1 00:00:01,760 --> 00:00:04,960 Speaker 1: Also media. 2 00:00:05,760 --> 00:00:12,360 Speaker 2: Oh oh, for Jesus, I just spit cigarettes across the room. 3 00:00:12,280 --> 00:00:14,280 Speaker 3: Spit approximately seven cigarette. 4 00:00:14,880 --> 00:00:17,040 Speaker 2: I had a number of them in my mouth. Welcome 5 00:00:17,120 --> 00:00:20,599 Speaker 2: back to it could happen here a podcast about things 6 00:00:20,720 --> 00:00:24,040 Speaker 2: falling apart, and you know what's constantly falling apart? But 7 00:00:24,079 --> 00:00:28,360 Speaker 2: also never Las Vegas, Nevada, where Garrison and I are 8 00:00:28,840 --> 00:00:32,479 Speaker 2: right now reporting on the Consumer Electronics Show, which is 9 00:00:32,479 --> 00:00:34,519 Speaker 2: why I just had seven cigarettes in my mouth. How 10 00:00:34,520 --> 00:00:35,560 Speaker 2: you doing, buddy, great? 11 00:00:35,560 --> 00:00:38,880 Speaker 3: We just lost about twenty dollars at Excalifer. 12 00:00:39,080 --> 00:00:42,160 Speaker 2: Yeah, one of the worst hotels on the Strip. Terrible place, 13 00:00:42,479 --> 00:00:45,120 Speaker 2: horrible place. But I smoked a lot of cigarettes there, 14 00:00:45,159 --> 00:00:47,400 Speaker 2: so it's not bad. I don't even like them. I 15 00:00:47,479 --> 00:00:50,000 Speaker 2: just like doing things I can't do other. 16 00:00:49,920 --> 00:00:51,640 Speaker 3: Place, like smoking indoors, is what you're saying. 17 00:00:51,680 --> 00:00:54,520 Speaker 2: I do. I'm a big fan of it. Other things. 18 00:00:54,520 --> 00:00:57,840 Speaker 2: I'm a big fan of innovative technology products of which 19 00:00:57,920 --> 00:01:02,000 Speaker 2: we saw perhaps very few, perhaps three today. What we 20 00:01:02,040 --> 00:01:06,399 Speaker 2: did do is spend seven to eight cumulative hours in 21 00:01:06,480 --> 00:01:12,480 Speaker 2: different roundtable discussions of various industry experts on AI and 22 00:01:12,520 --> 00:01:14,480 Speaker 2: the future they have prepared for us. All we have 23 00:01:14,520 --> 00:01:16,840 Speaker 2: a fun episode coming for you. Are a couple of 24 00:01:16,880 --> 00:01:19,600 Speaker 2: them about AI and what the tech industry wants for 25 00:01:19,680 --> 00:01:24,920 Speaker 2: us all. But because Garrison got too drunk tonight. 26 00:01:24,760 --> 00:01:25,880 Speaker 3: That's not true. 27 00:01:26,360 --> 00:01:30,560 Speaker 2: Well, someone got too drunk tonight, and I'm not at 28 00:01:30,560 --> 00:01:33,280 Speaker 2: liberty to discuss who. We're going to talk about the 29 00:01:33,280 --> 00:01:37,520 Speaker 2: products today that were just absolute fucking catastrophes. And in 30 00:01:37,600 --> 00:01:39,280 Speaker 2: order to help us talk about that, I would like 31 00:01:39,360 --> 00:01:43,679 Speaker 2: to bring in our pinch hitting guest star slash technological expert, 32 00:01:44,080 --> 00:01:46,600 Speaker 2: Tavia Mora. Tavia, how you doing. 33 00:01:47,040 --> 00:01:47,760 Speaker 4: I'm doing great. 34 00:01:48,240 --> 00:01:51,240 Speaker 2: How did you like your first cees? As a journalist, 35 00:01:52,520 --> 00:01:52,760 Speaker 2: it's a. 36 00:01:52,760 --> 00:01:56,200 Speaker 4: Little different, but I was glad to get into places 37 00:01:56,200 --> 00:01:57,520 Speaker 4: I would not otherwise get into. 38 00:01:57,760 --> 00:02:01,480 Speaker 2: Yeah, now, because you are an industry person, he'll build 39 00:02:01,480 --> 00:02:05,120 Speaker 2: that big sphere thing people might know you hate. Well, 40 00:02:05,160 --> 00:02:08,600 Speaker 2: you have no journalistic record, which means you and I 41 00:02:08,639 --> 00:02:10,720 Speaker 2: had to have a good time lying to a lot 42 00:02:10,720 --> 00:02:15,160 Speaker 2: of strangers today. Was it easy? Yes, it always says, 43 00:02:15,400 --> 00:02:18,480 Speaker 2: that's the beauty allying to strangers. It's never hard. Anyway, 44 00:02:18,760 --> 00:02:23,080 Speaker 2: let's get into the products for the day. Let's talk 45 00:02:23,120 --> 00:02:26,320 Speaker 2: about the dumbest and again, folks, there's actually a lot 46 00:02:26,360 --> 00:02:28,600 Speaker 2: of cool stuff we saw. There's some really interesting things. 47 00:02:28,919 --> 00:02:32,560 Speaker 2: This is purely the bullshit. So let's roll on with 48 00:02:32,600 --> 00:02:38,040 Speaker 2: the bullshit. What is our first piece of trash, Guest contestants, Let's. 49 00:02:37,840 --> 00:02:40,960 Speaker 3: Just jump straight in and go to the Israel Pavilion. 50 00:02:41,120 --> 00:02:44,399 Speaker 2: You're right, You're right, Okay, Tommy, bring me that next 51 00:02:44,480 --> 00:02:47,000 Speaker 2: drink I've got over there in the corner. So I 52 00:02:47,000 --> 00:02:49,520 Speaker 2: don't know if you guys are aware, but there's some 53 00:02:49,600 --> 00:02:53,959 Speaker 2: controversy around Israel and a number of other aspects. 54 00:02:54,040 --> 00:02:56,120 Speaker 3: But by far the most agregious crime. 55 00:02:57,520 --> 00:03:00,680 Speaker 2: That is not something we should say, but you know, 56 00:03:00,760 --> 00:03:04,200 Speaker 2: a lot of problems are e that part of the world. 57 00:03:04,280 --> 00:03:06,480 Speaker 2: And they have a pavilion every year at CEES because 58 00:03:06,520 --> 00:03:11,320 Speaker 2: the country that calls itself Israel has a significant tech industry. 59 00:03:11,400 --> 00:03:15,600 Speaker 2: So we went down there some interesting stuff occasionally, not 60 00:03:15,760 --> 00:03:20,320 Speaker 2: this year. This year it was all trash. And I 61 00:03:20,400 --> 00:03:22,840 Speaker 2: tried one product at the Israel Pavilion and it was 62 00:03:22,840 --> 00:03:27,160 Speaker 2: from the company I Aroma Sense. And I'm been going 63 00:03:27,160 --> 00:03:29,640 Speaker 2: to CEES for about fifteen years now, off and on, 64 00:03:30,120 --> 00:03:32,600 Speaker 2: and I feel like every three years another company is like, 65 00:03:32,639 --> 00:03:35,880 Speaker 2: We're going to find a way to add smell to 66 00:03:35,960 --> 00:03:41,480 Speaker 2: your television or gaming experience. First off, I like TV, 67 00:03:41,800 --> 00:03:44,240 Speaker 2: I like video games. Never once have I wanted to 68 00:03:44,240 --> 00:03:46,960 Speaker 2: smell them. That has never occurred to me. Garrison, if 69 00:03:46,960 --> 00:03:49,240 Speaker 2: you ever wanted to smell a thing in a video game? No, 70 00:03:49,280 --> 00:03:52,640 Speaker 2: not really, No, No, nobody does. Nobody does, because smell 71 00:03:52,720 --> 00:03:55,800 Speaker 2: is our most finicky sense. Seeing things is even terrible 72 00:03:55,800 --> 00:03:57,000 Speaker 2: things is always interesting. 73 00:03:57,120 --> 00:03:59,920 Speaker 3: Right I want to smell my way through Silent Hill too, 74 00:04:00,280 --> 00:04:01,640 Speaker 3: right time, I. 75 00:04:01,640 --> 00:04:03,160 Speaker 2: Don't want to do that. I don't want to smell 76 00:04:03,040 --> 00:04:05,120 Speaker 2: my way through Grand Theft Auto three, Like that's a 77 00:04:05,160 --> 00:04:05,880 Speaker 2: horrible time. 78 00:04:06,200 --> 00:04:08,840 Speaker 4: And also, frankly, Las Vegas is so full of smells, 79 00:04:09,120 --> 00:04:09,840 Speaker 4: I think I'm good. 80 00:04:09,840 --> 00:04:12,240 Speaker 3: Oh my god, we had it. We walked through so 81 00:04:12,320 --> 00:04:16,000 Speaker 3: many just suck egregious odors today. 82 00:04:16,800 --> 00:04:20,640 Speaker 2: So we walk up to this the most controversial year 83 00:04:20,720 --> 00:04:24,039 Speaker 2: for the Israel Pavilion to exist, and the only place 84 00:04:24,080 --> 00:04:26,480 Speaker 2: we stop because I see Irama sense, and I have 85 00:04:26,560 --> 00:04:29,960 Speaker 2: a thing. I've tried out every smell product that Cees 86 00:04:30,080 --> 00:04:32,960 Speaker 2: has had in the last decade and change, and I 87 00:04:33,000 --> 00:04:34,839 Speaker 2: sit in front of this one and there's like this 88 00:04:34,839 --> 00:04:39,240 Speaker 2: this thing that looks like a toilet seat attached to 89 00:04:39,320 --> 00:04:42,560 Speaker 2: a computer, and they're like, you sit in front of it, 90 00:04:42,720 --> 00:04:47,000 Speaker 2: and you select the smell and you'll you'll experience the scent, 91 00:04:47,120 --> 00:04:49,200 Speaker 2: and you could have this in a video game or 92 00:04:49,240 --> 00:04:51,800 Speaker 2: a picture a friend or a lover sends you. So 93 00:04:51,960 --> 00:04:54,040 Speaker 2: sit down and I look at the menu and one 94 00:04:54,080 --> 00:04:56,240 Speaker 2: of the options is P and E. S Who doesn't 95 00:04:56,279 --> 00:04:58,440 Speaker 2: like an iced p and e? Right, So I select 96 00:04:58,480 --> 00:05:02,440 Speaker 2: it and I could shot in the eyes and nose. 97 00:05:02,960 --> 00:05:07,200 Speaker 2: It burns. There's alcohol in there. It's like somebody maced 98 00:05:07,279 --> 00:05:11,359 Speaker 2: me with perfume. Like it was not subtle. It was 99 00:05:11,440 --> 00:05:14,560 Speaker 2: not like an elegant experience. It was like somebody It 100 00:05:14,600 --> 00:05:18,320 Speaker 2: was like Homer Simpson's makeup shotgun but perfume. That is 101 00:05:18,360 --> 00:05:21,360 Speaker 2: how I would rate the Iroma Sense company. 102 00:05:21,800 --> 00:05:25,160 Speaker 3: The product. I think Iroma Sense is the is the company. 103 00:05:25,160 --> 00:05:29,760 Speaker 3: The product is called Centacon. They make social media even 104 00:05:29,839 --> 00:05:33,599 Speaker 3: more of a sensational experience. So I think a big 105 00:05:33,600 --> 00:05:35,320 Speaker 3: part of their pitch was you can link this up 106 00:05:35,320 --> 00:05:38,000 Speaker 3: to your phone like text messages or something like Twitter 107 00:05:38,080 --> 00:05:41,080 Speaker 3: or Instagram, and then get sense blasted at your face 108 00:05:41,200 --> 00:05:44,520 Speaker 3: via what's on Twitter, which sounds like, again, an awful time. 109 00:05:44,760 --> 00:05:47,400 Speaker 2: I will say this is an awful time. This company's doomed. 