1 00:00:01,720 --> 00:00:05,400 Speaker 1: Also media. 2 00:00:05,519 --> 00:00:10,520 Speaker 2: Oh it's it could happen here. A podcast from CEES 3 00:00:10,760 --> 00:00:15,040 Speaker 2: The Consumer Electronics Show twenty twenty five. I am here 4 00:00:15,360 --> 00:00:20,279 Speaker 2: with my friend and work partner, Garrison Davis. We have 5 00:00:20,360 --> 00:00:24,680 Speaker 2: been trotting the boards, the boards being the Las Vegas 6 00:00:24,680 --> 00:00:29,600 Speaker 2: Convention Center all day. Garrison, today, you started earlier than 7 00:00:29,640 --> 00:00:32,640 Speaker 2: I did because I was catastrophically hungover after getting very 8 00:00:32,680 --> 00:00:35,280 Speaker 2: drunk with the priest last night. Yeah, we had a 9 00:00:35,320 --> 00:00:39,040 Speaker 2: nice dinner and then we set out to experience a 10 00:00:39,080 --> 00:00:40,919 Speaker 2: fresh new hell. And in this case, that fresh new 11 00:00:40,920 --> 00:00:44,120 Speaker 2: hell was what the AI bros Have ready for your children. 12 00:00:44,200 --> 00:00:47,360 Speaker 3: No, it's funny how we both stumbled across AI products 13 00:00:47,360 --> 00:00:50,320 Speaker 3: for kids like the same day, during the exact same time. 14 00:00:50,400 --> 00:00:52,880 Speaker 2: Uh huh. Yeah, it really is remarkable that, Like, yeah, 15 00:00:53,000 --> 00:00:55,000 Speaker 2: I guess in part just because like that is such 16 00:00:55,000 --> 00:00:58,120 Speaker 2: a focus. I think it has something to do with 17 00:00:58,200 --> 00:01:01,480 Speaker 2: what you saw some of yesterday where and I had 18 00:01:01,520 --> 00:01:03,600 Speaker 2: caught a little the day before where they're like, yeah, 19 00:01:03,600 --> 00:01:05,640 Speaker 2: they don't really like this stuff. We're gonna have to 20 00:01:05,640 --> 00:01:08,240 Speaker 2: get around it. Like obviously this is inevitable, but like 21 00:01:08,280 --> 00:01:10,839 Speaker 2: people really also seem to not enjoy it very much. 22 00:01:11,319 --> 00:01:14,680 Speaker 2: No one can explain why but I think that this 23 00:01:14,760 --> 00:01:16,320 Speaker 2: may be like, Okay, well, if we get them when 24 00:01:16,319 --> 00:01:18,720 Speaker 2: they're young enough, if we train these kids, we can 25 00:01:18,760 --> 00:01:20,600 Speaker 2: force this on them and they'll have no choice but 26 00:01:20,720 --> 00:01:21,160 Speaker 2: to like it. 27 00:01:21,520 --> 00:01:23,680 Speaker 3: And it's interesting to say that because the first thing 28 00:01:23,720 --> 00:01:25,360 Speaker 3: I did today was go to a panel at the 29 00:01:25,400 --> 00:01:32,160 Speaker 3: Venetian titled Raising AI Kids Responsibly, which is maybe the 30 00:01:32,200 --> 00:01:34,280 Speaker 3: best title for any single panel. 31 00:01:34,440 --> 00:01:36,120 Speaker 2: Yeah, that's fucked up. 32 00:01:36,800 --> 00:01:40,240 Speaker 3: The description was a new generation of kids are being 33 00:01:40,280 --> 00:01:43,160 Speaker 3: brought up with AI technologies as a part of their lives. 34 00:01:43,959 --> 00:01:48,000 Speaker 3: How does this affect their learning, entertainment and socialization? Which 35 00:01:48,040 --> 00:01:50,080 Speaker 3: is a good question. Yeah, we should be asking that 36 00:01:50,720 --> 00:01:54,240 Speaker 3: more people, should There four people on the panel Karen 37 00:01:54,480 --> 00:01:59,400 Speaker 3: ruth Wong from Ido, play Lab Partnerships, Nilo Lewick from 38 00:01:59,440 --> 00:02:03,840 Speaker 3: Skyrocket Toys, Melissa Hunter from Family Video Network, and Joshua 39 00:02:03,880 --> 00:02:06,480 Speaker 3: Garrett from a Ready Land. And I'll talk about all 40 00:02:06,520 --> 00:02:09,600 Speaker 3: these all these different companies and people in a sec. 41 00:02:10,000 --> 00:02:10,240 Speaker 4: Yeah. 42 00:02:10,240 --> 00:02:12,959 Speaker 3: So the panel started with Karen ruth Wang from Ido, 43 00:02:13,480 --> 00:02:16,000 Speaker 3: which is the company that first partnered with sessame a 44 00:02:16,040 --> 00:02:18,800 Speaker 3: workshop to start making online apps. So you know, that 45 00:02:18,919 --> 00:02:21,800 Speaker 3: was interesting to me because sessme workshop generally puts a 46 00:02:21,800 --> 00:02:24,600 Speaker 3: lot of care into, like, you know, making media for children. 47 00:02:24,840 --> 00:02:26,480 Speaker 3: This is a company that works with them. So I 48 00:02:26,560 --> 00:02:29,840 Speaker 3: was interested in what she was gonna say, and basically 49 00:02:29,960 --> 00:02:33,560 Speaker 3: she talked not about any products that her company's making, 50 00:02:33,720 --> 00:02:38,520 Speaker 3: but instead research into how like AI is affecting gen Z, 51 00:02:39,040 --> 00:02:41,960 Speaker 3: how gen Z wants to like interact with AI, and 52 00:02:41,960 --> 00:02:43,800 Speaker 3: talked about a whole bunch of research that her company 53 00:02:43,840 --> 00:02:46,600 Speaker 3: has been doing for the past few years on like 54 00:02:46,680 --> 00:02:48,840 Speaker 3: what people you know, my age and you know younger, 55 00:02:49,280 --> 00:02:52,320 Speaker 3: what their attitudes are towards this thing that has become 56 00:02:52,400 --> 00:02:54,960 Speaker 3: like an increasingly encroaching part. 57 00:02:54,800 --> 00:02:55,560 Speaker 4: Of their lives. 58 00:02:55,960 --> 00:02:58,360 Speaker 3: I'm just going to play a series of clips. 59 00:02:58,520 --> 00:02:59,679 Speaker 2: Couldn't be more excited. 60 00:03:00,440 --> 00:03:02,359 Speaker 5: So I was sharing this morning a little bit about 61 00:03:02,400 --> 00:03:03,000 Speaker 5: what they're learning. 62 00:03:03,919 --> 00:03:05,400 Speaker 1: That question is what if the. 63 00:03:05,360 --> 00:03:07,520 Speaker 5: Tech savvy generation is at buying anity? 64 00:03:07,600 --> 00:03:08,720 Speaker 1: Moore. We have a lot of. 65 00:03:08,680 --> 00:03:11,600 Speaker 5: Really interesting opinions and assumptions in our heads that these 66 00:03:11,600 --> 00:03:12,880 Speaker 5: are the ones that are going to be the first 67 00:03:12,960 --> 00:03:15,280 Speaker 5: users and the first ars, and in many ways they are. 68 00:03:15,600 --> 00:03:17,720 Speaker 5: But then the ones that also come with the most 69 00:03:18,120 --> 00:03:21,960 Speaker 5: informed opinions, not just about how badly the tech feels, 70 00:03:22,000 --> 00:03:24,760 Speaker 5: how cringey some of them I be landing, but also 71 00:03:24,800 --> 00:03:27,480 Speaker 5: how it's affecting their sense of humanity. 72 00:03:27,840 --> 00:03:29,040 Speaker 2: That's fascinating. 73 00:03:29,440 --> 00:03:29,760 Speaker 4: Yeah. 74 00:03:29,800 --> 00:03:31,960 Speaker 3: The very first thing this is literally like the minutes 75 00:03:32,000 --> 00:03:33,880 Speaker 3: into the panels, is like after they do their introductions, 76 00:03:33,880 --> 00:03:36,480 Speaker 3: the first thing to talk about is how gen Z 77 00:03:36,920 --> 00:03:39,040 Speaker 3: is both an early adopter of new tech, but they're 78 00:03:39,080 --> 00:03:41,080 Speaker 3: also kind of the most AI critical. 79 00:03:41,320 --> 00:03:42,880 Speaker 2: Yeah. Yeah, yeah, it's cringey. 