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Speaker 1: Hello the Internet, and welcome to season three thirty four,

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Speaker 1: Episode four of Dirt Daily. Guys. Yeah, that's a production

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Speaker 1: b iHeartRadio. This is a podcast where we take a

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Speaker 1: deep dive into America share consciousness. And it is Thursday,

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Speaker 1: April eighteenth, twenty twenty four. Yeah, hey man, yeah, hey, okay,

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Speaker 1: I got it right.

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Speaker 2: Today it's National Exercise Day is get to Know your

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Speaker 2: Customer's Day, third Thursday of each quarter. Actually, according to

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Speaker 2: this Business Association, National Education and Sharing Day, National Hey

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Speaker 2: shout out animal crackers. You know, I'm fuck with the animals.

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Speaker 2: Crack National high five Day, National Poem in your Pocket Day,

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Speaker 2: National column this day, unless you're writing some weird ass

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Speaker 2: status quo. Support Ship and National Alignment Appreciation Day, shout

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Speaker 2: out to the people that keep the electricity flowing so

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Speaker 2: we can deliver such digital goods as this.

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Speaker 1: What was the poeming or pocket thing?

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Speaker 2: Yeah?

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Speaker 3: What is?

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Speaker 2: I don't know, man, It's a National Poem in your

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Speaker 2: Pocket Day?

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Speaker 4: All right, you got a poem in your pocket or you?

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Speaker 2: Yeah? Are you just really depressed?

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Speaker 1: It just sounds like for someone to start a really

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Speaker 1: annoying conversation.

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Speaker 2: Yeah, yeah, yeah, it's a shares the way poetry brings

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Speaker 2: joy simply by carrying one in your pocket. When you

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Speaker 2: share the poem, you'll bring joy to others.

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Speaker 4: Just by carrying it. You don't even have to read it.

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Speaker 2: I think maybe because, like to Jack's point, maybe it's

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Speaker 2: like a bad conversation starting. But hey, you know what

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Speaker 2: I got in my pocket?

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Speaker 1: Oh hey, happy poem in your pocket?

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Speaker 2: Then if you're not doing the thing from it from

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Speaker 2: Black Sheep or David Spaders like, hey, I got some

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Speaker 2: in my pocket here for you. Hold on, let me

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Speaker 2: get it. And you just give them the fucking finger

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Speaker 2: in your pocket and it goes fuck you like this.

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Speaker 4: Yeah, well that's no way to treat Robert Frost.

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Speaker 1: No, you could start small fire in your mama's panties.

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Speaker 2: Exactly, young man, I will rip your head off and

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Speaker 2: spike it onto the floors of a nightmare. You couldn't

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Speaker 2: imagine a lot of good ones us.

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Speaker 1: Lines from Black Sheep, Wow, shout out to that man.

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Speaker 4: My name am she I Sorry, I'm sorry. I suddenly

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Speaker 4: am like thirteen years old, because that's when I knew

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Speaker 4: all of the lines to them.

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Speaker 1: Yeah, I think I only saw that one once.

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Speaker 2: Sorry to break like She.

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Speaker 4: Follow up to Tommy Boy, Tommy Boys the one.

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Speaker 2: Yeah, Tommy Boy was the one that was.

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Speaker 4: That I actually was.

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Speaker 1: Yeah, we're still thirteen at heart. Thank you for being

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Speaker 1: on with us.

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Speaker 2: I know. My doctor just said I had the heart

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Speaker 2: of a thirteen year old. That's really good. That's a condition. Well,

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Speaker 2: I guess for the size of my body. Maybe not.

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Speaker 4: Were you going to him about like pre ejaculation or something.

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Speaker 1: Yeah, can't stop these damn wet dreams, these we dreams, sir.

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Speaker 1: It happened when I'm date dreaming us.

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Speaker 4: Christ Well, you've got the heart of a thirteen year old.

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Speaker 1: Yeah, a thirteen year old who huffs glue.

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Speaker 2: Yeah, yeah. Anyway, anyways, my name is Jack O'Brien.

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Speaker 1: Akay, once upon a time he talks so fine through

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Speaker 1: the bums of dime Jack O'Brien.

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Speaker 2: Didn't you.

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Speaker 1: That is a courtesy of Panoramic View on the discord

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Speaker 1: Love a Panoramic View, AKA that just plugs plugs our

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Speaker 1: name in to one line. But also I'm just getting

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Speaker 1: I'm getting psyched to see uh Chalo may Dylan. I

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Speaker 1: think it's that era, you know, when Bob Dylan, What

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Speaker 1: if Bob Dylan always looked like a little boy and not.

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Speaker 2: Just for like the first time thirteen year old.

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Speaker 4: Yea, yeah, speaking of I completely did.

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Speaker 1: Yeah you're a fan.

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Speaker 4: Okay, maybe I'll save that, I'll say it.

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Speaker 1: Okay, yeah, I'll have that ferted. Although I can't I

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Speaker 1: can't get over him being looking like a little boy.

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Speaker 1: I do wonder will he always look like a little boy.

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Speaker 1: There's been a couple There's Doom two and I just

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Speaker 1: watched Don't Look Up, and in both films I was like,

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Speaker 1: I can't get over the fact that this is a

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Speaker 1: child like he looks eleven years old and is supposed

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Speaker 1: to be like the love interest.

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Speaker 4: Of thinks on what you go for?

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Speaker 2: Yeah, yeah, you know both ways.

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Speaker 1: I'm thrilled to be joined, as always by my co

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Speaker 1: host mister Miles Gray.

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Speaker 2: Miles Gray, still jetlag but here holding down aka.

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Speaker 5: Crawling out of the earth. Circado's got so messy it is.

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Speaker 5: The prime is here and the time is right for

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Speaker 5: fucking in the streets.

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Speaker 2: All right, shout out again anoramic view. Great to have

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Speaker 2: you in the trees. The same with the prolific pace.

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Speaker 2: Shout out, yeah, got it man. The cicadas can't wait

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Speaker 2: till they cause zombie fuck Mgeddon.

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Speaker 1: Yeah. I don't think it's happening in La, so it's

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Speaker 1: like gang from other parts of from Sicata, Cicada, Nash. Yeah,

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Speaker 1: let us know when it hits Miles. We are thrilled,

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Speaker 1: blessed to be joined in our third by a brilliant comedian, writer, journalist,

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Speaker 1: activist you know from places like Al Jazeera, MSNBC, the

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Speaker 1: Young Turks from the podcast Habituation Room, Yeah, and Piers Morgan.

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Speaker 1: It's branches. I don't have a song.

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Speaker 4: I'm tired of singing. I sing all day long to

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Speaker 4: my kid, who just wants me to do different versions.

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Speaker 4: And then like every every time I try to sing

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Speaker 4: and she doesn't like that, she's like no, like fuck

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Speaker 4: it thing, and then I have to do that. I

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Speaker 4: have to guess which song she likes.

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Speaker 1: Yeah, but she's The kids are assholes, man, they're adorable assholes.

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Speaker 1: My kids have been roasting me for being in love

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Speaker 1: with my wife.

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Speaker 6: You love mommy? Oh my god, do you love mommy

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Speaker 6: so much? That's so funny human, Like, no, I do.

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Speaker 6: That's what I That's how I play it. I play

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Speaker 6: it like.

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Speaker 1: And like embarrassed about you rush that they just found

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Speaker 1: out about you love mommy, like I know I want

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Speaker 1: to kiss her.

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Speaker 2: Yeah, I'll be like, oh, okay, experiment do you want

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Speaker 2: to do you want to live in a house where

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Speaker 2: I don't love mommy because that the vibes will shifty

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Speaker 2: when you bring.

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Speaker 1: Your friend's parents over and we'll talk to them. Yeah,

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Speaker 1: but your daughter is a beautiful creature. What wonderful? You

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Speaker 1: know the word to be? It's weird singing singing to her?

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Speaker 4: Yeah, No, she's she's adorable. And yeah, she when she

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Speaker 4: wants me to sink, she'll move her head like that,

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Speaker 4: like come on.

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Speaker 2: To something. Yeah. And so tall, she's like six three already.

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Speaker 4: She is incredibly tall. She's two year old tall, she's

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Speaker 4: eighteen months.

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Speaker 2: But we were just hanging out her master and I

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Speaker 2: was just hanging out with man. Francs Yo. Who's Who's

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Speaker 2: that Francesca's older sister.

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Speaker 1: That's the baby day Okay?

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Speaker 2: All right, Oh my god, I don't know where the

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Speaker 2: I don't know where the height genes come from.

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Speaker 1: Yeah, amazing. All right, Francesca, we aren't gonna get to

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Speaker 1: know you a little bit better in a moment. First,

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Speaker 1: we're gonna tell our listeners a couple of the things

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Speaker 1: that we're talking about, we're gonna talk about just more

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Speaker 1: things we're learning. So we've already learned that Donald Trump

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Speaker 1: is not sleeping well at night from his first two

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Speaker 1: days of criminal trial, the guy running for presidents on

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Speaker 1: criminal trial. We've also learned a new piece of information

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Speaker 1: that he has an emotional support aid who carries around

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Speaker 1: a printer. And this is truly, this is like he's

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Speaker 1: really exploring the studio space of like being a dictator.

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Speaker 1: Like this feels, you know, like he's really.

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Speaker 2: You hear about it?

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Speaker 1: Yeah, yeah, exactly.

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Speaker 4: I get it. If it was like like someone who

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Speaker 4: just holds a leg a proshudo that I could just

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Speaker 4: sort of eat off of, like that's more king, like.

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Speaker 2: Yeah, yeah yeah, but a printer. Yeah, well, we'll.

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Speaker 1: Talk about why what's being printed. We're gonna talk about

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Speaker 1: NPR is apparently two woke, yell yeah, dude, that's their

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Speaker 1: main problem, just two woke. So talk about that. We'll

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Speaker 1: talk about streamings out. It's all about fast now as

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Speaker 1: fast as an acronym, and what the fuck is anyone

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Speaker 1: even talking about? At this point, we might even get

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Speaker 1: to the miss Ai beauty pageant, a true sign that

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Speaker 1: the world has come doing in all of that plenty more.

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Speaker 1: But first, Francesca, we do like to ask our guests,

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Speaker 1: what is something from your search history that is revealing

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Speaker 1: about who you are? I just had it.

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Speaker 4: I got so okay, I look up My search history

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Speaker 4: is basically how many Palestinians have been murdered by Israel,

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Speaker 4: like running toll.

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Speaker 1: And or.

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Speaker 4: Indoor jungle gyms for baby, like Visa. It's just that

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Speaker 4: so recently, I'm trying to take baby to get close

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Speaker 4: to animals, and so I'm looking up animal sanctuaries or

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Speaker 4: petting zoos. But I don't want it to be like

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Speaker 4: the sad Halloween hay ride petting zoo where the animals

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Speaker 4: are like overheated, and You're like, I think I need

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Speaker 4: to call somebody.

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Speaker 2: On the yeah.

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Speaker 4: And so I'm like trying to find like a cute

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Speaker 4: little outing where she can interact with bunnies and animals.

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Speaker 4: And it's in the irony that is raising a child

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Speaker 4: in an era of the sixth mass extinction, and you realize,

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Speaker 4: like we educate kids so much more on like animals

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Speaker 4: than we do on humans, Like humans are boring animals. Hey,

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Speaker 4: they make sounds, you know, all these different sounds no

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Speaker 4: human goes by. Yeah, so that's what I've been looking at.

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Speaker 1: They are really interesting animals. Like I feel like I

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Speaker 1: got a new appreciation for how interesting animals are when

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Speaker 1: I had kids and like saw animals again with fresh

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Speaker 1: eyes through their eyes, you know.

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Speaker 2: Yeah. Oh yeah, I saw flamingo the other day and

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Speaker 2: I tripped out, yeah, just to show my flamingo. And

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Speaker 2: then I'm like, what the fuck does this stand on

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Speaker 2: one And then I started answering my own questions like

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Speaker 2: with that, Yeah, they're interesting.

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Speaker 1: Do I do this stand on one leg?

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Speaker 2: Energy?

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Speaker 1: Conserve energy?

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Speaker 2: Oh?

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Speaker 1: Because they're so light, that's just crazy. Like birds are

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Speaker 1: made of like straw bones. Yeah, yeah, yeah, that's what

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Speaker 1: we should be using to replace the straws.

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Speaker 2: I just may not to be honest, I just made

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Speaker 2: that up. If that's true.

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Speaker 1: Conserve energy.

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Speaker 2: Yeah, maybe they're day warm or maybe because it's just comfortable.

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Speaker 2: That is the least satisfying answer from Smithsonian Magazine.

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Speaker 1: Maybe you shouldn't ask so many questions.

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Speaker 4: Yeah, maybe you should fuck up enjoy the birds.

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Speaker 1: Yeah, but they're there's just like other like people out there,

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Speaker 1: the different species and like but have personalities and like

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Speaker 1: like to play and ship.

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Speaker 4: It's so weird to see like a bunny and be like, oh,

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Speaker 4: bunnies are not cuddly at all. They are like the

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Speaker 4: least cuddly. They're so soft, and yet they do not

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Speaker 4: want to be touched or held.

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Speaker 2: That's the beginning, Like, that's when a child loses their

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Speaker 2: innocence when you like the cuddly things you see and

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Speaker 2: you're like, dude, that was the hardest fucking thing to

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Speaker 2: even approach to pet man.

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Speaker 1: Yeah.

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Speaker 4: Then I was thinking about it, and this is crazy,

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Speaker 4: but I think all animals have different personalities. And I

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Speaker 4: know when I say animals, people like, yeah, my dog

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Speaker 4: is personality, my.

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Speaker 2: Cat, but that species every yeah, yeah yeah.

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Speaker 4: Different bunnies of different personalities, different birds of different personalities.

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Speaker 4: They're all different.

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Speaker 2: Yeah, look at us, look at us.

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Speaker 1: Just such a turn into such an old bird. Guy.

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Speaker 1: I'm just like like in my backyard this morning and

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Speaker 1: like a goose overhead and I was just like a goose,

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Speaker 1: damn goose, and like yeah, I like heard a goose

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Speaker 1: like fly overhead and was like doing the I love that,

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Speaker 1: you know, and I was just like, damn, there they go.

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Speaker 4: You sip your coffee sip my coffee, flyve free my friend.

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Speaker 1: What's something you think is under in Francesca.

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Speaker 4: The new Shakira album. I don't know anyone's had a

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Speaker 4: chance to hear it. I love it Las monerez yao yoran,

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Speaker 4: and it's not in There's no English songs, so it's great.

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Speaker 4: I do not like Shakira singing in English. There's very

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Speaker 4: limited yallo.

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Speaker 2: There is there that the trademark throat, you know, sort

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Speaker 2: of Shakiri that's how she.

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Speaker 4: Sings, but isn't there's not a lot of like leaning

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Speaker 4: into the yallow. Apparently now she's like a little embarrassed

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Speaker 4: about it. But it's really good. There's there's some tracks

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Speaker 4: that are like a little too heavy riggaeton two Carol G.

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Speaker 4: I like Carol G, but I'm like, I don't need

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Speaker 4: Shakira to be Carol G. And I love like some

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Speaker 4: of the tracks that are just classic pop like Latino pop,

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Speaker 4: pop rock, Latino or pop whatever the hell you know

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Speaker 4: what I'm saying.

