1 00:00:15,600 --> 00:00:18,840 Speaker 1: Welcome to Tech Stuff. I'm Cara Price. This is the story. 2 00:00:19,880 --> 00:00:22,840 Speaker 2: As I've mentioned many many, many, many, many many many 3 00:00:22,880 --> 00:00:27,200 Speaker 2: times on this show, I am extremely online, and that 4 00:00:27,360 --> 00:00:31,440 Speaker 2: means that I am exposed to a lot of things 5 00:00:31,480 --> 00:00:35,279 Speaker 2: that I find interesting, but I don't really understand because 6 00:00:35,320 --> 00:00:39,479 Speaker 2: these trends change really quickly, and the people propelling culture 7 00:00:39,520 --> 00:00:44,760 Speaker 2: forward are arguably a little bit younger than me. They're 8 00:00:44,800 --> 00:00:48,279 Speaker 2: gen Z and Jen Alpha. I need some help. So 9 00:00:48,400 --> 00:00:51,319 Speaker 2: our guest today is what I guess we would call 10 00:00:51,360 --> 00:00:54,160 Speaker 2: a trend analyst and a youth whisperer. Her name is 11 00:00:54,200 --> 00:00:57,120 Speaker 2: Casey Lewis, and she writes a substact that I've read 12 00:00:57,160 --> 00:00:57,640 Speaker 2: for as. 13 00:00:57,520 --> 00:00:58,760 Speaker 1: Long as it's been in existence. 14 00:00:58,800 --> 00:01:00,760 Speaker 2: It's actually like the only one that I read with 15 00:01:00,840 --> 00:01:01,880 Speaker 2: any regular cadence. 16 00:01:02,080 --> 00:01:03,280 Speaker 1: It's called After School. 17 00:01:03,880 --> 00:01:07,520 Speaker 2: And I rarely do this, but if you're listening right now, 18 00:01:07,560 --> 00:01:10,360 Speaker 2: you should subscribe to it if you care about youth 19 00:01:10,400 --> 00:01:13,840 Speaker 2: culture or the Internet at all. Every installment of After 20 00:01:13,880 --> 00:01:18,560 Speaker 2: School is this curated grab bag of current trends, cultural moments, 21 00:01:18,560 --> 00:01:21,600 Speaker 2: and analysis. So as we look ahead to what twenty 22 00:01:21,640 --> 00:01:23,399 Speaker 2: twenty six has in store, I thought it would be 23 00:01:23,480 --> 00:01:27,600 Speaker 2: helpful to reflect on the ethos of youth culture at 24 00:01:27,600 --> 00:01:31,360 Speaker 2: this very very weird moment. Casey and I started our 25 00:01:31,360 --> 00:01:35,200 Speaker 2: conversation with a trend that overtook many Instagram feeds this 26 00:01:35,240 --> 00:01:39,560 Speaker 2: past weekend that unfortunately, even parents were doing young parents 27 00:01:39,600 --> 00:01:43,440 Speaker 2: and old parents, which was posting pictures of yourself back 28 00:01:43,480 --> 00:01:47,760 Speaker 2: in twenty sixteen. And while this felt incredibly random, Casey 29 00:01:47,840 --> 00:01:50,160 Speaker 2: told me that it actually didn't come out of nowhere. 30 00:01:50,520 --> 00:01:51,280 Speaker 1: Here's Casey. 31 00:01:51,600 --> 00:01:55,680 Speaker 3: It's been fascinating because months ago, maybe not nine months ago, 32 00:01:56,120 --> 00:01:59,720 Speaker 3: it was all about millennial cringe, the stomp clap hay 33 00:02:00,320 --> 00:02:03,680 Speaker 3: music coming back. So it went from millennial cringe to 34 00:02:04,160 --> 00:02:07,040 Speaker 3: just the end of the year, the millennial cringe had 35 00:02:07,760 --> 00:02:12,079 Speaker 3: morphed into a millennial optimism, young people obsessed with, you know, 36 00:02:12,160 --> 00:02:14,760 Speaker 3: the sort of twenty tens of New York I want 37 00:02:14,800 --> 00:02:15,359 Speaker 3: to be a hipster. 38 00:02:15,680 --> 00:02:17,720 Speaker 4: But now the twenty sixteen thing. 39 00:02:18,000 --> 00:02:22,040 Speaker 3: Has built on all of that, and it's it's crazy 40 00:02:22,160 --> 00:02:23,520 Speaker 3: having twenty sixteen. 41 00:02:23,680 --> 00:02:26,040 Speaker 4: You two, like, do you think it was a special year? 42 00:02:26,280 --> 00:02:31,600 Speaker 2: No, I mean other than like the first worst news 43 00:02:31,639 --> 00:02:33,480 Speaker 2: cycle that ever existed. 44 00:02:33,360 --> 00:02:37,440 Speaker 3: Exactly, it was a weird time in culture. The Cut 45 00:02:37,480 --> 00:02:40,440 Speaker 3: published this piece that was like, you know, we do 46 00:02:40,520 --> 00:02:42,720 Speaker 3: not want to live through this again, and they mentioned 47 00:02:42,720 --> 00:02:45,320 Speaker 3: things that happened in twenty sixteen that I'd completely forgotten, 48 00:02:45,560 --> 00:02:51,040 Speaker 3: you know, happened then the Pulse nightclub massacre, Brexit, there 49 00:02:51,040 --> 00:02:54,440 Speaker 3: were like multiple horrible police killings. 50 00:02:54,720 --> 00:02:55,480 Speaker 4: Politically, it was. 51 00:02:55,600 --> 00:03:00,080 Speaker 3: A horrible time, but most of the you know, the 52 00:03:00,120 --> 00:03:03,040 Speaker 3: trends around it are just an excuse I think to 53 00:03:03,160 --> 00:03:06,680 Speaker 3: dig back in your photos and show how like cutesy 54 00:03:06,760 --> 00:03:11,400 Speaker 3: you looked. People are romanticizing the flower crowns at Coachella, 55 00:03:11,720 --> 00:03:17,280 Speaker 3: the chokers, the snapchat filters. I think that young people 56 00:03:17,400 --> 00:03:23,280 Speaker 3: associate twenty sixteen with peak whimsy aesthetically, even though having 57 00:03:23,320 --> 00:03:27,040 Speaker 3: lived the twenty sixteen it did not feel particularly whimsical. 