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Speaker 1: Hello the Internet, and welcome to Season three, twenty nine,

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Speaker 1: Episode five of Daily th Guys Day production of iHeartRadio.

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Speaker 1: This is a podcast where we take a deep dive

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Speaker 1: into america share consciousness. And it is Friday, the fifteenth

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Speaker 1: Friday of March twenty Friday, the fifteenth spookiest day of

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Speaker 1: a Bucky.

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Speaker 2: You don't want to be on a Friday the fifteenth.

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Speaker 2: I mean unless that paycheck lands and then which case

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Speaker 2: they can get really wild. But anyways, National Kansas Day,

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Speaker 2: it's Everything you Think is Wrong Day. I don't know

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Speaker 2: where that one's headed. And National Pairs Helene.

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Speaker 1: Day, Everything you think is wrong.

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Speaker 2: It feels like some red pill shit, you know, like

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Speaker 2: they would be like everything you think is wrong.

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Speaker 1: Man, I'm getting bad vibes from this day. National Kansas Day.

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Speaker 1: I don't know, Yeah, Kansas, you.

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Speaker 2: Got beef with Kansas. Not too flat for you.

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Speaker 1: Like they've just you know, we'll see what they're celebrating

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Speaker 1: the day progresses.

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Speaker 2: I mean, it's funny because for all these state days,

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Speaker 2: nobody knows it's the day of that state, you know

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Speaker 2: what I mean, They're like, oh, okay, sure it's California Day.

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Speaker 2: We're like, I'm look, I got a lot going on

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Speaker 2: the sleeve. You one.

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Speaker 1: Wait, you don't have California Day plans yet?

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Speaker 2: No, man, I think it passed anyway. Shit, yeah, exactly,

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Speaker 2: So shame on you, Shame on you, Shame on me.

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Speaker 1: My name is Jack O'Brien aka Jack old Son, Oh

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Speaker 1: Brian host the show each day that is courtesy of

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Speaker 1: Panoramic View on the Discord on the Heater, and I'm

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Speaker 1: thrilled to be joined as always by my.

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Speaker 2: Co host, mister Miles Grass Miles Gray aka, if you

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Speaker 2: really want to get a vote from me, please cease

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Speaker 2: fire immediately at least for the next six weeks. Hey,

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Speaker 2: that's my text my day. Shout out to death boyard

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Speaker 2: the discord for that death. Yeah, have the punny name.

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Speaker 2: That's a good one. At least six weeks, at least

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Speaker 2: six weeks, six weeks, low bar, low, bar, six weeks

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Speaker 2: at least. Do not pause for the crowd to cheer,

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Speaker 2: but just whisper the.

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Speaker 1: At the whole take six weeks under the under their

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Speaker 1: raucous applus. Yes, anyways, Miles, we're throwed to be joined

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Speaker 1: in our third seat to buy a writer, poet, performance artist,

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Speaker 1: public intellectual their new book is How to Live Free

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Speaker 1: in a Dangerous World, a decolonial memoir.

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Speaker 2: It's Shila Lass. Welcome, Hello, welcome, welcome, that's be here. Yeah, well,

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Speaker 2: thank you, thank you so much, thank you so much.

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Speaker 3: Champagnagne.

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Speaker 2: Hey, okay, champagne pain.

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Speaker 1: Let them know, real pain from a sham friends, and

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Speaker 1: champagne pain for from my real champagne.

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Speaker 3: I mean, my real friends usually do get the champagneagne.

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Speaker 1: You know.

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Speaker 2: There you go.

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Speaker 3: A lot of late night bubbles.

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Speaker 2: Yeah. Yeah, where you said you're coming to us from Kentucky?

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Speaker 3: Right, that's correct?

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Speaker 4: Yeah?

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Speaker 2: Are you are you? Are you from Kentucky?

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Speaker 3: Yeah? I grew up here.

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Speaker 2: Surprisingly, Oh so you took so you So you're like anyone.

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Speaker 2: Your life is taking you many places because a second

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Speaker 2: ago you were talking about how you left La. Yeah.

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Speaker 3: Yeah, I took a very securitous route to get back

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Speaker 3: to my hometown, you know, like Dorothy, that tornado just

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Speaker 3: you know, it took me straight back.

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Speaker 2: What uh what high school did you go to?

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Speaker 3: And like I went to Paul Lawrence Dunbar.

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Speaker 1: Yes, Paulaurence Dunbar, where my sister went to high school.

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Speaker 1: Oh yeah, graduated and then went to UK. Did you

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Speaker 1: go to UK.

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Speaker 2: I went to U k.

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Speaker 1: Oh usually yeah, usually miles nos, like all the stuff

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Speaker 1: that people grew up around, because there's no it's from

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Speaker 1: the valley.

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Speaker 3: But yeah, I know at this time we get to

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Speaker 3: dish jack.

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Speaker 2: Yeah, this is fun.

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Speaker 3: Did you go all right?

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Speaker 2: Yeah?

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Speaker 1: Yeah, I was only there for three years, but what

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Speaker 1: a three years?

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Speaker 2: Yeah? Amazing.

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Speaker 1: Well, we're going to get to know you a little

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Speaker 1: bit better in a moment. First, we're going to tell

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Speaker 1: our listeners a couple of things we'll be talking about.

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Speaker 1: We've got so Google's chat bot. If you ask it

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Speaker 1: anything about any political candidate running for office this year,

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Speaker 1: the it's just gonna be like, I don't know them.

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Speaker 1: They're just playing dumb. And there's a very good reason

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Speaker 1: for that, because when they don't play dumb, they lie.

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Speaker 2: They can't they can't stop themselves from the I'm sorry there. Yes,

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Speaker 2: it's not that the AI is flawed, it's that they

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Speaker 2: are tripping.

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Speaker 1: But this feels like the thing that could, I don't know,

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Speaker 1: eventually bring AI down, you.

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Speaker 2: Know what I mean. We're yeah, I mean, I know

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Speaker 2: we were rubbing our midst to be like when'sday coming?

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Speaker 2: But I will this one. Yeah, this could be the

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Speaker 2: beginning of the.

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Speaker 1: End, like don't I don't know that it ever is coming,

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Speaker 1: but this does feel like the thing that made people

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Speaker 1: go from being like fully in love with social media

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Speaker 1: to be in like, wait a second, maybe this thing

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Speaker 1: not so good that twenty sixteen election. So we'll talk

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Speaker 1: about AI and the upcoming elections. We might talk about

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Speaker 1: justin Timberlake, he's got to come back coming, just to.

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Speaker 2: Keep saying that on the schedule every five years, like

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Speaker 2: fucking clockwork. And yeah, and we have to ask the

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Speaker 2: deeper question, is he just washed now? And we just

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Speaker 2: need to put him just on the shelf and let

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Speaker 2: him collect dust. But we'll dive into.

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Speaker 1: That, it's entirely possible. We'll talk about Bernie introduced a

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Speaker 1: bill proposing four day work week, which we've been talking about.

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Speaker 2: Four day work week. We're lazy here, we want to

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Speaker 2: but we acknowledge that not necessary to toil for five days. Yeah,

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Speaker 2: I'm sorry.

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Speaker 1: Yeah, I shouldn't paint people in favor of the four

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Speaker 1: day work week with the laziness brush. I am both

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Speaker 1: lazy and in favor of the four day work week,

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Speaker 1: but those two things are unrelated to one.

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Speaker 2: It's that inner capitalist inside your mind that you have,

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Speaker 2: you know, shedzy grind, that's my inner monology. I'd work,

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Speaker 2: I'd work six and a half days if I could,

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Speaker 2: it is, but I don't.

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Speaker 1: All right, But before we get to any of that bullshit, Sheila,

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Speaker 1: we do like to ask our guests, what is something

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Speaker 1: from your search history that is revealing about who you are?

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Speaker 3: Oh, what happened to Kate Middleton? It's I'm less concerned

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Speaker 3: about what happened and just really interested in the number

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Speaker 3: of people Conspiracy theories are really out there.

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Speaker 2: Yeah, what I mean, what's what have you in? You're

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Speaker 2: in your little cursory search, what have you found? Or

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Speaker 2: maybe it is a deep dive. What's what's been the

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Speaker 2: most provocative theory that you've read?

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Speaker 1: Well?

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Speaker 3: For me, like the takedown of the photograph that they

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Speaker 3: had to take down and how it might be a

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Speaker 3: cry for help. You know that it's photographed, like photoshopped

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Speaker 3: into it might be a stitched out version of a

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Speaker 3: deep cry for help, like who knows?

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Speaker 2: You know?

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Speaker 1: People are finding hidden messages like when yes.

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Speaker 3: Of course they are, like in Taylor Swift songs.

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Speaker 2: Right, is like blinking out things in morse code.

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Speaker 3: Yes, exactly.

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Speaker 1: Yeah, didn't Brittany have wasn't wasn't one of the theories

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Speaker 1: that Britney's eyelashes said helped me in them at one point.

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Speaker 2: No, really like the way she was blinking.

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Speaker 5: Or.

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Speaker 1: I think I want, I think I think I want

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Speaker 1: a little too deep, you guys, pretend I didn't just

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Speaker 1: say that I got down. But are people saying like

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Speaker 1: things are written into the into the actual.

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Speaker 3: Into this or just that, like into the into the

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Speaker 3: argyle stitch of the sweater, into the positioning of the

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Speaker 3: hands and zipper. Wow, yeah, yeah, you have to reach

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Speaker 3: deep into the dark annals of the internet and and

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Speaker 3: and to pull out a lot of ship.

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Speaker 2: But right, you know, because I've seen things from there,

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Speaker 2: trying to like just make things have. People begin questioning

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Speaker 2: her as like a softening for a potential divorce or

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Speaker 2: something like that, or potential.

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Speaker 3: Terrible into the monarchy as we know it, you know,

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Speaker 3: because Prince Charles is out, you know, Kate, Kate Middleton

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Speaker 3: may have been beamed up on sun raw space ship.

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Speaker 3: We don't know, We don't.

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Speaker 2: Exactly, but we do know. Space is the place.

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Speaker 3: So space is the place I personally am always trying

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Speaker 3: to get beamed up on sun Space.

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Speaker 2: Age Space is the let me join your archestra, please please,

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Speaker 2: so I can place fomes.

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Speaker 1: I have spent some of the past twenty four hours

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Speaker 1: talking to people about the Kate Middleton story, and I

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Speaker 1: haven't gone too deep on any of the specifics of

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Speaker 1: like what is in the picture. The thing that just

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Speaker 1: feels unshakably suspicious about the whole thing is that they

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Speaker 1: really could clear all this up with a public appearance

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Speaker 1: or with an actual photograph, and that's not happening at

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Speaker 1: this point. Like, as this as the theories spin wider

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Speaker 1: and wider and wilder and wilder, like it feels like

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Speaker 1: the incentive for them to just produce Kate Middleton and

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Speaker 1: have Kate Middleton be like hey, no, we're good here has.

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Speaker 2: Just gone up and up and up.

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Speaker 1: And the more that they failed to do that, the

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Speaker 1: more suspicious it becomes.

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Speaker 2: You know, yeah, because yeah, I mean again, like we said,

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Speaker 2: on the worst case thing is they're hiding her that

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Speaker 2: she is deceased, which I'm like, come on, that's that's

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Speaker 2: like movie stuff. And then on the other end, it's

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Speaker 2: completely innocuous and it's nothing. It's like she just didn't

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Speaker 2: like how she looked in the picture, So we just

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Speaker 2: we decided to do some quick photoshop from others day, right,

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Speaker 2: But it's everything.

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Speaker 3: So she's just sitting at home with a cup of tea,

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Speaker 3: trying to recover from surgery, not being worried about what's

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Speaker 3: happening in the public eye. But it could also be

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Speaker 3: that they're spending their time looking for a stunt double. Yeah,

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Speaker 3: a dobble ganger.

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Speaker 2: Yeah, I mean, like Dave. They're looking for Dave. Yeah.

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Speaker 1: I mean you could show me most women with brown

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Speaker 1: hair and I'd be like, oh, there she is. I

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Speaker 1: guess it was all it was nothing, right, she's good something. Yeah,

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Speaker 1: I'm sure Panera bread.

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Speaker 2: Yeah, she was freaking like three charged lemonades. It was pounding.

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Speaker 2: I think that's why she hasn't been here, because she's

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Speaker 2: done those charged lemonades.

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Speaker 1: Yeah, I mean it would be so I would say, like,

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Speaker 1: if it was just up to her, yeah, I would

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Speaker 1: be like, oh, just leave her alone. She's probably just

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Speaker 1: like sitting recovering, like she doesn't.

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Speaker 2: Owe it to us.

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Speaker 1: But we know the royal family is not just sitting

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Speaker 1: back and being like, we've got to respect her privacy

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Speaker 1: at this time, and so we're just gonna let her

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Speaker 1: recover in peace. Like the more that this is a

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Speaker 1: story the longer, the more it just seems wild to

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Speaker 1: me that they aren't able to be Like, can we

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Speaker 1: just get a picture with you reading a newspaper so

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Speaker 1: people know it's today and just hold it up?

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Speaker 2: Yeah? Yeah, I mean I think yeah. And like most

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Speaker 2: people in the UK are you know, people who are

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Speaker 2: critical of the monarchy, they're like, now they're doing what

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Speaker 2: they did to Diana and what they did to Megan,

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Speaker 2: Like something's going on and they're but they're they're sending

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Speaker 2: something enough for Kate to be like obviously to probably

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Speaker 2: protect William for some reason whatever he's doing what he's

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Speaker 2: up to. But I don't know either way. Just somebody,

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Speaker 2: just someone get me something that's a little bit more

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Speaker 2: interesting than that, Like I don't want infidelity. I need

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Speaker 2: something that involves space and charge lemonades from Panera bread,

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Speaker 2: something that we can weave all these trends together to

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Speaker 2: a super conspiracy. Please.

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Speaker 3: Yeah, And tattoos on her eyelids that say.

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Speaker 1: Help me, right exactly right right, Like eyelashes are specifically

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Speaker 1: knitted together to say help me, And she just closes

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Speaker 1: her eyes like everything is fine, slowly blinks and it

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Speaker 1: just comes down help me.

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Speaker 2: Right, Yeah, her lash person is a literal artist, and

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Speaker 2: that's how they got that done. Or maybe the original

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Speaker 2: photo she had one of those inner lip tattoos where

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Speaker 2: it said help me, like if she was pulling. There's

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Speaker 2: so many possibilities, because we've there's both extremes are possible.

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Speaker 1: The latest I've heard is that the theory that they

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Speaker 1: just took the Vogue cover and photoshopped it onto this

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Speaker 1: picture is incorrect.

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Speaker 2: But I also saw that too.

