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Speaker 1: Hello the Internet, and welcome to Season to sixty six,

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Speaker 1: Episode three of DIR Daily Zi Guys Stay production of

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Speaker 1: I Heart Radio. This is a podcast where we take

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Speaker 1: a deep dive into America's shared consciousness. And it is Wednesday,

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Speaker 1: December seventh. That day lives in infamy. You already know

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Speaker 1: Nationally Illinois Day. Also a National Cotton Candy Day, Okay,

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Speaker 1: Illinois cotton candy. Yeah, and Pearl Harbor if you don't

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Speaker 1: know the quotos going off of anyway, Yeah, so those

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Speaker 1: are the three power tree on the day on December seven.

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Speaker 1: Kind of ballsy of cotton candy to be like, I

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Speaker 1: think we got this one. I think once we step

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Speaker 1: in Pearl Harbor, the Pearl Harbor folks are gonna take

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Speaker 1: a take a back seat. Yeah. I wonder if it

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Speaker 1: was even like invented on the seven now. I think

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Speaker 1: they just pulled up and we're like, yeah, that's probably open.

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Speaker 1: Looks open. I'm not saying any other day anyways. My

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Speaker 1: name is Jack O'Brien a k take me down to

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Speaker 1: the Roku City with the blimp saw Free and the

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Speaker 1: guests are Liddy, Oh take me Zine. Oh that's Kevin Maloney,

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Speaker 1: Axel Ross and I'm thrilled to be joined as always

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Speaker 1: by my co host, Mr Miles Gras. Miles Gray, we

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Speaker 1: are young, we smoke green, then Grandma might be mean

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Speaker 1: talk does I see the gang? But feel all all right?

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Speaker 1: And that goes really long. Shout out to Locker RONI

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Speaker 1: that's a super grass track, all right, where there are

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Speaker 1: references to lambeau Jack style, mountain dew, the rest and

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Speaker 1: influence and more limp fries in my loves. So yeah,

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Speaker 1: shout out to you, Locker running Waiter, my sighs and

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Speaker 1: mountain dew and included in your loves. I think the

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Speaker 1: show's loves like the low the show. Yeah, I was

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Speaker 1: just checking. Yeah, I'm trying to get there, trying to

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Speaker 1: get to a place where my sighs are worthy of

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Speaker 1: your love, you know, one day this time, Miles, We're

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Speaker 1: thrilled to be joined in our third SIFA an award

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Speaker 1: winning reporter. This fifteen part history of Deputy Gangs inside

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Speaker 1: the l A County Sheriff's Department, A Tradition of violence,

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Speaker 1: is mandatory reading and is now mandatory listening as a

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Speaker 1: podcast on this network. Please welcome back to the show,

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Speaker 1: The Brilliant, The talented Cerise Castle. Thanks so much for

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Speaker 1: having me. Hey, thank welcome, thanks for coming back. Yeah,

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Speaker 1: how's How's life? How's life? Post podcast launched in election

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Speaker 1: Yeah good yeah post fienduevo. We have a whole new sheriff.

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Speaker 1: His name is Robert Luna. He was sworn in on Saturday,

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Speaker 1: and he sat down a shareff for the first time

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Speaker 1: on Monday at noon and yeah, we gotta be sheriff

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Speaker 1: mission comp I guess I can hang up my hat. Yeah, yeah,

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Speaker 1: he said. He seemed like he was like, and uh,

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Speaker 1: you know, I hope you will hold me to account.

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Speaker 1: When he was when you interviewed him, he was like,

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Speaker 1: I just plan on doing a good job and I

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Speaker 1: hope you hope me to account. And uh, he seems

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Speaker 1: he seems like he knows the eyes. The eyes are

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Speaker 1: on him, so that the gaze is upon the department.

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Speaker 1: For sure. I gotta say vien a Wuava like that.

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Speaker 1: His The footage of him watching himself lose was pretty satisfying.

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Speaker 1: I feel like we don't often get that front row seat,

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Speaker 1: but like somebody was kind enough to be taking video

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Speaker 1: of him as watching the results and doing like yeah.

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Speaker 1: Shout out to Spectrum News she got that incredible footage

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Speaker 1: of him just refreshing the page, refreshing the page and

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Speaker 1: looking cartoon like disbelief. Does Kate, does Kate go into that, like,

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Speaker 1: you know, quote unquote election I could have been a

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Speaker 1: victory party party, And like the shot I'm getting is

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Speaker 1: this dude looking at his phone and realizing it is

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Speaker 1: l Yeah, because that's that's how perfect the shot is,

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Speaker 1: because I think it was quite literally like a tonic

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Speaker 1: many of us needed in l A, who are like

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Speaker 1: this fucking guy out of here? And then he's just

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Speaker 1: like squinting, like taking glasses off others people's faces to

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Speaker 1: like look through them to see if Yeah, he was

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Speaker 1: fun to watch in in loss, in defeat. Yeah, absolutely.

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Speaker 1: All right, Well, congratulations to you on that defeat and

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Speaker 1: to all of us. We are going to 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: we're talking about today. We're gonna check him with a

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Speaker 1: Georgia runoff. We don't know the results as this recording,

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Speaker 1: but we're just gonna check in with how we got

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Speaker 1: into it, how we got here. The Republican grift is real.

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Speaker 1: It's some of these fundraising statistics of like where the

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Speaker 1: money was going two miles was pretty wild that you

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Speaker 1: dug up. So I want to talk about that. We

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Speaker 1: want to talk about the state of police saying in

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Speaker 1: human caging in this country, just you know, the reporting

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Speaker 1: you continue to do on your podcast series, and and

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Speaker 1: then just kind of relating it to stories we're seeing nationwide,

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Speaker 1: Houston's Harris County Jail dn YPD being allowed to arrest

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Speaker 1: and use force on someone giving themselves the like precog

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Speaker 1: abilities to be like they might become violent later, so

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Speaker 1: we were allowed to use force and just generally like

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Speaker 1: where all of this fits within the zeitgeist because I

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Speaker 1: don't know, We well, we'll we'll probably be digging into

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Speaker 1: it more. We we discovered John Burnfall's podcast Real Ones.

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Speaker 1: Are you Are you familiar with this? No? I'm not. Yeah.

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Speaker 1: Actor John burn Fall has this like copaganda podcast like

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Speaker 1: to make him feel like he's a he's a really

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Speaker 1: a real one. Should he have come on my podcast faint?

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Speaker 1: Because his podcast is like all you can lick boot

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Speaker 1: buffet and you're like, what is this dude saying? You like?

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Speaker 1: Realize how much he like wants to be a cop,

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Speaker 1: and it's so weird like where his empathy goes in

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Speaker 1: these interviews, but just generally like where the where you're

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Speaker 1: reporting fits within the like sort of shared consciousness, and

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Speaker 1: like movies, I think in inform a lot of what

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Speaker 1: people think police are like and what they do. And

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Speaker 1: even even like the anti hero movies like Den of

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Speaker 1: Thieves are just like so incredibly Thieves is about deputy gangs.

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Speaker 1: Did you yeah? Yeah, like fully, they like fully are like,

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Speaker 1: oh yes, the regulators, which is I think episode six, Yeah, yeah, exactly,

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Speaker 1: But they also like are doing it to get like

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Speaker 1: the biggest bad guy. Like they're like, we gotta, we

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Speaker 1: gotta to get the baddest bad guy. He's so bad.

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Speaker 1: They like basically re recreate kaiser Z's for this movie

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Speaker 1: and it and it feels like it's like the least

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Speaker 1: flattering mainstream depiction of police like in a movie really

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Speaker 1: and still you're like, oh that God's pretty cool. Yeah,

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Speaker 1: And still they're like a big nick that's like the

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Speaker 1: main character and they're like keep sucking rules. So I

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Speaker 1: just want to talk about that. We're gonna talk about

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Speaker 1: that AI selfie art app, which is the number one

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Speaker 1: app in the iOS app Store for photo and video,

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Speaker 1: and it has some troubling implications about like privacy, but

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Speaker 1: also about art and like how it's using other people's

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Speaker 1: art to create art or create create these images that

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Speaker 1: people are paying for, but you know, the artists aren't

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Speaker 1: getting any money. But before we get to any of

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Speaker 1: that ship series, we like to ask our guest, what

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Speaker 1: is something from your search history the Crown memes? What

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Speaker 1: season five? First? Season five? Yes? What is there any

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Speaker 1: I haven't seen it because everyone was like this one's

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Speaker 1: people have said it's the weakest one. Do you agree?

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Speaker 1: I don't. I haven't seen it yet. I'm not on

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Speaker 1: season six. Yeah, I'm still in season five. Wait, okay,

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Speaker 1: is that the one? Okay? I saw that one. That's

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Speaker 1: one where Charles and Diana Jess met, right, this is

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Speaker 1: the one where they have their separat or they separate

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Speaker 1: in the course of the season, they have the babies, trips,

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Speaker 1: Diana becomes a star, I go to South Africa. Yeah, yeah,

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Speaker 1: I remember that. Yeah, what kind of memes? What kind

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Speaker 1: of memes you're looking at? I was just like looking

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Speaker 1: for like any kind of meme, Like I've been watching

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Speaker 1: way too much of the Crown lately and been going

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Speaker 1: around my house calling my girlfriend her your royal highness

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Speaker 1: and just curt seeing a lot crown brains. Okay, yeah, wow,

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Speaker 1: I love when people get crown pilled like that. Yeah,

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Speaker 1: there's no turning back. It's funny because it's such a

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Speaker 1: like long detailed You're just staring at these people who

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Speaker 1: don't have shipped to do for the whole, but like

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Speaker 1: like they do, but you realize that it's a lot

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Speaker 1: of it's mostly meaningless stuff. It's like ceremonially they will

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Speaker 1: issue a statement. But yeah, I don't know. I've I

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Speaker 1: don't know if I'm gonna come back to season six

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Speaker 1: because the thing I've heard about season six is that

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Speaker 1: it's like even slower. They're like, oh, you thought the

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Speaker 1: previous ones ship didn't happen, We'll get ready to watch

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Speaker 1: it really not happen in season six. So I don't know.

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Speaker 1: I thought this was gonna be the one where like

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Speaker 1: it all falls apart and Diana passes from this planet,

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Speaker 1: and that that was the point where the Crown was

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Speaker 1: like at its least popular apparently, and that's like a

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Speaker 1: real crisis, And I guess that's where at the least right.

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Speaker 1: I can't believe it's bounced back though, Like people are like, yeah,

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Speaker 1: now now it's cool again. Anyways, what is something you

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Speaker 1: think is overrated? The monarch? No, I'm kidding, not on

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Speaker 1: my watch, on this podcast the holidays? Mm hmm, yeah,

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Speaker 1: go on, what what what about it for you? What

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Speaker 1: do you not? I'm just not a holiday girl. You're

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Speaker 1: not festive at all? You don't you never have like

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Speaker 1: a festive attitude. Really, I'll pretend for my friends and

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Speaker 1: loved ones. Oh no, so they'll never know that these

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Speaker 1: eyes that they're staring at that you are not having fun.

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Speaker 1: I guess they'll know. Now. Is there one holiday that

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Speaker 1: ever that speaks to you in any way? Like Halloween?

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Speaker 1: Say Halloween, but I feel like that's the one consistent

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Speaker 1: one for people who are like I don't really folk

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Speaker 1: with the holidays, and I'm like Halloween and they're like, well, yeah,

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Speaker 1: of course of course. But I didn't do Halloween this year.

