1 00:00:03,400 --> 00:00:05,000 Speaker 1: John, You're total rock star. 2 00:00:05,280 --> 00:00:08,039 Speaker 2: Love you so much and love the talk radio audience 3 00:00:08,160 --> 00:00:10,080 Speaker 2: all throughout Minnesota. You do such a great job. 4 00:00:10,160 --> 00:00:14,400 Speaker 3: I'm a big fan. Well, there's a very specific reason 5 00:00:14,440 --> 00:00:14,800 Speaker 3: for that. 6 00:00:14,960 --> 00:00:18,040 Speaker 2: I'm an optimistic person. I'm not hysterical. 7 00:00:18,880 --> 00:00:21,840 Speaker 3: I seem to recall last week I was in this 8 00:00:22,040 --> 00:00:29,480 Speaker 3: very studio, behind this very microphone, and I was expressing 9 00:00:30,800 --> 00:00:33,640 Speaker 3: how I was very much of the opinion that a 10 00:00:33,640 --> 00:00:42,920 Speaker 3: certain science fiction film starring a rock spider, alien and 11 00:00:43,040 --> 00:00:45,680 Speaker 3: Ryan Gosling was going to do very well at the 12 00:00:45,720 --> 00:00:50,199 Speaker 3: box office. This is me sitting here patting myself on 13 00:00:50,240 --> 00:00:53,040 Speaker 3: the back to let you know that the Ryan Gosling 14 00:00:53,159 --> 00:00:56,720 Speaker 3: led film project Hail Mary, about a middle school science 15 00:00:56,720 --> 00:01:01,440 Speaker 3: teacher sent to outer space to save humanity, is breaking 16 00:01:01,760 --> 00:01:11,080 Speaker 3: records lefts and right. Yes, I was correct, already raked 17 00:01:11,080 --> 00:01:14,160 Speaker 3: in almost one hundred million dollars domestically over one hundred 18 00:01:14,160 --> 00:01:18,520 Speaker 3: and forty million worldwide. Incredible reviews, word of mouth recommendations 19 00:01:18,560 --> 00:01:22,440 Speaker 3: help the film. Fans are especially excited. I believe I 20 00:01:22,480 --> 00:01:25,920 Speaker 3: also said this too. Sam is to my right to 21 00:01:25,959 --> 00:01:29,559 Speaker 3: the master Control booth, excited that the non franchise film 22 00:01:29,600 --> 00:01:34,400 Speaker 3: is heartwarming, family friendly, smart, non woke, original and reminiscent 23 00:01:34,480 --> 00:01:37,080 Speaker 3: of how movies used to be. 24 00:01:38,600 --> 00:01:41,240 Speaker 1: I'm going to see it again tomorrow. By the way, Yes, 25 00:01:41,280 --> 00:01:42,600 Speaker 1: it's on my list now for sure. 26 00:01:43,600 --> 00:01:46,120 Speaker 3: Part of Project Hail Mary gaining so much traction so 27 00:01:46,240 --> 00:01:49,520 Speaker 3: quickly comes from all the social media reactions, which were 28 00:01:49,920 --> 00:01:51,960 Speaker 3: going strong all weekend long. Yeah. 29 00:01:51,960 --> 00:01:52,800 Speaker 2: Man, it's a fun film. 30 00:01:52,840 --> 00:01:55,400 Speaker 3: I've that quite a few listeners who went to go 31 00:01:55,400 --> 00:01:58,320 Speaker 3: see it over the weekend and have echoed my sentiments 32 00:01:58,320 --> 00:02:00,680 Speaker 3: as I said, we're getting ready to We're gonna go 33 00:02:00,680 --> 00:02:03,600 Speaker 3: see it again tomorrow. And then I have a I 34 00:02:03,640 --> 00:02:05,880 Speaker 3: have a project a Hail Mary lego sets sitting at 35 00:02:05,880 --> 00:02:06,880 Speaker 3: home and easy put together. 36 00:02:07,160 --> 00:02:07,640 Speaker 1: There you go. 37 00:02:07,760 --> 00:02:09,600 Speaker 2: Well, typically my son doesn't. 38 00:02:09,680 --> 00:02:13,440 Speaker 3: Kyle does just nineteen for some reason now that I 39 00:02:13,480 --> 00:02:16,120 Speaker 3: want him to you, doesn't want to build it for me. 40 00:02:16,880 --> 00:02:18,760 Speaker 3: Like if I have other lego sets that come in, 41 00:02:18,840 --> 00:02:20,720 Speaker 3: He's more than happy. But this time I'm like, hey, 42 00:02:20,720 --> 00:02:24,080 Speaker 3: I'm looking forward to you building this eusism going building 43 00:02:24,160 --> 00:02:24,480 Speaker 3: for you. 44 00:02:24,880 --> 00:02:28,320 Speaker 1: Jeez, dude, you gotta do the reverse psychology, right, I'm 45 00:02:28,320 --> 00:02:29,920 Speaker 1: not going forward to it just sitting there. 46 00:02:30,000 --> 00:02:32,400 Speaker 3: Yeah, that was my h I tried to lay a 47 00:02:32,400 --> 00:02:34,480 Speaker 3: guilt trip on him. I'm like, well, it's kind of 48 00:02:34,520 --> 00:02:37,600 Speaker 3: a thing, you know, I buy them and you build them. 49 00:02:37,639 --> 00:02:40,320 Speaker 2: He's like, Okay, think about it. I don't want to 50 00:02:40,320 --> 00:02:40,640 Speaker 2: force it. 51 00:02:40,720 --> 00:02:42,640 Speaker 1: I mean anything that could always be our thing, John, 52 00:02:42,680 --> 00:02:43,640 Speaker 1: you just buy Lego sets. 53 00:02:43,680 --> 00:02:44,280 Speaker 2: I'll build them in. 54 00:02:44,280 --> 00:02:46,120 Speaker 3: Here, all right, I'll bring it in. I'll bring it 55 00:02:46,160 --> 00:02:47,560 Speaker 3: in Friday during Freedom Friday. 56 00:02:47,600 --> 00:02:47,919 Speaker 2: This week. 57 00:02:48,600 --> 00:02:53,720 Speaker 3: You can build the you can build a Hail Mary ship. Well, 58 00:02:53,800 --> 00:02:58,000 Speaker 3: we conduct our Tom Foolery. Welcome to Tuesday show twin 59 00:02:58,040 --> 00:03:00,919 Speaker 3: Cities News Talk AM eleven thirty and one oh three 60 00:03:01,080 --> 00:03:05,360 Speaker 3: five FM. We'll talk artificial intelligence with d v de 61 00:03:05,440 --> 00:03:08,720 Speaker 3: Gartenstein Ross. He'll be joining us at six thirty this morning. 62 00:03:08,800 --> 00:03:13,320 Speaker 3: As always, if you want to get your talkbacks in early, 63 00:03:14,240 --> 00:03:18,560 Speaker 3: any questions you have artificial intelligence related and it is 64 00:03:18,639 --> 00:03:21,720 Speaker 3: kind of a Freedom Tuesday with regard to AI. As 65 00:03:21,720 --> 00:03:24,320 Speaker 3: long as you're on the topic of artificial intelligence, you 66 00:03:24,320 --> 00:03:26,639 Speaker 3: can ask him whatever questions you want to ask him. 67 00:03:26,680 --> 00:03:31,200 Speaker 3: He very much enjoys hearing from you, so drop us 68 00:03:31,200 --> 00:03:33,080 Speaker 3: a talkback. We'll get to those coming up. And if 69 00:03:33,120 --> 00:03:34,960 Speaker 3: you want to get him in early for David, feel 70 00:03:35,000 --> 00:03:38,240 Speaker 3: free to go and do so. We'll talk about how 71 00:03:38,480 --> 00:03:43,080 Speaker 3: there are residents in Minneapolis very upset to add the profanity. 72 00:03:43,320 --> 00:03:48,760 Speaker 3: Leyden Ice anti Ice signs saying there are children around 73 00:03:49,080 --> 00:03:51,840 Speaker 3: and there's profanity that's up in so many windows of 74 00:03:51,920 --> 00:03:55,440 Speaker 3: homes in Minneapolis. HALFA News has that story. We'll get 75 00:03:55,480 --> 00:03:59,160 Speaker 3: into that. Also talk about how the old state flag 76 00:04:02,360 --> 00:04:07,720 Speaker 3: has become a symbol of conservative resistance. Another city is 77 00:04:07,760 --> 00:04:10,520 Speaker 3: adopting the old flag as their official flag and not 78 00:04:10,960 --> 00:04:14,680 Speaker 3: the new one. Oh local media is going out of 79 00:04:14,760 --> 00:04:18,520 Speaker 3: their way to promote the upcoming No Kings rallies. And 80 00:04:18,520 --> 00:04:22,080 Speaker 3: there's a late addition to the event that will be 81 00:04:22,120 --> 00:04:25,400 Speaker 3: taking place in the coming weekend. Speaking of late editions, 82 00:04:25,600 --> 00:04:27,640 Speaker 3: I'm on the show today. I didn't get a chance 83 00:04:27,680 --> 00:04:30,359 Speaker 3: to preview it yesterday because it was a late request. 