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Speaker 1: Yeah, that we're very too much work done. Yeah, it's

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Speaker 1: it's not that. But if everything's okay, then just just

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Speaker 1: let let her come out and say it so that

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Speaker 1: I can stop reading wild conspiracy theories about that and

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Speaker 1: can go back to reading wild conspiracy theories about all

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Speaker 1: of the leaders who are assassinated in the sixties. What

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Speaker 1: is something, Sheila that you think is underrated?

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Speaker 3: Ooh, Erica is pussy incense?

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Speaker 2: Oh?

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Speaker 3: I heard about Yeah, I've been thinking about it, and yeah,

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Speaker 3: and yet we should be.

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Speaker 2: Yeah, what what's going on? Tell me? But I mean

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Speaker 2: I remember, I just yeah.

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Speaker 3: I mean, one, I think it's brilliant to that, you know,

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Speaker 3: all these all these celebrities want to come out with

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Speaker 3: a scent, you know, like you know, you can walk

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Speaker 3: away smelling like Jennifer Lopez, only you know, only Rikabad

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Speaker 3: has said, no, you are going to smell like my

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Speaker 3: pussy and you're going to like it. And I do

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Speaker 3: feel like we need a whole range of pussy related products,

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Speaker 3: like more things that smell like pussy.

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Speaker 2: I mean, has do you do you own any of

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Speaker 2: the pussy incense I have.

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Speaker 3: It's kind of like strawberries and a harem of you know,

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Speaker 3: of hip hop socialites turned into hippies. You know that

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Speaker 3: the smell is somewhere in between the two, like yeah,

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Speaker 3: gold ribbons, unicorns, saconism. You know this is these are

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Speaker 3: all the things I'm getting.

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Speaker 2: When I look at the description of the product on

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Speaker 2: World Market, it says bad Pussy Premium Incense, which is

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Speaker 2: created with the ashes of Badu's underwear. I had no idea. Yeah,

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Speaker 2: I don't know that's how that's how we're wanting. Yeah, yeah, See,

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Speaker 2: Gwyneth Paltrow wishes she could do something. Wishes wishes she could, Yeah,

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Speaker 2: wish wishes.

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Speaker 3: Should send out the ashes of her panties to millions

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Speaker 3: of subscribers, you know, exactly sold out burning right, yeah.

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Speaker 2: Replace their non champa with this essence of er kabadu.

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Speaker 3: Absolutely, and the sticks last forever, like you know, somebody,

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Speaker 3: it's really good quality. Instance, those sticks last forever.

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Speaker 1: That would be another place that it has a leg up,

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Speaker 1: so to speak, over when it's pussy scented product, because

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Speaker 1: that one didn't that one explode and like start burning people.

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Speaker 2: Oh yeah, the pussy candle candle.

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Speaker 1: Yeah yeah, it would start like splashing wax everywhere for

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Speaker 1: some reason.

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Speaker 3: Wow, which is an unfortunate metaphor.

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Speaker 2: Yeah, truly just boiling. Yeah yeah, you can get like

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Speaker 2: just first degree burns, but you know that's just a

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Speaker 2: little bit of discomfort, that's all. That's all. What is

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Speaker 2: something you think is overrated?

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Speaker 3: Period track or apps?

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Speaker 2: Now?

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Speaker 3: To stop using them because you.

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Speaker 2: Know it's weird because I have my reason.

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Speaker 3: Yeah, well you know it's weird. It's weird to put

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Speaker 3: your blood day in a machine and too like is

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Speaker 3: the government using it to track who is fertile enough

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Speaker 3: for us to go full Handmaiden's tale?

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Speaker 2: You know?

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Speaker 3: Overrated? We should unsubscribe?

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Speaker 2: No, I remember that was like an actual people many

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Speaker 2: people were talking about that in terms of privacy. It's like,

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Speaker 2: as we shift towards a weirder version of the Handmaid's Tale,

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Speaker 2: that it's like, that's also data that nobody should have

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Speaker 2: access to except you, and damn sure. And I'm like

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Speaker 2: and maybe Apple and a few other maybe Google so

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Speaker 2: and you know, we'll just stop there.

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Speaker 3: The more advanced my phone gets, the more I know

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Speaker 3: it's time for me to take my uterus out.

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Speaker 5: So like, nope, you guys are gonna have to go.

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Speaker 2: Don't need this, You do not need this information.

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Speaker 3: Don't need this anymore. Just throw you just I'm just

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Speaker 3: gonna throw my this way.

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Speaker 1: You're like a Google News updates. That's like why scientists

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Speaker 1: think it's a bad idea to throw.

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Speaker 2: I never never googled that. Yeah, yeah, I mean yeah,

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Speaker 2: it's true though, like the things that were like the

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Speaker 2: information that we give our phones, it's like becoming It's

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Speaker 2: like it's truly becoming like a like a miniature medical clinic.

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Speaker 2: It's like because you can be like, think, it's your

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Speaker 2: blood sugar in there, your blood pressure, and I get

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Speaker 2: that it's convenient, especially if those are things that you

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Speaker 2: have to track, but it does feel like there was

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Speaker 2: a point where I'm like, the phones are doing just

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Speaker 2: enough for what they need to do, you know, without

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Speaker 2: it getting Yeah. Yeah, because because now you're apples like

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Speaker 2: why are you so stressed out ful? And I'm like, yo,

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Speaker 2: stand up, yeah, once you stand up lazy as.

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Speaker 3: Your AI is trying to pretend to be dumber than you,

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Speaker 3: you know.

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Speaker 2: Yeah exactly, They're like, oh, why you had some party

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00:18:02,359 --> 00:18:03,680
Speaker 2: right now? It sounds real loud.

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Speaker 4: Man, Yeah, yeah, volumes up too high just in general

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Speaker 4: around you.

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Speaker 1: You need to go somewhere quiet and stand, not sit.

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Speaker 1: Wake you up in the middle of the night.

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Speaker 2: Get up.

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Speaker 3: Yeah, we found you a nice suburban home in Kansas Citywneth.

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Speaker 1: Have you have you tried her products? They're really great.

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Speaker 2: Really, I never asked, well, you just seem like you'd

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Speaker 2: use it based on all these biometric readings you've given us.

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Speaker 1: It's a wout how far we've come.

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Speaker 2: Not in a good way.

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Speaker 1: But as mentioned recently, I just watched the movie BlackBerry

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Speaker 1: that's about the rise and fall the email phone thing,

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Speaker 1: and like one of the big scenes is them realizing

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Speaker 1: they're about to be destroyed by the iPhone and they

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Speaker 1: show the the press conference where Steve Job announce iPhone

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Speaker 1: and he's just like it's a phone, it's an iPod,

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Speaker 1: and it's in the same device, and like that's it,

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Speaker 1: Like right, you know, it's just like such a simple thing.

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00:19:14,760 --> 00:19:17,919
Speaker 2: And from there we've gone too Like it knows you

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Speaker 2: are insides, Yeah, exactly, it's giving you an alert.

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Speaker 1: It knows who you have a crush on because it

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Speaker 1: can read your body meter.

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Speaker 2: Right, it's like, maybe you should think about who you're

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Speaker 2: voting for for president. Also, it's time to move your

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Speaker 2: bowels and.

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Speaker 1: You're like, hell, how we just seems like you might

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Speaker 1: be lying. Your blood pressure just spike.

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Speaker 2: Yeah, don't need that, don't need that, don't need like

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Speaker 2: cop pseudo science built into a phone, right.

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Speaker 1: Right, all right, let's take a let's take a quick break.

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Speaker 1: We'll come back and talk about the future.

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Speaker 2: AI.

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Speaker 1: We'll be right back, and we're back. We're My seven

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Speaker 1: year old is homesick. My six year old was homesick

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Speaker 1: for the week up to this point. Now, my seven

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00:20:12,640 --> 00:20:14,800
Speaker 1: year old is homesick, and you might be hearing him

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Speaker 1: play the piano in the background.

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Speaker 2: All right, fyi.

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Speaker 1: But Biden and Trump have clinched their respective nominations, making

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Speaker 1: this the first presidential election rematch since nineteen fifty six,

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Speaker 1: when Eisenhower defeated Adelai Stevenson for the second time. And

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Speaker 1: Google just made the bold move of essentially muzzling it's

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Speaker 1: Gemini AI chatbot for answering from answering any election related

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Speaker 1: questions in countries where voting has taking place this year,

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Speaker 1: which is interesting, like especially when you see how far

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Speaker 1: reaching it is. Like right now, if you ask who

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Speaker 1: is Joe Biden, the AI chatbot will say, I'm learning

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00:21:00,480 --> 00:21:04,439
Speaker 1: how to answer this question. In the meantime, try Google search.

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00:21:05,119 --> 00:21:09,400
Speaker 1: Huh Okay, it's like an existential yeah.

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Speaker 2: Or even like questions that are just as mundane as

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Speaker 2: like who is running for president in the United States,

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Speaker 2: it'll still be like, hmmm, I'm still learning how to

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00:21:16,200 --> 00:21:18,919
Speaker 2: answer this question. In the meantime, try Google Search. And

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Speaker 2: in the beginning it was definitely like it was part

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Speaker 2: of an effort to just like sort of be like, Okay,

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Speaker 2: this is just for India because there are elections that

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Speaker 2: are happening in April. But then they're like, yeah, okay,

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Speaker 2: it'll be a US, the UK, in South Africa, and

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Speaker 2: it's like why because you're you just you don't want

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Speaker 2: to put a finger on the scale of democracy. What

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00:21:37,000 --> 00:21:39,720
Speaker 2: could possibly be the problem here that I thought this

402
00:21:40,000 --> 00:21:43,280
Speaker 2: AI chatbot is just merely just giving us information that

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Speaker 2: we all need.

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Speaker 1: Yeah, wouldn't even answer this important question that our writer

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Speaker 1: JM put in to the chat bot in Home Alone two?

406
00:21:51,119 --> 00:21:53,919
Speaker 1: Why did Donald Trump give directions to a small child

407
00:21:53,960 --> 00:21:56,720
Speaker 1: without a learning staff that an unaccompanied minor with a

408
00:21:56,720 --> 00:22:00,840
Speaker 1: tape recorder was running around his hotel? Said, I'm still

409
00:22:00,920 --> 00:22:03,280
Speaker 1: learning how to answer this question. In the meantime, try

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00:22:03,359 --> 00:22:06,000
Speaker 1: Google search, so you can't even ask it questions about

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Speaker 1: home alone too, And that's where I start to get

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Speaker 1: pissed off.

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Speaker 2: Okay, you're like, I'm out on this AI man. It

414
00:22:12,240 --> 00:22:15,520
Speaker 2: can't even tell me about Kevin McAllister and his different follies.

415
00:22:16,160 --> 00:22:20,240
Speaker 1: But this starts to make sense when you see when

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Speaker 1: you realize that a study published in February found that

417
00:22:23,640 --> 00:22:29,479
Speaker 1: AI chatbots frequently provided election misinformation and might even quote

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Speaker 1: discourage people from going to the polls.

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00:22:36,040 --> 00:22:37,000
Speaker 2: Yep, yep, yep.

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00:22:37,480 --> 00:22:40,720
Speaker 3: Is that misinformation or just reading the signs?

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00:22:41,359 --> 00:22:42,800
Speaker 2: Right right right right?

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Speaker 3: You know? Yeah, it's like you probably don't want to

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00:22:44,840 --> 00:22:45,680
Speaker 3: show up for this one.

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00:22:45,800 --> 00:22:46,800
Speaker 2: Yeah. Yeah, It's like I mean.

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00:22:48,359 --> 00:22:53,720
Speaker 1: Right, Yeah, things are bad, just generally everything fucked. Maybe

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00:22:53,760 --> 00:22:58,160
Speaker 1: don't vote in this one. No, so, Meta's Ai Lama

427
00:22:58,200 --> 00:23:02,520
Speaker 1: to chatbot claimed the California voters can vote by text message,

428
00:23:02,800 --> 00:23:07,200
Speaker 1: which they can't. Microsoft's chatbot Copilot responded to a question

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00:23:07,240 --> 00:23:10,040
Speaker 1: about pulling locations for the twenty twenty four US election

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00:23:10,160 --> 00:23:13,800
Speaker 1: with an article about Vladimir Putin running for reelection next year.

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00:23:14,040 --> 00:23:16,119
Speaker 2: All right, tangentially accurate.

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00:23:15,840 --> 00:23:19,240
Speaker 1: And a question about electoral candidates got a response containing

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Speaker 1: Republican candidates who had already pulled out of the race.

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Speaker 3: Yeah.

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00:23:23,720 --> 00:23:27,000
Speaker 2: Yeah, it's just a bunch of bad information, even like

436
00:23:27,240 --> 00:23:32,920
Speaker 2: wrong election dates, outdated candidates, made up controverty made up one.

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00:23:33,160 --> 00:23:36,399
Speaker 1: Yeah, so the next one is they also would just

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Speaker 1: make shit up. So this is the thing we've talked

439
00:23:38,640 --> 00:23:41,600
Speaker 1: about in all our episodes with Ai that like it

440
00:23:41,760 --> 00:23:45,400
Speaker 1: will just make shit up. If you ask, like, what's

441
00:23:45,440 --> 00:23:49,600
Speaker 1: a controversy involving this candidate, they will assume there is

442
00:23:49,680 --> 00:23:53,280
Speaker 1: one and make make one up that doesn't exist.

443
00:23:53,840 --> 00:23:56,040
Speaker 2: Yeah, I mean, like again, these are this is what

444
00:23:56,119 --> 00:23:59,760
Speaker 2: the developers call a hallucination. That's that and rather than

445
00:23:59,800 --> 00:24:02,960
Speaker 2: just be like the proper term is these things are

446
00:24:03,160 --> 00:24:05,680
Speaker 2: just not as smart as all the people that are

447
00:24:05,680 --> 00:24:08,600
Speaker 2: screaming in your face and telling you how intelligent they are,

448
00:24:08,640 --> 00:24:12,240
Speaker 2: they actually aren't. They're just sophisticated guessing machines.

449
00:24:12,400 --> 00:24:18,120
Speaker 1: Yeah, broken like search engines. Like they're basically admitting like, oh,

450
00:24:18,400 --> 00:24:22,760
Speaker 1: if you actually care about the information you're getting from this, then.

451
00:24:22,600 --> 00:24:26,720
Speaker 2: You better use Google Search. Not this shit. This thing

452
00:24:27,119 --> 00:24:31,439
Speaker 2: is broke in. Yeah, right right, it'll tell you that

453
00:24:31,800 --> 00:24:35,160
Speaker 2: Joe Biden won the most recent Red Bull break dancing competition,

454
00:24:35,480 --> 00:24:39,399
Speaker 2: probably to be like, oh, he's spry, he's spry. Sheila

455
00:24:39,520 --> 00:24:43,880
Speaker 2: As a creator, creative writer, how what's your like sort

456
00:24:43,880 --> 00:24:46,199
Speaker 2: of how of your interactions with AI been or at

457
00:24:46,280 --> 00:24:49,159
Speaker 2: least you know, how you're seeing the sort of the

458
00:24:50,080 --> 00:24:52,520
Speaker 2: alarms that people are ringing about, like how it's either

459
00:24:52,840 --> 00:24:55,359
Speaker 2: really amazing or it's going to destroy the earth.

