1 00:00:11,000 --> 00:00:15,320 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:15,360 --> 00:00:19,360 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Caddy. 3 00:00:19,320 --> 00:00:26,319 Speaker 2: Armstrong and Jackie and he arm Draw get it. 4 00:00:29,760 --> 00:00:34,120 Speaker 1: Live from my home office. It's clearly a bola. And 5 00:00:34,200 --> 00:00:36,760 Speaker 1: to find out that Elon and Doge cut a bola 6 00:00:36,800 --> 00:00:38,280 Speaker 1: funding is bad news for those. 7 00:00:38,159 --> 00:00:42,239 Speaker 2: Of us with with obola ebo. Oh the irony, I know, 8 00:00:42,440 --> 00:00:45,040 Speaker 2: isn't it. I was pro Doge he cuts ebola. I 9 00:00:45,080 --> 00:00:47,199 Speaker 2: get a bola. That's how the wife works. 10 00:00:47,479 --> 00:00:49,839 Speaker 3: I noticed you were bleeding from the eyeballs. Didn't want 11 00:00:49,840 --> 00:00:51,960 Speaker 3: to bring it up. You know, you thought it was 12 00:00:51,960 --> 00:00:52,599 Speaker 3: my other thing. 13 00:00:54,400 --> 00:00:59,120 Speaker 1: Live from wherever we all are all collectively in the 14 00:00:59,240 --> 00:01:03,280 Speaker 1: Armstrong Young getting the communications compound. And today what counts 15 00:01:03,320 --> 00:01:05,959 Speaker 1: exactly and today we're under the tutelage of our general manager. 16 00:01:06,760 --> 00:01:08,680 Speaker 2: I'm torn, Jack, I'm torn. Number one. 17 00:01:08,800 --> 00:01:12,720 Speaker 1: I despy celebrity worship number two. I have said a 18 00:01:12,760 --> 00:01:15,360 Speaker 1: thousand times I don't care about an actor's opinion on 19 00:01:15,440 --> 00:01:17,920 Speaker 1: anything more than I do an orthodonist or truck driver. 20 00:01:18,000 --> 00:01:21,160 Speaker 1: On the other hand, the many performances of the great 21 00:01:21,280 --> 00:01:24,240 Speaker 1: Gene Hackman have brought a hell of a lot of 22 00:01:24,400 --> 00:01:29,400 Speaker 1: joy and thought and the rest of it enjoyment through 23 00:01:29,400 --> 00:01:29,759 Speaker 1: the years. 24 00:01:29,760 --> 00:01:32,800 Speaker 2: So Gene Ackman has passed. He is our honorary general manager. 25 00:01:32,920 --> 00:01:35,080 Speaker 1: Passed in an odd way. So he and his wife 26 00:01:35,160 --> 00:01:38,160 Speaker 1: and dog found dead in their home. But no suspicion 27 00:01:38,160 --> 00:01:41,640 Speaker 1: of foul play. What's your guest there. I think everybody's 28 00:01:41,680 --> 00:01:43,320 Speaker 1: mind is going to the same thing, some sort of 29 00:01:43,400 --> 00:01:50,840 Speaker 1: carbon monoxide problem or similar phenomenon. So not suicide, you know, 30 00:01:50,880 --> 00:01:54,840 Speaker 1: I think it's some sort of that would be foul play. 31 00:01:54,880 --> 00:01:58,960 Speaker 1: Even if you kill yourself, it's foul play. Well, the 32 00:01:59,040 --> 00:02:02,400 Speaker 1: dog didn't kill him, or maybe he did. It's not 33 00:02:02,440 --> 00:02:06,120 Speaker 1: a crimeal he was then dog. No, No, it's just 34 00:02:06,400 --> 00:02:08,840 Speaker 1: all the accounts I've read. If it had been a murder, suicide, 35 00:02:08,919 --> 00:02:11,800 Speaker 1: or even a multiple suicide, it would have made that clear. 36 00:02:13,080 --> 00:02:15,040 Speaker 1: She was in her early sixties, he was in his 37 00:02:15,120 --> 00:02:18,480 Speaker 1: early nineties. Sixty five, ninety five, I believe. If they're 38 00:02:18,560 --> 00:02:22,839 Speaker 1: both in their nineties, was seventy four. If they're both 39 00:02:22,880 --> 00:02:24,840 Speaker 1: in their nineties, then you might think, well, you know, 40 00:02:24,880 --> 00:02:26,680 Speaker 1: they're at the end of their lives, and they thought, 41 00:02:27,320 --> 00:02:29,639 Speaker 1: but no, she's only like sixty two or something like that. 42 00:02:30,840 --> 00:02:33,760 Speaker 2: So you think some sort of gas leak. Yeah, yeah, 43 00:02:34,480 --> 00:02:36,240 Speaker 2: very similar, one hundred percent. Yeah. 44 00:02:36,320 --> 00:02:39,240 Speaker 1: Well, aside from the strangeness around the death, which I'm 45 00:02:39,240 --> 00:02:42,720 Speaker 1: sure they'll announce today, he's my all time favorite actor. 46 00:02:42,800 --> 00:02:44,320 Speaker 1: I mean back in the day, I would go to 47 00:02:44,400 --> 00:02:46,160 Speaker 1: any movie that hadn't Gene Hackman in it. 48 00:02:46,800 --> 00:02:52,080 Speaker 2: Yeah, not a bad maneuver. He was absolutely fantastic. But 49 00:02:52,200 --> 00:02:55,520 Speaker 2: he's yead. His time was long ago. 50 00:02:55,760 --> 00:02:57,840 Speaker 1: The movie they keep mentioning, the French Connection, which he 51 00:02:57,840 --> 00:03:00,160 Speaker 1: won his first Oscar for, was nineteen seventy. 52 00:03:00,600 --> 00:03:02,119 Speaker 2: Good god, that's. 53 00:03:02,000 --> 00:03:06,440 Speaker 3: Fifty four years ago, so right, right, And as we've discussed, 54 00:03:06,639 --> 00:03:09,520 Speaker 3: I think picking a single favorite anything's a little silly, 55 00:03:09,560 --> 00:03:12,799 Speaker 3: but as a topic why not. I've often cited, unforgiven, 56 00:03:13,040 --> 00:03:15,680 Speaker 3: the Clint Eastwood Western is my all time favorite movie 57 00:03:15,880 --> 00:03:18,200 Speaker 3: and Gene Hackman was a huge part of that and 58 00:03:18,200 --> 00:03:19,919 Speaker 3: won a Best Supporting Actor for that. 59 00:03:20,240 --> 00:03:23,200 Speaker 2: Yeah, my favorite Gene Hackman role is Mississippi Burning. Got 60 00:03:23,320 --> 00:03:26,000 Speaker 2: his goal so good? Oh man, man. 61 00:03:26,040 --> 00:03:28,040 Speaker 1: I was watching some highlights last night after I heard 62 00:03:28,040 --> 00:03:31,760 Speaker 1: the news on YouTube. Anyway, so you got that news. 63 00:03:32,480 --> 00:03:35,760 Speaker 1: Have you watched any of the videos of Elon at 64 00:03:35,760 --> 00:03:38,200 Speaker 1: the cabinet meeting yesterday? 65 00:03:38,520 --> 00:03:40,480 Speaker 2: Yes? Oh yeah, Well, what's your take on that. 66 00:03:41,080 --> 00:03:43,320 Speaker 1: I don't I want to say what I think until 67 00:03:43,360 --> 00:03:45,640 Speaker 1: I hear you say what you think, because I don't 68 00:03:45,640 --> 00:03:46,720 Speaker 1: want to prejudice anybody. 69 00:03:46,760 --> 00:03:53,640 Speaker 2: But it struck me a certain way. Yeah, yeah, it's funny. 70 00:03:53,640 --> 00:03:57,360 Speaker 2: I found myself speculating what you're gonna say. My reaction 71 00:03:57,480 --> 00:03:59,400 Speaker 2: to it was it seemed lighthearted. 72 00:03:59,560 --> 00:04:02,560 Speaker 3: I was in favor of of all of it. It's 73 00:04:02,600 --> 00:04:05,480 Speaker 3: in the imperfect process. But I came away cheery. 74 00:04:06,480 --> 00:04:10,680 Speaker 1: I felt like the cabinet, the actual cabinet, the strict 75 00:04:10,720 --> 00:04:15,600 Speaker 1: structure of our government cabinet, really wasn't digging it. I 76 00:04:15,640 --> 00:04:17,880 Speaker 1: mean I rewatched, I went back and watch it over 77 00:04:17,920 --> 00:04:23,040 Speaker 1: and over again, watching individual faces hegg Zeth Rubio, RFK Junior. 