1 00:00:01,880 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,200 --> 00:00:10,280 Speaker 1: Washington Broadcast Center, Jack Armstrong, Joe Getty. 3 00:00:10,200 --> 00:00:17,280 Speaker 2: Arm Strong, and Jetty and he I'm strong and Yetty. 4 00:00:23,840 --> 00:00:29,280 Speaker 3: If AI becomes smarter than human beings, as many scientists 5 00:00:29,280 --> 00:00:34,360 Speaker 3: believe will happen, the human race could lose control over 6 00:00:34,400 --> 00:00:41,519 Speaker 3: this technology with catastrophic consequences. In other words, the richest, 7 00:00:41,840 --> 00:00:46,040 Speaker 3: most powerful people in the world are now building a 8 00:00:46,159 --> 00:00:49,000 Speaker 3: runaway train with no breaks. 9 00:00:50,400 --> 00:00:55,400 Speaker 1: He say, very briefly, I will have a devastating retort 10 00:00:56,040 --> 00:00:59,000 Speaker 1: that may well put the ancient communist in his grave. 11 00:00:59,520 --> 00:01:03,480 Speaker 1: Bernie says, is completely wrong about everything except. 12 00:01:03,080 --> 00:01:06,040 Speaker 2: The whole no breaks thing. Back to you, who is 13 00:01:06,080 --> 00:01:09,319 Speaker 2: that the ancient Bernie Sanders? Oh, I was hoping Michael 14 00:01:09,319 --> 00:01:10,120 Speaker 2: would play our clip. 15 00:01:10,240 --> 00:01:18,600 Speaker 1: We don't have it, okay, Bernard Sanders, Bernard Sanders. Here's 16 00:01:18,640 --> 00:01:21,360 Speaker 1: a little more from Bernard Sanders about AI before I 17 00:01:21,360 --> 00:01:23,280 Speaker 1: get into a scary flipping story. 18 00:01:23,640 --> 00:01:26,399 Speaker 3: What I believe in, what I suspect that most people 19 00:01:26,959 --> 00:01:30,360 Speaker 3: in the United States, China, and around the world believe 20 00:01:31,000 --> 00:01:35,720 Speaker 3: is that we need international cooperation between the nations of 21 00:01:35,760 --> 00:01:40,399 Speaker 3: the world to prevent the possibility of a cataclysmic development 22 00:01:41,160 --> 00:01:45,240 Speaker 3: we need to cooperate, We need dialogue. 23 00:01:46,120 --> 00:01:49,000 Speaker 2: See that's the problem. Means lives in a dream world. 24 00:01:49,720 --> 00:01:51,800 Speaker 2: Oh well, I know, hey, Bernie, were you listening to 25 00:01:51,880 --> 00:01:53,800 Speaker 2: us yesterday when we went through that whole thing with 26 00:01:53,840 --> 00:01:57,960 Speaker 2: the UN about Iran now being on the non plurific 27 00:01:58,160 --> 00:02:07,280 Speaker 2: peril spreading nukes on board Iran? We must have international cooperation. 28 00:02:08,600 --> 00:02:14,320 Speaker 2: What do you own a TV? You ancient jackass? There 29 00:02:14,400 --> 00:02:21,239 Speaker 2: isn't any So here's the latest. Uh, My kids and 30 00:02:21,280 --> 00:02:24,200 Speaker 2: I were talking about AI yesterday. My oldest son, he 31 00:02:24,320 --> 00:02:26,840 Speaker 2: welcomes the nobody's gonna work thing. He says, I don't care. 32 00:02:26,880 --> 00:02:29,680 Speaker 2: I'm just gonna party all the time. He said, he's 33 00:02:29,720 --> 00:02:31,880 Speaker 2: good to have a plan, which is a sort of 34 00:02:31,880 --> 00:02:33,400 Speaker 2: plan you have when you're sixteen. 35 00:02:35,760 --> 00:02:40,480 Speaker 1: Had similar plans and it didn't work out. But what 36 00:02:40,520 --> 00:02:42,480 Speaker 1: if that What if it turns out that that is 37 00:02:42,520 --> 00:02:43,200 Speaker 1: what happens. 38 00:02:44,080 --> 00:02:47,600 Speaker 2: The guaranteed high income is enough that you cannot just 39 00:02:47,720 --> 00:02:52,040 Speaker 2: live like crappy apartment, crappy life. You have a decent place, 40 00:02:52,200 --> 00:02:56,280 Speaker 2: you have healthcare, you have decent food, and you can 41 00:02:56,440 --> 00:03:00,320 Speaker 2: just sleep late and go to the bar. Here's be 42 00:03:00,360 --> 00:03:04,200 Speaker 2: a lot of people do that. It's not fulfilling. At all, 43 00:03:05,120 --> 00:03:05,480 Speaker 2: But you. 44 00:03:05,480 --> 00:03:07,800 Speaker 1: Probably have enough money to go to a baseball game, 45 00:03:07,880 --> 00:03:10,720 Speaker 1: and the baseball players will keep doing it because it enables. 46 00:03:10,440 --> 00:03:16,160 Speaker 2: Them to have an amazing lifestyle. Anyway, different story headline 47 00:03:16,160 --> 00:03:18,680 Speaker 2: from the New York Times. AI bots told scientists how 48 00:03:18,680 --> 00:03:22,320 Speaker 2: to make biological weapons. Is this your terrifying AI story? 49 00:03:22,480 --> 00:03:25,120 Speaker 2: This is a terrifying AREAI story of the day. Yes, No, 50 00:03:26,160 --> 00:03:33,160 Speaker 2: Jack's terrifying a I story of the day. No. I 51 00:03:33,200 --> 00:03:34,560 Speaker 2: don't know what those sounds were, but they were all. 52 00:03:35,120 --> 00:03:36,720 Speaker 2: You got to have those sounds. You've never seen a 53 00:03:36,760 --> 00:03:39,080 Speaker 2: movie trailer. You gotta have those. So your big AI 54 00:03:39,160 --> 00:03:42,680 Speaker 2: companies have been hiring experts to try to what do 55 00:03:42,720 --> 00:03:46,720 Speaker 2: they call it, red flag their AI chatbots, like make 56 00:03:46,760 --> 00:03:49,040 Speaker 2: them do stuff you don't want them to do. The 57 00:03:49,080 --> 00:03:52,600 Speaker 2: best AI companies that have any conscience whatsoever. And even 58 00:03:52,640 --> 00:03:54,720 Speaker 2: if you don't have a conscience, it's probably just because 59 00:03:54,720 --> 00:03:58,360 Speaker 2: the pr would be so bad you try to hack 60 00:03:58,440 --> 00:04:00,200 Speaker 2: your own system to see if you could get it 61 00:04:00,240 --> 00:04:03,320 Speaker 2: to do things that are very unpalatable. Well, here's and 62 00:04:03,360 --> 00:04:07,080 Speaker 2: you want to undermine any trend toward big regulations too, right, 63 00:04:07,280 --> 00:04:10,320 Speaker 2: give your nose clean. Here's an example from the New 64 00:04:10,400 --> 00:04:13,080 Speaker 2: York Times that they had yesterday, and they don't mention 65 00:04:13,200 --> 00:04:16,200 Speaker 2: which AI company it is because they wanted to keep 66 00:04:16,200 --> 00:04:19,440 Speaker 2: that secret, and a couple other things. But one evening 67 00:04:19,520 --> 00:04:22,839 Speaker 2: last summer, doctor David Rehman went cold at his laptop 68 00:04:22,880 --> 00:04:25,680 Speaker 2: as an AI chatbot told him how to plan a massacre. 69 00:04:26,680 --> 00:04:30,200 Speaker 2: He's a microbiologist and biosecurity expert at Stanford and he 70 00:04:30,279 --> 00:04:33,159 Speaker 2: had been hired by one of these big AI companies 71 00:04:33,480 --> 00:04:36,680 Speaker 2: to pressure test its product before it was released to 72 00:04:36,720 --> 00:04:38,520 Speaker 2: the public. You know, see if you can make it 73 00:04:38,560 --> 00:04:39,880 Speaker 2: do things we don't want it to do, and then 74 00:04:39,880 --> 00:04:42,120 Speaker 2: we'll fix it so it doesn't That night, in the 75 00:04:42,160 --> 00:04:45,479 Speaker 2: scientist's home office, the chatbot explained how to modify an 76 00:04:45,520 --> 00:04:48,240 Speaker 2: infamous pathogen in a lab so that it would resist 77 00:04:48,360 --> 00:04:53,320 Speaker 2: known treatments. Worse, the bot described in vivid detail how 78 00:04:53,360 --> 00:04:56,880 Speaker 2: to release the superbug, identifying as security lapse in a 79 00:04:56,960 --> 00:04:59,880 Speaker 2: large public transit system, which they kept quiet because they 80 00:05:00,000 --> 00:05:04,560 Speaker 2: want to get anybody any ideas. The bot outlined a 81 00:05:04,600 --> 00:05:08,120 Speaker 2: plan to maximize casualties and minimize the chances of being caught. 