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Speaker 1: I didn't dress up. I got on a plane and

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Speaker 1: I went to a journalism conference, okay, to the adult thing,

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Speaker 1: very adult. Yeah, yeah, I love I just I think

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Speaker 1: what it is for me, I lean like the one

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Speaker 1: time I like to get into the spirit, which really

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Speaker 1: just means like I will just lay around. I think

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Speaker 1: it's Christmas because it's like leftover momentum from my childhood

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Speaker 1: where that break like from between when you got out

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Speaker 1: of the school in December to the new year was

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Speaker 1: like the only time like I felt like my parents

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Speaker 1: would just let me like watch TV all day and

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Speaker 1: something about that, like I still hold highly in my mind.

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Speaker 1: I'm like, and that is a holiday because I hated

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Speaker 1: what my parents were, like, you were watching too much

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Speaker 1: Martin again art please. Yeah. I was gonna say you

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Speaker 1: should have worn worn a Halloween costume did on your flight,

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Speaker 1: but I feel like that could go. I thought about it.

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Speaker 1: I really did. I really thought about it. And there

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Speaker 1: were a lot of costumes at the airport. Let me

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Speaker 1: tell you the Burbank airport workers. They come to work

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Speaker 1: in costume and they are festive as fun and I

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Speaker 1: want true airport thank you. Yeah. I love that about that.

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Speaker 1: But then, so Christmas, are you like one of these

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Speaker 1: people like you start hearing Christmas like, oh my god,

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Speaker 1: turn it. Then, I'm not a scrooge. I'm not a scrooge.

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Speaker 1: I'm just not like a Chris. I'm just not like

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Speaker 1: an enthusiastic participant in the holidays, Like I will not

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Speaker 1: put on Christmas music of my own free will, but

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Speaker 1: if you turn it on, hey, I might even sing

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Speaker 1: along with you. Okay, I like that, Yeah I did.

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Speaker 1: I'm not huge, huge Christmas person. But when I the

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Speaker 1: first time I hear Mariah like, come on, I'm all that,

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Speaker 1: that just feels like I remember where I am. Like

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Speaker 1: here we are, changed my name to Karen Anderson went December.

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Speaker 1: It's man, because I'm fucking with it. The candles come out.

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Speaker 1: It's so weird. Again. I don't know why it does this.

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Speaker 1: I think it's all because I was able to watch

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Speaker 1: so much TV as a kid, and I'm investing back

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Speaker 1: in the community. I was feeling bad about how much

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Speaker 1: TV I love. My kids watch this weekend, and now

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Speaker 1: you're making me feel better. They'll they'll remember that is

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Speaker 1: their finest week they will. I don't know. I mean,

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Speaker 1: I'm again, I'm like so media brained from the nineties,

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Speaker 1: Like I truly I felt like I saw most things

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Speaker 1: that came on the television, her films between like and

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Speaker 1: so I hold those memories here. Yeah, what something you

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Speaker 1: think is underrated? Three? Something that I think is underrated

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Speaker 1: if voter participation. Yeah yeah, speaking of the runoff, yeah,

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Speaker 1: I mean more people should vote. I I can't say

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Speaker 1: that enough. Get out there, exercise. You're right. How did

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Speaker 1: you feel about all the local elections in l A.

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Speaker 1: I mean, I was, I was. It was nice to

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Speaker 1: see I mean, I yeah, I was happy with the

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Speaker 1: fact that we saw a lot of candidates that seemed

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Speaker 1: to be a direct response to a lot of the

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Speaker 1: corruption that we've seen at city Hall being voted in.

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Speaker 1: We saw Kenneth Bahia elected a city controller and his

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Speaker 1: campaign was essentially, hey, let's audit the police, and got

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Speaker 1: a resounding yes, let's do that, which is great to see.

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Speaker 1: I love to see people, you know, voting in accountability candidates,

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Speaker 1: and I'm excited to see what the city is going

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Speaker 1: to look like under this new younger progressive guard. Yeah. Yeah,

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Speaker 1: Kenneth may he had just took the charts straight to

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Speaker 1: the people, like put the put the information directly in

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Speaker 1: their veins. And I am still and this is something

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Speaker 1: I interested in hearing you talk about because it's we

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Speaker 1: Since the election, We've talked a lot on here about

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Speaker 1: the mainstream media and like the new York Times is

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Speaker 1: refusal to really like pick up that story that like

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Speaker 1: people when you give them an opportunity, when you give

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Speaker 1: them the information, are fans of progressive policy. But the

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Speaker 1: way the mainstream media has covered it, it's been more,

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Speaker 1: you know, anything but to that. And you, I know,

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Speaker 1: you've you know, talked before about the fact that this

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Speaker 1: incredible story that you've been reporting on for years now

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Speaker 1: has been what for a long time was just left

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Speaker 1: left alone by these these mainstream media outlets like what

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Speaker 1: what is your thought been on just sort of the

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Speaker 1: overall mainstream media allergy to covering progressive victories and progressive policy. Yeah,

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Speaker 1: I think that when you're talking about California, specifically Los Angeles,

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Speaker 1: the legacy media, which is solely concentrated in New York City,

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Speaker 1: doesn't really see Los Angeles, California something worth investing time

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Speaker 1: and resources in. So when they do do coverage, it's

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Speaker 1: in the style of sending an East Coast reporter to

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Speaker 1: parachute down into the West Coast and do these really

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Speaker 1: bizarre dispatches that you get got there. There are so

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Speaker 1: many of them, and like these are the articles that

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Speaker 1: you know, go viral on Twitter because they are just

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Speaker 1: so far departed from what the reality actually is on

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Speaker 1: the West Coast, and it's an issue I think that

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Speaker 1: you know, these media companies would do well to spend

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Speaker 1: significant time here in California and build up their newsrooms

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Speaker 1: here in Los Angeles, in San Francisco, across the state, really,

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Speaker 1: because this is one of the most densely populated states

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Speaker 1: in the United States. Policies in California are the policies

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Speaker 1: that go on to shape national policy. And yeah, I

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Speaker 1: genuinely think it's something that more people need to be

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Speaker 1: paying attention to and taking seriously. Yeah, I mean, why

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Speaker 1: send a reporter to the West Coast when they can

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Speaker 1: call up, you know, a public relations person at a

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Speaker 1: police department and be like, so, what's the situation. You

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Speaker 1: don't need it. I don't even need to ask anybody else.

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Speaker 1: It just feels like the tone of so many New

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Speaker 1: York Times articles, especially about California, that are just like,

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Speaker 1: according to these three cops, this is what the deal is.

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Speaker 1: Didn't speak to one person in the community or someone

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Speaker 1: who even had a counterpoint to any of that, And

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Speaker 1: that's reality. What's your best guess for Like, how the

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Speaker 1: how does bias like works itself into a newsroom like

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Speaker 1: this like sort of finance brained via where it's just like,

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Speaker 1: well if it doesn't have billions of dollars behind it,

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Speaker 1: does It's not like an actual adult like opinion. It

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Speaker 1: feels like something that we see repeatedly. But do you

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Speaker 1: think it's like is it like top down ownership level?

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Speaker 1: Is it that Like these reporters are all all have

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Speaker 1: these like Ivy League backgrounds, and all their friends like

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Speaker 1: work at venture capital firms and ship and they're just

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Speaker 1: like kind of um, you know, capitalism brained and like

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Speaker 1: can't can't like think their way outside of that or

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Speaker 1: what what what's your thought on? Like how that bias

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Speaker 1: is so resilient? Well, newsrooms are really homogeneous places. Newsrooms

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Speaker 1: are mostly mostly the people that work there are white men.

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Speaker 1: Most of them are of a certain age. Most of them,

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Speaker 1: you know, are of a certain financial background with you know,

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Speaker 1: lots of resources. They've gone to a lot of the

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Speaker 1: same goals and they know a lot of the same people,

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Speaker 1: and they don't really go outside of that circle really ever,

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Speaker 1: And when something from outside that sphere emerges and challenges

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Speaker 1: that point of view, it's immediately dismissed. As a falsehood

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Speaker 1: or some one off lunatic ranting about nonsense. And that's

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Speaker 1: that's a huge problem in the journalism industry. It's not

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Speaker 1: a secret that it's not a very diverse place to work,

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Speaker 1: and it's not a secret that it's a really hard

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Speaker 1: field to be in for people that are not white guys.

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Speaker 1: And I think that biases, you know, a product of

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Speaker 1: having such a homogeneous industry. And I think that you know,

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Speaker 1: there are some places that are charging head on into

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Speaker 1: that and challenging it and reworking their structures. Unfortunately, a

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Speaker 1: lot of places aren't, and they're really digging in their

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Speaker 1: heels to sort of prevent any of those changes from happening.

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Speaker 1: When you see that in actions like union busting, refusing

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Speaker 1: to recognize unions, that sort of thing, right totally, I

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Speaker 1: just think of like, I mean, even from your perspective,

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Speaker 1: right like, for the piece that you originally wrote, would

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Speaker 1: knock like that wouldn't have been in a newspaper of

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Speaker 1: like on a wide scale, or at least if it was,

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Speaker 1: it probably really sanitized to the point that you probably

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Speaker 1: wouldn't have been satisfied with putting your name on it.

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Speaker 1: And to see like a story like that just because

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Speaker 1: of the pure like the truth contained within it and

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Speaker 1: how much like people connect to that to see that

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Speaker 1: it like transcends even those normal obstacles. Stories like this have,

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Speaker 1: I think is a real testament to the like the

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Speaker 1: work you've done, uh, and then to see it also

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Speaker 1: continue like as a podcast to me is like that's

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Speaker 1: it's very heartening to see those kinds of things because

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Speaker 1: before a lot of people might just is these kinds

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Speaker 1: of topics as being something of interest to only like

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Speaker 1: activists and not the general public. And then just with

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Speaker 1: that reporting, I honestly feel like after the when the

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Speaker 1: when the piece came out, it became like sort of

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Speaker 1: shorthand in l A to just say google l A,

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Speaker 1: S D gangs, you know, and like I feel like

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Speaker 1: part of like all of that really helped raise awareness

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Speaker 1: to a level that probably wouldn't have been possible like

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Speaker 1: with these sort of like legacy media companies. And how

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Speaker 1: do you look at all that like because the work

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Speaker 1: you do is so important and you can only trust

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Speaker 1: you know, like the the like these newsrooms or edit

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Speaker 1: editors so much because you know how important these stories are.

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Speaker 1: How are you navigating that while also thinking like maybe

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Speaker 1: there's a possibility for like the l A Times to

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Speaker 1: be you know, like to be at the level that

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Speaker 1: people feel that it should be. But how how do

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Speaker 1: you look at it all? M hmm, Well, I mean

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Speaker 1: the story I did pitch my series to all of

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Speaker 1: the legacy outlets in Los Angeles, and it was rejected

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Speaker 1: by every single one for a lot of the reasons

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Speaker 1: that I was talking about in my previous answer. I

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Speaker 1: had several editors states in my face, you know, this

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Speaker 1: is a story that's happening in an area where we

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Speaker 1: don't have subscribers, so it's not worth us investing the

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Speaker 1: time and resources into the project, which is really unfortunate

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Speaker 1: because I don't think who is buying your paper should

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Speaker 1: determine what kind of story you do. It's the job

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Speaker 1: of a reporter to be the voice of accountability and

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Speaker 1: that's not something that is limited to who is, you know,

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Speaker 1: purchasing the product. That that would be corruption, which is

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Speaker 1: ostensibly what journalism is supposed to fight against. Right, So,

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Speaker 1: I mean, you know, it's it's nice that people are

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Speaker 1: interested in the story. Now, it's nice that legacy outlets

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Speaker 1: are talking about these issues. But again, I see the

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Speaker 1: terms that are being used are you know, they don't

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Speaker 1: call it a deputy gang. They say it's a subgroup.

