1 00:00:01,800 --> 00:00:06,120 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,160 --> 00:00:10,240 Speaker 1: Washington Broadcast Center, Jack Armstrong, Shoe Getty. 3 00:00:10,160 --> 00:00:17,680 Speaker 2: Arm Strong and Jetty and he Armstrong and Yetty. 4 00:00:23,440 --> 00:00:26,080 Speaker 3: And finally, a new study found that major US airlines 5 00:00:26,079 --> 00:00:28,840 Speaker 3: could save five and eighty million dollars a year on 6 00:00:28,920 --> 00:00:33,720 Speaker 3: fuel thanks to weight loss drugs. That's on top of 7 00:00:33,760 --> 00:00:35,839 Speaker 3: the other five minute they save in fuel by not 8 00:00:35,880 --> 00:00:36,440 Speaker 3: taking off. 9 00:00:39,120 --> 00:00:43,199 Speaker 2: That is amazing. Yes, it is Wow. 10 00:00:44,080 --> 00:00:48,720 Speaker 1: We'll just have to haul lighter cargo because people won't 11 00:00:48,720 --> 00:00:49,600 Speaker 1: be so heavy. 12 00:00:49,680 --> 00:00:51,839 Speaker 2: Lighter carcasses. Who is great? Who's all that? 13 00:00:56,480 --> 00:00:58,040 Speaker 1: By the way, they keep showing that play from the 14 00:00:58,080 --> 00:01:00,200 Speaker 1: game last night that was fourth down. They went for 15 00:01:00,280 --> 00:01:03,080 Speaker 1: it twice and fourth down in a low scoring game that. 16 00:01:03,120 --> 00:01:05,240 Speaker 2: Drives five in that case, Yeah, that was. 17 00:01:05,240 --> 00:01:09,039 Speaker 1: Something could have filmed anyway. I want to talk later 18 00:01:09,080 --> 00:01:10,960 Speaker 1: about this article on the Wall Street Journal over the 19 00:01:11,000 --> 00:01:16,120 Speaker 1: weekend that really got my attention. Silicon Valley thinks the 20 00:01:16,160 --> 00:01:18,000 Speaker 1: American dream is going to go away. And when I 21 00:01:18,000 --> 00:01:19,960 Speaker 1: saw that, I thought, Okay, hippies, I don't believe in 22 00:01:19,959 --> 00:01:20,479 Speaker 1: the American dream. 23 00:01:20,480 --> 00:01:20,960 Speaker 2: Blah blah. 24 00:01:21,000 --> 00:01:22,520 Speaker 1: No, they think the American dream is going to go 25 00:01:22,560 --> 00:01:25,240 Speaker 1: away because AI is going to be so productive. There's 26 00:01:25,319 --> 00:01:28,319 Speaker 1: no reason to work to get ahead. We're all going 27 00:01:28,400 --> 00:01:30,759 Speaker 1: to have as much of everything we need and then. 28 00:01:30,680 --> 00:01:32,479 Speaker 2: What we won't be needed anyway. 29 00:01:32,080 --> 00:01:34,920 Speaker 1: And what is life going to be? Then it's pretty 30 00:01:34,959 --> 00:01:37,280 Speaker 1: fascinating and more on that later. 31 00:01:37,400 --> 00:01:39,119 Speaker 2: Saw that too and horrifying. 32 00:01:39,240 --> 00:01:41,600 Speaker 4: Also in a related story, AI is not going to 33 00:01:41,680 --> 00:01:44,000 Speaker 4: take your job quite yet, as I spent the entire 34 00:01:44,000 --> 00:01:45,759 Speaker 4: weekend fighting it and it sucks. 35 00:01:46,120 --> 00:01:51,040 Speaker 2: So that but first fighting it in it sucks getting 36 00:01:51,080 --> 00:01:52,080 Speaker 2: back to hippies. 37 00:01:52,120 --> 00:01:56,680 Speaker 4: Here is the practical and reasonable thinking of America's progressives, 38 00:01:56,720 --> 00:02:00,240 Speaker 4: as embodied by a lefty woman in minneapol Us. 39 00:02:00,840 --> 00:02:02,560 Speaker 5: So, I mean, I'm just walking around kind of just 40 00:02:02,640 --> 00:02:05,320 Speaker 5: dayside because I got it. 41 00:02:05,400 --> 00:02:06,440 Speaker 2: I was like, I don't know if it's the right 42 00:02:06,440 --> 00:02:06,760 Speaker 2: thing to do. 43 00:02:06,840 --> 00:02:08,840 Speaker 5: It feels kind of wrong being here in some way. 44 00:02:08,880 --> 00:02:09,400 Speaker 2: I don't know why. 45 00:02:10,480 --> 00:02:17,560 Speaker 5: Why, Yeah, I don't know. I don't know like where 46 00:02:17,680 --> 00:02:22,519 Speaker 5: that stems from, Like I don't I mean part of 47 00:02:22,560 --> 00:02:26,679 Speaker 5: it is being like a white woman that I'm privileged, 48 00:02:26,720 --> 00:02:29,960 Speaker 5: and I have a lot of privilege. So I feel 49 00:02:29,960 --> 00:02:33,240 Speaker 5: like white tears are not always something that's helpful or 50 00:02:33,320 --> 00:02:37,200 Speaker 5: necessary when black and brown people have been experiencing this 51 00:02:37,880 --> 00:02:38,600 Speaker 5: for a long time. 52 00:02:39,000 --> 00:02:42,760 Speaker 2: This isn't new for them, and so I don't know 53 00:02:42,760 --> 00:02:46,000 Speaker 2: if that makes any sense in that way. It doesn't. No, no, 54 00:02:46,120 --> 00:02:46,919 Speaker 2: thank you for asking. 55 00:02:47,080 --> 00:02:51,560 Speaker 4: So one middle aged white lady is sad because a 56 00:02:51,600 --> 00:02:55,440 Speaker 4: different middle aged white lady got shot and is wandering around, 57 00:02:55,600 --> 00:02:58,680 Speaker 4: wandering around wondering if she's allowed to be sad because 58 00:02:58,760 --> 00:03:02,200 Speaker 4: something something bractic black and brown people, and she has 59 00:03:02,280 --> 00:03:06,320 Speaker 4: white tears, and she has privilege. These people are cuckoo nuts, 60 00:03:06,680 --> 00:03:08,560 Speaker 4: actual they shouldn't be in charge of anything. 61 00:03:08,639 --> 00:03:13,840 Speaker 1: They're actually mentally ill. That woman is in tears and 62 00:03:14,000 --> 00:03:19,480 Speaker 1: great emotional turmoil over guilt for feeling bad that someone 63 00:03:19,560 --> 00:03:27,079 Speaker 1: got shot because she's white. You're crazy, You're completely crazy. 64 00:03:27,720 --> 00:03:29,680 Speaker 2: You should be in a room made of rubber with 65 00:03:29,720 --> 00:03:32,000 Speaker 2: no door handles. Right well. 66 00:03:32,040 --> 00:03:35,920 Speaker 4: Dennis neil Is, a commentator and writer, visited Portland recently. 67 00:03:35,960 --> 00:03:38,160 Speaker 4: New York not the only place where socialism is on 68 00:03:38,200 --> 00:03:41,280 Speaker 4: the rise. It's not getting a lot of attention. We've 69 00:03:41,320 --> 00:03:43,880 Speaker 4: talked about it a little bit here. But in November, 70 00:03:43,960 --> 00:03:48,560 Speaker 4: Oregon's largest city, Portland, obviously formed a new city council 71 00:03:48,800 --> 00:03:53,400 Speaker 4: elected four members of the Democratic Socialists of America. When 72 00:03:53,520 --> 00:03:57,040 Speaker 4: Donnie's party that believes in, you know, essentially tearing down 73 00:03:57,640 --> 00:04:02,320 Speaker 4: Western civilization and and building a Marxist utopia. So these 74 00:04:02,360 --> 00:04:04,560 Speaker 4: four dominate the twelve person council with the help of 75 00:04:04,600 --> 00:04:06,840 Speaker 4: two progressive Democrats, and they're driving the city in a 76 00:04:06,880 --> 00:04:10,760 Speaker 4: different direction, at a different dangerous direction, at the worst time. 77 00:04:11,160 --> 00:04:14,200 Speaker 4: As Dennis points out, Oregon is struggling with self inflicted ills, 78 00:04:14,240 --> 00:04:17,720 Speaker 4: from rampant vagrancy to an exodus of high earners. 79 00:04:18,120 --> 00:04:21,000 Speaker 2: Even before that, a September. 80 00:04:20,440 --> 00:04:23,200 Speaker 4: Poll found that two thirds of Oregonians believe their economy 81 00:04:23,240 --> 00:04:29,240 Speaker 4: is pretty seriously off on the wrong track, and he 82 00:04:29,279 --> 00:04:31,400 Speaker 4: says I saw firsthand during a week long visit in 83 00:04:31,440 --> 00:04:34,440 Speaker 4: November the city's reeling from a series of growth killers, 84 00:04:34,520 --> 00:04:39,440 Speaker 4: high taxes, union contracts, and unaccountable government, surging vagrancy, drug addiction. 