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Speaker 1: Yeah, it's so good.

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Speaker 4: It's a really really good album.

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Speaker 2: Okay, yeah, I like it. What's that was it? The

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Speaker 2: album mean was like women who don't.

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Speaker 4: Cry, Women no longer cry, women no longer cry and

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Speaker 4: the song with Carol g is called t QG, which

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Speaker 4: means and in the world, like if you're saying that

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Speaker 4: to a man like the Geloan, it means like, I'm

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Speaker 4: too big for you, you know, just like as a

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Speaker 4: person as of this relationship, like you've got a ceiling,

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Speaker 4: I'm bigger than you. But also probably my vagina is huge.

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Speaker 4: Giants g, I'm too big for you. But I love that,

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Speaker 4: like and so to say that to Piku, which is

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Speaker 4: all a little bit shade on Pique, which we all

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Speaker 4: knew that Pik was like not first of all, not

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Speaker 4: that hot and like really Sakira, okay that long anyway.

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Speaker 2: I mean that's the time, you know, because Barcelona was

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Speaker 2: doing Soccer Star. Yes, yeah, he's a Spanish defender, but yeah,

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Speaker 2: like at the time because Barcelo, it was like at

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Speaker 2: the heyday of Barcelona doing so well, it was like damn,

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Speaker 2: he was like no, he can't lose. And then you

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Speaker 2: heard all those stories about how like his dad was

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Speaker 2: like kicking them out of the house and ship like

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Speaker 2: when they were starting to separate, You're like, yo, they.

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Speaker 1: Were like trying to make me out in the basement

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Speaker 1: and the dad was like get out of here.

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Speaker 2: No. It was like, oh, you want to divorce my son,

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Speaker 2: get you and my grandkids? Fucking beat it? Oh okay, yeah, sir.

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Speaker 4: Yeah, Tempo siverte, tempo seeing verte. Look that up, listen

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Speaker 4: to it.

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Speaker 1: It's good.

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Speaker 2: It's really good.

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Speaker 1: Okay. I like time without green, of course, you know,

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Speaker 1: and I always say that time. Yeah, I'm probably mis

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Speaker 1: pronouncing that.

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Speaker 4: I do love not verday, not seeing Verde, see Verde

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Speaker 4: without seeing kay, okay, time without.

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Speaker 1: Seeing you, and time without seeing it was also something

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Speaker 1: I say, all the team, all the team, what is

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Speaker 1: something you think is overrated?

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Speaker 4: I feel like Matt Leib's probably done this one before.

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Speaker 4: I just asked them if he had. But I do

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Speaker 4: think the state of Israel, oh, at this point, this

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Speaker 4: point on it a little overrated. I mean, has every

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Speaker 4: right to exist, but in its current iteration, in this

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Speaker 4: current form, that's so good. No, not so good. Not

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Speaker 4: really a democracy when you are deliberately controlling the population

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Speaker 4: to demographically give Jews a majority, not a not a

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Speaker 4: democracy in that case. If you're occupying different territories and

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Speaker 4: you're subjecting people to apartheid and you can't drive on

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Speaker 4: the same roads as you and whatnot. So yeah, it's uh,

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Speaker 4: it's I saw this the other day apparently, of course,

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Speaker 4: because everything is anti semitic if you criticize Israel, but

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Speaker 4: we need to make Israel was real, and I was like,

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Speaker 4: that's the realest thing I ever heard. Making Israel was real.

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Speaker 4: Now Israel can stay the same, it could be the

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Speaker 4: same name. But I do think there needs to be

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Speaker 4: full citizenships or Palestinians, and I believe in a one

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Speaker 4: state solution. I think that is just physically the only

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Speaker 4: thing that's possible now, and I think it's the safest.

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Speaker 4: I think everyone needs to be together, working for the

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Speaker 4: same thing, living in existing. Basically, I'm a coexist bumper

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Speaker 4: sticker on a little beetle.

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Speaker 2: Right. Yeah, it's interesting to see like like op eds

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Speaker 2: come out of the Atlantic that are sort of like,

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Speaker 2: we need peace in Israel, and it's like if people

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Speaker 2: can drop there's zero some game approach to this. I'm like,

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Speaker 2: is this Israel included? Right? Because I see it like

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Speaker 2: there's so much of it. Yeah, that is so like,

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Speaker 2: especially the way the news is described here, it sort

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Speaker 2: of makes it be like yeah, and then Hamas just

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Speaker 2: basically said they don't want anything to do with like

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Speaker 2: any kind of ceasefire. Or is it that they're trying

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Speaker 2: to actually say, these are the terms in which we

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Speaker 2: need to agree on. And because you know Israel is

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Speaker 2: very rigid and they're negotiating, I guess it's not even negotiating.

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Speaker 2: It's just more like, no, this is this is.

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Speaker 4: Exactly you give all the hostages. Oh no, we're gonna

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Speaker 4: keep killing. We're gonna bomb a playground which they just

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Speaker 4: did the other day and kill the eleven kids. I mean,

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Speaker 4: it's totally it's untenable. It's untenable for Israelis, it's obviously

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Speaker 4: untenable for Palestinians. But yeah, I love the like there's

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Speaker 4: more we're gonna talk about in PR but I love

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Speaker 4: that there's more nuance here.

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Speaker 1: Right?

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Speaker 4: What is can we can we stop being so yeah,

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Speaker 4: uh draconian or beholden to our belief like no, man,

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Speaker 4: you could stop the occupation is what's to happen.

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Speaker 2: Also strikes me it's so odd when I see people

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Speaker 2: who I'm like, how do you I mean, like you

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Speaker 2: do look at the internet right, like or do you

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Speaker 2: avoid any footage of what has happened in Gaza and

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Speaker 2: you're operating merely from like text descriptions because I don't

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Speaker 2: know how anyone you know, you look at I mean,

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Speaker 2: that's myself included when you see like image after image

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Speaker 2: of just the carnage, especially.

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Speaker 1: Involving children, children and just people in general.

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Speaker 2: But like also you know, like there's an added layer

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Speaker 2: of empathy as a parent that you see and you

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Speaker 2: try and put yourself in that position, like dude, I

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Speaker 2: would fucking crump, Like how how how how how how how?

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Speaker 4: No, it's they are insulated from that, and and or

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Speaker 4: what they've told themselves is that it's a price worth paying.

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Speaker 4: And that's sorry, but forty thousands, mostly civilians.

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Speaker 2: Need to die, right, And then I'm always like, what

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Speaker 2: what happens when you are someone who is going to

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Speaker 2: be in need of that kind of empathy and sympathy

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Speaker 2: from the rest of the world. But what what happens then?

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Speaker 2: And that's how you kind of you have to sort

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Speaker 2: of keep that in mind to be able to be like, no,

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Speaker 2: all people deserve this level of respect, because a second

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Speaker 2: we start saying, well, not this group, then you're opening

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Speaker 2: the door for yourself to eventually be included in that group.

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Speaker 2: When the world goes, well, not that.

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Speaker 4: Group, because neces the scariest thing about this whole thing.

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Speaker 4: I was about to interview Rocana for my show and

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Speaker 4: I hope to representative Kana, and what I want to

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Speaker 4: ask him is his supportive norandum Modi right? And in

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Speaker 4: India and the you know the threat of Hindu nationalism.

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Speaker 4: Hindu nationalists have talked about wanting to do genocide against

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Speaker 4: you know, religious minorities, specifically Muslims, Christians, whatnot. You know,

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Speaker 4: this is a green light to future genocide because if

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Speaker 4: an American ally and Mody is an ally like it

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Speaker 4: or not right because economically, how could we ever not?

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Speaker 4: And that's Rokana and other semi progressive that's their cover

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Speaker 4: for cozying up to Modi. Well, what if Mody wants

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Speaker 4: to do a genocide. He's already been responsible for some massacres.

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Speaker 4: What if he wants It's like, what is to prevent us? Well,

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Speaker 4: we got to stand with him, always nuclear armed or

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Speaker 4: we're you know, we support them. It's just like it's

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Speaker 4: it is so sick, and it is it gets just

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Speaker 4: even worse from here unless we stop it here that Biden.

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Speaker 2: Yeah, it wasn't.

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Speaker 1: I thought we were at a turning point or at

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Speaker 1: a turning turning point, sir, turning you we were turning point,

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Speaker 1: yeah point yeah right, alt. Yeah, I don't I don't know.

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Speaker 1: I don't know. Tomatoes, Jack, would you say alta beauty shop?

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Speaker 2: Yeah, yeah, yeah, that's where I get my concealer.

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Speaker 1: All right, let's take a quick break and we'll talk

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Speaker 1: about his opponent, the other option, the option behind door B.

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Speaker 1: We are a lucky nation. We'll be right back, and

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Speaker 1: we're back. And the other guy, uh in. The other

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Speaker 1: guy is on criminal trial for, you know, doing breaking

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Speaker 1: the law when he ran for president the first time

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Speaker 1: with campaign finance stuff. Seems very quaint. Had we known

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Speaker 1: at the time what he was doing, it would have

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Speaker 1: not seen everybody be.

401
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Speaker 2: Like wait, what what No, that's what, right, But he

402
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Speaker 2: did a good job leading with racism, so people were like,

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Speaker 2: I can get behind that.

404
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Speaker 1: That's right. Yeah, yeah yeah. But one of the odd

405
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Speaker 1: detail to emerge from his New York criminal trial is

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Speaker 1: that he has a specific aid, former one American news anchor,

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Speaker 1: Natalie Harp, whose job is to follow him around with

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Speaker 1: a laptop and printer to provide him quote ongoing stream

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Speaker 1: of good news from the internet. In the form of

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Speaker 1: quote uplifting news articles, online posts, or other materials for it.

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Speaker 4: Well, is this like, is this like you know this

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Speaker 4: baby Tiger and baby Goose became best friends.

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Speaker 1: It might it's just positive things about.

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Speaker 2: Him or about him, right, I think it's gotta be

415
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Speaker 2: like that.

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Speaker 1: He doesn't give a fuck about baby Tigers.

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Speaker 2: Right, yes he he. If he did, though, I bet

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Speaker 2: his campaign is fucking up because you'd probably grab one

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Speaker 2: of these independents. He'd be like, well he loves baby tigers, right, yeah,

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Speaker 2: all that bad? But yeah, the an ongoing stream like

421
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Speaker 2: what the fuck? Like it's like snacks for a fucking time. Yeah,

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00:22:01,160 --> 00:22:02,879
Speaker 2: it's narcissism snacks.

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Speaker 4: Yeah, it's like, yeah, is this because he is not

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Speaker 4: allowed to have a phone. I'm assuming in the trial

425
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Speaker 4: like and stare down at the phone. Otherwise he would

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Speaker 4: be absolutely live true truth thing. What do you just

427
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Speaker 4: call it on TDZ?

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Speaker 2: Yeah, what we call Kirkland signature Twitter.

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Speaker 4: That makes sense.

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Speaker 2: But I know it's not just because of the trial.

431
00:22:32,240 --> 00:22:35,960
Speaker 2: They said the former reality TV hosts a couple or no, sorry,

432
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Speaker 2: they this person harp woul accompany, the former reality TV

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Speaker 2: host on golf trips in a cart quote equipped with

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Speaker 2: the laptop and sometimes a printer to show him uplifting

435
00:22:45,520 --> 00:22:48,359
Speaker 2: news articles. So even like would carry a wireless printer.

436
00:22:48,840 --> 00:22:50,320
Speaker 2: So it doesn't even matter if you're on trial, you

437
00:22:50,440 --> 00:22:52,680
Speaker 2: on the greens, the links or whatever you call this shit.

438
00:22:53,200 --> 00:22:56,800
Speaker 2: It's their news. So he doesn't like.

439
00:22:56,880 --> 00:22:59,840
Speaker 1: Really like when he's tweeting or like doing any of

440
00:22:59,840 --> 00:23:01,720
Speaker 1: that shit. Somebody else is doing that for him. He

441
00:23:01,880 --> 00:23:03,480
Speaker 1: just like doesn't have a device.

442
00:23:04,400 --> 00:23:06,760
Speaker 2: Well I'm sure he does sometimes, but it's clear like

443
00:23:06,840 --> 00:23:09,760
Speaker 2: obviously during the trial, his account was still posting on

444
00:23:09,920 --> 00:23:12,880
Speaker 2: truth so and I don't I don't count on him

445
00:23:12,880 --> 00:23:15,679
Speaker 2: to be like, let me schedule these truths so they

446
00:23:15,720 --> 00:23:18,359
Speaker 2: can refired off while ividence.

447
00:23:17,640 --> 00:23:19,919
Speaker 4: And he's it kind of explains he's been like firing

448
00:23:20,000 --> 00:23:23,760
Speaker 4: off like old poles like random, like, way, look at

449
00:23:23,760 --> 00:23:26,280
Speaker 4: how much I beat Nikky haley By. It's like that's

450
00:23:26,400 --> 00:23:27,800
Speaker 4: like months ago. What are you talking about?

451
00:23:28,040 --> 00:23:34,280
Speaker 1: Yeah, so I cocooned in a like just wreathed by

452
00:23:34,880 --> 00:23:38,400
Speaker 1: a pile of like eight and a half by eleven

453
00:23:38,800 --> 00:23:42,439
Speaker 1: pieces of white paper like matrix dot printed art.

454
00:23:42,440 --> 00:23:44,439
Speaker 4: Well, it's like how Alex Jones has everything laid out

455
00:23:44,440 --> 00:23:45,800
Speaker 4: in front of him, you know, and it's like, oh,

456
00:23:45,880 --> 00:23:48,680
Speaker 4: here's one about how my dick's real big, you know, yeah,

457
00:23:48,800 --> 00:23:50,480
Speaker 4: here's one about ham a really nice guy.

458
00:23:50,880 --> 00:23:51,240
Speaker 2: Yeah, I.

459
00:23:52,720 --> 00:23:56,520
Speaker 4: The fragility, right, yeah, this is like if any of

460
00:23:56,640 --> 00:23:59,440
Speaker 4: us have Google searches on our names. You know, you

461
00:23:59,480 --> 00:24:03,440
Speaker 4: know who you are a This is like that, but

462
00:24:03,720 --> 00:24:08,359
Speaker 4: times one hundred and you were the president and people

463
00:24:08,560 --> 00:24:11,879
Speaker 4: somehow still idolize you. But I think deep down this

464
00:24:12,160 --> 00:24:16,120
Speaker 4: is like he knows that he is a massive piece

465
00:24:16,160 --> 00:24:18,840
Speaker 4: of shit, like in just in there somewhere, it's like

466
00:24:19,800 --> 00:24:22,760
Speaker 4: you are trash, your garbage, and you know that.

467
00:24:23,240 --> 00:24:27,040
Speaker 1: I think at the most basic level, right like that,

468
00:24:27,240 --> 00:24:31,439
Speaker 1: I feel like that's where a sucking need to constantly

469
00:24:32,359 --> 00:24:35,880
Speaker 1: be told you're great or tell yourself you're great. Yeah,

470
00:24:36,080 --> 00:24:38,879
Speaker 1: like it has to come from at some basic level,

471
00:24:39,840 --> 00:24:43,480
Speaker 1: a sucking hole of like, guy, I fucking suck. This

472
00:24:43,600 --> 00:24:44,159
Speaker 1: is terrible.

