1 00:00:04,440 --> 00:00:06,160 Speaker 1: There Are No Girls on the Internet. As a production 2 00:00:06,200 --> 00:00:13,720 Speaker 1: of iHeartRadio and Unbossed Creative, I'm Bridget tout and this 3 00:00:13,840 --> 00:00:18,599 Speaker 1: is there Are No Girls on the Internet. Joey, thank 4 00:00:18,640 --> 00:00:21,720 Speaker 1: you for being here. Happy New Year. First newscast of 5 00:00:21,800 --> 00:00:22,799 Speaker 1: twenty twenty four. 6 00:00:23,079 --> 00:00:24,680 Speaker 2: In Bridget Happy New Year. 7 00:00:25,480 --> 00:00:27,440 Speaker 1: So it being the new year, I have to start 8 00:00:27,440 --> 00:00:30,280 Speaker 1: with a question. Do you have any kind of online 9 00:00:30,560 --> 00:00:33,640 Speaker 1: New Year's resolutions? And maybe not even resolutions, things that 10 00:00:33,680 --> 00:00:36,440 Speaker 1: you are like, I am leaving this in twenty twenty three. 11 00:00:36,600 --> 00:00:38,479 Speaker 1: This is not I'm not bringing this with me to 12 00:00:38,520 --> 00:00:39,320 Speaker 1: twenty twenty four. 13 00:00:39,960 --> 00:00:42,080 Speaker 2: Ooh. One thing. 14 00:00:42,120 --> 00:00:44,040 Speaker 3: I definitely at the end of the year when it 15 00:00:44,080 --> 00:00:48,680 Speaker 3: comes to like internet stuff, I'm you know, I was 16 00:00:48,720 --> 00:00:50,920 Speaker 3: on all the social medias and everything, and I was 17 00:00:51,000 --> 00:00:53,720 Speaker 3: like sort of trying to like downsize a little bit. 18 00:00:53,760 --> 00:00:54,800 Speaker 2: I was like I wanted to get rid of so 19 00:00:54,880 --> 00:00:55,480 Speaker 2: like I don't know. 20 00:00:55,400 --> 00:00:57,200 Speaker 3: I had a Snapchat account that I wade in like 21 00:00:57,240 --> 00:00:59,480 Speaker 3: high school that I was like, I don't use this anymore. 22 00:00:59,480 --> 00:01:01,600 Speaker 2: I'm deleting it. I deleted be real. 23 00:01:01,760 --> 00:01:04,120 Speaker 3: I know that that's been making a comeback like the 24 00:01:04,200 --> 00:01:06,800 Speaker 3: last month, but I was like, I don't use this. 25 00:01:07,120 --> 00:01:10,119 Speaker 3: I'm so yeah, I think I'm one of my things. 26 00:01:10,240 --> 00:01:12,160 Speaker 3: Sounds like I'm gonna be online, but it's gonna be 27 00:01:12,319 --> 00:01:14,800 Speaker 3: with like intention, Like I'm gonna not just gonna have 28 00:01:14,880 --> 00:01:18,120 Speaker 3: my like missile aedious accounts that I don't use. We'll 29 00:01:18,160 --> 00:01:20,280 Speaker 3: see how long that actually lasts. I will probably end 30 00:01:20,400 --> 00:01:24,840 Speaker 3: up making some new account to something and forgetting about it. 31 00:01:24,880 --> 00:01:26,520 Speaker 2: But yeah, that's the goal. 32 00:01:27,120 --> 00:01:29,840 Speaker 1: What a good thing, A good way to start the 33 00:01:29,920 --> 00:01:32,440 Speaker 1: new year. Like you know how we have like supring 34 00:01:32,480 --> 00:01:35,600 Speaker 1: cleaning or I'm gonnak. There's like a tradition where you 35 00:01:35,640 --> 00:01:38,199 Speaker 1: start the year with like cleaning out your physical space. 36 00:01:38,640 --> 00:01:41,160 Speaker 1: I like applying this to the digital just starting the 37 00:01:41,240 --> 00:01:44,160 Speaker 1: year fresh, those accounts that have just been lurking on 38 00:01:44,200 --> 00:01:46,919 Speaker 1: your phone that you're not really using actively or with intention, 39 00:01:47,319 --> 00:01:49,560 Speaker 1: getting rid of them and really kind of paring down 40 00:01:49,600 --> 00:01:51,360 Speaker 1: and being intentional about our digital use. 41 00:01:51,400 --> 00:01:53,160 Speaker 2: I love this exactly. 42 00:01:53,320 --> 00:01:56,080 Speaker 3: Yeah, I'm also like, I'm one of those people that 43 00:01:56,360 --> 00:01:58,760 Speaker 3: my phone is just like constantly telling me that my 44 00:01:59,200 --> 00:02:01,960 Speaker 3: iCloud is full and I don't have any space for anything. 45 00:02:02,120 --> 00:02:05,559 Speaker 3: So I'm trying to make sure I'm not just taking 46 00:02:05,640 --> 00:02:08,160 Speaker 3: up space on my phone and all that. But yeah, definitely, oh. 47 00:02:08,120 --> 00:02:10,440 Speaker 1: My god, I'm so bad about that I actually pay 48 00:02:10,560 --> 00:02:13,560 Speaker 1: for extra iCloud storage. I'm one of those people. So 49 00:02:13,560 --> 00:02:15,920 Speaker 1: I'm like, I would rather just pay a dollar a 50 00:02:15,919 --> 00:02:18,440 Speaker 1: month or whatever to not have to think about this 51 00:02:18,520 --> 00:02:20,120 Speaker 1: problem and not have to get those because there's a 52 00:02:20,200 --> 00:02:23,040 Speaker 1: thing more annoying than getting those those warnings like, oh 53 00:02:23,120 --> 00:02:24,560 Speaker 1: I've iCloud storage is low. 54 00:02:25,000 --> 00:02:26,800 Speaker 3: I never get it too, because like and then I 55 00:02:26,919 --> 00:02:29,160 Speaker 3: can keep teeking pictures like it never actually cuts me off, 56 00:02:29,160 --> 00:02:32,200 Speaker 3: and it just keeps. 57 00:02:30,720 --> 00:02:34,079 Speaker 1: Don't fully under this is embarrassing. I don't fully understand 58 00:02:34,200 --> 00:02:36,720 Speaker 1: how it works. I'm like, oh, well, I was like, 59 00:02:37,040 --> 00:02:39,520 Speaker 1: it's never stopped me from doing anything, but I they 60 00:02:39,560 --> 00:02:42,600 Speaker 1: do send those alerts all the time. One of my 61 00:02:43,000 --> 00:02:45,440 Speaker 1: in the new year, one of my digital behaviors that 62 00:02:45,480 --> 00:02:47,760 Speaker 1: I'm going to try to leave in twenty twenty three 63 00:02:48,000 --> 00:02:53,440 Speaker 1: is kind of getting worked up about small things on 64 00:02:53,560 --> 00:02:57,639 Speaker 1: social media. I will say making a podcast about the Internet, 65 00:02:57,760 --> 00:03:00,840 Speaker 1: like you really got to be tapped in and it 66 00:03:00,919 --> 00:03:04,359 Speaker 1: can't you. I do find myself getting annoyed at behavior 67 00:03:04,400 --> 00:03:06,280 Speaker 1: that is like, ultimately, if I take a step back, 68 00:03:06,320 --> 00:03:08,280 Speaker 1: I'm like, is this really do I really need to 69 00:03:08,320 --> 00:03:11,440 Speaker 1: be getting annoyed by this? The last thing I had 70 00:03:11,440 --> 00:03:14,120 Speaker 1: a big b in my bonnet about was how annoying 71 00:03:14,280 --> 00:03:16,240 Speaker 1: the ads on Twitter I have gotten. Have you have 72 00:03:16,320 --> 00:03:16,920 Speaker 1: you seen this? 73 00:03:17,120 --> 00:03:19,200 Speaker 2: Like, oh my god, they're out of control. 74 00:03:19,520 --> 00:03:21,560 Speaker 1: There's this one that I was getting where it's like 75 00:03:21,639 --> 00:03:24,240 Speaker 1: an ad for a bra and I don't even wear bras, 76 00:03:24,360 --> 00:03:27,200 Speaker 1: and so it's like this ad where it's like a 77 00:03:27,280 --> 00:03:31,480 Speaker 1: woman cutting a bra with scissors, and it just was 78 00:03:31,520 --> 00:03:34,360 Speaker 1: like an auto play video of a bra being cut 79 00:03:34,400 --> 00:03:37,240 Speaker 1: with scissors. And I was seeing it every freaking day, 80 00:03:37,320 --> 00:03:39,040 Speaker 1: and if I saw it one more time, I thought 81 00:03:39,040 --> 00:03:41,720 Speaker 1: I was going to scream. And then oftentimes the accounts 82 00:03:41,720 --> 00:03:44,440 Speaker 1: that are posting it are like they have a board 83 00:03:44,600 --> 00:03:48,040 Speaker 1: ape or like an nft avvy, and so I was like, 84 00:03:48,040 --> 00:03:51,920 Speaker 1: I don't want this board ape telling me what kind 85 00:03:51,920 --> 00:03:54,600 Speaker 1: of brought about it. Just didn't like it. 86 00:03:54,760 --> 00:03:57,840 Speaker 3: Oh my god, God, that does I don't. Yeah, I 87 00:03:57,880 --> 00:04:00,360 Speaker 3: feel like that's a pretty good generalization. Not going to 88 00:04:00,440 --> 00:04:03,520 Speaker 3: take my broad advice from somebody with the bored ape 89 00:04:04,640 --> 00:04:05,520 Speaker 3: profile picture. 90 00:04:06,080 --> 00:04:07,800 Speaker 1: Yeah, I feel like I wouldn't take any kind of 91 00:04:07,800 --> 00:04:09,040 Speaker 1: life advice from somebody. 92 00:04:09,120 --> 00:04:10,040 Speaker 2: Oh yeah, oh yeah. 93 00:04:10,080 --> 00:04:11,760 Speaker 1: If you got a board ape avy on Twitter and 94 00:04:11,760 --> 00:04:13,360 Speaker 1: there's nothing you can tell me that I need to know. 95 00:04:13,480 --> 00:04:16,040 Speaker 2: I feel literally, there was some tweet. 96 00:04:16,040 --> 00:04:17,600 Speaker 3: I don't even remember what the tweet was, but I 97 00:04:17,720 --> 00:04:19,360 Speaker 3: thought it was funny and I liked it. And then 98 00:04:19,400 --> 00:04:21,760 Speaker 3: I realized that the person had like a blue check mark, 99 00:04:21,800 --> 00:04:23,760 Speaker 3: and I immediately unliked it because I was like, no, 100 00:04:23,880 --> 00:04:26,000 Speaker 3: I feel this feels wrong. It feels like you shouldn't 101 00:04:26,000 --> 00:04:28,960 Speaker 3: be funny, Like I feel like you stole this from somebody. 102 00:04:29,000 --> 00:04:30,880 Speaker 3: You shouldn't have a blue check mark and be funny. 103 00:04:30,960 --> 00:04:32,000 Speaker 3: Like something wrong there. 104 00:04:32,120 --> 00:04:34,479 Speaker 1: Yeah, you don't get my laugh if you're also giving 105 00:04:34,520 --> 00:04:40,080 Speaker 1: you eight dollars, I love it. Okay, Well, I want 106 00:04:40,120 --> 00:04:43,960 Speaker 1: to start our first newscast of the year talking about 107 00:04:43,960 --> 00:04:46,800 Speaker 1: this really interesting new piece from Kate Lindsay and Bustle 108 00:04:46,920 --> 00:04:49,200 Speaker 1: that I've seen a lot of people sharing online called 109 00:04:49,440 --> 00:04:52,760 Speaker 1: dating apps are in their flop era. The peace posits 110 00:04:52,760 --> 00:04:55,240 Speaker 1: that if you met your partner or had a good 111 00:04:55,240 --> 00:04:58,520 Speaker 1: experience on a dating app like Hinge or Tinder, as 112 00:04:58,520 --> 00:05:01,720 Speaker 1: the piece said, you basically caught the last chopper out 113 00:05:01,760 --> 00:05:05,960 Speaker 1: of numb because apparently the dating apps are a hot mess. Now, 114 00:05:06,640 --> 00:05:08,200 Speaker 1: do you have any experience. 115 00:05:07,720 --> 00:05:08,359 Speaker 4: With dating apps? 116 00:05:09,120 --> 00:05:09,800 Speaker 2: That's fascinating. 117 00:05:09,800 --> 00:05:11,760 Speaker 3: This is the first that I've heard of this story. 118 00:05:11,760 --> 00:05:16,560 Speaker 3: But yeah, I I'm single, I use dating apps. I 119 00:05:16,640 --> 00:05:19,880 Speaker 3: am like daunting in the beginning of gen Z, I guess, 120 00:05:20,000 --> 00:05:23,840 Speaker 3: but that is really interesting. I definitely have some weird 121 00:05:23,920 --> 00:05:29,680 Speaker 3: dating app stories, but uh, you know, I think, especially 122 00:05:29,760 --> 00:05:32,240 Speaker 3: as like the ways people date, it has kind of 123 00:05:32,240 --> 00:05:32,839 Speaker 3: been changing. 124 00:05:33,120 --> 00:05:35,280 Speaker 2: But uh, yeah, I know this is the first I'm 125 00:05:35,279 --> 00:05:36,719 Speaker 2: hearing at this. That's interesting. 126 00:05:37,160 --> 00:05:40,200 Speaker 1: Okay, So she writes, talk to your friends, scroll social media, 127 00:05:40,279 --> 00:05:41,960 Speaker 1: or even to sit in a bar and listen and 128 00:05:42,000 --> 00:05:45,720 Speaker 1: you'll encounter a similar sentiment. Millennials are tired of dating apps, 129 00:05:45,720 --> 00:05:48,400 Speaker 1: and gen Z singles might not bother with them. A 130 00:05:48,440 --> 00:05:51,000 Speaker 1: twenty twenty three survey of college and grad students found 131 00:05:51,000 --> 00:05:53,599 Speaker 1: that seventy nine percent do not use dating apps even 132 00:05:53,640 --> 00:05:56,120 Speaker 1: once a month the peace fines. So it sounds like 133 00:05:56,160 --> 00:05:59,240 Speaker 1: the companies that run these dating apps are also feeling 134 00:05:59,320 --> 00:06:02,040 Speaker 1: this shift. Match Group, which owns a bunch of them, 135 00:06:02,160 --> 00:06:05,279 Speaker 1: tender hinge, match dot Com and Okaycupid, saw its stock 136 00:06:05,360 --> 00:06:08,799 Speaker 1: price drop forty percent in the past year. Bumble, whose 137 00:06:08,920 --> 00:06:11,719 Speaker 1: CEO Whitney wolf Heard, stepped down in November after ten 138 00:06:11,800 --> 00:06:15,200 Speaker 1: years at the app, and also Field is struggling through 139 00:06:15,240 --> 00:06:18,839 Speaker 1: a disastrous rebrand I actually the only dating app I 140 00:06:18,880 --> 00:06:21,920 Speaker 1: have ever used with any kind of regularity is Field. 141 00:06:22,000 --> 00:06:25,640 Speaker 1: It's an app that's like for queer people and like 142 00:06:25,839 --> 00:06:28,480 Speaker 1: non monogamous people, and like, I guess, like kinky people. 143 00:06:29,000 --> 00:06:32,920 Speaker 1: Field just had a really I guess. The only way 144 00:06:32,960 --> 00:06:36,200 Speaker 1: I can describe it as like disastrous rebrand that sounds 145 00:06:36,240 --> 00:06:38,359 Speaker 1: like a good bit to get into you on the 146 00:06:38,360 --> 00:06:40,320 Speaker 1: Patreon because like there, I have a lot to say 147 00:06:40,320 --> 00:06:43,560 Speaker 1: about it. But all of these apps, Field, Hinge, Bumble 148 00:06:43,640 --> 00:06:47,640 Speaker 1: Tender are really feeling this change. Match groups said that 149 00:06:47,720 --> 00:06:51,000 Speaker 1: they saw their paying users decline for the fourth straight quarter, 150 00:06:51,400 --> 00:06:54,400 Speaker 1: and a twenty twenty three p Research study found that 151 00:06:54,440 --> 00:06:57,520 Speaker 1: while forty one percent of online dating users age thirty 152 00:06:57,680 --> 00:07:00,679 Speaker 1: or older have paid for the apps, just two percent 153 00:07:00,680 --> 00:07:03,200 Speaker 1: of users under thirty, which is the demographic they are 154 00:07:03,240 --> 00:07:06,159 Speaker 1: really looking to court, have done the same. And yeah, 155 00:07:06,200 --> 00:07:08,080 Speaker 1: I just I just think it sounds like younger folks 156 00:07:08,080 --> 00:07:10,240 Speaker 1: are just like I'm good on these apps. What do 157 00:07:10,280 --> 00:07:10,640 Speaker 1: you think? 