1 00:00:00,400 --> 00:00:04,279 Speaker 1: Hello the Internet, and welcome to this episode of Trends 2 00:00:04,320 --> 00:00:08,399 Speaker 1: So Good. Yes, yes, yes, yes, yes, yes, trends Yes 3 00:00:08,520 --> 00:00:18,279 Speaker 1: yes yes balloon Hello, I'm Jack. That is super producer 4 00:00:18,360 --> 00:00:21,360 Speaker 1: Becca Ramos. And for people who haven't seen that video, 5 00:00:21,800 --> 00:00:23,920 Speaker 1: they're gonna be confused, I guess a little bit. 6 00:00:24,040 --> 00:00:25,200 Speaker 2: But we're gonna talk about it. 7 00:00:25,239 --> 00:00:29,560 Speaker 1: So as were we all? Should we just kick off 8 00:00:29,600 --> 00:00:30,960 Speaker 1: with that, because I guess. 9 00:00:30,800 --> 00:00:32,760 Speaker 2: So we started there, we should. 10 00:00:33,320 --> 00:00:35,440 Speaker 1: Yeah, this was on my list of like, oh, we 11 00:00:35,479 --> 00:00:38,639 Speaker 1: forgot to talk about that this week over the weekend, 12 00:00:38,880 --> 00:00:41,960 Speaker 1: and then I lost that list and then we forgot 13 00:00:41,960 --> 00:00:43,760 Speaker 1: to talk about it again this week. But it is 14 00:00:43,800 --> 00:00:49,120 Speaker 1: this video of a person on TikTok, a woman who 15 00:00:49,960 --> 00:00:54,000 Speaker 1: has a cowboy hat and a mustache in like for 16 00:00:54,040 --> 00:00:58,000 Speaker 1: a moment, like a graphic over, and then the main 17 00:00:58,360 --> 00:01:01,000 Speaker 1: chunk that I think people chose to to like I 18 00:01:01,000 --> 00:01:04,680 Speaker 1: think it went viral on Twitter, was her saying ice 19 00:01:04,720 --> 00:01:09,720 Speaker 1: cream so good. Yes, yes, yes, yes, yes yes, and 20 00:01:10,440 --> 00:01:10,880 Speaker 1: it just. 21 00:01:11,520 --> 00:01:13,800 Speaker 2: Her name is Pinky Doll. By the way, her. 22 00:01:13,720 --> 00:01:18,600 Speaker 1: Name, yes, I should do not erase Pinky Doll. So 23 00:01:18,720 --> 00:01:22,559 Speaker 1: Pinky Doll is somebody who's part of a TikTok trend 24 00:01:23,319 --> 00:01:27,880 Speaker 1: that Becca as a resident TikTok expert, I am asking 25 00:01:27,920 --> 00:01:32,160 Speaker 1: you to explain to me, and you I asked you, 26 00:01:32,240 --> 00:01:34,399 Speaker 1: and you just put your head in your hands and 27 00:01:34,440 --> 00:01:37,119 Speaker 1: began weeping. So that is. 28 00:01:37,040 --> 00:01:40,520 Speaker 2: Truly how it's felt going down this rabbit hole. I 29 00:01:40,560 --> 00:01:43,640 Speaker 2: actively tried to avoid it on TikTok because I kept 30 00:01:43,720 --> 00:01:46,320 Speaker 2: seeing it pop up and I was like, what is this? 31 00:01:46,400 --> 00:01:48,120 Speaker 2: And then I saw more people making fun of it, 32 00:01:48,160 --> 00:01:50,920 Speaker 2: and I was like, I simply, is it above my head? 33 00:01:51,000 --> 00:01:54,400 Speaker 2: I don't understand, and then I and then I. The 34 00:01:54,480 --> 00:01:56,200 Speaker 2: thing that made me bring it up was I got 35 00:01:56,240 --> 00:02:00,000 Speaker 2: to serve to TikTok saying, oh, this is actually fetish, 36 00:02:00,400 --> 00:02:03,680 Speaker 2: and I was like, of course it is. But obviously 37 00:02:03,760 --> 00:02:06,560 Speaker 2: no claims have been you know, confirmed or denied. What 38 00:02:06,640 --> 00:02:12,560 Speaker 2: this is. It is basically people TikTokers pretending to be NPCs, 39 00:02:12,639 --> 00:02:15,919 Speaker 2: which are non playing characters right AI video. 40 00:02:15,720 --> 00:02:19,919 Speaker 1: Game, like the background characters who just respond to stimulus 41 00:02:19,960 --> 00:02:21,760 Speaker 1: and do the same thing over and over again. 42 00:02:22,120 --> 00:02:26,000 Speaker 2: Yes, which there have been other trends on TikTok of 43 00:02:26,000 --> 00:02:29,959 Speaker 2: like NPC vibe, but they've been more in the vein 44 00:02:30,040 --> 00:02:34,240 Speaker 2: of showing outfits like choose your character and then it's 45 00:02:34,240 --> 00:02:38,840 Speaker 2: like right, So and then people like change all these 46 00:02:38,880 --> 00:02:41,799 Speaker 2: different outfits to be different characters that type of thing. 47 00:02:42,080 --> 00:02:45,320 Speaker 2: But this has been kind of a weird thing because 48 00:02:45,320 --> 00:02:50,000 Speaker 2: it's specifically for TikTok Live, because on TikTok Live, people 49 00:02:50,040 --> 00:02:54,520 Speaker 2: can send different emoticons and those emoticons are equating to 50 00:02:54,560 --> 00:02:58,240 Speaker 2: a certain amount of actual dollar coins attached to it 51 00:02:58,440 --> 00:03:00,760 Speaker 2: to pay the creators to act to it. 52 00:03:01,200 --> 00:03:03,840 Speaker 1: So she when she's saying ice cream so good, and 53 00:03:03,919 --> 00:03:07,000 Speaker 1: like maybe ice cream so good? Yes, yes, yes, that 54 00:03:07,200 --> 00:03:10,480 Speaker 1: is a gift that is being sent to her. That 55 00:03:10,639 --> 00:03:15,359 Speaker 