1 00:00:00,200 --> 00:00:03,920 Speaker 1: Hello the Internet, and welcome to this episode of Semi 2 00:00:04,000 --> 00:00:09,920 Speaker 1: Gay's trend of Life, Baby Baby semi geist trend of life. 3 00:00:09,920 --> 00:00:14,240 Speaker 1: I say see like I'm it's like, I don't know 4 00:00:14,280 --> 00:00:18,280 Speaker 1: the name of the show geist kind of trend of life. 5 00:00:18,320 --> 00:00:23,159 Speaker 1: Fuck fuck just to call it, call it well, do 6 00:00:23,239 --> 00:00:24,000 Speaker 1: it live. 7 00:00:25,680 --> 00:00:28,920 Speaker 2: Scotty Scotty, what the fuck? All right? 8 00:00:29,880 --> 00:00:33,599 Speaker 1: Bringing big Scotty energy today, Big Scotty energy. 9 00:00:33,800 --> 00:00:34,320 Speaker 2: How are you doing? 10 00:00:34,360 --> 00:00:34,600 Speaker 1: Mouth? 11 00:00:34,720 --> 00:00:37,280 Speaker 2: Oh, what's a trend in? So much? So much? 12 00:00:37,640 --> 00:00:40,800 Speaker 1: What's trend? And let's see? Uh. The Washington Post has 13 00:00:40,840 --> 00:00:44,440 Speaker 1: an exciting development for people who like journalism. 14 00:00:44,240 --> 00:00:47,440 Speaker 2: Yep, who like op eds from people who shouldn't be 15 00:00:47,479 --> 00:00:49,960 Speaker 2: writing fucking op eds because they don't know how to 16 00:00:50,080 --> 00:00:53,760 Speaker 2: write or formulate ideas with the written word. But that 17 00:00:53,840 --> 00:00:57,320 Speaker 2: doesn't matter, says Jeff Bezos. They're overlord because they're their 18 00:00:57,320 --> 00:00:59,160 Speaker 2: whole thing is, we're trying to get a more diverse 19 00:00:59,200 --> 00:01:04,000 Speaker 2: amount of countrybuters read probably like illiterate racist bastards to 20 00:01:04,120 --> 00:01:07,720 Speaker 2: like put things in to normalize their takes. But Jeff 21 00:01:07,760 --> 00:01:10,679 Speaker 2: Bezos has said they're going to use AI to fucking 22 00:01:10,800 --> 00:01:16,040 Speaker 2: help these non writer ass opinion writers. Whole professional writing 23 00:01:17,000 --> 00:01:18,559 Speaker 2: is the new member. 24 00:01:18,840 --> 00:01:21,840 Speaker 1: Yeah, This has been the dream of capitalists since I 25 00:01:21,959 --> 00:01:24,760 Speaker 1: was working as an editor. They're just like, all right, 26 00:01:24,800 --> 00:01:27,160 Speaker 1: so you guys have been like making these articles that 27 00:01:27,240 --> 00:01:29,640 Speaker 1: are like doing really well and like have a lot 28 00:01:29,680 --> 00:01:32,600 Speaker 1: of thought put into them. How do we ten x that? 29 00:01:32,920 --> 00:01:35,880 Speaker 1: How do we make it so that instead of four articles, 30 00:01:35,920 --> 00:01:37,160 Speaker 1: you're making forty a day? 31 00:01:37,240 --> 00:01:40,080 Speaker 2: Well, then we finally ten more writers of this calendar. 32 00:01:40,040 --> 00:01:42,520 Speaker 1: So how do we do that with the same number 33 00:01:42,520 --> 00:01:45,800 Speaker 1: of resources? That's the that's the puzzle that I want 34 00:01:45,840 --> 00:01:48,880 Speaker 1: you to solve. And they've finally done it. 35 00:01:48,920 --> 00:01:51,080 Speaker 2: What about glasses over there? Can you do like ten 36 00:01:51,120 --> 00:01:53,040 Speaker 2: more articles? His name's Daniel? 37 00:01:53,800 --> 00:01:55,080 Speaker 1: What about you numbers? 38 00:01:55,480 --> 00:02:00,680 Speaker 2: What? My name's Soren? So anyway, this is this thing. 39 00:02:00,680 --> 00:02:04,600 Speaker 2: This program ember quote could automate several functions normally provided 40 00:02:04,600 --> 00:02:08,400 Speaker 2: by human editors, including offering a quote story strength tracker 41 00:02:08,480 --> 00:02:11,160 Speaker 2: that indicates how a piece is progressing. The will also 42 00:02:11,200 --> 00:02:15,079 Speaker 2: reportedly as a sidebar showing the fundamental parts of a story, 43 00:02:15,320 --> 00:02:20,440 Speaker 2: such as an early thesis, supporting points and a memorable ending. 44 00:02:20,639 --> 00:02:22,760 Speaker 2: Am I in fucking eighth grade again? 45 00:02:22,840 --> 00:02:30,200 Speaker 1: Yep? Yeah, yeah, three three paragraphs of supporting the Yeah, it's. 46 00:02:30,000 --> 00:02:32,360 Speaker 2: This is fucking absurd, Like what are they what are 47 00:02:32,360 --> 00:02:33,360 Speaker 2: they talking about over there? 48 00:02:33,440 --> 00:02:38,160 Speaker 1: They couldn't find enough people with the opinions that both 49 00:02:38,200 --> 00:02:41,760 Speaker 1: have the opinions that they want supported and also know how. 50 00:02:41,639 --> 00:02:42,680 Speaker 2: To write professionally. 51 00:02:43,160 --> 00:02:46,080 Speaker 1: Yeah. Yeah, they like they ran out of all of 52 00:02:46,200 --> 00:02:50,480 Speaker 1: the National Review like editors and former editors that are like, 53 00:02:50,560 --> 00:02:54,560 Speaker 1: we need more because they this is coming after they 54 00:02:54,600 --> 00:02:58,160 Speaker 1: talked about changing their op ed mix so that it 55 00:02:58,520 --> 00:03:02,640 Speaker 1: also it includes more people who are just like pro market. 56 00:03:02,960 --> 00:03:05,080 Speaker 2: Yeah, and I'm sorry if a person doesn't know how 57 00:03:05,080 --> 00:03:07,200 Speaker 2: to write, how they know if an AI's like editing 58 00:03:07,240 --> 00:03:10,440 Speaker 2: suggestions isn't completely changing like the connotation of something they're 59 00:03:10,440 --> 00:03:11,519 Speaker 2: trying to say, you know what I mean like that 60 00:03:11,880 --> 00:03:14,040 Speaker 2: they're already they're like, I don't know, Yeah, maybe that is. 61 00:03:13,960 --> 00:03:17,120 Speaker 1: A better YE said to say this, Yeah, different point. 