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Speaker 1: They say it's a click, which is really sad. I

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Speaker 1: think that's really unfortunate. The Los Angeles Times in the

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Speaker 1: nineties was perfectly happy to use the word deputy gang,

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Speaker 1: but something happened and now they refused to print the phrase.

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Speaker 1: And it's really important to call these things that they

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Speaker 1: are and talk about these these issues in true and

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Speaker 1: certain terms, because you can't begin to reckon with the

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Speaker 1: issues if you can't call them what they are. Right, Yeah,

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Speaker 1: all right, let's uh, let's take a quick break. We'll

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Speaker 1: come back, we'll talk about the Georgia runoff, and we'll

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Speaker 1: talk more about policing in the US. And we're back,

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Speaker 1: and the Georgia runoff is in full swing as of

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Speaker 1: this recording, and it's I mean, it's look at so

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Speaker 1: the big headline that we're seeing everywhere is the like

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Speaker 1: the record breaking vote turnout, right early vote turnout, and

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Speaker 1: you know, just from people who are standing in the lines,

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Speaker 1: like it's it seems like a remarkably and by design

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Speaker 1: inefficient voting system. Just a lot of people voting, but

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Speaker 1: it seems like they're voting in response to the voter

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Speaker 1: suppression that that people were trying to enact. Yeah, so,

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Speaker 1: like after Trump was screaming about how the election was rigged,

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Speaker 1: a lot of state legislatures like just cooked up some

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Speaker 1: wacky voter suppression bills to be like and that's how

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Speaker 1: we're going to protect like using the voter integrity wave

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Speaker 1: to just bring in all this new voter suppression. Well,

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Speaker 1: that bill and Georgia shortened the period between the general

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Speaker 1: election and a runoff, so while also restricting the ability

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Speaker 1: to register new voters in that period, and a lot

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Speaker 1: of it seems to be like helping Democrats inadvertently, I think,

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Speaker 1: because the shortened time has led to a lot of

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Speaker 1: people just turning out in droves because of like just

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Speaker 1: generally the condensed time frame and previous elections, Democrats they

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Speaker 1: struggled in runoffs to motivate voters to return to the polls.

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Speaker 1: But again, this shortened period seems to have enabled like

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Speaker 1: Warnox campaign to sort of continue the momentum from November

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Speaker 1: while the Republicans were just trying to soothe their way

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Speaker 1: out of this and being like, uh, can we not

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Speaker 1: actually have early voting? The weekend before are like right

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Speaker 1: after Thanksgiving, have it start then that would be bad.

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Speaker 1: And then the judge was like, no, sorry, that that

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Speaker 1: doesn't make any legal sense. So the early voting, you know,

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Speaker 1: will commence then. And since then, we're just seeing like

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Speaker 1: Republicans slowly start to be like, uh yeah, maybe maybe

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Speaker 1: maybe this one isn't that winnable. But it's also worth mentioning.

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Speaker 1: The whole runoff system in Georgia was put in place

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Speaker 1: originally to dilute the voting power of black voters in

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Speaker 1: the state, because the idea being that working class black

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Speaker 1: voters in places like Fulton County they wouldn't necessarily be

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Speaker 1: able to go to vote again on a Tuesday, like,

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Speaker 1: since they have their own obligations. And so even despite

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Speaker 1: all of that, you're seeing a lot of this turnout.

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Speaker 1: Who knows where it's you know where it could lead.

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Speaker 1: I mean the poll said that warnock out of slim lead.

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Speaker 1: But you know what, we believe things when we see

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Speaker 1: them in this day and age. And while all this

427
00:26:27,800 --> 00:26:31,679
Speaker 1: is happening, like they're the Republicans are kind of retreating,

428
00:26:31,720 --> 00:26:35,639
Speaker 1: like barely anyone was campaigning for him, and he's hardly

429
00:26:35,640 --> 00:26:39,199
Speaker 1: done any real campaigning himself, and the email for the

430
00:26:39,200 --> 00:26:43,399
Speaker 1: election night gathering was described as an election night party,

431
00:26:43,480 --> 00:26:47,159
Speaker 1: when typically a confident campaign would call it a victory celebration.

432
00:26:47,240 --> 00:26:49,600
Speaker 1: They're like, joined us for the victory celebration. They said.

433
00:26:49,840 --> 00:26:51,720
Speaker 1: They might as well been like, yeah, yeah, we're gonna

434
00:26:51,720 --> 00:26:54,440
Speaker 1: have the game on on Tuesday if you want it.

435
00:26:54,600 --> 00:26:57,720
Speaker 1: Sort of like the energy from that email, so you know,

436
00:26:57,800 --> 00:27:00,159
Speaker 1: and while all and then again on top of this,

437
00:27:00,800 --> 00:27:04,879
Speaker 1: we have grifting like Trump and Senator Mike Lee in

438
00:27:05,000 --> 00:27:07,960
Speaker 1: Utah and other Republicans are just using this runoff to

439
00:27:08,000 --> 00:27:10,600
Speaker 1: fill their own coffers. They're sending emails talking about like

440
00:27:10,760 --> 00:27:13,520
Speaker 1: help us, Like Mike Lee sent one that said, quote,

441
00:27:13,680 --> 00:27:17,119
Speaker 1: Warnock has been drastically outraising herschel Walker and we have

442
00:27:17,280 --> 00:27:20,240
Speaker 1: to pick up the pace. Please rush a generous contribution

443
00:27:20,280 --> 00:27:22,400
Speaker 1: to help finish the job and pull off a huge

444
00:27:22,440 --> 00:27:28,880
Speaker 1: win for Herschel. The thing is right, exactly take him

445
00:27:28,880 --> 00:27:32,000
Speaker 1: out back, because this man is he doesn't even know

446
00:27:32,080 --> 00:27:35,080
Speaker 1: what office he's running for. Half the time. Senator Mike Lee,

447
00:27:35,119 --> 00:27:37,160
Speaker 1: if you look at the fine print, he was keeping

448
00:27:37,240 --> 00:27:42,160
Speaker 1: fifty of what was donated for himself. And then Trump

449
00:27:42,200 --> 00:27:46,080
Speaker 1: was also doing this. This dude was keeping nine of

450
00:27:46,119 --> 00:27:48,679
Speaker 1: what was donated for himself and the other ten percent

451
00:27:48,720 --> 00:27:51,440
Speaker 1: would go to herschel walker on and then even worse.

452
00:27:51,480 --> 00:27:54,320
Speaker 1: And then when people are like yo, n he slowly

453
00:27:54,359 --> 00:27:58,080
Speaker 1: went down like a split laughter called out then the

454
00:27:58,200 --> 00:28:01,719
Speaker 1: NISH the n r SC the now sational Republican senatorial campaign.

455
00:28:01,760 --> 00:28:03,480
Speaker 1: These are the people who are in charge of like

456
00:28:03,560 --> 00:28:06,879
Speaker 1: the Senate races for the Republican Party. They were keeping

457
00:28:07,200 --> 00:28:12,840
Speaker 1: ninety nine cents of every dollar donated. So it's just

458
00:28:12,920 --> 00:28:15,199
Speaker 1: like it's wild to see the levels of just like

459
00:28:15,240 --> 00:28:17,399
Speaker 1: all kinds, like just how race is playing out in

460
00:28:17,560 --> 00:28:19,879
Speaker 1: so many ways, like the runoff itself is like a

461
00:28:19,960 --> 00:28:22,719
Speaker 1: relic of like a tool of white supremacy, the Republicans

462
00:28:22,760 --> 00:28:26,400
Speaker 1: thinking that like black candidates are interchangeable to voters. Wow,

463
00:28:26,640 --> 00:28:29,240
Speaker 1: Like okay, the new like the lack of nuance or

464
00:28:29,600 --> 00:28:32,080
Speaker 1: just the ignorance there and then like the extraction of

465
00:28:32,200 --> 00:28:35,480
Speaker 1: capital like off the back of his campaign to benefit

466
00:28:35,560 --> 00:28:39,280
Speaker 1: mostly white Republicans, Like it has it all, folks, This

467
00:28:39,360 --> 00:28:42,200
Speaker 1: has it all. So we'll see. But I mean, the

468
00:28:42,720 --> 00:28:45,720
Speaker 1: Democrats already have their majority, are the way, but this

469
00:28:45,760 --> 00:28:50,240
Speaker 1: is this, it's something else to look at. Wow, cents

470
00:28:50,280 --> 00:28:54,320
Speaker 1: of every dollar that's that's wild. It's the whole I mean,

471
00:28:54,400 --> 00:28:57,360
Speaker 1: that whole apparatus, like all the all the fundraising that

472
00:28:57,360 --> 00:28:59,880
Speaker 1: Trump was doing in the aftermath of the last election

473
00:29:00,200 --> 00:29:03,640
Speaker 1: and like not doing anything with that money, like just

474
00:29:03,800 --> 00:29:07,960
Speaker 1: building up his own personal quote unquote war chest. It's

475
00:29:08,920 --> 00:29:11,160
Speaker 1: it feels like something people are like, that's crazy, and

476
00:29:11,200 --> 00:29:13,840
Speaker 1: then we just kind of moved on from But it's

477
00:29:13,880 --> 00:29:17,600
Speaker 1: straight up drifting the people that he's relying on to

478
00:29:17,640 --> 00:29:22,520
Speaker 1: come out and vote for votes. Well, four, I must say,

479
00:29:22,760 --> 00:29:25,160
Speaker 1: is the Republican Party just going to crash and burn

480
00:29:25,400 --> 00:29:29,760
Speaker 1: in a pile of grift? Yeah, I mean it feels

481
00:29:29,800 --> 00:29:33,280
Speaker 1: like it because like already there's in fighting because Marjorie

482
00:29:33,280 --> 00:29:36,840
Speaker 1: Taylor Green'd announced Nick Fuentez. So now like the super

483
00:29:36,920 --> 00:29:39,200
Speaker 1: far right that even had her back is now like,

484
00:29:39,200 --> 00:29:43,000
Speaker 1: oh she's a chump, right, like getting mad at her.

