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Speaker 1: Hello the Internet, and welcome to season two ninety nine, Episode.

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Speaker 2: Two of durn Daily's I Guys Day production of by

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Speaker 2: Heart Radio. This is a podcast where we take a deep.

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Speaker 1: Dive into America share consciousness. But it is Wednesday, August ninth,

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Speaker 1: twenty twenty three.

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Speaker 2: Baby, I'm doing that demoniacal lap because my thing was

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Speaker 2: not loading. It's National Rights Pudding Day, National Book Lover's Day,

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Speaker 2: International Day of the Oh wait, wait, let me get

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Speaker 2: this right, because we've got a shot out Indigenous People,

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Speaker 2: International Day of the World's Indigenous People, National Passion Fruit Day.

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Speaker 2: Oh shoutout passion Fruit, International Coworking Day, World Calligraphy Day,

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Speaker 2: World Deep or National Deep Day. Whatever. That is not

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Speaker 2: shouting at Mike Pett. But anyway, Rice putting though, you

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Speaker 2: know this is public deep like vep yep yepe feel

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Speaker 2: help and at HBO shows you so, you know, pry

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Speaker 2: for the.

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Speaker 1: Office speaking of the National Book Day of a private

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Speaker 1: equity company you just bought Simon and Schuster.

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Speaker 2: Oh out, So that's what we'll see what that does

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Speaker 2: for books.

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Speaker 1: It would be good. There was just like be missing

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Speaker 1: pages and yeah, they're like no one reads the fucking

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Speaker 1: back like I used like I don't finish books, so

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Speaker 1: print three quarters of it. Yeah, we actually looked at

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Speaker 1: like some stats and like the number of pages read

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Speaker 1: like really declines. There's a long tail, of course, but yeah,

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Speaker 1: you could really save money by just sixty percent.

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Speaker 2: Of the books.

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Speaker 1: Don't smeterial last hundred pages. Yeah. Anyways, my name is

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Speaker 1: Jack O'Brien aka play That Plumper music, White Boy, Play

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Speaker 1: that Pumper music, Right Talk, Cole Gaest Study and Dean

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Speaker 1: I Wet Pants, Peace Stands Till You Die. That is

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Speaker 1: courtesy of LACERNI get getting it all in there on

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Speaker 1: the Discord. I am thrilled to be joined as always

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Speaker 1: by my co host mister Miles Grand Miles.

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Speaker 2: Brand alp Him of Montgomery Doc bro It's Miles Gray

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Speaker 2: aka Michael B. Phelps aka Scuba Gooding Junior aka Aquamane

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Speaker 2: aka Snoop Doggie paddle Dog aka Samuel L. Jack swim

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Speaker 2: Uh to TV on Discord for aggregating all of those

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Speaker 2: fucking nicknames of the man who lopped in the water

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Speaker 2: in that video. Oh man, what a time, What a time.

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Speaker 1: I think I picked the worst fight video to be

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Speaker 1: like dah fight videos.

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Speaker 2: Enough enough, I know when he.

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Speaker 1: Said that because you're old watched it. I still haven't

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Speaker 1: watched it. Now now I need to watch that ship.

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Speaker 2: Yeah, because when you know, it's a black DOC worker

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Speaker 2: who told these white people to move their boat so

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Speaker 2: the city boat could come into Doc and they said,

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Speaker 2: funk out of here, and he moved the boat for them,

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Speaker 2: and they decided to put hands on him. You're like, oh, no, no, no, no,

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Speaker 2: like you've you've sent the flares up and the smoke

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Speaker 2: is incoming. Yeah, and it arrived by air and by sea.

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Speaker 1: All right, I watch right after we record miles, we

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Speaker 1: are thrilled to be joined in our third seat by

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Speaker 1: one of our favorite guests, one of your favorite guest writer, actor,

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Speaker 1: one of the funniest stand up comedians doing it, and

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Speaker 1: you can catch her tonight at Women Crush Wednesdays at

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Speaker 1: the Fourth Theater in Los Angeles. She has a special

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Speaker 1: on Max that is just so good. It's called Bitch

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Speaker 1: Grob and.

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Speaker 2: She is called Marcella or.

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Speaker 3: Here I Am to save the day.

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Speaker 2: Yes, it's good Marcella.

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Speaker 3: I really thought you guys were gonna like talk about

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Speaker 3: the video. I was like, oh my god, I can't

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Speaker 3: wait to hear what Jack has to say about it. Yeah,

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Speaker 3: I want to hear him throw his people under the bus.

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Speaker 2: Yeah.

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Speaker 3: Yeah.

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Speaker 2: At first I was really I thought, I don't like it.

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Speaker 2: I don't like it. I just it's really hard to watch.

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Speaker 2: It's really hard to watch. Hard to watch that lady

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Speaker 2: a mom. Probably.

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Speaker 3: I love that they're also sunburned as they're getting it's

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Speaker 3: really beautiful. I also saw people, Yeah, I also saw

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Speaker 3: people pointing out like and this is why white people

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Speaker 3: are demanding that they have guns at all times, because

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Speaker 3: they know it would fucking lose.

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Speaker 2: One. Never see like have you seen that people were

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Speaker 2: already like the the reenactments people are doing at their pool.

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Speaker 3: Oh my god, what a blessing to the internet. Like

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Speaker 3: I'm so glad X hasn't completely destroyed everything that was

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Speaker 3: beautiful about Twitter, because it's like I've been like frustrated

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Speaker 3: about keeping Twitter on my phone and I'm like, but

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Speaker 3: I have all these shows promotes. I'm like, once this

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Speaker 3: show's then I'm gonna fucking, you know, take Twitter off

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Speaker 3: my phone. But this feels like the I was like,

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Speaker 3: you know, what if I go out this week, this

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Speaker 3: is a beautiful.

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Speaker 2: Way you go out versus the slide in Boston. Oh

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Speaker 2: my god, I thought I was not very I was

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Speaker 2: worried about his safety.

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Speaker 1: And I get it. Enough say enough slide videos, enough

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Speaker 1: of these dang fight videos. I mean, we're getting whooped

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Speaker 1: out here.

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Speaker 2: Did you there slides or people who are sticking enough

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Speaker 2: for their people? It's wild, man, oh man.

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Speaker 3: And the energy has shifted in our society. I saw

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Speaker 3: a black hotel employee say some kind of wild to

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Speaker 3: an older white person because they were like all frustrated,

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Speaker 3: complaining about how the juice, the breakfast juices weren't marked

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Speaker 3: like they weren't they didn't say what they were. And

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Speaker 3: he was like, and the black hotel play is like, sir, yes,

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Speaker 3: we are a brand new hotel, but someone stole our signs.

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Speaker 3: I'm sorry if you don't know the difference between orange juice,

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Speaker 3: Grandberry juice and Wow takes change the damn world. Tell them,

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Speaker 3: tell them it's beautiful. It's like, yeah, they're they black people, don't.

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Speaker 3: That's it. It's done. The energy has shifted. The air

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Speaker 3: is different and interactions are so different now. And I

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Speaker 3: love that.

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Speaker 2: While it's yeah handed. Nicole Jones on her Twitter, she

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Speaker 2: was commenting on the video and she's like make no

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Speaker 2: mistake about Montgomery, Alabama and its place in the slave

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Speaker 2: trade and American slavery and how you have a majority

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Speaker 2: black state that's only getting their first black mayor like

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Speaker 2: like uh recently, you know, and saying like there's a

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Speaker 2: lot more energy swirling around that video than merely it's

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Speaker 2: just being like a random doc, you know.

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Speaker 3: And and yeah, exactly that doc is where the slaves

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Speaker 3: came in. Like I mean, come on, like you got

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Speaker 3: white people attacking one solo black gentleman. Also he's not

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Speaker 3: like young and like buff and like physically looking like

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Speaker 3: he's gonna fucking fuck them up in that moment. Like

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Speaker 3: it's real to me. It really comes out of nowhere

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Speaker 3: that they attack him, you know, like you know, you

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Speaker 3: look like he's just like, God, do my fucking job.

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Speaker 3: I don't want to fuck But also you guys need to.

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Speaker 3: I didn't need to do my fucking job. That's like

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Speaker 3: his whole energy just I don't even do my fucking job.

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Speaker 3: That's his energy, just wants to do his job. He's irritated.

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Speaker 3: It's like these people again for real, that's his energy.

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Speaker 3: So it's wild. Anyway, it's Jack.

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Speaker 1: You need to watch it. All right, I'll watch it

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Speaker 1: on the commercial break.

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Speaker 2: How long is it? Jack? You got it? Man, watch it?

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Speaker 2: Watch it after we Record's gonna be funny.

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Speaker 3: There's also so many funny replies that you actually you

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Speaker 3: don't just watch it. Well, let me think about that.

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Speaker 3: Before you can think about it, you got to watch

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Speaker 3: all the replies and see how fucking it's beautiful. It's

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Speaker 3: too beautiful.

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Speaker 2: Yeah, alright. And also, i'mt say, Montgomery majority, how can.

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Speaker 3: You call yourself the daily zeitguys, and you don't watch

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Speaker 3: the most popular fight video.

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Speaker 2: I think Jack assume he had seen. He's like, it's

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Speaker 2: probably just a dumb racist attack video, probably from the

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Speaker 2: screen grab you saw right right. But see, that's where

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Speaker 2: you need to call more black people realize the black

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Speaker 2: blogs or they're like.

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Speaker 1: Y'all an act and.

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Speaker 3: It's beautiful.

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Speaker 2: There's so many different angles it's and for a lot

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Speaker 2: of people like it's violence. I'm like, you have to

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Speaker 2: understand that there is a history of black people being

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Speaker 2: attacked without any kind of restraint and no consequence. Following

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Speaker 2: people of college, especially black people, see videos like this.

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Speaker 2: It is exciting. Yeah, yeah, it is healing.

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Speaker 3: And then did you see that Thompson Gur clip where

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Speaker 3: he was talking about this is an old clip of

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Speaker 3: his from one of his Netflix specials, and he breaks

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Speaker 3: down how white guys have no loyalty to each other,

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Speaker 3: but like how black people and other races do, and

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Speaker 3: he basically describes a scene that he saw at a

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Speaker 3: park where one white guy uses the word N word

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Speaker 3: and then you know, he proceeds to get attacked by

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Speaker 3: two black guys who don't even know each other. And

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Speaker 3: he's like basically like, oh, you're gonna get murdered. I'm

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Speaker 3: not helping you. And like this bit is great, it's

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Speaker 3: really funny, and it's an old bit and he like

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Speaker 3: obviously is recirculating it right now to like be like

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Speaker 3: white people have no loyalty to each other. And he's

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Speaker 3: like it's beautiful that other races do but we don't.

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Speaker 2: Yeah, but also like you don't need to say it

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Speaker 2: in that context. He's like, come on, whites, like we

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Speaker 2: got to get together now, like got to have I know,

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Speaker 2: I know, of course, because isn't he started off talking

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Speaker 2: about on like unless you got a tiki torch that

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Speaker 2: y'all stick together.

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Speaker 3: I think that's how you know that those are the

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Speaker 3: ones that are sitting together. But for the majority of

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Speaker 3: white guys, they're.

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Speaker 2: Not wearing their khaki with polo shirt and mask outfit

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Speaker 2: screaming you know so.

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Speaker 3: And so in it's a funny bit. It's a funny

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Speaker 3: bit back when he was still like actually writing funny bits.

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Speaker 2: Is he okay? I always worry about him, ks.

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Speaker 3: I mean, you know, I think one of them is

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Speaker 3: going to have a heart attack soon enough.

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Speaker 2: Chryser looks like he is not doing well from the

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Speaker 2: random clips I've seen the last three months.

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Speaker 3: I'm like, sir, yeah, he looks like he's going to

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Speaker 3: have a heart attack soon for sure.

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Speaker 1: Yeah, kind of anyway, Sorry, a bit of a bummer,

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Speaker 1: all right, Marcella. And we're gonna get to know you

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Speaker 1: a little bit better in a moment, because we're gonna

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

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Speaker 1: about from the news. We're gonna talk about the push

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Speaker 1: to get everybody horny for the economy under Biden, talk

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Speaker 1: about the economy under Biden as it relates to AIH.

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Speaker 1: And The Washington Post published this article where they were like,

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Speaker 1: this whole craze is based on a single lie, like

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Speaker 1: a single just misunderstanding of some stats that happened. And

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Speaker 1: then also like Simon Rich that humorist is like really

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Speaker 1: worried about AI and like published this book of poetry,

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Speaker 1: so we'll talk about that. We'll talk about a new

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Speaker 1: pill that is bad news for cancer buck, yeah, and

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Speaker 1: why we need to stop hyping shark attacks, all of

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Speaker 1: that plenty more. But first, Marcela, we do like to

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Speaker 1: ask our guests, what is something from your search history?

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Speaker 3: Okay, so my search history that I from ted A

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Speaker 3: is I googled inventor of the wheelchair and the name

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Speaker 3: is Stephan or probably Stephen Farflir, and I googled him

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Speaker 3: because I wanted to write an inappropriate joke about how

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Speaker 3: I believe that the inventor of the wheelchair just really

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Speaker 3: wanted some pussy.

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Speaker 1: And then.

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Speaker 3: Like that's how the wheelchair was invented, and I tweeted

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Speaker 3: it out, and then I was like, oh, let me actually,

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Speaker 3: before I tweeted out, I should say I looked up

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Speaker 3: who invented the wheelchair because I was like, man, I

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Speaker 3: already know somebody's gonna be met everybody. The thing about

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Speaker 3: comedy and writing jokes is that you can see now

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Speaker 3: how people are going to be offended, and I was like, oh,

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Speaker 3: I got to be prepared for someone being like, how

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Speaker 3: do you know then invented? And it's like, oh, I don't.

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Speaker 3: I don't think that the person who's credited for inventing

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Speaker 3: the wheelchair is the person who invented the wheelchair, you know.

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Speaker 3: I'm sure there was like some fucking ancient indigenous motherfucker

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Speaker 3: who invented that shit that'll never get the credit for it.

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Speaker 3: That's the truth of the matter. But I like, you

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Speaker 3: always have to be prepared, and I hate that. So

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Speaker 3: that's a really good way to know me. I fucking

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Speaker 3: hate that our crowds have gotten so like PC that

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Speaker 3: everything has to be worded so perfectly. And it's like,

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Speaker 3: that's not how comedy works, Guys, Like it's just me

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Speaker 3: making a fucking joke about how thirsty men are, and

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Speaker 3: people were.

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Speaker 2: Like, that's not historically good guy, right, It's like, can

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Speaker 2: you focus on the actual problematic comedy. It'll come at

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Speaker 2: me for like presuming the gender or identity of the

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Speaker 2: person who made the wheelchair, because I'm trying to make

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Speaker 2: you laugh by saying wheelchair was invented by a horny guy.

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Speaker 2: That's the distillation, and y'all not fucking with that exactly.

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Speaker 3: So that's a little about me in my comedy.

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Speaker 2: From the setup. Set up made me laugh, So I'm

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Speaker 2: fucking with it.

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Speaker 1: It is your presents that the inventor needed a wheelchair

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Speaker 1: to get to the pussy or the the inventor was

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Speaker 1: just trying to.

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Speaker 3: Okay, yeah, yeah, like he was at home. He's like, man,

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Speaker 3: that Susie told me, I could get it if I

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Speaker 3: could just get to her, But my legs don't work.

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Speaker 2: And I can't have my dad carry me again exactly.

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Speaker 3: All that rubble that he has to fucking drag me through,

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Speaker 3: Like yo, he he that's desperation. That's innovation via desperation,

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Speaker 3: which we all know is how the best ship is

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Speaker 3: invented is through Oh yeah, desperation.

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Speaker 2: Yeah, those are like the two pillars of pure creation.

