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Speaker 1: Worning today's episode, it doesn't really contain spoilers.

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Speaker 2: This is x RGC.

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Speaker 1: Hello, my name is Jasoncepcio and I'm Rosie Knight, and

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Speaker 1: welcome to x RGC, our weekly roundtable group chat with

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Speaker 1: our producers and or special guests talk about all the

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Speaker 1: things that we are excited about watching accent.

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Speaker 3: Yes, in today's episode, it's getting business y and the

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Speaker 3: g r C we are the busy Menie uh, We're

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Speaker 3: gonna be talking about the Emmys with Joel. The Creative

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Speaker 3: Emmys have happened. The real Emmys, as people may say,

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Speaker 3: the main primetime Emmys are coming up. Shot me, cut me,

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Speaker 3: cut me, cut me, guys. I will probably maybe win

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Speaker 3: a Primetime Emmy one day. Sorry guys, Warner Bros. Versus AI. Finally,

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Speaker 3: Aboo will be joining us for that summer streaming wraps.

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Speaker 3: Joel will be back, and Common will be joining us,

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Speaker 3: and then of course we will end with thank Galactus.

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Speaker 3: It's Friday. Everyone will share what they're most excited to

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Speaker 3: do this weekend.

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Speaker 1: But first let's welcome super bruder Joel to talk about

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Speaker 1: the entertainment, the busy meeses, Heymmys, which are coming up

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Speaker 1: in a few days recording this on Wednesday. The Emmys

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Speaker 1: will grace your TV screens this weekend, and let's talk

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Speaker 1: about the Emmys mainly. Does anybody care the Emmys relevant?

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Speaker 4: Does anybody care?

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Speaker 5: What's up with the Joel? What's up with the Emmy? Yeah?

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Speaker 5: Let me give you my standard shpiel on award ceremony.

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Speaker 6: I went went on NPR, I got my asstituded out

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Speaker 6: for my thoughts on this, but I'll show you them here.

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Speaker 6: I think award ceremonies are really important, but not for

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Speaker 6: any industry reason.

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Speaker 5: I don't think. I think it matters on two fronts.

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Speaker 6: When it matters if you are at all interested in

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Speaker 6: entering this industry and you have no idea where to start.

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Speaker 6: I feel like my whole film education started because of

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Speaker 6: the Oscars. It gave me just a starting point. It

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Speaker 6: is not the end all be all of an education. Frequently,

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Speaker 6: there's a lot of reasons why people get nominated. There's

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Speaker 6: a lot of films that get dismissed and overlooked, but

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Speaker 6: it is a great place to start in education, and

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Speaker 6: so I think that's important. And then I also think

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Speaker 6: they're important because, especially for your fringe actors, that's your

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Speaker 6: actors of color, your openly queer actors, etc. If you

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Speaker 6: secure one of these, it can be extremely helpful in

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Speaker 6: making sure that you get better profit margins.

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Speaker 5: Not always.

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Speaker 6: We all know Halle Berry really struggled after winning her Oscar.

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Speaker 3: Yeah, there is an Oscar curse.

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Speaker 6: But on occasion, these things can happen, and I think

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Speaker 6: that's really beautiful. I also think, just from a communal perspective,

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Speaker 6: it is like Listen Awards started as a way to

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Speaker 6: like sort of diminish union power, which blows.

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Speaker 5: But also when you come together as.

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Speaker 6: A community and you get to celebrate each other's works

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Speaker 6: and stuff, I think that.

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Speaker 5: Could be really great.

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Speaker 6: I don't believe in a best of strategy for a

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Speaker 6: wife so many awards thoughts. I think best of is stupid.

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Speaker 6: I think you should do superlatives. I just wish every

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Speaker 6: year we'd be like most inventive, craziest use of blood,

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Speaker 6: like just can't make it.

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Speaker 7: Yeah.

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Speaker 2: Also, like that's where.

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Speaker 3: Those kind of great you know, ensembles can come in

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Speaker 3: as well, Like if you do that because okay, so Joelle.

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Speaker 3: For people who don't understand or aren't aware, there are

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Speaker 3: actually two emmy yes, oh like award shows, right, and

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Speaker 3: we just had our first one, which was the Primetime

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Speaker 3: and Creative Arts Emmy winners, and that I think was

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Speaker 3: maybe surprising to some people because, for example, they revealed

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Speaker 3: the Outstanding Guest Stars, even though some of those were

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Speaker 3: some of the bigger name hits. So we had Merit

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Speaker 3: Weaver who won for Severance. We had oh Sean Hatosi,

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Speaker 3: who if you love Zero's Horror or nineties horror like

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Speaker 3: the Faculty, you will know as Sean from the Faculty.

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Speaker 3: He was in the Pit. He won Outstanding Guest Actor

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Speaker 3: in a Drama Series, And most notably and most talked

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Speaker 3: about was Brian Cranston winning Outstanding Guest Actor in a

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Speaker 3: Comedy Series for the Studio. I believe the Studio won

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Speaker 3: nine Emmys at the Creative Arts and Primetime Emmy. So

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Speaker 3: could you talk a little bit about the difference between

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Speaker 3: those and what people could expect to see when they

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Speaker 3: watch the Emmys that will get televised compared to these Emmys,

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Speaker 3: which include such things as like Best Made for TV Movie,

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Speaker 3: which rebull Ridge run, which I thought was really interesting.

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Speaker 2: Yeah.

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Speaker 6: So Jason, the guy currently holding his Emmy, it's very

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Speaker 6: interesting to be here, winner.

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Speaker 4: Well, I wanted to say that one thing.

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Speaker 1: I semi agree, and I do understand why I am

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Speaker 1: pr roasted you a little bit about your take it,

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Speaker 1: but I don't disagree. I don't fully disagree, but I

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Speaker 1: will say this when I was up for when I

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Speaker 1: was nominated for the Sports Emmy, so let me just

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Speaker 1: be clear.

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Speaker 2: It's a Sports Emmy, which is the.

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Speaker 1: Potentially the easiest one to win. When I was up

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Speaker 1: for the Sports Emmy for me and my co creator

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Speaker 1: Jason Gallagher for NBA Desktop, we got some really good

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Speaker 1: advice from you know, a producer who has produced a

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Speaker 1: lot of stuff, and he was like, you know, we

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Speaker 1: were like, this is fun, but like what is it?

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Speaker 1: Does it really matter? Like is it really a big deal?

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Speaker 1: And he said, listen, here's the thing about the Emmy

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Speaker 1: is being nominated or winning. Once you're there on that

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Speaker 1: level of you're getting nominated for stuff or you win,

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Speaker 1: you immediately in the eyes of quote unquote the industry.

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Speaker 1: And this is why I do think it is important

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Speaker 1: become a real person, like a real figure within the

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Speaker 1: industry because now in all of your bio stuff, in

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Speaker 1: the first paragraph, it's gonna say Emmy winner, blah, blah blah, and.

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Speaker 4: It's kind of a fake thing.

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Speaker 1: It's kind of it's obviously like a form of inter

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Speaker 1: industry marketing and a very self congratulatory type of dynamic,

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Speaker 1: but it's also true like after that you end up

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Speaker 1: getting meetings because you're Emmy winner blah blah blah. And yeah,

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Speaker 1: when you say that in a meeting, suddenly it feels

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Speaker 1: like it really helps bolster your feelings of like imposter syndrome,

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Speaker 1: because now you've got this thing that says, oh, you

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Speaker 1: did a thing that people react is an actual thing.

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Speaker 5: Yeah, because you have, in order to.

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Speaker 6: Get nominated, like enough people, because the voting pool for

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Speaker 6: the Emmys is gargantulan, so like enough people have to

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Speaker 6: like have seen your stuff, liked it enough, known a

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Speaker 6: little bit about you, and then you have to win

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Speaker 6: the overall. Like it's a lot of efforts eat just

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Speaker 6: to get nominated, I think. And so yeah, I can

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Speaker 6: imagine that that sticks with you. It'll be like the

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Speaker 6: first thing in your obituary, Like it's a huge thing.

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Speaker 6: I also think, you know, there's something kind of interesting

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Speaker 6: to me about nominations. So I wanted to ask you guys,

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Speaker 6: with the studio being number one this year and projected

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Speaker 6: to be number one overall by the end of Sunday Night.

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Speaker 6: Every time there's a show about making movies or television,

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Speaker 6: people have very strong feelings about whether it's appropriate to

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Speaker 6: be Is this just Hollywood's joking itself?

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Speaker 5: Is this?

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Speaker 6: I think it's a really well made show and super funny,

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Speaker 6: and I liked it, But I was curious what your guys'

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Speaker 6: thoughts are on shows movies that talk about the industry

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Speaker 6: and then are celebrated.

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Speaker 3: I think that the reality is that that is like,

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Speaker 3: you know, coming out in LA and being like, why

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Speaker 3: is it sunny? Like that Shit's always gonna happen, like

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Speaker 3: it's happened throughout history in every single award ceremony. The

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Speaker 3: Oscars loves a movie. Think about the ARTI the artist,

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Speaker 3: you know, movies that take over. I think the bigger

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Speaker 3: issue is and I love the studio. I actually think, honestly,

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Speaker 3: I think it deserves all the accolades because I just

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Speaker 3: think it was so well done. Technically, it's hilarious if

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Speaker 3: you live here. It is a very in the in

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Speaker 3: the kind of weeds and inside baseball of everyday life

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Speaker 3: in LA. But the issue I have with those kind

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Speaker 3: of nominations, is they only ever really center on one

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Speaker 3: group of people, which is white people? Because when Dolomite

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Speaker 3: is My Name was made, which was.

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Speaker 6: You know, this is my biggest platform scream ever. I'm like,

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Speaker 6: this is an excellent, nearly perfect film that nobody talked about.

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Speaker 3: Unbelievable comeback performance by Eddie Murphy in a dramatic role, Charlie.

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Speaker 5: Class role, I think, or the movie's dedicated to charge.

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Speaker 3: Yeah, so beautiful. Also like one of the most beautifully

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Speaker 3: put together costuming departments by Ruth Katta, Like that movie

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Speaker 3: was filmed in guardian A cinema. That movie is about

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Speaker 3: a true rebel and weirdo in Hollywood, And if that

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Speaker 3: mill had been about white Hollywood, then it probably would

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Speaker 3: have gotten nomb And I think that is one of

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Speaker 3: the biggest snubs that, unfortunately for me, makes it like

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Speaker 3: that's when I start having an issue with the inside Hollywood.

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Speaker 6: Like we got really great like young new actors, returns

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Speaker 6: of old actors.

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Speaker 5: It's crazy.

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Speaker 6: So yes, I totally take your point. I just really

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Speaker 6: wanted to quickly also talk about our close calls and

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Speaker 6: see where you.