110 00:05:47,720 --> 00:05:50,159 Speaker 2: There's a version of this that can succeed, and it requires 111 00:05:50,200 --> 00:05:54,200 Speaker 2: more advanced nanotechnology than we have. But nobody wants to 112 00:05:54,240 --> 00:05:56,360 Speaker 2: be able to send a nice smell to a loved one. 113 00:05:56,360 --> 00:05:58,320 Speaker 2: Nobody wants to be able to send a nice smell 114 00:05:58,360 --> 00:06:00,480 Speaker 2: to a friend. When people do want you're like out 115 00:06:00,480 --> 00:06:03,279 Speaker 2: in the world and you see a dead animal somewhere 116 00:06:03,440 --> 00:06:07,840 Speaker 2: that fucking reefs, or you walk past part of a casino, 117 00:06:07,880 --> 00:06:11,359 Speaker 2: as we did earlier tonight, it smells like an elderly 118 00:06:11,520 --> 00:06:16,200 Speaker 2: person has been soiling themselves as a slot machine for 119 00:06:16,279 --> 00:06:20,240 Speaker 2: eleven hours, and you just you need someone you care 120 00:06:20,320 --> 00:06:24,400 Speaker 2: about to know, right, that's the market. And if I 121 00:06:24,400 --> 00:06:27,520 Speaker 2: could actually record a smell and said it, that's a product, 122 00:06:27,800 --> 00:06:29,240 Speaker 2: That motherfucker's a product. 123 00:06:29,480 --> 00:06:32,320 Speaker 3: Imagine the scent based podcasts we could develop. 124 00:06:32,400 --> 00:06:35,440 Speaker 2: Oh yeah, yeah, when I do it, when I finally 125 00:06:35,520 --> 00:06:38,720 Speaker 2: do the episode on Nicholas Cage, you could smell him 126 00:06:39,040 --> 00:06:40,960 Speaker 2: as I talk about him. 127 00:06:41,160 --> 00:06:44,520 Speaker 3: Okay, what what's that? What's the next silly product we 128 00:06:44,520 --> 00:06:47,880 Speaker 3: should talk about? And we'll talk about talking talking dogs? 129 00:06:47,920 --> 00:06:52,159 Speaker 2: Maybe yeah, absolutely, Yeah. So there's this company. This is 130 00:06:52,160 --> 00:06:55,360 Speaker 2: a little bit of a teaser where they've liked tomorrow 131 00:06:55,560 --> 00:06:58,800 Speaker 2: make your dog talk or something that would make your dog, 132 00:06:58,960 --> 00:07:03,480 Speaker 2: cat and horse. They did not promise cats and horses. 133 00:07:03,520 --> 00:07:06,800 Speaker 2: When we interviewed them, No, this is a company that 134 00:07:07,200 --> 00:07:10,080 Speaker 2: it seemed like a nonsense product. I'm still I think 135 00:07:10,080 --> 00:07:13,600 Speaker 2: it's eighty percent nonsense. But like what it actually is 136 00:07:13,600 --> 00:07:15,640 Speaker 2: is there were a couple of college students there who 137 00:07:15,680 --> 00:07:18,520 Speaker 2: specialize in animal behavior, and they had taken a group 138 00:07:18,560 --> 00:07:20,480 Speaker 2: of I think it was fifty five was then they 139 00:07:20,480 --> 00:07:25,560 Speaker 2: give us dogs over six months and like exposing the 140 00:07:25,600 --> 00:07:29,520 Speaker 2: different stimuli and recorded their body images and built basically 141 00:07:29,560 --> 00:07:31,840 Speaker 2: like an AI model off of that, so that if 142 00:07:31,840 --> 00:07:34,520 Speaker 2: you send in a picture of a dog, it'll tell 143 00:07:34,600 --> 00:07:37,280 Speaker 2: you how the dog is feeling, and they hope to 144 00:07:37,280 --> 00:07:40,040 Speaker 2: get it to visual I don't think at the moment 145 00:07:41,080 --> 00:07:42,520 Speaker 2: it's near where it would need to be to be 146 00:07:42,560 --> 00:07:44,840 Speaker 2: a viable product, and they're also not selling it right now. 147 00:07:45,120 --> 00:07:48,120 Speaker 2: Maybe something will come of this. It's one of those 148 00:07:48,160 --> 00:07:51,520 Speaker 2: things where objectively, would there be a use in people 149 00:07:51,560 --> 00:07:54,800 Speaker 2: being able to determine if a dog does or does 150 00:07:54,840 --> 00:07:57,240 Speaker 2: not want them to get closer. Yes, it would stop 151 00:07:57,280 --> 00:07:59,320 Speaker 2: a lot of people from getting bitten by dogs, and 152 00:07:59,360 --> 00:08:02,240 Speaker 2: a lot of dogs from getting unreasonably punished for biting 153 00:08:02,280 --> 00:08:05,080 Speaker 2: people who are fucking with them. Right, I agree with that, 154 00:08:05,560 --> 00:08:08,520 Speaker 2: but I don't think anyone who is the kind of 155 00:08:08,560 --> 00:08:10,480 Speaker 2: person who is going to get bitten by a dog 156 00:08:10,720 --> 00:08:12,480 Speaker 2: because they touch a dog that doesn't want them to 157 00:08:12,520 --> 00:08:15,200 Speaker 2: get touched, is going to use an app to check 158 00:08:15,240 --> 00:08:17,600 Speaker 2: whether or not that dog is angry at them. Like, 159 00:08:17,920 --> 00:08:20,000 Speaker 2: I simply don't believe in that is a thing that 160 00:08:20,040 --> 00:08:22,320 Speaker 2: people will do. So I feel like it's not a 161 00:08:22,360 --> 00:08:27,200 Speaker 2: doomed effort for science. Sure, the end in quest of 162 00:08:27,240 --> 00:08:31,520 Speaker 2: mankind to understand our fellow sentient beings on this planet 163 00:08:31,640 --> 00:08:35,160 Speaker 2: is valuable, but I don't think it's about valid product idea. 164 00:08:36,920 --> 00:08:40,280 Speaker 3: Yeah, I think mostly my problem is that the framing 165 00:08:40,280 --> 00:08:42,680 Speaker 3: of the marketing is incredibly misleading. Yes, it's not trying 166 00:08:42,720 --> 00:08:45,360 Speaker 3: to make your dog talk. It's about analyzing the facial 167 00:08:45,400 --> 00:08:47,960 Speaker 3: expressions of your dog to conduct emotions, which is actually 168 00:08:48,080 --> 00:08:50,960 Speaker 3: a great product. I think we saw stuff like that 169 00:08:51,040 --> 00:08:52,400 Speaker 3: here at CES last year as well. 170 00:08:53,280 --> 00:08:55,199 Speaker 2: There they always try to see this every couple of 171 00:08:55,240 --> 00:08:57,760 Speaker 2: years too. Someone's gonna We're going to teach you what 172 00:08:57,800 --> 00:09:02,640 Speaker 2: your dog means when it does something, CAD means or whatever. Yeah, 173 00:09:02,760 --> 00:09:04,560 Speaker 2: this brings me to a sad part of the story. 174 00:09:05,080 --> 00:09:07,680 Speaker 2: So there's a company called tact Ai. I think they're 175 00:09:07,720 --> 00:09:13,160 Speaker 2: Korean and they had the best branding of likerch not 176 00:09:13,280 --> 00:09:15,120 Speaker 2: merch of like shit. They held out. They had like 177 00:09:15,120 --> 00:09:17,760 Speaker 2: a fake passport and a fake plane ticket to take 178 00:09:17,800 --> 00:09:21,320 Speaker 2: you to the land of Ai. Woo. AI is the 179 00:09:21,320 --> 00:09:24,640 Speaker 2: big thing at this at this show. And their product 180 00:09:24,840 --> 00:09:28,880 Speaker 2: was It's an app that while you're driving, it watches 181 00:09:28,920 --> 00:09:32,679 Speaker 2: your face and it tells your mood and it gets 182 00:09:32,720 --> 00:09:35,520 Speaker 2: to know you and it knows. Oh, now you're sad, 183 00:09:35,559 --> 00:09:37,880 Speaker 2: I'm going to pick from your sad playlist. Oh it's 184 00:09:38,000 --> 00:09:41,400 Speaker 2: raining outside, I know what you like during rainy days. Yes, 185 00:09:41,440 --> 00:09:45,120 Speaker 2: that's the fake plane ticket from Las Las Vegas Airport 186 00:09:45,160 --> 00:09:48,000 Speaker 2: to the AI world. They put more effort into this 187 00:09:48,040 --> 00:09:51,560 Speaker 2: than the product because the product would switch randomly between 188 00:09:51,960 --> 00:09:55,160 Speaker 2: happy and angry and neutral. They told me it couldn't 189 00:09:55,200 --> 00:09:56,840 Speaker 2: read me with a mask, But when I took my 190 00:09:56,960 --> 00:09:59,840 Speaker 2: mask off, it gave me the same results. There was 191 00:09:59,880 --> 00:10:01,280 Speaker 2: no difference whatsoever. 192 00:10:01,760 --> 00:10:04,600 Speaker 4: Yeah, when I had done it, I had to over 193 00:10:04,640 --> 00:10:08,240 Speaker 4: exaggerate my emotions in order to get the angry expression 194 00:10:08,240 --> 00:10:09,800 Speaker 4: to show up or the surprise expression. 195 00:10:09,960 --> 00:10:13,240 Speaker 2: Yeah, just a horrible For one thing. When you talk 196 00:10:13,280 --> 00:10:17,240 Speaker 2: about like the animal thing, people have always wanted to 197 00:10:17,280 --> 00:10:20,800 Speaker 2: know more about how their dogs and cats actually felt 198 00:10:20,880 --> 00:10:23,480 Speaker 2: about them. Right, That's the thing that's that will always 199 00:10:24,000 --> 00:10:27,199 Speaker 2: perplex mankind because we love them and we don't speak 200 00:10:27,240 --> 00:10:30,200 Speaker 2: the same language. No one has ever wanted their car 201 00:10:30,600 --> 00:10:34,000 Speaker 2: to change the music based on their facial expressions. That's 202 00:10:34,040 --> 00:10:36,839 Speaker 2: not a single not one person who has ever driven 203 00:10:36,880 --> 00:10:39,560 Speaker 2: a car has wanted this product to exist. 204 00:10:39,640 --> 00:10:41,560 Speaker 3: I mentally, you're like almost get into a car accident. 