62 00:03:17,480 --> 00:03:20,359 Speaker 1: Imperialism can be okay as long as it's wrapped in red, 63 00:03:20,360 --> 00:03:22,480 Speaker 1: white and blue. I can't wait to see like the 64 00:03:22,840 --> 00:03:24,440 Speaker 1: I'm sure a lot of people are gonna be fucking 65 00:03:24,440 --> 00:03:26,400 Speaker 1: with this, and I'm looking forward to seeing like what 66 00:03:26,440 --> 00:03:29,240 Speaker 1: they come away with, Like is it proprietary, Like is 67 00:03:29,240 --> 00:03:31,320 Speaker 1: it a thing where like anybody can just like go 68 00:03:31,520 --> 00:03:34,360 Speaker 1: and try to write a Washington Post op ed. 69 00:03:35,000 --> 00:03:37,160 Speaker 2: No, I think they're like there. These are people that 70 00:03:37,240 --> 00:03:39,120 Speaker 2: the Washington Post are like, I think. 71 00:03:39,360 --> 00:03:44,080 Speaker 1: On reaching out to being like hey, hey, you're illiterate 72 00:03:44,160 --> 00:03:46,640 Speaker 1: and also seem like you have an idea that we 73 00:03:46,680 --> 00:03:48,040 Speaker 1: want shared with the world. 74 00:03:48,360 --> 00:03:52,960 Speaker 2: Your four Chan posts are fucking fire, My dude, would 75 00:03:53,000 --> 00:03:55,000 Speaker 2: you like to write an op ed in the Washington Post? 76 00:03:55,320 --> 00:03:59,760 Speaker 1: They are, however, mostly incomprehensible. 77 00:03:59,000 --> 00:04:02,040 Speaker 2: Mostly images. They're mostly soy jack images. 78 00:04:05,160 --> 00:04:09,520 Speaker 1: Uh yeah, so that is where things are headed. That's 79 00:04:09,560 --> 00:04:11,120 Speaker 1: how the Washington Post is doing. 80 00:04:11,440 --> 00:04:12,440 Speaker 2: Yep, not good. 81 00:04:13,120 --> 00:04:16,680 Speaker 1: I saw wapo AI and I thought it said weird 82 00:04:16,720 --> 00:04:20,360 Speaker 1: al that's how much weird al is A I does 83 00:04:20,400 --> 00:04:21,000 Speaker 1: look like al? 84 00:04:21,880 --> 00:04:24,640 Speaker 2: Yeah? It does. Hey, also take a one also looks 85 00:04:24,640 --> 00:04:26,520 Speaker 2: like A one too. I'm not going to throw Linda 86 00:04:26,560 --> 00:04:29,719 Speaker 2: McMahon under the bus for not knowing fucking anything. She 87 00:04:30,000 --> 00:04:31,600 Speaker 2: doesn't know what the Tulsa race mask cro is. 88 00:04:31,880 --> 00:04:32,360 Speaker 1: No. 89 00:04:32,680 --> 00:04:34,440 Speaker 2: She was in a hearing and they're like, oh, do 90 00:04:34,480 --> 00:04:36,760 Speaker 2: you think like she was saying things would be illegal 91 00:04:36,839 --> 00:04:39,920 Speaker 2: DEI like certain curriculum, and she was being asked like, oh, 92 00:04:39,960 --> 00:04:42,040 Speaker 2: what about the Tulsa race Maskers's like, I'm I'll have 93 00:04:42,040 --> 00:04:44,560 Speaker 2: to look into that more to know what that is yeah, 94 00:04:45,200 --> 00:04:46,159 Speaker 2: of course, I mean these. 95 00:04:46,080 --> 00:04:48,800 Speaker 1: History has a DEI bent and we can't allow it. 96 00:04:49,080 --> 00:04:50,560 Speaker 2: Yep, did that even happen? 97 00:04:51,120 --> 00:04:55,400 Speaker 1: That's why it is like I know that she is 98 00:04:55,800 --> 00:05:01,000 Speaker 1: bad heading up the education of this country, but like 99 00:05:01,200 --> 00:05:04,359 Speaker 1: just Linda, as you mentioned it, my brain is still like, 100 00:05:04,360 --> 00:05:07,599 Speaker 1: why are we talking about a wrestling person? Yeah yeah, right, yeah, 101 00:05:07,640 --> 00:05:12,480 Speaker 1: yeah yeah yeah, all right, Uh well for old time sake, 102 00:05:12,800 --> 00:05:14,839 Speaker 1: America just arrested some Nazis. 103 00:05:15,120 --> 00:05:19,240 Speaker 2: How I'm like, still, I don't know why I'm so 104 00:05:19,520 --> 00:05:24,159 Speaker 2: baffled by the idea that law enforcement arrests Nazis. But 105 00:05:24,600 --> 00:05:28,640 Speaker 2: this is from a raid in Thurston County, Washington. Law 106 00:05:28,720 --> 00:05:31,599 Speaker 2: enforcement discovered a cache of weaponry and armor, including a 107 00:05:31,600 --> 00:05:35,400 Speaker 2: machine gun and grenade launchers, along with Nazi paraphernalia during 108 00:05:35,440 --> 00:05:39,039 Speaker 2: a raid of a home in Thurston County. They said 109 00:05:39,279 --> 00:05:42,200 Speaker 2: there was something about there's an FBI Special Weapons in 110 00:05:42,240 --> 00:05:47,040 Speaker 2: like attactics investigation and a US Army criminal investigation because 111 00:05:47,080 --> 00:05:50,080 Speaker 2: they thought that there's potentially like an attack that was 112 00:05:50,120 --> 00:05:52,960 Speaker 2: gonna happen. Maybe that's what it's like, boys, boys, boys, 113 00:05:53,560 --> 00:05:55,719 Speaker 2: We're on the same team here. Yeah, you go around 114 00:05:55,720 --> 00:05:57,240 Speaker 2: trying to shoot at us, We're gonna have to fuck 115 00:05:57,279 --> 00:05:57,760 Speaker 2: you up man. 116 00:05:58,080 --> 00:06:00,679 Speaker 1: Oh yeah, it's definitely just the weapons is the problem. 