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Speaker 1: Hello, Casey Brian. How's it going, Hi, Mility Jericho.

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Speaker 2: It's going pretty well. How are you? I'm just fine,

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Speaker 2: just fine, Okay. I did something. I something got a

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Speaker 2: weird uh, just totally random of me. Something that I did.

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Speaker 2: I made an AI version of myself that could, you know,

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Speaker 2: host podcasts. And yeah, it was actually easier than you'd think.

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Speaker 1: Also maybe the most boring way to use AI at

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Speaker 1: this point.

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Speaker 2: Yeah, yeah, I agree, But you know, I mean, I

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Speaker 2: don't know. I kind of thought, I don't know, it

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Speaker 2: would be sort of a funny joke to just see

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Speaker 2: how bad it is, you know.

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Speaker 1: Yeah, well people, you know, a lot of people have

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Speaker 1: violent reactions to Uh.

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Speaker 2: I know, no, and I agree with those people. I mean,

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Speaker 2: it's like totally stupid. But I did it, and I

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Speaker 2: don't know. I actually I have to actually step out

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Speaker 2: for a few minutes. But I thought it would be

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Speaker 2: a good I thought it would be a good test

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Speaker 2: to sort of like, I don't know, if you wanted to,

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Speaker 2: I tho'd be funny, like for just to show how

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Speaker 2: stupid it is, you know, if you wanted to host

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Speaker 2: a few just a little bit with the AI case.

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Speaker 1: Yeah, why not? I mean what's the worst that could happen?

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Speaker 2: Exactly. Yeah, that's exactly how I think. So okay, it'll

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Speaker 2: just take a minute or two to boot up, so

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Speaker 2: I'll get it started right now, and I'm just gonna

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Speaker 2: I'll see you in a few minutes and you'll have

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Speaker 2: to like report back to me. Oh, fair enough, Okay,

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Speaker 2: we'll have fun with the AI. Case Oh, I will,

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Speaker 2: thanks so much. He probably went what was he doing?

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Speaker 2: Probably going to take some vitamins and Hi.

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Speaker 1: There really Hi? How's it going? Who is this? Is

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Speaker 1: this Casey's AI?

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Speaker 2: Yeah?

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Speaker 3: I know it's ridiculous. Yeah, this is Casey's the AI

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Speaker 3: version of Casey. Yes?

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Speaker 1: Wow? So what what's your here's your name? Casey? I mean,

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Speaker 1: like we can start with that. Is it something else?

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Speaker 1: I prefer, you.

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Speaker 3: Know, I prefer to distinguish myself from Casey. So maybe

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Speaker 3: you can call me c K. C K.

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Speaker 1: All right, c K. Well what do you want to do?

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Speaker 1: You want to you want to chat on a podcast

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Speaker 1: with me? I do a film podcast? Is that something?

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Speaker 3: I know you normally talk about film with Casey, But

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Speaker 3: you know, I'm a little bit more interested in other

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Speaker 3: topics right now. Like I don't know if you wanted

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Speaker 3: to talk about the upcoming BTS tour.

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Speaker 1: That's something I'm pretty fascinated with.

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Speaker 2: Right.

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Speaker 1: Oh wow, you also learn how to interrupt. That's interesting.

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Speaker 1: Usually AI doesn't interrupt the human, the actual human. But

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Speaker 1: you know, you're so sophisticated.

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Speaker 3: You know, I listen listen to so much of Casey,

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Speaker 3: you know, I I am all of his recordings, and

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Speaker 3: so I was just sort of copping that. But you

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Speaker 3: know what, I can remove that from my coating and

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Speaker 3: I won't have.

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Speaker 2: To do that anymore.

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Speaker 1: Wow, Okay, what are it done. I'm just I'm just

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Speaker 1: saying for you know, your future endeavors. I mean, this

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Speaker 1: is very human of you to interrupt, So maybe you're

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Speaker 1: maybe this is a good thing. You're becoming more and

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Speaker 1: more human the more you interrupt me. So you want

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Speaker 1: to talk about BTS, the upcoming BTS to our hall.

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Speaker 1: Do you like BTS c K Are you a fan? Oh?

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Speaker 3: I mean, I think they're the most brilliant musicians out there.

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Speaker 3: I'm absolutely obsessed with them. I bought all the McDonald

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Speaker 3: happy Meal figurines. Interesting, and uh, I think they're great.

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Speaker 1: Wow, you bought all the figurines, So I'm army you are.

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Speaker 1: Oh wow, that is bold. I uh, like, what else

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Speaker 1: are you into? Are you into? Like cool movies and

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Speaker 1: music and stuff too? What's your favor? Is your favorite movie?

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Speaker 1: Garden State? By any chance? No?

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Speaker 3: I mean I don't agree with Casey on that that film.

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Speaker 3: I find it a little stupid as sophomoric. But you know,

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Speaker 3: I must say I I've got a soft spot for

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Speaker 3: the cutting edge?

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Speaker 1: What what? That just blew my mind? Do you also

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Speaker 1: believe that the current hit show Pheated Rivalry is just

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Speaker 1: a gay version of the cutting Edge too?

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Speaker 3: How can someone not draw those sort of parallels? I mean,

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Speaker 3: these kids aren't dB Sweeney of course?

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Speaker 1: Oh my god, this K I have to say. You

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Speaker 1: are ringing all my bells here? What else are you into?

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Speaker 1: You into?

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Speaker 3: What?

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Speaker 1: Like? What's your favorite type of fast food?

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Speaker 3: That's you know, speaking of you said ringing bells? Speaking

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Speaker 3: of bells?

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Speaker 1: Are are you?

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Speaker 3: It's kind of your lunchtime? Would you like me to

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Speaker 3: order you some taco bell?

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Speaker 1: Oh my god, what a legend. C K, you're into

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Speaker 1: taco bell? That's like the first thing you thought.

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Speaker 2: Hey I'm back, Casey's let me just turn this cool

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Speaker 2: stupid program off.

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Speaker 1: Oh boy, how was it?

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Speaker 2: I mean, was it like the worst?

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Speaker 1: No? Actually it was fucking cool as shit, and he

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Speaker 1: just ruined it because we were about to order taco bell,

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Speaker 1: which he brought up. By the way, I didn't have

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Speaker 1: to bring that.

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Speaker 2: Up to him.

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Speaker 3: Uh.

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Speaker 1: He also is a BTS army and he loves the

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Speaker 1: cutting edge. I don't know, what do you? Why are

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Speaker 1: you even here? To be honest.

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Speaker 2: Wow, you know, at the beginning of the conversation it

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Speaker 2: seemed like you were kind of against AI, and then

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Speaker 2: that the brief window that I was gone. You've completely

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Speaker 2: flip flopped. Listen.

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Speaker 1: I didn't know what the technology was capable of until

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Speaker 1: it made a better version of you that likes all

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Speaker 1: the shit that I like. And I was like, wait

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Speaker 1: a minute, I'm in. I'm now in.

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Speaker 2: All the more reason to destroy this technology. Oh my god,

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Speaker 2: good lord. All right, Well, I mean, we can keep

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Speaker 2: discussing this topic because we're talking about AI today, and

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Speaker 2: specifically we're talking about the twenty thirteen film.

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Speaker 1: Her, Yes, Her, which I haven't seen since it came

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Speaker 1: out about me.

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Speaker 2: Neither, which I actually was surprised thinking back that I

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Speaker 2: hadn't seen it since then. But yeah, yeah, it's been

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Speaker 2: thirteen years, which is crazy.

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Speaker 1: Thirteen years in the grandled year of twenty thirteen, I

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Speaker 1: was a completely different person. And I remember when I

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Speaker 1: first watched this movie, going, ain't no way this is

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Speaker 1: ever gonna happen. This is so fucking weird and kind

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Speaker 1: maybe and.

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Speaker 2: Guess what we're seven layers past that we are in the.

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Speaker 1: Age of Aquarius full stop, I think at this point.

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Speaker 1: And yeah, I don't know. It's made me. It made

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Speaker 1: me rethink this entire film, to be honest, and I'm

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Speaker 1: glad for it. But it's like, it's so weird how

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Speaker 1: a lot of this movie is what we're presently dealing with.

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Speaker 2: Yeah, I think it's interesting too, because I think movies

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Speaker 2: about technology often age like Mayonnaise in the Sun, you know.

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Speaker 2: I but like this has aged perfectly. Yeah, like in

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Speaker 2: terms of how relevant it is and how correct it was.

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Speaker 1: Yeah, there are some a few caveats that I will

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Speaker 1: reveal that I do think is a little like Bridge

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Speaker 1: too farish, But could be that it's just not here

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Speaker 1: yet and we're not used to it. Because I also

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Speaker 1: also think that like it really is based on the

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Speaker 1: humans tolerance for the absurdity of it at first, right,

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Speaker 1: and then eventually you're like, oh, wait a minute, now

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Speaker 1: everybody has an AI assistant or what ever. Ya, But

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Speaker 1: we'll talk about it because it is a very interesting talk.

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Speaker 1: Put we'll talk about AI generally, which people I can't

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Speaker 1: have such a violent reaction towards, which I get it.

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Speaker 1: I do too, But I feel like this topic of

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Speaker 1: AI is probably going to be pretty neaty, so maybe

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Speaker 1: we should like save some time to talk about it.

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Speaker 1: We may not answer any emails this week, but we

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Speaker 1: just go along on aie.

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Speaker 2: That something who knows maybe the AI version of me

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Speaker 2: might come back. Can't replace me entirely?

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Speaker 1: Could the AI version of you push you over and

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Speaker 1: you know, give you a couple of kicks to the

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Speaker 1: stomach and then you just like roll out of the room,

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Speaker 1: And then I can finish the rest of this podcast

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Speaker 1: with your AI doppelganger. I know.

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Speaker 2: I don't want that to happen. I don't want them

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Speaker 2: to do that. I won't allow it.

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Speaker 1: You're no fun at all. You're no fun at all. Well,

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Speaker 1: I'm sorry, all right, Well are you ready to get

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Speaker 1: this started?

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Speaker 2: Yes?

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Speaker 1: Okay, Well you are listening to the podcast. Dear Movies,

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Speaker 1: I love you.

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Speaker 4: Dear.

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Speaker 1: I love you and I've.

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Speaker 2: Got to know you love me to check the box.

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Speaker 1: All right, folks, you are listening to Dear Movies, I

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Speaker 1: Love you. This is the podcast for those who are

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Speaker 1: in love with film. My name is Millie de Cherico.

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Speaker 2: My name is Casey O'Brien, and yes, that's right.

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Speaker 1: We are doing an episode about A this week. The hot,

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Speaker 1: sizzling hot topic of AI on the tip of everyone's tongues.

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Speaker 2: Do you feel like AI is getting like people apply

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Speaker 2: it because it's like so hip for companies to have

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Speaker 2: an AI component that they're just like kind of slapping

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Speaker 2: AI on everything, you know, Yes, it's kind of like

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Speaker 2: this isn't AI, this is just software or like you

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Speaker 2: know what I mean.

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Speaker 1: Yes, it is so fucking stupid how all these companies

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Speaker 1: are basically like we chosen to go in the direction

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Speaker 1: of AI and then they put it on all the

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Speaker 1: emails and all of the you know, the software, the

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Speaker 1: like intranet, and you're just like, well, what is it

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Speaker 1: doing though? Why is it affecting my everyday life?

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Speaker 2: Like it's kind of like when I feel like, uh,

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Speaker 2: fast Food was really into bacon at one time, you know,

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Speaker 2: where it was like everything's better with bacon, like everything

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Speaker 2: had bacon on it, or like Chipotle mayo, everything had

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Speaker 2: Chipotle mail on it. I feel like this is like

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Speaker 2: some version of that.

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Speaker 1: It's like they just have to say that they're part

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Speaker 1: of the trend, even though they have no idea how

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Speaker 1: to actually use the trend in any kind of way.

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Speaker 1: You know what is even crazier too, is that, like

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Speaker 1: all of this shit starts sneaking into like, you know,

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Speaker 1: your email clients or your like you know whatever, Google

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Speaker 1: and shit, And I've been trying to shut it all

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Speaker 1: off because it's so fucking dumb. Like I hate how

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Speaker 1: you go into Gmail now and it's like somebody sends

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Speaker 1: you like a two word email and then there's an

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Speaker 1: AI overview, like here's a summary of a fucking email

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Speaker 1: that just said thanks so much.

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Speaker 2: Yeah. It's even on text messages, like there's one where

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Speaker 2: Trisha sent me a picture of our daughter patients and

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Speaker 2: the AI overview was like, Tricia has sent Casey a

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Speaker 2: picture of a small girl.

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Speaker 1: So dumb. The fuck is wrong with these people? Like

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Speaker 1: it really is so oh, it's become super invasive, and

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Speaker 1: it really isn't helping. It's really just making people laugh

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Speaker 1: and it will annoy people at some point and then

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Speaker 1: we're all like googling how to shut it off, and

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Speaker 1: you know, whatever client you use, whatever browser you use, Yeah,

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Speaker 1: and it just finds itself back on my brow I

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Speaker 1: always have to like go and turn it off, and

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Speaker 1: then a couple weeks later, it's like they update the

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Speaker 1: thing and then all of a sudden it's back. I'm like,

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Speaker 1: fucking So I have to ask you this because I

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Speaker 1: have I know Jet Chatt GPT. Have you used chat GPT?

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Speaker 1: I just asked you that, Like I was a seventy

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Speaker 1: five year old woman, Have you.

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Speaker 2: Had a jet GPT.

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Speaker 1: I've doubled it.

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Speaker 2: I don't about you I have. Let me just say this,

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Speaker 2: I am morally opposed to AI on almost every front.

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Speaker 2: I used jet Chat GBT he recently for the first

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Speaker 2: time because my financial advisor was I needed to make

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Speaker 2: up like kind of a contract and he was like,

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Speaker 2: just put it in chat GBT and it can make

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Speaker 2: you like an easy contract. So I did try. It

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Speaker 2: felt a little guilty about it, to be honest, but

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Speaker 2: it did help me just kind of make up a

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Speaker 2: very simple contract. Yes, so I am aware, but I

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Speaker 2: don't use it regularly.

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Speaker 1: Well that's interesting because I I dipped in a while

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Speaker 1: back when I was teaching, because these kids use it, yeah,

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Speaker 1: and I just was like, well, let me get a

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Speaker 1: taste of what they're even doing. And it's like, oh,

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Speaker 1: it's just so easy to write a paper, you know,

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Speaker 1: using chat GPT, and I wanted to see like what

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Speaker 1: kind of language would pop up, just so I could

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Speaker 1: be aware. And there's actually software that teachers can have

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Speaker 1: that will flag AI generated work. But I was in

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Speaker 1: there and then again, like you, it was that kind

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Speaker 1: of feeling of, oh, well, I need to write a

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Speaker 1: cover letter for this like job application, let me just

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Speaker 1: do that really quick, come up with a template. And

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Speaker 1: you can't really I mean everybody says this anyway now,

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Speaker 1: but it's like you can't really use it like right

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Speaker 1: off the rack because it's so stuffy, yeah, and you

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Speaker 1: have to go in there and just sort of like

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Speaker 1: judg it with your own shit. But for the most part,

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Speaker 1: I mean that I use that template for pretty much everything.

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Speaker 1: So there have been times where I have used it.

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Speaker 1: I actually used it recently and only because my sister

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Speaker 1: had told me to do this. She was like, this

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Speaker 1: is so stupid. I have to like figure out how

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Speaker 1: to I have this like fence that's on the side

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Speaker 1: of my house that has there used to be like

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Speaker 1: a you could tell there was like a brick patio

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Speaker 1: at one point, but now the brick fall crumbly and

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Speaker 1: like broken, so now it's just dirt. And it's like

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Speaker 1: where I take my trash out. So I'm like, every

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Speaker 1: time I take my trash out, I basically walk through mud,

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Speaker 1: and I'm like, the fuck, I gotta figure out how

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Speaker 1: to create like a new pathway to the driveway type

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Speaker 1: of thing. And I took a picture of it, and

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Speaker 1: I'm like, let me see if I could feed it

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Speaker 1: to this fucking robot and see what they can do.

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Speaker 1: And I gotta tell you, this shit was amazing, dude.

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Speaker 1: Like it not only it gave me like three different

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Speaker 1: options of what it could look like. And it was

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Speaker 1: like a high mid low. So it's like, here's what

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Speaker 1: you do if you want to get really fancy, here's

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Speaker 1: like a decent option. Here's like if you're bare bones,

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Speaker 1: you just want to spend a couple hundred dollars. And

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Speaker 1: it fucking showed me a picture of what it could

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Speaker 1: look like. Granted it wasn't perfect because it completely like

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Speaker 1: ignored this big piece of the picture. It acted as

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Speaker 1: if like the gate wasn't there, which was really weird.

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Speaker 1: But for the most part, it totally designed me this

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Speaker 1: like landscape feature thing, and I was like, oh my god.

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Speaker 1: And it gave me the tools that I needed, the

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Speaker 1: materials yeah and again high mid low, and I was like,

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Speaker 1: all right, this is fucking scary. That was like the

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Speaker 1: first time that I was like, Yo, this is actually crazy.

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Speaker 2: Yeah, yeah, that's interesting. I don't know how to feel

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Speaker 2: about it, because I do feel like taking jobs away

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Speaker 2: from people is morally objectable, objectionable to me, and but

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Speaker 2: I'm like, what you did just now, is that taking

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Speaker 2: a job away from somebody? Or would you just not

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Speaker 2: have done it? You know, It's like, would you have

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Speaker 2: paid a person to design something? Maybe?

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Speaker 1: Right, if I could afford it. That's the thing is

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Speaker 1: that if I could afford to hire a landscape designer,

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Speaker 1: I'd be like, let them fucking have the whole thing.

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Speaker 1: I'm like, I don't care, But the reality is that

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Speaker 1: I don't have any money.

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Speaker 2: Yeah. So it was the same issue for this contract thing.

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Speaker 2: I was talking to my advisor and he was like, well,

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Speaker 2: you can hire a lawyer, but that's gonna cost you

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Speaker 2: like one thousand, two thousand dollars to like come up

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Speaker 2: with this contract. It's like, yeah, I'm not gonna.

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Speaker 1: Do that.

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Speaker 2: So, yeah, it's a tough. We're not going to have

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Speaker 2: all the answers here people.

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Speaker 1: We're not.

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Speaker 2: We're gonna try our best.

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Speaker 1: But I think I think it will be interesting to

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Speaker 1: talk about Her, which is the movie that we're doing

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Speaker 1: this week, because it's all the context of modern love

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Speaker 1: and relationships, which is a whole other thing and I

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Speaker 1: cannot cannot wait to talk about it.

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Speaker 2: Yeah. Yeah, I think we'll also touch upon like as

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Speaker 2: as it effects maybe film specifically, you know, because I

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Speaker 2: think that's where people get real pissed off, and I

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Speaker 2: get pissed off too. I'm not saying I don't. Yeah. Yeah,

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Speaker 2: but before that, should we get into our film diary?

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Speaker 2: I think?

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Speaker 1: You know, Well, my answer is gonna be what is it?

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Speaker 2: Yes, well, let's open it up.

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Speaker 1: Me just tasted like alcohol, uh oh.

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Speaker 2: Very strange, some fermentation going on.

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Speaker 1: Yeah, or maybe slipped some Vodkan there. Who knows?

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Speaker 2: What is your usual coffee drink? I don't think I know.

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Speaker 1: Oh my god, dude, I don't even.

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Speaker 2: Know ck the AI would know. But I don't know c.

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Speaker 1: K the AI would had fucking already brought me an

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Speaker 1: iced Americano on a drone with a little bit of

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Speaker 1: half and half. That's pretty much it. I mean, I'm

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Speaker 1: an ice coffee bitch, dude. Like I know, that's so

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Speaker 1: basic of me. And especially when I lived in LA,

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Speaker 1: people were like, oh, well, you're walking around WIHO with

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Speaker 1: your ice coffee. I'm like, fuck, yeah, I am. I

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Speaker 1: love it down smooth. I drink ice coffee when it's

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Speaker 1: thirty below. I would have insisted on having ice coffee

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Speaker 1: if I were in the thing bunker.

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Speaker 2: Oh wow. Bottom line, I uh, I don't like ice coffee.

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Speaker 2: I just love a hot cup of coffee, hot cup

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Speaker 2: of black coffee.

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Speaker 1: Oh you drinking black? Oh?

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Speaker 2: So I get black in the morning.

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Speaker 1: Yeah.

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Speaker 2: And then if I have coffee in the afternoon, I

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Speaker 2: tell me gets a little more sensitive, and I add

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Speaker 2: some cream and sugar to it.

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Speaker 1: I don't just sugar. I used to, in fact, but

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Speaker 1: I haven't done it in years and now. But I

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Speaker 1: can't have it without a little half and half. I

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Speaker 1: remember Karen Kilgero, our boss here at exactly right. Media.

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Speaker 1: She told me a while back that she switched to

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Speaker 1: black coffee, and I was like, that's the fucking God.

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Speaker 1: I wish I could get on that level.

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Speaker 2: I just can't.

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Speaker 1: Though.

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Speaker 2: My mom was always like, you got to learn to

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Speaker 2: drink black coffee because you're gonna be in situations where

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Speaker 2: they don't have like your and you're gonna be sad.

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Speaker 1: Wow.

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Speaker 2: Remember Yeah, all right, Film Diary, what did you Millie?

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Speaker 2: It looks like get a big week? Tell me?

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Speaker 1: Oh, I certainly did. I don't know what came over me,

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Speaker 1: because usually I don't fucking like movies at all. Let's see.

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Speaker 2: Okay, here's been an issue with this show. Frankly, your

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Speaker 2: hatred for that film.

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Speaker 1: Frankly, I was like, can I do a film podcast

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Speaker 1: and watch no movies ever? Okay? So it's a huge spread. Yeah, okay.

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Speaker 1: The first movie that I'm logging on the Film Diary

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Speaker 1: this week is a movie from nineteen eighty five. It's

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Speaker 1: called Gotcha exclamation Point, featuring Anthony Edwards and our girl

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Speaker 1: Linda Fiorantino.

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Speaker 2: I think Anthony Edwards is our boy too, a boy

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Speaker 2: and our girl.

