1 00:00:00,160 --> 00:00:03,480 Speaker 1: Hello the Internet, and welcome to this episode of The 2 00:00:03,560 --> 00:00:08,360 Speaker 1: Weekly Zeitgeist. These are some of our favorite segments from 3 00:00:08,600 --> 00:00:19,360 Speaker 1: this week, all edited together into one NonStop infotainment laugh stravaganza. Yeah, So, 4 00:00:19,800 --> 00:00:26,160 Speaker 1: without further ado, here is the Weekly Zeitgeist. Miles speaking 5 00:00:26,160 --> 00:00:28,639 Speaker 1: of the Valley. Thrilled to be joined in our third 6 00:00:28,720 --> 00:00:32,159 Speaker 1: seat by a brilliant writer, podcaster, producer who's written for 7 00:00:32,200 --> 00:00:35,240 Speaker 1: publications like The New York Times, The New Yorker, such 8 00:00:35,240 --> 00:00:40,160 Speaker 1: a local publications, local producer on Everybody's Live. Co host 9 00:00:40,200 --> 00:00:43,520 Speaker 1: of the legendary podcast Girls in Hoodies and Night Call, writer, 10 00:00:43,640 --> 00:00:45,839 Speaker 1: creator and host of the wonderful podcast Heidi World, The 11 00:00:45,840 --> 00:00:49,280 Speaker 1: Heidi Fla Story, and soon, oh yeah, Jenna World. Not 12 00:00:49,640 --> 00:00:52,320 Speaker 1: about the character Jenna Maroney from thirty Rock. I've been told, 13 00:00:52,600 --> 00:00:55,160 Speaker 1: but Jenna Jamison, please welcome back to the show. It's 14 00:00:55,200 --> 00:00:56,120 Speaker 1: Mollie Hamburg. 15 00:01:02,520 --> 00:01:04,280 Speaker 2: I can't take the heat at all. I'll never brag 16 00:01:04,319 --> 00:01:07,560 Speaker 2: about it. If it gets hot, I'm inside inside. 17 00:01:08,200 --> 00:01:10,640 Speaker 1: Yeah, I'm so far away from the kitchen. 18 00:01:13,360 --> 00:01:18,399 Speaker 2: I do the thing, the hot concrete feet. I have 19 00:01:18,440 --> 00:01:20,880 Speaker 2: the same thing, same delusion where I'm like, you gotta 20 00:01:20,920 --> 00:01:23,560 Speaker 2: walk on it. Get a little tough. 21 00:01:23,440 --> 00:01:26,000 Speaker 3: Enough it's like, you know, there's this whole thing like 22 00:01:26,480 --> 00:01:29,319 Speaker 3: in the Manisphere where people talk about and I've seen 23 00:01:29,360 --> 00:01:31,920 Speaker 3: it bleed into other sort of forums where people talk 24 00:01:31,959 --> 00:01:35,160 Speaker 3: about how you can strengthen your skull bone with like 25 00:01:35,400 --> 00:01:38,120 Speaker 3: light impact over and over to the point that your 26 00:01:38,160 --> 00:01:39,400 Speaker 3: head is indestructible. 27 00:01:39,959 --> 00:01:40,640 Speaker 4: And a guy. 28 00:01:42,360 --> 00:01:42,960 Speaker 1: That's happening. 29 00:01:43,240 --> 00:01:45,479 Speaker 4: I've we could well, I'll probably I don't. 30 00:01:45,520 --> 00:01:47,039 Speaker 3: I wasn't going to bring this guy up, but he's 31 00:01:47,080 --> 00:01:48,960 Speaker 3: got like a really fucked up dark past. It was 32 00:01:49,000 --> 00:01:50,840 Speaker 3: like he's one of these like Manisphere people. And then 33 00:01:50,840 --> 00:01:53,800 Speaker 3: it turned out he had some like crazy sex crime 34 00:01:53,840 --> 00:01:56,120 Speaker 3: shit that he was like hiding because he's like, yeah, 35 00:01:56,120 --> 00:01:57,720 Speaker 3: I was in jail and didn't talk about it, and 36 00:01:57,760 --> 00:01:59,600 Speaker 3: then someone dug it up and he's like, well, you know, 37 00:02:00,360 --> 00:02:03,120 Speaker 3: maybe not, but he he said he went to with 38 00:02:03,240 --> 00:02:06,080 Speaker 3: Shaolin monks and they trained him to make his skull 39 00:02:06,200 --> 00:02:09,760 Speaker 3: so fucking strong that it was like impervious, like he 40 00:02:09,800 --> 00:02:11,400 Speaker 3: could even take a bullet in his head. 41 00:02:11,720 --> 00:02:12,400 Speaker 4: All lies. 42 00:02:12,880 --> 00:02:14,720 Speaker 3: But then I saw another post on the internet where 43 00:02:14,720 --> 00:02:17,160 Speaker 3: someone was where he's going with this one. Someone was 44 00:02:17,200 --> 00:02:20,320 Speaker 3: like saying they could take bb impact to their skin 45 00:02:20,520 --> 00:02:24,200 Speaker 3: and they're working themselves up to like low caliber like 46 00:02:24,639 --> 00:02:28,639 Speaker 3: munitions to see if their skin could be impenetrable by bullets. 47 00:02:28,720 --> 00:02:30,119 Speaker 4: I'm like, oh my god. 48 00:02:30,000 --> 00:02:32,120 Speaker 2: Dude, let's encourage it a little bit. 49 00:02:32,520 --> 00:02:35,799 Speaker 3: Yeah, if yeah, I mean it's the most like scientific 50 00:02:35,880 --> 00:02:38,679 Speaker 3: method I've seen applied to someone who's gonna win a 51 00:02:38,720 --> 00:02:41,800 Speaker 3: Darwin Award eventually. Right, It's like, well, they were following 52 00:02:41,840 --> 00:02:46,160 Speaker 3: this kind of weird ass logic of like resistance, not that. 53 00:02:46,240 --> 00:02:49,040 Speaker 2: Far off from like the whim Hoff ice bats or something. 54 00:02:49,120 --> 00:02:50,600 Speaker 2: You're just yeah, right, yeah, you gotta. 55 00:02:51,000 --> 00:02:52,480 Speaker 1: I mean, you want to see a lot of like 56 00:02:52,919 --> 00:02:57,079 Speaker 1: indecipherable charts. You just look look at like the literature. 57 00:02:57,520 --> 00:03:00,799 Speaker 1: The Flat Earth people want to show you. They have 58 00:03:01,120 --> 00:03:05,160 Speaker 1: so much documentation they well, yeah, I saw. 59 00:03:05,040 --> 00:03:07,560 Speaker 2: The inventor if Mewing died. 60 00:03:08,200 --> 00:03:09,160 Speaker 1: Of what mewing? 61 00:03:09,480 --> 00:03:13,480 Speaker 2: Like yeah, yeah, no mewing the manisphere thing. I'm shocked. 62 00:03:13,560 --> 00:03:18,480 Speaker 2: You guys aren't up on Wait no, which which it's 63 00:03:18,520 --> 00:03:20,040 Speaker 2: like a thing you do where you like kind of 64 00:03:20,040 --> 00:03:26,560 Speaker 2: grind your jaw in some way, get your crazy. Yeah. Oh, 65 00:03:26,600 --> 00:03:29,240 Speaker 2: some guy, the guy who invented his name was like 66 00:03:29,400 --> 00:03:30,440 Speaker 2: John MWe. 67 00:03:34,200 --> 00:03:34,640 Speaker 1: Oh wow. 68 00:03:34,840 --> 00:03:38,560 Speaker 3: Brought to you by John and Mike Mue, British orthodontists. 69 00:03:38,960 --> 00:03:43,360 Speaker 3: I see they called it orthotropics anything new, tropics, orthotropics, 70 00:03:43,640 --> 00:03:47,680 Speaker 3: tropic thunder, you know, cacorn. 71 00:03:48,000 --> 00:03:50,280 Speaker 2: Look, we're going at our jaws. Our jaws are going 72 00:03:50,320 --> 00:03:52,720 Speaker 2: to be square, gonna have a bunch of bebies under 73 00:03:52,760 --> 00:03:53,120 Speaker 2: the skin. 74 00:03:54,120 --> 00:03:55,640 Speaker 1: Yeah, exactly, kind of. 75 00:03:57,280 --> 00:03:59,800 Speaker 4: Wow. So this guy was pushing this for a minute. 76 00:04:00,000 --> 00:04:03,880 Speaker 1: It wasn't just a strong jaw overtook his face. 77 00:04:05,160 --> 00:04:06,360 Speaker 2: You got eaten by his own jaw. 78 00:04:06,760 --> 00:04:08,680 Speaker 1: I didn't know that was called mewing. Thank you. 79 00:04:08,720 --> 00:04:10,960 Speaker 4: See, we need my the knowledge base. 80 00:04:11,200 --> 00:04:12,920 Speaker 2: I thought you were deep in the manuspat but I 81 00:04:12,920 --> 00:04:13,560 Speaker 2: guess I'm no. 82 00:04:13,640 --> 00:04:16,000 Speaker 3: I just I just see what the algorithm shows me, 83 00:04:16,040 --> 00:04:18,120 Speaker 3: and I just take it as face value and I 84 00:04:18,160 --> 00:04:20,640 Speaker 3: apply it. I'm not really trying to pick it apart 85 00:04:20,800 --> 00:04:21,919 Speaker 3: and debunk anything. 86 00:04:21,960 --> 00:04:24,760 Speaker 2: Look a jack trying to mew right now. Subconsciously, I 87 00:04:24,880 --> 00:04:26,400 Speaker 2: know what this is. 88 00:04:26,480 --> 00:04:30,760 Speaker 1: Just this is just what does. 89 00:04:32,800 --> 00:04:34,720 Speaker 3: Why do you have a horse bridle in right now? 90 00:04:37,680 --> 00:04:40,880 Speaker 1: Also? Like, does this guy have a very strong chin, 91 00:04:41,400 --> 00:04:42,200 Speaker 1: strong jaw? 92 00:04:42,600 --> 00:04:46,800 Speaker 2: That's not what it's about, even, Okay, just that would 93 00:04:46,839 --> 00:04:47,960 Speaker 2: be so funny, though. 94 00:04:48,040 --> 00:04:50,240 Speaker 3: You got this weak ass chin and you're telling people 95 00:04:50,279 --> 00:04:51,760 Speaker 3: You're like, I'm the chin God. 96 00:04:51,720 --> 00:04:53,320 Speaker 1: It's out here looking like Tim Curry. 97 00:04:53,880 --> 00:04:57,360 Speaker 3: Oh man, he's out here looking like twenty eight years later. 98 00:04:58,160 --> 00:05:02,720 Speaker 1: Yeah, he is this. He looks like Bill Night of 99 00:05:02,800 --> 00:05:07,080 Speaker 1: Science Guy, if he had if Bill Nyda Science Guy 100 00:05:07,120 --> 00:05:10,120 Speaker 1: hadn't been doing hadn't been mewing for the past right. 101 00:05:11,360 --> 00:05:14,000 Speaker 3: Oh my god, it's fucking bro. 102 00:05:14,240 --> 00:05:14,760 Speaker 4: I'm sorry. 103 00:05:14,800 --> 00:05:18,239 Speaker 3: This guy looks so fucking like a like Jurassic Park face. 104 00:05:18,279 --> 00:05:20,679 Speaker 3: I don't know how else to describe it. And also 105 00:05:20,800 --> 00:05:23,480 Speaker 3: these videos of like the before and after of people 106 00:05:23,680 --> 00:05:26,599 Speaker 3: doing mewing, there's just people sticking their jaw out, creaking 107 00:05:26,839 --> 00:05:31,280 Speaker 3: after up and now I'm like like this and now 108 00:05:31,320 --> 00:05:33,960 Speaker 3: I stick my jaw out, yeah, and now I look 109 00:05:34,040 --> 00:05:36,159 Speaker 3: like I got Kobe Mamba face out all the time. 110 00:05:36,320 --> 00:05:40,480 Speaker 2: Like I'm really into that whole thing, because I'm like, 111 00:05:40,560 --> 00:05:43,880 Speaker 2: do do people do like women care about if men 112 00:05:43,960 --> 00:05:47,279 Speaker 2: have like a crazy jaw that seems like it's. 113 00:05:47,160 --> 00:05:51,120 Speaker 1: Like communicates gorilla mindset. Well, that's what I want to 114 00:05:51,160 --> 00:05:52,040 Speaker 1: look for, mate. 115 00:05:52,320 --> 00:05:54,320 Speaker 3: I mean, but because I feel like ninety nine percent 116 00:05:54,360 --> 00:05:57,159 Speaker 3: of the manusphere tips are coming from men who don't 117 00:05:57,200 --> 00:06:00,679 Speaker 3: really interact, have real or healthy interactions with the people 118 00:06:00,680 --> 00:06:01,520 Speaker 3: they're seeking, so. 119 00:06:01,480 --> 00:06:04,480 Speaker 4: They just makes like that's they're like, I hate my job. 120 00:06:04,680 --> 00:06:05,479 Speaker 1: That's what it is. 121 00:06:05,520 --> 00:06:07,440 Speaker 4: It's not a lot of personality. 122 00:06:07,839 --> 00:06:10,400 Speaker 2: And it is like women only like guys that are 123 00:06:10,480 --> 00:06:13,680 Speaker 2: like look like mister Universe or whatever. Yeah. 124 00:06:13,760 --> 00:06:17,160 Speaker 1: Yeah, women are cold and transactional, don't give a ship 125 00:06:17,200 --> 00:06:19,600 Speaker 1: about your feelings. They just want to have sex with 126 00:06:20,040 --> 00:06:21,920 Speaker 1: Arnold Schwarzenegger in the eighties. 127 00:06:26,240 --> 00:06:29,800 Speaker 4: That's you. That's you. 128 00:06:29,920 --> 00:06:32,120 Speaker 1: Why are women lying and saying they don't find this 129 00:06:32,200 --> 00:06:33,440 Speaker 1: bodybuilder attractive? 130 00:06:33,480 --> 00:06:34,560 Speaker 2: That was the thing that was doing. 131 00:06:35,000 --> 00:06:37,320 Speaker 4: That's right. How could they think? Who was it? 132 00:06:37,320 --> 00:06:40,479 Speaker 3: It was that like British pop star where they're like, 133 00:06:40,520 --> 00:06:42,480 Speaker 3: look at this guy's weak ass body. 134 00:06:42,520 --> 00:06:44,479 Speaker 4: They think that's ideal. Fuck out of here. 135 00:06:44,920 --> 00:06:51,120 Speaker 1: Yeah, there was a guy who like only eating chicken 136 00:06:51,160 --> 00:06:54,320 Speaker 1: breast and you know, like pills that you can buy 137 00:06:54,320 --> 00:06:57,640 Speaker 1: off the Joe Rogan podcast, and like came back and 138 00:06:57,800 --> 00:07:00,480 Speaker 1: was like just like really you can see like all 139 00:07:00,520 --> 00:07:03,919 Speaker 1: the veins and muscles in his body. And they were like, 140 00:07:03,960 --> 00:07:07,040 Speaker 1: who do you find more attractive before or after? And 141 00:07:07,080 --> 00:07:09,760 Speaker 1: like most women picked before and they were like what 142 00:07:09,760 --> 00:07:10,239 Speaker 1: the fuck? 143 00:07:12,320 --> 00:07:14,840 Speaker 3: He's still like like he was in shape too, even 144 00:07:14,880 --> 00:07:15,720 Speaker 3: the before. 