117 00:06:00,920 --> 00:06:04,040 Speaker 1: It's not the giant Nazi flags that are on the wall. 118 00:06:05,360 --> 00:06:07,560 Speaker 2: Full of Yeah. Yeah that's weird. Oh they also have 119 00:06:07,640 --> 00:06:13,000 Speaker 2: like ice uniforms in there. It looks like maybe who knows, Yeah, 120 00:06:13,040 --> 00:06:14,880 Speaker 2: who knows. But that is just so I don't know why. 121 00:06:14,920 --> 00:06:17,440 Speaker 2: This story just really was jarring to be like, wait, 122 00:06:17,520 --> 00:06:21,760 Speaker 2: Nazi back oh gun gun bat illegal guns, yeah yeah, 123 00:06:21,839 --> 00:06:24,040 Speaker 2: illegalsh of weapons. 124 00:06:24,200 --> 00:06:30,120 Speaker 1: Yeah yeah, yeah. Yeah. It's uh, it's interesting. It's interesting 125 00:06:30,160 --> 00:06:33,480 Speaker 1: when this stands out because I mean we talked about, 126 00:06:34,080 --> 00:06:37,599 Speaker 1: uh since the beginning of this podcast, like the double 127 00:06:37,600 --> 00:06:42,039 Speaker 1: standard when it comes to right wing terrorism and like 128 00:06:42,120 --> 00:06:46,600 Speaker 1: homegrown terrorism versus every other kind of terrorism. Yeah, they 129 00:06:47,000 --> 00:06:50,080 Speaker 1: there is some wild ship that people are getting away 130 00:06:50,080 --> 00:06:51,920 Speaker 1: with in the in the name of whid supremacy. 131 00:06:52,360 --> 00:06:54,919 Speaker 2: Are these like new Nazis because like their little like 132 00:06:55,240 --> 00:06:58,839 Speaker 2: storage closet, the they're Nazi and their swastika flag and 133 00:06:58,920 --> 00:07:00,560 Speaker 2: s S flag have all there is in it. 134 00:07:00,560 --> 00:07:05,280 Speaker 1: Like yeah, Amazon, we just went up so new that 135 00:07:05,720 --> 00:07:09,560 Speaker 1: it's anop. There aren't real Nazis there they it's an op. 136 00:07:09,760 --> 00:07:12,040 Speaker 2: Oh you know, that's an Alex Jones ship. 137 00:07:13,440 --> 00:07:15,360 Speaker 1: Right there creases in the dang posts. 138 00:07:15,400 --> 00:07:18,400 Speaker 2: Real Nazis, I mean real Nazis respect their flag. 139 00:07:18,920 --> 00:07:21,480 Speaker 1: That's right, all right. Here's here's a bit of a 140 00:07:21,520 --> 00:07:24,400 Speaker 1: good news for those of us who like dodos and 141 00:07:24,480 --> 00:07:28,680 Speaker 1: mountain dew. Uh. They might be getting a warning label 142 00:07:29,160 --> 00:07:32,600 Speaker 1: in California or Texas. 143 00:07:32,120 --> 00:07:34,360 Speaker 2: Texas, in Texas of all places. 144 00:07:34,520 --> 00:07:37,080 Speaker 1: So Douredo's a mountain dew might be getting a warning 145 00:07:37,120 --> 00:07:38,400 Speaker 1: label in Texas. 146 00:07:38,560 --> 00:07:39,080 Speaker 2: Uh. 147 00:07:39,400 --> 00:07:44,400 Speaker 1: That contains some information that I think is immaterial, but 148 00:07:45,320 --> 00:07:48,400 Speaker 1: people seem to think is relevant. Okay, what is the 149 00:07:48,440 --> 00:07:52,400 Speaker 1: information that will be labeled on our beloved. It's going 150 00:07:52,480 --> 00:07:59,160 Speaker 1: to contain warnings about ingredients quote not recommended for human consumption, Okay, 151 00:07:59,360 --> 00:08:00,720 Speaker 1: fucking whatever. 152 00:08:01,280 --> 00:08:02,360 Speaker 2: Whatever tastes good. 153 00:08:02,800 --> 00:08:06,120 Speaker 1: Yeah, I recommend it. My taste buds recommend it for 154 00:08:06,240 --> 00:08:09,960 Speaker 1: human consumption. Doug, that's also, man, I don't. That's such 155 00:08:10,000 --> 00:08:12,160 Speaker 1: a bummer though, to like just the idea when it's 156 00:08:12,200 --> 00:08:14,040 Speaker 1: on the thing you're about to you, it's like, man, 157 00:08:14,080 --> 00:08:14,960 Speaker 1: they're shitting here. 158 00:08:15,520 --> 00:08:19,200 Speaker 2: We do not recommend it. Yeah, I'm like, really, what 159 00:08:19,280 --> 00:08:22,840 Speaker 2: about for animals? It's not even animals, man, you could 160 00:08:22,840 --> 00:08:26,560 Speaker 2: decrease an engine. Maybe that's about it. 161 00:08:26,800 --> 00:08:31,320 Speaker 1: Yeah, I mean, it is revelatory in a way that's 162 00:08:31,360 --> 00:08:35,040 Speaker 1: not fun to look at which of my favorite snack 163 00:08:35,080 --> 00:08:38,079 Speaker 1: foods are illegal in other countries. 164 00:08:38,200 --> 00:08:42,480 Speaker 2: This feels like a little too like anti corporation by 165 00:08:42,520 --> 00:08:46,080 Speaker 2: telling the consumer, it's like they're feeding you crap, which 166 00:08:46,080 --> 00:08:48,960 Speaker 2: I'm that's why I'm surprised. Wow what I did not 167 00:08:49,080 --> 00:08:51,040 Speaker 2: know what the who is behind this bill in the 168 00:08:51,080 --> 00:08:54,800 Speaker 2: Texas Sentate for this one? But hey, I do like 169 00:08:54,840 --> 00:08:57,400 Speaker 2: that this list is so long of shit I've never seen. 170 00:08:58,600 --> 00:09:01,440 Speaker 2: Morpholine is that it. 171 00:09:01,320 --> 00:09:03,600 Speaker 1: Turns, it allows you to morphic the beginning of that 172 00:09:03,600 --> 00:09:05,160 Speaker 1: Michael Jackson black and white video. 173 00:09:06,920 --> 00:09:12,520 Speaker 2: No you morph into a trampoline, oh or valveeline, I 174 00:09:12,559 --> 00:09:13,680 Speaker 2: don't know, whatever you want. 175 00:09:13,840 --> 00:09:17,240 Speaker 1: I do like that they've I'm sure lobbyists had something 176 00:09:17,240 --> 00:09:20,360 Speaker 1: to do with us that. It's it's not strongly worded. 