1 00:00:02,200 --> 00:00:06,520 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,559 --> 00:00:11,200 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Ketty Armstrong and 3 00:00:11,320 --> 00:00:17,599 Speaker 1: Getty and now he Armstrong and Natty. 4 00:00:24,400 --> 00:00:27,400 Speaker 2: It was about six years ago today that I decided 5 00:00:28,000 --> 00:00:30,520 Speaker 2: I'm going to give up my businesses, sell them all, 6 00:00:31,280 --> 00:00:34,640 Speaker 2: run for office, run to the United States Senate. Here 7 00:00:34,680 --> 00:00:37,080 Speaker 2: I am sitting in front of you six years later, saying, 8 00:00:37,080 --> 00:00:39,159 Speaker 2: who the fuck do you think you were for doing that? 9 00:00:40,280 --> 00:00:43,800 Speaker 2: It is a total disgrace what you did to this country. 10 00:00:45,400 --> 00:00:49,519 Speaker 3: Well that's Senator Bernie Morino, Republican from Ohio, And the 11 00:00:50,400 --> 00:00:52,159 Speaker 3: must have been later in the day in the hearings 12 00:00:52,200 --> 00:00:54,480 Speaker 3: with doctor Fauci yesterday, I mean most of us turned 13 00:00:54,520 --> 00:00:56,279 Speaker 3: it off when we realized Fauci is going to give 14 00:00:56,280 --> 00:00:58,279 Speaker 3: the Fifth Amendment every answer. I think he did it 15 00:00:58,440 --> 00:01:02,240 Speaker 3: fifty six times or something like that, so didn't answer 16 00:01:02,240 --> 00:01:04,440 Speaker 3: any questions. And I think this story is basically over. 17 00:01:05,400 --> 00:01:11,600 Speaker 3: Nothing is ever going to happen to doctor Fauci, more importantly. 18 00:01:11,080 --> 00:01:16,880 Speaker 1: Because punishing him doesn't really help me that much. 19 00:01:17,640 --> 00:01:19,720 Speaker 3: More importantly, I'm not sure anything that's going to happen 20 00:01:19,760 --> 00:01:22,080 Speaker 3: that keeps us structurally from doing the same thing again, 21 00:01:22,120 --> 00:01:23,440 Speaker 3: if we have a pandemic in ten. 22 00:01:23,400 --> 00:01:27,720 Speaker 1: Years awareness, That's my only argument, raise people's awareness of 23 00:01:27,760 --> 00:01:30,760 Speaker 1: what happened, how it happened, and why it happened to 24 00:01:30,920 --> 00:01:34,679 Speaker 1: armist going forward. I would also argue that Fauci in 25 00:01:34,800 --> 00:01:41,479 Speaker 1: Company's liability, both literal and moral, is so enormous it's 26 00:01:41,520 --> 00:01:44,959 Speaker 1: worth making clear. You can't let people get away with 27 00:01:45,000 --> 00:01:46,360 Speaker 1: what he's getting away with now. 28 00:01:46,360 --> 00:01:48,600 Speaker 3: It didn't get a lot of coverage in mainstream press, 29 00:01:48,640 --> 00:01:51,480 Speaker 3: and then in left leaning press, the hearing yesterday was 30 00:01:51,480 --> 00:01:54,160 Speaker 3: looked at as a circus, a joke that the Republicans 31 00:01:54,200 --> 00:01:56,560 Speaker 3: would even do this. They clearly have some sort of 32 00:01:56,640 --> 00:01:59,200 Speaker 3: vendetta against this guy. They just hate him because he 33 00:01:59,680 --> 00:02:01,880 Speaker 3: didn't with trump et cetera, et cetera, and did not 34 00:02:01,920 --> 00:02:04,400 Speaker 3: take it seriously at all. I didn't see MSNBC at 35 00:02:04,400 --> 00:02:06,120 Speaker 3: any point. Maybe they did, but I didn't see it 36 00:02:06,360 --> 00:02:09,079 Speaker 3: ever even mentioned the diaries or read any of the entries, 37 00:02:09,080 --> 00:02:12,880 Speaker 3: and then like, you know, address those specifically anyway. Free 38 00:02:12,919 --> 00:02:15,440 Speaker 3: Press today, Eli Lake, who I really like, pleading the 39 00:02:15,440 --> 00:02:18,800 Speaker 3: fifth won't spare Fauci from the truth. He claims his 40 00:02:19,200 --> 00:02:21,520 Speaker 3: Senate hearing was a witch hunt designed to entrap him 41 00:02:21,520 --> 00:02:23,920 Speaker 3: but his record convicts him on its own. But this 42 00:02:24,000 --> 00:02:26,000 Speaker 3: is the part I really liked from the same senator 43 00:02:26,040 --> 00:02:30,040 Speaker 3: we just heard from. Benny Marino requested those in the 44 00:02:30,080 --> 00:02:34,280 Speaker 3: audience yesterday to stand up if they had paid a professional, legal, 45 00:02:34,440 --> 00:02:38,440 Speaker 3: or personal price for dissenting from COVID Orthodoxies during the pandemic. 46 00:02:39,000 --> 00:02:41,359 Speaker 3: The senator then asked Fauci to turn around and look 47 00:02:41,360 --> 00:02:44,200 Speaker 3: at them. Fauci refused, who I. 48 00:02:44,120 --> 00:02:45,960 Speaker 1: Don't generally think you were for doing that. 49 00:02:46,240 --> 00:02:49,160 Speaker 3: I don't generally like any of these stunts. Where would 50 00:02:49,200 --> 00:02:51,840 Speaker 3: you turn around, mister Zuckerberg and look at the mom 51 00:02:51,880 --> 00:02:53,240 Speaker 3: whose son blah blah blah. 52 00:02:53,320 --> 00:02:56,720 Speaker 1: I just can't apologize. Yes, I don't like those, but. 53 00:02:57,240 --> 00:03:00,639 Speaker 3: The number of people who either paid a professional, legal 54 00:03:00,720 --> 00:03:04,840 Speaker 3: or personal price for dissenting from the Orthodoxy's god, who didn't. 55 00:03:05,080 --> 00:03:06,799 Speaker 1: Well, maybe if you're on the left you didn't, But. 56 00:03:10,000 --> 00:03:13,280 Speaker 3: Oh my god, I remember the most ridiculous one of all, 57 00:03:13,320 --> 00:03:15,880 Speaker 3: the only one I flat out refused to engage in. 58 00:03:15,919 --> 00:03:17,360 Speaker 1: It was toward the end of the pandemic. I was 59 00:03:17,360 --> 00:03:19,480 Speaker 1: at the Oakland Zoo. Gladys there, I was with my 60 00:03:19,560 --> 00:03:20,720 Speaker 1: kids at the Oakland Zoo. 61 00:03:23,080 --> 00:03:25,080 Speaker 3: Where they didn't make us wear a mask. At that 62 00:03:25,200 --> 00:03:28,880 Speaker 3: point walking around the zoo. But if you went into 63 00:03:28,960 --> 00:03:31,680 Speaker 3: any of the places to eat, which are like open 64 00:03:31,720 --> 00:03:34,040 Speaker 3: air anyway, you had to put your mask on. 65 00:03:34,920 --> 00:03:35,880 Speaker 1: Perfectly reasonable. 66 00:03:36,120 --> 00:03:39,360 Speaker 3: And I walked up to order at this outdoor cafe thing, 67 00:03:39,400 --> 00:03:41,160 Speaker 3: and shit said, you have to have a mask on 68 00:03:41,200 --> 00:03:43,800 Speaker 3: to order, And I said, but then I can take 69 00:03:43,840 --> 00:03:46,520 Speaker 3: it off to sit over there, which was like literally 70 00:03:46,560 --> 00:03:47,360 Speaker 3: ten feet away. 71 00:03:47,520 --> 00:03:50,520 Speaker 1: Yes, I said, that is ridiculous. 72 00:03:50,920 --> 00:03:55,000 Speaker 3: That is too ridiculous to even contemplate the fact that 73 00:03:55,040 --> 00:03:56,560 Speaker 3: I have to have my mask on right here to 74 00:03:56,600 --> 00:03:58,680 Speaker 3: talk to you, and then if I walk right over here, 75 00:03:58,880 --> 00:04:01,760 Speaker 3: I can take it off. I can't possibly deal with this. 76 00:04:02,360 --> 00:04:03,960 Speaker 3: I said, are you going to take my order or not? 77 00:04:04,080 --> 00:04:06,800 Speaker 3: And she took my order, but I just couldn't. That 78 00:04:06,880 --> 00:04:10,040 Speaker 3: was the last straw. It's just like this is too much, whole, 79 00:04:10,720 --> 00:04:16,560 Speaker 3: the whole You know, the virus doesn't travel through the restaurant. 