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Speaker 1: I mean, yeah, Claire, you're definitely our people with your

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Speaker 1: your shortening of words. I've noticed in your your rhetorical

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Speaker 1: stylings procedures like that. I mean, I think we all

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Speaker 1: called a bobo. I mean, I feel like that became

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Speaker 1: these days.

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Speaker 2: Yeah, yeah, we call yeah, and we are all saying that,

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Speaker 2: but just did you call it a bobo? Clarification, we

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Speaker 2: would just say bobos.

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Speaker 1: They're like, oh yeah, okay, that's interesting, rather than an

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Speaker 1: a bobo and original, Yeah, it must be regional. Yeah,

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Speaker 1: what dialect? What dialect do you speak?

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Speaker 3: Bitch?

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Speaker 2: Oh? Okay, Hello the Internet, and welcome to season three,

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Speaker 2: forty two, Episode four of Daily's I Got a production

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Speaker 2: of iHeart Radio. This is a podcast where we take

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Speaker 2: a deep dive into america shared consciousness. And it is Thursday,

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Speaker 2: June thirteenth, twenty twenty four. A near miss for those

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Speaker 2: of us we're definitely afraid of Friday thirteenth.

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Speaker 1: Dude, I just I just realized we missed six ' nine,

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Speaker 1: our greatest we did. Yeah, yeah, because that doesn't seem

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Speaker 1: like that was that was a Sunday.

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Speaker 2: It was a Sunday. That's why that was it. Just

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Speaker 2: remember we still do.

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Speaker 1: Recognize six ' nine in this house. It's the new

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Speaker 1: fourth over four twenty, yeah.

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Speaker 2: Over four twenty. It's always a sixty nine all day.

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Speaker 1: But June thirteenth is National Golf Cart Day, National Random

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Speaker 1: Acts of Lights Day.

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Speaker 2: Okay, I miss me with that one.

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Speaker 1: National Kitchen Clutches of America Day, National Weave Your Garden Day,

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Speaker 1: National Sewing Machine Day, National Career Nurses Assistance Day, Nurse

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Speaker 1: Assistance Day.

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Speaker 2: Yes, I was just too distracted on June ninth to

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Speaker 2: you know what I mean, too busy, celebraty, celebrate, Yeah, exactly.

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Speaker 1: Man, just watching Marilyn Manson interviews, trying to figure out

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Speaker 1: how I do I need to.

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Speaker 2: Remove a rip to achieve this. I don't quite know.

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Speaker 2: Is that a sixth? Does that count? I don't know.

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Speaker 2: I mean self sixty nine? Yeah, a self Yeah, I

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Speaker 2: don't know. I don't know. We'll have to blasco listeners.

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Speaker 2: That's what SSN stands for for me. People ask me

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Speaker 2: what's my SSN, I said, I wish no.

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Speaker 1: So your social security. We're trying to make sure you

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Speaker 1: have my bad insurance.

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Speaker 2: For My name is Jack O'Brien aka learn your Hues.

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Speaker 2: My preschool son teach me green when you are dumb.

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Speaker 2: Roy g bib when I get dressed? What's magenta foror

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Speaker 2: that is courtesy of southa door jolly on the discord.

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Speaker 2: In reference to Miles not knowing what the primary colors are,

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Speaker 2: what the secondary colors are, I.

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Speaker 1: Don't see color man, Yeah, just at all. I'm kind

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Speaker 1: of also extensive that I'm ignorant about anything to do

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Speaker 1: with actual colors as well.

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Speaker 2: Yeah that's right. Yeah, it kind of translates to people

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Speaker 2: who say that about race. But yeah, and also reference

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Speaker 2: to magenta, the new primary color that I have petitioned

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Speaker 2: my kids school board about this. Fucking they're going to

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Speaker 2: change the primary colors. Not my America. I'll tell you that.

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Speaker 1: Wait, the magenta is a primary color.

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Speaker 2: Now, Yeah, that's what they're saying. They're saying magenta instead

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Speaker 2: of red for some whatever. Look see that thing.

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Speaker 1: That's why I have peace, because I'm not Everything's gotta.

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Speaker 2: Be different, you know what I mean. Anyways, I'm thrilled

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Speaker 2: to be joined as always by my co host, mister

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Speaker 2: Miles Grass.

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Speaker 1: This Miles Gray a ka Miles nominative foot of best

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Speaker 1: role else it's how we handle six point eight stress.

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Speaker 2: So well, okay, shout out.

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Speaker 1: Obviously, that's I'm f to him. That's from Mad Villain,

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Speaker 1: America's most one to shot out Lacaroni for that one. Yes,

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Speaker 1: I have been nominated for the Best rold Els and

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Speaker 1: it is how truly that's how I handled this six

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Speaker 1: point eight week's debacle stress so well.

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Speaker 2: So thank you for that, Locaroni. Yeah, very true, very true,

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Speaker 2: very true. That Academy Award category goes way back, but

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Speaker 2: a lot of people like they moved it. Yeah, Best

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Speaker 2: Role Elves they moved it out of the main telecast,

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Speaker 2: so yeah, yeah, it's with the Arts and Sciences.

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Speaker 1: They give it out in the parking lot, but behind

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Speaker 1: Hollywood and Highland.

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Speaker 2: That's right. Yeah, well, Miles, we are thrilled to be

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Speaker 2: joined in our third seat by an actor, comedian and

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Speaker 2: writer who's written for SpongeBob square Pants. Never heard of it,

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Speaker 2: shrill snl ever heard Yeah, was the pseudo host of

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Speaker 2: Viceland's Flophouse, which I will always bring up because that's

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Speaker 2: where I first saw her. She's performed Edinburgh, Edinburgh, Fringe Fest,

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Speaker 2: Bridge down, all the festivals. Her new special Everything I

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Speaker 2: Know How to Do is out now and it is hilarious.

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Speaker 2: Please welcome Clara, Claire, thanks so much for you.

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Speaker 4: Know.

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Speaker 1: I was reading your bio and I too have been

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Speaker 1: described as quote sarcastic and quote half Asian, so.

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Speaker 3: I believe that. Yeah, yeah, yeah, what kind of sarcastic

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Speaker 3: are you?

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Speaker 2: Japanese? Awesome? Yeah, Japanese sarcasm.

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Speaker 3: Yeah yeah yeah in Filipino.

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Speaker 2: Yeah, okay, Well, thanks for coming on.

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Speaker 3: I was gonna say a word that I was I

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Speaker 3: was gonna say and yeah, but that feels somehow racist,

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Speaker 3: even though that is Jane cool.

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Speaker 2: I can actually speak for Miles on this one. It's fine.

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Speaker 2: I said to him all the time. He loves it.

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Speaker 3: That's awesome.

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Speaker 2: Let me just cut in here. He loves when I

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Speaker 2: started singing turning Japanese. He loved that. Yeah, I love that.

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Speaker 3: I love well. Happy to be a part of the

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Speaker 3: clan here.

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Speaker 2: Yeah, yeah, welcome. It's strange where you come in too.

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Speaker 2: It's from Claire.

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Speaker 3: I'm here in Brooklyn, New York.

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Speaker 2: Brooklyn, New York. Lovely Brooklyn, New York. How is it?

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Speaker 3: It's summertime here? Summertime is popping off in a pretty

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Speaker 3: heavy way.

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Speaker 2: Is that New York stension? The air?

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Speaker 1: The summer stench in the area quite yet.

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Speaker 3: The piss has not made it to the area, but

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Speaker 3: the garbage has.

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Speaker 2: Yeah, yeah, it's.

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Speaker 3: Not hot enough for the piss to kind of sizzle up.

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Speaker 1: Yeah, it's still early in the season for that.

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Speaker 2: There's a long read on like the how they're like

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Speaker 2: trying to fix the New York garbage collection system and

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Speaker 2: uh yeah, just all sorts of interesting information. I don't

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Speaker 2: like their chances. But one of the facts they had

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Speaker 2: in there is that if you ever throw something away,

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Speaker 2: you can like call three one one and they will

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Speaker 2: hold the garbage before it goes on the barge and

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Speaker 2: you have they'll dump the entire garbage truck and you

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Speaker 2: have an hour to find the thing that you threw

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Speaker 2: accidentally threw away, Like they created a game show.

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Speaker 3: That's so cool.

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Speaker 2: Isn't that cool? And they were like yeah, they were

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Speaker 2: like people usually find it like people, but it's that organized.

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Speaker 1: You can be like bleaker ship was picked up and

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Speaker 1: they're like, all right, okay, we.

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Speaker 2: Find we know which trash truck that is. Yeah, you

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Speaker 2: got an hour to get to the docs and then

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Speaker 2: you're going to have an hour to look through to

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Speaker 2: comb through us your blocks garbage, what is the system.

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Speaker 1: I thought it was just just pilot up on the sidewalk.

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Speaker 3: Right, it's pilot up on the sidewalk. But they're changing

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Speaker 3: that because of rats and because the mayor doesn't want

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Speaker 3: to solve other more important problems.

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Speaker 2: Yeah. Yeah, he wants to party.

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Speaker 3: He kind of just wants to party and be vegan,

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Speaker 3: which is like awesome for him, and we love that.

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Speaker 2: He's so cool.

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Speaker 3: He reversed his own diabetes and that's kind of his

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Speaker 3: whole thing is veganism.

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Speaker 2: He cured his own diabetes.

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Speaker 3: And like hanging out with hot women.

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Speaker 2: Yeah, right right, he'll do it every time.

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Speaker 3: I'll do it. But they're trying to they're trying to implement,

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Speaker 3: you know, like a dumpster system where everybody has like

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Speaker 3: every building has their own sort of dumpster thing right then,

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Speaker 3: But I don't know.

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Speaker 2: That the rats will be respectful of and not enter it.

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Speaker 3: Yeah, they look up a respect I see what's going on.

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Speaker 2: I feel like Mayor Adams doesn't want to sit here, man.

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Speaker 1: Yeah, you know what, Just pack it up, y'all, pack

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Speaker 1: it up, take it back underground.

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Speaker 2: Yeah, let's go to Boston.

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Speaker 1: Were you were you in Jack when you're talking about

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Speaker 1: how the rats Are was failing at their job in

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Speaker 1: New York appointed rats Are Yeah, yeah, yeah. So it's

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Speaker 1: a lot of a lot of stuff in flux right there.

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Speaker 2: Didn't his didn't the mayor's own like Brownstone get like

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Speaker 2: condemned for being a rat hot spot at one point.

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Speaker 1: Probably it's the rat hot spot.

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Speaker 2: Okay, he has like a line and ship, Yeah, yeah, exactly.

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Speaker 3: Music was both really sexy little rats.

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Speaker 2: Yeah you see them?

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Speaker 3: Yeah, well for rats, low cut jeans.

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Speaker 2: Rats kind of have like big, big old asses. I

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Speaker 2: can respect. I'm just thinking, I was thinking about rats

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Speaker 2: wearing the low cut jeans, and I was like, they

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Speaker 2: do kind of have you know, they.

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Speaker 1: Got the apple bottom jeans, the bodies.

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Speaker 2: With the fur. All Right, Claire, we're going to get

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

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

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Speaker 2: we're talking about from the news. You've seen this, you

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Speaker 2: heard about this news Hunter Biden guilty. Mega World doesn't

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Speaker 2: really know what to make of that fact, because they

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Speaker 2: had lots of conspiracy theories like that he was gonna

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Speaker 2: get off and that this is just the tip of

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Speaker 2: the iceberg of the Joe Biden Crime Family. So we're

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Speaker 2: gonna talk about that. There's just been a bunch of

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Speaker 2: wild shit about AI art that I wanted to talk about.

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Speaker 2: There there's this article that published a couple of weeks ago,

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Speaker 2: Hollywood Nightmare, new streaming service lets viewers create their own

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Speaker 2: shows using AI. And there's this like studio called Fable

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Speaker 2: where you, I guess, just like put a prompt in

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Speaker 2: and it generates a show that sucks like this, and

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Speaker 2: this is going to replace entertainment that doesn't suck. And

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Speaker 2: the thing that they point to the description is this,

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Speaker 2: did you guys see the AI generated South Park? Yeah,

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Speaker 2: it's it's a fucking it's so bad, like it fucking

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Speaker 2: bums me out, like it too, like it. I think

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Speaker 2: it gave me depression, just like watching it like clinic,

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Speaker 2: like a depression that I can't cure. Like is so bad.

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Speaker 2: It's so strange, like it makes you feel crazy and

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Speaker 2: sleepy at the same time. It's very strange. So I

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Speaker 2: want to talk about that. I want to talk about

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Speaker 2: the Ashton Kutcher and the Tribeca Film Festival, trying to

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Speaker 2: make AI movies happen, all of that plenty more. But first, Claire,

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Speaker 2: we do like to ask our guest, what is something

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Speaker 2: from your search history that is revealing about who you are?

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Speaker 2: Or you could tell us the most recent thing that

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Speaker 2: you screencappt.

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Speaker 3: I googled Tim Meadows. He's doing good. He's I wanted

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Speaker 3: to see how old he was, and he's sixty three.

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Speaker 2: It really looks good every time I see it.

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Speaker 3: Looks really good. Because I was on Instagram he popped

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Speaker 3: up and I go, what's up with him these days?

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Speaker 3: He's one of my favorites. Yeah, and one of my

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Speaker 3: favorite SNL sketches where he plays a guy named doctor Poop.

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Speaker 3: You guys ever see this.

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Speaker 2: I don't think I've seen doctor Poop.

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Speaker 3: You're gonna want to look that up and post that.

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Speaker 3: It's pretty crazy.

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Speaker 2: Oh, I was, and look at this one a very

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Speaker 2: specific age when the Ladies Man came out where me

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Speaker 2: and all my friends were like, this is an underrated

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Speaker 2: masterpiece and he's so good. Yeah, he's so good.

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Speaker 1: And you were saying Cravasier with a lisp. Yes, yeah, yeah, absolutely,

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Speaker 1: that was absolutely had to if you're a ladies.

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Speaker 2: Man, Yeah, I'm real wow, sixty three, he may keep it.

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Speaker 1: I'm glad he's not like embroidered so many times when

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Speaker 1: you look up past SNL cast members, like if you

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Speaker 1: really start.

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Speaker 2: Digging it, like, oh they're why aren't they canceled? No

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Speaker 2: one's talking about this. This is weird.

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Speaker 1: I don't like this section of what I'm reading. But

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Speaker 1: Tim Meadows, glad to know you're out there doing the

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Speaker 1: good time to know I ship.

