WEBVTT - Week in Tech: To Catch a Cheater 0:00:13.960 --> 0:00:17.600 From Kaleidoscope and iHeart podcasts. This is tech stuff. I'm 0:00:17.640 --> 0:00:18.560 os Volocian and. 0:00:18.520 --> 0:00:19.360 I'm Cara Price. 0:00:19.840 --> 0:00:24.160 Today we'll get into why websites claiming to catch cheetahs 0:00:24.400 --> 0:00:29.800 using facial recognition should frighten us all and Trump's crypto empire. 0:00:30.360 --> 0:00:31.440 Then unchat me. 0:00:32.240 --> 0:00:37.120 Every story has two sides, even chat. This time she 0:00:37.240 --> 0:00:38.600 has shown her green. 0:00:38.440 --> 0:00:41.760 Side all of that on the Weekend Tech. It's Friday, 0:00:41.880 --> 0:00:43.000 October twenty fourth. 0:00:47.400 --> 0:00:51.040 So, Kara, often you come in wearing a baseball cap, 0:00:51.159 --> 0:00:53.880 that's right. Not today today, I come in wearing a 0:00:54.000 --> 0:00:57.000 black windbreaker. Yes, I don't normally wear. What does it 0:00:57.120 --> 0:00:57.920 say on it? 0:00:57.920 --> 0:01:02.040 It says the science of genetics, the business of discovery. 0:01:02.240 --> 0:01:03.400 Colossal Labs. 0:01:03.480 --> 0:01:06.319 Colossal Labs. So, a few weeks ago you sent me 0:01:06.480 --> 0:01:09.800 an article about the company trying to revive the DODO. 0:01:09.959 --> 0:01:12.080 I did, What did you say? 0:01:12.200 --> 0:01:13.760 I said, we should have this guy on. 0:01:15.160 --> 0:01:17.160 I'm so glad your session avid listener when you're not 0:01:17.200 --> 0:01:19.720 on the show, Cara, I interviewed him a few weeks ago. 0:01:19.959 --> 0:01:22.000 Yes, I was like, well, that's great, I'm glad you 0:01:22.040 --> 0:01:22.880 did that. 0:01:23.720 --> 0:01:27.800 This is Ben Lamb, the CEO and founder of Colossal Biosciences. 0:01:28.360 --> 0:01:31.120 Just for some background, this is the company whose mission 0:01:31.200 --> 0:01:32.640 is to revive the wooly mammoth. 0:01:32.959 --> 0:01:34.000 Have they been successful? 0:01:34.240 --> 0:01:37.039 They're getting there. So one of their big milestones along 0:01:37.040 --> 0:01:39.920 the way was to gene edit mice to have wooly 0:01:40.040 --> 0:01:44.280 mammoth fur. These were the so called they broke the 0:01:44.280 --> 0:01:46.960 Internet around March April. And then of course you're with 0:01:47.040 --> 0:01:51.120 the die wolves. Yes, majestic white wolves, beautiful wolves staring 0:01:51.200 --> 0:01:53.920 out from the cover of Time magazine. Yes, was that 0:01:53.920 --> 0:01:55.120 colossal Colossal as well? 0:01:55.160 --> 0:01:56.080 That was colossal as well. 0:01:56.120 --> 0:01:59.160 And now the Dodos is on the agenda, so incredible. 0:02:00.120 --> 0:02:03.320 Gives something to believe in about just how powerful the 0:02:03.440 --> 0:02:06.800 new science and tech revolution really is. I got the 0:02:06.800 --> 0:02:10.680 reason I'm wearing Colossal Bioscience is swag is not because 0:02:10.680 --> 0:02:14.480 I've become an employee of Colossal Biosciences. 0:02:13.720 --> 0:02:15.280 Or a hYP Well, you're a kind of a hype man. 0:02:15.600 --> 0:02:17.440 I got to go to the lab yesterday in Dallas. 0:02:17.680 --> 0:02:17.880 Cool. 0:02:17.919 --> 0:02:19.080 It was really really cool. 0:02:19.080 --> 0:02:21.239 Can you describe some of the environs. 0:02:21.560 --> 0:02:23.880 Yeah, I think it's a little on the top secret side, 0:02:24.240 --> 0:02:26.639 but you basically go, you put on a lab code 0:02:26.720 --> 0:02:28.520 and then you walk past all these different labs. Whether 0:02:28.560 --> 0:02:31.000 each there's a team of scientists working on all different problems. 