80 00:03:43,120 --> 00:03:46,040 Speaker 3: Yeah, like how it feels cringy and and not just that, 81 00:03:46,240 --> 00:03:50,120 Speaker 3: how it's affecting people's sense of humanity and viewing this like, 82 00:03:50,200 --> 00:03:51,920 Speaker 3: you know, in some ways as like an obstacle to 83 00:03:51,920 --> 00:03:54,240 Speaker 3: get over, but also this is I'm not sure how 84 00:03:54,280 --> 00:03:56,520 Speaker 3: I feel about about, like, you know, Karen and the 85 00:03:56,520 --> 00:03:59,760 Speaker 3: company she's representing here, because in some ways I felt 86 00:03:59,760 --> 00:04:03,560 Speaker 3: like she's probably actually good. She just had to frame 87 00:04:03,760 --> 00:04:05,800 Speaker 3: all of the things she was saying as like shocking 88 00:04:05,840 --> 00:04:08,880 Speaker 3: revelations to all these tech bros. Be like, yeah, actually, 89 00:04:09,240 --> 00:04:12,320 Speaker 3: it turns out kids surprisingly don't want their lives run 90 00:04:12,360 --> 00:04:12,800 Speaker 3: by AI. 91 00:04:12,920 --> 00:04:15,360 Speaker 2: Yeah, don't want to communicate only with AI. 92 00:04:15,560 --> 00:04:17,320 Speaker 3: I actually liked what she was saying, It's just her 93 00:04:17,320 --> 00:04:20,560 Speaker 3: presentation of it felt kind of odd at times because 94 00:04:20,600 --> 00:04:21,360 Speaker 3: of who the audience is. 95 00:04:21,640 --> 00:04:23,479 Speaker 2: Get do you get the feeling that she was like 96 00:04:24,360 --> 00:04:28,080 Speaker 2: a bad person trying to help, like other bad people 97 00:04:28,279 --> 00:04:31,040 Speaker 2: sell poison to children, or somebody who was trying to 98 00:04:31,080 --> 00:04:33,600 Speaker 2: like in a way that these guys would listen to 99 00:04:33,640 --> 00:04:35,120 Speaker 2: tell them that what they're doing isn't work. 100 00:04:35,080 --> 00:04:38,560 Speaker 3: Maybe like twenty eighty so like a little bit of like, yeah, 101 00:04:38,560 --> 00:04:40,760 Speaker 3: we have to sell some of this, but mostly it 102 00:04:40,800 --> 00:04:44,360 Speaker 3: felt like trying to inform people about how this isn't 103 00:04:44,360 --> 00:04:46,760 Speaker 3: really what people want, and you know, it has a 104 00:04:46,800 --> 00:04:49,960 Speaker 3: lot of actual dropbacks. Here's a clip of Karen talking 105 00:04:49,960 --> 00:04:52,120 Speaker 3: about the sort of questions that they're asking kids to, 106 00:04:52,279 --> 00:04:54,840 Speaker 3: you know, get data on how they feel about AI. 107 00:04:56,080 --> 00:04:57,560 Speaker 4: Here's a few progocative ones. 108 00:04:57,760 --> 00:05:01,039 Speaker 5: You really put tangible expressions what it would be like 109 00:05:01,120 --> 00:05:04,520 Speaker 5: to interact with a potential AI tool. And so we 110 00:05:04,600 --> 00:05:07,800 Speaker 5: asked questions like, Okay, you've recently had a friend breakup. 111 00:05:08,200 --> 00:05:10,200 Speaker 5: What kind of intervention do you want? Do you want 112 00:05:10,240 --> 00:05:13,080 Speaker 5: someone to counsel you through that process, or do you 113 00:05:13,160 --> 00:05:14,919 Speaker 5: want someone to kind of replace that friend for the 114 00:05:14,920 --> 00:05:17,599 Speaker 5: time being, just so you can you know, back yourself 115 00:05:17,640 --> 00:05:21,000 Speaker 5: out from that relationship. So by asking really tangible questions, 116 00:05:21,160 --> 00:05:23,600 Speaker 5: by putting prototypes in front of youth, we were able 117 00:05:23,640 --> 00:05:27,080 Speaker 5: to co design to view insights, but this one it 118 00:05:27,120 --> 00:05:30,800 Speaker 5: always gets all audience members. We put out a provocational 119 00:05:30,920 --> 00:05:35,480 Speaker 5: expression of imagine you could have an AI trained on 120 00:05:35,520 --> 00:05:38,800 Speaker 5: your preferences, on your personalities, live your life for you. 121 00:05:39,240 --> 00:05:40,520 Speaker 5: Imagine they could. 122 00:05:40,320 --> 00:05:43,120 Speaker 2: Swipe your tender for you. They would have the achy. 123 00:05:42,880 --> 00:05:46,800 Speaker 5: Conversations, or they would go through the awkward introductions you 124 00:05:47,040 --> 00:05:50,640 Speaker 5: new person in school. And we heard some really interesting things. 125 00:05:50,920 --> 00:05:52,680 Speaker 5: I want to go on a bad date for myself 126 00:05:52,720 --> 00:05:55,200 Speaker 5: and I want to have that bad vacation. There was 127 00:05:55,240 --> 00:05:59,640 Speaker 5: a really interesting design that being able to live life 128 00:05:59,640 --> 00:06:00,760 Speaker 5: for your selves, that pat. 129 00:06:02,279 --> 00:06:04,919 Speaker 3: Being able to live life for yourself is a badge 130 00:06:05,000 --> 00:06:05,520 Speaker 3: of honor. 131 00:06:05,760 --> 00:06:08,360 Speaker 2: Amazing that human beings don't want a robot to replace 132 00:06:08,400 --> 00:06:11,200 Speaker 2: them in such drudgery as the search for love and 133 00:06:11,320 --> 00:06:16,000 Speaker 2: human connection. Incredible that that teens aren't interested in letting 134 00:06:16,040 --> 00:06:18,320 Speaker 2: a robot go on dates for them. 135 00:06:18,480 --> 00:06:20,480 Speaker 3: No, it's super interesting and like even like the first 136 00:06:20,680 --> 00:06:23,640 Speaker 3: thing she said about you know you like lost some friends. 137 00:06:24,040 --> 00:06:25,919 Speaker 3: Do you want an AI to like to you know, 138 00:06:26,040 --> 00:06:27,800 Speaker 3: like counsel you or like you know, like like like 139 00:06:27,839 --> 00:06:31,080 Speaker 3: talk about your feelings or do you want a friend replacement? 140 00:06:31,640 --> 00:06:34,480 Speaker 3: And no, people don't want a friend replacement. 141 00:06:34,680 --> 00:06:35,520 Speaker 4: And this even like. 142 00:06:35,480 --> 00:06:38,279 Speaker 3: Honor question of like you know, like like AI swiping 143 00:06:38,320 --> 00:06:40,320 Speaker 3: your Tinder for you trying to figure out what your 144 00:06:40,320 --> 00:06:43,880 Speaker 3: preferences are. No, like gen Z wants to live life 145 00:06:43,920 --> 00:06:46,360 Speaker 3: for themselves. It's like it's odd because. 146 00:06:46,120 --> 00:06:49,080 Speaker 2: I because that's what being a person that a person 147 00:06:49,120 --> 00:06:49,560 Speaker 2: that's right. 148 00:06:49,440 --> 00:06:51,039 Speaker 3: But like it's it's odd how that's framed as like 149 00:06:51,080 --> 00:06:52,800 Speaker 3: a surprising revelation. 150 00:06:52,920 --> 00:06:54,599 Speaker 2: Wow, these kids want to live lives. 151 00:06:55,160 --> 00:06:56,640 Speaker 3: So yeah, it was. It was a kind of an 152 00:06:56,640 --> 00:06:59,279 Speaker 3: odd panel to go to. She highlighted that the key 153 00:06:59,279 --> 00:07:02,440 Speaker 3: areas of tension in AI for for gen Z is 154 00:07:02,720 --> 00:07:07,280 Speaker 3: twofold a creative expression and human relationships. These are the 155 00:07:07,360 --> 00:07:11,680 Speaker 3: two biggest things that people are concerned about is how 156 00:07:11,760 --> 00:07:14,200 Speaker 3: how will affect your ability to you know, make art 157 00:07:14,320 --> 00:07:16,520 Speaker 3: be creative and what it means for like, you know, 158 00:07:16,640 --> 00:07:18,920 Speaker 3: relationships as a human being, right, especially if you're being 159 00:07:18,920 --> 00:07:21,480 Speaker 3: asked questions about you know, would you let an AI 160 00:07:22,040 --> 00:07:25,560 Speaker 3: like meet someone that you want to date first, have 161 00:07:25,560 --> 00:07:27,640 Speaker 3: have them go through like a first like fake AI 162 00:07:27,800 --> 00:07:32,120 Speaker 3: date to like to like get through like icebreaker questions 163 00:07:32,200 --> 00:07:32,640 Speaker 3: or something. 164 00:07:33,080 --> 00:07:35,920 Speaker 2: The amount of people I meet who feel that way 165 00:07:35,960 --> 00:07:39,000 Speaker 2: about like their digital twins or like who take pride 166 00:07:39,080 --> 00:07:41,520 Speaker 2: in having like an AI trained off of their social 167 00:07:41,560 --> 00:07:44,480 Speaker 2: media posts at events like these. It's shocking to me 168 00:07:44,600 --> 00:07:48,440 Speaker 2: because like, do you feel good about saying that a 169 00:07:48,720 --> 00:07:51,360 Speaker 2: chat bot? You feel like it is you that you 170 00:07:51,400 --> 00:07:54,760 Speaker 2: have trained a chatbot to be a reasonable simulacrum of yourself? 