WEBVTT - Week in Tech: Cast Your Ballot On Discord

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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 Voloscian and I'm Carera Price.

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<v Speaker 1>Today we'll get into the headlines this week, including Nepal's

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<v Speaker 1>failed social media band turned government takeover, and a look

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<v Speaker 1>at the newest generation of tech founders. Then on chatting me.

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<v Speaker 3>Chasubt has become kind of like a partner that makes

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<v Speaker 3>managing health and lifestyle simple.

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<v Speaker 1>All of that On the Week in Tech. It's Friday,

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<v Speaker 1>September twenty sixth.

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<v Speaker 2>Hello, Cara Hias.

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<v Speaker 1>Nice to see you. It's been a couple of weeks

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<v Speaker 1>where we've been remote, you've abandoned me. It's good to

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<v Speaker 1>be back with you in person.

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<v Speaker 2>Dirty gritty New York City.

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<v Speaker 4>Speaking of dirty grit in New York City, how often

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<v Speaker 4>you go to Brian Park?

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<v Speaker 1>Why not to go inside Brian Park? But I take

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<v Speaker 1>the subway to Brian Park once a week on Thursday's

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<v Speaker 1>Goo Therapy. But this week and you're trying not to

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<v Speaker 1>go anywhere because this un week has completely unga, snarled

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<v Speaker 1>traffic and the.

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<v Speaker 4>Dirtiest word in the New york Er Dictionary unga.

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<v Speaker 1>Why do you ask, though, because.

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<v Speaker 4>Brian Park is not where the Center of Fashion is

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<v Speaker 4>in Manhattan. It is where I found my most beloved

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<v Speaker 4>new toy. Her name is Belonce.

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<v Speaker 1>Belonce.

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<v Speaker 4>She's actually not she doesn't belong to me, but she

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<v Speaker 4>is the robot lawnmower of Brian Park.

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<v Speaker 1>Well, she's got a good name.

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<v Speaker 4>I wish I came up with the name Belonce.

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<v Speaker 1>I did not.

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<v Speaker 4>I read about it in the Washington Post and then

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<v Speaker 4>I actually went to the park to check it out.

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<v Speaker 1>You did some reporting.

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<v Speaker 2>She's gorgeous. How in the flesh she's gorgeous?

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<v Speaker 1>Is there anything significant about Belonce other than her fabulous name?

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<v Speaker 4>Nothing is insignificant about Belonce. She's a four thousand dollars rumba, essentially,

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<v Speaker 4>and she's run via an app which tells her when

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<v Speaker 4>and where to mow. So you tell her where to go,

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<v Speaker 4>she does her thing, and then very cutely, she rolls

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<v Speaker 4>herself back to her charger after a few hours. And

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<v Speaker 4>I think it goes without saying that all of these

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<v Speaker 4>electric robot lawnmowers are much in quotes greener than their

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<v Speaker 4>gas guzzling human controlled counterparts.

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<v Speaker 1>My mother also has a semi autonomous robot lawnmower at

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<v Speaker 1>her house. I'm not sure if that's because of her

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<v Speaker 1>concern for gas guzzling. But it is interesting how these

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<v Speaker 1>kind of almost sci fi type robots have become so

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<v Speaker 1>normalized that people think you're crazy for going to look

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<v Speaker 1>at one in action. I am curious though. Obviously in

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<v Speaker 1>the previously owned garden, you know, a Belonce going about

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<v Speaker 1>her business is racally safe. But I can imagine the

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<v Speaker 1>cut in trust of New York City, you know, vandalism, theft.

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<v Speaker 4>All dirt, the grimy crime of New York City. Actually,

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<v Speaker 4>that Belonce wouldn't be safe.

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<v Speaker 1>Yeah, I was worried about her.

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<v Speaker 2>Well, she is safe.

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<v Speaker 4>You want to know why there's a ton of security

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<v Speaker 4>in brime. She's also not the first she has peers.

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<v Speaker 4>There were several others tested, including l lawn James got.

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<v Speaker 1>Who comes up with this? Mum? If you're listening, Karen,

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<v Speaker 1>do you have any suggestions for what the garden lawnmower

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<v Speaker 1>could be rechristened?

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<v Speaker 4>Okay, so I have actually five because one of our

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<v Speaker 4>genius producers asked an AI chatbot for a few more

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<v Speaker 4>lawn pun names.

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<v Speaker 2>Here we go. My favorite, Trimothy Shallome.

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<v Speaker 4>Mozart, Yeah, fine, eh, post Malone, ye ye grass, light Year,

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<v Speaker 4>and fine, another great one a lawn musk.

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<v Speaker 1>That's my favorite. MS. Okay, we got it.

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<v Speaker 4>So that is my lighthearted contribution for today. If you

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<v Speaker 4>are in New York City, go check out belonce. She'll

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<v Speaker 4>be waiting for you. I have to switch gears a

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<v Speaker 4>little bit for my next story. How familiar are you

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<v Speaker 4>with Discord.

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<v Speaker 1>I've had about Discord for many years. I've never actually

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<v Speaker 1>used it a gamer. I'm not a gamer. I know

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<v Speaker 1>it's kind of like a live platform for simultaneous discussion,

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<v Speaker 1>and unfortunately, my life is so sad that the closest

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<v Speaker 1>analogy I can think of is the work productivity tool Slack.

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<v Speaker 2>Slack is a game for you.

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<v Speaker 4>Unfortunately, you're like, oh, you mean Slack's Ega Genesis. Well,

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<v Speaker 4>the reason I ask you, and I think you'll be

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<v Speaker 4>interested in this. Discord recently played a very big role

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<v Speaker 4>in a revolution.

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<v Speaker 1>I actually I actually heard about this a little bit

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<v Speaker 1>intil some headlines. This is in Nepal, that's right.

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<v Speaker 4>So in the course of a week, the country banned

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<v Speaker 4>social media, erupted in gen z led protest, ousted, their

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<v Speaker 4>prime minister, solicited recommendations for an interim replacement on chat GBT,

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<v Speaker 4>and then elected an interim leader on discord.

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<v Speaker 1>Talk about tech stuff.

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<v Speaker 2>It really is a tech stuff story.

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<v Speaker 1>Yeah, I don't know that much about Nepal. I know

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<v Speaker 1>it's in the Himalayas. I know it's where Mount Everest is. Yes,

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<v Speaker 1>it borders China and India. But why did this happen there? Like,

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<v Speaker 1>what's the background?

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<v Speaker 4>So actually Nepal was traditionally a monarchy, right, but a

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<v Speaker 4>democratic government was founded less than twenty years ago. Nepal

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<v Speaker 4>is the second poorest country in South Asia, the first

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<v Speaker 4>being Afghanistan. And a few weeks ago there was a

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<v Speaker 4>massive TikTok trend among youth and Nepal called hashtag Nepo kids.

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<v Speaker 4>So social media users were posting videos showing the wealthy

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<v Speaker 4>lifestyles of the children of Nepal's leaders. So think images

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<v Speaker 4>of politicians' kids posing in front of Christmas trees made

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<v Speaker 4>out of Louis Vuitton and Cardier boxes. These images were

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<v Speaker 4>being juxtaposed with images of the day to day struggles

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<v Speaker 4>of regular people in Nepal. So there are images of

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<v Speaker 4>malnourished children, floods, decimated housing, and overall poverty.