1: is also a gift. There is a monetary value that 56 00:03:16,160 --> 00:03:20,720 Speaker 1: she is receiving in connection with that, And the point 57 00:03:21,320 --> 00:03:24,440 Speaker 1: of the people sending this is just to see a 58 00:03:24,760 --> 00:03:30,760 Speaker 1: human being devoid of all humanity, just to having free 59 00:03:30,800 --> 00:03:34,600 Speaker 1: will taken away from them by technology, which I feel 60 00:03:34,680 --> 00:03:39,040 Speaker 1: like at a deep like, at a deep psychological level, 61 00:03:39,120 --> 00:03:41,640 Speaker 1: is kind of how everyone feels a little bit. So 62 00:03:41,720 --> 00:03:45,320 Speaker 1: that's probably where part of the fascinations coming from. And 63 00:03:45,360 --> 00:03:47,320 Speaker 1: then yes, probably people are also masturbating. 64 00:03:47,600 --> 00:03:50,000 Speaker 2: People are definitely masturbating to this. That was the vibe 65 00:03:50,080 --> 00:03:55,920 Speaker 2: I got from specifically the TikToker ming a lla bay 66 00:03:56,640 --> 00:03:59,200 Speaker 2: m I n g A L A B a E. 67 00:03:59,680 --> 00:04:03,760 Speaker 2: They were explaining how when these TikTokers, specifically like Pinky 68 00:04:03,800 --> 00:04:07,320 Speaker 2: Doll will receive these emoticons, you know, and the way 69 00:04:07,360 --> 00:04:10,760 Speaker 2: they react to them is kind of like them orgasming. 70 00:04:10,880 --> 00:04:13,280 Speaker 2: That's like kind of the fetish to it, and. 71 00:04:13,200 --> 00:04:14,080 Speaker 1: The people who are. 72 00:04:15,800 --> 00:04:19,560 Speaker 2: Yes ya, and so the people sending it are you know, 73 00:04:19,680 --> 00:04:24,080 Speaker 2: getting off on seeing the TikToker react, whereas the issue 74 00:04:24,080 --> 00:04:26,120 Speaker 2: being this is a child's app, why would you, you know, 75 00:04:26,160 --> 00:04:31,120 Speaker 2: bring this child's you know, this adult play child in 76 00:04:31,120 --> 00:04:34,640 Speaker 2: a theory, it is a child's app. Yeah, so you know, 77 00:04:34,800 --> 00:04:36,840 Speaker 2: but that's you could say that about all the lives 78 00:04:36,920 --> 00:04:39,760 Speaker 2: on TikTok. We've talked about how weird TikTok lives are 79 00:04:39,960 --> 00:04:42,080 Speaker 2: in general, and they all make their money this way, 80 00:04:42,120 --> 00:04:46,000 Speaker 2: like this is just one specific weird way to make money, 81 00:04:46,279 --> 00:04:49,039 Speaker 2: but they all make this money from receiving these emoticons. 82 00:04:49,080 --> 00:04:51,240 Speaker 2: And a lot of people go live, like regular ass 83 00:04:51,279 --> 00:04:53,599 Speaker 2: content creators go live so that they can earn money 84 00:04:54,160 --> 00:04:57,400 Speaker 2: from their audience by them sending them emoticons, because the 85 00:04:57,440 --> 00:04:59,680 Speaker 2: whole goal of the live stream in that sense is 86 00:04:59,680 --> 00:05:02,520 Speaker 2: that you're getting a live reaction from your favorite creator 87 00:05:02,520 --> 00:05:05,080 Speaker 2: that's like, oh my god, thanks Jess for sending me 88 00:05:05,160 --> 00:05:07,880 Speaker 2: that you know ice cream. I'm like so grateful for 89 00:05:07,920 --> 00:05:10,240 Speaker 2: you when it's not being this creepy, weird AI n 90 00:05:10,279 --> 00:05:13,599 Speaker 2: PC thing that is just how life works. This is 91 00:05:13,640 --> 00:05:16,240 Speaker 2: just a different way to be earning money. It is 92 00:05:16,279 --> 00:05:19,080 Speaker 2: a little black marry that you know, Pinky Doll won't 93 00:05:19,080 --> 00:05:22,119 Speaker 2: break character and she's like on Live twenty four seven. 94 00:05:22,160 --> 00:05:24,520 Speaker 2: She's literally on Live right now as we were like 95 00:05:24,640 --> 00:05:25,920 Speaker 2: looking up shit for this article. 96 00:05:26,360 --> 00:05:27,960 Speaker 1: Yeah, it is weird, and you are one of her 97 00:05:27,960 --> 00:05:28,680 Speaker 1: biggest donors. 98 00:05:28,680 --> 00:05:31,440 Speaker 2: We should make that and you know, selling my money 99 00:05:31,480 --> 00:05:34,040 Speaker 2: out to be Actually I'm like losing my apartment for this. 100 00:05:34,720 --> 00:05:38,720 Speaker 1: I'm seniging money to Pinky Doll over these gifts. Yeah, 101 00:05:38,760 --> 00:05:42,720 Speaker 1: it does feel like something that would be too weird 102 00:05:43,040 --> 00:05:46,680 Speaker 1: for Black Mirror. Like I feel like we've gone from 103 00:05:46,680 --> 00:05:50,000 Speaker 1: the thing where people being like gosh man, reality like 104 00:05:50,360 --> 00:05:52,680 Speaker 1: starting to feel like Black Mirror episode open here, and 105 00:05:52,720 --> 00:05:55,960 Speaker 1: now we're just like this is like if you if 106 00:05:56,000 --> 00:05:59,120 Speaker 1: this was in the trailer for Black Mirror, people would 107 00:05:59,160 --> 00:06:00,520 Speaker 1: just be like, well, I don't even know what to 108 