WEBVTT - Week in Tech: Hot Maps and AI Judges

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<v Speaker 1>From Kaleidoscope and iHeart podcasts. This is tech stuff.

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<v Speaker 2>I'm as Valocian and I'm care Price.

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<v Speaker 1>Today we're going to get into why gen Z is

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<v Speaker 1>nostalgic for an Internet free world, a world they've never known.

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<v Speaker 1>An update to what's happening to TikTok in the US?

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<v Speaker 1>Then are you using chatbots to organize your closet or

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<v Speaker 1>write your wedding vows? We investigate how people are really

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<v Speaker 1>using chatbots?

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<v Speaker 3>This is the week in tech. It's Friday, July eleventh,

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<v Speaker 3>Hello Cara, Hi Ahs.

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<v Speaker 1>It's that time between July fourth and Labor Day, two

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<v Speaker 1>holidays that I had no conception of before I moved.

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<v Speaker 3>To the US, one of which you spell wrong.

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<v Speaker 1>How's that labo U are?

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<v Speaker 4>Oh?

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<v Speaker 1>Yeah, there's a U in the script. I'm sorry about that.

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<v Speaker 1>But it's a time known around the world as summer.

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<v Speaker 1>Although looking out of the window today at that dark,

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<v Speaker 1>gray sky, you wouldn't really know it.

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<v Speaker 3>You know, not to be ungrateful about living in the

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<v Speaker 3>greatest city on Earth, but New York has been disgustingly.

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<v Speaker 1>Hot, although I haven't been here, so I've been following

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<v Speaker 1>the weather and floating about. Having been out of town.

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<v Speaker 3>It's swamp. Like I wanted to bring up a story

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<v Speaker 3>that reminded me that being hot in New York City

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<v Speaker 3>is sometimes the most important thing you can be.

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<v Speaker 1>I have the sense you're not talking about the weather here.

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<v Speaker 3>No, I'm talking about a website called looks Mapping that

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<v Speaker 3>is like a digital heat map of which New York

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<v Speaker 3>City restaurants have the hottest patrons. So, I mean, I

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<v Speaker 3>might be dating myself here, but it's like Zagat for

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<v Speaker 3>people I thought. I'm not sure. Listeners, I urge you

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<v Speaker 3>to go to looks mapping dot com because for me

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<v Speaker 3>and I think, and for you, the interface is so

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<v Speaker 3>beta Geociti's early Internet that like, there's something sort of

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<v Speaker 3>comforting about it that I don't know, just the look

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<v Speaker 3>of it.

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<v Speaker 1>Do you think if the zay Gat or Zagat guide

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<v Speaker 1>was still around today, they would be it had food

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<v Speaker 1>value for money and Beyonce have a fourth pianto Hotness with.

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<v Speaker 3>A little chili emoji. Actually, I've avoided looking at the

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<v Speaker 3>map because I don't care about eating around hot.

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<v Speaker 1>People's wrong with you?

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<v Speaker 3>I'm not like, Oh, I go. I think other people

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<v Speaker 3>obviously are looking when they go to a restaurant to

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<v Speaker 3>find people to date. I'm looking to eat, which is

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<v Speaker 3>crazy that that is dating myself. I do, as I said,

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<v Speaker 3>want to look at this with you so that we

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<v Speaker 3>can laugh about it. So I'm going to pull up

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<v Speaker 3>your favorite restaurant.

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<v Speaker 1>Okay, well you know what. We both know what that is.

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<v Speaker 3>What is your favorite restaurant?

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<v Speaker 1>Well, you know very well because you live next door

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<v Speaker 1>and you often see me on my way there on

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<v Speaker 1>a Friday evening.

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<v Speaker 3>I'm typing it in right now.

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<v Speaker 1>Nikoboka Bar and Grill. In fact, one of the many

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<v Speaker 1>moments that have solidified our friendship was when you knew

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<v Speaker 1>I was celebrating my birthday there and you called in

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<v Speaker 1>a Cosmopolitan to me, delivered to my tables when they

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<v Speaker 1>went in town. Yeah. So, how does the Nickoboca Bar

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<v Speaker 1>and Grills?

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<v Speaker 3>Its not It's not found.

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<v Speaker 1>It's not found on looks mapping dot com. I can't

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<v Speaker 1>believe it.

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<v Speaker 3>It's not here.

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<v Speaker 1>Just for the listeners benefit. The Nikobocker Barren Grill is

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<v Speaker 1>an extremely dated sort of quasi steakhouse.

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<v Speaker 3>It's what I would call Fraser course, the.

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<v Speaker 1>Fraser course, thick carpet. Nobody else under sixty in there

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<v Speaker 1>apart from me and sometimes you so oddly enough, it's

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<v Speaker 1>not featured on Looks.

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<v Speaker 3>Shocking because they were like, no, they were like, this

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<v Speaker 3>will not appear.

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<v Speaker 1>What about my second favorite restaurant? Do you know what

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<v Speaker 1>that is?

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<v Speaker 3>Peaking duck housea house Midtown downtown one because you've you've

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<v Speaker 3>taken me to the downtown one.

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<v Speaker 1>True, reluctantly. I do actually like the downtown one. I

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<v Speaker 1>like the Midtown one, which also the downtown one doesn't

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<v Speaker 1>have a carpet. The Midtown one does.

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<v Speaker 3>That's disgusting discussing yep, oh oh, we have wait. I

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<v Speaker 3>just need to explain to people who are listening the

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<v Speaker 3>avatar that's standing on the compass on Looks mapping is

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<v Speaker 3>like a yassified like lip injected, hair flipped.

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<v Speaker 1>Guy's the website myself.

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<v Speaker 3>It's so good. He's like, you know, doing duck lips.

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<v Speaker 1>Oh, I see what.

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<v Speaker 3>I'm sorry to say. This is peaking duck house downtown.

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<v Speaker 3>They don't have no, it's too ugly. The score for

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<v Speaker 3>peaking duck House Chinese Downtown five points down.

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<v Speaker 1>By the way, peaking duck House Downtown is a lot

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<v Speaker 1>hotter than peaking duck House in Midtown negative.

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<v Speaker 2>It would have been a negative.

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<v Speaker 1>Literally okay, five points. Said, well, so how does this,

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<v Speaker 1>I mean, how does this work? How does how does

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<v Speaker 1>the looks mapping dot Com assign a hotness score to

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<v Speaker 1>by the way, not to all New York restaurants, but

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<v Speaker 1>to all New New York restaurants. Evidently that I don't.

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<v Speaker 3>Think that doesn't go to well. So here's what it

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<v Speaker 3>says on the website. Quote, I scraped millions and this

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<v Speaker 3>is the from the creator of the website. I scraped

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<v Speaker 3>millions of Google Maps restaurant reviews, and we gave each

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<v Speaker 3>reviewer's profile picture to an AI model that rates how

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<v Speaker 3>hot they are out of ten. Very smart. I mean

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<v Speaker 3>that an AI model like that exists. This map shows

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<v Speaker 3>how attractive each restaurant's clientele is, and the model is

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<v Speaker 3>certainly biased. It's certainly flawed. But we judge places, and

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<v Speaker 3>I'm still quoting the creator. We judge places by the

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<v Speaker 3>people who go there. We always have, and are we

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<v Speaker 3>not also flawed? This website just puts reductive numbers on

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<v Speaker 3>the superficial calculations we make every day, a mirror held

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<v Speaker 3>up to our collective vanity.

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<v Speaker 1>Quote, So this is you're telling me this website is

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<v Speaker 1>essentially a Balzakian commentary on New York Dining.

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<v Speaker 3>I mean the website itself does look like the website

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<v Speaker 3>of a philosophy department in a small local arts college.

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<v Speaker 3>So yes, I actually read about this in the New

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<v Speaker 3>York Times.

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<v Speaker 2>This Weekend Places.

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<v Speaker 3>And the guy who created it is this. He's barely

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<v Speaker 3>a man, He's a boy. He's twenty two. His name's

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<v Speaker 3>Riley Walls. He's a pro pro grammar and this actually

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<v Speaker 3>isn't his first prank.

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<v Speaker 1>You know.

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<v Speaker 3>A few years ago he created a fake restaurant with

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<v Speaker 3>a near perfect Google rating called Miron's Steakhouse. Cool, and

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<v Speaker 3>so a ton of people signed up to be on

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<v Speaker 3>the wait list to get into a fake restaurant. And

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<v Speaker 3>then actually it was so popular that they opened the

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<v Speaker 3>steakhouse for one night in twenty twenty three.

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<v Speaker 1>I absolutely love this type of story. There was another

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<v Speaker 1>guy who did it in London with a fake restaurant

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<v Speaker 1>called The Shed, and then he served people this disgusting food.

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<v Speaker 1>I think data poisoning to trick thirsty souls into going

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<v Speaker 1>to hype places is one of the true joys of

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<v Speaker 1>the Internet. This is bombed to my soul.