171 00:07:54,800 --> 00:07:58,040 Speaker 2: Do you feel good about thinking that? Does that make 172 00:07:58,080 --> 00:07:59,920 Speaker 2: you happy about yourself? 173 00:08:00,160 --> 00:08:00,360 Speaker 1: Well? 174 00:08:00,400 --> 00:08:03,760 Speaker 3: And the data that person was talking about showed no, like, yeah, 175 00:08:03,800 --> 00:08:06,720 Speaker 3: people actually don't want these things, Like no, that's actually 176 00:08:06,800 --> 00:08:09,280 Speaker 3: is it what anyone wants out of life? This isn't 177 00:08:09,280 --> 00:08:11,480 Speaker 3: what anyone wants out of this technology, right, Like we 178 00:08:11,600 --> 00:08:13,400 Speaker 3: use AI all the time, you know, like like you know, 179 00:08:13,560 --> 00:08:16,240 Speaker 3: like autocomplete. It has a whole bunch of like you know, 180 00:08:16,280 --> 00:08:17,360 Speaker 3: pretty basic uses. 181 00:08:17,520 --> 00:08:19,840 Speaker 2: Yeah, it saves me from having to spell certain words 182 00:08:19,880 --> 00:08:20,559 Speaker 2: too many times. 183 00:08:20,640 --> 00:08:22,800 Speaker 3: Yeah, but we don't want it to like go on 184 00:08:22,920 --> 00:08:25,040 Speaker 3: dates for us. And the whole part of being human 185 00:08:25,200 --> 00:08:27,440 Speaker 3: is having you know, a degree of bad experiences and 186 00:08:27,440 --> 00:08:30,360 Speaker 3: that that helps shape us as people. And this isn't 187 00:08:30,360 --> 00:08:32,480 Speaker 3: like a hurdle to get over. This is like a 188 00:08:32,559 --> 00:08:34,920 Speaker 3: part of what it means to be human. And she 189 00:08:35,000 --> 00:08:36,600 Speaker 3: kind of talked about that a little bit more in 190 00:08:36,679 --> 00:08:41,280 Speaker 3: this last clip that I'll play the next one here. 191 00:08:41,559 --> 00:08:45,040 Speaker 5: I prefer to give opportunities to people over technology. I 192 00:08:45,080 --> 00:08:48,920 Speaker 5: think these are the ones. And again they've seen what 193 00:08:49,000 --> 00:08:53,240 Speaker 5: it's like when people feel replaced. I'll definitely share a 194 00:08:53,280 --> 00:08:56,600 Speaker 5: lot more, but starting off with a few key learnings. 195 00:08:56,720 --> 00:09:00,360 Speaker 5: Gen Z's valid advised some perspective from loved experience, something 196 00:09:00,360 --> 00:09:02,920 Speaker 5: about designing for friction. I'm gonna do like an design 197 00:09:02,960 --> 00:09:07,160 Speaker 5: for friction. In our age of optimization and our age 198 00:09:07,200 --> 00:09:09,720 Speaker 5: of assuming that everything should move as fast as possible 199 00:09:09,720 --> 00:09:12,760 Speaker 5: to make life as smooth as possible. There's something about 200 00:09:12,760 --> 00:09:15,800 Speaker 5: the challenge, and that comes back to play, right, Why 201 00:09:15,840 --> 00:09:18,400 Speaker 5: would we spend so much time to hit a ball 202 00:09:18,880 --> 00:09:22,960 Speaker 5: several hundred yards away. There's something about the joy of achieving, 203 00:09:23,000 --> 00:09:26,120 Speaker 5: the joy of overcoming challenge, the joy of moving through 204 00:09:26,120 --> 00:09:29,040 Speaker 5: your first friend breaker or your boyfriend or girlfriend breakup 205 00:09:29,280 --> 00:09:32,439 Speaker 5: that makes you to a person. And as many times 206 00:09:32,480 --> 00:09:35,400 Speaker 5: as helicopter parents or as people who are design technologies 207 00:09:35,400 --> 00:09:38,960 Speaker 5: assume that the smoothest possible path is the best possible path, 208 00:09:39,160 --> 00:09:40,040 Speaker 5: there's some rush back. 209 00:09:40,080 --> 00:09:44,080 Speaker 2: There, some pushback, some pushback to the idea that like 210 00:09:44,880 --> 00:09:48,439 Speaker 2: you should live a life, your one precious life should 211 00:09:48,480 --> 00:09:48,880 Speaker 2: be lived. 212 00:09:49,200 --> 00:09:51,040 Speaker 3: No, but there's a whole bunch of interesting stuff there. 213 00:09:51,800 --> 00:09:54,360 Speaker 3: Gen Z has great fears about being replaced. Yeah, you know, 214 00:09:54,480 --> 00:09:58,960 Speaker 3: like having like workforce replacement. Gen Z prefers to actually 215 00:09:58,960 --> 00:10:02,040 Speaker 3: like make connections and network with other people. Our agent 216 00:10:02,080 --> 00:10:03,439 Speaker 3: actually like share opportunities. 217 00:10:03,640 --> 00:10:03,920 Speaker 2: Yeah. 218 00:10:04,080 --> 00:10:06,200 Speaker 3: In previous panels, this was something that was also talked 219 00:10:06,240 --> 00:10:08,680 Speaker 3: about how millennials were way more like selective about like 220 00:10:08,720 --> 00:10:11,360 Speaker 3: sharing like employment opportunities because they were like so focused 221 00:10:11,400 --> 00:10:13,360 Speaker 3: on making sure that they make it and there's a 222 00:10:13,360 --> 00:10:16,559 Speaker 3: lot more like like open collaboration and sharing sharing opportunities. 223 00:10:16,600 --> 00:10:18,880 Speaker 2: It's harder, so you guys have to be better about that. 224 00:10:19,280 --> 00:10:19,559 Speaker 4: Yeah. 225 00:10:19,720 --> 00:10:23,040 Speaker 3: Yeah, no, talking about you know, like designing for friction. 226 00:10:23,559 --> 00:10:26,000 Speaker 3: There's like there's value in something being challenging. 227 00:10:26,120 --> 00:10:29,440 Speaker 2: That was very interesting because the surprise about that because 228 00:10:29,440 --> 00:10:32,199 Speaker 2: it is it is this kind of I'm sure most 229 00:10:32,200 --> 00:10:34,880 Speaker 2: of these people were born to wealth and privilege and 230 00:10:34,920 --> 00:10:37,280 Speaker 2: the first thing that people do with money, the primary 231 00:10:37,320 --> 00:10:40,240 Speaker 2: reason to have money is to reduce friction. The fact 232 00:10:40,280 --> 00:10:43,480 Speaker 2: that that's surprising to anyone that like, no, like friction's 233 00:10:43,600 --> 00:10:46,600 Speaker 2: necessary otherwise you're not a person. I mean, it's like that, 234 00:10:46,679 --> 00:10:49,679 Speaker 2: It's like the ghoule we saw the other night, right, 235 00:10:49,840 --> 00:10:53,400 Speaker 2: Like you know, they're just not really people, you know. 236 00:10:54,120 --> 00:10:55,640 Speaker 3: One thing she kind of closed on in this section 237 00:10:55,720 --> 00:10:58,160 Speaker 3: is talking about how how gen Z does not trust 238 00:10:58,200 --> 00:11:01,839 Speaker 3: AI to understand the nuance of their lives, especially in 239 00:11:01,920 --> 00:11:05,240 Speaker 3: this age of like tech optimization, Like that misses a 240 00:11:05,280 --> 00:11:07,480 Speaker 3: part of what it means to, like, you know, feel 241 00:11:07,520 --> 00:11:09,840 Speaker 3: proud of yourself and the work that you've done. Something 242 00:11:09,880 --> 00:11:11,040 Speaker 3: should have talked about at the very end of the 243 00:11:11,080 --> 00:11:13,680 Speaker 3: panel was like how they hadn't factored in like like 244 00:11:13,760 --> 00:11:16,480 Speaker 3: gen Z, you know, and people in general, right, will 245 00:11:16,640 --> 00:11:19,040 Speaker 3: will feel proud about, you know, making a piece of art, 246 00:11:19,840 --> 00:11:23,560 Speaker 3: and they don't have that same sense of pride for 247 00:11:23,600 --> 00:11:26,440 Speaker 3: an AI generated image no where that's like a screenplay, 248 00:11:26,480 --> 00:11:29,920 Speaker 3: whether it's whatever someone gave an example of, Like you know, 249 00:11:29,960 --> 00:11:33,319 Speaker 3: I have a kid who does creative stuff. They edit videos, right, 250 00:11:33,600 --> 00:11:36,319 Speaker 3: and there is AI tools that make editing videos like easier, 251 00:11:36,679 --> 00:11:39,040 Speaker 3: But if the AI does all the work, they don't 252 00:11:39,240 --> 00:11:42,280 Speaker 3: feel happy about that, Like they don't feel proud, they 253 00:11:42,280 --> 00:11:44,640 Speaker 3: don't feel like they've actually achieved something. And you have 254 00:11:44,720 --> 00:11:46,400 Speaker 3: to feel proud about the work that you've done, so 255 00:11:46,440 --> 00:11:48,920 Speaker 3: like there's actually a sense of like ownership over like 256 00:11:48,920 --> 00:11:51,840 Speaker 3: the art that we create an exact quote was quote 257 00:11:52,120 --> 00:11:57,360 Speaker 3: you can't eliminate life formative aspects, which which is like yes, 258 00:11:57,559 --> 00:12:01,199 Speaker 3: like yeah, you don't ever have any I'm happy someone 259 00:12:01,200 --> 00:12:03,800 Speaker 3: at CS is saying this, the fact that it needs 260 00:12:03,840 --> 00:12:05,120 Speaker 3: to be said at all. 261 00:12:05,280 --> 00:12:06,560 Speaker 2: Very bleak, very sad. 262 00:12:06,679 --> 00:12:07,880 Speaker 4: It's really bleak. 