80 00:04:16,640 --> 00:04:17,080 Speaker 1: It doesn't. 81 00:04:17,240 --> 00:04:19,400 Speaker 3: It's only it's over here, but not over there. That 82 00:04:19,480 --> 00:04:20,880 Speaker 3: whole thing that was so nuts. 83 00:04:21,200 --> 00:04:24,560 Speaker 1: It wouldn't dare to come over here. The COVID thing 84 00:04:24,680 --> 00:04:30,839 Speaker 1: was not a carefully designed, massive experiment to determine how 85 00:04:30,880 --> 00:04:33,880 Speaker 1: to take Americans' freedoms away and how find out how 86 00:04:33,920 --> 00:04:36,960 Speaker 1: compliant they would be. But if it were, it was 87 00:04:37,000 --> 00:04:39,039 Speaker 1: a good one. This is a very good one. I 88 00:04:39,040 --> 00:04:41,520 Speaker 1: don't think I paid a professional, legal, or personal price 89 00:04:41,600 --> 00:04:45,360 Speaker 1: for dissenting from COVID orthodoxies. We might have lost some listeners, 90 00:04:46,960 --> 00:04:50,280 Speaker 1: I suppose, because we were pretty forceful in opposing a 91 00:04:50,279 --> 00:04:51,440 Speaker 1: lot of the stupid stuff. 92 00:04:51,800 --> 00:04:53,839 Speaker 3: I paid a little of a personal price. There was 93 00:04:53,880 --> 00:04:55,960 Speaker 3: a was a woman in my life at the time 94 00:04:56,040 --> 00:05:02,200 Speaker 3: who was very judgmental, angry, disappointed that I had taken 95 00:05:02,200 --> 00:05:05,240 Speaker 3: my kids out about during COVID spreading the disease and 96 00:05:05,360 --> 00:05:06,159 Speaker 3: killing old people. 97 00:05:07,040 --> 00:05:11,280 Speaker 1: Oh my god. Meanwhile, what was it as the crow 98 00:05:11,279 --> 00:05:15,360 Speaker 1: flies forty miles away where I was living at the time, 99 00:05:16,200 --> 00:05:19,880 Speaker 1: we were practically ignoring all of the guidelines, all of them. 100 00:05:20,240 --> 00:05:22,560 Speaker 3: Well, my kid's school was shut down, and I moved 101 00:05:22,640 --> 00:05:26,159 Speaker 3: him to a different school seven miles away, seven right 102 00:05:26,240 --> 00:05:28,479 Speaker 3: where they were open and there were not stacks of 103 00:05:28,480 --> 00:05:35,520 Speaker 3: dead bodies. Everything was fine. So this Marino. Senator Bernie Marino, Republican, Ohio, 104 00:05:35,520 --> 00:05:37,600 Speaker 3: told the story of a family in his state in 105 00:05:37,640 --> 00:05:40,080 Speaker 3: Ohio who attended a high school football game in the 106 00:05:40,080 --> 00:05:42,400 Speaker 3: middle of the lockdowns. They went to the stadium, they 107 00:05:42,400 --> 00:05:44,800 Speaker 3: sat alone far from anyone else. They didn't feel the 108 00:05:45,160 --> 00:05:47,120 Speaker 3: need to wear masks because it was stupid, and they 109 00:05:47,120 --> 00:05:50,279 Speaker 3: were outside quoting him. Now, doctor Fauci, do you know 110 00:05:50,320 --> 00:05:53,520 Speaker 3: what happened to that family? Fauci responded with his fifth 111 00:05:53,520 --> 00:05:57,960 Speaker 3: Amendment thing on the advice of a council, I respectfully 112 00:05:58,000 --> 00:06:01,200 Speaker 3: declined to answer. Marino went in on to say they 113 00:06:01,240 --> 00:06:04,480 Speaker 3: were dragged out of the stadium and arrested the entire family. 114 00:06:05,360 --> 00:06:07,680 Speaker 3: These policies were put in place because you had moronic 115 00:06:07,720 --> 00:06:10,680 Speaker 3: politicians that listened to the words of a meglomaniac who 116 00:06:10,760 --> 00:06:13,080 Speaker 3: is more interested in having met a Kardashian than the 117 00:06:13,120 --> 00:06:14,480 Speaker 3: suffering of the American people. 118 00:06:15,480 --> 00:06:23,719 Speaker 1: Prout. She sat there, stone faced. Rights Elilac the windsurfer 119 00:06:24,000 --> 00:06:31,080 Speaker 1: arrested in Santa Monica, wasn't it la ought to ought 120 00:06:31,080 --> 00:06:33,279 Speaker 1: to run on a loop like you everywhere? That ought 121 00:06:33,279 --> 00:06:39,279 Speaker 1: to be a poster on people's walls. Don't get fooled again. 122 00:06:39,560 --> 00:06:42,880 Speaker 1: Don't give up your freedom again, just as an emblem 123 00:06:43,040 --> 00:06:48,000 Speaker 1: of the idiocy, the utter lack of scientific basis of 124 00:06:48,080 --> 00:06:51,839 Speaker 1: so many of the impositions on your freedom, and then 125 00:06:51,960 --> 00:06:56,360 Speaker 1: the silencing of dissent, ugh never set yet. 126 00:06:56,520 --> 00:06:58,680 Speaker 3: I don't remember how long the school stayed shut down 127 00:06:58,680 --> 00:07:01,239 Speaker 3: here because I got my was out of that school, 128 00:07:01,240 --> 00:07:03,200 Speaker 3: and then my youngest was doing homeschool at that time. 129 00:07:03,240 --> 00:07:07,760 Speaker 3: And I don't think they got back to normal everybody 130 00:07:07,839 --> 00:07:10,679 Speaker 3: in school for like three years. I mean they did. 131 00:07:11,240 --> 00:07:15,720 Speaker 3: They did the zoom for a really long time, which 132 00:07:15,840 --> 00:07:21,040 Speaker 3: was worthless zero worth. Then they brought back some kids 133 00:07:21,160 --> 00:07:24,440 Speaker 3: in class, but also on zoom, which also made it 134 00:07:24,480 --> 00:07:27,160 Speaker 3: incredibly hard. Teachers have told me to teach because you 135 00:07:27,240 --> 00:07:29,280 Speaker 3: got kids watching on the screen and kids in the room, 136 00:07:29,280 --> 00:07:32,480 Speaker 3: and to try to accommodate both was just almost impossible. 137 00:07:32,520 --> 00:07:35,600 Speaker 1: But I think it was three years, and I just 138 00:07:35,600 --> 00:07:39,480 Speaker 1: happened to read that in San Francisco the percentages of 139 00:07:39,600 --> 00:07:43,600 Speaker 1: young people who have roommates is significantly lower than it's 140 00:07:43,640 --> 00:07:47,080 Speaker 1: always been because they got so used to being alone 141 00:07:47,160 --> 00:07:50,880 Speaker 1: during COVID and other people make them uncomfortable and just 142 00:07:50,920 --> 00:07:53,120 Speaker 1: they'd rather be shut up in a little room alone, 143 00:07:53,160 --> 00:07:55,720 Speaker 1: staring at a screen. They're more comfortable with that in 144 00:07:55,720 --> 00:08:00,280 Speaker 1: a way that's never been true. So the effects of that, 145 00:08:00,800 --> 00:08:04,400 Speaker 1: You know, I was old, bitter libertarian and resistant to 146 00:08:04,680 --> 00:08:07,720 Speaker 1: stupid effing authority, and we. 147 00:08:07,560 --> 00:08:10,200 Speaker 3: Were insential employees, so we had our badges so we 148 00:08:10,240 --> 00:08:11,520 Speaker 3: could be out and about that's. 149 00:08:11,440 --> 00:08:16,360 Speaker 1: Right and strong leg bull. So I wasn't afraid, uh I. 150 00:08:17,320 --> 00:08:21,120 Speaker 1: And you know I didn't have My kids were older. 151 00:08:21,480 --> 00:08:24,040 Speaker 1: Come to think of it, Yeah, Delany was just in college. 152 00:08:25,800 --> 00:08:28,640 Speaker 1: I haven't realized, probably as much as you and people 153 00:08:28,680 --> 00:08:35,160 Speaker 1: like you have, the ongoing damage socially, psychologically, educationally it 154 00:08:35,280 --> 00:08:39,160 Speaker 1: did to kids. But it's monumental. It's monumental. I will 155 00:08:39,160 --> 00:08:43,040 Speaker 1: not forget and let this go because you know, whoever 156 00:08:43,080 --> 00:08:45,600 Speaker 1: in the mainstream media says that this was a waste 157 00:08:45,600 --> 00:08:49,160 Speaker 1: of time or whatever, lying effing Democratic senator says the same, 158 00:08:49,520 --> 00:08:50,200 Speaker 1: not a chance. 