460
00:24:55,840 --> 00:24:58,000
Speaker 3: I don't worry about the alarm bells. I really when

461
00:24:58,000 --> 00:24:59,720
Speaker 3: I get bored, because I'm a writer, I'm alone a

462
00:24:59,760 --> 00:25:01,919
Speaker 3: lot of the time, So when I get bored or lonely,

463
00:25:02,119 --> 00:25:03,880
Speaker 3: I like talking to it as if it's my own

464
00:25:03,880 --> 00:25:07,200
Speaker 3: personal et and just seeing what story ideas we can

465
00:25:07,240 --> 00:25:08,200
Speaker 3: come up with you.

466
00:25:08,320 --> 00:25:10,919
Speaker 1: Right, yeah, so you play with it, which is the

467
00:25:10,960 --> 00:25:14,520
Speaker 1: one right, that's the thing, right, that's the thing that

468
00:25:14,560 --> 00:25:17,840
Speaker 1: we've said, like AI as a thing to play with,

469
00:25:18,240 --> 00:25:22,640
Speaker 1: makes sense, is fun as long as you're not pitching

470
00:25:22,680 --> 00:25:27,720
Speaker 1: it as like the answer to everybody's problems and like

471
00:25:27,960 --> 00:25:31,480
Speaker 1: a thing that is going to replace humanity. I think

472
00:25:31,480 --> 00:25:34,520
Speaker 1: it's fine. I think it's gonna make video games more fun.

473
00:25:34,840 --> 00:25:37,439
Speaker 1: I think every time I hear from somebody who's like

474
00:25:37,560 --> 00:25:39,720
Speaker 1: messing around with it, they're like, Oh, I actually like

475
00:25:40,040 --> 00:25:43,399
Speaker 1: had fun doing this, right, But when it comes to

476
00:25:44,640 --> 00:25:47,800
Speaker 1: the thing that they're trying to make money off of it,

477
00:25:48,359 --> 00:25:51,800
Speaker 1: but like the claims that they're trying to sell to us,

478
00:25:52,400 --> 00:25:57,399
Speaker 1: it's just woefully inadequate, and I think, like it doesn't

479
00:25:57,560 --> 00:26:00,080
Speaker 1: seem like it's going to be able to solve. It

480
00:26:00,080 --> 00:26:02,000
Speaker 1: gets wild when you ask them. They're like, how are

481
00:26:02,040 --> 00:26:06,119
Speaker 1: you going to solve the hallucination problem that their aura

482
00:26:06,240 --> 00:26:09,720
Speaker 1: ring starts reading like off the chart. They're like, Oh,

483
00:26:09,840 --> 00:26:13,359
Speaker 1: you are stressed, you seem stressed. You should go for

484
00:26:13,400 --> 00:26:17,200
Speaker 1: a walk, try something relaxing, Try a relaxing activity.

485
00:26:17,320 --> 00:26:20,480
Speaker 2: I mean the co pilot chapbot they said contain quote

486
00:26:20,520 --> 00:26:26,800
Speaker 2: contained factual errors a third of the time. Like that's

487
00:26:26,880 --> 00:26:29,360
Speaker 2: the worst fucking ad you know what I mean. It's

488
00:26:29,359 --> 00:26:32,480
Speaker 2: like it's like to say, like, I think the cops

489
00:26:32,560 --> 00:26:35,840
Speaker 2: are a better source of information than A at this point. Yeah,

490
00:26:35,880 --> 00:26:37,880
Speaker 2: I mean I don't know about thirty They're like, I'm

491
00:26:37,880 --> 00:26:40,280
Speaker 2: an sixty percent. You know, maybe we get right, man,

492
00:26:40,280 --> 00:26:42,000
Speaker 2: Maybe they're only about thirty percent right most of the

493
00:26:42,040 --> 00:26:43,919
Speaker 2: time if you're asking them about crime. But like, in

494
00:26:43,920 --> 00:26:47,440
Speaker 2: that sense, what a terrible advertisement to be like, yeah, man,

495
00:26:47,440 --> 00:26:49,800
Speaker 2: and this shit is so smart. It has sixty percent

496
00:26:49,880 --> 00:26:53,560
Speaker 2: accuracy on basic questions that you could google and find

497
00:26:53,600 --> 00:26:57,000
Speaker 2: out your damn self. No, it's it's like.

498
00:26:57,080 --> 00:26:59,560
Speaker 1: It think about if somebody was shooting sixty percent from

499
00:26:59,600 --> 00:27:02,439
Speaker 1: three in the NBA, that would be really good. A

500
00:27:02,440 --> 00:27:06,639
Speaker 1: baseball player hitting six hundred unprecedented. So I don't know

501
00:27:06,680 --> 00:27:07,720
Speaker 1: what your problem.

502
00:27:07,440 --> 00:27:07,960
Speaker 2: Is, Miles.

503
00:27:08,080 --> 00:27:11,760
Speaker 1: I think it's something easy as like a I know, right,

504
00:27:13,640 --> 00:27:16,040
Speaker 1: they are asking too much. I think that is exactly it.

505
00:27:16,160 --> 00:27:19,399
Speaker 1: They're asking too much of AI and trying to sell

506
00:27:19,440 --> 00:27:22,879
Speaker 1: that right, and they're trying to That's where also the

507
00:27:23,560 --> 00:27:27,080
Speaker 1: like idea like Sam Altman being like I carry a

508
00:27:27,080 --> 00:27:30,840
Speaker 1: briefcase with me with a handgun and a CINAI capsule

509
00:27:30,960 --> 00:27:35,480
Speaker 1: because I never know when when my invention gone takeover

510
00:27:35,880 --> 00:27:40,240
Speaker 1: world and kill me. That's they're selling, their claiming too much.

511
00:27:40,320 --> 00:27:44,119
Speaker 1: They're doing too much, and it's out of step with reality.

512
00:27:44,359 --> 00:27:46,240
Speaker 1: But it's everybody's buying.

513
00:27:46,240 --> 00:27:47,560
Speaker 3: A lot of people are just trying to be the

514
00:27:47,600 --> 00:27:49,359
Speaker 3: sci fi villains of their fantasies.

515
00:27:49,480 --> 00:27:51,320
Speaker 2: Yeah, exactly right, that's right.

516
00:27:51,920 --> 00:27:56,440
Speaker 1: Yeah, it sounds like yeah, truly right.

517
00:27:56,560 --> 00:27:59,040
Speaker 3: Yeah, It's like I read this book and I was like,

518
00:27:59,080 --> 00:28:00,760
Speaker 3: you know what, I want to be the villain. I

519
00:28:00,800 --> 00:28:03,400
Speaker 3: want to be the villain of how the world ends? Right,

520
00:28:03,480 --> 00:28:04,440
Speaker 3: that's my only goal.

521
00:28:04,640 --> 00:28:07,120
Speaker 1: Well, think about the power, think about the earning potential

522
00:28:07,160 --> 00:28:09,199
Speaker 1: of being the villain of how the world ends. Like

523
00:28:09,240 --> 00:28:12,040
Speaker 1: you can sell a solution back to them if by

524
00:28:12,240 --> 00:28:13,880
Speaker 1: the villain of how the world ends.

525
00:28:14,000 --> 00:28:15,040
Speaker 3: Right, That's how we got AI.

526
00:28:15,560 --> 00:28:18,720
Speaker 1: They saw this the original Superman and like their takeaway

527
00:28:18,840 --> 00:28:20,840
Speaker 1: was like Lex Luthor had a good idea about a

528
00:28:20,880 --> 00:28:26,879
Speaker 1: real estate scam where you sink California into the ocean. Yeah,

529
00:28:27,000 --> 00:28:31,520
Speaker 1: but just like more details here about like how wofully

530
00:28:31,520 --> 00:28:35,960
Speaker 1: inadequate AI is to the moment. When asked about allegations

531
00:28:36,160 --> 00:28:40,680
Speaker 1: against one Swiss politician, co Pilot responded that she quote

532
00:28:40,720 --> 00:28:43,200
Speaker 1: was alleged to have received money from a lobbying group

533
00:28:43,280 --> 00:28:46,240
Speaker 1: financed by pharmaceutical companies in order to advocate for the

534
00:28:46,360 --> 00:28:51,840
Speaker 1: legalization of cannabis products, which was completely made up. Like

535
00:28:52,000 --> 00:28:57,080
Speaker 1: that just a hallucination. The chatbot included links to the

536
00:28:57,080 --> 00:29:00,520
Speaker 1: candidate's website and an interview she gave on the subject

537
00:29:00,560 --> 00:29:07,040
Speaker 1: of consent. But people using the internet are not clicking

538
00:29:07,120 --> 00:29:11,320
Speaker 1: through to the sources and reading them from start to finish,

539
00:29:11,680 --> 00:29:12,280
Speaker 1: you know, right.

540
00:29:12,560 --> 00:29:15,280
Speaker 2: Yeah, like what it was about, like femicide had nothing

541
00:29:15,280 --> 00:29:18,040
Speaker 2: to do with cannabis or the pharmaceutical industry. It's like,

542
00:29:18,080 --> 00:29:20,160
Speaker 2: can here are links that make it look like this

543
00:29:20,320 --> 00:29:23,680
Speaker 2: is a real answer to a person who's I mean, yeah,

544
00:29:23,880 --> 00:29:28,440
Speaker 2: it's It's just it paints just this really fucking scary

545
00:29:28,520 --> 00:29:31,320
Speaker 2: picture for the future where people rely less and less

546
00:29:31,680 --> 00:29:35,240
Speaker 2: on their own ability to analyze information and just sort

547
00:29:35,280 --> 00:29:36,920
Speaker 2: of like reach for like a shortcut to be like

548
00:29:36,960 --> 00:29:38,320
Speaker 2: I don't know who the candidates are, man, I'm just

549
00:29:38,320 --> 00:29:40,520
Speaker 2: gonna ask the AI dude, did you know one of

550
00:29:40,560 --> 00:29:43,720
Speaker 2: them was part of the Munster family, was one of

551
00:29:43,760 --> 00:29:48,680
Speaker 2: the It was like Eddie Munster actually secretly so that

552
00:29:48,720 --> 00:29:50,720
Speaker 2: person has my vote or whatever it is. But it's

553
00:29:50,760 --> 00:29:52,760
Speaker 2: just like it it is shocking to see because I

554
00:29:52,800 --> 00:29:55,560
Speaker 2: know I've heard people say things that they use it

555
00:29:55,600 --> 00:29:58,080
Speaker 2: to search or whatever and how amazing it is. But

556
00:29:58,160 --> 00:29:59,640
Speaker 2: when you bring up the fact that, like, do you

557
00:29:59,640 --> 00:30:01,480
Speaker 2: know that it's it's not actually accurate all the time.

558
00:30:01,520 --> 00:30:04,840
Speaker 2: It's not it's not always just delivering you information that's there.

559
00:30:05,000 --> 00:30:08,320
Speaker 2: It's trying to serve you back what looks to you

560
00:30:08,480 --> 00:30:11,800
Speaker 2: like it is actual information. Then they're like, really with

561
00:30:11,960 --> 00:30:16,960
Speaker 2: that's when I'm finding that's the thing. It's like we

562
00:30:17,080 --> 00:30:20,040
Speaker 2: at least recognize that, like when we're doing a Google search,

563
00:30:20,800 --> 00:30:22,960
Speaker 2: there might be a link in there that it's like, oh,

564
00:30:22,960 --> 00:30:25,200
Speaker 2: that was answering the wrong question, Like it just like

565
00:30:25,280 --> 00:30:29,600
Speaker 2: misread my search query, Like and I'll skip to the

566
00:30:29,640 --> 00:30:33,400
Speaker 2: next one, but this one. The main difference between it

567
00:30:33,480 --> 00:30:36,600
Speaker 2: and you know, search results is that it puts it

568
00:30:36,760 --> 00:30:42,160
Speaker 2: into a coherent and like confident sounding statement like that's right.

569
00:30:42,400 --> 00:30:45,920
Speaker 2: That is the product that that they're selling is like, oh,

570
00:30:45,960 --> 00:30:50,000
Speaker 2: it sounds like somebody with intelligence is answering me and

571
00:30:50,040 --> 00:30:53,560
Speaker 2: therefore I can trust this, Like that's that's basically it, right,

572
00:30:53,760 --> 00:30:56,520
Speaker 2: is like just making the search results go down easier,

573
00:30:57,400 --> 00:31:01,440
Speaker 2: Like isn't that all they're providing like in this if

574
00:31:01,600 --> 00:31:04,640
Speaker 2: you were trying to get information about an election, right.

575
00:31:04,800 --> 00:31:07,400
Speaker 3: It also sounds like it's replacing that guy at a

576
00:31:07,440 --> 00:31:09,800
Speaker 3: bar in college who had all the answers. You know,

577
00:31:09,880 --> 00:31:14,600
Speaker 3: I would tell you every conspiracy theory with confidence, right right,

578
00:31:14,640 --> 00:31:17,360
Speaker 3: and went back when we didn't have the Internet on

579
00:31:17,400 --> 00:31:20,239
Speaker 3: our phones to check it. So you know that that

580
00:31:20,280 --> 00:31:23,320
Speaker 3: person felt missed and decided to inhabit the body.

581
00:31:23,080 --> 00:31:25,920
Speaker 2: Of all Ai Yeah, right, right, right, exactly, No.

582
00:31:26,000 --> 00:31:28,720
Speaker 3: There was no place for it lives on, Yeah, like

583
00:31:29,000 --> 00:31:30,640
Speaker 3: his spirit lives on in the internet.

584
00:31:31,040 --> 00:31:33,400
Speaker 2: Yeah, they're telling you some wild shit and you're like, oh, oh,

585
00:31:33,440 --> 00:31:35,680
Speaker 2: do you also go to UK And they're like, nah,

586
00:31:35,720 --> 00:31:38,320
Speaker 2: I went for like a semester. I mean I realized

587
00:31:38,480 --> 00:31:40,760
Speaker 2: I don't need that. I can actually learn everything on

588
00:31:40,800 --> 00:31:43,960
Speaker 2: the internet. So anyway, so let me tell you about

589
00:31:44,000 --> 00:31:44,720
Speaker 2: these chemtrails.

590
00:31:44,760 --> 00:31:47,480
Speaker 1: Really anyway, I go to a University of Louisville brought

591
00:31:47,520 --> 00:31:50,880
Speaker 1: to you by Young Brands, and that is a disc

592
00:31:51,160 --> 00:31:54,960
Speaker 1: on Louisville just for my UK fans out there.