0:02:31.040 --> 0:02:35.639 One is extracting DNA from ancient bones, another is implanting 0:02:35.760 --> 0:02:40.040 DNA into eggs. Another is working on an artificial womb, 0:02:40.160 --> 0:02:46.040 essentially growing animals without needing a parent animal. They're trying 0:02:46.080 --> 0:02:49.880 to grow, growing uff from embryo to maturity. I mean, 0:02:49.919 --> 0:02:53.799 it really is totally mind bobbling. There are two big 0:02:53.880 --> 0:02:58.000 questions I think about this story. One is is it real? 0:02:58.520 --> 0:03:00.720 And some people, when the die Walls came out, said, well, 0:03:00.800 --> 0:03:03.600 you know you've basically gene edited normal wolves to give 0:03:03.600 --> 0:03:06.280 them white fur and make them a little bit bigger, right, 0:03:06.400 --> 0:03:09.679 And Ben Lamb, the CEO of Colossal Biosciences, pushes back, 0:03:09.800 --> 0:03:15.079 including by saying, well have you done that exactly? The 0:03:15.160 --> 0:03:17.520 other thing people say is what is the business case here? 0:03:17.639 --> 0:03:20.359 And when Ban Lamb came on the show, I asked 0:03:20.440 --> 0:03:24.240 him about exactly this is this really in your heart 0:03:24.240 --> 0:03:28.120 of hearts? More about the de extinction project? Or is 0:03:28.160 --> 0:03:31.720 the the extinction project the best meme in the world 0:03:32.160 --> 0:03:35.560 to allow you to advance the cause of synthetic biology. 0:03:35.960 --> 0:03:39.080 So so it depends on who you ask, right, have. 0:03:40.880 --> 0:03:44.240 Yeah, you know, because because I'm very passionate about, you know, conservation, 0:03:44.280 --> 0:03:46.520 which I hope we get into, but you know, for me, 0:03:46.600 --> 0:03:49.120 it is about the de extinction, right. I think that 0:03:49.120 --> 0:03:52.720 that we are at this like truly at the the 0:03:52.760 --> 0:03:58.200 doorway of what we can do with synthetic biology. And 0:03:58.280 --> 0:04:00.960 I think that if Colossal word is your every major 0:04:01.000 --> 0:04:05.960 disease and help conservation and build technologies that could radically 0:04:05.960 --> 0:04:10.480 transform di directed evolution and genetic engineering in all species, 0:04:10.560 --> 0:04:14.200 including humans, and make every single species that we wanted 0:04:14.920 --> 0:04:17.760 except the mammoth, I would consider us a failure. 0:04:18.320 --> 0:04:20.440 So it's a little bit of both. 0:04:20.760 --> 0:04:23.440 But my heart is still kind of pretty much in 0:04:23.480 --> 0:04:26.559 love with the pursuit of some of the really large 0:04:26.600 --> 0:04:27.720 de extinction projects. 0:04:27.839 --> 0:04:30.240 And just for the sake of clarity, the term de 0:04:30.360 --> 0:04:34.360 extinction is defined by Colossal as quote, the process of 0:04:34.480 --> 0:04:39.560 generating an organism that both resembles and is genetically similar 0:04:39.640 --> 0:04:40.680 to an extinct species. 0:04:41.480 --> 0:04:43.400 All right, as I want to move on to the 0:04:43.400 --> 0:04:46.960 big headlines of the week. As you know, my beat 0:04:46.960 --> 0:04:49.320 on this show is dating in the age of tech, 0:04:49.400 --> 0:04:51.960 and so of course I have to bring you a 0:04:52.040 --> 0:04:55.719 video that's been replicated many times over. So I'm going 0:04:55.800 --> 0:04:58.480 to show you a video of a girl who's been 0:04:58.560 --> 0:04:59.599 interviewed on the street. 0:05:00.000 --> 0:05:01.359 You've been engaged for six months? 0:05:01.440 --> 0:05:02.440 Yeah, you're out here? 0:05:02.480 --> 0:05:03.040 Where's he? 0:05:03.040 --> 0:05:03.320 He's in? 0:05:04.120 --> 0:05:06.239 That never caused conflict. I know a lot of times 0:05:06.279 --> 0:05:08.120 military men are like a red flag. 0:05:08.400 --> 0:05:10.440 I mean I always have those thous in my mind. 0:05:10.680 --> 0:05:11.920 Well, yeah, you're a woman, of course. 0:05:12.000 --> 0:05:12.360 Of course. 