159 00:08:50,400 --> 00:08:52,360 Speaker 3: I think one of my nieces missed her senior year 160 00:08:52,360 --> 00:08:54,559 Speaker 3: of high school, which for some people it's devastating. I 161 00:08:54,559 --> 00:08:56,400 Speaker 3: would have loved to have missed my senior year of 162 00:08:56,440 --> 00:08:58,040 Speaker 3: high school, but most people would not. 163 00:08:58,480 --> 00:08:59,640 Speaker 1: It was like horrifying. 164 00:08:59,800 --> 00:09:03,360 Speaker 3: And then I have friends whose kids missed kindergarten, didn't 165 00:09:03,400 --> 00:09:06,800 Speaker 3: have the experience of transitioning into school with kindergarten, kindergarten, 166 00:09:06,880 --> 00:09:09,240 Speaker 3: first grade. They just didn't have it. Crazy for no 167 00:09:09,320 --> 00:09:14,920 Speaker 3: reason whatsoever. All right, I'll stop talking about it. Yeah, yeah, yep, God, 168 00:09:14,920 --> 00:09:15,559 Speaker 3: that's maddening. 169 00:09:16,120 --> 00:09:20,600 Speaker 1: That is maddening. I find myself wanting to talk more 170 00:09:20,640 --> 00:09:23,920 Speaker 1: about the stupid, stupid ranking of all fifty states. 171 00:09:24,280 --> 00:09:24,839 Speaker 4: Why. 172 00:09:25,640 --> 00:09:27,199 Speaker 1: It's just the more I think about it, the more 173 00:09:27,320 --> 00:09:28,320 Speaker 1: ridiculous it is. 174 00:09:29,559 --> 00:09:33,760 Speaker 3: To any of those lists schools, states, health, the city's 175 00:09:34,400 --> 00:09:37,360 Speaker 3: just whatever you're making a list of, it's always stupid. 176 00:09:37,559 --> 00:09:38,560 Speaker 1: It looks to me that they. 177 00:09:38,480 --> 00:09:41,360 Speaker 3: Haven't a conclusion, and then they come with criteria to 178 00:09:41,559 --> 00:09:42,640 Speaker 3: justify their list. 179 00:09:43,120 --> 00:09:46,560 Speaker 1: Seattle, well, yeah, there may be an element of that 180 00:09:46,600 --> 00:09:52,240 Speaker 1: in there. It's it's really quite thorough. To determine the rankings, 181 00:09:52,320 --> 00:09:58,360 Speaker 1: US News analyzed seventy one metrics across eight categories points 182 00:09:58,400 --> 00:10:03,520 Speaker 1: system they describe. In a addition, over seven years, US 183 00:10:03,640 --> 00:10:06,920 Speaker 1: News surveyed more than fifty six thousand people across the 184 00:10:07,000 --> 00:10:11,280 Speaker 1: United States about their satisfaction with their state's performance in 185 00:10:11,360 --> 00:10:15,600 Speaker 1: all these categories, which is a pretty thorough analysis of 186 00:10:15,640 --> 00:10:20,960 Speaker 1: how the states are doing. Except people lie about this. Well, yeah, but. 187 00:10:20,920 --> 00:10:23,280 Speaker 3: I've moved all over the country. I know this to 188 00:10:23,320 --> 00:10:24,880 Speaker 3: be a fact in a way that you don't know 189 00:10:24,920 --> 00:10:28,720 Speaker 3: if you haven't moved. Everybody likes where they're from, and 190 00:10:28,760 --> 00:10:32,160 Speaker 3: they refuse to say, or refuse to admit to themselves 191 00:10:32,440 --> 00:10:35,199 Speaker 3: that they like where they're from because it's where they're from. 192 00:10:35,559 --> 00:10:40,920 Speaker 3: They make an argument about the weather or location. 193 00:10:40,720 --> 00:10:44,600 Speaker 1: Or something, but everybody does it everywhere, so they can't 194 00:10:44,640 --> 00:10:47,360 Speaker 1: all be It's just a coincidence that you happen to 195 00:10:47,360 --> 00:10:49,640 Speaker 1: grow up and all your friends and family are where 196 00:10:49,720 --> 00:10:52,439 Speaker 1: you think has the best. You've made up the criteria 197 00:10:52,480 --> 00:10:54,920 Speaker 1: in your head. Some people don't even admit to themselves 198 00:10:55,559 --> 00:10:59,319 Speaker 1: there's nothing wrong with liking where you live because that's 199 00:10:59,320 --> 00:11:01,240 Speaker 1: where you're from. I don't know why people don't want 200 00:11:01,280 --> 00:11:03,640 Speaker 1: to ever say that out loud, So that is a 201 00:11:03,720 --> 00:11:07,079 Speaker 1: fair criticism. Indeed, I would add this, at the end 202 00:11:07,120 --> 00:11:11,120 Speaker 1: of all of that really rigorous research and the careful methodology, 203 00:11:11,480 --> 00:11:16,360 Speaker 1: you end up with something that is completely useless, except 204 00:11:16,360 --> 00:11:19,319 Speaker 1: as perhaps some sort of snapshot of how your state 205 00:11:19,400 --> 00:11:22,839 Speaker 1: is doing if you're a politician or something. But as 206 00:11:22,840 --> 00:11:26,480 Speaker 1: an individual, I'm looking at some of the criteria and 207 00:11:26,920 --> 00:11:32,679 Speaker 1: like in healthcare, some of it's okay, But child wellness 208 00:11:32,760 --> 00:11:36,320 Speaker 1: and dental visits, what does that have to do with me? 209 00:11:36,960 --> 00:11:42,000 Speaker 1: If my state ranks dead effing last in child dental visits, 210 00:11:42,320 --> 00:11:44,800 Speaker 1: now I'm gonna have some crooked, rotten tooth kids running 211 00:11:44,840 --> 00:11:47,280 Speaker 1: around me, and I'm not gonna enjoy that, but that 212 00:11:47,360 --> 00:11:50,640 Speaker 1: has nothing to do with my life. How about low 213 00:11:50,679 --> 00:11:55,320 Speaker 1: obesity and smoking rates? The hell do I care? I 214 00:11:55,360 --> 00:12:00,800 Speaker 1: don't smoke. I'm working on my weight. And they go, like, 215 00:12:01,360 --> 00:12:07,559 Speaker 1: you know of the opportunity, housing affordability, Well, that one matters, education, 216 00:12:07,960 --> 00:12:13,280 Speaker 1: income dispersion, whatever that means. I know what my income 217 00:12:13,400 --> 00:12:16,959 Speaker 1: is and it's fine. Good luck to y'all. And then 218 00:12:17,120 --> 00:12:20,440 Speaker 1: the final nail in the coffin of this stupidity, as 219 00:12:20,480 --> 00:12:25,840 Speaker 1: we were just discussing Jack and I living thirty, maybe 220 00:12:25,960 --> 00:12:31,720 Speaker 1: forty miles apart, maybe completely different realities, very different towns, 221 00:12:31,800 --> 00:12:35,640 Speaker 1: very different counties, very different DENK graphics, very different reactions 222 00:12:35,640 --> 00:12:38,440 Speaker 1: to COVID the rest of it. So thanks for wasting 223 00:12:38,520 --> 00:12:41,800 Speaker 1: my time. I was making a point to my kids yesterday. 224 00:12:41,800 --> 00:12:44,320 Speaker 3: We were in Turlock, California, which most of you across 225 00:12:44,360 --> 00:12:46,000 Speaker 3: the country have never heard of, and lots of people 226 00:12:46,040 --> 00:12:48,920 Speaker 3: in California have barely ever even heard of it. Seventy 227 00:12:48,960 --> 00:12:53,080 Speaker 3: thousand people in Turlot, California. Really cool downtown. But I 228 00:12:53,080 --> 00:12:57,720 Speaker 3: was explaining to my kids, I said, every town in 229 00:12:57,760 --> 00:13:00,800 Speaker 3: the country that I've ever been to, you got a 230 00:13:00,920 --> 00:13:04,520 Speaker 3: nice area town with nice houses and people doing well 231 00:13:04,559 --> 00:13:07,760 Speaker 3: and people are perfectly happy, But people from other parts 232 00:13:07,760 --> 00:13:11,000 Speaker 3: of the state or country or whatever mock it and 233 00:13:11,040 --> 00:13:14,439 Speaker 3: think it would be hellish to live there. But there's 234 00:13:14,480 --> 00:13:17,280 Speaker 3: people that that are perfectly happy living almost exactly the 235 00:13:17,280 --> 00:13:19,480 Speaker 3: same life you're living wherever you are that you think 236 00:13:19,559 --> 00:13:20,000 Speaker 3: is okay. 237 00:13:20,840 --> 00:13:25,680 Speaker 1: Beautiful. Stockton, California frequently cited as America's most miserable city. 238 00:13:26,400 --> 00:13:30,760 Speaker 1: They have challenges and problems in Stockton, no doubt, but 239 00:13:30,800 --> 00:13:33,640 Speaker 1: there are also lovely areas where you would have a 240 00:13:33,640 --> 00:13:36,679 Speaker 1: good life. So yeah, the whole thing's completely ridiculous. One 241 00:13:36,760 --> 00:13:40,000 Speaker 1: final note under Crime and Corrections. One of the criteria 242 00:13:40,040 --> 00:13:44,280 Speaker 1: they used. One of the standards they use was jailing equality, 243 00:13:44,400 --> 00:13:47,520 Speaker 1: and I think about that all. I'm not moving any 244 00:13:47,600 --> 00:13:51,600 Speaker 1: damn state with jailing inequality. You had some AI stuff 245 00:13:51,600 --> 00:13:51,880 Speaker 1: for us. 246 00:13:51,880 --> 00:13:54,200 Speaker 3: I'm always up for AI stuff and other things on 247 00:13:54,240 --> 00:14:00,120 Speaker 3: the way. 248 00:14:02,240 --> 00:14:06,000 Speaker 4: This is a thirteen point one ounce order going to Colorado. 