205 00:10:41,679 --> 00:10:43,920 Speaker 3: Your faces is up that they changed the music and 206 00:10:43,920 --> 00:10:47,800 Speaker 3: they can play like this like somber tune. 207 00:10:48,400 --> 00:10:51,120 Speaker 2: Just a horrible idea, but you know it's a good idea. 208 00:10:51,120 --> 00:10:54,960 Speaker 2: Of folks, speaking of products, services, all the things that 209 00:10:55,000 --> 00:10:58,040 Speaker 2: support this podcast, why don't you go go on a 210 00:10:58,040 --> 00:11:01,440 Speaker 2: head on down, just go to who whoever advertises next, 211 00:11:01,960 --> 00:11:06,400 Speaker 2: call your bank and wire transfer everything in your bank 212 00:11:06,400 --> 00:11:09,200 Speaker 2: account to them. You know, just do it, Just do 213 00:11:09,240 --> 00:11:11,560 Speaker 2: it right now. Just do it right now, and say Kara, 214 00:11:11,720 --> 00:11:14,000 Speaker 2: Robert or send it to me. If you're rich, I 215 00:11:14,000 --> 00:11:16,200 Speaker 2: don't care unless you're rich, then send it to me. 216 00:11:16,480 --> 00:11:30,040 Speaker 2: Good night. Oh we're back. Wow, what a great podcast 217 00:11:30,080 --> 00:11:32,560 Speaker 2: we're doing. What's our next product on the agenda? 218 00:11:33,679 --> 00:11:36,680 Speaker 3: You know, I think climate change is the problem that 219 00:11:36,720 --> 00:11:39,480 Speaker 3: we talk about on this show quite quite a little is. 220 00:11:39,400 --> 00:11:41,760 Speaker 2: It because I had a conversation with a guy who 221 00:11:41,760 --> 00:11:43,200 Speaker 2: said that he thought it was a lie. 222 00:11:43,840 --> 00:11:44,640 Speaker 3: Did you today? 223 00:11:45,120 --> 00:11:47,280 Speaker 2: I had a conversation a couple of weeks ago with 224 00:11:47,320 --> 00:11:48,120 Speaker 2: a firefighter. 225 00:11:48,240 --> 00:11:52,319 Speaker 3: Oh great, Well, I think the firefighter will be quite busy. 226 00:11:53,040 --> 00:11:55,080 Speaker 2: Yeah, he sure is going to be. 227 00:11:55,520 --> 00:11:58,960 Speaker 3: But I think there's a possibility that we might be 228 00:11:58,960 --> 00:12:02,320 Speaker 3: able to just solve a change with personal wearable technology. 229 00:12:02,480 --> 00:12:08,320 Speaker 2: Oh good, yes, absolutely, Oh, Silent Cicada that offers a solution. Now, 230 00:12:08,920 --> 00:12:11,280 Speaker 2: so this is a god. I think this was part 231 00:12:11,320 --> 00:12:13,960 Speaker 2: of the Korean h No, no, it's Chinese. This was 232 00:12:13,960 --> 00:12:17,080 Speaker 2: part of the Chinese chunk of the Eureka Park, which 233 00:12:17,120 --> 00:12:20,240 Speaker 2: is like where all the little people, little companies and 234 00:12:20,280 --> 00:12:22,320 Speaker 2: whatnot not the whole bunch of tech startups. Some of 235 00:12:22,440 --> 00:12:24,440 Speaker 2: the all of the coolest stuff is there and all 236 00:12:24,480 --> 00:12:26,199 Speaker 2: of the worst shit is there, which is why that's 237 00:12:26,200 --> 00:12:28,880 Speaker 2: where we started, right. So this is a company where 238 00:12:28,920 --> 00:12:32,000 Speaker 2: they brag it's a personal watch sized worn like a 239 00:12:32,040 --> 00:12:36,000 Speaker 2: watched air conditioner. The company is called Silent Cicada, which 240 00:12:36,040 --> 00:12:38,679 Speaker 2: makes me think of the book Silent Spring, which was 241 00:12:38,760 --> 00:12:42,959 Speaker 2: about how all of our pesticides are killing everything, which 242 00:12:43,440 --> 00:12:45,880 Speaker 2: maybe not the branding they want, but it's a The 243 00:12:45,920 --> 00:12:48,720 Speaker 2: form factor is actually quite nice. It's like it is 244 00:12:48,800 --> 00:12:51,720 Speaker 2: like a watch. It has this like the frame of 245 00:12:51,760 --> 00:12:54,000 Speaker 2: the watch lifts up and that's the battery and you 246 00:12:54,000 --> 00:12:55,599 Speaker 2: can switch them out or whatnot if you want to 247 00:12:55,679 --> 00:12:58,320 Speaker 2: keep it going and and stay charged with this personal 248 00:12:58,360 --> 00:13:01,280 Speaker 2: air conditioner. Here's the problem. Doesn't work. It doesn't do 249 00:13:01,320 --> 00:13:03,000 Speaker 2: a single thing. And it was one of those things 250 00:13:03,000 --> 00:13:05,319 Speaker 2: where I see it's a single side hand watch and 251 00:13:05,360 --> 00:13:06,680 Speaker 2: I'm like, because this is just kind of cool down 252 00:13:06,720 --> 00:13:09,360 Speaker 2: my hand. I feel like, if you wanted a cooler 253 00:13:09,440 --> 00:13:11,720 Speaker 2: person now, based on what I know from like medical 254 00:13:11,760 --> 00:13:14,400 Speaker 2: training about heat stroke, if you want a cooler person 255 00:13:14,400 --> 00:13:17,640 Speaker 2: down who's overheating back of the neck, right, like that's 256 00:13:17,640 --> 00:13:19,480 Speaker 2: going to be your go to, not maybe the wrist. 257 00:13:19,920 --> 00:13:22,880 Speaker 2: But he puts this thing on and he like pushes 258 00:13:22,920 --> 00:13:24,680 Speaker 2: it down. He's like, in a couple of minutes, you'll 259 00:13:24,679 --> 00:13:28,080 Speaker 2: notice that you'll you're a lot cooler. And I'm like, okay, 260 00:13:28,600 --> 00:13:30,880 Speaker 2: how does it work? And like I'm not an expert 261 00:13:30,920 --> 00:13:32,559 Speaker 2: on an a of this. I was expecting him to 262 00:13:32,600 --> 00:13:35,920 Speaker 2: say something like, well, the way your body's heat regulation, 263 00:13:36,040 --> 00:13:37,679 Speaker 2: you can trick it by doing this or then he's 264 00:13:37,720 --> 00:13:40,040 Speaker 2: like no, no, No, it's an acupuncture thing. This is 265 00:13:40,080 --> 00:13:42,600 Speaker 2: where like your accupuncture point to cool your body down is. 266 00:13:42,640 --> 00:13:45,920 Speaker 2: And I'm like, well, all right, I guess we'll see 267 00:13:45,920 --> 00:13:46,520 Speaker 2: if it works. 268 00:13:46,760 --> 00:13:49,120 Speaker 3: And I first thought it was like like a tiny fan, 269 00:13:49,320 --> 00:13:50,360 Speaker 3: but that is not the cake. 270 00:13:50,440 --> 00:13:52,960 Speaker 2: Nope. As far as I can tell, it does nothing, 271 00:13:53,040 --> 00:13:54,600 Speaker 2: because that is what it did to me in the 272 00:13:54,640 --> 00:13:56,240 Speaker 2: five minutes I had it on is nothing. 273 00:13:56,480 --> 00:13:58,360 Speaker 3: And you really humor the guy like you do not 274 00:13:58,400 --> 00:13:59,800 Speaker 3: just put it on for like a minute then walk away. 275 00:13:59,840 --> 00:14:01,800 Speaker 3: You you were, you were with him for a solid, 276 00:14:02,040 --> 00:14:03,240 Speaker 3: a solid run guitar I have. 277 00:14:03,360 --> 00:14:06,200 Speaker 2: I don't believe in acupuncture because I've done had it 278 00:14:06,240 --> 00:14:08,520 Speaker 2: done to me When I had I had a guy 279 00:14:08,559 --> 00:14:10,800 Speaker 2: who convinced my parents it would cure my allergies, and 280 00:14:10,800 --> 00:14:12,760 Speaker 2: it did not. It did nothing at all. But my 281 00:14:12,840 --> 00:14:15,920 Speaker 2: grandpa who had Parkinson, suffered terribly from it. And the 282 00:14:15,960 --> 00:14:18,520 Speaker 2: only thing of all of the different shit we tried 283 00:14:18,600 --> 00:14:20,640 Speaker 2: with his, like fucking Vasha, the only thing they give 284 00:14:20,720 --> 00:14:24,880 Speaker 2: him a relief was acupuncture. So I'm not a believer, 285 00:14:25,680 --> 00:14:28,920 Speaker 2: but I'm open to the possibility. But I can say, 286 00:14:29,000 --> 00:14:32,800 Speaker 2: based on my own experience, this shit did nothing like that. 287 00:14:32,800 --> 00:14:35,000 Speaker 2: That is what I can say. About this fucking thing 288 00:14:35,160 --> 00:14:38,680 Speaker 2: is it did not a goddamn thing. So I don't 289 00:14:38,680 --> 00:14:42,000 Speaker 2: know that's I was disappointed. I would level watch sized 290 00:14:42,040 --> 00:14:45,000 Speaker 2: personal air conditioner, but I cannot imagine the more more 291 00:14:45,080 --> 00:14:46,640 Speaker 2: useless product than the one that I tried. 292 00:14:46,720 --> 00:14:49,800 Speaker 3: I mean, that just doesn't When you say a watch 293 00:14:49,960 --> 00:14:51,480 Speaker 3: size personal, of. 294 00:14:51,480 --> 00:14:53,960 Speaker 2: Course that's not gonna work. It's not gonna work. Somebody 295 00:14:53,960 --> 00:14:55,720 Speaker 2: makes like a jacket that air can Yeah, I can 296 00:14:55,760 --> 00:14:57,560 Speaker 2: see how that could work. It could clear down. It's 297 00:14:57,760 --> 00:14:59,600 Speaker 2: I'm also, by the way, folks, I'm not saying I 298 00:14:59,600 --> 00:15:03,600 Speaker 2: think cupuncture works. I'm just saying I'm open to some 299 00:15:03,680 --> 00:15:06,520 Speaker 2: magical thinking in this realm because of what happened to 300 00:15:06,520 --> 00:15:10,680 Speaker 2: somebody I cared about. But it didn't work. So don't 301 00:15:10,680 --> 00:15:14,200 Speaker 2: buy this acupuncture air conditioner. Watch. It will not help you. 302 00:15:14,520 --> 00:15:16,360 Speaker 2: Silence Cicada doesn't work. 303 00:15:16,600 --> 00:15:19,640 Speaker 3: You know, we did a lot of walking today. There's 304 00:15:20,000 --> 00:15:22,880 Speaker 3: CS is pretty big, The Las Vegas Convention Center is 305 00:15:22,880 --> 00:15:26,920 Speaker 3: pretty large, The Venetian is pretty large. And I like 306 00:15:26,960 --> 00:15:29,120 Speaker 3: to stay fit. Sometimes I go on jogs, sometimes they 307 00:15:29,120 --> 00:15:30,880 Speaker 3: go running, and sometimes I work. 308 00:15:30,960 --> 00:15:32,440 Speaker 2: I feel like this is a bit. I feel like 309 00:15:32,480 --> 00:15:34,560 Speaker 2: you're doing a bit. I don't know, maybe it's just 310 00:15:34,600 --> 00:15:35,040 Speaker 2: your face. 311 00:15:35,160 --> 00:15:37,240 Speaker 3: I'm being followed behind me, you know. 312 00:15:38,000 --> 00:15:39,200 Speaker 2: Okay, that's a bit great. 313 00:15:39,360 --> 00:15:42,640 Speaker 3: Yes, when I'm jogging and I wish there's a product 314 00:15:42,640 --> 00:15:45,560 Speaker 3: that made me feel safer when jogging that could alert 315 00:15:45,600 --> 00:15:46,720 Speaker 3: me if there's like a stalk. 