1 00:00:00,160 --> 00:00:06,640 Speaker 1: Hello the Internet, and welcome to this episode of Carmen Electron. 2 00:00:07,800 --> 00:00:09,640 Speaker 2: Oh sorry, do we not do the German voice for 3 00:00:10,039 --> 00:00:10,840 Speaker 2: Carmen Electron? 4 00:00:11,240 --> 00:00:13,920 Speaker 1: Is that how you think Germans would say Carmen Electrone? 5 00:00:16,360 --> 00:00:23,800 Speaker 1: I'm Jack bat over there. Well that's Blake what and 6 00:00:23,960 --> 00:00:27,160 Speaker 1: he will be talking in his spot on German accent 7 00:00:27,520 --> 00:00:32,120 Speaker 1: of the entire Utin talk. Oh that was actually good, Blake. 8 00:00:32,880 --> 00:00:33,159 Speaker 2: It was. 9 00:00:33,200 --> 00:00:38,960 Speaker 1: We started talking about uh, Carmen Electra earlier, because it's 10 00:00:39,040 --> 00:00:42,160 Speaker 1: kind of a roundabout the way we got here. We're 11 00:00:43,040 --> 00:00:45,519 Speaker 1: talking about people with fake girlfriends from when we were 12 00:00:45,520 --> 00:00:50,840 Speaker 1: in uh, when we were youngsters in our relative scouting 13 00:00:50,920 --> 00:00:59,080 Speaker 1: troops or or parent paramilitary police organizations. Neither of us 14 00:00:59,120 --> 00:01:01,560 Speaker 1: were in a paramilitary police organization, but we'll have to know. 15 00:01:01,680 --> 00:01:05,679 Speaker 1: Brian the editor on one time to tell that sig cute, 16 00:01:06,160 --> 00:01:10,240 Speaker 1: too cute and I had flat feet. Yeah, But anyways, 17 00:01:10,280 --> 00:01:12,199 Speaker 1: we were talking about that and somebody was like, yeah, 18 00:01:12,240 --> 00:01:15,640 Speaker 1: they made up their girlfriend's name like Carmen Electra, and 19 00:01:15,680 --> 00:01:18,319 Speaker 1: I was like, Carmel Electra is actually too good of 20 00:01:18,319 --> 00:01:20,039 Speaker 1: a name for a kid to come up with, Like, 21 00:01:20,080 --> 00:01:24,720 Speaker 1: that's that is an amazing name. Whoever made that name 22 00:01:24,840 --> 00:01:27,880 Speaker 1: up is a genius, and we learned it was none 23 00:01:27,920 --> 00:01:33,360 Speaker 1: other than Prince who met Carmen Electra as so I'll 24 00:01:33,400 --> 00:01:36,440 Speaker 1: just read directly from I don't know the name of 25 00:01:36,520 --> 00:01:41,399 Speaker 1: the website I found this song ta Le Wikarpedia, Wikipedia. 26 00:01:41,480 --> 00:01:45,760 Speaker 1: Tara Lee Patrick is her name. She was Prince's muse 27 00:01:45,840 --> 00:01:47,880 Speaker 1: and it was the Purple Rand singer who gave her 28 00:01:47,920 --> 00:01:51,680 Speaker 1: the name Carmen Electra. Talking to Vanity Fair, she said 29 00:01:51,720 --> 00:01:54,880 Speaker 1: she met him at his home when she was a teenager. 30 00:01:55,920 --> 00:01:59,200 Speaker 1: After Robin Power. But I have to assume Prince also 31 00:01:59,280 --> 00:02:04,320 Speaker 1: named spotted her in a nightclub in La What a 32 00:02:04,320 --> 00:02:07,760 Speaker 1: weird life that would be that somebody spots you at 33 00:02:07,800 --> 00:02:11,760 Speaker 1: a nightclub as a teenager, like presumably snuck in with 34 00:02:11,880 --> 00:02:16,560 Speaker 1: a fake ID, and somebody named Robin Power is like, hey, 35 00:02:16,760 --> 00:02:21,360 Speaker 1: could I take you to Prince's house? And then Prince says, hey, 36 00:02:21,480 --> 00:02:27,200 Speaker 1: this amazing magical combination of syllables is your name, And 37 00:02:27,560 --> 00:02:29,840 Speaker 1: you're like, okay, and that is the name you go 38 00:02:29,919 --> 00:02:30,680 Speaker 1: buy from then on? 39 00:02:30,800 --> 00:02:34,440 Speaker 2: Yeah, this is my friend Isabelle Thunderstrump. Like also, just 40 00:02:34,480 --> 00:02:36,880 Speaker 2: so you know, it's everyone has a sick name here. 41 00:02:37,280 --> 00:02:38,080 Speaker 1: That's incredible. 42 00:02:38,120 --> 00:02:40,160 Speaker 2: I bet he spent no time on it. Too, Like 43 00:02:40,240 --> 00:02:42,280 Speaker 2: I think that's just an off the top of the 44 00:02:42,320 --> 00:02:45,160 Speaker 2: hell yeah, like one of his many skills. I would 45 00:02:45,160 --> 00:02:48,200 Speaker 2: imagine he could just do that so quickly. Carmen Electra, 46 00:02:48,760 --> 00:02:49,440 Speaker 2: Carmen Electra. 47 00:02:49,520 --> 00:02:51,920 Speaker 1: I bet he like did it, Like, didn't even say 48 00:02:52,000 --> 00:02:54,880 Speaker 1: I'm going to make up a name for you, you know. 49 00:02:55,000 --> 00:02:57,960 Speaker 1: I bet he was just like, your car just started 50 00:02:57,960 --> 00:03:01,880 Speaker 1: calling her Carmen Electra, and it was like, that's your name, now, 51 00:03:02,040 --> 00:03:04,760 Speaker 1: just go with it. What else could her name be? 52 00:03:05,200 --> 00:03:09,960 Speaker 1: Terror Electric? No, her name could be Tara Lee Patrick. 