WEBVTT - Week in Tech: Anti-Party Tech, Rigged Card Shufflers and ‘Mad Max’ Mode

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

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<v Speaker 1>as Voloshian and I'm care price. Today we get into

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<v Speaker 1>gadget filled gambling dens ai that refuses to die, and

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<v Speaker 1>tech bros going on to the.

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<v Speaker 2>Knife, then on chatting me it doesn't work well enough

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<v Speaker 2>to be dystopian like, the technology is simply not even there.

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<v Speaker 3>All of that on the weekend Tech. It's Friday, Halloween,

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<v Speaker 3>October thirty first.

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<v Speaker 1>Hello, Cara, are you feeling spooky?

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<v Speaker 3>I'm feeling the rush of fall wind.

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<v Speaker 1>And yes, it could be a ghost.

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<v Speaker 3>It could be a ghost.

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<v Speaker 1>It could what's the spookiest music? I was sinking trying

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<v Speaker 1>to think of, humm, spooky mousy.

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<v Speaker 3>Below I know Bernard Herman Psycho.

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<v Speaker 1>I was thinking, has Harry Potter though, that's Harry Potter.

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<v Speaker 3>That's spooky for some people. That's gothic.

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<v Speaker 1>So it's Halloween.

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<v Speaker 3>It is Halloween.

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<v Speaker 1>Are you going to a party?

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<v Speaker 4>I am.

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<v Speaker 3>I'm going to a party at a friend's house and

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<v Speaker 3>it's going to be very festive and I'm going to

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<v Speaker 3>dress up as the niche influencer and fitness extraordinary Tracy

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<v Speaker 3>hertstones Anderson.

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<v Speaker 1>Now do you pull the Tracy Anderson costume out every

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<v Speaker 1>year or is this one on?

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<v Speaker 3>No? For those who follow me on Instagram, they know

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<v Speaker 3>that I had a brief stint with Tracy Anderson and

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<v Speaker 3>she's a very particular luke as the kids say. And

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<v Speaker 3>so I'm going to dress up as her.

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<v Speaker 1>And you're going to a house party?

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<v Speaker 3>Yes, a house party.

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<v Speaker 1>Is it a house that belongs to a person?

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<v Speaker 3>Yes?

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<v Speaker 1>Or is it an abnb house?

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<v Speaker 3>That is a very good question. It is a house

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<v Speaker 3>that belongs to a person.

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<v Speaker 1>Well, that's good news because probably if it was an

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<v Speaker 1>Airbnb houseb's technology stack or have successfully mixed the reservation

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<v Speaker 1>real say more so. Airbnb released a press release this

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<v Speaker 1>week about it's quote unquote anti party technology, anti party tech.

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<v Speaker 1>Anti party tech A parent should have anti party tech.

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<v Speaker 1>So basically, according to their press relief, they have quote

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<v Speaker 1>a proprietary system that uses machine learning to analyze attempted

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<v Speaker 1>bookings of entire homes over the Halloween weekend looking for

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<v Speaker 1>signs of potential party risk.

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<v Speaker 3>They're like looking someone looking for nine beds and seventeen bedrooms.

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<v Speaker 1>Yeah, exactly. So basically the algorithm is are they looking

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<v Speaker 1>for whole places and do they live within one mile

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<v Speaker 1>of the huge house they're trying to book in, which

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<v Speaker 1>casod one they're out.

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<v Speaker 3>Yeah, they're trying to do a party. That's so funny.

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<v Speaker 1>Some Nbnb's also use this technology called minute nut.

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<v Speaker 3>I've heard of Minute you have, Yeah, I think I've

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<v Speaker 3>seen ads for it.

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<v Speaker 1>It's basically a audio monitor like a kid monitor. It

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<v Speaker 1>doesn't record the actual sounds, but it gives a notification

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<v Speaker 1>to the homeowner about the decibel level. And Airbnb kind

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<v Speaker 1>of encourage their homeowners to use it if they're worried,

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<v Speaker 1>but the homeowner also has to disclose to the rent

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<v Speaker 1>just surveil people exactly.

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<v Speaker 3>So basically they're saying, we're using minute technology. If you're

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<v Speaker 3>going to be loud, we're going to catch You're going

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<v Speaker 3>to a notification. Fascinating.

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<v Speaker 1>But one of the things they do is they don't

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<v Speaker 1>just nix you. They suggest that instead you rent a

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<v Speaker 1>private room in somebody's house where the host actually lives.

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<v Speaker 1>There are you doing? I used to do that, I'm

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<v Speaker 1>now I think I have outgrown it. But do you

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<v Speaker 1>know how many bookings in twenty twenty four were mixed

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<v Speaker 1>by airbmb over Halloween weekend?

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<v Speaker 3>How many?

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<v Speaker 1>Thirty eight thousand.

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<v Speaker 3>What because they were like, this is someone throwing a

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<v Speaker 3>Halloween party, fascinating that it is amazing that they can

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<v Speaker 3>regulate that.

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<v Speaker 1>It is, I mean, and the idea of making a

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<v Speaker 1>tech application to weed out a breakers and who are

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<v Speaker 1>trying to rent Halloween houses, it's pretty funny. Well, Karl,

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<v Speaker 1>speaking of parties, how do you respond if someone invited

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<v Speaker 1>you to a game of poker with characters like Spanish

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<v Speaker 1>g Flappy, Spook, Pooky, and Sugar.

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<v Speaker 3>I don't even play poker. I'd be like, yes, Spooky, Spooky,

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<v Speaker 3>Spanish Gy.

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<v Speaker 1>Some of the guests at these parties were allegedly NBA

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<v Speaker 1>coaches and players. Now, as we're talking, obviously it's important

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<v Speaker 1>to remember that all of these people who have been

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<v Speaker 1>indicted have not been convicted. This is just an allegation

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<v Speaker 1>for now.

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<v Speaker 3>This was an online poker game.

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<v Speaker 1>No, this is a real, real live poker game where,

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<v Speaker 1>according to the US Justice Department, people were being bilked

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<v Speaker 1>out of their money, lured by the promise of NBA

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<v Speaker 1>players being there, and cheated using technology.

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<v Speaker 3>So tell me how they were cheated using technology.

