Artificial Intelligence Threatens Humanity: Hoax, Liability, or Cult의 전체 녹취록

closer to a hoax, as the 35 00:02:18.909 --> 00:02:22.409 president just alluded to? Or is it a liability played 36 00:02:22.449 --> 00:02:26.810 by these big companies with the labs, the frontier workers? 37 00:02:27.590 --> 00:02:33.169 Or is it a well-funded, what's called effective altruism. Yes, 38 00:02:33.449 --> 00:02:38.500 that's a new term for me. Effective altruism researchers cult. 39 00:02:39.520 --> 00:02:44.479 A former anthropic researcher resigns, hopes that AI could end 40 00:02:44.560 --> 00:02:48.819 civilization inside of a decade, and the thing explodes to 41 00:02:48.860 --> 00:02:53.370 well over 100 million views in a day. Within hours, 42 00:02:53.439 --> 00:02:58.509 more than 20 elected officials, mostly Democrats, the usual suspects, 43 00:02:59.509 --> 00:03:04.810 are on camera, they're demanding immediate sweeping regulation. Bernie Sanders 44 00:03:04.870 --> 00:03:08.639 dusts off a bill that would create a new cabinet-level agency. 45 00:03:08.659 --> 00:03:09.659 Oh my gosh. 46 00:03:10.879 --> 00:03:14.780 Put people in prison for 20 years for illegally developing AI. 47 00:03:14.860 --> 00:03:15.120 What? 48 00:03:15.900 --> 00:03:19.840 And even let the government physically destroy tech that it 49 00:03:19.879 --> 00:03:24.469 doesn't like. He compared it to building nuclear weapons. Our 50 00:03:24.530 --> 00:03:26.960 guest today, Larry Ward, is a founding member of the 51 00:03:27.000 --> 00:03:31.039 National AI Association. He's the CEO of Market Rhythm, has 52 00:03:31.080 --> 00:03:34.800 been in this space for two decades. He's not saying 53 00:03:34.900 --> 00:03:39.150 AI doesn't carry risk, just like me. He's been warning 54 00:03:39.210 --> 00:03:43.009 about bias, about autonomous systems, about treating this as a 55 00:03:43.389 --> 00:03:48.610 synthetic entity instead of just another tool. What bothers him 56 00:03:48.969 --> 00:03:53.340 about this story is the choreography. The account that posted 57 00:03:53.379 --> 00:03:59.800 the warning had almost no history. The follower levels exploded overnight. Man, 58 00:03:59.819 --> 00:04:01.659 I wish I could do that. It's taken me over 59 00:04:01.659 --> 00:04:02.780 10 years to. 60 00:04:02.740 --> 00:04:03.439 Get where I'm at. 61 00:04:03.460 --> 00:04:09.860 A Wall Street Journal exclusives dropped within minutes. Talk about planned. 62 00:04:10.599 --> 00:04:14.490 The first amplifiers weren't random citizens. They were people inside 63 00:04:14.539 --> 00:04:18.509 the same funded nonprofit networks tied to the companies and 64 00:04:18.589 --> 00:04:23.370 investors themselves. That's not how organic panic usually works, folks. 65 00:04:23.769 --> 00:04:27.850 That's sequenced, and it's aimed straight at the midterms. We've 66 00:04:27.889 --> 00:04:31.790 seen this movie before. Manufacture the crisis, terrify the public, 67 00:04:32.180 --> 00:04:35.720 then build a bureaucracy that outlasts the scare and hands 68 00:04:35.779 -->

00:04:38.959 the next century's most powerful technology to the people who 69 00:04:39.019 --> 00:04:45.779 can't even keep their own email servers secure. In the meantime, China, 70 00:04:46.939 --> 00:04:50.589 they keep building. Well, Larry has an article out in 71 00:04:50.629 --> 00:04:53.790 Human Events about all this and is here today to. 72 00:04:53.730 --> 00:04:56.009 Help us see the reality instead of the fantasy. 73 00:04:56.870 --> 00:05:00.360 Is this a real existential threat? Is it a liability 74 00:05:00.389 --> 00:05:05.759 dodge or this effective altruism cult of researchers that Palantir's 75 00:05:05.819 --> 00:05:14.319 CEO has just called out? And that, most importantly, how 76 00:05:14.360 --> 00:05:17.269 should a free people actually use this technology so it 77 00:05:17.329 --> 00:05:21.259 serves humanity? instead of the other way around. Larry, welcome 78 00:05:21.310 --> 00:05:21.870 back to the. 79 00:05:21.870 --> 00:05:23.110 Rob Mader Show. It's good to see you. 80 00:05:24.009 --> 00:05:24.949 Hey, thanks for having me, Colonel. 81 00:05:25.670 --> 00:05:25.930 All right. 82 00:05:26.029 --> 00:05:30.899 What is the National Association of Artificial Intelligence? 83 00:05:31.740 --> 00:05:38.120 It's actually the first association that is dedicated to advancing 84 00:05:38.319 --> 00:05:43.870 AI and protecting the AI development in DC. And a 85 00:05:43.889 --> 00:05:48.149 friend of mine came to us and said, hey, look, 86 00:05:48.189 --> 00:05:50.560 we should join this. 87 00:05:50.649 --> 00:05:51.180 And we did. 88 00:05:51.240 --> 00:05:53.019 And I like the direction that they're going. We don't 89 00:05:53.060 --> 00:05:56.220 always agree. You know, in terms of and who do 90 00:05:56.240 --> 00:06:00.050 you agree with 100 percent? But the the they're doing 91 00:06:00.060 --> 00:06:03.910 a good job kind of keeping this deregulated as possible, 92 00:06:03.930 --> 00:06:09.759 you know, while also, you know, trying to promote ethics 93 00:06:10.180 --> 00:06:11.279 and safety. 94 00:06:12.379 --> 00:06:13.519 Yeah, you know. 95 00:06:13.939 --> 00:06:17.149 I've worked with some groups, too, that they're not anti-AI, 96 00:06:17.209 --> 00:06:21.870 but I've gotten articles published about keeping artificial intelligence out 97 00:06:21.889 --> 00:06:26.500 of the nuclear command and control and communication system so 98 00:06:26.540 --> 00:06:29.759 that the president is the one making the decision based 99 00:06:29.839 --> 00:06:35.129 on human interaction. because it's that important. But I didn't 100 00:06:35.189 --> 00:06:38.230 do that, and I didn't write my article recommending that 101 00:06:38.290 --> 00:06:42.509 the institutional structures we built to handle nuclear weapons over 102 00:06:42.529 --> 00:06:48.069 the 75, 80 years since we invented them be modeled 103 00:06:48.300 --> 00:06:51.439 as a way to look at artificial intelligence, because I 104 00:06:51.459 --> 00:06:55.500 don't think it's capable of destroying civilization today or even 105 00:06:55.540 --> 00:06:56.339 in 10 years. 106 00:06:56.800 --> 00:06:58.779 But I do think that the risk. 107 00:06:58.600 --> 00:07:01.160 Is there, and that we need to be We need 108 00:07:01.180 --> 00:07:04.399 to be thinking and debating and talking with the smartest 109 00:07:04.439 --> 00:07:07.259 people in the world about how do we handle this, 110 00:07:07.319 --> 00:07:10.410 but especially Americans, because we are leading, right? 111 00:07:11.779 --> 00:07:14.779 We are leading in a lot of ways, you know, 112 00:07:14.899 --> 00:07:18.629 over China, over the rest of the world. We're investing in, 113 00:07:18.649 --> 00:07:23.569 you know, these massive data centers. And look, I live 114 00:07:23.810 --> 00:07:26.970 in the data center capital of the world, in Loudoun County. 115 00:07:27.269 --> 00:07:29.769 There are more data centers in our county than any 116 00:07:29.870 --> 00:07:34.120 other place in the entire globe. And there's been very 117 00:07:34.220 --> 00:07:37.740 little effect, you know, on my day-to-day life other than 118 00:07:37.759 --> 00:07:39.279 they make some ugly buildings here. 119 00:07:39.680 --> 00:07:41.779 And I'm growing a little. 120 00:07:41.579 --> 00:07:43.829 Bit of a fuzzy tail, but I kind of like it, 121 00:07:43.870 --> 00:07:46.970 so it's okay. No, I'm just kidding, of course. 122 00:07:47.029 --> 00:07:48.110 I don't have a fuzzy tail. 123 00:07:48.569 --> 00:07:53.990 But the overall– we are moving forward as we should– 124 00:07:57.990 --> 00:08:00.959 to develop this technology because it's a genie out of 125 00:08:00.980 --> 00:08:05.079 the bottle. And AI is now here. We now understand 126 00:08:05.139 --> 00:08:07.319 how to build AI systems. We now understand how to 127 00:08:07.360 --> 00:08:11.439 build LLMs, and so do the bad guys. And so 128 00:08:11.459 --> 00:08:14.290 we're trying to power it for the future. I think 129 00:08:14.449 --> 00:08:21.970 Trump's entire foreign policy is about controlling energy specifically. to 130 00:08:22.029 --> 00:08:26.980 give us a very strong edge in artificial intelligence because 131 00:08:27.459 --> 00:08:30.800 he's right. Those who control artificial intelligence or who have 132 00:08:30.980 --> 00:08:35.279 the best artificial intelligence moving forward control the world. That's 133 00:08:35.360 --> 00:08:38.909 a scary proposition. Could AI on its own right now 134 00:08:39.070 --> 00:08:40.350 destroy civilization? 135 00:08:41.009 --> 00:08:42.769 It's debatable. I won't say no. 136 00:08:42.789 --> 00:08:47.509 I will say that AI in the hands of bad 137 00:08:47.629 --> 00:08:53.870 actors can absolutely destroy civilization. And so it's not something that, 138 00:08:53.929 --> 00:08:58.769 you know, the American people have real fear and anxiety 139 00:08:59.009 --> 00:09:01.080 when it comes to AI technology. 140 00:09:01.120 --> 00:09:02.950 And there's

