1 00:00:01,920 --> 00:00:06,240 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,280 --> 00:00:10,560 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty arm. 3 00:00:10,480 --> 00:00:22,440 Speaker 2: Strong and Gatty and he Armstrong and Getty. 4 00:00:24,040 --> 00:00:27,040 Speaker 3: Aanthropic and the Pentagon are locked in a standoff over 5 00:00:27,120 --> 00:00:31,760 Speaker 3: access to the company's powerful artificial intelligence. The Fanthropic doesn't comply, 6 00:00:32,000 --> 00:00:35,240 Speaker 3: the Pentagon says it will revoke the company's government contracts 7 00:00:35,560 --> 00:00:39,240 Speaker 3: or seize use of the technology under the Defense Production Act. 8 00:00:39,400 --> 00:00:43,920 Speaker 3: Anthropic CEO Dario Amade responded, saying these threats do not 9 00:00:44,120 --> 00:00:47,800 Speaker 3: change our position. We cannot in good conscience accede to 10 00:00:47,840 --> 00:00:48,760 Speaker 3: their requests. 11 00:00:48,880 --> 00:00:51,559 Speaker 1: This is really an interesting story the more I dig 12 00:00:51,560 --> 00:00:54,120 Speaker 1: into it, and it's kind of exploding today. Wall Street 13 00:00:54,160 --> 00:00:57,680 Speaker 1: Journal and Washington Post both having exclusives about it. 14 00:00:58,360 --> 00:01:01,000 Speaker 2: That was from CBS new Whose last night. 15 00:01:01,080 --> 00:01:05,039 Speaker 1: I think, Ah, what does that mean when the Pentagon 16 00:01:05,120 --> 00:01:08,360 Speaker 1: says we might just take your technology? Do they mean 17 00:01:08,800 --> 00:01:13,360 Speaker 1: all of Anthropics' AI capabilities are one specific aspect of it? 18 00:01:13,680 --> 00:01:15,120 Speaker 1: Either way, that would be something. 19 00:01:15,720 --> 00:01:17,960 Speaker 2: Oh agreed, Yeah, this is a horrendous thing to say. 20 00:01:18,160 --> 00:01:25,440 Speaker 2: It strikes me as a invading Greenland style unnecessary threat 21 00:01:26,120 --> 00:01:30,440 Speaker 2: from the Pentagon. So I mean that would be. This 22 00:01:30,880 --> 00:01:33,080 Speaker 2: is some of the most cutting edge technology on Earth, 23 00:01:33,160 --> 00:01:35,240 Speaker 2: and the Pentagon wouldn't know what to do with it 24 00:01:35,280 --> 00:01:39,360 Speaker 2: once it got it. THEAI companies hardly do well. They 25 00:01:39,360 --> 00:01:41,280 Speaker 2: don't really very true, which is one of the points. 26 00:01:41,400 --> 00:01:45,839 Speaker 1: Dario, the guy runs Anthropic, is always making Andanthropics denying 27 00:01:46,120 --> 00:01:50,560 Speaker 1: some of this stuff. The Undersecretary this just across this 28 00:01:50,720 --> 00:01:57,040 Speaker 1: is breaking. The Undersecretary of State last name Michael told 29 00:01:57,120 --> 00:02:01,080 Speaker 1: CBS that Dario, the CEO of Anthropic, is a liar 30 00:02:02,440 --> 00:02:05,480 Speaker 1: oh so full on dropped an l bomb on him. 31 00:02:06,320 --> 00:02:09,840 Speaker 1: Let's get ABC's version of this story with Selina Wang. 32 00:02:10,320 --> 00:02:12,760 Speaker 4: The Anthropics says they've got some clear red lines that 33 00:02:12,800 --> 00:02:16,680 Speaker 4: includes using AI on the battlefield where it is AI 34 00:02:16,919 --> 00:02:20,400 Speaker 4: and not humans that make the final targeting decision, and 35 00:02:20,440 --> 00:02:24,480 Speaker 4: they're against using AI for mass domestic surveillance. Now, the Pentagon, 36 00:02:24,520 --> 00:02:26,880 Speaker 4: for its part, says they've got no desire to use 37 00:02:26,919 --> 00:02:30,080 Speaker 4: AI for either of those use cases, but argues that 38 00:02:30,120 --> 00:02:34,560 Speaker 4: the restrictions that Anthropic wants could jeopardize their military operations 39 00:02:35,000 --> 00:02:36,240 Speaker 4: in critical moments. 40 00:02:37,720 --> 00:02:39,440 Speaker 2: We're gonna hear more from that report now. 41 00:02:39,480 --> 00:02:40,840 Speaker 1: I don't know if it's in one of these report, 42 00:02:40,880 --> 00:02:44,000 Speaker 1: but the Pentagon has given Anthropic until five oh one 43 00:02:44,240 --> 00:02:49,320 Speaker 1: today East Coast time to drop its objections or the 44 00:02:49,400 --> 00:02:52,919 Speaker 1: Pentagon might SEEVEE seize Anthropics technology. 45 00:02:53,639 --> 00:02:57,880 Speaker 2: What interestingly, and this is breaking, Sam Altman just came 46 00:02:57,919 --> 00:03:03,320 Speaker 2: out and said, yeah, us too, us too. We agree 47 00:03:03,360 --> 00:03:07,520 Speaker 2: with Anthropic about the limitations and what we will and 48 00:03:07,600 --> 00:03:13,800 Speaker 2: won't do for the Pentagon. So his what's the umbrella 49 00:03:13,840 --> 00:03:18,640 Speaker 2: company for chech ept open Ai? Yeah, yeah, yeah, Well, 50 00:03:18,720 --> 00:03:20,240 Speaker 2: let's hear more of this report because I don't want 51 00:03:20,240 --> 00:03:21,760 Speaker 2: to repeat what she's about to say. Go on. 52 00:03:22,000 --> 00:03:25,000 Speaker 4: I think artificial intelligence is so powerful. There are many 53 00:03:25,160 --> 00:03:28,079 Speaker 4: use cases within the Department of Defense, and the Pentagon 54 00:03:28,160 --> 00:03:30,840 Speaker 4: has been using Anthropics Technology as part of this two 55 00:03:30,960 --> 00:03:34,040 Speaker 4: hundred million dollar AI pilot program. 56 00:03:33,840 --> 00:03:35,080 Speaker 2: Within the DoD. 57 00:03:35,440 --> 00:03:39,480 Speaker 4: And it's not just Anthropic, there's Elon Musk's XAI, Google 58 00:03:39,880 --> 00:03:43,680 Speaker 4: open Ai. They're also part of the program. But Claude, 59 00:03:43,720 --> 00:03:46,320 Speaker 4: which is their AI tool, is very advanced and it 60 00:03:46,400 --> 00:03:48,600 Speaker 4: is something that the military would want to keep on using. 61 00:03:48,680 --> 00:03:50,240 Speaker 1: And the other clip we have our from her is 62 00:03:50,240 --> 00:03:52,920 Speaker 1: that the Wall Street Journal reported that Anthropic was used 63 00:03:52,960 --> 00:03:55,640 Speaker 1: in the capture of Maduro, So the Pentagon has already 64 00:03:55,720 --> 00:03:58,960 Speaker 1: used that company. I didn't even know the Pentagon was 65 00:03:59,000 --> 00:04:02,440 Speaker 1: working with Nthropic of the AI companies. For some reason, 66 00:04:02,480 --> 00:04:04,880 Speaker 1: they chose to partner up with that one, and some 67 00:04:05,000 --> 00:04:08,240 Speaker 1: of the technology was used to capture Maduro, which I'm 68 00:04:08,240 --> 00:04:10,440 Speaker 1: sure is secret and we don't have any idea of. 69 00:04:10,480 --> 00:04:15,200 Speaker 1: But Dario Amodi said in a statement late last night 70 00:04:15,440 --> 00:04:18,279 Speaker 1: that Anthropic was ready to continue working with the Pentagon, 71 00:04:18,320 --> 00:04:21,840 Speaker 1: but would not change its stance. Current AI systems are 72 00:04:21,839 --> 00:04:26,040 Speaker 1: not reliable enough to power robotic weaponry without putting troops 73 00:04:26,040 --> 00:04:30,440 Speaker 1: and civilians alike at risk, he said. Oh, and existing 74 00:04:30,520 --> 00:04:33,080 Speaker 1: laws on domestic surveillance do not account for the sweeping 75 00:04:33,120 --> 00:04:35,039 Speaker 1: potential of AI snooping tools. 76 00:04:35,480 --> 00:04:36,360 Speaker 2: In a narrow set. 77 00:04:36,240 --> 00:04:39,400 Speaker 1: Of cases, we believe AI can undermine rather than defend, 78 00:04:39,480 --> 00:04:42,240 Speaker 1: democratic values. See, this is the sort of thing that 79 00:04:42,279 --> 00:04:45,640 Speaker 1: Ian Bremmer has been talking about a lot, where amazing 80 00:04:46,279 --> 00:04:50,400 Speaker 1: amounts of power are being concentrated in like single hands. 81 00:04:50,520 --> 00:04:52,640 Speaker 1: We've seen it with Elon Musk around the world, where 82 00:04:52,640 --> 00:04:56,200 Speaker 1: he can drop a satellite system into Ukraine, for instance, 83 00:04:56,240 --> 00:05:00,600 Speaker 1: and you get to communicate one guy decided that, which 84 00:05:00,600 --> 00:05:01,520 Speaker 1: is absolutely amazing. 