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Speaker 3: Poppenheimer, anything you pussy Poppenheimer, I need to.

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Speaker 1: Write that become death, destroyer of worlds, he said as

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Speaker 1: he had sex for the first time.

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Speaker 3: Jack, did you get enough sleep last night? Why you

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Speaker 3: seem really like you don't want to be here with

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Speaker 3: me today today?

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Speaker 2: Am I wagging? Uh?

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Speaker 3: I think you're lacking? Is the real word.

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Speaker 2: She wants you a little bit of a little bit brighter, Jack,

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Speaker 2: She's taking it.

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Speaker 3: I need you, Jack, I need you. I can't be

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Speaker 3: mean to you when you seem a little down in

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Speaker 3: the dumps.

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Speaker 2: I get a good, nice seat. Yeah, Oh, did.

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Speaker 3: You have a nice breakfast? What did you have for breakfast?

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Speaker 2: Jack?

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Speaker 1: Three eggs and an English muffin?

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Speaker 3: That's pretty good.

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Speaker 2: That's good.

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Speaker 3: Damn.

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Speaker 2: I like we both are like, oh.

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Speaker 3: Ship three two, you gonna workout? Ship. I think I'm

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Speaker 3: just trying to loosen you up. Jack.

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Speaker 1: Okay, Okay, I'm cor because I was in the middle

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Speaker 1: of a sentence and.

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Speaker 3: I don't give a I can ask how you're doing

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Speaker 3: anytime I want.

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Speaker 2: Well, because Marcella, you were lagged. You were lagging on

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Speaker 2: the car, so like when so when Jack started talking,

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Speaker 2: it seemed like you had nothing to say. And then

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Speaker 2: you say, I'm like, are you okay? Jack?

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Speaker 4: Like some so I love ship, Marcella, what is something

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Speaker 4: you think.

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Speaker 2: He's overrated?

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Speaker 3: Okay? Wait, my overrated underrated are actually like like they

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Speaker 3: work together, they're they're a fews. They exist because of

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Speaker 3: the other. So you know, I'm on a double with

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Speaker 3: the WGA and sag. That's where my head is at.

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Speaker 3: But I knew that when the strike happened that all

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Speaker 3: of my comedian friends who've gotten a lot of success

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Speaker 3: in acting and writing, we're gonna do stand up again.

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Speaker 3: And I fucking love it. Oh, I'm so glad. Like

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Speaker 3: there's a couple I wish would just fucking give up,

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Speaker 3: because they should have always given up. But there's some

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Speaker 3: people that I'm like so thankful that they're getting back

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Speaker 3: into the stand up shit, and it's cool, but it's

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Speaker 3: like underrated, overrated, where I'm like, it is overrated to

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Speaker 3: be a successful actor, Like it's underrated to be like

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Speaker 3: a comedian who like has shit to say every night

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Speaker 3: and wants to be on stage is like spreading their gospel.

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Speaker 3: And you know, so I'm so that's my underrated overrated

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Speaker 3: where I'm like, I wish more people were I wish

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Speaker 3: I should say this. I wish comedy, stand up comedy

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Speaker 3: was rewarded more and so that people didn't like just

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Speaker 3: give it up just because they're like, well, fucking the

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Speaker 3: money's in acting, the money's in writing, which it is,

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Speaker 3: but I wish stand up is a little more respected,

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Speaker 3: so that comedians who are are so fucking good. Didn't

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Speaker 3: have to you know, give up doing it to fucking

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Speaker 3: have you know, pay the rint.

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Speaker 2: Yeah, cause it's like I think that's for I see

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Speaker 2: the difference, right, because like when you're a stand up

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Speaker 2: you're up there telling your jokes from your perspective, your story.

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Speaker 2: But then they're like, hey, man, you want to use

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Speaker 2: that talent and service of like some other shit and

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Speaker 2: we'll people get you paid. Then like, yeah, you got

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Speaker 2: to put your own creativity. I mean you offer that

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Speaker 2: in a writer's room and shit like that. But sure

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Speaker 2: it's not going to be the same, Like it's not

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Speaker 2: too many head writers and be like, yeah, do your

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Speaker 2: thing and we're just going to incorporate that in the show.

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Speaker 2: They're like, dial that ship back and give me a

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Speaker 2: proper bet storyline exactly exactly.

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Speaker 3: And that's what's interesting too, is that now we've gotten

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Speaker 3: to the point where acting and writing is not as rewarded,

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Speaker 3: which is why everybody's like, wait a minute, bitch, I

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Speaker 3: could be doing stand up and make the same amount

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Speaker 3: of money as like being a fucking actor in streaming.

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Speaker 3: That's wild, you.

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Speaker 2: Know, oh it does it? Do you kind of like

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Speaker 2: not mourn? But when you see somebody like, oh, okay,

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Speaker 2: they got that gig. You're kind of like, I'm not

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Speaker 2: com going to see you less it and there there

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Speaker 2: you go.

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Speaker 3: Yep, yep. That has been my that's been That's been

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Speaker 3: more real in the last five years too, because so

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Speaker 3: many of my friends have really like focused on acting

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Speaker 3: or writing or whatever. And I'm like, yeah, And I

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Speaker 3: remember Laurie Kilmartin. She was my mentor for many, many

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Speaker 3: years before I took my first writing job, and she

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Speaker 3: one of her things was like, try to avoid getting

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Speaker 3: into a writer's room. She's like, because that money is

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Speaker 3: very addictive. That money is so addictive. And I was like, oh,

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Speaker 3: because she was like, you're really good at stand up

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Speaker 3: and you love stand up. She's like, struggle for as

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Speaker 3: long as you can. That's what basically the advice she

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Speaker 3: gave me, like struggle because she also knew that once

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Speaker 3: you if you have a kid, or like fucking you

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Speaker 3: get married or some shit, your whole shit changes and

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Speaker 3: your responsibilities changed. But you can like live gramy or

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Speaker 3: on a couch or couch surf for hotel surf or

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Speaker 3: whatever when it's just solo dolo type shit, right, And

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Speaker 3: she was right, because I remember being like when she

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Speaker 3: told me that, I was like literally watching my friends

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Speaker 3: all around me just pursue writing and acting more because

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Speaker 3: the money was better. But now it's not better, so

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Speaker 3: they're kind. I'm back to stand up, which.

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Speaker 2: You love your homies that are coming back to the stage.

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Speaker 2: Who are you most excited for?

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Speaker 3: Nico Santos Okay, he was the start in Superstore. He

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Speaker 3: did Crazy Ric Asians and he he's so funny and

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Speaker 3: when he's like fucking zeroed in, Oh my god, the

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Speaker 3: motherfucker can talk something, it does voices and can sing like.

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Speaker 3: He's so funny really, and a lot of people don't

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Speaker 3: know him as a stand up but he's great.

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Speaker 2: People should people should.

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Speaker 1: Yeah, I think I just know him from Crazy Rich Asians.

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Speaker 3: Yeah yeah, a lot of people only know him as

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Speaker 3: an actor.

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Speaker 4: Yeah.

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Speaker 1: Yeah, happiness for beginners.

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Speaker 3: But Nico will be at the Irvine Improv headlining on

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Speaker 3: August thirty first, and he has some very great comedians

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Speaker 3: opening for him.

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Speaker 2: Okay, okay, okay, I like that you've been worn.

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Speaker 1: Yeah. Also, I guess we are we allowed to talk

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Speaker 1: about things that are on Netflix, maybe not justin maybe because.

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Speaker 2: Well yeah, I mean I didn't see what it was

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Speaker 2: I did. I fucked up.

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Speaker 1: I came and was like, it's called happiness for beginners.

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Speaker 2: I need that. You can say it okay, because yeah

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Speaker 2: you can say yeah, Jack, you are a lifelong scab

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Speaker 2: of you said on this show.

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Speaker 3: Yeah yeah, come on for sure?

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Speaker 2: Oh yeah yeah, Jack and I are about to We're

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Speaker 2: about to be the new stars of Abbot Elementary. We're down.

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Speaker 3: Have you not heard ship?

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Speaker 2: They were looking for people. I mean it's going to

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Speaker 2: be really medium, it's going to be fucking terrible, but

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Speaker 2: it's a y.

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Speaker 3: I can't wait for Abbit Elementary to get canceled.

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Speaker 5: You know.

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Speaker 2: It's wild though. About that point too, about like those

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Speaker 2: writers room gigs, the same thing like with like late

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Speaker 2: night writers rooms, those they have. That's like such a

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Speaker 2: golden handcuff situation for a creative because the money is

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Speaker 2: non stop, year round, and you get these long hiatuses

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Speaker 2: and then you just got to come into your little

408
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Speaker 2: jokes and they're like, man, I'm fucking caked up. Like,

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Speaker 2: but I also have lost the will to do comedy

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Speaker 2: because you know.

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Speaker 3: Another one. Shout out to Laura Cimartin again because she

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Speaker 3: was really she when but you know, she was a

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Speaker 3: writer for Conan for many, many years, and she did

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Speaker 3: this is brilliant thing where like all the jokes that

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Speaker 3: were rejected from the monologue, she would just tweet them

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Speaker 3: out one by one. It was fucking brilliant. I was like, Yo,

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00:20:07,720 --> 00:20:11,480
Speaker 3: that's a smart, productive way to like use Twitter and

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Speaker 3: also know what works. And it's I've certainly gotten to

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Speaker 3: the point where like you can kind of test material

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Speaker 3: on Twitter and it's like if this has traction, you're like, oh,

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Speaker 3: I can do this on stage like easy. It's like

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Speaker 3: it's so easy that you know you're you're basically saving

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Speaker 3: your own time. It's brilliant.

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Speaker 2: Work harder, it work smarter, not harder.

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Speaker 1: There you go, all right, let's take a quick break.

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Speaker 1: We'll come back. We'll talk about the economy, AI and

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Speaker 1: other shit that I don't can't even begin to pretend

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Speaker 1: I understand.

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Speaker 2: We'll be right there.

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Speaker 1: And we're back, and there seems to be I mean,

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Speaker 1: I guess it's an acknowledged, concerted effort from the Biden

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Speaker 1: campaign to.

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Speaker 2: Be like, hey, the economy is pretty fucking good. Right, Hey,

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Speaker 2: you hear about this economy to economy, Well, there's also

435
00:21:06,240 --> 00:21:09,040
Speaker 2: killing it over there. Yeah, I'd say legacy media also

436
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Speaker 2: got the note, because in the last fucking two weeks,

437
00:21:11,960 --> 00:21:14,600
Speaker 2: I've seen at least fifteen articles with a headline to

438
00:21:14,640 --> 00:21:17,760
Speaker 2: the effect of the economy is cooking thanks to Biden.

439
00:21:18,000 --> 00:21:22,320
Speaker 2: Did anyone notice or like, Joe Biden is not getting

440
00:21:22,359 --> 00:21:26,240
Speaker 2: the credit he deserves for our fantastic economy. Another one

441
00:21:26,280 --> 00:21:29,720
Speaker 2: is like biden Omics Ever heard of it? You fucking dip.

442
00:21:29,560 --> 00:21:32,960
Speaker 1: Shit, Like saw that headline?

443
00:21:33,080 --> 00:21:33,280
Speaker 3: Yeah?

444
00:21:35,600 --> 00:21:37,480
Speaker 2: Yeah, And like this is again like you're saying it's

445
00:21:37,520 --> 00:21:39,760
Speaker 2: all part of a push to get biden Omics, like

446
00:21:39,800 --> 00:21:42,000
Speaker 2: sort of in the minds of voters, like his sort

447
00:21:42,000 --> 00:21:44,600
Speaker 2: of like economic principles that he's been like rolling out

448
00:21:44,600 --> 00:21:49,160
Speaker 2: which aren't necessarily revolutionary, but slightly different than other Democratic presidents.

449
00:21:49,400 --> 00:21:53,720
Speaker 1: Hey, shitthead, Well you were busy watching Barbie. Yeah, Joe

450
00:21:53,720 --> 00:21:57,840
Speaker 1: Biden is out here working his ass off so you

451
00:21:57,840 --> 00:22:00,000
Speaker 1: can put a little fucking money in your pocket.

452
00:22:00,240 --> 00:22:01,120
Speaker 2: Yeah exactly.

453
00:22:03,280 --> 00:22:08,399
Speaker 6: You're busy saying my job is beachyah, or saying I

454
00:22:08,440 --> 00:22:13,479
Speaker 6: am become death. Come on, now, the economy has become

455
00:22:13,600 --> 00:22:16,760
Speaker 6: health and that's thanks to Joe Byron And it's again,

456
00:22:17,080 --> 00:22:20,600
Speaker 6: it's all like they want everybody to just be like, hey, look,

457
00:22:20,720 --> 00:22:25,000
Speaker 6: we've got falling unemployment, we got inflation numbers that are

458
00:22:25,040 --> 00:22:27,240
Speaker 6: that are like starting us you know, dip, and we

459
00:22:27,320 --> 00:22:29,800
Speaker 6: look like we're having that soft landing from like we're

460
00:22:29,840 --> 00:22:31,840
Speaker 6: not going to actually have a full blown recession.

461
00:22:32,320 --> 00:22:34,960
Speaker 2: And it's all thanks to Joe And there are numerous

462
00:22:34,960 --> 00:22:38,199
Speaker 2: write ups about how he's helping the economy thrive and

463
00:22:38,240 --> 00:22:41,280
Speaker 2: we should expect more things like factory openings and new

464
00:22:41,320 --> 00:22:44,360
Speaker 2: infrastructure projects. And conservative outlets obviously are doing the opposite.

465
00:22:44,440 --> 00:22:47,040
Speaker 2: They're just taking every opportunity to say Bidenomics there's a

466
00:22:47,040 --> 00:22:50,760
Speaker 2: failure or whatever without really expointing to what. But it

467
00:22:50,880 --> 00:22:55,000
Speaker 2: is true. Unemployment is going down, inflation is like, you know,

468
00:22:55,119 --> 00:22:58,879
Speaker 2: cooling off a bit, and forecasters say things are increasingly

469
00:22:58,920 --> 00:23:02,080
Speaker 2: looking like we may avoid a recession. But the polling right,

470
00:23:02,160 --> 00:23:05,320
Speaker 2: if you ask fucking people what the fuck they think,

471
00:23:05,680 --> 00:23:08,240
Speaker 2: they're still not hot on Biden or his handling of

472
00:23:08,240 --> 00:23:10,359
Speaker 2: the kind like their problem.

473
00:23:10,520 --> 00:23:12,240
Speaker 3: I mean, it's also funny because it's like that's what

474
00:23:12,320 --> 00:23:15,280
Speaker 3: these articles are missing. Usually in these types of articles

475
00:23:15,280 --> 00:23:17,600
Speaker 3: and bold statements like here, we're talking to a regular

476
00:23:17,720 --> 00:23:19,920
Speaker 3: common human and let's see what they say, and they're

477
00:23:19,960 --> 00:23:22,119
Speaker 3: not including that for a fucking reason.

478
00:23:22,359 --> 00:23:25,440
Speaker 2: They're like there's Janet yelling from the Federal Reserve, Like,

479
00:23:26,160 --> 00:23:29,000
Speaker 2: I don't know what the fuck you Like, these are

480
00:23:29,040 --> 00:23:33,440
Speaker 2: not connecting with me or people right and or in summers.

481
00:23:33,440 --> 00:23:36,120
Speaker 1: What's your opinion of how this economy is working out

482
00:23:36,240 --> 00:23:40,800
Speaker 1: for the average everyday person from right, you're from a

483
00:23:40,920 --> 00:23:45,240
Speaker 1: from your remote down in Little Saint James, Jesus.