263 00:12:08,080 --> 00:12:14,400 Speaker 2: Yeah, dating people, making friends, being social, doing whatever it 264 00:12:14,440 --> 00:12:17,160 Speaker 2: is you do for a living as yourself is what 265 00:12:17,280 --> 00:12:18,920 Speaker 2: life is like. 266 00:12:19,280 --> 00:12:19,480 Speaker 4: Yeah. 267 00:12:19,520 --> 00:12:20,920 Speaker 3: I think last thing that you talked about it is 268 00:12:20,960 --> 00:12:25,120 Speaker 3: like gen Z aren't technophobes, but they do have strong boundaries. 269 00:12:25,280 --> 00:12:26,760 Speaker 2: Yeah, good, and they. 270 00:12:26,520 --> 00:12:28,760 Speaker 3: Have to reinforce their own sense of self because we're 271 00:12:28,760 --> 00:12:33,840 Speaker 3: constantly being bombarded with you know, slop content, influencers, podcasts, 272 00:12:33,880 --> 00:12:37,000 Speaker 3: live streams like everything you know, TikTok social media. So 273 00:12:37,000 --> 00:12:40,000 Speaker 3: we have strong boundaries on how tech it like integrates 274 00:12:40,320 --> 00:12:42,319 Speaker 3: into our lives and a lot of the way these 275 00:12:42,320 --> 00:12:45,040 Speaker 3: tech bros want AI to like become more invasive. 276 00:12:45,280 --> 00:12:47,240 Speaker 4: We are not super into now. 277 00:12:47,559 --> 00:12:50,600 Speaker 2: Like all they're offering people is like this machine will 278 00:12:50,640 --> 00:12:54,040 Speaker 2: do everything that you actually want to do with your time, 279 00:12:54,080 --> 00:12:56,280 Speaker 2: and also you won't have a job, Like that's what 280 00:12:56,400 --> 00:12:58,200 Speaker 2: big tech is promising gen Z. 281 00:12:58,440 --> 00:13:00,120 Speaker 4: Yeah, so that's why I started my day. 282 00:13:00,160 --> 00:13:05,360 Speaker 2: Speaking of gen z Z stands for zillions of dollars 283 00:13:05,400 --> 00:13:17,920 Speaker 2: that will get if you listen to these ads and 284 00:13:18,000 --> 00:13:18,680 Speaker 2: we're back. 285 00:13:19,520 --> 00:13:22,800 Speaker 3: So unfortunately, that panel wasn't just talking about how kids 286 00:13:22,800 --> 00:13:25,360 Speaker 3: maybe don't want AI to run their lives. It also 287 00:13:25,400 --> 00:13:28,280 Speaker 3: had two other people from AI products. The first one 288 00:13:28,600 --> 00:13:31,959 Speaker 3: that I'll mention is called ready Land, which I think 289 00:13:31,960 --> 00:13:34,120 Speaker 3: I think partnered with Amazon ors to some degree. It 290 00:13:34,160 --> 00:13:37,679 Speaker 3: at least uses like Amazon Alexa's. It's essentially a chooser 291 00:13:37,760 --> 00:13:40,440 Speaker 3: and adventure story book with like a natural physical copy 292 00:13:40,559 --> 00:13:42,800 Speaker 3: that Alexa will read to you and you can talk 293 00:13:42,840 --> 00:13:44,800 Speaker 3: to it, so you can talk to characters and choose 294 00:13:44,840 --> 00:13:47,240 Speaker 3: different pathways. I was more skeptical out of it at first, 295 00:13:47,240 --> 00:13:49,240 Speaker 3: because I just don't like AI's reading books to kids. 296 00:13:49,600 --> 00:13:52,480 Speaker 3: But this became more like an interactive story thing, and 297 00:13:52,480 --> 00:13:55,480 Speaker 3: it actually seemed kind of good at what it was doing. 298 00:13:55,920 --> 00:13:59,760 Speaker 3: And then the guy behind it clarified ready Land is 299 00:13:59,800 --> 00:14:03,560 Speaker 3: not using AI to generate new content for kids. It's 300 00:14:03,600 --> 00:14:06,480 Speaker 3: all like pre programmed, like human paths, you know, just 301 00:14:06,520 --> 00:14:09,560 Speaker 3: with so many variables already built in based on you know, 302 00:14:09,600 --> 00:14:11,560 Speaker 3: like if you're making food in one of these books, 303 00:14:11,640 --> 00:14:13,000 Speaker 3: or like you know, a kid wants to go on 304 00:14:13,000 --> 00:14:15,480 Speaker 3: like a weird side quest. The AI already has like 305 00:14:15,559 --> 00:14:17,880 Speaker 3: stuff for how to handle that. You knows how to 306 00:14:17,880 --> 00:14:19,680 Speaker 3: say these words and knows how to stitch together these things. 307 00:14:19,840 --> 00:14:23,400 Speaker 3: But it's not actually generating new content itself. It's if 308 00:14:23,440 --> 00:14:25,680 Speaker 3: everything is like pre baked, it can be assembled in 309 00:14:25,760 --> 00:14:28,200 Speaker 3: many different ways. Okay, so every time you read a 310 00:14:28,200 --> 00:14:31,320 Speaker 3: book to the kid, it'll be slightly different because the 311 00:14:31,600 --> 00:14:34,400 Speaker 3: kid will respond to certain plot elements. The kid can 312 00:14:34,440 --> 00:14:37,520 Speaker 3: like talk to talk to characters, ask questions. So like 313 00:14:37,640 --> 00:14:39,800 Speaker 3: this was this was actually pretty interesting. The fact that 314 00:14:39,840 --> 00:14:42,880 Speaker 3: it's simply not even generating new content makes it miles 315 00:14:42,920 --> 00:14:45,040 Speaker 3: better than any of these other. 316 00:14:44,960 --> 00:14:47,680 Speaker 2: AI Kids products. That it's actually just kind of using 317 00:14:47,920 --> 00:14:50,120 Speaker 2: some of the tech that makes up AI. Exactly how 318 00:14:50,160 --> 00:14:53,800 Speaker 2: you to make something humans wrote more reactive exactly. 319 00:14:53,920 --> 00:14:55,520 Speaker 3: Yeah, So like it's it's it's it's actually like a 320 00:14:55,520 --> 00:14:58,560 Speaker 3: pretty interesting piece of technology, and it's not just Alexa 321 00:14:58,840 --> 00:15:01,520 Speaker 3: reading a story book. It has like a large interactive 322 00:15:01,560 --> 00:15:04,080 Speaker 3: element which you know that makes the Alexa part, you know, 323 00:15:04,360 --> 00:15:07,840 Speaker 3: actually useful. And then there was this other product, what 324 00:15:07,880 --> 00:15:10,240 Speaker 3: was this What was this one called? It's from a 325 00:15:10,240 --> 00:15:13,760 Speaker 3: company called Skyrocket Toys hoe the AI Teddy. 326 00:15:13,440 --> 00:15:15,360 Speaker 4: Bear or something like that. 327 00:15:16,040 --> 00:15:20,680 Speaker 3: Yeah, Poka Hoe the AI bear, which does generate live 328 00:15:20,760 --> 00:15:24,880 Speaker 3: content with with guardrails. He did say, oh good, but 329 00:15:25,360 --> 00:15:28,880 Speaker 3: the AI content both comes from the input and the output. 