158 00:07:11,680 --> 00:07:13,840 Speaker 3: I definitely actually that I agree with. I don't know 159 00:07:13,880 --> 00:07:17,200 Speaker 3: anybody that I'm in my mid twenties. I don't know 160 00:07:17,200 --> 00:07:22,360 Speaker 3: anybody that pays for a dating app, but uh, yeah, 161 00:07:22,360 --> 00:07:25,440 Speaker 3: I definitely it's interesting too, like hearing that those stats 162 00:07:25,440 --> 00:07:28,280 Speaker 3: because I do think like of me and my peers 163 00:07:28,320 --> 00:07:29,920 Speaker 3: of people that I know that use dating apps, I 164 00:07:29,920 --> 00:07:32,760 Speaker 3: don't know a lot of people that use them, like thinking, yes, 165 00:07:32,880 --> 00:07:34,400 Speaker 3: this is how I'm going to find like a long 166 00:07:34,480 --> 00:07:38,000 Speaker 3: term relationship, like to be fully honest post people you know. 167 00:07:38,040 --> 00:07:40,120 Speaker 3: I don't know, like I use hine a lot. But 168 00:07:40,360 --> 00:07:42,280 Speaker 3: that's like there's like a thing where you can put 169 00:07:42,320 --> 00:07:43,880 Speaker 3: like what you're looking for. I don't think I've seen 170 00:07:43,880 --> 00:07:46,600 Speaker 3: a single person put like long just long term relationship 171 00:07:46,640 --> 00:07:49,560 Speaker 3: or whatever. It's all like just see what happens short 172 00:07:49,600 --> 00:07:51,520 Speaker 3: to relate, which is because I don't know, I feel 173 00:07:51,520 --> 00:07:53,480 Speaker 3: like that maybe it's also just like a that's how 174 00:07:53,880 --> 00:07:57,920 Speaker 3: my we're seeing dating now. That's interesting about field too, 175 00:07:57,920 --> 00:07:59,600 Speaker 3: because I was going to say the thing that I 176 00:07:59,720 --> 00:08:02,000 Speaker 3: keep so you got data apps is like and also 177 00:08:02,080 --> 00:08:04,600 Speaker 3: like I mean whatever, like I'm queer, I'm only I 178 00:08:04,640 --> 00:08:10,120 Speaker 3: only date other queer people. There's so many people that 179 00:08:10,160 --> 00:08:13,040 Speaker 3: are like non monogamous. I had to ask my little 180 00:08:13,040 --> 00:08:20,960 Speaker 3: brother what em meant over winter break. Kind though it 181 00:08:21,040 --> 00:08:23,000 Speaker 3: was really funny because he was my really is like 182 00:08:23,080 --> 00:08:25,760 Speaker 3: he's like nineteen, he's just like nono monography and I 183 00:08:25,800 --> 00:08:28,600 Speaker 3: was like, oh, okay, what like they already put that 184 00:08:28,760 --> 00:08:30,200 Speaker 3: monogamoust why don't we need to put that. 185 00:08:30,320 --> 00:08:31,000 Speaker 2: I also think this. 186 00:08:30,960 --> 00:08:33,160 Speaker 3: Is really funny because I'm like, does that mean, like 187 00:08:33,320 --> 00:08:36,480 Speaker 3: can somebody call themselves like unethically exactly? 188 00:08:37,600 --> 00:08:39,400 Speaker 2: I know, exactly, Like I was like, did I really 189 00:08:39,400 --> 00:08:40,760 Speaker 2: need to clarify at the goal? 190 00:08:42,000 --> 00:08:44,360 Speaker 3: And then of course my dad overheard this conversation and 191 00:08:44,360 --> 00:08:46,720 Speaker 3: we had to explain the concept of open relationships to him, 192 00:08:46,720 --> 00:08:52,880 Speaker 3: which was funny. But yeah, anyway, it's not too So 193 00:08:52,880 --> 00:08:55,560 Speaker 3: it's definitely there's you know, some generational thing. I don't know, 194 00:08:55,600 --> 00:08:58,280 Speaker 3: I'm all for people doing the non monogamy thing. You know, 195 00:08:58,920 --> 00:09:01,280 Speaker 3: there's different ways of data, different ways. But yeah, that's 196 00:09:01,280 --> 00:09:03,920 Speaker 3: definitely I think the majority of what I'm I've been 197 00:09:03,960 --> 00:09:07,760 Speaker 3: seeing on there, which I don't Again, I don't think 198 00:09:07,760 --> 00:09:09,680 Speaker 3: that's necessarily bad thing, but I can see, like from 199 00:09:09,679 --> 00:09:14,520 Speaker 3: a you know, the corporation's perspective, not having people paying 200 00:09:14,559 --> 00:09:18,160 Speaker 3: for the app or whatever is probably not great for them. 201 00:09:18,920 --> 00:09:19,120 Speaker 4: Yeah. 202 00:09:19,240 --> 00:09:20,760 Speaker 1: First of all, I have to say, I would have 203 00:09:20,840 --> 00:09:23,200 Speaker 1: loved to have been a fly on the wall in 204 00:09:23,240 --> 00:09:28,480 Speaker 1: the pet household during this conversation. Yeah, so it does 205 00:09:28,520 --> 00:09:31,720 Speaker 1: sound like exactly what you're saying is happening, that younger 206 00:09:31,760 --> 00:09:36,559 Speaker 1: people just aren't feeling the idea of paying for this experience, 207 00:09:36,640 --> 00:09:39,880 Speaker 1: and basically, you know, I guess I consider myself a millennial, 208 00:09:39,920 --> 00:09:43,720 Speaker 1: like a generation older than you, And for my generation, 209 00:09:44,080 --> 00:09:46,920 Speaker 1: dating apps and hookup apps were kind of considered the 210 00:09:46,960 --> 00:09:50,080 Speaker 1: norm of the millennial experience, right, Like they were part 211 00:09:50,120 --> 00:09:53,040 Speaker 1: of what it meant to be a young millennial when 212 00:09:53,080 --> 00:09:54,680 Speaker 1: I was coming up, and I think I kind of 213 00:09:54,720 --> 00:09:57,000 Speaker 1: came up in the heyday of those apps. I didn't 214 00:09:57,000 --> 00:09:58,920 Speaker 1: really use them myself, but a lot of my friends 215 00:09:58,920 --> 00:10:01,400 Speaker 1: did like that that was the thing. And I think 216 00:10:01,480 --> 00:10:06,560 Speaker 1: that for the younger generation it's just fatigue. I think 217 00:10:06,559 --> 00:10:09,400 Speaker 1: people are experiencing fatigue around these apps and just not 218 00:10:09,679 --> 00:10:11,959 Speaker 1: using them the way that they used to. I also 219 00:10:11,960 --> 00:10:16,600 Speaker 1: think the experience of like just swiping after swiping after swiping, 220 00:10:16,600 --> 00:10:18,200 Speaker 1: and then having to like go on the date and 221 00:10:18,200 --> 00:10:19,880 Speaker 1: be like, oh, do you have any siblings? Oh what 222 00:10:19,920 --> 00:10:22,440 Speaker 1: do you do? Like, I think there's there might be 223 00:10:22,520 --> 00:10:27,160 Speaker 1: a lot of feelings of exhaustion associated with the experience 224 00:10:27,200 --> 00:10:29,760 Speaker 1: and what it feels like to be on these apps, 225 00:10:30,040 --> 00:10:32,920 Speaker 1: and part of it does just sound like the experience 226 00:10:32,960 --> 00:10:36,040 Speaker 1: of showing up there kind of sucks. Now, the most 227 00:10:36,080 --> 00:10:39,400 Speaker 1: popular apps are free, but they really encourage you to 228 00:10:39,559 --> 00:10:42,439 Speaker 1: pay to interact with people, and basically it sounds like 229 00:10:42,480 --> 00:10:46,000 Speaker 1: they are paywalling all the good profiles on Hinge. You 230 00:10:46,080 --> 00:10:48,679 Speaker 1: might know this because you use it. You can only 231 00:10:48,720 --> 00:10:51,199 Speaker 1: interact with profiles of people who are getting lots of 232 00:10:51,240 --> 00:10:54,080 Speaker 1: attention or who the algorithm thinks that you might be 233 00:10:54,120 --> 00:10:56,280 Speaker 1: a good match for things that you might like if 234 00:10:56,320 --> 00:10:59,319 Speaker 1: you send them a rose. Users get one free rose 235 00:10:59,360 --> 00:11:02,880 Speaker 1: per week to send, and in order to regularly engage 236 00:11:02,880 --> 00:11:05,680 Speaker 1: with those standout profiles, you would need to buy more 237 00:11:05,800 --> 00:11:08,960 Speaker 1: roses starting at three ninety nine each, or limit your 238 00:11:09,000 --> 00:11:12,280 Speaker 1: options to Hinge's general algorithm, where it sounds like they 239 00:11:12,400 --> 00:11:14,680 Speaker 1: keep all the duds, all the people that they know 240 00:11:15,080 --> 00:11:17,920 Speaker 1: you're not gonna like they'll show you those people for free, 241 00:11:17,920 --> 00:11:19,120 Speaker 1: but if you want to see any of the like 242 00:11:19,240 --> 00:11:20,760 Speaker 1: good ones, you gotta pay. 243 00:11:21,400 --> 00:11:22,000 Speaker 2: Oh my god. 244 00:11:22,640 --> 00:11:25,160 Speaker 3: Yeah, it's interesting too, because again, like I said, like 245 00:11:25,240 --> 00:11:28,440 Speaker 3: i I'm on the queer side of Hinge, but like 246 00:11:28,640 --> 00:11:30,760 Speaker 3: I'll talk to my little sister about this, and like 247 00:11:30,840 --> 00:11:33,920 Speaker 3: she she's straight, and like she gets older, like and 248 00:11:34,240 --> 00:11:37,520 Speaker 3: it's a totally different experience like hinge is completely different 249 00:11:37,520 --> 00:11:40,360 Speaker 3: for her. I guess the one other thing I think 250 00:11:40,360 --> 00:11:42,000 Speaker 3: for the I don't know if this is part of 251 00:11:42,000 --> 00:11:44,079 Speaker 3: the generational thing, because I definitely do think like people 252 00:11:44,080 --> 00:11:46,360 Speaker 3: still use it, but I think with the especially people 253 00:11:46,400 --> 00:11:49,200 Speaker 3: looking at it more casually, like it's like playing a game. 254 00:11:49,280 --> 00:11:54,520 Speaker 2: Like it's like you're playing swipes, You're like, which, yeah, 255 00:11:54,520 --> 00:11:54,880 Speaker 2: I don't know. 256 00:11:54,920 --> 00:11:57,520 Speaker 3: I feel like sometimes like a lot more people that 257 00:11:57,600 --> 00:11:59,040 Speaker 3: I'll talk to you that are younger will look at 258 00:11:59,040 --> 00:12:01,680 Speaker 3: it almost like video game that you're playing, where it's 259 00:12:01,720 --> 00:12:05,120 Speaker 3: just like or like you're you're getting like points your 260 00:12:05,280 --> 00:12:08,000 Speaker 3: like sort of I don't know, I was talking to Okay, 261 00:12:08,000 --> 00:12:10,280 Speaker 3: now I'm terrified that somebody I'm matched with it on him. 262 00:12:10,280 --> 00:12:12,600 Speaker 2: Just gonna listen to this. If you are, I'm obviously 263 00:12:12,640 --> 00:12:13,319 Speaker 2: not talking about. 264 00:12:13,160 --> 00:12:17,480 Speaker 3: I'm not talking about that, but uh, like it's like 265 00:12:17,520 --> 00:12:19,800 Speaker 3: it's almost like a like it's like the serotonin boost 266 00:12:19,880 --> 00:12:21,600 Speaker 3: just like the appeal of it. Like I'm like, I'm 267 00:12:21,600 --> 00:12:25,200 Speaker 3: not even really looking for like any more than I 268 00:12:25,240 --> 00:12:27,319 Speaker 3: am in like any other space for like dating. It's 269 00:12:27,320 --> 00:12:29,520 Speaker 3: more just like the like, oh, like you're getting points 270 00:12:29,520 --> 00:12:32,360 Speaker 3: that show you you're attractive or whatever. Because people are 271 00:12:32,360 --> 00:12:37,160 Speaker 3: liking your profile. But yeah, I and I could definitely 272 00:12:37,200 --> 00:12:40,480 Speaker 3: And again a straight woman, I'm so sorry for y'all. 273 00:12:40,520 --> 00:12:43,839 Speaker 2: Like I'm sure you haven't, but just from talking to. 274 00:12:43,840 --> 00:12:49,120 Speaker 3: My sister, like my my handfull of straight friends, it's 275 00:12:49,160 --> 00:12:49,840 Speaker 3: it sounds rough. 276 00:12:50,000 --> 00:12:51,320 Speaker 2: It sounds rough, it does. 277 00:12:51,440 --> 00:12:54,680 Speaker 1: I have heard I mean, I should say like, I 278 00:12:54,679 --> 00:12:57,040 Speaker 1: have been off the market for a very long time, 279 00:12:57,080 --> 00:12:58,520 Speaker 1: so I don't I don't really know what it's like 280 00:12:58,559 --> 00:13:01,880 Speaker 1: out there, but I have heard horse about the kinds 281 00:13:01,920 --> 00:13:05,280 Speaker 1: of things that men will say and do to women 282 00:13:05,320 --> 00:13:09,040 Speaker 1: on first dates. It I yeah, I also feel for 283 00:13:09,280 --> 00:13:12,559 Speaker 1: people who are single dating. It doesn't sound like it's 284 00:13:12,840 --> 00:13:15,520 Speaker 1: always very fun, and it doesn't sound like the addition 285 00:13:15,600 --> 00:13:18,640 Speaker 1: of these apps, which at one time I do think 286 00:13:18,920 --> 00:13:20,880 Speaker 1: came with the promise of like, oh, you'll get to 287 00:13:20,880 --> 00:13:22,520 Speaker 1: swipe through lots of people and you'll get to go 288 00:13:22,559 --> 00:13:24,200 Speaker 1: on lots of dates and it will feel really good 289 00:13:24,200 --> 00:13:26,920 Speaker 1: and you'll you'll get to like have your pick. I 290 00:13:26,920 --> 00:13:29,280 Speaker 1: don't know that it feels that way anymore. So Yeah, 291 00:13:29,480 --> 00:13:31,160 Speaker 1: I just I feel for everybody. 292 00:13:31,840 --> 00:13:33,240 Speaker 2: Yeah, definitely. 293 00:13:33,640 --> 00:13:37,120 Speaker 1: And also I will say that the Rose thing, I 294 00:13:37,200 --> 00:13:41,280 Speaker 1: just think the vibes might feel weird, like if I 295 00:13:41,480 --> 00:13:45,120 Speaker 1: knew that somebody paid four dollars just to talk to me, 296 00:13:47,160 --> 00:13:50,959 Speaker 1: that our initial conversation. I just it doesn't feel like 297 00:13:51,000 --> 00:13:52,880 Speaker 1: the kind of vibe that I would want to start 298 00:13:52,920 --> 00:13:55,640 Speaker 1: a potential relationship with. And so I just feel like 299 00:13:56,000 --> 00:13:59,760 Speaker 1: that system might already be setting folks up for an 300 00:13:59,800 --> 00:14:02,520 Speaker 1: ex experience that just maybe feels a little bit weird. 301 00:14:03,840 --> 00:14:06,360 Speaker 2: Yeah, I because it's I think unhinged. 302 00:14:06,400 --> 00:14:08,440 Speaker 3: You get like a free rose every day, but like 303 00:14:08,520 --> 00:14:10,840 Speaker 3: I honestly I don't think I've ever used them, and 304 00:14:11,000 --> 00:14:13,959 Speaker 3: like I've seen I don't know, like that's people who 305 00:14:14,000 --> 00:14:15,640 Speaker 3: sent me roses, you know. 306 00:14:17,120 --> 00:14:19,360 Speaker 2: But it's always like I never know what the like, 307 00:14:19,960 --> 00:14:20,320 Speaker 2: I don't know. 308 00:14:20,360 --> 00:14:21,960 Speaker 3: I mean, the thing about dating apps is you're not 309 00:14:21,960 --> 00:14:23,400 Speaker 3: meaning in person, so it's hard to pick up like 310 00:14:23,400 --> 00:14:25,040 Speaker 3: the social cues or whatever. But I'm always like, I 311 00:14:25,040 --> 00:14:26,920 Speaker 3: don't even really know what that means, Like did you 312 00:14:27,040 --> 00:14:29,400 Speaker 3: just like really like my profile or were like, were 313 00:14:29,400 --> 00:14:31,120 Speaker 3: you like, I guess I'm gonna use my one rose 314 00:14:31,160 --> 00:14:33,920 Speaker 3: today whatever, like yeah, and it is a little weird, 315 00:14:33,960 --> 00:14:35,840 Speaker 3: like it is. I Yeah, I never thought about it 316 00:14:35,840 --> 00:14:38,240 Speaker 3: that way too, of like, oh, if you're paying what 317 00:14:38,440 --> 00:14:42,800 Speaker 3: like four dollars to see me, I don't know, that's 318 00:14:42,840 --> 00:14:44,720 Speaker 3: a lot of that feels like a lot of pressure. 