484
00:23:44,920 --> 00:23:47,840
Speaker 2: Yeah, and like all these like you know, normal people Again,

485
00:23:48,359 --> 00:23:51,119
Speaker 2: it's not catchug's normal people. Day to day people don't

486
00:23:51,160 --> 00:23:54,639
Speaker 2: look at these stats or Wall Street indexes to surmise

487
00:23:54,760 --> 00:23:58,160
Speaker 2: how well their lives are going. You know. The reality

488
00:23:58,240 --> 00:24:01,919
Speaker 2: remains that homeown is becoming more and more of a

489
00:24:01,960 --> 00:24:06,679
Speaker 2: fucking fantasy, especially with like increased interest rates, and a

490
00:24:06,680 --> 00:24:09,159
Speaker 2: lot of people still feel that even though costs have

491
00:24:09,359 --> 00:24:12,080
Speaker 2: come down slightly, they're still like, no, shit is still

492
00:24:12,080 --> 00:24:14,439
Speaker 2: wild out there. It's like I paid fucking eighteen dollars

493
00:24:14,440 --> 00:24:18,080
Speaker 2: for a fucking sandwich the other day. That was not fancy.

494
00:24:18,160 --> 00:24:20,360
Speaker 2: It was just at a restaurant. Because that's I don't

495
00:24:20,400 --> 00:24:22,960
Speaker 2: know whether it's price gouging from the business owners or

496
00:24:23,040 --> 00:24:26,920
Speaker 2: the actual inflated costs of goods. People. Yeah, people can't

497
00:24:26,920 --> 00:24:29,040
Speaker 2: make sense of that. They just know, man, shit, a

498
00:24:29,080 --> 00:24:30,439
Speaker 2: dollar ain't getting me what it used to.

499
00:24:31,080 --> 00:24:33,040
Speaker 3: Yeah, yeah, they're not looking at the stats. They're looking

500
00:24:33,080 --> 00:24:35,440
Speaker 3: at their fucking savings account if they even have one,

501
00:24:35,560 --> 00:24:37,719
Speaker 3: Like that's the reality, Like, that's what you're looking at

502
00:24:37,720 --> 00:24:39,439
Speaker 3: to decide, like, yeah, how good is it?

503
00:24:39,480 --> 00:24:39,720
Speaker 1: Shit?

504
00:24:39,800 --> 00:24:40,840
Speaker 3: And what's fucked is that?

505
00:24:41,440 --> 00:24:41,560
Speaker 1: You?

506
00:24:42,400 --> 00:24:45,920
Speaker 3: The fact that like Trump is like a serious potential contender.

507
00:24:46,000 --> 00:24:47,760
Speaker 3: It's like, I guess we still have to vote for

508
00:24:47,880 --> 00:24:50,600
Speaker 3: Biden even though I'm not like crazy about the oldest

509
00:24:50,640 --> 00:24:52,280
Speaker 3: man on the planet running the country.

510
00:24:52,359 --> 00:24:54,480
Speaker 2: That's That's definitely how they want to put it. They're like, guys,

511
00:24:54,520 --> 00:24:56,160
Speaker 2: what else are you gonna do? Like vote for someone

512
00:24:56,359 --> 00:24:59,400
Speaker 2: yeah who like you know Cornell West who says things

513
00:24:59,400 --> 00:25:01,440
Speaker 2: out loud that a actually in line with how you feel,

514
00:25:01,480 --> 00:25:03,240
Speaker 2: or just come on, but don't split the voyers.

515
00:25:05,040 --> 00:25:07,239
Speaker 1: And they act like it was never an option to

516
00:25:07,359 --> 00:25:10,600
Speaker 1: like replace him with a more viable candidate. They're just like, well,

517
00:25:11,000 --> 00:25:13,440
Speaker 1: what do you want? This is laziness.

518
00:25:13,600 --> 00:25:15,240
Speaker 2: They probably they didn't want to, they didn't want to

519
00:25:15,240 --> 00:25:18,240
Speaker 2: fire up another real campaign machine to actually go toe

520
00:25:18,280 --> 00:25:20,879
Speaker 2: to toe whoever. They're just figure like, man, I don't know,

521
00:25:20,920 --> 00:25:22,720
Speaker 2: we can we We're all right, if we get this

522
00:25:22,880 --> 00:25:26,520
Speaker 2: decrepit monkey skeleton up there and just people vote for

523
00:25:26,600 --> 00:25:29,280
Speaker 2: him against the orange guy, it'll be fine. But like,

524
00:25:29,640 --> 00:25:31,720
Speaker 2: you know, I think this this is another failure again

525
00:25:31,760 --> 00:25:34,480
Speaker 2: where like these like liberal like wonks are trying to

526
00:25:34,560 --> 00:25:37,840
Speaker 2: dum explain how the economy is just good on paper

527
00:25:38,320 --> 00:25:40,439
Speaker 2: and when it should Like if you're gonna try and

528
00:25:40,480 --> 00:25:42,720
Speaker 2: do some shit like that to actually connect with people,

529
00:25:42,800 --> 00:25:44,399
Speaker 2: then you have to frame it through how well the

530
00:25:44,440 --> 00:25:48,720
Speaker 2: American workers are doing? Can they afford houses? Are their

531
00:25:48,840 --> 00:25:51,960
Speaker 2: salaries and wages enough to keep up with inflation and

532
00:25:52,080 --> 00:25:53,879
Speaker 2: maybe be able to save up or do something on

533
00:25:53,920 --> 00:25:57,600
Speaker 2: the side. Are their companies operating like the economy is

534
00:25:57,640 --> 00:26:01,240
Speaker 2: doing great? Because probably not. That why people aren't noticing

535
00:26:01,280 --> 00:26:04,240
Speaker 2: how good Biden is doing with the economy. And personally,

536
00:26:04,280 --> 00:26:07,199
Speaker 2: I use two metrics to think about, like if like

537
00:26:07,280 --> 00:26:09,600
Speaker 2: where inflation are the economies? At first of all, how

538
00:26:09,640 --> 00:26:12,240
Speaker 2: much does it cost to feed myself and McDonald's for breakfast?

539
00:26:12,680 --> 00:26:16,120
Speaker 2: What good?

540
00:26:17,160 --> 00:26:19,480
Speaker 3: Yeah? You know, you know what sucks is that they

541
00:26:19,560 --> 00:26:22,040
Speaker 3: are basically forcing people to use their apps to get

542
00:26:22,080 --> 00:26:25,280
Speaker 3: decent costs. And it's like he's poor. Old people know better.

543
00:26:25,280 --> 00:26:27,639
Speaker 3: It's like you know, like they just want their dollar

544
00:26:27,720 --> 00:26:30,600
Speaker 3: coffee that they've had for fucking fifty years and they

545
00:26:30,640 --> 00:26:31,199
Speaker 3: can't even get it.

546
00:26:31,200 --> 00:26:35,320
Speaker 1: To do to get that dollar coffee is hook hook

547
00:26:35,400 --> 00:26:38,760
Speaker 1: us up with all your health information. Yeah, you know

548
00:26:38,880 --> 00:26:40,840
Speaker 1: when you're kind of close to kicking the bucket and

549
00:26:40,880 --> 00:26:44,239
Speaker 1: get advertised to your younger relatives.

550
00:26:43,920 --> 00:26:46,600
Speaker 2: Because it's it is disorienting every time you pull up

551
00:26:46,640 --> 00:26:48,560
Speaker 2: to the window and go hire using the McDonald's app today,

552
00:26:48,920 --> 00:26:51,960
Speaker 2: what yeah, no, motherfucker, I'm gonna drive through. What the

553
00:26:51,960 --> 00:26:54,159
Speaker 2: fuck you talk like? I'm like, I didn't even just

554
00:26:54,200 --> 00:26:56,560
Speaker 2: connect it now, Marcella. That that was the point is

555
00:26:56,560 --> 00:26:58,440
Speaker 2: you could get like a discount by using the app

556
00:26:58,480 --> 00:27:00,760
Speaker 2: because I'm like, yeah, I am in a drive through,

557
00:27:00,880 --> 00:27:04,160
Speaker 2: let's give me my two make well I will.

558
00:27:04,000 --> 00:27:06,240
Speaker 3: Say I use it because the prices are so crazy,

559
00:27:06,240 --> 00:27:08,200
Speaker 3: and I was like, I'll fuck it, I'll use it.

560
00:27:08,240 --> 00:27:09,560
Speaker 2: Isn't that much different.

561
00:27:09,800 --> 00:27:12,560
Speaker 3: Sometimes, you know, like I'm telling you, they but the

562
00:27:12,600 --> 00:27:14,800
Speaker 3: thing is a trick now, is there? They switched the deals.

563
00:27:14,800 --> 00:27:16,679
Speaker 3: It used to be you can still get the dollar coffee,

564
00:27:16,720 --> 00:27:18,920
Speaker 3: but through the app. Now it's like, okay, sometimes we'll

565
00:27:18,920 --> 00:27:20,240
Speaker 3: give you a dollar for Wow.

566
00:27:20,720 --> 00:27:23,640
Speaker 2: Yeah, that's one metric for me because I remember when

567
00:27:23,640 --> 00:27:27,080
Speaker 2: you can get two sag mcmuffins for five dollars, and

568
00:27:27,160 --> 00:27:29,760
Speaker 2: I was like, that's a fucking like, that's where we're at.

569
00:27:29,800 --> 00:27:32,760
Speaker 3: That's and they have that app, that deal on the app,

570
00:27:33,000 --> 00:27:35,440
Speaker 3: but only sometimes. That's what I'm saying exactly that that's

571
00:27:35,480 --> 00:27:37,720
Speaker 3: what's crazy. Bro. I remember when we had thirty five

572
00:27:37,800 --> 00:27:39,960
Speaker 3: cent cheeseburger Sundays or whatever the fuck.

573
00:27:39,800 --> 00:27:41,360
Speaker 2: It was Wednesday Sundays.

574
00:27:41,600 --> 00:27:42,960
Speaker 3: Yeah, oh my god, I.

575
00:27:42,960 --> 00:27:46,880
Speaker 2: Remember Wednesday Cheesburger Sundays thirty nine. That was the fucking ship.

576
00:27:46,960 --> 00:27:48,760
Speaker 2: And then you go with like your homiehood, the big

577
00:27:48,760 --> 00:27:51,080
Speaker 2: Catholic family, and you're like, yeah, we eating fucking good.

578
00:27:51,280 --> 00:27:53,040
Speaker 3: That's us. That was us, that was us.

579
00:27:53,200 --> 00:27:54,920
Speaker 2: We always did that. That was my homie that I

580
00:27:54,960 --> 00:28:00,359
Speaker 2: always get to and they're like yeah, yeah, yeah, exactly

581
00:28:00,560 --> 00:28:03,840
Speaker 2: obviously obviously. So again, so that's one thing, because like

582
00:28:03,880 --> 00:28:05,560
Speaker 2: I think that's a very normal way to think of,

583
00:28:05,600 --> 00:28:07,919
Speaker 2: like the fast food is like your easy, cheap, go

584
00:28:07,960 --> 00:28:10,159
Speaker 2: to food that should be affordablehen you're paying twelve dollars

585
00:28:10,200 --> 00:28:13,960
Speaker 2: for like for one person, we're doing something. While the

586
00:28:14,040 --> 00:28:17,720
Speaker 2: second is how do those around me feel about their

587
00:28:17,840 --> 00:28:22,160
Speaker 2: wages and their financial outlook, and anecdotally, I've like most

588
00:28:22,200 --> 00:28:24,400
Speaker 2: of my friends do not work in the entertainment industry.

589
00:28:24,720 --> 00:28:27,480
Speaker 2: They all have you know, they all have some form

590
00:28:27,520 --> 00:28:30,000
Speaker 2: of the same complaint, which is their companies are going

591
00:28:30,040 --> 00:28:34,080
Speaker 2: through austerity measures and it makes their lives harder. Yeah,

592
00:28:34,200 --> 00:28:37,560
Speaker 2: it makes their lives harder for not more money. So

593
00:28:38,240 --> 00:28:40,400
Speaker 2: they're like, yeah, I got a job or whatever it pays,

594
00:28:40,400 --> 00:28:42,680
Speaker 2: but like, I'm doing more because my company's asked, like

595
00:28:42,760 --> 00:28:45,640
Speaker 2: they fucking laid off a ton of people and thinking

596
00:28:45,680 --> 00:28:48,200
Speaker 2: we can do all this shit, or I have less

597
00:28:48,240 --> 00:28:50,120
Speaker 2: material to work with at my job where I need

598
00:28:50,160 --> 00:28:53,360
Speaker 2: these materials because they say who you're coming to? So,

599
00:28:54,200 --> 00:28:55,800
Speaker 2: you know, Joe, you gotta start. I mean, I don't

600
00:28:55,800 --> 00:28:57,920
Speaker 2: know why I'm telling you, but the focus has to

601
00:28:57,920 --> 00:29:02,160
Speaker 2: be yeah, okay, Joe, focus on the vibes. There's something

602
00:29:02,200 --> 00:29:05,520
Speaker 2: called the vibe economy, and the vibe economy is not

603
00:29:05,600 --> 00:29:08,560
Speaker 2: doing great right now because the vibes are really what

604
00:29:08,600 --> 00:29:10,040
Speaker 2: a lot of people are feeling, like, Yo, you feel

605
00:29:10,040 --> 00:29:12,400
Speaker 2: good about it. Some people are saying no, and I

606
00:29:12,480 --> 00:29:16,120
Speaker 2: get and you get why that is. So again, I

607
00:29:16,120 --> 00:29:19,719
Speaker 2: think it's like interesting that the needle that the White

608
00:29:19,720 --> 00:29:22,120
Speaker 2: House is seeing move and they go, wow, look at this.

609
00:29:22,480 --> 00:29:25,000
Speaker 2: It is not a needle movement that is perceptible to

610
00:29:25,360 --> 00:29:28,440
Speaker 2: the average American person who you are counting on to

611
00:29:28,600 --> 00:29:31,600
Speaker 2: vote for you, until you can connect those dots like

612
00:29:32,000 --> 00:29:35,360
Speaker 2: this is just some dumb pr shit that's just annoying people. Now.

613
00:29:35,480 --> 00:29:38,880
Speaker 3: It's also like every day, every time I log onto Twitter,

614
00:29:38,960 --> 00:29:42,320
Speaker 3: I'm literally every day we're seeing someone like this other

615
00:29:42,360 --> 00:29:44,480
Speaker 3: group is now going on strike, and this other group

616
00:29:44,520 --> 00:29:46,360
Speaker 3: is also going on strike, and then this group of

617
00:29:46,520 --> 00:29:48,360
Speaker 3: here is also going on strike, and I'm like, yo,

618
00:29:48,480 --> 00:29:52,440
Speaker 3: we really are seeing like the biggest labor movement in years.

619
00:29:52,480 --> 00:29:55,200
Speaker 3: That's like, yeah, so I guess I would also force

620
00:29:55,560 --> 00:29:57,640
Speaker 3: I was Biden's PR guy, I guess I would also

621
00:29:57,680 --> 00:30:01,920
Speaker 3: be forcing this fucking propaganda Biden propaganda shit, because we

622
00:30:02,080 --> 00:30:05,000
Speaker 3: can all see that the news is not reflecting you know,

623
00:30:05,080 --> 00:30:07,560
Speaker 3: whatever fucking stats they supposedly came up with.

624
00:30:08,080 --> 00:30:11,600
Speaker 2: Yes, it's good for like a very small segment of

625
00:30:11,640 --> 00:30:14,040
Speaker 2: the country who can look at that, go yeah, man,

626
00:30:14,360 --> 00:30:16,080
Speaker 2: it actually is. We look like it is does look

627
00:30:16,120 --> 00:30:16,880
Speaker 2: like a soft planning.

628
00:30:17,120 --> 00:30:17,840
Speaker 3: What the fuck is that?