0:05:13.800 --> 0:05:16.760 I have an AI software called Cheeterbuster, and we can 0:05:16.880 --> 0:05:19.840 find out using spacial recognition if anyone's on a dating app. 0:05:20.560 --> 0:05:21.760 What's his name, Cameron? 0:05:21.960 --> 0:05:25.560 How old is he? City? He said, Jacksonville, North Carolina. 0:05:25.640 --> 0:05:27.159 Can you have a picture of him on your phone 0:05:27.400 --> 0:05:29.520 right now? Cheetabuster eye is gonna do its thing. And 0:05:29.680 --> 0:05:33.080 remember it uses a marified photo recognition. 0:05:32.680 --> 0:05:34.120 So that selled me. That's on his ID. 0:05:34.360 --> 0:05:36.600 It uses that it's real. He's gonna find him. If 0:05:36.640 --> 0:05:38.440 he's on here, we're gonna find him. Okay, I did 0:05:38.520 --> 0:05:39.360 find an account. 0:05:39.480 --> 0:05:40.279 Is this him? 0:05:40.920 --> 0:05:43.560 Yeah? 0:05:44.120 --> 0:05:46.840 That's it searching for men? Is this real? 0:05:47.080 --> 0:05:50.080 Well, the app is real. I can't promise that the 0:05:50.080 --> 0:05:51.360 girl in it isn't a plant. 0:05:51.800 --> 0:05:55.520 I have to say I definitely avoid the situation. This 0:05:55.560 --> 0:05:58.040 woman found herself in of a man in the street. 0:05:58.040 --> 0:06:01.480 Interview being taped to social media. Do it? 0:06:01.560 --> 0:06:02.800 Let's see what Cameron's. 0:06:02.600 --> 0:06:03.440 This is insane? 0:06:03.560 --> 0:06:07.400 Yes, So I just want to start by saying, this 0:06:07.480 --> 0:06:12.679 is a real app called Cheaterbuster AI. So Joseph Cox, 0:06:12.680 --> 0:06:15.239 who's a reporter for four or four, noticed that videos 0:06:15.320 --> 0:06:17.560 like the one I just showed you were like flooding 0:06:17.600 --> 0:06:20.159 feeds of Instagram and TikTok, and of course was like, 0:06:21.000 --> 0:06:22.080 what the hell is this? 0:06:22.080 --> 0:06:24.480 This is well, this is Jerry's spring of the for 0:06:24.520 --> 0:06:27.840 the age of Jerry. Jerry exactly, Everyone's Jerry now. 0:06:27.960 --> 0:06:31.360 Well, no Jerry is using AI now, which is crazy. 0:06:31.440 --> 0:06:34.599 So let me just break down how cheater Bus the 0:06:34.680 --> 0:06:39.040 site asks I would say, OZ thirty six New York, 0:06:40.160 --> 0:06:43.360 I would upload a photo of you, not all of 0:06:43.400 --> 0:06:45.000 it has to be precise, by the way, which is 0:06:45.000 --> 0:06:45.680 really interesting. 0:06:46.080 --> 0:06:47.400 You mean you could say, I don't know. 0:06:49.320 --> 0:06:51.920 Whatever, it doesn't have to be super precise. Then there's 0:06:51.920 --> 0:06:55.719 an option called face matches different names to see results 0:06:55.760 --> 0:06:57.760 of anyone who looks like the photo uploaded. 0:06:57.920 --> 0:07:00.160 So, in other words, the name and the age and 0:07:00.200 --> 0:07:05.240 the location are essentially narrowing criteria that's right to allow 0:07:05.320 --> 0:07:08.160 the facial recognition matching software to do about a. 0:07:08.120 --> 0:07:11.160 Job yes, Okay, then you get a list of Tinder 0:07:11.160 --> 0:07:13.640 profiles and you can look to see if your person 0:07:13.880 --> 0:07:18.320 is cheating. All of this twenty dollars a month, wow 0:07:18.320 --> 0:07:18.720 to use. 0:07:18.920 --> 0:07:21.920 Wow. What about really good looking people who other people 0:07:21.960 --> 0:07:24.200 are using to catfish on Tinder? Their lives could be 0:07:24.280 --> 0:07:24.840 ruined by this. 0:07:25.000 --> 0:07:28.000 That's absolutely that's a very good point. I didn't think 0:07:28.040 --> 0:07:31.640 of that. So facial reognition, to me is the scariest 0:07:31.640 --> 0:07:33.680 part of all of this. I mean, we obviously know 0:07:33.680 --> 0:07:37.040 what facial recognition is. It's the biometric technology that identifies 0:07:37.080 --> 0:07:41.080 a person by analyzing their features, like the distance between 0:07:41.080 --> 0:07:43.400 their eyes or the shape of their nose and so. 0:07:44.520 --> 0:07:47.760 Cheeterbusters is a consumer app and is one of many 0:07:47.800 --> 0:07:51.840 apps out there that use facial recognition to expose a cheater. 