78 00:04:23,440 --> 00:04:24,279 Speaker 2: They didn't. 79 00:04:24,320 --> 00:04:28,640 Speaker 1: There was not a moment of light hearted amusement on 80 00:04:28,720 --> 00:04:31,200 Speaker 1: their faces at any point during any of it. 81 00:04:31,720 --> 00:04:32,800 Speaker 2: How interesting, huh? 82 00:04:32,880 --> 00:04:36,640 Speaker 1: And I you know, I don't know. I'm only seeing 83 00:04:36,640 --> 00:04:40,160 Speaker 1: clips of a multi hour meeting. You catch me in 84 00:04:40,200 --> 00:04:43,080 Speaker 1: a multi hour meeting, I'm gonna look pretty sour. I 85 00:04:43,120 --> 00:04:45,320 Speaker 1: guarantee it. I mean, you know you want to most 86 00:04:45,360 --> 00:04:47,920 Speaker 1: of the time I've been in those meetings with you, Yes, 87 00:04:48,720 --> 00:04:50,599 Speaker 1: And you could draw all kinds of conclusions from that, 88 00:04:50,720 --> 00:04:54,279 Speaker 1: And it's really just that I hate long meetings and 89 00:04:54,320 --> 00:04:56,240 Speaker 1: wouldn't have anything to do with the content. But I 90 00:04:56,240 --> 00:05:00,960 Speaker 1: could absolutely see a Marcu Rubio thinking, I'm Secretary of 91 00:05:01,080 --> 00:05:04,400 Speaker 1: freaking State, I'm trying to negotiate an end to the 92 00:05:04,440 --> 00:05:07,280 Speaker 1: bloodiest war since the end of World War Two? 93 00:05:08,120 --> 00:05:09,520 Speaker 2: Who's this freaking guy. 94 00:05:09,360 --> 00:05:12,400 Speaker 3: Over in the corner and the base Or even if 95 00:05:12,440 --> 00:05:16,839 Speaker 3: it is an overtly hostile you're taking on an enormous 96 00:05:16,880 --> 00:05:21,479 Speaker 3: new job. You're managing upward as a cabinet secretary constantly 97 00:05:21,480 --> 00:05:23,560 Speaker 3: it's a difficult task to you know, stay on the 98 00:05:23,600 --> 00:05:25,280 Speaker 3: right side of the president, You do what needs to 99 00:05:25,320 --> 00:05:27,280 Speaker 3: be done, blah blah blah, and then you've got, you know, 100 00:05:27,360 --> 00:05:31,359 Speaker 3: a third poll of power, Elon Musk, who's laughing and 101 00:05:31,440 --> 00:05:34,320 Speaker 3: joking and dressed with his hat and all I could 102 00:05:34,360 --> 00:05:36,839 Speaker 3: see it being even if you didn't hate it, it 103 00:05:36,920 --> 00:05:40,840 Speaker 3: would be a swirling waters to kayak through, if you 104 00:05:40,880 --> 00:05:43,680 Speaker 3: know what I mean. And I knowing the support Musk 105 00:05:43,720 --> 00:05:45,360 Speaker 3: has from the President, yeah, I'm pro. 106 00:05:45,279 --> 00:05:47,640 Speaker 1: Elon pro doge, But I just I don't think the 107 00:05:47,640 --> 00:05:48,960 Speaker 1: rest of the cabinet was digging it. 108 00:05:49,160 --> 00:05:51,960 Speaker 2: And well, I don't know if you saw this clip. 109 00:05:52,000 --> 00:05:54,840 Speaker 1: But at one point Trump cut him off and said, Okay, 110 00:05:54,839 --> 00:05:56,599 Speaker 1: that's enough. Elon, the rest of the cabinet has to 111 00:05:56,600 --> 00:05:59,520 Speaker 1: speak at some point. And then there is some and 112 00:06:00,200 --> 00:06:02,560 Speaker 1: no smiles from the people in the cabinet when he 113 00:06:02,560 --> 00:06:05,880 Speaker 1: said that either and and he said if he goes 114 00:06:05,880 --> 00:06:07,600 Speaker 1: on too long, should we kick him out or what? 115 00:06:07,800 --> 00:06:11,240 Speaker 1: And people then kind of laughed. Yeah, but that was 116 00:06:11,279 --> 00:06:13,800 Speaker 1: a big laugh. Come on, that was he killed with 117 00:06:13,880 --> 00:06:16,560 Speaker 1: that line. That was his baffo mic drop line. 118 00:06:16,720 --> 00:06:17,480 Speaker 2: But he was. 119 00:06:17,560 --> 00:06:20,440 Speaker 1: I mean, so that was the President recognizing that maybe 120 00:06:20,920 --> 00:06:22,040 Speaker 1: you've gone on long enough. 121 00:06:22,320 --> 00:06:24,680 Speaker 2: It's gotta be tough. I mean, you talk about managing 122 00:06:24,839 --> 00:06:26,279 Speaker 2: egos and personalities. 123 00:06:26,600 --> 00:06:29,600 Speaker 1: Oh yeah, Elon stands up. 124 00:06:29,640 --> 00:06:31,000 Speaker 2: He expects to command a room. 125 00:06:31,200 --> 00:06:36,159 Speaker 3: Why wouldn't he, especially presbe well his resume and his personality. 126 00:06:36,279 --> 00:06:38,600 Speaker 3: I mean, if you were if you had Jeff Bezos 127 00:06:38,640 --> 00:06:40,600 Speaker 3: in a similar role, for instance, it would be And 128 00:06:40,640 --> 00:06:44,599 Speaker 3: again kudos to mister Bezos for his fabulous tweet the 129 00:06:44,640 --> 00:06:47,680 Speaker 3: other day explaining how the Washington Post editorial board is 130 00:06:47,720 --> 00:06:50,320 Speaker 3: now going to be all about free people in free markets, 131 00:06:50,320 --> 00:06:53,640 Speaker 3: which is stealing the Wall Street Journal editorial board anyway. Ah, 132 00:06:53,880 --> 00:06:54,760 Speaker 3: there's their slogan. 133 00:06:54,839 --> 00:06:58,200 Speaker 1: But it would be a very different experience have Jeff 134 00:06:58,200 --> 00:07:00,680 Speaker 1: Bezos in that role as opposed to Elon Musk, who 135 00:07:00,760 --> 00:07:05,160 Speaker 1: is a loose cannon and an incredibly utter, energetic, scattered, 136 00:07:05,200 --> 00:07:06,359 Speaker 1: autistic genius. 137 00:07:06,880 --> 00:07:11,160 Speaker 3: So yeah, I just I didn't. I didn't take that seriously. 138 00:07:11,280 --> 00:07:14,440 Speaker 3: It's just it's it is odd. I'm not taking it seriously. 139 00:07:14,480 --> 00:07:15,920 Speaker 3: I don't think it's a problem. I just thought it 140 00:07:15,960 --> 00:07:18,400 Speaker 3: was interesting. I thought those guys were not digging it 141 00:07:18,400 --> 00:07:22,880 Speaker 3: at all. I I don't. 142 00:07:22,680 --> 00:07:26,640 Speaker 1: Dig the We've got certain ways we do things around here, 143 00:07:26,680 --> 00:07:28,600 Speaker 1: and you're not doing it the usual way. I'm not 144 00:07:28,640 --> 00:07:31,000 Speaker 1: a fan of that ever in any in any setting. 145 00:07:31,880 --> 00:07:34,280 Speaker 1: So you know, whatever, get over it. 146 00:07:34,320 --> 00:07:36,240 Speaker 3: And and the more I look at it, and I've 147 00:07:36,320 --> 00:07:38,200 Speaker 3: spent a good bit of time getting ready for the 148 00:07:38,200 --> 00:07:44,000 Speaker 3: show looking at this specific thing, the knee jerk often 149 00:07:44,200 --> 00:07:47,880 Speaker 3: just silly and idiotic. We must oppose everything, everything they 150 00:07:47,880 --> 00:07:49,960 Speaker 3: do at every moment. We must be in opposition to. 151 00:07:50,440 --> 00:07:53,360 Speaker 1: If Trump picks up a pen we must screech that 152 00:07:53,480 --> 00:07:56,320 Speaker 1: pencils are being oppressed. If Trump looks out the window, 153 00:07:56,560 --> 00:08:01,600 Speaker 1: we need the curtain lobby to to weive us a contribution. 154 00:08:01,840 --> 00:08:04,320 Speaker 1: I mean, just every single little thing has got to 155 00:08:04,360 --> 00:08:06,200 Speaker 1: be opposed to the point of ridiculousness. 156 00:08:06,280 --> 00:08:07,920 Speaker 2: I don't understand why. 157 00:08:09,120 --> 00:08:11,720 Speaker 3: The left, the Democrats, don't take a little more of 158 00:08:12,000 --> 00:08:13,720 Speaker 3: James Carville's advice. 159 00:08:13,520 --> 00:08:16,160 Speaker 2: And just lay weakly. You've got something good to take 160 00:08:16,200 --> 00:08:16,880 Speaker 2: a shot at. 161 00:08:17,240 --> 00:08:19,560 Speaker 1: I mean, because you're you're absolutely You're just there's so 162 00:08:19,640 --> 00:08:27,880 Speaker 1: much noise. You're becoming increasingly easy to ignore. One of 163 00:08:27,880 --> 00:08:30,800 Speaker 1: my least favorite symptoms that I've ever ever get in 164 00:08:30,800 --> 00:08:34,079 Speaker 1: my life, I've got right now, clammy. I don't like clamming. Oh, 165 00:08:34,400 --> 00:08:36,839 Speaker 1: Clammy's not a good feeling. No, No, Clammy's one of 166 00:08:36,880 --> 00:08:40,120 Speaker 1: my least favorite feelings. Well, especially because it's related to 167 00:08:40,360 --> 00:08:43,160 Speaker 1: several other words that are at the top of polls 168 00:08:43,160 --> 00:08:48,800 Speaker 1: for people's least favorite words, including moist or damp. A man, 169 00:08:48,840 --> 00:08:51,040 Speaker 1: when you're clammy, I got parts of me that are damp, 170 00:08:51,080 --> 00:08:51,960 Speaker 1: parts of me that are moist. 