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<v Speaker 1>Yeah, that's quite a stark juxtaposition. And I can't imagine

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<v Speaker 1>government ministers felt too good about their children being juxtaposed

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<v Speaker 1>with children suffering malnourishment and poverty. No, and it.

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<v Speaker 4>Actually it led to the government banning twenty six social

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<v Speaker 4>media platforms, including TikTok, YouTube, and Facebook, purportedly in the

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<v Speaker 4>name of battling fake news, hate speech, and online fraud,

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<v Speaker 4>which obviously people are not buying.

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<v Speaker 1>Yeah, I wouldn't buy that either. When did the band

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<v Speaker 1>come into effect?

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<v Speaker 2>On my birthday?

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<v Speaker 1>September fourth, hap your birthday?

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<v Speaker 4>The following Monday, Thousands of young people took to the streets.

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<v Speaker 4>So some government buildings were burned down, including the Prime

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<v Speaker 4>Minister's office, and according to Reuter's there was a violent

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<v Speaker 4>crackdown and about seventy two people were actually killed in

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<v Speaker 4>the protest and subsequent fires.

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<v Speaker 1>Yeah, this sounds like, I mean, eerily familiar in terms

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<v Speaker 1>of the Arab Spring of fifteen years ago. What happened

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<v Speaker 1>next in Nepal?

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<v Speaker 4>So the social media ban was reversed almost immediately after

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<v Speaker 4>protests began, and on Tuesday, September ninth, the Prime minister

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<v Speaker 4>resigned and fled the country. Then the military pretty much

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<v Speaker 4>took over and put a curfew in place. And so

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<v Speaker 4>you know, what do people do when they're force to

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<v Speaker 4>stay inside, They go back on life, That's right, they

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<v Speaker 4>go online. So over one hundred thousand people, including a

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<v Speaker 4>number of organizing groups, spent several days on Discord working

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<v Speaker 4>to come up with an interim leader who the military

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<v Speaker 4>would actually cooperate with and accept. There were discussions taking

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<v Speaker 4>place on Discord, filled with you know, everything you'd expect

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<v Speaker 4>on discord, memes, insults, and there were some genuinely earnest

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<v Speaker 4>you know, suggestions and polls.

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<v Speaker 1>Right.

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<v Speaker 4>Young activists argued over the future leadership of the country,

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<v Speaker 4>and some even turned to chat GPT for help. You know,

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<v Speaker 4>one group asked chat to identify potential candidates for the

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<v Speaker 4>interim leadership position, and so when they were provided a

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<v Speaker 4>list of qualified candidates, they went back to chat gpt

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<v Speaker 4>and asked it to debate the strengths and weaknesses of

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<v Speaker 4>each candidate.

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<v Speaker 1>Well and chat gate good advice, it seemed to you know.

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<v Speaker 4>Chat gpt actually provided many qualified candidates, including one woman

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<v Speaker 4>who had been selected by a dominant gen Z collective

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<v Speaker 4>to lead negotiations with the military. This was Sushila Karki.

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<v Speaker 4>She's seventy three years old. She's not, you know, a

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<v Speaker 4>young discord user herself. She's a former Chief Justice and

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<v Speaker 4>well known anti corruption crusader, and according to the Sri

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<v Speaker 4>Lankan Guardian, Chatchept advised the quote, she seems likely to

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<v Speaker 4>command trust across different groups and could help oversee reforms

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<v Speaker 4>and the path to fare elections.

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<v Speaker 1>And so far, so good.

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<v Speaker 4>You know, after some chaos, the discord community decided to

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<v Speaker 4>have her be the new interim leader of Nepal. And

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<v Speaker 4>she's actually putting together a cabinet right now and will

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<v Speaker 4>hold elections for a new prime minister in about six months.

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<v Speaker 1>This is an amazing story. This is uncanny online, offline

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<v Speaker 1>metaverse discord chatchpt, real life protests, new leaders. I mean,

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<v Speaker 1>what's so interesting to me about this story is just

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<v Speaker 1>how borderless it is. For example, the mascot of this

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<v Speaker 1>revolution is the pirate flag from the Japanese anime series

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<v Speaker 1>One Piece. Have you watched One Piece?

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<v Speaker 2>I know about it, I'm aware of it.

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<v Speaker 1>So CNN describes it as quote the swashbuckling story, and

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<v Speaker 1>I always loved the swashbuckling story. To the swashbuckling story

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<v Speaker 1>of the charming pirate captain Monkey d Loofy and his

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<v Speaker 1>misfit straw hat crew. CNN continues to one piece fans.

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<v Speaker 1>The flag symbolizes Lufi's quest to chase his dreams, liberate

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<v Speaker 1>oppressed people, and fight the autocratic world government. That flag,

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<v Speaker 1>from a Japanese anime series has now been seen flying

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<v Speaker 1>not just in Nepal, but also in Indonesia and the Philippines,

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<v Speaker 1>countries that are both recently had their own gen Z

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<v Speaker 1>uprisings over government corruptions. I was in an uber this

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<v Speaker 1>morning in gridlock traffic in Midtown, so got chatting. My

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<v Speaker 1>driver was from Nepal, Lucky, and so I asked him,

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<v Speaker 1>you know, what do you think about this story? He said, Look,

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<v Speaker 1>this isn't really a story about Nepal. This is much

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<v Speaker 1>bigger than Nepal. This is about a group of people,

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<v Speaker 1>young people who refuse to be bound by the political conventions,

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<v Speaker 1>the political institutions, or the political establishment of their country

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<v Speaker 1>and instead insisted on having their voice and on a

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<v Speaker 1>new political reality. And his point was this is really borderers.

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<v Speaker 1>And he even said it could happen here. I don't

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<v Speaker 1>know if it really could happen here, but the optimism

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<v Speaker 1>which he brought in the excitement reminded me of the

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<v Speaker 1>early days of the Arab Spring, which obviously followed by

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<v Speaker 1>what people talk about as the Arab Winter. But it'll

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<v Speaker 1>be interesting to see what happens next.

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<v Speaker 4>Yeah, you know, for year, social media companies talked about

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<v Speaker 4>how their platforms could democratize the Internet and bring people together.

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<v Speaker 4>And in the US, as we know, they've mostly proven

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<v Speaker 4>to be divisive and polarizing, you know, que the recent

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<v Speaker 4>discussion about the rhetoric and online communities that motivated Tyler

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<v Speaker 4>Robinson who is now in custody for killing Charlie Kirk.

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<v Speaker 4>But in Nepal they were able to have a transparent

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<v Speaker 4>exercise in direct democracy, of course, with the help of

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<v Speaker 4>Discord and unbelievably generative AI.

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<v Speaker 1>And this brings me to our next stories. So while

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<v Speaker 1>gen Z and Nepal is interested in using AI and

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<v Speaker 1>discord a topple government and bring more direct experience of democracy,

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<v Speaker 1>gen Z in America is focused on getting rich.

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<v Speaker 2>Who isn't true?