85 00:05:02,680 --> 00:05:05,440 Speaker 2: Mody went on to say, bah blah blah blah blah bah. 86 00:05:05,520 --> 00:05:10,640 Speaker 1: Well more about he's concerned about AI being used for 87 00:05:10,800 --> 00:05:15,440 Speaker 1: robots in the battlefield, but you know, his his call 88 00:05:15,600 --> 00:05:18,640 Speaker 1: on whether or not it is being used properly or 89 00:05:18,640 --> 00:05:20,760 Speaker 1: is ready to go might be different than the pentagons. 90 00:05:21,240 --> 00:05:24,520 Speaker 2: Sure, sure, I was struck by that one sentence, though, 91 00:05:24,800 --> 00:05:28,360 Speaker 2: given what we've all heard about the tendency for AI 92 00:05:28,400 --> 00:05:32,599 Speaker 2: systems to have hallucinations and make bizarre mistakes, or you know, 93 00:05:32,680 --> 00:05:35,240 Speaker 2: in my experience, it kept telling me I'm not authorized 94 00:05:35,279 --> 00:05:36,920 Speaker 2: to do that, and I kept telling it, yes you are, 95 00:05:36,920 --> 00:05:39,080 Speaker 2: and it kept saying you're right, I am, and then 96 00:05:39,160 --> 00:05:41,440 Speaker 2: ten seconds later it would tell me I'm not authorized 97 00:05:41,480 --> 00:05:42,960 Speaker 2: to do this, and it just went back and forth. 98 00:05:43,040 --> 00:05:46,400 Speaker 2: It was like three stooges routine or something. Who's on first? 99 00:05:47,160 --> 00:05:51,799 Speaker 2: Given that state which'll be different next month, but given 100 00:05:51,800 --> 00:05:54,360 Speaker 2: that state of affairs, Yeah, putting it in charge of 101 00:05:54,400 --> 00:05:59,080 Speaker 2: something that could conceivably undermine all of our constitutional protections. 102 00:05:59,520 --> 00:06:02,240 Speaker 2: Are right to privacy if you believe that exists, blah 103 00:06:02,279 --> 00:06:06,200 Speaker 2: blah blah, A number of bill of rice, the argument, 104 00:06:06,279 --> 00:06:10,080 Speaker 2: hey that, hey, it's not ready to be given that awesome, 105 00:06:11,720 --> 00:06:14,360 Speaker 2: you know, a set of tasks. Well that's one side 106 00:06:14,400 --> 00:06:16,200 Speaker 2: of it, and that's all true. 107 00:06:16,200 --> 00:06:18,320 Speaker 1: But the other side of it would be based on 108 00:06:18,400 --> 00:06:20,640 Speaker 1: my reading of Dario in every interview I've seen with 109 00:06:20,720 --> 00:06:21,840 Speaker 1: him or read and everything like. 110 00:06:21,800 --> 00:06:27,839 Speaker 2: That, he's a very lefty, give piece a chance sort 111 00:06:27,880 --> 00:06:30,239 Speaker 2: of guy. That he's a hippie. He's a damned hippie. 112 00:06:30,320 --> 00:06:31,360 Speaker 2: Is that what you're trying to say? 113 00:06:31,400 --> 00:06:35,800 Speaker 1: He's He's probably the most conscientious of the people running AI. 114 00:06:36,000 --> 00:06:40,440 Speaker 1: I think read that description of him yesterday that Elon 115 00:06:40,560 --> 00:06:45,760 Speaker 1: retweeted that kind of called bulls on that, But at 116 00:06:45,880 --> 00:06:48,760 Speaker 1: least his public statements, Dario seems like a bit of 117 00:06:48,760 --> 00:06:50,800 Speaker 1: a hippie around all this sort of stuff, and it's 118 00:06:50,839 --> 00:06:54,839 Speaker 1: going to be really hesitant to want his technology to 119 00:06:54,880 --> 00:06:57,640 Speaker 1: be used, you know, on on on robots going across 120 00:06:57,680 --> 00:06:59,120 Speaker 1: the land shooting bad guys. 121 00:06:59,480 --> 00:07:01,880 Speaker 2: So you got that end of it too. He's a 122 00:07:01,920 --> 00:07:04,360 Speaker 2: son of Oppenheimer in that way, you know, you know, 123 00:07:04,640 --> 00:07:08,159 Speaker 2: you follow me those who participated in the development of 124 00:07:08,160 --> 00:07:11,280 Speaker 2: the atomic bomb, many of whom were very uncomfortable with 125 00:07:11,600 --> 00:07:14,280 Speaker 2: the reality of it. I get that well. So there's 126 00:07:14,280 --> 00:07:15,480 Speaker 2: a couple of interesting things here. 127 00:07:15,520 --> 00:07:17,480 Speaker 1: One, I didn't realize we were this far down the 128 00:07:17,520 --> 00:07:22,720 Speaker 1: road of AI being integrated with our national defense who did? 129 00:07:23,080 --> 00:07:27,840 Speaker 1: And secondly, need a little clarification on that threat from 130 00:07:27,880 --> 00:07:36,560 Speaker 1: the Pentagon for seizing their technology, right, whoa. 131 00:07:35,680 --> 00:07:37,200 Speaker 2: You can either sell it to us or we're going 132 00:07:37,280 --> 00:07:37,680 Speaker 2: to take it. 133 00:07:38,000 --> 00:07:41,160 Speaker 1: In other words, anthropic claude, that whole thing is in 134 00:07:41,200 --> 00:07:45,720 Speaker 1: the top handful of best ais on planet Earth, and 135 00:07:45,760 --> 00:07:47,760 Speaker 1: the government's going to take it. And like you said, 136 00:07:47,840 --> 00:07:50,200 Speaker 1: they wouldn't know what to do with it anyway, right, 137 00:07:51,000 --> 00:07:53,760 Speaker 1: or how to continue to grow it. 138 00:07:55,400 --> 00:07:55,840 Speaker 5: Yeah. 139 00:07:55,960 --> 00:07:58,480 Speaker 2: God, then it's in the hands of bureaucrats. 140 00:07:59,080 --> 00:08:01,640 Speaker 1: So the technology that the people at the top of 141 00:08:01,680 --> 00:08:04,920 Speaker 1: these companies are trying to keep on the rails, either 142 00:08:05,080 --> 00:08:08,440 Speaker 1: for conscientious reasons or financial reasons, then. 143 00:08:08,360 --> 00:08:10,680 Speaker 2: The government's got one of the best ay eyes on 144 00:08:10,720 --> 00:08:11,200 Speaker 2: the planet. 145 00:08:11,320 --> 00:08:13,360 Speaker 1: We all, I don't know about your trust in the 146 00:08:13,360 --> 00:08:15,160 Speaker 1: government's ability to keep it on the rails. 147 00:08:17,280 --> 00:08:19,360 Speaker 2: Let me check my calendar. I'm sorry, I hate to 148 00:08:19,360 --> 00:08:22,720 Speaker 2: do this in the middle of the show. Yeah, that's right. 149 00:08:22,960 --> 00:08:27,400 Speaker 2: March tenth is doomsday. Doomsday is approaching, folks, Does not 150 00:08:27,560 --> 00:08:30,160 Speaker 2: this all reek of doomsday? 151 00:08:30,520 --> 00:08:34,800 Speaker 1: Dude, got burocrats and or scientists both trying to wield 152 00:08:34,920 --> 00:08:37,720 Speaker 1: technology nobody knows how it works, and it could kill us. 153 00:08:37,760 --> 00:08:41,800 Speaker 2: All is doomsday? Like a blue beaver moon. Is it 154 00:08:41,840 --> 00:08:43,920 Speaker 2: like one of those things or it's more like once 155 00:08:43,960 --> 00:08:46,640 Speaker 2: a civilization sort of thing. It's always the second Tuesday 156 00:08:46,640 --> 00:08:48,000 Speaker 2: of the month. I think they ought to make it 157 00:08:48,000 --> 00:08:52,600 Speaker 2: on a Friday, you know, in case you drunk or whatever. Right, yeah, yes, Katie, 158 00:08:52,600 --> 00:08:53,920 Speaker 2: they want to show up to work hungover. 159 00:08:54,200 --> 00:08:56,400 Speaker 1: And don't forget that mercury is in gatorade right now, 160 00:08:56,440 --> 00:09:01,000 Speaker 1: all right, he is in gatorade. 161 00:09:01,880 --> 00:09:05,600 Speaker 2: Oh boy. Speaking of things that are sometimes green, Roughgreens 162 00:09:05,720 --> 00:09:10,160 Speaker 2: what a great supplement for your dog. Roughgreens is not 163 00:09:10,200 --> 00:09:13,240 Speaker 2: a different food. You add it to the dog's food 164 00:09:13,720 --> 00:09:18,520 Speaker 2: to improve nutrient absorption, maintain joint and musclehealth, enhance overall vitality, 165 00:09:19,200 --> 00:09:21,120 Speaker 2: slowing the aging process. 166 00:09:21,160 --> 00:09:24,560 Speaker 1: In essence, all kinds of good stuff with a live 167 00:09:24,920 --> 00:09:29,559 Speaker 1: nutritional supplement that you add to your lifeless dog food. 168 00:09:29,240 --> 00:09:31,040 Speaker 2: Which is fine. I mean that's the way it's designed. 