1 00:00:00,160 --> 00:00:00,200 Speaker 1: No. 2 00:00:00,320 --> 00:00:01,960 Speaker 2: First, well, let me two things I would say. Number 3 00:00:01,960 --> 00:00:04,680 Speaker 2: one is, no matter what, ultimately, this operation needed to happen. 4 00:00:04,720 --> 00:00:07,440 Speaker 2: That's the question of why now. But this operation needed 5 00:00:07,480 --> 00:00:09,840 Speaker 2: to happen because Iran in about a year or a 6 00:00:09,960 --> 00:00:11,799 Speaker 2: year and a half would cross the line of immunity, 7 00:00:11,880 --> 00:00:13,600 Speaker 2: meaning they would have so many short range. 8 00:00:13,400 --> 00:00:16,520 Speaker 3: Missiles, so many drones that no one could do anything about. 9 00:00:16,280 --> 00:00:18,520 Speaker 2: It because they could hold the whole world hostage. Look 10 00:00:18,520 --> 00:00:20,759 Speaker 2: at the damage they're doing now and this is a 11 00:00:20,800 --> 00:00:22,919 Speaker 2: weekend Iran, imagine a year from now. 12 00:00:23,079 --> 00:00:24,040 Speaker 3: So that had to happen. 13 00:00:24,079 --> 00:00:27,120 Speaker 2: Obviously, we were aware of its really intentions and understood 14 00:00:27,120 --> 00:00:28,479 Speaker 2: what that would mean for us, and we had to 15 00:00:28,520 --> 00:00:30,160 Speaker 2: be prepared to act as a result of it. 16 00:00:30,240 --> 00:00:31,840 Speaker 3: But this had to happen, no matter what. 17 00:00:39,240 --> 00:00:40,159 Speaker 4: Marco Rubio. 18 00:00:40,400 --> 00:00:47,200 Speaker 5: Yesterday, we'll have more audio to share during a press 19 00:00:47,200 --> 00:00:52,839 Speaker 5: conference laying out justification for Operation Epic Fury, and we 20 00:00:52,880 --> 00:00:57,520 Speaker 5: will update you on everything that has transpired overnight. On 21 00:00:57,560 --> 00:00:59,920 Speaker 5: this morning show. It's Twin City's News Talking. I'm eleven 22 00:01:00,840 --> 00:01:03,920 Speaker 5: one h three five FM. My name is John Justice. 23 00:01:03,960 --> 00:01:06,920 Speaker 5: In the studio next door is Sam That would be 24 00:01:07,000 --> 00:01:11,120 Speaker 5: Master Control Busy show today. Devid Gartzenstein Ross will be 25 00:01:11,160 --> 00:01:14,840 Speaker 5: answering your artificial intelligence related questions, and we're going to 26 00:01:15,080 --> 00:01:22,319 Speaker 5: talk with David about the usage of AI within the 27 00:01:22,360 --> 00:01:27,480 Speaker 5: ongoing operations against Aaron. Also for a Tuesday, a bit 28 00:01:27,480 --> 00:01:30,120 Speaker 5: of a change this week, Liz Colin from Alpha News 29 00:01:30,120 --> 00:01:33,240 Speaker 5: will be joining us early earlier day, earlier time at 30 00:01:33,440 --> 00:01:36,960 Speaker 5: seven thirty. We'll run through several stories from Alpha News 31 00:01:37,000 --> 00:01:39,839 Speaker 5: when Liz joins us at seven thirty, and then coming 32 00:01:39,920 --> 00:01:42,800 Speaker 5: up in the eight o'clock hour at eight thirty, we 33 00:01:42,959 --> 00:01:48,120 Speaker 5: have a special guest, not Kendall, Quall's gubernatorial candidate, but 34 00:01:48,920 --> 00:01:53,240 Speaker 5: somebody related to the campaign, so a bit of a preview, 35 00:01:53,440 --> 00:01:56,200 Speaker 5: kind of a surprise guest. I'll give you more details 36 00:01:56,240 --> 00:01:58,200 Speaker 5: when we get past at eight o'clock this morning, but 37 00:01:58,240 --> 00:02:01,480 Speaker 5: definitely don't want to miss this coming up at eight 38 00:02:01,560 --> 00:02:04,480 Speaker 5: thirty today. Let's start here though, before we get into 39 00:02:04,520 --> 00:02:09,800 Speaker 5: everything that's transpired overnight regarding the continued operations against Iran. 40 00:02:09,880 --> 00:02:14,639 Speaker 5: There was a Supreme Court ruling yesterday of rather large significance. 41 00:02:15,560 --> 00:02:18,600 Speaker 5: The Scots ended up siding with a group of parents 42 00:02:18,919 --> 00:02:24,120 Speaker 5: challenging a California policy that allowed schools to keep kids 43 00:02:24,720 --> 00:02:29,880 Speaker 5: so called that gender transitions a secret. The six to 44 00:02:29,880 --> 00:02:33,640 Speaker 5: three decision on Monday, wherein the justices said that the 45 00:02:33,680 --> 00:02:37,440 Speaker 5: California policies that block schools from notifying parents about their 46 00:02:37,520 --> 00:02:41,280 Speaker 5: child's desire to change their sex and be referred to 47 00:02:41,400 --> 00:02:48,120 Speaker 5: by incorrect pronouns likely violate their religious liberty. Some I 48 00:02:48,160 --> 00:02:52,520 Speaker 5: tell you, I'm shocked. Thank goodness, we have the Supreme 49 00:02:52,560 --> 00:02:55,240 Speaker 5: Court makeup that we do right now. The ruling comes 50 00:02:55,320 --> 00:02:58,680 Speaker 5: after the Ninth Circus Court of Appeals struck down the 51 00:02:58,680 --> 00:03:03,920 Speaker 5: lower court's ruling citing parents challenging California's policies. The Supreme 52 00:03:03,960 --> 00:03:07,600 Speaker 5: Court majority wrote, we conclude that parents who seek religious 53 00:03:07,639 --> 00:03:11,359 Speaker 5: exemptions are likely to succeed on the merits of their 54 00:03:11,400 --> 00:03:15,800 Speaker 5: free exercise clause claim. The parents who assert a free 55 00:03:15,840 --> 00:03:20,800 Speaker 5: exercise to claim to have sincere religious beliefs about sex 56 00:03:20,840 --> 00:03:24,720 Speaker 5: and gender, and they feel a religious obligation to raise 57 00:03:24,760 --> 00:03:30,119 Speaker 5: their children in according to those beliefs. California policies violate 58 00:03:30,240 --> 00:03:34,400 Speaker 5: those beliefs. It's stunning that we even have that we 59 00:03:34,400 --> 00:03:37,640 Speaker 5: actually have to go here. I mean, that's the sort 60 00:03:37,640 --> 00:03:40,680 Speaker 5: of sidebar to this whole thing, that we actually had 61 00:03:40,680 --> 00:03:44,760 Speaker 5: to send something that is so rational and common sense 62 00:03:45,280 --> 00:03:48,880 Speaker 5: filled that it ended up in the Supreme Court. The 63 00:03:48,920 --> 00:03:52,320 Speaker 5: California Department of Medication argued that the challenge should be 64 00:03:52,360 --> 00:03:55,480 Speaker 5: considered moot because they claim that the frequently Asked a 65 00:03:55,560 --> 00:03:59,160 Speaker 5: Questions page posted by the department has been edited to 66 00:03:59,200 --> 00:04:02,840 Speaker 5: show that they do not mandate parental exclusion, and so 67 00:04:02,880 --> 00:04:04,360 Speaker 5: there's no more. 68 00:04:04,240 --> 00:04:05,360 Speaker 4: Cause for complaints. 69 00:04:06,360 --> 00:04:09,080 Speaker 5: Now the guidance was deleted, but you and I both 70 00:04:09,120 --> 00:04:10,800 Speaker 5: know it's not enough. When it comes to the left, 71 00:04:12,040 --> 00:04:15,400 Speaker 5: these types of policies, often just spoken and not written, 72 00:04:15,960 --> 00:04:21,680 Speaker 5: continue to be used by radical teachers whose goals aren't 73 00:04:21,680 --> 00:04:27,360 Speaker 5: to go and educate the students, but to indoctrinate, policies 74 00:04:27,400 --> 00:04:29,560 Speaker 5: that kept parents in the dark about their children. The 75 00:04:29,640 --> 00:04:32,120 Speaker 5: Daily Wire piece goes on to say, and as I 76 00:04:32,200 --> 00:04:36,320 Speaker 5: just mentioned, we're still promoted in statewide teacher trainings according 77 00:04:36,320 --> 00:04:42,400 Speaker 5: to documents uncovered by Thomas Moore Society. Paul Johnnam, special 78 00:04:42,440 --> 00:04:45,960 Speaker 5: counsel with the Thomas Moore Society and partner with the 79 00:04:46,240 --> 00:04:48,360 Speaker 5: law firm that was a part of this lawsuit. So 80 00:04:48,520 --> 00:04:51,880 Speaker 5: the ruling was a major victory for parents. It's a 81 00:04:51,920 --> 00:04:55,559 Speaker 5: watershed moment for parental rights in America. The Supreme Court 82 00:04:55,600 --> 00:04:59,120 Speaker 5: has told California and every state in the nation that 83 00:04:59,240 --> 00:05:05,640 Speaker 5: in no unset terms, you cannot secretly transition a child behind. 