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<v Speaker 3>Yeah, and Waltz actually had an AI model scrape two

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<v Speaker 3>point eight million Google reviews from one point five million

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<v Speaker 3>unique accounts. The model identified five hundred and eighty seven

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<v Speaker 3>thousand profile images with distinguishable faces, and then Walls had

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<v Speaker 3>that model determined if the users were young or old,

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<v Speaker 3>male or female, and hot or not very binary, very binary.

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<v Speaker 1>How did the model define hot well?

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<v Speaker 3>Walls told The Times that the attractiveness score was quote

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<v Speaker 3>admittedly a bit yanky.

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<v Speaker 1>I mean that sounds like a bit of an understatement.

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<v Speaker 1>I do love the idea of sitting down to set

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<v Speaker 1>the parameters for an AI model about hot or not.

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<v Speaker 1>How did mister Wolves go about it?

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<v Speaker 3>So, yeah, he actually gave a few examples. If someone

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<v Speaker 3>was wearing a wedding dress in their profile image, it

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<v Speaker 3>meant they were hot because obviously someone wanted to sleep

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<v Speaker 3>with them. And if the photo was blurry, they were

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<v Speaker 3>not because obviously nobody wanted to take a good photo

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<v Speaker 3>of them.

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<v Speaker 2>So they're ugly.

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<v Speaker 1>I mean, these brahminters are not the ones. This is

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<v Speaker 1>not the sort of Leonardo da Vinci facial symmetry mode

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<v Speaker 1>of assessing beauty.

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<v Speaker 3>I guess no, it's like seemingly quite arbitrary. And he

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<v Speaker 3>actually unsurprisingly, did not build this for people who are

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<v Speaker 3>using it as a legitimate tool. He I think, like

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<v Speaker 3>I said, is making a social commentary on how diners

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<v Speaker 3>prioritize whether a restaurant is a scene over the food

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<v Speaker 3>and the atmosphere, And if you go on TikTok, a

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<v Speaker 3>lot of influencers actually talk about if there are hot

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<v Speaker 3>guys or rich guys, like the rich guy restaurant is

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<v Speaker 3>I think the most important thing.

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<v Speaker 1>It turns out that New York is not the only

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<v Speaker 1>city where the heat map exists. It's also available for

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<v Speaker 1>Los Angeles and San Francisco.

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<v Speaker 3>The only three places where there are hot people.

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<v Speaker 1>But I'm looking at the map right now, and it

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<v Speaker 1>seems like there's more blue meaning less hotness up in Harlem.

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<v Speaker 3>Twitter users did pick up on this quickly, and most

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<v Speaker 3>of the denser red pockets of the map were in

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<v Speaker 3>largely white, affluent neighborhoods in all three cities, Los Angeles,

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<v Speaker 3>San Francisco, and New York.

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<v Speaker 1>So, like most AI models, this one has a certain

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<v Speaker 1>amount of racial bias baked in.

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<v Speaker 3>Correct, which is unsurprising. You know, AI is trained on data,

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<v Speaker 3>so its answers reflect the biases of the humans who

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<v Speaker 3>created the data in the first place, and Walts actually

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<v Speaker 3>got criticized for this, but he responded that that is

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<v Speaker 3>part of the point. Again, he says looks mapping is

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<v Speaker 3>designed to make fun of AI and he also added

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<v Speaker 3>that one of the ugliest restaurants was actually a country club.

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<v Speaker 1>I like the sound that this Waltz character.

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<v Speaker 3>We should ask him to twenty two year old cheeky so.

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<v Speaker 1>I mentioned I was on vacation last week out of

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<v Speaker 1>the city. I was actually in Greece and every time

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<v Speaker 1>the sunset, a horde of tourists would run towards the

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<v Speaker 1>most instagrammable location with their cameras. I was actually fighting

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<v Speaker 1>for space on the courtyard in front of it of

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<v Speaker 1>a church to actually look at the sunset, and somebody

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<v Speaker 1>you take my photo. I said sure, I said, I'll

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<v Speaker 1>take your photo afterwards. And I said, oh, that's okay.

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<v Speaker 1>I just want to look at the sunset and my wife,

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<v Speaker 1>I said, you are so self righteous. Why do you

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<v Speaker 1>need to shame that poor man. The man was like,

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<v Speaker 1>I have nothing exactly, but it kind of raised this

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<v Speaker 1>interesting question about what were the photos designed to capture

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<v Speaker 1>the trip as in the past, or was the trip

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<v Speaker 1>designed to create an opportunity to take photographs and share

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<v Speaker 1>them on social media, and it was a bit like

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<v Speaker 1>everyone's in their own version of The Truman Show, where

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<v Speaker 1>they were both the actor, the producer and the director,

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<v Speaker 1>and it didn't look that fun.

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<v Speaker 3>I think the way we're living in the Truman Show

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<v Speaker 3>now is that we are all living in a world

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<v Speaker 3>that has really been predetermined by what we see on

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<v Speaker 3>social media. So I think looks Mapping was probably trying

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<v Speaker 3>to shine a light on this particular fact, which is

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<v Speaker 3>that we're going to places right now with expectations that

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<v Speaker 3>have been pre constructed on the Internet. And it's because,

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<v Speaker 3>to steal a line from the French philosopher Louis Altuse,

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<v Speaker 3>we are always already aware of what we're getting, which

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<v Speaker 3>is sort of sad, you know.

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<v Speaker 1>Yeah, I think it's so. My stepfather, Ricardo, owns a

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<v Speaker 1>restaurant in London called Ricardo's. Shout Out head there and

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<v Speaker 1>also congratulations, happy birthday, thirtieth anniversary.

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<v Speaker 5>Wow, happy anniversary, Ricardo anniversary, and Riccardo's is a great

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<v Speaker 5>restaurant is not built around social media moments, so I

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<v Speaker 5>was encouraging Ricardo to look at a brand refresh where

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<v Speaker 5>he really leaned into being one of the oldest continually

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<v Speaker 5>operated family owned Italian restaurants in London.

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<v Speaker 1>He was like, no, I'm good, but it is I mean,

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<v Speaker 1>this whole thing you're talking about, where real life becomes

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<v Speaker 1>optimized for social media moments rather than social media capturing

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<v Speaker 1>real life is it's a little disturbing.

0:11:26.400 --> 0:11:30.160
<v Speaker 3>I think, as elder millennials, which we are, we grew

0:11:30.240 --> 0:11:34.520
<v Speaker 3>up before the I share. Therefore, I am to quote

0:11:34.520 --> 0:11:37.520
<v Speaker 3>Sherry turkle era began. We live in it, but we

0:11:38.040 --> 0:11:41.240
<v Speaker 3>had life before it, and I think the pressures of

0:11:41.280 --> 0:11:43.599
<v Speaker 3>a life lived online are much harder on gen Z.

0:11:44.760 --> 0:11:47.600
<v Speaker 3>I actually found a survey that backs this up. So

0:11:48.559 --> 0:11:53.559
<v Speaker 3>I'm sure you know about the BSI, the British Standards Institution.

0:11:53.280 --> 0:11:56.080
<v Speaker 1>Of course. Yeah, actually I just read my membership.

0:11:56.679 --> 0:12:01.040
<v Speaker 3>Well to consulting from was president work there after. They've

0:12:01.080 --> 0:12:04.959
<v Speaker 3>actually asked thirteen hundred young Brits ages sixteen to twenty

0:12:04.960 --> 0:12:07.520
<v Speaker 3>one whether they would prefer to be young in a

0:12:07.520 --> 0:12:12.680
<v Speaker 3>world without the Internet. Forty seven percent of them responded yes.

0:12:13.320 --> 0:12:16.240
<v Speaker 1>That is a classic case of better the devil you

0:12:16.280 --> 0:12:18.400
<v Speaker 1>don't know in this case, right, because none of these

0:12:18.520 --> 0:12:20.640
<v Speaker 1>youths have ever lived with on the Internet.

0:12:21.200 --> 0:12:23.600
<v Speaker 3>I think there's something kind of sexy to people about

0:12:23.640 --> 0:12:27.560
<v Speaker 3>a time they didn't live, you know, like I'm very

0:12:27.559 --> 0:12:31.760
<v Speaker 3>interested in taking a horse across the country. And I

0:12:31.760 --> 0:12:34.600
<v Speaker 3>think the most interesting thing about this survey is that

0:12:34.679 --> 0:12:37.920
<v Speaker 3>fifty percent of all of those surveyed said that a

0:12:37.960 --> 0:12:40.520
<v Speaker 3>social media curfew would improve their lives.

0:12:40.600 --> 0:12:42.559
<v Speaker 1>What do you mean by social media curfew?