84 00:04:30,440 --> 00:04:34,240 Speaker 3: But Representative Brandon Gill, we'll be calling in just after 85 00:04:34,320 --> 00:04:38,640 Speaker 3: eight o'clock. He is in town with Representative Tom Emmer. 86 00:04:38,920 --> 00:04:44,520 Speaker 3: Brandon Gill most recently made a lot of waves during 87 00:04:44,720 --> 00:04:47,719 Speaker 3: the fraud hearing that took place in DC where he 88 00:04:47,839 --> 00:04:51,320 Speaker 3: went after Governor Tim Walls on a number of different issues, 89 00:04:51,320 --> 00:04:52,880 Speaker 3: and so I'll get you caught up on that. I 90 00:04:52,920 --> 00:04:57,680 Speaker 3: grabbed some audio of Representative Gill going after Walls, and 91 00:04:57,760 --> 00:05:02,040 Speaker 3: Walls's seemingly inability to go and answer his questions, so 92 00:05:02,080 --> 00:05:04,560 Speaker 3: again we'll talk to him just after eight o'clock this morning. 93 00:05:05,120 --> 00:05:08,800 Speaker 3: The Senate yesterday did confirm, by the way, Senator Mark 94 00:05:08,839 --> 00:05:12,400 Speaker 3: Wayne Mullen to be the next Secretary of the Department 95 00:05:12,480 --> 00:05:16,960 Speaker 3: of Homeland Security. The vote was fifty four forty five, 96 00:05:17,279 --> 00:05:19,640 Speaker 3: largely along party line. It's not a huge surprise there. 97 00:05:20,240 --> 00:05:25,039 Speaker 3: Democrat Senator Martin Heinrich and John Fetterman voted to confirm him. 98 00:05:25,120 --> 00:05:28,640 Speaker 3: Republican Senator Ran Paul voted against his confirmation. What the 99 00:05:28,680 --> 00:05:33,159 Speaker 3: heck happened to Ran Paul? By the way, I feel 100 00:05:33,160 --> 00:05:34,839 Speaker 3: like every time we bring his name up, I'm asking 101 00:05:34,880 --> 00:05:35,640 Speaker 3: that question, but. 102 00:05:37,480 --> 00:05:39,440 Speaker 2: Just off the rails. 103 00:05:39,880 --> 00:05:43,960 Speaker 3: Democrat Senator Reuben Diego did not vote. So Christy Noome's 104 00:05:43,960 --> 00:05:45,919 Speaker 3: going to leave her post on the thirty first of 105 00:05:45,960 --> 00:05:49,640 Speaker 3: this month. She will be now the Special Envoy for 106 00:05:49,800 --> 00:05:53,479 Speaker 3: the Shield of America's Homes. The exit from the Department 107 00:05:53,520 --> 00:05:56,400 Speaker 3: came and made, of course, multiple controversies. Working off the 108 00:05:57,120 --> 00:06:00,160 Speaker 3: story here from the Daily Wire regarding ad spending in 109 00:06:00,279 --> 00:06:03,800 Speaker 3: federal immigration enforcement. Mullen will be taking over, of course, 110 00:06:03,839 --> 00:06:07,560 Speaker 3: the department at a pivotal time, as it has faced 111 00:06:07,560 --> 00:06:11,480 Speaker 3: a lapse in funding since mid February over Trump and 112 00:06:11,520 --> 00:06:15,640 Speaker 3: the immigration tactics of ICE. Of course, ICE now operating 113 00:06:15,640 --> 00:06:19,440 Speaker 3: in airports across the country assisting TSA, and there are 114 00:06:19,480 --> 00:06:23,320 Speaker 3: plenty of the broken and brainwashed who celebrated, you know, 115 00:06:23,440 --> 00:06:26,200 Speaker 3: Gnome being removed from this post. But be careful what 116 00:06:26,240 --> 00:06:29,560 Speaker 3: you wish for. I expect that the efforts of the 117 00:06:29,560 --> 00:06:34,640 Speaker 3: Trump administration are going to move forward unimpeded. Mark Waynemullen 118 00:06:34,760 --> 00:06:36,559 Speaker 3: is going to continue to do the job that Christy 119 00:06:36,640 --> 00:06:39,200 Speaker 3: Nome was doing, and. 120 00:06:39,240 --> 00:06:42,440 Speaker 2: Perhaps even a better job. I kind of feel like Mark. 121 00:06:42,240 --> 00:06:46,480 Speaker 3: Waynemullin is more aligned with borders are Tom Homan. It 122 00:06:46,560 --> 00:06:50,880 Speaker 3: seems like that's a better fit than what Christine Nome was, 123 00:06:52,120 --> 00:06:57,279 Speaker 3: so congrats to him. The Democrats had much of a 124 00:06:57,360 --> 00:06:59,039 Speaker 3: choice in the matter. But we do have a new 125 00:06:59,640 --> 00:07:03,240 Speaker 3: Homeland Security secretary. President Donald Trump was getting a speech, 126 00:07:03,240 --> 00:07:05,040 Speaker 3: by the way, I wanted to share this with you 127 00:07:05,080 --> 00:07:10,320 Speaker 3: really quick. He made these comments regarding ICE an election day. 128 00:07:10,320 --> 00:07:12,720 Speaker 3: I thought it was really interesting. I'll comment further on 129 00:07:12,800 --> 00:07:15,520 Speaker 3: it after the break, But this was President Donald Trump 130 00:07:15,640 --> 00:07:17,960 Speaker 3: during a recent a recent event. 131 00:07:18,480 --> 00:07:21,800 Speaker 4: Voter ID is part of homeland security. 132 00:07:23,360 --> 00:07:23,880 Speaker 2: Think of it. 133 00:07:24,240 --> 00:07:27,200 Speaker 4: We're talking about two separate items, but they're really the same. 134 00:07:27,360 --> 00:07:32,320 Speaker 4: Voter ID is part of homeland security, and citizenship proof 135 00:07:32,360 --> 00:07:35,640 Speaker 4: of citizenship is part of homeland security. 136 00:07:36,680 --> 00:07:39,600 Speaker 3: Those are very telling words coming from President Donald Trump. 137 00:07:39,640 --> 00:07:44,000 Speaker 3: I want to expand upon them and share my thoughts 138 00:07:44,040 --> 00:07:49,640 Speaker 3: on what I think this means, especially relating to the 139 00:07:50,320 --> 00:07:56,480 Speaker 3: Save America Act. Also, speaking of voting, the Conservative Supreme 140 00:07:56,520 --> 00:08:01,760 Speaker 3: Court yesterday signaled a readiness on curbing the late arriving 141 00:08:01,840 --> 00:08:05,640 Speaker 3: male ballots. So there's a lot of moving parts going 142 00:08:05,680 --> 00:08:11,120 Speaker 3: on that could absolutely relate to the Republican's inability to 143 00:08:11,160 --> 00:08:14,160 Speaker 3: go and pass the Save America Act. And again I'll 144 00:08:14,160 --> 00:08:16,840 Speaker 3: get into details of it and share my thoughts on 145 00:08:16,880 --> 00:08:19,280 Speaker 3: what I think President Donald Trump means in that clip. 146 00:08:19,440 --> 00:08:21,280 Speaker 3: And of course I want to hear from you as always, 147 00:08:21,320 --> 00:08:22,320 Speaker 3: you want to give us a call. We got a 148 00:08:22,360 --> 00:08:24,960 Speaker 3: brand new phone number eight four four nine four six 149 00:08:25,040 --> 00:08:28,360 Speaker 3: five eight five five eight four four nine four six 150 00:08:28,480 --> 00:08:32,280 Speaker 3: fifty eight fifty five. You can email Justice at iHeartRadio 151 00:08:32,360 --> 00:08:35,000 Speaker 3: dot com or leave us a talkback on the iHeartRadio. 