1 00:00:01,080 --> 00:00:04,480 Speaker 1: Hello the Internet, and welcome to this episode of gold trend. 2 00:00:04,559 --> 00:00:08,239 Speaker 1: I I was a courtesy a Fighter of the Night 3 00:00:08,280 --> 00:00:14,760 Speaker 1: Man in the discord there it is coming back, Tina Turner. 4 00:00:15,480 --> 00:00:18,239 Speaker 1: Tina Turner did the main song for Golden Eye was 5 00:00:18,280 --> 00:00:22,480 Speaker 1: like nah, and I was like, whoa, whoa, whoa, whoa. 6 00:00:22,520 --> 00:00:25,160 Speaker 1: I remember I remember being so disappointed too, because I 7 00:00:25,200 --> 00:00:26,960 Speaker 1: think that was the first Bond film I saw in 8 00:00:27,000 --> 00:00:28,479 Speaker 1: the theater and I was like, what the fund is 9 00:00:28,480 --> 00:00:34,080 Speaker 1: this fucking fifteen minute credit sequence? Yeah, because my parents 10 00:00:34,200 --> 00:00:37,760 Speaker 1: usually just fast forward the Timothy Dalton James Bond vhs 11 00:00:37,840 --> 00:00:41,159 Speaker 1: is when we had so I didn't even know anyway, 12 00:00:41,200 --> 00:00:46,520 Speaker 1: they really luxuriate in that in those uh credit sequences sometimes, 13 00:00:47,440 --> 00:00:51,320 Speaker 1: and that's always like, I feel like critics are always like, 14 00:00:51,400 --> 00:00:55,680 Speaker 1: ah and just a gorgeous credit sequence with and I'm 15 00:00:55,720 --> 00:00:58,320 Speaker 1: always just like, yo, what is this seventy two? Like 16 00:00:58,400 --> 00:01:02,200 Speaker 1: what then are we doing? It's very slow? Well, I 17 00:01:02,200 --> 00:01:05,520 Speaker 1: am jack that over there is miles. These are some 18 00:01:05,600 --> 00:01:09,480 Speaker 1: of the things that are trending on this Thursday afternoon. 19 00:01:10,000 --> 00:01:15,320 Speaker 1: Fast food companies are trending. There's something happening in California 20 00:01:15,959 --> 00:01:21,399 Speaker 1: where Californians will basically be voting on the Fast Act 21 00:01:22,600 --> 00:01:26,440 Speaker 1: to possibly overturned the landmark new state law that could 22 00:01:26,440 --> 00:01:29,840 Speaker 1: see the minimum wage for fast food workers raised to 23 00:01:30,800 --> 00:01:34,160 Speaker 1: an hour. So this was supposed to be a new 24 00:01:34,280 --> 00:01:40,320 Speaker 1: law already in January, and then companies including you know 25 00:01:40,560 --> 00:01:46,959 Speaker 1: all all the Favoritespole, Starbucks, your favorites in nat Burger, 26 00:01:47,200 --> 00:01:51,440 Speaker 1: KFC owner Young Brands, spent millions of dollars opposing it 27 00:01:51,920 --> 00:01:57,600 Speaker 1: by donating to the Save Local Restaurants coalition. It's wild 28 00:01:57,680 --> 00:02:01,840 Speaker 1: that these non local restaurants are just so focused on 29 00:02:02,800 --> 00:02:07,840 Speaker 1: a campaign to save local restaurants, you know, but they 30 00:02:07,920 --> 00:02:10,200 Speaker 1: know so tell me this, if I sign this, how 31 00:02:10,240 --> 00:02:12,880 Speaker 1: do I save local restaurants? You want me to have 32 00:02:13,000 --> 00:02:15,480 Speaker 1: signed it now? Oh so you're going to push this 33 00:02:15,520 --> 00:02:21,760 Speaker 1: to a vote in the next major election. That's okay, okay, okay, okay. Yeah. 34 00:02:21,880 --> 00:02:25,359 Speaker 1: So this is basically they began their signature gathering campaign 35 00:02:25,360 --> 00:02:28,360 Speaker 1: back on Labor Day to stop the new law and 36 00:02:28,600 --> 00:02:33,000 Speaker 1: basically framed it as a way to, you know, protect 37 00:02:33,160 --> 00:02:37,720 Speaker 1: local restaurants from having to pay these high wages. Again 38 