473
00:24:44,240 --> 00:24:46,800
Speaker 2: Well, yeah, when your dad was a guy who looks

474
00:24:46,840 --> 00:24:48,560
Speaker 2: like he looked at the Arc of the Covenant for

475
00:24:48,880 --> 00:24:52,200
Speaker 2: just live just enough to stay out to Yeah, yeah,

476
00:24:52,520 --> 00:24:54,840
Speaker 2: it probably feels you the thing He's like you you're

477
00:24:55,240 --> 00:24:57,040
Speaker 2: shit bottled, you know what I mean? And I bet

478
00:24:57,200 --> 00:25:00,480
Speaker 2: now he needs little coloring books or what ever to

479
00:25:01,119 --> 00:25:04,680
Speaker 2: lift him up my question, h Francesca, because you've you know,

480
00:25:04,800 --> 00:25:07,720
Speaker 2: you've been on TV, you've you've read the news. Do

481
00:25:07,800 --> 00:25:10,639
Speaker 2: you think going from a one American news anchor to

482
00:25:11,200 --> 00:25:15,000
Speaker 2: human printer is a demotion or promotion?

483
00:25:15,920 --> 00:25:16,120
Speaker 5: Oh?

484
00:25:16,480 --> 00:25:19,320
Speaker 2: Because I used dealing with the performer presidents, I guess

485
00:25:19,640 --> 00:25:20,879
Speaker 2: because One American.

486
00:25:20,560 --> 00:25:23,840
Speaker 1: News like a nineteen ninety eight medieval surf.

487
00:25:24,520 --> 00:25:25,879
Speaker 4: Yeah, I don't know how many. It depends on how

488
00:25:25,880 --> 00:25:28,640
Speaker 4: heavy the printer is. Yeah, they got those like swim

489
00:25:28,680 --> 00:25:31,240
Speaker 4: Little Epsen's. But if it's like a big you know

490
00:25:31,720 --> 00:25:33,919
Speaker 4: that's going to be difficult on the back. I think

491
00:25:33,960 --> 00:25:35,280
Speaker 4: it's a lateral move for sure.

492
00:25:36,160 --> 00:25:37,399
Speaker 2: Okay, we got you.

493
00:25:38,240 --> 00:25:41,040
Speaker 4: But he is like, oh god, I'm blanking on his

494
00:25:41,200 --> 00:25:47,240
Speaker 4: name now from veep right, Like he's the like yeah, yeah,

495
00:25:47,359 --> 00:25:52,719
Speaker 4: he's the right hand like vis ego, yes, the fluffer right,

496
00:25:53,000 --> 00:25:53,520
Speaker 4: or she's the.

497
00:25:53,560 --> 00:25:56,600
Speaker 1: Fluffer ego fluffer, yeah, the ego fluffer.

498
00:25:56,720 --> 00:26:00,119
Speaker 4: But also like I'm really curious about how cute she

499
00:26:00,320 --> 00:26:04,800
Speaker 4: is because if she's not a ten, I'm like, you know, like,

500
00:26:04,920 --> 00:26:08,720
Speaker 4: why is she she must be like a seven? Because

501
00:26:09,000 --> 00:26:10,680
Speaker 4: if she were at ten, she'd be like out in

502
00:26:10,760 --> 00:26:13,000
Speaker 4: front speaking for him, but only the sevens, Like I

503
00:26:13,040 --> 00:26:15,760
Speaker 4: will print something for you because I am. Yeah, there

504
00:26:15,800 --> 00:26:17,520
Speaker 4: we go see a little.

505
00:26:19,080 --> 00:26:24,960
Speaker 2: Yeah she she looks like a normal person, yeah right, yeah, she.

506
00:26:24,960 --> 00:26:28,080
Speaker 4: Looks like she looked like a weaponized the Brats doll

507
00:26:28,240 --> 00:26:29,560
Speaker 4: like Alina Haba.

508
00:26:29,760 --> 00:26:33,879
Speaker 2: Right right, exactly exactly. She looks like, uh, what's her face?

509
00:26:34,400 --> 00:26:36,640
Speaker 2: That used to be on the Blaze, the blonde lady

510
00:26:36,640 --> 00:26:38,399
Speaker 2: who would shriek all the time, the racist to one

511
00:26:38,480 --> 00:26:40,000
Speaker 2: Tommy Laren, Yeah, Tommy.

512
00:26:39,960 --> 00:26:41,359
Speaker 1: Oh my god, what happened to her?

513
00:26:42,040 --> 00:26:42,800
Speaker 4: What's around?

514
00:26:43,160 --> 00:26:47,680
Speaker 2: She's on Fox? Just not yeah? I mean, you know,

515
00:26:47,760 --> 00:26:48,959
Speaker 2: her stock definitely crashed.

516
00:26:49,600 --> 00:26:51,159
Speaker 1: Damn you hate to see it.

517
00:26:51,320 --> 00:26:53,880
Speaker 2: You really she's still in LA because I remember people

518
00:26:53,880 --> 00:26:55,879
Speaker 2: were seeing her in l A and just like blewing

519
00:26:55,920 --> 00:26:57,320
Speaker 2: the fuck out of her wherever they whenever.

520
00:26:57,359 --> 00:27:00,200
Speaker 4: She I don't know if she's here, but she I

521
00:27:00,280 --> 00:27:03,439
Speaker 4: think she's just got a better contract, meaning she's got

522
00:27:03,520 --> 00:27:06,720
Speaker 4: better money, probably does less appearances and doesn't have to

523
00:27:06,800 --> 00:27:10,000
Speaker 4: get like I don't know. I think it's probably in

524
00:27:10,040 --> 00:27:11,600
Speaker 4: a better place, right.

525
00:27:11,760 --> 00:27:14,520
Speaker 2: Yeah somehow, Yeah, No, for sure, it's.

526
00:27:14,400 --> 00:27:19,080
Speaker 4: She's like if ah, she's like if Chaia w reitchick,

527
00:27:19,160 --> 00:27:20,760
Speaker 4: you know what I'm saying. If Chia Wrightchick got like

528
00:27:20,800 --> 00:27:23,639
Speaker 4: an actual cushy job. You wouldn't have to hear as

529
00:27:23,720 --> 00:27:26,000
Speaker 4: much from Chia Wright chick. She wouldn't be trying to

530
00:27:26,040 --> 00:27:28,800
Speaker 4: call in bomb threats and ship because she'd be like, legit.

531
00:27:28,800 --> 00:27:31,040
Speaker 2: I don't call them, man, I encourage others to do

532
00:27:31,160 --> 00:27:32,280
Speaker 2: it right, exactly, Thank you.

533
00:27:33,240 --> 00:27:36,040
Speaker 1: All right, let's talk about NPR. There was a ship

534
00:27:36,119 --> 00:27:39,360
Speaker 1: storm earlier, I guess was last week into this week,

535
00:27:39,760 --> 00:27:42,720
Speaker 1: after one of its former editors wrote an op ed

536
00:27:42,960 --> 00:27:48,880
Speaker 1: for Barry Weiss on her like free press bullshit thing,

537
00:27:49,520 --> 00:27:53,359
Speaker 1: just talking about how NPR like so woke now you

538
00:27:53,480 --> 00:27:55,800
Speaker 1: can't can't say anything on there.

539
00:27:56,000 --> 00:28:00,360
Speaker 2: Yeah, no wonder, no wonder, America has lost trust down

540
00:28:00,400 --> 00:28:05,080
Speaker 2: the tubes. The listeners aren't even listening. Yeah, I know.

541
00:28:05,840 --> 00:28:08,280
Speaker 2: His main complaints in his op ed sort of centered

542
00:28:08,280 --> 00:28:11,480
Speaker 2: around how Trump was being covered the stories of stories

543
00:28:11,520 --> 00:28:14,680
Speaker 2: about Russian collusion, which yeah, I mean, I mean, I

544
00:28:14,760 --> 00:28:16,960
Speaker 2: think a lot of media could have maybe done less

545
00:28:16,960 --> 00:28:19,080
Speaker 2: about that, but hey, at the time, it was like,

546
00:28:19,160 --> 00:28:21,120
Speaker 2: where the fuck is this going? Maybe it feels bad

547
00:28:21,119 --> 00:28:23,960
Speaker 2: because it's such a letdown. Then also saying not reporting

548
00:28:24,240 --> 00:28:28,240
Speaker 2: enough on Hunter Biden's laptop and the fact that they

549
00:28:28,320 --> 00:28:32,280
Speaker 2: didn't breathlessly report on how COVID came from a Chinese lab.

550
00:28:33,200 --> 00:28:35,199
Speaker 2: So all of those things, like it's all and they

551
00:28:35,240 --> 00:28:38,000
Speaker 2: all just fell apart. Then he also felt that this

552
00:28:38,520 --> 00:28:42,560
Speaker 2: that NPR became too devoted to diversity, and that's suddenly

553
00:28:42,640 --> 00:28:46,200
Speaker 2: that like marginalized groups had to say and how stories

554
00:28:46,240 --> 00:28:49,200
Speaker 2: were covered or what what terminology to use, or that

555
00:28:49,280 --> 00:28:52,200
Speaker 2: he was made to take bias sensitivity training and stuff

556
00:28:52,240 --> 00:28:54,560
Speaker 2: like that. But I think you know the problem at

557
00:28:54,680 --> 00:28:58,720
Speaker 2: NPR is not wokeness or being overly progressive. It's look,

558
00:28:58,760 --> 00:29:02,200
Speaker 2: they've been hit with multiple lawsuits from former employees alleging

559
00:29:02,280 --> 00:29:05,840
Speaker 2: racial discrimination. So I don't think it's quite quite the

560
00:29:06,040 --> 00:29:08,400
Speaker 2: maybe environment that you think it is. But and then

561
00:29:08,480 --> 00:29:11,320
Speaker 2: also there was there reporting essentially blows down to like

562
00:29:11,960 --> 00:29:15,120
Speaker 2: liberal leaning status quo. Yeah, yes, it's not like you're

563
00:29:15,160 --> 00:29:19,200
Speaker 2: not breaking the meter for progressive ideals or anything like that.

564
00:29:19,600 --> 00:29:23,760
Speaker 4: Quite the opposite. NPR is notorious for actually retaliating against

565
00:29:23,840 --> 00:29:28,200
Speaker 4: any staffer who would go to like any protest demonstration

566
00:29:29,080 --> 00:29:32,400
Speaker 4: for being biased. Right, So that's one thing which you know,

567
00:29:32,560 --> 00:29:34,240
Speaker 4: you can think a couple of ways about that, but

568
00:29:34,320 --> 00:29:37,720
Speaker 4: like it's a massive organization, people are allowed to not

569
00:29:37,880 --> 00:29:40,840
Speaker 4: represent your company. And also express their First Amendment right,

570
00:29:41,240 --> 00:29:44,400
Speaker 4: they shouldn't be retaliated against at work. And secondly, I

571
00:29:44,440 --> 00:29:48,480
Speaker 4: think we remember when the documents, the Biden documents scandal

572
00:29:48,640 --> 00:29:52,520
Speaker 4: came out. NPR covered it exactly and equally as if

573
00:29:52,600 --> 00:29:56,360
Speaker 4: it were as bad as Trump taking home fucking souvenirs,

574
00:29:57,400 --> 00:29:59,680
Speaker 4: you know, to do show and tell at Ma a

575
00:29:59,760 --> 00:30:02,120
Speaker 4: lat go and trade for favors that he kept in

576
00:30:02,160 --> 00:30:05,560
Speaker 4: a fucking bathroom. And they're like, well, isn't this how

577
00:30:05,680 --> 00:30:08,600
Speaker 4: different is this than what President Trump did? You know,

578
00:30:08,760 --> 00:30:10,160
Speaker 4: isn't this the same? It's like, no, it's not the

579
00:30:10,200 --> 00:30:13,240
Speaker 4: same at all, because Biden didn't know about them one

580
00:30:13,320 --> 00:30:15,400
Speaker 4: and number two, he wasn't asked for them back for

581
00:30:15,600 --> 00:30:18,320
Speaker 4: months and months and months. So it's so funny. And

582
00:30:18,520 --> 00:30:23,080
Speaker 4: PR covers things too evenly to a fault, right, like

583
00:30:23,720 --> 00:30:29,720
Speaker 4: they they might be objective, but they're not actually being honest.

584
00:30:29,960 --> 00:30:33,240
Speaker 1: Trade Yeah, yeah, yeah, And yeah, I think objective is

585
00:30:33,280 --> 00:30:37,280
Speaker 1: a fucking very loose and opportunistic term in their case

586
00:30:37,400 --> 00:30:40,320
Speaker 1: that allows them to also be like one of the

587
00:30:40,360 --> 00:30:43,680
Speaker 1: worst offenders when it comes to just quoting the police

588
00:30:43,760 --> 00:30:46,280
Speaker 1: when it comes to any story about criminal justice. Sure,

589
00:30:46,560 --> 00:30:51,280
Speaker 1: and yeah, woke sources like the police yeah, yeah, I

590
00:30:51,320 --> 00:30:51,600
Speaker 1: guess the.

591
00:30:51,600 --> 00:30:54,760
Speaker 4: Word is fair, like they say fair like fairness both

592
00:30:54,840 --> 00:30:56,680
Speaker 4: sides and thiss. I know people have worked on NPR

593
00:30:56,800 --> 00:30:59,600
Speaker 4: and PBS because they're they're guilty of it too. On

594
00:30:59,800 --> 00:31:01,840
Speaker 4: pro that they're like, we're going to dig into like

595
00:31:02,320 --> 00:31:05,560
Speaker 4: you know, medicare right and really expose medicare, especially like

596
00:31:05,600 --> 00:31:08,920
Speaker 4: the scams and how seniors are getting you know, whittled

597
00:31:08,960 --> 00:31:10,880
Speaker 4: down da da da da da. And then they get

598
00:31:10,960 --> 00:31:13,840
Speaker 4: told by their editors like this is an amazing piece

599
00:31:13,880 --> 00:31:16,680
Speaker 4: of investigative work that you spent months on. Can you

600
00:31:16,920 --> 00:31:20,960
Speaker 4: give us the big pharma side of the story, And

601
00:31:21,120 --> 00:31:25,240
Speaker 4: they'll be asked to straight up incorporate some fucking spokesperson

602
00:31:25,960 --> 00:31:28,840
Speaker 4: into their piece. So like that's what I mean by this,

603
00:31:29,080 --> 00:31:32,360
Speaker 4: like fairness but not actually honest.

604
00:31:32,320 --> 00:31:33,000
Speaker 2: Right exactly.

605
00:31:33,000 --> 00:31:35,840
Speaker 1: And you get their values just by if you listen

606
00:31:35,920 --> 00:31:39,840
Speaker 1: to MPR, like every hour on the hour, they're checking

607
00:31:39,880 --> 00:31:42,640
Speaker 1: in with the markets, you know, like you ever notice

608
00:31:42,680 --> 00:31:45,960
Speaker 1: like how upset with the stock markets and just like

609
00:31:46,600 --> 00:31:49,960
Speaker 1: it it really they they just want to be adults,

610
00:31:50,080 --> 00:31:52,160
Speaker 1: like that is their whole thing is like, well we're

611
00:31:52,320 --> 00:31:55,240
Speaker 1: serious and we're adults here, and like their whole sense

612
00:31:55,280 --> 00:31:59,440
Speaker 1: of humor is just like shitty old person.