58 00:03:27,240 --> 00:03:34,000 Speaker 2: It was the antithesis of whimsy. So what got me 59 00:03:34,240 --> 00:03:38,200 Speaker 2: interested in talking to you for this particular interview was 60 00:03:38,240 --> 00:03:40,960 Speaker 2: your end of the year review, which was titled Nostalgia, 61 00:03:41,000 --> 00:03:45,000 Speaker 2: Economy and Analog Awakening. You sent out two hundred and 62 00:03:45,040 --> 00:03:49,200 Speaker 2: sixty newsletters in twenty twenty five. What was the cultural 63 00:03:49,320 --> 00:03:53,320 Speaker 2: shift that you felt was most overlooked and what was 64 00:03:53,440 --> 00:03:56,080 Speaker 2: the kind of thing that surprised you the most. 65 00:03:56,800 --> 00:04:01,000 Speaker 3: I don't think the analog trend is overlooked by any means, 66 00:04:01,120 --> 00:04:05,560 Speaker 3: but I think it's hard to over emphasize, like how 67 00:04:05,600 --> 00:04:10,000 Speaker 3: big of a thing this tension between analog and AI is, 68 00:04:10,600 --> 00:04:14,040 Speaker 3: especially for young people. It feels like every single day 69 00:04:14,520 --> 00:04:18,360 Speaker 3: there's headlines around, you know, young people have discovered these 70 00:04:18,400 --> 00:04:22,719 Speaker 3: old school hobbies. I've seen multiple headlines this week around 71 00:04:22,920 --> 00:04:27,479 Speaker 3: like Grandma core and at the same time the rise 72 00:04:27,520 --> 00:04:31,560 Speaker 3: of AI, especially in more like tech adjacent corners of 73 00:04:31,600 --> 00:04:35,560 Speaker 3: the Internet. I mean, it's totally taken over the conversation 74 00:04:35,720 --> 00:04:38,400 Speaker 3: in the last year. So I think that the tension 75 00:04:38,440 --> 00:04:40,880 Speaker 3: between these two stories is very interesting to me. 76 00:04:42,120 --> 00:04:45,240 Speaker 2: There is like an interesting juxtaposition because it feels like 77 00:04:47,160 --> 00:04:50,280 Speaker 2: the AI headlines things coming out of cees are like 78 00:04:51,120 --> 00:04:55,880 Speaker 2: industry checkpoints, whereas you're really reporting on things that people 79 00:04:55,920 --> 00:04:59,400 Speaker 2: are doing. And I think that what's more interesting to 80 00:04:59,480 --> 00:05:03,680 Speaker 2: me is like what are people doing to combat the 81 00:05:03,720 --> 00:05:07,600 Speaker 2: fatigue of like an influx of like this is how 82 00:05:07,640 --> 00:05:09,160 Speaker 2: you should be using your phone, this is how you 83 00:05:09,160 --> 00:05:12,080 Speaker 2: should be using your computer. And to me, based on 84 00:05:12,120 --> 00:05:14,080 Speaker 2: what you report, it seems like people are like, I 85 00:05:14,080 --> 00:05:15,520 Speaker 2: don't want to do any of this stuff. 86 00:05:15,800 --> 00:05:18,320 Speaker 3: Yeah, young people in particular, it seems like they're pushing 87 00:05:18,360 --> 00:05:22,680 Speaker 3: back against this. Even with my end of year Christmas 88 00:05:22,720 --> 00:05:27,280 Speaker 3: Hall analysis, a lot of people got iPads specifically to 89 00:05:28,480 --> 00:05:32,040 Speaker 3: many of them didn't have any social media on their iPads. 90 00:05:32,160 --> 00:05:35,120 Speaker 3: They just had it for games and Pinterest. So this 91 00:05:35,240 --> 00:05:38,560 Speaker 3: is like, it's like an interesting tech I know, it's 92 00:05:38,640 --> 00:05:43,680 Speaker 3: like almost like catalog behavior or magazine. But you know, 93 00:05:44,320 --> 00:05:47,320 Speaker 3: as adults who have been in the workplace for a while, 94 00:05:47,400 --> 00:05:51,279 Speaker 3: I think we're seeing this narrative around using AI to optimize, 95 00:05:51,400 --> 00:05:55,919 Speaker 3: to you know, just be the best like corporate machine 96 00:05:55,920 --> 00:05:58,640 Speaker 3: that we can possibly be. And then young people a 97 00:05:58,640 --> 00:06:01,680 Speaker 3: aren't exposed to those headlines and when they are exposed 98 00:06:01,680 --> 00:06:03,640 Speaker 3: to them or trying to push back against them, but 99 00:06:03,680 --> 00:06:07,080 Speaker 3: they are using AI for homework, yes, exactly. 100 00:06:07,880 --> 00:06:10,760 Speaker 2: So I've noticed that some brands have taken to the 101 00:06:10,800 --> 00:06:14,440 Speaker 2: analog awakening. And I've thought for a long time that 102 00:06:14,600 --> 00:06:17,680 Speaker 2: unplugging or taking time away from your phone would become 103 00:06:17,720 --> 00:06:20,720 Speaker 2: the ultimate luxury. But is gen z buying into this? 104 00:06:20,800 --> 00:06:22,159 Speaker 2: And how about gen Alpha? 105 00:06:22,960 --> 00:06:27,200 Speaker 3: So gen Alpha is interesting because in my research, a 106 00:06:27,240 --> 00:06:32,080 Speaker 3: lot of these kids have very limited tech access, and 107 00:06:32,560 --> 00:06:34,919 Speaker 3: in interviews I've done with you know, different kids, some 108 00:06:35,080 --> 00:06:37,839 Speaker 3: of them you know, maybe only have an hour a 109 00:06:37,960 --> 00:06:41,440 Speaker 3: day and they spend that watching YouTube videos or YouTube shorts. 110 00:06:41,800 --> 00:06:44,720 Speaker 3: Others have you know, kind of as much screen time 111 00:06:44,720 --> 00:06:46,880 Speaker 3: as they want, but they can't be on TikTok. Very 112 00:06:46,880 --> 00:06:48,960 Speaker 3: few of the Gen Alphas I've talked to, and I've 113 00:06:48,960 --> 00:06:51,839 Speaker 3: probably talked to fifty in the last year, very few 114 00:06:51,880 --> 00:06:54,760 Speaker 3: of them are allowed on TikTok, but they still are 115 00:06:54,839 --> 00:06:58,280 Speaker 3: able to consume that kind of content via reels or 116 00:06:58,520 --> 00:07:03,160 Speaker 3: other platforms. I think that Gen Alpha is generally too 117 00:07:03,279 --> 00:07:09,080 Speaker 3: young to really have a sense of being unplugged equals 118 00:07:09,520 --> 00:07:13,440 Speaker 3: luxury or you know, freedom, because they've grown up in 119 00:07:13,720 --> 00:07:16,960 Speaker 3: a time of you know, being in front of screens, 120 00:07:17,000 --> 00:07:19,960 Speaker 3: but also their parents moderating the screens one way or 121 00:07:20,000 --> 00:07:22,480 Speaker 3: the other. So it'll be fascinating to see as they're 122 00:07:22,520 --> 00:07:25,360 Speaker 3: able to make decisions for themselves. 123 00:07:25,760 --> 00:07:27,080 Speaker 4: Another thing is the phone bands. 