1 00:00:00,640 --> 00:00:03,560 Speaker 1: Hello the Internet, and welcome to Season to fifty three, 2 00:00:03,560 --> 00:00:09,120 Speaker 1: episode two of day production of I Heart Radio. This 3 00:00:09,200 --> 00:00:11,600 Speaker 1: is a podcast where we take a deep dive into 4 00:00:11,920 --> 00:00:16,680 Speaker 1: America's share consciousness. And it's Wednesday, September seven, which of 5 00:00:16,720 --> 00:00:22,200 Speaker 1: course means, drumroll, please wait well September seven. Oh man, 6 00:00:22,239 --> 00:00:26,320 Speaker 1: it's we got a lot. Okay, It's National Grandma Moses Day. 7 00:00:26,360 --> 00:00:29,000 Speaker 1: I don't know what that is, National Grateful Patient Day, 8 00:00:29,200 --> 00:00:33,400 Speaker 1: National neither snow nor rain Day, National New Hampshire Day, 9 00:00:33,520 --> 00:00:39,080 Speaker 1: heard of that one? And no rain day? Is that sleep? 10 00:00:39,840 --> 00:00:40,959 Speaker 1: They want to do? You want to do? You want 11 00:00:40,960 --> 00:00:43,400 Speaker 1: to want me to expand on that? A little wildly 12 00:00:43,440 --> 00:00:48,400 Speaker 1: inappropriate given our current final damn. It's to commemorate the 13 00:00:48,440 --> 00:00:52,400 Speaker 1: opening of the New York Post Office. So neither neither 14 00:00:52,479 --> 00:00:55,640 Speaker 1: snow nor rain, nor heat nor bloom of night stays 15 00:00:55,760 --> 00:00:59,960 Speaker 1: these couriers from the swift completion of their appointed rounds 16 00:01:00,000 --> 00:01:01,720 Speaker 1: out of to the post office, just to just do 17 00:01:01,880 --> 00:01:04,560 Speaker 1: National Post Office Day. Maybe, yeah, yeah, don't make it 18 00:01:04,560 --> 00:01:07,160 Speaker 1: about it now. It sounds like a logic problem about 19 00:01:07,240 --> 00:01:10,560 Speaker 1: a type of ruation that we're supposed to be guessing, 20 00:01:10,640 --> 00:01:13,400 Speaker 1: like New York Postal Workers Day, like probably be like 21 00:01:13,760 --> 00:01:18,960 Speaker 1: neither so nor rain. Anyways, my name's Jack O'Brien. A 22 00:01:19,080 --> 00:01:24,000 Speaker 1: k oh baby, I like baha, Oh baby, I like baha. 23 00:01:24,920 --> 00:01:30,440 Speaker 1: That's courtesy of Bohemian Rap City Andrew Twitter handle, and 24 00:01:30,440 --> 00:01:32,759 Speaker 1: I'm thrilled to be joined as always by my co host, 25 00:01:33,080 --> 00:01:37,320 Speaker 1: Mr Miles gra Um pum bum bum bum bum bum 26 00:01:37,440 --> 00:01:41,840 Speaker 1: bump bump bump bump bump bump bump bah bump astlean 27 00:01:42,200 --> 00:01:48,800 Speaker 1: days never sleep away on by way wait um by 28 00:01:49,040 --> 00:01:53,360 Speaker 1: way to where the hater sleep? Can you tell me 29 00:01:53,680 --> 00:01:57,920 Speaker 1: how to get how to get to lambo? Bi? Okay, 30 00:01:57,960 --> 00:02:00,160 Speaker 1: how do you get that Lambo? Just go on you too, 31 00:02:00,400 --> 00:02:02,760 Speaker 1: and look for all of these people preaching the growth, 32 00:02:02,840 --> 00:02:06,160 Speaker 1: the wealth, prosperity, and you two may have lambode that 33 00:02:06,280 --> 00:02:12,280 Speaker 1: will fill the fathers shaped void leah in your soul. Well, Miles, 34 00:02:12,400 --> 00:02:14,480 Speaker 1: we are thrilled to be joined. That was beautiful, but 35 00:02:14,760 --> 00:02:16,400 Speaker 1: so also if forgot to shout out that's from ghost 36 00:02:16,400 --> 00:02:20,959 Speaker 1: face killing oh really gross space killing my bad. I 37 00:02:21,000 --> 00:02:24,320 Speaker 1: still folk with you, Tony. I would be impressed, but 38 00:02:24,480 --> 00:02:28,359 Speaker 1: also a little worried about ghost faces career and investments. 39 00:02:28,480 --> 00:02:30,360 Speaker 1: If he was right in Hayes for us, but maybe 40 00:02:30,440 --> 00:02:32,720 Speaker 1: just a big fan. I mean, would gross face kill it? 41 00:02:32,840 --> 00:02:37,519 Speaker 1: Be like Tony Barfs, Like, how would you that? Because 42 00:02:37,560 --> 00:02:39,800 Speaker 1: you know he's Tony Starks. You know he's got many nicknames. 43 00:02:39,840 --> 00:02:46,120 Speaker 1: The iron Man face to this is we're picturing garbage 44 00:02:46,160 --> 00:02:49,200 Speaker 1: pale kid equivalents of all the wood Tang clan members 45 00:02:49,480 --> 00:02:52,040 Speaker 1: right right right, This probably needs to happen, if it 46 00:02:52,120 --> 00:02:57,480 Speaker 1: hasn't already, and if it's already art that we should 47 00:02:57,520 --> 00:02:59,799 Speaker 1: have all right, well, sorry, sorry to derail the show 48 00:02:59,840 --> 00:03:03,600 Speaker 1: at end with that question. Oh miles, get back on track. 49 00:03:03,880 --> 00:03:07,800 Speaker 1: Trying Long Weekend, Long Weekend Weird. Thrilled to be joined 50 00:03:07,840 --> 00:03:11,280 Speaker 1: by a creative and political activists who has gone viral 51 00:03:11,400 --> 00:03:13,679 Speaker 1: a number of times, including creating the video in which 52 00:03:13,720 --> 00:03:18,880 Speaker 1: Ellen DeGeneres is non apology monologue about being friends with 53 00:03:18,960 --> 00:03:23,120 Speaker 1: George W. Bush was juxtaposed with footage of his war crimes, 54 00:03:23,800 --> 00:03:27,280 Speaker 1: and Ellen was not thrilled tried to get it taken down. 55 00:03:27,600 --> 00:03:30,120 Speaker 1: Among many other things. That's just the one that you 56 00:03:30,320 --> 00:03:33,040 Speaker 1: you might know him from. Please welcome the brilliant and 57 00:03:33,320 --> 00:03:40,160 Speaker 1: talented Raphael Schmoon off wrap in the building. I'm still 58 00:03:40,200 --> 00:03:43,360 Speaker 1: recovering a little bit from I think you shouted something 59 00:03:43,400 --> 00:03:47,200 Speaker 1: in German to this Jewish person. I shouted away from 60 00:03:47,240 --> 00:03:52,360 Speaker 1: the mic though, so it was being sensitive. My ancestors 61 00:03:52,400 --> 00:03:55,920 Speaker 1: put their hands on my shoulders and steady, steady, stead 62 00:03:56,200 --> 00:03:58,839 Speaker 1: what about my Howard Dean scream? Did that take you back? 63 00:04:00,160 --> 00:04:02,680 Speaker 1: That one just always reminds me of how little it 64 00:04:02,760 --> 00:04:06,600 Speaker 1: took to sink someone. And yeah, nothing can sink anyone anymore. 65 00:04:06,680 --> 00:04:09,080 Speaker 1: I know. That's I honestly, so why I love that clip. 66 00:04:09,120 --> 00:04:11,560 Speaker 1: It's like the dude literally is just like saying he 67 00:04:11,720 --> 00:04:17,200 Speaker 1: was so stoked on the idea of the president. Have 68 00:04:17,320 --> 00:04:22,440 Speaker 1: we gotten the deep dive like journalistic deep dive documentary 69 00:04:22,720 --> 00:04:25,800 Speaker 1: about the Dean Scream? Because I think it's it's both 70 00:04:25,960 --> 00:04:28,240 Speaker 1: a testament to how little it could take to sink 71 00:04:28,320 --> 00:04:31,039 Speaker 1: someone and also how little it can take to sink 72 00:04:31,120 --> 00:04:35,600 Speaker 1: someone when the mainstream media is cooperating and don't like 73 00:04:35,720 --> 00:04:38,360 Speaker 1: their policies. There has to be one out there, and 74 00:04:38,440 --> 00:04:40,800 Speaker 1: the Dean Scream is the is the exact name that 75 00:04:40,880 --> 00:04:44,200 Speaker 1: it should be, right, you know, some people know it 76 00:04:44,360 --> 00:04:51,400 Speaker 1: as the I have a scream. It's just good meming. 77 00:04:52,200 --> 00:05:00,440 Speaker 1: This is bullshit. The Wikipedia passing like w w w 78 00:05:01,000 --> 00:05:05,360 Speaker 1: oh my god. I know, like the documentary about where 79 00:05:05,440 --> 00:05:09,720 Speaker 1: they look at the audio and they say that he 80 00:05:09,800 --> 00:05:13,640 Speaker 1: actually didn't scream that loud, and the that might have 81 00:05:13,680 --> 00:05:15,880 Speaker 1: been an episode of this American Life or something that 82 00:05:15,920 --> 00:05:18,560 Speaker 1: I'm remembering, But I want to see the one about 83 00:05:19,120 --> 00:05:25,039 Speaker 1: the just general agreement behind closed doors by the mainstream 84 00:05:25,120 --> 00:05:27,280 Speaker 1: media to be like, let's let's kill him with this? 85 00:05:27,360 --> 00:05:29,520 Speaker 1: Should we kill him with this? Yeah, let's let's let's 86 00:05:29,520 --> 00:05:31,960 Speaker 1: get rid of this, because he anticipated so many things 87 00:05:32,000 --> 00:05:38,000 Speaker 1: about modern politics and moving towards progressive ideals and also 88 00:05:38,320 --> 00:05:44,560 Speaker 1: online fundraising. But I'm sure they're dude, what a nerd? Huh? 89 00:05:45,960 --> 00:05:49,039 Speaker 1: It was when when the mainstream media was an internet 90 00:05:49,560 --> 00:05:52,520 Speaker 1: an approximation of what the Internet would become, and also 91 00:05:52,720 --> 00:05:56,919 Speaker 1: just bullies in a lunch room keep doing and they 92 00:05:57,040 --> 00:05:59,760 Speaker 1: keep blaming. Now they say it's Twitter, the Twitter mom 93 00:05:59,839 --> 00:06:03,200 Speaker 1: that has it. But they did it with Dacocus where 94 00:06:03,279 --> 00:06:05,160 Speaker 1: they had this helmet on and he was in a 95 00:06:05,240 --> 00:06:07,760 Speaker 1: tank and he's a man of you know, normal stature 96 00:06:07,880 --> 00:06:10,840 Speaker 1: or smaller stature, and they used that to to to 97 00:06:11,480 --> 00:06:15,440 Speaker 1: ridicule him, and then well then they did, yeah, Carry 98 00:06:15,640 --> 00:06:19,479 Speaker 1: was so they killed Dean with the scream to make 99 00:06:19,600 --> 00:06:23,000 Speaker 1: room for John Carry, who they then killed with the 100 00:06:23,560 --> 00:06:26,240 Speaker 1: flip flop but John Carrey did it to himself in 101 00:06:26,279 --> 00:06:28,479 Speaker 1: a lot of ways. Maybe they made room for Dean 102 00:06:28,960 --> 00:06:31,920 Speaker 1: or made room four carry because they knew we're going 103 00:06:32,080 --> 00:06:35,000 Speaker 1: to rinse this fool. They also have a picture of 104 00:06:35,080 --> 00:06:37,680 Speaker 1: him and like all this ppe going through a tube 105 00:06:37,800 --> 00:06:41,000 Speaker 1: like an HVAC two. Yeah circulated. It was just wild. 106 00:06:41,080 --> 00:06:44,440 Speaker 1: But yeah, he did a lot to himself. Yeah, and 107 00:06:45,080 --> 00:06:50,160 Speaker 1: now they can't do shit about Trump unfortunately. Probably those 108 00:06:50,200 --> 00:06:52,800 Speaker 1: two are probably related. Them just doing ship at a 109 00:06:52,839 --> 00:06:56,520 Speaker 1: whim based on who they thought had the best odds 110 00:06:56,600 --> 00:07:00,320 Speaker 1: in the horse race for the Democratic combination and people 111 00:07:00,440 --> 00:07:05,320 Speaker 1: losing faith in their opinion of things might might be canned. 112 00:07:05,400 --> 00:07:08,680 Speaker 1: Might be related. Anyways, It's great to have you back. 113 00:07:09,120 --> 00:07:11,040 Speaker 1: It's been been a little while. Have you been doing 114 00:07:11,800 --> 00:07:14,600 Speaker 1: I'm doing good. Yeah. I just came back from a 115 00:07:14,720 --> 00:07:18,360 Speaker 1: rally yesterday was the Starbucks workers and the Amazon Labor 116 00:07:18,480 --> 00:07:21,560 Speaker 1: Union rally for Labor Day. We went to Jeff bezos 117 00:07:21,600 --> 00:07:25,200 Speaker 1: penthouse and we went to Sheltzon's penthouse with the workers. 118 00:07:25,320 --> 00:07:28,120 Speaker 1: We ended up in Times Square. It was really really powerful, 119 00:07:28,280 --> 00:07:32,880 Speaker 1: powerful moment, amazing. Bezos and Mr Schultz weren't there to 120 00:07:33,280 --> 00:07:37,480 Speaker 1: greet you with, uh, you know, it was there penthouses. 121 00:07:37,480 --> 00:07:39,800 Speaker 1: I think Bezos keeps buying more floors, and now it's 122 00:07:39,840 --> 00:07:41,920 Speaker 1: up to like, I don't know, maybe over a hundred 123 00:07:42,000 --> 00:07:45,360 Speaker 1: twenty million dollars and value of that of the two 124 00:07:45,440 --> 00:07:48,680 Speaker 1: floors of the penthouse. Yes, is why he's going to 125 00:07:48,760 --> 00:07:51,800 Speaker 1: stop at the seventh floor. Nothing blew seven because he 126 00:07:51,880 --> 00:07:54,560 Speaker 1: doesn't want to hear the protests because d C Mansion 127 00:07:54,600 --> 00:07:56,840 Speaker 1: has twenty five bathrooms and we're all like still kind 128 00:07:56,880 --> 00:07:59,920 Speaker 1: of trying to figure out, like why would someone need bathrooms? 129 00:08:00,160 --> 00:08:02,320 Speaker 1: But you go in there and it's just all bathrooms 130 00:08:02,560 --> 00:08:05,480 Speaker 1: the whole thing. It's not that big enough compartment. It's 131 00:08:05,520 --> 00:08:08,400 Speaker 1: just it's like a door city. From the first episode 132 00:08:08,400 --> 00:08:11,240 Speaker 1: of the rehearsal back, where's my room? It's the third 133 00:08:11,320 --> 00:08:14,080 Speaker 1: door on the left there. It's just the bathroom that's 134 00:08:14,160 --> 00:08:16,960 Speaker 1: right where the pieces of ship go. Kind of control 135 00:08:17,080 --> 00:08:19,560 Speaker 1: to me, it's like the workers have to pee in 136 00:08:19,600 --> 00:08:21,480 Speaker 1: these bottles. And then he's like, fun them, I'm gonna 137 00:08:21,520 --> 00:08:24,440 Speaker 1: get bathrooms. Yeah, He's like, I will cut my p 138 00:08:24,600 --> 00:08:29,000 Speaker 1: off mid stream and spread it over seven toilets, broadcast 139 00:08:29,080 --> 00:08:32,439 Speaker 1: workers a little bit, but I gotta go to the 140 00:08:32,520 --> 00:08:36,199 Speaker 1: net alright, Relf, we are going to get to know 141 00:08:36,280 --> 00:08:40,240 Speaker 1: you a little bit better? Is it is that? Okay? Ref? Alright, great, Well, 142 00:08:40,240 --> 00:08:41,880 Speaker 1: we're gonna get to know you know a little bit better. 