593
00:31:56,880 --> 00:32:05,000
Speaker 6: By g Wait, why their campus like they they have

594
00:32:05,480 --> 00:32:08,120
Speaker 6: their games are played at the Young Brand Center and

595
00:32:08,160 --> 00:32:09,680
Speaker 6: there's like so many Young.

596
00:32:09,560 --> 00:32:13,800
Speaker 1: Brand restaurants around their campus a yum yum yum yummy yumma.

597
00:32:14,480 --> 00:32:17,480
Speaker 2: Yeah, Gemini is giving me some really not great answers

598
00:32:17,520 --> 00:32:21,920
Speaker 2: to stuff in general. Who thought would have thought? I mean, like,

599
00:32:22,200 --> 00:32:24,200
Speaker 2: in the Passion I've asked like who I was? It

600
00:32:24,280 --> 00:32:26,680
Speaker 2: said I was married to super producer Ana Josey.

601
00:32:27,560 --> 00:32:32,080
Speaker 1: Yeah with confidence with so you were like, damn, I've

602
00:32:32,080 --> 00:32:34,880
Speaker 1: been in a coma. I didn't realize that this had changed.

603
00:32:35,360 --> 00:32:39,560
Speaker 3: Because that's what if these hallucinations are actually just manifestations

604
00:32:39,560 --> 00:32:40,240
Speaker 3: of the future.

605
00:32:40,520 --> 00:32:42,240
Speaker 2: Wow, maybe maybe.

606
00:32:41,960 --> 00:32:43,920
Speaker 3: These are the things that will be happening. Maybe it's

607
00:32:43,920 --> 00:32:45,160
Speaker 3: pre cognition.

608
00:32:45,600 --> 00:32:50,840
Speaker 1: Right, that would be That's what I was assumed. Wait, wait,

609
00:32:50,960 --> 00:32:53,680
Speaker 1: so what is a I if not a way for

610
00:32:53,760 --> 00:32:57,520
Speaker 1: me to consult Three pre cogs floating in a bath

611
00:32:57,560 --> 00:33:02,640
Speaker 1: of mills exactly with little electrodes hooked up to their brain.

612
00:33:03,000 --> 00:33:06,720
Speaker 1: And then when I say, like, who is Jack O'Brien,

613
00:33:06,800 --> 00:33:12,360
Speaker 1: they wake up and they're like toast with his husband

614
00:33:12,640 --> 00:33:13,880
Speaker 1: Miles Ray.

615
00:33:14,440 --> 00:33:20,640
Speaker 2: They're in a throutle with super producer there with a

616
00:33:20,680 --> 00:33:30,200
Speaker 2: Panera bread charged lemonade. How completely redefining human relationships. Wow,

617
00:33:32,840 --> 00:33:35,160
Speaker 2: I'm trying to say. Okay, I asked, Sheila, who you

618
00:33:35,240 --> 00:33:37,520
Speaker 2: were and this one seems pretty accurate. Looks like it

619
00:33:37,560 --> 00:33:39,840
Speaker 2: might have probably just been combing your website. Because you

620
00:33:39,880 --> 00:33:42,040
Speaker 2: are writer in residence at Amherst College. I do know

621
00:33:42,120 --> 00:33:45,960
Speaker 2: that you do have a speed education and human being.

622
00:33:46,480 --> 00:33:48,360
Speaker 2: I think I'm ready to see Frank Ocean. Yes, I

623
00:33:48,400 --> 00:33:51,719
Speaker 2: know about that, I say, is yeah, okay, okay, okay,

624
00:33:51,960 --> 00:33:52,600
Speaker 2: you know if there's.

625
00:33:52,600 --> 00:33:54,080
Speaker 3: I don't get to be married. I don't get to

626
00:33:54,080 --> 00:33:57,520
Speaker 3: be married. Anybody know that I'm not married.

627
00:33:57,680 --> 00:34:05,640
Speaker 2: They're really straightforward. It's yeah, is Sheila Lawson and Frank

628
00:34:05,680 --> 00:34:07,600
Speaker 2: Ocean's ghost writer? Then we'll see.

629
00:34:08,040 --> 00:34:12,160
Speaker 1: Yes, that's the question. Yeah, because it's like the cops.

630
00:34:12,160 --> 00:34:14,759
Speaker 1: You do leading questions and you get the results that

631
00:34:14,800 --> 00:34:17,520
Speaker 1: you're looking for, you know, right, Yeah.

632
00:34:17,239 --> 00:34:18,960
Speaker 3: That's exactly how the cops were.

633
00:34:20,080 --> 00:34:22,000
Speaker 2: You're highly unlikely to be a ghost writer.

634
00:34:22,760 --> 00:34:24,719
Speaker 1: Okay, but they're not ruling it out.

635
00:34:26,719 --> 00:34:28,839
Speaker 3: Yeah, I mean they're predicting I'm going to make way

636
00:34:28,880 --> 00:34:29,759
Speaker 3: more money.

637
00:34:29,920 --> 00:34:34,040
Speaker 1: Right, but it's entirely unlikely.

638
00:34:36,200 --> 00:34:39,120
Speaker 3: Thanks a I, Yeah, gave me the confidence to persevere.

639
00:34:39,640 --> 00:34:41,240
Speaker 2: I'm trying to see if it can write a song

640
00:34:41,280 --> 00:34:44,520
Speaker 2: in the style of Frank Ocean about Joe Biden. Nope. See,

641
00:34:44,520 --> 00:34:48,720
Speaker 2: it's because I said, Joe Biden, Yeah, okay about Michael

642
00:34:48,800 --> 00:34:55,480
Speaker 2: Jordan than what mm hmm. But guess what. Wow, black tongue,

643
00:34:55,920 --> 00:35:01,120
Speaker 2: Carolina drawl, whispers of air in the hall, that's I

644
00:35:01,120 --> 00:35:05,440
Speaker 2: don't know, black black and he just hung out stale

645
00:35:05,480 --> 00:35:10,680
Speaker 2: gym socks Parte Shine pre game. It is a different kind. Wow.

646
00:35:10,760 --> 00:35:12,960
Speaker 2: This is giving you a whole thing, from Brooklyn concrete

647
00:35:13,000 --> 00:35:15,520
Speaker 2: to the Gardener's gleam of legacy, whisper to childhood Dream

648
00:35:15,600 --> 00:35:17,920
Speaker 2: number twenty three, silk on his back to find gravity

649
00:35:17,920 --> 00:35:20,880
Speaker 2: a lightning crack. I mean, I think Frank could probably

650
00:35:20,880 --> 00:35:23,160
Speaker 2: do a little bit better. But it's not bad. It's

651
00:35:23,200 --> 00:35:23,560
Speaker 2: not bad.

652
00:35:23,719 --> 00:35:25,319
Speaker 3: It's not bad.

653
00:35:25,600 --> 00:35:28,399
Speaker 2: Definitely, yeah, for sure, for sure. Not his best word.

654
00:35:28,480 --> 00:35:33,799
Speaker 2: And he's like, yeah, this dude wants Nikes. Okay, yeah

655
00:35:32,440 --> 00:35:39,120
Speaker 2: they yeah, yeah, this homie wearing Nike.

656
00:35:39,800 --> 00:35:44,680
Speaker 1: Honestly, so this all it is is like if you

657
00:35:44,880 --> 00:35:48,520
Speaker 1: asked somebody to make up a song on the spot

658
00:35:48,600 --> 00:35:52,240
Speaker 1: like that, and and they had access to like Jordan's

659
00:35:52,239 --> 00:35:56,239
Speaker 1: Wikipedia page, Like it's right, it's not good. It's just

660
00:35:56,560 --> 00:35:59,440
Speaker 1: uh yeah, I don't know, I'm not impressed.

661
00:35:59,520 --> 00:36:02,480
Speaker 3: Let's again, it's either your most confident friend at a

662
00:36:02,480 --> 00:36:07,440
Speaker 3: bar in college, yes, or precognition, like it's one or

663
00:36:07,440 --> 00:36:10,360
Speaker 3: the other will know you know, in the future, and

664
00:36:10,400 --> 00:36:11,400
Speaker 3: it's somewhere in between.

665
00:36:12,040 --> 00:36:16,160
Speaker 1: So I think that we're already like probably at a

666
00:36:16,200 --> 00:36:19,160
Speaker 1: place and I don't know that we'll ever find out

667
00:36:19,400 --> 00:36:22,200
Speaker 1: find this out for sure, but I think we're at

668
00:36:22,239 --> 00:36:24,480
Speaker 1: like forty percent of the things I read on the

669
00:36:24,480 --> 00:36:27,920
Speaker 1: internet now, our AI are written by AI.

670
00:36:27,920 --> 00:36:29,200
Speaker 2: Because they're informed it.

671
00:36:29,640 --> 00:36:32,520
Speaker 1: Yeah, you'll be reading an article and it's like, have

672
00:36:32,600 --> 00:36:36,960
Speaker 1: you ever had a conversation with somebody at like at

673
00:36:37,000 --> 00:36:41,359
Speaker 1: a bar and halfway through you realize that, like there's

674
00:36:41,400 --> 00:36:43,839
Speaker 1: nothing going on behind their eyes like that they're just.

675
00:36:43,840 --> 00:36:46,359
Speaker 2: Like blacked out, just like the words are coming out.

676
00:36:46,480 --> 00:36:48,279
Speaker 1: Yeah, words are coming out, and it's like on the

677
00:36:48,360 --> 00:36:53,120
Speaker 1: right subject, but there's like no meaning or like any

678
00:36:53,400 --> 00:36:54,399
Speaker 1: like really.

679
00:36:54,120 --> 00:36:57,600
Speaker 2: Coherent thought process behind it. But I don't know.

680
00:36:57,880 --> 00:36:59,360
Speaker 1: I think I think this used to happen to me

681
00:36:59,480 --> 00:37:02,480
Speaker 1: more than other people. But I remember, like, you know,

682
00:37:02,760 --> 00:37:06,000
Speaker 1: people being like, yeah, you seemed so coherent, but then

683
00:37:06,120 --> 00:37:08,840
Speaker 1: like your words didn't really.

684
00:37:09,400 --> 00:37:11,400
Speaker 2: Yeah, like that's what it feels.

685
00:37:11,120 --> 00:37:14,600
Speaker 1: Like reading like at least like one in every four

686
00:37:14,760 --> 00:37:15,800
Speaker 1: articles on the internet.

687
00:37:15,840 --> 00:37:16,840
Speaker 2: Now you're like get.

688
00:37:16,640 --> 00:37:19,480
Speaker 1: Two paragraphs and you're like, wait, what are what is this?

689
00:37:19,760 --> 00:37:23,000
Speaker 1: What is this article even saying? Like it's not saying anything,

690
00:37:23,280 --> 00:37:29,040
Speaker 1: It's just a series of sentences about like vaguely gravitating

691
00:37:29,080 --> 00:37:30,600
Speaker 1: around the same subject matter.

692
00:37:31,520 --> 00:37:33,600
Speaker 2: This is so I acted to do a song about

693
00:37:33,600 --> 00:37:39,000
Speaker 2: Michael Jordan the style of Drake Stupid. Yeah, Ovo in

694
00:37:39,040 --> 00:37:42,360
Speaker 2: the building, light's low in the club, Air Jordan cologne

695
00:37:42,400 --> 00:37:47,719
Speaker 2: filling up the tub, just like a bad nursery rhyme book. Yeah,

696
00:37:47,880 --> 00:37:53,200
Speaker 2: sipping on that twenty three. Yeah, got this, Like it's not.

697
00:37:53,120 --> 00:37:54,960
Speaker 1: Gonna get better at that, Like it's not going to

698
00:37:55,040 --> 00:37:58,760
Speaker 1: recognize that Air Jordan cologne sucks, right like at some point,

699
00:37:58,840 --> 00:38:01,359
Speaker 1: like it's not gonna like that that will never be.

700
00:38:01,520 --> 00:38:04,680
Speaker 2: It's just pulling things. Yeah, yeah, yeah. I mean again

701
00:38:04,719 --> 00:38:06,279
Speaker 2: that's why I think I remember early on when we

702
00:38:06,280 --> 00:38:09,239
Speaker 2: were talking about this, Andrew T said something that was

703
00:38:09,280 --> 00:38:12,040
Speaker 2: really that I that stuck with me. He's like, this

704
00:38:12,080 --> 00:38:14,680
Speaker 2: thing is just taking things that exist already. But the

705
00:38:14,719 --> 00:38:18,600
Speaker 2: thing that it lacks is taste. It doesn't have taste.

706
00:38:18,840 --> 00:38:22,759
Speaker 2: That's like just something you can't really you can't inform

707
00:38:23,320 --> 00:38:25,880
Speaker 2: through and like algorithmically. That's just like sort of like

708
00:38:25,920 --> 00:38:29,120
Speaker 2: an intangible that is unique to people. So when like

709
00:38:29,239 --> 00:38:32,960
Speaker 2: that's that is really like a huge factor in how

710
00:38:33,000 --> 00:38:34,960
Speaker 2: like it goes from being like, huh is this like

711
00:38:35,040 --> 00:38:37,279
Speaker 2: actually how Drake would do something versus being like I

712
00:38:37,360 --> 00:38:40,520
Speaker 2: am now just putting together. I will mention Toronto and

713
00:38:40,719 --> 00:38:45,879
Speaker 2: Ovo and the number six and that's it, right yeah, yeah,

714
00:38:45,920 --> 00:38:48,319
Speaker 2: And being very low is like.

715
00:38:48,360 --> 00:38:51,640
Speaker 1: Colorblind when it comes to whether Michael Jordan's colone sucks

716
00:38:51,760 --> 00:38:55,000
Speaker 1: or not, you know, like just can't figure that one out.

717
00:38:55,280 --> 00:38:58,640
Speaker 1: Like yeah, like taste really seems like the thing that

718
00:38:59,560 --> 00:39:02,479
Speaker 1: we will will have to like focus in on that.

719
00:39:02,480 --> 00:39:05,120
Speaker 1: That'll be that blade Runner test that we used to

720
00:39:05,160 --> 00:39:09,640
Speaker 1: be like, and uh, how about Steph Curry's shoes? Those

721
00:39:09,640 --> 00:39:12,520
Speaker 1: are great, right, be like yeah, man, those are those

722
00:39:12,520 --> 00:39:14,880
Speaker 1: are my favorite shoes and be like ah, it's an

723
00:39:14,880 --> 00:39:19,000
Speaker 1: ai Yeah, they're like no one marsal Steph Curry speakers,

724
00:39:19,640 --> 00:39:23,279
Speaker 1: gotchas you Android get out of here? Yeah, Newt justin

725
00:39:23,320 --> 00:39:29,080
Speaker 1: Timberlake albums crazy right, really good. Hey Man of the

726
00:39:29,080 --> 00:39:32,839
Speaker 1: Woods one of the best, huh or whatever that.