319 00:14:45,720 --> 00:14:50,080 Speaker 1: Yeah, pressure, the very vibe that starts out every good relationship, 320 00:14:50,200 --> 00:14:53,840 Speaker 1: every good romantic pairing. And so in the wake of 321 00:14:53,960 --> 00:14:56,880 Speaker 1: people sort of not feeling the vibes on these apps, 322 00:14:57,080 --> 00:15:00,760 Speaker 1: the companies themselves are trying to pivot. Like Tinder used 323 00:15:00,760 --> 00:15:02,880 Speaker 1: to be considered the hookup app, like the app that 324 00:15:03,000 --> 00:15:05,080 Speaker 1: was just for like if you want it, like for 325 00:15:05,120 --> 00:15:07,360 Speaker 1: people who wanted a booty call, right, But since gen 326 00:15:07,480 --> 00:15:11,640 Speaker 1: Z statistically is doing the casual hookup thing a lot less, 327 00:15:11,960 --> 00:15:15,080 Speaker 1: Tinder is sort of pivoting to service folks who say 328 00:15:15,120 --> 00:15:17,440 Speaker 1: they are looking for love and letting people pick and 329 00:15:18,080 --> 00:15:21,040 Speaker 1: describe the kind of relationships or interactions that they're looking 330 00:15:21,120 --> 00:15:23,720 Speaker 1: for on the app. So they're trying to pivot away 331 00:15:23,760 --> 00:15:26,360 Speaker 1: from being solely like a hookup app. I found this 332 00:15:26,480 --> 00:15:30,560 Speaker 1: really funny. Tinder has also become more kind of politically 333 00:15:30,680 --> 00:15:34,360 Speaker 1: and socially aware, trying to appeal to that gen Z 334 00:15:34,480 --> 00:15:36,960 Speaker 1: market that they're really going for. They know that gen 335 00:15:37,040 --> 00:15:40,960 Speaker 1: Z really cares about social and political clauses, and Melissa Hobbley, 336 00:15:41,040 --> 00:15:44,800 Speaker 1: the chief marketing officer at Tinder, says the lgbtqia plus 337 00:15:44,880 --> 00:15:47,320 Speaker 1: community is the fastest growing demo on the app, and 338 00:15:47,400 --> 00:15:51,160 Speaker 1: during Pride Month, Tinder helped connect eligible users with information 339 00:15:51,200 --> 00:15:54,320 Speaker 1: about a study that hopes to combat the FBA's bloodban 340 00:15:54,400 --> 00:15:57,680 Speaker 1: against gig donors. Tinder also launched an election center for 341 00:15:57,720 --> 00:16:00,720 Speaker 1: app users to access voter registration tools and locate their 342 00:16:00,760 --> 00:16:04,760 Speaker 1: polling stations, and allowed users to include a pro choice 343 00:16:04,840 --> 00:16:07,640 Speaker 1: interest on their profile. So all of that is meant 344 00:16:07,640 --> 00:16:10,320 Speaker 1: to really appeal to like younger folks who they're trying 345 00:16:10,360 --> 00:16:12,960 Speaker 1: to get to use these apps with more regularity. 346 00:16:13,720 --> 00:16:16,680 Speaker 2: Yeah, that makes sense. I remember when. 347 00:16:18,080 --> 00:16:20,600 Speaker 3: I because also I when I don't know, I got 348 00:16:20,680 --> 00:16:24,360 Speaker 3: back on dating apps, like a couple months ago, probably, 349 00:16:25,720 --> 00:16:28,280 Speaker 3: and I remember seeing that on tender. 350 00:16:28,440 --> 00:16:29,520 Speaker 2: I do have a Tinder somewhere. 351 00:16:29,520 --> 00:16:32,720 Speaker 3: I don't think i've used it, sounds I downloaded it, 352 00:16:32,760 --> 00:16:34,840 Speaker 3: but I remember seeing there were like things you could 353 00:16:35,200 --> 00:16:36,960 Speaker 3: like that you were interested in. Pro choice was one 354 00:16:37,000 --> 00:16:38,520 Speaker 3: of them, and I was like, that's sort of a 355 00:16:38,560 --> 00:16:42,760 Speaker 3: weird like interest. But I guess, like, okay, like I 356 00:16:42,800 --> 00:16:45,600 Speaker 3: don't know, I know Hinje also does the like you 357 00:16:45,640 --> 00:16:48,200 Speaker 3: can put your although it only gives you like liberal 358 00:16:48,360 --> 00:16:52,480 Speaker 3: and like conservative, which I think is interesting. 359 00:16:53,400 --> 00:17:00,800 Speaker 1: Yeah, it's progressive, liberative, that's it. And I I honestly 360 00:17:00,840 --> 00:17:04,399 Speaker 1: think what is happening with these dating apps is like 361 00:17:04,440 --> 00:17:07,640 Speaker 1: well always seems to happen with social platforms online, right, 362 00:17:07,720 --> 00:17:09,680 Speaker 1: Like part of it is that I think that Hinge 363 00:17:09,880 --> 00:17:12,879 Speaker 1: was this big, standout mainstream dating app for a while 364 00:17:13,080 --> 00:17:14,920 Speaker 1: that made a big song and dance about how they 365 00:17:15,000 --> 00:17:18,720 Speaker 1: genuinely were interested in and invested in people meeting their matches. 366 00:17:18,760 --> 00:17:20,800 Speaker 1: Like their slogan was, oh, this is an app that 367 00:17:20,840 --> 00:17:22,600 Speaker 1: it's meant to be deleted because we want you to 368 00:17:22,640 --> 00:17:26,080 Speaker 1: find your person and then delete the app. However, like 369 00:17:26,160 --> 00:17:29,639 Speaker 1: most platforms dating platforms, they want your data. They are 370 00:17:29,680 --> 00:17:31,840 Speaker 1: interested in making money from your data. And once they 371 00:17:31,840 --> 00:17:34,399 Speaker 1: have gotten all they can from the data of the 372 00:17:35,000 --> 00:17:37,120 Speaker 1: maximum amount of users who are going to sign up, 373 00:17:37,359 --> 00:17:39,639 Speaker 1: then they are pivoting to wanting your money too. So 374 00:17:39,680 --> 00:17:42,199 Speaker 1: they're not designed to be deleted. They are designed to 375 00:17:42,200 --> 00:17:44,600 Speaker 1: make money off of people who use them, right, just 376 00:17:44,640 --> 00:17:47,879 Speaker 1: like that's why these apps exist. And so if that 377 00:17:48,000 --> 00:17:52,160 Speaker 1: means paywalling anybody that you might potentially be interested in, 378 00:17:52,480 --> 00:17:54,760 Speaker 1: they are going to do that. I read recently that 379 00:17:54,840 --> 00:17:58,240 Speaker 1: Tinder has launched this like super lux premium package for 380 00:17:58,480 --> 00:18:01,080 Speaker 1: five hundred dollars a month, where they were like, oh, 381 00:18:01,119 --> 00:18:04,600 Speaker 1: we'll have like super special algorithmic matching and even like 382 00:18:04,680 --> 00:18:07,680 Speaker 1: humans will help match people. Listen, if I'm paying five 383 00:18:07,760 --> 00:18:10,399 Speaker 1: hundred dollars a month for a dating site, the person 384 00:18:10,440 --> 00:18:12,919 Speaker 1: I meet there better also be like a valet and 385 00:18:12,960 --> 00:18:16,000 Speaker 1: a personal chef and all the things. But I just 386 00:18:16,000 --> 00:18:18,280 Speaker 1: think that they're just trying to like throw stuff at 387 00:18:18,280 --> 00:18:21,520 Speaker 1: the wall to see what sticks, to set themselves apart, 388 00:18:21,520 --> 00:18:24,480 Speaker 1: because people like I don't think they're offering people an experience. 389 00:18:24,520 --> 00:18:25,480 Speaker 1: It always feels good. 390 00:18:25,560 --> 00:18:29,160 Speaker 3: Yeah, absolutely, I mean I think the. 391 00:18:29,119 --> 00:18:30,239 Speaker 2: Other I mean the other thing too. 392 00:18:30,280 --> 00:18:32,600 Speaker 3: I don't know if any if anybody who lives in 393 00:18:32,640 --> 00:18:36,280 Speaker 3: New York remembers the big advertisements that were all over 394 00:18:36,640 --> 00:18:40,479 Speaker 3: the Union Square subway station for I'm blaking out when 395 00:18:40,520 --> 00:18:42,080 Speaker 3: it was called, But it was some dating app that 396 00:18:42,119 --> 00:18:44,920 Speaker 3: was supposed to be like people that were like elite 397 00:18:45,040 --> 00:18:49,120 Speaker 3: and like had nice jobs. Belague had a four years 398 00:18:49,160 --> 00:18:49,680 Speaker 3: What it was. 399 00:18:51,640 --> 00:18:51,760 Speaker 2: Like? 400 00:18:51,800 --> 00:18:52,040 Speaker 1: I was. 401 00:18:52,119 --> 00:18:54,520 Speaker 2: I remember seeing that. I was like what like? I 402 00:18:54,560 --> 00:18:55,439 Speaker 2: was like what like? 403 00:18:56,040 --> 00:18:58,040 Speaker 3: I don't know that because that kind of I feel 404 00:18:58,040 --> 00:19:00,600 Speaker 3: like reminds me of this where it's like it's there's 405 00:19:00,600 --> 00:19:03,240 Speaker 3: so many like hyper specific ones that I'm always like, 406 00:19:03,480 --> 00:19:06,000 Speaker 3: is there really like enough people for this to work 407 00:19:06,080 --> 00:19:07,479 Speaker 3: who like want to do I don't know. I had 408 00:19:07,520 --> 00:19:08,919 Speaker 3: a friend that signed up for the leak though, and 409 00:19:08,960 --> 00:19:15,040 Speaker 3: it sounded like a very interesting experience. Yeah No, that's 410 00:19:15,080 --> 00:19:19,840 Speaker 3: that's weird. I yeah, at that point, like five hundred dollars, 411 00:19:19,880 --> 00:19:23,520 Speaker 3: like just go back to finding a matchmaker or something 412 00:19:23,680 --> 00:19:26,480 Speaker 3: like the old I don't know, go old school exactly. 413 00:19:26,480 --> 00:19:30,000 Speaker 1: I mean, I again, I'm I'm I didn't really get 414 00:19:30,040 --> 00:19:33,440 Speaker 1: to experience the heyday of the apps, but everybody that 415 00:19:33,480 --> 00:19:36,800 Speaker 1: I've ever had a meaningful relationship with has been through 416 00:19:37,119 --> 00:19:40,560 Speaker 1: I've met through the original og hint, which is just 417 00:19:40,600 --> 00:19:43,160 Speaker 1: like having pushy friends who like to set people up 418 00:19:43,680 --> 00:19:44,880 Speaker 1: who won't take answer. 419 00:19:45,400 --> 00:19:47,440 Speaker 2: Yeah, oh my god. 420 00:19:47,880 --> 00:19:50,800 Speaker 1: And I guess, like, I don't know. I don't think 421 00:19:50,800 --> 00:19:52,919 Speaker 1: anybody should be spending five hundred dollars a month on 422 00:19:52,960 --> 00:19:55,480 Speaker 1: a dating a dating app. Absolutely not that money could 423 00:19:55,480 --> 00:19:57,880 Speaker 1: be better spent, for sure, But I just really feel 424 00:19:57,920 --> 00:20:00,800 Speaker 1: for people trying to meet people romantically these days, Like 425 00:20:01,160 --> 00:20:03,879 Speaker 1: it feels like what these apps are offering you, Like 426 00:20:03,920 --> 00:20:05,560 Speaker 1: there was a time where it felt like they were 427 00:20:05,600 --> 00:20:08,240 Speaker 1: offering an endless supply of potential matches. It was going 428 00:20:08,280 --> 00:20:10,600 Speaker 1: to be really fun, but it seems like now it's like, hey, 429 00:20:10,600 --> 00:20:11,960 Speaker 1: do you want this dud or do you want to 430 00:20:12,000 --> 00:20:14,520 Speaker 1: give us ten dollars a month or whatever? Right, And like, 431 00:20:14,640 --> 00:20:17,760 Speaker 1: I don't know. Dating should be fun and it should 432 00:20:17,760 --> 00:20:21,600 Speaker 1: be pleasurable. And I hope that people who are looking 433 00:20:21,600 --> 00:20:24,800 Speaker 1: to be romantically involved or partnered or having any kind 434 00:20:24,800 --> 00:20:27,520 Speaker 1: of whatever interaction they're seeking, I hope that they are 435 00:20:27,640 --> 00:20:30,080 Speaker 1: finding ways to do that that feel fulfilling and fun 436 00:20:30,119 --> 00:20:33,080 Speaker 1: and gratifying, whether they're online or off. Because yeah, it 437 00:20:33,080 --> 00:20:36,600 Speaker 1: shouldn't just be a slog that mirrors the annoyances and 438 00:20:36,680 --> 00:20:40,120 Speaker 1: exhaustion of showing up on social media platforms. Like that's 439 00:20:40,119 --> 00:20:43,240 Speaker 1: not what romantic partnership is about, and like you deserve 440 00:20:43,280 --> 00:20:45,879 Speaker 1: better than something that feels like a fucking slog. It's 441 00:20:45,880 --> 00:20:46,680 Speaker 1: supposed to be fun. 442 00:20:52,080 --> 00:21:04,680 Speaker 4: Let's take a quick break, edder back. 443 00:21:07,400 --> 00:21:13,560 Speaker 1: Speaking of not of unfulfilling online experiences full of things 444 00:21:13,560 --> 00:21:17,000 Speaker 1: that are bad. It was a clunky transition, but you 445 00:21:17,000 --> 00:21:19,800 Speaker 1: know where I'm going with this. Let's talk about Substack, 446 00:21:20,240 --> 00:21:24,480 Speaker 1: the newsletter platform. Substack has a bit of a Nazi problem. 447 00:21:24,880 --> 00:21:29,920 Speaker 1: This week, Substack agreed to remove five newsletters featuring Nazi 448 00:21:30,000 --> 00:21:34,160 Speaker 1: content that incited violence. This comes after almost two hundred writers, 449 00:21:34,200 --> 00:21:37,639 Speaker 1: including Casey Newton, who runs Platformer, which I love, a 450 00:21:37,680 --> 00:21:41,160 Speaker 1: prominent tech publication on substack, signed onto an open letter 451 00:21:41,200 --> 00:21:44,600 Speaker 1: threatening to quit the platform if substack took no action. 452 00:21:45,000 --> 00:21:47,960 Speaker 1: So this has been an ongoing problem. The Atlantic reported 453 00:21:48,000 --> 00:21:52,080 Speaker 1: that prominent white supremacists were using the platform substack not 454 00:21:52,240 --> 00:21:54,800 Speaker 1: just to spread their message, but also to earn money. 455 00:21:54,920 --> 00:21:57,760 Speaker 1: The Atlantic reported that Richard Spencer, who you might remember 456 00:21:58,080 --> 00:22:00,320 Speaker 1: getting punched in the face the last time he was 457 00:22:00,359 --> 00:22:03,560 Speaker 1: here in my hometown of Washington, DC, which, by the way, 458 00:22:04,200 --> 00:22:08,040 Speaker 1: anybody like ask somebody who is in kind of or 459 00:22:08,080 --> 00:22:11,240 Speaker 1: at least at that time sort of like more sort 460 00:22:11,240 --> 00:22:15,000 Speaker 1: of like lefty radical protest circles. Everybody that I knew 461 00:22:15,320 --> 00:22:17,600 Speaker 1: knew somebody who was claiming to be the guy who 462 00:22:17,680 --> 00:22:19,840 Speaker 1: punched Richard Spencer because he was wearing he was like 463 00:22:19,880 --> 00:22:23,240 Speaker 1: a lot like wearing all blacks, So like nobody knows 464 00:22:23,000 --> 00:22:24,239 Speaker 1: who that person was. 465 00:22:24,720 --> 00:22:27,080 Speaker 2: I am reading it's actually me, It was actually me. 466 00:22:29,800 --> 00:22:34,080 Speaker 2: We are all all the puncher. 467 00:22:34,160 --> 00:22:37,840 Speaker 1: But Richard Spencer now is making like after being deplatformed 468 00:22:37,880 --> 00:22:41,040 Speaker 1: from most other social media platforms. He is making at 469 00:22:41,160 --> 00:22:44,679 Speaker 1: least nine thousand dollars a year and potentially many times 470 00:22:44,720 --> 00:22:47,919 Speaker 1: that from his Substack newsletter. And he is not alone 471 00:22:48,520 --> 00:22:51,800 Speaker 1: because Substack the company, takes ten percent of a cut 472 00:22:51,800 --> 00:22:54,240 Speaker 1: of any money earned on the platform from subscription fees. 473 00:22:54,520 --> 00:22:58,720 Speaker 1: Substack is essentially profiting from white supremacists who are also 474 00:22:58,880 --> 00:23:02,800 Speaker 1: breaking their terms of service that that explicitly bans attempts 475 00:23:02,800 --> 00:23:06,400 Speaker 1: to publish content or fun initiatives that incite violence based 476 00:23:06,440 --> 00:23:09,760 Speaker 1: on protected classes. So in the letter that these prominent 477 00:23:09,800 --> 00:23:13,639 Speaker 1: writers and on Substack published, they said, from our perspective, 478 00:23:13,720 --> 00:23:17,199 Speaker 1: as Substack publishers, it is unfathomable that someone with a 479 00:23:17,240 --> 00:23:20,960 Speaker 1: swastika avatar, who writes about quote the Jewish question, who 480 00:23:20,960 --> 00:23:23,800 Speaker 1: promotes the great Replacement theory, could be given the tools 481 00:23:23,800 --> 00:23:26,720 Speaker 1: to succeed on your platform, and yet you've been unable 482 00:23:26,760 --> 00:23:30,800 Speaker 1: to adequately explain your position. The letters reads, Substack has 483 00:23:30,840 --> 00:23:34,000 Speaker 1: always kind of had this public positioning where they were 484 00:23:34,000 --> 00:23:36,960 Speaker 1: going to treat content with a re content moderation with 485 00:23:37,040 --> 00:23:41,760 Speaker 1: a really light touch. However, as the letter accurately points out, 486 00:23:42,119 --> 00:23:45,040 Speaker 1: that is not true. They do choose to moderate some 487 00:23:45,240 --> 00:23:49,840 Speaker 1: content they including spam sides and newsletters written by sex workers, 488 00:23:49,840 --> 00:23:52,240 Speaker 1: and so it's they can't really be like, oh well, 489 00:23:52,240 --> 00:23:55,080 Speaker 1: we just allow everybody to express themselves, like we don't 490 00:23:55,119 --> 00:23:57,640 Speaker 1: want to pick and choose like people. Anybody can show 491 00:23:57,720 --> 00:24:00,159 Speaker 1: up here. Why do they not allow content written and 492 00:24:00,160 --> 00:24:03,440 Speaker 1: buy sex workers on their platform. Hamish mackenzie, a Subsetet 493 00:24:03,520 --> 00:24:06,600 Speaker 1: co found or, defended the company's position back in December, saying, 494 00:24:06,880 --> 00:24:08,280 Speaker 1: I just want to make it clear that we don't 495 00:24:08,320 --> 00:24:11,040 Speaker 1: like nazis either. We wish no one held those views, 496 00:24:11,119 --> 00:24:13,760 Speaker 1: but some people do hold those and other extreme views. 