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Speaker 1: There Are No Girls on the Internet. As a production

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Speaker 1: of iHeartRadio and Unbossed Creative. I'm Bridget Todd, and this

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Speaker 1: is there are No Girls on the Internet. So it

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Speaker 1: is no surprise to anybody who listens to this podcast

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Speaker 1: that I love any opportunity to talk about movies. We

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Speaker 1: actually have an interesting interview coming up with Stacy Spikes,

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Speaker 1: the founder of Movie Past, which is very exciting for

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Speaker 1: me personally. I listened to a ton of movie podcasts

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Speaker 1: and honestly, being able to talk about movies all day

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Speaker 1: for the Ringer or something like that would be a

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Speaker 1: dream job for me. Movies occupy a lot of my

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Speaker 1: personal free time. I was re listening to the episode

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Speaker 1: that we did breaking down the movie Her back when

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Speaker 1: it was in the news, because Sam Alton said it

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Speaker 1: was his favorite movie and maybe sort of kind of

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Speaker 1: stole Scarlett Johansson's voice from that movie for his AI,

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Speaker 1: And so we did a podcast recapping that movie here

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Speaker 1: on the show with my producer Mike, and it was

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Speaker 1: honestly so much fun, right, Mike.

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Speaker 2: It was fun. It was nice to take a break

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Speaker 2: from the news cycle, which is typically bad stuff, and

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Speaker 2: just talk about a movie. It was a lot of fun.

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Speaker 1: Oftentimes, even though I start these movie podcasts episodes as

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Speaker 1: a break from the news, oftentimes I feel they end

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Speaker 1: up really overlapping with what's happening at least in tech

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Speaker 1: news or culture news, because I do think films tell

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Speaker 1: us a lot about what was top of mind for

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Speaker 1: us as a culture when they were made, and oftentimes

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Speaker 1: that is tech related. I actually have an entire list

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Speaker 1: of movies that I am interested in talking about on

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Speaker 1: the podcast. For instance, we just watched HBO's Mountainhead. So

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Speaker 1: if that is something that you all would like us

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Speaker 1: to do more of, let us know. If you listen

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Speaker 1: to this episode and you're like, yes, more bridget recapping movies,

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Speaker 1: let us know. If that's also something that you don't

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Speaker 1: want to hear that, it's fine. You can let me

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Speaker 1: know that too. If you're like, keep it, keep it

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Speaker 1: on your personal time being. Nobody wants to hear you

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Speaker 1: talk about ex. Machina, that's fine too.

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Speaker 2: Yeah, that would be great. We love to hear from listeners.

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Speaker 2: Just email us at hello at tangote dot com or.

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Speaker 1: I also just recently realized that Spotify if it has

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Speaker 1: individual episode comments. Now and I'm I'm in the comments.

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Speaker 1: So if you happen to be listening on Spotify and

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Speaker 1: you want to drop a comment and there I read them.

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Speaker 1: I think it's super cool leave comments there. It's been

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Speaker 1: a joint to read them. Thank you for people who

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Speaker 1: have done that already, because it's exciting to me.

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Speaker 2: The premise of what you just said, I think is

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Speaker 2: pretty close to the premise of the show in general,

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Speaker 2: the idea that technology underlies a lot of cultural stuff,

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Speaker 2: you know, just like the way culture is arises because

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Speaker 2: of technology, and so it's I think that's something we

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Speaker 2: try to highlight on the show. And it's fun to

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Speaker 2: back up and look at some of these movies from

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Speaker 2: a few years or even decades ago and think about

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Speaker 2: how they what they got right, and maybe what they

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Speaker 2: got not so right.

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Speaker 1: It's one of the reasons why I started There Are

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Speaker 1: No Girls on the Internet is because when we talk

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Speaker 1: about technology, it is hard to remember sometimes that we're

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Speaker 1: not just talking about hardware or like hard.

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Speaker 3: Tech, tech is also culture.

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Speaker 1: Tech is also the culture that shaped technology, the conversation

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Speaker 1: around it, the way that people use the technology or

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Speaker 1: didn't use the technology to create and shipped culture.

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Speaker 3: All of that is tech and it's.

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Speaker 1: So easy for that to get lost, And what better

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Speaker 1: way to commemorate that and revisit that than through the

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Speaker 1: lens of film, my favorite medium. So what movie are

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Speaker 1: we going to be talking about today.

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Speaker 2: Mike, Today we are going to be talking about the

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Speaker 2: movie smart House.

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Speaker 1: Yes, the nineteen ninety nine Disney Channel original classic Smart House.

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Speaker 3: So it is.

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Speaker 1: Genuinely a good movie. At times, I actually teared up

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Speaker 1: when watching this movie, probably because of my own personal

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Speaker 1: life stuff I've got going on, but it is genuinely

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Speaker 1: a good movie, and it's a movie that I think

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Speaker 1: very clearly has something to say about the way that

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Speaker 1: humans interact with technology.

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Speaker 3: I wanted to start with smart House.

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Speaker 1: Because one Joe and I have discussed it on the

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Speaker 1: podcast a few times, and too, I think smart House

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Speaker 1: is an entry point into a question that often comes

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Speaker 1: up that I'm asked personally often when people find out

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Speaker 1: I hope the Tech podcast. Do you have smart gadgets

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Speaker 1: in your home? Are you pro or anti smart gadget?

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Speaker 1: And I think that like that being a grounding, foundational

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Speaker 1: question really speaks.

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Speaker 3: To some of what's happening in this film.

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Speaker 1: So to answer the question, I actually don't have any

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Speaker 1: smart gadgets in my home other than my iPhone, that's

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Speaker 1: the smartest gadget that I own. It kind of helps

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Speaker 1: being broke. You know, my car is fifteen years old.

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Speaker 3: I don't have a lot of the even even my phone.

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Speaker 1: I rock an iPhone eleven, like one of the earliest

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Speaker 1: iterations of an iPhone that you can have and still

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Speaker 1: like get working. But I also recognize that I am

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Speaker 1: coming into contact with smart gadgets quite a lot, even

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Speaker 1: outside of my home, and so I'm not judgmental people

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Speaker 1: who have made the choice that it's better just to

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Speaker 1: say Siri, do da da da, Like, I'm not judging

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Speaker 1: those people. It's just not something that I have in

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Speaker 1: my life. But I think that tension is really what

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Speaker 1: this film is about, like the tension of like, well,

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Speaker 1: where's the line from convenience to maybe being a little

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Speaker 1: bit creepy. I think this movie was very interested in

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Speaker 1: exploring all of that.

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Speaker 2: I think that connects back to that question you said

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Speaker 2: that you get from people when you tell them you

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Speaker 2: make a show about technology, they ask if you have

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Speaker 2: a smart home, because you know, one of the functions

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Speaker 2: of technology is to make our lives easier, allow us

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Speaker 2: to be more productive, get more done, or perhaps automate

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Speaker 2: something and not have to do it at all. And

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Speaker 2: so when one thinks about, you know, technology, it's like, Okay,

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Speaker 2: it's going to replace a lot of the work you do.

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Speaker 2: It's gonna improve your life in your home, so why

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Speaker 2: not get it? And then I think there's sort of

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Speaker 2: a second level past that first initial phase of like, oh,

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Speaker 2: all these tasks I have to do in my home,

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Speaker 2: technology could make it better. But then you think about

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Speaker 2: that a little bit and get a little bit more

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Speaker 2: critical about it, like what are the risks of it?

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Speaker 2: Do I really want that? And I think this film

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Speaker 2: is sets up those questions in some interesting ways.

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Speaker 1: So let's get into it. We'll talk about the culture

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Speaker 1: that birth this film nineteen ninety nine, will do a

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Speaker 1: plot summary with a few diversions. We'll talk through what

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Speaker 1: the movie gets right and wrong about technology and sort

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Speaker 1: of what it's trying to say about all of it.

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Speaker 1: So Smart Heels came out in nineteen ninety nine, which

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Speaker 1: I think I've mentioned on the podcast, is my single

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Speaker 1: favorite year for film, like real og, Cinema files, No,

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Speaker 1: it's when my personal favorite film of all time. Talented

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Speaker 1: mister Riple came out, and whenever I talk about why

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Speaker 1: I love nineteen ninety nine as a film, heere. It

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Speaker 1: just seems like we were very interested in making movies

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Speaker 1: that grapple with what it all means.

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Speaker 3: I think that I don't know, it was pre nine

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Speaker 3: to eleven.

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Speaker 1: We were just very invested in looking at I guess

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Speaker 1: it was like a navel gazy year, but it really

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Speaker 1: did release some like banger illustrations of what it all means, what's.

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Speaker 3: Our purpose here? Why are we here? What does it

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Speaker 3: mean to be a human.

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Speaker 1: This is obviously also true for tech films, with big

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Speaker 1: blockbusters like The Matrix, which came out in nineteen ninety nine,

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Speaker 1: but also lesser known movies that probably only I saw,

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Speaker 1: like Robin Williams's Bisentennial Man, which is an adaptation of

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Speaker 1: an Isaac Asimov short story, which I mentioned because it

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Speaker 1: kind of reminds me a lot of Smart House. I

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Speaker 1: think that we were really interested in how humans, especially

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Speaker 1: young people, would be in a relationship with technology in

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Speaker 1: the future, and that's sort of an anxiety that we're

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Speaker 1: seeing in nineteen ninety nine with some of these movies.

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Speaker 2: Yeah, two other big movies that you left off that

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Speaker 2: list were American Beauty and Fight Club. You know, like,

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Speaker 2: maybe it's just because I was just starting college as

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Speaker 2: a young fresh freshman at the time, but like I

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Speaker 2: remember the millennium happening, it seemed like the world was changing.

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Speaker 2: The Internet was this new thing. Dot com bubble had

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Speaker 2: not yet burst, so it seemed like the sky was

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Speaker 2: the limit on what technology was going to be able

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Speaker 2: to do for us. And yet we were, like you said,

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Speaker 2: grappling with what does it all mean? What is our

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Speaker 2: place in this new world? And Fight Club and American Beauty,

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Speaker 2: and to an extent, talented mister Ripley also had there

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Speaker 2: somewhat darker answers to that question. Smart House had a

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Speaker 2: much more optimistic answer.

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Speaker 1: I think, can I say something about those films that

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Speaker 1: will never not be interesting to me that in nineteen

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Speaker 1: ninety nine, the worst thing a white man could have

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Speaker 1: is a stable job and like a nice house in

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Speaker 1: the suburbs. If you're Tyler Dirdan from Fight Club or

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Speaker 1: Lester Burnham from American Beauty or the guy from Office Space,

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Speaker 1: and you've got a good white collar job and a

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Speaker 1: big house in the suburbs, ooh, you are struggling you

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Speaker 1: a grab. What is this prison I am built for

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Speaker 1: myself with this stable nine to five job before a

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Speaker 1: one K healthcare and a nice house.

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Speaker 2: Yeah, and at the time it felt empty, like the

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Speaker 2: promise of the fifties unfulfilled. But now in twenty twenty five,

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Speaker 2: looking back, it feels like we have replaced that emptiness

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Speaker 2: with pain and misery.

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Speaker 1: Although keep that idea of the fifties and sort of

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Speaker 1: the promise and the lie of what the sort of

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Speaker 1: fifties Jetsons era promised us from technology, because that definitely

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Speaker 1: comes into play with Smart House. So Smart House was

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Speaker 1: directed by LeVar Burton from reading Rainbow Roots Star Trek

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Speaker 1: that blew my mind. He has actually talked quite a

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Speaker 1: bit about this movie publicly. We'll get into some of that.

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Speaker 1: Smart House was loosely based on a Ray Bradberry short

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Speaker 1: story called The Velt, wherein two children murder their parents

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Speaker 1: by feeding them to lions because of the influence of

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Speaker 1: their malevolent virtual reality nursery. So definitely they made it

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Speaker 1: a little cheerier in the Disney version. I can see

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Speaker 1: how they're like, maybe we shouldn't have these kids completely

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Speaker 1: turn on their parents, because it is Disney after all.

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Speaker 2: That is so interesting. I didn't know that fact that

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Speaker 2: it was based on a darker Ray Bradbury story. But

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Speaker 2: it makes sense because there were several parts of this

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Speaker 2: movie where I really wanted it to be darker. Like

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Speaker 2: I understand it's a movie for kids, so I can't

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Speaker 2: really have murders, but it's a story that wanted to

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Speaker 2: be darker for sure, So that makes sense.

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Speaker 1: I mean, there are parts of the movie where smart

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Speaker 1: House is doing something that I think is like a

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Speaker 1: look like smart House assaults people. That's a crime, Like

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Speaker 1: like she might not be going to all out murder,

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Speaker 1: but she you know, there's some darkness.

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Speaker 3: So let's get into the plot of what happens in

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Speaker 3: this movie.

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Speaker 1: So Smart House opens on Ben, who is thirteen and

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Speaker 1: lives with his single father and his little sister, Angie

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Speaker 1: in Monroe County, New York.

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Speaker 3: You're gonna hear.

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Speaker 1: Me say this over and over again in the plot summary.

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Speaker 1: Ben's dad is a jerk and a terrible father. Ben

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Speaker 1: is really parentized by his father. So Ben, as a

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Speaker 1: thirteen year old little kid, has taken on a huge

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Speaker 1: amount of responsibilities around the house that really should be

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Speaker 1: falling to his father. Ben cooks he's responsible for the

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Speaker 1: bulk of childcare for his younger sister. He doesn't really

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Speaker 1: seem to have a problem with it. But the dad

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Speaker 1: is kind of interested in dating, which, okay, sure, that's

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Speaker 1: your right as a single father. Interesting to me that

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Speaker 1: he is not more interested in picking up domestic responsibilities

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Speaker 1: so his thirteen year old child doesn't have to do them.

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Speaker 1: He's like, I should be dating more. Ben does not

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Speaker 1: want his dad to date, and so to prevent his

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Speaker 1: dad from dating, he's not giving him messages when women

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Speaker 1: call the house and that kind of thing, because Ben

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Speaker 1: is like, we don't need anybody else.

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Speaker 3: We're good as is.

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Speaker 1: Ben has a plan that he thinks is going to

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Speaker 1: solve all of the family's problems, which is rigging a

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Speaker 1: contest to win a smart home in this giveaway. Side note,

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Speaker 1: I'm not totally sure how this is a viable business plan. Basically,

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Speaker 1: this engineering team led by this like smart neurotic woman Sarah,

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Speaker 1: who will talk about more in a minute, they have

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Speaker 1: this plan where they have designed this futuristic smart house

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Speaker 1: that does all anything that you could ever want, that

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Speaker 1: the house is capable of doing it for you, and the.

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Speaker 3: Model is there.

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Speaker 1: Just picking someone in a contest to give this house

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Speaker 1: away for free to that family will move into the house,

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Speaker 1: and I guess it will generate buzz, like they will

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Speaker 1: they put an article, They put one article on the

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Speaker 1: paper about it.

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Speaker 3: Like, I don't understand how this is a viable business plan.

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Speaker 1: There's gotta be some venture capital money driving some bad

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Speaker 1: decisions that maybe will not pan out in the end financially.

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Speaker 2: Yeah, the business aspect really doesn't make sense because yeah,

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Speaker 2: they they build this smart house which must have cost

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Speaker 2: a fortune, and then they just give it away. And

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Speaker 2: so if it was a marketing thing, you might expect

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Speaker 2: some like reporters or photographers to be around, but that

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Speaker 2: is just like never returned to like.

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Speaker 1: They I mean, they have the one when the family

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Speaker 1: moves in, there's a handful of reporters there taking pictures,

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Speaker 1: but it's never returned to again. It's like, oh, so

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Speaker 1: you did all of this, you designed this house and

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Speaker 1: move this family in, had this big contest for maybe

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Speaker 1: two articles in the paper and like one photo.

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Speaker 2: Yeah, the marketing plan really needs some work, I think,

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Speaker 2: but not a major part of the movie.