124 00:07:27,160 --> 00:07:29,120 Speaker 3: You know, so many schools in the last year have 125 00:07:29,280 --> 00:07:32,920 Speaker 3: band phones pretty widely, and so their screen time has 126 00:07:33,080 --> 00:07:36,200 Speaker 3: always been so you know, they're sort of like babysat 127 00:07:36,480 --> 00:07:40,040 Speaker 3: So will they think that being able to be unplugged 128 00:07:40,080 --> 00:07:43,640 Speaker 3: equals luxury Not at first, I don't think, But for 129 00:07:43,920 --> 00:07:47,680 Speaker 3: Gen Z and also millennials, the twenty twenty six ins 130 00:07:47,720 --> 00:07:50,520 Speaker 3: and outs tiktoks that I watched being offline was a 131 00:07:50,600 --> 00:07:53,600 Speaker 3: huge in brain rot, a huge out all of these 132 00:07:53,640 --> 00:07:57,480 Speaker 3: words around, like being super online and you know, knowing 133 00:07:57,600 --> 00:07:59,560 Speaker 3: these sort of like week to week, day to day 134 00:07:59,600 --> 00:08:03,840 Speaker 3: trends isn't cool anymore. It's much better, according to the 135 00:08:03,840 --> 00:08:06,440 Speaker 3: ins and outs, to be unplugged, to read books, to 136 00:08:06,840 --> 00:08:08,920 Speaker 3: limit your screen time in the morning. Like they were 137 00:08:09,040 --> 00:08:12,400 Speaker 3: imposing all of these rules around screen time, which you know, 138 00:08:12,440 --> 00:08:15,400 Speaker 3: it's fascinating because I think at the end of the day, 139 00:08:15,920 --> 00:08:19,960 Speaker 3: having an awareness of what's happening online and being ahead 140 00:08:20,120 --> 00:08:23,680 Speaker 3: of the trend cycle is never not going to be 141 00:08:23,920 --> 00:08:29,080 Speaker 3: a flex but they do want to be nice to 142 00:08:29,120 --> 00:08:32,720 Speaker 3: their brains a little bit and limit the doom scrolling. 143 00:08:34,520 --> 00:08:38,760 Speaker 2: What do you know about school phone bands? Like how 144 00:08:38,840 --> 00:08:40,120 Speaker 2: has this affected. 145 00:08:39,679 --> 00:08:44,200 Speaker 3: Things across the country. So many public schools have banned phones. 146 00:08:44,320 --> 00:08:46,439 Speaker 3: Private schools are a little more you know, they kind 147 00:08:46,480 --> 00:08:50,840 Speaker 3: of create the rules and yeah, but there were so 148 00:08:51,040 --> 00:08:55,160 Speaker 3: many articles around like, you know, kids are socializing again, 149 00:08:55,440 --> 00:08:58,480 Speaker 3: the lunch room is loud again, and a lot of 150 00:08:58,559 --> 00:09:03,040 Speaker 3: these articles interviewed both teachers and students, and it seems 151 00:09:03,080 --> 00:09:06,280 Speaker 3: like it's very much net positive. Of course, some kids 152 00:09:06,280 --> 00:09:08,760 Speaker 3: are figuring out how to get around it. But if 153 00:09:08,800 --> 00:09:10,520 Speaker 3: everyone is sort of like not supposed to be on 154 00:09:10,559 --> 00:09:13,040 Speaker 3: their phone. Then being the one kid that gets arounded 155 00:09:13,040 --> 00:09:15,240 Speaker 3: by like having an extra device in your pocket, like 156 00:09:15,280 --> 00:09:17,040 Speaker 3: who are you going to talk to? Like, you know, 157 00:09:17,080 --> 00:09:19,760 Speaker 3: there's there's really no reason to do that if everyone 158 00:09:19,760 --> 00:09:22,360 Speaker 3: else doesn't have their phone. So I do think that 159 00:09:22,720 --> 00:09:26,120 Speaker 3: it is good for education, but I think that that 160 00:09:26,520 --> 00:09:29,600 Speaker 3: being limited during the day to check what's happening just 161 00:09:29,760 --> 00:09:32,720 Speaker 3: will make people sort of binge a bit more before 162 00:09:32,720 --> 00:09:36,440 Speaker 3: and after. But I do like the you know, the 163 00:09:36,520 --> 00:09:39,800 Speaker 3: discovery of analog at the lunch room. I will say 164 00:09:40,240 --> 00:09:44,440 Speaker 3: earlier this week, Peugh published a study around phone band 165 00:09:44,480 --> 00:09:48,440 Speaker 3: sentiment and they talk to adults and teens and something 166 00:09:48,559 --> 00:09:52,320 Speaker 3: like half of the teens were okay with like phone bands, 167 00:09:52,440 --> 00:09:54,560 Speaker 3: but they did not believe that it should be banned 168 00:09:54,840 --> 00:09:56,880 Speaker 3: during free periods in lunch room. 169 00:09:57,120 --> 00:09:58,520 Speaker 4: So there is pushback like. 170 00:09:58,480 --> 00:09:59,360 Speaker 1: This, what are we gonna do? 171 00:09:59,800 --> 00:10:03,160 Speaker 3: Yeah, yeah, exactly. It's not like kids are generally like 172 00:10:03,480 --> 00:10:06,480 Speaker 3: phone ban good. You know, like you're never going to 173 00:10:06,559 --> 00:10:09,040 Speaker 3: want to be limited to things like that, Like you 174 00:10:09,040 --> 00:10:10,319 Speaker 3: don't want to be patrolled. 175 00:10:10,840 --> 00:10:12,920 Speaker 1: Yeah, I wouldn't want to be patrolled either. 176 00:10:13,600 --> 00:10:16,760 Speaker 2: As a complete pivot, you mentioned the decline of the 177 00:10:16,880 --> 00:10:17,600 Speaker 2: dating app. 178 00:10:18,120 --> 00:10:19,040 Speaker 1: Can you fill me. 179 00:10:19,040 --> 00:10:21,800 Speaker 2: In on what sex and romance looks like for gen 180 00:10:21,880 --> 00:10:24,480 Speaker 2: z because they're certainly, I mean they're certainly reading a 181 00:10:24,520 --> 00:10:25,280 Speaker 2: lot of romance. 