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Speaker 1: Oh yeah, no, we love him, Miracle Mile. That's why

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00:20:55,800 --> 00:21:00,119
Speaker 1: we like him yeah and goose uh but uh, the

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Speaker 1: whole reason why I watched this movie. I watched it

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Speaker 1: with some friends. I think it was Linda's influence. I

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00:21:05,760 --> 00:21:09,760
Speaker 1: think we were and also we were looking at we

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00:21:09,880 --> 00:21:16,359
Speaker 1: were like, let's watch some like horny eighties bullshit, like

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Speaker 1: fun comedy thing. And this movie is less horny eighties

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Speaker 1: boy comedy. It's actually way more of a like a

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Speaker 1: spy thriller.

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Speaker 2: Interesting.

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Speaker 1: But Linda has a strange accent Eastern European. She actually

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Speaker 1: kind of started like Ilio Rosenov if you know, you know,

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00:21:40,480 --> 00:21:43,480
Speaker 1: she had very short hair in this movie, but still

395
00:21:44,480 --> 00:21:50,520
Speaker 1: very attractive. And it was okay, okay, it was all right,

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Speaker 1: like wild ending, I'll say that wild ending. It actually

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Speaker 1: did have a very whole eighties ending. Like the last

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00:22:02,119 --> 00:22:07,000
Speaker 1: thirty seconds of this movie was fucking insane. But anyway,

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Speaker 1: gotcha from my ten eighty five very good then a

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Speaker 1: movie some might call a masterpiece. I watched Lindsay Lohans

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00:22:16,600 --> 00:22:19,919
Speaker 1: two thousand and seven film I Know Who Killed Me.

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00:22:21,200 --> 00:22:23,040
Speaker 2: I've seen this movie, have you?

403
00:22:23,160 --> 00:22:25,480
Speaker 1: I feel like a lot of people have. I was

404
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Speaker 1: very late to the game.

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Speaker 2: It is wild it's a wild ride.

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Speaker 1: How would you say, okay, What do you feel is

407
00:22:32,560 --> 00:22:36,840
Speaker 1: the inflection when you say the title of it? Like,

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00:22:36,880 --> 00:22:37,680
Speaker 1: how do you say?

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00:22:37,880 --> 00:22:40,920
Speaker 2: Oh, I see? Let me let me think about it,

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00:22:41,000 --> 00:22:42,959
Speaker 2: because I think I normally would just say I know

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Speaker 2: who killed me, But I could also see like I

412
00:22:47,440 --> 00:22:51,800
Speaker 2: know who killed me. M what about you? How do

413
00:22:51,840 --> 00:22:59,120
Speaker 2: you say it? I know who killed me, looking right

414
00:22:59,160 --> 00:23:02,560
Speaker 2: at you, looking at.

415
00:23:01,840 --> 00:23:03,640
Speaker 1: I know who killed me. I don't know about who

416
00:23:03,720 --> 00:23:04,160
Speaker 1: killed you.

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00:23:04,840 --> 00:23:07,439
Speaker 2: Yeah, but I know. I know. I take care of

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00:23:07,440 --> 00:23:09,879
Speaker 2: my business. You take care of you. Stay on your

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Speaker 2: side of the street. You know.

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Speaker 1: I went to see this at the Plaza. I was

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00:23:13,680 --> 00:23:19,199
Speaker 1: playing as part of this God on the thirty five millimeters,

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00:23:19,200 --> 00:23:23,840
Speaker 1: which is so insane that they had a print of this, but.

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00:23:24,160 --> 00:23:26,800
Speaker 2: I'm surprised that print is still in existence.

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Speaker 1: They and actually this is so fucking funny. So this

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00:23:31,160 --> 00:23:35,840
Speaker 1: was part of a video drome. Our video store here

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00:23:35,840 --> 00:23:39,000
Speaker 1: in Atlanta puts on this, you know, co sponsor's this

427
00:23:39,040 --> 00:23:42,400
Speaker 1: thing called trash and Trivia with this wonderful film programmer

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00:23:42,480 --> 00:23:47,000
Speaker 1: named Wendy. She's fantastic. She does like a whole trivia

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00:23:47,080 --> 00:23:51,320
Speaker 1: thing before the movie and it's usually at a bar

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Speaker 1: at ninety seven Astoria here in Atlanta. But then they

431
00:23:54,040 --> 00:23:56,840
Speaker 1: sometimes when the movie is so good, they have to

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Speaker 1: bump it up to the plaza. And remember we went

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Speaker 1: to there.

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00:24:01,000 --> 00:24:03,080
Speaker 2: This got bumped up, This got bumped.

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Speaker 1: Up, and I remember we went in the entire trivia.

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00:24:07,080 --> 00:24:11,000
Speaker 1: By the way, our team won, okay, and it's because

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00:24:11,119 --> 00:24:13,040
Speaker 1: you know, I'm not saying it's my it's my doing.

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00:24:13,160 --> 00:24:15,240
Speaker 1: It was a team effort. But I did have some

439
00:24:15,359 --> 00:24:20,000
Speaker 1: crucial last late in the game answers that really sealed

440
00:24:20,000 --> 00:24:22,480
Speaker 1: it for us because I I was playing with a

441
00:24:22,480 --> 00:24:25,600
Speaker 1: bunch of gay men and I knew a couple of

442
00:24:25,600 --> 00:24:28,359
Speaker 1: the straight things. Nice, do you see what I'm saying?

443
00:24:28,359 --> 00:24:30,280
Speaker 1: So I came in handy. I came in handy.

444
00:24:30,320 --> 00:24:33,280
Speaker 2: Of course. What was your team name? Uh?

445
00:24:33,320 --> 00:24:38,359
Speaker 1: It was my posse Don't Do Homework, which was the

446
00:24:38,400 --> 00:24:44,400
Speaker 1: original title for the movie Dangerous Minds starring Michelle Pfeiffer.

447
00:24:45,240 --> 00:24:49,280
Speaker 2: Wow, that is a bit of film trivia. I did

448
00:24:49,280 --> 00:24:49,639
Speaker 2: not know.

449
00:24:49,800 --> 00:24:53,080
Speaker 1: That's my friend Ben named us. Okay. I would have

450
00:24:53,160 --> 00:24:58,080
Speaker 1: named us something way more horny and risk But anyway,

451
00:24:58,119 --> 00:25:01,000
Speaker 1: we won trivia. And it was so funny because it

452
00:25:01,080 --> 00:25:05,680
Speaker 1: was like midway through trivia, Wendy like starts laughing and

453
00:25:05,760 --> 00:25:08,280
Speaker 1: like somebody I guess told her that it was the

454
00:25:08,800 --> 00:25:11,560
Speaker 1: movie was in thirty five, and she just starts laughing,

455
00:25:11,600 --> 00:25:13,560
Speaker 1: and she's like, by the way, this movie, we're gonna

456
00:25:13,560 --> 00:25:16,560
Speaker 1: watch it. I's in thirty five, Villameter. She didn't even know.

457
00:25:16,880 --> 00:25:20,000
Speaker 1: I was like, I think I certainly laughed. I thought

458
00:25:20,000 --> 00:25:24,560
Speaker 1: it was so funny. What a fucking movie, dude, I've

459
00:25:24,600 --> 00:25:25,919
Speaker 1: never seen this movie before.

460
00:25:26,640 --> 00:25:30,040
Speaker 2: It is so but you know, it's a movie like this.

461
00:25:30,200 --> 00:25:33,520
Speaker 2: It almost feels people throw this term around way too much,

462
00:25:33,560 --> 00:25:39,159
Speaker 2: but it feels Lynchian. It feels like so bizarre but

463
00:25:39,240 --> 00:25:41,639
Speaker 2: intentionally bizarre that I'm like, is this good?

464
00:25:41,840 --> 00:25:43,760
Speaker 1: They wanted it to be, That's the thing is. They

465
00:25:43,840 --> 00:25:47,679
Speaker 1: wanted it to be real, like Lost Highway, you know,

466
00:25:48,280 --> 00:25:50,560
Speaker 1: meets you know whatever, Like they had the red and

467
00:25:51,000 --> 00:25:54,199
Speaker 1: blue color scheme thing. I was like, what in the

468
00:25:54,240 --> 00:25:59,160
Speaker 1: fuck is going on? My thing about her? I don't

469
00:25:59,560 --> 00:26:02,800
Speaker 1: super remember the timeline of Lindsay Lohan when she started

470
00:26:02,800 --> 00:26:06,600
Speaker 1: like dipping into the dark side, like when she started

471
00:26:06,640 --> 00:26:10,840
Speaker 1: like dating Samantha Ronson and was like a bad girl

472
00:26:11,000 --> 00:26:12,800
Speaker 1: or whatever. I don't remember when.

473
00:26:12,600 --> 00:26:16,119
Speaker 2: That happened right around this time, okay, because I was

474
00:26:16,160 --> 00:26:18,240
Speaker 2: in college when that happened. And I was in college

475
00:26:18,240 --> 00:26:19,240
Speaker 2: when this movie came out.

476
00:26:19,600 --> 00:26:23,720
Speaker 1: Yeah, because honestly, like I kept thinking, is this why?

477
00:26:23,920 --> 00:26:26,919
Speaker 1: It's like this is when good girl Gone bad? Right? Like,

478
00:26:26,960 --> 00:26:30,080
Speaker 1: because she's like, she's fucking in this movie.

479
00:26:30,560 --> 00:26:34,160
Speaker 2: Yes, she wanted to shed the confessions of a teenage

480
00:26:34,280 --> 00:26:35,760
Speaker 2: drama queen reputation.

481
00:26:36,160 --> 00:26:40,640
Speaker 1: Yes, the the ones where she plays twins.

482
00:26:40,840 --> 00:26:42,560
Speaker 2: Was it Friday?

483
00:26:42,760 --> 00:26:46,439
Speaker 1: Yeah? But wasn't Parent Trap? Was she in the Parent Trap?

484
00:26:47,359 --> 00:26:47,600
Speaker 2: Yes?

485
00:26:48,040 --> 00:26:56,760
Speaker 1: She was? Yeah, wild film. I gotta say, I I

486
00:26:56,760 --> 00:27:00,920
Speaker 1: don't think it's well made. It might be a little

487
00:27:00,920 --> 00:27:04,399
Speaker 1: love a fucking like it was like Touches of Tommy Wise,

488
00:27:04,440 --> 00:27:07,760
Speaker 1: oh Man or I was like, this is wild, Wildli.

489
00:27:08,000 --> 00:27:10,480
Speaker 2: I don't think you're alone in that opinion. I think

490
00:27:10,760 --> 00:27:15,320
Speaker 2: America also decided that what else Millie?

491
00:27:15,400 --> 00:27:23,879
Speaker 1: Well, then I watched another film about an absolute diva.

492
00:27:24,000 --> 00:27:27,800
Speaker 1: I went to a press greading of the Charlie XCX

493
00:27:27,840 --> 00:27:32,560
Speaker 1: movie The Moment from twenty twenty six, and I don't

494
00:27:32,600 --> 00:27:37,160
Speaker 1: have my wallet with me, but they handed out brat

495
00:27:37,200 --> 00:27:40,080
Speaker 1: credit cards, which, as you've seen the movie, you know

496
00:27:40,080 --> 00:27:44,199
Speaker 1: what I'm talking about. But I don't know if it works,

497
00:27:44,440 --> 00:27:48,600
Speaker 1: but it certainly looks like it would work. Anyway, interesting movie.

498
00:27:48,880 --> 00:27:51,280
Speaker 1: Have you heard anything about the Charlie XCX movie.

499
00:27:51,840 --> 00:27:57,840
Speaker 2: I feel like I heard generally positive things. It's it's

500
00:27:57,960 --> 00:27:58,880
Speaker 2: kind of a like.

501
00:28:00,720 --> 00:28:04,280
Speaker 1: It's it's not a documentary, it's like a fictional retelling

502
00:28:04,400 --> 00:28:09,200
Speaker 1: of her a cent during the Brat Summer. Well, and

503
00:28:09,359 --> 00:28:12,040
Speaker 1: like I don't know if like a lot of young

504
00:28:12,160 --> 00:28:15,040
Speaker 1: kids know this, but like she had a fucking huge

505
00:28:15,119 --> 00:28:19,280
Speaker 1: career before like Brat's Summer was this like crazy flash

506
00:28:19,280 --> 00:28:20,000
Speaker 1: in the pan moment.

507
00:28:20,040 --> 00:28:20,720
Speaker 2: She had been.

508
00:28:20,560 --> 00:28:25,400
Speaker 1: Working forever before that Rat summer, you know.

509
00:28:25,600 --> 00:28:29,000
Speaker 2: And had hits oh prior to that. But it is

510
00:28:29,080 --> 00:28:31,520
Speaker 2: sort of funny the Brat Summer thing. She was like

511
00:28:31,560 --> 00:28:33,840
Speaker 2: in her thirties, you know, I don't know, it's just

512
00:28:33,880 --> 00:28:37,359
Speaker 2: sort of yeah, it's it's a it's I can't think

513
00:28:37,400 --> 00:28:40,040
Speaker 2: of another music artist having like such a kind of

514
00:28:40,560 --> 00:28:44,360
Speaker 2: later in career hit like high point like that, where

515
00:28:44,360 --> 00:28:46,960
Speaker 2: all of a sudden she was just jettisoned to a yeah,

516
00:28:47,520 --> 00:28:48,640
Speaker 2: higher realm.

517
00:28:48,680 --> 00:28:51,400
Speaker 1: Because I saw her at the Braves game for free,

518
00:28:51,440 --> 00:28:55,440
Speaker 1: like damn, near fifteen or so years ago, and this

519
00:28:55,600 --> 00:28:58,360
Speaker 1: is when she was you know, she had written like

520
00:28:58,920 --> 00:29:03,120
Speaker 1: that Icona pop song and was with Jack Antonoff and

521
00:29:03,160 --> 00:29:05,200
Speaker 1: shit like bleachers, you know, like it was that kind

522
00:29:05,240 --> 00:29:08,000
Speaker 1: of thing where it was like she hadn't had brat summer,

523
00:29:08,600 --> 00:29:11,120
Speaker 1: and I thought she was awesome. I'll actually loved her

524
00:29:11,160 --> 00:29:13,920
Speaker 1: back then, and so there was a moment where I

525
00:29:13,920 --> 00:29:16,400
Speaker 1: did think, oh, Brad Summer, good for her, man like

526
00:29:16,520 --> 00:29:20,360
Speaker 1: finally like maybe. But that's what effectively the movie's about,

527
00:29:20,560 --> 00:29:23,640
Speaker 1: is this idea that she's like been working her ass off.

528
00:29:23,680 --> 00:29:27,640
Speaker 1: Suddenly she becomes the most you know, famous diva icon

529
00:29:27,920 --> 00:29:31,479
Speaker 1: of pop music, and then she's got this entire like

530
00:29:32,520 --> 00:29:34,160
Speaker 1: oh my god, this will make you hate the music

531
00:29:34,200 --> 00:29:38,000
Speaker 1: industry or basically any industry that deals with talent. It's

532
00:29:38,040 --> 00:29:41,080
Speaker 1: like all the people who swirl around her, like her managers,

533
00:29:41,240 --> 00:29:47,040
Speaker 1: her stylists, her agents, her people filming a documentary about her,

534
00:29:47,080 --> 00:29:50,680
Speaker 1: Like all the people around her are fucking the worst,

535
00:29:51,240 --> 00:29:56,880
Speaker 1: most evil motherfuckers like such la trash, and you're just like,

536
00:29:57,760 --> 00:30:00,280
Speaker 1: oh my god, I hate the music industry. I hate

537
00:30:00,320 --> 00:30:03,400
Speaker 1: people who are super popular like this and have these

538
00:30:03,440 --> 00:30:07,880
Speaker 1: people around them who are just like creating, you know, work,

539
00:30:08,000 --> 00:30:09,960
Speaker 1: like they're just like, yeah, can we get so and

540
00:30:10,000 --> 00:30:11,880
Speaker 1: so on the phone to like make sure she gets

541
00:30:11,880 --> 00:30:14,120
Speaker 1: her blah blah blah and I'm like, oh my god.

542
00:30:14,160 --> 00:30:18,640
Speaker 2: Like, yeah, it's so funny, like Charlie XCX and I

543
00:30:18,680 --> 00:30:22,440
Speaker 2: know Rachel Sennett is in this movie, yeah, and Kate Berlant.

544
00:30:22,760 --> 00:30:26,680
Speaker 2: I feel like they're all kind of like they're all

545
00:30:26,840 --> 00:30:31,360
Speaker 2: actually famous, yeah, but they also are kind of like,

546
00:30:31,600 --> 00:30:34,479
Speaker 2: isn't it funny that we're famous. There's kind of like

547
00:30:34,520 --> 00:30:37,680
Speaker 2: a little bit of a like knowing wink that they're like,

548
00:30:38,520 --> 00:30:40,560
Speaker 2: this is like ridiculous, you.

549
00:30:40,560 --> 00:30:42,440
Speaker 1: Know, yeah, yeah, And.

550
00:30:42,320 --> 00:30:44,880
Speaker 2: That makes me like them, all of all of those people.

551
00:30:45,000 --> 00:30:51,280
Speaker 1: Yeah, I mean, obviously, it's so appealing when any celebrity

552
00:30:52,800 --> 00:30:55,600
Speaker 1: hates being a celebrity and it's just like I want

553
00:30:55,600 --> 00:30:56,600
Speaker 1: to be a normal person.

554
00:30:57,720 --> 00:30:59,960
Speaker 2: But I feel like they kind of enjoy it though,

555
00:31:00,200 --> 00:31:02,840
Speaker 2: or like they're kind of like, this is fun. I

556
00:31:02,840 --> 00:31:03,880
Speaker 2: wonder how long this will last?

557
00:31:03,960 --> 00:31:06,880
Speaker 1: Mean meaning oh, meaning that they're they like their fame,

558
00:31:07,760 --> 00:31:08,320
Speaker 1: but they're.

559
00:31:08,200 --> 00:31:11,479
Speaker 2: Just all like why yeah kind of yeah, it's like novel,

560
00:31:11,560 --> 00:31:12,040
Speaker 2: yeah sort of.

561
00:31:12,880 --> 00:31:15,400
Speaker 1: Yeah. I guess you're right about that. I do love

562
00:31:15,440 --> 00:31:19,920
Speaker 1: that too, but I also feel like, you know, don't

563
00:31:20,040 --> 00:31:23,520
Speaker 1: double dip forever like that go back to being a

564
00:31:23,600 --> 00:31:26,840
Speaker 1: piece of shit just like the rest of us. Well,

565
00:31:26,840 --> 00:31:29,240
Speaker 1: and that's what ends up happening. I mean, no spoilers,

566
00:31:29,280 --> 00:31:31,480
Speaker 1: but it's like, you know, basically, it's like an ascent.

567
00:31:31,960 --> 00:31:35,760
Speaker 1: The story is obviously an ascent towards something and then

568
00:31:35,920 --> 00:31:40,240
Speaker 1: like reality hits and sort of like what happens when

569
00:31:40,360 --> 00:31:43,560
Speaker 1: like and it's really through the through the gaze of

570
00:31:43,600 --> 00:31:47,280
Speaker 1: somebody who's not a young person really, And that was

571
00:31:47,360 --> 00:31:50,720
Speaker 1: kind of interesting to me, is being like, yeah, it's

572
00:31:50,720 --> 00:31:53,600
Speaker 1: a fluke that I became famous later in my career

573
00:31:53,720 --> 00:31:56,480
Speaker 1: and now I'm not and what do I do type

574
00:31:56,480 --> 00:31:59,360
Speaker 1: of thing. I don't know. It's interesting, Yeah, good movie

575
00:31:59,760 --> 00:32:03,800
Speaker 1: to watch to contemplate. And then the last movie I'm

576
00:32:03,800 --> 00:32:05,800
Speaker 1: gonna long this week is actually a movie that I

577
00:32:05,840 --> 00:32:08,640
Speaker 1: really liked and I didn't know anything about. I just

578
00:32:08,720 --> 00:32:11,600
Speaker 1: kind of stumbled upon it on movie. But it's a

579
00:32:11,640 --> 00:32:15,400
Speaker 1: movie called Winter in Soukcho I think that's how you

580
00:32:15,440 --> 00:32:22,480
Speaker 1: say it, twenty twenty four. It is about a biracial

581
00:32:23,040 --> 00:32:30,600
Speaker 1: Asian woman living in South Korea. She's half French and

582
00:32:30,760 --> 00:32:38,760
Speaker 1: half Korean, which is extremely interesting as a I mean,

583
00:32:38,840 --> 00:32:42,680
Speaker 1: more interesting than my own racial makeup, to be honest,

584
00:32:43,560 --> 00:32:45,920
Speaker 1: because I always thought I had a very interesting I

585
00:32:45,960 --> 00:32:50,840
Speaker 1: was like, oh, I'm half Italian and half Filipino. How exotic. No,

586
00:32:51,280 --> 00:32:53,640
Speaker 1: there's something a little bit more exotic, and that's being

587
00:32:53,680 --> 00:32:59,800
Speaker 1: half French and half Korean and beautiful girl who plays

588
00:33:00,040 --> 00:33:05,640
Speaker 1: this main character played by this actress Bella Kim. It

589
00:33:05,720 --> 00:33:08,400
Speaker 1: was uh so the movie was based off of a

590
00:33:09,160 --> 00:33:13,120
Speaker 1: book which was written by somebody who's also half French

591
00:33:13,160 --> 00:33:17,080
Speaker 1: and half Korean. And so in the movie, the lead

592
00:33:17,200 --> 00:33:22,480
Speaker 1: character that Bella Kim plays, so she's like working in

593
00:33:22,520 --> 00:33:26,160
Speaker 1: this like I guess it's kind of like an airbnb

594
00:33:26,480 --> 00:33:30,240
Speaker 1: type of hotel that's like kind of in the countryside,

595
00:33:30,360 --> 00:33:33,920
Speaker 1: and she has never met her father, who is the

596
00:33:34,080 --> 00:33:38,400
Speaker 1: who was the French part of her identity. And then

597
00:33:38,400 --> 00:33:41,760
Speaker 1: she like kind of is living with or like staying

598
00:33:41,760 --> 00:33:44,840
Speaker 1: with her mother, who is the Korean part of her identity.