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Speaker 2: I hope he. I think there's a girls five I

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Speaker 2: have a plot maybe where like one of them is

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Speaker 2: trying to date Tim Meadows and it goes like he's

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Speaker 2: recently divorced and it's fun. Oh, and they got their

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Speaker 2: eye on him. They got their eye on him. They

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Speaker 2: like see him on the dating apps or something like

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Speaker 2: that as himself as Medows Meadows as Tim Meadows. Yeah,

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Speaker 2: display name the first. Yeah, so I think there's I

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Speaker 2: think there might be a few people checking for Tim Meadows.

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Speaker 5: Yeah.

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Speaker 2: What is something, Claire that you think is overrated?

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Speaker 3: Texting? Mmmmm, what do you mean texting as the primary

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Speaker 3: form of communication? I think it's overrated. I think often

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Speaker 3: things get lost in translation with punctuation and capitalization. I

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Speaker 3: think people need to stop expecting me personally to text

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Speaker 3: them back right away.

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Speaker 2: Yeah, I find texting you gotta let it marinate. You

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Speaker 2: gotta let it marinate.

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Speaker 3: You gotta let it marinate. It's not natural to communicate

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Speaker 3: with each other this quickly in this fashion. It's not natural.

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Speaker 1: I feel like I wish they took like you like

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Speaker 1: switched I message like AOL instant messenger, where you're here,

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Speaker 1: like like a door open, you're like, oh, who signed on?

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Speaker 3: Yeah?

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Speaker 2: What what's that? What's up?

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Speaker 4: Hey?

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Speaker 2: You're on here? Up the door close? Well later, just later.

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Speaker 1: I feel like that was because that was the beginning

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Speaker 1: of sort of like, hey, why aren't you talking to me?

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Speaker 1: Because back then it's like, yeah, because my ass is

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Speaker 1: sat right in front of this fucking computer talking to you.

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Speaker 2: Yeah.

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Speaker 1: Yeah, now with it in the hand. I like, we

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Speaker 1: can't have that expert. I'm even terrible responding right away

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Speaker 1: most of the time, me too.

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Speaker 3: An away message even just say I'll get back one

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Speaker 3: of these Hey, I'm sorry, but I'll get back to shortly.

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Speaker 3: When what is that four hours or four days? Yeah?

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Speaker 1: People, do you have people coming at you for not

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Speaker 1: responding quickly? I'm guessing for what, like real stuff.

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Speaker 2: Like please help me, I need it, I need a

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Speaker 2: right now to the doctor. I'm in big trouble.

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Speaker 3: I'm gonna actually turn my phone off.

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Speaker 4: Now.

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Speaker 3: I'm well, I'm just generally a bad text texterbacker unless

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Speaker 3: it is important. But if it's not important, and it's

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Speaker 3: just like, hey, what.

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Speaker 2: Are you doing next? Sunday? Next? Yeah?

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Speaker 3: And you know, I understand like the feelings of you know,

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Speaker 3: that sort of everyday rejection we go through when somebody

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Speaker 3: doesn't answer right away and you're asking them out or

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Speaker 3: asking them to do something.

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Speaker 2: But I'm just like, wait, are.

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Speaker 1: You saying if we call you on the phone, then

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Speaker 1: I'm going to respond?

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Speaker 2: Really Okay, both of those things stress me out, but yeah,

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Speaker 2: phone calls I feel like much less stressful than having

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Speaker 2: a text that's sitting there, you know, unresponded to.

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Speaker 1: Well, then there's also like that stress like that you have,

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Speaker 1: Like when you see someone calling that you haven't talked

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Speaker 1: to on the phone a long time, You're like, oh,

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Speaker 1: what the fuck is going on? I'm like, we're normally texting?

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Speaker 2: Are you?

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Speaker 3: That means death?

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Speaker 2: Yeah, it's like did you die? Are you right now? Yeah?

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Speaker 2: Oh you have my Deadwood DVD? Still? Ok? Yeah? Yeah?

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00:16:28,400 --> 00:16:30,560
Speaker 1: Yeah, yeah yeah yeah, just bring them over. You can

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Speaker 1: leave by the door. I'll be all right, thanks, oh,

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00:16:32,320 --> 00:16:36,280
Speaker 1: thanks fucking god. Yeah, and you were saying thanks God

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Speaker 1: because you really wanted to. Yeah, don't know how to

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Speaker 1: watch it on streaming. I still don't care about their health.

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Speaker 1: You're just no, no, no, no.

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Speaker 3: No, it's all about the wood.

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Speaker 5: Yeah.

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Speaker 2: When there's like a group chat and like everybody's just

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Speaker 2: like like there's just like text flying back and forth,

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Speaker 2: I will frequently get too stressed out to respond.

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Speaker 1: Oh, I've seen that happen where I feel like we'll

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00:16:59,400 --> 00:17:03,080
Speaker 1: text about it game with Jabari and like Jabari and

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Speaker 1: I start going off on something and slowly I'm.

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Speaker 2: Like Jack, her respond this is fun.

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Speaker 1: These are firefucking texts right now, not even a cat

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Speaker 1: back on anything. And then it gets like seventy message

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Speaker 1: if you're like, sorry, that was a lot to catch

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Speaker 1: up on, a lot to catch up right there.

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Speaker 2: I get it phone on me, you know, comes life does. Yeah,

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Speaker 2: And it's not true that I don't keep my phone

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Speaker 2: on me. I'm just sitting there trying to come up

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Speaker 2: with something to text, and just sweat pouring down, just

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Speaker 2: being like, oh, it's too late. There are already four more.

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Speaker 1: That's where AI would really help you, Jack, Yeah, Jack,

328
00:17:40,359 --> 00:17:41,720
Speaker 1: you find something witty to.

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Speaker 2: Reply about this conversation about Kendrick Lamar. Please, everyone's just

330
00:17:46,880 --> 00:17:51,600
Speaker 2: AI boughts texting with other AI bots. That's the dream,

331
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Speaker 2: according to the founder of Bumble. Oh yeah right, I

332
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Speaker 2: bought dates another AI bought and for you, and that

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Speaker 2: you get to know each other. WHOA, Yeah, that's the

334
00:18:02,680 --> 00:18:05,960
Speaker 2: That's what they they're promising with this AI stuff. It

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00:18:06,000 --> 00:18:09,840
Speaker 2: sounds too good to be true. Claire, What is something

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00:18:09,880 --> 00:18:11,200
Speaker 2: you think is underrated?

337
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Speaker 3: Documentaries?

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00:18:13,320 --> 00:18:14,960
Speaker 2: Okay, okay, what you're watching as.

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00:18:14,880 --> 00:18:18,400
Speaker 3: A as an art form? Just just I just saw

340
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Speaker 3: this one called sperm World. Have you seen this?

341
00:18:20,760 --> 00:18:22,520
Speaker 2: No, but I'm intrigued.

342
00:18:22,960 --> 00:18:32,080
Speaker 3: It's a documentary my favorite theme park, my dream life.

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Speaker 3: It's about these guys who do these sort of unsanctioned

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Speaker 3: sperm giving to women who want to have kids. It's

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Speaker 3: it's like not.

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Speaker 1: They're describing like masturbating on the subway.

347
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Speaker 2: Well, I mean.

348
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Speaker 1: Not to a clinic, but people who like offer their

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00:18:56,920 --> 00:18:59,520
Speaker 1: services like personally, like on like.

350
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Speaker 3: On craigs List, guys are like, I can I have sperm,

351
00:19:02,480 --> 00:19:07,480
Speaker 3: I have a twenty confirmed children out there, Like I

352
00:19:07,600 --> 00:19:10,560
Speaker 3: have strong sperm. I can sell it to you for

353
00:19:10,760 --> 00:19:13,359
Speaker 3: however much and you know, it's always sort of a

354
00:19:13,400 --> 00:19:19,040
Speaker 3: desperate there's desperation on both sides. They're not charging that much.

355
00:19:20,000 --> 00:19:22,120
Speaker 3: There are scenes. There's this one guy who always kind

356
00:19:22,119 --> 00:19:24,000
Speaker 3: of has a big gulp and a cup of his

357
00:19:24,119 --> 00:19:28,320
Speaker 3: own ches and he's like in a parking in a

358
00:19:28,359 --> 00:19:32,280
Speaker 3: parking lot, like leaning into a minivan being like here

359
00:19:32,320 --> 00:19:34,520
Speaker 3: it is here, this is for you. You don't want

360
00:19:34,560 --> 00:19:38,360
Speaker 3: to get and that's delivered. It's often hand delivered or

361
00:19:38,440 --> 00:19:44,520
Speaker 3: sometimes traditional do it traditional yeah, intercourse, yeah, like a

362
00:19:44,680 --> 00:19:47,359
Speaker 3: very like well let's this is like the right time

363
00:19:47,400 --> 00:19:48,879
Speaker 3: to do it. Let's do it now.

364
00:19:49,600 --> 00:19:49,919
Speaker 2: Wow.

365
00:19:50,440 --> 00:19:56,720
Speaker 3: And it's but it's really gross. It really sucks.

366
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Speaker 1: They're not like trying to be like can we kiss

367
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Speaker 1: or like they're like, yo, I just just make the

368
00:20:01,640 --> 00:20:02,520
Speaker 1: deposit and leave.

369
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Speaker 4: Yeah.

370
00:20:02,960 --> 00:20:05,959
Speaker 3: Well the guys are like, okay, so this is what

371
00:20:06,000 --> 00:20:07,560
Speaker 3: we're gonna do. This is how we'll do it. Let

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00:20:07,560 --> 00:20:10,600
Speaker 3: me know if you put your uncomfortable and I recommend

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00:20:10,720 --> 00:20:14,280
Speaker 3: right when you know the seed is planted, you're gonna

374
00:20:14,320 --> 00:20:16,800
Speaker 3: want to like sit up and raise your like they're like,

375
00:20:16,920 --> 00:20:18,920
Speaker 3: what's the whole system they've got down?

376
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Speaker 2: This is so I.

377
00:20:20,440 --> 00:20:24,360
Speaker 1: Watched ninety de Fiance a lot and there's a guy. Yeah,

378
00:20:24,480 --> 00:20:27,040
Speaker 1: also a documentary, but iron there's a guy on this

379
00:20:27,160 --> 00:20:30,040
Speaker 1: season right now who does this like he has he's

380
00:20:30,040 --> 00:20:32,560
Speaker 1: like a prolific sperm donor and he's in a relationship

381
00:20:32,560 --> 00:20:35,080
Speaker 1: and his girlfriend's like, you have to stop this, like,

382
00:20:35,160 --> 00:20:37,160
Speaker 1: and he's like, this is my gift to the world.

383
00:20:37,200 --> 00:20:40,600
Speaker 1: And he's always wearing basketball shorts because he's like concerned

384
00:20:40,600 --> 00:20:43,880
Speaker 1: about his sperm count and overheating his nutsack and takes

385
00:20:43,920 --> 00:20:47,639
Speaker 1: all these supplements and he's like, actually have like forty

386
00:20:47,680 --> 00:20:51,200
Speaker 1: times the volume of sperm than like a normal person's ejaculation.

387
00:20:51,400 --> 00:20:52,840
Speaker 2: And he's like so, but he.

388
00:20:52,800 --> 00:20:56,320
Speaker 1: Has like this weird fucking god complex too. It's really fun.

389
00:20:56,320 --> 00:20:58,800
Speaker 1: He's a really like I'm imagining, it's probably the same

390
00:20:58,840 --> 00:20:59,800
Speaker 1: shit like people got.

391
00:21:00,240 --> 00:21:05,480
Speaker 3: These guys have. These guys have a complex, and it's complex.

392
00:21:06,119 --> 00:21:09,160
Speaker 3: It's a complex, really freaky.

393
00:21:09,680 --> 00:21:09,880
Speaker 2: Yeah.

394
00:21:10,000 --> 00:21:12,480
Speaker 3: Wow, Yeah, you learn you learn a lot.

395
00:21:12,880 --> 00:21:17,240
Speaker 1: Yeah, documentaries, How did you find sperm World? Because that

396
00:21:17,280 --> 00:21:19,359
Speaker 1: feels like some ship. I wish the algorithms are, like, Bro,

397
00:21:19,560 --> 00:21:20,480
Speaker 1: you're gonna want to watch this.

398
00:21:21,400 --> 00:21:24,080
Speaker 3: I just heard it about it through a friend. I

399
00:21:24,119 --> 00:21:27,040
Speaker 3: think it was on It might have been like FX

400
00:21:27,960 --> 00:21:31,200
Speaker 3: or something like that. And this guy just put out

401
00:21:31,280 --> 00:21:33,160
Speaker 3: another documentary called ren Fair.

402
00:21:33,880 --> 00:21:35,560
Speaker 2: I'm watching that, yeah.

403
00:21:36,000 --> 00:21:36,720
Speaker 3: The same guy.

404
00:21:37,320 --> 00:21:38,000
Speaker 2: Is it shot the.

405
00:21:37,960 --> 00:21:40,600
Speaker 3: Same way or no, it's really beautifully shot and.

406
00:21:42,000 --> 00:21:45,680
Speaker 1: Yeah, yeah, beautifully Oh yeah, because ren Fair is very cinematic,

407
00:21:45,880 --> 00:21:47,760
Speaker 1: to the point that I felt it was like really

408
00:21:47,760 --> 00:21:50,080
Speaker 1: blurring the lines of like if it was fiction or not.

409
00:21:50,119 --> 00:21:52,399
Speaker 1: But all I just listened to an interview with him

410
00:21:52,400 --> 00:21:54,639
Speaker 1: and he was saying like no, no, no, Like they're performers,

411
00:21:54,640 --> 00:21:57,000
Speaker 1: so it just has that feeling of like drama because

412
00:21:57,000 --> 00:22:00,840
Speaker 1: they're also totally way too invested in this Renfair big time.

413
00:22:01,119 --> 00:22:06,240
Speaker 2: Yeah thing is such a funny. She fucking hates it.

414
00:22:06,480 --> 00:22:08,520
Speaker 2: She's like, why are you always dressed like this?

415
00:22:08,920 --> 00:22:10,840
Speaker 1: Like he's on a europe like she lives in Malta

416
00:22:10,920 --> 00:22:13,560
Speaker 1: and he's like coming from the US, and she's like, dude,

417
00:22:13,600 --> 00:22:14,399
Speaker 1: the weather's nice.

418
00:22:14,280 --> 00:22:16,240
Speaker 2: Like you're always wearing these basketball She's like, I have.

419
00:22:16,200 --> 00:22:20,640
Speaker 1: To worry about overheating. And it's like so just strange

420
00:22:21,080 --> 00:22:22,760
Speaker 1: the way money maker down there.

421
00:22:22,800 --> 00:22:22,960
Speaker 2: You know.