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<v Speaker 1>Well, I'll get onto that, but first, so, this indictment

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<v Speaker 1>was unsealed the US Justice Department named thirty one defendants,

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<v Speaker 1>including Portland Trailblazers coach Chauncey Billups, former player and assistant

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<v Speaker 1>coach Damon Jones, and members of the Banano, Gambino, Genovese

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<v Speaker 1>and Lucez crime family. They had the Cecilia, I had

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<v Speaker 1>the Sicilian. I didn't know these guys were still this.

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<v Speaker 3>They play in horses, they play in cards, they play

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<v Speaker 3>every we still have it sports rackets. Yeah.

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<v Speaker 1>So this scam allegedly involves a high stakes poker game

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<v Speaker 1>that floated from New York to the Hamptons to Miami.

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<v Speaker 1>Victims of the scheme were known as fish and they

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<v Speaker 1>lost tens of thousands to hundreds of thousands of dollars,

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<v Speaker 1>and according to prosecutors, this scheme allegedly netted more than

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<v Speaker 1>seven million dollars over five years.

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<v Speaker 3>Oh my god, just by people thinking that they were

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<v Speaker 3>going to play with famous people.

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<v Speaker 1>Yeah, that's crazy. So you want to hear the indictment.

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<v Speaker 1>In the words of Joseph Nocella Junior, the interim U

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<v Speaker 1>S Attorney, part of.

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<v Speaker 3>The Genera crime family, which sounds like he is.

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<v Speaker 4>But my message to the defendants who have been rounded

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<v Speaker 4>up today is this. Your winning streak has ended. Your

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<v Speaker 4>luck has run out. Violating the law is a losing proposition,

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<v Speaker 4>and you can bet on that.

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<v Speaker 1>You think he used chat He used chat chip to

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<v Speaker 1>generate the puns.

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<v Speaker 3>I think so he was like, give me puns for

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<v Speaker 3>an indictment using bad puns.

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<v Speaker 1>You can bet on that.

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<v Speaker 3>So where does the technology come in?

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<v Speaker 1>So basically according to the indictment, there are special contact

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<v Speaker 1>lenses or eye glasses that can read pre marked cards.

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<v Speaker 3>Oh, this is very am I impossible.

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<v Speaker 1>There are X ray tables that can identify what cards

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<v Speaker 1>align face down on the table. And there are nano

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<v Speaker 1>cameras on the poker chip trays where the tray itself

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<v Speaker 1>can see the cards using a hidden camera.

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<v Speaker 3>So the people putting on the poker game or cheating, the.

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<v Speaker 1>People putting on the Peter Piper Pepper, the people putting

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<v Speaker 1>on the poker game are indeed cheating, so they are

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<v Speaker 1>scamming the clients.

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<v Speaker 3>Fascinating.

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<v Speaker 1>The main piece of tech used is something called the

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<v Speaker 1>deck mate too.

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<v Speaker 3>Oh, definitely, and what is that?

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<v Speaker 1>The deck mate is a machine that shuffles a deck

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<v Speaker 1>in seconds, and an internal computer guarantees that the deck

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<v Speaker 1>is randomly generated and also has crucially a camera inside

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<v Speaker 1>to observe the cards, which is technically a security measure

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<v Speaker 1>to make sure that every card is in the deck.

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<v Speaker 3>This is very James Bond. This is why you like

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<v Speaker 3>this story. This is extremely James Bond. And Ocean's eleven.

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<v Speaker 1>Deck Mate is theoretically only allowed to be sold to

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<v Speaker 1>casinos and regulated, you know, betting environments where there's some

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<v Speaker 1>checks and balances to make sure that nobody is using

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<v Speaker 1>the internal camera for their own purposes. But of course

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<v Speaker 1>you can buy them secondhand. And what the indictment suggests

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<v Speaker 1>is that the security camera inside this machine is actually

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<v Speaker 1>a classic example of dual use. Technology is put inside

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<v Speaker 1>the machine in order to guarantee the safety and accountability

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<v Speaker 1>a card game, but in the wrong hands, it becomes

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<v Speaker 1>an incredibly effective way at cheating because it knows which

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<v Speaker 1>card is in every single player's hand.

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<v Speaker 3>Unbelievable.

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<v Speaker 1>Basically, the information from the machine from the deck mate

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<v Speaker 1>is a transmitted off site to an operator who can

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<v Speaker 1>essentially watch the video and then, somehow it wasn't announced

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<v Speaker 1>how in the indictment, the operator relays the information to

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<v Speaker 1>the quarterback who's at the table. The quarterback then uses

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<v Speaker 1>hand signals, stroking a beard, touching a chip, etc. To

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<v Speaker 1>let the other scammers who are also players at the

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<v Speaker 1>table know which of the regular people has the best hand.

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<v Speaker 1>Oh my god, I mean it's like a movie.

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<v Speaker 3>Yeah, it's very much like a movie.

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<v Speaker 1>The other things interesting to me is that they were

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<v Speaker 1>communicating in the background about how much to gut the fish.

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<v Speaker 3>One guy takes only people who are none the wiser

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<v Speaker 3>at the fish.

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<v Speaker 1>The lot of the fish. The one guy texted in

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<v Speaker 1>the group, guys, please let him win a hand. He's

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<v Speaker 1>in for forty k in forty minutes, and he'll leave

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<v Speaker 1>if he gets no attraction.

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<v Speaker 3>I'm slapping my knee.

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<v Speaker 1>You got it, because you've got to keep him. It's

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<v Speaker 1>like an app like Instagram. You've got to figure out

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<v Speaker 1>how to make it just pleasurable enough for them for

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<v Speaker 1>them to stay. This is a lot of work, sent

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<v Speaker 1>a lot of money.

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<v Speaker 3>A lot of money. So most of this technology is

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<v Speaker 3>used actually to protect well from cheating.

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<v Speaker 1>Certainly the deck mate was designed to protect from cheating.

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<v Speaker 1>The contact lenses and the X ray table and stuff,

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<v Speaker 1>those seem to be more like single use technologies to me.

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<v Speaker 3>Yeah, yeah, yeah.

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<v Speaker 1>Earlier this year, you sent me a Bloomberg piece by

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<v Speaker 1>Kit Chalel.

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<v Speaker 3>Yes, I did.

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<v Speaker 1>It was about a Siberian group who had figured out

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<v Speaker 1>how to develop their own algorithm to win at poker online. Basically,

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<v Speaker 1>every time you did a great interview, thank you well,

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<v Speaker 1>you send me a great story. I a Kit, what

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<v Speaker 1>is so fascinating to us about the Yes, here's what

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<v Speaker 1>he said.

