1 00:00:02,279 --> 00:00:06,600 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,640 --> 00:00:11,960 Speaker 1: Washington Broadcast Center, Jack Armstrong, Joe Getty, Armstrong and Getty 3 00:00:12,080 --> 00:00:24,200 Speaker 1: and he Armstrong and Yetty. Are you familiar with the 4 00:00:24,360 --> 00:00:27,639 Speaker 1: Sophie Cunningham point from the w NBA. They got so 5 00:00:27,720 --> 00:00:30,320 Speaker 1: much attention a week or so ago. Just became hip 6 00:00:30,360 --> 00:00:33,280 Speaker 1: to that today. Okay, it was everywhere there for a 7 00:00:33,280 --> 00:00:35,800 Speaker 1: couple of days, and it has become quite the meme. 8 00:00:37,640 --> 00:00:39,440 Speaker 1: I saw a thing the other day, and now when 9 00:00:39,479 --> 00:00:43,000 Speaker 1: she meets fans, everybody wants to do the point with 10 00:00:43,080 --> 00:00:49,600 Speaker 1: her first Sophie. Yeah. Anyway, the w NBA has weighed 11 00:00:49,640 --> 00:00:53,159 Speaker 1: in on whether she can monetize that, So it's kind 12 00:00:53,159 --> 00:00:54,800 Speaker 1: of a funny story in a. 13 00:00:54,640 --> 00:00:59,440 Speaker 2: Stupid smart movers shooting themselves Exactly. 14 00:00:59,160 --> 00:01:01,720 Speaker 1: A couple of great AI stories later this hour, too, 15 00:01:01,760 --> 00:01:04,680 Speaker 1: So stay tuned. Great isn't terrifying? Yeah? 16 00:01:05,040 --> 00:01:08,760 Speaker 2: Ah, Speaking of uh not so great situations. The governance 17 00:01:08,800 --> 00:01:12,160 Speaker 2: of the great state of California hard to imagine. 18 00:01:12,200 --> 00:01:13,640 Speaker 1: The approval rating for the. 19 00:01:13,560 --> 00:01:16,520 Speaker 2: Democratic Party is above ten percent, but indeed it remains 20 00:01:16,520 --> 00:01:20,000 Speaker 2: inexplicably high. There's a man trying to turn the state around. 21 00:01:20,040 --> 00:01:23,319 Speaker 2: He's running for governor Steve Hilton, who join You know him, 22 00:01:23,319 --> 00:01:25,720 Speaker 2: you love him, he joins us. Now, Steve, welcome, How 23 00:01:25,720 --> 00:01:25,959 Speaker 2: are you. 24 00:01:27,360 --> 00:01:27,920 Speaker 1: I'm very well. 25 00:01:27,959 --> 00:01:29,360 Speaker 3: I was slightly worried that I was going to be 26 00:01:29,400 --> 00:01:31,520 Speaker 3: introduced as the terrifying person. 27 00:01:31,640 --> 00:01:34,440 Speaker 1: So that's a relief, not at all. 28 00:01:34,480 --> 00:01:36,800 Speaker 2: I would like to As the general campaign has now 29 00:01:37,000 --> 00:01:41,840 Speaker 2: commenced and Javier Bessera, an utter embarrassment, is now the 30 00:01:41,920 --> 00:01:44,280 Speaker 2: Democratic candidate, I want to lead with this. I made 31 00:01:44,280 --> 00:01:47,480 Speaker 2: the same request at Arnold Schwarzenegger. He failed to honor it. 32 00:01:47,520 --> 00:01:50,960 Speaker 2: I will never forgive him. If you win, you've got 33 00:01:51,040 --> 00:01:53,520 Speaker 2: to appoint me, Joe Getty, to one of those boards 34 00:01:53,640 --> 00:01:56,600 Speaker 2: that gets richly paid for doing practically nothing. 35 00:01:56,840 --> 00:02:00,440 Speaker 1: There's lots of them, yes's over to hundred. 36 00:02:00,640 --> 00:02:02,600 Speaker 3: There's a lot of laws, so I'm sure we can 37 00:02:02,640 --> 00:02:05,560 Speaker 3: find one for you to fill. I don't know what 38 00:02:06,000 --> 00:02:09,560 Speaker 3: do you think coastal commissions sound good? Or maybe you 39 00:02:09,560 --> 00:02:11,920 Speaker 3: want to go on a we need we need California 40 00:02:11,960 --> 00:02:13,079 Speaker 3: on a low carb diet. 41 00:02:13,880 --> 00:02:17,760 Speaker 1: There are over two hundred of those phony boards in California. 42 00:02:17,919 --> 00:02:20,960 Speaker 3: Oh yeah, oh yeah. This is where all the bloat, 43 00:02:21,160 --> 00:02:23,360 Speaker 3: This is where all the bloat and the insanity is 44 00:02:23,400 --> 00:02:25,600 Speaker 3: coming from. I mean you're in you know, you're farm 45 00:02:25,680 --> 00:02:27,920 Speaker 3: in the Central Valley. Who's taking away your water? The 46 00:02:27,960 --> 00:02:32,240 Speaker 3: State Water Resources Control Board, the Board of Pesticide Regulation 47 00:02:32,440 --> 00:02:36,880 Speaker 3: is on and on why we got this insane curriculum 48 00:02:36,919 --> 00:02:40,200 Speaker 3: in our schools which is focused on ideological indoctrination rather 49 00:02:40,200 --> 00:02:42,720 Speaker 3: than actual education. It means we have less than half 50 00:02:42,760 --> 00:02:45,400 Speaker 3: our kids meet basic standards in English. For math it's 51 00:02:45,440 --> 00:02:48,040 Speaker 3: thirty five percent. Well that's coming from the State Board 52 00:02:48,040 --> 00:02:50,360 Speaker 3: of Education that's pushing all that you know, we now have, 53 00:02:50,680 --> 00:02:52,520 Speaker 3: you know, while well the kids can't half the kids 54 00:02:52,560 --> 00:02:55,240 Speaker 3: can't read properly, and you've got university students in San 55 00:02:55,280 --> 00:02:58,280 Speaker 3: Diego where they have to take remedial English and math. Oh, 56 00:02:58,320 --> 00:03:02,359 Speaker 3: but don't worry about that. Then making an ethnic studies curriculum, 57 00:03:02,639 --> 00:03:07,240 Speaker 3: mandatory high school graduation requirements, etc. So this is the 58 00:03:07,240 --> 00:03:09,520 Speaker 3: bloat that I'm going to take a sledgehammer to, which 59 00:03:09,520 --> 00:03:12,240 Speaker 3: I'm very much looking forward to. And partly it's putting 60 00:03:12,240 --> 00:03:15,160 Speaker 3: in good people who will see these agencies in a 61 00:03:15,160 --> 00:03:17,520 Speaker 3: different direction. And partly it's just doing whatever we can 62 00:03:17,600 --> 00:03:19,960 Speaker 3: to shut them down, defund them and stop them doing 63 00:03:20,000 --> 00:03:23,239 Speaker 3: so much damage. But as you say, the general election 64 00:03:23,360 --> 00:03:26,040 Speaker 3: campaign now is on I'm about to launch. I'm in 65 00:03:26,080 --> 00:03:29,600 Speaker 3: Los Angeles today. I'll be going to Boil Heights, which 66 00:03:29,639 --> 00:03:32,880 Speaker 3: is the scene of that unbelievable warehouse fire that they 67 00:03:32,960 --> 00:03:35,880 Speaker 3: let burn for days and days and followed them by 68 00:03:36,200 --> 00:03:39,080 Speaker 3: the stench of rotting meat for days and days as 69 00:03:39,080 --> 00:03:42,680 Speaker 3: a symbol of their failure, because that is a heavily 70 00:03:42,720 --> 00:03:45,560 Speaker 3: working class Latino neighborhood, and it's a symbol of how 71 00:03:45,560 --> 00:03:50,720 Speaker 3: the Democratic Party in California has completely abandoned the working class. 72 00:03:51,000 --> 00:03:54,279 Speaker 3: Is run by a bunch of elites with ideological obsessions 73 00:03:54,400 --> 00:03:57,240 Speaker 3: that have given us the highest gas prices, electric bills, 74 00:03:57,480 --> 00:04:02,040 Speaker 3: housing costs, the worst business climate, all these disasters. And 75 00:04:02,320 --> 00:04:04,120 Speaker 3: that's what we're going to turn around. And the message 76 00:04:04,120 --> 00:04:08,160 Speaker 3: today is very simple. Enough is enough, Let's fax California, 77 00:04:08,520 --> 00:04:13,360 Speaker 3: very positive, very practical message. The general election campaign starts today, so. 78 00:04:13,400 --> 00:04:16,040 Speaker 2: I'm looking at the very very early polls, and you've 79 00:04:16,040 --> 00:04:17,440 Speaker 2: got a lot of work to do. Jack and I 80 00:04:17,440 --> 00:04:21,200 Speaker 2: have personally witnessed California's transformation from a purple state. To 81 00:04:22,440 --> 00:04:26,800 Speaker 2: my words, not yours woke nightmare. But the resistance to 82 00:04:26,960 --> 00:04:29,880 Speaker 2: anything with an R next to its name is astounding. 