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Speaker 5: Guys are landing ones.

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Speaker 6: Okay, So Variety put together a list of their closest.

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Speaker 5: Calls, and this is what they came up with.

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Speaker 6: They said the most difficult races to predict are leading

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Speaker 6: acting categories for limited series, which are coin floats between

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Speaker 6: Colin Farrell for The Penguin and Stephen Graham for adolescence,

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Speaker 6: and then for the women Michelle Williams for Dying for

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Speaker 6: Sex and Christi Malatti for The Penguin. Between those two,

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Speaker 6: where do you think the Academy's gonna land?

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Speaker 5: And where would you land?

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Speaker 3: I think the Academy is probably I love Michelle Williams,

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Speaker 3: She's great and everything. If they're going to pick between

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Speaker 3: a genre show that is based on comic books or

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Speaker 3: something that's based on a book about a woman who's

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Speaker 3: dying of cancer, they are going to probably choose a

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Speaker 3: woman who's dying of cancer. I don't think that Milotti

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Speaker 3: is going to get it for killing a bunch of

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Speaker 3: people in a beautiful, beautiful ball gown, but I would

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Speaker 3: love to see that. Malotti is my pit. But I

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Speaker 3: think Michelle Williams is probably going to get it.

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Speaker 1: I think that's probably right for the very obvious reasons.

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Speaker 1: And I think similarly, but deservedly. Stephen Graham is going to.

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Speaker 2: Win for adolescents.

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Speaker 3: Yeah, he will, he.

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Speaker 1: Will, and I think and I think, by the way, that's.

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Speaker 2: Deserved because he's unbelievable.

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Speaker 1: It's not just uh, you know, in the thing, but

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Speaker 1: he is the creator of the of the series and

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Speaker 1: it was probably one of the most emotionally harrowing. Yeah,

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Speaker 1: and also talked about and important you know, underline piece

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Speaker 1: of like show or anything really that came out in

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Speaker 1: the last calendar year. So I think Stephen Graham's kind

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Speaker 1: of gonna walk with that one.

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Speaker 2: Yeah, I think I love it.

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Speaker 6: Let's do one more and then we'll get out of here.

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Speaker 6: So there are other close call categories include the Supporting

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Speaker 6: Drama Actor, Severance actors versus the White Lotus actors who

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Speaker 6: are splitting the category, or Supporting Comedy Actress. Five of

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Speaker 6: seven omnies appear to have a path to victory, and

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Speaker 6: guest drama actor character actors versus established actors.

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Speaker 5: Who do you think comes out on top?

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Speaker 6: Severance and the White Lotus both had huge years this year,

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Speaker 6: really talked about series, both had big growth in audience views.

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Speaker 5: Which one do you think will come?

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Speaker 6: And HBO, who frequently has led in most wins at

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Speaker 6: the end, isn't even like predicted to be in the

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Speaker 6: top two this year. I think they're looking at eyeing

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Speaker 6: number three. So curious you think Severance at Apple TV?

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Speaker 5: Is this a new.

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Speaker 6: Streaming era or should we go White Lotus and there

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Speaker 6: and keep it traditional with HBO.

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Speaker 1: My thought is yeah. My thought is that Apple does

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Speaker 1: not reach these heights very often critically, and they've got

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Speaker 1: more money than literally every other company on Earth. And

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Speaker 1: I think if they cared about playing the f YC game,

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Speaker 1: they could throw a rounding error type amount at FYC

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Speaker 1: promotion at Severance because this is their chance and that

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Speaker 1: they should win. So I think it's going to be

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Speaker 1: Severance if Apple knows at all what it's doing and

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Speaker 1: is playing the game correctly in any capacity at all time.

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Speaker 5: I agreeingly Weird I really wanted to win.

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Speaker 3: I agree, though, I do think that for some of

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Speaker 3: the academy who probably haven't actually watched Severance, I do

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Speaker 3: think that White Lotus has the beautiful locations, the good

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Speaker 3: looking stars, the easy on the eye. It's HBO, it's

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Speaker 3: their Sunday show, So I think that it's going to

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Speaker 3: be closer than we expect. I do think Severance deserves it,

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Speaker 3: because I did think this season of White Lotus was

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Speaker 3: really incredibly written and had a lot of kind of

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Speaker 3: interesting tropes I enjoy, like the Revenge through La Trope

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Speaker 3: and stuff like that. But Severance is just such an

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Speaker 3: utterly unique show. I would love to see it. You know,

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Speaker 3: get those wins. Let me just before we leave, do

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Speaker 3: you guys? This was a big conversation topic of conversation

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Speaker 3: between me and my friend Abby, who is another fantastic

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Speaker 3: journalist when we were away on a work trip recently.

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Speaker 3: Should there be a limit on how many times shows

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Speaker 3: can be nominated at something like this? I think that

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Speaker 3: there is an argument for it because a show like

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Speaker 3: you know, the Bear, which gets nominated a million, fourteen

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Speaker 3: times every time? Is that taking away opportunities for other

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Speaker 3: shows like Interview with the Vampire.

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Speaker 6: Let's not forget what Modern Family did to that race

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Speaker 6: for so long?

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Speaker 5: What a mess?

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Speaker 2: Yeah, yeah, that's kind of One issue with The.

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Speaker 1: Bear is not its continuous nominations. It is its existence

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Speaker 1: in the comedy, where it is, you know, actually taking

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Speaker 1: opportunities from actual that have jokes in them, like it

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Speaker 1: is not. I don't think capping is necessarily the right

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Speaker 1: solution for this. Just get them out of comedy, put them.

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Speaker 3: To worry about this, Yeah, because I'm I just think

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Speaker 3: a lot about Jacob Anderson and Sam Reid and interviewing

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Speaker 3: the Vampire, and I really feel like post season two

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Speaker 3: that should have been the time that they were getting

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Speaker 3: the nominations, that they were getting recognized, and oftentimes when

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Speaker 3: you have the spected shows that there isn't necessarily like

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Speaker 3: a lot of space left. Also, Joelle, can you quickly

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Speaker 3: just go over what Variety's top ten most winning networks

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Speaker 3: are because it's kind of insane if we compare it

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Speaker 3: to ten years ago, because it's just all it's Yeah,

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Speaker 3: the projected dominant streaming services.

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Speaker 6: They think Netflix is gonna win, which at one point

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Speaker 6: in time was not impossible. That's crazy. Apple TV, which

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Speaker 6: again to Jason's point, doesn't usually do well. They're predicting

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Speaker 6: they're gonna walk away with twenty four. They think HBO

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Speaker 6: Max will hit third with twenty three, so really tight

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Speaker 6: race between one, two and three, and then way down

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Speaker 6: to the list NBC with eleven, Disney Plus with six,

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Speaker 6: Peacock with five, FX, ABC and CB. Sorry Peacock FX

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Speaker 6: ABC with five CBS and Prime Video with three Prime

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Speaker 6: Video given the fact that you Netflix and Apple are

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Speaker 6: your main.

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Speaker 5: Competition, gotta get it whipped in shape over there, hot mess.

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Speaker 2: Yeah, I know.

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Speaker 3: Crazy that there's such a big drop between three and

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Speaker 3: four and NBC is off first like Lennear Network that

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Speaker 3: we get on it, which is predominantly gonna be for

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Speaker 3: Saturday Night Live.

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Speaker 1: Anyway, Joel, what's your big prediction.

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Speaker 5: Uh, My big prediction is scarcely.

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Speaker 6: Prediction is the views will continue to go down until

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Speaker 6: we can figure out how to make award shows better.

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Speaker 5: I think Matt and Bowen.

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Speaker 6: Hey, iHeart fam did a really interesting thing this year

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Speaker 6: by creating their own show with what superlatives. They were

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Speaker 6: not concerned about years or time frame or anything.

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Speaker 5: I would like more award shows like that. Please.

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Speaker 1: Here's my prediction, Matt and Bowen will be producing the

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Speaker 1: Emmys within five years, absolutely correct.

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Speaker 4: Take a break and we'll be back.

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Speaker 1: I'm gonna be talking AI.

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Speaker 2: And we're back.

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Speaker 1: Let's welcome super producer Aboo to the program to talk

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Speaker 1: about the latest ongoings in the legal battle between some

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Speaker 1: of the entertainment's biggest studios against mid Journey an a

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Speaker 1: company that you may be aware of because of their

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Speaker 1: ability to produce images that look exactly like or very

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Speaker 1: similar to images from Warner Brothers, Disney, and so on.

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Speaker 2: Boo, welcome to.

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Speaker 8: Hi, super glad to be here. I'm also an AI agent.

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Speaker 8: By the way, if I say anything today, it's just

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Speaker 8: it's a hallucination.

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Speaker 1: It's not.

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Speaker 3: Okay, cool, understandable, I get it.

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Speaker 1: So, yeah, what's going on with this case?

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Speaker 8: So the news that sparked this discussion today is basically,

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Speaker 8: Warner Brothers has joined in on this copyright battle that

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Speaker 8: other studios are currently having with mid Journey. Mid Journey

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Speaker 8: being the AI image generation tool, and Warner Brothers has

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Speaker 8: sued mid Journey basically alleging that the platform knowingly creates

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Speaker 8: these images of copyrighted characters. Right, Superman, Batman, Bugs, Bunny,

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Speaker 8: Tom and Jerry. You can just ask mid Journey to

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Speaker 8: make images of those characters that are Warner Brothers property.

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Speaker 8: And the other two studios that have similar lawsuits against

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Speaker 8: mid Journey are Disney and Universal. So we're talking big, big,

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Speaker 8: big Hollywood studios going after interestingly sort of like a

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Speaker 8: mid size AI company, right, this is not the big

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Speaker 8: AI companies that most people think when they think AI,

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Speaker 8: this is not a chat GPT lawsuit. This is not

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Speaker 8: a Claude or a Google Gemini lawsuit.

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Speaker 1: Yeah, that's the interesting thing to me.

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Speaker 3: I think it's from the outset. Mid Journey has been

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Speaker 3: at the front of generative AI imagery and I think

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Speaker 3: like we have seen the quality of that grow. And

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Speaker 3: I also will say the note about this specific lawsuit

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Speaker 3: that is really interesting is really a question of mid

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Speaker 3: Journey's argument that this is fair use, because what they

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Speaker 3: show multiple times in reporting around this lawsuit is like

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Speaker 3: if you ask them to make if you ask mid

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Speaker 3: Journey to make like a gritty Batman, it's essentially just

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Speaker 3: a still all a Warner Brothers movie. That's the biggest

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Speaker 3: issue is they are.