84 00:05:05,880 --> 00:05:06,640 Speaker 4: A parent's back. 85 00:05:07,279 --> 00:05:12,800 Speaker 5: The Court's landmark affirmation of a substantive due process, its 86 00:05:12,920 --> 00:05:16,400 Speaker 5: vindication of religious liberty, and its approval of class wide 87 00:05:16,480 --> 00:05:21,680 Speaker 5: relief together set a historic precedent that will dismantle secret 88 00:05:21,920 --> 00:05:27,240 Speaker 5: gender transition policies across the country. Of no surprise, the 89 00:05:27,320 --> 00:05:31,839 Speaker 5: liberal Supreme Court justices Kagan so to my oor Brown 90 00:05:31,960 --> 00:05:36,880 Speaker 5: Jackson wanted two block the parent's challenge the real world support, 91 00:05:37,920 --> 00:05:40,359 Speaker 5: and I throw real world. 92 00:05:40,240 --> 00:05:41,880 Speaker 4: Doing the thing with my fingers in air quotes. 93 00:05:42,120 --> 00:05:44,760 Speaker 5: The real world support was never a majority or even 94 00:05:44,839 --> 00:05:48,599 Speaker 5: significant regarding policies like this. It was always manufactured to 95 00:05:48,760 --> 00:05:52,200 Speaker 5: look like it was widely accepted by the masses. 96 00:05:52,360 --> 00:05:53,640 Speaker 4: And it was never about the children. 97 00:05:53,680 --> 00:05:57,680 Speaker 5: For Democrats, it was about the latter, a show of 98 00:05:57,920 --> 00:06:03,440 Speaker 5: perceived policy strength, to issue strength, to intimidate and discredit 99 00:06:03,560 --> 00:06:08,480 Speaker 5: anyone who believes otherwise. I have my own baseline standard 100 00:06:08,480 --> 00:06:10,800 Speaker 5: of which I judge these issues on beyond common sense 101 00:06:10,839 --> 00:06:14,880 Speaker 5: and irrational thought. If a ruling like this makes representative 102 00:06:14,960 --> 00:06:17,880 Speaker 5: Lee Finkey a biological man pretending to be a woman sad, 103 00:06:18,120 --> 00:06:19,240 Speaker 5: then I support the decision. 104 00:06:19,240 --> 00:06:21,000 Speaker 4: It's quite it's quite that simple. 105 00:06:21,600 --> 00:06:21,760 Speaker 6: Oh. 106 00:06:21,800 --> 00:06:24,480 Speaker 5: Speaking of which, and I'll share with you some audio 107 00:06:24,520 --> 00:06:26,279 Speaker 5: coming up in just a moment. There was a committee 108 00:06:26,279 --> 00:06:30,840 Speaker 5: hearing in Saint Paul during the legislative session where Lee 109 00:06:30,920 --> 00:06:34,599 Speaker 5: Finkey was trying to force federal agents to unmask which 110 00:06:34,640 --> 00:06:37,160 Speaker 5: I find amusing while he's masquerading as something he is 111 00:06:37,200 --> 00:06:39,960 Speaker 5: not every single dale again, share with you the audio 112 00:06:40,240 --> 00:06:43,480 Speaker 5: of that coming up in just a moment. Also, ahead 113 00:06:43,480 --> 00:06:46,800 Speaker 5: of the conversation with Davite Gartenstein Ross talking artificial intelligence, 114 00:06:47,160 --> 00:06:54,760 Speaker 5: US Representative Angie Craig kind of stunning saying that she 115 00:06:54,960 --> 00:06:59,560 Speaker 5: regrets her vote on last year's Lake and Riley Act. 116 00:07:00,279 --> 00:07:02,880 Speaker 5: I think she may be regretting her decision to run 117 00:07:02,920 --> 00:07:05,120 Speaker 5: for Senate at this point in time. We'll give you 118 00:07:05,160 --> 00:07:08,080 Speaker 5: details on this. If you have any questions for David 119 00:07:08,360 --> 00:07:11,280 Speaker 5: Gartenstein Ross a head a six thirty, you can drop 120 00:07:11,320 --> 00:07:14,000 Speaker 5: me an email Justice at iHeartRadio dot com or leave 121 00:07:14,040 --> 00:07:17,200 Speaker 5: a talkback question on the iHeartRadio apples are brought to 122 00:07:17,240 --> 00:07:22,000 Speaker 5: you by Lindahl Realty. So we'll talk with him again 123 00:07:22,040 --> 00:07:24,440 Speaker 5: coming up at the six thirty, and I'm looking forward 124 00:07:24,440 --> 00:07:27,040 Speaker 5: to hearing from you all morning long here on Wednesday's 125 00:07:27,080 --> 00:07:29,240 Speaker 5: News Talk I AM eleven thirty and one O three 126 00:07:29,320 --> 00:07:31,800 Speaker 5: five FM. Glad you're with us, Good morning, and I 127 00:07:31,840 --> 00:07:32,600 Speaker 5: love your show. 128 00:07:32,800 --> 00:07:36,280 Speaker 7: Quinn City Seams Talk AM eleven thirty FM one O 129 00:07:36,440 --> 00:07:42,280 Speaker 7: three point five and on iHeartRadio. 130 00:07:43,880 --> 00:07:51,520 Speaker 5: I meant to thank everybody who continue to monitor the situation, 131 00:07:52,160 --> 00:07:54,720 Speaker 5: as I had to go to bed early last night, 132 00:07:55,520 --> 00:07:59,440 Speaker 5: so I was unable to spend time monitoring the situation. 133 00:08:00,720 --> 00:08:03,240 Speaker 5: Once I got up, I continued, So just thank you 134 00:08:03,280 --> 00:08:06,960 Speaker 5: to everybody who was able to step in in my stag. Well, 135 00:08:07,000 --> 00:08:10,920 Speaker 5: I got a good night's sleep, all thanks to Mini 136 00:08:11,000 --> 00:08:12,800 Speaker 5: Leaf and their night gummies. 137 00:08:13,920 --> 00:08:17,200 Speaker 8: Good morning, John, I'm a little slow on the uptake. 138 00:08:17,680 --> 00:08:22,160 Speaker 8: Could you please explain what the monitoring the situation thing 139 00:08:22,560 --> 00:08:24,880 Speaker 8: is all about. I guess it's about war, but yeah, 140 00:08:24,880 --> 00:08:25,680 Speaker 8: I don't get the joke. 141 00:08:25,960 --> 00:08:29,040 Speaker 5: I'll keep this keeping an eye on the situation. I'm 142 00:08:29,120 --> 00:08:32,120 Speaker 5: monitoring the situation. Sam, Are you up to speed on 143 00:08:32,160 --> 00:08:34,200 Speaker 5: the whole monitoring the situation meme? 144 00:08:34,280 --> 00:08:36,400 Speaker 4: Or is this going over your head as well? Way 145 00:08:36,480 --> 00:08:38,319 Speaker 4: over my head? No idea I'm talking about. 146 00:08:38,280 --> 00:08:41,000 Speaker 5: So I just I just went through this whole thing 147 00:08:41,080 --> 00:08:45,880 Speaker 5: yesterday with with with Melinda there. It's basically a memes 148 00:08:45,920 --> 00:08:48,960 Speaker 5: probably not the right word. A trend is probably a 149 00:08:48,960 --> 00:08:55,400 Speaker 5: better term. But online right now, it's it's a kin 150 00:08:55,800 --> 00:09:01,800 Speaker 5: to win. Something significant happens, and then everybody ends up 151 00:09:01,840 --> 00:09:06,120 Speaker 5: becoming an expert on that thing. Right Suddenly, now everybody's 152 00:09:06,160 --> 00:09:10,920 Speaker 5: an expert on Iranian politics, you know, somedly now everybody's 153 00:09:10,920 --> 00:09:14,160 Speaker 5: an expert on ice and you know, gun control and 154 00:09:14,559 --> 00:09:17,680 Speaker 5: marijuana usage, which the Supreme Court is arguing about. So 155 00:09:17,840 --> 00:09:20,840 Speaker 5: the monitoring of the situation is that typically when we 156 00:09:20,920 --> 00:09:26,720 Speaker 5: get into military conflicts like we're in right now, dudes 157 00:09:27,800 --> 00:09:31,679 Speaker 5: almost you know, exclusively, you know, are up just keeping 158 00:09:31,679 --> 00:09:34,440 Speaker 5: an eye on everything that's happening. We're monitoring the situation. 