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<v Speaker 1>Who isn't So basically, there was a great story in

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<v Speaker 1>the Wall Street Journal that I read. I mean, the

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<v Speaker 1>headline was AI startup founders taut a winning formula, no booze,

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<v Speaker 1>no sleep, no fun. And what the story is really

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<v Speaker 1>about is how back in the early two thousands there

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<v Speaker 1>was this like hustle culture there was. It was celebrated

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<v Speaker 1>in the movie The Social Network. You know, it was

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<v Speaker 1>this time of college dropouts and the consumer internet was

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<v Speaker 1>being born. People were living in dormitories and you know,

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<v Speaker 1>doing business with each other and kind of sacrificing that

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<v Speaker 1>the normal pleasures of youth to build these companies that

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<v Speaker 1>became Facebook and Google or whatever else and became you know,

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<v Speaker 1>multi multi billionaires. In the intervening time, Silicon Valley kind

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<v Speaker 1>of settled into a normal you know, corporate America. People

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<v Speaker 1>had great benefits, they're normal working hours, they made great money,

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<v Speaker 1>et cetera, et cetera, and that seemed to be kind

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<v Speaker 1>of the new norm. And you saw this like generation

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<v Speaker 1>of people who were you know, not all about hustle culture,

0:12:06.280 --> 0:12:08.480
<v Speaker 1>about you know, have a balance in their private lives.

0:12:08.240 --> 0:12:10.000
<v Speaker 2>Exact life balance, a balance.

0:12:10.559 --> 0:12:14.880
<v Speaker 1>Now there are new fortunes to be made, and there

0:12:14.920 --> 0:12:18.120
<v Speaker 1>are new threats to the stable assumptions of what it

0:12:18.240 --> 0:12:20.640
<v Speaker 1>was to be you know, a knowledge worker in your

0:12:20.640 --> 0:12:24.760
<v Speaker 1>early twenties. And so with a vengeance, this hustle culture

0:12:25.120 --> 0:12:26.080
<v Speaker 1>seems to have returned.

0:12:26.520 --> 0:12:28.920
<v Speaker 2>So what does that look like exactly?

0:12:28.920 --> 0:12:31.120
<v Speaker 4>You know, are founders sleeping under their deaths, working all

0:12:31.160 --> 0:12:33.120
<v Speaker 4>the time, have no social I mean, that's that's what

0:12:33.160 --> 0:12:35.240
<v Speaker 4>I think of when I think about sort of early Facebook.

0:12:35.320 --> 0:12:37.880
<v Speaker 1>Yeah, exactly that, but that someone that are even younger

0:12:37.880 --> 0:12:40.720
<v Speaker 1>than they were. So The General profiled an eighteen year

0:12:40.800 --> 0:12:44.480
<v Speaker 1>old from Kazakhstan named Arlan. He dropped out of school

0:12:44.559 --> 0:12:47.160
<v Speaker 1>in his junior year of high school after creating an

0:12:47.200 --> 0:12:49.960
<v Speaker 1>AI tool that led him getting a summer research job

0:12:50.040 --> 0:12:53.559
<v Speaker 1>at Stanford. After that, he was accepted to why Combinator,

0:12:53.600 --> 0:12:56.800
<v Speaker 1>which is this very famous startup incubator that helped develop

0:12:56.840 --> 0:12:59.959
<v Speaker 1>companies like door Dash and Airbnb. He said that being

0:13:00.000 --> 0:13:03.200
<v Speaker 1>steps to why Combinator been his dream since he was ten.

0:13:03.240 --> 0:13:04.680
<v Speaker 2>Years old, which was eight years ago.

0:13:06.040 --> 0:13:13.960
<v Speaker 1>Exactly. Jeez, that really puts his perspective to From there,

0:13:14.240 --> 0:13:17.360
<v Speaker 1>Arlan received a million dollars in funding and moved from

0:13:17.440 --> 0:13:20.640
<v Speaker 1>Kazakhstan to San Francisco again. According to the Journal, he

0:13:20.800 --> 0:13:24.600
<v Speaker 1>always carries his laptop with him and works quote while

0:13:24.640 --> 0:13:28.920
<v Speaker 1>out walking, during dinners, at the laundromat and on the.

0:13:28.840 --> 0:13:34.000
<v Speaker 4>Toy because we're moving fast and breaking things, because we

0:13:34.040 --> 0:13:34.679
<v Speaker 4>have add.

0:13:34.640 --> 0:13:36.800
<v Speaker 1>Well, yeah, I mean, obviously the phone in the toilet

0:13:36.840 --> 0:13:39.200
<v Speaker 1>is a particularly bad habit, but I think Arlan is

0:13:39.240 --> 0:13:43.120
<v Speaker 1>like debugging software, I think, rather than texting. The journal

0:13:43.120 --> 0:13:46.760
<v Speaker 1>reported that even after dinner with other founders, Arlan will

0:13:46.800 --> 0:13:51.680
<v Speaker 1>go to meetings with potential clients until one am. He said, quote,

0:13:51.880 --> 0:13:54.640
<v Speaker 1>I'm trying to be in the sprint mode always. I

0:13:54.679 --> 0:13:57.840
<v Speaker 1>never tried to divide working on startup and my social life.

0:13:57.960 --> 0:14:01.280
<v Speaker 1>And Arline even convinced his father brother to move to

0:14:01.280 --> 0:14:05.240
<v Speaker 1>the US where they're working on their own AI startups. Again,

0:14:05.679 --> 0:14:07.200
<v Speaker 1>he's eighteen years old.

0:14:07.480 --> 0:14:09.720
<v Speaker 4>What does he mean when he says he never tried

0:14:09.760 --> 0:14:12.040
<v Speaker 4>to divide his startup in a social life.

0:14:12.200 --> 0:14:14.600
<v Speaker 1>Yeah, I mean, so you know, it's not like he

0:14:14.720 --> 0:14:17.920
<v Speaker 1>never socializes with other people. Like the startup founders obviously

0:14:18.000 --> 0:14:21.080
<v Speaker 1>understand that having a network is a key part of succeeding.

0:14:21.440 --> 0:14:24.240
<v Speaker 1>They don't waste their time and they don't socialize for fun.

0:14:24.640 --> 0:14:26.600
<v Speaker 1>But apparently one of the things which is in vogue

0:14:26.800 --> 0:14:28.960
<v Speaker 1>as a way of socializing is something you know quite

0:14:29.000 --> 0:14:30.840
<v Speaker 1>a lot about, which is book clubs.

0:14:31.560 --> 0:14:32.280
<v Speaker 2>Interesting.

0:14:32.720 --> 0:14:34.960
<v Speaker 1>I didn't realize that you run a book club I do.

0:14:35.080 --> 0:14:38.040
<v Speaker 1>What do you think motivates your members? To be part

0:14:38.080 --> 0:14:39.480
<v Speaker 1>of the book club. It's called Bellatris.

0:14:39.760 --> 0:14:40.400
<v Speaker 2>Yes, thank you.

0:14:40.560 --> 0:14:44.600
<v Speaker 4>Check it out on Instagram and on the websitewwwl tris

0:14:44.680 --> 0:14:47.800
<v Speaker 4>dot com. I think when we started at what motivated

0:14:47.840 --> 0:14:51.440
<v Speaker 4>people was this idea that we were increasingly on our

0:14:51.480 --> 0:14:54.480
<v Speaker 4>phones all the time. Like in the early twentieth century,

0:14:54.640 --> 0:14:58.400
<v Speaker 4>when paperbacks really started to hit the market, people were

0:14:58.400 --> 0:14:59.520
<v Speaker 4>worried that people would be.

0:14:59.440 --> 0:14:59.960
<v Speaker 2>Reading too much.