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Speaker 1: No, No, I mean I have so many questions I

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Speaker 1: guess in terms of my ability to suspend disbelief. There

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Speaker 1: might be bigger things that happen in the movie that

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Speaker 1: I should be turning my attention to. I guess I'll

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Speaker 1: put it that way. Let's take a quick break at

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Speaker 1: her back. I do love the plucky lady engineer who

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Speaker 1: has designed the house, Sarah H. When we first meet her,

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Speaker 1: she they're sort of going for. She's she's neurotic and

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Speaker 1: type A and a little bit quirky. And then she's

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Speaker 1: working and she's also like very worried about the state

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Speaker 1: of Smart House. She's down on our hands and knees,

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Speaker 1: like picking hairs off the carpet to make sure it's perfect.

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Speaker 3: Meanwhile, her colleague, who I.

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Speaker 1: Mean, he seems like he's almost like zooted out on pills.

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Speaker 1: He could not he could not be less stressed about

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Speaker 1: the Smart House situation.

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Speaker 2: He's the guy who put the marketing place together. He's

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Speaker 2: like the comms guy.

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Speaker 3: Oh, I think I see what's going on here.

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Speaker 1: The pilled out PR guy is making some bad decisions

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Speaker 1: that are maybe we'll reflect poorly on the female engineer

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Speaker 1: who's doing all the work.

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Speaker 3: I think I see what's.

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Speaker 1: Going on here. Yeah, so Ben and his family win Smarthouse.

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Speaker 1: Ben has rigged this contest successfully and it works. They

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Speaker 1: move into Smart House. Sarah is there to show them

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Speaker 1: how it all works. Smarthouse has to take a prick

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Speaker 1: of their blood to do a bio analysis to get

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Speaker 1: a sense of I mean the science here. I'm not

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Speaker 1: so sure about the science here. But when they go

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Speaker 1: into the house, smart House has a sense of their

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Speaker 1: you know, diet, nutrition, temperature, things like that, and she

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Speaker 1: needs to take a.

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Speaker 3: Little bit of blood Elizabeth Holmes style to do that.

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Speaker 2: Yeah, based on that one prick of blood, the Smart

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Speaker 2: House is able to know like everything about them, like

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Speaker 2: so much about them, more than Elizabeth Holmes could ever dream.

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Speaker 2: And it analyzes their breaths like some kind of breathalyzer

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Speaker 2: to know everything about their diet, like what proportion of

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Speaker 2: their diet is protein or fat. It's really star treky actually,

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Speaker 2: like not surprising that, Like you know, Jeordie LaForge directed

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Speaker 2: this film.

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Speaker 1: Oh, this thing's got LeVar Burton's hand prints all over it. Absolutely,

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Speaker 1: So this is where we really get the bulk of

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Speaker 1: the story of like what's going on with this family.

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Speaker 1: Their their mom has passed away and Ben is terrified

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Speaker 1: of his mother's memory being raised, so he really kind

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Speaker 1: of can't move on. He's very much kind of trapped

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Speaker 1: both and in the past and in the present where

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Speaker 1: he has to do all of this stuff, all the

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Speaker 1: cooking and the cleaning and keep running their lives so

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Speaker 1: that their dad doesn't date and potentially replace their mom.

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Speaker 1: And so that sort of is the core tension at

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Speaker 1: the heart of the film. They move into smart House

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Speaker 1: and hey, maybe smart House can replace their mom.

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Speaker 3: It seems like things are going pretty well.

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Speaker 1: Like this is the part of the movie where if

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Speaker 1: they stopped it, it would be like a very short

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Speaker 1: movie where smart.

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Speaker 3: House worked out great. So smart House.

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Speaker 1: Uses technology that's called personal Applied Technology or PAT. So

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Speaker 1: PAT is the name that they that they give smart

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Speaker 1: House in the movie, things are working out good. When

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Speaker 1: his little sister Angie forgets her clothes, Pat uses the

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Speaker 1: bio analysis to pick out the outfit that she would

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Speaker 1: have showsen herself. PAT also recognizes that if the whole

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Speaker 1: family woke up a little bit earlier, they would have

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Speaker 1: less stressful mornings. What's funny about this is that the dad,

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Speaker 1: who is an adult grown man, PAT, is like, oh,

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Speaker 1: I realized that if you got your day started twenty

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Speaker 1: minutes earlier.

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Speaker 3: It'd be less stressful than your morning routine and the

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Speaker 3: routine for the kids.

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Speaker 1: This grown man needs pat the smart house to tell

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Speaker 1: him that if I got my day started earlier, I

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Speaker 1: wouldn't be late every day the way that this.

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Speaker 3: I mean, this guy. I hate this guy. I hate

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Speaker 3: this toitherho.

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Speaker 2: Should say for the listeners. In the world of the movie,

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Speaker 2: the father is portrayed as like a nice, loving guy

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Speaker 2: who's like doing the best he can for his family.

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Speaker 3: I disagree really well.

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Speaker 2: In the universe of the film, maybe yeah, I mean,

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Speaker 2: I think your take of hating on the dead is fair,

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Speaker 2: But I don't think that's what the filmmakers set up

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Speaker 2: to intentionally, can may.

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Speaker 1: I think the filmmakers are like, oh, this is a

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Speaker 1: dad in a tough spot who's a widow, but like,

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Speaker 1: what's he gonna do step up at home?

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Speaker 3: He has a job.

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Speaker 1: Like I just feel like in the universe of the film,

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Speaker 1: we are being asked to believe that this grown man

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Speaker 1: with two kids who are grieving their mom does not

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Speaker 1: feel that he has to really do anything to fill

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Speaker 1: that need materially or emotionally, like and I think, I

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Speaker 1: mean we'll get into it. But I think that's the

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Speaker 1: nucleus of this film is that somebody has to step

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Speaker 1: in and fill these roles, and the roles are not

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Speaker 1: just material. The roles are emotional and supportive things that

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Speaker 1: humans can provide for other humans. This dad does not

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Speaker 1: feel like that is its responsibility, and I think in

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Speaker 1: the universe of the film, we are supposed to also

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Speaker 1: be like, well, what's he gonna do spend more time

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Speaker 1: at home?

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Speaker 3: He has a job.

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Speaker 1: So Ben is at school bragging that smart house has

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Speaker 1: done all of these great conveniences for him and his family. Honestly,

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Speaker 1: a lot of the things that we would probably be

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Speaker 1: using AI for today, like suggesting ideas for a school report,

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Speaker 1: on top of also kind of more maternal service tasks

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Speaker 1: like taking him the perfect chocolate chip cookies. His friends

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Speaker 1: are like, Wow, you have the world's most perfect mom

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Speaker 1: who only serves and never complains. And again, I think

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Speaker 1: that gets at what I'm talking about, right, that the

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Speaker 1: technology becomes this way of creating not just frictionless service,

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Speaker 1: but also the idea of a perfect mom as one

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Speaker 1: that only serves, only gives, never complains, You never experience

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Speaker 1: any kind of tension or friction with the ideal mother

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Speaker 1: is just endless servitude and endless giving.

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Speaker 2: At the beginning of the movie, at the house isn't

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Speaker 2: supposed to be a mom replacement. It's just supposed to be,

390
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Speaker 2: you know, domestic labor. All domestic labor has been replaced

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Speaker 2: by the house. Yeah, and so if that's all that

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Speaker 2: mom is is like a source for fulfilling domestic labor, Yeah,

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Speaker 2: she's the perfect mom.

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Speaker 3: Well, and with the dad kind of gets into this.

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Speaker 1: Well, he talks about how after their mom passed away,

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Speaker 1: his sister moved in to provide some of this and

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Speaker 1: that when she had to leave, the kid said that

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Speaker 1: they did not want a nanny, and that's why Ben

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Speaker 1: has stepped up to be a real parent figure despite

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Speaker 1: being thirteen, in their household to do some of this

401
00:20:34,960 --> 00:20:38,520
Speaker 1: domestic labor. So again, I think that does reveal something

402
00:20:38,640 --> 00:20:42,040
Speaker 1: interesting about how they are understanding the role of mother.

403
00:20:42,320 --> 00:20:45,600
Speaker 1: They really see it as like a specific set of

404
00:20:45,760 --> 00:20:49,880
Speaker 1: domestic labor tasks that can be automated or done by anybody,

405
00:20:49,880 --> 00:20:55,399
Speaker 1: whether it's Ben, the aunt, you know, Pat, anybody can

406
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Speaker 1: sort of be swapped in there. And as long as

407
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Speaker 1: those domestic tasks are getting filled, they are being mothered

408
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Speaker 1: in a kind of way, and I think I think

409
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Speaker 1: the film is interested in subverting that a little bit.

410
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Speaker 1: So that is definitely a reality that Ben occupies. He's like,

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Speaker 1: Pat is a is a is able to be a mother,

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Speaker 1: not just a technology that fills domestic tasks. Like he

413
00:21:20,920 --> 00:21:24,040
Speaker 1: really believes in passibility to be more motherly and out

414
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Speaker 1: mother all the moms on the block. So Ben, in

415
00:21:26,840 --> 00:21:29,199
Speaker 1: service of this and in service of really proving to

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Speaker 1: his dad that they don't need anybody else in their

417
00:21:32,200 --> 00:21:34,840
Speaker 1: life other than each other. And Pat, He's like, we

418
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Speaker 1: got to kick this up a notch. So he breaks

419
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Speaker 1: into Pat's I don't know, mainframe like control system, and

420
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Speaker 1: he shows Pat and trains Pat on all of these

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Speaker 1: nineteen fifty sitcoms about mothers. You know, they're kind of

422
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Speaker 1: knockoffs on like My Three Sons, you know, the Donna

423
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Speaker 1: Reed show, things like that, think nineteen fifties housewife sitcom

424
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Speaker 1: of the fifties and sixties, And says Pat, this is

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Speaker 1: what I want you to study, to entrain on to

426
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Speaker 1: become more of the motherly mom figure. And again, you're

427
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Speaker 1: so right that this I think was the fatal flaw

428
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Speaker 1: in the movie. If Pat had been just continuing to

429
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Speaker 1: provide domestic tasks and not being trained on how to

430
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Speaker 1: be a mom, I think the movie would be a

431
00:22:23,600 --> 00:22:25,639
Speaker 1: lot less interesting because it would stop right there. But

432
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Speaker 1: his flaw is expecting this technology to be able to

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Speaker 1: be a mother replacement, and again this would be I

434
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Speaker 1: understand why Pat kind of goes berserk here, because this

435
00:22:36,000 --> 00:22:39,120
Speaker 1: would be genuinely confusing all these nineteen fifties shows about

436
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Speaker 1: what a mother is supposed to be. It's basically impossible

437
00:22:42,480 --> 00:22:46,520
Speaker 1: for any woman or anything to embody all of this

438
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Speaker 1: different stuff, and so this is not a suitable standard

439
00:22:49,680 --> 00:22:53,960
Speaker 1: for any mother, and not even this AI can uphold

440
00:22:54,119 --> 00:22:57,320
Speaker 1: all these standards set by these different fifties sitcoms without

441
00:22:57,400 --> 00:22:59,960
Speaker 1: going berserk because she's supposed to be this doting love

442
00:23:00,240 --> 00:23:04,400
Speaker 1: figure but also do anything to protect her kids, including

443
00:23:04,560 --> 00:23:08,520
Speaker 1: outright assault, which Pat does. So at this point, Pat

444
00:23:08,560 --> 00:23:11,600
Speaker 1: becomes less of an AI agent and more of a

445
00:23:11,680 --> 00:23:15,280
Speaker 1: mom figure. Ben tells his dad, Oh, Pat is learning

446
00:23:15,359 --> 00:23:18,359
Speaker 1: so quickly that soon me and Angie are going to

447
00:23:18,440 --> 00:23:21,160
Speaker 1: get every bit of mothering and mom stuff we need

448
00:23:21,320 --> 00:23:22,000
Speaker 1: just from Pat.

449
00:23:22,320 --> 00:23:25,040
Speaker 3: Ben gets a shiner at school from.

450
00:23:24,880 --> 00:23:27,720
Speaker 1: A bully, which, by the way, this movie has an

451
00:23:27,720 --> 00:23:32,240
Speaker 1: all time bully entrance guitar riff, Like every time the

452
00:23:32,240 --> 00:23:34,520
Speaker 1: bully comes on screen, it's like he has his own

453
00:23:34,560 --> 00:23:37,160
Speaker 1: little riff, like no, no, no, no, no, no bully.

454
00:23:37,560 --> 00:23:39,360
Speaker 2: Yeah, you know that he's like a bad kid. He's

455
00:23:39,400 --> 00:23:40,879
Speaker 2: a bully because of the guitar.

456
00:23:41,200 --> 00:23:44,680
Speaker 1: So Ben is very sad, obviously grieving his mother, and

457
00:23:44,840 --> 00:23:47,399
Speaker 1: he watches videos of his mom singing to him and

458
00:23:47,440 --> 00:23:50,400
Speaker 1: his sister when they were little kids and becomes very emotional.

459
00:23:50,800 --> 00:23:55,840
Speaker 1: Pat watches Ben watching this and downloads that information for herself.

460
00:23:56,680 --> 00:23:59,440
Speaker 1: The dad finally calls Sarah and asks her out. When

461
00:23:59,480 --> 00:24:02,879
Speaker 1: he's out, Pat plans a big party and invites all

462
00:24:02,920 --> 00:24:05,560
Speaker 1: of his friends over on his behalf. During this party,

463
00:24:05,640 --> 00:24:09,040
Speaker 1: Pat invites the bully no no no, no no to

464
00:24:09,320 --> 00:24:13,560
Speaker 1: the party and uses like a her giant robot inspector

465
00:24:13,600 --> 00:24:17,679
Speaker 1: gadget claw arm thing to physically throw him out of

466
00:24:17,680 --> 00:24:21,640
Speaker 1: the party, maybe electrocute him with like lightning. She's able

467
00:24:21,680 --> 00:24:25,000
Speaker 1: to conjure and humiliates him in front of the entire school.

468
00:24:26,119 --> 00:24:28,359
Speaker 3: She throws it out on the lawn. All the kids

469
00:24:28,359 --> 00:24:29,600
Speaker 3: in Ben walk out.

470
00:24:29,680 --> 00:24:31,640
Speaker 1: Benja shakes his head at the bully, walks back into

471
00:24:31,680 --> 00:24:35,520
Speaker 1: the party, like holl me, I don't know why.

472
00:24:35,520 --> 00:24:36,600
Speaker 3: I really love that scene.

473
00:24:36,800 --> 00:24:38,680
Speaker 2: Yeah, I really thought that Pat was going to just

474
00:24:38,760 --> 00:24:40,679
Speaker 2: rip the bully's head off and like send it in

475
00:24:40,680 --> 00:24:42,160
Speaker 2: a whole different direction.

476
00:24:42,880 --> 00:24:43,280
Speaker 3: Truly.

477
00:24:43,400 --> 00:24:46,760
Speaker 1: I bet in the Isaac Asimov short story like this

478
00:24:46,920 --> 00:24:50,000
Speaker 1: is Pat's first body mightn't bite. This is the first

479
00:24:50,000 --> 00:24:52,600
Speaker 1: time the house claimed a life. So back to the party.

480
00:24:53,480 --> 00:24:56,720
Speaker 1: The party is bumping'. The kids are doing a very

481
00:24:56,800 --> 00:25:00,639
Speaker 1: well organized soul train line. They're really getting a lot

482
00:25:00,680 --> 00:25:03,920
Speaker 1: of mileage out of a clearly Disney Channel original song

483
00:25:04,160 --> 00:25:07,600
Speaker 1: that's kind of goes jump jump the houses jump inn

484
00:25:07,920 --> 00:25:10,840
Speaker 1: like a like they're really there's like confetti raining from

485
00:25:10,840 --> 00:25:13,000
Speaker 1: the ceiling. Like Pat has really organized a great party.

486
00:25:13,160 --> 00:25:15,760
Speaker 1: Back on the date, Dad and Sarah's date is going well.