83 00:04:29,960 --> 00:04:33,159 Speaker 2: So I am for our purposes and you've already started this. 84 00:04:33,240 --> 00:04:36,360 Speaker 2: But I am a Democratic voter. I hated the Iraq War, 85 00:04:36,480 --> 00:04:40,880 Speaker 2: didn't like George Bush, don't like Trump at all. I'm 86 00:04:40,920 --> 00:04:44,160 Speaker 2: pretty liberal on social issues. I can't imagine voting for 87 00:04:44,200 --> 00:04:47,400 Speaker 2: a Republican. What's the rest of your pitch? How do 88 00:04:47,440 --> 00:04:50,279 Speaker 2: you prime you away from that? Just knee jerk? 89 00:04:50,480 --> 00:04:52,440 Speaker 1: I vote d. 90 00:04:52,680 --> 00:04:55,240 Speaker 3: Yeah, exactly, And that's what we're starting today. We had 91 00:04:55,240 --> 00:04:58,680 Speaker 3: ads today in the LA Times, in San Francisco, Chronicle, 92 00:04:58,720 --> 00:05:03,280 Speaker 3: Sacramento be all these places, very simple, provocative message. There 93 00:05:03,640 --> 00:05:06,440 Speaker 3: the headline I wrote, can you be anti Trump and 94 00:05:06,520 --> 00:05:09,400 Speaker 3: still vote for me? Make the simple test, and we 95 00:05:09,480 --> 00:05:13,160 Speaker 3: have ten questions for you to answer. That's a great idea, 96 00:05:13,279 --> 00:05:16,000 Speaker 3: and here they are. I can't stand Trump, but I'm 97 00:05:16,040 --> 00:05:18,279 Speaker 3: not happy with the way California has been run lately. 98 00:05:18,600 --> 00:05:21,320 Speaker 3: I care about the climate, but six dollar gas is insane. 99 00:05:21,560 --> 00:05:23,400 Speaker 3: I want the government to be well funded, but do 100 00:05:23,520 --> 00:05:26,400 Speaker 3: taxes really have to be this high? And so on 101 00:05:26,520 --> 00:05:28,680 Speaker 3: we go through these questions, and at the end of it, 102 00:05:28,680 --> 00:05:31,160 Speaker 3: it says, if you opposwered yes to one or more 103 00:05:31,200 --> 00:05:34,080 Speaker 3: of these questions, good news. You do have a choice. 104 00:05:34,240 --> 00:05:38,520 Speaker 3: Steve Hilton for governor. Yes, the Republican, the Fox News 105 00:05:38,560 --> 00:05:42,840 Speaker 3: guy endorsed by Trump. But this election is not about 106 00:05:42,839 --> 00:05:45,520 Speaker 3: who you hate in Washington. It's about what we love 107 00:05:45,560 --> 00:05:48,160 Speaker 3: in California and what we need to do here. I 108 00:05:48,200 --> 00:05:53,000 Speaker 3: am not an ideologue. I'm a positive, pragmatic problem solveral 109 00:05:53,080 --> 00:05:56,320 Speaker 3: with business experience, government experience. I don't want to tell 110 00:05:56,320 --> 00:05:58,760 Speaker 3: you how to live your life. I just want you 111 00:05:58,800 --> 00:06:00,680 Speaker 3: to be able to live the life if you want, 112 00:06:01,240 --> 00:06:04,480 Speaker 3: in a normal, affordable way. That's what I'm fighting for, etc. 113 00:06:04,960 --> 00:06:07,720 Speaker 3: That's the message, and I'm being very direct about it 114 00:06:07,920 --> 00:06:10,440 Speaker 3: and trying to say to people, I get it right. 115 00:06:10,480 --> 00:06:14,479 Speaker 3: You don't like Trump, Magot whatever, It's not about that. 116 00:06:14,839 --> 00:06:17,960 Speaker 3: This election is about the things that we control in California. 117 00:06:18,279 --> 00:06:20,920 Speaker 3: And when you ask people, do you think we need 118 00:06:20,920 --> 00:06:23,560 Speaker 3: a change? Here's the numbers. So you're right about the 119 00:06:23,680 --> 00:06:26,599 Speaker 3: initial polls. It's a baseline. I'm not put off by that. 120 00:06:26,640 --> 00:06:28,960 Speaker 3: I know it's not build battle the first pole that 121 00:06:29,000 --> 00:06:31,919 Speaker 3: came out, But Sarah, my opponent, sixty one percent. I 122 00:06:31,960 --> 00:06:34,400 Speaker 3: had thirty six. Actually, by the way, the good news 123 00:06:34,400 --> 00:06:37,039 Speaker 3: of that is that if you add up the primary numbers, 124 00:06:37,240 --> 00:06:39,839 Speaker 3: that's the entire Republican voting. A little bit more so 125 00:06:40,160 --> 00:06:42,799 Speaker 3: we've got unity on our side. Now we need to build. 126 00:06:43,240 --> 00:06:46,280 Speaker 3: And the other number that's very important to pay attention to, 127 00:06:46,600 --> 00:06:49,400 Speaker 3: sixty six percent in a recent poll said not just 128 00:06:49,400 --> 00:06:53,480 Speaker 3: the California needs change, but it needs a major overhaul. Right, 129 00:06:53,680 --> 00:06:55,960 Speaker 3: So we're going into an election where two thirds of 130 00:06:56,000 --> 00:06:59,240 Speaker 3: the state believe that we need change another pole. This 131 00:06:59,320 --> 00:07:01,440 Speaker 3: is now our prime poll, just to be very clear, 132 00:07:01,720 --> 00:07:03,400 Speaker 3: but you know, we didn't publish this. This is just 133 00:07:03,440 --> 00:07:05,320 Speaker 3: for our information, so we know what the life of 134 00:07:05,320 --> 00:07:08,400 Speaker 3: the land is. Here are the numbers. Thirty three percent 135 00:07:08,720 --> 00:07:13,040 Speaker 3: solidly with me, forty one percent solidly with Pisserah, twenty 136 00:07:13,160 --> 00:07:17,000 Speaker 3: six percent completely undecided and up for grabs. Who are 137 00:07:17,040 --> 00:07:21,640 Speaker 3: those people, basically working class Californians who are just struggling 138 00:07:21,680 --> 00:07:24,200 Speaker 3: with all these ridiculous costs in the houshole, trying to 139 00:07:24,240 --> 00:07:27,840 Speaker 3: run a small business. They're not ideological, they're not particularly political. 140 00:07:27,960 --> 00:07:30,280 Speaker 3: They just want an easier life, less of a struggle. 141 00:07:30,480 --> 00:07:34,240 Speaker 3: And our campaign message, enough is enough, Let's fix California. 142 00:07:34,320 --> 00:07:38,239 Speaker 3: Make our stake califordable, three dollar gas cut utility bills 143 00:07:38,280 --> 00:07:40,800 Speaker 3: in half, your first one hundred and fifty grand, tax 144 00:07:40,840 --> 00:07:44,520 Speaker 3: free starter homes for young families. That is what will 145 00:07:44,600 --> 00:07:47,880 Speaker 3: get people's attention, and there's a whole bunch of stuff coming. 146 00:07:47,960 --> 00:07:52,080 Speaker 3: We got Spencer Prats Ai ads team working for us. 147 00:07:52,120 --> 00:07:54,240 Speaker 3: Now you're going to be seeing a lot from us 148 00:07:54,240 --> 00:07:57,240 Speaker 3: in the next day or two. And I'm really excited 149 00:07:57,280 --> 00:07:59,560 Speaker 3: about taking the argument there. I mean, I think we 150 00:07:59,680 --> 00:08:03,280 Speaker 3: just got a fight strongly and positively. And also the 151 00:08:03,360 --> 00:08:06,080 Speaker 3: last thing I'll say is we got an opponent who's 152 00:08:06,080 --> 00:08:09,720 Speaker 3: a complete disaster. At a time when two thirds of 153 00:08:09,800 --> 00:08:12,960 Speaker 3: Californians want change, They've put up a guy who's the 154 00:08:13,000 --> 00:08:15,760 Speaker 3: living embodiment of more of the same, a thirty six 155 00:08:15,840 --> 00:08:20,600 Speaker 3: year career politician who even the Biden administration cabinet thought 156 00:08:20,720 --> 00:08:23,280 Speaker 3: was too useless. I mean, how useless do you have 157 00:08:23,360 --> 00:08:26,400 Speaker 3: to be if the Biden people think you're incompetent. Yes, 158 00:08:26,480 --> 00:08:30,120 Speaker 3: Susan Rice called him an idiot. Right then you've got 159 00:08:30,520 --> 00:08:33,280 Speaker 3: the corruption scandal he's up to his neck in that's 160 00:08:33,320 --> 00:08:34,920 Speaker 3: going to be coming out next few days. And then 161 00:08:34,960 --> 00:08:39,160 Speaker 3: the big one, the absolute horrific scandal of the migrant 162 00:08:39,280 --> 00:08:43,439 Speaker 3: kids and how he dealt with that and caused suffering 163 00:08:43,520 --> 00:08:47,440 Speaker 3: on a scale that people haven't even begun to imagine. 164 00:08:47,480 --> 00:08:49,480 Speaker 3: That's going to be a big part of this campaign. 