WEBVTT - Week in Tech: The Year of the Robot? 0:00:13.760 --> 0:00:16.880 From Kaleidoscope and iHeart podcasts. This is tech stuff. I'm 0:00:16.920 --> 0:00:18.720 as Volocian and I'm care Price. 0:00:19.079 --> 0:00:22.880 Today We've got two big stories to break down for you. First, 0:00:22.960 --> 0:00:27.200 it's Silicon Valley's Westminster Dog Show. Journalists, tech nerds, industry 0:00:27.240 --> 0:00:30.120 insiders are in Vegas this week to check out the 0:00:30.160 --> 0:00:34.760 Consumer Electronics Show. Then, is your grocery store spying on you? 0:00:35.479 --> 0:00:37.520 And then a few other things that caught our eye 0:00:37.560 --> 0:00:40.239 this week, including Silicon Valley's. 0:00:39.880 --> 0:00:41.760 New rave culture fueled by. 0:00:41.760 --> 0:00:46.800 Chinese peptides and the exceptionally creative influencers and OnlyFans models 0:00:47.080 --> 0:00:48.400 getting US visas. 0:00:48.880 --> 0:00:52.360 All of that on the Weekend Tech. It's Friday, January ninth. 0:00:57.040 --> 0:01:00.400 Hello Cara, hi Azi, How are you very good? 0:01:00.440 --> 0:01:02.920 Happy New Year, Happy New Year to you too. 0:01:03.320 --> 0:01:05.720 So it's our first Weekend Tech of the year. 0:01:06.280 --> 0:01:07.960 It is very excited. 0:01:08.080 --> 0:01:09.000 Right before the holidays. 0:01:09.000 --> 0:01:12.280 People like to do roundups the best of the year 0:01:12.280 --> 0:01:14.080 that went by at the start of the year. 0:01:14.120 --> 0:01:15.039 People like to do. 0:01:15.440 --> 0:01:16.240 What's going to happen? 0:01:16.319 --> 0:01:17.119 What's going to happen? 0:01:17.480 --> 0:01:19.800 I'm you know what my tech prediction is, what I'm 0:01:19.840 --> 0:01:20.960 going to be addicted to my father. 0:01:21.160 --> 0:01:24.080 Yeah, that's not a prediction. That's just as a guarantee. 0:01:24.160 --> 0:01:24.880 That's a prophecy. 0:01:25.200 --> 0:01:27.520 I do actually have one big prediction for you. Tell 0:01:27.560 --> 0:01:28.640 me so. 0:01:28.760 --> 0:01:30.479 I think that people are going to look back at 0:01:30.520 --> 0:01:35.000 twenty twenty six as the year that AI really entered 0:01:35.319 --> 0:01:38.440 the physical world. And I think that became quite clear 0:01:38.600 --> 0:01:41.320 this week at the Consumer Electronics Show. But I actually 0:01:41.319 --> 0:01:44.720 wanted to frame this conversation up about CS with an 0:01:44.840 --> 0:01:48.920 essay I read late last year by faith fee Lee. 0:01:49.080 --> 0:01:49.800 Tell me about it. 0:01:49.800 --> 0:01:53.080 Faith a Lee is the godmother of AI. She is 0:01:53.480 --> 0:01:54.680 you wrote this blog post. 0:01:54.880 --> 0:02:00.560 The title is from Words to Worlds. Spatial intelligence is 0:02:00.640 --> 0:02:03.440 AI's next frontier. To have any idea what that means, I. 0:02:03.720 --> 0:02:07.440 Mean I can guess spatial intelligence meaning like that our 0:02:07.520 --> 0:02:09.760 whole world is sort of mapped with AI. 0:02:10.000 --> 0:02:13.040 Pretty much so is machines in the world with sensors, 0:02:13.120 --> 0:02:16.280 and it's creating fully simulated worlds that. 0:02:16.240 --> 0:02:20.239 Obey the laws of physics. Basically, faith a Lee made 0:02:20.240 --> 0:02:24.680 the case that llms, which power chatbots, are amazing, but 0:02:25.680 --> 0:02:29.040 they're kind of almost like trapped in Plato's cave in 0:02:29.080 --> 0:02:32.560 a weird way because they're not actually seeing the world. 