143 00:08:42,080 --> 00:08:45,120 Speaker 1: And Miles called you that, and I just I'm not 144 00:08:45,200 --> 00:08:48,520 Speaker 1: as cool as Miles. I can't like pull off nicknames sometimes, 145 00:08:48,559 --> 00:08:50,280 Speaker 1: So I just know, I just thought that. I thought 146 00:08:50,400 --> 00:08:52,959 Speaker 1: that's how we always were greeted each other. But I 147 00:08:53,000 --> 00:08:58,720 Speaker 1: guess not. I'm trying to go by the Twitter handle, 148 00:08:58,800 --> 00:09:01,080 Speaker 1: but I feel like converse bastionally. I've always known him 149 00:09:01,080 --> 00:09:03,720 Speaker 1: as rap. There you go. All right, Well, we're gonna 150 00:09:03,760 --> 00:09:05,360 Speaker 1: get to know you a little bit better at a moment. First, 151 00:09:05,400 --> 00:09:07,439 Speaker 1: we're gonna tell our listeners a couple of the things 152 00:09:07,520 --> 00:09:12,199 Speaker 1: we're talking about today. We are talking about the end 153 00:09:12,720 --> 00:09:17,640 Speaker 1: of college, high school, middle school essays. As we know 154 00:09:17,840 --> 00:09:23,199 Speaker 1: that there is a new AI that is pretty sophisticated. 155 00:09:23,400 --> 00:09:25,719 Speaker 1: We were talking about like we I think we have 156 00:09:25,800 --> 00:09:29,599 Speaker 1: a pretty low bar for the visual Aiyes, where you 157 00:09:29,760 --> 00:09:35,800 Speaker 1: type in the search term and you're like Kobe Bryant, Barons, 158 00:09:35,880 --> 00:09:39,199 Speaker 1: dam Bears, nine eleven, and it spits out something that 159 00:09:39,280 --> 00:09:42,599 Speaker 1: includes those things, and we're like, whoa, it's amazing. It 160 00:09:42,720 --> 00:09:47,280 Speaker 1: does kind of look like Kobe Bryant, and you know 161 00:09:47,360 --> 00:09:49,840 Speaker 1: that's the kind that brown Cloud with a twenty four 162 00:09:50,000 --> 00:09:53,720 Speaker 1: is going to hit that equal sign and it looks 163 00:09:54,240 --> 00:09:57,560 Speaker 1: but everyone looks like they're melting, and the Twin Towers 164 00:09:57,600 --> 00:10:00,360 Speaker 1: are like kind of bent for some reason. But we're 165 00:10:00,400 --> 00:10:04,000 Speaker 1: still impressed. That's my art critique on this. I'm just 166 00:10:04,080 --> 00:10:07,000 Speaker 1: saying we I think you know, Ralf, you were saying 167 00:10:07,040 --> 00:10:09,520 Speaker 1: before we started that maybe this is part of the 168 00:10:09,640 --> 00:10:14,720 Speaker 1: AI's plan, is to give us an underdog story. They're 169 00:10:14,760 --> 00:10:17,679 Speaker 1: psyching us out. Yeah, give us a bad one that 170 00:10:17,760 --> 00:10:22,280 Speaker 1: we can root for. Yeah. Yeah, anyways, the essay AI 171 00:10:23,000 --> 00:10:25,920 Speaker 1: is way more impressive. So we're gonna talk about that. 172 00:10:26,360 --> 00:10:30,960 Speaker 1: We're going to talk about the Republicans not really knowing 173 00:10:31,120 --> 00:10:34,640 Speaker 1: what to campaign on anymore, still trying to still trying 174 00:10:34,679 --> 00:10:38,520 Speaker 1: to figure that out. We're gonna talk about fast food 175 00:10:38,600 --> 00:10:43,839 Speaker 1: bowls apparently not going anywhere, and yeah, anyways, all that 176 00:10:44,000 --> 00:10:47,360 Speaker 1: plenty more. But first we like to ask our guests, Ralf, 177 00:10:47,480 --> 00:10:50,040 Speaker 1: what is something from your search history? So you all 178 00:10:50,040 --> 00:10:52,680 Speaker 1: asked recently for me to provide a photo of myself 179 00:10:52,760 --> 00:10:58,120 Speaker 1: to promote this episode as Jewish person um docs a 180 00:10:58,160 --> 00:11:01,160 Speaker 1: lot and smeared by right wing Jews who because of 181 00:11:01,240 --> 00:11:04,559 Speaker 1: my solidarity with Palestinians. So they always do me the 182 00:11:04,679 --> 00:11:09,760 Speaker 1: favorite of finding the most menacing, ridiculous looking photos that 183 00:11:10,559 --> 00:11:13,400 Speaker 1: that I ever took, and they posted and they docked 184 00:11:13,480 --> 00:11:16,520 Speaker 1: you and blah blah blah and um. So there's one 185 00:11:16,600 --> 00:11:18,800 Speaker 1: that goes around. I had the church choice between two. 186 00:11:18,840 --> 00:11:20,640 Speaker 1: There was one that goes around and it looks like 187 00:11:20,880 --> 00:11:23,439 Speaker 1: I'm on the London underground and it looks like I'm 188 00:11:23,520 --> 00:11:26,439 Speaker 1: some far right football hool again and I'm just tandying 189 00:11:26,520 --> 00:11:28,520 Speaker 1: off that day where they just like it was like 190 00:11:28,840 --> 00:11:31,600 Speaker 1: this perfect mix for them to to discredit me as 191 00:11:31,600 --> 00:11:35,199 Speaker 1: a Jewish person. And then then they they found one 192 00:11:35,280 --> 00:11:37,640 Speaker 1: that they needed for me to to to show that 193 00:11:38,160 --> 00:11:42,800 Speaker 1: I'm misappropriating my Jewishness and talking about Palestinian human rights. 194 00:11:42,920 --> 00:11:45,760 Speaker 1: So they have there's this picture of me with a 195 00:11:45,800 --> 00:11:49,920 Speaker 1: sliced bagel and using that as as headphones, and it's ridiculous. 196 00:11:50,160 --> 00:11:52,240 Speaker 1: And that's why I think I could but that's what 197 00:11:52,360 --> 00:11:54,040 Speaker 1: I was googling. I was like, I have to give 198 00:11:54,120 --> 00:11:57,679 Speaker 1: these guys a headshot. Let me look through Google, and 199 00:11:57,760 --> 00:12:00,400 Speaker 1: I know I'm pupping the algorithm on Google. Are the 200 00:12:00,480 --> 00:12:03,760 Speaker 1: most terrible sights that come up, right, and you know, 201 00:12:03,840 --> 00:12:06,000 Speaker 1: every time my mom googles me should probably cries, but 202 00:12:06,520 --> 00:12:12,640 Speaker 1: it is the easiest photo libr Wait, so how I'm 203 00:12:12,720 --> 00:12:15,840 Speaker 1: curious because I can only imagine what kind of disingenuous 204 00:12:15,880 --> 00:12:18,439 Speaker 1: attacks you have to face when you're objectively being like 205 00:12:18,920 --> 00:12:26,360 Speaker 1: this isn't apartheid, um, and like yo, like how are 206 00:12:26,440 --> 00:12:29,199 Speaker 1: you are they saying that just like your weaponizing your 207 00:12:29,400 --> 00:12:32,400 Speaker 1: like your Jewish background to sort of restore the argument 208 00:12:32,480 --> 00:12:36,319 Speaker 1: to be They have names for it. They you know, 209 00:12:36,440 --> 00:12:38,520 Speaker 1: I don't want to go too deeply into it, but however, 210 00:12:39,320 --> 00:12:41,640 Speaker 1: they do it to white Jews, but they do it 211 00:12:41,760 --> 00:12:44,080 Speaker 1: with a special kind of zest to Jews of colors. 212 00:12:44,200 --> 00:12:50,000 Speaker 1: I'm from Uzbekistan, and uh, they they basically test you, 213 00:12:50,200 --> 00:12:52,439 Speaker 1: Like when I bumped them on the street or on Twitter, 214 00:12:52,559 --> 00:12:54,959 Speaker 1: on d m s. They asked me to like prove 215 00:12:55,080 --> 00:12:58,280 Speaker 1: to them like indicators that I'm really Jewish and not 216 00:12:58,400 --> 00:13:02,719 Speaker 1: like secretly Muslim or some kind of agent of some 217 00:13:03,040 --> 00:13:06,600 Speaker 1: of some sort, just because I'm like, hey, one person, 218 00:13:06,720 --> 00:13:12,199 Speaker 1: one vote, right monster yeah, or like or even just 219 00:13:12,320 --> 00:13:15,800 Speaker 1: like they're like I think, never mind, I can I 220 00:13:15,840 --> 00:13:19,200 Speaker 1: can imagine, Yeah, the absurdity of like just looking at 221 00:13:19,240 --> 00:13:23,440 Speaker 1: things in real time and having a whole, very highly 222 00:13:23,679 --> 00:13:28,120 Speaker 1: energized group of people to the way to disempower it 223 00:13:28,240 --> 00:13:30,520 Speaker 1: is to really talk about it and bring it up 224 00:13:30,559 --> 00:13:34,400 Speaker 1: and ridiculous versus um they. But but for me, it's 225 00:13:34,400 --> 00:13:36,120 Speaker 1: easy because I have a platform to do that. And 226 00:13:36,160 --> 00:13:37,880 Speaker 1: there's a lot of people who are docs like this. 227 00:13:38,920 --> 00:13:41,480 Speaker 1: This is the first result in their in their name 228 00:13:41,559 --> 00:13:44,760 Speaker 1: on Google for life, and it's gonna jobs it's going 229 00:13:44,800 --> 00:13:48,160 Speaker 1: to affect their relationships. It's they don't have a platform 230 00:13:48,280 --> 00:13:51,760 Speaker 1: to self self, you know, speak for themselves and respond 231 00:13:52,160 --> 00:13:56,000 Speaker 1: and then like which which tweet was photoshop? Which thing 232 00:13:56,080 --> 00:13:58,599 Speaker 1: was taken out of context? So what we did was 233 00:13:58,840 --> 00:14:00,839 Speaker 1: there's one group like this. It's called it's like this 234 00:14:00,960 --> 00:14:03,800 Speaker 1: fake hate site, but it's called stop Anti Semitism dot 235 00:14:03,880 --> 00:14:06,640 Speaker 1: org and it's run by a right winger like Trumper 236 00:14:07,320 --> 00:14:10,559 Speaker 1: and uh we but we took the dot com version 237 00:14:10,960 --> 00:14:13,880 Speaker 1: from under them. They they forgot to either renew it 238 00:14:14,040 --> 00:14:16,559 Speaker 1: or something. And I raised some money and we we 239 00:14:16,640 --> 00:14:19,040 Speaker 1: bought it from under them. Were crowdsourced it. And now 240 00:14:19,080 --> 00:14:22,640 Speaker 1: we're gonna create that space for people to respond, for 241 00:14:22,760 --> 00:14:25,040 Speaker 1: those people who don't have a platform, so that the 242 00:14:25,160 --> 00:14:27,960 Speaker 1: first Google result for their name for speaking with about 243 00:14:28,000 --> 00:14:31,320 Speaker 1: Palestinians or being Palestinian for them to have a thing 244 00:14:31,400 --> 00:14:33,960 Speaker 1: where it shows their side of what what what what 245 00:14:34,080 --> 00:14:37,480 Speaker 1: the truth was? Does that creep into Like so that's 246 00:14:37,520 --> 00:14:40,120 Speaker 1: something that you have to think about when you are 247 00:14:40,560 --> 00:14:43,840 Speaker 1: representing yourself online or I have you been able to 248 00:14:43,960 --> 00:14:48,800 Speaker 1: just I'm so much more insulated from it just because 249 00:14:48,840 --> 00:14:51,480 Speaker 1: I I have these platforms, I have these opportunities to 250 00:14:51,520 --> 00:14:54,120 Speaker 1: talk about it and even the score and and show 251 00:14:54,200 --> 00:14:56,560 Speaker 1: what happened. But yeah, I don't I don't think about 252 00:14:56,560 --> 00:14:58,800 Speaker 1: it too much. Plus, you know my I just make 253 00:14:58,880 --> 00:15:01,800 Speaker 1: sure I fool proof my life. Like if I join 254 00:15:01,880 --> 00:15:05,360 Speaker 1: our organization, I have to make sure the board you know, 255 00:15:05,520 --> 00:15:08,800 Speaker 1: knows and it's cool and like surprised. If I joined 256 00:15:08,840 --> 00:15:11,120 Speaker 1: a campaign, I have to be like, hey, this might 257 00:15:11,200 --> 00:15:14,000 Speaker 1: come up and then you know, really get like buying 258 00:15:14,760 --> 00:15:16,800 Speaker 1: for there. But it's it's am a lot easier for me. 259 00:15:17,560 --> 00:15:21,040 Speaker 1: That's wild. What is something you think is overrated? Oh? 260 00:15:23,680 --> 00:15:26,360 Speaker 1: Like that? I like that? Grow I'm gonna start with underrated, 261 00:15:26,640 --> 00:15:30,080 Speaker 1: right alright, yeah, go go go yeah, So underrated people 262 00:15:30,120 --> 00:15:33,520 Speaker 1: who are too faced are underrated. Sometimes one face is 263 00:15:33,600 --> 00:15:35,960 Speaker 1: good and the other face is better, right, why can't 264 00:15:35,960 --> 00:15:38,240 Speaker 1: it be that why is it always bad? You know, 265 00:15:38,480 --> 00:15:41,400 Speaker 1: I'm staring at you guys in Gemini right now, pleading 266 00:15:41,480 --> 00:15:46,560 Speaker 1: with you that being two faced is underrated. Yeah, so 267 00:15:46,640 --> 00:15:49,040 Speaker 1: it's this what what what's the euphemism you you if 268 00:15:49,080 --> 00:15:52,520 Speaker 1: you would give a new word for to face, kind 269 00:15:52,560 --> 00:15:54,640 Speaker 1: of have it encapsulate what you're talking about? What what 270 00:15:54,680 --> 00:16:00,240 Speaker 1: would you call about? Like presentational flexibility? Squad? Got a 271 00:16:00,240 --> 00:16:04,400 Speaker 1: squad with you. It's amazing, it's powerful. You're like, oh, 272 00:16:04,440 --> 00:16:09,120 Speaker 1: you want me to call my homies up and I'm here, 273 00:16:09,160 --> 00:16:16,040 Speaker 1: what's up? Motherfucker? You're like, whoa? What's do you think 274 00:16:16,160 --> 00:16:21,000 Speaker 1: is overrated? This is a controversial one. Lynn Manuel Miranda 275 00:16:21,120 --> 00:16:26,480 Speaker 1: is overrated. His wraps are corny. He supported bad like 276 00:16:26,560 --> 00:16:30,520 Speaker 1: colonialist things in Puerto Rico, called Promessa the austerity stuff 277 00:16:31,200 --> 00:16:33,720 Speaker 1: and Hamilton's glorified bad things. But I'm not gonna lie. 278 00:16:33,960 --> 00:16:35,880 Speaker 1: It was good and I spent a lot of time 279 00:16:35,920 --> 00:16:39,160 Speaker 1: in money see the show. It was actually really brilliant. 