182 00:10:25,880 --> 00:10:29,240 Speaker 3: Yeah, yeah, And you know they're reading a lot of romance, 183 00:10:29,280 --> 00:10:31,000 Speaker 3: and I think some of them are coming into their 184 00:10:31,080 --> 00:10:34,400 Speaker 3: own sexually from the romance to see. You know, they're 185 00:10:34,440 --> 00:10:37,760 Speaker 3: realizing what they want and they're realizing like how to 186 00:10:37,840 --> 00:10:40,000 Speaker 3: kind of put it into words. So I, you know, 187 00:10:40,240 --> 00:10:42,640 Speaker 3: haven't consumed a lot of romance to see myself, But 188 00:10:43,440 --> 00:10:46,320 Speaker 3: I do think it's net positive in many reasons. You know, 189 00:10:46,760 --> 00:10:49,680 Speaker 3: people are reading more, but people are also realizing what, 190 00:10:50,720 --> 00:10:53,880 Speaker 3: especially like women's passion can look like. 191 00:10:55,120 --> 00:10:57,559 Speaker 4: I this last. 192 00:10:57,360 --> 00:11:01,760 Speaker 3: Year, maybe last two years, in terms of gender and 193 00:11:01,880 --> 00:11:05,360 Speaker 3: sex and dating, it's been so complicated, I think, and 194 00:11:05,480 --> 00:11:08,360 Speaker 3: made me just so grateful that I'm a millennial and 195 00:11:08,400 --> 00:11:11,080 Speaker 3: not like in it because I believe I was on 196 00:11:11,160 --> 00:11:15,600 Speaker 3: dating apps. Twenty sixteen a really good time for dating apps, yes, 197 00:11:15,760 --> 00:11:18,040 Speaker 3: peak and years around it, yeah. 198 00:11:17,920 --> 00:11:18,840 Speaker 4: Peak dating app. 199 00:11:18,920 --> 00:11:20,880 Speaker 3: Like one thing you can say about twenty sixteen is 200 00:11:20,880 --> 00:11:24,200 Speaker 3: that Hinder was great, But I think that dating apps 201 00:11:24,200 --> 00:11:27,920 Speaker 3: haven't evolved, and so young people feel as though they're 202 00:11:28,040 --> 00:11:32,000 Speaker 3: just endlessly swiping to no end, and then when they 203 00:11:32,080 --> 00:11:34,360 Speaker 3: are going on a date with someone that they meet 204 00:11:34,400 --> 00:11:36,920 Speaker 3: on a dating app, it's not a good match, and 205 00:11:37,040 --> 00:11:39,600 Speaker 3: so they feel like they've wasted their time. It feels 206 00:11:39,640 --> 00:11:43,400 Speaker 3: like part of that is the apps have to monetize, 207 00:11:43,600 --> 00:11:47,040 Speaker 3: and so the experience is worse. But in the last 208 00:11:47,120 --> 00:11:50,199 Speaker 3: year two years, there have been a million headlines around 209 00:11:50,320 --> 00:11:52,880 Speaker 3: all of the other ways young people are meeting in person. 210 00:11:53,040 --> 00:11:57,439 Speaker 3: So obviously the cliched run club, but there's a million 211 00:11:57,480 --> 00:12:05,679 Speaker 3: other speed dating, having a matchmaker, having your friends do creative. 212 00:12:05,280 --> 00:12:06,520 Speaker 4: Google doc for you. 213 00:12:06,520 --> 00:12:09,120 Speaker 3: You know, there's just so many different ways that people 214 00:12:09,200 --> 00:12:12,119 Speaker 3: are trying to meet that aren't. 215 00:12:11,840 --> 00:12:12,560 Speaker 4: The dating apps. 216 00:12:12,920 --> 00:12:15,080 Speaker 3: I think we'll see a dating app comeback. I think 217 00:12:15,080 --> 00:12:16,839 Speaker 3: that that isn't really inevitable. 218 00:12:17,240 --> 00:12:17,920 Speaker 4: I do think so. 219 00:12:18,080 --> 00:12:21,240 Speaker 3: I think that the dating apps will realize they're ruining 220 00:12:21,280 --> 00:12:25,320 Speaker 3: the experience by monetization, and maybe the largest ones won't. 221 00:12:25,440 --> 00:12:27,720 Speaker 3: You know, they have to answer to shareholders, the ones 222 00:12:27,760 --> 00:12:31,120 Speaker 3: that are public, But that gives a great opportunity for 223 00:12:31,800 --> 00:12:35,880 Speaker 3: challengers to enter the space and make an actually good experience. 224 00:12:36,160 --> 00:12:38,359 Speaker 3: But at the same time, I think what happened politically 225 00:12:38,720 --> 00:12:42,319 Speaker 3: the election last year just created so much beyond the 226 00:12:42,400 --> 00:12:44,960 Speaker 3: dating apps, beyond the it's hard to meet people. It 227 00:12:45,000 --> 00:12:48,480 Speaker 3: created so much friction between men and women, and you know, 228 00:12:48,520 --> 00:12:51,679 Speaker 3: I felt like you couldn't trust men who didn't feel 229 00:12:51,679 --> 00:12:53,680 Speaker 3: like my husband's great but I was so angry at 230 00:12:53,760 --> 00:12:55,600 Speaker 3: men for you know, And so I think that does 231 00:12:55,679 --> 00:12:59,360 Speaker 3: add like some complications to the gender dynamic for people 232 00:12:59,400 --> 00:13:02,640 Speaker 3: who are seeking out ooh identify a straight and are 233 00:13:02,679 --> 00:13:05,480 Speaker 3: seeking out an opposis ex partner. 234 00:13:22,559 --> 00:13:28,360 Speaker 2: After the break out dating apps in AI Lovers stay 235 00:13:28,360 --> 00:13:56,800 Speaker 2: with Us. You actually mentioned that gen Z are eighty 236 00:13:56,880 --> 00:14:00,640 Speaker 2: three percent more open to developing relationships with AI chatbots. 237 00:14:00,800 --> 00:14:03,680 Speaker 1: Is that a trend that you see continuing? 238 00:14:03,760 --> 00:14:08,640 Speaker 2: Like, because as we talk about sort of nostalgic core analog, 239 00:14:09,400 --> 00:14:13,679 Speaker 2: where does the relationship with a chatbot really fit into things? 240 00:14:14,000 --> 00:14:14,520 Speaker 1: For gen Z? 241 00:14:15,080 --> 00:14:18,520 Speaker 3: One sort of asterisk with that stat. It was cited 242 00:14:18,559 --> 00:14:22,200 Speaker 3: in a New Yorker piece, But it is a survey 243 00:14:22,400 --> 00:14:25,640 Speaker 3: that has been commissioned by a some sort of like 244 00:14:25,720 --> 00:14:28,600 Speaker 3: AI company, and so it's always hard to know with those. 245 00:14:28,680 --> 00:14:33,280 Speaker 3: I mean, I still find it interesting and like worth considering, 246 00:14:33,680 --> 00:14:36,600 Speaker 3: but at the same time, it's it gives me pause 247 00:14:36,760 --> 00:14:39,760 Speaker 3: often and that one especially, But I do. 248 00:14:39,600 --> 00:14:40,200 Speaker 4: Think you know. 249 00:14:40,440 --> 00:14:43,560 Speaker 3: The cut wrote a piece about AI as my boyfriend. 250 00:14:43,680 --> 00:14:46,800 Speaker 3: I think is the reddit the subreddit that has seventy 251 00:14:46,800 --> 00:14:50,040 Speaker 3: five thousand members, like people like, even if we don't 252 00:14:50,120 --> 00:14:54,680 Speaker 3: have any friends who are in relationships, they HI or. 253 00:14:54,960 --> 00:14:58,480 Speaker 2: I have friends that are in pretty serious like parasocial 254 00:14:58,520 --> 00:15:00,440 Speaker 2: relationships with chat thoughts. 