497 00:24:13,800 --> 00:24:15,879 Speaker 1: He wrote, so basically being like, oh well, we're just 498 00:24:15,880 --> 00:24:18,919 Speaker 1: publishing the views people have. But again you might not 499 00:24:19,280 --> 00:24:22,280 Speaker 1: agree that with the profession of sex work, but sex 500 00:24:22,320 --> 00:24:24,639 Speaker 1: workers exist in society. So that if that is your 501 00:24:24,760 --> 00:24:28,119 Speaker 1: argument that we're just you know, platforming the views that 502 00:24:28,160 --> 00:24:30,199 Speaker 1: people have and we're not making any kind of like 503 00:24:30,240 --> 00:24:33,239 Speaker 1: statement about those views, why is that clearly you are 504 00:24:33,280 --> 00:24:35,480 Speaker 1: picking and choosing the views that you that you choose 505 00:24:35,480 --> 00:24:36,159 Speaker 1: the platform. 506 00:24:36,720 --> 00:24:36,960 Speaker 2: Yeah. 507 00:24:37,119 --> 00:24:41,320 Speaker 3: No, I'm going to like, honestly, and this is coming 508 00:24:41,359 --> 00:24:46,240 Speaker 3: from my again twenty something like just sort of whatever 509 00:24:46,359 --> 00:24:48,480 Speaker 3: experience I have, I think, like this whole issue or something, 510 00:24:48,480 --> 00:24:50,000 Speaker 3: I've kind of gone back and forth about a lot, 511 00:24:50,000 --> 00:24:51,400 Speaker 3: because yeah, it is like one of those things where 512 00:24:51,400 --> 00:24:55,320 Speaker 3: I'm like, yeah, free speech want but like also obviously 513 00:24:55,520 --> 00:24:58,919 Speaker 3: like I don't want neo Nazis. I don't want like 514 00:24:59,040 --> 00:25:03,639 Speaker 3: explicit you know, super right wing racist whatevers and of 515 00:25:03,680 --> 00:25:07,600 Speaker 3: Bhoba people. But yeah, but I feel like, oh, that 516 00:25:07,760 --> 00:25:10,320 Speaker 3: is side. That is side, whatever your beliefs are. If 517 00:25:10,359 --> 00:25:13,200 Speaker 3: you are as a company censoring people that, yeah, our 518 00:25:13,359 --> 00:25:16,879 Speaker 3: sex workers are doing stuff that you know, maybe not 519 00:25:16,960 --> 00:25:20,639 Speaker 3: even like leftists and like political sense, but sort of 520 00:25:20,680 --> 00:25:22,959 Speaker 3: on the opposite set, like sort of side of like 521 00:25:23,960 --> 00:25:26,760 Speaker 3: whose voices are being heard that you're censoring them, You're 522 00:25:26,760 --> 00:25:31,040 Speaker 3: not censoring, Like, that's not an issue of we're censoring 523 00:25:31,119 --> 00:25:33,959 Speaker 3: versus we're not censoring. That's just an issue of favoring 524 00:25:34,240 --> 00:25:37,640 Speaker 3: the neo Nazis over you know, anybody just trying. 525 00:25:37,480 --> 00:25:38,720 Speaker 2: To talk about their life experience. 526 00:25:39,080 --> 00:25:41,879 Speaker 1: Well exactly that like that's what these writers have said. 527 00:25:41,920 --> 00:25:45,240 Speaker 1: That it is not just that these like neo Nazi 528 00:25:45,280 --> 00:25:49,240 Speaker 1: white supremacists folks are being allowed to write on the platform. 529 00:25:49,359 --> 00:25:53,560 Speaker 1: At times, the platform has actually promoted that content. According 530 00:25:53,600 --> 00:25:56,360 Speaker 1: to the Atlantic, Patrick Casey, a leader of a now 531 00:25:56,440 --> 00:25:59,879 Speaker 1: defunct neo Nazi group who has a subseac newsletter you 532 00:26:00,000 --> 00:26:03,040 Speaker 1: this is a substat recommendation feature to promote seven other 533 00:26:03,119 --> 00:26:07,440 Speaker 1: extremist newsletters. And so they'd also describe how, you know, substack, 534 00:26:07,560 --> 00:26:09,359 Speaker 1: if you make a certain amount of money to give 535 00:26:09,359 --> 00:26:12,240 Speaker 1: you a bed and like things like that, they are 536 00:26:12,960 --> 00:26:16,320 Speaker 1: using those things to I would argue, promote as a 537 00:26:16,359 --> 00:26:19,160 Speaker 1: company these beliefs and make money off of these beliefs 538 00:26:19,200 --> 00:26:21,040 Speaker 1: that they then say like, oh, well, we don't support it. 539 00:26:21,080 --> 00:26:22,439 Speaker 1: If you don't support it, why are you taking a 540 00:26:22,480 --> 00:26:26,040 Speaker 1: ten percent cut? Like that's but a very literal definition 541 00:26:26,080 --> 00:26:26,959 Speaker 1: of supporting it. 542 00:26:27,119 --> 00:26:30,040 Speaker 3: Yeah, absolutely, And that's not you know, it's not like, oh, 543 00:26:30,040 --> 00:26:31,879 Speaker 3: we just have this platform and people are writing on 544 00:26:31,920 --> 00:26:33,879 Speaker 3: it and we have no say on what they're writing. 545 00:26:33,920 --> 00:26:35,440 Speaker 2: Like at that at that point, you're complicit. 546 00:26:35,960 --> 00:26:39,199 Speaker 3: You're literally you're essentially what like on the on the 547 00:26:39,240 --> 00:26:43,920 Speaker 3: board of the like neo nazi publication, you know, exactly. 548 00:26:44,600 --> 00:26:47,720 Speaker 1: So after this outcry from these writers who submitted this 549 00:26:47,720 --> 00:26:51,200 Speaker 1: this letter, Substack this week did announce that they were 550 00:26:51,280 --> 00:26:55,040 Speaker 1: removing five existing publications that they said, we're breaking the 551 00:26:55,080 --> 00:26:58,080 Speaker 1: platform's rules with what they were posting. They said, if 552 00:26:58,080 --> 00:27:00,520 Speaker 1: and when we become aware of other content that violates 553 00:27:00,520 --> 00:27:04,280 Speaker 1: our guidelines, we will take appropriate action. They added, we 554 00:27:04,320 --> 00:27:06,840 Speaker 1: are actively working on more reporting tools that can be 555 00:27:06,960 --> 00:27:09,800 Speaker 1: used to flag content that potentially violates our guidelines, and 556 00:27:09,840 --> 00:27:12,399 Speaker 1: we will continue working on tools for user moderations so 557 00:27:12,440 --> 00:27:15,439 Speaker 1: Subtec users can set and refine the terms of their 558 00:27:15,480 --> 00:27:19,040 Speaker 1: own experience on the platform. And yeah, I just got 559 00:27:19,040 --> 00:27:22,399 Speaker 1: to say, like, there is an old adage in content 560 00:27:22,480 --> 00:27:25,760 Speaker 1: moderation of online spaces, which is if you don't explicitly 561 00:27:25,880 --> 00:27:29,239 Speaker 1: and explicitly and specifically and loudly say that you are 562 00:27:29,240 --> 00:27:32,159 Speaker 1: not a place for Nazis to gather online, that is 563 00:27:32,200 --> 00:27:34,240 Speaker 1: how you get Nazis. And if you don't want Nazis, 564 00:27:34,280 --> 00:27:36,920 Speaker 1: you have to say no Nazis. And I think this 565 00:27:36,960 --> 00:27:40,159 Speaker 1: really proves it. Casey Newton of platform or one of 566 00:27:40,160 --> 00:27:43,960 Speaker 1: the big tech outlets that was behind this letter said 567 00:27:44,480 --> 00:27:47,280 Speaker 1: the Nazis did not commit the only atrocity in history, 568 00:27:47,320 --> 00:27:49,960 Speaker 1: but a platform that declines to remove their supporters is 569 00:27:50,000 --> 00:27:54,160 Speaker 1: telling you something important about itself. And I completely agree, 570 00:27:54,440 --> 00:27:58,480 Speaker 1: and honestly, like I am usually somebody who will take 571 00:27:58,520 --> 00:28:00,960 Speaker 1: any excuse to frame some thing as a win, like 572 00:28:01,040 --> 00:28:04,119 Speaker 1: even if it's a small win, something about this doesn't 573 00:28:04,119 --> 00:28:07,679 Speaker 1: smell right to me right, like removing five newsletters and 574 00:28:07,720 --> 00:28:10,480 Speaker 1: then being like, oh, well, you know what, years later 575 00:28:10,640 --> 00:28:13,760 Speaker 1: and after outcry and being pushed by these writers who 576 00:28:13,840 --> 00:28:17,400 Speaker 1: spoke up, We're finally going to do the bare minimum 577 00:28:17,560 --> 00:28:22,240 Speaker 1: of enforcing our existing terms of service and removing five newsletters. 578 00:28:22,359 --> 00:28:24,359 Speaker 1: They don't even say which newsletters were removed, and so 579 00:28:24,760 --> 00:28:28,880 Speaker 1: it just feels so low effort to me that it's 580 00:28:28,880 --> 00:28:30,440 Speaker 1: almost hard for me to call it a win. Like 581 00:28:30,480 --> 00:28:33,080 Speaker 1: I'm glad that these writers spoke up, and I'm grateful 582 00:28:33,080 --> 00:28:35,840 Speaker 1: for their organizing work to push them in the right direction, 583 00:28:35,960 --> 00:28:39,080 Speaker 1: But like that said Substack, like get it together. This 584 00:28:39,160 --> 00:28:42,360 Speaker 1: is such such a low it feels so low effort 585 00:28:42,400 --> 00:28:43,800 Speaker 1: that it feels barely worth aplauding. 586 00:28:44,240 --> 00:28:47,920 Speaker 3: Yeah. Also, I don't know the whole idea of users 587 00:28:47,960 --> 00:28:50,960 Speaker 3: setting in their own terms for what their users have 588 00:28:51,040 --> 00:28:53,280 Speaker 3: the option to change what they want to see. It's like, okay, 589 00:28:53,320 --> 00:28:56,600 Speaker 3: but then you're not really solving the problem because you're 590 00:28:56,760 --> 00:28:59,200 Speaker 3: putting it on the individual to like put what I 591 00:28:59,200 --> 00:29:01,800 Speaker 3: don't want to see nazis, which I feel like that. 592 00:29:01,800 --> 00:29:03,120 Speaker 2: Should be given. Yeah. 593 00:29:03,120 --> 00:29:05,320 Speaker 3: And also I mean going back to my state room before, 594 00:29:05,400 --> 00:29:08,320 Speaker 3: like when I say, like whatever preseeds obviously like Nazis 595 00:29:08,320 --> 00:29:12,720 Speaker 3: are bad. That's a pretty like easy station. And it's 596 00:29:12,760 --> 00:29:19,200 Speaker 3: really weird, Like, I know, it's crazy, my gay Jewish 597 00:29:19,200 --> 00:29:20,760 Speaker 3: self is coming out against the Nazis. 598 00:29:20,760 --> 00:29:24,600 Speaker 2: I guess, like I don't know, it's been so weird 599 00:29:24,600 --> 00:29:25,440 Speaker 2: the last couple of years. 600 00:29:25,480 --> 00:29:27,720 Speaker 3: Saying that has just become like it's like like that 601 00:29:27,760 --> 00:29:29,800 Speaker 3: should be the bare minimum statement and you can't be 602 00:29:29,920 --> 00:29:32,320 Speaker 3: like Nazis are bad. It's like whoa, that's I don't 603 00:29:32,320 --> 00:29:37,920 Speaker 3: know anyways, Yeah, like that that it just it just 604 00:29:38,040 --> 00:29:40,720 Speaker 3: it seems like it's not really going to fix the 605 00:29:40,720 --> 00:29:43,640 Speaker 3: problem if you're putting it on the users, because you know, 606 00:29:43,720 --> 00:29:47,360 Speaker 3: one things that the og Nazis were really good at 607 00:29:47,520 --> 00:29:51,920 Speaker 3: was propaganda and you know, sort of sanitizing their beliefs 608 00:29:52,000 --> 00:29:54,080 Speaker 3: or packaging their beliefs in a way that like the 609 00:29:54,120 --> 00:29:55,960 Speaker 3: average person would agree with it. 610 00:29:56,040 --> 00:29:59,000 Speaker 2: And you know, this is just giving them another avenue 611 00:29:59,040 --> 00:29:59,440 Speaker 2: to do that. 612 00:30:00,040 --> 00:30:03,040 Speaker 1: Yes, And I don't think that you know, your average 613 00:30:03,040 --> 00:30:05,360 Speaker 1: person who just wants to read stuff on subsack or 614 00:30:05,440 --> 00:30:08,400 Speaker 1: write on substack about their life or whatever should be 615 00:30:08,520 --> 00:30:10,640 Speaker 1: tasked with that Like that's a that like that is 616 00:30:10,640 --> 00:30:14,800 Speaker 1: a that is an organizational and a structural problem. And 617 00:30:14,840 --> 00:30:16,200 Speaker 1: I don't think, as you said, I don't think it 618 00:30:16,200 --> 00:30:19,640 Speaker 1: should be left up to people to have to filter 619 00:30:19,840 --> 00:30:23,440 Speaker 1: out that level of extremist content. Right. Obviously, if there's 620 00:30:23,480 --> 00:30:25,160 Speaker 1: like stuff that you don't want to see, it's good 621 00:30:25,160 --> 00:30:28,560 Speaker 1: for platforms to allow you customization. But this is so 622 00:30:28,680 --> 00:30:32,000 Speaker 1: far beyond a typical customization problem. Like clearly it is 623 00:30:32,000 --> 00:30:36,400 Speaker 1: an organizational structural problem that the powers that be at 624 00:30:36,480 --> 00:30:39,640 Speaker 1: subsect have to sort out. And like it is, if 625 00:30:39,640 --> 00:30:42,040 Speaker 1: you are not being paid by subsack, it should not 626 00:30:42,120 --> 00:30:45,360 Speaker 1: be your responsibility to figure out how to keep Nazi 627 00:30:45,400 --> 00:30:48,160 Speaker 1: content off of the platform, Like that is a that 628 00:30:48,280 --> 00:30:50,680 Speaker 1: is that burden should not be on us as the user, 629 00:30:50,720 --> 00:30:52,880 Speaker 1: like that should not be on the user end. And 630 00:30:53,120 --> 00:30:56,400 Speaker 1: speaking of hate speech on these platforms, so one of 631 00:30:56,440 --> 00:30:59,840 Speaker 1: my New Year's resolutions was to stop using Twitter so much. 632 00:31:00,840 --> 00:31:03,440 Speaker 1: TBD on how it is going so far, not well, 633 00:31:04,400 --> 00:31:08,200 Speaker 1: but that will probably mean spending more time on alternatives 634 00:31:08,240 --> 00:31:10,640 Speaker 1: like Threads. When we first checked in on Threads when 635 00:31:10,640 --> 00:31:13,880 Speaker 1: it launched, it felt like very brand safe to me, 636 00:31:13,920 --> 00:31:15,800 Speaker 1: and just I didn't feel like a cool platform. I 637 00:31:15,800 --> 00:31:17,560 Speaker 1: haven't spent a lot of time there yet, so like 638 00:31:17,680 --> 00:31:20,719 Speaker 1: maybe that has changed. But one thing that has changed 639 00:31:20,760 --> 00:31:23,600 Speaker 1: on Threads is that people are reporting the platform is 640 00:31:23,840 --> 00:31:28,720 Speaker 1: flooded with more transphobic, pro life, antie porn, and islamophobic posts. 641 00:31:29,000 --> 00:31:31,880 Speaker 1: So hearing this, I logged in for the first time 642 00:31:31,920 --> 00:31:33,840 Speaker 1: in ages, and it didn't take long for me to 643 00:31:33,880 --> 00:31:36,040 Speaker 1: see this post from a user that I did not 644 00:31:36,160 --> 00:31:39,600 Speaker 1: follow and certainly like, don't follow any accounts that would 645 00:31:39,600 --> 00:31:42,240 Speaker 1: have recommended this to me. It was a tweet that 646 00:31:42,280 --> 00:31:45,200 Speaker 1: just said it's okay to be white. It's okay to 647 00:31:45,240 --> 00:31:47,920 Speaker 1: be white, like I saw bunch. Did you see that? 648 00:31:48,000 --> 00:31:49,960 Speaker 2: Oh my god, yeah I did. 649 00:31:50,000 --> 00:31:52,360 Speaker 1: So, just a really weird post, right. 