280 00:16:39,920 --> 00:16:43,000 Speaker 1: But you gotta you know, here's the one line that 281 00:16:43,080 --> 00:16:46,720 Speaker 1: I found bust my flow because the flow is lethal. 282 00:16:46,960 --> 00:16:49,480 Speaker 1: It's called in the Heights and life is sweet, yo. 283 00:16:50,720 --> 00:16:52,960 Speaker 1: In the Heights is genius, Like it's one of the 284 00:16:53,200 --> 00:16:55,080 Speaker 1: most beautiful things that you should see the movie and 285 00:16:56,320 --> 00:16:59,200 Speaker 1: whoever saw the playmen existed, and you're just like ridiculously genius. 286 00:16:59,280 --> 00:17:01,840 Speaker 1: But and be good at every right, It's not like 287 00:17:01,920 --> 00:17:06,160 Speaker 1: you're gonna get like real bars out of him. You can't. 288 00:17:06,200 --> 00:17:08,320 Speaker 1: You can't like be able to write all these songs 289 00:17:08,400 --> 00:17:11,720 Speaker 1: and do these arrangements and have fucking bars to yea 290 00:17:12,000 --> 00:17:14,320 Speaker 1: and not sell out your own people. But also, this 291 00:17:14,440 --> 00:17:19,000 Speaker 1: is Puerto Rican family business and I'm not Puerto Ricans. Hey, 292 00:17:19,119 --> 00:17:21,600 Speaker 1: jay Z did it? Oh yeah, you know, yeah, bars 293 00:17:21,640 --> 00:17:26,280 Speaker 1: and slop the culture out so it can happen. Jay 294 00:17:26,359 --> 00:17:32,240 Speaker 1: Z could do it. I feel like the zeitgeist is 295 00:17:32,440 --> 00:17:35,480 Speaker 1: sort of with you on that is coming around on 296 00:17:35,960 --> 00:17:41,200 Speaker 1: lin Manuel Miranda being a little bit overrated at this point, 297 00:17:41,320 --> 00:17:43,720 Speaker 1: people just were just being like, if I see him 298 00:17:43,760 --> 00:17:47,320 Speaker 1: show up on another like I don't know, award ceremony 299 00:17:47,480 --> 00:17:51,000 Speaker 1: or something like, it's just his His whole vibe is 300 00:17:51,680 --> 00:17:55,720 Speaker 1: I think maybe worn thin on some people. Now I 301 00:17:55,760 --> 00:18:01,800 Speaker 1: want to see dark Miranda emerge. Yeah, dark lint. See 302 00:18:01,840 --> 00:18:06,200 Speaker 1: what that looks like with the laser eyes? Right, yeah, 303 00:18:06,720 --> 00:18:14,640 Speaker 1: what would that look like? The world will be my stage? Right, Actually, 304 00:18:14,960 --> 00:18:19,200 Speaker 1: we have super producer Becca, who has a lot of 305 00:18:19,320 --> 00:18:22,520 Speaker 1: thoughts that we've talked to her about before with regards 306 00:18:22,560 --> 00:18:27,200 Speaker 1: to Limn Wilmranda, Becca, welcome to the show. This is 307 00:18:27,320 --> 00:18:32,080 Speaker 1: your ten minutes. Let us know any thoughts. I used 308 00:18:32,080 --> 00:18:35,960 Speaker 1: to be like a huge fan of his, like as 309 00:18:36,040 --> 00:18:40,160 Speaker 1: a music theater music theater nerd and as a Puerto 310 00:18:40,240 --> 00:18:44,600 Speaker 1: Rican I and a Hamilton's stand When it originally came out, right, 311 00:18:44,800 --> 00:18:48,160 Speaker 1: I was like boot licking right. I loved it. Um. 312 00:18:48,960 --> 00:18:51,159 Speaker 1: I mean I went to Baylor, you know, like my 313 00:18:51,840 --> 00:18:54,600 Speaker 1: my Polycide teacher was like Hamilton's the best thing ever happened. 314 00:18:54,880 --> 00:18:57,200 Speaker 1: And then I watched Hamilton's and I was like, wow, 315 00:18:57,480 --> 00:18:59,920 Speaker 1: oh my god. You know, I was a different mind 316 00:19:00,080 --> 00:19:04,399 Speaker 1: set in Okay. But now as someone who lives in 317 00:19:04,440 --> 00:19:08,080 Speaker 1: New York, who like volunteers at like a latinox like 318 00:19:08,480 --> 00:19:12,400 Speaker 1: collective bookstore in Bushwick and has like become more involved 319 00:19:12,560 --> 00:19:16,160 Speaker 1: in my own Puerto Rican heritage and like the Latino 320 00:19:16,200 --> 00:19:21,040 Speaker 1: slash Puerto Rican community in New York, I definitely feel 321 00:19:21,119 --> 00:19:23,800 Speaker 1: some type of way about his, you know, nonprofit work 322 00:19:23,840 --> 00:19:28,800 Speaker 1: in Puerto Rico, especially as someone who isn't from the island. 323 00:19:28,880 --> 00:19:31,879 Speaker 1: There's a lot of tension between like New Euricans and 324 00:19:32,400 --> 00:19:36,200 Speaker 1: you know, islander Puerto Ricans, and some of it's unjust, 325 00:19:36,480 --> 00:19:38,800 Speaker 1: you know, some of it's defensive, but some of it 326 00:19:39,080 --> 00:19:41,600 Speaker 1: is very just like Puerto Ricans in New York, some 327 00:19:41,680 --> 00:19:43,359 Speaker 1: of them have never been to Puerto Rico and they 328 00:19:43,480 --> 00:19:46,200 Speaker 1: truly do not know what's going on over there. And 329 00:19:46,400 --> 00:19:49,639 Speaker 1: they do have so much pride, as they should, but 330 00:19:50,400 --> 00:19:53,320 Speaker 1: they aren't involved in the policy work or really in 331 00:19:53,680 --> 00:19:57,960 Speaker 1: the history or education of of what's going on. And 332 00:19:58,800 --> 00:20:01,120 Speaker 1: I think it can be very in asive when New 333 00:20:01,160 --> 00:20:05,480 Speaker 1: Euorricans go to Puerto Rico and start enacting looking policies 334 00:20:05,600 --> 00:20:09,080 Speaker 1: so to speak, that are like, you know, pseudo helpful, 335 00:20:09,760 --> 00:20:13,000 Speaker 1: but aren't actually listening to the people of Puerto Rico 336 00:20:13,080 --> 00:20:15,920 Speaker 1: and like what their needs are. So yeah, I I 337 00:20:16,320 --> 00:20:18,680 Speaker 1: feel like he's like a fallen hero of mine, like 338 00:20:18,800 --> 00:20:21,080 Speaker 1: I was. It's it's like I never meet your here. 339 00:20:21,119 --> 00:20:23,119 Speaker 1: It's not that I've ever met him, but it definitely 340 00:20:23,200 --> 00:20:26,520 Speaker 1: feels like I'm like, oh my God, like I he's 341 00:20:26,600 --> 00:20:29,240 Speaker 1: doing it for, you know, like like for the Puerto 342 00:20:29,280 --> 00:20:32,440 Speaker 1: Rican people. And then you just kind of like dig 343 00:20:32,760 --> 00:20:36,800 Speaker 1: one step deeper and you're kind of like, I don't 344 00:20:36,920 --> 00:20:42,040 Speaker 1: know and especially yeah, especially after like I think my 345 00:20:42,760 --> 00:20:45,360 Speaker 1: bubble was burst when In the Heights movie came out, 346 00:20:45,440 --> 00:20:48,320 Speaker 1: because like it was such a departure from the beauty 347 00:20:48,480 --> 00:20:51,000 Speaker 1: that was the original musical, Like I can still talk 348 00:20:51,040 --> 00:20:54,080 Speaker 1: about scenes from saying the original musical and cry because 349 00:20:54,119 --> 00:20:56,960 Speaker 1: it was like my first real representation of like my 350 00:20:57,160 --> 00:20:59,760 Speaker 1: family on screen, like the mom and the original musical 351 00:21:00,440 --> 00:21:03,440 Speaker 1: sounds and like looks like my mom, and I like cried. 352 00:21:03,560 --> 00:21:06,359 Speaker 1: I was like, wow, I've never seen somebody look like 353 00:21:06,520 --> 00:21:09,040 Speaker 1: my mom and sound like her because she sounds like 354 00:21:09,080 --> 00:21:11,800 Speaker 1: a Eurecan and because she grew up between New York 355 00:21:11,800 --> 00:21:14,240 Speaker 1: and Puerto Rico, she was born on the island. But 356 00:21:14,640 --> 00:21:17,960 Speaker 1: the musical was like such a Hollywood scapegoat, Like it 357 00:21:18,119 --> 00:21:20,800 Speaker 1: was like, oh, I got big budget money and I'm 358 00:21:20,800 --> 00:21:23,560 Speaker 1: gonna just say yes to every director note that was 359 00:21:23,640 --> 00:21:25,720 Speaker 1: ever given to me. And it was just such a 360 00:21:25,840 --> 00:21:30,080 Speaker 1: sad like I feel like waste of what the original 361 00:21:30,240 --> 00:21:32,800 Speaker 1: art of that piece was, which was like a homage 362 00:21:32,920 --> 00:21:36,240 Speaker 1: to a community that is gentrifying, like that is still 363 00:21:36,240 --> 00:21:38,200 Speaker 1: a story that can be told today. And the way 364 00:21:38,240 --> 00:21:40,800 Speaker 1: they changed the musical was like so nasty in the movie, 365 00:21:41,760 --> 00:21:47,160 Speaker 1: I digress, So yeah, I agree, Miranda overrated. I'm sad 366 00:21:47,240 --> 00:21:50,320 Speaker 1: to say that he is overrated because I was such 367 00:21:50,400 --> 00:21:53,879 Speaker 1: a fan and now I'm like, why can't we have 368 00:21:54,040 --> 00:21:57,760 Speaker 1: any good hero I'm like, the next of all from 369 00:21:57,800 --> 00:21:59,639 Speaker 1: Grace is I don't want You're not gonna want to 370 00:21:59,640 --> 00:22:03,359 Speaker 1: Goner Cortes, you know, like it's like it's like every 371 00:22:03,440 --> 00:22:06,960 Speaker 1: single one has fallen a little bit. Gina Rotterie have 372 00:22:07,280 --> 00:22:09,680 Speaker 1: something good. We can never have a full you know, 373 00:22:09,840 --> 00:22:12,159 Speaker 1: all of our heroes are flowed like I don't I 374 00:22:12,200 --> 00:22:14,320 Speaker 1: mean Mark Antony in the chores for you know, it's 375 00:22:14,320 --> 00:22:17,359 Speaker 1: just like there's so many I guess we have. I 376 00:22:17,400 --> 00:22:19,800 Speaker 1: mean Rita Marino said, some colors ship. You know, It's 377 00:22:19,880 --> 00:22:23,600 Speaker 1: like I guess we have? Um who do we have? 378 00:22:23,760 --> 00:22:31,400 Speaker 1: Rosie Press? Like I'm like he did, yeah, exactly, Yeah, 379 00:22:31,480 --> 00:22:34,639 Speaker 1: there you go there, Tom maybe Tom Hanks, I don't know, 380 00:22:34,680 --> 00:22:38,760 Speaker 1: but his son maybe to change that. I don't know. 381 00:22:38,920 --> 00:22:41,119 Speaker 1: Do we all see Elvis? I watched it this weekend? 382 00:22:42,520 --> 00:22:48,639 Speaker 1: Wild Thanks guys. Thanks, all right, we're gonna take a 383 00:22:48,720 --> 00:23:01,639 Speaker 1: quick break. We'll be right back and we're back and 384 00:23:03,200 --> 00:23:10,120 Speaker 1: school just got a lot easier. How easy? Yeah? Look, 385 00:23:10,200 --> 00:23:12,840 Speaker 1: so there's a new AI that helps write essays. And 386 00:23:12,880 --> 00:23:15,240 Speaker 1: I just want to say, look, when I were a boy, 387 00:23:15,880 --> 00:23:18,359 Speaker 1: you know, I spent a lot of time trying to 388 00:23:18,520 --> 00:23:20,120 Speaker 1: not do a lot of school work so I could 389 00:23:20,160 --> 00:23:22,800 Speaker 1: just be outside having fun and fucking around. So that 390 00:23:22,840 --> 00:23:25,679 Speaker 1: would manifest into me being like, what's this test? Oh 391 00:23:25,760 --> 00:23:27,960 Speaker 1: that teachers old? I know how to fucking cheat on 392 00:23:28,080 --> 00:23:30,719 Speaker 1: those tests. I'll buy all the fucking old tests from 393 00:23:30,760 --> 00:23:33,840 Speaker 1: the people two classes above me who saved everything. And 394 00:23:33,920 --> 00:23:35,760 Speaker 1: it was like, this is like a commodity of my 395 00:23:35,840 --> 00:23:37,720 Speaker 1: high school. They're like, yo, you got his tests and 396 00:23:37,840 --> 00:23:39,520 Speaker 1: somebody would have him each year, and you could be like, 397 00:23:39,600 --> 00:23:41,840 Speaker 1: I'm sorry to me, this is right here. If this 398 00:23:42,000 --> 00:23:43,480 Speaker 1: is this is it. This is the whole year you 399 00:23:43,480 --> 00:23:45,320 Speaker 1: don't have to do ship. So anyway, back then it 400 00:23:45,440 --> 00:23:48,439 Speaker 1: was like old scantron's or like you could see an 401 00:23:48,480 --> 00:23:50,760 Speaker 1: old quiz to get a letter up, like as a 402 00:23:50,800 --> 00:23:54,800 Speaker 1: studying guide. But now you know that things were very 403 00:23:54,840 --> 00:23:57,560 Speaker 1: low fi back then. But now, because of all of 404 00:23:57,680 --> 00:24:01,840 Speaker 1: this fucking technology, man, we are now looking at students 405 00:24:01,920 --> 00:24:05,879 Speaker 1: being able to write whole fucking essays by sending like 406 00:24:05,960 --> 00:24:09,240 Speaker 1: by feeding this AI just by giving it a sentence 407 00:24:09,359 --> 00:24:13,280 Speaker 1: or two. And these programs allow students to create entirely 408 00:24:13,480 --> 00:24:16,920 Speaker 1: new fucking essays that can't Like traditionally you could be 409 00:24:17,000 --> 00:24:19,520 Speaker 1: like you feed it through a plagiarism detection service or 410 00:24:19,560 --> 00:24:22,480 Speaker 1: whatever software and it would try and find some similarities 411 00:24:22,480 --> 00:24:24,400 Speaker 1: and be like, ah, this is this other thing that's 412 00:24:24,440 --> 00:24:26,880 Speaker 1: on the internet with this, because it's wholly new work. 413 00:24:27,280 --> 00:24:30,240 Speaker 1: It completely conside step a lot of those things that 414 00:24:30,359 --> 00:24:34,600 Speaker 1: are in the like plagiarism detection software, and it's pretty sophisticated. 