00:06:00,600 --> 00:06:05,480 Speaker 1: do with that. Like usually yeah, like there's that one 109 00:06:05,520 --> 00:06:08,000 Speaker 1: episode of Black Mirror where people like rate each other 110 00:06:08,400 --> 00:06:12,120 Speaker 1: on like how good you are, And it's just like 111 00:06:12,560 --> 00:06:16,279 Speaker 1: that almost feels like quaint now, Like then you that 112 00:06:16,360 --> 00:06:19,920 Speaker 1: everybody would have like a reward system that when you 113 00:06:19,960 --> 00:06:25,000 Speaker 1: interact with them you have to like give them five stars. Yeah, 114 00:06:25,120 --> 00:06:28,400 Speaker 1: it was like, okay, that was your reaction to the 115 00:06:28,440 --> 00:06:34,080 Speaker 1: introduction of like the like gig app culture, But like 116 00:06:34,120 --> 00:06:37,279 Speaker 1: that's that just seems like we've digested that and moved on. 117 00:06:37,760 --> 00:06:40,320 Speaker 1: This is not me saying like Black Mirror, you're so lamb. 118 00:06:40,360 --> 00:06:44,800 Speaker 1: This is me saying like our culture is so ravenous 119 00:06:44,880 --> 00:06:45,840 Speaker 1: and fucked. 120 00:06:45,560 --> 00:06:48,800 Speaker 2: Up that it already moved they can not move. 121 00:06:48,640 --> 00:06:53,240 Speaker 1: Through new surreal terrain like at a startling pace that 122 00:06:53,440 --> 00:06:56,359 Speaker 1: I feel like it almost makes the job of someone 123 00:06:56,400 --> 00:07:01,320 Speaker 1: making a Black Mirror show like hard, too hard. Yeah, 124 00:07:01,560 --> 00:07:06,920 Speaker 1: all right, well anyways, I it's one of those weird 125 00:07:07,000 --> 00:07:10,120 Speaker 1: things that is not a song, is not an earworm, 126 00:07:10,160 --> 00:07:11,960 Speaker 1: but has been stuck in my head as though it 127 00:07:12,000 --> 00:07:14,280 Speaker 1: were a song, And I've been saying it around the 128 00:07:14,280 --> 00:07:17,240 Speaker 1: house and my kids think it's funny, and so I'll 129 00:07:17,320 --> 00:07:21,160 Speaker 1: keep saying it until they stop giving me little gifts 130 00:07:21,280 --> 00:07:26,520 Speaker 1: of their left All right, Oppenheimer, it is Boppenheimer Day 131 00:07:26,880 --> 00:07:30,720 Speaker 1: is upon us, upon us, I got, Yeah, I guess 132 00:07:30,720 --> 00:07:32,600 Speaker 1: at midnight tonight tonight they both drop. 133 00:07:33,160 --> 00:07:37,040 Speaker 2: Well, okay, I am seeing it tonight before midnight because. 134 00:07:36,880 --> 00:07:38,320 Speaker 1: Read the predial showings. 135 00:07:38,400 --> 00:07:41,680 Speaker 2: Yeah, they are showing it early. But I kind of 136 00:07:41,800 --> 00:07:43,960 Speaker 2: was thinking about this before we got on MIC. Do 137 00:07:43,960 --> 00:07:46,120 Speaker 2: you remember the days when movies would actually drop at 138 00:07:46,320 --> 00:07:48,160 Speaker 2: night at the theater, like they wouldn't be showing them 139 00:07:48,160 --> 00:07:50,520 Speaker 2: at like seven or four pm or not in the 140 00:07:50,560 --> 00:07:52,440 Speaker 2: day before It was like you had to either go 141 00:07:52,480 --> 00:07:55,000 Speaker 2: to the midnight showing or see it on the day of. 142 00:07:55,400 --> 00:07:58,160 Speaker 2: And I kind of miss that. I mean, I was 143 00:07:58,200 --> 00:08:00,320 Speaker 2: like an older person to not be going to the 144 00:08:00,360 --> 00:08:04,000 Speaker 2: midnight showing, but I miss the fun of like a 145 00:08:04,040 --> 00:08:06,880 Speaker 2: midnight premiere. You guy, all your friends and. 146 00:08:06,840 --> 00:08:09,280 Speaker 1: You go and you sit, and I choose to still 147 00:08:09,320 --> 00:08:11,920 Speaker 1: believe in that reality and say, oh, yeah, these are 148 00:08:11,960 --> 00:08:17,600 Speaker 1: just Thursday previews. Yeah yeah, it's so. The reviews are in. 149 00:08:17,800 --> 00:08:23,240 Speaker 1: They they've lifted the review embargo on Metacritic, and the 150 00:08:23,280 --> 00:08:27,760 Speaker 1: reviews for Oppenheimer and Barbie are in, and they are 151 00:08:29,040 --> 00:08:34,079 Speaker 1: dun dun, dumb, both really good. They're just like Oppenheimer's 152 00:08:34,080 --> 00:08:36,679 Speaker 1: in the nineties, which is crazy high. 153 00:08:36,720 --> 00:08:38,679 Speaker 2: Like this, it's definitely better than I thought it was 154 00:08:38,720 --> 00:08:40,960 Speaker 2: going to be, like the reviews for Oppenheimer, because like, 155 00:08:41,000 --> 00:08:45,040 Speaker 2: I guess maybe it's just not my like, it's not 156 00:08:45,160 --> 00:08:48,040 Speaker 2: my category movie that I would like love to go see. Like, yeah, 157 00:08:48,040 --> 00:08:50,520 Speaker 2: I love Christopher Nolan. There's definitely movies of his that 158 00:08:50,559 --> 00:08:53,840 Speaker 2: I love. But war movies are definitely have always been 159 00:08:53,880 --> 00:08:56,800 Speaker 2: like a negatory for me. It's kind of like whatever. 