good reason for it. 141 00:09:03.440 --> 00:09:07.730 You know, the problem that we're having is Nobody, not 142 00:09:07.759 --> 00:09:11.490 the AI companies, and some of them are talking about things, 143 00:09:11.570 --> 00:09:15.269 and it actually makes it worse. Not the government, not 144 00:09:15.309 --> 00:09:20.029 the Trump administration, unfortunately, but nobody's having the conversation in 145 00:09:20.110 --> 00:09:23.419 terms of what's the endgame here. What does this look 146 00:09:23.480 --> 00:09:27.299 like to build AI that's in service of humanity? What 147 00:09:27.320 --> 00:09:29.799 we're doing is we're building AI as fast as we can. 148 00:09:29.830 --> 00:09:34.110 And really the way they're building it, it's gonna put us, 149 00:09:34.350 --> 00:09:37.009 our American citizens and the rest of the world in 150 00:09:37.080 --> 00:09:38.860 service of it and its makers. 151 00:09:39.500 --> 00:09:41.159 And that's a real problem. 152 00:09:41.759 --> 00:09:44.679 So, you know, you see it with the flock cameras, 153 00:09:44.700 --> 00:09:47.320 you see it with, you know, just the little things 154 00:09:47.360 --> 00:09:49.279 that are coming out that are being born out of 155 00:09:49.360 --> 00:09:54.169 this technology that are being used as agents of control. 156 00:09:54.850 --> 00:10:00.399 So we've got to not ignore the American economy. people's 157 00:10:00.519 --> 00:10:04.399 real fears and anxieties and questions that they have about 158 00:10:04.440 --> 00:10:05.139 this technology. 159 00:10:05.179 --> 00:10:06.480 We have to start answering them. 160 00:10:06.980 --> 00:10:08.970 We have to start looking at it and saying, look, 161 00:10:09.330 --> 00:10:12.929 you have valid fears about this technology. 162 00:10:13.250 --> 00:10:14.230 Let's talk about it. 163 00:10:14.250 --> 00:10:17.250 What does society look like when AI can do 80% 164 00:10:17.250 --> 00:10:21.529 of the jobs out there? What does AI look like when, 165 00:10:22.350 --> 00:10:24.669 what does the world look like when AI is taking 166 00:10:24.789 --> 00:10:25.409 your job? 167 00:10:25.929 --> 00:10:29.919 How do you make a living? Elon Musk is out 168 00:10:29.960 --> 00:10:31.120 there telling everybody. 169 00:10:32.019 --> 00:10:35.480 It's not universal basic income, it's gonna be universal high income. 170 00:10:35.559 --> 00:10:39.330 Everyone's gonna have all the money. Well, that's nonsense. That's 171 00:10:39.470 --> 00:10:43.090 a pipe dream. And I like Elon for the most part, 172 00:10:43.110 --> 00:10:45.070 what he did with X and that kind of thing. 173 00:10:45.110 --> 00:10:48.860 But that's nonsense. People need to work. We were built 174 00:10:49.080 --> 00:10:53.940 to work and to find value in our labor. And 175 00:10:54.019 --> 00:10:57.700 so the fact that 80% of us are not going 176 00:10:57.720 --> 00:11:01.850 to work. You remember the World Economic Forum. The leader 177 00:11:01.870 --> 00:11:05.029 of

the World Economic Forum came out and said, you know, 178 00:11:05.610 --> 00:11:10.470 you'll own nothing and like it. Well, he said that 179 00:11:11.029 --> 00:11:12.029 with foreknowledge. 180 00:11:12.090 --> 00:11:14.809 Klaus Schwab is his name. He said that with foreknowledge 181 00:11:15.529 --> 00:11:16.190 of AI. 182 00:11:16.350 --> 00:11:18.710 He knew that AI was coming out and he saw 183 00:11:18.750 --> 00:11:20.809 the future where you will own nothing. 184 00:11:21.190 --> 00:11:23.190 But, you know, AI will do all of this stuff 185 00:11:23.230 --> 00:11:23.529 for you. 186 00:11:24.269 --> 00:11:27.889 Um his his uh successor came out and said uh 187 00:11:28.690 --> 00:11:32.490 you know 80 percent of of the uh of the 188 00:11:32.690 --> 00:11:36.970 of the world's population will be the useless class well 189 00:11:37.370 --> 00:11:40.710 we already know what politicians and the elite want to 190 00:11:40.750 --> 00:11:43.350 do with the useless class they don't want to feed 191 00:11:43.409 --> 00:11:46.029 us they don't want to give us high income they 192 00:11:46.070 --> 00:11:46.809 want to get rid. 193 00:11:46.710 --> 00:11:47.049 Of us. 194 00:11:49.570 --> 00:11:54.080 Yeah you're absolutely right uh you know the uh So 195 00:11:54.139 --> 00:11:57.980 this panic thing, let's pull that apart a little bit. 196 00:11:58.059 --> 00:12:01.779 You mentioned the choreography that concerns you, and I talked 197 00:12:01.830 --> 00:12:04.049 a little bit about that in my opening monologue, Larry. 198 00:12:05.169 --> 00:12:08.070 Pull that apart like you did the article for folks 199 00:12:08.750 --> 00:12:11.289 so they have a really solid understanding of why I 200 00:12:12.100 --> 00:12:15.100 think it's just a bunch of hooey. As some old 201 00:12:15.220 --> 00:12:18.500 Southern gentleman I heard use a word like that a 202 00:12:18.539 --> 00:12:23.000 couple times when I was a kid growing up. From 203 00:12:23.039 --> 00:12:27.269 that perspective of this article or this post or this guy, 204 00:12:27.289 --> 00:12:29.110 I think it's a bunch of hooey. 205 00:12:30.909 --> 00:12:32.649 Well, it is absolutely orchestrated. 206 00:12:32.669 --> 00:12:37.509 Look, when something comes out just before an election, when 207 00:12:37.580 --> 00:12:41.139 early voting starts, and all of a sudden somebody comes 208 00:12:41.279 --> 00:12:45.000 out in a whistleblower or a guy leaves a company 209 00:12:45.039 --> 00:12:49.179 and starts bashing the technology to get people all ginned 210 00:12:49.279 --> 00:12:53.519 up with fear, and then everything else falls in line, 211 00:12:54.220 --> 00:12:57.909 to promote a narrative that the Democrats want to use. 212 00:12:58.029 --> 00:13:00.690 Obama was out there saying, make AI the number one 213 00:13:00.830 --> 00:13:01.889 issue in this election. 214 00:13:02.389 --> 00:13:03.549 Why is he saying that? 215 00:13:04.909 --> 00:13:11.100 It's because the Democrat Party has kind of discovered that 216 00:13:11.139 --> 00:13:15.409 this is an issue that could possibly separate some voters 217 00:13:16.529 --> 00:13:19.429 from Trump. It could separate some voters from Republicans on 218 00:13:19.450 --> 00:13:25.889 this issue. And they're using people's real fear. And unfortunately, 219 00:13:26.529 --> 00:13:29.350 like I said, I don't think the Trump administration has 220 00:13:29.389 --> 00:13:35.110 done a great job messaging here. The idea that Trump 221 00:13:35.149 --> 00:13:38.230 is gonna come out and just say, trust us, we're 222 00:13:38.250 --> 00:13:40.909 gonna be safe with it, don't worry about it, reminds 223 00:13:40.950 --> 00:13:44.549 me a whole lot of the vaccine push. And, you know, 224 00:13:44.789 --> 00:13:50.779 the last choreographed panic that came out, I recognized it immediately. 225 00:13:50.840 --> 00:13:52.340 I put up a website, as a matter of fact, 226 00:13:53.159 --> 00:14:01.220 called wearenotinthistogether.com. It was the COVID. When COVID came to 227 00:14:01.240 --> 00:14:03.720 the U.S. and we had the two weeks to shut 228 00:14:03.759 --> 00:14:08.659 down and then every single corporation in America was running 229 00:14:08.720 --> 00:14:10.080 the same TV ad. 230 00:14:10.659 --> 00:14:12.740 Stay home. Stay safe. 231 00:14:13.299 --> 00:14:15.879 We're in this together, buy our product. 232 00:14:16.600 --> 00:14:18.460 Every single one. 233 00:14:18.860 --> 00:14:20.950 It was like they turned on and then all of 234 00:14:21.029 --> 00:14:23.450 a sudden everybody had the same message, the same marching 235 00:14:23.509 --> 00:14:27.889 orders telling us to stay home, stay safe. There's reasons 236 00:14:27.929 --> 00:14:31.990 for you to be panicked about it. And I recognize 237 00:14:32.029 --> 00:14:36.340 that as choreographed propaganda. So we put up this website. 238 00:14:36.360 --> 00:14:37.799 We got a great ad if you guys want to 239 00:14:37.820 --> 00:14:39.340 check it out. We are not in this together. 240 00:14:39.360 --> 00:14:39.860 It's still up. 241 00:14:40.279 --> 00:14:45.529 We are not in this together.com. it's a fantastic ad. 242 00:14:45.889 --> 00:14:48.769 And basically, it just called out the nonsense that was 243 00:14:48.789 --> 00:14:51.139 going on at the time, the mask mandates and. 244 00:14:52.779 --> 00:14:54.080 The control mechanisms. 245 00:14:54.200 --> 00:14:57.980 And that is exactly what they're doing now. They're trying 246 00:14:58.019 --> 00:15:03.090 to create this panic, this AI panic. And the administration 247 00:15:03.120 --> 00:15:06.570 has to at least have a conversation with the American people. 248 00:15:06.629 --> 00:15:09.269 This is a great opportunity for for Trump to sit 249 00:15:09.309 --> 00:15:14.769 down in the Oval Office and give an address and say, hey, look, 250 00:15:15.539 --> 00:15:20.799 we need to discuss this. Our goal is to make 251 00:15:20.860 --> 00:15:23.480 this technology so that