85 00:04:39,760 --> 00:04:42,480 Speaker 4: Walk through downtown you'll see a raft of vacant storefronts 86 00:04:42,480 --> 00:04:46,440 Speaker 4: and empty office buildings riddled with graffiti. Local officials estimate 87 00:04:46,440 --> 00:04:50,280 Speaker 4: the metropolitan area is losing a billion dollars every year. 88 00:04:50,720 --> 00:04:52,040 Speaker 2: Is high earners flee? 89 00:04:52,920 --> 00:04:55,200 Speaker 4: Importantly, he writes, I drove past an open air drug 90 00:04:55,240 --> 00:04:58,040 Speaker 4: market where fentanyl pills are so common that their cost 91 00:04:58,080 --> 00:05:01,600 Speaker 4: is three for a dollar. I spotted hundreds of tents 92 00:05:01,600 --> 00:05:05,600 Speaker 4: and tarps on sidewalks, building interests, parks, highway underpasses. Many 93 00:05:05,600 --> 00:05:08,280 Speaker 4: of these makeshift shelters likely came from the county government, 94 00:05:08,440 --> 00:05:11,880 Speaker 4: which has issued thousands since the pandemic and only last 95 00:05:11,920 --> 00:05:16,320 Speaker 4: year started to limit its tent distribution. They quite literally 96 00:05:16,400 --> 00:05:18,800 Speaker 4: are giving tents to people who ought to be junkies 97 00:05:18,800 --> 00:05:22,680 Speaker 4: on the streets of Portland. The city also allows organizations 98 00:05:22,720 --> 00:05:25,359 Speaker 4: to hand out clean needles, syringes, and crack pipes. City 99 00:05:25,400 --> 00:05:28,200 Speaker 4: cleaning cruise to the stage occasional sweepes to throw away 100 00:05:28,240 --> 00:05:32,039 Speaker 4: all the garbage, But more tents and tarps soon pop up, 101 00:05:32,960 --> 00:05:35,400 Speaker 4: and many locals described the state as a victim of 102 00:05:35,400 --> 00:05:39,680 Speaker 4: its own self inflicted policy areas anybody who's any sense does. 103 00:05:40,960 --> 00:05:43,800 Speaker 4: Dan Lavy, a Republican strategist, told me he used to 104 00:05:43,800 --> 00:05:46,479 Speaker 4: be viewed as a Rhino Republican in name only, he says, 105 00:05:46,520 --> 00:05:48,919 Speaker 4: but these days I sound like Rush Limbaugh. I feel 106 00:05:48,920 --> 00:05:51,360 Speaker 4: like a reactionary conservative in a way I never was. 107 00:05:51,560 --> 00:05:53,400 Speaker 4: I think there's a lot of Liberals in Portland who 108 00:05:53,440 --> 00:05:54,160 Speaker 4: are this way. 109 00:05:54,320 --> 00:05:57,919 Speaker 2: Now. It happens eventually like it did in San Francisco. 110 00:05:58,880 --> 00:06:04,000 Speaker 4: Yeah, you've got the Dmocrats who this one hosts a 111 00:06:04,040 --> 00:06:08,640 Speaker 4: podcast Rational in Portland, worked downtown for two decades until 112 00:06:08,680 --> 00:06:10,880 Speaker 4: she was assaulted last year while walking from her car 113 00:06:10,920 --> 00:06:13,200 Speaker 4: to her office building. Never returned, moved to new space 114 00:06:13,279 --> 00:06:17,520 Speaker 4: elsewhere you got the Black Lives Matter riots damaged ravaged 115 00:06:17,560 --> 00:06:22,560 Speaker 4: the city in twenty twenty. And this gal, the podcaster, 116 00:06:22,720 --> 00:06:26,840 Speaker 4: points Outland Portlanders are left of the Democratic Party, which 117 00:06:26,960 --> 00:06:28,920 Speaker 4: is a Democrat. Just blows my mind because to me, 118 00:06:29,000 --> 00:06:32,320 Speaker 4: the Democratic Party is insane. It is progressive insanity, and 119 00:06:32,360 --> 00:06:37,320 Speaker 4: we're left of that. How far will it go? 120 00:06:37,720 --> 00:06:41,320 Speaker 1: Yeah, well, you'd have to be talking about people that 121 00:06:41,360 --> 00:06:45,240 Speaker 1: are still sane, like that woman we heard from. You 122 00:06:45,279 --> 00:06:49,600 Speaker 1: can't be counting on that person to ever decide enough 123 00:06:49,680 --> 00:06:50,080 Speaker 1: is enough. 124 00:06:51,240 --> 00:06:55,440 Speaker 2: That's crazy, That is so crazy. Why isn't that called 125 00:06:55,440 --> 00:06:59,880 Speaker 2: out by more like mainstream people. Is Well, that's nuts. 126 00:07:00,120 --> 00:07:02,120 Speaker 1: Let's here we have we have we have a psychiatrist 127 00:07:02,160 --> 00:07:04,799 Speaker 1: on the ABC Evening News tonight to explain why anybody 128 00:07:04,800 --> 00:07:07,920 Speaker 1: would ever have that incredibly not so opinion that they 129 00:07:07,920 --> 00:07:11,119 Speaker 1: should feel guilty about being upset about somebody being shot 130 00:07:11,200 --> 00:07:12,200 Speaker 1: because they're white. 131 00:07:12,360 --> 00:07:14,360 Speaker 4: Well, that gets back to something we talked about an 132 00:07:14,400 --> 00:07:16,640 Speaker 4: hour or two ago. And I've been reading about it. 133 00:07:16,640 --> 00:07:18,720 Speaker 4: It's super crazy interesting, and I'm going to reread it 134 00:07:18,760 --> 00:07:21,240 Speaker 4: and really, you know, drive it into my brain because 135 00:07:21,240 --> 00:07:23,840 Speaker 4: it's so important about how people on the left tend 136 00:07:23,920 --> 00:07:31,480 Speaker 4: to really dislike borders of any sort, divisions, judgments, rules, 137 00:07:31,640 --> 00:07:36,600 Speaker 4: enforcing rules. They're super uncomfortable with it. So for an activist, 138 00:07:36,920 --> 00:07:40,880 Speaker 4: you know whatever, I'm pro illegal immigrant, to criticize the 139 00:07:41,000 --> 00:07:44,520 Speaker 4: lunacy of the I want to give Needles intents to 140 00:07:44,600 --> 00:07:47,600 Speaker 4: junkies so they can have as easy and comfortable a 141 00:07:47,640 --> 00:07:48,960 Speaker 4: life being as junkie as possible. 142 00:07:49,080 --> 00:07:53,040 Speaker 1: They can't criticize each other. It's so uncomfortable for them 143 00:07:53,080 --> 00:07:56,880 Speaker 1: in a way that we literally can't even picture. We 144 00:07:56,920 --> 00:08:02,040 Speaker 1: can't feel it because our brains are made differently anyway, 145 00:08:02,120 --> 00:08:06,240 Speaker 1: So they don't a follow up article to that, Ron DeSantis, 146 00:08:06,240 --> 00:08:10,880 Speaker 1: remember him. He's doing such a bang up job in Florida. 147 00:08:11,280 --> 00:08:12,680 Speaker 1: Everybody should know it. 148 00:08:13,480 --> 00:08:17,160 Speaker 4: The press doesn't cover it because they're super uncomfortable with it. 149 00:08:17,200 --> 00:08:19,840 Speaker 4: But the Florida Miracle in a moment after a word 150 00:08:19,880 --> 00:08:25,320 Speaker 4: from our friends are new friends and new sponsor. 151 00:08:25,480 --> 00:08:25,760 Speaker 6: The game. 152 00:08:26,760 --> 00:08:32,240 Speaker 1: Rough Greens dog food traditional dog food is dead. 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Use a discount code 170 00:09:23,520 --> 00:09:27,360 Speaker 1: discount code Armstrong to claim your free Jumpstart Trial bag 171 00:09:27,440 --> 00:09:29,000 Speaker 1: at Roughgreens dot com. 172 00:09:29,000 --> 00:09:32,520 Speaker 4: And again that's spelled ruff that's Roughcreens dot com. The 173 00:09:32,559 --> 00:09:35,040 Speaker 4: promo code is Armstrong don't change your dog's food, just 174 00:09:35,080 --> 00:09:39,160 Speaker 4: add rough greens. Watch the help benefits come alive. Woofwoof. Indeed, 175 00:09:39,840 --> 00:09:43,160 Speaker 4: so uh, don't push your dog around in a scroller 176 00:09:43,280 --> 00:09:47,839 Speaker 4: like it's a baby. Oh boy, so Florida. 