152 00:08:35,000 --> 00:08:37,000 Speaker 3: Apples are brought to you by Lyndahl Realty. We'll get 153 00:08:37,000 --> 00:08:39,120 Speaker 3: to them next right here on Twin Cities News Talk 154 00:08:39,120 --> 00:08:48,360 Speaker 3: AM eleven thirty and one oh three five FM, Buffalo Fluffalo, 155 00:08:51,640 --> 00:08:54,560 Speaker 3: Twin Cities News Talk Am eleven thirty one oh three 156 00:08:54,679 --> 00:08:59,720 Speaker 3: five FM. David Gartenstein Ross will be joining me John 157 00:09:00,559 --> 00:09:04,760 Speaker 3: shortly about ten minutes from now. If you have any 158 00:09:04,920 --> 00:09:11,880 Speaker 3: artificial intelligence related questions to ask David, as some of 159 00:09:11,920 --> 00:09:15,080 Speaker 3: you already have, you can leave those talkbacks now on 160 00:09:15,120 --> 00:09:19,280 Speaker 3: the iHeartRadio app. You can also email me Justice at 161 00:09:19,280 --> 00:09:23,120 Speaker 3: iHeartRadio dot com and I will get your questions to 162 00:09:23,440 --> 00:09:28,160 Speaker 3: the CEO of Expert Theory and our AI analyst and 163 00:09:28,320 --> 00:09:31,600 Speaker 3: the expert David coming up just after six point thirty. 164 00:09:32,000 --> 00:09:33,880 Speaker 2: Good morning, John Corey from murber Fauls. 165 00:09:34,440 --> 00:09:38,000 Speaker 5: I went to go see Projectail Mary only because of 166 00:09:38,040 --> 00:09:42,040 Speaker 5: your recommendations. Went totally sight unseen. Didn't watch a trailer, 167 00:09:42,080 --> 00:09:44,319 Speaker 5: didn't watch anything. I have to agree with you. It's 168 00:09:44,360 --> 00:09:47,280 Speaker 5: the best movie I've seen in a long, long time. 169 00:09:47,720 --> 00:09:49,280 Speaker 5: Have a great day. Thanks for a recommendation. 170 00:09:49,800 --> 00:09:55,200 Speaker 3: That would be a wild experience to go see that 171 00:09:55,320 --> 00:09:59,840 Speaker 3: movie completely sight unseen. Oh kind of jealous. I'm incapable 172 00:09:59,840 --> 00:10:02,120 Speaker 3: of doing that. I watch all the trailers at nauseum. 173 00:10:02,400 --> 00:10:04,520 Speaker 1: I will say I'm usually the same as you, John, 174 00:10:04,600 --> 00:10:06,800 Speaker 1: but until you mentioned it last week. I never heard 175 00:10:06,800 --> 00:10:09,160 Speaker 1: of this movie, so I'm going in also silence scenes 176 00:10:09,320 --> 00:10:09,640 Speaker 1: you are. 177 00:10:09,520 --> 00:10:11,120 Speaker 2: Okay, I'll let you know. Have you not watched a 178 00:10:11,160 --> 00:10:13,280 Speaker 2: trailer yet? I haven't seen so fun? Okay, then don't. 179 00:10:13,320 --> 00:10:16,319 Speaker 1: I've seen images, right, and not only what you've described 180 00:10:16,360 --> 00:10:16,719 Speaker 1: on the air. 181 00:10:16,840 --> 00:10:19,800 Speaker 3: Gotcha? All right, We'll keep yourself out of the loop, 182 00:10:19,840 --> 00:10:22,200 Speaker 3: because that would be that would be a really fun ride. 183 00:10:22,240 --> 00:10:24,080 Speaker 2: I just don't have the will power. 184 00:10:23,800 --> 00:10:26,240 Speaker 1: To Spider Man. On the other hand, I've watched that 185 00:10:26,280 --> 00:10:27,360 Speaker 1: trailer probably one hundred times. 186 00:10:27,440 --> 00:10:27,920 Speaker 2: A new one. 187 00:10:28,000 --> 00:10:30,360 Speaker 3: Oh yeah, really, yeah, I want to talk about that 188 00:10:30,440 --> 00:10:32,720 Speaker 3: off the air. I'm not sold on the new trailer. 189 00:10:33,320 --> 00:10:36,079 Speaker 3: I'm a little skeptical. Now, doesn't that being said, I'm 190 00:10:36,080 --> 00:10:39,160 Speaker 3: gonna go see the movie on opening day, so you know, sure, 191 00:10:39,520 --> 00:10:42,280 Speaker 3: I got you. My skepticism doesn't really amount to much. 192 00:10:44,559 --> 00:10:48,880 Speaker 3: Regarding Rand Paul and the confirmation of Mark Wayne Mullen 193 00:10:49,000 --> 00:10:53,080 Speaker 3: to Homeland Security Director, Let's go in here from Judy Orning, 194 00:10:53,120 --> 00:10:53,920 Speaker 3: John and Sam. 195 00:10:54,480 --> 00:10:58,000 Speaker 6: Rand Paul is mad because Mark Wayne Mullin did make 196 00:10:58,040 --> 00:11:01,160 Speaker 6: a comment after Rand Paul got beat up by his neighbor, 197 00:11:01,320 --> 00:11:04,840 Speaker 6: which was terrible, but because Rand Paul is a whiny 198 00:11:04,840 --> 00:11:09,920 Speaker 6: little baby along with Thomas Mancy. He Mark Waynemullen said, well, 199 00:11:10,280 --> 00:11:12,520 Speaker 6: I can see why his neighbor might have wanted to 200 00:11:12,520 --> 00:11:16,440 Speaker 6: beat him, which I know probably wasn't right. But Rand 201 00:11:16,480 --> 00:11:20,200 Speaker 6: Paul is huh him and his libertarian as it gets 202 00:11:20,240 --> 00:11:21,719 Speaker 6: him the way have a great day. 203 00:11:21,880 --> 00:11:22,200 Speaker 2: Yeah. 204 00:11:22,280 --> 00:11:23,880 Speaker 3: No, that's a really good that's a really good point. 205 00:11:24,080 --> 00:11:26,360 Speaker 3: That's a really good point. I just he seemed to 206 00:11:26,400 --> 00:11:29,360 Speaker 3: be more consistent in the past and has moved away 207 00:11:29,440 --> 00:11:33,120 Speaker 3: from that level of consistency and has moved over more 208 00:11:33,160 --> 00:11:36,600 Speaker 3: into the category of just finding these moments to get 209 00:11:36,600 --> 00:11:39,720 Speaker 3: his own sound bites at and living in his own principles. 210 00:11:39,720 --> 00:11:40,360 Speaker 2: And good on him. 211 00:11:40,360 --> 00:11:43,760 Speaker 3: But that's what he believes, and that's how he wants 212 00:11:43,800 --> 00:11:46,800 Speaker 3: to conduct himself in Congress. All right, It's up to 213 00:11:46,840 --> 00:11:49,079 Speaker 3: the voters to decide whether or not they want to 214 00:11:49,120 --> 00:11:52,319 Speaker 3: continue to support that. Speaking of voting, By the way, 215 00:11:52,360 --> 00:11:56,320 Speaker 3: Trump made this comment recently at a I wasn't a 216 00:11:56,320 --> 00:11:58,480 Speaker 3: campaign stop, it was just a public speaking event. 217 00:11:58,800 --> 00:12:02,120 Speaker 4: Voter id it is part of homeland security. 218 00:12:03,679 --> 00:12:04,240 Speaker 2: Think of it. 219 00:12:04,559 --> 00:12:07,559 Speaker 4: We're talking about two separate items, but they're really the same. 220 00:12:07,720 --> 00:12:12,640 Speaker 4: Voter idea is part of homeland security and citizenship. Proof 221 00:12:12,679 --> 00:12:15,959 Speaker 4: of citizenship is part of homeland security. 222 00:12:16,640 --> 00:12:23,120 Speaker 3: So I find that really interesting and I know what 223 00:12:23,160 --> 00:12:27,120 Speaker 3: I want now. I've changed my tune on this specifically 224 00:12:27,200 --> 00:12:32,400 Speaker 3: regarding ICE and election day later this year, in all 225 00:12:32,640 --> 00:12:39,160 Speaker 3: of the hubub that Democrats have made about trying to 226 00:12:39,160 --> 00:12:44,800 Speaker 3: get Republicans to commit and Trumps to commit to not 227 00:12:44,960 --> 00:12:48,520 Speaker 3: sending ICE to polling places. Okay, before I get to that, 228 00:12:48,840 --> 00:12:50,360 Speaker 3: and again, I want to encourage you to get your 229 00:12:50,440 --> 00:12:52,840 Speaker 3: questions in for deviat. I just want to spend a 230 00:12:52,840 --> 00:12:54,920 Speaker 3: little bit of time here before we talk with our 231 00:12:55,200 --> 00:12:57,679 Speaker 3: AI analyst coming up after the bottom of the hour. 232 00:12:57,960 --> 00:13:04,360 Speaker 3: The Supreme Court yesterday offered up sharp ideological differences in 233 00:13:04,440 --> 00:13:10,000 Speaker 3: considering a Mississippi election law that allows for the counting 234 00:13:10,040 --> 00:13:15,040 Speaker 3: of mail in ballots received after election day. The Supreme 235 00:13:15,040 --> 00:13:20,320 Speaker 3: Court conservatives seemed to be signaling a readiness to curb 236 00:13:20,559 --> 00:13:25,040 Speaker 3: late arriving mail ballots. So let me share with you 237 00:13:25,120 --> 00:13:30,840 Speaker 3: the report from Fox News yesterday after this Supreme Court 238 00:13:31,120 --> 00:13:33,280 Speaker 3: oral argument hearing took place. 