53 00:03:10,440 --> 00:03:16,519 Speaker 1: A worse, worse job by your parents there, Carbon Electra. Yeah, 54 00:03:16,840 --> 00:03:19,240 Speaker 1: pretty sure that that should have just been his job 55 00:03:19,400 --> 00:03:21,720 Speaker 1: in a in a just world, that's what he would 56 00:03:21,960 --> 00:03:25,760 Speaker 1: have done for a living. Is just named all babies. 57 00:03:26,200 --> 00:03:28,560 Speaker 2: And you know, and this is why we're fucked. This 58 00:03:28,600 --> 00:03:30,400 Speaker 2: is why we're like music and. 59 00:03:30,360 --> 00:03:37,920 Speaker 1: We are fucked. Yeah. So obviously there was a horrible tragedy. 60 00:03:38,200 --> 00:03:47,640 Speaker 2: A obviously would be my name if obvious, well obvious, welcome, obviously. 61 00:03:49,200 --> 00:03:54,119 Speaker 1: Horrible tragedy when a black Hawk helicopter collided with a 62 00:03:54,120 --> 00:03:58,640 Speaker 1: American Airlines flight that was going in for landing at 63 00:03:58,720 --> 00:04:03,200 Speaker 1: Ronald Reagan Airport. I think we can just go ahead 64 00:04:03,240 --> 00:04:07,320 Speaker 1: and blame Donald Trump for the thing, not just because 65 00:04:07,320 --> 00:04:10,160 Speaker 1: that's one hundred percent what he would have done if 66 00:04:10,200 --> 00:04:12,880 Speaker 1: he weren't in charge, and what he did, in fact 67 00:04:13,000 --> 00:04:18,840 Speaker 1: do to Biden just a true profiles encourage. As the 68 00:04:18,880 --> 00:04:22,440 Speaker 1: bodies are being pulled out of the Potomac, he called 69 00:04:22,440 --> 00:04:28,080 Speaker 1: a press conference and immediately started blaming Joe Biden, the 70 00:04:28,120 --> 00:04:33,719 Speaker 1: past administration, and de color. So yeah, yeah, people of color. 71 00:04:33,920 --> 00:04:37,200 Speaker 1: But in fact it was he who just froze hiring 72 00:04:37,240 --> 00:04:40,400 Speaker 1: air traffic controllers. It is a you know, we we've 73 00:04:40,440 --> 00:04:45,320 Speaker 1: talked on past episodes how this was inevitable, specifically that 74 00:04:45,400 --> 00:04:50,800 Speaker 1: there is like a shocking rise in near collisions, near 75 00:04:50,880 --> 00:04:55,680 Speaker 1: mid air collisions or like collisions in your at airport, yeah, 76 00:04:55,760 --> 00:04:59,839 Speaker 1: near missus. For the past few years, people experts have 77 00:04:59,839 --> 00:05:04,200 Speaker 1: been and sounding the alarm. But the Biden administration had 78 00:05:04,680 --> 00:05:09,080 Speaker 1: tried to, you know, ramp up the hiring of you know, 79 00:05:09,120 --> 00:05:12,520 Speaker 1: in response to people saying this is a fucking disaster 80 00:05:12,600 --> 00:05:17,280 Speaker 1: in the making. They had ramped up the hiring of 81 00:05:17,600 --> 00:05:21,920 Speaker 1: air traffic controllers. And then you know, Trump basically froze 82 00:05:21,920 --> 00:05:26,480 Speaker 1: all hiring. But like people seem scared to like this 83 00:05:26,800 --> 00:05:30,000 Speaker 1: is kind of wild, like a CNN employee tweeted something 84 00:05:30,040 --> 00:05:33,640 Speaker 1: to the effect of, like, you know, blaming Trump for 85 00:05:34,200 --> 00:05:37,960 Speaker 1: the collision, and then took it down and wrote, I 86 00:05:38,040 --> 00:05:41,080 Speaker 1: fucked up, which just to give you an idea of 87 00:05:41,120 --> 00:05:43,080 Speaker 1: like what's it like to be in the mainstream media 88 00:05:43,279 --> 00:05:48,200 Speaker 1: right now? They seem to be scared as hell of 89 00:05:48,279 --> 00:05:50,760 Speaker 1: Donald Trump, despite the fact that the thing that he 90 00:05:50,839 --> 00:05:54,280 Speaker 1: posted was a screenshot of a press release entitled Trump's 91 00:05:54,360 --> 00:05:58,560 Speaker 1: Dangerous freeze of air traffic control hiring from eight days ago. 92 00:05:59,200 --> 00:06:03,599 Speaker 1: But she's He's like, I better not post that. That's 93 00:06:03,880 --> 00:06:10,600 Speaker 1: too too tramming. Yeah, the president wouldn't want that. So 94 00:06:10,640 --> 00:06:13,719 Speaker 1: there hasn't been a serious commercial plane crash in sixteen years, 95 00:06:14,160 --> 00:06:18,920 Speaker 1: but as mentioned, tons of close calls, usually involving aircrafts 96 00:06:18,920 --> 00:06:23,080 Speaker 1: nearly colliding with one another. We talked before about a 97 00:06:23,120 --> 00:06:25,960 Speaker 1: New York Times investigation from twenty twenty three that found 98 00:06:26,040 --> 00:06:29,479 Speaker 1: that there have been just loads of these that many 99 00:06:29,480 --> 00:06:33,120 Speaker 1: of which had not been made public, but that report 100 00:06:33,200 --> 00:06:36,360 Speaker 1: made them public and experts were like sounding the alarm. 