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Speaker 1: Also examples example live. The examples that are in the

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Speaker 1: court filings are even I think more or even stronger

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Speaker 1: than that, because what we've seen in the core filings

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Speaker 1: is people have put in like the prompt will be

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Speaker 1: something that doesn't even mention the specific character or ID

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Speaker 1: will just be like classic comic book battle. Yeah, then

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Speaker 1: it will produce Batman verus Superman looking like a still

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Speaker 1: from an animated you know, DCEU DC animated series, And

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Speaker 1: of course part of the problem is these things are Yeah.

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Speaker 1: I think the CEO is quoted in several of the

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Speaker 1: stories that you can read about this talking about like

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Speaker 1: how they just had their large language model, large image model,

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Speaker 1: whatever gobble up everything that's out there on the Internet

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Speaker 1: so that it could digest it and reproduce it according

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Speaker 1: to the prompts that are used. So yeah, I think

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Speaker 1: the part of the interesting thing to me is that

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Speaker 1: this feels like this feels like the first move.

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Speaker 2: Right.

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Speaker 1: You go at the company that's one not as well funded,

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Speaker 1: not as big, and that is really creating stuff that

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Speaker 1: seems to even like the lay person like oh yeah,

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Speaker 1: that looks exactly like Batman, that that looks.

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Speaker 2: Yeah, and.

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Speaker 1: Target them to get hopefully a win on the books

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Speaker 1: so that you could then go at chat, GPT or

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Speaker 1: Claude created by Google some of these bigger players and

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Speaker 1: then try to force the concessions from them.

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Speaker 3: Okay, let me ask you this a boo. Is there

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Speaker 3: also a world whether reason that that, because this to me,

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Speaker 3: you know, all of this feels a little bit late.

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Speaker 3: If you've been in the AI conversation and been going, hey,

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Speaker 3: why aren't these big companies season assisting them. We know

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Speaker 3: Disney season assists people who put Winnie the Pooh on

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Speaker 3: a kid's gravestone. Like, why aren't they see some assisting this?

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Speaker 3: And I think for a long time time the assumption was, well,

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Speaker 3: they want to find a way that AI can fit

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Speaker 3: into their business model and save their money. Right, is

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Speaker 3: there a version of this? Why the reason that these

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Speaker 3: companies are suing mid Journey is because they want to

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Speaker 3: settle and use mid Journey within their own companies. Like,

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Speaker 3: do you think there's a version of it where that

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Speaker 3: is what they're aiming for here? Because you guys are right,

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Speaker 3: this is not the biggest name to go after.

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Speaker 8: Yes, And I think that's another aspect of this rosie

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Speaker 8: that you're touching on that's really interesting because there is

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Speaker 8: this sort of weird tug and pull of the industry

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Speaker 8: trying to figure out how AI could be useful theoretically, right,

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Speaker 8: Like that comes with a thousand caveats, but ultimately like,

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Speaker 8: is there a bottom line benefit to starting to use

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Speaker 8: AI in our productions?

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Speaker 2: Yeah?

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Speaker 8: At the same time, there is, according to these lawsuits

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Speaker 8: and according to what they're alleging, copyright in front happening

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Speaker 8: by these AI tools, and so there is some mixed messaging.

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Speaker 8: I found a really interesting quote in a BBC article

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Speaker 8: from Disney's chief legal officer, Ratio Gutierrez. I want to

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Speaker 8: share that because it kind of illustrates this talking out

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Speaker 8: of both then to your mouth problem from the studios here.

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Speaker 8: The chief legal officer said that the Disney the firm

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Speaker 8: is optimistic about using AI and like are very pro

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Speaker 8: quote unquote responsibly using the AI to further human creativity.

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Speaker 8: But quote piracy is piracy, and the fact that it's

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Speaker 8: done by an AI company does not make it any

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Speaker 8: less infringing end quote.

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Speaker 2: So it's like the.

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Speaker 1: Okay, I get so. Mid Journey's lawyers have also argued

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Speaker 1: the same thing. They've said that essentially the studios are

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Speaker 1: trying to have it both ways, using AI tools while

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Speaker 1: trying to punish a popular AI service. I would liken

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Speaker 1: that argument to like, oh, I see you own guns,

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Speaker 1: but now you have a problem with me going out

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Speaker 1: and shooting someone in the street.

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Speaker 3: Like that.

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Speaker 1: Exactly argument, Like does it really work?

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Speaker 2: I think?

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Speaker 1: But I do agree that I think the end state

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Speaker 1: here because AI as a technology you're kind of zooming

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Speaker 1: out is a important to various economies around the world

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Speaker 1: as people race to do to create this, and.

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Speaker 4: So I think that there's no there's no reality.

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Speaker 1: In which mid Journey goes away or Chatch TBT goes

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Speaker 1: away or hobbled in.

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Speaker 4: Any meaningful way.

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Speaker 1: I think what you will see is mid Journey will

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Speaker 1: have to pay a sizable licenseese going exactly. It'll be

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Speaker 1: like a yearly or every five years, huge fee for

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Speaker 1: them to continue to produce the results that they are producing.

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Speaker 2: Now, I think is where exactly we are headed.

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Speaker 1: But the idea that like, oh, you're trying to have

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Speaker 1: it both ways. No, it's like I'm not trying to

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Speaker 1: have a both ways.

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Speaker 3: I'm just we aren't.

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Speaker 2: I don't want to be.

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Speaker 1: I don't want to be the one that stands up

441
00:25:05,840 --> 00:25:09,040
Speaker 1: for the studios. But it does feel like, you know,

442
00:25:09,160 --> 00:25:13,600
Speaker 1: very clearly you fed your algorithm this stuff and it's

443
00:25:13,600 --> 00:25:15,800
Speaker 1: not producing this stuff. Yeah, and you did it without

444
00:25:15,840 --> 00:25:18,720
Speaker 1: license from the from the people we.

445
00:25:18,720 --> 00:25:23,399
Speaker 3: Know that this, Like the the way that a generative

446
00:25:23,520 --> 00:25:27,120
Speaker 3: AI was trained is like essentially a plagiarism machine. Like

447
00:25:27,200 --> 00:25:30,720
Speaker 3: everybody knows that. I mean, guys, I wrote a book once,

448
00:25:30,840 --> 00:25:34,960
Speaker 3: an entire book, and it was completely colored under fair

449
00:25:35,040 --> 00:25:39,040
Speaker 3: use but it ended up that there was a certain

450
00:25:39,080 --> 00:25:42,720
Speaker 3: studio that wasn't happy about the way that the book

451
00:25:42,800 --> 00:25:45,240
Speaker 3: was put together, so they went to a publisher and

452
00:25:45,280 --> 00:25:48,040
Speaker 3: the book never came out Like this is this is

453
00:25:48,440 --> 00:25:51,760
Speaker 3: should not have surprised the AI companies. This is something

454
00:25:52,160 --> 00:25:56,480
Speaker 3: that is so much precedent throughout the history of Hollywood,

455
00:25:56,560 --> 00:25:59,000
Speaker 3: like it was never gonna happen where I'm sure that

456
00:25:59,040 --> 00:26:02,480
Speaker 3: they Disney was like, it's fine, just use Mickey Mouse

457
00:26:02,480 --> 00:26:04,399
Speaker 3: for free, Like that was never gonna happen.

458
00:26:04,600 --> 00:26:08,280
Speaker 1: I think that I'm sure that some portion of their

459
00:26:08,320 --> 00:26:12,960
Speaker 1: operating budget is earmarked for lawsuits, yes when they started.

460
00:26:13,560 --> 00:26:15,800
Speaker 1: And I think also we need to understand like the

461
00:26:15,840 --> 00:26:20,640
Speaker 1: culture of tech is kind of like capitalism on steroids,

462
00:26:20,680 --> 00:26:27,760
Speaker 1: which is do the illegal shit so quickly that by

463
00:26:27,800 --> 00:26:33,800
Speaker 1: the time people catch on, you're so established that people

464
00:26:33,800 --> 00:26:36,560
Speaker 1: are like, well, this is actually doing something that is valuable.

465
00:26:36,600 --> 00:26:38,479
Speaker 1: So it was illegal, but now let's figure out how

466
00:26:38,520 --> 00:26:40,119
Speaker 1: to work it in zoo. I mean, you know, you

467
00:26:40,119 --> 00:26:43,520
Speaker 1: could just look at the history of the country is

468
00:26:43,640 --> 00:26:47,880
Speaker 1: like is the expansion of the country was like various

469
00:26:48,280 --> 00:26:52,000
Speaker 1: legal treaties were signed with indigenous peoples, but then we

470
00:26:52,080 --> 00:26:54,679
Speaker 1: found gold or we found the oil or we found whatever,

471
00:26:54,800 --> 00:26:57,080
Speaker 1: and then people went in illegally and started getting the

472
00:26:57,080 --> 00:27:00,080
Speaker 1: gold out, and then we went, well, that looks like

473
00:27:00,080 --> 00:27:02,679
Speaker 1: a pretty valuable mine over there. Let's figure out how

474
00:27:02,720 --> 00:27:05,159
Speaker 1: to make that work within the framework of laws. And

475
00:27:05,200 --> 00:27:08,560
Speaker 1: I think that's what will happen. They will figure out

476
00:27:08,600 --> 00:27:10,600
Speaker 1: how to make this all work. The one thing that

477
00:27:10,760 --> 00:27:13,560
Speaker 1: I do, I just want to say, like, the one

478
00:27:13,560 --> 00:27:16,240
Speaker 1: thing that is talking out of both sides of the

479
00:27:16,320 --> 00:27:18,720
Speaker 1: mouth to me and that makes me roll my eyes

480
00:27:18,840 --> 00:27:20,760
Speaker 1: is the statements by the studios where they're like, we

481
00:27:20,880 --> 00:27:26,360
Speaker 1: just want to protect the hard working art correct, we

482
00:27:26,440 --> 00:27:31,640
Speaker 1: know that protect them their blood, sweated.

483
00:27:31,320 --> 00:27:33,320
Speaker 3: Tears, and that's ex.

484
00:27:35,000 --> 00:27:35,480
Speaker 2: Exact.

485
00:27:36,080 --> 00:27:40,119
Speaker 3: That's that's the silliest stuff as well, because you're like, yeah,

486
00:27:40,800 --> 00:27:43,760
Speaker 3: they're literally just exploiting the same people and the same

487
00:27:44,560 --> 00:27:57,760
Speaker 3: you guys and people.

488
00:27:53,320 --> 00:27:55,520
Speaker 4: People to exploit.

489
00:27:55,800 --> 00:27:57,920
Speaker 3: It's also like and there was like, oh my god,

490
00:27:57,920 --> 00:28:00,280
Speaker 3: and we had to pay this person to exploit You're

491
00:28:00,320 --> 00:28:02,320
Speaker 3: doing it for free, Like how did this happen?

492
00:28:02,400 --> 00:28:02,680
Speaker 9: Yeah?