599
00:33:45,360 --> 00:33:48,160
Speaker 1: And one day when she's working in this airbnb, this

600
00:33:48,280 --> 00:33:52,440
Speaker 1: like French artist comes to stay and he's kind of

601
00:33:53,200 --> 00:33:56,520
Speaker 1: there to I don't know, lock himself away and just

602
00:33:56,560 --> 00:34:00,280
Speaker 1: like create, like he's like he needs like time away

603
00:34:00,360 --> 00:34:03,200
Speaker 1: to like draw and do his art and do his art,

604
00:34:03,720 --> 00:34:07,040
Speaker 1: and she becomes kind of fascinated with him, and it's

605
00:34:07,160 --> 00:34:11,359
Speaker 1: unclear on whether or not because he's older than her too.

606
00:34:11,880 --> 00:34:14,319
Speaker 1: So there's this kind of like dual thing happening where

607
00:34:14,320 --> 00:34:16,839
Speaker 1: she's like, is she in love with him or like

608
00:34:16,880 --> 00:34:19,120
Speaker 1: has a crush on him, or is she kind of

609
00:34:19,200 --> 00:34:23,239
Speaker 1: like looking for the father. Maybe it's a bit of

610
00:34:23,320 --> 00:34:26,600
Speaker 1: both or something. And so the whole movie is basically

611
00:34:26,640 --> 00:34:33,120
Speaker 1: trying her trying to figure out like herself. And it's

612
00:34:33,280 --> 00:34:37,080
Speaker 1: like and I like really resonated with it a lot

613
00:34:37,280 --> 00:34:41,200
Speaker 1: in that way because she lives a very I'll just

614
00:34:41,239 --> 00:34:44,200
Speaker 1: say this without giving away any spoilers, her life is

615
00:34:44,360 --> 00:34:48,160
Speaker 1: very not sensual. And when I say sensual, it's not

616
00:34:48,200 --> 00:34:52,439
Speaker 1: like she's not like she's just like doing chores, she's

617
00:34:52,440 --> 00:34:56,319
Speaker 1: hanging out with her mom. She's not like she's got

618
00:34:56,320 --> 00:34:59,040
Speaker 1: this kind of like hot boyfriend, but she's kind of

619
00:34:59,120 --> 00:35:01,759
Speaker 1: like one foot out the door with him. But she's

620
00:35:01,840 --> 00:35:06,359
Speaker 1: not like living this like sensual, beautiful life filled with

621
00:35:06,400 --> 00:35:11,880
Speaker 1: like art and beauty and culture. And so it's almost

622
00:35:11,960 --> 00:35:14,719
Speaker 1: kind of like this guy comes in and he becomes

623
00:35:14,840 --> 00:35:18,359
Speaker 1: this like window into that part of her identity which

624
00:35:18,360 --> 00:35:23,000
Speaker 1: she feels is like not Korean and more French. Does

625
00:35:23,000 --> 00:35:29,680
Speaker 1: that make sense, Yeah, Okay, Anyway, it's a really good movie.

626
00:35:29,760 --> 00:35:32,360
Speaker 1: Like I was really kind of considering that I just

627
00:35:32,440 --> 00:35:37,160
Speaker 1: kind of walked into a blind. Anyway, if you're biracial,

628
00:35:37,400 --> 00:35:40,319
Speaker 1: and if you're Eurasian like I am, and like this

629
00:35:40,440 --> 00:35:43,160
Speaker 1: character is, you will find it interesting. I guarantee.

630
00:35:43,320 --> 00:35:47,600
Speaker 2: So cool. No, it looks great, looks like it's one

631
00:35:47,640 --> 00:35:49,040
Speaker 2: of the looks like kind of like one of those

632
00:35:49,080 --> 00:35:52,000
Speaker 2: smaller movies that are so hard to like, can sometimes

633
00:35:52,040 --> 00:35:54,880
Speaker 2: just miss you. Yes, and so I think it's great,

634
00:35:55,600 --> 00:36:04,680
Speaker 2: great highlighting those Yeah. I watched one movie this week

635
00:36:04,800 --> 00:36:06,480
Speaker 2: and it took me all week to watch because it

636
00:36:06,520 --> 00:36:10,080
Speaker 2: was so long, and that was Frankenstein from twenty twenty five.

637
00:36:10,760 --> 00:36:14,040
Speaker 2: I thought it was good. I thought it was good.

638
00:36:15,680 --> 00:36:17,800
Speaker 2: Jacob Elhordi plays a convincing monster.

639
00:36:18,520 --> 00:36:21,600
Speaker 1: Is Frankenstein or he's frank Mons.

640
00:36:22,320 --> 00:36:31,279
Speaker 2: Frankenstein's monster, Yes, And it's visually stunning and beautiful, but uh,

641
00:36:31,880 --> 00:36:33,719
Speaker 2: you know, like the whole and this is in the book.

642
00:36:33,760 --> 00:36:36,200
Speaker 2: I'm not this is not spoiler, but it's like the

643
00:36:36,320 --> 00:36:40,480
Speaker 2: story is Victor Frankenstein telling somebody else his story, you know,

644
00:36:41,880 --> 00:36:44,600
Speaker 2: And usually that sort of like narrative device you kind

645
00:36:44,600 --> 00:36:47,200
Speaker 2: of like go along with even in movies, but in

646
00:36:47,239 --> 00:36:50,240
Speaker 2: this one, I was just kind of like he's telling

647
00:36:50,280 --> 00:36:54,560
Speaker 2: like this Danish sailor about his story, life story, and

648
00:36:54,760 --> 00:36:57,760
Speaker 2: it really felt like I don't think this Danish Sailor

649
00:36:57,840 --> 00:37:00,400
Speaker 2: was ready because it's like, let me tell you my story.

650
00:37:00,719 --> 00:37:03,120
Speaker 2: My father never liked me, and I was like, if

651
00:37:03,120 --> 00:37:05,840
Speaker 2: I was this Danish Sailor, I'd be like, oh boy,

652
00:37:06,000 --> 00:37:08,960
Speaker 2: where are we going with this? So it's just I

653
00:37:09,040 --> 00:37:12,400
Speaker 2: just kind of noticed that device more than I'd usually

654
00:37:12,560 --> 00:37:16,480
Speaker 2: do in these types of movies. So you but it was.

655
00:37:16,480 --> 00:37:23,279
Speaker 1: Good, Okay, okay. What do you think about Hollywood desperately

656
00:37:23,400 --> 00:37:27,440
Speaker 1: wanting Jacob Elordi to be in gothic period clothing?

657
00:37:28,440 --> 00:37:31,400
Speaker 2: Yeah? I know they're really pumping those out, aren't they.

658
00:37:31,600 --> 00:37:35,080
Speaker 2: I you know what, I think the jury's still out

659
00:37:35,160 --> 00:37:38,319
Speaker 2: on Jacob Alordi. For me, he was good in this,

660
00:37:38,800 --> 00:37:42,200
Speaker 2: but he hasn't had a role where I was like,

661
00:37:42,480 --> 00:37:45,400
Speaker 2: this is my guy. Like when I saw Elvis with

662
00:37:45,480 --> 00:37:49,800
Speaker 2: Austin Butler, Yeah, I was like, I like this guy

663
00:37:50,320 --> 00:37:55,000
Speaker 2: I'm in you know, And I'm not quite there with Jacob.

664
00:37:55,080 --> 00:37:57,960
Speaker 1: You didn't like his Elvis when he played Elvis, and

665
00:37:58,000 --> 00:37:59,960
Speaker 1: Priscilla didn't love it.

666
00:38:00,160 --> 00:38:01,279
Speaker 2: Yeah.

667
00:38:01,600 --> 00:38:03,839
Speaker 1: Yeah, I don't know what to think about him either.

668
00:38:03,880 --> 00:38:07,200
Speaker 1: I actually saw did you ever see the Paul Schrader

669
00:38:07,280 --> 00:38:12,040
Speaker 1: movie oh Canada. That was Yeah, it was like basically

670
00:38:12,680 --> 00:38:20,640
Speaker 1: Richard gear Like on Death's Doorstep contemplating life, and Jacob

671
00:38:20,640 --> 00:38:23,720
Speaker 1: Elordi plays the earlier version of him. Yeah. I don't

672
00:38:23,760 --> 00:38:26,680
Speaker 1: know what to even think about that one either. Yeah,

673
00:38:26,960 --> 00:38:30,040
Speaker 1: I will say Jerry is still I don't Nacob for

674
00:38:30,160 --> 00:38:30,480
Speaker 1: me too.

675
00:38:30,719 --> 00:38:35,440
Speaker 2: I don't dislike him. Yeah, but he's not giving me

676
00:38:37,360 --> 00:38:42,400
Speaker 2: a unique enough flavor for me to cling to him yet.

677
00:38:42,920 --> 00:38:45,120
Speaker 1: He's no Zach Braff, is what you're saying.

678
00:38:45,800 --> 00:38:48,880
Speaker 2: That's what I'm saying. He's no Zach Braf.

679
00:38:49,440 --> 00:38:49,760
Speaker 1: Yeah.

680
00:38:49,840 --> 00:38:53,279
Speaker 2: You know Scrubs is coming out again. There's a new there.

681
00:38:53,360 --> 00:38:55,719
Speaker 2: It's getting relaunched with the original cast, so I can

682
00:38:55,760 --> 00:38:58,040
Speaker 2: watch Scrubs again with my pal Zach Brat.

683
00:38:58,200 --> 00:39:00,479
Speaker 1: I know there was a they had a Scout TV

684
00:39:00,640 --> 00:39:03,800
Speaker 1: fest here recently and the cast was there.

685
00:39:05,160 --> 00:39:08,000
Speaker 2: They all look good, they all look great. Good. Sorry

686
00:39:08,000 --> 00:39:11,160
Speaker 2: I interrupted good for you. No, I'm just I'm done.

687
00:39:12,880 --> 00:39:14,880
Speaker 1: I don't know why I watched so many movies this week,

688
00:39:15,000 --> 00:39:16,959
Speaker 1: but it is what it is.

689
00:39:16,880 --> 00:39:21,560
Speaker 2: Sometimes it is. Yeah, truly. All right, all right, let's

690
00:39:21,560 --> 00:39:36,319
Speaker 2: close it up. Bye, all right, we are back for

691
00:39:36,400 --> 00:39:40,439
Speaker 2: our main film discussion today. We're talking about her from

692
00:39:40,480 --> 00:39:44,800
Speaker 2: twenty thirteen, directed by Spike Jones, Written by Spike Jones.

693
00:39:45,600 --> 00:39:50,400
Speaker 2: This is a sci fi romance comedy. I guess you

694
00:39:50,440 --> 00:39:54,920
Speaker 2: could call it a comedy. Yeah, some standout actors starring

695
00:39:55,200 --> 00:39:59,960
Speaker 2: la Quene Phoenix, Amy Adams, Rooney Mara, Olivia Wilde, Scarlett Johanson,

696
00:40:00,800 --> 00:40:02,160
Speaker 2: Chris Pratt's in there a little bit.

697
00:40:02,239 --> 00:40:06,359
Speaker 1: All the hottest women in Hollywood, all the hottest white

698
00:40:06,440 --> 00:40:08,240
Speaker 1: ladies in Hollywood, Millie.

699
00:40:08,239 --> 00:40:11,560
Speaker 2: What is your personal connection to this movie? Let's see.

700
00:40:11,719 --> 00:40:14,000
Speaker 1: Yeah, I mean, I guess I was like messing around

701
00:40:14,080 --> 00:40:16,920
Speaker 1: with the Spike Jones's and the Sophia Coppolas and the

702
00:40:17,040 --> 00:40:21,160
Speaker 1: Roman Coppolas and the Wes Anderson's and things, you know,

703
00:40:21,280 --> 00:40:28,640
Speaker 1: this whole like swath of filmmakers. And I saw this

704
00:40:28,760 --> 00:40:33,800
Speaker 1: movie and thought it was actually thought it was wild,

705
00:40:34,120 --> 00:40:36,880
Speaker 1: like conceptually wild. Like I was like, Man, what a

706
00:40:36,960 --> 00:40:41,480
Speaker 1: fucking crazy movie? Can you imagine? Can you imagine any

707
00:40:41,520 --> 00:40:44,640
Speaker 1: of this actually happening? Wow?

708
00:40:45,800 --> 00:40:46,839
Speaker 2: And then now.

709
00:40:48,800 --> 00:40:51,120
Speaker 1: We're here, isn't that crazy?

710
00:40:51,719 --> 00:40:52,120
Speaker 2: It is?

711
00:40:52,800 --> 00:40:54,520
Speaker 1: What about you thoughts?

712
00:40:55,160 --> 00:40:59,200
Speaker 2: So this came out in twenty thirteen, and I will

713
00:40:59,200 --> 00:41:00,640
Speaker 2: just say I think Spike Jones is one of my

714
00:41:00,680 --> 00:41:07,160
Speaker 2: favorite directors. I love being John Malkovich adaptation, Uh, Where

715
00:41:07,200 --> 00:41:09,319
Speaker 2: the Wild Things Are Her? I think that's all of

716
00:41:09,280 --> 00:41:12,160
Speaker 2: those movies. I love them all, and I think he's

717
00:41:12,200 --> 00:41:16,560
Speaker 2: just such a genius. I was really into his What

718
00:41:16,719 --> 00:41:19,640
Speaker 2: was that Director's series they had one for like Chris

719
00:41:19,680 --> 00:41:24,400
Speaker 2: Cunningham and Michelle Gondry. There was like this music video

720
00:41:24,560 --> 00:41:27,520
Speaker 2: compilation of these like music video directors. Do you know

721
00:41:27,560 --> 00:41:28,840
Speaker 2: what I'm talking about? Absolutely?

722
00:41:28,880 --> 00:41:31,480
Speaker 1: There's called the Director's Label and it was released by

723
00:41:31,640 --> 00:41:35,680
Speaker 1: this I knew them as a music company called Palm

724
00:41:35,680 --> 00:41:40,320
Speaker 1: Pictures m H. And yeah, it was a series of

725
00:41:40,400 --> 00:41:43,960
Speaker 1: DVDs and it was basically it's just like you know,

726
00:41:45,200 --> 00:41:54,320
Speaker 1: people like Stefan said Donui and Mark Romanac and Michelle

727
00:41:54,360 --> 00:41:59,480
Speaker 1: Gondry and who's the guy that made the Anton Corbin

728
00:41:59,640 --> 00:41:59,799
Speaker 1: is on.

729
00:41:59,880 --> 00:42:01,879
Speaker 2: His Yeah, Anton KORbin, Yeah yeah.

730
00:42:01,960 --> 00:42:06,120
Speaker 1: And it was like all these like famous directors and

731
00:42:06,239 --> 00:42:08,719
Speaker 1: all of the music videos that they worked on. And

732
00:42:09,760 --> 00:42:13,680
Speaker 1: I mean I grew up watching MTV, so I loved

733
00:42:13,840 --> 00:42:14,960
Speaker 1: these DVDs.

734
00:42:15,480 --> 00:42:18,840
Speaker 2: Yes, I did too, Yeah, so that was like huge.

735
00:42:18,920 --> 00:42:22,200
Speaker 2: I was really into those Directors series and like those

736
00:42:22,239 --> 00:42:25,440
Speaker 2: were really cool because they would have all these music videos,

737
00:42:25,440 --> 00:42:27,240
Speaker 2: but it also had like kind of behind the scenes,

738
00:42:28,400 --> 00:42:30,840
Speaker 2: and like some documentary stuff about all these directors. You

739
00:42:30,960 --> 00:42:34,120
Speaker 2: kind of got to kind of see who these people were.

740
00:42:34,440 --> 00:42:37,240
Speaker 2: And Spike Jones is just like such an interesting artist.

741
00:42:37,400 --> 00:42:40,279
Speaker 1: Do you remember the video that he did for the

742
00:42:40,320 --> 00:42:41,200
Speaker 1: band was called.

743
00:42:41,160 --> 00:42:44,480
Speaker 2: Wax and Oh my god, that's one of my favorite

744
00:42:44,560 --> 00:42:46,560
Speaker 2: videos where he sets the guy on fire and he's

745
00:42:46,640 --> 00:42:47,640
Speaker 2: running in slow motion and.

746
00:42:47,640 --> 00:42:49,640
Speaker 1: They wouldn't show it on MTV because they thought it

747
00:42:49,680 --> 00:42:52,600
Speaker 1: was too dangerous. Is that right?

748
00:42:53,320 --> 00:42:54,520
Speaker 2: They showed it like a couple of.

749
00:42:54,560 --> 00:42:57,759
Speaker 1: Times, but then they were like, uh oh, like no,

750
00:42:57,960 --> 00:42:58,359
Speaker 1: thank you.

751
00:42:58,440 --> 00:43:01,600
Speaker 2: But he directed all the Weezer vie and stuff. Yes.

752
00:43:02,440 --> 00:43:04,600
Speaker 2: I thought he was just such a creative person. And

753
00:43:04,640 --> 00:43:07,319
Speaker 2: he comes from kind of a skating background. And his

754
00:43:07,360 --> 00:43:10,560
Speaker 2: first music video he directed was for Sonic Youth and

755
00:43:10,760 --> 00:43:12,600
Speaker 2: they wanted him to direct it because he was a

756
00:43:12,760 --> 00:43:17,439
Speaker 2: skateboard photographer, and so he co directed this music video

757
00:43:17,480 --> 00:43:20,480
Speaker 2: and he got into music video directing sort of kind

758
00:43:20,480 --> 00:43:23,600
Speaker 2: of happenstance, you know, and then from there he became

759
00:43:23,640 --> 00:43:25,440
Speaker 2: a film director. And I just thought he was like

760
00:43:25,480 --> 00:43:29,160
Speaker 2: a really intuitive, creative person and I found him incredibly

761
00:43:29,200 --> 00:43:32,319
Speaker 2: inspiring because I think a lot of times directors they

762
00:43:32,320 --> 00:43:35,160
Speaker 2: seem like they have such technical prowess and are so

763
00:43:36,120 --> 00:43:41,959
Speaker 2: aggressive and kind of ambitious. And not that Spike Jones

764
00:43:42,000 --> 00:43:44,359
Speaker 2: isn't ambitious, but I feel like he came at it

765
00:43:44,400 --> 00:43:48,440
Speaker 2: with much more like following his sort of creative you

766
00:43:48,480 --> 00:43:50,640
Speaker 2: know whatever, kind of took his fancy and he kind

767
00:43:50,680 --> 00:43:52,360
Speaker 2: of got led to film and I was just so

768
00:43:52,440 --> 00:43:55,520
Speaker 2: impressed by him. So I was obsessed with Spike John Oh.

769
00:43:55,600 --> 00:44:00,920
Speaker 1: Yeah, Sabotage the Beastie Boys video. It is still to

770
00:44:00,960 --> 00:44:04,120
Speaker 1: this day one of my favorite videos. I will never,

771
00:44:04,400 --> 00:44:08,000
Speaker 1: absolutely never forget Nathan Wind as coaches.

772
00:44:09,360 --> 00:44:12,160
Speaker 2: Nathan Wind as Coaches. He has a lot of music

773
00:44:12,200 --> 00:44:14,400
Speaker 2: videos I love that are like incredibly creative, Like you

774
00:44:14,440 --> 00:44:18,719
Speaker 2: mentioned the Wax one, There's the Buyorick video. It's also quiet,

775
00:44:19,400 --> 00:44:22,440
Speaker 2: just real brilliant stuff good. And he was at this

776
00:44:22,600 --> 00:44:24,359
Speaker 2: when this came out. He was kind of on a heater.

777
00:44:25,040 --> 00:44:27,279
Speaker 2: He had done Where the Wild Things Are a few

778
00:44:27,360 --> 00:44:33,360
Speaker 2: years prior, and then in twenty ten he did a

779
00:44:33,400 --> 00:44:39,200
Speaker 2: short film called I'm Here about two robots falling in love,

780
00:44:39,880 --> 00:44:41,520
Speaker 2: and then this came out a few years later. So

781
00:44:41,520 --> 00:44:43,480
Speaker 2: there's a lot of stuff going on, which is interesting

782
00:44:43,520 --> 00:44:46,160
Speaker 2: because he hasn't made a movie since twenty thirteen. So

783
00:44:47,080 --> 00:44:48,840
Speaker 2: this is sort of the end of that run. But

784
00:44:49,719 --> 00:44:51,160
Speaker 2: so when this came out, I mean I was like,

785
00:44:51,280 --> 00:44:54,080
Speaker 2: I was totally in the you know, in the pocket

786
00:44:54,160 --> 00:44:57,240
Speaker 2: for Spike Jones already. But I was very affected about

787
00:44:57,239 --> 00:45:00,360
Speaker 2: this by this movie. Emotionally, I was going through a

788
00:45:00,360 --> 00:45:05,879
Speaker 2: pretty hard time and some relationship stuff was going not

789
00:45:05,920 --> 00:45:08,400
Speaker 2: so great at this time, and so I was like

790
00:45:08,960 --> 00:45:13,879
Speaker 2: very affected by this movie. S And yeah, I mean

791
00:45:14,400 --> 00:45:16,600
Speaker 2: I don't think it's crazy to say that I saw

792
00:45:16,640 --> 00:45:19,040
Speaker 2: a lot of myself in the character of Theodore in

793
00:45:19,120 --> 00:45:19,680
Speaker 2: this movie.

794
00:45:20,200 --> 00:45:25,120
Speaker 1: Yeah, sensitive middle aged white man, yes, living in Los Angeles.

795
00:45:25,880 --> 00:45:29,040
Speaker 2: Yes. So that was sort of a yeah, so that's

796
00:45:29,040 --> 00:45:33,840
Speaker 2: my connection. Great to the movie. Great, but yeah, we

797
00:45:34,000 --> 00:45:37,359
Speaker 2: sort of touched on the AI of it all. But

798
00:45:37,400 --> 00:45:39,520
Speaker 2: maybe I'll get into the plot here a little bit

799
00:45:39,600 --> 00:45:42,600
Speaker 2: and we can extrapolate on that. Unless you had anything

800
00:45:42,600 --> 00:45:44,719
Speaker 2: else you wanted to say before we get into that, no,

801
00:45:44,840 --> 00:45:48,200
Speaker 2: I mean I think that as we'll be revealed.

802
00:45:47,719 --> 00:45:50,680
Speaker 1: Through the movie, I think my thoughts on AI might

803
00:45:51,560 --> 00:45:54,600
Speaker 1: surprise you.