101 00:06:36,920 --> 00:06:40,280 Speaker 1: But I guess the number of near accidents had more 102 00:06:40,320 --> 00:06:43,840 Speaker 1: than doubled compared to data from a decade earlier, and 103 00:06:44,560 --> 00:06:47,880 Speaker 1: the reason for that was a number of things having 104 00:06:47,920 --> 00:06:52,960 Speaker 1: to do with nationwide staffing, shortage and underfunding and all 105 00:06:53,000 --> 00:06:58,080 Speaker 1: the problems that this system for organizing a civilization is 106 00:06:58,600 --> 00:07:01,320 Speaker 1: causing that we're seeing everyone where. I'm sure there will 107 00:07:01,360 --> 00:07:03,560 Speaker 1: be a way that we can blame it on private 108 00:07:03,600 --> 00:07:04,880 Speaker 1: equity at some point. 109 00:07:05,040 --> 00:07:07,880 Speaker 2: It's just a matter of time. I can't imagine why. 110 00:07:07,880 --> 00:07:10,559 Speaker 2: Maybe this is something to put throws some money at, 111 00:07:10,880 --> 00:07:13,280 Speaker 2: you know what I mean, like airplanes colliding in the sky. 112 00:07:13,320 --> 00:07:16,240 Speaker 2: I think the stakes might be high enough to you know, 113 00:07:16,400 --> 00:07:19,000 Speaker 2: up that salary a little bit, maybe actually give these 114 00:07:19,000 --> 00:07:22,800 Speaker 2: people benefits. You know, I'm assuming they don't because why 115 00:07:23,200 --> 00:07:26,360 Speaker 2: why would anything be make any sense? But yeah, it's 116 00:07:27,160 --> 00:07:28,040 Speaker 2: it's horrifying. 117 00:07:28,280 --> 00:07:31,240 Speaker 1: Yeah, it feel it feels like there things are going 118 00:07:31,280 --> 00:07:34,680 Speaker 1: to get as bad as they possibly can. Like that 119 00:07:34,680 --> 00:07:39,160 Speaker 1: that's just you know where like with this administration, and 120 00:07:39,400 --> 00:07:42,120 Speaker 1: I feel like with this administration and like the media 121 00:07:42,200 --> 00:07:45,600 Speaker 1: being in the position that they are where like everybody's 122 00:07:45,640 --> 00:07:48,520 Speaker 1: just kind of pulling their fire or just like kind 123 00:07:48,520 --> 00:07:51,280 Speaker 1: of going along with everything, like they'll be able to 124 00:07:51,320 --> 00:07:56,800 Speaker 1: get pretty bad. I mean with the RFK hearings happening 125 00:07:57,160 --> 00:08:00,520 Speaker 1: as we're recording this, and you know, this being example 126 00:08:00,560 --> 00:08:03,680 Speaker 1: of just like these systems that need to function, that 127 00:08:03,760 --> 00:08:06,520 Speaker 1: are complicated and require a bunch of funding. These are 128 00:08:06,560 --> 00:08:08,800 Speaker 1: all things that like need to happen on a day 129 00:08:08,840 --> 00:08:13,520 Speaker 1: to day basis to like keep our society functioning and 130 00:08:14,040 --> 00:08:18,080 Speaker 1: like operating. If those things stop, which seems like they're 131 00:08:18,120 --> 00:08:21,680 Speaker 1: going to or already have in this administration, then it's 132 00:08:21,680 --> 00:08:24,200 Speaker 1: gonna be it's gonna be bad, and we're gonna start 133 00:08:24,200 --> 00:08:27,320 Speaker 1: seeing shit like this, and I don't know, yeah, but 134 00:08:27,520 --> 00:08:30,960 Speaker 1: hopefully it like causes some sort of resistance that I 135 00:08:31,080 --> 00:08:34,520 Speaker 1: just can't quite see where that's coming from. Right now? 136 00:08:34,760 --> 00:08:38,520 Speaker 2: Do you remember that really weird plot? Did you watch 137 00:08:38,520 --> 00:08:39,120 Speaker 2: Breaking Bad? 138 00:08:39,559 --> 00:08:40,360 Speaker 1: Yes? I did. 139 00:08:40,640 --> 00:08:43,800 Speaker 2: I I would say a flawless show except for this 140 00:08:43,920 --> 00:08:48,199 Speaker 2: one bizarre plot line of like the air traffic controller 141 00:08:48,320 --> 00:08:51,400 Speaker 2: being the dad of like Kristin Ritter and then like 142 00:08:52,000 --> 00:08:55,800 Speaker 2: falling asleep and then that weird like it was. I 143 00:08:55,840 --> 00:08:58,840 Speaker 2: would say not a on a scale of one to 144 00:08:58,920 --> 00:09:01,559 Speaker 2: ten on like a nearly perfect show as far as 145 00:09:01,559 --> 00:09:04,120 Speaker 2: it being a bizarre plot line. I'm like, on a 146 00:09:04,160 --> 00:09:05,839 Speaker 2: normal show would be like a seven or and eight, 147 00:09:05,920 --> 00:09:07,720 Speaker 2: but on that show, or like a two or three, 148 00:09:07,720 --> 00:09:09,120 Speaker 2: but on that show, it's like a eight or a 149 00:09:09,240 --> 00:09:11,160 Speaker 2: nine because the show is so perfect. But I just 150 00:09:11,200 --> 00:09:15,600 Speaker 2: remember watching that and I'm like, wait, what the fuck? Yeah, 151 00:09:15,640 --> 00:09:19,079 Speaker 2: why did that happen? Just yeah, bizarre thing I did. 152 00:09:19,160 --> 00:09:23,439 Speaker 1: I actually liked that plot personally, but just such an asshole. 153 00:09:23,640 --> 00:09:24,640 Speaker 1: I'm such an asshole. 154 00:09:25,000 --> 00:09:30,040 Speaker 2: I hated the way it ended personally the whole show. Yeah, yeah, 155 00:09:30,120 --> 00:09:32,439 Speaker 2: I didn't finish. I didn't watch the finish the final season. 