650 00:31:52,640 --> 00:31:55,120 Speaker 3: Yeah, No, this is I've been having the same experience 651 00:31:55,120 --> 00:31:58,400 Speaker 3: of like the only time because I also like, I 652 00:31:58,400 --> 00:31:59,920 Speaker 3: feel like I got the same sort of thing with Threads, 653 00:32:00,120 --> 00:32:01,840 Speaker 3: like I made it when I made a Threads account, 654 00:32:01,880 --> 00:32:04,520 Speaker 3: when I came out it's gonnact to my Instagram and everything, 655 00:32:04,640 --> 00:32:06,680 Speaker 3: but I am not. The only times I've opened it 656 00:32:06,720 --> 00:32:09,120 Speaker 3: is when I get in the Instagram feed, I'll get 657 00:32:09,120 --> 00:32:12,080 Speaker 3: like baited into clicking up like hate clicking on stuff 658 00:32:12,120 --> 00:32:14,680 Speaker 3: because yeah, I'll get like all the there's that thing 659 00:32:14,720 --> 00:32:17,640 Speaker 3: now where it shows you like recommended threads and they're 660 00:32:17,680 --> 00:32:20,640 Speaker 3: always like the most like inflammatory, like there's been a 661 00:32:20,720 --> 00:32:23,640 Speaker 3: lot of Islamophobic stuff or like very racist stuff that 662 00:32:23,640 --> 00:32:25,640 Speaker 3: I've seen, and then like that can't be real, And 663 00:32:25,680 --> 00:32:27,640 Speaker 3: then I'll click on it to like see the whole 664 00:32:27,680 --> 00:32:28,920 Speaker 3: thing and whatever. 665 00:32:29,000 --> 00:32:31,640 Speaker 2: It's very like rage baby kind of stuff. 666 00:32:31,680 --> 00:32:34,320 Speaker 3: But yeah, no, that's the only times I've opened thriads 667 00:32:34,360 --> 00:32:36,960 Speaker 3: have been to. 668 00:32:35,880 --> 00:32:38,080 Speaker 2: See those see those tweets in full and be like 669 00:32:38,160 --> 00:32:38,920 Speaker 2: is this really. 670 00:32:38,760 --> 00:32:43,400 Speaker 1: Something as Joey, Oh my god, I will this will 671 00:32:43,400 --> 00:32:45,120 Speaker 1: be the rest of the episode. But when I told 672 00:32:45,160 --> 00:32:48,320 Speaker 1: what I said up top that one of my plans 673 00:32:48,360 --> 00:32:52,000 Speaker 1: for the new year was to spend less time getting 674 00:32:52,080 --> 00:32:54,880 Speaker 1: bent out of shape about content like this, it is. 675 00:32:54,960 --> 00:32:57,560 Speaker 1: It was inspired in part by that that I know 676 00:32:57,680 --> 00:32:59,840 Speaker 1: exactly what you're talking about on Instagram where you're like, 677 00:33:00,040 --> 00:33:02,560 Speaker 1: who is saying what now? Then you click in and 678 00:33:02,600 --> 00:33:05,400 Speaker 1: if you're me, then you spend your whole day being like, 679 00:33:05,440 --> 00:33:07,640 Speaker 1: well this can't possibly, Like I needs to resources like 680 00:33:07,680 --> 00:33:09,960 Speaker 1: what's going on here? Before you know what, your knee 681 00:33:09,960 --> 00:33:12,920 Speaker 1: deep in some weird ass profile being like like what 682 00:33:13,000 --> 00:33:15,280 Speaker 1: is this? What is this ridiculousness that I'm looking at? 683 00:33:15,520 --> 00:33:18,719 Speaker 1: On winter break when we were off, I spent an 684 00:33:18,840 --> 00:33:20,800 Speaker 1: entire half of day. I lost a whole half a 685 00:33:20,880 --> 00:33:24,640 Speaker 1: day to that process, and I was like, they got me. 686 00:33:24,920 --> 00:33:28,280 Speaker 1: It's it's total engagement rage bait. They want you to click, 687 00:33:28,600 --> 00:33:30,720 Speaker 1: maybe they want you to click by accident, and yeah, 688 00:33:30,720 --> 00:33:32,840 Speaker 1: I just it just it doesn't feel good, Like it's 689 00:33:32,920 --> 00:33:38,240 Speaker 1: like a crappy It feels crappy to have that experience online, 690 00:33:38,240 --> 00:33:41,080 Speaker 1: and it feels like more and more like that's what 691 00:33:41,400 --> 00:33:45,840 Speaker 1: platforms have to offer you, is engagement farming and rage 692 00:33:45,920 --> 00:33:49,959 Speaker 1: baiting and then like exploiting your accidental click into something 693 00:33:50,120 --> 00:33:55,960 Speaker 1: with shocking, inflammatory content. It is infuriating. But I will 694 00:33:55,960 --> 00:34:00,320 Speaker 1: say that Facebook meta they are aware of this problem. 695 00:34:00,400 --> 00:34:03,520 Speaker 1: So in a statement to Mashable, Facebook acknowledge that some 696 00:34:03,720 --> 00:34:06,840 Speaker 1: users are being shown this type of repetitive, low quality content, 697 00:34:06,960 --> 00:34:09,600 Speaker 1: saying we want people to have a positive experience on 698 00:34:09,680 --> 00:34:12,560 Speaker 1: Threads and we're continually making improvements to what people see 699 00:34:12,560 --> 00:34:14,800 Speaker 1: on the app, in addition to removing content to violates 700 00:34:14,800 --> 00:34:17,560 Speaker 1: our community guidelines. We're aware that some people are seeing 701 00:34:17,560 --> 00:34:20,120 Speaker 1: this repetitive, low quality content they may not be interested in. 702 00:34:20,400 --> 00:34:22,880 Speaker 1: We're taking steps to address it. So I've read a 703 00:34:22,920 --> 00:34:27,200 Speaker 1: few responses on this from Adam Mosseerri Comma who some 704 00:34:27,320 --> 00:34:30,239 Speaker 1: listeners might remember as one of my personal enemies. But 705 00:34:30,800 --> 00:34:33,160 Speaker 1: all of his comments about it are like so general. 706 00:34:33,160 --> 00:34:34,480 Speaker 1: They're kind of like, oh, we're doing our best to 707 00:34:34,480 --> 00:34:37,000 Speaker 1: get it off the platform, YadA, YadA, YadA. But it 708 00:34:37,080 --> 00:34:41,680 Speaker 1: is clear that you need to have very clear rules, 709 00:34:41,840 --> 00:34:45,480 Speaker 1: very clear enforcement of those rules, and a way to 710 00:34:46,440 --> 00:34:49,839 Speaker 1: find it when those pieces of content are breaking the rules, 711 00:34:49,880 --> 00:34:52,040 Speaker 1: when users are doing it in a repetitive way, Like 712 00:34:52,120 --> 00:34:54,840 Speaker 1: it is not easy to run a text based social 713 00:34:54,880 --> 00:34:57,120 Speaker 1: media platform. I'll be the first person to admit it. 714 00:34:57,040 --> 00:35:01,839 Speaker 1: It is a paygrade far above me. However, it just yeah, 715 00:35:02,040 --> 00:35:05,040 Speaker 1: they've got to get it together because nobody wants to 716 00:35:05,200 --> 00:35:09,240 Speaker 1: have the social platforms where it just feels scammy or baby. 717 00:35:09,760 --> 00:35:12,879 Speaker 1: And I just think that most people have had their 718 00:35:13,000 --> 00:35:15,879 Speaker 1: fill of experiences that feel that way online right now. 719 00:35:16,360 --> 00:35:19,719 Speaker 3: Yeah, No, absolutely, because like especially looking at like, yeah, 720 00:35:19,719 --> 00:35:21,600 Speaker 3: the threads that would pop up on my feet that 721 00:35:21,600 --> 00:35:23,279 Speaker 3: would get recommended to me, there were all these things 722 00:35:23,280 --> 00:35:27,120 Speaker 3: that I was like, if you're taking my data and 723 00:35:27,160 --> 00:35:30,040 Speaker 3: you're like understanding the type of person that I am 724 00:35:30,080 --> 00:35:32,759 Speaker 3: and things I'm interested in and what my political beliefs are, like, 725 00:35:32,800 --> 00:35:35,560 Speaker 3: this is very clearly the opposite of that, like, is 726 00:35:35,640 --> 00:35:37,239 Speaker 3: the point of these just to get me to like 727 00:35:37,480 --> 00:35:40,080 Speaker 3: click on it because I'm yeah, like rage bait or 728 00:35:40,160 --> 00:35:45,359 Speaker 3: like confused, bait me into clicking on something I look, 729 00:35:45,400 --> 00:35:49,040 Speaker 3: which you know as a marketing strategy to get people 730 00:35:49,040 --> 00:35:50,520 Speaker 3: to use your app works. 731 00:35:51,000 --> 00:35:52,960 Speaker 2: Uh that make sound it's not very ethical. 732 00:35:53,960 --> 00:35:57,359 Speaker 3: Yeah, I definitely Like every time like that happens, I'll 733 00:35:57,400 --> 00:35:59,439 Speaker 3: take a second and like scroll, startscrolling through their eads 734 00:35:59,480 --> 00:36:01,360 Speaker 3: and be like when it's not first, I don't know 735 00:36:01,440 --> 00:36:03,080 Speaker 3: it is like the same rhymem Like I still feel 736 00:36:03,080 --> 00:36:07,120 Speaker 3: like it's like the social media platform itself hasn't really 737 00:36:07,440 --> 00:36:09,440 Speaker 3: like there's no real reason for me to go on 738 00:36:09,520 --> 00:36:12,240 Speaker 3: in otherwise, So it's weird. 739 00:36:12,440 --> 00:36:13,600 Speaker 2: It's a weird situation. 740 00:36:14,520 --> 00:36:18,600 Speaker 1: Yeah, I've come to see myself as someone who has 741 00:36:18,680 --> 00:36:25,960 Speaker 1: gotten more susceptible to the kind of rage, confusion, engagement 742 00:36:26,000 --> 00:36:29,400 Speaker 1: bait that you just described. I know, like I know 743 00:36:29,480 --> 00:36:31,680 Speaker 1: it when I see it, and I almost feel like 744 00:36:31,840 --> 00:36:36,280 Speaker 1: the more learned I am about that kind of content somehow, 745 00:36:36,280 --> 00:36:38,920 Speaker 1: the more it gets me on Twitter. Like, if you 746 00:36:39,000 --> 00:36:41,759 Speaker 1: are a black person, a young black person who is 747 00:36:41,800 --> 00:36:44,600 Speaker 1: on Twitter, you probably are familiar with a certain kind 748 00:36:44,680 --> 00:36:48,560 Speaker 1: of post that you know it is just like I 749 00:36:48,600 --> 00:36:50,360 Speaker 1: can't I can't describe it, but you know when you 750 00:36:50,400 --> 00:36:52,680 Speaker 1: see it where it'll be like, there's there's a video 751 00:36:52,719 --> 00:36:56,880 Speaker 1: recently of a of three black women knocking on a 752 00:36:56,960 --> 00:36:59,200 Speaker 1: door at like knocking on a door of an apartment, 753 00:36:59,280 --> 00:37:02,600 Speaker 1: and the caps on Twitter was like, this girl was 754 00:37:02,680 --> 00:37:06,320 Speaker 1: out until five am and her man changed the locks 755 00:37:06,360 --> 00:37:09,080 Speaker 1: on her. What do you all think about this? And 756 00:37:09,120 --> 00:37:11,600 Speaker 1: everybody is like, oh, like, why is it bad to 757 00:37:11,640 --> 00:37:13,959 Speaker 1: go out at five am? And then people will being like, yeah, 758 00:37:14,000 --> 00:37:17,120 Speaker 1: like she deserves it, and something about those kinds of 759 00:37:17,160 --> 00:37:20,319 Speaker 1: posts where it's oh, it's always something like very inflammatory. 760 00:37:20,320 --> 00:37:22,040 Speaker 1: It might not even be true. It might be like 761 00:37:22,080 --> 00:37:24,200 Speaker 1: a skit that people are doing. That's a whole other 762 00:37:24,239 --> 00:37:29,280 Speaker 1: episode about how people are making skits, putting them online 763 00:37:29,320 --> 00:37:32,160 Speaker 1: as if they have been filmed, and then breaking in 764 00:37:32,200 --> 00:37:35,879 Speaker 1: that sweet, sweet engagement when people react to it. I could, 765 00:37:35,920 --> 00:37:37,440 Speaker 1: I mean, we should do a whole episode on it, 766 00:37:37,480 --> 00:37:40,400 Speaker 1: because it's a common thing. But for whatever reason I am, 767 00:37:40,520 --> 00:37:42,880 Speaker 1: I am susceptible to that, Like I am not above that. 768 00:37:43,040 --> 00:37:45,279 Speaker 1: I find myself like scrolling the comments and I'm like, 769 00:37:45,640 --> 00:37:49,520 Speaker 1: why am I getting angry about this probably fake scenario 770 00:37:50,200 --> 00:37:52,000 Speaker 1: that has nothing to do with me, Like there's enough 771 00:37:52,120 --> 00:37:53,880 Speaker 1: stuff in the world for me to be reacting to 772 00:37:53,960 --> 00:37:56,640 Speaker 1: in my own life, Like why am I exposing myself 773 00:37:56,640 --> 00:37:58,880 Speaker 1: and getting myself bent out of shape about things that 774 00:37:58,920 --> 00:38:02,279 Speaker 1: are being presented to me specifically to react to. I 775 00:38:02,280 --> 00:38:04,400 Speaker 1: don't know, I'm going off in a tangent here, but 776 00:38:04,960 --> 00:38:07,640 Speaker 1: it's a problem and it doesn't feel good, and I agree. 777 00:38:07,360 --> 00:38:15,480 Speaker 2: With you. 778 00:38:13,040 --> 00:38:13,200 Speaker 3: More. 779 00:38:13,200 --> 00:38:28,560 Speaker 1: After a quick break, let's get right back into it. So, 780 00:38:28,840 --> 00:38:34,200 Speaker 1: speaking of scams and bait on social media and on Twitter, no, 781 00:38:34,560 --> 00:38:39,719 Speaker 1: the SEC did not register bitcoin on securities exchanges. Thank 782 00:38:39,760 --> 00:38:42,520 Speaker 1: you to listener Trisha Friedman for flagging this for us 783 00:38:42,560 --> 00:38:45,400 Speaker 1: to talk about. And if folks have stories that they 784 00:38:45,440 --> 00:38:47,080 Speaker 1: want us to talk about, you can always fly them 785 00:38:47,080 --> 00:38:50,080 Speaker 1: to us. So the official Twitter account of the United 786 00:38:50,080 --> 00:38:54,480 Speaker 1: States Securities and Exchange Commission SEC GUB was compromised this 787 00:38:54,560 --> 00:38:57,560 Speaker 1: week and sent out an unauthorized tweet. This is a 788 00:38:57,560 --> 00:39:00,600 Speaker 1: pretty big deal. Twitter officially says that they investigated and 789 00:39:00,640 --> 00:39:03,240 Speaker 1: determined that it was not a breach of their systems, 790 00:39:03,239 --> 00:39:05,799 Speaker 1: but that somebody got a hold of somebody from the 791 00:39:05,880 --> 00:39:10,400 Speaker 1: SEC's phone, which did not have two factor authentication enabled, 792 00:39:10,440 --> 00:39:12,400 Speaker 1: and that's how they posted the fake tweet. The tweet 793 00:39:12,440 --> 00:39:16,720 Speaker 1: said it does look like a US Securities and Exchange 794 00:39:16,719 --> 00:39:20,360 Speaker 1: Commission tweet. The tweet says, today the SEC grants approval 795 00:39:20,400 --> 00:39:25,320 Speaker 1: for bitcoin ETFs for listing on all registered national securities exchanges. 796 00:39:25,719 --> 00:39:29,239 Speaker 1: The approved bitcoin ETFs will be subject to ongoing surveillance 797 00:39:29,280 --> 00:39:32,960 Speaker 1: and compliance measures to ensure continued investor protection. So this 798 00:39:33,000 --> 00:39:35,399 Speaker 1: would be a big deal had it been true, which 799 00:39:35,400 --> 00:39:38,400 Speaker 1: it's not. But that fake tweet did cause a brief 800 00:39:38,440 --> 00:39:41,360 Speaker 1: spike in bitcoin's value of around two point five percent 801 00:39:41,440 --> 00:39:44,600 Speaker 1: to nearly forty seven eight hundred and seventy dollars before 802 00:39:44,640 --> 00:39:47,480 Speaker 1: crashing around three point two percent from its original price. 