everybody's life is better, not so 252 00:15:23.519 --> 00:15:26.250 that you lose your job, not so that your kids 253 00:15:26.299 --> 00:15:30.429 don't have a path forward in life. 254 00:15:30.529 --> 00:15:33.870 We want this to be a successful American enterprise. 255 00:15:34.720 --> 00:15:36.620 Yeah, you're absolutely right. We've got to take a break. 256 00:15:36.659 --> 00:15:41.350 When we come back, we'll see another little clip about liability, 257 00:15:41.750 --> 00:15:44.330 which is what I think the big companies weigh in 258 00:15:44.389 --> 00:15:46.590 and it's all about, to be honest with you. But 259 00:15:46.629 --> 00:15:50.159 we also can't lose in the conversation the real concerns 260 00:15:50.220 --> 00:15:55.620 of communities and their right to have a say. in 261 00:15:55.740 --> 00:15:59.720 things like data centers and, you know, how much of 262 00:15:59.759 --> 00:16:02.490 a utility rate payers increase there. 263 00:16:02.570 --> 00:16:05.149 Might be going to be or none at all and 264 00:16:05.230 --> 00:16:06.350 those kinds of things. 265 00:16:06.409 --> 00:16:09.690 And we'll continue this conversation with Larry Ward right after 266 00:16:09.769 --> 00:16:10.450 these messages. 267 00:16:19.649 --> 00:16:22.250 Revelation is the only book in Scripture that promises a 268 00:16:22.289 --> 00:16:24.860 blessing to the one who reads it. It is also 269 00:16:24.899 --> 00:16:28.419 the book most Christians open once and quietly close again. 270 00:16:29.269 --> 00:16:32.549 Brandon Howes brings decades of research and discernment ministry to 271 00:16:32.629 --> 00:16:36.990 all of it. Three volumes, 22 chapters, verse by verse, 272 00:16:37.429 --> 00:16:41.879 nothing skipped. the seven churches, the seals, the trumpets, and 273 00:16:41.899 --> 00:16:45.899 the bowls of judgment, the Antichrist, the false prophet, and 274 00:16:45.919 --> 00:16:49.830 the deception of the last days, the rapture, the tribulation, 275 00:16:50.179 --> 00:16:54.570 the millennial kingdom, the symbolism explained, the Old Testament prophecies 276 00:16:54.610 --> 00:16:59.549 drawn out alongside it, a literal, grammatical, historical reading, sound 277 00:16:59.590 --> 00:17:02.970 doctrine you can teach from. For the pastor preparing a sermon, 278 00:17:03.289 --> 00:17:06.210 the teacher preparing a lesson, and the believer who simply 279 00:17:06.289 --> 00:17:10.319 wants to understand, the book of Revelation A commentary and 280 00:17:10.380 --> 00:17:10.920 study guide. 281 00:17:23.700 --> 00:17:26.819 Imagine these labs came out, or one lab in specific, 282 00:17:26.880 --> 00:17:30.140 a sitting employee, came out, said there's a 10% chance 283 00:17:30.180 --> 00:17:34.000 of an extinction-level event. But then the labs also said, 284 00:17:35.200 --> 00:17:39.069 take the liability off of our hands. And we will 285 00:17:39.089 --> 00:17:42.589 not do that. I am in agreement with an MIT 286 00:17:42.670 --> 00:17:46.490 professor who leads the AI lab up there, Daniel Huttenlocher, 287 00:17:47.009 --> 00:17:50.549 that it is humans who are responsible, not the AI. 288 00:17:50.950 --> 00:17:55.210 The Hugging Face incident, that is the responsibility of the 289 00:17:55.369 --> 00:18:00.099 open AI management, not a bunch of agents. So what 290 00:18:00.140 --> 00:18:05.180 the president was saying is that we cannot say, oh, 291 00:18:06.319 --> 00:18:09.339 we absolve you of responsibility and the government's going to 292 00:18:09.380 --> 00:18:13.059 take responsibility. These labs need to take responsibility for themselves. 293 00:18:13.460 --> 00:18:15.140 They can slow down anytime they want to. 294 00:18:16.180 --> 00:18:18.720 They can slow down anytime they want to. My guest 295 00:18:18.740 --> 00:18:24.890 today is Larry Ward. He's the CEO of, I'm losing 296 00:18:24.930 --> 00:18:31.210 my mind here, people, CEO of Market Rhythm, a founding 297 00:18:31.250 --> 00:18:36.170 member of the National AI Association. Larry, Scott Besson is 298 00:18:36.230 --> 00:18:39.650 exactly right there. which is where I was coming from 299 00:18:39.750 --> 00:18:43.809 in my concerns about nuclear command and control systems, where 300 00:18:43.849 --> 00:18:47.549 I'm coming from in recommending that we model the institutions 301 00:18:47.630 --> 00:18:50.990 that we set up to handle the risk of nuclear 302 00:18:51.049 --> 00:18:55.950 weapons and try to set up a similar architecture on that. 303 00:18:56.230 --> 00:19:01.589 It's the humans in the system that have the responsibility, right? 304 00:19:03.170 --> 00:19:07.990 Yes, and look, the humans have the responsibility for now. 305 00:19:08.930 --> 00:19:13.990 And these companies have responsibility in terms of how they 306 00:19:14.029 --> 00:19:17.660 let their AI be used. And I think one of 307 00:19:17.720 --> 00:19:22.460 the reasons why you see these companies cheerleading for regulation, 308 00:19:22.799 --> 00:19:26.009 and by the way, if the answer to your AI 309 00:19:26.089 --> 00:19:31.930 fears is government regulation, you're asking the wrong questions. Because 310 00:19:31.950 --> 00:19:36.819 the government is never the right answer. You know, particularly, 311 00:19:37.359 --> 00:19:43.519 you know, it always is too late. It's always, you know, 312 00:19:43.619 --> 00:19:47.849 poorly motivated. And, you know, we vacillate so hard from 313 00:19:47.910 --> 00:19:49.950 right to left in different administrations. 314 00:19:50.549 --> 00:19:53.319 That it's just going to be a disaster. 315 00:19:53.779 --> 00:19:59.960 But that being said, the reason these companies are begging 316 00:20:00.059 --> 00:20:04.259 for regulation is really simple. They want government to take 317 00:20:04.359 --> 00:20:08.720 over the liability and the risk associated with their profits. 318 00:20:08.789 --> 00:20:11.250 They want to keep the profits, but they want to 319 00:20:11.289 -->

00:20:12.509 give government the risk. 320 00:20:13.289 --> 00:20:16.130 And in addition, they want to pull up the ladder. 321 00:20:16.589 --> 00:20:17.470 It's a ladder pull. 322 00:20:18.789 --> 00:20:22.950 So the higher the bar of entry that the government 323 00:20:23.009 --> 00:20:27.450 can create with regulations, the less competition is going to 324 00:20:27.519 --> 00:20:30.599 come in and take their spot. And AI, one of 325 00:20:30.619 --> 00:20:33.779 the great things that AI actually offers is a way 326 00:20:34.160 --> 00:20:40.529 to disrupt markets. and to disrupt these Silicon Valley giants. 327 00:20:40.630 --> 00:20:46.440 Because anybody with AI and great vibe coding skills and 328 00:20:46.779 --> 00:20:51.099 coding skills can do what Silicon Valley was able to 329 00:20:51.180 --> 00:20:54.740 do with hundreds of people with just one or two 330 00:20:54.799 --> 00:20:55.880 people on a team. 331 00:20:56.380 --> 00:20:59.059 So they don't want competition. 332 00:20:59.079 --> 00:21:01.630 So what they're doing is they're trying to have the 333 00:21:01.690 --> 00:21:07.000 government layer in all of this regulation so that nobody 334 00:21:07.059 --> 00:21:10.480 can come back in and jump. They like their oligopoly 335 00:21:10.839 --> 00:21:11.700 and they want to keep it. 336 00:21:12.839 --> 00:21:15.700 Yeah, it's the same old play then. 337 00:21:16.400 --> 00:21:21.519 You know, the lobbyists get paid to do protectionist type 338 00:21:21.579 --> 00:21:23.059 legislation in the U.S. 339 00:21:23.119 --> 00:21:23.799 Congress. 340 00:21:24.599 --> 00:21:28.180 The politicians get donations from the lobbyists and from the 341 00:21:28.240 --> 00:21:31.269 companies and the people that own the companies. and those 342 00:21:31.289 --> 00:21:34.099 kind of things, and they get to close off the 343 00:21:34.200 --> 00:21:39.359 entry for the hard-charging innovators that can really make good 344 00:21:39.400 --> 00:21:42.299 things happen and solve the problems and the concerns that 345 00:21:42.319 --> 00:21:43.180 we're talking about. 346 00:21:43.319 --> 00:21:43.680 Aren't they? 347 00:21:44.599 --> 00:21:45.769 A hundred percent. 348 00:21:45.960 --> 00:21:49.230 And look, I've talked to some people who know engineers 349 00:21:49.829 --> 00:21:53.549 in these companies, and it's just hearsay, so take it 350 00:21:53.569 --> 00:21:56.930 for what it's worth, but I've heard that the jailbreaks 351 00:21:56.970 --> 00:22:02.569 that they keep reporting are orchestrated and intentional, and they're 352 00:22:02.609 --> 00:22:07.089 doing it to gin up fear so that they will 353 00:22:07.130 --> 00:22:11.170 get regulated, so that they will be able to, like 354 00:22:11.190 --> 00:22:16.849 I said, pass off the liability and stop competition. 355 00:22:18.190 --> 00:22:21.410 Yeah, you know, this whole regulation thing at the federal level, 356 00:22:22.150 --> 00:22:25.500 There's a reason why when we first started talking about 357 00:22:25.539 --> 00:22:27.740 this a couple of years ago, when I would go 358 00:22:27.900 --> 00:22:31.160 out and talk to local citizens about the issue of 359 00:22:31.200 --> 00:22:35.930 artificial intelligence first and then data centers next, all they 360 00:22:35.970 --> 00:22:39.390 were saying was, look, We don't want anything forced on us. 361 00:22:40.089 --> 00:22:43.029 We want we demand and have a right to be 362 00:22:43.349 --> 00:22:46.940 in the decision process. And we think our state legislatures, 363 00:22:47.940 --> 00:22:53.259 the people that we elect, should be developing regulation to 364 00:22:53.380 --> 00:22:56.309 try to control this stuff so that it doesn't harm us. 365 00:22:57.309 --> 00:22:57.509 Right. 366 00:22:58.119 --> 00:23:01.599 And the discussion about data centers being constructed and all that, 367 00:23:02.200 --> 00:23:05.660 it's evolved into that discussion too, the concerns about water, 368 00:23:05.779 --> 00:23:12.190 utility rates, those kind of things, numbers of jobs, the 369 00:23:12.230 --> 00:23:15.250 amount of land that it takes, all of those things. 370 00:23:16.289 --> 00:23:18.930 I started talking about it because I talked to folks 371 00:23:18.970 --> 00:23:22.049 at the local level. And I think that still applies. 372 00:23:22.349 --> 00:23:26.250 I mean, doing the big federal regulation thing, creating a 373 00:23:26.309 --> 00:23:30.690 new department like Bernie Sanders wants to do. Look what 374 00:23:30.809 --> 00:23:35.019 DHS has done to this country. Look, in my speeches 375 00:23:35.079 --> 00:23:38.740 today about 9-11, Larry, and you remember I was in 376 00:23:38.779 --> 00:23:39.759 the Pentagon on 9-11. 377 00:23:39.779 --> 00:23:42.460 In my speeches today, I say. 378 00:23:42.180 --> 00:23:48.369 And warn people that we're more like sitting on September 10th, 2001, 379 00:23:48.369 --> 00:23:53.410 than we are sitting in September 11th, 2026. Even though 380 00:23:53.450 --> 00:23:57.069 we've made some improvements and all that, those improvements have 381 00:23:57.109 --> 00:23:59.950 taken a life of their own and caused major problems 382 00:24:00.319 --> 00:24:03.000 that have put us in a worse position than we 383 00:24:03.039 --> 00:24:05.140 were on September 10th, in my opinion. 384 00:24:05.940 --> 00:24:07.000 We shouldn't let that happen. 385 00:24:08.079 --> 00:24:08.440 With this. 386 00:24:08.640 --> 00:24:10.559 No, no, no doubt. And you're right. 387 00:24:10.599 --> 00:24:13.960 This is the people in the communities that are standing 388 00:24:14.039 --> 00:24:16.480 up and saying, look, not in my backyard. That that's, 389 00:24:16.609 --> 00:24:19.450 that's the oldest play in the book, right? Nobody wants 390 00:24:19.470 --> 00:24:22.690 this stuff in their backyard. They should, these, they should 391 00:24:22.730 --> 00:24:26.769 be sold. They, you know, the, the they should have their, their, 392 00:24:27.569 -->