156 00:09:32,440 --> 00:09:35,880 Speaker 2: I was bored out of my fuckingly. No, no, no, of 157 00:09:35,960 --> 00:09:39,400 Speaker 2: course I watched it. I like the whole Walt plot, 158 00:09:39,480 --> 00:09:42,000 Speaker 2: you know, the whole time. I just would fast forward 159 00:09:42,040 --> 00:09:44,240 Speaker 2: through the Walt parts. And I like the Purple Lady. 160 00:09:45,080 --> 00:09:49,880 Speaker 2: The Purple Lady, Yeah, oh yeah, yeah I do. Actually 161 00:09:49,920 --> 00:09:52,199 Speaker 2: I did really like her. I was speaking with a tone, 162 00:09:52,200 --> 00:09:53,480 Speaker 2: but I did actually really like her. 163 00:09:53,720 --> 00:09:56,839 Speaker 1: I thought it was good up until the second or last. 164 00:09:57,040 --> 00:09:59,520 Speaker 1: I have a loose fan theory that I've talked about 165 00:09:59,520 --> 00:10:01,280 Speaker 1: before on the sh so I won't get into it, but 166 00:10:01,280 --> 00:10:04,559 Speaker 1: that he the whole last episode is him just imagining 167 00:10:04,600 --> 00:10:08,120 Speaker 1: it because it doesn't like everything just went exactly the 168 00:10:08,160 --> 00:10:10,600 Speaker 1: way he would want it to. It was like suddenly, 169 00:10:10,760 --> 00:10:12,920 Speaker 1: like Walter White wish fulfillment. 170 00:10:13,160 --> 00:10:13,679 Speaker 2: Interesting. 171 00:10:14,000 --> 00:10:17,439 Speaker 1: So just back to kind of where we're at and 172 00:10:17,480 --> 00:10:20,760 Speaker 1: like what you know, what we saw coming, like what 173 00:10:21,000 --> 00:10:24,560 Speaker 1: everybody saw coming. The Biden administration tried to get funding 174 00:10:24,600 --> 00:10:28,280 Speaker 1: to hire more air traffic controllers. There was this FAA 175 00:10:28,360 --> 00:10:32,080 Speaker 1: Reauthorization Act of twenty twenty four, which passed both the 176 00:10:32,080 --> 00:10:35,559 Speaker 1: House and the Senate, requiring the FA to set maximum 177 00:10:35,679 --> 00:10:39,320 Speaker 1: hiring targets to increase air traffic controller staffing. But the 178 00:10:39,360 --> 00:10:43,320 Speaker 1: bill also contained a measure specifically allowing for more traffic 179 00:10:43,679 --> 00:10:47,040 Speaker 1: at Ronald Reagan Airport, which is one of only two 180 00:10:47,040 --> 00:10:50,599 Speaker 1: airports in the US owned by the government, and opponents 181 00:10:50,640 --> 00:10:54,160 Speaker 1: of that measure pointed out that this would mean dangerously 182 00:10:54,240 --> 00:10:59,640 Speaker 1: overloading the airport's operational capacity to benefit one airline. And 183 00:11:00,320 --> 00:11:02,440 Speaker 1: so I don't think it was American Airlines. I think 184 00:11:02,440 --> 00:11:07,160 Speaker 1: it was Delta, but like a Delta funded pack basically 185 00:11:07,480 --> 00:11:12,080 Speaker 1: got that thing inserted into the legislation so that it 186 00:11:12,559 --> 00:11:17,319 Speaker 1: was allowing for that airport to be overloaded with flights 187 00:11:18,120 --> 00:11:20,280 Speaker 1: so that they could make more money in so that 188 00:11:21,040 --> 00:11:23,760 Speaker 1: politicians could you know, they were on board with it, 189 00:11:23,840 --> 00:11:26,959 Speaker 1: probably both because of the Delta pack but also because 190 00:11:26,960 --> 00:11:30,400 Speaker 1: it allowed them to fly home more easily, like more 191 00:11:30,440 --> 00:11:35,320 Speaker 1: flights out of Washington. Interesting yeah, it's remarkable that Trump 192 00:11:35,400 --> 00:11:38,120 Speaker 1: immediately went up and started putting the finger that like 193 00:11:38,679 --> 00:11:42,880 Speaker 1: as the tragedy was unfolding. But like both parties, you know, 194 00:11:42,960 --> 00:11:48,880 Speaker 1: they pushed through that bill with the overloaded Reagan thing 195 00:11:49,120 --> 00:11:51,200 Speaker 1: in there. But yeah, the helpful part of the bill 196 00:11:51,280 --> 00:11:56,439 Speaker 1: was essentially eradicated by Trump's illegal hiring freeze, where he 197 00:11:56,559 --> 00:12:01,280 Speaker 1: was immediately like stopped all federal funds on things. And 198 00:12:01,640 --> 00:12:04,120 Speaker 1: on top of that, as soon as he took off, 199 00:12:04,120 --> 00:12:07,040 Speaker 1: as he fired the heads of the Transportation Security Administration 200 00:12:07,320 --> 00:12:10,760 Speaker 1: and Coastguard before their terms were up, and eliminated all 201 00:12:10,800 --> 00:12:15,200 Speaker 1: the members of a key aviation security advisory group. So 202 00:12:15,720 --> 00:12:20,200 Speaker 1: you know, just all the big swing and dick fire everybody. 203 00:12:20,520 --> 00:12:24,760 Speaker 1: You don't get funding unless you agree to spy on 204 00:12:25,080 --> 00:12:29,440 Speaker 1: my right to literally kiss my ass and spy on 205 00:12:29,559 --> 00:12:33,880 Speaker 1: people for being too diversity that it turns out, shockingly 206 00:12:34,120 --> 00:12:37,320 Speaker 1: came back to bite us all in the ass. So 207 00:12:37,679 --> 00:12:42,000 Speaker 1: still very early, but just a horrifying situation all around. 