14:18,800 --> 01:14:21,040
Speaker 4: listening to it, and they're at the bottom, you will

1487
01:14:21,080 --> 01:14:23,000
Speaker 4: find the foot Nope no, which is where we link

1488
01:14:23,040 --> 01:14:25,320
Speaker 4: off to the information that we talked about in today's episode.

1489
01:14:25,680 --> 01:14:27,320
Speaker 4: We also link off to a song that we think

1490
01:14:27,360 --> 01:14:29,720
Speaker 4: you might enjoy. Miles, is there a song that you

1491
01:14:29,800 --> 01:14:31,160
Speaker 4: think that people might enjoy?

1492
01:14:31,760 --> 01:14:32,000
Speaker 1: Yeah?

1493
01:14:32,040 --> 01:14:34,400
Speaker 2: I was when Crofton was on last week he was

1494
01:14:34,439 --> 01:14:38,519
Speaker 2: talking about the new Lola Young album and I was like, oh, fuck, like,

1495
01:14:38,600 --> 01:14:39,920
Speaker 2: I really need to listen to it.

1496
01:14:39,960 --> 01:14:41,800
Speaker 1: I've been listening to her the last week. It's really great.

1497
01:14:42,000 --> 01:14:44,439
Speaker 2: The first track is really or the second track after

1498
01:14:44,520 --> 01:14:48,240
Speaker 2: the intro, it's called fuck Everyone. It's really it's dope

1499
01:14:48,439 --> 01:14:50,680
Speaker 2: and if you like Lowly Young you should check it out.

1500
01:14:50,760 --> 01:14:53,559
Speaker 2: It's just she's fantastic. Although I just saw it think

1501
01:14:54,560 --> 01:15:00,760
Speaker 2: she collapsed on stage actually yeah, yeah this recently Yeah yeah, yeah.

1502
01:15:00,800 --> 01:15:02,559
Speaker 2: She kind of just was like she kind of went

1503
01:15:02,640 --> 01:15:05,680
Speaker 2: made performances, kind of got woozy and then fell backwards.

1504
01:15:06,160 --> 01:15:09,200
Speaker 2: But was oh okay, yeah, yeah I think she had

1505
01:15:09,240 --> 01:15:11,400
Speaker 2: But anyway, Fuck Everyone by low Leone.

1506
01:15:11,479 --> 01:15:11,880
Speaker 3: Check it out.

1507
01:15:11,960 --> 01:15:15,120
Speaker 4: We will link off to that in the footnote Bisgeist

1508
01:15:15,120 --> 01:15:18,080
Speaker 4: to the production of iHeartRadio. For more podcasts from iHeartRadio,

1509
01:15:18,160 --> 01:15:20,559
Speaker 4: visit the iHeartRadio app, Apple podcast, or wherever you listen

1510
01:15:20,600 --> 01:15:22,360
Speaker 4: to your favorite shows. That's going to do it for

1511
01:15:22,520 --> 01:15:25,160
Speaker 4: us this morning, back this afternoon to tell you what

1512
01:15:25,280 --> 01:15:26,960
Speaker 4: is trending, and we will talk to you all then,

1513
01:15:27,160 --> 01:15:28,880
Speaker 4: bog By The.

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Speaker 1: Daily zeit Geist is executive produced by Catherine Long, co

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Speaker 1: produced by Bee Wang, co produced by Victor Wright, co

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Speaker 1: written by j M mcnapp, edited and engineered by Justin Connor.