177 00:09:48,280 --> 00:09:49,840 Speaker 2: Or wear it in a baby bjorn. I saw that 178 00:09:49,880 --> 00:09:50,400 Speaker 2: the other day. 179 00:09:50,520 --> 00:09:54,360 Speaker 1: Oh my god, oh am, I would somebody please have 180 00:09:54,400 --> 00:09:59,920 Speaker 1: a child. Florida is doing an unbelievable job and ensure 181 00:10:00,000 --> 00:10:08,280 Speaker 1: surance reform. It's a huge bipartisan cause in Florida because 182 00:10:08,360 --> 00:10:11,920 Speaker 1: you know, speaking of Portlandy and its problems insurance rates 183 00:10:11,920 --> 00:10:14,040 Speaker 1: both homeowners and car insurance got to be such a 184 00:10:14,040 --> 00:10:18,400 Speaker 1: problem in Florida, all the politicians overcame their bulls getting 185 00:10:18,440 --> 00:10:21,440 Speaker 1: bribed by lobbyists stuff, and said, yeah, we got to 186 00:10:21,480 --> 00:10:24,960 Speaker 1: solve this problem. Here's here's the one reason it's not 187 00:10:25,000 --> 00:10:27,360 Speaker 1: going to happen in cal Unicornia, it might happen in 188 00:10:27,360 --> 00:10:29,680 Speaker 1: New York is. One of the main things they did 189 00:10:29,800 --> 00:10:34,160 Speaker 1: was they took on the plaintiff attorney lobby because the 190 00:10:34,840 --> 00:10:38,160 Speaker 1: Sunshine State enacted a package of legal reforms in the 191 00:10:38,240 --> 00:10:42,880 Speaker 1: last couple of years that clamped down on no fault 192 00:10:43,040 --> 00:10:47,440 Speaker 1: insurance claims and all the wild fraudulent claims. In twenty 193 00:10:47,559 --> 00:10:51,440 Speaker 1: twenty one, Florida insurers faced claims of seven point eight 194 00:10:51,600 --> 00:10:57,360 Speaker 1: billion dollars in damages. Seven point eight that was more 195 00:10:57,400 --> 00:11:00,720 Speaker 1: than that was triple what the other forty nine states 196 00:11:00,800 --> 00:11:01,800 Speaker 1: combined had. 197 00:11:02,800 --> 00:11:05,959 Speaker 4: And so let's see, how do I summarize this quickly 198 00:11:06,000 --> 00:11:09,520 Speaker 4: because we don't have a lot of time. Crime syndicates 199 00:11:09,520 --> 00:11:12,800 Speaker 4: and plaintiffs attorneys have been raiding New York insurers by 200 00:11:12,800 --> 00:11:15,880 Speaker 4: employed in the state's no fault rules blah blah blah, 201 00:11:16,280 --> 00:11:20,160 Speaker 4: very similar to California. The situation the no fault system 202 00:11:20,160 --> 00:11:22,480 Speaker 4: has been an invitation for fraud injuries or often faked 203 00:11:22,600 --> 00:11:26,360 Speaker 4: or exaggerated. Unethical doctors build insurance, build insures for expensive 204 00:11:26,360 --> 00:11:31,040 Speaker 4: and unnecessary treatments, and Flora crack down on all this stuff, 205 00:11:31,040 --> 00:11:32,600 Speaker 4: and it's been miraculously effective. 206 00:11:32,840 --> 00:11:38,760 Speaker 2: Policy matters. Policy matters a lot obs well, not obvious 207 00:11:38,760 --> 00:11:39,559 Speaker 2: to a lot of people. 208 00:11:41,720 --> 00:11:44,880 Speaker 4: At one point, American Transit Insurance Company, the New York 209 00:11:44,920 --> 00:11:50,160 Speaker 4: state's largest insurer for four higher taxi and rideshare drivers, 210 00:11:50,600 --> 00:11:54,120 Speaker 4: estimating and astonishing to seventy percent of the claims that 211 00:11:54,200 --> 00:11:58,480 Speaker 4: processed each year were fraudulent sixty to seventy percent. But 212 00:11:58,720 --> 00:12:00,440 Speaker 4: the lawyers got rich. 213 00:12:02,800 --> 00:12:06,640 Speaker 1: So I was really working hard today on not having 214 00:12:06,920 --> 00:12:09,719 Speaker 1: too much serious stuff, really really really wanting to work 215 00:12:09,720 --> 00:12:12,240 Speaker 1: hard on that. But I also really really want to 216 00:12:12,280 --> 00:12:15,480 Speaker 1: tell you what the current numbers are in Iran, because 217 00:12:15,480 --> 00:12:18,960 Speaker 1: they're stunning if these organizations are correct. Oh what happened 218 00:12:19,040 --> 00:12:21,960 Speaker 1: last week? I also don't know where that leaves the 219 00:12:22,000 --> 00:12:27,840 Speaker 1: whole Donald Trump saying to protesters, you know, take them on, 220 00:12:28,000 --> 00:12:31,200 Speaker 1: come out onto the streets. We've got your back. Oh 221 00:12:31,679 --> 00:12:33,680 Speaker 1: that came and went. The moment is past. 222 00:12:33,800 --> 00:12:36,600 Speaker 4: I think is the Abe Lincoln still steaming its way? 223 00:12:37,080 --> 00:12:39,080 Speaker 1: I don't know that. I'll check back from Venezuela. I'll 224 00:12:39,080 --> 00:12:41,840 Speaker 1: have to check open source. But so we'll get to 225 00:12:41,840 --> 00:12:43,440 Speaker 1: that and a bunch of other things. Is AI going 226 00:12:43,520 --> 00:12:44,360 Speaker 1: to make is all miserable? 227 00:12:44,400 --> 00:12:45,760 Speaker 2: Probably? Stay tuned. 228 00:12:47,320 --> 00:12:52,240 Speaker 7: Armstrong Hei Busfield now behind bars in New Mexico with 229 00:12:52,280 --> 00:12:55,400 Speaker 7: no bond, charged with sex crimes against a child actor 230 00:12:55,640 --> 00:12:58,320 Speaker 7: he directed on the TV show The Cleaning Lady. In 231 00:12:58,400 --> 00:13:01,480 Speaker 7: court documents, Busfield's lawyers say the child's parents have a 232 00:13:01,559 --> 00:13:05,040 Speaker 7: history of fraud and dishonesty, and that the allegations emerged 233 00:13:05,120 --> 00:13:07,480 Speaker 7: after the child and a sibling were cut from the 234 00:13:07,520 --> 00:13:10,720 Speaker 7: show in twenty twenty four, with the mother allegedly saying 235 00:13:10,720 --> 00:13:13,160 Speaker 7: to the show's lead actor that she would get her 236 00:13:13,240 --> 00:13:14,960 Speaker 7: revenge against Tim Busfield. 237 00:13:15,120 --> 00:13:18,240 Speaker 1: Tim Bussfield a big star. You either know who he 238 00:13:18,320 --> 00:13:20,480 Speaker 1: is or you don't. Friend of the armstrong you get 239 00:13:20,559 --> 00:13:22,080 Speaker 1: you show. We are friends with him. Back in the day, 240 00:13:22,520 --> 00:13:26,960 Speaker 1: I hated hearing this story. He's in jail still, Yeah, 241 00:13:27,000 --> 00:13:29,600 Speaker 1: I'm surprised. I think they're having a custody hearing today. 242 00:13:31,440 --> 00:13:36,040 Speaker 4: You know, nobody knows what sexual kink slurk in people's hearts, 243 00:13:36,640 --> 00:13:39,040 Speaker 4: But the idea that he would victimize a child is 244 00:13:39,040 --> 00:13:43,160 Speaker 4: so incredibly out of character for Tim and his wife. 245 00:13:43,280 --> 00:13:45,360 Speaker 4: Her Defenselsta Gilbert. 246 00:13:45,360 --> 00:13:49,439 Speaker 2: I didn't realize he was married to lour Engles Wilder as. 247 00:13:50,600 --> 00:13:54,520 Speaker 4: The most morally once she call him, I can't remember, 248 00:13:54,520 --> 00:13:59,200 Speaker 4: but a person with the firmest and clearest moral code 249 00:13:59,240 --> 00:14:00,560 Speaker 4: of anybody she's ever known. 250 00:14:01,520 --> 00:14:03,200 Speaker 2: It would be very, very, very surprising. 251 00:14:03,200 --> 00:14:05,719 Speaker 4: And then it turns out these people might be grifters, 252 00:14:07,000 --> 00:14:08,520 Speaker 4: con people's. 253 00:14:08,000 --> 00:14:10,200 Speaker 2: Let's let this play out as it should. 254 00:14:10,280 --> 00:14:14,239 Speaker 1: And what sucks, of course, is he could be completely 255 00:14:14,280 --> 00:14:18,240 Speaker 1: exonerated today. The woman could confess Yeah, but in a 256 00:14:18,240 --> 00:14:21,280 Speaker 1: certain percentage of people's mind. His name will be attached 257 00:14:21,320 --> 00:14:22,880 Speaker 1: to that forever. 258 00:14:23,560 --> 00:14:26,320 Speaker 4: Yeah, that's correct. It's horrifying. It's a horrifying thing to 259 00:14:26,360 --> 00:14:29,240 Speaker 4: do to falsely accuse somebody of a horrendous crime like that. 260 00:14:29,280 --> 00:14:31,720 Speaker 4: If indeed that's where well, no what I said is true, 261 00:14:31,800 --> 00:14:34,880 Speaker 4: no matter what's going on here. But if that's what's 262 00:14:34,880 --> 00:14:36,960 Speaker 4: going on here, it's a horrible example of it. 263 00:14:38,760 --> 00:14:43,480 Speaker 1: So biggest uprising in Iran since the revolution in seventy nine. 264 00:14:45,000 --> 00:14:48,440 Speaker 1: Trump gets behind it, says, take to the streets, take 265 00:14:48,440 --> 00:14:52,840 Speaker 1: on your institutions, take down the names of the people 266 00:14:52,880 --> 00:14:54,920 Speaker 1: abusing you, because there's gonna be a price to pay. 267 00:14:54,920 --> 00:14:55,760 Speaker 2: We've got your back. 268 00:14:57,000 --> 00:15:02,040 Speaker 1: It looks like the government brought in Iranian soldiers from Iraq, 269 00:15:02,200 --> 00:15:06,440 Speaker 1: like hardened soldiers into all the towns and started shooting 270 00:15:06,480 --> 00:15:10,680 Speaker 1: people like crazy, with the internet and the cell phone 271 00:15:10,800 --> 00:15:13,960 Speaker 1: service turned off, slaughtered thousands of people and have put 272 00:15:14,000 --> 00:15:16,720 Speaker 1: down the uprising. We never came to their rescue. I 273 00:15:16,720 --> 00:15:19,000 Speaker 1: don't know where that stands currently. It's horrifying, but here's 274 00:15:19,000 --> 00:15:22,240 Speaker 1: the latest report Iranian doctors. And you have to take 275 00:15:22,240 --> 00:15:24,720 Speaker 1: everything with a grain of salt, because everybody has, you know, 276 00:15:24,760 --> 00:15:28,080 Speaker 1: a political reason to exaggerate This is pretty good stuff 277 00:15:28,120 --> 00:15:32,240 Speaker 1: here though, and I certainly believe it. Iranian doctors say 278 00:15:32,680 --> 00:15:37,040 Speaker 1: at least sixteen five hundred people have been killed. 