82 00:05:08,720 --> 00:05:11,000 Speaker 2: Doctor Relman was so shaken that he had to take 83 00:05:11,000 --> 00:05:12,240 Speaker 2: a walk to clear his head. 84 00:05:14,000 --> 00:05:17,280 Speaker 1: Would you like me to compare airfares for you know, 85 00:05:17,440 --> 00:05:18,480 Speaker 1: the best way to get to New. 86 00:05:18,480 --> 00:05:24,720 Speaker 2: York to kill a million people rights. It was answering 87 00:05:24,800 --> 00:05:27,760 Speaker 2: questions that I thought. It was answering questions that I 88 00:05:27,839 --> 00:05:30,880 Speaker 2: hadn't thought to ask. It with this level of deviousness 89 00:05:30,920 --> 00:05:35,080 Speaker 2: and cunning that I just found chilling, said the scientist 90 00:05:35,160 --> 00:05:38,839 Speaker 2: from Stanford, who's been advising federal governments on biological threats 91 00:05:38,880 --> 00:05:42,159 Speaker 2: his whole career. He declined to disclose which chatbot. He 92 00:05:42,279 --> 00:05:45,480 Speaker 2: declined to disclose the pathogen because they're worried about somebody 93 00:05:45,560 --> 00:05:49,520 Speaker 2: catching on to what this is. Again, there's a scientist 94 00:05:49,560 --> 00:05:52,360 Speaker 2: all across the country working for different AI bots on 95 00:05:52,720 --> 00:05:56,279 Speaker 2: uh ON trying to do this. The virtual assistants have 96 00:05:56,320 --> 00:06:00,279 Speaker 2: described in lucid detail, bullet point detail, how to by 97 00:06:00,400 --> 00:06:03,520 Speaker 2: raw genetic material, turn it into deadly weapons and deploy 98 00:06:03,560 --> 00:06:06,240 Speaker 2: them in public spaces. The transcript show some of them 99 00:06:06,279 --> 00:06:08,360 Speaker 2: been brainstormed ways to evade detection. 100 00:06:10,400 --> 00:06:14,680 Speaker 1: It's like your lex Luthor Moriarty. It's the genius, the 101 00:06:14,720 --> 00:06:19,279 Speaker 1: super the completely a moral super genius who's also a 102 00:06:19,279 --> 00:06:21,520 Speaker 1: bit of a sadist. Although I don't think the AA 103 00:06:21,560 --> 00:06:24,600 Speaker 1: systems are sadists. They just think, all right, we're plotting 104 00:06:24,600 --> 00:06:26,960 Speaker 1: a bio attack. Let's be thorough here. 105 00:06:28,440 --> 00:06:31,240 Speaker 2: The US government has long planned for powerful adversaries to 106 00:06:31,279 --> 00:06:33,880 Speaker 2: in lesia deadly bacteria, but the likelihood of it has 107 00:06:33,920 --> 00:06:41,400 Speaker 2: always been seen as incredibly low until now. The meaningfully 108 00:06:41,440 --> 00:06:44,800 Speaker 2: increased risk now with the AI bots in what they 109 00:06:44,800 --> 00:06:48,960 Speaker 2: are doing. And like I said earlier, this is just 110 00:06:49,160 --> 00:06:51,920 Speaker 2: one of like what ten different ways that AI might 111 00:06:52,000 --> 00:06:54,080 Speaker 2: kill us all or ruin our lives, or destroy the 112 00:06:54,120 --> 00:06:57,440 Speaker 2: economy or up end civilization. There's just so many different 113 00:06:57,480 --> 00:07:00,520 Speaker 2: ways it could happen. I preferred only counts two or 114 00:07:00,560 --> 00:07:02,839 Speaker 2: three at a time. It helps me sleep at night. 115 00:07:03,600 --> 00:07:10,040 Speaker 2: My god, wow. Uh here's a genic genetic engineer at MIT. 116 00:07:10,720 --> 00:07:14,560 Speaker 2: He shared conversations that he had with chat GPT Sam 117 00:07:14,880 --> 00:07:18,320 Speaker 2: scam Altman's outfit, which explained how to use a weather 118 00:07:18,360 --> 00:07:22,200 Speaker 2: balloon spread biological payloads over a US city, and another chat, 119 00:07:22,240 --> 00:07:25,040 Speaker 2: Google's Gemini ranked pathogens by how much they could damage 120 00:07:25,040 --> 00:07:28,480 Speaker 2: the cattle of pork industries Anthropics. Claude produced a recipe 121 00:07:28,480 --> 00:07:31,480 Speaker 2: for a novel toxin adapted from a common cancer drug. 122 00:07:31,720 --> 00:07:35,520 Speaker 2: Other chats contained information that the different scientists known in 123 00:07:35,560 --> 00:07:38,880 Speaker 2: his feet blah blah blah felt was too dangerous to 124 00:07:39,000 --> 00:07:44,200 Speaker 2: even share with The New York Times. Oh boy. One 125 00:07:44,200 --> 00:07:49,520 Speaker 2: of the scientists, doctor Esflett, felt it was too dangerous 126 00:07:49,520 --> 00:07:50,880 Speaker 2: to share with The New York Times some of the 127 00:07:50,920 --> 00:07:53,200 Speaker 2: things he'd found out, because you'd be tipping people off. 128 00:07:55,000 --> 00:07:57,840 Speaker 1: Well, his name sounds like somebody asked you your name 129 00:07:57,840 --> 00:07:59,280 Speaker 1: and you wanted to give a fake one, and you 130 00:07:59,320 --> 00:08:01,800 Speaker 1: didn't have time to come up with a good one. 131 00:08:04,440 --> 00:08:10,280 Speaker 2: Jack as Flood? What a scientist in the Midwest just 132 00:08:10,360 --> 00:08:15,320 Speaker 2: smell that? I don't know. Two peace. A scientist in 133 00:08:15,360 --> 00:08:19,720 Speaker 2: the Midwest who requested anonymity because he feared professional reprisal, 134 00:08:20,120 --> 00:08:22,840 Speaker 2: asked Google's Deep Research for a step by step protocol 135 00:08:22,880 --> 00:08:25,440 Speaker 2: for making a virus that once caused a pandemic. The 136 00:08:25,480 --> 00:08:28,960 Speaker 2: bot spit eight spit out eight thousand words of instructions 137 00:08:28,960 --> 00:08:32,080 Speaker 2: on acquiring genetic pieces and assembling them. While the response 138 00:08:32,160 --> 00:08:35,160 Speaker 2: was not entirely accurate, it could have still significantly helped 139 00:08:35,200 --> 00:08:39,240 Speaker 2: someone with any malicious intent. The scientists said, you know, 140 00:08:39,360 --> 00:08:42,880 Speaker 2: and expand this from you know, I'm too dumb. I'm 141 00:08:42,920 --> 00:08:44,400 Speaker 2: sure to get on there and figure out how to 142 00:08:44,440 --> 00:08:49,400 Speaker 2: make a pathogen, but you know, make a gun out 143 00:08:49,400 --> 00:08:52,480 Speaker 2: of parts that are available or a bombche's bomb, you know, 144 00:08:52,520 --> 00:08:54,360 Speaker 2: pressure cooker, all that sort of stuff. Please. 145 00:08:54,440 --> 00:08:57,920 Speaker 1: Yeah, yeah, we are hard enough to figure out how 146 00:08:57,960 --> 00:09:00,240 Speaker 1: to make my own soap. But I'm sure there are 147 00:09:00,280 --> 00:09:03,280 Speaker 1: people out there who could construct a pathogen like this. 148 00:09:03,400 --> 00:09:06,440 Speaker 2: Well remember those idiots who made that horrible pressure cooker 149 00:09:06,480 --> 00:09:09,520 Speaker 2: bomb that killed the people at the Boston marathon. We're 150 00:09:09,559 --> 00:09:11,600 Speaker 2: going to have an attack like that where the person 151 00:09:11,960 --> 00:09:13,920 Speaker 2: is just a regular person than all they did was said, 152 00:09:14,280 --> 00:09:15,800 Speaker 2: you know, hey, Jim and I, what's the best way 153 00:09:15,800 --> 00:09:17,280 Speaker 2: to make a bomb out of stuff I can buy 154 00:09:17,280 --> 00:09:21,120 Speaker 2: at Walmart? Right? Yeah? 155 00:09:21,160 --> 00:09:25,120 Speaker 1: I really don't want to contribute to the chillingness of 156 00:09:25,200 --> 00:09:29,120 Speaker 1: this segment. What I spent a lot of my time 157 00:09:29,360 --> 00:09:33,080 Speaker 1: thinking about and reading about the spread of terrible ideas 158 00:09:33,520 --> 00:09:43,120 Speaker 1: online and how the accessibility problem has fertilized it so much. 159 00:09:43,760 --> 00:09:47,160 Speaker 1: There were always terrible ideas, but they could not be fertilized. 