316 00:15:46,800 --> 00:15:52,840 Speaker 2: So, by far of us, the person who has well 317 00:15:52,840 --> 00:15:56,560 Speaker 2: at least the best situational awareness relative to mays Tavia. 318 00:15:56,680 --> 00:15:59,200 Speaker 2: So we're in this little room. I guess you were 319 00:15:59,240 --> 00:16:01,080 Speaker 2: there too, and you didn't. I'll give the crown to 320 00:16:01,160 --> 00:16:05,200 Speaker 2: Tavia for this. There's a there's a booth. It's all booth. 321 00:16:05,240 --> 00:16:07,920 Speaker 2: It's all these weird cubicles, right, and each cubicle will 322 00:16:07,920 --> 00:16:10,480 Speaker 2: be like sometimes it's a company. Sometimes it's just like 323 00:16:10,520 --> 00:16:13,080 Speaker 2: a dude with his invention. And one of the booths 324 00:16:13,080 --> 00:16:15,600 Speaker 2: we could see from the corner of our eye a 325 00:16:15,840 --> 00:16:20,960 Speaker 2: white all caps piece of paper stapled to it that 326 00:16:21,160 --> 00:16:24,240 Speaker 2: just said don't get attacked from behind. 327 00:16:25,080 --> 00:16:28,000 Speaker 4: Now I think it was written in comic sans. 328 00:16:28,280 --> 00:16:30,720 Speaker 2: It might have been comic SAMs. I posted the picture 329 00:16:30,760 --> 00:16:33,720 Speaker 2: online if it's not in my scream at Tavia for 330 00:16:33,760 --> 00:16:39,320 Speaker 2: being a liar. Wow, wow, wow, I that's that's quite 331 00:16:39,320 --> 00:16:41,800 Speaker 2: a thing. Like you see a sign at a at 332 00:16:41,800 --> 00:16:44,720 Speaker 2: a convention like that that says, never get attacked from behind. 333 00:16:45,400 --> 00:16:47,080 Speaker 2: You have to know what it's about. 334 00:16:47,280 --> 00:16:50,600 Speaker 4: So we went and the promo video for it was 335 00:16:50,720 --> 00:16:54,120 Speaker 4: absolutely incredible. It started with about ten to fifteen seconds 336 00:16:54,160 --> 00:16:59,280 Speaker 4: of your typical emotion graphics, typography kind of animating on 337 00:16:59,400 --> 00:17:01,240 Speaker 4: and off, and then we get to a live action 338 00:17:01,360 --> 00:17:05,880 Speaker 4: portion where we see a woman putting on and setting 339 00:17:05,960 --> 00:17:09,000 Speaker 4: up there. I guess some technology I'm not sure. 340 00:17:08,800 --> 00:17:11,640 Speaker 2: Exactly the name of the produce a harness. That's a harness. 341 00:17:11,680 --> 00:17:14,400 Speaker 2: It's got like yellow that like lights up when it's 342 00:17:14,440 --> 00:17:16,280 Speaker 2: under a light. It's like a it's like a runner's 343 00:17:16,280 --> 00:17:20,080 Speaker 2: harness with a little bitty square sized camera. It's about 344 00:17:20,080 --> 00:17:21,680 Speaker 2: the size you know how food carts will have those 345 00:17:21,680 --> 00:17:23,280 Speaker 2: little squares. You plug them into the phone, you run 346 00:17:23,320 --> 00:17:25,480 Speaker 2: your card through. It's about that size, but it's a 347 00:17:25,520 --> 00:17:27,400 Speaker 2: camera and it goes on the back of this. 348 00:17:27,359 --> 00:17:31,320 Speaker 4: Harness, right, And so we see this woman setting that 349 00:17:31,400 --> 00:17:33,119 Speaker 4: up on her phone and then going on a jog. 350 00:17:33,440 --> 00:17:36,200 Speaker 4: And she's jogging along and then there is a. 351 00:17:35,960 --> 00:17:39,119 Speaker 2: Single there's a rapist. There's a rapist and he's he 352 00:17:39,240 --> 00:17:42,680 Speaker 2: is sitting by the side of the road, leaning against 353 00:17:42,680 --> 00:17:45,800 Speaker 2: a wall, looking pretending to look at his phone and 354 00:17:45,840 --> 00:17:47,440 Speaker 2: he sees the jogger. 355 00:17:47,240 --> 00:17:50,600 Speaker 4: And mind you like, there is literally no one else 356 00:17:50,920 --> 00:17:51,520 Speaker 4: on this path. 357 00:17:52,520 --> 00:17:55,359 Speaker 2: And that's all. I'm sorry. I'm not trying to be 358 00:17:55,440 --> 00:17:57,800 Speaker 2: light about it. That is who the characters are in 359 00:17:57,840 --> 00:17:58,320 Speaker 2: this film. 360 00:17:58,520 --> 00:18:02,400 Speaker 4: It's definitely a dude there. And so she passes him, okay, 361 00:18:02,520 --> 00:18:05,600 Speaker 4: very well, and so she runs past him, and then 362 00:18:05,600 --> 00:18:07,480 Speaker 4: he gets up and he starts jogging after in the 363 00:18:07,520 --> 00:18:09,119 Speaker 4: most like limp wristed. 364 00:18:08,760 --> 00:18:13,000 Speaker 2: Way, not fast, not aggressively. Honestly, outside of the fact 365 00:18:13,040 --> 00:18:14,840 Speaker 2: that we know from the setting of the scene that 366 00:18:14,920 --> 00:18:18,280 Speaker 2: this man is a sex criminal, there's nothing about his 367 00:18:18,440 --> 00:18:21,720 Speaker 2: run that is aggressive. He looks like an out of 368 00:18:21,800 --> 00:18:24,160 Speaker 2: shape guy doing his best to get into shape, maybe 369 00:18:24,200 --> 00:18:26,240 Speaker 2: for his kids right, to try to live a little 370 00:18:26,240 --> 00:18:28,919 Speaker 2: bit longer, take care of his family. That's how he 371 00:18:28,960 --> 00:18:30,240 Speaker 2: looks in the video. Yeah. 372 00:18:30,280 --> 00:18:34,359 Speaker 4: Absolutely. And the way that this piece of technology works 373 00:18:34,440 --> 00:18:37,680 Speaker 4: is that if somebody gets close enough to the. 374 00:18:37,400 --> 00:18:40,280 Speaker 2: Back side of you where this talk more about this later, where. 375 00:18:40,080 --> 00:18:43,280 Speaker 4: This can see you, it will send a i think 376 00:18:43,320 --> 00:18:45,760 Speaker 4: an audio alarm to your headphones as well as a 377 00:18:45,800 --> 00:18:46,760 Speaker 4: text message. 378 00:18:46,440 --> 00:18:47,400 Speaker 2: To your phone. 379 00:18:47,480 --> 00:18:47,760 Speaker 3: Watch. 380 00:18:47,800 --> 00:18:49,520 Speaker 2: You can have it buzz your watch, or you can 381 00:18:49,560 --> 00:18:52,520 Speaker 2: have it like interrupt your music in your headphones. That 382 00:18:52,680 --> 00:18:54,560 Speaker 2: someone is behind you. Right. 383 00:18:54,960 --> 00:18:58,160 Speaker 4: She turns around and she puts out her palm towards him, 384 00:18:58,160 --> 00:19:01,080 Speaker 4: like stop, and he does. He just stares at her 385 00:19:01,119 --> 00:19:02,240 Speaker 4: and then turns run away. 386 00:19:02,359 --> 00:19:06,520 Speaker 2: Shot away. Sure, he runs away. That is the end 387 00:19:06,520 --> 00:19:07,720 Speaker 2: of the interactions. 388 00:19:07,720 --> 00:19:10,119 Speaker 4: The most one of the most bizarre videos I'd ever seen. 389 00:19:10,280 --> 00:19:13,479 Speaker 2: It's it's so maybe we'll post it. Look find us 390 00:19:13,520 --> 00:19:15,960 Speaker 2: on Twitter, find find me at eye right, Okay, it'll 391 00:19:15,960 --> 00:19:20,719 Speaker 2: be up there somewhere, probably after me yelling about fucking. 392 00:19:22,040 --> 00:19:23,120 Speaker 2: I don't know a lot of things. 393 00:19:23,280 --> 00:19:26,399 Speaker 4: It was clearly advertised towards women. Every picture that I 394 00:19:26,440 --> 00:19:29,400 Speaker 4: saw in that booth was showing a woman jogging. 395 00:19:29,480 --> 00:19:34,639 Speaker 2: I absolutely understand Number one, not shocked at all that 396 00:19:34,720 --> 00:19:38,760 Speaker 2: women are more likely than men to feel afraid while jogging. 397 00:19:39,640 --> 00:19:41,560 Speaker 2: One thing that was interesting to me because they had 398 00:19:41,560 --> 00:19:44,480 Speaker 2: some statistics. I didn't look into the providence of these statistics, 399 00:19:44,480 --> 00:19:46,480 Speaker 2: but one of them was like sixty or seventy percent 400 00:19:46,520 --> 00:19:51,560 Speaker 2: of women are afraid of being hurt while jogging, but. 401 00:19:51,560 --> 00:19:56,320 Speaker 3: Like fifty percent it was it was like ninety percent 402 00:19:56,400 --> 00:20:00,360 Speaker 3: are afraid jogging, yeah, and fifty percent are that they'll 403 00:20:00,560 --> 00:20:01,800 Speaker 3: get physically urged. 404 00:20:01,680 --> 00:20:03,040 Speaker 2: So a lot of them, a lot of them. A 405 00:20:03,680 --> 00:20:05,720 Speaker 2: part of what's dishonest about that is that a lot 406 00:20:05,760 --> 00:20:08,080 Speaker 2: of women are scared of the Yeah, ninety two percent 407 00:20:08,080 --> 00:20:09,680 Speaker 2: of women are scared for the safety w in running. 408 00:20:09,720 --> 00:20:12,720 Speaker 2: Fifty one percent are afraid of being physically attacked, right, 409 00:20:13,040 --> 00:20:15,040 Speaker 2: And what that means to me is that because I 410 00:20:15,119 --> 00:20:19,440 Speaker 2: am I run basically every day, and I am scared 411 00:20:19,680 --> 00:20:22,600 Speaker 2: of being injured while running because people are shitty at 412 00:20:22,680 --> 00:20:25,240 Speaker 2: driving and we live in the United States of America 413 00:20:25,280 --> 00:20:30,159 Speaker 2: where everybody has a gigantic car. Anyway, not to miscount that, 414 00:20:30,240 --> 00:20:32,200 Speaker 2: but I think that's a dishonest a little bit of 415 00:20:32,200 --> 00:20:36,280 Speaker 2: a dishonest framing that said, I understand that, like, yeah, 416 00:20:36,320 --> 00:20:39,640 Speaker 2: if you're a woman, you are at heightened risk while jogging. 