0:12:42.600 --> 0:12:46.199
<v Speaker 3>So actually the UK, which has a technology secretary, has

0:12:46.360 --> 0:12:50.880
<v Speaker 3>hinted that the government is considering I love this mandatory

0:12:50.920 --> 0:12:53.800
<v Speaker 3>cutoff times for certain apps like TikTok and Instagram for

0:12:53.920 --> 0:12:55.040
<v Speaker 3>children under a certain age.

0:12:55.040 --> 0:12:58.440
<v Speaker 1>It is like during the Blitz when everyone just like

0:12:59.320 --> 0:13:02.760
<v Speaker 1>it's just like the well funny enough. On my trip,

0:13:02.800 --> 0:13:06.040
<v Speaker 1>which I'm sorry to keep posting about, I gave myself

0:13:06.120 --> 0:13:08.199
<v Speaker 1>a week long blackout or curse.

0:13:08.320 --> 0:13:08.800
<v Speaker 3>It was weird.

0:13:09.080 --> 0:13:12.000
<v Speaker 1>Yeah, So I removed Gmail and Slack from my phone

0:13:12.400 --> 0:13:14.720
<v Speaker 1>so that I wouldn't be tempted to glance at work

0:13:14.720 --> 0:13:17.840
<v Speaker 1>stuff and stretch myself out. I kept text, obviously, and

0:13:17.880 --> 0:13:20.240
<v Speaker 1>you and I texted a fair amount about text stuff,

0:13:20.559 --> 0:13:23.440
<v Speaker 1>but other than that, I was offline. I can't tell

0:13:23.520 --> 0:13:26.400
<v Speaker 1>you how good it felt to be not looking at

0:13:26.520 --> 0:13:29.600
<v Speaker 1>Slack and work Gmail for a week. And how bad

0:13:29.640 --> 0:13:31.319
<v Speaker 1>it felt to start again on Monday.

0:13:32.000 --> 0:13:35.599
<v Speaker 3>You know, as you and maybe our audience have recognized,

0:13:35.640 --> 0:13:38.240
<v Speaker 3>you've done it so gracefully. I have been in and

0:13:38.240 --> 0:13:41.040
<v Speaker 3>out of the show this year, and some of the

0:13:41.080 --> 0:13:42.839
<v Speaker 3>reason that I've been taking off is on account of

0:13:42.880 --> 0:13:47.440
<v Speaker 3>some personal mental health struggles, and as such, I was

0:13:47.440 --> 0:13:50.120
<v Speaker 3>actually forced into a bit of a curfew myself. It

0:13:50.160 --> 0:13:53.640
<v Speaker 3>was more a sensory deprivation tech but there were some

0:13:53.720 --> 0:13:55.880
<v Speaker 3>days where I actually only had my phone for one

0:13:55.960 --> 0:13:59.280
<v Speaker 3>hour a day. And the thing that it made me

0:13:59.360 --> 0:14:03.600
<v Speaker 3>realize is that the iPhone is a rapacious creditor.

0:14:04.040 --> 0:14:04.680
<v Speaker 1>What does that mean.

0:14:04.920 --> 0:14:10.160
<v Speaker 3>It means that the more you use it, the more

0:14:10.200 --> 0:14:16.040
<v Speaker 3>you need to use it. And yeah, it is like sugar.

0:14:16.400 --> 0:14:19.120
<v Speaker 3>It is like cigarettes, where it's like we like to

0:14:19.640 --> 0:14:26.640
<v Speaker 3>brag when we have abstained. And my family actually refers

0:14:26.680 --> 0:14:29.200
<v Speaker 3>to my cell phone addiction as a legitimate addiction. And

0:14:29.240 --> 0:14:30.360
<v Speaker 3>I've been intervened on.

0:14:30.640 --> 0:14:33.520
<v Speaker 1>What was your experience then, of having twenty three hours

0:14:33.520 --> 0:14:34.040
<v Speaker 1>a day off.

0:14:34.320 --> 0:14:37.280
<v Speaker 3>I was so jacked up. I was so high from

0:14:37.360 --> 0:14:39.600
<v Speaker 3>using my phone for that one hour that like I

0:14:39.640 --> 0:14:43.000
<v Speaker 3>would give the phone back and I felt like my

0:14:43.120 --> 0:14:46.320
<v Speaker 3>brain was on fire. And I think when you have

0:14:46.400 --> 0:14:49.200
<v Speaker 3>access to a phone all day long. It sort of

0:14:49.200 --> 0:14:51.600
<v Speaker 3>spreads itself out. You don't feel like you're at a

0:14:51.640 --> 0:14:54.000
<v Speaker 3>loss because you don't have it, but when you don't

0:14:54.040 --> 0:14:56.320
<v Speaker 3>have it, and then it's something you get, you realize

0:14:56.400 --> 0:14:58.080
<v Speaker 3>how jacked up this thing makes you.

0:14:58.720 --> 0:15:01.240
<v Speaker 1>It was interesting turning my feat own back on Monday

0:15:01.280 --> 0:15:05.040
<v Speaker 1>morning and reinstalling Gmail and Slack. I literally reinstalled them

0:15:05.400 --> 0:15:07.800
<v Speaker 1>and four hours went by when I didn't look up

0:15:07.800 --> 0:15:10.920
<v Speaker 1>from my phone. But I felt so broken by the

0:15:11.040 --> 0:15:11.360
<v Speaker 1>end of that.

0:15:11.520 --> 0:15:13.920
<v Speaker 3>Yeah, coming back to the survey, the thing that really

0:15:13.960 --> 0:15:17.280
<v Speaker 3>stood out to me was actually how often young people,

0:15:17.920 --> 0:15:21.720
<v Speaker 3>especially young women, are comparing their appearance or lifestyle to others.

0:15:22.280 --> 0:15:25.560
<v Speaker 3>In the survey, eighty five percent of female respondents said

0:15:25.600 --> 0:15:29.280
<v Speaker 3>they do this at least sometimes, and nearly half of

0:15:29.360 --> 0:15:32.400
<v Speaker 3>young women are doing this often or very often.

0:15:32.560 --> 0:15:36.000
<v Speaker 1>Yeah, but this idea of comparing yourself and your appearance

0:15:36.000 --> 0:15:38.320
<v Speaker 1>and your lifestyle to others, this is what the social

0:15:38.320 --> 0:15:40.320
<v Speaker 1>commentary of looks mapping is all about.

0:15:40.720 --> 0:15:44.600
<v Speaker 3>That's very true. I actually originally found these survey results

0:15:44.680 --> 0:15:47.760
<v Speaker 3>buried in an opinion piece from the Guardian. The author

0:15:48.000 --> 0:15:51.000
<v Speaker 3>is about Brooks is a bit older than the people

0:15:51.000 --> 0:15:53.960
<v Speaker 3>who are surveyed she's twenty six, but she admits to

0:15:54.000 --> 0:15:56.960
<v Speaker 3>being entranced by an old video that went viral recently

0:15:57.480 --> 0:16:02.720
<v Speaker 3>of Wesleyan alumni the band MGMT, performing for their peers

0:16:02.720 --> 0:16:03.720
<v Speaker 3>at Wesleyan University.

0:16:03.760 --> 0:16:09.080
<v Speaker 1>I remember seeing MGMT performing extremely reluctantly at a concert,

0:16:09.120 --> 0:16:12.160
<v Speaker 1>that graduating concert at Yale, and they just look so

0:16:12.280 --> 0:16:13.280
<v Speaker 1>bummed out to be there.

0:16:13.480 --> 0:16:17.880
<v Speaker 3>They were like, we miss Wesley And yeah, and it's

0:16:17.920 --> 0:16:20.240
<v Speaker 3>not the music that she's drawn to, it's the crowd.

0:16:21.040 --> 0:16:24.880
<v Speaker 3>She observes the quote, no one is dressed that well, judgy.

0:16:25.040 --> 0:16:29.680
<v Speaker 3>The cam resumes unsteadily to capture the crowd's awkwardness, slump

0:16:29.760 --> 0:16:34.280
<v Speaker 3>shoulders and a rhythmic bopping. Beyond the footage we're watching,

0:16:34.960 --> 0:16:37.000
<v Speaker 3>no one seems to be filming.

0:16:37.480 --> 0:16:38.160
<v Speaker 1>That's interesting.

0:16:38.360 --> 0:16:40.400
<v Speaker 3>Yeah, and that part was key for her. No one

0:16:40.440 --> 0:16:44.720
<v Speaker 3>in the video is on their phone or filming the experience, except,

0:16:44.760 --> 0:16:46.480
<v Speaker 3>of course, like the person who captured the video. But

0:16:47.240 --> 0:16:50.280
<v Speaker 3>Isabelle goes on to say, quote, I was only four

0:16:50.400 --> 0:16:53.760
<v Speaker 3>when the video was filmed, So why does watching it

0:16:53.800 --> 0:16:57.360
<v Speaker 3>make me feel as if I've lost a whole world? So,

0:16:57.720 --> 0:17:00.960
<v Speaker 3>you know, she feels like she's missed out on this

0:17:01.200 --> 0:17:05.840
<v Speaker 3>pre social Internet where people were more authentic and unique.