249 00:14:06,280 --> 00:14:08,760 Speaker 4: It costs seven dollars. 250 00:14:08,520 --> 00:14:09,959 Speaker 1: And sixty cents to ship. 251 00:14:10,440 --> 00:14:15,439 Speaker 4: Now let's add some rocks to the order two pounds. 252 00:14:15,720 --> 00:14:19,119 Speaker 4: Let me update my weight over here. It now costs 253 00:14:19,400 --> 00:14:22,320 Speaker 4: five ninety seven to ship. If you get any free 254 00:14:22,520 --> 00:14:25,280 Speaker 4: rocks with your order from Magrit razors. 255 00:14:25,800 --> 00:14:26,560 Speaker 1: That's the reason. 256 00:14:27,880 --> 00:14:31,360 Speaker 3: So for some quirk of the way they price shipping, 257 00:14:32,480 --> 00:14:35,640 Speaker 3: it's cheaper to ship something that weighs a little bit more. 258 00:14:37,120 --> 00:14:40,560 Speaker 1: Yeah. The deal is is that if something's under two pounds, 259 00:14:40,600 --> 00:14:43,120 Speaker 1: it can be it has to be manually processed. They 260 00:14:43,160 --> 00:14:46,080 Speaker 1: got to use labor, so they can use a machine 261 00:14:46,160 --> 00:14:48,240 Speaker 1: between two to five pounds. That's going to be a 262 00:14:48,360 --> 00:14:52,840 Speaker 1: union thing. Yeah, it's the postal service. The practicality of 263 00:14:52,840 --> 00:14:55,400 Speaker 1: something that light. It doesn't sit where it's supposed to 264 00:14:55,480 --> 00:14:58,640 Speaker 1: sit as it moves and gets manually dealt with anyway. 265 00:14:58,640 --> 00:15:01,320 Speaker 3: That would explain lots of package I've gotten that. Like, 266 00:15:02,760 --> 00:15:06,200 Speaker 3: I wonder if that's part of the whole Amazon why 267 00:15:06,240 --> 00:15:08,560 Speaker 3: sometimes the box is so much bigger and there's all 268 00:15:08,560 --> 00:15:09,520 Speaker 3: this crap in it. 269 00:15:09,800 --> 00:15:12,400 Speaker 1: Are they just trying to get a certain weight going, Yeah, 270 00:15:12,480 --> 00:15:14,880 Speaker 1: I'll bet it is. Michael, I can't find that article 271 00:15:14,920 --> 00:15:16,720 Speaker 1: you sent me. I'll find it real quick. I'd like 272 00:15:16,760 --> 00:15:18,960 Speaker 1: to know more about that, because that actually makes sense. 273 00:15:19,400 --> 00:15:23,680 Speaker 1: I know, light individual packages lose money for the big shippers. 274 00:15:23,760 --> 00:15:26,080 Speaker 1: They they're a pain in the ass. That's why they 275 00:15:26,120 --> 00:15:31,720 Speaker 1: farm out who delivers them. Sometimes they're uh. 276 00:15:31,880 --> 00:15:34,960 Speaker 3: I like Rando obvious drug addicts coming to my house 277 00:15:34,960 --> 00:15:37,400 Speaker 3: delivering things from certain giant corporations. 278 00:15:38,600 --> 00:15:41,640 Speaker 1: I think we all do. Oh yeah. Packages in the 279 00:15:41,640 --> 00:15:43,400 Speaker 1: two to five pound range are heavy enough that they 280 00:15:43,400 --> 00:15:46,040 Speaker 1: can go through automated sorting machines and not get stuck. 281 00:15:46,400 --> 00:15:48,360 Speaker 1: Packages that are less than a pound are often so 282 00:15:48,520 --> 00:15:50,360 Speaker 1: lightweight that they can bounce out of where the machine 283 00:15:50,400 --> 00:15:52,920 Speaker 1: would sort them, as I guessed, and it would require 284 00:15:52,960 --> 00:15:57,680 Speaker 1: manual handsorting. Yeah, I wondered. I got a package from 285 00:15:58,080 --> 00:16:02,640 Speaker 1: a music and technical equipment company that's pretty famous, but 286 00:16:02,680 --> 00:16:08,360 Speaker 1: they always put like candy in the shipment. That's the 287 00:16:08,440 --> 00:16:11,840 Speaker 1: name of the business is Sweetwater. But this time they 288 00:16:11,840 --> 00:16:15,840 Speaker 1: sent me like three bags of candy with a very 289 00:16:15,920 --> 00:16:17,760 Speaker 1: light piece of equipment. I wonder if that was why 290 00:16:17,800 --> 00:16:21,920 Speaker 1: it was coming up. A bit of a digest of 291 00:16:22,000 --> 00:16:24,320 Speaker 1: AI stories will zoom through them quickly, but kind of 292 00:16:24,360 --> 00:16:28,760 Speaker 1: keep you up to date where the wildly swinging AI 293 00:16:28,960 --> 00:16:32,640 Speaker 1: industry and markets are. And also, at some point we've 294 00:16:32,680 --> 00:16:35,880 Speaker 1: got to get to the transgender dolls that are being 295 00:16:35,920 --> 00:16:39,000 Speaker 1: made available to Minnesota, Minnesota school children as young as 296 00:16:39,040 --> 00:16:43,800 Speaker 1: four with their detachable genitals. What these people are so 297 00:16:44,240 --> 00:16:51,040 Speaker 1: obsessed with pushing the trans thing to little kids. 298 00:16:50,560 --> 00:16:52,760 Speaker 3: So it's like a mister potato head, but instead of 299 00:16:52,760 --> 00:16:56,400 Speaker 3: a pair of glasses, it's a penis, et cetera. 300 00:16:57,120 --> 00:17:01,280 Speaker 1: Yes, yeah, and the people pushing at the quotes about 301 00:17:01,520 --> 00:17:04,000 Speaker 1: how this is so important to help children realize all 302 00:17:04,040 --> 00:17:06,480 Speaker 1: the different options that exist for who they can be, 303 00:17:06,880 --> 00:17:10,320 Speaker 1: regardless of their body parts. How is that still alive? 304 00:17:10,520 --> 00:17:13,679 Speaker 1: Somewhere in the country, people are sick in your groomers, 305 00:17:14,000 --> 00:17:17,400 Speaker 1: stay away from the children. Wow, Okay, that's on the way. 306 00:17:17,440 --> 00:17:20,359 Speaker 1: Stay here if you miss it, get the podcast Armstrong 307 00:17:20,480 --> 00:17:23,679 Speaker 1: and Getty. So I just got a text from our 308 00:17:23,720 --> 00:17:24,400 Speaker 1: agent Eric. 309 00:17:25,480 --> 00:17:29,199 Speaker 3: He does a lot of longevity reading and listen to 310 00:17:29,240 --> 00:17:31,440 Speaker 3: podcasts and stuff about that. He's obsessed with that sort 311 00:17:31,480 --> 00:17:34,320 Speaker 3: of thing. But he heard you mentioned in earlier about 312 00:17:34,320 --> 00:17:37,440 Speaker 3: the whole shingles vaccine. They think not only keeps you 313 00:17:37,480 --> 00:17:41,040 Speaker 3: from getting shingles, but his words off a number of 314 00:17:41,040 --> 00:17:42,639 Speaker 3: other things that can happen to you. 315 00:17:42,640 --> 00:17:45,119 Speaker 1: When you're older. So, huh, I guess I better get 316 00:17:45,119 --> 00:17:50,960 Speaker 1: the shingles vaccine. And it was he commenting on that specifically. Yeah, Okay, well, okay, ah, 317 00:17:51,280 --> 00:17:55,800 Speaker 1: so detachable genitals coming up, stay with us. I just 318 00:17:55,840 --> 00:17:57,479 Speaker 1: want to hit a handful of us. 319 00:17:57,600 --> 00:18:00,639 Speaker 3: It's like a mister potato head, but the nose is 320 00:18:00,680 --> 00:18:02,640 Speaker 3: of a jj oh boy. 321 00:18:02,880 --> 00:18:05,840 Speaker 1: Essentially, yes, but it's for little children, so they know 322 00:18:05,960 --> 00:18:08,679 Speaker 1: that they can change their sex if they want to. 323 00:18:08,920 --> 00:18:13,760 Speaker 1: What little children? You people are sick? Who the do 324 00:18:13,840 --> 00:18:17,520 Speaker 1: you think you were for doing that? That's a reasonable question. Center. 