422
00:22:23,080 --> 00:22:25,199
Speaker 1: Yeah, in a way, if this dude pulled up and

423
00:22:25,240 --> 00:22:27,359
Speaker 1: he's like, I'm here to inseminate, you'd be like, you

424
00:22:27,400 --> 00:22:29,600
Speaker 1: know what now that I'm kind of seeing your whole

425
00:22:29,600 --> 00:22:33,880
Speaker 1: like vibe. No, yeah, I cannot don't help care how

426
00:22:34,000 --> 00:22:37,560
Speaker 1: potent your your seed is. But yeah, they pride themselves

427
00:22:37,560 --> 00:22:38,320
Speaker 1: on that.

428
00:22:38,320 --> 00:22:42,359
Speaker 2: That's amazing. Yeah, all right, well, uh, let's take a

429
00:22:42,400 --> 00:22:45,919
Speaker 2: quick break and we'll come back and talk about Hunter Biden.

430
00:22:46,200 --> 00:22:59,000
Speaker 5: We'll be right back, and we're back.

431
00:22:59,200 --> 00:23:03,240
Speaker 2: We're back. Hunter Biden's like an unofficial one of those guys, right,

432
00:23:03,400 --> 00:23:06,880
Speaker 2: like he's he's got a lot of babies out there.

433
00:23:07,320 --> 00:23:09,400
Speaker 3: There's a guy in sperm world who's got a very

434
00:23:09,400 --> 00:23:11,320
Speaker 3: similar Hunter Biden vibe.

435
00:23:11,760 --> 00:23:13,240
Speaker 2: The similar drugs.

436
00:23:13,600 --> 00:23:17,080
Speaker 1: Yeah, yeah, yeah, yeah, not worried about what that might

437
00:23:17,119 --> 00:23:19,360
Speaker 1: do to his sperm, right, like a lot of drug use.

438
00:23:19,760 --> 00:23:22,640
Speaker 1: Can't imagine it's great for the old seed, but it's

439
00:23:22,680 --> 00:23:23,520
Speaker 1: some swim fast.

440
00:23:23,920 --> 00:23:29,879
Speaker 2: It makes them hungry. I'm telling you, these tadpoles are tweaking.

441
00:23:30,119 --> 00:23:32,440
Speaker 3: I'm telling you they have really good ideas.

442
00:23:32,720 --> 00:23:32,920
Speaker 1: Yeah.

443
00:23:33,000 --> 00:23:36,919
Speaker 2: I feel like Hunter Biden is like, while, you know, not,

444
00:23:37,440 --> 00:23:40,360
Speaker 2: I don't think he's like anyone's model, you know, role

445
00:23:40,400 --> 00:23:44,119
Speaker 2: model necessarily, but I do feel like he's like destigmatizing

446
00:23:44,320 --> 00:23:49,960
Speaker 2: crack use somehow, yeah, like somehow, yeah, like a white person,

447
00:23:50,200 --> 00:23:54,680
Speaker 2: you know. Yeah, and like also somebody who like all

448
00:23:54,720 --> 00:23:57,600
Speaker 2: that testimony where they're like, yeah, he would just smoke

449
00:23:57,640 --> 00:24:02,080
Speaker 2: crack and listen to the Fleet Foxes is like like

450
00:24:02,320 --> 00:24:05,600
Speaker 2: really laid back, chill bandon like and then he'd be

451
00:24:05,640 --> 00:24:08,320
Speaker 2: like really nice and sweet and like I kind of

452
00:24:08,320 --> 00:24:10,320
Speaker 2: fell in love with him a little bit. Was that

453
00:24:10,520 --> 00:24:14,280
Speaker 2: he's just like that? No, that wasn't because she did

454
00:24:14,359 --> 00:24:17,600
Speaker 2: she say she smoked crack with him too? Oh did she? Yes?

455
00:24:17,680 --> 00:24:20,400
Speaker 2: She was wo Wow, we beamed up. Yeah.

456
00:24:20,480 --> 00:24:22,480
Speaker 1: Yeah, She's like I didn't know what to do, but

457
00:24:22,640 --> 00:24:24,320
Speaker 1: yeah we did beam up together.

458
00:24:24,880 --> 00:24:29,760
Speaker 2: Damn. So what a run from that guy? Yeah? Yeah.

459
00:24:29,840 --> 00:24:33,520
Speaker 2: So it was found guilty of three felonies on Tuesday. Yeah.

460
00:24:33,760 --> 00:24:37,280
Speaker 2: I actually like didn't know this was illegal in America.

461
00:24:37,840 --> 00:24:41,200
Speaker 2: That Yeah, you can't have a gun and beyond drugs,

462
00:24:41,560 --> 00:24:42,040
Speaker 2: that's what you.

463
00:24:42,080 --> 00:24:47,120
Speaker 1: Can beyond drug and be a violent domestic abuser, right, yeah,

464
00:24:47,320 --> 00:24:50,640
Speaker 1: have a gun and domestic abuse. Yeah, but again yeah,

465
00:24:50,680 --> 00:24:53,560
Speaker 1: because I think again those are obviously racist gun laws.

466
00:24:53,600 --> 00:24:55,720
Speaker 2: I think there's a very specific they're like, oh drug

467
00:24:55,760 --> 00:24:57,320
Speaker 2: charge no no, no, no, not for you.

468
00:24:57,200 --> 00:25:00,040
Speaker 1: Not for you domestic abusing then that would be and

469
00:25:00,080 --> 00:25:01,200
Speaker 1: a cop can't have a gun.

470
00:25:01,440 --> 00:25:04,440
Speaker 2: I certainly didn't know it was illegal for the president's son.

471
00:25:05,200 --> 00:25:07,200
Speaker 2: You know, it seems like the sort of thing they'd

472
00:25:07,240 --> 00:25:08,280
Speaker 2: normally get away with.

473
00:25:08,520 --> 00:25:11,240
Speaker 1: But like, yeah, man, the right is having like such

474
00:25:11,240 --> 00:25:14,480
Speaker 1: a weird time with this verdict because like since Biden

475
00:25:14,560 --> 00:25:17,359
Speaker 1: took office, right the emphasis has been on like.

476
00:25:17,359 --> 00:25:20,120
Speaker 2: This like Biden crime family.

477
00:25:20,000 --> 00:25:22,760
Speaker 1: Fucking narrative that they always hear on Fox News and

478
00:25:22,800 --> 00:25:26,200
Speaker 1: from the right wing talker sphere, and they just can't

479
00:25:26,240 --> 00:25:29,200
Speaker 1: get it to pop because there's just no evidence of this.

480
00:25:29,240 --> 00:25:31,359
Speaker 1: We saw like they tried to go through with an

481
00:25:31,359 --> 00:25:34,399
Speaker 1: impeachment of Joe Biden visa v. Hunter, but like well

482
00:25:34,440 --> 00:25:37,600
Speaker 1: like they're like, if Hunter Biden's bad, if so in fact,

483
00:25:37,600 --> 00:25:40,720
Speaker 1: so Joe Biden is also bad, and then we must

484
00:25:40,800 --> 00:25:41,680
Speaker 1: find the evidence.

485
00:25:41,760 --> 00:25:44,800
Speaker 2: And then they're like we don't. We can't really find

486
00:25:44,880 --> 00:25:48,240
Speaker 2: any shit to do this. Yeah. So it's just like

487
00:25:48,320 --> 00:25:52,240
Speaker 2: Joe Biden does not seem competent or you know, like

488
00:25:52,320 --> 00:25:54,600
Speaker 2: he doesn't seem like the type of person who could

489
00:25:54,600 --> 00:25:57,240
Speaker 2: be the head of a crime family. Yeah, when you

490
00:25:57,280 --> 00:26:00,760
Speaker 2: see that movie they made about Hunter and like that

491
00:26:00,880 --> 00:26:03,360
Speaker 2: they had to like turn him into this like Kaiser,

492
00:26:03,480 --> 00:26:07,359
Speaker 2: So's a like type thing who's like all of a

493
00:26:07,359 --> 00:26:10,959
Speaker 2: sudden becomes this like sinister motherfucker behind the scenes, Like

494
00:26:11,000 --> 00:26:15,520
Speaker 2: he just has a complete personality shift. He's like, that's right, hunter,

495
00:26:16,040 --> 00:26:18,600
Speaker 2: you're doing my bidding right, and.

496
00:26:18,520 --> 00:26:20,639
Speaker 3: You're gonna or anything.

497
00:26:22,119 --> 00:26:26,800
Speaker 2: Yeah, like you could with the Clinton's that's good casting.

498
00:26:26,880 --> 00:26:29,679
Speaker 2: Like Bill Clinton. You're like, yeah, of course, that guy's

499
00:26:29,720 --> 00:26:32,960
Speaker 2: like fucking up and you know, having sex with anything

500
00:26:33,040 --> 00:26:37,960
Speaker 2: that will allow him and uh sometimes not and you know,

501
00:26:38,240 --> 00:26:41,320
Speaker 2: like it's just that Joe Biden, it just doesn't. I

502
00:26:41,320 --> 00:26:42,560
Speaker 2: don't I don't think he's.

503
00:26:42,440 --> 00:26:45,560
Speaker 1: Just too fucking boring, you know what I mean. You

504
00:26:45,600 --> 00:26:49,400
Speaker 1: can't map anything onto Joe Biden aside from like literally sleepy,

505
00:26:49,840 --> 00:26:52,080
Speaker 1: like as even Trump said, I'm like I buy sleepy

506
00:26:52,200 --> 00:26:52,720
Speaker 1: Joe Biden.

507
00:26:52,800 --> 00:26:53,200
Speaker 2: I buy that.

508
00:26:53,600 --> 00:26:57,800
Speaker 1: I would even buy World War one ghost Joe Biden,

509
00:26:59,400 --> 00:27:01,400
Speaker 1: like he might have a better time. Like I think

510
00:27:01,400 --> 00:27:05,080
Speaker 1: this guy's a fucking World War One ghostost with.

511
00:27:05,080 --> 00:27:07,560
Speaker 3: This, he's just stuck in between worlds.

512
00:27:07,840 --> 00:27:13,320
Speaker 2: Yeah, yeah, he needs to right his wrongs.

513
00:27:13,560 --> 00:27:16,320
Speaker 3: Do you think this will change the rights view of

514
00:27:16,480 --> 00:27:20,080
Speaker 3: sort of the justice system in general, with Trump being.

515
00:27:20,280 --> 00:27:24,639
Speaker 1: Well, here's the thing right this no, well here, this

516
00:27:24,720 --> 00:27:26,480
Speaker 1: is the thing right because everything is also they have

517
00:27:26,600 --> 00:27:28,960
Speaker 1: to also keep the other narrative going that the Justice

518
00:27:29,000 --> 00:27:32,680
Speaker 1: Department has been weaponized against all conservatives. They're rounding up

519
00:27:32,760 --> 00:27:35,919
Speaker 1: conservative parents or January sixers, like well, yeah, I mean

520
00:27:35,920 --> 00:27:39,240
Speaker 1: the people who fucking storm the cap gall with surprise anyway.

521
00:27:39,440 --> 00:27:42,200
Speaker 1: So then if you look at right Trump being prosecuted

522
00:27:42,280 --> 00:27:43,920
Speaker 1: for all the ship that he's done and the hush

523
00:27:43,960 --> 00:27:47,359
Speaker 1: money shit, weaponize DJ is what they cry and scream

524
00:27:47,400 --> 00:27:50,280
Speaker 1: and fundraise off of. Then when Robert her who's another

525
00:27:50,280 --> 00:27:53,840
Speaker 1: special counsel who was also a Trump appointee, looked at

526
00:27:53,920 --> 00:27:56,560
Speaker 1: the Biden sort of documents thing that he had some

527
00:27:56,640 --> 00:27:59,480
Speaker 1: documents in his garage, he was just like, yeah, honestly,

528
00:27:59,520 --> 00:28:02,119
Speaker 1: like I I really can't find any evidence to prosecute

529
00:28:02,119 --> 00:28:02,680
Speaker 1: this at all.

530
00:28:02,960 --> 00:28:05,240
Speaker 2: And they're like, oh wow, weaponized d o J.

531
00:28:05,440 --> 00:28:07,800
Speaker 1: They're protecting him. It's like that guy's a fucking trumpet.

532
00:28:07,800 --> 00:28:10,640
Speaker 2: Point. And then that is one crime that I can

533
00:28:10,680 --> 00:28:14,960
Speaker 2: imagine him doing, right, just like misplacing some ship next

534
00:28:14,960 --> 00:28:21,200
Speaker 2: to an old put this, yeah, kids to ask them

535
00:28:21,240 --> 00:28:25,879
Speaker 2: like how to find something or you're not making airplanes

536
00:28:25,920 --> 00:28:29,919
Speaker 2: with that those papers again, are you? I think the

537
00:28:29,960 --> 00:28:33,000
Speaker 2: box of papers was like in a garage, like next

538
00:28:33,000 --> 00:28:37,120
Speaker 2: to an old antique car it's like, yeah, that's Joe Biden,

539
00:28:37,320 --> 00:28:39,880
Speaker 2: Like none of this is like and then I'm gonna, like,

540
00:28:40,440 --> 00:28:43,640
Speaker 2: you know, make a deal with a shady company to

541
00:28:44,040 --> 00:28:45,360
Speaker 2: enrich myself.

542
00:28:45,480 --> 00:28:47,920
Speaker 1: If they can do that outwardly under the guise of

543
00:28:48,160 --> 00:28:52,320
Speaker 1: yeah legal ways to do that, right, but yeah, And

544
00:28:52,360 --> 00:28:57,080
Speaker 1: now that Hunter Biden has been found guilty, they're like,

545
00:28:57,480 --> 00:29:00,400
Speaker 1: oh h well, but for the other stuff, it was

546
00:29:00,440 --> 00:29:04,720
Speaker 1: easy to say that. Like so, for example, Charlie Kirk said, quote,

547
00:29:04,840 --> 00:29:08,560
Speaker 1: Hunter Biden guilty, yond the true crimes of the Biden

548
00:29:08,640 --> 00:29:12,160
Speaker 1: crime family remain untouched. This is a fake trial trying

549
00:29:12,200 --> 00:29:14,840
Speaker 1: to make the justice system appear balanced.

550
00:29:15,240 --> 00:29:16,200
Speaker 2: Don't fall for it.

551
00:29:16,520 --> 00:29:20,959
Speaker 1: Then you have mister teenage mutant Ninja Gebels Stephen Miller

552
00:29:21,200 --> 00:29:25,040
Speaker 1: out here saying quote, the gun charges are giant misdirection,

553
00:29:25,480 --> 00:29:28,320
Speaker 1: an easy opportunity for the Justice Apartment to hoodwink a

554
00:29:28,640 --> 00:29:30,320
Speaker 1: client media that is all.

555
00:29:30,240 --> 00:29:32,440
Speaker 2: Too willing to be duped. Don't be gas lit.