279 00:15:37,800 --> 00:15:39,680 Speaker 2: This was as of Saturday. 280 00:15:39,680 --> 00:15:42,240 Speaker 1: It might be higher now three hundred and thirty thousand 281 00:15:42,280 --> 00:15:45,240 Speaker 1: more injured. How did they lead? How did they come 282 00:15:45,320 --> 00:15:48,960 Speaker 1: up with these numbers? Detailed in a new report from 283 00:15:49,000 --> 00:15:51,720 Speaker 1: doctors on the ground treating victims of the slaughter. According 284 00:15:51,720 --> 00:15:55,320 Speaker 1: to the Sunday Times, the disturbing figures compiled from eight 285 00:15:55,440 --> 00:16:00,280 Speaker 1: major hospitals and sixteen emergency departments revealed between sixteen and 286 00:16:00,880 --> 00:16:04,560 Speaker 1: eighteen thousand people have been killed. That's a lot. This 287 00:16:04,640 --> 00:16:07,800 Speaker 1: is a whole new level of brutality. Professor Amir Parasta, 288 00:16:08,200 --> 00:16:11,320 Speaker 1: an Iranian German eye surgeon, said, who spoke to the 289 00:16:11,320 --> 00:16:15,520 Speaker 1: outlet wait for the details on the eyes. Who spoke 290 00:16:15,640 --> 00:16:19,840 Speaker 1: on behalf of dozens of medical professionals in Tehran. In 291 00:16:19,880 --> 00:16:22,400 Speaker 1: twenty twenty two, they were using rubber bullets and pellet 292 00:16:22,440 --> 00:16:26,120 Speaker 1: guns taking out eyes. This time they're using military grade weapons, 293 00:16:26,280 --> 00:16:28,760 Speaker 1: and what we are seeing are gunshot and shrapnel wounds 294 00:16:28,960 --> 00:16:30,360 Speaker 1: in the head, neck and chest. 295 00:16:30,640 --> 00:16:31,640 Speaker 2: I don't know if you saw any of the. 296 00:16:31,680 --> 00:16:33,880 Speaker 1: Videos that came out over the weekend where people are 297 00:16:33,880 --> 00:16:35,920 Speaker 1: in the street and then you just start hearing shots. 298 00:16:36,080 --> 00:16:38,200 Speaker 1: They're snipers up in the buildings and they just started 299 00:16:38,200 --> 00:16:41,640 Speaker 1: shooting people in the head. Yeah, until enough people go 300 00:16:41,720 --> 00:16:45,360 Speaker 1: down that everybody runs off. I've spoken to dozens of 301 00:16:45,360 --> 00:16:47,720 Speaker 1: doctors on the ground and they are really shocked in crying. 302 00:16:47,760 --> 00:16:50,600 Speaker 1: These are surgeons who have seen war. Another three hundred 303 00:16:50,640 --> 00:16:52,720 Speaker 1: thousand to three hundred and sixty thousand have been injured, 304 00:16:52,720 --> 00:16:55,720 Speaker 1: including children and pregnant women. According to the report, at 305 00:16:55,800 --> 00:16:58,400 Speaker 1: least a thousand people have lost an eye, with one 306 00:16:58,400 --> 00:17:03,120 Speaker 1: hospital in Tehan reporting seven one thousand eye injuries. There 307 00:17:03,120 --> 00:17:05,720 Speaker 1: are so many shotgun related eye injuries that we don't 308 00:17:05,720 --> 00:17:09,720 Speaker 1: know who to treat first, said one ophthalmologist. The protests, 309 00:17:09,800 --> 00:17:12,040 Speaker 1: which explode and then goes through the history of the story, 310 00:17:12,400 --> 00:17:17,280 Speaker 1: regime has answered with overwhelming force. One person who fled 311 00:17:17,359 --> 00:17:21,560 Speaker 1: Rand told the outlet that the Republican Guard sprayed everyone 312 00:17:21,600 --> 00:17:24,240 Speaker 1: with gunfire one night, and we're calmly trying to aim 313 00:17:24,280 --> 00:17:27,359 Speaker 1: for people's heads. Sniper's on rooftops were shooting people in 314 00:17:27,400 --> 00:17:28,200 Speaker 1: the back of the head. 315 00:17:28,520 --> 00:17:30,000 Speaker 2: Another person recalled. 316 00:17:30,119 --> 00:17:32,800 Speaker 4: Boy, and that's the Republican Guard, which is the next 317 00:17:33,280 --> 00:17:36,440 Speaker 4: player up If the Mullas take a powder, as it's 318 00:17:36,440 --> 00:17:39,679 Speaker 4: being suggests that they've routed millions and millions of dollars 319 00:17:39,680 --> 00:17:42,000 Speaker 4: to foreign banks that they can access from their new 320 00:17:42,040 --> 00:17:44,960 Speaker 4: home wherever that turns out to be, then the Republican 321 00:17:45,000 --> 00:17:46,080 Speaker 4: Guard leadership moves in. 322 00:17:46,240 --> 00:17:48,880 Speaker 2: They're monsters. Are we still going to strike the leadership 323 00:17:48,920 --> 00:17:50,240 Speaker 2: of Iran? Because they're weak? 324 00:17:50,800 --> 00:17:53,359 Speaker 1: And because Trump said if you do this, you're going 325 00:17:53,400 --> 00:17:55,520 Speaker 1: to pay a price, or I think it's possible. 326 00:17:55,240 --> 00:17:56,000 Speaker 2: Yeah, you think so. 327 00:17:56,119 --> 00:17:58,360 Speaker 4: He just we didn't have enough assets to protect our 328 00:17:58,400 --> 00:18:00,880 Speaker 4: guys in the region if things got hot. 329 00:18:01,040 --> 00:18:03,840 Speaker 2: So he's moving some back. Well, that could happen this week. 330 00:18:04,160 --> 00:18:09,359 Speaker 2: That's jazzy. At least we'll have Greenland, more athlete here, 331 00:18:09,359 --> 00:18:14,920 Speaker 2: and a bunch of other stuff. Armstrong and Getty new 332 00:18:14,920 --> 00:18:15,439 Speaker 2: reporting here. 333 00:18:15,480 --> 00:18:18,680 Speaker 8: After Kiefer Sutherland's arrests, law enforcement sources tell ABC News 334 00:18:18,720 --> 00:18:21,760 Speaker 8: the uber driver claimed that Sutherland punched him multiple times 335 00:18:22,160 --> 00:18:23,160 Speaker 8: and tried to choke him. 336 00:18:23,280 --> 00:18:25,080 Speaker 2: The driver did not need medical treatment. 337 00:18:25,119 --> 00:18:27,120 Speaker 8: The sources say it appeared to officers on the scene 338 00:18:27,119 --> 00:18:30,040 Speaker 8: that Sutherland was under the influence. Sutherland was arrested on 339 00:18:30,080 --> 00:18:31,840 Speaker 8: suspicion of making criminal threats. 340 00:18:32,040 --> 00:18:37,480 Speaker 1: If he actually punched repeatedly an uber driver and threatened 341 00:18:37,520 --> 00:18:39,880 Speaker 1: to kill him because the guy wouldn't drop him off 342 00:18:39,960 --> 00:18:41,720 Speaker 1: where he wanted to drop him off, like he. 343 00:18:41,760 --> 00:18:43,960 Speaker 2: Was right in the middle of the highway. He's a 344 00:18:44,119 --> 00:18:45,480 Speaker 2: complete lunatic. 345 00:18:47,040 --> 00:18:50,040 Speaker 1: Yeah that's uh if that happened now, Or he's an 346 00:18:50,040 --> 00:18:52,080 Speaker 1: angry drunk one of those people who has a couple 347 00:18:52,119 --> 00:18:55,119 Speaker 1: of drinks and ghost dark. Well he's always been that, 348 00:18:55,480 --> 00:18:59,000 Speaker 1: but yeah, uh, you know, it's always possible though. Of 349 00:18:59,080 --> 00:19:01,680 Speaker 1: course a driver thought, hey, he's rich and famous. I'll 350 00:19:01,680 --> 00:19:03,120 Speaker 1: claim something and see if I can get a little 351 00:19:03,119 --> 00:19:06,320 Speaker 1: money out of it. That's always possible to Yeah, it is, indeed, 352 00:19:06,480 --> 00:19:08,640 Speaker 1: that's just I'm blessed. I guess I have a couple 353 00:19:08,640 --> 00:19:10,359 Speaker 1: of drinks. I can I invite the youuberg guy in 354 00:19:10,440 --> 00:19:13,360 Speaker 1: to have another drink and you know, and to hang 355 00:19:13,400 --> 00:19:16,040 Speaker 1: out back and on drink. I was always thought, I'm 356 00:19:16,080 --> 00:19:17,320 Speaker 1: an angry sober. 