208 00:12:42,520 --> 00:12:47,720 Speaker 1: And really, yeah, it's just like a race between how 209 00:12:48,400 --> 00:12:51,679 Speaker 1: bad he can be at his job and like how 210 00:12:51,760 --> 00:12:55,240 Speaker 1: much power he can grab before it becomes evident to 211 00:12:55,240 --> 00:12:59,800 Speaker 1: everybody that like he's a failed leader who is going 212 00:12:59,840 --> 00:13:03,800 Speaker 1: to kill a lot of people. It seems like the 213 00:13:03,840 --> 00:13:04,840 Speaker 1: situation that we're. 214 00:13:04,720 --> 00:13:08,280 Speaker 2: In, and how quickly he because he called the press 215 00:13:08,280 --> 00:13:11,880 Speaker 2: conference to do it, where it almost reminds me of 216 00:13:12,040 --> 00:13:14,400 Speaker 2: like a child, you know, like you walk into the 217 00:13:14,480 --> 00:13:16,760 Speaker 2: room and the kid just goes nothing, and it's like, wait, 218 00:13:17,120 --> 00:13:17,600 Speaker 2: what did you do? 219 00:13:17,640 --> 00:13:19,200 Speaker 1: What did you do? What you do? 220 00:13:19,640 --> 00:13:22,200 Speaker 2: What you're doing? In this case, Yeah, he fired all 221 00:13:22,200 --> 00:13:24,760 Speaker 2: the people who were in charge, and that's funding away 222 00:13:24,800 --> 00:13:26,760 Speaker 2: from preventing disastrous like this. 223 00:13:27,160 --> 00:13:29,960 Speaker 1: All right, let's take a quick break and we'll be back, 224 00:13:39,840 --> 00:13:43,560 Speaker 1: and we're back. Well. Ai the world of ai, and 225 00:13:43,760 --> 00:13:48,200 Speaker 1: what goes around comes around. News open ai is complaining 226 00:13:48,240 --> 00:13:53,480 Speaker 1: about being plagiarized by the Chinese AI model deep Seek. 227 00:13:54,280 --> 00:13:58,000 Speaker 1: They're saying that deep seek used open ais data unfairly 228 00:13:58,160 --> 00:14:04,079 Speaker 1: and without compensation, and that's not fair. Okay, that's wrong. 229 00:14:04,440 --> 00:14:06,720 Speaker 1: This is a headline from four oh four Media open 230 00:14:06,760 --> 00:14:09,920 Speaker 1: ai furious deep seek might have stolen all the data 231 00:14:10,040 --> 00:14:14,120 Speaker 1: open ai stole from us. Obviously hilarious considering that open 232 00:14:14,160 --> 00:14:19,080 Speaker 1: ai is essentially powered by plagiarism. It's made by out 233 00:14:19,120 --> 00:14:25,960 Speaker 1: of plagiarism to help the seamless plagiarizing of things. You 234 00:14:26,000 --> 00:14:29,760 Speaker 1: know a plagiarism engine. Yeah. One report from last year 235 00:14:29,800 --> 00:14:33,200 Speaker 1: found that sixty percent of open AI's GPT three point 236 00:14:33,240 --> 00:14:35,840 Speaker 1: five outputs contained some form of plagiarism. 237 00:14:36,120 --> 00:14:39,360 Speaker 2: Sixty percent was how couldn't it? How could it not? 238 00:14:40,040 --> 00:14:42,480 Speaker 1: It's just remixing existing content. 239 00:14:42,760 --> 00:14:43,560 Speaker 2: No, it's learning. 240 00:14:44,000 --> 00:14:46,720 Speaker 1: Yeah, you hate to see it, folks. You really do 241 00:14:47,080 --> 00:14:49,600 Speaker 1: love being in a country where I'm like openly rooting 242 00:14:49,640 --> 00:14:54,200 Speaker 1: against the everybody in power because they're so bad and 243 00:14:54,440 --> 00:14:58,200 Speaker 1: going to just make things worse and worse. Yeah, how is. 244 00:14:58,200 --> 00:15:00,920 Speaker 2: Deep Seek the good guy? I don't want to root 245 00:15:00,920 --> 00:15:03,720 Speaker 2: for deep Seek. It don't make me root for deep Seek. 246 00:15:04,320 --> 00:15:08,640 Speaker 1: Yeah, it's pretty frustrating, pretty bad situation. Are you a 247 00:15:08,680 --> 00:15:10,840 Speaker 1: white Lotus person? You're a white Lotus fan? 248 00:15:10,880 --> 00:15:13,880 Speaker 2: Blake, I am. I love I love it and I'm 249 00:15:13,920 --> 00:15:17,600 Speaker 2: psyched for Goggins. Baby, I'm a huge Yeah. 250 00:15:17,400 --> 00:15:21,360 Speaker 1: So they just I'm like big Goghead myself, Like the 251 00:15:21,040 --> 00:15:24,320 Speaker 1: Goggins and Vice Principles is like one of my favorite 252 00:15:24,400 --> 00:15:25,440 Speaker 1: characters of all time. 253 00:15:25,800 --> 00:15:31,600 Speaker 2: A very underrated show, very funny. Yeah, it's great. 254 00:15:31,880 --> 00:15:35,560 Speaker 1: For people who don't know it's Goggins. The Danny McBride 255 00:15:35,920 --> 00:15:41,680 Speaker 1: in just one of the most unhinged shows like Righteous Gemstones, 256 00:15:41,720 --> 00:15:44,360 Speaker 1: but it's about vice principles, but in a school, yeah, 257 00:15:44,400 --> 00:15:44,840 Speaker 1: in a school. 