556
00:29:32,680 --> 00:29:36,240
Speaker 1: This is all about protecting Joe Biden, and only Joe Biden.

557
00:29:36,720 --> 00:29:39,120
Speaker 1: So again, it's also important to note here that the

558
00:29:39,200 --> 00:29:42,720
Speaker 1: prosecutor that just secured this conviction against Hunter Biden, guess

559
00:29:42,760 --> 00:29:46,520
Speaker 1: who he was fucking appointed by Donald Trump. Okay, so

560
00:29:46,880 --> 00:29:49,960
Speaker 1: you have a Trump appointee who took a case to trial,

561
00:29:50,160 --> 00:29:53,480
Speaker 1: presented the facts, and got a conviction. But somehow this

562
00:29:53,600 --> 00:29:56,600
Speaker 1: is an example of how no fair the judicial system

563
00:29:56,720 --> 00:29:58,800
Speaker 1: also is. But I think again, for them, it's a

564
00:29:58,840 --> 00:30:01,400
Speaker 1: lot easier to raise money when one of your guys

565
00:30:01,440 --> 00:30:05,640
Speaker 1: is found guilty and then you can always be like, exactly, man,

566
00:30:05,680 --> 00:30:07,800
Speaker 1: they're trying to fuck with us. But when your opponent

567
00:30:07,880 --> 00:30:10,480
Speaker 1: is also subjected to the same legal system, you have

568
00:30:10,560 --> 00:30:13,520
Speaker 1: to fucking pivot quick. And now it's just like, oh no,

569
00:30:13,560 --> 00:30:15,720
Speaker 1: they're just doing this to distract. Now, like that that's

570
00:30:15,760 --> 00:30:17,360
Speaker 1: not even like yeah, maybe it work, but it's just

571
00:30:17,440 --> 00:30:18,120
Speaker 1: it's a distraction.

572
00:30:18,240 --> 00:30:20,320
Speaker 2: Don't believe it? Do we think there was a point

573
00:30:20,320 --> 00:30:22,320
Speaker 2: where they like came to Joe Biden they were like,

574
00:30:22,640 --> 00:30:26,200
Speaker 2: do we like, do you want us to protect like

575
00:30:26,520 --> 00:30:30,960
Speaker 2: make sure this comes back innocent? And he was just like, nah, man,

576
00:30:31,120 --> 00:30:33,960
Speaker 2: like you did the gladiator thumbs, Yeah, yeah, because I

577
00:30:34,000 --> 00:30:37,080
Speaker 2: mean Hunter is fucking up out there. You know, I'm

578
00:30:37,080 --> 00:30:39,400
Speaker 2: sure that he doesn't sleep well at night for a

579
00:30:39,480 --> 00:30:42,280
Speaker 2: number of reasons, but like that, yeah, that being one

580
00:30:42,320 --> 00:30:45,920
Speaker 2: of them, and then also just from a public like

581
00:30:45,960 --> 00:30:48,680
Speaker 2: this is kind of good for his campaign in a

582
00:30:48,720 --> 00:30:52,360
Speaker 2: way because it doesn't like, yeah, like it fucks up

583
00:30:52,400 --> 00:30:56,560
Speaker 2: their messaging that the systems being weaponized only against conservatives.

584
00:30:56,920 --> 00:30:59,640
Speaker 2: So like, I do wonder did make me like seeing

585
00:30:59,640 --> 00:31:01,920
Speaker 2: how a playing out? I was like, oh, I do

586
00:31:02,040 --> 00:31:04,760
Speaker 2: wonder if like there was an opportunity for him to

587
00:31:05,200 --> 00:31:06,680
Speaker 2: put his thumb on the scale and here I mean

588
00:31:06,840 --> 00:31:08,360
Speaker 2: just truly chose not to.

589
00:31:08,760 --> 00:31:10,520
Speaker 1: Yeah, or he did that thing where he's like, you know,

590
00:31:10,680 --> 00:31:12,840
Speaker 1: like you get in trouble with the police and they

591
00:31:12,840 --> 00:31:14,280
Speaker 1: call your parents, They're like, do you want to come

592
00:31:14,320 --> 00:31:15,960
Speaker 1: get your child? They're like no, I think he needs

593
00:31:15,960 --> 00:31:16,680
Speaker 1: to learn a lesson.

594
00:31:16,880 --> 00:31:20,320
Speaker 3: Yeah, yeah, he's hit too many rock bottoms. He needs

595
00:31:20,360 --> 00:31:23,760
Speaker 3: to sit in prison for just a couple of days.

596
00:31:24,440 --> 00:31:26,360
Speaker 1: But you know, it's a first defense, so it's really

597
00:31:26,480 --> 00:31:29,760
Speaker 1: unlikely that even that happens. So it's kind of like, yeah,

598
00:31:29,960 --> 00:31:33,160
Speaker 1: now you can you just like you can't buy any

599
00:31:33,160 --> 00:31:35,800
Speaker 1: more guns, Hunter, no more bang gangs for you. But

600
00:31:35,920 --> 00:31:38,040
Speaker 1: like but all the like Biden crime.

601
00:31:38,600 --> 00:31:43,920
Speaker 2: That's what if he like was objecting to that, He's like, cool, on, wait,

602
00:31:44,200 --> 00:31:46,800
Speaker 2: get my gun back. Well, I'm not gonna stop smoking crack,

603
00:31:47,000 --> 00:31:50,920
Speaker 2: So uh.

604
00:31:49,880 --> 00:31:52,560
Speaker 1: That's my progative what if I keep the guns but

605
00:31:52,600 --> 00:31:54,440
Speaker 1: I never buy bullets. I just think it's cool to

606
00:31:54,480 --> 00:31:58,240
Speaker 1: have and to hold it stuff in the mirror, like freeze, motherfucker,

607
00:31:58,800 --> 00:31:59,240
Speaker 1: and then.

608
00:31:59,480 --> 00:32:01,680
Speaker 2: High I can throw the bullets.

609
00:32:01,240 --> 00:32:03,840
Speaker 3: At you really think, I mean, it seems like samurai

610
00:32:03,920 --> 00:32:07,160
Speaker 3: swords would be more of a crackhead kind of thing, right,

611
00:32:08,680 --> 00:32:11,040
Speaker 3: You should just have a bunch of samurai swords on

612
00:32:11,080 --> 00:32:11,480
Speaker 3: the wall.

613
00:32:12,080 --> 00:32:15,240
Speaker 2: There's no chance that that motherfucker doesn't have at least

614
00:32:15,240 --> 00:32:19,560
Speaker 2: a couple of samurai swords in at least like one

615
00:32:19,600 --> 00:32:24,120
Speaker 2: of his places that he flops that. Yeah, yeah, yeah,

616
00:32:24,200 --> 00:32:29,720
Speaker 2: I mean it. I can totally see him. Or what

617
00:32:29,800 --> 00:32:36,040
Speaker 2: was it? Who's it in Boogie Knights the Alfred Molina style?

618
00:32:36,360 --> 00:32:39,520
Speaker 1: Just have the homie out there just throwing firecrackers around

619
00:32:39,680 --> 00:32:41,720
Speaker 1: while you just kick it in your robe and pull

620
00:32:41,760 --> 00:32:45,400
Speaker 1: out your empty revolver, although Molina's was loaded, but anyway, Yeah,

621
00:32:45,400 --> 00:32:47,840
Speaker 1: but like all this stuff always has like this undercurrent

622
00:32:47,880 --> 00:32:51,400
Speaker 1: of like revenge to it, and like these people are

623
00:32:51,440 --> 00:32:55,080
Speaker 1: so bad, and because they're doing weaponized doj to us,

624
00:32:55,200 --> 00:32:57,760
Speaker 1: it only makes sense that when Trump is back in office,

625
00:32:57,880 --> 00:33:00,400
Speaker 1: we're gonna do weaponized do OJ to them, because that

626
00:33:00,440 --> 00:33:02,560
Speaker 1: has been the rhetoric that's really picked up in the

627
00:33:02,600 --> 00:33:05,040
Speaker 1: last couple of months about yeah, I may have to,

628
00:33:05,160 --> 00:33:07,000
Speaker 1: I may have to, you know, like the doctor Phil thing.

629
00:33:07,160 --> 00:33:10,360
Speaker 1: He's like, revenge is sometimes doctor Phil, it is good

630
00:33:10,720 --> 00:33:14,600
Speaker 1: I got Unfortunately I disagree with you. There Phil, it

631
00:33:14,640 --> 00:33:15,080
Speaker 1: is healthy.

632
00:33:15,280 --> 00:33:17,320
Speaker 2: It is doc got to disagree with you.

633
00:33:17,600 --> 00:33:19,960
Speaker 1: And like this fundraising emo that came out of the

634
00:33:20,000 --> 00:33:23,080
Speaker 1: Trump campaign, like right after this, within you know, hours

635
00:33:23,080 --> 00:33:25,640
Speaker 1: of the the conviction was said.

636
00:33:26,280 --> 00:33:30,920
Speaker 2: The subject line was haul out the guillotine, like this is.

637
00:33:31,240 --> 00:33:34,000
Speaker 1: This is yeah, it's an escalation, but somehow nothing of

638
00:33:34,040 --> 00:33:35,960
Speaker 1: it all has to do with the This is what

639
00:33:36,000 --> 00:33:38,840
Speaker 1: I said. Remember when that sicko Kathy Griffin made the

640
00:33:38,960 --> 00:33:42,680
Speaker 1: rounds parading my beaded head when I was when I

641
00:33:42,760 --> 00:33:46,479
Speaker 1: was president, the radical left cheered, Obama and Biden were silent,

642
00:33:46,720 --> 00:33:49,440
Speaker 1: and the fake news blasted it everywhere. And then he

643
00:33:49,480 --> 00:33:52,240
Speaker 1: goes on to be like the sad fact here is

644
00:33:52,240 --> 00:33:55,280
Speaker 1: that this is still the sick dream of every Trump

645
00:33:55,320 --> 00:33:58,000
Speaker 1: deranged lunatic out there. Stand with me, and it says,

646
00:33:58,280 --> 00:34:02,640
Speaker 1: and it's not just about me. They're really coming after you, sick,

647
00:34:02,840 --> 00:34:05,760
Speaker 1: sick sick, And you know, I think that's where they're

648
00:34:05,800 --> 00:34:08,759
Speaker 1: going with this again, it's to get the feeling that

649
00:34:09,000 --> 00:34:13,360
Speaker 1: we it'll be justified when it goes totally extra judicial

650
00:34:13,680 --> 00:34:18,839
Speaker 1: in a second Trump administration if that happens, but definitely likely.

651
00:34:19,360 --> 00:34:22,880
Speaker 2: Yeah, So is he saying haul out the guillotine? Like

652
00:34:23,800 --> 00:34:25,960
Speaker 2: I don't know, I like, I know, Fascism's whole thing

653
00:34:26,080 --> 00:34:29,680
Speaker 2: is like co opting talking point, co opting what the

654
00:34:29,760 --> 00:34:33,200
Speaker 2: left should be doing, right, right, right, But so is

655
00:34:33,239 --> 00:34:39,560
Speaker 2: he saying, like like start beheading the bidens. I don't know.

656
00:34:39,640 --> 00:34:45,120
Speaker 1: Like that's why it's like vague enough that you're like, yeah, yeah, this.

657
00:34:45,080 --> 00:34:47,799
Speaker 2: Does feel like it was literally written by him with

658
00:34:47,920 --> 00:34:51,239
Speaker 2: the all caps six six guine.

659
00:34:51,800 --> 00:34:54,160
Speaker 1: Yeah, well, I mean yeah, this is where his head

660
00:34:54,200 --> 00:34:55,000
Speaker 1: is at at the moment.

661
00:34:55,239 --> 00:34:57,319
Speaker 2: Yeah, they're going to start killing people at some point.

662
00:34:57,560 --> 00:34:59,520
Speaker 2: It feels like, I mean, yeah.

663
00:34:59,400 --> 00:35:00,920
Speaker 1: The police are to do that for them. But I

664
00:35:00,960 --> 00:35:03,600
Speaker 1: would say that, you know, when the trial started, these

665
00:35:03,600 --> 00:35:06,319
Speaker 1: same people were basically saying, you know, like, well, the

666
00:35:06,360 --> 00:35:09,520
Speaker 1: weaponize Biden, do OJ's actually gonna tip the scales to

667
00:35:09,560 --> 00:35:11,960
Speaker 1: get a not guilty verdict, Like that's what they're gonna do.

668
00:35:12,080 --> 00:35:14,919
Speaker 1: Like that was they kept being insisting like watch this shit,

669
00:35:15,360 --> 00:35:17,080
Speaker 1: he's gonna be he's gonna walk out of there.

670
00:35:17,520 --> 00:35:17,840
Speaker 2: Uh.

671
00:35:17,880 --> 00:35:19,840
Speaker 1: And then they and then they even pointed to the

672
00:35:19,880 --> 00:35:24,240
Speaker 1: fact that like, why would his own stepmother, Jill Biden

673
00:35:24,920 --> 00:35:28,680
Speaker 1: go to the fucking trial unless she was trying to

674
00:35:28,760 --> 00:35:33,080
Speaker 1: completely politicize this, why would his family go to the trial?

675
00:35:33,680 --> 00:35:33,799
Speaker 2: Uh?

676
00:35:34,040 --> 00:35:37,040
Speaker 1: But meanwhile you had they the literal fucking Speaker of

677
00:35:37,080 --> 00:35:40,360
Speaker 1: the House like shrieking outside the courtroom when Trump was

678
00:35:40,400 --> 00:35:41,240
Speaker 1: on trial, being.

679
00:35:41,120 --> 00:35:43,960
Speaker 2: Like, this is their trying. This is a summary execution

680
00:35:44,120 --> 00:35:45,120
Speaker 2: in broad daylight.

681
00:35:45,680 --> 00:35:48,600
Speaker 1: So I'm not gonna obviously point out the hypocrisy there.

682
00:35:48,640 --> 00:35:50,520
Speaker 1: I mean, I did, but it's not meaningful at this

683
00:35:50,520 --> 00:35:53,640
Speaker 1: point looking at the Republicans. But yeah, this whole election

684
00:35:53,760 --> 00:35:57,160
Speaker 1: narrative for them is just about how fucking corrupt the

685
00:35:57,200 --> 00:36:00,000
Speaker 1: Biden crime family is, because it's certainly not gonna be

686
00:36:00,080 --> 00:36:03,719
Speaker 1: about policy, since they literally have no ideas outside of

687
00:36:03,800 --> 00:36:07,960
Speaker 1: just punishing people who want abortions or you know, are

688
00:36:08,000 --> 00:36:11,000
Speaker 1: not cis had Christian people. Yeah, that's the only policies

689
00:36:11,000 --> 00:36:13,160
Speaker 1: I think we hear articulated. It's like, oh, and they're

690
00:36:13,160 --> 00:36:13,759
Speaker 1: going to get it.