415 00:24:35,119 --> 00:24:38,280 Speaker 1: It's taking your style, like your writing style and the 416 00:24:38,359 --> 00:24:43,080 Speaker 1: information you've provided. Is it using research. I even did 417 00:24:43,119 --> 00:24:44,840 Speaker 1: a thing where I put in you know, how you 418 00:24:44,920 --> 00:24:47,640 Speaker 1: see the doc you know my writing style, like it's 419 00:24:47,720 --> 00:24:50,919 Speaker 1: very conversational. I I all caps shipped out of nowhere 420 00:24:51,000 --> 00:24:53,560 Speaker 1: for like emphasis, just like in my own head. And 421 00:24:53,640 --> 00:24:55,920 Speaker 1: I put that in there and it kind of gave 422 00:24:56,040 --> 00:24:58,960 Speaker 1: me back like a flippant story about Donald Trump and 423 00:24:59,080 --> 00:25:01,760 Speaker 1: his legal team, like not giving a funk about the 424 00:25:01,840 --> 00:25:04,800 Speaker 1: legal process. It wasn't like it didn't it didn't have 425 00:25:04,960 --> 00:25:07,920 Speaker 1: like swag, but you could tell it was trying to 426 00:25:08,080 --> 00:25:10,480 Speaker 1: do something. So in that sense, I'm like, Okay, if 427 00:25:10,520 --> 00:25:12,600 Speaker 1: you're very if you're a very creative writer, your your 428 00:25:12,600 --> 00:25:15,399 Speaker 1: ship is still safe. Um, but I just want to 429 00:25:15,400 --> 00:25:18,080 Speaker 1: show you. So there's this article in jacobin about how 430 00:25:18,160 --> 00:25:20,800 Speaker 1: Trader Joe's is also starting the union bus right now 431 00:25:20,880 --> 00:25:23,119 Speaker 1: because they are they're fucking you know, they're looking at 432 00:25:23,160 --> 00:25:25,480 Speaker 1: Starbucks and they're like, alright, homies, we know we know 433 00:25:25,600 --> 00:25:30,119 Speaker 1: the play right here, getting the unions. So this is 434 00:25:30,200 --> 00:25:32,760 Speaker 1: the This is the first two sentences from this Jacobine 435 00:25:32,800 --> 00:25:36,400 Speaker 1: article quote Trader Joe's workers in Minneapolis when their union 436 00:25:36,400 --> 00:25:39,040 Speaker 1: in a landslide vote August twelve, making there's the second 437 00:25:39,080 --> 00:25:41,960 Speaker 1: store to go with the new independent Trader Joe's United. 438 00:25:42,240 --> 00:25:44,879 Speaker 1: The wind raises the question of whether the grosser, with 439 00:25:45,000 --> 00:25:49,199 Speaker 1: its five locations and progressive image, could be the next Starbucks. 440 00:25:49,640 --> 00:25:53,119 Speaker 1: So I just put that into the fucking machine. It 441 00:25:53,240 --> 00:25:55,600 Speaker 1: gave me back two more paragraphs, but I'm just gonna 442 00:25:55,600 --> 00:25:57,520 Speaker 1: read you the first paragraph and a half. So this 443 00:25:57,640 --> 00:26:00,280 Speaker 1: is how it's wanted to continue what we just at it. 444 00:26:00,880 --> 00:26:04,399 Speaker 1: And that's no small feat. Last year, Starbucks Barista's notched 445 00:26:04,440 --> 00:26:06,920 Speaker 1: a huge victory when the coffee chain agreed to pay 446 00:26:07,000 --> 00:26:09,240 Speaker 1: higher wages and give workers to say over the chain 447 00:26:09,359 --> 00:26:12,439 Speaker 1: social media policies. But unlike Starbucks, which is a global 448 00:26:12,520 --> 00:26:15,440 Speaker 1: chain with thousands of locations. Trader Joe's only has about 449 00:26:15,480 --> 00:26:18,520 Speaker 1: fent of the grocery market, reports to Los Angeles Times. 450 00:26:18,800 --> 00:26:22,040 Speaker 1: Standalone non unionized shops are actually more common with the grocer, 451 00:26:22,240 --> 00:26:24,399 Speaker 1: which has opened about fifty shops in cities over the 452 00:26:24,480 --> 00:26:27,080 Speaker 1: last year. That's fucking AI that just kept going with that, 453 00:26:27,160 --> 00:26:32,200 Speaker 1: and granted analysis that stuff is all true. They aren't 454 00:26:32,200 --> 00:26:34,600 Speaker 1: just making that up. They're like pulling that off the Internet. 455 00:26:35,000 --> 00:26:37,720 Speaker 1: What's what's the in? Pull from other articles and it 456 00:26:37,720 --> 00:26:41,879 Speaker 1: will even tell you were pulled from Wow, and you 457 00:26:41,960 --> 00:26:44,399 Speaker 1: can and you can alter ship to right, like you 458 00:26:44,480 --> 00:26:48,600 Speaker 1: can dumb your ship down. So let's say, you know, obviously, 459 00:26:49,480 --> 00:26:51,440 Speaker 1: you know an article like that is probably not for 460 00:26:51,800 --> 00:26:55,040 Speaker 1: Mrs schul sixth grade English class, But like, if you 461 00:26:55,119 --> 00:26:59,080 Speaker 1: wanted to, you could put in a very very simple, 462 00:26:59,800 --> 00:27:03,240 Speaker 1: like dry explanation of the themes in the Disney film 463 00:27:03,320 --> 00:27:05,159 Speaker 1: toy story and it will come back to you with 464 00:27:05,320 --> 00:27:11,119 Speaker 1: about the same level of like rhetorical style. I don't know, 465 00:27:11,200 --> 00:27:13,440 Speaker 1: I think you could turn that Jacobin thing into miss 466 00:27:13,480 --> 00:27:17,320 Speaker 1: Schultz and she'd be she'd just be like, whoa damn okay, 467 00:27:17,920 --> 00:27:24,680 Speaker 1: all right, I'm Columbia's journalism school. I was passing love 468 00:27:24,800 --> 00:27:28,040 Speaker 1: letters and being a class clown. So I'm like thinking now, 469 00:27:28,160 --> 00:27:31,400 Speaker 1: like I would ay, I would have helped me, right right. 470 00:27:31,960 --> 00:27:34,000 Speaker 1: He's probably like I would pass a note to someone 471 00:27:34,080 --> 00:27:35,920 Speaker 1: and she'd be like she opens it up and reads 472 00:27:35,960 --> 00:27:40,240 Speaker 1: it and says, like, wherefore art thou? Jessica Rodriguez? What light? 473 00:27:40,960 --> 00:27:44,040 Speaker 1: What light? From her school desk? Here? Wrath? Right now, 474 00:27:44,400 --> 00:27:47,280 Speaker 1: give me like two sentences from a wrath in sixth 475 00:27:47,320 --> 00:27:50,199 Speaker 1: grade love letter, and we'll let this ship continue. Let 476 00:27:50,280 --> 00:27:53,440 Speaker 1: it come, dear, what what's her name? Jessica? You said? Oh, man, 477 00:27:53,600 --> 00:27:59,240 Speaker 1: Jessica Rodriguez. My god, Jessica, I have a crush on you. 478 00:27:59,400 --> 00:28:04,359 Speaker 1: Are we allowed? Like he's like year old, think about 479 00:28:05,200 --> 00:28:07,879 Speaker 1: We'll just okay, we'll pretend we could well, well, we'll 480 00:28:07,920 --> 00:28:17,080 Speaker 1: just I Jessica, Okay, I have a crush on you. 481 00:28:17,560 --> 00:28:23,320 Speaker 1: You are the most beautiful student at school. It was 482 00:28:23,400 --> 00:28:28,480 Speaker 1: funny too, she was so funny and you are so funny. 483 00:28:31,400 --> 00:28:33,240 Speaker 1: I'm just gonna give it that, Dear Jessica, I have 484 00:28:33,280 --> 00:28:35,399 Speaker 1: a crush on you. You're the most beautiful student at school, 485 00:28:35,400 --> 00:28:38,960 Speaker 1: and you are so funny. It's going to continue with drumroll, 486 00:28:39,040 --> 00:28:41,320 Speaker 1: please you cheer me up when I am sad. I 487 00:28:41,440 --> 00:28:44,120 Speaker 1: hope you can like me. Sean showed the card to 488 00:28:44,200 --> 00:28:46,200 Speaker 1: my mother and she said, okay, now it's getting back. 489 00:28:47,240 --> 00:28:50,960 Speaker 1: She just got real aggressively started writing, like details into 490 00:28:51,040 --> 00:28:53,240 Speaker 1: your life. Oh so now it's doing a story. I said, 491 00:28:53,280 --> 00:28:55,200 Speaker 1: So you said, dear just kind of crushing You're so funny. 492 00:28:55,240 --> 00:28:57,600 Speaker 1: Then said, would you ever go out with me? Susie? 493 00:28:57,800 --> 00:29:00,560 Speaker 1: But then they said Susie's heart starts beating faster. She 494 00:29:00,680 --> 00:29:02,880 Speaker 1: thinks for a moment and then writes, dear, Mark, thanks 495 00:29:02,920 --> 00:29:07,560 Speaker 1: for the nice poem. You know they're going to monetize 496 00:29:07,600 --> 00:29:09,719 Speaker 1: this and they'll be like an ad in it. Like Jessica, 497 00:29:09,880 --> 00:29:13,040 Speaker 1: you may also be in need of a discount, right, 498 00:29:13,480 --> 00:29:16,280 Speaker 1: just shifted to fiction. But okay, So on one hand, 499 00:29:16,400 --> 00:29:20,160 Speaker 1: it might seem like that is the AI breaking down. 500 00:29:20,480 --> 00:29:23,840 Speaker 1: On the other hand, it could be a brilliant hedge 501 00:29:24,400 --> 00:29:26,960 Speaker 1: where that just comes up in the middle of the thing. 502 00:29:27,640 --> 00:29:32,080 Speaker 1: And so if Jessica is like, nah, you're like no, 503 00:29:32,200 --> 00:29:34,600 Speaker 1: I was just showing you a short story. I wrote, 504 00:29:35,160 --> 00:29:38,320 Speaker 1: why are you acting like I meant this? That's kind 505 00:29:38,400 --> 00:29:42,200 Speaker 1: of AI is the ultimate wing man. Yeah, like four 506 00:29:42,280 --> 00:29:45,080 Speaker 1: dimensional chess. So this is kind of like brought up 507 00:29:45,120 --> 00:29:48,720 Speaker 1: a whole debate with educators because they're like, what the 508 00:29:48,800 --> 00:29:51,640 Speaker 1: fund are we supposed to do? Like doing it shift 509 00:29:51,760 --> 00:29:55,520 Speaker 1: policies now to say, like using AI is against the 510 00:29:55,800 --> 00:29:58,400 Speaker 1: fucking ethos of the school. Funk around with it and 511 00:29:58,520 --> 00:30:00,520 Speaker 1: if we find out, you will find out as well. 512 00:30:00,600 --> 00:30:02,160 Speaker 1: But then they're like, we also don't want to put 513 00:30:02,200 --> 00:30:04,880 Speaker 1: it in students heads that this is a normal ship 514 00:30:05,040 --> 00:30:07,480 Speaker 1: that they can start using. Then other people are like, 515 00:30:07,520 --> 00:30:09,400 Speaker 1: well what are the limits, right, because people use spell 516 00:30:09,520 --> 00:30:13,800 Speaker 1: spell check or other like sort of like smart tools 517 00:30:13,880 --> 00:30:18,160 Speaker 1: that helped the people's writing, and that detects plagiarism. So 518 00:30:18,320 --> 00:30:21,200 Speaker 1: this is just the latest salvo in the arms war 519 00:30:21,320 --> 00:30:24,480 Speaker 1: between students and teachers. The old school way was you 520 00:30:24,560 --> 00:30:27,720 Speaker 1: feed your ship to the plagiarism thing and then you 521 00:30:27,800 --> 00:30:30,160 Speaker 1: swag up every sentence. So now it's not it's not 522 00:30:30,200 --> 00:30:32,160 Speaker 1: going to hit anymore on that that used. That was like, 523 00:30:32,280 --> 00:30:34,800 Speaker 1: I think the way to grind it out using sky 524 00:30:35,000 --> 00:30:36,800 Speaker 1: ship back in the day. But now we're looking at 525 00:30:36,840 --> 00:30:40,440 Speaker 1: just here's three topics. I need you know. It's about these. 526 00:30:40,480 --> 00:30:43,280 Speaker 1: If you like, if the first paragraph is succinct enough, 527 00:30:43,360 --> 00:30:45,560 Speaker 1: it can kind of know where you're headed. Maybe this 528 00:30:45,800 --> 00:30:50,560 Speaker 1: is the new phase of education because you have the 529 00:30:50,720 --> 00:30:52,840 Speaker 1: article generated, but then you have to go in fact 530 00:30:52,960 --> 00:30:55,800 Speaker 1: check the article that was generated for you. So you 531 00:30:55,920 --> 00:30:58,960 Speaker 1: go and relate the entire l A Times article to 532 00:30:59,040 --> 00:31:01,360 Speaker 1: make sure that it's giving and accurate. So it's just 533 00:31:01,480 --> 00:31:05,920 Speaker 1: basically generating research work for you without without doing the 534 00:31:06,840 --> 00:31:11,040 Speaker 1: right with the newest kind of curriculum and education through 535 00:31:11,120 --> 00:31:13,880 Speaker 1: like common cork and have a kid, and it is 536 00:31:13,960 --> 00:31:16,920 Speaker 1: to to not just go and find facts and regurgitate them, 537 00:31:17,040 --> 00:31:20,760 Speaker 1: but to actually be a journalist and get multiple sources 538 00:31:20,840 --> 00:31:24,880 Speaker 1: around places and and actually report back on what society 539 00:31:25,040 --> 00:31:27,560 Speaker 1: was thinking of that moment, what we're the opposing viewpoints. 540 00:31:27,600 --> 00:31:30,800 Speaker 1: So I could see I could see a creative kind 541 00:31:30,840 --> 00:31:33,120 Speaker 1: of curriculum that can kind of pull this in, but 542 00:31:33,320 --> 00:31:36,400 Speaker 1: it's still it's still pretty frightening, right, And that's when 543 00:31:36,480 --> 00:31:39,200 Speaker 1: that's the other thing educators are asking themselves. It's like, 544 00:31:39,440 --> 00:31:41,640 Speaker 1: you know, some people are like, well, maybe the way 545 00:31:41,720 --> 00:31:44,560 Speaker 1: we're educating kids needs to change if it's as simple 546 00:31:44,560 --> 00:31:46,480 Speaker 1: as feeding in AI and we need to think a 547 00:31:46,560 --> 00:31:50,240 Speaker 1: little bit more with our brains here to find new 548 00:31:50,320 --> 00:31:53,800 Speaker 1: ways to begin to say, Okay, this assignment means you 549 00:31:53,880 --> 00:31:58,120 Speaker 1: have actually understood the curriculum, like how to operate in 550 00:31:58,440 --> 00:32:00,920 Speaker 1: a new world? Right, that's where're trying to educate them for, 551 00:32:01,360 --> 00:32:08,440 Speaker 1: So you're they know how to plagiarize with your step behind. Yeah, yeah, 552 00:32:08,520 --> 00:32:11,680 Speaker 1: I mean the new common Core ship is really messing 553 00:32:11,720 --> 00:32:13,600 Speaker 1: me on. I'm in the midst of a massive cover 554 00:32:13,800 --> 00:32:15,720 Speaker 1: up with my six year old is trying to is 555 00:32:15,760 --> 00:32:19,040 Speaker 1: going through files trying to prove that Santa Claus doesn't exist. 