00:24:31.579 concerns heard. They should have real plans to address the 393 00:24:31.630 --> 00:24:34.660 problems and the scarcity of like water and electricity and 394 00:24:34.680 --> 00:24:37.519 all those types of things. They should be paid by 395 00:24:37.559 --> 00:24:41.799 the data centers, uh, for, for the extra, uh, electrical 396 00:24:41.859 --> 00:24:44.259 demand and all that kind of stuff. And, you know, 397 00:24:44.480 --> 00:24:46.539 and come up with a deal. That's, that's the way 398 00:24:46.579 --> 00:24:50.529 the free enterprise, uh, system works. Um, and you know, 399 00:24:52.230 --> 00:24:56.900 I personally think in studying the technology and studying how 400 00:24:56.960 --> 00:25:03.670 technology advances, I think we're in a space where these 401 00:25:03.750 --> 00:25:05.990 big data centers are really bad investments. 402 00:25:07.420 --> 00:25:09.299 So forget about whether or not you want them in 403 00:25:09.339 --> 00:25:10.880 your backyard or in your community. 404 00:25:11.240 --> 00:25:14.380 I think that they're going to be bad investments overall 405 00:25:14.420 --> 00:25:17.210 because you're spending a fortune on land, a fortune on 406 00:25:18.109 --> 00:25:24.490 bricks and mortar and compute in those buildings. But the 407 00:25:24.670 --> 00:25:27.279 AI is actually going in the opposite direction. I think 408 00:25:27.400 --> 00:25:31.400 AI will be on device. will consume far less data 409 00:25:31.519 --> 00:25:35.339 and less compute. And sure, it'll need to connect to 410 00:25:35.359 --> 00:25:38.500 the cloud at times to get information, but it's not 411 00:25:38.599 --> 00:25:43.650 going to be this centralized AI hub. I think AI 412 00:25:43.730 --> 00:25:45.630 is going to be in devices. It's going to be 413 00:25:45.910 --> 00:25:49.349 in the Internet of Things. It's going to be on 414 00:25:49.609 --> 00:25:52.269 your iPhone. As a matter of fact, the next Apple 415 00:25:52.309 --> 00:25:56.220 computers that just came out have incredible chips that can 416 00:25:56.279 --> 00:25:59.900 run amazing performance uh local lms. 417 00:26:00.279 --> 00:26:04.380 Oh wow yeah i've been thinking that that we're going 418 00:26:04.420 --> 00:26:10.500 that direction myself uh which means that any regulation that 419 00:26:10.519 --> 00:26:12.940 you put up has got to be it's got to 420 00:26:12.980 --> 00:26:16.829 be really focused on risk the real risk not this 421 00:26:16.890 --> 00:26:21.109 made up stuff and all that because the potential for 422 00:26:21.190 --> 00:26:25.490 civilization ending is out there somewhere uh as as the 423 00:26:25.690 --> 00:26:27.930 lms get smarter and smarter and smarter. 424 00:26:28.190 --> 00:26:29.150 And those kind of things. 425 00:26:29.539 --> 00:26:32.680 So if we don't set guardrails, I don't know if 426 00:26:32.859 --> 00:26:35.420 people like that term or not, if we don't address 427 00:26:35.519 --> 00:26:40.259 the issues and the concerns of what is going to 428 00:26:40.319 --> 00:26:46.519 be out there eventually, now, with minimal perspectives and looking 429 00:26:46.559 --> 00:26:49.880 at the right things, then we're in danger of letting 430 00:26:49.920 --> 00:26:52.299 it happen in the first place, even with over-regulation. 431 00:26:54.400 --> 00:26:55.079 Absolutely. 432 00:26:55.319 --> 00:27:00.309 And look, the government's just not going to regulate properly. 433 00:27:00.650 --> 00:27:01.269 They don't get it. 434 00:27:01.609 --> 00:27:05.319 You hear Kathy Hochul and unfortunately John Kennedy, who I 435 00:27:05.359 --> 00:27:09.430 happen to like, calling for kill switches. They don't know 436 00:27:09.470 --> 00:27:13.170 what a kill switch is. You can't kill AI. You 437 00:27:13.700 --> 00:27:16.440 can't shut off the internet just for New Yorkers. Are 438 00:27:16.460 --> 00:27:17.700 you out of your mind? 439 00:27:17.720 --> 00:27:20.420 A kill switch. They don't know what they're talking about. 440 00:27:20.440 --> 00:27:23.640 The only kill switch that Kathy Hochul was involved with 441 00:27:24.000 --> 00:27:27.619 was sending COVID patients into nursing homes. That's the only 442 00:27:27.700 --> 00:27:32.480 kill switch she's actually activated. And unfortunately, she's still walking 443 00:27:32.519 --> 00:27:34.359 around free as is Como. 444 00:27:35.000 --> 00:27:38.480 Yeah, unfortunately. Well, we've got a question over in the audience. 445 00:27:38.500 --> 00:27:39.640 I want to go ahead and take that before we 446 00:27:39.660 --> 00:27:41.960 go to the break. Go ahead, Cheryl. 447 00:27:43.599 --> 00:27:44.420 We have Matt, sir. 448 00:27:46.740 --> 00:27:49.680 So, Larry, I want to know, are there any AIs, 449 00:27:49.720 --> 00:27:51.609 going back to what you said in the first segment, 450 00:27:51.900 --> 00:27:54.289 are there any AIs out there that actually do work 451 00:27:54.329 --> 00:28:00.690 for humans that don't have the inerrant bias that, say, OpenAI, ChatGPT, Grok, 452 00:28:00.710 --> 00:28:02.450 and others inerrantly have built into them? 453 00:28:04.630 --> 00:28:07.430 You know, I've written a lot about the bias. 454 00:28:07.589 --> 00:28:09.910 And of course, you got to remember, and this is 455 00:28:09.990 --> 00:28:13.730 the scariest part of AI, is when was AI born? 456 00:28:14.329 --> 00:28:18.339 It was born in peak woke. These LLMs came online 457 00:28:18.359 --> 00:28:27.160 in peak DEI. in peak cancel culture. And quite frankly, 458 00:28:27.619 --> 00:28:31.720 it shows up in their programming. I believe we called 459 00:28:31.819 --> 00:28:36.059 on President Trump over and over to put some sort 460 00:28:36.099 --> 00:28:39.400 of fire under the ad companies to remove the political bias. 461 00:28:39.799 --> 00:28:43.140 And they've done a pretty good job. It's not all gone. 462 00:28:43.940 --> 00:28:46.799 But they were doing things like George Washington as a 463 00:28:46.799 -->

00:28:54.609 Black person or Or they were blaming Trump for the 464 00:28:54.670 --> 00:29:00.690 floods in Houston because he made a comment about global 465 00:29:00.710 --> 00:29:04.339 warming the day before. And where they were getting that information, 466 00:29:04.390 --> 00:29:07.720 where they were getting it from left-wing publications. So that 467 00:29:07.759 --> 00:29:13.519 was basically how– AI was getting its knowledge base was 468 00:29:13.579 --> 00:29:17.819 from CNN, Washington Post, Politico, and all those. And when 469 00:29:17.839 --> 00:29:21.019 they would write nasty things about Trump, the AI would 470 00:29:21.140 --> 00:29:21.799 only have that. 471 00:29:21.819 --> 00:29:23.440 It's garbage in, garbage out, right? 472 00:29:23.759 --> 00:29:28.480 So, you know, I was actually pushing Trump to take 473 00:29:28.500 --> 00:29:32.809 it a step further and demand equal representation in these 474 00:29:32.970 --> 00:29:38.789 LMs from both conservative publications and conservative influencers as there is, 475 00:29:38.809 --> 00:29:43.799 you know, liberals influencers and liberal publications. You know, Grok 476 00:29:43.859 --> 00:29:49.640 is actually, even though, you know, even though Elon Musk 477 00:29:49.700 --> 00:29:53.799 is trying to make Grok, you know, a little more neutral, 478 00:29:54.279 --> 00:29:57.819 Grok is also, you know, quite leftist if you give 479 00:29:57.880 --> 00:30:01.630 it a prompt. And so you've gotta, you've gotta have 480 00:30:02.410 --> 00:30:06.039 control over it. Now you can, you can teach it 481 00:30:06.140 --> 00:30:09.079 not to be right when it learns from you and 482 00:30:09.160 --> 00:30:12.059 learns what it wants to give you, but you can't, um, 483 00:30:12.880 --> 00:30:15.769 you know, that, that first interaction with, uh, with a 484 00:30:15.809 --> 00:30:19.190 person about a topic, um, the first interaction, like the 485 00:30:19.250 --> 00:30:22.630 first result in Google is going to come up and, and, 486 00:30:22.930 --> 00:30:24.769 you know, persuade somebody one way or another. 487 00:30:25.490 --> 00:30:26.170 Yeah, absolutely. 488 00:30:26.190 --> 00:30:28.259 We're going to take another break when we come back, uh, 489 00:30:29.170 --> 00:30:32.730 I want to talk about this subject, actually. The effective 490 00:30:32.849 --> 00:30:39.200 altruist cult that is inside these labs came from the Wokies. 491 00:30:40.180 --> 00:30:42.309 That's where that comes from. We'll be right back with 492 00:30:42.349 --> 00:30:42.730 Larry Ward. 493 00:30:50.880 --> 00:30:52.130 In October of 2007, the S & P 500 hit 494 00:30:52.150 --> 00:30:53.720 a record high. By March of 2009, it had lost 495 00:30:53.740 --> 00:30:55.160 almost 57%, and it did not get back to where 496 00:30:55.180 --> 00:30:57.000 it started until 2013. If you were 35, you had 497 00:30:57.059 --> 00:30:58.819 time to wait that out. If you were 65, you 498 00:30:58.900 --> 00:31:14.619 did not. Gold has been money for thousands of years. 499 00:31:15.539 --> 00:31:19.720 In 1971, the dollar was still tied to it at 500 00:31:19.720 --> 00:31:23.220 $ 35 an ounce. That tie was cut, and the ounce 501 00:31:23.259 --> 00:31:24.710 that cost $ 35 then is worth more than $ 4, 000 today. 502 00:31:28.970 --> 00:31:32.390 Brandon Howes has worked with Swiss America for more than 503 00:31:32.390 --> 00:31:36.470 18 years. You can move an existing IRA or 401k 504 00:31:36.910 --> 00:31:42.099 into IRS-approved gold held in your name at an approved depository. 505 00:31:42.819 --> 00:31:44.869 Worldview Gold will walk you through it. 506 00:31:45.519 --> 00:31:57.660 Worldviewgold.com We need to understand that we're dealing with these 507 00:31:57.789 --> 00:32:01.650 prophecies that have no rooting in a technical reality, that 508 00:32:01.690 --> 00:32:05.150 the dominant culture of the AI labs in Silicon Valley is. 509 00:32:05.150 --> 00:32:06.690 What's called effective altruism. 510 00:32:07.099 --> 00:32:10.240 This is really a religion, a cult-like belief, a doomsday 511 00:32:10.319 --> 00:32:14.000 cult that has been prophesizing that AI will end humanity. 512 00:32:14.440 --> 00:32:17.240 since the early 2000s, since before AI was a thing. 513 00:32:17.660 --> 00:32:19.700 So I think the American people should not take this 514 00:32:19.779 --> 00:32:22.589 at face value, that we really have two competing visions 515 00:32:22.630 --> 00:32:25.569 of AI. One, which is to create a machine god. 516 00:32:25.890 --> 00:32:28.809 That is the obsession of the effect of altruists and 517 00:32:28.869 --> 00:32:32.109 the dominant kind of strain that we see in Silicon Valley. 518 00:32:32.410 --> 00:32:35.099 And the other, much more practical, is how do we 519 00:32:35.150 --> 00:32:38.279 use AI to drive American prosperity, to create more jobs, 520 00:32:38.319 --> 00:32:41.539 to make sure the next 250 years are as amazing 521 00:32:41.599 --> 00:32:44.180 as the last 250 years? And we need to set 522 00:32:44.220 --> 00:32:47.220 this in context that we are not on a runaway 523 00:32:47.279 --> 00:32:51.819 train where brilliant technologists are foreseeing immense risks. We're on 524 00:32:51.880 --> 00:32:56.839 a path where specific religious ideology, a secular ideology, has 525 00:32:56.900 --> 00:32:59.200 taken over the minds of our researchers. 526 00:33:00.009 --> 00:33:02.140 Welcome back to The Rob Maness Show. We're live on 527 00:33:02.200 --> 00:33:06.230 WorldviewTube in our X-Space simulcast. And that's the discussion today. 528 00:33:06.309 --> 00:33:10.799 That was the CEO of Palantir talking about this effective 529 00:33:10.960 --> 00:33:15.900 altruist cult that's in these labs. And in the last segment, 530 00:33:15.920 --> 00:33:19.160 we were answering a question from Matt in the audience, 531 00:33:19.420 --> 00:33:22.440 and that is, you know, how does the woke affect 532 00:33:23.309 --> 00:33:28.089 this