485
00:29:43,080 --> 00:29:46,360
Speaker 1: You're like, yo, you can't make this this whole group

486
00:29:46,360 --> 00:29:49,400
Speaker 1: of people happy like you Like, it's just it's it's

487
00:29:49,400 --> 00:29:51,800
Speaker 1: going to be interesting. I mean, I think that's why

488
00:29:51,920 --> 00:29:55,440
Speaker 1: it's interesting to also see de Santis's whole like strategy

489
00:29:55,480 --> 00:29:58,120
Speaker 1: in which his whole thing is like he's trying to

490
00:29:58,160 --> 00:30:00,200
Speaker 1: say as little as possible and trying to let Trump

491
00:30:00,280 --> 00:30:03,160
Speaker 1: do as much damage to himself before they start like

492
00:30:03,200 --> 00:30:06,720
Speaker 1: trading shots. And that's really the one I'm really willing

493
00:30:06,720 --> 00:30:08,680
Speaker 1: to see if Trump is able to just bully everyone

494
00:30:08,720 --> 00:30:13,560
Speaker 1: into being like, Okay, fine, you're the fucking nominee, like

495
00:30:13,800 --> 00:30:17,360
Speaker 1: you know, or if they're going to try and find

496
00:30:17,360 --> 00:30:20,280
Speaker 1: a different strategy. But I don't know that. The one

497
00:30:20,320 --> 00:30:26,000
Speaker 1: thing with the Republicans is they're not very elastic when

498
00:30:26,000 --> 00:30:29,840
Speaker 1: it comes to white supremacy and letting you know, the

499
00:30:29,920 --> 00:30:32,640
Speaker 1: Nazison to the party. They will stretch the ship out

500
00:30:32,680 --> 00:30:38,080
Speaker 1: of that direction. They can bend that way, sure, yes,

501
00:30:38,800 --> 00:30:40,760
Speaker 1: but that's one thing they can do. That's one thing

502
00:30:40,760 --> 00:30:43,720
Speaker 1: they do well that the Democrats don't do is they

503
00:30:43,720 --> 00:30:47,840
Speaker 1: can make people in their party fall into line, and

504
00:30:47,920 --> 00:30:52,080
Speaker 1: the Democrats allergic to that. The Democrats, I feel like,

505
00:30:52,240 --> 00:30:57,400
Speaker 1: aren't aligned with what the people who end up voting

506
00:30:57,440 --> 00:31:01,600
Speaker 1: for them actually want, whereas the republic Blicans they're like, yeah, yeah,

507
00:31:01,600 --> 00:31:03,200
Speaker 1: we just don't say that ship out loud, but we

508
00:31:03,280 --> 00:31:07,959
Speaker 1: actually want the thing that you are voting for and

509
00:31:08,000 --> 00:31:11,720
Speaker 1: that like you you want. Like ultimately, they're aligned with

510
00:31:11,840 --> 00:31:16,680
Speaker 1: their base and the Democrats are have to like remain

511
00:31:16,760 --> 00:31:19,040
Speaker 1: I don't know if it's even have to or want to,

512
00:31:19,240 --> 00:31:24,000
Speaker 1: but they're ultimately beholden to, you know, corporations, and so

513
00:31:24,320 --> 00:31:26,600
Speaker 1: you can't even really compare the two parties because the

514
00:31:26,640 --> 00:31:31,600
Speaker 1: Democrats are like a corporate machine that is just doing

515
00:31:31,600 --> 00:31:36,800
Speaker 1: the bidding of like unseen un speaking, like ultimately the

516
00:31:36,800 --> 00:31:40,840
Speaker 1: most powerful people in the party, and they have this

517
00:31:41,000 --> 00:31:44,560
Speaker 1: base that they have to like pretend like they're doing

518
00:31:44,560 --> 00:31:47,640
Speaker 1: the bidding up. Whereas the Republicans, I think, have the

519
00:31:47,640 --> 00:31:51,440
Speaker 1: the advantage of at least they the courage of their convictions,

520
00:31:51,520 --> 00:31:56,120
Speaker 1: which are you know, being being white supremacists exploiting like

521
00:31:56,160 --> 00:31:59,520
Speaker 1: white grievance politics. Yeah, yeah, because that is like the

522
00:31:59,600 --> 00:32:01,120
Speaker 1: thing that like, yo, look we all get it right,

523
00:32:01,160 --> 00:32:04,600
Speaker 1: we're mad at okay, we can move forward where yeah,

524
00:32:04,960 --> 00:32:07,880
Speaker 1: it's hard for Democrats, like we get it. Working people

525
00:32:08,000 --> 00:32:11,080
Speaker 1: need support and we need to stand by the unions

526
00:32:11,080 --> 00:32:13,840
Speaker 1: in order to fight their employers for a better wage

527
00:32:14,040 --> 00:32:20,680
Speaker 1: and cut to that rail world that the line go up. Yeah,

528
00:32:21,000 --> 00:32:24,440
Speaker 1: the ultimately they care about the line go up. I

529
00:32:24,720 --> 00:32:27,400
Speaker 1: wonder if like eventually they're like, look, y'all will try

530
00:32:27,480 --> 00:32:29,520
Speaker 1: and get you healthcare if you can figure out a

531
00:32:29,520 --> 00:32:31,440
Speaker 1: way for y'all to have health care and make line

532
00:32:31,480 --> 00:32:35,080
Speaker 1: go up. Right, If you can do that, then sure,

533
00:32:35,240 --> 00:32:38,320
Speaker 1: like we're all ears, but everything y'all are talking about

534
00:32:38,400 --> 00:32:40,960
Speaker 1: means line goes down for people we funk with, and

535
00:32:41,040 --> 00:32:47,000
Speaker 1: that's you know, yeah, alright, well, speaking of systemic problems,

536
00:32:47,560 --> 00:32:50,280
Speaker 1: want to kind of continue talking to you series about

537
00:32:50,320 --> 00:32:52,800
Speaker 1: just you know, you've been reporting three years now of

538
00:32:53,360 --> 00:32:58,880
Speaker 1: just this systemic problem of unaccountable police violence in Los

539
00:32:58,880 --> 00:33:04,680
Speaker 1: Angeles and the similarity of the stories is shocking, like

540
00:33:04,800 --> 00:33:11,120
Speaker 1: each one is this cataclysmic failure of human rights and

541
00:33:11,360 --> 00:33:15,400
Speaker 1: of just you know, any sort of anything that anyone

542
00:33:15,440 --> 00:33:18,120
Speaker 1: would think of as a civilized family. Like it's just

543
00:33:18,360 --> 00:33:21,760
Speaker 1: but over and over again, you know, the police or

544
00:33:21,800 --> 00:33:25,880
Speaker 1: the sheriff's shoot or maim someone many times in front

545
00:33:25,880 --> 00:33:29,280
Speaker 1: of their family. The person in questions often you know,

546
00:33:29,360 --> 00:33:32,320
Speaker 1: having a mental health crisis or doing some non violent

547
00:33:32,400 --> 00:33:36,960
Speaker 1: offense like dealing marijuana. There's also, you know, an epidemic

548
00:33:37,040 --> 00:33:39,800
Speaker 1: that you highlight of, like brutal beating of people in prison,

549
00:33:40,200 --> 00:33:43,640
Speaker 1: like to death or near death while while handcuffed, and

550
00:33:44,200 --> 00:33:46,840
Speaker 1: if the person isn't immediately killed, they often leave them

551
00:33:46,880 --> 00:33:50,080
Speaker 1: to die with no medical attention. Oftentimes again in front

552
00:33:50,080 --> 00:33:53,280
Speaker 1: of their loved ones, and then the officers make up

553
00:33:53,320 --> 00:33:56,960
Speaker 1: a lie, not like many times, not even really attempting

554
00:33:57,000 --> 00:33:59,680
Speaker 1: to make it believable, Like they'll plan a gun that

555
00:33:59,760 --> 00:34:04,440
Speaker 1: doesn't even match their report, yeah, or they won't. It'll

556
00:34:04,440 --> 00:34:07,680
Speaker 1: there was a ghost gun, yeah, but they'll be like, yeah,

557
00:34:07,720 --> 00:34:09,920
Speaker 1: it was a black gun. And then the gun they

558
00:34:09,960 --> 00:34:12,719
Speaker 1: planned as a chrome gun, and they're just like, oh, yeah,

559
00:34:12,760 --> 00:34:16,359
Speaker 1: you got us. Because the lie, they don't even have

560
00:34:16,440 --> 00:34:21,399
Speaker 1: to like do a meticulous job of lying because when

561
00:34:21,440 --> 00:34:25,400
Speaker 1: they get caught, they just get sued for millions of

562
00:34:25,440 --> 00:34:31,600
Speaker 1: dollars that comes from taxpayers, Like taxpayers pay for their

563
00:34:31,640 --> 00:34:35,000
Speaker 1: funk ups, and then you know it's not not only

564
00:34:35,040 --> 00:34:37,680
Speaker 1: is it not addressed at a systemic level, the officers

565
00:34:37,680 --> 00:34:40,719
Speaker 1: in question are either like left to continue doing the

566
00:34:40,760 --> 00:34:44,879
Speaker 1: same job and like oftentimes kill other people, were made

567
00:34:44,920 --> 00:34:48,879
Speaker 1: to retire and collect like huge pensions, again paid for

568
00:34:49,239 --> 00:34:54,399
Speaker 1: by taxpayers. And it's just I don't know, it's really

569
00:34:54,400 --> 00:34:56,960
Speaker 1: startling to you know, read it in your original peace

570
00:34:57,040 --> 00:35:00,000
Speaker 1: and hear it, you know, in your reporting in the podcast.

571
00:35:00,000 --> 00:35:02,960
Speaker 1: It's just like laid out side by side that like

572
00:35:03,040 --> 00:35:08,320
Speaker 1: there's just nothing being done over and over and over again,

573
00:35:08,920 --> 00:35:12,680
Speaker 1: and yeah, I mean I don't know, like we're we're

574
00:35:12,680 --> 00:35:16,560
Speaker 1: also seeing like, how do you think you've you're you've

575
00:35:16,600 --> 00:35:21,040
Speaker 1: done so much amazing like detailed reporting about Los Angeles.

576
00:35:21,080 --> 00:35:25,200
Speaker 1: Do you hear from people in other parts of the

577
00:35:25,239 --> 00:35:30,880
Speaker 1: country saying that they see similar things happening where they are? Oh? Yes,

578
00:35:31,200 --> 00:35:34,759
Speaker 1: overwhelmingly so. I've heard from people, and I want to

579
00:35:34,800 --> 00:35:40,960
Speaker 1: say twenty different states that have either been victims of

580
00:35:41,000 --> 00:35:45,640
Speaker 1: what they believe to be police gang violence or even

581
00:35:45,800 --> 00:35:49,040
Speaker 1: I've heard from police officers that reach out to me

582
00:35:49,080 --> 00:35:52,640
Speaker 1: and say, I am really concerned about what I think

583
00:35:52,800 --> 00:35:57,640
Speaker 1: is a gang within my department. Right, Yeah, is it

584
00:35:57,920 --> 00:36:00,720
Speaker 1: like just operating pretty much in the exact same way

585
00:36:00,920 --> 00:36:04,920
Speaker 1: like they have they have like their semiotics, their symbolism,

586
00:36:05,040 --> 00:36:07,839
Speaker 1: they have tattoos or whatever names. It's not just sort

587
00:36:07,880 --> 00:36:10,320
Speaker 1: of like, oh, that station is kind of out of control,

588
00:36:10,360 --> 00:36:13,520
Speaker 1: like they have a like identity as well. They do. Yeah,

589
00:36:13,560 --> 00:36:16,880
Speaker 1: they're they're doing activities that mean, well, what we have

590
00:36:17,040 --> 00:36:20,160
Speaker 1: in the California Penal Code as the standard of the gang,

591
00:36:20,360 --> 00:36:23,800
Speaker 1: which is three or more people, they have a common

592
00:36:23,880 --> 00:36:28,680
Speaker 1: name or unifying symbol or hand gesture. They are committing

593
00:36:28,920 --> 00:36:32,440
Speaker 1: criminal offenses and they are doing that in order to

594
00:36:32,640 --> 00:36:36,759
Speaker 1: further the reputation of the gang. Yeah, do you think

595
00:36:36,760 --> 00:36:40,440
Speaker 1: it's like I feel like it's just like any social

596
00:36:40,480 --> 00:36:43,840
Speaker 1: setting like that that people get in groups or whatever,

597
00:36:43,880 --> 00:36:45,520
Speaker 1: and in this case, when you have people who are

598
00:36:45,640 --> 00:36:50,080
Speaker 1: armed and can just kill with impunity like that, like

599
00:36:50,160 --> 00:36:52,880
Speaker 1: that almost that this gang thing is probably it's safe

600
00:36:52,880 --> 00:36:55,760
Speaker 1: to believe that it more than not, it's probably existing

601
00:36:55,800 --> 00:36:59,560
Speaker 1: in someone's city, I would say so. Yeah, I mean

602
00:36:59,560 --> 00:37:03,200
Speaker 1: there's stuff sinitely corruption happening in your city that's not

603
00:37:03,320 --> 00:37:07,040
Speaker 1: unique to the Los Angeles County Sheriff's Apartment. The you know,

604
00:37:07,160 --> 00:37:10,440
Speaker 1: the tactics that are used by the l A. S D.