169 00:09:31,320 --> 00:09:33,000 Speaker 1: If you keep using the same dog food and you 170 00:09:33,000 --> 00:09:34,880 Speaker 1: add rough Greens to it, and it ain't gonna cost 171 00:09:34,920 --> 00:09:37,440 Speaker 1: you anything except for the shipping. Roughgreens is offering a 172 00:09:37,480 --> 00:09:40,240 Speaker 1: free Jumpstart trial bag. You just cover shipping. Use discount 173 00:09:40,240 --> 00:09:43,559 Speaker 1: code Armstrong to claim your free Jumpstart Trial bag at Roughgreens. 174 00:09:43,559 --> 00:09:48,920 Speaker 2: Dot com. That's Ruffgreens dot com. The promo code is 175 00:09:49,160 --> 00:09:52,120 Speaker 2: Armstrong don't change your dog's food, just add Roughgreens and 176 00:09:52,160 --> 00:09:55,480 Speaker 2: watch the health benefits come alive again. The free Jumpstart 177 00:09:55,520 --> 00:09:59,760 Speaker 2: trialbag is conveniently free. Roughgreens dot com. Use that promo 178 00:09:59,800 --> 00:10:01,320 Speaker 2: code to Armstrong Wolf. 179 00:10:02,040 --> 00:10:06,920 Speaker 1: So I feel like I'm both unbelievably underqualified to comment 180 00:10:06,960 --> 00:10:13,880 Speaker 1: on this story and absolutely qualified enough on a top level, 181 00:10:13,960 --> 00:10:17,040 Speaker 1: thirty thousand feet level to comment on it, as anybody 182 00:10:17,080 --> 00:10:20,800 Speaker 1: would be. We got the Pentagon working with one of 183 00:10:20,840 --> 00:10:24,120 Speaker 1: your top ais and they're having a battle over who's 184 00:10:24,160 --> 00:10:29,480 Speaker 1: in charge of the decision making. That's a huge maybe 185 00:10:29,520 --> 00:10:34,920 Speaker 1: like you're joking about doomsday, like civilization altering conversation. 186 00:10:34,440 --> 00:10:35,720 Speaker 2: That's going on right now. 187 00:10:36,559 --> 00:10:42,280 Speaker 1: In another post from Trump's top AI advisor accused Anthropic 188 00:10:42,440 --> 00:10:46,520 Speaker 1: of fear mongering and pursuing regulatory capture an attempt to 189 00:10:46,559 --> 00:10:49,800 Speaker 1: bend the government to its will, and Thropic leaders have 190 00:10:49,840 --> 00:10:54,520 Speaker 1: criticized one of the ADMINISTRATION'SAI policies in recent weeks, all 191 00:10:54,520 --> 00:10:57,280 Speaker 1: fitting in with the Pentagon thing that has exploded on 192 00:10:57,320 --> 00:10:58,760 Speaker 1: the front pages today. 193 00:11:00,559 --> 00:11:03,480 Speaker 2: Oh boy. One of the great problems with government regulation 194 00:11:03,640 --> 00:11:06,560 Speaker 2: is that it's notoriously slow to adapt to a changing marketplace, 195 00:11:06,640 --> 00:11:10,880 Speaker 2: changing technology, etc. That's why handicaps economies. Look at France, 196 00:11:10,920 --> 00:11:14,160 Speaker 2: look at Europe, and given that this is a technology 197 00:11:14,160 --> 00:11:17,000 Speaker 2: that changes on like a day by day basis and 198 00:11:17,440 --> 00:11:21,640 Speaker 2: is leaping forward toward god knows what, certainly on a 199 00:11:21,679 --> 00:11:23,880 Speaker 2: monthly basis, and how to even deal with that? 200 00:11:24,280 --> 00:11:27,840 Speaker 1: Yes, well, Washington Post on this story today. Unlike a 201 00:11:27,960 --> 00:11:30,640 Speaker 1: gun or a jet engine, the uses that AI might 202 00:11:30,679 --> 00:11:34,839 Speaker 1: find on future battlefields keeps changing every day. The Trump 203 00:11:34,880 --> 00:11:38,520 Speaker 1: administration is embarking upon a vast expansion of the military's 204 00:11:38,600 --> 00:11:39,160 Speaker 1: use of AI. 205 00:11:40,360 --> 00:11:44,040 Speaker 2: Wow. Leading figures in the development. 206 00:11:43,640 --> 00:11:46,680 Speaker 1: Of AI have long had ethical and legal concerns about 207 00:11:46,679 --> 00:11:51,480 Speaker 1: giving AI the power to make life and death decisions. Well, 208 00:11:51,840 --> 00:11:55,480 Speaker 1: that's specifically what they're asking anthropic to do with the 209 00:11:55,679 --> 00:12:00,800 Speaker 1: specific with the incoming nuclear missiles as got to make 210 00:12:00,840 --> 00:12:04,160 Speaker 1: a call on whether we respond or not. That's asking 211 00:12:04,200 --> 00:12:08,960 Speaker 1: AI to make a life or death decision. And yeah, 212 00:12:08,480 --> 00:12:10,920 Speaker 1: and Dario is not comfortable with that. 213 00:12:13,160 --> 00:12:17,480 Speaker 2: I'm reminded of the moving and tuneful sting classic The 214 00:12:17,600 --> 00:12:20,280 Speaker 2: Russians I think the title was that, in which he's 215 00:12:20,280 --> 00:12:22,360 Speaker 2: talking about nuclear warns that I hope the Russians love 216 00:12:22,400 --> 00:12:25,480 Speaker 2: their children too. AI couldn't give a crap about your 217 00:12:25,559 --> 00:12:28,600 Speaker 2: children or the Russians children, no matter how hard they 218 00:12:28,640 --> 00:12:31,440 Speaker 2: teach it to xCE one point. And it just this 219 00:12:31,800 --> 00:12:36,120 Speaker 2: just it feels like handing a machine gun to a chimpanzee. 220 00:12:36,720 --> 00:12:39,920 Speaker 2: It just does not have a good good field. It 221 00:12:40,120 --> 00:12:43,520 Speaker 2: feels a little doomy. And it's China gonna put their 222 00:12:43,640 --> 00:12:48,560 Speaker 2: nuclear umbrella in the hands of their best AI. That 223 00:12:48,720 --> 00:12:51,760 Speaker 2: might not be that good. Well, and given the devastating 224 00:12:51,800 --> 00:12:55,800 Speaker 2: power of AI in one hundred different applications, potentially, certainly 225 00:12:56,240 --> 00:13:01,600 Speaker 2: it could be a runt like North Korea unleashes some 226 00:13:01,640 --> 00:13:05,640 Speaker 2: sort of horrific chapter in human history. Yeah, wouldn't it. 227 00:13:05,640 --> 00:13:10,480 Speaker 1: Be my final doobie who wants to listen to this 228 00:13:10,559 --> 00:13:13,320 Speaker 1: on a Friday comment, Bah. 229 00:13:12,720 --> 00:13:15,360 Speaker 2: Pull your entrails out of your abdomen, and I don't 230 00:13:15,400 --> 00:13:17,000 Speaker 2: know you at a stake, et cetera, et cetera. 231 00:13:17,040 --> 00:13:18,360 Speaker 1: I don't know if that needs to happen if we 232 00:13:18,400 --> 00:13:21,040 Speaker 1: go to all out nuclear war. Maybe wouldn't it be 233 00:13:21,080 --> 00:13:24,520 Speaker 1: something if human beings were able to keep the lid 234 00:13:25,120 --> 00:13:29,320 Speaker 1: on nuclear weapons for eighty years with the worst never happening. 235 00:13:30,360 --> 00:13:32,480 Speaker 1: But all these big companies put AI in charge and 236 00:13:32,679 --> 00:13:36,520 Speaker 1: AI just goes for it. Somebody fires something or thinks 237 00:13:36,520 --> 00:13:39,480 Speaker 1: they fired something, and the Ais respond and then then 238 00:13:39,520 --> 00:13:41,439 Speaker 1: we're at the big nuclear war. But he's worried about 239 00:13:41,520 --> 00:13:44,520 Speaker 1: human beings could handle it. The super smart, super intelligent 240 00:13:44,559 --> 00:13:46,800 Speaker 1: AI can't, partially because of what Joe just said. 241 00:13:46,840 --> 00:13:49,719 Speaker 2: They don't give a crap about your kids. Look at 242 00:13:49,720 --> 00:13:51,560 Speaker 2: the chimp. He's got a machine gun. 243 00:13:51,720 --> 00:13:57,400 Speaker 1: This will end well, Chip says, hold my banana. 244 00:13:57,480 --> 00:13:59,040 Speaker 2: All right, We've got more on the ways to hear 245 00:13:59,360 --> 00:14:10,080 Speaker 2: Armstrong and the most depressing radio show ever Armstrong. 246 00:14:13,080 --> 00:14:16,119 Speaker 1: Papa John's just said that they're closing hundreds of locations 247 00:14:16,160 --> 00:14:17,040 Speaker 1: across the country. 248 00:14:18,559 --> 00:14:20,000 Speaker 2: You know what's bad when no one asked why. 249 00:14:23,080 --> 00:14:26,560 Speaker 4: Yeah, business began dwindling when customers started upgrading to lunchables. 