0:07:52.040 --> 0:07:54.280 But this is also a technology that's used by the 0:07:54.280 --> 0:07:56.080 Department of Defense. It just trips me out. 0:07:55.960 --> 0:07:59.640 And the police and the police. It's funny appropos the police. 0:07:59.640 --> 0:08:02.400 I was told to somebody who had attended the No 0:08:02.560 --> 0:08:05.720 King's protests yeah this weekend, and she said to me, 0:08:05.760 --> 0:08:08.120 oh my goodness, I realized I probably should have worn 0:08:08.160 --> 0:08:13.240 a mask, right, No, no, because I don't want to 0:08:13.280 --> 0:08:15.840 be in a database if people matched to my identity 0:08:15.840 --> 0:08:18.240 who attended to just totally can you imagine. I mean, 0:08:19.040 --> 0:08:21.320 like five ten years ago, people said, you know, this 0:08:21.360 --> 0:08:23.760 is the nightmare of living in a techno authoritarian state. 0:08:24.240 --> 0:08:27.240 Now it's our life, yes, but it's not just being 0:08:27.320 --> 0:08:31.280 used by the authorities. It's being used into into wider 0:08:31.320 --> 0:08:35.480 culture for cheat busting and of course great social videos exactly. 0:08:35.600 --> 0:08:39.120 And the thing is, I mean, obviously cheetahbusting is one 0:08:39.760 --> 0:08:42.160 use case, but by far and away not the only one. 0:08:42.160 --> 0:08:43.960 I mean, I could theoretically take a picture of someone 0:08:44.000 --> 0:08:46.400 I saw on the subway and then trace it to 0:08:46.400 --> 0:08:50.319 their Tinder profile, figure out geolocation where they're based, and 0:08:50.360 --> 0:08:51.440 like hunt them down. 0:08:51.920 --> 0:08:55.600 Eva Galprin, who was actually the director of cybersecurity at 0:08:55.640 --> 0:08:59.520 the Electronic Frontier Foundation, said quote, I think that an 0:08:59.520 --> 0:09:01.960 app that allows you to find the dating app profile 0:09:02.040 --> 0:09:04.760 and general location of a person based on just one 0:09:04.760 --> 0:09:08.280 photo is an excellent tool for stalkers. And I'm like, 0:09:08.360 --> 0:09:11.080 you think, well, because you make a great point, which 0:09:11.080 --> 0:09:13.960 is that, like I could come into an office any 0:09:14.040 --> 0:09:17.679 day catt someone into giving me a photo of them, 0:09:17.960 --> 0:09:19.400 or just take one, or take one of. 0:09:19.600 --> 0:09:21.920 You put on your meta ray bands or your o. 0:09:22.120 --> 0:09:24.320 The meta ray bands, that's right, opens us up to 0:09:24.360 --> 0:09:24.800 something new. 0:09:25.000 --> 0:09:27.160 I'm glad you brought this story because I think it's 0:09:27.960 --> 0:09:31.000 it's a bigger story. Obviously, facial recognition technology in the 0:09:31.080 --> 0:09:35.960 hands of authorities to do authoritarianism is really bad and 0:09:36.000 --> 0:09:38.240 something we've been talking about for a while and something 0:09:38.280 --> 0:09:40.480 we should all be scared of and is basically you're 0:09:40.480 --> 0:09:41.400 already here. Yeah. 0:09:41.880 --> 0:09:44.720 Joseph Cox from four from Media has actually done multiple 0:09:44.720 --> 0:09:48.199 stories on how ice in law enforcement is currently using 0:09:48.240 --> 0:09:50.280 this exact kind of technology to track people. 