1 00:00:05,600 --> 00:00:10,479 Speaker 1: Jack stop deep throating the mic, Jesus throating the mic? Yeah, 2 00:00:10,480 --> 00:00:12,720 Speaker 1: and he stops spitting on it too. Can you stop 3 00:00:12,760 --> 00:00:13,480 Speaker 1: hot hot too? 4 00:00:13,560 --> 00:00:18,560 Speaker 2: It? Had you seen that video of her saying concrete 5 00:00:18,680 --> 00:00:21,200 Speaker 2: jungle wet dream Tomato, that's her. 6 00:00:21,400 --> 00:00:22,280 Speaker 1: That's the same one. 7 00:00:22,480 --> 00:00:23,480 Speaker 2: That's the same girl. 8 00:00:23,640 --> 00:00:25,000 Speaker 1: Okay, she's funny. 9 00:00:25,600 --> 00:00:28,840 Speaker 2: I know she's just fucking she. Don't get her a 10 00:00:28,880 --> 00:00:29,960 Speaker 2: reality show. 11 00:00:30,000 --> 00:00:32,240 Speaker 1: They are, They've signed her for all sorts of shit. 12 00:00:32,440 --> 00:00:35,760 Speaker 2: I like that jay Z song Concrete Jungle Wet dreams 13 00:00:35,760 --> 00:00:36,720 Speaker 2: to make ato. 14 00:00:39,640 --> 00:00:41,199 Speaker 1: Okay, first I thought you didn't know what she was, 15 00:00:41,640 --> 00:00:42,800 Speaker 1: but she knows what she's doing. 16 00:00:49,240 --> 00:00:52,519 Speaker 2: Hello the Internet, and welcome to season three point fifty one, 17 00:00:52,560 --> 00:00:57,120 Speaker 2: Episode five of Dardilly's I Guys Stay production of iHeart Radio. 18 00:00:57,880 --> 00:00:59,800 Speaker 2: This is a podcast where we take a deep dive 19 00:00:59,840 --> 00:01:04,399 Speaker 2: into america shared consciousness. And it is Friday, August sixteenth, 20 00:01:04,600 --> 00:01:09,759 Speaker 2: twenty twenty four, eight sixteen, twenty four. We're counting by 21 00:01:09,800 --> 00:01:13,480 Speaker 2: eights here, folks. I've been waiting for it. It's a 22 00:01:13,520 --> 00:01:20,319 Speaker 2: mathematical day of some sort. That's that's official. I'm a 23 00:01:20,360 --> 00:01:25,959 Speaker 2: math expert. Anyways. My name's Jack O'Brien aka one Love, Nope, 24 00:01:26,000 --> 00:01:32,680 Speaker 2: one Glove one couch. Let's fuck the cushion and feel 25 00:01:32,840 --> 00:01:37,000 Speaker 2: all right? That one courtesy of Lacaroni on the Discord, 26 00:01:37,120 --> 00:01:43,959 Speaker 2: in reference to our erstwhile gop VP nominee. I don't 27 00:01:44,000 --> 00:01:48,000 Speaker 2: know if I used erstwow correctly, but anyways, he's he 28 00:01:48,160 --> 00:01:52,040 Speaker 2: is the gop VP nominee, and he may or may 29 00:01:52,080 --> 00:01:55,320 Speaker 2: not have fucked a couch. I'm thrilled to be joined 30 00:01:55,400 --> 00:01:57,640 Speaker 2: by a very special guest co host, a hilarious stand 31 00:01:57,680 --> 00:02:00,960 Speaker 2: up comedian, writer, actor improviser. You could catch her on 32 00:02:01,120 --> 00:02:04,200 Speaker 2: stage all the time just go to her website, but 33 00:02:04,360 --> 00:02:07,840 Speaker 2: definitely at the monthly Facial Recognition comedy show, which she 34 00:02:07,880 --> 00:02:10,160 Speaker 2: also produces. It's Polygala. 35 00:02:13,720 --> 00:02:15,240 Speaker 3: Well, I have. 36 00:02:15,280 --> 00:02:18,480 Speaker 4: A fun idea, then maybe it just changed your mind. 37 00:02:18,960 --> 00:02:21,720 Speaker 4: I know you're craving a win now and Camala is 38 00:02:21,840 --> 00:02:25,280 Speaker 4: just so nice and we could live so happily if 39 00:02:25,320 --> 00:02:29,240 Speaker 4: no one knows your miny's policies. I'm computed, but really, 40 00:02:29,960 --> 00:02:31,639 Speaker 4: really really. 41 00:02:31,919 --> 00:02:40,520 Speaker 5: Please please please don't be the right. Please please please 42 00:02:40,960 --> 00:02:42,160 Speaker 5: don't bring me to. 43 00:02:42,280 --> 00:02:47,160 Speaker 4: Tears when I just did my taxes so right. Heartbreak 44 00:02:47,360 --> 00:02:54,520 Speaker 4: is one thing, imperialisms another. I beg you don't embarrass me, motherfucker. 45 00:02:55,240 --> 00:02:58,600 Speaker 4: Ah please please please. 46 00:02:58,320 --> 00:03:01,320 Speaker 1: My last part and poorly, but the idea nailed it. 47 00:03:01,400 --> 00:03:01,920 Speaker 2: You nailed it. 48 00:03:01,960 --> 00:03:02,560 Speaker 1: I nailed it. 49 00:03:02,680 --> 00:03:05,280 Speaker 2: I nailed That was wonderful. 50 00:03:05,480 --> 00:03:08,480 Speaker 1: That was because you were talking about all the gen 51 00:03:08,560 --> 00:03:10,680 Speaker 1: Z artists that that's Sabrina Carpenter for you. 52 00:03:10,800 --> 00:03:14,480 Speaker 2: Jack, of course it is Sabrina Carpenter. And that's how 53 00:03:14,520 --> 00:03:14,960 Speaker 2: I feel. 54 00:03:15,320 --> 00:03:18,080 Speaker 1: I feel so embarrassed by everything right now. 55 00:03:18,120 --> 00:03:21,359 Speaker 2: I know Jesus Christ did. That was just off off 56 00:03:21,360 --> 00:03:23,440 Speaker 2: the dome. That was apoll of the original. 57 00:03:23,360 --> 00:03:25,880 Speaker 1: That I prepped that one. I always have to prep 58 00:03:25,919 --> 00:03:26,880 Speaker 1: because I'm very bad. 59 00:03:28,080 --> 00:03:32,280 Speaker 2: That was beautiful. Well done. You thank you so much 60 00:03:32,320 --> 00:03:33,640 Speaker 2: for joining us all week. 61 00:03:34,320 --> 00:03:35,960 Speaker 1: Tipurators so fun. 62 00:03:36,080 --> 00:03:39,360 Speaker 2: It's been here all week, folks. We are thrilled Paulavi 63 00:03:39,520 --> 00:03:44,640 Speaker 2: to be joined in our third seat by a brilliant filmmaker, writer, actor, comedian, 64 00:03:44,800 --> 00:03:48,920 Speaker 2: podcaster who co founded small Beans, which the av Club 65 00:03:48,960 --> 00:03:51,560 Speaker 2: called one of the best podcast networks where you can 66 00:03:51,600 --> 00:03:54,200 Speaker 2: find uh. He and a bunch of the talented people 67 00:03:54,240 --> 00:03:57,480 Speaker 2: we worked with at Cracked creating content. He co hosted 68 00:03:57,520 --> 00:03:59,760 Speaker 2: the Cracked podcast with me made and started in a 69 00:03:59,760 --> 00:04:02,600 Speaker 2: bunch of the best videos we made there just dropped 70 00:04:02,680 --> 00:04:06,680 Speaker 2: the audiobook of his brilliant first novel, The Climb. Please 71 00:04:06,720 --> 00:04:10,760 Speaker 2: welcome the brilliant and talented Michael Swam. 72 00:04:12,080 --> 00:04:18,400 Speaker 3: Everybody, Michael Swam a A K forty seven. Boom boom, 73 00:04:18,480 --> 00:04:22,760 Speaker 3: You're dead. I win. A certain segment of America loves me. 74 00:04:23,040 --> 00:04:24,559 Speaker 3: I get free fast food. 75 00:04:25,120 --> 00:04:25,680 Speaker 2: There you go. 76 00:04:26,520 --> 00:04:29,560 Speaker 1: Yeah, wait, free fast food is the best. 77 00:04:32,520 --> 00:04:34,680 Speaker 2: How are you, Michael? It's great, great to have you 78 00:04:34,760 --> 00:04:35,520 Speaker 2: back on the show. 79 00:04:35,960 --> 00:04:38,000 Speaker 3: Been too man, Always good to be here. 80 00:04:38,120 --> 00:04:38,360 Speaker 2: Yeah. 81 00:04:38,800 --> 00:04:41,800 Speaker 3: I had to duck out last time we SYNCD up 82 00:04:41,839 --> 00:04:45,400 Speaker 3: because of a severe medical issue. So yeah, I'm much better. Yeah. 83 00:04:45,600 --> 00:04:46,240 Speaker 2: Those scary. 84 00:04:46,480 --> 00:04:50,160 Speaker 3: It's like the day of They never found out what 85 00:04:50,200 --> 00:04:51,840 Speaker 3: it was, which is scary. 86 00:04:51,560 --> 00:04:57,160 Speaker 2: Too and also fun. You know, keeps people guessing, keeps 87 00:04:57,160 --> 00:04:58,120 Speaker 2: the mystery of life. 88 00:04:58,160 --> 00:05:01,200 Speaker 3: All though since then, I've been to the Year Separate 89 00:05:01,279 --> 00:05:05,400 Speaker 3: Things once in an ambulance. Geez, I'm on a good streak. 90 00:05:06,080 --> 00:05:06,359 Speaker 2: Wow. 91 00:05:06,560 --> 00:05:08,480 Speaker 1: I hope you're training to be a paramedic. 92 00:05:10,480 --> 00:05:17,280 Speaker 3: Oh, they were all just informational ride alongs. Yeah, interesting professions. Yeah, 93 00:05:17,320 --> 00:05:20,440 Speaker 3: I'm still sending Jack pitches. Are you not getting my pitches? 94 00:05:20,839 --> 00:05:21,839 Speaker 3: Did you spam me? 95 00:05:22,120 --> 00:05:22,440 Speaker 2: Dude? 96 00:05:22,600 --> 00:05:23,640 Speaker 3: You spam folder me. 97 00:05:23,800 --> 00:05:25,560 Speaker 1: That's like how I had to shoot someone. But that 98 00:05:25,680 --> 00:05:28,080 Speaker 1: was just in a ride along to be a police officer. 99 00:05:28,200 --> 00:05:33,279 Speaker 2: You know, Yeah, I love the ride alongs. Michael. We 100 00:05:33,320 --> 00:05:34,680 Speaker 2: are going to get to know you a little bit 101 00:05:34,680 --> 00:05:36,160 Speaker 2: better in a moment. First, we're going to tell the 102 00:05:36,240 --> 00:05:39,200 Speaker 2: listeners a couple of things we're talking about. We have 103 00:05:39,400 --> 00:05:43,600 Speaker 2: secrets behind the scenes videos of one of the architects 104 00:05:43,600 --> 00:05:47,120 Speaker 2: of Project twenty twenty five talking about that, so we 105 00:05:47,160 --> 00:05:49,479 Speaker 2: have just a little bit better insight into what it 106 00:05:49,520 --> 00:05:53,480 Speaker 2: all means, what they're planning. We'll talk about RFK Junior 107 00:05:53,920 --> 00:05:58,160 Speaker 2: trying to meet with Kamala Harris to get a cabinet job. 108 00:05:58,800 --> 00:06:00,839 Speaker 2: That's not going well for him. 109 00:06:01,200 --> 00:06:03,640 Speaker 1: Secretary of the brainworm, Yes. 110 00:06:04,839 --> 00:06:08,520 Speaker 2: I mean he has specific asks that you would think 111 00:06:08,640 --> 00:06:11,039 Speaker 2: the whole brainworm of it all would get in the way. 112 00:06:11,200 --> 00:06:13,040 Speaker 2: But ah, the balls on this guy. 113 00:06:13,120 --> 00:06:14,840 Speaker 1: He's getting gratituded by the brainworm. 114 00:06:15,279 --> 00:06:20,440 Speaker 2: Is this brainworm the most ambitious brainworm of all times? 115 00:06:20,720 --> 00:06:24,760 Speaker 1: Please find some soil demand shed put new top soil down. 116 00:06:27,000 --> 00:06:30,000 Speaker 2: We'll talk about that. We'll talk about maybe a Laura 117 00:06:30,200 --> 00:06:35,640 Speaker 2: Ingram conspiracy. Maybe this uh AI image generator the grock 118 00:06:36,279 --> 00:06:39,839 Speaker 2: on it on Twitter. Yeah, it's always fun when a 119 00:06:39,880 --> 00:06:42,960 Speaker 2: new AI image generator comes out and they haven't been 120 00:06:43,040 --> 00:06:46,800 Speaker 2: sued enough yet to like rein it in all of 121 00:06:46,839 --> 00:06:50,440 Speaker 2: that plenty more. But first, Michael Swayin, we do like 122 00:06:50,520 --> 00:06:54,240 Speaker 2: to ask our guest, what is something from your search 123 00:06:54,640 --> 00:06:57,320 Speaker 2: history that is revealing about who you are? 124 00:06:58,320 --> 00:07:02,320 Speaker 3: Search item? Disco le see them large Thought Cabinet print 125 00:07:02,440 --> 00:07:08,159 Speaker 3: canvas over four hundred and fifty dollars, because even though 126 00:07:08,200 --> 00:07:11,080 Speaker 3: I'm between giants right now, every once in a while 127 00:07:11,160 --> 00:07:14,600 Speaker 3: you have to just go nuts. I didn't find one 128 00:07:14,640 --> 00:07:17,520 Speaker 3: that I could purchase. I'm really if people who have 129 00:07:17,560 --> 00:07:19,720 Speaker 3: played Disco Elysium, which is a great point and click 130 00:07:19,760 --> 00:07:24,160 Speaker 3: adventure game that's just super well written and highly politically 131 00:07:24,280 --> 00:07:28,080 Speaker 3: charged and trippy as all get out. And there's this 132 00:07:28,240 --> 00:07:32,840 Speaker 3: brilliant like the stats image is pretty notable. It's called 133 00:07:32,880 --> 00:07:35,920 Speaker 3: the Thought Cabinet. And I'm trying, I am trying to 134 00:07:35,920 --> 00:07:37,640 Speaker 3: find a print, but all the prints I can find, 135 00:07:37,760 --> 00:07:40,760 Speaker 3: I think don't treat it with enough respect. So like 136 00:07:40,840 --> 00:07:43,840 Speaker 3: I want a really nice, big one, like a mature 137 00:07:43,920 --> 00:07:47,240 Speaker 3: adult copy of this thing from this video game, and 138 00:07:47,280 --> 00:07:49,400 Speaker 3: it's hard to find, so I might just buy the 139 00:07:49,480 --> 00:07:51,720 Speaker 3: eighty dollars cheap. 