171 00:08:52,440 --> 00:08:53,720 Speaker 2: No, stop it. 172 00:08:53,760 --> 00:08:58,760 Speaker 3: I see every everybody listening, including me, is recoiling right now. 173 00:08:58,960 --> 00:09:01,400 Speaker 2: Isn't that funny? Well you can guess which parts are which. 174 00:09:01,440 --> 00:09:05,240 Speaker 4: Yes, Katie, I was gonna tell Hanson to just turn 175 00:09:05,280 --> 00:09:07,400 Speaker 4: your microphone off and stop you immediately. 176 00:09:07,559 --> 00:09:09,160 Speaker 1: I am il, So you have to take me to 177 00:09:09,880 --> 00:09:12,720 Speaker 1: it's his disarming honesty, Katie, it's his trade. 178 00:09:13,040 --> 00:09:13,680 Speaker 2: We'll stop it. 179 00:09:15,160 --> 00:09:18,240 Speaker 1: I got a new trademark, tim me boy Blamy. So 180 00:09:18,360 --> 00:09:21,440 Speaker 1: we have an interesting thing to talk about. I hadn't 181 00:09:21,520 --> 00:09:24,920 Speaker 1: actually heard the audio. I had just heard about it 182 00:09:25,559 --> 00:09:28,480 Speaker 1: that Donald Trump Junior said we should have armed a 183 00:09:28,600 --> 00:09:31,440 Speaker 1: Russia and he said it on a podcast or something 184 00:09:31,520 --> 00:09:35,000 Speaker 1: or other. Turns out later in the day everybody realized, Okay, 185 00:09:35,000 --> 00:09:38,560 Speaker 1: that was Ai, that wasn't really him, and a bunch 186 00:09:38,559 --> 00:09:42,440 Speaker 1: of organizations pulled it down. But was this the first 187 00:09:43,000 --> 00:09:47,040 Speaker 1: pretty major we all got fool by AI. 188 00:09:47,280 --> 00:09:49,960 Speaker 2: That happened yesterday? I believe so. 189 00:09:50,080 --> 00:09:53,719 Speaker 1: Yeah, it was a shocking and troubling glimpse of the 190 00:09:53,760 --> 00:09:54,440 Speaker 1: world to come. 191 00:09:54,720 --> 00:09:55,920 Speaker 2: Yeah, we'll have to play that for you. 192 00:09:55,960 --> 00:09:58,360 Speaker 1: A little bit later that said that's going to be 193 00:09:58,559 --> 00:10:01,360 Speaker 1: constant in the near future, I think. Anyway, let's start 194 00:10:01,360 --> 00:10:03,800 Speaker 1: the show officially as Moist and Clammy as I am, 195 00:10:03,840 --> 00:10:05,679 Speaker 1: I'm Jack Armstrong. He's Joe Getty on this at his 196 00:10:05,800 --> 00:10:09,080 Speaker 1: Thursday February twenty seventh, yere twenty twenty five, where I'm 197 00:10:09,120 --> 00:10:09,920 Speaker 1: strong and getting. 198 00:10:09,760 --> 00:10:12,000 Speaker 3: We approve of this program. I am, the other hand, 199 00:10:12,040 --> 00:10:14,839 Speaker 3: well powdered and fragrant. Let's begin the show officially now 200 00:10:14,880 --> 00:10:16,400 Speaker 3: according to FCC rules. 201 00:10:16,440 --> 00:10:22,640 Speaker 2: Raggs at Mark. You see, mister beausham, this is the 202 00:10:22,720 --> 00:10:32,680 Speaker 2: kind of tras I need to get on. You find 203 00:10:32,720 --> 00:10:35,760 Speaker 2: this kind of all smooth and all your posperous communities, 204 00:10:36,840 --> 00:10:48,000 Speaker 2: which it tall over in Cheyenne. Oh jeez, family, Holy. 205 00:10:47,840 --> 00:10:55,080 Speaker 1: Crap, you won't find him in a town of big whiskey. 206 00:10:55,160 --> 00:10:57,319 Speaker 2: One of our more violent opening clips. 207 00:10:58,080 --> 00:11:01,240 Speaker 1: Mmmm, Flora Clinton. He was ailing with the flu or 208 00:11:01,280 --> 00:11:02,280 Speaker 1: something too at the time. 209 00:11:02,440 --> 00:11:02,640 Speaker 2: Yeah. 210 00:11:02,640 --> 00:11:04,760 Speaker 1: I guess if you don't know the movie Unforgiven, you 211 00:11:04,960 --> 00:11:06,720 Speaker 1: don't know how gruesome that was. 212 00:11:06,800 --> 00:11:08,600 Speaker 2: And there's you're probably better for it. 213 00:11:08,640 --> 00:11:11,720 Speaker 1: But that was the great Gene Hackman who passed because 214 00:11:11,760 --> 00:11:15,600 Speaker 1: he didn't get his radon detector batteries put in. 215 00:11:15,840 --> 00:11:18,360 Speaker 2: When he was supposed to do, or something something like that. 216 00:11:18,400 --> 00:11:20,200 Speaker 3: I wonder what kind of odds I could get from 217 00:11:20,200 --> 00:11:23,840 Speaker 3: the London bookies that he and his wife. 218 00:11:23,760 --> 00:11:27,120 Speaker 1: And his dog all passed from natural causes at the 219 00:11:27,120 --> 00:11:32,200 Speaker 1: same time. Exactly what are the odds? Probably significant, just 220 00:11:32,240 --> 00:11:32,800 Speaker 1: an accident. 221 00:11:33,400 --> 00:11:35,880 Speaker 2: I just heard something this morning. I heard something this 222 00:11:35,920 --> 00:11:39,280 Speaker 2: morning I'd never heard before. He thought Hoosiers was a disaster. 223 00:11:39,679 --> 00:11:41,440 Speaker 2: He thought it was going to be a career ender. 224 00:11:41,640 --> 00:11:45,120 Speaker 1: Yeah, in the midst of it, he told Dennis Hopper, 225 00:11:45,120 --> 00:11:46,480 Speaker 1: who was also in the movie, he said, I hope 226 00:11:46,480 --> 00:11:48,360 Speaker 1: you saved your money because we're done after this. 227 00:11:50,200 --> 00:11:50,760 Speaker 2: That's something. 228 00:11:51,400 --> 00:11:54,520 Speaker 3: Yeah, that's crazy. I talk about that maybe later. I'm 229 00:11:54,520 --> 00:11:57,640 Speaker 3: always amazed by those stories. How does well? 230 00:11:57,679 --> 00:11:59,640 Speaker 2: We got mail bag later, we got Katie's headlines coming 231 00:11:59,679 --> 00:12:00,000 Speaker 2: up next. 232 00:12:00,080 --> 00:12:02,040 Speaker 1: More news of the day. Zelensky, it looks like it's 233 00:12:02,040 --> 00:12:04,800 Speaker 1: coming to Washington, d C. That's gonna be quite the 234 00:12:04,800 --> 00:12:08,240 Speaker 1: deal to sign the minerals right contract whatever. 235 00:12:07,920 --> 00:12:10,360 Speaker 2: That's gonna be maybe lots of stuff to talk about. 236 00:12:10,400 --> 00:12:16,080 Speaker 2: I hope you can stay here. How y'all doing. 237 00:12:19,040 --> 00:12:22,800 Speaker 1: So, Zelenski said, at some point yesterday he might not come. 238 00:12:24,120 --> 00:12:26,079 Speaker 2: So I don't know what that's all about. Part of 239 00:12:26,120 --> 00:12:27,559 Speaker 2: the negotiating, I guess. 240 00:12:27,960 --> 00:12:31,559 Speaker 3: Yeah, and m Also part of the negotiating from Trump's 241 00:12:31,640 --> 00:12:36,440 Speaker 3: A side is he often offers up the presumptive clothes, saying, yeah, 242 00:12:36,480 --> 00:12:39,440 Speaker 3: we've got a deal, We've absolutely got a deal. We're 243 00:12:39,520 --> 00:12:41,560 Speaker 3: ninety percent of the way there, so come on in, 244 00:12:41,640 --> 00:12:44,520 Speaker 3: let's sign it. Because he knows if he puts the 245 00:12:44,520 --> 00:12:45,880 Speaker 3: other person in the position. 246 00:12:45,520 --> 00:12:46,960 Speaker 2: Of backing out, he has leverage. 