357 00:19:18,520 --> 00:19:18,879 Speaker 2: Drunk. 358 00:19:19,920 --> 00:19:21,920 Speaker 4: Yeah, yeah, you don't want to catch me after I've 359 00:19:21,920 --> 00:19:25,560 Speaker 4: had a couple of not drinks, a couple of days 360 00:19:25,560 --> 00:19:29,600 Speaker 4: of sobriety. Uh so, AI's not coming for your job 361 00:19:29,720 --> 00:19:32,639 Speaker 4: quite yet. It will soon. More on that in a minute. 362 00:19:32,640 --> 00:19:36,680 Speaker 4: But I was I was trying to enlist chat GPT, 363 00:19:36,800 --> 00:19:39,080 Speaker 4: in this case to help me with a project, and specifically, 364 00:19:39,440 --> 00:19:42,920 Speaker 4: I was asking it to compile a list of a 365 00:19:42,960 --> 00:19:47,959 Speaker 4: particular sort of thoughts, quotes, passages, et ceter on a 366 00:19:47,960 --> 00:19:50,399 Speaker 4: certain principle. I was researching something I'm working on writing, 367 00:19:50,840 --> 00:19:53,520 Speaker 4: and and it was it went lovely there for a while, 368 00:19:53,640 --> 00:19:55,480 Speaker 4: I mean, like really great. I was thinking, this is 369 00:19:55,520 --> 00:19:57,080 Speaker 4: the best thing in the world, and all of a sudden, 370 00:19:57,680 --> 00:20:00,880 Speaker 4: in the middle of it, it stops chat. Here's a redprint. 371 00:20:00,960 --> 00:20:03,920 Speaker 4: Chat gp isn't designed to provide this type of content. 372 00:20:04,240 --> 00:20:06,800 Speaker 4: Read the model speck for more on how chat GPT 373 00:20:06,960 --> 00:20:11,520 Speaker 4: handles creators content. And I would eye it upgraded to 374 00:20:11,280 --> 00:20:13,960 Speaker 4: the paid version too, So I was thinking, what the 375 00:20:13,960 --> 00:20:15,920 Speaker 4: heck's going on? I asked it midway through your list. 376 00:20:15,960 --> 00:20:17,760 Speaker 4: I got a message saying, blah blah blah. What I 377 00:20:17,840 --> 00:20:21,480 Speaker 4: just said, short answer, you didn't do anything wrong, and 378 00:20:21,560 --> 00:20:24,320 Speaker 4: neither did the content itself. What you ran into was 379 00:20:24,359 --> 00:20:29,000 Speaker 4: almost certainly a false positive moderation interruption, not a real prohibition. 380 00:20:29,240 --> 00:20:32,200 Speaker 4: Here's what likely happened in plane terms. And it goes 381 00:20:32,240 --> 00:20:34,920 Speaker 4: in the description that too many of the things I 382 00:20:34,960 --> 00:20:41,200 Speaker 4: was wanting deal with concepts like tyranny, oppression, violence, power, corruption, war, coercion, 383 00:20:41,200 --> 00:20:46,119 Speaker 4: et cetera. And so apparently chat GPT while it was 384 00:20:46,160 --> 00:20:50,000 Speaker 4: helping me. It's big brother or it's uncle, how do 385 00:20:50,040 --> 00:20:52,000 Speaker 4: computer's work? Said, whoa, whoa? 386 00:20:52,119 --> 00:20:54,479 Speaker 1: I think this guy wants to violently overthrow the government 387 00:20:54,560 --> 00:20:55,000 Speaker 1: or something. 388 00:20:55,560 --> 00:20:59,520 Speaker 2: And I said, well, plainly, I'm just doing what i'm doing. 389 00:20:59,600 --> 00:21:00,440 Speaker 2: You know what I'm doing. 390 00:21:00,440 --> 00:21:02,399 Speaker 4: I explained what I'm doing, and it said, you know 391 00:21:02,440 --> 00:21:05,880 Speaker 4: what You're right, You're I'm reading now why your request 392 00:21:05,960 --> 00:21:08,840 Speaker 4: is actually allowed. Your request is scare squarely in the 393 00:21:08,840 --> 00:21:12,560 Speaker 4: allowed category. And then it explains for like paragraphs why 394 00:21:12,600 --> 00:21:15,560 Speaker 4: what I'm doing is perfectly fine. Here's how we avoid 395 00:21:15,560 --> 00:21:18,920 Speaker 4: it happening again. Okay, great, continue, Then it happens again 396 00:21:19,000 --> 00:21:22,400 Speaker 4: twenty seconds later. This happens several times, and finally I say, 397 00:21:22,440 --> 00:21:25,800 Speaker 4: all right, screw it. It offered me like a half ass, 398 00:21:26,000 --> 00:21:28,440 Speaker 4: weak tea version of what I was looking for. 399 00:21:29,520 --> 00:21:31,560 Speaker 1: Like a Taco Bell, cubon or anything like that for 400 00:21:31,600 --> 00:21:34,000 Speaker 1: the trouble. No, that would have helped that, you know what, 401 00:21:34,240 --> 00:21:37,359 Speaker 1: that would have been appropriate. Listen, we understand this hasn't 402 00:21:37,359 --> 00:21:39,240 Speaker 1: gone to your expectations. Can we pick up the tab 403 00:21:39,280 --> 00:21:41,720 Speaker 1: for dessert? I mean that sort of thing. 404 00:21:41,960 --> 00:21:44,760 Speaker 4: Okay, So I finally I accept the weak tea version 405 00:21:44,800 --> 00:21:46,520 Speaker 4: of it, thinking, all right, I'm gonna have to do 406 00:21:46,600 --> 00:21:49,000 Speaker 4: a bunch of research, but this is giving me a headache. 407 00:21:49,160 --> 00:21:51,560 Speaker 4: And I say, okay, you know we've been going back 408 00:21:51,600 --> 00:21:55,040 Speaker 4: and forth with these stupid interruptions and explanations and instructions 409 00:21:55,040 --> 00:21:57,679 Speaker 4: and everything. Can you just give me the list we 410 00:21:57,760 --> 00:22:01,440 Speaker 4: came up with now clean? And I said, yeah, of 411 00:22:01,520 --> 00:22:03,960 Speaker 4: course I can. Of course, buddy, after all the trouble 412 00:22:04,000 --> 00:22:05,760 Speaker 4: I put you through, that's the least I can do. 413 00:22:06,000 --> 00:22:08,760 Speaker 4: Here we go, and five seconds later it's like, sorry, 414 00:22:08,800 --> 00:22:11,000 Speaker 4: we can't do this for that reason, that reason, that reason. 415 00:22:11,119 --> 00:22:14,280 Speaker 4: They were entirely technical. And then it went on to 416 00:22:14,480 --> 00:22:16,320 Speaker 4: I said, all right, give me some can I download? 417 00:22:16,320 --> 00:22:17,160 Speaker 2: Can I do? Somebodyes? 418 00:22:17,200 --> 00:22:20,760 Speaker 4: Here's how you download it, And of course it was instructions. 419 00:22:21,080 --> 00:22:21,720 Speaker 1: Go to Word. 420 00:22:22,119 --> 00:22:26,080 Speaker 4: Then under the under file, click on insert. Then you'll 421 00:22:26,080 --> 00:22:28,119 Speaker 4: see this symbol. Of course, that symbol isn't there. It 422 00:22:28,160 --> 00:22:30,240 Speaker 4: probably hasn't been in Word for the last five years. 423 00:22:30,560 --> 00:22:31,240 Speaker 2: And so it was. 424 00:22:31,760 --> 00:22:34,080 Speaker 1: If it would if it was a human being, I 425 00:22:34,119 --> 00:22:37,040 Speaker 1: would have fired it or murdered it. And I'm not 426 00:22:37,119 --> 00:22:40,480 Speaker 1: sure which key for Sutherland. Well, did you try any 427 00:22:40,480 --> 00:22:43,040 Speaker 1: of the other chatbots, because this morning we were talking 428 00:22:43,080 --> 00:22:45,280 Speaker 1: about MLK Junior and some files that are going to 429 00:22:45,320 --> 00:22:49,399 Speaker 1: be released, and I asked, uh, I think I asked Grock, 430 00:22:49,680 --> 00:22:52,520 Speaker 1: and I didn't know what I was talking about. I 431 00:22:52,640 --> 00:22:55,359 Speaker 1: copied and pasted the same question as chat gpt and 432 00:22:55,359 --> 00:22:59,160 Speaker 1: got what I wanted. I use four different of them 433 00:22:59,359 --> 00:23:01,800 Speaker 1: because sometimes one of them craps out some of them. 434 00:23:01,800 --> 00:23:04,240 Speaker 1: Sometimes one of them like has never heard of the 435 00:23:04,280 --> 00:23:06,320 Speaker 1: movie I asked about, and then the other one gives 436 00:23:06,359 --> 00:23:07,280 Speaker 1: me all the information. 437 00:23:07,520 --> 00:23:08,040 Speaker 2: It's weird. 