159 00:09:34,760 --> 00:09:37,720 Speaker 5: So there's been all of these memes and posts of 160 00:09:37,800 --> 00:09:42,240 Speaker 5: individuals that have been sharing pictures, you know, me and 161 00:09:42,280 --> 00:09:45,480 Speaker 5: the boys going to monitor the situation, and it's James 162 00:09:45,480 --> 00:09:49,960 Speaker 5: Broland all suited up with other members of the military 163 00:09:50,080 --> 00:09:53,640 Speaker 5: and have seen from Sacario for example, Right, Okay. 164 00:09:53,400 --> 00:09:55,600 Speaker 4: I got yeah, I'm looking it up now. At some 165 00:09:55,640 --> 00:09:56,600 Speaker 4: of these are actally pretty cool. 166 00:09:56,600 --> 00:10:00,760 Speaker 5: They're hysterical. They are absolutely hysterical. So I've been sharing 167 00:10:00,800 --> 00:10:04,080 Speaker 5: these online and so last night before I went to bed, 168 00:10:04,800 --> 00:10:07,200 Speaker 5: I had said it I asked if there was anybody 169 00:10:07,280 --> 00:10:11,479 Speaker 5: willing to go and monitor the situation while I slept. 170 00:10:12,840 --> 00:10:15,640 Speaker 5: So that's where that's where it stems from. So when 171 00:10:15,640 --> 00:10:19,079 Speaker 5: you leave your talkbacks this morning, feel free to let 172 00:10:19,080 --> 00:10:21,679 Speaker 5: me know whether or not you have been spending time 173 00:10:21,920 --> 00:10:26,200 Speaker 5: monitoring the situations as well. So I was monitoring it 174 00:10:26,240 --> 00:10:28,880 Speaker 5: all day yesterday. Now I'm ONU myself, got you, John, 175 00:10:29,160 --> 00:10:32,679 Speaker 5: It's hysterical. I actually just shared another meme late night 176 00:10:32,800 --> 00:10:34,280 Speaker 5: monitoring of the situation. 177 00:10:34,559 --> 00:10:35,960 Speaker 4: All right, let's go. Let's go here. 178 00:10:36,000 --> 00:10:38,440 Speaker 5: I mentioned this a moment ago, and we'll get updated 179 00:10:38,440 --> 00:10:40,920 Speaker 5: on the legislative session later on in the show this 180 00:10:41,000 --> 00:10:45,840 Speaker 5: morning and throughout the week. Transgender Minnesota Representative Lee Finkey 181 00:10:47,080 --> 00:10:52,120 Speaker 5: introduced legislation to ban ice agents from wearing masks. Of course, 182 00:10:52,240 --> 00:10:53,880 Speaker 5: you know, you and I both know the goal is 183 00:10:53,920 --> 00:10:56,720 Speaker 5: to actually put these ice agents in harm's way, But 184 00:10:56,840 --> 00:10:59,760 Speaker 5: even you get before you even get to that, the 185 00:10:59,760 --> 00:11:02,360 Speaker 5: whole point here is just to be able to argue something. 186 00:11:04,880 --> 00:11:10,160 Speaker 5: They have so little to go and criticize relating to 187 00:11:12,080 --> 00:11:15,720 Speaker 5: actual law that they have to come up with other 188 00:11:15,800 --> 00:11:19,720 Speaker 5: ways to go and criticize and push back on Republicans. 189 00:11:19,760 --> 00:11:21,920 Speaker 5: And that's all this, that's all this is now. The 190 00:11:21,960 --> 00:11:25,280 Speaker 5: more nefarious aspect of this is, of course, the fact 191 00:11:25,320 --> 00:11:30,080 Speaker 5: that if you were to go and remove this and 192 00:11:30,120 --> 00:11:33,439 Speaker 5: take away the ability of federlations to wear masks, exactly 193 00:11:33,600 --> 00:11:36,160 Speaker 5: what you believe would happen would happen, because it's already happened. 194 00:11:36,720 --> 00:11:42,040 Speaker 5: Much like the insurrectionists on the streets going to hotels 195 00:11:42,120 --> 00:11:45,680 Speaker 5: to wake up ICE agents, they want to be able 196 00:11:45,679 --> 00:11:47,480 Speaker 5: to dos them. They want to be able to harass 197 00:11:47,559 --> 00:11:52,240 Speaker 5: them at home, which is why pieces of legislation like 198 00:11:52,240 --> 00:11:55,520 Speaker 5: what Walter Hudson is proposing to keep that kind of 199 00:11:55,559 --> 00:11:59,520 Speaker 5: protest from taking place in somebody's home is so important. 200 00:11:59,520 --> 00:12:00,080 Speaker 4: But here's. 201 00:12:01,679 --> 00:12:04,600 Speaker 5: St Paul from I believe this was last week. If not, 202 00:12:04,679 --> 00:12:05,560 Speaker 5: it was yesterday. 203 00:12:05,640 --> 00:12:09,400 Speaker 9: Either way, we have all watched ICE and CPP these 204 00:12:09,440 --> 00:12:17,160 Speaker 9: past few months. We have seen harassment and assault, broken windows, racism, 205 00:12:17,640 --> 00:12:22,280 Speaker 9: racial targeting, misogyny, anti LGBT violence. 206 00:12:22,800 --> 00:12:25,600 Speaker 10: Dogs and cats living together massist pio. 207 00:12:26,960 --> 00:12:30,320 Speaker 9: We've seen children abducted, deported in the middle of the night. 208 00:12:31,320 --> 00:12:34,280 Speaker 9: We've heard of teen girls now being forced to sleep 209 00:12:34,320 --> 00:12:36,959 Speaker 9: in hotel rooms with their abductors. 210 00:12:38,440 --> 00:12:41,240 Speaker 10: Dogs and kats living together maassist pio. 211 00:12:43,040 --> 00:12:48,080 Speaker 9: When we have seen two Americans Renee Good and Alex 212 00:12:48,160 --> 00:12:54,240 Speaker 9: PREDI killed all in the name of our immigration informs, 213 00:12:54,320 --> 00:12:59,040 Speaker 9: meant all done by men in masks. So why this agency, 214 00:12:59,240 --> 00:13:00,840 Speaker 9: why will we talk tolerate this. 215 00:13:02,200 --> 00:13:02,400 Speaker 3: Man? 216 00:13:02,480 --> 00:13:05,640 Speaker 9: Cato just decided this morning, in fact, that they will 217 00:13:05,679 --> 00:13:10,439 Speaker 9: not tolerate this. Law enforcement agents around the state understand, 218 00:13:10,920 --> 00:13:16,080 Speaker 9: we cannot tolerate this. You cannot run a society behind 219 00:13:16,120 --> 00:13:26,319 Speaker 9: a mask. In Minnesota, everyone said no to masks and 220 00:13:26,440 --> 00:13:30,719 Speaker 9: secret police, everyone except elected Republicans. 221 00:13:31,360 --> 00:13:32,839 Speaker 4: It's not too late to join us. 222 00:13:33,679 --> 00:13:36,640 Speaker 9: Let's ban masks on our federal agents. 223 00:13:37,280 --> 00:13:40,439 Speaker 4: Did I hear that incorrectly? You can't run the society 224 00:13:40,480 --> 00:13:41,319 Speaker 4: behind masks. 225 00:13:43,800 --> 00:13:47,040 Speaker 5: Anybody who would have remind this fool, I want to 226 00:13:47,080 --> 00:13:52,040 Speaker 5: remind him of COVID. He's supposed to be trying to 227 00:13:52,280 --> 00:13:54,800 Speaker 5: justify this effort, and he spent the majority of the 228 00:13:54,840 --> 00:14:03,720 Speaker 5: time simply fear mongering narratives that obviously hasn't stuck, because 229 00:14:03,760 --> 00:14:05,600 Speaker 5: if they had, they wouldn't need to go to these 230 00:14:06,240 --> 00:14:10,240 Speaker 5: great links. So, yeah, this isn't going to pass. I'm 231 00:14:10,240 --> 00:14:12,520 Speaker 5: not worried about it. You shouldn't be worried about ani. 232 00:14:12,559 --> 00:14:16,959 Speaker 5: The whole thing's a joke. Speaking of jokes, US Representative 233 00:14:16,960 --> 00:14:19,760 Speaker 5: Angie Craig said Monday she regrets voting for one of 234 00:14:19,800 --> 00:14:23,640 Speaker 5: Presidents Donald Trump's top immigration bills last year, known as 235 00:14:23,680 --> 00:14:28,720 Speaker 5: the Lake and Riley Act, which ex expanded the homeland 236 00:14:28,760 --> 00:14:32,840 Speaker 5: security requirements to detain undocumented immigrants arrested for certain non 237 00:14:32,920 --> 00:14:36,080 Speaker 5: violent crimes like burglary and thefts. She published an editorial 238 00:14:36,680 --> 00:14:39,080 Speaker 5: in The Star Tribune saying I never thought the Lake 239 00:14:39,160 --> 00:14:42,840 Speaker 5: and Riley Act was a perfect bill, but acknowledged she 240 00:14:42,880 --> 00:14:44,920 