0:09:50.760 --> 0:09:55.000 But when any normal person walking around the street can 0:09:55.040 --> 0:10:02.439 be identified and geolocated by anybody with camera, man. 0:10:02.360 --> 0:10:06.560 I mean it makes you feel not like a member 0:10:06.559 --> 0:10:08.640 of the human race, but a member of the database 0:10:09.040 --> 0:10:09.920 in a strange way. 0:10:10.120 --> 0:10:14.040 What do you use cheap busters? Yeah? 0:10:14.080 --> 0:10:17.400 Probably it's I mean that's the thing. It's like, it's 0:10:17.559 --> 0:10:20.240 the lure of this technology is like too strong. It's 0:10:20.240 --> 0:10:21.960 the same thing as giving it. Would I give away 0:10:21.960 --> 0:10:25.160 my data? Yeah, in exchange for something else? Sure? Why not? 0:10:25.800 --> 0:10:26.160 So caro. 0:10:26.360 --> 0:10:29.880 We haven't done too many stories on tech stuff about crypto. 0:10:31.360 --> 0:10:35.320 Crypto is something that I should be interested in, but 0:10:35.520 --> 0:10:36.079 I'm just not. 0:10:36.280 --> 0:10:39.200 It's not, honestly, where my curiosity naturally leads me. I 0:10:39.240 --> 0:10:43.839 prefer wooly mammoths and cheat Cheetahbuster. But it's obviously it's 0:10:43.960 --> 0:10:46.560 it's impossible to an Yeah, yeah, and I saw a 0:10:46.600 --> 0:10:49.240 store in the Financial Times that will be a perfect 0:10:49.280 --> 0:10:50.480 way for us to have a little bit of it. 0:10:50.640 --> 0:10:53.280 And if it's in your heart's. 0:10:52.920 --> 0:10:56.280 In my heart exactly. The headline is how the Trump 0:10:56.320 --> 0:11:00.480 companies made a billion dollars from crypto and billion dollars. 0:11:00.480 --> 0:11:02.839 By the way, there's a billion dollars of pre tax 0:11:03.000 --> 0:11:07.480 profits last year. The FT asked Eric Trump for some 0:11:07.520 --> 0:11:14.920 comment on the story. He said, quote, it's probably more's 0:11:15.200 --> 0:11:16.400 did you have any idea about this? 0:11:16.880 --> 0:11:18.400 I did not realize they made this much money? 0:11:18.400 --> 0:11:18.880 But he knew that. 0:11:19.120 --> 0:11:21.480 I knew that they were involved in crypto. Yeah, but 0:11:21.520 --> 0:11:23.120 I did not know it was a billion. 0:11:23.200 --> 0:11:24.640 And that's a lot. That's a lot of money. 0:11:24.679 --> 0:11:25.480 That's a ton of money. 0:11:25.640 --> 0:11:27.840 So before we kind of get into the whole story, 0:11:28.000 --> 0:11:29.400 I want to give you a little bit of background 0:11:29.440 --> 0:11:33.120 on Trump's own relationship with crypto. As recently as twenty 0:11:33.120 --> 0:11:36.080 twenty four, he was actually in our camp. He labeled 0:11:36.080 --> 0:11:38.839 crypto as a quote based on thin air and called 0:11:38.880 --> 0:11:42.680 bitcoin a scam. But Trump, obviously he has a better 0:11:42.920 --> 0:11:45.320 risk appetite than I do, and so he's all in 0:11:45.360 --> 0:11:47.400 on crypto at the moment. The way it started, though, 0:11:47.480 --> 0:11:49.720 was in twenty twenty four, Trump was in all kinds 0:11:49.840 --> 0:11:53.680 of legal trouble, and this translated to financial trouble because 0:11:53.720 --> 0:11:56.720 of huge civil penalties, and he actually claimed at a 0:11:56.760 --> 0:11:59.000 certain moment that he would have to start selling his 0:11:59.040 --> 0:12:01.520 real estate assets to meet this five hundred million dollar 0:12:01.920 --> 0:12:06.080 civil penalty, so he needed money. And then separately, he 0:12:06.200 --> 0:12:09.040 was also claiming that he was being debanked, in other words, 0:12:09.080 --> 0:12:13.560 that big major financial institutions refuse to carry his accounts, 0:12:13.600 --> 0:12:15.679 which is something that normally happens to people who are 0:12:15.920 --> 0:12:18.880 criminals or have very bad credit, or people who the 0:12:18.960 --> 0:12:21.920 banking system essentially doesn't want to integrate. 0:12:22.200 --> 0:12:24.400 Didn't he have a coin? Wasn't there some sort of 0:12:24.480 --> 0:12:25.720 coin related to him? 0:12:25.880 --> 0:12:30.000 You're exactly right. So there's actually a Millennia coin, right, 0:12:30.040 --> 0:12:32.520 That's what I thought, and a Trump coin. Before we 0:12:32.559 --> 0:12:35.480 get to those, there are two quick sort of definitional things. 