691
00:36:14,160 --> 00:36:16,400
Speaker 2: I feel like they at least part of the problem

692
00:36:16,440 --> 00:36:19,799
Speaker 2: with the story is that like they kind of have

693
00:36:19,880 --> 00:36:22,919
Speaker 2: to at least partially like Hunter Biden, like on the right,

694
00:36:23,480 --> 00:36:26,640
Speaker 2: you know, like having gun, yes, right when the government

695
00:36:26,680 --> 00:36:27,560
Speaker 2: says you shouldn't.

696
00:36:28,360 --> 00:36:31,680
Speaker 3: I think they're complicated feelings all around. They see themselves

697
00:36:31,719 --> 00:36:33,279
Speaker 3: in the sky, but they don't want to.

698
00:36:34,000 --> 00:36:35,439
Speaker 2: Yeah, exactly right.

699
00:36:36,040 --> 00:36:37,640
Speaker 1: I mean that tends to be the thing we hate

700
00:36:37,680 --> 00:36:40,520
Speaker 1: most in other people, the things that remind us of ourselves.

701
00:36:41,719 --> 00:36:44,719
Speaker 1: A lesson in some armchair psychology for all. There you go,

702
00:36:45,200 --> 00:36:47,759
Speaker 1: all right, let's take a quick break. We'll be right back,

703
00:36:58,480 --> 00:36:59,279
Speaker 1: and we're back.

704
00:37:02,920 --> 00:37:05,960
Speaker 2: All right. There's this article in what was it in,

705
00:37:07,080 --> 00:37:10,240
Speaker 2: I don't know, Apple News, So one of the reporter

706
00:37:10,840 --> 00:37:13,200
Speaker 2: probably a Hollywood reporter, one of those places that makes

707
00:37:13,200 --> 00:37:15,800
Speaker 2: you subscribe, or you can get it through Apple News,

708
00:37:15,800 --> 00:37:19,919
Speaker 2: but the headline is Hollywood Nightmare. New streaming service lets

709
00:37:20,000 --> 00:37:23,760
Speaker 2: viewers create their own shows using AI, and the promise

710
00:37:23,880 --> 00:37:28,759
Speaker 2: is the generative artificial intelligence, the auto complete thing that

711
00:37:29,000 --> 00:37:31,920
Speaker 2: chat GPT does is coming for streaming with the release

712
00:37:31,960 --> 00:37:35,560
Speaker 2: of a platform dedicated to AI content that allows users

713
00:37:35,600 --> 00:37:38,680
Speaker 2: to create episodes with a prompt of just a couple

714
00:37:38,800 --> 00:37:43,440
Speaker 2: of words, Oh wow, what would those words be that

715
00:37:43,520 --> 00:37:46,719
Speaker 2: you think you would get a good show out of?

716
00:37:47,239 --> 00:37:49,080
Speaker 3: Step Mom? Bubs?

717
00:37:49,200 --> 00:37:52,799
Speaker 2: Right, Yeah, Like that makes sense to me if you're

718
00:37:52,880 --> 00:37:59,800
Speaker 2: telling you what's going to happen, and sure like that

719
00:38:00,040 --> 00:38:01,319
Speaker 2: if you told me that, I'd be like, I bet

720
00:38:01,360 --> 00:38:05,520
Speaker 2: that would be pretty popular. But like creating long form

721
00:38:05,800 --> 00:38:11,440
Speaker 2: entertainment that like competes with Netflix just like seems I don't, like,

722
00:38:11,480 --> 00:38:15,200
Speaker 2: I don't even know how they think that's going to work.

723
00:38:16,000 --> 00:38:20,680
Speaker 2: And like what So I read the article and the example.

724
00:38:20,719 --> 00:38:22,480
Speaker 2: I was like, do they have like an example that

725
00:38:22,520 --> 00:38:25,480
Speaker 2: we can look at? And they have this south Park

726
00:38:25,640 --> 00:38:30,120
Speaker 2: deep fake that is so it's just a south Park

727
00:38:30,160 --> 00:38:34,520
Speaker 2: episode without jokes and where the characters instead of like

728
00:38:34,560 --> 00:38:37,160
Speaker 2: doing anything, just like kind of stand in a hallway

729
00:38:37,480 --> 00:38:41,440
Speaker 2: and say lines towards the camera. Yeah. But it's and

730
00:38:41,600 --> 00:38:44,120
Speaker 2: like they sound like all the south Park characters sound

731
00:38:44,200 --> 00:38:48,359
Speaker 2: like tech bros. Like the questions are like they're they don't.

732
00:38:48,400 --> 00:38:50,360
Speaker 1: I mean, all the voices are just like no, it

733
00:38:50,400 --> 00:38:54,520
Speaker 1: all sounds like yeah. Just but like even the nuances

734
00:38:54,560 --> 00:38:58,080
Speaker 1: between the characters they talk like tech bros in this thing, right,

735
00:38:58,160 --> 00:39:00,440
Speaker 1: it's like you literally pick like who's the hero of

736
00:39:00,480 --> 00:39:03,200
Speaker 1: the episode, which characters do you want in the episode,

737
00:39:03,239 --> 00:39:06,480
Speaker 1: and then what's your prompt? This one says, uh, Cartman

738
00:39:06,560 --> 00:39:09,839
Speaker 1: heard of the screen actors guild strike and blah blah

739
00:39:09,920 --> 00:39:11,000
Speaker 1: blah blah blah.

740
00:39:11,040 --> 00:39:12,480
Speaker 2: So this is what the shit sounds like.

741
00:39:12,880 --> 00:39:15,960
Speaker 6: That's ridiculous, Cartman. Is it ridiculous or is it so

742
00:39:16,040 --> 00:39:20,160
Speaker 6: ridiculous that it just might work? No, it's definitely just ridiculous. Well,

743
00:39:20,200 --> 00:39:21,800
Speaker 6: then I guess you guys won't want to cut the

744
00:39:21,840 --> 00:39:24,759
Speaker 6: profits when Queepy takes off more for me, then there

745
00:39:24,800 --> 00:39:27,279
Speaker 6: won't be any profits, Cartman, you're going to get sued.

746
00:39:27,600 --> 00:39:28,640
Speaker 2: Not if they can't prove it.

747
00:39:28,760 --> 00:39:30,680
Speaker 6: Now, if you'll excuse me, I have a deep fake

748
00:39:30,719 --> 00:39:31,840
Speaker 6: streaming empire to build.

749
00:39:32,200 --> 00:39:35,320
Speaker 2: Yeah, uh huh so and then cut to next scene

750
00:39:35,480 --> 00:39:40,960
Speaker 2: where they're just delivering lines like I'm just repeating the

751
00:39:41,000 --> 00:39:43,480
Speaker 2: same premise over and over again. And then they're like

752
00:39:44,400 --> 00:39:47,680
Speaker 2: they've seen episodes of South Park before, so they're like

753
00:39:47,719 --> 00:39:49,960
Speaker 2: and then Tom Cruise makes a cameo, but like he

754
00:39:50,000 --> 00:39:54,120
Speaker 2: doesn't do like there's no content, there's like no ideas

755
00:39:54,160 --> 00:39:57,680
Speaker 2: in it, there's no jokes in it. It's just like,

756
00:39:57,760 --> 00:40:02,400
Speaker 2: wait form inform a South Park episode?

757
00:40:02,560 --> 00:40:06,920
Speaker 3: Are they taking so you can write your own quote

758
00:40:06,960 --> 00:40:10,640
Speaker 3: unquote write your own shows? But it's is it all

759
00:40:10,680 --> 00:40:14,360
Speaker 3: through existing ip it's not even like they generate new

760
00:40:14,960 --> 00:40:17,440
Speaker 3: characters that look like you or anything like that.

761
00:40:17,560 --> 00:40:21,440
Speaker 1: I think this is just like a demonstration of just demontration.

762
00:40:22,880 --> 00:40:24,360
Speaker 2: Yeah how but I think.

763
00:40:25,000 --> 00:40:28,319
Speaker 1: The far out version, the far out version will be

764
00:40:28,520 --> 00:40:32,719
Speaker 1: like I want to see a like Steve McQueen esque

765
00:40:32,840 --> 00:40:36,600
Speaker 1: movie where my uncle is the getaway drive, you know,

766
00:40:36,680 --> 00:40:38,319
Speaker 1: like that kind of shit. I think is what they

767
00:40:38,600 --> 00:40:41,360
Speaker 1: they're trying to say is the fucking future. But I

768
00:40:41,360 --> 00:40:43,640
Speaker 1: think again, the only ship that this stuff is good

769
00:40:43,640 --> 00:40:46,560
Speaker 1: for is like playing around, not like real creative shit.

770
00:40:46,640 --> 00:40:49,520
Speaker 1: So I think porn is probably the thing that would

771
00:40:49,520 --> 00:40:51,799
Speaker 1: get the most use out of it because in a way,

772
00:40:51,880 --> 00:40:54,600
Speaker 1: like it's you're trying to externalize your fantasies in some

773
00:40:54,719 --> 00:40:58,040
Speaker 1: way people don't know how to Everyone knows a story

774
00:40:58,280 --> 00:40:58,680
Speaker 1: like just.

775
00:40:58,840 --> 00:41:02,439
Speaker 2: Very functional, right, It's not like you're trying to have

776
00:41:02,520 --> 00:41:06,120
Speaker 2: the subtlety of like art with commentary or anything like that.

777
00:41:06,320 --> 00:41:08,040
Speaker 2: You know, Yeah yeah.

778
00:41:07,960 --> 00:41:10,560
Speaker 1: Yeah, I mean again, like I think hopefully, if anything,

779
00:41:10,600 --> 00:41:13,120
Speaker 1: this helps people understand like, man, I don't know how

780
00:41:13,120 --> 00:41:15,279
Speaker 1: to fucking make anything, dude, Like I tried to make

781
00:41:15,320 --> 00:41:17,839
Speaker 1: a cool show with the fucking AI and I'm like, man,

782
00:41:17,920 --> 00:41:19,680
Speaker 1: fucking I'm back Yeah.

783
00:41:19,800 --> 00:41:23,640
Speaker 3: If everyone realizes they're out of their league, they.

784
00:41:23,080 --> 00:41:25,720
Speaker 2: They can keep.

785
00:41:25,239 --> 00:41:26,760
Speaker 3: Graphic designing or whatever.

786
00:41:27,160 --> 00:41:29,440
Speaker 2: Right, I recommend everybody. Why well, we'll link off to

787
00:41:29,480 --> 00:41:33,560
Speaker 2: the south Park episode. It's worth like forcing yourself through

788
00:41:33,719 --> 00:41:36,440
Speaker 2: five minutes of it just to like get a sense

789
00:41:36,680 --> 00:41:41,720
Speaker 2: of because I feel like it really illustrates the people

790
00:41:41,800 --> 00:41:44,400
Speaker 2: who are doing this and like what they think is

791
00:41:44,640 --> 00:41:50,720
Speaker 2: cool and just how depressing and like bereft of any soul.

792
00:41:51,120 --> 00:41:53,920
Speaker 2: Like it is like not that South Park is like

793
00:41:54,040 --> 00:41:58,080
Speaker 2: this soulful thing, but it's just it really is wild.

794
00:41:58,160 --> 00:42:01,280
Speaker 2: Like it's hard, it's hard to describe it. It will

795
00:42:02,280 --> 00:42:09,279
Speaker 2: make you want to do a hard reset with a gun. Yeah, yeah,

796
00:42:09,480 --> 00:42:12,680
Speaker 2: just really get it out the Uh So, you're never

797
00:42:12,680 --> 00:42:15,960
Speaker 2: gonna guess which actor does not seem to appreciate the

798
00:42:16,040 --> 00:42:20,799
Speaker 2: limits of AI. That's right, it is Ashton Kutcher. He

799
00:42:20,880 --> 00:42:24,200
Speaker 2: recently made headlines after sitting down with Google CEO Eric

800
00:42:24,239 --> 00:42:28,200
Speaker 2: Schmidt and extolling the virtues of AI. He specifically heaped

801
00:42:28,200 --> 00:42:31,799
Speaker 2: praise on generative text to video AI tools such as

802
00:42:31,880 --> 00:42:35,600
Speaker 2: Open Ai Sora, which we we've talked about Sora before.

803
00:42:35,640 --> 00:42:40,239
Speaker 2: It's the one that like creates weird, trippy, very creepy

804
00:42:40,440 --> 00:42:42,600
Speaker 2: video clips like it's getting better.

805
00:42:42,719 --> 00:42:44,640
Speaker 1: See the new one the guy was eating ramen and

806
00:42:44,640 --> 00:42:45,680
Speaker 1: it looks better.

807
00:42:45,840 --> 00:42:48,359
Speaker 2: Yeah, yeah, yeah, hell yeah. They got the noodles down,

808
00:42:48,640 --> 00:42:52,200
Speaker 2: and it did that by ingesting like all of YouTube illegally,

809
00:42:52,680 --> 00:42:56,799
Speaker 2: Like they just took everything off YouTube and like put

810
00:42:56,840 --> 00:43:01,960
Speaker 2: it into this you know, generative engine, I mean allegedly.

811
00:43:02,960 --> 00:43:06,799
Speaker 1: Yeah, if you asked the chief technical officer of so

812
00:43:06,840 --> 00:43:07,280
Speaker 1: they asked.

813
00:43:07,400 --> 00:43:10,799
Speaker 2: Someone did ask the CTO of this company, and she

814
00:43:10,920 --> 00:43:15,960
Speaker 2: was like, huh, you know, I don't actually know. It's

815
00:43:16,200 --> 00:43:17,400
Speaker 2: an amazing.

816
00:43:17,400 --> 00:43:19,719
Speaker 1: Because like this journalist from the Wall Street Journal like

817
00:43:19,800 --> 00:43:22,520
Speaker 1: made a prompt like a mermaid thing with a crab

818
00:43:22,680 --> 00:43:26,120
Speaker 1: in it, but the crab literally had a mustache like

819
00:43:26,160 --> 00:43:29,520
Speaker 1: on SpongeBob. And she's like, hmm, I feel like this

820
00:43:29,600 --> 00:43:32,319
Speaker 1: isn't wholly original because I've seen a depiction of a

821
00:43:32,360 --> 00:43:35,680
Speaker 1: crab like this elsewhere. So that's what got her to

822
00:43:35,680 --> 00:43:36,839
Speaker 1: ask the question.

823
00:43:36,640 --> 00:43:38,799
Speaker 2: Claire, they're coming for your paycheck, you know.