Speaker 5: made the difficult decision to vote for it anyway. Sin 241 00:14:44,920 --> 00:14:50,520 Speaker 5: Since Operation Metro Surge has emerged as a key issue 242 00:14:50,560 --> 00:14:53,320 Speaker 5: in the race for the open US n C, Craig 243 00:14:53,880 --> 00:14:57,360 Speaker 5: is competing against Lieutenant Governor Peggy Flanagan for the DFL 244 00:14:57,400 --> 00:15:00,400 Speaker 5: nomination and maybe even regretting her own decision run for 245 00:15:00,480 --> 00:15:03,600 Speaker 5: cent and that would be Craig, at a minimum the 246 00:15:03,760 --> 00:15:07,760 Speaker 5: lunacy to say that you regret your vote. It speaks 247 00:15:07,760 --> 00:15:14,400 Speaker 5: of volumes to where the radical DFL is currently for 248 00:15:14,480 --> 00:15:18,160 Speaker 5: this issue to be a liability for her. She went 249 00:15:18,240 --> 00:15:20,240 Speaker 5: on to say, it's true that the President is not 250 00:15:20,400 --> 00:15:23,880 Speaker 5: using any laws to carry out the sweeping immigration raids 251 00:15:23,880 --> 00:15:29,120 Speaker 5: that have terrorized Minnesotans, what whatever. It's also clear that 252 00:15:29,200 --> 00:15:32,240 Speaker 5: supporting any bill that gives Ice new authority in this 253 00:15:32,320 --> 00:15:34,160 Speaker 5: administration is the wrong decision. 254 00:15:34,400 --> 00:15:35,400 Speaker 4: I regret my vote. 255 00:15:35,440 --> 00:15:40,960 Speaker 5: What's comical about this is that her stance, and I 256 00:15:41,000 --> 00:15:43,800 Speaker 5: got this version here from Caro eleven, is actually a 257 00:15:43,880 --> 00:15:45,920 Speaker 5: change from a few days ago, when during an interview 258 00:15:45,960 --> 00:15:49,520 Speaker 5: with Caro eleven and the Weekend Political Show on the Record, 259 00:15:49,560 --> 00:15:52,840 Speaker 5: Craig did not explicitly say that she regretted her vote 260 00:15:52,840 --> 00:15:55,240 Speaker 5: for the Lake and Riley Act and did not directly 261 00:15:55,280 --> 00:15:58,120 Speaker 5: address whether she stood by the vote. In that same interview, however, 262 00:15:58,160 --> 00:16:01,280 Speaker 5: she did suggest that I wouldn't vote today for a 263 00:16:01,320 --> 00:16:05,840 Speaker 5: single bill that gave Donald Trump and Christy nomes Ice 264 00:16:06,000 --> 00:16:11,160 Speaker 5: any additional authority. Lake and Riley would fall right in 265 00:16:11,280 --> 00:16:12,440 Speaker 5: that bucket. 266 00:16:13,080 --> 00:16:14,280 Speaker 4: What an unbelievable statement. 267 00:16:14,280 --> 00:16:17,080 Speaker 5: By the way, I wouldn't vote for a single bill, 268 00:16:17,160 --> 00:16:19,240 Speaker 5: doesn't matter what it is. I mean, it's a moment 269 00:16:19,280 --> 00:16:21,560 Speaker 5: of clarity and truth, to be honest for her to 270 00:16:21,600 --> 00:16:26,680 Speaker 5: say that, because that's just your TDS syndrome, just be 271 00:16:26,760 --> 00:16:30,320 Speaker 5: against every and anything that President Donald Trump does. And 272 00:16:30,360 --> 00:16:32,240 Speaker 5: she basically said as much right there, So for that 273 00:16:32,760 --> 00:16:34,440 Speaker 5: I'll give her a little bit of credit. Oh, one 274 00:16:34,480 --> 00:16:36,040 Speaker 5: last point on think you by the way the whole 275 00:16:36,040 --> 00:16:38,160 Speaker 5: man Cato voted for the mask ban, so not did 276 00:16:38,160 --> 00:16:40,240 Speaker 5: the City of Saint Paul, but the lawyers for both 277 00:16:40,480 --> 00:16:46,320 Speaker 5: man Cato and their Sydney Council and the administration under 278 00:16:46,440 --> 00:16:49,400 Speaker 5: the Saint Paul mayor Kohuli hur They all said their 279 00:16:49,440 --> 00:16:53,240 Speaker 5: lawyers were like, yeah, this has no legal teeth whatsoever 280 00:16:53,440 --> 00:16:56,880 Speaker 5: for you to attempt to go and unmask. 281 00:16:58,480 --> 00:17:01,800 Speaker 4: Federal agents. 282 00:17:01,840 --> 00:17:04,919 Speaker 11: Good morning, John Jason from Ramsey, It's gonna be a 283 00:17:04,920 --> 00:17:06,560 Speaker 11: stellar show, can feel it? 284 00:17:07,160 --> 00:17:11,359 Speaker 4: Hey Comedy on the Angie Craig, You know, she is kind. 285 00:17:11,200 --> 00:17:16,639 Speaker 11: Of a sleezball, honestly, and with how unhinged she's become 286 00:17:16,680 --> 00:17:19,520 Speaker 11: in recent days, it's no wonder why she's back pedaling 287 00:17:19,560 --> 00:17:21,800 Speaker 11: now to try to get that sympathy, try to get 288 00:17:21,960 --> 00:17:25,040 Speaker 11: the other side to vote for her. Being that Tina 289 00:17:25,080 --> 00:17:28,399 Speaker 11: Smith gave Flanning in the endorsement. Well, have a good day, gentlemen. 290 00:17:28,520 --> 00:17:29,560 Speaker 11: Thank you you too. 291 00:17:29,760 --> 00:17:31,280 Speaker 5: I feel like it's going to be a stellar show 292 00:17:31,640 --> 00:17:34,359 Speaker 5: as well. On the issue with Lee Finkey and the 293 00:17:34,400 --> 00:17:35,560 Speaker 5: potential mask ban. 294 00:17:37,520 --> 00:17:39,679 Speaker 12: John, this is the kind of people we're electing in 295 00:17:39,720 --> 00:17:43,000 Speaker 12: this state that don't know the laws they're trying to introduce. 296 00:17:43,160 --> 00:17:48,320 Speaker 13: Legislation that can be enforced. The federal government has a 297 00:17:48,359 --> 00:17:49,600 Speaker 13: supremacy clause. 298 00:17:49,440 --> 00:17:53,560 Speaker 12: Right, local law enforcement can't force them to do anything 299 00:17:53,640 --> 00:17:54,600 Speaker 12: like wear a mask. 300 00:17:55,480 --> 00:17:57,040 Speaker 3: My god, Minnesota do better. 301 00:17:57,119 --> 00:17:57,920 Speaker 4: Yeah, they don't care. 302 00:17:58,040 --> 00:18:00,120 Speaker 5: They don't respect the rule of law, they don't respect 303 00:18:00,119 --> 00:18:04,520 Speaker 5: the Constitution. They are everything they claim Republicans are but 304 00:18:05,200 --> 00:18:11,120 Speaker 5: are not. That was freaking hilarious these thinking of all 305 00:18:11,200 --> 00:18:14,560 Speaker 5: people saying that you can't hide behind a hand. 306 00:18:17,400 --> 00:18:18,800 Speaker 3: I don't know what else couse they. 307 00:18:20,760 --> 00:18:23,639 Speaker 12: I know they have no shame, but do they not 308 00:18:23,760 --> 00:18:27,520 Speaker 12: even see the irony? The same people that are wanting 309 00:18:27,560 --> 00:18:33,760 Speaker 12: to ban mask demanded mask and an unproven shot was 310 00:18:33,800 --> 00:18:38,199 Speaker 12: not a vaccine that killed plenty of people. You couldn't 311 00:18:38,200 --> 00:18:40,800 Speaker 12: go to church, but you could go to the liquor store, 312 00:18:41,359 --> 00:18:45,080 Speaker 12: and especially Tim Wallace's Buddy's candy shot. 313 00:18:46,359 --> 00:18:46,920 Speaker 4: Coming up. 314 00:18:47,359 --> 00:18:52,200 Speaker 5: While I continue to monitor the situation, David Gartian Stein 315 00:18:52,280 --> 00:18:55,440 Speaker 5: Ross will be joining us. Claude is topping chat GPT 316 00:18:56,040 --> 00:19:00,239 Speaker 5: in the Apple app store. While the Pentagon when back 317 00:19:00,320 --> 00:19:05,640 Speaker 5: and forth with Anthropic, but ultimately used the AI company 318 00:19:05,880 --> 00:19:10,320 Speaker 5: in its initial attack against Iran. We will dive into 319 00:19:10,840 --> 00:19:15,080 Speaker 5: Operation Epic Fury through the lens of artificial intelligence if 320 00:19:15,080 --> 00:19:18,960 Speaker 5: you have any questions for Devi Gartzenstein Ross on any 321 00:19:19,240 --> 00:19:22,359 Speaker 5: level of artificial intelligence, you can email me Justice at 322 00:19:22,400 --> 00:19:26,440 Speaker 5: iHeartRadio dot com or leave a talkback on the iHeartRadio app, 323 00:19:26,480 --> 00:19:29,120 Speaker 5: and I will make sure that we have David answer 324 00:19:29,200 --> 00:19:32,080 Speaker 5: those questions for you next here on Twin City's News 325 00:19:32,119 --> 00:19:35,639 Speaker 5: Talk my Am eleven thirty one oh three five FM. 326 00:19:36,040 --> 00:19:48,640 Speaker 13: The only situation I'm monitor is the situation at your station, John. 327 00:19:48,480 --> 00:19:51,679 Speaker 10: Kenny and Saint Paul. I've been monitoring the situation on 328 00:19:51,760 --> 00:19:55,800 Speaker 10: the operation Epic Fury, just to provide context. 