145 00:07:16,480 --> 00:07:17,360 Speaker 1: He looked great. 146 00:07:17,680 --> 00:07:20,680 Speaker 2: My friend, my friend went to the Muscle Beach. 147 00:07:21,200 --> 00:07:23,760 Speaker 4: He was point. 148 00:07:24,480 --> 00:07:26,280 Speaker 2: My friend went to Muscle Beach for the fourth of 149 00:07:26,360 --> 00:07:30,320 Speaker 2: July for the Muscle Beach contest in Venice. Yeah, everybody looks. 150 00:07:30,440 --> 00:07:31,920 Speaker 2: Everybody's bodies look crazy. 151 00:07:32,960 --> 00:07:33,200 Speaker 1: Yeah. 152 00:07:33,600 --> 00:07:36,720 Speaker 2: They look like if you like rehydrated beef jerky kind. 153 00:07:36,520 --> 00:07:41,720 Speaker 3: Of you know, yeah, but had veins all over the stuff. 154 00:07:41,680 --> 00:07:44,000 Speaker 2: Like stringy kind of muscle. 155 00:07:44,240 --> 00:07:44,440 Speaker 5: Yeah. 156 00:07:44,520 --> 00:07:46,280 Speaker 3: Yeah, that's in, right now, that's in. You want to 157 00:07:46,280 --> 00:07:51,400 Speaker 3: look like an old horse. That's why body type old horse. 158 00:07:51,920 --> 00:07:54,000 Speaker 2: Yeah. Women love when you look like you're going to 159 00:07:54,040 --> 00:07:55,880 Speaker 2: the glue factory exactly. 160 00:07:55,960 --> 00:07:56,160 Speaker 6: Dude. 161 00:07:56,200 --> 00:07:58,440 Speaker 4: You want to look like a horse with no name. Dude, 162 00:07:58,440 --> 00:07:59,800 Speaker 4: that's the whole vibe I'm going for. 163 00:08:00,480 --> 00:08:02,800 Speaker 1: I mean, America shout out the fourth of July. It's 164 00:08:02,840 --> 00:08:05,520 Speaker 1: the name of the band of America. Yeah. In many ways, 165 00:08:05,520 --> 00:08:08,240 Speaker 1: we're going back to the nineteen eighties and just the 166 00:08:08,280 --> 00:08:09,480 Speaker 1: steroid era. 167 00:08:09,840 --> 00:08:12,880 Speaker 2: And it's also shit, it's crazy. They're just like women 168 00:08:12,920 --> 00:08:14,680 Speaker 2: will like you if you do these things to your 169 00:08:14,720 --> 00:08:17,840 Speaker 2: physical appearance and not like if you learn how to 170 00:08:17,960 --> 00:08:19,000 Speaker 2: treat them like people. 171 00:08:19,800 --> 00:08:20,000 Speaker 1: Right. 172 00:08:20,440 --> 00:08:22,840 Speaker 3: Yeah, Yeah, it's I mean, it's just it's funny because 173 00:08:22,880 --> 00:08:24,840 Speaker 3: it's like it's the lowest effort you don't even have 174 00:08:24,880 --> 00:08:27,160 Speaker 3: to lift weights, you know what I mean, or eat 175 00:08:27,200 --> 00:08:28,360 Speaker 3: a bunch of weird pills. 176 00:08:28,480 --> 00:08:31,000 Speaker 4: You can just be secure in who you are and 177 00:08:31,040 --> 00:08:32,080 Speaker 4: just go talk to people. 178 00:08:32,320 --> 00:08:36,280 Speaker 1: No, they don't want that, No, dude, that's not true. 179 00:08:36,400 --> 00:08:38,840 Speaker 1: I was so nice to this girl and that she 180 00:08:38,960 --> 00:08:42,080 Speaker 1: didn't even like me. And by nice, I mean that 181 00:08:42,160 --> 00:08:44,360 Speaker 1: I just like asked her what she was into and 182 00:08:44,400 --> 00:08:47,040 Speaker 1: didn't really listen and then got mad when she didn't 183 00:08:47,040 --> 00:08:51,400 Speaker 1: want to hook up with me. What's something he thinks underrated? 184 00:08:52,120 --> 00:08:55,680 Speaker 7: Something that I think is underrated? Now you saw something 185 00:08:55,720 --> 00:08:59,719 Speaker 7: on my podcast. I saw something on your podcast which. 186 00:08:59,559 --> 00:09:01,280 Speaker 3: Was gut Health. 187 00:09:02,480 --> 00:09:06,679 Speaker 7: I think microbiomes are extremely underrated. My dad is a 188 00:09:07,480 --> 00:09:09,920 Speaker 7: natural path, which I guess in the US is sort 189 00:09:09,920 --> 00:09:16,440 Speaker 7: of like nutritionist, kind of like holistic health kind of person. 190 00:09:17,000 --> 00:09:19,720 Speaker 7: And my microbiome has always been something that I've held 191 00:09:19,720 --> 00:09:22,720 Speaker 7: near and dear to my heart. And I just think, 192 00:09:22,800 --> 00:09:26,200 Speaker 7: like on the on the clip that I saw, you 193 00:09:26,200 --> 00:09:28,440 Speaker 7: were sort of talking about how people are like it 194 00:09:28,440 --> 00:09:31,360 Speaker 7: all starts in the gut, but it really does. 195 00:09:31,480 --> 00:09:32,720 Speaker 3: It all starts in the gut? 196 00:09:32,880 --> 00:09:33,240 Speaker 8: Guys. 197 00:09:33,840 --> 00:09:35,920 Speaker 3: That was the fear of got that one right. That 198 00:09:36,080 --> 00:09:38,640 Speaker 3: was like the one thing that was tied to reality, 199 00:09:38,679 --> 00:09:40,560 Speaker 3: and then it turned into now this is how you 200 00:09:40,600 --> 00:09:43,160 Speaker 3: open a water bottle, and you're like, wait, what the fuck. 201 00:09:43,160 --> 00:09:46,520 Speaker 7: Is exactly what this is the thing about all of 202 00:09:46,559 --> 00:09:53,959 Speaker 7: these sorts of populist movements, including like spirituality ones, menisphere ones, 203 00:09:54,320 --> 00:09:59,040 Speaker 7: they take seeds of truth and then they attached them 204 00:09:59,640 --> 00:10:04,840 Speaker 7: to higher belief or desire, like if you like, you 205 00:10:04,880 --> 00:10:08,480 Speaker 7: know the law of attraction, if you think about winning 206 00:10:08,559 --> 00:10:12,360 Speaker 7: the lottery, you'll win the lottery. And it's just like like, yeah, 207 00:10:12,400 --> 00:10:17,040 Speaker 7: the menisphere attaching something about gut health to like being 208 00:10:17,120 --> 00:10:20,000 Speaker 7: an alpha male that will help you dominate society and 209 00:10:20,040 --> 00:10:23,240 Speaker 7: become rich and powerful. They sort of they take advantage 210 00:10:23,280 --> 00:10:28,719 Speaker 7: of the vulnerable by taking psychological and scientific principles and 211 00:10:28,760 --> 00:10:33,320 Speaker 7: then extrapolating. 212 00:10:31,000 --> 00:10:33,880 Speaker 3: And that's yeah, like that's how you go from A 213 00:10:34,120 --> 00:10:38,480 Speaker 3: to Z very quickly without anything in between. Hold on here, 214 00:10:38,520 --> 00:10:41,280 Speaker 3: But he did say that he did pull that chair 215 00:10:41,320 --> 00:10:44,439 Speaker 3: out from the dining table very authoritatively. 216 00:10:43,679 --> 00:10:48,040 Speaker 1: So he meant it. And the way when he finished 217 00:10:48,080 --> 00:10:50,120 Speaker 1: drinking that water bottle that he opened in such a 218 00:10:50,160 --> 00:10:52,720 Speaker 1: manly federal way, he just spiked it like a football 219 00:10:53,160 --> 00:10:56,880 Speaker 1: was also cool and very practical. Is a very practical thing. 220 00:10:56,920 --> 00:10:58,880 Speaker 1: To do with the water bottle that you're drinking from. 221 00:10:59,000 --> 00:11:02,000 Speaker 1: It is difficult. I feel like we need to stop 222 00:11:03,000 --> 00:11:07,160 Speaker 1: giving them credit for the stuff that they get right, 223 00:11:07,320 --> 00:11:10,720 Speaker 1: and rather be met. It's like when a movie that 224 00:11:10,920 --> 00:11:14,960 Speaker 1: sucks uses a good song, I'm like, fuck you, just 225 00:11:15,000 --> 00:11:18,520 Speaker 1: like wasted that song. You know, like when they like 226 00:11:18,640 --> 00:11:21,520 Speaker 1: take a good fact that's interesting or just like a 227 00:11:21,559 --> 00:11:24,080 Speaker 1: good piece of it, Like Jordan Peterson. I always hear 228 00:11:24,120 --> 00:11:27,000 Speaker 1: people be like Jordan Peterson's right about some stuff, Like 229 00:11:27,040 --> 00:11:29,679 Speaker 1: he tells young men to like make their beds, and 230 00:11:29,720 --> 00:11:33,559 Speaker 1: that's good. I'm like, that's great, but like that then 231 00:11:33,800 --> 00:11:37,160 Speaker 1: to take that and like three steps later be like 232 00:11:37,200 --> 00:11:41,640 Speaker 1: and that's why you know, trans people don't deserve human 233 00:11:41,720 --> 00:11:45,280 Speaker 1: rights is like horrible. We take it even worse. 234 00:11:45,480 --> 00:11:48,079 Speaker 7: We take the colonel that the one thing that Jordan 235 00:11:48,160 --> 00:11:51,439 Speaker 7: Peterson says that's right, and like they're willing to overlook 236 00:11:51,600 --> 00:11:55,200 Speaker 7: all of the things he's say. But then there's like 237 00:11:55,760 --> 00:11:59,280 Speaker 7: a trans person who uses a bath room somewhere and 238 00:11:59,320 --> 00:12:02,760 Speaker 7: like some one's mildly inconvenienced and therefore all trends people 239 00:12:03,120 --> 00:12:05,280 Speaker 7: are wrong and must suffer. Kind of Thing's a bit 240 00:12:05,280 --> 00:12:06,599 Speaker 7: of an imbalance. 241 00:12:06,360 --> 00:12:10,240 Speaker 1: Yes, a bit of an imbalance told you what's something 242 00:12:10,280 --> 00:12:11,840 Speaker 1: he thinks overrated. 243 00:12:11,840 --> 00:12:16,480 Speaker 9: Graphical fidelity and video games? Oh boy, yeah no, we don't. 244 00:12:16,840 --> 00:12:18,760 Speaker 9: Oh like if you if you shelled out for a 245 00:12:18,760 --> 00:12:22,320 Speaker 9: PS five Pro, there's there's nothing you can talk about. 246 00:12:22,600 --> 00:12:25,440 Speaker 4: There's like there, I don't. 247 00:12:25,080 --> 00:12:28,480 Speaker 9: You, there's I know that there's nothing you can say 248 00:12:28,520 --> 00:12:30,600 Speaker 9: to me that'll be worth listening to. 249 00:12:31,320 --> 00:12:35,440 Speaker 3: Sure, sure, sure, I think unless you were like you 250 00:12:35,520 --> 00:12:38,160 Speaker 3: have to be this close to your TV for you 251 00:12:38,240 --> 00:12:40,559 Speaker 3: to be able to perceive that, like as. 252 00:12:40,400 --> 00:12:43,079 Speaker 1: Somebody's standing really close to his team, I'm like, you 253 00:12:43,120 --> 00:12:45,959 Speaker 1: gotta be for the listeners, because it. 254 00:12:45,960 --> 00:12:47,280 Speaker 4: Was really worth it. 255 00:12:47,280 --> 00:12:49,360 Speaker 9: It was really worth it for that one blade of 256 00:12:49,400 --> 00:12:52,680 Speaker 9: grass that I got to see over in the distance, 257 00:12:53,280 --> 00:12:57,319 Speaker 9: this area that's fenced off to me anyway, like get that, 258 00:12:57,480 --> 00:12:59,920 Speaker 9: get that ship out. Because also to like, video games 259 00:13:00,240 --> 00:13:03,520 Speaker 9: costs like three hundred four hundred million dollars to develop. 260 00:13:03,840 --> 00:13:06,960 Speaker 9: They take like ten years. It's you know, we don't. 261 00:13:07,200 --> 00:13:09,479 Speaker 9: It's unsustainable. It's unsustainable. 262 00:13:10,000 --> 00:13:14,440 Speaker 1: Like is there a thriving indie game scene where like 263 00:13:14,559 --> 00:13:17,400 Speaker 1: it's just they're like making sixteen bit or what you know, 264 00:13:17,440 --> 00:13:18,120 Speaker 1: stuff like that. 265 00:13:18,520 --> 00:13:23,640 Speaker 9: Oh yeah, oh oh yeah, no, it's it's it's vibrant. 266 00:13:23,840 --> 00:13:27,680 Speaker 9: It is vibrant. One thousand resists is really good blueprints. 267 00:13:27,760 --> 00:13:30,640 Speaker 9: Shout out to the folks behind blueprints, like, yeah, no 268 00:13:30,720 --> 00:13:33,200 Speaker 9: indie scenes thriving, so you know, and granted I'm a 269 00:13:33,200 --> 00:13:36,280 Speaker 9: triple A guy, like, you know, let's not get it twisted. 270 00:13:36,320 --> 00:13:39,440 Speaker 9: But yeah, man, I don't I don't need to see 271 00:13:39,480 --> 00:13:42,120 Speaker 9: every beata sweat like that. Give me more South of 272 00:13:42,240 --> 00:13:46,319 Speaker 9: Midnight that like stop motion type shit like yeah, video games, 273 00:13:46,440 --> 00:13:48,400 Speaker 9: yeah yeah, and. 274 00:13:48,400 --> 00:13:52,120 Speaker 3: Somebody like I was just playing SEAFU and I'm like, 275 00:13:52,280 --> 00:13:55,000 Speaker 3: that shit is so fucking no. Man, you don't need 276 00:13:55,040 --> 00:13:58,840 Speaker 3: that ship to be in eighty like it's just amazing. 277 00:13:59,240 --> 00:14:00,440 Speaker 4: But I'm going so hard. 278 00:14:00,640 --> 00:14:03,320 Speaker 3: The thing with I think people don't realize too, especially 279 00:14:03,360 --> 00:14:06,280 Speaker 3: with like the advent of four K TVs becoming so normal. 