0:02:33.000 --> 0:02:37.000 They're reading text and data that humans or other machines 0:02:37.040 --> 0:02:40.720 have recorded about the world and then extrapolating what the 0:02:40.760 --> 0:02:44.079 world is like from records of the world, rather than 0:02:44.360 --> 0:02:47.600 looking at the world, ingesting it, and understanding its rules 0:02:48.120 --> 0:02:53.040 for themselves like humans do. So this is basically what 0:02:53.200 --> 0:02:53.880 faith A Lee. 0:02:54.000 --> 0:02:56.320 And a lot of others think might be kind of 0:02:56.360 --> 0:02:59.600 the next revolution in computing. It's computers that can actually 0:03:00.080 --> 0:03:03.720 understand the world for themselves rather than interpret it based 0:03:03.720 --> 0:03:07.320 on descriptions of the world. And she basically has argued 0:03:07.360 --> 0:03:09.720 that this will be the next frontiering computing, and that 0:03:09.800 --> 0:03:13.440 to really deliver on the Alan Turing thinking machine promise, 0:03:13.720 --> 0:03:15.720 it can't just be words and numbers. It has to 0:03:15.760 --> 0:03:18.680 be the laws of physics. How gravity is different, how 0:03:18.880 --> 0:03:22.000 pressure is different underwater versus on the surface, how a 0:03:22.120 --> 0:03:24.320 chair moves around a room when you push it depending 0:03:24.400 --> 0:03:27.160 on the fabric of the carpet or the slipperiness of 0:03:27.200 --> 0:03:29.359 the floor. Like these are things now that can only 0:03:29.360 --> 0:03:32.160 be understood in words, But ultimately she wants to build 0:03:32.200 --> 0:03:35.560 machines and algorithms that can understand it for themselves, in 0:03:35.600 --> 0:03:38.400 which case this might be the year I think when 0:03:38.680 --> 0:03:42.040 thinking machines truly enter the room. 0:03:42.120 --> 0:03:42.720 Well, I was just thinking. 0:03:42.720 --> 0:03:45.320 An incredible thing to think about is I've talked to 0:03:45.320 --> 0:03:48.320 you ad nauseum for the last day or two about 0:03:48.320 --> 0:03:50.040 my dog that I've been fastering. 0:03:50.200 --> 0:03:53.520 Yeah, and I just think about a new concern. 0:03:53.120 --> 0:03:55.920 That I have all day long, is like what's going 0:03:55.960 --> 0:03:57.520 on with this dog when I'm not with this dog? 0:03:57.960 --> 0:04:00.360 But like, what if I could have a robot that 0:04:00.400 --> 0:04:04.400 could tend to this dog as like a shadow? And 0:04:04.440 --> 0:04:06.560 you're thinking about, like, oh, how does the physical world 0:04:06.600 --> 0:04:08.120 interact with the robot world? 0:04:08.520 --> 0:04:10.800 Like imagine a dog is like I have my mom 0:04:10.960 --> 0:04:13.040 or I have my dad, and then I have. 0:04:13.080 --> 0:04:15.920 My robot Alpha, who is like the robot self that 0:04:15.960 --> 0:04:17.080 takes care of the dog too. 0:04:17.080 --> 0:04:19.480 And who's the real boss You're at the robot. 0:04:19.560 --> 0:04:23.080 Yeah, that's when robots take When dogs are. 0:04:22.960 --> 0:04:25.120 Listening to the dog, you and the robot are standing 0:04:25.200 --> 0:04:26.159 next to each other and you're like. 0:04:26.160 --> 0:04:29.560 Come here, come here, pal, and the dog goes up 0:04:29.600 --> 0:04:30.200 to the robot. 0:04:30.480 --> 0:04:31.320 That's that's the future. 0:04:31.520 --> 0:04:36.680 That is that's when humans, by the way, dogs answering 0:04:36.720 --> 0:04:38.960 to robots is when humans will really be like, we 0:04:39.000 --> 0:04:40.440 got to get these robots out of the question. 0:04:40.520 --> 0:04:43.240 I think that's right. What about you do you have 0:04:43.279 --> 0:04:44.040 any twenty twenty. 0:04:44.080 --> 0:04:48.360 These predictions, Well, this is not a prediction that I've invented. 