177 00:09:20,559 --> 00:09:24,760 Speaker 1: They're just like, based on we wouldn't recommend it for 178 00:09:24,920 --> 00:09:29,760 Speaker 1: human conception. It's not based on I recommendation. Maybe not. 179 00:09:30,400 --> 00:09:33,360 Speaker 2: I guess. Yeah. It's like the cigarette thing. It's like, yeah, sure, asshole, 180 00:09:33,440 --> 00:09:35,440 Speaker 2: look I need my naked teine. I know it says 181 00:09:35,480 --> 00:09:38,280 Speaker 2: you'll fucking kill me. I know, but I think most 182 00:09:38,280 --> 00:09:41,040 Speaker 2: people probably don't know that a steady diet of Dorito's 183 00:09:41,080 --> 00:09:41,680 Speaker 2: isn't good either. 184 00:09:42,440 --> 00:09:44,760 Speaker 1: All right, let's take a quick break and we'll be 185 00:09:44,840 --> 00:09:59,840 Speaker 1: right back, and we're bag. The Democrats have figured it out. 186 00:10:00,200 --> 00:10:04,480 Speaker 1: They're studying young men, and I think they've figured some 187 00:10:04,640 --> 00:10:10,600 Speaker 1: important things out about how to communicate with this alien creature. 188 00:10:10,880 --> 00:10:13,000 Speaker 1: Uh huh. They're just like, I don't know, they think 189 00:10:13,040 --> 00:10:18,480 Speaker 1: that we're inauthentic and that don't care about them, based 190 00:10:18,520 --> 00:10:21,319 Speaker 1: on the fact that the young men actually seem to 191 00:10:21,320 --> 00:10:23,240 Speaker 1: believe that neither party has our back. 192 00:10:23,640 --> 00:10:28,560 Speaker 2: Yep, yep, yep. This is a fucking this Democratic group 193 00:10:28,760 --> 00:10:32,880 Speaker 2: two year, twenty million dollar project to study young men 194 00:10:33,400 --> 00:10:35,200 Speaker 2: and how Democrats can reach them. 195 00:10:35,520 --> 00:10:39,400 Speaker 1: The way that this like is being the information is 196 00:10:39,440 --> 00:10:42,440 Speaker 1: being greeted by the Democratic Party because like, of course, 197 00:10:42,480 --> 00:10:47,520 Speaker 1: there's nothing wrong with the values of the party or 198 00:10:47,520 --> 00:10:51,400 Speaker 1: what they actually do as leaders. It has to be 199 00:10:51,720 --> 00:10:54,280 Speaker 1: a matter of messaging. That's the only way they're able 200 00:10:54,280 --> 00:10:58,000 Speaker 1: to conceive of any problem is like, well, we're just 201 00:10:58,040 --> 00:11:02,440 Speaker 1: not messaging it, right. Democrats are seen as weak, whereas 202 00:11:02,520 --> 00:11:05,680 Speaker 1: Republicans are seen as strong. Young men also spoke of 203 00:11:05,760 --> 00:11:08,840 Speaker 1: being invisible to the Democratic coalition, And so you've got 204 00:11:08,920 --> 00:11:11,480 Speaker 1: this weak problem, and then you've got this I don't 205 00:11:11,480 --> 00:11:13,960 Speaker 1: think they care about me problem, And I think the 206 00:11:14,040 --> 00:11:17,080 Speaker 1: combination is kind of a killer because what are we 207 00:11:17,120 --> 00:11:20,320 Speaker 1: going to offer to give them hugs? But then they're 208 00:11:20,360 --> 00:11:23,680 Speaker 1: gonna be like, that's not strong, and it's just like no. 209 00:11:24,000 --> 00:11:28,560 Speaker 1: I think what they mean is that you guys don't 210 00:11:28,600 --> 00:11:33,600 Speaker 1: do things for constituents. You don't do things on behalf 211 00:11:33,640 --> 00:11:36,520 Speaker 1: of the people. You just back down the second there's 212 00:11:36,679 --> 00:11:41,040 Speaker 1: any pushback from like corporations and the forces that actually 213 00:11:41,080 --> 00:11:44,079 Speaker 1: run the country. So that's the weakness, and that don't 214 00:11:44,120 --> 00:11:47,320 Speaker 1: care about us is when you also don't do things 215 00:11:47,400 --> 00:11:52,079 Speaker 1: for us and instead govern you like lie and say 216 00:11:52,080 --> 00:11:54,280 Speaker 1: you're gonna govern for us, and then you actually do 217 00:11:54,320 --> 00:11:55,600 Speaker 1: stuff for the corporation. 218 00:11:55,600 --> 00:12:00,360 Speaker 2: Sure. So yeah, what I'm hearing here is that we 219 00:12:00,440 --> 00:12:03,600 Speaker 2: should have Chuck Schumer go live on TikTok and do 220 00:12:03,640 --> 00:12:04,679 Speaker 2: a bunch of bench presses. 221 00:12:04,880 --> 00:12:07,360 Speaker 1: That's right, thank you, he nailed it, because I don't know. 222 00:12:07,360 --> 00:12:09,080 Speaker 2: The other stuff just sound like you were attacking me. 223 00:12:09,480 --> 00:12:12,560 Speaker 2: And I didn't want to hear that. As a democratic leader, 224 00:12:12,559 --> 00:12:14,520 Speaker 2: I don't want to hear about how I'm offering people 225 00:12:14,640 --> 00:12:18,559 Speaker 2: nothing all the time and just empty words. Yeah, it's 226 00:12:18,600 --> 00:12:20,440 Speaker 2: like the first one is very telling where they're like, 227 00:12:20,640 --> 00:12:22,640 Speaker 2: it feels like neither party has our black set a 228 00:12:22,679 --> 00:12:26,160 Speaker 2: young black man, and it's like, that's pretty layer two Democrats. 229 00:12:26,200 --> 00:12:27,920 Speaker 2: That's this isn't just like a we need a Joe 230 00:12:28,040 --> 00:12:32,000 Speaker 2: Rogan thing. It's like you are failing so many demographics 231 00:12:32,000 --> 00:12:37,079 Speaker 2: of people. Yeah, it's just like, again, let's piss away 232 00:12:37,240 --> 00:12:41,120 Speaker 2: twenty million dollars to arrive at a thing that just 233 00:12:41,160 --> 00:12:43,360 Speaker 2: for them to not have to believe it's like, has 234 00:12:43,440 --> 00:12:46,240 Speaker 2: to do with their terrible policy decision. 