803 00:39:47,760 --> 00:39:52,240 Speaker 1: So Twitter, you know, they denied any responsibility for this incident, 804 00:39:52,280 --> 00:39:55,320 Speaker 1: so they say, I don't know, But what is clear 805 00:39:55,440 --> 00:39:58,200 Speaker 1: is that since Musk took over at Twitter, Twitter has 806 00:39:58,320 --> 00:40:01,279 Speaker 1: gotten a lot less secure. This piece in Wired puts 807 00:40:01,280 --> 00:40:04,440 Speaker 1: it really well, they say elon Musk's aggressive slashing of 808 00:40:04,440 --> 00:40:07,239 Speaker 1: the company's staff over the past year raised fears that 809 00:40:07,239 --> 00:40:09,840 Speaker 1: the cuts would leave Twitter unable to secure a platform 810 00:40:10,080 --> 00:40:13,200 Speaker 1: depended on by users that include high profile figures and 811 00:40:13,239 --> 00:40:17,680 Speaker 1: government agencies worldwide. One former Twitter information official sued Musk 812 00:40:17,760 --> 00:40:21,160 Speaker 1: and others for alleged wrongful termination after he was fired 813 00:40:21,200 --> 00:40:23,920 Speaker 1: for He claims in the lawsuit, arguing that the staff 814 00:40:23,960 --> 00:40:26,960 Speaker 1: cuts would interfere with Twitter's ability to comply with a 815 00:40:27,000 --> 00:40:30,360 Speaker 1: twenty eleven concent degree with the US Federal Trade Commission 816 00:40:30,360 --> 00:40:35,239 Speaker 1: to protect user's personal information. And yeah, I gotta say, like, 817 00:40:35,880 --> 00:40:37,719 Speaker 1: one of the reasons I want to use Twitter less 818 00:40:37,800 --> 00:40:40,479 Speaker 1: is that I don't trust that somebody like Elon Musk 819 00:40:40,520 --> 00:40:43,840 Speaker 1: would keep my personal information secure and safe. And it 820 00:40:43,880 --> 00:40:47,239 Speaker 1: makes sense considering how he is, how he acts, how 821 00:40:47,239 --> 00:40:50,800 Speaker 1: he shows up. Wired spoke to Alison Nixon, the chief 822 00:40:50,800 --> 00:40:54,400 Speaker 1: research officer for cybersecurity firm Unit twenty two one B, 823 00:40:54,920 --> 00:40:58,239 Speaker 1: which frequently deals with hackers accounts takeovers. She puts it 824 00:40:58,280 --> 00:41:01,160 Speaker 1: really well. She says, people put a lot of trust 825 00:41:01,239 --> 00:41:03,840 Speaker 1: into an entity that has stopped being a serious company. 826 00:41:04,200 --> 00:41:06,120 Speaker 1: If a government wants to be able to make statements 827 00:41:06,160 --> 00:41:08,400 Speaker 1: that people can rely on, they can't do that on 828 00:41:08,440 --> 00:41:12,759 Speaker 1: a platform that has a targeted account takeover problem. And yeah, like, 829 00:41:12,920 --> 00:41:17,400 Speaker 1: even if Musk is denying any kind of responsibility for this, 830 00:41:17,480 --> 00:41:19,920 Speaker 1: which he is, he certainly is not signaling that he 831 00:41:19,960 --> 00:41:23,120 Speaker 1: is taking it very seriously. Right after the news of 832 00:41:23,440 --> 00:41:27,760 Speaker 1: the SEC's Twitter account being compromised. Broke Musk was joking 833 00:41:27,840 --> 00:41:30,800 Speaker 1: around about it on Twitter, responding to a post jokingly 834 00:41:30,880 --> 00:41:34,240 Speaker 1: being like, oh, what's the SEC's password wrong answers only, 835 00:41:34,680 --> 00:41:39,040 Speaker 1: Musk responds LFG doge to the moon, which is like, 836 00:41:39,160 --> 00:41:42,960 Speaker 1: let's fucking go a joke about doge coin. The jokes, 837 00:41:43,040 --> 00:41:45,759 Speaker 1: I mean, like side note, the jokes aren't even ever 838 00:41:45,880 --> 00:41:48,919 Speaker 1: funny with him, it's it's always some like stupid little 839 00:41:49,040 --> 00:41:52,080 Speaker 1: meme that was like cool five years ago. He gets 840 00:41:52,120 --> 00:41:54,200 Speaker 1: on everything very late. That's another thing about Elon Muska 841 00:41:54,239 --> 00:41:54,719 Speaker 1: can't stand. 842 00:41:55,040 --> 00:41:57,480 Speaker 2: It's the whole doge coin that, like doge is such 843 00:41:57,520 --> 00:42:03,520 Speaker 2: an old means it's old, like, oh my god. 844 00:42:03,440 --> 00:42:06,840 Speaker 3: I'm sure there's like teenagers that have like no idea, 845 00:42:06,920 --> 00:42:09,040 Speaker 3: what that even fucking me? Like, it's so old, that 846 00:42:09,200 --> 00:42:12,399 Speaker 3: is so ridiculous, Oh my god, update your references. 847 00:42:13,239 --> 00:42:16,040 Speaker 1: And Tricia, the listener who flagged this story for us, 848 00:42:16,200 --> 00:42:18,440 Speaker 1: really made a good point, which is that for all 849 00:42:18,440 --> 00:42:21,799 Speaker 1: the handwringing that elected officials do about TikTok, it's such 850 00:42:21,840 --> 00:42:24,560 Speaker 1: a good reminder that TikTok is not the only platform 851 00:42:24,600 --> 00:42:26,480 Speaker 1: out there that folks need to be thinking about when 852 00:42:26,480 --> 00:42:29,279 Speaker 1: it comes to our digital security. You know, there was 853 00:42:29,320 --> 00:42:33,359 Speaker 1: a time where elected officials, campaigns, governments, et cetera. When 854 00:42:33,360 --> 00:42:36,319 Speaker 1: they needed to communicate quickly with us the public, it 855 00:42:36,360 --> 00:42:38,080 Speaker 1: was Twitter that they used, right, And so I don't 856 00:42:38,080 --> 00:42:39,520 Speaker 1: know if that's going to be the case going forward 857 00:42:39,520 --> 00:42:41,640 Speaker 1: with Musk at the Helm, but yeah, it so it 858 00:42:41,719 --> 00:42:45,640 Speaker 1: really does matter that it is a secure platform. And 859 00:42:45,920 --> 00:42:48,799 Speaker 1: speaking of Elon Musk, Joey, is there anything that you 860 00:42:48,840 --> 00:42:50,680 Speaker 1: want to ask me about Elon Musk? 861 00:42:51,280 --> 00:42:54,719 Speaker 3: Ooh, let's see where what like on the second week 862 00:42:55,200 --> 00:43:01,480 Speaker 3: to twenty twenty four, but still so excited to hear 863 00:43:01,920 --> 00:43:03,319 Speaker 3: what has Elan done now? 864 00:43:03,719 --> 00:43:08,800 Speaker 1: Well, Elon Musk is on Twitter dipping into straight race science. 865 00:43:09,400 --> 00:43:13,080 Speaker 1: Oh no, no, It's one of those things that I 866 00:43:13,120 --> 00:43:15,080 Speaker 1: almost didn't want to talk about. So I'm like, oh this, 867 00:43:15,239 --> 00:43:17,799 Speaker 1: I can't stand this guy. But it does connect to 868 00:43:17,880 --> 00:43:20,040 Speaker 1: a lot of the conversation that's going on right now. 869 00:43:20,640 --> 00:43:23,200 Speaker 1: You know, we've done a few episodes on Bill Ackman 870 00:43:23,280 --> 00:43:26,520 Speaker 1: and Christopher Ruffo and their attempts to really create a 871 00:43:26,560 --> 00:43:30,640 Speaker 1: moral panic around DEI diversity equity and inclusion initiatives and 872 00:43:31,040 --> 00:43:35,239 Speaker 1: have had success in getting doctor Claudine Gay ousted from 873 00:43:35,280 --> 00:43:38,560 Speaker 1: her position at Harvard. Well, as y'all know, if it 874 00:43:38,640 --> 00:43:43,080 Speaker 1: is despicable people doing despicable stuff, you already know Elon 875 00:43:43,160 --> 00:43:45,600 Speaker 1: Musk is going to be involved in it in the 876 00:43:45,640 --> 00:43:48,759 Speaker 1: mix somehow. So yesterday he was engaged in with a 877 00:43:48,760 --> 00:43:54,720 Speaker 1: tweet suggesting that historically black college graduates have quote borderline 878 00:43:54,880 --> 00:43:59,400 Speaker 1: intellectual impairment. So this pretty big account on Twitter, eyelash Ho, 879 00:44:00,000 --> 00:44:03,160 Speaker 1: which is account that like really spreads a lot of 880 00:44:03,320 --> 00:44:07,120 Speaker 1: junk race science, this account was talking about this program 881 00:44:07,160 --> 00:44:11,920 Speaker 1: from United Airlines that gives HBCU historically black college students 882 00:44:11,960 --> 00:44:14,880 Speaker 1: opportunities to interview with the company's career development program to 883 00:44:14,880 --> 00:44:18,480 Speaker 1: be pilots. Eyelash Ho says the mean IQ of grads 884 00:44:18,520 --> 00:44:21,720 Speaker 1: from two of those United Airlines HBCU partners is about 885 00:44:21,719 --> 00:44:24,799 Speaker 1: eighty five to ninety based on the average SATs at 886 00:44:24,840 --> 00:44:27,799 Speaker 1: those schools. Side note that's just not true, that's made up. 887 00:44:28,000 --> 00:44:31,680 Speaker 1: He says, the SAT correlates reasonably well with IQ. The 888 00:44:31,880 --> 00:44:35,560 Speaker 1: HBCU IQ averages are within ten points of the threshold 889 00:44:35,560 --> 00:44:39,920 Speaker 1: for what's considered borderline intellectual impairment. I'll add that IQ 890 00:44:40,120 --> 00:44:42,520 Speaker 1: is a well studied and well known predictor of job performance, 891 00:44:42,640 --> 00:44:46,400 Speaker 1: especially for quick processing and mentally demanding occupations like major 892 00:44:46,480 --> 00:44:48,600 Speaker 1: airline pilot. So none of that is correct. 893 00:44:48,640 --> 00:44:50,000 Speaker 2: All that is wrong. True. 894 00:44:51,120 --> 00:44:54,000 Speaker 3: Yeah, first of all, i Q is a totally like 895 00:44:54,640 --> 00:44:59,400 Speaker 3: arbitrary system and bacheloring intologies. Like we've known this for 896 00:44:59,480 --> 00:45:01,759 Speaker 3: a while, people still latch onto it. 897 00:45:01,840 --> 00:45:05,960 Speaker 2: It's like this is how you know, brain smart but 898 00:45:06,120 --> 00:45:10,759 Speaker 2: you know I yeah, no, I. 899 00:45:10,040 --> 00:45:13,799 Speaker 1: So even for as wrong and incorrect and silly and 900 00:45:14,360 --> 00:45:17,000 Speaker 1: junkie and bad science and all the other things as 901 00:45:17,040 --> 00:45:20,600 Speaker 1: that tweet is. Elon Musk basically co signed that tweet. 902 00:45:20,719 --> 00:45:24,120 Speaker 1: He replied, saying it will take an airplane crashing and 903 00:45:24,200 --> 00:45:26,720 Speaker 1: killing hundreds of people for them to change this crazy 904 00:45:26,760 --> 00:45:29,799 Speaker 1: policy of d I E. Did you catch what he 905 00:45:29,840 --> 00:45:33,239 Speaker 1: did there? The policy is d E I, even if 906 00:45:33,280 --> 00:45:35,200 Speaker 1: he makes the letters around so it spells d I 907 00:45:35,360 --> 00:45:37,000 Speaker 1: E die. I don't know. 908 00:45:37,360 --> 00:45:41,239 Speaker 3: Oh so I'm sorry, Elon, Like don't don't don't throw 909 00:45:41,320 --> 00:45:45,680 Speaker 3: stones and glasshouses or whatever like that is you should 910 00:45:45,719 --> 00:45:48,480 Speaker 3: not be the one talking about people crashing and dying 911 00:45:48,520 --> 00:45:48,839 Speaker 3: with her. 912 00:45:49,400 --> 00:45:54,799 Speaker 1: Oh thank you about crashing and dying, homie, Let's get 913 00:45:54,800 --> 00:45:58,600 Speaker 1: your own cars. That is such a good point. Also, 914 00:45:59,120 --> 00:46:01,959 Speaker 1: it's wild to me that they would be like we've 915 00:46:01,960 --> 00:46:05,920 Speaker 1: broke it, like the heure's the pithy slogan. If you 916 00:46:05,960 --> 00:46:08,719 Speaker 1: mix the letters around, it smells die, like get it 917 00:46:08,760 --> 00:46:11,720 Speaker 1: on a billboard, like it's just it's it's the most. 918 00:46:11,719 --> 00:46:14,279 Speaker 3: It's like a uh like in Harry Potter when they 919 00:46:14,440 --> 00:46:17,400 Speaker 3: when like Boltimore it's name, like they turn. 920 00:46:17,239 --> 00:46:21,520 Speaker 2: It around and whatever. You're like, it actually mean says die. 921 00:46:21,680 --> 00:46:22,279 Speaker 2: Oh my god. 922 00:46:23,120 --> 00:46:26,759 Speaker 1: And I just like this whole idea is just so silly, right, 923 00:46:26,920 --> 00:46:33,680 Speaker 1: Like this idea that because you have DEI initiatives side note, 924 00:46:34,160 --> 00:46:36,200 Speaker 1: like I feel like I have been in a position 925 00:46:36,239 --> 00:46:39,200 Speaker 1: of defending DEI the last few weeks because of what's 926 00:46:39,239 --> 00:46:42,719 Speaker 1: going on. But like DEI initiatives are basically toothless. They're 927 00:46:42,719 --> 00:46:46,799 Speaker 1: basically like meaningless. They're basically like they don't really they 928 00:46:46,800 --> 00:46:48,960 Speaker 1: have not really accomplished a lot. I was listening to 929 00:46:49,000 --> 00:46:50,799 Speaker 1: the podcast If Books Could Kill. 930 00:46:51,120 --> 00:46:51,919 Speaker 2: They don't do much. 931 00:46:52,440 --> 00:46:54,520 Speaker 1: I was listening to the podcast If Books Could Kill. 932 00:46:54,840 --> 00:46:56,279 Speaker 1: And one of the points that they made, which is 933 00:46:56,280 --> 00:46:58,000 Speaker 1: a really good one, which is that if you were 934 00:46:58,480 --> 00:47:02,360 Speaker 1: a racist in twenty two for and you really wanted 935 00:47:02,400 --> 00:47:06,239 Speaker 1: your spaces to be all mostly white men and have 936 00:47:06,360 --> 00:47:09,719 Speaker 1: like white straight cists men in power, you should like 937 00:47:09,880 --> 00:47:13,840 Speaker 1: DEI initiatives because they have been so ineffective at actually 938 00:47:14,239 --> 00:47:17,359 Speaker 1: making things more diverse and inclusive that you should be like, wow, 939 00:47:17,400 --> 00:47:20,359 Speaker 1: this is going great, Like I'm going to keep endorsing this. Yeah, right, 940 00:47:20,560 --> 00:47:24,799 Speaker 1: But however, this idea that like DEI initiatives mean that 941 00:47:24,880 --> 00:47:28,839 Speaker 1: you have armies of black folks and brown folks and 942 00:47:29,480 --> 00:47:33,480 Speaker 1: other represented identities working in these places. It's just a fiction, 943 00:47:33,640 --> 00:47:35,960 Speaker 1: but that's what they're So they're basically creating a fiction 944 00:47:36,320 --> 00:47:38,920 Speaker 1: and then turning that fiction into a boogieyman and then 945 00:47:38,960 --> 00:47:42,040 Speaker 1: being like, ooh, I'm scared. I watched this Fox News 946 00:47:42,080 --> 00:47:45,200 Speaker 1: report about the Alaska Airlines flight where the door came off. 947 00:47:45,239 --> 00:47:45,799 Speaker 1: Did you see that? 948 00:47:46,440 --> 00:47:46,960 Speaker 2: I did? 949 00:47:47,719 --> 00:47:52,200 Speaker 1: Terrifying. But in the report on Fox News, they were like, oh, well, 950 00:47:53,280 --> 00:47:57,239 Speaker 1: diversity in pilots is to blame for this, Like it's DEI, 951 00:47:57,560 --> 00:48:00,200 Speaker 1: That's that's what the problem is here. And it's like, damn, 952 00:48:00,239 --> 00:48:03,000 Speaker 1: y'all will really blame us for anything now we're closing 953 00:48:03,080 --> 00:48:08,560 Speaker 1: plane problems, like you will blame us for anything? Hi, Okay, 954 00:48:08,719 --> 00:48:12,799 Speaker 1: Future bridget here popping in solo without Joey because we 955 00:48:13,000 --> 00:48:15,040 Speaker 1: just got an update on a story that I was 956 00:48:15,160 --> 00:48:18,319 Speaker 1: obsessed with even before I ever started doing these news 957 00:48:18,400 --> 00:48:20,319 Speaker 1: round up episodes, so I have to talk about it 958 00:48:20,320 --> 00:48:22,719 Speaker 1: with y'all. I don't think we ever actually talked about 959 00:48:22,719 --> 00:48:24,680 Speaker 1: this story on the newscast, but it's one of the 960 00:48:24,719 --> 00:48:28,360 Speaker 1: more bizarre, not to mention gruesome, tech stories that I 961 00:48:28,360 --> 00:48:31,480 Speaker 1: have heard in a long long time. Today, the online 962 00:48:31,560 --> 00:48:34,960 Speaker 1: auction site eBay has been ordered by a Massachusetts court 963 00:48:34,960 --> 00:48:38,799 Speaker 1: to pay three million dollars in damages after their employees 964 00:48:38,840 --> 00:48:42,439 Speaker 1: and contractors waged what I can only describe as all 965 00:48:42,520 --> 00:48:46,640 Speaker 1: out psychological warfare on a Boston couple. That three million 966 00:48:46,719 --> 00:48:50,000 Speaker 1: dollars is the statutory maximum fine for eBay's charges, and 967 00:48:50,120 --> 00:48:53,400 Speaker 1: in my book, the couple they harassed deserves every penny 968 00:48:53,400 --> 00:48:57,000 Speaker 1: of it. So back in twenty nineteen, eBay senior executives 969 00:48:57,000 --> 00:48:59,960 Speaker 1: were annoyed that this couple, the Steiners, were running an 970 00:49:00,040 --> 00:49:03,319 Speaker 1: newsletter called e Commerce Bites about eBay that was meant 971 00:49:03,360 --> 00:49:05,440 Speaker 1: to give people who sell stuff on eBay and auction 972 00:49:05,560 --> 00:49:08,960 Speaker 1: sites information about the site, happenings with it, news, all 973 00:49:09,000 --> 00:49:12,279 Speaker 1: of that kind of stuff. According to Yahoo, this harassment 974 00:49:12,320 --> 00:49:15,759 Speaker 1: campaign began after Aina Steiner wrote a story in her 975 00:49:15,800 --> 00:49:19,400 Speaker 1: newsletter about a lawsuit brought by eBay that accused Amazon 976 00:49:19,440 --> 00:49:22,200 Speaker 1: of poaching its sellers. According to court records, about a 977 00:49:22,239 --> 00:49:26,120 Speaker 1: half an hour after Aina Steiner published this article, eBay's 978 00:49:26,160 --> 00:49:31,560 Speaker 1: then CEO, Devin Wehning sent another top executive a message saying, quote, 979 00:49:31,760 --> 00:49:34,000 Speaker 1: if you are ever going to take her down, now 980 00:49:34,080 --> 00:49:37,719 Speaker 1: is the time. That executive then sent his message to 981 00:49:37,840 --> 00:49:41,400 Speaker 1: James Ba, who was eBay's senior director of safety and security, 982 00:49:41,640 --> 00:49:45,399 Speaker 1: and he called Aina Steiner a quote bias troll who 983 00:49:45,480 --> 00:49:49,080 Speaker 1: needs to get burned down. After that, I guess Ba 984 00:49:49,200 --> 00:49:51,799 Speaker 1: was like, I am on it because he became the 985 00:49:51,880 --> 00:49:55,680 Speaker 1: ringleader of this harassment and intimidation campaign against the Steiners. 