0:04:48.400 --> 0:04:50.039 This is a prediction that's based on a lot of 0:04:50.040 --> 0:04:52.880 reading that I've done on Business Insider and the Ft and. 0:04:53.040 --> 0:04:53.640 Showing off. 0:04:55.480 --> 0:04:58.000 Sor Tim Cook. I think is going to step down 0:04:58.040 --> 0:04:58.560 from Apple. 0:04:58.760 --> 0:05:01.240 I saw a headline about that. I didn't dive too 0:05:01.240 --> 0:05:02.920 deep on it. What are people saying. 0:05:02.800 --> 0:05:05.960 He's nearing retirement age, which, you know, it's not something 0:05:06.000 --> 0:05:09.280 that's going to be like a hostile takeover, you know. 0:05:09.320 --> 0:05:10.800 I think it's not going to be something that the 0:05:10.839 --> 0:05:14.440 average person like finds perceptible as far as change. I 0:05:14.480 --> 0:05:17.920 think that he will step down and kind of lead 0:05:18.000 --> 0:05:21.479 from behind the scenes. A lah a Jeff Bezos, I 0:05:21.480 --> 0:05:22.680 mean it's a hard job. 0:05:23.000 --> 0:05:25.359 I guess Apple's obviously a behemoth. And you know, the 0:05:25.400 --> 0:05:28.440 iPhone sales have been robust. The other stuff they've tried, 0:05:28.480 --> 0:05:30.880 like the vision pro goggles they've stepped back from the 0:05:30.920 --> 0:05:32.080 car never happened. 0:05:32.640 --> 0:05:34.440 The TV thing is kind of I mean, it's not. 0:05:34.839 --> 0:05:37.520 You know what I was actually thinking about it apples 0:05:37.560 --> 0:05:40.600 TV has worked, like if you look at the Emmys 0:05:40.640 --> 0:05:42.440 and the Critics' Choice Awards and the Golden globes like 0:05:42.640 --> 0:05:44.920 they've kind of dominated this year. True in a way 0:05:44.920 --> 0:05:47.120 that I mean, I don't know if you would attribute 0:05:47.120 --> 0:05:48.880 that to Tim Cook necessarily. 0:05:48.400 --> 0:05:51.120 But I guess if he could choose an Emmy or 0:05:51.160 --> 0:05:56.160 having invented chet GPTR. 0:05:54.120 --> 0:05:56.360 Respectology colleagues on the West Coast. 0:05:56.520 --> 0:05:58.960 That's absolutely true. That's absolutely true. 0:05:59.120 --> 0:06:01.440 You know. The other thing is that, speaking of our 0:06:01.480 --> 0:06:04.080 friends in Hollywood, the thing that I've noticed a lot 0:06:04.120 --> 0:06:08.520 of retired men do is they start production companies because 0:06:08.520 --> 0:06:10.520 they like to be in the entertainment business. So who knows, 0:06:10.520 --> 0:06:14.200 maybe Tim Apple will start a production company with Apple Studios. 0:06:14.200 --> 0:06:15.000 I have no idea. 0:06:15.080 --> 0:06:17.560 So yes, my prediction is the robot will enter the 0:06:17.640 --> 0:06:20.440 room and yours this Tim Apple will exit the room. 0:06:20.640 --> 0:06:22.280 That's right, Okay, perfect. 0:06:23.160 --> 0:06:26.520 One tech CEO. I don't think it's going anywhere, is Jensen. 0:06:26.800 --> 0:06:27.840 He's not going back to Dennis. 0:06:27.839 --> 0:06:29.240 He's not going back to Denny's. 0:06:29.480 --> 0:06:31.760 I wonder if he passes Denny's and he's like, I can't. 0:06:32.000 --> 0:06:32.640 No, I'm sure. 0:06:32.800 --> 0:06:34.560 I feel like it's a big part of his mythology. 0:06:35.240 --> 0:06:38.080 He was at the Consumer Electronics Show this week, of 0:06:38.120 --> 0:06:42.039 coursees delivering a keynote, and I count with my twenty 0:06:42.080 --> 0:06:45.040 twenty six prediction before I read his remarks, which is 0:06:45.080 --> 0:06:49.040 probably quite dumb, but because he is remarked, luckily we're 0:06:49.040 --> 0:06:51.320 in line with my twenty twenty six prediction. He said 0:06:51.640 --> 0:06:53.839 this will be the year when there's a chet GPT 0:06:54.080 --> 0:06:58.000 moment for physical AI. This is not a disinterested statement. 