239 00:13:33,240 --> 00:13:36,959 Speaker 7: Can count ballots received after election day? In a case 240 00:13:37,000 --> 00:13:39,880 Speaker 7: that could have an impact in nearly thirty states that 241 00:13:39,960 --> 00:13:43,040 Speaker 7: allows some kind of grace period. The R and C 242 00:13:43,320 --> 00:13:46,240 Speaker 7: is challenging a Mississippi law that allows ballots to be 243 00:13:46,280 --> 00:13:49,920 Speaker 7: counted up to five business days after election day if 244 00:13:49,960 --> 00:13:55,160 Speaker 7: they're postmarked by election day. Justice Alito was among the biggest. 245 00:13:54,760 --> 00:13:56,640 Speaker 3: Skeptics during Monday's arguments. 246 00:13:56,840 --> 00:14:04,679 Speaker 8: Dependence Day, birthday, on election day, and they're all particular days. 247 00:14:04,880 --> 00:14:07,840 Speaker 8: So if we start with that, if I have nothing 248 00:14:07,880 --> 00:14:11,240 Speaker 8: more to look at than the phrase election day, I 249 00:14:11,280 --> 00:14:13,840 Speaker 8: think this is the day in which everything is going. 250 00:14:13,760 --> 00:14:14,440 Speaker 2: To take place. 251 00:14:14,720 --> 00:14:18,200 Speaker 7: But Justice Kagan questioned the impact of that logic on 252 00:14:18,280 --> 00:14:20,080 Speaker 7: practices like early voting. 253 00:14:20,280 --> 00:14:22,560 Speaker 9: It seems to me it's a rule that prevents early 254 00:14:22,640 --> 00:14:25,640 Speaker 9: voting because you're basically saying there are two things that 255 00:14:25,720 --> 00:14:28,800 Speaker 9: have to happen, and they have to happen on election day. 256 00:14:28,880 --> 00:14:31,840 Speaker 7: Meaning the casting of the vote and the receipt of 257 00:14:31,880 --> 00:14:32,640 Speaker 7: that vote. 258 00:14:33,040 --> 00:14:34,160 Speaker 3: But Attorney Paul. 259 00:14:33,960 --> 00:14:37,680 Speaker 7: Clement, representing the RNC, said the argument is that the 260 00:14:37,720 --> 00:14:41,320 Speaker 7: process be consummated or completed by election day. 261 00:14:41,640 --> 00:14:42,280 Speaker 2: A number of. 262 00:14:42,200 --> 00:14:45,640 Speaker 7: The justices also raised the issue of the potential for 263 00:14:45,680 --> 00:14:49,200 Speaker 7: the appearance of fraud when votes arrive and are counted 264 00:14:49,400 --> 00:14:52,320 Speaker 7: after election day and they're wind up being ships in 265 00:14:52,400 --> 00:14:56,040 Speaker 7: vote totals, and how that may impact public confidence. 266 00:14:56,600 --> 00:15:01,000 Speaker 3: Now We'll revisit this topic later on in the show 267 00:15:01,640 --> 00:15:04,960 Speaker 3: after I wrap up my conversation with David Gartzenstein Ross 268 00:15:05,000 --> 00:15:07,960 Speaker 3: coming up next. That being said, though I don't want 269 00:15:07,960 --> 00:15:13,640 Speaker 3: to bury my thoughts on this, because I've definitely changed 270 00:15:13,680 --> 00:15:20,680 Speaker 3: my tune. If Republicans are incapable of doing what needs 271 00:15:20,760 --> 00:15:24,280 Speaker 3: to be done to get the Save Act Save America 272 00:15:24,360 --> 00:15:28,240 Speaker 3: Act passed, okay, First off, it's a massive failure on 273 00:15:28,280 --> 00:15:31,120 Speaker 3: Republicans if they can't if they can't make that happen, okay. 274 00:15:32,360 --> 00:15:35,080 Speaker 3: But if the Save America Act doesn't pass, and you 275 00:15:35,120 --> 00:15:39,120 Speaker 3: look at these recent moves potentially by the Skotis to 276 00:15:40,000 --> 00:15:43,480 Speaker 3: shore up election integrity by limiting the ability to go 277 00:15:43,520 --> 00:15:47,680 Speaker 3: and count these mail in ballots, I want to see 278 00:15:47,840 --> 00:15:51,760 Speaker 3: ice on election Day. I don't want to take the 279 00:15:51,800 --> 00:15:54,320 Speaker 3: wind out of the sales a friend of the show, Rick, 280 00:15:54,440 --> 00:15:59,000 Speaker 3: because he's echoing exactly the sentiments that I was having 281 00:16:00,200 --> 00:16:02,560 Speaker 3: in the wake of President Donald Trump making those comments 282 00:16:02,640 --> 00:16:09,520 Speaker 3: yesterday of tying these things together relating to Homeland Security, DHS, 283 00:16:09,560 --> 00:16:12,880 Speaker 3: Save America Act and what may happen later on this year. 284 00:16:12,920 --> 00:16:15,320 Speaker 3: I'll let Rick go ahead and share his thoughts, of 285 00:16:15,360 --> 00:16:16,360 Speaker 3: which I echo. 286 00:16:18,360 --> 00:16:21,240 Speaker 10: Good morning, John Rick, and Virginia in regards to what 287 00:16:21,280 --> 00:16:23,920 Speaker 10: the President just said, it aligns directly is what I 288 00:16:23,920 --> 00:16:25,760 Speaker 10: said I think a week ago in that if the 289 00:16:25,760 --> 00:16:28,600 Speaker 10: State Act does not get passed, you will see ICE 290 00:16:28,680 --> 00:16:33,360 Speaker 10: agent and all the major metropolises where there is mass 291 00:16:33,440 --> 00:16:36,400 Speaker 10: voting fraud, it's just going to happen. And I think 292 00:16:36,440 --> 00:16:41,800 Speaker 10: you'll see it in place like Philadelphia, Los Angeles, New York, Chicago, 293 00:16:42,400 --> 00:16:44,600 Speaker 10: and many of the states where they don't require ID. 294 00:16:44,800 --> 00:16:46,040 Speaker 3: It's going to be a mess. 295 00:16:46,120 --> 00:16:47,320 Speaker 10: I'm joying able to walk. 296 00:16:47,320 --> 00:16:50,400 Speaker 3: See what I want to see happen to what Rick 297 00:16:50,520 --> 00:16:53,080 Speaker 3: was saying. If the Save America Act doesn't get passed, 298 00:16:53,520 --> 00:16:56,640 Speaker 3: and good on Republicans for not committing to not sending 299 00:16:56,680 --> 00:17:00,720 Speaker 3: ICE agents out, then in those states that do not 300 00:17:00,880 --> 00:17:04,560 Speaker 3: require a voter ID, I want to see ICE at 301 00:17:04,560 --> 00:17:08,520 Speaker 3: those polling places. I think they should adhere to the 302 00:17:09,240 --> 00:17:13,840 Speaker 3: regulated distances of which the voting public has to keep. 303 00:17:13,880 --> 00:17:16,520 Speaker 3: If you're not there to go and vote, you have 304 00:17:16,600 --> 00:17:19,160 Speaker 3: to say, you know, stay a certain distance away from 305 00:17:19,160 --> 00:17:23,600 Speaker 3: the polling place, not to disrupt the polling going on. 306 00:17:24,960 --> 00:17:26,520 Speaker 3: But if we're not going to get the Save America 307 00:17:26,560 --> 00:17:29,119 Speaker 3: Act passed and we're worried about election, integrity, and I 308 00:17:29,119 --> 00:17:32,359 Speaker 3: have a story again coming up after we talk with 309 00:17:32,400 --> 00:17:36,840 