160 00:08:58,000 --> 00:09:00,280 Speaker 2: So and I felt like the press for Barbie was 161 00:09:00,360 --> 00:09:04,600 Speaker 2: so overshadowing Oppenheimer that people were like, na, like Oppenheimer's 162 00:09:04,600 --> 00:09:07,319 Speaker 2: gonna be okay, but they're doing better than Party. 163 00:09:07,880 --> 00:09:11,240 Speaker 1: Yeah, what's your favorite? Like what's we We've done this 164 00:09:11,320 --> 00:09:15,880 Speaker 1: with Wes Anderson, you and I, But what's your like? Nolan? 165 00:09:16,600 --> 00:09:18,560 Speaker 1: Like Inception? 166 00:09:18,840 --> 00:09:22,400 Speaker 2: Okay, Yeah, I wrote a whole like essay on it 167 00:09:22,400 --> 00:09:22,960 Speaker 2: in college. 168 00:09:23,520 --> 00:09:25,360 Speaker 1: You wrote a whole yeah. 169 00:09:25,200 --> 00:09:27,439 Speaker 2: A ten page essay on Inception in college. 170 00:09:27,840 --> 00:09:30,680 Speaker 1: I don't think when I saw it, Inception was my 171 00:09:30,760 --> 00:09:34,120 Speaker 1: favorite Nolan movie. It's definitely the one that I think 172 00:09:34,120 --> 00:09:37,360 Speaker 1: about the most often. And yeah, like it is just 173 00:09:38,040 --> 00:09:41,439 Speaker 1: burnt into the back of my brain of course, Yeah, 174 00:09:41,480 --> 00:09:44,319 Speaker 1: which I think is like the mark of a successful movie, 175 00:09:44,360 --> 00:09:47,480 Speaker 1: Like it's just like riddled with plot holes. Which again 176 00:09:47,480 --> 00:09:49,959 Speaker 1: I think Christopher Nolan does plot holes as a flex 177 00:09:50,080 --> 00:09:52,800 Speaker 1: because he's like, I'm so good at movie magic, you 178 00:09:52,880 --> 00:09:57,240 Speaker 1: won't notice this. I am literally waite. Yeah. 179 00:09:57,520 --> 00:09:59,760 Speaker 2: But anyway, it was just such a phenomenon when it 180 00:09:59,760 --> 00:10:02,520 Speaker 2: came out, though, like the concept of the movie I 181 00:10:02,559 --> 00:10:05,240 Speaker 2: felt like was one of those oh, this is an 182 00:10:05,280 --> 00:10:06,880 Speaker 2: original movie again, you know. 183 00:10:07,040 --> 00:10:12,280 Speaker 1: Yeah, yeah, so, and I mean, I will say Dunkirk 184 00:10:12,400 --> 00:10:14,280 Speaker 1: was also like in the nineties when it first came 185 00:10:14,320 --> 00:10:16,880 Speaker 1: out and I saw that and I was like, that 186 00:10:17,040 --> 00:10:22,280 Speaker 1: is a successful war film, you know. But did I 187 00:10:22,400 --> 00:10:25,160 Speaker 1: enjoy it the way that I enjoyed like some of 188 00:10:25,200 --> 00:10:29,640 Speaker 1: his other sillier movies. No, yeah, not so much. But 189 00:10:30,320 --> 00:10:34,920 Speaker 1: so like my sense is I'm going to appreciate Oppenheimer, 190 00:10:34,920 --> 00:10:37,200 Speaker 1: but it's not going to be like the film that 191 00:10:38,000 --> 00:10:40,720 Speaker 1: is my favorite Christopher Nolan movie. And then the Barbie 192 00:10:40,760 --> 00:10:43,880 Speaker 1: reviews are in, and they are in the eighties eighty one, 193 00:10:44,000 --> 00:10:45,880 Speaker 1: I believe on Metacritic, which. 194 00:10:45,720 --> 00:10:49,000 Speaker 2: I've got my Juicy Gutour sweatsuit on right now, yes, 195 00:10:49,080 --> 00:10:50,600 Speaker 2: and I'm very excited. 196 00:10:50,160 --> 00:10:54,840 Speaker 1: To go right pink Juicy Guitour ready for the premiere. 197 00:10:55,400 --> 00:10:57,120 Speaker 1: So that so you're going. 198 00:10:56,920 --> 00:10:59,720 Speaker 2: Tonight, I'm going tonight because I couldn't wait. I personally 199 00:10:59,760 --> 00:11:02,000 Speaker 2: was like I have to see it before everybody else. 200 00:11:02,320 --> 00:11:05,800 Speaker 2: So I was like, they're available on Thursday. I'm gonna 201 00:11:05,800 --> 00:11:06,480 Speaker 2: go on Thursday. 202 00:11:06,840 --> 00:11:11,240 Speaker 1: Yeah. The reviews, I think, I think some people say 203 00:11:11,280 --> 00:11:16,720 Speaker 1: it is a little darker than anticipated. That was that 204 00:11:16,800 --> 00:11:22,560 Speaker 1: was my prediction. So yeah, yeah, so we'll see. Uh, 205 00:11:23,160 --> 00:11:27,520 Speaker 1: but you know, the the pre purchases of Barbie tickets 206 00:11:27,600 --> 00:11:31,440 Speaker 1: are like the highest I think we talked about earlier 207 00:11:31,440 --> 00:11:32,320 Speaker 1: in the week that I mean. 208 00:11:32,640 --> 00:11:36,720 Speaker 2: My theater sold out. I'm going to be getting there 209 00:11:37,000 --> 00:11:39,920 Speaker 2: early because I chose to go to a theater that 210 00:11:39,960 --> 00:11:42,120 Speaker 2: doesn't have a sign seating because I was like, oh, 211 00:11:42,240 --> 00:11:43,760 Speaker 2: let me see how many of my friends I can 212 00:11:43,760 --> 00:11:45,320 Speaker 2: get to go so we don't have to like sit 213 00:11:45,360 --> 00:11:48,520 Speaker 2: next to like worry about booking seats next to each other. 