330 00:15:29,520 --> 00:15:31,480 Speaker 3: He talked about guardrails, you know, he said, you know, 331 00:15:31,600 --> 00:15:36,400 Speaker 3: chat gpt does have internal guardrails, but the reliability is suspect, 332 00:15:37,240 --> 00:15:40,720 Speaker 3: which there certainly is, considering just last week there was 333 00:15:40,720 --> 00:15:43,080 Speaker 3: a piece of news about chat gpt helping someone build 334 00:15:43,080 --> 00:15:43,480 Speaker 3: a bomb. 335 00:15:43,640 --> 00:15:46,240 Speaker 2: Yeah yeah, which they used in just this magical city. 336 00:15:46,480 --> 00:15:46,800 Speaker 4: Yes. 337 00:15:47,000 --> 00:15:50,120 Speaker 3: So he did say that, like guardrail reliability can be suspect, 338 00:15:50,200 --> 00:15:52,000 Speaker 3: but there is a difference when you have certainly like 339 00:15:52,000 --> 00:15:54,520 Speaker 3: like more like child friendly features turned on. But he 340 00:15:54,560 --> 00:15:57,360 Speaker 3: admitted that like moderation is part of the challenge. 341 00:15:57,680 --> 00:15:58,080 Speaker 4: I don't know. 342 00:15:58,120 --> 00:16:02,240 Speaker 3: He basically how this works is you have an app 343 00:16:02,280 --> 00:16:04,720 Speaker 3: synced up with this AI teddy bear that talks with 344 00:16:04,760 --> 00:16:06,360 Speaker 3: a not very pleasing voice. 345 00:16:06,480 --> 00:16:07,280 Speaker 2: Oh I got to hear it. 346 00:16:07,760 --> 00:16:08,880 Speaker 4: Do you want me to pull this up? 347 00:16:09,000 --> 00:16:09,240 Speaker 2: Yes? 348 00:16:09,280 --> 00:16:12,640 Speaker 3: Absolutely, okay, But basically you put in a whole bunch 349 00:16:12,640 --> 00:16:14,480 Speaker 3: of story inputs, being like, I want the story set 350 00:16:14,520 --> 00:16:17,200 Speaker 3: in this place, I want it featuring these types of characters. 351 00:16:17,200 --> 00:16:19,240 Speaker 3: I want this archetype to be the villain or it 352 00:16:19,280 --> 00:16:22,600 Speaker 3: has like dozens and not hundreds of like archetypal things 353 00:16:22,840 --> 00:16:24,880 Speaker 3: that you can like click and then the teddy bear 354 00:16:24,920 --> 00:16:27,440 Speaker 3: will will generate a new story. So it is generating 355 00:16:27,440 --> 00:16:30,280 Speaker 3: new content, but with like pre baked characters. Okay, so 356 00:16:30,320 --> 00:16:33,000 Speaker 3: then it'll sit together the story. The weirder you make 357 00:16:33,040 --> 00:16:35,240 Speaker 3: the variables, the weirder the story is going to be. Well, 358 00:16:35,280 --> 00:16:38,720 Speaker 3: let me play a clip for Robert here, Peter Nilo. 359 00:16:39,200 --> 00:16:43,240 Speaker 6: It's a bright and shiny January morning, the perfect time 360 00:16:43,400 --> 00:16:46,520 Speaker 6: for another story. Did you know that in Las Vegas, 361 00:16:46,600 --> 00:16:50,040 Speaker 6: where our story takes place, they have a gigantic Barris 362 00:16:50,160 --> 00:16:53,440 Speaker 6: feel called the high Roller. It's taller than the Statue 363 00:16:53,480 --> 00:16:54,000 Speaker 6: of Liberty. 364 00:16:54,320 --> 00:16:57,600 Speaker 2: So sol in real world events in places based on 365 00:16:57,640 --> 00:16:58,160 Speaker 2: the setting that. 366 00:16:58,240 --> 00:16:59,920 Speaker 1: Achieves what am I told you? 367 00:17:00,360 --> 00:17:02,920 Speaker 6: There's a mystery waiting to be un ground at the 368 00:17:03,040 --> 00:17:04,760 Speaker 6: consumer electronics show. 369 00:17:05,480 --> 00:17:06,720 Speaker 1: There's excitement here. 370 00:17:09,040 --> 00:17:12,840 Speaker 2: That guy like sitting there talking almost rolling his eyes 371 00:17:12,880 --> 00:17:15,080 Speaker 2: at his own product while it yaps in his lap 372 00:17:15,160 --> 00:17:18,200 Speaker 2: is a perfect like he clearly didn't think about how 373 00:17:18,240 --> 00:17:21,280 Speaker 2: that would look because it does not make an appealing 374 00:17:21,520 --> 00:17:22,600 Speaker 2: ad for the product. 375 00:17:22,800 --> 00:17:26,520 Speaker 3: No, so it doesn't sound good. So yeah, they generated 376 00:17:26,560 --> 00:17:30,240 Speaker 3: a story set in Cees in Las Vegas, and he 377 00:17:30,280 --> 00:17:32,760 Speaker 3: would occasionally interrupt the bear to like explain what it 378 00:17:32,840 --> 00:17:36,040 Speaker 3: was doing. So that was the other product, not nearly 379 00:17:36,200 --> 00:17:38,560 Speaker 3: as polished or like really really as thoughtful as like 380 00:17:38,600 --> 00:17:42,159 Speaker 3: the AI story book. But you know, maybe if you 381 00:17:42,400 --> 00:17:45,640 Speaker 3: are tired of having to, you know, talk to your kid, 382 00:17:45,720 --> 00:17:47,560 Speaker 3: you can just get one of these teddy bears to. 383 00:17:47,640 --> 00:17:49,800 Speaker 2: Yeah throw thrown front raise it. I mean, it looks 384 00:17:49,840 --> 00:17:52,280 Speaker 2: like you could probably handle all of the physical contact 385 00:17:52,280 --> 00:17:53,680 Speaker 2: they need too, so you don't even need to ever 386 00:17:53,760 --> 00:17:55,959 Speaker 2: touch your child. And in fact, you can just have 387 00:17:56,080 --> 00:17:59,520 Speaker 2: chat GPT root that through the bear and never even 388 00:17:59,640 --> 00:18:02,080 Speaker 2: see your own flesh and blood. Like I think ideally 389 00:18:02,480 --> 00:18:04,280 Speaker 2: you would have them cut out of there, you know, 390 00:18:04,320 --> 00:18:07,200 Speaker 2: really surgically remove that baby, you know, a month or 391 00:18:07,240 --> 00:18:10,200 Speaker 2: two early, and that way you can kind of absolutely 392 00:18:10,240 --> 00:18:12,480 Speaker 2: minimize the amount of time that you ever spend in 393 00:18:12,560 --> 00:18:13,679 Speaker 2: contact with your spawn. 394 00:18:14,119 --> 00:18:16,280 Speaker 3: One other thing I will add is that the ready 395 00:18:16,359 --> 00:18:19,400 Speaker 3: Land guy the AI story book, pecifically, when talking about, 396 00:18:19,400 --> 00:18:21,600 Speaker 3: you know, the importance of guardrails, he said that there's 397 00:18:21,680 --> 00:18:25,240 Speaker 3: multiple levels to safety. Right, an AI kids robot that 398 00:18:25,440 --> 00:18:27,720 Speaker 3: swears right, It's one thing that's it's pretty easy to 399 00:18:27,720 --> 00:18:29,560 Speaker 3: avoid Actually, like that's that's pretty easy. 400 00:18:29,560 --> 00:18:31,800 Speaker 2: There's a limited number of swear words, right, and. 401 00:18:31,760 --> 00:18:33,120 Speaker 3: You could just like you could just block out certain 402 00:18:33,160 --> 00:18:34,800 Speaker 3: things from happening. Yeah, you can build that in. But 403 00:18:34,880 --> 00:18:37,200 Speaker 3: another aspect that's really important to safety is like the 404 00:18:37,240 --> 00:18:40,080 Speaker 3: accuracy of the things it's saying, right, Like, what if 405 00:18:40,119 --> 00:18:42,560 Speaker 3: it's saying something that's supposed to be you know, some 406 00:18:42,680 --> 00:18:45,600 Speaker 3: like factual statement about the world that's just that just 407 00:18:45,640 --> 00:18:48,000 Speaker 3: like isn't true or can actually like lead to danger, Right, 408 00:18:48,240 --> 00:18:50,320 Speaker 3: what if it tells your kid to do something which 409 00:18:50,359 --> 00:18:52,520 Speaker 3: is actually kind of dangerous, or what if it says 410 00:18:52,560 --> 00:18:54,800 Speaker 3: like not even not even directly telling them, but you know, 411 00:18:54,840 --> 00:18:56,760 Speaker 3: it says something that if the kid then tries to 412 00:18:56,760 --> 00:18:59,200 Speaker 3: do that, it's really dangerous. And like this is why 413 00:18:59,359 --> 00:19:02,000 Speaker 3: their storybook program. You know, it does not generate new content, 414 00:19:02,160 --> 00:19:04,560 Speaker 3: So everything it says is like it's like already pre approved, 415 00:19:04,600 --> 00:19:07,000 Speaker 3: like it already is going to have you know, like 416 00:19:07,160 --> 00:19:12,840 Speaker 3: verified like verified safe you know sentences versus this ai 417 00:19:13,160 --> 00:19:15,439 Speaker 3: Teddy Bear. Because it is generating new content, you know, 418 00:19:15,520 --> 00:19:18,080 Speaker 3: it could if things go horribly wrong, you know, talk 419 00:19:18,080 --> 00:19:21,120 Speaker 3: about drinking bleach. You know, yeah, theoretically, you know, it's 420 00:19:21,240 --> 00:19:23,720 Speaker 3: just just like something you know, like things can go wrong. 