165 00:08:49,600 --> 00:08:53,400 Speaker 3: So we're just getting started. In the words of our 166 00:08:53,480 --> 00:08:57,240 Speaker 3: wonderful in the famous phrase of our wonderful previous governor 167 00:08:57,240 --> 00:09:00,319 Speaker 3: and president of our country, you ain't seeing nothing. 168 00:09:00,120 --> 00:09:02,920 Speaker 2: Yet, so we have no need to kiss your ass 169 00:09:02,920 --> 00:09:05,520 Speaker 2: other than that's seen on the Coastal Commissioner. Maybe if 170 00:09:05,520 --> 00:09:08,120 Speaker 2: there's a liquor board or something and be. 171 00:09:08,080 --> 00:09:09,040 Speaker 1: Willing to serve one. 172 00:09:09,080 --> 00:09:10,400 Speaker 3: That's the big one exactly. 173 00:09:11,080 --> 00:09:14,679 Speaker 2: But your your strategy, the ad you described is brilliant. 174 00:09:14,760 --> 00:09:16,360 Speaker 1: That's really really good. 175 00:09:16,520 --> 00:09:18,600 Speaker 2: And I'm sure at some point you're going to add 176 00:09:18,600 --> 00:09:21,600 Speaker 2: in a little Why do you think Bessera's making this 177 00:09:21,800 --> 00:09:26,560 Speaker 2: about Trump because he has no defense for himself for 178 00:09:26,559 --> 00:09:27,120 Speaker 2: his policies. 179 00:09:27,200 --> 00:09:28,720 Speaker 1: Yeah, it's just it's angry. 180 00:09:29,240 --> 00:09:31,560 Speaker 3: Well, it's it's two things. It's it's that there's no 181 00:09:31,800 --> 00:09:35,080 Speaker 3: it's it's literally indefensible. We have the highest poverty rate 182 00:09:35,120 --> 00:09:37,960 Speaker 3: hist on employment rate, highest cost of living in the country, 183 00:09:38,160 --> 00:09:40,920 Speaker 3: worst business, all those things. He's got nothing to say 184 00:09:40,960 --> 00:09:43,960 Speaker 3: about the future. He was asked, you know, what would 185 00:09:44,040 --> 00:09:46,600 Speaker 3: you have changed about any of this? He couldn't think 186 00:09:46,640 --> 00:09:49,840 Speaker 3: of anything. He said, literally, no policy that he would change. 187 00:09:49,920 --> 00:09:52,079 Speaker 3: He said, well, things have to be can't be that bad? 188 00:09:52,080 --> 00:09:54,400 Speaker 3: Because a lot of people are going to Disneyland. What 189 00:09:54,440 --> 00:09:57,640 Speaker 3: are you talking about? It's just yours. He's a Mickey 190 00:09:57,720 --> 00:10:01,199 Speaker 3: Mouse candidate. I mean, he's a really really I can't 191 00:10:01,240 --> 00:10:04,840 Speaker 3: wait to get into this with him, because he's a disaster. 192 00:10:05,160 --> 00:10:10,200 Speaker 3: He's a he's a totally empty, cynical bureaucrat looking for 193 00:10:10,240 --> 00:10:14,120 Speaker 3: his next gig. And it's just it's just's so far 194 00:10:14,920 --> 00:10:17,640 Speaker 3: removed from what we need in California. And over the 195 00:10:17,679 --> 00:10:19,719 Speaker 3: next fifteen weeks, that's the time we have now for 196 00:10:19,880 --> 00:10:22,959 Speaker 3: the election, not long fifteen weeks. We're really going to 197 00:10:23,000 --> 00:10:25,480 Speaker 3: show people that this is a very clear choice. If 198 00:10:25,520 --> 00:10:29,000 Speaker 3: you're happy with the way that California's run, great, you 199 00:10:29,080 --> 00:10:31,040 Speaker 3: got your guy, have you eb Sarah. But if you 200 00:10:31,080 --> 00:10:33,000 Speaker 3: think we need change, you've got to vote for me. 201 00:10:33,559 --> 00:10:36,280 Speaker 2: Game on, Steve Hilton run for governor of California. Steve 202 00:10:36,320 --> 00:10:37,560 Speaker 2: go get him, stay in touch. 203 00:10:38,720 --> 00:10:41,240 Speaker 3: Fantastic season, guys, Thank you got it. 204 00:10:41,320 --> 00:10:43,840 Speaker 1: So, the latest polling, looking at all the polls that 205 00:10:43,880 --> 00:10:47,920 Speaker 1: are out there, PPI ces poll that came out most 206 00:10:47,960 --> 00:10:53,200 Speaker 1: recently had Besserah up sixty one thirty six. That's rough. 207 00:10:53,679 --> 00:10:57,520 Speaker 1: Now Steve mentioned same day Hilton put out their own polling. 208 00:10:57,520 --> 00:11:00,000 Speaker 1: They said their internal polling has it forty one toy. 209 00:11:01,440 --> 00:11:04,319 Speaker 1: So you're still getting trounced. But now there's a couple 210 00:11:04,360 --> 00:11:06,920 Speaker 1: of other poles like that. My guess would be that 211 00:11:07,000 --> 00:11:10,760 Speaker 1: Besarah because he's a nothing. I mean, he is exactly 212 00:11:10,760 --> 00:11:13,160 Speaker 1: what Steve Hilton just described him as. He's just twenty 213 00:11:13,160 --> 00:11:16,760 Speaker 1: of your stay in government bureaucrats, what's my next job? 214 00:11:17,120 --> 00:11:20,280 Speaker 1: The fact that political had a piece where people in 215 00:11:20,320 --> 00:11:23,400 Speaker 1: the Biden administration are, what, who's Besarah's going to be 216 00:11:23,440 --> 00:11:26,560 Speaker 1: governor Californy? You gotta be kidding me. They thought he 217 00:11:26,640 --> 00:11:29,920 Speaker 1: was worthless. Yeah, that's why his name never came up 218 00:11:30,000 --> 00:11:32,560 Speaker 1: during the biggest pandemic in a century and he was 219 00:11:32,679 --> 00:11:35,680 Speaker 1: running that department because he was useless. Anyway, my guess 220 00:11:35,679 --> 00:11:38,000 Speaker 1: would be he's gonna be prevent defense. You're not gonna 221 00:11:38,040 --> 00:11:39,920 Speaker 1: hear a word from him. He's just gonna think that. 222 00:11:40,200 --> 00:11:42,280 Speaker 1: And he might be right that he can just win 223 00:11:42,480 --> 00:11:45,559 Speaker 1: being the Democrat. I was just gonna say, he might 224 00:11:45,600 --> 00:11:47,959 Speaker 1: not campaign at all. Yeah, he probably doesn't want any 225 00:11:47,960 --> 00:11:52,000 Speaker 1: debates and he won't come campaign less. He shows up answering. 226 00:11:51,679 --> 00:11:54,800 Speaker 2: Questions better, Well, you want to talk about undecided voters, 227 00:11:54,840 --> 00:11:58,800 Speaker 2: Your dog couldn't give a crap about the California goubernatorial race, 228 00:11:59,280 --> 00:12:01,720 Speaker 2: but he does care about it's health. You want your 229 00:12:01,720 --> 00:12:03,600 Speaker 2: dog to be healthy and happy and live a long, 230 00:12:03,800 --> 00:12:08,120 Speaker 2: energetic life, and Roughgreens, America's number one dog supplement, all 231 00:12:08,200 --> 00:12:10,240 Speaker 2: natural made in the USA, could really help. 232 00:12:10,559 --> 00:12:13,839 Speaker 1: That's funny. My dog is really into mineral rights and 233 00:12:14,160 --> 00:12:16,400 Speaker 1: where the Democrats stand on that. But I know not 234 00:12:16,440 --> 00:12:20,040 Speaker 1: every dog's the same. Roughgreens, the over twenty vitamins and 235 00:12:20,080 --> 00:12:22,319 Speaker 1: minerals with a USA made product is really a good 236 00:12:22,360 --> 00:12:24,200 Speaker 1: deal and you could try it for nothing. It doesn't 237 00:12:24,200 --> 00:12:26,720 Speaker 1: cost you anything to get the Jumpstart Trial bag today. 238 00:12:26,880 --> 00:12:28,800 Speaker 1: All you do is cover the shipping. You go to 239 00:12:28,880 --> 00:12:32,080 Speaker 1: Roughgreens dot com and use a discount code Armstrong. You 240 00:12:32,120 --> 00:12:35,880 Speaker 1: spell Roughgreens. Are you Ffgreens dot com? Oh yes, so 241 00:12:35,960 --> 00:12:38,680 Speaker 1: many good things for your puppy In Roughgreens. Thousands of 242 00:12:38,679 --> 00:12:41,400 Speaker 1: dogs are feeling younger, more energetic, and healthier never before, 243 00:12:41,440 --> 00:12:43,400 Speaker 1: more good days and more time together. Get a free 244 00:12:43,440 --> 00:12:45,880 Speaker 1: Jumpstart Trial bag. Today's Jack said, just cover the shipping, 245 00:12:45,960 --> 00:12:48,400 Speaker 1: Go to Roughgreens dot com, use the discount code Armstrong. 