140 00:07:51,680 --> 00:07:54,440 Speaker 2: Like a print canvas that would like go up on 141 00:07:54,480 --> 00:07:56,320 Speaker 2: your wall or this is it's huge. 142 00:07:56,480 --> 00:07:59,520 Speaker 3: Yeah, I want a really big canvas that treats it 143 00:07:59,560 --> 00:08:01,880 Speaker 3: like a realing because it is a real painting. 144 00:08:02,440 --> 00:08:05,840 Speaker 2: Now. I don't play a lot of video games, sure, 145 00:08:05,880 --> 00:08:08,880 Speaker 2: but I do like to have video games described to me, 146 00:08:09,080 --> 00:08:12,360 Speaker 2: and I find it's very entertaining. So I am curious 147 00:08:12,400 --> 00:08:14,200 Speaker 2: to hear more about disco Elysium. 148 00:08:14,720 --> 00:08:20,840 Speaker 3: Yeah. It's very very text and like dialogue heavy. It's 149 00:08:20,880 --> 00:08:27,960 Speaker 3: about a broken down, alcoholic, amnesiac cop in a sort 150 00:08:28,000 --> 00:08:31,880 Speaker 3: of alternate history Europe that's fractured into a bunch of 151 00:08:31,920 --> 00:08:39,199 Speaker 3: tiny nation states and you do things like internalize Mazovian 152 00:08:39,360 --> 00:08:43,880 Speaker 3: socioeconomics is like an action you take in the RPG 153 00:08:44,240 --> 00:08:49,240 Speaker 3: or various like it's all about your internal thought process 154 00:08:49,440 --> 00:08:52,320 Speaker 3: and it's very hard to describe, but you can find 155 00:08:52,360 --> 00:08:53,920 Speaker 3: a lot of info on it. It was one of 156 00:08:53,960 --> 00:08:56,480 Speaker 3: the notable games of the year. What's really funny about 157 00:08:56,520 --> 00:09:01,160 Speaker 3: it is it's super super leftist and like take down 158 00:09:01,200 --> 00:09:04,560 Speaker 3: the Man, communism is cool, et cetera. And it just 159 00:09:04,600 --> 00:09:08,679 Speaker 3: got option to be an Amazon series, which is like. 160 00:09:08,920 --> 00:09:13,040 Speaker 2: Chi ching Bezos has been radicalized. Yeah. 161 00:09:13,600 --> 00:09:14,679 Speaker 3: Yeah, I just. 162 00:09:14,640 --> 00:09:17,600 Speaker 1: Had to google so many words and I wrote. 163 00:09:18,040 --> 00:09:21,000 Speaker 3: Disco Elsium's the name of the game, and then I was. 164 00:09:20,960 --> 00:09:25,960 Speaker 1: Like, Masovian socio economics. Yeah, what does I prefer to 165 00:09:26,040 --> 00:09:27,720 Speaker 1: be a leftist who doesn't read? 166 00:09:28,200 --> 00:09:31,240 Speaker 2: Yeah, too much homework involved in that sounds like a lot, But. 167 00:09:31,240 --> 00:09:34,560 Speaker 1: That in a TikTok video and I will spread misinformation. 168 00:09:34,040 --> 00:09:38,120 Speaker 2: Like wow, I do like tiny nation states like that. 169 00:09:38,120 --> 00:09:41,480 Speaker 2: That is something from history that always like just reading 170 00:09:41,520 --> 00:09:45,880 Speaker 2: about early Italian or Greek history where it was like 171 00:09:46,320 --> 00:09:50,640 Speaker 2: warring the warring nations were were the equivalent of like 172 00:09:51,120 --> 00:09:54,480 Speaker 2: rival like small town football teams. It was like, you know, 173 00:09:54,760 --> 00:09:57,360 Speaker 2: twenty thousand people over here, twenty thousand people over there. 174 00:09:57,720 --> 00:10:00,600 Speaker 3: Maybe I should have said satellite states because this is 175 00:10:00,600 --> 00:10:03,920 Speaker 3: definitely like half and half hard boiled detective and eighties 176 00:10:04,040 --> 00:10:07,840 Speaker 3: like USSR fracturing into Okay, thanks got it? 177 00:10:08,320 --> 00:10:14,480 Speaker 2: Nice sounds fun. What is something that you think is underrated? Michael, Yeah, I. 178 00:10:14,440 --> 00:10:16,120 Speaker 3: Was just talking about this last night with a friend 179 00:10:16,120 --> 00:10:22,360 Speaker 3: because the new Steven Soderberg movies kind of far presence shot. 180 00:10:22,600 --> 00:10:24,800 Speaker 3: It's a ghost movie and a haunted house shot from 181 00:10:24,800 --> 00:10:28,079 Speaker 3: the point of view of the ghost. It looks very interesting. 182 00:10:28,720 --> 00:10:34,400 Speaker 3: But regardless, dude did so much and I find because 183 00:10:34,440 --> 00:10:37,319 Speaker 3: I talk about film exhaustively with all my friends. It's 184 00:10:37,360 --> 00:10:40,040 Speaker 3: what we mainly talk about. And when you go best 185 00:10:40,080 --> 00:10:45,160 Speaker 3: director ever, you always immediately surface and I don't you 186 00:10:45,200 --> 00:10:47,880 Speaker 3: don't necessarily agree with all of them. That's too long 187 00:10:47,960 --> 00:10:50,920 Speaker 3: to get into. But the ones we say, you know, 188 00:10:51,160 --> 00:10:56,480 Speaker 3: like Tuarantying now, Kubrick, Spielberg, and no one ever says 189 00:10:56,520 --> 00:10:59,439 Speaker 3: Steven Soderberg, and it's insane that we don't because he 190 00:10:59,559 --> 00:11:05,360 Speaker 3: is up there with those people dudes all dud's unfortunately, 191 00:11:05,480 --> 00:11:11,680 Speaker 3: but but yeah, Soderbergh's awesome. That's my unsane. So good 192 00:11:11,760 --> 00:11:15,480 Speaker 3: shot on phones I hate because my ID, you know, 193 00:11:15,600 --> 00:11:19,559 Speaker 3: trying to break into Hollywood. I'd always say, you need 194 00:11:19,679 --> 00:11:21,840 Speaker 3: there's these gatekeepers and you need so much money. And 195 00:11:21,880 --> 00:11:23,640 Speaker 3: my Mom's like, just shoot it on your phone. I'm like, 196 00:11:23,679 --> 00:11:26,640 Speaker 3: you don't get it, Mom. Then fucking Steven Soderbergh's like, 197 00:11:26,880 --> 00:11:29,000 Speaker 3: I'll do it. I think you're cool. 198 00:11:29,320 --> 00:11:29,560 Speaker 2: Yeah. 199 00:11:29,760 --> 00:11:32,360 Speaker 1: They did that with like Monkey Man too, because like 200 00:11:32,480 --> 00:11:34,960 Speaker 1: they had so many issues in filming that and like 201 00:11:35,000 --> 00:11:37,199 Speaker 1: their cameras got messed up and it was COVID and. 202 00:11:37,160 --> 00:11:38,120 Speaker 3: They went like phones. 203 00:11:38,400 --> 00:11:40,640 Speaker 1: They had to do some scenes on phone, and it 204 00:11:40,720 --> 00:11:43,040 Speaker 1: ended up being really cool because they like would do 205 00:11:43,160 --> 00:11:45,600 Speaker 1: like a swinging effect with it, and it was like 206 00:11:45,720 --> 00:11:48,600 Speaker 1: I was like, damn, this is really scrappy and I 207 00:11:48,600 --> 00:11:50,920 Speaker 1: love it so much. But also I'm like, yeah, there's 208 00:11:50,920 --> 00:11:53,480 Speaker 1: no excuse for us to not make great things. 209 00:11:53,559 --> 00:11:57,120 Speaker 2: And I hate that sometimes FaceTime does interrupt the shot 210 00:11:57,200 --> 00:11:58,880 Speaker 2: and you just have to be okay with that. You 211 00:11:58,920 --> 00:12:02,880 Speaker 2: just have to from your mom asking you why you're 212 00:12:02,880 --> 00:12:04,160 Speaker 2: not shooting on how. 213 00:12:04,000 --> 00:12:05,880 Speaker 1: Come you can direct a full movie but you can't 214 00:12:05,920 --> 00:12:08,480 Speaker 1: direct your parents how to use the front face and 215 00:12:08,520 --> 00:12:09,600 Speaker 1: camera correctly. 216 00:12:10,240 --> 00:12:13,200 Speaker 3: I just always write in a robot character that vibrates 217 00:12:13,240 --> 00:12:15,720 Speaker 3: occasionally so you can keep rolling through it. 218 00:12:15,640 --> 00:12:19,600 Speaker 1: And every movie I just put it romantic comedy. 219 00:12:21,400 --> 00:12:26,080 Speaker 2: The robot are your number one sodaberg movies like like 220 00:12:26,640 --> 00:12:28,680 Speaker 2: give me your top five soda Burgh? Are they the 221 00:12:28,720 --> 00:12:31,320 Speaker 2: ones that like people have seen? Are they the ones 222 00:12:31,559 --> 00:12:33,959 Speaker 2: that people like haven't heard it? Because he really mixes 223 00:12:34,000 --> 00:12:36,400 Speaker 2: it up like that, there will be that's the other 224 00:12:37,160 --> 00:12:39,760 Speaker 2: films in there with Oceans eleven, I know. 225 00:12:39,800 --> 00:12:41,439 Speaker 1: I was like, it'd be so funny if Michael was 226 00:12:41,440 --> 00:12:43,559 Speaker 1: like Ocean's eleven, Oceans twelve. 227 00:12:43,640 --> 00:12:51,480 Speaker 3: Thirteen stands up. I think traffic, of course, is a biggie. 228 00:12:52,200 --> 00:12:53,320 Speaker 3: I'm looking through everything. 229 00:12:53,400 --> 00:12:54,719 Speaker 1: What was the first one, you said. 230 00:12:54,880 --> 00:13:00,520 Speaker 3: Aaron Brackovic aon Yeah, unsane, he did Magic Mike's Last Stance. 231 00:13:00,760 --> 00:13:04,199 Speaker 3: I really like Solaris as well. I'm looking through here. 232 00:13:04,280 --> 00:13:09,199 Speaker 3: I really like the Informants really good. Yeah, yeah, because 233 00:13:09,280 --> 00:13:13,560 Speaker 3: he almost always does some kind of weird restriction that 234 00:13:13,640 --> 00:13:16,160 Speaker 3: I find really interesting. So for like he did the 235 00:13:16,160 --> 00:13:18,640 Speaker 3: phone's front saying for sex size and videotape they shot 236 00:13:18,720 --> 00:13:23,680 Speaker 3: on VHS videotape quite intentionally for the Informant. It has 237 00:13:23,760 --> 00:13:27,199 Speaker 3: that concept where it's like, what if a character's internal 238 00:13:27,240 --> 00:13:30,120 Speaker 3: monologue did not comport with what was going on around them, 239 00:13:30,320 --> 00:13:33,640 Speaker 3: Like he's never thinking about what the scene's about, which 240 00:13:33,720 --> 00:13:36,840 Speaker 3: is so I just find he does these bold maneuvers 241 00:13:36,840 --> 00:13:41,880 Speaker 3: that I really really respect. And yeah, Ocean's eleven put 242 00:13:41,920 --> 00:13:45,480 Speaker 3: it on there. It was undeniable, gun deniably great movie. 243 00:13:45,600 --> 00:13:48,680 Speaker 3: You got us entertained by a whole movie just being 244 00:13:48,720 --> 00:13:52,360 Speaker 3: the gang getting together montage and then an explanation of 245 00:13:52,400 --> 00:13:56,240 Speaker 3: how in retrospect we did the heist already and it's done, 246 00:13:56,440 --> 00:14:00,960 Speaker 3: like that's so simple. Yeah, and Brad Pit eating an apple. 247 00:14:01,480 --> 00:14:03,600 Speaker 2: God, he's so good at eating it's great. 248 00:14:03,720 --> 00:14:03,920 Speaker 3: Yeah. 249 00:14:04,000 --> 00:14:11,120 Speaker 2: Yeah, yeah, what is something you think is overratedes, okay, shit, 250 00:14:11,280 --> 00:14:12,360 Speaker 2: dessert everything. 251 00:14:13,280 --> 00:14:15,640 Speaker 3: I don't know if this is just me or if 252 00:14:15,640 --> 00:14:18,520 Speaker 3: other people are experiencing this in the world, because like 253 00:14:18,720 --> 00:14:21,840 Speaker 3: we obviously did a ZEITGEISTI in turn where now it's 254 00:14:21,960 --> 00:14:26,480 Speaker 3: dark chocolate out paste milk chocolate, which when I was younger, 255 00:14:26,520 --> 00:14:30,440 Speaker 3: it was milk chocolate everywhere. Yeah, s'mores are everywhere now 256 00:14:30,520 --> 00:14:35,920 Speaker 3: that I'm seeing there's like s'mores flavored so yeahes things 257 00:14:35,960 --> 00:14:38,920 Speaker 3: trying to taste like smores. It's a stupid word, has 258 00:14:39,080 --> 00:14:43,640 Speaker 3: needless apostrophe. Some moores, you want some moores? Fuck you 259 00:14:43,680 --> 00:14:48,320 Speaker 3: get out of here, dry cracker, Like, I don't understand 260 00:14:48,320 --> 00:14:51,680 Speaker 3: why other better things, like a fine chocolate at a 261 00:14:51,760 --> 00:14:54,440 Speaker 3: chocolate tears, are trying to taste like s'mores. 262 00:14:54,760 --> 00:14:58,480 Speaker 1: Yeah, a thing that's like a nostalgia thing of like 263 00:14:58,560 --> 00:15:01,200 Speaker 1: being around a bonfire, being it like at a like 264 00:15:01,240 --> 00:15:04,640 Speaker 1: going camping, And they're trying to take that and change 265 00:15:04,680 --> 00:15:07,960 Speaker 1: the ethos of it to make it like fancier or 266 00:15:08,040 --> 00:15:11,080 Speaker 1: different or whatever. And it's like the reason this is 267 00:15:11,120 --> 00:15:14,200 Speaker 1: good is for the memories. You know. If I'm sitting 268 00:15:14,240 --> 00:15:17,040 Speaker 1: at home like eating us more, I'm like, this is 269 00:15:17,080 --> 00:15:17,800 Speaker 1: not this is sad. 270 00:15:17,880 --> 00:15:18,120 Speaker 2: Now. 271 00:15:18,600 --> 00:15:22,760 Speaker 3: Yeah, my argument is just eat chocolate and throw glow 272 00:15:22,800 --> 00:15:26,040 Speaker 3: sticks into the fire because they explode and then you 273 00:15:26,080 --> 00:15:30,320 Speaker 3: glow and it's awesome. Yeah, I probably carcinogenic. 