0:17:05.960 --> 0:17:09.879
<v Speaker 3>And I think, you know, I was in college before

0:17:09.920 --> 0:17:11.760
<v Speaker 3>you would film something on a foot, We would take

0:17:11.760 --> 0:17:15.280
<v Speaker 3>photos on our BlackBerry maybe, or you would take camera pictures.

0:17:15.320 --> 0:17:17.080
<v Speaker 3>And now there are some concerts that I've actually been

0:17:17.119 --> 0:17:20.119
<v Speaker 3>to where the artists will say, don't take out your

0:17:20.160 --> 0:17:22.080
<v Speaker 3>phone for this, you know, just everybody puts your phone

0:17:22.080 --> 0:17:26.000
<v Speaker 3>down and watch. The saddest part about it for me,

0:17:26.440 --> 0:17:32.080
<v Speaker 3>and this I actually feel guilty of, is how difficult

0:17:32.119 --> 0:17:33.720
<v Speaker 3>it is for people to just.

0:17:33.880 --> 0:17:37.320
<v Speaker 1>Be well, it's not just us. You mentioned the UK

0:17:37.440 --> 0:17:41.800
<v Speaker 1>government is looking at this TikTok curfew, and I'm very

0:17:41.840 --> 0:17:46.960
<v Speaker 1>interested to know whether regulation government regulation will address the

0:17:46.960 --> 0:17:50.679
<v Speaker 1>harms of social media before the next generation become teenagers.

0:17:50.920 --> 0:17:52.359
<v Speaker 1>And I do wonder if we'll look back on this

0:17:52.400 --> 0:17:54.480
<v Speaker 1>time that we're living through now as kind of the

0:17:54.520 --> 0:17:59.119
<v Speaker 1>time where doctors were prescribing cigarettes to people with a cough,

0:17:59.240 --> 0:18:02.000
<v Speaker 1>and whether we'll be like, it was so crazy that

0:18:02.040 --> 0:18:04.800
<v Speaker 1>we allowed a whole generation to have their minds ruined

0:18:04.800 --> 0:18:08.800
<v Speaker 1>by trillion dollar corporations. Who knows, But the policy thing

0:18:08.840 --> 0:18:11.720
<v Speaker 1>I'm interested in here in the US, a TikTok ban

0:18:11.800 --> 0:18:14.640
<v Speaker 1>has been mooted, not because of children's health, of course,

0:18:14.680 --> 0:18:18.359
<v Speaker 1>but because of geopology China, China exactly so. In April

0:18:18.440 --> 0:18:21.680
<v Speaker 1>last year, President Biden signed a bill requiring that TikTok

0:18:21.760 --> 0:18:24.360
<v Speaker 1>be sold to a US buyer or be shut down.

0:18:24.880 --> 0:18:27.480
<v Speaker 1>The ban very briefly took effect the day before President

0:18:27.480 --> 0:18:30.640
<v Speaker 1>Trump was inaugurated in January. I'll never forget TikTok only

0:18:30.680 --> 0:18:34.600
<v Speaker 1>went dark for a single evening because upon taking office,

0:18:34.760 --> 0:18:37.720
<v Speaker 1>Trump immediately signed an executive order for a so called

0:18:38.119 --> 0:18:41.840
<v Speaker 1>enforcement delay, and has signed two more of these since then.

0:18:42.080 --> 0:18:44.320
<v Speaker 1>So the deadline keeps getting pushed back because the Trump

0:18:44.359 --> 0:18:47.280
<v Speaker 1>administration is working on a deal for a consortium of

0:18:47.359 --> 0:18:52.120
<v Speaker 1>non Chinese investors to take over TikTok's US operations. Details

0:18:52.119 --> 0:18:55.600
<v Speaker 1>about the deal remain unannounced, but the information broke some

0:18:55.720 --> 0:18:58.080
<v Speaker 1>news this week that makes the future of TikTok in

0:18:58.160 --> 0:19:01.760
<v Speaker 1>America appear secure. Apparently, there's a new version of the

0:19:01.840 --> 0:19:06.160
<v Speaker 1>app being built specifically for US users. The US only

0:19:06.200 --> 0:19:09.080
<v Speaker 1>TikTok app is set to launch on September fifth, and

0:19:09.240 --> 0:19:12.600
<v Speaker 1>US residents will have apparently until March twenty twenty six

0:19:12.920 --> 0:19:15.520
<v Speaker 1>to download it and get off the old app. There

0:19:15.600 --> 0:19:18.640
<v Speaker 1>is one wrinkle, which is that the Chinese government will

0:19:18.640 --> 0:19:21.399
<v Speaker 1>also have to approve of this structure, and apparently a

0:19:21.440 --> 0:19:24.840
<v Speaker 1>deal was actually close and then the tariff announcements earlier

0:19:24.840 --> 0:19:26.960
<v Speaker 1>this year derailed it. You know that I have this

0:19:27.040 --> 0:19:30.119
<v Speaker 1>kind of geopolitics bent. So while we're at it, there

0:19:30.160 --> 0:19:32.439
<v Speaker 1>was another story this week. It was in four or

0:19:32.440 --> 0:19:38.879
<v Speaker 1>four media that brought together diplomacy, cryptocurrency, personal appearance, and

0:19:38.920 --> 0:19:43.639
<v Speaker 1>the internet making collective decisions. Ala looks mapping. Tell me

0:19:44.520 --> 0:19:45.680
<v Speaker 1>have you heard of polymarket?

0:19:46.720 --> 0:19:49.120
<v Speaker 3>I mean it does sound like a dating app for polyamory.

0:19:49.880 --> 0:19:53.960
<v Speaker 1>Poly Market is not a dating market for the polyamorous.

0:19:54.200 --> 0:19:58.119
<v Speaker 1>It is a sort of online betting marketplace where you

0:19:58.160 --> 0:20:01.360
<v Speaker 1>can basically lay down a wager on almost anything other

0:20:01.440 --> 0:20:03.760
<v Speaker 1>users can come up with. You basically bet on yes

0:20:03.840 --> 0:20:07.840
<v Speaker 1>no issues using crypto against other users rather than against

0:20:07.880 --> 0:20:11.959
<v Speaker 1>a bookmaker, and then this decentralized system facilitates the payouts.

0:20:12.280 --> 0:20:14.919
<v Speaker 1>It got very big during the election last year and

0:20:15.000 --> 0:20:17.520
<v Speaker 1>right now on the site, some of the bets going

0:20:17.600 --> 0:20:21.040
<v Speaker 1>run the gamut from Wimbledon results to will a hurricane

0:20:21.040 --> 0:20:24.040
<v Speaker 1>make landfall in the US before August? But a bet

0:20:24.080 --> 0:20:27.040
<v Speaker 1>that's really blown up and has over two hundred million

0:20:27.119 --> 0:20:31.199
<v Speaker 1>dollars in crypto riding on it is will Ukrainian President

0:20:31.320 --> 0:20:35.560
<v Speaker 1>Zelenski wear a suit? Before July? Zelenski said he would

0:20:35.600 --> 0:20:39.359
<v Speaker 1>not wear a suit until Russia's war in Ukraine ended,

0:20:39.800 --> 0:20:42.840
<v Speaker 1>and so he pretty much always wears these military style fatigues,

0:20:43.240 --> 0:20:44.720
<v Speaker 1>and he says that he does so to remind the

0:20:44.760 --> 0:20:48.399
<v Speaker 1>world that Ukraine is still in the midst of a war. So,

0:20:48.880 --> 0:20:52.680
<v Speaker 1>of course, the users of polymarket turns Zelenski's dress into

0:20:52.720 --> 0:20:54.720
<v Speaker 1>a wager. I don't know if this was a proxy

0:20:54.720 --> 0:20:57.120
<v Speaker 1>wager for whether or not the war in Ukraine would end,

0:20:57.320 --> 0:21:01.720
<v Speaker 1>or a wager on how committed to his principles Zelensky is.

0:21:01.760 --> 0:21:04.280
<v Speaker 1>But here's what happened. The bet went live in May,

0:21:04.520 --> 0:21:07.520
<v Speaker 1>and then towards the end of June, Selensky showed up

0:21:07.520 --> 0:21:09.600
<v Speaker 1>at a NATO summit wearing something.

0:21:09.600 --> 0:21:14.280
<v Speaker 3>I'm going to show you now, Oh, looking hot.

0:21:14.440 --> 0:21:15.119
<v Speaker 1>What's he wearing?

0:21:15.480 --> 0:21:18.879
<v Speaker 3>He's wearing He's dressed in all black. He's sort of

0:21:18.960 --> 0:21:24.720
<v Speaker 3>dressed like a caterwaiter, all black. He's wearing a suit

0:21:24.960 --> 0:21:25.720
<v Speaker 3>and a black shirt.