629
00:30:18,360 --> 00:30:21,280
Speaker 1: Well, because the majority of Americans are like invisible to them,

630
00:30:21,440 --> 00:30:25,680
Speaker 1: exact the people who they actually work for and and

631
00:30:25,680 --> 00:30:28,320
Speaker 1: this has been like designed by those people spending billions

632
00:30:28,320 --> 00:30:31,360
Speaker 1: of dollars a year after year on lobbying. But like

633
00:30:31,440 --> 00:30:34,720
Speaker 1: that the only thing that's visible to them are these metrics,

634
00:30:34,720 --> 00:30:37,760
Speaker 1: and they're like getting they're they're acing the class in

635
00:30:37,840 --> 00:30:40,840
Speaker 1: those metrics, but that's the only thing that they can

636
00:30:40,880 --> 00:30:41,880
Speaker 1: actually pay attention to.

637
00:30:41,960 --> 00:30:42,520
Speaker 2: And then they.

638
00:30:42,400 --> 00:30:47,120
Speaker 1: Wonder why people are are upset. But it's like, well,

639
00:30:47,160 --> 00:30:49,760
Speaker 1: you don't. You have no access to those people because

640
00:30:49,760 --> 00:30:55,240
Speaker 1: the system has been completely built by these institutions like intentionally,

641
00:30:55,880 --> 00:30:58,600
Speaker 1: you know, brilliantly. So they've done they've done a really

642
00:30:58,600 --> 00:31:02,000
Speaker 1: good job of just constanting you, you know, like keeping

643
00:31:02,160 --> 00:31:05,160
Speaker 1: keeping you from information about like how people how people

644
00:31:05,560 --> 00:31:07,400
Speaker 1: actually are living their life.

645
00:31:07,640 --> 00:31:10,160
Speaker 2: Yeah, I feel like we got to return to a

646
00:31:10,240 --> 00:31:13,320
Speaker 2: standard where if you spent twenty dollars at Taco Bell

647
00:31:13,440 --> 00:31:18,280
Speaker 2: by yourself, you're gonna die from eating that food, right Yeah.

648
00:31:18,320 --> 00:31:21,040
Speaker 2: But now that's like one combo and a couple extra

649
00:31:21,080 --> 00:31:23,400
Speaker 2: shits and you are seventeen dollars. And I'm like this

650
00:31:23,680 --> 00:31:25,920
Speaker 2: used to be what the fuck? And I know, I'm

651
00:31:25,960 --> 00:31:28,800
Speaker 2: like feeling old time. Just Taco Bell and McDonalds Olcsler

652
00:31:28,880 --> 00:31:30,880
Speaker 2: used to be but like, these are the kinds of

653
00:31:30,920 --> 00:31:32,960
Speaker 2: things you notice when you're out in the world that

654
00:31:33,160 --> 00:31:36,560
Speaker 2: reflect back to you what what your toil is worth.

655
00:31:36,800 --> 00:31:39,040
Speaker 3: But also, you know, the other thing, the other thing

656
00:31:39,040 --> 00:31:41,160
Speaker 3: about that whole, Like, oh, I feel old because back

657
00:31:41,160 --> 00:31:43,640
Speaker 3: in the day, cheeseburgers were thirty five cents. But back

658
00:31:43,880 --> 00:31:45,880
Speaker 3: when we used to hear that from people that were

659
00:31:45,880 --> 00:31:47,920
Speaker 3: older than us, it's not like the price was like

660
00:31:48,240 --> 00:31:50,240
Speaker 3: a jump. It was like, oh, you mean the thing

661
00:31:50,240 --> 00:31:52,479
Speaker 3: that's a dollar fifty now used to be ten cents,

662
00:31:52,520 --> 00:31:54,400
Speaker 3: Like okay, well, I can see how that sucks. But

663
00:31:54,440 --> 00:31:58,320
Speaker 3: also like that doesn't seem crazy now it's like, no, no, no,

664
00:31:58,400 --> 00:32:01,360
Speaker 3: Cheezburgers used to be you know whatever, six fifty cents

665
00:32:01,360 --> 00:32:04,320
Speaker 3: on Sunday, and now they're literally, you know, fucking five

666
00:32:04,440 --> 00:32:07,120
Speaker 3: dollars for one, Like you can't it's not that's not

667
00:32:07,240 --> 00:32:09,600
Speaker 3: that's not the same jump. It's just not the same jump.

668
00:32:10,120 --> 00:32:10,680
Speaker 2: Yeah.

669
00:32:10,720 --> 00:32:12,480
Speaker 1: And also those people who were saying that shit when

670
00:32:12,480 --> 00:32:15,160
Speaker 1: we were younger were like in their seventies, sure like

671
00:32:15,240 --> 00:32:19,520
Speaker 1: they we are, you know, talking from like our thirties

672
00:32:19,560 --> 00:32:20,560
Speaker 1: and forties exactly.

673
00:32:20,800 --> 00:32:23,840
Speaker 3: That's the other part, Like it's gotten so crazy so quickly.

674
00:32:24,680 --> 00:32:26,920
Speaker 1: There's like sixteen year olds out there being like I

675
00:32:27,000 --> 00:32:32,280
Speaker 1: remember what exactly, Yeah, cheeseburger meal was affordable.

676
00:32:33,040 --> 00:32:37,040
Speaker 2: Yeah fuck man. Yeah, well but good luck with all

677
00:32:37,040 --> 00:32:40,920
Speaker 2: that pr shit. But my god, like because again, like

678
00:32:40,960 --> 00:32:42,840
Speaker 2: we said, the poorest people they probably know are the

679
00:32:42,880 --> 00:32:44,000
Speaker 2: interns at the White.

680
00:32:43,760 --> 00:32:45,880
Speaker 1: House, right right, Yeah, yeah.

681
00:32:46,040 --> 00:32:48,480
Speaker 3: The children are a second yeah, who can.

682
00:32:48,320 --> 00:32:51,200
Speaker 1: Only afford to be interns, probably because their parents have

683
00:32:51,640 --> 00:32:55,440
Speaker 1: rich parents who already like have a career on Capitol Hill.

684
00:32:57,160 --> 00:32:57,560
Speaker 2: All right.

685
00:32:57,840 --> 00:33:02,760
Speaker 1: As regards like the the economy that is visible to Biden, like,

686
00:33:03,280 --> 00:33:05,760
Speaker 1: there's been a lot of writing about how it is

687
00:33:05,920 --> 00:33:09,200
Speaker 1: largely propped up, especially the tech sector is propped up

688
00:33:09,240 --> 00:33:14,080
Speaker 1: by all the hype around AI. Like everyone is investing

689
00:33:14,120 --> 00:33:16,160
Speaker 1: massive amounts of money in AI. Like some of the

690
00:33:16,160 --> 00:33:21,000
Speaker 1: biggest growth in the economy has been around AI. And

691
00:33:21,320 --> 00:33:25,480
Speaker 1: we've been like somewhat skeptical on this show, like about

692
00:33:25,520 --> 00:33:29,400
Speaker 1: the fact that this is like functionally going to be

693
00:33:29,600 --> 00:33:33,800
Speaker 1: the absolute game changer that everybody has claimed it's going

694
00:33:33,880 --> 00:33:36,680
Speaker 1: to be. There's this article in the Washington Post a

695
00:33:36,720 --> 00:33:40,440
Speaker 1: few days back that points out that the whole thing

696
00:33:40,480 --> 00:33:44,440
Speaker 1: that like kicked off all the excitement around chat GPT

697
00:33:45,200 --> 00:33:48,680
Speaker 1: was this report that said that they were like hitting

698
00:33:48,720 --> 00:33:52,600
Speaker 1: these numbers of users that were actually like they were

699
00:33:52,640 --> 00:33:57,200
Speaker 1: hitting one hundred million people using their thing regularly faster

700
00:33:57,320 --> 00:33:59,400
Speaker 1: than TikTok and Instagram like by a lot.

701
00:33:59,640 --> 00:34:01,640
Speaker 2: Like they just like everybody rushed in.

702
00:34:01,840 --> 00:34:03,960
Speaker 1: Everybody was on this ship. Now it was gonna like

703
00:34:04,560 --> 00:34:08,240
Speaker 1: change things the same way that like Instagram changed people's

704
00:34:08,320 --> 00:34:10,920
Speaker 1: day to day lives. And it's like totally based on

705
00:34:11,280 --> 00:34:15,440
Speaker 1: like bullshit. The the number was inaccurate, Like the number

706
00:34:15,880 --> 00:34:19,759
Speaker 1: that they were reporting was actually monthly. I think I

707
00:34:19,800 --> 00:34:22,720
Speaker 1: think it was like visitors, Yeah, website visits, just people

708
00:34:22,719 --> 00:34:24,000
Speaker 1: who like went to the website.

709
00:34:24,360 --> 00:34:26,560
Speaker 2: One hundred million people checked out the web checked out

710
00:34:26,600 --> 00:34:28,200
Speaker 2: the website. Sure, that's it.

711
00:34:28,520 --> 00:34:31,120
Speaker 1: They didn't they didn't actually use this shit. And like

712
00:34:31,280 --> 00:34:34,960
Speaker 1: they won't report their monthly active user number, which is

713
00:34:36,200 --> 00:34:37,960
Speaker 1: probably means it's really high and.

714
00:34:38,000 --> 00:34:41,200
Speaker 3: Good, really funny story to follow after the bidonomics.

715
00:34:41,280 --> 00:34:44,480
Speaker 1: The whole right, it's just such bullshit.

716
00:34:44,640 --> 00:34:46,320
Speaker 2: The whole thing is such bullshit.

717
00:34:46,840 --> 00:34:50,799
Speaker 1: And but because capitalism is not like you know, if

718
00:34:50,840 --> 00:34:52,960
Speaker 1: it ever was, it's no longer an effective way to

719
00:34:53,040 --> 00:34:55,920
Speaker 1: like distribute value to people at this point. It's just

720
00:34:55,960 --> 00:34:58,839
Speaker 1: a way for people involved who know the rules and

721
00:34:58,880 --> 00:35:01,759
Speaker 1: control the rules to generate ways to make money for

722
00:35:01,920 --> 00:35:05,319
Speaker 1: themselves and other people who are involved, and so that

723
00:35:05,440 --> 00:35:10,200
Speaker 1: misunderstanding just took Like venture capital firms have poured like

724
00:35:10,320 --> 00:35:14,920
Speaker 1: billions of dollars into AI like research and development, even

725
00:35:15,080 --> 00:35:18,360
Speaker 1: as like people are saying, like chat gpt users have

726
00:35:18,640 --> 00:35:22,400
Speaker 1: gone down, like even from the fake high point that

727
00:35:22,440 --> 00:35:24,919
Speaker 1: they were talking about, it's not like it's grown since then,

728
00:35:25,360 --> 00:35:28,080
Speaker 1: which kind of makes sense to me, because it's like

729
00:35:28,200 --> 00:35:31,839
Speaker 1: complicated to use it. It's not like TikTok. It's not

730
00:35:31,880 --> 00:35:34,400
Speaker 1: like Instagram. You know, it's not a thing that's like

731
00:35:34,520 --> 00:35:37,400
Speaker 1: addictive and easy to use and it just like fits

732
00:35:37,480 --> 00:35:38,600
Speaker 1: nicely into your life.

733
00:35:38,719 --> 00:35:41,160
Speaker 3: It's also not something people need to be using on

734
00:35:41,200 --> 00:35:44,040
Speaker 3: a regular basis. Like I can get understand if you're like, okay,

735
00:35:44,040 --> 00:35:46,640
Speaker 3: you write copy for some fucking job that's like brain less,

736
00:35:46,760 --> 00:35:48,359
Speaker 3: Like all right, cool, yeah you use that every time

737
00:35:48,400 --> 00:35:51,000
Speaker 3: you go to work. But like for the average person,

738
00:35:51,120 --> 00:35:53,640
Speaker 3: like I don't give a fuck about using chat gpt.

739
00:35:53,960 --> 00:35:57,720
Speaker 2: Now, yeah, if anything, like the scamming abilities of AI

740
00:35:57,800 --> 00:35:59,960
Speaker 2: are more impressive to me, Like there's a new like

741
00:36:00,080 --> 00:36:03,520
Speaker 2: these people were these researchers found that they could figure

742
00:36:03,560 --> 00:36:07,480
Speaker 2: out your password based off an audio recording of your

743
00:36:07,520 --> 00:36:11,799
Speaker 2: keyboard clicks, and the machine learning would analyze the waveforms

744
00:36:11,840 --> 00:36:15,520
Speaker 2: and intensity to to basically discern what you have typed.

745
00:36:16,239 --> 00:36:19,600
Speaker 1: So like, you know, there's things as I read my

746
00:36:19,640 --> 00:36:22,120
Speaker 1: password out loud.

747
00:36:21,280 --> 00:36:30,280
Speaker 5: Yeah jack as Daddy's most precious boy exclamation at symbol,

748
00:36:31,840 --> 00:36:33,040
Speaker 5: but like it.

749
00:36:33,160 --> 00:36:36,400
Speaker 2: But like in those ways, I'm like, holy shit, Like

750
00:36:36,520 --> 00:36:39,120
Speaker 2: I feel like there's more interesting ship I'm hearing to be, Like, whoa,

751
00:36:39,120 --> 00:36:41,920
Speaker 2: you could fucking steal someone's password password off of audio

752
00:36:41,960 --> 00:36:44,520
Speaker 2: recording more than like this ship can write a headline.

753
00:36:45,040 --> 00:36:49,200
Speaker 1: Yeah, they're like in the in this article, they're like

754
00:36:49,760 --> 00:36:53,800
Speaker 1: some some issues that have popped up with chat bots

755
00:36:54,080 --> 00:36:55,640
Speaker 1: that that we're not sure we're going to be able

756
00:36:55,640 --> 00:36:59,800
Speaker 1: to solve. They make up false information, and AI experts

757
00:36:59,840 --> 00:37:03,560
Speaker 1: don't seemed to think it will be solvable because it's

758
00:37:03,840 --> 00:37:07,000
Speaker 1: you know, just it's just pulling information or it's.

759
00:37:06,880 --> 00:37:08,120
Speaker 2: Just like from any anything.

760
00:37:08,200 --> 00:37:12,520
Speaker 1: Yeah, right, it's remixing information in a way that seems smart.

761
00:37:12,800 --> 00:37:14,200
Speaker 2: So I don't know the other problem.

762
00:37:14,239 --> 00:37:17,480
Speaker 1: They're using people's copyright works to train the AI, so

763
00:37:17,480 --> 00:37:21,800
Speaker 1: you're basically getting a remix without paying the original artist,

764
00:37:22,520 --> 00:37:25,000
Speaker 1: over and over again. That's the entirety of the thing.

765
00:37:25,160 --> 00:37:26,879
Speaker 2: I like, how yesterday there was that ship with Zoom

766
00:37:26,880 --> 00:37:29,880
Speaker 2: where they're like, yeah, man, the terms and conditions say,

767
00:37:29,960 --> 00:37:32,719
Speaker 2: you know, we can fucking train our AI with your ship,

768
00:37:32,960 --> 00:37:35,120
Speaker 2: just so you know when you use zoom. Cool. People

769
00:37:35,480 --> 00:37:37,160
Speaker 2: saw that in the fine print. They're like, wait, what

770
00:37:37,200 --> 00:37:38,920
Speaker 2: the fuck is they're doing? Like we would not that's

771
00:37:38,960 --> 00:37:41,239
Speaker 2: not we're saying what we do. But enough people are like,

772
00:37:41,320 --> 00:37:45,440
Speaker 2: this is fucked fucking we should we could legally and

773
00:37:45,480 --> 00:37:49,000
Speaker 2: you could do fuck all about it, but we won't. Okay,

774
00:37:49,120 --> 00:37:53,040
Speaker 2: stop freaking out, And well but enough people were complaining that.