613
00:31:59,480 --> 00:32:03,840
Speaker 2: Like profess be funny, but the professional man, the professional objective.

614
00:32:03,920 --> 00:32:06,560
Speaker 2: I mean, look, there's this one excerpt from a former editor.

615
00:32:06,600 --> 00:32:08,640
Speaker 2: Because a lot of people started, you know, giving their

616
00:32:08,680 --> 00:32:10,560
Speaker 2: own stories about what it was like to work at

617
00:32:10,680 --> 00:32:12,600
Speaker 2: MPR and with the sort of same thing. It's like,

618
00:32:12,640 --> 00:32:15,800
Speaker 2: the problem is not wokeness, it's the both sides the shit.

619
00:32:16,520 --> 00:32:19,720
Speaker 2: This is an excerpt from the newsrooms. This is a

620
00:32:19,880 --> 00:32:22,440
Speaker 2: look into the newsroom during the twenty sixteen election. Quote.

621
00:32:22,640 --> 00:32:25,320
Speaker 2: I remember one editorial meeting where a white newsroom leader

622
00:32:25,400 --> 00:32:28,360
Speaker 2: said that Trump's strong pole numbers wouldn't survive his being

623
00:32:28,440 --> 00:32:31,480
Speaker 2: exposed as a racist. When a journalist of color asked

624
00:32:31,680 --> 00:32:34,640
Speaker 2: whether his numbers could be rising because of his racism,

625
00:32:34,960 --> 00:32:38,520
Speaker 2: the comment was met with silence. In another meeting, I

626
00:32:38,720 --> 00:32:41,200
Speaker 2: and a couple of other editorial leaders were encouraged to

627
00:32:41,280 --> 00:32:43,720
Speaker 2: make sure that any coverage of a Trump lie was

628
00:32:43,880 --> 00:32:46,520
Speaker 2: matched with a story about a lie from Hillary Clinton.

629
00:32:46,840 --> 00:32:49,600
Speaker 2: Another colleague asked what to do if one candidate just

630
00:32:49,920 --> 00:32:53,720
Speaker 2: lied more than the other. Another silent response, Yeah, so

631
00:32:53,960 --> 00:32:56,240
Speaker 2: stupid question, man, Why are you asking that?

632
00:32:56,400 --> 00:32:58,840
Speaker 1: We don't care about that. We just care about the

633
00:32:58,960 --> 00:33:02,960
Speaker 1: appearance that we being fair and can't be accused of

634
00:33:03,520 --> 00:33:04,280
Speaker 1: having right.

635
00:33:04,640 --> 00:33:06,680
Speaker 4: Here's what I will say about this guy's like, the

636
00:33:06,760 --> 00:33:09,640
Speaker 4: reason he's been triggered is because there are a number

637
00:33:09,800 --> 00:33:16,239
Speaker 4: of poc led shows that do feel a little bit

638
00:33:16,400 --> 00:33:22,000
Speaker 4: like explaining why something that isn't problematic is problematic to

639
00:33:22,400 --> 00:33:25,920
Speaker 4: a white liberal like it is it is the it

640
00:33:26,080 --> 00:33:31,080
Speaker 4: is a little bit sort of yes, smug and scoldie

641
00:33:31,400 --> 00:33:34,400
Speaker 4: that even me, who like I am a lefty, But

642
00:33:34,560 --> 00:33:37,880
Speaker 4: I will listen to NPR sometimes and I'm like, yo, maga,

643
00:33:38,000 --> 00:33:39,520
Speaker 4: you know what I'm saying, Like, I get it because

644
00:33:39,560 --> 00:33:44,840
Speaker 4: it's obnoxious. There's something obnoxious about it. It's it's identity politics. Sometimes,

645
00:33:44,880 --> 00:33:47,480
Speaker 4: I'm not saying all times that can be stripped of

646
00:33:47,600 --> 00:33:51,320
Speaker 4: the power dynamics, the radicalness what makes identity politics tight

647
00:33:52,280 --> 00:33:57,000
Speaker 4: started by black feminists. But but this person is seeing

648
00:33:57,200 --> 00:34:03,280
Speaker 4: a couple of shows which represents a more diverse perspective

649
00:34:03,880 --> 00:34:07,200
Speaker 4: and suddenly thinks that, like we've all gone woke. When

650
00:34:08,440 --> 00:34:11,000
Speaker 4: I am assuming that those lawsuits are because the people

651
00:34:11,120 --> 00:34:15,239
Speaker 4: actually making decisions about which shows get green lit, which

652
00:34:15,280 --> 00:34:17,839
Speaker 4: shows get renewed, who are the hosts? Those people are

653
00:34:17,880 --> 00:34:18,920
Speaker 4: probably all white people?

654
00:34:19,719 --> 00:34:23,320
Speaker 2: Yeah? Sure, sure, And yeah, I think this just it

655
00:34:23,400 --> 00:34:26,400
Speaker 2: feels like one of those things too, where they like

656
00:34:26,480 --> 00:34:28,920
Speaker 2: when when they're complaints like we aren't talking enough about

657
00:34:28,920 --> 00:34:32,960
Speaker 2: the Biden crime family or Hunter's dick, like and you

658
00:34:33,040 --> 00:34:34,800
Speaker 2: wrote it, and it's like I get it.

659
00:34:34,920 --> 00:34:37,759
Speaker 1: Those are his pieces of evidence of like stories that

660
00:34:37,920 --> 00:34:41,279
Speaker 1: got away that like the MPR didn't cover enough, like

661
00:34:41,440 --> 00:34:44,360
Speaker 1: those are your showing stories.

662
00:34:44,360 --> 00:34:46,600
Speaker 4: And and and the reality is that they do like

663
00:34:46,719 --> 00:34:49,360
Speaker 4: they do cover them. Look, we're in the midst of like,

664
00:34:50,080 --> 00:34:52,920
Speaker 4: no one's actually covering the fact that like the impeachment

665
00:34:53,000 --> 00:34:57,640
Speaker 4: inquiry is based on nothing. It's based on absolutely fucking nothing.

666
00:34:57,719 --> 00:34:59,000
Speaker 4: Where's the round clock coverage of that?

667
00:34:59,680 --> 00:34:59,799
Speaker 1: Right?

668
00:35:00,040 --> 00:35:03,719
Speaker 4: And then you know, because MPR is the it is

669
00:35:03,840 --> 00:35:07,800
Speaker 4: the tip of the why don't we listen to the

670
00:35:08,120 --> 00:35:12,279
Speaker 4: racist spear in media? They are the ones who are

671
00:35:12,360 --> 00:35:15,319
Speaker 4: like they were the probably the first ones after twenty

672
00:35:15,360 --> 00:35:17,560
Speaker 4: sixteen of like maybe we just need to reach across

673
00:35:17,640 --> 00:35:20,000
Speaker 4: the aisle and like hold hands with the clan, you know,

674
00:35:20,160 --> 00:35:23,480
Speaker 4: like that's like, why what are we getting about? You know,

675
00:35:23,719 --> 00:35:27,719
Speaker 4: working class white people, which is a continued myth about

676
00:35:27,760 --> 00:35:30,360
Speaker 4: the Trump voter who is not working class. They are

677
00:35:30,560 --> 00:35:34,200
Speaker 4: very much middle to upper class business owners got them

678
00:35:34,239 --> 00:35:35,960
Speaker 4: PvP loans, et cetera.

679
00:35:35,880 --> 00:35:38,279
Speaker 2: Taking jets to the Capitol on January sixth, like yeah,

680
00:35:38,320 --> 00:35:41,319
Speaker 2: we see one million per yeah yeah, And I mean,

681
00:35:41,360 --> 00:35:43,640
Speaker 2: like there is there's something too talking about just sort

682
00:35:43,640 --> 00:35:47,560
Speaker 2: of like the post summer of twenty twenty diversity initiatives

683
00:35:47,640 --> 00:35:49,840
Speaker 2: that were going around that did or didn't like and

684
00:35:49,920 --> 00:35:52,080
Speaker 2: what they did or didn't achieve, but not in the

685
00:35:52,160 --> 00:35:55,000
Speaker 2: way that this like aggrieved dude is doing it, and

686
00:35:55,120 --> 00:35:58,480
Speaker 2: like in it's just like yeah, come on, but hey anyway, but.

687
00:35:58,520 --> 00:36:01,600
Speaker 4: That's something, you know, it's it's again the reaction to DEI,

688
00:36:03,760 --> 00:36:08,040
Speaker 4: the reaction to when any black or brown person gets

689
00:36:08,120 --> 00:36:12,320
Speaker 4: any kind of inection a show for anything. It's like,

690
00:36:13,360 --> 00:36:17,840
Speaker 4: the answer isn't less fewer DEI programs. The answer isn't fewer.

691
00:36:18,280 --> 00:36:20,680
Speaker 4: Like that's where corporate media is headed now. It's like, well,

692
00:36:20,680 --> 00:36:22,400
Speaker 4: I guess we should just do fewer things. Well we

693
00:36:22,480 --> 00:36:25,680
Speaker 4: already have a black Like that's where everyone's now going.

694
00:36:26,120 --> 00:36:30,640
Speaker 4: But the answer is, actually, we need to radically reshape, right,

695
00:36:30,800 --> 00:36:33,480
Speaker 4: all of these industries. We need to reshape, you know,

696
00:36:33,520 --> 00:36:35,799
Speaker 4: if it's like affirmative action, we need to reshape all

697
00:36:35,880 --> 00:36:38,959
Speaker 4: of higher education. What about you know, let's talk about

698
00:36:38,960 --> 00:36:41,839
Speaker 4: real reparations. Now, let's talk about a third reconstruction. Let's

699
00:36:41,840 --> 00:36:44,840
Speaker 4: talk about Medicare for all is let's do universal programs

700
00:36:44,880 --> 00:36:47,080
Speaker 4: that are far more radical that will, by the way,

701
00:36:47,440 --> 00:36:50,080
Speaker 4: help black and brown people and working people more than

702
00:36:50,120 --> 00:36:52,840
Speaker 4: anyone else. Like the answer isn't to recoil. But so

703
00:36:52,960 --> 00:36:56,120
Speaker 4: we're in this like we're in this backlash moment, but

704
00:36:56,200 --> 00:36:58,600
Speaker 4: it's a backlash to some shit that was already like

705
00:36:58,920 --> 00:37:01,560
Speaker 4: to surface, like it wasn't actually get into the heart

706
00:37:02,120 --> 00:37:03,080
Speaker 4: of what we need to do.

707
00:37:03,600 --> 00:37:05,840
Speaker 2: Yeah, did you see when Charlemagne was going off on

708
00:37:05,960 --> 00:37:08,200
Speaker 2: in the Daily Show, like one of the worst pieces

709
00:37:08,239 --> 00:37:10,879
Speaker 2: I had seen, talking about like what is DEI even

710
00:37:10,920 --> 00:37:12,839
Speaker 2: and you're like the thrust of it was coming off

711
00:37:12,880 --> 00:37:15,120
Speaker 2: like a Fox News piece rather than what the real

712
00:37:15,440 --> 00:37:18,799
Speaker 2: substance of those criticisms is is that too many plays

713
00:37:19,000 --> 00:37:24,560
Speaker 2: ninety nine point of businesses took DEI as just a

714
00:37:24,880 --> 00:37:27,839
Speaker 2: box they had to tick, that was it, and or like, hey,

715
00:37:28,040 --> 00:37:30,399
Speaker 2: we've got the classes done, rather than like to your point,

716
00:37:30,800 --> 00:37:35,440
Speaker 2: talking about real systemic overhaul, like actually getting to what

717
00:37:35,760 --> 00:37:37,839
Speaker 2: is causing all this and not be like, oh man,

718
00:37:37,920 --> 00:37:41,040
Speaker 2: it's that we didn't have classes about microaggressions that will

719
00:37:41,160 --> 00:37:42,239
Speaker 2: rop the micro right.

720
00:37:42,400 --> 00:37:44,759
Speaker 1: We put it on you to learn. It's your fault,

721
00:37:44,920 --> 00:37:47,840
Speaker 1: you're you need to do the learning, and we're not

722
00:37:47,920 --> 00:37:48,880
Speaker 1: going to make any changes.

723
00:37:49,280 --> 00:37:52,160
Speaker 4: And it's been I've been covering this a little bit

724
00:37:52,200 --> 00:37:54,680
Speaker 4: because Stephen Miller is like he's got his America first

725
00:37:54,719 --> 00:37:57,120
Speaker 4: fucking law firm that's going to defend white people from

726
00:37:57,200 --> 00:38:01,760
Speaker 4: so called anti white racism, and they like actually having success,

727
00:38:02,040 --> 00:38:05,560
Speaker 4: like getting federal funds removed from like specifically to help

728
00:38:05,600 --> 00:38:09,640
Speaker 4: out black farmers, like real shit, like real, real fucked

729
00:38:09,680 --> 00:38:13,600
Speaker 4: up shit, which makes me it's like, what do we do.

730
00:38:13,800 --> 00:38:15,839
Speaker 4: We have to fight to defend these programs, but also

731
00:38:17,280 --> 00:38:19,800
Speaker 4: we can't have anything nice because white people will always

732
00:38:19,840 --> 00:38:22,120
Speaker 4: think it's a hit against them, that they're always that

733
00:38:22,200 --> 00:38:24,759
Speaker 4: they're losing out. So it's like, how do we have

734
00:38:24,840 --> 00:38:27,319
Speaker 4: programs that are universal so you get buy in from

735
00:38:27,400 --> 00:38:30,920
Speaker 4: the racist, but that they stealth actually help out people

736
00:38:30,960 --> 00:38:31,359
Speaker 4: of color?

737
00:38:31,440 --> 00:38:33,439
Speaker 2: You know what I mean? Like exactly, Like that's yeah,

738
00:38:33,480 --> 00:38:36,160
Speaker 2: that's how it has to be done, so like elegantly

739
00:38:36,400 --> 00:38:38,560
Speaker 2: and in this way where it's like it's like you're

740
00:38:38,600 --> 00:38:40,960
Speaker 2: trying to put a like a shark to sleep or something,

741
00:38:41,040 --> 00:38:44,400
Speaker 2: you know, Yeah, just touch that weird spot on their

742
00:38:44,440 --> 00:38:47,319
Speaker 2: head and then let the fucking equity flow and then

743
00:38:47,360 --> 00:38:50,000
Speaker 2: they don't realize. But it's wait, why do they get it?

744
00:38:50,080 --> 00:38:52,200
Speaker 2: Because we still it's always why do they get it?

745
00:38:52,360 --> 00:38:54,640
Speaker 2: And it's like, yes, there's no. It never starts with

746
00:38:54,800 --> 00:38:59,920
Speaker 2: an actual uh self assessment or realization or ability to say,

747
00:39:00,239 --> 00:39:03,799
Speaker 2: I understand what the advantages are, So someone who needs

748
00:39:03,840 --> 00:39:06,759
Speaker 2: to be lifted out of poverty, I understand why I

749
00:39:06,880 --> 00:39:09,760
Speaker 2: am not living in poverty. That's yes, but you can't.

750
00:39:09,880 --> 00:39:12,600
Speaker 2: They can't seem to cross that river intellectual.