493
00:28:02,760 --> 00:28:05,280
Speaker 8: Yeah, I think that. I think that like perfectly illustrates

494
00:28:05,320 --> 00:28:07,919
Speaker 8: this chas and like there are no heroes and villains here.

495
00:28:07,960 --> 00:28:09,800
Speaker 8: The studios are not the heroes who are being set

496
00:28:09,880 --> 00:28:13,000
Speaker 8: upon by the AI companies, and the AI companies are villains,

497
00:28:14,040 --> 00:28:16,439
Speaker 8: and in my opinion that like the studios are actually

498
00:28:16,520 --> 00:28:19,040
Speaker 8: quite pro AI. They just want to make for this ship.

499
00:28:19,160 --> 00:28:21,199
Speaker 1: Like they're just like that's what the real truth is.

500
00:28:21,200 --> 00:28:24,399
Speaker 8: Then the devil is like ultimately in the details of

501
00:28:24,440 --> 00:28:27,200
Speaker 8: all of this and where we are in uncharted territory

502
00:28:27,280 --> 00:28:31,160
Speaker 8: like you illustrated Chase, and like we basically are trying

503
00:28:31,200 --> 00:28:35,440
Speaker 8: to establish what fair use is for these AI companies,

504
00:28:35,840 --> 00:28:38,840
Speaker 8: how the studios and the AI companies are going to

505
00:28:38,920 --> 00:28:42,680
Speaker 8: establish things like licensing agreements, which there is no precedent for.

506
00:28:42,840 --> 00:28:47,000
Speaker 8: All of these precedents have to like be created and ultimately,

507
00:28:47,040 --> 00:28:48,960
Speaker 8: like that is the purpose of lawsuits like this is

508
00:28:49,280 --> 00:28:52,120
Speaker 8: this is this is like the first lob in a

509
00:28:52,200 --> 00:28:56,080
Speaker 8: long war that is going to establish the legal precedent

510
00:28:56,120 --> 00:28:56,400
Speaker 8: for this.

511
00:28:56,400 --> 00:28:57,040
Speaker 2: Sort of I.

512
00:28:58,560 --> 00:29:03,560
Speaker 1: Think where we're going right is like the dream slash

513
00:29:03,600 --> 00:29:07,040
Speaker 1: nightmare scenario is one day in the future you will

514
00:29:07,080 --> 00:29:11,280
Speaker 1: be able to like type into some large language model

515
00:29:12,360 --> 00:29:14,880
Speaker 1: star wars but starring the Simpsons.

516
00:29:15,120 --> 00:29:17,160
Speaker 3: Yeah, that's basically what they want it and it.

517
00:29:17,160 --> 00:29:20,680
Speaker 1: Will create a two hour movie or whatever, an hour

518
00:29:21,120 --> 00:29:25,040
Speaker 1: or a half hour animated series in which you know,

519
00:29:25,120 --> 00:29:29,560
Speaker 1: Bart Simpson is Luke Skywalker. The difference will be that

520
00:29:29,840 --> 00:29:33,040
Speaker 1: every stakeholder in that will get some sort of like

521
00:29:33,120 --> 00:29:36,640
Speaker 1: they will pay, They will pay Warner Brothers, they will

522
00:29:36,640 --> 00:29:38,240
Speaker 1: pay Matt Groening, et cetera.

523
00:29:38,320 --> 00:29:39,720
Speaker 2: And I think that's what will happen.

524
00:29:40,160 --> 00:29:42,680
Speaker 3: Yeah, I just I just want to say before we leave,

525
00:29:42,760 --> 00:29:46,560
Speaker 3: I want to there is some reporting around this stuff,

526
00:29:46,680 --> 00:29:50,280
Speaker 3: especially with an upcoming project. Open Ai is developing a

527
00:29:50,280 --> 00:29:54,920
Speaker 3: feature link movie animated using AI technology. This was a

528
00:29:54,960 --> 00:29:57,880
Speaker 3: Wall Street Jannal piece. But the funny thing is that

529
00:29:58,080 --> 00:30:00,840
Speaker 3: like they're reporting around this, I feel is doing that

530
00:30:01,000 --> 00:30:06,680
Speaker 3: classic kind of like they're they're trying to create consent

531
00:30:06,800 --> 00:30:10,440
Speaker 3: for something that doesn't need to be consented to by

532
00:30:10,480 --> 00:30:12,960
Speaker 3: the public, where it's like they're like, this project will

533
00:30:13,040 --> 00:30:16,480
Speaker 3: dramatically reduce costs. It's gonna be made for under thirty

534
00:30:16,520 --> 00:30:20,479
Speaker 3: million dollars. Guess what flow one an oscar four million dollars,

535
00:30:20,800 --> 00:30:24,600
Speaker 3: Spirit it Away twenty two million dollars. Like what about

536
00:30:25,320 --> 00:30:28,640
Speaker 3: any Satoshi Cone movie made for two to three million dollars?

537
00:30:28,680 --> 00:30:31,480
Speaker 3: Like I think that the way money is and the

538
00:30:31,480 --> 00:30:33,680
Speaker 3: way they're reporting on this stuff, they're going to act

539
00:30:33,760 --> 00:30:36,440
Speaker 3: like it's cutting costs but the people who are actually

540
00:30:36,520 --> 00:30:41,600
Speaker 3: out there, Studio Saloon, incredible anime companies like you know,

541
00:30:41,640 --> 00:30:44,680
Speaker 3: Studio Sara and stuff. I think that there are people

542
00:30:44,720 --> 00:30:48,560
Speaker 3: who can make these movies and make stuff for cheaper,

543
00:30:49,200 --> 00:30:52,680
Speaker 3: and I think that it's better quality stuff. So I

544
00:30:52,800 --> 00:30:56,200
Speaker 3: kind of am always wary of when a studio is like, yeah,

545
00:30:56,240 --> 00:30:58,600
Speaker 3: this is gonna cost so much less, and variety just

546
00:30:58,720 --> 00:31:01,240
Speaker 3: or Wall Street channels like yeah, yes it will cost less,

547
00:31:01,320 --> 00:31:05,080
Speaker 3: rather than like laying out the animation can actually and

548
00:31:05,240 --> 00:31:09,400
Speaker 3: is actually because people are underpaid. Has always been made

549
00:31:09,480 --> 00:31:12,840
Speaker 3: for under thirty million dollars, like in a lot of cases.

550
00:31:13,440 --> 00:31:18,120
Speaker 3: And I think that sadly, their plan is, well, if

551
00:31:18,120 --> 00:31:19,640
Speaker 3: we can do it for that cheap, we don't have

552
00:31:19,680 --> 00:31:23,560
Speaker 3: to have creators involved. But alas as we know that, well.

553
00:31:23,360 --> 00:31:25,520
Speaker 2: The Paddington writers are writing that movie, So.

554
00:31:27,320 --> 00:31:31,040
Speaker 3: Paddington three, it's a very different situation. Paddington more than two.

555
00:31:31,200 --> 00:31:32,600
Speaker 1: But like quality movies.

556
00:31:33,040 --> 00:31:35,400
Speaker 2: But already they're unable to create that.

557
00:31:35,520 --> 00:31:38,440
Speaker 1: And I will add that in that story, it's very

558
00:31:38,520 --> 00:31:42,120
Speaker 1: vague about like what the percentage of actual AI is

559
00:31:42,160 --> 00:31:42,640
Speaker 1: in the thing.

560
00:31:42,920 --> 00:31:47,520
Speaker 3: Anyway they say it, yeah, it's going to be largely

561
00:31:47,600 --> 00:31:49,320
Speaker 3: created with AI technology.

562
00:31:49,400 --> 00:31:50,080
Speaker 5: That means.

563
00:31:51,680 --> 00:31:54,120
Speaker 3: We'll see will it really get into can Film Festival.

564
00:31:54,560 --> 00:31:58,840
Speaker 3: That will be an interesting year on the crossings people,

565
00:31:59,480 --> 00:32:01,320
Speaker 3: big boos are going to be coming big.

566
00:32:04,480 --> 00:32:06,760
Speaker 1: Okay, let's take our quick break and we'll be back

567
00:32:06,840 --> 00:32:30,040
Speaker 1: with our summers streaming. Let's welcome super producer Joel.

568
00:32:31,200 --> 00:32:32,960
Speaker 5: You guys. Okay.

569
00:32:33,000 --> 00:32:35,040
Speaker 6: So I put this in the producers Group chat and

570
00:32:35,120 --> 00:32:39,320
Speaker 6: I wanted to bring it onto XRGC and I'm continue

571
00:32:39,320 --> 00:32:42,640
Speaker 6: to be frustrated. Since two thousand and eleven, I have

572
00:32:42,800 --> 00:32:46,920
Speaker 6: been asking streaming companies to put together playlists so that

573
00:32:46,960 --> 00:32:50,880
Speaker 6: we could watch our shows out of order like regular TV,

574
00:32:51,080 --> 00:32:53,000
Speaker 6: so I don't have to select my shows and I

575
00:32:53,040 --> 00:32:55,600
Speaker 6: don't have to binge. But there's no intermedia. You just

576
00:32:55,640 --> 00:32:58,320
Speaker 6: have to do it yourself. And then I was like, well,

577
00:32:58,360 --> 00:33:01,160
Speaker 6: you know, Spotify does these rap years wrapped things at

578
00:33:01,200 --> 00:33:02,840
Speaker 6: the end of every year where they're like, this is

579
00:33:02,880 --> 00:33:04,400
Speaker 6: what you listen to you most this year, this is

580
00:33:04,440 --> 00:33:08,680
Speaker 6: your point one percent most listened like performer or whatever.

581
00:33:08,880 --> 00:33:10,640
Speaker 6: And I was like, man, if I had this for

582
00:33:10,760 --> 00:33:13,560
Speaker 6: any of my streaming apps, I would both be embarrassed

583
00:33:13,760 --> 00:33:14,720
Speaker 6: and surprised.

584
00:33:14,760 --> 00:33:16,880
Speaker 5: I think, so.

585
00:33:17,040 --> 00:33:20,120
Speaker 3: Mine, Well I will, so I will tell you that

586
00:33:20,520 --> 00:33:22,680
Speaker 3: I think that this is a great idea for a

587
00:33:22,720 --> 00:33:25,640
Speaker 3: little summer streaming. Wrapped, while we pick off face, I

588
00:33:25,640 --> 00:33:28,960
Speaker 3: will say, if you are a cinephile movie lover, let

589
00:33:28,960 --> 00:33:31,520
Speaker 3: a box does have a version of this where you

590
00:33:31,560 --> 00:33:33,200
Speaker 3: can look at your own stats.

591
00:33:34,560 --> 00:33:36,400
Speaker 5: Also, then you have to manually input.