214 00:11:49,200 --> 00:11:52,080 Speaker 2: And I only got four friends to go and my boyfriend, 215 00:11:52,600 --> 00:11:55,640 Speaker 2: but because he felt very left out, he was shocked 216 00:11:55,679 --> 00:11:58,040 Speaker 2: that I actually bought the tickets without him, but he 217 00:11:58,040 --> 00:12:04,000 Speaker 2: didn't seem interested. But yeah, it sold out, so we 218 00:12:04,040 --> 00:12:05,439 Speaker 2: got to get there early and make sure we get 219 00:12:05,480 --> 00:12:06,440 Speaker 2: good seats. 220 00:12:07,640 --> 00:12:12,240 Speaker 1: The raves for Barbie seemed particularly impressed with the Ken character, 221 00:12:12,480 --> 00:12:18,200 Speaker 1: so I'm excited about that too, Gossling going full gossling. Yeah, 222 00:12:18,200 --> 00:12:22,240 Speaker 1: but both of the lead performances are supposedly amazing, Margot 223 00:12:22,280 --> 00:12:26,960 Speaker 1: Robbie continuing to be, you know, just an incredible actor. Yes, 224 00:12:27,200 --> 00:12:29,360 Speaker 1: all right, So we're gonna take a quick break and 225 00:12:29,360 --> 00:12:32,280 Speaker 1: then we're gonna come back and talk about a internet 226 00:12:32,320 --> 00:12:37,920 Speaker 1: conspiracy theory about Oppenheimer that is probably not true, but 227 00:12:38,080 --> 00:12:40,600 Speaker 1: has like a nugget in it that kind of blew 228 00:12:40,640 --> 00:12:53,320 Speaker 1: my mind. So we'll be right back, and we're back. 229 00:12:53,880 --> 00:12:58,880 Speaker 1: And so there was this theory back in the day 230 00:12:59,000 --> 00:13:05,160 Speaker 1: when the Frozen came out. The Disney made Frozen purely 231 00:13:05,640 --> 00:13:10,280 Speaker 1: to like as an SEO trap to divert search traffic 232 00:13:10,320 --> 00:13:14,079 Speaker 1: from the internet. Theory that Walt Disney's cryogenically frozen head 233 00:13:14,280 --> 00:13:16,040 Speaker 1: was preserved somewhere in Disneyland. 234 00:13:16,120 --> 00:13:19,560 Speaker 2: That is so crazy. That is a crazy theory. 235 00:13:20,080 --> 00:13:24,480 Speaker 1: Yeah, that like when you google Disney and Frozen, the 236 00:13:24,559 --> 00:13:27,840 Speaker 1: movie comes up instead of conspiracy theories. Is the theory 237 00:13:29,480 --> 00:13:33,319 Speaker 1: definitely not true, but a fun but fun Reddit post, 238 00:13:33,400 --> 00:13:37,800 Speaker 1: a very fun reddit post. So people are saying the 239 00:13:37,840 --> 00:13:41,520 Speaker 1: same thing about Oppenheimer and Christopher Nolan in a way 240 00:13:41,559 --> 00:13:44,280 Speaker 1: that makes even less sense than that, but it does 241 00:13:44,440 --> 00:13:50,320 Speaker 1: have like a really weird backstory. So there's this viral 242 00:13:50,360 --> 00:13:55,000 Speaker 1: tweet from mister Chow Saracha Chow on Twitter saying, learning 243 00:13:55,000 --> 00:13:57,880 Speaker 1: that Christopher Nolan's fugitive hit man brother's code name is 244 00:13:57,920 --> 00:14:01,160 Speaker 1: Oppenheimer is actually what turned me around on him entirely 245 00:14:01,160 --> 00:14:04,559 Speaker 1: as an artist. Immediately made me want to revisit everything. 246 00:14:05,400 --> 00:14:09,360 Speaker 1: So and then people are like, so, that's that's why 247 00:14:09,400 --> 00:14:11,680 Speaker 1: he made it, And I don't think that's why he 248 00:14:11,720 --> 00:14:14,720 Speaker 1: made it, but it is true that he has an 249 00:14:14,760 --> 00:14:19,640 Speaker 1: older brother who was implicated in a murder in Costa 250 00:14:19,720 --> 00:14:24,040 Speaker 1: Rica that people think will like is like a Hitman 251 00:14:24,360 --> 00:14:29,960 Speaker 1: style murder. So there's Christopher Nolan, there's his brother Joanah 252 00:14:30,000 --> 00:14:33,080 Speaker 1: Nolan or Jonathan Nolan, the Westworld guy who like co 253 00:14:33,200 --> 00:14:36,960 Speaker 1: wrote a couple of his biggest movies, Memento with him. 254 00:14:37,280 --> 00:14:43,640 Speaker 1: They have an older brother named Matthew Nolan. It's just 255 00:14:44,240 --> 00:14:47,320 Speaker 1: you know, he works as a property developer in Chicago. 256 00:14:48,000 --> 00:14:50,840 Speaker 1: But in two thousand and five he was accused or 257 00:14:50,880 --> 00:14:53,240 Speaker 1: he was accused of the two thousand and five murder 258 00:14:53,280 --> 00:14:56,600 Speaker 1: of an accountant in Costa Rica who had stolen a 259 00:14:56,640 --> 00:15:01,080 Speaker 1: bunch of cash from a drug trafficker, and like the 260 00:15:01,960 --> 00:15:05,480 Speaker 1: drug trafficker allegedly like brought Nolan in to recover the 261 00:15:05,480 --> 00:15:10,200 Speaker 1: lost money, all of which Nolan denies, but like he 262 00:15:12,160 --> 00:15:16,520 Speaker 1: allegedly tricked the accountant into like coming into contact him 263 00:15:16,560 --> 00:15:20,840 Speaker 1: by calling himself Matthew McCall Oppenheimer, not because of the 264 00:15:20,880 --> 00:15:23,720 Speaker 1: atomic scientist, but because he wanted people to think he 