250 00:14:27,840 --> 00:14:32,600 Speaker 2: Oh wow, wow, East Coast media elitism. 251 00:14:33,160 --> 00:14:35,520 Speaker 1: I feel like we've talked about this with a number 252 00:14:35,520 --> 00:14:38,360 Speaker 1: of pizza chains. I feel like Papa John's changed over 253 00:14:38,400 --> 00:14:41,440 Speaker 1: the years too. Did my taste change or did it change? 254 00:14:42,400 --> 00:14:45,120 Speaker 1: I used to love Papa John's, and then the last 255 00:14:45,520 --> 00:14:49,960 Speaker 1: few times I had it, I thought I could be wrong. 256 00:14:50,600 --> 00:14:52,960 Speaker 2: Yeah, I'd like to claim I don't eat those pizzas 257 00:14:53,000 --> 00:14:55,120 Speaker 2: because I'm better than you. In fact, I have claimed that, 258 00:14:55,200 --> 00:14:58,280 Speaker 2: but it's mostly because Judy and I buy like really good, 259 00:14:58,400 --> 00:14:59,640 Speaker 2: high end frozen pizzas. 260 00:14:59,720 --> 00:15:02,200 Speaker 1: Yeah, frozen pizzas have come along way, Yes, they've come 261 00:15:02,240 --> 00:15:03,920 Speaker 1: a long way. That's what my kids like. There's a 262 00:15:03,920 --> 00:15:05,640 Speaker 1: couple of brands of frozen pizza they just love. 263 00:15:06,120 --> 00:15:06,320 Speaker 2: Yeah. 264 00:15:06,360 --> 00:15:07,840 Speaker 1: So if we need it quick and easy, that's what 265 00:15:07,840 --> 00:15:11,560 Speaker 1: we do. Man, it's so much cheaper, Yeah, so much cheaper. 266 00:15:12,320 --> 00:15:15,480 Speaker 1: We mentioned mortgage rates have fallen below six percent for 267 00:15:15,520 --> 00:15:18,600 Speaker 1: the first time since pandemic days, so it's in the fives. 268 00:15:18,880 --> 00:15:22,960 Speaker 1: Will this be enough to dislodge the locked to a 269 00:15:23,000 --> 00:15:28,920 Speaker 1: great extent real estate market where people don't move? Because 270 00:15:29,480 --> 00:15:31,640 Speaker 1: what am I gonna sell my house move into a 271 00:15:31,640 --> 00:15:33,960 Speaker 1: house half as much, half the size and have a 272 00:15:34,000 --> 00:15:34,960 Speaker 1: higher house payment? 273 00:15:35,040 --> 00:15:38,800 Speaker 2: Why would I do that? Sure and help, it'll help. 274 00:15:39,400 --> 00:15:41,400 Speaker 1: But if you got like a you know, a two 275 00:15:41,440 --> 00:15:43,480 Speaker 1: and a half percent mortgage, like a lot of people do, 276 00:15:44,960 --> 00:15:46,520 Speaker 1: still a long way from making sense. 277 00:15:46,640 --> 00:15:52,160 Speaker 2: Probably, Yeah. Here here, speaking of unprecedented more Americans under 278 00:15:52,240 --> 00:15:57,840 Speaker 2: fifty five are dying of severe heart attacks than ever before. 279 00:15:58,440 --> 00:16:01,560 Speaker 2: The proportion of adults ages eighteen to fifty four who 280 00:16:01,760 --> 00:16:06,920 Speaker 2: died of severe first heart attack rose fifty seven percent 281 00:16:07,240 --> 00:16:09,040 Speaker 2: between twenty eleven and twenty twenty two. 282 00:16:09,200 --> 00:16:11,600 Speaker 1: Let me take you, Let me take that's amazing. That's 283 00:16:11,640 --> 00:16:16,240 Speaker 1: an astounding fact, given the fact that we're I fink 284 00:16:16,320 --> 00:16:18,480 Speaker 1: healthier and all that sort of stuff. Let me come 285 00:16:18,560 --> 00:16:23,160 Speaker 1: up with some guesses. One more quick fact before you guess. 286 00:16:23,320 --> 00:16:28,560 Speaker 2: It's especially astounding because overall heart disease deaths are improving. 287 00:16:29,120 --> 00:16:34,640 Speaker 2: Energy drinks. I don't really have a good guess. Think 288 00:16:34,760 --> 00:16:40,400 Speaker 2: about it. Just obesity, Okay, Yeah. The increase among eighteen 289 00:16:40,440 --> 00:16:42,960 Speaker 2: to fifty four year olds especially concerning because mortality from 290 00:16:43,000 --> 00:16:46,160 Speaker 2: heart attacks has generally been declining. At least three quarters 291 00:16:46,200 --> 00:16:48,280 Speaker 2: of heart attacks among young and middle aged adults are 292 00:16:48,320 --> 00:16:51,960 Speaker 2: first time heart attacks, he said. Risk factors driving me 293 00:16:52,040 --> 00:16:54,920 Speaker 2: increase Your first heart attack is your last heart attack 294 00:16:55,000 --> 00:16:59,000 Speaker 2: for a lot of people. That was kind of a 295 00:16:59,000 --> 00:17:02,560 Speaker 2: weird statistic. Don't get hung up on it. Risk factors 296 00:17:02,760 --> 00:17:06,920 Speaker 2: driving the increase included diabetes, chronic kidney disease, and drug use. 297 00:17:06,960 --> 00:17:12,320 Speaker 2: The study found, blah blah blah, there you go a 298 00:17:12,320 --> 00:17:13,000 Speaker 2: lot of that stuff. 299 00:17:13,480 --> 00:17:16,199 Speaker 1: We're not too obesiently, We're not just all of a 300 00:17:16,240 --> 00:17:19,760 Speaker 1: sudden overweight, though went overweight for quite a while now 301 00:17:20,160 --> 00:17:25,720 Speaker 1: no obcity rates have skyrocketed certainly since the late nineties, 302 00:17:26,640 --> 00:17:29,080 Speaker 1: and now the people who have been obese since children 303 00:17:29,280 --> 00:17:30,880 Speaker 1: childhood are reaching the. 304 00:17:30,800 --> 00:17:34,320 Speaker 2: Age of your candidate for the old ticker bomb. I 305 00:17:34,320 --> 00:17:37,160 Speaker 2: don't like talking about this. I know I don't either, 306 00:17:37,200 --> 00:17:40,240 Speaker 2: So let's stop coming up the corporate jargon we hate 307 00:17:40,280 --> 00:17:43,080 Speaker 2: the most. And one more thought on it. The whole 308 00:17:43,119 --> 00:17:46,840 Speaker 2: certain facts, Well, put a pin in it. The whole 309 00:17:46,960 --> 00:17:53,520 Speaker 2: fat acceptance thing is insane. I'm not going to belittle 310 00:17:53,560 --> 00:17:56,160 Speaker 2: someone or be rate them or make fun of them 311 00:17:56,320 --> 00:18:00,760 Speaker 2: because I don't believe in cruelty. But uh, anyway, well 312 00:18:00,840 --> 00:18:02,520 Speaker 2: enough set. When you sit around the house, you sit 313 00:18:02,560 --> 00:18:07,400 Speaker 2: around the house. Oh my lord, bathroom doors, fitting through, etc. No, 314 00:18:08,040 --> 00:18:10,399 Speaker 2: not going there. Got a lot of good stuff to 315 00:18:10,440 --> 00:18:12,280 Speaker 2: get too though, not that you're good for you. 316 00:18:12,920 --> 00:18:14,800 Speaker 1: If you missed a segment of the podcast Armstrong and 317 00:18:14,880 --> 00:18:16,400 Speaker 1: Getty on demand. 318 00:18:16,920 --> 00:18:23,480 Speaker 2: Armstrong and Getty, I'm like you, no better than you. 319 00:18:23,880 --> 00:18:25,720 Speaker 2: I'm a nine to sixty SAT guy. 320 00:18:27,119 --> 00:18:30,359 Speaker 1: One of the odd attempts to be relatable than I 321 00:18:30,359 --> 00:18:32,679 Speaker 1: can remember in running for presidential history. 322 00:18:33,720 --> 00:18:36,760 Speaker 2: That was the governor of cal Unicornia. The current guy. 323 00:18:36,840 --> 00:18:39,800 Speaker 2: Here's a guy who's running for the office, longtime friend 324 00:18:39,800 --> 00:18:41,960 Speaker 2: of the Armstrong and Getty Show, Steve Hilton. You probably 325 00:18:41,960 --> 00:18:44,919 Speaker 2: know him from the Next Revolution with Steve Hilton on 326 00:18:44,960 --> 00:18:49,000 Speaker 2: Fox News or he formerly hosted the podcast California Rebel Base. 327 00:18:49,280 --> 00:18:51,560 Speaker 2: Always good to talk to him, Steve, How are you, sir? 328 00:18:53,000 --> 00:18:55,720 Speaker 5: Very well? Great to be with you. Guys. Newsome just 329 00:18:55,800 --> 00:18:59,879 Speaker 5: goes from completely useless, the most useless governor in America 330 00:19:00,280 --> 00:19:02,640 Speaker 5: to a total joke. I mean, I don't know how 331 00:19:02,640 --> 00:19:04,360 Speaker 5: he thinks any of this is helping him. 332 00:19:04,400 --> 00:19:04,760 Speaker 2: Do you do? 333 00:19:05,119 --> 00:19:06,520 Speaker 1: So? I don't have any idea what you got on 334 00:19:06,560 --> 00:19:08,680 Speaker 1: the SAT or the equivalent that you took in your 335 00:19:08,720 --> 00:19:11,080 Speaker 1: country growing up, But uh, what do you think his 336 00:19:11,240 --> 00:19:12,120 Speaker 1: goal was there? 