0:12:35.520 --> 0:12:38.280 We're going to talk about meme coins, which are like 0:12:38.320 --> 0:12:39.840 the Trump coin and the millennial. 0:12:39.960 --> 0:12:41.560 Trend coin like trend coin. 0:12:41.640 --> 0:12:44.920 Yeah, yeah, and their cryptocurrency, but anyone can issue them 0:12:45.080 --> 0:12:48.120 and they're very much based on like internet hype. And 0:12:48.160 --> 0:12:50.480 then you have stable coins, do you not? Stable coins 0:12:50.520 --> 0:12:51.160 are but I don't know. 0:12:51.200 --> 0:12:52.120 I've heard of it, but I don't know. 0:12:52.200 --> 0:12:55.200 So a stable coin is a coin that's tied to 0:12:55.280 --> 0:12:59.800 a real asset that the stable coin issuer has to 0:12:59.840 --> 0:13:02.640 all so own. So, in other words, a stable coin 0:13:02.720 --> 0:13:04.760 is backed by gold or by US dollars. And if 0:13:04.800 --> 0:13:07.040 I own a stable coin, I can redeem it at 0:13:07.040 --> 0:13:10.000 any point for the real asset. Oh interesting, so much, 0:13:10.280 --> 0:13:14.319 that's White's stable. Let's start with those mean coins, dollar 0:13:14.360 --> 0:13:19.800 Trump and Dollar Millennia. So these coins were both issued 0:13:20.080 --> 0:13:23.520 right before the inauguration and have since lost over ninety 0:13:23.520 --> 0:13:27.320 percent of their evaluation. Really but two important points here, 0:13:27.640 --> 0:13:31.040 really important points. The Trump and Millennia coins, whenever they're 0:13:31.040 --> 0:13:34.880 bought or sold, generate fees to the mean coin issuer. 0:13:35.240 --> 0:13:39.480 So the trading volume, regardless of the price, enriches the 0:13:39.520 --> 0:13:43.840 mean coin issuer. Guess how much the ft estimates that 0:13:43.920 --> 0:13:46.080 the Trumps have made from the buying and selling of 0:13:46.080 --> 0:13:49.240 these mean coins much? Four hundred million. 0:13:48.920 --> 0:13:52.720 Dollars just on fees fees. 0:13:53.160 --> 0:13:56.760 Bear in mind these Trump and Millennia coins made all 0:13:56.760 --> 0:13:59.080 the headlines, but they aren't actually the real play. The 0:13:59.160 --> 0:14:03.079 ft reports on World Liberty Financial. The company is set 0:14:03.120 --> 0:14:07.000 up by Trump's sons and Steve Wickcoff sons. Wickcoff is 0:14:07.000 --> 0:14:09.880 the Special Envoy the Middle East as well as kind 0:14:09.920 --> 0:14:12.920 of an ambassador at large. Four for Trump the Suns, 0:14:13.040 --> 0:14:17.480 it's the neo the Nebow crypto. This company, World Liberty Financial, 0:14:17.679 --> 0:14:23.480 has released two major tokens. WLFI, which gives you governance 0:14:23.640 --> 0:14:27.200 rights in World Liberty Financial if you're a holder. This 0:14:27.280 --> 0:14:29.560 has owned five hundred and fifty million dollars so far, 0:14:30.240 --> 0:14:33.360 and then USD one, which is a stable coin whose 0:14:33.400 --> 0:14:35.800 price is paged to the US dollar, which has sold 0:14:35.960 --> 0:14:38.840 two point seventy one billion dollars of this USD one 0:14:38.880 --> 0:14:41.280 stable coin. Bear in mind, twenty twenty five is the 0:14:41.320 --> 0:14:44.800 real boom kickoff of this stuff. In twenty twenty four, 0:14:45.400 --> 0:14:48.920 Trump declared a personal income of fifty seven point three 0:14:48.960 --> 0:14:51.200 million dollars just from World Liberty Financial. 0:14:51.960 --> 0:14:54.120 Is it legal what he's doing? 