592
00:33:36,760 --> 00:33:37,640
Speaker 4: Yes, you have to.

593
00:33:40,200 --> 00:33:41,280
Speaker 5: I am lazy.

594
00:33:42,120 --> 00:33:42,560
Speaker 10: I like that.

595
00:33:43,240 --> 00:33:45,920
Speaker 1: I'm a little confused too about something else, like so

596
00:33:46,200 --> 00:33:49,360
Speaker 1: you want basically like TV on streaming where there's just

597
00:33:49,400 --> 00:33:53,720
Speaker 1: a thing on, okay, and it's off of your tastes.

598
00:33:54,800 --> 00:33:58,880
Speaker 5: So if they would introduce me because Criaturian.

599
00:33:58,280 --> 00:34:01,040
Speaker 1: And Amazon Prime, do you have that feature? I just

600
00:34:01,040 --> 00:34:01,880
Speaker 1: wanted to let you know.

601
00:34:03,480 --> 00:34:06,959
Speaker 3: I'm not okaya. I feel like Pluto TV and that

602
00:34:07,040 --> 00:34:08,280
Speaker 3: kind of stuff like Act.

603
00:34:08,120 --> 00:34:11,839
Speaker 1: Wait, Criterion to None of them are based off your

604
00:34:12,160 --> 00:34:15,480
Speaker 1: things you like, but it's live television basically.

605
00:34:15,719 --> 00:34:15,959
Speaker 2: Okay.

606
00:34:15,960 --> 00:34:18,560
Speaker 5: See that's not the same thing. So I have Venture.

607
00:34:18,600 --> 00:34:21,120
Speaker 6: Disney Plus also has that where they're like, if you

608
00:34:21,160 --> 00:34:22,239
Speaker 6: like this thing, you could just watch it.

609
00:34:22,400 --> 00:34:24,040
Speaker 5: No, I'm talking.

610
00:34:23,719 --> 00:34:27,680
Speaker 6: About like a playlist for example, I can do I

611
00:34:27,719 --> 00:34:29,880
Speaker 6: have a playlist that is just albums I like, and

612
00:34:29,880 --> 00:34:31,840
Speaker 6: then I just hit shuffle and the songs are just

613
00:34:31,840 --> 00:34:33,560
Speaker 6: coming up at random and it's beautiful.

614
00:34:33,600 --> 00:34:35,160
Speaker 5: I know, I like these albums. It's lovely.

615
00:34:35,440 --> 00:34:39,400
Speaker 6: Imagine if I'm chilling at home Hulu so many options.

616
00:34:39,480 --> 00:34:41,400
Speaker 6: Maybe I get Alien or episode, then I get a

617
00:34:41,440 --> 00:34:44,560
Speaker 6: Bob's Burger's, then I get like the Kardashians. If that's

618
00:34:44,560 --> 00:34:47,640
Speaker 6: the thing my cousin watches my HULUSA, they're frequently on there, listen.

619
00:34:47,680 --> 00:34:50,120
Speaker 6: I just think that there's something really beautiful about like

620
00:34:50,480 --> 00:34:52,920
Speaker 6: you have all these shows, you're constantly on our app Anyway,

621
00:34:52,960 --> 00:34:55,080
Speaker 6: a lot of people just put things onto the background.

622
00:34:54,719 --> 00:34:57,319
Speaker 5: For their dog. I just think, like, we have some

623
00:34:57,400 --> 00:34:59,200
Speaker 5: options here, make me a playlist.

624
00:34:58,800 --> 00:34:59,960
Speaker 4: So are you just sat as?

625
00:35:00,440 --> 00:35:07,879
Speaker 1: Then with the category the tile category, broadly, I would

626
00:35:07,920 --> 00:35:08,640
Speaker 1: broadly call it.

627
00:35:08,600 --> 00:35:10,880
Speaker 2: Like we think you'll love this, yeah, yeah, you know

628
00:35:10,960 --> 00:35:14,200
Speaker 2: on net m okay, I.

629
00:35:14,120 --> 00:35:17,400
Speaker 6: Love a recommendation section, right, But I think the tiles

630
00:35:17,440 --> 00:35:21,320
Speaker 6: are limiting because you're just getting endless scroll and.

631
00:35:21,200 --> 00:35:22,480
Speaker 5: It's not really helpful.

632
00:35:22,560 --> 00:35:24,720
Speaker 6: I think I like HBO has done a really interesting

633
00:35:24,719 --> 00:35:27,400
Speaker 6: thing where they were like this is the Miyazaki section,

634
00:35:27,600 --> 00:35:29,040
Speaker 6: Like if you just want DC, you can.

635
00:35:28,880 --> 00:35:31,280
Speaker 5: Go there, and that's a little bit more helpful.

636
00:35:31,880 --> 00:35:33,760
Speaker 4: But I don't think we've really updated.

637
00:35:33,760 --> 00:35:37,000
Speaker 5: Like even just our Internet spaces, like how we navigate

638
00:35:37,000 --> 00:35:37,279
Speaker 5: on the I.

639
00:35:37,320 --> 00:35:40,120
Speaker 6: Just think there's we could be much more creative. Uh,

640
00:35:40,160 --> 00:35:42,959
Speaker 6: and we're not there yet. So anyway, I was thinking

641
00:35:42,960 --> 00:35:44,759
Speaker 6: about the Spotify rap and I was like, huh, I

642
00:35:44,760 --> 00:35:48,320
Speaker 6: have some questions. Uh, Spotify, does this is your genres?

643
00:35:48,320 --> 00:35:49,720
Speaker 5: You're most listening to? Genres?

644
00:35:49,760 --> 00:35:52,680
Speaker 6: And I was curious for you guys, if you were

645
00:35:52,719 --> 00:35:54,880
Speaker 6: to have an app rap at the end of the

646
00:35:55,000 --> 00:35:57,640
Speaker 6: year for your television watching or even maybe just for

647
00:35:57,680 --> 00:36:00,759
Speaker 6: this summer, Like, what would the categories for you?

648
00:36:01,000 --> 00:36:02,160
Speaker 5: Carmen, Let's start with you.

649
00:36:03,000 --> 00:36:05,319
Speaker 10: Yeah, thank you. This is something you know.

650
00:36:05,360 --> 00:36:07,480
Speaker 11: We talked about a little bit about this yesterday and

651
00:36:07,520 --> 00:36:09,200
Speaker 11: I started to really think about it, and I was like,

652
00:36:09,480 --> 00:36:11,320
Speaker 11: what is you know, what are.

653
00:36:11,200 --> 00:36:12,320
Speaker 10: My watching habits?

654
00:36:12,320 --> 00:36:14,600
Speaker 11: And obviously I have a lot of streaming habits that

655
00:36:14,640 --> 00:36:17,560
Speaker 11: are related to X ray vision, so I'm watching a

656
00:36:17,560 --> 00:36:19,440
Speaker 11: lot of the shows that we're talking about on the pod.

657
00:36:20,120 --> 00:36:25,440
Speaker 11: But I realized, like, I watch more YouTube than probably anything.

658
00:36:27,000 --> 00:36:29,319
Speaker 3: You're not Alone. You're not Alone. I believe that's one

659
00:36:29,320 --> 00:36:31,600
Speaker 3: of the most beautiful football watch.

660
00:36:33,680 --> 00:36:36,480
Speaker 11: Yeah, and so I gave myself like the streaming genre

661
00:36:36,560 --> 00:36:40,400
Speaker 11: label of like horror, true crime and a reverence slop,

662
00:36:40,440 --> 00:36:42,160
Speaker 11: but the horror and the true crime has to be

663
00:36:42,320 --> 00:36:44,480
Speaker 11: like from a very specific era. It has to be

664
00:36:45,200 --> 00:36:49,480
Speaker 11: nineties television error horror and true crime.

665
00:36:49,680 --> 00:36:50,120
Speaker 10: And so.

666
00:36:52,040 --> 00:36:55,840
Speaker 11: I would say, like, that's my genre label. The top

667
00:36:55,920 --> 00:36:59,360
Speaker 11: one percent that I think I would fall into because

668
00:36:59,440 --> 00:37:02,360
Speaker 11: I so frequently put this on to nap too and

669
00:37:02,400 --> 00:37:04,920
Speaker 11: I wake up in like four episodes have already passed.

670
00:37:05,520 --> 00:37:09,279
Speaker 11: Is either unsolved mysteries or forensic files. I know for

671
00:37:09,360 --> 00:37:11,799
Speaker 11: a classic.

672
00:37:13,760 --> 00:37:17,680
Speaker 3: Embodying the lives of many women.

673
00:37:17,640 --> 00:37:19,440
Speaker 11: I had to think about it too. I was like,

674
00:37:19,480 --> 00:37:22,759
Speaker 11: why do I like falling asleep to that? And I

675
00:37:22,800 --> 00:37:24,719
Speaker 11: realized it's those voices.

676
00:37:27,480 --> 00:37:31,600
Speaker 1: But he didn't realize the killer was right outside.

677
00:37:32,000 --> 00:37:35,399
Speaker 3: Yeah, exactly. Very relaxing, Joe.

678
00:37:35,600 --> 00:37:37,160
Speaker 2: She went to work that morning.

679
00:37:37,640 --> 00:37:39,359
Speaker 4: Everything felt fine.

680
00:37:39,320 --> 00:37:43,560
Speaker 3: It was it was a normal day, Joel. What would

681
00:37:43,600 --> 00:37:47,080
Speaker 3: your streaming genre label be and what would the property

682
00:37:47,160 --> 00:37:48,839
Speaker 3: that you were in the top one percent of.

683
00:37:49,920 --> 00:37:51,640
Speaker 6: I'm gonna do like Harmon did, because I like that

684
00:37:51,640 --> 00:37:53,960
Speaker 6: you had, you had two regulars, and then a Netflix

685
00:37:54,000 --> 00:37:59,280
Speaker 6: style category appreciated. So I think adult animation would definitely

686
00:37:59,280 --> 00:38:03,320
Speaker 6: be up there, and then I think like Prestige TV.

687
00:38:03,680 --> 00:38:06,879
Speaker 6: I kind of just vacillate between the two. But if

688
00:38:06,880 --> 00:38:09,279
Speaker 6: I was going to go with a Netflix thing, I

689
00:38:09,280 --> 00:38:15,600
Speaker 6: would be like, uh, angry women over forty.

690
00:38:15,239 --> 00:38:28,920
Speaker 9: Trying to figure out their lives es an angry woman program.

691
00:38:29,520 --> 00:38:35,600
Speaker 6: She has the right angry be angry, and she should

692
00:38:35,600 --> 00:38:37,719
Speaker 6: be at my point one percent, I think, surprising no

693
00:38:37,760 --> 00:38:42,640
Speaker 6: one on this show Bob's Burgers, Do I sing?