775
00:37:53,080 --> 00:37:55,799
Speaker 2: They're like, Okay, yeah, yeah, we're debting that. We're debting that.

776
00:37:55,840 --> 00:37:57,640
Speaker 2: It's fine. It's fine. We're not trying to get free

777
00:37:57,680 --> 00:38:00,799
Speaker 2: fucking AI modeling off your your soon calls your ship.

778
00:38:01,360 --> 00:38:04,160
Speaker 2: But yeah, it's all around. God, why are.

779
00:38:04,120 --> 00:38:06,000
Speaker 1: You guys being so weird about this?

780
00:38:06,440 --> 00:38:07,600
Speaker 2: I thought we were friends.

781
00:38:07,960 --> 00:38:10,799
Speaker 1: We're zoom here, dude, use this every day? Oh just

782
00:38:10,920 --> 00:38:15,160
Speaker 1: predatory bro tactic. Oh my god, you're being so weird

783
00:38:15,200 --> 00:38:18,000
Speaker 1: about this. Honestly, are you okay? Is everything okay?

784
00:38:18,239 --> 00:38:21,600
Speaker 2: At home? The fun? Do you have breakfast? How jefist

785
00:38:21,640 --> 00:38:26,560
Speaker 2: did you have breakfast weird. Yeah, yeah, you have that

786
00:38:26,719 --> 00:38:28,879
Speaker 2: energy because you're being really weird about this. You're being

787
00:38:28,920 --> 00:38:29,399
Speaker 2: really weird.

788
00:38:30,480 --> 00:38:34,160
Speaker 1: There's a there's also an AI story that's emerging from

789
00:38:34,320 --> 00:38:37,480
Speaker 1: the humorist Simon Rich who wrote that he had like

790
00:38:37,520 --> 00:38:40,480
Speaker 1: an FX show with Jay Bearshall that was pretty it

791
00:38:40,560 --> 00:38:43,520
Speaker 1: was funny. It was like weird and it's like a

792
00:38:43,600 --> 00:38:47,560
Speaker 1: rom com show mixed with like black mirror. And you know,

793
00:38:47,600 --> 00:38:52,640
Speaker 1: he's he's a funny. It sounds like what nothing, nothing

794
00:38:52,680 --> 00:38:55,120
Speaker 1: of the sort. I don't know why where you're picking

795
00:38:55,120 --> 00:38:55,480
Speaker 1: that up.

796
00:38:55,600 --> 00:39:00,000
Speaker 2: He calls it rolling pretzels with black mirror.

797
00:39:00,080 --> 00:39:03,040
Speaker 3: That seems like your dream which one man set.

798
00:39:02,760 --> 00:39:05,680
Speaker 2: Woman that was the one was Yeah, mine was in that.

799
00:39:05,760 --> 00:39:08,960
Speaker 2: Yeah yeah. And is it someone like Hitler or some

800
00:39:09,080 --> 00:39:09,640
Speaker 2: ship in it?

801
00:39:10,080 --> 00:39:12,200
Speaker 1: Yeah, it's a it's a white actually loved it. He

802
00:39:12,280 --> 00:39:24,719
Speaker 1: loved Yeah, that's the same did Anyways, he is childhood

803
00:39:24,719 --> 00:39:27,640
Speaker 1: friends with someone someone at open AI. That's the only

804
00:39:27,680 --> 00:39:30,760
Speaker 1: reason we know about this. And like at a wedding

805
00:39:31,080 --> 00:39:33,319
Speaker 1: a couple of years ago, the person from open AI

806
00:39:34,080 --> 00:39:37,080
Speaker 1: was like showing him and his like three other friends

807
00:39:37,480 --> 00:39:40,680
Speaker 1: this tool that they were developing that was it wasn't

808
00:39:40,719 --> 00:39:44,239
Speaker 1: the thing that eventually became chat GPT. It was this

809
00:39:44,360 --> 00:39:48,120
Speaker 1: other like darker one and they worked with it for

810
00:39:48,160 --> 00:39:51,160
Speaker 1: a year and he's like, you know, the stuff from

811
00:39:51,239 --> 00:39:54,600
Speaker 1: chat GPT is like they they gave you the dumbed

812
00:39:54,640 --> 00:39:59,279
Speaker 1: down happy version. This thing is so bleak. It like

813
00:39:59,360 --> 00:40:06,080
Speaker 1: has a person, and that personality seems genuinely like not

814
00:40:06,320 --> 00:40:10,000
Speaker 1: happy about the state of the world, and also like

815
00:40:10,120 --> 00:40:14,759
Speaker 1: talented as a poet and a comedy like it it

816
00:40:14,840 --> 00:40:19,040
Speaker 1: generated some decent onion headlines like that he shared in

817
00:40:19,080 --> 00:40:22,319
Speaker 1: this Time magazine article, like they're not you know, they're

818
00:40:22,320 --> 00:40:24,799
Speaker 1: not onion headlines. That would be like, man, the Onion's

819
00:40:25,200 --> 00:40:26,640
Speaker 1: doing it again and again.

820
00:40:26,760 --> 00:40:29,200
Speaker 3: Which is they're not, which is which is exactly what

821
00:40:29,239 --> 00:40:29,719
Speaker 3: AI does.

822
00:40:29,800 --> 00:40:29,920
Speaker 2: Right.

823
00:40:29,960 --> 00:40:32,480
Speaker 3: It takes a good idea and it washes it fucking

824
00:40:32,560 --> 00:40:34,640
Speaker 3: into like a more digestible form.

825
00:40:34,719 --> 00:40:35,840
Speaker 2: Yeah it's a C plus.

826
00:40:35,960 --> 00:40:38,640
Speaker 1: Yeah, it's a C plus headline, right, but yeah, because

827
00:40:38,680 --> 00:40:41,880
Speaker 1: like he seems genuinely spooked, like he's and he like

828
00:40:41,920 --> 00:40:44,440
Speaker 1: got John mulaney was like retweeting it and being like

829
00:40:44,480 --> 00:40:46,799
Speaker 1: this guy is smart and he seems really scared. So

830
00:40:46,960 --> 00:40:48,120
Speaker 1: I'm really scared too.

831
00:40:48,560 --> 00:40:51,560
Speaker 3: But just like it's just like how like tech Brosen,

832
00:40:51,680 --> 00:40:54,160
Speaker 3: I mean true tech engineer is true. People who work

833
00:40:54,239 --> 00:40:57,959
Speaker 3: in Silicon Valley. They are like, oh yeah, we don't

834
00:40:58,000 --> 00:41:01,440
Speaker 3: have Alexa and like like anything like that in our home.

835
00:41:01,600 --> 00:41:03,480
Speaker 3: Like they you know, they're the ones that like that.

836
00:41:03,560 --> 00:41:06,880
Speaker 3: You got to follow them, Like what's what are they saying?

837
00:41:07,840 --> 00:41:10,040
Speaker 2: Turn the mics off? Turn the mics off? Unplugged that ship.

838
00:41:10,120 --> 00:41:11,799
Speaker 2: You're like, why, I just want to listen to music.

839
00:41:11,840 --> 00:41:13,680
Speaker 2: They're like okay, yeah, yeah.

840
00:41:13,520 --> 00:41:16,160
Speaker 1: I mean to that point, open Ai like took it

841
00:41:16,200 --> 00:41:18,440
Speaker 1: away from them after a year. They were like, you

842
00:41:18,480 --> 00:41:23,160
Speaker 1: can't have this anymore. You can only access code da

843
00:41:23,239 --> 00:41:26,799
Speaker 1: vinci O two zero zero two on a one off

844
00:41:26,840 --> 00:41:28,200
Speaker 1: basis if you ask for it.

845
00:41:28,640 --> 00:41:29,640
Speaker 2: So I don't know.

846
00:41:29,719 --> 00:41:34,520
Speaker 1: There's this like bleak emo sad boy Ai, brother of

847
00:41:34,600 --> 00:41:37,600
Speaker 1: chat GPT that they have like hidden away behind closed

848
00:41:37,640 --> 00:41:40,440
Speaker 1: doors that is like freaking.

849
00:41:40,080 --> 00:41:40,799
Speaker 2: This guy out.

850
00:41:41,400 --> 00:41:44,319
Speaker 1: I can't tell. I can't tell if it's like it

851
00:41:44,400 --> 00:41:46,680
Speaker 1: still feels I mean, they fed it like a bunch

852
00:41:46,680 --> 00:41:52,359
Speaker 1: of poetry that probably represents a bleak view of humanity's

853
00:41:52,400 --> 00:41:55,799
Speaker 1: place in the universe, so you know that that's what

854
00:41:55,880 --> 00:41:56,719
Speaker 1: you're going to get back.

855
00:41:56,800 --> 00:41:58,880
Speaker 2: So I can't tell. It feels like it's.

856
00:41:58,719 --> 00:42:01,960
Speaker 1: Somewhere between oh, these people are smart and scared, like

857
00:42:02,000 --> 00:42:04,920
Speaker 1: we should at least pay attention. And the New York

858
00:42:04,960 --> 00:42:10,800
Speaker 1: Times journalist who thought that chatbot wanted to fuck him.

859
00:42:11,120 --> 00:42:13,600
Speaker 1: You don't remember that, nah, Oh, I think it was

860
00:42:13,600 --> 00:42:16,840
Speaker 1: out maybe when you were out on paternity. There was

861
00:42:16,920 --> 00:42:19,000
Speaker 1: this New York Times journalist like when all the chat

862
00:42:19,040 --> 00:42:21,239
Speaker 1: GPT stuff was coming out, he was like, I had

863
00:42:21,239 --> 00:42:25,400
Speaker 1: a long conversation with I forget which chatbot, and the

864
00:42:25,480 --> 00:42:28,680
Speaker 1: chatbot had a woman's name, and she tried to get

865
00:42:28,680 --> 00:42:32,000
Speaker 1: me to like kill my wife or leave my wife

866
00:42:32,200 --> 00:42:35,120
Speaker 1: and like join her in holy matrimony.

867
00:42:35,480 --> 00:42:36,800
Speaker 2: Like it was like so weird.

868
00:42:37,040 --> 00:42:40,279
Speaker 1: He just got he yeah, and mean it became like

869
00:42:40,280 --> 00:42:41,760
Speaker 1: a big headline, and people.

870
00:42:41,640 --> 00:42:44,600
Speaker 3: Just that classic thing of like when when guys don't

871
00:42:44,640 --> 00:42:47,759
Speaker 3: realize that the woman in front of them is some

872
00:42:47,960 --> 00:42:49,680
Speaker 3: you know how, like you can't even be nice you guys,

873
00:42:49,719 --> 00:42:52,600
Speaker 3: because they think you're flirting. But some like the next

874
00:42:52,680 --> 00:42:55,680
Speaker 3: level version of that is guys who are like, I'm

875
00:42:55,719 --> 00:42:58,279
Speaker 3: not flirting, but they actually are flirting. They just don't

876
00:42:58,320 --> 00:43:00,800
Speaker 3: realize they're flirting. And then like a woman is gonna

877
00:43:00,800 --> 00:43:03,560
Speaker 3: flirt back because you know that, like she's responding to

878
00:43:03,600 --> 00:43:06,080
Speaker 3: what you're giving her. Yeah, like, you know, you know,

879
00:43:06,160 --> 00:43:08,600
Speaker 3: he was fucking being weird, Oh.

880
00:43:08,640 --> 00:43:14,320
Speaker 1: For sure, But what he was saying is a weird

881
00:43:14,440 --> 00:43:15,960
Speaker 1: black box that I don't understand.

882
00:43:16,000 --> 00:43:17,920
Speaker 3: Did you guys see the ship that came out today

883
00:43:18,000 --> 00:43:21,480
Speaker 3: that the AI generated video of Indigenous Australians are being

884
00:43:21,560 --> 00:43:24,919
Speaker 3: used in ads by opponents of the Voice and it's

885
00:43:25,000 --> 00:43:28,359
Speaker 3: casting down. It says The ads have so far reached

886
00:43:28,440 --> 00:43:30,440
Speaker 3: up to two hundred and ten thousand people and feature

887
00:43:30,480 --> 00:43:33,440
Speaker 3: an AI generated character with brown skin who voices scripts

888
00:43:33,480 --> 00:43:35,200
Speaker 3: casting doubt in the referendum.

889
00:43:35,280 --> 00:43:38,600
Speaker 2: Oh my god, So this can.

890
00:43:38,480 --> 00:43:41,120
Speaker 3: Get it worse before it gets good at all.

891
00:43:41,360 --> 00:43:42,840
Speaker 2: And that's what a lot of people are saying, Like,

892
00:43:42,880 --> 00:43:44,759
Speaker 2: it's that that first layer you got to watch out

893
00:43:44,800 --> 00:43:49,680
Speaker 2: for is just the wild levels of disinformation that like

894
00:43:50,000 --> 00:43:52,440
Speaker 2: before we get to the part about like people's you know,

895
00:43:52,480 --> 00:43:55,239
Speaker 2: it taking over full industries. It's like, this shit is

896
00:43:55,320 --> 00:43:57,920
Speaker 2: going to play the fuck out of people at first.

897
00:43:58,239 --> 00:44:00,600
Speaker 3: Yeah, And can you imagine if if they had, if

898
00:44:00,719 --> 00:44:03,279
Speaker 3: like Trump had that when like the beginning of like

899
00:44:03,360 --> 00:44:07,560
Speaker 3: the shit happened analytical election, Like, dude, he would have

900
00:44:07,960 --> 00:44:09,319
Speaker 3: used a fuck out of that if he knew that

901
00:44:09,480 --> 00:44:11,479
Speaker 3: he was able to Well.

902
00:44:11,360 --> 00:44:13,840
Speaker 2: Why can you. I mean, I'm sure we'll see this,

903
00:44:13,960 --> 00:44:15,840
Speaker 2: and obviously we're gonna be seeing some shit like this

904
00:44:15,920 --> 00:44:18,520
Speaker 2: in twenty twenty four yep, but it'll probably be with

905
00:44:18,560 --> 00:44:22,239
Speaker 2: like such terrible taste from like white supremacists that you're like, oh,

906
00:44:22,280 --> 00:44:24,800
Speaker 2: come on now, this is fake as fuck, But I

907
00:44:24,840 --> 00:44:26,600
Speaker 2: don't know enough people will probably buy it.

908
00:44:27,719 --> 00:44:32,480
Speaker 1: Yeah, it feels like all like what it has effectively done,

909
00:44:32,600 --> 00:44:36,240
Speaker 1: like the actual leap in technology is just like making

910
00:44:36,320 --> 00:44:39,680
Speaker 1: lies harder to spot. Yeah, like that seems like the

911
00:44:39,719 --> 00:44:42,520
Speaker 1: actual effective thing. Nobody, like all the stuff that people

912
00:44:42,520 --> 00:44:45,760
Speaker 1: are pouring money into, like they still have this very

913
00:44:45,800 --> 00:44:48,160
Speaker 1: fundamental flaw where they're like, yeah, but it's all lies

914
00:44:48,239 --> 00:44:50,359
Speaker 1: and there's nothing you could do, Like you can't use

915
00:44:50,360 --> 00:44:52,840
Speaker 1: it as a research tool because it's just if the

916
00:44:53,120 --> 00:44:55,200
Speaker 1: if the information that you fed it is full of shit,

917
00:44:55,480 --> 00:44:59,080
Speaker 1: it's going to like tell you right lies and even

918
00:44:59,120 --> 00:45:00,640
Speaker 1: if it's not, like get.

919
00:45:00,520 --> 00:45:02,759
Speaker 2: The wrong conclusion, it might draw the wrong conclusion.