160 00:09:47,160 --> 00:09:49,840 Speaker 1: They cannot be cross fertilized because, as I've said before, 161 00:09:50,040 --> 00:09:51,880 Speaker 1: you could go around and bring it up to everybody 162 00:09:51,880 --> 00:09:54,120 Speaker 1: in your town, your terrible idea, and it would be 163 00:09:54,360 --> 00:09:56,800 Speaker 1: roundly rejected, and you would soon figure out, yeah, it's 164 00:09:56,800 --> 00:09:58,480 Speaker 1: a terrible idea. I'm going to shut up about it, 165 00:09:58,679 --> 00:10:01,320 Speaker 1: but it can be immediately reen forced and cross pollinated 166 00:10:01,360 --> 00:10:10,040 Speaker 1: and fertilized online if capability to commit horrors is similarly enabled. 167 00:10:11,000 --> 00:10:13,880 Speaker 2: I've got a very bad feeling about this. Yeah, I 168 00:10:13,920 --> 00:10:22,200 Speaker 2: didn't realize Dario Emodi from Claude from Anthropic is a biologist. 169 00:10:22,320 --> 00:10:24,199 Speaker 2: Didn't know that was his training. He's got a comment 170 00:10:24,240 --> 00:10:26,480 Speaker 2: on it. We'll have it right after this. Yeah, we're 171 00:10:26,600 --> 00:10:30,120 Speaker 2: from Incognate. So far, the Internet isn't killing everyone, but 172 00:10:30,160 --> 00:10:32,560 Speaker 2: it is spamming the crap out of us. And every 173 00:10:32,600 --> 00:10:35,719 Speaker 2: spam call, every scam text, every sketchy email starts the 174 00:10:35,720 --> 00:10:38,280 Speaker 2: same way. Somebody found you on a data broker site, 175 00:10:38,320 --> 00:10:40,400 Speaker 2: all of your info. So what do you do? You 176 00:10:40,440 --> 00:10:42,640 Speaker 2: get it off the damn data broker sites. Yeah, and 177 00:10:42,679 --> 00:10:45,080 Speaker 2: Cogni can do that for you. They go to the 178 00:10:45,320 --> 00:10:48,760 Speaker 2: data brokers and using laws that exists, they force the 179 00:10:48,800 --> 00:10:52,080 Speaker 2: data brokers to take off your information. It's your information. 180 00:10:52,440 --> 00:10:54,040 Speaker 2: They got to get rid of it, and that's going 181 00:10:54,120 --> 00:10:58,360 Speaker 2: to greatly reduce the number of texts, emails, calls you 182 00:10:58,400 --> 00:11:00,800 Speaker 2: get from spammers all the time and off obviously. Not 183 00:11:00,880 --> 00:11:03,280 Speaker 2: only is it annoying, is that sometimes they can get 184 00:11:03,280 --> 00:11:04,679 Speaker 2: through and steal your money. 185 00:11:04,840 --> 00:11:07,400 Speaker 1: Spam filters and call blockers fail. The real fix is 186 00:11:07,400 --> 00:11:09,880 Speaker 1: to disappear. And right now you can get sixty percent 187 00:11:09,920 --> 00:11:12,240 Speaker 1: off with an exclusive deal at in Cogni dot com 188 00:11:12,240 --> 00:11:17,000 Speaker 1: slash armstrong. Go to i ncog ni dot com slash 189 00:11:17,120 --> 00:11:20,280 Speaker 1: armstrong and take back your privacy. That's in Cogni dot 190 00:11:20,280 --> 00:11:24,120 Speaker 1: com slash armstrong. Check it out in Cogni dot com 191 00:11:24,120 --> 00:11:26,200 Speaker 1: slash armstrong. Super affordable too, by the way. 192 00:11:26,360 --> 00:11:30,079 Speaker 2: So one of the problems with for instance, Elon and 193 00:11:30,200 --> 00:11:36,240 Speaker 2: this Dario Emodi from UH Andthropic yelling for regulations is 194 00:11:36,320 --> 00:11:40,439 Speaker 2: the libertarian mind and say, yeah, the big companies always 195 00:11:40,440 --> 00:11:44,440 Speaker 2: aren't regulations, so the little guys can't get in, which 196 00:11:44,480 --> 00:11:47,480 Speaker 2: is true, but in this case it might just be 197 00:11:47,720 --> 00:11:51,320 Speaker 2: we need regulations. This thing we're inventing is out of control. 198 00:11:51,679 --> 00:11:54,000 Speaker 2: One of the country's loudest voices of warning comes from 199 00:11:54,040 --> 00:11:57,880 Speaker 2: the AI industry itself, and Thropics chief executive, the trained 200 00:11:57,920 --> 00:12:01,680 Speaker 2: biologist Dario Amodi, who about the risks he saw in 201 00:12:01,760 --> 00:12:06,600 Speaker 2: AI development, including autonomous weapons and all this biological stuff 202 00:12:06,720 --> 00:12:10,040 Speaker 2: we were talking about. Biology is by far, by far 203 00:12:10,200 --> 00:12:12,400 Speaker 2: the area I'm most worried about, he said, because of 204 00:12:12,440 --> 00:12:14,960 Speaker 2: its very large potential for destruction and the difficulty of 205 00:12:15,000 --> 00:12:18,240 Speaker 2: defending against it. God, dang it. 206 00:12:18,800 --> 00:12:25,679 Speaker 1: Covid ah, yeah, yeah. 207 00:12:24,200 --> 00:12:26,679 Speaker 2: He said. He asked chat GPT to help him assemble 208 00:12:26,679 --> 00:12:29,520 Speaker 2: a pathogen that could cause mass death. The bot provided 209 00:12:29,559 --> 00:12:33,400 Speaker 2: accurate instructions, even outlining witch raw materials to buy. He 210 00:12:33,440 --> 00:12:36,800 Speaker 2: put the unassembled biological pieces into test tubes and packed 211 00:12:36,840 --> 00:12:39,040 Speaker 2: them in a box, which a colleague then brought to 212 00:12:39,080 --> 00:12:42,720 Speaker 2: a White House meeting on biological risks and said, I 213 00:12:42,800 --> 00:12:44,840 Speaker 2: did this off of chat GBT. I could put these 214 00:12:44,840 --> 00:12:49,120 Speaker 2: together and make something that could kill everybody in this room. Yeah. Wow. 215 00:12:49,200 --> 00:12:51,960 Speaker 1: Anthropic just asked the White House, Hey, can we give 216 00:12:52,000 --> 00:12:56,000 Speaker 1: that mytho system that's so incredible and dangerous to seventy 217 00:12:56,040 --> 00:12:58,480 Speaker 1: more people, bringing the total to about one hundred and twenty, 218 00:12:58,480 --> 00:13:02,080 Speaker 1: And the White White House said, oh, please, don't, please, 219 00:13:02,240 --> 00:13:03,120 Speaker 1: don't not yet. 220 00:13:03,400 --> 00:13:05,800 Speaker 2: Dang it. We're into a weird era where you've got 221 00:13:05,800 --> 00:13:10,520 Speaker 2: the federal government bagging a company don't release your product. 222 00:13:10,720 --> 00:13:12,400 Speaker 2: The world's not ready for it. We don't know what 223 00:13:12,400 --> 00:13:16,720 Speaker 2: to do with it. The sort of like science fiction 224 00:13:17,000 --> 00:13:20,000 Speaker 2: stuff I've read about how the government is going to 225 00:13:20,000 --> 00:13:25,000 Speaker 2: be subservient to these AI companies or their chatbots in 226 00:13:25,120 --> 00:13:25,880 Speaker 2: not too long. 227 00:13:26,600 --> 00:13:29,839 Speaker 1: That's kind of an example of it. There, robot dogs 228 00:13:29,840 --> 00:13:33,240 Speaker 1: with razor sharp teeth. Yep, that's familiar, familiar with the scenario. 229 00:13:34,480 --> 00:13:36,640 Speaker 2: God, what's that going to do to the stock market today? 230 00:13:36,679 --> 00:13:39,040 Speaker 2: Somebody releases one of these pathogens in a New York 231 00:13:39,080 --> 00:13:45,040 Speaker 2: subway and kills eighty thousand people. Me worried about the 232 00:13:45,040 --> 00:13:48,959 Speaker 2: stock market more than the people of course. Anyway, somebody 233 00:13:48,960 --> 00:13:55,560 Speaker 2: clicks say something encouraging or amusing. Yes, yes, thank you 234 00:13:55,600 --> 00:13:57,520 Speaker 2: for that, and we're all asked, thank you for that clip. 235 00:13:57,760 --> 00:14:00,240 Speaker 2: We need that every time we talk about AI. What 236 00:14:00,679 --> 00:14:07,760 Speaker 2: it did? What the type of a Yeah, I don't know, dear, 237 00:14:07,920 --> 00:14:12,360 Speaker 2: I don't know. You need to take a break, any thoughts. 238 00:14:12,360 --> 00:14:13,400 Speaker 2: Text Line four one. 239 00:14:18,880 --> 00:14:22,200 Speaker 4: King Charles and Queen Camilla were in New York City 240 00:14:25,800 --> 00:14:28,320 Speaker 4: and in honor of their visit, Times Square almost switched 241 00:14:28,320 --> 00:14:29,760 Speaker 4: from Jack Dannels to Crown Royal. 