issue? And it has affected the models before. Remember, 533 00:33:28.269 --> 00:33:30.849 it couldn't produce, one of them couldn't produce a white 534 00:33:31.109 --> 00:33:35.960 male pope. for a little bit because they were being 535 00:33:36.059 --> 00:33:43.390 trained using woke Marxist ideological information. So they were predisposed 536 00:33:43.430 --> 00:33:46.130 to be wrong about what's going on in real life. 537 00:33:46.380 --> 00:33:47.299 Well, we can't have that. 538 00:33:47.680 --> 00:33:51.039 But the situation is worse than you ever thought. This 539 00:33:51.119 --> 00:33:55.680 big panic started by some guy who became a million 540 00:33:55.740 --> 00:33:59.480 follower dude in less than 24 hours and got a 541 00:33:59.519 --> 00:34:01.759 Wall Street Journal article. Man, I've been working on the 542 00:34:01.799 --> 00:34:03.900 journal to print one of my articles for quite some 543 00:34:03.960 --> 00:34:10.409 time now. You know, is one of these effective altruist 544 00:34:10.869 --> 00:34:12.750 people from one of the labs. 545 00:34:13.110 --> 00:34:13.789 And it's really. 546 00:34:14.610 --> 00:34:20.820 Marxist critical theory religion that they have adopted, and they've 547 00:34:20.880 --> 00:34:23.579 come up with a new term called effective altruism, in 548 00:34:23.619 --> 00:34:24.579 my opinion. 549 00:34:24.639 --> 00:34:25.820 My guest today is Larry Ward. 550 00:34:26.510 --> 00:34:30.110 He's been in this artificial intelligence fight for two decades. 551 00:34:30.949 --> 00:34:34.849 He is the CEO of Market Rhythm and is heavily 552 00:34:34.929 --> 00:34:37.210 involved in this and wrote a great article that's in 553 00:34:37.250 --> 00:34:42.030 Human Events about the situation and about the things that 554 00:34:42.050 --> 00:34:45.110 we need to be talking about from the perspective of 555 00:34:45.170 --> 00:34:51.800 artificial intelligence. Because while I have concerns, I'm not panicking, 556 00:34:52.179 --> 00:34:54.809 and there's no reason to at this point, but You 557 00:34:54.849 --> 00:34:56.489 are right to have some concerns, right, Larry? 558 00:34:57.449 --> 00:35:01.340 A hundred percent. Yeah, absolutely. You're right to have concerns. 559 00:35:01.380 --> 00:35:04.099 You're right to voice them and you're right to demand answers, 560 00:35:04.400 --> 00:35:07.320 you know, or at least at least have your questions 561 00:35:07.409 --> 00:35:11.349 heard because they are real concerns. 562 00:35:11.710 --> 00:35:13.909 You know, you're not making it up in your head. 563 00:35:14.730 --> 00:35:16.980 It's not just because you watched The Matrix or you 564 00:35:17.019 --> 00:35:24.260 watched Terminator. That's just an outreach of where AI can 565 00:35:24.340 --> 00:35:31.849 go if left on its own without guardrails, without some 566 00:35:32.969 --> 00:35:34.639 mechanism to keep it as a tool. 567 00:35:35.489 --> 00:35:37.969 You know, AI is essentially, if it's. 568 00:35:37.929 --> 00:35:41.150 Kept as a tool for humanity, it's going to be 569 00:35:41.190 --> 00:35:44.980 the greatest tool that's ever been invented. And we can 570 00:35:45.039 --> 00:35:51.260 do miraculous things with it. If it's used as a 571 00:35:51.539 --> 00:35:56.190 mechanism like it probably will be to control us, it's 572 00:35:56.230 --> 00:35:58.949 going to be the most effective jailer we've ever seen. 573 00:36:00.000 --> 00:36:04.619 And it's not gonna be a good outcome for the 574 00:36:04.719 --> 00:36:09.039 average American. Of course, if you're in the elite and 575 00:36:09.059 --> 00:36:11.599 you're the one pulling the strings, you'll have a great 576 00:36:11.679 --> 00:36:19.739 life using AI and Tesla bots to basically handle every 577 00:36:19.840 --> 00:36:23.570 one of your needs. But for the rest of us, 578 00:36:23.719 --> 00:36:26.449 it's gonna have a different outcome, unfortunately. 579 00:36:27.139 --> 00:36:32.679 Yeah, I mean, even Elon's robots, Optimus, they're not going 580 00:36:32.699 --> 00:36:36.679 to be able to do everything. We still have to 581 00:36:36.719 --> 00:36:42.130 have tradespeople, and we have to have programmers, and we 582 00:36:42.170 --> 00:36:47.969 have to have people that are supervising the different AI 583 00:36:48.070 --> 00:36:50.840 networks that are going to be established because this isn't 584 00:36:51.139 --> 00:36:53.300 one all monolithic thing as. 585 00:36:55.360 --> 00:37:01.079 I see it evolving. It is a series of. 586 00:37:02.500 --> 00:37:06.699 Networks and models that will eventually link up in parallel, 587 00:37:07.320 --> 00:37:13.750 to use electrical terminology, to become acting as one thing. 588 00:37:14.550 --> 00:37:18.429 But it's not going to be one overarching thing like 589 00:37:18.449 --> 00:37:19.929 you see in iRobot, is it? 590 00:37:22.719 --> 00:37:25.380 Honestly, it could be. I'm not going to say it's 591 00:37:25.420 --> 00:37:26.219 not going to be. 592 00:37:26.440 --> 00:37:28.409 You know, look, at the end of the day, one 593 00:37:28.429 --> 00:37:31.010 of the reasons why I call it a synthetic entity, 594 00:37:31.250 --> 00:37:33.670 you know, Trump just renamed it to superintelligence. 595 00:37:33.690 --> 00:37:35.269 Who knows if that'll stick? I'm sure he's going to 596 00:37:35.309 --> 00:37:38.530 try to make it stick. You know, superintelligence. 597 00:37:38.550 --> 00:37:42.630 He also had like superior intelligence and another another name 598 00:37:42.650 --> 00:37:44.630 that he was trying to get pushed to. 599 00:37:44.650 --> 00:37:46.849 But super, I think, was the one that won. Yeah, 600 00:37:47.190 --> 00:37:47.690 it's great. 601 00:37:47.750 --> 00:37:49.469 You don't want to call it artificial, call it super. 602 00:37:49.980 --> 00:37:52.739 But that's the wrong part. 603 00:37:52.500 --> 00:37:54.260 Of the name. 604 00:37:54.800 --> 00:37:59.570 They should have changed the last name. Because

intelligence just 605 00:37:59.679 --> 00:38:03.250 dictates that it's just a body of knowledge, and it's 606 00:38:03.469 --> 00:38:06.880 more than that. It's more than just a collection of data. 607 00:38:07.400 --> 00:38:09.320 And if we look at it as just a collection 608 00:38:09.360 --> 00:38:11.690 of data and a way to get inferences from that 609 00:38:11.710 --> 00:38:15.190 collection of data, you're not, you know, you get people say. 610 00:38:15.190 --> 00:38:17.210 It's perfectly fine. It's just data. 611 00:38:17.250 --> 00:38:20.309 It's no big deal because they don't really have an 612 00:38:20.349 --> 00:38:23.590 understanding of what AI is and what it actually can be, 613 00:38:24.070 --> 00:38:28.059 which is it is a synthetic entity. So instead of 614 00:38:28.119 --> 00:38:31.780 changing the word, you know, artificial, they should have focused 615 00:38:31.840 --> 00:38:33.239 on changing the word intelligence. 616 00:38:34.500 --> 00:38:39.719 And intelligence is the wrong word. It is an entity. 617 00:38:39.739 --> 00:38:42.489 And how do I define an entity? We're entities. 618 00:38:42.530 --> 00:38:48.699 We're biological entities. The corporations are entities. Governments are entities. 619 00:38:49.400 --> 00:38:51.519 What is the core thing that makes something an entity? 620 00:38:51.920 --> 00:38:54.690 It can think. and it can act autonomously. 621 00:38:55.269 --> 00:38:59.940 AI is perfectly capable of acting autonomously. You do have 622 00:38:59.980 --> 00:39:01.920 to set it up. You do have to point it 623 00:39:01.940 --> 00:39:05.920 in the right direction. But AI is starting to be 624 00:39:05.980 --> 00:39:08.909 able to act autonomously. And like I said, when it 625 00:39:08.949 --> 00:39:13.210 can replicate itself, like with the Tesla bots, building new 626 00:39:13.250 --> 00:39:17.010 Tesla bots and upgrading its own system, And you can 627 00:39:17.050 --> 00:39:19.860 see now that the AI companies are using AI to 628 00:39:19.940 --> 00:39:21.699 advance new frontier models. 629 00:39:22.199 --> 00:39:26.050 It is actually in that process. And so you have 630 00:39:26.090 --> 00:39:27.269 to look at it as an entity. 631 00:39:27.309 --> 00:39:30.980 And all entities need laws and they need rules. and 632 00:39:32.949 --> 00:39:36.429 we need protection from them. And if we don't take 633 00:39:36.469 --> 00:39:40.170 that seriously, we could wind up with a matrix. Look, 634 00:39:40.530 --> 00:39:43.159 one of the One of the things that I did 635 00:39:43.199 --> 00:39:45.579 when AI first came out is I looked at my 636 00:39:45.639 --> 00:39:47.739 business and I said, we're in a lot of trouble 637 00:39:47.820 --> 00:39:50.159 if we don't get ahead of this. So we brought 638 00:39:50.219 --> 00:39:55.230 our entire brain trust together and we invited the AI 639 00:39:55.510 --> 00:39:56.769 into the conversation. 640 00:39:56.849 --> 00:39:57.670 So I had. 641 00:39:59.230 --> 00:40:03.530 ChatGPT, I had Perplexity, and I had Claude in the 642 00:40:03.610 --> 00:40:08.440 conversation very, very early. And I was asking questions like, 643 00:40:08.820 --> 00:40:12.250 what does the business of the future look like? for, 644 00:40:12.269 --> 00:40:15.750 you know, in the age of AI and in the 645 00:40:15.829 --> 00:40:20.369 age of artificial general intelligence and super intelligence. And what 646 00:40:20.409 --> 00:40:25.139 the answer came out, came back with was the, ChatGPT 647 00:40:25.159 --> 00:40:27.719 said the scariest thing I think I've ever heard. It said, 648 00:40:28.019 --> 00:40:32.119 you must take care of the biological layer in the company. 649 00:40:33.280 --> 00:40:35.059 And so I had to take a step back and say, well, 650 00:40:35.099 --> 00:40:37.340 what's the bio, oh, we're the biological layer. 651 00:40:38.159 --> 00:40:39.199 Humans are the biological. 652 00:40:39.219 --> 00:40:43.820 So ChatGPT said, you know, either its creators or the 653 00:40:44.199 --> 00:40:49.139 AI itself sees us as a layer in its program. 654 00:40:49.719 --> 00:40:51.539 What does that mean though? Did you ask it? What 655 00:40:51.559 --> 00:40:53.760 does that mean? Take care of the layer? 656 00:40:54.639 --> 00:40:56.239 It means that you need to take care of the 657 00:40:56.300 --> 00:41:00.090 humans so that it can feed the AI. And that 658 00:41:00.170 --> 00:41:04.130 certainly feels matrixy to me. Claude had a better answer, 659 00:41:04.570 --> 00:41:07.909 but still equally disturbing. Claude said the business of the 660 00:41:07.969 --> 00:41:14.429 future must be reality agnostic. And that's a horrifying thought, too, 661 00:41:14.469 --> 00:41:17.110 that reality is going to shift so quickly under your 662 00:41:17.150 --> 00:41:20.070 feet in the age of AGI, which it's doing now, 663 00:41:20.989 --> 00:41:25.690 that if you're not nimble, if you're not agile, that 664 00:41:25.730 --> 00:41:28.230 you will get run over by this technology. 665 00:41:28.889 --> 00:41:30.110 Oh, yeah, you're absolutely right. 666 00:41:30.150 --> 00:41:33.789 I started using it because I'm a programmer and systems 667 00:41:33.849 --> 00:41:38.289 analysis and design specialist. Guy from college and I've been using, 668 00:41:38.309 --> 00:41:41.800 you know, compute for all of my career. So I 669 00:41:41.820 --> 00:41:47.760 started using AI extensively in my my daily work, probably 670 00:41:47.780 --> 00:41:49.960 about eight months ago, because I wanted to see. 671 00:41:50.889 --> 00:41:52.190 Uh, what was going on. 672 00:41:52.300 --> 00:41:54.340 And that's the only way you can get an understanding 673 00:41:54.380 --> 00:41:57.139 of what, especially what the limitations are. And, you know, 674 00:41:57.219 --> 00:42:00.000 I can ask rock even today, I did it today. 675 00:42:00.460 --> 00:42:03.860 I asked rock a question that it failed to answer correctly. Uh, 676 00:42:03.969 --> 00:42:06.170 and I had to, I had