265 00:15:23,840 --> 00:15:28,360 Speaker 1: was part of the Oppenheimer diamond family. And so he 266 00:15:28,400 --> 00:15:30,480 Speaker 1: was eventually arrested in two thousand and nine after the 267 00:15:30,560 --> 00:15:34,320 Speaker 1: FBI tracked him down because he slipped up and attended 268 00:15:34,360 --> 00:15:39,760 Speaker 1: his own bankruptcy hearing, and the Costa Rican government wanted 269 00:15:39,800 --> 00:15:43,440 Speaker 1: him extradited. He was put in prison in Chicago until 270 00:15:43,480 --> 00:15:46,320 Speaker 1: the judge ultimately ruled that there was no sufficient evidence 271 00:15:46,440 --> 00:15:48,360 Speaker 1: that he was the killer, and he was allowed to 272 00:15:48,400 --> 00:15:52,520 Speaker 1: stay in the US, But the arresting FBI agent claimed 273 00:15:53,920 --> 00:15:56,920 Speaker 1: the extradition request was not up to the legal standards 274 00:15:56,960 --> 00:15:59,600 Speaker 1: required and pointed out that Nolan had some tw somehow 275 00:15:59,640 --> 00:16:04,120 Speaker 1: secure a high priced attorney despite being bankrupt. 276 00:16:04,440 --> 00:16:10,600 Speaker 2: Yeah, his two brothers are award winning right, Yes, a 277 00:16:10,600 --> 00:16:11,760 Speaker 2: little lost here. 278 00:16:12,320 --> 00:16:15,720 Speaker 1: But I don't know, it's just like he seems so 279 00:16:16,240 --> 00:16:18,640 Speaker 1: one of the guys who like tracked him down and 280 00:16:18,840 --> 00:16:21,040 Speaker 1: like brought about his arrest. Is like he is the 281 00:16:21,080 --> 00:16:24,760 Speaker 1: most arrogant evil person you've ever met, Like he sounds 282 00:16:24,840 --> 00:16:28,920 Speaker 1: like a movie villain. When he was released from his 283 00:16:29,000 --> 00:16:32,880 Speaker 1: Chicago jail, like guards discovered a thirty one foot long 284 00:16:33,000 --> 00:16:35,920 Speaker 1: rope made up of bed sheets and a harness razor 285 00:16:36,040 --> 00:16:40,000 Speaker 1: and clip designed to unlock handcuffs in his cell and 286 00:16:40,040 --> 00:16:42,200 Speaker 1: they were like, is actually the best damn rope I've 287 00:16:42,200 --> 00:16:46,240 Speaker 1: ever seen made of bed sheets? Like it's just so 288 00:16:47,360 --> 00:16:49,800 Speaker 1: I don't know. And also, so this is around the 289 00:16:49,840 --> 00:16:54,160 Speaker 1: time that Christopher Nolan made Inception, in which, like the 290 00:16:54,200 --> 00:17:00,560 Speaker 1: main character is a like his avoiding extradition for a 291 00:17:00,680 --> 00:17:02,240 Speaker 1: murder he was falsely accused of. 292 00:17:02,360 --> 00:17:03,920 Speaker 2: Damn, this should have been in my essay. 293 00:17:04,200 --> 00:17:09,040 Speaker 1: Right, but it's such a wild like I don't know, 294 00:17:09,320 --> 00:17:11,480 Speaker 1: I mean, so, so the SEO thing doesn't make sense, 295 00:17:11,560 --> 00:17:16,320 Speaker 1: right because this obviously is flirting with like getting everybody 296 00:17:16,359 --> 00:17:19,000 Speaker 1: to google this story and find out this story Like 297 00:17:19,760 --> 00:17:23,040 Speaker 1: this wasn't I said, this wasn't an existing urban legend 298 00:17:23,040 --> 00:17:25,080 Speaker 1: that everybody was talking about on the internet that he 299 00:17:25,119 --> 00:17:27,040 Speaker 1: was trying to cover up, and like this is a 300 00:17:27,080 --> 00:17:29,440 Speaker 1: thing where now I know about this because he chose 301 00:17:29,480 --> 00:17:31,679 Speaker 1: to make the Oppenheimer movie. But it does feel like 302 00:17:31,720 --> 00:17:35,840 Speaker 1: I don't know, he's like taking cues from like at 303 00:17:35,920 --> 00:17:38,879 Speaker 1: least there has to be this like massive fascination with 304 00:17:38,960 --> 00:17:40,920 Speaker 1: his brother, who's. 305 00:17:40,640 --> 00:17:46,360 Speaker 2: Like a quite the life. Yeah, right, wouldn't shock. 306 00:17:46,240 --> 00:17:49,960 Speaker 1: Me, but what a just what a wild story. It 307 00:17:50,680 --> 00:17:52,760 Speaker 1: does make you like kind of take a step back 308 00:17:52,800 --> 00:17:55,840 Speaker 1: and just be like, do I need to like rethink 309 00:17:55,880 --> 00:17:57,760 Speaker 1: because he just seems like kind of a stuffy, like 310 00:17:57,800 --> 00:18:01,560 Speaker 1: British guy who's like, yeah, you know, you better clear 311 00:18:01,640 --> 00:18:03,960 Speaker 1: the schedule when I released my movies because they're the 312 00:18:04,000 --> 00:18:08,760 Speaker 1: best movies, and now it's like weather, there's this darkness, 313 00:18:09,000 --> 00:18:13,720 Speaker 1: this path under the surface. So I don't know, nothing 314 00:18:13,800 --> 00:18:18,120 Speaker 1: was ever proven, but just in terms of like an 315 00:18:18,160 --> 00:18:22,800 Speaker 1: influence on Christopher Nolan's films, Like you know, his breakout 316 00:18:22,800 --> 00:18:27,520 Speaker 1: movie was Memento, written by him and his little brother, 317 00:18:27,920 --> 00:18:30,320 Speaker 1: and it's about a guy who essentially gets exploited and 318 00:18:30,359 --> 00:18:32,320 Speaker 1: tricked into becoming an assassin. 