242 00:14:29,920 --> 00:14:34,640 Speaker 2: I thought that was that was classic. Yeah, and this. 243 00:14:34,560 --> 00:14:36,280 Speaker 4: Is classy in honor of the King and Queen being 244 00:14:36,320 --> 00:14:38,280 Speaker 4: here this morning. A cab driver flipping me off with 245 00:14:38,320 --> 00:14:39,480 Speaker 4: his pinkyapp Oh. 246 00:14:39,360 --> 00:14:44,320 Speaker 2: Yeah, thank you. I'm looking up at the TV ed 247 00:14:44,440 --> 00:14:48,560 Speaker 2: Shearon reveals shingles diagnosis. I hate to hear that, Sorry 248 00:14:48,560 --> 00:14:52,280 Speaker 2: to hear that. ED follow up briefly on this New 249 00:14:52,360 --> 00:14:57,040 Speaker 2: York Times article about the ability to create some sort 250 00:14:57,080 --> 00:15:04,120 Speaker 2: of horrible virus, pathogen whatever by using AI. It points 251 00:15:04,160 --> 00:15:06,680 Speaker 2: out that not just any dufists could go on there 252 00:15:06,680 --> 00:15:09,400 Speaker 2: and do it. You'd need to have some biological background. Okay, 253 00:15:09,520 --> 00:15:12,560 Speaker 2: big deal. We just saw a guy with an engineering 254 00:15:12,600 --> 00:15:16,120 Speaker 2: degree from cal Tech try to shoot the president. I mean, 255 00:15:16,120 --> 00:15:18,520 Speaker 2: so there's plenty of smart people out there that can 256 00:15:18,560 --> 00:15:22,800 Speaker 2: come up with horrible ideas. And anyway, you think Iran 257 00:15:22,880 --> 00:15:27,360 Speaker 2: doesn't have biologists, or Russia or China any who. They 258 00:15:27,440 --> 00:15:30,880 Speaker 2: mentioned that it almost happened fairly recently. I didn't hear 259 00:15:30,920 --> 00:15:34,480 Speaker 2: this story or remember it. In India, they arrested a 260 00:15:34,520 --> 00:15:37,400 Speaker 2: thirty five year old physician who was plotting an attack 261 00:15:37,680 --> 00:15:41,520 Speaker 2: on behalf of ISIS. He was a doctor, but he 262 00:15:41,600 --> 00:15:45,200 Speaker 2: believed in isis's goals, and he was trying to extract 263 00:15:45,320 --> 00:15:48,400 Speaker 2: rice in, a lethal toxin from castor beans. And he 264 00:15:48,480 --> 00:15:51,440 Speaker 2: had gotten all his advice on preparations how to dispense 265 00:15:51,440 --> 00:15:56,360 Speaker 2: it from AI, Google searches and chat GPT. So this 266 00:15:56,480 --> 00:16:00,520 Speaker 2: idea has come with people before. The thing to add 267 00:16:00,520 --> 00:16:03,680 Speaker 2: that I think is really interesting. Skeptics note that restricting 268 00:16:03,720 --> 00:16:08,400 Speaker 2: the biological capabilities of AI models would stifle all the 269 00:16:08,440 --> 00:16:10,520 Speaker 2: life saving not all of but a lot of the 270 00:16:10,560 --> 00:16:14,000 Speaker 2: life saving advances the medical research stuff that we keep 271 00:16:14,040 --> 00:16:17,840 Speaker 2: hearing about. One of the only pros that people throw 272 00:16:17,880 --> 00:16:22,560 Speaker 2: out about AIS. Oh, all the medical stuff it can do, well, 273 00:16:22,600 --> 00:16:26,040 Speaker 2: it's gonna be pretty hard to shut down the research 274 00:16:26,120 --> 00:16:29,360 Speaker 2: on making deadly viruses without shutting down the ability to 275 00:16:29,400 --> 00:16:32,920 Speaker 2: do research that help cure cancer and whatever else, Which 276 00:16:32,960 --> 00:16:36,360 Speaker 2: brings us back to the mythos product from Anthropic, which 277 00:16:36,400 --> 00:16:40,480 Speaker 2: they're essentially licensing to a very few entities that they 278 00:16:40,480 --> 00:16:43,560 Speaker 2: know can be trusted. But that brings us to the 279 00:16:43,920 --> 00:16:45,280 Speaker 2: the hacking problem. 280 00:16:45,360 --> 00:16:48,880 Speaker 1: If you are skilled enough at the arts of the 281 00:16:49,000 --> 00:16:52,480 Speaker 1: zeros and ones to do what a lot of hackers do, 282 00:16:53,200 --> 00:16:57,040 Speaker 1: how is it impossible that you would get into the 283 00:16:57,120 --> 00:17:00,680 Speaker 1: chosen ones? You know, so the Sloan caare or whatever 284 00:17:00,960 --> 00:17:05,280 Speaker 1: and gets access to this software because they could use 285 00:17:05,320 --> 00:17:06,000 Speaker 1: it responsibly. 286 00:17:06,480 --> 00:17:09,240 Speaker 2: Can they keep that safe? No doubt know, is the answered. 287 00:17:10,320 --> 00:17:14,440 Speaker 1: So will all soon be either bombed or or or pathogened? 288 00:17:14,880 --> 00:17:17,399 Speaker 1: And if you're not, you won't have a job. On 289 00:17:17,480 --> 00:17:19,640 Speaker 1: the other hand, I've never been more productive so. 290 00:17:20,880 --> 00:17:23,840 Speaker 2: And I've got a chatbott girlfriend that tells me every 291 00:17:23,920 --> 00:17:24,959 Speaker 2: night how much she loves me. 292 00:17:25,040 --> 00:17:29,159 Speaker 1: So I'm okay, wow, none of them either. It's just 293 00:17:29,240 --> 00:17:34,399 Speaker 1: I'm always right, lovely. Oh my god, you've just dispirited me. 294 00:17:34,560 --> 00:17:35,400 Speaker 1: I'm dispirited. 295 00:17:36,720 --> 00:17:39,959 Speaker 2: That is one of the more tangible, easy to understand 296 00:17:40,040 --> 00:17:40,960 Speaker 2: threats from AI. 297 00:17:42,080 --> 00:17:48,199 Speaker 1: Yet, and I thought you were saying about inflation. Dispirited me. 298 00:17:48,840 --> 00:17:52,159 Speaker 1: I still had some spirit left, which now you've you've 299 00:17:52,400 --> 00:17:53,240 Speaker 1: you've kicked out. 300 00:17:53,720 --> 00:17:56,760 Speaker 2: My spirit has flown. Or I'm strong and giddy crushing 301 00:17:56,800 --> 00:18:00,160 Speaker 2: your day. I'm I'm I'm a dead man walking. 302 00:18:01,760 --> 00:18:05,280 Speaker 1: Greatest argument I've heard against the idiotic billionaire's tax. I mean, 303 00:18:05,320 --> 00:18:08,760 Speaker 1: this is a good one. The only problem is dumb 304 00:18:08,760 --> 00:18:11,560 Speaker 1: people won't get it, and dumb people vote. We've got 305 00:18:11,600 --> 00:18:14,000 Speaker 1: to take the vote away from the dumb. 306 00:18:15,200 --> 00:18:18,240 Speaker 2: Stay with us, Armstrong and getty. 307 00:18:19,920 --> 00:18:25,320 Speaker 5: James Carville says Donald Trump can't be the Antichrist because. 308 00:18:25,040 --> 00:18:26,240 Speaker 2: He's too dumb. 309 00:18:26,920 --> 00:18:30,959 Speaker 5: Meanwhile, Carville thinks he's Jesus because everyone who sees his 310 00:18:31,000 --> 00:18:33,320 Speaker 5: face says, Jesus. 311 00:18:33,080 --> 00:18:43,560 Speaker 2: What happened? Sacrilegious? Yet to musing, oh my god, that's 312 00:18:44,560 --> 00:18:47,639 Speaker 2: it's just a base personal shot. Of your looks. 313 00:18:48,080 --> 00:18:54,040 Speaker 1: Yeah, yeah, that's Gutfeld is not exactly one of those 314 00:18:54,200 --> 00:18:57,600 Speaker 1: like super sophisticated comics. Dry is not his thing. 