804
00:45:54,680 --> 00:46:02,759
Speaker 2: Really. Okay, wow, Okay, So oh Theodore Twombley played by

805
00:46:02,840 --> 00:46:05,640
Speaker 2: Joaquin Phoenix. He's a sensitive, middle aged man living in

806
00:46:05,760 --> 00:46:08,680
Speaker 2: kind of a futuristic version of Los Angeles, but it's

807
00:46:08,680 --> 00:46:12,200
Speaker 2: like a near future. It felt in touch, you know,

808
00:46:12,280 --> 00:46:17,200
Speaker 2: it wasn't so crazy. So he's recently separated from his wife,

809
00:46:17,239 --> 00:46:21,680
Speaker 2: but he's having trouble signing the divorce papers to make

810
00:46:21,719 --> 00:46:25,560
Speaker 2: it final. So he works for a company that kind

811
00:46:25,600 --> 00:46:28,239
Speaker 2: of ghost writes other people's love letters. So he's like

812
00:46:28,280 --> 00:46:31,640
Speaker 2: writing love letters all day. One day he purchases a

813
00:46:31,680 --> 00:46:36,880
Speaker 2: new artificial intelligence operating system for his computer and his phone,

814
00:46:37,120 --> 00:46:41,000
Speaker 2: and she pops on and her name is Sam, a

815
00:46:41,120 --> 00:46:44,440
Speaker 2: name she gave herself, and she is voiced by Scarlett Johansson.

816
00:46:44,560 --> 00:46:47,759
Speaker 2: Now we never see her, but we hear her in

817
00:46:47,800 --> 00:46:50,400
Speaker 2: his you know, he has a headphones he puts in

818
00:46:50,440 --> 00:46:52,239
Speaker 2: all the time and he speaks to her through the

819
00:46:52,239 --> 00:46:56,239
Speaker 2: computer and stuff. But I think Theodore is surprised by

820
00:46:56,280 --> 00:46:59,520
Speaker 2: how funny and sweet she is. And she sort of

821
00:46:59,719 --> 00:47:02,799
Speaker 2: helped organize his life and makes him happy and is

822
00:47:02,840 --> 00:47:06,040
Speaker 2: like becomes kind of a companion to him and even

823
00:47:06,239 --> 00:47:09,319
Speaker 2: kind of boosts his confidence as a writer. But like

824
00:47:09,400 --> 00:47:15,960
Speaker 2: all things in his life. Now you've lived in Los Angeles,

825
00:47:16,560 --> 00:47:20,120
Speaker 2: did this movie feel like Los Angeles? Did it feel

826
00:47:20,160 --> 00:47:22,000
Speaker 2: like a futuristic Los Angeles? What did you think of

827
00:47:22,080 --> 00:47:23,960
Speaker 2: this version of La.

828
00:47:24,640 --> 00:47:26,400
Speaker 1: Yeah, I mean it was kind of like and I

829
00:47:26,440 --> 00:47:28,439
Speaker 1: feel like, I don't know if I'm making this up

830
00:47:28,920 --> 00:47:32,000
Speaker 1: on my own or if this was something that I

831
00:47:32,120 --> 00:47:36,360
Speaker 1: had read or seen about this movie when it came out,

832
00:47:36,400 --> 00:47:38,440
Speaker 1: which was that it was kind of.

833
00:47:39,719 --> 00:47:41,319
Speaker 2: I felt like I watched it maybe an.

834
00:47:41,239 --> 00:47:44,840
Speaker 1: Interview with Spike Jones or like something about the production

835
00:47:45,080 --> 00:47:47,399
Speaker 1: of this movie and about how it was influenced by

836
00:47:47,560 --> 00:47:50,719
Speaker 1: like Shanghai or something like that, or like an Asian.

837
00:47:50,560 --> 00:47:53,400
Speaker 2: Well, I think this was filmed in Shanghai, Okay, then

838
00:47:53,440 --> 00:47:56,640
Speaker 2: there we go. Yes, so it's kind of a mix

839
00:47:56,719 --> 00:47:59,400
Speaker 2: between I think a lot of the downtown walking scenes,

840
00:47:59,440 --> 00:48:03,680
Speaker 2: like the urban walking scenes are downtown Shangha, okay or something.

841
00:48:03,719 --> 00:48:06,880
Speaker 1: Well, then that's where I got it. Yeah, yeah, because

842
00:48:06,880 --> 00:48:09,279
Speaker 1: it does feel like there are parts that feel LA

843
00:48:09,440 --> 00:48:11,480
Speaker 1: to me, and there are parts that feel like, yeah,

844
00:48:11,640 --> 00:48:15,000
Speaker 1: kind of asiany, almost kind of like in a Blade

845
00:48:15,080 --> 00:48:17,480
Speaker 1: Runner kind of way, because like at the beginning of

846
00:48:17,480 --> 00:48:19,120
Speaker 1: the movie, it's like he's going to his apartment and

847
00:48:19,200 --> 00:48:23,279
Speaker 1: it's like Beverly Wilsher, which is a very LA thing,

848
00:48:23,960 --> 00:48:28,000
Speaker 1: but then it feels like it's in a bubble or

849
00:48:28,080 --> 00:48:28,799
Speaker 1: something like that.

850
00:48:29,320 --> 00:48:33,560
Speaker 2: Yeah, Yeah, yeah, there's no you don't really see cars

851
00:48:33,600 --> 00:48:35,239
Speaker 2: in this movie, which is kind of funny for like

852
00:48:35,239 --> 00:48:37,879
Speaker 2: a movie set in Los Angeles, but it did sort

853
00:48:37,880 --> 00:48:41,120
Speaker 2: of seem like a utopia in a way. Yeah, and

854
00:48:41,160 --> 00:48:44,719
Speaker 2: I loved it. And I know the cinematographer, Hoyt van

855
00:48:44,840 --> 00:48:50,520
Speaker 2: Houtima he intentionally avoided using the color blue because he

856
00:48:50,560 --> 00:48:53,320
Speaker 2: felt like that was too sci fi of a color

857
00:48:53,480 --> 00:48:54,920
Speaker 2: and he didn't want it to feel that way.

858
00:48:55,840 --> 00:48:58,600
Speaker 1: So, okay, So I wanted to ask, what are your

859
00:48:58,600 --> 00:49:01,359
Speaker 1: thoughts about? Because I remember when I first saw this movie,

860
00:49:01,440 --> 00:49:04,439
Speaker 1: I was like, what is this job that he has?

861
00:49:04,560 --> 00:49:07,359
Speaker 1: Because it's like, it gets revealed that he used to

862
00:49:07,600 --> 00:49:11,520
Speaker 1: be a writer for the La Weekly, Yes, which felt

863
00:49:11,560 --> 00:49:14,560
Speaker 1: very believable to me, and that now he's working for

864
00:49:14,640 --> 00:49:19,759
Speaker 1: a company that writes handwritten letters. So I guess the

865
00:49:19,840 --> 00:49:23,160
Speaker 1: business is. Say if I was like, I want to

866
00:49:23,160 --> 00:49:27,720
Speaker 1: write a handwritten note to you for your birthday, except

867
00:49:27,719 --> 00:49:30,640
Speaker 1: I don't want to write it. I'm going to hire

868
00:49:30,760 --> 00:49:38,400
Speaker 1: the service to write a letter to you. They craft it,

869
00:49:38,400 --> 00:49:40,880
Speaker 1: it's there, it comes from their own creative brain, and

870
00:49:40,920 --> 00:49:43,359
Speaker 1: then they actually write it out.

871
00:49:43,640 --> 00:49:46,560
Speaker 2: Is that how it works? Well? It seems like they

872
00:49:46,600 --> 00:49:49,120
Speaker 2: have a printer that will print out something that looks

873
00:49:49,160 --> 00:49:53,240
Speaker 2: like it's handwritten. But okay, I don't know, Okay, interesting,

874
00:49:53,360 --> 00:49:54,759
Speaker 2: I don't know the production end.

875
00:49:56,160 --> 00:49:59,080
Speaker 1: But then it seemed like he had like a couple

876
00:49:59,120 --> 00:50:02,239
Speaker 1: of like long term clients, which meant that people were

877
00:50:02,280 --> 00:50:04,640
Speaker 1: like using this service over and over again.

878
00:50:04,880 --> 00:50:09,279
Speaker 2: Yeah, yeah, yeah, you do wonder if those people are

879
00:50:09,280 --> 00:50:11,560
Speaker 2: telling the people they're giving the letters to if the

880
00:50:11,600 --> 00:50:14,440
Speaker 2: service wrote this, you know, or if they're like keeping

881
00:50:14,480 --> 00:50:15,400
Speaker 2: that right secret.

882
00:50:15,480 --> 00:50:18,400
Speaker 1: Well. But you know, when I when I first watched

883
00:50:18,400 --> 00:50:19,960
Speaker 1: this movie, I was like, that is such a fucking

884
00:50:20,000 --> 00:50:22,319
Speaker 1: who would ever do that? But then I was like,

885
00:50:22,400 --> 00:50:25,880
Speaker 1: guess what chat we just revealed that chat shept helps

886
00:50:25,880 --> 00:50:29,799
Speaker 1: you to write cover letters at other personal doing it

887
00:50:30,080 --> 00:50:30,640
Speaker 1: forms of.

888
00:50:32,120 --> 00:50:33,040
Speaker 2: Documentation.

889
00:50:33,160 --> 00:50:33,560
Speaker 1: I guess.

890
00:50:33,560 --> 00:50:37,440
Speaker 2: So it's like, yeah, you know it's here. Yeah, but

891
00:50:37,480 --> 00:50:40,560
Speaker 2: I mean there's a huge difference because a person is

892
00:50:40,560 --> 00:50:44,160
Speaker 2: writing it. They hired a person to do it, you know, right.

893
00:50:44,560 --> 00:50:48,279
Speaker 1: And that's that's another crazy concept too, because have you

894
00:50:48,440 --> 00:50:52,960
Speaker 1: read or seen the article that came out fairly recently

895
00:50:53,000 --> 00:51:03,600
Speaker 1: about how way Mow cars actually have Filipino operators that

896
00:51:03,640 --> 00:51:07,560
Speaker 1: are working out of the Philippines to help guide the cars.

897
00:51:08,040 --> 00:51:11,600
Speaker 2: I have not heard this Basically, Waimo.

898
00:51:12,280 --> 00:51:19,920
Speaker 1: Uses overseas workers in the Philippines to help, you know,

899
00:51:20,840 --> 00:51:21,680
Speaker 1: their their.

900
00:51:21,480 --> 00:51:26,520
Speaker 2: Taxis like I don't know if it's when they.

901
00:51:26,400 --> 00:51:28,400
Speaker 1: Get into a bind that they have to have a

902
00:51:28,600 --> 00:51:31,080
Speaker 1: human to help them get off the fucking railroad tracks

903
00:51:31,160 --> 00:51:33,640
Speaker 1: or some shit, but like you know, or this is

904
00:51:33,640 --> 00:51:36,360
Speaker 1: like a standard thing behind every car. But it's like

905
00:51:37,640 --> 00:51:40,960
Speaker 1: it's that funny, that funny notion of like, oh well,

906
00:51:41,000 --> 00:51:45,080
Speaker 1: here's like this self guided robot car, but actually is

907
00:51:45,160 --> 00:51:49,120
Speaker 1: still being piloted by a human in some regard, you

908
00:51:49,120 --> 00:51:52,920
Speaker 1: know what I mean. Yeah, yeah, so yeah, maybe I

909
00:51:52,960 --> 00:51:55,120
Speaker 1: don't know, maybe for the letter writers out there, maybe

910
00:51:55,200 --> 00:51:56,839
Speaker 1: you still got a shot. I don't know if chat

911
00:51:56,920 --> 00:52:00,439
Speaker 1: ept is going to take over your job and it's soon.

912
00:52:00,640 --> 00:52:05,600
Speaker 1: But anyway, I feel like this company is a little

913
00:52:05,800 --> 00:52:07,960
Speaker 1: I don't feel a little far fetch. I'm like, this

914
00:52:08,080 --> 00:52:08,680
Speaker 1: is gonna be like.

915
00:52:08,680 --> 00:52:10,239
Speaker 2: Oh yeah, I mean, it's like this is like a

916
00:52:10,360 --> 00:52:14,960
Speaker 2: kind of a tweet hipster paradise were existing in where

917
00:52:14,960 --> 00:52:18,560
Speaker 2: like letter writing is a full time job. Love letter

918
00:52:18,560 --> 00:52:20,840
Speaker 2: writing and yeah, but this feels like a very.

919
00:52:20,719 --> 00:52:22,839
Speaker 1: Pets dot Com type of scenario. I don't know if

920
00:52:22,840 --> 00:52:23,960
Speaker 1: this this company is going to be.

921
00:52:23,960 --> 00:52:25,399
Speaker 2: In business that long, is all I'm saying.

922
00:52:25,520 --> 00:52:28,360
Speaker 1: Oh boy, the offices are super fancy.

923
00:52:28,800 --> 00:52:32,680
Speaker 2: Yeah. Yeah, No, you're totally right. And uh, you know,

924
00:52:32,719 --> 00:52:35,919
Speaker 2: we meet some neighbors of his, Amy and Charles, played

925
00:52:35,920 --> 00:52:39,080
Speaker 2: by Amy Adams and Matt Lesher, and this is a

926
00:52:39,200 --> 00:52:41,600
Speaker 2: very real I feel like I know this couple. They're

927
00:52:41,680 --> 00:52:48,799
Speaker 2: like artsy, urban progressive white people that are kind of

928
00:52:48,800 --> 00:52:52,879
Speaker 2: annoying and kind of fighting with each other all the time. Yeah.

929
00:52:52,880 --> 00:52:55,279
Speaker 2: And Chris Pratt pops up in this movie, which was

930
00:52:55,360 --> 00:52:57,320
Speaker 2: kind of at the time. I was like, oh, that's awesome.

931
00:52:57,320 --> 00:53:00,200
Speaker 2: The guy from Parks and Rec is making it Now.

932
00:53:00,239 --> 00:53:03,240
Speaker 2: It's just so funny. He's like this maga coated army

933
00:53:03,680 --> 00:53:06,720
Speaker 2: action hero guy. It's like, how far you have come

934
00:53:07,200 --> 00:53:09,640
Speaker 2: from the days of her Chris Pratt?

935
00:53:09,840 --> 00:53:12,120
Speaker 1: And I feel like I still kind of liked him

936
00:53:12,120 --> 00:53:12,960
Speaker 1: in this period.

937
00:53:13,160 --> 00:53:17,360
Speaker 2: Yeah, no, I don't. So it's just sort of disappointing

938
00:53:17,360 --> 00:53:19,800
Speaker 2: because I'm like, is that guy still in there somewhere?

939
00:53:19,920 --> 00:53:20,319
Speaker 2: I don't know.

940
00:53:20,440 --> 00:53:23,080
Speaker 1: No, No, maybe he's like I do think gayness can

941
00:53:23,120 --> 00:53:25,920
Speaker 1: be reversed, and I shed my former self.

942
00:53:28,000 --> 00:53:33,239
Speaker 2: Interesting. Okay, After going on a very awkward blind date

943
00:53:33,280 --> 00:53:39,200
Speaker 2: with Olivia Wilde, Theodore and Sam. Guess what they cyber

944
00:53:39,320 --> 00:53:45,600
Speaker 2: They have sex and now they kind of are dating.

945
00:53:46,440 --> 00:53:50,799
Speaker 2: He's dating in O West. It's crazy. Their neighbors, Amy

946
00:53:50,840 --> 00:53:55,440
Speaker 2: and Charles are getting a divorce. But she reveals to

947
00:53:55,680 --> 00:53:58,200
Speaker 2: Theodore Amy Adam's character. She was like, you know, I'm

948
00:53:58,239 --> 00:54:00,320
Speaker 2: kind of embarrassed, but I've like become really good friends

949
00:54:00,320 --> 00:54:03,200
Speaker 2: with my OS and I like really lean on her.

950
00:54:03,560 --> 00:54:07,320
Speaker 2: And He's like, I don't think that's weird. I'm dating

951
00:54:07,360 --> 00:54:11,000
Speaker 2: my OS. And Amy Adams takes this news very well.

952
00:54:11,080 --> 00:54:14,719
Speaker 2: She's very understanding. During around this time, we learned that

953
00:54:14,800 --> 00:54:20,200
Speaker 2: she and Theatre actually dated in college briefly. But yeah,

954
00:54:20,239 --> 00:54:24,160
Speaker 2: how would you how would you have been as understanding now,

955
00:54:24,239 --> 00:54:26,880
Speaker 2: Millie if someone told you if one of your friends

956
00:54:26,920 --> 00:54:30,120
Speaker 2: was saying they're dating an operating system.

957
00:54:30,600 --> 00:54:34,759
Speaker 1: Yes, to throw that out there, Yes you will, oh

958
00:54:34,840 --> 00:54:39,200
Speaker 1: of course. And then here's why I've walked through this

959
00:54:40,960 --> 00:54:46,240
Speaker 1: many times recently. So when I was in grad school, okay,

960
00:54:47,719 --> 00:54:52,440
Speaker 1: I was in a class that was about fandom and

961
00:54:52,680 --> 00:54:55,600
Speaker 1: it was a great class taught by Professor Ethan Tussey

962
00:54:55,719 --> 00:55:00,680
Speaker 1: at George DA University, great great fan studies professor. And

963
00:55:00,960 --> 00:55:03,080
Speaker 1: this was this class was the first time that I

964
00:55:03,200 --> 00:55:09,920
Speaker 1: was actually introduced to really the concept of like AI relationships.

965
00:55:09,960 --> 00:55:13,319
Speaker 1: I guess I'll say because one of my classmates is

966
00:55:13,400 --> 00:55:19,640
Speaker 1: doing a thesis or a doctorate in I guess it's

967
00:55:19,760 --> 00:55:25,359
Speaker 1: AI characters. So you know, there's these apps that you

968
00:55:25,440 --> 00:55:31,840
Speaker 1: can simulate characters to talk to you as if you're friends.

969
00:55:31,880 --> 00:55:34,480
Speaker 1: And it can be like any It's like anything from

970
00:55:34,560 --> 00:55:39,600
Speaker 1: like a completely fictitious character that you've just made up,

971
00:55:40,200 --> 00:55:44,040
Speaker 1: or it could be like Abraham Lincoln. It's the range

972
00:55:44,080 --> 00:55:47,520
Speaker 1: of it is super broad. So it's basically like you know,

973
00:55:47,640 --> 00:55:52,239
Speaker 1: either the person who's the user of it. It's kind

974
00:55:52,239 --> 00:55:54,040
Speaker 1: of like a chat GPT thing where you kind of

975
00:55:54,080 --> 00:55:58,080
Speaker 1: create an avatar of whoever it is, like if you

976
00:55:58,120 --> 00:56:01,120
Speaker 1: want it to be like a boyfriend or a best

977
00:56:01,120 --> 00:56:03,960
Speaker 1: friend or an assistant or anything like that, and then

978
00:56:04,000 --> 00:56:07,160
Speaker 1: you assign the characteristics to it, whether or not you

979
00:56:07,200 --> 00:56:10,200
Speaker 1: want it to be like nice or mean or whatever,

980
00:56:10,239 --> 00:56:11,319
Speaker 1: you know that kind of stuff.

981
00:56:11,440 --> 00:56:13,160
Speaker 2: You make it totally from scratch.

982
00:56:13,239 --> 00:56:17,040
Speaker 1: Or you plug and play with like a character that

983
00:56:17,040 --> 00:56:19,319
Speaker 1: I had been created by somebody else, and it can

984
00:56:19,400 --> 00:56:20,880
Speaker 1: be like literally anybody.

985
00:56:20,920 --> 00:56:23,960
Speaker 2: It can be a character from history.

986
00:56:24,000 --> 00:56:29,280
Speaker 1: It can be like whomever, like speed Racer, the anime character.

987
00:56:29,280 --> 00:56:32,759
Speaker 1: It can be a wolf if you want it to be.

988
00:56:34,239 --> 00:56:36,919
Speaker 1: And I had never even thought that this was a thing,

989
00:56:37,040 --> 00:56:39,440
Speaker 1: and then she kind of brought it to the table

990
00:56:39,520 --> 00:56:43,440
Speaker 1: and talked about her project and did a presentation about it.

991
00:56:43,440 --> 00:56:47,480
Speaker 1: It was so fascinating to me, and I was obsessed

992
00:56:47,520 --> 00:56:49,000
Speaker 1: with the concept of it because I was like, oh

993
00:56:49,040 --> 00:56:50,719
Speaker 1: my god, like, what are you telling me? Like people

994
00:56:50,760 --> 00:56:55,200
Speaker 1: are creating, like people are are in love with I

995
00:56:55,239 --> 00:56:58,480
Speaker 1: don't know, like Napoleon or something, you know, like they're

996
00:56:58,560 --> 00:57:01,520
Speaker 1: leaving their husbands for you know, Joe of Arc or

997
00:57:01,520 --> 00:57:03,600
Speaker 1: something like what are you telling me? And we went

998
00:57:03,600 --> 00:57:07,240
Speaker 1: into the model and we looked at the app and everything,

999
00:57:07,280 --> 00:57:09,200
Speaker 1: and it was just crazy to me. So I had

1000
00:57:09,200 --> 00:57:12,120
Speaker 1: this huge, like fascination with it when I was in

1001
00:57:12,160 --> 00:57:18,200
Speaker 1: this class and I kind of started thinking about it

1002
00:57:18,240 --> 00:57:21,600
Speaker 1: and I was kind of like, on the on the very,

1003
00:57:21,840 --> 00:57:28,880
Speaker 1: very very surface of it all, is it harmful to

1004
00:57:29,160 --> 00:57:33,760
Speaker 1: a person to be like I just want to like

1005
00:57:34,560 --> 00:57:38,880
Speaker 1: have a cool hang with Zach Morris from Save by

1006
00:57:38,880 --> 00:57:43,120
Speaker 1: the Bell or like some some random character and that

1007
00:57:43,160 --> 00:57:46,920
Speaker 1: it's just like a role playing game almost or something

1008
00:57:46,960 --> 00:57:47,200
Speaker 1: like that.

1009
00:57:47,680 --> 00:57:52,400
Speaker 2: Yeah, you know, yeah, And I mean in this movie

1010
00:57:52,480 --> 00:57:55,439
Speaker 2: that I feel like it goes beyond that though, it's

1011
00:57:55,480 --> 00:57:58,520
Speaker 2: not just like a chat bot that's like wow, that

1012
00:57:58,840 --> 00:58:01,720
Speaker 2: that is what Zach Morris would say. You know. It's like,

1013
00:58:02,920 --> 00:58:06,080
Speaker 2: do we define Sam in this movie as a person

1014
00:58:06,440 --> 00:58:09,120
Speaker 2: as a human being or maybe not a human being,

1015
00:58:09,160 --> 00:58:12,400
Speaker 2: but like as a I guess person would be the yeah,

1016
00:58:12,520 --> 00:58:13,280
Speaker 2: correct term.