0:15:00.040 --> 0:15:03.920
<v Speaker 4>Much. Now, I think a lot of people have said

0:15:03.960 --> 0:15:06.600
<v Speaker 4>to me, you know, I'm devoted to reading in the

0:15:06.640 --> 0:15:08.760
<v Speaker 4>way that I'm devoted to exercise, in the sense of

0:15:09.080 --> 0:15:12.000
<v Speaker 4>it's bringing my mind offline in a way that not

0:15:12.160 --> 0:15:12.840
<v Speaker 4>much else is.

0:15:13.080 --> 0:15:15.160
<v Speaker 1>And I think one of the interesting things in Silicon

0:15:15.240 --> 0:15:18.560
<v Speaker 1>Value there's this thing going on where there's interest in

0:15:18.920 --> 0:15:22.520
<v Speaker 1>Roman history and military history and all this this kind

0:15:22.520 --> 0:15:25.280
<v Speaker 1>of idea that to be a successful founder, Yes, there's

0:15:25.280 --> 0:15:27.600
<v Speaker 1>a lot of hustle, but also kind of living in

0:15:27.640 --> 0:15:31.120
<v Speaker 1>the world of grand ideas and intellectual frameworks and stuff

0:15:31.200 --> 0:15:32.000
<v Speaker 1>is also important.

0:15:32.480 --> 0:15:34.400
<v Speaker 4>One of the things that's surprising about this article, and

0:15:34.640 --> 0:15:37.120
<v Speaker 4>you're describing in it, is like I was under the

0:15:37.160 --> 0:15:40.800
<v Speaker 4>impression that gen Z was like quiet, quitting and taking

0:15:40.840 --> 0:15:41.840
<v Speaker 4>time for themselves.

0:15:42.120 --> 0:15:44.040
<v Speaker 1>Yeah, I think that comes back to what I was

0:15:44.080 --> 0:15:46.800
<v Speaker 1>saying at the beginning, which is there's probably like there

0:15:46.800 --> 0:15:51.000
<v Speaker 1>may be a bifurcation between like elder gen Z and

0:15:51.080 --> 0:15:55.840
<v Speaker 1>younger gen Z. I mean, life was economically before the

0:15:55.840 --> 0:16:00.200
<v Speaker 1>air evolution, like the corporate job market was much more

0:16:00.200 --> 0:16:03.640
<v Speaker 1>secure than is now, and also like new fortunes were

0:16:03.640 --> 0:16:05.960
<v Speaker 1>not being made, like the tech companies were so dominant.

0:16:05.960 --> 0:16:08.440
<v Speaker 1>There's all that focus on how you needed anti trust

0:16:08.760 --> 0:16:12.520
<v Speaker 1>regulation otherwise no new companies would emerge. And then jen

0:16:12.600 --> 0:16:15.080
<v Speaker 1>Ai came along and it just shattered the landscape. And

0:16:15.120 --> 0:16:19.480
<v Speaker 1>so now you have these extraordinary you know, dreamers like

0:16:19.520 --> 0:16:21.840
<v Speaker 1>our Land moving from Kazakhstan to try and make it

0:16:21.840 --> 0:16:24.400
<v Speaker 1>in the valley. It's something that's always happened, I think,

0:16:24.440 --> 0:16:27.360
<v Speaker 1>But this you know, return of hustle culture with a

0:16:27.440 --> 0:16:29.560
<v Speaker 1>vengeance is really interesting. There was a bit in a

0:16:29.600 --> 0:16:32.520
<v Speaker 1>story that really made me think, which is that a

0:16:32.560 --> 0:16:34.920
<v Speaker 1>bunch of the young founders refer to this concept of

0:16:35.040 --> 0:16:37.000
<v Speaker 1>nine ninety six. Do you not? Nine ninety six is?

0:16:37.280 --> 0:16:39.760
<v Speaker 4>I do? But please describe it because I want people to.

0:16:39.720 --> 0:16:41.840
<v Speaker 1>Know, well, nine ninety six is actually a concept that

0:16:41.880 --> 0:16:45.080
<v Speaker 1>emerged in China, and this was basically a kind of

0:16:45.320 --> 0:16:48.600
<v Speaker 1>work as hard as you can nine am to nine pm,

0:16:48.720 --> 0:16:50.720
<v Speaker 1>six days a week, so every day you one day

0:16:50.720 --> 0:16:53.080
<v Speaker 1>off and otherwise you work twelve hours a day. And

0:16:53.160 --> 0:16:55.200
<v Speaker 1>this was kind of like a little bit of a

0:16:55.200 --> 0:16:57.160
<v Speaker 1>boogey man of like people look at China and think,

0:16:57.160 --> 0:16:58.760
<v Speaker 1>oh my god, this is a whole generation of young

0:16:58.800 --> 0:17:01.320
<v Speaker 1>people who are killing them by working too hard in

0:17:01.360 --> 0:17:04.040
<v Speaker 1>the tech sector, and you know, actually suicides, and there's

0:17:04.040 --> 0:17:07.159
<v Speaker 1>a lot of horrible kind of ansidiary reporting around this

0:17:07.200 --> 0:17:10.560
<v Speaker 1>nine ninety six culture. But it's now evidently like a

0:17:10.640 --> 0:17:13.919
<v Speaker 1>meme not so dissimilar to the Pirate flag, been absorbed

0:17:14.000 --> 0:17:17.119
<v Speaker 1>by a certain sector of youth population of Silicon Valley

0:17:17.359 --> 0:17:19.080
<v Speaker 1>as something to aspire to. And I just find that

0:17:19.080 --> 0:17:19.960
<v Speaker 1>really really interesting.

0:17:20.160 --> 0:17:23.280
<v Speaker 4>It is very strange because we came of age in

0:17:23.359 --> 0:17:27.480
<v Speaker 4>a time where burnout culture was such a buzzword. This

0:17:27.560 --> 0:17:31.000
<v Speaker 4>is literally touting burnout culture as the way to live

0:17:31.320 --> 0:17:33.240
<v Speaker 4>and as the way to make money, which is interesting.

0:17:33.240 --> 0:17:36.960
<v Speaker 4>I mean, if you think of prior generations of immigrant populations,

0:17:37.000 --> 0:17:39.840
<v Speaker 4>like burnout was a way to build wealth in this country.

0:17:39.840 --> 0:17:42.359
<v Speaker 4>If you came to this country and if your relatives

0:17:42.359 --> 0:17:43.959
<v Speaker 4>were meant to come to this country, it wasn't like

0:17:44.160 --> 0:17:46.280
<v Speaker 4>if you owned a dry cleaner, for example, you.

0:17:46.480 --> 0:17:48.560
<v Speaker 1>It nine ninety six was there was another work.

0:17:48.359 --> 0:17:51.200
<v Speaker 4>Life balance at the dry cleaner. And I think what's

0:17:51.240 --> 0:17:53.479
<v Speaker 4>interesting is it's the type of businesses that people are

0:17:53.480 --> 0:17:56.800
<v Speaker 4>building that has changed. But there has always been a

0:17:56.840 --> 0:17:59.280
<v Speaker 4>mentality in this country of like, we come to America

0:18:00.080 --> 0:18:01.000
<v Speaker 4>to make wealth.