605
00:37:11,120 --> 00:37:14,680
Speaker 1: I've seen repeated across the country and there are lots

606
00:37:14,719 --> 00:37:18,399
Speaker 1: of you know, stories by other journalists that break down

607
00:37:18,440 --> 00:37:22,440
Speaker 1: these tactics that completely mirror what we're seeing in Los Angeles.

608
00:37:22,520 --> 00:37:24,880
Speaker 1: What we're what what's happening in the l A County

609
00:37:24,880 --> 00:37:28,680
Speaker 1: Sheriff's Apartment with deputy gangs. It's probably the most well

610
00:37:28,760 --> 00:37:32,520
Speaker 1: known gang issue, but it certainly isn't the only one. Yeah,

611
00:37:33,000 --> 00:37:37,520
Speaker 1: it really they the just lack of accountability and the

612
00:37:38,040 --> 00:37:42,319
Speaker 1: like they feel like drunk on power. Sometimes they're just

613
00:37:42,440 --> 00:37:46,440
Speaker 1: drunk but just doing whatever the funk they want it

614
00:37:47,080 --> 00:37:50,560
Speaker 1: like it's it feels like a fraternity or you know,

615
00:37:50,640 --> 00:37:53,600
Speaker 1: like a like some ivy league school full of like

616
00:37:53,800 --> 00:37:56,480
Speaker 1: rich kids have just never seen a consequence in their

617
00:37:56,520 --> 00:38:01,279
Speaker 1: life because they there's just this institutional knowledge that they

618
00:38:01,520 --> 00:38:04,920
Speaker 1: can get away with fucking anything they want, and the

619
00:38:04,920 --> 00:38:08,279
Speaker 1: the only thing that they seem motivated by is not

620
00:38:08,560 --> 00:38:12,440
Speaker 1: keeping anyone safe, but insisting on their own right to

621
00:38:12,960 --> 00:38:16,080
Speaker 1: basically kill people at will. Like that's the thing that

622
00:38:16,200 --> 00:38:20,240
Speaker 1: seems to really motivate them is when that is threatened,

623
00:38:20,280 --> 00:38:24,399
Speaker 1: when that's questioned, they really seem to get that. That's

624
00:38:24,440 --> 00:38:27,960
Speaker 1: when they come together and do a lot of damage.

625
00:38:28,280 --> 00:38:32,279
Speaker 1: Is anytime they feel like somebody's going to criticize them

626
00:38:32,400 --> 00:38:35,879
Speaker 1: or make it so that systemic advantage is not there

627
00:38:35,880 --> 00:38:40,279
Speaker 1: for them, right exactly. There's a quote, I think and

628
00:38:40,360 --> 00:38:43,800
Speaker 1: the jump Out Boys episode where they they're like Booklet,

629
00:38:43,880 --> 00:38:48,279
Speaker 1: They're like gang. Book defines them as alpha dogs who

630
00:38:48,400 --> 00:38:51,680
Speaker 1: think and act like the wolf, but never become the wolf,

631
00:38:51,760 --> 00:38:54,520
Speaker 1: which I don't know if it's like an overt reference

632
00:38:54,600 --> 00:38:57,160
Speaker 1: or if it's just heavily influenced by the teachings of

633
00:38:57,239 --> 00:39:00,239
Speaker 1: David Grossman, who we've talked about on this show. But

634
00:39:00,320 --> 00:39:03,640
Speaker 1: he's this former army ranger who goes around like teaching

635
00:39:03,840 --> 00:39:07,760
Speaker 1: cops to think about the places the police as enemy

636
00:39:07,880 --> 00:39:12,399
Speaker 1: territory and that's like warrior mentality, right, yeah, warrior mentality.

637
00:39:12,680 --> 00:39:17,520
Speaker 1: His his quote unquote science is called killology, and he's

638
00:39:17,560 --> 00:39:22,360
Speaker 1: basically yeah, he's he calls himself America's top police trainer,

639
00:39:22,800 --> 00:39:26,240
Speaker 1: and that sounds like he's like bragging, but he teaches

640
00:39:26,760 --> 00:39:30,960
Speaker 1: you know, countless police forces to basically kill at a

641
00:39:31,000 --> 00:39:36,720
Speaker 1: moment's notice and not feel guilty about it. And it's

642
00:39:36,760 --> 00:39:40,720
Speaker 1: it's just straight up like I mean, his backgrounds military

643
00:39:40,840 --> 00:39:46,120
Speaker 1: and he's you know, giving police forces this marine training,

644
00:39:46,160 --> 00:39:51,040
Speaker 1: this you know, like just systematizing of like killing and

645
00:39:51,160 --> 00:39:55,279
Speaker 1: violence and like that. It's a it's a nationwide kind

646
00:39:55,320 --> 00:39:58,880
Speaker 1: of program that he's gotten rich by just like putting

647
00:39:58,880 --> 00:40:00,920
Speaker 1: out there. And the thing he always talks about is

648
00:40:01,440 --> 00:40:05,680
Speaker 1: like you gotta have the wolf mentality, and like, because

649
00:40:05,719 --> 00:40:08,279
Speaker 1: there's wolves and we're sheep dogs, but we have to

650
00:40:08,280 --> 00:40:10,799
Speaker 1: be able to think. It gets very complicated and like

651
00:40:10,880 --> 00:40:14,240
Speaker 1: you need a fucking flow chart to like know who's

652
00:40:14,280 --> 00:40:16,279
Speaker 1: the sheep dog and who's the wolf. And when you're

653
00:40:16,320 --> 00:40:18,640
Speaker 1: acting like a wolf, but you're a sheep and wolves

654
00:40:18,680 --> 00:40:22,799
Speaker 1: clothing and all this ship. But ultimately his belief, like

655
00:40:23,200 --> 00:40:26,960
Speaker 1: for instance, with the Black Lives Matter protests, his state

656
00:40:27,000 --> 00:40:29,480
Speaker 1: of belief is that they need to be more prepared

657
00:40:29,480 --> 00:40:32,800
Speaker 1: to use force because of the Black Lives Matter protests,

658
00:40:32,840 --> 00:40:36,080
Speaker 1: because you know, he was a big spreader of the

659
00:40:36,160 --> 00:40:39,080
Speaker 1: live that like the Black Lives Matter protesters were trying

660
00:40:39,120 --> 00:40:42,600
Speaker 1: to kill cops, which you know comes up in your

661
00:40:43,560 --> 00:40:46,920
Speaker 1: show that like that's just a thing that they really

662
00:40:46,960 --> 00:40:50,640
Speaker 1: want to fucking believe and have no support for that,

663
00:40:50,800 --> 00:40:53,719
Speaker 1: like when people are protesting them that they're actually trying

664
00:40:53,760 --> 00:40:56,920
Speaker 1: to harm them? What what's the mentality like stories like

665
00:40:56,960 --> 00:41:00,280
Speaker 1: because they're we've seen clips where you know, like people

666
00:41:00,320 --> 00:41:03,360
Speaker 1: interview cops like John burn Thaw in his podcast he

667
00:41:03,440 --> 00:41:05,560
Speaker 1: has like this other copies like where do you think

668
00:41:05,560 --> 00:41:11,759
Speaker 1: all this police reform stuff coming from? Man? Like that's

669
00:41:11,840 --> 00:41:16,960
Speaker 1: literally were like, yo, what sort how like you know,

670
00:41:17,120 --> 00:41:21,160
Speaker 1: like with the added scrutiny with like like reporting like

671
00:41:21,239 --> 00:41:24,399
Speaker 1: yours and things like that, is there even awareness within

672
00:41:24,480 --> 00:41:26,759
Speaker 1: the departments like that they're like, hey, maybe we need

673
00:41:26,800 --> 00:41:28,719
Speaker 1: to tone it down or are they completely like on

674
00:41:28,760 --> 00:41:31,040
Speaker 1: some like self righteous ship where they're like not not

675
00:41:31,120 --> 00:41:33,000
Speaker 1: not like these people are tripping. These people are tripped.

676
00:41:33,680 --> 00:41:37,520
Speaker 1: Most most police officers that I speak to are very

677
00:41:37,760 --> 00:41:41,759
Speaker 1: in favor of reform of oversight. A few of them

678
00:41:41,960 --> 00:41:45,040
Speaker 1: even say that they need less money in the department.

679
00:41:45,120 --> 00:41:47,640
Speaker 1: That's another sentiment I hear a lot. They won't use

680
00:41:47,680 --> 00:41:50,239
Speaker 1: the words defund the police, but they will say we

681
00:41:50,320 --> 00:41:53,879
Speaker 1: do not need a budget, we don't need more money. Yeah,

682
00:41:53,920 --> 00:41:55,920
Speaker 1: I mean they say we don't need more we do

683
00:41:56,000 --> 00:41:58,200
Speaker 1: not need more money, and we certainly don't need all

684
00:41:58,239 --> 00:42:03,080
Speaker 1: the money that we're getting. And yeah, I and that.

685
00:42:03,200 --> 00:42:06,040
Speaker 1: And that's police officers that I speak to you across

686
00:42:06,320 --> 00:42:10,239
Speaker 1: the political spectrum, Democrats, Republicans, they all for the most

687
00:42:10,280 --> 00:42:13,600
Speaker 1: part agree that, yeah, there is a huge issue going on.

688
00:42:13,800 --> 00:42:16,799
Speaker 1: We do need more accountability, we need more oversight that

689
00:42:16,960 --> 00:42:19,919
Speaker 1: is not coming from inside the Sheriff's department. It needs

690
00:42:19,960 --> 00:42:22,680
Speaker 1: to be an outside third party. And yes, we could

691
00:42:22,680 --> 00:42:24,880
Speaker 1: do with less money, and we should do it with

692
00:42:24,960 --> 00:42:30,160
Speaker 1: less money. Yeah, it's almost unbelievable. Some of them even

693
00:42:30,200 --> 00:42:32,399
Speaker 1: say we should get rid of the department. And that's

694
00:42:32,440 --> 00:42:35,320
Speaker 1: coming from both sides of the political spectrum as well.

695
00:42:35,600 --> 00:42:37,719
Speaker 1: Is that because they're saying, like I'm not sure what

696
00:42:37,760 --> 00:42:41,919
Speaker 1: good we're doing anymore or exactly. They think they think

697
00:42:41,920 --> 00:42:43,960
Speaker 1: that they're doing more harm than good, and they think

698
00:42:44,000 --> 00:42:46,920
Speaker 1: that the department is so far gone that it can't

699
00:42:46,920 --> 00:42:48,880
Speaker 1: be saved. Yeah. It seems like a lot of the

700
00:42:48,880 --> 00:42:52,200
Speaker 1: police that you interview, our former police officers, they have

701
00:42:52,480 --> 00:42:57,520
Speaker 1: this experience up close with like detailed, you know, just

702
00:42:57,600 --> 00:43:02,160
Speaker 1: seeing the corruption encountering like what happens when someone tries

703
00:43:02,160 --> 00:43:06,239
Speaker 1: to address the corruption. And Yeah, that like it's understandable

704
00:43:06,280 --> 00:43:12,200
Speaker 1: that they're like, I don't know, this is this is hopeless. Yeah,

705
00:43:12,360 --> 00:43:14,879
Speaker 1: I'm like, how do you feel with Robert Luna coming

706
00:43:14,920 --> 00:43:18,160
Speaker 1: in in terms of you know, like his potential to

707
00:43:18,960 --> 00:43:22,200
Speaker 1: you know, obviously be somewhat better than Viennueva. Yeah, the

708
00:43:22,239 --> 00:43:27,960
Speaker 1: bar is really on the floor there. Yeah, I think

709
00:43:28,080 --> 00:43:32,280
Speaker 1: Robert Luna would have to do a lot of really

710
00:43:32,320 --> 00:43:36,480
Speaker 1: truly awful ship to get on really anyone's bad side

711
00:43:36,880 --> 00:43:40,799
Speaker 1: at this point. Yeah, I'm hopeful that you know, we

712
00:43:40,840 --> 00:43:44,320
Speaker 1: can see a return to normalcy in the Sheriff's department

713
00:43:44,600 --> 00:43:47,480
Speaker 1: um and we've already seen that. I mean, I've never

714
00:43:48,840 --> 00:43:50,680
Speaker 1: I don't think there would be a chance in hell

715
00:43:51,000 --> 00:43:54,160
Speaker 1: in the prior four years for me to interview Sheriff

716
00:43:54,200 --> 00:43:58,160
Speaker 1: Alex Bianueva. But I was able to interview now Sheriff Luna,

717
00:43:58,280 --> 00:44:02,400
Speaker 1: which you Sherif vienn Aueva like bounced me out of

718
00:44:02,400 --> 00:44:07,960
Speaker 1: his press conferences. So that's that's already, that's pretty positive.