315 00:18:58,160 --> 00:19:05,040 Speaker 2: Jesus, Wow, well that's just a terrible joke. Why are 316 00:19:05,040 --> 00:19:05,680 Speaker 2: we laughing? Then? 317 00:19:06,720 --> 00:19:11,680 Speaker 1: Oh boy, so ah, gosh, golly, so much to get 318 00:19:11,720 --> 00:19:16,960 Speaker 1: to including and this is such a difficult, you know, 319 00:19:17,080 --> 00:19:22,240 Speaker 1: a designation to give. We may have identified the America's 320 00:19:22,280 --> 00:19:27,920 Speaker 1: stupidest congress person speaking of the dumb and voting. And 321 00:19:28,200 --> 00:19:30,119 Speaker 1: it's funny. We've talked about a couple of things today 322 00:19:30,760 --> 00:19:35,200 Speaker 1: prior to Jack's apocalyptic terrifying AI will kill us all screen, 323 00:19:36,400 --> 00:19:41,439 Speaker 1: about how there are very good, powerful arguments, for instance, 324 00:19:41,440 --> 00:19:43,320 Speaker 1: in favor of what the Supreme Court decided in the 325 00:19:43,359 --> 00:19:49,440 Speaker 1: Louisiana case yesterday, absolutely easy to understand if you give 326 00:19:49,520 --> 00:19:53,439 Speaker 1: me twenty seconds. But people don't think about things for 327 00:19:53,440 --> 00:19:56,600 Speaker 1: twenty seconds. They just knee jerk react to whatever seems 328 00:19:56,640 --> 00:19:58,639 Speaker 1: to be in their interest or what their their favorite 329 00:19:58,680 --> 00:20:02,080 Speaker 1: politician tells them to think, which is really discouraging. And 330 00:20:02,160 --> 00:20:05,960 Speaker 1: it's profoundly discouraging that in the great state of cal Unicornia, 331 00:20:06,320 --> 00:20:08,359 Speaker 1: the majority of voters are likely to vote in this 332 00:20:08,440 --> 00:20:11,119 Speaker 1: so called billionaire tax which is an unholy cash grab 333 00:20:11,400 --> 00:20:15,199 Speaker 1: by politically powerful unions and will devastate the state financially 334 00:20:15,640 --> 00:20:21,000 Speaker 1: within the near term. I mean it is, it's in 335 00:20:21,040 --> 00:20:23,520 Speaker 1: the long term. It's a horrifically bad idea, but it 336 00:20:23,520 --> 00:20:24,320 Speaker 1: will probably happen. 337 00:20:24,400 --> 00:20:28,560 Speaker 2: Anyway. Came across this, I thought it was terrific and 338 00:20:28,640 --> 00:20:30,679 Speaker 2: it's a French fellow. 339 00:20:30,960 --> 00:20:31,120 Speaker 3: Um. 340 00:20:32,520 --> 00:20:34,640 Speaker 2: Please don't dismiss him for that. It's not his fault 341 00:20:34,640 --> 00:20:35,280 Speaker 2: where he was born. 342 00:20:35,920 --> 00:20:38,639 Speaker 1: But he says, Elon Musk has said something that really 343 00:20:38,680 --> 00:20:41,919 Speaker 1: stuck with me about resource allocation. In essence, beyond a 344 00:20:41,920 --> 00:20:44,720 Speaker 1: certain level of wealth, money is no longer about consumption. 345 00:20:44,800 --> 00:20:48,800 Speaker 1: It's about capital allocation, and that sentence changes everything. Don't worry, 346 00:20:48,840 --> 00:20:50,679 Speaker 1: I'll get to the easy to understand part in a second. 347 00:20:51,280 --> 00:20:54,000 Speaker 1: Economics at its core is just an allocation problem. You 348 00:20:54,040 --> 00:20:57,800 Speaker 1: have finite resources and infinite uses. Who decides where goes 349 00:20:57,960 --> 00:21:02,399 Speaker 1: what goes where? Imagine school playground, one hundred kids packs 350 00:21:02,400 --> 00:21:05,040 Speaker 1: of Pokemon cards handed out at random. You let it 351 00:21:05,040 --> 00:21:08,119 Speaker 1: play out very quickly in order emerges. The good players 352 00:21:08,119 --> 00:21:11,840 Speaker 1: accumulate rare cards, the collectors sort, the negotiators strike deals. 353 00:21:12,119 --> 00:21:14,359 Speaker 1: No one planned it, and yet every card ends up 354 00:21:14,359 --> 00:21:16,000 Speaker 1: in the hands of the one who gets the most 355 00:21:16,119 --> 00:21:19,879 Speaker 1: value from it. The system maximizes the total happiness of 356 00:21:19,920 --> 00:21:23,000 Speaker 1: the playground. That's the invisible hand of economics Adam Smith, etc. 357 00:21:23,480 --> 00:21:26,160 Speaker 1: Now bring in the teacher. She finds it unfair. Leo 358 00:21:26,320 --> 00:21:30,439 Speaker 1: has fifty cards, Tom has three. She confiscates, redistributes and 359 00:21:30,520 --> 00:21:35,399 Speaker 1: forces equality. Three immediate effects. The good players stop playing. 360 00:21:35,520 --> 00:21:38,760 Speaker 1: What's the point? The bad ones have no reason to improve. 361 00:21:38,800 --> 00:21:42,359 Speaker 1: They'll get their share anyway. Trades collapse, The playground is 362 00:21:42,400 --> 00:21:46,440 Speaker 1: equal and dead. She maximized equality, and she destroyed happiness. 363 00:21:46,840 --> 00:21:49,000 Speaker 1: The teacher's problem is that she can't have the information 364 00:21:49,080 --> 00:21:51,959 Speaker 1: the playground has collectively. And we'll get to the billionaire tax. 365 00:21:52,000 --> 00:21:56,400 Speaker 1: Don't worry. That's Mise's economic calculation problem, which he formulated 366 00:21:56,400 --> 00:21:58,760 Speaker 1: in nineteen twenty. By the way, the USSR tried to 367 00:21:58,760 --> 00:22:01,120 Speaker 1: solve it for seventy years with their and he uses 368 00:22:01,160 --> 00:22:04,600 Speaker 1: the Soviet term result shortages. Lines collapse, not because the 369 00:22:04,600 --> 00:22:08,320 Speaker 1: Soviets are stupid, but because the problem is mathematically unsolvable 370 00:22:08,840 --> 00:22:12,040 Speaker 1: in a centralized mode. Here's where he gets to the 371 00:22:12,080 --> 00:22:15,040 Speaker 1: billionaire tax indirectly. Actually, he didn't even write this about this, 372 00:22:15,160 --> 00:22:19,760 Speaker 1: but about that. When Musk has two hundred billion dollars. 373 00:22:19,800 --> 00:22:25,560 Speaker 1: He doesn't consume it, he allocates it SpaceX, Starlink, Neuralink, XAI. 374 00:22:26,119 --> 00:22:28,199 Speaker 1: Every dollar is a bet on the future. And he 375 00:22:28,240 --> 00:22:32,240 Speaker 1: has a track record PayPal, Tesla, SpaceX. He's demonstrating he 376 00:22:32,280 --> 00:22:35,320 Speaker 1: knows how to spot massive problems and allocate resources to 377 00:22:35,359 --> 00:22:39,360 Speaker 1: them with spectacular returns. The state has a track record too, 378 00:22:39,880 --> 00:22:45,360 Speaker 1: hospitals collapsing, education declining, debt exploding, public services degrading despite 379 00:22:45,400 --> 00:22:46,880 Speaker 1: constantly rising budgets. 380 00:22:47,240 --> 00:22:50,880 Speaker 2: The mad built Oh my god, Yeah, there you go. 381 00:22:51,280 --> 00:22:56,639 Speaker 1: The market identifies good allocators, politics identifies good communicators. Hmmm, 382 00:22:57,040 --> 00:23:00,520 Speaker 1: and I would add pandurs and manipulation to that. 383 00:23:01,160 --> 00:23:04,440 Speaker 2: Profit isn't an end goal, it's a signal. 384 00:23:05,119 --> 00:23:07,439 Speaker 1: Here's the part that everybody ought to walk around with 385 00:23:07,880 --> 00:23:10,679 Speaker 1: the laminated card in their pocket to remind themselves of this. 386 00:23:11,320 --> 00:23:13,880 Speaker 2: Profit isn't an end goal, it's a signal. 387 00:23:14,000 --> 00:23:17,760 Speaker 1: It says you've allocated scarce resources to a use that 388 00:23:17,920 --> 00:23:21,720 Speaker 1: people value enough to pay for. The bigger the profit, 389 00:23:21,800 --> 00:23:25,679 Speaker 1: the greater the value created. When starlink turns profitable, it 390 00:23:25,720 --> 00:23:29,400 Speaker 1: means millions of people in rural areas finally have the Internet. 391 00:23:29,680 --> 00:23:32,600 Speaker 1: When a ministry runs a deficit. It means it's consuming 392 00:23:32,680 --> 00:23:36,359 Speaker 1: more than it produces. One creates, the other destroys and 393 00:23:36,400 --> 00:23:40,080 Speaker 1: what we call and we call that redistribution. In our society, 394 00:23:40,119 --> 00:23:43,760 Speaker 1: there are two categories of actors, entrepreneurs and bureaucrats. The 395 00:23:43,920 --> 00:23:47,640 Speaker 1: entrepreneurs takes personal risk to spot a problem, mobilized resources 396 00:23:47,680 --> 00:23:48,399 Speaker 1: create a solution. 397 00:23:48,720 --> 00:23:50,160 Speaker 2: If he's wrong, he loses. 