337 00:19:14,640 --> 00:19:18,239 Speaker 5: It's okay, I'm as dumb as you are. 338 00:19:17,920 --> 00:19:22,280 Speaker 2: For your president, right and I'm sitting there thinking, Number one, 339 00:19:22,520 --> 00:19:25,760 Speaker 2: you just called me dom Number two. I want a 340 00:19:25,800 --> 00:19:28,480 Speaker 2: smart guy. What are you doing? What are you working at? 341 00:19:29,359 --> 00:19:33,760 Speaker 2: You know, Steve, speaking of speaking of quote unquote your country. 342 00:19:34,080 --> 00:19:38,000 Speaker 2: I know something about your biography that your parents fled 343 00:19:38,040 --> 00:19:41,080 Speaker 2: communism in Hungary and starting a new life in England, 344 00:19:41,080 --> 00:19:43,840 Speaker 2: where you grew up and worked and rose to uh 345 00:19:43,920 --> 00:19:47,960 Speaker 2: levels of influence. It went to Oxford University, et cetera. 346 00:19:48,600 --> 00:19:53,520 Speaker 2: I am we are both rabid anti communists. But I'm 347 00:19:53,640 --> 00:19:58,280 Speaker 2: guessing that part of your disdain for the mobbed up 348 00:19:58,359 --> 00:20:01,840 Speaker 2: one party system in kel Slifornia is your family background. 349 00:20:01,880 --> 00:20:03,119 Speaker 2: Is that a stretcher? Is that true? 350 00:20:03,240 --> 00:20:07,800 Speaker 5: Exactly? No, it's both parts. Actually, you're completely right. I've 351 00:20:07,840 --> 00:20:13,439 Speaker 5: got a complete hatred of a big authoritarian government that 352 00:20:13,520 --> 00:20:15,439 Speaker 5: tries has going to run your life and tell you 353 00:20:15,480 --> 00:20:17,840 Speaker 5: what to do. I saw that firsthand when I was 354 00:20:17,880 --> 00:20:20,840 Speaker 5: a kid. We'd go back to Hungary behind the Eron 355 00:20:20,880 --> 00:20:24,000 Speaker 5: curtain every year, sometimes twice a year, and I just 356 00:20:24,040 --> 00:20:26,200 Speaker 5: saw what the rest of my family had to put 357 00:20:26,280 --> 00:20:28,800 Speaker 5: up with. You can't run a business, you can't speak 358 00:20:28,840 --> 00:20:31,720 Speaker 5: your mind, you can't. Everyone is forced to have roughly 359 00:20:31,760 --> 00:20:36,480 Speaker 5: the same income. Basically, Ma'm Danny's dream in reality there, 360 00:20:36,520 --> 00:20:39,560 Speaker 5: I mean, I've been to state run grocery stores as 361 00:20:39,600 --> 00:20:42,200 Speaker 5: a kid. I've seen them. You don't want them here. 362 00:20:42,520 --> 00:20:45,600 Speaker 5: But that other part of it actually is the UK part, 363 00:20:45,880 --> 00:20:49,080 Speaker 5: because as I was coming of age politically, it was 364 00:20:49,119 --> 00:20:51,919 Speaker 5: at the end of the nineteen seventies a decade of 365 00:20:51,960 --> 00:20:55,119 Speaker 5: socialism in the UK. You can't call it communism, but 366 00:20:55,160 --> 00:20:58,919 Speaker 5: it was very strong socialism and it was a total disaster. 367 00:20:59,280 --> 00:21:02,320 Speaker 5: You had sky high taxes up to ninety eight percent 368 00:21:02,400 --> 00:21:07,240 Speaker 5: on some people, the unions running everything, unions in control 369 00:21:07,280 --> 00:21:12,159 Speaker 5: of everything, massive regulations, Businesses couldn't run their businesses. It 370 00:21:12,280 --> 00:21:16,360 Speaker 5: was a total disaster until Missus Thatcher came along. And honestly, 371 00:21:16,640 --> 00:21:19,040 Speaker 5: when I'm looking at what's going on in California today, 372 00:21:19,240 --> 00:21:23,520 Speaker 5: it really reminds me of nineteen seventies Britain, which was 373 00:21:23,800 --> 00:21:27,000 Speaker 5: and when we had the worst unemployment in the in 374 00:21:27,040 --> 00:21:30,360 Speaker 5: the in Europe, the worst inflation. Everything a disaster, and 375 00:21:30,400 --> 00:21:32,679 Speaker 5: that's the kind of thing that we need to address 376 00:21:32,720 --> 00:21:35,280 Speaker 5: here in California, with the worst run state in America. 377 00:21:35,320 --> 00:21:38,280 Speaker 5: We have the highest poverty rate, the highest unemployment rate, 378 00:21:38,440 --> 00:21:41,480 Speaker 5: the highest cost of living, their unions running everything, they 379 00:21:41,480 --> 00:21:44,080 Speaker 5: want to tax everyone to the hill. They keep coming 380 00:21:44,080 --> 00:21:46,399 Speaker 5: for more and more of our money for their bottomless 381 00:21:46,480 --> 00:21:49,000 Speaker 5: money pit. And we got to change, We've got to 382 00:21:49,000 --> 00:21:51,359 Speaker 5: go in a new direction. It's and actually one of 383 00:21:51,400 --> 00:21:53,480 Speaker 5: the things I say I'm on the campaign trade trail 384 00:21:53,560 --> 00:21:55,800 Speaker 5: the whole time is apart from all the kind of 385 00:21:55,840 --> 00:21:59,560 Speaker 5: specific things, I'm fighting for three dollar gas, cut, your 386 00:21:59,600 --> 00:22:03,120 Speaker 5: electric bills in half, your first one hundred grand tax free, 387 00:22:03,280 --> 00:22:05,959 Speaker 5: no more free healthcare for illegal immigrants, so we can 388 00:22:06,000 --> 00:22:08,480 Speaker 5: lower healthcare cost for you, a home you can afford 389 00:22:08,520 --> 00:22:11,479 Speaker 5: to buy, make our state califfordable. I'm fighting for all 390 00:22:11,480 --> 00:22:13,800 Speaker 5: of that, but there's a bigger, deeper thing. I'm fighting 391 00:22:13,840 --> 00:22:16,680 Speaker 5: to make sure this beautiful state that I love does 392 00:22:16,760 --> 00:22:19,240 Speaker 5: not turn into the country I left. 393 00:22:19,600 --> 00:22:23,040 Speaker 1: Well, we've seen, like for instance, with San Francisco and 394 00:22:23,080 --> 00:22:25,840 Speaker 1: electing a new mayor and the streets getting cleaned up, 395 00:22:25,880 --> 00:22:28,399 Speaker 1: that even people on the left can get sick of 396 00:22:28,440 --> 00:22:31,360 Speaker 1: their policies to the point of wanting to try something different. 397 00:22:32,640 --> 00:22:35,880 Speaker 5: Exactly. And you've seen in all these debates that I'm doing. 398 00:22:35,960 --> 00:22:38,720 Speaker 5: The first TV debate a couple of weeks ago, me 399 00:22:38,840 --> 00:22:41,800 Speaker 5: against six Democrats, I wiped the floor with them onlest 400 00:22:41,840 --> 00:22:44,760 Speaker 5: It's not me just bragging. That was the vote from 401 00:22:44,800 --> 00:22:47,680 Speaker 5: the statewide TV audience. I won by sixty six percent. 402 00:22:48,000 --> 00:22:51,679 Speaker 5: The next one was some Matt mayhow the mayor of 403 00:22:51,720 --> 00:22:54,359 Speaker 5: San Jase the new entrant in the race, with seventeen percent. 404 00:22:54,400 --> 00:22:56,680 Speaker 5: Everyone else was below that. Last night a debate here 405 00:22:56,680 --> 00:22:59,960 Speaker 5: in La at the Skoball Center with the Jewish community 406 00:23:00,200 --> 00:23:03,399 Speaker 5: that was streamed and televised on Spectrum, and again the 407 00:23:03,520 --> 00:23:06,240 Speaker 5: verdict was very clear. I beat all of them not 408 00:23:06,359 --> 00:23:08,920 Speaker 5: for doing anything special other than telling the truth, which 409 00:23:08,960 --> 00:23:12,560 Speaker 5: is after sixteen years of Democrat one party rule, it's 410 00:23:12,560 --> 00:23:15,760 Speaker 5: a total disaster. It's obviously time for change, and it's 411 00:23:15,800 --> 00:23:18,280 Speaker 5: time for an outsider to shake up this system. And 412 00:23:18,320 --> 00:23:21,000 Speaker 5: these Democrats, I mean, they know we need to listen 413 00:23:21,040 --> 00:23:23,440 Speaker 5: to them at these debates. They're all saying the same 414 00:23:23,600 --> 00:23:26,760 Speaker 5: kind of things that I'm saying because it's a truth. 