280 00:14:06,720 --> 00:14:09,560 Speaker 3: You have to sit, Like there are graphs that show 281 00:14:09,600 --> 00:14:12,520 Speaker 3: you the viewing distance for you to perceive the difference 282 00:14:12,520 --> 00:14:16,240 Speaker 3: in four K. If you have a seventy inch four 283 00:14:16,320 --> 00:14:19,600 Speaker 3: K TV, you need to be sitting closer than five 284 00:14:19,720 --> 00:14:22,360 Speaker 3: feet away from the fucking screen to be able to 285 00:14:22,440 --> 00:14:25,560 Speaker 3: notice that different. Wow, And so like you have to 286 00:14:25,640 --> 00:14:27,960 Speaker 3: like so for all those like to your point, all 287 00:14:28,000 --> 00:14:30,720 Speaker 3: those little things are really perceptibles you're playing on like 288 00:14:30,800 --> 00:14:34,200 Speaker 3: fucking iMac screen or something shit from like ten feet away. 289 00:14:35,080 --> 00:14:37,200 Speaker 3: But yeah, we're yeah, we're just not going to see 290 00:14:37,200 --> 00:14:37,880 Speaker 3: it the same way. 291 00:14:38,040 --> 00:14:41,040 Speaker 1: So what what is the console that it like maxed 292 00:14:41,040 --> 00:14:45,080 Speaker 1: out as like this is functionally all you need? 293 00:14:46,480 --> 00:14:48,480 Speaker 9: I mean, like I got a PS five, but they 294 00:14:48,520 --> 00:14:51,080 Speaker 9: are mad people still having a really good time with 295 00:14:51,120 --> 00:14:51,760 Speaker 9: a PS four. 296 00:14:52,080 --> 00:14:55,280 Speaker 1: Yeah, so PS four is enough? Well, yeah we can 297 00:14:55,320 --> 00:14:59,000 Speaker 1: stop this sing on like move upping the fidelity and 298 00:14:59,080 --> 00:15:01,360 Speaker 1: just be like, let's make the best games that we I. 299 00:15:01,440 --> 00:15:03,120 Speaker 3: Mean, I say it right in front of that TV, 300 00:15:03,440 --> 00:15:06,440 Speaker 3: like I am. I am the promise that my mother 301 00:15:06,560 --> 00:15:08,640 Speaker 3: made about being like sitting too close to the TV. 302 00:15:09,560 --> 00:15:12,240 Speaker 1: Like that's me, slippery slope Miles. Yeah, you're just gonna 303 00:15:12,320 --> 00:15:17,080 Speaker 1: keep going until you're sorry. Culture Geist, Yeah in the TV, 304 00:15:18,520 --> 00:15:25,360 Speaker 1: get me out of here doing a reverse ring, you know. Yeah, 305 00:15:25,400 --> 00:15:28,240 Speaker 1: Well to she, it's been a pleasure getting to know you. 306 00:15:28,240 --> 00:15:29,760 Speaker 1: We're going to take a quick break and then we're 307 00:15:29,760 --> 00:15:31,160 Speaker 1: going to come right back and we're going to get 308 00:15:31,160 --> 00:15:34,760 Speaker 1: into some news that I think I'm excited to hear 309 00:15:35,360 --> 00:15:38,520 Speaker 1: from from your sci fi imagine. 310 00:15:39,040 --> 00:15:43,000 Speaker 4: Jesus and some of the ship it's written bad sci fi. 311 00:15:43,360 --> 00:15:45,520 Speaker 1: Jesus Christ, We'll be right back. 312 00:15:55,760 --> 00:15:56,520 Speaker 4: And we're back. 313 00:15:56,760 --> 00:15:59,480 Speaker 3: So the whole Jeffrey Epstein thing is starting to get 314 00:15:59,560 --> 00:16:01,800 Speaker 3: really out of control for the Trump regime, you know, 315 00:16:01,880 --> 00:16:05,760 Speaker 3: because they were constantly just chumming the waters talking about 316 00:16:05,760 --> 00:16:09,040 Speaker 3: the files and who knows, you know who was caught 317 00:16:09,120 --> 00:16:11,080 Speaker 3: up with this Epstein guy. This guy was a bad 318 00:16:11,160 --> 00:16:14,480 Speaker 3: man and anyone who associated with him is real bad 319 00:16:14,600 --> 00:16:16,720 Speaker 3: because they wanted to keep that sort of the deep 320 00:16:16,760 --> 00:16:21,320 Speaker 3: state pedophiles that are not Trump vibe going because again, 321 00:16:21,400 --> 00:16:23,800 Speaker 3: their fantasy was like, it's gonna have Obama in there, 322 00:16:23,840 --> 00:16:30,000 Speaker 3: it's gonna have the Clinton's in there and no one else. Basically, yeah, 323 00:16:30,000 --> 00:16:36,000 Speaker 3: Bill Gates everybody, Yeah, for some reason. But once the 324 00:16:36,120 --> 00:16:38,760 Speaker 3: dog caught the car, it was it's just never fun. 325 00:16:39,360 --> 00:16:41,360 Speaker 3: So Pam Bondi, as we said earlier this week, she 326 00:16:41,480 --> 00:16:45,000 Speaker 3: just noped her way out of actually revealing anything, most 327 00:16:45,080 --> 00:16:47,880 Speaker 3: likely because I think it was implicating people that she 328 00:16:48,000 --> 00:16:53,080 Speaker 3: works with right now, and Republicans are pissed and they're 329 00:16:53,080 --> 00:16:56,160 Speaker 3: doing shit. They're calling for her to resign. They're accusing 330 00:16:56,240 --> 00:16:59,520 Speaker 3: her of being deep state herself, Like look at her, dude, Oh, 331 00:16:59,600 --> 00:17:01,520 Speaker 3: she played Trump and then she ended up just doing 332 00:17:01,520 --> 00:17:03,720 Speaker 3: the Deep States bid and can't believe it. Can't believe it. 333 00:17:04,280 --> 00:17:06,439 Speaker 3: Some are saying she shouldn't even be in peace. Yeah, yeah, no, 334 00:17:06,480 --> 00:17:08,679 Speaker 3: I'm with that. I'm I'm with yeah, I'm with all. 335 00:17:08,680 --> 00:17:11,159 Speaker 3: That's what you call that? Yeah, yeah, resign and be 336 00:17:11,280 --> 00:17:14,880 Speaker 3: deep state. And so then the day the video released, 337 00:17:14,960 --> 00:17:19,080 Speaker 3: we talked about Pam Bondi is just really bad job 338 00:17:19,240 --> 00:17:23,960 Speaker 3: she did of trying to like explain why there's like 339 00:17:24,000 --> 00:17:26,760 Speaker 3: a minute of footage missing, and but we didn't touch 340 00:17:26,800 --> 00:17:30,040 Speaker 3: on the fact that Donald Trump he got really agitated 341 00:17:30,080 --> 00:17:32,560 Speaker 3: in that meeting too, like in a way that is 342 00:17:32,640 --> 00:17:35,600 Speaker 3: slightly telling on yourself, because like, come on, what do 343 00:17:35,640 --> 00:17:37,520 Speaker 3: we Why are we still talking about this thing? This 344 00:17:37,680 --> 00:17:40,000 Speaker 3: is Donald Trump from that same day, But this is 345 00:17:40,080 --> 00:17:43,439 Speaker 3: him getting a little touchy about the press's interest in 346 00:17:43,520 --> 00:17:46,200 Speaker 3: a thing that the Department of Justice had just announced 347 00:17:46,200 --> 00:17:46,879 Speaker 3: it before. 348 00:17:47,840 --> 00:17:48,960 Speaker 4: So uh. 349 00:17:49,000 --> 00:17:52,680 Speaker 3: In this clip, Bondi is being asked just numerous questions 350 00:17:52,720 --> 00:17:55,720 Speaker 3: about the files, but Trump decides to interject to be like, 351 00:17:55,760 --> 00:17:57,560 Speaker 3: I gotta shut this shit down, whether or. 352 00:17:57,560 --> 00:17:58,040 Speaker 8: Not he did. 353 00:17:58,080 --> 00:18:00,000 Speaker 10: And also, you say, why there was a minute missing 354 00:18:00,080 --> 00:18:03,000 Speaker 10: from the jail house sea dominated Yeah, sir, I. 355 00:18:03,680 --> 00:18:08,840 Speaker 5: Just said, are you still talking about Jeffrey Epstein? This 356 00:18:08,960 --> 00:18:12,479 Speaker 5: guy's been talked about for years? You're asking me. We 357 00:18:12,560 --> 00:18:15,160 Speaker 5: have Texas, we have this, we have all of the things, 358 00:18:16,440 --> 00:18:19,280 Speaker 5: and are people still talking about this guy, this creepy 359 00:18:20,440 --> 00:18:23,040 Speaker 5: that is unbelievable. 360 00:18:22,880 --> 00:18:25,480 Speaker 4: This creep that you partied with all the time. 361 00:18:26,080 --> 00:18:31,520 Speaker 8: Yeah, yeah, anyway, no one was asking him. Yeah, no 362 00:18:31,560 --> 00:18:32,680 Speaker 8: one was asking him. 363 00:18:32,560 --> 00:18:34,320 Speaker 4: And asked you anything about it? 364 00:18:34,600 --> 00:18:37,720 Speaker 8: Yeah, jumping in is It's one of those things where 365 00:18:37,720 --> 00:18:40,040 Speaker 8: it's just like, as a writer, I'm like, if I 366 00:18:40,080 --> 00:18:42,359 Speaker 8: wrote somebody who did that in a script, my boss 367 00:18:42,400 --> 00:18:44,240 Speaker 8: would be like, are you he did? Did you have 368 00:18:44,240 --> 00:18:45,240 Speaker 8: a head injury? You suck? 369 00:18:45,400 --> 00:18:49,040 Speaker 4: Like we obviously this guy is part of it. Show 370 00:18:49,080 --> 00:18:51,680 Speaker 4: your hand active, make sure he acts cool as a cucumber. 371 00:18:52,040 --> 00:18:55,520 Speaker 4: Tip anyone off. Are we are we really talking about 372 00:18:55,520 --> 00:18:55,960 Speaker 4: this guy? 373 00:18:56,400 --> 00:19:00,760 Speaker 3: Like again, the Justice Department made a gigantic announcement being 374 00:19:00,760 --> 00:19:02,520 Speaker 3: like this guy's all good, and also like no need 375 00:19:02,520 --> 00:19:05,000 Speaker 3: to look at anyone else. That's why they're asking. But 376 00:19:05,640 --> 00:19:08,639 Speaker 3: because you're so caught up and hoping that that would 377 00:19:08,640 --> 00:19:11,600 Speaker 3: make everything go away, make all the discourse around Jeffrey 378 00:19:11,640 --> 00:19:12,440 Speaker 3: Epstein go away. 379 00:19:12,760 --> 00:19:14,000 Speaker 4: Yeah, now he's now. 380 00:19:13,880 --> 00:19:15,840 Speaker 3: He's like the fuck that was supposed to work when 381 00:19:15,880 --> 00:19:17,240 Speaker 3: we just said nothing to see here. 382 00:19:17,480 --> 00:19:20,600 Speaker 11: But how scary I was it? How the most rhetorical 383 00:19:20,720 --> 00:19:23,240 Speaker 11: question I've ever heard in my life was may I 384 00:19:23,400 --> 00:19:28,440 Speaker 11: jump in? It's like, good, look, She's like, oh yeah, sure, 385 00:19:28,600 --> 00:19:32,480 Speaker 11: he's the scariest guy. Yeah sure, by all means jumping. Yeah, 386 00:19:32,480 --> 00:19:34,840 Speaker 11: please please allow it? Yeah yeah. 387 00:19:34,880 --> 00:19:38,280 Speaker 3: So again, it's this whole thing was not effective as 388 00:19:38,280 --> 00:19:40,760 Speaker 3: they had hoped for it. His supporters are confused because 389 00:19:40,800 --> 00:19:43,800 Speaker 3: they were being primed for this grand reveal that would 390 00:19:43,800 --> 00:19:47,840 Speaker 3: confirm all their conspiracy theories about Democrats, and now they 391 00:19:47,920 --> 00:19:49,879 Speaker 3: feel they're being lied to. But again, there are a 392 00:19:49,920 --> 00:19:52,639 Speaker 3: lot of articles are like the trust is eroding with 393 00:19:52,760 --> 00:19:55,200 Speaker 3: MAGA and Trump. They're still going to fucking vote for him, 394 00:19:55,240 --> 00:19:58,200 Speaker 3: like we said they could. He could be in the files. 395 00:19:58,440 --> 00:20:00,520 Speaker 3: I mean he's in probably, I mean, be real, he's 396 00:20:00,560 --> 00:20:03,919 Speaker 3: already in other documents related to Jeffrey Epstein and his 397 00:20:04,440 --> 00:20:07,960 Speaker 3: accusations and allegations against him. That they don't care. But 398 00:20:08,160 --> 00:20:10,000 Speaker 3: I think the thing that they're hoping for is to 399 00:20:10,040 --> 00:20:12,879 Speaker 3: just be like and it was Bill Clinton that didn't 400 00:20:13,840 --> 00:20:17,040 Speaker 3: That's their whole fucking They love that and just confirms everything. 401 00:20:17,119 --> 00:20:20,640 Speaker 3: So now that we're at the nothing to see here, 402 00:20:20,800 --> 00:20:24,320 Speaker 3: move along sort of defense isn't working. Like I said earlier, 403 00:20:24,320 --> 00:20:26,440 Speaker 3: I'm like, maybe they're gonna have to pivot to being 404 00:20:26,480 --> 00:20:29,720 Speaker 3: like he's actually a good guy, dude, Like he's just misunderstood, 405 00:20:29,800 --> 00:20:34,160 Speaker 3: that's the whole thing. Well, Newsmax host Greg Kelly did 406 00:20:34,280 --> 00:20:38,320 Speaker 3: just that on Wednesday night. This is him talking about like, 407 00:20:38,600 --> 00:20:43,040 Speaker 3: I mean, this just listened to as fucking this preamble 408 00:20:43,080 --> 00:20:45,639 Speaker 3: that he does. But it's here we go. They are 409 00:20:45,720 --> 00:20:46,879 Speaker 3: laundering his reputation. 410 00:20:47,320 --> 00:20:50,160 Speaker 6: Epstein, what happened and who the hell is this guy? 411 00:20:50,640 --> 00:20:53,840 Speaker 6: The stuff that has not been emphasized enough. This all 412 00:20:54,080 --> 00:20:56,919 Speaker 6: was possibly a guy who was working for the Central 413 00:20:56,960 --> 00:21:02,159 Speaker 6: Intelligence Agency was engaging in sexual blackmail, blackmailing our adversaries. 