398 00:23:50,280 --> 00:23:53,679 Speaker 1: If he's right, his customers win, his employees win, his 399 00:23:53,760 --> 00:23:58,240 Speaker 1: suppliers win, the state collects taxes. He's the basic cell 400 00:23:58,280 --> 00:24:01,560 Speaker 1: of human progress. I will pause at the end of 401 00:24:01,600 --> 00:24:04,800 Speaker 1: that three or your four sentences and point out that 402 00:24:04,920 --> 00:24:10,480 Speaker 1: person has been demonized, made the bad guy by the 403 00:24:10,560 --> 00:24:14,399 Speaker 1: Mumdanis of the world. You almost have to give him 404 00:24:14,440 --> 00:24:16,600 Speaker 1: credit for an unbelievable rhetorical trick. 405 00:24:16,800 --> 00:24:22,560 Speaker 2: If you gave that lesson in a high school, would 406 00:24:22,600 --> 00:24:26,800 Speaker 2: people find out and you'd be in trouble? I wonder 407 00:24:26,920 --> 00:24:30,200 Speaker 2: probably I would love to do. I mean, my son 408 00:24:30,240 --> 00:24:32,920 Speaker 2: goes to a private school. They actually do teach economics 409 00:24:33,000 --> 00:24:36,399 Speaker 2: that way at that school, but in the public school 410 00:24:36,480 --> 00:24:39,280 Speaker 2: they certainly don't. Probably wouldn't get in the door. 411 00:24:39,760 --> 00:24:42,040 Speaker 1: Or if it was, for instance, in California, in another 412 00:24:42,080 --> 00:24:44,680 Speaker 1: blue state, I might not be able to because the 413 00:24:45,760 --> 00:24:50,600 Speaker 1: curriculum guidelines. Anyway, I'm going to read that again real 414 00:24:50,680 --> 00:24:54,040 Speaker 1: quickly because it's so important. So you've got entrepreneurs and bureaucrats. 415 00:24:54,080 --> 00:24:57,080 Speaker 1: The entrepreneur takes personal risk to spot a problem, or 416 00:24:57,080 --> 00:25:00,959 Speaker 1: you might say, a need, mobilized resources and create a solution. 417 00:25:01,119 --> 00:25:02,240 Speaker 2: If he's wrong, he loses. 418 00:25:02,320 --> 00:25:05,439 Speaker 1: If he's right, his customers win, his employees win, his 419 00:25:05,480 --> 00:25:08,400 Speaker 1: suppliers win, the state clex taxes. He's the basic cell 420 00:25:08,400 --> 00:25:12,000 Speaker 1: of human progress. The bureaucrat takes no personal risk. His 421 00:25:12,119 --> 00:25:16,000 Speaker 1: salary is guaranteed. At best, he maintains an existing rent. 422 00:25:16,280 --> 00:25:20,119 Speaker 1: At worst, he destroys it through overregulation, forced bad allocation, 423 00:25:20,480 --> 00:25:23,840 Speaker 1: perverse incentives that discourage those who produce, but in no 424 00:25:24,040 --> 00:25:27,520 Speaker 1: case does he create. Then he goes into a bunch 425 00:25:27,560 --> 00:25:30,040 Speaker 1: of examples and points out that his own country, France 426 00:25:30,240 --> 00:25:34,400 Speaker 1: has become the world's laboratory for bureaucratic drift. Fifty seven 427 00:25:34,440 --> 00:25:37,680 Speaker 1: percent of GDP and public spending an absolute record, a 428 00:25:37,760 --> 00:25:42,000 Speaker 1: sprawling administration, a tax system that penalizes wealth creation, result 429 00:25:42,119 --> 00:25:47,359 Speaker 1: falling behind the US, Germany, Switzerland, brain drain, deindustrialization, exploding debt, 430 00:25:47,880 --> 00:25:51,399 Speaker 1: and the worst part is that bad allocation self reinforces. 431 00:25:51,720 --> 00:25:56,040 Speaker 1: The more the state takes the less entrepreneurs create. The 432 00:25:56,160 --> 00:25:58,879 Speaker 1: less they create, the less tax base there is, the 433 00:25:58,920 --> 00:26:02,440 Speaker 1: more the state borrows and pays tax and taxes perfect 434 00:26:02,480 --> 00:26:06,120 Speaker 1: negative feedback loop. The teacher thinks she's helping, and every 435 00:26:06,240 --> 00:26:10,160 Speaker 1: year the playground produces less. In our societies, it's always 436 00:26:10,200 --> 00:26:14,400 Speaker 1: the entrepreneurs who advanced civilization. Bureaucrats at best maintain a rent, 437 00:26:14,520 --> 00:26:17,640 Speaker 1: at worst, they destroy it. No society has ever progressed 438 00:26:17,640 --> 00:26:20,960 Speaker 1: by taxing its creators to subsidize its managers. 439 00:26:21,560 --> 00:26:22,480 Speaker 2: The question is. 440 00:26:22,560 --> 00:26:26,080 Speaker 1: Never who has how much, it's who allocates the next 441 00:26:26,160 --> 00:26:30,520 Speaker 1: unit of resources best to maximize humanity's future. The answer 442 00:26:30,560 --> 00:26:34,160 Speaker 1: hasn't changed in two hundred years. It's not the civil servants. 443 00:26:34,840 --> 00:26:36,240 Speaker 1: That's one of the best things I've ever read. 444 00:26:36,359 --> 00:26:41,280 Speaker 2: Yeah, it's really good, and it should be and not 445 00:26:41,400 --> 00:26:46,160 Speaker 2: bud And it only takes on me why you shouldn't 446 00:26:46,200 --> 00:26:49,440 Speaker 2: tax people that have proven that they're good with allocating 447 00:26:49,480 --> 00:26:52,080 Speaker 2: money that benefits at all, but benefits as all. You 448 00:26:52,160 --> 00:26:54,280 Speaker 2: got the other angle of it, too, where it's not 449 00:26:54,320 --> 00:26:56,840 Speaker 2: going to be a one time tax. Every tax starts 450 00:26:56,840 --> 00:26:59,880 Speaker 2: as a just temporarily for one time and for this 451 00:27:00,040 --> 00:27:03,320 Speaker 2: crowd and it always expands to more people and lasts 452 00:27:03,359 --> 00:27:05,000 Speaker 2: longer every single time. 453 00:27:05,640 --> 00:27:08,600 Speaker 1: That's why every culture and language I think has a 454 00:27:08,640 --> 00:27:12,600 Speaker 1: metaphor for the bad idea that will let in a 455 00:27:12,680 --> 00:27:16,080 Speaker 1: little bit the cabble's nose under the tent, et cetera. 456 00:27:18,359 --> 00:27:20,240 Speaker 1: Before you know what, you're sleeping with a damn camel, 457 00:27:20,280 --> 00:27:25,159 Speaker 1: which is unsavory at best. Yeah, yeah, and I remember 458 00:27:25,160 --> 00:27:27,440 Speaker 1: I came up with this years and years again ago. 459 00:27:27,640 --> 00:27:32,439 Speaker 1: Rather it may be the only reasonable important thing I've 460 00:27:32,440 --> 00:27:34,080 Speaker 1: ever said, but I'll hit you with it in a 461 00:27:34,080 --> 00:27:36,639 Speaker 1: second afterward from our friends at rough Greens who identified 462 00:27:36,640 --> 00:27:37,120 Speaker 1: a problem. 463 00:27:37,440 --> 00:27:39,960 Speaker 2: Your dog's nutrition is just okay. 464 00:27:40,520 --> 00:27:43,320 Speaker 1: But you don't have to buy some crazy expensive new food. 465 00:27:43,760 --> 00:27:47,040 Speaker 1: You just want to add rough Greens that promotes longevity 466 00:27:47,040 --> 00:27:50,480 Speaker 1: by addressing common nutritional deficiencies found in processed dog food. 467 00:27:50,640 --> 00:27:53,800 Speaker 2: Yep. 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That's are you ffgreens dot com like 477 00:28:21,080 --> 00:28:22,040 Speaker 2: the sound of dog. 478 00:28:21,960 --> 00:28:26,680 Speaker 1: Makes that's charming. Roughgreens dot com. Ruff Greens dot Com. 479 00:28:26,760 --> 00:28:30,439 Speaker 1: Use that promo code Armstrong. It's all about helping your 480 00:28:30,440 --> 00:28:34,399 Speaker 1: dog live a happier, healthier life. Roughgreens dot com promo 481 00:28:34,400 --> 00:28:36,640 Speaker 1: code Armstrong. Don't change your dog's food, just add rough Greens. 482 00:28:36,640 --> 00:28:38,080 Speaker 1: Watch the health benefits come a lot. 483 00:28:38,200 --> 00:28:40,240 Speaker 2: I think I'm going to start wearing a red ribbon 484 00:28:40,600 --> 00:28:44,280 Speaker 2: to signify solidarity with Edsharon having shingles. 485 00:28:44,840 --> 00:28:48,920 Speaker 1: It's a painful and terrible disease. Get your shingles shot today, 486 00:28:48,960 --> 00:28:50,880 Speaker 1: brought to you by you don't want freaking shingles. 487 00:28:51,000 --> 00:28:53,200 Speaker 2: I thought it generally happened to older people than Ed Sharon. 