325 00:18:18,160 --> 00:18:21,120 Speaker 1: So I'm gonna read through a bunch of different headlines, 326 00:18:21,119 --> 00:18:23,960 Speaker 1: maybe the lead sentence or two, and Jack feel free. 327 00:18:24,640 --> 00:18:26,080 Speaker 1: You know, I just want to give people a kind 328 00:18:26,080 --> 00:18:29,480 Speaker 1: of a sketch of where we are on the AI thing, 329 00:18:29,960 --> 00:18:32,040 Speaker 1: and not the will it murder us all in our 330 00:18:32,119 --> 00:18:35,480 Speaker 1: beds and make us unemployable part of it, but more 331 00:18:35,560 --> 00:18:40,840 Speaker 1: the business part of it. Corporate America has suddenly decided 332 00:18:40,880 --> 00:18:44,280 Speaker 1: to stop blowing money on AI. Companies big and smaller 333 00:18:44,440 --> 00:18:47,280 Speaker 1: mixing models and it's changing the economics and the power 334 00:18:47,320 --> 00:18:51,359 Speaker 1: players of the industry. Companies are realizing they don't have 335 00:18:51,400 --> 00:18:55,080 Speaker 1: to blow their budgets on AI systems. Fed up with 336 00:18:55,119 --> 00:18:57,680 Speaker 1: ballooning costs, companies big and smaller starting to use lower 337 00:18:57,720 --> 00:19:00,840 Speaker 1: price models, including some built in China. In many cases, 338 00:19:00,840 --> 00:19:04,440 Speaker 1: they're adding the newer, cheaper models alongside open AI and 339 00:19:04,480 --> 00:19:08,399 Speaker 1: anthropic products, shopping a la carte for their artificial intelligence 340 00:19:09,240 --> 00:19:14,119 Speaker 1: because you buying the tokens, the amounts of computing for 341 00:19:14,160 --> 00:19:17,920 Speaker 1: some of this AI stuff can get pretty uh, pretty expensive. 342 00:19:18,840 --> 00:19:24,399 Speaker 3: I find myself asking what kind of AI s I dy? 343 00:19:28,560 --> 00:19:31,040 Speaker 1: Yeah, that's the f type of I want to get 344 00:19:31,040 --> 00:19:33,159 Speaker 1: it exactly right between and the other. Cliff, that's a 345 00:19:33,160 --> 00:19:36,840 Speaker 1: lot of salty language. We need to down. Yeah, Michael, 346 00:19:36,880 --> 00:19:40,920 Speaker 1: I blame you. We should tone it down. Yeah. Yeah, 347 00:19:40,960 --> 00:19:43,320 Speaker 1: So that's one thing. And I mean, my gosh, the 348 00:19:43,359 --> 00:19:45,400 Speaker 1: industry is not very old at all, and already there's 349 00:19:45,440 --> 00:19:50,000 Speaker 1: big upheaval. How about this. Meta stumbles as tech investors 350 00:19:50,040 --> 00:19:54,560 Speaker 1: demand better answers on AI spending, Meta shares fell and 351 00:19:54,600 --> 00:19:57,560 Speaker 1: Microsoft rallied after sending very different signals on how they're 352 00:19:57,600 --> 00:20:01,359 Speaker 1: monetizing their massive AI outlays. The long and short for 353 00:20:01,520 --> 00:20:05,439 Speaker 1: Meta is that they're spending tremendous amounts of money on 354 00:20:05,520 --> 00:20:15,439 Speaker 1: AI investment development, but to do they're not making developing 355 00:20:15,480 --> 00:20:23,119 Speaker 1: their AI systems. But in a recent earnings call, Zuckerberg 356 00:20:23,160 --> 00:20:25,520 Speaker 1: offered no new details on how the company plans to 357 00:20:25,560 --> 00:20:29,639 Speaker 1: make money selling enterprise AI tools or computing capacity, and 358 00:20:29,800 --> 00:20:33,800 Speaker 1: also they mentioned that Meta's never made any money on 359 00:20:33,920 --> 00:20:39,720 Speaker 1: anything other than essentially selling ads on Facebook and Instagram. 360 00:20:39,760 --> 00:20:41,640 Speaker 1: They're a tech company. They got a lot of really 361 00:20:41,680 --> 00:20:45,520 Speaker 1: really smart people, but they're branching out into something very 362 00:20:45,560 --> 00:20:48,160 Speaker 1: different from their core business, and they have no track 363 00:20:48,200 --> 00:20:49,640 Speaker 1: record of being effective in it. 364 00:20:49,800 --> 00:20:54,080 Speaker 3: Essentially, I to me, AI is the chatbots. That's the 365 00:20:54,119 --> 00:20:58,960 Speaker 3: only AI I have ever used, So wake up, Well, 366 00:20:59,040 --> 00:21:01,640 Speaker 3: I just I don't have any reason to use any 367 00:21:01,680 --> 00:21:02,720 Speaker 3: of the other AI. 368 00:21:02,640 --> 00:21:06,159 Speaker 1: So well, I don't have any reason to use a 369 00:21:06,200 --> 00:21:09,720 Speaker 1: patriot missile. But I try to understand them. I don't 370 00:21:09,760 --> 00:21:11,680 Speaker 1: know why I'm shaming him. I don't even know his point, 371 00:21:11,840 --> 00:21:15,720 Speaker 1: but I'm surprised that the AI chatbots are still ad free. 372 00:21:16,119 --> 00:21:19,000 Speaker 1: I thought that they would be inundated with ads by now. 373 00:21:19,960 --> 00:21:21,840 Speaker 1: I think they're betting in the future, trying to get 374 00:21:21,840 --> 00:21:24,760 Speaker 1: loyal users. It's a loss leader, as they say. 375 00:21:26,040 --> 00:21:28,320 Speaker 3: Some we mentioned the other day one of my favorite 376 00:21:28,320 --> 00:21:31,880 Speaker 3: influencers mentioned that Google is worthless now, and I thought, 377 00:21:32,200 --> 00:21:34,240 Speaker 3: who's still using Google ever? 378 00:21:34,840 --> 00:21:38,800 Speaker 1: For anything? What is this? The olden days? Meta is 379 00:21:38,840 --> 00:21:41,720 Speaker 1: fighting a mountain of social media lawsuits at just the 380 00:21:41,760 --> 00:21:44,000 Speaker 1: wrong time in the METS, in the midst of an 381 00:21:44,000 --> 00:21:48,159 Speaker 1: expensive AI transformation, the company is grappling with litigation that 382 00:21:48,200 --> 00:21:52,600 Speaker 1: could cost it billions and force painful changes. They are 383 00:21:52,640 --> 00:22:00,199 Speaker 1: looking at a mountain of lawsuits over a variety of things, 384 00:22:00,200 --> 00:22:07,040 Speaker 1: mostly safety related, teenage suicides, and all sorts of different 385 00:22:07,080 --> 00:22:11,320 Speaker 1: examples of social media making people miserable. That is a 386 00:22:11,480 --> 00:22:15,320 Speaker 1: very very short summary of the things that they're looking at, 387 00:22:15,359 --> 00:22:22,360 Speaker 1: but evidently it's a huge, huge deal. Thousands Okay. In March, 388 00:22:22,400 --> 00:22:25,240 Speaker 1: the company suffered defeats and landmark court cases in California 389 00:22:25,280 --> 00:22:27,720 Speaker 1: in New Mexico that we talked about that accused it 390 00:22:27,760 --> 00:22:30,000 Speaker 1: of giving priority to growth over the safety of its 391 00:22:30,080 --> 00:22:34,760 Speaker 1: underage users. Thousands more lawsuits by individuals, school districts, and 392 00:22:34,840 --> 00:22:37,879 Speaker 1: more than forty state attorneys general are pending in state 393 00:22:37,960 --> 00:22:41,280 Speaker 1: and federal courts. Could be billions of dollars in damages. 