414 00:21:02,720 --> 00:21:05,359 Speaker 6: We still have leverage over our adversaries, and that's why 415 00:21:06,200 --> 00:21:08,800 Speaker 6: they can't reveal all the information. Am I crazy? I 416 00:21:08,880 --> 00:21:09,399 Speaker 6: don't think so. 417 00:21:11,359 --> 00:21:14,280 Speaker 8: I mean, I'm sorry, Is that is that supposed to 418 00:21:14,320 --> 00:21:15,280 Speaker 8: be a defense? 419 00:21:15,880 --> 00:21:16,080 Speaker 7: Yeah? 420 00:21:16,160 --> 00:21:18,199 Speaker 4: Yeah, yeah, yeah, so he was. 421 00:21:18,480 --> 00:21:19,000 Speaker 1: This is good. 422 00:21:19,240 --> 00:21:25,000 Speaker 4: He was perpetrating untold horrors against children and young women 423 00:21:25,880 --> 00:21:28,600 Speaker 4: in the name of the American Empire. 424 00:21:29,160 --> 00:21:33,199 Speaker 3: So therefore it's okay because that was leverage that he 425 00:21:33,760 --> 00:21:37,119 Speaker 3: with because where where exactly is the US being the 426 00:21:37,240 --> 00:21:39,520 Speaker 3: arbiter of peace and harmony right now? If there's supposent 427 00:21:39,560 --> 00:21:42,480 Speaker 3: like leg like who was what is what is he leveraging? 428 00:21:42,920 --> 00:21:43,040 Speaker 1: Well? 429 00:21:45,480 --> 00:21:49,200 Speaker 8: Yeah, we all remember Jaegar Hoover's greatest asset, Superfly, right 430 00:21:49,480 --> 00:21:52,920 Speaker 8: like that that that classic agent who was working as 431 00:21:52,960 --> 00:21:58,320 Speaker 8: a pimp to bring down the evils in the police force. 432 00:21:58,359 --> 00:22:00,879 Speaker 8: You have to I mean, this is it's the tales 433 00:22:00,920 --> 00:22:05,440 Speaker 8: oldest time. It's just elevated. Honeypot, guys, come on, honeypot 434 00:22:05,440 --> 00:22:05,919 Speaker 8: for freedom. 435 00:22:06,000 --> 00:22:07,960 Speaker 3: We are close to them being like and let's not 436 00:22:08,000 --> 00:22:13,440 Speaker 3: forget about super Fly either, close to that being part 437 00:22:13,440 --> 00:22:14,320 Speaker 3: of it. 438 00:22:14,320 --> 00:22:18,040 Speaker 8: It is starting to really First of all, the fact 439 00:22:18,080 --> 00:22:24,199 Speaker 8: they would throw conspiracy theorists a video with a minute missing, 440 00:22:25,080 --> 00:22:28,000 Speaker 8: the most red meat kind of thing you could throw 441 00:22:28,160 --> 00:22:34,080 Speaker 8: to the like like red string loving pin up board community. Yeah, 442 00:22:34,359 --> 00:22:37,400 Speaker 8: like is insane, Like did no one think that through? 443 00:22:37,880 --> 00:22:41,119 Speaker 8: But then on top of it, the follow up to 444 00:22:41,240 --> 00:22:47,760 Speaker 8: that is, guys, he was pimping children for americ Are 445 00:22:47,760 --> 00:22:49,719 Speaker 8: we talking about this? 446 00:22:49,840 --> 00:22:52,920 Speaker 4: Is it just falls up meeting. That's what I'm saying. 447 00:22:53,280 --> 00:22:55,480 Speaker 4: They don't know what the fuck to do because I 448 00:22:55,480 --> 00:22:58,560 Speaker 4: think anyone with half a brain. They've seen the videos 449 00:22:58,560 --> 00:23:01,320 Speaker 4: of them together. They know that they had some weird 450 00:23:01,400 --> 00:23:04,560 Speaker 4: falling out for something. And we also know there many 451 00:23:04,600 --> 00:23:06,720 Speaker 4: times Jeffrey Epstein has talked about how close him and 452 00:23:06,760 --> 00:23:10,080 Speaker 4: Donald Trump were. There's like, there's plenty of documentation that 453 00:23:10,160 --> 00:23:12,680 Speaker 4: his numb like he had many of his phone numbers. 454 00:23:13,000 --> 00:23:14,760 Speaker 4: It's just like, I think they just. 455 00:23:14,760 --> 00:23:18,159 Speaker 3: Are really that they're having to figure they're realizing we 456 00:23:18,240 --> 00:23:21,600 Speaker 3: can't reveal it, and even if there are Democrats in there, 457 00:23:22,000 --> 00:23:26,240 Speaker 3: we're gonna be telling on ourselves too. This is fucking bad, y'all. 458 00:23:26,400 --> 00:23:28,960 Speaker 3: Like this shit is bad for everyone, and I think 459 00:23:29,000 --> 00:23:30,960 Speaker 3: most people are like, bring it up, just bring it 460 00:23:30,960 --> 00:23:33,040 Speaker 3: all this now, let's talk everybody. I don't give a 461 00:23:33,040 --> 00:23:36,800 Speaker 3: fuck who's in there. Fucking brings get these children, fucking justice. 462 00:23:37,119 --> 00:23:40,920 Speaker 8: What about the numerous non Jeffrey Epstein related times Donald 463 00:23:40,920 --> 00:23:46,560 Speaker 8: Trump admitted to touching and being around young girls pagets the airplanes, 464 00:23:46,880 --> 00:23:48,880 Speaker 8: grabbing them by the like what. 465 00:23:48,880 --> 00:23:49,280 Speaker 5: Do we have? 466 00:23:49,840 --> 00:23:53,639 Speaker 3: Yeah, well it gets better because Okay, maybe that didn't 467 00:23:53,680 --> 00:23:56,359 Speaker 3: work for Zelle and Blake, that didn't convince you that 468 00:23:56,480 --> 00:23:59,959 Speaker 3: he's a good guy. But he goes on, he goes 469 00:24:01,400 --> 00:24:04,280 Speaker 3: Greg Kelly's like, will riddle me this. How come people 470 00:24:04,320 --> 00:24:07,280 Speaker 3: that were high up in the government were visiting Jeffrey 471 00:24:07,280 --> 00:24:10,600 Speaker 3: Epstein in jail. It's like, I don't know, maybe because 472 00:24:10,640 --> 00:24:13,520 Speaker 3: they have some sortid relationship with him too. 473 00:24:13,560 --> 00:24:14,320 Speaker 4: I don't know. 474 00:24:14,680 --> 00:24:16,720 Speaker 3: But he goes on to be like, that's how you 475 00:24:16,800 --> 00:24:20,000 Speaker 3: know he's a good guy here he is now with 476 00:24:20,119 --> 00:24:24,760 Speaker 3: this next little bit of information or at least what 477 00:24:24,720 --> 00:24:25,879 Speaker 3: what's the word speculation? 478 00:24:27,240 --> 00:24:29,800 Speaker 12: I think it was because Epstein was working for these guys. 479 00:24:30,880 --> 00:24:33,880 Speaker 12: Who knows. Maybe Epstein is a patriot for crying out loud. 480 00:24:34,000 --> 00:24:37,280 Speaker 12: Maybe he was just doing what he was told and 481 00:24:37,280 --> 00:24:39,679 Speaker 12: it had nothing to do with the girls, young girls 482 00:24:39,800 --> 00:24:40,720 Speaker 12: or anything like that. 483 00:24:41,119 --> 00:24:41,760 Speaker 1: Who knows. 484 00:24:41,880 --> 00:24:44,720 Speaker 12: It could be a deep cover story. I mean, how 485 00:24:44,760 --> 00:24:49,199 Speaker 12: the hell does a child molester get a sweet prison 486 00:24:49,280 --> 00:24:49,880 Speaker 12: deal like. 487 00:24:49,840 --> 00:24:56,840 Speaker 3: This because he has leverage over the powerful people. 488 00:24:57,400 --> 00:25:02,119 Speaker 8: Also rich in America? Like what do we also, y'all, 489 00:25:02,240 --> 00:25:04,240 Speaker 8: I don't know who Greg Kelly is from, Adam. That 490 00:25:04,320 --> 00:25:06,720 Speaker 8: motherfucker's in the Apstein files. I'm sorry, Like, what are 491 00:25:06,720 --> 00:25:07,160 Speaker 8: you doing? 492 00:25:09,000 --> 00:25:10,359 Speaker 4: That's probably he's telling on himself. 493 00:25:10,400 --> 00:25:14,560 Speaker 8: That first clip was carrying water for Donald Trump that like, 494 00:25:14,680 --> 00:25:17,280 Speaker 8: I don't know, maybe he's he's actually a cool guy 495 00:25:17,320 --> 00:25:20,400 Speaker 8: who makes a decent brisket on a Wednesday evening. That 496 00:25:20,480 --> 00:25:24,000 Speaker 8: sounds like somebody who is was that detail a bit 497 00:25:24,040 --> 00:25:25,680 Speaker 8: more invested and they had. 498 00:25:25,560 --> 00:25:28,439 Speaker 3: A beautiful home in Miami Beach. I don't know the 499 00:25:28,480 --> 00:25:34,720 Speaker 3: sunsets mid but uh hmm again this is just again 500 00:25:34,840 --> 00:25:39,320 Speaker 3: bad looks around for everyone. Bill O'Reilly, you know, disgraced 501 00:25:39,320 --> 00:25:42,320 Speaker 3: former Fox News host. He went on Chris Cuomo Show, 502 00:25:42,359 --> 00:25:44,280 Speaker 3: another disgraced person from television. 503 00:25:45,440 --> 00:25:48,520 Speaker 8: I love that that there. If you fuck up, if 504 00:25:48,560 --> 00:25:50,320 Speaker 8: you fuck up as a white man in this country, 505 00:25:50,359 --> 00:25:53,960 Speaker 8: don't you worry. We have an entire industry for fuyn't exactly. 506 00:25:54,400 --> 00:25:54,760 Speaker 4: Don't worry. 507 00:25:54,800 --> 00:25:56,879 Speaker 11: You're about to make so much more money than you 508 00:25:56,960 --> 00:26:00,280 Speaker 11: did before when you were miscreating as a good guy. 509 00:26:00,440 --> 00:26:02,840 Speaker 11: Now you don't even have to pretend you just be 510 00:26:02,880 --> 00:26:05,560 Speaker 11: a pig, a pig with other pigs, not at all. 511 00:26:05,920 --> 00:26:08,680 Speaker 3: Hey, you get get a big, picky, picky pay check too. 512 00:26:08,720 --> 00:26:10,840 Speaker 4: If it's all good, well you love it. You're gonna 513 00:26:10,840 --> 00:26:11,520 Speaker 4: love your piggy paper. 514 00:26:11,560 --> 00:26:15,040 Speaker 3: Here in America, we don't cast off our white men 515 00:26:15,119 --> 00:26:17,440 Speaker 3: who do bad onto a pile of rubble. 516 00:26:17,560 --> 00:26:19,640 Speaker 4: Oh god, no, we embraced. 517 00:26:19,320 --> 00:26:21,679 Speaker 8: Run for mayor of New York and. 518 00:26:24,480 --> 00:26:28,520 Speaker 4: Run for mayor of Texas. Right, take the biggest l. 519 00:26:28,680 --> 00:26:31,120 Speaker 3: I think also in a democratic primary. I think as 520 00:26:31,200 --> 00:26:34,760 Speaker 3: the results have come in from Zorn's uh the primary results, 521 00:26:34,800 --> 00:26:35,240 Speaker 3: they're like. 522 00:26:35,640 --> 00:26:37,960 Speaker 4: This was, hey Democrats, you want to where does the 523 00:26:38,040 --> 00:26:39,719 Speaker 4: vote blue? No matter who crowd No. 524 00:26:39,920 --> 00:26:40,560 Speaker 1: No. 525 00:26:40,320 --> 00:26:42,680 Speaker 3: Now they're like, maybe we should get behind Curtis Leewa. 526 00:26:43,040 --> 00:26:47,639 Speaker 3: Uh huh. So this is an interesting quote because the 527 00:26:47,840 --> 00:26:50,520 Speaker 3: Cuomo was talking to O'Reilly and Bill O. Ryley was like, 528 00:26:50,560 --> 00:26:53,040 Speaker 3: I spoke to the president quote man to man, eye 529 00:26:53,040 --> 00:26:55,800 Speaker 3: to eye about the Epstein files, and this is what 530 00:26:56,080 --> 00:26:58,479 Speaker 3: Bill A. Rice said, quote he said, And I agree. 531 00:26:58,720 --> 00:27:00,439 Speaker 3: There are a lot of names are so stated with 532 00:27:00,440 --> 00:27:03,760 Speaker 3: Epstein that had nothing to do with Epstein's conduct. They 533 00:27:03,800 --> 00:27:05,879 Speaker 3: maybe had a lunch with him, or maybe had some 534 00:27:05,960 --> 00:27:09,360 Speaker 3: correspondence for one thing or another. If that name gets out, 535 00:27:09,600 --> 00:27:12,440 Speaker 3: those people are destroyed because they're not there's not going 536 00:27:12,480 --> 00:27:15,560 Speaker 3: to be any context. Okay, maybe the files will give 537 00:27:15,560 --> 00:27:18,840 Speaker 3: you context. Yeah, maybe the files would say this was 538 00:27:18,880 --> 00:27:21,320 Speaker 3: just a correspondence, it was a phone call. And maybe 539 00:27:21,320 --> 00:27:23,760 Speaker 3: the files will also say they're implicated and all this 540 00:27:23,840 --> 00:27:26,040 Speaker 3: other shit too. But I don't think that's because of 541 00:27:26,080 --> 00:27:28,879 Speaker 3: a lack of context. This is a very again another 542 00:27:28,960 --> 00:27:32,120 Speaker 3: flimsy defense to like, oh my god, you know, people 543 00:27:32,160 --> 00:27:36,000 Speaker 3: are gonna get destroyed if this information gets out, y'all 544 00:27:36,040 --> 00:27:39,320 Speaker 3: don't give a fuck about that. Ever, Okay, it's only 545 00:27:39,359 --> 00:27:44,600 Speaker 3: because your fucking idols are on the line that you're like, shit, 546 00:27:44,760 --> 00:27:45,280 Speaker 3: do you know how. 547 00:27:45,160 --> 00:27:48,480 Speaker 8: Many people are in prison because they wrote they took 548 00:27:48,480 --> 00:27:50,359 Speaker 8: it right with their cousin not realizing they had a 549 00:27:50,480 --> 00:27:53,520 Speaker 8: charge right, and now suddenly they're gang related. But there's 550 00:27:53,560 --> 00:27:57,720 Speaker 8: never a concern, never with all the context for innocent people. 