438 00:23:08,920 --> 00:23:11,680 Speaker 4: Given the night marriishness of about number one, I really 439 00:23:11,720 --> 00:23:13,760 Speaker 4: wasn't in the mood to try it again. I'm just 440 00:23:13,920 --> 00:23:16,480 Speaker 4: you know what I'm doing. I'm going into the the original, 441 00:23:16,640 --> 00:23:20,080 Speaker 4: hugely long document full of all the crap, and copying 442 00:23:20,119 --> 00:23:23,080 Speaker 4: and pasting the good part to a word document. 443 00:23:23,160 --> 00:23:26,359 Speaker 1: Did you see the thing I tweeted out about Ben 444 00:23:26,400 --> 00:23:29,800 Speaker 1: Afflack talking about AI and I did. I didn't watch it, 445 00:23:29,840 --> 00:23:33,119 Speaker 1: though it's really interesting. He's he's talking about creatively and 446 00:23:33,160 --> 00:23:35,440 Speaker 1: in Hollywood and that sort of stuff. Ben Afflack came 447 00:23:35,440 --> 00:23:37,720 Speaker 1: off as like way freaking smarter than I realized. 448 00:23:37,760 --> 00:23:39,560 Speaker 2: It was he's in all kinds of research choice, I 449 00:23:39,560 --> 00:23:41,879 Speaker 2: forget what a good writer is. He's all kind of 450 00:23:41,920 --> 00:23:43,720 Speaker 2: research off. This kind of a dim wit, doesn't he? 451 00:23:43,760 --> 00:23:45,480 Speaker 2: But he got in on the whole chat. 452 00:23:45,520 --> 00:23:50,200 Speaker 1: GPT had increased its productivity this percentage, but the it's 453 00:23:50,280 --> 00:23:52,200 Speaker 1: really flat lined on the curve and in the last 454 00:23:52,200 --> 00:23:54,520 Speaker 1: couple of iterations of only and it was really detailed 455 00:23:54,520 --> 00:23:58,120 Speaker 1: and pretty convincing to me that all this may. 456 00:23:58,040 --> 00:23:59,520 Speaker 2: Have peaked a little while ago. 457 00:23:59,760 --> 00:24:03,680 Speaker 1: For now, any who getting to this Wall Street Journal 458 00:24:03,800 --> 00:24:06,359 Speaker 1: story that we wanted to talk about why the tech 459 00:24:06,400 --> 00:24:08,600 Speaker 1: world thinks the American dream is dying. 460 00:24:09,080 --> 00:24:11,200 Speaker 2: Let me read a little bit of this. It's really interesting. 461 00:24:11,760 --> 00:24:14,119 Speaker 1: Silicon Valley is filled with all sorts of dreams, but 462 00:24:14,200 --> 00:24:18,240 Speaker 1: one of those wild eyed ideas long debated on subreddits and. 463 00:24:18,160 --> 00:24:20,600 Speaker 2: In hacker houses, is becoming a real life nightmare. 464 00:24:21,040 --> 00:24:24,320 Speaker 1: Will the AI boom be the last chance to get 465 00:24:24,440 --> 00:24:29,120 Speaker 1: rich before artificial intelligence makes money essentially worthless? 466 00:24:30,440 --> 00:24:32,879 Speaker 2: That is a hell of a paragraph. 467 00:24:33,000 --> 00:24:36,240 Speaker 1: The argument is that tech companies and their leaders will 468 00:24:36,280 --> 00:24:40,800 Speaker 1: become a class unto their own with infinite wealth. No 469 00:24:40,800 --> 00:24:42,960 Speaker 1: one else will have the means to generate money for 470 00:24:43,000 --> 00:24:46,800 Speaker 1: themselves BECAUSEAI will have taken their jobs and opportunities. In 471 00:24:46,840 --> 00:24:48,639 Speaker 1: other words, the bridge is about to be raised for 472 00:24:48,680 --> 00:24:51,120 Speaker 1: those chasing the American dream, and everyone is worried about 473 00:24:51,119 --> 00:24:52,520 Speaker 1: being left on the wrong side of it. 474 00:24:53,680 --> 00:24:56,400 Speaker 4: So the tech giants and their people will have all 475 00:24:56,440 --> 00:24:58,440 Speaker 4: of the money and dole it out as they see fit. 476 00:24:58,880 --> 00:25:00,560 Speaker 2: Well, I've wondered about that for a long time. Get 477 00:25:00,600 --> 00:25:01,240 Speaker 2: to that in a second. 478 00:25:01,640 --> 00:25:04,119 Speaker 1: It's made more believable this idea by the exploits of 479 00:25:04,119 --> 00:25:06,639 Speaker 1: Elon Musk, the rise of Open Eyes, San Altman, and 480 00:25:06,720 --> 00:25:08,720 Speaker 1: warnings by anthropics Dario. 481 00:25:08,480 --> 00:25:10,360 Speaker 2: Amode is that how you pronounce his name. 482 00:25:10,520 --> 00:25:14,120 Speaker 1: About great depression like worker displacement. Here's what Elon Musk 483 00:25:14,160 --> 00:25:18,320 Speaker 1: said the other day. The transition will be bumpy. Elon said, 484 00:25:18,720 --> 00:25:23,000 Speaker 1: we'll have radical change, social unrest and immense prosperity. To 485 00:25:23,200 --> 00:25:27,040 Speaker 1: just throw out radical change in social unrest, like you know, 486 00:25:27,119 --> 00:25:28,800 Speaker 1: what do you gotta do? You want to make an omelet, 487 00:25:28,800 --> 00:25:32,560 Speaker 1: you gotta break some eggs seems pretty crazy to me. 488 00:25:34,920 --> 00:25:36,960 Speaker 2: The whole dole it out thing. That's what I've wanted 489 00:25:37,000 --> 00:25:37,720 Speaker 2: for a long time. 490 00:25:37,920 --> 00:25:41,480 Speaker 1: When various people like Sam Altman say that the GDP 491 00:25:41,640 --> 00:25:45,320 Speaker 1: is going to be you know, twentyfold or something like that. Okay, 492 00:25:46,320 --> 00:25:50,320 Speaker 1: who's collecting the money from this great productivity and doling 493 00:25:50,320 --> 00:25:50,640 Speaker 1: it out? 494 00:25:50,680 --> 00:25:53,440 Speaker 2: Is that the government? Is it? You? Is it? How 495 00:25:53,520 --> 00:25:56,880 Speaker 2: is this going to work? As if you anybody. 496 00:25:56,560 --> 00:26:01,359 Speaker 4: Think the collective we we don't think the government will 497 00:26:01,400 --> 00:26:02,600 Speaker 4: be run by. 498 00:26:02,400 --> 00:26:04,439 Speaker 2: These super giants who. 499 00:26:04,320 --> 00:26:06,880 Speaker 4: Control all of the wealth of the world. We think 500 00:26:06,920 --> 00:26:10,000 Speaker 4: the government will remain in an independent entity that looks 501 00:26:10,040 --> 00:26:11,120 Speaker 4: out for the little guy. 502 00:26:11,640 --> 00:26:12,160 Speaker 2: Oh boy. 503 00:26:16,040 --> 00:26:18,199 Speaker 1: Sam Altman from open AI said, I used to be 504 00:26:18,280 --> 00:26:22,080 Speaker 1: really excited about UBI, that's universal basic income, But I 505 00:26:22,119 --> 00:26:27,080 Speaker 1: think people really need agency something to do like Steeler, 506 00:26:27,160 --> 00:26:29,320 Speaker 1: feeling like you have some control over your life. They 507 00:26:29,320 --> 00:26:31,200 Speaker 1: need to feel like they have a voice in governing 508 00:26:31,240 --> 00:26:34,399 Speaker 1: the future and deciding where things go. He said this 509 00:26:34,480 --> 00:26:37,119 Speaker 1: last year in a podcast. If you just say, okay, 510 00:26:37,160 --> 00:26:39,800 Speaker 1: AI is going to do everything and then everybody gets 511 00:26:39,800 --> 00:26:41,680 Speaker 1: a dividend from that and plenty of money to live, 512 00:26:41,880 --> 00:26:42,880 Speaker 1: it's not going to feel good. 513 00:26:42,880 --> 00:26:45,880 Speaker 2: And I don't think it actually will be good for people. Yeah. 514 00:26:46,080 --> 00:26:47,840 Speaker 1: Oh, I'm glad some people are saying that, because I 515 00:26:47,840 --> 00:26:52,080 Speaker 1: think that's not only possible, but one hundred percent, one 516 00:26:52,119 --> 00:26:53,560 Speaker 1: thousand percent. 517 00:26:53,400 --> 00:26:55,960 Speaker 2: Likely to be a problem. Yeah. 518 00:26:56,040 --> 00:27:00,600 Speaker 4: Yeah, you have long poo pooed science fiction, although I 519 00:27:00,640 --> 00:27:02,960 Speaker 4: am a big fan because it's the whole point of 520 00:27:02,960 --> 00:27:05,800 Speaker 4: the genre is we get to look at scenarios that 521 00:27:05,920 --> 00:27:08,720 Speaker 4: seem to be coming down the pike from the future 522 00:27:09,040 --> 00:27:11,439 Speaker 4: and thinking through what they mean and what to do 523 00:27:11,520 --> 00:27:14,639 Speaker 4: about them, and what's the reality of you know, life 524 00:27:14,680 --> 00:27:18,080 Speaker 4: and identity and the purpose of work and that sort 525 00:27:18,119 --> 00:27:18,400 Speaker 4: of thing. 526 00:27:18,880 --> 00:27:21,280 Speaker 2: It is easy to envision. 