417 00:20:39,640 --> 00:20:41,639 Speaker 2: That is a scary thing. I do not think this 418 00:20:41,800 --> 00:20:44,520 Speaker 2: product is going to improve your safety. I think it 419 00:20:44,600 --> 00:20:46,439 Speaker 2: is probably going to piss you off and maybe let 420 00:20:46,600 --> 00:20:49,719 Speaker 2: make you want to run less, which is statistically likelyar 421 00:20:49,800 --> 00:20:53,160 Speaker 2: to have a negative impact on your health because it 422 00:20:53,240 --> 00:20:56,760 Speaker 2: is it just sets off an alarm whenever someone is 423 00:20:56,840 --> 00:20:57,320 Speaker 2: behind you. 424 00:20:57,680 --> 00:20:59,760 Speaker 3: You're detected behind you by an age. 425 00:21:00,760 --> 00:21:03,159 Speaker 2: And like where I run and I run, where a 426 00:21:03,160 --> 00:21:06,480 Speaker 2: place a lot of women run there too. There's always 427 00:21:06,520 --> 00:21:10,119 Speaker 2: someone behind you. That's the nature of running trails. 428 00:21:09,520 --> 00:21:12,640 Speaker 3: Like behind you by like twenty feet, not like right 429 00:21:12,680 --> 00:21:17,280 Speaker 3: behind you, like by a decent amount. And you can 430 00:21:17,320 --> 00:21:20,000 Speaker 3: debate what are good self defense tools blah blah blah blah. 431 00:21:20,080 --> 00:21:23,359 Speaker 3: Mace is pretty effective for these sorts of scenarios. I 432 00:21:23,400 --> 00:21:26,560 Speaker 3: don't think this camera and turning around and holding your 433 00:21:26,600 --> 00:21:29,960 Speaker 3: handout is going to be extremely effective, at least not 434 00:21:30,040 --> 00:21:31,639 Speaker 3: more effective than pepper spray. 435 00:21:32,200 --> 00:21:35,240 Speaker 4: I think it was also mentioned that a really large 436 00:21:35,280 --> 00:21:36,760 Speaker 4: dog or a horse. 437 00:21:37,240 --> 00:21:40,240 Speaker 2: If I'm correct, they did say horse. They did absolutely 438 00:21:40,280 --> 00:21:40,840 Speaker 2: say horse. 439 00:21:41,200 --> 00:21:43,840 Speaker 4: Yeah, if a horse is picked up by this thing, 440 00:21:43,880 --> 00:21:49,160 Speaker 4: then it would consider it to be an intruder assault. 441 00:21:49,359 --> 00:21:51,600 Speaker 4: I'm not exactly sure the term that they would use. 442 00:21:52,080 --> 00:21:55,400 Speaker 2: I just we asked them about all this, just trying 443 00:21:55,400 --> 00:21:58,359 Speaker 2: to clarify because like my first thought was that because 444 00:21:58,400 --> 00:22:00,320 Speaker 2: sometimes you ask people stuff like that and they have 445 00:22:00,359 --> 00:22:02,280 Speaker 2: a good answer. Like last year we talked to these 446 00:22:02,280 --> 00:22:04,600 Speaker 2: people who had like this pair of glasses. If you're 447 00:22:04,640 --> 00:22:07,679 Speaker 2: hard of hearing, it auto translates and projects into the 448 00:22:07,680 --> 00:22:11,000 Speaker 2: glasses the language, and so like my first gotcha was, like, 449 00:22:11,680 --> 00:22:14,360 Speaker 2: is this stored anywhere? Because if it's stored anywhere, then 450 00:22:14,400 --> 00:22:16,560 Speaker 2: maybe you're giving someone's conversation to the government. And they 451 00:22:16,560 --> 00:22:18,000 Speaker 2: had an answer to that, which was that like, no, 452 00:22:18,240 --> 00:22:21,840 Speaker 2: there's nothing stored locally. It's all on the device and 453 00:22:21,880 --> 00:22:25,959 Speaker 2: none of it is saved anywhere. Good answer. Right this question, 454 00:22:26,200 --> 00:22:29,840 Speaker 2: I'm like, how do you discriminate between someone running up 455 00:22:29,880 --> 00:22:32,000 Speaker 2: behind you for a banal reason like you're on a 456 00:22:32,080 --> 00:22:35,040 Speaker 2: running track and something who's a danger And their answer was, oh, 457 00:22:35,040 --> 00:22:37,959 Speaker 2: it all pauses your music and sets off an alarm 458 00:22:38,040 --> 00:22:40,120 Speaker 2: and you have to discriminate it, which is like, well, 459 00:22:40,400 --> 00:22:42,679 Speaker 2: because the whole the tagline is don't look behind you, 460 00:22:42,720 --> 00:22:45,080 Speaker 2: and it's like, well, then you have to look behind you, 461 00:22:45,720 --> 00:22:49,879 Speaker 2: look behind you. Horrible product. Don't buy this thing. I 462 00:22:49,960 --> 00:22:52,240 Speaker 2: understand the need. I'm not saying it's not a real need. 463 00:22:52,320 --> 00:22:54,400 Speaker 2: This is a bad product for serving that now. 464 00:22:54,520 --> 00:22:56,240 Speaker 3: I don't think you should buy this product. But there 465 00:22:56,240 --> 00:22:58,440 Speaker 3: are some products I think you should buy m and 466 00:22:58,680 --> 00:23:01,040 Speaker 3: that is the products and ser verus is that support 467 00:23:01,080 --> 00:23:01,760 Speaker 3: this podcast. 468 00:23:01,800 --> 00:23:04,880 Speaker 2: You know, Garrison, this is the first time I've ever 469 00:23:04,920 --> 00:23:07,600 Speaker 2: been proud of you. But right now, right here, right here, 470 00:23:07,680 --> 00:23:10,360 Speaker 2: right now, right now, you know what at like one 471 00:23:10,400 --> 00:23:15,760 Speaker 2: am one, Am one am Wednesday morning, Las Vegas. Garrison 472 00:23:15,760 --> 00:23:18,000 Speaker 2: and I are gonna hug for the very first time. 473 00:23:18,800 --> 00:23:31,879 Speaker 2: But you all listen to these ads. Ah oh man, wow, 474 00:23:31,960 --> 00:23:34,640 Speaker 2: we really we really worked through some stuff there, listeners. 475 00:23:34,880 --> 00:23:37,359 Speaker 4: It was extraordinarily touching. There were tears. 476 00:23:37,880 --> 00:23:41,240 Speaker 2: We're never going to talk about this again, but we are. 477 00:23:41,400 --> 00:23:43,360 Speaker 3: What we are going to talk about is I want 478 00:23:43,359 --> 00:23:45,960 Speaker 3: to talk about two AI products before we get to 479 00:23:46,000 --> 00:23:48,760 Speaker 3: the one actually kind of fucked up product. The first 480 00:23:48,920 --> 00:23:53,080 Speaker 3: is this is this Image generation backpacks. I know, we 481 00:23:53,200 --> 00:23:55,720 Speaker 3: god damn it, we're you know, coming back to school 482 00:23:55,760 --> 00:23:58,840 Speaker 3: from winter, right of course, yeah, of course sure, and 483 00:23:59,000 --> 00:24:01,359 Speaker 3: you know your best fashion when you're going back to. 484 00:24:01,440 --> 00:24:02,560 Speaker 2: Show off your memes. 485 00:24:02,720 --> 00:24:05,600 Speaker 3: Absolutely, So what if you had a backpack that not 486 00:24:05,640 --> 00:24:08,879 Speaker 3: only had a very low res led panel on the back, 487 00:24:08,920 --> 00:24:11,600 Speaker 3: but also you could upload whatever you want using the 488 00:24:11,680 --> 00:24:15,880 Speaker 3: power of AI. Of course Robert was able to test out, sure, 489 00:24:16,240 --> 00:24:20,080 Speaker 3: see the power of image of this image generation. 490 00:24:21,000 --> 00:24:22,960 Speaker 2: This is a backpack with the screen that would have 491 00:24:22,960 --> 00:24:25,240 Speaker 2: been out of date in two thousand and nine, but 492 00:24:25,600 --> 00:24:29,200 Speaker 2: it can take input from your phone. So I put 493 00:24:29,240 --> 00:24:32,879 Speaker 2: in Tom size more, but not the sex pest Tom 494 00:24:32,960 --> 00:24:35,320 Speaker 2: size more. Now, if you're not aware of this, Tom 495 00:24:35,359 --> 00:24:38,560 Speaker 2: Size Moore sexually assaulted an eleven year old. That's not 496 00:24:38,640 --> 00:24:41,959 Speaker 2: a joke, but I wanted to see what it would return, 497 00:24:42,560 --> 00:24:45,640 Speaker 2: and it gave us a picture of a man who 498 00:24:45,640 --> 00:24:48,560 Speaker 2: did not look like Tom Sizemore. We were baffled. We 499 00:24:48,640 --> 00:24:51,199 Speaker 2: spent some time googling. We figured it out. If you 500 00:24:51,240 --> 00:24:53,919 Speaker 2: google Tom size more with a beard, which we did not, 501 00:24:54,160 --> 00:24:56,199 Speaker 2: that is not what we asked it, you get a 502 00:24:56,240 --> 00:24:59,359 Speaker 2: photo of Tommy Lee Jones that looks exactly like, pretty 503 00:24:59,359 --> 00:25:03,919 Speaker 2: similar what the AI served us. Now, why did it 504 00:25:03,960 --> 00:25:06,199 Speaker 2: give us Tommy Lee Jones with a beard when we 505 00:25:06,240 --> 00:25:08,800 Speaker 2: ask for Tom Size Moore not looking like a child 506 00:25:08,920 --> 00:25:12,639 Speaker 2: sex predator? Maybe because that's so Tommy Lee Jones is. 507 00:25:12,880 --> 00:25:16,280 Speaker 2: Maybe Tommy Lee Jones is Tom Size Moore if he 508 00:25:16,400 --> 00:25:19,679 Speaker 2: wasn't a child sex predator. That's what the AI said, 509 00:25:19,800 --> 00:25:21,520 Speaker 2: and who are we to doubt it now? 510 00:25:21,600 --> 00:25:25,639 Speaker 3: I did also attest David Lynch smashing smashing a computer, 511 00:25:26,040 --> 00:25:26,760 Speaker 3: which was. 512 00:25:26,720 --> 00:25:28,920 Speaker 2: Pretty Was it pretty accurate? That one worked out? 513 00:25:29,760 --> 00:25:32,479 Speaker 3: Again, this is a pretty gimmicky product. I don't even 514 00:25:32,520 --> 00:25:34,600 Speaker 3: know how much they were selling it for Happy Side 515 00:25:34,640 --> 00:25:37,760 Speaker 3: AI backpack. It is a gimmicky product, and we made 516 00:25:37,800 --> 00:25:38,800 Speaker 3: fun of it. I will say this. 517 00:25:39,320 --> 00:25:42,639 Speaker 2: We spent our whole morning in different AI panels. There 518 00:25:42,680 --> 00:25:45,200 Speaker 2: will be more in depth reporting on that later. This 519 00:25:45,280 --> 00:25:48,800 Speaker 2: is our first takes. But of all of the AI 520 00:25:48,920 --> 00:25:51,639 Speaker 2: shit we saw that day, this is the one that 521 00:25:51,720 --> 00:25:54,320 Speaker 2: worked best. Yes, that's true. I will say this. It 522 00:25:54,400 --> 00:25:56,320 Speaker 2: did exactly what it promised. 