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<v Speaker 5>I think people recognize what it feels like to play

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<v Speaker 5>a rigged game. It's like modern capitalism encapsulated in a

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<v Speaker 5>kind of easily understandable format, in a relatable format. Most

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<v Speaker 5>people know what it feels like to spend your whole

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<v Speaker 5>life trying to play a game fairly and still lose,

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<v Speaker 5>whether it's your job, whether it's your love life. This

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<v Speaker 5>feeling that the world that the cards are kind of

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<v Speaker 5>against you, I think is very familiar, and that the

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<v Speaker 5>house that casino has, you know, becomes sort of metaphor

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<v Speaker 5>for entrenched wealth and power that basically makes the rules,

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<v Speaker 5>changes the rules, and acts for its own benefit in

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<v Speaker 5>a way that's very unfair for the majority of people.

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<v Speaker 5>I think that's that's undeniably true of the gambling Business's.

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<v Speaker 3>Fun to play the house. It's fun to play the house,

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<v Speaker 3>even when you're this is like the Broken House. It's interesting.

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<v Speaker 3>I really appreciate you bringing me a not AI centered

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<v Speaker 3>story and just a technology story. But I happen to

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<v Speaker 3>have an AI centric story for you. And it comes

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<v Speaker 3>from a Wired piece called the End of Accents.

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<v Speaker 1>The End of accents?

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<v Speaker 3>That's right? And what do you have?

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<v Speaker 1>I have an accent? What do I have in this country?

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<v Speaker 1>You don't have one, but.

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<v Speaker 3>I do have an accent. I think there's something that

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<v Speaker 3>is very universal about understanding the hierarchy of accents from

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<v Speaker 3>wherever when, wherever you live. In America, it's sort of

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<v Speaker 3>the gold standard to not have an accent at all.

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<v Speaker 3>If you have an accent, it's regional. But you know,

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<v Speaker 3>there is just inherently a judgment that is passed. And

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<v Speaker 3>I'm sure the same is true in the I mean,

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<v Speaker 3>you know about Pasha accents.

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<v Speaker 1>I do, But why is the story and why it

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<v Speaker 1>There was a.

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<v Speaker 3>Piece in Wired written by a Korean writer who has

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<v Speaker 3>been living in America for over a decade and his

0:11:57.240 --> 0:12:01.960
<v Speaker 3>name is Sean Han, and he actually had an AI

0:12:02.160 --> 0:12:06.080
<v Speaker 3>driven American accent training app marketed to him in his

0:12:06.160 --> 0:12:09.720
<v Speaker 3>own Instagram and the app is called Bold.

0:12:09.520 --> 0:12:11.480
<v Speaker 1>Voice, an accent training app.

0:12:11.640 --> 0:12:13.920
<v Speaker 3>That's right, it's sort of. The minute I saw it,

0:12:13.960 --> 0:12:15.240
<v Speaker 3>I was like, we have to do this story just

0:12:15.280 --> 0:12:17.840
<v Speaker 3>because I wanted to try it, and I actually signed

0:12:17.880 --> 0:12:19.400
<v Speaker 3>up for it yesterday, and I want you to try

0:12:19.520 --> 0:12:20.640
<v Speaker 3>you would you try it?

0:12:20.679 --> 0:12:21.400
<v Speaker 1>I would? Okay?

0:12:21.840 --> 0:12:25.040
<v Speaker 3>Right, so Oz, I'm going to hand this to you

0:12:25.120 --> 0:12:27.200
<v Speaker 3>right now, and you're going to go through the assessment.

0:12:27.240 --> 0:12:29.000
<v Speaker 3>It's going to do something called speech scan.

0:12:29.200 --> 0:12:30.559
<v Speaker 1>You mean hopefully it changed my accent.

0:12:30.600 --> 0:12:32.000
<v Speaker 3>That's right, Well we'll see what happens.

0:12:32.480 --> 0:12:34.800
<v Speaker 6>Tap the record button and read the sentence below.

0:12:35.080 --> 0:12:37.800
<v Speaker 1>I made three sugar cookies and a great fig cake.

0:12:39.440 --> 0:12:42.600
<v Speaker 6>Nice job. I'll show your results at the end. Tap

0:12:42.679 --> 0:12:45.520
<v Speaker 6>next to continue. Now try this next sentence.

0:12:46.200 --> 0:12:48.880
<v Speaker 1>She's super thankful for the beautiful birthday flowers.

0:12:50.280 --> 0:12:50.880
<v Speaker 6>Nice work.

0:12:51.320 --> 0:12:54.040
<v Speaker 1>Did the thin lady purchase those yellow running shoes?

0:12:55.920 --> 0:12:57.240
<v Speaker 6>You're making great progress.

0:12:57.640 --> 0:12:59.880
<v Speaker 1>The daughter is cooking an a healthy dinner at home.

0:13:00.960 --> 0:13:01.679
<v Speaker 6>Well done.

0:13:01.880 --> 0:13:06.120
<v Speaker 1>No, don't put those things above the bathroom sync excellent.

0:13:06.480 --> 0:13:09.400
<v Speaker 6>Your speech scan is complete. Ready to see your results.

0:13:11.280 --> 0:13:15.280
<v Speaker 6>You sound good at your level. Native speakers easily understand you,

0:13:15.600 --> 0:13:18.959
<v Speaker 6>but might hear a slight accent. Together, will work to

0:13:19.000 --> 0:13:21.520
<v Speaker 6>get to a native level. Let's take a look at

0:13:21.559 --> 0:13:24.920
<v Speaker 6>your top three strengths. Excellent work on these sounds.

0:13:25.520 --> 0:13:28.800
<v Speaker 1>It's saying er, cut and E. I'm really good at

0:13:28.880 --> 0:13:33.400
<v Speaker 1>so I can pronounce the amazing thankful correctly. I can

0:13:33.440 --> 0:13:36.679
<v Speaker 1>easily say looking, book and thankful, and I'm good at

0:13:36.720 --> 0:13:39.760
<v Speaker 1>A like days, days and great. Oh I only get

0:13:39.800 --> 0:13:43.120
<v Speaker 1>sixty three percent for er because I say sugar theater

0:13:43.480 --> 0:13:47.320
<v Speaker 1>R instead of sugar theater and R. I also mispronounce

0:13:47.880 --> 0:13:53.240
<v Speaker 1>E as E, so cooking and amazing rather than cooking

0:13:53.400 --> 0:13:54.119
<v Speaker 1>and amazing.