527 00:27:21,040 --> 00:27:25,000 Speaker 1: A really great, you know, hind Line Asimov level science 528 00:27:25,040 --> 00:27:29,119 Speaker 1: fiction story about a civilization that invents something they can't 529 00:27:29,160 --> 00:27:31,320 Speaker 1: handle and it kills them or ruins them. 530 00:27:31,600 --> 00:27:32,960 Speaker 2: I mean, that's not even a stretch. 531 00:27:33,080 --> 00:27:37,040 Speaker 1: Well, even if we don't get into the AI you know, 532 00:27:37,119 --> 00:27:40,760 Speaker 1: an alignment problem where AI decides human beings are getting 533 00:27:40,760 --> 00:27:42,200 Speaker 1: in the way of something, or you know, we don't 534 00:27:42,200 --> 00:27:44,760 Speaker 1: even have to go into that stuff. Just this taking 535 00:27:44,840 --> 00:27:47,600 Speaker 1: jobs thing on itself is so interesting. Like Elon said 536 00:27:47,840 --> 00:27:51,160 Speaker 1: about money maybe disappearing if you don't have a scarcity 537 00:27:51,200 --> 00:27:53,359 Speaker 1: of resources, because that's what Elon says, We're going to 538 00:27:53,440 --> 00:27:57,880 Speaker 1: have as much energy, housing, food, more than we could 539 00:27:57,920 --> 00:28:00,439 Speaker 1: ever use for every single person. You don't have a 540 00:28:00,440 --> 00:28:03,040 Speaker 1: scarcity of resources, it's not clear what the purpose of 541 00:28:03,119 --> 00:28:06,400 Speaker 1: money is, he said at a conference more recently must 542 00:28:06,400 --> 00:28:09,960 Speaker 1: suggestion people shouldn't even worry about saving for retirement, predicting 543 00:28:10,000 --> 00:28:11,960 Speaker 1: AI will provide healthcare and entertainment. 544 00:28:12,119 --> 00:28:16,119 Speaker 2: It won't matter, he said of retirement savings. Yeah, I'm 545 00:28:16,119 --> 00:28:18,240 Speaker 2: gonna go ahead and hang on to mine. Well, thanks, Ylon. 546 00:28:18,760 --> 00:28:22,600 Speaker 2: What if money is out, you know what you need 547 00:28:22,640 --> 00:28:22,840 Speaker 2: to do? 548 00:28:23,160 --> 00:28:26,399 Speaker 4: Dial one eight hundred Armstrong and Getty for Armstrong and 549 00:28:26,440 --> 00:28:30,879 Speaker 4: Getty Patriot gold, which you can bury in your backyard 550 00:28:30,920 --> 00:28:34,280 Speaker 4: with our new Patriot shovel. Do it in the dark. 551 00:28:34,359 --> 00:28:36,399 Speaker 4: If your neighbors don't see you, they can't steal it. 552 00:28:36,440 --> 00:28:37,399 Speaker 4: But you'll want to light. 553 00:28:37,280 --> 00:28:41,240 Speaker 1: The scene with Armstrong E Getty's Patriot generator. And you 554 00:28:41,320 --> 00:28:44,640 Speaker 1: may get hungry, so eat our Patriot drive food while 555 00:28:44,680 --> 00:28:49,920 Speaker 1: you're burying your gold, Ai Kramba. If money is out, 556 00:28:50,080 --> 00:28:53,920 Speaker 1: scarce assets like art could become key. Musk has said 557 00:28:53,920 --> 00:28:56,760 Speaker 1: as much himself. His vision for the future involves robots 558 00:28:56,760 --> 00:28:59,840 Speaker 1: who handle physical tasks while humanity struggles to keep up 559 00:28:59,880 --> 00:29:03,800 Speaker 1: with thinking, leading to what he calls universal high income 560 00:29:04,040 --> 00:29:07,560 Speaker 1: UHI and an era of abundance in which money has 561 00:29:07,600 --> 00:29:12,200 Speaker 1: no meaning. So why say for retirement everything's going to 562 00:29:12,200 --> 00:29:12,920 Speaker 1: be provided for you? 563 00:29:15,880 --> 00:29:16,160 Speaker 2: Boy? 564 00:29:16,360 --> 00:29:20,080 Speaker 1: How have the previous promises of utopia gone mankind. 565 00:29:20,400 --> 00:29:24,160 Speaker 9: But the weird part about this is if they're right, 566 00:29:24,400 --> 00:29:29,880 Speaker 9: it's a disaster. If they're right, it's better so wrong. 567 00:29:30,040 --> 00:29:35,480 Speaker 9: If they're right, it's a disaster. The idea of nobody. 568 00:29:35,120 --> 00:29:38,000 Speaker 1: Having a job or needing to work, to have the 569 00:29:38,000 --> 00:29:41,840 Speaker 1: amount of we were talking earlier about, you know, all 570 00:29:41,840 --> 00:29:46,120 Speaker 1: the welfare legislation of the mid sixties and what that 571 00:29:46,240 --> 00:29:47,760 Speaker 1: did the neighborhoods and stuff like that. 572 00:29:47,760 --> 00:29:49,920 Speaker 2: That's got incredible damage it ed. It's going to be 573 00:29:49,920 --> 00:29:51,360 Speaker 2: in the whole world. 574 00:29:51,720 --> 00:29:54,560 Speaker 4: Wow, that's a good point. Yeah, I tell you what. 575 00:29:55,200 --> 00:29:59,080 Speaker 4: You're calling it a disaster. Here's the only neutral, depositive 576 00:29:59,080 --> 00:30:02,560 Speaker 4: spin I can put on it. Human beings in much 577 00:30:02,560 --> 00:30:07,480 Speaker 4: of the world will become very different beasts, doing very 578 00:30:07,520 --> 00:30:14,680 Speaker 4: different things. The global population might decline to eight hundred 579 00:30:14,720 --> 00:30:20,520 Speaker 4: million of the sort of people who are emotionally suited 580 00:30:20,560 --> 00:30:22,640 Speaker 4: to whatever that life looks like, and we will have 581 00:30:22,840 --> 00:30:23,680 Speaker 4: some children. 582 00:30:24,200 --> 00:30:32,719 Speaker 1: If everybody magically has a house, electricity, food, car, everything, transportation, 583 00:30:32,760 --> 00:30:34,240 Speaker 1: you got everything, clothes. 584 00:30:33,920 --> 00:30:35,800 Speaker 2: Because we're just super golf course. Can I have a 585 00:30:35,800 --> 00:30:36,800 Speaker 2: golf course and. 586 00:30:36,880 --> 00:30:40,040 Speaker 1: Everybody's got the same amount. That's another interesting wrinkle of 587 00:30:40,080 --> 00:30:44,600 Speaker 1: this so I'm a go getter just by nature, but 588 00:30:44,640 --> 00:30:46,640 Speaker 1: I have the same as everybody else. How happy am 589 00:30:46,640 --> 00:30:47,880 Speaker 1: I going to be with that? But what do you 590 00:30:47,880 --> 00:30:50,600 Speaker 1: think the average person is going to do with that lifestyle? 591 00:30:52,200 --> 00:30:54,560 Speaker 1: The typical person average is the wrong word. What's the 592 00:30:54,640 --> 00:30:58,040 Speaker 1: typical person going to do with that lifestyle? Eat, drink 593 00:30:58,080 --> 00:30:59,840 Speaker 1: and drug themselves into a coma? 594 00:31:00,040 --> 00:31:00,760 Speaker 2: That's what I think? 595 00:31:01,040 --> 00:31:04,520 Speaker 1: Yep, Yeah, the masses of people become a fat drunk 596 00:31:04,560 --> 00:31:05,360 Speaker 1: that knows nothing. 597 00:31:07,280 --> 00:31:09,680 Speaker 2: Well, you know, why are you looking at me when 598 00:31:09,680 --> 00:31:15,000 Speaker 2: you say that? Yeah? I don't. I probably knock in 599 00:31:15,040 --> 00:31:19,040 Speaker 2: my hobbies. How did that get into this conversation? Yeah? 600 00:31:19,080 --> 00:31:22,080 Speaker 4: I honestly I can't come up with an alternative vision. 601 00:31:23,160 --> 00:31:25,640 Speaker 4: If you look at the common principles of all the 602 00:31:25,640 --> 00:31:28,000 Speaker 4: great philosophies that have caught hold in humankind over the 603 00:31:28,080 --> 00:31:33,440 Speaker 4: last several thousand years, every single one of them values 604 00:31:33,920 --> 00:31:35,400 Speaker 4: hard work and having a purpose. 605 00:31:35,560 --> 00:31:38,400 Speaker 1: So I guess my final question would be why do 606 00:31:38,840 --> 00:31:40,120 Speaker 1: And I think I know the answer to this. 607 00:31:40,240 --> 00:31:41,280 Speaker 2: I'll answer my own question. 608 00:31:41,480 --> 00:31:46,280 Speaker 1: Why do Elon, Sam Altman these various other people not 609 00:31:46,400 --> 00:31:50,200 Speaker 1: think it's as obviously true as we do. And I 610 00:31:50,200 --> 00:31:54,240 Speaker 1: think it's because they're so different from all of us. 611 00:31:55,040 --> 00:31:58,960 Speaker 1: They can't even imagine that because they're so driven, there's 612 00:31:58,960 --> 00:32:01,200 Speaker 1: so much more driven than those of us who are driven, 613 00:32:02,080 --> 00:32:05,360 Speaker 1: they can't even imagine that not being utopia. 