0:21:25.760 --> 0:21:29.720
<v Speaker 1>I think it's a suit. Yeah, Well, you've waded into

0:21:29.760 --> 0:21:36.280
<v Speaker 1>a huge controversy. Polymarket right now has been roiled by

0:21:36.320 --> 0:21:38.960
<v Speaker 1>whether or not this is a suit now, to be fair,

0:21:39.560 --> 0:21:44.160
<v Speaker 1>he's sort of wearing you know, cargo style pants. He's

0:21:44.200 --> 0:21:46.920
<v Speaker 1>not wearing dress shoes, he's not wearing a shirt and tie.

0:21:46.960 --> 0:21:52.119
<v Speaker 1>He's wearing a kind of little mini pose and the

0:21:52.320 --> 0:21:55.199
<v Speaker 1>jacket has four pockets on it which kind of have

0:21:55.240 --> 0:21:58.399
<v Speaker 1>these over the top flaps. So you could argue that

0:21:58.400 --> 0:22:01.800
<v Speaker 1>it's more of a kind of form military fatigue for

0:22:01.920 --> 0:22:03.639
<v Speaker 1>nighttime operations than.

0:22:03.960 --> 0:22:05.640
<v Speaker 3>Pure suit black time fatigue.

0:22:05.920 --> 0:22:09.280
<v Speaker 1>And this is this is Royling Polymarket right now. There

0:22:09.280 --> 0:22:11.520
<v Speaker 1>are hundreds of millions of dollars at stake on whether

0:22:11.600 --> 0:22:13.000
<v Speaker 1>or not this is a suit.

0:22:13.160 --> 0:22:15.160
<v Speaker 3>Literally one hundreds of one hundred million dollars has.

0:22:15.119 --> 0:22:17.399
<v Speaker 1>Been bet and so there's now this formal dispute on

0:22:17.520 --> 0:22:22.000
<v Speaker 1>Polymarket and that triggered an internal review because it wasn't

0:22:22.040 --> 0:22:24.400
<v Speaker 1>clear if this was a yes no suit or no suit,

0:22:24.840 --> 0:22:28.640
<v Speaker 1>and therefore the site's so called oracles were called in.

0:22:29.040 --> 0:22:32.040
<v Speaker 1>The oracles get to debate facts and can't with a verdict,

0:22:32.240 --> 0:22:36.760
<v Speaker 1>and after deliberating live on discord, the oracles determined that

0:22:36.840 --> 0:22:41.200
<v Speaker 1>this was not a suit. However, there was some accusations

0:22:41.200 --> 0:22:46.520
<v Speaker 1>of the oracles were also betters, and so poly Market

0:22:46.560 --> 0:22:49.480
<v Speaker 1>took the dispute back a second time, and on Tuesday

0:22:49.520 --> 0:22:51.800
<v Speaker 1>this week they announced their final verdict.

0:22:53.440 --> 0:22:54.639
<v Speaker 3>And what was the final verdict?

0:22:54.840 --> 0:22:58.639
<v Speaker 1>No suit. Yeah, you'll be out of pocket.

0:22:58.840 --> 0:22:59.920
<v Speaker 3>I would be very out of.

0:23:00.520 --> 0:23:03.160
<v Speaker 1>What's interesting to me about this story beyond the fact

0:23:03.200 --> 0:23:06.560
<v Speaker 1>that it's about crypto and how the Internet makes collective

0:23:06.600 --> 0:23:11.600
<v Speaker 1>decisions with this quote from Polymarket's founder Shane Coplin, and

0:23:11.640 --> 0:23:14.000
<v Speaker 1>he basically said, these bets are about more than making

0:23:14.040 --> 0:23:17.919
<v Speaker 1>a quick buck. He called polymarket quote the future of

0:23:18.000 --> 0:23:21.000
<v Speaker 1>news and said that the next information age is also

0:23:21.000 --> 0:23:24.760
<v Speaker 1>a quote. Won't be driven by the twentieth centuries medium monoliths.

0:23:25.080 --> 0:23:26.320
<v Speaker 1>It will be driven by markets.

0:23:26.720 --> 0:23:29.720
<v Speaker 3>To be fair, the story of recent election cycles has

0:23:29.800 --> 0:23:33.439
<v Speaker 3>been that the betting markets are more accurate than the polls,

0:23:33.440 --> 0:23:36.159
<v Speaker 3>which is crazy. And I'm pulling up what is it,

0:23:36.240 --> 0:23:37.560
<v Speaker 3>polymarket dot com?

0:23:37.600 --> 0:23:38.639
<v Speaker 1>Polymarket dot com.

0:23:38.760 --> 0:23:41.080
<v Speaker 3>Number one is the New York City mayoral election, which

0:23:41.119 --> 0:23:44.439
<v Speaker 3>is interesting. There's three million dollars on the FED decision.

0:23:44.480 --> 0:23:47.480
<v Speaker 3>I guess what. Oh. The way that this is played

0:23:47.520 --> 0:23:51.359
<v Speaker 3>out on poly market is that the first thing is

0:23:51.359 --> 0:23:54.960
<v Speaker 3>the highest bet what has the largest wage volume? Yeah yeah, yeah,

0:23:55.040 --> 0:23:57.040
<v Speaker 3>yeah yeah. And that's the New York City mayoral election,

0:23:57.080 --> 0:23:58.080
<v Speaker 3>which is really interesting.

0:23:58.280 --> 0:24:01.359
<v Speaker 1>There's also stuff here about whether the Trump Epstein files

0:24:01.359 --> 0:24:04.440
<v Speaker 1>will get released in twenty twenty five, which surprisingly only

0:24:04.480 --> 0:24:05.600
<v Speaker 1>thirteen percent.

0:24:05.600 --> 0:24:08.480
<v Speaker 3>Voting Trump scales that there are no files.

0:24:08.560 --> 0:24:11.480
<v Speaker 1>Yeah, there are no files. So you know, this kind

0:24:11.520 --> 0:24:15.240
<v Speaker 1>of allows you to be an active participant in consuming

0:24:15.280 --> 0:24:17.399
<v Speaker 1>the news in fact, because you're betting on the news

0:24:17.680 --> 0:24:20.359
<v Speaker 1>at all times, which is pretty interesting. We're going to

0:24:20.359 --> 0:24:22.560
<v Speaker 1>take a quick break now, but when we come back,

0:24:23.240 --> 0:24:26.560
<v Speaker 1>a key question, are you the only human in the

0:24:26.640 --> 0:24:44.240
<v Speaker 1>zoom meeting? Stay with us, Welcome back. We've got a

0:24:44.240 --> 0:24:46.840
<v Speaker 1>few more stories that have caught our eye to share,

0:24:47.440 --> 0:24:50.320
<v Speaker 1>and then we'll be starting something new through the summer

0:24:50.520 --> 0:24:52.639
<v Speaker 1>in place of the tech support interviews.

0:24:53.119 --> 0:24:56.479
<v Speaker 3>It's a new segment called drum Roll. No, it's not

0:24:56.480 --> 0:24:58.919
<v Speaker 3>called drum Roll. It's called Chat and.

0:24:58.800 --> 0:25:00.959
<v Speaker 1>Me Chat and me stick around, don't miss it.

0:25:01.320 --> 0:25:03.760
<v Speaker 3>In the meantime, I have an observation which is that

0:25:04.040 --> 0:25:08.720
<v Speaker 3>you spend most of your days in meetings in zoom calls,

0:25:09.040 --> 0:25:12.879
<v Speaker 3>and those meetings and zoom calls perhaps could be just

0:25:12.920 --> 0:25:16.920
<v Speaker 3>a Slack message or an email or even a text message.

0:25:16.880 --> 0:25:20.720
<v Speaker 1>My therapist, my executive coach, my best friend, my wife,

0:25:21.080 --> 0:25:21.800
<v Speaker 1>or just my co.

0:25:21.760 --> 0:25:23.800
<v Speaker 3>Host no, that's what it actually a chatbot can be.

0:25:24.840 --> 0:25:27.560
<v Speaker 1>Yes. I mean, of course, remember during the pandemic, it

0:25:27.640 --> 0:25:29.840
<v Speaker 1>was like, oh great, zoom calls, we can work from anywhere.

0:25:30.160 --> 0:25:31.720
<v Speaker 1>And now it's like a bit like cell phone and say,

0:25:31.720 --> 0:25:33.480
<v Speaker 1>oh great, I can always be in contexts like gosh,

0:25:33.520 --> 0:25:35.800
<v Speaker 1>now I have to do zoom calls just all the time.

0:25:36.000 --> 0:25:39.320
<v Speaker 1>And it went from this feeling liberation to feeling like

0:25:39.400 --> 0:25:40.840
<v Speaker 1>kind of a digital jail cell.