247 00:12:47,640 --> 00:12:49,760 Speaker 1: Oh, yeah, you travel all the way over here and 248 00:12:49,800 --> 00:12:51,880 Speaker 1: the press is all gathered around everything like that, and 249 00:12:51,920 --> 00:12:53,720 Speaker 1: then you're gonna read over the deal and say, well, 250 00:12:53,720 --> 00:12:58,000 Speaker 1: this is not what I want. I mean, the Palestinians 251 00:12:58,000 --> 00:13:01,080 Speaker 1: do it, but that late in the game. 252 00:13:01,120 --> 00:13:04,960 Speaker 2: But it's not easy. Yeah. 253 00:13:05,040 --> 00:13:08,400 Speaker 3: Yeah, I just came across some really interesting pullingon to 254 00:13:08,480 --> 00:13:10,840 Speaker 3: talk about, but we need to leap into Katie's headlines. 255 00:13:10,840 --> 00:13:13,559 Speaker 3: It's a leaf story with Katie Green and Katie starting with. 256 00:13:13,520 --> 00:13:18,080 Speaker 4: The pre Beacon State Department completes foreign funding review, identifying 257 00:13:18,240 --> 00:13:22,200 Speaker 4: fifteen thousand grants worth sixty billion. 258 00:13:21,840 --> 00:13:24,800 Speaker 1: Dollars for elimination I hope. So there's a lot of 259 00:13:24,920 --> 00:13:25,960 Speaker 1: noise flop float around. 260 00:13:26,000 --> 00:13:31,320 Speaker 4: Oh hold on, oh boy, clammy moist and sneezing very good, 261 00:13:31,320 --> 00:13:32,360 Speaker 4: and it's the ebola. 262 00:13:32,800 --> 00:13:36,800 Speaker 1: Yeah, I got a yeah, so what did you Oh, 263 00:13:36,880 --> 00:13:39,360 Speaker 1: there's a lot of noise floating around about various things 264 00:13:39,400 --> 00:13:42,760 Speaker 1: that DOGE has announced that turn out not to be 265 00:13:42,800 --> 00:13:45,360 Speaker 1: as much as they said or not exactly what they said, 266 00:13:45,400 --> 00:13:47,920 Speaker 1: And then I don't know who to believe, and it's 267 00:13:48,200 --> 00:13:50,640 Speaker 1: it's very messy the accounting on how much money is 268 00:13:50,640 --> 00:13:54,080 Speaker 1: being saved currently directionally, I love it. What's actually happening. 269 00:13:54,120 --> 00:13:54,720 Speaker 1: I'm not short. 270 00:13:55,400 --> 00:14:00,720 Speaker 4: Right from Breitbart, NSA employees tied to explicit chat rooms 271 00:14:00,760 --> 00:14:03,840 Speaker 4: to be terminated, security clearance revoked. 272 00:14:04,679 --> 00:14:09,840 Speaker 3: Yeah, gender bending madness, weirdo sickos, just wasting government time 273 00:14:09,880 --> 00:14:12,079 Speaker 3: and resources on their perversity. 274 00:14:13,559 --> 00:14:17,880 Speaker 4: From CBS, Hama's hands over bodies of four hostages as 275 00:14:18,040 --> 00:14:21,280 Speaker 4: Israel releases hundreds of Palestinian prisoners. 276 00:14:21,600 --> 00:14:21,880 Speaker 2: Wow. 277 00:14:22,920 --> 00:14:26,400 Speaker 3: Yeah, there were some news outlets that merely said that 278 00:14:27,440 --> 00:14:30,960 Speaker 3: Israel received the hostages back, not mentioning they'd been murdered. 279 00:14:31,440 --> 00:14:33,480 Speaker 2: Right from ABC. 280 00:14:34,560 --> 00:14:39,360 Speaker 4: US threatens permanent visa bands on trans athletes based on 281 00:14:39,480 --> 00:14:44,440 Speaker 4: sex markers. So if you're traveling here, if you're trans 282 00:14:44,440 --> 00:14:46,960 Speaker 4: and you're traveling to the United States to play sports, 283 00:14:47,000 --> 00:14:48,720 Speaker 4: you can't. Now you're not getting that visa. 284 00:14:49,560 --> 00:14:52,840 Speaker 2: Okay, just got to have on your passport. See or 285 00:14:52,920 --> 00:14:54,760 Speaker 2: no c bow. 286 00:14:55,040 --> 00:15:00,760 Speaker 1: Wow, what if they're playing in a trans league. 287 00:15:01,120 --> 00:15:04,160 Speaker 4: From CNN, Taiwan says China. 288 00:15:03,960 --> 00:15:05,640 Speaker 2: Set up quote live. 289 00:15:05,680 --> 00:15:09,160 Speaker 4: Fire training zone off its coast without warning. 290 00:15:09,600 --> 00:15:15,000 Speaker 3: No man, China is on the march, no question about it. 291 00:15:15,000 --> 00:15:17,560 Speaker 3: It gets buried because the domestic news is so hot 292 00:15:17,640 --> 00:15:22,480 Speaker 3: these days. But China is intent on standing astride the globe. 293 00:15:23,120 --> 00:15:27,480 Speaker 4: From the Associated Press, Apple will fix iPhone glitch that 294 00:15:27,600 --> 00:15:31,680 Speaker 4: suggests replacing the word racist with the word Trump. 295 00:15:31,880 --> 00:15:35,280 Speaker 2: Yeah, did you hear this story yesterday? What the heck? 296 00:15:35,760 --> 00:15:39,720 Speaker 2: How's that accidentally happen? That's a funny coincidence. There is 297 00:15:39,880 --> 00:15:43,440 Speaker 2: a glitch. Elon actually had testing or something algorithms. 298 00:15:43,560 --> 00:15:46,440 Speaker 1: Elon had some interesting commentary on that, and Ai and 299 00:15:46,520 --> 00:15:48,080 Speaker 1: Wolkeness still have to get to later. 300 00:15:48,240 --> 00:15:50,080 Speaker 2: I found it quite fascinating. 301 00:15:50,520 --> 00:15:54,560 Speaker 4: From the Hill, South Carolina Republican wants to put Trump 302 00:15:54,720 --> 00:15:57,360 Speaker 4: on new two hundred and fifty dollars bill. 303 00:15:57,680 --> 00:15:58,240 Speaker 2: I saw that. 304 00:15:59,520 --> 00:16:02,200 Speaker 1: That's what I was talking about yesterday, the various resolutions 305 00:16:02,200 --> 00:16:04,960 Speaker 1: to put him on Mount Rushmore or name it works 306 00:16:05,000 --> 00:16:06,880 Speaker 1: after exactly right. 307 00:16:07,600 --> 00:16:12,840 Speaker 2: It just don't that visibly kissing ass? Isn't that humiliating? 308 00:16:12,920 --> 00:16:16,360 Speaker 2: Apparently not. It seems like a little bunch. From the 309 00:16:16,360 --> 00:16:16,880 Speaker 2: New York. 310 00:16:16,760 --> 00:16:20,640 Speaker 4: Post, Michael Moore says deported migrants could have cured cancer 311 00:16:20,760 --> 00:16:23,480 Speaker 4: and stop the asteroid that's gonna hit us in twenty 312 00:16:23,560 --> 00:16:24,040 Speaker 4: thirty two. 313 00:16:24,320 --> 00:16:25,880 Speaker 2: Right whatever. 314 00:16:26,680 --> 00:16:32,000 Speaker 4: And finally the Babylon Bee, Gavin Newsom launches true crime 315 00:16:32,120 --> 00:16:34,720 Speaker 4: podcast about how we killed California. 316 00:16:35,400 --> 00:16:38,560 Speaker 1: Yeah, well, we got to talk about Gavin's new podcast, 317 00:16:38,600 --> 00:16:41,000 Speaker 1: and these guys so clearly running for president. I mean, 318 00:16:41,000 --> 00:16:43,360 Speaker 1: it's not like it's that's news breaking for me to 319 00:16:43,360 --> 00:16:46,160 Speaker 1: say that, but right right, he's auditioning. 320 00:16:46,200 --> 00:16:49,840 Speaker 3: He's gonna spar with Maga Personalities evidently on this podcast 321 00:16:49,880 --> 00:16:52,760 Speaker 3: and show how good he is. It Just get kicking 322 00:16:52,840 --> 00:16:55,920 Speaker 3: those damn right wingers down and leading the way to 323 00:16:55,960 --> 00:16:57,000 Speaker 3: a progressive future. 324 00:16:57,120 --> 00:16:59,840 Speaker 2: All right, we got more news on the leg yet. 325 00:17:01,200 --> 00:17:04,480 Speaker 5: The company is saying, essentially that the AI system behind 326 00:17:04,520 --> 00:17:08,960 Speaker 5: its voice to text feature can occasionally type an incorrect 327 00:17:08,960 --> 00:17:12,159 Speaker 5: word with phonetic overlap, essentially a word that sounds similar 328 00:17:12,200 --> 00:17:14,920 Speaker 5: to what a user was trying to say before quickly correcting, 329 00:17:14,920 --> 00:17:17,480 Speaker 5: which is what we see happened here. A user would 330 00:17:17,480 --> 00:17:20,520 Speaker 5: say racist, the thing would type trump and then quickly 331 00:17:20,560 --> 00:17:22,959 Speaker 5: correct to racist. But you know, I think users can 332 00:17:22,960 --> 00:17:25,679 Speaker 5: decide how much phonetic overlap they think there is between 333 00:17:25,720 --> 00:17:28,159 Speaker 5: the words racist and trump. Apple says this was a 334 00:17:28,160 --> 00:17:29,560 Speaker 5: glitch and it's working on a fix. 335 00:17:29,960 --> 00:17:34,159 Speaker 2: What was arity that that had? Where did that come from? Hanson? 