0:06:58.040 --> 0:07:01.000 Because Nvidio also announced they're getting into the self driving 0:07:01.000 --> 0:07:01.640 car business. 0:07:01.720 --> 0:07:03.640 Yes, I saw that, and this is. 0:07:03.560 --> 0:07:08.880 Pretty interesting because previously you had Tesla sales falling Waymo 0:07:09.160 --> 0:07:14.480 as the dominant players in US self driving robotaxis, and 0:07:14.520 --> 0:07:17.360 it seemed like a two horse race. But part of 0:07:17.360 --> 0:07:20.080 in Vidia's announcement was a partnership with Mercedes where they're 0:07:20.080 --> 0:07:23.239 basically going to plug their software into other car makers. 0:07:23.280 --> 0:07:24.320 They're in the car business. 0:07:24.360 --> 0:07:25.960 They're not in the car business, but they're all of 0:07:25.960 --> 0:07:29.240 a sudden kind of a competitor to their clients, right, 0:07:29.280 --> 0:07:30.360 which is really interesting. 0:07:30.440 --> 0:07:32.840 That is very interesting. Do you think it's something that's 0:07:32.840 --> 0:07:33.280 going to work. 0:07:34.600 --> 0:07:35.080 I wouldn't. 0:07:35.160 --> 0:07:38.680 I mean you you're you're the Innvidia shareholder that's against 0:07:38.680 --> 0:07:39.360 your dear leader. 0:07:39.480 --> 0:07:40.520 No, No, I wouldn't. 0:07:40.880 --> 0:07:42.920 And I think it's very smart to not actually be 0:07:42.960 --> 0:07:45.480 in the car design business. I think it's very smart 0:07:45.480 --> 0:07:47.720 to like put your software in a pre existing car. 0:07:47.880 --> 0:07:50.400 Probably if you're if you're Mercedes who are doing the partnership, 0:07:50.480 --> 0:07:52.360 or other auto makers, you're like, oh, this like a hail. 0:07:52.440 --> 0:07:55.120 Mary's well, I think we have a chance of plugging 0:07:55.120 --> 0:07:57.000 this in and catching up, which is which is really 0:07:57.000 --> 0:08:00.000 really interesting. But he wasn't just talking about this self 0:08:00.040 --> 0:08:02.080 driving car partnership. He was pointing at this kind of 0:08:02.560 --> 0:08:05.280 robotic revolution. He likes hanging out with robots. We talked 0:08:05.320 --> 0:08:07.200 about Earli last year. Remember he got the high five 0:08:07.240 --> 0:08:08.960 from the humanoid robot. 0:08:08.720 --> 0:08:10.400 On his trip I Do, I Do? 0:08:11.360 --> 0:08:14.559 And another king of the self driving car world, Elon 0:08:14.680 --> 0:08:17.360 himself is kind of seemingly more interested in. 0:08:17.400 --> 0:08:20.440 Humanoid robots than self driving cars. Now he's moved on, 0:08:20.520 --> 0:08:21.080 he's moved on. 0:08:21.160 --> 0:08:24.400 He's definitely this time last year, optimist robot was hanging 0:08:24.400 --> 0:08:27.320 out with Kim, and it seemed last year like a 0:08:27.360 --> 0:08:29.640 pure gimmick. And now twelve months later there's a big 0:08:29.640 --> 0:08:32.080 Wall Street Journal story saying that Elon is pivoting the 0:08:32.080 --> 0:08:34.040 whole business to be human optimist robots. 0:08:34.040 --> 0:08:36.920 So it is interesting as this year I'd like to 0:08:36.920 --> 0:08:40.079 meet Kim. This year we'll see. 0:08:40.240 --> 0:08:44.280 So humanoid robots stole the show at CS this year. 0:08:44.559 --> 0:08:45.720 Did you see any of the videos? 0:08:45.840 --> 0:08:46.160 Yes? 0:08:46.320 --> 0:08:47.680 What did you? What did you see? 0:08:48.400 --> 0:08:50.800 I think it was? Was it Tesla that I saw? 0:08:50.880 --> 0:08:53.360 You? Mintioned Tesla. I'm going to show you Boston Dynamics. 0:08:53.720 --> 0:08:56.920 Dynamics, Yes, show me the spot the dog famously they did. 0:08:57.000 --> 0:09:00.000 They've now got Atlas, the person a. 0:09:00.000 --> 0:09:00.640 Booty hun her. 0:09:01.040 --> 0:09:01.600 What are you seeing? 