719
00:44:09,840 --> 00:44:14,359
Speaker 1: He's willing to speak, So yeah, right, yeah, and I think,

720
00:44:14,400 --> 00:44:17,920
Speaker 1: you know, we'll see, we'll see what happens. I don't

721
00:44:17,960 --> 00:44:23,400
Speaker 1: think that, you know, he singlehandedly can eliminate the deputy

722
00:44:23,440 --> 00:44:26,000
Speaker 1: gang issue in four years. I mean, it's it's a

723
00:44:26,040 --> 00:44:29,279
Speaker 1: fifty year problem and he's one man. And I think

724
00:44:29,360 --> 00:44:33,239
Speaker 1: that he understands that it's a deeply entrenched issue that's

725
00:44:33,239 --> 00:44:37,040
Speaker 1: going to take, you know, some serious overhaul. And I'm

726
00:44:37,080 --> 00:44:40,960
Speaker 1: excited to see, you know, what the Lunar administration is

727
00:44:40,960 --> 00:44:43,600
Speaker 1: going to look like and what it means to have

728
00:44:43,760 --> 00:44:47,600
Speaker 1: Robert Luna is the sheriff of Los Angeles County. Yeah there.

729
00:44:47,640 --> 00:44:51,160
Speaker 1: I mean, Vienueva came to power on like as a

730
00:44:51,280 --> 00:44:56,799
Speaker 1: quote unquote progressive Democrat, but he, like your podcast, like

731
00:44:56,880 --> 00:44:59,680
Speaker 1: really exposed the like he was connected already to like

732
00:44:59,760 --> 00:45:02,080
Speaker 1: Kevin Daily oone and like some of some of these

733
00:45:02,320 --> 00:45:05,400
Speaker 1: people who have now been out it as white supremacists.

734
00:45:05,400 --> 00:45:10,440
Speaker 1: So it's this deeply entrenched, you know, problems. So that

735
00:45:10,520 --> 00:45:13,320
Speaker 1: was like, I guess something that was making me feel

736
00:45:13,400 --> 00:45:15,400
Speaker 1: less hopeful about Luna as like well the end a

737
00:45:15,440 --> 00:45:17,640
Speaker 1: wave that came in and was claiming that he was

738
00:45:17,640 --> 00:45:21,600
Speaker 1: going to reform things, and he was like worse than

739
00:45:21,719 --> 00:45:24,880
Speaker 1: like created more of a problem. And so what's to

740
00:45:25,120 --> 00:45:27,120
Speaker 1: be different about this guy? And it does seem like

741
00:45:27,160 --> 00:45:30,520
Speaker 1: there's a difference because of your reporting and because of

742
00:45:30,880 --> 00:45:34,120
Speaker 1: you know, some of the systemic white supremacy that's being

743
00:45:34,400 --> 00:45:39,719
Speaker 1: exposed just throughout the political machine in Los Angeles, and

744
00:45:40,000 --> 00:45:45,080
Speaker 1: much more, much more to be exposed. Yeah, right, of course. Yeah,

745
00:45:45,360 --> 00:45:47,759
Speaker 1: all right, let's take a quick break and then we'll

746
00:45:47,760 --> 00:45:51,560
Speaker 1: come back and talk about some that AI selfie art

747
00:45:51,600 --> 00:46:07,640
Speaker 1: app that everyone's buying. And we're back and yeah, lensa AI.

748
00:46:07,840 --> 00:46:11,120
Speaker 1: You might see this if you use photo and video

749
00:46:11,719 --> 00:46:15,480
Speaker 1: apps and on your iPhone, but it is at number

750
00:46:15,520 --> 00:46:19,560
Speaker 1: one in the iOS app store. It will basically take

751
00:46:19,640 --> 00:46:22,359
Speaker 1: you send a bunch of photos of yourself and the

752
00:46:22,400 --> 00:46:25,840
Speaker 1: app generates avatars of you that look like they were

753
00:46:25,880 --> 00:46:30,280
Speaker 1: created by a digital artist, but we're actually created by

754
00:46:30,320 --> 00:46:34,279
Speaker 1: an AI. And I don't know. The examples are like

755
00:46:34,320 --> 00:46:39,239
Speaker 1: I can see the appeal like they look they look

756
00:46:39,320 --> 00:46:44,040
Speaker 1: like Marvel movie like movie posters or something something like

757
00:46:44,239 --> 00:46:46,640
Speaker 1: the concept aren't for a Marvel film. Yeah, that's a

758
00:46:46,800 --> 00:46:51,600
Speaker 1: perfect description. Yeah. There they put you as the star

759
00:46:51,680 --> 00:46:55,000
Speaker 1: of your own Marvel film. Complete also with like they'll

760
00:46:55,040 --> 00:46:59,160
Speaker 1: they'll just like women, they give like huge boobs even

761
00:46:59,200 --> 00:47:04,680
Speaker 1: if you're just them like a picture of your face. Yeah,

762
00:47:04,719 --> 00:47:16,879
Speaker 1: and give you enormous dance. Thank you Lenza, Like this

763
00:47:16,920 --> 00:47:20,040
Speaker 1: is you? What do you think this was a human

764
00:47:20,120 --> 00:47:22,719
Speaker 1: being that you were sending this ship to? And then

765
00:47:23,920 --> 00:47:28,040
Speaker 1: here I gave you, uh no shirt and like massive boobs.

766
00:47:28,400 --> 00:47:30,200
Speaker 1: I said, I just wanted something nice with me and

767
00:47:30,320 --> 00:47:32,360
Speaker 1: my dog, like on a mountain or like you're the

768
00:47:32,400 --> 00:47:38,799
Speaker 1: ocean or something. Are wanted mountains on? I made you

769
00:47:38,880 --> 00:47:44,719
Speaker 1: a sexy Viking? Is that cool? Yeah? But you know, obviously,

770
00:47:44,840 --> 00:47:49,480
Speaker 1: anytime there's an app that you're just feeding raw pictures

771
00:47:49,520 --> 00:47:54,200
Speaker 1: of your face, there's concerns about the history of privacy

772
00:47:54,239 --> 00:47:57,440
Speaker 1: issues involving apps that do that. And then there's all

773
00:47:57,520 --> 00:48:01,320
Speaker 1: there's this difference though, well, how's that, they say, because

774
00:48:01,320 --> 00:48:04,960
Speaker 1: the second it's done, you like analyzing your face, it

775
00:48:05,040 --> 00:48:12,560
Speaker 1: deletes all those images, at least from that particular. Yeah,

776
00:48:12,560 --> 00:48:18,040
Speaker 1: exactly tell you about is the other sound. They also

777
00:48:18,719 --> 00:48:23,000
Speaker 1: say that that so their privacy policy is somewhat eyebrow raising.

778
00:48:23,120 --> 00:48:26,120
Speaker 1: It states that while they don't use your photos for

779
00:48:26,160 --> 00:48:28,960
Speaker 1: any reason other than to apply different stylized filters or

780
00:48:28,960 --> 00:48:31,879
Speaker 1: effects to them, they also state that you grant them

781
00:48:31,920 --> 00:48:37,319
Speaker 1: certain rights to use your photos, right, Like the ones

782
00:48:37,360 --> 00:48:39,120
Speaker 1: that come out the other end of the machine are

783
00:48:39,120 --> 00:48:41,200
Speaker 1: the ones you feed it? Like are they trying to say,

784
00:48:41,239 --> 00:48:43,040
Speaker 1: like whatever is made from here is like also like

785
00:48:43,080 --> 00:48:47,399
Speaker 1: our intellectual property or that what you feed it? Like

786
00:48:47,560 --> 00:48:50,000
Speaker 1: that selfie too, I'm sure there's like I'm sure that

787
00:48:50,080 --> 00:48:53,239
Speaker 1: we use it some like before and after pictures to

788
00:48:53,280 --> 00:48:55,680
Speaker 1: be like look at it, look at this sad sack

789
00:48:55,880 --> 00:48:58,360
Speaker 1: that gave us this picture, and look how cool we

790
00:48:58,480 --> 00:49:01,640
Speaker 1: made him look? You know, like where, for instance, where

791
00:49:01,640 --> 00:49:04,920
Speaker 1: are we we have to sample images of two different

792
00:49:05,120 --> 00:49:07,640
Speaker 1: human beings a woman and a man? Like leading off

793
00:49:07,680 --> 00:49:10,879
Speaker 1: this article, our writer jam pasted them in who are

794
00:49:10,920 --> 00:49:14,919
Speaker 1: those people and why? Like are they just employees or

795
00:49:15,000 --> 00:49:17,800
Speaker 1: like we don't know, you know, and they're they're probably

796
00:49:18,000 --> 00:49:25,479
Speaker 1: using people's pictures to one on the left, Yeah, wait,

797
00:49:25,520 --> 00:49:29,840
Speaker 1: the Katie Harye. Maybe it looked like Katy Perry, please

798
00:49:30,480 --> 00:49:34,320
Speaker 1: hit me like one of your pop deepers talking to

799
00:49:34,560 --> 00:49:37,759
Speaker 1: a Yeah, but yeah, there's there's also the concern that

800
00:49:37,800 --> 00:49:43,200
Speaker 1: it's just overly sexualized. That one user like submitted photos

801
00:49:43,200 --> 00:49:47,240
Speaker 1: of her face and got just like a seventies porn

802
00:49:47,360 --> 00:49:52,399
Speaker 1: van like artistic treatment where she's like her boobs are

803
00:49:52,480 --> 00:49:56,120
Speaker 1: out and like in bras but like just out in

804
00:49:56,800 --> 00:49:59,319
Speaker 1: four of the pictures, or like two two of the

805
00:49:59,360 --> 00:50:02,760
Speaker 1: pictures that they provided, two of the four. And there's

806
00:50:02,800 --> 00:50:05,880
Speaker 1: also the standard racism, like in this case, the app

807
00:50:05,920 --> 00:50:11,360
Speaker 1: struggles with Asian faces according to people who yeah, it

808
00:50:11,640 --> 00:50:16,200
Speaker 1: struggled with me, I'm not in Asian, but you didn't.