751
00:39:12,239 --> 00:39:14,120
Speaker 4: And that's really because this has got real deep. But

752
00:39:14,200 --> 00:39:18,000
Speaker 4: that's really because we haven't had that, you know, as William,

753
00:39:18,280 --> 00:39:21,000
Speaker 4: Reverend William Barber the Third always talks about that third reconstruction,

754
00:39:21,120 --> 00:39:24,359
Speaker 4: that full coming to Jesus more about slavery and Jim

755
00:39:24,440 --> 00:39:26,879
Speaker 4: Crow in this country, like we still don't and we're

756
00:39:26,960 --> 00:39:28,440
Speaker 4: so scared of that conversation.

757
00:39:29,200 --> 00:39:33,239
Speaker 1: Right, all right, let's take a quick break because I

758
00:39:33,560 --> 00:39:36,479
Speaker 1: can't wait to find out what fast is. I'm sure

759
00:39:36,600 --> 00:39:38,759
Speaker 1: we planted that seat at the top of the show

760
00:39:38,800 --> 00:39:41,520
Speaker 1: and everyone's like, what's fast? What does it? What does

761
00:39:41,560 --> 00:39:45,280
Speaker 1: it mean? Does it change the future landscape of digital media?

762
00:39:45,800 --> 00:40:01,640
Speaker 1: So we'll be right back, and we're back and and yeah,

763
00:40:01,800 --> 00:40:06,719
Speaker 1: streaming is is out. All the streamers they tried, they

764
00:40:06,800 --> 00:40:10,960
Speaker 1: got beat by Netflix. They're all given their content back

765
00:40:10,960 --> 00:40:11,600
Speaker 1: to Netflix.

766
00:40:12,120 --> 00:40:15,880
Speaker 4: Yeah, private equity firms, private equity from them.

767
00:40:16,040 --> 00:40:18,359
Speaker 2: They all tried. You know, they said they thought all

768
00:40:18,400 --> 00:40:22,040
Speaker 2: these all these companies out. The future of entertainment was

769
00:40:22,160 --> 00:40:27,239
Speaker 2: the unsustainable business model that is streaming. And look at

770
00:40:27,320 --> 00:40:29,600
Speaker 2: us now. But yeah, I mean, like we've talked about

771
00:40:29,600 --> 00:40:32,879
Speaker 2: how streaming apps just flooded our attention spans, like more

772
00:40:33,000 --> 00:40:35,200
Speaker 2: shows than like we know what to do with, and

773
00:40:35,280 --> 00:40:37,520
Speaker 2: it's to the point where I'm so overwhelmed I can

774
00:40:37,600 --> 00:40:40,480
Speaker 2: barely keep up. So I've basically gone inert. I'm like

775
00:40:40,600 --> 00:40:42,919
Speaker 2: watching shit from the nineties because I'm like, yeah, dude,

776
00:40:43,400 --> 00:40:47,040
Speaker 2: there's a what, there's a there's a there's a Samurai anime,

777
00:40:47,440 --> 00:40:51,759
Speaker 2: there's a Samurai show, there's a future Samurai show, but

778
00:40:51,920 --> 00:40:54,400
Speaker 2: not that one, the other one. I'm like, there's too

779
00:40:54,440 --> 00:40:56,040
Speaker 2: many things. A similar thing happened to me with all

780
00:40:56,040 --> 00:40:58,239
Speaker 2: the fucking Marvel movies, Like there were just too many

781
00:40:58,640 --> 00:41:00,520
Speaker 2: too soon, and I had to get off the train

782
00:41:00,600 --> 00:41:04,560
Speaker 2: after like Iron Man three. But many other consumers I

783
00:41:04,600 --> 00:41:06,920
Speaker 2: think feel the same way, it seems, especially when you

784
00:41:07,040 --> 00:41:10,959
Speaker 2: consider how a new category that has emerged fast free

785
00:41:11,160 --> 00:41:14,200
Speaker 2: ads supported streaming TV. Those are places like two B

786
00:41:14,400 --> 00:41:18,960
Speaker 2: and free V. They're basically what old traditional TV channels

787
00:41:19,040 --> 00:41:21,839
Speaker 2: used to be, like always on with ads here and there,

788
00:41:22,320 --> 00:41:24,360
Speaker 2: and you can basically just like watch whatever's on, no

789
00:41:24,480 --> 00:41:27,600
Speaker 2: rewinding or anything like that. These services are getting more

790
00:41:27,719 --> 00:41:32,680
Speaker 2: watch time than peacock is or max is or Paramount

791
00:41:32,719 --> 00:41:36,080
Speaker 2: Plus at this point. And it turns out what we're

792
00:41:36,160 --> 00:41:39,080
Speaker 2: just back to fucking TV channels like where you have

793
00:41:39,280 --> 00:41:43,600
Speaker 2: no control. And now Disney has realized this, and based

794
00:41:43,680 --> 00:41:47,280
Speaker 2: on reports, they are also in like they're revamped Disney

795
00:41:47,320 --> 00:41:49,279
Speaker 2: Plus app that's going to be coming out. They are

796
00:41:49,360 --> 00:41:52,480
Speaker 2: going to be putting on these like always.

797
00:41:52,120 --> 00:41:53,040
Speaker 1: On, change free.

798
00:41:53,200 --> 00:41:55,960
Speaker 2: I guess, for lack of a better word, Disney channels

799
00:41:56,800 --> 00:41:59,360
Speaker 2: like love well, I kind of love that. Yeah, I

800
00:41:59,400 --> 00:42:02,640
Speaker 2: mean I watch episodes of old reruns of Avonlea, that

801
00:42:02,800 --> 00:42:04,919
Speaker 2: old weird piece The Man. There's a lot of weird

802
00:42:04,920 --> 00:42:05,960
Speaker 2: shows I used to watch on there.

803
00:42:06,239 --> 00:42:09,120
Speaker 1: So it is linear, like you you don't get to

804
00:42:09,520 --> 00:42:12,560
Speaker 1: choose what you watch and then have ads like stream

805
00:42:12,840 --> 00:42:16,319
Speaker 1: during the watching it. It's actually like you just click

806
00:42:16,400 --> 00:42:19,080
Speaker 1: on an app and see what they are streaming.

807
00:42:19,640 --> 00:42:21,759
Speaker 2: It'll be like the Pixar channel and you might just

808
00:42:21,840 --> 00:42:23,239
Speaker 2: you might have come in on the middle of Toy

809
00:42:23,320 --> 00:42:26,080
Speaker 2: Story four, you know what I mean. Or the ads

810
00:42:26,480 --> 00:42:30,960
Speaker 2: like there'll be breaks, yeah, interspersed potentially. Yeah, like that

811
00:42:31,200 --> 00:42:33,000
Speaker 2: part isn't clear, but when you see that on these

812
00:42:33,040 --> 00:42:35,400
Speaker 2: other you know, these other versions. Yeah, there's definitely some

813
00:42:35,520 --> 00:42:37,600
Speaker 2: ads that they just used to kind of punctuate the

814
00:42:37,640 --> 00:42:40,040
Speaker 2: stuff too, or like there's like a pre roll ad

815
00:42:40,120 --> 00:42:42,120
Speaker 2: or stuff like that. So just like, wow, to me

816
00:42:42,239 --> 00:42:46,920
Speaker 2: that like we're basically back at fucking Lindy here TV channels,

817
00:42:47,040 --> 00:42:49,040
Speaker 2: like the future was the past.

818
00:42:49,480 --> 00:42:53,360
Speaker 4: Yeah, I can't wait, wait innovate, put my kids into

819
00:42:53,400 --> 00:42:54,200
Speaker 4: our own assholes.

820
00:42:54,680 --> 00:42:58,200
Speaker 1: Yeah, my kids like can't even understand the concept of

821
00:42:58,360 --> 00:43:03,320
Speaker 1: linear like of like catching something that is on and

822
00:43:03,480 --> 00:43:05,560
Speaker 1: not being able to like stop it and just like

823
00:43:05,680 --> 00:43:08,360
Speaker 1: save it for later or start from the beginning or

824
00:43:08,680 --> 00:43:08,880
Speaker 1: you know.

825
00:43:09,160 --> 00:43:13,279
Speaker 4: Like PO was actually pretty tight. Guys. I never had one,

826
00:43:13,400 --> 00:43:15,279
Speaker 4: but I when it came out, I was great.

827
00:43:16,520 --> 00:43:19,040
Speaker 2: The amount of COPS that I had on my DVR.

828
00:43:19,200 --> 00:43:22,799
Speaker 2: I am ashamed to say, because yeah, because I knew

829
00:43:22,840 --> 00:43:24,800
Speaker 2: there were some good ones there were like ones that

830
00:43:24,960 --> 00:43:27,120
Speaker 2: for me had such comedic value that I'm like, yo,

831
00:43:27,200 --> 00:43:29,640
Speaker 2: you have to watch this one. This person like was

832
00:43:29,719 --> 00:43:31,880
Speaker 2: drunk as hell, tried to run back to their apartment

833
00:43:31,920 --> 00:43:36,320
Speaker 2: and pretend to be sleep, and then their roommates like

834
00:43:37,040 --> 00:43:39,520
Speaker 2: the cops came and their roommate was like, oh, yeah,

835
00:43:39,600 --> 00:43:41,759
Speaker 2: she just came in and she was like the girls

836
00:43:41,800 --> 00:43:43,919
Speaker 2: again in her friend She's like, fool, why are you lying? Full,

837
00:43:44,080 --> 00:43:47,080
Speaker 2: And her roommate was like full, just hit her with

838
00:43:47,239 --> 00:43:49,839
Speaker 2: one fool like this yeah, and then.

839
00:43:49,760 --> 00:43:52,960
Speaker 1: The entire conversation of them just yeah, back and forth.

840
00:43:53,040 --> 00:43:54,760
Speaker 2: Yeah, but it's still a cab all day. But anyway,

841
00:43:55,000 --> 00:43:56,759
Speaker 2: but I think of it like this too, because like

842
00:43:56,880 --> 00:44:00,400
Speaker 2: with my son getting like you know, not definitely not

843
00:44:00,560 --> 00:44:02,920
Speaker 2: like to TV watching age, but I'm like part of

844
00:44:03,000 --> 00:44:05,560
Speaker 2: me wants to be like I don't want him to know,

845
00:44:05,920 --> 00:44:08,320
Speaker 2: like in the house that we have like on demand

846
00:44:08,560 --> 00:44:11,440
Speaker 2: kind of content, like I grew up with like having

847
00:44:11,520 --> 00:44:13,960
Speaker 2: like my four VHS tapes and I was at the

848
00:44:14,040 --> 00:44:16,640
Speaker 2: mercy of whatever the fuck was on because I feel

849
00:44:16,680 --> 00:44:19,400
Speaker 2: like with on demand, like it narrows the scope of

850
00:44:19,480 --> 00:44:21,680
Speaker 2: what you actually interact with if it's always going to

851
00:44:21,719 --> 00:44:23,600
Speaker 2: be like whatever you're interested in, and I don't think

852
00:44:23,640 --> 00:44:27,320
Speaker 2: that's bad. But I also developed like weird niche TV

853
00:44:27,480 --> 00:44:29,480
Speaker 2: interests because I was like, well, what else is on?

854
00:44:29,800 --> 00:44:32,040
Speaker 2: And that's why I started fucking with like the History Channel,

855
00:44:32,280 --> 00:44:34,360
Speaker 2: and I think eventually honestly led me to wanting to

856
00:44:34,400 --> 00:44:37,000
Speaker 2: be more interested in history, even though it wasn't even

857
00:44:37,040 --> 00:44:39,160
Speaker 2: what I was looking for was teenage mutant ninja turtles.

858
00:44:39,719 --> 00:44:43,120
Speaker 4: Well, I think there's I think there's I'm super fascinated

859
00:44:43,160 --> 00:44:45,160
Speaker 4: by that. Like, first of all, I do look, I

860
00:44:45,320 --> 00:44:48,040
Speaker 4: hate sitting there. I'll do this, especially when I'm alone.

861
00:44:48,040 --> 00:44:49,239
Speaker 4: I'll be like, all right, I'm just gonna find some

862
00:44:49,440 --> 00:44:51,200
Speaker 4: to watch, and it no, it takes me like fifteen

863
00:44:51,239 --> 00:44:52,839
Speaker 4: twenty minutes, and I'm just like fine, I just want

864
00:44:52,880 --> 00:44:54,959
Speaker 4: a documentary and just get all the documentaries in one place,

865
00:44:55,080 --> 00:44:56,960
Speaker 4: and I just end up watching more Daine. But like

866
00:44:58,280 --> 00:45:01,040
Speaker 4: you know, and then, but you know, there is something

867
00:45:01,160 --> 00:45:04,520
Speaker 4: nice to flipping and seeing if you want to stop,

868
00:45:04,960 --> 00:45:07,840
Speaker 4: and then being done with it. And but I agree

869
00:45:07,920 --> 00:45:10,960
Speaker 4: with you that like being able to have all of

870
00:45:11,000 --> 00:45:15,240
Speaker 4: the entertainment at your fingertips, there is no quality control

871
00:45:15,760 --> 00:45:19,719
Speaker 4: nor limit, especially if you're young. It is just oh

872
00:45:19,840 --> 00:45:23,200
Speaker 4: you it is endless. Yeah, there is no like bump

873
00:45:23,239 --> 00:45:26,320
Speaker 4: bottom bump bump bum sesame streets over, you know, and

874
00:45:26,360 --> 00:45:29,040
Speaker 4: you're like, fuck, now I gotta watch McNeil era news

875
00:45:29,120 --> 00:45:31,040
Speaker 4: like like which in my day and like all right,

876
00:45:31,120 --> 00:45:33,320
Speaker 4: there were like Saturday morning cartoons ends, you know, and

877
00:45:33,440 --> 00:45:34,880
Speaker 4: now suddenly I'm watching you know.

878
00:45:36,360 --> 00:45:39,200
Speaker 2: Or like Jerry Spring or like, yeah, golf would come

879
00:45:39,280 --> 00:45:40,440
Speaker 2: on suddenly like on a Saturday.

880
00:45:40,719 --> 00:45:42,279
Speaker 1: Yeah, ah damn.

881
00:45:42,520 --> 00:45:44,200
Speaker 4: Then that was your cue to get the fuck out

882
00:45:44,239 --> 00:45:46,400
Speaker 4: of there, go outside and play, yeah.

883
00:45:46,400 --> 00:45:49,160
Speaker 2: Because like, yeah, We've rang that one dry and now

884
00:45:49,719 --> 00:45:52,160
Speaker 2: uh on with my day. And I know I sound

885
00:45:52,239 --> 00:45:54,120
Speaker 2: like I'm getting out of my rocking chair to fucking

886
00:45:54,440 --> 00:45:56,680
Speaker 2: scream about this, but like at the same time, like

887
00:45:56,800 --> 00:45:59,840
Speaker 2: I I like, there is like to your point, I

888
00:46:00,040 --> 00:46:02,640
Speaker 2: think every person can identify this, especially when you're about

889
00:46:02,640 --> 00:46:05,040
Speaker 2: to sit down to eat, like my food will go

890
00:46:05,200 --> 00:46:08,760
Speaker 2: fucking cold, trying to figure out what I'm gonna stream

891
00:46:09,520 --> 00:46:12,200
Speaker 2: versus like in the in the olden days, you just

892
00:46:12,239 --> 00:46:14,160
Speaker 2: put I'm like man, Comedy Central. Man, I'm bang with

893
00:46:14,200 --> 00:46:15,600
Speaker 2: whatever's gonna be on Comedy Central.