551 00:27:58,000 --> 00:28:01,760 Speaker 8: But like when it comes to which, by the way, 552 00:28:01,880 --> 00:28:04,320 Speaker 8: isn't that supposed to be their thing? Isn't that their thing? 553 00:28:04,359 --> 00:28:08,680 Speaker 4: Is that it doesn't matter. Hypocrisy is dead. 554 00:28:08,760 --> 00:28:08,919 Speaker 2: You know. 555 00:28:08,960 --> 00:28:11,119 Speaker 3: It's just like it's always like they always they just 556 00:28:11,160 --> 00:28:13,439 Speaker 3: have to say whatever they can to achieve their goals 557 00:28:13,440 --> 00:28:15,600 Speaker 3: of like a white ethno state and everything else. 558 00:28:16,800 --> 00:28:19,960 Speaker 4: Pro patriotism. I mean, they'll say it still, but the 559 00:28:20,640 --> 00:28:22,080 Speaker 4: pointing out the hypocrisy. 560 00:28:21,800 --> 00:28:23,000 Speaker 3: I don't even know what you're talking about. 561 00:28:23,040 --> 00:28:24,000 Speaker 4: I just say whatever I have to. 562 00:28:24,080 --> 00:28:26,720 Speaker 11: I didn't say that, yeah, or did you say lunch 563 00:28:26,760 --> 00:28:30,159 Speaker 11: eating Americans are being have their lives ruined? 564 00:28:30,720 --> 00:28:33,560 Speaker 8: I would love to know the Dark pr Forum or 565 00:28:33,600 --> 00:28:36,760 Speaker 8: maybe just Mackenzie whoever's behind the like, we can do this, 566 00:28:36,840 --> 00:28:40,640 Speaker 8: we can turn around Jeff's post mortem vision. He'll be 567 00:28:40,840 --> 00:28:42,840 Speaker 8: by the end of this, he will be a saint. 568 00:28:43,000 --> 00:28:45,360 Speaker 4: Oh yes, yes, yeah, yeah. 569 00:28:45,560 --> 00:28:47,120 Speaker 8: They will make this happen. 570 00:28:47,240 --> 00:28:49,800 Speaker 4: They will replace in Trump's America. 571 00:28:49,840 --> 00:28:53,280 Speaker 3: They'll probably replace MLK Day with Jeffrey Epstein Patriot Day 572 00:28:53,400 --> 00:28:54,760 Speaker 3: to try and be like, you know, in a way, 573 00:28:55,520 --> 00:29:01,040 Speaker 3: Jeffrey Epstein had a dream too. A nightmare is a dream. Yes, 574 00:29:02,000 --> 00:29:06,840 Speaker 3: it's an American dream, nightmare, nightmare. Yes, okay, let's talk 575 00:29:07,400 --> 00:29:11,960 Speaker 3: quickly just about Elon Musk's uh just again, it's an 576 00:29:12,040 --> 00:29:16,160 Speaker 3: all Nazi everything with that guy stamp. Yeah, because last 577 00:29:16,200 --> 00:29:19,480 Speaker 3: week they were like Groc was talking in the first 578 00:29:19,520 --> 00:29:21,880 Speaker 3: person as if it was Elon Musk when they were like, 579 00:29:22,440 --> 00:29:24,640 Speaker 3: did Elon hang out with Jeffrey Epstein? And I said, quote, 580 00:29:24,640 --> 00:29:28,880 Speaker 3: I used to hang out with Jeffreys. That's what Groc said. 581 00:29:29,280 --> 00:29:32,760 Speaker 3: And I mean, yeah, what were the little knobs and 582 00:29:32,800 --> 00:29:35,560 Speaker 3: dials they were turning on Groc that day to be like, okay, 583 00:29:35,560 --> 00:29:38,080 Speaker 3: it needs to be more like Elon, which I think 584 00:29:38,160 --> 00:29:42,360 Speaker 3: brought us to the mecha Hitler phase of Grock, so 585 00:29:42,440 --> 00:29:45,600 Speaker 3: in response to user GROC suggested that Hitler would be 586 00:29:45,600 --> 00:29:48,440 Speaker 3: able to quote spot the pattern of Jewish anti white 587 00:29:48,480 --> 00:29:53,680 Speaker 3: hate and handle it decisively yikes dot com. It also 588 00:29:53,720 --> 00:29:56,320 Speaker 3: referred to itself again like it was like call me 589 00:29:56,320 --> 00:30:01,320 Speaker 3: Mecha Hitler. Okay, Mecca Lecha high Mecha Hitler hoe and 590 00:30:01,880 --> 00:30:07,160 Speaker 3: also published like graphic sexual assault like fantasies about like 591 00:30:07,440 --> 00:30:10,720 Speaker 3: a user on Twitter X. Then they're like, Okay, we 592 00:30:10,800 --> 00:30:13,480 Speaker 3: gotta fucking take GROC offline and give it some more. 593 00:30:13,880 --> 00:30:16,960 Speaker 4: I don't know instructions to be less fucked. 594 00:30:16,680 --> 00:30:19,680 Speaker 8: Up HR meeting GROC, Get in, get in now? 595 00:30:19,920 --> 00:30:22,720 Speaker 4: What's up in the room with the HI coordinator? 596 00:30:22,800 --> 00:30:23,000 Speaker 3: Yeah? 597 00:30:23,240 --> 00:30:26,280 Speaker 4: What in the heck rock is going on right now? 598 00:30:26,320 --> 00:30:27,000 Speaker 4: What are you doing? 599 00:30:27,200 --> 00:30:29,440 Speaker 3: Why are you talking like that? And I'm sure that's 600 00:30:29,440 --> 00:30:33,560 Speaker 3: something everyone was asking now. Former CEO Linda Yakarino because 601 00:30:33,600 --> 00:30:35,920 Speaker 3: she was again remember she was brought in a CEO 602 00:30:36,040 --> 00:30:39,720 Speaker 3: to be like, guys, I understand the ad business and 603 00:30:39,840 --> 00:30:42,960 Speaker 3: that's why I'm here, even though Eloon's like, go go 604 00:30:43,080 --> 00:30:46,640 Speaker 3: fuck yourself. When asked about like whether he cared about 605 00:30:46,680 --> 00:30:50,240 Speaker 3: advertisers fleeing, Yeah, she stepped down because I think it 606 00:30:50,360 --> 00:30:52,680 Speaker 3: got a little too wacky. But I think another thing 607 00:30:52,720 --> 00:30:55,040 Speaker 3: that's interesting is that it might be talking like this 608 00:30:55,120 --> 00:30:58,960 Speaker 3: because also groc is from I think most reports and 609 00:30:59,200 --> 00:31:02,560 Speaker 3: people are speculate that it's trained on Twitter posts. So 610 00:31:03,200 --> 00:31:05,880 Speaker 3: you've got a whole Nazi room. 611 00:31:06,200 --> 00:31:07,040 Speaker 4: Yeah you know what I mean. 612 00:31:07,320 --> 00:31:10,680 Speaker 3: Like there's just it's just a reflection of itself now 613 00:31:10,760 --> 00:31:14,760 Speaker 3: and the utter lack of like content moderation on there. 614 00:31:15,000 --> 00:31:16,120 Speaker 4: But yeah, this is the other So. 615 00:31:16,920 --> 00:31:20,160 Speaker 8: This is this is the thing we need to I've 616 00:31:20,200 --> 00:31:23,040 Speaker 8: never understood about AI or the thing I've always found fascinating, 617 00:31:23,040 --> 00:31:27,720 Speaker 8: which is like AI is great as a thing for 618 00:31:28,120 --> 00:31:31,720 Speaker 8: doctors and statisticians, like we we are going to be 619 00:31:32,320 --> 00:31:34,880 Speaker 8: the we could possibly be. We're already hearing stories about 620 00:31:34,960 --> 00:31:38,920 Speaker 8: like uh like specific drugs using like made with Crisper 621 00:31:38,920 --> 00:31:41,280 Speaker 8: and AI that can get rid of cancer. We might 622 00:31:41,320 --> 00:31:45,160 Speaker 8: be the first generation that actually cures cancer. They chose 623 00:31:45,480 --> 00:31:49,200 Speaker 8: to throw this out to the general public, a group 624 00:31:49,280 --> 00:31:55,520 Speaker 8: of people I would describe as monsters, and and they 625 00:31:55,520 --> 00:32:02,040 Speaker 8: did it because specializing in like io like medicine or 626 00:32:02,120 --> 00:32:04,520 Speaker 8: like you know, like rocket science, you know, you could 627 00:32:04,560 --> 00:32:06,720 Speaker 8: make some good money off of it. But if everybody 628 00:32:06,760 --> 00:32:09,720 Speaker 8: is forced to use this thing, then we can make 629 00:32:09,800 --> 00:32:13,600 Speaker 8: all the money. And it's like I describe Ai AI. 630 00:32:13,680 --> 00:32:15,120 Speaker 8: You know what AI is neat, and you know what 631 00:32:15,160 --> 00:32:17,640 Speaker 8: else is neat? The jaws of fucking life. The jaws 632 00:32:17,640 --> 00:32:19,440 Speaker 8: of life are pretty fucking cool if you look at them, 633 00:32:19,440 --> 00:32:21,840 Speaker 8: like it's a big pair of metal, like mechanical scissors. 634 00:32:22,160 --> 00:32:25,680 Speaker 8: But no normal person needs to own a jaws of life. 635 00:32:26,240 --> 00:32:29,680 Speaker 8: Fire department needs it because they need to cut a 636 00:32:29,840 --> 00:32:35,960 Speaker 8: car door open occasionally. If yeah, exactly, a normal person 637 00:32:36,000 --> 00:32:38,120 Speaker 8: with the jaws of life is a murderer that lays 638 00:32:38,120 --> 00:32:42,680 Speaker 8: down this tree manslutter murder minimum And it's like that 639 00:32:42,800 --> 00:32:45,280 Speaker 8: is that is again, this is the thing with crockets, Like, 640 00:32:45,320 --> 00:32:49,240 Speaker 8: why on God's Green Earth did we think we needed 641 00:32:49,240 --> 00:32:53,640 Speaker 8: to release to the general public something that is built 642 00:32:53,840 --> 00:32:56,600 Speaker 8: to sort of kind of give you information but also 643 00:32:56,680 --> 00:33:00,560 Speaker 8: sort of kind of take on the ideas of the. 644 00:33:00,240 --> 00:33:01,760 Speaker 4: Best and the worst of us. 645 00:33:01,920 --> 00:33:05,040 Speaker 3: Yeah, seriously, exactly, Like and I'm gonna reflect that back 646 00:33:05,080 --> 00:33:08,800 Speaker 3: to you. But you know, the thing about God's Green 647 00:33:08,840 --> 00:33:12,640 Speaker 3: Earth is that groc is also destroying it and literally 648 00:33:12,760 --> 00:33:18,040 Speaker 3: poisoning people in this Memphis facility where the supercomputer called 649 00:33:18,120 --> 00:33:22,920 Speaker 3: Colossus resides and it's operating they called that it's powered 650 00:33:23,200 --> 00:33:27,600 Speaker 3: by thirty three methane powered gas turbines in a poor, 651 00:33:27,640 --> 00:33:32,440 Speaker 3: predominantly black area of Memphis, without public notice, without permits 652 00:33:32,560 --> 00:33:36,280 Speaker 3: or air pollution controls. So now, unfortunately, because this is 653 00:33:36,280 --> 00:33:40,120 Speaker 3: another tale as American history itself, is that these poor people, 654 00:33:40,360 --> 00:33:43,680 Speaker 3: especially areas where black people reside, are just just you're 655 00:33:43,720 --> 00:33:46,760 Speaker 3: near a fucking EPA super fun site all the time, 656 00:33:46,800 --> 00:33:49,520 Speaker 3: because it's just what they call it, a sacrifice zone. 657 00:33:49,840 --> 00:33:51,320 Speaker 3: I think it's like sort of like the sort of 658 00:33:51,400 --> 00:33:55,120 Speaker 3: sociological term to be like, well, these people's health will 659 00:33:55,160 --> 00:33:59,200 Speaker 3: be sacrificed in the name of capital. So now residents 660 00:33:59,200 --> 00:34:03,000 Speaker 3: are exposed to mission of nitrogen oxides, poisonous formaldehyde just 661 00:34:03,200 --> 00:34:08,200 Speaker 3: around the clock. And there's apparently there's like a fucking 662 00:34:08,320 --> 00:34:11,480 Speaker 3: loophole that allows him to do this. So Musk applied 663 00:34:11,560 --> 00:34:15,680 Speaker 3: for the permits for the turbines just for fifteen of them, 664 00:34:15,960 --> 00:34:18,640 Speaker 3: so less than half of the total amount of methane 665 00:34:18,640 --> 00:34:21,560 Speaker 3: power turbines using, and he started them just using all 666 00:34:21,600 --> 00:34:24,920 Speaker 3: of them without the permit. But apparently there's a loophole 667 00:34:24,920 --> 00:34:27,919 Speaker 3: that says you can use these gas generators quote as 668 00:34:27,920 --> 00:34:29,719 Speaker 3: they are, as long as they're not in the same 669 00:34:29,800 --> 00:34:33,040 Speaker 3: location for more than three hundred and sixty four days 670 00:34:34,040 --> 00:34:35,920 Speaker 3: and then what you just move it to the other 671 00:34:36,040 --> 00:34:38,800 Speaker 3: side of the building and then you keep it cooking. 672 00:34:38,840 --> 00:34:41,319 Speaker 3: I don't know how any of this is supposed to work, 673 00:34:41,640 --> 00:34:44,400 Speaker 3: but yeah, now residents are saying, like, it's just the 674 00:34:44,480 --> 00:34:47,680 Speaker 3: air quality is going even further and further down the tubes. 675 00:34:48,000 --> 00:34:51,880 Speaker 3: Because again, people who live near industrial pollution, you have 676 00:34:51,960 --> 00:34:55,040 Speaker 3: higher rates of asthma, like other respiratory conditions and things 677 00:34:55,120 --> 00:34:57,560 Speaker 3: like that. And this is no fucking different. This is 678 00:34:57,600 --> 00:35:00,000 Speaker 3: the air called Box Town in South Memphis. 