319 00:18:33,000 --> 00:18:34,800 Speaker 2: And it's all coming together. 320 00:18:35,320 --> 00:18:37,720 Speaker 1: I don't know, that's just it's interesting. 321 00:18:37,880 --> 00:18:41,000 Speaker 2: I would believe the Christopher Nolan conspiracy theories over the 322 00:18:41,160 --> 00:18:47,359 Speaker 2: Frozen via Frozen crygentically Disney theory. Yeah, yeah, yeah, for sure, 323 00:18:47,960 --> 00:18:52,600 Speaker 2: because especially with Frozen the movie, those movies take so 324 00:18:52,920 --> 00:18:56,080 Speaker 2: long to animate and they're like in pop I would 325 00:18:56,080 --> 00:18:58,720 Speaker 2: believe other conspiracy theories about the movie Frozen, like the 326 00:18:58,760 --> 00:19:02,639 Speaker 2: lesbian wan and like all those other things over the 327 00:19:02,720 --> 00:19:06,040 Speaker 2: cryogenically Frozen, because I just don't thieve there's a lot 328 00:19:06,040 --> 00:19:08,679 Speaker 2: of stake in that game for them to worry about 329 00:19:08,960 --> 00:19:11,399 Speaker 2: if Walt Disney's cryogenically frozen or not. 330 00:19:11,800 --> 00:19:16,120 Speaker 1: Yeah, he is, but there is there is something too, 331 00:19:16,520 --> 00:19:20,400 Speaker 1: like the way decisions ultimately, the way we find out 332 00:19:20,480 --> 00:19:24,600 Speaker 1: decisions are made over the course of American history, Like 333 00:19:24,640 --> 00:19:26,199 Speaker 1: a lot of times it does end up being like 334 00:19:26,280 --> 00:19:30,880 Speaker 1: some thin skinned rich person being like you gotta find 335 00:19:30,880 --> 00:19:33,119 Speaker 1: a way to get this room or out of there, yeah, 336 00:19:33,200 --> 00:19:35,560 Speaker 1: you know what I mean. Like, so, like it's not 337 00:19:35,600 --> 00:19:38,199 Speaker 1: crazy to me that like that was on a you know, 338 00:19:38,760 --> 00:19:41,720 Speaker 1: on a whiteboard somewhere in the Disney office. Is like, 339 00:19:43,160 --> 00:19:45,640 Speaker 1: but I don't believe it. I'm just like it's it's 340 00:19:45,680 --> 00:19:48,439 Speaker 1: not the most far fetched thing. The Nolan thing doesn't 341 00:19:48,440 --> 00:19:51,320 Speaker 1: make sense as a motivation to make this movie. It 342 00:19:51,320 --> 00:19:53,840 Speaker 1: does make sense to me as like if he is 343 00:19:54,680 --> 00:19:57,520 Speaker 1: you know, this brother is just this like shadow figure 344 00:19:57,680 --> 00:20:02,760 Speaker 1: in his life, who is like, you know, really fascinating, 345 00:20:02,840 --> 00:20:05,879 Speaker 1: like darkly fascinating, and he like kind of takes his 346 00:20:06,320 --> 00:20:09,800 Speaker 1: creative interests and cues from that. Like that makes sense 347 00:20:09,800 --> 00:20:10,000 Speaker 1: to me. 348 00:20:10,400 --> 00:20:12,679 Speaker 2: Yeah, that makes so much more sense, I do think. 349 00:20:13,160 --> 00:20:16,919 Speaker 2: I mean, granted, I don't know what Oppenheimer's about. I 350 00:20:16,960 --> 00:20:19,280 Speaker 2: know it's a war movie. Is that awful for me 351 00:20:19,280 --> 00:20:20,720 Speaker 2: to say I don't know what it's about. I'm like, 352 00:20:20,840 --> 00:20:22,439 Speaker 2: I just assume. I look at the aesthetic and was 353 00:20:22,480 --> 00:20:25,399 Speaker 2: like world War two, and then I just like moved on. 354 00:20:25,920 --> 00:20:28,160 Speaker 1: I just didn't it's about the invention of the atomic bomb. 355 00:20:28,400 --> 00:20:28,920 Speaker 1: Oh okay. 356 00:20:28,960 --> 00:20:31,960 Speaker 2: Who. I was like, there's an atomic bomb. It's World 357 00:20:32,000 --> 00:20:33,399 Speaker 2: War two, That's all I know. 358 00:20:34,240 --> 00:20:38,000 Speaker 1: Yes, And then he's like oopsies. And then the government's like, 359 00:20:38,119 --> 00:20:40,840 Speaker 1: well you shouldn't have said oopsies, and now you're. 360 00:20:40,920 --> 00:20:42,200 Speaker 2: Now we have atomic bombs. 361 00:20:42,320 --> 00:20:47,000 Speaker 1: Yeah. Yeah. And finally, just kind of following up on 362 00:20:47,040 --> 00:20:49,200 Speaker 1: some of the stuff we were talking about earlier this week, 363 00:20:49,240 --> 00:20:53,520 Speaker 1: Google News is testing a product that used artificial intelligence 364 00:20:53,560 --> 00:20:57,600 Speaker 1: technology to produce news stories, pitching it to news organizations 365 00:20:57,640 --> 00:20:59,520 Speaker 1: including The New York Times, The Washington Post, on The 366 00:20:59,560 --> 00:21:01,440 Speaker 1: Wall Street Journal's owner News Court. 367 00:21:02,520 --> 00:21:05,480 Speaker 2: This is so scary to me, But. 368 00:21:05,440 --> 00:21:10,000 Speaker 1: It's already happening. It's just like a new product. 