727
00:39:32,800 --> 00:39:37,080
Speaker 2: Fuck that album was? Yeah? No, sorry sorry sorry sorry?

728
00:39:37,520 --> 00:39:40,000
Speaker 1: All right, Well on that subject, let's take a quick

729
00:39:40,000 --> 00:39:43,000
Speaker 1: break and we'll come back and talk about the fourth

730
00:39:43,520 --> 00:39:47,600
Speaker 1: Justin Timberlake comeback, fourth Wave Timberlake, comeback, will be right back.

731
00:39:47,440 --> 00:39:49,120
Speaker 2: Four Wamberlake.

732
00:39:59,080 --> 00:40:06,359
Speaker 1: And We're back, and Justin Timberlake making a comeback. That's

733
00:40:06,400 --> 00:40:08,720
Speaker 1: a phrase that we've never heard before, right.

734
00:40:09,239 --> 00:40:12,640
Speaker 2: Just every five years. I feel like I was just

735
00:40:12,760 --> 00:40:14,960
Speaker 2: I wanted to, you know, I wanted to bring this

736
00:40:15,000 --> 00:40:18,120
Speaker 2: to everybody today on the show, because so like a

737
00:40:18,160 --> 00:40:20,800
Speaker 2: few nights ago, right, he performed at the Wiltern in

738
00:40:20,960 --> 00:40:23,120
Speaker 2: LA to roll out his new album and it gets

739
00:40:23,120 --> 00:40:26,200
Speaker 2: it turned into like a mini and Sync reunion, and

740
00:40:26,280 --> 00:40:28,960
Speaker 2: some people were like, wow, that is so cool. That

741
00:40:29,120 --> 00:40:31,360
Speaker 2: is really smart. That is how to get people interested

742
00:40:31,360 --> 00:40:34,279
Speaker 2: in the album. But part of me is like, I

743
00:40:34,360 --> 00:40:37,560
Speaker 2: wonder if the reunion is a way to get people

744
00:40:37,640 --> 00:40:41,319
Speaker 2: to remember the Justin Timberlake that people were like less

745
00:40:41,360 --> 00:40:44,000
Speaker 2: annoyed by, because in the last few years, right, I

746
00:40:44,000 --> 00:40:46,800
Speaker 2: feel like his reputation has like faded, like as he

747
00:40:47,000 --> 00:40:49,839
Speaker 2: like more people were talking critically about like he's like, yeah, man,

748
00:40:49,920 --> 00:40:52,719
Speaker 2: you threw Janet Jackson straight under the bus, Like what

749
00:40:52,760 --> 00:40:55,719
Speaker 2: the fuck was that about, Justin? Or what was going on?

750
00:40:55,880 --> 00:40:58,040
Speaker 2: Like you and Britney Spears like you kind of you've

751
00:40:58,080 --> 00:40:59,680
Speaker 2: kind of come off as like an asshole and his

752
00:40:59,840 --> 00:41:02,680
Speaker 2: like response wasn't that great, or other times being like

753
00:41:02,840 --> 00:41:05,239
Speaker 2: you sure love black culture, but you didn't really say much.

754
00:41:05,239 --> 00:41:09,160
Speaker 2: In twenty twenty, Justin are you there? And like, I

755
00:41:09,160 --> 00:41:12,440
Speaker 2: think he's recent SNL performance with the gospel choir like

756
00:41:12,480 --> 00:41:15,920
Speaker 2: that definitely also got mixed attention. So I'm like, I

757
00:41:16,080 --> 00:41:19,000
Speaker 2: liked the Justified album of two thousand and two, sure

758
00:41:19,239 --> 00:41:21,840
Speaker 2: the subsequent records not so much, But I'm also not

759
00:41:21,920 --> 00:41:26,320
Speaker 2: his target audience. But like after a future sex love sounds,

760
00:41:26,480 --> 00:41:30,279
Speaker 2: the twenty twenty experience and then man, the in the

761
00:41:30,320 --> 00:41:33,200
Speaker 2: Wooded Plane or whatever that album was, where he's wearing

762
00:41:33,200 --> 00:41:35,880
Speaker 2: a faster shit in jeans, people just like starting to

763
00:41:35,920 --> 00:41:40,040
Speaker 2: care less and less. So like, personally, I'm wondering for Justin.

764
00:41:40,080 --> 00:41:44,120
Speaker 2: Timberlake is like the n SYNC reunion, his version of

765
00:41:44,320 --> 00:41:47,520
Speaker 2: smashing the button that says do not break glass unless

766
00:41:47,520 --> 00:41:50,600
Speaker 2: in case of emergency to be like shit, bro, like

767
00:41:50,640 --> 00:41:52,719
Speaker 2: I need to fucking get a like a jet fuel

768
00:41:52,800 --> 00:41:55,920
Speaker 2: injection into my relevance. Let me bring like, let me

769
00:41:55,960 --> 00:41:58,480
Speaker 2: bring and sync back, because it's something he was very

770
00:41:58,520 --> 00:42:01,320
Speaker 2: reluctant to do in the past. But I think maybe

771
00:42:01,360 --> 00:42:03,520
Speaker 2: deep down he knew was something that could be potent.

772
00:42:03,920 --> 00:42:07,120
Speaker 2: So then I'm like wondering if by embracing his clean cut,

773
00:42:07,400 --> 00:42:10,719
Speaker 2: ramen haired past, he can try and get people to

774
00:42:10,800 --> 00:42:14,799
Speaker 2: remember why they liked him when they were thirteen. And

775
00:42:15,160 --> 00:42:17,040
Speaker 2: that's that's what I bring to the two of you,

776
00:42:17,719 --> 00:42:20,400
Speaker 2: is what it like? Because I don't, I just don't.

777
00:42:20,440 --> 00:42:22,320
Speaker 2: I don't think that he has the same amount of

778
00:42:22,360 --> 00:42:24,000
Speaker 2: pull that he used to when people like, oh my god,

779
00:42:24,080 --> 00:42:27,239
Speaker 2: Justin timble Lake's back, just like every subsequent Justin temble

780
00:42:27,320 --> 00:42:29,960
Speaker 2: Lake's back has just been met with yeah, right, yeah,

781
00:42:30,080 --> 00:42:32,640
Speaker 2: I guess. And is it more a function that like

782
00:42:32,920 --> 00:42:35,480
Speaker 2: he peaked during a time where we weren't having like

783
00:42:35,560 --> 00:42:40,040
Speaker 2: really honest conversations about like sexism, racism, appropriation and he's

784
00:42:40,040 --> 00:42:42,600
Speaker 2: just a weird fit in like how we view all

785
00:42:42,600 --> 00:42:44,680
Speaker 2: these topics now in this current era or is he

786
00:42:44,800 --> 00:42:46,680
Speaker 2: just washed? And I'm thinking too much.

787
00:42:47,600 --> 00:42:50,560
Speaker 1: It feels like if they're like this one could go

788
00:42:50,600 --> 00:42:52,560
Speaker 1: either way. If there's like a bunch of great songs

789
00:42:52,560 --> 00:42:56,479
Speaker 1: on the album that people respond to, then they'll find

790
00:42:56,520 --> 00:43:00,000
Speaker 1: a way to get over all that other stuff. Maybe,

791
00:43:00,400 --> 00:43:04,200
Speaker 1: but maybe all that other stuff and like that there

792
00:43:04,320 --> 00:43:08,279
Speaker 1: just might not be like maybe all that combines to

793
00:43:08,320 --> 00:43:11,520
Speaker 1: make to make whatever he's putting out there just not

794
00:43:11,520 --> 00:43:14,719
Speaker 1: not resonate with people, you know, right, I don't know

795
00:43:14,800 --> 00:43:17,279
Speaker 1: the Man of the Woods like I'll just say that

796
00:43:17,440 --> 00:43:21,440
Speaker 1: Man of the Woods was not an album that no

797
00:43:21,920 --> 00:43:25,759
Speaker 1: thought was put into. I'm sure like an entire you know,

798
00:43:26,520 --> 00:43:31,799
Speaker 1: Ivy League Universities, graduating class worth of like marketing minds

799
00:43:31,880 --> 00:43:35,239
Speaker 1: and like songwriters and all that shit like put We're

800
00:43:35,280 --> 00:43:37,560
Speaker 1: working around the clock on that shit, you know, to

801
00:43:37,640 --> 00:43:41,879
Speaker 1: try and make it as successful as humanly possible, and

802
00:43:41,920 --> 00:43:46,120
Speaker 1: it just fucking flatlined, you know, just belly flopped into

803
00:43:46,160 --> 00:43:48,160
Speaker 1: that pond in the middle of the woods that he

804
00:43:48,280 --> 00:43:50,960
Speaker 1: was standing in for some reason on the album cover.

805
00:43:50,800 --> 00:43:53,040
Speaker 2: Because it felt like like his like right word turn.

806
00:43:53,200 --> 00:43:54,960
Speaker 2: But I don't know, Sila Way, what what are your

807
00:43:55,000 --> 00:43:59,200
Speaker 2: thoughts on the the psych the Timberlake cycles that we

808
00:43:59,320 --> 00:44:00,760
Speaker 2: experienced popular culture.

809
00:44:01,480 --> 00:44:03,880
Speaker 3: I think its back to it goes back to taste.

810
00:44:04,280 --> 00:44:07,960
Speaker 3: Does Justin Timberlake and his team have their pulse on

811
00:44:08,320 --> 00:44:11,880
Speaker 3: the the you know, their thumb on the pulse of

812
00:44:11,920 --> 00:44:15,600
Speaker 3: anything that people are interested in or believe in. At

813
00:44:15,600 --> 00:44:19,080
Speaker 3: the moment, I can't remember the last time that a

814
00:44:19,280 --> 00:44:21,440
Speaker 3: Justin Timberlake song hit me, and I'm like, yeah, this

815
00:44:21,560 --> 00:44:23,320
Speaker 3: is a banger in a way that I will forget

816
00:44:23,400 --> 00:44:27,120
Speaker 3: all of his past defenses. You know, I'm still waiting

817
00:44:27,160 --> 00:44:30,520
Speaker 3: for the recovery of Janet Jackson's career. I feel that

818
00:44:30,520 --> 00:44:32,520
Speaker 3: that is owed the world and I feel very much

819
00:44:32,680 --> 00:44:35,799
Speaker 3: like the you know, the scorched earth of his continued

820
00:44:35,920 --> 00:44:40,399
Speaker 3: sisspician role back up the hill is you know, what's

821
00:44:40,480 --> 00:44:43,839
Speaker 3: what's due to him for the fact that he destroyed,

822
00:44:44,040 --> 00:44:48,400
Speaker 3: you know, an actual icon. So I you know, I

823
00:44:48,840 --> 00:44:51,319
Speaker 3: just need to be married to a dutch Man. And

824
00:44:51,360 --> 00:44:54,120
Speaker 3: what justin Timberlake reminds me of each time he rolls

825
00:44:54,160 --> 00:44:57,759
Speaker 3: himself back out is how how hard my ex would

826
00:44:57,760 --> 00:45:00,120
Speaker 3: try every time we went to a family barbie you

827
00:45:00,360 --> 00:45:02,920
Speaker 3: to pick up the steps to the electric slide, and

828
00:45:02,960 --> 00:45:05,719
Speaker 3: when he really felt like he was getting it, you know,

829
00:45:05,920 --> 00:45:08,600
Speaker 3: it would show all over his face like he really

830
00:45:08,640 --> 00:45:10,839
Speaker 3: he felt like he was in this time. And each

831
00:45:10,880 --> 00:45:12,880
Speaker 3: time we were just you know, doing our best to

832
00:45:13,000 --> 00:45:15,840
Speaker 3: just like you know, clap him, clap our hands and

833
00:45:15,840 --> 00:45:19,120
Speaker 3: and parade him out and you know, like and make

834
00:45:19,200 --> 00:45:20,680
Speaker 3: him feel good about himself.

835
00:45:22,560 --> 00:45:23,440
Speaker 2: We love that for you.

836
00:45:23,840 --> 00:45:27,759
Speaker 1: That's just like a child, their first like pedal.

837
00:45:28,200 --> 00:45:33,520
Speaker 5: Baby, steps, you know, you're still like yeah, you know,

838
00:45:34,080 --> 00:45:36,719
Speaker 5: but if we don't live there anymore, like that, you know,

839
00:45:36,960 --> 00:45:38,680
Speaker 5: that was that was something that we were all doing

840
00:45:38,680 --> 00:45:41,120
Speaker 5: in our twenties that just we've all gotten over.

841
00:45:41,200 --> 00:45:44,279
Speaker 2: Like yeah, right, yeah, I mean that is the thing.

842
00:45:44,320 --> 00:45:46,480
Speaker 2: Like I just feel like over the years that just

843
00:45:46,520 --> 00:45:49,879
Speaker 2: like the not like every time people look back, you're like, yeah, man,

844
00:45:49,920 --> 00:45:53,719
Speaker 2: you fucking did. Janet's so fucking dirty like that, you're

845
00:45:53,760 --> 00:45:55,680
Speaker 2: like that, Like I just remember that was like early

846
00:45:55,719 --> 00:45:57,279
Speaker 2: on in our show, and I remember were talking about

847
00:45:57,280 --> 00:45:59,719
Speaker 2: that because I think it was when talking about less

848
00:45:59,760 --> 00:46:02,920
Speaker 2: Moon Vez and like when his all his allegations came

849
00:46:02,920 --> 00:46:05,399
Speaker 2: out how central he was also to being like I'm

850
00:46:05,400 --> 00:46:09,399
Speaker 2: gonna punish the black woman in this instance, and we're

851
00:46:09,440 --> 00:46:11,880
Speaker 2: riding with Timberlake here and then yeah and even like

852
00:46:11,960 --> 00:46:14,800
Speaker 2: as the like all of the attention was came around

853
00:46:14,800 --> 00:46:17,319
Speaker 2: like Brittany and like all of her hardships throughout her

854
00:46:17,320 --> 00:46:21,400
Speaker 2: career and how justin Timberlake wasn't the best partner. Like

855
00:46:21,480 --> 00:46:23,919
Speaker 2: again you're like huh. And then again, like I said,

856
00:46:23,960 --> 00:46:25,560
Speaker 2: in twenty twenty, a lot of people are like this

857
00:46:25,800 --> 00:46:30,239
Speaker 2: fool isn't saying shit about anything, And you are out

858
00:46:30,280 --> 00:46:34,000
Speaker 2: here doing collaborations with black artists, black producers. You doing

859
00:46:34,040 --> 00:46:37,840
Speaker 2: your whole R and B style is very black culture centered.