00:02:39,040 --> 00:02:43,120 Speaker 1: not being funded by local restaurants, that's being funded by 39 00:02:43,639 --> 00:02:47,040 Speaker 1: fast food chains. Well, two an hour is quite literally 40 00:02:47,040 --> 00:02:50,040 Speaker 1: the bare minimum, right as for a living wage, like 41 00:02:50,080 --> 00:02:52,959 Speaker 1: when you adjust for ship and I'm sure in California 42 00:02:53,040 --> 00:02:56,120 Speaker 1: would probably even more. But like the irony of not 43 00:02:56,240 --> 00:02:59,920 Speaker 1: the irony, just they keep doing the same fucking tactic 44 00:03:00,080 --> 00:03:02,440 Speaker 1: to like that're like, you know, if if this law passage, 45 00:03:02,800 --> 00:03:08,000 Speaker 1: your hamburgers will be fucking right, because that's what's gonna happen. No, 46 00:03:08,280 --> 00:03:11,960 Speaker 1: it fucking won't. But anyway, like the same kind of 47 00:03:12,000 --> 00:03:14,760 Speaker 1: threats of you know, your prices go up. But really, 48 00:03:14,840 --> 00:03:16,960 Speaker 1: I think most people be like, yeah, I actually know 49 00:03:17,080 --> 00:03:20,000 Speaker 1: more people that would benefit from this than I than 50 00:03:20,080 --> 00:03:22,760 Speaker 1: me thinking are believing that doing this is going to 51 00:03:22,840 --> 00:03:25,560 Speaker 1: somehow make my life worse. Well, all my friends are 52 00:03:25,560 --> 00:03:30,760 Speaker 1: the CEOs of McDonald's and young brands, so I'm very 53 00:03:30,800 --> 00:03:34,880 Speaker 1: concerned about their bottom line and their mood, their mood 54 00:03:35,160 --> 00:03:39,640 Speaker 1: when we're going on a yacht together. The council would 55 00:03:39,680 --> 00:03:46,000 Speaker 1: also oversee health safety and antidiscrimination regulations, so can't have that. Um, 56 00:03:46,120 --> 00:03:48,840 Speaker 1: so they're yeah, they want to get rid of that 57 00:03:49,480 --> 00:03:54,040 Speaker 1: as quickly and efficiently as possible with a fun pr 58 00:03:54,120 --> 00:03:58,320 Speaker 1: campaign about saving local restaurants, and yeah, the talking points 59 00:03:58,360 --> 00:04:01,680 Speaker 1: are fast food prices would sky rocket, people would lose 60 00:04:01,720 --> 00:04:05,280 Speaker 1: their job, that's every time. It was with rent controls, 61 00:04:05,560 --> 00:04:10,360 Speaker 1: it was with like helping dialysis centers, it's with clean energy, 62 00:04:10,880 --> 00:04:14,160 Speaker 1: like renewable like mandated renewables. It's always the same line 63 00:04:14,200 --> 00:04:17,160 Speaker 1: of attack. Well, you do this woke thing, it's gonna 64 00:04:17,200 --> 00:04:20,200 Speaker 1: make everything more expensive because all it is, it just 65 00:04:20,240 --> 00:04:22,520 Speaker 1: gives up the ghosts that all of these things are 66 00:04:22,560 --> 00:04:25,400 Speaker 1: about creating more equity. And what they're saying is like, well, 67 00:04:25,440 --> 00:04:27,680 Speaker 1: if you tip the scale in favor of the workers, 68 00:04:27,880 --> 00:04:29,960 Speaker 1: the only way we can offset that is to pass 69 00:04:30,000 --> 00:04:33,320 Speaker 1: that cost down to you, because we're we're fucked. If 70 00:04:33,360 --> 00:04:36,480 Speaker 1: the bottom line shifts at some level, we're gonna be 71 00:04:36,520 --> 00:04:39,159 Speaker 1: able to buy back as much stock as we did 72 00:04:39,240 --> 00:04:44,520 Speaker 1: last year. You know. Yeah, and we've seen better. They 73 00:04:44,560 --> 00:04:48,520 Speaker 1: will treat the workers as badly as they as the 74 00:04:48,600 --> 00:04:52,480 Speaker 1: law will allow, essentially is what we've seen. So you 75 