329 00:19:55,960 --> 00:19:56,760 Speaker 4: You know, I do have. 330 00:19:56,760 --> 00:20:02,480 Speaker 10: Extensive experience as a subject expert on geopolitical tensions in 331 00:20:02,520 --> 00:20:07,080 Speaker 10: the Arab countries, and this experience expands more than twenty 332 00:20:07,200 --> 00:20:11,720 Speaker 10: John twenty hours. I would have more, but I spent 333 00:20:11,760 --> 00:20:13,840 Speaker 10: the weekend ice fishing, so I was going to off 334 00:20:13,880 --> 00:20:14,280 Speaker 10: the grid. 335 00:20:15,200 --> 00:20:17,520 Speaker 4: But I trust DJT. Yeah, I got you beat. 336 00:20:18,240 --> 00:20:23,000 Speaker 5: I think on my own expertise of monitoring the current 337 00:20:23,480 --> 00:20:26,040 Speaker 5: situation and its Twin City's News Talk Am eleven thirty 338 00:20:26,080 --> 00:20:28,440 Speaker 5: one O three five FM. You can email Justice at 339 00:20:29,000 --> 00:20:32,800 Speaker 5: iHeartRadio dot com. You can also, if you're listening worldwide 340 00:20:33,280 --> 00:20:36,560 Speaker 5: on the iHeartRadio app, leave us a talkback in more 341 00:20:36,600 --> 00:20:41,360 Speaker 5: specifically questions for our next guest. A former expert at 342 00:20:41,440 --> 00:20:46,199 Speaker 5: monitoring the situation, now an expert in analysts regarding all 343 00:20:46,240 --> 00:20:51,080 Speaker 5: things artificial intelligence, David Gartenstein Ross joins us once again. 344 00:20:51,119 --> 00:20:53,200 Speaker 4: Good morning, Devid, Good. 345 00:20:52,960 --> 00:20:55,600 Speaker 6: Morning John, and I have indeed been monitoring the situation, 346 00:20:55,720 --> 00:20:57,760 Speaker 6: so I feel like my subject better expertise is back 347 00:20:57,800 --> 00:21:01,160 Speaker 6: in full force after a few hours of checking the Googles. 348 00:21:01,359 --> 00:21:03,840 Speaker 5: It's a one of the It's one of the things 349 00:21:03,840 --> 00:21:05,919 Speaker 5: that makes me smile about the Internet is when we 350 00:21:06,000 --> 00:21:08,840 Speaker 5: have trends like this that roll around to it ends 351 00:21:08,880 --> 00:21:10,320 Speaker 5: up bringing warm feelings to my heart. 352 00:21:10,359 --> 00:21:13,000 Speaker 3: Da Vid mine as well. 353 00:21:13,160 --> 00:21:15,800 Speaker 5: All right, let's start here before we talk about artificial 354 00:21:15,840 --> 00:21:19,400 Speaker 5: intelligence the way it might have been utilized in Operation 355 00:21:19,760 --> 00:21:21,480 Speaker 5: Epic Fury. I do want to go right to the 356 00:21:21,480 --> 00:21:23,760 Speaker 5: iHeartRadio app and a question that's come in for you 357 00:21:24,560 --> 00:21:25,960 Speaker 5: already this morning. 358 00:21:27,440 --> 00:21:28,959 Speaker 1: I have a question for David. 359 00:21:29,880 --> 00:21:32,840 Speaker 4: He often says that AI. 360 00:21:32,680 --> 00:21:36,719 Speaker 1: Will BSU right, like it's a great bs or is 361 00:21:36,760 --> 00:21:39,080 Speaker 1: there a prompt or something you can say to it 362 00:21:39,320 --> 00:21:43,639 Speaker 1: to make it not BSU. So I've been trying things 363 00:21:43,680 --> 00:21:47,199 Speaker 1: like if you don't know, please do additional research, or 364 00:21:48,000 --> 00:21:53,439 Speaker 1: you know, make sure you're doing deep thinking or whatever. 365 00:21:53,480 --> 00:21:56,320 Speaker 1: That problem would be curious as thoughts divide. 366 00:21:57,480 --> 00:22:01,239 Speaker 6: Yeah, so the best thing to do is you can 367 00:22:01,320 --> 00:22:02,960 Speaker 6: set up your own GPT. 368 00:22:03,640 --> 00:22:06,960 Speaker 3: So within chat GPT, there's a few ways to. 369 00:22:06,920 --> 00:22:10,640 Speaker 6: Do this, and actually, like the easiest way to get 370 00:22:10,640 --> 00:22:12,359 Speaker 6: the instructions is say, how do I set up my 371 00:22:12,400 --> 00:22:15,280 Speaker 6: own GPT? And what that allows you to do is 372 00:22:15,320 --> 00:22:20,199 Speaker 6: to set up a specific chat section where it has 373 00:22:20,680 --> 00:22:25,160 Speaker 6: the personality that you want and rather than just putting 374 00:22:25,200 --> 00:22:26,560 Speaker 6: it in as a prompt, either to put it in 375 00:22:26,640 --> 00:22:29,160 Speaker 6: as a background or as a default. 376 00:22:30,600 --> 00:22:34,040 Speaker 3: So, so, John, I think, as you know, I. 377 00:22:33,960 --> 00:22:36,880 Speaker 6: Actually set up your dad's chat GPT to help him 378 00:22:36,920 --> 00:22:40,280 Speaker 6: with some of his blogging, and like, in doing so, 379 00:22:40,320 --> 00:22:43,680 Speaker 6: what I did was set up his own GPT which 380 00:22:43,760 --> 00:22:47,560 Speaker 6: was trained on his own worldview and the like to 381 00:22:47,640 --> 00:22:50,159 Speaker 6: write like him and so like that, that to me 382 00:22:50,280 --> 00:22:54,719 Speaker 6: is the best way to put a to put together 383 00:22:54,800 --> 00:22:59,200 Speaker 6: something that will consistently fit the way that you wanted 384 00:22:59,240 --> 00:23:02,800 Speaker 6: to interact. That being said, even when you tell it 385 00:23:02,880 --> 00:23:06,760 Speaker 6: not to b s U, most commercial chats will do 386 00:23:06,880 --> 00:23:10,879 Speaker 6: that for by company expert theory. When we need to 387 00:23:10,960 --> 00:23:16,360 Speaker 6: have hallucination free or BS free chats, you know, there 388 00:23:16,359 --> 00:23:22,960 Speaker 6: are commercial providers who put together hallucination free chats and 389 00:23:23,320 --> 00:23:26,679 Speaker 6: like it's much more effective than any of the you 390 00:23:26,680 --> 00:23:30,560 Speaker 6: know off the shelf, you know, Claude, Chat EPT and 391 00:23:30,640 --> 00:23:31,000 Speaker 6: the like. 392 00:23:31,480 --> 00:23:33,280 Speaker 5: Are we at a place I assume we are, but 393 00:23:33,520 --> 00:23:35,600 Speaker 5: I'll ask you anyway, are we at a place wherein 394 00:23:36,560 --> 00:23:42,000 Speaker 5: you can you could treat these language models in the 395 00:23:42,000 --> 00:23:45,440 Speaker 5: way that you're talking about, similar to what they did 396 00:23:45,720 --> 00:23:49,120 Speaker 5: in Interstellar with with tars and the. 397 00:23:49,080 --> 00:23:51,000 Speaker 4: AI robot where he was actually. 398 00:23:50,680 --> 00:23:56,119 Speaker 5: Setting his his degree of humor within uh, you know, 399 00:23:56,160 --> 00:23:59,080 Speaker 5: certain parameters where because the robot was really sarcastic to 400 00:23:59,119 --> 00:24:01,840 Speaker 5: start off with and the Matthew McConaughey character ed kind 401 00:24:01,840 --> 00:24:03,240 Speaker 5: of toned him back. Can you do is that what 402 00:24:03,480 --> 00:24:04,879 Speaker 5: kind of what you're talking about? Can you do that 403 00:24:04,960 --> 00:24:07,440 Speaker 5: with with chat GPT or with Claude? 