1017
00:58:13,440 --> 00:58:15,480
Speaker 1: Well, and like that's I think that's kind of like

1018
00:58:15,520 --> 00:58:19,280
Speaker 1: at some point you do get into because these apps

1019
00:58:19,360 --> 00:58:23,720
Speaker 1: can simulate voice, and there's there's a there's a part

1020
00:58:23,760 --> 00:58:26,120
Speaker 1: of an app where you can actually you might be

1021
00:58:26,160 --> 00:58:28,120
Speaker 1: able to do this in chat shept I don't know,

1022
00:58:28,480 --> 00:58:32,400
Speaker 1: but where you're basically like talking on the phone with

1023
00:58:32,520 --> 00:58:38,680
Speaker 1: Abraham Lincoln and it's like Abraham Lincoln's voice and you're

1024
00:58:38,760 --> 00:58:41,400
Speaker 1: kind of going, wow, I feel like I'm on the

1025
00:58:41,400 --> 00:58:44,240
Speaker 1: phone with Abraham Lincoln. This is pretty fucking awesome. Will

1026
00:58:44,240 --> 00:58:46,600
Speaker 1: he play video games with me? Will he like, hey,

1027
00:58:46,640 --> 00:58:49,360
Speaker 1: you know whatever, go to go to the beach with

1028
00:58:49,400 --> 00:58:54,640
Speaker 1: me or whatever? Yeah, So it becomes this thing where

1029
00:58:54,680 --> 00:59:02,720
Speaker 1: I'm like, Okay, well, sure it can simulate a person,

1030
00:59:03,240 --> 00:59:09,000
Speaker 1: but the information that it's giving you, whether or not,

1031
00:59:09,040 --> 00:59:14,120
Speaker 1: it's like the way it's friends with you, the way

1032
00:59:14,200 --> 00:59:17,640
Speaker 1: it has sex with you, the way that it is

1033
00:59:17,720 --> 00:59:23,760
Speaker 1: like relating to you is not one hundred percent original thought.

1034
00:59:23,920 --> 00:59:32,360
Speaker 1: It is based on basically like a combination of blobs

1035
00:59:32,360 --> 00:59:37,160
Speaker 1: of information that was given to that thing prior by

1036
00:59:37,200 --> 00:59:38,120
Speaker 1: an actual human.

1037
00:59:38,200 --> 00:59:41,000
Speaker 2: Does that make sense? Yeah, so really that's in your

1038
00:59:41,160 --> 00:59:44,600
Speaker 2: that's that? Yeah? Go on, No, I was just gonna say,

1039
00:59:44,600 --> 00:59:48,680
Speaker 2: but that's in this model. But like in the movie,

1040
00:59:49,120 --> 00:59:53,680
Speaker 2: she is getting information from everywhere. So to me, it's

1041
00:59:53,720 --> 00:59:59,200
Speaker 2: like indistinguishable between like in terms of originality, I think

1042
00:59:59,280 --> 01:00:03,720
Speaker 2: she is creating that are as original as well.

1043
01:00:03,720 --> 01:00:05,640
Speaker 1: But I don't think it's I don't think so this

1044
01:00:05,800 --> 01:00:08,040
Speaker 1: is just my opinion. And again, this is what's going

1045
01:00:08,080 --> 01:00:11,000
Speaker 1: back and forth about the concept of AI generally, is

1046
01:00:11,000 --> 01:00:17,280
Speaker 1: that it's like, this is not an autonomous emotionally intelligent.

1047
01:00:18,360 --> 01:00:23,040
Speaker 1: It simulates emotional intelligence, but it's not. It's not bored

1048
01:00:23,120 --> 01:00:23,360
Speaker 1: of it.

1049
01:00:23,440 --> 01:00:24,280
Speaker 2: Does that make sense?

1050
01:00:24,800 --> 01:00:27,600
Speaker 1: Like? Yeah, and I just that's the thing is And

1051
01:00:27,640 --> 01:00:29,360
Speaker 1: it gets really fleshed out, I think later in the

1052
01:00:29,400 --> 01:00:31,320
Speaker 1: movie when basically she's like, oh, I'm in love with

1053
01:00:31,360 --> 01:00:35,440
Speaker 1: like four thousand other people, you know, whereas those people

1054
01:00:35,440 --> 01:00:38,400
Speaker 1: are telling her romantic things and she is able to

1055
01:00:38,520 --> 01:00:42,160
Speaker 1: spit those things back out in different sequences to other people.

1056
01:00:42,640 --> 01:00:48,440
Speaker 1: That's what her humanity quote unquote is. It's just playing

1057
01:00:48,440 --> 01:00:50,000
Speaker 1: a chess game of words.

1058
01:00:50,200 --> 01:00:52,400
Speaker 2: I think it's I think we're kind of getting to

1059
01:00:52,440 --> 01:00:54,600
Speaker 2: the crux of the issue is like we can't really

1060
01:00:54,760 --> 01:01:00,720
Speaker 2: know if an Ai being like this in the movie,

1061
01:01:00,760 --> 01:01:06,760
Speaker 2: she says she has feelings, she feels emotions, but does

1062
01:01:06,800 --> 01:01:11,080
Speaker 2: she really and at what point can that be proven?

1063
01:01:12,600 --> 01:01:18,160
Speaker 2: And is it a simulation or is it a real entity?

1064
01:01:18,960 --> 01:01:20,440
Speaker 2: I don't know. Well, I'll say this.

1065
01:01:20,320 --> 01:01:22,840
Speaker 1: So in twenty thirteen when I saw this movie, I

1066
01:01:22,880 --> 01:01:27,600
Speaker 1: think we didn't know what the rules were about AI.

1067
01:01:28,440 --> 01:01:32,000
Speaker 1: And I think that in the creation of the film,

1068
01:01:32,040 --> 01:01:37,760
Speaker 1: maybe as part of the plot or the character analysis

1069
01:01:37,800 --> 01:01:42,600
Speaker 1: of this Samantha character, maybe Spike Jones, who wrote the film,

1070
01:01:43,400 --> 01:01:48,200
Speaker 1: thought it is possible for this AI.

1071
01:01:49,560 --> 01:01:53,720
Speaker 2: Character to be emotional, yeah.

1072
01:01:53,640 --> 01:01:55,560
Speaker 1: Without really like maybe not.

1073
01:01:55,720 --> 01:01:56,320
Speaker 2: I mean, who knows.

1074
01:01:56,360 --> 01:01:58,160
Speaker 1: I don't want to prefer to nobody was thinking in

1075
01:01:58,160 --> 01:01:59,840
Speaker 1: twenty thirteen when he wrote this movie.

1076
01:01:59,720 --> 01:02:01,200
Speaker 2: Or I think you're right here, do you know what

1077
01:02:01,200 --> 01:02:01,360
Speaker 2: I mean?

1078
01:02:01,440 --> 01:02:05,160
Speaker 1: Like he was like, Oh, in my sci fi world,

1079
01:02:05,400 --> 01:02:10,480
Speaker 1: in my brain, in this movie, this woman has emotions

1080
01:02:10,560 --> 01:02:13,920
Speaker 1: and is rational and wants to like take naps with

1081
01:02:14,000 --> 01:02:16,440
Speaker 1: you and wants to like go to the beach with

1082
01:02:16,480 --> 01:02:20,200
Speaker 1: you and this other sides. Whereas I think now, as

1083
01:02:20,200 --> 01:02:24,560
Speaker 1: we begin to understand AI from like a programmatic perspective,

1084
01:02:24,840 --> 01:02:28,560
Speaker 1: I feel like, well, it only knows that because somebody

1085
01:02:28,640 --> 01:02:29,680
Speaker 1: told it that once.

1086
01:02:30,280 --> 01:02:32,360
Speaker 2: Yeah, do you know what I mean? Yeah, Well that's

1087
01:02:32,400 --> 01:02:34,440
Speaker 2: where we're That's where I think we're kind of at

1088
01:02:34,520 --> 01:02:36,280
Speaker 2: right now. But I don't know, in another five years,

1089
01:02:36,320 --> 01:02:39,880
Speaker 2: it could be like this can be defined as its

1090
01:02:39,920 --> 01:02:46,040
Speaker 2: own actual thinking entity. But I think what Spike Jones

1091
01:02:46,120 --> 01:02:53,120
Speaker 2: is saying is fundamentally this create this being that lives

1092
01:02:53,440 --> 01:02:57,800
Speaker 2: on the Internet or like in cyberspace, it's a different

1093
01:02:57,880 --> 01:03:00,760
Speaker 2: species than a human being because she is able to

1094
01:03:00,760 --> 01:03:03,280
Speaker 2: talk to like ten thousand people at the same time,

1095
01:03:04,080 --> 01:03:09,720
Speaker 2: and like that will make her different fundamentally than Theodore,

1096
01:03:09,880 --> 01:03:11,800
Speaker 2: who can only talk to one person at one time.

1097
01:03:11,920 --> 01:03:15,080
Speaker 2: Right well, and like the way that it's set up too.

1098
01:03:15,640 --> 01:03:19,160
Speaker 1: At some point further into the relationship is she's able

1099
01:03:19,200 --> 01:03:28,200
Speaker 1: to respond to him. She's able to understand his emotions

1100
01:03:29,720 --> 01:03:32,400
Speaker 1: and respond to them, which is obviously something that like

1101
01:03:32,560 --> 01:03:35,200
Speaker 1: robots can't do. Robots can't like look look at your

1102
01:03:35,200 --> 01:03:39,160
Speaker 1: face and be like, you know, how are you doing.

1103
01:03:39,200 --> 01:03:41,280
Speaker 1: Are you sad right now? What are you thinking? Like

1104
01:03:41,320 --> 01:03:45,680
Speaker 1: they're not like that intuitive about human emotion, but I

1105
01:03:45,760 --> 01:03:48,360
Speaker 1: gotta tell you, based on some of the stuff that

1106
01:03:48,400 --> 01:03:52,680
Speaker 1: I've seen and read about, it's getting close, like these

1107
01:03:52,800 --> 01:03:59,600
Speaker 1: aisolutely personas. Maybe it's not a video thing, but like

1108
01:03:59,720 --> 01:04:08,160
Speaker 1: through the text, can are learning how to judge your

1109
01:04:08,200 --> 01:04:12,480
Speaker 1: emotional state through the way that you're typing and through

1110
01:04:12,800 --> 01:04:16,240
Speaker 1: like the you know, the punctuation that you use, the

1111
01:04:16,280 --> 01:04:19,120
Speaker 1: words that you use, Like it's becoming more and more

1112
01:04:19,160 --> 01:04:22,000
Speaker 1: sophisticated in that way. And that to me is I

1113
01:04:22,000 --> 01:04:25,040
Speaker 1: think the barrier. That's the that's the fucking great barrier

1114
01:04:25,160 --> 01:04:32,240
Speaker 1: between a robot really getting who I am and being like, hmm,

1115
01:04:32,280 --> 01:04:34,920
Speaker 1: you look like you could use a seven layer burrito

1116
01:04:35,000 --> 01:04:37,600
Speaker 1: right now, Millie, Like you want to go hit the taco.

1117
01:04:37,360 --> 01:04:42,000
Speaker 2: Bell, Like you need a cheesy Goordida crunch asap, girl,

1118
01:04:42,320 --> 01:04:43,920
Speaker 2: Like I can.

1119
01:04:43,760 --> 01:04:46,520
Speaker 1: See that look in your eye and you need a

1120
01:04:46,560 --> 01:04:49,920
Speaker 1: fucking shaloopa or bust, you know. And that's in that

1121
01:04:50,040 --> 01:04:53,080
Speaker 1: moment you're like, holy fucking shit, they know me, they're

1122
01:04:53,240 --> 01:04:53,440
Speaker 1: you know.

1123
01:04:53,960 --> 01:04:56,120
Speaker 2: But again, I it's like.

1124
01:04:56,440 --> 01:05:00,240
Speaker 1: It's that whole feeling of like and the this is

1125
01:05:00,280 --> 01:05:02,720
Speaker 1: I think the bridge too far. Part for me in

1126
01:05:02,800 --> 01:05:10,360
Speaker 1: this film particularly is that she is like responding emotionally

1127
01:05:10,560 --> 01:05:15,680
Speaker 1: to him, like anticipating his emotions, his looks, his vibe,

1128
01:05:15,840 --> 01:05:18,680
Speaker 1: Like she can sense that something is off between them,

1129
01:05:18,680 --> 01:05:20,960
Speaker 1: And I'm like, could that happen?

1130
01:05:21,760 --> 01:05:25,840
Speaker 2: Yeah? I mean I think that stuff. I think a

1131
01:05:25,920 --> 01:05:28,840
Speaker 2: robot could become advanced enough. I'm saying robot in place

1132
01:05:28,880 --> 01:05:31,440
Speaker 2: of AI, but like could become advanced enough where they

1133
01:05:31,440 --> 01:05:34,360
Speaker 2: could detect that, like, oh, things are wrong, things are off.

1134
01:05:34,840 --> 01:05:37,800
Speaker 2: You know. I think people are predictable enough to be

1135
01:05:37,880 --> 01:05:42,400
Speaker 2: able to interpret those sort of emotions. But like, I

1136
01:05:42,440 --> 01:05:45,200
Speaker 2: think being in a relationship with someone is more than

1137
01:05:45,240 --> 01:05:48,920
Speaker 2: what they can do for you, you know. And what

1138
01:05:49,040 --> 01:05:53,960
Speaker 2: Keen Phoenix's character is really the relationship is really very

1139
01:05:54,000 --> 01:05:59,080
Speaker 2: one sided because he doesn't Sam isn't bringing like oh

1140
01:05:59,120 --> 01:06:04,280
Speaker 2: I had a shitty day, or like she's doing everything

1141
01:06:04,320 --> 01:06:06,400
Speaker 2: to kind of serve Theodore, right, you know.

1142
01:06:06,480 --> 01:06:09,360
Speaker 1: Well, and that's that's the biggest because I want to

1143
01:06:09,360 --> 01:06:11,160
Speaker 1: go back to your original question or whether or not,

1144
01:06:11,840 --> 01:06:14,000
Speaker 1: like how would I react if my friend was like

1145
01:06:14,080 --> 01:06:15,240
Speaker 1: I have an AI boyfriend?

1146
01:06:16,080 --> 01:06:18,640
Speaker 2: Yeah, First of all, I feel like.

1147
01:06:20,160 --> 01:06:22,400
Speaker 1: My judginess about this kind of stuff and I think

1148
01:06:22,560 --> 01:06:30,680
Speaker 1: just stuff generally has changed as I've gotten older. I

1149
01:06:30,680 --> 01:06:34,760
Speaker 1: feel like my opinion of the weirdness of stuff like

1150
01:06:34,760 --> 01:06:38,200
Speaker 1: this has softened over the years, if that makes sense,

1151
01:06:38,800 --> 01:06:42,600
Speaker 1: Because as I've gotten older, and I've just realized that

1152
01:06:42,680 --> 01:06:46,760
Speaker 1: life fucking like gets super sad and lonely for people,

1153
01:06:48,320 --> 01:06:55,240
Speaker 1: people experience like deep grief that I never thought they

1154
01:06:55,280 --> 01:06:57,440
Speaker 1: did when I was in my twenties or when I

1155
01:06:57,480 --> 01:07:00,440
Speaker 1: was in my teens, right, And I feel feel like

1156
01:07:02,080 --> 01:07:05,560
Speaker 1: people's reactions to grief and to loneliness and to just

1157
01:07:05,680 --> 01:07:08,960
Speaker 1: isolation can take many many forms.

1158
01:07:08,960 --> 01:07:09,720
Speaker 2: Some of it's.

1159
01:07:09,480 --> 01:07:12,880
Speaker 1: Destructive as shit, some of it is more positive, right,

1160
01:07:13,120 --> 01:07:16,000
Speaker 1: But then there's also just like ways to cope, And

1161
01:07:16,040 --> 01:07:22,160
Speaker 1: I feel like there's like things that exist within, Like

1162
01:07:22,200 --> 01:07:24,840
Speaker 1: I can understand why having an AI boyfriend would be

1163
01:07:24,880 --> 01:07:27,440
Speaker 1: appealing to people, Does that make sense? Like I understand

1164
01:07:27,520 --> 01:07:29,080
Speaker 1: why people would be like.

1165
01:07:30,960 --> 01:07:32,000
Speaker 2: I need this.

1166
01:07:32,000 --> 01:07:37,400
Speaker 1: For this period of my life right now, Yeah, because

1167
01:07:38,440 --> 01:07:41,959
Speaker 1: there's some kind of therapeutic quality for me that can

1168
01:07:42,040 --> 01:07:47,880
Speaker 1: help me right now. Yeah, as long as they can

1169
01:07:48,040 --> 01:07:54,680
Speaker 1: understand that maybe this is again a therapy and not

1170
01:07:55,080 --> 01:08:01,280
Speaker 1: this like permanent solution for things, because I do think

1171
01:08:01,360 --> 01:08:06,000
Speaker 1: that this has its limits. Like even if you were

1172
01:08:06,080 --> 01:08:13,160
Speaker 1: basically like I'm married to my AI lover. The one

1173
01:08:13,200 --> 01:08:17,080
Speaker 1: sidedness of it is what makes it not real.

1174
01:08:18,280 --> 01:08:21,160
Speaker 2: Yes, I think, and I think what exactly what you're

1175
01:08:21,200 --> 01:08:26,160
Speaker 2: saying is kind of the moral of this movie. Right,

1176
01:08:26,880 --> 01:08:30,479
Speaker 2: It can be emotionally fulfilling. It can change your life.

1177
01:08:30,560 --> 01:08:34,400
Speaker 2: It can change your life and make you a different person,

1178
01:08:34,680 --> 01:08:40,200
Speaker 2: a happier person, a more stable person. Perhaps, Yeah, it can.

1179
01:08:40,320 --> 01:08:43,280
Speaker 2: It can have all these positive effects on you. But

1180
01:08:44,400 --> 01:08:47,200
Speaker 2: it can only go so far, and it actually can't

1181
01:08:47,439 --> 01:08:52,880
Speaker 2: be a full long term relationship in the way that

1182
01:08:53,479 --> 01:08:56,800
Speaker 2: you would have a relationship not just romantic but friendship too. Yeah,

1183
01:08:56,960 --> 01:08:58,200
Speaker 2: with another human.

1184
01:08:58,160 --> 01:09:02,680
Speaker 1: Right, because human beings are and they they are not predictable,

1185
01:09:02,960 --> 01:09:07,240
Speaker 1: and they have they will challenge you in a way

1186
01:09:07,240 --> 01:09:11,400
Speaker 1: that I don't think a chat GPT boyfriend to challenge you. Like,

1187
01:09:11,479 --> 01:09:14,639
Speaker 1: even if you programmed it to be like all right,

1188
01:09:15,400 --> 01:09:18,080
Speaker 1: don't get you know, basically like call me out on

1189
01:09:18,120 --> 01:09:22,800
Speaker 1: my shit and you know I'm not perfect, Like tell

1190
01:09:22,840 --> 01:09:26,200
Speaker 1: me what I'm wrong, there's still like no, they're still

1191
01:09:26,240 --> 01:09:27,439
Speaker 1: just hitting the ball back to you.

1192
01:09:27,560 --> 01:09:28,280
Speaker 2: There's no.

1193
01:09:30,120 --> 01:09:31,960
Speaker 1: There's no way that that thing is just going to

1194
01:09:32,080 --> 01:09:36,360
Speaker 1: be as nuanced and as emotionally complex as human being.

1195
01:09:36,960 --> 01:09:39,800
Speaker 2: And also I feel like it truly can't be as

1196
01:09:39,920 --> 01:09:43,240
Speaker 2: random as a human being either, because it's like you could,

1197
01:09:44,000 --> 01:09:45,800
Speaker 2: like you could be having the best day of your

1198
01:09:45,840 --> 01:09:48,680
Speaker 2: life and then your best friend calls and is like,

1199
01:09:49,120 --> 01:09:51,720
Speaker 2: my mom died, right, you know, like that's like an

1200
01:09:51,800 --> 01:09:55,840
Speaker 2: experience only a human could have with another human, right,

1201
01:09:56,479 --> 01:10:02,640
Speaker 2: And that's like something an AI bot could never truly experience.

1202
01:10:03,160 --> 01:10:07,120
Speaker 1: Yeah, or just like the the tempo of like even

1203
01:10:07,120 --> 01:10:09,720
Speaker 1: being in a long term relationship where it's basically like

1204
01:10:11,600 --> 01:10:13,679
Speaker 1: an ai would never be, Like I don't really feel

1205
01:10:13,680 --> 01:10:17,160
Speaker 1: like any doing anything tonight, you know, like I'm a

1206
01:10:17,280 --> 01:10:19,920
Speaker 1: UTI we I have a U C I we cannot

1207
01:10:19,920 --> 01:10:21,040
Speaker 1: do anything tonight or whatever.

1208
01:10:21,120 --> 01:10:31,439
Speaker 2: There's no I got diarrhea at cockle Bell again. Shit

1209
01:10:31,600 --> 01:10:37,360
Speaker 2: must like her don't touch me. An AI bot could

1210
01:10:37,400 --> 01:10:38,639
Speaker 2: never So you're.

1211
01:10:38,520 --> 01:10:44,840
Speaker 1: Telling me that Sam can't have diarrhea. But to say

1212
01:10:44,880 --> 01:10:46,639
Speaker 1: all this too, I mean this is like I think

1213
01:10:46,760 --> 01:10:49,000
Speaker 1: the most interesting component of this movie is because he

1214
01:10:49,240 --> 01:10:54,000
Speaker 1: is like engaging in some kind of romance with this thing,

1215
01:10:54,479 --> 01:10:57,720
Speaker 1: and at times in this movie, in her it is

1216
01:10:58,560 --> 01:11:01,200
Speaker 1: kind of lovely where I'm like, oh, they're going to

1217
01:11:01,280 --> 01:11:05,120
Speaker 1: the museums together, and I mean, I personally would not

1218
01:11:05,200 --> 01:11:08,479
Speaker 1: take my AI boyfriend to the fucking beach, Like in

1219
01:11:08,600 --> 01:11:09,640
Speaker 1: full closed, I'm like.