00:04:52,520 --> 00:04:56,719 Speaker 1: know they this is something and they're the ones trying 76 00:04:56,760 --> 00:04:59,680 Speaker 1: to fund the pushback on this. You know what, Like, 77 00:04:59,760 --> 00:05:02,960 Speaker 1: we know what everything we need to know. But in 78 00:05:03,160 --> 00:05:05,839 Speaker 1: the next few years, right when is a fucking company 79 00:05:05,880 --> 00:05:07,880 Speaker 1: going to be like, I'm not gonna I can't even 80 00:05:07,960 --> 00:05:11,000 Speaker 1: run my business in Californic. Target is no longer in 81 00:05:11,040 --> 00:05:14,240 Speaker 1: California because the wages they're they're saying, we got a 82 00:05:14,240 --> 00:05:17,359 Speaker 1: paper is too much. Too much, folks, you're gonna lose target. 83 00:05:17,480 --> 00:05:20,440 Speaker 1: You're gonna lose target. Okay if you if you vote 84 00:05:20,440 --> 00:05:22,920 Speaker 1: for this, like that's a threat down the line, I'm sure, 85 00:05:22,960 --> 00:05:25,880 Speaker 1: which would be funny, but yeah, no one to do that. 86 00:05:25,920 --> 00:05:29,080 Speaker 1: But in the end, who knows. Um. There seems to 87 00:05:29,160 --> 00:05:34,440 Speaker 1: be a little bit of backlash happening to chat GPT 88 00:05:34,600 --> 00:05:40,560 Speaker 1: smarty pants ass chat bot apparently, according to a headline 89 00:05:41,200 --> 00:05:46,640 Speaker 1: on I just made up headline that Matt Drudge just 90 00:05:46,680 --> 00:05:50,400 Speaker 1: made up not as smart as we thought, folks. Chat 91 00:05:50,400 --> 00:05:54,479 Speaker 1: GPT average to C plus when a University of Minnesota 92 00:05:54,560 --> 00:05:57,640 Speaker 1: law professor used it to generate answers in four law 93 00:05:57,680 --> 00:06:02,760 Speaker 1: school exams while humans are bridge a B plus. Okay, 94 00:06:02,920 --> 00:06:06,560 Speaker 1: it's funny like listening to people talk about this because 95 00:06:07,560 --> 00:06:11,080 Speaker 1: there there is this version of technology that they have 96 00:06:11,320 --> 00:06:15,200 Speaker 1: in their brain from the movies specifically like the movies 97 00:06:15,360 --> 00:06:18,760 Speaker 1: that came out posts Iron Man, but just you know, 98 00:06:18,800 --> 00:06:23,120 Speaker 1: over the past twenty years, like movies written generally by 99 00:06:23,520 --> 00:06:28,400 Speaker 1: older people have the you know, it's the enhanced enhanced 100 00:06:28,400 --> 00:06:32,440 Speaker 1: things where technology can do whatever you tell it. Too, 101 00:06:32,600 --> 00:06:37,000 Speaker 1: And so that's been the expectation, right, is that technology 102 00:06:37,320 --> 00:06:43,080 Speaker 1: you just say past this law exam and the technology 103 00:06:43,200 --> 00:06:46,679 Speaker 1: will pass the low exam better than a human could. 104 00:06:47,000 --> 00:06:49,080 Speaker 1: And so like the fact that it can get a 105 00:06:49,120 --> 00:06:54,880 Speaker 1: C plus on the law professor's exam is, I don't know, 106 00:06:55,160 --> 00:06:59,440 Speaker 1: that's pretty good. And then there's this other story that 107 00:06:59,560 --> 00:07:06,039 Speaker 1: came out where Democratic Congressman Jake uh auchen class is 108 00:07:06,080 --> 00:07:09,200 Speaker 1: that how we're gonna try. I haven't, haven't, haven't attempted 109 00:07:09,200 --> 00:07:10,800 Speaker 1: that one, but yeah, let's go with that one. Let's 110 00:07:10,800 --> 00:07:13,840 Speaker 1: go with auchen Class. Uh delivered a speech about a 111 00:07:13,880 --> 00:07:20,720 Speaker 1: new bill to create new artificial intelligence centers, a co owned, 112 00:07:21,160 --> 00:07:24,880 Speaker 1: co run artificial intelligence center between the US and Israel. 