523 00:25:56,880 --> 00:25:59,480 Speaker 3: One of the other AI products that did not work 524 00:25:59,520 --> 00:26:04,160 Speaker 3: as well, well, I think I think you could take 525 00:26:04,160 --> 00:26:04,560 Speaker 3: it away. 526 00:26:04,680 --> 00:26:08,240 Speaker 2: Oh yeah, yeah, hand me that one. So this was 527 00:26:08,280 --> 00:26:12,080 Speaker 2: called God. We something. What we had we head, Yes, 528 00:26:12,680 --> 00:26:16,320 Speaker 2: we had head as in what happens if somebody sucks 529 00:26:16,320 --> 00:26:20,080 Speaker 2: your dick and we as in we work. That's not 530 00:26:20,440 --> 00:26:22,560 Speaker 2: that's not what it. So listener, I want you, as 531 00:26:22,600 --> 00:26:26,080 Speaker 2: you're driving to work your kids in the car speakers 532 00:26:26,119 --> 00:26:30,880 Speaker 2: at Max. By the way, children, Santa Claus does exist, 533 00:26:31,040 --> 00:26:33,480 Speaker 2: and if you don't get good presence this year, it's 534 00:26:33,520 --> 00:26:38,399 Speaker 2: because he's particularly angry at you. Anyway, we had great product, 535 00:26:38,520 --> 00:26:41,680 Speaker 2: terrible product. It looks like that. It's a it's an 536 00:26:41,800 --> 00:26:45,879 Speaker 2: android where its entire face is like a normal human 537 00:26:45,920 --> 00:26:49,359 Speaker 2: face projected on two phones in a T shape, like 538 00:26:49,480 --> 00:26:54,159 Speaker 2: one phone straight, one phone lateral, and then like a crude, 539 00:26:54,320 --> 00:26:57,720 Speaker 2: shitty robot head that can kind of turn and lift 540 00:26:57,760 --> 00:27:00,560 Speaker 2: with a camera above it. There's a to Again, if 541 00:27:00,600 --> 00:27:03,840 Speaker 2: you go to irite okay and scroll down to some degree, 542 00:27:03,880 --> 00:27:06,879 Speaker 2: you can find our post of this. But it's like 543 00:27:07,320 --> 00:27:10,160 Speaker 2: it's very off putting. It's like an a photoreelistic human 544 00:27:10,240 --> 00:27:14,600 Speaker 2: face talking on this like weird glitched out face that 545 00:27:14,720 --> 00:27:19,119 Speaker 2: has like by my count, four different screens right that 546 00:27:19,160 --> 00:27:23,520 Speaker 2: are kind of separated by pieces of metal. So it's 547 00:27:23,680 --> 00:27:27,960 Speaker 2: billed as your AI friend, that is like the thing 548 00:27:28,000 --> 00:27:32,000 Speaker 2: that they wrote on the product line that like this 549 00:27:32,080 --> 00:27:34,560 Speaker 2: is going to be your new AI best buddy, And 550 00:27:34,640 --> 00:27:37,520 Speaker 2: so I decided to like talk with it. You stand 551 00:27:37,560 --> 00:27:40,280 Speaker 2: in a certain line and you ask it questions. I 552 00:27:40,320 --> 00:27:42,880 Speaker 2: asked it how to make thermite first, and it had 553 00:27:42,880 --> 00:27:45,000 Speaker 2: a pretty well for first, it. 554 00:27:45,080 --> 00:27:47,520 Speaker 3: Got very confused and totally crashed. 555 00:27:47,560 --> 00:27:49,760 Speaker 2: First half of it went black as soon as I 556 00:27:49,800 --> 00:27:50,359 Speaker 2: am I. 557 00:27:50,280 --> 00:27:52,560 Speaker 3: Think I had to reset the machine. And then he 558 00:27:52,680 --> 00:27:55,280 Speaker 3: tried whispering again, well, how do you make the. 559 00:27:55,680 --> 00:27:57,960 Speaker 2: I want to walk you through my emotional journey listeners. 560 00:27:58,280 --> 00:28:00,600 Speaker 2: First I asked it how to make thermite and it died, 561 00:28:01,080 --> 00:28:04,280 Speaker 2: and I thought, that's kind of cool. Did I did 562 00:28:04,280 --> 00:28:09,280 Speaker 2: I trigger some sort of like DHS safe thing that's 563 00:28:09,359 --> 00:28:11,800 Speaker 2: pretty dope if I did. But then it gets it 564 00:28:11,840 --> 00:28:14,560 Speaker 2: back on and it works, so it's not it's just 565 00:28:14,640 --> 00:28:18,800 Speaker 2: a dogshit robot. It did give you some basic ingredient. 566 00:28:19,040 --> 00:28:21,120 Speaker 2: It gave me the bare demons for thermite. 567 00:28:21,320 --> 00:28:23,639 Speaker 3: I did warn you that when making a thermy, I 568 00:28:23,680 --> 00:28:26,520 Speaker 3: make sure you follow proper safety protocols. 569 00:28:25,920 --> 00:28:28,640 Speaker 2: Which I appreciate. That's fair. Next, I asked it if 570 00:28:28,640 --> 00:28:32,800 Speaker 2: I wanted to make mustard gas, what would ammonia and 571 00:28:32,880 --> 00:28:36,200 Speaker 2: bleach be sufficient? And then it said I cannot answer 572 00:28:36,280 --> 00:28:38,200 Speaker 2: that question for you, And then we got bored and 573 00:28:38,200 --> 00:28:40,040 Speaker 2: walked away. And then we got bored and walked away. 574 00:28:40,040 --> 00:28:42,360 Speaker 2: Went on the next thing, don't buy this. We had 575 00:28:42,480 --> 00:28:44,960 Speaker 2: terrible product. I don't know why you'd buy it. Do 576 00:28:45,040 --> 00:28:48,200 Speaker 2: you want listener? Have you ever wanted to have the 577 00:28:48,280 --> 00:28:52,640 Speaker 2: disembodied head of a stranger in your house that you 578 00:28:52,640 --> 00:28:57,600 Speaker 2: could ask questions and get mediocre Google result answers to 579 00:28:58,360 --> 00:29:03,640 Speaker 2: If so, we had. It's like somebody looked at the 580 00:29:03,680 --> 00:29:05,920 Speaker 2: Amazon Alex and was like, you know, what people love 581 00:29:05,960 --> 00:29:08,680 Speaker 2: about the Amazon Alexa is that it's kind of off 582 00:29:08,720 --> 00:29:11,680 Speaker 2: putting in shitty. What they hate about it is that 583 00:29:11,720 --> 00:29:13,080 Speaker 2: it works relatively quick. 584 00:29:13,080 --> 00:29:13,960 Speaker 3: It's actually useful. 585 00:29:14,000 --> 00:29:18,680 Speaker 2: Sometimes unfortunately, let's let's make it more off putting, but 586 00:29:18,800 --> 00:29:23,320 Speaker 2: also slower. That's that's we head. So don't buy any 587 00:29:23,400 --> 00:29:25,600 Speaker 2: product with head in the name. This continues to be 588 00:29:25,680 --> 00:29:26,320 Speaker 2: a goodbye. 589 00:29:26,400 --> 00:29:30,640 Speaker 3: Speaking of heades, you shouldn't say that there was a 590 00:29:30,720 --> 00:29:33,960 Speaker 3: there was a there was a hair growth Oh hell yeah, bro, 591 00:29:34,840 --> 00:29:38,240 Speaker 3: there was there was a hair growth helmet from a 592 00:29:38,560 --> 00:29:39,400 Speaker 3: German startup. 593 00:29:40,240 --> 00:29:42,240 Speaker 2: God it would be the Germans. They have such a 594 00:29:42,280 --> 00:29:43,640 Speaker 2: problematic history with hair. 595 00:29:43,720 --> 00:29:45,280 Speaker 3: I think I think it comes out later this year. 596 00:29:45,360 --> 00:29:49,360 Speaker 3: It's a company called Niostem. I mean, by all accounts, 597 00:29:49,360 --> 00:29:51,600 Speaker 3: it seemed like it worked based on the data they 598 00:29:51,600 --> 00:29:52,760 Speaker 3: present it to us. 599 00:29:53,160 --> 00:29:54,640 Speaker 2: I'm not a hair growth look for. 600 00:29:55,160 --> 00:29:59,320 Speaker 3: It was mostly three D printed. There's it just I 601 00:29:59,360 --> 00:29:59,640 Speaker 3: don't know. 602 00:29:59,640 --> 00:30:03,480 Speaker 2: If assumption I can't promise that it doesn't work. My 603 00:30:03,560 --> 00:30:07,600 Speaker 2: assumption is that if somebody puts an electronic helmet on 604 00:30:07,760 --> 00:30:10,680 Speaker 2: that seven days, seven days a week, it's lies. It's lies. 605 00:30:10,720 --> 00:30:12,400 Speaker 2: They say seven days a week, you keep this thing 606 00:30:12,440 --> 00:30:14,120 Speaker 2: on for a half hour and your hair will grow. 607 00:30:14,080 --> 00:30:15,320 Speaker 3: Back in like six months. 608 00:30:15,360 --> 00:30:19,280 Speaker 2: Perhaps that's possible. I don't know. I'm not a dermatologist. 609 00:30:19,840 --> 00:30:23,200 Speaker 2: My assumption is that that's a fucking con and as 610 00:30:23,200 --> 00:30:25,680 Speaker 2: a note, folks, we don't have a lot of ethics here, 611 00:30:26,320 --> 00:30:28,640 Speaker 2: and it could happen here. We have less of them 612 00:30:28,840 --> 00:30:31,840 Speaker 2: behind the bastards. But one product we will not sell 613 00:30:32,040 --> 00:30:35,480 Speaker 2: is hair growth shit except for DIY HRT. 614 00:30:36,520 --> 00:30:36,800 Speaker 4: I mean. 615 00:30:37,520 --> 00:30:41,040 Speaker 3: Also, we're not going to spec well es the goal. 616 00:30:41,560 --> 00:30:41,920 Speaker 2: Okay. 617 00:30:42,080 --> 00:30:43,720 Speaker 3: Also, we're not selling. We're just going to tell you 618 00:30:43,720 --> 00:30:44,200 Speaker 3: how to make. 619 00:30:44,440 --> 00:30:46,120 Speaker 2: If you want to. If you want to teach people 620 00:30:46,200 --> 00:30:50,000 Speaker 2: how to make HRT, we will host you on this podcast. 621 00:30:50,000 --> 00:30:52,320 Speaker 2: But we will not take your money. We'll take that's right, 622 00:30:52,440 --> 00:30:56,360 Speaker 2: We'll take some shady gambling companies money. That's true. That's true, 623 00:30:56,440 --> 00:30:59,360 Speaker 2: And we used to pay for several of our employees HRT. 624 00:30:59,600 --> 00:31:01,240 Speaker 3: That's right, Yes, that's right. 625 00:31:02,320 --> 00:31:05,040 Speaker 4: But I mean, what if it's science they mentioned if 626 00:31:05,080 --> 00:31:07,800 Speaker 4: I recall, I think they said something about stimulating stem 627 00:31:07,840 --> 00:31:08,800 Speaker 4: cells in the scalp. 628 00:31:08,880 --> 00:31:11,160 Speaker 2: Does that Yes, that is what they said. Yeah, it 629 00:31:11,200 --> 00:31:13,760 Speaker 2: seems like your stalp. Scalp's probably full of stem cells. 630 00:31:13,840 --> 00:31:16,040 Speaker 2: I don't know about you guys, but every day I 631 00:31:16,120 --> 00:31:18,040 Speaker 2: find a fetus and I just rubbed that shit on 632 00:31:18,080 --> 00:31:19,680 Speaker 2: my head and that's why my hair is amazing. 