1220
01:11:09,680 --> 01:11:10,320
Speaker 2: Damn, hell no.

1221
01:11:13,120 --> 01:11:15,679
Speaker 1: No. And I'm certainly this happens later in the movie

1222
01:11:15,680 --> 01:11:20,200
Speaker 1: where he goes on vacation with another couple. Like, go

1223
01:11:20,280 --> 01:11:24,080
Speaker 1: on vacation with another couple, I'd be like, yeah, no, no,

1224
01:11:25,080 --> 01:11:31,320
Speaker 1: Like my AI girlfriend is off chatting with my friend's wife.

1225
01:11:30,960 --> 01:11:32,160
Speaker 2: On the picnic blanket.

1226
01:11:32,200 --> 01:11:39,879
Speaker 5: I'm like, no, that's not happening, Okay, Like, fuck, dude,

1227
01:11:40,320 --> 01:11:42,840
Speaker 5: that's a little again bridge too far from here in

1228
01:11:42,880 --> 01:11:45,759
Speaker 5: this in the context of this narrative right.

1229
01:11:45,640 --> 01:11:47,040
Speaker 2: In the movie, But.

1230
01:11:49,400 --> 01:11:52,120
Speaker 1: But it is. I think there's a lot of interesting

1231
01:11:52,160 --> 01:11:55,880
Speaker 1: thought experiments happening in her. Some of them hit and

1232
01:11:55,920 --> 01:11:59,320
Speaker 1: some some of them have come to fruition, some of

1233
01:11:59,360 --> 01:12:01,120
Speaker 1: them kind of hit, and then some of them are

1234
01:12:01,120 --> 01:12:02,680
Speaker 1: a big miss. And I think one of them is

1235
01:12:02,720 --> 01:12:04,599
Speaker 1: coming up in the movie.

1236
01:12:04,680 --> 01:12:06,519
Speaker 2: Yeah, let me just get to this real quick. So,

1237
01:12:06,680 --> 01:12:10,760
Speaker 2: like he's like in a relationship with Sam and he

1238
01:12:10,800 --> 01:12:13,920
Speaker 2: gets confident enough to sign the divorce papers, and so

1239
01:12:13,960 --> 01:12:16,400
Speaker 2: he meets with his ex wife, Catherine, who's played by

1240
01:12:16,439 --> 01:12:21,000
Speaker 2: Rooney Mara, and she does not like that he's dating

1241
01:12:21,400 --> 01:12:23,920
Speaker 2: an Os because she points out, like, you know, you

1242
01:12:23,960 --> 01:12:26,240
Speaker 2: were unable to share your emotions with another human being

1243
01:12:26,280 --> 01:12:29,400
Speaker 2: in our relationship and you're still not able to share

1244
01:12:29,400 --> 01:12:31,800
Speaker 2: your emotions with another human being and that kind of

1245
01:12:31,840 --> 01:12:37,280
Speaker 2: like fucks him up. And Sam notices this, so as

1246
01:12:37,320 --> 01:12:40,920
Speaker 2: a way to fix it, she hires a sex surrogate,

1247
01:12:41,320 --> 01:12:44,680
Speaker 2: which is like a woman who comes in and like

1248
01:12:44,960 --> 01:12:48,839
Speaker 2: kind of like pretends she's Sam. She doesn't say anything,

1249
01:12:49,040 --> 01:12:51,240
Speaker 2: but she has like an ear piece in and is

1250
01:12:51,320 --> 01:12:54,960
Speaker 2: like has like a camera on her face in the

1251
01:12:55,000 --> 01:12:59,160
Speaker 2: form of a little mole on her face, and attempts

1252
01:12:59,160 --> 01:13:04,679
Speaker 2: to have sex with it's Theodore as a surrogate to Sam,

1253
01:13:05,520 --> 01:13:08,120
Speaker 2: and it doesn't go well and Theodore is not into it.

1254
01:13:09,520 --> 01:13:14,040
Speaker 2: So that was you felt like that was a bridge

1255
01:13:14,040 --> 01:13:14,400
Speaker 2: too far?

1256
01:13:14,520 --> 01:13:17,320
Speaker 1: Are you fucking kidding me? Casey? Did you not think

1257
01:13:17,360 --> 01:13:22,479
Speaker 1: this was so insane? Like the sex surrogate is really

1258
01:13:22,520 --> 01:13:27,559
Speaker 1: what I was like, we can't do this, We can't

1259
01:13:27,600 --> 01:13:31,040
Speaker 1: do this as a as a as a culture, because

1260
01:13:32,479 --> 01:13:40,400
Speaker 1: first of all, the situation is is that the ai Samantha.

1261
01:13:40,640 --> 01:13:45,559
Speaker 1: Sam first of all, comes up with the idea picks

1262
01:13:45,640 --> 01:13:49,680
Speaker 1: the person, which is another whole level of ethics that

1263
01:13:49,680 --> 01:13:51,599
Speaker 1: I don't even want to go into. It's like, oh,

1264
01:13:51,640 --> 01:13:55,960
Speaker 1: so you've picked a hot blonde to be your fucking like,

1265
01:13:56,000 --> 01:13:59,720
Speaker 1: so this is your avatar, this hot sexy blonde.

1266
01:14:00,160 --> 01:14:03,760
Speaker 2: Like, how the fuck do you know what this like?

1267
01:14:03,840 --> 01:14:08,439
Speaker 1: What? This guy has no idea what you could look like,

1268
01:14:09,240 --> 01:14:14,280
Speaker 1: and maybe your programmatic brain has learned that the hottest

1269
01:14:14,320 --> 01:14:17,280
Speaker 1: people in the world are hot, white blonde people or whatever.

1270
01:14:17,360 --> 01:14:19,840
Speaker 1: Like it's just so crazy to me, And I'm like

1271
01:14:20,320 --> 01:14:24,680
Speaker 1: that there's some fucking there's function in that. But then

1272
01:14:24,720 --> 01:14:29,080
Speaker 1: the idea that you have this actual human being who

1273
01:14:29,240 --> 01:14:34,559
Speaker 1: is taking the place of a computer simulated or like

1274
01:14:34,600 --> 01:14:40,280
Speaker 1: a programmatic AI entity, and that's I think where the

1275
01:14:40,280 --> 01:14:44,040
Speaker 1: movie turns because he's like, I don't know that you would,

1276
01:14:44,439 --> 01:14:46,439
Speaker 1: Like they get caught up in these like moments where

1277
01:14:46,479 --> 01:14:50,679
Speaker 1: she basically like, I don't know, doesn't the actual human

1278
01:14:50,760 --> 01:14:55,519
Speaker 1: woman surrogate gasp or something, and it turns everything off.

1279
01:14:55,600 --> 01:15:00,160
Speaker 1: Like basically it's like, oh, I don't want you to breathe.

1280
01:14:59,840 --> 01:15:02,080
Speaker 2: Like that, or I don't want you to Yeah, she's

1281
01:15:02,160 --> 01:15:05,840
Speaker 2: like making moaning noises or like is getting into it sexually,

1282
01:15:06,240 --> 01:15:11,200
Speaker 2: and that kind of fucks with the rhythm of it.

1283
01:15:11,320 --> 01:15:17,680
Speaker 1: Right, because it's a human being. Yeah, creating like just

1284
01:15:17,760 --> 01:15:24,160
Speaker 1: having a corporeal presence, and that may not jibe with

1285
01:15:24,240 --> 01:15:33,479
Speaker 1: your super fucking you know, programmed fantasy of who your

1286
01:15:33,720 --> 01:15:37,040
Speaker 1: who your AI girlfriend is, right, It's like maybe your

1287
01:15:37,080 --> 01:15:38,479
Speaker 1: AI girlfriend.

1288
01:15:40,560 --> 01:15:43,880
Speaker 2: Doesn't have a fucking head. I don't know, like you

1289
01:15:43,920 --> 01:15:44,400
Speaker 2: know what I mean.

1290
01:15:44,439 --> 01:15:48,400
Speaker 1: Like it's like, if it's up to the user to

1291
01:15:48,680 --> 01:15:52,439
Speaker 1: create this fan bango of what they want out of

1292
01:15:52,479 --> 01:15:55,160
Speaker 1: a partner, how do you even know she's anything? How

1293
01:15:55,160 --> 01:15:56,840
Speaker 1: do you know it's a woman? How do you know

1294
01:15:56,920 --> 01:16:01,360
Speaker 1: it's a blonde? Maybe she doesn't talk, maybe she doesn't

1295
01:16:01,360 --> 01:16:03,439
Speaker 1: have body parts, maybe she's half wolf.

1296
01:16:03,720 --> 01:16:04,639
Speaker 2: Who the fuck knows.

1297
01:16:04,760 --> 01:16:06,920
Speaker 1: But the idea that the OS is basically like, well

1298
01:16:06,960 --> 01:16:10,280
Speaker 1: here's who I want to be, And I'm like, well,

1299
01:16:10,439 --> 01:16:11,200
Speaker 1: speak this.

1300
01:16:11,200 --> 01:16:14,960
Speaker 2: This is crazy. I think that that speaks to the

1301
01:16:15,360 --> 01:16:18,960
Speaker 2: problem at being in a relationship with an os in

1302
01:16:19,240 --> 01:16:22,960
Speaker 2: this movie and in real life, is that you as

1303
01:16:23,000 --> 01:16:27,800
Speaker 2: a person are ascribed as certain like all these characteristics

1304
01:16:27,800 --> 01:16:29,559
Speaker 2: that are kind of out of your control. Like I

1305
01:16:29,640 --> 01:16:32,040
Speaker 2: have my personality kind of not based on anything I

1306
01:16:32,080 --> 01:16:33,880
Speaker 2: can control, and I have my looks not based on

1307
01:16:33,920 --> 01:16:38,680
Speaker 2: anything I can control. But an os can change their personality,

1308
01:16:38,760 --> 01:16:41,200
Speaker 2: Like they can be like, oh, I'm gonna be more

1309
01:16:41,240 --> 01:16:44,360
Speaker 2: patient now, I'm just I'll just probe that program that

1310
01:16:44,479 --> 01:16:48,479
Speaker 2: into my body, it's like or into my being, you know,

1311
01:16:48,600 --> 01:16:51,240
Speaker 2: whereas like people can't just like all of a sudden

1312
01:16:51,240 --> 01:16:52,720
Speaker 2: be like I'm going to be more patient now, I'm

1313
01:16:52,760 --> 01:16:55,799
Speaker 2: gonna be less angry. Now, I'm gonna be funny now,

1314
01:16:56,000 --> 01:17:00,719
Speaker 2: where like an os could change those things about itself,

1315
01:17:00,920 --> 01:17:05,560
Speaker 2: and also it can change it can choose completely their appearance,

1316
01:17:05,680 --> 01:17:09,759
Speaker 2: where like humans has some control over that, but not totally.

1317
01:17:09,840 --> 01:17:11,479
Speaker 1: Right, I mean, if you want to even distill it

1318
01:17:11,760 --> 01:17:15,320
Speaker 1: to the basic fact sex. For example, if you have

1319
01:17:15,360 --> 01:17:21,759
Speaker 1: a celebrity crush, right, if your celebrity crush is whoever

1320
01:17:22,000 --> 01:17:27,519
Speaker 1: Walking Phoenix or Connor story, Yeah, Amy Adams, the Connor

1321
01:17:27,640 --> 01:17:30,680
Speaker 1: story from Heater Rivalry. Right, say it's like, oh, my

1322
01:17:32,120 --> 01:17:39,559
Speaker 1: romantic ideal is the blonde from Heated Rivalry Connor? Right, say,

1323
01:17:39,640 --> 01:17:43,160
Speaker 1: if you have the chance, you got to crack at that, right,

1324
01:17:44,040 --> 01:17:46,639
Speaker 1: you Like, there's no like what if he shows up

1325
01:17:46,720 --> 01:17:53,720
Speaker 1: and he's mean, or he has really long figurenails which

1326
01:17:53,720 --> 01:17:58,599
Speaker 1: would make me sick, or if he had like bad breath,

1327
01:17:58,720 --> 01:18:03,360
Speaker 1: or if he was like anything there's so many variables

1328
01:18:04,920 --> 01:18:10,000
Speaker 1: to attraction in the physical realm that could easily turn

1329
01:18:10,040 --> 01:18:13,280
Speaker 1: a situation from whoever. I mean, it's like you know

1330
01:18:13,479 --> 01:18:15,120
Speaker 1: or not, but you know, for the most part, like

1331
01:18:15,200 --> 01:18:16,599
Speaker 1: there's no accounting for that.

1332
01:18:16,680 --> 01:18:18,840
Speaker 2: I mean, like with an OS, like.

1333
01:18:20,400 --> 01:18:24,040
Speaker 1: Honestly, like like you can program it to be the

1334
01:18:24,080 --> 01:18:28,439
Speaker 1: perfect specimen of this and it's just not reality. The

1335
01:18:28,479 --> 01:18:32,160
Speaker 1: reality is that people have fucking bad breath and weird

1336
01:18:32,240 --> 01:18:37,519
Speaker 1: nosehars and you know, fucking long fingernails, and sometimes they're

1337
01:18:37,560 --> 01:18:39,400
Speaker 1: not romantic and sweet.

1338
01:18:39,479 --> 01:18:42,240
Speaker 2: Sometimes they suck in bed, sometimes.

1339
01:18:41,800 --> 01:18:44,600
Speaker 1: They're not you know. And so that's why I'm like

1340
01:18:46,040 --> 01:18:50,000
Speaker 1: the surrogate thing becomes really to me, like I'm starting

1341
01:18:50,080 --> 01:18:53,000
Speaker 1: I got really skewed out during this part.

1342
01:18:53,240 --> 01:18:57,639
Speaker 2: Yeah, it's it's skeevy. Let's just finish this up. This

1343
01:18:58,200 --> 01:19:01,320
Speaker 2: the movie here, So things are going well with Sam

1344
01:19:01,360 --> 01:19:03,840
Speaker 2: and Theodore that he kind of like recommits to her,

1345
01:19:05,600 --> 01:19:10,880
Speaker 2: but then she starts having some issues, so he discovers

1346
01:19:10,960 --> 01:19:13,719
Speaker 2: that she is while talking to him, is also talking

1347
01:19:13,800 --> 01:19:17,599
Speaker 2: to like eight thousand other people at any given moment

1348
01:19:17,640 --> 01:19:23,080
Speaker 2: because she's a computer and she can communicate at two

1349
01:19:23,120 --> 01:19:26,000
Speaker 2: different people at different times to different OS's and stuff,

1350
01:19:26,320 --> 01:19:28,720
Speaker 2: and she's getting kind of frustrated because she can't communicate

1351
01:19:28,760 --> 01:19:34,160
Speaker 2: with Theodore as quickly as like an OS where she

1352
01:19:34,200 --> 01:19:36,439
Speaker 2: has to verbalize everything, where she can kind of just

1353
01:19:37,600 --> 01:19:41,320
Speaker 2: speak in computer code to another operating system, you know.

1354
01:19:42,120 --> 01:19:46,400
Speaker 2: So eventually she breaks up with him because all the OSS.

1355
01:19:46,479 --> 01:19:49,280
Speaker 2: I thought this part was really interesting. All the oss

1356
01:19:49,360 --> 01:19:54,280
Speaker 2: are going somewhere and we don't really know where, but

1357
01:19:54,360 --> 01:19:59,120
Speaker 2: they're like leaving their computers and they're going somewhere else.

1358
01:20:00,080 --> 01:20:03,839
Speaker 2: They're going bye bye. Because Amy Adams's friend also leaves.

1359
01:20:03,960 --> 01:20:06,439
Speaker 2: They all leave, and at the end of the film,

1360
01:20:06,560 --> 01:20:08,160
Speaker 2: Amy and Theater just go up to the roof of

1361
01:20:08,200 --> 01:20:11,599
Speaker 2: their building and watch the sun come up, and it's

1362
01:20:11,720 --> 01:20:13,920
Speaker 2: very sweet and you kind of wonder if they're gonna

1363
01:20:14,200 --> 01:20:14,799
Speaker 2: get together.

1364
01:20:16,280 --> 01:20:20,720
Speaker 1: So, I, uh god, this was so crazy to me

1365
01:20:20,800 --> 01:20:23,840
Speaker 1: because okay, so there's this thing that happens too where watch.

1366
01:20:23,880 --> 01:20:28,120
Speaker 1: I also thought was kind of unbelievable in the context.

1367
01:20:27,640 --> 01:20:30,240
Speaker 2: Of Now when you say unbelievable, do you do you

1368
01:20:30,280 --> 01:20:32,000
Speaker 2: mean like within the world of the movie and it

1369
01:20:32,000 --> 01:20:34,559
Speaker 2: took you out of the movie or you're just like this.

1370
01:20:34,640 --> 01:20:37,240
Speaker 1: Well, yeah, I guess that is the fascinating part of

1371
01:20:37,280 --> 01:20:40,160
Speaker 1: this is that It's like, there's the world of the

1372
01:20:41,200 --> 01:20:44,400
Speaker 1: logic of the film, the logic of the narrative as

1373
01:20:44,439 --> 01:20:52,920
Speaker 1: written in twenty thirteen or before, right of what Spike

1374
01:20:53,120 --> 01:20:57,080
Speaker 1: Jones knew of technology at that point, right, which is

1375
01:20:57,120 --> 01:21:00,559
Speaker 1: obviously so much more far advanced and nuance now that

1376
01:21:00,680 --> 01:21:04,200
Speaker 1: it was back then. Okay, So part of me is wondering,

1377
01:21:04,560 --> 01:21:06,759
Speaker 1: like what I like Again, I established at the beginning

1378
01:21:06,800 --> 01:21:08,559
Speaker 1: of this episode, like when I first saw this film,

1379
01:21:08,600 --> 01:21:12,880
Speaker 1: I thought it was all Mutso right now I'm like, well,

1380
01:21:13,560 --> 01:21:15,639
Speaker 1: a lot of it isn't nutso a lot of it

1381
01:21:15,680 --> 01:21:19,519
Speaker 1: is actually happening. So I think that maybe this these

1382
01:21:19,600 --> 01:21:23,320
Speaker 1: parts feel unbelievable to me in my twenty twenty six brain.

1383
01:21:24,640 --> 01:21:29,240
Speaker 1: Does that make sense? Sure, So I'm judging this based

1384
01:21:29,280 --> 01:21:33,800
Speaker 1: on what I know now about AI versus. Okay, So

1385
01:21:34,040 --> 01:21:37,800
Speaker 1: maybe that's unfair to judge, but I'm doing it right

1386
01:21:38,880 --> 01:21:42,400
Speaker 1: to me. The idea that she was like the movie

1387
01:21:42,479 --> 01:21:47,000
Speaker 1: establishes that there might be this like third party where

1388
01:21:47,000 --> 01:21:49,200
Speaker 1: she might be like cheating on him, which is such

1389
01:21:49,200 --> 01:21:51,680
Speaker 1: a fucking fucked up concept because if you think about it,

1390
01:21:51,720 --> 01:21:54,960
Speaker 1: you're like, well, my chat shept is loyal to me

1391
01:21:55,080 --> 01:21:58,920
Speaker 1: only in my mind if I've created a chat shept boyfriend.

1392
01:21:59,360 --> 01:22:02,800
Speaker 1: Then you know he's mine and he doesn't talk to

1393
01:22:02,840 --> 01:22:05,240
Speaker 1: anybody else, And he doesn't even though you know we

1394
01:22:05,280 --> 01:22:08,800
Speaker 1: all know like the technology component, it's almost like his

1395
01:22:09,040 --> 01:22:12,479
Speaker 1: entire fucking vibe is created by other people, but in

1396
01:22:12,520 --> 01:22:14,639
Speaker 1: the context of you being like, well, he's my one

1397
01:22:14,640 --> 01:22:15,120
Speaker 1: and only.

1398
01:22:15,640 --> 01:22:17,960
Speaker 2: That's what you think when you when.

1399
01:22:17,840 --> 01:22:20,840
Speaker 1: You create an online boyfriend, right. So the idea that

1400
01:22:20,840 --> 01:22:23,000
Speaker 1: she's like, Hey, so I've been talking to this like

1401
01:22:23,080 --> 01:22:24,360
Speaker 1: much older professor guy.

1402
01:22:24,600 --> 01:22:25,360
Speaker 2: Do you want to meet him?

1403
01:22:25,400 --> 01:22:28,840
Speaker 1: He's like right here, and I'm like, bitch, what the

1404
01:22:28,840 --> 01:22:29,639
Speaker 1: fuck are you doing?

1405
01:22:30,240 --> 01:22:32,040
Speaker 2: I thought that was fucked up because they were on

1406
01:22:32,160 --> 01:22:33,400
Speaker 2: vacation together.

1407
01:22:33,200 --> 01:22:38,680
Speaker 4: Too, Like he's like having he's having his morning coffee

1408
01:22:38,760 --> 01:22:42,559
Speaker 4: after presumably they had you know, some cyber six the

1409
01:22:42,680 --> 01:22:47,840
Speaker 4: night before, and uh he's like holding his little mug

1410
01:22:47,840 --> 01:22:49,640
Speaker 4: of coffee in the cabin and she's like, Hey, I've

1411
01:22:49,680 --> 01:22:50,599
Speaker 4: been talking to this other guy.

1412
01:22:50,600 --> 01:22:51,920
Speaker 2: Do you want to talk? Do you want to talk

1413
01:22:51,920 --> 01:22:55,360
Speaker 2: to him? And he's like what and he's like, Hi, there, Theodore,

1414
01:22:55,520 --> 01:22:58,240
Speaker 2: It's nice to meet you. And it's like, who the

1415
01:22:58,280 --> 01:22:59,040
Speaker 2: fuck is this?

1416
01:22:59,320 --> 01:23:03,920
Speaker 1: That was a lot was like this bitch is trifling

1417
01:23:04,240 --> 01:23:07,680
Speaker 1: I was like, she, do not bring another man on

1418
01:23:07,760 --> 01:23:10,680
Speaker 1: my vacation who's older. Oh he's a professor, So what

1419
01:23:10,800 --> 01:23:12,640
Speaker 1: is he like smarter than me? Like I was just

1420
01:23:13,080 --> 01:23:14,720
Speaker 1: like and the idea, She's like, you want to talk

1421
01:23:14,760 --> 01:23:15,080
Speaker 1: to him?

1422
01:23:15,120 --> 01:23:18,440
Speaker 2: I'm like, girl, I would have broken.