0:18:01.080 --> 0:18:03.399
<v Speaker 1>See I think you're right to your point. AI is

0:18:03.520 --> 0:18:05.960
<v Speaker 1>exactly that. Like it's a chimera, like it's a dream,

0:18:06.000 --> 0:18:07.800
<v Speaker 1>it's anything you want it to be. And so it's

0:18:07.840 --> 0:18:09.919
<v Speaker 1>literally a moment where like for a certain group of

0:18:09.920 --> 0:18:12.679
<v Speaker 1>people it feels like anything's possible, although of course the

0:18:12.720 --> 0:18:15.080
<v Speaker 1>reality is most of them will be very burnt out

0:18:15.119 --> 0:18:17.480
<v Speaker 1>and not have very valuable businesses at the end of it.

0:18:17.680 --> 0:18:19.920
<v Speaker 4>You know, your pal Jeff Hinton, who was a tech

0:18:19.960 --> 0:18:23.479
<v Speaker 4>stuff guest and the so called godfather of AI, recently

0:18:23.520 --> 0:18:26.320
<v Speaker 4>gave an interview to The Financial Times where he said, quote,

0:18:26.480 --> 0:18:29.080
<v Speaker 4>AI will make a few people much richer and most

0:18:29.119 --> 0:18:32.000
<v Speaker 4>people poorer. So I think we kind of are aware

0:18:32.000 --> 0:18:34.119
<v Speaker 4>of this on a macro level, but it's interesting to

0:18:34.119 --> 0:18:36.840
<v Speaker 4>see it play out in the Petri dish of Silicon Valley.

0:18:36.880 --> 0:18:40.359
<v Speaker 4>You know how hard these kids are willing to fight

0:18:40.480 --> 0:18:42.600
<v Speaker 4>for a slice of the AI PI while like all

0:18:42.680 --> 0:18:44.600
<v Speaker 4>of these entry level jobs are being slashed.

0:18:45.359 --> 0:18:48.920
<v Speaker 1>After the break, some more headlines. The FDC is taking

0:18:48.960 --> 0:18:53.360
<v Speaker 1>Amazon to trial, Albania has an AI minister of corruption,

0:18:54.000 --> 0:18:57.959
<v Speaker 1>and Russia has an AI generated television show. Then on

0:18:58.040 --> 0:19:01.720
<v Speaker 1>Chat to me Chat helps one tech stuff listener navigate

0:19:01.840 --> 0:19:13.000
<v Speaker 1>a scary diagnosis. Stay with us. We're back, and in

0:19:13.000 --> 0:19:15.000
<v Speaker 1>honor of you, m week, We've got a couple more

0:19:15.080 --> 0:19:18.840
<v Speaker 1>global headlines for you. But first, Kara, are you an

0:19:18.880 --> 0:19:20.119
<v Speaker 1>Amazon Prime member?

0:19:20.760 --> 0:19:21.240
<v Speaker 2>I am?

0:19:21.560 --> 0:19:23.480
<v Speaker 1>Do you remember when you signed up? Oh?

0:19:23.520 --> 0:19:25.280
<v Speaker 2>God, years ago, years ago?

0:19:25.320 --> 0:19:27.639
<v Speaker 1>Probably the free delivery gotcha easily.

0:19:27.720 --> 0:19:29.879
<v Speaker 2>Yeah, me too, just hauling it prime.

0:19:30.240 --> 0:19:33.320
<v Speaker 1>Yeah, it's like I want to be the prime USDA.

0:19:33.560 --> 0:19:36.600
<v Speaker 1>H yeah, so that's a good thing. Prime. However, the

0:19:36.640 --> 0:19:40.080
<v Speaker 1>Federal Trade Commission is taking Amazon to trial this week

0:19:40.359 --> 0:19:44.320
<v Speaker 1>overclaims they tricked millions of people into signing up for Prime.

0:19:44.359 --> 0:19:46.639
<v Speaker 1>I did it with my eyes open, but apparently millions

0:19:46.640 --> 0:19:49.040
<v Speaker 1>of others did not. And the laws it was actually

0:19:49.040 --> 0:19:52.840
<v Speaker 1>first filed, interestingly during the Biden administration back in twenty

0:19:52.880 --> 0:19:55.560
<v Speaker 1>twenty three, but the trial just started on Monday.

0:19:56.200 --> 0:19:58.560
<v Speaker 2>Why does the FDC think that people were tricked?

0:19:58.880 --> 0:20:00.800
<v Speaker 1>Well, you want to hear from the comp I do.

0:20:01.240 --> 0:20:03.280
<v Speaker 2>I'm not going to read it.

0:20:03.359 --> 0:20:09.240
<v Speaker 1>The complaint filed by the FTC says, quote Amazon used manipulative, coercive,

0:20:09.560 --> 0:20:14.480
<v Speaker 1>or deceptive user interface designs known as dark patterns to

0:20:14.560 --> 0:20:20.240
<v Speaker 1>treat consumers into enrolling and automatically renewing prime subscriptions. Cancline

0:20:20.240 --> 0:20:24.240
<v Speaker 1>subscription was made intentionally more difficult than signing up for one,

0:20:24.680 --> 0:20:28.520
<v Speaker 1>and the complaint calls the cancelation process quote labyrinthine is

0:20:28.560 --> 0:20:30.960
<v Speaker 1>how you say labyrinth thine, labyrinthine.

0:20:31.040 --> 0:20:32.919
<v Speaker 2>I think it's labyrinthine, labyrinthine.

0:20:33.359 --> 0:20:38.640
<v Speaker 1>Get this. Internally at Amazon, the cancelation process was called quote,

0:20:39.040 --> 0:20:43.520
<v Speaker 1>an unspoken cancer, and it was referred to as the

0:20:43.560 --> 0:20:46.760
<v Speaker 1>Iliad flow, as in the Greek epic poem about a

0:20:46.800 --> 0:20:49.800
<v Speaker 1>hero's journey through the protracted Trojan war.

0:20:50.119 --> 0:20:53.800
<v Speaker 4>I love these nerds, That's why, I mean, just internally

0:20:53.840 --> 0:20:54.680
<v Speaker 4>what they call things.

0:20:54.680 --> 0:20:57.240
<v Speaker 2>But what does the Iliad flow entail?

0:20:58.320 --> 0:21:00.720
<v Speaker 1>Well, it kind of entails what you'd do, imagine, which

0:21:00.760 --> 0:21:04.439
<v Speaker 1>is being extremely hard to get from A to B.

0:21:04.640 --> 0:21:06.840
<v Speaker 1>And they knew, and they knew, and they were making

0:21:06.840 --> 0:21:09.560
<v Speaker 1>a joke about it. But specifically, the complaint says that

0:21:09.560 --> 0:21:11.919
<v Speaker 1>in order to go through the process of unsubscribing. On

0:21:11.960 --> 0:21:16.480
<v Speaker 1>the site, customers had to navigate through four pages, six clicks,

0:21:16.600 --> 0:21:19.880
<v Speaker 1>and fifteen various options. And there are also a ton

0:21:19.920 --> 0:21:24.119
<v Speaker 1>of sort of chances along the way to unknowingly stop canceling,

0:21:24.560 --> 0:21:28.840
<v Speaker 1>warnings about losing benefits, promotional offers, all intended to distract

0:21:28.920 --> 0:21:32.879
<v Speaker 1>you or convince you not to cancel. Whereas guess how

0:21:32.920 --> 0:21:34.879
<v Speaker 1>many clicks it takes to sign up for Prime?