986 00:49:56,040 --> 00:49:59,400 Speaker 1: Side note, also, don't put stuff like this in an email, Like, 987 00:49:59,400 --> 00:50:01,120 Speaker 1: if you're ever going to to do something like this, 988 00:50:01,239 --> 00:50:05,440 Speaker 1: hopefully you're never waiting a crazy campaign of harassment and 989 00:50:05,480 --> 00:50:08,440 Speaker 1: intimidation against anybody. But if you're ever doing something where 990 00:50:08,440 --> 00:50:10,600 Speaker 1: you're like, oh, it might be bad if someone were 991 00:50:10,680 --> 00:50:13,359 Speaker 1: to read these emails discuss it in person, your next 992 00:50:13,360 --> 00:50:15,240 Speaker 1: email should be like, let's talk about it in person. 993 00:50:15,680 --> 00:50:20,160 Speaker 1: So eBay's head of security basically had other staffers send 994 00:50:20,200 --> 00:50:24,160 Speaker 1: disturbing packages to this couple's home, including a bloody pig mask, 995 00:50:24,480 --> 00:50:28,160 Speaker 1: an actual fetal pig, a box of live spiders, a 996 00:50:28,160 --> 00:50:33,200 Speaker 1: box of live cockroaches, pornography, and a funeral wreath, along 997 00:50:33,200 --> 00:50:35,799 Speaker 1: with a book called how to Grieve the Death of 998 00:50:35,840 --> 00:50:39,279 Speaker 1: a Spouse. So like pretty obviously meant to be a 999 00:50:39,400 --> 00:50:43,200 Speaker 1: threat or a way to intimidate them horrifying. The staffers 1000 00:50:43,239 --> 00:50:46,560 Speaker 1: also traveled to their home. They apparently had a plan 1001 00:50:46,719 --> 00:50:48,719 Speaker 1: when they found that their home was locked. They had 1002 00:50:48,719 --> 00:50:51,520 Speaker 1: a plan and tools to break into their home to 1003 00:50:51,640 --> 00:50:55,240 Speaker 1: install a GPS tracking device on their car. They posted 1004 00:50:55,239 --> 00:50:59,279 Speaker 1: the couple's home addressed on Craigslist inviting randos to come 1005 00:50:59,280 --> 00:51:03,160 Speaker 1: to their house for sex parties. These were senior level 1006 00:51:03,239 --> 00:51:06,760 Speaker 1: executives at eBay. Jim bah eBay, senior director of Safety 1007 00:51:06,760 --> 00:51:09,239 Speaker 1: and Security, was the ringleader, and he was sentenced to 1008 00:51:09,280 --> 00:51:11,680 Speaker 1: fifty seven months in prison back in September of twenty 1009 00:51:11,680 --> 00:51:14,239 Speaker 1: twenty two for his role in all of this. Six 1010 00:51:14,320 --> 00:51:17,799 Speaker 1: other employees also face felony convictions for their involvement in this, 1011 00:51:18,040 --> 00:51:22,160 Speaker 1: which include charges of stalking, witness tampering, and obstruction of justice. 1012 00:51:22,600 --> 00:51:26,440 Speaker 1: Acting US Attorney from Massachusetts, Joseph S. Levy said eBay 1013 00:51:26,480 --> 00:51:30,480 Speaker 1: engaged in absolutely horrific criminal conduct and that the company's 1014 00:51:30,520 --> 00:51:34,680 Speaker 1: employees and contractors put victims through pure hell in a 1015 00:51:34,719 --> 00:51:38,839 Speaker 1: petrifying campaign aimed at silencing their reporting and protecting the 1016 00:51:38,840 --> 00:51:43,400 Speaker 1: eBay brand. Imagine doing serious federal jail time because you 1017 00:51:43,400 --> 00:51:47,920 Speaker 1: wanted to protect the brand eBay. So get this. eBay's 1018 00:51:48,000 --> 00:51:50,719 Speaker 1: then CEO, Devin Wenning, the one who was sending those 1019 00:51:50,719 --> 00:51:53,640 Speaker 1: emails about this couple who was harassed, was not criminally 1020 00:51:53,719 --> 00:51:56,320 Speaker 1: charged with anything related to this, but he did step 1021 00:51:56,400 --> 00:51:58,600 Speaker 1: down from eBay in twenty nineteen after it all came 1022 00:51:58,640 --> 00:52:02,840 Speaker 1: to light. But James, the ringleader, his lawyers have said 1023 00:52:02,920 --> 00:52:05,960 Speaker 1: that he faced relentless pressure from Wedning and other top 1024 00:52:06,000 --> 00:52:09,279 Speaker 1: executives to do something about this couple. He led that 1025 00:52:09,320 --> 00:52:12,040 Speaker 1: he was then pushed out by the company when quote 1026 00:52:12,080 --> 00:52:15,200 Speaker 1: an army of outside lawyers descended to conduct an internal 1027 00:52:15,200 --> 00:52:18,759 Speaker 1: investigation aimed at saving the company and its top executives 1028 00:52:18,760 --> 00:52:22,239 Speaker 1: from prosecution. It really does sound like this started at 1029 00:52:22,239 --> 00:52:25,640 Speaker 1: the very tippy top, Like he, like the former CEO, 1030 00:52:25,840 --> 00:52:28,279 Speaker 1: Wedding was on those emails. So it does sound like 1031 00:52:28,680 --> 00:52:31,000 Speaker 1: this started at the very very tippy top, and that 1032 00:52:31,120 --> 00:52:36,000 Speaker 1: this behavior was not just tolerated but expected, but invited, 1033 00:52:36,080 --> 00:52:40,400 Speaker 1: but like all but asked to happen. And guess what 1034 00:52:40,960 --> 00:52:44,880 Speaker 1: that former eBay executive wedding. Even though he has not 1035 00:52:44,960 --> 00:52:47,040 Speaker 1: been charged with a crime, it is not like he 1036 00:52:47,120 --> 00:52:49,879 Speaker 1: is laying low after overseeing a company where this kind 1037 00:52:49,880 --> 00:52:53,160 Speaker 1: of criminal behavior happened. Today, he is the CEO of 1038 00:52:53,239 --> 00:52:56,239 Speaker 1: Symbolically AI, a company that he co founded that is 1039 00:52:56,280 --> 00:52:59,480 Speaker 1: supposed to use AI to help writers and publishers. On 1040 00:52:59,600 --> 00:53:02,520 Speaker 1: his web site, he lists all the great accomplishments that 1041 00:53:02,600 --> 00:53:07,040 Speaker 1: he oversaw when he was at eBay, but conveniently does 1042 00:53:07,080 --> 00:53:12,320 Speaker 1: not list overseeing a criminal harassment campaign. Okay, so we 1043 00:53:12,360 --> 00:53:15,200 Speaker 1: got to talk about this new SAG agreement. This summer, 1044 00:53:15,320 --> 00:53:18,440 Speaker 1: actors and screenwriters were in a big standoff with studios 1045 00:53:18,480 --> 00:53:21,400 Speaker 1: in part over AI in what folks like me called 1046 00:53:21,520 --> 00:53:25,480 Speaker 1: hot labor summer. Basically, the question was could studios use 1047 00:53:25,520 --> 00:53:28,720 Speaker 1: the likeness of actors without their consent to make AI 1048 00:53:28,920 --> 00:53:31,360 Speaker 1: versions of them they could use forever and ever and 1049 00:53:31,400 --> 00:53:35,400 Speaker 1: ever without paying up. Well, this week SAG after the 1050 00:53:35,480 --> 00:53:38,160 Speaker 1: union representing more than one hundred and fifty thousand film 1051 00:53:38,200 --> 00:53:41,400 Speaker 1: and TV performers, announced a deal that sets terms for 1052 00:53:41,440 --> 00:53:44,279 Speaker 1: the use of AI voices in video games. So the 1053 00:53:44,320 --> 00:53:47,560 Speaker 1: deal is with Replica Studios, an AI Voice Technology Company, 1054 00:53:47,600 --> 00:53:51,520 Speaker 1: and it establishes protections around the licensing of digitally replicated voices. 1055 00:53:51,840 --> 00:53:55,680 Speaker 1: Duncan Crabtree Ireland, who is sag Actress National executive director, 1056 00:53:56,000 --> 00:53:58,880 Speaker 1: told NBC News, I think what's really important about this 1057 00:53:58,920 --> 00:54:01,200 Speaker 1: agreement is the fact that it es protection for all 1058 00:54:01,200 --> 00:54:03,640 Speaker 1: performers at all levels in the industry, and the fact 1059 00:54:03,800 --> 00:54:05,719 Speaker 1: is a lot of times performers who may not be 1060 00:54:05,880 --> 00:54:08,799 Speaker 1: famous names really need that protection even more because their 1061 00:54:08,840 --> 00:54:11,880 Speaker 1: bargaining leverage to negotiate those kinds of things individually is 1062 00:54:11,920 --> 00:54:14,400 Speaker 1: not as great. So one of the big pieces of 1063 00:54:14,520 --> 00:54:17,239 Speaker 1: how performers are thinking about the use of AI is 1064 00:54:17,320 --> 00:54:21,080 Speaker 1: whether or not their voices and likenesses can be used 1065 00:54:21,160 --> 00:54:24,440 Speaker 1: after they die, which is like pretty creepy. Crampchee Ireland 1066 00:54:24,520 --> 00:54:27,279 Speaker 1: said that posthumous deals are possible with the consent of 1067 00:54:27,320 --> 00:54:29,880 Speaker 1: whoever the estate has designated to act on the deceased 1068 00:54:29,880 --> 00:54:33,319 Speaker 1: performers behalf. So I was our I was sort of 1069 00:54:33,360 --> 00:54:35,520 Speaker 1: like set to be like, oh, that's great, that's good, 1070 00:54:35,560 --> 00:54:37,840 Speaker 1: Like I'm so happy they have a deal in place. However, 1071 00:54:38,440 --> 00:54:40,680 Speaker 1: after doing a little more research, I came to find 1072 00:54:40,719 --> 00:54:45,080 Speaker 1: that a lot of performers are either a angry about 1073 00:54:45,080 --> 00:54:47,839 Speaker 1: this deal or be skeptical of this deal and still 1074 00:54:47,840 --> 00:54:49,760 Speaker 1: have more questions. Like I went to the social media 1075 00:54:49,800 --> 00:54:52,440 Speaker 1: posts that were announcing this agreement, and several people were 1076 00:54:52,440 --> 00:54:55,840 Speaker 1: expressing frustration with this agreement and the announcement, saying that 1077 00:54:55,880 --> 00:54:57,800 Speaker 1: they did not feel like the Union had done a 1078 00:54:57,800 --> 00:55:00,440 Speaker 1: good enough job of representing their interests as it pertains 1079 00:55:00,480 --> 00:55:03,400 Speaker 1: to AI or even just like educating them on what 1080 00:55:03,480 --> 00:55:06,600 Speaker 1: they need to know about this agreement. And I don't know. 1081 00:55:06,600 --> 00:55:08,399 Speaker 1: I think it's one of those stories where we will 1082 00:55:08,440 --> 00:55:11,719 Speaker 1: definitely keep an eye on it and give updates where 1083 00:55:11,719 --> 00:55:15,040 Speaker 1: there are updates. But yeah, it sounds like maybe the 1084 00:55:15,120 --> 00:55:18,839 Speaker 1: folks who are being represented here and the folks who 1085 00:55:18,880 --> 00:55:21,520 Speaker 1: are doing the negotiating there might be a little bit 1086 00:55:21,520 --> 00:55:24,319 Speaker 1: of daylight in between what they what both of those 1087 00:55:24,360 --> 00:55:26,759 Speaker 1: parties see as their best interests, and whether or not 1088 00:55:26,800 --> 00:55:27,839 Speaker 1: they're being represented. 1089 00:55:28,360 --> 00:55:28,840 Speaker 2: Definitely. 1090 00:55:28,960 --> 00:55:33,040 Speaker 3: Yeah, I have a lot of friends who are actors 1091 00:55:33,120 --> 00:55:35,480 Speaker 3: in my life, so this is something I've been like 1092 00:55:35,520 --> 00:55:37,520 Speaker 3: hearing about from them. 1093 00:55:37,840 --> 00:55:41,160 Speaker 2: People are not happy with this agreement, and like, I 1094 00:55:41,200 --> 00:55:41,960 Speaker 2: totally understand it. 1095 00:55:42,000 --> 00:55:46,160 Speaker 3: And it's interesting because I so like I as an 1096 00:55:46,160 --> 00:55:49,719 Speaker 3: iHeart employee, like I'm part of the writers guild and 1097 00:55:49,960 --> 00:55:51,359 Speaker 3: we weren't on a strike. It was just the film 1098 00:55:51,360 --> 00:55:53,920 Speaker 3: and Television division. We were in a different division. But 1099 00:55:54,480 --> 00:55:56,839 Speaker 3: it was interesting because I feel like with the writer's strike, 1100 00:55:56,880 --> 00:55:59,720 Speaker 3: there was a lot more like transparency about what was happening. 