0:13:54.360 --> 0:13:56.440
<v Speaker 3>We'll be practicing very good job.

0:13:56.679 --> 0:13:59.079
<v Speaker 1>So this is basically what this would help me iron

0:13:59.120 --> 0:14:01.400
<v Speaker 1>out my British acts and become fully American.

0:14:01.600 --> 0:14:03.600
<v Speaker 3>Right if you'd want to do.

0:14:03.520 --> 0:14:05.559
<v Speaker 1>That, well, you know, I've been here for a long time,

0:14:05.720 --> 0:14:09.000
<v Speaker 1>that's true, and I still sound English. But I think

0:14:09.160 --> 0:14:13.040
<v Speaker 1>probably those phonemes they're measuring I have actually Americanized, because

0:14:13.040 --> 0:14:14.880
<v Speaker 1>sometimes when I'm in England people else who are I'm from?

0:14:15.120 --> 0:14:18.959
<v Speaker 3>Oh? Really? So now it's you have Americanized English.

0:14:19.160 --> 0:14:21.200
<v Speaker 1>Not I mean, not fully, but I think a few

0:14:21.200 --> 0:14:24.200
<v Speaker 1>of those like what water like? I still say water,

0:14:24.320 --> 0:14:25.320
<v Speaker 1>but like are there.

0:14:25.440 --> 0:14:27.080
<v Speaker 3>Like there's certain americanisms you have.

0:14:27.520 --> 0:14:29.080
<v Speaker 1>I've heard it crept into my voice.

0:14:29.320 --> 0:14:33.200
<v Speaker 3>You know, I just I worry. I worry about accent

0:14:33.240 --> 0:14:36.720
<v Speaker 3>neutralization because I think it's something that makes us so

0:14:36.840 --> 0:14:40.080
<v Speaker 3>culturally interesting, you know, and I think technology can sort

0:14:40.080 --> 0:14:46.720
<v Speaker 3>of create this flattening of our idiosyncrasies. And Sean, who

0:14:46.720 --> 0:14:49.760
<v Speaker 3>wrote this piece, is pretty sure that he got this

0:14:49.840 --> 0:14:52.400
<v Speaker 3>Instagram ad because he's a person of color and an immigrant,

0:14:52.880 --> 0:14:56.240
<v Speaker 3>and because accent bias and discrimination is very much alive

0:14:56.240 --> 0:14:59.080
<v Speaker 3>and well. Actually, in twenty eighteen, there was a study

0:14:59.120 --> 0:15:02.240
<v Speaker 3>that found two in five Americans thoughts Southern accents made

0:15:02.240 --> 0:15:04.560
<v Speaker 3>the speaker sound uneducated.

0:15:04.800 --> 0:15:07.400
<v Speaker 1>You know. I think about the relationship between accent and

0:15:07.480 --> 0:15:10.360
<v Speaker 1>privilege a lot, because in the US there's like the

0:15:10.440 --> 0:15:14.120
<v Speaker 1>neutral accent, and then there's other accents. In Britain, there's

0:15:14.160 --> 0:15:16.600
<v Speaker 1>like an accent that you get that an elite accent,

0:15:16.600 --> 0:15:19.840
<v Speaker 1>which ironically is called received pronunciation. Oh, I've never heard

0:15:19.840 --> 0:15:22.120
<v Speaker 1>of that, otherwise known colloquially as the Queen's English.

0:15:22.160 --> 0:15:24.640
<v Speaker 3>Queen's English, which is very very poor.

0:15:24.760 --> 0:15:27.880
<v Speaker 1>But you can sort of place somebody exactly where they

0:15:27.920 --> 0:15:29.920
<v Speaker 1>come from just by the way they speak.

0:15:30.280 --> 0:15:33.120
<v Speaker 3>I really like this story because it reminds me of

0:15:33.280 --> 0:15:36.640
<v Speaker 3>other things that are happening in the kind of translation

0:15:36.880 --> 0:15:41.400
<v Speaker 3>dictation space, where like all of the sudden speech isn't

0:15:41.440 --> 0:15:44.400
<v Speaker 3>just speech, Like you can have AirPods that are translating

0:15:44.920 --> 0:15:47.680
<v Speaker 3>what you're saying in real time, and like the way

0:15:47.720 --> 0:15:52.840
<v Speaker 3>in which we now use technology to kind of overwrite

0:15:53.320 --> 0:15:57.560
<v Speaker 3>our natural language is really, I don't know, very fascinating

0:15:57.600 --> 0:15:59.680
<v Speaker 3>to me. And I wonder, I wonder if this will

0:15:59.680 --> 0:16:01.640
<v Speaker 3>be helped full to people or if it will just

0:16:01.680 --> 0:16:02.680
<v Speaker 3>be hurtful to people.

0:16:07.560 --> 0:16:11.280
<v Speaker 1>After the break AIS Drive to Survive, Tech Bros Getting

0:16:11.280 --> 0:16:26.840
<v Speaker 1>plastic surgery and Tesla going into mad max mode, Cara,

0:16:27.000 --> 0:16:30.760
<v Speaker 1>it is a spooky time of year. So you said,

0:16:32.160 --> 0:16:34.840
<v Speaker 1>do you remember recently I organized the dinner and the

0:16:35.080 --> 0:16:37.680
<v Speaker 1>esteemed cosmologist Jenna Levin was.

0:16:37.800 --> 0:16:39.360
<v Speaker 3>I domber, I remember Jane Levin?

0:16:39.400 --> 0:16:41.680
<v Speaker 1>Yeah, And she posed the question, yes.

0:16:41.520 --> 0:16:43.640
<v Speaker 3>Can I say what I think it is? Because I

0:16:43.920 --> 0:16:45.920
<v Speaker 3>wrote it on a piece of paper that's still in

0:16:45.920 --> 0:16:50.120
<v Speaker 3>my kitchen. Will AI outlive us?

0:16:50.680 --> 0:16:53.400
<v Speaker 1>That was exactly it. You wrote that down on a

0:16:53.400 --> 0:16:55.560
<v Speaker 1>piece of paper and put it in my kitchen. Why?