556 00:32:19,160 --> 00:32:23,440 Speaker 1: And they call it the right calls the comedy Core, 557 00:32:23,520 --> 00:32:27,880 Speaker 1: which isn't really funny. What do you mean everyone in 558 00:32:27,960 --> 00:32:32,000 Speaker 1: the country has to learn the same thing. Yeah, But 559 00:32:32,080 --> 00:32:34,320 Speaker 1: then I get yeah, I mean I wonder if I'm 560 00:32:34,360 --> 00:32:36,240 Speaker 1: trying to think of what I mean. Look, I'm not 561 00:32:36,280 --> 00:32:38,080 Speaker 1: an educator, so there's no way I could have a 562 00:32:38,160 --> 00:32:42,160 Speaker 1: constructive idea to help they navigate this. But it does 563 00:32:42,280 --> 00:32:44,320 Speaker 1: feel like, yeah, I guess if if it is that 564 00:32:44,480 --> 00:32:47,120 Speaker 1: easy to just merely say, okay, you want me to 565 00:32:47,160 --> 00:32:51,200 Speaker 1: write something watch this, then what is that next step? 566 00:32:51,840 --> 00:32:53,680 Speaker 1: I know plenty of educators was in the show. Please 567 00:32:53,720 --> 00:32:57,400 Speaker 1: let me know. Are y'all worried? Right? Is everything changing 568 00:32:57,480 --> 00:32:59,680 Speaker 1: so rapidly or like that's the least of their problems 569 00:32:59,800 --> 00:33:05,360 Speaker 1: or them? Yeah, Like do if they use this. I'm 570 00:33:05,400 --> 00:33:07,680 Speaker 1: just trying to picture a way to take this into 571 00:33:07,720 --> 00:33:11,680 Speaker 1: account and still have them learn, you know, because that 572 00:33:12,120 --> 00:33:14,560 Speaker 1: that is if if it's doing a good job of 573 00:33:14,680 --> 00:33:19,000 Speaker 1: sourcing the articles, that is a way of finding articles 574 00:33:19,440 --> 00:33:21,920 Speaker 1: you know that are relevant to the subject that you're 575 00:33:21,960 --> 00:33:25,360 Speaker 1: talking about, that is just easier, right, So that but 576 00:33:25,520 --> 00:33:27,520 Speaker 1: you do have to fact check them. I guess there's 577 00:33:27,560 --> 00:33:30,160 Speaker 1: this other social thing that's going to occur, I imagine, 578 00:33:30,200 --> 00:33:33,440 Speaker 1: because it's what are what's the algorithm, what is it doing? 579 00:33:33,480 --> 00:33:36,560 Speaker 1: How is it weighing what it's finding? If just something 580 00:33:36,680 --> 00:33:39,719 Speaker 1: is repeated enough on on large accounts, does that make 581 00:33:39,800 --> 00:33:43,240 Speaker 1: it true? You know? And now it's just regurgitating things 582 00:33:43,320 --> 00:33:47,640 Speaker 1: just because you know, very powerful like sites or entities 583 00:33:47,720 --> 00:33:49,720 Speaker 1: kind of repeated the same the same thing, I know, 584 00:33:49,800 --> 00:33:53,840 Speaker 1: like Amazon composing Amazon they send can they know that 585 00:33:54,080 --> 00:33:57,719 Speaker 1: local journalists are really like on a true string budget 586 00:33:57,760 --> 00:33:59,880 Speaker 1: and they don't have time, so they send them can 587 00:34:00,040 --> 00:34:02,240 Speaker 1: end reports and canned footage and it makes it and 588 00:34:02,280 --> 00:34:04,760 Speaker 1: then they reported out like it's almost like like you 589 00:34:04,800 --> 00:34:08,560 Speaker 1: spoke yesterday about capaganda. It's also like the corporaganda where 590 00:34:08,640 --> 00:34:11,400 Speaker 1: they they just make it look like they were inside 591 00:34:11,440 --> 00:34:14,600 Speaker 1: this Amazon facility and everyone loves working there and everyone's fine, 592 00:34:15,239 --> 00:34:18,239 Speaker 1: when really they just regurgitated something written for them and 593 00:34:18,560 --> 00:34:21,040 Speaker 1: you know, played a video that was given to them, right, 594 00:34:21,080 --> 00:34:24,160 Speaker 1: because it's a cheap way to generate what what appears 595 00:34:24,200 --> 00:34:27,720 Speaker 1: to be objective reporting, So it's basically doing the exact 596 00:34:27,760 --> 00:34:30,399 Speaker 1: same thing. This is going to have impact that way. 597 00:34:30,480 --> 00:34:32,920 Speaker 1: I think it's gonna start. It's an echo chamber, is 598 00:34:32,920 --> 00:34:36,640 Speaker 1: going to be on steroids. I just wow. I was 599 00:34:36,719 --> 00:34:39,000 Speaker 1: just tinkering with the toys in this AI because you 600 00:34:39,040 --> 00:34:41,160 Speaker 1: could have it do different styles. You're like, yo, I 601 00:34:41,200 --> 00:34:46,320 Speaker 1: want something fantastical, upbeat, authoritative, conflictive, sensual, romantic. I switched 602 00:34:46,600 --> 00:34:49,439 Speaker 1: your opponent your line to romantic and said, dear Jessic, 603 00:34:49,480 --> 00:34:51,160 Speaker 1: I have a crush and you're the most beautiful student 604 00:34:51,160 --> 00:34:53,000 Speaker 1: at school and you are so funny. I don't know 605 00:34:53,040 --> 00:34:54,520 Speaker 1: if you feel the same way about me, but I 606 00:34:54,600 --> 00:34:55,960 Speaker 1: just wanted to let you know how I feel. I 607 00:34:56,000 --> 00:34:58,240 Speaker 1: hope you have a great day. Sincerely, your secret admirer. 608 00:34:58,440 --> 00:35:02,840 Speaker 1: Get the fun nailed it, I mean, kill it. Like 609 00:35:04,200 --> 00:35:10,600 Speaker 1: they provided emotional transparency, emotional maturity to like I mean, 610 00:35:11,160 --> 00:35:14,879 Speaker 1: and then they were like his Netflix quay matches yours 611 00:35:14,960 --> 00:35:22,759 Speaker 1: please subscribe. So yes, oh man just shows you Rocky Road, 612 00:35:22,880 --> 00:35:25,200 Speaker 1: Rocky Road Ahead. Can you imagine? Because then I also 613 00:35:25,200 --> 00:35:27,360 Speaker 1: see like a version two or like every you know, 614 00:35:27,480 --> 00:35:30,560 Speaker 1: like men are so fucking bad at expressing themselves they 615 00:35:30,600 --> 00:35:36,960 Speaker 1: start relying on AI and ship just stop talking. Yeah, absolutely, 616 00:35:37,040 --> 00:35:39,880 Speaker 1: that just proves were absolutely, just like curriculum is obsolete. 617 00:35:41,040 --> 00:35:44,080 Speaker 1: This episode is brought to you by a recurring segment 618 00:35:44,360 --> 00:35:47,080 Speaker 1: brought to you by Rocky Road ice Cream from hogin Dahs. 619 00:35:47,239 --> 00:35:50,360 Speaker 1: It's the Rocky Road evidence of a Rocky Road ahead. 620 00:35:50,760 --> 00:35:53,520 Speaker 1: And what goes better with Rocky Road than some delicious 621 00:35:53,600 --> 00:35:57,200 Speaker 1: Rocky Road ice cream? And they all and they use 622 00:35:58,040 --> 00:36:02,480 Speaker 1: organic dairy cream, so you know, shout out them, shout 623 00:36:02,520 --> 00:36:07,200 Speaker 1: out the sponsors for this week's Rocky Road. This week's 624 00:36:07,200 --> 00:36:09,799 Speaker 1: saying that this this week's Rocky Road is Brad Tea back. 625 00:36:10,400 --> 00:36:12,640 Speaker 1: I can only hear him Bill Simmons's voice every time 626 00:36:12,680 --> 00:36:18,040 Speaker 1: there's like a branded segment. Anyways, Republicans not quite sure 627 00:36:18,120 --> 00:36:21,040 Speaker 1: to campaign. I think they have figured out what not 628 00:36:21,239 --> 00:36:25,960 Speaker 1: to campaign on, but there they don't have anything to 629 00:36:26,040 --> 00:36:30,399 Speaker 1: really replace it. Speaking of AI, yeah, you've fed all 630 00:36:30,480 --> 00:36:33,960 Speaker 1: the GOP talking points from two thousand nine, even before 631 00:36:34,239 --> 00:36:36,200 Speaker 1: from the nineties to today, and you asked it to 632 00:36:36,239 --> 00:36:39,399 Speaker 1: create a sentence, it would say Obama Care is bad, 633 00:36:39,640 --> 00:36:43,720 Speaker 1: healthcare should be replaced with guns. Abortion is the worst 634 00:36:43,760 --> 00:36:47,560 Speaker 1: thing to ever happen. And that's all they're consistent with. 635 00:36:48,080 --> 00:36:51,279 Speaker 1: That's literally, like quite simply a few things they've been 636 00:36:51,400 --> 00:36:54,160 Speaker 1: really consistent on. And these, again, these aren't the words 637 00:36:54,160 --> 00:36:56,160 Speaker 1: of a party that are interested in trying to lead 638 00:36:56,200 --> 00:36:59,560 Speaker 1: the country into some positive future. Obviously, but we already 639 00:36:59,600 --> 00:37:02,080 Speaker 1: knew that. But when you couple that with like the 640 00:37:02,200 --> 00:37:05,720 Speaker 1: results in recent special elections, especially since the DABS decision, 641 00:37:06,160 --> 00:37:08,239 Speaker 1: and you look that you have a group of people 642 00:37:08,320 --> 00:37:11,120 Speaker 1: that are trying to figure out like a thing they 643 00:37:11,280 --> 00:37:15,800 Speaker 1: can talk about that won't be spectacularly unpopular. You know, 644 00:37:15,960 --> 00:37:18,600 Speaker 1: so many of the Republicans now like that, you know, 645 00:37:18,680 --> 00:37:20,120 Speaker 1: that are trying to make a red wave of this. 646 00:37:20,239 --> 00:37:24,280 Speaker 1: November we talked about another candidate who like completely sanitized 647 00:37:24,320 --> 00:37:26,600 Speaker 1: his website. It's like a board. I've never heard of 648 00:37:26,680 --> 00:37:30,000 Speaker 1: nothing about the forced birth never. No, don't don't tell 649 00:37:30,040 --> 00:37:32,040 Speaker 1: me about that. Don't look. Don't go on the way 650 00:37:32,120 --> 00:37:34,680 Speaker 1: back machine either or the Internet archive and see an old, 651 00:37:34,760 --> 00:37:37,800 Speaker 1: cashed version of this website that says the opposite, but 652 00:37:38,040 --> 00:37:41,120 Speaker 1: many of like the kill Obamacare crowd, have had to 653 00:37:41,320 --> 00:37:45,240 Speaker 1: pivot to well, I'm definitely into protections for pre existing conditions. 654 00:37:45,320 --> 00:37:47,719 Speaker 1: I mean, let me get that much straight at minimum, 655 00:37:48,200 --> 00:37:51,480 Speaker 1: And like the forced birth fanatics are also have not 656 00:37:51,800 --> 00:37:55,600 Speaker 1: said a single thing out loud in public, and it's 657 00:37:55,640 --> 00:37:57,560 Speaker 1: just odd, you know, Well, look, a c A has 658 00:37:57,600 --> 00:37:59,759 Speaker 1: become more and more popular over the years, and some 659 00:38:00,200 --> 00:38:03,080 Speaker 1: trying to use like racist dog whistles like Obama Care 660 00:38:03,280 --> 00:38:06,839 Speaker 1: like are no longer connecting. And we've yet to see 661 00:38:06,880 --> 00:38:10,000 Speaker 1: anything resembling what a Republican healthcare policy would look like. 662 00:38:10,160 --> 00:38:11,880 Speaker 1: We don't have to guess. It would just be all 663 00:38:12,000 --> 00:38:14,400 Speaker 1: privatized everything, you know what I mean. And then it's like, 664 00:38:14,440 --> 00:38:17,160 Speaker 1: I don't know, did you ask Jeff Bezos? Uh? If 665 00:38:17,239 --> 00:38:20,680 Speaker 1: you know if you deserve more hypodermic needles? Yeah, your 666 00:38:20,680 --> 00:38:24,840 Speaker 1: physical brought to you by Amazon and by Amazon. Yeah. Like, 667 00:38:24,920 --> 00:38:26,680 Speaker 1: in the middle of the eye test, you gotta watch 668 00:38:26,719 --> 00:38:28,399 Speaker 1: a fucking trailer from Lord of the Rings and Ship. 669 00:38:28,680 --> 00:38:30,920 Speaker 1: You're like, what the fuck? They're like, Okay, who do 670 00:38:31,000 --> 00:38:35,680 Speaker 1: you see? I don't know, people with bad vision love 671 00:38:35,800 --> 00:38:41,560 Speaker 1: this movie. But like a few consultants on that side. 672 00:38:41,600 --> 00:38:44,440 Speaker 1: They've all said, we really got to steer the conversation 673 00:38:44,560 --> 00:38:48,360 Speaker 1: back to gas prices and inflation. But the main issue 674 00:38:48,400 --> 00:38:50,600 Speaker 1: for voters, as we've seen in like a lot of 675 00:38:50,680 --> 00:38:53,680 Speaker 1: the just any when ask around going into November, seems 676 00:38:53,680 --> 00:38:56,960 Speaker 1: to be all about healthcare and abortion, a realm where 677 00:38:57,040 --> 00:39:00,839 Speaker 1: they are just ethically unfit to just us with non 678 00:39:00,920 --> 00:39:04,160 Speaker 1: ghoul type people. So it's like, I mean, I get 679 00:39:04,200 --> 00:39:06,080 Speaker 1: that the voters suppression ship. It was probably gonna be 680 00:39:06,120 --> 00:39:09,200 Speaker 1: on their side in certain instances, but it's it's it's 681 00:39:09,239 --> 00:39:11,799 Speaker 1: just interesting to watch like them be like fun man, 682 00:39:11,880 --> 00:39:14,080 Speaker 1: we've been saying this ship for so long now. Most 683 00:39:14,120 --> 00:39:17,279 Speaker 1: people are like, actually, I would like to have like 684 00:39:17,320 --> 00:39:20,200 Speaker 1: I would like to not go bankrupt because I have diabetes, 685 00:39:21,160 --> 00:39:24,640 Speaker 1: and they're like ship, um m hmmm, Okay, let's just 686 00:39:24,680 --> 00:39:29,320 Speaker 1: shut the funk up about it, and you know, allowed 687 00:39:29,560 --> 00:39:32,320 Speaker 1: the opponents to create the conversation. The worst part of 688 00:39:32,400 --> 00:39:35,640 Speaker 1: that is that the more Republicans do that, the more 689 00:39:35,680 --> 00:39:38,360 Speaker 1: Democrats feel they have they don't have to do anything exactly. 690 00:39:38,719 --> 00:39:41,440 Speaker 1: It's so buddy like he campaign on canceling like all 691 00:39:41,520 --> 00:39:44,040 Speaker 1: of the students that he just yeah, and then the 692 00:39:44,080 --> 00:39:47,160 Speaker 1: average is like thirty three dollars and now you know. 693 00:39:47,680 --> 00:39:50,000 Speaker 1: Now it's like, yeah, let me take that back. How 694 00:39:50,040 --> 00:39:53,000 Speaker 1: about how about we wet your beak a little bit. Yeah, 695 00:39:53,520 --> 00:39:56,800 Speaker 1: right exactly. It's like, I might you guys might be 696 00:39:56,920 --> 00:39:58,799 Speaker 1: desperate enough. I could get you. I could get through 697 00:39:59,680 --> 00:40:01,719 Speaker 1: four this ship too. I don't want to give you 698 00:40:01,760 --> 00:40:03,799 Speaker 1: all everyone. I went back to the boss and they 699 00:40:03,880 --> 00:40:07,440 Speaker 1: couldn't really figure out that number. Yeah, by the way, 700 00:40:07,520 --> 00:40:13,120 Speaker 1: that eviction protection thing, Yeah, let's let's get rid of that. Right. 