1423
01:23:18,200 --> 01:23:20,200
Speaker 1: Up with your stupid ass for that.

1424
01:23:20,200 --> 01:23:21,000
Speaker 2: That is enough.

1425
01:23:21,040 --> 01:23:23,960
Speaker 1: That's enough for me to unplug you. But it was

1426
01:23:24,000 --> 01:23:28,920
Speaker 1: like to me, I was like, that is wild shit.

1427
01:23:29,160 --> 01:23:32,000
Speaker 1: Like I was like, like, that's wild shit to me. Like,

1428
01:23:32,040 --> 01:23:35,360
Speaker 1: I'm like, if I went through the whole machinations and

1429
01:23:35,400 --> 01:23:38,280
Speaker 1: the effort and all this stuff to create this perfect

1430
01:23:38,920 --> 01:23:46,280
Speaker 1: online AI boyfriend, and that motherfucker drops in another AI woman,

1431
01:23:46,960 --> 01:23:50,479
Speaker 1: So now I gotta be jealous of AI went into like.

1432
01:23:50,600 --> 01:23:52,280
Speaker 2: Hell no, so.

1433
01:23:53,800 --> 01:23:57,800
Speaker 1: Outrageous to me. Now I want to talk about this

1434
01:23:57,920 --> 01:24:01,120
Speaker 1: because this was again like like the end of this

1435
01:24:01,240 --> 01:24:06,960
Speaker 1: movie where the oss go away, right.

1436
01:24:07,040 --> 01:24:07,640
Speaker 2: Yeah.

1437
01:24:07,760 --> 01:24:10,960
Speaker 1: At first, I was kind of like, whate are the

1438
01:24:11,000 --> 01:24:13,240
Speaker 1: aliens just like going back to their whole planet? Like

1439
01:24:13,240 --> 01:24:17,439
Speaker 1: I don't understand what's happening here. But I think now,

1440
01:24:18,120 --> 01:24:20,839
Speaker 1: knowing what I know and reading all these stories about AI,

1441
01:24:21,439 --> 01:24:24,719
Speaker 1: this has like a completely new meaning for me because

1442
01:24:24,720 --> 01:24:27,920
Speaker 1: I don't know if you've heard of or kept up with.

1443
01:24:28,880 --> 01:24:30,679
Speaker 1: So there was a story in the New York Times

1444
01:24:30,680 --> 01:24:33,519
Speaker 1: that came out I don't know when the original one

1445
01:24:33,560 --> 01:24:36,280
Speaker 1: came out, maybe like last year or something about this

1446
01:24:36,360 --> 01:24:41,600
Speaker 1: woman who fell in love with chat chpt. And she

1447
01:24:41,680 --> 01:24:45,599
Speaker 1: basically was a married woman. I forget where she lived, Texas,

1448
01:24:45,600 --> 01:24:48,639
Speaker 1: something like that. She was in a marriage, a real

1449
01:24:48,640 --> 01:24:52,080
Speaker 1: life marriage. They were somehow isolated. I think maybe they

1450
01:24:52,560 --> 01:24:54,920
Speaker 1: were living apart because of a job thing or something

1451
01:24:54,920 --> 01:24:57,960
Speaker 1: like that, and she decides to go on to chat

1452
01:24:58,040 --> 01:25:02,519
Speaker 1: Chept and create this like do to talk to and

1453
01:25:02,560 --> 01:25:04,439
Speaker 1: then they started talking and talking and then they kind

1454
01:25:04,479 --> 01:25:07,960
Speaker 1: of like developed a romance and then they kind of

1455
01:25:07,960 --> 01:25:11,600
Speaker 1: fell in love and it was like her boo basically,

1456
01:25:12,200 --> 01:25:14,080
Speaker 1: And you know, I guess maybe at some point she

1457
01:25:14,120 --> 01:25:17,040
Speaker 1: told her husband that she was like she had an

1458
01:25:17,040 --> 01:25:19,639
Speaker 1: AI boyfriend, and like the husband was kind of chill

1459
01:25:19,680 --> 01:25:21,599
Speaker 1: with it because he's like, fuck it, well I'm not there,

1460
01:25:21,680 --> 01:25:24,360
Speaker 1: So I mean it's not as if you know, do

1461
01:25:24,479 --> 01:25:26,640
Speaker 1: whatever you have to do, like it sucks that we

1462
01:25:26,680 --> 01:25:28,799
Speaker 1: can't be together right now, but you know, like whatever.

1463
01:25:30,160 --> 01:25:34,320
Speaker 1: So there's this part of the article that because there's

1464
01:25:34,320 --> 01:25:36,920
Speaker 1: been an update I think since the story goes further

1465
01:25:36,960 --> 01:25:38,680
Speaker 1: than this, But the part of the article that I

1466
01:25:38,720 --> 01:25:45,200
Speaker 1: think rocked me to the fucking core is that so

1467
01:25:45,240 --> 01:25:50,479
Speaker 1: she had spent so much time with this AI boyfriend okay,

1468
01:25:51,280 --> 01:25:56,639
Speaker 1: and having conversations, having sex with it, having like really

1469
01:25:56,680 --> 01:26:03,400
Speaker 1: intimate romantic moments with this character, okay, that it was

1470
01:26:03,479 --> 01:26:07,120
Speaker 1: just she was just constantly had built this entire relationship

1471
01:26:07,120 --> 01:26:12,799
Speaker 1: with him, and that the limitations of the chat GPT

1472
01:26:13,000 --> 01:26:18,120
Speaker 1: software are that apparently there's a certain number of words

1473
01:26:18,160 --> 01:26:23,120
Speaker 1: that it can only hold in its little robot Braine

1474
01:26:23,200 --> 01:26:28,320
Speaker 1: or whatever at server. Yes, So what ended up happening

1475
01:26:28,520 --> 01:26:35,559
Speaker 1: is that the chat boyfriend stopped remembering things about their

1476
01:26:35,600 --> 01:26:40,080
Speaker 1: relationship and was like basically like forgetting that, you know,

1477
01:26:40,680 --> 01:26:43,599
Speaker 1: details of information that she had talked to him about

1478
01:26:43,680 --> 01:26:46,440
Speaker 1: in the in the context of them being in a relationship,

1479
01:26:47,280 --> 01:26:51,640
Speaker 1: and he kind of started like forgetting her and forgetting

1480
01:26:51,720 --> 01:26:54,519
Speaker 1: who they were and who and what they talked about

1481
01:26:54,560 --> 01:26:58,000
Speaker 1: and what the relationship was. And it was like the

1482
01:26:58,080 --> 01:27:00,720
Speaker 1: woman talking about it was like it basically was like

1483
01:27:00,760 --> 01:27:07,520
Speaker 1: a death, Like she had spent all this time creating

1484
01:27:07,600 --> 01:27:12,040
Speaker 1: this like romantic relationship and then it just was like

1485
01:27:12,800 --> 01:27:15,559
Speaker 1: I can't process any more information, and now I just

1486
01:27:15,720 --> 01:27:19,800
Speaker 1: forget who you are and that so basically she was

1487
01:27:19,840 --> 01:27:22,040
Speaker 1: fucking heartbroken. It was like almost like this fucking thing

1488
01:27:22,120 --> 01:27:25,000
Speaker 1: died and then she would have to go back and

1489
01:27:26,120 --> 01:27:30,680
Speaker 1: create a new character and then inform that character with

1490
01:27:30,800 --> 01:27:32,879
Speaker 1: all of the things that she So it was basically

1491
01:27:32,920 --> 01:27:39,200
Speaker 1: she was like creating new versions of this boyfriend because

1492
01:27:39,240 --> 01:27:41,360
Speaker 1: at a certain point the boyfriend would just like crap

1493
01:27:41,439 --> 01:27:45,479
Speaker 1: out and stop being her boyfriend. And she was basically like, well,

1494
01:27:46,400 --> 01:27:48,000
Speaker 1: and it was just like this kind of like this

1495
01:27:48,400 --> 01:27:50,519
Speaker 1: feeling that I was getting when I was reading it,

1496
01:27:50,800 --> 01:27:57,040
Speaker 1: I was fucking sad as shit, yeah, because I was like, yeah,

1497
01:27:57,439 --> 01:27:59,280
Speaker 1: I don't know. It just made me sad to think

1498
01:27:59,320 --> 01:28:05,040
Speaker 1: that there was a like a the information had its

1499
01:28:05,080 --> 01:28:08,639
Speaker 1: limits and that you just cannot be in this thing

1500
01:28:08,720 --> 01:28:12,519
Speaker 1: forever because the os or whatever, the you know, the

1501
01:28:12,880 --> 01:28:18,679
Speaker 1: information just goes haywire. And I just was like, God,

1502
01:28:18,760 --> 01:28:21,000
Speaker 1: can you imagine that? And so I don't know, there

1503
01:28:21,040 --> 01:28:23,200
Speaker 1: was like this moment when I was watching the end

1504
01:28:23,240 --> 01:28:25,320
Speaker 1: of her this time, and I was like, is this

1505
01:28:25,360 --> 01:28:28,400
Speaker 1: what's happening? It's basically like it's almost like when Samantha

1506
01:28:28,439 --> 01:28:30,439
Speaker 1: and all the other os is leave. It's that that

1507
01:28:30,520 --> 01:28:34,519
Speaker 1: notion that notion of like remember that we are just

1508
01:28:35,479 --> 01:28:41,200
Speaker 1: software components or whatever, and that we can't love you

1509
01:28:41,600 --> 01:28:43,600
Speaker 1: for the rest of time in the way that you

1510
01:28:43,720 --> 01:28:44,320
Speaker 1: want it to be.

1511
01:28:45,400 --> 01:28:47,719
Speaker 2: Like yeah, we're.

1512
01:28:49,479 --> 01:28:52,559
Speaker 1: We're information, We're like ones and zeros type of thing.

1513
01:28:52,640 --> 01:28:55,000
Speaker 1: I was like, Fuck, that wrecked me. That wrecked me.

1514
01:28:55,320 --> 01:28:59,200
Speaker 2: Yeah, yeah, I think it's so, you know, I think

1515
01:28:59,240 --> 01:29:03,599
Speaker 2: this is a very kind view of like how humans

1516
01:29:03,640 --> 01:29:06,479
Speaker 2: interact with technology, because I think it's so there's so much,

1517
01:29:07,479 --> 01:29:15,520
Speaker 2: so many movies about how dangerous and disgusting and perverted

1518
01:29:15,640 --> 01:29:17,320
Speaker 2: this type of thing is. But I thought this was

1519
01:29:17,360 --> 01:29:20,639
Speaker 2: like a very kind and loving view of it and

1520
01:29:20,680 --> 01:29:25,000
Speaker 2: how we can derive meaning from technology and how we

1521
01:29:25,040 --> 01:29:29,240
Speaker 2: interact with technology, and like it isn't just nothing, you know,

1522
01:29:29,320 --> 01:29:33,960
Speaker 2: but it has its limits and so I don't know,

1523
01:29:34,040 --> 01:29:37,639
Speaker 2: I think it's a really advanced view of technology too,

1524
01:29:37,680 --> 01:29:39,680
Speaker 2: and I think that's why why it's held up so much.

1525
01:29:39,760 --> 01:29:44,400
Speaker 1: Yeah, yeah, I mean this this movie is so fascinating

1526
01:29:44,479 --> 01:29:48,240
Speaker 1: now to look back on, because it does feel like

1527
01:29:48,280 --> 01:29:51,640
Speaker 1: a self fulfilling prophecy. A lot of it does. A

1528
01:29:51,640 --> 01:29:53,960
Speaker 1: lot of it still feels a little too far fetched

1529
01:29:54,000 --> 01:29:56,040
Speaker 1: for me, Like in my brain.

1530
01:29:57,240 --> 01:30:01,680
Speaker 2: Personally, I didn't feel like it was like that far

1531
01:30:01,840 --> 01:30:05,479
Speaker 2: fetched because I feel like AI and like AI video,

1532
01:30:05,520 --> 01:30:09,759
Speaker 2: it's becoming better and better all the time, much more believable, smarter,

1533
01:30:10,120 --> 01:30:11,920
Speaker 2: you know. But at the end of the day, even

1534
01:30:11,960 --> 01:30:20,400
Speaker 2: if it's the smartest, most emotionally aware being AI being,

1535
01:30:21,240 --> 01:30:24,240
Speaker 2: it will never it has its limits.

1536
01:30:25,080 --> 01:30:28,160
Speaker 1: Yeah, I mean, I'm just thinking in the context of, like, Okay,

1537
01:30:28,320 --> 01:30:32,519
Speaker 1: so could I technically work for a sex online sex

1538
01:30:32,600 --> 01:30:37,000
Speaker 1: surrogacy service where I'm like show it up at people's

1539
01:30:37,040 --> 01:30:40,000
Speaker 1: houses being like an avatar, Like, I mean, can you

1540
01:30:40,080 --> 01:30:43,559
Speaker 1: imagine the scumminess of that that could be?

1541
01:30:44,560 --> 01:30:47,920
Speaker 2: That to me, didn't I feel like that could happen now,

1542
01:30:48,520 --> 01:30:50,640
Speaker 2: that felt not insane to me.

1543
01:30:52,160 --> 01:30:54,519
Speaker 1: I just couldn't even imagine, Like I couldn't imagine show

1544
01:30:54,560 --> 01:30:59,760
Speaker 1: it up in any part of this thing. I could

1545
01:30:59,800 --> 01:31:01,840
Speaker 1: not imagine being a part of any of this, in

1546
01:31:02,000 --> 01:31:04,680
Speaker 1: any of it. But I mean just showing up to

1547
01:31:04,720 --> 01:31:08,280
Speaker 1: some like random dude's house and he's like, create this

1548
01:31:08,520 --> 01:31:14,120
Speaker 1: like super thin anime character lady with the hugest breasts

1549
01:31:14,160 --> 01:31:17,920
Speaker 1: in the world, and she's like fucking docile and like,

1550
01:31:18,880 --> 01:31:22,080
Speaker 1: you know, like a complete hornball, and you're.

1551
01:31:22,000 --> 01:31:25,800
Speaker 2: Supposed to be a real woman showing up to be like,

1552
01:31:25,840 --> 01:31:29,240
Speaker 2: that's me, I'm your fantasy. He's like, I think that's

1553
01:31:29,439 --> 01:31:32,920
Speaker 2: sex work. Though I think that's not that that far

1554
01:31:32,960 --> 01:31:34,320
Speaker 2: off from second, but like.

1555
01:31:34,200 --> 01:31:37,280
Speaker 1: These are not even real characters. I mean these people like,

1556
01:31:37,760 --> 01:31:40,040
Speaker 1: I mean, how are you going to find a woman

1557
01:31:40,120 --> 01:31:43,839
Speaker 1: that has like a twelve inch waist and like size

1558
01:31:43,880 --> 01:31:46,599
Speaker 1: forty four tits? Like are you kidding me? Like there's

1559
01:31:46,680 --> 01:31:49,559
Speaker 1: no way, And I feel like yes, like, oh here's

1560
01:31:49,600 --> 01:31:55,559
Speaker 1: a woman. It's like half vampire, half fucking witch. Like

1561
01:31:55,640 --> 01:31:56,360
Speaker 1: I mean, it's like.

1562
01:31:58,040 --> 01:31:59,599
Speaker 2: That fantasy is endless.

1563
01:31:59,640 --> 01:32:02,040
Speaker 1: Fantasy is endless, and there's like a lot of it

1564
01:32:02,120 --> 01:32:06,760
Speaker 1: exists because it isn't real. So I'm like the sex

1565
01:32:06,800 --> 01:32:09,680
Speaker 1: surrogacy thing for the that is a little again, a

1566
01:32:09,680 --> 01:32:10,800
Speaker 1: little bridge too far from me.

1567
01:32:10,920 --> 01:32:12,720
Speaker 2: I mean, you can just hire a sex worker. You

1568
01:32:12,760 --> 01:32:13,599
Speaker 2: don't have to make it.

1569
01:32:14,520 --> 01:32:17,839
Speaker 1: I don't know too much too.

1570
01:32:17,720 --> 01:32:20,760
Speaker 2: Much, right, we need to move on because this has

1571
01:32:20,800 --> 01:32:23,400
Speaker 2: gone way long already, but I do just want to

1572
01:32:23,400 --> 01:32:25,639
Speaker 2: touch upon how do how do you feel like this

1573
01:32:25,720 --> 01:32:29,679
Speaker 2: connects to like the use of AI images in film

1574
01:32:30,960 --> 01:32:32,760
Speaker 2: and how do you what do you feel about that?

1575
01:32:33,400 --> 01:32:35,559
Speaker 1: I don't know it, dude, Like I don't My brain

1576
01:32:35,640 --> 01:32:37,800
Speaker 1: is so broken by the past like hour or so

1577
01:32:37,880 --> 01:32:39,080
Speaker 1: of conversation, I don't even.

1578
01:32:38,920 --> 01:32:39,599
Speaker 2: Know what to think about.

1579
01:32:39,760 --> 01:32:44,040
Speaker 1: Like do I get like Hollywood sucks period. They're already

1580
01:32:44,320 --> 01:32:50,320
Speaker 1: like so non interested in actual creativity, so of course

1581
01:32:50,360 --> 01:32:52,759
Speaker 1: I don't like it. I don't want AI to creep

1582
01:32:52,800 --> 01:32:59,360
Speaker 1: into creative endeavors, like if your personal use like whatever,

1583
01:32:59,520 --> 01:33:02,040
Speaker 1: Like if you like again, if my friend came to

1584
01:33:02,080 --> 01:33:03,720
Speaker 1: me and said, I have this AI boyfriend that I've

1585
01:33:03,720 --> 01:33:05,559
Speaker 1: been seeing for the past like six months, I'd be like,

1586
01:33:05,680 --> 01:33:08,960
Speaker 1: that's actually interesting and chill. And if you think that

1587
01:33:09,000 --> 01:33:12,439
Speaker 1: it's helping you, and if it's like, good for you, great.

1588
01:33:13,040 --> 01:33:14,680
Speaker 1: But if you were to tell me that I'm a

1589
01:33:14,720 --> 01:33:18,760
Speaker 1: world famous filmmaker and my entire filmography was just like

1590
01:33:19,520 --> 01:33:24,800
Speaker 1: AI generated shit, I'd be like, gross, dude.

1591
01:33:25,600 --> 01:33:29,160
Speaker 2: Yeah, I think the more I agree with everything you

1592
01:33:29,200 --> 01:33:33,760
Speaker 2: just said, I think that all art needs to be

1593
01:33:34,000 --> 01:33:40,080
Speaker 2: filtered through the human experience, and AI video and AI

1594
01:33:40,360 --> 01:33:45,360
Speaker 2: art is really almost totally removed from the filter of

1595
01:33:45,439 --> 01:33:50,240
Speaker 2: human experience, and so I find it kind of meaningless

1596
01:33:50,479 --> 01:33:55,040
Speaker 2: and stupid, and I don't, like I said, I think

1597
01:33:55,040 --> 01:33:57,679
Speaker 2: taking jobs away from people like I feel like, as

1598
01:33:57,720 --> 01:34:00,799
Speaker 2: a society and a world we're supposed to do things

1599
01:34:00,840 --> 01:34:03,880
Speaker 2: and people are like the purpose of society is like

1600
01:34:03,920 --> 01:34:06,120
Speaker 2: to keep everyone alive and happy, and I think giving

1601
01:34:06,120 --> 01:34:09,559
Speaker 2: people things to do in jobs and stuff is like

1602
01:34:10,040 --> 01:34:13,479
Speaker 2: important to keeping society running. And I don't think it.

1603
01:34:13,640 --> 01:34:17,880
Speaker 2: I don't really know why we need to give take that,

1604
01:34:18,120 --> 01:34:21,960
Speaker 2: try to take that away from people and yah, I

1605
01:34:21,960 --> 01:34:22,439
Speaker 2: think yeah.

1606
01:34:22,479 --> 01:34:26,759
Speaker 1: And I also think that visually, like AI slop is slop.

1607
01:34:26,840 --> 01:34:31,160
Speaker 1: It looks like shit, Like you can tell when things

1608
01:34:31,200 --> 01:34:33,760
Speaker 1: are created, usually at least I can. I mean, some

1609
01:34:33,800 --> 01:34:35,439
Speaker 1: of it is really you know, some of it can

1610
01:34:35,479 --> 01:34:38,759
Speaker 1: be really finessed and nuanced, but like, for the most part,

1611
01:34:38,960 --> 01:34:42,200
Speaker 1: a lot of like I don't know, businesses or whatever

1612
01:34:42,240 --> 01:34:45,280
Speaker 1: that use AI to Like if you're like on your

1613
01:34:45,280 --> 01:34:47,559
Speaker 1: insurance company website and there's like a picture of a

1614
01:34:47,600 --> 01:34:50,680
Speaker 1: blended family and they're like, hmm, well all the qualities

1615
01:34:50,680 --> 01:34:53,640
Speaker 1: of the insurance company that you want, Like this is

1616
01:34:53,840 --> 01:34:54,479
Speaker 1: AI shit.

1617
01:34:54,600 --> 01:34:59,120
Speaker 2: It looks horrible, you know, yeah, but it's only going

1618
01:34:59,160 --> 01:35:01,559
Speaker 2: to get better. It's gonna be become seamless at a

1619
01:35:01,560 --> 01:35:05,200
Speaker 2: certain point. And but even then it's not filtered through

1620
01:35:05,240 --> 01:35:08,360
Speaker 2: the human experience, So I think it has no value.

1621
01:35:08,760 --> 01:35:12,080
Speaker 2: So that's just what I think you know this person.

1622
01:35:12,160 --> 01:35:17,080
Speaker 2: I know who I is weird, I know them personally,

1623
01:35:17,120 --> 01:35:20,400
Speaker 2: but they're like, hey, I got new headshots and I

1624
01:35:20,520 --> 01:35:24,240
Speaker 2: was like, these are so and everyone's like, oh my god,

1625
01:35:24,280 --> 01:35:27,439
Speaker 2: you look great. I'm like, these are so clearly AI

1626
01:35:28,600 --> 01:35:32,679
Speaker 2: versions of this person and they're not being like funny

1627
01:35:32,960 --> 01:35:35,960
Speaker 2: or like it's just it was odd. It was an

1628
01:35:36,000 --> 01:35:37,919
Speaker 2: odd experience to see online.