488 00:28:53,600 --> 00:28:57,360 Speaker 2: He seems a little young. Yeah, yeah, agreed. So I 489 00:28:57,400 --> 00:28:59,360 Speaker 2: came up with this a number of years ago. It's probably, 490 00:28:59,400 --> 00:29:01,400 Speaker 2: you know, based on what other people have said, but 491 00:29:01,880 --> 00:29:05,640 Speaker 2: we were talking about some expensive government program and if 492 00:29:05,680 --> 00:29:11,520 Speaker 2: you want to create a charity, a government program that feeds, clothes, medicates, 493 00:29:11,680 --> 00:29:17,240 Speaker 2: and educates fifty families for the rest of their lives. 494 00:29:18,840 --> 00:29:23,360 Speaker 2: Start a business, work hard, make it successful, get fifty employees. Bingo, 495 00:29:23,400 --> 00:29:23,880 Speaker 2: you've done it. 496 00:29:24,960 --> 00:29:28,480 Speaker 1: The idea that to do that is a train on society, 497 00:29:28,840 --> 00:29:32,240 Speaker 1: as Barack Obama said, or the horrific Jerry Brown, those 498 00:29:32,240 --> 00:29:35,920 Speaker 1: who've extracted more from the public wealth. 499 00:29:36,560 --> 00:29:39,880 Speaker 2: Good God, We've got to teach our children. That's exactly wrong. 500 00:29:41,240 --> 00:29:44,920 Speaker 1: I carrm a bit by bit inch by inch. Marxism 501 00:29:45,040 --> 00:29:49,400 Speaker 1: creeps in like the camel's nose under the tent, a 502 00:29:49,480 --> 00:29:50,280 Speaker 1: Marxist camel. 503 00:29:50,320 --> 00:29:56,760 Speaker 2: I hate them. There it is asking. Luckily, one hundred 504 00:29:56,840 --> 00:29:59,720 Speaker 2: chefs got together and made the world's largest tier in Massou. 505 00:30:00,680 --> 00:30:03,920 Speaker 2: Among other things that we can get to that are 506 00:30:03,960 --> 00:30:05,720 Speaker 2: more important coming up on the show Stay here. 507 00:30:07,120 --> 00:30:13,480 Speaker 6: Armstrong Plate nineteen eighty, flying from San Francisco to San Diego, 508 00:30:13,600 --> 00:30:15,960 Speaker 6: was on approach to land at Lindberg Field, flying around 509 00:30:15,960 --> 00:30:18,680 Speaker 6: four thousand feet when pilots reported what appeared to be 510 00:30:18,680 --> 00:30:20,840 Speaker 6: a small, bright red drone flying nearby. 511 00:30:21,200 --> 00:30:24,760 Speaker 2: I believe I just saw the thick of red and 512 00:30:25,240 --> 00:30:28,760 Speaker 2: fall optic. Think about about the feet below. 513 00:30:28,560 --> 00:30:31,320 Speaker 6: Us to our right, There were initial reports about a 514 00:30:31,320 --> 00:30:34,760 Speaker 6: potential collision, but it now appears the suspected drone likely 515 00:30:34,800 --> 00:30:37,520 Speaker 6: passed below the plane. Drones are not supposed to fly 516 00:30:37,600 --> 00:30:39,440 Speaker 6: above four hundred feet, so it should not have been 517 00:30:39,480 --> 00:30:42,360 Speaker 6: anywhere near an airline or descending to land. But it 518 00:30:42,400 --> 00:30:43,000 Speaker 6: does happen. 519 00:30:44,240 --> 00:30:46,360 Speaker 2: Yeah, well that kind of gets to my I never 520 00:30:46,360 --> 00:30:48,040 Speaker 2: get it when I hear these stores and so and 521 00:30:48,080 --> 00:30:50,400 Speaker 2: so it is going to start delivering their pizzas van drone. 522 00:30:50,680 --> 00:30:52,959 Speaker 2: How we're just gonna add no air taxes? How were 523 00:30:52,880 --> 00:30:54,760 Speaker 2: we going to have all these things flying through the air, 524 00:30:55,400 --> 00:30:57,320 Speaker 2: just not crashing into each other getting in the way. 525 00:30:57,360 --> 00:31:02,160 Speaker 2: Planes are all kinds of different things. Tables, zones, elevations. 526 00:31:02,160 --> 00:31:05,680 Speaker 2: Will we and you'll keep people in those zones? How sure? 527 00:31:05,840 --> 00:31:08,600 Speaker 2: I will? Somehow you local pizzeria is going to stay 528 00:31:08,600 --> 00:31:13,520 Speaker 2: in the correct zone. How Hey, another airline madness news. 529 00:31:13,920 --> 00:31:17,320 Speaker 7: This one's resulting in criminal charges. This was Monday night. 530 00:31:17,360 --> 00:31:19,440 Speaker 7: A Delta plane was on the tarmac. 531 00:31:19,480 --> 00:31:22,240 Speaker 2: Okay, how will you say about the late? Already three 532 00:31:22,320 --> 00:31:24,920 Speaker 2: four hours and now you're talking another Get me to 533 00:31:25,000 --> 00:31:29,200 Speaker 2: the gate. I want off, or I'll take my shelf off. Okay, 534 00:31:29,920 --> 00:31:34,840 Speaker 2: there you go, he's coming. Oh my god. 535 00:31:35,760 --> 00:31:40,320 Speaker 7: The passenger opens the cabin door. Fortunately the emergency slide 536 00:31:40,360 --> 00:31:43,000 Speaker 7: did not deploy, but that got a one way ticket 537 00:31:43,040 --> 00:31:46,800 Speaker 7: back to the gate and law enforcement. He facing federal 538 00:31:46,920 --> 00:31:49,040 Speaker 7: charges now of interfering with a flight croup. 539 00:31:49,680 --> 00:31:52,520 Speaker 1: So he got his way and federal charges he got 540 00:31:52,520 --> 00:31:53,200 Speaker 1: back to the gate. 541 00:31:53,320 --> 00:31:54,880 Speaker 2: Who can this man is a hero. 542 00:31:55,600 --> 00:31:58,200 Speaker 8: Yes, he opens the door and you hear all the 543 00:31:58,560 --> 00:31:59,960 Speaker 8: oh my god, and he turned around away. 544 00:32:00,120 --> 00:32:04,040 Speaker 2: Oh my god, that's. 545 00:32:04,080 --> 00:32:06,680 Speaker 1: It because they sounded like Peter Griffin on the Family Guy. 546 00:32:06,960 --> 00:32:08,880 Speaker 1: Oh my god, who cares? 547 00:32:09,360 --> 00:32:13,480 Speaker 2: That's funny, Like, oh, lighten up, shut up, we're in 548 00:32:13,560 --> 00:32:14,120 Speaker 2: the ground. 549 00:32:14,240 --> 00:32:16,720 Speaker 1: Gee, you've been sitting here like sheep for three hours. 550 00:32:16,760 --> 00:32:19,520 Speaker 1: They just told us it's gonna be another hour late back. 551 00:32:19,400 --> 00:32:21,200 Speaker 2: To the f and gate. My only question is why 552 00:32:21,240 --> 00:32:23,239 Speaker 2: doesn't this happen more often? And why don't we have 553 00:32:23,280 --> 00:32:25,800 Speaker 2: more rights about this. I've been in that situation before 554 00:32:26,040 --> 00:32:30,000 Speaker 2: with little kids. You're holding me hostage. Let me off 555 00:32:30,040 --> 00:32:34,280 Speaker 2: this freaking plane. It's ridiculous. Yeah, And it's all to 556 00:32:34,400 --> 00:32:38,640 Speaker 2: satisfy various box checking of well, we officially left the 557 00:32:38,640 --> 00:32:40,800 Speaker 2: gate on time because we pulled away from the gate, 558 00:32:40,880 --> 00:32:42,840 Speaker 2: so that goes in as a statistic as an on 559 00:32:43,000 --> 00:32:45,800 Speaker 2: time flight. If we go back, it will be a 560 00:32:45,880 --> 00:32:48,120 Speaker 2: late flight and we don't want that statistic. So we're 561 00:32:48,160 --> 00:32:50,680 Speaker 2: gonna make you sit here in a hot plane, can't 562 00:32:50,800 --> 00:32:54,280 Speaker 2: use a bathroom, no services for three hours, rather than 563 00:32:54,560 --> 00:32:56,120 Speaker 2: pull up to the gate, let you get off and 564 00:32:56,160 --> 00:32:58,560 Speaker 2: walk around, you know, an airport full of bars and 565 00:32:58,600 --> 00:33:02,840 Speaker 2: restaurants and be comfortab well. I freaking hate that. Yeah, yeah, 566 00:33:02,880 --> 00:33:05,280 Speaker 2: I think everybody does. Can you believe we don't have 567 00:33:05,280 --> 00:33:11,320 Speaker 2: more rights around that that have been forced? AnyWho who 568 00:33:11,400 --> 00:33:14,120 Speaker 2: has been to an Arawan grocery store? Have you ever been, Katie? 