235 00:12:45,960 --> 00:12:49,760 Speaker 1: To say, yeah, twenty million dollars to psychoanalyze some questions 236 00:12:49,800 --> 00:12:53,079 Speaker 1: to a pull that just has a very simple answer 237 00:12:53,160 --> 00:12:55,840 Speaker 1: that we just don't want to hear. So we're because they. 238 00:12:55,760 --> 00:12:58,000 Speaker 2: Treat it that they're like, dude, they need fucking more 239 00:12:58,240 --> 00:13:02,760 Speaker 2: tough guys, some badass asters in the Democratic Party. Y'all 240 00:13:02,800 --> 00:13:06,120 Speaker 2: are talking about fucking branding right now. Yes, Oh, you're 241 00:13:06,160 --> 00:13:12,679 Speaker 2: a political party, you need to talk about fucking Okay, Well, 242 00:13:12,720 --> 00:13:14,040 Speaker 2: we get the fuck out of the way for people 243 00:13:14,040 --> 00:13:16,760 Speaker 2: who want to do policy, because that's what they're like, Oh, 244 00:13:16,760 --> 00:13:18,800 Speaker 2: I don't know what they're gonna do if they if 245 00:13:18,800 --> 00:13:20,640 Speaker 2: this is their problem. Yeah, they're what they're gonna do 246 00:13:20,720 --> 00:13:23,080 Speaker 2: is they actually need to offer policies where that it's 247 00:13:23,120 --> 00:13:25,400 Speaker 2: not about because a lot of things they're talking about 248 00:13:25,400 --> 00:13:27,520 Speaker 2: is like people aren't hitting milestones like being able to 249 00:13:27,559 --> 00:13:30,800 Speaker 2: buy a house or save money for college. That's we're 250 00:13:30,800 --> 00:13:32,920 Speaker 2: talking about inequality here. 251 00:13:33,520 --> 00:13:37,920 Speaker 1: Mmmmmm that so what you're saying to me that sounds weak. 252 00:13:38,120 --> 00:13:40,599 Speaker 2: Bro, dude. You know what word doesn't show up in 253 00:13:40,679 --> 00:13:42,720 Speaker 2: this fucking article is inequality. 254 00:13:43,080 --> 00:13:44,280 Speaker 1: Nah. 255 00:13:44,280 --> 00:13:48,360 Speaker 2: That's why Politico is also fucking just absolutely done too. 256 00:13:48,600 --> 00:13:50,600 Speaker 2: It's like every now and then they have good reporting 257 00:13:50,600 --> 00:13:52,640 Speaker 2: and then like there's this stuff like their analysis of 258 00:13:52,679 --> 00:13:54,560 Speaker 2: this is so just in line with what the DNC 259 00:13:55,160 --> 00:13:57,520 Speaker 2: just like to be like, yeah, like this this looks 260 00:13:57,559 --> 00:13:59,480 Speaker 2: like a this looks like a hard a hard place 261 00:13:59,480 --> 00:14:02,520 Speaker 2: for the Denver credits to be it and not getting 262 00:14:02,520 --> 00:14:05,880 Speaker 2: to what is actually happening to people in this country. 263 00:14:05,920 --> 00:14:08,480 Speaker 1: But sure, well, speaking of what is actually happening to 264 00:14:08,520 --> 00:14:11,280 Speaker 1: the people in this country, the government is getting to 265 00:14:11,320 --> 00:14:14,440 Speaker 1: know us. Let's put it that way that our brand, 266 00:14:14,600 --> 00:14:18,200 Speaker 1: our twenty eight million dollar branding solution has told us 267 00:14:18,320 --> 00:14:22,840 Speaker 1: to describe you getting to know all about you, and 268 00:14:22,880 --> 00:14:25,600 Speaker 1: we mean all, but we don't hold back just like 269 00:14:25,680 --> 00:14:27,760 Speaker 1: what my favorite team is or something. So you might 270 00:14:27,760 --> 00:14:33,280 Speaker 1: have seen the company Pallenteer Pllenteer trending lately. This is 271 00:14:33,320 --> 00:14:39,160 Speaker 1: the Peter Thiel founded company that uses AI to dig 272 00:14:39,200 --> 00:14:43,800 Speaker 1: through massive trovees of data to find significant patterns and information. 273 00:14:44,200 --> 00:14:48,680 Speaker 1: And they are just getting hired, Like Trump is just 274 00:14:48,760 --> 00:14:54,480 Speaker 1: putting them on everything like tax records, medical records, everything 275 00:14:54,520 --> 00:14:59,400 Speaker 1: in authoritarian government could possibly want to compile on their population. 276 00:14:59,760 --> 00:15:03,480 Speaker 1: They are just pulling it all in getting it so 277 00:15:03,600 --> 00:15:08,160 Speaker 1: everything is linked up and basically the like marketing companies 278 00:15:08,280 --> 00:15:10,880 Speaker 1: want to like have really great profile. They want to 279 00:15:10,880 --> 00:15:16,320 Speaker 1: like connect your online browsing with your like where you're 280 00:15:16,440 --> 00:15:19,280 Speaker 1: driving information, so you have like one to one like 281 00:15:19,600 --> 00:15:23,120 Speaker 1: one a model of a person that corresponds to an 282 00:15:23,120 --> 00:15:26,160 Speaker 1: actual person who's out there, and that appears to be 283 00:15:26,280 --> 00:15:29,400 Speaker 1: like what the government is also doing. Yep, this is 284 00:15:29,400 --> 00:15:33,120 Speaker 1: a quote from a New York Times article. Creating detailed 285 00:15:33,160 --> 00:15:36,200 Speaker 1: portraits of Americans based on government data is not just 286 00:15:36,240 --> 00:15:39,280 Speaker 1: a pipe dream. The Trump administration has already sought access 287 00:15:39,320 --> 00:15:42,200 Speaker 1: to hundreds of data points on citizens and others through 288 00:15:42,240 --> 00:15:46,080 Speaker 1: government databases, including their bank account numbers, the amount of 289 00:15:46,120 --> 00:15:50,320 Speaker 1: their student debt, their medical claims and any disability status. 