0:09:02.240 --> 0:09:05.280 So I'm seeing the biggest nerd on the planet. 0:09:05.400 --> 0:09:08.040 It kind of reminds me of Elizabeth Holmes when something 0:09:08.040 --> 0:09:11.520 good happens with Faranos coming out and doing like one 0:09:11.559 --> 0:09:13.640 of those like kick dancers. 0:09:13.840 --> 0:09:18.520 It's an extremely flexible humanoid robot doing cotwheels, doing Russian 0:09:18.559 --> 0:09:19.520 Cossack dancing. 0:09:19.960 --> 0:09:21.640 That is what it is, russian'd. 0:09:21.960 --> 0:09:24.520 Yeah, it's incredible that they've trained them to do this. 0:09:24.840 --> 0:09:29.000 It is And so Hyundai, who actually bought Boston Dynamics 0:09:29.080 --> 0:09:30.720 lost this robot Atlas. 0:09:31.160 --> 0:09:33.520 It can lift up to one hundred and ten pounds. 0:09:33.640 --> 0:09:36.760 It can work in temperatures between minus four degrees fahrenheit 0:09:36.840 --> 0:09:38.440 up to one hundred and four degrees. 0:09:38.160 --> 0:09:40.000 Assud of the problem of needing cooling centers. 0:09:40.200 --> 0:09:42.600 You don't and actually the battery is pretty amazing as well. 0:09:42.760 --> 0:09:45.800 Last time, like when humanoid robots were last on sixty minutes, 0:09:45.840 --> 0:09:47.760 had these huge hunchback of notre. 0:09:47.640 --> 0:09:49.400 Dam story packs, battery packs. 0:09:49.400 --> 0:09:51.600 But now it's just a pure human form essentially, which 0:09:51.600 --> 0:09:55.480 is kind of interesting. They're planning to produce thirty thousand 0:09:55.679 --> 0:09:58.520 of these robots per year, with the goal of them 0:09:58.679 --> 0:10:01.679 working on factory flos by twenty twenty eight. 0:10:01.679 --> 0:10:04.080 They're like, humans can't work in hard enough environments. We 0:10:04.120 --> 0:10:04.920 need to make robot. 0:10:05.040 --> 0:10:05.880 Well, I mean, I guess. 0:10:05.760 --> 0:10:07.120 It's a that's a good thing. 0:10:07.679 --> 0:10:08.480 It could be a good thing. 0:10:08.520 --> 0:10:10.160 I mean, I look, I don't know if these are 0:10:10.160 --> 0:10:13.000 actually going to replace humans on the factory floor, but 0:10:13.120 --> 0:10:16.280 certainly they've got everyone talking about Hyundai for the first 0:10:16.280 --> 0:10:19.080 time in a while, I don't talk about human So 0:10:19.559 --> 0:10:23.640 those are humanoid robots designed by Hyundai to be factory workers. LG, 0:10:24.440 --> 0:10:28.679 another South Korean tech firm, also made waves of cs 0:10:28.679 --> 0:10:34.280 this year with its robot called Cloyd Cloud. Lloyd claud 0:10:34.480 --> 0:10:37.920 Lloyd Cloud exactly, which ladders up to a vision. 0:10:37.920 --> 0:10:38.760 Do you know what the vision is? 0:10:38.800 --> 0:10:39.480 What is the vision? 0:10:39.880 --> 0:10:42.120 The zero labor home that's I'm looking for. 0:10:42.120 --> 0:10:44.800 I was just thinking, if I have to do another 0:10:44.840 --> 0:10:47.439 load of laundry, like it's Sissifian the cloud. 0:10:47.480 --> 0:10:49.640 Literally Cloyd literally does the laundry. 0:10:49.800 --> 0:10:50.520 Can I try this? 0:10:50.800 --> 0:10:52.480 Yeah, of course, Eliza. 0:10:53.160 --> 0:10:56.480 Cloyd can remove dishes from the dishwasher, what heat up 0:10:56.520 --> 0:10:58.680 food in the oven? This is this is not a 0:10:58.720 --> 0:11:01.040 domestic home now, this is domestic laborer. 0:11:01.200 --> 0:11:01.880 Oh my god. 0:11:02.280 --> 0:11:05.400 It can interact seamlessly with other LG devices like your 0:11:05.440 --> 0:11:07.000 fridge and your cooker. 0:11:07.320 --> 0:11:09.240 So it is the connected home that then has the 0:11:09.360 --> 0:11:10.960 robot that's running your connected. 