369 00:21:10,400 --> 00:21:13,440 Speaker 2: Well they go on strike. The writers over there are 370 00:21:13,480 --> 00:21:18,960 Speaker 2: the part of the WGA. They their own writers, hopefully union. 371 00:21:19,400 --> 00:21:22,760 Speaker 1: The Internet is just going to become increasingly unusable as 372 00:21:22,800 --> 00:21:27,240 Speaker 1: a source of any sort of research. Absolutely, yeah, but 373 00:21:27,480 --> 00:21:30,600 Speaker 1: I mean hopefully the New York Times of the Washington Posts, 374 00:21:31,000 --> 00:21:35,359 Speaker 1: uh in the Wall Street Journal are you know, willing 375 00:21:35,400 --> 00:21:36,440 Speaker 1: to push back on this? 376 00:21:36,600 --> 00:21:40,600 Speaker 2: But when do you think the popular culture bubble of 377 00:21:40,880 --> 00:21:44,640 Speaker 2: the fun office culture of Google will burst for how 378 00:21:44,680 --> 00:21:45,320 Speaker 2: evil they are? 379 00:21:47,040 --> 00:21:49,560 Speaker 1: Oh yeah, I don't think anyone thinks of Google as 380 00:21:49,600 --> 00:21:52,680 Speaker 1: like a fun place to definitely like a nice place 381 00:21:52,680 --> 00:21:54,400 Speaker 1: to work because of like the chefs. 382 00:21:54,640 --> 00:21:57,600 Speaker 2: And then I guess because I know a lot of 383 00:21:57,600 --> 00:22:00,320 Speaker 2: people that work at Google, and I feel like, like, 384 00:22:00,440 --> 00:22:03,000 Speaker 2: oh yeah, it's whatever. I work at Google, like we're 385 00:22:03,040 --> 00:22:06,280 Speaker 2: good coming from I guess here where we actually talk 386 00:22:06,280 --> 00:22:09,359 Speaker 2: about like news and pop culture. I'm like, oh, y'all 387 00:22:09,359 --> 00:22:13,320 Speaker 2: work for like evil, like doctor Evil, Evil, like obviously, 388 00:22:13,359 --> 00:22:15,040 Speaker 2: But they're like, but it's not Facebook, And I'm like, 389 00:22:15,600 --> 00:22:18,040 Speaker 2: I don't know. Right now, Google's pitching a hei to 390 00:22:18,240 --> 00:22:21,120 Speaker 2: news companies that got writers out of jobs. 391 00:22:21,480 --> 00:22:25,160 Speaker 1: Yeah, I could see. Like the way this is probably 392 00:22:25,240 --> 00:22:31,640 Speaker 1: being pitched is, look, so many lesser news outlets are 393 00:22:31,680 --> 00:22:34,240 Speaker 1: already doing this, they're doing it worse. This is an 394 00:22:34,240 --> 00:22:36,840 Speaker 1: improvement on that. Yeah, and then you like get somebody 395 00:22:36,840 --> 00:22:38,400 Speaker 1: to come in and fact check it, and you don't 396 00:22:38,440 --> 00:22:41,199 Speaker 1: need the reporting. You're just we're just like skimming the 397 00:22:41,240 --> 00:22:46,280 Speaker 1: internet to like create proprietary story. Proprietary stories. Yeah, you know, 398 00:22:46,840 --> 00:22:49,400 Speaker 1: unique to The New York Times because we've fed them. 399 00:22:49,720 --> 00:22:52,119 Speaker 1: We've fed the algorithm every one of your stories, so 400 00:22:52,160 --> 00:22:54,199 Speaker 1: they kind of know your voice. And this will just 401 00:22:54,240 --> 00:22:57,320 Speaker 1: be like a cleaned up version of what you know, 402 00:22:57,760 --> 00:23:00,720 Speaker 1: the Times of India is already doing there, you know, 403 00:23:00,840 --> 00:23:05,160 Speaker 1: like some of those like websites that have the it's 404 00:23:05,240 --> 00:23:08,119 Speaker 1: no big secret, what why nobody wants to work with 405 00:23:08,240 --> 00:23:14,200 Speaker 1: Van bought anymore? Yeah, type things. You know. So we'll see, 406 00:23:14,280 --> 00:23:17,919 Speaker 1: but it's not looking good for the ability to do 407 00:23:18,080 --> 00:23:22,400 Speaker 1: research on the internet. Note I would Yeah. All right, 408 00:23:22,960 --> 00:23:25,280 Speaker 1: those are some of the things that are trending on 409 00:23:25,359 --> 00:23:28,800 Speaker 1: this Thursday, July twentieth. All right, well, thank you so 410 00:23:28,880 --> 00:23:33,720 Speaker 1: much for joining Today. Super producer Becca Ramos. Where can 411 00:23:33,760 --> 00:23:37,200 Speaker 1: people find you? Follow you all that good stuff you. 412 00:23:37,160 --> 00:23:40,040 Speaker 2: Can find me and follow me at bex b e CCS, 413 00:23:40,200 --> 00:23:45,280 Speaker 2: Ramos on all platforms, and at the movies tonight watching Barbie. 414 00:23:45,800 --> 00:23:47,760 Speaker 1: There we go, all right. You can find me on 415 00:23:47,800 --> 00:23:49,960 Speaker 1: Twitter at Jack Underscore ol Brian. That is going to 416 00:23:50,040 --> 00:23:52,760 Speaker 1: do it for us this afternoon. We're back tomorrow with 417 00:23:52,800 --> 00:23:55,399 Speaker 1: a whole last episode of the show. Until then, be 418 00:23:55,520 --> 00:23:58,200 Speaker 1: kind to each other, be kind to yourselves, get the vaccine, 419 00:23:58,359 --> 00:24:01,000 Speaker 1: don't do nothing about white supremacy, and we'll talk to 420 00:24:01,000 --> 00:24:15,159 Speaker 1: you all tomorrow. Bye bye m