113 00:07:25,520 --> 00:07:27,400 Speaker 1: UM A little bit more on that in a moment, 114 00:07:27,760 --> 00:07:32,000 Speaker 1: but it is funny because he like talked about how 115 00:07:32,040 --> 00:07:35,520 Speaker 1: he had to refine the prompt several times to produce 116 00:07:35,600 --> 00:07:38,720 Speaker 1: the text he ultimately read. So again, it's like this thing, 117 00:07:38,960 --> 00:07:41,680 Speaker 1: this thing kind of stinks, but we gotta do it. 118 00:07:42,120 --> 00:07:46,200 Speaker 1: We've gotta do it. But again, you know, it's you. 119 00:07:46,360 --> 00:07:49,560 Speaker 1: You hear that a lot, like as people interact with it, 120 00:07:49,560 --> 00:07:53,920 Speaker 1: they're like the things not writing good Shakespearean sonnets for me, 121 00:07:54,680 --> 00:07:57,360 Speaker 1: you know, what's the what's the purpose of having like 122 00:07:57,400 --> 00:08:01,920 Speaker 1: a joint Israel U s AI center every time there's join, 123 00:08:03,120 --> 00:08:07,560 Speaker 1: any time there's any joint US Israel anything, it's like, yeah, 124 00:08:07,680 --> 00:08:11,320 Speaker 1: let's let's here test out our fucking crowd control technology 125 00:08:11,360 --> 00:08:16,480 Speaker 1: on Palestinians and report back. It's it's it Is it 126 00:08:16,600 --> 00:08:20,440 Speaker 1: really that easy to say that it's that it's for weapons. 127 00:08:20,480 --> 00:08:23,640 Speaker 1: I mean, we don't know. We do know that Israel. 128 00:08:23,680 --> 00:08:26,760 Speaker 1: If anyone's getting us closer to a Skynet situation, it 129 00:08:26,880 --> 00:08:28,880 Speaker 1: would seem to be Israel. Up to this point, they 130 00:08:28,880 --> 00:08:33,000 Speaker 1: recently unveiled AI powered robotic guns in order to shoot 131 00:08:33,000 --> 00:08:37,720 Speaker 1: at Palestinian protesters. So yeah, yeah, so shut that ship 132 00:08:37,760 --> 00:08:42,440 Speaker 1: down right away. Uh don't need AI, y'all. We can't. 133 00:08:42,559 --> 00:08:45,240 Speaker 1: We can't even do normal intelligence on this fucking planet. 134 00:08:45,760 --> 00:08:49,439 Speaker 1: Right let's you know, but what are they gonnam a 135 00:08:49,480 --> 00:08:53,360 Speaker 1: lud right now? Yeah? Google has been offering advanced artificial 136 00:08:53,400 --> 00:08:57,120 Speaker 1: intelligence and machine learning capabilities to the Israeli government, and 137 00:08:57,160 --> 00:09:01,280 Speaker 1: then we're like they they later quote worried that this 138 00:09:01,360 --> 00:09:05,880 Speaker 1: will probably just enable further human rights violations. That Google 139 00:09:05,960 --> 00:09:09,640 Speaker 1: realized that they later worried that they did they might not, 140 00:09:11,480 --> 00:09:16,120 Speaker 1: they knew it registered the concern again, y'all. Just like 141 00:09:16,640 --> 00:09:21,760 Speaker 1: Western intervention, not a good track record. US and Israel 142 00:09:21,800 --> 00:09:27,920 Speaker 1: teaming up on some kind of technology ship. Yeah, um, 143 00:09:27,960 --> 00:09:30,280 Speaker 1: all right, let's take a quick break. We'll be right back, 144 00:09:40,480 --> 00:09:47,559 Speaker 1: and we're back and Murdoch, Yeah, big al Alex, your boy, 145 00:09:47,679 --> 00:09:50,400 Speaker 1: he's in. He's in. He's on trial right now, big 146 00:09:50,440 --> 00:09:54,280 Speaker 1: red baby. There's a couple of details that have come out. First, 147 00:09:54,840 --> 00:09:58,400 Speaker 1: they took down his pop pause painting in the courtroom, 148 00:09:58,840 --> 00:10:01,960 Speaker 1: so he will no