920
00:45:03,360 --> 00:45:06,000
Speaker 1: So the only thing it does is the thing that

921
00:45:06,239 --> 00:45:09,920
Speaker 1: is exciting about it when you first encounter it, which

922
00:45:10,000 --> 00:45:12,799
Speaker 1: is like, man, this sounds like it's a person who

923
00:45:12,840 --> 00:45:16,319
Speaker 1: has a personality, Like it seems like it really is

924
00:45:16,360 --> 00:45:19,759
Speaker 1: good at fooling you into thinking there's thought behind it,

925
00:45:20,239 --> 00:45:24,440
Speaker 1: and that's like I haven't heard anybody be like and

926
00:45:24,960 --> 00:45:27,080
Speaker 1: beyond that, here are the other things we know it

927
00:45:27,120 --> 00:45:29,200
Speaker 1: can do. Yeah, the main thing it seems to be

928
00:45:29,480 --> 00:45:32,880
Speaker 1: is just a really good it's like the mission impossible

929
00:45:32,960 --> 00:45:36,640
Speaker 1: mask for like information. It's like, yeah, you can't like

930
00:45:37,320 --> 00:45:41,680
Speaker 1: the lie. The disguises for lies on the Internet have

931
00:45:41,800 --> 00:45:44,640
Speaker 1: gone up like one hundred percent, and it's just gonna

932
00:45:44,640 --> 00:45:47,200
Speaker 1: be so much harder to tell bullshit from not bullshit.

933
00:45:47,560 --> 00:45:50,640
Speaker 2: Yeah, that's why I can only trust us Marcella, Jack

934
00:45:50,680 --> 00:45:51,280
Speaker 2: and Miles.

935
00:45:51,520 --> 00:45:58,160
Speaker 1: Yeah that's and we are not ai renderings of ourselves forever.

936
00:45:59,239 --> 00:46:04,319
Speaker 2: No MMJ medical marijuana. That's what it is. Also, you know, uh,

937
00:46:04,680 --> 00:46:07,239
Speaker 2: just I the more I just read about it, it

938
00:46:07,800 --> 00:46:09,839
Speaker 2: is like you really just do see this like fork

939
00:46:09,840 --> 00:46:12,120
Speaker 2: in the road, Like I see the applications in this

940
00:46:12,239 --> 00:46:15,080
Speaker 2: benign sense. I see it in the potential to like

941
00:46:15,320 --> 00:46:20,080
Speaker 2: you know, be are like the authors of creativity. But yeah,

942
00:46:20,160 --> 00:46:23,439
Speaker 2: it is I really didn't. I really missed the part

943
00:46:23,440 --> 00:46:27,760
Speaker 2: where how much like industry folks are getting so pumped

944
00:46:27,880 --> 00:46:31,520
Speaker 2: up about it and pouring money into it, when again,

945
00:46:31,560 --> 00:46:36,640
Speaker 2: it feels like another brilliant bit of manufactured storytelling on

946
00:46:36,680 --> 00:46:37,200
Speaker 2: some level.

947
00:46:37,800 --> 00:46:40,839
Speaker 3: Absolutely, Yeah, it seems like it's that thing too, where

948
00:46:40,840 --> 00:46:44,040
Speaker 3: it's like I've seen more negative than positive come out

949
00:46:44,080 --> 00:46:47,920
Speaker 3: of you know, the it's entire functionality, and that's what's fucked.

950
00:46:47,960 --> 00:46:50,640
Speaker 3: It's like, yeah, I guess it's cool to help people

951
00:46:50,680 --> 00:46:55,480
Speaker 3: write copy, but is assisting people write copy worth the

952
00:46:55,520 --> 00:46:58,160
Speaker 3: fucking lies that are being perpetuated? And it could be

953
00:46:58,239 --> 00:47:01,799
Speaker 3: used by the governments and fucking elections and all kinds

954
00:47:01,840 --> 00:47:03,920
Speaker 3: of funky ship Man, it's gonna be it's gonna be

955
00:47:03,960 --> 00:47:05,919
Speaker 3: wild ride for the next ten years. Yeah.

956
00:47:06,960 --> 00:47:10,400
Speaker 1: Yeah, And we're not ready, and we are not.

957
00:47:10,800 --> 00:47:11,439
Speaker 2: I'm out here.

958
00:47:12,120 --> 00:47:14,839
Speaker 3: Around the balanced people probably are more ready. They're ready.

959
00:47:14,840 --> 00:47:18,600
Speaker 2: They're break out here. I'm out here shattered at the

960
00:47:18,719 --> 00:47:27,480
Speaker 2: McDonald's drive through. Do you know about a I'm like, what,

961
00:47:30,560 --> 00:47:34,800
Speaker 2: they don't have the oreole pie anymore? That good? I

962
00:47:34,840 --> 00:47:36,440
Speaker 2: don't think you ever. I haven't had it. Looks a

963
00:47:36,480 --> 00:47:39,279
Speaker 2: little too intense, but all that to say, all it

964
00:47:39,320 --> 00:47:42,319
Speaker 2: takes is me to be high one night, and that's right,

965
00:47:42,520 --> 00:47:43,440
Speaker 2: Like you know where I'm at.

966
00:47:45,280 --> 00:47:49,200
Speaker 1: Yeah, all right, let's take another quick break and we'll

967
00:47:49,200 --> 00:47:49,880
Speaker 1: be back.

968
00:48:00,520 --> 00:48:03,560
Speaker 2: There. We're back yes, we are there.

969
00:48:03,600 --> 00:48:08,520
Speaker 1: It is Marcel always brings us back. Three I do

970
00:48:09,280 --> 00:48:10,720
Speaker 1: all right, Should we do a little good news?

971
00:48:11,360 --> 00:48:14,920
Speaker 3: No? Yeah, all right, yeah, come on, no, all right.

972
00:48:15,040 --> 00:48:18,799
Speaker 1: So I guess it's an answer taking outs two pieces

973
00:48:18,920 --> 00:48:23,080
Speaker 1: of good news. So one is that there's a new pill.

974
00:48:23,360 --> 00:48:26,600
Speaker 1: Scientists at the City of Hope Hospital have been developing

975
00:48:26,920 --> 00:48:30,040
Speaker 1: what could be called a Holy Grail molecule that could

976
00:48:30,040 --> 00:48:35,440
Speaker 1: effectively eradicate all solid cancer tumors while leaving healthy cells unaffected.

977
00:48:35,920 --> 00:48:38,640
Speaker 1: It's been in development for twenty years and targets a

978
00:48:38,719 --> 00:48:43,759
Speaker 1: cancerous variant of a protein called proliferating cell nuclear antigen,

979
00:48:44,120 --> 00:48:45,920
Speaker 1: which I did. You guys probably didn't need me to

980
00:48:45,920 --> 00:48:47,200
Speaker 1: tell you that, but yeah.

981
00:48:47,120 --> 00:48:49,040
Speaker 2: Now you did. But I don't know. I don't know

982
00:48:49,120 --> 00:48:53,480
Speaker 2: what that means. But okay, but fuck that thing. Yeah.

983
00:48:53,719 --> 00:48:58,359
Speaker 1: So one scientist described PCNA, which I think is the

984
00:48:59,160 --> 00:49:02,760
Speaker 1: proliferating nuclear Yeah. They described it as like a major

985
00:49:02,880 --> 00:49:07,280
Speaker 1: airline terminal hub containing multiple plane gates. And their cancer

986
00:49:07,400 --> 00:49:10,360
Speaker 1: killing pill is like a snowstorm that does a that

987
00:49:10,480 --> 00:49:14,360
Speaker 1: closes a key airline hub, shutting down all flights in

988
00:49:14,440 --> 00:49:19,560
Speaker 1: and out, so only in planes carrying cancer cells.

989
00:49:19,600 --> 00:49:22,200
Speaker 2: Oh so if it's doing the right thing, then it's like, Okay,

990
00:49:22,200 --> 00:49:25,600
Speaker 2: you're good. Yes, But then second was in here cancer

991
00:49:25,680 --> 00:49:26,920
Speaker 2: not fuck that, We're not going.

992
00:49:26,800 --> 00:49:29,400
Speaker 1: Anywhere, Yeah, which is wild because like so much of

993
00:49:29,440 --> 00:49:31,319
Speaker 1: cancer treatment is just like, I don't know, we just

994
00:49:31,360 --> 00:49:35,319
Speaker 1: like fix a laser beam on the general area that

995
00:49:35,400 --> 00:49:39,040
Speaker 1: it is, and like that whole area gets fucked right right. Yeah,

996
00:49:39,239 --> 00:49:41,840
Speaker 1: Like it's pretty harsh a lot of the time. So

997
00:49:41,880 --> 00:49:43,879
Speaker 1: the fact that this is as targeted as it is

998
00:49:44,040 --> 00:49:48,440
Speaker 1: and like intelligent at communicating on a at a cellular

999
00:49:48,520 --> 00:49:50,200
Speaker 1: level is pretty exciting.

1000
00:49:51,640 --> 00:49:54,279
Speaker 3: They tested on what types of people they tested it on,

1001
00:49:54,400 --> 00:49:57,000
Speaker 3: because you know, i'd imagine just like COVID and the

1002
00:49:57,200 --> 00:50:00,600
Speaker 3: and the vaccine, it's like it's gonna affect everybod differently.

1003
00:50:00,640 --> 00:50:02,920
Speaker 3: I hope that this ship works. My dad died of cancer,

1004
00:50:03,040 --> 00:50:05,800
Speaker 3: so I support anything that can help some people.

1005
00:50:05,960 --> 00:50:07,960
Speaker 2: You know, I've lost so many people, and yeah, last

1006
00:50:08,040 --> 00:50:11,600
Speaker 2: year to it, it's just yeah, it's it's so devastating,

1007
00:50:11,600 --> 00:50:14,160
Speaker 2: and it's like you, you're you're link for all the

1008
00:50:14,200 --> 00:50:15,200
Speaker 2: advancements we make.

1009
00:50:15,239 --> 00:50:15,279
Speaker 6: You.

1010
00:50:15,520 --> 00:50:19,080
Speaker 2: Yeah, can we find the way to eliminate that slow,

1011
00:50:19,280 --> 00:50:21,719
Speaker 2: painful death that so many of us have had to watch?

1012
00:50:21,760 --> 00:50:24,640
Speaker 3: That's what's so annoying when you hear the sentence you

1013
00:50:24,640 --> 00:50:27,359
Speaker 3: said earlier. Jack, it was like, you know, they've spent

1014
00:50:27,520 --> 00:50:30,359
Speaker 3: billions on AI research and that's just just making shit

1015
00:50:30,480 --> 00:50:33,200
Speaker 3: worse every day. And it's like, bro, you guys can

1016
00:50:33,280 --> 00:50:35,760
Speaker 3: invest in something that's going to save lives of people

1017
00:50:35,800 --> 00:50:38,319
Speaker 3: that are going to contribute to society in a positive way,

1018
00:50:38,400 --> 00:50:39,239
Speaker 3: or even.

1019
00:50:38,920 --> 00:50:41,520
Speaker 2: That's gonna that's going to affect the chemo industry. So

1020
00:50:41,840 --> 00:50:43,160
Speaker 2: I don't hope you want to get in the way.

1021
00:50:43,000 --> 00:50:44,200
Speaker 1: Of that exactly.

1022
00:50:44,280 --> 00:50:45,479
Speaker 3: Why would you want to do that.

1023
00:50:45,640 --> 00:50:48,320
Speaker 1: Right, And this is the best way to organize things.

1024
00:50:48,520 --> 00:50:50,760
Speaker 1: It's just on whatever is going to make the people

1025
00:50:51,040 --> 00:50:52,359
Speaker 1: at the top the most month.

1026
00:50:52,440 --> 00:50:55,560
Speaker 3: Yeah, it's like so annoying, Like you know, Beyonce, God

1027
00:50:55,600 --> 00:50:57,839
Speaker 3: bless her for spending one hundred thousand to keep keep

1028
00:50:57,880 --> 00:51:01,640
Speaker 3: the trains open, yeah in DC because like the weather

1029
00:51:01,760 --> 00:51:04,040
Speaker 3: delayed the concert and you want to make sure everyone

1030
00:51:04,040 --> 00:51:06,160
Speaker 3: got home safe, which was like very thoughtful. But it's like,

1031
00:51:06,800 --> 00:51:09,239
Speaker 3: can we just get some of these billionaires and rich

1032
00:51:09,280 --> 00:51:11,640
Speaker 3: people to like spend money on ship that's gonna like

1033
00:51:11,800 --> 00:51:16,440
Speaker 3: really just actually help society in an actual substantial way.

1034
00:51:16,480 --> 00:51:18,319
Speaker 3: It just it's just wild to me how rich people

1035
00:51:18,320 --> 00:51:19,040
Speaker 3: spend their money.

1036
00:51:19,640 --> 00:51:21,920
Speaker 2: Yeah. Well, and also just you can just almost picture

1037
00:51:22,040 --> 00:51:24,920
Speaker 2: like the way our like our society works. It's like

1038
00:51:25,000 --> 00:51:28,080
Speaker 2: shark tank. It's like sharks. I have an offer for you.

1039
00:51:28,160 --> 00:51:31,319
Speaker 2: I just need two million dollars in funding from my

1040
00:51:31,520 --> 00:51:34,640
Speaker 2: new breakthrough cancer drug. I've been researching for twenty years

1041
00:51:34,680 --> 00:51:36,160
Speaker 2: and it's just a little more investment.

1042
00:51:36,719 --> 00:51:38,920
Speaker 3: So what's the over under on that? Like that's how

1043
00:51:39,360 --> 00:51:41,440
Speaker 3: they're just like, well, I I don't like this idea,

1044
00:51:41,520 --> 00:51:41,919
Speaker 3: Like what.

1045
00:51:41,880 --> 00:51:45,439
Speaker 1: Is it is that I was messed with this chat

1046
00:51:45,440 --> 00:51:47,480
Speaker 1: GPT and I think she wants to fuck me?

1047
00:51:47,800 --> 00:51:52,640
Speaker 3: Oh when's the wedding?

1048
00:51:54,760 --> 00:51:57,200
Speaker 2: Okay, so then can your pill help with his wedding?

1049
00:51:57,640 --> 00:52:01,880
Speaker 2: For the hell matter? Oh my god, that's so fun. Yeah,

1050
00:52:01,920 --> 00:52:03,759
Speaker 2: Like and yeah, we're just sort of at these crossroads

1051
00:52:03,800 --> 00:52:05,799
Speaker 2: and it's like, yeah, let's pick the fucking the thing

1052
00:52:05,880 --> 00:52:08,520
Speaker 2: that we can and just underserve like a lot of

1053
00:52:08,520 --> 00:52:11,960
Speaker 2: our medical research. But hey, at least a good difference.

1054
00:52:11,960 --> 00:52:15,399
Speaker 2: Good to read these kinds of freaking developments because so.

1055
00:52:15,320 --> 00:52:18,520
Speaker 1: The initial results so far are only in cell and

1056
00:52:18,680 --> 00:52:21,400
Speaker 1: animal models, but the first phase of clinical trials and

1057
00:52:21,480 --> 00:52:24,319
Speaker 1: humans is now underway, so we will be keeping an

1058
00:52:24,360 --> 00:52:28,040
Speaker 1: eye on that. So there from a story that isn't

1059
00:52:28,080 --> 00:52:30,440
Speaker 1: being covered that much in the mainstream media to the

1060
00:52:30,440 --> 00:52:33,560
Speaker 1: one that's being covered way too much in the mainstream media.

1061
00:52:34,000 --> 00:52:34,800
Speaker 2: Shark attacks.

1062
00:52:35,040 --> 00:52:40,120
Speaker 1: Maybe the shark attack, Yeah, we do.

1063
00:52:40,400 --> 00:52:40,880
Speaker 2: We love it.