Speaker 3: David Gartenstein Ross, an election judge here in Minnesota ended 310 00:17:36,880 --> 00:17:40,760 Speaker 3: up pleading guilty by allowing unregistered people to go and vote. 311 00:17:42,240 --> 00:17:43,600 Speaker 2: Is the fraud big enough to go and. 312 00:17:43,560 --> 00:17:49,280 Speaker 3: Sway elections in most cases not where we're aware of 313 00:17:49,320 --> 00:17:51,960 Speaker 3: the fraud taking place, But it doesn't matter. The fraud 314 00:17:52,080 --> 00:17:56,080 Speaker 3: is taking place. So if Republicans cannot get the Save 315 00:17:56,160 --> 00:17:58,840 Speaker 3: America Act pass, and yeah, in those states that do 316 00:17:58,920 --> 00:18:00,840 Speaker 3: not require ID to go and to vote, I want 317 00:18:00,880 --> 00:18:06,440 Speaker 3: to see ICE out at Poland stations. We'll get into 318 00:18:06,440 --> 00:18:08,000 Speaker 3: more of this coming up later on in the hour. 319 00:18:08,119 --> 00:18:11,600 Speaker 3: Your questions for David Gartenstein Ross, we will get to 320 00:18:11,640 --> 00:18:14,040 Speaker 3: those our AI analyst and expert. I do have a 321 00:18:14,080 --> 00:18:16,160 Speaker 3: couple of items that we will talk about with David, 322 00:18:16,200 --> 00:18:19,919 Speaker 3: and they're somewhat related the latest article laying out the 323 00:18:20,000 --> 00:18:23,920 Speaker 3: jobs that will be most affected by artificial intelligence. 324 00:18:23,800 --> 00:18:26,760 Speaker 2: And how AI is and isn't being used in. 325 00:18:26,680 --> 00:18:29,360 Speaker 3: The local newsroom, and of course your questions as well. 326 00:18:29,400 --> 00:18:31,920 Speaker 3: You can email Justice at iHeartRadio dot com or get 327 00:18:31,920 --> 00:18:34,560 Speaker 3: those talkbacks in to the iHeartRadio app brought to you 328 00:18:34,600 --> 00:18:37,160 Speaker 3: by Lyndahl Realty and we'll talk with David next here 329 00:18:37,200 --> 00:18:45,720 Speaker 3: on Twin Cities news talk radio station. If you're on 330 00:18:46,119 --> 00:18:49,560 Speaker 3: x I need a favor, It's Twin Cities News Talk 331 00:18:49,680 --> 00:18:51,960 Speaker 3: Am eleven thirty one oh three five FM. My name 332 00:18:52,000 --> 00:18:56,359 Speaker 3: is John Justice and the master control booth is Sam. 333 00:18:56,400 --> 00:19:00,280 Speaker 3: This morning, David Gartenstein Ross is on deck, going to 334 00:19:00,320 --> 00:19:03,200 Speaker 3: talk a little artificial intelligence once again this week. We 335 00:19:03,240 --> 00:19:05,600 Speaker 3: have questions already coming in. If you have any questions 336 00:19:05,600 --> 00:19:08,000 Speaker 3: for DVD, you can still get those in Justice at 337 00:19:08,040 --> 00:19:12,200 Speaker 3: iHeartRadio dot com or leave and talkback comment and we'll 338 00:19:12,200 --> 00:19:14,399 Speaker 3: share those with DVD in just a moment. So some 339 00:19:14,520 --> 00:19:16,600 Speaker 3: foes of the show have been sharing a meme with me. 340 00:19:17,760 --> 00:19:20,920 Speaker 3: They taken an old promo promotional pick for the radio station, 341 00:19:21,000 --> 00:19:22,520 Speaker 3: and they've made a bunch of adjustments to it. 342 00:19:22,600 --> 00:19:24,800 Speaker 2: Okay, okay, okay, all right. 343 00:19:24,840 --> 00:19:27,119 Speaker 3: So I've got like I've got like a microphone logo 344 00:19:27,200 --> 00:19:31,399 Speaker 3: with my initials. They've replaced the microphone with a with 345 00:19:31,480 --> 00:19:32,840 Speaker 3: a Jack Daniels whiskey bottle. 346 00:19:35,119 --> 00:19:36,080 Speaker 2: Okay, I gotta look this up. 347 00:19:36,080 --> 00:19:38,240 Speaker 3: Okay, first off, I'm a rum guy, so that's not 348 00:19:38,320 --> 00:19:40,600 Speaker 3: the part of it. They also changed the name of 349 00:19:40,640 --> 00:19:43,280 Speaker 3: the station to let me just pull this up here 350 00:19:43,320 --> 00:19:45,520 Speaker 3: real quick. I got to sitting on my desktop. I 351 00:19:45,600 --> 00:19:47,800 Speaker 3: just thought it was funny if it were now twin 352 00:19:47,880 --> 00:19:52,879 Speaker 3: cities slurkay okay. And then they have my name and 353 00:19:52,920 --> 00:19:55,560 Speaker 3: they included Lojuita Chay, my real last name, because that's 354 00:19:55,560 --> 00:19:58,919 Speaker 3: what justice means. It's just too wordy to say on 355 00:19:58,960 --> 00:20:00,359 Speaker 3: the radio. I changed it a long time time and go. 356 00:20:01,320 --> 00:20:04,040 Speaker 3: And then they have unintelligible above my name in letters, 357 00:20:04,040 --> 00:20:06,480 Speaker 3: in parentheses and quotes. I don't know what that means. 358 00:20:06,760 --> 00:20:10,960 Speaker 3: But behind the photograph there's like an like a graphic image. 359 00:20:10,960 --> 00:20:14,000 Speaker 3: I have no idea what it's supposed to be. All right, 360 00:20:14,000 --> 00:20:16,280 Speaker 3: I'm on the see here, I'll show it you. 361 00:20:16,320 --> 00:20:18,640 Speaker 2: Can you see it? Can you see the picture from there? 362 00:20:19,040 --> 00:20:19,399 Speaker 8: Oh? 363 00:20:19,480 --> 00:20:19,680 Speaker 2: Yeah? 364 00:20:19,680 --> 00:20:21,239 Speaker 3: I don't know what what is it supposed to be? 365 00:20:21,880 --> 00:20:23,080 Speaker 2: I have no I have no idea. 366 00:20:23,840 --> 00:20:26,359 Speaker 3: I put it up on X so so far nobody 367 00:20:26,359 --> 00:20:27,639 Speaker 3: has a good answer. I mean, if you're going to 368 00:20:27,720 --> 00:20:30,360 Speaker 3: do a meme, I mean meme, right, at least put 369 00:20:30,480 --> 00:20:36,440 Speaker 3: up graphics that are relevant to whatever sort of criticism 370 00:20:36,520 --> 00:20:38,359 Speaker 3: you have of me so people can identify it. 371 00:20:38,400 --> 00:20:40,880 Speaker 2: I have no idea what it what it is? 372 00:20:40,920 --> 00:20:44,560 Speaker 3: It looks like the window to the background of Emperor 373 00:20:44,600 --> 00:20:47,920 Speaker 3: Palpatine's Tower and return of the Jedi, the way they're 374 00:20:47,920 --> 00:20:50,639 Speaker 3: all broken up, that way, the way the panes of 375 00:20:50,680 --> 00:20:52,679 Speaker 3: glass are. But anyway, if you can help me out, 376 00:20:52,720 --> 00:20:54,960 Speaker 3: if you're on at X, John, j O, and Justice, 377 00:20:54,960 --> 00:20:57,400 Speaker 3: I would appreciate that. So all right, I've already taken 378 00:20:57,480 --> 00:20:59,479 Speaker 3: up too much time that we usually give to our 379 00:20:59,520 --> 00:21:04,400 Speaker 3: good friend and CEO AI analyst and expert David Gartenstein Ross. 380 00:21:04,400 --> 00:21:07,240 Speaker 2: Come on in, Devid, how we doing this morning, sir dude? 381 00:21:07,320 --> 00:21:09,840 Speaker 9: Well, John, So, I think it's a relevant intro though, right, Like, 382 00:21:10,000 --> 00:21:13,320 Speaker 9: in a world of AI being what it is, there 383 00:21:13,400 --> 00:21:16,600 Speaker 9: is no excuse for sloppy memes about your political foes 384 00:21:16,760 --> 00:21:17,720 Speaker 9: one hundred percent. 385 00:21:18,320 --> 00:21:20,120 Speaker 3: Like, if you're gonna go down that road, at least 386 00:21:20,200 --> 00:21:23,480 Speaker 3: get all of the specifics regarding my personality, the things 387 00:21:23,520 --> 00:21:25,879 Speaker 3: that I like. He correct, I just it seems seems 388 00:21:25,920 --> 00:21:26,800 Speaker 3: very lazy, David. 