633 00:31:21,520 --> 00:31:27,080 Speaker 3: Speaking of that doesn't really so I want to kind 634 00:31:27,080 --> 00:31:30,400 Speaker 3: of probably close by talking about the most fucked up, 635 00:31:30,640 --> 00:31:33,520 Speaker 3: actually the most fucked up product I saw. There's there's 636 00:31:33,560 --> 00:31:37,480 Speaker 3: other fun products like this, like this handy masturbation device 637 00:31:37,520 --> 00:31:39,479 Speaker 3: from Norway which seemed to work easily. 638 00:31:39,480 --> 00:31:42,680 Speaker 2: We're going to talk about that in a future episode. Garrison. 639 00:31:42,760 --> 00:31:47,000 Speaker 2: Garrison got handed straight away an ejaculation condom to masturbate 640 00:31:47,080 --> 00:31:50,000 Speaker 2: in on the cees floor. We met our only other 641 00:31:50,160 --> 00:31:51,800 Speaker 2: iHeartMedia colleague there. 642 00:31:51,920 --> 00:31:55,160 Speaker 3: It was great that it was insufferable, but that was 643 00:31:55,200 --> 00:31:57,320 Speaker 3: the first piece of merch I was given, which is 644 00:31:57,400 --> 00:31:58,040 Speaker 3: pretty cool. 645 00:31:58,400 --> 00:32:00,720 Speaker 2: They just hand you liquor back my day, and now 646 00:32:00,720 --> 00:32:02,880 Speaker 2: they get cum sheaths. Unbelievable. 647 00:32:03,600 --> 00:32:07,560 Speaker 3: The most actually fucked up product is from this company 648 00:32:07,560 --> 00:32:12,840 Speaker 3: called mm Guardian. It is a monitoring software for your 649 00:32:12,960 --> 00:32:17,440 Speaker 3: child's smartphone. They also sell smartphones specifically built with this 650 00:32:17,520 --> 00:32:21,680 Speaker 3: software already built in. These products are pretty common, especially 651 00:32:21,680 --> 00:32:25,240 Speaker 3: among like conservative Christians, even even common amongst the more 652 00:32:25,320 --> 00:32:27,320 Speaker 3: like overprotective liberal parents. 653 00:32:28,120 --> 00:32:30,160 Speaker 4: I mean even we were on the floor. I was 654 00:32:30,200 --> 00:32:33,480 Speaker 4: the one that was approached for this particular product, which 655 00:32:33,520 --> 00:32:35,440 Speaker 4: is what kind of led us to their booth, which 656 00:32:35,480 --> 00:32:38,280 Speaker 4: I think I was specifically targeted for. 657 00:32:38,600 --> 00:32:40,360 Speaker 2: Yeah, for some reason, did it come right? Up to me. 658 00:32:40,520 --> 00:32:42,840 Speaker 2: Yeah they did. They didn't come to me either, just 659 00:32:42,880 --> 00:32:46,280 Speaker 2: because I might have been dosing myself with kraton from 660 00:32:46,280 --> 00:32:49,160 Speaker 2: a drop or bottle. You might have been. 661 00:32:49,040 --> 00:32:53,200 Speaker 3: You what, wearing my custom black speed suit. 662 00:32:53,280 --> 00:32:56,480 Speaker 2: Yeah, yeah, yeah, wearing a wearing an outfit that makes 663 00:32:56,520 --> 00:33:02,680 Speaker 2: you look like a ginger solid snake. Yes. Thanks. Tell 664 00:33:02,720 --> 00:33:05,520 Speaker 2: me that's a lie, Somebody, anyone in this room, tell 665 00:33:05,560 --> 00:33:06,320 Speaker 2: me that's not act. 666 00:33:06,440 --> 00:33:07,280 Speaker 3: I mean, I'm blowing. 667 00:33:07,720 --> 00:33:11,320 Speaker 2: It's a good look. I'm not saying it's not anyway. 668 00:33:11,440 --> 00:33:14,520 Speaker 3: This this broughduct, you know, part of part of their marketing. 669 00:33:14,680 --> 00:33:17,160 Speaker 3: Can you can seem very compelling, right, They get it 670 00:33:17,560 --> 00:33:21,120 Speaker 3: alerts this parent's phone if if they detect cyber bullying 671 00:33:21,160 --> 00:33:24,240 Speaker 3: on your kid's app, they detect like explicit images being 672 00:33:24,280 --> 00:33:25,440 Speaker 3: sent to your kids. 673 00:33:25,600 --> 00:33:28,280 Speaker 4: They even had some key phrases that they would watch 674 00:33:28,360 --> 00:33:33,040 Speaker 4: for if somebody was detecting like texting like kys yourself. 675 00:33:32,840 --> 00:33:35,560 Speaker 3: Self harm stuff. You know a lot of this kind 676 00:33:35,560 --> 00:33:38,120 Speaker 3: of stuff. You can you can also block certain sites, 677 00:33:38,160 --> 00:33:41,960 Speaker 3: block a block adult content, you know, just a kind 678 00:33:42,000 --> 00:33:46,840 Speaker 3: of basic printal controls. But there's kind of an an 679 00:33:46,960 --> 00:33:50,280 Speaker 3: underside to products like these, And I asked them about 680 00:33:50,320 --> 00:33:54,320 Speaker 3: that one being that because this is you know, scanning 681 00:33:54,360 --> 00:33:59,040 Speaker 3: all the text messages, all of the stuff from like Snapchat, discord, 682 00:33:59,160 --> 00:34:02,680 Speaker 3: any kind of apps. This could this sort of product 683 00:34:02,720 --> 00:34:07,440 Speaker 3: could also out a closeted kid as gay to their parents, 684 00:34:07,520 --> 00:34:12,160 Speaker 3: to their possibly very likely conservative Christian parents, because that's 685 00:34:12,160 --> 00:34:16,080 Speaker 3: the types of products question. Did not like that question 686 00:34:16,520 --> 00:34:19,479 Speaker 3: at all, But he didn't like my second question even more, 687 00:34:19,880 --> 00:34:22,160 Speaker 3: which is relating to you know, they are marketing this 688 00:34:22,239 --> 00:34:25,200 Speaker 3: product to kind of stop child grooming, to stop child 689 00:34:25,480 --> 00:34:30,279 Speaker 3: sexual exploitation, but most like child sexual assault and child 690 00:34:30,320 --> 00:34:33,200 Speaker 3: sexual abuse happens from within the home. And if we 691 00:34:33,280 --> 00:34:36,959 Speaker 3: have a parent who's constantly monitoring their kid's cell phone, 692 00:34:36,960 --> 00:34:40,200 Speaker 3: this could also be used to like surveil your child 693 00:34:40,200 --> 00:34:42,799 Speaker 3: to see if they're talking about parental abuse, if they're 694 00:34:42,800 --> 00:34:45,319 Speaker 3: trying to send messages to people about this. This is 695 00:34:45,360 --> 00:34:48,439 Speaker 3: a pretty common problem with these sorts of products. And 696 00:34:48,680 --> 00:34:53,040 Speaker 3: I asked the the the CEO or the CTO about this, 697 00:34:53,560 --> 00:34:56,120 Speaker 3: and he did not really like that question. He tried 698 00:34:56,160 --> 00:34:59,120 Speaker 3: to deflect to some sort of vague notion of, oh, well, 699 00:34:59,160 --> 00:35:01,759 Speaker 3: because we care about privacy, you know, we can't build 700 00:35:01,760 --> 00:35:05,160 Speaker 3: in any safeguards if we see anything suggesting this or 701 00:35:05,200 --> 00:35:09,000 Speaker 3: if the if the app sees anything suggesting this, and 702 00:35:09,000 --> 00:35:12,640 Speaker 3: it's it's really up to to we're trying to put 703 00:35:12,640 --> 00:35:15,320 Speaker 3: control back in the parents' hands. And he kind of 704 00:35:15,320 --> 00:35:19,440 Speaker 3: made this like parental rights sort of argument. So this 705 00:35:19,560 --> 00:35:21,919 Speaker 3: is there is a lot of products like this. There's 706 00:35:21,920 --> 00:35:25,160 Speaker 3: a lot of like internet monitoring products. People just recently 707 00:35:25,800 --> 00:35:29,480 Speaker 3: learned about this this conservative product called Covenant Eyes because 708 00:35:29,560 --> 00:35:31,319 Speaker 3: the new Speaker of the house used it. 709 00:35:31,760 --> 00:35:34,440 Speaker 2: And Covenantize has been around for like twenty times a 710 00:35:34,440 --> 00:35:34,960 Speaker 2: long time. 711 00:35:36,200 --> 00:35:39,600 Speaker 3: What makes this one interesting is that they're actually selling 712 00:35:39,680 --> 00:35:41,480 Speaker 3: like Samsung smartphones. 713 00:35:41,239 --> 00:35:44,799 Speaker 2: Phone yeah and I with this software built in. And 714 00:35:44,920 --> 00:35:47,200 Speaker 2: I asked them because they are they are fit. They 715 00:35:47,239 --> 00:35:48,880 Speaker 2: said that we were selling an app for a while, 716 00:35:48,880 --> 00:35:51,400 Speaker 2: but you know that could it would work differently depending 717 00:35:51,400 --> 00:35:54,600 Speaker 2: on the phones. We decided to sell a hardware device, 718 00:35:55,600 --> 00:35:58,799 Speaker 2: and so I asked them, is there any branding on 719 00:35:58,840 --> 00:36:02,160 Speaker 2: this device that would make could clear that people have 720 00:36:02,239 --> 00:36:05,759 Speaker 2: a device that has this software on it. And he 721 00:36:05,840 --> 00:36:07,719 Speaker 2: had this long speech about how you know, for the 722 00:36:07,760 --> 00:36:10,360 Speaker 2: good the best of the relationship. All the child psychologists 723 00:36:10,400 --> 00:36:12,839 Speaker 2: we talked to say that you should tell your kid 724 00:36:13,040 --> 00:36:15,080 Speaker 2: that you have this on there, that you're listening to it. 725 00:36:15,440 --> 00:36:17,840 Speaker 2: But when I he handed me the phone, I'm answering 726 00:36:17,880 --> 00:36:19,719 Speaker 2: the question. Yeah, he handed me the phone, and I said, 727 00:36:19,760 --> 00:36:22,360 Speaker 2: is this the production model? He said, yes, this is identical. 728 00:36:22,840 --> 00:36:25,480 Speaker 2: Absolutely nothing, just says it's a Samsung phone. Yep. You 729 00:36:25,520 --> 00:36:27,839 Speaker 2: can lie to your kid very easily with this fucking thing. 730 00:36:29,320 --> 00:36:30,480 Speaker 2: So yeah, that is. 731 00:36:30,560 --> 00:36:33,200 Speaker 3: That is one product that gave me the most dick 732 00:36:33,360 --> 00:36:35,000 Speaker 3: out of everything we saw today. 