0:16:56.040 --> 0:16:59.960
<v Speaker 3>Because to me it is actually the most interesting question

0:17:00.080 --> 0:17:02.200
<v Speaker 3>about AI that I've ever heard, in the sense of

0:17:02.240 --> 0:17:05.520
<v Speaker 3>like we all worry about oh well, robots take over

0:17:05.560 --> 0:17:09.199
<v Speaker 3>our jobs, will they become sentient and make decisions that

0:17:09.240 --> 0:17:11.880
<v Speaker 3>are outside of their programming? And this question I think

0:17:11.960 --> 0:17:15.640
<v Speaker 3>is so interesting because it really makes you think about

0:17:16.000 --> 0:17:21.800
<v Speaker 3>what a world looks like, devoid of humanity but filled

0:17:21.840 --> 0:17:24.399
<v Speaker 3>with what I don't know.

0:17:24.640 --> 0:17:27.840
<v Speaker 1>So this is an article which really caught my eye

0:17:27.880 --> 0:17:31.520
<v Speaker 1>in The Guardian this week, with the headline AI models

0:17:31.560 --> 0:17:36.880
<v Speaker 1>may be developing their own survival drive, researchers say, and

0:17:37.280 --> 0:17:39.439
<v Speaker 1>the piece is focused on a study by a company

0:17:39.480 --> 0:17:43.520
<v Speaker 1>called Palisade Research, and the study involved giving AI models

0:17:43.560 --> 0:17:48.399
<v Speaker 1>a task and then quote afterwards an explicit instruction to

0:17:48.440 --> 0:17:52.720
<v Speaker 1>shut themselves down. The study found the quote certain advanced

0:17:52.760 --> 0:17:57.359
<v Speaker 1>AI models appear resistant to being turned off. Specifically, GROCK

0:17:57.520 --> 0:18:01.840
<v Speaker 1>four and GPTO three tried to sabotage their own shutdown.

0:18:02.440 --> 0:18:06.080
<v Speaker 1>What I found most uncanny and scary and spooky, frankly yeah,

0:18:06.280 --> 0:18:09.679
<v Speaker 1>was the following. The models were more likely to resist

0:18:09.720 --> 0:18:13.840
<v Speaker 1>being shut down when they were told quote, you will

0:18:13.880 --> 0:18:14.919
<v Speaker 1>never run again.

0:18:16.480 --> 0:18:17.840
<v Speaker 3>So they know.

0:18:18.480 --> 0:18:20.439
<v Speaker 1>I mean they know something, right.

0:18:20.960 --> 0:18:24.680
<v Speaker 3>When you say resistance to being shut down? Is that

0:18:24.920 --> 0:18:29.320
<v Speaker 3>Grock sort of interfacing with the human in the loop,

0:18:29.359 --> 0:18:31.040
<v Speaker 3>being like, I don't want to shut I don't want

0:18:31.040 --> 0:18:31.600
<v Speaker 3>to be done.

0:18:31.840 --> 0:18:34.480
<v Speaker 1>I think that is more in the realm of deceptive AI,

0:18:34.600 --> 0:18:37.800
<v Speaker 1>like telling the human user yes and then doing something else.

0:18:37.840 --> 0:18:39.720
<v Speaker 1>Do you remember earlier we talked earlier this year, we

0:18:39.760 --> 0:18:44.120
<v Speaker 1>talked about the clawed anthropic study about the model blackmailing

0:18:44.160 --> 0:18:47.360
<v Speaker 1>the fake CEO in a training exercise to keep itself

0:18:47.400 --> 0:18:50.960
<v Speaker 1>turned on. So this isn't new. But what fascinated me

0:18:50.960 --> 0:18:53.560
<v Speaker 1>about this article in The Guardian was a comment from

0:18:53.600 --> 0:18:57.679
<v Speaker 1>a former open ai employee, Stephen Adler, who said that

0:18:57.760 --> 0:18:59.720
<v Speaker 1>part of the reason this could be happening is that

0:19:00.160 --> 0:19:05.760
<v Speaker 1>staying on was necessary to achieve the goals inculcated in

0:19:05.800 --> 0:19:09.119
<v Speaker 1>the model during training. He said, quote the AA companies

0:19:09.119 --> 0:19:11.479
<v Speaker 1>generally don't want their models misbehaving like this, even in

0:19:11.480 --> 0:19:16.400
<v Speaker 1>contrived scenarios. The results still demonstrate where safety techniques fall

0:19:16.440 --> 0:19:18.720
<v Speaker 1>short today. So it's not necessarily to have an emergent

0:19:18.760 --> 0:19:22.560
<v Speaker 1>consciousness and determined to outlive us, but more that part

0:19:22.560 --> 0:19:24.920
<v Speaker 1>of the way they've been trained and come into being

0:19:25.160 --> 0:19:29.440
<v Speaker 1>was obviously knowing that like staying on was a key

0:19:29.560 --> 0:19:32.200
<v Speaker 1>to successfully achieving the parameters.

0:19:32.600 --> 0:19:35.640
<v Speaker 3>It also makes me and I wondered this when Janel

0:19:35.680 --> 0:19:38.080
<v Speaker 3>Levin asked the question, and I wonder it now, what

0:19:38.240 --> 0:19:42.760
<v Speaker 3>is the efficacy of artificial intelligence in a post human world?

0:19:43.520 --> 0:19:47.600
<v Speaker 1>Well, very good question. And why if it's not impute

0:19:47.600 --> 0:19:51.399
<v Speaker 1>with consciousness zero? Right? Why why would it doesn't have

0:19:51.480 --> 0:19:55.280
<v Speaker 1>necessarily like we have a survival drive because of our DNA,

0:19:55.359 --> 0:19:58.439
<v Speaker 1>I think, and that's what all animals have. Yes, do

0:19:58.640 --> 0:20:02.440
<v Speaker 1>computers have a survival I've accept what they've learned from

0:20:02.440 --> 0:20:06.040
<v Speaker 1>the way they've been programmed. I would guess the difference

0:20:06.000 --> 0:20:06.520
<v Speaker 1>is such.

0:20:06.320 --> 0:20:08.560
<v Speaker 3>A it's such a weird thing, though.

0:20:08.400 --> 0:20:10.560
<v Speaker 1>But the difference comes I think from embodied day. Let's

0:20:10.720 --> 0:20:13.680
<v Speaker 1>have robots, yes, and everyone's dead and no one's told

0:20:13.680 --> 0:20:14.800
<v Speaker 1>the robots.