389 00:21:28,000 --> 00:21:31,720 Speaker 2: I like character assassination worth doing, is worth doing right, 390 00:21:32,280 --> 00:21:33,159 Speaker 2: one hundred percent. 391 00:21:33,560 --> 00:21:37,200 Speaker 3: I did share with the foe of the show who 392 00:21:37,280 --> 00:21:40,080 Speaker 3: initially shared the meme. I did give them an updated graphic, 393 00:21:40,640 --> 00:21:43,800 Speaker 3: so I'm giving them the opportunity to provide a better 394 00:21:44,480 --> 00:21:47,200 Speaker 3: character assassination memes, so we'll see what they come up with. 395 00:21:48,119 --> 00:21:51,320 Speaker 2: Uh, let's get to I feel like I feel John 396 00:21:51,400 --> 00:21:53,760 Speaker 2: like you deserve better foes than what you have. 397 00:21:53,960 --> 00:21:57,240 Speaker 3: Oh yeah, true, you know, Dav Truer words will probably 398 00:21:57,359 --> 00:22:00,000 Speaker 3: not be spoken between now and nine o'clock this morning. 399 00:22:00,800 --> 00:22:03,240 Speaker 3: Let's go to the IHEARTA Radio app. We do have 400 00:22:03,359 --> 00:22:06,040 Speaker 3: questions that have already rolled in for our AI expert 401 00:22:06,280 --> 00:22:09,960 Speaker 3: in analyst, the CEO at Expert Theory d VD Gartenstein Ross, 402 00:22:10,000 --> 00:22:15,439 Speaker 3: and we'll start here this morning, maybe from. 403 00:22:15,320 --> 00:22:16,000 Speaker 11: Mary and John. 404 00:22:16,520 --> 00:22:17,440 Speaker 2: This is for d V. 405 00:22:18,280 --> 00:22:22,359 Speaker 11: With runway incursions being on the rise due to our 406 00:22:22,480 --> 00:22:28,000 Speaker 11: antiquated air traffic a ground traffic systems, could AI not 407 00:22:28,200 --> 00:22:31,159 Speaker 11: be the silver bullet to bring this in? 408 00:22:33,040 --> 00:22:33,359 Speaker 2: David? 409 00:22:33,359 --> 00:22:34,639 Speaker 3: It was a little hard to hear, but did you 410 00:22:34,880 --> 00:22:36,679 Speaker 3: were you able to hear the question from the listener? 411 00:22:38,200 --> 00:22:40,879 Speaker 9: Everything except for like the critical word in the first sentence, 412 00:22:41,280 --> 00:22:43,919 Speaker 9: blank incursions runway incursions. 413 00:22:43,920 --> 00:22:47,480 Speaker 3: I think he's referring to the the LaGuardia crash that 414 00:22:47,600 --> 00:22:49,239 Speaker 3: still is dominating the headlines right now. 415 00:22:50,040 --> 00:22:54,119 Speaker 9: Yeah, yeah, that makes sense. So this is yes, I 416 00:22:54,200 --> 00:22:57,960 Speaker 9: certainly think AI can help, no question about that. There's 417 00:22:57,960 --> 00:23:01,960 Speaker 9: a lot of areas where AI can be a silver 418 00:23:02,080 --> 00:23:05,080 Speaker 9: bullet or part of a silver bullet. It's all a 419 00:23:05,200 --> 00:23:09,600 Speaker 9: matter of understanding how to get the AI right, which 420 00:23:09,640 --> 00:23:11,919 Speaker 9: in certain cases is going to be more complicated than 421 00:23:11,960 --> 00:23:15,760 Speaker 9: we'd like. I was mediactual yesterday with a general officer 422 00:23:16,200 --> 00:23:20,200 Speaker 9: out at Fort brad which is close to where I live. 423 00:23:21,040 --> 00:23:23,200 Speaker 9: We spoke to him for about seventy five minutes yesterday 424 00:23:23,359 --> 00:23:28,320 Speaker 9: about AI, and one of the key observations that we 425 00:23:28,400 --> 00:23:32,480 Speaker 9: both agree to is that the less people understand about AI, 426 00:23:32,840 --> 00:23:36,159 Speaker 9: generally speaking, the more they either see it as the 427 00:23:36,240 --> 00:23:40,480 Speaker 9: solution to everything without modification or else as entirely useless. 428 00:23:41,000 --> 00:23:43,119 Speaker 9: In this case, I think the listener's right that there 429 00:23:43,200 --> 00:23:45,880 Speaker 9: is a silver bullet embedded. How much work it would 430 00:23:45,880 --> 00:23:47,600 Speaker 9: take to get to that silver bullet, I think is 431 00:23:47,920 --> 00:23:48,600 Speaker 9: a big question. 432 00:23:48,680 --> 00:23:49,399 Speaker 2: I don't know the answer. 433 00:23:49,920 --> 00:23:53,200 Speaker 3: Let's get to Eric, who has a question for you. 434 00:23:53,320 --> 00:23:56,000 Speaker 3: Talking with David garten Stein Ross Hey the. 435 00:23:56,080 --> 00:24:00,160 Speaker 12: VD Eric from Minneapolis. I use AI a lot every 436 00:24:00,280 --> 00:24:02,440 Speaker 12: day life, but I do have one question. I think 437 00:24:02,480 --> 00:24:05,680 Speaker 12: it relates to what we're talking about today. How many 438 00:24:05,880 --> 00:24:10,320 Speaker 12: polling places are there in the United States? I asked AI, 439 00:24:10,560 --> 00:24:13,520 Speaker 12: and it just gives me links. And then I said 440 00:24:13,600 --> 00:24:15,440 Speaker 12: to AI, Hey, you know how many you should be 441 00:24:15,440 --> 00:24:18,680 Speaker 12: able to answer that. It says, there's literally no data 442 00:24:18,760 --> 00:24:21,920 Speaker 12: available for this no response. It's the first for me 443 00:24:22,000 --> 00:24:24,399 Speaker 12: to get a no response, not and I'm sorry or 444 00:24:24,440 --> 00:24:25,399 Speaker 12: something to. 445 00:24:25,440 --> 00:24:28,480 Speaker 2: Feed your thoughts. I think that's actually an improvement. 446 00:24:29,320 --> 00:24:33,840 Speaker 9: I mean, my experience is that AI will will often 447 00:24:33,960 --> 00:24:37,240 Speaker 9: make things up when it doesn't actually know the answer, 448 00:24:37,720 --> 00:24:39,200 Speaker 9: So the fact that it's saying that it doesn't have 449 00:24:39,359 --> 00:24:41,560 Speaker 9: the data is an improvement. 450 00:24:42,280 --> 00:24:43,680 Speaker 2: The reason why it doesn't know about. 451 00:24:43,440 --> 00:24:49,800 Speaker 9: Polling places is because AI is actually much less smart 452 00:24:50,440 --> 00:24:54,480 Speaker 9: than any sort of informed expert on a question like that. 453 00:24:55,119 --> 00:24:58,040 Speaker 9: The way it gets at that question is by doing 454 00:24:58,320 --> 00:25:02,399 Speaker 9: kind of a series of Google and other searches to 455 00:25:02,520 --> 00:25:05,840 Speaker 9: see if it can turn up the answer. And we 456 00:25:05,880 --> 00:25:09,520 Speaker 9: can talk a little bit about AI knowledge, but AI 457 00:25:10,040 --> 00:25:12,919 Speaker 9: resides generally speaking on the surface of the web. Right now, 458 00:25:13,760 --> 00:25:16,840 Speaker 9: very few large language models have the capabilities, at least 459 00:25:16,960 --> 00:25:20,800 Speaker 9: as their packages on the web to watch video. So 460 00:25:21,000 --> 00:25:23,879 Speaker 9: if you watch, like if you ask it about something 461 00:25:23,960 --> 00:25:27,119 Speaker 9: that is in a video or in a movie that 462 00:25:27,480 --> 00:25:31,480 Speaker 9: isn't that people haven't written about, it won't know the answer, 463 00:25:31,560 --> 00:25:34,240 Speaker 9: even if it could easily go and watch that video. 