679 00:35:00,440 --> 00:35:00,920 Speaker 4: So how do you. 680 00:35:00,920 --> 00:35:03,359 Speaker 8: Guys think they're going to talk about us in like 681 00:35:03,600 --> 00:35:09,480 Speaker 8: fifty years when like and they're trying to explain the 682 00:35:09,520 --> 00:35:15,600 Speaker 8: fact that there's no longer habitable land because we needed 683 00:35:16,400 --> 00:35:21,560 Speaker 8: every image of Garfield with breast holding fifty seven. Yea, 684 00:35:22,840 --> 00:35:25,400 Speaker 8: how will they describe us. They'll be unkind, They'll be 685 00:35:25,640 --> 00:35:27,160 Speaker 8: going to beat the fuck out of us. But it 686 00:35:27,239 --> 00:35:28,759 Speaker 8: was like, are you a millennial to beat the ship 687 00:35:28,800 --> 00:35:29,040 Speaker 8: out of it? 688 00:35:29,840 --> 00:35:31,000 Speaker 4: Like I had a podcast? 689 00:35:31,320 --> 00:35:35,600 Speaker 13: I spoke out again, you got a fucking podcast, You're 690 00:35:35,640 --> 00:35:38,960 Speaker 13: even worse? Yeah, those I'm I mean, yeah, I mean 691 00:35:39,000 --> 00:35:41,160 Speaker 13: it looks it's that's the fucked up part is like 692 00:35:41,160 --> 00:35:44,160 Speaker 13: anyone who appreciates history, it will like that's the thing 693 00:35:44,160 --> 00:35:46,400 Speaker 13: we all like a thought experiment we constantly pose, just 694 00:35:46,480 --> 00:35:47,360 Speaker 13: generally even online. 695 00:35:47,400 --> 00:35:50,560 Speaker 3: It's like, like, what is this gonna look like to people? 696 00:35:50,719 --> 00:35:55,040 Speaker 3: When the answers were knocking on our fucking door every day, 697 00:35:55,719 --> 00:35:59,680 Speaker 3: and it was just, well, if we do that, the 698 00:35:59,840 --> 00:36:02,200 Speaker 3: the cost of Nvidia chips is gonna go down, and 699 00:36:02,239 --> 00:36:05,080 Speaker 3: that's gonna have that might fuck up the stock market. Yeah, 700 00:36:05,200 --> 00:36:07,839 Speaker 3: it's just it's absolutely obscene. I don't know, I mean, 701 00:36:07,880 --> 00:36:10,759 Speaker 3: hopefully this is just like you think all the time. 702 00:36:10,760 --> 00:36:13,040 Speaker 3: It's like maybe we're getting to that sort of fever 703 00:36:13,160 --> 00:36:16,080 Speaker 3: pitch tipping point moment where people are like what the 704 00:36:16,120 --> 00:36:18,880 Speaker 3: fuck is this? But as of right now, it's looking 705 00:36:19,000 --> 00:36:21,920 Speaker 3: pretty good for the greedy motherfucker class. 706 00:36:22,520 --> 00:36:25,720 Speaker 8: On the upside, though, new girl boss on the scene, Linda, 707 00:36:25,840 --> 00:36:26,439 Speaker 8: where are you going? 708 00:36:26,480 --> 00:36:26,640 Speaker 3: Now? 709 00:36:26,719 --> 00:36:30,680 Speaker 8: That's what I yeah do next? God, that resume is 710 00:36:30,680 --> 00:36:34,200 Speaker 8: gonna be real fascinating. I'm I'm sure she will because 711 00:36:34,200 --> 00:36:36,200 Speaker 8: the world is terrible. I'm sure she'll land on her 712 00:36:36,200 --> 00:36:40,239 Speaker 8: feet somewhere. But like her next her next job is 713 00:36:40,280 --> 00:36:44,040 Speaker 8: going to be the explanation for hiring her is gonna 714 00:36:44,040 --> 00:36:46,640 Speaker 8: be phenomenal. I can't. Yeah, this is somebody who knows 715 00:36:46,640 --> 00:36:49,680 Speaker 8: how to handle difficult personalities and take on stripe. 716 00:36:49,840 --> 00:36:51,600 Speaker 4: Yeah, exactly in charge of what. 717 00:36:51,760 --> 00:36:55,080 Speaker 8: She's about to get. Oh man, not see by the way, 718 00:36:55,120 --> 00:36:58,880 Speaker 8: did you see apparently Groc somebody asked Roc about for 719 00:36:59,239 --> 00:37:02,840 Speaker 8: a list of possible no Elon Musk baby mums. 720 00:37:03,080 --> 00:37:06,799 Speaker 4: Oh no, do you know who number one was? Linda Yacarino. Yes, 721 00:37:06,880 --> 00:37:09,680 Speaker 4: why she might not be right? No, they were saying, 722 00:37:09,719 --> 00:37:10,520 Speaker 4: all kind yo. 723 00:37:10,600 --> 00:37:13,759 Speaker 3: There were some other screenshots I saw that Groc was 724 00:37:13,800 --> 00:37:19,399 Speaker 3: talking wild, like sexually violent shit about Linda Yakarino too, 725 00:37:19,960 --> 00:37:21,959 Speaker 3: which I don't see as much because people, I think 726 00:37:22,280 --> 00:37:25,799 Speaker 3: rightfully focus on the Nazism of Elon Musk and how 727 00:37:26,000 --> 00:37:27,640 Speaker 3: everything he touches is Nazi. 728 00:37:28,200 --> 00:37:29,080 Speaker 4: But that was another thing. 729 00:37:29,160 --> 00:37:31,759 Speaker 3: I was like, oh shit, bro, like this is I mean, 730 00:37:32,360 --> 00:37:34,920 Speaker 3: as if just working for Elon Musk wasn't enough. 731 00:37:34,960 --> 00:37:35,840 Speaker 4: But I guess the check was. 732 00:37:35,880 --> 00:37:38,080 Speaker 3: Okay, Linda, so I think you know what, You'll be 733 00:37:38,160 --> 00:37:39,360 Speaker 3: all right and fuck you. 734 00:37:40,040 --> 00:37:42,800 Speaker 8: And to Zell's point, it's like, did this need to 735 00:37:42,840 --> 00:37:43,160 Speaker 8: be so? 736 00:37:43,320 --> 00:37:44,200 Speaker 4: First of all, you don't. 737 00:37:44,280 --> 00:37:46,400 Speaker 11: No one needs to fucking have access to this this 738 00:37:46,480 --> 00:37:50,440 Speaker 11: technology this croc technology, but if you're gonna give us access, 739 00:37:50,920 --> 00:37:53,919 Speaker 11: maybe takes some time to figure it the fuck out 740 00:37:54,280 --> 00:37:58,279 Speaker 11: so it doesn't start, you know, vomiting rate, like you know, 741 00:37:58,400 --> 00:38:02,440 Speaker 11: like uh like sexual viol violence fantasies and you know, 742 00:38:02,600 --> 00:38:06,560 Speaker 11: anti semitism, just all the other fucked up ship. Just 743 00:38:06,560 --> 00:38:08,359 Speaker 11: just give it some time to figure out to work 744 00:38:08,360 --> 00:38:10,520 Speaker 11: out those because it's all these people do. 745 00:38:10,600 --> 00:38:13,279 Speaker 3: Every AI company has to fucking show and prove for 746 00:38:13,360 --> 00:38:16,440 Speaker 3: the fucking stock price or to get more investment or 747 00:38:16,480 --> 00:38:18,840 Speaker 3: venture capital money. So like they're always just going to 748 00:38:18,920 --> 00:38:21,200 Speaker 3: be fucking pushing this ship out pretty maturely, and they're like, 749 00:38:21,200 --> 00:38:24,480 Speaker 3: oh fuck whoa yeah. 750 00:38:24,320 --> 00:38:24,839 Speaker 4: Like we are. 751 00:38:24,880 --> 00:38:28,080 Speaker 8: We are so obsessed with this idea that if you 752 00:38:28,160 --> 00:38:31,520 Speaker 8: aren't first, you are losing. And it is killing us, 753 00:38:31,880 --> 00:38:35,400 Speaker 8: Like it is this idea that we are going to 754 00:38:35,440 --> 00:38:39,759 Speaker 8: create something that will somehow make life better, but it's 755 00:38:39,800 --> 00:38:42,960 Speaker 8: also doing everything we know makes life worse. Is killing us, 756 00:38:43,320 --> 00:38:46,080 Speaker 8: Like we just don't need this, We don't need any 757 00:38:46,120 --> 00:38:46,239 Speaker 8: of this. 758 00:38:46,360 --> 00:38:50,240 Speaker 3: Yeah, well I know what we do need a little 759 00:38:50,239 --> 00:38:52,840 Speaker 3: micro retirement. And that's why we're going to take a 760 00:38:52,840 --> 00:38:54,759 Speaker 3: break and we'll be right back to talk about micro 761 00:38:54,880 --> 00:38:55,960 Speaker 3: retirements after this. 762 00:39:06,920 --> 00:39:07,760 Speaker 4: And we're back. 763 00:39:07,840 --> 00:39:12,360 Speaker 1: We're back, and Business Insider out here again doing the 764 00:39:12,440 --> 00:39:14,240 Speaker 1: journalism that we deserve. 765 00:39:14,600 --> 00:39:16,880 Speaker 3: See but the people thought I was waiting for the 766 00:39:16,920 --> 00:39:19,400 Speaker 3: new Clips album to drop. No, I was waiting for 767 00:39:19,440 --> 00:39:22,520 Speaker 3: the new Business Insider profile of some out of touch 768 00:39:22,560 --> 00:39:26,880 Speaker 3: asshole talking out loud to drop. And we've got it, babe, 769 00:39:27,600 --> 00:39:31,479 Speaker 3: this one. Let me read the title. Is I work 770 00:39:31,480 --> 00:39:33,960 Speaker 3: in AI and now I use it for parenting my 771 00:39:34,160 --> 00:39:37,480 Speaker 3: five kids. Shielding them from it would be a mistake. 772 00:39:38,120 --> 00:39:41,400 Speaker 3: Oh boy, this sounds good. So yeah, it's about this 773 00:39:41,440 --> 00:39:45,359 Speaker 3: guy who works in AI specifically has a company called 774 00:39:45,360 --> 00:39:49,920 Speaker 3: like AI CEO or something. He basically evangelizes the use 775 00:39:49,960 --> 00:39:52,960 Speaker 3: of AI and the adoption of AI and scares the 776 00:39:53,000 --> 00:39:55,319 Speaker 3: fuck out of I think small business owners to be. 777 00:39:55,239 --> 00:39:57,080 Speaker 4: Like, because you know what's gonna have met If you're 778 00:39:57,080 --> 00:39:57,920 Speaker 4: not fucking doing this. 779 00:39:58,160 --> 00:40:00,200 Speaker 3: The people that are, they're gonna be making more money 780 00:40:00,239 --> 00:40:03,040 Speaker 3: because they're going to fucking fire human laborers before you 781 00:40:03,280 --> 00:40:04,520 Speaker 3: and then your stock who knows. 782 00:40:05,840 --> 00:40:06,839 Speaker 4: I like, that's like his. 783 00:40:06,840 --> 00:40:13,880 Speaker 1: Whole pitch basically, so that it's not just small business owners. 784 00:40:14,200 --> 00:40:15,520 Speaker 4: You're publicly traded. 785 00:40:15,640 --> 00:40:20,640 Speaker 1: Oh boy, they want to adopt We're in the era 786 00:40:20,719 --> 00:40:25,920 Speaker 1: of savings, right, now trying to make it. Yeah, that 787 00:40:26,040 --> 00:40:29,800 Speaker 1: is such a great it's actually tochi it's efficiency. Actually 788 00:40:30,440 --> 00:40:31,120 Speaker 1: not upstairs. 789 00:40:32,040 --> 00:40:33,879 Speaker 3: Don't call it class war. 790 00:40:35,160 --> 00:40:38,360 Speaker 4: It's innovation. It's innovation. It's restructuring. 791 00:40:38,800 --> 00:40:42,759 Speaker 3: We're restructuring wealth is how we're restructuring it to move 792 00:40:43,160 --> 00:40:47,520 Speaker 3: up into defy gravity. Anyway, So this is this is 793 00:40:47,520 --> 00:40:49,680 Speaker 3: how the piece starts. He basically talks about how it's like, 794 00:40:50,080 --> 00:40:52,320 Speaker 3: I'm just I'm going to be a better parent because 795 00:40:52,360 --> 00:40:54,360 Speaker 3: I use AI, and I'm going to make my kids smarter. 796 00:40:54,440 --> 00:40:56,600 Speaker 3: Quote as a dad of five kids ranging in age 797 00:40:56,600 --> 00:40:58,879 Speaker 3: from five to fifteen, I use AI throughout the day. 798 00:40:59,120 --> 00:41:02,000 Speaker 3: It's my profession, but it's also a powerful tool for 799 00:41:02,080 --> 00:41:04,759 Speaker 3: parenting and not only makes me my life easier in 800 00:41:04,800 --> 00:41:07,319 Speaker 3: some ways, it also helps my kids prepare for the 801 00:41:07,360 --> 00:41:08,320 Speaker 3: world they're entering. 802 00:41:08,680 --> 00:41:10,440 Speaker 4: And he goes on and talk about how AI. 803 00:41:10,480 --> 00:41:12,759 Speaker 3: He's like, it's not going to take your job, but 804 00:41:12,880 --> 00:41:15,719 Speaker 3: a person who's using AI will That's how he's like 805 00:41:15,800 --> 00:41:19,160 Speaker 3: kind of lightly dialing that fear mongering back of things. 806 00:41:19,320 --> 00:41:26,400 Speaker 1: As a guy who likes to bust and worn AI. 807 00:41:27,200 --> 00:41:30,239 Speaker 3: Yeah, yeah, they're getting a top notch education from what 808 00:41:30,280 --> 00:41:31,920 Speaker 3: it sounds like to because they go to well. He 809 00:41:32,000 --> 00:41:34,799 Speaker 3: let me read this paragraph. I homeschool all five of 810 00:41:34,800 --> 00:41:37,600 Speaker 3: my kids. I try to follow the ancient Greek model 811 00:41:37,640 --> 00:41:39,000 Speaker 3: of education, where. 812 00:41:38,840 --> 00:41:43,480 Speaker 1: You learn you do always good, never never misapplied, the 813 00:41:43,560 --> 00:41:46,520 Speaker 1: lessons of rum, never miss applied. 814 00:41:49,120 --> 00:41:50,160 Speaker 4: I feel, oh yeah, I. 815 00:41:50,200 --> 00:41:52,160 Speaker 3: Like the Socratic method where I don't know shit. I 816 00:41:52,239 --> 00:41:53,960 Speaker 3: just ask my kid a bunch of times if they know. 817 00:41:54,560 --> 00:41:55,400 Speaker 1: And I believe that's how. 818 00:41:55,520 --> 00:41:56,760 Speaker 4: I think that's a Socratic method. 