894
00:46:16,239 --> 00:46:18,640
Speaker 4: So there's two types of people though, And my husband

895
00:46:18,760 --> 00:46:22,120
Speaker 4: Matt and I are the two times I am impatient

896
00:46:22,280 --> 00:46:26,520
Speaker 4: and I don't care about watching anything enough. I am hungry,

897
00:46:27,120 --> 00:46:31,160
Speaker 4: so I will literally finish my meal or even minutes

898
00:46:31,200 --> 00:46:34,080
Speaker 4: into whatever we're watching, I will keep eating. Matt is

899
00:46:34,400 --> 00:46:38,279
Speaker 4: the most precious ass cannot he will stop chewing when

900
00:46:38,280 --> 00:46:40,960
Speaker 4: the commercials come on because it's not entertaining enough. She

901
00:46:41,000 --> 00:46:43,800
Speaker 4: will stop, and then as soon as the thing starts,

902
00:46:44,040 --> 00:46:47,480
Speaker 4: then he'll start going. It's like the most I don't know, Jack,

903
00:46:47,560 --> 00:46:49,480
Speaker 4: what are you are? You are you gonna wait to

904
00:46:49,520 --> 00:46:51,640
Speaker 4: find that they don't watch.

905
00:46:51,200 --> 00:46:53,680
Speaker 1: I don't watch things well, I try and like do one.

906
00:46:53,719 --> 00:46:58,279
Speaker 1: He's an adults. I'm so like I just I don't know.

907
00:46:58,440 --> 00:47:01,360
Speaker 1: I have this concept called mindfulness.

908
00:47:00,960 --> 00:47:02,879
Speaker 4: That I have in my life.

909
00:47:03,960 --> 00:47:04,520
Speaker 1: No, I don't know.

910
00:47:04,640 --> 00:47:06,480
Speaker 4: We just like you with your wife too.

911
00:47:08,719 --> 00:47:09,520
Speaker 1: You're a bit.

912
00:47:12,440 --> 00:47:12,640
Speaker 2: Chance.

913
00:47:16,360 --> 00:47:17,080
Speaker 1: Yeah, I don't.

914
00:47:17,480 --> 00:47:18,600
Speaker 2: I mean I don't know.

915
00:47:18,680 --> 00:47:20,920
Speaker 1: When sports is on, for sure, I will stand in

916
00:47:21,000 --> 00:47:24,920
Speaker 1: my kitchen stand and eat while watching the sports, like

917
00:47:25,120 --> 00:47:28,440
Speaker 1: in the other room. But that's what that's about it,

918
00:47:28,680 --> 00:47:32,319
Speaker 1: and that that really is sports is the only experience

919
00:47:32,680 --> 00:47:36,680
Speaker 1: that my kids have with you know, the randomness of

920
00:47:36,800 --> 00:47:40,160
Speaker 1: live TV. And they fucking look like my six year

921
00:47:40,200 --> 00:47:43,320
Speaker 1: old is obsessed with at like he just wants to

922
00:47:43,440 --> 00:47:46,440
Speaker 1: see the at like he runs in when there's a

923
00:47:46,560 --> 00:47:50,839
Speaker 1: time out, like he runs in and watches. He's like, Yeah,

924
00:47:50,920 --> 00:47:53,040
Speaker 1: he's the one who the other day asked me why

925
00:47:53,120 --> 00:47:58,320
Speaker 1: so many people love sky Rizzy the plaquesoriasis medication because

926
00:47:58,320 --> 00:48:02,359
Speaker 1: he keeps seeing ads for it and NBA basketball games. Dad,

927
00:48:02,400 --> 00:48:06,480
Speaker 1: why do so many people like sky Rosy? So yeah,

928
00:48:07,760 --> 00:48:09,879
Speaker 1: So I don't know. It's like they're they're weird. They're

929
00:48:10,000 --> 00:48:15,000
Speaker 1: like total total, like photographic negatives of what I was

930
00:48:15,120 --> 00:48:18,400
Speaker 1: like at their age. I also, I like, in talking

931
00:48:18,480 --> 00:48:21,480
Speaker 1: and thinking about this story, it made me remember how

932
00:48:21,600 --> 00:48:26,800
Speaker 1: much TV edits of R and PG thirteen rated movies

933
00:48:27,080 --> 00:48:32,920
Speaker 1: were like a huge part of my childhood, like Jaws.

934
00:48:33,239 --> 00:48:35,560
Speaker 1: I saw Rambo when I was like five because it

935
00:48:35,640 --> 00:48:39,000
Speaker 1: was on TV or something, you know, but like it

936
00:48:39,160 --> 00:48:41,400
Speaker 1: wasn't like it had the good stuff cut out of it.

937
00:48:41,600 --> 00:48:44,720
Speaker 4: But fast is just what is fast?

938
00:48:44,880 --> 00:48:46,680
Speaker 2: It is an acronym, you know. Yeah, it's just a

939
00:48:47,080 --> 00:48:50,160
Speaker 2: free ad supported TV like so to B, like you know,

940
00:48:50,280 --> 00:48:52,840
Speaker 2: like the Fox on TV. Yeah, it's just but like

941
00:48:52,960 --> 00:48:56,840
Speaker 2: those yeah, but like the digital versions like about Amazon

942
00:48:56,920 --> 00:48:57,560
Speaker 2: Prime or whatever.

943
00:48:57,719 --> 00:48:59,800
Speaker 4: To be right, and what's good about t B and

944
00:48:59,880 --> 00:49:01,600
Speaker 4: I we'll say, and like some of these other like

945
00:49:01,719 --> 00:49:05,800
Speaker 4: smaller companies, is that we're as like now Comedy Central

946
00:49:05,880 --> 00:49:07,879
Speaker 4: during the day or a lot of these networks, they're

947
00:49:08,080 --> 00:49:10,880
Speaker 4: just playing old the same movies over and over and

948
00:49:10,960 --> 00:49:13,279
Speaker 4: over again with tons of ads like six minutes of

949
00:49:13,320 --> 00:49:15,799
Speaker 4: ads or something. Yeah, and they all of course are

950
00:49:16,000 --> 00:49:19,520
Speaker 4: like timed and whatnot. But like my friend's documentary was

951
00:49:19,560 --> 00:49:22,560
Speaker 4: on two right, like people like really good Ship again

952
00:49:22,719 --> 00:49:25,320
Speaker 4: other shows, Yeah, that got de I like watching docs

953
00:49:25,400 --> 00:49:27,240
Speaker 4: and like often you're just not gonna find some good stuff.

954
00:49:27,239 --> 00:49:29,080
Speaker 4: And so some things that might have been on Vice

955
00:49:29,200 --> 00:49:31,759
Speaker 4: or might have been you know, an international thing like

956
00:49:31,880 --> 00:49:34,480
Speaker 4: those are going to be on the streaming services or

957
00:49:34,719 --> 00:49:36,759
Speaker 4: not fast services, which I like.

958
00:49:37,360 --> 00:49:39,319
Speaker 2: Yeah, I love that they have to call it that though,

959
00:49:39,400 --> 00:49:41,080
Speaker 2: to act like there's this there's a new kid in

960
00:49:41,200 --> 00:49:45,960
Speaker 2: something like tech. Tech world always needs something new. It's

961
00:49:46,000 --> 00:49:49,640
Speaker 2: like now, man, fucking TV channels. Yep, that's what we're

962
00:49:49,680 --> 00:49:51,919
Speaker 2: talking about. You know what that is, y'all are y'all

963
00:49:51,960 --> 00:49:55,319
Speaker 2: were there? Y'all? Were there? TV channels is what we're

964
00:49:55,360 --> 00:49:56,239
Speaker 2: talking about. That's it.

965
00:49:56,320 --> 00:50:00,239
Speaker 1: Oh, you're talking about fast just now technology It is

966
00:50:00,360 --> 00:50:04,640
Speaker 1: too fast and too furious shit and watch there would

967
00:50:04,680 --> 00:50:06,759
Speaker 1: be a Fast and Furious TV channel, probably because they

968
00:50:06,800 --> 00:50:08,719
Speaker 1: got any movies to get you through the day and

969
00:50:08,800 --> 00:50:12,400
Speaker 1: someone haven't seen a single one, a single Fast.

970
00:50:12,880 --> 00:50:15,520
Speaker 4: I know I haven't seen a single Fast and I

971
00:50:15,640 --> 00:50:17,440
Speaker 4: have only seen maybe one Marvel.

972
00:50:18,840 --> 00:50:21,000
Speaker 2: Good for you, I mean you're an aanther.

973
00:50:21,280 --> 00:50:23,600
Speaker 1: Also you're an adult, so congratulations.

974
00:50:23,840 --> 00:50:26,520
Speaker 2: Yeah. Wait, so what was the experience like like when

975
00:50:26,560 --> 00:50:28,440
Speaker 2: the first Fast and Furious came out? What were you doing?

976
00:50:28,840 --> 00:50:30,600
Speaker 2: What was that like ninety nine when the first one

977
00:50:30,680 --> 00:50:30,960
Speaker 2: came out?

978
00:50:31,600 --> 00:50:31,719
Speaker 1: Uh?

979
00:50:31,960 --> 00:50:34,440
Speaker 4: Yeah, about to go to no. I was about to

980
00:50:34,520 --> 00:50:35,520
Speaker 4: graduate high school.

981
00:50:36,080 --> 00:50:38,520
Speaker 2: Yeah, okay, but I'm not going to going on.

982
00:50:40,360 --> 00:50:40,520
Speaker 1: One.

983
00:50:40,600 --> 00:50:42,800
Speaker 4: I mean nine to eleven happened, so sorry. I was

984
00:50:42,840 --> 00:50:44,880
Speaker 4: busy protesting war and ship.

985
00:50:46,480 --> 00:50:48,240
Speaker 2: But yeah, get in your fucking meetings.

986
00:50:48,560 --> 00:50:51,840
Speaker 1: I was protesting against nine to eleven. I was like, I,

987
00:50:52,520 --> 00:50:55,520
Speaker 1: for one, not a fan, not agree.

988
00:50:56,880 --> 00:50:57,400
Speaker 4: Stars.

989
00:50:57,960 --> 00:51:00,400
Speaker 2: Yeah, I think I was watching Loose Chain on a

990
00:51:00,480 --> 00:51:01,960
Speaker 2: loop into there you go to.

991
00:51:05,280 --> 00:51:08,359
Speaker 1: All right, we should talk about the other new kid

992
00:51:08,440 --> 00:51:12,120
Speaker 1: in town, and that is miss Ai, a new beauty

993
00:51:12,200 --> 00:51:17,000
Speaker 1: pageant that is just as dystopian as it sounds. For

994
00:51:17,120 --> 00:51:21,360
Speaker 1: anyone who ever complained that the Terminator franchise didn't feature

995
00:51:21,480 --> 00:51:26,560
Speaker 1: enough swim swimsuit competitions that we now have Miss Ai,

996
00:51:26,840 --> 00:51:30,840
Speaker 1: the world's first AI beauty pageant, where in AI generated

997
00:51:30,920 --> 00:51:34,000
Speaker 1: models will be judged on looks, poison, answers to questions,

998
00:51:34,080 --> 00:51:38,560
Speaker 1: and also points for technical skills and social media reach.

999
00:51:39,600 --> 00:51:44,439
Speaker 1: So it almost sounds like battle bots for like AI programmers. Yes,

1000
00:51:44,920 --> 00:51:48,400
Speaker 1: trying to create like nerves. Yeah, trying to create like

1001
00:51:48,840 --> 00:51:53,080
Speaker 1: a the best battle bot to like get nerds to

1002
00:51:53,280 --> 00:51:55,120
Speaker 1: jack off to and like pay them money.

1003
00:51:55,320 --> 00:52:00,440
Speaker 4: Is this is what's so wild about this, Like no

1004
00:52:00,840 --> 00:52:04,320
Speaker 4: industry is safe, not even the industries that are not

1005
00:52:04,520 --> 00:52:09,080
Speaker 4: actually industries, like being a fucking influencer, right, you know?

1006
00:52:09,680 --> 00:52:15,239
Speaker 4: And I look, I was just randomly on Instagram and

1007
00:52:15,360 --> 00:52:19,160
Speaker 4: I saw this blonde chick in like a runner's outfit.

1008
00:52:19,400 --> 00:52:22,600
Speaker 4: Who is this chick? It's like, I love I don't know,

1009
00:52:22,640 --> 00:52:25,160
Speaker 4: I think runners have like runners are the best bodies.

1010
00:52:25,200 --> 00:52:27,920
Speaker 4: Let's be real. It's like, Okay, she's gorgeous, she must

1011
00:52:27,960 --> 00:52:30,960
Speaker 4: be like some kind of Olympian. Nope, she is an

1012
00:52:31,080 --> 00:52:35,719
Speaker 4: AI generated model who has more followers than me and

1013
00:52:36,160 --> 00:52:40,640
Speaker 4: real likely real people in her comments going like oh

1014
00:52:40,680 --> 00:52:44,680
Speaker 4: you're so beautiful, you really I love this one. Ooh

1015
00:52:44,880 --> 00:52:45,719
Speaker 4: night on the town.

1016
00:52:46,280 --> 00:52:48,120
Speaker 1: I would like you to take I would like to

1017
00:52:48,160 --> 00:52:50,680
Speaker 1: take you to Dubai and show you a real good time.

1018
00:52:50,880 --> 00:52:51,040
Speaker 2: Yeah.

1019
00:52:51,280 --> 00:52:56,160
Speaker 4: The question is who is following and who is commenting,

1020
00:52:56,600 --> 00:53:00,480
Speaker 4: and who is listening to these AI models, and that

1021
00:53:00,640 --> 00:53:02,200
Speaker 4: is men and as men.

1022
00:53:02,600 --> 00:53:06,000
Speaker 1: What I just need to ask you, Come on, how men?

1023
00:53:06,160 --> 00:53:07,839
Speaker 4: Why are you the way you are?

1024
00:53:08,800 --> 00:53:09,160
Speaker 1: Jesus?

1025
00:53:09,320 --> 00:53:16,920
Speaker 2: Because because we're horny? Fuck zombie cicadas, that's right.

1026
00:53:17,320 --> 00:53:20,759
Speaker 1: They I think I think there's a mold that has

1027
00:53:20,800 --> 00:53:25,960
Speaker 1: attacked us and created an amphetamine that replaced.

1028
00:53:25,920 --> 00:53:29,759
Speaker 2: Our patriarchy where you you don't need to develop any

1029
00:53:29,800 --> 00:53:32,640
Speaker 2: other interests except to demonstrate your horniness on a very

1030
00:53:32,680 --> 00:53:33,520
Speaker 2: consistent level.

1031
00:53:34,000 --> 00:53:36,000
Speaker 4: Like that's gotta that's gotta be kind of tight.

1032
00:53:37,280 --> 00:53:39,560
Speaker 2: Like that is what's so this story. When I first

1033
00:53:39,719 --> 00:53:40,840
Speaker 2: I was just like whatever.

1034
00:53:40,760 --> 00:53:44,040
Speaker 1: Like funk off, Like but you know, like another AI story.