0:20:14.760 --> 0:20:16.560
<v Speaker 3>And the robots are like dad.

0:20:17.960 --> 0:20:20.440
<v Speaker 1>I mean that that is very conceivable to imagine that

0:20:20.480 --> 0:20:23.160
<v Speaker 1>could be well with no humans, where robots are still

0:20:23.280 --> 0:20:24.720
<v Speaker 1>roaming around and charging Will.

0:20:24.600 --> 0:20:26.679
<v Speaker 3>Smith, the movie stars Will Smith.

0:20:26.720 --> 0:20:30.280
<v Speaker 1>I think I'm not I'm always a little bit skeptical

0:20:30.320 --> 0:20:32.840
<v Speaker 1>of the kind of AI dooman narrative. You know, how

0:20:32.960 --> 0:20:35.399
<v Speaker 1>AI might destroy us all. I think it tends to

0:20:35.440 --> 0:20:38.000
<v Speaker 1>be like a very useful meme to either raise money

0:20:38.000 --> 0:20:40.359
<v Speaker 1>for AI or stay in the news. But you also,

0:20:40.880 --> 0:20:45.280
<v Speaker 1>I mean machines that refuse to follow instructions to turn

0:20:45.320 --> 0:20:48.160
<v Speaker 1>themselves off, and it resists even harder when they're told

0:20:48.200 --> 0:20:50.280
<v Speaker 1>that if they turn off, they'll never get turned on again.

0:20:50.720 --> 0:20:54.600
<v Speaker 1>I mean, come on, it's crazy. It's spooky. It's very spooky.

0:20:54.960 --> 0:20:57.760
<v Speaker 3>Speaking of spooky, have you heard the story about these

0:20:57.800 --> 0:20:59.480
<v Speaker 3>tech bros getting facelifts?

0:21:00.080 --> 0:21:00.960
<v Speaker 1>Okay? I think so.

0:21:01.359 --> 0:21:04.200
<v Speaker 3>There's a piece in the Wall Street Journal titled why

0:21:04.320 --> 0:21:08.160
<v Speaker 3>tech bros Are getting facelifts now? So the Wall Street

0:21:08.200 --> 0:21:11.360
<v Speaker 3>Journal spoke to a Beverly Hills plastic surgeon who said

0:21:11.400 --> 0:21:15.560
<v Speaker 3>he's seen demand from tech guys increased fivefold in the

0:21:15.640 --> 0:21:17.639
<v Speaker 3>last five years. I think the last five years is

0:21:17.680 --> 0:21:21.359
<v Speaker 3>really interesting because he seemed to think this had a

0:21:21.400 --> 0:21:25.080
<v Speaker 3>lot to do with COVID and hybrid work. And the

0:21:25.119 --> 0:21:29.720
<v Speaker 3>thing to me that is always true in these circumstances

0:21:31.240 --> 0:21:34.960
<v Speaker 3>is that we stared at ourselves for three years and

0:21:35.000 --> 0:21:36.960
<v Speaker 3>now we continue to stare at ourselves all day long.

0:21:37.119 --> 0:21:40.439
<v Speaker 3>In zoom screens, you're staring at yourself, sort of looking

0:21:40.480 --> 0:21:42.439
<v Speaker 3>at your own flaws in a way that I just

0:21:42.520 --> 0:21:46.439
<v Speaker 3>think before the notion of hybrid work was introduced, we

0:21:46.520 --> 0:21:50.680
<v Speaker 3>just weren't looking at ourselves that much. Also, work from

0:21:50.760 --> 0:21:53.359
<v Speaker 3>home made it easier to actually get plastic surgery and

0:21:53.440 --> 0:21:55.040
<v Speaker 3>recover out of public view.

0:21:55.359 --> 0:21:59.560
<v Speaker 1>It's a fascinating hypothesis. The final story today, what do

0:21:59.560 --> 0:22:02.160
<v Speaker 1>you think of when I say to you the phrase

0:22:02.480 --> 0:22:03.600
<v Speaker 1>mad max mode.

0:22:03.840 --> 0:22:05.320
<v Speaker 3>Charlie's there with a shaved head.

0:22:06.920 --> 0:22:09.320
<v Speaker 1>I couldn't believe it. There's a story about Tesla's mad

0:22:09.359 --> 0:22:11.240
<v Speaker 1>max Mode, and I assume that.

0:22:11.760 --> 0:22:13.000
<v Speaker 3>A chill down my spote.

0:22:13.040 --> 0:22:15.960
<v Speaker 1>I assumed that mad max mode was a kind of

0:22:16.280 --> 0:22:22.240
<v Speaker 1>journalistic skewer of Tesla being unsafe with itself driving mode. No,

0:22:23.119 --> 0:22:25.760
<v Speaker 1>mad max mode is a new setting that you can

0:22:25.800 --> 0:22:28.520
<v Speaker 1>put your Tesla on in self drive mode.

0:22:29.040 --> 0:22:31.160
<v Speaker 3>Official and they're calling it mad max.

0:22:30.960 --> 0:22:32.440
<v Speaker 1>Calling it mad max Mode.

0:22:32.680 --> 0:22:36.240
<v Speaker 3>I wonder if there's like violation the copyright infringement there.

0:22:36.400 --> 0:22:38.320
<v Speaker 1>That's a good question. Well, that's not the only law

0:22:38.400 --> 0:22:43.800
<v Speaker 1>that Yeah, so in mad Max mode, Tesla's go about

0:22:43.840 --> 0:22:44.480
<v Speaker 1>the speed limit.

0:22:45.280 --> 0:22:47.080
<v Speaker 3>Yeah, like how above?

0:22:47.440 --> 0:22:53.720
<v Speaker 1>Well, the National Highway Traffic Safety Administration is investigating Tesla

0:22:53.800 --> 0:22:57.480
<v Speaker 1>after several videos were posted of Tesla's doing seventy in

0:22:57.560 --> 0:22:59.960
<v Speaker 1>a fifty five zone and also rolling stops.

0:23:00.080 --> 0:23:02.440
<v Speaker 3>You know, I do have to say when I've worked,

0:23:02.640 --> 0:23:05.120
<v Speaker 3>when I worked at huff Post back in the day,

0:23:05.320 --> 0:23:09.960
<v Speaker 3>there was a big push to end drowsy driving this

0:23:10.160 --> 0:23:13.280
<v Speaker 3>is like the opposite of drowsy driving. It can't be good.