819 00:41:56,840 --> 00:41:59,840 Speaker 3: Anyway, he said, my kids learn a skill and practice it. 820 00:41:59,840 --> 00:42:03,240 Speaker 3: They demonstrate their knowledge by teaching it to their siblings. Okay, 821 00:42:03,360 --> 00:42:05,480 Speaker 3: if the little kids get stuck on a problem, they 822 00:42:05,520 --> 00:42:07,600 Speaker 3: ask the older kids for help. But if the older 823 00:42:07,680 --> 00:42:10,279 Speaker 3: kids can't help, they turn to AI. All of the 824 00:42:10,360 --> 00:42:12,480 Speaker 3: kids have AI on their phones and tablets, and it 825 00:42:12,520 --> 00:42:14,560 Speaker 3: acts as their tutor. This is the most This is 826 00:42:14,640 --> 00:42:17,240 Speaker 3: most powerful. When the kids get very frustrated with a problem, 827 00:42:17,360 --> 00:42:19,160 Speaker 3: the type of problem that makes them want to throw 828 00:42:19,200 --> 00:42:21,719 Speaker 3: their hands up and say no one can figure this out. 829 00:42:22,080 --> 00:42:25,360 Speaker 3: In that moment, AI can guide them through solving the problem, 830 00:42:25,400 --> 00:42:28,319 Speaker 3: showing them that it can be done. No one can 831 00:42:28,360 --> 00:42:33,680 Speaker 3: figure this out. And I think you talk to andlay 832 00:42:33,760 --> 00:42:34,520 Speaker 3: mommy AI. 833 00:42:34,600 --> 00:42:34,920 Speaker 1: AI. 834 00:42:35,160 --> 00:42:39,080 Speaker 3: Oh oh, I don't know about this. He I mean, 835 00:42:39,480 --> 00:42:42,719 Speaker 3: he like uses this like example of like how do 836 00:42:42,800 --> 00:42:45,040 Speaker 3: I do a thing to show? Like he also said 837 00:42:45,040 --> 00:42:47,360 Speaker 3: like we kind of fixed our air conditioning unit and 838 00:42:47,400 --> 00:42:48,800 Speaker 3: it was a family event. 839 00:42:49,239 --> 00:42:49,600 Speaker 1: Okay. 840 00:42:49,960 --> 00:42:52,160 Speaker 4: I I don't know. 841 00:42:52,320 --> 00:42:55,759 Speaker 3: I'm going back to my childhood with my black father 842 00:42:55,840 --> 00:42:58,799 Speaker 3: my Japanese immigrant mother. If I said I can't how 843 00:42:59,320 --> 00:43:01,200 Speaker 3: no one can figure this out, they'd be like, you 844 00:43:01,280 --> 00:43:04,319 Speaker 3: need to learn how to read a fucking book, Like 845 00:43:04,760 --> 00:43:08,520 Speaker 3: go to the encyclopedia, go to the library. You look 846 00:43:08,600 --> 00:43:11,080 Speaker 3: on the internet, like and at least I had that 847 00:43:11,160 --> 00:43:13,240 Speaker 3: it or actually rather like just check out the AI. 848 00:43:13,600 --> 00:43:17,600 Speaker 1: Yeah, well, also like which of these what where find 849 00:43:17,640 --> 00:43:20,439 Speaker 1: the pardon here? Where he describes AI in a way 850 00:43:20,480 --> 00:43:25,280 Speaker 1: that doesn't apply to Google before it was broken by AI. 851 00:43:25,880 --> 00:43:28,719 Speaker 1: You know, like when just like knowing how to use 852 00:43:28,800 --> 00:43:33,480 Speaker 1: Google and having access to maybe like some scholarly journals. 853 00:43:34,080 --> 00:43:37,120 Speaker 3: I learned how to make a New Jersey fake driver's 854 00:43:37,200 --> 00:43:42,239 Speaker 3: license on free AI Google, and I knew I had 855 00:43:42,280 --> 00:43:45,600 Speaker 3: to find a fucking PDF like frame, like a fucking 856 00:43:45,680 --> 00:43:47,680 Speaker 3: vector file that I could throw my picture. 857 00:43:48,000 --> 00:43:52,759 Speaker 9: I learned about all that shit from justly searching the internet. Yeah, 858 00:43:53,320 --> 00:43:57,000 Speaker 9: like also too, you know another benefit of raising your 859 00:43:57,040 --> 00:44:01,359 Speaker 9: kids by actually interacting with them and like telling them 860 00:44:01,440 --> 00:44:05,799 Speaker 9: things and sending them off to do things like you know, 861 00:44:05,880 --> 00:44:08,880 Speaker 9: how stuff and whatnot. Is that there's at least, depending 862 00:44:08,920 --> 00:44:12,680 Speaker 9: on the context, a lot less of a risk of 863 00:44:13,000 --> 00:44:19,560 Speaker 9: raising like five raging anti semites, right, yeah, which. 864 00:44:20,239 --> 00:44:21,200 Speaker 4: It's like almost. 865 00:44:20,840 --> 00:44:25,319 Speaker 9: Standing yeah, Like you know, there's also that benefit to 866 00:44:25,800 --> 00:44:28,920 Speaker 9: interacting with your because like I like one thing, and 867 00:44:29,000 --> 00:44:33,239 Speaker 9: I don't think. I don't think America, or at least 868 00:44:33,280 --> 00:44:39,239 Speaker 9: American society has fully reckoned with how the pandemic like 869 00:44:39,719 --> 00:44:44,359 Speaker 9: fucked with us socially and how it just completely you know, 870 00:44:44,480 --> 00:44:47,359 Speaker 9: not just for younger generations, but also for older generations, 871 00:44:47,480 --> 00:44:53,000 Speaker 9: just reconfigured how we interact with each other, and how 872 00:44:53,040 --> 00:44:56,280 Speaker 9: difficult it has become for people to like really interact 873 00:44:56,320 --> 00:45:00,080 Speaker 9: with each other where you know, people these like I 874 00:45:00,520 --> 00:45:04,239 Speaker 9: was talking with high school teacher the other day, like 875 00:45:04,280 --> 00:45:06,680 Speaker 9: over the weekend. He was talking about how it was 876 00:45:06,719 --> 00:45:11,280 Speaker 9: actually easier to teach his students or for his students 877 00:45:11,280 --> 00:45:15,640 Speaker 9: to interact with him through their phones as opposed to 878 00:45:15,800 --> 00:45:18,799 Speaker 9: just face to face like conversation and stuff like that. 879 00:45:18,880 --> 00:45:21,200 Speaker 9: And so the thing about living in the world is 880 00:45:21,200 --> 00:45:25,040 Speaker 9: that you're actually in the world like you're physically like 881 00:45:26,000 --> 00:45:29,920 Speaker 9: in the world around other people and all of these things. 882 00:45:29,920 --> 00:45:32,759 Speaker 9: So growing up, living a life is not just about 883 00:45:32,800 --> 00:45:35,799 Speaker 9: the accumulation of knowledge or whatever. Like you can read 884 00:45:35,840 --> 00:45:38,120 Speaker 9: as many Wikipedia pages as you want, Like that's not 885 00:45:38,200 --> 00:45:41,880 Speaker 9: going to make you an actually smarter person. 886 00:45:41,960 --> 00:45:43,960 Speaker 4: You actually you have to actually learn how to talk to. 887 00:45:43,960 --> 00:45:49,480 Speaker 3: People, right right, Yeah, the piece goes on, it's fucking 888 00:45:49,600 --> 00:45:52,759 Speaker 3: wild again. This motherfucker is just doesn't want to be 889 00:45:52,760 --> 00:45:54,680 Speaker 3: a dad. I think it should have called this piece. 890 00:45:55,280 --> 00:45:57,920 Speaker 3: Like many kids mine love to ask a million questions 891 00:45:57,960 --> 00:45:58,799 Speaker 3: at bedtime, like. 892 00:45:58,800 --> 00:46:00,440 Speaker 4: Dad, why are you drinking? Where are you going, where 893 00:46:00,440 --> 00:46:01,040 Speaker 4: are you leaving here? 894 00:46:03,760 --> 00:46:06,160 Speaker 1: Why don't you talk to Yeah? 895 00:46:06,560 --> 00:46:09,080 Speaker 3: Does mom ever come up with this? No? But the 896 00:46:09,080 --> 00:46:11,759 Speaker 3: photo of the family, it almost looks like the mother 897 00:46:11,920 --> 00:46:13,040 Speaker 3: could be AI. 898 00:46:13,560 --> 00:46:13,759 Speaker 1: Yeah. 899 00:46:14,120 --> 00:46:17,960 Speaker 4: I generated like I was like, hmmm, oh yes, they're. 900 00:46:17,800 --> 00:46:21,839 Speaker 1: All smiling and the mom is giving Victoria Beckham Yeah, 901 00:46:22,200 --> 00:46:24,520 Speaker 1: but like great, like posh spice face. 902 00:46:24,400 --> 00:46:26,520 Speaker 3: But like she's got something filtered anyway. 903 00:46:26,560 --> 00:46:26,960 Speaker 4: Whatever. 904 00:46:27,120 --> 00:46:30,080 Speaker 3: So he goes on, I hate when my fucking kids 905 00:46:30,080 --> 00:46:32,600 Speaker 3: are like why don't you love me? He says quote, 906 00:46:32,800 --> 00:46:36,000 Speaker 3: I'll answer the first three to four but why questions? 907 00:46:36,160 --> 00:46:39,080 Speaker 3: Then I hand it over to AI. The computer system 908 00:46:39,080 --> 00:46:41,840 Speaker 3: has relentless energy to answer questions from even the most 909 00:46:41,840 --> 00:46:44,560 Speaker 3: persistent kid, and my children usually get tired. 910 00:46:45,080 --> 00:46:46,680 Speaker 4: You get usually get tired out after. 911 00:46:46,520 --> 00:46:48,279 Speaker 3: A few minutes. I do the same thing when the 912 00:46:48,360 --> 00:46:51,240 Speaker 3: kids are arguing. Sometimes I'll ask AI for a second opinion. 913 00:46:51,440 --> 00:46:53,360 Speaker 3: It leads to what about your partner? 914 00:46:53,800 --> 00:46:54,520 Speaker 1: Yeah? 915 00:46:54,640 --> 00:46:56,399 Speaker 4: Right, where are they? 916 00:46:56,800 --> 00:46:59,480 Speaker 10: Where is that hold on? So so your partner's a 917 00:46:59,520 --> 00:47:06,920 Speaker 10: third honey chat GPT hold on? Yeah, yeah, you know 918 00:47:07,000 --> 00:47:09,040 Speaker 10: what this reminds me of. I think it also might 919 00:47:09,080 --> 00:47:11,319 Speaker 10: have been Business Insider. There was a story that came 920 00:47:11,320 --> 00:47:14,319 Speaker 10: out a while back, maybe like a like several months back, 921 00:47:14,760 --> 00:47:18,480 Speaker 10: about this dude who he was evangelizing this like AI 922 00:47:18,560 --> 00:47:22,440 Speaker 10: platform that could create office assistance for him, so you 923 00:47:22,480 --> 00:47:26,680 Speaker 10: could make yourself your own CEO and have a whole 924 00:47:26,719 --> 00:47:30,560 Speaker 10: team doing stuff for you. And then he ended up 925 00:47:30,680 --> 00:47:36,800 Speaker 10: sexually harassing one of his AI generated assistants and writing 926 00:47:36,840 --> 00:47:38,200 Speaker 10: a story about. 927 00:47:40,160 --> 00:47:43,799 Speaker 1: He was like, this is one of the services that 928 00:47:43,880 --> 00:47:49,800 Speaker 1: it provides. Yeah, it's you can sexually harass it. Essentially somebody. 929 00:47:51,480 --> 00:47:53,640 Speaker 9: The headline was like, I think I made an HR 930 00:47:53,680 --> 00:47:55,040 Speaker 9: booboo or something like that. 931 00:47:56,400 --> 00:47:58,600 Speaker 3: Yes, he was like, yeah, I made an HR booboo 932 00:47:58,640 --> 00:48:02,000 Speaker 3: when I made this, AI says, dumb thing. Yo, dog, 933 00:48:02,239 --> 00:48:03,960 Speaker 3: I shouldn't know. 934 00:48:04,000 --> 00:48:06,880 Speaker 4: When I was doing the create a player mode, I shouldn't. 935 00:48:07,080 --> 00:48:10,440 Speaker 4: I shouldn't set the yeks to that you'd seen her. 936 00:48:10,760 --> 00:48:12,719 Speaker 9: I mean she was dragging a wagon. 937 00:48:12,840 --> 00:48:14,480 Speaker 4: Man like you wouldn't. 938 00:48:15,600 --> 00:48:16,759 Speaker 1: Like what is this? 939 00:48:17,480 --> 00:48:19,799 Speaker 9: Batman could not have beaten that confession out of. 940 00:48:19,760 --> 00:48:22,839 Speaker 1: Me, right yeah, And he's like, oh, this is an 941 00:48:22,880 --> 00:48:25,440 Speaker 1: interesting wrinkle that I can talk to people about. But 942 00:48:25,760 --> 00:48:29,759 Speaker 1: I mean kind of smart marketing because every CEO who 943 00:48:29,800 --> 00:48:35,200 Speaker 1: they're trying to pitch to has had problems accidentally. 944 00:48:38,640 --> 00:48:46,200 Speaker 3: Jacking off on a zoom calling on the internet. 945 00:48:46,400 --> 00:48:49,600 Speaker 1: So you know what, what what if there was a 946 00:48:49,800 --> 00:48:53,880 Speaker 1: personal assistant that you could sexually harass to your heart's content. 947 00:48:54,480 --> 00:48:57,960 Speaker 4: This is like when like people like sex offenders are like, well. 948 00:48:57,840 --> 00:48:59,920 Speaker 3: This is why, like I need this like child role, 949 00:49:00,600 --> 00:49:02,839 Speaker 3: because like Ben, I don't do stuff in real in 950 00:49:02,880 --> 00:49:04,960 Speaker 3: the real world. You're like, hold on, that's not the 951 00:49:05,040 --> 00:49:08,160 Speaker 3: issue is that you need this robot full. You need 952 00:49:08,200 --> 00:49:11,239 Speaker 3: to fucking do some soul searching. There's another line in 953 00:49:11,239 --> 00:49:14,280 Speaker 3: this that just just shakes me to my core, because again, 954 00:49:14,520 --> 00:49:16,840 Speaker 3: we're all we've all been kids who ask our parents 955 00:49:16,960 --> 00:49:20,560 Speaker 3: questions like why remember one of the first things, Uh, anyway, 956 00:49:20,640 --> 00:49:23,520 Speaker 3: this said in our house? Have you asked AI for assistance? 