longer be you know, foreboding presence 149 00:10:02,240 --> 00:10:07,760 Speaker 1: in the courtroom where maybe this person's hey, you know what, 150 00:10:08,000 --> 00:10:12,840 Speaker 1: let's yeah take that. And then apparently, you know, the 151 00:10:12,880 --> 00:10:15,120 Speaker 1: people who were talking like who are like looking at 152 00:10:15,120 --> 00:10:17,160 Speaker 1: the trial, they said he broke down in tears during 153 00:10:17,240 --> 00:10:21,080 Speaker 1: his murder trial as witnesses were describing the crime scene, 154 00:10:21,360 --> 00:10:23,760 Speaker 1: you know, like when I believe his his wife and 155 00:10:23,880 --> 00:10:26,560 Speaker 1: son were killed. He was like very emotional. It's like 156 00:10:26,559 --> 00:10:28,080 Speaker 1: a photo of him, like you could see like literal 157 00:10:28,120 --> 00:10:30,640 Speaker 1: tears are like falling off of his face. But then 158 00:10:30,679 --> 00:10:34,920 Speaker 1: the first officer arrived, his test his his testimony was yeah, 159 00:10:34,960 --> 00:10:36,840 Speaker 1: I mean that guy was upset, but he wasn't like 160 00:10:36,920 --> 00:10:39,400 Speaker 1: crying or anything when I got there, when his when 161 00:10:39,400 --> 00:10:41,840 Speaker 1: his like you know, and again some people are like, well, 162 00:10:41,960 --> 00:10:43,680 Speaker 1: you know, who knows what that means. But when you 163 00:10:43,760 --> 00:10:47,559 Speaker 1: put that against everything that this guy has done, you're like, yeah, 164 00:10:47,559 --> 00:10:55,120 Speaker 1: it's like context but nothing. Yeah. Um, completely judging somebody's 165 00:10:55,200 --> 00:10:58,199 Speaker 1: response to a traumatic event that just happened probably isn't 166 00:10:58,720 --> 00:11:00,679 Speaker 1: totally fair. I don't know. I have to check with 167 00:11:00,840 --> 00:11:05,840 Speaker 1: my um, with with my two sheet or from that 168 00:11:05,880 --> 00:11:09,160 Speaker 1: one cop who claims that they can tell when someone 169 00:11:09,280 --> 00:11:13,400 Speaker 1: is lying whatever they call nine one one they can tell. 170 00:11:14,120 --> 00:11:17,400 Speaker 1: I think they they put in something that like one 171 00:11:17,440 --> 00:11:22,000 Speaker 1: in in this like report offered by that cop, they 172 00:11:22,040 --> 00:11:26,199 Speaker 1: put in this claim that one in every three people 173 00:11:26,240 --> 00:11:29,160 Speaker 1: who calls nine one one is like actually a murderer. 174 00:11:29,679 --> 00:11:35,000 Speaker 1: Like they some wild statistics. But yeah, they claim that 175 00:11:35,360 --> 00:11:39,880 Speaker 1: if somebody says there's blood instead of saying that someone's bleeding, 176 00:11:40,679 --> 00:11:43,720 Speaker 1: they're the murderer or something like. There's all these like 177 00:11:43,960 --> 00:11:47,280 Speaker 1: telltale signs that are exactly the sorts of ship that 178 00:11:47,320 --> 00:11:49,640 Speaker 1: like people want to believe in, you know, like that, 179 00:11:49,720 --> 00:11:52,400 Speaker 1: like it's like if someone goes like I shot my 180 00:11:52,440 --> 00:11:57,480 Speaker 1: brother on accident, why is that relevant? Right now because 181 00:11:57,600 --> 00:12:01,720 Speaker 1: because you didn't do it, it's like, what holy it really? Yeah, 182 00:12:01,760 --> 00:12:03,520 Speaker 1: it is like the same thing like with kind of 183 00:12:04,400 --> 00:12:07,200 Speaker 1: and like paul Ty Goldman type ship when your confirmation 184 00:12:07,240 --> 00:12:09,400 Speaker 1: biases set like this. I think there was even a 185 00:12:09,400 --> 00:12:11,160 Speaker 1: scene in Paul