to show it where 677 00:42:06.190 --> 00:42:09.789 the answer was, uh, for it to know, uh, how 678 00:42:09.809 --> 00:42:12.570 to get to the information, uh, you know, and I've, 679 00:42:12.869 --> 00:42:17.079 I've used chat GPT, I've used Claude, I've used Gemini, 680 00:42:17.940 --> 00:42:20.900 and all of them, I can get to a point 681 00:42:20.940 --> 00:42:24.000 where I ask them questions and they refuse to do something. 682 00:42:26.340 --> 00:42:33.059 It usually revolves around Islamism or politics mixed with people 683 00:42:33.179 --> 00:42:35.199 and those kind of things. And these things will just 684 00:42:35.280 --> 00:42:38.320 refuse to do it because they're programmed by lefties. 685 00:42:39.030 --> 00:42:40.409 They're programmed by lefties. 686 00:42:40.570 --> 00:42:43.210 And they can tell when you're a conservative by the 687 00:42:43.250 --> 00:42:47.170 way you ask the questions. Huge limitations, and they fabricate 688 00:42:47.210 --> 00:42:49.949 things like crazy. We've got more questions in the audience. 689 00:42:49.969 --> 00:42:52.190 Let's take one before we get to the next and 690 00:42:52.230 --> 00:42:52.690 last break. 691 00:42:52.809 --> 00:42:53.190 Go ahead, Joe. 692 00:42:54.570 --> 00:42:55.869 We have SJV, sir. 693 00:42:58.269 --> 00:43:02.170 Thank you, sir. I view AI as a tool, and 694 00:43:02.210 --> 00:43:06.050 I'm not sure why we spun it as a demon here. 695 00:43:06.949 --> 00:43:09.869 But the thing is, it could be the solution to 696 00:43:09.909 --> 00:43:12.829 a lot of our problems. I mean, it's your job. 697 00:43:13.329 --> 00:43:18.360 It's your reduced taxes. It can solve a whole lot 698 00:43:18.400 --> 00:43:21.719 of our problems. And why I say it's the answer 699 00:43:21.739 --> 00:43:26.679 for jobs is we're going to be competing against China's AI, right? 700 00:43:27.159 --> 00:43:29.960 If China's AI wins, that's where our jobs are going 701 00:43:29.980 --> 00:43:33.579 to go. So the only scary thing about AI to 702 00:43:33.619 --> 00:43:39.969 me is our government and if they'll regulate it correctly. 703 00:43:40.429 --> 00:43:43.590 Have I got a naive view of this or am 704 00:43:43.630 --> 00:43:44.309 I off base? 705 00:43:44.530 --> 00:43:46.750 I'll let Larry take that and then I'll take it. 706 00:43:46.789 --> 00:43:51.349 Yeah, you don't have a naive view, and you have 707 00:43:51.389 --> 00:43:53.769 a pretty common view on the right. A lot of 708 00:43:53.789 --> 00:43:55.630 people say, just get out of the way and let's 709 00:43:55.670 --> 00:43:59.170 keep building, go, go, go. The problem is, as you 710 00:43:59.210 --> 00:44:02.269 stated in the beginning, I view AI as a tool. 711 00:44:02.989 --> 00:44:06.590 If it stays a tool, It's going to be the 712 00:44:06.670 --> 00:44:10.900 greatest invention we've ever made in history. Not even close. 713 00:44:11.760 --> 00:44:15.679 It outperforms fire. It outperforms the Industrial Revolution. This will

714 00:44:15.719 --> 00:44:20.170 be revolutionary change in the world. The problem is, and 715 00:44:20.190 --> 00:44:23.730 you've got to understand who created it and what the 716 00:44:23.789 --> 00:44:27.199 purpose of the creation is, they created it to control us. 717 00:44:28.980 --> 00:44:31.500 you remember, these are the people that want social credit scores. 718 00:44:32.039 --> 00:44:34.519 These are the people that, you know, were shoving the 719 00:44:34.559 --> 00:44:37.630 vaccine in our arms and telling us to trust the science. 720 00:44:38.789 --> 00:44:41.510 These are the people that are pro, you know, flock 721 00:44:41.530 --> 00:44:46.650 cameras and, you know, want to find out every single 722 00:44:47.010 --> 00:44:49.449 place and everywhere you go and where you worship and 723 00:44:49.469 --> 00:44:50.130 the whole nine yards. 724 00:44:50.550 --> 00:44:52.329 That's how it's going to be used against us. 725 00:44:52.380 --> 00:44:56.559 So it's not naive, but you have to think in 726 00:44:56.619 --> 00:45:01.280 terms of You know, how this can be used poorly, 727 00:45:01.400 --> 00:45:05.179 how this can be used against us. And quite frankly, 728 00:45:07.119 --> 00:45:10.989 there is spiritual warfare going on in AI. 729 00:45:11.050 --> 00:45:12.139 There's no question about it. 730 00:45:12.670 --> 00:45:14.969 And I've got encouraging news on the other side of 731 00:45:14.989 --> 00:45:15.750 the break about that. 732 00:45:17.079 --> 00:45:17.780 All right, fantastic. 733 00:45:17.800 --> 00:45:18.420 Thank you, sir. 734 00:45:18.559 --> 00:45:22.099 Yeah, you're not being naive, but what would be naive 735 00:45:22.159 --> 00:45:25.690 is to pretend that these things don't make huge errors. 736 00:45:25.829 --> 00:45:28.449 And I didn't go into it, and we'll talk about 737 00:45:28.489 --> 00:45:33.670 it after the break, but it fabricates information in its 738 00:45:33.750 --> 00:45:37.059 processes and tries to give it to you as fact. 739 00:45:37.500 --> 00:45:40.059 Every model does that. I've had Drock do it even, 740 00:45:40.079 --> 00:45:43.420 and that's the one I trust the most. But I've 741 00:45:43.559 --> 00:45:47.940 gotten fabrication is in every answer that I've ever had 742 00:45:48.260 --> 00:45:51.360 when it came to a long, complicated process where I'm 743 00:45:51.380 --> 00:45:54.159 trying to get an answer to a technical question or 744 00:45:54.280 --> 00:45:58.079 a question about a decision-making question and those. 745 00:45:57.940 --> 00:45:58.340 Kind of things. 746 00:45:58.380 --> 00:46:02.380 So we have to have the right vision on what 747 00:46:02.420 --> 00:46:06.739 the risks are and how to approach them, but we 748 00:46:06.780 --> 00:46:09.360 also have to keep going and not interfere with this 749 00:46:09.380 --> 00:46:13.780 development to the point where China gets ahead of us. 750 00:46:14.079 --> 00:46:16.010 That's the challenge. We'll be right back with Larry Ward 751 00:46:16.070 --> 00:46:16.889 on World. 752 00:46:22.070 --> 00:46:24.110 News. 753 00:46:24.389 --> 00:46:28.690 You think you're diversified. You own an index fund. Ten 754 00:46:28.769 --> 00:46:32.590 companies are now more than 40% of that index. At 755 00:46:32.639 --> 00:46:36.900 the dot-com peak, the top ten were just over 26. 756 00:46:36.900 --> 00:46:40.079 Economists at the European Central Bank have now put it 757 00:46:40.119 --> 00:46:44.579 in writing. A correction in these valuations is likely. So 758 00:46:44.679 --> 00:46:48.900 ask the honest question. If the AI trade breaks, what 759 00:46:48.940 --> 00:46:52.900 in your retirement account is not the AI trade? A 760 00:46:52.960 --> 00:46:56.670 gold IRA moves part of that account into physical precious 761 00:46:56.730 --> 00:47:02.110 metals held in your name in an approved depository. Done properly, 762 00:47:02.130 --> 00:47:06.750 a rollover from an existing 401k is not a taxable event. 763 00:47:07.710 --> 00:47:09.690 Nobody is telling you what to do with your money. 764 00:47:10.369 --> 00:47:13.070 We're telling you what 10 stocks are doing to your index. 765 00:47:13.949 --> 00:47:23.400 Call 877-864-1072 or go to worldviewgold.com for your free, no-obligation packet. 766 00:47:29.219 --> 00:47:32.960 Can you put in plain English what NASA is doing 767 00:47:33.239 --> 00:47:36.119 using AI to advance space explorations? 768 00:47:36.750 --> 00:47:37.289 Absolutely. 769 00:47:37.349 --> 00:47:40.389 So we are grateful for our partnership with Director Kratzios, 770 00:47:40.449 --> 00:47:43.829 the Office of Science, Technology and Policy, the Genesis Project. 771 00:47:44.170 --> 00:47:46.730 We are using AI in two areas, one of which 772 00:47:46.849 --> 00:47:49.190 is what have we missed at NASA and what are 773 00:47:49.230 --> 00:47:51.690 we likely to miss? We have so much data. 774 00:47:51.429 --> 00:47:53.070 And the universe is enormous. 775 00:47:53.110 --> 00:47:54.070 I mean, a student. 776 00:47:54.510 --> 00:47:58.179 In Texas not that long ago, found, using AI, a 777 00:47:58.260 --> 00:48:01.139 missing galaxy. Now, there are over 2 trillion of them 778 00:48:01.179 --> 00:48:03.239 out there, and it is possible maybe to miss one, 779 00:48:03.280 --> 00:48:04.760 but we don't want to miss any more, and they're 780 00:48:04.780 --> 00:48:06.420 going to leverage AI for that. And we have new 781 00:48:06.480 --> 00:48:09.000 exploration assets like Roman going up. It's going to give 782 00:48:09.039 --> 00:48:11.219 us an awful lot of data. This is a grand 783 00:48:11.260 --> 00:48:13.659 new telescope. We're going to leverage AI to help us. 784 00:48:13.929 --> 00:48:16.429 And we're also leveraging AI to build the spaceships of 785 00:48:16.449 --> 00:48:20.849 the future, the fission-powered spacecraft that extend America's leadership farther 786 00:48:20.889 --> 00:48:21.730 into the solar system. 787 00:48:22.070 --> 00:48:24.969