394 00:22:41,960 --> 00:22:46,520 Speaker 3: Moving along, I've been using going back to the only 395 00:22:46,560 --> 00:22:48,200 Speaker 3: thing I know about AI, I've been. 396 00:22:48,200 --> 00:22:54,760 Speaker 1: Using I think grock on reading a Hamlet, and what 397 00:22:54,840 --> 00:22:55,680 Speaker 1: I like about it. 398 00:22:56,040 --> 00:22:58,199 Speaker 3: Why it's so much better than like Google used to 399 00:22:58,200 --> 00:23:00,439 Speaker 3: be is you had to be pretty specific with your questions. 400 00:23:00,440 --> 00:23:02,640 Speaker 3: With your AI chatbots. You can be just like you're 401 00:23:02,640 --> 00:23:05,040 Speaker 3: talking to a buddy. It's like it's like I'm talking 402 00:23:05,040 --> 00:23:08,440 Speaker 3: to a college professor who taught Hamlet for decades say hey, 403 00:23:08,440 --> 00:23:10,439 Speaker 3: that scene where Hamlet's who are the two guys that 404 00:23:10,480 --> 00:23:12,800 Speaker 3: come in and say to Hamlet right after the king 405 00:23:12,920 --> 00:23:15,000 Speaker 3: leaves and he's talking about the play, who are those 406 00:23:15,000 --> 00:23:15,520 Speaker 3: two guys? 407 00:23:16,040 --> 00:23:18,479 Speaker 1: And it just tells me and explains what it is. 408 00:23:18,520 --> 00:23:21,840 Speaker 1: I mean, I love that about AI. Oh, I do too. 409 00:23:22,640 --> 00:23:24,720 Speaker 1: I do too. I hate it when I'm reading an 410 00:23:24,800 --> 00:23:27,680 Speaker 1: article or a book and then Ferguson came into the 411 00:23:27,760 --> 00:23:30,440 Speaker 1: room and I'm like, which one was Ferguson? Again, I'm 412 00:23:30,480 --> 00:23:33,119 Speaker 1: flipping through pages. But to google it, you would have 413 00:23:33,119 --> 00:23:35,000 Speaker 1: had to be so specific if you could even get 414 00:23:35,040 --> 00:23:38,600 Speaker 1: the answer at all in your question, And the chatbots 415 00:23:38,640 --> 00:23:41,680 Speaker 1: are so good at that sort of thing. Let's see 416 00:23:41,680 --> 00:23:44,439 Speaker 1: metas case for its AI spending keeps getting weaker. The 417 00:23:44,440 --> 00:23:47,600 Speaker 1: all out splurge is running into higher costs, borrowing constraints, 418 00:23:47,600 --> 00:23:51,159 Speaker 1: and investor pushback. It's kind of similar to the previous article. 419 00:23:51,280 --> 00:23:58,040 Speaker 1: Moving along Wall Street Journal writing, Mark Zuckerberg says US 420 00:23:58,080 --> 00:24:03,520 Speaker 1: should accelerate AI develop not restricted. Meta CEO says discourse 421 00:24:03,560 --> 00:24:09,280 Speaker 1: regarding artificial intelligence isn't optimistic enough. Mark. You lie about everything. 422 00:24:09,720 --> 00:24:16,720 Speaker 1: You lie systematically, big lies, in minute lies, middle sized lies, 423 00:24:16,760 --> 00:24:20,240 Speaker 1: as well, your company used some of the greatest minds 424 00:24:20,240 --> 00:24:24,000 Speaker 1: in our generation to get kids addicted to social media, 425 00:24:24,040 --> 00:24:28,199 Speaker 1: then denied it again. If you've not watched the probably 426 00:24:28,240 --> 00:24:31,600 Speaker 1: not really out of date documentary from several years back, 427 00:24:31,680 --> 00:24:37,240 Speaker 1: The Social Dilemma, do it so all right, Marky Mark? 428 00:24:37,320 --> 00:24:40,119 Speaker 1: And then indeed the Wall Street Journal published his editorial, 429 00:24:40,480 --> 00:24:44,520 Speaker 1: The AI future is for everyone. The history of democracy 430 00:24:44,520 --> 00:24:48,480 Speaker 1: and economics have proved that centralized power stifles human potential. 431 00:24:48,720 --> 00:24:53,040 Speaker 1: He's right about that, sure, and he uses the example 432 00:24:53,119 --> 00:24:57,000 Speaker 1: of the Wright Brothers righteous example. Mark, I don't disagree 433 00:24:57,040 --> 00:25:01,639 Speaker 1: with you on that. He says, the defining question of 434 00:25:01,640 --> 00:25:04,200 Speaker 1: our age is and whether superintelligence will exist? But who 435 00:25:04,200 --> 00:25:06,679 Speaker 1: will have access to it? Will it be centralized and 436 00:25:06,720 --> 00:25:08,840 Speaker 1: restricted to a few institutions, or will it be a 437 00:25:08,880 --> 00:25:10,200 Speaker 1: tool that empowers everyone? 438 00:25:10,440 --> 00:25:13,000 Speaker 3: Wow, he used as I as opposed to AGI. If 439 00:25:13,040 --> 00:25:17,760 Speaker 3: superintelligence ever exists, we are efing doomed. Katie bar the door. 440 00:25:18,040 --> 00:25:20,240 Speaker 3: Hunker down and just wait and see what the AIS 441 00:25:20,320 --> 00:25:22,200 Speaker 3: decide to do, because they're going to make all these 442 00:25:22,240 --> 00:25:23,680 Speaker 3: decisions completely on their own. 443 00:25:24,200 --> 00:25:27,000 Speaker 1: So funny you should say that the next sentences. It 444 00:25:27,080 --> 00:25:30,160 Speaker 1: is surprising that the discourse from many of those who 445 00:25:30,160 --> 00:25:34,159 Speaker 1: are developing artificial intelligence is so filled with doom. I 446 00:25:34,200 --> 00:25:37,520 Speaker 1: don't understand why anyone who believes that AI will eliminate 447 00:25:37,600 --> 00:25:40,600 Speaker 1: most jobs in much of humanity's relevance would rush to 448 00:25:40,640 --> 00:25:44,680 Speaker 1: build that future. Oh, for God's sake, Mark, are you serious? 449 00:25:44,920 --> 00:25:45,959 Speaker 1: Let do you rephrase that? 450 00:25:46,359 --> 00:25:50,120 Speaker 3: So you believe that a species arriving that's smarter than 451 00:25:50,200 --> 00:25:52,600 Speaker 3: humans is automatically a good thing? 452 00:25:52,680 --> 00:25:56,240 Speaker 1: Well, that's interesting. Don't be as a bs or Mark, 453 00:25:56,320 --> 00:25:59,280 Speaker 1: and or don't treat me like I'm stupid. Let me rephrase, 454 00:26:00,680 --> 00:26:05,720 Speaker 1: Let me rephrase his statement. I don't understand why anyone 455 00:26:06,680 --> 00:26:11,399 Speaker 1: who would control a technology so all powerful that it 456 00:26:11,440 --> 00:26:15,560 Speaker 1: would eliminate most jobs and much of humanity's relevance would 457 00:26:15,640 --> 00:26:18,480 Speaker 1: rush to build that future and to have it for themselves. 458 00:26:19,160 --> 00:26:21,959 Speaker 1: I can't believe anybody would want to ultimate power. Are 459 00:26:22,000 --> 00:26:25,080 Speaker 1: you blanking kidding me? You curly headed numbskull? And I 460 00:26:25,160 --> 00:26:27,439 Speaker 1: know you're not a numbskull, You're a liar. So he's 461 00:26:27,680 --> 00:26:30,240 Speaker 1: what like the third or fourth biggest spender in the 462 00:26:30,280 --> 00:26:35,480 Speaker 1: AI world told something like that, mm hmm with Elon 463 00:26:36,960 --> 00:26:41,440 Speaker 1: and open Ai and uh Googles. Google's huge, but he's 464 00:26:41,440 --> 00:26:44,439 Speaker 1: in the top handful. So why you spending all that money, 465 00:26:44,480 --> 00:26:47,640 Speaker 1: then why don't you just sit back and enjoy the 466 00:26:47,800 --> 00:26:50,240 Speaker 1: AI when it comes upon the world. Since you think 467 00:26:50,240 --> 00:26:52,800 Speaker 1: it's going to be so great for everyone, why do 468 00:26:52,840 --> 00:26:55,560 Speaker 1: you need to control part of it? The curly headed 469 00:26:55,600 --> 00:26:57,679 Speaker 1: liar goes on to say, the notion that AI is 470 00:26:57,720 --> 00:27:00,399 Speaker 1: so dangerous that the only safe path is an extreme 471 00:27:00,480 --> 00:27:04,320 Speaker 1: concentration of power seems dangerous. Historically, hoping that an absolute 472 00:27:04,320 --> 00:27:08,399 Speaker 1: power will benevolently provide for humanity if sufficiently enlightened, hasn't 473 00:27:08,480 --> 00:27:10,120 Speaker 1: led to say for positive outcomes. 