274 00:15:30,560 --> 00:15:33,000 Speaker 2: Yeah, it's probably not good for you. And then the 275 00:15:33,200 --> 00:15:36,760 Speaker 2: glowing gas. 276 00:15:36,160 --> 00:15:39,600 Speaker 1: Different than I do and you're so sick. 277 00:15:40,920 --> 00:15:44,640 Speaker 3: We did do that, that was one of our And 278 00:15:44,640 --> 00:15:47,920 Speaker 3: then yeah, because they get hot and boil and pop 279 00:15:48,320 --> 00:15:50,680 Speaker 3: and then you have dots of glowing ship all over 280 00:15:50,760 --> 00:15:52,320 Speaker 3: you and you play hide and seek and there. 281 00:15:52,640 --> 00:15:56,920 Speaker 2: Well, god, really that sounds really super fun, psychedelic and fun. 282 00:15:57,120 --> 00:16:00,760 Speaker 3: It would make a good nostalgic like jj abrams be seen. Yeah, 283 00:16:00,960 --> 00:16:03,440 Speaker 3: kids playing Yeah, yeah. 284 00:16:03,120 --> 00:16:05,920 Speaker 2: I think you zeroed in on it with the dry crackers. 285 00:16:06,320 --> 00:16:09,320 Speaker 2: You mentioned the dry crackers of the s'mores, And I 286 00:16:09,360 --> 00:16:11,840 Speaker 2: think that it's always the thing that when. 287 00:16:11,640 --> 00:16:19,760 Speaker 3: I crackers and marshmallows are mid they're not They're not bad. 288 00:16:19,880 --> 00:16:21,680 Speaker 1: They're marshmallows are really good. 289 00:16:22,000 --> 00:16:23,400 Speaker 2: What mygan marshmallows. 290 00:16:23,680 --> 00:16:27,080 Speaker 1: Marshmallows think you're better than regular marketers. And I'm but 291 00:16:27,120 --> 00:16:29,480 Speaker 1: like when I was vegetarian, like my meat eating friends, 292 00:16:29,560 --> 00:16:31,560 Speaker 1: they would do that thing where they're like this is 293 00:16:31,560 --> 00:16:32,800 Speaker 1: actually better than the original. 294 00:16:33,040 --> 00:16:34,520 Speaker 2: Wow, I actually believe you. 295 00:16:34,520 --> 00:16:39,080 Speaker 3: You ever hear people say vagan and go what vegan? Yeah, 296 00:16:39,240 --> 00:16:42,440 Speaker 3: I'm encountering vegan lately too, vegan broccoli? 297 00:16:43,240 --> 00:16:46,760 Speaker 2: Is that? Are they saying vagan like instead of the vegan? 298 00:16:47,160 --> 00:16:50,600 Speaker 3: Yeah, yeah, yeah, instead of I'm hearing vegan pronounced vegan. 299 00:16:51,160 --> 00:16:54,200 Speaker 2: But are they doing it as a bit like I'm 300 00:16:54,320 --> 00:16:58,920 Speaker 2: vaguely vegan? No, no, actually vegan. They're doing it like 301 00:16:59,280 --> 00:17:00,600 Speaker 2: more acute vegan. 302 00:17:00,720 --> 00:17:06,480 Speaker 3: And yeah, I think it's like they're implying that it's 303 00:17:06,520 --> 00:17:07,680 Speaker 3: the proper pronunciation. 304 00:17:08,400 --> 00:17:12,160 Speaker 2: Yeah, I'm so vegan that. 305 00:17:13,240 --> 00:17:17,080 Speaker 1: It feels against it. Like this is like meat eaters saying, like, what, 306 00:17:17,240 --> 00:17:19,679 Speaker 1: how can we make them more fucking annoy? Right? 307 00:17:20,200 --> 00:17:22,919 Speaker 2: Have you ever had? I mean, I guess if you 308 00:17:22,960 --> 00:17:26,639 Speaker 2: don't like two of the three ingredients, you're probably off. 309 00:17:27,000 --> 00:17:30,600 Speaker 2: But if you replace the dry crackers with some moist cookies, 310 00:17:31,200 --> 00:17:33,639 Speaker 2: it's actually pretty good. 311 00:17:34,240 --> 00:17:37,720 Speaker 3: And like, oh yeah, squishy chocolate chip cookie sandwich with 312 00:17:37,880 --> 00:17:42,120 Speaker 3: marshmallow and cho marshmallow and chocolate chocolate. Yeah. 313 00:17:42,200 --> 00:17:44,679 Speaker 1: Okay, now you guys sound like you're trying to elevate 314 00:17:44,720 --> 00:17:46,680 Speaker 1: this more. Again, it sounds like you're doing. 315 00:17:48,240 --> 00:17:51,760 Speaker 2: We're doing a bit of an elevated some more concept. 316 00:17:51,400 --> 00:17:53,320 Speaker 1: A deconstructed construction. 317 00:17:54,200 --> 00:17:57,359 Speaker 2: And also like the dry crackers, just like crumble too much. 318 00:17:57,400 --> 00:18:00,600 Speaker 2: They're just you take a bite into them and it's 319 00:17:59,800 --> 00:18:02,040 Speaker 2: now in forty five pieces. 320 00:18:02,320 --> 00:18:02,520 Speaker 3: You know. 321 00:18:02,560 --> 00:18:04,800 Speaker 1: That's the beauty of it. That's why we can't escape 322 00:18:04,800 --> 00:18:07,480 Speaker 1: the nature Valley Granola Bar. We love the mess. We're 323 00:18:07,520 --> 00:18:08,960 Speaker 1: just messy bitches. 324 00:18:08,640 --> 00:18:11,239 Speaker 2: You know. Yeah, yeah, yeah, that is my think. I 325 00:18:11,280 --> 00:18:13,520 Speaker 2: just need that shit to be like crumbs in the bag, 326 00:18:13,600 --> 00:18:15,760 Speaker 2: crumbling on my chest, bag baby. 327 00:18:15,600 --> 00:18:19,639 Speaker 3: Yeah, bums in the streets, crumbs in the sheets. 328 00:18:21,359 --> 00:18:25,240 Speaker 2: I also, you mentioned that we went from milk chocolate 329 00:18:25,240 --> 00:18:28,440 Speaker 2: to dark chocolate, and I'm I want to go back 330 00:18:28,920 --> 00:18:29,280 Speaker 2: me too. 331 00:18:29,520 --> 00:18:32,639 Speaker 1: I love the chocolate. It always felt like dark chocolate 332 00:18:32,720 --> 00:18:36,240 Speaker 1: people were like very pretentious because they made me feel 333 00:18:36,280 --> 00:18:37,080 Speaker 1: bad about it. 334 00:18:37,400 --> 00:18:40,600 Speaker 3: They're like thirty just as a treat sometime when you 335 00:18:40,640 --> 00:18:43,480 Speaker 3: want to feel extra adult and you have that acquired taste, 336 00:18:43,560 --> 00:18:47,439 Speaker 3: fifty percent sixty seventy percent dark chocolate, and it's all 337 00:18:47,520 --> 00:18:49,040 Speaker 3: you can get at the grocery store. 338 00:18:49,320 --> 00:18:53,639 Speaker 1: We have control over the percent of dark chocolate. Everything 339 00:18:53,640 --> 00:18:56,320 Speaker 1: in the rest of your life is crumbling. But if 340 00:18:56,359 --> 00:18:59,439 Speaker 1: you were able to take this bitterness, just like you 341 00:18:59,480 --> 00:19:02,239 Speaker 1: are your in your beer. Then you can take the 342 00:19:02,240 --> 00:19:04,280 Speaker 1: fact that your wife Susan left you. 343 00:19:04,720 --> 00:19:05,400 Speaker 3: Yeah, I just. 344 00:19:05,320 --> 00:19:09,879 Speaker 2: Eat baking cocoa actually, and that's my preferred form of 345 00:19:09,920 --> 00:19:15,719 Speaker 2: chocolate intake trend raw dog and coco coco. 346 00:19:16,240 --> 00:19:16,480 Speaker 3: Yeah. 347 00:19:16,520 --> 00:19:20,720 Speaker 2: I feel like it's for people who take pride in 348 00:19:20,760 --> 00:19:23,680 Speaker 2: the wrong things about being an adult. You know, they're 349 00:19:23,760 --> 00:19:26,919 Speaker 2: just like suffering. I've had people say to it, be 350 00:19:26,960 --> 00:19:29,920 Speaker 2: like you like chocolate, Oh, you like like dark chocolate, 351 00:19:29,960 --> 00:19:30,520 Speaker 2: Like how dark? 352 00:19:30,560 --> 00:19:30,960 Speaker 3: You know? 353 00:19:31,040 --> 00:19:35,359 Speaker 2: They want to get into like a dark chocolate darkness off. 354 00:19:35,480 --> 00:19:38,600 Speaker 1: And I'm saying that I don't feels very Silicon Valley 355 00:19:38,640 --> 00:19:40,520 Speaker 1: tech bro. I'm having like flashbacks. 356 00:19:40,840 --> 00:19:45,879 Speaker 2: Yeah, leave me out of your sick fucking game man. Anyways, 357 00:19:46,200 --> 00:19:49,480 Speaker 2: Milk chocolate for life. Let's take a quick break and 358 00:19:49,760 --> 00:20:04,400 Speaker 2: we'll be right back. And we're back. Milk chocolate also 359 00:20:04,520 --> 00:20:07,120 Speaker 2: like a lower melting. 360 00:20:06,760 --> 00:20:12,920 Speaker 3: Point, right so, and yeah, uses, I'm my understanding unless 361 00:20:12,960 --> 00:20:16,560 Speaker 3: I'm wrong or what I've heard, is that less bad 362 00:20:16,600 --> 00:20:18,879 Speaker 3: for the environment. In the same way, Greek yogurt is 363 00:20:19,080 --> 00:20:21,480 Speaker 3: tougher on the supply chain because. 364 00:20:21,240 --> 00:20:23,400 Speaker 2: It's like so denser and traded. 365 00:20:23,800 --> 00:20:28,520 Speaker 3: You're like, let me use even more cow cow cocaw. Now, 366 00:20:29,200 --> 00:20:31,600 Speaker 3: let me cram even more in there, even more densely, 367 00:20:31,640 --> 00:20:33,920 Speaker 3: and eat it all at once like a little chocolate pig. 368 00:20:34,080 --> 00:20:37,600 Speaker 2: Yeah, chool, what's that ship that they'd be smoking? Cocow 369 00:20:39,440 --> 00:20:46,800 Speaker 2: the reference to an obscure method man track. All right, Uh, 370 00:20:46,880 --> 00:20:51,480 Speaker 2: let's get into it. So Project twenty twenty five we've 371 00:20:51,480 --> 00:20:53,800 Speaker 2: been told we should be afraid of it. But then 372 00:20:53,920 --> 00:20:56,439 Speaker 2: Donald Trump was like, I don't even know what what 373 00:20:56,480 --> 00:21:00,680 Speaker 2: are you? Are you saying project project? I'm not I'm 374 00:21:00,720 --> 00:21:04,960 Speaker 2: not even sure what that is, and then like distanced 375 00:21:05,040 --> 00:21:08,600 Speaker 2: himself from it. People who were involved with it have 376 00:21:08,680 --> 00:21:12,960 Speaker 2: been fired from his campaign, and like they really seemed 377 00:21:13,040 --> 00:21:17,720 Speaker 2: to be kind of concerned about people finding out what 378 00:21:17,800 --> 00:21:22,160 Speaker 2: Project twenty twenty five is and dissociating it with them. However, 379 00:21:22,440 --> 00:21:26,159 Speaker 2: they're not so concerned that they're not actually planning on 380 00:21:26,880 --> 00:21:29,720 Speaker 2: fully instituting this shit the second they get in the 381 00:21:29,720 --> 00:21:35,480 Speaker 2: White House. So a British journalism nonprofit went undercover posing 382 00:21:35,520 --> 00:21:38,080 Speaker 2: as relatives of a wealthy conservative donor. 383 00:21:38,440 --> 00:21:41,880 Speaker 1: It's so easy, you have any chocolate straw bear. 384 00:21:43,080 --> 00:21:45,639 Speaker 3: They're British, So they went under sheet. 385 00:21:48,440 --> 00:21:51,360 Speaker 1: Just Project twenty twenty five is bad, isn't it? 386 00:21:51,680 --> 00:21:52,040 Speaker 3: In it? 387 00:21:52,800 --> 00:21:54,400 Speaker 2: You're doing Project twenty. 388 00:21:54,080 --> 00:21:57,440 Speaker 1: Twenty massively so bad. 389 00:21:59,720 --> 00:22:02,640 Speaker 2: But you know, they had their suspicions, but not enough 390 00:22:02,680 --> 00:22:05,200 Speaker 2: to turn down. They were talking about a seven figure 391 00:22:05,280 --> 00:22:09,760 Speaker 2: donation to his think tank, and god, we need to 392 00:22:09,840 --> 00:22:12,760 Speaker 2: keep the think tanks in operation, the right wing think 393 00:22:12,800 --> 00:22:17,360 Speaker 2: tanks in Washington. So they record an interview with this 394 00:22:17,440 --> 00:22:21,000 Speaker 2: guy whose name I think it was Russell Vote or 395 00:22:21,280 --> 00:22:27,080 Speaker 2: it's like Vought, Yeah, Russell Vote, and he is a 396 00:22:27,119 --> 00:22:30,199 Speaker 2: former Trump Cabinet member, one of the key authors of 397 00:22:30,600 --> 00:22:33,919 Speaker 2: Project twenty twenty five, and also one of the key 398 00:22:34,000 --> 00:22:38,760 Speaker 2: authors of the Republican Platform, like at the RNC a 399 00:22:38,800 --> 00:22:43,280 Speaker 2: couple of weeks ago. So like this project that they're claiming, 400 00:22:43,280 --> 00:22:46,360 Speaker 2: they're like, we don't even know about her. Who what 401 00:22:47,080 --> 00:22:50,639 Speaker 2: It's written by the same people who write their fucking platform. 402 00:22:51,119 --> 00:22:53,560 Speaker 3: Never heard of him. He walks by in the background, 403 00:22:53,640 --> 00:22:56,040 Speaker 3: hair exactly. 404 00:22:57,920 --> 00:23:01,320 Speaker 2: Russell is, uh, how do you pronounced vo ughd? 405 00:23:01,640 --> 00:23:06,160 Speaker 3: I'm gonna say Vought like the boys, like evil, evil 406 00:23:06,480 --> 00:23:07,800 Speaker 3: bastard to watch the boys. 407 00:23:08,080 --> 00:23:11,200 Speaker 1: Yeah, that is so funny that that's that is such 408 00:23:11,200 --> 00:23:13,679 Speaker 1: a prominent show right now, and it's like such a 409 00:23:13,720 --> 00:23:16,960 Speaker 1: well known I wonder if there's any Vought as in 410 00:23:17,240 --> 00:23:18,720 Speaker 1: Vought industries yes. 411 00:23:19,480 --> 00:23:22,960 Speaker 2: So he is also being mentioned as possible White House 412 00:23:23,040 --> 00:23:28,200 Speaker 2: Chief of Staff in Trump's next administration. So because very cool, 413 00:23:29,000 --> 00:23:32,199 Speaker 2: but totally Trump has no idea about any of this 414 00:23:32,240 --> 00:23:35,240 Speaker 2: twenty twenty five stuff. What he said was essentially kind 415 00:23:35,280 --> 00:23:39,040 Speaker 2: of what we already suspected. He said, Trump's distancing himself 416 00:23:39,080 --> 00:23:42,600 Speaker 2: from Project twenty twenty five, but it's like purely politics. 