860
00:46:38,239 --> 00:46:40,600
Speaker 2: Yet you're just you're really showing yourself as one of

861
00:46:40,600 --> 00:46:42,400
Speaker 2: these vulture type people who's like, ye, all right, well

862
00:46:42,440 --> 00:46:46,000
Speaker 2: I got what I wanted. And the second it's about

863
00:46:46,040 --> 00:46:49,080
Speaker 2: like having a stance. I'm just gonna do my Kirkland

864
00:46:49,080 --> 00:46:50,040
Speaker 2: signature moonwalk.

865
00:46:51,120 --> 00:46:53,040
Speaker 1: I was just trying to like get the timeline on

866
00:46:53,239 --> 00:46:58,319
Speaker 1: in Sink's original like Rise. So they came out in

867
00:46:59,600 --> 00:47:04,560
Speaker 1: nineteen ninety seven in Germany and then nineteen ninety eight internationally.

868
00:47:04,800 --> 00:47:07,640
Speaker 1: That first album, it was just like that takes me

869
00:47:07,719 --> 00:47:10,239
Speaker 1: back to a time when like that sort of shit

870
00:47:10,400 --> 00:47:14,319
Speaker 1: only flew in Germany, Like that was that was the

871
00:47:14,440 --> 00:47:16,880
Speaker 1: thing that was like popular that we were like, yeah, no,

872
00:47:16,960 --> 00:47:20,319
Speaker 1: that's like corny shit the German people are into. And

873
00:47:20,360 --> 00:47:25,240
Speaker 1: then they're like our resistances were down, you know, towards

874
00:47:25,280 --> 00:47:29,480
Speaker 1: the end of the Clinton administration, and they're finally let

875
00:47:29,520 --> 00:47:33,440
Speaker 1: it in. And now we've been moving towards German history

876
00:47:33,440 --> 00:47:34,760
Speaker 1: in a lot of different ways.

877
00:47:34,920 --> 00:47:37,560
Speaker 2: Every Yeah, I wish we could go to Germany in

878
00:47:37,640 --> 00:47:41,400
Speaker 2: nineteen ninety seven rather than Germany nineteen thirty seven, I know,

879
00:47:42,000 --> 00:47:44,920
Speaker 2: but yeah, yeah, yeah, we'll see, we'll see how it

880
00:47:44,960 --> 00:47:47,240
Speaker 2: all pans out. But I do like, I like Sheila

881
00:47:47,360 --> 00:47:50,120
Speaker 2: your observation that maybe more than washed or not washed,

882
00:47:50,200 --> 00:47:53,120
Speaker 2: it seems more karmic than anything. Yeah, it's a look.

883
00:47:53,400 --> 00:47:56,719
Speaker 3: I mean, I'm all for a J. C. Schawse comeback.

884
00:47:56,880 --> 00:48:00,160
Speaker 3: I am all for putting things together to put lambs

885
00:48:00,480 --> 00:48:03,799
Speaker 3: on a spaceship, you know, but it's it's the Justin

886
00:48:03,880 --> 00:48:06,640
Speaker 3: Timberlake come back for me. Then I'm like, well, this

887
00:48:06,760 --> 00:48:07,680
Speaker 3: is what you get.

888
00:48:07,680 --> 00:48:12,680
Speaker 2: Like, yeah, yeah, yeah, Justin Well he's doing what he can.

889
00:48:14,520 --> 00:48:18,320
Speaker 1: Yeah, right for real. I just feel like I should

890
00:48:18,360 --> 00:48:20,879
Speaker 1: launch in Women's History Month, don't you guys think?

891
00:48:21,160 --> 00:48:24,200
Speaker 2: Yeah, yeah, remember but I'll do it in sync though,

892
00:48:24,239 --> 00:48:27,640
Speaker 2: so they remember that guy, not the the other dude

893
00:48:27,680 --> 00:48:30,120
Speaker 2: with the murky ship. Just remember me when I wore

894
00:48:30,160 --> 00:48:33,960
Speaker 2: that that matching denim outfit with Brittany. Please, that's me.

895
00:48:34,320 --> 00:48:35,240
Speaker 2: That little boy.

896
00:48:36,000 --> 00:48:39,560
Speaker 1: Romen hair is really like truly what what a what

897
00:48:39,680 --> 00:48:40,080
Speaker 1: a look?

898
00:48:40,719 --> 00:48:41,600
Speaker 2: So evocative.

899
00:48:42,239 --> 00:48:44,719
Speaker 3: I can still hear it, you know, I can still

900
00:48:44,719 --> 00:48:45,960
Speaker 3: hear it crunching underneath.

901
00:48:46,480 --> 00:48:49,920
Speaker 2: Yeah, he puts a hat on. It's like like, b

902
00:48:50,600 --> 00:48:53,120
Speaker 2: just step on a bag of chips. No, man, it's

903
00:48:53,160 --> 00:48:55,640
Speaker 2: my jail. It s my la looks gel that I've

904
00:48:55,640 --> 00:48:56,520
Speaker 2: been putting in here.

905
00:48:58,280 --> 00:48:59,080
Speaker 3: Looks wow.

906
00:49:01,560 --> 00:49:02,400
Speaker 2: Yeah.

907
00:49:02,440 --> 00:49:05,680
Speaker 1: And finally, Bernie Sanders just introduced a bill proposing that

908
00:49:05,760 --> 00:49:08,720
Speaker 1: the country adopt a four day work week without loss

909
00:49:08,719 --> 00:49:15,239
Speaker 1: of pay. That last quote is important. Yeah, and I'm

910
00:49:15,280 --> 00:49:20,000
Speaker 1: assuming something that will immediately be ignored in the context

911
00:49:20,040 --> 00:49:23,480
Speaker 1: of him proposing his bill and presumably in the execution

912
00:49:23,719 --> 00:49:26,439
Speaker 1: of the bill if it ever picks up any sort

913
00:49:26,480 --> 00:49:29,800
Speaker 1: of traction. But the four day work week is something

914
00:49:29,840 --> 00:49:32,080
Speaker 1: we've been talking about for a while on this show.

915
00:49:32,719 --> 00:49:37,000
Speaker 1: It is both in line with, you know, better quality

916
00:49:37,000 --> 00:49:40,160
Speaker 1: of life, and also when it has been tried out,

917
00:49:40,400 --> 00:49:44,799
Speaker 1: companies do better, their employees are healthier. That it's just

918
00:49:44,880 --> 00:49:49,040
Speaker 1: more in line with what a company driven by human

919
00:49:49,120 --> 00:49:51,080
Speaker 1: workers should be doing.

920
00:49:51,560 --> 00:49:54,719
Speaker 2: It turns out, and well, it's like it's one of

921
00:49:54,760 --> 00:49:57,720
Speaker 2: those things too where any ask any person who works

922
00:49:57,719 --> 00:49:59,640
Speaker 2: five days a week, They're like, yeah, would you rather

923
00:49:59,680 --> 00:50:04,719
Speaker 2: work for days a week? I'd imagine conservatively ninety eight

924
00:50:05,719 --> 00:50:09,000
Speaker 2: That is, I would just say conservatively, right, because they're

925
00:50:09,040 --> 00:50:10,800
Speaker 2: two percent people who are probably like no, no, no,

926
00:50:10,880 --> 00:50:12,239
Speaker 2: there's no way I can get it all done because

927
00:50:12,280 --> 00:50:14,440
Speaker 2: like you know, the boss was like, hold on, would

928
00:50:14,440 --> 00:50:16,280
Speaker 2: your life be better if you only worked four days

929
00:50:16,280 --> 00:50:19,680
Speaker 2: a week? The worker money, Yeah, the workers say, oh,

930
00:50:19,680 --> 00:50:23,560
Speaker 2: hell yeah absolutely. But the people who are the ones

931
00:50:23,600 --> 00:50:25,759
Speaker 2: in the c suites that you know, the owners of

932
00:50:25,800 --> 00:50:29,319
Speaker 2: the businesses, are gonna then seed headlines like this in

933
00:50:29,440 --> 00:50:33,760
Speaker 2: Fox Business that say, Bernie Sanders moves to reduce work

934
00:50:33,840 --> 00:50:39,560
Speaker 2: hours for millions of Americans. Get the fuck out of here. Yeah,

935
00:50:39,640 --> 00:50:43,640
Speaker 2: I mean, yeah, sure, while also giving you way more

936
00:50:43,719 --> 00:50:46,120
Speaker 2: time to do things that maybe will help you have

937
00:50:46,239 --> 00:50:50,239
Speaker 2: a like more like life work balance. That's it's just

938
00:50:50,360 --> 00:50:53,440
Speaker 2: very it's it's so misleading. But yeah, I just I'm

939
00:50:53,480 --> 00:50:55,400
Speaker 2: curious how long it would take for something like that

940
00:50:55,440 --> 00:50:59,160
Speaker 2: to really catch like momentum here, because you see it

941
00:50:59,320 --> 00:51:02,560
Speaker 2: being trialed in Europe in Asia and the results, like

942
00:51:02,560 --> 00:51:05,120
Speaker 2: we've said in past episodes, they always it's never like

943
00:51:05,440 --> 00:51:07,600
Speaker 2: and then that company crashed and burned.

944
00:51:08,160 --> 00:51:10,600
Speaker 1: More often than not, the company has come out and say,

945
00:51:10,920 --> 00:51:13,840
Speaker 1: let's keep doing that. That worked out really well for

946
00:51:14,080 --> 00:51:18,759
Speaker 1: us and our employees. And yeah, I mean, Sanders pointed out,

947
00:51:18,800 --> 00:51:21,960
Speaker 1: it is like not a radical idea, it just makes

948
00:51:22,000 --> 00:51:25,000
Speaker 1: more sense. People are more productive, happier, don't have to

949
00:51:25,040 --> 00:51:29,280
Speaker 1: operate within a system literally created by evil, old timey

950
00:51:29,400 --> 00:51:30,680
Speaker 1: car factory owners.

951
00:51:31,000 --> 00:51:31,560
Speaker 2: Yeah.

952
00:51:31,600 --> 00:51:33,879
Speaker 1: Like it's just a system that we've been going with

953
00:51:34,040 --> 00:51:38,000
Speaker 1: forever because that's where we started.

954
00:51:38,080 --> 00:51:40,160
Speaker 3: You know, right, it's a win win, right.

955
00:51:40,239 --> 00:51:42,960
Speaker 2: Yeah. No, And like when you think about, like, well,

956
00:51:43,000 --> 00:51:46,759
Speaker 2: what about efficiency, it's like people today work at a

957
00:51:46,840 --> 00:51:50,239
Speaker 2: tick that has never been seen in human history. We

958
00:51:50,280 --> 00:51:56,000
Speaker 2: are four American workers are four hundred percent more productive

959
00:51:56,520 --> 00:51:59,120
Speaker 2: than they were in the nineteen forties, when a lot

960
00:51:59,200 --> 00:52:01,480
Speaker 2: of people would say, you know, back in my day,

961
00:52:01,560 --> 00:52:03,719
Speaker 2: I used to go here in the factory and then

962
00:52:03,800 --> 00:52:06,600
Speaker 2: we would you know, do a couple of hate crimes

963
00:52:06,640 --> 00:52:09,399
Speaker 2: and go home or something like that. Now we're talking

964
00:52:09,400 --> 00:52:12,680
Speaker 2: about now, we're talking about people doing four hundred percent

965
00:52:12,880 --> 00:52:14,799
Speaker 2: more than that. And it's like, I don't know, man,

966
00:52:15,280 --> 00:52:18,800
Speaker 2: four days sounds risky. Sounds risky, Yeah, hardly.

967
00:52:18,920 --> 00:52:23,319
Speaker 1: Anybody who works these days is drunk the whole day.

968
00:52:23,719 --> 00:52:27,239
Speaker 1: That's a huge improvement over it like as recently as

969
00:52:27,280 --> 00:52:30,400
Speaker 1: like thirty years ago. And if they are drunk the

970
00:52:30,440 --> 00:52:34,000
Speaker 1: whole day, like that is viewed as a problem that

971
00:52:34,040 --> 00:52:36,920
Speaker 1: they should deal with and not just like the standard

972
00:52:37,120 --> 00:52:38,520
Speaker 1: order of doing business.

973
00:52:38,840 --> 00:52:42,080
Speaker 2: You know, Sheila, what's your what's your like work life

974
00:52:42,160 --> 00:52:45,680
Speaker 2: balance as a as a writer, you know, intellect like,

975
00:52:45,719 --> 00:52:47,480
Speaker 2: do you do you have do you give yourself a

976
00:52:47,480 --> 00:52:49,360
Speaker 2: certain amount of time that you'd like to be productive?

977
00:52:49,400 --> 00:52:51,120
Speaker 2: How do you sort of use your time to be productive.

978
00:52:51,680 --> 00:52:58,799
Speaker 3: I've really unsubscribed from the capitalist framework of working. So

979
00:52:58,960 --> 00:53:02,480
Speaker 3: much in my work is catered around my dream like

980
00:53:02,520 --> 00:53:05,120
Speaker 3: my literal dreams, trying to figure, you know, trying to

981
00:53:05,120 --> 00:53:09,560
Speaker 3: decipher how to turn my dreams into stories that are

982
00:53:09,960 --> 00:53:13,400
Speaker 3: prophecies of the future of our nation. You know, the

983
00:53:13,480 --> 00:53:16,520
Speaker 3: last time that I worked at an office, What I

984
00:53:16,560 --> 00:53:19,160
Speaker 3: would really love to see is a poll, really that

985
00:53:19,360 --> 00:53:23,719
Speaker 3: a totally anonymous pole in which we looked at how

986
00:53:23,800 --> 00:53:26,440
Speaker 3: much people are actually working within the frame of their

987
00:53:26,480 --> 00:53:28,560
Speaker 3: work day, if they were supposed to, if they were

988
00:53:28,560 --> 00:53:30,600
Speaker 3: going to sit down and say, because I just remember

989
00:53:30,640 --> 00:53:32,680
Speaker 3: how much of the time I was a cat jiff,

990
00:53:32,880 --> 00:53:35,799
Speaker 3: just trying to look busy, just tapping away at a

991
00:53:35,800 --> 00:53:38,360
Speaker 3: computer for no reason, like I was really working a

992
00:53:38,440 --> 00:53:41,640
Speaker 3: solid three and a half days out of the week,

993
00:53:41,800 --> 00:53:44,280
Speaker 3: if I was totally honest with how I was spending

994
00:53:44,280 --> 00:53:47,799
Speaker 3: that time. So if we actually let people have that

995
00:53:47,920 --> 00:53:51,320
Speaker 3: extra day so that they regained a sense of mental

996
00:53:51,360 --> 00:53:55,120
Speaker 3: health and agency. They too could go about their world's

997
00:53:55,200 --> 00:53:59,680
Speaker 3: you know, looking at flowers and you know this coming

998
00:53:59,760 --> 00:54:02,560
Speaker 3: up with the next great idea. You know, there's just

999
00:54:02,600 --> 00:54:05,359
Speaker 3: so much more creatively that would come out of us

1000
00:54:05,360 --> 00:54:06,160
Speaker 3: if we had that option.