421 00:19:23,960 --> 00:19:26,119 Speaker 3: So it's not just about you know, avoiding bad words 422 00:19:26,160 --> 00:19:28,520 Speaker 3: or talking about sex or you know those types of 423 00:19:28,560 --> 00:19:31,600 Speaker 3: like like inappropriate things. It's also making sure it's not 424 00:19:31,640 --> 00:19:34,440 Speaker 3: like hallucinating or saying things that could like lead to 425 00:19:34,600 --> 00:19:35,879 Speaker 3: dangerous situations. 426 00:19:36,200 --> 00:19:41,240 Speaker 2: Right, Well, the good news is that I don't think 427 00:19:41,320 --> 00:19:44,040 Speaker 2: these are going to be wildly successful products. I mean, 428 00:19:44,080 --> 00:19:48,879 Speaker 2: I guess we'll see. But these are super expensive and like, 429 00:19:49,040 --> 00:19:50,600 Speaker 2: did you get a price point for that bear? 430 00:19:50,800 --> 00:19:52,520 Speaker 3: I did not hear a price point for the bear. 431 00:19:52,680 --> 00:19:54,719 Speaker 2: I'm curious as to what they're going to be charging 432 00:19:54,760 --> 00:19:56,480 Speaker 2: for it. I mean, we'll see if any of this 433 00:19:56,520 --> 00:20:00,879 Speaker 2: stuff really does take off. I wouldn't consider optimism to 434 00:20:00,880 --> 00:20:03,399 Speaker 2: hope this stuff takes off, but like, they don't seem 435 00:20:03,480 --> 00:20:06,720 Speaker 2: like great products to me, so I guess we'll see. 436 00:20:07,200 --> 00:20:10,280 Speaker 2: I read something very interesting that is related exactly, and 437 00:20:10,320 --> 00:20:11,960 Speaker 2: it probably was he might have been talking about like 438 00:20:12,000 --> 00:20:15,160 Speaker 2: that weird bear or something. I read something very interesting 439 00:20:15,240 --> 00:20:18,240 Speaker 2: on the subject of like AI children's toys from a 440 00:20:18,280 --> 00:20:21,080 Speaker 2: guy who was like an AI developer. This was from 441 00:20:21,119 --> 00:20:24,439 Speaker 2: a post on Twitter by Alex Volkov. I got my 442 00:20:24,480 --> 00:20:26,560 Speaker 2: six year old daughter an Ai tooy for her birthday 443 00:20:26,560 --> 00:20:29,200 Speaker 2: that arrived for Christmas instead. She unpacked it all excited. 444 00:20:29,240 --> 00:20:31,639 Speaker 2: I explained that this isn't like other toys, that this 445 00:20:31,680 --> 00:20:33,560 Speaker 2: one has AI in it. She of course knows what 446 00:20:33,600 --> 00:20:35,879 Speaker 2: AI is has seeing the things I've built and interacted 447 00:20:35,920 --> 00:20:38,960 Speaker 2: with them, chatted with chat GBT and Santa Mode, knows 448 00:20:39,000 --> 00:20:42,360 Speaker 2: that Daddy is doing AI, etc. So a very interesting 449 00:20:42,400 --> 00:20:45,320 Speaker 2: experiment happened. After Magical Toys reached out and fixed the 450 00:20:45,400 --> 00:20:48,320 Speaker 2: issue reference below. She started playing with this dino, chatted 451 00:20:48,320 --> 00:20:49,760 Speaker 2: with it, and then learned to turn it off and 452 00:20:49,800 --> 00:20:52,280 Speaker 2: doesn't want it to talk anymore. She still loves playing 453 00:20:52,280 --> 00:20:54,200 Speaker 2: with it, dressed it up. It now has paper shoes 454 00:20:54,200 --> 00:20:56,040 Speaker 2: in the top hat that we made together. But every 455 00:20:56,040 --> 00:20:57,880 Speaker 2: time I asked her if she liked to chat with it, 456 00:20:58,119 --> 00:21:00,679 Speaker 2: she says no. The few times turned it back on 457 00:21:00,800 --> 00:21:02,359 Speaker 2: and she did speak with it for a bit, and 458 00:21:02,400 --> 00:21:05,240 Speaker 2: then she just turned it off again, not wanting to engage. 459 00:21:05,600 --> 00:21:07,399 Speaker 2: I gently asked why, and I wasn't really able to 460 00:21:07,480 --> 00:21:09,960 Speaker 2: understand where there's the resistance. It's not weird to her. 461 00:21:10,080 --> 00:21:12,119 Speaker 2: In fact, at one point she was pretending that Dinah 462 00:21:12,240 --> 00:21:14,320 Speaker 2: was a baby and was turned on. So I told 463 00:21:14,320 --> 00:21:16,439 Speaker 2: her let's ask it to pretend to be a baby, 464 00:21:16,440 --> 00:21:18,600 Speaker 2: and it obliged and said okay, So he asked it 465 00:21:18,640 --> 00:21:22,440 Speaker 2: to cry. Granted, they don't have an amazing advanced voice 466 00:21:22,480 --> 00:21:24,639 Speaker 2: mode like open AI, so it did its best, but 467 00:21:24,680 --> 00:21:26,879 Speaker 2: it sounded weird, which made her laugh really hard. It 468 00:21:26,920 --> 00:21:30,600 Speaker 2: was basically making crying sounds like talking. And also there 469 00:21:30,600 --> 00:21:33,159 Speaker 2: are still technical issues. The voice is sometimes choppy, so 470 00:21:33,200 --> 00:21:35,160 Speaker 2: it could be that it's still uncanny for her. I'm 471 00:21:35,160 --> 00:21:37,920 Speaker 2: honestly fascinated about why the AI aspect of this didn't 472 00:21:37,920 --> 00:21:39,280 Speaker 2: connect with my six year old. 473 00:21:39,320 --> 00:21:41,359 Speaker 4: Because it's creepy, because it's people. 474 00:21:41,760 --> 00:21:46,640 Speaker 2: They don't like it. Nobody wants this. Yeah, ick yeah, ick. 475 00:21:47,359 --> 00:21:49,199 Speaker 2: I know this is a sample size of one kid here, 476 00:21:49,240 --> 00:21:51,200 Speaker 2: and I'm sure many many things will change. I she'll 477 00:21:51,200 --> 00:21:53,880 Speaker 2: grow and learn to interact with more ais in different forms. 478 00:21:54,119 --> 00:21:57,640 Speaker 2: But the first toy contact was interestingly almost a complete failure. 479 00:21:59,080 --> 00:22:00,439 Speaker 4: That is tristing. 480 00:22:01,119 --> 00:22:03,080 Speaker 2: Yeah, I find that fucking fascinating. 481 00:22:03,440 --> 00:22:06,440 Speaker 3: Yeah, no one wants this, even six year olds. You're like, hey, 482 00:22:06,880 --> 00:22:09,240 Speaker 3: I would prefer just a regular toy I can play with. 483 00:22:09,520 --> 00:22:12,119 Speaker 2: I would prefer all pretend it's a robot. But I 484 00:22:12,160 --> 00:22:14,639 Speaker 2: don't want it to be a robot that talks to me. 485 00:22:15,600 --> 00:22:18,359 Speaker 4: Poe. The AI bear is fifty dollars on Amazon. 486 00:22:18,440 --> 00:22:21,120 Speaker 2: Oh that's not bad. Actually, no, that's good. Okay, good, 487 00:22:21,240 --> 00:22:22,600 Speaker 2: all right, Well maybe maybe we. 488 00:22:22,600 --> 00:22:25,639 Speaker 3: Can even maybe order one and see and see what 489 00:22:25,720 --> 00:22:28,600 Speaker 3: we can get out of it. Yeah, all right, we're 490 00:22:28,600 --> 00:22:31,600 Speaker 3: gonna go on another break and return to talk once 491 00:22:31,640 --> 00:22:34,440 Speaker 3: again about AI products for your children. 492 00:22:45,200 --> 00:22:46,040 Speaker 4: Okay, we're back. 493 00:22:47,240 --> 00:22:49,439 Speaker 2: So we went and saw something else today while you 494 00:22:49,760 --> 00:22:52,960 Speaker 2: were at a different chunk of the event talking to 495 00:22:53,080 --> 00:22:56,560 Speaker 2: yet another flying car company promises to revolutionize the ease 496 00:22:56,600 --> 00:22:59,280 Speaker 2: with which we can all do nine to elevens. Super 497 00:22:59,320 --> 00:23:02,440 Speaker 2: excited for that future. By the way, I stumbled upon 498 00:23:02,480 --> 00:23:06,400 Speaker 2: the booth for a company called TCL. 499 00:23:05,480 --> 00:23:07,160 Speaker 4: A pretty big company, fairly large. 