474 00:27:10,600 --> 00:27:13,760 Speaker 3: Well, that's absolutely, but you want to be that you 475 00:27:13,880 --> 00:27:16,679 Speaker 3: think you're that safe benevolent power. It's like people who 476 00:27:16,720 --> 00:27:20,119 Speaker 3: believe in censorship. They feel like they're capable of choosing 477 00:27:20,160 --> 00:27:21,399 Speaker 3: what should be and shouldn't be. 478 00:27:21,800 --> 00:27:24,520 Speaker 1: I would do it fairly as I would just eliminate 479 00:27:24,560 --> 00:27:28,760 Speaker 1: hate speech. So this is interesting on a number of 480 00:27:28,800 --> 00:27:31,800 Speaker 1: different levels. There's part of me that thinks, yeah, you're saying, WHOA, Well, 481 00:27:31,880 --> 00:27:34,880 Speaker 1: we need to share this technology until the moment you're 482 00:27:34,920 --> 00:27:38,840 Speaker 1: in first place, and then your tune will change substantially. 483 00:27:39,240 --> 00:27:43,120 Speaker 1: On the other hand, he's absolutely right that in terms 484 00:27:43,160 --> 00:27:47,600 Speaker 1: of regulation, reining in the possible horrors of all this 485 00:27:48,560 --> 00:27:52,520 Speaker 1: trying to figure out how optimistic or doomy to be. Man, 486 00:27:52,600 --> 00:27:56,080 Speaker 1: we're out at sea. We are so out at sea. 487 00:27:56,960 --> 00:28:01,880 Speaker 3: I Krumba well, Emodiat Claw and Elon ed Grock they 488 00:28:01,920 --> 00:28:03,760 Speaker 3: both want to rein it in and think there need 489 00:28:03,880 --> 00:28:04,680 Speaker 3: to be some controls. 490 00:28:04,720 --> 00:28:07,160 Speaker 1: But I just I just think that's so unrealistic. How 491 00:28:07,920 --> 00:28:12,080 Speaker 1: who do I even have to say it? And China, Yeah, 492 00:28:12,119 --> 00:28:14,920 Speaker 1: what about China. A couple more headlines that I found 493 00:28:15,040 --> 00:28:19,240 Speaker 1: very interesting, same topic more or less, and this one 494 00:28:19,320 --> 00:28:22,919 Speaker 1: really made me feel dopey. The rise of million dollar 495 00:28:23,040 --> 00:28:27,760 Speaker 1: companies with just one employee. AI tools make it easier 496 00:28:27,800 --> 00:28:30,679 Speaker 1: for founders to get started alone, and many stay that 497 00:28:30,720 --> 00:28:34,760 Speaker 1: way as they grow. Listen to diss here. Then broke 498 00:28:34,840 --> 00:28:41,160 Speaker 1: A launched a company last December Folks, last December Wow 499 00:28:41,520 --> 00:28:46,360 Speaker 1: that offers AI tools to entrepreneurs and helps them use them. Obviously, 500 00:28:46,680 --> 00:28:50,080 Speaker 1: he's already added ten thousand paying customers and is on 501 00:28:50,160 --> 00:28:53,080 Speaker 1: track to bring in ten million dollars in revenue this year. 502 00:28:53,440 --> 00:28:57,040 Speaker 1: One thing he hasn't added any employees. The forty year 503 00:28:57,080 --> 00:28:59,120 Speaker 1: old is part of a class of entrepreneurs who are 504 00:28:59,160 --> 00:29:02,640 Speaker 1: launching then often running new companies on their own. Artificial 505 00:29:02,680 --> 00:29:07,600 Speaker 1: intelligence tools, answer broke as emails, help write and debug code, 506 00:29:08,040 --> 00:29:13,719 Speaker 1: field requests from customers, sign up new subscribers, and grant refunds. 507 00:29:13,880 --> 00:29:17,560 Speaker 1: If issues should arise on their own, is it okay? 508 00:29:17,600 --> 00:29:20,160 Speaker 3: If I hate him? He might be a perfectly nice person. 509 00:29:20,240 --> 00:29:23,640 Speaker 3: But he started a company eight months ago. 510 00:29:24,280 --> 00:29:28,480 Speaker 1: Yes, Ony Nontrack to bring in ten million bucks this 511 00:29:28,480 --> 00:29:33,120 Speaker 1: fiscal year. Yeah. He relishes his ability to make whatever 512 00:29:33,160 --> 00:29:35,520 Speaker 1: decisions he wants on his own, often from his son 513 00:29:35,680 --> 00:29:39,920 Speaker 1: drenched Suscilito, California living room quote. I think compromises make 514 00:29:40,000 --> 00:29:43,280 Speaker 1: lukewarm results, he said, Well, committees, et cetera. I agree 515 00:29:43,280 --> 00:29:46,320 Speaker 1: with you, sir. It's kind of a hipster looking dude. 516 00:29:46,360 --> 00:29:50,200 Speaker 1: Looks like a fun got to hang out with. It's 517 00:29:50,280 --> 00:29:55,400 Speaker 1: him and his AI agents, which is the part of AI, 518 00:29:55,600 --> 00:29:59,040 Speaker 1: which is the only part that matters, Which is the 519 00:29:59,080 --> 00:30:03,840 Speaker 1: part we don't use. Right. I have friends that use them, 520 00:30:03,880 --> 00:30:05,880 Speaker 1: and it's quite fascinating to hear them talk about it, 521 00:30:05,920 --> 00:30:08,560 Speaker 1: but I have not personally experienced it. I should. In fact, 522 00:30:08,640 --> 00:30:11,560 Speaker 1: I'm going to ask my AI chatbot, Hey, I'm super 523 00:30:11,640 --> 00:30:15,640 Speaker 1: interested in the world of AI agents. I've actually talked 524 00:30:15,680 --> 00:30:21,840 Speaker 1: to it a little bit about organizing the astonishing and 525 00:30:23,840 --> 00:30:27,120 Speaker 1: incredibly like overwhelming amount of information I bring to the 526 00:30:27,120 --> 00:30:29,479 Speaker 1: show every day, and I'm desperately trying to organize it 527 00:30:29,640 --> 00:30:33,480 Speaker 1: and remember what I have. Maybe I'll imply an agent 528 00:30:33,760 --> 00:30:34,840 Speaker 1: to do that, so as. 529 00:30:34,760 --> 00:30:36,920 Speaker 3: Your understanding that because I use the chatbots and they're 530 00:30:36,920 --> 00:30:39,720 Speaker 3: pretty good at this. But so I'm doing this going 531 00:30:39,760 --> 00:30:41,720 Speaker 3: on vacation here in a couple of weeks, and I 532 00:30:41,720 --> 00:30:45,200 Speaker 3: think we're gonna drive across part of Canada and do 533 00:30:45,240 --> 00:30:45,920 Speaker 3: a bunch of stuff. 534 00:30:46,120 --> 00:30:47,560 Speaker 1: So would it be. 535 00:30:47,400 --> 00:30:50,880 Speaker 3: Better to use like the actual Claude opus instead of 536 00:30:51,200 --> 00:30:55,880 Speaker 3: just the Claude chatbot and say, here's my criteria, this 537 00:30:55,920 --> 00:30:57,080 Speaker 3: is where we're going, this is. 538 00:30:57,000 --> 00:30:58,040 Speaker 1: How long I have. 539 00:30:59,480 --> 00:31:01,320 Speaker 3: Put it all together for me? Is that the sort 540 00:31:01,320 --> 00:31:02,880 Speaker 3: of thing I would use real AI for? 541 00:31:03,880 --> 00:31:06,760 Speaker 1: I think? So? I wish I knew folks who you 542 00:31:06,880 --> 00:31:08,920 Speaker 1: do know this? Feel free to text four one five 543 00:31:08,960 --> 00:31:12,960 Speaker 1: two nine five KFTC or mail bag at Armstrong egeddy 544 00:31:13,000 --> 00:31:15,440 Speaker 1: dot com. The other thing, I actually asked several of 545 00:31:15,440 --> 00:31:18,320 Speaker 1: my chatbots just as an example, for a list of 546 00:31:18,360 --> 00:31:24,400 Speaker 1: the twenty or thirty best books about liberty, the philosophical 547 00:31:24,520 --> 00:31:29,680 Speaker 1: underpinning underpinnings of human liberty, and they spewed out lists 548 00:31:29,680 --> 00:31:32,080 Speaker 1: with fair amount of overlap, with some differences. And I 549 00:31:32,120 --> 00:31:33,880 Speaker 1: know there are agents that I could tell, all right, 550 00:31:34,000 --> 00:31:35,920 Speaker 1: find me good prices and buy them all for me, 551 00:31:36,560 --> 00:31:37,920 Speaker 1: get them shipped to the house. I would like to 552 00:31:37,920 --> 00:31:40,600 Speaker 1: do that because that would be I mean, it's not 553 00:31:40,640 --> 00:31:42,400 Speaker 1: like I'm building a house or anything, but I'm a 554 00:31:42,400 --> 00:31:46,800 Speaker 1: fairly busy fellow. And that would take hours, hours to 555 00:31:46,880 --> 00:31:50,000 Speaker 1: get copies of all those books that my kids would 556 00:31:50,040 --> 00:31:52,360 Speaker 1: have to get rid of when I die. Anyway, even if. 557 00:31:52,240 --> 00:31:53,840 Speaker 3: I took forty five minutes, and you can do it 558 00:31:53,840 --> 00:31:57,000 Speaker 3: with one prompt, why wouldn't you a couple more headlines 559 00:31:57,040 --> 00:31:57,480 Speaker 3: super quick? 