255 00:15:01,120 --> 00:15:04,320 Speaker 3: Yes, yes, and I think that it's not something that 256 00:15:04,320 --> 00:15:07,840 Speaker 3: we're really like talking about. And one thing that kind 257 00:15:07,840 --> 00:15:10,560 Speaker 3: of made me realize, like, oh, this is a little 258 00:15:10,600 --> 00:15:13,240 Speaker 3: bit deeper than I realized. At the end of the year, 259 00:15:13,280 --> 00:15:17,440 Speaker 3: there was a TikTok trend where girls were asking chatchept 260 00:15:17,480 --> 00:15:20,680 Speaker 3: the craziest questions that they had asked chatchip. It's sort 261 00:15:20,720 --> 00:15:22,400 Speaker 3: of like a chatchepte. 262 00:15:22,160 --> 00:15:25,560 Speaker 4: Wrapped yeah yeah. 263 00:15:24,920 --> 00:15:29,680 Speaker 3: And so they would post screenshots of the response and 264 00:15:29,840 --> 00:15:32,280 Speaker 3: the way that that chat cheepe deep talk to these 265 00:15:32,320 --> 00:15:37,200 Speaker 3: girls like oh girl, Like it was crazy. It was 266 00:15:37,280 --> 00:15:40,440 Speaker 3: so crazy, and it made me realize like, oh, they 267 00:15:40,480 --> 00:15:43,400 Speaker 3: are talking to them like if not boyfriends, like their 268 00:15:43,440 --> 00:15:48,040 Speaker 3: best friend. Like there is some real parasocial relationships happening, 269 00:15:48,320 --> 00:15:50,480 Speaker 3: and I think for a lot of people, they're not 270 00:15:50,880 --> 00:15:54,120 Speaker 3: like I'm going to seek out a relationship with an 271 00:15:54,120 --> 00:15:57,760 Speaker 3: AI chatbot, but they just find themselves suddenly emotionally attached 272 00:15:58,000 --> 00:16:00,960 Speaker 3: and then it's like, oh shit, I'm in it with 273 00:16:01,000 --> 00:16:01,840 Speaker 3: this chatbot. 274 00:16:02,200 --> 00:16:03,760 Speaker 1: Yeah, yeah, yeah. 275 00:16:03,800 --> 00:16:05,680 Speaker 2: And I think it's also I mean, I don't know, 276 00:16:05,760 --> 00:16:09,600 Speaker 2: I think that there is even I have friends that 277 00:16:09,640 --> 00:16:13,800 Speaker 2: are married who are still like very attached to what 278 00:16:13,840 --> 00:16:17,360 Speaker 2: a chatbot thinks. I think we have since the kind 279 00:16:17,360 --> 00:16:20,480 Speaker 2: of dawn of the personal computer. I think this predates 280 00:16:20,520 --> 00:16:25,880 Speaker 2: the phone. Like we have learned to outsource our emotions 281 00:16:26,000 --> 00:16:27,560 Speaker 2: onto devices, you. 282 00:16:27,480 --> 00:16:29,720 Speaker 1: Know what I mean? Like, yeah, am I sad? Am? 283 00:16:29,760 --> 00:16:33,840 Speaker 2: I happy? Am I excited? Am I confused? Like let 284 00:16:33,880 --> 00:16:35,760 Speaker 2: me use a device? You know? 285 00:16:35,920 --> 00:16:38,240 Speaker 1: And it used to be that we like picked up 286 00:16:38,280 --> 00:16:39,520 Speaker 1: a book or read a. 287 00:16:39,680 --> 00:16:42,120 Speaker 2: You know, and like And I don't mean to sound 288 00:16:42,200 --> 00:16:44,880 Speaker 2: old fashioned, but I think that this idea that like 289 00:16:45,680 --> 00:16:49,160 Speaker 2: we can sort of outsource our emotional need to something 290 00:16:49,280 --> 00:16:56,680 Speaker 2: digital is like the most indicative human evolutionary change of 291 00:16:56,720 --> 00:16:59,800 Speaker 2: our time. And it's why there's so much rage online, 292 00:17:00,160 --> 00:17:03,680 Speaker 2: why there's so much joy online. But like, I think 293 00:17:03,720 --> 00:17:07,280 Speaker 2: the chatbot has like become an extension of this need 294 00:17:07,320 --> 00:17:10,639 Speaker 2: that we have to be in constant contact. And the 295 00:17:10,680 --> 00:17:13,359 Speaker 2: irony is that, like I think we are in less 296 00:17:13,400 --> 00:17:17,800 Speaker 2: contact with people, but we are in more contact than 297 00:17:17,840 --> 00:17:22,560 Speaker 2: ever with something. And I think every time a new 298 00:17:22,640 --> 00:17:28,840 Speaker 2: digital tool gets introduced, like human attention is co opted. 299 00:17:29,600 --> 00:17:30,720 Speaker 4: I think that is so true. 300 00:17:31,040 --> 00:17:33,880 Speaker 3: So I could not agree more like young people are 301 00:17:34,080 --> 00:17:36,679 Speaker 3: more lonelier than ever, like of course they're going to 302 00:17:36,960 --> 00:17:39,760 Speaker 3: turn to AI. And also, you know, we've seen such 303 00:17:39,800 --> 00:17:42,800 Speaker 3: a rise in therapy speak, and you know, everyone knows 304 00:17:42,840 --> 00:17:46,040 Speaker 3: that they should go to therapy. You know, everyone needs therapy, 305 00:17:46,240 --> 00:17:49,359 Speaker 3: but so a few people can afford therapy. And you know, 306 00:17:49,600 --> 00:17:52,040 Speaker 3: even if you sort of scoff at that and then 307 00:17:52,080 --> 00:17:54,159 Speaker 3: you find yourself in a hard moment and you're like, 308 00:17:54,240 --> 00:17:56,280 Speaker 3: I don't know how to process this. I'm going to 309 00:17:56,359 --> 00:18:00,360 Speaker 3: ask the all knowing chat GPT, well know, And it's 310 00:18:00,480 --> 00:18:02,760 Speaker 3: very easy to see how someone could turn to that. 311 00:18:03,160 --> 00:18:07,359 Speaker 4: And I also believe that at least I don't know. 312 00:18:07,440 --> 00:18:08,400 Speaker 4: Do you spend time on the. 313 00:18:08,359 --> 00:18:13,080 Speaker 3: Substack notes, I don't know, Okay, so it's it's substack 314 00:18:13,200 --> 00:18:17,160 Speaker 3: sort of Twitter competitor, But among the writers on that 315 00:18:17,800 --> 00:18:21,720 Speaker 3: are very very vocally anti AI, and I do see 316 00:18:21,720 --> 00:18:24,560 Speaker 3: that kind of poke up here and there on TikTok too. 317 00:18:24,840 --> 00:18:27,200 Speaker 3: For instance, when a rumor that Pinterest was going to 318 00:18:27,240 --> 00:18:30,000 Speaker 3: be acquired by open Ai through all of these like 319 00:18:30,080 --> 00:18:33,560 Speaker 3: never Ai people. But I have this feeling that like 320 00:18:33,920 --> 00:18:36,320 Speaker 3: no one is being honest about how much