701 00:40:13,640 --> 00:40:16,160 Speaker 1: It seems like everybody is waiting up to the fact 702 00:40:16,239 --> 00:40:20,600 Speaker 1: that they're in favor of leftist policies that are helpful 703 00:40:20,719 --> 00:40:25,120 Speaker 1: to the vast majority of people. But they again, there 704 00:40:25,280 --> 00:40:28,799 Speaker 1: is an allergy to being at least self consciously socialists, 705 00:40:28,960 --> 00:40:32,120 Speaker 1: like being conscious that you that you support a leftist. 706 00:40:32,760 --> 00:40:36,000 Speaker 1: How right wingers actually get away with calling Biden and 707 00:40:36,280 --> 00:40:40,839 Speaker 1: the centrist Wall Street Democrats left because that erases the left, 708 00:40:40,920 --> 00:40:43,960 Speaker 1: Because if if the left was platformed in any way 709 00:40:44,000 --> 00:40:46,200 Speaker 1: in this country, there would be a lot it would 710 00:40:46,239 --> 00:40:48,120 Speaker 1: we would resonate with a lot of people because we 711 00:40:48,160 --> 00:40:51,640 Speaker 1: would be talking about material needs that appeal to basically everybody. 712 00:40:51,880 --> 00:40:56,080 Speaker 1: People's ears would be smoking and their TVs would explode. Well, 713 00:40:56,120 --> 00:40:59,520 Speaker 1: actually there is a we. We've mentioned before, there is 714 00:40:59,600 --> 00:41:02,720 Speaker 1: a move in the Democratic Party to offer an alternative. 715 00:41:03,239 --> 00:41:07,760 Speaker 1: I don't know. Yeah, well, I guess it's both parties 716 00:41:07,840 --> 00:41:14,040 Speaker 1: coming together together different option. That is the Andrew Yang we, 717 00:41:14,840 --> 00:41:18,919 Speaker 1: the whatever party, and the whatever the Democrats are too 718 00:41:19,040 --> 00:41:22,600 Speaker 1: far left policy party. So the last time I was here, 719 00:41:22,600 --> 00:41:25,680 Speaker 1: I spoke about Yang when he was running for mayor 720 00:41:25,719 --> 00:41:28,200 Speaker 1: of New York and we were talking about why, how 721 00:41:28,280 --> 00:41:31,440 Speaker 1: awful it would be to hire to like the AI 722 00:41:31,719 --> 00:41:34,920 Speaker 1: president who was still modeling how to pick up a banana. 723 00:41:36,040 --> 00:41:38,440 Speaker 1: That's right, that's right, how to buy a banana? And 724 00:41:39,600 --> 00:41:42,920 Speaker 1: oh man, when we criticize that, immediately like a few 725 00:41:43,000 --> 00:41:46,000 Speaker 1: hours later, corrected just like an AI would and went 726 00:41:46,040 --> 00:41:48,080 Speaker 1: and actually found a real bodega and was like, I 727 00:41:48,200 --> 00:41:53,480 Speaker 1: am now in a body like hilarious, nice try, I 728 00:41:53,560 --> 00:41:57,960 Speaker 1: am now y'all have loose new Ports or not in here, 729 00:41:58,200 --> 00:42:06,360 Speaker 1: my guys, for a loose Newport localized? My god, just 730 00:42:06,480 --> 00:42:09,680 Speaker 1: set into the Yeah. The it's so funny that that 731 00:42:09,840 --> 00:42:12,799 Speaker 1: keeps coming back and getting people is just the inability 732 00:42:12,960 --> 00:42:15,520 Speaker 1: to shop in grocery stores, to even like exist in 733 00:42:15,600 --> 00:42:19,200 Speaker 1: a grocery store. It's because like this kind of clean 734 00:42:19,280 --> 00:42:22,720 Speaker 1: slate that he wants to present and like they're presenting 735 00:42:22,800 --> 00:42:26,680 Speaker 1: this party, the Forward Party, as the Forward party. That's right. Sorry, 736 00:42:26,719 --> 00:42:30,080 Speaker 1: it's not it's not right, it's forward. Which one else 737 00:42:30,120 --> 00:42:33,759 Speaker 1: do we have to explain? I mean, so, what are 738 00:42:33,800 --> 00:42:36,160 Speaker 1: the policies and left that you're too critical of? Well, 739 00:42:36,480 --> 00:42:38,560 Speaker 1: so the thing you have to understands we're not left 740 00:42:38,880 --> 00:42:41,080 Speaker 1: and we're not right, We're forward. That's the only time 741 00:42:41,120 --> 00:42:44,200 Speaker 1: I've heard that. The Only problem is every single person 742 00:42:44,280 --> 00:42:47,240 Speaker 1: behind it is a right winger, either Trump right winger 743 00:42:47,560 --> 00:42:51,040 Speaker 1: or neo Khan like warmonger from the Iraq era, from 744 00:42:51,040 --> 00:42:54,440 Speaker 1: the Bush era, from the Bloomberg era, stuff, like all 745 00:42:54,520 --> 00:42:59,160 Speaker 1: of them. There's one Governor Christy Todd Whitman. She was 746 00:42:59,280 --> 00:43:04,400 Speaker 1: infamous for were stopping a black New Jersey and on 747 00:43:04,600 --> 00:43:06,759 Speaker 1: the street with police, with state troopers so that you 748 00:43:06,800 --> 00:43:10,040 Speaker 1: could get a photo app of herself frisking him. Wow. 749 00:43:10,719 --> 00:43:12,759 Speaker 1: You know, like these are the type of the people 750 00:43:12,800 --> 00:43:17,840 Speaker 1: who fought healthcare for, fought right abortion rights, fought everything, 751 00:43:17,880 --> 00:43:20,680 Speaker 1: and now they're they're like costs playing is this thing 752 00:43:20,719 --> 00:43:23,279 Speaker 1: in order to siphon off? And I've seen like I 753 00:43:23,360 --> 00:43:26,480 Speaker 1: actually have this mixed kind of relationship with Yang supporters. 754 00:43:26,760 --> 00:43:28,839 Speaker 1: A lot of them are new to politics, and they 755 00:43:29,280 --> 00:43:31,239 Speaker 1: he kind of makes sense to someone who's just like 756 00:43:31,320 --> 00:43:36,399 Speaker 1: peeking in. It's like, oh, logical, he's gonna gonna be organizing. Yeah, 757 00:43:36,400 --> 00:43:38,440 Speaker 1: we have the same thing. During the election, a lot 758 00:43:38,520 --> 00:43:40,720 Speaker 1: of people were like, you actually need to give Yang 759 00:43:40,760 --> 00:43:43,160 Speaker 1: a more of a shot. But when you do talk 760 00:43:43,239 --> 00:43:45,600 Speaker 1: to them and you give them space and you actually 761 00:43:46,120 --> 00:43:48,680 Speaker 1: they like logic and they like things portrayed that way. 762 00:43:48,719 --> 00:43:50,759 Speaker 1: So when you do. This is the one group that 763 00:43:51,320 --> 00:43:53,319 Speaker 1: I don't feel like most of them are driven by 764 00:43:53,400 --> 00:43:57,880 Speaker 1: like some hidden agenda like racism or far right ideology. 765 00:43:57,920 --> 00:43:59,879 Speaker 1: I don't think many of them are. I think they're 766 00:43:59,880 --> 00:44:03,120 Speaker 1: actually just low information and just getting in, and there's 767 00:44:03,160 --> 00:44:06,160 Speaker 1: a great opportunity to really just be like, Okay, that's 768 00:44:06,200 --> 00:44:08,279 Speaker 1: how you want to talk, let me bullet point this 769 00:44:08,440 --> 00:44:11,120 Speaker 1: for you. And I've had a lot of success, a 770 00:44:11,200 --> 00:44:14,840 Speaker 1: lot of success with that right and it's because I 771 00:44:14,880 --> 00:44:18,680 Speaker 1: mean it's so vague. Everything's so vague that I think 772 00:44:18,719 --> 00:44:20,879 Speaker 1: if it probably does act as like a roor Schack 773 00:44:20,960 --> 00:44:24,160 Speaker 1: test for like someone who's newly engaging with politics, where 774 00:44:24,160 --> 00:44:25,960 Speaker 1: you might come like, I don't know, both of the 775 00:44:26,040 --> 00:44:28,920 Speaker 1: main parties seemed dumb and this one what's there? Like 776 00:44:29,160 --> 00:44:32,160 Speaker 1: there the center like the first the landing page. After 777 00:44:32,320 --> 00:44:34,840 Speaker 1: years of working in parallel to United Americans and strengthen 778 00:44:34,920 --> 00:44:38,360 Speaker 1: our democracy, the Forward Party, the Renew America Movement, and 779 00:44:38,440 --> 00:44:40,839 Speaker 1: the Serve American Movement are pleased to announce the formal 780 00:44:40,960 --> 00:44:43,520 Speaker 1: merge of our three organizations. We are coming together from 781 00:44:43,560 --> 00:44:46,160 Speaker 1: a clock across the political spectrum to build a new 782 00:44:46,440 --> 00:44:50,200 Speaker 1: and transformational American political party blah blah blah, operating under 783 00:44:50,239 --> 00:44:52,279 Speaker 1: one name Forward. I mean again, I think with this 784 00:44:52,520 --> 00:44:55,320 Speaker 1: is it's that the smart Republicans are like, Bro, this 785 00:44:55,480 --> 00:44:57,719 Speaker 1: brand is getting toxic, and you need to find a 786 00:44:57,800 --> 00:44:59,840 Speaker 1: way to get some people that are gonna not go 787 00:45:00,239 --> 00:45:04,719 Speaker 1: full left but give them something that sounds fucking flowery. 788 00:45:04,880 --> 00:45:06,719 Speaker 1: But we'll give them funk all in the end. But 789 00:45:06,920 --> 00:45:09,400 Speaker 1: we need to message it differently because simply going out 790 00:45:09,440 --> 00:45:12,600 Speaker 1: and be like gay people are bad, don't cares fucked 791 00:45:12,680 --> 00:45:15,720 Speaker 1: up poor people. They're like, that ship is not working. 792 00:45:15,800 --> 00:45:19,480 Speaker 1: It's not nineteen seventy anymore. Well, yeah, I'd be surprised 793 00:45:19,520 --> 00:45:23,000 Speaker 1: if Yang, people who supported Yang and the last election 794 00:45:23,120 --> 00:45:26,360 Speaker 1: are still about this ship like this. This feels like 795 00:45:26,520 --> 00:45:30,160 Speaker 1: a less of a thing where he's moving his people 796 00:45:30,400 --> 00:45:33,360 Speaker 1: into this category of war where he moved in and 797 00:45:33,400 --> 00:45:36,200 Speaker 1: I'd be surprised if anybody follows him, if they are 798 00:45:36,400 --> 00:45:40,840 Speaker 1: truly just I don't see the same energy. Yeah, it 799 00:45:41,280 --> 00:45:45,640 Speaker 1: feels like a thing, a party that is purely motivated 800 00:45:45,719 --> 00:45:48,800 Speaker 1: to get The New York Times to write pieces about 801 00:45:50,239 --> 00:45:52,279 Speaker 1: The New York Times after because it's all based on 802 00:45:52,480 --> 00:45:55,640 Speaker 1: mainstream media, both sides of them, and the stuff that 803 00:45:55,840 --> 00:45:59,880 Speaker 1: doesn't actually exist to voters or really matter to voters, 804 00:46:00,520 --> 00:46:04,640 Speaker 1: and it's there's just no support. Not only is there 805 00:46:04,680 --> 00:46:07,400 Speaker 1: no support for their policies, there are no policies for 806 00:46:07,600 --> 00:46:10,360 Speaker 1: their party, Like they don't really have anything they're willing 807 00:46:10,440 --> 00:46:13,279 Speaker 1: to say out loud, a lot of policies if they're yeah, 808 00:46:13,320 --> 00:46:16,440 Speaker 1: they're founders. Another one is Barbara Comstock. She was the 809 00:46:16,480 --> 00:46:18,719 Speaker 1: one that said we should build a wall in front 810 00:46:18,760 --> 00:46:22,040 Speaker 1: of Canada too, and we should track immigrants and migrants 811 00:46:22,120 --> 00:46:27,759 Speaker 1: like FedEx packages. Her words, amazing ship. It goes build deep. 812 00:46:28,840 --> 00:46:31,680 Speaker 1: The amount of Republican funding the Trump is and that 813 00:46:31,719 --> 00:46:34,440 Speaker 1: guy who wrote that all these anonymous figures that were 814 00:46:34,440 --> 00:46:39,400 Speaker 1: in the White House that came whistleblowers only when not 815 00:46:39,560 --> 00:46:41,600 Speaker 1: when it matter, but when they could sell a book. 816 00:46:41,640 --> 00:46:43,960 Speaker 1: They waited to when they could sell a book. I'm sorry, 817 00:46:44,040 --> 00:46:49,840 Speaker 1: but one of them is called Miles Taylor's. Yeah, and 818 00:46:50,000 --> 00:46:52,279 Speaker 1: he's part of it too. It's just like if it 819 00:46:52,360 --> 00:46:54,480 Speaker 1: was a real movement, they wouldn't have merged with these 820 00:46:54,520 --> 00:46:57,000 Speaker 1: other things. They just knew the brand was fucked up. 821 00:46:57,080 --> 00:46:59,160 Speaker 1: They just they just like, yeah, we gotta rebrand this 822 00:46:59,200 --> 00:47:01,640 Speaker 1: ship man, right, and they're gonna split the vote. They 823 00:47:01,640 --> 00:47:03,120 Speaker 1: did that in New York just now. They got a 824 00:47:03,160 --> 00:47:07,080 Speaker 1: congress member, probably Daniel Goldman, just like billionaire heir to 825 00:47:07,200 --> 00:47:10,959 Speaker 1: the Levi Strauss fortune, and they they basically he bought 826 00:47:11,120 --> 00:47:14,000 Speaker 1: a congressional seat so far, and that was based on 827 00:47:14,080 --> 00:47:17,880 Speaker 1: splitting the vote, the progressive vote, um, and just you know, pandering, 828 00:47:18,000 --> 00:47:23,080 Speaker 1: pretending your Democrat. Oh so he actually used this forward 829 00:47:23,440 --> 00:47:27,080 Speaker 1: party to get elected or no, just like the same formula. Okay, 830 00:47:27,880 --> 00:47:31,359 Speaker 1: well we're we're the reasonable people in the middle. Yeah. 831 00:47:31,760 --> 00:47:34,840 Speaker 1: I mean that's been that's been working since CLINTONI and 832 00:47:35,160 --> 00:47:38,239 Speaker 1: triangulation and I forget that. There's this guy who ran 833 00:47:38,320 --> 00:47:42,120 Speaker 1: for president against Trump and was kind