258 00:15:44,920 --> 00:15:45,080 Speaker 2: Yeah. 259 00:15:45,200 --> 00:15:49,880 Speaker 1: Yeah. Anyways, we got two big trailer HBO trailer drops 260 00:15:49,880 --> 00:15:51,920 Speaker 1: in the past couple of days. One of them is 261 00:15:52,000 --> 00:15:57,280 Speaker 1: White Lotus Season three, which looks about like what I 262 00:15:57,280 --> 00:16:02,080 Speaker 1: would expect from a White Lotus in Thailand. My one 263 00:16:02,720 --> 00:16:06,280 Speaker 1: note of caution, I don't know if that that doesn't 264 00:16:06,280 --> 00:16:08,880 Speaker 1: make sense. But the one thing that I wasn't saying, 265 00:16:09,080 --> 00:16:11,240 Speaker 1: Walton Goggin seems to be playing someone who's like just 266 00:16:11,280 --> 00:16:15,120 Speaker 1: like kind of exhausted, and I feel like I like 267 00:16:15,200 --> 00:16:17,600 Speaker 1: him when he's got a little verve to him. You know, 268 00:16:18,200 --> 00:16:20,680 Speaker 1: he's got a little uncle baby Billy, he's got a 269 00:16:20,680 --> 00:16:23,040 Speaker 1: little uh, you know whatever his character's name was, and 270 00:16:23,320 --> 00:16:24,080 Speaker 1: vice principles. 271 00:16:25,000 --> 00:16:27,600 Speaker 2: If you can take away that guy's charisma, you got it. 272 00:16:27,640 --> 00:16:28,960 Speaker 2: Do you gotta do it? 273 00:16:29,040 --> 00:16:31,520 Speaker 1: Exactly? That's what I'm saying. Like he's playing like a 274 00:16:31,640 --> 00:16:34,880 Speaker 1: rich white guy who's like tired, and I'm just like, 275 00:16:35,000 --> 00:16:37,920 Speaker 1: I don't know, like that's those guys are the fucking worst, 276 00:16:38,280 --> 00:16:40,920 Speaker 1: Like I'm so tired of That would be my one 277 00:16:41,760 --> 00:16:45,680 Speaker 1: problem with like past seasons is like there they are. 278 00:16:45,720 --> 00:16:49,360 Speaker 1: They do have a bunch of really boring, insufferable people 279 00:16:49,640 --> 00:16:52,760 Speaker 1: at the middle of it. Some of them, it's pretty 280 00:16:53,240 --> 00:16:55,920 Speaker 1: I don't know, you're like, oh, I do know that person, 281 00:16:56,120 --> 00:17:00,720 Speaker 1: and that is an incisive dissection of that type of person. 282 00:17:01,120 --> 00:17:03,880 Speaker 2: Yeah, it is funny. Or oh if if he was 283 00:17:03,920 --> 00:17:08,600 Speaker 2: able to make a neo Nazi in Justified likable, you know, 284 00:17:08,760 --> 00:17:11,000 Speaker 2: like he might be able to do it with a 285 00:17:11,119 --> 00:17:12,040 Speaker 2: rich guy on vacation. 286 00:17:12,080 --> 00:17:14,200 Speaker 1: Yeah, I think I still left. 287 00:17:14,359 --> 00:17:16,560 Speaker 2: And they're both pretty bad. Yeah, and some are the same. 288 00:17:16,640 --> 00:17:19,800 Speaker 1: Mm hmmm, Sorry, I needed my fruit. 289 00:17:20,200 --> 00:17:23,600 Speaker 2: You need listen. Never get between Jack and his fruit. 290 00:17:24,320 --> 00:17:26,800 Speaker 1: Don't get between me and my mango. Did you ever get. 291 00:17:26,680 --> 00:17:28,359 Speaker 2: That advice as a kid. My wife and I were 292 00:17:28,400 --> 00:17:30,399 Speaker 2: laughing about this the other day, where like our moms, 293 00:17:30,640 --> 00:17:34,240 Speaker 2: it gave us like very similar advice about being safe 294 00:17:34,280 --> 00:17:37,639 Speaker 2: around dogs. Where one makes sense, it's like, never touch 295 00:17:37,680 --> 00:17:40,720 Speaker 2: a dog when it's eating it's food is one where 296 00:17:40,720 --> 00:17:43,800 Speaker 2: it's like, okay, I can see that. But then there 297 00:17:43,840 --> 00:17:45,840 Speaker 2: was another one where my mom was very seriously like, 298 00:17:46,240 --> 00:17:51,320 Speaker 2: never ever touch a dog's tail, And I like don't 299 00:17:51,359 --> 00:17:54,120 Speaker 2: know what the thinking was behind that. So I think 300 00:17:54,200 --> 00:17:56,920 Speaker 2: until my late twenties, I would just like you can't. 301 00:17:57,000 --> 00:17:58,760 Speaker 2: Even if you're petting a dog and it's friendly, you 302 00:17:58,800 --> 00:18:01,280 Speaker 2: touch that tail, that thing will flip. That thing will 303 00:18:01,280 --> 00:18:03,399 Speaker 2: get rabbied immediately. And it's like, I guess you can 304 00:18:03,600 --> 00:18:04,920 Speaker 2: just touch a dog's tail. It doesn't. 305 00:18:05,560 --> 00:18:08,320 Speaker 1: It's like a little Rabies switch. You didn't know exactly. Yeah, 306 00:18:10,080 --> 00:18:13,159 Speaker 1: it's a lever. We didn't have dogs growing up because 307 00:18:13,560 --> 00:18:17,159 Speaker 1: my little sister had a phobia of dogs, and so 308 00:18:17,520 --> 00:18:20,800 Speaker 1: we just never had them, and my parents I didn't 309 00:18:20,840 --> 00:18:23,200 Speaker 1: know they existed. I got out into the adult world 310 00:18:23,200 --> 00:18:26,200 Speaker 1: and I was like, what the fuck is that? Yo? 311 00:18:26,440 --> 00:18:33,800 Speaker 1: What is so good? God sing? What is on that belt? 312 00:18:33,920 --> 00:18:39,240 Speaker 1: Your character? What was on that extremely large belt thick string? Yeah? 313 00:18:39,240 --> 00:18:42,520 Speaker 1: The only the only dog advice I had gotten entering 314 00:18:42,880 --> 00:18:46,840 Speaker 1: adulthood was to let sleeping dogs lie, yeah, which was 315 00:18:46,920 --> 00:18:49,159 Speaker 1: usually given to me by priests for some reason. 