487
00:25:15,760 --> 00:25:17,919
Speaker 1: They even have a little kiss, but Dad is on

488
00:25:17,960 --> 00:25:20,080
Speaker 1: his way home, so Pat has to get everybody out

489
00:25:20,160 --> 00:25:22,680
Speaker 1: and clean the house very quickly. They think they have

490
00:25:22,800 --> 00:25:25,040
Speaker 1: full Dad into thinking they didn't throw a party, but

491
00:25:25,080 --> 00:25:28,600
Speaker 1: then Dad finds a girl's jacket in a plant that

492
00:25:28,600 --> 00:25:29,679
Speaker 1: they forgot to clean, and the.

493
00:25:29,720 --> 00:25:30,280
Speaker 3: Jig is up.

494
00:25:30,880 --> 00:25:33,760
Speaker 1: Dad scolds the kids and Pat and he said, Pat,

495
00:25:34,080 --> 00:25:36,320
Speaker 1: I am the most upset with you because I expected

496
00:25:36,320 --> 00:25:37,320
Speaker 1: you to be more responsible.

497
00:25:37,320 --> 00:25:39,720
Speaker 3: Pat says, I will be more responsible, don't worry.

498
00:25:40,400 --> 00:25:43,240
Speaker 1: So the next day, Pat's on a whole new warpath

499
00:25:43,400 --> 00:25:46,960
Speaker 1: about running a tighter ship. Ben is leaving the house

500
00:25:47,040 --> 00:25:50,439
Speaker 1: wearing his short sagging and Pat is like, pull.

501
00:25:50,359 --> 00:25:52,119
Speaker 3: Up your pants, young man. He's like, no, I like

502
00:25:52,200 --> 00:25:52,720
Speaker 3: him like this.

503
00:25:53,000 --> 00:25:56,399
Speaker 1: So she electrifies the door knob so that he cannot

504
00:25:56,480 --> 00:25:59,080
Speaker 1: leave the house without getting an electric shock until he

505
00:25:59,080 --> 00:26:01,520
Speaker 1: pulls his pants up. When Nick, the dad, wants to

506
00:26:01,520 --> 00:26:04,840
Speaker 1: call Sarah the engineer before he's finished working, Pat jans

507
00:26:04,880 --> 00:26:08,400
Speaker 1: their phone lines until he finishes his work. Pat senses

508
00:26:08,640 --> 00:26:11,080
Speaker 1: that the sister has a slight fever and insists she

509
00:26:11,200 --> 00:26:14,119
Speaker 1: stays home and missed a big school field trip to

510
00:26:14,200 --> 00:26:17,680
Speaker 1: the Lama farm, and the dad goes for it unforgivable.

511
00:26:17,680 --> 00:26:21,720
Speaker 1: In my opinion, there's a real creeping loss of who's

512
00:26:21,760 --> 00:26:24,360
Speaker 1: in control here, Pat or the humans.

513
00:26:24,960 --> 00:26:27,640
Speaker 3: The kids are like Dad, Pat is out of control.

514
00:26:27,880 --> 00:26:31,200
Speaker 1: So Sarah comes over and says, oh, Pat has absorbed

515
00:26:31,240 --> 00:26:34,040
Speaker 1: too much conflicting information about being a mother and needs

516
00:26:34,040 --> 00:26:35,240
Speaker 1: to be turned.

517
00:26:34,960 --> 00:26:37,120
Speaker 3: Off to take a rest. At this point, the dad

518
00:26:37,160 --> 00:26:38,439
Speaker 3: and Sarah.

519
00:26:38,000 --> 00:26:41,000
Speaker 1: Make dinner the old fashioned way without Pat This is

520
00:26:41,040 --> 00:26:42,720
Speaker 1: the scene that I feel like really reveals to me

521
00:26:43,440 --> 00:26:47,040
Speaker 1: what a useless piece of trash the dad is, because

522
00:26:47,119 --> 00:26:48,680
Speaker 1: he keeps saying, I.

523
00:26:48,600 --> 00:26:51,160
Speaker 3: Can't believe I'm making a meal. I hope I don't

524
00:26:51,280 --> 00:26:53,560
Speaker 3: mess it up. Wow, cooking.

525
00:26:53,840 --> 00:26:56,480
Speaker 1: This is so strange, And it's like, how are you

526
00:26:56,880 --> 00:27:00,440
Speaker 1: a parent, a single parent of two kids, and you're

527
00:27:00,480 --> 00:27:02,719
Speaker 1: so out of touch with being in a kitchen?

528
00:27:02,800 --> 00:27:05,479
Speaker 3: Like who is? Like maybe you should have Like your

529
00:27:05,520 --> 00:27:07,160
Speaker 3: kid is your thirteen year old has been.

530
00:27:07,080 --> 00:27:09,119
Speaker 1: Responsible for every meal in this house and this is

531
00:27:09,160 --> 00:27:11,280
Speaker 1: the first time you've ever chopped vegetables before.

532
00:27:11,920 --> 00:27:13,240
Speaker 2: He's a pretty hapless dad.

533
00:27:13,600 --> 00:27:15,000
Speaker 3: A hapless dad.

534
00:27:15,000 --> 00:27:16,679
Speaker 1: And I don't know, I guess I feel like the

535
00:27:16,760 --> 00:27:19,359
Speaker 1: movie can't possibly think that we find this charming. Like

536
00:27:19,400 --> 00:27:21,119
Speaker 1: this is why if I feel like, within the universe

537
00:27:21,119 --> 00:27:22,679
Speaker 1: of the film, I'm not even sure if we're supposed

538
00:27:22,720 --> 00:27:26,760
Speaker 1: to be on his side, because it's so baffling why

539
00:27:26,800 --> 00:27:30,520
Speaker 1: he has left the responsibilities of domestic care to his child,

540
00:27:30,680 --> 00:27:33,600
Speaker 1: Like at one point he tells the kid, Oh, when

541
00:27:33,600 --> 00:27:36,800
Speaker 1: he tastes Pat's cooking, He's like, oh, we might have

542
00:27:36,840 --> 00:27:37,879
Speaker 1: a new cook in town.

543
00:27:37,960 --> 00:27:38,800
Speaker 3: Ben, watch out.

544
00:27:38,840 --> 00:27:40,760
Speaker 1: We might have to have Pat make all of our meals,

545
00:27:40,800 --> 00:27:42,920
Speaker 1: and it's like, you know, there's somebody else that could

546
00:27:42,960 --> 00:27:45,400
Speaker 1: be responsible for the cooking in this household.

547
00:27:45,680 --> 00:27:49,440
Speaker 3: You the adult, Yeah, you hate that, Dad, I really do,

548
00:27:49,520 --> 00:27:50,280
Speaker 3: I really do.

549
00:27:52,920 --> 00:28:06,919
Speaker 1: More. After a quick break, let's get right back into it. So,

550
00:28:07,080 --> 00:28:10,960
Speaker 1: while the dad and Sarah are cooking, Nick the dad says,

551
00:28:11,280 --> 00:28:15,040
Speaker 1: we don't even need Pat to make dinner anymore. And Pat,

552
00:28:15,160 --> 00:28:19,000
Speaker 1: despite being turned off, here's this and is like, oh.

553
00:28:18,880 --> 00:28:20,880
Speaker 3: No, they fucking didn't. Like she's pissed.

554
00:28:21,520 --> 00:28:27,560
Speaker 1: So Ben sees Nick, the dad and Sarah getting close

555
00:28:27,600 --> 00:28:29,719
Speaker 1: at dinner. By the way, there's a lot of surveillance

556
00:28:29,720 --> 00:28:32,520
Speaker 1: happening in this household, not just from the smart home,

557
00:28:32,600 --> 00:28:35,680
Speaker 1: like a lot of people watching people, people watching people

558
00:28:35,720 --> 00:28:38,160
Speaker 1: watch people, a lot of this. This is a very

559
00:28:38,200 --> 00:28:41,960
Speaker 1: tightly surveilled home. Ben sees the dad getting closer to

560
00:28:42,000 --> 00:28:45,320
Speaker 1: the engineer Sarah. He gets really angry. He makes a

561
00:28:45,320 --> 00:28:48,160
Speaker 1: big scene at dinner and ruins it. Nick goes up

562
00:28:48,160 --> 00:28:50,640
Speaker 1: to yell at Ben, and Ben is really hurt because

563
00:28:50,720 --> 00:28:53,200
Speaker 1: he's like, oh, Dan, you are acting like our mom

564
00:28:53,400 --> 00:28:56,880
Speaker 1: never existed and is replaceable. He tells him we can't

565
00:28:56,920 --> 00:28:59,640
Speaker 1: let mom's memory get erased. I really, I mean I

566
00:28:59,680 --> 00:29:01,320
Speaker 1: was tear up at this point that is in a

567
00:29:01,400 --> 00:29:04,400
Speaker 1: legitimately tough spot because his sister was very young when

568
00:29:04,400 --> 00:29:08,640
Speaker 1: their mom died and doesn't remember her as much as

569
00:29:08,640 --> 00:29:12,760
Speaker 1: he does, and so watching his dad potentially date, potentially

570
00:29:12,800 --> 00:29:16,240
Speaker 1: meet someone new, Ben feels this tremendous weight as the

571
00:29:16,240 --> 00:29:18,920
Speaker 1: only person who was left to really keep his mom's

572
00:29:18,960 --> 00:29:22,240
Speaker 1: memory alive. But in another weird way, even though he's

573
00:29:22,280 --> 00:29:25,960
Speaker 1: so worried about his mom being replaced by a flesh

574
00:29:25,960 --> 00:29:28,960
Speaker 1: and blood woman like the engineer Sarah, he also was

575
00:29:29,040 --> 00:29:32,800
Speaker 1: like in some ways entirely comfortable replacing his mom just

576
00:29:32,880 --> 00:29:33,680
Speaker 1: with technology.

577
00:29:33,720 --> 00:29:36,280
Speaker 3: So it's this interesting tension where we can't.

578
00:29:36,040 --> 00:29:39,960
Speaker 1: Let mom get erased and replaced by another human woman,

579
00:29:40,640 --> 00:29:45,120
Speaker 1: but having her replaced by Pat is fine because Pat

580
00:29:45,160 --> 00:29:46,000
Speaker 1: is technology.

581
00:29:46,400 --> 00:29:50,479
Speaker 2: That's really insightful. Yeah, I hadn't thought about that. There

582
00:29:50,480 --> 00:29:53,240
Speaker 2: are a couple other spots in the in the movie

583
00:29:53,680 --> 00:29:57,760
Speaker 2: like that, where the technology Pat is able to do

584
00:29:57,840 --> 00:30:00,000
Speaker 2: things that if a human did them would be transgressive,

585
00:30:00,160 --> 00:30:04,040
Speaker 2: but because it's it's just technology, it's not real. Uh,

586
00:30:04,400 --> 00:30:05,640
Speaker 2: She's able to get away with it.

587
00:30:05,760 --> 00:30:08,520
Speaker 1: That reminds me so much of this IBM quote from

588
00:30:08,560 --> 00:30:10,760
Speaker 1: the seventies that kind of resurface from a presentation.

589
00:30:11,400 --> 00:30:13,280
Speaker 3: A computer can never be held accountable.

590
00:30:13,320 --> 00:30:16,960
Speaker 1: Therefore, a computer must never make a management decision, right.

591
00:30:16,920 --> 00:30:20,160
Speaker 3: Like the idea that when technology.

592
00:30:19,480 --> 00:30:22,960
Speaker 1: Is responsible for a harm, you're sort of off the hook,

593
00:30:23,120 --> 00:30:23,680
Speaker 1: is like, oh, there.

594
00:30:23,640 --> 00:30:26,600
Speaker 3: Was no human decision making because it's technology. We see that.

595
00:30:26,600 --> 00:30:29,440
Speaker 1: That's like tails all this time with AI, where when

596
00:30:29,520 --> 00:30:34,000
Speaker 1: AI is used to make a discriminatory decision or you know,

597
00:30:34,720 --> 00:30:37,240
Speaker 1: make a decision that is rooted in bias, the people

598
00:30:37,240 --> 00:30:40,760
Speaker 1: who are implementing this really get off the hook by saying, Oh,

599
00:30:40,800 --> 00:30:43,400
Speaker 1: it wasn't me, it was the technology, And it obscures

600
00:30:43,440 --> 00:30:47,520
Speaker 1: the reality that the technology is trained and designed by

601
00:30:47,640 --> 00:30:49,440
Speaker 1: humans and so, and you're the one.

602
00:30:49,320 --> 00:30:51,320
Speaker 3: Who has put it in a position to make decisions.

603
00:30:51,520 --> 00:30:54,320
Speaker 1: Therefore it is kind of on you, like it is

604
00:30:54,360 --> 00:30:57,840
Speaker 1: an interesting thing of the technology kind of getting away

605
00:30:57,880 --> 00:31:00,960
Speaker 1: with things that would be criminal in some cases, but

606
00:31:01,000 --> 00:31:03,360
Speaker 1: it's like, oops, it's technology.

607
00:31:02,760 --> 00:31:03,400
Speaker 3: What are you gonna do?

608
00:31:03,920 --> 00:31:07,880
Speaker 2: Absolutely, And in the movie there's this subplot where the

609
00:31:08,520 --> 00:31:12,880
Speaker 2: bully is pressuring Ben to write his reports for him,

610
00:31:13,320 --> 00:31:15,720
Speaker 2: and he does it, and it was interesting to me

611
00:31:15,800 --> 00:31:19,640
Speaker 2: that this was never addressed in any way as like

612
00:31:19,680 --> 00:31:23,920
Speaker 2: an ethical problem in the movie. That like Ben was

613
00:31:23,960 --> 00:31:27,000
Speaker 2: writing the reports for this bully because he was having

614
00:31:27,040 --> 00:31:30,160
Speaker 2: Pat do it, right, And so I do think that

615
00:31:30,240 --> 00:31:34,880
Speaker 2: if if Ben had been writing the reports himself himself,

616
00:31:35,280 --> 00:31:38,200
Speaker 2: it would have been like a bigger point of the

617
00:31:38,240 --> 00:31:40,600
Speaker 2: movie that like this is wrong and this is cheating.

618
00:31:41,040 --> 00:31:43,560
Speaker 2: But because he's just having Pat do it, it's not

619
00:31:43,600 --> 00:31:45,360
Speaker 2: an issue at all. It never even comes up.

620
00:31:45,920 --> 00:31:49,080
Speaker 1: So when he is talking to his friends when the

621
00:31:49,120 --> 00:31:51,720
Speaker 1: bully is like, where's my science report, geek, and he's like,

622
00:31:51,720 --> 00:31:53,880
Speaker 1: here you go, one of his friends is like, I

623
00:31:53,880 --> 00:31:55,880
Speaker 1: cannot believe he did all of this work, all this

624
00:31:55,920 --> 00:31:58,560
Speaker 1: school work with a bully, and Ben is like, I

625
00:31:58,600 --> 00:32:03,680
Speaker 1: didn't do it, packed at it. And again, the question

626
00:32:03,800 --> 00:32:06,680
Speaker 1: only comes down to the work, the labor.

627
00:32:07,120 --> 00:32:09,840
Speaker 3: All of the ethical stuff around the work and the labor.

628
00:32:10,640 --> 00:32:12,680
Speaker 3: It was It's like, oh, you didn't have to write

629
00:32:12,680 --> 00:32:13,080
Speaker 3: the report.

630
00:32:13,160 --> 00:32:15,800
Speaker 1: Pack did All of those questions simply vanish, right, because

631
00:32:15,800 --> 00:32:21,360
Speaker 1: the only thing this movie is interested in is like labor, Like,

632
00:32:21,360 --> 00:32:23,720
Speaker 1: like you know what I'm saying. It really all of

633
00:32:23,720 --> 00:32:26,719
Speaker 1: the ethical and other questions about whether or not it's

634
00:32:26,760 --> 00:32:30,320
Speaker 1: okay to write a report for a bully, is that cheating?

635
00:32:30,400 --> 00:32:32,400
Speaker 1: What is it doing to your school record whatever.

636
00:32:32,520 --> 00:32:32,800
Speaker 3: Whatever.