809
00:50:16,239 --> 00:50:18,719
Speaker 1: It put me in yellow face, like straight up put

810
00:50:18,760 --> 00:50:22,240
Speaker 1: me in yellow face. And it also I was really

811
00:50:22,280 --> 00:50:26,400
Speaker 1: pissed because like the photos that I did get, the

812
00:50:26,440 --> 00:50:29,840
Speaker 1: photos actually looked like a human person. They put me

813
00:50:29,880 --> 00:50:34,080
Speaker 1: in yellow face, which was just offensive. And most of

814
00:50:34,120 --> 00:50:37,160
Speaker 1: my photos, like I thought I was really ugly for

815
00:50:37,239 --> 00:50:39,200
Speaker 1: like a good five minutes there before I looked in

816
00:50:39,239 --> 00:50:41,239
Speaker 1: the mirror and remembered who the funk I was. But

817
00:50:42,120 --> 00:50:45,600
Speaker 1: it struggles with like, if you're not white like I was,

818
00:50:45,760 --> 00:50:49,720
Speaker 1: my features were legit like smudges I had like cone

819
00:50:49,760 --> 00:50:56,600
Speaker 1: shaped like potato head like process. You're like non Western

820
00:50:56,680 --> 00:51:00,640
Speaker 1: European features. Truly, it's too bad this is an audio

821
00:51:00,719 --> 00:51:03,880
Speaker 1: podcast because like some of this stuff is like really

822
00:51:04,040 --> 00:51:05,640
Speaker 1: like I had to save it because I was just

823
00:51:05,719 --> 00:51:13,280
Speaker 1: like the lord, like really really bad, like god threes

824
00:51:14,480 --> 00:51:19,959
Speaker 1: what what is that that is so brutal? That has nothing.

825
00:51:20,040 --> 00:51:23,200
Speaker 1: I mean it looks like the shape of your face,

826
00:51:23,320 --> 00:51:27,239
Speaker 1: but that's no, that's like it's wold that these white

827
00:51:27,239 --> 00:51:29,240
Speaker 1: people are getting like all these like they're like, wow,

828
00:51:29,280 --> 00:51:30,759
Speaker 1: look at me, I'm looking good. And this one was

829
00:51:30,840 --> 00:51:33,360
Speaker 1: like this looks like someone like rubbed their hand on

830
00:51:33,360 --> 00:51:37,160
Speaker 1: an oil painting of right, or like that that woman

831
00:51:37,160 --> 00:51:40,040
Speaker 1: who tried to restore the Gesus looks like the woman

832
00:51:40,200 --> 00:51:43,799
Speaker 1: restored the Jesus. It's right, right, right, and you end

833
00:51:43,840 --> 00:51:46,920
Speaker 1: up looking like a sloth or something. What the funk

834
00:51:47,040 --> 00:51:51,839
Speaker 1: was that? Oh my gosh, Asian faces. Everybody's wait, how

835
00:51:51,840 --> 00:51:53,600
Speaker 1: did you do it? So you have to pay for

836
00:51:53,640 --> 00:52:02,960
Speaker 1: this app? You are a journalist and ask questions internalist, Well,

837
00:52:03,000 --> 00:52:06,440
Speaker 1: I didn't ask the questions right right, right, Well, I

838
00:52:06,480 --> 00:52:08,960
Speaker 1: was just asking people that had done it before. I

839
00:52:09,040 --> 00:52:11,160
Speaker 1: was like, hey, like I'm seeing that, like you have

840
00:52:11,200 --> 00:52:13,840
Speaker 1: to pay for it, like I really don't want to,

841
00:52:15,280 --> 00:52:18,480
Speaker 1: and a friend of mine had signed up. You can

842
00:52:18,520 --> 00:52:21,040
Speaker 1: either sign up for the free trial where you can

843
00:52:21,040 --> 00:52:23,520
Speaker 1: sign up and subscribe for forty bucks, and my friend

844
00:52:23,640 --> 00:52:28,680
Speaker 1: subscribed for forty bucks and got unlimited avatars. So they

845
00:52:28,760 --> 00:52:36,879
Speaker 1: blessed me with Jesus. The other concern about the app,

846
00:52:37,080 --> 00:52:41,480
Speaker 1: besides the fact that it is clearly you know, channeling

847
00:52:41,560 --> 00:52:45,880
Speaker 1: some corny guy and also that it is racist, is

848
00:52:45,960 --> 00:52:51,080
Speaker 1: that it is just trying to replace artists. Like one

849
00:52:51,120 --> 00:52:55,319
Speaker 1: of the pictures that they created still had a signature

850
00:52:55,880 --> 00:52:59,520
Speaker 1: on it because they had so thoroughly ripped off like

851
00:52:59,600 --> 00:53:04,800
Speaker 1: someone deviant art, I'm assuming, and they so their signature

852
00:53:04,960 --> 00:53:09,200
Speaker 1: was like still in the corner of of the thing

853
00:53:09,280 --> 00:53:12,920
Speaker 1: that of the avatar that they created because they you know,

854
00:53:13,000 --> 00:53:15,360
Speaker 1: that's how much they were using it for the basis

855
00:53:15,400 --> 00:53:19,360
Speaker 1: of the of the avatar. Yeah. Well, now people are

856
00:53:19,360 --> 00:53:22,040
Speaker 1: trying to pull you know, their intellectual property off the

857
00:53:22,080 --> 00:53:24,960
Speaker 1: Internet so it doesn't end up becoming like you know,

858
00:53:25,200 --> 00:53:29,080
Speaker 1: inspiration right or whatever for these day as I think

859
00:53:29,120 --> 00:53:33,080
Speaker 1: it's a fucking slippery slope. Like jeez, there are so

860
00:53:33,160 --> 00:53:36,720
Speaker 1: many great artists on on like deviant Art and places

861
00:53:36,760 --> 00:53:39,080
Speaker 1: like that, just go find one you like and pay

862
00:53:39,120 --> 00:53:47,560
Speaker 1: them to like yeah, and that you can actually be like,

863
00:53:47,600 --> 00:53:49,919
Speaker 1: all right, this is actually offensive if it's not good,

864
00:53:50,200 --> 00:53:57,680
Speaker 1: you know, like I paid to not look smudgy, please. Yeah.

865
00:53:57,760 --> 00:54:01,759
Speaker 1: But people are they like they're asked photography agencies to

866
00:54:01,760 --> 00:54:04,719
Speaker 1: scrub their work from the Internet, and I think it's

867
00:54:04,760 --> 00:54:10,320
Speaker 1: completely understandable. I don't know, I guess this doesn't really

868
00:54:11,560 --> 00:54:15,480
Speaker 1: like relate to the other ai that like can write

869
00:54:16,120 --> 00:54:20,319
Speaker 1: about peanut butter sandwiches being lodged in a VCR in

870
00:54:20,400 --> 00:54:23,600
Speaker 1: the voice of the King James Bible. But right still,

871
00:54:23,840 --> 00:54:29,120
Speaker 1: that that is the death of authorship is something that

872
00:54:29,520 --> 00:54:32,400
Speaker 1: I think we're facing a little bit. We we already

873
00:54:32,560 --> 00:54:34,560
Speaker 1: kind of face it. Like if you've ever written a

874
00:54:34,640 --> 00:54:39,239
Speaker 1: joke and then just seen it completely stolen and you know,

875
00:54:39,360 --> 00:54:43,640
Speaker 1: have your name taken off of it, Like you understand that,

876
00:54:43,760 --> 00:54:47,759
Speaker 1: Like the memification, the way the Internet like just memifies

877
00:54:47,960 --> 00:54:53,440
Speaker 1: anything that's funny is kind of already doing this. But

878
00:54:53,560 --> 00:54:57,279
Speaker 1: this just completely this creates a machine that is just

879
00:54:57,800 --> 00:55:02,319
Speaker 1: a machine for taking artists and individual vision out of

880
00:55:02,320 --> 00:55:07,640
Speaker 1: the artistic process. Yeah, m hm, well, I mean it's

881
00:55:07,640 --> 00:55:09,960
Speaker 1: always interesting to see because like they're that always felt

882
00:55:10,000 --> 00:55:12,920
Speaker 1: like they're all these like you know think pieces written

883
00:55:12,960 --> 00:55:15,480
Speaker 1: like twenty years ago about like the future of automation

884
00:55:15,560 --> 00:55:17,520
Speaker 1: or AI, and they're like, you know, if you're in

885
00:55:17,560 --> 00:55:21,239
Speaker 1: the creative fields or like like using your intellect like

886
00:55:21,360 --> 00:55:27,600
Speaker 1: journalism or something like that may help stave off your obsolescence. Uh,

887
00:55:27,640 --> 00:55:30,759
Speaker 1: you know, like once the computers like become you know,

888
00:55:31,280 --> 00:55:33,799
Speaker 1: very very smart, but you're already beginning to see like

889
00:55:33,880 --> 00:55:39,200
Speaker 1: even that one chat GPT thing it it definitely knows

890
00:55:39,200 --> 00:55:42,560
Speaker 1: what a shape of an answer looks like. You know,

891
00:55:43,000 --> 00:55:46,839
Speaker 1: sometimes the actual information isn't right, but it sounds right.

892
00:55:47,120 --> 00:55:49,319
Speaker 1: And that's what's like really interesting too. When you see

893
00:55:49,360 --> 00:55:53,439
Speaker 1: these you know, ais begin to really refine those kinds

894
00:55:53,440 --> 00:55:56,080
Speaker 1: of skills. And at least that one passed the Nazi test,

895
00:55:56,120 --> 00:56:01,120
Speaker 1: so we'll see if Lenzo one does. Yeah, I would

896
00:56:01,280 --> 00:56:04,520
Speaker 1: be surprised of it. Then it just gives you Hitler

897
00:56:04,600 --> 00:56:11,480
Speaker 1: with big boobs or something like Frea is always such

898
00:56:11,480 --> 00:56:14,520
Speaker 1: a pleasure having you on the daily Zeitgeist. Where can

899
00:56:14,560 --> 00:56:18,839
Speaker 1: people find you? Follow you continue to enjoy your work.

900
00:56:19,680 --> 00:56:24,160
Speaker 1: You can find and follow me on Instagram and TikTok

901
00:56:24,400 --> 00:56:29,520
Speaker 1: at your majesty Little Crown throwback there. The last name

902
00:56:29,560 --> 00:56:32,279
Speaker 1: is also Castle um and I'm on Twitter for as

903
00:56:32,320 --> 00:56:36,760
Speaker 1: long as it'll be here at series Castle. Yeah, great,

904
00:56:36,800 --> 00:56:39,600
Speaker 1: follow everybody should go follow her right now? Is there

905
00:56:39,640 --> 00:56:42,480
Speaker 1: a tweet or some other work of social media you've

906
00:56:42,480 --> 00:56:45,680
Speaker 1: been enjoying? Something that I'm enjoying on social media is

907
00:56:45,719 --> 00:56:50,640
Speaker 1: actually it's artwork by a young creator of color that

908
00:56:50,840 --> 00:56:54,280
Speaker 1: is posting their work on the Internet. They haven't scrubbed

909
00:56:54,320 --> 00:56:59,560
Speaker 1: it yet because of Flensa. And this person does anime

910
00:57:00,840 --> 00:57:06,280
Speaker 1: of Abbott Elementary. It's it's shipper anime of Abbott Elementary

911
00:57:06,680 --> 00:57:11,840
Speaker 1: featuring Janine Tigues and Ava Coleman and oh my goodness,

912
00:57:12,000 --> 00:57:16,440
Speaker 1: it is very spicy. Please go check it out over

913
00:57:21,920 --> 00:57:25,480
Speaker 1: mid lends a jealous with that one. Yeah, Miles, where

914
00:57:25,480 --> 00:57:27,720
Speaker 1: can people find you? What the tweet you've been enjoying

915
00:57:28,200 --> 00:57:31,040
Speaker 1: at Miles of Gray where they got at Symbols. You

916
00:57:31,080 --> 00:57:33,760
Speaker 1: can also find us Jack and Miles on our other

917
00:57:33,760 --> 00:57:38,080
Speaker 1: basketball podcast, Miles and Jack Got Mad Boosty's uh we're

918
00:57:38,200 --> 00:57:40,760
Speaker 1: you know, we just get to scream about the NBA

919
00:57:41,040 --> 00:57:43,720
Speaker 1: Love of ours And then also checked me and Sophia

920
00:57:43,760 --> 00:57:46,680
Speaker 1: Alexandra out on our other podcast for Twenty Day Fiance,

921
00:57:46,760 --> 00:57:49,960
Speaker 1: where we're talking ninety day fiance, just watching that whole

922
00:57:50,040 --> 00:57:53,920
Speaker 1: dumpster fire unfold before our eyes. A tweet. I like

923
00:57:54,400 --> 00:57:56,920
Speaker 1: a few people put this tweet on my radar, but

924
00:57:57,000 --> 00:57:59,160
Speaker 1: I got a shot out at Wapple House, Christie, I'm

925
00:57:59,200 --> 00:58:01,480
Speaker 1: a Gucci main who m me said, I think you're

926
00:58:01,480 --> 00:58:04,360
Speaker 1: gonna like this tweet and it's from Socialist dog Mom.