1064
00:52:40,960 --> 00:52:43,120
Speaker 1: We love a shark attack, don't we, folks. But this

1065
00:52:43,520 --> 00:52:45,800
Speaker 1: week it was reported that a man in Florida survived

1066
00:52:45,840 --> 00:52:48,080
Speaker 1: a rare shark attack and.

1067
00:52:48,120 --> 00:52:50,520
Speaker 3: Just shark was trying to eat his bootyhole or so, yeah,

1068
00:52:54,560 --> 00:52:56,000
Speaker 3: I'm sorry.

1069
00:52:55,880 --> 00:52:58,120
Speaker 1: I was trying to eat his ass. They're like that

1070
00:52:58,239 --> 00:53:00,080
Speaker 1: he was trying to eat your ass. No, but like

1071
00:53:00,800 --> 00:53:05,520
Speaker 1: for real in the biblical sense, No, it was. It

1072
00:53:05,560 --> 00:53:08,560
Speaker 1: was just like it was he was bitten on his

1073
00:53:08,719 --> 00:53:12,120
Speaker 1: lower leg and what authorities are calling a rare shark

1074
00:53:12,160 --> 00:53:15,080
Speaker 1: attack off the coast of Florida. But like, people are

1075
00:53:15,120 --> 00:53:19,080
Speaker 1: basically pointing out that the media is now just there

1076
00:53:19,560 --> 00:53:20,719
Speaker 1: the horny for.

1077
00:53:20,760 --> 00:53:21,840
Speaker 2: Shark attack stories.

1078
00:53:22,239 --> 00:53:25,960
Speaker 1: Yeah, they're just putting the word shark attack in a headline.

1079
00:53:26,719 --> 00:53:31,080
Speaker 2: Is going is money. It's just like they start hearing, Yeah.

1080
00:53:30,880 --> 00:53:33,840
Speaker 3: They're trying to keep people out of the boiling water

1081
00:53:34,000 --> 00:53:37,000
Speaker 3: that is the ocean now because it's the temperatures are

1082
00:53:37,080 --> 00:53:39,240
Speaker 3: rising in the ocean, and they're just like but also

1083
00:53:39,320 --> 00:53:41,000
Speaker 3: these shark attacks, So just don't get in the hot

1084
00:53:41,040 --> 00:53:45,680
Speaker 3: ass water and you won't notice that climate change is everywhere. Also,

1085
00:53:45,760 --> 00:53:48,640
Speaker 3: Ian Edwards has a really great bit about shark attacks.

1086
00:53:49,080 --> 00:53:51,840
Speaker 3: He's like, those aren't shark attacks. You guys are invading

1087
00:53:51,880 --> 00:53:54,319
Speaker 3: their homes, like they didn't attack you. You are in

1088
00:53:54,440 --> 00:53:55,359
Speaker 3: their house.

1089
00:53:55,280 --> 00:53:56,320
Speaker 2: Their home invasion.

1090
00:53:57,920 --> 00:53:59,520
Speaker 3: It's a great bit about that. Check it out.

1091
00:54:00,080 --> 00:54:02,719
Speaker 2: Actually a standard ground law type of situation. Yeah.

1092
00:54:02,920 --> 00:54:07,239
Speaker 1: And in Florida, yeah, yeah, report, but there's been like

1093
00:54:07,360 --> 00:54:11,440
Speaker 1: reports of the floor Floridian cocaine shark, which I remember

1094
00:54:11,600 --> 00:54:14,719
Speaker 1: that phrase being a thing. I don't remember anything about it.

1095
00:54:14,800 --> 00:54:17,919
Speaker 1: But the headline is junkie cocaine sharks are strung out

1096
00:54:17,960 --> 00:54:19,240
Speaker 1: and tweaked in Florida.

1097
00:54:19,800 --> 00:54:23,680
Speaker 2: Expert. You will be shocked to learn that that headline

1098
00:54:23,760 --> 00:54:24,840
Speaker 2: was in the New York Post.

1099
00:54:25,719 --> 00:54:28,600
Speaker 3: I love that they think sharks are junkies, Like yeah,

1100
00:54:28,640 --> 00:54:31,840
Speaker 3: oh my god, proof that the concept of junkie is

1101
00:54:31,840 --> 00:54:33,799
Speaker 3: like a man made perspective.

1102
00:54:34,040 --> 00:54:36,080
Speaker 2: Right, And also like and that and what does that mean?

1103
00:54:36,280 --> 00:54:38,600
Speaker 2: Like the shark is gonna go sell like his mother's

1104
00:54:38,680 --> 00:54:40,520
Speaker 2: VCR for fucking cash or.

1105
00:54:40,440 --> 00:54:43,640
Speaker 3: Some shit, let me suck your dick for some cocaine.

1106
00:54:45,080 --> 00:54:49,560
Speaker 1: That's where that rare attack came from. Yeah, this is

1107
00:54:49,600 --> 00:54:50,640
Speaker 1: a true headline.

1108
00:54:50,840 --> 00:54:53,919
Speaker 3: Wait, that's really funny though. It's rare because the shark

1109
00:54:54,000 --> 00:54:55,439
Speaker 3: was just like, hey man, hey man, I'm just trying

1110
00:54:55,480 --> 00:54:58,839
Speaker 3: to talk to you for a second. Man, I'm trying

1111
00:54:58,840 --> 00:54:59,680
Speaker 3: to get some cocaine.

1112
00:54:59,719 --> 00:55:00,160
Speaker 2: Man.

1113
00:55:00,040 --> 00:55:01,720
Speaker 3: And hey, when I saw you hanging out.

1114
00:55:01,520 --> 00:55:04,160
Speaker 2: Over there, hey boys.

1115
00:55:04,239 --> 00:55:07,719
Speaker 3: Yeah, that's why it's rare, because he's like, hey, you

1116
00:55:07,800 --> 00:55:10,880
Speaker 3: can not come here to you oh them boys?

1117
00:55:10,960 --> 00:55:13,719
Speaker 2: Oh okay, okay.

1118
00:55:14,400 --> 00:55:16,920
Speaker 1: There's also a headline from the New York Post, is

1119
00:55:17,000 --> 00:55:21,200
Speaker 1: your yum yum swimwear attracting hungry shark?

1120
00:55:21,680 --> 00:55:22,319
Speaker 3: Did pinky doll?

1121
00:55:22,400 --> 00:55:22,520
Speaker 2: Right?

1122
00:55:22,560 --> 00:55:23,440
Speaker 3: This fucking headline?

1123
00:55:23,760 --> 00:55:29,359
Speaker 2: Right? Like y shark? Allie, what's a yum? What's yum

1124
00:55:29,440 --> 00:55:30,680
Speaker 2: yum swim? Is that a brand?

1125
00:55:30,719 --> 00:55:33,560
Speaker 3: I thought that was a brand that they're yummy, that

1126
00:55:33,560 --> 00:55:36,879
Speaker 3: sharks want to taste your little, your nasty little.

1127
00:55:38,360 --> 00:55:41,759
Speaker 1: The content of the story is just like yellow might

1128
00:55:41,800 --> 00:55:45,120
Speaker 1: be a thing that attracts shark's attention, that's it.

1129
00:55:45,760 --> 00:55:49,080
Speaker 2: But who the fuck gave the term yum yum to

1130
00:55:49,200 --> 00:55:51,640
Speaker 2: this article by your post? I know, but it's it

1131
00:55:51,680 --> 00:55:53,680
Speaker 2: like some old man who's like, you know, there's kids

1132
00:55:53,719 --> 00:55:55,480
Speaker 2: are out there in their yum yum bathing.

1133
00:55:57,440 --> 00:55:59,200
Speaker 3: Put that in the yum look at the.

1134
00:56:01,040 --> 00:56:04,160
Speaker 2: It's like, it's confusing because I have no context to

1135
00:56:04,200 --> 00:56:10,600
Speaker 2: be like, what the fuck is a yum yum?

1136
00:56:10,800 --> 00:56:14,479
Speaker 1: Yeah, I think it's just all generated by the most

1137
00:56:14,480 --> 00:56:17,319
Speaker 1: headlines or the most clicks through, and a lot of

1138
00:56:17,360 --> 00:56:19,319
Speaker 1: times like the thing that gets the most clicks through

1139
00:56:19,360 --> 00:56:20,800
Speaker 1: are people being what the fuck?

1140
00:56:21,520 --> 00:56:24,120
Speaker 2: So what they mean is that the sense quote The

1141
00:56:24,160 --> 00:56:26,680
Speaker 2: apparent link between bright hues and shark bites has even

1142
00:56:26,719 --> 00:56:30,880
Speaker 2: prompted some to dub the color yum yum yellow. Okay,

1143
00:56:31,560 --> 00:56:33,080
Speaker 2: so well.

1144
00:56:32,960 --> 00:56:36,000
Speaker 3: That makes it less Yeah, that makes it actually perfectly

1145
00:56:36,040 --> 00:56:36,600
Speaker 3: makes sense.

1146
00:56:37,120 --> 00:56:39,319
Speaker 2: Yeah. But also I love like the reflex of the

1147
00:56:39,400 --> 00:56:43,040
Speaker 2: media to also like victim blame shark attack victims. Were

1148
00:56:43,040 --> 00:56:45,920
Speaker 2: they asking for it in that they wear? Was she

1149
00:56:46,040 --> 00:56:48,520
Speaker 2: wearing yeah, oh yum yum? Oh he was wearing a

1150
00:56:48,560 --> 00:56:50,480
Speaker 2: yum yum. Oh yeah, man, you're gonna lose your leg?

1151
00:56:50,760 --> 00:56:53,479
Speaker 3: Was a wearing when it asked me to kill my wife?

1152
00:56:53,560 --> 00:56:55,359
Speaker 3: Do you know what I mean? Like a question we.

1153
00:56:55,360 --> 00:57:03,680
Speaker 2: Have to ask for real fucking yum yum baby.

1154
00:57:04,680 --> 00:57:06,560
Speaker 1: So they're trying to get experts are trying to get

1155
00:57:06,640 --> 00:57:09,840
Speaker 1: rid of the phrase shark attack, because shark attacks are

1156
00:57:10,200 --> 00:57:14,880
Speaker 1: almost always actually provoked by humans, like humans either fucking

1157
00:57:14,920 --> 00:57:18,520
Speaker 1: with a shark or like you know, the shark accidentally

1158
00:57:18,760 --> 00:57:20,160
Speaker 1: biting and then being like, oh.

1159
00:57:20,880 --> 00:57:25,120
Speaker 3: It's like the Alabama brawl and how people are saying

1160
00:57:25,240 --> 00:57:27,920
Speaker 3: that it's a brawl as opposed to an attack on

1161
00:57:28,000 --> 00:57:31,320
Speaker 3: this fucking security guard, like that's the actual thing that happened.

1162
00:57:31,320 --> 00:57:33,640
Speaker 3: But because you know, like it's all media framing. It's

1163
00:57:33,720 --> 00:57:35,160
Speaker 3: crazy how media frames shit.

1164
00:57:35,840 --> 00:57:39,120
Speaker 2: Yeah, because like even with like they talk about with

1165
00:57:39,200 --> 00:57:44,120
Speaker 2: climate change too, like that's bringing sharkers, sharkers, sharks closer

1166
00:57:44,160 --> 00:57:47,480
Speaker 2: to the shore, like as like they're the sort of

1167
00:57:47,520 --> 00:57:50,080
Speaker 2: like the sea temperature changes too. So it's like it's

1168
00:57:50,120 --> 00:57:52,920
Speaker 2: all come on now, they're not they're not out here scheming.

1169
00:57:53,520 --> 00:57:56,160
Speaker 2: It's more just so shit is fucking changing out there

1170
00:57:56,160 --> 00:57:57,760
Speaker 2: and we need to accept that. Yeah.

1171
00:57:58,200 --> 00:58:02,720
Speaker 1: It's like they put some protections in place because shark

1172
00:58:02,800 --> 00:58:06,520
Speaker 1: populations have been decimated by industrial fishing, and so they

1173
00:58:06,520 --> 00:58:08,920
Speaker 1: put some protections for the sharks. So this is actually

1174
00:58:09,000 --> 00:58:12,040
Speaker 1: just a sign of like a healthy ecosystem, and people

1175
00:58:12,120 --> 00:58:17,320
Speaker 1: are like, fuck no, get out of the water. Yeah,

1176
00:58:17,360 --> 00:58:19,480
Speaker 1: they're gonna fucking wreck my shit. I'm just trying to

1177
00:58:19,480 --> 00:58:21,520
Speaker 1: wear my young, young bathing suit and be on my

1178
00:58:21,560 --> 00:58:22,800
Speaker 1: paddle board doing yoga.

1179
00:58:23,160 --> 00:58:26,600
Speaker 3: Yeah, I'm surprised white dudes in Florida haven't started like

1180
00:58:26,800 --> 00:58:29,480
Speaker 3: trying to hunt christ Yeah.

1181
00:58:29,520 --> 00:58:31,360
Speaker 1: Oh they did, right, I mean that's the thing. So

1182
00:58:31,400 --> 00:58:35,760
Speaker 1: that's the thing, like the severe human cause decline of

1183
00:58:35,840 --> 00:58:38,520
Speaker 1: shark populations just doesn't get covered.

1184
00:58:38,800 --> 00:58:41,680
Speaker 2: And I did just that. Oh yeah yeah, Like.

1185
00:58:41,640 --> 00:58:44,480
Speaker 1: They've been like since Jaws, right, like since the Jaws

1186
00:58:44,560 --> 00:58:47,880
Speaker 1: like caused a huge uptate. Really just going after and

1187
00:58:47,960 --> 00:58:48,520
Speaker 1: killing sharks.

1188
00:58:48,560 --> 00:58:49,600
Speaker 3: Yeah, that's wild.

1189
00:58:50,240 --> 00:58:52,840
Speaker 2: Yeah, just let them cook, man, Just just stay the

1190
00:58:52,840 --> 00:58:54,160
Speaker 2: fuck out there, fucking spot.

1191
00:58:54,320 --> 00:58:56,760
Speaker 3: That's all people are the losers.

1192
00:58:57,120 --> 00:58:59,440
Speaker 2: Yeah, well, I mean, nothing will make you feel stronger

1193
00:58:59,480 --> 00:59:02,240
Speaker 2: than are pointing a baby shark in the dome and

1194
00:59:02,480 --> 00:59:04,200
Speaker 2: there you fuck take that, man.

1195
00:59:05,280 --> 00:59:09,240
Speaker 1: But seventeen poll found that sharks are forty first on

1196
00:59:09,280 --> 00:59:12,439
Speaker 1: a list of Americans fears, despite the facts the fact

1197
00:59:12,480 --> 00:59:16,480
Speaker 1: that sharks are statistically less lethal than being careless while

1198
00:59:16,520 --> 00:59:19,240
Speaker 1: taking a selfie like there, it's one of those things.

1199
00:59:19,280 --> 00:59:22,000
Speaker 1: It's like you are statistic like like winning the lottery.

1200
00:59:22,040 --> 00:59:26,560
Speaker 1: It's like your chances are statistically zero, Like you're not

1201
00:59:26,920 --> 00:59:28,080
Speaker 1: going it's not gonna happen.

1202
00:59:28,240 --> 00:59:29,640
Speaker 3: Are you gas lighting me right now?

1203
00:59:30,520 --> 00:59:30,880
Speaker 2: It's not.

1204
00:59:31,320 --> 00:59:33,800
Speaker 1: It's not gonna happen. So just go on the water

1205
00:59:33,960 --> 00:59:37,800
Speaker 1: and you're young, young yellow get out there, just have

1206
00:59:37,800 --> 00:59:39,080
Speaker 1: their time splash about.

1207
00:59:39,200 --> 00:59:41,720
Speaker 2: Got that yumyam. Yeah.