290 00:15:50,920 --> 00:15:54,000 Speaker 1: Mister Trump could potentially use such information to advance his 291 00:15:54,040 --> 00:15:58,840 Speaker 1: political agenda by policing immigrants and punishing critics. Democratic lawmakers 292 00:15:58,880 --> 00:16:02,440 Speaker 1: and critics have said. Privacy advocates, student unions, and labor 293 00:16:02,480 --> 00:16:06,200 Speaker 1: rights organizations have filed lawsuits to block data access, questioning 294 00:16:06,200 --> 00:16:09,000 Speaker 1: whether the government could weaponize people's personal information. 295 00:16:10,640 --> 00:16:15,480 Speaker 2: Yeah, volunteers all over all kinds of like carcoral shit too. 296 00:16:15,680 --> 00:16:17,760 Speaker 2: And also Margie Taylor, Greens just bought a lot of 297 00:16:17,840 --> 00:16:23,440 Speaker 2: Palentteer stock according to our latest financial disclosures. So yeah, yeah, yeah, yeah, 298 00:16:23,480 --> 00:16:25,400 Speaker 2: I think things are things are mood of moving in 299 00:16:25,440 --> 00:16:29,880 Speaker 2: this direction, continue to Polenteer also recently began helping Immigration 300 00:16:29,920 --> 00:16:32,880 Speaker 2: and Customs enforcement and removal operations teams. 301 00:16:32,960 --> 00:16:35,680 Speaker 1: According to two Palentteer employees and two current and former 302 00:16:35,760 --> 00:16:38,760 Speaker 1: DHS officials, the work is part of a thirty million 303 00:16:38,800 --> 00:16:42,040 Speaker 1: dollar contract that ICE signed with Palenteer in April to 304 00:16:42,080 --> 00:16:46,240 Speaker 1: build a platform to track migrant movements in real time. Wow, 305 00:16:47,240 --> 00:16:51,080 Speaker 1: this was like a very simple way of putting it, 306 00:16:51,120 --> 00:16:56,000 Speaker 1: because like the response, sorry, there's a plane going overhead 307 00:16:56,680 --> 00:16:59,840 Speaker 1: because I think they heard me criticize the Trump administration. 308 00:17:00,080 --> 00:17:01,160 Speaker 2: Oh right, for us. 309 00:17:01,280 --> 00:17:04,040 Speaker 1: So the response or the defense of this has been, like, 310 00:17:04,040 --> 00:17:06,920 Speaker 1: this information's out there. We're just like working smarter by 311 00:17:07,000 --> 00:17:11,200 Speaker 1: like collecting information and organizing it together. So it's not 312 00:17:11,280 --> 00:17:15,440 Speaker 1: like this disparate thing of like files, you know, paper files, 313 00:17:15,480 --> 00:17:19,960 Speaker 1: we're actually creating. And a person who worked for Palnenter 314 00:17:20,000 --> 00:17:23,080 Speaker 1: for years and just quit was like, data that is 315 00:17:23,119 --> 00:17:27,320 Speaker 1: collected for one reason should not be repurposed for other uses. 316 00:17:28,240 --> 00:17:31,680 Speaker 1: Combining all that data, even with the noblest of intentions, 317 00:17:32,000 --> 00:17:37,639 Speaker 1: significantly increases the risk of misuse. Oh great, Yeah, so 318 00:17:38,359 --> 00:17:40,879 Speaker 1: you may notice that this sort of thing that like 319 00:17:41,040 --> 00:17:45,879 Speaker 1: conservative values are supposed to stand against is coming up 320 00:17:45,920 --> 00:17:49,400 Speaker 1: more and more like the first thing that I ever knew, 321 00:17:49,400 --> 00:17:52,119 Speaker 1: and like the most consistent thing I've known about conservatives, 322 00:17:52,119 --> 00:17:55,119 Speaker 1: because they'll change their mind about fucking everything. But the 323 00:17:55,160 --> 00:17:57,760 Speaker 1: one thing that I do know is that they love 324 00:17:57,840 --> 00:18:01,199 Speaker 1: guns because they don't trust the government. You know, they're like, 325 00:18:01,280 --> 00:18:03,919 Speaker 1: I need my gun because the government can comes like me. 326 00:18:04,040 --> 00:18:07,080 Speaker 2: Now it's just like brown and poor people. Yeah, yeah, 327 00:18:07,119 --> 00:18:09,840 Speaker 2: you know, because now the government is in their image, right. 328 00:18:09,960 --> 00:18:13,879 Speaker 1: But like they're supposed to be like and have been. 329 00:18:14,040 --> 00:18:17,080 Speaker 2: Small government, Hands off your hondy privacy. You don't need 330 00:18:17,119 --> 00:18:18,359 Speaker 2: this information. Fuck you. 331 00:18:18,600 --> 00:18:21,800 Speaker 1: Yeah, like this is a direct attack on the shit 332 00:18:21,920 --> 00:18:24,440 Speaker 1: that like Peter TiAl is supposed to be a libertarian 333 00:18:24,720 --> 00:18:29,040 Speaker 1: and he's helping the government compile massive databases that will 334 00:18:29,359 --> 00:18:32,119 Speaker 1: help them punish their critics. Yeah. 335 00:18:32,280 --> 00:18:33,680 Speaker 2: I mean that's the thing. I'm just not going to 336 00:18:33,720 --> 00:18:34,800 Speaker 2: be on the receiving end of that. 337 00:18:34,880 --> 00:18:38,000 Speaker 1: So that's fine, that's right, exactly, that's fine for Peter Teele. 338 00:18:38,800 --> 00:18:41,720 Speaker 1: Ordinary run of the mill racists who voted for Trump 339 00:18:41,760 --> 00:18:43,879 Speaker 1: seem a little less certain that this is a good idea. 340 00:18:44,040 --> 00:18:44,200 Speaker 2: Right. 341 00:18:44,440 --> 00:18:46,920 Speaker 1: This is from a Newsweek article just about like how 342 00:18:47,080 --> 00:18:50,560 Speaker 1: this is somewhat unpopular, They said. Numerous pro Trump voices 343 00:18:50,600 --> 00:18:54,600 Speaker 1: expressed dismay and feelings of betrayal across social media platforms. 344 00:18:54,760 --> 00:18:58,920 Speaker 1: People are so quick to suggest that I flipped on Trump. No, no, no, 345 00:18:59,080 --> 00:19:01,840 Speaker 1: I didn't flip on Trum. Trump flipped on us. 346 00:19:01,960 --> 00:19:03,520 Speaker 2: Oh hell okay, Malcolm X. 347 00:19:03,680 --> 00:19:06,840 Speaker 1: I'm not willing to continue living in a lie, living 348 00:19:06,920 --> 00:19:10,040 Speaker 1: in a lie, and I will tell you the unfortunate truth. 