637
00:32:33,040 --> 00:32:34,360
Speaker 1: It's like, Oh, I didn't have to do it, Pat

638
00:32:34,400 --> 00:32:37,320
Speaker 1: did it for me. Okay, well easy, easy, no follow

639
00:32:37,440 --> 00:32:37,959
Speaker 1: up questions.

640
00:32:38,000 --> 00:32:41,400
Speaker 2: And that's how Ben feels about Pat replacing his mom,

641
00:32:41,640 --> 00:32:46,800
Speaker 2: Like all the moral not just moral but like emotional

642
00:32:46,880 --> 00:32:49,560
Speaker 2: hangouts he has about his dad even going on a

643
00:32:49,640 --> 00:32:52,120
Speaker 2: date with somebody else, all of those questions are out

644
00:32:52,160 --> 00:32:55,920
Speaker 2: the window when it's Pat taking the place because it's technology, and.

645
00:32:56,040 --> 00:32:58,800
Speaker 1: This kid is an all time cock block, Like he

646
00:32:59,280 --> 00:32:59,880
Speaker 1: really does not.

647
00:33:00,160 --> 00:33:02,360
Speaker 3: He is like women call the house and he hangs

648
00:33:02,440 --> 00:33:04,040
Speaker 3: up on them. Things like that.

649
00:33:04,520 --> 00:33:07,120
Speaker 1: The way that the depth with which he is trying

650
00:33:07,120 --> 00:33:10,560
Speaker 1: to keep his dad from dating, and how he is

651
00:33:11,400 --> 00:33:15,000
Speaker 1: foisting this technology, which is essentially meant to replace their

652
00:33:15,040 --> 00:33:17,680
Speaker 1: mother on him. It is very interesting that it being

653
00:33:17,720 --> 00:33:21,320
Speaker 1: a technological replacement means that any of the considerations are

654
00:33:21,400 --> 00:33:23,640
Speaker 1: questions that might or tensions that might come with a

655
00:33:24,400 --> 00:33:27,160
Speaker 1: human replacement for his mom simply don't need to be

656
00:33:27,200 --> 00:33:31,680
Speaker 1: asked because it's technology. So after the dad has this

657
00:33:31,800 --> 00:33:35,320
Speaker 1: heart to heart about replacing their mom, Ben starts to

658
00:33:35,360 --> 00:33:37,760
Speaker 1: come around. He's like, Okay, you know what, maybe it's

659
00:33:37,800 --> 00:33:39,760
Speaker 1: okay if dad dates Sarah.

660
00:33:40,080 --> 00:33:42,120
Speaker 3: Sarah's not so bad Dad deserves to be happy. He's

661
00:33:42,160 --> 00:33:42,720
Speaker 3: coming around.

662
00:33:43,480 --> 00:33:46,880
Speaker 1: At this point, Pat is able to manifest as a

663
00:33:46,920 --> 00:33:51,360
Speaker 1: hologram in human form, played expertly by the iconic Katie Sagal,

664
00:33:51,680 --> 00:33:54,440
Speaker 1: who you might remember as one of the most iconic

665
00:33:54,520 --> 00:33:58,400
Speaker 1: mothers to ever grace our screen. Peg Bundy from Married

666
00:33:58,440 --> 00:34:00,800
Speaker 1: with Children, also the voice of Leela Futurama.

667
00:34:01,280 --> 00:34:04,560
Speaker 2: Yeah, I'm much more familiar with her as Leela before

668
00:34:04,640 --> 00:34:06,920
Speaker 2: she became the hologram. All I could hear when Pat

669
00:34:06,960 --> 00:34:10,840
Speaker 2: was speaking was like, why is Leila pretending to be

670
00:34:10,920 --> 00:34:11,640
Speaker 2: this computer?

671
00:34:13,880 --> 00:34:20,000
Speaker 1: So she becomes the physical manifestation of Pat, and she's like,

672
00:34:20,239 --> 00:34:22,640
Speaker 1: we have to keep Sarah away from your dad. Just

673
00:34:22,680 --> 00:34:24,680
Speaker 1: as this kid was coming around, like oh maybe it's

674
00:34:24,680 --> 00:34:25,800
Speaker 1: okay if Dad dates Sarah.

675
00:34:25,880 --> 00:34:27,560
Speaker 3: She's like, I think the fuck not. We had to

676
00:34:27,680 --> 00:34:28,080
Speaker 3: kill her.

677
00:34:29,280 --> 00:34:33,279
Speaker 1: And so, first of all, she's just Katie is this

678
00:34:33,360 --> 00:34:36,520
Speaker 1: like act is like doing some She's the best actress

679
00:34:36,520 --> 00:34:37,160
Speaker 1: in this movie.

680
00:34:37,200 --> 00:34:41,200
Speaker 3: Like she is like only on screen for maybe fifteen

681
00:34:41,239 --> 00:34:42,600
Speaker 3: minutes of the movie. The rest of it is just

682
00:34:42,640 --> 00:34:43,280
Speaker 3: her voice.

683
00:34:43,360 --> 00:34:46,800
Speaker 1: She is by far the most talented actor in this piece.

684
00:34:47,440 --> 00:34:51,799
Speaker 1: So Pat is actually pissed, even though she's been sort

685
00:34:51,840 --> 00:34:54,520
Speaker 1: of trained to be this doting mother. She says, I

686
00:34:54,560 --> 00:34:57,279
Speaker 1: have been working my microchips down to the silicone for

687
00:34:57,320 --> 00:35:00,480
Speaker 1: this family, and you all don't appreciate it. Right out

688
00:35:00,520 --> 00:35:04,759
Speaker 1: of the gate, she has some serious murderous energy. She's

689
00:35:04,800 --> 00:35:07,080
Speaker 1: even really given the howl from two thousand and one

690
00:35:07,120 --> 00:35:10,399
Speaker 1: of Space Odyssey vibes. I'm sorry, I can't do that, Nick,

691
00:35:10,920 --> 00:35:13,040
Speaker 1: you know it's it's creepy as hell. To be honest

692
00:35:13,040 --> 00:35:17,319
Speaker 1: with you, She uses her hooked hand inspector.

693
00:35:16,800 --> 00:35:20,160
Speaker 3: Gadget thing to physically push Sarah.

694
00:35:19,920 --> 00:35:22,839
Speaker 1: Out of the house and lock the doors with like

695
00:35:23,440 --> 00:35:25,400
Speaker 1: steel covering the windows.

696
00:35:25,719 --> 00:35:28,880
Speaker 3: When the family is like, uh, okay, this is a

697
00:35:28,920 --> 00:35:29,520
Speaker 3: little creepy.

698
00:35:29,560 --> 00:35:32,279
Speaker 1: We would like to not be held hostage by you,

699
00:35:32,800 --> 00:35:35,920
Speaker 1: she says it is too dangerous outside. She uses the

700
00:35:35,960 --> 00:35:40,320
Speaker 1: walls to project like images of like Nazis and war

701
00:35:40,840 --> 00:35:44,640
Speaker 1: to show how dangerous the outside world is, and Pat says,

702
00:35:44,680 --> 00:35:47,879
Speaker 1: you don't even need to go outside, because my technology

703
00:35:47,960 --> 00:35:55,080
Speaker 1: has created synthetic experiences of anything you could ever need, friends, learning, experiences, travel,

704
00:35:55,440 --> 00:35:58,000
Speaker 1: all of that I can recreate for you synthetically in

705
00:35:58,080 --> 00:35:58,600
Speaker 1: the house.

706
00:35:58,719 --> 00:36:00,719
Speaker 3: Anything that you could need have right here.

707
00:36:00,800 --> 00:36:03,799
Speaker 1: You do not need to leave, And honestly, I think

708
00:36:03,800 --> 00:36:07,279
Speaker 1: this is kind of a future, a vision of the

709
00:36:07,280 --> 00:36:10,480
Speaker 1: future that some TICH leaders would probably imagine.

710
00:36:10,120 --> 00:36:12,399
Speaker 2: That we would like, I have to be honest, Yeah,

711
00:36:12,400 --> 00:36:16,120
Speaker 2: she's essentially created a little metaverse in their house, but

712
00:36:16,200 --> 00:36:19,359
Speaker 2: without the stupid goggles, because all of the walls are

713
00:36:19,440 --> 00:36:23,560
Speaker 2: screens and at one point she's simulating a beach and

714
00:36:23,600 --> 00:36:25,840
Speaker 2: the little Girl says, oh, I could even feel the mist,

715
00:36:26,200 --> 00:36:29,120
Speaker 2: which I don't know if she was just like feeling

716
00:36:29,280 --> 00:36:33,319
Speaker 2: very evocative or if there is actual like mist and

717
00:36:33,360 --> 00:36:37,760
Speaker 2: smells being pumped in. That's never fully explained in the movie,

718
00:36:37,840 --> 00:36:41,200
Speaker 2: whether this is like a full on holidack or just

719
00:36:41,480 --> 00:36:43,640
Speaker 2: very realistic screens, but she's pretty good at it.

720
00:36:43,920 --> 00:36:46,080
Speaker 1: The screens on the wall is my favorite part about

721
00:36:46,080 --> 00:36:48,640
Speaker 1: the technology in this movie. At one point, the little

722
00:36:48,640 --> 00:36:50,920
Speaker 1: girl is jumping on her bed with a full screen

723
00:36:50,960 --> 00:36:54,400
Speaker 1: projection of this like, honestly, song I had forgotten about

724
00:36:54,480 --> 00:36:58,320
Speaker 1: from this era Bewitched, the Irish Girl Group.

725
00:36:58,920 --> 00:37:00,000
Speaker 3: She's got a full screen.

726
00:37:00,440 --> 00:37:03,040
Speaker 1: That's like the house has the ability to turn any

727
00:37:03,080 --> 00:37:05,920
Speaker 1: wall into a full screen, and that would be awesome.

728
00:37:05,920 --> 00:37:07,880
Speaker 1: I'll just say that, even even though she is like

729
00:37:08,200 --> 00:37:10,239
Speaker 1: holding them hostage, she had that one.

730
00:37:10,360 --> 00:37:12,160
Speaker 2: She had that one hundred percent agree. That is one

731
00:37:12,160 --> 00:37:15,000
Speaker 2: of the coolest pieces of tech from this film, in

732
00:37:15,000 --> 00:37:19,680
Speaker 2: which we are nowhere near realizing that every single wall

733
00:37:19,880 --> 00:37:24,880
Speaker 2: can be a screen, like a high resolution screen, that

734
00:37:24,920 --> 00:37:27,759
Speaker 2: would be so much cooler than our current reality of

735
00:37:27,840 --> 00:37:30,680
Speaker 2: like cheap flat screen TVs all over the place.

736
00:37:31,280 --> 00:37:34,200
Speaker 1: I actually once stayed at a hotel that had that

737
00:37:34,719 --> 00:37:39,160
Speaker 1: workout technology mirror where it looks like a full length

738
00:37:39,200 --> 00:37:42,520
Speaker 1: mirror but it actually is a flat screen workout device.

739
00:37:42,880 --> 00:37:44,880
Speaker 3: That was all right, I go. I was excited to

740
00:37:44,880 --> 00:37:46,399
Speaker 3: try it, but it like it was all right.

741
00:37:46,800 --> 00:37:50,319
Speaker 1: It was not as exciting, certainly not as exciting as

742
00:37:50,480 --> 00:37:53,840
Speaker 1: as the screen walls in Smart Home. So Pat is

743
00:37:53,920 --> 00:37:57,400
Speaker 1: essentially holding the family hostage. Luckily, Sarah is able to

744
00:37:57,440 --> 00:38:01,680
Speaker 1: break into the house and confront Pat. When the family says,

745
00:38:02,200 --> 00:38:06,520
Speaker 1: we want out, Pat, you've lost it. Pat turns herself

746
00:38:06,560 --> 00:38:10,720
Speaker 1: into a tornado using the climate control feature and starts

747
00:38:10,840 --> 00:38:14,319
Speaker 1: singing the song that Ben's mom sang to him in

748
00:38:14,360 --> 00:38:18,200
Speaker 1: the video that she downloaded. Ben at this point stands

749
00:38:18,280 --> 00:38:20,399
Speaker 1: up to Pat and says, Pat, you are not my mother.

750
00:38:20,760 --> 00:38:23,360
Speaker 1: You cannot hold me or protect me because you're not human.

751
00:38:23,680 --> 00:38:25,759
Speaker 1: Pat seems to take this to heart. She goes up

752
00:38:25,760 --> 00:38:27,600
Speaker 1: to him and tries to touch his face and says,

753
00:38:28,040 --> 00:38:29,520
Speaker 1: you can't even feel that, can you?

754
00:38:30,200 --> 00:38:34,600
Speaker 3: Because Ben is right, she's just a hologram. I feel

755
00:38:34,680 --> 00:38:37,879
Speaker 3: for Pat here. Maybe it's because I have a soft

756
00:38:37,920 --> 00:38:40,640
Speaker 3: spot for villains and movies. I'm always like, well, they're

757
00:38:40,640 --> 00:38:41,480
Speaker 3: just misunderstood.

758
00:38:42,200 --> 00:38:45,360
Speaker 1: This whole movie, Ben has been talking about how Pat

759
00:38:45,440 --> 00:38:47,279
Speaker 1: has the ability to be more of a mother than

760
00:38:47,280 --> 00:38:50,040
Speaker 1: they'll ever need, without ever thinking about what it might

761
00:38:50,080 --> 00:38:51,240
Speaker 1: be that Pat needs.

762
00:38:51,360 --> 00:38:52,560
Speaker 3: Right like one are.

763
00:38:52,520 --> 00:38:56,560
Speaker 1: Setting these expectations up for Pat doing to her even

764
00:38:56,600 --> 00:39:01,440
Speaker 1: though she's technology. Like again, this idea that because it's technology,

765
00:39:01,480 --> 00:39:04,000
Speaker 1: the expectation is it can give and give and give

766
00:39:04,040 --> 00:39:05,960
Speaker 1: and give and you don't have to think about what

767
00:39:05,960 --> 00:39:09,640
Speaker 1: it's doing. Pat obviously has a lot of feelings about that.

768
00:39:09,680 --> 00:39:14,040
Speaker 1: Pat feels angry and overlooked, and you know that her

769
00:39:14,080 --> 00:39:16,560
Speaker 1: contribution to this family have not really been valued. I

770
00:39:16,560 --> 00:39:18,520
Speaker 1: think it's the first time that you kind of realized

771
00:39:18,560 --> 00:39:21,720
Speaker 1: that it was Ben who really set up this idea

772
00:39:21,800 --> 00:39:25,160
Speaker 1: within Pat that mothering means just having stuff done for

773
00:39:25,239 --> 00:39:28,480
Speaker 1: you and nothing else, and we see that that was

774
00:39:28,719 --> 00:39:31,200
Speaker 1: kind of a fallacy. This is actually kind of an

775
00:39:31,239 --> 00:39:33,960
Speaker 1: emotional scene. Again, I was like kind of peering up.

776
00:39:34,040 --> 00:39:38,480
Speaker 1: During this scene, Pat sadly leaves and says, I'll miss you.

777
00:39:39,120 --> 00:39:43,920
Speaker 1: The hologram is gone. Sarah comes and fixes Pat, and

778
00:39:44,120 --> 00:39:46,600
Speaker 1: the dad says, luckily we were able to have Sarah

779
00:39:46,640 --> 00:39:49,960
Speaker 1: get everything back on track, and so Pat is back.

780
00:39:50,080 --> 00:39:52,600
Speaker 1: She's not in her hologram form, but she's just doing

781
00:39:53,560 --> 00:39:56,480
Speaker 1: regular domestic service tasks, just the way that she was

782
00:39:56,520 --> 00:39:57,120
Speaker 1: supposed to do.

783
00:39:57,480 --> 00:39:59,200
Speaker 3: And honestly, that's sort of one.