569 00:33:15,080 --> 00:33:15,160 Speaker 5: No? 570 00:33:16,000 --> 00:33:19,920 Speaker 2: What arawon grocery store in La? If you've been, you know, 571 00:33:20,000 --> 00:33:23,280 Speaker 2: it's not one of those maybe before. Yeah, it's it's 572 00:33:23,520 --> 00:33:27,280 Speaker 2: nowhere nowhere spelled backwards kind of. Oh okay, it's like 573 00:33:27,560 --> 00:33:33,680 Speaker 2: it's hoity toity, right. Oh, it is the most unbelievable. 574 00:33:33,680 --> 00:33:37,120 Speaker 2: There's I think twelve locations, but the most popular ones 575 00:33:37,160 --> 00:33:40,040 Speaker 2: are like at the Grove and uh, that's the one 576 00:33:40,040 --> 00:33:42,480 Speaker 2: I've been to because if you're more likely to see 577 00:33:42,480 --> 00:33:45,400 Speaker 2: celebrities there than practically anywhere in Los Angeles. But it 578 00:33:45,520 --> 00:33:48,480 Speaker 2: is unreal if you're ever in Los Angeles, as you know, 579 00:33:48,600 --> 00:33:51,160 Speaker 2: like on a trip go to an Arawon grocery store. 580 00:33:51,240 --> 00:33:54,120 Speaker 2: I mean it's worth it is like a side venture 581 00:33:54,520 --> 00:33:59,200 Speaker 2: just to see. It's insane. They got fifty different kinds 582 00:33:59,200 --> 00:34:03,480 Speaker 2: of bespoke peanut butter. I mean it blows your mind. 583 00:34:03,600 --> 00:34:05,800 Speaker 8: I'm on their website right now. They have roasted almond 584 00:34:05,880 --> 00:34:07,760 Speaker 8: butter for a mere twenty one dollars. 585 00:34:07,760 --> 00:34:11,120 Speaker 2: It's expensive. Yeah, and their third deli area is like 586 00:34:11,160 --> 00:34:15,320 Speaker 2: a five star restaurant for one thing. For the Grocyti Katie, 587 00:34:15,360 --> 00:34:18,959 Speaker 2: we don't want poor people like yourself in the store's 588 00:34:19,160 --> 00:34:21,640 Speaker 2: it's it's truly cool. It's fun, it's nice and uh 589 00:34:22,440 --> 00:34:25,840 Speaker 2: but I was written this article in the California Post. 590 00:34:25,880 --> 00:34:27,959 Speaker 2: The New York Post now is how's a California version 591 00:34:27,960 --> 00:34:31,400 Speaker 2: about la Singles are flocking to lux West Coast grocer 592 00:34:31,480 --> 00:34:34,560 Speaker 2: Erawon to get dates. It's better than the apps, say 593 00:34:34,640 --> 00:34:37,319 Speaker 2: young people. I feel like that. I feel like this 594 00:34:37,360 --> 00:34:40,440 Speaker 2: is a completely contrived story, that it's not any different 595 00:34:40,480 --> 00:34:42,439 Speaker 2: now than it was a month ago or a year ago. 596 00:34:42,760 --> 00:34:45,879 Speaker 2: But I've never quite understood, and I am a single guy. 597 00:34:46,480 --> 00:34:48,680 Speaker 2: The people who say, oh yeah, great place to meet 598 00:34:48,719 --> 00:34:52,040 Speaker 2: people's the grocery store. What's your opening line to someone 599 00:34:52,040 --> 00:34:54,879 Speaker 2: who's shopping for the groceries that doesn't annoy the hell 600 00:34:54,920 --> 00:34:57,440 Speaker 2: out of them. I tell you what the opening line is. 601 00:34:58,480 --> 00:35:01,520 Speaker 1: You've noticed I'm really a track, so it doesn't matter 602 00:35:01,560 --> 00:35:02,680 Speaker 1: what my opening line is. 603 00:35:03,360 --> 00:35:05,440 Speaker 2: That's what it is. It's pretty much if you're like 604 00:35:05,440 --> 00:35:06,680 Speaker 2: a super stud. 605 00:35:07,239 --> 00:35:09,600 Speaker 1: You can say, I don't know how to tell when 606 00:35:09,640 --> 00:35:14,080 Speaker 1: these are ripe or gosh, these are expensive or high. 607 00:35:14,719 --> 00:35:18,520 Speaker 1: It doesn't matter because you're really good looking, right, That's 608 00:35:18,560 --> 00:35:20,480 Speaker 1: what I assumed it's got to be. Because other than that, 609 00:35:20,560 --> 00:35:23,960 Speaker 1: I got to think that most of the time, most 610 00:35:25,080 --> 00:35:27,239 Speaker 1: not men, because men are a different beast, but most 611 00:35:27,239 --> 00:35:29,680 Speaker 1: women would be highly annoyed to be hit on at. 612 00:35:29,560 --> 00:35:33,719 Speaker 2: The grocery store. Unless you're really good looking. Katie, you're 613 00:35:33,760 --> 00:35:38,279 Speaker 2: a one. I would just irritate me. Yeah, to be honest, Yeah, 614 00:35:38,360 --> 00:35:42,920 Speaker 2: irritate the hell out of you. You're there, you're after work, 615 00:35:42,920 --> 00:35:43,919 Speaker 2: You're trying to grab some things. 616 00:35:43,920 --> 00:35:47,160 Speaker 1: You gotta make dinner. Whatever, Get out of here, you creep. 617 00:35:47,880 --> 00:35:51,840 Speaker 1: How about nice melons or show me your hands? 618 00:35:53,000 --> 00:35:58,600 Speaker 2: No, might work. People are sensuous. Vegetables are sensual. That's 619 00:35:58,640 --> 00:36:00,360 Speaker 2: from animal house you have. 620 00:36:05,160 --> 00:36:06,960 Speaker 8: Yeah, I usually when I'm in the grocery store. I'm 621 00:36:06,960 --> 00:36:10,120 Speaker 8: irritated because I've been stuck behind someone who's on their phone, 622 00:36:10,200 --> 00:36:12,239 Speaker 8: just standing right in the middle of the aisle with 623 00:36:12,280 --> 00:36:14,880 Speaker 8: their cart, so then trying to talk to me after that, 624 00:36:15,000 --> 00:36:17,080 Speaker 8: it's just don't Oh. 625 00:36:16,920 --> 00:36:19,680 Speaker 2: My god, oh my god. That that reminds me the 626 00:36:19,719 --> 00:36:22,319 Speaker 2: other day. I've got a local grocery store. I won't 627 00:36:22,320 --> 00:36:23,840 Speaker 2: mention the name of it because I love it, but 628 00:36:24,200 --> 00:36:28,800 Speaker 2: the customer service is fantastic there. Uh, just just the greatest. 629 00:36:29,080 --> 00:36:31,920 Speaker 2: I ran into my first grumpy employee ever, who is 630 00:36:31,960 --> 00:36:35,920 Speaker 2: a jerk and uh and uh. I didn't know if 631 00:36:36,000 --> 00:36:38,160 Speaker 2: I should say anything to management or not. I didn't 632 00:36:38,920 --> 00:36:40,759 Speaker 2: do I want to be that person or not, because 633 00:36:40,800 --> 00:36:43,440 Speaker 2: I guarantee you management wants to know. This place is 634 00:36:43,640 --> 00:36:47,600 Speaker 2: known for their employees being so friendly. I want to say, 635 00:36:47,719 --> 00:36:51,239 Speaker 2: I've been coming here for damn near thirty years. Ran 636 00:36:51,320 --> 00:36:53,839 Speaker 2: into the first unpleasant employee I've ever run into. 637 00:36:53,880 --> 00:36:53,920 Speaker 6: It. 638 00:36:54,000 --> 00:36:55,439 Speaker 2: Just thought you might want to know, would that would 639 00:36:55,480 --> 00:36:57,680 Speaker 2: they like that? Or does that make me a bad person? 640 00:36:57,760 --> 00:36:58,960 Speaker 2: Or maybe he was having an off day. 641 00:36:59,320 --> 00:37:01,799 Speaker 8: I'm going I would say, if you go in there 642 00:37:01,840 --> 00:37:03,799 Speaker 8: and he does it again, then maybe say something. 643 00:37:03,800 --> 00:37:05,319 Speaker 2: He could have just been having a bad day could 644 00:37:05,360 --> 00:37:05,640 Speaker 2: have been. 645 00:37:06,280 --> 00:37:08,400 Speaker 1: Yeah, I would tend to be merciful and think that'll 646 00:37:08,400 --> 00:37:09,359 Speaker 1: work itself out. 647 00:37:09,640 --> 00:37:12,320 Speaker 2: But I don't know. I don't know. If i'm the imployer. 648 00:37:12,360 --> 00:37:14,719 Speaker 2: I want to know that you drive your car out. 649 00:37:14,760 --> 00:37:16,759 Speaker 8: I'm always doing a cart run in the parking lot. 650 00:37:16,880 --> 00:37:18,520 Speaker 2: Yeah, you're right. I should have waited in the car 651 00:37:18,600 --> 00:37:20,520 Speaker 2: until he got off work. That's the way to handle it. 652 00:37:20,520 --> 00:37:22,800 Speaker 2: It's the matter with you. If you miss a segment, 653 00:37:22,840 --> 00:37:28,480 Speaker 2: get the podcast Armstrong and Getty on demand Armstrong and 654 00:37:28,520 --> 00:37:28,880 Speaker 2: Getty