500 00:23:07,000 --> 00:23:09,000 Speaker 2: Yeah, large crime and make a lot of TVs stuff 501 00:23:09,040 --> 00:23:10,760 Speaker 2: like that. They had a couple of things. They had 502 00:23:10,760 --> 00:23:12,479 Speaker 2: an AI laundry machine. 503 00:23:12,600 --> 00:23:13,919 Speaker 3: So many air laundry bots. 504 00:23:14,040 --> 00:23:16,639 Speaker 2: Yeah, this one was the worst because it's like this 505 00:23:16,760 --> 00:23:22,520 Speaker 2: little almost a soft rounded pyramid shape. It hangs your laundry. 506 00:23:22,560 --> 00:23:24,560 Speaker 2: They say they can't do folding yet, so it just 507 00:23:24,600 --> 00:23:28,359 Speaker 2: sort of like picks up dry laundry and holds it like. 508 00:23:28,240 --> 00:23:29,360 Speaker 4: It just suspends it in the air. 509 00:23:29,440 --> 00:23:31,960 Speaker 2: It suspends it in the air inside of itself. And 510 00:23:32,040 --> 00:23:34,199 Speaker 2: also it can only do a kilogram of laundry. The 511 00:23:34,240 --> 00:23:38,000 Speaker 2: only thing they had in there was like handkerchiefs and scarfs, 512 00:23:38,160 --> 00:23:41,199 Speaker 2: So it's like probably a couple of thousand dollars, but 513 00:23:41,240 --> 00:23:44,760 Speaker 2: you can AI can clean your handkerchiefs and scarfs. 514 00:23:44,440 --> 00:23:46,479 Speaker 3: As opposed to my regular washing machine. 515 00:23:46,560 --> 00:23:48,320 Speaker 2: Yeah, and they had a washing machine that it can 516 00:23:48,359 --> 00:23:51,520 Speaker 2: identify and count exactly what clothes are in it, how 517 00:23:51,520 --> 00:23:53,359 Speaker 2: many of them there are, and it'll tell you the 518 00:23:53,400 --> 00:23:56,600 Speaker 2: soil level and YadA YadA, YadA YadA. Like I'm sure 519 00:23:56,640 --> 00:23:59,840 Speaker 2: some people changing will want this shit, but it's like, yeah, 520 00:24:00,000 --> 00:24:02,840 Speaker 2: the only people who have a lot of money and 521 00:24:03,000 --> 00:24:04,840 Speaker 2: want to spend it on a laundry machine, because I 522 00:24:04,880 --> 00:24:08,000 Speaker 2: don't see that it actually reduces the amount of work 523 00:24:08,040 --> 00:24:10,679 Speaker 2: you need to do at this point. But the thing 524 00:24:10,760 --> 00:24:13,200 Speaker 2: they had at the booth that caught my eye was 525 00:24:13,240 --> 00:24:17,240 Speaker 2: a robot toy for kids. AI Space Me is the 526 00:24:17,320 --> 00:24:20,480 Speaker 2: name of the robot. Baby Yoda was a partial inspiration 527 00:24:20,560 --> 00:24:24,720 Speaker 2: because like a Ferby, Yeah Ferby, there's some porg in there. 528 00:24:24,720 --> 00:24:28,000 Speaker 2: It's a two part toy. The interior part is like 529 00:24:28,040 --> 00:24:31,919 Speaker 2: a swaddled up almost looking little porg thing with a 530 00:24:31,960 --> 00:24:35,000 Speaker 2: cute face, and the eyes are reasonably good, like they 531 00:24:35,040 --> 00:24:37,040 Speaker 2: did a decent job of the eyes not looking creepy, 532 00:24:37,680 --> 00:24:40,880 Speaker 2: but like that blink and change color and contract and expand, 533 00:24:40,920 --> 00:24:43,480 Speaker 2: and then it's got like two little flapper arms that 534 00:24:43,560 --> 00:24:46,760 Speaker 2: can like wiggle, and its seeded inside almost like the 535 00:24:46,800 --> 00:24:50,679 Speaker 2: Aliens and Independence Day. It's seated inside like this large 536 00:24:50,840 --> 00:24:54,639 Speaker 2: rolling body frame that allows it to move around on 537 00:24:54,720 --> 00:24:57,880 Speaker 2: the ground. And so it's supposed to like be your 538 00:24:58,119 --> 00:25:01,160 Speaker 2: child's friend. And the that was upsetting to me because 539 00:25:01,160 --> 00:25:03,639 Speaker 2: they had this video ad that would play every so 540 00:25:03,800 --> 00:25:06,480 Speaker 2: often and it was very creepy, and you know, I 541 00:25:06,520 --> 00:25:09,480 Speaker 2: thought back to when we were doing the interview with 542 00:25:09,520 --> 00:25:11,440 Speaker 2: the guy who had like the robot for old people. 543 00:25:11,480 --> 00:25:13,160 Speaker 2: He was like, it's very important that it not tell 544 00:25:13,240 --> 00:25:15,879 Speaker 2: them it loves them. That it like always reiterate that 545 00:25:15,920 --> 00:25:18,560 Speaker 2: it's a false thing. This robot just keeps telling the kid, 546 00:25:18,600 --> 00:25:21,200 Speaker 2: I love you, like I care for you. When the 547 00:25:21,280 --> 00:25:23,040 Speaker 2: lady did a demo, she was like, it's a toy 548 00:25:23,080 --> 00:25:25,720 Speaker 2: that actually knows and cares about your child and like, no, 549 00:25:25,800 --> 00:25:28,280 Speaker 2: it's not, No, it's not don't say that. That shouldn't 550 00:25:28,320 --> 00:25:30,199 Speaker 2: be legal for you. To say that for you to 551 00:25:30,240 --> 00:25:32,600 Speaker 2: sell this to children and tell them it's an intelligent 552 00:25:32,640 --> 00:25:35,800 Speaker 2: being that loves them is like deeply abusive in my opinion, 553 00:25:35,840 --> 00:25:39,680 Speaker 2: Like that is actually child abuse because it's not alive anyway. 554 00:25:40,160 --> 00:25:43,680 Speaker 2: So I had to bring Garrison over because you needed 555 00:25:43,720 --> 00:25:44,119 Speaker 2: to see it. 556 00:25:45,000 --> 00:25:46,120 Speaker 4: Oh and saw it, I did. 557 00:25:46,320 --> 00:25:49,520 Speaker 2: Yeah, And I'm gonna play a little clip from the ad, 558 00:25:50,560 --> 00:25:53,920 Speaker 2: so I want you to hear the way this thing sounds. 559 00:25:59,200 --> 00:26:11,800 Speaker 1: Reminds us. 560 00:26:12,560 --> 00:26:17,720 Speaker 2: Oh my god, I found that profoundly upsetting disturbing. Yeah, 561 00:26:18,119 --> 00:26:19,880 Speaker 2: your kid can like pick it up and like walk 562 00:26:19,920 --> 00:26:22,240 Speaker 2: with it. It'll like talk to them, It'll make up stories. 563 00:26:22,280 --> 00:26:25,560 Speaker 2: It'll like look at pictures your kid draws and then 564 00:26:25,640 --> 00:26:29,160 Speaker 2: generate them into like live AI videos. You can put 565 00:26:29,160 --> 00:26:31,439 Speaker 2: a pin on and it will record stuff that your 566 00:26:31,520 --> 00:26:33,240 Speaker 2: kid does and play it back to you at night 567 00:26:33,280 --> 00:26:35,960 Speaker 2: as a video. So again, absolutely minimize on the amount 568 00:26:35,960 --> 00:26:37,280 Speaker 2: of time you have to spend with your child. 569 00:26:37,520 --> 00:26:38,639 Speaker 4: It's in the car. 570 00:26:38,880 --> 00:26:42,280 Speaker 2: Yeah, it takes over your car, so that like it's 571 00:26:42,480 --> 00:26:45,360 Speaker 2: talking to you from the screens in your car, like. 572 00:26:45,320 --> 00:26:47,480 Speaker 3: The video like like taking taking this thing every like 573 00:26:47,640 --> 00:26:50,960 Speaker 3: everywhere the kid goes. It's like the kid's main interaction 574 00:26:51,080 --> 00:26:54,639 Speaker 3: with the world. Yeah, is with this little rolling like 575 00:26:54,880 --> 00:26:58,159 Speaker 3: plastic furbie and yeah, like like talking about like like 576 00:26:58,240 --> 00:27:01,320 Speaker 3: expressing like love and like how damaging this must be 577 00:27:01,359 --> 00:27:03,000 Speaker 3: for like a four year old to have. Like the 578 00:27:03,000 --> 00:27:06,200 Speaker 3: first thing that it constantly expressed like love and affection 579 00:27:06,320 --> 00:27:09,080 Speaker 3: for is this little rolling robot that's that you're gonna 580 00:27:09,080 --> 00:27:11,000 Speaker 3: throw in the garbage in like you know, four years 581 00:27:11,240 --> 00:27:13,200 Speaker 3: when you're when you're like too old for it. How 582 00:27:13,280 --> 00:27:16,480 Speaker 3: like traumatizing and like deeply fucked up. That's gonna be 583 00:27:16,520 --> 00:27:19,080 Speaker 3: for your for like your sense of self and like 584 00:27:19,160 --> 00:27:20,400 Speaker 3: love and affection. 