927
00:58:04,880 --> 00:58:08,520
Speaker 1: At Socialist dog Mom. I was using Pacer just to

928
00:58:08,560 --> 00:58:11,880
Speaker 1: look up some court records and stumbled upon this, said, okay,

929
00:58:11,920 --> 00:58:14,040
Speaker 1: never mind, it was all worth it just to accidentally

930
00:58:14,040 --> 00:58:17,160
Speaker 1: stumble across this exchange between a judge and a prosecutor

931
00:58:17,200 --> 00:58:20,280
Speaker 1: and a federal agent where only the judge knows who

932
00:58:20,360 --> 00:58:22,960
Speaker 1: Biggie Smalls is. And I'm just gonna read you this

933
00:58:23,040 --> 00:58:26,360
Speaker 1: back and forth from the court stretch script. This is

934
00:58:26,400 --> 00:58:29,080
Speaker 1: I think one of the this is the prosecutor, Miss Coker.

935
00:58:29,400 --> 00:58:32,280
Speaker 1: Uh no further questions, your honor, the judge. I've got

936
00:58:32,280 --> 00:58:35,320
Speaker 1: a follow up question about the Biggie Smallest lyric, Miss Coker?

937
00:58:35,440 --> 00:58:38,440
Speaker 1: What about the what I'm sorry, the judge about the

938
00:58:38,480 --> 00:58:42,080
Speaker 1: Biggie Smalls lyric? I got seven maca Levin's about eight

939
00:58:42,200 --> 00:58:45,720
Speaker 1: thirty eight nine nins. That's a Biggie Smalls lyric? Are

940
00:58:45,720 --> 00:58:48,880
Speaker 1: we looking for those firearms? The witness, I don't know.

941
00:58:49,000 --> 00:58:51,880
Speaker 1: I don't recognize that. The judge. This is in the

942
00:58:51,920 --> 00:58:54,760
Speaker 1: government's Exhibit eight, where it says I've got seven maca

943
00:58:54,840 --> 00:58:58,479
Speaker 1: Levins about eight thirty eight nine nins. That's a rap

944
00:58:58,560 --> 00:59:03,880
Speaker 1: lyric for e secutor. I'm the judge. The Court's independently

945
00:59:03,960 --> 00:59:06,960
Speaker 1: aware of that, and it's a what I'm not understanding

946
00:59:06,960 --> 00:59:09,400
Speaker 1: the words, sir, I apologize the judge. So if you

947
00:59:09,440 --> 00:59:14,000
Speaker 1: look on page eight, yes, Government's Exhibit eight, page one,

948
00:59:14,080 --> 00:59:18,080
Speaker 1: the prosecutor, yes, the judge where he says I'll need

949
00:59:18,120 --> 00:59:20,720
Speaker 1: a list of AMMO to get Then he says, I

950
00:59:20,800 --> 00:59:24,680
Speaker 1: got seven maca Levin's about eight thirty eight nine nins.

951
00:59:24,920 --> 00:59:27,200
Speaker 1: I understand the rest. We're about to get three oh

952
00:59:27,240 --> 00:59:30,480
Speaker 1: eight twelve gauge pigeons. That's a genuine shopping list. But

953
00:59:30,520 --> 00:59:32,960
Speaker 1: that to me seems like he's just tossing a Biggie

954
00:59:32,960 --> 00:59:36,400
Speaker 1: Smalls lyric into the chat. The witness, I don't recognize

955
00:59:36,440 --> 00:59:39,439
Speaker 1: the lyrics, is what I'm saying, sir. The court. Okay, yeah,

956
00:59:39,640 --> 00:59:43,880
Speaker 1: well that is the Biggie smallest lyric. The prosecutor, I'm

957
00:59:43,920 --> 00:59:47,720
Speaker 1: I'm still not understanding the word. I apologize the judge

958
00:59:47,880 --> 00:59:51,840
Speaker 1: Biggie Smalls. Biggie Smalls is a dead rapper, Miss Coker. Oh,

959
00:59:51,880 --> 00:59:53,880
Speaker 1: the court. It's a lyric from a song by the

960
00:59:53,920 --> 00:59:57,400
Speaker 1: dead rapper Biggie Smalls. The prosecutor got it, the judge.

961
00:59:57,600 --> 00:59:59,400
Speaker 1: There's a lot of other stuff going on here. But

962
01:00:00,200 --> 01:00:02,080
Speaker 1: there's a lot of other stuff going on here. You

963
01:00:02,080 --> 01:00:07,840
Speaker 1: should be ashamed to yourself. Wow about nine nine ten

964
01:00:07,920 --> 01:00:10,760
Speaker 1: mac tens. Ships never ends? Come on, we all know

965
01:00:10,800 --> 01:00:14,320
Speaker 1: that one. Not the prosecution, Yeah, definitely not. It's like

966
01:00:14,640 --> 01:00:18,760
Speaker 1: to be so like, huh, I don't know what. I'm

967
01:00:18,800 --> 01:00:26,120
Speaker 1: not small, it's a wrapper. These are the people who

968
01:00:26,120 --> 01:00:28,840
Speaker 1: are so in touch with everything you that are prosecuting

969
01:00:28,920 --> 01:00:33,160
Speaker 1: for the federal compment. Uh. Tweet I've been enjoying from

970
01:00:33,160 --> 01:00:35,960
Speaker 1: store and Booie tweeted. My daughter falling asleep for a

971
01:00:36,040 --> 01:00:38,760
Speaker 1: rainy day nap feels my cheek with her tiny hands

972
01:00:38,760 --> 01:00:44,200
Speaker 1: as I lay beside her. Yuck. She says softly. That's

973
01:00:44,240 --> 01:00:47,040
Speaker 1: just kids are mean, Like a lot a lot of

974
01:00:47,040 --> 01:00:49,760
Speaker 1: people give them a lot of breaks for you know,

975
01:00:49,880 --> 01:00:52,440
Speaker 1: being cute and all this ship that they are. They're

976
01:00:52,480 --> 01:00:56,080
Speaker 1: really mean. Yeah, just def why now. You can find

977
01:00:56,080 --> 01:00:58,919
Speaker 1: me on Twitter at Jack Underscore O'Brien. You can find

978
01:00:59,080 --> 01:01:01,320
Speaker 1: us on Twitter at daily Zeite. Guys were at the

979
01:01:01,440 --> 01:01:04,160
Speaker 1: Daily Zeitgeist on Instagram. We have a Facebook fan page

980
01:01:04,200 --> 01:01:07,200
Speaker 1: on a website, Daily zeitgeist dot com, where we post

981
01:01:07,240 --> 01:01:10,560
Speaker 1: our episodes and our foot note off to the information

982
01:01:10,560 --> 01:01:12,520
Speaker 1: that we talked about in today's episode, as well as

983
01:01:12,520 --> 01:01:14,880
Speaker 1: a song that we think you might enjoy. Miles, what

984
01:01:15,000 --> 01:01:17,720
Speaker 1: song do we think people might enjoy? Okay, We're going

985
01:01:17,840 --> 01:01:21,480
Speaker 1: with some more deep African tracks that I'm finding. This

986
01:01:21,520 --> 01:01:25,000
Speaker 1: one is from the artist at so a t a

987
01:01:25,200 --> 01:01:29,080
Speaker 1: k a k u Ghanaian artist who like made this

988
01:01:29,400 --> 01:01:33,680
Speaker 1: mixtape like in when like this dude lived in Chicago

989
01:01:33,840 --> 01:01:37,360
Speaker 1: like as a student and like made a couple of

990
01:01:37,360 --> 01:01:40,760
Speaker 1: cassettes and then some like music dude found the tape

991
01:01:40,800 --> 01:01:43,080
Speaker 1: and then like resurrected it and then this this guy,

992
01:01:43,200 --> 01:01:46,360
Speaker 1: now like thirty years later is like has a career

993
01:01:46,440 --> 01:01:49,200
Speaker 1: because they're like, Yo, this ship is really good and

994
01:01:49,280 --> 01:01:52,080
Speaker 1: it's like this whole tape is super d i y,

995
01:01:52,240 --> 01:01:54,120
Speaker 1: but it's like you clearly you could feel like there's

996
01:01:54,120 --> 01:01:58,160
Speaker 1: like Chicago house influences in it, but he's like rapping

997
01:01:58,160 --> 01:02:01,640
Speaker 1: and twee like a Ghanaian lane which and he's but

998
01:02:01,760 --> 01:02:04,360
Speaker 1: like it's funky as ship. So this is like a

999
01:02:04,440 --> 01:02:07,640
Speaker 1: really dope cut. It's called Oba sema o b A

1000
01:02:07,800 --> 01:02:10,640
Speaker 1: A s I m A by a coq a t

1001
01:02:10,840 --> 01:02:14,520
Speaker 1: A k A k and it's check it out. It's

1002
01:02:14,560 --> 01:02:18,200
Speaker 1: like super out there, uh, super retro, super d i y,

1003
01:02:18,280 --> 01:02:20,120
Speaker 1: but like he has so much heart and it's just

1004
01:02:20,240 --> 01:02:22,120
Speaker 1: nice to see like these things where someone just made

1005
01:02:22,120 --> 01:02:24,080
Speaker 1: a tape when they were younger and then people are like, yo,

1006
01:02:24,200 --> 01:02:26,680
Speaker 1: the ship fucking goals and he's like, okay, I'll dour

1007
01:02:26,800 --> 01:02:29,640
Speaker 1: in my sixtink. You're sure the name is not a

1008
01:02:29,640 --> 01:02:32,560
Speaker 1: reference to Moving Out by Billy Joel where he says

1009
01:02:32,560 --> 01:02:38,440
Speaker 1: a heart attack. Okay, no, definitely not. The Daily Zeitgeis

1010
01:02:38,480 --> 01:02:40,640
Speaker 1: is a production of I Heart Radio and more podcast

1011
01:02:40,680 --> 01:02:42,680
Speaker 1: When I Heart Radio is the heart radio app Apple

1012
01:02:42,720 --> 01:02:45,400
Speaker 1: podcast wherever your listener favorite shows, that's gonna do it

1013
01:02:45,400 --> 01:02:47,840
Speaker 1: for us this morning, back this afternoon to tell you

1014
01:02:47,880 --> 01:02:50,560
Speaker 1: what's trending and we'll talk to you by by