0:14:54.760 --> 0:14:57.040 I mean, I couldn't appine on that. I'm sure that 0:14:57.080 --> 0:15:00.360 there will be legal plenty of legal challenges to this, 0:15:00.440 --> 0:15:02.240 but he's also in a position of changing the laws. 0:15:02.400 --> 0:15:05.640 Drawing that famous line from Frost Nixon, if the president 0:15:05.720 --> 0:15:06.640 does it, it is the. 0:15:06.640 --> 0:15:09.960 Law that was a good Franklin, thank you. 0:15:10.800 --> 0:15:13.920 So we're in that era, I think again. To say 0:15:13.920 --> 0:15:17.080 the least, this crypto thing has two levers in terms 0:15:17.120 --> 0:15:21.160 of exerting influence potentially on the president. On the domestic side, 0:15:21.280 --> 0:15:25.080 American crypto companies donate heavily to the Trump campaign and 0:15:25.200 --> 0:15:30.520 the World Liberty, Digital Financial Freedom Pack and Go Figure. Basically, 0:15:30.520 --> 0:15:33.400 there's been post Trump presidents did a lot of inflow 0:15:33.440 --> 0:15:36.800 of like institutional capital into crypto, which is bolstering the 0:15:36.800 --> 0:15:42.320 whole industry internationally. An Abu Dhabi based investment firm bought 0:15:42.400 --> 0:15:46.320 two billion dollars of a Trump backstable coin. A Chinese 0:15:46.360 --> 0:15:49.200 company called gd Culture Group announced it had raised three 0:15:49.280 --> 0:15:52.200 hundred million dollars to spend on bitcoin and the Trump 0:15:52.240 --> 0:15:57.400 meme coin, and Trump's sec stopped a fraud investigation into 0:15:57.440 --> 0:16:01.160 the Chinese born crypto billionaire just in so after he 0:16:01.200 --> 0:16:04.400 put seventy five million dollars into World Devity Financial. 0:16:04.280 --> 0:16:06.160 Again, it just feels us. 0:16:06.480 --> 0:16:08.920 I mean, it's as little as to say the least, 0:16:09.320 --> 0:16:11.680 But I've got some really good reassuring news. Actually, please, 0:16:12.760 --> 0:16:16.400 The president's crypto adventures are actually in a trust really 0:16:16.560 --> 0:16:22.560 managed by Donald Trump Junior. Now, this is a quote 0:16:22.560 --> 0:16:25.480 in the Financial Time from Richard Painter, who was the 0:16:25.520 --> 0:16:30.440 former chief White House ethics lawyer to President George W. Bush. Quote. 0:16:30.480 --> 0:16:33.920 Every other president since the Civil War has avoided any 0:16:33.960 --> 0:16:38.680 significant financial conflict of interest with their official duties. You know, 0:16:38.800 --> 0:16:42.080 going back to the original Trump administration in twenty sixteen 0:16:42.120 --> 0:16:45.240 to twenty twenty, people have fixated, Oh my god, he's 0:16:45.280 --> 0:16:48.320 getting people spend money in the hotel right right, right, 0:16:48.440 --> 0:16:51.360 right now. It's you know, the Trump family are going 0:16:51.440 --> 0:16:55.520 to be billionaires for generations just from this. 0:16:55.520 --> 0:17:02.000 From this, Yeah, that's incredible. After the break, satellites reveal 0:17:02.080 --> 0:17:05.399 private phone calls. Uber has drivers training, AI and a 0:17:05.440 --> 0:17:09.080 new health tracker guaranteed to make a splash. Then on 0:17:09.200 --> 0:17:12.000 chatting me, a listener's life gets a little greener. 0:17:12.280 --> 0:17:20.960 Stay with us, Welcome back, Hello again, Kara. Do you 0:17:20.960 --> 0:17:24.959 remember this sort of phrase the gig economy, Yeah, of course, 0:17:25.200 --> 0:17:27.720 I mean this idea that you could like also be 0:17:27.800 --> 0:17:30.600 a number driver for like two hours, or deliver a 0:17:30.640 --> 0:17:33.959 package or whatever. It may be. So we're now in 0:17:34.000 --> 0:17:38.240 the meta gig economy, the giga economy. I saw a 0:17:38.240 --> 0:17:42.800 headline in Axios. Uber wants drivers to train AI in 0:17:42.840 --> 0:17:46.439 their free time. No, yeah, So basically the idea is 0:17:46.920 --> 0:17:49.800 you're driving for Uber and you might have some time 0:17:49.840 --> 0:17:52.720 between picking up passengers. That's what do you do? 