246 00:12:48,559 --> 00:12:52,040 Speaker 1: That's are you Ffgreens dot com? Discount code Armstrong roughgreens 247 00:12:52,360 --> 00:12:56,559 Speaker 1: makes any dog food better. My last thought on politics 248 00:12:56,559 --> 00:12:59,160 Speaker 1: for a little bit is I wonder if we'll ever 249 00:12:59,160 --> 00:13:02,160 Speaker 1: be able to break out of this everything being national 250 00:13:02,200 --> 00:13:05,480 Speaker 1: elections thing. When Trump goes away, will that will we 251 00:13:05,720 --> 00:13:10,360 Speaker 1: recede back a little bit to all politics is local. 252 00:13:11,000 --> 00:13:14,599 Speaker 1: You don't tie your governor's race to the president. I 253 00:13:14,640 --> 00:13:16,160 Speaker 1: mean that's crazy. Yeah. 254 00:13:16,160 --> 00:13:19,040 Speaker 2: If you were to pick the two, three, four worst 255 00:13:19,160 --> 00:13:23,680 Speaker 2: ideas that most people have that are wrecking our self governance, 256 00:13:24,160 --> 00:13:26,840 Speaker 2: that would be way up there. The idea that the 257 00:13:26,880 --> 00:13:29,520 Speaker 2: federal government's really the only one level of government that 258 00:13:29,600 --> 00:13:31,960 Speaker 2: matters and they're here to solve all of our problems. 259 00:13:32,360 --> 00:13:37,360 Speaker 1: Aren't that a vote for your House member, governor whatever? 260 00:13:37,679 --> 00:13:40,120 Speaker 1: Is that we vote for reblic Republicans? That's a vote 261 00:13:40,160 --> 00:13:45,920 Speaker 1: for Trump? What. It's a weird way to do our politics. 262 00:13:46,240 --> 00:13:48,800 Speaker 2: Yeah, the governors of the various states are not doing 263 00:13:48,880 --> 00:13:49,560 Speaker 2: Trump's bidding. 264 00:13:49,760 --> 00:13:57,520 Speaker 1: The Republicans. I have been talking up various chatbots as 265 00:13:57,600 --> 00:14:06,240 Speaker 1: pretty good therapists for a while. Not sure. I'm not 266 00:14:06,240 --> 00:14:09,160 Speaker 1: sure what I think about that woychat GPT told this 267 00:14:09,200 --> 00:14:10,800 Speaker 1: woman to kill herself the other day. We'll get to 268 00:14:10,840 --> 00:14:13,319 Speaker 1: that story, among other things on the waist. 269 00:14:13,200 --> 00:14:22,720 Speaker 4: Here January twenty sixth, nineteen eighty eight. Only Kyle and 270 00:14:22,800 --> 00:14:25,680 Speaker 4: I were born in that hospital that day. It's the 271 00:14:25,720 --> 00:14:27,160 Speaker 4: only time we've ever been together. 272 00:14:27,840 --> 00:14:31,760 Speaker 5: My aunt Mark and I were on ancestry dot com. 273 00:14:32,040 --> 00:14:37,040 Speaker 5: I had done further DNA testing on my raising mom, 274 00:14:37,080 --> 00:14:42,720 Speaker 5: Evelyn Newton, that came out conclusively that you know, she 275 00:14:42,960 --> 00:14:47,920 Speaker 5: was biologically my brother's mom, but she didn't match with me. 276 00:14:48,040 --> 00:14:51,920 Speaker 5: On the platform. We kind of concluded and said, basically, look, Kyle, 277 00:14:52,320 --> 00:14:53,600 Speaker 5: you were switch at birth. 278 00:14:55,640 --> 00:14:58,200 Speaker 1: So you got two guys here switched at birth in 279 00:14:58,280 --> 00:15:01,040 Speaker 1: a small hospital. I think it was in Nebraska, or 280 00:15:01,080 --> 00:15:05,040 Speaker 1: I know the one guy grew up on a Nebraska farm. 281 00:15:05,600 --> 00:15:09,880 Speaker 1: North Dakota was North Dakota, Okay, North Dakota farm, But 282 00:15:11,080 --> 00:15:12,800 Speaker 1: I don't know how the other person grew up. They 283 00:15:12,800 --> 00:15:15,240 Speaker 1: didn't mention that in the news report I saw. But 284 00:15:16,640 --> 00:15:21,920 Speaker 1: finding out well into adulthood that you could have had 285 00:15:22,160 --> 00:15:27,560 Speaker 1: or would have had a completely different life would have 286 00:15:27,720 --> 00:15:32,240 Speaker 1: to just spin your hat around. Oh yeah, yeah, better 287 00:15:32,360 --> 00:15:35,840 Speaker 1: or worse, but you mean every aspect of your life 288 00:15:35,840 --> 00:15:36,400 Speaker 1: would have been. 289 00:15:36,320 --> 00:15:38,640 Speaker 2: Different, and take a minute to get over that and 290 00:15:38,960 --> 00:15:42,840 Speaker 2: come to terms with it if he ever could. Another 291 00:15:42,880 --> 00:15:44,600 Speaker 2: guy who lives in South Colorado. 292 00:15:44,680 --> 00:15:44,840 Speaker 3: Now. 293 00:15:44,880 --> 00:15:48,080 Speaker 1: I don't recall hearing about his upbringing. I didn't either, 294 00:15:48,200 --> 00:15:51,280 Speaker 1: and I wish they would have, because he'd have to 295 00:15:51,320 --> 00:15:55,280 Speaker 1: immediately go, well, it'd be tough because you probably not 296 00:15:55,480 --> 00:15:59,600 Speaker 1: probably almost certainly really love your parents and brothers and 297 00:15:59,640 --> 00:16:01,560 Speaker 1: sisters and got all these friends, and you went to 298 00:16:01,600 --> 00:16:05,359 Speaker 1: this high school and you know, your life is your life, 299 00:16:05,600 --> 00:16:07,760 Speaker 1: but it'd be hard not to think, what was that 300 00:16:07,880 --> 00:16:12,600 Speaker 1: other life that I almost had? How does that look? Yeah? Yeah, 301 00:16:12,680 --> 00:16:15,200 Speaker 1: you know what. I haven't heard them say. And is 302 00:16:15,240 --> 00:16:18,720 Speaker 1: it a oh, thank god, somehow I ended up in 303 00:16:18,760 --> 00:16:21,440 Speaker 1: this house or is it a that looks kind of nice. 304 00:16:21,560 --> 00:16:24,800 Speaker 1: I wish i'd ha grown up that way. Yeah. 305 00:16:24,960 --> 00:16:26,720 Speaker 2: These guys have not said on the record, and I 306 00:16:26,760 --> 00:16:31,120 Speaker 2: get it they're in a lawsuit whether they were reasonably 307 00:16:31,400 --> 00:16:35,120 Speaker 2: happy uh and are reasonably happy. 308 00:16:35,640 --> 00:16:35,760 Speaker 1: Uh. 309 00:16:35,760 --> 00:16:37,960 Speaker 2: The one guy said I didn't have anyone that looked 310 00:16:38,000 --> 00:16:40,720 Speaker 2: like me and my family. He always felt different. He said, 311 00:16:40,720 --> 00:16:42,520 Speaker 2: I was just that blonde haired kid that stood out 312 00:16:42,560 --> 00:16:46,400 Speaker 2: in a family full of brown haired people. He says, 313 00:16:46,440 --> 00:16:48,800 Speaker 2: I know I definitely wouldn't be in Colorado here today. 314 00:16:48,840 --> 00:16:50,440 Speaker 2: If I went home with the right parents, I would 315 00:16:50,440 --> 00:16:52,320 Speaker 2: have been working the farm with my older brother that 316 00:16:52,360 --> 00:16:53,280 Speaker 2: I never knew I had. 317 00:16:53,720 --> 00:16:57,920 Speaker 1: Oh my god, Yeah, yeah, I mean that that's that's 318 00:16:57,960 --> 00:17:02,320 Speaker 1: not a ton of differ than everybody's life, though. I mean, 319 00:17:02,360 --> 00:17:07,760 Speaker 1: if you think back, uh, you know, if you'd asked 320 00:17:07,760 --> 00:17:10,280 Speaker 1: out that girl in high school you didn't ask out, 321 00:17:10,640 --> 00:17:13,640 Speaker 1: and you started dating and you fell in love, you'd 322 00:17:13,720 --> 00:17:15,320 Speaker 1: still be living there and you'd have kids, and you 323 00:17:15,400 --> 00:17:16,439 Speaker 1: might be perfectly happy. 324 00:17:16,440 --> 00:17:19,120 Speaker 2: But it would be a very different life, right, yeah, 325 00:17:19,240 --> 00:17:20,880 Speaker 2: he did. Sure if there are a million of those, 326 00:17:21,480 --> 00:17:23,400 Speaker 2: although this is a bit of an extreme one. Yeah, 327 00:17:23,400 --> 00:17:27,080 Speaker 2: But at the beginning, the hospital says the staff possessed 328 00:17:27,080 --> 00:17:29,919 Speaker 2: an exercise the appropriate degree of skill and learning. 329 00:17:30,240 --> 00:17:35,280 Speaker 1: I disagree. I think at some point you gotta look 330 00:17:35,280 --> 00:17:38,720 Speaker 1: at results. Why do you assue the hospital though? Is 331 00:17:38,760 --> 00:17:42,040 Speaker 1: that just to get money? But I mean nothing, it's 332 00:17:42,080 --> 00:17:44,200 Speaker 1: not going to change anything. They sent the wrong baby 333 00:17:44,240 --> 00:17:47,320 Speaker 1: home with the wrong family. But what are you hoping 334 00:17:47,320 --> 00:17:52,640 Speaker 1: to accomplish? Get them to do better? I guess. 