349 00:19:10,320 --> 00:19:15,240 Speaker 1: That's that's from the Patriot Voice, who has one hundred 350 00:19:15,240 --> 00:19:18,000 Speaker 1: and fifty eight thousand followers on X. Damn the Hodge Twins, 351 00:19:18,000 --> 00:19:22,200 Speaker 1: even the Hodge twins even they have more than three 352 00:19:22,240 --> 00:19:25,439 Speaker 1: point three million followers on x and in response to 353 00:19:25,440 --> 00:19:28,560 Speaker 1: the New York Times report, they wrote hope this ain't true, y'all, 354 00:19:29,640 --> 00:19:32,400 Speaker 1: and then a later post that day, don't know if 355 00:19:32,400 --> 00:19:34,520 Speaker 1: this is true, but I did not vote for this. 356 00:19:34,920 --> 00:19:36,080 Speaker 2: Oh wow, yeah, I get it. 357 00:19:36,080 --> 00:19:41,879 Speaker 1: Tatted everyone, even Nick Fuent has you know Nazi Nazi 358 00:19:42,200 --> 00:19:44,040 Speaker 1: Well he, I mean, he definitely runs. 359 00:19:43,840 --> 00:19:46,520 Speaker 2: A foul like he definitely disagrees with trumpl up. Let's 360 00:19:46,520 --> 00:19:46,920 Speaker 2: he doing that? 361 00:19:47,000 --> 00:19:52,440 Speaker 1: Let's do he says, the ultimate betrayal of his own people. 362 00:19:53,160 --> 00:19:56,200 Speaker 2: Yeah, this is feeding every This is a quote quote 363 00:19:56,200 --> 00:19:59,360 Speaker 2: feeding every Maggi extremistage, an AI database controlled by a 364 00:19:59,359 --> 00:20:03,320 Speaker 2: CIA most sad cut out. Yeah, seriously, if palenteers in 365 00:20:03,359 --> 00:20:06,080 Speaker 2: the deep state, than what is Yeah, okay. 366 00:20:06,359 --> 00:20:09,159 Speaker 1: I'm beginning to think it started when DJT walked down 367 00:20:09,240 --> 00:20:14,520 Speaker 1: that escalator before twenty sixteen wrote redneck common sense. So yeah, 368 00:20:14,520 --> 00:20:18,000 Speaker 1: I don't know. Assuming they'll be called pannikins by Jack Psibiak, 369 00:20:18,160 --> 00:20:23,800 Speaker 1: the terrible word that they came up with for panicking Americans, 370 00:20:23,840 --> 00:20:24,680 Speaker 1: for people who. 371 00:20:24,520 --> 00:20:27,080 Speaker 2: Are observing the events unfolding around them. 372 00:20:27,359 --> 00:20:33,920 Speaker 1: Yes, but just their whole main value is like panicking. 373 00:20:33,960 --> 00:20:37,000 Speaker 1: They're bit like that that's the thing that conservatives, Yeah, 374 00:20:37,040 --> 00:20:40,239 Speaker 1: we always have. It's like panicking about people who are 375 00:20:40,240 --> 00:20:44,600 Speaker 1: different than them, panicking about riting rights. Yeah, people's rights, 376 00:20:44,640 --> 00:20:48,879 Speaker 1: people who don't like the people that they like, people 377 00:20:48,880 --> 00:20:49,560 Speaker 1: who are Nike. 378 00:20:49,880 --> 00:20:52,320 Speaker 2: Yeah, it's all. It's it is funny that like their 379 00:20:52,359 --> 00:20:55,480 Speaker 2: whole motivate, their biggest motivating tool they use for their 380 00:20:55,520 --> 00:20:58,520 Speaker 2: bases to panic them. And then they're like, rightfully like, yo, 381 00:20:58,560 --> 00:21:00,960 Speaker 2: what the fuck is like now that they get panicking? 382 00:21:01,320 --> 00:21:03,800 Speaker 1: Okay, okay panic in Skywalker? 383 00:21:06,200 --> 00:21:08,640 Speaker 2: You think how many overlaps so bad? 384 00:21:09,800 --> 00:21:10,280 Speaker 1: Panicing? 385 00:21:10,560 --> 00:21:14,960 Speaker 2: Oh? I still thinking Star Wars. I'm like, yeah, it's 386 00:21:14,960 --> 00:21:17,679 Speaker 2: pretty mid for a Star Wars name. No, I like, 387 00:21:18,600 --> 00:21:21,000 Speaker 2: that's a good name. That's an and orfucker. This was 388 00:21:21,040 --> 00:21:24,080 Speaker 2: stelling Scars. I was like, that's see, that's a Star 389 00:21:24,119 --> 00:21:29,480 Speaker 2: Wars Skywalker. Yeah, Skywalker. Hey, this is my boy is. 390 00:21:29,480 --> 00:21:32,480 Speaker 1: One of the dopest names. Like they really like an 391 00:21:32,480 --> 00:21:33,359 Speaker 1: ad on that one. 392 00:21:34,080 --> 00:21:40,640 Speaker 2: Yeah. Man, back to simpler times. 393 00:21:40,440 --> 00:21:40,800 Speaker 1: All right? 394 00:21:40,840 --> 00:21:41,240 Speaker 2: What else? 395 00:21:41,280 --> 00:21:44,960 Speaker 1: We got? Got seven new chips coming to shelves this summer, 396 00:21:45,359 --> 00:21:49,560 Speaker 1: but some of some of them may be edible. There 397 00:21:49,600 --> 00:21:53,880 Speaker 1: is an uts lemonade flavor which I can't conceive of liking. 398 00:21:54,080 --> 00:21:55,520 Speaker 2: Potato lemon flavor. 399 00:21:55,560 --> 00:22:02,680 Speaker 1: Potato lemonade flavor. They got Dorito's twist, did caso? Twisted caso? 400 00:22:03,119 --> 00:22:05,520 Speaker 1: And then lemonade potato chips? 401 00:22:05,640 --> 00:22:08,760 Speaker 2: Okay, lay Southern biscuits and gravy. I'm gonna try that. 402 00:22:09,080 --> 00:22:14,159 Speaker 1: Oh yeah, there's good here, but lemonade flavored potato chips. 403 00:22:14,200 --> 00:22:15,800 Speaker 2: I'm trying to I see, I'm trying to find I'm 404 00:22:15,840 --> 00:22:18,800 Speaker 2: seeking joy right now in this list. Yeah, I'm going 405 00:22:18,840 --> 00:22:20,040 Speaker 2: over the ones that upset me. 406 00:22:20,520 --> 00:22:21,760 Speaker 1: I chose darkness. 