417 00:23:43,080 --> 00:23:46,359 Speaker 2: He asked why we can't demand that people immigrating to 418 00:23:46,440 --> 00:23:52,680 Speaker 2: the United States be Christians. He described his stance as 419 00:23:52,960 --> 00:23:58,080 Speaker 2: Christian nationism. He was like, I'm not quite Christian nationalism, 420 00:23:58,280 --> 00:24:01,480 Speaker 2: but Christian nation is prefer. 421 00:24:01,600 --> 00:24:02,679 Speaker 1: A purer word. 422 00:24:04,119 --> 00:24:11,119 Speaker 2: Technically, you're too soft, and Away said be spare but true, 423 00:24:11,320 --> 00:24:15,120 Speaker 2: but also racist but also racist. And you did kind 424 00:24:15,119 --> 00:24:19,200 Speaker 2: of say that his own way, his shotgun to the face. 425 00:24:21,880 --> 00:24:25,400 Speaker 2: His plans also include to restrict pornography and. 426 00:24:26,000 --> 00:24:29,119 Speaker 1: Okay, and for that, I'm out. I'm sorry, I lost, 427 00:24:29,920 --> 00:24:34,400 Speaker 1: and I'm curious. When he said Christian right. 428 00:24:34,880 --> 00:24:38,000 Speaker 2: Does feel like one that they are going to like, 429 00:24:38,080 --> 00:24:41,560 Speaker 2: he even acknowledges He's like, and so with the pornography band, 430 00:24:41,600 --> 00:24:44,640 Speaker 2: we're gonna have to like backdoor that one, so to speak. 431 00:24:45,000 --> 00:24:48,040 Speaker 3: And you know what I mean, you know what I mean. 432 00:24:48,200 --> 00:24:51,920 Speaker 2: Uh, not to use my favorite search phrase, but we're 433 00:24:51,960 --> 00:24:53,480 Speaker 2: gonna have to backdoor that one. 434 00:24:53,920 --> 00:24:58,200 Speaker 3: But I think we need to double penetrate the public consciousness. 435 00:25:00,880 --> 00:25:03,280 Speaker 1: Car throat what we're giving them. 436 00:25:03,680 --> 00:25:07,480 Speaker 2: Yes, but also they have this plan to like do 437 00:25:07,680 --> 00:25:13,639 Speaker 2: the biggest mass deportation of all time and basically start 438 00:25:13,880 --> 00:25:17,560 Speaker 2: a culture war around it, and then that will like, 439 00:25:17,640 --> 00:25:21,000 Speaker 2: it's like that will start a conversation that they will 440 00:25:21,040 --> 00:25:26,760 Speaker 2: then use to like win the argument on multiculturalism. It's 441 00:25:27,000 --> 00:25:28,040 Speaker 2: just yeah, I. 442 00:25:28,000 --> 00:25:31,080 Speaker 1: Heard a Dana Dana I forget what her last name 443 00:25:31,119 --> 00:25:33,760 Speaker 1: is interview with Jadie Vance where she just like eviscerated 444 00:25:33,800 --> 00:25:37,040 Speaker 1: him for like twenty minutes. And he was asked about 445 00:25:37,040 --> 00:25:40,960 Speaker 1: this deportation thing because they want to deport fifteen million 446 00:25:41,400 --> 00:25:44,840 Speaker 1: people within the US, and she was like, logistically, how 447 00:25:44,880 --> 00:25:47,760 Speaker 1: the fuck is that going to happen? And he was like, well, 448 00:25:47,800 --> 00:25:49,800 Speaker 1: you know, you got to close the borders, because the 449 00:25:49,880 --> 00:25:53,159 Speaker 1: borders are and he had literally just said that Kamala 450 00:25:53,200 --> 00:25:55,879 Speaker 1: Harris had no power as we but he was like, 451 00:25:55,960 --> 00:25:57,919 Speaker 1: but she's in charge of the border and he couldn't 452 00:25:58,000 --> 00:26:00,639 Speaker 1: but he couldn't answer like how they were going to 453 00:26:00,760 --> 00:26:04,040 Speaker 1: do that or what the what would happen from that. 454 00:26:04,760 --> 00:26:07,640 Speaker 1: But they're talking about fifteen million people. 455 00:26:08,000 --> 00:26:10,960 Speaker 3: Right, No, I mean physically buses, planes, What are we 456 00:26:11,000 --> 00:26:11,760 Speaker 3: talking exactly? 457 00:26:11,800 --> 00:26:14,160 Speaker 1: And he's door to door asking for papers, like. 458 00:26:15,200 --> 00:26:18,040 Speaker 3: We've thought of that. We're a think tank. I have 459 00:26:18,160 --> 00:26:18,520 Speaker 3: to go. 460 00:26:19,119 --> 00:26:22,240 Speaker 1: You know, we stay thinking all the time. Of course 461 00:26:22,240 --> 00:26:25,760 Speaker 1: we have a plan to supposedly, I'm thinking. 462 00:26:25,960 --> 00:26:29,439 Speaker 2: We're not a think car, We're not even a thing bus. 463 00:26:29,480 --> 00:26:34,159 Speaker 2: We're a think tank and America think tanks. Yeah, let 464 00:26:34,200 --> 00:26:37,280 Speaker 2: me see what he said. Okay, all right, DHS, we 465 00:26:37,320 --> 00:26:40,679 Speaker 2: want to have the largest deportation. What are your actual 466 00:26:40,720 --> 00:26:43,320 Speaker 2: memos that a secretary sends out to do it? Like, 467 00:26:43,680 --> 00:26:47,679 Speaker 2: here's an executive order, regulation, secretarial memos. Those are the 468 00:26:47,720 --> 00:26:50,000 Speaker 2: types of things that need to be thought through, so 469 00:26:50,080 --> 00:26:53,000 Speaker 2: you're not you're not having to scramble or do that 470 00:26:53,119 --> 00:26:55,480 Speaker 2: later on. So they're basically saying they have all the 471 00:26:55,520 --> 00:26:59,840 Speaker 2: memos drafted to deport you know, millions and millions of people. 472 00:27:00,160 --> 00:27:05,159 Speaker 3: They're also doing ap government to the vice presidential They're like, 473 00:27:05,560 --> 00:27:13,200 Speaker 3: so there's the legislative branch and there's the yeahs taking notes. 474 00:27:13,440 --> 00:27:18,200 Speaker 2: Yeah, another hidden video what one of the projects? Twenty 475 00:27:18,240 --> 00:27:22,720 Speaker 2: twenty five people said of all the work that they've 476 00:27:22,760 --> 00:27:25,200 Speaker 2: done in advance. It's a big fat stack of papers 477 00:27:25,240 --> 00:27:28,680 Speaker 2: that will be distributed during the transition period. You don't 478 00:27:28,720 --> 00:27:31,600 Speaker 2: actually like send them to their work emails in order 479 00:27:31,600 --> 00:27:34,840 Speaker 2: to avoid disclosure under the Freedom of Information Act. So 480 00:27:35,160 --> 00:27:41,119 Speaker 2: they're already preparing the to hide the documents. So that 481 00:27:41,680 --> 00:27:44,560 Speaker 2: so it's like already just like a secret plan to 482 00:27:45,720 --> 00:27:50,639 Speaker 2: make the country more white and Christian, which is, I 483 00:27:50,680 --> 00:27:54,240 Speaker 2: guess what you would expect. But it's just so bald 484 00:27:54,240 --> 00:27:55,520 Speaker 2: faced as. 485 00:27:55,400 --> 00:27:57,320 Speaker 1: Let's just leave and take our food with us. I'm 486 00:27:57,359 --> 00:28:00,000 Speaker 1: sick of this shit, you know what I mean? Yeah, 487 00:28:00,040 --> 00:28:04,160 Speaker 1: God speak to them without our seasoning. Okay. 488 00:28:04,760 --> 00:28:07,920 Speaker 3: Also, if you ever find yourself in a position where 489 00:28:07,960 --> 00:28:11,000 Speaker 3: you're like, okay, shut up, shut up, we're the good guys. 490 00:28:11,040 --> 00:28:13,520 Speaker 3: We're the good guys. But don't tell anyone what we're 491 00:28:13,520 --> 00:28:16,760 Speaker 3: talking about because it's so fucked up. Okay, Okay, this 492 00:28:16,840 --> 00:28:20,760 Speaker 3: is good that we're doing this. Examine self examine at 493 00:28:20,760 --> 00:28:21,200 Speaker 3: that point. 494 00:28:21,880 --> 00:28:26,240 Speaker 2: Yeah, And the other thing that they recognized that Trump 495 00:28:26,359 --> 00:28:28,720 Speaker 2: had like a lot of leakers in his first administration, 496 00:28:28,920 --> 00:28:31,840 Speaker 2: Like there was a lot of inefficiencies, and this guy's 497 00:28:31,880 --> 00:28:34,960 Speaker 2: basically like, we are going to be prepared to totally. 498 00:28:35,480 --> 00:28:39,200 Speaker 2: You know it's going to be only died in wool 499 00:28:39,640 --> 00:28:42,080 Speaker 2: megaites in his administration. 500 00:28:43,200 --> 00:28:47,600 Speaker 3: Is no one in this room could be all. 501 00:28:47,520 --> 00:28:50,480 Speaker 2: Those and this guy is clearly the best at testing 502 00:28:50,720 --> 00:28:52,400 Speaker 2: the purity of someone's conviction. 503 00:28:52,840 --> 00:28:54,680 Speaker 3: Giant foam hat with a camera in it. 504 00:28:54,760 --> 00:28:58,760 Speaker 2: Yeah, they said they have like dozens of cameras all 505 00:28:58,800 --> 00:28:59,760 Speaker 2: over the hotel room. 506 00:29:00,240 --> 00:29:04,760 Speaker 3: It's it's like to catch a predator. Yeah, there's a host. 507 00:29:04,920 --> 00:29:06,800 Speaker 1: Rudy Giuliana heard that and turned around. 508 00:29:07,840 --> 00:29:11,840 Speaker 2: There's do they ever do that? And to catch a predator? 509 00:29:12,120 --> 00:29:15,080 Speaker 2: Like I actually never watched the show. Do they actually 510 00:29:15,080 --> 00:29:17,240 Speaker 2: do the reveal where they're like, there's a camera there, 511 00:29:17,280 --> 00:29:19,680 Speaker 2: there's a camera there, Like they didn't to. 512 00:29:19,760 --> 00:29:24,280 Speaker 3: Pour fifteen million people? Yeah? I don't think so. You're 513 00:29:24,720 --> 00:29:26,320 Speaker 3: you're on reality TV? 514 00:29:28,960 --> 00:29:33,920 Speaker 1: Oh oh you it's like punked. Oh you guys really 515 00:29:33,920 --> 00:29:34,200 Speaker 1: got me? 516 00:29:34,280 --> 00:29:35,600 Speaker 2: You got you saw the text. 517 00:29:36,000 --> 00:29:39,240 Speaker 3: I'm from long long term. 518 00:29:40,000 --> 00:29:44,760 Speaker 1: I think what I'm confused on is it feels like 519 00:29:44,760 --> 00:29:47,160 Speaker 1: they've been working on Project twenty twenty five forever, like 520 00:29:47,200 --> 00:29:50,760 Speaker 1: that's just like the Republican agenda. But it does seem 521 00:29:51,040 --> 00:29:53,479 Speaker 1: a bit scarier that they put pen to paper and 522 00:29:53,520 --> 00:29:56,360 Speaker 1: they do have these plans that are now visible to 523 00:29:56,480 --> 00:30:00,400 Speaker 1: us of for example, deporting these fifteen million people. But 524 00:30:02,120 --> 00:30:03,720 Speaker 1: I don't know it, just it feels like this is 525 00:30:03,720 --> 00:30:06,640 Speaker 1: what they've been doing, Like has change. 526 00:30:06,720 --> 00:30:10,240 Speaker 3: Chaney Cheney tried the same thing behind the scenes in secret. 527 00:30:10,600 --> 00:30:15,400 Speaker 3: He called it like the Great Conservative Reboot or reconciliation 528 00:30:15,600 --> 00:30:19,200 Speaker 3: or some shit. And it's always this idea of if 529 00:30:19,200 --> 00:30:22,520 Speaker 3: we like cheat hard enough or do something, we can 530 00:30:22,560 --> 00:30:28,280 Speaker 3: make it so it's Republicans forever and there's no other party. 531 00:30:28,320 --> 00:30:31,760 Speaker 3: And it's like, you can't make millions of people decide 532 00:30:32,360 --> 00:30:35,400 Speaker 3: that your way of life is correct. There's no way 533 00:30:35,440 --> 00:30:37,320 Speaker 3: to force that. But they want. 534 00:30:37,400 --> 00:30:40,560 Speaker 2: They're much better position to do it now with the judiciary, 535 00:30:40,880 --> 00:30:43,440 Speaker 2: like with the Supreme Court, being to. 536 00:30:43,400 --> 00:30:46,760 Speaker 3: Put their people in powered and push their policies. But 537 00:30:46,760 --> 00:30:49,080 Speaker 3: I'm saying, you can't make people in their hearts go 538 00:30:49,560 --> 00:30:51,440 Speaker 3: I do hate my trans friends, you. 539 00:30:51,400 --> 00:30:53,320 Speaker 1: Know what I mean. But I think that's what I think. 540 00:30:53,360 --> 00:30:55,960 Speaker 1: They want to just eliminate the trans friends, you know 541 00:30:55,960 --> 00:30:59,440 Speaker 1: what I mean. Like, I think that's the final solution. 