464 00:25:34,520 --> 00:25:37,959 Speaker 9: Just as one example, so because polling places are very 465 00:25:38,040 --> 00:25:43,000 Speaker 9: localized by district, there's not good national level data, and 466 00:25:43,080 --> 00:25:46,840 Speaker 9: these not that are readily available a number of polling places. Anyway, 467 00:25:47,119 --> 00:25:48,880 Speaker 9: to me, the fact that the AI is just telling 468 00:25:48,920 --> 00:25:51,320 Speaker 9: you it doesn't know rather than making up something stupid 469 00:25:51,880 --> 00:25:53,560 Speaker 9: is a little bit of an improvement to what I'm 470 00:25:53,640 --> 00:25:53,840 Speaker 9: used to. 471 00:25:54,560 --> 00:25:57,080 Speaker 3: That makes a lot of sense in something I wasn't 472 00:25:57,160 --> 00:26:03,719 Speaker 3: aware of regarding AI's limitations relating to video. I've often 473 00:26:03,960 --> 00:26:09,240 Speaker 3: seen that somebody will do a vague post. They'll post 474 00:26:09,359 --> 00:26:13,639 Speaker 3: a clip from a film. They'll make a comment regarding, 475 00:26:14,200 --> 00:26:17,920 Speaker 3: you know, the quality of the video, the moment in 476 00:26:18,000 --> 00:26:20,879 Speaker 3: the film, but they won't identify what the film is, 477 00:26:21,040 --> 00:26:23,880 Speaker 3: and that of course prompts individuals to go what's the movie? 478 00:26:24,280 --> 00:26:26,680 Speaker 3: And it's funny because I'll often go into those threads 479 00:26:26,680 --> 00:26:28,679 Speaker 3: if I'm unaware of what the film is, and somebody, 480 00:26:29,000 --> 00:26:32,000 Speaker 3: inevitably within the first few posts will have asked Grock 481 00:26:32,400 --> 00:26:34,920 Speaker 3: what is this film? And I'm always surprised at how 482 00:26:35,000 --> 00:26:38,080 Speaker 3: often GROC does not know what that movie is. They're 483 00:26:38,160 --> 00:26:40,560 Speaker 3: usually a lot of times are wrong. So that makes 484 00:26:40,560 --> 00:26:42,720 Speaker 3: sense based off of what you said in the inabilities 485 00:26:42,760 --> 00:26:44,440 Speaker 3: of limitations regarding video. 486 00:26:45,160 --> 00:26:47,920 Speaker 9: Yeah, And the way you can get Grock or any 487 00:26:48,000 --> 00:26:51,879 Speaker 9: AI to answer is by taking screenshots and sending it 488 00:26:52,000 --> 00:26:54,720 Speaker 9: the stills. It actually has a very good ability to 489 00:26:54,880 --> 00:26:58,520 Speaker 9: look at stills, and if I wanted to analyze part 490 00:26:58,560 --> 00:27:02,000 Speaker 9: of the video, I'll take screen captures and send it 491 00:27:02,080 --> 00:27:04,639 Speaker 9: a series of stills, and it can be actually very 492 00:27:04,680 --> 00:27:09,880 Speaker 9: insightful about the screen captures. Its ability to understand images 493 00:27:10,440 --> 00:27:13,560 Speaker 9: has grown significantly across large language models. 494 00:27:13,960 --> 00:27:15,359 Speaker 2: Still can't watch video, though. 495 00:27:15,960 --> 00:27:19,879 Speaker 3: Do you anticipate that that will change sometime in the 496 00:27:19,960 --> 00:27:20,560 Speaker 3: near future. 497 00:27:21,760 --> 00:27:21,960 Speaker 2: Yeah. 498 00:27:21,960 --> 00:27:23,920 Speaker 9: I mean the reason why I said that, at least 499 00:27:23,960 --> 00:27:26,560 Speaker 9: the versions that are readily available on the web is 500 00:27:26,640 --> 00:27:29,960 Speaker 9: because I suspect that already that's been resolved. 501 00:27:30,200 --> 00:27:31,600 Speaker 2: It's just expensive for to. 502 00:27:31,640 --> 00:27:35,920 Speaker 9: Watch video because so a lot of the expensive AI 503 00:27:36,600 --> 00:27:40,560 Speaker 9: comes from how much processing power something takes. Right, So 504 00:27:40,640 --> 00:27:42,600 Speaker 9: it takes a lot more processing power for it to 505 00:27:42,680 --> 00:27:46,120 Speaker 9: create a picture than for it to create written text, 506 00:27:46,800 --> 00:27:49,399 Speaker 9: depending on the complexity of the picture in the size 507 00:27:49,440 --> 00:27:52,680 Speaker 9: of the written text, but generally speaking, a picture is 508 00:27:52,720 --> 00:27:56,399 Speaker 9: going to take more processing power. Watching video and analyzing 509 00:27:56,520 --> 00:27:59,879 Speaker 9: video takes a lot of processing power, and I suspect 510 00:28:00,160 --> 00:28:05,760 Speaker 9: part of it. Number One, AI companies don't really want 511 00:28:05,800 --> 00:28:06,760 Speaker 9: to let that loose. 512 00:28:06,840 --> 00:28:07,000 Speaker 2: Yet. 513 00:28:07,840 --> 00:28:10,960 Speaker 9: Number two, I think there actually are very very authority 514 00:28:11,119 --> 00:28:15,119 Speaker 9: legal liability issues. Right, So you'll remember there's been lawsuits 515 00:28:15,160 --> 00:28:19,480 Speaker 9: against lms for being biased against certain figures, Like there's 516 00:28:19,520 --> 00:28:22,840 Speaker 9: one conservative figure who famously filed a lawsuit and seem 517 00:28:22,920 --> 00:28:26,120 Speaker 9: to at least have made some ground on it. If 518 00:28:26,160 --> 00:28:28,239 Speaker 9: it watches a video, it's not going to know if 519 00:28:28,320 --> 00:28:32,800 Speaker 9: the video is real or fake. And so if it 520 00:28:33,040 --> 00:28:37,240 Speaker 9: treats something that is real as fiction, it might categorize 521 00:28:37,359 --> 00:28:41,760 Speaker 9: real people as like being villains or kind of laying 522 00:28:41,800 --> 00:28:44,720 Speaker 9: into them the way it will lay into fictional characters. Right, 523 00:28:44,800 --> 00:28:48,200 Speaker 9: It'll tell you how awful a fictional character is. Generally speaking, 524 00:28:48,280 --> 00:28:51,720 Speaker 9: most AIS will not tell you how awful a human 525 00:28:51,800 --> 00:28:55,360 Speaker 9: being is. Groc is like a possible exception. Grock will 526 00:28:55,400 --> 00:28:58,960 Speaker 9: do that. Most AIS will not do that. And so 527 00:28:59,280 --> 00:29:02,000 Speaker 9: embedded within that the logic model of how it interprets 528 00:29:02,080 --> 00:29:09,960 Speaker 9: fictional versus nonfiction, it gets into some thority legal ground 529 00:29:10,440 --> 00:29:12,560 Speaker 9: when it comes to how it interprets video. I think 530 00:29:12,600 --> 00:29:15,800 Speaker 9: that is also actually part of the intellectual challenge. In 531 00:29:15,840 --> 00:29:17,800 Speaker 9: addition to processing power. 532 00:29:17,920 --> 00:29:22,080 Speaker 3: What is it going to take relating to related to 533 00:29:22,240 --> 00:29:26,720 Speaker 3: getting giving AI enough processing power. Let me add an 534 00:29:26,720 --> 00:29:30,560 Speaker 3: element to this, something that we haven't talked about a 535 00:29:30,640 --> 00:29:34,960 Speaker 3: lot recently, but there's been a lot of challenges across 536 00:29:35,120 --> 00:29:38,800 Speaker 3: the country when it comes to different AI companies that 537 00:29:38,880 --> 00:29:42,520 Speaker 3: want to set up shop at certain states data centers, 538 00:29:42,760 --> 00:29:44,360 Speaker 3: data centers that are going up. There's a lot of 539 00:29:44,400 --> 00:29:46,960 Speaker 3: opposition to this. It would seem to me that that 540 00:29:47,040 --> 00:29:52,640 Speaker 3: would stifle a lot of the potential of growth for AI, 541 00:29:52,800 --> 00:29:55,800 Speaker 3: sort of bogging down in politics and you know, and 542 00:29:55,920 --> 00:29:56,680 Speaker 3: local matters. 