407 00:22:21,960 --> 00:22:23,200 Speaker 2: Which one do you like the best? 408 00:22:23,600 --> 00:22:23,800 Speaker 1: Tie? 409 00:22:23,840 --> 00:22:26,439 Speaker 2: Sweet red curry? I feel like they already have that 410 00:22:26,520 --> 00:22:29,680 Speaker 2: in the abroad. Yeah, yeah, like Walkers Crisps. 411 00:22:29,720 --> 00:22:33,320 Speaker 1: They should just be bringing ship from broad that is 412 00:22:33,359 --> 00:22:35,679 Speaker 1: like already a hit and be like, I don't know, 413 00:22:35,920 --> 00:22:41,000 Speaker 1: maybe that my sweet chili one is good? You like twists? 414 00:22:41,400 --> 00:22:42,000 Speaker 2: No? 415 00:22:41,720 --> 00:22:45,440 Speaker 1: No, why like why fuck with the original? Like Little Scoopers. 416 00:22:45,640 --> 00:22:48,760 Speaker 2: It's kids, dude, They're trying to recapture a new generation. 417 00:22:49,200 --> 00:22:52,480 Speaker 1: It is giving corn nuts to me. It's like so dense, 418 00:22:52,880 --> 00:22:57,399 Speaker 1: you know you corn nuts break my teeth on them. Yeah, 419 00:22:57,440 --> 00:23:00,480 Speaker 1: they're like the grape nuts of like salty snow food. 420 00:23:00,640 --> 00:23:02,399 Speaker 2: I would be so excited to open a bag of 421 00:23:02,480 --> 00:23:04,720 Speaker 2: fucking corn nuts and then they'd break my I don't 422 00:23:04,720 --> 00:23:07,200 Speaker 2: know every time, Like the fuck these are so hard. 423 00:23:07,240 --> 00:23:09,119 Speaker 2: I thought there's like a little chippy. 424 00:23:09,320 --> 00:23:11,520 Speaker 1: Nuts or those things suck? 425 00:23:12,000 --> 00:23:14,439 Speaker 2: Do they still selldos? They've got to, right, that's I 426 00:23:14,440 --> 00:23:17,800 Speaker 2: think we have so much fucking corn lying around in 427 00:23:17,840 --> 00:23:20,280 Speaker 2: this country. Oh yeah, my. 428 00:23:20,280 --> 00:23:23,919 Speaker 1: Kids eat a h a snack called like love corn 429 00:23:24,160 --> 00:23:27,120 Speaker 1: that's like, you know, been like goop washed. It's like 430 00:23:27,200 --> 00:23:29,960 Speaker 1: we're it's like a corn based snack, but it's just 431 00:23:30,040 --> 00:23:31,040 Speaker 1: like crispy. 432 00:23:32,080 --> 00:23:33,399 Speaker 2: Oh yeah, corn. 433 00:23:33,520 --> 00:23:36,280 Speaker 1: Yeah, they're just trying to get rid of the corn. 434 00:23:36,440 --> 00:23:37,560 Speaker 1: I know, corn. 435 00:23:38,280 --> 00:23:40,040 Speaker 2: We got a bunch of corn corners. We gotta do 436 00:23:40,080 --> 00:23:41,520 Speaker 2: something with man scoop them. 437 00:23:41,760 --> 00:23:44,919 Speaker 1: When do we feed people in movies pop corn? I 438 00:23:44,920 --> 00:23:46,800 Speaker 1: don't know. Will that do something? 439 00:23:47,000 --> 00:23:49,119 Speaker 2: Can we make a car out of corn, like a 440 00:23:49,119 --> 00:23:51,760 Speaker 2: whole car? That would help? 441 00:23:52,800 --> 00:23:56,600 Speaker 1: I mean we fuel our cars with corn. Twisted caeso 442 00:23:56,760 --> 00:24:01,240 Speaker 1: is probably the one A Dorito's twisted caso. I like 443 00:24:01,440 --> 00:24:05,880 Speaker 1: kso and might as well. You know it's nacho cheese's. 444 00:24:06,119 --> 00:24:09,720 Speaker 1: Nacho cheese is one of the all time great snack foods. 445 00:24:09,760 --> 00:24:12,159 Speaker 2: I'm just saying. Biscuits and gray. Gravy gets my attention. 446 00:24:12,240 --> 00:24:14,200 Speaker 2: That's the mis gets. 447 00:24:13,960 --> 00:24:16,159 Speaker 1: And gravy gets my attention. And then I look at 448 00:24:16,160 --> 00:24:17,160 Speaker 1: the picture on the thing. 449 00:24:17,359 --> 00:24:19,000 Speaker 2: Don't worry, but they never looked good. 450 00:24:19,440 --> 00:24:20,560 Speaker 1: Nah, it doesn't. 451 00:24:20,640 --> 00:24:24,200 Speaker 2: You're just eating congealed white fat with sausage, just like. 452 00:24:24,200 --> 00:24:25,840 Speaker 1: You can make it look good in the picture. 453 00:24:25,960 --> 00:24:29,320 Speaker 2: I don't care, bro, I need to hear the words, yeah. 454 00:24:29,359 --> 00:24:31,520 Speaker 1: Sausage gravy. What are we talking about here? 455 00:24:31,640 --> 00:24:34,439 Speaker 2: Are probably not going to fucking I don't know, Yeah. 456 00:24:34,359 --> 00:24:36,200 Speaker 1: Yeah, it will like sausage gravy. 457 00:24:36,240 --> 00:24:38,280 Speaker 2: It's this chunk country's chicken shit. Man. 458 00:24:39,040 --> 00:24:43,040 Speaker 1: This country don't believe in nothing anymore. All right, Those 459 00:24:43,040 --> 00:24:45,280 Speaker 1: are some of the things that are trending on this 460 00:24:45,440 --> 00:24:48,160 Speaker 1: Wednesday afternoon. We are back tomorrow with the whole last 461 00:24:48,160 --> 00:24:51,640 Speaker 1: episode of the show. Until then, be kind to each other, 462 00:24:51,760 --> 00:24:54,720 Speaker 1: be kind to yourself, get your vaccines where you still 463 00:24:54,760 --> 00:24:58,160 Speaker 1: can't get your flu shots, don't do nothing about white supremacy, 464 00:24:58,240 --> 00:24:59,960 Speaker 1: and we will talk to you all tomorrow. 465 00:25:00,000 --> 00:25:05,120 Speaker 2: Bye bye. The Daily Zeitgeist is executive produced by Catherine Law. 466 00:25:05,200 --> 00:25:09,200 Speaker 1: Co produced by Bye Wage, co produced by Victor Wright, 467 00:25:09,600 --> 00:25:13,320 Speaker 1: co written by J. M McNabb, and edited and engineered 468 00:25:13,359 --> 00:25:15,560 Speaker 1: by Brian Jeffries,