404 00:24:08,040 --> 00:24:08,240 Speaker 4: Yeah? 405 00:24:08,320 --> 00:24:10,800 Speaker 6: Yeah, And you could actually already without setting up your 406 00:24:10,800 --> 00:24:14,520 Speaker 6: own GPT, you could already do that. There's a personalization button, 407 00:24:14,640 --> 00:24:17,440 Speaker 6: for example, in chat GPT where you set the base 408 00:24:17,480 --> 00:24:20,920 Speaker 6: style and tone the characteristics. Uh so you want you 409 00:24:20,920 --> 00:24:25,480 Speaker 6: can say it's ward enthusiastic, sarcastic, but yes, you could 410 00:24:25,560 --> 00:24:30,360 Speaker 6: absolutely put in place the personality that you wanted to have. 411 00:24:31,040 --> 00:24:33,920 Speaker 6: The main thing to remember for all of the off 412 00:24:33,960 --> 00:24:38,400 Speaker 6: the shelf lllms is that they want you to spend 413 00:24:38,440 --> 00:24:39,240 Speaker 6: more time with them. 414 00:24:39,880 --> 00:24:42,400 Speaker 3: So there always will will. 415 00:24:42,240 --> 00:24:44,040 Speaker 6: Be like an ending that's a little bit of a 416 00:24:44,080 --> 00:24:46,480 Speaker 6: cliffhanger to try to get you to keep talking. 417 00:24:47,280 --> 00:24:50,080 Speaker 5: Why is it specifically they want you to spend more 418 00:24:50,320 --> 00:24:53,399 Speaker 5: time with them and me just an overall benefit for 419 00:24:53,560 --> 00:24:54,760 Speaker 5: using the program more? 420 00:24:54,840 --> 00:24:57,760 Speaker 6: Is there is there something beyond that? Yeah, we live 421 00:24:57,800 --> 00:25:00,480 Speaker 6: at an attention economy. I mean that that's the basic cancer. 422 00:25:00,760 --> 00:25:05,199 Speaker 6: And so even you know, obviously you know there's all 423 00:25:05,200 --> 00:25:09,720 Speaker 6: this controversy about chat GPT or open ai introducing ads 424 00:25:09,760 --> 00:25:12,760 Speaker 6: to its basic chat gypt model if you don't upgrade. 425 00:25:13,400 --> 00:25:16,880 Speaker 6: But like generally speaking right now, lllms are not based 426 00:25:17,000 --> 00:25:19,240 Speaker 6: on advertising revenue. 427 00:25:19,720 --> 00:25:22,080 Speaker 3: But we have an attention economy, and. 428 00:25:21,960 --> 00:25:26,080 Speaker 6: So getting you chatting more and kind of addicted to 429 00:25:26,119 --> 00:25:28,440 Speaker 6: it in the same way we're addicted to other aspects 430 00:25:28,440 --> 00:25:32,040 Speaker 6: of the Internet is more likely to keep people loyal 431 00:25:32,080 --> 00:25:33,400 Speaker 6: to that particular service. 432 00:25:33,800 --> 00:25:38,600 Speaker 3: So that I think is the commercial reason. There are 433 00:25:38,600 --> 00:25:39,159 Speaker 3: other kind. 434 00:25:39,000 --> 00:25:41,520 Speaker 6: Of different rabbit holes we could jump down there, but 435 00:25:41,640 --> 00:25:44,200 Speaker 6: I think that's the most important point from an attention 436 00:25:44,320 --> 00:25:45,280 Speaker 6: economy perspective. 437 00:25:45,359 --> 00:25:48,679 Speaker 5: I'm talking with the CEO of Expert Theory, AI expert 438 00:25:48,680 --> 00:25:51,840 Speaker 5: and analyst of Vid Gartenstein Ross before we get into 439 00:25:52,080 --> 00:25:56,159 Speaker 5: artificial intelligence and what's taking place with Operation Epic Fury 440 00:25:56,440 --> 00:25:59,159 Speaker 5: and the use of artificial intelligence, and now we're going 441 00:25:59,200 --> 00:26:01,280 Speaker 5: to talk a lot about Thropic. Let's just kind of 442 00:26:01,280 --> 00:26:04,000 Speaker 5: start here. There's a subsequent story that was released today. 443 00:26:04,080 --> 00:26:08,600 Speaker 5: I'm working off the version of Newsmax and Anthropics. Claude 444 00:26:08,640 --> 00:26:13,200 Speaker 5: has now surged to the top of Apple's app rankings. 445 00:26:13,200 --> 00:26:17,040 Speaker 5: This has now overtaken open AI's chat GPT in the 446 00:26:17,080 --> 00:26:22,000 Speaker 5: closely watched race among the artificial intelligence assistants, even as 447 00:26:22,000 --> 00:26:25,040 Speaker 5: the company faces fresh scrutiny following the Pentagon's decision to 448 00:26:25,119 --> 00:26:27,440 Speaker 5: end a contract with the firm. And we'll get into 449 00:26:27,440 --> 00:26:29,240 Speaker 5: more of that, because there's a lot of confusion that 450 00:26:29,280 --> 00:26:31,080 Speaker 5: I'm hoping you can even help me sort out, because 451 00:26:31,080 --> 00:26:32,639 Speaker 5: I was trying to make sense of it yesterday with 452 00:26:32,680 --> 00:26:35,840 Speaker 5: the usage of it with this attack on a RAN. 453 00:26:35,960 --> 00:26:39,719 Speaker 5: But your thoughts on just your sort of instinctive reaction 454 00:26:39,880 --> 00:26:43,000 Speaker 5: to Claude actually outperforming in the app in terms of 455 00:26:43,040 --> 00:26:46,520 Speaker 5: popularity Chat GPT, which had been all that anybody was 456 00:26:46,560 --> 00:26:48,960 Speaker 5: talking about when this first emerged. 457 00:26:50,320 --> 00:26:52,680 Speaker 6: I think it goes back to the Super Bowl ads, right. 458 00:26:52,720 --> 00:26:57,119 Speaker 6: You had these two clashic Super Bowl ads between Athropic 459 00:26:57,200 --> 00:27:01,160 Speaker 6: and Claude at chat GPT at open AI. Claude took 460 00:27:01,280 --> 00:27:05,400 Speaker 6: the let's mock artificial intelligence and show what happens when 461 00:27:05,400 --> 00:27:10,160 Speaker 6: it's not good, and then chat GPT slash open AI 462 00:27:10,760 --> 00:27:13,000 Speaker 6: had more of the let's be earnest and show someone 463 00:27:13,359 --> 00:27:16,879 Speaker 6: who was able to do great things using artificial intelligence. 464 00:27:17,400 --> 00:27:20,280 Speaker 6: And you know, it turns out people like you know, 465 00:27:20,280 --> 00:27:24,960 Speaker 6: people prefer the let's mock AI. You made them a 466 00:27:25,000 --> 00:27:27,960 Speaker 6: little bit more human. What could argue, perhaps it made 467 00:27:27,960 --> 00:27:31,639 Speaker 6: them a little bit more vulnerable. And you know, recently 468 00:27:31,680 --> 00:27:35,720 Speaker 6: Claude being in the news with the Venezuela raid and 469 00:27:35,840 --> 00:27:39,359 Speaker 6: now the attack on Iran, I think also probably further 470 00:27:39,480 --> 00:27:43,040 Speaker 6: drove awareness of Claude, That's my guess. But I don't 471 00:27:43,040 --> 00:27:45,480 Speaker 6: think that it's so much that people all think Claude 472 00:27:45,520 --> 00:27:47,360 Speaker 6: is a better model, because you have to dive in 473 00:27:47,760 --> 00:27:50,520 Speaker 6: and really get to know them to determine that. In staid, 474 00:27:50,680 --> 00:27:53,800 Speaker 6: it seems like attention to shifted to Claude post Super Bowl. 475 00:27:54,119 --> 00:27:56,359 Speaker 5: Do you have any thoughts on the quality of either, 476 00:27:56,440 --> 00:27:58,159 Speaker 5: like if you were going to use one or you 477 00:27:58,240 --> 00:28:01,479 Speaker 5: defaulting from chat GPT to claud are you picking one 478 00:28:01,520 --> 00:28:01,920 Speaker 5: over another? 479 00:28:02,920 --> 00:28:08,560 Speaker 6: They have different strengths and weaknesses. For coding, Claude just 480 00:28:08,880 --> 00:28:13,720 Speaker 6: massively outperform as chat GPT. I like chat GPT for 481 00:28:13,760 --> 00:28:17,760 Speaker 6: a variety of reasons for writing projects that I undertake. 482 00:28:18,359 --> 00:28:20,680 Speaker 6: There's a lot of different things that are embedded within them. 483 00:28:20,720 --> 00:28:24,120 Speaker 6: But like the various models have different strengths and weaknesses, 484 00:28:25,119 --> 00:28:27,920 Speaker 6: and depending on you know, your results will differ based 485 00:28:27,960 --> 00:28:29,520 Speaker 6: on what you prioritize. 