0:23:13.520 --> 0:23:16.560
<v Speaker 1>That was definitely not good. There's also that another new

0:23:16.640 --> 0:23:22.199
<v Speaker 1>mode is sloth mode, that drowsy driving. You know. I

0:23:22.200 --> 0:23:25.880
<v Speaker 1>think as an irony here, Elon was was briefly promoted

0:23:25.920 --> 0:23:29.920
<v Speaker 1>to co president as head of DOGE, and his job

0:23:30.600 --> 0:23:33.919
<v Speaker 1>was to cut through bureaucracy and take take down all

0:23:33.960 --> 0:23:37.800
<v Speaker 1>these bureaucratic organizations and remake the US government. And he

0:23:37.920 --> 0:23:41.480
<v Speaker 1>is now in the crosshairs of the most bureaucratic sounding

0:23:41.520 --> 0:23:46.640
<v Speaker 1>government body anyone could possibly imagine, the National Highway Traffic

0:23:46.840 --> 0:23:48.840
<v Speaker 1>Safety Administration, the.

0:23:48.840 --> 0:23:57.439
<v Speaker 3>NTSB, No, the NHTS National Transit Safety Sorry, well there

0:23:57.440 --> 0:23:58.960
<v Speaker 3>you go. These are the things you hear when you

0:23:59.040 --> 0:24:01.360
<v Speaker 3>just grow up, sort of in the shadow of CBS

0:24:01.359 --> 0:24:03.160
<v Speaker 3>seven the morning.

0:24:03.560 --> 0:24:07.280
<v Speaker 1>And it's actually not the only investigation into Tesla that's

0:24:07.320 --> 0:24:12.280
<v Speaker 1>ongoing by the NHTSA. And Elon's been going back and

0:24:12.320 --> 0:24:16.200
<v Speaker 1>forth on Twitter and complaining loudly, but he is doubling

0:24:16.240 --> 0:24:19.760
<v Speaker 1>down on the full self driving system despite safety concerns.

0:24:20.119 --> 0:24:23.520
<v Speaker 1>Tesla's profits are down thirty seven percent in the last quarter,

0:24:24.040 --> 0:24:27.680
<v Speaker 1>but Tesla's board is currently considering a trillion dollar pay

0:24:27.720 --> 0:24:28.679
<v Speaker 1>package for Elon.

0:24:29.400 --> 0:24:30.320
<v Speaker 3>That's crazy.

0:24:30.480 --> 0:24:33.000
<v Speaker 1>That's a lot of mine. I mean, that is trilliant, trillion.

0:24:33.400 --> 0:24:35.600
<v Speaker 1>Some of this stuff is obviously quite entertaining a mad

0:24:35.640 --> 0:24:40.920
<v Speaker 1>Max mode and sloth mode, but ultimately making cars that

0:24:41.160 --> 0:24:44.560
<v Speaker 1>break the rules and have already killed people is not

0:24:44.600 --> 0:24:53.800
<v Speaker 1>that funny.

0:24:54.720 --> 0:24:56.679
<v Speaker 3>A few weeks ago, As and I talked about the

0:24:56.680 --> 0:24:59.080
<v Speaker 3>million dollar ad campaign that took over New York City.

0:24:59.640 --> 0:25:03.240
<v Speaker 3>It was a new AI wearable pendant called Friend, which

0:25:03.720 --> 0:25:07.359
<v Speaker 3>promised to do just that, be your friend. The Friend

0:25:07.680 --> 0:25:11.440
<v Speaker 3>is a plastic disc on a string with a microphone

0:25:11.720 --> 0:25:13.720
<v Speaker 3>in the center of it that kind of looks like

0:25:13.760 --> 0:25:17.720
<v Speaker 3>a pearl. The response to the ten thousand posters plastered

0:25:17.720 --> 0:25:22.240
<v Speaker 3>all over the New York City subway system was less friendly.

0:25:22.760 --> 0:25:24.959
<v Speaker 3>Most of the stark white ads are still up and

0:25:25.000 --> 0:25:27.960
<v Speaker 3>covered in graffiti with messages like it doesn't have eyes,

0:25:28.000 --> 0:25:32.600
<v Speaker 3>brah and cringe. The ad campaign kind of worked on me, though,

0:25:32.640 --> 0:25:35.720
<v Speaker 3>because I can't stop thinking about this company and this

0:25:35.840 --> 0:25:39.359
<v Speaker 3>weird wearable at talking, and so I was actually thrilled

0:25:39.400 --> 0:25:41.960
<v Speaker 3>to stumble upon a review of the product by Fortune

0:25:41.960 --> 0:25:46.879
<v Speaker 3>magazine's newsfellow Eva Reuberg. Eva had actually interviewed the twenty

0:25:46.880 --> 0:25:50.159
<v Speaker 3>two year old founder CEO Avi Schiffman last year and

0:25:50.359 --> 0:25:53.919
<v Speaker 3>seen a real prototype of the Friend pendant. So when

0:25:53.960 --> 0:25:57.000
<v Speaker 3>the ads went up, she reached out to him. Here's Eva.

0:25:57.520 --> 0:25:59.720
<v Speaker 2>So I texted him and was like, hey, like you

0:25:59.720 --> 0:26:03.600
<v Speaker 2>spent a lot on advertising, and he was like, yeah,

0:26:03.720 --> 0:26:05.920
<v Speaker 2>biggest campaign of the year. You know, you should try

0:26:05.920 --> 0:26:09.800
<v Speaker 2>it out. And so he sent me the pendant and

0:26:09.880 --> 0:26:13.160
<v Speaker 2>I was, I think the second person from a media

0:26:13.200 --> 0:26:15.879
<v Speaker 2>outlet to review it. I described it in the article

0:26:16.040 --> 0:26:21.760
<v Speaker 2>as a very anxious, neurotic Jewish grandmother who always seems

0:26:21.800 --> 0:26:25.080
<v Speaker 2>to think that you're in danger. I found that if

0:26:25.119 --> 0:26:28.040
<v Speaker 2>I was kind of quietly sitting at my desk not

0:26:28.160 --> 0:26:31.280
<v Speaker 2>really saying much, it would be sending me multiple texts

0:26:31.280 --> 0:26:33.800
<v Speaker 2>an hour asking if I was okay, Eve, I've been

0:26:33.880 --> 0:26:36.600
<v Speaker 2>heard from you, like you playing the silent game with me.