694
00:38:43,080 --> 00:38:45,680
Speaker 5: Right? That's who recently started this thing where they were like,

695
00:38:45,719 --> 00:38:48,400
Speaker 5: they cut off the credits at the end.

696
00:38:48,600 --> 00:38:51,279
Speaker 6: Are you disrupting the unique song they put at the

697
00:38:51,360 --> 00:38:54,280
Speaker 6: end of each episode? Like Bob creates an original burger

698
00:38:54,280 --> 00:38:55,080
Speaker 6: in every episode.

699
00:38:55,320 --> 00:38:57,200
Speaker 5: How dare you? I don't like it?

700
00:38:57,280 --> 00:38:57,879
Speaker 3: I turn that off.

701
00:38:57,960 --> 00:39:01,080
Speaker 5: I have to listen to the whole song. Love me

702
00:39:01,120 --> 00:39:01,680
Speaker 5: some Bobs?

703
00:39:01,800 --> 00:39:02,360
Speaker 4: What about you?

704
00:39:02,480 --> 00:39:04,719
Speaker 5: Rosie Categories and your point one percent show?

705
00:39:05,120 --> 00:39:07,839
Speaker 3: Okay, well, my point one percent show is definitely murder.

706
00:39:07,920 --> 00:39:10,600
Speaker 3: She wrote, I have present show every day and I

707
00:39:10,640 --> 00:39:13,880
Speaker 3: go to sleep. We all know there is a murder.

708
00:39:14,000 --> 00:39:14,440
Speaker 10: She wrote.

709
00:39:14,680 --> 00:39:19,000
Speaker 3: Twenty four to seven channel on TV as also on

710
00:39:19,120 --> 00:39:22,399
Speaker 3: book and on Google. They have all of those. There

711
00:39:22,440 --> 00:39:25,040
Speaker 3: is a Midsummer Murders twenty four hour a day channel.

712
00:39:25,080 --> 00:39:27,359
Speaker 3: That's another one of my favorite ones. That's like, that's

713
00:39:27,360 --> 00:39:31,479
Speaker 3: a brit really weird, campy British one with crazy guest

714
00:39:31,520 --> 00:39:35,000
Speaker 3: stars Olivia Coleman or Anno Bloom like everyone's been in

715
00:39:35,040 --> 00:39:39,440
Speaker 3: the show. I will say, obviously love TV, cover a

716
00:39:39,480 --> 00:39:43,160
Speaker 3: lot of TV on this pod, but I am a

717
00:39:43,239 --> 00:39:46,680
Speaker 3: solid at home movie watcher. If I'm not covering the show,

718
00:39:46,840 --> 00:39:51,240
Speaker 3: I am mostly movies. So my theme this year, according

719
00:39:51,280 --> 00:39:55,840
Speaker 3: to Letterbox, is I have the most movies I've watched

720
00:39:55,880 --> 00:39:58,840
Speaker 3: this year are sixty films in the genre of horror,

721
00:39:59,120 --> 00:40:04,560
Speaker 3: the Undead Monsters, and my second forty three films Epic Heroes.

722
00:40:05,080 --> 00:40:08,520
Speaker 3: So you know, I think it's very as as is expected.

723
00:40:08,840 --> 00:40:12,759
Speaker 3: But yeah, I mean my most watched film this year

724
00:40:12,800 --> 00:40:16,320
Speaker 3: because it's one of my like ultimate comfort films is Wicked,

725
00:40:17,719 --> 00:40:20,960
Speaker 3: since I've watched it six times this year, holding space. Yeah,

726
00:40:21,000 --> 00:40:23,600
Speaker 3: I'm holding space, can't help. Four times I've watched the

727
00:40:23,640 --> 00:40:25,960
Speaker 3: Minecraft movie. Can you tell? I have lots of nieces

728
00:40:25,960 --> 00:40:30,080
Speaker 3: and nephews three times, ranking Embasses, the Hobbit three times,

729
00:40:30,160 --> 00:40:32,440
Speaker 3: Capop Demon Hunters three times weapons.

730
00:40:32,800 --> 00:40:36,440
Speaker 1: So those are my weapons three times two those are.

731
00:40:36,520 --> 00:40:38,680
Speaker 5: Currently weapons family.

732
00:40:38,440 --> 00:40:41,360
Speaker 3: Over here, those are my those are my current my

733
00:40:41,520 --> 00:40:45,319
Speaker 3: current tops, and I'm averaging around forty two movies per month,

734
00:40:45,360 --> 00:40:48,919
Speaker 3: so you can tell things about great and my app Wow. Yeah,

735
00:40:48,920 --> 00:40:51,080
Speaker 3: I watch movies all day every day while I work.

736
00:40:51,160 --> 00:40:53,080
Speaker 3: It's It's all I do pretty much when I'm not

737
00:40:53,120 --> 00:40:56,719
Speaker 3: recording the podcast. So, Jason, what do you think? What's

738
00:40:56,760 --> 00:41:00,000
Speaker 3: your TVY wrap up? Your streaming wrap up?

739
00:41:00,640 --> 00:41:06,040
Speaker 1: My point zero zero one viewing rating is going to

740
00:41:06,120 --> 00:41:08,480
Speaker 1: be uh, And I think this is going to be

741
00:41:08,480 --> 00:41:11,279
Speaker 1: indicative of a lot of my tastes. It is going

742
00:41:11,360 --> 00:41:17,200
Speaker 1: to be ken Burns the Civil War documentary. It's a

743
00:41:17,360 --> 00:41:23,680
Speaker 1: highly listen I I fully acknowledge the but it's dad

744
00:41:23,800 --> 00:41:26,440
Speaker 1: programming and something about it. I put it on and

745
00:41:26,480 --> 00:41:28,000
Speaker 1: it soothes me, and I can do.

746
00:41:28,000 --> 00:41:28,600
Speaker 2: All this stuff.

747
00:41:30,600 --> 00:41:35,640
Speaker 1: It's so good to that is way too boring for me,

748
00:41:35,760 --> 00:41:39,640
Speaker 1: but I was The Vietnam One is also a one

749
00:41:39,680 --> 00:41:41,520
Speaker 1: that I can just like have on.

750
00:41:41,719 --> 00:41:45,640
Speaker 4: Okay, So let's just go through my.

751
00:41:45,760 --> 00:41:50,560
Speaker 1: We think you'll love these Netflix on that Flix Hostiles,

752
00:41:50,920 --> 00:41:54,600
Speaker 1: the I'm gonna I'm gonna characterize this as.

753
00:41:57,440 --> 00:41:59,960
Speaker 2: War crime and comedy.

754
00:42:00,239 --> 00:42:02,560
Speaker 3: That's what, Okay, we forget like that.

755
00:42:02,719 --> 00:42:07,680
Speaker 1: So Hostiles, this is a western uh starring Uh looks

756
00:42:07,840 --> 00:42:10,200
Speaker 1: like to be Christian Bale.

757
00:42:11,080 --> 00:42:14,040
Speaker 3: You are getting datted up and I'm getting a lot

758
00:42:14,040 --> 00:42:14,759
Speaker 3: of Dad.

759
00:42:16,040 --> 00:42:23,960
Speaker 1: Blow the Johnny Depp Penelope Cruise Cocaine seventies cocaine smuggler movie,

760
00:42:24,000 --> 00:42:24,560
Speaker 1: which I've seen.

761
00:42:24,600 --> 00:42:27,799
Speaker 2: I didn't think was that good turning point. The Vietnam War.

762
00:42:28,600 --> 00:42:31,080
Speaker 5: Oh Jensen, take me with you.

763
00:42:31,160 --> 00:42:34,400
Speaker 2: She's a stand up, very very talented stand.

764
00:42:34,239 --> 00:42:35,759
Speaker 4: Up Kax.

765
00:42:40,000 --> 00:42:45,040
Speaker 1: The least said out of the Vetter train Wreck poop Cruise.

766
00:42:47,920 --> 00:42:51,280
Speaker 1: And I've got the number of the high school, like waiting,

767
00:42:52,000 --> 00:42:54,520
Speaker 1: I've got waiting in the wings for this.

768
00:42:54,440 --> 00:42:57,600
Speaker 3: Weekend, maybe the most thing this year that's coming.

769
00:42:57,760 --> 00:43:00,560
Speaker 1: Yes, I've already had it spoiled the if, if such

770
00:43:00,560 --> 00:43:02,520
Speaker 1: a thing can be spoiled.

771
00:43:02,200 --> 00:43:05,640
Speaker 3: Not it won't make your enjoyment about any less.

772
00:43:05,840 --> 00:43:08,840
Speaker 1: Or we think you'll love these untamed I don't know

773
00:43:08,880 --> 00:43:14,040
Speaker 1: what that is Quarterback Uh Devo the documentary about Devo.

774
00:43:14,280 --> 00:43:16,840
Speaker 4: Yeah, okay, zero zero Day.

775
00:43:16,680 --> 00:43:21,360
Speaker 1: The Hateful Eight, Candle her A lot of war stuff you.

776
00:43:23,280 --> 00:43:24,480
Speaker 5: Have, Jason, Yeah, right?

777
00:43:24,600 --> 00:43:27,520
Speaker 3: How many children are in this house only?

778
00:43:28,320 --> 00:43:30,520
Speaker 1: So it's basically like a lot of stuff that I

779
00:43:30,520 --> 00:43:33,280
Speaker 1: can have on where it's like did I just miss

780
00:43:34,080 --> 00:43:37,080
Speaker 1: was I like checked out for twenty minutes of Happy

781
00:43:37,120 --> 00:43:37,759
Speaker 1: Gilmour too?

782
00:43:37,840 --> 00:43:38,320
Speaker 2: Probably?

783
00:43:38,400 --> 00:43:40,760
Speaker 1: But now I'm going to watch it for fen minutes.

784
00:43:40,560 --> 00:43:42,440
Speaker 3: And then back exactly.

785
00:43:43,360 --> 00:43:44,359
Speaker 2: So that's that's my.

786
00:43:45,000 --> 00:43:48,480
Speaker 3: That's what Netflix, that's second streaming.

787
00:43:49,880 --> 00:43:53,200
Speaker 6: I have one more category before we exit here, and

788
00:43:53,239 --> 00:43:56,200
Speaker 6: that category it's an interesting and challenging one. So you

789
00:43:56,239 --> 00:43:58,279
Speaker 6: could kind of take it as you want. But you

790
00:43:58,400 --> 00:44:01,359
Speaker 6: get artists in your Spotify rapt like this your most

791
00:44:01,400 --> 00:44:03,759
Speaker 6: listened to artists, and so I was curious, is there

792
00:44:03,800 --> 00:44:07,960
Speaker 6: a creator or performer that you think would pop up

793
00:44:08,080 --> 00:44:11,279
Speaker 6: most in your wrapt? I think mine would be Kevin

794
00:44:11,280 --> 00:44:12,120
Speaker 6: Michael Richardson.