Wasn't there scene in Polty Golden and 186 00:12:11,160 --> 00:12:12,760 Speaker 1: people like, oh, no, he's lying. I can tell it, 187 00:12:12,800 --> 00:12:15,800 Speaker 1: Like there was like some yeah, there was like a 188 00:12:15,840 --> 00:12:17,800 Speaker 1: focus group scene and people like can me like, oh, 189 00:12:17,840 --> 00:12:19,800 Speaker 1: this guy's fullish it or whatever. But you also see 190 00:12:19,840 --> 00:12:22,319 Speaker 1: people do this too, and like we're so true crime 191 00:12:22,360 --> 00:12:24,880 Speaker 1: brain too, where you hear people like did you hear 192 00:12:24,920 --> 00:12:28,240 Speaker 1: the nine one one call? I know that's bullshit and 193 00:12:28,280 --> 00:12:30,360 Speaker 1: we really act like it all fits into this neat 194 00:12:30,440 --> 00:12:34,560 Speaker 1: fucking pattern. Yeah. There's so many examples of people who 195 00:12:34,559 --> 00:12:38,800 Speaker 1: were like victims of crimes and the police were like, well, 196 00:12:39,440 --> 00:12:42,680 Speaker 1: you know that this is the telltale sign that I 197 00:12:42,720 --> 00:12:47,720 Speaker 1: remember seeing it. There's one docuseries about a like serial 198 00:12:47,840 --> 00:12:51,320 Speaker 1: rapist who got away with it for a long time 199 00:12:51,360 --> 00:12:55,079 Speaker 1: because the cops just didn't believe the victim who had 200 00:12:55,160 --> 00:12:58,880 Speaker 1: like the best most evidence and like eyewitness account because 201 00:12:59,600 --> 00:13:03,200 Speaker 1: she isn't like crying when they came and she was 202 00:13:03,240 --> 00:13:05,520 Speaker 1: like kind of matter of fact about it. And then 203 00:13:05,960 --> 00:13:12,040 Speaker 1: my favorite example is the Amanda Knox documentary where they 204 00:13:12,120 --> 00:13:15,920 Speaker 1: like the cop was like she was covering herself in 205 00:13:16,200 --> 00:13:19,800 Speaker 1: a comforter um, which is the ultimate sign. Like he 206 00:13:20,679 --> 00:13:23,960 Speaker 1: smoked a pipe and had like a shake not Shakespeare 207 00:13:24,360 --> 00:13:27,840 Speaker 1: Sherlock hat, and he like had all these rules that 208 00:13:28,000 --> 00:13:32,520 Speaker 1: he made up that basically all came came back to. Uh. 209 00:13:32,559 --> 00:13:35,520 Speaker 1: I don't believe women. I don't believe anything that was. 210 00:13:36,000 --> 00:13:38,120 Speaker 1: But yeah, and she had a comfort or wrapped around her, 211 00:13:38,160 --> 00:13:42,040 Speaker 1: which we all know it was lingering. Yes, when a 212 00:13:42,080 --> 00:13:47,360 Speaker 1: woman does that, you see. Um Anyways, Tyree Nichols is trending. 213 00:13:48,160 --> 00:13:52,520 Speaker 1: That is the name of a citizen of Memphis who 214 00:13:52,640 --> 00:13:57,520 Speaker 1: five now former Memphis Police officers murdered beat to death 215 00:13:57,679 --> 00:14:01,120 Speaker 1: earlier this month. Um. The aps have been charged with 216 00:14:01,200 --> 00:14:05,720 Speaker 1: murder and the video of the beating is expected to 217 00:14:05,760 --> 00:14:10,079 Speaker 1: be released. UM. I think tomorrow so or yeah, it 218 00:14:10,160 --> 00:14:13,600 Speaker 1: might be out. I don't know. It's I can't bring 219 00:14:13,600 --> 00:14:17,080 Speaker 1: myself to watch it. Just hearing like the reactions of 220 00:14:17,120 --> 00:14:21,600 Speaker 1: people that have seen it is horrified. It sounds really 221 00:14:21,600 --> 00:14:25,440 Speaker 1: fucked up. Yeah, anyway, so that's why we need to 222 00:14:25,440 --> 00:14:27,760 Speaker 1: get rid of our police and figure out a more 223 00:14:27,800 --> 00:14:30,720 Speaker 1: efficient way to deal with our crime by you know, 224 00:14:30,800 --> 00:14:34,840 Speaker 1: supporting people and not having a fucking merry ground of 225 00:14:34,920 --> 00:14:39,600 Speaker 1: funding that just incentivizes this ship and has basically turned 226 00:14:40,000 --> 00:14:43,120 Speaker 1: like Americans completely against each other. No one can even 227 00:14:43,760 --> 00:14:46,080 Speaker 1: the assumption is every single person is violent and will 228 00:14:46,120 --> 00:14:48,520 Speaker 1: kill you, and that's why you can get in a 229 00:14:48,560 --> 00:14:52,480 Speaker 1: car accident and end up dead. Yeah, but not from 230 00:14:52,480 --> 00:14:55,240 Speaker 1: the car accident, but from merely asking the police route. Yeah, 231 00:14:55,400 --> 00:14:59,240 Speaker 1: the from Yeah, the people who are arriving who are 232 00:14:59,240 --> 00:15:03,880 Speaker 1: supposed to be help, you know, immediately, assuming you know. Yeah, 233 00:15:04,040 --> 00:15:09,000 Speaker 1: it's uh, this is woof yeah, it's I mean, yeah, 234 00:15:09,080 --> 00:15:12,040 Speaker 1: you need you need uh, you need you need accountability. 235 00:15:12,480 --> 00:15:15,400 Speaker 1: Uh and we we need to see what what form 236 00:15:15,480 --> 00:15:19,720 Speaker 1: that comes in. But also real actual fucking to like 237 00:15:19,760 --> 00:15:22,200 Speaker 1: take this problem. All we just keep doing the same 238 00:15:22,320 --> 00:15:24,840 Speaker 1: fucking same over and over and over and over again. 239 00:15:24,880 --> 00:15:27,120 Speaker 1: All the data suggests that this isn't the way to 240 00:15:27,160 --> 00:15:30,000 Speaker 1: do it, like, but we have a real hard time 241 00:15:30,080 --> 00:15:35,520 Speaker 1: letting goats. Yeah. And the other thing is I gotta say, 242 00:15:35,560 --> 00:15:37,880 Speaker 1: I have to say, I have to say the amount 243 00:15:37,880 --> 00:15:41,160 Speaker 1: of Look, the officers that that perpetrated this attack, they 244 00:15:41,200 --> 00:15:44,680 Speaker 1: were black and I've never seen quicker accountability for the 245 00:15:44,680 --> 00:15:46,680 Speaker 1: police than when the officers were black. I'm just gonna 246 00:15:46,720 --> 00:15:49,720 Speaker 1: say that, which is wild. It should be across the board. 247 00:15:49,800 --> 00:15:53,000 Speaker 1: But what it was like only a couple of weeks. Yeah, yeah, 248 00:15:53,040 --> 00:15:55,600 Speaker 1: like that's the other kind of funked up part. And 249 00:15:55,800 --> 00:15:58,480 Speaker 1: I'm not I'm not saying that that should excuse one 250 00:15:58,480 --> 00:16:01,440 Speaker 1: thing or the other. But my god, like to even 251 00:16:01,480 --> 00:16:04,640 Speaker 1: see the disparities even reflected on how quickly we take 252 00:16:04,640 --> 00:16:07,480 Speaker 1: people to account or not take them to account, it's 253 00:16:07,480 --> 00:16:10,720 Speaker 1: like another fucking grim reminder of this place we live in. Yeah, 254 00:16:11,080 --> 00:16:13,960 Speaker 1: because where the blue lives matter people right now, right, 255 00:16:14,320 --> 00:16:16,200 Speaker 1: you know, I'm sure they'd have something to say if 256 00:16:16,200 --> 00:16:18,280 Speaker 1: the people look different. But again, this is a this 257 00:16:18,320 --> 00:16:21,640 Speaker 1: is a much larger issue. But again it is the 258 00:16:21,720 --> 00:16:24,960 Speaker 1: layers of ship and this one is really it's kind 259 00:16:24,960 --> 00:16:29,200 Speaker 1: of sucking me up. Yeah, you'll remember that the you know, 260 00:16:29,240 --> 00:16:31,360 Speaker 1: in the George Floyd case, that that wasn't