415 00:23:27,040 --> 00:23:30,040 Speaker 5: But of course they've got zero credibility. How can the 416 00:23:30,119 --> 00:23:32,600 Speaker 5: people who made the mess be the ones to clean 417 00:23:32,640 --> 00:23:33,000 Speaker 5: it up? 418 00:23:33,680 --> 00:23:35,800 Speaker 2: Well, and it's pretty well known if you study California 419 00:23:35,800 --> 00:23:39,119 Speaker 2: politics that the Democrats are running to prove themselves as 420 00:23:39,160 --> 00:23:42,000 Speaker 2: the most loyal lackey of the powers that be, including 421 00:23:42,040 --> 00:23:44,679 Speaker 2: the public employee unions and the trial attorneys and a 422 00:23:44,680 --> 00:23:49,800 Speaker 2: couple of hours, you're right, super heavyweights. How how long 423 00:23:49,840 --> 00:23:51,879 Speaker 2: is it going to take before the public catches on 424 00:23:52,000 --> 00:23:54,800 Speaker 2: that that's the reality that the we're here for you 425 00:23:54,840 --> 00:23:56,560 Speaker 2: and we're going to lower prices blah blah blah is 426 00:23:56,760 --> 00:23:58,440 Speaker 2: entirely a charade. 427 00:23:59,640 --> 00:24:01,399 Speaker 5: I think they are catching on. I mean, this is 428 00:24:01,440 --> 00:24:03,960 Speaker 5: why I think I'm leading in all the polls, and 429 00:24:04,040 --> 00:24:05,800 Speaker 5: as we have more focus on the race, we have 430 00:24:05,840 --> 00:24:08,440 Speaker 5: more TV debates. I think it's a going to become 431 00:24:08,480 --> 00:24:11,199 Speaker 5: clearer and clearer. That's why I've always said, I know 432 00:24:11,280 --> 00:24:13,200 Speaker 5: people look at this race and I look at California 433 00:24:13,200 --> 00:24:16,240 Speaker 5: and say, oh, a Republican can never win. It's two Democrats. 434 00:24:16,320 --> 00:24:18,480 Speaker 5: I've never believed that. I've never believed it's going to 435 00:24:18,480 --> 00:24:21,080 Speaker 5: be easy to win. But I know that it's possible 436 00:24:21,200 --> 00:24:24,199 Speaker 5: because people are sick of this and you're seeing that 437 00:24:24,359 --> 00:24:27,880 Speaker 5: now as more and more attention comes onto the race. 438 00:24:28,200 --> 00:24:30,320 Speaker 5: And it's the other part of this I think is 439 00:24:30,359 --> 00:24:32,640 Speaker 5: really important is I'm running this race in a way 440 00:24:32,680 --> 00:24:35,399 Speaker 5: that we've never seen before. I'm putting together a team 441 00:24:35,840 --> 00:24:38,720 Speaker 5: in advance to make sure we are really credible and 442 00:24:38,760 --> 00:24:41,760 Speaker 5: ready on day one and people can believe that we 443 00:24:41,880 --> 00:24:44,640 Speaker 5: really will make things different. So I've got running mates 444 00:24:44,680 --> 00:24:47,480 Speaker 5: that Attorney General Michael Gates, the City of the former 445 00:24:47,520 --> 00:24:50,440 Speaker 5: city attorney from Huntington Beach who sued Gavin Newsome on 446 00:24:50,800 --> 00:24:53,720 Speaker 5: housing mandates and voter ID and the sanctuary state law, 447 00:24:53,920 --> 00:24:56,600 Speaker 5: and incredibly strong fighter who's going to be with me 448 00:24:57,000 --> 00:25:00,159 Speaker 5: in Sacramento making sure that my executive orders have the 449 00:25:00,200 --> 00:25:03,600 Speaker 5: full force of the Attorney General Herb Morgan running for 450 00:25:03,680 --> 00:25:06,680 Speaker 5: state controller with me. He's going to be there fighting 451 00:25:06,720 --> 00:25:09,479 Speaker 5: with me to route out the fraud. Just today we 452 00:25:09,560 --> 00:25:13,400 Speaker 5: published our second fraud report. I've set up the California 453 00:25:13,440 --> 00:25:17,080 Speaker 5: Department of Government Efficiency cal DOJE. We announced that about 454 00:25:17,080 --> 00:25:20,000 Speaker 5: a month ago. We are already getting to work on 455 00:25:20,040 --> 00:25:21,360 Speaker 5: a volunteer basis. 456 00:25:21,520 --> 00:25:22,520 Speaker 2: I've got a team. 457 00:25:22,400 --> 00:25:26,640 Speaker 5: Finding the fraud. Just today our second report, one billion 458 00:25:26,720 --> 00:25:29,720 Speaker 5: dollars over the last ten years from the gas tax 459 00:25:29,960 --> 00:25:33,440 Speaker 5: and from electric bill surcharges through the cap and trade 460 00:25:33,440 --> 00:25:37,080 Speaker 5: scheme that were supposed to be spent on solar panels 461 00:25:37,320 --> 00:25:41,760 Speaker 5: for low income apartment buildings. Only seventy two million was 462 00:25:41,880 --> 00:25:45,560 Speaker 5: actually spent on that a billion, one hundred and listen 463 00:25:45,600 --> 00:25:49,680 Speaker 5: to this, nine hundred and twenty eight million dollars siphoned 464 00:25:49,720 --> 00:25:55,320 Speaker 5: off into Democrat political activism, into registration. Wow. That our 465 00:25:55,400 --> 00:25:58,879 Speaker 5: second I know, that's our second report. The one before 466 00:25:58,920 --> 00:26:01,680 Speaker 5: that was three hundred and seven million from the cannabis 467 00:26:01,720 --> 00:26:04,439 Speaker 5: tax going to the same purposes. I mean, we're just 468 00:26:04,520 --> 00:26:07,080 Speaker 5: getting started, so we're going to be ready on day 469 00:26:07,119 --> 00:26:09,800 Speaker 5: one to deal with all this nonsense. And I think 470 00:26:09,840 --> 00:26:12,640 Speaker 5: that's the difference this time that I'm putting together a 471 00:26:12,720 --> 00:26:15,520 Speaker 5: serious team. I mean just this week, I an I 472 00:26:15,560 --> 00:26:18,159 Speaker 5: was in La and Figaro Street, which has become the 473 00:26:18,160 --> 00:26:22,880 Speaker 5: world capital shamefully of child sex trafficking under the Democrats. 474 00:26:23,080 --> 00:26:25,720 Speaker 5: I announced my plan to deal with it, including the 475 00:26:25,760 --> 00:26:29,879 Speaker 5: appointment of a new director of anti trafficking initiatives. She 476 00:26:30,040 --> 00:26:32,200 Speaker 5: was there with me. I've got the person who she's 477 00:26:32,240 --> 00:26:34,840 Speaker 5: been working on this issue for over a decade. This 478 00:26:35,000 --> 00:26:37,760 Speaker 5: is a really serious effort we're putting together. So by 479 00:26:37,800 --> 00:26:40,880 Speaker 5: the time we get to November, I'm very confident that 480 00:26:40,880 --> 00:26:43,640 Speaker 5: people will see They already know it's time to change. 481 00:26:43,800 --> 00:26:46,040 Speaker 5: They know we can't go on with this nonsense, that 482 00:26:46,119 --> 00:26:48,320 Speaker 5: the only choice for California is what did it? You've 483 00:26:48,320 --> 00:26:51,040 Speaker 5: got to put up with this nonsense or leave the state. 484 00:26:51,119 --> 00:26:54,080 Speaker 5: That's ridiculous. So they already are. They don't need to 485 00:26:54,080 --> 00:26:57,200 Speaker 5: be persuaded that it's time for change. What they need 486 00:26:57,240 --> 00:27:01,119 Speaker 5: to see is a really serious, clear Republican alternative, and 487 00:27:01,160 --> 00:27:02,320 Speaker 5: that's what I'm putting together. 488 00:27:03,000 --> 00:27:05,840 Speaker 1: We were profound were glad to hear how fired up 489 00:27:05,880 --> 00:27:07,560 Speaker 1: you are, because there ought to be revolution in the 490 00:27:07,600 --> 00:27:08,560 Speaker 1: streets in California. 491 00:27:08,640 --> 00:27:10,359 Speaker 2: Never mind a vote. I mean that ought to be 492 00:27:10,400 --> 00:27:12,960 Speaker 2: a no brainer, But we're so discouraged when Lani Chen 493 00:27:13,640 --> 00:27:16,160 Speaker 2: ran for a controller, was endorsed by every major news 494 00:27:16,160 --> 00:27:19,840 Speaker 2: outlet in California though he is a Republican, and he's 495 00:27:19,840 --> 00:27:24,200 Speaker 2: still lost to a hack. Do you think just enough 496 00:27:24,240 --> 00:27:27,600 Speaker 2: time has gone by, enough decay has been so obvious 497 00:27:27,640 --> 00:27:30,080 Speaker 2: to the average voter that they can't resist it anymore. 