560 00:31:57,520 --> 00:31:59,680 Speaker 1: Michael? I know we need to break a backlash against 561 00:31:59,680 --> 00:32:03,600 Speaker 1: ant is brewing in Silicon Valley. The AIENT Pioneer faces 562 00:32:03,640 --> 00:32:08,040 Speaker 1: growing distrust from startup founders and researchers over competitive tactics, guardrails, 563 00:32:08,040 --> 00:32:11,479 Speaker 1: and lack of support for open weight models. Is that 564 00:32:11,520 --> 00:32:13,840 Speaker 1: the last one? I think, Yeah, that's the last one. 565 00:32:13,880 --> 00:32:17,080 Speaker 1: So everybody's pissed off at everybody. Everybody's looking to be 566 00:32:17,200 --> 00:32:19,920 Speaker 1: the leader. Everybody says the leader ought to open their books. 567 00:32:20,000 --> 00:32:22,200 Speaker 1: Everybody's afraid of China. China is afraid of us. And 568 00:32:22,240 --> 00:32:25,240 Speaker 1: nobody knows what any of this is just to summarize. 569 00:32:24,760 --> 00:32:27,640 Speaker 3: And when it becomes super intelligence, it's going to do 570 00:32:27,680 --> 00:32:29,959 Speaker 3: whatever it wants, regardless of your thinking. 571 00:32:30,320 --> 00:32:32,440 Speaker 1: And some bastard and sauce of leader is getting rich. 572 00:32:34,520 --> 00:32:35,360 Speaker 1: We'll finish strong. 573 00:32:35,440 --> 00:32:44,920 Speaker 3: Next two TV recommendations just stuff. 574 00:32:44,960 --> 00:32:46,720 Speaker 1: I'm enjoying one old, one new. 575 00:32:46,760 --> 00:32:49,320 Speaker 3: I've been mentioned and my son and I started Seinfeld 576 00:32:49,320 --> 00:32:51,800 Speaker 3: from episode one and we're about three with season two 577 00:32:51,840 --> 00:32:54,200 Speaker 3: and we're just freaking loving it. I mean, I'm loving 578 00:32:54,200 --> 00:32:56,440 Speaker 3: it as much as I loved it in nineteen ninety 579 00:32:56,440 --> 00:32:58,560 Speaker 3: one when it was new. I can't wait to watch 580 00:32:58,560 --> 00:33:00,400 Speaker 3: the next episode. We're having so much fun with it. 581 00:33:00,760 --> 00:33:03,560 Speaker 3: That's something you can watch with your at least teenagers, 582 00:33:03,560 --> 00:33:07,440 Speaker 3: because it gets a little salty sometimes, but very salty. 583 00:33:07,600 --> 00:33:10,160 Speaker 3: This is a bro show. This is not something this 584 00:33:10,240 --> 00:33:12,240 Speaker 3: is for dudes to watch or certain kinds of women 585 00:33:12,280 --> 00:33:13,200 Speaker 3: I've known in my life. 586 00:33:13,480 --> 00:33:16,000 Speaker 1: Tires. Have you seen that sitcom? 587 00:33:16,120 --> 00:33:18,040 Speaker 3: It's a garage bunch of guys who work at a 588 00:33:18,040 --> 00:33:21,080 Speaker 3: garage and Shane Gillis is the lead actor. And oh, 589 00:33:21,120 --> 00:33:24,120 Speaker 3: it is freaking funny. That is a funny damn show 590 00:33:24,960 --> 00:33:25,680 Speaker 3: on Netflix. 591 00:33:26,160 --> 00:33:28,160 Speaker 1: Oh Netflix, Okay. 592 00:33:27,760 --> 00:33:37,000 Speaker 3: Netflix, Yeah, it is locker room humor, but it. 593 00:33:37,000 --> 00:33:39,920 Speaker 1: Is pretty damn fpreciate the Sailor Talk. Here's your host 594 00:33:39,960 --> 00:33:42,480 Speaker 1: for final thoughts, Joe Getty. Let's get a final thought 595 00:33:42,520 --> 00:33:44,240 Speaker 1: from everybody on the CREUI to wrap up the show 596 00:33:44,240 --> 00:33:46,600 Speaker 1: for the day. Michael, an Lawer, technical director, will lead 597 00:33:46,600 --> 00:33:47,880 Speaker 1: the way. Michael, watch your final thought. 598 00:33:47,960 --> 00:33:50,880 Speaker 3: Yeah, my wife and I are using chat gp jet 599 00:33:51,160 --> 00:33:54,560 Speaker 3: chat GPT for cooking and so we're loving it and. 600 00:33:54,520 --> 00:33:58,160 Speaker 1: We're making all sorts of new recipes. You know, that's funny. 601 00:33:58,160 --> 00:33:59,960 Speaker 1: I'm gonna jump in with my final thought. I was 602 00:34:00,040 --> 00:34:04,280 Speaker 1: actually just trying to type anthropic into my search bar 603 00:34:04,440 --> 00:34:09,280 Speaker 1: and I kept mistyping it, and I thought, a claude. 604 00:34:09,320 --> 00:34:13,000 Speaker 1: Can you just get me to claude because I'm too dumb? 605 00:34:13,719 --> 00:34:16,720 Speaker 1: Oh boy, Jack And final thought, Yeah, recipes. 606 00:34:16,400 --> 00:34:17,759 Speaker 3: Is a good one, Michael. I've done that with a 607 00:34:17,760 --> 00:34:19,560 Speaker 3: couple of different things. And again, you don't have to 608 00:34:19,600 --> 00:34:22,240 Speaker 3: give it the specifics that you used to on Google 609 00:34:22,320 --> 00:34:25,160 Speaker 3: and then go through a bunch of paid ads and 610 00:34:25,200 --> 00:34:27,800 Speaker 3: all this different sort of stuff that's not real information. 611 00:34:28,320 --> 00:34:30,279 Speaker 3: Just say this is what I like, this is what 612 00:34:30,360 --> 00:34:30,880 Speaker 3: I got. 613 00:34:31,080 --> 00:34:32,520 Speaker 1: What should I you know, how do I do this 614 00:34:32,760 --> 00:34:34,080 Speaker 1: or blah blah blah. 615 00:34:34,480 --> 00:34:36,240 Speaker 3: Last time I did it it turned out too RUnni 616 00:34:36,360 --> 00:34:37,400 Speaker 3: or whatever the hell it is. 617 00:34:37,440 --> 00:34:40,960 Speaker 1: It's so good at answering those questions. Oh great, it's amazing. 618 00:34:41,120 --> 00:34:43,759 Speaker 3: Armstrong and Getty wrapping up another grueling four hour work. 619 00:34:43,800 --> 00:34:45,800 Speaker 1: There so many people. Thanks so a little time. Go 620 00:34:45,840 --> 00:34:47,560 Speaker 1: to Armstrong and geddy dot com. We've got some really 621 00:34:47,560 --> 00:34:49,560 Speaker 1: good hot links stuff we talked about today that we 622 00:34:49,600 --> 00:34:52,520 Speaker 1: thought you might want to look at again. Drop us 623 00:34:52,520 --> 00:34:55,239 Speaker 1: a note mail bag at Armstrong and Getty dot com. 624 00:34:55,239 --> 00:34:57,719 Speaker 1: Pick up some ang swag for yourself or you loved one. 625 00:34:58,320 --> 00:35:01,759 Speaker 1: It'll help keep everybody on the payroll during these challenging times. 626 00:35:02,160 --> 00:35:05,600 Speaker 1: What day is today? Is already Thursday? Tuesday? Awesome, We'll 627 00:35:05,640 --> 00:35:09,640 Speaker 1: see on Friday. God bless America. I'm strong and that 628 00:35:09,760 --> 00:35:14,160 Speaker 1: is the climax of foolishness. It's aussile. Yeah, go away, 629 00:35:14,400 --> 00:35:16,839 Speaker 1: screw it. I'm leaving. I'm doing the work. Is it's 630 00:35:17,000 --> 00:35:24,239 Speaker 1: it's sort of it's kind of bogus. Get over. I 631 00:35:24,239 --> 00:35:27,640 Speaker 1: think this is so ill advised. I'm gone, my lawyer, 632 00:35:28,360 --> 00:35:30,439 Speaker 1: and when it's over, it is over. It is over. 633 00:35:30,560 --> 00:35:32,880 Speaker 1: You are being a grumpy pant. What does it have 634 00:35:33,000 --> 00:35:37,760 Speaker 1: to be? You, you take me off. I'm strong and getty.