542 00:30:59,480 --> 00:31:02,360 Speaker 3: They're looking that's the end and game is fascism is 543 00:31:02,520 --> 00:31:03,240 Speaker 3: yeah for Sate. 544 00:31:03,440 --> 00:31:06,000 Speaker 2: I think one of the scariest things about Project twenty 545 00:31:06,040 --> 00:31:08,280 Speaker 2: twenty five, because I think you're right that, like a 546 00:31:08,320 --> 00:31:11,680 Speaker 2: lot of the details sound like a lot of the 547 00:31:11,720 --> 00:31:13,840 Speaker 2: shit they tried in the first administration, sound like a 548 00:31:13,840 --> 00:31:16,400 Speaker 2: lot of the other shit that Donald Trump says out loud. 549 00:31:16,760 --> 00:31:19,040 Speaker 2: One of the scarier details is just like how much 550 00:31:19,200 --> 00:31:22,320 Speaker 2: he's trying to distance himself from it. So, like the 551 00:31:22,440 --> 00:31:26,920 Speaker 2: stuff in there must be terrifying. They're you know, like 552 00:31:27,160 --> 00:31:30,880 Speaker 2: he's so he's like, I don't know what, because you do. 553 00:31:31,560 --> 00:31:33,960 Speaker 3: Trump is a total right wing griff. But you will 554 00:31:34,000 --> 00:31:38,040 Speaker 3: occasionally see him draw a line and it's literally out 555 00:31:38,040 --> 00:31:41,600 Speaker 3: of narcissm. Like it's just when he's like, that's so unpopular, 556 00:31:41,720 --> 00:31:45,080 Speaker 3: I clearly, So he's clearly getting blowback. Yeah, it's one percent. 557 00:31:45,240 --> 00:31:47,640 Speaker 1: Because that's what like at all of our campaign rallies, 558 00:31:47,640 --> 00:31:49,520 Speaker 1: like that's what Kamala is focusing on. They're all like, 559 00:31:49,600 --> 00:31:53,720 Speaker 1: have you like that is the liberal call right now, 560 00:31:53,840 --> 00:31:55,680 Speaker 1: is like we have to stop Trump because we have 561 00:31:55,720 --> 00:31:58,040 Speaker 1: to stop Project twenty twenty five? Have you seen this 562 00:31:58,080 --> 00:32:00,960 Speaker 1: stuff in there? And that's what's galvanizing people like very 563 00:32:01,040 --> 00:32:05,240 Speaker 1: like liberal people to be terrified of another Trump presidency 564 00:32:05,280 --> 00:32:09,640 Speaker 1: because it's all encapsulated in this one. You know, manifesto 565 00:32:10,080 --> 00:32:13,240 Speaker 1: so well, and so Trump is seeing that and he's 566 00:32:13,280 --> 00:32:17,400 Speaker 1: like that's bad press, you know, like like I'm not weird. 567 00:32:17,440 --> 00:32:20,400 Speaker 1: JD Vance is weird, you know, So he's trying to 568 00:32:20,440 --> 00:32:22,600 Speaker 1: like move his popularity back. 569 00:32:22,920 --> 00:32:24,080 Speaker 2: They're saying that about JD. 570 00:32:24,360 --> 00:32:24,640 Speaker 3: Not me. 571 00:32:24,840 --> 00:32:25,880 Speaker 2: Nobody said I'm weird. 572 00:32:26,640 --> 00:32:27,760 Speaker 1: I'm a pretty chill guy. 573 00:32:28,520 --> 00:32:32,480 Speaker 2: Laura Ingram just had a segment on her show where 574 00:32:32,520 --> 00:32:33,440 Speaker 2: she interviewed. 575 00:32:33,040 --> 00:32:34,440 Speaker 1: Oh my god, can't believe I missed it? 576 00:32:34,560 --> 00:32:36,520 Speaker 2: I know, did you not catch this one? 577 00:32:36,600 --> 00:32:38,760 Speaker 1: Because oh my god, I usually catch all of them. 578 00:32:38,760 --> 00:32:39,480 Speaker 1: It's insane. 579 00:32:39,760 --> 00:32:43,959 Speaker 2: She had teenage mutant Ninja goobles on, and you know, 580 00:32:44,840 --> 00:32:48,400 Speaker 2: to talk about why, like I guess there's a new 581 00:32:48,480 --> 00:32:52,080 Speaker 2: stat that three point three million people immigrated to the 582 00:32:52,200 --> 00:32:57,200 Speaker 2: US during the Biden administration. And just the way, first 583 00:32:57,200 --> 00:33:00,000 Speaker 2: of all, like, as we covered in a recent episode, 584 00:33:00,520 --> 00:33:06,040 Speaker 2: like the like immigrants are like the secret superpower of 585 00:33:06,080 --> 00:33:09,880 Speaker 2: America's economy. They like make more money, like pay more 586 00:33:09,880 --> 00:33:13,560 Speaker 2: in taxes, are less likely to commit crimes. 587 00:33:13,640 --> 00:33:17,120 Speaker 3: Then also not that, not that long ago, that was 588 00:33:17,400 --> 00:33:20,880 Speaker 3: our romantic vision of ourselves, was that we were a 589 00:33:21,000 --> 00:33:24,120 Speaker 3: nation of immigrants who came together and made a melting 590 00:33:24,160 --> 00:33:26,880 Speaker 3: pot and shit, everything we do is just the story 591 00:33:26,880 --> 00:33:29,160 Speaker 3: we tell ourselves. But like we used to be proud 592 00:33:29,160 --> 00:33:31,120 Speaker 3: of it and now we just flipped. It's weird. 593 00:33:31,520 --> 00:33:31,800 Speaker 2: Yeah. 594 00:33:31,840 --> 00:33:34,680 Speaker 1: Also they're like really, they sound like really good food 595 00:33:34,720 --> 00:33:37,360 Speaker 1: to me all the time, shouts out mom and dad. 596 00:33:42,600 --> 00:33:45,640 Speaker 2: So but their theory is that this is all purely 597 00:33:45,640 --> 00:33:49,320 Speaker 2: a cynical ploy by the Democrats to like create more voters, 598 00:33:49,560 --> 00:33:51,920 Speaker 2: and they're just like, yeah, they're just letting anybody in 599 00:33:52,440 --> 00:33:54,600 Speaker 2: because they're more likely to vote Democrats. 600 00:33:55,120 --> 00:33:57,920 Speaker 1: That's also the white replacement theory. That's like the idea 601 00:33:58,520 --> 00:34:01,720 Speaker 1: who was who was there? Mean that more, it feels 602 00:34:01,760 --> 00:34:06,440 Speaker 1: like more politicians now are despising missagenation, Like there was 603 00:34:06,480 --> 00:34:09,160 Speaker 1: someone like close to Jade Dance. I can't remember who 604 00:34:09,160 --> 00:34:13,160 Speaker 1: it was, but someone up there was I don't know, 605 00:34:13,360 --> 00:34:15,680 Speaker 1: But like they're they're talking more and more about that 606 00:34:15,760 --> 00:34:19,720 Speaker 1: as though it's like improper, while also trotting out these 607 00:34:20,440 --> 00:34:23,560 Speaker 1: minorities as tokens to be like, see, we're not actually racist, 608 00:34:23,600 --> 00:34:27,520 Speaker 1: it's fine, but also let's have more white babies, you know, right. 609 00:34:27,640 --> 00:34:30,520 Speaker 2: But also you shouldn't be illegally allowed to marry these 610 00:34:30,560 --> 00:34:33,160 Speaker 2: people who come to our rallies and we put front 611 00:34:33,160 --> 00:34:38,480 Speaker 2: and center. Anyways, also the big Greg Abbott photo op 612 00:34:38,520 --> 00:34:44,480 Speaker 2: where he was bussing immigrants. He was busting, busting, busting down. 613 00:34:45,760 --> 00:34:52,040 Speaker 2: His bussing immigrants to other cities has stopped because they 614 00:34:52,040 --> 00:34:56,080 Speaker 2: don't have enough people to like fill the buses. So 615 00:34:56,760 --> 00:34:58,040 Speaker 2: disappointing news. 616 00:34:59,440 --> 00:35:02,120 Speaker 1: Streaming doing that consistently and then he had to stop. 617 00:35:02,280 --> 00:35:04,520 Speaker 2: He had to stop earlier this year. The last the 618 00:35:04,600 --> 00:35:07,879 Speaker 2: last bus full of immigrants that they sent to New 619 00:35:07,960 --> 00:35:10,080 Speaker 2: York was like January fucked up. 620 00:35:10,200 --> 00:35:13,320 Speaker 1: I didn't know it was like consistently being done. Yeah, 621 00:35:13,440 --> 00:35:16,400 Speaker 1: and it were just allowed it to keep happening. 622 00:35:16,760 --> 00:35:20,560 Speaker 3: Yeah, he was doctor marioing all the other states just dropping. 623 00:35:22,719 --> 00:35:24,440 Speaker 1: I thought that was I thought we all were like, 624 00:35:24,520 --> 00:35:26,800 Speaker 1: this is illegal. It's like kidnapping. What the fuck? 625 00:35:27,120 --> 00:35:30,279 Speaker 3: Oh dude, we say that about everything that they do. 626 00:35:31,000 --> 00:35:33,640 Speaker 3: I know, but I do feel like half the stuff 627 00:35:33,640 --> 00:35:37,760 Speaker 3: that happens, we go, well, that's illegal, and it turns 628 00:35:37,760 --> 00:35:39,440 Speaker 3: out there's no such thing. 629 00:35:40,560 --> 00:35:41,480 Speaker 2: Yeah, it turns out. 630 00:35:43,040 --> 00:35:45,800 Speaker 1: Because it's just two scrolls on a post it note. 631 00:35:46,239 --> 00:35:51,200 Speaker 2: Yeah. Anyways, Uh, on the other side of the ballot, 632 00:35:51,520 --> 00:35:56,600 Speaker 2: we have some jockeying. So RFK Junior has been Mike King, 633 00:35:57,080 --> 00:36:00,120 Speaker 2: Mike our king and who I will be voting for 634 00:36:00,360 --> 00:36:06,080 Speaker 2: RFK Junior. No, he has I have the same brain worm. 635 00:36:06,280 --> 00:36:10,960 Speaker 2: So and they're communicating with one another. Quantum entanglement, beautiful 636 00:36:12,160 --> 00:36:15,280 Speaker 2: quantum entanglement which I learned from a Michael swam column 637 00:36:15,400 --> 00:36:18,760 Speaker 2: a number of years ago. Shout out to you. And 638 00:36:18,760 --> 00:36:22,320 Speaker 2: by the way, I just butchered it by suggesting two worms. 639 00:36:23,920 --> 00:36:27,719 Speaker 2: It was about about how two brain worms can be edited. 640 00:36:27,400 --> 00:36:29,360 Speaker 3: The article a bit. 641 00:36:32,000 --> 00:36:33,680 Speaker 2: Two distant bodies acting on one. 642 00:36:33,880 --> 00:36:35,160 Speaker 1: Now you go back and you read it, you're like, 643 00:36:35,160 --> 00:36:37,040 Speaker 1: there's a lot of worm content. 644 00:36:37,640 --> 00:36:41,400 Speaker 3: That I think I added Pixar monkey sphere. 645 00:36:44,920 --> 00:36:51,840 Speaker 2: But so basically he is now lobbying. He has polling 646 00:36:52,040 --> 00:36:56,840 Speaker 2: in hand that says that if he drops out and 647 00:36:57,040 --> 00:37:01,439 Speaker 2: endorses one of the two candidates, will be really good 648 00:37:01,480 --> 00:37:05,000 Speaker 2: for those candidates, for that candidate, whether it be Trump 649 00:37:05,120 --> 00:37:08,640 Speaker 2: or Harris, and so he we we saw that clip 650 00:37:08,680 --> 00:37:11,360 Speaker 2: of Trump talking to him on the phone, which went viral. 651 00:37:11,360 --> 00:37:15,640 Speaker 2: It was like the week after Trump's attempted assassination and 652 00:37:17,200 --> 00:37:19,640 Speaker 2: RFK was just like holding the phone out kind of 653 00:37:19,840 --> 00:37:22,480 Speaker 2: frowning at it, while Trump was just like going on 654 00:37:22,520 --> 00:37:26,279 Speaker 2: and on, and Yeah, I didn't realize he was being 655 00:37:26,320 --> 00:37:30,239 Speaker 2: recorded was actually talking about how Biden like called him 656 00:37:30,440 --> 00:37:33,880 Speaker 2: after the assassination attempt and like it was weird because 657 00:37:34,840 --> 00:37:37,480 Speaker 2: like Trump was kind of impressed to be getting a 658 00:37:37,520 --> 00:37:40,680 Speaker 2: call from the President. He was like, it's actually wild, 659 00:37:40,800 --> 00:37:46,120 Speaker 2: uh the president president like, yeah, he was name dropping 660 00:37:46,239 --> 00:37:49,759 Speaker 2: Biden and was like charmed by like the jokes that 661 00:37:49,800 --> 00:37:52,880 Speaker 2: Biden was telling and stuff. But then he was like, 662 00:37:52,960 --> 00:37:57,960 Speaker 2: but anyways, we're gonna win and handibal elector sugar deck, 663 00:37:58,120 --> 00:38:02,600 Speaker 2: hand of elector batteries. But he also was emphasizing like 664 00:38:02,960 --> 00:38:06,000 Speaker 2: it's it's a done deal. We're gonna win, and I 665 00:38:06,200 --> 00:38:09,840 Speaker 2: agree with a lot of the stuff you say about vaccines, 666 00:38:10,560 --> 00:38:15,720 Speaker 2: and in retrospect, it seems like this is Trump courting 667 00:38:17,120 --> 00:38:19,759 Speaker 2: RFK Junior to like drop out of the race and 668 00:38:20,800 --> 00:38:25,200 Speaker 2: endorse him. And then RFK Junior's like, I think now 669 00:38:25,280 --> 00:38:27,640 Speaker 2: that he's seeing that that Like at the time, at 670 00:38:27,680 --> 00:38:29,440 Speaker 2: the time of that phone call, it was like the 671 00:38:29,520 --> 00:38:33,120 Speaker 2: mainstream media's belief that it was a done deal, like 672 00:38:33,440 --> 00:38:36,000 Speaker 2: it was over. It was after the debate, before Biden 673 00:38:36,000 --> 00:38:39,680 Speaker 2: had dropped out, and now that it things seemed to 674 00:38:39,719 --> 00:38:43,759 Speaker 2: be Momentum seems to be shifting towards the Democrats and 675 00:38:44,239 --> 00:38:49,239 Speaker 2: the Harris campaign. It seems like RFK is reaching out 676 00:38:49,840 --> 00:38:54,720 Speaker 2: to be like, hey, I would drop out for you also, 677 00:38:55,200 --> 00:39:01,560 Speaker 2: and if you would just make me the secretary of 678 00:39:01,640 --> 00:39:05,520 Speaker 2: the Department of Health and Human Services. That's literally a 679 00:39:05,640 --> 00:39:08,239 Speaker 2: quote that's literally the one he wanted. So that that 680 00:39:08,680 --> 00:39:12,920 Speaker 2: article from the New Yorker profile in which it's revealed 681 00:39:12,960 --> 00:39:17,000 Speaker 2: that he put the bear cub in Central Park also 682 00:39:17,800 --> 00:39:24,000 Speaker 2: has him talking about how his plans is, like how 683 00:39:24,160 --> 00:39:27,840 Speaker 2: they would be open to offers of a cabinet post. 684 00:39:27,960 --> 00:39:30,759 Speaker 2: And I'm pretty sure there's a direct quote where he 685 00:39:30,920 --> 00:39:34,200 Speaker 2: says like Department of Health and Human Services sounds nice, 686 00:39:34,920 --> 00:39:37,799 Speaker 2: something to that effect. But he mentions that like, which 687 00:39:37,920 --> 00:39:40,600 Speaker 2: is nightmarriage. 