316 00:18:49,880 --> 00:18:52,280 Speaker 2: I don't know if I remember about saying that. And 317 00:18:52,720 --> 00:18:55,080 Speaker 2: this was after you were diagnosed with having the dog 318 00:18:55,200 --> 00:18:56,080 Speaker 2: in you. 319 00:18:56,160 --> 00:19:00,880 Speaker 1: Yeah, yeah, I have been that dog in me. Unfortunately, 320 00:19:00,960 --> 00:19:04,080 Speaker 1: the dog is very sick and docile. It's just the 321 00:19:04,160 --> 00:19:06,920 Speaker 1: dog I had ready always rolls over and shows its 322 00:19:07,200 --> 00:19:13,480 Speaker 1: stomach to other dogs. The dog guy got in me. Yeah, yeah, 323 00:19:13,960 --> 00:19:18,359 Speaker 1: that was my last dog was really cute guy, the 324 00:19:18,640 --> 00:19:22,440 Speaker 1: eyes facing in like just all different directions, just a 325 00:19:22,520 --> 00:19:28,879 Speaker 1: complete mess, wheezing all the time. But the land Speed records, 326 00:19:28,880 --> 00:19:32,760 Speaker 1: he would say Finny was his name in rolling over 327 00:19:32,840 --> 00:19:36,720 Speaker 1: and showing his belly to anything and anyone and any 328 00:19:36,840 --> 00:19:40,400 Speaker 1: dog was really kind of remarkable. He was just like, Hey, 329 00:19:41,640 --> 00:19:45,879 Speaker 1: you're gonna want to see this. I love that Finny 330 00:19:45,880 --> 00:19:50,600 Speaker 1: boy rip to a real one. And finally we got 331 00:19:50,960 --> 00:19:54,760 Speaker 1: Quentin Tarantino, who gave a talk at sun Dance. I 332 00:19:54,800 --> 00:19:57,240 Speaker 1: guess this is around the time that his he he 333 00:19:57,240 --> 00:19:59,359 Speaker 1: had announced that his final movie was going to be 334 00:19:59,400 --> 00:20:01,440 Speaker 1: called The Critic. He's going to be about a film 335 00:20:01,440 --> 00:20:06,399 Speaker 1: critic who he liked writing film criticism in the late seventies, 336 00:20:06,960 --> 00:20:11,240 Speaker 1: and then he was like, nah, fuck that. And now 337 00:20:11,280 --> 00:20:14,080 Speaker 1: he just like gave a sun Dance interview where he 338 00:20:14,160 --> 00:20:17,480 Speaker 1: claimed that movies haven't been a thing since twenty nineteen, 339 00:20:17,840 --> 00:20:21,240 Speaker 1: basically saying like the pandemic allowed distributors to shorten the 340 00:20:21,280 --> 00:20:25,760 Speaker 1: windows between theatrical release and home video releases, but he's 341 00:20:25,800 --> 00:20:29,600 Speaker 1: taken that to be like, and therefore none of these 342 00:20:29,640 --> 00:20:31,600 Speaker 1: movies count. They're not real. 343 00:20:32,000 --> 00:20:35,880 Speaker 2: They're long specials that They're specials, is what they are. 344 00:20:35,920 --> 00:20:36,480 Speaker 2: They're not movies. 345 00:20:37,640 --> 00:20:40,080 Speaker 1: I think we need to fight for movies personally, Like 346 00:20:40,119 --> 00:20:43,320 Speaker 1: I feel like streaming content for the most part is 347 00:20:43,480 --> 00:20:48,120 Speaker 1: fairly disposable and movies are like better, And there's still 348 00:20:48,119 --> 00:20:51,760 Speaker 1: an appreciable difference between the two for me, like movies 349 00:20:51,800 --> 00:20:54,879 Speaker 1: stick with me and streaming content just like never really 350 00:20:54,920 --> 00:20:57,680 Speaker 1: sticks to me other than like a handful of shows 351 00:20:57,720 --> 00:21:01,639 Speaker 1: like The Wire and some seasons of Breaking Bad. But 352 00:21:01,840 --> 00:21:04,960 Speaker 1: in the real world, Yeah, the real world, did you say? 353 00:21:05,359 --> 00:21:08,640 Speaker 2: Yeah? Yeah, of course, And I burnt through that this week, 354 00:21:10,359 --> 00:21:11,760 Speaker 2: the whole all forty eight. 355 00:21:11,760 --> 00:21:13,480 Speaker 1: I'm caught up on the real world. 356 00:21:13,800 --> 00:21:15,639 Speaker 2: Yeah, I'm ready for the next, the next one. I 357 00:21:15,640 --> 00:21:17,800 Speaker 2: actually never I don't think I've ever watched it, but 358 00:21:18,680 --> 00:21:22,040 Speaker 2: I yeah, when it comes to streaming, it does stick 359 00:21:22,080 --> 00:21:24,280 Speaker 2: with you because you don't have more of it, I guess, 360 00:21:24,400 --> 00:21:26,679 Speaker 2: like because it's as if like, Okay, I met these 361 00:21:26,720 --> 00:21:29,280 Speaker 2: people that I really liked I'm talking about like movies, 362 00:21:29,320 --> 00:21:32,000 Speaker 2: and then like I don't get to see them ever again. 