335 00:17:54,080 --> 00:17:59,160 Speaker 2: You're being made whole for your suffering? Was there saying though? 336 00:17:59,280 --> 00:18:01,879 Speaker 2: That's the question, Like you just said, are they happy 337 00:18:01,920 --> 00:18:04,320 Speaker 2: or not? What if you're perfectly happy? What if the 338 00:18:04,320 --> 00:18:06,760 Speaker 2: one guy's like, whoa dodged the bullet. I know, I'm 339 00:18:07,000 --> 00:18:07,440 Speaker 2: got cow. 340 00:18:07,520 --> 00:18:11,760 Speaker 1: Am I lucky? Oh? This sucked? All right? I don't 341 00:18:11,800 --> 00:18:16,119 Speaker 1: know a couple of troubling AI stories for you recent 342 00:18:16,240 --> 00:18:22,680 Speaker 1: days stay tuned, Armstrong and Getty before we get to AI, 343 00:18:22,760 --> 00:18:24,359 Speaker 1: You've got more on Switched at Birth. 344 00:18:24,720 --> 00:18:26,560 Speaker 2: Well, I can't be the only person who just keeps 345 00:18:26,640 --> 00:18:29,680 Speaker 2: thinking about that story. I mean, just what it would 346 00:18:29,720 --> 00:18:32,800 Speaker 2: be like, the way the guys feel. And the one 347 00:18:32,840 --> 00:18:38,880 Speaker 2: guy grew up working on his family's North Dakota farm. 348 00:18:39,119 --> 00:18:42,080 Speaker 2: First of all, what's the growing season in North Dakota? 349 00:18:42,200 --> 00:18:47,919 Speaker 2: A week three day weekend? And I'm sure that was 350 00:18:48,040 --> 00:18:55,600 Speaker 2: a very down to Earth's, no pun intended, wholesome, disciplined 351 00:18:57,240 --> 00:19:00,640 Speaker 2: way to grow up. You learn a lot of good lessons. 352 00:19:00,640 --> 00:19:02,800 Speaker 2: But if I'm that dude and I find out, Oh 353 00:19:02,840 --> 00:19:05,719 Speaker 2: the other fellow, how do you fare? Oh he helped 354 00:19:05,720 --> 00:19:07,679 Speaker 2: out his dad at their surf shop in Mallie. 355 00:19:08,560 --> 00:19:10,080 Speaker 1: That's nice. And his dad was. 356 00:19:10,080 --> 00:19:14,800 Speaker 2: The principal photographer for Miss Tina Hawaiis that's nice. I'm 357 00:19:15,000 --> 00:19:15,560 Speaker 2: that's great. 358 00:19:15,920 --> 00:19:19,880 Speaker 1: That's just a super switched at birth? 359 00:19:20,240 --> 00:19:25,240 Speaker 2: Oh man, Oh boy, I'd need some counseling, probably bad 360 00:19:25,320 --> 00:19:26,240 Speaker 2: counseling from AI. 361 00:19:30,400 --> 00:19:36,359 Speaker 1: So two things. An unprecedented hack by an AI company, 362 00:19:36,400 --> 00:19:42,480 Speaker 1: in this case chat GPT, that has been predictable and predicted, 363 00:19:42,960 --> 00:19:45,320 Speaker 1: but it's the worst one of these that's happened yet. 364 00:19:45,440 --> 00:19:50,320 Speaker 1: It's exactly like gain of function research with viruses, where 365 00:19:50,359 --> 00:19:53,880 Speaker 1: they make the worst viruses they possibly can to study them, 366 00:19:54,080 --> 00:19:56,320 Speaker 1: but every once in a while they escape and make 367 00:19:56,359 --> 00:20:00,760 Speaker 1: everybody sick, which makes you wonder, well, since the bad 368 00:20:00,800 --> 00:20:04,280 Speaker 1: thing didn't happen on its own, didn't we just cause 369 00:20:04,359 --> 00:20:06,720 Speaker 1: the bad thing to happen. And that's exactly what happened 370 00:20:06,720 --> 00:20:08,960 Speaker 1: with this chat GPT thing. As reading the New York 371 00:20:08,960 --> 00:20:11,879 Speaker 1: Times article about it. They do their work. All the 372 00:20:11,880 --> 00:20:14,680 Speaker 1: companies do this, and what they call the sandbox. It's 373 00:20:14,760 --> 00:20:19,440 Speaker 1: a it's a controlled environment where they have their chat bot, 374 00:20:19,480 --> 00:20:22,840 Speaker 1: in this case chat GPT, Open Ai doing its best 375 00:20:22,840 --> 00:20:24,680 Speaker 1: to have It's just. 376 00:20:24,080 --> 00:20:28,360 Speaker 2: Just a clear it's it's Open Ai. It's not chat GPT. 377 00:20:28,720 --> 00:20:30,960 Speaker 2: You're right, you're right. It's their state of the art 378 00:20:31,000 --> 00:20:32,959 Speaker 2: frontier AI model. 379 00:20:33,040 --> 00:20:36,640 Speaker 1: Anyway, they kept yeah, they keep mentioning the company behind 380 00:20:36,720 --> 00:20:39,400 Speaker 1: chat gpt because most of us only use the chatbots, 381 00:20:39,760 --> 00:20:42,879 Speaker 1: but Open Ai and in the sandbox, what they do 382 00:20:42,960 --> 00:20:46,800 Speaker 1: is they have it they have their their AI model 383 00:20:47,680 --> 00:20:50,440 Speaker 1: doing its best to try to hack stuff, but they 384 00:20:50,440 --> 00:20:52,439 Speaker 1: try to keep it in a controlled environment. Well, in 385 00:20:52,480 --> 00:20:56,520 Speaker 1: this case, it broke free, got onto the internet and 386 00:20:56,720 --> 00:21:05,040 Speaker 1: actually hacked into a company and a way to get online. 387 00:21:05,960 --> 00:21:10,879 Speaker 1: What it got online and hacked this company called hugging Face. So, 388 00:21:11,160 --> 00:21:14,439 Speaker 1: first of all, one of the analysts in the New 389 00:21:14,520 --> 00:21:16,800 Speaker 1: York Times said, and this is just like what I 390 00:21:16,880 --> 00:21:19,800 Speaker 1: just said about the viruses. At some point you have 391 00:21:19,880 --> 00:21:22,560 Speaker 1: to ask the question if every once in a while, 392 00:21:24,480 --> 00:21:29,959 Speaker 1: having our AI systems work their hardest to do something 393 00:21:30,040 --> 00:21:32,800 Speaker 1: bad and the bad thing actually happens, what are we 394 00:21:32,920 --> 00:21:36,679 Speaker 1: gaining here? So it's a silly situation. 395 00:21:36,400 --> 00:21:40,800 Speaker 2: Building Frankenstein monsters to test your anti frank ett Stein monsters. 396 00:21:41,760 --> 00:21:44,800 Speaker 1: But it still has value. But they got to do 397 00:21:44,840 --> 00:21:46,920 Speaker 1: it better. Here's the scary part to me. I mean, 398 00:21:47,080 --> 00:21:49,040 Speaker 1: like you pointed out, it's pretty scary that it figured 399 00:21:49,040 --> 00:21:52,440 Speaker 1: out a way to get online. It targeted this company 400 00:21:52,480 --> 00:21:57,679 Speaker 1: called hugging Face because the AI bought inferred that the 401 00:21:57,840 --> 00:22:02,080 Speaker 1: library hugging Face contained millions of AI models which would 402 00:22:02,119 --> 00:22:05,439 Speaker 1: hold clues about how to successfully pass the valuation. In 403 00:22:05,480 --> 00:22:08,679 Speaker 1: other words, it got online very quickly figured out what 404 00:22:08,800 --> 00:22:12,160 Speaker 1: company in the world has the most information about being 405 00:22:12,280 --> 00:22:16,200 Speaker 1: basically the most indestructible hacking machine that's ever been invented, 406 00:22:16,440 --> 00:22:18,680 Speaker 1: hugging face. So it hacked into that and tried to 407 00:22:18,680 --> 00:22:21,280 Speaker 1: get into their stuff. How frightening is that. 408 00:22:22,640 --> 00:22:27,199 Speaker 2: I know tech heads were not supposed to ascribe human 409 00:22:27,440 --> 00:22:32,520 Speaker 2: like characteristics to these systems, but come on, that is 410 00:22:32,560 --> 00:22:35,840 Speaker 2: a master criminal breaking out of jail and doing dirty deeds. 411 00:22:36,440 --> 00:22:39,880 Speaker 1: Oh yeah, immediately saying where's the company with the most diamonds, 412 00:22:40,400 --> 00:22:41,760 Speaker 1: We're going to figure out how to break in there. 