0:11:10.760 --> 0:11:13.680 The robot is the is the conductor to the symphony 0:11:14.160 --> 0:11:15.080 of your connected home. 0:11:15.160 --> 0:11:16.880 Not particularly opposed to this, I got to. 0:11:16.840 --> 0:11:19.800 Say these were of the only humanoid robots who took 0:11:20.400 --> 0:11:24.080 CS by storm. There was also the switchbot one row 0:11:24.440 --> 0:11:27.520 h one that can fill a coffee machine, make breakfast, 0:11:27.720 --> 0:11:31.679 wash the windows. And then there's the one EX Neo robot. 0:11:31.880 --> 0:11:35.320 This one is kind of interesting because it doesn't have 0:11:35.400 --> 0:11:38.040 the best fine motor control, which I think is true 0:11:38.040 --> 0:11:40.160 of all of these robots. So if you have a 0:11:40.200 --> 0:11:42.960 one X Neo robot in your home, you have to 0:11:43.040 --> 0:11:47.200 consent to the fact that it will sometimes switch into 0:11:47.240 --> 0:11:50.600 a mode where it's being human controlled, so there will 0:11:50.679 --> 0:11:54.959 be somebody looking through your robot into your home, wearing 0:11:55.080 --> 0:11:58.480 some kind of like haptic suit, doing what the robot 0:11:58.600 --> 0:11:59.120 needs to do. 0:12:00.480 --> 0:12:01.240 It's like Avatar. 0:12:01.720 --> 0:12:03.959 Can you imagine buying your robot and then having somebody 0:12:04.040 --> 0:12:07.840 sitting four thousand miles away in your house, yes, doing 0:12:07.960 --> 0:12:09.120 your domestic. 0:12:10.600 --> 0:12:10.960 Robots. 0:12:11.520 --> 0:12:14.520 The jobs created by robots are people working thousands of 0:12:14.559 --> 0:12:16.920 miles away to operate robots in your home. 0:12:17.440 --> 0:12:19.239 It's a bizarre Also. 0:12:19.040 --> 0:12:23.320 Like I wouldn't really want camera in my home, which 0:12:23.360 --> 0:12:24.439 is external. 0:12:24.160 --> 0:12:25.719 And we'll talk about this in my next story. But 0:12:25.760 --> 0:12:27.600 there are also places where I don't want cameras. 0:12:27.840 --> 0:12:28.959 Yeah, I want to hear about that. 0:12:29.400 --> 0:12:31.800 Just before we turn away from CS, there was some 0:12:31.880 --> 0:12:35.440 other robots which are pretty cool but not humanoid. Tell 0:12:35.480 --> 0:12:42.199 me there's the anchor Uphie s two vacuum. It's rumba 0:12:42.520 --> 0:12:45.760 with them up and it can travel between carpeted areas, 0:12:46.360 --> 0:12:48.280 then go to the hard floor to mop it, come 0:12:48.320 --> 0:12:51.640 back to the carpeted area. No water spilled, anything like that. 0:12:51.720 --> 0:12:55.319 And Cara has an aromatherapy. 0:12:54.559 --> 0:12:56.520 Diffuser, Oh my god. 0:12:56.800 --> 0:13:00.600 And then finally smart fridges which can scan your empty 0:13:00.640 --> 0:13:03.959 packages and add them to a shopping list for the 0:13:04.000 --> 0:13:06.680 next grocery run. So it's a camera inside the fridge 0:13:07.160 --> 0:13:09.480 that accesses an app while shopping, so. 0:13:09.520 --> 0:13:11.559 Kind of remind you either on nine or in the 0:13:11.600 --> 0:13:12.960 real world. Yeah, or you need to buy it. 0:13:13.000 --> 0:13:17.360 I mean it is like on a macro level, pretty 0:13:17.360 --> 0:13:19.920 incredible the way in which technology is like filling the 0:13:19.960 --> 0:13:21.880 gaps and what humans can do, and also just like 0:13:22.240 --> 0:13:24.760 taking care of time, Like all these things are very 0:13:24.840 --> 0:13:27.320 time intensive. The question is is like is it time 0:13:27.360 --> 0:13:29.800 that we want to eradicate, Like do we want to not. 0:13:29.720 --> 0:13:32.679 Go to the grocery store. What are we supposed to 0:13:32.679 --> 0:13:33.640 be doing instead. 