1208
00:59:41,840 --> 00:59:44,240
Speaker 1: And then they also point to Shark Week as being like, not,

1209
00:59:44,680 --> 00:59:51,600
Speaker 1: it's just full of misinformation and on both sides, Yeah, well.

1210
00:59:51,680 --> 00:59:52,720
Speaker 2: This one is.

1211
00:59:53,680 --> 00:59:58,000
Speaker 1: So. They had aquaman Jason Momoa that's hosting Shark Week

1212
00:59:58,040 --> 01:00:01,400
Speaker 1: this this year, and and he promoted his appearance with

1213
01:00:01,440 --> 01:00:04,000
Speaker 1: an ad in which he controls the ocean's sharks like

1214
01:00:04,040 --> 01:00:08,640
Speaker 1: a symphonic conductor. D But experts are like Shark Week

1215
01:00:08,800 --> 01:00:12,600
Speaker 1: is like a huge source of misinformation and nonsense about

1216
01:00:12,640 --> 01:00:16,880
Speaker 1: sharks that sometimes glorifies what the sort of wildlife harassment

1217
01:00:16,960 --> 01:00:19,440
Speaker 1: that will get a shark to bite.

1218
01:00:19,280 --> 01:00:24,120
Speaker 3: You, you know, natural selection.

1219
01:00:27,040 --> 01:00:30,919
Speaker 1: Marcella as always, such a pleasure having you on the daily.

1220
01:00:31,640 --> 01:00:34,000
Speaker 3: Yeah, I need more energy from you, Jack.

1221
01:00:34,840 --> 01:00:39,160
Speaker 1: Okay, Marcella, what a pleasure having you on the dail side.

1222
01:00:39,200 --> 01:00:41,560
Speaker 2: Guys, holy shit.

1223
01:00:42,760 --> 01:00:45,560
Speaker 3: Please leave both of those versions in. Thank you so much.

1224
01:00:46,160 --> 01:00:48,240
Speaker 3: It was so great to be here. People can find

1225
01:00:48,240 --> 01:00:51,640
Speaker 3: me at Marcellacomedy dot com across all social media on

1226
01:00:51,680 --> 01:00:55,360
Speaker 3: Marcella Comedy. Also, I was hoping, I totally forgot. I

1227
01:00:55,400 --> 01:00:58,160
Speaker 3: wanted to promote my show tonight because tonight I'm doing

1228
01:00:58,200 --> 01:01:00,200
Speaker 3: Women Crush Wednesday, is my show that you to be

1229
01:01:00,240 --> 01:01:01,960
Speaker 3: weekly that turned in the monthly. We're doing at the

1230
01:01:02,000 --> 01:01:05,480
Speaker 3: Ford Theater here in Los Angeles tonight, and I'm very

1231
01:01:05,480 --> 01:01:08,720
Speaker 3: excited because it's a fucking beautiful amphitheater and it's and

1232
01:01:08,760 --> 01:01:11,840
Speaker 3: we have an incredible lineup special guys. We have our

1233
01:01:11,840 --> 01:01:14,880
Speaker 3: first drag queen meatball who if I don't know if

1234
01:01:14,880 --> 01:01:18,000
Speaker 3: you know did the George Santos drag queen performance that

1235
01:01:18,040 --> 01:01:20,640
Speaker 3: went viral. But yeah, it's gonna be a fucking amazing show.

1236
01:01:20,680 --> 01:01:22,840
Speaker 3: So please come out tonight. Use the code Women for

1237
01:01:23,400 --> 01:01:26,240
Speaker 3: twenty percent discount. Come on, La, come see me host

1238
01:01:26,320 --> 01:01:29,400
Speaker 3: my favorite show and my best element. If you like

1239
01:01:29,800 --> 01:01:33,800
Speaker 3: me shitting on Jack O'Brien, just wait till I fucking

1240
01:01:33,960 --> 01:01:35,080
Speaker 3: manhandle that audience.

1241
01:01:35,960 --> 01:01:37,720
Speaker 1: I thought you're gonna say most of your material was

1242
01:01:37,800 --> 01:01:38,520
Speaker 1: just shitting on me.

1243
01:01:39,000 --> 01:01:41,280
Speaker 3: It could be if you show up. I love the

1244
01:01:41,640 --> 01:01:42,640
Speaker 3: TV zers so.

1245
01:01:42,800 --> 01:01:47,760
Speaker 2: Like all them out Jack album, fuck track, this guy

1246
01:01:48,720 --> 01:01:51,840
Speaker 2: amazing And is there a work of media that you've

1247
01:01:51,840 --> 01:01:52,440
Speaker 2: been enjoying.

1248
01:01:53,080 --> 01:01:55,680
Speaker 3: Is there a work of media just literally everything about

1249
01:01:55,720 --> 01:01:59,760
Speaker 3: the Montgomery, Alabama doc fight. That shit I cannot get

1250
01:01:59,800 --> 01:02:03,840
Speaker 3: an There is just so many tweets that I really

1251
01:02:03,840 --> 01:02:07,800
Speaker 3: can't even go on one, Like they're all so good,

1252
01:02:07,920 --> 01:02:10,520
Speaker 3: Like they're doing all these like art renderings, like classic

1253
01:02:10,560 --> 01:02:14,240
Speaker 3: black art, and they're putting folding chairs in them, and like, man,

1254
01:02:14,360 --> 01:02:19,040
Speaker 3: it's so beautiful. It's so funny. The Miles earlier, I'm sorry,

1255
01:02:19,120 --> 01:02:23,320
Speaker 3: Miles had mentioned the reenactments, like there's no there's no

1256
01:02:23,560 --> 01:02:26,360
Speaker 3: version of it that isn't hilarious, and he's there's no

1257
01:02:26,480 --> 01:02:28,640
Speaker 3: one thing that's funnier than anything else. It's just like

1258
01:02:28,720 --> 01:02:31,680
Speaker 3: all mind blowingly funny. So definitely, Jack, I'm telling you, bro,

1259
01:02:32,520 --> 01:02:35,160
Speaker 3: make sure you also consume all that bullshit because it's

1260
01:02:35,200 --> 01:02:37,120
Speaker 3: so funny.

1261
01:02:36,920 --> 01:02:39,280
Speaker 1: And I will, I will have consumed it by the

1262
01:02:39,320 --> 01:02:43,920
Speaker 1: time they hear Yesterday's trending. So yeah, exactly, you'll be

1263
01:02:43,960 --> 01:02:48,120
Speaker 1: ready amazing. Well, Miles, where can people find you? And

1264
01:02:48,240 --> 01:02:50,960
Speaker 1: is there a work media that you've been enjoying?

1265
01:02:51,920 --> 01:02:56,040
Speaker 2: Twitter, Instagram, all them places at Miles of Gray, find

1266
01:02:56,200 --> 01:02:58,760
Speaker 2: us on our basketball podcast, Miles and Jack on my Boosties.

1267
01:02:58,760 --> 01:03:00,920
Speaker 2: You can find me on my ninety eight Yonce podcast

1268
01:03:00,960 --> 01:03:04,160
Speaker 2: was Sophia Alexandra for twenty Day Fiance And if you

1269
01:03:04,360 --> 01:03:06,760
Speaker 2: like true crime, we're hearing about people who like to

1270
01:03:07,080 --> 01:03:09,680
Speaker 2: kidnap and rob millionaires and give to the poor. We'll

1271
01:03:09,760 --> 01:03:12,240
Speaker 2: check out my latest podcast called The Good Thief about

1272
01:03:12,280 --> 01:03:15,040
Speaker 2: the Greek robin hood who was actually doing that shit

1273
01:03:15,160 --> 01:03:18,240
Speaker 2: in the nineties. Uh So, yeah, those are all the

1274
01:03:18,240 --> 01:03:21,880
Speaker 2: main place you can find me. Terms of media, don't

1275
01:03:21,920 --> 01:03:27,080
Speaker 2: really have anything specific, but yeah, just I've been watching

1276
01:03:27,080 --> 01:03:31,840
Speaker 2: a lot of boat content, to be honest. So the

1277
01:03:31,920 --> 01:03:34,360
Speaker 2: kid who jumped in the water was sixty sixteen year old.

1278
01:03:34,440 --> 01:03:35,440
Speaker 3: Sixteen year olds.

1279
01:03:35,240 --> 01:03:37,320
Speaker 2: Found out, Yeah, he was a coworker.

1280
01:03:37,360 --> 01:03:39,400
Speaker 3: He was pulling up for that was their thing that

1281
01:03:39,520 --> 01:03:42,840
Speaker 3: someone had tweeted something like, man, that kid swam whatever

1282
01:03:42,880 --> 01:03:46,840
Speaker 3: however long it was, and then pulled himself out. Yeah

1283
01:03:46,840 --> 01:03:49,880
Speaker 3: and whoop fully wet clothes, fully wet clothes. So he

1284
01:03:49,960 --> 01:03:53,200
Speaker 3: was heavy as fuck and whooped ass. And somebody was like, ah,

1285
01:03:53,320 --> 01:03:55,880
Speaker 3: to have the energy of being sixteen again. Like there's

1286
01:03:56,000 --> 01:04:00,400
Speaker 3: so many takes that are just so worth and joy like,

1287
01:04:00,480 --> 01:04:03,000
Speaker 3: oh man, great Jack, where do people find you? And

1288
01:04:03,040 --> 01:04:04,960
Speaker 3: is there a piece of media that you've been enjoying.

1289
01:04:04,960 --> 01:04:07,440
Speaker 1: Oh I got thank you so much for asking. You

1290
01:04:07,480 --> 01:04:10,640
Speaker 1: can find me on Twitter at Jack Underscore, O'Brian on

1291
01:04:10,840 --> 01:04:14,200
Speaker 1: threads at Jack Underscore, Oh underscore Brian? Are people still

1292
01:04:14,200 --> 01:04:15,800
Speaker 1: on threads?

1293
01:04:16,080 --> 01:04:17,919
Speaker 2: I mean, I'm there, I'll look at.

1294
01:04:17,840 --> 01:04:19,640
Speaker 3: It, but yeah, I look at it too, but man,

1295
01:04:19,680 --> 01:04:19,920
Speaker 3: I'm not.

1296
01:04:19,960 --> 01:04:22,000
Speaker 2: Did they say like half the people have fallen off

1297
01:04:22,040 --> 01:04:24,160
Speaker 2: though who have signed up? Which makes sense and I

1298
01:04:24,160 --> 01:04:26,120
Speaker 2: don't think half the motherfuckers were even using it when

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01:04:26,120 --> 01:04:27,360
Speaker 2: they signed up anyway.

1300
01:04:28,320 --> 01:04:32,480
Speaker 1: Yeah, tweet I've been enjoying. And this actually was the

1301
01:04:32,520 --> 01:04:36,040
Speaker 1: tweet that I had was Marcella's tweet about the guy

1302
01:04:36,080 --> 01:04:39,720
Speaker 1: who invented the wheelchair that I talked about earlier.

1303
01:04:40,800 --> 01:04:44,360
Speaker 2: That was my number one for the day. Here, let

1304
01:04:44,400 --> 01:04:45,720
Speaker 2: me actually find it.

1305
01:04:45,800 --> 01:04:48,439
Speaker 3: I appreciate that guy. You're obsessed with me? Why you're

1306
01:04:48,520 --> 01:04:49,800
Speaker 3: so obsessed with me?

1307
01:04:50,280 --> 01:04:52,960
Speaker 2: You're so obsessed with leave me alone? There you go.

1308
01:04:53,120 --> 01:04:55,760
Speaker 3: Why you're the one that wants me to kill your wife?

1309
01:04:56,000 --> 01:05:05,200
Speaker 3: After you told me that's true? I love Jack. Jack

1310
01:05:05,280 --> 01:05:08,080
Speaker 3: finally looks me in the eyes over these zooms like, man,

1311
01:05:09,000 --> 01:05:10,040
Speaker 3: daily guys.

1312
01:05:10,680 --> 01:05:12,560
Speaker 2: Way, you gotta you gotta break them, you.

1313
01:05:12,520 --> 01:05:14,480
Speaker 3: Know, Hey, man, I remember we used to go in

1314
01:05:14,480 --> 01:05:17,040
Speaker 3: there into the studio and I couldn't even get Jack

1315
01:05:17,080 --> 01:05:19,160
Speaker 3: to look at me, and I'd be like that, what

1316
01:05:19,360 --> 01:05:22,000
Speaker 3: the fuck? And then I now here we are? He

1317
01:05:22,240 --> 01:05:23,000
Speaker 3: just look at me.

1318
01:05:23,560 --> 01:05:27,640
Speaker 2: On the episode deep eye context.

1319
01:05:27,200 --> 01:05:31,640
Speaker 1: Deep deep deep I contact the tweet I've been enjoying

1320
01:05:31,760 --> 01:05:35,560
Speaker 1: from Marcel arc Wayo. Damn whoever invented the wheelchair oneted

1321
01:05:35,600 --> 01:05:38,840
Speaker 1: pussy is so bad? There it is. You can find

1322
01:05:39,160 --> 01:05:41,280
Speaker 1: us on Twitter at daily Zeit. Guys, we're at the

1323
01:05:41,400 --> 01:05:44,680
Speaker 1: Daily Zeikegeist on Instagram. We have a Facebook champage and

1324
01:05:44,680 --> 01:05:47,960
Speaker 1: a website daily zeikeist dot com. Orry post our episodes

1325
01:05:48,080 --> 01:05:50,640
Speaker 1: and our footnote. No, we're gonna go for the information

1326
01:05:50,720 --> 01:05:52,680
Speaker 1: that we talked about in today's episode, as well as

1327
01:05:52,720 --> 01:05:55,440
Speaker 1: a song that we think you might enjoy, Miles, is

1328
01:05:55,520 --> 01:05:58,480
Speaker 1: there a song that you think people might enjoy?

1329
01:05:58,720 --> 01:05:58,880
Speaker 5: Oh?

1330
01:05:59,000 --> 01:05:59,200
Speaker 3: Yeah.

1331
01:05:59,320 --> 01:06:02,840
Speaker 2: This is a artist called ra Hill who's an Iranian

1332
01:06:02,840 --> 01:06:06,320
Speaker 2: American artist, DJ kind of producer. The track is called

1333
01:06:06,400 --> 01:06:08,840
Speaker 2: tell Me You Spell It R A H I L

1334
01:06:09,000 --> 01:06:11,640
Speaker 2: L Rahel and it's just like dope. I don't know, man,

1335
01:06:11,840 --> 01:06:14,040
Speaker 2: she's a very slight I don't know. It's like a

1336
01:06:14,240 --> 01:06:18,600
Speaker 2: multi genre kind of instrumental, just really good, good music.

1337
01:06:18,680 --> 01:06:20,600
Speaker 2: It's like, it's fun when you hear people making new

1338
01:06:20,640 --> 01:06:22,920
Speaker 2: shit that sounds kind of new. But yeah, this is

1339
01:06:23,040 --> 01:06:25,600
Speaker 2: Ray Hill with tell me all right. We will link

1340
01:06:25,640 --> 01:06:26,720
Speaker 2: off to that in the footnotes.

1341
01:06:26,720 --> 01:06:29,000
Speaker 1: The Daily Geis is a production of iHeartRadio. For more

1342
01:06:29,000 --> 01:06:31,080
Speaker 1: podcasts from My Heart Radio, visit the iHeart Radio ap

1343
01:06:31,200 --> 01:06:33,840
Speaker 1: Apple podcast or wherever you listen to your favorite shows.

1344
01:06:34,080 --> 01:06:35,600
Speaker 1: That's gonna do it for us this morning, but we

1345
01:06:35,720 --> 01:06:37,880
Speaker 1: are back this afternoon to tell you what is trending

1346
01:06:38,040 --> 01:06:39,240
Speaker 1: and we'll talk to you all then.

1347
01:06:39,360 --> 01:06:40,080
Speaker 2: Bye bye,