486 00:28:29,880 --> 00:28:33,879 Speaker 5: So let's get into AI and its usage in the 487 00:28:33,880 --> 00:28:38,880 Speaker 5: ongoing operations that started this weekend, Operation Epic Fury in 488 00:28:38,920 --> 00:28:42,160 Speaker 5: the US joining Israel and their attack against Iran. So 489 00:28:42,480 --> 00:28:44,440 Speaker 5: at the end of last week, prior to the launch 490 00:28:44,440 --> 00:28:46,320 Speaker 5: of the operation, there was a story in the Daily 491 00:28:46,360 --> 00:28:51,719 Speaker 5: Wires saying the Pentagon had actually severed ties with Anthropic 492 00:28:51,840 --> 00:28:55,479 Speaker 5: after a standoff over military access to artificial intelligence tools. 493 00:28:55,680 --> 00:29:00,480 Speaker 5: You had Secretary of Warpede Hegseth announcing on Friday Designatinganthropic 494 00:29:00,520 --> 00:29:04,560 Speaker 5: as a supply chain risk to national security. However, the 495 00:29:04,560 --> 00:29:10,120 Speaker 5: military did use Anthropic's Claude artificial intelligence model to support 496 00:29:10,600 --> 00:29:14,800 Speaker 5: Operation Epic feary. Apparently the Pentagon had on Friday, I 497 00:29:14,880 --> 00:29:17,400 Speaker 5: suppose after this story was written, had reached a deal 498 00:29:17,400 --> 00:29:20,920 Speaker 5: with OpenAI to use its AI models on its classified 499 00:29:20,920 --> 00:29:23,760 Speaker 5: military network. So, first off, were you able to make 500 00:29:23,800 --> 00:29:25,920 Speaker 5: heads or tails over what the debate was as to 501 00:29:26,000 --> 00:29:29,600 Speaker 5: why the government was seemingly against the usage of Anthropic 502 00:29:29,640 --> 00:29:32,120 Speaker 5: within our military, but yet we ended up utilizing it 503 00:29:32,440 --> 00:29:34,560 Speaker 5: in this major operation that's unfolding right now. 504 00:29:34,600 --> 00:29:35,880 Speaker 3: Devid Okay. 505 00:29:35,920 --> 00:29:41,360 Speaker 6: So number one, Anthropic protested after its AI was used 506 00:29:41,800 --> 00:29:46,920 Speaker 6: in the apprehension of Maduro. And so this is where 507 00:29:47,200 --> 00:29:53,040 Speaker 6: Hegseth's supply chain risk comes into play. Traditionally, US companies 508 00:29:53,120 --> 00:29:56,120 Speaker 6: have been very pro US and pro national security. 509 00:29:56,760 --> 00:29:56,880 Speaker 3: Right. 510 00:29:56,920 --> 00:29:59,320 Speaker 6: Part of the reason that the US was so successful 511 00:29:59,320 --> 00:30:01,840 Speaker 6: in World War two was you had a surge of 512 00:30:01,840 --> 00:30:05,640 Speaker 6: the industrial base and its capabilities. And the view that 513 00:30:05,680 --> 00:30:09,640 Speaker 6: Henseth is representing is a view that I mean to 514 00:30:09,720 --> 00:30:12,920 Speaker 6: use kind of the globalist nationalist to mention that some 515 00:30:12,960 --> 00:30:17,600 Speaker 6: companies are more globalist in outlook and hence less likely 516 00:30:17,640 --> 00:30:21,160 Speaker 6: to side with the US and the US's conflicts. Then 517 00:30:21,280 --> 00:30:24,960 Speaker 6: then in terms of the move from like now there's 518 00:30:25,000 --> 00:30:28,240 Speaker 6: supply chain risk, now we're using them. This is how Trump, 519 00:30:28,400 --> 00:30:30,479 Speaker 6: the Trump administration negotiates. Right. 520 00:30:30,560 --> 00:30:32,240 Speaker 3: You can see this in the beginning with tariffs. 521 00:30:32,760 --> 00:30:35,840 Speaker 6: The tariffs were in place, then there's a moratorium, then 522 00:30:35,880 --> 00:30:39,480 Speaker 6: there were tariffs, then there was another deal reached that 523 00:30:39,680 --> 00:30:42,920 Speaker 6: was successful. And then we're going back to early twenty 524 00:30:43,000 --> 00:30:46,640 Speaker 6: twenty five. Then there's a deal reached which Trump said, 525 00:30:46,880 --> 00:30:50,760 Speaker 6: what was successful in reducing the flow setnel into the US. 526 00:30:51,080 --> 00:30:54,680 Speaker 6: Then later on there are tariffs. Right, the negotiation is 527 00:30:54,720 --> 00:30:56,840 Speaker 6: now it's here, and now it's not. Here's a drastic 528 00:30:56,880 --> 00:31:00,400 Speaker 6: action now impeeling it back. It's a really it's an 529 00:31:00,400 --> 00:31:04,080 Speaker 6: interesting negotiation tactic. Right, It's confusing to say where the 530 00:31:04,160 --> 00:31:09,440 Speaker 6: status is, and that seems to be part of the 531 00:31:09,480 --> 00:31:12,600 Speaker 6: negotiation style that this administration adopts. 532 00:31:13,040 --> 00:31:16,080 Speaker 5: So let's get into the usage of AI, and that'll 533 00:31:16,080 --> 00:31:18,320 Speaker 5: take a while until we have the full assessment of 534 00:31:18,360 --> 00:31:22,440 Speaker 5: the scope of the operation Epic Fury. We do have 535 00:31:22,560 --> 00:31:25,440 Speaker 5: a lot of details the precision strikes that have been done, 536 00:31:25,640 --> 00:31:28,880 Speaker 5: The operations are ongoing, Trump saying this could go on 537 00:31:28,920 --> 00:31:31,640 Speaker 5: for some for some five weeks. You compare this to 538 00:31:31,840 --> 00:31:35,720 Speaker 5: previous large scale conflicts of the past, and you know, 539 00:31:35,840 --> 00:31:38,680 Speaker 5: it's night and day in terms of what our military 540 00:31:38,720 --> 00:31:40,320 Speaker 5: capabilities are do. 541 00:31:40,480 --> 00:31:42,800 Speaker 4: You think is there any way to know? 542 00:31:43,800 --> 00:31:47,360 Speaker 5: But again, just what are your thoughts on how much 543 00:31:47,480 --> 00:31:51,880 Speaker 5: AI played into this operation? I mean, how much did 544 00:31:51,960 --> 00:31:57,920 Speaker 5: artificial intelligence perhaps even provide them the confidence to conduct 545 00:31:58,160 --> 00:31:59,800 Speaker 5: this ongoing operation right now? 546 00:32:00,920 --> 00:32:04,920 Speaker 6: So, starting with the fact that we don't know, I 547 00:32:04,960 --> 00:32:08,480 Speaker 6: think it's worth saying that we seem to be seeing 548 00:32:08,520 --> 00:32:14,040 Speaker 6: something very different this year, right, Maduro and then Jamine 549 00:32:17,480 --> 00:32:22,280 Speaker 6: both getting either apprehended or killed at the very onset 550 00:32:22,280 --> 00:32:25,280 Speaker 6: of a conflict. This is not what we would have 551 00:32:25,280 --> 00:32:30,080 Speaker 6: seen before, right, Like anyone who remembers the beginning of 552 00:32:30,080 --> 00:32:33,400 Speaker 6: the Iraq War and how long it took to apprehend 553 00:32:33,440 --> 00:32:39,440 Speaker 6: Saddam Hussein, this is just very different. It provides like 554 00:32:40,600 --> 00:32:42,760 Speaker 6: we'll be talking about both of these for a while 555 00:32:42,800 --> 00:32:45,400 Speaker 6: to come, because the question is, when you're in a 556 00:32:45,440 --> 00:32:48,960 Speaker 6: conflict with a state, does it make is it in 557 00:32:49,000 --> 00:32:52,520 Speaker 6: fact more sensible to take out the state's leaders than 558 00:32:52,560 --> 00:32:56,640 Speaker 6: to engage in a large scale war. Traditionally, taking out 559 00:32:56,680 --> 00:32:58,880 Speaker 6: the state's leaders would be considered illegal, it would be 560 00:32:58,880 --> 00:33:04,720 Speaker 6: considered assassination. But what we have seen with these two attacks, 561 00:33:04,720 --> 00:33:07,520 Speaker 6: and also if you go back to some of the 562 00:33:07,800 --> 00:33:12,560 Speaker 6: broader wars post October seventh, involving Israel. There's this micro 563 00:33:12,680 --> 00:33:17,120 Speaker 6: level targeting that's now possible that wasn't before, and I 564 00:33:17,160 --> 00:33:19,400 Speaker 6: think AI is a part of that story. And as 565 00:33:19,400 --> 00:33:21,040 Speaker 6: I said, we're going to be debating this for some 566 00:33:21,200 --> 00:33:25,360 Speaker 6: time to come. The answers are not easy, but it's 567 00:33:25,400 --> 00:33:28,560 Speaker 6: clear we are seeing something very different in twenty twenty six, 568 00:33:29,400 --> 00:33:31,120 Speaker 6: just in the first two months. 