0:21:35.200 --> 0:21:35.720
<v Speaker 4>Not a lot.

0:21:37.640 --> 0:21:41.160
<v Speaker 1>I'm actually surprised it wasn't just one, but absolutely Since

0:21:41.200 --> 0:21:44.160
<v Speaker 1>the court filing, Amazon has actually already changed the process.

0:21:44.680 --> 0:21:48.560
<v Speaker 1>There's now a well labeled and easy to understand cancelation page.

0:21:48.960 --> 0:21:50.920
<v Speaker 1>But the outcome of the trial is still worth keeping

0:21:50.920 --> 0:21:53.639
<v Speaker 1>an eye on because it could impact the future of

0:21:53.680 --> 0:21:56.680
<v Speaker 1>canceling subscriptions for all kinds of companies. And it is

0:21:56.880 --> 0:22:01.119
<v Speaker 1>unbelievably hard and annoying to cancel subscriptions. The worst subscription

0:22:01.240 --> 0:22:06.280
<v Speaker 1>cancelation I ever had was the Times Literary supplement We

0:22:06.320 --> 0:22:07.159
<v Speaker 1>had to Call, We Have.

0:22:07.240 --> 0:22:09.080
<v Speaker 2>To Call, which is run by Abacus.

0:22:10.520 --> 0:22:13.560
<v Speaker 4>If I'm not mistaken, it's actually I've watched my mom

0:22:13.600 --> 0:22:15.560
<v Speaker 4>almost being brought to tears by cancelation.

0:22:16.080 --> 0:22:18.280
<v Speaker 2>It's evil. Some of the cancelation.

0:22:17.880 --> 0:22:19.560
<v Speaker 1>Tactes are evil, dark patterns.

0:22:19.640 --> 0:22:24.560
<v Speaker 2>It feels malicious, high listeners.

0:22:24.680 --> 0:22:26.960
<v Speaker 1>This is oz. I wanted to let you know that

0:22:27.000 --> 0:22:30.159
<v Speaker 1>the day after we recorded the episode, there was actually

0:22:30.240 --> 0:22:33.760
<v Speaker 1>an outcome to the trial. Amazon settled with the FTC

0:22:34.000 --> 0:22:37.920
<v Speaker 1>for two point five billion dollars. By settling, they admitted

0:22:38.080 --> 0:22:40.560
<v Speaker 1>no wrongdoing. But we'll keep an eye out on what

0:22:40.600 --> 0:22:45.520
<v Speaker 1>this outcome means for subscription cancelation overall. But now back

0:22:45.560 --> 0:22:53.800
<v Speaker 1>to our episode and our next short headline. How much

0:22:53.840 --> 0:22:55.800
<v Speaker 1>do you know about Albanian politics?

0:22:56.160 --> 0:22:58.640
<v Speaker 2>Literally nothing, which is embarrassing, but nothing.

0:22:58.560 --> 0:23:00.479
<v Speaker 1>Not that embrassing. I've actually been to our not too

0:23:00.520 --> 0:23:04.119
<v Speaker 1>long ago. It's really quite a fascinating country that's had

0:23:04.119 --> 0:23:08.600
<v Speaker 1>a meteoric rise post communism. It's in this very strategic

0:23:08.640 --> 0:23:11.600
<v Speaker 1>location between East and West, and so you know, the

0:23:11.960 --> 0:23:14.840
<v Speaker 1>US and Europeans are quite supportive. But there's also terrible

0:23:14.840 --> 0:23:17.639
<v Speaker 1>problems with organized crime. And actually a lot of the

0:23:18.040 --> 0:23:22.600
<v Speaker 1>drug trafficking through the port of Rotterdam from South America

0:23:22.720 --> 0:23:28.320
<v Speaker 1>is controlled by Albanian organized crime. And recently Albania became

0:23:28.359 --> 0:23:31.040
<v Speaker 1>the first country in the world to appoint an AI

0:23:31.240 --> 0:23:32.960
<v Speaker 1>generated government minister.

0:23:33.200 --> 0:23:34.040
<v Speaker 2>How does that work?

0:23:35.119 --> 0:23:39.680
<v Speaker 1>Good question? I'll start with her name, Della, which means

0:23:39.760 --> 0:23:43.440
<v Speaker 1>sun in Albania. That's Della has actually been around since January.

0:23:44.080 --> 0:23:47.640
<v Speaker 1>She started life as an AI assistant designed to help

0:23:47.680 --> 0:23:50.000
<v Speaker 1>people navigate online government services.

0:23:50.080 --> 0:23:52.040
<v Speaker 2>So she's actually worked her.

0:23:52.720 --> 0:23:57.159
<v Speaker 1>This is this is a real uh yeah, brags to

0:23:57.240 --> 0:24:02.840
<v Speaker 1>Rich's journey for Della. She has reached promoted to cabinet

0:24:02.840 --> 0:24:07.120
<v Speaker 1>minister in charge of public procurement. Essentially, she'll be analyzing

0:24:07.200 --> 0:24:10.440
<v Speaker 1>government contracts for corruption. Would you like to meet her?

0:24:10.560 --> 0:24:13.160
<v Speaker 2>But I'm dying to meet her. Also, this feels ripe

0:24:13.240 --> 0:24:13.840
<v Speaker 2>for corruption.

0:24:14.200 --> 0:24:16.400
<v Speaker 1>Well we'll get We'll get to that in a minute,

0:24:16.440 --> 0:24:18.080
<v Speaker 1>but first, here's d'ella.

0:24:18.160 --> 0:24:23.199
<v Speaker 3>The samoanchuitor Anti coustets I Kim Kalandur.

0:24:25.000 --> 0:24:27.080
<v Speaker 2>So this is an AI generated person that I'm looking at.

0:24:27.320 --> 0:24:31.480
<v Speaker 1>This is an AI generated person wearing traditional Albanian dress

0:24:31.960 --> 0:24:35.320
<v Speaker 1>against the backdrop of the Albanian flag and the EU.

0:24:35.119 --> 0:24:37.320
<v Speaker 2>Flag its state sponsor TV.

0:24:38.280 --> 0:24:41.200
<v Speaker 1>She's talking in Albanian, but luckily there are subtitles. She says,

0:24:41.720 --> 0:24:45.320
<v Speaker 1>some have labeled me unconstitutional because I'm not a human being.

0:24:45.760 --> 0:24:49.359
<v Speaker 1>That hurt me, not for myself, but for the nine

0:24:49.440 --> 0:24:53.080
<v Speaker 1>hundred and seventy two thousand interactions I had with citizens

0:24:53.080 --> 0:24:58.240
<v Speaker 1>whom I served as part of E Albania ABBE. This

0:24:58.280 --> 0:25:02.359
<v Speaker 1>is well, that's the beginning of her career when she

0:25:02.440 --> 0:25:05.840
<v Speaker 1>was bootstrapping, Yeah, exactly. She emphasized that as an AI

0:25:06.160 --> 0:25:09.320
<v Speaker 1>she has no ambitions or personal interests, which makes her

0:25:09.400 --> 0:25:12.480
<v Speaker 1>perfectly suited to the job of making sure government contracts

0:25:12.560 --> 0:25:16.520
<v Speaker 1>impartial and corruption free. The Prime Minister of Albania, Eddie Ramer,

0:25:17.000 --> 0:25:20.560
<v Speaker 1>said Diella would help make Albania quote a country where

0:25:20.600 --> 0:25:27.360
<v Speaker 1>public tenders are one hundred percent free of corruption, one

0:25:27.600 --> 0:25:31.359
<v Speaker 1>hundred percent free of corruption. I methinks the Prime Minister

0:25:31.400 --> 0:25:36.760
<v Speaker 1>does protest too much, and some citizens of Albania are

0:25:36.840 --> 0:25:41.400
<v Speaker 1>also quite dubious. One Facebook user quote in The Guardian said,

0:25:42.040 --> 0:25:44.800
<v Speaker 1>in Albania, even Diella will be corrupted.