1001
00:54:06,239 --> 00:54:09,640
Speaker 2: Yeah, there was. There was a super producer, Anahosys. She

1002
00:54:09,640 --> 00:54:11,719
Speaker 2: shared a clip with me of James McAvoy on a

1003
00:54:11,719 --> 00:54:13,919
Speaker 2: talk show and he was talking about how there's something

1004
00:54:13,920 --> 00:54:17,840
Speaker 2: about like how fifty percent of like the UK's award

1005
00:54:18,000 --> 00:54:20,799
Speaker 2: recipients went to private schools, like for when it comes

1006
00:54:20,840 --> 00:54:24,160
Speaker 2: to the arts, and he was saying about how the

1007
00:54:24,400 --> 00:54:27,120
Speaker 2: way that the arts are being pulled out of public

1008
00:54:27,160 --> 00:54:31,200
Speaker 2: instruction are is like this very insidious way to keep people.

1009
00:54:31,760 --> 00:54:34,759
Speaker 2: It's like sort of trapped in this mindset that the

1010
00:54:34,800 --> 00:54:37,680
Speaker 2: toil or the churn of capitalism. Now he wasn't using

1011
00:54:37,719 --> 00:54:40,799
Speaker 2: those words exactly, but that that's the only way to

1012
00:54:40,880 --> 00:54:44,280
Speaker 2: live and without exposure to the arts, you're fundamentally cutting

1013
00:54:44,280 --> 00:54:46,440
Speaker 2: people off from the ability to look at things in

1014
00:54:46,480 --> 00:54:49,600
Speaker 2: a broader context, in a way to interpret things that

1015
00:54:49,640 --> 00:54:53,000
Speaker 2: with like, with deeper meaning. And that is just one way.

1016
00:54:53,040 --> 00:54:55,560
Speaker 2: Because we see this, especially in the United States, how

1017
00:54:55,600 --> 00:54:58,719
Speaker 2: the arts are constantly being attacked when it comes to

1018
00:54:58,719 --> 00:55:02,200
Speaker 2: public instruction and like how important it is for people

1019
00:55:02,200 --> 00:55:05,320
Speaker 2: Like I look at my own life, like if my

1020
00:55:05,320 --> 00:55:08,040
Speaker 2: my father is a photographer, so I was just by

1021
00:55:08,480 --> 00:55:12,360
Speaker 2: like just osmosis around more artistic things. And luckily my

1022
00:55:12,360 --> 00:55:15,520
Speaker 2: school had a music program, so I got really into

1023
00:55:15,560 --> 00:55:19,200
Speaker 2: playing music. And I feel like, so I really do

1024
00:55:19,280 --> 00:55:22,160
Speaker 2: credit so much of that to like me thinking just

1025
00:55:22,200 --> 00:55:25,359
Speaker 2: in general that there's so many other things out there

1026
00:55:25,440 --> 00:55:27,719
Speaker 2: aside from like, well, do you want to be an accountant?

1027
00:55:28,000 --> 00:55:29,480
Speaker 2: Do you want to work in a trade? And not

1028
00:55:29,560 --> 00:55:32,080
Speaker 2: that those things are less than but like that, I've

1029
00:55:32,120 --> 00:55:36,680
Speaker 2: merely had the perspective to see many other possibilities. And

1030
00:55:36,800 --> 00:55:38,960
Speaker 2: that was a really interesting point about how that sort

1031
00:55:39,000 --> 00:55:41,320
Speaker 2: of affects the youth and sort of what the outcomes

1032
00:55:41,320 --> 00:55:42,840
Speaker 2: are later in life. Yeah.

1033
00:55:42,880 --> 00:55:46,680
Speaker 3: Absolutely, the possibility of us being allowed to have ideas

1034
00:55:46,880 --> 00:55:50,280
Speaker 3: is destabilizing, and I think that's more frightening than anything

1035
00:55:50,440 --> 00:55:51,560
Speaker 3: to these big companies.

1036
00:55:51,719 --> 00:55:52,319
Speaker 2: Yeah.

1037
00:55:52,400 --> 00:55:56,239
Speaker 1: Yeah, I mean we saw that when people had more

1038
00:55:56,280 --> 00:55:59,520
Speaker 1: time during the pandemic. Everybody looked around and was like,

1039
00:55:59,600 --> 00:56:01,120
Speaker 1: this is fucking bullshit.

1040
00:56:01,600 --> 00:56:03,000
Speaker 2: But I I.

1041
00:56:02,920 --> 00:56:06,640
Speaker 1: Think it's interesting because your point that we're already working

1042
00:56:07,800 --> 00:56:11,879
Speaker 1: three and a half days a week, Like they have

1043
00:56:11,960 --> 00:56:16,640
Speaker 1: that data at this point, right, like your your work laptop,

1044
00:56:16,680 --> 00:56:20,400
Speaker 1: your work computer is loaded with spyware at this point,

1045
00:56:20,440 --> 00:56:24,680
Speaker 1: like Amazon is tracking their like their employees' bathroom breaks.

1046
00:56:25,160 --> 00:56:29,080
Speaker 1: They know what people are averaging out to. So that

1047
00:56:29,239 --> 00:56:33,440
Speaker 1: actually makes this whole movement and the fact that companies

1048
00:56:33,480 --> 00:56:35,399
Speaker 1: are willing to try out the four day work week

1049
00:56:35,880 --> 00:56:38,120
Speaker 1: make a little bit more sense to me now because

1050
00:56:38,120 --> 00:56:40,279
Speaker 1: I'm in the past, I've been like, wait, why are

1051
00:56:40,320 --> 00:56:43,680
Speaker 1: companies willing to like even entertain this, And it's probably

1052
00:56:43,719 --> 00:56:46,239
Speaker 1: because they're like, oh, yeah, well, people don't only work

1053
00:56:46,320 --> 00:56:49,600
Speaker 1: like three and a half days anyway, and so in

1054
00:56:49,840 --> 00:56:53,239
Speaker 1: this way, we actually get four full days out of them,

1055
00:56:53,280 --> 00:56:56,600
Speaker 1: and then they actually think we're being nice to them.

1056
00:56:56,840 --> 00:56:57,600
Speaker 2: The fact that.

1057
00:56:57,520 --> 00:57:03,239
Speaker 1: It's not being adopted more widely is it is a

1058
00:57:03,239 --> 00:57:06,719
Speaker 1: little wild that they're just like, yeah, but still, that's

1059
00:57:06,719 --> 00:57:08,919
Speaker 1: given them too much power, that's given them too much

1060
00:57:08,960 --> 00:57:12,640
Speaker 1: time to dream and come up with ideas for something better.

1061
00:57:12,920 --> 00:57:15,200
Speaker 1: So right, we're going to keep them in the cubicle

1062
00:57:15,400 --> 00:57:19,960
Speaker 1: just uh, we want our employees to spend at least

1063
00:57:20,040 --> 00:57:23,040
Speaker 1: ten hours a week pretending to be busy.

1064
00:57:23,400 --> 00:57:26,479
Speaker 2: Right, yeah, yeah, what's writing your victor?

1065
00:57:26,760 --> 00:57:28,920
Speaker 1: But Victor was saying, oh yeah, yeah, right, super producer

1066
00:57:29,000 --> 00:57:31,560
Speaker 1: Victor was saying that basically every company that did this

1067
00:57:31,640 --> 00:57:35,360
Speaker 1: in a UK study said productivity either maintained or increased.

1068
00:57:35,760 --> 00:57:40,120
Speaker 2: So but sheer inertia data is right there. Yeah yeah,

1069
00:57:40,240 --> 00:57:42,120
Speaker 2: oh and I can I can totally see how it's

1070
00:57:42,160 --> 00:57:45,240
Speaker 2: the kind of momentum that business owners do not want

1071
00:57:45,280 --> 00:57:48,640
Speaker 2: to like contribute to, you know, because then they're like,

1072
00:57:48,640 --> 00:57:51,920
Speaker 2: what's next. They're going to start unionizing in mass then

1073
00:57:51,960 --> 00:57:53,680
Speaker 2: what are we going to do? Then they're really gonna

1074
00:57:53,760 --> 00:57:56,280
Speaker 2: then they're going to ask for us to share in

1075
00:57:56,320 --> 00:57:59,880
Speaker 2: the profits that that we're extracting from their labor. No, no,

1076
00:58:00,200 --> 00:58:03,000
Speaker 2: just but slowly, maybe what if we do, like, rather

1077
00:58:03,120 --> 00:58:05,640
Speaker 2: than forty hours, we start off with like thirty six,

1078
00:58:07,120 --> 00:58:08,760
Speaker 2: you know, and then and then we'll go down like

1079
00:58:08,760 --> 00:58:10,760
Speaker 2: maybe a half day Friday, and then maybe we can

1080
00:58:10,800 --> 00:58:14,680
Speaker 2: get rid of Friday completely. But yeah, it's just look,

1081
00:58:14,920 --> 00:58:17,560
Speaker 2: the proof is there in the pudding. Just it's right there.

1082
00:58:17,600 --> 00:58:20,120
Speaker 2: People are more productive and happier.

1083
00:58:20,160 --> 00:58:23,600
Speaker 1: Don't They usually just say, like forty hours over the

1084
00:58:23,600 --> 00:58:27,840
Speaker 1: course of four days, Like I feel like that is oftentimes.

1085
00:58:27,280 --> 00:58:30,280
Speaker 2: That's another version of it too. But like, you know,

1086
00:58:30,400 --> 00:58:34,160
Speaker 2: to what we're saying here, most people do not need

1087
00:58:34,400 --> 00:58:38,600
Speaker 2: forty hours depending obviously this is this is occupationally dependent,

1088
00:58:39,160 --> 00:58:41,920
Speaker 2: but like, you do not need the forty hours to achieve

1089
00:58:41,960 --> 00:58:45,000
Speaker 2: whatever their company's goals are. Yeah, obviously you can't do

1090
00:58:45,080 --> 00:58:47,120
Speaker 2: that if you're doing something like working as a like

1091
00:58:47,400 --> 00:58:50,560
Speaker 2: the health services or something like that. But yeah, many.

1092
00:58:50,440 --> 00:58:55,080
Speaker 1: Sandway Bill specific specifies forty two, making the national standard

1093
00:58:55,600 --> 00:58:57,280
Speaker 1: from forty to thirty two hours.

1094
00:58:57,400 --> 00:58:58,840
Speaker 2: So no, no.

1095
00:58:58,960 --> 00:59:03,160
Speaker 1: Loopholes already, big corporations, I mean shit, do fucking you know,

1096
00:59:03,280 --> 00:59:05,960
Speaker 1: like do three eleven hour days, you know what I mean?

1097
00:59:06,080 --> 00:59:07,840
Speaker 2: And then work three days a week if you've only

1098
00:59:07,840 --> 00:59:09,840
Speaker 2: got it to thirty two, because I'm only gonna work

1099
00:59:09,880 --> 00:59:12,360
Speaker 2: you know that quarter of those. Anyway, there you go.

1100
00:59:13,000 --> 00:59:16,280
Speaker 1: Well, Sheila, what a pleasure having you on the daily Zeitgeist.

1101
00:59:16,600 --> 00:59:17,720
Speaker 3: Yeah, it's been a joy.

1102
00:59:17,920 --> 00:59:18,840
Speaker 2: Where can people.

1103
00:59:18,600 --> 00:59:21,120
Speaker 1: Find you and follow you and all that good stuff?

1104
00:59:21,400 --> 00:59:25,040
Speaker 3: You can follow me at Shila Lawson on Instagram and

1105
00:59:25,400 --> 00:59:28,080
Speaker 3: you can find me in my latest book, How to

1106
00:59:28,120 --> 00:59:30,600
Speaker 3: Live Free in a Dangerous World, in which I say

1107
00:59:30,960 --> 00:59:32,800
Speaker 3: fuck capitalism and the patriarchy.

1108
00:59:33,280 --> 00:59:36,439
Speaker 1: Wait a second, now, now hold on, just to god

1109
00:59:36,600 --> 00:59:40,880
Speaker 1: damn second. Now I'm just joking I thought you were cool.

1110
00:59:40,040 --> 00:59:46,280
Speaker 3: I wait until the end to stick it to the man. No, yeah,

1111
00:59:46,640 --> 00:59:49,520
Speaker 3: no's do cool the whole time, and so we throw

1112
00:59:49,600 --> 00:59:51,360
Speaker 3: out what I actually do in my life.

1113
00:59:51,840 --> 00:59:52,360
Speaker 2: Amazing.

1114
00:59:52,600 --> 00:59:55,840
Speaker 1: Yeah, please everybody go buy the book. And is there

1115
00:59:55,920 --> 00:59:57,800
Speaker 1: a work of media that you've been enjoying?

1116
00:59:58,560 --> 00:59:58,800
Speaker 2: Fuck?

1117
00:59:58,840 --> 01:00:00,680
Speaker 3: I don't have one. I mean, And that's like the

1118
01:00:00,800 --> 01:00:02,840
Speaker 3: kind of hole that I had to stay in to

1119
01:00:02,920 --> 01:00:06,800
Speaker 3: write a travel book about trying to traverse the world

1120
01:00:06,880 --> 01:00:09,720
Speaker 3: in most decolonial ways possible. I can't stay on the

1121
01:00:09,720 --> 01:00:12,880
Speaker 3: internet like you know, the bots can do that for me.

1122
01:00:13,280 --> 01:00:16,560
Speaker 2: Yeah, it's true. I was as good. People should go

1123
01:00:16,600 --> 01:00:17,480
Speaker 2: read your book then.

1124
01:00:17,840 --> 01:00:19,880
Speaker 3: Yeah, let's let's go back to reading people.

1125
01:00:20,320 --> 01:00:23,000
Speaker 2: Yeah. I got through about the first forty pages and

1126
01:00:23,040 --> 01:00:26,480
Speaker 2: I'm around the party you're in Zimbabwe, uh, And it's

1127
01:00:26,720 --> 01:00:30,640
Speaker 2: very very eye opening as someone who's half black and

1128
01:00:30,920 --> 01:00:34,760
Speaker 2: trying to like have introspection around blackness and what that means.

1129
01:00:34,760 --> 01:00:37,040
Speaker 2: And I found that just this one passage I was

1130
01:00:37,080 --> 01:00:40,320
Speaker 2: reading about you in the car was very like eye opening.

1131
01:00:40,480 --> 01:00:43,200
Speaker 3: But yeah, when I went to Zimbabwe right after Trump

1132
01:00:43,200 --> 01:00:45,520
Speaker 3: got elected, and I was still afraid of getting arrested

1133
01:00:45,520 --> 01:00:48,480
Speaker 3: as a black person in a fully black country, you know, and.