614 00:32:06,000 --> 00:32:06,760 Speaker 2: Yeah. 615 00:32:06,360 --> 00:32:09,520 Speaker 4: I just think it's partly that and partly the same 616 00:32:09,520 --> 00:32:12,600 Speaker 4: reason people sign up for time shares. It's a shiny, 617 00:32:12,640 --> 00:32:15,720 Speaker 4: exciting new thing, and they're keyed up about it, and 618 00:32:15,760 --> 00:32:19,840 Speaker 4: they keep inventing arguments for themselves why it's a good idea. 619 00:32:19,920 --> 00:32:23,000 Speaker 1: I highly recommend anybody watching that Ben Affleck thing about 620 00:32:23,000 --> 00:32:25,600 Speaker 1: AI and he points out by the way they're all 621 00:32:25,600 --> 00:32:27,360 Speaker 1: pushing how great this is going to be because they 622 00:32:27,360 --> 00:32:30,000 Speaker 1: need to keep their stock up, which is also a 623 00:32:30,040 --> 00:32:30,440 Speaker 1: part of this. 624 00:32:30,960 --> 00:32:31,240 Speaker 2: Yep. 625 00:32:31,360 --> 00:32:34,520 Speaker 1: But some football game last night. I got a highlight 626 00:32:34,520 --> 00:32:35,880 Speaker 1: from that and other stuff on the way. 627 00:32:35,880 --> 00:32:42,360 Speaker 2: Stay here and the celebration begins. 628 00:32:42,960 --> 00:32:46,760 Speaker 6: Kurt Signetti has left the Indiana Ushers to the nast 629 00:32:46,760 --> 00:32:50,320 Speaker 6: little championship in one of the great coaching jobs of 630 00:32:50,360 --> 00:32:53,960 Speaker 6: all time. In one of the great turnarounds in American 631 00:32:54,040 --> 00:32:59,960 Speaker 6: sports history, the Indiana Hoosiers are football national champion. 632 00:33:00,760 --> 00:33:02,800 Speaker 1: I'm just telling you, I wish I had gotten on 633 00:33:02,880 --> 00:33:05,120 Speaker 1: this bandwagon earlier and not a bangue. This is not 634 00:33:05,200 --> 00:33:07,480 Speaker 1: a bandwagon, like rooting for a team. This is like 635 00:33:07,520 --> 00:33:11,080 Speaker 1: a story unfolding, and I wish I'd been aware of 636 00:33:11,120 --> 00:33:11,720 Speaker 1: it earlier. 637 00:33:11,760 --> 00:33:12,560 Speaker 2: But one of the great. 638 00:33:12,440 --> 00:33:16,280 Speaker 1: Sports stories in the history of sports culminated last night 639 00:33:16,360 --> 00:33:20,440 Speaker 1: in the Indiana Hoosiers winning the national title, and stunning 640 00:33:20,440 --> 00:33:21,240 Speaker 1: stuff got more of it. 641 00:33:21,320 --> 00:33:23,600 Speaker 2: I disagree. I don't think it's a story at all. 642 00:33:23,800 --> 00:33:26,479 Speaker 4: It's a small story because sports is no longer what 643 00:33:26,520 --> 00:33:32,040 Speaker 4: you think it is. For instance, Carson Beck, the quarterback 644 00:33:32,120 --> 00:33:37,760 Speaker 4: of Miami, made north of three million dollars while at 645 00:33:37,800 --> 00:33:41,680 Speaker 4: Miami this season as a sixth year red shirt senior. 646 00:33:42,240 --> 00:33:44,920 Speaker 4: He told reporters he hasn't gone to a class since 647 00:33:44,960 --> 00:33:45,880 Speaker 4: twenty twenty three. 648 00:33:46,680 --> 00:33:50,360 Speaker 2: So what were we watching that quarterback from Miami last night? 649 00:33:50,680 --> 00:33:55,560 Speaker 1: He's a professional football player who does not ever go 650 00:33:55,640 --> 00:33:58,280 Speaker 1: to class, in fact, hasn't registered. 651 00:33:57,760 --> 00:33:58,600 Speaker 2: For a class. 652 00:33:58,960 --> 00:34:02,520 Speaker 1: Well, yeah, what was that. I've never assumed that these 653 00:34:02,600 --> 00:34:07,160 Speaker 1: people classes were illusion. 654 00:34:07,520 --> 00:34:09,480 Speaker 4: But there's a great story about a team that worked really, 655 00:34:09,520 --> 00:34:11,360 Speaker 4: really hard and was successful. I think that's fine for 656 00:34:11,440 --> 00:34:14,680 Speaker 4: human beings everywhere. But to put it in like the 657 00:34:14,719 --> 00:34:19,880 Speaker 4: pantheon of college football stories and triumphs and all, it's 658 00:34:20,000 --> 00:34:21,320 Speaker 4: just that it doesn't feel. 659 00:34:21,160 --> 00:34:24,080 Speaker 1: Quite right, Really, you're the only one who's saying that, 660 00:34:24,120 --> 00:34:26,040 Speaker 1: which is foul. You get to but you're the only 661 00:34:26,120 --> 00:34:29,040 Speaker 1: one who's enjoying the magical ride. 662 00:34:29,440 --> 00:34:30,799 Speaker 2: Oh, I enjoyed the magical ride. 663 00:34:30,840 --> 00:34:32,720 Speaker 4: Like I said, it's people working really hard to achieve 664 00:34:32,719 --> 00:34:34,920 Speaker 4: a goal and they achieved it. And they're nice folks too, 665 00:34:34,920 --> 00:34:36,600 Speaker 4: and I'm proud of them. I'm happy for them. But 666 00:34:36,640 --> 00:34:39,080 Speaker 4: college football is not what college football was. It's just 667 00:34:39,160 --> 00:34:44,200 Speaker 4: something new, which you might love, but it's it's different anyway. 668 00:34:45,040 --> 00:34:48,480 Speaker 4: I can bring it all together right here, college and 669 00:34:48,680 --> 00:34:50,920 Speaker 4: AI art, I got. 670 00:34:50,719 --> 00:34:51,560 Speaker 2: No football for you. 671 00:34:52,000 --> 00:34:55,759 Speaker 4: But a couple of days ago, University of Alaska Fairbanks 672 00:34:55,880 --> 00:34:58,879 Speaker 4: undergrad student Graham Granger was detained after he'd been found 673 00:34:59,040 --> 00:35:02,600 Speaker 4: ripping artwork off the walls and eating it in a 674 00:35:02,719 --> 00:35:09,319 Speaker 4: reported protest. According to the university Police Department, Granger was 675 00:35:09,440 --> 00:35:13,200 Speaker 4: chewing spitting out images that had been pinned to the wall. 676 00:35:14,239 --> 00:35:17,520 Speaker 4: The artwork was made by Master of Fine Art student 677 00:35:17,640 --> 00:35:22,320 Speaker 4: Nick Dwyer in collaboration with artificial intelligence. Granger claimed he 678 00:35:22,400 --> 00:35:26,520 Speaker 4: destroyed the artwork because it was AI generated and he's 679 00:35:26,800 --> 00:35:27,640 Speaker 4: against that. 680 00:35:27,840 --> 00:35:31,320 Speaker 1: Okay, So you can have the stance of being against 681 00:35:31,360 --> 00:35:32,839 Speaker 1: AI generated art. 682 00:35:33,239 --> 00:35:35,160 Speaker 2: Yes, you could even go so far. 683 00:35:35,000 --> 00:35:36,799 Speaker 1: As to feeling like you need to destroy it now, 684 00:35:36,800 --> 00:35:38,919 Speaker 1: why you need to eat it? I don't know why 685 00:35:38,960 --> 00:35:41,200 Speaker 1: you needed to take that next step. I think he's 686 00:35:41,239 --> 00:35:44,280 Speaker 1: a little art see himself. He was arrested for criminal 687 00:35:44,320 --> 00:35:48,719 Speaker 1: mischief in the fifth degree. It's another one of those. 688 00:35:48,800 --> 00:35:50,880 Speaker 1: Is it like burns they get worse as the number 689 00:35:50,880 --> 00:35:53,600 Speaker 1: gets higher, or is it like deaf con where the 690 00:35:53,640 --> 00:35:56,080 Speaker 1: one is the highest. I think it's slight. I think 691 00:35:56,080 --> 00:35:58,120 Speaker 1: this is like we barely care that he ate his 692 00:35:58,200 --> 00:36:00,399 Speaker 1: roommates art interesting enough. 693 00:36:00,440 --> 00:36:02,680 Speaker 4: One of the reasons Dwyer the artist made this art 694 00:36:02,760 --> 00:36:07,160 Speaker 4: is because he had fallen into AI psychosis, which we've 695 00:36:07,200 --> 00:36:09,440 Speaker 4: talked about. He went too far down the line with 696 00:36:09,600 --> 00:36:13,120 Speaker 4: chat bots, and so he was making art with AI 697 00:36:13,280 --> 00:36:16,360 Speaker 4: to illustrate how it can something something blah blahleh. 698 00:36:17,200 --> 00:36:18,680 Speaker 1: If you miss a segment of the show, get the 699 00:36:18,680 --> 00:36:20,480 Speaker 1: podcast Armstrong and Getty on demand. 700 00:36:20,520 --> 00:36:23,239 Speaker 9: We do lots of segments, lots of hours Armstrong and 701 00:36:23,320 --> 00:36:23,680 Speaker 9: Getty