336 00:17:34,200 --> 00:17:40,520 Speaker 2: Where's the CNN it's the lead? Yeah? No, yes, no again, 337 00:17:40,600 --> 00:17:41,880 Speaker 2: I say yes, Well. 338 00:17:41,720 --> 00:17:43,840 Speaker 1: Let me read you so you fully understand what's going 339 00:17:43,840 --> 00:17:45,359 Speaker 1: on here. This is the New York Times version of 340 00:17:45,359 --> 00:17:51,200 Speaker 1: the story. Apple's dictation system transcribes the word racist as 341 00:17:51,320 --> 00:17:58,080 Speaker 1: trump from so the New York Times they they they 342 00:17:58,160 --> 00:18:01,320 Speaker 1: replicated it several times. Them sol elves and investigating this 343 00:18:02,440 --> 00:18:05,040 Speaker 1: and say it provoked controversy after appearing on a viral 344 00:18:05,080 --> 00:18:08,879 Speaker 1: TikTok post raising questions about apples artificial intelligence capabilities. 345 00:18:09,200 --> 00:18:11,840 Speaker 2: I don't know about its capabilities. 346 00:18:11,080 --> 00:18:16,919 Speaker 1: Rather than there somebody messing with the you know, the 347 00:18:16,960 --> 00:18:18,080 Speaker 1: algorithm or something. 348 00:18:18,760 --> 00:18:21,119 Speaker 2: I don't understand what you're saying. I mean, they're so similar. 349 00:18:21,200 --> 00:18:21,720 Speaker 2: You have like. 350 00:18:22,400 --> 00:18:31,159 Speaker 1: Green and great great great Trump racist, See it's a 351 00:18:31,280 --> 00:18:36,439 Speaker 1: rhyme and Apples. An Apple spokesman blamed the issue on 352 00:18:36,520 --> 00:18:39,960 Speaker 1: phonetic overlap as you just heard between the two words, 353 00:18:39,960 --> 00:18:42,560 Speaker 1: and said the company was working on a fix. I'm 354 00:18:42,600 --> 00:18:46,760 Speaker 1: a generally an Apple fan, but that's obviously horse dung. 355 00:18:48,280 --> 00:18:50,400 Speaker 2: You've got to come out, as Tim cooks, you got. 356 00:18:50,200 --> 00:18:53,359 Speaker 1: To come out, I think immediately yesterday and say we 357 00:18:53,440 --> 00:18:57,040 Speaker 1: got somebody in the company who obviously doesn't like Donald Trump. 358 00:18:57,520 --> 00:18:59,520 Speaker 2: This isn't cool. We will root them out. 359 00:18:59,560 --> 00:19:01,560 Speaker 1: They will be on This is not the way our 360 00:19:01,600 --> 00:19:04,440 Speaker 1: AI is going to work or screw you Apple. 361 00:19:04,840 --> 00:19:08,600 Speaker 3: Right, if there is some sort of award for somebody 362 00:19:08,640 --> 00:19:11,720 Speaker 3: standing up and saying with a straight face, the sunrises 363 00:19:11,720 --> 00:19:14,919 Speaker 3: in the west and I am a talking elephant, I 364 00:19:14,920 --> 00:19:18,240 Speaker 3: mean just just saying that, which is completely ridiculous, that 365 00:19:18,320 --> 00:19:21,680 Speaker 3: Apple spokeshole needs to win that award. 366 00:19:21,960 --> 00:19:27,399 Speaker 1: And then who is that on CNN Claire Duffy. Claire 367 00:19:27,480 --> 00:19:30,320 Speaker 1: Duffy ought to be the co winner. We'll let viewers 368 00:19:31,000 --> 00:19:33,359 Speaker 1: a praise whether there was phonetic overlap. 369 00:19:33,960 --> 00:19:38,760 Speaker 2: Well, okay, I have appraised. So here's some word. 370 00:19:39,160 --> 00:19:42,360 Speaker 1: Here's some AI expert with a different intelligent startup who 371 00:19:42,400 --> 00:19:45,320 Speaker 1: said to The New York Times it was unlikely the 372 00:19:45,400 --> 00:19:48,600 Speaker 1: data that Apple has collected for its AI offerings was 373 00:19:48,640 --> 00:19:51,120 Speaker 1: causing the problem, and the word correcting itself was likely 374 00:19:51,160 --> 00:19:55,000 Speaker 1: in indication that the issue was not just technical. Why 375 00:19:55,040 --> 00:19:57,119 Speaker 1: are you beating around the bush and not just saying no, no, 376 00:19:57,160 --> 00:20:00,520 Speaker 1: somebody somebody did this on purpose, He later said, rollery 377 00:20:00,640 --> 00:20:04,200 Speaker 1: at Apple, He later said, oh, and asked more questions 378 00:20:04,240 --> 00:20:06,040 Speaker 1: by The New York Times, this smells like a prank 379 00:20:06,119 --> 00:20:12,600 Speaker 1: to mere obviously, obviously here's and you know the particulars 380 00:20:12,600 --> 00:20:12,880 Speaker 1: of it. 381 00:20:12,880 --> 00:20:14,320 Speaker 2: It's outrageous. It's stupid. 382 00:20:14,840 --> 00:20:17,920 Speaker 3: I'm much more interested in the story behind the story. Sure, 383 00:20:17,960 --> 00:20:21,520 Speaker 3: why in the twenty first century would a spokesperson for 384 00:20:21,600 --> 00:20:26,360 Speaker 3: Apple think it's better to say something as plainly ridiculous 385 00:20:26,440 --> 00:20:29,280 Speaker 3: as they did, as opposed to what is plainly true? 386 00:20:29,840 --> 00:20:32,639 Speaker 1: And why would CNN think it's a good idea to 387 00:20:32,760 --> 00:20:40,880 Speaker 1: not guffaw at Apple's explanation because they're pandering dumbasses who 388 00:20:40,920 --> 00:20:44,680 Speaker 1: deserves their awful ratings. So then that gets to Elon's 389 00:20:44,720 --> 00:20:47,360 Speaker 1: response to this when he saw this float around yesterday, 390 00:20:47,920 --> 00:20:50,360 Speaker 1: I'm sure this will be measured and gentlemanly. No, it's 391 00:20:50,400 --> 00:20:53,680 Speaker 1: actually really interesting. You know. He's a big proponent of AI, 392 00:20:53,760 --> 00:20:55,960 Speaker 1: and also a big proponent of the idea that AI 393 00:20:56,080 --> 00:20:57,480 Speaker 1: is something we got to keep our eye on and 394 00:20:57,480 --> 00:21:00,439 Speaker 1: could be very, very dangerous, which is his point. He 395 00:21:00,480 --> 00:21:02,560 Speaker 1: tweeted out yesterday, this is what I mean by the 396 00:21:02,600 --> 00:21:05,280 Speaker 1: woke mind virus. The more I learned, the more insidious 397 00:21:05,280 --> 00:21:08,119 Speaker 1: and deadly it appears. Maybe the and this is a 398 00:21:08,119 --> 00:21:11,800 Speaker 1: heck of a sentence, Maybe the biggest existential danger to 399 00:21:11,960 --> 00:21:14,919 Speaker 1: humanity any sentence it starts that way out to get 400 00:21:14,960 --> 00:21:18,600 Speaker 1: your attention. Maybe the biggest existential danger to humanity is 401 00:21:18,640 --> 00:21:23,840 Speaker 1: having it programmed the the woke mind virus programmed into AI, 402 00:21:24,680 --> 00:21:27,119 Speaker 1: as is the case for every AI I know of, 403 00:21:27,200 --> 00:21:31,280 Speaker 1: except for Groc that's Elon's own. Even for Groc, it's 404 00:21:31,320 --> 00:21:33,800 Speaker 1: tough to remove because there's so much woke content on 405 00:21:33,840 --> 00:21:36,600 Speaker 1: the internet. You know, these learning language models, they pick 406 00:21:36,680 --> 00:21:39,119 Speaker 1: up their stuff from the Internet or from the world, 407 00:21:39,320 --> 00:21:41,760 Speaker 1: and there's so much woke crap in the world, he said. 408 00:21:41,840 --> 00:21:44,880 Speaker 1: Elon tweeted for example, when other AIS were asked whether 409 00:21:44,960 --> 00:21:50,160 Speaker 1: global thermonuclear war or misgendering was worse, they picked the latter. 