363 00:21:32,480 --> 00:21:35,880 Speaker 2: And then with series, especially if the whole like multiple 364 00:21:35,880 --> 00:21:37,520 Speaker 2: seasons are out, it's like, oh, I get to keep 365 00:21:37,560 --> 00:21:39,480 Speaker 2: hanging out with these people over and over and over again, 366 00:21:39,520 --> 00:21:41,760 Speaker 2: and then by the time they leave, it's like, all right, well. 367 00:21:41,880 --> 00:21:44,960 Speaker 1: I was ready for them to leave halfway. Yeah, yeah, yeah. 368 00:21:45,000 --> 00:21:48,199 Speaker 1: It's particularly funny take given that twenty nineteen just so 369 00:21:48,240 --> 00:21:50,920 Speaker 1: happens to be the last year that he released a movie. Hmmm, 370 00:21:51,640 --> 00:21:56,800 Speaker 1: So which one was that? Is the Hollywood one? Yeah? Yeah, yeah. 371 00:21:56,920 --> 00:22:03,920 Speaker 1: Lifetimes Hollywood, Hollywood Forever, forever, Hollywood Nights, Hot stays in 372 00:22:04,160 --> 00:22:05,960 Speaker 1: Hollywood Nights. 373 00:22:06,560 --> 00:22:09,080 Speaker 2: You should bring back movies. Tarantino a guy who bought 374 00:22:09,080 --> 00:22:10,040 Speaker 2: a fucking movie theater. 375 00:22:10,960 --> 00:22:13,119 Speaker 1: No more movies. He now says that he's working on 376 00:22:13,160 --> 00:22:15,640 Speaker 1: a play instead of making the final film he's been 377 00:22:15,680 --> 00:22:19,320 Speaker 1: talking about for years. So they maybe we're gonna cut 378 00:22:19,359 --> 00:22:24,440 Speaker 1: out at nine. But I don't know. Uh, that's all 379 00:22:24,440 --> 00:22:29,160 Speaker 1: I got, man, I don't fucking know. Uh. Bad day 380 00:22:29,720 --> 00:22:32,400 Speaker 1: at bad bad times in this country. 381 00:22:32,480 --> 00:22:35,359 Speaker 2: But at least Quentin Tarantino's writing a play. 382 00:22:35,800 --> 00:22:38,840 Speaker 1: These Quentin Tarantino's writing a play. So that's something we 383 00:22:38,880 --> 00:22:41,320 Speaker 1: can all think. I'd see a play written by him 384 00:22:41,560 --> 00:22:44,600 Speaker 1: like his His dialogue is entertaining. 385 00:22:44,200 --> 00:22:48,879 Speaker 2: And with live rounds and whatever whatever he's gonna do 386 00:22:50,040 --> 00:22:51,000 Speaker 2: keep things interesting. 387 00:22:51,440 --> 00:22:53,639 Speaker 1: Yeah, all right, well, those are some of the things 388 00:22:53,680 --> 00:22:58,240 Speaker 1: that are trending on this Thursday, January thirtieth. We are 389 00:22:58,280 --> 00:23:01,080 Speaker 1: back tomorrow with the whole lest episode of the show Blake. 390 00:23:01,160 --> 00:23:05,080 Speaker 1: Where can people find you? Follow you, see you all 391 00:23:05,119 --> 00:23:05,920 Speaker 1: that could stuff? 392 00:23:05,960 --> 00:23:09,320 Speaker 2: People can find me and follow me at Blake Wexler 393 00:23:09,400 --> 00:23:11,640 Speaker 2: on all social media stand up. I have some live 394 00:23:11,720 --> 00:23:15,760 Speaker 2: dates coming up martch thirteenth. You can see me live. 395 00:23:15,880 --> 00:23:18,840 Speaker 2: It's like a play, like you know, yeah, it's like 396 00:23:18,840 --> 00:23:19,760 Speaker 2: a play me to make. 397 00:23:19,840 --> 00:23:22,240 Speaker 1: A Tarantino play. There will be life rounds. 398 00:23:22,359 --> 00:23:25,919 Speaker 2: It's examply well as always and rounds of applause. 399 00:23:27,320 --> 00:23:28,200 Speaker 1: Oh that's what I meant. 400 00:23:28,320 --> 00:23:30,800 Speaker 2: Yeah, oh so yes, no, of course, yeah, I just 401 00:23:31,080 --> 00:23:35,520 Speaker 2: like saying synonyms for things. March thirteenth, Fort Collins, Colorado 402 00:23:35,600 --> 00:23:39,920 Speaker 2: at the Comedy Fort March fifteenth the Ice House, which 403 00:23:39,960 --> 00:23:44,320 Speaker 2: is in Los Angeles, and then April fifth through the 404 00:23:44,359 --> 00:23:47,240 Speaker 2: sixth they'll be in Minneapolis at Sissipis And all those 405 00:23:47,240 --> 00:23:50,120 Speaker 2: tickets are available in my social media bios and at 406 00:23:50,119 --> 00:23:51,520 Speaker 2: Blake Wexler dot com. 407 00:23:51,720 --> 00:23:54,640 Speaker 1: There you go, all right, Well, thank you so much 408 00:23:54,640 --> 00:23:57,080 Speaker 1: for all the thank you all the guest hosting work 409 00:23:57,400 --> 00:24:00,320 Speaker 1: you've put in. We appreciate it. 410 00:24:00,080 --> 00:24:03,640 Speaker 2: It's always fun and yeah, obviously thinking about Miles and 411 00:24:03,680 --> 00:24:04,240 Speaker 2: his family. 412 00:24:04,640 --> 00:24:08,359 Speaker 1: Yeah, yeah, should be back soon. That is going to 413 00:24:08,440 --> 00:24:12,080 Speaker 1: do it for us this afternoon. We are back tomorrow 414 00:24:12,200 --> 00:24:14,560 Speaker 1: with the Who, last episode of the show. Until then, 415 00:24:15,000 --> 00:24:18,000 Speaker 1: be kind to each other, be kind to yourselves, get 416 00:24:18,000 --> 00:24:20,960 Speaker 1: the vaccine, get your flu shots, don't do nothing about 417 00:24:20,960 --> 00:24:29,359 Speaker 1: white supremacy, and we will talk to you all tomorrow. Bye.