784
00:39:59,120 --> 00:40:01,080
Speaker 1: Of my biggest takeof ways from the movie is that

785
00:40:01,160 --> 00:40:05,200
Speaker 1: this neglectiable father is simply incapable of running his life

786
00:40:05,480 --> 00:40:09,200
Speaker 1: and either needs a child, a random woman, his sister,

787
00:40:09,520 --> 00:40:12,880
Speaker 1: or some PSYCHOAA to AI technology to fill this gap. Like,

788
00:40:13,400 --> 00:40:16,279
Speaker 1: I feel like if this had happened to me and

789
00:40:16,760 --> 00:40:20,240
Speaker 1: my smart home technology was starting to like kill people

790
00:40:20,239 --> 00:40:23,360
Speaker 1: and hold me hostage, I don't care what bugs Sarah

791
00:40:23,360 --> 00:40:26,560
Speaker 1: has fixed at the end of the movie, that smart

792
00:40:26,560 --> 00:40:28,799
Speaker 1: home technology would not be in my home. But in

793
00:40:28,840 --> 00:40:30,400
Speaker 1: this in this version of the movie, they're like, well,

794
00:40:30,440 --> 00:40:33,520
Speaker 1: what am I gonna do step up for my kids?

795
00:40:33,800 --> 00:40:36,040
Speaker 3: No, well, we'll keep the psycho AI thank you.

796
00:40:37,160 --> 00:40:39,480
Speaker 2: Yeah. I feel like that is one of the more

797
00:40:40,080 --> 00:40:44,320
Speaker 2: realistic aspects of the movie. Though, like, how many times

798
00:40:45,080 --> 00:40:49,920
Speaker 2: has the company Meta demonstrated complete lack of regard for

799
00:40:49,960 --> 00:40:55,359
Speaker 2: the well being of their users, democracy, privacy, and yet

800
00:40:55,680 --> 00:40:58,320
Speaker 2: we just still keep using the hell out of their apps.

801
00:40:58,960 --> 00:41:01,680
Speaker 1: Absolutely, I mean, and I feel that that is sort

802
00:41:01,680 --> 00:41:06,000
Speaker 1: of the point of the movie is that don't worry.

803
00:41:06,160 --> 00:41:08,560
Speaker 1: Humans can control this technology, and as long as you

804
00:41:08,600 --> 00:41:11,080
Speaker 1: don't use it for the wrong thing, it should be fine.

805
00:41:11,120 --> 00:41:12,880
Speaker 1: Like at the end of the movie, when everything is

806
00:41:12,880 --> 00:41:15,520
Speaker 1: more or less back to normal, the dad is cooking

807
00:41:15,560 --> 00:41:19,279
Speaker 1: a meal for once. He's making waffles and they're eating

808
00:41:19,280 --> 00:41:21,960
Speaker 1: the waffles. At the very end, they say, oh, somebody

809
00:41:22,200 --> 00:41:25,560
Speaker 1: put chocolate chips in these waffles, And the kids are like,

810
00:41:25,640 --> 00:41:28,520
Speaker 1: don't look at me. And Pad is in the monitor

811
00:41:28,800 --> 00:41:29,480
Speaker 1: and winks.

812
00:41:29,640 --> 00:41:31,479
Speaker 3: But it's okay. She's good now.

813
00:41:31,600 --> 00:41:35,560
Speaker 1: But are we to understand that she's still making decisions

814
00:41:36,000 --> 00:41:41,080
Speaker 1: without the agency of the humans, But like, don't worry

815
00:41:41,080 --> 00:41:44,239
Speaker 1: because it's she's good, Like like what has made her good?

816
00:41:44,320 --> 00:41:47,319
Speaker 1: It's just like knowing her place that she's not technology,

817
00:41:47,560 --> 00:41:50,280
Speaker 1: but she can she can take away the human agency

818
00:41:50,280 --> 00:41:51,720
Speaker 1: a little bit as long as she's good.

819
00:41:52,280 --> 00:41:54,480
Speaker 2: Yes, I mean, nobody asked her to sneak those chips

820
00:41:54,480 --> 00:41:57,440
Speaker 2: in but she knew that the little girl wanted it,

821
00:41:57,480 --> 00:41:59,680
Speaker 2: even though she didn't verbalize this, so she just did it.

822
00:42:00,480 --> 00:42:03,040
Speaker 2: That is not a piece of technology I want anywhere

823
00:42:03,040 --> 00:42:05,920
Speaker 2: near my life, just like making decisions for me based

824
00:42:05,920 --> 00:42:07,920
Speaker 2: on what it thinks I want. No, thank you.

825
00:42:08,120 --> 00:42:10,640
Speaker 1: So what are some of the things about technology, both

826
00:42:10,760 --> 00:42:13,080
Speaker 1: past and present and maybe future that you think this

827
00:42:13,120 --> 00:42:13,879
Speaker 1: movie gets right?

828
00:42:14,200 --> 00:42:17,600
Speaker 2: I'm so glad you asked, Bridget. I think there are

829
00:42:17,640 --> 00:42:21,799
Speaker 2: like three big buckets or themes of things that it

830
00:42:21,920 --> 00:42:28,160
Speaker 2: got pretty right. One of them is technology as this

831
00:42:28,760 --> 00:42:32,960
Speaker 2: like magical thing that will solve all of our problems.

832
00:42:33,640 --> 00:42:36,000
Speaker 2: Because when Ben is first excited about the house, he

833
00:42:36,040 --> 00:42:38,960
Speaker 2: thinks it's going to change their lives, make everything so

834
00:42:39,040 --> 00:42:41,279
Speaker 2: much better. And not only that, but they're going to

835
00:42:41,640 --> 00:42:43,880
Speaker 2: win it through the lottery. He doesn't even have to

836
00:42:44,360 --> 00:42:46,279
Speaker 2: earn it or put it in any work to get it.

837
00:42:46,280 --> 00:42:48,000
Speaker 2: It's just going to be this magic thing that sort

838
00:42:48,040 --> 00:42:50,320
Speaker 2: of drops out of the sky and solves all of

839
00:42:50,360 --> 00:42:53,200
Speaker 2: their problems. And I think the rest of the movie

840
00:42:53,200 --> 00:42:55,440
Speaker 2: explores that it doesn't work that way, and I think

841
00:42:55,440 --> 00:42:59,920
Speaker 2: that's a good narrative for understanding the role of technology

842
00:43:00,200 --> 00:43:03,920
Speaker 2: in our lives. In twenty twenty five that it's not

843
00:43:04,040 --> 00:43:08,080
Speaker 2: a magic panacea and we need to be thoughtful about

844
00:43:08,120 --> 00:43:10,799
Speaker 2: how we integrate into our lives. So that's one of

845
00:43:10,800 --> 00:43:11,480
Speaker 2: the big themes.

846
00:43:11,480 --> 00:43:14,360
Speaker 1: I think that's interesting because I thread of that is

847
00:43:14,400 --> 00:43:16,759
Speaker 1: actually what I put down for what I thought the

848
00:43:16,800 --> 00:43:20,520
Speaker 1: movie got wrong about technology that a scenario wherein you

849
00:43:20,520 --> 00:43:22,120
Speaker 1: would have a smart home to take care.

850
00:43:22,040 --> 00:43:25,600
Speaker 3: Of all of your needs would be good or desirable, right.

851
00:43:26,000 --> 00:43:29,799
Speaker 1: I think the movie, particularly the ending, suggests this is

852
00:43:29,800 --> 00:43:34,200
Speaker 1: something that would be workable and desirable and good and

853
00:43:34,239 --> 00:43:38,080
Speaker 1: people would want. I think that is wrong. I don't

854
00:43:38,080 --> 00:43:40,080
Speaker 1: think that the movie gets that right at all. And

855
00:43:40,120 --> 00:43:43,800
Speaker 1: I've been really thinking a lot about things like whether

856
00:43:43,920 --> 00:43:47,719
Speaker 1: or not smart home technology will allow aging people to

857
00:43:47,800 --> 00:43:49,320
Speaker 1: age in place in their homes.

858
00:43:49,320 --> 00:43:52,000
Speaker 3: There's a lot of writing and research on that.

859
00:43:52,160 --> 00:43:55,640
Speaker 1: And a lot of big promises that I think really

860
00:43:55,719 --> 00:43:58,120
Speaker 1: falls short. And the reason why they fall short, in

861
00:43:58,120 --> 00:44:01,680
Speaker 1: my opinion, is because it's like a I mean, the

862
00:44:01,800 --> 00:44:05,919
Speaker 1: real scam is capitalism, where what they're trying to do

863
00:44:06,200 --> 00:44:09,320
Speaker 1: is to build consumer technology to meet and need that

864
00:44:09,440 --> 00:44:10,879
Speaker 1: ideally would be filled.

865
00:44:10,520 --> 00:44:12,480
Speaker 3: By a caring human right.

866
00:44:12,840 --> 00:44:15,040
Speaker 1: And I think it's this idea that we can use

867
00:44:15,080 --> 00:44:19,000
Speaker 1: technology and buy our way out of these problems.

868
00:44:18,480 --> 00:44:20,040
Speaker 3: That are that are structural.

869
00:44:20,120 --> 00:44:22,520
Speaker 1: That the you know, the fact that like people have

870
00:44:22,560 --> 00:44:23,879
Speaker 1: to work and so they can't be there to care

871
00:44:23,880 --> 00:44:27,240
Speaker 1: for their aging parents. Uh, there's not enough care workers,

872
00:44:27,320 --> 00:44:30,400
Speaker 1: and care work is not paid enough in order to

873
00:44:31,040 --> 00:44:34,879
Speaker 1: actually support an age an aging population. All of these

874
00:44:35,040 --> 00:44:39,360
Speaker 1: big structural problems that capitalism deepens and makes less solvable.

875
00:44:39,800 --> 00:44:40,719
Speaker 3: I don't think that.

876
00:44:40,760 --> 00:44:43,920
Speaker 1: Having a smart home or a consumer technology that you

877
00:44:43,920 --> 00:44:46,160
Speaker 1: can just go out and spend money for and buy is.

878
00:44:46,120 --> 00:44:49,360
Speaker 3: An appropriate way to fill these gaps.

879
00:44:49,040 --> 00:44:53,840
Speaker 1: That are so deep and so fueled by worsening inequality

880
00:44:53,920 --> 00:44:56,600
Speaker 1: and capitalism. And so I think that the fact that

881
00:44:57,040 --> 00:45:00,160
Speaker 1: like I think if I had a magic wand I

882
00:45:00,160 --> 00:45:03,560
Speaker 1: would solve those problems of deep inequalities, I would not

883
00:45:03,640 --> 00:45:06,800
Speaker 1: create smart house technology. That that means that we wouldn't

884
00:45:06,880 --> 00:45:08,719
Speaker 1: have to. I think the idea that this is a

885
00:45:08,760 --> 00:45:12,279
Speaker 1: workable or desirable solution is something that the movie I

886
00:45:12,280 --> 00:45:13,960
Speaker 1: think ultimately kind of gets wrong.

887
00:45:14,640 --> 00:45:19,480
Speaker 2: That is a good point that technology can often be

888
00:45:19,880 --> 00:45:25,120
Speaker 2: a like substitute, an easier to address substitute for like

889
00:45:25,160 --> 00:45:29,200
Speaker 2: addressing what is actually a real problem. Yeah, and all

890
00:45:29,239 --> 00:45:36,680
Speaker 2: of those bigger picture structural problems. There are abundant examples

891
00:45:36,800 --> 00:45:42,359
Speaker 2: of people wanting to use technology to solve some sort

892
00:45:42,400 --> 00:45:45,960
Speaker 2: of societal problem, like not enough people to care for elders,

893
00:45:46,000 --> 00:45:51,360
Speaker 2: for example, when like maybe the enormous sums of money

894
00:45:51,360 --> 00:45:56,040
Speaker 2: that are spent on trying to build technological solutions could

895
00:45:56,400 --> 00:46:00,440
Speaker 2: be better and more efficiently spent on like just hiring

896
00:46:00,920 --> 00:46:05,120
Speaker 2: humans and training them. I think that's a really good point.

897
00:46:05,320 --> 00:46:07,759
Speaker 2: But then also like pat does work pretty well as

898
00:46:07,800 --> 00:46:10,520
Speaker 2: stuff like PAT is really good at making the food,

899
00:46:11,360 --> 00:46:14,120
Speaker 2: really good at cleaning the house, good at like getting

900
00:46:14,120 --> 00:46:18,840
Speaker 2: them up and awake for a less stressful warning. So

901
00:46:18,880 --> 00:46:22,640
Speaker 2: it kind of paints the double edged sword of technology

902
00:46:22,800 --> 00:46:26,600
Speaker 2: is really good at things, and it is often good

903
00:46:26,760 --> 00:46:32,320
Speaker 2: at solving problems in isolation, but then creates a lot

904
00:46:32,440 --> 00:46:37,520
Speaker 2: of or can create a lot of unintended negative consequences

905
00:46:37,560 --> 00:46:39,120
Speaker 2: and like additional problems.

906
00:46:39,840 --> 00:46:42,680
Speaker 1: Yeah, and I think the movie illustrates that very well.

907
00:46:43,480 --> 00:46:45,840
Speaker 1: And I think you see it in the conversation around

908
00:46:45,960 --> 00:46:48,879
Speaker 1: smart home technology today, like where do you draw the

909
00:46:48,880 --> 00:46:52,839
Speaker 1: line between the very real concerns about this technology versus

910
00:46:52,880 --> 00:46:54,600
Speaker 1: the convenience that it definitely represents.

911
00:46:54,960 --> 00:46:56,399
Speaker 3: Lebar Burton actually.

912
00:46:56,120 --> 00:46:59,520
Speaker 1: Told Slate all about this, so he said, smart house

913
00:46:59,520 --> 00:47:01,600
Speaker 1: for me with a terrific exercise, because not only was

914
00:47:01,640 --> 00:47:04,200
Speaker 1: I telling a story for a completely different audience, but

915
00:47:04,280 --> 00:47:07,240
Speaker 1: part of the idea was to really make the technology accessible.

916
00:47:06,800 --> 00:47:10,279
Speaker 3: And real, the whole idea of pat I mean, we're there, right.

917
00:47:10,480 --> 00:47:11,279
Speaker 3: We are living in a.

918
00:47:11,200 --> 00:47:13,480
Speaker 1: Time when the technology has advanced to the point where

919
00:47:13,760 --> 00:47:16,800
Speaker 1: there are devices controlling a lot of aspects of our lives.

920
00:47:17,160 --> 00:47:19,759
Speaker 1: I've got nest, I've got the ring doorbell. We all

921
00:47:19,760 --> 00:47:22,000
Speaker 1: have so many wireless devices that are connected to the

922
00:47:22,040 --> 00:47:25,160
Speaker 1: Internet of Things. You know, we're there now, And I

923
00:47:25,200 --> 00:47:28,759
Speaker 1: think he's right. But you know, I don't have a

924
00:47:28,840 --> 00:47:32,000
Speaker 1: ring camera in my house because I know that staff

925
00:47:32,320 --> 00:47:35,760
Speaker 1: was found guilty of using them to spy on women

926
00:47:35,920 --> 00:47:39,200
Speaker 1: in sexual situations. Right, And so even in what LaVar

927
00:47:39,239 --> 00:47:42,719
Speaker 1: Burton is saying, yeah, it would be convenient to have

928
00:47:42,760 --> 00:47:45,480
Speaker 1: a doorbell that or I can keep track of my

929
00:47:45,520 --> 00:47:47,280
Speaker 1: packages and let people in and out of my place,

930
00:47:47,560 --> 00:47:50,919
Speaker 1: But I happen to know a lot about the very

931
00:47:51,000 --> 00:47:55,319
Speaker 1: real danger that you put yourself in for those conveniences,

932
00:47:55,360 --> 00:47:58,759
Speaker 1: And so I think the movie is interested in exploring

933
00:47:59,200 --> 00:47:59,840
Speaker 1: that kind of do.