410 00:21:51,280 --> 00:21:55,919 Speaker 1: The existential the existential problem with that is that a 411 00:21:55,960 --> 00:21:59,320 Speaker 1: super powerful AI could decide that the only one certain 412 00:21:59,359 --> 00:22:02,520 Speaker 1: way to stop misgendering is to kill all humans. 413 00:22:03,160 --> 00:22:04,720 Speaker 2: That's what Elon said yesterday. 414 00:22:05,240 --> 00:22:07,600 Speaker 1: Wow, I'm used to the whole They decide we're causing 415 00:22:07,600 --> 00:22:09,919 Speaker 1: too much environmental damage and they kill all humans. 416 00:22:10,000 --> 00:22:12,160 Speaker 2: Argument, but they're going to do it for misgendering. 417 00:22:12,240 --> 00:22:17,600 Speaker 1: Well, if AI thinks misgendering is worse than thermonuclear war, sure, 418 00:22:18,080 --> 00:22:20,040 Speaker 1: then that the stakes are as high as they can get, 419 00:22:20,440 --> 00:22:22,920 Speaker 1: and AI could determine, well, we've got to stop misgendering. 420 00:22:22,960 --> 00:22:29,960 Speaker 2: How can we do it? That's so crazy? 421 00:22:30,560 --> 00:22:32,600 Speaker 3: I don't think we can handle this, and I don't 422 00:22:32,640 --> 00:22:34,520 Speaker 3: mean you and me or even the folks listening. I 423 00:22:34,520 --> 00:22:37,639 Speaker 3: don't think humankind is going to do well handling this, 424 00:22:38,560 --> 00:22:41,199 Speaker 3: you know, and I could be wrong, but I'm not. 425 00:22:41,480 --> 00:22:43,840 Speaker 1: Well. Do you think this is an overreaction to discuss 426 00:22:43,880 --> 00:22:45,840 Speaker 1: this sort of stuff, that this is like fantasy land 427 00:22:45,880 --> 00:22:48,120 Speaker 1: stuff where this is a real problem. 428 00:22:50,200 --> 00:22:50,680 Speaker 2: The whole. 429 00:22:50,920 --> 00:22:54,479 Speaker 1: Therefore, I will snuff humanity thing is a bit of 430 00:22:54,520 --> 00:22:59,679 Speaker 1: a stretch, I guess, but there are many, many less 431 00:22:59,840 --> 00:23:05,359 Speaker 1: horrific sure harms that will be done following exactly the 432 00:23:05,400 --> 00:23:06,200 Speaker 1: same pattern. 433 00:23:07,000 --> 00:23:08,080 Speaker 2: Yeah, it could be. 434 00:23:10,440 --> 00:23:14,920 Speaker 1: That person misgendered someone, and misgendering is worse than thermonuclear war. 435 00:23:15,720 --> 00:23:18,960 Speaker 1: So we're going to disable all their computers, their phone 436 00:23:18,960 --> 00:23:20,879 Speaker 1: and their home computer and everything. 437 00:23:20,920 --> 00:23:23,919 Speaker 3: Recommend them for dismissal from their job, eviction from their 438 00:23:24,080 --> 00:23:29,160 Speaker 3: their apartment, to ejection from school whatever. Yeah, and it's 439 00:23:30,200 --> 00:23:32,080 Speaker 3: one of the most insidious things to me. This is 440 00:23:32,119 --> 00:23:35,280 Speaker 3: already just going forward one hundred miles per hour. Is 441 00:23:35,880 --> 00:23:39,240 Speaker 3: it makes it that much easier to indoctrinate our young 442 00:23:39,320 --> 00:23:44,320 Speaker 3: people if while looking for an article on photosynthesis, they 443 00:23:44,640 --> 00:23:50,040 Speaker 3: always come across neo Marxist climate change information or misgendering, 444 00:23:50,119 --> 00:23:52,679 Speaker 3: crap or whatever I mean, because that's the goal of 445 00:23:52,680 --> 00:23:55,320 Speaker 3: the neo Marxist They've they've stated it out loud. You 446 00:23:55,359 --> 00:23:58,720 Speaker 3: see it in universities, you will incorporate the principles of 447 00:23:58,800 --> 00:24:05,840 Speaker 3: DEI in every class, including quantum mechanics and physics and biochemistry. 448 00:24:06,000 --> 00:24:07,959 Speaker 2: So this is a dream way to be able to 449 00:24:07,960 --> 00:24:11,280 Speaker 2: do that. Well, I've got a perfect example of that. 450 00:24:11,400 --> 00:24:13,560 Speaker 1: Let me bring up my notes here, I'll find them 451 00:24:13,600 --> 00:24:17,320 Speaker 1: from yesterday. 452 00:24:17,480 --> 00:24:23,080 Speaker 2: It was a one of your schools. Ah, I'll find 453 00:24:23,119 --> 00:24:24,840 Speaker 2: it anyway. 454 00:24:24,880 --> 00:24:28,200 Speaker 1: It was an example of what you were saying that 455 00:24:28,680 --> 00:24:31,720 Speaker 1: college universities have to work in this sort of crap 456 00:24:31,760 --> 00:24:33,880 Speaker 1: into everything. It was a I think it was a 457 00:24:34,040 --> 00:24:39,639 Speaker 1: math class. No, it was an astronomy class. That item 458 00:24:39,760 --> 00:24:45,080 Speaker 1: one for the students was recognizing the dangers of climate 459 00:24:45,160 --> 00:24:48,639 Speaker 1: change and everything that goes with it. And and somebody 460 00:24:48,680 --> 00:24:51,000 Speaker 1: complained in the university actually made them take that out 461 00:24:51,040 --> 00:24:53,480 Speaker 1: of astronomy. What's what the hell is? You know, looking 462 00:24:53,480 --> 00:24:55,000 Speaker 1: at the moon and the stars got to do with 463 00:24:55,040 --> 00:24:58,000 Speaker 1: climate change? But that had to be number one item 464 00:24:58,040 --> 00:24:59,359 Speaker 1: agenda to work into the class. 465 00:24:59,359 --> 00:25:03,480 Speaker 2: Somehow, that makes me so insane, but it motivates me 466 00:25:03,520 --> 00:25:05,959 Speaker 2: to do what we do that is so ugly and 467 00:25:06,119 --> 00:25:12,359 Speaker 2: stupid and obviously bent on controlling society. It needs to 468 00:25:12,400 --> 00:25:15,520 Speaker 2: be in everything. They must hear it everywhere. Every topic 469 00:25:15,800 --> 00:25:17,920 Speaker 2: must be about equity. Wh Yeah. 470 00:25:17,960 --> 00:25:20,879 Speaker 1: For instance, the London School of Economics hosting an event 471 00:25:20,920 --> 00:25:24,760 Speaker 1: today called Understanding Hamas and Why that Matters. In its description, 472 00:25:24,840 --> 00:25:28,600 Speaker 1: it says Hamas has been subjected to intense vilification, branding 473 00:25:28,600 --> 00:25:31,080 Speaker 1: it is a terrorist or worst worse, and this is 474 00:25:31,080 --> 00:25:34,320 Speaker 1: why the London School of Economics, what are the most 475 00:25:34,320 --> 00:25:39,640 Speaker 1: respected learning institutions around economics in the world, is gonna 476 00:25:39,920 --> 00:25:42,160 Speaker 1: spend the day convincing Hamas isn't bad. 477 00:25:42,960 --> 00:25:49,280 Speaker 2: Yeah. Yeah. The fact that AI could that any AI. 478 00:25:49,200 --> 00:25:54,200 Speaker 1: Even like some weird offshoot minor AI let alone, almost 479 00:25:54,280 --> 00:25:58,320 Speaker 1: all of them say misgenering is worse than thermonuclear war. 480 00:25:58,400 --> 00:26:00,720 Speaker 1: You gotta unplug it or do whatever you to stop AI. 481 00:26:00,760 --> 00:26:03,080 Speaker 1: I don't I stop it, but I don't know. Put 482 00:26:03,600 --> 00:26:05,479 Speaker 1: lay down a tax strip in the road or something. 483 00:26:07,200 --> 00:26:10,240 Speaker 1: Whatever you do to slow down AI needs to happen immediately. 484 00:26:11,280 --> 00:26:12,600 Speaker 2: It is a computer system. 