0:17:52.760 --> 0:17:53.600 You train AI? 0:17:54.000 --> 0:17:56.159 Basically you can do like a one to three minute 0:17:56.240 --> 0:17:59.520 task in the Uber app and get paid, like, you know, 0:17:59.560 --> 0:18:02.320 a dollar. So average time per task is one to 0:18:02.359 --> 0:18:05.800 three minutes. Pay is between fifty cents and a dollar 0:18:05.880 --> 0:18:09.040 per task. So let's see you pull over time for 0:18:09.080 --> 0:18:11.720 your break, you're having your lunch. You basically you get 0:18:11.720 --> 0:18:14.399 a notification saying would you like to do some work 0:18:14.480 --> 0:18:15.919 to get additional income? 0:18:16.240 --> 0:18:17.200 And what are they training? 0:18:17.320 --> 0:18:17.439 Like? 0:18:17.480 --> 0:18:19.159 What are what is the data for? 0:18:19.960 --> 0:18:23.639 So there's a separate AI company which is part of 0:18:23.720 --> 0:18:27.280 Uber called Uber Ai Solutions. It's really to do with 0:18:27.920 --> 0:18:31.919 the kind of human labeling aspect of data that is 0:18:32.000 --> 0:18:33.360 required to train. 0:18:33.280 --> 0:18:34.960 That a computer can't do exactly. 0:18:35.000 --> 0:18:40.920 And then Uber sells their human driven AI data labeling 0:18:41.000 --> 0:18:44.800 and data to other AI companies. The other thing is 0:18:45.080 --> 0:18:48.719 some of this data is being sold onto self driving 0:18:48.760 --> 0:18:53.520 tech companies like Aurora and Tier four. So essentially, the 0:18:53.600 --> 0:18:57.359 uber drivers in their free time, are training AI companies 0:18:57.400 --> 0:18:59.919 to replace human drivers. 0:19:00.119 --> 0:19:02.240 So they're basically training themselves out of a job. 0:19:02.840 --> 0:19:05.400 Do you remember Wiley Coyote. 0:19:04.840 --> 0:19:08.360 Who's a coyote? What is that? That's like payota? 0:19:08.440 --> 0:19:08.960 What do you say? 0:19:09.440 --> 0:19:09.920 Coyote? 0:19:10.040 --> 0:19:11.800 Coyote, coyote. 0:19:11.920 --> 0:19:15.040 It's like a coy little coyote. 0:19:15.760 --> 0:19:18.760 Well, I feel I feel suitably embarrassed now, but you 0:19:18.800 --> 0:19:21.000 know that the image of the yeah, of course, running 0:19:21.040 --> 0:19:24.000 coyote cliff, running off the cliff and he's pedaling his 0:19:24.000 --> 0:19:26.119 feet like crazy. Underneath him, it's nothing but in there, 0:19:26.160 --> 0:19:27.760 and then he realizes and all of a sudden he's 0:19:27.800 --> 0:19:29.160 on the floor. Yes, that's us. 0:19:29.320 --> 0:19:30.399 That's a very good image. 0:19:30.480 --> 0:19:32.159 I saw this week as well as a story in 0:19:32.200 --> 0:19:36.200 Bloomberg about how Open a Eye has hired one hundred bankers. 0:19:36.480 --> 0:19:38.880 Do you see this, No, they're paying them one hundred 0:19:38.920 --> 0:19:42.879 fifty dollars an hour bankers former investment banker to train 0:19:43.080 --> 0:19:47.159 open Aiy's new product to do financial modeling tool financial modeling. 0:19:47.200 --> 0:19:49.640 So so bankers are now being paid one hundred fiey 0:19:49.640 --> 0:19:51.679 dollars an hour to train an open air product to 0:19:51.680 --> 0:19:52.840 do this instead of them. 0:19:52.960 --> 0:19:55.440 So I mean that's putting themselves out of I. 0:19:55.359 --> 0:19:57.680 Mean, one hundred few dollars an hour is nice. Yeah, 0:19:57.680 --> 0:20:01.560 it's better than fifty cents a task. Yeah, But it's 0:20:01.560 --> 0:20:03.320 the same thing where it's like when an't we going 0:20:03.400 --> 0:20:07.600 to wake up and realize that this intermediate opportunity of 0:20:07.640 --> 0:20:11.560 getting some extra cash to train AI is potentially at 0:20:11.600 --> 0:20:14.040 the expense of putting the entire human workforce out of 0:20:14.040 --> 0:20:14.840 business as a business. 0:20:14.880 --> 0:20:18.520