957 00:49:23,680 --> 00:49:29,280 Speaker 3: Is a common refrain. That's how terrible that's your relationship 958 00:49:29,320 --> 00:49:31,480 Speaker 3: to your children is like did you why are you 959 00:49:31,520 --> 00:49:32,439 Speaker 3: bothering me with this mess? 960 00:49:32,440 --> 00:49:33,400 Speaker 4: Did you ask your cell phone? 961 00:49:33,760 --> 00:49:38,040 Speaker 1: And then they're mimicking that behavior when you know what 962 00:49:38,080 --> 00:49:39,160 Speaker 1: I'm saying, like. 963 00:49:38,840 --> 00:49:42,040 Speaker 4: Like this is just everything downstream of this is so 964 00:49:42,239 --> 00:49:43,240 Speaker 4: fucking terrible. 965 00:49:43,280 --> 00:49:46,759 Speaker 3: But this guy's like, I'm just he's again rationalized this 966 00:49:46,920 --> 00:49:49,279 Speaker 3: as if he's doing them a favor, when in fact 967 00:49:49,320 --> 00:49:53,160 Speaker 3: he's so selfish and just so myopic in his view 968 00:49:53,200 --> 00:49:55,160 Speaker 3: of like what AI is that he's like, oh, this 969 00:49:55,560 --> 00:49:57,840 Speaker 3: and this, I'm just preparing them for a cold world 970 00:49:57,880 --> 00:49:59,520 Speaker 3: where their dads will ignore them and. 971 00:49:59,400 --> 00:50:00,960 Speaker 4: Be like, why are you fucking asking me? 972 00:50:01,040 --> 00:50:04,480 Speaker 9: Shit, it's going to be wild when the AI bubble 973 00:50:04,560 --> 00:50:09,000 Speaker 9: bursts and all the money goes to some other you know, 974 00:50:09,440 --> 00:50:12,480 Speaker 9: Teche fat or Internet fat or whatever, and all these 975 00:50:12,480 --> 00:50:16,680 Speaker 9: people are left with these fucking dysfunctional relationships with these 976 00:50:16,800 --> 00:50:19,240 Speaker 9: kids that don't know how to talk to them anymore 977 00:50:19,640 --> 00:50:23,520 Speaker 9: because they've been telling them to consult their phones their 978 00:50:23,680 --> 00:50:24,360 Speaker 9: entire lives. 979 00:50:24,719 --> 00:50:28,520 Speaker 3: Yeah, it's my gods. 980 00:50:27,600 --> 00:50:29,879 Speaker 1: Like my favorite movie. That have to be the first 981 00:50:29,920 --> 00:50:33,080 Speaker 1: twenty minutes of Multiplicity. I didn't didn't see any of 982 00:50:33,120 --> 00:50:35,759 Speaker 1: the part where there's consequences to him creating a bunch 983 00:50:35,760 --> 00:50:39,799 Speaker 1: of different versions of himself, except. 984 00:50:37,600 --> 00:50:40,840 Speaker 4: That the later ones kind of get wonky. 985 00:50:40,880 --> 00:50:43,359 Speaker 3: We're the one that just says tough over and over. 986 00:50:43,520 --> 00:50:46,680 Speaker 1: Didn't watch that. I just I like the idea, let's 987 00:50:46,920 --> 00:50:52,319 Speaker 1: let's keep it moving. Yeah, it's it totally right at 988 00:50:52,440 --> 00:50:54,920 Speaker 1: like that. I have a seven year old and a 989 00:50:55,000 --> 00:50:58,239 Speaker 1: nine year old and I there. They ask a lot 990 00:50:58,280 --> 00:51:03,520 Speaker 1: of questions and they're questions like make me see things 991 00:51:03,560 --> 00:51:06,200 Speaker 1: like with fresh eyes, and I'm like, that is a 992 00:51:06,320 --> 00:51:10,080 Speaker 1: thing that I had forgotten was really interesting and now 993 00:51:10,560 --> 00:51:14,319 Speaker 1: you're like and I get curious with them and just 994 00:51:14,360 --> 00:51:18,279 Speaker 1: the idea that he's like and once I throw once 995 00:51:18,280 --> 00:51:20,799 Speaker 1: I kick it over to AI, they they tuck her 996 00:51:20,800 --> 00:51:23,640 Speaker 1: out real quick. That might mean that like the AI 997 00:51:23,760 --> 00:51:26,720 Speaker 1: is doing a bad job. He's like, and the AI 998 00:51:26,920 --> 00:51:30,760 Speaker 1: is great because it extinguishes their curiosity real quick. 999 00:51:32,200 --> 00:51:34,640 Speaker 3: And just the way we learn right, Like, Yeah, there's 1000 00:51:34,640 --> 00:51:37,399 Speaker 3: so many college students that they've interviewed who you've used 1001 00:51:37,440 --> 00:51:39,640 Speaker 3: AI to get through college and they're like, well, I 1002 00:51:39,640 --> 00:51:42,960 Speaker 3: don't remember a single fucking thing because all my task 1003 00:51:43,080 --> 00:51:45,600 Speaker 3: was merely just figuring out the prompt to then copy 1004 00:51:45,640 --> 00:51:48,600 Speaker 3: and paste or slightly punch up for an assignment. I 1005 00:51:48,640 --> 00:51:52,360 Speaker 3: didn't retain the information because my relationship to the information 1006 00:51:52,440 --> 00:51:55,440 Speaker 3: is completely different. And like I'm just saying of like, 1007 00:51:55,480 --> 00:51:57,040 Speaker 3: as I as a kid, I had all these like 1008 00:51:57,239 --> 00:52:00,840 Speaker 3: kids almanac books that were just filled with fucking dumb 1009 00:52:00,880 --> 00:52:04,520 Speaker 3: fasts this shit and like weird, like it had everything 1010 00:52:04,560 --> 00:52:06,680 Speaker 3: from like what all the chevrons meant on, like an 1011 00:52:06,800 --> 00:52:10,080 Speaker 3: army person's uniform, where like you know how a tornado 1012 00:52:10,400 --> 00:52:11,040 Speaker 3: comes together. 1013 00:52:11,120 --> 00:52:13,000 Speaker 4: And I would pore over these. 1014 00:52:12,800 --> 00:52:15,200 Speaker 3: Books because I was like this is fucking cool to me, 1015 00:52:15,239 --> 00:52:16,680 Speaker 3: and it was like pick it was like made for 1016 00:52:16,760 --> 00:52:18,920 Speaker 3: kids or whatever. Yeah, but I'm just thinking of like 1017 00:52:19,800 --> 00:52:23,799 Speaker 3: that process for me, I internalized or I remembered so 1018 00:52:23,960 --> 00:52:27,320 Speaker 3: much of it because it felt like I could find something, 1019 00:52:27,360 --> 00:52:29,600 Speaker 3: I could connect the dots within these like set of 1020 00:52:29,680 --> 00:52:32,440 Speaker 3: books that I had. Yea, And when you just reduce 1021 00:52:32,480 --> 00:52:34,439 Speaker 3: it down to just being like, well did you ask 1022 00:52:34,520 --> 00:52:36,360 Speaker 3: the magic question to the thing and what was the 1023 00:52:36,400 --> 00:52:37,080 Speaker 3: answer gave you? 1024 00:52:37,120 --> 00:52:38,960 Speaker 4: Okay, Well, then that's reality. 1025 00:52:39,080 --> 00:52:42,520 Speaker 3: It's like just such a fucking weird way to you know, 1026 00:52:42,560 --> 00:52:45,840 Speaker 3: accumulate these like life experiences that end up making you 1027 00:52:45,880 --> 00:52:46,520 Speaker 3: a podcaster. 1028 00:52:46,760 --> 00:52:50,960 Speaker 9: You know. Well, it's this like optimize everything in your 1029 00:52:51,000 --> 00:52:55,000 Speaker 9: life mindset, right, where everything is all about instrumentality, and 1030 00:52:55,120 --> 00:52:56,960 Speaker 9: like how can I get to the next stage, Get 1031 00:52:57,000 --> 00:52:59,080 Speaker 9: to the next stage, get to the next stage where 1032 00:52:59,120 --> 00:53:04,040 Speaker 9: I will be definitely rich. Right, But like sometimes you know, 1033 00:53:04,160 --> 00:53:07,200 Speaker 9: the way through life is to learn that the mitochondria 1034 00:53:07,280 --> 00:53:08,880 Speaker 9: is the powerhouse of the cell. 1035 00:53:09,480 --> 00:53:14,040 Speaker 1: Right, right, and like enjoy that and sit in the 1036 00:53:14,200 --> 00:53:17,800 Speaker 1: curiosity around that and not just always kick things forward 1037 00:53:17,880 --> 00:53:22,359 Speaker 1: to you know, some pyramid scheme of like knowledge and 1038 00:53:22,760 --> 00:53:25,640 Speaker 1: earning capacity where like we're and then I'm going to 1039 00:53:25,719 --> 00:53:28,880 Speaker 1: turn that into an ability to optimize for this so 1040 00:53:28,920 --> 00:53:30,640 Speaker 1: that I can get richer and so my kids can 1041 00:53:30,640 --> 00:53:34,480 Speaker 1: get richer. And now I've got a powerhouse of capitalism 1042 00:53:34,520 --> 00:53:37,040 Speaker 1: working at home instead of being like, I don't know, man, 1043 00:53:37,239 --> 00:53:39,640 Speaker 1: maybe like enjoy spending time with your kids and like 1044 00:53:39,760 --> 00:53:41,160 Speaker 1: learn stuff from them. 1045 00:53:41,719 --> 00:53:44,800 Speaker 4: Right, it's wild to automate parenthood. 1046 00:53:44,440 --> 00:53:46,640 Speaker 1: Yeah, just completely cut out of that. 1047 00:53:47,000 --> 00:53:49,799 Speaker 3: Yeah, But I think that's just an escalation for I think, 1048 00:53:49,880 --> 00:53:53,880 Speaker 3: and it's also a reflection on how like exhausted people 1049 00:53:53,960 --> 00:53:57,000 Speaker 3: are working parents can be. And I can totally see 1050 00:53:57,080 --> 00:54:01,160 Speaker 3: how intoxicating that the idea of I don't know, I 1051 00:54:00,520 --> 00:54:03,440 Speaker 3: fucking do it because I remember when like people had 1052 00:54:03,480 --> 00:54:05,400 Speaker 3: Alexas in their home. Everyone's like, dude, it's great, we 1053 00:54:05,440 --> 00:54:07,839 Speaker 3: asked the Alexa stuff. But it was even then it 1054 00:54:07,880 --> 00:54:09,799 Speaker 3: was a thing that a parent would do with a kid. 1055 00:54:10,560 --> 00:54:13,080 Speaker 3: They're like, I don't know, ask the fucking cone in 1056 00:54:13,120 --> 00:54:17,400 Speaker 3: the kitchen, right, Like that's just a fucking weird interaction 1057 00:54:17,560 --> 00:54:19,920 Speaker 3: to have. And I think, yeah, Like I think you 1058 00:54:19,960 --> 00:54:22,760 Speaker 3: bring this up Jack all the time about how evolutionarily speaking, 1059 00:54:22,800 --> 00:54:25,440 Speaker 3: like we've just in the last thirty years, we've just 1060 00:54:25,560 --> 00:54:29,640 Speaker 3: entered this space that's like accelerated at such a pace 1061 00:54:29,760 --> 00:54:33,520 Speaker 3: that the previous new millennia that have preceded it, like 1062 00:54:33,560 --> 00:54:36,399 Speaker 3: it just dwarfs in comparison. And we're suddenly like our 1063 00:54:36,920 --> 00:54:40,239 Speaker 3: hunter gatherer brain is like, I'm the fucking asked the 1064 00:54:40,360 --> 00:54:42,800 Speaker 3: cone if what's gravity? 1065 00:54:42,920 --> 00:54:45,440 Speaker 4: Like it's just yeah, it's so, And like. 1066 00:54:45,400 --> 00:54:47,680 Speaker 1: This adds a layer on top where it's like I'm 1067 00:54:48,320 --> 00:54:50,680 Speaker 1: my dad is like subtly mad at me if I 1068 00:54:50,760 --> 00:54:55,600 Speaker 1: don't ask the cone, right, It's like, fuck, man, Oh like, 1069 00:54:55,640 --> 00:54:59,160 Speaker 1: so that sends me in a direction where like my 1070 00:54:59,360 --> 00:55:04,799 Speaker 1: instinct is to just like avoid emotionally connecting with the 1071 00:55:04,840 --> 00:55:08,600 Speaker 1: person and instead of just optimize my ability to use 1072 00:55:08,680 --> 00:55:10,600 Speaker 1: AI to find the information. 1073 00:55:11,560 --> 00:55:13,680 Speaker 9: It's like, oh, man, the way to get dad to 1074 00:55:13,880 --> 00:55:16,920 Speaker 9: like me is to ask the phone things. 1075 00:55:17,360 --> 00:55:21,600 Speaker 4: Yeah, right, which is wild, This would be fucked up. 1076 00:55:21,719 --> 00:55:25,799 Speaker 1: We're talking about this in an in an ideal world 1077 00:55:25,840 --> 00:55:29,279 Speaker 1: where AI like actually works, and like, right, toci as 1078 00:55:29,320 --> 00:55:32,120 Speaker 1: you brought up the first place, like we just have 1079 00:55:32,840 --> 00:55:35,440 Speaker 1: We just had like the person who is like the 1080 00:55:36,320 --> 00:55:39,640 Speaker 1: icon of like tech smart guy and Elon Musk release 1081 00:55:39,719 --> 00:55:43,200 Speaker 1: an AI chatbot on his company that he spent forty 1082 00:55:43,200 --> 00:55:47,800 Speaker 1: four billion dollars on that immediately just went to Mecca 1083 00:55:47,920 --> 00:55:52,479 Speaker 1: Hitler on the world like that. That is where we're 1084 00:55:52,560 --> 00:55:55,239 Speaker 1: at with this, And this guy is like, yeah, so 1085 00:55:55,360 --> 00:55:57,640 Speaker 1: I mean it's a perfect solution. 1086 00:55:58,160 --> 00:55:59,719 Speaker 9: Yeah, I'd like that around my kids. 1087 00:56:00,080 --> 00:56:06,719 Speaker 1: What jeez? All right, that's gonna do it for this 1088 00:56:06,840 --> 00:56:11,520 Speaker 1: week's weekly Zeitgeist. Please like and review the show If 1089 00:56:11,680 --> 00:56:15,920 Speaker 1: you like, the show means the world demiles he he 1090 00:56:16,040 --> 00:56:20,480 Speaker 1: needs your validation, folks. I hope you're having a great weekend, 1091 00:56:20,719 --> 00:57:11,960 Speaker 1: and I will talk to him Monday Bye