498 00:27:31,200 --> 00:27:34,720 Speaker 2: What makes you think a Republican can win now if 499 00:27:34,800 --> 00:27:37,400 Speaker 2: Lani couldn't A couple of things. 500 00:27:37,440 --> 00:27:39,240 Speaker 5: I mean, Lani's a good friend of mine, is great guy. 501 00:27:39,320 --> 00:27:41,960 Speaker 5: I agree with everything you said there, But the problem 502 00:27:42,080 --> 00:27:45,520 Speaker 5: is that was the state controllers race, and inevitably there's 503 00:27:45,520 --> 00:27:47,800 Speaker 5: just less at tension on that, and so it's hard 504 00:27:48,000 --> 00:27:50,840 Speaker 5: to breakthrough and make an impact. The governor's race is 505 00:27:50,880 --> 00:27:53,879 Speaker 5: where all the attention is. And as I am showing 506 00:27:54,160 --> 00:27:57,680 Speaker 5: by winning hands down all these debates, I mean it's 507 00:27:57,720 --> 00:28:00,679 Speaker 5: not even close. As I said earlier, the first debate, 508 00:28:01,000 --> 00:28:03,919 Speaker 5: I won sixty six percent of the state wide audiences 509 00:28:04,359 --> 00:28:06,960 Speaker 5: vote for who won the debate. Then the next Democrat 510 00:28:07,000 --> 00:28:10,320 Speaker 5: was seventeen percent, same last night, and so I think 511 00:28:10,359 --> 00:28:12,840 Speaker 5: it's the first point is that the governor's race gives 512 00:28:12,840 --> 00:28:16,000 Speaker 5: you the opportunity to make the case more clearly and 513 00:28:16,040 --> 00:28:20,040 Speaker 5: strongly to the statewide audience. Secondly, we've got a huge 514 00:28:20,040 --> 00:28:23,560 Speaker 5: secret weapon this year, which is all about because it's 515 00:28:23,560 --> 00:28:27,359 Speaker 5: a midterm election, it's all about Republican turnout, boosting the 516 00:28:27,400 --> 00:28:30,879 Speaker 5: Republican vote. The fact that we've got voter ID on 517 00:28:31,000 --> 00:28:35,199 Speaker 5: the ballot this November is incredibly important because we know 518 00:28:35,720 --> 00:28:37,879 Speaker 5: that although we've got you know, widespread support, it's got 519 00:28:37,960 --> 00:28:42,480 Speaker 5: majority support across California, including among Democrats, it's Republicans who 520 00:28:42,560 --> 00:28:46,120 Speaker 5: really are passionate about voter ID for obvious reasons because 521 00:28:46,160 --> 00:28:48,400 Speaker 5: it helps stop the cheating. And so the fact that 522 00:28:48,440 --> 00:28:51,200 Speaker 5: we've got voter ID on the ballot in November, that's 523 00:28:51,240 --> 00:28:54,240 Speaker 5: going to really help us get a big vote among Republicans. 524 00:28:54,280 --> 00:28:56,920 Speaker 5: So that's another reason I'm very confident we really can 525 00:28:57,000 --> 00:28:59,200 Speaker 5: pull it off. And then the final point, look at 526 00:28:59,200 --> 00:29:04,960 Speaker 5: who they're putting out up you know, I mean, I look, 527 00:29:05,000 --> 00:29:08,600 Speaker 5: I mean, the President might say, right, they're not they're 528 00:29:08,640 --> 00:29:15,720 Speaker 5: not sending their best. You've got you've got missus mash Potatoes. 529 00:29:16,040 --> 00:29:19,719 Speaker 5: You've got Fang Fang Swall. Well, you've got the billionaire 530 00:29:19,800 --> 00:29:24,320 Speaker 5: climate billionaire, climate fanatic, Tom Steyer. You've got this mayor 531 00:29:24,320 --> 00:29:27,600 Speaker 5: from Sam Jose who even his supporters who I know, 532 00:29:28,000 --> 00:29:29,720 Speaker 5: they say, the reason you've got to vote for him, 533 00:29:29,880 --> 00:29:34,000 Speaker 5: he's quote the least insane Democrat. Oh come on, do 534 00:29:34,040 --> 00:29:36,160 Speaker 5: you think we can do a bit better than least insane? 535 00:29:36,400 --> 00:29:39,480 Speaker 5: They are? Their candidates are weak and unimpressive, and I 536 00:29:39,520 --> 00:29:41,320 Speaker 5: think we can really pull it off this year. I 537 00:29:41,400 --> 00:29:42,400 Speaker 5: really believe that. 538 00:29:42,720 --> 00:29:44,959 Speaker 2: Steve Hilton has fired up. He's running for the governor 539 00:29:44,960 --> 00:29:49,160 Speaker 2: of California. Steve, we will talk again soon. Go get them. 540 00:29:49,640 --> 00:29:51,680 Speaker 5: Absolutely great to be with you guys, See you later. 541 00:29:52,080 --> 00:29:54,920 Speaker 2: Thanks, Bob, you know what he needs Rob Low now 542 00:29:54,960 --> 00:29:57,160 Speaker 2: talking about Rob Low, So. 543 00:29:57,680 --> 00:29:59,520 Speaker 1: Talking to Steve Hill. When you win the way, if 544 00:29:59,560 --> 00:30:01,920 Speaker 1: you win the Rob Low vote, you've won the state. 545 00:30:02,080 --> 00:30:04,320 Speaker 1: What we're trying to do here is and we like 546 00:30:04,320 --> 00:30:06,440 Speaker 1: Steve Hilton. We used to have him on a regular basis. 547 00:30:06,520 --> 00:30:07,800 Speaker 1: What we're trying to do here. We did this with 548 00:30:07,880 --> 00:30:11,000 Speaker 1: Arnold when he was on the on the upswing, and 549 00:30:11,040 --> 00:30:13,880 Speaker 1: we became, you know ingrained enough with Arnold that we 550 00:30:13,960 --> 00:30:16,760 Speaker 1: got invited to inauguration and I was sitting like six 551 00:30:16,800 --> 00:30:18,080 Speaker 1: seats away from Tom Arnold. 552 00:30:18,080 --> 00:30:19,239 Speaker 2: I mean, that's how great it was. 553 00:30:20,320 --> 00:30:23,040 Speaker 1: Wow, Rob Low up close, that's how fantastic was so 554 00:30:23,080 --> 00:30:26,080 Speaker 1: notwied air, breathing. 555 00:30:25,720 --> 00:30:27,680 Speaker 2: The rarefied air of Tom Arnold and Rob Low. 556 00:30:27,840 --> 00:30:29,440 Speaker 1: So if we get in with Steve Hilton early and 557 00:30:29,480 --> 00:30:31,040 Speaker 1: he's got a chance of winning, then we get to 558 00:30:31,040 --> 00:30:32,120 Speaker 1: go to inauguration again. 559 00:30:32,280 --> 00:30:34,880 Speaker 2: Wow, I'm all about the people of California all about 560 00:30:34,920 --> 00:30:37,680 Speaker 2: the time. Thank you so much, Tom Arnold. 561 00:30:38,240 --> 00:30:41,680 Speaker 1: Chance to be can't be close to Tom Arnold. That's 562 00:30:41,680 --> 00:30:48,280 Speaker 1: a once in a lifetime Yes Arnold, Lord does gonnask 563 00:30:48,280 --> 00:30:49,760 Speaker 1: Steve Hilton? Are you gonna get twisted? 564 00:30:49,920 --> 00:30:51,840 Speaker 2: Sister? Is that the name of the band that saying 565 00:30:51,880 --> 00:30:55,800 Speaker 2: we aren't gonna take it? Oh my god, No, No, 566 00:30:56,200 --> 00:30:58,480 Speaker 2: you're not gonna blow up the boxes? Who got the rooms? 567 00:30:58,520 --> 00:31:00,360 Speaker 2: We're gonna sweep them out of office and those sort 568 00:31:00,440 --> 00:31:04,800 Speaker 2: of things. We're not going. Yeah, that's a beautiful days, 569 00:31:04,880 --> 00:31:10,000 Speaker 2: wonderful days. We all missed them. Oh my god, stop, this. 570 00:31:10,360 --> 00:31:14,280 Speaker 1: Is coming up the corporate lingo. Everybody's growing to hate. 571 00:31:14,440 --> 00:31:17,160 Speaker 1: We'll hit you with the top top answers when they 572 00:31:17,200 --> 00:31:20,760 Speaker 1: asked corporate folks that question. And the great airport dress 573 00:31:20,800 --> 00:31:22,479 Speaker 1: code debate is really heating up. 574 00:31:22,480 --> 00:31:28,560 Speaker 2: We'll get into that an hour three. Stay tuned as 575 00:31:28,680 --> 00:31:29,640 Speaker 2: much as I don't want to. 576 00:31:29,720 --> 00:31:31,920 Speaker 1: I suppose we should touch on Epstein in an hour 577 00:31:32,160 --> 00:31:35,920 Speaker 1: three what Hillary says she said behind closed door in 578 00:31:36,040 --> 00:31:37,720 Speaker 1: six hours of testimony yesterday. 