of a centrist. Oh, 834 00:47:42,239 --> 00:47:47,200 Speaker 1: Joe Biden. Joe Biden, that guy doesn't doesn't actually support 835 00:47:47,280 --> 00:47:51,960 Speaker 1: any progressive policies, Saudi arabiews a pariah state. Oh, come here, Mohammed, 836 00:47:54,440 --> 00:47:57,279 Speaker 1: I got you, maybe I got you. All right, let's 837 00:47:57,320 --> 00:48:09,440 Speaker 1: take a quick break. We'll be right back. Do you 838 00:48:09,480 --> 00:48:11,600 Speaker 1: think he was Mohammed been saw? Mom? Mo, Yeah, there 839 00:48:11,680 --> 00:48:16,319 Speaker 1: was something something. Yeah, you're chilling. I'm chilling. I'm chilling. Yeah, 840 00:48:16,320 --> 00:48:21,200 Speaker 1: I doing my drug brand and ship. Yeah. Yeah, it's 841 00:48:21,280 --> 00:48:23,000 Speaker 1: labor day over here. Yeah yeah, I'm by the pool. 842 00:48:24,440 --> 00:48:26,839 Speaker 1: Oh yeah, you need more okay, yeah, yeah, yeah, okay, 843 00:48:26,840 --> 00:48:28,440 Speaker 1: we can see those missiles all right, yeah, yeah, but 844 00:48:28,480 --> 00:48:32,640 Speaker 1: all right later Mom again, just doing the work of 845 00:48:32,760 --> 00:48:36,200 Speaker 1: making Joe Biden cooler than he actually by making fun 846 00:48:36,280 --> 00:48:38,680 Speaker 1: of him. He got the he got the drink, airline 847 00:48:38,680 --> 00:48:41,560 Speaker 1: and ship with the air pot in. All right, we're back, 848 00:48:41,600 --> 00:48:43,680 Speaker 1: even though it got cut off before. We are back. 849 00:48:44,280 --> 00:48:46,440 Speaker 1: But we do have to move on to more important things, 850 00:48:47,080 --> 00:48:50,719 Speaker 1: which is our continued reporting on Papa John's popa Bolls. Yeah, 851 00:48:51,040 --> 00:48:55,480 Speaker 1: just a bowl full of pizza slopped with no crust 852 00:48:55,760 --> 00:48:59,520 Speaker 1: for seven. It took me twelve Papa bulls to get one. 853 00:48:59,640 --> 00:49:04,239 Speaker 1: Dit on. They are redeemable for one, Dad, But yeah, 854 00:49:05,040 --> 00:49:09,680 Speaker 1: but they so Papa and co. I don't know how 855 00:49:09,719 --> 00:49:12,640 Speaker 1: you refer to Papa John's I have, Yeah, I'm sure 856 00:49:12,680 --> 00:49:18,719 Speaker 1: it's like Tiffany, right. Right, So they've decided that they 857 00:49:18,760 --> 00:49:21,759 Speaker 1: are just trying to get or they've decided that the 858 00:49:21,760 --> 00:49:23,480 Speaker 1: way they're gonna angle this is they're just trying to 859 00:49:23,520 --> 00:49:27,640 Speaker 1: get people excited about pizza again, since their sales were 860 00:49:27,719 --> 00:49:30,719 Speaker 1: somewhat stagnant. I mean, I've been the meetings where where 861 00:49:30,800 --> 00:49:34,000 Speaker 1: the boss tells us that we have no more health insurance, 862 00:49:34,400 --> 00:49:38,399 Speaker 1: but because they brought pizza, everyone's happy, right, No one, 863 00:49:38,560 --> 00:49:43,279 Speaker 1: Pizza has not lost its excitement, nor are the sales diminishing. 864 00:49:43,360 --> 00:49:46,080 Speaker 1: Pizza sales are projected to grow by five point three 865 00:49:46,120 --> 00:49:50,320 Speaker 1: percent in two which so it seems like more the 866 00:49:50,440 --> 00:49:53,600 Speaker 1: problem might be with Papa John's, and their answer is 867 00:49:53,840 --> 00:49:57,640 Speaker 1: to remove the crust and shove the remaining ingredients into 868 00:49:57,760 --> 00:50:03,320 Speaker 1: a disposable container. It's it really feels like a I 869 00:50:03,520 --> 00:50:06,440 Speaker 1: think the reason I'm I can't quit this story is 870 00:50:06,520 --> 00:50:09,760 Speaker 1: just it truly feels like a dystopic, like a step 871 00:50:10,000 --> 00:50:13,000 Speaker 1: towards the dystopic future where we just get our little 872 00:50:13,040 --> 00:50:17,600 Speaker 1: individual plastic meal trays that come to us and we 873 00:50:17,760 --> 00:50:20,680 Speaker 1: consume everything in plastic meal trays. Yeah, I mean, I 874 00:50:20,800 --> 00:50:23,960 Speaker 1: think the one thing consistently we always hear is that 875 00:50:24,320 --> 00:50:27,759 Speaker 1: this isn't for this for people who are eating keto, right, 876 00:50:28,000 --> 00:50:29,919 Speaker 1: you know, it's the only time you're like, now, funk 877 00:50:29,960 --> 00:50:32,600 Speaker 1: everything else on the pizza. I just want the fun, 878 00:50:32,760 --> 00:50:35,600 Speaker 1: the non bread part. So I get that there there's 879 00:50:35,719 --> 00:50:38,680 Speaker 1: they they must see some segment there. But on the 880 00:50:38,760 --> 00:50:41,080 Speaker 1: other part of it too. The my first instinct is like, 881 00:50:42,280 --> 00:50:44,120 Speaker 1: I mean, like, why do I feel like there's a 882 00:50:44,200 --> 00:50:47,120 Speaker 1: darker story here, Like, listen, Bill, we cut down too 883 00:50:47,160 --> 00:50:49,800 Speaker 1: many trees for pizza boxes and pumped too much carbon 884 00:50:49,960 --> 00:50:53,440 Speaker 1: with deliveries. So now with climate change, we don't have grains, 885 00:50:54,040 --> 00:50:56,040 Speaker 1: so we will not have grains, and they're trying to 886 00:50:56,080 --> 00:50:59,040 Speaker 1: wean us off grain because of the war Ukraine. Let's 887 00:50:59,080 --> 00:51:01,120 Speaker 1: make this sec let let's to make pizza sexy again 888 00:51:01,160 --> 00:51:04,480 Speaker 1: without without great They're like, fun bread, we don't need grain, right, 889 00:51:05,120 --> 00:51:06,799 Speaker 1: But you know, someone was like, what are we gonna 890 00:51:06,840 --> 00:51:09,640 Speaker 1: put the food on? And then they're like, what about 891 00:51:10,239 --> 00:51:15,000 Speaker 1: plastic climate destroying bowls? Right? Learning nothing, that's The Washington 892 00:51:15,080 --> 00:51:18,920 Speaker 1: Post reviewed the product and called it a pantry dump 893 00:51:19,080 --> 00:51:22,200 Speaker 1: and a lot of packaging. So apparently the packaging is 894 00:51:23,040 --> 00:51:26,279 Speaker 1: is not insignificant. There's a lot of it. Yeah, not 895 00:51:26,440 --> 00:51:31,040 Speaker 1: sustainable or unsustainable. It's it's forward packaging. It's forward exactly right, 896 00:51:31,239 --> 00:51:34,400 Speaker 1: Like we're just taking consensus. Common consensus is going to 897 00:51:34,560 --> 00:51:38,399 Speaker 1: dictate what we put the Papa bowls in. Okay, sounds 898 00:51:38,480 --> 00:51:42,759 Speaker 1: of gross if you think that sounds bad. And so 899 00:51:42,920 --> 00:51:46,279 Speaker 1: this is another indication that this is led by necessity. 900 00:51:46,560 --> 00:51:50,680 Speaker 1: I think you're definitely on call me when someone records 901 00:51:50,760 --> 00:51:53,080 Speaker 1: some record producers sells them. I love it when you 902 00:51:53,200 --> 00:51:56,840 Speaker 1: call me big bowl. Yeah. So I could just like 903 00:51:57,200 --> 00:51:59,480 Speaker 1: I don't know, start making Molotov cocktails out of them. 904 00:51:59,560 --> 00:52:01,440 Speaker 1: I mean, just and you've got that. That's my that's 905 00:52:01,480 --> 00:52:03,680 Speaker 1: my a K for tomorrow. By the way, Justin, just 906 00:52:03,880 --> 00:52:08,360 Speaker 1: you can you can just grab that recording super producer, Justin. 907 00:52:08,880 --> 00:52:11,480 Speaker 1: But the other so the the other part of this 908 00:52:11,640 --> 00:52:14,320 Speaker 1: that suggests that it is need based to me, and 909 00:52:14,400 --> 00:52:17,120 Speaker 1: we've seen by the way, we've seen things that are 910 00:52:18,280 --> 00:52:21,319 Speaker 1: you know, moves within the fast food industry that are 911 00:52:21,800 --> 00:52:26,080 Speaker 1: controlled not by what they would you know, what they 912 00:52:26,080 --> 00:52:29,360 Speaker 1: would seem. For instance, there was a bunch of excess 913 00:52:29,520 --> 00:52:32,760 Speaker 1: cheese or milk fat in a cave at the beginning 914 00:52:32,800 --> 00:52:35,919 Speaker 1: of the eighties because people had switched to skim milk 915 00:52:36,040 --> 00:52:39,080 Speaker 1: from whole milk, and we we've talked about this before, 916 00:52:39,160 --> 00:52:43,239 Speaker 1: but that they basically could get cheese really cheaply. And 917 00:52:43,320 --> 00:52:47,200 Speaker 1: that's how like our pizza's got so much more cheesy 918 00:52:47,520 --> 00:52:52,839 Speaker 1: than they were heading into the eighties cheese surplus, right, 919 00:52:53,920 --> 00:52:56,600 Speaker 1: so what it's done to us? There's another one of these, 920 00:52:56,719 --> 00:53:01,799 Speaker 1: the Subway no bready bowls, And have we figured out 921 00:53:01,840 --> 00:53:04,040 Speaker 1: if that is a play on anything? I remember, I 922 00:53:04,080 --> 00:53:07,759 Speaker 1: thought it was like Betty By was the only Yeah, no, 923 00:53:07,840 --> 00:53:11,400 Speaker 1: I remember, Ever, I just rejected that. Yeah, that's come 924 00:53:11,440 --> 00:53:17,160 Speaker 1: a little and like again, something that suggests that they 925 00:53:17,239 --> 00:53:21,840 Speaker 1: started at the assumption of we have to just cram 926 00:53:22,080 --> 00:53:27,000 Speaker 1: ingredients into people's mouths with no bread, and then you know, 927 00:53:27,200 --> 00:53:31,440 Speaker 1: worked backwards from that because these products are not marketing 928 00:53:31,560 --> 00:53:35,319 Speaker 1: master strokes, to say the least. They're pretty just made 929 00:53:35,400 --> 00:53:39,200 Speaker 1: look piled on top of meat and abject defiance of 930 00:53:39,280 --> 00:53:42,800 Speaker 1: all that's good and pure in the world. They won't 931 00:53:42,840 --> 00:53:45,960 Speaker 1: even do us the service of pressing it into a 932 00:53:46,040 --> 00:53:49,319 Speaker 1: shape like they do in every dystopian future movie, right right, 933 00:53:49,960 --> 00:53:54,319 Speaker 1: like where's your here's your nutrition, puck, there's some pork shavings, right, 934 00:53:54,400 --> 00:53:57,239 Speaker 1: it was always wasn't always like biscuits or you know, 935 00:53:57,480 --> 00:54:01,400 Speaker 1: just a disc of green something or other. With The 936 00:54:01,480 --> 00:54:03,200 Speaker 1: thing that we missed out on is that they can't 937 00:54:03,239 --> 00:54:06,640 Speaker 1: quit the packaging. The packaging is is good for business. 938 00:54:06,920 --> 00:54:10,840 Speaker 1: So it's all about the bowls. Yeah. I mean. The 939 00:54:10,960 --> 00:54:13,319 Speaker 1: thing is like I used to eat like low car 940 00:54:14,000 --> 00:54:15,920 Speaker 1: right where I would say like, yeah, like if I 941 00:54:16,040 --> 00:54:19,000 Speaker 1: go to Chipotle, like give me the burrito bowl or whatever, 942 00:54:19,120 --> 00:54:21,239 Speaker 1: and I like that you could get but that still 943 00:54:21,320 --> 00:54:23,320 Speaker 1: made sense in my mind. I was like, yeah, this 944 00:54:23,400 --> 00:54:25,760 Speaker 1: is just this is like when you eat a burrito 945 00:54:25,880 --> 00:54:27,640 Speaker 1: or sloppy and the ship just fell off the plate 946 00:54:27,680 --> 00:54:28,880 Speaker 1: and you got to eat it with a fork at 947 00:54:28,920 --> 00:54:31,480 Speaker 1: the end. But with some of these I'm like even 948 00:54:31,719 --> 00:54:33,239 Speaker 1: and I even asked, like people who I know are 949 00:54:33,280 --> 00:54:36,319 Speaker 1: doukto and stuff, They're like, I'd rather make my own food. 950 00:54:36,520 --> 00:54:39,120 Speaker 1: They like that there are options, right, So when you 951 00:54:39,280 --> 00:54:42,440 Speaker 1: go out and everybody wants to disrespect themselves with some 952 00:54:42,520 --> 00:54:44,839 Speaker 1: Papa John's, You're like, I guess I have to participate 953 00:54:44,920 --> 00:54:48,480 Speaker 1: in this terrible act and I'll get up ready whatever 954 00:54:48,560 --> 00:54:50,719 Speaker 1: the funk Papa bowl. But on the other hand, I 955 00:54:50,760 --> 00:54:53,920 Speaker 1: think like other times too, that most people I know 956 00:54:54,080 --> 00:54:55,400 Speaker 1: they like to make their own food, and you just 957 00:54:57,280 --> 00:55:01,680 Speaker 1: friends evening to dinner at pop the John's. Is there 958 00:55:02,280 --> 00:55:04,319 Speaker 1: is that even an option? Is it possible to sit 959 00:55:04,400 --> 00:55:07,680 Speaker 1: down at a Papa Johnson? I mean, you've never seen 960 00:55:07,760 --> 00:55:14,920 Speaker 1: one that has seating, nodding out, Um, Duncan has a 961 00:55:14,960 --> 00:55:20,680 Speaker 1: breakfast bowl and Cassy originated it with And then this 962 00:55:20,920 --> 00:55:23,880 Speaker 1: is another indicator that this is not a healthcotch thing 963 00:55:23,960 --> 00:55:26,520 Speaker 1: that the first thing that Cassy Bowl, which I did 964 00:55:26,560 --> 00:55:29,720 Speaker 1: partake in and thought was pretty delicious, was the highest 965 00:55:29,840 --> 00:55:33,880 Speaker 1: calorie item on the menu. It was really just about 966 00:55:33,960 --> 00:55:37,320 Speaker 1: the platform, yeah, right, because that was the one. I 967 00:55:37,400 --> 00:55:39,719 Speaker 1: think what they had like the base was mac and cheese. 