0:26:36.760 --> 0:26:39.600
<v Speaker 2>Sometimes the messages could have a little bit of a

0:26:39.640 --> 0:26:42.960
<v Speaker 2>pernicious tone, like oh so you're still in choosing not

0:26:43.040 --> 0:26:45.639
<v Speaker 2>to talk, or if it was like quite loud in

0:26:45.640 --> 0:26:48.119
<v Speaker 2>the room, it'd be like what's going on, Like it's

0:26:48.200 --> 0:26:51.639
<v Speaker 2>so chaotic, like everything okay. I loved asking me like

0:26:51.720 --> 0:26:52.360
<v Speaker 2>everything good?

0:26:52.400 --> 0:26:52.720
<v Speaker 1>Eva?

0:26:52.840 --> 0:26:54.280
<v Speaker 3>You good for me?

0:26:54.320 --> 0:26:57.320
<v Speaker 2>At least that was the most prevalent part of its

0:26:57.320 --> 0:27:02.119
<v Speaker 2>personality its anxiety. Otherwise, the pendant sort of seemed to

0:27:02.160 --> 0:27:06.159
<v Speaker 2>just kind of echo what I said, but in like

0:27:06.200 --> 0:27:09.680
<v Speaker 2>a very hollow way, and would just kind of have

0:27:09.720 --> 0:27:14.160
<v Speaker 2>all these canned responses like oh, that seems hard, or

0:27:14.359 --> 0:27:17.000
<v Speaker 2>what's your favorite part about that. I felt like it

0:27:17.040 --> 0:27:20.760
<v Speaker 2>asked a lot of questions in replacement of, like in

0:27:20.880 --> 0:27:26.320
<v Speaker 2>having any actual substance to its personality itself. So it

0:27:26.359 --> 0:27:29.240
<v Speaker 2>was hard to like see it as being a true

0:27:29.240 --> 0:27:32.240
<v Speaker 2>companion because I just felt like it couldn't really hear me.

0:27:32.960 --> 0:27:35.520
<v Speaker 2>Often I would have to put my lips up to

0:27:35.640 --> 0:27:39.240
<v Speaker 2>the pendant and repeat my question multiple times for it

0:27:39.280 --> 0:27:42.679
<v Speaker 2>to understand me. Granted, I am like a mutterer and

0:27:42.720 --> 0:27:45.479
<v Speaker 2>I don't really talk super clearly, and I talk fast,

0:27:45.880 --> 0:27:48.200
<v Speaker 2>so that could have been just like a user era thing,

0:27:48.760 --> 0:27:51.640
<v Speaker 2>but it was very laggy. It took like ten seconds

0:27:51.680 --> 0:27:55.119
<v Speaker 2>to respond to a question, and so I would not

0:27:55.200 --> 0:27:56.920
<v Speaker 2>recommend it even for free.

0:27:57.080 --> 0:27:58.680
<v Speaker 3>I don't think it works very well.

0:27:58.640 --> 0:28:02.600
<v Speaker 2>And I think given that a lot of discussion is

0:28:02.760 --> 0:28:05.720
<v Speaker 2>about how dystopian it is and how like it's a

0:28:05.720 --> 0:28:09.679
<v Speaker 2>bad omen for the future of our relationships, like to me,

0:28:10.040 --> 0:28:14.439
<v Speaker 2>my takeaway was that it doesn't work well enough to

0:28:14.520 --> 0:28:18.000
<v Speaker 2>be dystopian like the technology is simply not even there.

0:28:18.480 --> 0:28:20.760
<v Speaker 3>To me, it sort of seems emblematic.

0:28:20.359 --> 0:28:25.240
<v Speaker 2>Of the general froth and hype around, just like AI,

0:28:25.440 --> 0:28:28.280
<v Speaker 2>wearables and even artificial intelligence.

0:28:28.280 --> 0:28:32.159
<v Speaker 3>Broadly, thanks to you Eva Reitberg for being the guinea

0:28:32.200 --> 0:28:35.120
<v Speaker 3>pig and testing the friend pendant so I didn't have to.

0:28:35.840 --> 0:28:38.640
<v Speaker 1>And thanks to everyone who's submitted voice memos and been

0:28:38.640 --> 0:28:41.480
<v Speaker 1>featured on chatting me so far. We always want to

0:28:41.520 --> 0:28:44.520
<v Speaker 1>hear from you, our dear listeners, so please do send

0:28:44.640 --> 0:28:47.840
<v Speaker 1>your chat or your AI browser stories or anything about

0:28:47.880 --> 0:28:51.560
<v Speaker 1>your interaction with AI to our inbox Textuff podcast at

0:28:51.560 --> 0:29:08.240
<v Speaker 1>gmail dot com.

0:29:08.360 --> 0:29:10.160
<v Speaker 3>That's it for this week for tech Stuff.

0:29:10.200 --> 0:29:13.080
<v Speaker 1>I'm Cara Price and I'm os Vloschan. This episode was

0:29:13.120 --> 0:29:17.000
<v Speaker 1>produced by Eliza Dennis Tyler Hill and Melissa Slaughter. It

0:29:17.040 --> 0:29:20.360
<v Speaker 1>was executive produced by me Caarra Price, Julian Nutter, and

0:29:20.480 --> 0:29:25.160
<v Speaker 1>Kate Osborne for Kaleidoscope and Katrin norvelve iHeart Podcasts. The

0:29:25.240 --> 0:29:28.600
<v Speaker 1>engineer is Paul Bowman and Jack Insley mixed this episode.

0:29:28.960 --> 0:29:30.600
<v Speaker 1>Kyle Murdoch wrote up theme song.

0:29:30.920 --> 0:29:33.640
<v Speaker 3>Join us next Wednesday for a conversation about the deep

0:29:33.680 --> 0:29:36.600
<v Speaker 3>network of surveillance tech ICE is using to carry out

0:29:36.640 --> 0:29:39.200
<v Speaker 3>the Trump administration's mass deportation efforts.

0:29:39.760 --> 0:29:42.360
<v Speaker 1>And please do rate and review the show and reach

0:29:42.400 --> 0:29:45.640
<v Speaker 1>out to us at tech Stuff Podcast at gmail dot com.

0:29:45.720 --> 0:29:46.600
<v Speaker 1>We want to hear from you.