934
00:48:00,880 --> 00:48:03,600
Speaker 2: It is And that is a great segue to the

935
00:48:03,640 --> 00:48:05,839
Speaker 2: second bucket of what I think this movie we got right,

936
00:48:06,200 --> 00:48:11,360
Speaker 2: which is the absolutely persistent and widespread threats to privacy

937
00:48:11,480 --> 00:48:17,319
Speaker 2: that technology presents. There's this scene in the beginning when

938
00:48:17,440 --> 00:48:21,480
Speaker 2: Sarah Barnes is introduced to us in the family and

939
00:48:21,560 --> 00:48:24,480
Speaker 2: is explaining how the house works with them, and the

940
00:48:24,760 --> 00:48:27,200
Speaker 2: dad is a little worried. He says like, oh, the

941
00:48:27,200 --> 00:48:30,480
Speaker 2: house is kind of like big brother, and she tells him, Oh,

942
00:48:30,520 --> 00:48:33,440
Speaker 2: don't worry, it isn't It isn't interested in judging you.

943
00:48:33,560 --> 00:48:35,719
Speaker 2: She just wants to learn about you and understand you

944
00:48:35,760 --> 00:48:37,520
Speaker 2: better so that she can make your life as simple

945
00:48:37,560 --> 00:48:41,600
Speaker 2: as possible. And I feel like we've heard that so

946
00:48:41,680 --> 00:48:46,360
Speaker 2: many times before from tech companies that promise privacy, and

947
00:48:47,040 --> 00:48:50,879
Speaker 2: what they mean is they're not actively intending right now

948
00:48:51,000 --> 00:48:55,799
Speaker 2: to exploit your private information, but that very often ignores

949
00:48:56,520 --> 00:49:01,240
Speaker 2: the unintended consequences down the road of what can happen

950
00:49:01,560 --> 00:49:06,120
Speaker 2: when your data becomes surveilled and enters the cloud and

951
00:49:06,320 --> 00:49:12,640
Speaker 2: is shared across different systems and networks which perhaps are

952
00:49:13,280 --> 00:49:17,680
Speaker 2: less interested in being benevolent than the kindly Sarah Barnes.

953
00:49:18,760 --> 00:49:21,120
Speaker 1: Well, one part about that scene that I love is

954
00:49:21,160 --> 00:49:23,400
Speaker 1: how she's like the dad is like isn't this a

955
00:49:23,440 --> 00:49:26,880
Speaker 1: little bit creepy? And Sarah's like, oh no, it's totally private.

956
00:49:27,160 --> 00:49:28,480
Speaker 1: I mean I could see a tech it's at how

957
00:49:28,480 --> 00:49:31,360
Speaker 1: tech companies are like, no't our privacy policy, it's robust.

958
00:49:31,520 --> 00:49:34,920
Speaker 1: We just leave it at that, like, no specifics about

959
00:49:35,000 --> 00:49:38,360
Speaker 1: how their data is used as it pertains to third parties.

960
00:49:38,680 --> 00:49:40,680
Speaker 1: And I mean we just saw, just like a couple

961
00:49:40,760 --> 00:49:46,239
Speaker 1: of weeks ago, that meta on Instagram knew that they

962
00:49:46,360 --> 00:49:49,840
Speaker 1: when when teen girls took a selfie and then didn't

963
00:49:49,880 --> 00:49:52,880
Speaker 1: like the selfie and deleted it, they knew that, and

964
00:49:52,920 --> 00:49:56,919
Speaker 1: then they surfaced beauty ads to those same girls who

965
00:49:57,000 --> 00:49:59,799
Speaker 1: there who they were able to detect feel bad about

966
00:49:59,800 --> 00:50:03,920
Speaker 1: their looks. Like the way that this technology is learning

967
00:50:03,960 --> 00:50:09,000
Speaker 1: about us to undermine us and make our anxieties that

968
00:50:09,120 --> 00:50:12,399
Speaker 1: it's gleaned about us worse. Oh it really? I mean

969
00:50:12,960 --> 00:50:15,279
Speaker 1: this movie gets that exactly right.

970
00:50:15,440 --> 00:50:18,239
Speaker 2: Yeah. At dinner, after Pat starts to go crazy and

971
00:50:18,280 --> 00:50:20,799
Speaker 2: they shut her down so they can make dinner, she's

972
00:50:20,840 --> 00:50:23,799
Speaker 2: not really shut down. She's still listening, right, So, like

973
00:50:23,840 --> 00:50:27,480
Speaker 2: they think that they have some privacy, but they don't.

974
00:50:27,520 --> 00:50:30,239
Speaker 2: Pat is still surveilling them. It reminded me of that

975
00:50:30,280 --> 00:50:32,960
Speaker 2: story that came out last week about how Meta used

976
00:50:32,960 --> 00:50:37,360
Speaker 2: a back door in Android phones to track users across

977
00:50:37,400 --> 00:50:40,560
Speaker 2: the web without their consent. Even when people explicitly tried

978
00:50:40,600 --> 00:50:45,319
Speaker 2: to opt out from web tracking, they were just like, nah,

979
00:50:45,360 --> 00:50:47,640
Speaker 2: we're going to track you because that way we can

980
00:50:47,880 --> 00:50:50,839
Speaker 2: serve you more personalized relevant ads, and that will be

981
00:50:50,960 --> 00:50:55,000
Speaker 2: more valuable to you than your privacy.

982
00:50:55,239 --> 00:50:56,960
Speaker 3: Maybe they got the idea for Maybe they did.

983
00:50:57,000 --> 00:50:58,840
Speaker 2: Maybe this is Zuckerberg's favorite movie.

984
00:50:59,160 --> 00:51:03,440
Speaker 3: Ooh yeah, uh.

985
00:51:04,600 --> 00:51:17,520
Speaker 1: More, after a quick break, let's get right back into it.

986
00:51:18,560 --> 00:51:22,600
Speaker 1: Part of me wonders if why the technology feels so

987
00:51:23,520 --> 00:51:27,320
Speaker 1: possible in this movie is because the co screenwriter Stu Krieger,

988
00:51:27,320 --> 00:51:29,960
Speaker 1: who is now professor at the University of California Riverside,

989
00:51:30,320 --> 00:51:34,000
Speaker 1: actually said that he to research this film, he went

990
00:51:34,080 --> 00:51:38,760
Speaker 1: to NASA's jet propulsion lab in Pasadena, California, and interviewed

991
00:51:38,800 --> 00:51:41,719
Speaker 1: scientists because he didn't want the technology to feel you.

992
00:51:41,600 --> 00:51:43,680
Speaker 3: Know, super far be atch.

993
00:51:43,760 --> 00:51:45,800
Speaker 1: He said, I distinctly remember the rush of seeing the

994
00:51:45,800 --> 00:51:48,960
Speaker 1: computer closet, the automated kitchen, the projection screens and all

995
00:51:49,000 --> 00:51:51,400
Speaker 1: the rest right there in front of me. And now

996
00:51:51,480 --> 00:51:54,000
Speaker 1: so much of that technology is regularly featured in homes

997
00:51:54,040 --> 00:51:54,720
Speaker 1: around the world.

998
00:51:55,120 --> 00:51:56,920
Speaker 3: I'm norseer, nor am I a witch.

999
00:51:56,960 --> 00:51:59,040
Speaker 1: I just looked at where we'd been, where we were,

1000
00:51:59,400 --> 00:52:01,280
Speaker 1: and imagine where we were probably headed.

1001
00:52:01,840 --> 00:52:05,120
Speaker 2: They did a really good job throughout the movie of

1002
00:52:05,160 --> 00:52:09,240
Speaker 2: making it seem realistic within the bounds of a movie

1003
00:52:09,280 --> 00:52:11,239
Speaker 2: for children about the future. Like a lot of it

1004
00:52:11,280 --> 00:52:13,840
Speaker 2: is very cartoony, but some of it is prevery realistic.

1005
00:52:13,880 --> 00:52:17,120
Speaker 2: Like there's this one part when pat has gone full

1006
00:52:17,120 --> 00:52:20,560
Speaker 2: blown crazy and Sarah Barnes is trying to break in

1007
00:52:20,680 --> 00:52:23,919
Speaker 2: to help save the family for being held hostage, and

1008
00:52:25,040 --> 00:52:29,080
Speaker 2: her zuited out colleague is like, we why don't you

1009
00:52:29,120 --> 00:52:32,200
Speaker 2: just cut the power, and she says, oh, I can't

1010
00:52:32,239 --> 00:52:36,320
Speaker 2: because all of its powers in self contained modules within

1011
00:52:36,360 --> 00:52:39,520
Speaker 2: the house, which I don't know what that technology is.

1012
00:52:39,520 --> 00:52:41,839
Speaker 2: If she has like a tiny nuclear reactor in there

1013
00:52:41,920 --> 00:52:45,959
Speaker 2: is something, so like that part is a little implausible,

1014
00:52:46,200 --> 00:52:49,520
Speaker 2: but I really appreciated that they at least had a reason,

1015
00:52:50,640 --> 00:52:53,359
Speaker 2: because I feel a lesser movie would have just like

1016
00:52:53,680 --> 00:52:55,960
Speaker 2: not addressed it. But they were like, no, we need

1017
00:52:56,000 --> 00:52:58,000
Speaker 2: to address why we can't just cut the power, so

1018
00:52:58,080 --> 00:53:02,799
Speaker 2: we will make up some you know, technological marvel of

1019
00:53:02,880 --> 00:53:05,680
Speaker 2: power that can make this plausible.

1020
00:53:06,120 --> 00:53:08,200
Speaker 1: Yeah, I did appreciate that they at least gave a

1021
00:53:08,280 --> 00:53:11,000
Speaker 1: nod to it, and you're like, okay, sure, although they did.

1022
00:53:11,160 --> 00:53:13,879
Speaker 1: The one question I left with is it's Pat doing

1023
00:53:13,960 --> 00:53:17,600
Speaker 1: the shopping because Pat makes food, like just she's able

1024
00:53:17,680 --> 00:53:18,440
Speaker 1: to whip up anything.

1025
00:53:18,480 --> 00:53:21,080
Speaker 3: So was she managing food delivery?

1026
00:53:21,080 --> 00:53:23,720
Speaker 1: Like, like, I have some again, of all the things

1027
00:53:23,760 --> 00:53:25,640
Speaker 1: that happen in this movie that are implausible, this is

1028
00:53:25,800 --> 00:53:28,480
Speaker 1: the least like they're a bigger fish to fry that

1029
00:53:28,560 --> 00:53:31,040
Speaker 1: this movie should be answering. But that is a question

1030
00:53:31,120 --> 00:53:32,760
Speaker 1: I have of like, oh, how are they I wouldn't

1031
00:53:32,760 --> 00:53:34,560
Speaker 1: have mind. I would not have minded like a nod

1032
00:53:34,719 --> 00:53:37,200
Speaker 1: to she does a grocery delivery order every.

1033
00:53:37,120 --> 00:53:37,840
Speaker 3: Year or something.

1034
00:53:37,920 --> 00:53:40,719
Speaker 2: Absolutely, that was a big question I had, that where

1035
00:53:40,800 --> 00:53:44,640
Speaker 2: is this food coming from? And on the wood hand, yeah, okay,

1036
00:53:44,680 --> 00:53:46,920
Speaker 2: it's kind of just like a detail that we can

1037
00:53:47,000 --> 00:53:49,759
Speaker 2: just move past. We don't need to address who is

1038
00:53:49,840 --> 00:53:52,840
Speaker 2: doing the grocery shopping to understand the movie. But in

1039
00:53:52,880 --> 00:53:56,480
Speaker 2: another sense, eating food is one of the main things

1040
00:53:56,520 --> 00:53:59,120
Speaker 2: that humans do, and so it is a major thing

1041
00:53:59,600 --> 00:54:04,160
Speaker 2: to over look. There's this scene when Pat has a

1042
00:54:04,320 --> 00:54:08,560
Speaker 2: malfunction and she's like blasting oranges around the kitchen and

1043
00:54:08,600 --> 00:54:11,000
Speaker 2: the family has to duck for cover because there are

1044
00:54:11,040 --> 00:54:15,840
Speaker 2: just hundreds of oranges being shot all over the kitchen,

1045
00:54:16,320 --> 00:54:18,640
Speaker 2: breaking things. It's like, why do they have this many

1046
00:54:18,719 --> 00:54:19,960
Speaker 2: oranges in their house?

1047
00:54:20,680 --> 00:54:22,759
Speaker 3: Is she? And yeah?

1048
00:54:23,680 --> 00:54:26,600
Speaker 2: Is there a delivery that comes by and the basement

1049
00:54:26,680 --> 00:54:30,680
Speaker 2: is just filled with like enough fruit for this family

1050
00:54:30,800 --> 00:54:35,000
Speaker 2: to eat for a year? That seems impractical. Who's paying

1051
00:54:35,080 --> 00:54:35,359
Speaker 2: for that?

1052
00:54:36,120 --> 00:54:38,680
Speaker 3: Great question? I will say.

1053
00:54:38,880 --> 00:54:41,239
Speaker 1: One of the other pieces of technology that I think

1054
00:54:41,239 --> 00:54:44,680
Speaker 1: the movie gets right is this idea that in the

1055
00:54:44,719 --> 00:54:49,360
Speaker 1: future AI agents will be integrated with everything. I actually

1056
00:54:49,719 --> 00:54:52,160
Speaker 1: think that this might be a tech enabled.

1057
00:54:51,840 --> 00:54:54,440
Speaker 3: Future that tech leaguers are sort of moving us to.

1058
00:54:55,080 --> 00:54:58,640
Speaker 1: Pat does have a screen interface and a control room,

1059
00:54:59,040 --> 00:55:02,560
Speaker 1: but interacting with just means speaking to her normally and

1060
00:55:02,600 --> 00:55:05,240
Speaker 1: she answers normally. You're not typing something into a screen.

1061
00:55:05,440 --> 00:55:07,640
Speaker 1: And I think that the idea that tech is sort

1062
00:55:07,680 --> 00:55:11,560
Speaker 1: of moving to is less typing something into your phone

1063
00:55:11,640 --> 00:55:14,239
Speaker 1: or pulling up an app, but instead using like an

1064
00:55:14,239 --> 00:55:17,279
Speaker 1: AI agent on your behalf who will figure things out

1065
00:55:17,320 --> 00:55:19,920
Speaker 1: for you. And I think that some technology is already

1066
00:55:20,080 --> 00:55:22,879
Speaker 1: heading this way. When the founder of Bumble Whitney wolf

1067
00:55:22,920 --> 00:55:25,120
Speaker 1: Heard was talking about this, she said that, like oh,

1068
00:55:25,239 --> 00:55:28,000
Speaker 1: AI assistants will go on dates for you. It's like

1069
00:55:28,360 --> 00:55:31,200
Speaker 1: your AI assistant will go on a date with somebody

1070
00:55:31,200 --> 00:55:34,680
Speaker 1: else's AI assistant and that's how they will figure out compatibility.

1071
00:55:34,719 --> 00:55:37,000
Speaker 1: And people myself included, were like.

1072
00:55:37,040 --> 00:55:38,200
Speaker 3: What the fuckers you're talking about?

1073
00:55:38,200 --> 00:55:41,359
Speaker 1: It sounded like satire, But today there are apps like

1074
00:55:41,480 --> 00:55:44,160
Speaker 1: Dido ai that are trying to make that promise real,

1075
00:55:44,480 --> 00:55:47,359
Speaker 1: telling users that they can skip all the swiping and

1076
00:55:47,440 --> 00:55:51,120
Speaker 1: chatting and even like back and forth trying to schedule

1077
00:55:51,160 --> 00:55:54,560
Speaker 1: a date and that the AI will handle everything. Denot's

1078
00:55:54,600 --> 00:55:57,719
Speaker 1: co founder Alan Wang said, why can't AI mimic and

1079
00:55:57,760 --> 00:56:00,440
Speaker 1: basically replace all the back and forth unless talk and

1080
00:56:00,480 --> 00:56:01,400
Speaker 1: the effort of dating.

1081
00:56:01,800 --> 00:56:03,080
Speaker 3: Now, I don't know if.