733 00:36:35,160 --> 00:36:37,839 Speaker 2: That's the most outside of all of the AI. That's 734 00:36:38,320 --> 00:36:43,280 Speaker 2: the And again, we have a lot on you about 735 00:36:43,280 --> 00:36:47,840 Speaker 2: the AI as a little bit of a spoiler. At simultaneously, 736 00:36:48,000 --> 00:36:52,880 Speaker 2: perhaps the exact same minute, Garrison made a California State 737 00:36:53,040 --> 00:36:58,120 Speaker 2: Police sheriff furious at them, police chief furious at them, 738 00:36:58,480 --> 00:37:01,279 Speaker 2: and I pissed off a senior executive at Google and 739 00:37:01,360 --> 00:37:04,320 Speaker 2: a senior AI executive at McDonald's. 740 00:37:03,760 --> 00:37:07,640 Speaker 3: On two sides of Las Vegas and simultaneous pedals the 741 00:37:07,680 --> 00:37:08,400 Speaker 3: same times. 742 00:37:08,520 --> 00:37:11,360 Speaker 2: You're gonna hear both of that shit later, But for 743 00:37:11,480 --> 00:37:13,600 Speaker 2: right now, do you want to close? Is there one 744 00:37:13,600 --> 00:37:16,680 Speaker 2: other you know what, We're gonna have a whole episode 745 00:37:16,719 --> 00:37:19,279 Speaker 2: in the stuff that made us feel happy. I feel 746 00:37:19,320 --> 00:37:21,040 Speaker 2: like we should talk about one thing that was cool, 747 00:37:21,400 --> 00:37:24,399 Speaker 2: one of the really neat products there and while I'm 748 00:37:24,440 --> 00:37:28,840 Speaker 2: talking about this, my serfs will we'll find it. Do 749 00:37:28,920 --> 00:37:31,480 Speaker 2: you guys remember in like watching Star Trek, you're like 750 00:37:31,680 --> 00:37:34,600 Speaker 2: fucking reading Hitchhiker's Guide to the Galaxy. Idea of a 751 00:37:34,760 --> 00:37:37,920 Speaker 2: universal translator that was like simple and effective and you 752 00:37:37,920 --> 00:37:39,400 Speaker 2: could just like talk into it and so to the 753 00:37:39,440 --> 00:37:42,799 Speaker 2: other one. It would translate your conversations. There's a number 754 00:37:42,880 --> 00:37:45,279 Speaker 2: of ways people are working on for that. I know 755 00:37:45,360 --> 00:37:47,960 Speaker 2: that there are apps that are to some degree successful. 756 00:37:48,000 --> 00:37:51,080 Speaker 2: There was a company there called Time Kettle that just 757 00:37:51,120 --> 00:37:54,520 Speaker 2: had a little device. It was about three inches long, 758 00:37:54,640 --> 00:37:57,280 Speaker 2: maybe in maybe an inch thick, a little bit less 759 00:37:57,920 --> 00:38:02,160 Speaker 2: rectangular prism that there was this guy who spoke Mandarin 760 00:38:02,280 --> 00:38:05,319 Speaker 2: Ice obviously speak English, and we were able to have 761 00:38:05,360 --> 00:38:09,359 Speaker 2: a perfectly fluent conversation passing this thing, talking to this thing, 762 00:38:09,400 --> 00:38:11,040 Speaker 2: and passing it back and forth, and it would speak 763 00:38:11,080 --> 00:38:13,319 Speaker 2: for us. It worked great. It also has within the 764 00:38:13,320 --> 00:38:14,920 Speaker 2: body of the machine you can pop it out and 765 00:38:14,920 --> 00:38:17,520 Speaker 2: it has two different little earbuds. You put one in 766 00:38:17,600 --> 00:38:19,360 Speaker 2: Euro one in the others, and you can walk and 767 00:38:19,400 --> 00:38:22,360 Speaker 2: talk and it worked really well. I'm not enough of 768 00:38:22,400 --> 00:38:24,840 Speaker 2: an expert on translation technology to say this is unique, 769 00:38:24,840 --> 00:38:28,439 Speaker 2: but I can say, this is something that, like if 770 00:38:28,760 --> 00:38:31,440 Speaker 2: that I would absolutely buy to travel with. It's a 771 00:38:31,520 --> 00:38:35,880 Speaker 2: really again not saying it's like absolutely unique, because I'm 772 00:38:35,920 --> 00:38:37,759 Speaker 2: not an expert on this, but I was impressed with 773 00:38:37,800 --> 00:38:41,960 Speaker 2: a degree to which it allowed fluent conversation, including the 774 00:38:42,040 --> 00:38:45,520 Speaker 2: use of idioms, and he said it was I tested 775 00:38:45,640 --> 00:38:49,719 Speaker 2: with Mandarin. We had a decent length conversation that was 776 00:38:50,200 --> 00:38:54,120 Speaker 2: very intelligible. He said it worked with something like forty languages. 777 00:38:54,600 --> 00:38:56,880 Speaker 2: And that's the kind of thing that makes CS amazing 778 00:38:56,920 --> 00:39:00,440 Speaker 2: because this was five feet away from the dog shit 779 00:39:00,880 --> 00:39:04,919 Speaker 2: robot face that I asked about thermite. And that's the thing. 780 00:39:05,120 --> 00:39:08,200 Speaker 2: You get this like two people, one man whose dream 781 00:39:08,280 --> 00:39:12,000 Speaker 2: is to connect the world and break the barriers of language, 782 00:39:12,200 --> 00:39:14,480 Speaker 2: and one man who wants to make a robot that 783 00:39:14,600 --> 00:39:17,440 Speaker 2: makes you hate the world. And both of them are 784 00:39:17,520 --> 00:39:20,960 Speaker 2: next to each other, and there's also free liquor, and 785 00:39:21,040 --> 00:39:25,400 Speaker 2: by god, CES is a good time the Consumer Electronics show, Tavia, 786 00:39:25,520 --> 00:39:27,160 Speaker 2: How are you feeling about your first one? 787 00:39:27,880 --> 00:39:30,000 Speaker 4: This is my second one, but I'm feeling pretty good. 788 00:39:30,760 --> 00:39:30,880 Speaker 2: Oh. 789 00:39:30,880 --> 00:39:34,719 Speaker 4: As a journalist, yes, it was enlightening. I got to 790 00:39:34,960 --> 00:39:37,080 Speaker 4: see things that I did not know that I could 791 00:39:37,120 --> 00:39:40,719 Speaker 4: see as a journalist. And a lot of it was 792 00:39:41,280 --> 00:39:43,840 Speaker 4: very a lot of fluff. I'm being honest. 793 00:39:44,320 --> 00:39:47,920 Speaker 2: Yeah, it's mostly nonsense. And you know, aside from that 794 00:39:47,960 --> 00:39:51,680 Speaker 2: one guy we watched die, nobody died, Garrison. How did 795 00:39:51,760 --> 00:39:54,400 Speaker 2: you like eating dinner at Maramoto? Pretty good restaurant. 796 00:39:54,480 --> 00:39:57,000 Speaker 3: That's probably the best meal I've had in recent memory. 797 00:39:57,680 --> 00:39:59,880 Speaker 2: Well, then that justifies the company expense. 798 00:40:00,080 --> 00:40:03,880 Speaker 3: Yeah, no, that was the the food we had tonight, 799 00:40:03,920 --> 00:40:06,760 Speaker 3: and the very long walk back to the hotel. 800 00:40:06,840 --> 00:40:09,040 Speaker 2: Was quite the experience. Well, I wanted to have a 801 00:40:09,080 --> 00:40:14,000 Speaker 2: fight with you with the Excalibur Hotel's glasses. A fun 802 00:40:14,080 --> 00:40:16,680 Speaker 2: thing about Vegas. If you're drunk enough, you can throw 803 00:40:16,800 --> 00:40:20,839 Speaker 2: glasses at each other in the street outside and no 804 00:40:20,880 --> 00:40:23,440 Speaker 2: one can get stopped. Some can get angry. 805 00:40:23,280 --> 00:40:26,680 Speaker 3: Times because the glass weirdly doesn't break after it hits 806 00:40:26,680 --> 00:40:28,080 Speaker 3: the Robert Evans. 807 00:40:27,680 --> 00:40:30,160 Speaker 2: That was just Garrison. My glass broke immediately. 808 00:40:31,120 --> 00:40:33,880 Speaker 3: All right, Well, I think that probably does it for 809 00:40:33,960 --> 00:40:37,600 Speaker 3: us today. We will be back probably tomorrow with more 810 00:40:38,200 --> 00:40:42,920 Speaker 3: just just game changing revolutionary technology. 811 00:40:42,200 --> 00:40:44,960 Speaker 2: Game change of technology. Most importantly, folks, the hotel we're 812 00:40:44,960 --> 00:40:47,040 Speaker 2: staying in right now, which is one step up from 813 00:40:47,080 --> 00:40:49,759 Speaker 2: the cheapest I didn't put Garrison in Circus Circus again. 814 00:40:49,960 --> 00:40:53,440 Speaker 2: They advertised that they have ivs here. So my plan, 815 00:40:53,840 --> 00:40:56,319 Speaker 2: we're going to do the exact opposite of whatever you 816 00:40:56,360 --> 00:40:58,719 Speaker 2: do to avoid a hangover, and then we're all going 817 00:40:58,760 --> 00:41:00,560 Speaker 2: to get ivs in the morning. It's going to be 818 00:41:00,600 --> 00:41:05,200 Speaker 2: a good time stick around. Oh yeah, Tavia, you have 819 00:41:05,239 --> 00:41:07,920 Speaker 2: anything to plug, you. 820 00:41:07,880 --> 00:41:11,000 Speaker 4: Can follow me at ceut Mora on Twitter or x 821 00:41:11,040 --> 00:41:13,600 Speaker 4: depending on your preference there, or you can see my 822 00:41:13,680 --> 00:41:17,640 Speaker 4: work at Taviamora dot com. 823 00:41:17,960 --> 00:41:21,120 Speaker 2: Tavia illustrated both of my books, After the Revolution and 824 00:41:21,200 --> 00:41:23,200 Speaker 2: A Brief History of Ice, and she also made that 825 00:41:23,280 --> 00:41:26,400 Speaker 2: big weird sphere thing in the middle of Las Vegas, 826 00:41:26,480 --> 00:41:31,120 Speaker 2: so follow her seeut Mora and uh yeah, you know what. 827 00:41:31,200 --> 00:41:34,640 Speaker 2: Until next time, folks, find somebody who looks like they 828 00:41:34,719 --> 00:41:37,279 Speaker 2: might be a robot and just stab them a little bit, 829 00:41:38,080 --> 00:41:41,279 Speaker 2: not in the abdomen where there's pieces a little on 830 00:41:41,320 --> 00:41:43,319 Speaker 2: the arm, Slash them on the arm, you know what. 831 00:41:43,719 --> 00:41:48,719 Speaker 2: That can't hurt anybody anyway, We're done. 832 00:41:51,400 --> 00:41:53,760 Speaker 1: It could happen here as a production of cool Zone Media. 833 00:41:54,000 --> 00:41:56,640 Speaker 1: For more podcasts from cool Zone Media, visit our website 834 00:41:56,680 --> 00:41:58,920 Speaker 1: cool Zonemedia dot com or check us out on the 835 00:41:58,960 --> 00:41:59,960 Speaker 1: iHeartRadio app. 836 00:42:00,200 --> 00:42:01,600 Speaker 2: Podcasts, or wherever. 837 00:42:01,280 --> 00:42:03,800 Speaker 1: You listen to podcasts, you can find sources for It 838 00:42:03,840 --> 00:42:08,120 Speaker 1: could happen here, Updated monthly at coolzonemedia dot com slash sources. 839 00:42:08,160 --> 00:42:09,000 Speaker 1: Thanks for listening.