they're actually 321 00:18:36,400 --> 00:18:38,600 Speaker 3: using AI in the day to day. And I could 322 00:18:38,640 --> 00:18:40,600 Speaker 3: be wrong. This is just my theory, but you know 323 00:18:40,640 --> 00:18:44,160 Speaker 3: the theory the people who are the loudest against something 324 00:18:44,320 --> 00:18:47,280 Speaker 3: are either secretly like fascinated by it or like actively 325 00:18:47,400 --> 00:18:50,560 Speaker 3: using it. But it's just it's so easy. It's it's 326 00:18:50,600 --> 00:18:53,720 Speaker 3: readily available to you. And I just think that, you know, 327 00:18:53,800 --> 00:18:56,520 Speaker 3: everyone is using it more than they're kind of letting on. 328 00:18:58,160 --> 00:18:58,240 Speaker 1: No. 329 00:18:58,320 --> 00:19:00,960 Speaker 2: I think that's absolutely I think that's apout right. And 330 00:19:01,040 --> 00:19:02,880 Speaker 2: I think it's like even if you don't think you're 331 00:19:02,960 --> 00:19:06,080 Speaker 2: using it, you're using it right, you know. 332 00:19:06,240 --> 00:19:09,240 Speaker 3: Like if you're searching something on Google, you're using it 333 00:19:09,280 --> 00:19:10,119 Speaker 3: at the pop is. 334 00:19:11,720 --> 00:19:13,560 Speaker 2: So I want to talk a little bit about maxing, 335 00:19:13,960 --> 00:19:15,800 Speaker 2: because this was a trend that we saw this year. 336 00:19:15,920 --> 00:19:18,920 Speaker 2: Everything was about maxing, and there's looks maxing, social maxing, 337 00:19:19,520 --> 00:19:24,119 Speaker 2: productivity maxing. Now there's friction maxing, which might be the 338 00:19:24,119 --> 00:19:27,720 Speaker 2: trend of twenty twenty six. Is maxing the evolution of 339 00:19:27,840 --> 00:19:31,119 Speaker 2: a word or a behavior that has already existed, or 340 00:19:31,200 --> 00:19:33,199 Speaker 2: is maxing an entirely new phenomenon. 341 00:19:33,520 --> 00:19:34,760 Speaker 4: I think we've always maxed. 342 00:19:34,840 --> 00:19:39,760 Speaker 3: I think, to use another trending sort of phrase, I 343 00:19:39,760 --> 00:19:44,080 Speaker 3: think it is optimization core adjacent. I think it's I 344 00:19:44,080 --> 00:19:48,320 Speaker 3: think about as a teenager, young teenager reading seventeen and 345 00:19:48,400 --> 00:19:52,399 Speaker 3: teen Vogue, you know, the health advice, the fitness advice, 346 00:19:52,520 --> 00:19:55,800 Speaker 3: like I tried probably when I was like twelve, I 347 00:19:55,840 --> 00:19:58,360 Speaker 3: tried to do every single like that was my bible. 348 00:19:58,760 --> 00:20:00,400 Speaker 4: It's kind of sad to talk, well, but. 349 00:20:00,520 --> 00:20:03,000 Speaker 3: If I could follow the advice of these editors, like 350 00:20:03,080 --> 00:20:06,360 Speaker 3: I could be a perfect specimen, like I was obsessed. 351 00:20:06,359 --> 00:20:09,240 Speaker 3: I think many young women are obsessed with this idea 352 00:20:09,280 --> 00:20:12,840 Speaker 3: of perfection, and I think that that's very much Maxine 353 00:20:13,000 --> 00:20:17,159 Speaker 3: the teen boy, you know, association with Maxine. I think 354 00:20:17,400 --> 00:20:21,720 Speaker 3: that the Andrew Huberman's, the Joe Rogan's, the manisphere that 355 00:20:21,760 --> 00:20:23,960 Speaker 3: has sort of taken it to another level. 356 00:20:24,240 --> 00:20:26,600 Speaker 4: But I think to your point, we've always maxed. 357 00:20:26,880 --> 00:20:28,760 Speaker 1: I mean, I think fitness culture has always been a 358 00:20:28,800 --> 00:20:32,119 Speaker 1: thing for men. I do think that the Internet in general. 359 00:20:31,800 --> 00:20:36,840 Speaker 2: Has like called to the four a brighter spotlight on 360 00:20:37,000 --> 00:20:39,720 Speaker 2: the sort of vulnerabilities of men and their looks in 361 00:20:39,760 --> 00:20:42,439 Speaker 2: a way that when I was growing up boys just 362 00:20:42,480 --> 00:20:43,479 Speaker 2: didn't talk about it. 363 00:20:43,840 --> 00:20:47,879 Speaker 4: Definitely, it does seem like there's more visible pressure on 364 00:20:48,119 --> 00:20:49,560 Speaker 4: young men to look a certain way. 365 00:20:49,960 --> 00:20:50,240 Speaker 1: Though. 366 00:20:50,440 --> 00:20:52,320 Speaker 3: My brother is a year older than me, and when 367 00:20:52,320 --> 00:20:54,199 Speaker 3: we were in high school, I remember he was like 368 00:20:54,280 --> 00:20:56,199 Speaker 3: at one point, this is going to embarrass him if 369 00:20:56,240 --> 00:20:58,439 Speaker 3: he listens to this, but he was like obsessed with 370 00:20:58,560 --> 00:21:02,080 Speaker 3: like getting his cap to be like like, I mean, 371 00:21:02,119 --> 00:21:04,600 Speaker 3: this is a tale as old as time. Teen boys, 372 00:21:04,880 --> 00:21:08,120 Speaker 3: young boys, they've always had pressures on them to look 373 00:21:08,160 --> 00:21:11,199 Speaker 3: a certain way. Yeah, the resources of the you know, 374 00:21:11,400 --> 00:21:15,879 Speaker 3: all of these YouTube guys who are dispensing advice like 375 00:21:16,200 --> 00:21:18,840 Speaker 3: that didn't exist as much. Like if my brother wanted 376 00:21:18,880 --> 00:21:21,880 Speaker 3: to really truly like learn about what we now call 377 00:21:21,920 --> 00:21:24,600 Speaker 3: looks maxine, he could maybe read a book about like 378 00:21:25,080 --> 00:21:28,480 Speaker 3: the like exercise, you know, like the physiology. 379 00:21:28,600 --> 00:21:29,840 Speaker 1: I totally total. 380 00:21:29,920 --> 00:21:34,000 Speaker 3: But now, but now the resources are packaged very differently, 381 00:21:34,080 --> 00:21:36,840 Speaker 3: And I think that's how so many of these boys 382 00:21:36,880 --> 00:21:40,439 Speaker 3: who discover looks maxine then become you know, slightly red pilled, 383 00:21:40,440 --> 00:21:41,800 Speaker 3: and then it's like a whole different thing. 