824
00:43:39,600 --> 00:43:40,920
Speaker 3: At least by residuals.

825
00:43:41,080 --> 00:43:41,319
Speaker 2: Yeah.

826
00:43:41,320 --> 00:43:44,040
Speaker 1: Well here she is defending you know what, don't worry

827
00:43:44,040 --> 00:43:45,799
Speaker 1: because it's not I don't know if we did. Maybe

828
00:43:45,800 --> 00:43:46,839
Speaker 1: we did, I don't know what.

829
00:43:46,880 --> 00:43:48,080
Speaker 2: Data was used to train.

830
00:43:48,320 --> 00:43:53,640
Speaker 4: SOA, we used publicly available data and license data.

831
00:43:54,640 --> 00:43:58,600
Speaker 3: So videos on YouTube, look.

832
00:43:58,480 --> 00:44:01,839
Speaker 2: At that face she's making much I'm not sure about that.

833
00:44:02,120 --> 00:44:06,960
Speaker 1: Videos from Facebook, Instagram.

834
00:44:07,040 --> 00:44:12,719
Speaker 4: You know, if they were publicly available available, publicly available

835
00:44:12,800 --> 00:44:18,439
Speaker 4: to use, there might be the data. But I'm not sure.

836
00:44:18,560 --> 00:44:19,719
Speaker 4: I'm not confident about it.

837
00:44:19,840 --> 00:44:20,960
Speaker 3: What about Shutterstock?

838
00:44:21,000 --> 00:44:24,480
Speaker 1: I know you guys have a deal with them.

839
00:44:24,520 --> 00:44:26,360
Speaker 4: I'm just not going to go into the details of

840
00:44:26,680 --> 00:44:30,080
Speaker 4: the data that was those used. But it was publicly

841
00:44:30,120 --> 00:44:31,479
Speaker 4: available or licensed data.

842
00:44:31,880 --> 00:44:35,080
Speaker 1: Yeah, why the fuck am I on trial right now?

843
00:44:36,120 --> 00:44:36,279
Speaker 4: Well?

844
00:44:36,480 --> 00:44:39,239
Speaker 2: Was it? That's the most Why do they get the

845
00:44:39,239 --> 00:44:43,440
Speaker 2: most basic question about an AI think is like, there's

846
00:44:43,440 --> 00:44:46,680
Speaker 2: an input and then an output, and they're like, why

847
00:44:46,719 --> 00:44:49,719
Speaker 2: are you asking me about the input? Yeah, you're the CTO,

848
00:44:50,120 --> 00:44:50,759
Speaker 2: And you're like.

849
00:44:50,840 --> 00:44:56,960
Speaker 1: Ah, so, well don't you said videos on YouTube?

850
00:44:57,000 --> 00:44:58,280
Speaker 2: And her mouth really.

851
00:44:58,120 --> 00:45:03,800
Speaker 1: Went, yeah, you've been caught in a fucking four game.

852
00:45:04,120 --> 00:45:05,480
Speaker 5: Damn, what are you doing?

853
00:45:06,080 --> 00:45:06,279
Speaker 2: You know?

854
00:45:06,320 --> 00:45:08,720
Speaker 1: And then to end that with you know, I'm actually

855
00:45:08,719 --> 00:45:09,719
Speaker 1: not going to talk about this.

856
00:45:09,880 --> 00:45:13,560
Speaker 2: Wow, stellar defense. You know, I actually didn't even think

857
00:45:13,600 --> 00:45:16,719
Speaker 2: about that. Huh where does the video come from? I

858
00:45:16,840 --> 00:45:19,160
Speaker 2: just paid attention to, like what came out of it.

859
00:45:19,200 --> 00:45:22,000
Speaker 2: But yeah, you're right, there must be something going in

860
00:45:22,120 --> 00:45:25,120
Speaker 2: It's like you're the chief technical officer.

861
00:45:25,560 --> 00:45:28,720
Speaker 1: Yeah, yeah, they need a better they need better liars

862
00:45:28,719 --> 00:45:30,960
Speaker 1: in here. Like, it's so weird that she thought.

863
00:45:30,760 --> 00:45:34,040
Speaker 2: Just saying you didn't do it.

864
00:45:33,880 --> 00:45:36,360
Speaker 3: Bring back bring back the sharahos lady.

865
00:45:36,719 --> 00:45:40,680
Speaker 2: Right, are you not a powerful millionaire just lie and

866
00:45:40,719 --> 00:45:41,719
Speaker 2: say you didn't do it.

867
00:45:42,120 --> 00:45:44,480
Speaker 1: Don't you know how these grifts go. You gotta lie

868
00:45:44,640 --> 00:45:47,040
Speaker 1: all the way to the end until people going damn,

869
00:45:47,120 --> 00:45:48,200
Speaker 1: all that shit was a lie.

870
00:45:48,239 --> 00:45:50,479
Speaker 2: But I guess, I mean, maybe they are.

871
00:45:50,400 --> 00:45:52,040
Speaker 1: Making it easier for us to be a little more

872
00:45:52,040 --> 00:45:54,600
Speaker 1: discerning because when you do interviews like this, it just

873
00:45:54,680 --> 00:45:56,400
Speaker 1: makes them look so fucking bad.

874
00:45:57,280 --> 00:46:01,320
Speaker 2: So Ashton Kutcher was like, it's gonna gonna make footage

875
00:46:01,360 --> 00:46:04,080
Speaker 2: you could ease, you'll easily use in a major motion picture,

876
00:46:04,120 --> 00:46:07,480
Speaker 2: a television show like specifically, I think he was referencing

877
00:46:07,520 --> 00:46:11,440
Speaker 2: like establishing shots like outside. He's like, we're not gonna

878
00:46:11,440 --> 00:46:14,480
Speaker 2: need people to actually, we're not gonna need artists to

879
00:46:14,680 --> 00:46:18,160
Speaker 2: use that shit. I'm just gonna invent things. And that

880
00:46:18,280 --> 00:46:22,240
Speaker 2: does seem like a thing that it could do. Actually,

881
00:46:22,560 --> 00:46:27,120
Speaker 2: and that sucks. That's fucking terrible and instead of that

882
00:46:27,200 --> 00:46:29,520
Speaker 2: being terrible, He's like, no, this is the future what

883
00:46:29,680 --> 00:46:32,840
Speaker 2: you better get on board. But people are also pointing

884
00:46:32,840 --> 00:46:35,880
Speaker 2: out also I liked this Lene. Someone was like, yeah,

885
00:46:35,920 --> 00:46:38,000
Speaker 2: I think that Sara might be able to make an

886
00:46:38,040 --> 00:46:45,840
Speaker 2: Ashton Kutcher movie, but not like a necessarily a Sean O'Connor. Yeah.

887
00:46:46,080 --> 00:46:49,520
Speaker 2: And then so he defended himself on Twitter saying, Hollywood

888
00:46:49,520 --> 00:46:53,040
Speaker 2: ignoring this is just gonna like be catastrophic for everybody.

889
00:46:53,400 --> 00:46:56,560
Speaker 2: He's like, no, what the fuck are people who like

890
00:46:56,800 --> 00:46:59,760
Speaker 2: righte Like, what are the creatives like ninety eight percent

891
00:46:59,840 --> 00:47:02,040
Speaker 2: of the people in Hollywood? What the fuck are they

892
00:47:02,080 --> 00:47:05,520
Speaker 2: supposed to do with this? You know, this is just

893
00:47:05,600 --> 00:47:10,959
Speaker 2: a thing that matters to the like executives who are

894
00:47:11,200 --> 00:47:14,040
Speaker 2: trying to like cut the bottom line, like the people

895
00:47:14,040 --> 00:47:16,959
Speaker 2: that he hangs out with, Like what is the DP

896
00:47:17,239 --> 00:47:20,520
Speaker 2: who like does the establishing shots for a film? Like,

897
00:47:20,560 --> 00:47:22,640
Speaker 2: what the fuck is he supposed to do with this

898
00:47:22,800 --> 00:47:27,080
Speaker 2: information that Like, and you've been replaced by a fucking

899
00:47:27,280 --> 00:47:29,160
Speaker 2: AI software.

900
00:47:28,680 --> 00:47:30,640
Speaker 1: You should up your game. So a director wants you

901
00:47:30,680 --> 00:47:33,399
Speaker 1: to be the main director of photography and that's you're

902
00:47:33,440 --> 00:47:34,200
Speaker 1: not stuck there?

903
00:47:35,480 --> 00:47:37,960
Speaker 3: Yeah, Sep Earlier, this.

904
00:47:38,000 --> 00:47:40,200
Speaker 1: Fear monger ship where they're like, if they ignored, it's

905
00:47:40,239 --> 00:47:42,640
Speaker 1: going to be catastrophic, Like is that a threat? They're like,

906
00:47:42,680 --> 00:47:45,279
Speaker 1: because you know once AI comes, then they're gonna get

907
00:47:45,280 --> 00:47:48,160
Speaker 1: mad at you for ignoring it, or that it's gonna

908
00:47:48,200 --> 00:47:51,319
Speaker 1: somehow revolution. Like I get that they're trying to say

909
00:47:51,320 --> 00:47:53,839
Speaker 1: it's a tool, but then when they also say shit

910
00:47:53,960 --> 00:47:55,600
Speaker 1: like you know, jobs are going to change, we need

911
00:47:55,640 --> 00:47:57,680
Speaker 1: to be prepared, and you're not following that up with

912
00:47:57,800 --> 00:48:01,360
Speaker 1: something actually radical about the nature of work, then shut

913
00:48:01,400 --> 00:48:02,600
Speaker 1: the fuck up about this.

914
00:48:02,960 --> 00:48:05,640
Speaker 2: Well. So the thing that I think the bait and

915
00:48:05,680 --> 00:48:08,680
Speaker 2: switch they're trying to pull off the executive class here

916
00:48:09,000 --> 00:48:12,960
Speaker 2: is they're using somebody who is like nominally an actor,

917
00:48:13,440 --> 00:48:17,000
Speaker 2: who is actually like a media executive. He has a

918
00:48:17,120 --> 00:48:21,640
Speaker 2: venture capital firm, cool Sounder Ventures, your sound Adventures. Yeah,

919
00:48:21,719 --> 00:48:24,759
Speaker 2: he was able to start it in twenty fifteen when

920
00:48:24,880 --> 00:48:29,800
Speaker 2: with nothing more than his beautiful face, his business talents,

921
00:48:30,239 --> 00:48:33,839
Speaker 2: and one hundred million dollars from Liberty Media, oh which, oh, oh,

922
00:48:33,960 --> 00:48:38,799
Speaker 2: Libertal Group. So he's like a media investor and that's

923
00:48:38,800 --> 00:48:42,560
Speaker 2: where this is coming from. He's just trying to do

924
00:48:42,640 --> 00:48:45,320
Speaker 2: the work of being like, guys, this is nothing to fear.

925
00:48:45,600 --> 00:48:49,359
Speaker 2: This is the future, and it's gonna make sick shit.

926
00:48:50,040 --> 00:48:52,040
Speaker 1: Dude, Like you don't you don't have you don't even

927
00:48:52,080 --> 00:48:55,520
Speaker 1: have the discerning abilities to know that Danny Masterson was

928
00:48:55,560 --> 00:48:57,560
Speaker 1: a piece of shit for how the fuck am I

929
00:48:57,600 --> 00:49:00,640
Speaker 1: supposed to be? Like, yeah, dude, but what about this

930
00:49:00,760 --> 00:49:05,479
Speaker 1: technology stuff Pashton, Because like you said, he that Sound

931
00:49:05,560 --> 00:49:08,200
Speaker 1: Ventures has like a two hundred and forty million dollar

932
00:49:08,280 --> 00:49:11,480
Speaker 1: AI fund, so they're so they're so deep in on

933
00:49:11,600 --> 00:49:14,279
Speaker 1: this shit. And this is the thing, man, every time

934
00:49:14,360 --> 00:49:17,560
Speaker 1: Kutcher starts opening his mouth about technology, you have to

935
00:49:17,680 --> 00:49:19,840
Speaker 1: presume it's a grift. Because he was doing this with

936
00:49:19,880 --> 00:49:23,399
Speaker 1: crypto too, Like this isn't this is like his new thing,

937
00:49:23,520 --> 00:49:25,640
Speaker 1: like he likes to be like, oh man, these NFTs

938
00:49:25,640 --> 00:49:27,480
Speaker 1: are fucking sick man. They're gonna make this new show

939
00:49:27,520 --> 00:49:30,680
Speaker 1: called Stoner Cats, or like doing funny videos with like

940
00:49:30,680 --> 00:49:32,880
Speaker 1: the creator of like Ethereum and trying to make.

941
00:49:33,040 --> 00:49:34,840
Speaker 2: Like yeah, dude, we're just like out here just like

942
00:49:35,480 --> 00:49:37,279
Speaker 2: trying to figure out what this stuff is.

943
00:49:37,360 --> 00:49:39,960
Speaker 1: And he he made a donation to Ellen like a

944
00:49:40,080 --> 00:49:43,120
Speaker 1: charity that she was running like but as a crypto

945
00:49:43,200 --> 00:49:46,120
Speaker 1: donation to bring more eyeballs onto it. So everything he

946
00:49:46,239 --> 00:49:49,120
Speaker 1: does is about propping up his own investments.

947
00:49:49,520 --> 00:49:54,520
Speaker 2: Yeah, but it's yeah, I mean he's like all these

948
00:49:54,840 --> 00:49:58,800
Speaker 2: a lot of these famous people like get rich and famous,

949
00:49:58,880 --> 00:50:01,120
Speaker 2: and then the people that I hang out with our

950
00:50:02,280 --> 00:50:05,759
Speaker 2: other like media executives and like other millionaires, and so

951
00:50:05,840 --> 00:50:09,040
Speaker 2: they're just going to think all this shit is cool

952
00:50:09,080 --> 00:50:12,160
Speaker 2: and like think thoughts that like those people are putting

953
00:50:12,160 --> 00:50:12,720
Speaker 2: in their heads.

954
00:50:12,920 --> 00:50:15,799
Speaker 1: But yeah, I mean this is this This is the

955
00:50:15,840 --> 00:50:18,120
Speaker 1: thing that keeps going is like, you know, the New

956
00:50:18,200 --> 00:50:21,040
Speaker 1: York Times is embroiled in a lawsuit because they're like,

957
00:50:21,800 --> 00:50:24,680
Speaker 1: I'm pretty sure you're probably skimming our articles to train

958
00:50:24,760 --> 00:50:29,080
Speaker 1: some of this ship. Yeah, many industries are like no,

959
00:50:29,360 --> 00:50:32,040
Speaker 1: like you keep saying you're skimming the internet for like

960
00:50:32,120 --> 00:50:33,920
Speaker 1: to train these things, So how the fuck could it

961
00:50:34,040 --> 00:50:36,680
Speaker 1: not you You're you're constantly going like, oh, not that

962
00:50:36,680 --> 00:50:39,200
Speaker 1: that's copyright. And like the way that even that CTO

963
00:50:39,320 --> 00:50:43,120
Speaker 1: is like I believe it's publicly available, Like what do

964
00:50:43,120 --> 00:50:44,120
Speaker 1: you mean that you can.