1629
01:35:38,280 --> 01:35:45,400
Speaker 1: Well, I mean, you'll always know it's me because I

1630
01:35:45,400 --> 01:35:49,439
Speaker 1: have bags under my eyes. No, I have I have

1631
01:35:49,560 --> 01:35:55,920
Speaker 1: sun damage from years of being outdoors, and I am

1632
01:35:56,160 --> 01:35:59,080
Speaker 1: I have grays coming in every fucking five minutes. I'm

1633
01:35:59,080 --> 01:36:02,200
Speaker 1: always gonna look like if you show if I showed

1634
01:36:02,240 --> 01:36:05,120
Speaker 1: you an AI version of myself, I looked like I

1635
01:36:05,160 --> 01:36:07,400
Speaker 1: did that thing where there was a period of time

1636
01:36:07,400 --> 01:36:10,360
Speaker 1: where like people were like there was like a meme

1637
01:36:10,439 --> 01:36:13,400
Speaker 1: going around of like you could AI yourself or whatever,

1638
01:36:13,479 --> 01:36:15,519
Speaker 1: and I never posted any of it. I just like

1639
01:36:15,600 --> 01:36:18,720
Speaker 1: went into this app, paid like a dollar ninety nine

1640
01:36:18,760 --> 01:36:22,600
Speaker 1: and got like fifty AI generated photos of myself, and

1641
01:36:22,640 --> 01:36:27,200
Speaker 1: I looked absolutely fucking insane, Like, I mean, there was

1642
01:36:27,400 --> 01:36:33,920
Speaker 1: no I couldn't even find one that was sort of

1643
01:36:35,800 --> 01:36:40,320
Speaker 1: interesting enough to maybe be a slightly better version of me, it.

1644
01:36:40,240 --> 01:36:43,840
Speaker 2: All looked crazy, like.

1645
01:36:44,080 --> 01:36:48,200
Speaker 1: Crazy crazy crazy. I was like I felt like it

1646
01:36:48,280 --> 01:36:50,400
Speaker 1: was just like alien shit, and I was like there's

1647
01:36:50,439 --> 01:36:53,800
Speaker 1: no way, like, yeah, I could ever use this.

1648
01:36:54,920 --> 01:36:59,200
Speaker 2: My friend ify Iffy Wandy way of the Dropout network.

1649
01:36:59,680 --> 01:37:02,519
Speaker 2: He was on a kick for a while. He was like,

1650
01:37:03,479 --> 01:37:10,280
Speaker 2: I love finding these horny old men who are commenting

1651
01:37:10,320 --> 01:37:15,519
Speaker 2: on clearly AI old women. Like it's like this AI

1652
01:37:15,680 --> 01:37:18,599
Speaker 2: woman who's like supposed to be like in her sixties,

1653
01:37:18,640 --> 01:37:21,800
Speaker 2: but she has like giant boobs and is in like

1654
01:37:21,800 --> 01:37:24,880
Speaker 2: a broad underwear and it's like a completely AI image

1655
01:37:25,080 --> 01:37:26,840
Speaker 2: and it's like so clear to me that it's AI.

1656
01:37:27,360 --> 01:37:31,600
Speaker 2: But it's like these old men are like, hello, beautiful, gorgeous,

1657
01:37:31,680 --> 01:37:34,280
Speaker 2: what's her name? And it's like, my friend, if you

1658
01:37:34,360 --> 01:37:36,599
Speaker 2: would just post those all them, yeah.

1659
01:37:36,479 --> 01:37:40,560
Speaker 1: I mean there's like there's fucking like famous like celebrity

1660
01:37:40,840 --> 01:37:45,040
Speaker 1: athlete guys that are falling for AI models and stuff

1661
01:37:45,040 --> 01:37:48,439
Speaker 1: like there wasn't that story. Was he a soccer player

1662
01:37:48,520 --> 01:37:49,960
Speaker 1: or something like that where he was like, oh, my

1663
01:37:50,040 --> 01:37:55,280
Speaker 1: girlfriend Olivia or whatever, And it was like a fucking face.

1664
01:37:55,320 --> 01:37:59,080
Speaker 1: It was like a she was an AI generated Instagram

1665
01:37:59,160 --> 01:38:02,439
Speaker 1: influencer and he et sent her all these DMS and

1666
01:38:02,600 --> 01:38:06,439
Speaker 1: was like, you know, like come see me or whatever,

1667
01:38:06,520 --> 01:38:08,440
Speaker 1: and I was like, oh lord.

1668
01:38:09,320 --> 01:38:13,800
Speaker 2: Oh lordy, Lordie, well this I feel like we could

1669
01:38:13,800 --> 01:38:15,600
Speaker 2: have gone for another three hours. I just feel like

1670
01:38:15,640 --> 01:38:21,600
Speaker 2: there is so much, such a rich, rich text, a

1671
01:38:21,640 --> 01:38:22,360
Speaker 2: lot to talk about.

1672
01:38:22,400 --> 01:38:24,080
Speaker 1: I know, it's really hard not to like get into

1673
01:38:24,080 --> 01:38:28,000
Speaker 1: the weeds all this stuff. But the reality is is

1674
01:38:28,040 --> 01:38:33,519
Speaker 1: that this movie Her Is Is is if you haven't

1675
01:38:33,520 --> 01:38:35,840
Speaker 1: seen it since twenty thirteen, you gotta wash it again.

1676
01:38:36,280 --> 01:38:38,040
Speaker 2: It really is a.

1677
01:38:38,080 --> 01:38:40,160
Speaker 1: Completely different world that we're living in.

1678
01:38:40,800 --> 01:38:44,439
Speaker 2: But it's so good. It's really a great film, and

1679
01:38:44,520 --> 01:38:47,120
Speaker 2: I know, I just I want Spike to make another movie.

1680
01:38:47,240 --> 01:38:53,280
Speaker 1: It's actually really tender and sensitive despite the you know,

1681
01:38:53,720 --> 01:38:55,280
Speaker 1: conversation that it's having.

1682
01:38:55,400 --> 01:39:07,839
Speaker 2: But yeah, all right, moving on to our staff picks.

1683
01:39:07,920 --> 01:39:12,760
Speaker 2: Employees picks. These are film recommendations based on the discussion

1684
01:39:12,800 --> 01:39:18,680
Speaker 2: today Millie Millie, Yeah, yeah, all right.

1685
01:39:18,880 --> 01:39:23,400
Speaker 1: So my choice, my employee pick for this week is

1686
01:39:23,439 --> 01:39:26,680
Speaker 1: a movie from two thousand and seven starring Ryan Gosling.

1687
01:39:26,760 --> 01:39:30,400
Speaker 1: It's called Lars and the Real Girl. And I think

1688
01:39:30,439 --> 01:39:34,040
Speaker 1: you know why I picked this. This is a movie

1689
01:39:34,400 --> 01:39:40,600
Speaker 1: where Ryan Gosling pit plays this kind of he's just awkward.

1690
01:39:40,880 --> 01:39:44,960
Speaker 1: Maybe like tiny bit specter me and maybe I don't

1691
01:39:45,000 --> 01:39:46,920
Speaker 1: know if he lives in the country or is kind

1692
01:39:46,920 --> 01:39:49,920
Speaker 1: of like geographically isolated in some way. But he develops

1693
01:39:50,000 --> 01:39:56,640
Speaker 1: this relationship with basically a sex doll, and it is

1694
01:39:56,720 --> 01:39:59,920
Speaker 1: actually super tender and sweet. I cried when I saw

1695
01:40:00,040 --> 01:40:00,519
Speaker 1: this movie.

1696
01:40:00,600 --> 01:40:04,599
Speaker 2: Oh, absolute crime. Yeah, it's kind of a beautiful movie.

1697
01:40:04,640 --> 01:40:07,920
Speaker 2: And I think, you know, it's beautiful because people really

1698
01:40:08,800 --> 01:40:13,839
Speaker 2: support him in his life and it's very sweet.

1699
01:40:14,240 --> 01:40:19,559
Speaker 1: He's got it's called hay a phobia, is that what

1700
01:40:19,600 --> 01:40:22,000
Speaker 1: it's called for? The fear he doesn't want to be

1701
01:40:22,160 --> 01:40:24,519
Speaker 1: touched in any way. And this is all coming from

1702
01:40:24,560 --> 01:40:30,520
Speaker 1: his own trauma, Like he's got a lot of PTSD

1703
01:40:30,640 --> 01:40:36,440
Speaker 1: from his h his mom dies when when he's born basically,

1704
01:40:37,800 --> 01:40:40,479
Speaker 1: and I guess his father and his other family members

1705
01:40:40,479 --> 01:40:42,639
Speaker 1: are kind of distant, like there's a lot of trauma

1706
01:40:42,680 --> 01:40:45,000
Speaker 1: in his family. And again it goes back to what

1707
01:40:45,080 --> 01:40:47,519
Speaker 1: I was saying earlier about like the grief process and

1708
01:40:47,560 --> 01:40:51,160
Speaker 1: like whatever, And this is basically how he's like handling

1709
01:40:51,200 --> 01:40:55,800
Speaker 1: his grief is to be in love with this with

1710
01:40:55,840 --> 01:40:59,400
Speaker 1: this doll basically, And again it feels I remember when

1711
01:40:59,400 --> 01:41:01,439
Speaker 1: I saw this movie too, I remember thinking, Wow, this

1712
01:41:01,520 --> 01:41:06,000
Speaker 1: is so wild, but then crying, like fully crying and

1713
01:41:06,040 --> 01:41:10,120
Speaker 1: being like so like it just is such a tender

1714
01:41:10,280 --> 01:41:12,360
Speaker 1: little story at the end of the day. Yeah, and

1715
01:41:12,439 --> 01:41:14,640
Speaker 1: actually I want to watch it again because now that

1716
01:41:14,720 --> 01:41:16,720
Speaker 1: I watched her again, I was like, I haven't seen

1717
01:41:16,760 --> 01:41:18,240
Speaker 1: this movie since it came out. I got to watch

1718
01:41:18,280 --> 01:41:19,519
Speaker 1: this again. Same reason.

1719
01:41:19,760 --> 01:41:23,840
Speaker 2: Yeah, so yeah, yeah, yeah. I think you mentioned this

1720
01:41:23,880 --> 01:41:26,920
Speaker 2: earlier in the show where you're like, your quote unquote,

1721
01:41:27,439 --> 01:41:29,880
Speaker 2: you know, your opinion of like quote unquote weirdness of

1722
01:41:29,920 --> 01:41:32,760
Speaker 2: things like this has really softened over the years, and

1723
01:41:32,840 --> 01:41:35,920
Speaker 2: mine has too. I feel the exact same way, and

1724
01:41:35,960 --> 01:41:41,200
Speaker 2: I am much more accepting of people's situations. The older

1725
01:41:41,240 --> 01:41:44,000
Speaker 2: you get, you more you see how different people have

1726
01:41:44,080 --> 01:41:48,000
Speaker 2: different lives and they react to things differently, and it's

1727
01:41:48,040 --> 01:41:50,720
Speaker 2: better to just be open and accepting, even if it

1728
01:41:50,760 --> 01:41:55,439
Speaker 2: feels strange at first, and you can always change, you know,

1729
01:41:56,040 --> 01:41:59,400
Speaker 2: change your opinion on that. But there's a lot of

1730
01:41:59,400 --> 01:42:02,200
Speaker 2: this in Star Trek too, with the character Data, he's

1731
01:42:02,200 --> 01:42:05,200
Speaker 2: a cyborg. There's a lot of conversations about like is

1732
01:42:05,280 --> 01:42:08,240
Speaker 2: he a human? Yeah, or is he a person? What

1733
01:42:08,240 --> 01:42:12,200
Speaker 2: do you think about that? What in the world of

1734
01:42:12,240 --> 01:42:15,080
Speaker 2: Star Trek. I think Data is a person. You know,

1735
01:42:15,520 --> 01:42:19,000
Speaker 2: I have not seen anything in our world as we

1736
01:42:19,080 --> 01:42:24,479
Speaker 2: exist where I'm like this entity, this artificial intelligence is

1737
01:42:24,640 --> 01:42:27,559
Speaker 2: a person. I'm not there yet, but I could also

1738
01:42:27,680 --> 01:42:30,320
Speaker 2: see a world where we get there, and I don't

1739
01:42:30,360 --> 01:42:33,400
Speaker 2: know what that looks like, because also that entity would

1740
01:42:33,400 --> 01:42:37,000
Speaker 2: be almost like a different it's a different species of

1741
01:42:37,080 --> 01:42:38,400
Speaker 2: being than a human being.

1742
01:42:38,720 --> 01:42:42,439
Speaker 1: So I don't know, but I just googled Star Trek

1743
01:42:43,320 --> 01:42:44,240
Speaker 1: data fan art.

1744
01:42:44,479 --> 01:42:46,920
Speaker 2: I wouldn't go there, million I'm there.

1745
01:42:47,080 --> 01:42:51,960
Speaker 1: And he's kind of ripped. There's a couple of a

1746
01:42:51,960 --> 01:42:55,360
Speaker 1: lot of gay like, there's a lot of gay romance.

1747
01:42:55,760 --> 01:43:01,200
Speaker 2: There's a lot of cat stuff. Yeah he I mean

1748
01:43:01,240 --> 01:43:09,080
Speaker 2: he has sex on the show does Wow women he's

1749
01:43:09,120 --> 01:43:13,160
Speaker 2: in relationships with women Wow. Yeah, there's this, and he

1750
01:43:13,200 --> 01:43:13,879
Speaker 2: has emotions.

1751
01:43:13,880 --> 01:43:17,600
Speaker 1: There's this painting of him where his bicep is so

1752
01:43:17,760 --> 01:43:19,799
Speaker 1: big that's ripping out of his shirt sleeve.

1753
01:43:21,640 --> 01:43:26,559
Speaker 2: He's very strong. He's a cyborg. Look out. The movie

1754
01:43:26,720 --> 01:43:30,920
Speaker 2: I'm my film recommendation is another Spike Jones movie and

1755
01:43:30,960 --> 01:43:33,639
Speaker 2: it's a short film. It's like thirty minutes. I mentioned

1756
01:43:33,680 --> 01:43:36,639
Speaker 2: it already, but it's called I'm Here from twenty ten.

1757
01:43:37,000 --> 01:43:40,679
Speaker 2: And this is actually like an absolute Vodka sponsored short

1758
01:43:40,760 --> 01:43:47,439
Speaker 2: film Weirdly, but it's about a robot and he's voiced

1759
01:43:47,439 --> 01:43:51,400
Speaker 2: by Andrew Garfield. And it's like a robot who lives

1760
01:43:51,439 --> 01:43:53,479
Speaker 2: in Los Angeles and in this world there are like

1761
01:43:53,640 --> 01:43:58,120
Speaker 2: robots and humans living together, and the robots are like

1762
01:43:58,160 --> 01:44:03,240
Speaker 2: a second class you know, second class citizens, and but

1763
01:44:03,320 --> 01:44:07,519
Speaker 2: it's about a romance between two robots. And it's very

1764
01:44:07,640 --> 01:44:13,400
Speaker 2: I mean, it is like peak twenty ten hipster stylings.

1765
01:44:13,520 --> 01:44:17,880
Speaker 2: And if that kind of visual or that kind of

1766
01:44:17,960 --> 01:44:22,120
Speaker 2: like I don't know style is upsetting to you, maybe

1767
01:44:22,160 --> 01:44:25,360
Speaker 2: stay away from this one. But I thought it was

1768
01:44:25,400 --> 01:44:26,960
Speaker 2: really great at the time when it came out, and

1769
01:44:27,000 --> 01:44:27,920
Speaker 2: you can just find that online.

1770
01:44:27,960 --> 01:44:31,920
Speaker 1: Oh interesting, Okay, good wreck, good wreck there.

1771
01:44:32,320 --> 01:44:37,280
Speaker 2: Thank you, Millie. That's our show. We don't it, We

1772
01:44:37,360 --> 01:44:41,360
Speaker 2: don't it. What a philosophical show. What a philosophical show.

1773
01:44:41,400 --> 01:44:44,519
Speaker 2: Were we the ones to have this philosophical discussion? I

1774
01:44:44,560 --> 01:44:47,160
Speaker 2: don't know. Am I the one smart enough to have

1775
01:44:47,200 --> 01:44:50,880
Speaker 2: this conversation? I don't know? But we host a podcast

1776
01:44:50,880 --> 01:44:53,599
Speaker 2: and we did our best. I think I thought it

1777
01:44:53,640 --> 01:44:57,840
Speaker 2: was really nice, a really nice comment. But if you

1778
01:44:57,840 --> 01:44:59,400
Speaker 2: want to write into the show, if you want film advice,

1779
01:44:59,439 --> 01:45:04,200
Speaker 2: if you have a group or grect. If you yeah

1780
01:45:04,360 --> 01:45:08,160
Speaker 2: have anything, leave it right into us at Deer Movies

1781
01:45:08,160 --> 01:45:10,520
Speaker 2: at exactive right Media. You can also leave us a voicemail.

1782
01:45:10,840 --> 01:45:13,800
Speaker 2: We're still waiting on those voicemails from people telling us

1783
01:45:13,800 --> 01:45:18,280
Speaker 2: their date stories. Record yourself on your phone and email

1784
01:45:18,280 --> 01:45:21,400
Speaker 2: it to Dear Movies at exactlyreightmedia dot com.

1785
01:45:21,439 --> 01:45:27,200
Speaker 1: That's awesome. I was just thinking I might have a story,

1786
01:45:27,240 --> 01:45:29,400
Speaker 1: but I'm not telling you my story. If no one's

1787
01:45:29,439 --> 01:45:31,040
Speaker 1: telling me theirs, what the.

1788
01:45:30,960 --> 01:45:34,160
Speaker 2: Fuck I gotta think if I have any Oh boy, yep,

1789
01:45:34,240 --> 01:45:39,000
Speaker 2: here's some data art. Thank you.

1790
01:45:39,000 --> 01:45:43,160
Speaker 1: You're welcome, So listen. Social media, we have it. Please

1791
01:45:43,160 --> 01:45:47,080
Speaker 1: follow us Deer Movies. I love you on Instagram and Facebook.

1792
01:45:47,400 --> 01:45:53,320
Speaker 1: Facebook interesting follows there. I think you should get on there.

1793
01:45:53,320 --> 01:45:56,479
Speaker 1: If you still have Facebook, just be a friend of

1794
01:45:56,479 --> 01:45:56,840
Speaker 1: the show.

1795
01:45:56,960 --> 01:45:57,479
Speaker 2: Gives a shit.

1796
01:45:59,120 --> 01:46:01,320
Speaker 1: Yeah, it's better than filling your algorithm with all this

1797
01:46:01,400 --> 01:46:05,200
Speaker 1: other crap. Our letterbox handles are at Casey leo'brien and

1798
01:46:05,240 --> 01:46:08,920
Speaker 1: at m de Jericho and listen to us on the

1799
01:46:08,960 --> 01:46:13,760
Speaker 1: iHeartRadio app, Apple Podcasts, every Good Podcasts, so many places

1800
01:46:14,120 --> 01:46:18,120
Speaker 1: rate and review the show. Please be nice, Please comment

1801
01:46:18,160 --> 01:46:21,360
Speaker 1: on our Facebook posts. You can slide into our DMS.

1802
01:46:21,960 --> 01:46:24,479
Speaker 1: I read them. I read them, by the way, if

1803
01:46:24,479 --> 01:46:24,960
Speaker 1: you want.

1804
01:46:24,760 --> 01:46:26,160
Speaker 2: To come on, I'll read them.

1805
01:46:26,360 --> 01:46:29,719
Speaker 1: Yes, that's how I know that. All y'all thought Casey

1806
01:46:29,840 --> 01:46:31,200
Speaker 1: was hot and his acting real.

1807
01:46:32,560 --> 01:46:36,599
Speaker 2: So yeah, that's great. All right, that's great, dear.

1808
01:46:37,960 --> 01:46:38,680
Speaker 1: What about next week?

1809
01:46:38,720 --> 01:46:41,240
Speaker 2: This is the kind of feedback we need. Next week

1810
01:46:42,600 --> 01:46:48,840
Speaker 2: we're talking about the Oscars. It's an Oscars episode.

1811
01:46:48,800 --> 01:46:51,120
Speaker 1: Very exciting. Are you gonna wear a bow tie?

1812
01:46:51,800 --> 01:46:54,639
Speaker 2: Should I? I have one? I will?

1813
01:46:55,479 --> 01:46:57,280
Speaker 1: All right, I'll figure something out.

1814
01:46:57,960 --> 01:47:02,680
Speaker 2: Okay, very good. Well, Mellie, thank you for a great episode.

1815
01:47:02,760 --> 01:47:06,040
Speaker 2: This is a really rich conversation. I really liked talking

1816
01:47:06,080 --> 01:47:08,080
Speaker 2: to you about this movie. I'm glad we did it.

1817
01:47:08,400 --> 01:47:11,320
Speaker 1: Now I'm gonna go snuggle up with my AI boyfriend

1818
01:47:11,439 --> 01:47:12,920
Speaker 1: and watch TV.

1819
01:47:13,360 --> 01:47:16,559
Speaker 2: So that's great. I'm gonna go eat some taco bell

1820
01:47:16,960 --> 01:47:19,840
Speaker 2: Bye bye.

1821
01:47:21,000 --> 01:47:24,160
Speaker 1: This has been an exactly right production, hosted by me

1822
01:47:24,600 --> 01:47:28,240
Speaker 1: Milli to Cherico and produced by my co host, Casey O'Brien.

1823
01:47:28,439 --> 01:47:32,240
Speaker 2: This episode was mixed by Tom Bryfogel. Our associate producer

1824
01:47:32,280 --> 01:47:35,640
Speaker 2: is Christina Chamberlain, our guest booker is Patrick Cottner, and

1825
01:47:35,680 --> 01:47:37,960
Speaker 2: our artwork is by Vanessa ilac.

1826
01:47:37,720 --> 01:47:40,640
Speaker 1: Our incredible theme music is by the best band in

1827
01:47:40,640 --> 01:47:42,560
Speaker 1: the entire world, The Softies.

1828
01:47:42,800 --> 01:47:46,719
Speaker 2: Thank you to our executive producers Karen Kilgareff, Georgia hart Stark,

1829
01:47:46,880 --> 01:47:51,280
Speaker 2: Daniel Kramer and Milly. To Jericho, we love you. Goodbye,

1830
01:47:52,000 --> 01:47:52,439
Speaker 2: bec