1035
00:53:44,120 --> 00:53:46,359
Speaker 1: This is just like it feels like there's a new

1036
00:53:46,520 --> 00:53:51,080
Speaker 1: story that's just like the latest AI a new movie

1037
00:53:51,200 --> 00:53:54,719
Speaker 1: someone's releasing a movie starring an AI actor, and I'm like, yeah,

1038
00:53:54,760 --> 00:53:58,960
Speaker 1: it'll suck, and like let's move along. But this also

1039
00:53:59,160 --> 00:54:03,520
Speaker 1: like the place that we're actually seeing AI replace people

1040
00:54:04,320 --> 00:54:10,359
Speaker 1: is in like models and influencers, Like there's a whole competitor.

1041
00:54:10,560 --> 00:54:14,160
Speaker 1: So this is being put on. This beauty pageant is

1042
00:54:14,239 --> 00:54:18,600
Speaker 1: being put on by a company that is a competitor

1043
00:54:18,719 --> 00:54:23,440
Speaker 1: to only fans, but that allows people like Ai'm almost

1044
00:54:23,760 --> 00:54:26,440
Speaker 1: to come through and like has had a ton of

1045
00:54:26,560 --> 00:54:30,120
Speaker 1: success doing that. So basically it's the same thing like

1046
00:54:30,200 --> 00:54:33,000
Speaker 1: we we've talked about, like when in looking back at

1047
00:54:33,000 --> 00:54:35,080
Speaker 1: the early days of the Internet, like a lot of

1048
00:54:35,280 --> 00:54:41,320
Speaker 1: the first websites, first communities first, like you know, advances

1049
00:54:41,400 --> 00:54:45,320
Speaker 1: in streaming technology was all around porn, you know, and

1050
00:54:45,440 --> 00:54:50,400
Speaker 1: that like tends to be pornography, and you know, things

1051
00:54:51,000 --> 00:54:54,920
Speaker 1: like that tend to be at the forefront of technological advances.

1052
00:54:55,239 --> 00:54:58,000
Speaker 2: Like the reason we don't have HD DVD and we

1053
00:54:58,160 --> 00:55:02,960
Speaker 2: have Blu ray is because of the from Yeah, and

1054
00:55:03,360 --> 00:55:04,080
Speaker 2: this is this.

1055
00:55:04,600 --> 00:55:07,880
Speaker 1: It feels like that is where AI is like first

1056
00:55:08,080 --> 00:55:12,719
Speaker 1: making its inroads of like actually convincing people these are

1057
00:55:12,800 --> 00:55:14,759
Speaker 1: real people. So in the world of modeling, like the

1058
00:55:14,840 --> 00:55:18,720
Speaker 1: world I hadn't, like they're people are already like losing

1059
00:55:19,280 --> 00:55:22,520
Speaker 1: tons of jobs in the world of modeling, Like models

1060
00:55:22,600 --> 00:55:27,919
Speaker 1: report like seeing themselves in an ad, but like they've

1061
00:55:28,480 --> 00:55:31,839
Speaker 1: pasted somebody else's nose in there, so that like they're

1062
00:55:31,880 --> 00:55:35,239
Speaker 1: a blend of other people's face like there and like

1063
00:55:35,320 --> 00:55:39,880
Speaker 1: another person's appearance, or you know, there's just one wild

1064
00:55:40,000 --> 00:55:44,640
Speaker 1: story where an influencer was on her honeymoon and like

1065
00:55:44,760 --> 00:55:47,239
Speaker 1: started getting messages being like, yo, you're in this like

1066
00:55:47,520 --> 00:55:52,120
Speaker 1: wild ed ad talking about how your partner has a

1067
00:55:52,160 --> 00:55:55,880
Speaker 1: small has a small member and like has been struggling

1068
00:55:56,000 --> 00:55:59,960
Speaker 1: with ed for years and it was yeah, like somebody

1069
00:56:00,080 --> 00:56:02,480
Speaker 1: had like kind of taken her likeness and you know,

1070
00:56:02,680 --> 00:56:07,800
Speaker 1: blended it enough to have plausible deniability. And yeah, it's no.

1071
00:56:08,320 --> 00:56:12,520
Speaker 4: This has happened so fast and exactly and we there

1072
00:56:12,560 --> 00:56:15,640
Speaker 4: are like no breaks on it, and it's terrifying and

1073
00:56:15,719 --> 00:56:19,680
Speaker 4: it it will be replacing I mean a lot of

1074
00:56:19,760 --> 00:56:21,360
Speaker 4: our jobs. I mean, this is the whole thing. It's like,

1075
00:56:21,800 --> 00:56:24,839
Speaker 4: how many hours of content have you guys put out there?

1076
00:56:25,280 --> 00:56:27,640
Speaker 2: How would have been seven thousand models right now?

1077
00:56:28,320 --> 00:56:30,560
Speaker 4: You could just be listening and it is right listening

1078
00:56:30,640 --> 00:56:33,040
Speaker 4: and then spit out an episode based on I mean,

1079
00:56:33,080 --> 00:56:34,560
Speaker 4: it wouldn't be a good episode.

1080
00:56:34,680 --> 00:56:35,439
Speaker 1: Yeah, it would suck.

1081
00:56:35,480 --> 00:56:37,960
Speaker 4: They're trying to be like when you guys both had

1082
00:56:37,960 --> 00:56:41,920
Speaker 4: a hangover, Like you know, Jacket a newborn, you.

1083
00:56:41,960 --> 00:56:44,000
Speaker 1: Know, was be that kind of hangover.

1084
00:56:44,120 --> 00:56:47,040
Speaker 2: Yeah, when I smoke the chronic It gets me so

1085
00:56:47,320 --> 00:56:50,800
Speaker 2: turned up. Bro it is.

1086
00:56:52,440 --> 00:56:55,720
Speaker 1: But you know what, like listeners would know the difference,

1087
00:56:55,880 --> 00:56:59,880
Speaker 1: but like executives might not know the difference. Yeah, executives

1088
00:56:59,880 --> 00:57:02,040
Speaker 1: are gonna be like, oh are you kidney do this

1089
00:57:02,160 --> 00:57:02,520
Speaker 1: is sick.

1090
00:57:02,640 --> 00:57:04,080
Speaker 4: It's content at the end of the day. I mean,

1091
00:57:04,120 --> 00:57:10,280
Speaker 4: but I do think, especially especially modeling, that is so sinister.

1092
00:57:11,239 --> 00:57:13,480
Speaker 2: Especially when they can do something like, oh, yeah we

1093
00:57:13,600 --> 00:57:15,600
Speaker 2: need to we need to put like a model of

1094
00:57:15,680 --> 00:57:17,880
Speaker 2: color here. Yeah, yeah, let me cook one up. Boom,

1095
00:57:18,080 --> 00:57:20,440
Speaker 2: there it is you. I guess what we don't need.

1096
00:57:20,640 --> 00:57:23,040
Speaker 2: We don't need hair and makeup. We don't need photographers.

1097
00:57:23,160 --> 00:57:25,480
Speaker 2: We don't need the editing of the photos after that.

1098
00:57:25,800 --> 00:57:27,920
Speaker 4: We could we could, we could just well that's so interesting.

1099
00:57:27,960 --> 00:57:29,720
Speaker 4: I mean it's like we should have in the writing,

1100
00:57:29,840 --> 00:57:32,680
Speaker 4: damn it, you know. But like, yeah, even even like

1101
00:57:32,960 --> 00:57:36,560
Speaker 4: if you've ever seen like photo retouching, right, photo retouching

1102
00:57:36,640 --> 00:57:41,640
Speaker 4: ultimately actually kind of like kills the photography industry more

1103
00:57:41,680 --> 00:57:45,720
Speaker 4: broadly because when you create a beautiful like it's lighting, right,

1104
00:57:45,760 --> 00:57:47,880
Speaker 4: It's all about lighting, It's all about everything in it,

1105
00:57:48,280 --> 00:57:51,240
Speaker 4: and like, but if you just retouch, you don't need

1106
00:57:51,280 --> 00:57:54,840
Speaker 4: any of that good lighting. Yeah, just fucking enough.

1107
00:57:54,680 --> 00:57:56,680
Speaker 2: Information and pixels in here, and I can make I

1108
00:57:56,720 --> 00:57:57,360
Speaker 2: can manipulate that.

1109
00:57:58,360 --> 00:58:01,720
Speaker 4: Yeah, absolutely so, It's but it's a I don't even

1110
00:58:01,720 --> 00:58:04,480
Speaker 4: know what to say anymore. I am like terrified and upset,

1111
00:58:04,520 --> 00:58:06,960
Speaker 4: and I'm just like, when do we get universal basic income?

1112
00:58:07,160 --> 00:58:07,280
Speaker 2: Right?

1113
00:58:07,760 --> 00:58:10,000
Speaker 4: And or when is this illegal to do?

1114
00:58:10,680 --> 00:58:12,880
Speaker 2: Right? I feel like or like there needs to be

1115
00:58:12,920 --> 00:58:17,120
Speaker 2: a serious campaign where like influencers, like human influencers, begin

1116
00:58:17,240 --> 00:58:19,920
Speaker 2: to understand what's at stake for them. They're like, yo,

1117
00:58:20,040 --> 00:58:22,400
Speaker 2: all your shit could go away, yeah, because they will

1118
00:58:22,440 --> 00:58:24,920
Speaker 2: just cook up somebody that looks like you and then

1119
00:58:25,000 --> 00:58:27,600
Speaker 2: start promoting that account and then guess what you might

1120
00:58:27,640 --> 00:58:28,920
Speaker 2: be back it to whatever gig.

1121
00:58:29,120 --> 00:58:30,760
Speaker 4: This is the whole thing. It's like, I'm a comedian

1122
00:58:30,840 --> 00:58:34,760
Speaker 4: and all we're supposed to do is put out clips online, clips, clips, clips,

1123
00:58:34,880 --> 00:58:37,400
Speaker 4: non stuff. And when we waive all of our rights

1124
00:58:37,560 --> 00:58:40,760
Speaker 4: to those clips, when we post them on you know,

1125
00:58:40,960 --> 00:58:44,120
Speaker 4: on Instagram, on TikTok and whatnot, so and that shit

1126
00:58:44,240 --> 00:58:47,280
Speaker 4: is just feeding back into some sort of AI machine

1127
00:58:47,280 --> 00:58:49,760
Speaker 4: that people are like speculating on and getting rich off

1128
00:58:49,800 --> 00:58:53,200
Speaker 4: of to put us out of work. Like again, yes,

1129
00:58:53,360 --> 00:58:55,200
Speaker 4: the jokes will be shitty, but like so are all

1130
00:58:55,320 --> 00:58:57,320
Speaker 4: the clips that are online. They're just crowd work of

1131
00:58:57,400 --> 00:58:59,600
Speaker 4: people like h you fuck okay like that right?

1132
00:59:00,480 --> 00:59:03,439
Speaker 2: Right? Hey man? What's up? Man? What's your mix? Dude?

1133
00:59:03,800 --> 00:59:04,000
Speaker 1: Yeah?

1134
00:59:04,080 --> 00:59:04,720
Speaker 2: Invasion? Right?

1135
00:59:04,840 --> 00:59:05,000
Speaker 1: I know?

1136
00:59:06,880 --> 00:59:08,760
Speaker 2: Oh wait, I already know what you do for work. Bro,

1137
00:59:08,880 --> 00:59:13,280
Speaker 2: You're an engineer? Right, exactly, Bro, exactly what's your name? Yeah?

1138
00:59:13,720 --> 00:59:17,560
Speaker 1: Two of the judges of the contest are already AI

1139
00:59:17,760 --> 00:59:21,440
Speaker 1: model are like AI models that were like aren't real people.

1140
00:59:22,280 --> 00:59:26,080
Speaker 4: They they will be doing reality like you know, reality

1141
00:59:26,120 --> 00:59:29,040
Speaker 4: shows will be a bunch of AI like.

1142
00:59:30,480 --> 00:59:34,440
Speaker 2: Right, because like I remember, like when Mikayla first came out,

1143
00:59:34,560 --> 00:59:40,000
Speaker 2: you know Mikayla, that purely computer generated influencer like on Instagram. Yeah,

1144
00:59:40,120 --> 00:59:41,840
Speaker 2: like then that was sort of like the beginnings of it.

1145
00:59:41,880 --> 00:59:44,280
Speaker 2: And when that account got bigger and bigger, I was like,

1146
00:59:44,360 --> 00:59:46,680
Speaker 2: oh boy, like we really don't give a flight. People

1147
00:59:46,800 --> 00:59:48,840
Speaker 2: just want to see a robot drinking a green juice

1148
00:59:48,880 --> 00:59:52,760
Speaker 2: on fucking Melrose's. And like a lot of like people

1149
00:59:52,800 --> 00:59:55,000
Speaker 2: were like people were getting hired to write the content.

1150
00:59:55,240 --> 00:59:57,240
Speaker 2: We should just play this clip though of like one

1151
00:59:57,320 --> 01:00:00,880
Speaker 2: of the like one of the proponents and judges, human

1152
01:00:01,000 --> 01:00:03,800
Speaker 2: judges of this AI beauty pageant, because the way they're

1153
01:00:03,840 --> 01:00:07,000
Speaker 2: even trying to like frame this is just so fucking disturbing.

1154
01:00:07,320 --> 01:00:09,560
Speaker 4: Yeah, lady's good to see you both. Thanks for taking

1155
01:00:09,600 --> 01:00:09,880
Speaker 4: the time.

1156
01:00:10,160 --> 01:00:12,080
Speaker 3: Sally Anne, what do you say to people like the

1157
01:00:12,160 --> 01:00:15,800
Speaker 3: team think that it's a really bad idea. Well, I've

1158
01:00:15,840 --> 01:00:17,880
Speaker 3: been a pageant judge for the last ten years, and

1159
01:00:18,000 --> 01:00:20,360
Speaker 3: what I've learned is that modern day pageants are not

1160
01:00:20,440 --> 01:00:25,120
Speaker 3: about perfection. It's about diversity. It's about celebrating the whole woman.

1161
01:00:25,680 --> 01:00:29,120
Speaker 3: And what I'm looking for in this pageant is not perfection.

1162
01:00:29,280 --> 01:00:34,200
Speaker 3: This isn't a boobs and balm and seventies pin up pageant.

1163
01:00:34,240 --> 01:00:37,440
Speaker 3: We're looking for as real a person as we can

1164
01:00:37,520 --> 01:00:40,800
Speaker 3: possibly eh to be a wrong in the AI industry

1165
01:00:40,840 --> 01:00:43,479
Speaker 3: and to change that perception of AI women.

1166
01:00:44,840 --> 01:00:46,760
Speaker 4: That's even worse. That's like even worse.

1167
01:00:47,440 --> 01:00:51,200
Speaker 2: It's fucking sinister, it's even worse.

1168
01:00:51,280 --> 01:00:53,480
Speaker 4: I would rather you be like a tit's.

1169
01:00:53,240 --> 01:00:56,800
Speaker 2: On this one pretty good, you know, like metrical.

1170
01:00:57,120 --> 01:00:59,440
Speaker 4: Yeah exactly, rather than being like, I don't know. I

1171
01:00:59,440 --> 01:01:01,920
Speaker 4: thought other thought full answer to how to solve the

1172
01:01:02,000 --> 01:01:03,320
Speaker 4: Israel palacine question.