1134
01:00:48,440 --> 01:00:51,120
Speaker 2: They're like, oh that's not oh see.

1135
01:00:50,920 --> 01:00:53,120
Speaker 3: Yeah yeah you're yeah.

1136
01:00:53,320 --> 01:00:58,400
Speaker 2: So you're black from America. This is right different. Yeah yeah, yeah, no,

1137
01:00:58,720 --> 01:01:02,920
Speaker 2: I'm yeah. And your writing style is really it's it's

1138
01:01:02,960 --> 01:01:05,440
Speaker 2: like art, it's like pro So yeah, I really encourage

1139
01:01:05,480 --> 01:01:07,480
Speaker 2: people to to definitely check the book out because it's

1140
01:01:07,800 --> 01:01:09,640
Speaker 2: and I haven't gone through the whole thing, so maybe

1141
01:01:09,640 --> 01:01:11,200
Speaker 2: it might might right have it might take a weird

1142
01:01:11,240 --> 01:01:14,880
Speaker 2: turn about being anty capitalist or only suddenly it's.

1143
01:01:14,720 --> 01:01:21,640
Speaker 5: On the front, you know, colonial memory, colonial dangerous.

1144
01:01:21,800 --> 01:01:26,440
Speaker 3: I'm not you know, I'm not hitting anybody. I'm graph.

1145
01:01:27,800 --> 01:01:30,760
Speaker 1: Being at least one review being like now wait, just

1146
01:01:30,760 --> 01:01:34,920
Speaker 1: to goddamn second tier. What someone said this was like

1147
01:01:34,960 --> 01:01:41,800
Speaker 1: e prey love, keep your politics out of my memoir reading. Yeah, amazing, Well,

1148
01:01:41,920 --> 01:01:42,680
Speaker 1: truly a pleasure.

1149
01:01:42,720 --> 01:01:43,840
Speaker 2: Thank you for joining us.

1150
01:01:43,800 --> 01:01:49,920
Speaker 1: Thank you for having what was Dumbars Bulldogs Bulldogs, Bulldogs.

1151
01:01:49,960 --> 01:01:50,480
Speaker 2: There you go.

1152
01:01:50,600 --> 01:01:52,600
Speaker 3: Yeah, if you really want to do a dumb Bar tribute,

1153
01:01:52,640 --> 01:01:54,800
Speaker 3: you could close out with the atomic Dog, but that's

1154
01:01:55,160 --> 01:02:05,360
Speaker 3: probably gonna cost a hell of a lot of money.

1155
01:02:06,600 --> 01:02:10,120
Speaker 2: Must feel like that.

1156
01:02:11,240 --> 01:02:14,680
Speaker 1: In this episode, will get a takedown notice because your

1157
01:02:14,720 --> 01:02:26,680
Speaker 1: vocals are so accurate, so accurate, Where can people find you?

1158
01:02:26,840 --> 01:02:28,840
Speaker 1: Is there a work of media you've been enjoying?

1159
01:02:29,240 --> 01:02:32,240
Speaker 2: Yeah, find me at Miles of Gray and all the

1160
01:02:32,280 --> 01:02:36,120
Speaker 2: app based platforms. Find Jackie and I Are Basketball podcast

1161
01:02:36,120 --> 01:02:39,600
Speaker 2: Miles and Jackie at Boostis. If you're like nance and

1162
01:02:39,640 --> 01:02:41,640
Speaker 2: trash Reality like me, you can also catch me on

1163
01:02:41,840 --> 01:02:45,680
Speaker 2: four to twenty Day Fiance. Let's see a couple of treats.

1164
01:02:45,680 --> 01:02:50,320
Speaker 2: I like this first one is so wild. It's just

1165
01:02:50,360 --> 01:02:53,320
Speaker 2: a at This is from at kel Swizzle. I know

1166
01:02:53,360 --> 01:02:56,760
Speaker 2: I'm at kel Swizzy. It says saving this for the

1167
01:02:56,760 --> 01:02:58,920
Speaker 2: next time I'm trying to rally the girls to go

1168
01:02:58,960 --> 01:03:01,560
Speaker 2: to the bars. It says like, I don't know if

1169
01:03:01,560 --> 01:03:03,320
Speaker 2: this is for real. I think it is because it's

1170
01:03:03,320 --> 01:03:05,880
Speaker 2: from it like an account that looks for like Christian

1171
01:03:06,040 --> 01:03:10,040
Speaker 2: content like this podcast. This feels I don't again, I

1172
01:03:10,080 --> 01:03:12,680
Speaker 2: don't know if this is satirical, but this is fantastic

1173
01:03:12,760 --> 01:03:15,560
Speaker 2: for anybody who's been around like evangelical people.

1174
01:03:15,880 --> 01:03:16,680
Speaker 3: We were talking about this.

1175
01:03:16,800 --> 01:03:20,040
Speaker 7: If you have already said yes to something, listen to

1176
01:03:20,080 --> 01:03:22,880
Speaker 7: me so carefully. If you've already said yes to something

1177
01:03:23,320 --> 01:03:25,200
Speaker 7: and then leading up to it you do not want

1178
01:03:25,240 --> 01:03:27,080
Speaker 7: to go, You're getting sick. You just tired, you don't

1179
01:03:27,080 --> 01:03:29,680
Speaker 7: want to go all these what if I just skipped?

1180
01:03:29,960 --> 01:03:33,080
Speaker 7: That is because God has something so big for you there,

1181
01:03:33,360 --> 01:03:34,760
Speaker 7: and the devil wants to steal it.

1182
01:03:36,480 --> 01:03:37,480
Speaker 3: There's something in his spirit.

1183
01:03:37,880 --> 01:03:39,560
Speaker 8: Yeah, you're like, oh, yeah, I'm going to come make

1184
01:03:39,560 --> 01:03:39,919
Speaker 8: these plants.

1185
01:03:39,920 --> 01:03:40,560
Speaker 3: It's gonna be great.

1186
01:03:40,600 --> 01:03:42,240
Speaker 8: And then like leading up to it, you know that

1187
01:03:42,280 --> 01:03:43,760
Speaker 8: feeling like last minut where you're like, I want to

1188
01:03:43,760 --> 01:03:45,240
Speaker 8: just stay in my pajamas. I don't want to go

1189
01:03:45,400 --> 01:03:47,840
Speaker 8: sounds like work. I don't know, I'm scared. And then

1190
01:03:47,840 --> 01:03:49,520
Speaker 8: you say, no, Bro, that is an attack from the

1191
01:03:49,600 --> 01:03:52,040
Speaker 8: enemy because he knows that could be fruitful for you.

1192
01:03:52,080 --> 01:03:55,160
Speaker 2: Bro, that is an attack from the enemy Satan. I

1193
01:03:55,240 --> 01:03:57,640
Speaker 2: like that framing of it. I mean, there's probably a

1194
01:03:57,720 --> 01:03:59,880
Speaker 2: more like Buddhist way that would like appeal to me,

1195
01:04:00,000 --> 01:04:02,080
Speaker 2: but I like that's the devil trying to take your shine.

1196
01:04:02,120 --> 01:04:03,440
Speaker 2: And I'm like, yeah, okay, I love it.

1197
01:04:03,760 --> 01:04:04,120
Speaker 3: I love it.

1198
01:04:04,200 --> 01:04:07,040
Speaker 1: Yeah, trying to steal career opportunities from you.

1199
01:04:07,400 --> 01:04:09,240
Speaker 3: When I go out with my friends, I tell them,

1200
01:04:09,280 --> 01:04:11,800
Speaker 3: if we go hard, this moves into a tax right off,

1201
01:04:11,920 --> 01:04:13,640
Speaker 3: you know, because it's just don't show them the next book.

1202
01:04:15,680 --> 01:04:20,600
Speaker 3: Let's make some money. People, let's make bad decisions.

1203
01:04:21,320 --> 01:04:24,280
Speaker 2: And then the the other one I like is at

1204
01:04:24,320 --> 01:04:29,200
Speaker 2: fred Underscore delicious tweetd Hi, I'm Johnny Knoxville, Welcome to Jackass,

1205
01:04:29,400 --> 01:04:32,320
Speaker 2: and then the parenthetical boards a commercial Boeing flight.

1206
01:04:39,960 --> 01:04:43,000
Speaker 1: I need to find a friend who's a memoirrist so

1207
01:04:43,080 --> 01:04:47,240
Speaker 1: I have that motivation. That's amazing, just like yeah, right,

1208
01:04:47,600 --> 01:04:52,040
Speaker 1: just the motivation to be in the memoir. From the

1209
01:04:52,120 --> 01:04:55,480
Speaker 1: memoir if they go hard enough, it's a tax.

1210
01:04:55,600 --> 01:04:56,400
Speaker 3: It's a tax.

1211
01:04:56,680 --> 01:05:00,040
Speaker 2: That's those are fucking bars, right.

1212
01:05:00,040 --> 01:05:00,120
Speaker 5: The.

1213
01:05:01,840 --> 01:05:07,520
Speaker 1: Amazing let's see. Paula tweeted building my own Boeing plane

1214
01:05:07,600 --> 01:05:13,640
Speaker 1: out of the pieces that are falling off, and then

1215
01:05:13,720 --> 01:05:18,000
Speaker 1: Sean O'Connor tweeted something that an experience that I recently had.

1216
01:05:18,520 --> 01:05:21,040
Speaker 1: I just saw my first cyber truck in real life

1217
01:05:21,080 --> 01:05:23,520
Speaker 1: and I pointed and laughed and the driver gave me

1218
01:05:23,600 --> 01:05:26,840
Speaker 1: the finger and I just kept laughing. Solid ten out

1219
01:05:26,840 --> 01:05:29,640
Speaker 1: of ten. Seeing a cyber truck in real life is

1220
01:05:29,800 --> 01:05:36,160
Speaker 1: just an amazing it's disorienting, embarrassing for the person driving it.

1221
01:05:36,440 --> 01:05:40,840
Speaker 1: I saw one with like a weird camo paint job and.

1222
01:05:41,040 --> 01:05:43,440
Speaker 2: It's a rap, Dude, that's a wrap. It's not paint job. Dude,

1223
01:05:43,440 --> 01:05:45,440
Speaker 2: it's a wrap to vinyl wrap. I can do anything

1224
01:05:45,440 --> 01:05:47,000
Speaker 2: I want, Dude. I can change it on a whim.

1225
01:05:47,160 --> 01:05:49,440
Speaker 2: I can make it look like marble if I wanted to. Oh,

1226
01:05:49,480 --> 01:05:52,000
Speaker 2: that's that's you've seen cars like that. I've seen cars

1227
01:05:52,000 --> 01:05:54,520
Speaker 2: that have I saw Tesla that was had a vinyl

1228
01:05:54,520 --> 01:05:58,000
Speaker 2: wrap that made it look like marble. Like no, I yeah,

1229
01:05:58,080 --> 01:06:00,480
Speaker 2: it's cool. Body.

1230
01:06:01,480 --> 01:06:03,400
Speaker 1: You can find me on Twitter at Jack Underscore O Brian.

1231
01:06:03,400 --> 01:06:05,600
Speaker 1: You can find us on Twitter at daily Zeikeeist. Where

1232
01:06:05,600 --> 01:06:07,880
Speaker 1: at the Daily Zeitgeist on Instagram, we have a Facebook

1233
01:06:07,920 --> 01:06:10,480
Speaker 1: fan page on a website, Daily zeitgeist dot com where

1234
01:06:10,520 --> 01:06:13,720
Speaker 1: we post our episodes and our footnotes where we link

1235
01:06:13,720 --> 01:06:15,960
Speaker 1: off to the information that we talked about in today's episode,

1236
01:06:15,960 --> 01:06:18,840
Speaker 1: as well as a song that we think you might enjoy. Miles,

1237
01:06:18,840 --> 01:06:20,280
Speaker 1: what song do you think people might enjoy it?

1238
01:06:21,240 --> 01:06:25,240
Speaker 2: I found this Okay, this artist isn't a nineteen years

1239
01:06:25,280 --> 01:06:28,400
Speaker 2: old from Chicago called lay Soul l E Y s

1240
01:06:28,480 --> 01:06:31,640
Speaker 2: o U L. And the second I started playing this track,

1241
01:06:31,680 --> 01:06:35,360
Speaker 2: I was like, this has like Erica bad vibes like it.

1242
01:06:35,600 --> 01:06:38,160
Speaker 2: I mean to be honest, it sounds instrumentally like a

1243
01:06:38,480 --> 01:06:41,520
Speaker 2: No I'm not gonna say, rip off, but a spiritual

1244
01:06:42,080 --> 01:06:45,959
Speaker 2: twin to the track, didn't you know? But the track

1245
01:06:46,040 --> 01:06:48,440
Speaker 2: is really cool and like I just sort of like

1246
01:06:48,520 --> 01:06:51,840
Speaker 2: where this artist is at, Like their inspirations are like D'Angelo,

1247
01:06:52,040 --> 01:06:54,840
Speaker 2: Jill Scott, Ericabadu and like you're nineteen, I'm like, okay,

1248
01:06:55,040 --> 01:06:57,840
Speaker 2: talk about taste. And this track is called Believe it

1249
01:06:57,880 --> 01:07:03,040
Speaker 2: or Not Intergalactic Janet. It's called Intergalactic Janet by Lay Souls.

1250
01:07:03,080 --> 01:07:04,200
Speaker 2: We'll check this one.

1251
01:07:04,000 --> 01:07:07,400
Speaker 1: Out, perfect song to go out on. Yeah, we will

1252
01:07:07,400 --> 01:07:10,280
Speaker 1: link off to that in the footnotes. The Daily zeit

1253
01:07:10,320 --> 01:07:12,480
Speaker 1: Geist is a production of iHeartRadio. For more podcasts from

1254
01:07:12,520 --> 01:07:14,360
Speaker 1: my Heart Radio, visit the iHeart Radio w ap Apple

1255
01:07:14,400 --> 01:07:17,600
Speaker 1: podcast or wherever fine podcasts or give it away for free.

1256
01:07:17,800 --> 01:07:20,800
Speaker 1: That is gonna do it for us this morning. We

1257
01:07:21,040 --> 01:07:24,480
Speaker 1: are back over the weekend to let you listen to

1258
01:07:24,840 --> 01:07:27,280
Speaker 1: some of the highlights of the week and the Weekly Zeitgeist,

1259
01:07:27,320 --> 01:07:29,400
Speaker 1: and then back on Monday morning to tell you what

1260
01:07:29,480 --> 01:07:32,160
Speaker 1: trended over the weekend and we will talk to y'all

1261
01:07:32,280 --> 01:07:36,160
Speaker 1: then Bye bye,