585 00:27:20,920 --> 00:27:23,119 Speaker 2: The mix of things that we're trying to have this do. 586 00:27:23,440 --> 00:27:25,679 Speaker 2: Like the other ones were build as toys, this was 587 00:27:25,680 --> 00:27:28,240 Speaker 2: built as like a friend for your child. 588 00:27:28,560 --> 00:27:29,800 Speaker 4: As well as like a home assistance. 589 00:27:29,880 --> 00:27:32,359 Speaker 2: Yeah, it's supposed to also act as like it'll change 590 00:27:32,400 --> 00:27:34,040 Speaker 2: that you can hook it into your smart home so 591 00:27:34,080 --> 00:27:36,680 Speaker 2: it can change the temperature. Like they did a little 592 00:27:36,720 --> 00:27:39,359 Speaker 2: in person demo where like a woman pretending to be 593 00:27:39,359 --> 00:27:41,800 Speaker 2: a mom talked with it about like planning planned a 594 00:27:41,800 --> 00:27:44,199 Speaker 2: birthday party for her kid with it, Yeah, and it 595 00:27:44,320 --> 00:27:47,000 Speaker 2: like put food in her Amazon cart and like change 596 00:27:47,040 --> 00:27:50,240 Speaker 2: the temperature inside because more people were coming over. One 597 00:27:50,240 --> 00:27:52,760 Speaker 2: of the things they advertise is is security mode, where 598 00:27:52,760 --> 00:27:54,880 Speaker 2: it like travels around your house at night and acts 599 00:27:54,920 --> 00:27:59,680 Speaker 2: as a sentry watching your home like wild stuff. 600 00:28:00,280 --> 00:28:03,159 Speaker 3: No, it's it was Honestly, I've seen a few like 601 00:28:03,160 --> 00:28:05,600 Speaker 3: disturbing things, you know, all of like the the new 602 00:28:05,680 --> 00:28:08,239 Speaker 3: drone tech to have like solar powered drones that can 603 00:28:08,280 --> 00:28:10,119 Speaker 3: stay in the air to drop bombs is like bad, 604 00:28:10,359 --> 00:28:14,119 Speaker 3: But like this type of stuff is like really dehumani. Yeah, 605 00:28:14,320 --> 00:28:16,199 Speaker 3: it really like viscerally upsets me. 606 00:28:17,480 --> 00:28:21,879 Speaker 2: Yeah, and I think probably very bad for children. Everything 607 00:28:21,880 --> 00:28:25,600 Speaker 2: they showed us was incredibly curated, Like I when we 608 00:28:25,640 --> 00:28:27,720 Speaker 2: watched this live thing where she was having a very 609 00:28:27,760 --> 00:28:31,719 Speaker 2: fluid conversation with it that was clearly scripted. Yes, and 610 00:28:32,040 --> 00:28:35,400 Speaker 2: so I wonder how well this thing actually works in practice. 611 00:28:35,560 --> 00:28:37,880 Speaker 3: We never got an actual like live down. 612 00:28:37,880 --> 00:28:40,320 Speaker 2: No, because they always show it perfectly recognizing the kid, 613 00:28:40,400 --> 00:28:43,040 Speaker 2: perfectly recognizing like what's in their you know, little kid 614 00:28:43,120 --> 00:28:46,520 Speaker 2: drawings and stuff. What it's supposed to be to make beautiful, 615 00:28:47,160 --> 00:28:50,760 Speaker 2: creepily shiny AI moving versions and stuff. So like, I 616 00:28:50,800 --> 00:28:53,920 Speaker 2: wonder how much less good it's going to be in 617 00:28:53,960 --> 00:28:56,000 Speaker 2: reality than the thing that they've showed us. But it's 618 00:28:56,040 --> 00:28:59,720 Speaker 2: definitely some amount shittier than what they've displayed already. And 619 00:29:00,080 --> 00:29:01,320 Speaker 2: part of why I think that is, like we went 620 00:29:01,400 --> 00:29:03,520 Speaker 2: to check out the booth that this other the South 621 00:29:03,560 --> 00:29:06,520 Speaker 2: Korean company just called I think sk had like a 622 00:29:06,600 --> 00:29:09,760 Speaker 2: they called it a quantum security camera that was AI enabled, 623 00:29:09,920 --> 00:29:12,160 Speaker 2: And then thinking about how like in the ads, it 624 00:29:12,200 --> 00:29:14,680 Speaker 2: always like recognized the kid and its parents and are 625 00:29:14,720 --> 00:29:17,360 Speaker 2: drawing accurately. Well, this one when I flipped off the 626 00:29:17,400 --> 00:29:20,160 Speaker 2: camera with both middle fingers, recognized it and wrote up 627 00:29:20,160 --> 00:29:22,680 Speaker 2: a description of a man giving the camera a thumbs up. 628 00:29:23,160 --> 00:29:25,200 Speaker 2: Like I'm really curious for when these things hit the 629 00:29:25,280 --> 00:29:28,480 Speaker 2: market and people start buying them, like what sort of 630 00:29:28,480 --> 00:29:31,120 Speaker 2: fucked up stuff it'll do, and how kind of big 631 00:29:31,160 --> 00:29:34,000 Speaker 2: the seams are. I don't expect a long life for 632 00:29:34,080 --> 00:29:36,640 Speaker 2: this thing, which is going to be funnier because like 633 00:29:37,080 --> 00:29:39,760 Speaker 2: there was already a big eight hundred dollars like Children's 634 00:29:39,800 --> 00:29:43,680 Speaker 2: Companion AI toy that failed last year and the company 635 00:29:43,800 --> 00:29:46,479 Speaker 2: shut off access to them, and like so parents had 636 00:29:46,520 --> 00:29:49,080 Speaker 2: to explain to their kids who had bonded with this 637 00:29:49,160 --> 00:29:52,320 Speaker 2: thing that it was dying forever. And that's especially excited 638 00:29:52,320 --> 00:29:54,760 Speaker 2: to because they they've built a robot that talks to 639 00:29:54,800 --> 00:29:57,240 Speaker 2: your kid and tells it it loves them, and eventually 640 00:29:57,280 --> 00:29:59,440 Speaker 2: that robot is going to be taken away from the 641 00:29:59,560 --> 00:30:02,800 Speaker 2: child by the company when it no longer becomes profitable. 642 00:30:02,840 --> 00:30:05,880 Speaker 2: And that's I'm excited for that, like new ground and 643 00:30:05,920 --> 00:30:10,360 Speaker 2: how to fuck up kids. Anyway, that's what I got, Garrison. 644 00:30:09,960 --> 00:30:13,400 Speaker 3: What an uplifting ces adventures again? 645 00:30:13,520 --> 00:30:13,760 Speaker 4: Yeah? 646 00:30:13,960 --> 00:30:17,680 Speaker 2: No, that's all Yeah, it's all great. All right, everybody, Well, 647 00:30:17,720 --> 00:30:20,320 Speaker 2: this has been behind the bastards. No it's not, or 648 00:30:20,480 --> 00:30:22,560 Speaker 2: no it's not. What is this? This has been? It 649 00:30:22,600 --> 00:30:25,600 Speaker 2: could happen here? A podcast by somebody who is slowly 650 00:30:25,720 --> 00:30:26,640 Speaker 2: going insane. 651 00:30:26,800 --> 00:30:29,440 Speaker 3: Yeah, because we're like four days in Vegas now we 652 00:30:29,520 --> 00:30:30,640 Speaker 3: still have one more days. 653 00:30:30,720 --> 00:30:32,880 Speaker 2: I'm out of my mind. I'm completely broken. 654 00:30:33,520 --> 00:30:36,920 Speaker 3: Uh, hopefully tomorrow we'll have our final of our like 655 00:30:37,000 --> 00:30:40,440 Speaker 3: on the ground coverage with our with our cees bestined show. Yeah, 656 00:30:40,520 --> 00:30:42,640 Speaker 3: so ed always going to be maybe. 657 00:30:42,240 --> 00:30:44,480 Speaker 4: A high note. So see you there. 658 00:30:47,480 --> 00:30:49,960 Speaker 2: It could happen here is a production of cool Zone Media. 659 00:30:50,160 --> 00:30:53,240 Speaker 3: For more podcasts from cool Zone Media, visit our website 660 00:30:53,320 --> 00:30:55,880 Speaker 3: cool Zonemedia dot com, or check us out on the 661 00:30:55,880 --> 00:30:59,840 Speaker 3: iHeartRadio app, Apple Podcasts, or wherever you listen to podcasts. 662 00:31:00,360 --> 00:31:02,520 Speaker 3: Can now find sources for it could happen here, listed 663 00:31:02,520 --> 00:31:05,200 Speaker 3: directly in episode descriptions. Thanks for listening.