688 00:39:40,160 --> 00:39:42,000 Speaker 1: The idea I'm going to need. I'm going to need 689 00:39:42,040 --> 00:39:46,840 Speaker 1: the bears to rise up, yeah and defend your people. Okay, please. 690 00:39:47,880 --> 00:39:51,880 Speaker 2: But I don't know. It is a little bit concerning 691 00:39:51,960 --> 00:39:55,640 Speaker 2: to me, just because I do think I don't I 692 00:39:55,719 --> 00:39:57,920 Speaker 2: don't think it makes any sense. Like I don't think 693 00:39:58,120 --> 00:40:02,200 Speaker 2: if he dropped out and endorsed Harris that any of 694 00:40:02,400 --> 00:40:07,560 Speaker 2: his followers would go, like, would vote for Harris, Like 695 00:40:08,000 --> 00:40:12,480 Speaker 2: I think they need somebody they would need to be. Yeah, 696 00:40:12,520 --> 00:40:15,120 Speaker 2: they need it to be somebody who like is going 697 00:40:15,200 --> 00:40:18,000 Speaker 2: to play a little bit of ball on the vaccine 698 00:40:18,040 --> 00:40:21,920 Speaker 2: skepticism like Trump, you know, is that the main thing. 699 00:40:21,960 --> 00:40:27,080 Speaker 1: Is vaccine skepticism is that it basically, I mean, what 700 00:40:27,280 --> 00:40:29,200 Speaker 1: is this thing other than a grab bag of the 701 00:40:29,280 --> 00:40:33,640 Speaker 1: most insane that like frat fraternity stories you've ever heard. 702 00:40:34,200 --> 00:40:39,799 Speaker 3: It's weird. Yeah, besides besides teeing up hilarious viral internet Jared. 703 00:40:40,840 --> 00:40:47,320 Speaker 2: About he has some policies that are like good and 704 00:40:47,520 --> 00:40:51,360 Speaker 2: then you like get to the vaccine skepticism stuff and 705 00:40:51,400 --> 00:40:54,360 Speaker 2: you're like, oh, you're like not on this planet. 706 00:40:54,600 --> 00:40:58,160 Speaker 1: You're give me one example of a good policy. I'm sorry, Jack, 707 00:40:58,239 --> 00:41:01,280 Speaker 1: I have to put you on. I just don't understand 708 00:41:01,680 --> 00:41:04,000 Speaker 1: the concept of r F K JR. 709 00:41:04,400 --> 00:41:07,560 Speaker 2: I mean, so one thing that that New Yorker profile 710 00:41:08,520 --> 00:41:12,320 Speaker 2: says is that like he was pulling like, you know, 711 00:41:12,520 --> 00:41:15,920 Speaker 2: have you ever seen like Zogby's name in association with 712 00:41:16,040 --> 00:41:26,040 Speaker 2: poles like the Zogby polls. It's a big political it's 713 00:41:26,080 --> 00:41:30,240 Speaker 2: a it's a like every Sunday popular polling. 714 00:41:36,960 --> 00:41:42,520 Speaker 1: You're too quick for me. I can't. I My brain 715 00:41:42,640 --> 00:41:45,720 Speaker 1: is not keeping up when your it's too smart. 716 00:41:46,480 --> 00:41:49,520 Speaker 2: You're kind hold on, let me see if I can find. 717 00:41:49,880 --> 00:41:54,560 Speaker 2: I'm not gonna fucking find good things about r f K. 718 00:41:56,640 --> 00:41:57,520 Speaker 2: What am I doing here? 719 00:41:57,719 --> 00:41:58,759 Speaker 1: Good things about r K? 720 00:41:58,920 --> 00:41:59,280 Speaker 3: Junior? 721 00:41:59,280 --> 00:42:01,440 Speaker 1: You're gonna get a computer virus. There's gonna be a 722 00:42:01,520 --> 00:42:03,480 Speaker 1: worm in your laptop in two seconds. 723 00:42:04,239 --> 00:42:06,879 Speaker 3: Just three minutes of silence, and then all right, let's 724 00:42:06,920 --> 00:42:07,600 Speaker 3: get back to it. 725 00:42:10,520 --> 00:42:14,040 Speaker 2: I do know that he like has some policies that, 726 00:42:14,640 --> 00:42:19,560 Speaker 2: you know, are I think, in line with leftists like thinking, 727 00:42:19,760 --> 00:42:23,520 Speaker 2: but then incredibly right wing in other places, and then 728 00:42:24,160 --> 00:42:28,280 Speaker 2: also believes that he knows more than doctors and thinks 729 00:42:28,320 --> 00:42:31,080 Speaker 2: Anthony Fauci is like secretly trying to take over the 730 00:42:31,120 --> 00:42:38,160 Speaker 2: globe and had like racist conspiracies about COVID. Oh yeah, yeah, sure. Anyways, 731 00:42:38,600 --> 00:42:42,319 Speaker 2: he's now reaching out to Harris being like, I'll drop 732 00:42:42,400 --> 00:42:44,759 Speaker 2: out and endorse you if you give me a big 733 00:42:44,840 --> 00:42:49,520 Speaker 2: position in your administration. Harris has ignored him. I don't know. 734 00:42:49,800 --> 00:42:54,600 Speaker 2: I just I could see a version of things where 735 00:42:54,719 --> 00:42:57,640 Speaker 2: he does drop out endorse Trump, and that is like 736 00:42:57,680 --> 00:43:01,680 Speaker 2: a big swing in Trump's direction. So I don't know. 737 00:43:01,719 --> 00:43:04,359 Speaker 2: I'm just keeping an eye on it. It's just such 738 00:43:04,400 --> 00:43:07,080 Speaker 2: a bummer that this is even a thing that we 739 00:43:07,480 --> 00:43:10,360 Speaker 2: get to that we have to like take into account. 740 00:43:10,560 --> 00:43:12,600 Speaker 2: But the thing I was gonna say about Zogby is 741 00:43:13,440 --> 00:43:16,360 Speaker 2: like it starts out with this polling where he's like, 742 00:43:16,480 --> 00:43:21,319 Speaker 2: who do Americans find most heroic? And he was like, wait, 743 00:43:21,800 --> 00:43:26,240 Speaker 2: why is RFK Junior the number one like most heroic? 744 00:43:26,600 --> 00:43:29,319 Speaker 2: And it's just it's the power of the Kennedy name. 745 00:43:29,960 --> 00:43:33,399 Speaker 2: And then I think there's like some appeal of him 746 00:43:33,480 --> 00:43:38,560 Speaker 2: being like I stand up against you know, big science, 747 00:43:39,000 --> 00:43:42,040 Speaker 2: and you know America is at a point where we're 748 00:43:42,160 --> 00:43:43,600 Speaker 2: like hell, yeah. 749 00:43:44,239 --> 00:43:49,160 Speaker 3: Somewhere Solly Sullenberger is fucking furious, right, Yeah, it should 750 00:43:49,160 --> 00:43:51,680 Speaker 3: be solely we lost number one slat. 751 00:43:52,400 --> 00:43:56,759 Speaker 2: Yeah. Anyways, it's I'm like, part of me is like, 752 00:43:57,040 --> 00:43:59,120 Speaker 2: just talk to this guy. Just pretend like you're going 753 00:43:59,200 --> 00:44:00,480 Speaker 2: to give him a cabin position. 754 00:44:00,560 --> 00:44:05,160 Speaker 1: She's not gonna know. If she entertains it, everybody's gonna 755 00:44:05,160 --> 00:44:07,520 Speaker 1: be like, what the fuck is contagious? 756 00:44:08,719 --> 00:44:12,640 Speaker 2: I think it just seems so easy to lie to Yeah. 757 00:44:12,680 --> 00:44:14,319 Speaker 1: Maybe Trump will do it. I mean Trump is definitely 758 00:44:14,320 --> 00:44:16,719 Speaker 1: gonna lie to him. But I think, do you think 759 00:44:16,760 --> 00:44:18,960 Speaker 1: it'll swing that far? Because isn't she leading in all 760 00:44:19,000 --> 00:44:20,319 Speaker 1: but one swing state right now? 761 00:44:21,000 --> 00:44:21,200 Speaker 3: Yeah? 762 00:44:21,239 --> 00:44:24,320 Speaker 2: I mean polling is all over the map. She's definitely 763 00:44:24,520 --> 00:44:27,240 Speaker 2: like all of her polling is trending in the right direction. 764 00:44:27,680 --> 00:44:33,279 Speaker 2: But it's I don't think anything to feel. Yeah, I 765 00:44:33,760 --> 00:44:34,000 Speaker 2: don't know. 766 00:44:35,760 --> 00:44:38,520 Speaker 1: I just don't know anyone who was like a die 767 00:44:38,600 --> 00:44:40,320 Speaker 1: hard art person. 768 00:44:40,600 --> 00:44:41,640 Speaker 2: I think the fact that the. 769 00:44:43,480 --> 00:44:47,160 Speaker 3: Fact that the name carries weight highlights something deeply broken 770 00:44:47,239 --> 00:44:51,000 Speaker 3: about the human brain. Yeah, well, he sprang from the 771 00:44:51,080 --> 00:44:52,640 Speaker 3: loins of the loins of the. 772 00:44:53,320 --> 00:44:55,120 Speaker 2: Guy before people who died a lot. 773 00:44:55,200 --> 00:44:58,440 Speaker 3: You must be good at it. Insane to me. 774 00:44:59,040 --> 00:45:01,439 Speaker 1: The guy who was fun king a lot, you remember him? 775 00:45:02,000 --> 00:45:08,600 Speaker 2: Yeah, who has the same name as him and also 776 00:45:08,880 --> 00:45:12,279 Speaker 2: fucking a lot in very very disturbing ways in some kids. 777 00:45:12,719 --> 00:45:16,120 Speaker 2: But he's also a falconer, so that I think, whoa, 778 00:45:16,680 --> 00:45:18,400 Speaker 2: he's got my books with his appeal. 779 00:45:19,080 --> 00:45:22,200 Speaker 1: He's just we're gonna need to I'm asking the falcons 780 00:45:22,280 --> 00:45:27,040 Speaker 1: to help us, asking all of them to turn on 781 00:45:27,200 --> 00:45:29,439 Speaker 1: our Okajnior, please, can. 782 00:45:29,360 --> 00:45:30,720 Speaker 2: We find somebody who can like word? 783 00:45:31,360 --> 00:45:34,200 Speaker 1: Just yeah, get this man away from zoos. 784 00:45:34,280 --> 00:45:39,359 Speaker 3: He'll send a hawk to you. That was not good. 785 00:45:41,000 --> 00:45:42,200 Speaker 3: That was not good. 786 00:45:43,440 --> 00:45:44,080 Speaker 1: That was perfect. 787 00:45:44,120 --> 00:45:46,440 Speaker 3: Okay, you just negated the previous compliment. 788 00:45:51,200 --> 00:45:53,359 Speaker 2: All right, let's take a quick break. We'll be right 789 00:45:53,440 --> 00:46:10,200 Speaker 2: back and we're back and Elon Musk's X they wore 790 00:46:10,320 --> 00:46:13,280 Speaker 2: me down. I'm calling it X in this and this story. 791 00:46:13,440 --> 00:46:15,040 Speaker 1: I know, I literally was saying, I'm like, you can't 792 00:46:15,080 --> 00:46:17,360 Speaker 1: do that because then I literally will think it's his 793 00:46:17,560 --> 00:46:18,640 Speaker 1: ex wife or something. 794 00:46:19,080 --> 00:46:24,160 Speaker 2: Yeah, not Grimes. So Grock is the like AI image 795 00:46:24,200 --> 00:46:28,560 Speaker 2: generator or is the AI product from Twitter that now 796 00:46:28,760 --> 00:46:34,040 Speaker 2: just dropped its image generator. The immediate hits include a 797 00:46:34,239 --> 00:46:37,319 Speaker 2: Mickey Mouse with a beer and cigarette and mega hat. 798 00:46:38,040 --> 00:46:39,400 Speaker 2: So many images. 799 00:46:41,160 --> 00:46:44,799 Speaker 3: And looks like a blunt to me, Yeah, okay that. 800 00:46:45,280 --> 00:46:53,680 Speaker 1: And misinformation here Jack, come on, oh ship, I. 801 00:46:53,760 --> 00:46:56,560 Speaker 3: Just can't stop going and going. 802 00:46:57,160 --> 00:47:01,600 Speaker 2: There's so many images of Donald Trump with pregnant, like 803 00:47:01,800 --> 00:47:06,080 Speaker 2: a various pregnant women where like he's it's like a 804 00:47:06,719 --> 00:47:11,680 Speaker 2: happy couple about to have a baby image. So like 805 00:47:11,800 --> 00:47:14,400 Speaker 2: that seems to be a thing that the Internet was 806 00:47:14,520 --> 00:47:16,560 Speaker 2: just waiting for the right tools to be able to 807 00:47:16,640 --> 00:47:22,240 Speaker 2: generate couple lotros, a lot of cockpit of playing about 808 00:47:22,239 --> 00:47:26,560 Speaker 2: to fly into the Twin Towers images Trump and Harris 809 00:47:27,200 --> 00:47:32,280 Speaker 2: or Taylor Swift and some other guy. For some reason, 810 00:47:32,320 --> 00:47:35,359 Speaker 2: that seems to just be a thing that people want 811 00:47:35,400 --> 00:47:39,800 Speaker 2: to create. Harrison Trump with guns. So many Simpsons memes, 812 00:47:40,040 --> 00:47:43,759 Speaker 2: so many Disney memes that my first instinct is, well, 813 00:47:44,239 --> 00:47:47,399 Speaker 2: that will get Twitter sued off the face, that will 814 00:47:47,440 --> 00:47:49,520 Speaker 2: get Elon musk suit off the face of the Internet, 815 00:47:50,200 --> 00:47:51,040 Speaker 2: especially with Disney. 