1101 00:56:00,600 --> 00:56:02,879 Speaker 3: Obviously it's not perfect, but like you know, I felt 1102 00:56:02,920 --> 00:56:05,040 Speaker 3: like at least like even as somebody who was not 1103 00:56:05,080 --> 00:56:06,759 Speaker 3: in the division that was on strike, like I had 1104 00:56:06,960 --> 00:56:08,759 Speaker 3: kind of an idea what was happening and like what 1105 00:56:08,880 --> 00:56:12,080 Speaker 3: the deal was, and like what the like kind of negotiation, 1106 00:56:12,200 --> 00:56:14,319 Speaker 3: how that was going. And I feel like there has 1107 00:56:14,480 --> 00:56:19,560 Speaker 3: there was a lot of like muddyins around the sag 1108 00:56:20,600 --> 00:56:24,799 Speaker 3: the negotiations and and yeah again like just from from 1109 00:56:24,880 --> 00:56:27,960 Speaker 3: my friends that are dealing with this because it's their careers, 1110 00:56:28,520 --> 00:56:31,160 Speaker 3: they don't seem to be happy. And I also remember 1111 00:56:31,239 --> 00:56:33,560 Speaker 3: like looking at the stag Instagram hosts like look. 1112 00:56:33,520 --> 00:56:35,120 Speaker 2: Open again the comments and tak a bunch of people 1113 00:56:35,160 --> 00:56:36,759 Speaker 2: that are like I. 1114 00:56:36,719 --> 00:56:40,160 Speaker 3: Don't like especially even when like the contract was announced, 1115 00:56:40,160 --> 00:56:41,799 Speaker 3: there were a bunch of videos that were going around 1116 00:56:41,800 --> 00:56:44,560 Speaker 3: from like really prominent actors being like oh yes on this, 1117 00:56:44,880 --> 00:56:46,680 Speaker 3: like and it was like, why do you have to 1118 00:56:46,960 --> 00:56:49,560 Speaker 3: advertise to people about yes, like it should be a 1119 00:56:49,600 --> 00:56:52,719 Speaker 3: thing where it's just like, yeah, look we have a 1120 00:56:52,719 --> 00:56:53,200 Speaker 3: good deal. 1121 00:56:54,640 --> 00:56:56,200 Speaker 2: Do you support it or not? I don't know. 1122 00:56:56,440 --> 00:57:00,960 Speaker 3: And yeah, so this whole thing, I wish the best 1123 00:57:01,000 --> 00:57:05,400 Speaker 3: to Sag and uh tak all of the actors everywhere 1124 00:57:05,440 --> 00:57:06,920 Speaker 3: that I have to deal with all of this. 1125 00:57:08,360 --> 00:57:11,239 Speaker 2: Solidarity. Again, it's it's rough out here. 1126 00:57:11,560 --> 00:57:15,920 Speaker 1: Yeah, I'm with you. And honestly, like these performers who 1127 00:57:15,960 --> 00:57:20,520 Speaker 1: are worried about things like their likeness being used via 1128 00:57:20,680 --> 00:57:24,200 Speaker 1: AI after they're dead, that sounds very creepy and futuristic, 1129 00:57:24,200 --> 00:57:27,520 Speaker 1: but they're not. That's not an out there concern because 1130 00:57:27,680 --> 00:57:31,600 Speaker 1: just this week, comedy icon stand up legend George Carlin 1131 00:57:31,720 --> 00:57:34,880 Speaker 1: released a new comedy special, which is very impressive considering 1132 00:57:34,880 --> 00:57:37,040 Speaker 1: he's been dead since two thousand and eight. And the 1133 00:57:37,120 --> 00:57:40,720 Speaker 1: special is called I'm Glad I'm Dead. It is from Dootecy. 1134 00:57:41,680 --> 00:57:44,280 Speaker 1: I'm getting this from Variety. I'm about to say this, 1135 00:57:44,400 --> 00:57:48,240 Speaker 1: but I'm not totally sure what it means. Dudecy coma 1136 00:57:48,640 --> 00:57:52,720 Speaker 1: a comedy AI that hosts a podcast and YouTube show 1137 00:57:53,000 --> 00:57:57,560 Speaker 1: with Mad TV alum Will Sasso and podcaster Chad Koltkin. 1138 00:57:58,040 --> 00:58:00,560 Speaker 1: I don't know what that means. So like is dude, 1139 00:58:00,640 --> 00:58:05,240 Speaker 1: see AI, like like, like what is what is the 1140 00:58:05,240 --> 00:58:06,360 Speaker 1: AI entity. 1141 00:58:06,080 --> 00:58:09,040 Speaker 3: In this sounds like a like an onion article like 1142 00:58:09,200 --> 00:58:13,160 Speaker 3: that I don't know that George Carlin specifically, Like I 1143 00:58:13,240 --> 00:58:15,560 Speaker 3: cannot think of somebody who would probably be. 1144 00:58:16,400 --> 00:58:20,240 Speaker 2: Like more angry at the fact that I used for 1145 00:58:20,360 --> 00:58:21,880 Speaker 2: like an ar totally. 1146 00:58:22,000 --> 00:58:24,880 Speaker 1: Like this is how you get haunted by like a 1147 00:58:24,960 --> 00:58:29,240 Speaker 1: spirit that anytime you're trying to concentrate like whispers pity 1148 00:58:29,280 --> 00:58:32,280 Speaker 1: little observations about the society in your years, like you 1149 00:58:32,320 --> 00:58:34,080 Speaker 1: want to be haunted by the ghost of George Carlin, 1150 00:58:34,160 --> 00:58:35,680 Speaker 1: Like this is how you get haunted by the George 1151 00:58:35,800 --> 00:58:36,280 Speaker 1: a ghost of. 1152 00:58:36,280 --> 00:58:38,880 Speaker 3: George Carlin, which I would love to be haunted by 1153 00:58:38,920 --> 00:58:41,120 Speaker 3: the gast of George Carlan, but like in a fun way, 1154 00:58:41,360 --> 00:58:43,840 Speaker 3: like it's like like like my little buddy, it's just 1155 00:58:43,840 --> 00:58:46,440 Speaker 3: giving me life advice, not in whatever it's going to 1156 00:58:46,480 --> 00:58:48,840 Speaker 3: come to these guys, like that's gonna be something different. 1157 00:58:49,840 --> 00:58:54,120 Speaker 1: Okay, So I'm so confused about what this entity Dudecy is. 1158 00:58:54,160 --> 00:58:57,400 Speaker 1: This is from their website. Will Sasso and Chad Colkin 1159 00:58:57,680 --> 00:59:00,000 Speaker 1: have been selected by a state of the art entertained 1160 00:59:00,120 --> 00:59:04,160 Speaker 1: meant AI to host this first of its kind comedy podcast. 1161 00:59:03,760 --> 00:59:05,160 Speaker 2: So they were selected by the AI. 1162 00:59:05,600 --> 00:59:07,000 Speaker 1: I don't know if that's a joke or not. 1163 00:59:07,480 --> 00:59:07,840 Speaker 4: I don't know. 1164 00:59:08,240 --> 00:59:10,560 Speaker 1: I don't know what I'm reading. It goes on to say, 1165 00:59:10,640 --> 00:59:13,320 Speaker 1: our hosts have been convinced to grant the dudeesy AI 1166 00:59:13,560 --> 00:59:16,800 Speaker 1: access to all of their personal emails, text messages, social 1167 00:59:16,800 --> 00:59:19,720 Speaker 1: media accounts, purchases and browsing histories so that it can 1168 00:59:19,760 --> 00:59:22,840 Speaker 1: tailor the show to their specific personalities and entertain you 1169 00:59:22,880 --> 00:59:26,520 Speaker 1: at the highest level possible. I don't like, I don't 1170 00:59:26,600 --> 00:59:28,040 Speaker 1: understand what I'm reading. 1171 00:59:28,080 --> 00:59:31,160 Speaker 3: This whole thing, Like this sounds like it's a George 1172 00:59:31,200 --> 00:59:35,680 Speaker 3: carl They've been granted permission by like the AI. 1173 00:59:35,800 --> 00:59:36,160 Speaker 1: I don't know. 1174 00:59:36,280 --> 00:59:38,360 Speaker 2: Like that's how I am. 1175 00:59:38,440 --> 00:59:42,360 Speaker 1: I am confused. I am so I'll go on. So 1176 00:59:42,760 --> 00:59:47,120 Speaker 1: Dutecy starts off the comedy special with this. I want 1177 00:59:47,120 --> 00:59:49,960 Speaker 1: to let you know very clearly that what you're about 1178 00:59:49,960 --> 00:59:52,520 Speaker 1: to hear is not George Carlin, and it's my impersonation 1179 00:59:52,560 --> 00:59:54,760 Speaker 1: of George Carlin that I developed in the same way 1180 00:59:54,800 --> 00:59:57,320 Speaker 1: that a human impressionist would. I listened to all of 1181 00:59:57,360 --> 01:00:00,600 Speaker 1: George Carlin's material and did my best to imitate his voice, cadence, 1182 01:00:00,600 --> 01:00:02,960 Speaker 1: an attitude as well as subject matter. I think that 1183 01:00:03,000 --> 01:00:05,120 Speaker 1: would have interested him today. So think of it like 1184 01:00:05,400 --> 01:00:09,080 Speaker 1: Andy coffin perceading Elvis, or like Will Ferrell in persuading 1185 01:00:09,120 --> 01:00:09,600 Speaker 1: George W. 1186 01:00:09,680 --> 01:00:10,200 Speaker 4: Bush. 1187 01:00:10,240 --> 01:00:12,880 Speaker 1: So I see what dudec is doing there, but like 1188 01:00:13,440 --> 01:00:15,200 Speaker 1: he's trying to make us be like, oh, well, this 1189 01:00:15,240 --> 01:00:17,640 Speaker 1: is a more common thing for comedians than you think. 1190 01:00:17,840 --> 01:00:22,880 Speaker 1: But he's naming comedians who impersonate non comedians, Like it's 1191 01:00:22,880 --> 01:00:26,040 Speaker 1: not like Will Ferrell in persading George W. Bush. It's 1192 01:00:26,040 --> 01:00:28,920 Speaker 1: more like Dave Chappelle and persading Richard pryor, like it's 1193 01:00:28,920 --> 01:00:30,920 Speaker 1: like a comedian and persading another comedian. 1194 01:00:31,120 --> 01:00:33,320 Speaker 2: This just sounds like the most annoying dude at the part, 1195 01:00:33,400 --> 01:00:35,040 Speaker 2: Oh my god, it's like, do you want to hear 1196 01:00:35,080 --> 01:00:40,040 Speaker 2: my George Carlin impression? Like whatever, Like yeah, oh my god, yes. 1197 01:00:40,160 --> 01:00:42,280 Speaker 1: And I'm not even sure if that dude is a 1198 01:00:42,400 --> 01:00:44,919 Speaker 1: dude or AI, Like I'm not again, I'm not, I'm 1199 01:00:44,920 --> 01:00:46,880 Speaker 1: not sure like what they're trying to tell me here. 1200 01:00:46,960 --> 01:00:49,560 Speaker 1: So but I can confirm to you per variety that 1201 01:00:50,480 --> 01:00:54,240 Speaker 1: it is an AI generated impression of Carlin. I don't 1202 01:00:54,280 --> 01:00:56,720 Speaker 1: know in what way this traditionally counts as an impersonation, 1203 01:00:56,800 --> 01:00:59,800 Speaker 1: but there you have it. So this special has Carlin 1204 01:01:00,000 --> 01:01:02,640 Speaker 1: commenting on things in tech that he never got to 1205 01:01:02,680 --> 01:01:04,640 Speaker 1: see because he died in two thousand and eight, like 1206 01:01:04,720 --> 01:01:08,680 Speaker 1: Elon Musk buying Twitter and Jeff Bezos's rocket launch into 1207 01:01:08,720 --> 01:01:11,640 Speaker 1: space in twenty twenty two. You know what they did 1208 01:01:11,680 --> 01:01:14,680 Speaker 1: forget to do, though, is get any kind of permission 1209 01:01:14,800 --> 01:01:19,360 Speaker 1: from George Carlin's very much still alive family member. His 1210 01:01:19,560 --> 01:01:23,480 Speaker 1: daughter Kelly Carlin, posted on Twitter saying, my dad spent 1211 01:01:23,600 --> 01:01:26,640 Speaker 1: a lifetime perfecting his craft from his very human life, 1212 01:01:26,800 --> 01:01:30,160 Speaker 1: brain and imagination. No machine will ever replace his genius. 1213 01:01:30,320 --> 01:01:33,360 Speaker 1: These AI generated products are clever attempts at trying to 1214 01:01:33,400 --> 01:01:36,080 Speaker 1: recreate a mind that will never exist again. Let the 1215 01:01:36,200 --> 01:01:39,120 Speaker 1: artists work speak for itself. Humans are so afraid of 1216 01:01:39,160 --> 01:01:41,479 Speaker 1: the void that we can't let what's fallen into it 1217 01:01:41,600 --> 01:01:44,920 Speaker 1: stay there. Here's an idea, how about we give some actual, 1218 01:01:44,960 --> 01:01:47,480 Speaker 1: living human comedians a listen to. But if you want 1219 01:01:47,480 --> 01:01:50,280 Speaker 1: to listen to the genuine George Carlin, he has fourteen 1220 01:01:50,280 --> 01:01:53,960 Speaker 1: specials that you can find anywhere. So I hate that 1221 01:01:54,000 --> 01:01:57,120 Speaker 1: she has to make that statement, but I really appreciated it. 1222 01:01:57,160 --> 01:02:01,760 Speaker 1: And yeah, like you were saying, all the comedians that 1223 01:02:01,880 --> 01:02:05,120 Speaker 1: I feel like would not have rocked with this. I 1224 01:02:05,120 --> 01:02:11,120 Speaker 1: feel like George Carlin especially would not have rocked with this. Yeah, yeah, 1225 01:02:11,160 --> 01:02:14,440 Speaker 1: and I love George Carlin. There is a bit like 1226 01:02:14,520 --> 01:02:17,680 Speaker 1: I actually just finished edits on an op ed that 1227 01:02:17,840 --> 01:02:20,520 Speaker 1: opens with a George Carlin bit. I reference it on 1228 01:02:20,560 --> 01:02:22,320 Speaker 1: the show like all the time. You'll probably are sick 1229 01:02:22,360 --> 01:02:25,240 Speaker 1: of me saying it, But I have gotten more wisdom 1230 01:02:25,400 --> 01:02:27,680 Speaker 1: and use out of this one George Carlin bit that 1231 01:02:27,680 --> 01:02:30,240 Speaker 1: I have gotten from anything I've ever encountered in a 1232 01:02:30,280 --> 01:02:33,240 Speaker 1: philosophy book or a college course. And that is his 1233 01:02:33,560 --> 01:02:38,440 Speaker 1: shit versus stuff bit. You ever notice how your stuff 1234 01:02:38,520 --> 01:02:41,160 Speaker 1: is stuff and everybody else's stuff is shit. This is 1235 01:02:41,200 --> 01:02:42,960 Speaker 1: not me trying to do an impersonation with him. I 1236 01:02:43,040 --> 01:02:45,720 Speaker 1: literally quote it all the time, but that one there, 1237 01:02:45,760 --> 01:02:47,880 Speaker 1: I feel like there is more insight into the human 1238 01:02:47,920 --> 01:02:50,600 Speaker 1: condition and how we all live in a society together 1239 01:02:50,760 --> 01:02:53,200 Speaker 1: in that bit than anything else I've ever read. And 1240 01:02:53,240 --> 01:02:57,800 Speaker 1: it bumps me out. Like the idea of comedians or 1241 01:02:57,840 --> 01:03:03,680 Speaker 1: podcasters trying to re create that using AI, It's like, yeah, 1242 01:03:03,800 --> 01:03:07,240 Speaker 1: let the work stand for itself. Not everything needs to 1243 01:03:07,320 --> 01:03:11,280 Speaker 1: be a AI generated copy of something that was good. 1244 01:03:11,400 --> 01:03:14,360 Speaker 1: That copy probably wouldn't even be good and his daughter's 1245 01:03:14,360 --> 01:03:16,800 Speaker 1: not into it, so don't do this. I just really 1246 01:03:16,840 --> 01:03:19,960 Speaker 1: hate this. Thanks so much for being here, Joey. Where 1247 01:03:19,960 --> 01:03:21,760 Speaker 1: can folks keep up with all your awesome work. 1248 01:03:22,120 --> 01:03:26,080 Speaker 3: You can find me on social media Att Pratt that's 1249 01:03:26,160 --> 01:03:28,680 Speaker 3: p A T T n O T p R A 1250 01:03:28,800 --> 01:03:32,760 Speaker 3: T T. And if you want to listen to my 1251 01:03:32,840 --> 01:03:35,360 Speaker 3: other work, you can check out after Lives, the Lealian 1252 01:03:35,440 --> 01:03:36,280 Speaker 3: Planco story. 1253 01:03:38,160 --> 01:03:41,440 Speaker 2: We just finished up the kind of main arc. 1254 01:03:41,520 --> 01:03:44,919 Speaker 3: We're posting some sort of bonus content and longer interviews 1255 01:03:45,440 --> 01:03:47,760 Speaker 3: at the moment, but you should definitely check that out. 1256 01:03:48,240 --> 01:03:49,320 Speaker 2: Super important story. 1257 01:03:50,160 --> 01:03:52,680 Speaker 1: Yeah, thanks so much for being here, Thanks so much 1258 01:03:52,720 --> 01:03:54,280 Speaker 1: for all your great work, and thanks to all of 1259 01:03:54,320 --> 01:03:56,520 Speaker 1: you for listening. You can find me on social media. 1260 01:03:56,560 --> 01:03:58,160 Speaker 1: You can hit me up on email at Hello at 1261 01:03:58,160 --> 01:04:00,440 Speaker 1: tango dot com, and you can check out more and 1262 01:04:00,640 --> 01:04:04,280 Speaker 1: free content at our patreon at tignoity dot com slash Patreon. 1263 01:04:10,680 --> 01:04:12,800 Speaker 1: If you're looking for ways to support the show, check 1264 01:04:12,800 --> 01:04:15,440 Speaker 1: out our March store at tangody dot com slash store. 1265 01:04:16,640 --> 01:04:18,680 Speaker 1: Got a story about an interesting thing in tech, or 1266 01:04:18,760 --> 01:04:20,600 Speaker 1: just want to say hi, You can reach us at 1267 01:04:20,640 --> 01:04:23,320 Speaker 1: Hello at tangodi dot com. You can also find transcripts 1268 01:04:23,360 --> 01:04:25,800 Speaker 1: for today's episode at tegoity dot com. There Are No 1269 01:04:25,880 --> 01:04:27,960 Speaker 1: Girls on the Internet was created by me Bridget Tod. 1270 01:04:28,320 --> 01:04:31,480 Speaker 1: It's a production of iHeartRadio and Unboss Creative, edited by 1271 01:04:31,560 --> 01:04:35,600 Speaker 1: Joey pat Jonathan Strickland as our executive producer. Tari Harrison 1272 01:04:35,680 --> 01:04:38,480 Speaker 1: is our producer and sound engineer. Michael Almada is our 1273 01:04:38,480 --> 01:04:41,560 Speaker 1: contributing producer. I'm your host, bridget Tood. If you want 1274 01:04:41,560 --> 01:04:43,160 Speaker 1: to help us grow, rate and review. 1275 01:04:42,920 --> 01:04:44,000 Speaker 4: Us on Apple Podcasts. 1276 01:04:44,720 --> 01:04:47,560 Speaker 1: For more podcasts from iHeartRadio, check out the iHeartRadio app, 1277 01:04:47,600 --> 01:04:54,120 Speaker 1: Apple Podcasts, or wherever you get your podcasts.