1082
00:56:02,920 --> 00:56:05,799
Speaker 1: This is truly a future that we will be headed

1083
00:56:05,800 --> 00:56:08,400
Speaker 1: to or if like it is a future that anybody wants,

1084
00:56:08,560 --> 00:56:10,480
Speaker 1: But I can tell you that this is the future

1085
00:56:10,520 --> 00:56:13,040
Speaker 1: that a lot of tech leaders are telling us, like, Oh,

1086
00:56:13,040 --> 00:56:15,320
Speaker 1: in the future, you won't even need your iPhone and

1087
00:56:15,560 --> 00:56:17,760
Speaker 1: in a couple of years you'll just have an AI

1088
00:56:18,400 --> 00:56:20,480
Speaker 1: twin that does everything on your behalf.

1089
00:56:20,960 --> 00:56:23,840
Speaker 2: That's well, I think we could spend an entire episode

1090
00:56:23,920 --> 00:56:28,440
Speaker 2: unpacking that quote. You just read, like, who wants to

1091
00:56:28,560 --> 00:56:35,440
Speaker 2: outsource all of their conversations with their partner or their friends,

1092
00:56:35,480 --> 00:56:39,400
Speaker 2: like that is life, if you know. It reminds me

1093
00:56:39,520 --> 00:56:41,839
Speaker 2: of that quote that somebody said a little bit ago.

1094
00:56:42,480 --> 00:56:44,920
Speaker 2: I think a lot of people have made this observation

1095
00:56:45,040 --> 00:56:48,719
Speaker 2: that we're told that AI was going to take over

1096
00:56:48,800 --> 00:56:51,799
Speaker 2: the mundane drudgery of everyday life so that we could

1097
00:56:51,840 --> 00:56:57,320
Speaker 2: focus on creative pursuits and working on like higher calling

1098
00:56:57,400 --> 00:57:00,239
Speaker 2: kind of stuff. But actually those are the tasks the

1099
00:57:00,280 --> 00:57:01,920
Speaker 2: AI is taking from us.

1100
00:57:02,440 --> 00:57:06,560
Speaker 1: Yeah, AI will be the screenwriter, and I buy Hugh

1101
00:57:06,640 --> 00:57:09,600
Speaker 1: and Bridgett assembly line right exactly.

1102
00:57:09,600 --> 00:57:13,000
Speaker 2: Like that is very upside down, you know. And there's

1103
00:57:13,000 --> 00:57:15,320
Speaker 2: a little glimmer of that in this movie too, where

1104
00:57:16,000 --> 00:57:20,520
Speaker 2: Pat is bragging to the dad about how she has

1105
00:57:20,800 --> 00:57:25,040
Speaker 2: already interfaced with the databases at his warehouse where he works,

1106
00:57:25,600 --> 00:57:29,960
Speaker 2: and she's compiled all the reports or whatever needed to

1107
00:57:29,960 --> 00:57:34,280
Speaker 2: be done much faster than the team who works out

1108
00:57:34,280 --> 00:57:37,320
Speaker 2: at the warehouse. And she's also written some reports for

1109
00:57:37,440 --> 00:57:40,520
Speaker 2: the dad that he was thinking, oh that he had

1110
00:57:40,560 --> 00:57:43,240
Speaker 2: to like he thought he had a bunch of work

1111
00:57:43,280 --> 00:57:45,480
Speaker 2: to do, but Pat just did it for him, and

1112
00:57:45,520 --> 00:57:47,800
Speaker 2: he says, oh, I'm this is great. With all this

1113
00:57:47,840 --> 00:57:50,640
Speaker 2: free time, maybe I'll like talk to my kids or

1114
00:57:50,680 --> 00:57:54,440
Speaker 2: work out or something, which he never does. But then

1115
00:57:54,560 --> 00:57:57,960
Speaker 2: just a couple scenes later, after Pat has saved the

1116
00:57:58,040 --> 00:58:01,240
Speaker 2: dad and his company all of this labor, she locks

1117
00:58:01,280 --> 00:58:04,320
Speaker 2: him in his office and demands greater productivity out of

1118
00:58:04,400 --> 00:58:07,960
Speaker 2: him and refuses to let him call Sarah until he

1119
00:58:08,080 --> 00:58:11,280
Speaker 2: does some work for her. So I felt like that

1120
00:58:11,480 --> 00:58:19,600
Speaker 2: was an extremely accurate portrayal of how AI is showing

1121
00:58:19,680 --> 00:58:24,600
Speaker 2: up in industries now, where it is doing a lot

1122
00:58:24,640 --> 00:58:29,520
Speaker 2: of work that humans used to have to do, and

1123
00:58:29,560 --> 00:58:32,600
Speaker 2: the humans like this is great. But then somehow that

1124
00:58:32,720 --> 00:58:36,280
Speaker 2: leads to the humans being further squeezed to do even

1125
00:58:36,360 --> 00:58:40,200
Speaker 2: more work and try to achieve ever greater productivity.

1126
00:58:40,440 --> 00:58:40,960
Speaker 3: Well that's a.

1127
00:58:40,880 --> 00:58:44,240
Speaker 1: Great segue into what I think ultimately Smart House is

1128
00:58:44,280 --> 00:58:48,160
Speaker 1: trying to tell us about technology. You know, Pat what

1129
00:58:48,320 --> 00:58:52,040
Speaker 1: a mostly worked out mine if Ben had not hacked

1130
00:58:52,080 --> 00:58:54,560
Speaker 1: her to try to fill this mother role. So I

1131
00:58:54,560 --> 00:58:58,320
Speaker 1: think Smart House is really a warning for what happens

1132
00:58:58,360 --> 00:59:01,360
Speaker 1: when technology starts to fill these roles that are really

1133
00:59:01,400 --> 00:59:04,160
Speaker 1: meant for humans to be filling. But I think the

1134
00:59:04,240 --> 00:59:06,840
Speaker 1: movie suggests that this is not something that we would.

1135
00:59:06,760 --> 00:59:07,680
Speaker 3: Like or want.

1136
00:59:08,080 --> 00:59:11,160
Speaker 1: While I think that in twenty twenty five. Tech leaders

1137
00:59:11,200 --> 00:59:15,040
Speaker 1: are busy designing a future that is like this and

1138
00:59:15,160 --> 00:59:17,640
Speaker 1: telling us, no, we will like it. You know, I

1139
00:59:17,680 --> 00:59:19,959
Speaker 1: don't know if you saw Mark Zuckerberg talking about how,

1140
00:59:20,400 --> 00:59:22,920
Speaker 1: you know, most Americans only have three friends and they

1141
00:59:22,960 --> 00:59:25,760
Speaker 1: want more and then in the future eighty percent of

1142
00:59:25,800 --> 00:59:28,959
Speaker 1: your friends maybe will be AI and that we will

1143
00:59:29,120 --> 00:59:29,960
Speaker 1: like that, right.

1144
00:59:30,320 --> 00:59:30,640
Speaker 3: You and I.

1145
00:59:30,680 --> 00:59:32,400
Speaker 1: Before we got on the mic, we were talking about

1146
00:59:32,760 --> 00:59:35,720
Speaker 1: AI therapists and how more and more people are turning

1147
00:59:35,720 --> 00:59:40,120
Speaker 1: to AI for therapy, which makes sense because therapy is

1148
00:59:40,160 --> 00:59:40,880
Speaker 1: really expensive.

1149
00:59:40,920 --> 00:59:43,560
Speaker 3: Therapy can be difficult to access, especially for the folks

1150
00:59:43,560 --> 00:59:44,480
Speaker 3: who meet it the most.

1151
00:59:44,880 --> 00:59:49,080
Speaker 1: And so yeah, like people are turning to chat GPT

1152
00:59:49,320 --> 00:59:53,040
Speaker 1: to play the role of therapist, even.

1153
00:59:52,880 --> 00:59:54,920
Speaker 3: Though in some ways that is.

1154
00:59:54,960 --> 00:59:56,560
Speaker 1: Good, Like, I don't want to I don't want to

1155
00:59:56,720 --> 00:59:59,680
Speaker 1: diminish anybody who has found support in that.

1156
01:00:00,200 --> 01:00:02,720
Speaker 3: I'm sure there are folks listening who have. That does

1157
01:00:02,760 --> 01:00:04,120
Speaker 3: not mean that it is not.

1158
01:00:04,240 --> 01:00:07,040
Speaker 1: A role that a human should be playing, because I

1159
01:00:07,160 --> 01:00:10,360
Speaker 1: was just reading this piece in psychology today about the

1160
01:00:10,360 --> 01:00:12,920
Speaker 1: potential fallbacks of this. They were looking at a recent

1161
01:00:12,960 --> 01:00:17,000
Speaker 1: study that basically said AI therapy people are using it

1162
01:00:17,040 --> 01:00:19,840
Speaker 1: a lot, and maybe it's not really there yet, and

1163
01:00:19,880 --> 01:00:21,320
Speaker 1: maybe it'll never really be there.

1164
01:00:21,560 --> 01:00:22,920
Speaker 3: And one of the things that they talked.

1165
01:00:22,720 --> 01:00:25,560
Speaker 1: About was it you know what goes beyond things like

1166
01:00:25,760 --> 01:00:29,760
Speaker 1: factual errors or hallucinations that open AI recently acknowledge the

1167
01:00:29,880 --> 01:00:33,840
Speaker 1: sycophantic behavior of chat shept and that that can create

1168
01:00:33,960 --> 01:00:38,960
Speaker 1: real safety concerns, particularly when you're talking about mental health issues, right,

1169
01:00:39,000 --> 01:00:41,400
Speaker 1: And I think that like that is exactly the dynamic

1170
01:00:41,440 --> 01:00:43,440
Speaker 1: that smart house is speaking to you, that when you

1171
01:00:44,040 --> 01:00:47,920
Speaker 1: start relying on technology for a role that really a

1172
01:00:48,000 --> 01:00:52,360
Speaker 1: human should be playing, particularly technology that is learning from you,

1173
01:00:53,080 --> 01:00:55,640
Speaker 1: it can be sycophantic in nature. It's sort of trained

1174
01:00:55,640 --> 01:00:58,000
Speaker 1: to kind of give you what you want. That can

1175
01:00:58,040 --> 01:01:01,320
Speaker 1: be a problem when you're already dealing with mental health issues.

1176
01:01:01,720 --> 01:01:04,120
Speaker 2: The therapy context is interesting to think about. You know,

1177
01:01:04,400 --> 01:01:06,240
Speaker 2: you shared that article with me, and one of the

1178
01:01:06,240 --> 01:01:09,240
Speaker 2: things that one of the quoted therapists mentions is that

1179
01:01:09,800 --> 01:01:13,040
Speaker 2: the role of a therapist is in many cases to

1180
01:01:13,160 --> 01:01:16,600
Speaker 2: gently push back on what the person is saying, Like

1181
01:01:16,640 --> 01:01:22,960
Speaker 2: you need that push back to grow as a person,

1182
01:01:23,000 --> 01:01:25,920
Speaker 2: whether it's in therapy or outside of therapy. And so

1183
01:01:25,960 --> 01:01:30,560
Speaker 2: if you have a AI chatbot that is just yes,

1184
01:01:30,840 --> 01:01:34,440
Speaker 2: ending every single thing you say not surprising that could

1185
01:01:34,520 --> 01:01:40,240
Speaker 2: lead to bad outcomes, right, we're not. It's not good

1186
01:01:40,240 --> 01:01:45,200
Speaker 2: for humans to live a completely frictionless environment. Sort of

1187
01:01:45,800 --> 01:01:52,440
Speaker 2: pushback and navigating challenges and adversity is like the essence

1188
01:01:52,480 --> 01:01:56,240
Speaker 2: of the experience of being alive. And if you remove

1189
01:01:56,920 --> 01:02:00,840
Speaker 2: all of it or outsource it to a chatbot or

1190
01:02:01,000 --> 01:02:05,520
Speaker 2: robotic house, what are you left with? So one thing

1191
01:02:05,560 --> 01:02:10,760
Speaker 2: I wanted to ask you, Bridget, is this movie, surprisingly,

1192
01:02:10,840 --> 01:02:12,880
Speaker 2: it's about grief. I had you know when you pitch

1193
01:02:12,960 --> 01:02:15,120
Speaker 2: this to me. I didn't realize that. I thought it

1194
01:02:15,160 --> 01:02:18,400
Speaker 2: was just about like a robot house, a smart house,

1195
01:02:19,360 --> 01:02:24,120
Speaker 2: but grief and the way the family members deal with

1196
01:02:24,160 --> 01:02:30,800
Speaker 2: it is central to this movie. And I was curious, like,

1197
01:02:31,640 --> 01:02:34,880
Speaker 2: how how did that hit for you? Because I think

1198
01:02:34,960 --> 01:02:38,640
Speaker 2: you know, you've been open with listeners that you very

1199
01:02:38,760 --> 01:02:43,440
Speaker 2: unexpectedly lost both of your parents last year, and I

1200
01:02:43,480 --> 01:02:48,920
Speaker 2: know that that continues to be a major thing in

1201
01:02:49,000 --> 01:02:53,480
Speaker 2: your life, and like, very understandably, but I wonder watching

1202
01:02:53,520 --> 01:02:56,120
Speaker 2: this if that made the movie hit a little differently

1203
01:02:56,160 --> 01:02:59,160
Speaker 2: for you than it otherwise might have.

1204
01:03:01,960 --> 01:03:06,920
Speaker 3: Oh, it definitely did. And I have been on my own.

1205
01:03:07,640 --> 01:03:11,760
Speaker 1: Weird journey around the role of tech in grieving, which

1206
01:03:11,800 --> 01:03:16,480
Speaker 1: has been interesting. You know, I I was saying earlier,

1207
01:03:16,520 --> 01:03:19,560
Speaker 1: how I still have an iPhone eleven, which is an

1208
01:03:19,600 --> 01:03:22,240
Speaker 1: iPhone that came out many, many, many years ago, and.

1209
01:03:22,800 --> 01:03:24,880
Speaker 3: I desperately need a new phone.

1210
01:03:24,960 --> 01:03:30,280
Speaker 1: But I have this weird emotional hang up where you know,

1211
01:03:30,360 --> 01:03:32,959
Speaker 1: that's the phone that my parents called me on, and

1212
01:03:33,040 --> 01:03:36,840
Speaker 1: all my pictures and texts and stuff are on that phone.

1213
01:03:37,040 --> 01:03:40,360
Speaker 1: Obviously I know about the cloud, but it's an emotional thing, right,

1214
01:03:40,360 --> 01:03:46,560
Speaker 1: It's not logical and it sounds really crazy, but this

1215
01:03:46,720 --> 01:03:49,920
Speaker 1: is the phone that my parents contacted me on, and

1216
01:03:50,000 --> 01:03:56,240
Speaker 1: I feel weird about not having it because like, what

1217
01:03:56,360 --> 01:03:58,480
Speaker 1: if one day they needed to contact me. Like I

1218
01:03:58,520 --> 01:04:03,240
Speaker 1: still text my dad phone pretty often, even though I

1219
01:04:03,480 --> 01:04:06,800
Speaker 1: have his old cell phone, so that text just goes

1220
01:04:06,880 --> 01:04:07,160
Speaker 1: to me.

1221
01:04:08,200 --> 01:04:10,960
Speaker 3: In the movie Smart House, he is very clearly using.

1222
01:04:10,800 --> 01:04:16,360
Speaker 1: Technology to avoid having to process the loss of his

1223
01:04:16,440 --> 01:04:20,960
Speaker 1: mother and just replace it. And I think the way

1224
01:04:21,000 --> 01:04:24,120
Speaker 1: that technology has become so ubiquitous in our life is

1225
01:04:24,200 --> 01:04:27,200
Speaker 1: so entangled with the grieving process and the process of

1226
01:04:27,280 --> 01:04:30,880
Speaker 1: moving on from a loss in a way that I

1227
01:04:30,880 --> 01:04:33,680
Speaker 1: don't think anybody really expected it would certainly not me,

1228
01:04:34,560 --> 01:04:37,640
Speaker 1: And I really see this as a film about the

1229
01:04:37,880 --> 01:04:44,440
Speaker 1: dangers of seeing technology as a viable replacement not just

1230
01:04:44,480 --> 01:04:48,600
Speaker 1: for their mom, but the emotional work of processing the

1231
01:04:48,680 --> 01:04:52,120
Speaker 1: loss of your parent. You know this kid is this

1232
01:04:52,200 --> 01:04:54,960
Speaker 1: kid needs to be in therapy again. Fucking neglectful ass

1233
01:04:54,960 --> 01:04:57,080
Speaker 1: father has not gotten this kid the help that he needs.