0:25:41.200 --> 0:25:43.800
<v Speaker 3>I think many people feel that way. But now people

0:25:43.880 --> 0:25:46.560
<v Speaker 3>are starting to think, what if I can skip all

0:25:46.560 --> 0:25:49.400
<v Speaker 3>those zoom meetings and still get all the relevant information,

0:25:49.600 --> 0:25:52.280
<v Speaker 3>say more that I need. So the Washington Post actually

0:25:52.320 --> 0:25:55.440
<v Speaker 3>wrote about the increased presence of AI note takers in meetings,

0:25:55.480 --> 0:25:57.520
<v Speaker 3>like oh I can't come to this meeting, I'll send

0:25:57.520 --> 0:26:00.000
<v Speaker 3>my AI note taker. And they even talk to PEP

0:26:00.000 --> 0:26:04.040
<v Speaker 3>people who have been in meetings where robots or AI

0:26:04.160 --> 0:26:05.920
<v Speaker 3>note takers have outnumbered humans.

0:26:06.000 --> 0:26:07.840
<v Speaker 1>You know, I always get a little bit annoyed when

0:26:07.880 --> 0:26:10.960
<v Speaker 1>there's an AI note taker in the room and no

0:26:11.000 --> 0:26:13.560
<v Speaker 1>one's asked my consent, like this is you know, I

0:26:13.560 --> 0:26:16.080
<v Speaker 1>think it would be a courtesy to say, do you

0:26:16.119 --> 0:26:19.080
<v Speaker 1>mind if I transcribe everything you say and keep it forever.

0:26:19.320 --> 0:26:21.160
<v Speaker 1>It's this thing about using an Internet where you're kind

0:26:21.160 --> 0:26:25.280
<v Speaker 1>of creating this constant chain of data that follows you

0:26:25.320 --> 0:26:28.120
<v Speaker 1>around forever. And I don't really want everything I've ever

0:26:28.160 --> 0:26:31.359
<v Speaker 1>said in a Zoom call to be permanently memorialized and

0:26:31.359 --> 0:26:34.480
<v Speaker 1>then owned by god knows who, but it's becoming the standard.

0:26:34.520 --> 0:26:38.120
<v Speaker 1>I mean, Zoom, Microsoft, Teams, Google meet they all offer

0:26:38.160 --> 0:26:41.120
<v Speaker 1>these note taking features that can record, transcribe, and use

0:26:41.160 --> 0:26:45.080
<v Speaker 1>AI to summarize meetings. That said, I haven't yet encountered

0:26:45.160 --> 0:26:48.480
<v Speaker 1>somebody who has the goal and the cheek to send

0:26:48.520 --> 0:26:51.840
<v Speaker 1>an AI NoteTaker to a meeting in their place to

0:26:52.240 --> 0:26:54.320
<v Speaker 1>excuse them from going to the meeting. That would really

0:26:54.359 --> 0:26:55.000
<v Speaker 1>drive me crazy.

0:26:55.080 --> 0:26:57.240
<v Speaker 3>Well, get ready for my new digital twin.

0:26:57.680 --> 0:27:00.760
<v Speaker 2>Sarah right, Sarah Rice always on time?

0:27:01.240 --> 0:27:03.480
<v Speaker 3>Oh my god, she's prompt. That would be a good

0:27:03.640 --> 0:27:05.960
<v Speaker 3>that for me would be important. But yeah, in addition

0:27:06.200 --> 0:27:09.760
<v Speaker 3>to the big players no, Google and Microsoft and Zoom,

0:27:10.000 --> 0:27:15.280
<v Speaker 3>there's actually smaller companies like Otter, Ai and Granola of

0:27:15.320 --> 0:27:20.600
<v Speaker 3>these names that transcribe calls like across platforms. So even

0:27:20.640 --> 0:27:23.560
<v Speaker 3>if you decide to actually log onto the meeting, you

0:27:23.560 --> 0:27:26.199
<v Speaker 3>can ask your bot to take notes for you and

0:27:27.040 --> 0:27:30.120
<v Speaker 3>it is a great tool for multitasking or zoning out.

0:27:30.520 --> 0:27:33.520
<v Speaker 3>Of course, the downside is that technology is recording more

0:27:33.560 --> 0:27:36.399
<v Speaker 3>and more of our daily lives and echoing what you said.

0:27:37.160 --> 0:27:40.120
<v Speaker 3>One AI exac and the Washington Post piece said, We're

0:27:40.160 --> 0:27:43.160
<v Speaker 3>moving into a world where nothing will be forgotten.

0:27:43.640 --> 0:27:46.520
<v Speaker 2>It is Wimbledon this week, it is, and so such

0:27:46.520 --> 0:27:47.560
<v Speaker 2>a beautiful match.

0:27:47.720 --> 0:27:51.639
<v Speaker 1>All of this grousing aside, Having an AI avatar in

0:27:51.680 --> 0:27:53.560
<v Speaker 1>my Zoom calls so that I could watch tennis all

0:27:53.680 --> 0:27:55.560
<v Speaker 1>day would be my dream come true.

0:27:55.720 --> 0:27:58.640
<v Speaker 3>The thing about you, you would never trust an AI.

0:28:00.920 --> 0:28:03.200
<v Speaker 3>You would micromanage the AI. Yeah, I feel like I quit.

0:28:05.040 --> 0:28:07.520
<v Speaker 1>There's a bit of discrepancy. A minute fourteen.

0:28:09.119 --> 0:28:10.840
<v Speaker 3>I was watching. That's not what happened. But I know

0:28:10.880 --> 0:28:12.560
<v Speaker 3>you love your tennis, so do you? I do.

0:28:12.600 --> 0:28:15.000
<v Speaker 1>I love tennis, And you won't be surprised to know

0:28:15.119 --> 0:28:17.720
<v Speaker 1>that this was not a casual reference to my favorite sport.

0:28:18.119 --> 0:28:19.800
<v Speaker 1>There is a tech angle here. Do you know what

0:28:19.800 --> 0:28:20.120
<v Speaker 1>it is?

0:28:20.359 --> 0:28:24.239
<v Speaker 3>Yeah? What fully? Replacing line judges with AI and cares right.

0:28:24.960 --> 0:28:29.000
<v Speaker 3>And the reason I hate this is because it just

0:28:29.800 --> 0:28:32.720
<v Speaker 3>isn't fun to watch players verbally abuse AI.

0:28:33.160 --> 0:28:36.000
<v Speaker 1>It is quite fun to watch players shrugging their shoulders

0:28:36.040 --> 0:28:38.000
<v Speaker 1>and running around looking for someone to yell at.

0:28:38.000 --> 0:28:38.160
<v Speaker 5>Though.

0:28:38.240 --> 0:28:40.600
<v Speaker 1>It's like we tennis, but there are no line judges

0:28:40.640 --> 0:28:43.400
<v Speaker 1>anymore for the first time in the one hundred and

0:28:43.440 --> 0:28:46.840
<v Speaker 1>forty eight year history of Wimbledon. Instead of a number

0:28:46.920 --> 0:28:50.720
<v Speaker 1>of humans carefully bending over to watch each line during

0:28:50.760 --> 0:28:53.680
<v Speaker 1>every point to see if a ball falls inside or

0:28:53.680 --> 0:28:56.920
<v Speaker 1>outside the line, it's all being done by AI or

0:28:57.000 --> 0:29:01.480
<v Speaker 1>another acronym ELC, electronic line calling. Humans, of course, do

0:29:01.640 --> 0:29:04.880
<v Speaker 1>make mistakes more frequently than robots, but many sports fans

0:29:04.880 --> 0:29:07.480
<v Speaker 1>will agree that watching a match isn't just about accuracy,

0:29:07.880 --> 0:29:09.040
<v Speaker 1>it's about drama.

0:29:09.600 --> 0:29:12.440
<v Speaker 3>So just explain to me, does it mean that there

0:29:12.440 --> 0:29:15.440
<v Speaker 3>are no disputed calls or reviews of replace?

0:29:15.680 --> 0:29:20.520
<v Speaker 1>Yeah? So obviously Phase one was line judges. Phase two

0:29:20.640 --> 0:29:24.400
<v Speaker 1>was line judges plus cameras, so that if player could

0:29:24.400 --> 0:29:26.400
<v Speaker 1>dispute the line dram call and you get a hawkeye

0:29:26.440 --> 0:29:29.360
<v Speaker 1>and then you get the computer to basically correct or

0:29:29.840 --> 0:29:30.440
<v Speaker 1>endorse the line.

0:29:30.720 --> 0:29:33.280
<v Speaker 3>Y you have it here in America for the US opening.

0:29:33.360 --> 0:29:35.880
<v Speaker 1>Yeah, well exactly. But were now in phase three, which

0:29:35.920 --> 0:29:38.760
<v Speaker 1>is just the robots. I mean, this is the classic story,

0:29:38.840 --> 0:29:43.600
<v Speaker 1>isn't It's like humans, humans augmented by technology just technology.