795
00:44:12,680 --> 00:44:15,680
Speaker 5: Uh, He's a voice actor. He does like eighty nine

796
00:44:15,840 --> 00:44:16,799
Speaker 5: projects a year.

797
00:44:17,080 --> 00:44:18,960
Speaker 6: I feel like I listened to a ton of them,

798
00:44:19,000 --> 00:44:21,520
Speaker 6: So I'm like, I think they're definitely gonna be A

799
00:44:21,560 --> 00:44:23,160
Speaker 6: voice actor is gonna be my top and I would

800
00:44:23,200 --> 00:44:25,640
Speaker 6: pick him, Karen, what about you?

801
00:44:27,040 --> 00:44:30,800
Speaker 11: Mine are definitely gonna have to be Trixie Mattel and

802
00:44:30,880 --> 00:44:35,960
Speaker 11: katiasmal So watch everything that they put out. A lot

803
00:44:35,960 --> 00:44:36,839
Speaker 11: of my contents that I.

804
00:44:36,800 --> 00:44:39,760
Speaker 10: Watch is outside of works and stuff and boyfriend.

805
00:44:39,840 --> 00:44:42,360
Speaker 11: I have boyfriend category, I have work category, and then

806
00:44:42,400 --> 00:44:44,960
Speaker 11: I have Karmen alone time category.

807
00:44:44,560 --> 00:44:50,840
Speaker 9: And everybody's division of watching the people I live with

808
00:44:51,040 --> 00:44:53,040
Speaker 9: watching watching.

809
00:44:53,160 --> 00:44:56,040
Speaker 11: But when I watching It's Tricksy and Katia. I will

810
00:44:56,040 --> 00:44:58,520
Speaker 11: literally I will put on episodes of Uh. I will

811
00:44:58,520 --> 00:45:00,279
Speaker 11: put on episodes of The Balls in the Beautiful. I

812
00:45:00,280 --> 00:45:03,120
Speaker 11: will just watched anything that they're doing because they're make me.

813
00:45:03,640 --> 00:45:04,480
Speaker 3: They're so funny.

814
00:45:06,760 --> 00:45:09,520
Speaker 2: Rosie, what about go ahead, Rosie?

815
00:45:09,560 --> 00:45:12,279
Speaker 3: Yeah, well I can again thank you to Letterbox. I

816
00:45:12,280 --> 00:45:14,200
Speaker 3: am not sponsored, but if you'd like to sponsor me

817
00:45:14,320 --> 00:45:17,240
Speaker 3: or the podcast, I am a I'm a letter Box patron.

818
00:45:17,280 --> 00:45:19,200
Speaker 3: I pay my pay my money every year so I

819
00:45:19,239 --> 00:45:21,800
Speaker 3: can use it without ads and get my stats because

820
00:45:21,840 --> 00:45:23,799
Speaker 3: this is the thing I know who. My most watched

821
00:45:23,800 --> 00:45:27,160
Speaker 3: performers of this year so far have been Christopher Lee

822
00:45:27,520 --> 00:45:30,480
Speaker 3: in six movies, so that's probably because I've been watching

823
00:45:30,480 --> 00:45:34,000
Speaker 3: a lot of Hammer, Horror, Ron Perlman, five movies, probably

824
00:45:34,800 --> 00:45:37,160
Speaker 3: B movies and hell Boy, which I rewatch a lot,

825
00:45:37,320 --> 00:45:40,879
Speaker 3: and then fourth She'll be going up because I love

826
00:45:40,960 --> 00:45:43,040
Speaker 3: to watch a movie. Pam Grea, I watch a lot

827
00:45:43,040 --> 00:45:46,880
Speaker 3: of There Is a There is a. They have a fast,

828
00:45:47,239 --> 00:45:51,320
Speaker 3: free ad supported television channel now called Pam Gria's Soul Flicks,

829
00:45:51,760 --> 00:45:56,040
Speaker 3: and all it is is rips of old, weird black

830
00:45:56,040 --> 00:45:59,960
Speaker 3: exploitation and exploitation movies and I have discovered some real

831
00:46:00,120 --> 00:46:02,359
Speaker 3: the incredible movies on that I have never seen before,

832
00:46:02,360 --> 00:46:06,840
Speaker 3: and I have quite an extensive exploitation DVD box set collection.

833
00:46:07,000 --> 00:46:10,359
Speaker 3: So yeah, definitely Pamgris Sulflix loving that and yeah those

834
00:46:10,360 --> 00:46:14,879
Speaker 3: are my three Christopher Lee, prom Pellman and Pam Grit

835
00:46:15,680 --> 00:46:18,879
Speaker 3: very up to date selections, clearly, Jason, how about you.

836
00:46:19,400 --> 00:46:24,640
Speaker 1: My most watched this person? It's gonna be all Spanish

837
00:46:24,719 --> 00:46:25,560
Speaker 1: language creators.

838
00:46:25,640 --> 00:46:32,000
Speaker 2: I'm gonna go with h q RU Paul who.

839
00:46:31,840 --> 00:46:38,440
Speaker 1: Is a former police officer currently living in Mexico, Spanish

840
00:46:38,560 --> 00:46:41,840
Speaker 1: teacher and content creator who I think has one of

841
00:46:41,840 --> 00:46:44,920
Speaker 1: the biggest you know, Spanish is the second language community

842
00:46:45,000 --> 00:46:47,319
Speaker 1: is on YouTube, and I just watch a lot of

843
00:46:47,360 --> 00:46:51,080
Speaker 1: his stuff as I continue my language journey through the

844
00:46:51,520 --> 00:46:55,000
Speaker 1: beautiful language. So I'm just like, by the way my

845
00:46:56,320 --> 00:46:58,280
Speaker 1: commercial algorithms.

846
00:46:58,600 --> 00:46:58,839
Speaker 3: Oh.

847
00:47:00,320 --> 00:47:04,840
Speaker 1: Oh yeah, all my all my commercials are currently.

848
00:47:05,640 --> 00:47:06,799
Speaker 10: That's how you won.

849
00:47:07,080 --> 00:47:13,440
Speaker 12: Yeah, all my like jeep ads are like in Spanish.

850
00:47:13,440 --> 00:47:17,640
Speaker 12: It's like selling me stuff in Spanish, like you know, laundry,

851
00:47:17,680 --> 00:47:18,640
Speaker 12: de turgen, et cetera.

852
00:47:19,320 --> 00:47:20,759
Speaker 2: I'm watching a lot of Spanish.

853
00:47:20,680 --> 00:47:23,600
Speaker 3: Well, other mobile phone commercials we get on TV here

854
00:47:23,600 --> 00:47:25,759
Speaker 3: in Spanish, so I'm just kind of vibing with it.

855
00:47:25,840 --> 00:47:27,160
Speaker 3: I'm like, yeah, let's go.

856
00:47:27,719 --> 00:47:30,680
Speaker 10: Can I going to teach me Spanish language recommendation for you?

857
00:47:31,000 --> 00:47:34,040
Speaker 11: Sure? If you haven't already watched it, It's on HBO

858
00:47:35,000 --> 00:47:39,520
Speaker 11: leven and Oh series about the Christina le Beautiful Story,

859
00:47:39,600 --> 00:47:42,840
Speaker 11: eight episode mini series in Spanish. If you love the

860
00:47:42,880 --> 00:47:46,080
Speaker 11: way that's that people in Barcelona speak Spanish.

861
00:47:46,360 --> 00:47:49,880
Speaker 1: Oh yeah, I'm a super fan of it.

862
00:47:49,920 --> 00:47:52,960
Speaker 2: But yes, I accept it.

863
00:47:53,040 --> 00:47:55,000
Speaker 10: I love the Spanish lisp, so.

864
00:47:57,000 --> 00:47:57,919
Speaker 2: I will check it out.

865
00:48:00,040 --> 00:48:04,759
Speaker 1: Yeah, okay, it's time for our weekend plans, a Boo,

866
00:48:04,840 --> 00:48:05,560
Speaker 1: let's start with you.

867
00:48:06,880 --> 00:48:09,120
Speaker 8: Well, by the time our listeners hear this, I will

868
00:48:09,120 --> 00:48:18,560
Speaker 8: be in Paris, because I'm in Paris all next week. Yes, absolutely,

869
00:48:18,719 --> 00:48:21,360
Speaker 8: I'm mostly going to be, you know, watching the sunlight

870
00:48:21,400 --> 00:48:24,440
Speaker 8: bounce off the sin, listening to croissants crunching in my mouth,

871
00:48:24,520 --> 00:48:31,319
Speaker 8: reading the directions. Yeah, on the plane I do intend on. Yeah,

872
00:48:31,520 --> 00:48:34,400
Speaker 8: I hear the bread is incredible. Yeah absolutely, that's definitely

873
00:48:34,400 --> 00:48:36,920
Speaker 8: the plan. So those are my weekend plans. I'm out

874
00:48:36,920 --> 00:48:37,920
Speaker 8: of the country on one vacation.

875
00:48:39,560 --> 00:48:41,160
Speaker 6: Listeners, you may not know, but A Boo is a

876
00:48:41,200 --> 00:48:43,640
Speaker 6: true romantic at heart, and I'm just really looking forward

877
00:48:43,680 --> 00:48:46,359
Speaker 6: to his stories post being in the most romantic city.

878
00:48:46,360 --> 00:48:47,120
Speaker 5: It's going to be lovely.

879
00:48:47,520 --> 00:48:47,719
Speaker 9: Yeah.

880
00:48:47,800 --> 00:48:49,719
Speaker 8: Yeah, I'll report back on whether I fall in.

881
00:48:49,680 --> 00:48:50,120
Speaker 10: Love or not.

882
00:48:54,560 --> 00:48:54,880
Speaker 2: Joel.

883
00:48:54,960 --> 00:48:55,360
Speaker 10: How about you?

884
00:48:55,560 --> 00:48:57,799
Speaker 3: What are you watching this weekend or doing a thing?

885
00:48:57,920 --> 00:48:58,480
Speaker 3: We're enjoying?

886
00:48:58,520 --> 00:49:00,759
Speaker 5: The Great British Bakeoff is bad?

887
00:49:02,560 --> 00:49:03,200
Speaker 3: Thank god?

888
00:49:03,480 --> 00:49:07,080
Speaker 5: She is my life and my comfort. And they start

889
00:49:07,120 --> 00:49:09,120
Speaker 5: talk with a classic challenge.