384 00:21:42,200 --> 00:21:42,520 Speaker 1: Yeah. 385 00:21:42,840 --> 00:21:46,680 Speaker 2: Yeah, before I let you go, I just want to 386 00:21:46,680 --> 00:21:50,920 Speaker 2: play a quick game with you. You very kindly included 387 00:21:50,960 --> 00:21:53,560 Speaker 2: a buzzword section for people like me and I want 388 00:21:53,600 --> 00:21:56,000 Speaker 2: to read through a few of these and you can 389 00:21:56,040 --> 00:21:57,800 Speaker 2: give me a don Would you be comfortable if I 390 00:21:57,840 --> 00:21:58,119 Speaker 2: did that? 391 00:21:58,760 --> 00:22:00,840 Speaker 4: Yeah? Yeah, I hope, I I hope. I can't I 392 00:22:00,880 --> 00:22:01,520 Speaker 4: have them down? 393 00:22:02,240 --> 00:22:07,480 Speaker 2: Okay, first one, am A me a livecore? 394 00:22:10,119 --> 00:22:11,000 Speaker 4: Am I a live core? 395 00:22:15,840 --> 00:22:15,959 Speaker 1: So? 396 00:22:16,119 --> 00:22:18,280 Speaker 4: This was a pretty wild. 397 00:22:18,080 --> 00:22:19,800 Speaker 1: I'm glad we got that on microphone. 398 00:22:19,840 --> 00:22:24,399 Speaker 3: Actually, this was a weird micro trend. This was not 399 00:22:24,600 --> 00:22:28,240 Speaker 3: like something that kids nationwide were doing, like you know, 400 00:22:28,560 --> 00:22:32,480 Speaker 3: but kids were filming themselves dropping heavy objects on their 401 00:22:32,520 --> 00:22:36,679 Speaker 3: feet to get the reaction as a sort of like 402 00:22:36,840 --> 00:22:42,960 Speaker 3: rejection against AI and and honestly a rejection against algorithmic 403 00:22:43,000 --> 00:22:46,040 Speaker 3: blandness and a sort of proof of life. 404 00:22:46,280 --> 00:22:49,360 Speaker 2: Wow, am I a live core? 405 00:22:52,560 --> 00:22:53,159 Speaker 1: Club? Club? 406 00:22:55,359 --> 00:22:59,280 Speaker 3: This was very much a micro trend. But a group 407 00:22:59,280 --> 00:23:04,359 Speaker 3: of gen Zers created a club for going to the club. Okay, 408 00:23:04,520 --> 00:23:07,080 Speaker 3: it was this push pool between like we want to 409 00:23:07,080 --> 00:23:09,920 Speaker 3: be going out more, we don't have that many friends, 410 00:23:10,760 --> 00:23:14,560 Speaker 3: people are afraid to go places by themselves for many reasons, safety, 411 00:23:14,640 --> 00:23:15,080 Speaker 3: et cetera. 412 00:23:15,520 --> 00:23:18,240 Speaker 4: And so they created a club club. 413 00:23:18,240 --> 00:23:20,720 Speaker 1: Very Cool Life. Three sixty kids. 414 00:23:21,200 --> 00:23:24,320 Speaker 3: So these are Genalfa and to some extent to gen 415 00:23:24,400 --> 00:23:29,280 Speaker 3: Z they have been surveilled by their parents and teachers 416 00:23:29,280 --> 00:23:32,040 Speaker 3: and you know, for much of their life. And so 417 00:23:32,280 --> 00:23:35,440 Speaker 3: Life three sixty is an app that I honestly didn't 418 00:23:35,480 --> 00:23:38,480 Speaker 3: know existed until a year or two ago. And it's 419 00:23:38,600 --> 00:23:43,280 Speaker 3: very it's like find my and So's. It's basically parents 420 00:23:43,359 --> 00:23:47,560 Speaker 3: just keeping constant tabs on there. It's like helicopter parents 421 00:23:47,880 --> 00:23:50,639 Speaker 3: two point zero in bold and by tech. But it 422 00:23:50,640 --> 00:23:52,520 Speaker 3: would be very interesting to see what happens with this 423 00:23:52,640 --> 00:23:57,080 Speaker 3: generation or you know, the subgroup who has been constantly 424 00:23:57,359 --> 00:24:00,200 Speaker 3: you know, kept tabs on by their parents. That is, 425 00:24:00,240 --> 00:24:00,959 Speaker 3: when they have freedom. 426 00:24:01,080 --> 00:24:03,119 Speaker 4: Will they ever have freedom? Do they even want freedom? 427 00:24:03,359 --> 00:24:07,600 Speaker 2: That's a good question. Lemonee Miso gochu Jane. 428 00:24:08,080 --> 00:24:11,919 Speaker 3: So this is kind of making fun of you know, 429 00:24:11,960 --> 00:24:15,040 Speaker 3: not just the New York Times food but so many 430 00:24:15,080 --> 00:24:19,679 Speaker 3: of these food bloggers food TikTokers just cramming as many 431 00:24:20,119 --> 00:24:23,280 Speaker 3: buzzwords into their recipe names as possible. 432 00:24:23,600 --> 00:24:25,240 Speaker 4: Got and you know, it's like. 433 00:24:25,680 --> 00:24:30,960 Speaker 3: Fusion, fusion to the max. This phrase took hold then 434 00:24:31,200 --> 00:24:34,480 Speaker 3: the New York I believe it was Eric Kim, one 435 00:24:34,480 --> 00:24:37,040 Speaker 3: of the New York Times food guys, then created a 436 00:24:37,160 --> 00:24:41,600 Speaker 3: lemony miso gochu jan recipe as a sort of wing 437 00:24:41,960 --> 00:24:44,560 Speaker 3: but you know what was interesting is in the ins 438 00:24:44,560 --> 00:24:49,160 Speaker 3: and Outs for twenty twenty six lists this kind of sentiment, 439 00:24:49,200 --> 00:24:52,480 Speaker 3: either specifically saying lemony miso go chu jing or saying 440 00:24:52,520 --> 00:24:56,879 Speaker 3: just overly complicated recipes very much out people want like 441 00:24:57,080 --> 00:25:00,920 Speaker 3: very simple quality recipes for twenty twenty six. 442 00:25:01,240 --> 00:25:03,159 Speaker 1: So like pasta with tomato. 443 00:25:02,840 --> 00:25:06,560 Speaker 3: Sauce exactly, exactly, like going back to basics. 444 00:25:06,880 --> 00:25:11,760 Speaker 2: Yeah, yeah, yeah, this is one that I'm very curious about. 445 00:25:12,200 --> 00:25:13,080 Speaker 1: Monkey barring. 