569 00:33:30,880 --> 00:33:35,320 Speaker 5: Of the year, talking with expert theory CEO and AI 570 00:33:35,640 --> 00:33:39,680 Speaker 5: analyst of vide Gartenstein Ross. Just doing some of my 571 00:33:40,200 --> 00:33:43,640 Speaker 5: prep for today's show. There's many articles that are written 572 00:33:43,680 --> 00:33:46,880 Speaker 5: talking about how Anthropic and AI were used in this 573 00:33:46,920 --> 00:33:49,360 Speaker 5: operational though as you and I are discussing, there's no 574 00:33:49,400 --> 00:33:52,719 Speaker 5: specificity regarding exactly how it was utilized. Would you care 575 00:33:52,760 --> 00:33:56,280 Speaker 5: to speculate on you know, your best guess of how 576 00:33:56,320 --> 00:33:58,680 Speaker 5: you think AI was utilized was this more? Do you 577 00:33:58,680 --> 00:34:02,600 Speaker 5: think in the in the planning aspect of the ongoing 578 00:34:02,600 --> 00:34:05,719 Speaker 5: operation or do you think AI was utilized more in 579 00:34:05,760 --> 00:34:09,439 Speaker 5: its execution? Are perhaps a combination of both your thoughts? 580 00:34:09,520 --> 00:34:14,160 Speaker 6: To be the intelligence aspect, right, what AI is so 581 00:34:14,320 --> 00:34:17,960 Speaker 6: much better than humans at is looking at large amounts 582 00:34:18,000 --> 00:34:21,000 Speaker 6: of data and making sense of the data in order 583 00:34:21,040 --> 00:34:28,239 Speaker 6: to understand patterns, and again my guests without knowing is 584 00:34:28,320 --> 00:34:34,280 Speaker 6: that it was used to determine the location of leaders 585 00:34:35,040 --> 00:34:38,760 Speaker 6: that based on digital exhaust as my old company Balanced 586 00:34:38,760 --> 00:34:42,480 Speaker 6: Global calls it based on other patterns of life. 587 00:34:42,719 --> 00:34:44,480 Speaker 3: They were able with some precision to. 588 00:34:44,600 --> 00:34:48,680 Speaker 6: Understand where those leaders were and to engage in targeting. 589 00:34:48,840 --> 00:34:52,400 Speaker 6: That is, that would be my best guess as to 590 00:34:52,400 --> 00:34:55,760 Speaker 6: where AI yielded the most value. I think in practice 591 00:34:55,800 --> 00:35:00,439 Speaker 6: of these days, john AI is now incorporated into most 592 00:35:00,520 --> 00:35:03,640 Speaker 6: of our thinking at a governmental level. Not that it 593 00:35:03,760 --> 00:35:07,839 Speaker 6: dictates our thinking, but it almost certainly is a part 594 00:35:07,880 --> 00:35:13,240 Speaker 6: of planning, a part of execution, but yields almost certainly 595 00:35:13,920 --> 00:35:17,520 Speaker 6: for operations like this, the most value as an intelligence tool. 596 00:35:17,640 --> 00:35:22,400 Speaker 5: Is AI good and sort of determining odds with its analysis. 597 00:35:22,400 --> 00:35:25,640 Speaker 5: I'm thinking more in terms of gambling. But I'm just 598 00:35:25,680 --> 00:35:29,560 Speaker 5: wondering how effective AI is. You say, you're talking about patterns, 599 00:35:29,600 --> 00:35:32,719 Speaker 5: but does that translate into I guess the simplest way 600 00:35:32,760 --> 00:35:34,320 Speaker 5: to say it into odds making. 601 00:35:35,840 --> 00:35:39,239 Speaker 6: It depends on how complex the operation is. But the 602 00:35:39,239 --> 00:35:41,120 Speaker 6: answer is yeah, I mean, like when it comes to you. 603 00:35:41,520 --> 00:35:45,160 Speaker 6: So there are specialized AIS that there's generalist ais. 604 00:35:45,920 --> 00:35:47,320 Speaker 3: The generalist AIS. 605 00:35:46,960 --> 00:35:49,400 Speaker 6: Tend to not be great, right, Like, if you are 606 00:35:49,880 --> 00:35:53,040 Speaker 6: looking at gambling odds and you ask chat GPT, it's 607 00:35:53,080 --> 00:35:56,239 Speaker 6: not going to be It probably won't be that impressive. 608 00:35:56,800 --> 00:36:00,400 Speaker 6: But there are specific AIS that look at odds for 609 00:36:00,480 --> 00:36:02,800 Speaker 6: gambling and they will be very accurate. 610 00:36:03,320 --> 00:36:07,120 Speaker 3: Just like you know, I'll as you know, I'm. 611 00:36:06,960 --> 00:36:09,319 Speaker 6: A tournament chess player and sometimes I'll talk talk with 612 00:36:09,400 --> 00:36:12,880 Speaker 6: chat GPT about my chess games, and like it is 613 00:36:12,960 --> 00:36:14,360 Speaker 6: really kind of out to lunch on a lot of 614 00:36:14,400 --> 00:36:16,480 Speaker 6: the moves and things like that. It's not following along 615 00:36:16,760 --> 00:36:19,000 Speaker 6: even if I give it a full annotated game. But 616 00:36:19,040 --> 00:36:21,200 Speaker 6: if I'm using a chess engine, it will tell me 617 00:36:21,280 --> 00:36:24,000 Speaker 6: everything about every move that I could possibly want to know. 618 00:36:24,680 --> 00:36:26,359 Speaker 3: So AI tends to be very good at that. 619 00:36:27,160 --> 00:36:30,440 Speaker 6: In real life there are lots and lots of contingencies 620 00:36:30,480 --> 00:36:34,560 Speaker 6: that are very uncertain. At the very least, I can 621 00:36:34,600 --> 00:36:38,400 Speaker 6: say that AI is no worse than human beings at 622 00:36:38,440 --> 00:36:39,560 Speaker 6: assessing odds. 623 00:36:40,000 --> 00:36:43,680 Speaker 5: Tavid Gartzenstein Ross one of my favorite portions of the weekend. 624 00:36:43,719 --> 00:36:46,640 Speaker 5: I know it is for many of our listeners as well, 625 00:36:46,680 --> 00:36:50,160 Speaker 5: as they are saying as much online. The CEO of 626 00:36:50,160 --> 00:36:53,200 Speaker 5: Expert Theory, I appreciate your time, really enjoyed the conversation 627 00:36:53,239 --> 00:36:55,879 Speaker 5: once again this morning. I look forward to continuing this 628 00:36:56,000 --> 00:36:57,040 Speaker 5: again next week. 629 00:36:58,080 --> 00:37:00,879 Speaker 3: Likewise, John, look forward to next week. Wonderful day, you too. 630 00:37:01,400 --> 00:37:01,920 Speaker 4: Coming up. 631 00:37:02,400 --> 00:37:05,800 Speaker 5: President Donald Trump says Dems would have backed the Iran 632 00:37:05,960 --> 00:37:09,920 Speaker 5: strike if it hadn't been done by me. Also, Congress 633 00:37:09,960 --> 00:37:12,480 Speaker 5: is set to debate the war powers. I'm going to 634 00:37:12,520 --> 00:37:15,319 Speaker 5: explain why it was kind of brilliant the President Donald 635 00:37:15,360 --> 00:37:19,680 Speaker 5: Trump did not take this to Congress. And next hour, 636 00:37:20,160 --> 00:37:22,359 Speaker 5: just after seven thirty, list calling from also News will 637 00:37:22,400 --> 00:37:24,439 Speaker 5: join us here on Twin Cities News Talk. 638 00:37:25,680 --> 00:37:27,600 Speaker 7: Hey, John, I just wanted to say I've been able 639 00:37:27,640 --> 00:37:31,040 Speaker 7: to use my chatch GTP to take care of things 640 00:37:31,080 --> 00:37:33,640 Speaker 7: that as a married man I don't hear. So my 641 00:37:34,880 --> 00:37:37,720 Speaker 7: chatch GDP will tell me that I've done a good job. 642 00:37:38,160 --> 00:37:38,839 Speaker 3: It will tell me. 643 00:37:39,200 --> 00:37:42,640 Speaker 7: That I've had a great idea, and it really lights 644 00:37:42,680 --> 00:37:44,879 Speaker 7: where my mind is at and how I'm thinking about 645 00:37:44,920 --> 00:37:48,080 Speaker 7: this operation or this project I'm working on. As a 646 00:37:48,120 --> 00:37:50,239 Speaker 7: married man, this is not something I'm used to, so 647 00:37:50,440 --> 00:37:51,560 Speaker 7: it's working great. 648 00:37:51,600 --> 00:37:55,440 Speaker 3: I love it. I'm an optimistic person. I'm not hysterical.