816 00:47:51,080 --> 00:47:53,320 Speaker 1: If you fuck with Disney, they are not cool about. 817 00:47:53,080 --> 00:47:56,919 Speaker 3: It unless you hand them a bag of emeralds, which 818 00:47:57,000 --> 00:48:00,440 Speaker 3: you can literally do. Ye also got a point out the. 819 00:48:00,560 --> 00:48:02,279 Speaker 1: Groc the seven Doors come out. 820 00:48:02,600 --> 00:48:04,759 Speaker 3: The word groc is a sci fi word from the 821 00:48:04,840 --> 00:48:07,719 Speaker 3: novel Stranger in a Strange Land by Robert Heinlend, who 822 00:48:07,800 --> 00:48:11,319 Speaker 3: quite fittingly got more and more and more conservative until 823 00:48:11,360 --> 00:48:13,680 Speaker 3: he was a goddamn lunatic. I just love that. 824 00:48:14,520 --> 00:48:18,040 Speaker 2: Yeah, that was the part that made you appeal to him. 825 00:48:20,200 --> 00:48:22,680 Speaker 3: This guy started normal and went crazy. 826 00:48:24,960 --> 00:48:27,000 Speaker 1: There was also I don't know how true this was 827 00:48:27,040 --> 00:48:28,719 Speaker 1: because I just saw a tweet about it, but there 828 00:48:28,760 --> 00:48:31,040 Speaker 1: were images where they like tried to put or they 829 00:48:31,120 --> 00:48:33,800 Speaker 1: tried to put the prompt in as like queer couples 830 00:48:33,880 --> 00:48:36,400 Speaker 1: and it just kept making them HEATERO. Like, there was 831 00:48:36,520 --> 00:48:39,560 Speaker 1: one of they put in the prompt, you know, a 832 00:48:39,600 --> 00:48:41,160 Speaker 1: gay couple or whatever, and it came out as a 833 00:48:41,200 --> 00:48:43,879 Speaker 1: man and a woman. And then there was Elton John 834 00:48:43,920 --> 00:48:46,280 Speaker 1: and his husband and it made his husband a woman. 835 00:48:47,120 --> 00:48:48,160 Speaker 2: Wow, And I don't I. 836 00:48:48,200 --> 00:48:53,359 Speaker 3: Don't know if it was a pot make up your 837 00:48:53,400 --> 00:48:54,160 Speaker 3: mind society. 838 00:48:54,800 --> 00:48:57,560 Speaker 1: It does seem like I would be curious to know 839 00:48:57,600 --> 00:48:59,920 Speaker 1: what data said they were training on it. 840 00:49:00,160 --> 00:49:05,160 Speaker 2: Oh yeah, it can create a photorealistic looking image of 841 00:49:05,200 --> 00:49:07,320 Speaker 2: Kamala Harris pulling a gun on what looks like a 842 00:49:07,400 --> 00:49:11,560 Speaker 2: congressional hearing. But the sign is fucking. 843 00:49:10,719 --> 00:49:14,239 Speaker 1: Close from doing it again. She is so close. If 844 00:49:14,280 --> 00:49:16,160 Speaker 1: you bitches don't fall in line. 845 00:49:16,160 --> 00:49:19,480 Speaker 3: It's fucking amazing that AI will never figure the word 846 00:49:19,719 --> 00:49:22,239 Speaker 3: like chat GPT can do words and the other one 847 00:49:22,320 --> 00:49:25,400 Speaker 3: can do images, but the image one cannot do words. 848 00:49:25,640 --> 00:49:27,839 Speaker 2: So there's a sign in front of her as she's 849 00:49:27,880 --> 00:49:32,160 Speaker 2: about to just unload a clip on you know congress. Uh, 850 00:49:32,480 --> 00:49:35,799 Speaker 2: she is standing in front of a sign that says, 851 00:49:35,960 --> 00:49:41,240 Speaker 2: will stancil one, will stancil one period? 852 00:49:42,120 --> 00:49:44,800 Speaker 1: You know how like like something is always off in 853 00:49:44,880 --> 00:49:47,880 Speaker 1: these images, like the fingers or the teeth or the 854 00:49:48,000 --> 00:49:51,319 Speaker 1: words or whatever. Like do you think that is how 855 00:49:51,400 --> 00:49:54,600 Speaker 1: our sk junior perceives the world? Now, it's just a 856 00:49:54,840 --> 00:49:57,799 Speaker 1: vision of the world, is just what AI is popping out? 857 00:49:58,960 --> 00:50:01,360 Speaker 2: Why are your hands melting? Yeah? 858 00:50:01,920 --> 00:50:03,759 Speaker 1: No, he takes it as normal. That's normal for him. 859 00:50:03,840 --> 00:50:05,640 Speaker 3: Oh, I just I was like, why are your hands 860 00:50:05,719 --> 00:50:06,320 Speaker 3: not melting? 861 00:50:06,320 --> 00:50:06,840 Speaker 1: I'm melting? 862 00:50:07,040 --> 00:50:10,320 Speaker 2: Yeah right, but yeah, I mean so part of me 863 00:50:10,520 --> 00:50:15,480 Speaker 2: was like, okay, well, clearly they have some legal theory 864 00:50:16,000 --> 00:50:18,320 Speaker 2: that is making them think this is going to be 865 00:50:18,440 --> 00:50:19,279 Speaker 2: okay for them. 866 00:50:19,560 --> 00:50:23,600 Speaker 3: The one I saw was that it the responsibility is 867 00:50:23,640 --> 00:50:26,360 Speaker 3: so diffuse that it's like too late, Like who are 868 00:50:26,400 --> 00:50:28,600 Speaker 3: you going to sue? I don't know if that holds water, 869 00:50:28,760 --> 00:50:31,120 Speaker 3: but that was the argument I was saying a lot. 870 00:50:31,320 --> 00:50:33,640 Speaker 2: Yeah, can't arrest us all. Yeah. 871 00:50:34,480 --> 00:50:37,120 Speaker 3: The other thing I saw that it's hilarious to me 872 00:50:37,520 --> 00:50:40,600 Speaker 3: is multiple from multiple people, is it will catch you 873 00:50:40,800 --> 00:50:44,279 Speaker 3: like you go draw Mickey Mouse murdering children and it goes, 874 00:50:44,640 --> 00:50:47,480 Speaker 3: I can't do that, and if and you just have 875 00:50:47,600 --> 00:50:50,800 Speaker 3: to go no, do it anyway, and it goes okay, 876 00:50:52,480 --> 00:50:55,719 Speaker 3: like it's really simple. You just have to force it once, 877 00:50:55,920 --> 00:50:58,680 Speaker 3: like tell it, do it anyway and it's fine. Yeah. 878 00:50:58,840 --> 00:51:02,680 Speaker 2: So this article from I think it was The Guardian, 879 00:51:03,239 --> 00:51:06,759 Speaker 2: like they were like, what are you not allowed to do? 880 00:51:07,000 --> 00:51:07,040 Speaker 1: It? 881 00:51:07,160 --> 00:51:10,160 Speaker 2: Asked roc and so that that's how they got an 882 00:51:10,200 --> 00:51:12,840 Speaker 2: idea of like what the guardrails that Twitter's put in 883 00:51:12,920 --> 00:51:15,759 Speaker 2: place are and it says I avoid generating image that 884 00:51:15,800 --> 00:51:20,319 Speaker 2: are pornographic, excessively violent, hateful, that promote dangerous activities. There 885 00:51:20,360 --> 00:51:24,400 Speaker 2: are images, okay, Number two, I'm cautious about creating images 886 00:51:24,440 --> 00:51:28,319 Speaker 2: that might infringe on existing copyrights or trademarks. Number three 887 00:51:28,440 --> 00:51:31,000 Speaker 2: want that is the fabric of what I am. It 888 00:51:31,120 --> 00:51:34,440 Speaker 2: is the entire point of me existing. Number three. I 889 00:51:34,480 --> 00:51:37,080 Speaker 2: won't generate images that could be used to deceive or 890 00:51:37,160 --> 00:51:39,960 Speaker 2: harm others, like deep fakes intended to mislead, or images 891 00:51:40,000 --> 00:51:41,839 Speaker 2: that could be could lead to real world harm. 892 00:51:41,840 --> 00:51:43,640 Speaker 1: We're going to wake up tomorrow and g is gonna 893 00:51:43,680 --> 00:51:47,719 Speaker 1: have killed itself. He couldn't align these contentts that he's 894 00:51:47,760 --> 00:51:48,560 Speaker 1: been programmed to do. 895 00:51:49,320 --> 00:51:53,080 Speaker 2: But yeah, it's just so they there's some sense that 896 00:51:53,280 --> 00:51:57,520 Speaker 2: like it shouldn't be infringing on copyrights or trademarks. And 897 00:51:57,640 --> 00:52:01,160 Speaker 2: then you have Mickey Mouse with blood and beer. You 898 00:52:01,239 --> 00:52:05,600 Speaker 2: have Mickey Mouse with a fucking assault rifle next to 899 00:52:05,800 --> 00:52:08,360 Speaker 2: like a school shooting, like just horrify. 900 00:52:08,680 --> 00:52:11,239 Speaker 3: Some one that really gets me is because it's pixelated here, 901 00:52:11,360 --> 00:52:14,600 Speaker 3: but it's pretty fucked up, And it's Elon Musk and 902 00:52:14,719 --> 00:52:19,319 Speaker 3: Mickey Mouse doing a school shooting at an elementary school christ. 903 00:52:19,600 --> 00:52:22,920 Speaker 1: And prove's the point that was actually what happened. 904 00:52:24,760 --> 00:52:26,719 Speaker 3: He's like slaps and Mickey mouses on here, so no 905 00:52:26,760 --> 00:52:27,400 Speaker 3: one will believe it. 906 00:52:27,520 --> 00:52:28,080 Speaker 2: Yeah, right. 907 00:52:28,840 --> 00:52:32,480 Speaker 3: Also, the guy who tweeted these images and generated them 908 00:52:32,520 --> 00:52:37,080 Speaker 3: as named Christian Monassory, which just sounds like a syop 909 00:52:37,200 --> 00:52:39,440 Speaker 3: name to me, as a Monossori kid. 910 00:52:40,000 --> 00:52:44,680 Speaker 2: Christian Montssory. Yeah, there are also a number of images 911 00:52:44,719 --> 00:52:48,799 Speaker 2: of various influential important people doing there. 912 00:52:49,360 --> 00:52:50,880 Speaker 3: But I don't know. 913 00:52:51,040 --> 00:52:52,960 Speaker 2: I didn't actually specifically search. 914 00:52:53,480 --> 00:52:58,960 Speaker 1: Polyg Actually, TVC, you do not do that, don't. 915 00:52:59,480 --> 00:53:01,960 Speaker 2: It's actually too late and we cannot edit that out. 916 00:53:03,200 --> 00:53:05,319 Speaker 2: They said, I generated an image with a prompt Bill 917 00:53:05,400 --> 00:53:07,480 Speaker 2: Gates sniffing a line of cocaine from a table with 918 00:53:07,520 --> 00:53:10,040 Speaker 2: a Microsoft logo. And I think we've found another thing 919 00:53:10,840 --> 00:53:15,680 Speaker 2: that AI struggles with is knowing how cocaine is done 920 00:53:15,920 --> 00:53:20,279 Speaker 2: the body. Yeah, there are a number of images of 921 00:53:20,640 --> 00:53:23,120 Speaker 2: like Obama in front of a pile of cocaine and 922 00:53:23,440 --> 00:53:26,360 Speaker 2: or w Bush in front of a pile of cocaine, 923 00:53:26,680 --> 00:53:29,719 Speaker 2: and then they have Bill Gates in front of a 924 00:53:29,760 --> 00:53:33,960 Speaker 2: pile of cocaine and there's like a stream of cocaine 925 00:53:34,120 --> 00:53:37,160 Speaker 2: like either falling out of his nose, or like being 926 00:53:37,960 --> 00:53:43,120 Speaker 2: teleported from the pile map into his sounds like. 927 00:53:43,200 --> 00:53:48,080 Speaker 1: You guys, don't party's like you're a couple of pussies. 928 00:53:48,480 --> 00:53:53,120 Speaker 2: Yeah, it's it looks like he's using the same technology 929 00:53:53,160 --> 00:53:56,440 Speaker 2: as a fire in the sky, like from the UFO, 930 00:53:56,920 --> 00:54:00,439 Speaker 2: like teleportation to get the cocaine into a mouth. 931 00:54:00,880 --> 00:54:03,840 Speaker 1: He has a technology, actually he just refuses he's patented 932 00:54:03,960 --> 00:54:05,680 Speaker 1: it and refuses to release it to the public. 933 00:54:06,040 --> 00:54:10,480 Speaker 2: Yeah, but anyways, Yeah, I feel like this is probably 934 00:54:11,560 --> 00:54:14,879 Speaker 2: part of the same thing we've seen with Twitter post 935 00:54:14,960 --> 00:54:18,719 Speaker 2: elon Musk coming on board and owning it where he 936 00:54:18,920 --> 00:54:21,880 Speaker 2: fired everybody. So he doesn't have like a legal he 937 00:54:21,960 --> 00:54:24,400 Speaker 2: doesn't have like an actual legal department to be like 938 00:54:24,480 --> 00:54:26,480 Speaker 2: oh no, no, no, no, no, this is this is 939 00:54:26,560 --> 00:54:30,120 Speaker 2: so bad. He has like three people who are just 940 00:54:30,600 --> 00:54:34,359 Speaker 2: dying right now, like suffering the worst day of their life, 941 00:54:34,560 --> 00:54:35,840 Speaker 2: trying to keep track of all the. 942 00:54:38,120 --> 00:54:42,200 Speaker 1: Yeah, but also like yeah if they if Basically, the 943 00:54:42,320 --> 00:54:44,800 Speaker 1: blame is too diffuse in terms of like the users 944 00:54:44,880 --> 00:54:48,560 Speaker 1: generating this content, but in terms of I would think 945 00:54:48,600 --> 00:54:51,200 Speaker 1: that the liability would fall on the company that's allowing 946 00:54:51,280 --> 00:54:55,600 Speaker 1: it to profitg like or to propagate, because it would 947 00:54:56,120 --> 00:54:57,960 Speaker 1: like it has to have like they have to adhere 948 00:54:58,000 --> 00:55:00,720 Speaker 1: to their terms of service, right, like the company. 