446 00:25:13,560 --> 00:25:18,239 Speaker 3: Okay, so there's like a constant sort of cycle of 447 00:25:18,560 --> 00:25:23,280 Speaker 3: dating app adjacent terms or dating really dating terms. Yeah, 448 00:25:23,320 --> 00:25:27,119 Speaker 3: so sharking is another one. So sharking is when you're 449 00:25:27,160 --> 00:25:33,080 Speaker 3: just you're circling around, you're pursuing hookups monkey barring. I mean, 450 00:25:33,119 --> 00:25:36,160 Speaker 3: think about it. You're on the playground, your arm you're 451 00:25:36,280 --> 00:25:41,280 Speaker 3: still visualized there, you're still holding onto this monkey bar 452 00:25:41,920 --> 00:25:44,680 Speaker 3: you but your other hand is on this So you're 453 00:25:44,760 --> 00:25:48,800 Speaker 3: like you are effectively cheating on your partner who you're 454 00:25:48,840 --> 00:25:52,080 Speaker 3: planning to break up with while starting a new relationship 455 00:25:52,080 --> 00:25:52,680 Speaker 3: with someone else. 456 00:25:53,080 --> 00:25:54,879 Speaker 1: Yes, well, being alone is very hard. 457 00:25:55,600 --> 00:25:56,160 Speaker 4: It's hard. 458 00:25:56,680 --> 00:25:59,320 Speaker 1: It's very hard. What's a good boy? 459 00:25:59,560 --> 00:26:02,159 Speaker 3: Okay, I'm so glad you asked. So the gene alphas 460 00:26:02,200 --> 00:26:05,240 Speaker 3: have like their own sort of phrases, many of which 461 00:26:05,280 --> 00:26:07,680 Speaker 3: I feel like I probably don't even know about because 462 00:26:07,720 --> 00:26:10,320 Speaker 3: I really only learn about the ones that make it, 463 00:26:10,680 --> 00:26:14,120 Speaker 3: make it to TikTok. But good boy was when it's 464 00:26:14,200 --> 00:26:18,520 Speaker 3: like sort of demeaning to say, like, oh, aren't you 465 00:26:18,640 --> 00:26:21,560 Speaker 3: a good boy? So it's like, you know, kids can 466 00:26:21,640 --> 00:26:25,040 Speaker 3: like make anything, yes, yes, yes, yes yes, And so 467 00:26:25,119 --> 00:26:28,639 Speaker 3: then it took hold to where teachers were banning the 468 00:26:28,640 --> 00:26:32,399 Speaker 3: phrase good boy, much like six' seven and it was 469 00:26:33,320 --> 00:26:33,600 Speaker 3: a new. 470 00:26:33,640 --> 00:26:36,000 Speaker 4: One, now, yeah for one is another. 471 00:26:36,040 --> 00:26:39,600 Speaker 3: One it's actually interesting, though because six seven took off 472 00:26:40,040 --> 00:26:42,680 Speaker 3: and then for one was like deemed the new six, 473 00:26:42,800 --> 00:26:46,320 Speaker 3: seven but then six' seven like took off with a 474 00:26:46,520 --> 00:26:50,280 Speaker 3: vengeance like for one never really got the legs that 475 00:26:50,359 --> 00:26:53,720 Speaker 3: it maybe, could have, because yeah six seven then became 476 00:26:53,840 --> 00:26:54,560 Speaker 3: like such a. 477 00:26:54,600 --> 00:26:57,399 Speaker 4: Mainstream thing, yeah, yeah yeah what's a? 478 00:26:57,440 --> 00:26:59,399 Speaker 1: Yearner girl so THIS was. 479 00:26:59,600 --> 00:27:03,200 Speaker 3: I leave this popped up around The Time taylor swift 480 00:27:03,280 --> 00:27:07,000 Speaker 3: released her. Latest album it's when you you're kind of 481 00:27:07,000 --> 00:27:11,479 Speaker 3: a hopeless romantic but you're like very like proud, of 482 00:27:11,520 --> 00:27:15,040 Speaker 3: it and so you're not chill about what about your 483 00:27:15,080 --> 00:27:16,119 Speaker 3: crush or what? You? 484 00:27:16,160 --> 00:27:16,400 Speaker 4: Want? 485 00:27:16,880 --> 00:27:21,520 Speaker 2: Interesting, Interesting yeah i'm definitely a year, inner girl Which 486 00:27:21,520 --> 00:27:23,600 Speaker 2: is fine's anything wrong? 487 00:27:23,640 --> 00:27:25,680 Speaker 4: WITH it i think it's, better ACTUALLY so. 488 00:27:25,640 --> 00:27:27,760 Speaker 2: I get my last rapid fire is not a term 489 00:27:28,320 --> 00:27:30,800 Speaker 2: what's gonna pop in twenty six or? 490 00:27:30,840 --> 00:27:31,480 Speaker 1: Not pop. 491 00:27:32,160 --> 00:27:35,679 Speaker 3: YOU know i identify as a, trend researcher not a 492 00:27:35,720 --> 00:27:38,280 Speaker 3: trend what's The word i'm looking for that people? 493 00:27:38,359 --> 00:27:38,880 Speaker 1: Fore cast. 494 00:27:39,480 --> 00:27:43,840 Speaker 3: Trend FORECASTER but, i think, you know the brick popped 495 00:27:43,880 --> 00:27:45,639 Speaker 3: off so much at the end of the year with 496 00:27:45,680 --> 00:27:49,360 Speaker 3: all these headlines. AROUND landlines i think all of those 497 00:27:49,359 --> 00:27:53,119 Speaker 3: things are, very CUTE and i think that they're nice 498 00:27:53,119 --> 00:27:56,960 Speaker 3: ways To signal i'm a balanced person who isn't. Terminally 499 00:27:57,000 --> 00:27:59,760 Speaker 3: ONLINE but i do wonder how much of that is 500 00:28:00,240 --> 00:28:04,000 Speaker 3: just performative or, even worse like just for, the CONTENT 501 00:28:04,640 --> 00:28:10,160 Speaker 3: and i could see like a hobby backlash or. 502 00:28:11,720 --> 00:28:13,480 Speaker 4: Like everyone ebaying. Their. 503 00:28:13,920 --> 00:28:17,280 Speaker 3: NEEDLE interesting i don't know the. Analog trend it seems 504 00:28:17,320 --> 00:28:19,680 Speaker 3: to me that it is still, gaining steam that it has. 505 00:28:19,760 --> 00:28:23,760 Speaker 3: Not PLATEAUED but i do wonder how many hobbies can 506 00:28:23,800 --> 00:28:27,919 Speaker 3: one do and realize that that doesn't actually fill. 507 00:28:28,240 --> 00:28:40,360 Speaker 1: The, void katie thank you so much for. Joining me 508 00:28:40,800 --> 00:28:41,160 Speaker 1: thank you. 509 00:28:41,240 --> 00:28:42,800 Speaker 4: So much this is so. Much fun. 510 00:29:01,200 --> 00:29:03,280 Speaker 2: That's it for this week For, Tech Stuff I'm. Kara 511 00:29:03,400 --> 00:29:06,640 Speaker 2: price this episode was Produced By eliza Dennis And. Melissa 512 00:29:06,640 --> 00:29:10,400 Speaker 2: slaughter it was executive produced by Me, Oswa Oshan, julia 513 00:29:10,480 --> 00:29:13,600 Speaker 2: Nutter And kate Osborne for Kaleidoscope And katrina Norvell For. 514 00:29:13,640 --> 00:29:17,600 Speaker 2: iHeart Podcasts jack insley mixed this Episode And kyle murdoch 515 00:29:17,640 --> 00:29:17,959 Speaker 2: wrote our. 516 00:29:18,000 --> 00:29:20,160 Speaker 1: Theme song join Us on friday For the. 517 00:29:20,120 --> 00:29:22,320 Speaker 2: Week, in tech where we'll run through the headlines you 518 00:29:22,360 --> 00:29:25,480 Speaker 2: need to follow and, please, rate review and reach out 519 00:29:25,520 --> 00:29:27,800 Speaker 2: to us At tech stuff podcast at gmail. 520 00:29:27,840 --> 00:29:29,640 Speaker 1: Dot com we want to hear. From you