485 00:26:12,640 --> 00:26:16,000 Speaker 3: Obviously it's not a person, but well it's it's more 486 00:26:16,040 --> 00:26:19,160 Speaker 3: than it's just a technology that even the guys behind 487 00:26:19,200 --> 00:26:22,800 Speaker 3: it don't understand correct. One is reminded of Maya Angelou's 488 00:26:22,800 --> 00:26:25,399 Speaker 3: famous statement that when someone tries to tell you what 489 00:26:25,480 --> 00:26:29,040 Speaker 3: kind of person they are, believe them. When AI tries 490 00:26:29,080 --> 00:26:31,399 Speaker 3: to tell you how dangerous it is, believe it. What 491 00:26:31,440 --> 00:26:32,440 Speaker 3: do we do about it? 492 00:26:32,840 --> 00:26:33,360 Speaker 2: I don't know? 493 00:26:35,920 --> 00:26:42,080 Speaker 1: And your example, so the really obvious ones, of course 494 00:26:42,080 --> 00:26:46,520 Speaker 1: we'll catch. You know, the idea that misgendering is worse 495 00:26:46,560 --> 00:26:49,920 Speaker 1: than a nuclear holocaust is ridiculous. Uh, if you type 496 00:26:49,920 --> 00:26:52,359 Speaker 1: the word trump and it changes it into racist is 497 00:26:52,480 --> 00:26:55,560 Speaker 1: easy to catch and ridiculous. But what about all the 498 00:26:55,600 --> 00:26:59,440 Speaker 1: way more subtle versions of that that will just be, 499 00:26:59,800 --> 00:27:03,800 Speaker 1: you know, running through all of our lives, in schools 500 00:27:03,840 --> 00:27:07,879 Speaker 1: and at home and in business, anything you do. You're 501 00:27:07,880 --> 00:27:10,760 Speaker 1: an eighteen year old college student who can spell, which 502 00:27:10,800 --> 00:27:15,560 Speaker 1: is a rarity. But you type in capitalism versus socialism 503 00:27:15,600 --> 00:27:17,040 Speaker 1: advantages and disadvantages. 504 00:27:17,080 --> 00:27:17,800 Speaker 2: Are you kidding me? 505 00:27:17,840 --> 00:27:20,760 Speaker 1: That would be so easy to shade I mean way 506 00:27:21,119 --> 00:27:24,520 Speaker 1: over into the capitalism is evil side of things? I mean, 507 00:27:24,680 --> 00:27:27,680 Speaker 1: or the founding of our country and how it would 508 00:27:27,720 --> 00:27:29,800 Speaker 1: be you know, push this direction or that it'd get 509 00:27:29,800 --> 00:27:32,800 Speaker 1: way closer to sixteen nineteen project than you know, what 510 00:27:32,840 --> 00:27:34,200 Speaker 1: we grew up learning that sort of thing. 511 00:27:34,200 --> 00:27:35,240 Speaker 2: Of course it will sure. 512 00:27:35,440 --> 00:27:40,520 Speaker 1: Yeah, yeah, highly troubling, i'd say, yeah. 513 00:27:40,960 --> 00:27:42,600 Speaker 2: Oh, and again your. 514 00:27:44,680 --> 00:27:47,879 Speaker 1: Point maybe the most troubling that Apple thought that was 515 00:27:47,920 --> 00:27:48,760 Speaker 1: the way to handle it. 516 00:27:51,040 --> 00:27:53,400 Speaker 3: Yeah, this one's a lot easier for me to deal 517 00:27:53,440 --> 00:27:57,400 Speaker 3: with because I understand pr and in corporate spokespeople and 518 00:27:57,840 --> 00:28:03,359 Speaker 3: shaping public opinion a lot than I understand AI. I 519 00:28:03,520 --> 00:28:06,239 Speaker 3: just and you know, there are plenty of folks at 520 00:28:06,240 --> 00:28:10,080 Speaker 3: Apple listening right now. Thank you for listening, and feel 521 00:28:10,080 --> 00:28:13,800 Speaker 3: free to be anonymous. Seriously, now, why in the world 522 00:28:13,840 --> 00:28:17,920 Speaker 3: would you so be clown yourself when the idea that 523 00:28:18,000 --> 00:28:21,400 Speaker 3: there was a troll or two at a Silicon Valley 524 00:28:21,440 --> 00:28:25,120 Speaker 3: operation and they thought it would be funny. Is that's 525 00:28:25,160 --> 00:28:27,840 Speaker 3: the modern world. We'd all be fine with it. I'm 526 00:28:27,840 --> 00:28:30,480 Speaker 3: not gonna take a baalpen hammer to my iPhone over this. 527 00:28:30,760 --> 00:28:33,840 Speaker 3: It's actually, you know, it's frustrating because that whole Trump 528 00:28:33,960 --> 00:28:36,280 Speaker 3: racist thing is such a worn out trope. 529 00:28:36,760 --> 00:28:41,080 Speaker 2: But no, it's you know, it's almost funny. It's fine. 530 00:28:41,160 --> 00:28:47,160 Speaker 2: But instead you go with that bizarre, hilariously disingenuous explanation. 531 00:28:47,560 --> 00:28:49,360 Speaker 2: Why would you do that? Mail bag it? 532 00:28:49,480 --> 00:28:52,360 Speaker 1: Armstrong in geddy dot com and Apple spokeswoman blame the 533 00:28:52,400 --> 00:28:54,600 Speaker 1: issue on phonetic overlap between. 534 00:28:54,320 --> 00:28:59,640 Speaker 2: The two words. Right right, there isn't really any I've. 535 00:28:59,480 --> 00:29:01,240 Speaker 3: Written many songs. Let me, let me see if I 536 00:29:01,280 --> 00:29:04,640 Speaker 3: can make this work. I went to d C to 537 00:29:04,800 --> 00:29:08,960 Speaker 3: talk to Trump, but it left me wanting to take 538 00:29:09,160 --> 00:29:10,200 Speaker 3: a racist. 539 00:29:10,920 --> 00:29:13,480 Speaker 2: Is that a good good rhyme? There? Who's any other 540 00:29:13,600 --> 00:29:15,280 Speaker 2: songwriters out there like to comment? 541 00:29:16,280 --> 00:29:19,200 Speaker 3: Come on, Apple, be better than that. Mailbag is coming 542 00:29:19,280 --> 00:29:24,840 Speaker 3: up in moments. Stay with us, so I. 543 00:29:24,760 --> 00:29:26,960 Speaker 2: Know for some of you this is a really big day. 544 00:29:27,520 --> 00:29:31,240 Speaker 1: Pam Bondi says she's going to release the Epstein information, 545 00:29:31,360 --> 00:29:33,720 Speaker 1: the Epstein list, travel logs, et cetera, et cetera. 546 00:29:33,800 --> 00:29:36,400 Speaker 2: We can talk more about that maybe an hour or two. 547 00:29:37,040 --> 00:29:40,280 Speaker 1: Yeah, indeed, everybody's looking forward to that in a weird, 548 00:29:40,640 --> 00:29:46,680 Speaker 1: purient way. Mostly I think, hmm, well, we can discuss 549 00:29:46,760 --> 00:29:48,880 Speaker 1: and certainly share those names with you. 550 00:29:49,600 --> 00:29:51,960 Speaker 2: Oh I feel a little weird about it. I don't know, 551 00:29:52,040 --> 00:29:55,040 Speaker 2: that's that's not what most people are all jazzed up about. Well, 552 00:29:55,040 --> 00:29:56,080 Speaker 2: we'll talk about it next hour. 553 00:29:56,280 --> 00:29:58,479 Speaker 3: Okay, here's your freedom loving quote of the day from 554 00:29:58,560 --> 00:30:01,960 Speaker 3: George Washington. We should not look back unless it is 555 00:30:02,160 --> 00:30:05,640 Speaker 3: to derive useful lessons from past errors and for the 556 00:30:05,680 --> 00:30:10,320 Speaker 3: purpose of profiting by dearly bought experience. That reminds me 557 00:30:10,360 --> 00:30:14,120 Speaker 3: of a nietzschee quote I heard yesterday about how nations 558 00:30:14,200 --> 00:30:19,200 Speaker 3: need to be able to forget certain things and remember 559 00:30:19,280 --> 00:30:23,880 Speaker 3: certain things to survive. And I don't think he meant 560 00:30:23,880 --> 00:30:27,080 Speaker 3: forgets in like bury your history, but like not dwell 561 00:30:27,160 --> 00:30:32,240 Speaker 3: on right certain things you've done wrong, what you know 562 00:30:32,280 --> 00:30:34,520 Speaker 3: it'd be like in your marriage or your you know, 563 00:30:34,600 --> 00:30:35,480 Speaker 3: your relationship with. 564 00:30:35,440 --> 00:30:38,560 Speaker 1: Your boss or your kids or whatever. Sports is the 565 00:30:38,600 --> 00:30:39,920 Speaker 1: same way sports psychology. 