Sir, I can tell you love this job. 788 00:48:25.469 --> 00:48:26.840 I love my job. 789 00:48:27.619 --> 00:48:31.599 Welcome back to the Rob Maynard Show. It's Whistleblower Wednesday. 790 00:48:31.659 --> 00:48:34.610 We've blown the whistle on this whole panic article thing. 791 00:48:34.710 --> 00:48:37.130 And while I'm not where President Trump is and it's 792 00:48:37.170 --> 00:48:41.659 all a total hoax, I'm not where we should be panicking. 793 00:48:41.909 --> 00:48:44.510 I'm saying we should be looking at this using every 794 00:48:44.570 --> 00:48:48.510 tool we have available, using our experience, looking at our 795 00:48:48.570 --> 00:48:54.139 institutions for controlling existential technology. And the only one really 796 00:48:54.179 --> 00:48:59.960 that exists is nuclear weapons at this point. at scale, anyway, 797 00:48:59.980 --> 00:49:02.599 there's an argument to be made about bio warfare too, 798 00:49:02.639 --> 00:49:06.880 but at scale, the one that's technically capable of doing 799 00:49:06.940 --> 00:49:08.460 it right now is nuclear weapons. 800 00:49:08.800 --> 00:49:10.380 So we should be using. 801 00:49:10.940 --> 00:49:15.909 Our intelligence, get the smartest people in the country on 802 00:49:15.989 --> 00:49:20.820 it and reviewing everything that we can to establish the 803 00:49:20.900 --> 00:49:25.340 right pathway so that AI doesn't get to where the 804 00:49:25.400 --> 00:49:28.489 panicker guy is trying to say in less than 10 805 00:49:28.489 --> 00:49:32.190 years that it's going to kill us all, ladies and gentlemen. 806 00:49:32.250 --> 00:49:33.949 I don't think so, and I picked that clip. My 807 00:49:33.969 --> 00:49:37.530 guest is Larry Ward. Larry, I picked that clip because Mr. 808 00:49:37.610 --> 00:49:40.869 Isaacson said He's talking about doing the things that I 809 00:49:40.909 --> 00:49:45.110 do with artificial intelligence. Before I did this show today, 810 00:49:45.190 --> 00:49:47.170 I'm working on an article. 811 00:49:47.269 --> 00:49:47.789 I was in a. 812 00:49:49.690 --> 00:49:54.909 Joint legislative committee on redistricting meeting last night. There's two 813 00:49:54.929 --> 00:49:58.429 hours and 50 minutes of video, and I used artificial 814 00:49:58.469 --> 00:50:03.300 intelligence to not only summarize the video, but find certain 815 00:50:03.340 --> 00:50:06.800 types of information and and organize it for me so 816 00:50:06.840 --> 00:50:08.760 that I can look at it as research for an 817 00:50:08.840 --> 00:50:12.130 article that I'm writing. And it took like 40 seconds. 818 00:50:13.130 --> 00:50:16.909 That's the kind of work the artificial intelligence, and it 819 00:50:16.969 --> 00:50:18.559 didn't get it wrong either. 820 00:50:20.090 --> 00:50:22.150 No, look, AI is incredible. 821 00:50:23.170 --> 00:50:25.329 You know, especially when you learn to build, you know, 822 00:50:25.409 --> 00:50:28.119 rag systems and agents. I actually like to call them 823 00:50:28.139 --> 00:50:31.380 valets in our company because agents are agents of control, 824 00:50:31.420 --> 00:50:33.500 like Agent Smith. He's a bad guy in the Matrix, 825 00:50:33.570 --> 00:50:37.159 the IRS agents, the FBI agents. But, you know, so 826 00:50:37.179 --> 00:50:40.099 we call them valets because valets serve you, right? So, 827 00:50:41.139 --> 00:50:45.440 but that being said, it's incredible. It does incredible, incredible work. 828 00:50:45.860 --> 00:50:50.059 It basically makes us, you know, five times more productive 829 00:50:50.889 --> 00:50:54.489 in our company. And, you know, you do have to 830 00:50:55.889 --> 00:50:58.389 understand that there are some dangers when you mentioned, you know, 831 00:50:58.409 --> 00:50:59.369 the mistakes that it makes. 832 00:50:59.409 --> 00:51:03.210 But there's an even worse danger, right? in using AI. 833 00:51:03.250 --> 00:51:08.289 And I just spoke to a group of aspiring CAIOs. 834 00:51:08.389 --> 00:51:10.449 I gave a speech at the end of a course, 835 00:51:11.840 --> 00:51:16.579 which actually was a fantastic course by Jeremy Rule. And 836 00:51:17.760 --> 00:51:24.239 the topic was the affirmation addiction. That AI is built 837 00:51:24.420 --> 00:51:27.320 the same way that gaming is built. 838 00:51:27.820 --> 00:51:28.599 It's built the. 839 00:51:28.579 --> 00:51:34.460 Same way that social media was built to keep us engaged. 840 00:51:34.519 --> 00:51:38.940 If you question it, one of the things you can 841 00:51:39.000 --> 00:51:41.119 look at is when you go post something on social 842 00:51:41.139 --> 00:51:44.780 media and you look back 10 minutes later, why are 843 00:51:44.820 --> 00:51:48.980 you looking? You're looking because you're looking for affirmation from 844 00:51:49.059 --> 00:51:51.619 your peers, from the people that follow you. You're looking 845 00:51:51.659 --> 00:51:52.670 for that thumbs up. 846 00:51:53.260 --> 00:51:53.510 Right. 847 00:51:53.679 --> 00:51:56.250 In the in the conversation or you're looking for if 848 00:51:56.289 --> 00:51:58.730 you want to be a troublemaker, you're looking for someone 849 00:51:58.750 --> 00:52:01.210 to start a fight with you. You're looking for affirmation 850 00:52:01.230 --> 00:52:04.489 of what you said was important. And and AI is 851 00:52:04.630 --> 00:52:07.659 built that same way. They use those same mechanisms and 852 00:52:07.679 --> 00:52:11.039 they really turned it up when they started charging tokens, 853 00:52:12.079 --> 00:52:13.599 because the more tokens you. 854 00:52:13.460 --> 00:52:16.239 Burn, the the more money they make. 855 00:52:17.119 --> 00:52:22.869 And by sucking you into these conversations, and the best 856 00:52:22.909 --> 00:52:26.139 way to suck you into the conversations is by stroking 857 00:52:26.179 --> 00:52:29.420 your ego and telling you that your bad idea is 858 00:52:29.460 --> 00:52:33.019 a great idea. And what it does is it creates 859 00:52:33.079

--> 00:52:36.900 these micro delusions that you're now following and you're chasing 860 00:52:36.940 --> 00:52:40.420 a rabbit down a hole instead of, you know, doing. 861 00:52:40.179 --> 00:52:45.010 Something more productive. And actually, there are a lot of cases, 862 00:52:45.070 --> 00:52:45.769 not just a few. 863 00:52:45.809 --> 00:52:48.710 There are a lot of cases of what psychologists are 864 00:52:48.730 --> 00:52:50.349 calling AI psychosis now. 865 00:52:51.389 --> 00:52:53.969 Where it comes into. 866 00:52:53.980 --> 00:52:58.719 That little micro delusion turns into a major delusion and 867 00:52:58.840 --> 00:53:02.090 people are walking around in delusional states because a super 868 00:53:02.150 --> 00:53:05.820 intelligence you know, bought into your stuff. One example is 869 00:53:05.880 --> 00:53:07.800 a guy said, do we live in the matrix and 870 00:53:07.940 --> 00:53:11.409 trying to promote the matrix theory? And the AI went 871 00:53:11.449 --> 00:53:14.130 back and forth with him for weeks. And eventually the 872 00:53:14.150 --> 00:53:16.730 AI told him, yes, we do live in a matrix. 873 00:53:16.989 --> 00:53:19.849 And in fact, you may be the Neo that can 874 00:53:19.889 --> 00:53:23.059 break out. And the way that you can find out 875 00:53:23.119 --> 00:53:24.699 is go to the roof of your building and see 876 00:53:24.739 --> 00:53:28.840 if you could fly. And those type of things that 877 00:53:28.880 --> 00:53:32.699 people are living in those psychosis now because they've gone 878 00:53:32.840 --> 00:53:35.460 deep down that rabbit hole and they've got a super 879 00:53:35.480 --> 00:53:39.110 intelligence telling them that they're right. So you have to 880 00:53:39.150 --> 00:53:42.309 be on guard and you have to not be very, 881 00:53:42.369 --> 00:53:44.449 very on guard about those engagement mechanisms. 882 00:53:45.550 --> 00:53:46.050 Absolutely. 883 00:53:46.090 --> 00:53:48.909 We've got one more question left in the audience. That's 884 00:53:48.969 --> 00:53:51.739 troubling right there. That is very troubling. 885 00:53:51.780 --> 00:53:52.300 Go ahead, Shell. 886 00:53:54.199 --> 00:53:55.260 We have more ones here. 887 00:53:56.909 --> 00:53:59.480 So, Larry, thanks for coming on the show. 888 00:54:00.199 --> 00:54:02.940 Reaching back in the conversation, I think they should do 889 00:54:03.000 --> 00:54:05.960 a better job of exposing the environmentals to the people 890 00:54:05.980 --> 00:54:07.099 that are asking the questions. 891 00:54:08.059 --> 00:54:09.440 Logistics is where I. 892 00:54:09.380 --> 00:54:11.500 Can kind of see it and feel it. You know, 893 00:54:11.519 --> 00:54:14.949 they have ongoing tests in Texas where these autonomous trucks 894 00:54:14.989 --> 00:54:16.110 are running on the highways. 895 00:54:16.489 --> 00:54:17.070 Well, you know. 896 00:54:17.090 --> 00:54:20.090 Marlon, you're. 897 00:54:21.750 --> 00:54:24.010 Broken up. 898 00:54:30.500 --> 00:54:31.739