even a 261 00:16:31,440 --> 00:16:34,040 Speaker 1: video that they were trying to release. That was a 262 00:16:34,160 --> 00:16:41,880 Speaker 1: video that got released because you know, so a bystandard. Yeah, uh, 263 00:16:42,000 --> 00:16:45,560 Speaker 1: succession is trending because there's a new teaser for season 264 00:16:45,600 --> 00:16:51,000 Speaker 1: four that it looks funny it looks Yeah, it looks 265 00:16:51,040 --> 00:16:54,520 Speaker 1: like succession. They have not sucked up the formula, which 266 00:16:54,560 --> 00:16:59,640 Speaker 1: is we fucking hate our dad. He's a bastard. Yeah. Uh. 267 00:16:59,680 --> 00:17:02,440 Speaker 1: And now oh, I mean it's because now they're diametrically 268 00:17:02,440 --> 00:17:05,359 Speaker 1: opposed fully, so it's we get to see them try 269 00:17:05,400 --> 00:17:08,480 Speaker 1: and fight daddy. Uh. And what that happens looks like 270 00:17:08,520 --> 00:17:11,399 Speaker 1: Tom is scheming a little bit. Yeah, Tom is fully 271 00:17:11,400 --> 00:17:16,360 Speaker 1: aligned with Daddy and the kids are all, you know, together, 272 00:17:16,680 --> 00:17:20,359 Speaker 1: trying to bring it down and can't get him on 273 00:17:20,400 --> 00:17:23,639 Speaker 1: the phone. I believe your father would like you to 274 00:17:23,680 --> 00:17:25,800 Speaker 1: call him. No he can. Actually, there's a whole there's 275 00:17:25,840 --> 00:17:27,760 Speaker 1: this you should watch the teaser, but there's this a 276 00:17:27,880 --> 00:17:32,119 Speaker 1: very succession esque moment where like, is it clearly the 277 00:17:32,200 --> 00:17:34,359 Speaker 1: dad's assistant is trying to get the kids to call 278 00:17:34,440 --> 00:17:36,480 Speaker 1: him and reach out, but his ego won't allow it, 279 00:17:36,520 --> 00:17:38,280 Speaker 1: and they're like, no, you should call him, like he 280 00:17:38,320 --> 00:17:40,280 Speaker 1: needs to call us, and like, the best I can 281 00:17:40,280 --> 00:17:42,439 Speaker 1: do is I can get a text from him that 282 00:17:42,520 --> 00:17:49,840 Speaker 1: requests a call, right, ship, All right, shout out to 283 00:17:49,920 --> 00:17:52,919 Speaker 1: the what do they call it again? What's that family? 284 00:17:53,960 --> 00:18:01,359 Speaker 1: The oh murdocks um, the Roys, the Roy's thank you, 285 00:18:01,520 --> 00:18:04,560 Speaker 1: thank you, thank you. Shout out to the roys Um. 286 00:18:04,680 --> 00:18:08,760 Speaker 1: And you know, my brain started saying funck off just generally, 287 00:18:08,840 --> 00:18:11,840 Speaker 1: like a few times a day lately, which is usually 288 00:18:12,200 --> 00:18:14,240 Speaker 1: you know, That's how I know a new sixth season 289 00:18:14,240 --> 00:18:17,520 Speaker 1: of Succession is coming, a new sixth season. You never 290 00:18:17,520 --> 00:18:20,159 Speaker 1: say you never say fun off, just in general, No, 291 00:18:20,440 --> 00:18:26,359 Speaker 1: just just in logan roy Yeah, okay, starts coming, bubbling up, Okay, 292 00:18:26,560 --> 00:18:30,840 Speaker 1: get low again, get logan um. All right, those are 293 00:18:30,880 --> 00:18:33,600 Speaker 1: some of the things that are trending on this Thursday. 294 00:18:33,680 --> 00:18:36,160 Speaker 1: We're back tomorrow with the whole last episode of the show. 295 00:18:36,320 --> 00:18:39,240 Speaker 1: Until then, be kind to each other, be kind to yourselves, 296 00:18:39,320 --> 00:18:42,800 Speaker 1: get the vaccine, don't do nothing about white supremacy, and 297 00:18:42,920 --> 00:18:44,840 Speaker 1: we will talk to you all tomorrow. All right, bye 298 00:18:45,200 --> 00:18:45,480 Speaker 1: bye