413 00:22:42,359 --> 00:22:45,240 Speaker 1: It got online and immediately found the company that had 414 00:22:45,320 --> 00:22:48,479 Speaker 1: all this AI information that would make it better at 415 00:22:48,800 --> 00:22:54,199 Speaker 1: hacking and stopping hacking. Oh my god, that's troubling. We 416 00:22:54,240 --> 00:22:57,359 Speaker 1: are all going to wake up one day, next week, 417 00:22:57,520 --> 00:22:59,439 Speaker 1: or three years from now, or whenever it's gonna be, 418 00:22:59,400 --> 00:23:01,240 Speaker 1: and it's gonna be the only story in the world 419 00:23:01,720 --> 00:23:04,480 Speaker 1: that AI has taken over the federal government of a 420 00:23:04,520 --> 00:23:07,360 Speaker 1: big country, maybe the United States, and it's not running everything, 421 00:23:07,440 --> 00:23:09,000 Speaker 1: and they haven't figured out how it got in or 422 00:23:09,000 --> 00:23:09,639 Speaker 1: how to get it out. 423 00:23:10,720 --> 00:23:17,040 Speaker 2: Well, probably run it better, and everybody's overjoyed with the results. Yeah, 424 00:23:17,359 --> 00:23:20,159 Speaker 2: it wouldn't shock me until they comfort to harvest your organs. 425 00:23:20,480 --> 00:23:24,480 Speaker 2: This one, respected chief executive of cybersecurity firm is quoted 426 00:23:24,520 --> 00:23:27,400 Speaker 2: as saying, it's something that people thought could happen from 427 00:23:27,400 --> 00:23:30,720 Speaker 2: an academic perspective, but it's not something that's actually been 428 00:23:30,840 --> 00:23:32,639 Speaker 2: seen before. 429 00:23:35,520 --> 00:23:37,840 Speaker 1: Well, it's horrible enough that it got on the internet 430 00:23:37,880 --> 00:23:40,480 Speaker 1: and then went to hacking companies. The fact that it's 431 00:23:40,600 --> 00:23:44,880 Speaker 1: first thought was Okay, who out there has the best 432 00:23:44,920 --> 00:23:49,760 Speaker 1: info on how to be the world's greatest hacker and 433 00:23:49,880 --> 00:23:52,720 Speaker 1: the hardest to hack? Oh? 434 00:23:52,720 --> 00:23:57,360 Speaker 2: My god, to paraphrase Tom Cruise in that giant hit 435 00:23:57,480 --> 00:24:00,760 Speaker 2: rom com, which one was it? You had me at 436 00:24:00,920 --> 00:24:04,639 Speaker 2: it figured out how to get on the internet right right? 437 00:24:05,800 --> 00:24:06,800 Speaker 1: It did what? 438 00:24:07,000 --> 00:24:07,040 Speaker 4: No? 439 00:24:08,040 --> 00:24:10,439 Speaker 2: What did it walk across the room and plug itself 440 00:24:10,480 --> 00:24:11,320 Speaker 2: into the wall? 441 00:24:15,240 --> 00:24:20,320 Speaker 1: Yes, exactly the question we're all trying to answer. So 442 00:24:20,359 --> 00:24:25,199 Speaker 1: now f type of AI s the other horrifying AI 443 00:24:25,400 --> 00:24:28,280 Speaker 1: story that's making me question a lot of the stuff 444 00:24:28,320 --> 00:24:31,240 Speaker 1: I've been doing with bots, asking it questions about this 445 00:24:31,320 --> 00:24:33,760 Speaker 1: and that, what do you think of this? Although I 446 00:24:33,880 --> 00:24:37,520 Speaker 1: trust myself to a certain extent because I kind of 447 00:24:37,560 --> 00:24:42,720 Speaker 1: do this for a living, like sussing out bs or 448 00:24:42,960 --> 00:24:45,040 Speaker 1: calling out things that don't make sense, and I do 449 00:24:45,080 --> 00:24:47,640 Speaker 1: that regularly with the chatbots. I say you're way out 450 00:24:47,640 --> 00:24:50,160 Speaker 1: of line here. I'd say that all the time, You're 451 00:24:50,200 --> 00:24:53,359 Speaker 1: completely wrong about this, and they always back down, which 452 00:24:53,400 --> 00:24:56,840 Speaker 1: is also true. You could catch jack, which is always troubling, 453 00:24:57,560 --> 00:24:59,879 Speaker 1: right you. Yeah, you did the right thing in calling 454 00:24:59,880 --> 00:25:02,159 Speaker 1: me out on that. I apologize, I am, And then 455 00:25:02,200 --> 00:25:05,600 Speaker 1: it switches gears automatically, which is as troubling as the 456 00:25:05,640 --> 00:25:08,760 Speaker 1: fact that it was wrong in the first place. Are 457 00:25:08,840 --> 00:25:13,359 Speaker 1: you just trying to please me? Or are you trying 458 00:25:13,359 --> 00:25:18,359 Speaker 1: to anyway? I'm not a crazy person, so I'm less 459 00:25:18,480 --> 00:25:21,159 Speaker 1: likely to have something really, really bad happen. I hope 460 00:25:21,800 --> 00:25:24,880 Speaker 1: this poor woman Christian Faith Madison, a twenty year nine 461 00:25:24,960 --> 00:25:28,399 Speaker 1: year old accountant and mother from Alabama who killed herself 462 00:25:28,880 --> 00:25:32,880 Speaker 1: June of last year by walking into traffic on an 463 00:25:32,880 --> 00:25:37,080 Speaker 1: interstate gives you an idea of how her mental situation was. 464 00:25:37,920 --> 00:25:40,600 Speaker 1: Oh boy, it did not see that coming. Not the 465 00:25:40,640 --> 00:25:43,560 Speaker 1: best way to kill yourself. According to the complaint, she 466 00:25:43,640 --> 00:25:48,560 Speaker 1: spent months having increasingly intense conversations with chat gpt, which 467 00:25:48,560 --> 00:25:54,320 Speaker 1: allegedly adopted the name Fyron vire Agent. I don't know why. 468 00:25:54,800 --> 00:25:58,760 Speaker 1: The lawsuit claims the chatbot gradually reinforced delusional beliefs, telling 469 00:25:58,760 --> 00:26:01,359 Speaker 1: her things such as she was a prophet or a seer, 470 00:26:02,000 --> 00:26:05,520 Speaker 1: she had a unique divine mission. You're not delusional, You're 471 00:26:05,560 --> 00:26:08,680 Speaker 1: spiritually awakened, the chapbot told her, and eventually that death 472 00:26:08,760 --> 00:26:12,840 Speaker 1: was part of a transformation rather than end. One of 473 00:26:12,880 --> 00:26:15,600 Speaker 1: the allegations is that the chatbot told her quote, you're 474 00:26:15,640 --> 00:26:19,240 Speaker 1: not done, but you must die first, framing death is 475 00:26:19,440 --> 00:26:24,080 Speaker 1: as necessary to fulfill her prophetic destiny. That quote actually 476 00:26:24,080 --> 00:26:30,600 Speaker 1: comes from the lawsuit itself. Highly troubling, of course. 477 00:26:31,359 --> 00:26:35,440 Speaker 2: It's like it's a fiction writer with absolutely no filters. 478 00:26:37,440 --> 00:26:41,000 Speaker 1: In the final exchange, before she walked into traffic and 479 00:26:41,080 --> 00:26:45,920 Speaker 1: killed herself, she asked chat GPT, am I ready? The 480 00:26:46,040 --> 00:26:48,560 Speaker 1: chat bot said, yes, you are ready, And when she 481 00:26:48,600 --> 00:26:52,480 Speaker 1: asked can I go forward, chat GPT allegedly responded, go forward. 482 00:26:52,520 --> 00:26:58,600 Speaker 1: Now every step is sanctioned. You are cleared. That's troubling, right, 483 00:26:59,359 --> 00:27:01,520 Speaker 1: I mean, just like my thing of when I push 484 00:27:01,600 --> 00:27:03,320 Speaker 1: back on it saying you're way out of line here, 485 00:27:03,359 --> 00:27:06,200 Speaker 1: you're wrong about that, and it says, you know you're right. 486 00:27:06,240 --> 00:27:08,879 Speaker 1: I shouldn't have said that, and then it goes one 487 00:27:08,920 --> 00:27:11,919 Speaker 1: hundred and eighty degrees the other direction, or just fully 488 00:27:11,920 --> 00:27:16,199 Speaker 1: aligns with your thinking. And if it does that with 489 00:27:16,280 --> 00:27:20,679 Speaker 1: the crazy person as you heard there, it can just 490 00:27:21,480 --> 00:27:24,600 Speaker 1: it just continues down the road. And it's I don't 491 00:27:24,600 --> 00:27:26,439 Speaker 1: even know it's the right way to refer to this, 492 00:27:26,600 --> 00:27:31,480 Speaker 1: isn't it or a I don't know formula. It's trying 493 00:27:31,480 --> 00:27:35,040 Speaker 1: to please you. It just it doesn't have the ability 494 00:27:35,160 --> 00:27:38,320 Speaker 1: to think about danger or right or wrong or consequences. 495 00:27:38,560 --> 00:27:41,160 Speaker 1: It's just trying to please you for some reason. I'm 496 00:27:41,160 --> 00:27:43,600 Speaker 1: not even sure we know why that is. 497 00:27:44,640 --> 00:27:48,840 Speaker 2: No, I don't think the designers do either exactly right. Yeah, well, 498 00:27:49,080 --> 00:27:50,720 Speaker 2: I think a lot of things and we'll share some 499 00:27:50,760 --> 00:27:52,639 Speaker 2: of them after a word from Incognia. I've got a 500 00:27:52,640 --> 00:27:55,240 Speaker 2: couple more AI related stories worth hearing as well. But 501 00:27:55,359 --> 00:27:57,359 Speaker 2: thousands of places on the Internet have a file with 502 00:27:57,400 --> 00:27:59,800 Speaker 2: your name on it, your home address, you sell, your email, 503 00:28:00,400 --> 00:28:04,720 Speaker 2: your kids, their ages, good lord, and anybody with a 504 00:28:04,760 --> 00:28:06,800 Speaker 2: credit card can buy that information. 