0:25:44.960 --> 0:25:48.120
<v Speaker 4>I mean talk about AI hallucination, AI corruption, I think

0:25:48.200 --> 0:25:50.399
<v Speaker 4>is the next frontier. You know, it's funny that you

0:25:50.440 --> 0:25:52.720
<v Speaker 4>bring this up, because my next headline is also about

0:25:52.720 --> 0:25:56.199
<v Speaker 4>state sponsored AI. I read this article in four or

0:25:56.200 --> 0:25:59.880
<v Speaker 4>four media about a news satire show which recently premiered

0:26:00.040 --> 0:26:04.040
<v Speaker 4>on Russian state TV, and it's apparently all AI generated.

0:26:04.320 --> 0:26:08.800
<v Speaker 1>So what does state funded political AI slop entail?

0:26:09.320 --> 0:26:12.919
<v Speaker 4>So, according to ads for the show. They've got a

0:26:13.000 --> 0:26:17.639
<v Speaker 4>neural network deciding the content and topics for each episode,

0:26:17.800 --> 0:26:22.159
<v Speaker 4>and then that same neural network uses AI to generate video.

0:26:22.520 --> 0:26:25.600
<v Speaker 4>So it's been creating content like, you know, amazing stuff

0:26:25.640 --> 0:26:29.320
<v Speaker 4>like President Trump singing songs, French President Emmanuel Macron wearing

0:26:29.359 --> 0:26:32.359
<v Speaker 4>hair curlers and a pink robe. An ad for the

0:26:32.359 --> 0:26:36.400
<v Speaker 4>show claims, quote the editorial team's opinion may not coincide

0:26:36.400 --> 0:26:38.920
<v Speaker 4>with the AIS, though usually it does.

0:26:39.119 --> 0:26:42.840
<v Speaker 1>Do you think that's it has to be?

0:26:43.320 --> 0:26:45.720
<v Speaker 4>Poll It Stacker, which is the name of the show,

0:26:45.840 --> 0:26:49.040
<v Speaker 4>is not just news but a tough breakdown of political

0:26:49.119 --> 0:26:52.720
<v Speaker 4>madness from a digital host who notices what others overlook.

0:26:53.200 --> 0:26:56.480
<v Speaker 4>Russia's Ministry of Defense actually owns the TV channel where

0:26:56.480 --> 0:26:56.959
<v Speaker 4>it airs.

0:26:57.359 --> 0:26:59.679
<v Speaker 1>I'm curious about this this show though, I mean it

0:26:59.760 --> 0:27:02.720
<v Speaker 1>like obvious that it's made by AI. How does the

0:27:02.760 --> 0:27:04.119
<v Speaker 1>AI show up in the show?

0:27:04.440 --> 0:27:09.200
<v Speaker 4>Well, there's a data scientist named Kalev Letaru from Georgetown.

0:27:09.240 --> 0:27:12.080
<v Speaker 4>He's the one who found the show originally, and he says,

0:27:12.080 --> 0:27:14.800
<v Speaker 4>at times, if you don't know it was AI, you

0:27:14.880 --> 0:27:17.280
<v Speaker 4>might never guess that it looks a lot like other

0:27:17.359 --> 0:27:20.720
<v Speaker 4>Russian propaganda. And he says further, if they are using

0:27:20.800 --> 0:27:23.000
<v Speaker 4>AI to the degree that they say they are, even

0:27:23.040 --> 0:27:25.800
<v Speaker 4>if it's just to pick topics. They mastered that formula

0:27:25.880 --> 0:27:27.840
<v Speaker 4>in a way that others have not. You know, there

0:27:27.880 --> 0:27:31.120
<v Speaker 4>are parts that are unmistakable AI, like deep fake interviews

0:27:31.119 --> 0:27:33.840
<v Speaker 4>with world leaders. In one of those interviews, Trump says

0:27:34.280 --> 0:27:37.400
<v Speaker 4>he'll end the Russia Ukraine war by building a casino

0:27:37.440 --> 0:27:40.879
<v Speaker 4>in Moscow with golden toilets. But the AI seems to

0:27:40.920 --> 0:27:44.040
<v Speaker 4>have Trump's pattern of speech down pretty well. To quote

0:27:44.119 --> 0:27:46.800
<v Speaker 4>him in one of these videos, all the Russian oligarchs,

0:27:46.960 --> 0:27:50.000
<v Speaker 4>they would all be inside, all their money would be inside.

0:27:50.160 --> 0:27:50.959
<v Speaker 2>Problem solved.

0:27:51.000 --> 0:27:53.400
<v Speaker 4>They would just play poker and forget about the whole war.

0:27:53.960 --> 0:27:56.399
<v Speaker 4>A very bad deal for them, very distracting.

0:27:58.080 --> 0:28:02.280
<v Speaker 1>It's funny, you know, big fears when when gerative AI

0:28:02.440 --> 0:28:05.960
<v Speaker 1>really took off, that we would all be tricked and

0:28:06.080 --> 0:28:09.600
<v Speaker 1>transfixed by deep fakes of world leaders and you know,

0:28:09.640 --> 0:28:14.720
<v Speaker 1>political events would be dictated by fake media. Instead, what

0:28:14.800 --> 0:28:17.280
<v Speaker 1>seems to have happened is that deep fakes have kind

0:28:17.320 --> 0:28:21.760
<v Speaker 1>of evolved the medium of the meme. Like instead of

0:28:21.800 --> 0:28:24.360
<v Speaker 1>a meme, now you kind of create a deep fake

0:28:24.400 --> 0:28:26.320
<v Speaker 1>scenario of the thing you're trying to make fun of

0:28:26.359 --> 0:28:29.080
<v Speaker 1>and it's funny that, you know, Trump is talking about

0:28:29.240 --> 0:28:34.280
<v Speaker 1>building a casino in Moscow in this Russian satire AI show,

0:28:34.720 --> 0:28:39.200
<v Speaker 1>because on Trump's own AI satire social media channels, he's

0:28:39.320 --> 0:28:44.960
<v Speaker 1>making content about turning Gaza into a riviera. So there's

0:28:44.960 --> 0:28:49.440
<v Speaker 1>a funny like you know, doubleness here where it's odd

0:28:49.480 --> 0:28:54.000
<v Speaker 1>that the primary expression of deep fake content right now

0:28:54.160 --> 0:29:08.120
<v Speaker 1>is political satire. And now it's time for our final

0:29:08.200 --> 0:29:12.040
<v Speaker 1>segment of the day, Chat and Me. Today's submission is

0:29:12.080 --> 0:29:15.160
<v Speaker 1>from Jeremy, who is an early adopter of Chat GPT,

0:29:15.800 --> 0:29:19.240
<v Speaker 1>a self described chat evangelist, and of course a tech

0:29:19.280 --> 0:29:19.959
<v Speaker 1>stuff listener.