0:29:43.880 --> 0:29:46.120
<v Speaker 1>Around two hundred line judges are out of a job,

0:29:46.280 --> 0:29:49.360
<v Speaker 1>but eighty have been retained in case there are issues

0:29:49.360 --> 0:29:52.680
<v Speaker 1>with the electronics system. Always nice to be back up

0:29:53.040 --> 0:29:56.200
<v Speaker 1>to a robot. One of the judges didn't pull her punches.

0:29:56.520 --> 0:29:59.080
<v Speaker 1>She said that line judges are now their quote for

0:29:59.120 --> 0:30:01.880
<v Speaker 1>no other reason and to escort players on and off

0:30:01.880 --> 0:30:04.960
<v Speaker 1>the court. They were always dressed like butler's and that's

0:30:05.000 --> 0:30:06.080
<v Speaker 1>basically what they are now.

0:30:06.200 --> 0:30:07.760
<v Speaker 3>Oh shot fired?

0:30:08.600 --> 0:30:12.920
<v Speaker 1>Is it working not perfectly? An umpire had to stop

0:30:12.920 --> 0:30:15.720
<v Speaker 1>a match recently when the system failed to spot a

0:30:15.760 --> 0:30:18.880
<v Speaker 1>ball that clearly had landed out of bounds on no

0:30:19.000 --> 0:30:21.360
<v Speaker 1>less than set point, and then the players had to

0:30:21.360 --> 0:30:25.600
<v Speaker 1>replay the point. A Wimbledon spokesman blamed the mistake on

0:30:25.720 --> 0:30:29.960
<v Speaker 1>operator error human error, but the match was between a

0:30:30.000 --> 0:30:33.640
<v Speaker 1>Russian tennis player and a brit and the Russian blamed

0:30:34.040 --> 0:30:37.960
<v Speaker 1>hometown bias for the replay of the clutch point rather

0:30:38.000 --> 0:30:40.840
<v Speaker 1>than simply awarding it to her given the ball was

0:30:40.880 --> 0:30:44.520
<v Speaker 1>clearly out. Here's what Pavyo Chenkova had to say.

0:30:45.080 --> 0:30:47.880
<v Speaker 4>I expect a different decision. I just thought also chairm

0:30:47.960 --> 0:30:51.920
<v Speaker 4>Bio could take an initiative, and that's why he's therefore

0:30:52.800 --> 0:30:55.320
<v Speaker 4>sitting on the chair, and he also saw it out.

0:30:55.520 --> 0:30:57.760
<v Speaker 4>He told me after the match, I think we're losing

0:30:57.760 --> 0:31:00.560
<v Speaker 4>a little bit of this charm of actually having human

0:31:00.600 --> 0:31:04.560
<v Speaker 4>being ball boys, and you know, it just becomes a

0:31:04.600 --> 0:31:08.240
<v Speaker 4>little bit weird and like Robert sort of.

0:31:08.200 --> 0:31:12.160
<v Speaker 1>Orientated, just becomes a little bit weird and robo orientated.

0:31:12.440 --> 0:31:13.680
<v Speaker 1>That's the story of her.

0:31:14.200 --> 0:31:15.480
<v Speaker 3>That's right, that's right.

0:31:15.480 --> 0:31:18.520
<v Speaker 1>But it is interesting. She was like, maybe the umpire

0:31:19.080 --> 0:31:21.680
<v Speaker 1>was scared to trust his own eyes and overall the

0:31:21.720 --> 0:31:24.080
<v Speaker 1>computer even most clearly out that is automation bias. One

0:31:24.080 --> 0:31:24.320
<v Speaker 1>and one.

0:31:24.360 --> 0:31:26.040
<v Speaker 3>I was going to say automation bias. I mean, how

0:31:26.080 --> 0:31:28.680
<v Speaker 3>many times I get in fights with my mother about

0:31:28.680 --> 0:31:32.080
<v Speaker 3>directions because she knows the right way and I was

0:31:32.160 --> 0:31:37.280
<v Speaker 3>raised on Google Maps. So you probably don't know this

0:31:37.400 --> 0:31:42.640
<v Speaker 3>because you're English. But this is the fiftieth anniversary summer

0:31:43.040 --> 0:31:45.960
<v Speaker 3>of the release of Jaws, which I actually watched again

0:31:46.000 --> 0:31:49.000
<v Speaker 3>last weekend and haunts my nightmare.

0:31:49.080 --> 0:31:50.880
<v Speaker 1>My mother told me I wasn't allowed to watch it.

0:31:50.960 --> 0:31:51.480
<v Speaker 3>She's a good mind.

0:31:51.480 --> 0:31:52.400
<v Speaker 1>I would never swim again.

0:31:52.480 --> 0:31:53.120
<v Speaker 3>She's a good mard.

0:31:53.160 --> 0:31:54.200
<v Speaker 1>She wanted me to swim.

0:31:54.560 --> 0:31:59.880
<v Speaker 3>She wanted to related to this, and I really hate

0:31:59.920 --> 0:32:02.400
<v Speaker 3>that there's any real news story that's related to Jaws.

0:32:02.400 --> 0:32:05.040
<v Speaker 3>But there was a story this week about city and

0:32:05.080 --> 0:32:08.920
<v Speaker 3>state officials in New York using drones to locate and

0:32:09.000 --> 0:32:11.640
<v Speaker 3>track sharks on beaches and Queens and on Long Island.

0:32:12.280 --> 0:32:15.920
<v Speaker 3>I go to Long Island, I swim on Long Island,

0:32:16.640 --> 0:32:20.960
<v Speaker 3>and around the July fourth weekend this past weekend, there

0:32:21.000 --> 0:32:23.760
<v Speaker 3>were eight sightings of sharks in less than a week.

0:32:23.840 --> 0:32:26.760
<v Speaker 1>Despite not having watched Jaws, I'm still very scared of shoks.

0:32:27.000 --> 0:32:27.960
<v Speaker 1>This is not good to hear.

0:32:28.680 --> 0:32:31.920
<v Speaker 3>So every time a shark was spotted, swimmers were ordered

0:32:31.920 --> 0:32:34.560
<v Speaker 3>to evacuate the area for an hour. And this happened

0:32:34.760 --> 0:32:36.719
<v Speaker 3>a lot over the weekend. As you can imagine, it

0:32:36.720 --> 0:32:38.320
<v Speaker 3>really frustrated beach goers.

0:32:38.640 --> 0:32:41.240
<v Speaker 1>Yeah. I was out of town, as I've mentioned multiple times,

0:32:41.480 --> 0:32:43.560
<v Speaker 1>but I got sent some Reddit comments about this story,

0:32:43.600 --> 0:32:46.760
<v Speaker 1>and my favorite was quote in true New York City fashion,

0:32:46.920 --> 0:32:49.920
<v Speaker 1>it's obviously a loan shark. I don't pay up, or

0:32:49.920 --> 0:32:50.959
<v Speaker 1>we'll nibble your toes.

0:32:51.080 --> 0:32:54.440
<v Speaker 3>I really, I mean, I do love the way that

0:32:54.800 --> 0:33:00.840
<v Speaker 3>Reddit makes lemonade out of lemons. There's actually speculation about

0:33:01.280 --> 0:33:03.840
<v Speaker 3>whether there are actually more sharks in the area, or

0:33:03.880 --> 0:33:06.400
<v Speaker 3>if there were always this many. We just didn't spot

0:33:06.440 --> 0:33:07.760
<v Speaker 3>them as easily without drones.

0:33:07.840 --> 0:33:09.800
<v Speaker 1>That was exactly going to be my question, because it's like,

0:33:09.800 --> 0:33:11.760
<v Speaker 1>there was a story recently in The New Yorker about

0:33:11.800 --> 0:33:15.720
<v Speaker 1>cancer diagnostic and it's like, is there a possibility haing

0:33:15.760 --> 0:33:18.440
<v Speaker 1>too much information? Yes, Like maybe the sharks are always there,

0:33:19.120 --> 0:33:19.920
<v Speaker 1>just the drones in you.

0:33:20.560 --> 0:33:23.400
<v Speaker 3>It's why they say don't get a full body scam,

0:33:23.480 --> 0:33:25.320
<v Speaker 3>because sometimes there's stuff you don't want to know. You

0:33:25.360 --> 0:33:26.800
<v Speaker 3>don't want to know what sharks are in the water.

0:33:26.880 --> 0:33:27.920
<v Speaker 1>Sometimes sometimes you don't.

0:33:28.240 --> 0:33:30.480
<v Speaker 3>But I do think the state is responding to reports

0:33:30.560 --> 0:33:33.320
<v Speaker 3>that a twenty year old woman was probably bitten by

0:33:33.320 --> 0:33:34.480
<v Speaker 3>a shark a few weeks back.

0:33:34.560 --> 0:33:36.880
<v Speaker 1>What on earth do you mean? Probably bitten by a shark?