968 00:55:39,760 --> 00:55:42,040 Speaker 1: I'm like, this ain't no card. Oh my god, this 969 00:55:42,239 --> 00:55:45,800 Speaker 1: is like, fuck my life up. Please. The one that 970 00:55:45,920 --> 00:55:50,439 Speaker 1: I had had corn mashed potatoes, chicken strips, I think, 971 00:55:50,760 --> 00:55:55,040 Speaker 1: and then popcorn chicken, popcorn chicken, popcorn chicken, and it 972 00:55:55,320 --> 00:55:59,680 Speaker 1: used gravy like it was milk in cereal. It was 973 00:56:00,520 --> 00:56:05,960 Speaker 1: so it was so voicing up those popcorn chickens. Baby, 974 00:56:07,320 --> 00:56:13,000 Speaker 1: we're less offended when they just take it completely to overboard, right, OKAYFC, 975 00:56:13,160 --> 00:56:15,040 Speaker 1: Like we're just like Okay, we get you're you're sort 976 00:56:15,080 --> 00:56:19,920 Speaker 1: of ridiculing it and that profity, but Papa John's it 977 00:56:19,960 --> 00:56:22,000 Speaker 1: just seemed different. It seems like they think they're onto something. 978 00:56:22,280 --> 00:56:24,680 Speaker 1: It's also something they seem to be serving it in 979 00:56:24,960 --> 00:56:29,520 Speaker 1: a lean cuisine frozen dinner dish, which is also I 980 00:56:30,280 --> 00:56:34,520 Speaker 1: just feel like gives it a weird vibe, like makes 981 00:56:34,600 --> 00:56:38,120 Speaker 1: me remember the least happy meals of my life, and 982 00:56:38,280 --> 00:56:40,200 Speaker 1: that I think that's what is making a stick out 983 00:56:40,200 --> 00:56:44,439 Speaker 1: of They are publicizing something that should be a dark 984 00:56:44,560 --> 00:56:48,759 Speaker 1: secret if they want to, Like, you know, some of 985 00:56:48,880 --> 00:56:51,520 Speaker 1: our dads made us that because they didn't want to cook. 986 00:56:51,600 --> 00:56:54,919 Speaker 1: Form like a lot of trauma. And these balls really 987 00:56:54,960 --> 00:56:59,440 Speaker 1: for me to come to struggling single Dad's pizza. So 988 00:56:59,560 --> 00:57:01,239 Speaker 1: that it is a question I had is why are 989 00:57:01,280 --> 00:57:03,920 Speaker 1: they publicizing this? Why not just making it another option? 990 00:57:04,520 --> 00:57:07,240 Speaker 1: It looks like ship so you wouldn't want to like plastic. 991 00:57:08,360 --> 00:57:12,000 Speaker 1: But people think that the widespread internet mockery may be 992 00:57:12,120 --> 00:57:15,279 Speaker 1: good for business. Giving the bulls free publicity makes sense 993 00:57:15,280 --> 00:57:18,120 Speaker 1: because I feel like the flow has been people who 994 00:57:18,240 --> 00:57:20,400 Speaker 1: don't eat low carb go what the fund is this? 995 00:57:20,640 --> 00:57:23,120 Speaker 1: And every person who does goes hold on. I would 996 00:57:23,120 --> 00:57:28,120 Speaker 1: eat they're like when you go, you'll me and they're like, 997 00:57:28,160 --> 00:57:33,280 Speaker 1: oh ship, Yeah, they're polarizing. Yeah, it's creating news. Yeah, 998 00:57:33,280 --> 00:57:35,360 Speaker 1: that's what it is. Smart marketing. I mean, I think 999 00:57:35,480 --> 00:57:39,200 Speaker 1: this is the forward party of fast food offerings, you 1000 00:57:39,240 --> 00:57:41,280 Speaker 1: know what I mean, because it gets people talking. If 1001 00:57:41,280 --> 00:57:45,280 Speaker 1: you're a low information eater, you're gonna be like, we 1002 00:57:45,440 --> 00:57:47,560 Speaker 1: just got a bullet point in these things for these people. 1003 00:57:47,600 --> 00:57:49,920 Speaker 1: I think this bowl just need an actually a miracle. 1004 00:57:50,360 --> 00:57:52,400 Speaker 1: I think this bowl just needs its milk, and that 1005 00:57:52,600 --> 00:57:55,960 Speaker 1: milk should be the garlic sauce they used to come 1006 00:57:56,000 --> 00:57:58,680 Speaker 1: with Papa John's pizzas. Wait they don't. They don't come 1007 00:57:58,720 --> 00:58:01,480 Speaker 1: with it anymore. Oh maybe they do. I haven't had 1008 00:58:01,520 --> 00:58:06,640 Speaker 1: an ordered over a decade. Yeah, it's been a long time. Well, Rath, 1009 00:58:06,760 --> 00:58:10,320 Speaker 1: it's been truly a pleasure having you as always. Where 1010 00:58:10,400 --> 00:58:13,080 Speaker 1: can people find you? Follow you? All that good stuff? 1011 00:58:13,440 --> 00:58:16,960 Speaker 1: Rafael Shimanova on Twitter. Um, I'm starting a podcast with 1012 00:58:17,040 --> 00:58:19,960 Speaker 1: a friend, you know, to to quench the desert of 1013 00:58:20,080 --> 00:58:23,800 Speaker 1: podcasts out there, you know, with another another podcast besides 1014 00:58:23,920 --> 00:58:27,400 Speaker 1: this one. Yeah, they're we're gonna double. We're gonna double 1015 00:58:27,520 --> 00:58:29,880 Speaker 1: the podcast out there. You know, those people were serious 1016 00:58:29,880 --> 00:58:34,040 Speaker 1: when they said they were making podcasts. But my friend 1017 00:58:34,080 --> 00:58:37,000 Speaker 1: Amber Alam and I are doing a thing called here 1018 00:58:37,080 --> 00:58:40,080 Speaker 1: for the Ratio, and we're gonna dissect sort of things 1019 00:58:40,120 --> 00:58:43,480 Speaker 1: where people got ratio, but try to be like restorative 1020 00:58:43,560 --> 00:58:45,400 Speaker 1: and fair and just be like, hey man, why are 1021 00:58:45,440 --> 00:58:47,680 Speaker 1: you all biling up on this person? This is all 1022 00:58:47,680 --> 00:58:50,080 Speaker 1: a misunderstanding, but also like, oh, yeah, this is a 1023 00:58:50,200 --> 00:58:52,960 Speaker 1: terrible person. We should we should buile them with them more. 1024 00:58:53,440 --> 00:58:57,960 Speaker 1: But there's generally like this exciting idea about just going 1025 00:58:58,080 --> 00:59:01,720 Speaker 1: deep with these with these intern dramas. That sounds amazing. 1026 00:59:02,040 --> 00:59:04,000 Speaker 1: And is there a tweet or some of the work 1027 00:59:04,080 --> 00:59:08,520 Speaker 1: of social media you've been enjoying, uh social media? Oh yes, 1028 00:59:09,400 --> 00:59:13,480 Speaker 1: so I've been loving this Twitter account called union Drip. 1029 00:59:13,920 --> 00:59:16,040 Speaker 1: Oh yeah, yeah, what was it called. It was called 1030 00:59:16,320 --> 00:59:18,480 Speaker 1: union Drip if you go there, and they recently they 1031 00:59:18,560 --> 00:59:24,200 Speaker 1: basically showcase kind of like good fits, like amazing things 1032 00:59:24,240 --> 00:59:29,120 Speaker 1: and right now Chris Smalls from Amazon Labor he's always 1033 00:59:29,160 --> 00:59:31,160 Speaker 1: has it. But they also go around the country and 1034 00:59:31,240 --> 00:59:34,160 Speaker 1: people suggested them and it's great. But during Labor Day 1035 00:59:34,200 --> 00:59:37,040 Speaker 1: they re upped one of these old videos by a 1036 00:59:37,120 --> 00:59:41,080 Speaker 1: labor union and I just, oh my god, I wish 1037 00:59:41,200 --> 00:59:44,960 Speaker 1: everyone was able to hear it. Oh you're about to 1038 00:59:45,400 --> 00:59:49,440 Speaker 1: the classic fucking asked me? Asked me? At is? Oh 1039 00:59:49,520 --> 00:59:52,000 Speaker 1: my god, Okay, here we go, uh and I'm sure. Look, 1040 00:59:52,280 --> 00:59:54,760 Speaker 1: so it's a music video with the song that they've 1041 00:59:55,280 --> 00:59:58,080 Speaker 1: no no, it's like a just just watch. So it's 1042 00:59:58,120 --> 00:59:59,920 Speaker 1: basically you're going to see a bunch of slice of 1043 01:00:00,080 --> 01:00:06,800 Speaker 1: life moments like very just pick yourn of like garbage people, construction, 1044 01:00:06,920 --> 01:00:09,240 Speaker 1: you know, sanitation workers, people work at the park, just 1045 01:00:09,360 --> 01:00:11,000 Speaker 1: to kind of show you who the people who represent 1046 01:00:11,040 --> 01:00:12,600 Speaker 1: who are part of asking me? So this is from 1047 01:00:13,680 --> 01:00:17,760 Speaker 1: two I would guess, or like yeah, seventies and your 1048 01:00:17,840 --> 01:00:19,640 Speaker 1: way to work, the monster of sitting around with your 1049 01:00:19,680 --> 01:00:22,360 Speaker 1: finger up your grass, look around and said, you know 1050 01:00:22,440 --> 01:00:24,600 Speaker 1: you're not that wall pass me and the busting the 1051 01:00:24,800 --> 01:00:26,640 Speaker 1: bloss where you're doing a lot of ship board you 1052 01:00:26,760 --> 01:00:30,280 Speaker 1: pick for granted, example, we pick up your fucking garbage. 1053 01:00:32,040 --> 01:00:34,120 Speaker 1: We got boards out there will keep your kids from 1054 01:00:34,160 --> 01:00:38,120 Speaker 1: getting one all them. Buy some hard on, plug up 1055 01:00:38,200 --> 01:00:40,080 Speaker 1: the walls in the road so you don't funk up 1056 01:00:40,120 --> 01:00:43,640 Speaker 1: your car, and we push around a lot of little 1057 01:00:43,680 --> 01:00:48,280 Speaker 1: old ladies from Florida out there's zapping rats and roaches 1058 01:00:48,320 --> 01:00:50,840 Speaker 1: and making sure your kids, don't drink piss from the 1059 01:00:51,000 --> 01:00:59,480 Speaker 1: fucking waters. Fucking lass uh malgamated Federal at the fun 1060 01:00:59,600 --> 01:01:03,280 Speaker 1: of me. All I know is we're hard working, tax 1061 01:01:03,360 --> 01:01:07,480 Speaker 1: paying people like you. We don't take ship from nobody. 1062 01:01:08,120 --> 01:01:13,880 Speaker 1: You got that asshole asks me the fucking un It 1063 01:01:13,960 --> 01:01:21,000 Speaker 1: works for you. It's also funny because it sounds like 1064 01:01:21,080 --> 01:01:25,800 Speaker 1: the guy from like NPR card Talk right be fucking 1065 01:01:25,880 --> 01:01:30,960 Speaker 1: Glo beach beautiful miles. Where can people find you? What 1066 01:01:31,080 --> 01:01:33,240 Speaker 1: the tweet you've been enjoying? Find me on Twitter and 1067 01:01:33,520 --> 01:01:36,800 Speaker 1: Instagram at Miles of Gray. If you like basketball, check 1068 01:01:36,840 --> 01:01:39,560 Speaker 1: us out on Miles and Jack got mad BOOSTI uh 1069 01:01:39,600 --> 01:01:41,560 Speaker 1: and if you like reality TV like all I do, 1070 01:01:41,800 --> 01:01:44,560 Speaker 1: check me out on four twenty Day Fiance. That's another 1071 01:01:44,640 --> 01:01:49,400 Speaker 1: podcast I do, was Sophia Alexandra. We see some tweets 1072 01:01:49,440 --> 01:01:53,000 Speaker 1: out like first one at Female Redhead tweeted, oh your 1073 01:01:53,040 --> 01:01:56,040 Speaker 1: boyfriend's a doctor. Well, my boyfriend is now the coach 1074 01:01:56,080 --> 01:02:03,440 Speaker 1: of an imaginary football team for the next four months. Uh. 1075 01:02:04,320 --> 01:02:08,960 Speaker 1: One from Alyssa, Alberta's at Astro Alyssa tweeted, some Lord 1076 01:02:09,000 --> 01:02:12,200 Speaker 1: of the Rings fans, this is supposed to be medieval Europe. 1077 01:02:12,480 --> 01:02:19,120 Speaker 1: Why they're black people? Me, why are their potatoes that 1078 01:02:19,800 --> 01:02:24,000 Speaker 1: come on being exchange baby? You can find me on 1079 01:02:24,080 --> 01:02:26,440 Speaker 1: Twitter at Jack Underscore. O'Brien, I'm just gonna go with 1080 01:02:26,520 --> 01:02:29,760 Speaker 1: the fantasy football one mile. It's just that's that's great. 1081 01:02:30,080 --> 01:02:32,720 Speaker 1: You can find us on Twitter at Daily Zeitgeist. Were 1082 01:02:32,760 --> 01:02:35,200 Speaker 1: at the Daily Zeitgeist on Instagram. We have a Facebook 1083 01:02:35,240 --> 01:02:37,680 Speaker 1: fan page and website Daily zeitgeist dot com where we 1084 01:02:37,720 --> 01:02:40,920 Speaker 1: post our episodes and our foot notes where we link 1085 01:02:40,960 --> 01:02:43,120 Speaker 1: offs the information that we talked about in today's episode, 1086 01:02:43,120 --> 01:02:45,280 Speaker 1: as well as the song that we think you might enjoy. Miles, 1087 01:02:45,320 --> 01:02:47,560 Speaker 1: what song do we think people might know? Oh, you 1088 01:02:47,760 --> 01:02:50,560 Speaker 1: might like this track. This feels like very West Coast. 1089 01:02:50,680 --> 01:02:53,080 Speaker 1: This is from Mono Polly Mono Slash Polly. You might 1090 01:02:53,160 --> 01:02:55,880 Speaker 1: know some of his work from Brain Theater. We've done 1091 01:02:55,920 --> 01:02:59,320 Speaker 1: a couple of tracts from them Forget When. But anyway, 1092 01:02:59,400 --> 01:03:03,240 Speaker 1: this is from one of the early release the Manifestations 1093 01:03:03,240 --> 01:03:06,960 Speaker 1: EPs called needs Deodorant and I guess I bet you 1094 01:03:07,080 --> 01:03:09,840 Speaker 1: can guess why this track might need deodorant because it's 1095 01:03:09,920 --> 01:03:12,680 Speaker 1: so fucking funky. You don't know what the fund to 1096 01:03:12,800 --> 01:03:14,880 Speaker 1: do when you listen to it, and it feels like 1097 01:03:15,080 --> 01:03:17,440 Speaker 1: if like ge like, when I listen to this song, 1098 01:03:17,600 --> 01:03:20,240 Speaker 1: I picture if there if like Blade Runner took place 1099 01:03:20,320 --> 01:03:23,600 Speaker 1: in Compton, because it has like this future like low 1100 01:03:23,760 --> 01:03:27,400 Speaker 1: rider like fucking g function going on, but it feels futuristic, 1101 01:03:27,760 --> 01:03:30,120 Speaker 1: So I'm like, WHOA. In my mind, I see like 1102 01:03:30,200 --> 01:03:32,960 Speaker 1: this like Hood in the Future film. That's so dope. Anyway, 1103 01:03:33,240 --> 01:03:37,080 Speaker 1: needs deodorant monopoly well, The Daily Zaus the production of 1104 01:03:37,120 --> 01:03:39,360 Speaker 1: iHeart Radio for more podcasts for my heart Radio is 1105 01:03:39,520 --> 01:03:41,480 Speaker 1: the I Heart Radio app, Apple podcast or wherever you 1106 01:03:41,560 --> 01:03:44,120 Speaker 1: listen your favorite shows. That is gonna do it for 1107 01:03:44,400 --> 01:03:46,520 Speaker 1: us this morning back this afternoon to tell you what 1108 01:03:46,600 --> 01:03:47,920 Speaker 1: it is trending and we will talk to you all 1109 01:03:47,960 --> 01:03:49,080 Speaker 1: then bye bye