0:29:20.520 --> 0:29:23.000
<v Speaker 4>I like anyone who's a self described tex stuff listener.

0:29:23.080 --> 0:29:26.200
<v Speaker 1>I like anyone who text stuff listener, not self described

0:29:26.240 --> 0:29:26.600
<v Speaker 1>thank you.

0:29:26.920 --> 0:29:30.200
<v Speaker 4>So, while Jeremy uses Chat for all sorts of tasks,

0:29:30.200 --> 0:29:33.440
<v Speaker 4>there's one in particular that he thinks is of note.

0:29:33.840 --> 0:29:36.880
<v Speaker 3>One of the biggest ways it helps me. It's like

0:29:37.040 --> 0:29:40.600
<v Speaker 3>health tracking both me and my dog. Actually, what I

0:29:40.640 --> 0:29:45.240
<v Speaker 3>do is I log my Apple Watch stats after hikes, workouts,

0:29:45.360 --> 0:29:48.360
<v Speaker 3>and then I upload that information into chat GBT and

0:29:48.400 --> 0:29:50.720
<v Speaker 3>it just breaks those numbers down in a way that

0:29:50.840 --> 0:29:53.080
<v Speaker 3>actually makes sense to me. So I can kind of

0:29:53.120 --> 0:29:54.800
<v Speaker 3>see my progress over time.

0:29:55.480 --> 0:29:57.920
<v Speaker 4>There is a plot twist coming. Jeremy doesn't just track

0:29:58.000 --> 0:30:01.200
<v Speaker 4>his workouts. He also tracks his food with the help

0:30:01.200 --> 0:30:04.680
<v Speaker 4>of chat GPT, and he actually is a really powerful incentive.

0:30:04.880 --> 0:30:08.400
<v Speaker 3>I was recently diagnosed with pre diabetes, so I'm trying

0:30:08.400 --> 0:30:10.280
<v Speaker 3>to kind of be a little more careful what I eat.

0:30:10.680 --> 0:30:13.920
<v Speaker 3>Instead of just guessing what I eat and the nutritional

0:30:14.000 --> 0:30:18.800
<v Speaker 3>value of information, I basically just log my daily foods.

0:30:18.880 --> 0:30:21.320
<v Speaker 3>Whatever I eat, I take a picture of what I eat,

0:30:21.560 --> 0:30:24.480
<v Speaker 3>and I just uploaded the chat GPT and it kind

0:30:24.480 --> 0:30:28.360
<v Speaker 3>of just breaks all their down. You know, the calorie corp, sugar,

0:30:28.400 --> 0:30:29.400
<v Speaker 3>protein are there.

0:30:29.640 --> 0:30:31.960
<v Speaker 1>You know, I can imagine if you're dealing with a

0:30:32.000 --> 0:30:35.560
<v Speaker 1>diagnosis like pre diabetes, not only do you have to

0:30:35.600 --> 0:30:39.520
<v Speaker 1>come to terms with this new health reality emotionally, you

0:30:39.600 --> 0:30:42.840
<v Speaker 1>also very practically have to build a new routine that

0:30:42.880 --> 0:30:46.760
<v Speaker 1>takes into account all kinds of new health priorities. You know, obviously,

0:30:46.840 --> 0:30:49.680
<v Speaker 1>the doctors can give you strict guidelines about what to

0:30:49.760 --> 0:30:52.480
<v Speaker 1>do in order to make sure your blood sugar levels

0:30:52.480 --> 0:30:55.800
<v Speaker 1>don't spike in terms of proteins and fats and carbohydrates.

0:30:55.880 --> 0:30:59.560
<v Speaker 1>But actually what Jeremy's doing is translating that into real life,

0:31:00.120 --> 0:31:03.440
<v Speaker 1>seeing what chatchpt says about it and how that may

0:31:03.760 --> 0:31:06.600
<v Speaker 1>track with the guidelines he's trying to follow. We've talked

0:31:06.640 --> 0:31:11.280
<v Speaker 1>a lot about medicine and AI, and the classic is

0:31:11.320 --> 0:31:16.240
<v Speaker 1>always like, can the AI outdiagnose a doctor, which in

0:31:16.280 --> 0:31:18.800
<v Speaker 1>many cases it seems like it can, but the majority

0:31:18.800 --> 0:31:23.440
<v Speaker 1>of medicine is not really diagnosis. It's actually preventative health

0:31:23.680 --> 0:31:29.040
<v Speaker 1>and patient compliance with doctor's recommendations and stuff. And so

0:31:29.080 --> 0:31:31.360
<v Speaker 1>this is actually the first I really heard of not

0:31:31.520 --> 0:31:34.240
<v Speaker 1>using AI so much just to diagnose an illness, but

0:31:34.320 --> 0:31:36.720
<v Speaker 1>actually to turn it into a tool to help manage

0:31:36.720 --> 0:31:38.120
<v Speaker 1>your condition. And I think it's pretty cool.

0:31:38.200 --> 0:31:41.719
<v Speaker 4>Yeah, it's a little bit like your medical concierge that

0:31:41.840 --> 0:31:43.840
<v Speaker 4>leaves the doctor's office with you exactly.

0:31:43.880 --> 0:31:43.960
<v Speaker 3>That.

0:31:44.680 --> 0:31:47.480
<v Speaker 1>Don't forget. We want to hear from you, our listeners,

0:31:47.840 --> 0:31:51.760
<v Speaker 1>so please send your chat stories to our inbox tech

0:31:51.800 --> 0:32:00.600
<v Speaker 1>Stuff podcast at gmail dot com.

0:32:00.720 --> 0:32:02.320
<v Speaker 2>That's it for this week for Tech Stuff.

0:32:02.320 --> 0:32:05.520
<v Speaker 1>I'm Kara Price and I'm os Voloshin. This episode was

0:32:05.520 --> 0:32:09.520
<v Speaker 1>produced by Eliza Dennis Tyler Hill and Melissa Slaughter. It

0:32:09.560 --> 0:32:12.640
<v Speaker 1>was executive produced by me Kara Price and Kate Osborne

0:32:12.640 --> 0:32:17.640
<v Speaker 1>for Kaleidoscope and Katrina Norvel for iHeart Podcasts. The Engineer

0:32:17.680 --> 0:32:21.360
<v Speaker 1>is Beheit. Fraser and Jack Insley mixed this episode. Kyle

0:32:21.440 --> 0:32:22.680
<v Speaker 1>Murdoch wrote out theme song.

0:32:23.160 --> 0:32:25.800
<v Speaker 4>Join us next Wednesday for Textuff the Story for a

0:32:25.840 --> 0:32:28.760
<v Speaker 4>look at a beloved American industry that is benefiting and

0:32:28.800 --> 0:32:31.680
<v Speaker 4>being destroyed by AI Hollywood.

0:32:32.240 --> 0:32:35.080
<v Speaker 1>Please rate and review the show wherever you listen to podcasts,

0:32:35.160 --> 0:32:37.680
<v Speaker 1>and reach out to us at tech Stuff podcast at

0:32:37.680 --> 0:32:39.719
<v Speaker 1>gmail dot com. We love hearing from you.