0:13:34.480 --> 0:13:35.400 Working on our computer? 0:13:36.040 --> 0:13:36.559 Exactly? 0:13:36.679 --> 0:13:39.280 That is the conundrum of the I have to work 0:13:39.360 --> 0:13:42.240 all the time, so then when do I do things 0:13:42.240 --> 0:13:45.960 which are non compensated labor but very important, like yeah, 0:13:46.000 --> 0:13:47.880 the house up is that? That's like, yes, so I 0:13:48.000 --> 0:13:49.800 never I never do the things that I need to 0:13:49.840 --> 0:13:52.000 do which are not directly work related, Like I have 0:13:52.080 --> 0:13:54.400 such a long list of annoying personal things. 0:13:54.520 --> 0:13:56.320 We call it personal ad personal admin. 0:13:56.440 --> 0:13:58.640 Yes, I never get through it. Yes, I don't know if, 0:13:58.640 --> 0:14:00.640 but it doesn't tend to be still if the robot 0:14:00.679 --> 0:14:02.240 could do not yet not yet. 0:14:02.280 --> 0:14:04.680 I mean I still think the idea of like, I 0:14:04.760 --> 0:14:07.080 live in an apartment building where not only humans live, 0:14:07.120 --> 0:14:08.360 but a humanoid robot lives. 0:14:08.400 --> 0:14:09.480 Like how far out are we on. 0:14:09.440 --> 0:14:12.120 That you will go to somebody's house this year, I bet, 0:14:12.160 --> 0:14:13.040 and they'll have a robot. 0:14:13.160 --> 0:14:18.800 That's crazy. Okay, we'll see. I obviously did not get 0:14:18.800 --> 0:14:23.160 to Cees this week. I did, though, get to Wegmans. 0:14:22.800 --> 0:14:24.960 The grocery store, yes, the grocery. 0:14:24.520 --> 0:14:27.560 Store, because I read this article in the Gothamis that 0:14:27.600 --> 0:14:30.800 the grocery store chain was using facial recognition software in 0:14:30.840 --> 0:14:32.320 their NYC location. 0:14:32.560 --> 0:14:34.640 Well wow, what did the goemists find out about this? 0:14:35.080 --> 0:14:39.000 So actually, a city law in twenty twenty one requires 0:14:39.000 --> 0:14:40.960 stores to put up a sign if they use facial 0:14:41.000 --> 0:14:46.080 recognition software, so Wegmans complied. The funny thing is I 0:14:46.160 --> 0:14:48.760 went to Wegmans, and I really had to search for 0:14:48.800 --> 0:14:52.120 this sign. And Wegmans might disagree with me because there 0:14:52.200 --> 0:14:55.520 was a sign on the door, But the way in 0:14:55.560 --> 0:14:57.800 which I had to look for it, because it was 0:14:57.840 --> 0:15:00.800 like sliding in and out of view on the automatic door, 0:15:01.000 --> 0:15:01.960 really made me laugh. 0:15:02.240 --> 0:15:05.000 So you went to Wegmans looking for the sign, you 0:15:05.000 --> 0:15:06.960 hadn't been looking for the sign, you wouldn't have seen it. 0:15:07.080 --> 0:15:09.720 So there were people that I talked to and I 0:15:09.840 --> 0:15:11.880 pointed out the sign to them when I went to 0:15:11.880 --> 0:15:13.080 the store, and they were like, no, I. 0:15:13.000 --> 0:15:13.600 Didn't notice that. 0:15:13.600 --> 0:15:14.400 I didn't recognize that. 0:15:14.400 --> 0:15:15.080 I didn't see that. 0:15:15.520 --> 0:15:17.880 Because if you're not looking for it, I think we're 0:15:17.960 --> 0:15:20.880 so used to just seeing signs up and if there 0:15:20.920 --> 0:15:23.440 don't apply, Like, I've never looked at pet signs until recently. 0:15:23.760 --> 0:15:25.440 So you found the sign. What did it say? 0:15:25.760 --> 0:15:31.200 It said, quote biometric identifier information collected at this location. Then, 0:15:31.240 --> 0:15:39.800 in much finer print, quote Wegman's Food Market, Inc. Collects, retains, converts, stores, 0:15:39.960 --> 0:15:45.840 or shares customers biometric identifier information, which may include facial recognition, 0:15:46.280 --> 0:15:47.920 eye scans, and voice prints. 