579 00:31:37,760 --> 00:31:40,120 Speaker 2: You go ahead, I won't. I'll leave the room. Bill 580 00:31:40,240 --> 00:31:41,120 Speaker 2: hate it, hate it. 581 00:31:41,160 --> 00:31:47,360 Speaker 1: Bill Clinton is on the stand, the Clintons and uh, 582 00:31:47,920 --> 00:31:49,920 Speaker 1: trying to figure out exactly what's going on here? 583 00:31:50,600 --> 00:31:53,520 Speaker 2: What is going on here? It's madness, That's what it is. 584 00:31:53,880 --> 00:31:57,960 Speaker 2: Also coming up, gender bending madness. A blockbuster report, making 585 00:31:58,040 --> 00:32:02,560 Speaker 2: progress but a long way to go. What percentage of 586 00:32:02,600 --> 00:32:07,280 Speaker 2: the population do you think uses jargon trying to sound 587 00:32:07,520 --> 00:32:12,520 Speaker 2: smart or buzzy. I don't know. And what percentage of 588 00:32:12,640 --> 00:32:16,960 Speaker 2: us are really annoyed by it or could never say. 589 00:32:16,720 --> 00:32:22,040 Speaker 1: It without being ironic? Just I'm just like, I'm not 590 00:32:22,200 --> 00:32:23,920 Speaker 1: built to say any of those things. 591 00:32:23,960 --> 00:32:28,160 Speaker 2: Seriously. Yeah, if you're surrounded by it constantly, it seeps 592 00:32:28,160 --> 00:32:31,760 Speaker 2: into your vocabulary. And I don't hate everybody who, for instance, 593 00:32:32,320 --> 00:32:36,160 Speaker 2: says I don't have the bandwidth for that. I actually 594 00:32:36,200 --> 00:32:38,080 Speaker 2: do say bandwidth quite a bit because it's such a 595 00:32:38,080 --> 00:32:41,640 Speaker 2: good description. Yeah, I gotta admit I've strayed, I've crossed 596 00:32:41,640 --> 00:32:42,440 Speaker 2: the line. I've used it. 597 00:32:42,520 --> 00:32:44,400 Speaker 1: But things like circle back or put a pin in 598 00:32:44,440 --> 00:32:46,760 Speaker 1: that there's just a gazillion different ways to say that, 599 00:32:47,600 --> 00:32:50,680 Speaker 1: and that's just a signaling that you're part of a 600 00:32:50,680 --> 00:32:53,680 Speaker 1: certain kind of crowd. No, I've got lots of successful 601 00:32:53,680 --> 00:32:56,240 Speaker 1: friends who use all those terms, because that's how you 602 00:32:56,280 --> 00:32:57,960 Speaker 1: signal that you're at the top of the heap of 603 00:32:58,040 --> 00:33:01,120 Speaker 1: understanding that sort of stuff. I guess, and I've known 604 00:33:01,240 --> 00:33:05,640 Speaker 1: some cops and military guys who throw around jargon, and. 605 00:33:05,560 --> 00:33:08,440 Speaker 2: They should know you have no idea what that means. 606 00:33:09,120 --> 00:33:12,000 Speaker 2: And they should also know if they know they know 607 00:33:12,200 --> 00:33:16,080 Speaker 2: that and use it anyway, so you have to ask 608 00:33:16,160 --> 00:33:20,400 Speaker 2: them so they can demonstrate their expertise. That's incredibly annoying 609 00:33:20,400 --> 00:33:25,920 Speaker 2: and JIV just say it. On the other hand, some 610 00:33:25,960 --> 00:33:29,200 Speaker 2: people don't have the instinct for how what they are 611 00:33:29,240 --> 00:33:32,400 Speaker 2: saying is being received. And I think if you're a 612 00:33:32,560 --> 00:33:36,400 Speaker 2: reasonably good performer of the task of doing this job, 613 00:33:37,600 --> 00:33:43,000 Speaker 2: you do have that instinct. Anyway, here's your top business 614 00:33:43,120 --> 00:33:46,000 Speaker 2: jargon phrases that people have grown to hate, according to. 615 00:33:45,960 --> 00:33:52,480 Speaker 1: Wall Street Journal readers bandwidth. That's number one. Interesting, You're 616 00:33:52,480 --> 00:33:56,120 Speaker 1: not a router. Just say you're busy, pal, I should say, 617 00:33:56,200 --> 00:33:58,200 Speaker 1: I should stop saying that. It seems like such a 618 00:33:58,200 --> 00:33:59,040 Speaker 1: good description to me. 619 00:33:59,120 --> 00:34:02,520 Speaker 2: But no, it's funny. I hate jargon, but i'm i'm 620 00:34:03,000 --> 00:34:06,800 Speaker 2: I disagree, especially given our job. I don't have the 621 00:34:06,880 --> 00:34:10,600 Speaker 2: bandwidth to get into the scandal at the Department of 622 00:34:10,640 --> 00:34:15,040 Speaker 2: the Interior, for instance. I just hits a pretty good metaphor. Anyway, 623 00:34:15,680 --> 00:34:19,160 Speaker 2: I love this. This guy writes an email or recently 624 00:34:19,239 --> 00:34:22,080 Speaker 2: arrived from our IT staff alerting us to a quote 625 00:34:22,360 --> 00:34:25,560 Speaker 2: zero day vulnerability on our devices. 626 00:34:25,680 --> 00:34:27,920 Speaker 1: I don't know what acquired an immediate update. I don't 627 00:34:27,960 --> 00:34:29,839 Speaker 1: know what that means, but I want to run from 628 00:34:29,840 --> 00:34:30,400 Speaker 1: that phrase. 629 00:34:31,440 --> 00:34:33,759 Speaker 2: And he writes, yikes, what exactly did that mean? Was 630 00:34:33,840 --> 00:34:39,879 Speaker 2: it as bad as it sounds? Zero day vulnerability? Oh no, no, 631 00:34:41,239 --> 00:34:45,000 Speaker 2: let's see change agent another phrase. This is how a 632 00:34:45,000 --> 00:34:47,920 Speaker 2: former colleague describes himself on resumes. Well, that might be 633 00:34:47,920 --> 00:34:51,680 Speaker 2: an attractive descriptor to a company looking for an unemotional 634 00:34:51,680 --> 00:34:56,040 Speaker 2: outsider to change aka whack half of an organization conjures 635 00:34:56,040 --> 00:34:58,560 Speaker 2: for me, someone on the midway at the fair wearing 636 00:34:58,600 --> 00:35:00,960 Speaker 2: a money belt with pennies, nickel, dimes, and quarter it's 637 00:35:01,000 --> 00:35:03,400 Speaker 2: a change agent. I'm a change agent. You hire me. 638 00:35:03,440 --> 00:35:07,000 Speaker 1: I'm a change agent. You'll notice office supplies starting to disappear, 639 00:35:10,400 --> 00:35:14,200 Speaker 1: circle back a classic. I asked someone to do some research, 640 00:35:14,200 --> 00:35:15,960 Speaker 1: and the response with I'll check it out and circle 641 00:35:16,000 --> 00:35:16,319 Speaker 1: back to you. 642 00:35:16,360 --> 00:35:18,560 Speaker 2: Why couldn't they just say, Okay, I'll send you my results, 643 00:35:18,640 --> 00:35:23,640 Speaker 2: or I'll follow up decision tree, as in, let's reach 644 00:35:23,719 --> 00:35:25,080 Speaker 2: up into our decision tree. 645 00:35:25,120 --> 00:35:29,960 Speaker 1: It's just stupid decisioning. It's a pointless invention to give 646 00:35:30,000 --> 00:35:32,560 Speaker 1: gravitas to the notion that action or choices should follow. 647 00:35:32,600 --> 00:35:36,440 Speaker 1: For example, this is a decisioning meeting. Oh, I've come 648 00:35:36,480 --> 00:35:40,759 Speaker 1: to that one completely. You're gonna start using that. I'll 649 00:35:40,760 --> 00:35:43,480 Speaker 1: say that in my kids tonight. This is a decisioning 650 00:35:43,520 --> 00:35:45,799 Speaker 1: moment for us. What's the new place? 651 00:35:47,040 --> 00:35:49,480 Speaker 2: Misplaced effort to sound more important rather than to do 652 00:35:49,520 --> 00:35:51,560 Speaker 2: some real work, and I don't know, make a decision 653 00:35:52,160 --> 00:35:57,000 Speaker 2: deep dive oh really, not investigate, study, discern, discover, find 654 00:35:57,000 --> 00:35:59,200 Speaker 2: out about look into you had to go with deep dive. 655 00:35:59,440 --> 00:36:03,879 Speaker 2: Did y'all go to the same NBA program growth, mindset, 656 00:36:04,080 --> 00:36:08,840 Speaker 2: hard Stop, hit the ground Running, among others. 657 00:36:08,960 --> 00:36:11,520 Speaker 1: I was in an MBA program in the eighties when 658 00:36:11,560 --> 00:36:13,680 Speaker 1: that was the hot degree, and yeah, people threw that 659 00:36:13,719 --> 00:36:14,760 Speaker 1: stuff around a lot. 660 00:36:15,400 --> 00:36:18,040 Speaker 2: I don't hate the juice isn't worth the Squeeze. Sorry, 661 00:36:18,040 --> 00:36:20,400 Speaker 2: I don't hate that one. We got more on the 662 00:36:20,400 --> 00:36:22,840 Speaker 2: way Armstrong and Getty