0:33:37.040 --> 0:33:40.680
<v Speaker 3>So this woman was bitten by something in the water,

0:33:41.080 --> 0:33:43.880
<v Speaker 3>and when biologists gave the bite marks a once over,

0:33:44.240 --> 0:33:48.040
<v Speaker 3>they concluded that the bite quote most likely involved a

0:33:48.160 --> 0:33:52.240
<v Speaker 3>juvenile sand tiger shark. How she doing, She's okay, she's alive.

0:33:52.480 --> 0:33:54.920
<v Speaker 3>She walked away with minor cuts to her left foot

0:33:55.440 --> 0:33:58.480
<v Speaker 3>and leg. But why aren't we more upset about this

0:33:58.920 --> 0:34:01.800
<v Speaker 3>about what, well, probably being bitten by a shark?

0:34:01.920 --> 0:34:04.360
<v Speaker 1>Yeah, I was probably bitten by a shark? Would actually

0:34:04.360 --> 0:34:07.959
<v Speaker 1>be a great slogan T shirt. That's the last headline today.

0:34:08.200 --> 0:34:11.520
<v Speaker 1>But I believe Kara, you have a pitch for our listeners.

0:34:11.880 --> 0:34:14.680
<v Speaker 3>So since January when we took over the tex Stuff feed,

0:34:14.760 --> 0:34:17.719
<v Speaker 3>I come to pitch meetings and I'm always excited to

0:34:17.760 --> 0:34:20.360
<v Speaker 3>talk to you guys about just these out of pocket

0:34:20.400 --> 0:34:23.360
<v Speaker 3>ways that my friends are using Chatgypte and not just

0:34:23.440 --> 0:34:28.080
<v Speaker 3>chatgypt you know, Claude Gemini. I like seeing the ways

0:34:28.120 --> 0:34:32.160
<v Speaker 3>in which chatbots are like infiltrating daily life, right.

0:34:32.080 --> 0:34:33.880
<v Speaker 1>And you shared a very interesting one this week.

0:34:34.360 --> 0:34:38.000
<v Speaker 3>Yeah, you know, it wasn't even interesting as much as

0:34:38.000 --> 0:34:41.200
<v Speaker 3>it was banal, but also really functional, which is that

0:34:42.000 --> 0:34:49.280
<v Speaker 3>my sister and her girlfriend were supposed to be staying

0:34:49.400 --> 0:34:53.040
<v Speaker 3>at this home for the week on vacation sort of

0:34:53.080 --> 0:34:57.040
<v Speaker 3>Airbnb rental property, and it was I will say, not

0:34:57.120 --> 0:35:00.239
<v Speaker 3>up to snuff. And my sister and her girlfrien are

0:35:00.239 --> 0:35:03.120
<v Speaker 3>both very good communicators, but it was late and they

0:35:03.120 --> 0:35:08.520
<v Speaker 3>were tired, and they wanted to vacate this premises.

0:35:08.960 --> 0:35:10.960
<v Speaker 2>And get their money back and get their money back.

0:35:10.800 --> 0:35:14.200
<v Speaker 3>And so they relied on Chat GBT to help them communicate.

0:35:14.360 --> 0:35:15.719
<v Speaker 3>And this was the important part. And I think this

0:35:15.760 --> 0:35:18.719
<v Speaker 3>is why people use chat. They wanted to communicate in

0:35:18.760 --> 0:35:22.640
<v Speaker 3>a certain way, being kind and calm but also firm.

0:35:23.160 --> 0:35:25.840
<v Speaker 3>And I think what Chat helped them do was form

0:35:26.320 --> 0:35:32.000
<v Speaker 3>a message that was not accusatory or disrespectful about the space.

0:35:32.520 --> 0:35:35.440
<v Speaker 3>And I think it's just so interesting that, like we

0:35:35.480 --> 0:35:39.440
<v Speaker 3>would rely on a large language model to make ourselves

0:35:39.440 --> 0:35:41.040
<v Speaker 3>seem more human or humane.

0:35:41.120 --> 0:35:43.560
<v Speaker 1>That's very well put, you know. And it's been fun

0:35:43.560 --> 0:35:45.759
<v Speaker 1>of hearing these stories from you every week in our

0:35:45.760 --> 0:35:48.000
<v Speaker 1>pitch meetings, and so we thought it'd be fun to

0:35:48.040 --> 0:35:51.040
<v Speaker 1>bring more of them into the show, but not just

0:35:51.080 --> 0:35:52.920
<v Speaker 1>from you, also from our listeners.

0:35:53.320 --> 0:35:56.280
<v Speaker 3>Yeah, and you know, hear from our listeners about how

0:35:56.360 --> 0:35:57.720
<v Speaker 3>you're using AI.

0:35:58.239 --> 0:36:01.640
<v Speaker 1>So if and when you found yourself turning to Jack

0:36:01.680 --> 0:36:04.560
<v Speaker 1>Gpt or girl called claud or Gemini or whichever one

0:36:04.600 --> 0:36:07.880
<v Speaker 1>you use for help with a particular task or to

0:36:07.960 --> 0:36:11.960
<v Speaker 1>navigate your real life, we want to hear about it. Ideally,

0:36:12.520 --> 0:36:15.120
<v Speaker 1>send us a one to two minute voice note to

0:36:15.360 --> 0:36:18.360
<v Speaker 1>Text Stuff Podcast at gmail dot com, or if you

0:36:18.360 --> 0:36:19.880
<v Speaker 1>want to write it down instead and just send it

0:36:19.920 --> 0:36:21.279
<v Speaker 1>as a normal email, that's fine too.

0:36:22.280 --> 0:36:24.720
<v Speaker 3>Yeah, tell us about how you're using it, what works,

0:36:24.760 --> 0:36:28.279
<v Speaker 3>what doesn't, why you like using AI for this task specifically,

0:36:28.760 --> 0:36:33.560
<v Speaker 3>we want to hear it all, and if you are

0:36:33.680 --> 0:36:36.879
<v Speaker 3>using a chatbot to write your wedding vows, we will

0:36:36.920 --> 0:36:39.680
<v Speaker 3>report this story until it is blue in the face.

0:36:40.360 --> 0:36:42.160
<v Speaker 3>I know what's happening and I want.

0:36:42.040 --> 0:36:44.880
<v Speaker 1>To hear about it, so please send in your stories

0:36:44.960 --> 0:36:48.120
<v Speaker 1>to text Stuff Podcasts at gmail dot com. You may

0:36:48.120 --> 0:36:50.160
<v Speaker 1>get to hear your voice on the show, and if

0:36:50.160 --> 0:36:52.960
<v Speaker 1>you do, we'll send you a T shirt with the

0:36:53.000 --> 0:36:56.160
<v Speaker 1>phrase I've probably got bitten by a shark, or maybe

0:36:56.160 --> 0:36:58.440
<v Speaker 1>something more appropriate to tech stuff, but we want to

0:36:58.440 --> 0:37:00.400
<v Speaker 1>hear from you, so please do write in. We'll be

0:37:00.440 --> 0:37:03.160
<v Speaker 1>doing this every week. Is called Chat and Me.

0:37:16.520 --> 0:37:18.120
<v Speaker 3>That's it for this week for tech Stuff.

0:37:18.160 --> 0:37:20.360
<v Speaker 2>I'm Karra Price and I'm Oz Valschin.

0:37:20.880 --> 0:37:24.840
<v Speaker 1>This episode was produced by Eliza Dennis and Adriana Topia.

0:37:25.560 --> 0:37:28.120
<v Speaker 1>It was executive produced by Me, Kara Price and Kate

0:37:28.160 --> 0:37:33.680
<v Speaker 1>Osborne for Kaleidoscope and Katrina norvelfa iHeart Podcasts. The engineer

0:37:33.719 --> 0:37:36.959
<v Speaker 1>is Bihid Fraser and Jack Insley mixed this episode. Kyle

0:37:37.040 --> 0:37:38.239
<v Speaker 1>Murdoch wrote out theme song.

0:37:38.880 --> 0:37:41.920
<v Speaker 3>Join us next Wednesday for Textuff the story when we

0:37:41.960 --> 0:37:44.799
<v Speaker 3>will share an in depth conversation with David Webster, the

0:37:44.840 --> 0:37:47.440
<v Speaker 3>head of User Experience at Google Labs about what it

0:37:47.520 --> 0:37:49.880
<v Speaker 3>means to design human centered tech.

0:37:50.040 --> 0:37:53.200
<v Speaker 1>And please do rate and review the show on Apple podcasts,

0:37:53.280 --> 0:37:56.360
<v Speaker 1>on Spotify wherever you listen to your podcasts, and write

0:37:56.360 --> 0:37:59.160
<v Speaker 1>into us at tech stuff podcast at gmail dot com

0:37:59.200 --> 0:38:02.640
<v Speaker 1>with your feedback and of course your story is about chatting.