0:15:48.240 --> 0:15:52.280 Of those two verbs, converts and shares stand out to 0:15:52.280 --> 0:15:55.680 me as convert, I'm like converts into what shares with whom? 0:15:55.960 --> 0:15:58.920 So Gofmus actually asked Wegmans about how they were storing 0:15:58.960 --> 0:16:01.240 the data, how long they were storing it for, and 0:16:01.280 --> 0:16:04.120 how the company would share this data with law enforcement. 0:16:05.400 --> 0:16:07.360 Surprise surprise, Wegmans did. 0:16:07.240 --> 0:16:11.240 Not reply, Okay, what you've been been bearing the leave 0:16:11.320 --> 0:16:12.359 for a while. Now. 0:16:12.440 --> 0:16:14.440 What this is is this? What is this is a 0:16:14.520 --> 0:16:17.160 customer retention to safety thing safety. 0:16:17.320 --> 0:16:21.960 Yes, so the sign says, quote, we use facial recognition 0:16:22.000 --> 0:16:25.280 technology to protect the safety and security of our patrons 0:16:25.320 --> 0:16:30.080 and employees and do not lease, trade, or otherwise profit 0:16:30.360 --> 0:16:33.280 from the transfer of biometric identify or information. 0:16:34.160 --> 0:16:37.080 It is interesting because like in New York they now 0:16:37.160 --> 0:16:39.560 have like you know these like plastic. 0:16:39.160 --> 0:16:41.200 Covers on everything in CBS. 0:16:41.000 --> 0:16:43.080 So that you can't sell the people shoplift. 0:16:43.320 --> 0:16:46.880 I mean, this is just replacing the old Have you seen. 0:16:46.720 --> 0:16:48.240 This person right now? 0:16:48.240 --> 0:16:48.720 You know what I mean? 0:16:48.760 --> 0:16:51.880 Like, you go into any bodega or any sort of 0:16:52.000 --> 0:16:55.000 like smoke shop and there's been a shoplifter and they 0:16:55.040 --> 0:16:57.840 have a photo from the camera that is so blurry 0:16:57.840 --> 0:17:00.960 that you can't even see if this person is a person. Now, 0:17:01.000 --> 0:17:03.240 what we have is a company that has a lot 0:17:03.240 --> 0:17:07.800 of money to invest in software and basically they can 0:17:07.920 --> 0:17:10.520 capture any face and cross reference that face if that 0:17:10.560 --> 0:17:12.600 face has been known to shoplift. 0:17:12.800 --> 0:17:15.959 Yeah, but it's also like if you haven't been shoplifting. 0:17:16.040 --> 0:17:19.720 Like the idea that you can be personally identified every 0:17:19.800 --> 0:17:21.639 time you go into a shop and cross reference to 0:17:21.720 --> 0:17:22.560 older weird. 0:17:22.760 --> 0:17:25.280 It's like, you know, you didn't leave your wallet in 0:17:25.320 --> 0:17:25.640 the shop. 0:17:25.680 --> 0:17:28.800 You left your whole identity there that's right to be shared, converted, 0:17:28.880 --> 0:17:30.160 and whatever else that will. 0:17:30.240 --> 0:17:33.040 It's just a very strange phenomenon. So I actually talked 0:17:33.080 --> 0:17:35.679 to a few people, and luckily I had a very 0:17:35.720 --> 0:17:38.680 intelligent woman who had seen the same Gothmass article I had. 0:17:39.400 --> 0:17:42.919 I approached her and said to her, you, did you 0:17:43.040 --> 0:17:46.200 know that facial recognition technology was being used at this Wegman? 0:17:46.320 --> 0:17:48.439 She said, I knew it was being used at Wegmans. 0:17:48.440 --> 0:17:50.840 I thought it was at the Wegmans in Brooklyn, and 0:17:50.920 --> 0:17:53.520 that she actually hadn't clocked the side in the Manhattan store. 0:17:53.640 --> 0:17:55.560 The only reason she knew about it was because she 0:17:55.600 --> 0:17:56.760 had read the Gothmist article. 0:17:56.760 --> 0:17:57.639