965
00:50:44,000 --> 00:50:44,759
Speaker 2: Just access it?

966
00:50:44,880 --> 00:50:47,640
Speaker 1: Or they're saying that the licensing it's it's available for

967
00:50:47,760 --> 00:50:51,640
Speaker 1: any kind of use to the public, and it was available.

968
00:50:51,120 --> 00:50:53,200
Speaker 2: To me and that I just like went in and

969
00:50:53,440 --> 00:50:54,560
Speaker 2: fucking hacked that ship.

970
00:50:54,640 --> 00:50:58,200
Speaker 1: And yeah, I used YouTube downloader and got it off

971
00:50:58,239 --> 00:50:58,719
Speaker 1: the not me.

972
00:50:58,880 --> 00:51:01,480
Speaker 3: I can't I can't pay it past the paywall. I

973
00:51:01,520 --> 00:51:05,680
Speaker 3: only at the first four senses. I don't really know

974
00:51:05,680 --> 00:51:06,399
Speaker 3: what you guys are.

975
00:51:06,360 --> 00:51:08,200
Speaker 2: Talking about, but I get the gist.

976
00:51:08,280 --> 00:51:11,520
Speaker 3: I always try to get the GISTs. Yeah, I wonder

977
00:51:11,520 --> 00:51:14,000
Speaker 3: what will happen when this comes back to bite Ashton

978
00:51:14,080 --> 00:51:17,400
Speaker 3: in the in his sweet little ass and there's a

979
00:51:17,480 --> 00:51:19,920
Speaker 3: video that comes out of him, like fucking a pig's

980
00:51:19,920 --> 00:51:21,120
Speaker 3: head or something.

981
00:51:23,200 --> 00:51:24,000
Speaker 2: I generated.

982
00:51:24,280 --> 00:51:27,160
Speaker 3: Yeah, yeah, exactly, And then.

983
00:51:26,840 --> 00:51:30,520
Speaker 2: Issue and AI generated half hearted apology video in front

984
00:51:30,520 --> 00:51:36,360
Speaker 2: of the wooden wall. Yeah, with a wrinkle T shirt,

985
00:51:36,880 --> 00:51:39,040
Speaker 2: looking like he hasn't slept in a while.

986
00:51:39,520 --> 00:51:41,480
Speaker 3: I guess it's forever the circle.

987
00:51:42,000 --> 00:51:44,759
Speaker 2: Yeah. Do you think before that apology video they had

988
00:51:44,880 --> 00:51:47,880
Speaker 2: like a makeup, like a person come in and like

989
00:51:48,000 --> 00:51:49,600
Speaker 2: make them look disheveled.

990
00:51:50,760 --> 00:51:50,840
Speaker 4: No.

991
00:51:50,960 --> 00:51:53,719
Speaker 1: I think they're both actors enough that they I think

992
00:51:53,719 --> 00:51:56,600
Speaker 1: they're having enough savvy. Yeah, because they had like these

993
00:51:56,680 --> 00:51:59,160
Speaker 1: like poor poor us faces on.

994
00:51:59,520 --> 00:52:02,880
Speaker 2: They look you smell the bad, you know, because you're

995
00:52:02,920 --> 00:52:03,360
Speaker 2: so stress.

996
00:52:03,360 --> 00:52:04,799
Speaker 1: I mean that is a good point. Yeah, I mean,

997
00:52:04,840 --> 00:52:07,359
Speaker 1: like in a way I could smell the stress sweat, Yeah,

998
00:52:07,480 --> 00:52:09,360
Speaker 1: through the computer screen.

999
00:52:09,440 --> 00:52:11,520
Speaker 2: For that. I feel like, I feel like they have

1000
00:52:11,600 --> 00:52:14,040
Speaker 2: their hair and makeup person come through and be like,

1001
00:52:14,120 --> 00:52:16,240
Speaker 2: but like this time, like make us look like ship,

1002
00:52:16,440 --> 00:52:18,360
Speaker 2: like make it likely make us down.

1003
00:52:18,920 --> 00:52:21,720
Speaker 1: Okay, then I would say, I would say, you don't

1004
00:52:21,760 --> 00:52:23,560
Speaker 1: need me. If you want to look like shit, I

1005
00:52:23,600 --> 00:52:25,520
Speaker 1: would say, don't put any makeup.

1006
00:52:25,719 --> 00:52:29,040
Speaker 3: It's that no makeup, makeup. Look, Yeah, I'm doing it.

1007
00:52:29,239 --> 00:52:29,439
Speaker 2: Yeah.

1008
00:52:29,560 --> 00:52:31,440
Speaker 1: They're like hydrated.

1009
00:52:31,680 --> 00:52:35,800
Speaker 2: Yeah, yeah, Oh that's good. That's good. Dehydrated. I don't know.

1010
00:52:35,840 --> 00:52:38,040
Speaker 2: I'm not going to get dehydrated because that could totally

1011
00:52:38,120 --> 00:52:39,520
Speaker 2: fuck up levels.

1012
00:52:39,840 --> 00:52:42,319
Speaker 1: Yeah, but actually that reminds me I need to drink

1013
00:52:42,320 --> 00:52:43,640
Speaker 1: a gallon of alkaline water right now.

1014
00:52:43,960 --> 00:52:45,320
Speaker 2: Yeah, you bring it over, bring it over, bring it

1015
00:52:45,320 --> 00:52:47,040
Speaker 2: over now. And I'm fucking freaking out. I'm freaking out.

1016
00:52:48,880 --> 00:52:51,920
Speaker 2: Not always the best stories you hear behind the scenes

1017
00:52:51,960 --> 00:52:54,840
Speaker 2: about the ash Man, But that's all. That's all I

1018
00:52:54,920 --> 00:52:58,520
Speaker 2: say about that. The Tribeca Film Festival also getting in

1019
00:52:58,600 --> 00:53:02,440
Speaker 2: on the whole thing with some Sora shorts, which are

1020
00:53:02,480 --> 00:53:05,560
Speaker 2: short films created by chat GPT's like video thing.

1021
00:53:06,360 --> 00:53:09,120
Speaker 1: What a fucking slap in the face to people who

1022
00:53:09,280 --> 00:53:10,080
Speaker 1: actually want.

1023
00:53:09,880 --> 00:53:10,560
Speaker 2: To make filmmaker.

1024
00:53:11,239 --> 00:53:15,439
Speaker 1: Really, Yeah, so they're they're going to celebrate people who

1025
00:53:15,560 --> 00:53:18,040
Speaker 1: just typed a fucking prompt into it and being like,

1026
00:53:18,239 --> 00:53:18,840
Speaker 1: and that's.

1027
00:53:18,640 --> 00:53:20,000
Speaker 2: An art form two miles.

1028
00:53:20,120 --> 00:53:22,680
Speaker 1: Okay, no, it is fucking not.

1029
00:53:23,000 --> 00:53:26,560
Speaker 2: But yeah, oh they're all created by Sam Altman and

1030
00:53:26,640 --> 00:53:30,759
Speaker 2: he is a genius, I swear to god. But yeah.

1031
00:53:30,840 --> 00:53:34,160
Speaker 2: People were also pointing out similarly, like it it really

1032
00:53:34,320 --> 00:53:37,440
Speaker 2: always feels like you can just trace this bullshit back

1033
00:53:37,520 --> 00:53:40,440
Speaker 2: up to somebody who has hundreds of millions of dollars

1034
00:53:40,440 --> 00:53:43,800
Speaker 2: invested in this shit. In this case, Tribeca Film Festival

1035
00:53:44,000 --> 00:53:48,040
Speaker 2: is owned by Tribeca Enterprises, which is owned by Lupa Systems,

1036
00:53:48,320 --> 00:53:52,040
Speaker 2: the company run by Rupert Murdoch's son James, and Lupa

1037
00:53:52,120 --> 00:53:55,200
Speaker 2: Systems has multiple investments in AI companies, including one that

1038
00:53:55,239 --> 00:54:00,360
Speaker 2: produces generative music, which is my favorite genre of music.

1039
00:54:00,440 --> 00:54:04,720
Speaker 1: Yeah, generative, Yeah, because it will generate a fucking headache

1040
00:54:04,719 --> 00:54:06,879
Speaker 1: and crisis as you listen to it. Yeah, but yeah,

1041
00:54:06,920 --> 00:54:09,400
Speaker 1: I get yeah, everything, Like that's what's They make it

1042
00:54:09,440 --> 00:54:11,799
Speaker 1: so easy though, Like with these grifts, like you just

1043
00:54:11,800 --> 00:54:13,600
Speaker 1: have to do a little bit of digging and you're like,

1044
00:54:13,640 --> 00:54:15,560
Speaker 1: what's celebrity, where's their money?

1045
00:54:15,880 --> 00:54:20,240
Speaker 2: Who? With so much information that I feel like people

1046
00:54:20,239 --> 00:54:23,000
Speaker 2: who don't listen to this show. Yeah, and there are

1047
00:54:23,080 --> 00:54:25,920
Speaker 2: people like that still out there, folks, So talk to

1048
00:54:26,000 --> 00:54:28,680
Speaker 2: your friends and family. But you know, like I don't know,

1049
00:54:28,719 --> 00:54:31,319
Speaker 2: if I was just reading headlines, I'd be like, man,

1050
00:54:31,360 --> 00:54:34,480
Speaker 2: it seems like Hollywood's warming up to a you know

1051
00:54:34,480 --> 00:54:37,839
Speaker 2: what I mean, Like it's just easy when when the

1052
00:54:37,880 --> 00:54:40,440
Speaker 2: mainstream media is like kind of in on the grift.

1053
00:54:40,719 --> 00:54:43,080
Speaker 2: In this case, like with Crypto, they were at least

1054
00:54:43,120 --> 00:54:47,160
Speaker 2: like somewhat skeptical, but in this case it feels like

1055
00:54:47,960 --> 00:54:51,080
Speaker 2: the corporate overlords just have it so that they're like, hey,

1056
00:54:51,280 --> 00:54:54,440
Speaker 2: I wave of the future, right, yeah, and then they

1057
00:54:54,560 --> 00:54:57,240
Speaker 2: have like the stupid human trick of like chet GPT

1058
00:54:57,400 --> 00:55:01,400
Speaker 2: seeming to be alive by doing all to complete really well,

1059
00:55:01,840 --> 00:55:05,680
Speaker 2: and so that's enough to like get the momentum they need.

1060
00:55:05,880 --> 00:55:07,759
Speaker 2: But just keep it to tricks, man, Just keep it

1061
00:55:07,760 --> 00:55:10,080
Speaker 2: to fun party tricks. Stop saying it'll do it. That's

1062
00:55:10,120 --> 00:55:14,239
Speaker 2: all else. But yeah, you think it's fun party trick,

1063
00:55:14,320 --> 00:55:18,760
Speaker 2: Well you're gonna be a fun party trick of history

1064
00:55:18,920 --> 00:55:22,160
Speaker 2: because this is the future of Hollywood. I mean, we

1065
00:55:22,200 --> 00:55:25,920
Speaker 2: already know it's happened podcasts too, Like it's not people,

1066
00:55:26,000 --> 00:55:27,399
Speaker 2: are you like you know.

1067
00:55:27,600 --> 00:55:33,279
Speaker 7: That joke very well was written by a wait I

1068
00:55:33,400 --> 00:55:40,719
Speaker 7: wrote that special party trick of history.

1069
00:55:40,960 --> 00:55:44,000
Speaker 3: Are they doing that and podcasts ship?

1070
00:55:44,760 --> 00:55:48,200
Speaker 1: Yeah, there's there's a lot of like like the like

1071
00:55:48,280 --> 00:55:51,040
Speaker 1: trying to build voice models and things like that to

1072
00:55:51,080 --> 00:55:54,080
Speaker 1: be able to like automate stuff down the road, you know,

1073
00:55:54,160 --> 00:55:56,840
Speaker 1: like and that.

1074
00:55:56,840 --> 00:55:59,800
Speaker 2: I've been doing it for a while. That's like comedy

1075
00:55:59,800 --> 00:56:03,640
Speaker 2: podcast that's they claim as all AI, but it's actually

1076
00:56:04,120 --> 00:56:06,880
Speaker 2: made by two comedians and it seems like the comedians

1077
00:56:06,880 --> 00:56:07,880
Speaker 2: are actually writing it.

1078
00:56:08,280 --> 00:56:09,160
Speaker 3: That's kind of funny.

1079
00:56:09,480 --> 00:56:11,520
Speaker 1: Yeah, is that that one Will Sasso is involved?

1080
00:56:11,680 --> 00:56:13,560
Speaker 2: Yeah, I think Will Sasso is involved in it, and

1081
00:56:13,640 --> 00:56:16,200
Speaker 2: like it just seems like it's a bit. But there

1082
00:56:16,280 --> 00:56:19,920
Speaker 2: have been others that are like actually a I generated

1083
00:56:20,040 --> 00:56:23,960
Speaker 2: and I haven't seen them catch on yet, shockingly.

1084
00:56:24,080 --> 00:56:25,879
Speaker 1: No, because you can even like do you even see

1085
00:56:25,880 --> 00:56:28,280
Speaker 1: the AI videos that they have, like the AI voices

1086
00:56:28,320 --> 00:56:30,840
Speaker 1: you see a lot more on like uh social posts

1087
00:56:30,880 --> 00:56:33,600
Speaker 1: like or like TikTok ads or things like that, Like

1088
00:56:33,719 --> 00:56:36,640
Speaker 1: as they're they're basically cutting out like cheap voiceover actors

1089
00:56:36,680 --> 00:56:41,080
Speaker 1: by just having AI voice, like the voice to text.

1090
00:56:41,320 --> 00:56:43,759
Speaker 2: Yeah, yeah, it's so wanked.

1091
00:56:43,440 --> 00:56:45,480
Speaker 1: Like it does like these things that are you know,

1092
00:56:45,560 --> 00:56:47,839
Speaker 1: adds a few positives or things like that, but it's

1093
00:56:47,840 --> 00:56:49,359
Speaker 1: still to the human ear.

1094
00:56:49,400 --> 00:56:50,040
Speaker 2: You're like, is this.