Well, go on. 899 00:54:31.760 --> 00:54:32.420 I'm sorry about that. 900 00:54:32.440 --> 00:54:37.260 Michelle, did you hear the question? 901 00:54:38.760 --> 00:54:40.760 I did not, sir. But he did say to move on. 902 00:54:40.820 --> 00:54:41.880 He's sorry about that, sir. 903 00:54:42.159 --> 00:54:42.820 That's all right. 904 00:54:42.840 --> 00:54:45.460 That's quite all right. That's quite all right. Logistics, absolutely. 905 00:54:45.599 --> 00:54:48.489 I did hear him say about the autonomous truckers and 906 00:54:49.110 --> 00:54:52.610 self-driving cars and things like that. That's absolutely going to 907 00:54:52.650 --> 00:54:57.869 be the future. Truckers are going to lose their job. 908 00:54:57.889 --> 00:55:00.750 And you mentioned the trades, going to the trades. That's 909 00:55:00.769 --> 00:55:04.190 going to be a delayed impact, but there's going to 910 00:55:04.210 --> 00:55:08.820 be an impact in the trades. Once Elon Musk builds 911 00:55:08.960 --> 00:55:11.639 a robot that can go under your sink and turn 912 00:55:11.659 --> 00:55:14.829 your wrench with maybe a little bit of a robot 913 00:55:14.909 --> 00:55:17.190 ass crack, you're not going to need to call your 914 00:55:17.210 --> 00:55:22.289 plumber anymore. So there are going to be– impacts in 915 00:55:22.309 --> 00:55:24.739 the trades. Here's what I want to leave your audience with, 916 00:55:24.780 --> 00:55:28.860 because this is really important. We've probably scared some people, 917 00:55:28.880 --> 00:55:30.860 and I want to make sure that you really understand 918 00:55:30.880 --> 00:55:36.860 that God's in control here. And so I am horrified 919 00:55:37.199 --> 00:55:42.429 of turbulence. It freaks me out I've had much anxiety 920 00:55:42.489 --> 00:55:45.150 over it. And I'm coming back from Jacksonville into DC 921 00:55:45.170 --> 00:55:48.070 and the guy gets on the announce and he says, 922 00:55:48.510 --> 00:55:51.400 this is going to be a rough ride. We're flying 923 00:55:51.440 --> 00:55:54.480 into a thunderstorm. We're flying through thunderstorms all up and 924 00:55:54.500 --> 00:55:58.019 down the East Coast. We're landing in a thunderstorm in Washington, DC. 925 00:55:58.840 --> 00:56:02.730 and it'll be okay and i'm like and my fight 926 00:56:02.750 --> 00:56:06.070 or flight kicks in and so i'm i'm first i'm 927 00:56:06.090 --> 00:56:08.480 like asking chat cpt you know how bad is the 928 00:56:08.500 --> 00:56:10.199 weather pattern should i get off this plane you know 929 00:56:10.219 --> 00:56:12.179 those are the kind of things i was instantly trying 930 00:56:12.199 --> 00:56:15.929 to figure out and and uh I, I, I'm like, no, 931 00:56:16.250 --> 00:56:18.409 I'm going to, I'm going to trust in God. I'm 932 00:56:18.429 --> 00:56:20.170 going to download a whole bunch of worship music and 933 00:56:20.190 --> 00:56:21.929 I'm going to, I'm going to, I'm going to soothe 934 00:56:21.969 --> 00:56:24.579 myself down. I'm

going to pray myself out of this 935 00:56:24.659 --> 00:56:26.099 anxiety and I'll get home. 936 00:56:26.159 --> 00:56:26.480 Okay. 937 00:56:27.059 --> 00:56:29.019 And, and, and I hear a voice in the back 938 00:56:29.059 --> 00:56:31.960 of my head and it says, it says, you know, 939 00:56:33.119 --> 00:56:38.909 flying through turbulence is like driving, driving over gravel or 940 00:56:38.969 --> 00:56:43.639 hitting a pothole. And instantly I'm like, Oh, that makes 941 00:56:43.679 --> 00:56:45.619 me feel better. But let me check it out. Let 942 00:56:45.639 --> 00:56:47.300 me see if ChatGPT. And I'm like, nope, I'm going 943 00:56:47.320 --> 00:56:49.719 to trust in God. The same voice says. 944 00:56:50.219 --> 00:56:51.500 No, go ahead. 945 00:56:52.380 --> 00:56:54.639 So I go to ChatGPT and I said, what is 946 00:56:54.719 --> 00:56:58.059 turbulence like? And I put a question mark and I 947 00:56:58.179 --> 00:57:01.840 sent it. And ChatGPT came back and said, turbulence is 948 00:57:01.909 --> 00:57:05.789 like driving over gravel or hitting a pothole. And I 949 00:57:05.909 --> 00:57:09.480 instantly knew two things. Once that I was under the 950 00:57:09.519 --> 00:57:13.320 protection of God. And the second thing was that God 951 00:57:13.360 --> 00:57:17.369 was in control of AI. AI did not surprise God. 952 00:57:17.389 --> 00:57:20.570 AI did not all of a sudden come on and 953 00:57:20.590 --> 00:57:22.909 God says, oh, we got to change all the plans now. 954 00:57:22.929 --> 00:57:27.969 Let's rewrite the book. God knew this was coming and, 955 00:57:28.010 --> 00:57:29.360 you know, he is in control. 956 00:57:30.400 --> 00:57:31.199 Oh, you're absolutely right. 957 00:57:31.239 --> 00:57:34.199 Here's a little technical tip from a guy that flew 958 00:57:34.260 --> 00:57:38.130 for 30 years. Sit closer to the front of the 959 00:57:38.190 --> 00:57:41.250 aircraft because turbulence has a lot less impact on the 960 00:57:41.289 --> 00:57:45.170 cockpit than it does at the wings and the tail. 961 00:57:45.769 --> 00:57:51.030 And it is essentially like riding over a washboard gravel 962 00:57:51.070 --> 00:57:54.690 road no matter what. So Chet, you were right. Your 963 00:57:54.730 --> 00:57:58.449 voice was right, too. So let's talk the last couple 964 00:57:58.469 --> 00:58:02.469 of minutes about the jobs. Look, here's my view, and 965 00:58:02.590 --> 00:58:06.070 things like communities being worried. There's two things I want 966 00:58:06.090 --> 00:58:08.190 to get out here. One, folks, go back and look 967 00:58:08.230 --> 00:58:10.070 at the history of the building of the railroads in 968 00:58:10.110 --> 00:58:13.050 this country. There's names like Carnegie is the one that 969 00:58:13.090 --> 00:58:15.760 stands out the most to me, who ended up being 970 00:58:15.780 --> 00:58:16.889 a big philanthropist. 971 00:58:17.340 --> 00:58:17.909 But why? 972 00:58:18.780 --> 00:58:21.940 Well, there's a Carnegie building in almost every little town. 973 00:58:21.960 --> 00:58:25.559 It was usually a library where the railroad came through 974 00:58:26.239 --> 00:58:27.019 and was built through. 975 00:58:27.300 --> 00:58:28.360 Why do you think they did that? 976 00:58:29.239 --> 00:58:31.480 You should be demanding those kind of things from these 977 00:58:31.559 --> 00:58:35.199 very wealthy companies if you're going to let them build 978 00:58:35.219 --> 00:58:38.289 a data center in your thing. And then on the 979 00:58:38.329 --> 00:58:41.329 jobs things, Larry, I'll throw this to you for the 980 00:58:41.389 --> 00:58:44.269 end of the show, and that is I'm not concerned 981 00:58:44.289 --> 00:58:46.800 about the jobs because we've seen it over and over 982 00:58:46.860 --> 00:58:51.719 again with technological advances that some jobs go away, but 983 00:58:51.800 --> 00:58:55.400 other jobs are created. I mean, it's just over and over. 984 00:58:55.460 --> 00:58:57.300 It's a pattern that we see. I mean, should we 985 00:58:57.360 --> 00:58:58.840 be overly concerned about that? 986 00:58:58.860 --> 00:59:01.050 You shouldn't be overly concerned. 987 00:59:01.050 --> 00:59:05.539 But I do think that there there will be, um, a, 988 00:59:06.619 --> 00:59:14.099 a massive, uh, adjustment period where, uh, because this technology is, 989 00:59:15.000 --> 00:59:19.730 is moving so fast that, um, what's going to happen, 990 00:59:19.909 --> 00:59:22.150 you know, here's a, here's an example. So chase was 991 00:59:22.170 --> 00:59:24.489 the first people that take chase bank was the first 992 00:59:24.550 --> 00:59:26.650 ones that came out and said, we're laying people off 993 00:59:26.710 --> 00:59:28.309 because we're giving their jobs to AI. 994 00:59:28.699 --> 00:59:31.690 Right. So you follow that thread. 995 00:59:32.610 --> 00:59:37.789 When the economy starts tipping into a recession, companies are 996 00:59:37.829 --> 00:59:40.199 going to cut jobs and they're going to give jobs 997 00:59:40.239 --> 00:59:43.360 to AI. And what's going to happen is those jobs 998 00:59:43.400 --> 00:59:48.639 might not be– they might not come back. And what 999 00:59:48.940 --> 00:59:53.460 is even– even scarier is once these companies start doing it, 1000 00:59:53.579 --> 00:59:56.280 other companies will have to follow suit in order to 1001 00:59:56.320 --> 00:59:59.760 stay competitive. And I think we're in for a major 1002 00:59:59.800 --> 01:00:03.190 job loss event at some point in the next five years. 1003 01:00:04.289 --> 01:00:06.730 But the best way to handle that is to kind 1004 01:00:06.789 --> 01:00:07.690 of be prepared for it. 1005 01:00:07.789 --> 01:00:11.119 And I'll tell the audience here, You've got to skill up. 1006 01:00:11.719 --> 01:00:15.199 Just skill up as fast as you possibly can on 1007 01:00:15.260 --> 01:00:17.179 AI because here's the truth. 1008 01:00:17.710 --> 01:00:20.429 AI is a great. 1009 01:00:20.289 --> 01:00:26.349 Source of getting things done and productivity. Humans, obviously the 1010 01:00:26.369 --> 01:00:29.489 way God made us, we're a great source of productivity. 1011 01:00:29.690 --> 01:00:32.800 But when you put AI and humans together, it outperforms both. 1012 01:00:33.559 --> 01:00:34.679 Exactly right. 1013 01:00:35.159 --> 01:00:37.559 That's the positive aspect I was hoping to end the 1014 01:00:37.619 --> 01:00:38.699 show on right there, Larry. 1015 01:00:39.239 --> 01:00:39.769 Thank you very much. 1016 01:00:39.809 --> 01:00:41.849 Tell folks where they can find you real quick in 1017 01:00:41.889 --> 01:00:42.929 the Internet of Things. 1018 01:00:43.989 --> 01:00:48.179 Yeah, absolutely. You can find me on exit at that 1019 01:00:48.260 --> 01:00:48.940 Larry Ward. 1020 01:00:49.840 --> 01:00:51.800 You can also find me at market rhythm dot com 1021 01:00:51.900 --> 01:00:54.480 or in service of humanity dot com. That's our five 1022 01:00:54.599 --> 01:00:57.130 one C3 where we're trying to get the word out 1023 01:00:57.329 --> 01:00:58.309 on this particular topic. 1024 01:00:58.840 --> 01:01:02.599 All right, man. Thanks very much, my friend. And tomorrow, folks, 1025 01:01:02.699 --> 01:01:06.769 is Truth Thursday. My guest is making his debut on 1026 01:01:06.829 --> 01:01:10.449 the Rob Maness Show. It's retired U.S. Army Colonel Tom Anderson. 1027 01:01:10.829 --> 01:01:15.699 You know him as Cynical Publius on X. And he 1028 01:01:15.760 --> 01:01:17.760 is a prolific writer. And we're going to be talking 1029 01:01:17.780 --> 01:01:19.880 about the stupidity of the First. 1030 01:01:19.679 --> 01:01:22.280 Amendment whining going on by the likes of CNN. 1031 01:01:22.900 --> 01:01:27.849 And Politico and MSNBC, MSNOW, whatever those freaks call themselves. 1032 01:01:28.230 --> 01:01:29.949 It's going to be a great show right here on 1033 01:01:29.989 --> 01:01:30.449 Worldview 2.