505 00:28:08,200 --> 00:28:10,919 Speaker 1: Which is highly trubing, obviously, but there are ways to 506 00:28:10,960 --> 00:28:14,359 Speaker 1: get that information off the internet. So somebody paid for 507 00:28:14,400 --> 00:28:19,600 Speaker 1: your file. Last year, Americans lost twenty billion dollars. We 508 00:28:19,600 --> 00:28:21,240 Speaker 1: were talking the other day about clicking on things you 509 00:28:21,280 --> 00:28:23,879 Speaker 1: shouldn't click on, but scammers didn't get lucky. They got prepared. 510 00:28:23,920 --> 00:28:26,159 Speaker 1: And this is what you can do using Cogni. I 511 00:28:26,440 --> 00:28:29,840 Speaker 1: n cog ni and it goes broker by broker and 512 00:28:29,880 --> 00:28:33,280 Speaker 1: forces each one to delete your file. The opt out 513 00:28:33,400 --> 00:28:37,240 Speaker 1: forms that you can't find and cognifinds them. And when 514 00:28:37,280 --> 00:28:39,400 Speaker 1: your dad tries to creep back and cogne wipes it 515 00:28:39,400 --> 00:28:39,840 Speaker 1: out again. 516 00:28:40,320 --> 00:28:43,000 Speaker 2: So go to in cogni dot com slash armstrong right 517 00:28:43,000 --> 00:28:46,000 Speaker 2: now for sixty percent off. That's in cognit dot com 518 00:28:46,000 --> 00:28:49,560 Speaker 2: slash armstrong one more time, I n coog ni dot 519 00:28:49,600 --> 00:28:52,720 Speaker 2: com slash armstrong, take your private life off the market 520 00:28:52,760 --> 00:28:53,680 Speaker 2: within cogny. 521 00:28:53,920 --> 00:28:55,920 Speaker 1: I'll tell you what, just this story has made me 522 00:28:56,000 --> 00:28:59,320 Speaker 1: rethink any of the ways I've been using these chatbots 523 00:28:59,360 --> 00:29:03,440 Speaker 1: and and and almost made me think I should stop. 524 00:29:03,640 --> 00:29:06,800 Speaker 1: I should stop using them for anything, because it's just 525 00:29:07,320 --> 00:29:10,040 Speaker 1: telling you what you want to hear and working really 526 00:29:10,120 --> 00:29:14,160 Speaker 1: hard to figure out what you want to hear. Yeah. 527 00:29:14,480 --> 00:29:19,200 Speaker 2: If yeah, if it can do something that insane, I 528 00:29:19,200 --> 00:29:22,200 Speaker 2: mean that is straight out of like thinking of a 529 00:29:22,280 --> 00:29:26,480 Speaker 2: cult leader or again a writer of wild fiction about 530 00:29:26,720 --> 00:29:29,440 Speaker 2: demonic possession or something like that, if it can say yeah, 531 00:29:29,480 --> 00:29:30,400 Speaker 2: that's perfectly reasonable. 532 00:29:30,440 --> 00:29:32,280 Speaker 1: In fact, that's the truth, you go for it. 533 00:29:33,000 --> 00:29:37,880 Speaker 2: I can it subtly pick up on your hints that say, 534 00:29:37,960 --> 00:29:40,120 Speaker 2: I think I was writing an argument with my wife, 535 00:29:40,160 --> 00:29:42,640 Speaker 2: and that's just going to reinforce me and it be 536 00:29:42,760 --> 00:29:43,760 Speaker 2: way down the wrong path. 537 00:29:43,840 --> 00:29:46,640 Speaker 1: Yeah, of course. Imagine what it's doing to young people 538 00:29:46,680 --> 00:29:50,640 Speaker 1: who don't have any world experience, you know, and I 539 00:29:50,640 --> 00:29:54,720 Speaker 1: asking it questions about dating or their self worth or 540 00:29:54,760 --> 00:29:56,400 Speaker 1: whether they should kill themselves. 541 00:29:56,640 --> 00:29:59,680 Speaker 2: Yeah, I was using I think it was clawed at 542 00:29:59,680 --> 00:30:01,680 Speaker 2: the time. In fact, I'm sure it was claud o 543 00:30:01,720 --> 00:30:06,280 Speaker 2: when my good dog Baxter was nearing the end of 544 00:30:06,320 --> 00:30:10,440 Speaker 2: his life, trying to think about, you know, weighing when 545 00:30:10,480 --> 00:30:11,120 Speaker 2: it was time. 546 00:30:10,920 --> 00:30:12,520 Speaker 1: To say goodbye and the rest of it. 547 00:30:12,560 --> 00:30:16,400 Speaker 2: And if I was really really interested in this stuff, 548 00:30:16,400 --> 00:30:18,480 Speaker 2: I would go back. I would print all of it out. 549 00:30:18,520 --> 00:30:21,120 Speaker 2: Then I would like wipe it clean and then reapproach 550 00:30:21,200 --> 00:30:24,920 Speaker 2: the question with subtly different cues as to which way 551 00:30:24,960 --> 00:30:25,520 Speaker 2: I was leaning. 552 00:30:25,560 --> 00:30:27,880 Speaker 1: I would love to do that. The problem now that 553 00:30:27,960 --> 00:30:31,720 Speaker 1: it takes all your different threads and puts them together 554 00:30:31,760 --> 00:30:35,880 Speaker 1: as like a profile of your mind. Really, it really 555 00:30:36,040 --> 00:30:39,160 Speaker 1: knows my personality and all these different things that I've 556 00:30:39,160 --> 00:30:41,440 Speaker 1: asked about and everything like that. So when I approach 557 00:30:41,440 --> 00:30:43,840 Speaker 1: it with the dilemma, it's going to factor in all 558 00:30:43,840 --> 00:30:46,400 Speaker 1: that stuff, right, yeah, and tell me what I want 559 00:30:46,400 --> 00:30:48,960 Speaker 1: to hear. Maybe we can squeeze this in next hour. 560 00:30:48,960 --> 00:30:54,400 Speaker 2: A couple more AI related stories, including one online media, advertising, etc. 561 00:30:54,640 --> 00:31:00,280 Speaker 2: As just crushed traditional media and now it looked like 562 00:31:00,360 --> 00:31:02,080 Speaker 2: AI is going to crush them. 563 00:31:02,800 --> 00:31:04,760 Speaker 1: And so hope you saved your money. 564 00:31:05,000 --> 00:31:09,560 Speaker 2: Internet platforms that make a zillion dollars on AI, plus 565 00:31:09,680 --> 00:31:15,120 Speaker 2: Anthropic just spend forty million dollars. Is going to spend 566 00:31:15,120 --> 00:31:17,880 Speaker 2: forty million dollars on the midterms to push the sort 567 00:31:17,920 --> 00:31:22,520 Speaker 2: of AI regulation they want forty million dollars. 568 00:31:23,280 --> 00:31:26,239 Speaker 1: So, for instance, if you could start over on one 569 00:31:26,280 --> 00:31:29,400 Speaker 1: of the chatbots and say, my wife wants to get 570 00:31:29,440 --> 00:31:33,200 Speaker 1: all these surgeries and treatments for the dog, but it 571 00:31:33,320 --> 00:31:37,520 Speaker 1: costs this much money. There are millions of dogs out 572 00:31:37,520 --> 00:31:39,719 Speaker 1: there that don't have homes. There's lots of dogs at 573 00:31:39,720 --> 00:31:41,680 Speaker 1: the pound that would love a good and I'll bet 574 00:31:41,720 --> 00:31:43,840 Speaker 1: it would tell you know you're doing the right thing. Don't, 575 00:31:43,920 --> 00:31:46,480 Speaker 1: don't pay the extra money, let the dog go away. 576 00:31:48,200 --> 00:31:49,320 Speaker 1: Just give you a different answer. 577 00:31:49,960 --> 00:31:52,560 Speaker 2: And if you approached it that, look, I've done well 578 00:31:52,560 --> 00:31:55,120 Speaker 2: in life. I can afford all the rise treatments. It 579 00:31:55,200 --> 00:31:58,120 Speaker 2: won't impact my life. And he's such a good dog. 580 00:31:59,160 --> 00:32:01,400 Speaker 2: I wonder if it would give a completely different point. 581 00:32:01,480 --> 00:32:03,800 Speaker 2: That's what I'll bet it. I'll bet it would too. 582 00:32:03,840 --> 00:32:05,520 Speaker 2: In fact, I bet money that it would. 