566 00:30:39,960 --> 00:30:43,000 Speaker 3: You can't agonize over your mistakes while you're doing the 567 00:30:43,000 --> 00:30:47,600 Speaker 3: next play. Yeah, anyway, Yeah, an interesting thought. More could 568 00:30:47,600 --> 00:30:49,560 Speaker 3: be said, certainly on that point. You know, the one 569 00:30:49,600 --> 00:30:51,560 Speaker 3: thing about being young, and I was as guilty of 570 00:30:51,560 --> 00:30:55,280 Speaker 3: it as anybody is. Since you are young and have 571 00:30:55,440 --> 00:30:59,960 Speaker 3: quickly arrived at your decision on what the world must 572 00:31:00,200 --> 00:31:03,200 Speaker 3: to do. Now that you've taken one college class, you 573 00:31:03,280 --> 00:31:08,240 Speaker 3: assume everybody else has done the same, including the older generation, 574 00:31:08,440 --> 00:31:11,440 Speaker 3: and that the world that exists was just arbitrarily and 575 00:31:11,440 --> 00:31:16,520 Speaker 3: hastily designed. As opposed to, as Washington said, you're profiting 576 00:31:16,560 --> 00:31:20,040 Speaker 3: by dearly bought experience. Things are the way they are 577 00:31:20,080 --> 00:31:22,440 Speaker 3: because we've tried a thousand different things, some of them 578 00:31:22,480 --> 00:31:25,040 Speaker 3: several times, and we're going with what works. 579 00:31:24,960 --> 00:31:31,280 Speaker 2: Anyway, mailbag, what drops not? Mail bag at Armstrong. 580 00:31:31,320 --> 00:31:37,680 Speaker 1: In giddy dot Com, Eric new to Florgan writes, your weight, 581 00:31:37,760 --> 00:31:38,640 Speaker 1: it's just a number. 582 00:31:38,720 --> 00:31:40,720 Speaker 3: I often hear you and Jack say you have a 583 00:31:40,760 --> 00:31:43,560 Speaker 3: negative relationship with your body and the scale. I too, 584 00:31:43,640 --> 00:31:45,880 Speaker 3: was once concerned about my own half until I used 585 00:31:45,880 --> 00:31:49,000 Speaker 3: this weird trick. Convert your pounds to stone like you're 586 00:31:49,000 --> 00:31:51,920 Speaker 3: an Englishman, so simple. You're slapping your forehead right now 587 00:31:51,960 --> 00:31:56,160 Speaker 3: with this painfully simple solution. Per instance, I e. Weigh 588 00:31:56,200 --> 00:31:58,000 Speaker 3: two hundred and forty five pounds. This is not good. 589 00:31:58,160 --> 00:32:01,120 Speaker 3: But after a simple conversion, divide by fourteen and now 590 00:32:01,160 --> 00:32:04,000 Speaker 3: only way seventeen and a half stone. That's a much 591 00:32:04,040 --> 00:32:09,200 Speaker 3: smaller number by anyone's reckoning. That's an excellent diet. Hint there, Eric, 592 00:32:09,240 --> 00:32:10,840 Speaker 3: and I would say, if you're not ready to lose 593 00:32:10,880 --> 00:32:14,800 Speaker 3: that much weight, that quickly go with Kilo's divide by 594 00:32:14,920 --> 00:32:19,600 Speaker 3: two point two. Moving along, Chris in Visalia writes, Trump's 595 00:32:19,600 --> 00:32:21,280 Speaker 3: outrageous executive orders. 596 00:32:21,040 --> 00:32:23,960 Speaker 1: Have gone too far. Did you hear about this? He's 597 00:32:24,040 --> 00:32:27,880 Speaker 1: changed Taco Tuesday to Taco Wednesday. He's renamed Canadian Bacon 598 00:32:27,920 --> 00:32:33,040 Speaker 1: to Montana Ham. He's changed the name of the Montezuma's 599 00:32:33,080 --> 00:32:36,600 Speaker 1: Revenge to the Biden Trots. He's renamed the Democratic Party 600 00:32:36,680 --> 00:32:37,719 Speaker 1: the Donkey Show. 601 00:32:37,720 --> 00:32:40,400 Speaker 3: That's not good, not at all, And as a final 602 00:32:40,440 --> 00:32:43,840 Speaker 3: act of narcissism, he has ordered McDonald's to drop the 603 00:32:44,000 --> 00:32:46,320 Speaker 3: Mick and simply become Donald's. 604 00:32:47,000 --> 00:32:49,400 Speaker 2: Oh boy, you're right, that's executive overreach. 605 00:32:49,720 --> 00:32:52,360 Speaker 1: I see yesterday changing the name of Canada to gay 606 00:32:52,440 --> 00:32:54,520 Speaker 1: North Dakota. 607 00:32:54,680 --> 00:32:58,640 Speaker 2: I don't know what that is. Wow. Uh pissed off. 608 00:32:58,680 --> 00:33:02,920 Speaker 3: Pete in in Salt Lake City, Utah rights Oh on 609 00:33:03,040 --> 00:33:07,000 Speaker 3: the doctor questioning you and your son, and you know 610 00:33:07,040 --> 00:33:08,720 Speaker 3: when sometimes you get ordered out of the room so 611 00:33:08,760 --> 00:33:09,720 Speaker 3: they can question your son. 612 00:33:09,800 --> 00:33:13,280 Speaker 1: To prevent a single case of child abuse anyway, he says, 613 00:33:13,320 --> 00:33:15,440 Speaker 1: I agree with Jack. Let's see if the doctor's qualified 614 00:33:15,480 --> 00:33:17,800 Speaker 1: and safe. Let's ask these questions doctor, before you take 615 00:33:17,840 --> 00:33:20,200 Speaker 1: my child beyond closed doors outside of my presence. I'd 616 00:33:20,240 --> 00:33:21,720 Speaker 1: like to talk to your wife and children have a 617 00:33:21,760 --> 00:33:24,200 Speaker 1: few questions for them without you being around. 618 00:33:24,600 --> 00:33:26,959 Speaker 2: That's a good one. That is a good one. Pete 619 00:33:27,560 --> 00:33:30,280 Speaker 2: Scott and pleasant Hill. The justification of the physician who 620 00:33:30,320 --> 00:33:34,720 Speaker 2: texted Jack his defensive the did your father stop beating 621 00:33:34,720 --> 00:33:37,120 Speaker 2: you yet? And where does he keep his guns? Questions? 622 00:33:36,960 --> 00:33:39,280 Speaker 3: As the same justification, they would also do away with 623 00:33:39,280 --> 00:33:41,520 Speaker 3: our right to remain silent, to have a lawyer against 624 00:33:41,520 --> 00:33:44,960 Speaker 3: self incrimination, to possess a firearm, on and on if 625 00:33:44,960 --> 00:33:46,280 Speaker 3: it saves one innocent life. 626 00:33:46,360 --> 00:33:48,000 Speaker 2: Argument could easily be used to. 627 00:33:47,920 --> 00:33:49,920 Speaker 1: Take away all of those rights, and has been used 628 00:33:49,960 --> 00:33:52,600 Speaker 1: that way and throughout history. Oh yeah, I mean, if 629 00:33:52,600 --> 00:33:55,640 Speaker 1: you're going to use that philosophy, you need to search 630 00:33:55,760 --> 00:33:59,440 Speaker 1: every car at to various checkpoints and every home. 631 00:33:59,520 --> 00:34:02,600 Speaker 3: Certainly you know. But this is to me, this is 632 00:34:02,640 --> 00:34:05,640 Speaker 3: not a your evil and I'm good thing that one's 633 00:34:05,680 --> 00:34:07,160 Speaker 3: clearly wrong, one's clearly right. 634 00:34:07,560 --> 00:34:09,320 Speaker 2: It is competing interests. 635 00:34:09,400 --> 00:34:14,480 Speaker 1: It is good against good, seeking a balance, which is 636 00:34:15,239 --> 00:34:17,960 Speaker 1: exactly what we do when we design and run governments 637 00:34:18,080 --> 00:34:19,520 Speaker 1: theory theoretically. 638 00:34:19,600 --> 00:34:21,640 Speaker 2: Let's see, we're pressed for time. 639 00:34:25,280 --> 00:34:28,279 Speaker 1: Oh, the first Circuit Court of Appeals case that says 640 00:34:28,320 --> 00:34:31,480 Speaker 1: parents have no right to hear about their child's mental 641 00:34:31,760 --> 00:34:34,520 Speaker 1: health issues at school. I will be going into depth 642 00:34:34,600 --> 00:34:37,600 Speaker 1: with that, But several people said, I totally agree. I 643 00:34:37,600 --> 00:34:41,560 Speaker 1: will bury anyone who tries to mess with my family FAFO. 644 00:34:41,880 --> 00:34:45,240 Speaker 1: I'm not a tough guy, but don't f with my family. 645 00:34:46,800 --> 00:34:49,759 Speaker 3: The Left is messing with the family, or effing with it, 646 00:34:49,800 --> 00:34:53,000 Speaker 3: if you prefer, in a very primal, fundamental way, and 647 00:34:53,040 --> 00:34:54,480 Speaker 3: they are going to find out. 648 00:34:54,560 --> 00:34:55,839 Speaker 2: I think more on that next hour. 649 00:34:56,000 --> 00:34:58,080 Speaker 1: Many of these people who have these views have no children. 650 00:34:58,160 --> 00:35:00,920 Speaker 1: By the way, if you miss an hour podcast Armstrong, 651 00:35:00,960 --> 00:35:04,560 Speaker 1: you Getty on demand Armstrong and Getty