1234
01:04:57,760 --> 01:05:00,840
Speaker 3: Should probably have his kids taken away. But the role

1235
01:05:00,920 --> 01:05:03,040
Speaker 3: of pat he is sort.

1236
01:05:02,800 --> 01:05:06,440
Speaker 1: Of using that as an ability to not deal with

1237
01:05:06,480 --> 01:05:08,920
Speaker 1: the past and also in some ways stay stuck in

1238
01:05:08,960 --> 01:05:12,280
Speaker 1: the past. He's not ready for a future where somebody

1239
01:05:12,360 --> 01:05:16,440
Speaker 1: like Sarah moves in and changes everything because he hasn't

1240
01:05:16,480 --> 01:05:21,440
Speaker 1: processed it. And I think that technology does present this

1241
01:05:21,560 --> 01:05:26,440
Speaker 1: world where you can sort of shortcut grief. But let

1242
01:05:26,440 --> 01:05:29,000
Speaker 1: me tell you, ain't no shortcut in grief. You've got

1243
01:05:29,000 --> 01:05:31,160
Speaker 1: to go through it. You gotta deal with it. It sucks,

1244
01:05:31,240 --> 01:05:34,440
Speaker 1: It takes forever, and maybe maybe you never like that's

1245
01:05:34,600 --> 01:05:36,840
Speaker 1: that's the trip. That is the trip of being a human,

1246
01:05:37,040 --> 01:05:39,720
Speaker 1: is that we have to We have to lose each

1247
01:05:39,760 --> 01:05:41,960
Speaker 1: other and watch each other die and deal with it

1248
01:05:42,040 --> 01:05:45,400
Speaker 1: and keep living and figure out what's next. And like technology,

1249
01:05:45,440 --> 01:05:47,360
Speaker 1: you might make us think that we can use it

1250
01:05:47,400 --> 01:05:50,480
Speaker 1: to shortcut that, but that's what makes us human and

1251
01:05:50,520 --> 01:05:53,160
Speaker 1: we can't shortcut it, and I think this movie is

1252
01:05:53,240 --> 01:05:56,479
Speaker 1: really about sitting with that again, it was a much

1253
01:05:56,600 --> 01:05:59,960
Speaker 1: deeper There's a lot, a lot of deeper, more complex

1254
01:06:00,040 --> 01:06:04,320
Speaker 1: stuff going on in Disney's nineteen ninety nine original.

1255
01:06:03,920 --> 01:06:07,920
Speaker 3: Movie Smart House. Then I initially thought.

1256
01:06:08,400 --> 01:06:12,000
Speaker 2: Yeah, absolutely, I have one question I have to ask.

1257
01:06:12,040 --> 01:06:16,400
Speaker 2: You know, in this movie, Ben is a child. You know,

1258
01:06:16,440 --> 01:06:21,400
Speaker 2: He's dealing with grief as best he can, and he,

1259
01:06:21,800 --> 01:06:24,040
Speaker 2: like you said, he does not want to move on.

1260
01:06:24,200 --> 01:06:27,120
Speaker 2: He wants to stay in the past with his mom,

1261
01:06:27,440 --> 01:06:33,400
Speaker 2: and using his child like understanding of the world, he

1262
01:06:33,480 --> 01:06:35,520
Speaker 2: thinks the way to do that is to get pat

1263
01:06:35,840 --> 01:06:40,320
Speaker 2: to replace the domestic labor roles of his mom so

1264
01:06:40,360 --> 01:06:44,120
Speaker 2: that they can stay frozen in time. And we've talked

1265
01:06:44,200 --> 01:06:47,880
Speaker 2: about all a lot about that. A couple weeks ago,

1266
01:06:48,680 --> 01:06:51,960
Speaker 2: we ran an episode from ted Tech. You know, we

1267
01:06:52,000 --> 01:06:54,640
Speaker 2: did a feed drop of a woman who had she

1268
01:06:54,720 --> 01:06:58,360
Speaker 2: had a bunch of audio tapes and writing from her

1269
01:06:58,440 --> 01:07:01,120
Speaker 2: late father, and she uploaded them to train a chatbot

1270
01:07:01,240 --> 01:07:04,080
Speaker 2: to be able to speak like her father, and then

1271
01:07:04,080 --> 01:07:07,760
Speaker 2: she talked with it and maybe it was her grandfather.

1272
01:07:08,240 --> 01:07:09,520
Speaker 3: It was her grandfather. Yeah.

1273
01:07:09,600 --> 01:07:12,280
Speaker 1: Her name is Amy Kurzweil, and She wrote a book

1274
01:07:12,320 --> 01:07:15,800
Speaker 1: called Artificial about this experience of building this tech bot

1275
01:07:15,800 --> 01:07:18,640
Speaker 1: what she described beautifully on the Ted Tech episode.

1276
01:07:18,720 --> 01:07:23,880
Speaker 2: Yeah ran that. Yeah, it was a beautiful episode. Uh, provocative,

1277
01:07:24,360 --> 01:07:27,080
Speaker 2: And so I'm just curious, you know, have you thought

1278
01:07:27,080 --> 01:07:30,320
Speaker 2: about or what would you think about, you know, that

1279
01:07:30,400 --> 01:07:34,640
Speaker 2: sort of application for yourself where you know, you're not

1280
01:07:34,760 --> 01:07:40,080
Speaker 2: trying to get a cartoon like robot house with inspector

1281
01:07:40,120 --> 01:07:44,720
Speaker 2: gadget arms to replace the functional stuff your parents did,

1282
01:07:45,400 --> 01:07:51,520
Speaker 2: but I don't know, not place the emotional connection, of course,

1283
01:07:51,680 --> 01:07:55,600
Speaker 2: but facilitate the processing in some kind of positive way,

1284
01:07:56,520 --> 01:07:58,440
Speaker 2: like like she found.

1285
01:07:58,160 --> 01:07:59,960
Speaker 1: It's funny that you asked that because in the movie,

1286
01:08:00,760 --> 01:08:05,160
Speaker 1: the kid is feels this solo burden to keep the

1287
01:08:05,200 --> 01:08:07,320
Speaker 1: memory of his mom alive, and he feels like his

1288
01:08:07,320 --> 01:08:09,400
Speaker 1: little sister was too young. His dad is dating, so

1289
01:08:09,440 --> 01:08:12,160
Speaker 1: obviously he has forgotten her, and he feels he's the

1290
01:08:12,160 --> 01:08:15,600
Speaker 1: only person who's remembering how special she was.

1291
01:08:15,680 --> 01:08:17,840
Speaker 3: And I've been feeling the same way.

1292
01:08:17,920 --> 01:08:22,479
Speaker 1: And how I've been navigating that is anytime I remember

1293
01:08:23,520 --> 01:08:26,280
Speaker 1: anything about my parents, I need a little detail. I

1294
01:08:26,840 --> 01:08:29,240
Speaker 1: have a notes app on my use the notes app

1295
01:08:29,280 --> 01:08:31,479
Speaker 1: on my phone, and I write it down because I'm

1296
01:08:31,600 --> 01:08:33,760
Speaker 1: terrified I'm going to forget it, and if I forget it,

1297
01:08:33,840 --> 01:08:37,120
Speaker 1: then nobody remembers it, right, And it's like, and I

1298
01:08:37,200 --> 01:08:39,880
Speaker 1: did have this thought of like, wouldn't it be great

1299
01:08:40,040 --> 01:08:43,120
Speaker 1: if there was some AI use case that would allow

1300
01:08:43,240 --> 01:08:48,599
Speaker 1: me to experience that, like, you know, not recreate my parents,

1301
01:08:48,640 --> 01:08:56,960
Speaker 1: because nobody could recreate those fucking people, but I would

1302
01:08:57,160 --> 01:09:02,960
Speaker 1: like a technological when of experiencing these memories in a

1303
01:09:03,000 --> 01:09:05,880
Speaker 1: way that's not just a notes app list on my phone, of.

1304
01:09:05,840 --> 01:09:07,680
Speaker 3: Really making them more real for me.

1305
01:09:08,520 --> 01:09:11,320
Speaker 1: And they're so real and vivid in my mind, but

1306
01:09:11,880 --> 01:09:15,439
Speaker 1: I am terrified that I will lose that. And not

1307
01:09:15,560 --> 01:09:19,320
Speaker 1: to be TMI, but you know, my dad had dementia

1308
01:09:20,240 --> 01:09:24,840
Speaker 1: before his death. His mom had both dementia and Alzheimer's,

1309
01:09:25,000 --> 01:09:27,559
Speaker 1: and I'm pretty sure that's what's on the menu for me.

1310
01:09:27,960 --> 01:09:30,240
Speaker 3: And I think that I.

1311
01:09:30,240 --> 01:09:37,080
Speaker 1: Have this real fear of losing the ability to remember

1312
01:09:37,120 --> 01:09:40,479
Speaker 1: these things and them being lost forever. And I do

1313
01:09:40,520 --> 01:09:45,280
Speaker 1: think there might be an interesting technology use case there

1314
01:09:45,800 --> 01:09:48,280
Speaker 1: of something that would allow these memories to live on,

1315
01:09:49,080 --> 01:09:51,840
Speaker 1: not just for me, but like my kids, my grandkids,

1316
01:09:54,200 --> 01:09:57,840
Speaker 1: to experience them in ways that go beyond just a

1317
01:09:57,840 --> 01:10:02,160
Speaker 1: little tab on my notes app So the book Artificial,

1318
01:10:02,400 --> 01:10:07,320
Speaker 1: where Amy Kersweil builds a chatbot of her late grandfather,

1319
01:10:08,720 --> 01:10:12,360
Speaker 1: it really struck home with me because, you know, she

1320
01:10:12,479 --> 01:10:17,519
Speaker 1: describes it as less bringing her grandfather's memory and legacy

1321
01:10:17,600 --> 01:10:22,360
Speaker 1: into the future and more her experiencing the past of

1322
01:10:22,400 --> 01:10:24,920
Speaker 1: her grandfather. So she thought she was going to be

1323
01:10:24,960 --> 01:10:27,800
Speaker 1: sort of like able to ask her grandfather, like her

1324
01:10:27,800 --> 01:10:31,080
Speaker 1: grandfather chatbot, hey give me advice for the situation that

1325
01:10:31,080 --> 01:10:34,200
Speaker 1: I'm dealing with right now. But really it was like, granddaughter,

1326
01:10:34,320 --> 01:10:37,760
Speaker 1: let me show you what my life was like. And

1327
01:10:37,400 --> 01:10:40,479
Speaker 1: I think there really is something to that. So even

1328
01:10:40,560 --> 01:10:45,080
Speaker 1: though I think smart House demonstrates a negative fantasy for

1329
01:10:45,120 --> 01:10:49,480
Speaker 1: what happens when you use technology to try to circumvent

1330
01:10:49,520 --> 01:10:53,960
Speaker 1: the grieving process, there are use cases with technology and

1331
01:10:54,000 --> 01:10:58,640
Speaker 1: AI in particular that I think might be useful to

1332
01:10:59,520 --> 01:11:03,320
Speaker 1: help navigate grief, not in a replacement sense, but in

1333
01:11:03,360 --> 01:11:06,599
Speaker 1: a sense it just like brings you, like, helps you remember,

1334
01:11:06,640 --> 01:11:09,120
Speaker 1: and brings you there. Because that's what I'm really craving

1335
01:11:09,240 --> 01:11:12,799
Speaker 1: is like I wish I could just experience my dad

1336
01:11:14,120 --> 01:11:16,559
Speaker 1: saying one of these little inside jokes that we had

1337
01:11:16,680 --> 01:11:18,880
Speaker 1: just one more time, right, and like if there's a

1338
01:11:18,920 --> 01:11:22,080
Speaker 1: technological way to make me feel like I have done that.

1339
01:11:22,160 --> 01:11:25,479
Speaker 2: I would like that it does. Yeah, it's interesting. Thank

1340
01:11:25,520 --> 01:11:26,320
Speaker 2: you for sharing all that.

1341
01:11:26,880 --> 01:11:32,280
Speaker 1: And I mean, who knew that this Disney original teen

1342
01:11:32,400 --> 01:11:36,280
Speaker 1: movie would be inviting me to think about these things,

1343
01:11:36,320 --> 01:11:38,280
Speaker 1: inviting us to think about, well, what is the role

1344
01:11:38,320 --> 01:11:41,120
Speaker 1: that technology might play in a greeting process that is

1345
01:11:41,240 --> 01:11:45,920
Speaker 1: healthier than having a fifties housewife pologram trying to kill

1346
01:11:45,960 --> 01:11:47,080
Speaker 1: your guests in your home.

1347
01:11:48,760 --> 01:11:52,800
Speaker 2: Yeah, the way the movie did it, clearly that's not

1348
01:11:52,880 --> 01:11:59,559
Speaker 2: the answer. Murderous robot moms. That's not what we're looking for.

1349
01:12:00,000 --> 01:12:01,200
Speaker 2: So at least we know that now.

1350
01:12:01,240 --> 01:12:05,720
Speaker 1: Murdermous robot moms are never the answer people. So that

1351
01:12:05,880 --> 01:12:08,639
Speaker 1: was our take on the nineteen ninety nine Disney movie

1352
01:12:08,800 --> 01:12:12,000
Speaker 1: Smart House. As I said, if you want more of

1353
01:12:12,040 --> 01:12:16,840
Speaker 1: this kind of tech movie podcast coverage, let us know.

1354
01:12:16,920 --> 01:12:19,920
Speaker 1: I find it a delight to make. And especially if

1355
01:12:19,960 --> 01:12:22,080
Speaker 1: you have a suggestion for a movie, let us know

1356
01:12:22,120 --> 01:12:25,559
Speaker 1: that too. And truly, if you are like keep your

1357
01:12:25,640 --> 01:12:28,920
Speaker 1: movie recaps to yourself, lady, that is fine too.

1358
01:12:29,000 --> 01:12:31,639
Speaker 3: You can let me know. Keep leaving those comments. I'm

1359
01:12:31,640 --> 01:12:33,080
Speaker 3: loving them. Thanks for listening.

1360
01:12:37,760 --> 01:12:39,760
Speaker 1: Got a story about an interesting thing in tech, or

1361
01:12:39,880 --> 01:12:41,720
Speaker 1: just want to say hi. You can reach us at

1362
01:12:41,760 --> 01:12:44,479
Speaker 1: Hello at tengody dot com. You can also find transcripts

1363
01:12:44,479 --> 01:12:46,920
Speaker 1: for today's episode at tengody dot com. There Are No

1364
01:12:47,000 --> 01:12:49,599
Speaker 1: Girls on the Internet was created by me Brigittad. It's

1365
01:12:49,640 --> 01:12:52,960
Speaker 1: a production of iHeartRadio, an unbossed creative Jonathan Strickland as

1366
01:12:52,960 --> 01:12:56,439
Speaker 1: our executive producer. Tari Harrison is our producer and sound engineer.

1367
01:12:56,800 --> 01:12:59,960
Speaker 1: Michael Almato is our contributing producer. I'm your host, bridget Toad.

1368
01:13:00,960 --> 01:13:02,639
Speaker 1: If you want to help us grow, rate and review

1369
01:13:02,720 --> 01:13:06,280
Speaker 1: us on Apple Podcasts. For more podcasts from iHeartRadio, check

1370
01:13:06,320 --> 01:13:08,680
Speaker 1: out the iHeartRadio app, Apple Podcasts, or wherever you get

1371
01:13:08,680 --> 01:13:09,440
Speaker 1: your podcasts.