1173
01:01:03,400 --> 01:01:06,120
Speaker 2: Was like really spot on the right? No, right, Yeah,

1174
01:01:06,160 --> 01:01:08,320
Speaker 2: watch one of the contestants will be like an IDF

1175
01:01:08,520 --> 01:01:10,600
Speaker 2: model or something, and they're like, yeah, man, like we

1176
01:01:10,680 --> 01:01:12,840
Speaker 2: got all kinds of people coming. But the idea too

1177
01:01:12,920 --> 01:01:16,680
Speaker 2: that it's also meant to sort of obscure people's perception

1178
01:01:16,800 --> 01:01:17,120
Speaker 2: and be like.

1179
01:01:17,160 --> 01:01:19,480
Speaker 7: No, these are like women man that like we're trying

1180
01:01:19,600 --> 01:01:26,360
Speaker 7: to correct in, like they have truly computer generated, potentially

1181
01:01:26,480 --> 01:01:31,160
Speaker 7: unattainable characteristics physically, but we're gonna hold those up to

1182
01:01:31,240 --> 01:01:31,880
Speaker 7: say these are.

1183
01:01:31,960 --> 01:01:34,760
Speaker 2: Role models for the like, come on, miss me with that.

1184
01:01:35,240 --> 01:01:35,920
Speaker 2: That's not what this is.

1185
01:01:36,080 --> 01:01:39,840
Speaker 1: Yeah, the person that they're like debating in that clip,

1186
01:01:40,280 --> 01:01:43,280
Speaker 1: like who speaks after them like made a face that

1187
01:01:43,480 --> 01:01:46,000
Speaker 1: was just They're like okay, like.

1188
01:01:46,040 --> 01:01:49,400
Speaker 2: That, yeah, the whole woman. To celebrate the whole woman

1189
01:01:49,640 --> 01:01:52,520
Speaker 2: Jesus like fart noise.

1190
01:01:52,280 --> 01:01:54,360
Speaker 1: With their This is what I like to say.

1191
01:01:54,400 --> 01:01:55,720
Speaker 4: I mean I used to say, you know, I think

1192
01:01:56,280 --> 01:01:57,880
Speaker 4: I used to I was like working on a bit

1193
01:01:57,920 --> 01:02:00,160
Speaker 4: about this being but like the future they says going

1194
01:02:00,240 --> 01:02:03,080
Speaker 4: to be female, but we all know the future is robots,

1195
01:02:03,280 --> 01:02:07,240
Speaker 4: And here you have defly future is not female, it

1196
01:02:07,320 --> 01:02:10,440
Speaker 4: is robots. It is I hope they become sentient because

1197
01:02:10,480 --> 01:02:12,120
Speaker 4: then we can organize.

1198
01:02:12,400 --> 01:02:13,680
Speaker 2: Right right exactly.

1199
01:02:14,320 --> 01:02:16,200
Speaker 1: This is the first time that like one of these

1200
01:02:16,280 --> 01:02:18,320
Speaker 1: AI stories, I'm like, oh, yeah, they can do the

1201
01:02:18,440 --> 01:02:23,560
Speaker 1: thing they're saying this will do, which is full horny guys,

1202
01:02:23,840 --> 01:02:25,200
Speaker 1: who will pay that money?

1203
01:02:25,520 --> 01:02:29,240
Speaker 2: Can you make the most realistic video game characters that

1204
01:02:29,320 --> 01:02:30,720
Speaker 2: people want to fuck? Yeah?

1205
01:02:31,320 --> 01:02:34,880
Speaker 4: You guys know how actually like resource intensive AI is

1206
01:02:34,920 --> 01:02:38,959
Speaker 4: also because of the processors that they need fresh water

1207
01:02:41,120 --> 01:02:42,080
Speaker 4: water to cool it down.

1208
01:02:43,800 --> 01:02:47,000
Speaker 1: What the fuck you a future a dirty water and

1209
01:02:47,120 --> 01:02:50,560
Speaker 1: it actually has to be Fiji. It will freak out.

1210
01:02:51,000 --> 01:02:55,400
Speaker 2: Yeah, weird dark at all. It's like, look, you want

1211
01:02:55,440 --> 01:02:58,600
Speaker 2: to chase money through the crypto that's super resource intensive?

1212
01:02:58,720 --> 01:03:02,360
Speaker 2: Or do you want to fuck a fucking phantom person?

1213
01:03:02,480 --> 01:03:05,360
Speaker 1: And the lead Pelle Greene, one of the hosts or

1214
01:03:05,440 --> 01:03:09,240
Speaker 1: one of the judges of this contest, who is a

1215
01:03:09,640 --> 01:03:12,640
Speaker 1: made up robot and like they won't tell anyone who

1216
01:03:12,720 --> 01:03:13,520
Speaker 1: they're like program.

1217
01:03:13,720 --> 01:03:15,160
Speaker 4: The woman on the right is Maybee up.

1218
01:03:15,240 --> 01:03:18,680
Speaker 2: Yeah yeah, oh wait you mean yeah you're talking about

1219
01:03:18,680 --> 01:03:21,040
Speaker 2: in this yeah panel video people, No no, no.

1220
01:03:21,040 --> 01:03:23,280
Speaker 1: No, no, no no, not in the video and the

1221
01:03:23,520 --> 01:03:26,840
Speaker 1: panel below of different of the different hosts.

1222
01:03:26,640 --> 01:03:28,760
Speaker 2: Like the one with the pink hair and the one

1223
01:03:28,800 --> 01:03:30,840
Speaker 2: on the very right are both ah.

1224
01:03:30,880 --> 01:03:32,680
Speaker 4: The one on the left who kind of looks like

1225
01:03:32,760 --> 01:03:33,360
Speaker 4: Lady Gaga.

1226
01:03:33,840 --> 01:03:38,480
Speaker 2: Yeah, yeah, huh the pink hair. Yeah, different era though.

1227
01:03:38,400 --> 01:03:41,360
Speaker 1: Lady Gaga. I should sue all right, Francesca, what a

1228
01:03:41,400 --> 01:03:43,040
Speaker 1: pleasure having you as always on the show.

1229
01:03:43,320 --> 01:03:43,560
Speaker 4: Thank you?

1230
01:03:43,840 --> 01:03:47,040
Speaker 1: Where can people find you? Follow you? Hear you all that? Yeah?

1231
01:03:47,280 --> 01:03:49,880
Speaker 4: Listen to the Situation Podcast wherever you get your podcasts,

1232
01:03:50,080 --> 01:03:55,000
Speaker 4: or watch it live Tuesdays, Wednesdays and Fridays one pm Pacific,

1233
01:03:55,040 --> 01:03:59,240
Speaker 4: four pm Eastern on YouTube at Franny Fio. That's where

1234
01:03:59,680 --> 01:04:00,520
Speaker 4: And is.

1235
01:04:00,640 --> 01:04:03,240
Speaker 1: There a work of media that you've been enjoying?

1236
01:04:04,120 --> 01:04:09,600
Speaker 4: Just a tweet and it is my friend Raf Shimanov

1237
01:04:09,720 --> 01:04:15,600
Speaker 4: who tweeted quote tweeted Lahav Harkov, who is and is

1238
01:04:16,000 --> 01:04:18,800
Speaker 4: Let's see what is there in their bio senior political

1239
01:04:18,880 --> 01:04:26,600
Speaker 4: correspondent with Jewish insider and proud Jew and Zionists. Obviously

1240
01:04:26,720 --> 01:04:29,560
Speaker 4: not problem to be a proud Jew. But you know

1241
01:04:29,720 --> 01:04:32,920
Speaker 4: this is on a day that again Israel bombs eleven

1242
01:04:33,120 --> 01:04:35,400
Speaker 4: and kills eleven children on a playground. I love living

1243
01:04:35,480 --> 01:04:37,640
Speaker 4: in Israel. Not even hundreds of missiles can get us down.

1244
01:04:37,800 --> 01:04:39,160
Speaker 4: I took my kids out for an activity in a

1245
01:04:39,200 --> 01:04:42,280
Speaker 4: strip mall in Israeli's are full out force in for shopping,

1246
01:04:42,360 --> 01:04:45,000
Speaker 4: eating in restaurants. Kids are having fun like a regular afternoon.

1247
01:04:45,080 --> 01:04:48,240
Speaker 4: We love life. Israeli flag and he quote tweeted with

1248
01:04:48,440 --> 01:04:52,360
Speaker 4: just a still image from a zone of interest where

1249
01:04:52,560 --> 01:04:54,600
Speaker 4: all the kids are like in the pool and they're

1250
01:04:54,600 --> 01:04:56,800
Speaker 4: having a great time, and just on the other side

1251
01:04:56,800 --> 01:04:58,360
Speaker 4: of the wall is Auschwitz.

1252
01:04:58,720 --> 01:05:01,200
Speaker 2: Yeah yeah, I'm not enjoying it.

1253
01:05:01,320 --> 01:05:02,720
Speaker 4: I guess I just think it's pointed.

1254
01:05:03,080 --> 01:05:05,200
Speaker 2: No, it's pointed. Yeah, yeah yeah, And I think I

1255
01:05:05,240 --> 01:05:07,160
Speaker 2: saw below that tweet someone replied it's like also, we

1256
01:05:07,240 --> 01:05:11,200
Speaker 2: have the best memes, right, I'm like, oh my god, yah,

1257
01:05:11,520 --> 01:05:14,400
Speaker 2: please can we get me out of here?

1258
01:05:15,560 --> 01:05:19,440
Speaker 1: Yeah? Miles, where can people find you there? Work media

1259
01:05:19,480 --> 01:05:20,200
Speaker 1: you've been enjoying.

1260
01:05:20,960 --> 01:05:24,320
Speaker 2: Uh, you can find me on at based platforms at

1261
01:05:24,400 --> 01:05:26,480
Speaker 2: Miles of Gray. If you like the NBA, check out

1262
01:05:26,480 --> 01:05:28,520
Speaker 2: Miles and Jackot mad Boosties, and if you like ninety

1263
01:05:28,560 --> 01:05:30,760
Speaker 2: day Fiance check me out on four to twenty day

1264
01:05:30,840 --> 01:05:35,760
Speaker 2: Fiance with Sophia Alexandra. Don't have any works of social

1265
01:05:35,840 --> 01:05:38,520
Speaker 2: media that I like, because again, every time I turn

1266
01:05:38,640 --> 01:05:41,840
Speaker 2: that shit on, I'm like, you know, no, I'm good,

1267
01:05:41,880 --> 01:05:42,560
Speaker 2: I'm good. I'm good.

1268
01:05:42,800 --> 01:05:46,040
Speaker 1: But getting heard of Conan O'Brien, though, No, who's that,

1269
01:05:46,520 --> 01:05:48,840
Speaker 1: Oh man, he's this guy who is on Hot Ones.

1270
01:05:49,280 --> 01:05:53,160
Speaker 1: Oh my god, Hot What you don't know Hot Ones? Dude?

1271
01:05:53,320 --> 01:05:56,400
Speaker 2: No? Man, wait you I'm serious, bro, I told you

1272
01:05:56,520 --> 01:06:00,280
Speaker 2: I'm Do you know that video? I know that TV

1273
01:06:00,440 --> 01:06:01,280
Speaker 2: channels you know about?

1274
01:06:01,320 --> 01:06:03,800
Speaker 1: Okay, so it's like a TV channel, but it's like

1275
01:06:03,880 --> 01:06:05,560
Speaker 1: the only one you need to know about because they

1276
01:06:05,760 --> 01:06:10,200
Speaker 1: hot wings and answer point questions from oh hot talented

1277
01:06:10,360 --> 01:06:13,520
Speaker 1: interviewer Hot Ones. Yes, Hot Ones.

1278
01:06:13,720 --> 01:06:14,520
Speaker 2: I know that, I know that.

1279
01:06:14,640 --> 01:06:15,000
Speaker 1: I know that.

1280
01:06:15,200 --> 01:06:19,040
Speaker 2: Yep. Okay. Oh also that what you're enjoying is Conan's

1281
01:06:20,160 --> 01:06:23,000
Speaker 2: that that was an earlier one that I enjoyed was

1282
01:06:23,000 --> 01:06:25,320
Speaker 2: because Okay, I like this street from Josh Gondleman. At

1283
01:06:25,360 --> 01:06:28,120
Speaker 2: Josh Gondleman tweeted stan Van Guddy would crush in a

1284
01:06:28,200 --> 01:06:31,640
Speaker 2: local furniture store commercial and that's a very centric tweet,

1285
01:06:31,680 --> 01:06:32,800
Speaker 2: but he would kill it.

1286
01:06:33,120 --> 01:06:36,240
Speaker 1: Oh Man. Speaking of NBA centric tweets, I think you

1287
01:06:36,240 --> 01:06:40,520
Speaker 1: should zip Line tweeted a playoff cut of a bunch

1288
01:06:40,800 --> 01:06:43,840
Speaker 1: just like NBA basketball highlights, mixed with I think you

1289
01:06:43,880 --> 01:06:47,920
Speaker 1: should leave and Kim Robinson things that I really enjoyed,

1290
01:06:48,000 --> 01:06:50,200
Speaker 1: but that won't be my thing because you just kind

1291
01:06:50,200 --> 01:06:53,360
Speaker 1: of have to see it. The tweet I've been enjoying

1292
01:06:53,560 --> 01:06:58,320
Speaker 1: brothers have her at sixth grade. Forever tweeted, referring to

1293
01:06:58,640 --> 01:07:05,760
Speaker 1: non bares head stuff as well, turkey at the deli, Well,

1294
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Speaker 1: give me like a pound of the well Turkey pound

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01:07:10,960 --> 01:07:15,320
Speaker 1: of the well, ham get that well d You can

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Speaker 1: find me on Twitter at Jack Underscore Brian. You can

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Speaker 1: find us on Twitter at Daily Zeitgeist. We're at the

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Speaker 1: Daily Zeitgeist on Instagram. We have Facebook fan page on

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01:07:23,880 --> 01:07:26,360
Speaker 1: our website daily zeitgeist dot com where we post our

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Speaker 1: episodes and our footnote where we lay off to the

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Speaker 1: information that we talked about in today's episode, as well

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Speaker 1: as a song that we think you might enjoy.

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Speaker 2: Miles of song got man, I got a couple of

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Speaker 2: got a back catalog here to get through. This one

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Speaker 2: is going to be a track by the artist Remy

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Speaker 2: Wolf r E M I w LF. It's called Cinderella.

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Speaker 2: This track, you know it's got It's just got that

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Speaker 2: like youthful kind of revisiting soulful R and B kind

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Speaker 2: of funk track but with a modern twist, and I

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Speaker 2: think it's dope. For vocals are great and the instrumentation.

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Speaker 2: The production is fantastic, so I think you'll enjoy this.

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Speaker 2: This is Remy Wolf with the track of Cinderella.

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Speaker 1: All right, well, we will link off to that in

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Speaker 1: the footnotes. The Daily is a production of iHeart Radio.

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Speaker 1: For more podcasts from iHeartRadio, visit the iHeartRadio Wrap, Apple Podcaster,

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Speaker 1: wherever you get your podcast. That's going to do it

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Speaker 1: for us this morning, back this afternoon to tell you

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Speaker 1: what is trending, and we will talk to y'all then

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Speaker 1: bye bye bye