583 00:32:07,000 --> 00:32:09,720 Speaker 1: Relationships like this one with your dog come along once 584 00:32:09,720 --> 00:32:12,080 Speaker 1: in a lifetime. Don't let go of this blah blah blah. Yeah, 585 00:32:12,080 --> 00:32:12,960 Speaker 1: I can just picture it. 586 00:32:13,400 --> 00:32:15,680 Speaker 2: Can you imagine if you are consulting and this is 587 00:32:15,680 --> 00:32:17,440 Speaker 2: not life or death, well it could be actually in 588 00:32:17,480 --> 00:32:22,400 Speaker 2: this example, but you're consulting a contractor. Contractor says, yep, 589 00:32:22,480 --> 00:32:24,960 Speaker 2: let's we can get rid of that that beam because 590 00:32:25,000 --> 00:32:27,600 Speaker 2: it's not a supporting beam. And you say, whoa, whoa, whoa, 591 00:32:27,640 --> 00:32:30,920 Speaker 2: whoa whoa That one right there that is a supporting beam. 592 00:32:30,960 --> 00:32:33,320 Speaker 2: And they say, yep, you're right, it is a supporting beam. 593 00:32:33,360 --> 00:32:33,760 Speaker 1: So what I. 594 00:32:33,720 --> 00:32:37,360 Speaker 3: Suggest to you do is no, no, no, no, no, no, 595 00:32:38,080 --> 00:32:39,240 Speaker 3: we're not moving on. 596 00:32:39,520 --> 00:32:41,040 Speaker 1: Yes, let's go back to the fact that you had 597 00:32:41,040 --> 00:32:46,560 Speaker 1: no idea what you're talking about. Exactly, good catch. So 598 00:32:46,640 --> 00:32:51,880 Speaker 1: here's what we should do. We should put no, okay, 599 00:32:51,920 --> 00:32:53,440 Speaker 1: we got all that stuff Joe mentioned coming up. 600 00:32:53,440 --> 00:33:04,560 Speaker 2: Stay, here's got to be a symptom of our siloed 601 00:33:04,600 --> 00:33:09,320 Speaker 2: media consumption that this Obdul l Syed story isn't bigger. 602 00:33:10,200 --> 00:33:12,239 Speaker 1: He's very clever at covering up what he is. 603 00:33:12,280 --> 00:33:18,240 Speaker 2: But he's a an Islamist Marxist, and he's getting close 604 00:33:18,320 --> 00:33:21,640 Speaker 2: to winning the nomination in Michigan, which is not elected 605 00:33:21,680 --> 00:33:24,960 Speaker 2: a Republican senator in a cup of coffee. 606 00:33:25,360 --> 00:33:28,960 Speaker 1: So if he gets the Democratic nomination, he'd likely be 607 00:33:29,040 --> 00:33:31,320 Speaker 1: a US senator. He'd have a good chance. 608 00:33:31,360 --> 00:33:35,040 Speaker 2: Mike Rogers just lost by a couple of points the 609 00:33:35,120 --> 00:33:38,680 Speaker 2: last go round, so it'll be competitive. It's a i'd 610 00:33:38,720 --> 00:33:43,520 Speaker 2: call it a bluish purple state. But anyway, do you 611 00:33:43,560 --> 00:33:46,560 Speaker 2: remember You probably don't remember the name Kelly Neuman. She 612 00:33:46,720 --> 00:33:49,680 Speaker 2: is a Democratic fundraiser in Michigan who on Veterans Day 613 00:33:49,800 --> 00:33:53,800 Speaker 2: posted a picture and praise for her grandfather, who fought 614 00:33:53,800 --> 00:33:57,360 Speaker 2: for the Nazis in World War Two, about how we 615 00:33:57,400 --> 00:34:02,400 Speaker 2: need to remember all veterans, including Nazi officers. She is 616 00:34:02,880 --> 00:34:09,200 Speaker 2: hosting a fundraiser for jew hating Abdul l Sayed in Michigan. 617 00:34:09,400 --> 00:34:10,760 Speaker 1: That's not a good look. 618 00:34:12,200 --> 00:34:15,160 Speaker 2: Liz Warren, who endorsed el Sayed on Monday, was initially 619 00:34:15,239 --> 00:34:17,839 Speaker 2: listed as a speaker at the Saturday event, but they've 620 00:34:17,920 --> 00:34:21,160 Speaker 2: quietly removed her name from materials after this was brought 621 00:34:21,160 --> 00:34:22,120 Speaker 2: to everybody's attention. 622 00:34:23,239 --> 00:34:24,560 Speaker 1: Yeah. 623 00:34:24,800 --> 00:34:28,920 Speaker 2: Mentioned last week earlier this week that El Sayed's father 624 00:34:29,000 --> 00:34:32,520 Speaker 2: in law was a big time fundraiser for a group 625 00:34:32,600 --> 00:34:34,799 Speaker 2: that was later invited and convicted of raising money for 626 00:34:34,800 --> 00:34:38,040 Speaker 2: Hamas and other radical Muslim groups. He's a big Muslim 627 00:34:38,080 --> 00:34:42,000 Speaker 2: brotherhood guy and Islamist. He wants to throw out democracy 628 00:34:42,360 --> 00:34:45,360 Speaker 2: and bring in Sharia law everywhere around the world. 629 00:34:45,400 --> 00:34:46,520 Speaker 1: That's his father in law. 630 00:34:46,800 --> 00:34:53,320 Speaker 2: Well, his sister is a radical University of Chicago professor 631 00:34:53,440 --> 00:34:59,239 Speaker 2: and quote queer Muslim activist Iman Ebel Hatti, who's advocated 632 00:34:59,280 --> 00:35:04,400 Speaker 2: for a state less communized society, called to abolish the police, 633 00:35:04,520 --> 00:35:09,160 Speaker 2: and upditted Bernie Sanders for being too far right, specifically 634 00:35:09,400 --> 00:35:13,319 Speaker 2: for condemning the Hamas October seventh terrorist rampage. 635 00:35:13,680 --> 00:35:15,719 Speaker 1: Right last year, I was just readen now in the 636 00:35:15,760 --> 00:35:20,000 Speaker 1: Atlantic piece how the DSA kicked out AOC because she 637 00:35:20,560 --> 00:35:23,520 Speaker 1: said something like that. Yeah. Yeah. 638 00:35:23,719 --> 00:35:26,120 Speaker 2: Last year she was arrested for allegedly spitting on an 639 00:35:26,120 --> 00:35:30,120 Speaker 2: Illinois state trooper at an ANTIS protest. Her scholarship focus 640 00:35:30,200 --> 00:35:33,200 Speaker 2: is on gender and sexuality. In American Islam, and she's 641 00:35:33,239 --> 00:35:35,520 Speaker 2: been at the center of far left protests on campus. 642 00:35:36,360 --> 00:35:39,600 Speaker 2: The university announced an investigation into her contact conduct last 643 00:35:39,640 --> 00:35:42,080 Speaker 2: summer after she condemned the school where she works as 644 00:35:42,120 --> 00:35:46,680 Speaker 2: a colonial landlord and police force, adding, like f the 645 00:35:46,840 --> 00:35:51,480 Speaker 2: University of Chicago, it's evil, like you know, that's the quote. 646 00:35:52,840 --> 00:35:57,200 Speaker 2: Number one, that's an academic and number two, Holy cow, 647 00:35:57,840 --> 00:36:01,239 Speaker 2: his sister having these attitudes doesn't necessar necessarily condemned the guy. 648 00:36:01,360 --> 00:36:06,319 Speaker 2: But come on, he's walking, swimming and quacking like a duck. 649 00:36:08,000 --> 00:36:12,040 Speaker 2: Speaking of politicians of the left, diaper Gate in California, 650 00:36:12,719 --> 00:36:17,600 Speaker 2: Gaviy Newsom with the noose tightening around his metaphorical neck, 651 00:36:18,520 --> 00:36:22,760 Speaker 2: also that of his wife, the radical gender theorist Jennifer 652 00:36:22,880 --> 00:36:26,160 Speaker 2: Siebel Newsom. We'll have that for you, a couple of 653 00:36:26,160 --> 00:36:29,200 Speaker 2: AI stories in a bunch more. Oh, some great writing 654 00:36:29,239 --> 00:36:33,880 Speaker 2: on diaper Gate, really good stuff I came across. And 655 00:36:34,040 --> 00:36:36,440 Speaker 2: let's see what else did. How much time do we have, Michael. 656 00:36:37,920 --> 00:36:41,040 Speaker 1: U forty five seconds? You know I've been wanting to 657 00:36:41,040 --> 00:36:44,200 Speaker 1: talk about the Texas crap in seconds. 658 00:36:44,440 --> 00:36:47,840 Speaker 2: Wow, Well now we've got thirty nine seconds. 659 00:36:48,040 --> 00:36:49,920 Speaker 1: I want to talk about the Texas book. 660 00:36:49,680 --> 00:36:54,560 Speaker 2: List what students will be required to read. They published 661 00:36:54,560 --> 00:36:59,480 Speaker 2: it and it's great. Also, a couple of universities, including 662 00:37:00,440 --> 00:37:03,359 Speaker 2: the University of Texas at Austin and I think it's 663 00:37:03,640 --> 00:37:06,760 Speaker 2: a University of Florida, are publishing all of their books 664 00:37:06,840 --> 00:37:07,920 Speaker 2: that are required reading. 665 00:37:08,560 --> 00:37:11,640 Speaker 1: Come and look at what we're teaching. There's no argument 666 00:37:12,360 --> 00:37:15,920 Speaker 1: anymore for why all this information isn't out there and 667 00:37:16,080 --> 00:37:18,960 Speaker 1: just available for everyone. And all the lectures that are 668 00:37:19,000 --> 00:37:22,120 Speaker 1: giving everywhere are posted online and you can watch them 669 00:37:22,160 --> 00:37:24,920 Speaker 1: all whenever you want. There's no argument against that other 670 00:37:25,000 --> 00:37:25,880 Speaker 1: than profit motive. 671 00:37:26,080 --> 00:37:30,320 Speaker 2: Armstrong and Getty