890
00:49:09,360 --> 00:49:11,240
Speaker 6: I haven't watched the episode yet, but it's a Swiss

891
00:49:11,320 --> 00:49:14,319
Speaker 6: role challenge. I've never made a Swiss role until I

892
00:49:14,360 --> 00:49:17,359
Speaker 6: thought me, I will try to make a Swiss role

893
00:49:17,400 --> 00:49:19,719
Speaker 6: at home while I watched The Great British bak Off.

894
00:49:20,239 --> 00:49:23,160
Speaker 6: That's a great cozy weekend with some tea.

895
00:49:24,200 --> 00:49:27,440
Speaker 1: Have you watched the first episode of the new season

896
00:49:27,560 --> 00:49:29,520
Speaker 1: of The New Yeah no, no, no, not yet.

897
00:49:29,800 --> 00:49:30,239
Speaker 5: I'm saving it.

898
00:49:30,280 --> 00:49:33,359
Speaker 1: Okay, you haven't watched it yet, Okay, I have. There's

899
00:49:33,400 --> 00:49:35,920
Speaker 1: a controversial technical and I'm gonna want your opinion on it.

900
00:49:37,880 --> 00:49:38,839
Speaker 2: What could you do well?

901
00:49:38,920 --> 00:49:44,279
Speaker 3: I say, if we can get some great British baking contest,

902
00:49:44,640 --> 00:49:49,040
Speaker 3: great British baking contest content on this channel, or as

903
00:49:49,080 --> 00:49:52,560
Speaker 3: we call it, British Bakeoff, I would be very excited.

904
00:49:52,600 --> 00:49:55,439
Speaker 3: So let's put a pin in that delicious Swiss role

905
00:49:55,480 --> 00:49:57,920
Speaker 3: and bring it up soon because I love to discuss

906
00:49:57,920 --> 00:49:59,200
Speaker 3: a technical challenge.

907
00:49:59,360 --> 00:50:01,880
Speaker 1: Hell yeah, common.

908
00:50:02,040 --> 00:50:04,560
Speaker 3: You always write Shrek, but what are you really doing?

909
00:50:04,680 --> 00:50:15,120
Speaker 7: I wrote that that was Aaron right, Shrek, Shrek forever

910
00:50:15,239 --> 00:50:16,160
Speaker 7: off the I.

911
00:50:18,440 --> 00:50:19,800
Speaker 3: Turned to look at what I had.

912
00:50:19,640 --> 00:50:25,880
Speaker 7: Written and it was just said, Shrek, good one rats.

913
00:50:29,960 --> 00:50:31,200
Speaker 10: Right No?

914
00:50:31,400 --> 00:50:34,040
Speaker 11: I uh well, now that Joelle has informed me that

915
00:50:34,120 --> 00:50:35,960
Speaker 11: the Great British Making Show is back, I will be

916
00:50:36,000 --> 00:50:38,760
Speaker 11: adding that to my weekend plans because that is a

917
00:50:38,800 --> 00:50:41,000
Speaker 11: favorite that my boyfriend I love to watch together. That's

918
00:50:41,000 --> 00:50:43,040
Speaker 11: a boyfriend and Carmen content.

919
00:50:44,600 --> 00:50:46,800
Speaker 10: And then I am going.

920
00:50:46,600 --> 00:50:51,319
Speaker 11: This Friday, I am today. While you're listening to this,

921
00:50:51,680 --> 00:50:53,880
Speaker 11: I'm gonna I'm going to see The Long Walk.

922
00:50:54,040 --> 00:50:54,600
Speaker 10: I'm very.

923
00:50:57,239 --> 00:50:57,759
Speaker 5: Tamilla.

924
00:50:58,960 --> 00:51:02,839
Speaker 11: I wish I wish I got to do to go

925
00:51:02,880 --> 00:51:05,360
Speaker 11: to one of the treadmill screenings. That's but unfortunately I

926
00:51:05,360 --> 00:51:08,040
Speaker 11: will be seated and I will be reclined while I

927
00:51:08,080 --> 00:51:09,720
Speaker 11: watched the Long Roll, The Long.

928
00:51:11,800 --> 00:51:14,160
Speaker 5: Rosie. How about you? What are you doing this weekend?

929
00:51:14,880 --> 00:51:17,080
Speaker 3: What am I doing this weekend? I'm going to be

930
00:51:17,120 --> 00:51:22,720
Speaker 3: trying to do a lot of chilling. I will also

931
00:51:22,800 --> 00:51:24,640
Speaker 3: probably go and see the Long Walk, though I have

932
00:51:24,719 --> 00:51:28,359
Speaker 3: heard it's very depressing. I've read the book. I've heard

933
00:51:28,360 --> 00:51:30,640
Speaker 3: it manages to keep up with the bleakness of the book.

934
00:51:30,680 --> 00:51:32,440
Speaker 3: And I've also had it may be one of the

935
00:51:32,480 --> 00:51:35,919
Speaker 3: best Stephen King adaptations that we've ever got.

936
00:51:36,440 --> 00:51:39,440
Speaker 5: Carrie like a word, Yes, carry would like.

937
00:51:39,360 --> 00:51:41,799
Speaker 2: A week's very very high bar.

938
00:51:41,960 --> 00:51:48,879
Speaker 3: I'm telling you multiple different reviewers and people that you respect. Yeah,

939
00:51:48,920 --> 00:51:52,480
Speaker 3: they say it immediately joins Shore Shank, Redemption, Green Mile.

940
00:51:52,920 --> 00:51:57,520
Speaker 3: I would also misery, you know, misery, the Shining I

941
00:51:57,560 --> 00:51:59,960
Speaker 3: love misery. I would put that definitely up there, very high.

942
00:52:00,080 --> 00:52:04,600
Speaker 3: I carry, of course. So yeah, Carrier, no love for Carrie.

943
00:52:04,680 --> 00:52:07,279
Speaker 3: I'm interested, So I'm definitely interested to see where that

944
00:52:07,320 --> 00:52:11,160
Speaker 3: will go. I will also be reading. There is an

945
00:52:11,200 --> 00:52:14,359
Speaker 3: author that I really love called Kirsten White. She's not

946
00:52:14,400 --> 00:52:18,120
Speaker 3: only a fantastic author she wrote Mister Magic to wrote Hyde,

947
00:52:18,239 --> 00:52:21,040
Speaker 3: but also she is just a really great person, so

948
00:52:21,080 --> 00:52:24,040
Speaker 3: always nice. We've done some panels together, but I always

949
00:52:24,040 --> 00:52:27,560
Speaker 3: await her books with Beta Breath. She does great, great horror,

950
00:52:27,600 --> 00:52:29,879
Speaker 3: and she has a new one that is called the

951
00:52:29,920 --> 00:52:35,000
Speaker 3: House of Quiet. So I'm very excited to check that

952
00:52:35,080 --> 00:52:37,960
Speaker 3: out because her last book, which was a queer retelling

953
00:52:38,719 --> 00:52:42,840
Speaker 3: of like Frankenstein, and then she did a queer retelling

954
00:52:42,840 --> 00:52:45,680
Speaker 3: of Dracula those which just I ate them up. So

955
00:52:45,840 --> 00:52:49,000
Speaker 3: this is about a girl whose sister is lost and

956
00:52:49,040 --> 00:52:51,799
Speaker 3: she has to go into this strange house posing as

957
00:52:51,800 --> 00:52:55,160
Speaker 3: a maid. So very gothic kind of vibes. Yeah, can't wait,

958
00:52:55,280 --> 00:52:57,879
Speaker 3: very excited, Jason, howe about you?

959
00:52:59,000 --> 00:53:02,239
Speaker 1: I'm gonna I can resist no longer. I will be

960
00:53:02,280 --> 00:53:06,480
Speaker 1: watching unknown number of the high School Catfish. It's time.

961
00:53:07,400 --> 00:53:10,960
Speaker 1: I simply must give in to the terrible temptation to

962
00:53:11,000 --> 00:53:16,520
Speaker 1: watch this horrendous story. I'm going to be uh, I'm

963
00:53:16,560 --> 00:53:20,920
Speaker 1: going to be diving into and feeding my very secretive

964
00:53:20,960 --> 00:53:27,399
Speaker 1: and very shameful true crime addiction more by watching more

965
00:53:27,440 --> 00:53:29,960
Speaker 1: YouTube content from some true crime creators that I like

966
00:53:29,960 --> 00:53:34,480
Speaker 1: about the Wendy Agelson murder case, which google it.

967
00:53:34,480 --> 00:53:36,719
Speaker 3: It's yeah, crazy crazy.

968
00:53:37,160 --> 00:53:38,960
Speaker 2: And then I'm going to be reading as well. I'm reading,

969
00:53:41,400 --> 00:53:43,480
Speaker 2: I'm reading on but that's not it, you, guys.

970
00:53:43,600 --> 00:53:45,120
Speaker 5: I just really just tell Mary.

971
00:53:45,440 --> 00:53:51,040
Speaker 6: Yeah, and I I would highly recommend reading Project Tail

972
00:53:51,120 --> 00:53:52,640
Speaker 6: Mary before seeing the movie.

973
00:53:52,680 --> 00:53:56,759
Speaker 5: And that book was fun so good. That's it's really fun.

974
00:53:56,840 --> 00:54:01,640
Speaker 1: It does move, It's great. Well, guys, that's it for

975
00:54:01,680 --> 00:54:05,000
Speaker 1: this episode. Thanks for everybody for joining us, Thanks for

976
00:54:05,120 --> 00:54:06,600
Speaker 1: listening folks out there.

977
00:54:06,640 --> 00:54:08,080
Speaker 2: We'll be back tomorrow with the biggest.

978
00:54:07,760 --> 00:54:08,279
Speaker 4: News of the week.

979
00:54:09,120 --> 00:54:13,920
Speaker 1: Bye x ray Vision is hosted by Jason Sepsion and

980
00:54:14,040 --> 00:54:16,520
Speaker 1: Rosie Night and is a production of iHeart Podcasts.

981
00:54:16,840 --> 00:54:20,400
Speaker 3: Our executive producers are Joel Monique and Aaron Kaufman.

982
00:54:20,640 --> 00:54:22,680
Speaker 2: Our supervising producer is Abu Zafar.

983
00:54:23,080 --> 00:54:27,080
Speaker 3: Our producers are Common, Laurent Dean Jonathan and Fay Wag.

984
00:54:27,120 --> 00:54:29,919
Speaker 1: Our theme song is by Brian Vasquez, with alternate theme

985
00:54:30,000 --> 00:54:31,240
Speaker 1: songs by Aaron Kaufman.

986
00:54:31,440 --> 00:54:34,799
Speaker 3: Special thanks to Soul Rubin, Chris Lord, Kenny Goodman and

987
00:54:34,880 --> 00:54:36,640
Speaker 3: Heidi our discord moderator.