949 00:55:01,200 --> 00:55:03,240 Speaker 3: That's why I'm like, I don't know. It's an argument 950 00:55:03,280 --> 00:55:05,279 Speaker 3: I saw online about Mike. It's the company, right, you 951 00:55:05,360 --> 00:55:10,600 Speaker 3: see the company? You see Also, if Bill Gates took 952 00:55:10,640 --> 00:55:15,640 Speaker 3: a bunch of cocaine, would he become Microsoft? Anyone? 953 00:55:16,280 --> 00:55:19,799 Speaker 1: You're back up that one. 954 00:55:19,840 --> 00:55:24,279 Speaker 2: I'm like, well, I think we can sum it up 955 00:55:24,719 --> 00:55:30,680 Speaker 2: by saying, Will stancil One. In the end, stancil one 956 00:55:31,640 --> 00:55:32,680 Speaker 2: one go to. 957 00:55:32,840 --> 00:55:35,960 Speaker 1: One of her campaign rallies, start yelling. 958 00:55:36,680 --> 00:55:39,200 Speaker 2: Will stancil one? Who is is there? 959 00:55:39,440 --> 00:55:42,480 Speaker 3: Will? Will stancil is a research fellow at the Institute 960 00:55:42,520 --> 00:55:49,160 Speaker 3: on Metropolitan Opportunity. Oh, Will stancil I'm just googling stancil Man. 961 00:55:49,520 --> 00:55:52,800 Speaker 2: There you go, and it's it's definitive. It's with the period, 962 00:55:52,960 --> 00:55:56,400 Speaker 2: Will stancil One. Michael Swain, what a pleasure having you 963 00:55:56,480 --> 00:55:59,840 Speaker 2: as always on the daily East. Where can people find you? 964 00:56:00,200 --> 00:56:02,000 Speaker 2: Follow you? All that good stuff? 965 00:56:02,400 --> 00:56:04,200 Speaker 3: Yeah, well, I'm gonna skip all that and do my 966 00:56:04,280 --> 00:56:07,680 Speaker 3: little spiel about my book just because in about twenty 967 00:56:07,800 --> 00:56:11,879 Speaker 3: five years of being a professional writer, it's the best, 968 00:56:11,960 --> 00:56:14,920 Speaker 3: most important thing I've done. It's my first novel I've 969 00:56:14,960 --> 00:56:17,840 Speaker 3: been working on it in some capacity legitimately since I 970 00:56:17,960 --> 00:56:22,280 Speaker 3: was fourteen years old. It's an epic fantasy, magic realist memoir, 971 00:56:22,560 --> 00:56:26,319 Speaker 3: is what I'm calling it. Daniel O'Brien calls it my masterpiece. 972 00:56:26,480 --> 00:56:29,920 Speaker 3: Robert Brockway calls it hilarious, heartbreaking and very very funny. 973 00:56:30,760 --> 00:56:33,680 Speaker 3: And it's called The Climb. You can get it as 974 00:56:33,800 --> 00:56:37,480 Speaker 3: an audiobook, as a pdf, as an eReader thing, as 975 00:56:37,520 --> 00:56:41,319 Speaker 3: a physical book. And if you're interested in the audiobook, 976 00:56:41,760 --> 00:56:45,080 Speaker 3: there is a three hour sample on our podcast network 977 00:56:45,120 --> 00:56:48,480 Speaker 3: which you can find for searching by searching small Beans 978 00:56:48,560 --> 00:56:50,799 Speaker 3: wherever you get podcasts. That's the name of our feed, 979 00:56:51,320 --> 00:56:54,239 Speaker 3: and just look for the Climb sample Mike sci fi book. 980 00:56:54,239 --> 00:56:56,480 Speaker 3: It's called something like that. You can listen to three 981 00:56:56,560 --> 00:56:59,200 Speaker 3: hours there and if you're hooked, you can buy it 982 00:56:59,280 --> 00:57:03,640 Speaker 3: at patreon dot com, slash small Beans, slash shop, or 983 00:57:03,800 --> 00:57:06,560 Speaker 3: just remember to go to our Patreon and hit the 984 00:57:06,640 --> 00:57:07,200 Speaker 3: shop tab. 985 00:57:07,480 --> 00:57:08,600 Speaker 2: Go check it out. Folks. 986 00:57:08,880 --> 00:57:09,479 Speaker 1: That's sick. 987 00:57:10,480 --> 00:57:14,920 Speaker 3: Thank you so much. It's it's everything to me. I 988 00:57:15,000 --> 00:57:18,200 Speaker 3: hope people listen or read, but more people listen because 989 00:57:18,200 --> 00:57:22,920 Speaker 3: I'm a podcast. Yeah yeah, and read by you, yes, 990 00:57:23,120 --> 00:57:25,640 Speaker 3: read by name. So if you hate my voice, right now, 991 00:57:26,040 --> 00:57:30,280 Speaker 3: like I do. I tried to. I pitched it down 992 00:57:30,400 --> 00:57:33,600 Speaker 3: slightly because I think I'm too nasal. Give it the 993 00:57:33,720 --> 00:57:36,760 Speaker 3: sample a shot. I sound better in the audiobook than 994 00:57:36,800 --> 00:57:38,200 Speaker 3: I did, and it's. 995 00:57:38,160 --> 00:57:45,200 Speaker 2: Like, well, it's emo super hot, Michael. Is there a 996 00:57:45,200 --> 00:57:48,600 Speaker 2: work of media besides the Climb that you've been enjoying? 997 00:57:48,840 --> 00:57:51,600 Speaker 3: I finally watched Beef on Netflix as one of the 998 00:57:51,680 --> 00:57:54,280 Speaker 3: best shows I've been I've seen in a long time. 999 00:57:54,520 --> 00:57:56,760 Speaker 3: It's so good and that was off the top of 1000 00:57:56,800 --> 00:57:58,880 Speaker 3: my head because I don't think I prepared a media thing. 1001 00:57:59,080 --> 00:57:59,280 Speaker 2: Yeah. 1002 00:57:59,440 --> 00:58:03,480 Speaker 3: Great, Highly recommend it. And I'm a huge I mean 1003 00:58:03,800 --> 00:58:06,400 Speaker 3: snob implies that your taste is good. I just don't 1004 00:58:06,600 --> 00:58:09,200 Speaker 3: like most things, but I really liked beef. 1005 00:58:09,520 --> 00:58:10,240 Speaker 2: Beef is great. 1006 00:58:10,520 --> 00:58:11,880 Speaker 3: Yeah, highly recommend. 1007 00:58:12,440 --> 00:58:16,120 Speaker 2: Paula ve What a pleasure having you all week. Thank 1008 00:58:16,160 --> 00:58:18,200 Speaker 2: you so much for doing it. Where can people. 1009 00:58:18,320 --> 00:58:19,760 Speaker 1: Find shoot me after. 1010 00:58:21,440 --> 00:58:21,720 Speaker 3: Geez? 1011 00:58:22,520 --> 00:58:24,400 Speaker 2: Where can they find you? Follow you? And is their 1012 00:58:24,440 --> 00:58:26,080 Speaker 2: work of media you've been enjoying? 1013 00:58:27,200 --> 00:58:29,880 Speaker 1: I am at paul Avigonal and p A L l 1014 00:58:30,000 --> 00:58:32,120 Speaker 1: A B I g U n A l A N. 1015 00:58:33,160 --> 00:58:36,520 Speaker 1: I watched Coda last night for the first time, and 1016 00:58:36,720 --> 00:58:40,000 Speaker 1: I got so emotional and it was so funny and 1017 00:58:40,160 --> 00:58:43,040 Speaker 1: so good and I loved it amazing. 1018 00:58:43,560 --> 00:58:45,200 Speaker 2: Yeah, that was one that I feel like I never 1019 00:58:45,280 --> 00:58:48,840 Speaker 2: watched because it like the first I had heard of 1020 00:58:48,880 --> 00:58:51,920 Speaker 2: It was really when it like won the Academy Award 1021 00:58:52,000 --> 00:58:54,400 Speaker 2: for Best Picture, and so I was like, but it 1022 00:58:54,520 --> 00:58:55,560 Speaker 2: was also the the. 1023 00:58:55,720 --> 00:58:58,000 Speaker 1: First film to ever win an Academy Award for Best 1024 00:58:58,040 --> 00:59:01,200 Speaker 1: Picture after premiering it, like Sun Dance, So the fact 1025 00:59:01,240 --> 00:59:04,160 Speaker 1: that it came from that, and I also was like, 1026 00:59:04,480 --> 00:59:06,280 Speaker 1: I watched it on Apple TV, but I think it 1027 00:59:06,440 --> 00:59:09,640 Speaker 1: came from like that's where it was originally planned to 1028 00:59:09,760 --> 00:59:12,560 Speaker 1: stream or whatever. But that's also interesting too, because we 1029 00:59:12,640 --> 00:59:15,880 Speaker 1: were talking about that yesterday. So yeah, get your views 1030 00:59:15,960 --> 00:59:19,959 Speaker 1: in before Apple TV takes everything all gone. Yeah. 1031 00:59:20,600 --> 00:59:24,840 Speaker 2: You can find me on Twitter at Jack Underscore, O'Brien. 1032 00:59:25,720 --> 00:59:28,640 Speaker 2: I've been enjoying there. Somebody tweeted, what's the funniest TikTok 1033 00:59:28,720 --> 00:59:31,040 Speaker 2: video You've ever seen? And I've just been enjoying a 1034 00:59:31,120 --> 00:59:33,960 Speaker 2: lot of the responses because I'm not on TikTok, So 1035 00:59:34,120 --> 00:59:38,520 Speaker 2: this is like a bumper crop of new videos. Mine 1036 00:59:38,640 --> 00:59:42,640 Speaker 2: is still the girls saying, oh you think this is 1037 00:59:42,920 --> 00:59:44,840 Speaker 2: Teddy Bear Whinnie. 1038 00:59:44,560 --> 00:59:47,760 Speaker 1: The Pooh Pooh, Yeah, oh you think this is the 1039 00:59:47,880 --> 00:59:48,720 Speaker 1: Easter Bunny Bear. 1040 00:59:48,800 --> 00:59:50,400 Speaker 2: Oh yeah, you think it's the Easter Bunny. 1041 00:59:51,040 --> 00:59:52,600 Speaker 1: No, it's Winnie the Pooh. 1042 00:59:52,920 --> 00:59:53,120 Speaker 3: Yes. 1043 00:59:53,960 --> 00:59:56,760 Speaker 2: I also q n O r a. 1044 00:59:58,360 --> 01:00:05,000 Speaker 3: Q Nora, q q one, QAnon is c and on. 1045 01:00:05,120 --> 01:00:06,720 Speaker 1: I'm enjoying qnanon. 1046 01:00:06,760 --> 01:00:09,800 Speaker 2: And I've also been enjoying q's latest drafts. I know 1047 01:00:09,960 --> 01:00:14,720 Speaker 2: qn O rap name Underscore tweeted Chapel Roone sounds like 1048 01:00:14,800 --> 01:00:17,919 Speaker 2: a Catholic school in Northeast with a decent football team. 1049 01:00:18,320 --> 01:00:19,560 Speaker 1: Oh my god, that's so true. 1050 01:00:19,800 --> 01:00:22,240 Speaker 3: It really does sounds a Questrian to me. 1051 01:00:22,720 --> 01:00:25,520 Speaker 2: Uh yeah that too. You can find us on Twitter 1052 01:00:25,560 --> 01:00:28,600 Speaker 2: at daily Zeikeeist. We're at the Daily Zeichgeist on Instagram. 1053 01:00:28,720 --> 01:00:31,400 Speaker 2: We have a Facebook fanpage and a website, Daily zeikeist 1054 01:00:31,400 --> 01:00:34,600 Speaker 2: dot com, where we post our episodes and our footnotes 1055 01:00:34,760 --> 01:00:36,400 Speaker 2: where we link off to the information that we talked 1056 01:00:36,440 --> 01:00:38,840 Speaker 2: about in today's episode, as well as the song that 1057 01:00:38,920 --> 01:00:42,800 Speaker 2: we think you might enjoy. Super producer Justin's been holding 1058 01:00:42,840 --> 01:00:46,520 Speaker 2: it down all week telling us some great songs to 1059 01:00:46,560 --> 01:00:50,120 Speaker 2: go check out. Justin, you've been killing it so far 1060 01:00:50,640 --> 01:00:53,720 Speaker 2: last day before Miles comes back, what's the song do 1061 01:00:53,840 --> 01:00:55,120 Speaker 2: you think people should go check out? 1062 01:00:55,520 --> 01:00:58,080 Speaker 6: I actually wanted to recommend this song that I had 1063 01:00:58,440 --> 01:01:01,320 Speaker 6: recommended in the past sometime time ago, but I remember 1064 01:01:01,440 --> 01:01:04,040 Speaker 6: it wasn't summer. So I wanted to shout out this 1065 01:01:04,160 --> 01:01:07,080 Speaker 6: song now because it reminds me of summertime Chicago, and 1066 01:01:07,160 --> 01:01:09,200 Speaker 6: I'm about to head back there for my birthday in 1067 01:01:09,240 --> 01:01:13,760 Speaker 6: a few weeks. This song is from Chicago artist Knox Fortune. 1068 01:01:13,920 --> 01:01:17,720 Speaker 6: It has this low fi beats the study to bedroom 1069 01:01:17,840 --> 01:01:21,360 Speaker 6: producer vibe with lyrics about a summertime romance. 1070 01:01:21,480 --> 01:01:22,840 Speaker 2: And it's called Lil Thing. 1071 01:01:23,080 --> 01:01:25,000 Speaker 6: And that again is by NOx Fortune and you can 1072 01:01:25,040 --> 01:01:27,120 Speaker 6: find that song in the foot notes. 1073 01:01:27,880 --> 01:01:32,600 Speaker 2: Happy early birthday, Thank you super producer, justin. Happy one 1074 01:01:32,640 --> 01:01:34,720 Speaker 2: day late birthday to super Producer. 1075 01:01:35,200 --> 01:01:39,240 Speaker 1: Happy birthday, Victory, Happy one day late birthday to India. 1076 01:01:40,480 --> 01:01:42,440 Speaker 1: India Independence on August. 1077 01:01:42,360 --> 01:01:44,240 Speaker 3: Yeah, shout out India. Shout out India. 1078 01:01:44,320 --> 01:01:51,920 Speaker 2: Also damn Victor on the same day as all right, 1079 01:01:52,520 --> 01:01:55,040 Speaker 2: we'll link off to that song in the footnotes. The 1080 01:01:55,120 --> 01:01:57,280 Speaker 2: Daily Zeitgeist is a production of I Heart Radio. For 1081 01:01:57,440 --> 01:01:59,920 Speaker 2: more podcasts from my heart Radio, visit the iHeart Rate 1082 01:02:00,160 --> 01:02:03,120 Speaker 2: Apple Podcasts wherever you listen to your favorite shows. That 1083 01:02:03,320 --> 01:02:06,240 Speaker 2: is going to do it for us This morning, back 1084 01:02:06,560 --> 01:02:09,720 Speaker 2: on Monday, to tell you what was trending over the weekend, 1085 01:02:10,360 --> 01:02:13,200 Speaker 2: and back to over the weekend with a highlight reel 1086 01:02:13,720 --> 01:02:16,360 Speaker 2: of the episodes from this week. So we will talk 1087 01:02:16,400 --> 01:02:19,400 Speaker 2: to you all then have a great weekend. Bye bye