1095
00:56:50,040 --> 00:56:52,799
Speaker 1: Person like like take a bunch of Valume and then

1096
00:56:52,840 --> 00:56:54,959
Speaker 1: a bunch of Oppers or something, and they're like they're

1097
00:56:55,040 --> 00:56:56,440
Speaker 1: completely cross wired here.

1098
00:56:56,920 --> 00:56:58,680
Speaker 2: It's very odd to listen to.

1099
00:56:58,800 --> 00:57:03,160
Speaker 3: But again, my hot take is that something worse than

1100
00:57:03,239 --> 00:57:07,200
Speaker 3: AI generated content like that are Have you ever seen

1101
00:57:07,239 --> 00:57:09,399
Speaker 3: an ad on Instagram where it's like a fake two

1102
00:57:09,520 --> 00:57:13,879
Speaker 3: people talking about a product on a fake podcast? Oh

1103
00:57:14,800 --> 00:57:18,240
Speaker 3: seemingly like, Oh, this person who created this product happened

1104
00:57:18,280 --> 00:57:20,680
Speaker 3: to be on a podcast talking about it and they

1105
00:57:20,760 --> 00:57:25,920
Speaker 3: filmed it, but it's clearly just for Instagram. Yeah, Like

1106
00:57:25,960 --> 00:57:29,480
Speaker 3: that's because that's a popular clip that looks like style. Yeah,

1107
00:57:29,800 --> 00:57:31,840
Speaker 3: interesting podcast.

1108
00:57:32,080 --> 00:57:34,600
Speaker 1: There's so many quote unquote podcasts that are also just

1109
00:57:34,640 --> 00:57:35,880
Speaker 1: like that, where like we just need to make like

1110
00:57:35,920 --> 00:57:38,040
Speaker 1: a two minute video in here, but let's just put

1111
00:57:38,120 --> 00:57:40,320
Speaker 1: mics in front of us with like a flat screen

1112
00:57:40,360 --> 00:57:42,120
Speaker 1: TV with a graphic and then.

1113
00:57:42,400 --> 00:57:45,720
Speaker 2: Crazy, Oh they're really talking about on that podcast or.

1114
00:57:45,720 --> 00:57:48,680
Speaker 3: That Rocket Money ad. Have you seen those Rocket Money

1115
00:57:48,680 --> 00:57:53,440
Speaker 3: ads where they're they're fake like stand up Pecklar clips

1116
00:57:53,960 --> 00:57:56,920
Speaker 3: where there's a stand up talking about like yeah, and

1117
00:57:56,960 --> 00:57:59,240
Speaker 3: you know when you have all these subscriptions and it's

1118
00:57:59,280 --> 00:58:03,720
Speaker 3: just crazy, right, and someone in the audience goes rocket money,

1119
00:58:04,360 --> 00:58:08,120
Speaker 3: and then the comic goes, oh, oh, that's exactly right,

1120
00:58:08,400 --> 00:58:11,640
Speaker 3: rock and like it's shot like a stand up clip.

1121
00:58:12,320 --> 00:58:16,320
Speaker 3: It's really freaky. They do it with like three different

1122
00:58:16,400 --> 00:58:17,520
Speaker 3: fake comedians.

1123
00:58:17,960 --> 00:58:19,040
Speaker 5: That's wild.

1124
00:58:19,400 --> 00:58:21,520
Speaker 3: I can't believe you haven't seen this yet. I don't

1125
00:58:21,600 --> 00:58:22,160
Speaker 3: got to see it.

1126
00:58:22,200 --> 00:58:23,959
Speaker 2: That's good. That's usually on Instagram.

1127
00:58:24,040 --> 00:58:27,080
Speaker 3: Maybe it's on my my algorithm specifically, but yeah, if

1128
00:58:27,080 --> 00:58:30,320
Speaker 3: you're heavy in the stand up clips, that's what you're saying.

1129
00:58:30,520 --> 00:58:33,080
Speaker 1: Love crowd work, dude, there's someone so cool about all

1130
00:58:33,080 --> 00:58:37,160
Speaker 1: these crowd work clips. I think that's the future of comedy.

1131
00:58:37,240 --> 00:58:39,200
Speaker 1: Just someone's talking to a bunch of people they don't know,

1132
00:58:39,320 --> 00:58:41,200
Speaker 1: not even doing material, and.

1133
00:58:41,160 --> 00:58:44,160
Speaker 2: The thing they're saying that they're brilliant obser vision, is

1134
00:58:44,200 --> 00:58:47,640
Speaker 2: just how good a product is. I love that app?

1135
00:58:48,000 --> 00:58:50,840
Speaker 2: Oh yeah, I love that app. We're all talking about

1136
00:58:50,880 --> 00:58:51,840
Speaker 2: it backstage.

1137
00:58:52,160 --> 00:58:55,800
Speaker 3: This coca cola tastes good and there's no calories.

1138
00:58:56,560 --> 00:58:58,480
Speaker 2: And that's what I like about the crowd work is

1139
00:58:58,560 --> 00:59:01,600
Speaker 2: just the exchange of ideas is about how what apps

1140
00:59:01,600 --> 00:59:02,000
Speaker 2: are cool.

1141
00:59:04,480 --> 00:59:05,760
Speaker 3: Wow, unbelievable.

1142
00:59:06,000 --> 00:59:11,320
Speaker 2: Unbelievable, Claire Okaine, unbelievable having you on the show. It

1143
00:59:11,440 --> 00:59:14,920
Speaker 2: was great having you. Also written by AI. Can people

1144
00:59:15,320 --> 00:59:17,960
Speaker 2: find you, follow you all that good stuff.

1145
00:59:18,440 --> 00:59:21,120
Speaker 3: You can go to Claarocaine dot com for all your

1146
00:59:21,120 --> 00:59:24,800
Speaker 3: claar Ocaine needs. You know, I got shows coming up,

1147
00:59:24,840 --> 00:59:27,680
Speaker 3: but I do actively have COVID right now, so I

1148
00:59:29,520 --> 00:59:34,040
Speaker 3: think I'm going to cancel tonight's show. But check out

1149
00:59:34,040 --> 00:59:37,840
Speaker 3: my calendar. I'd be I'll be good. I'll be ready

1150
00:59:38,520 --> 00:59:41,440
Speaker 3: for some shows in the future. And yeah, I'm all

1151
00:59:41,440 --> 00:59:43,480
Speaker 3: over the place. I got this new album Everything I

1152
00:59:43,520 --> 00:59:46,600
Speaker 3: Know How To Do. It's very good, all over the place.

1153
00:59:46,680 --> 00:59:50,320
Speaker 2: Thank you. Go check it out, check it out? By

1154
00:59:50,400 --> 00:59:52,880
Speaker 2: it God damn it. Is there a work of media

1155
00:59:53,040 --> 00:59:53,960
Speaker 2: that you've been enjoying.

1156
00:59:54,600 --> 00:59:58,479
Speaker 3: I am obsessed with this. I'll call call it media.

1157
00:59:58,600 --> 01:00:05,560
Speaker 3: This account called crisis acting. Do you guys know about chrisis.

1158
01:00:04,800 --> 01:00:06,240
Speaker 2: I know about crisis Actors.

1159
01:00:06,240 --> 01:00:12,480
Speaker 3: I don't know about this Instagram They're basically like every

1160
01:00:12,640 --> 01:00:15,520
Speaker 3: post is a ten or so different clips sort of

1161
01:00:15,600 --> 01:00:20,120
Speaker 3: just random moments from videos taken from the Internet or

1162
01:00:20,160 --> 01:00:24,600
Speaker 3: Instagram without context. So sometimes it'll be like, you know,

1163
01:00:25,040 --> 01:00:28,240
Speaker 3: a guy blowing something up in the middle of the

1164
01:00:28,280 --> 01:00:30,920
Speaker 3: desert and all his friends going like yeah. Then you

1165
01:00:31,360 --> 01:00:33,040
Speaker 3: go to the next one, and then it's like some

1166
01:00:33,080 --> 01:00:36,320
Speaker 3: sort of Eastern European ritualistic dance that you don't really

1167
01:00:36,360 --> 01:00:38,600
Speaker 3: know what's going on. Then you swipe to the next one,

1168
01:00:38,680 --> 01:00:42,160
Speaker 3: and then it's like a little kid playing basketball and

1169
01:00:42,280 --> 01:00:44,520
Speaker 3: a kid like kick clipping for the first time next

1170
01:00:44,560 --> 01:00:47,280
Speaker 3: to him. It's just like all these little moments that

1171
01:00:47,560 --> 01:00:52,120
Speaker 3: sort of remind you of your humanity in the world's humanity,

1172
01:00:52,640 --> 01:00:56,160
Speaker 3: but without context, and just like these weird things like

1173
01:00:56,720 --> 01:00:59,360
Speaker 3: lightning storms, just like everything that could happen in the

1174
01:00:59,400 --> 01:01:02,480
Speaker 3: world that curated in.

1175
01:01:02,440 --> 01:01:05,680
Speaker 2: These curated good clips, right, curated.

1176
01:01:05,320 --> 01:01:10,200
Speaker 3: Good interesting sometimes like beautifully shot clips by normal Ask

1177
01:01:10,240 --> 01:01:13,280
Speaker 3: people from around the world. That's crisis acting.

1178
01:01:13,800 --> 01:01:18,000
Speaker 2: Love it. That's on Instagram. It's on Instagram, the app

1179
01:01:18,720 --> 01:01:21,960
Speaker 2: so Instagram, the app. Hey have you you know how

1180
01:01:22,000 --> 01:01:26,560
Speaker 2: you can't find videos anywhere these days? Instagram? That's right,

1181
01:01:26,800 --> 01:01:33,640
Speaker 2: that's what I'm talking about. Proud Miles. Where can people

1182
01:01:33,720 --> 01:01:36,280
Speaker 2: find you? Is there work of media you've been enjoying?

1183
01:01:36,800 --> 01:01:36,960
Speaker 4: Uh?

1184
01:01:37,080 --> 01:01:41,120
Speaker 1: Yeah, find me on the Instagram, the Twitter at Miles

1185
01:01:41,160 --> 01:01:43,280
Speaker 1: of Gray. Find Jacket on the Back of Ball podcast

1186
01:01:43,280 --> 01:01:46,040
Speaker 1: Miles and Jack Mosty's like I said, I listened to

1187
01:01:46,160 --> 01:01:48,200
Speaker 1: I watched ninety Day Fiance, but you can listen to

1188
01:01:48,240 --> 01:01:50,840
Speaker 1: me talk about ninety day Fiance on four to twenty

1189
01:01:50,920 --> 01:01:55,400
Speaker 1: Day Fiance with Sofia Alexandra A tweet I like, I'm

1190
01:01:55,400 --> 01:02:00,680
Speaker 1: still on that Shams tweet about kristavs zingis so this

1191
01:02:00,720 --> 01:02:04,000
Speaker 1: one now is from Kyle at Kyle A Madsen. It

1192
01:02:04,080 --> 01:02:06,160
Speaker 1: said need to hear E forty say this tweet out

1193
01:02:06,200 --> 01:02:08,880
Speaker 1: loud and it said Celtic Trista Brazil is over to

1194
01:02:08,880 --> 01:02:11,360
Speaker 1: tour media written this you will allow this location?

1195
01:02:13,760 --> 01:02:14,040
Speaker 2: Uh?

1196
01:02:14,080 --> 01:02:17,480
Speaker 1: And yeah, it's it's it's it's so malleable that tweet.

1197
01:02:17,560 --> 01:02:19,960
Speaker 1: So thank you for putting e forty fons really in

1198
01:02:20,040 --> 01:02:23,120
Speaker 1: my brain. Yeah yeah I too, I had too, So

1199
01:02:23,240 --> 01:02:23,959
Speaker 1: yeah that's mine.

1200
01:02:24,600 --> 01:02:27,520
Speaker 2: Uh, Twitter, I've been enjoying Shane five hundred and fifty

1201
01:02:27,520 --> 01:02:31,360
Speaker 2: five days until Avatar three at the Monkey Jungle on

1202
01:02:31,400 --> 01:02:34,560
Speaker 2: Twitter tweeted showing up two hours late to work with

1203
01:02:34,680 --> 01:02:42,440
Speaker 2: tiger face paint from the Zoo. Good. You can find

1204
01:02:42,800 --> 01:02:45,840
Speaker 2: me on Twitter at Jack Underscore O'Brien. You can find

1205
01:02:45,920 --> 01:02:48,800
Speaker 2: us on Twitter at Daily Zeitgeist We're at the Daily

1206
01:02:48,880 --> 01:02:51,320
Speaker 2: Zeikeeist on Instagram. We have a Facebook fan page on

1207
01:02:51,360 --> 01:02:53,920
Speaker 2: a website, Daily zeikeist dot com where we post our

1208
01:02:53,960 --> 01:02:56,880
Speaker 2: episodes and our footnote. We link off to the information

1209
01:02:56,920 --> 01:02:59,000
Speaker 2: that we talked about in today's episode, as well as

1210
01:02:59,000 --> 01:03:01,920
Speaker 2: a song that we think you might enjoy. Miles, what

1211
01:03:02,040 --> 01:03:03,840
Speaker 2: song do you think people might enjoy?

1212
01:03:04,000 --> 01:03:07,840
Speaker 1: This comes from like a singer drummer producer named Diella

1213
01:03:08,000 --> 01:03:10,560
Speaker 1: d A I E l A. And this is like

1214
01:03:10,560 --> 01:03:13,919
Speaker 1: a really kind of futuristic drum end bassed pop track

1215
01:03:14,040 --> 01:03:17,040
Speaker 1: that she made. It's called hyper die hyper d A

1216
01:03:17,240 --> 01:03:20,439
Speaker 1: I Uh And it's just like it's just it's got

1217
01:03:20,560 --> 01:03:22,640
Speaker 1: her vocals are really cool and layered on it and

1218
01:03:22,640 --> 01:03:23,640
Speaker 1: the production is really cool.

1219
01:03:23,640 --> 01:03:27,400
Speaker 2: So check this one out. Diella with hyper Dye. We

1220
01:03:27,480 --> 01:03:29,920
Speaker 2: will link off to that in the footnote for Dall

1221
01:03:29,960 --> 01:03:31,720
Speaker 2: these guys as a production of My Heart Radio. For

1222
01:03:31,800 --> 01:03:33,760
Speaker 2: more podcasts from My Heart Radio, visit the iHeart Radio

1223
01:03:33,800 --> 01:03:36,680
Speaker 2: ap Apple podcast wherever you listen to your favorite shows.

1224
01:03:36,680 --> 01:03:39,080
Speaker 2: That's gonna do it for us this morning. We are

1225
01:03:39,120 --> 01:03:41,680
Speaker 2: back this afternoon to tell you what's trending though, and

1226
01:03:41,760 --> 01:03:43,439
Speaker 2: we'll talk to you all then Fight Fight