543 00:29:56,760 --> 00:30:00,160 Speaker 2: But your your thoughts on that devid Yeah, I mean 544 00:30:00,280 --> 00:30:01,000 Speaker 2: I think that it will. 545 00:30:01,200 --> 00:30:04,040 Speaker 9: But I think also if you look at the trend 546 00:30:04,640 --> 00:30:09,880 Speaker 9: in AI and across all computational methods, it's that the 547 00:30:09,960 --> 00:30:12,560 Speaker 9: amount of power it requires the clients over time. 548 00:30:13,560 --> 00:30:17,120 Speaker 2: Part of the reason why AI is requiring more and more. 549 00:30:17,000 --> 00:30:19,840 Speaker 9: Processing power is because we're asking it to do more 550 00:30:19,880 --> 00:30:22,760 Speaker 9: and more powerful things. Right, AI models are just getting 551 00:30:22,840 --> 00:30:25,760 Speaker 9: better and better. But if you go back, you know, 552 00:30:26,000 --> 00:30:29,600 Speaker 9: three years ago and look at what for example, chat 553 00:30:29,720 --> 00:30:31,800 Speaker 9: GPT was doing right at the very beginning of when 554 00:30:31,880 --> 00:30:34,520 Speaker 9: we started doing these segments, because we realized something new 555 00:30:34,680 --> 00:30:38,640 Speaker 9: was happening in the world. You know that the kind 556 00:30:38,640 --> 00:30:41,920 Speaker 9: of inquiries we're doing three years ago, you know, back 557 00:30:41,960 --> 00:30:44,440 Speaker 9: with a napkin, they probably cost twenty percent as much 558 00:30:44,600 --> 00:30:48,760 Speaker 9: in terms of energy consumption than they did three years ago, 559 00:30:48,960 --> 00:30:49,520 Speaker 9: is my guess. 560 00:30:50,680 --> 00:30:54,760 Speaker 3: Just an interesting sidebar observation. I was doing a rewatch 561 00:30:55,040 --> 00:30:59,440 Speaker 3: of Steven Spielberg's Artificial Intelligence movie recently, and I thought 562 00:30:59,480 --> 00:31:04,240 Speaker 3: it was interesting because while we certainly haven't advanced to 563 00:31:04,560 --> 00:31:07,200 Speaker 3: the place yet where in the film they did in 564 00:31:07,360 --> 00:31:10,360 Speaker 3: terms of having you know, AI humanoids, for lack of 565 00:31:10,360 --> 00:31:12,760 Speaker 3: a better way to describe them, the way that the 566 00:31:12,880 --> 00:31:17,920 Speaker 3: AIS operated, you know, as as beings right as robots, 567 00:31:19,360 --> 00:31:24,000 Speaker 3: what seemed off of where AI actually is right now, Like, 568 00:31:24,080 --> 00:31:27,000 Speaker 3: I can't imagine that when we reach a place where 569 00:31:27,480 --> 00:31:31,360 Speaker 3: we have the same type of robots like they had 570 00:31:31,400 --> 00:31:34,720 Speaker 3: in Artificial Intelligence, them acting the way that they did 571 00:31:35,000 --> 00:31:35,480 Speaker 3: in the movie. 572 00:31:35,520 --> 00:31:36,920 Speaker 2: I just thought it was an interesting observation. 573 00:31:37,000 --> 00:31:40,000 Speaker 3: I mean, that was obviously looking ahead and extrapolating and 574 00:31:40,040 --> 00:31:42,720 Speaker 3: speculating on what AI is going to be like. But 575 00:31:43,160 --> 00:31:46,040 Speaker 3: even within that film, you know, it's it's off and 576 00:31:46,200 --> 00:31:49,080 Speaker 3: less advanced in my opinion, than where we actually are 577 00:31:49,200 --> 00:31:51,960 Speaker 3: with AI, even though we haven't achieved that level of 578 00:31:52,080 --> 00:31:52,720 Speaker 3: robotics yet. 579 00:31:54,360 --> 00:31:58,600 Speaker 9: I agree entirely, it's really interesting to look at much 580 00:31:59,440 --> 00:32:03,040 Speaker 9: to look at older science fiction on it, and to 581 00:32:03,120 --> 00:32:05,360 Speaker 9: see where what it got right and what it got wrong. 582 00:32:06,040 --> 00:32:09,160 Speaker 9: One of the things that it gets most wrong, of course, 583 00:32:10,080 --> 00:32:13,280 Speaker 9: is it has machines speak in a robot voice exactly. 584 00:32:13,480 --> 00:32:15,440 Speaker 2: Is one of the very first things that they solved. 585 00:32:16,320 --> 00:32:18,560 Speaker 3: Let's go back to the iHeartRadio app. More questions rolling 586 00:32:18,600 --> 00:32:21,360 Speaker 3: in for our AI analysts and expert CEO at Expert 587 00:32:21,400 --> 00:32:22,800 Speaker 3: Theory d v'd Gartzenstein Ross. 588 00:32:23,280 --> 00:32:27,200 Speaker 10: Hey, John, here's a question for the So, if all 589 00:32:27,240 --> 00:32:31,400 Speaker 10: these AI lllms are pull in their information off the internet, 590 00:32:32,360 --> 00:32:32,920 Speaker 10: who's going. 591 00:32:32,880 --> 00:32:34,640 Speaker 2: To stop somebody from making. 592 00:32:34,480 --> 00:32:35,560 Speaker 8: A chat pod. 593 00:32:36,840 --> 00:32:39,520 Speaker 10: To just muddy the waters even more and just completely 594 00:32:39,760 --> 00:32:43,760 Speaker 10: ruin AI. And if that happens, won't ruined the whole 595 00:32:43,880 --> 00:32:44,720 Speaker 10: market for AI. 596 00:32:45,280 --> 00:32:48,080 Speaker 3: I'm not sure I quite understand the question there, d V. 597 00:32:48,240 --> 00:32:50,280 Speaker 3: Did you grasp what he was what he was attempting 598 00:32:50,320 --> 00:32:50,760 Speaker 3: to ask there? 599 00:32:52,640 --> 00:32:56,080 Speaker 9: Absolutely, in part because like it's something that is being 600 00:32:56,240 --> 00:33:00,520 Speaker 9: done by a state actor right now, which people believe 601 00:33:00,600 --> 00:33:03,160 Speaker 9: to be the Russians. Okay, right, So the point he 602 00:33:03,240 --> 00:33:06,840 Speaker 9: is making is that AI pulls from the web, So 603 00:33:06,960 --> 00:33:11,960 Speaker 9: why couldn't you just populate the web with bad information? 604 00:33:12,600 --> 00:33:15,240 Speaker 9: That will influence the way the AI understands the world 605 00:33:15,560 --> 00:33:19,560 Speaker 9: and thus decrease the value of AI. And what I 606 00:33:19,560 --> 00:33:23,120 Speaker 9: will say is just it is very clear that there 607 00:33:23,400 --> 00:33:28,200 Speaker 9: are different can we call it cognitive warfare informational warfare, 608 00:33:28,680 --> 00:33:31,440 Speaker 9: that there are aspects of this that are very very 609 00:33:31,600 --> 00:33:35,880 Speaker 9: designed to influence AI first and foremost, with the idea 610 00:33:36,000 --> 00:33:39,240 Speaker 9: being that the AI will then influence everybody else downstream. 611 00:33:39,800 --> 00:33:43,400 Speaker 9: So what the listener is describing is something that is 612 00:33:43,560 --> 00:33:47,880 Speaker 9: there and correct. However, it's not going to destroy AI. 613 00:33:48,760 --> 00:33:54,080 Speaker 9: The reason why is AI when you put in rules 614 00:33:54,240 --> 00:33:57,040 Speaker 9: of what it interpres has real versus fake, or how 615 00:33:57,280 --> 00:34:02,520 Speaker 9: it can determine fact from fiction, AI is actually rather 616 00:34:02,680 --> 00:34:06,880 Speaker 9: sophisticated in that regard as long as the rules are right. 617 00:34:07,520 --> 00:34:11,000 Speaker 9: So what the listener's describing is a world of increasing 618 00:34:11,120 --> 00:34:17,000 Speaker 9: spam and increasing bad information designed to influence AI. And 619 00:34:17,120 --> 00:34:19,000 Speaker 9: what it's going to force is AI to get smarter. 620 00:34:19,200 --> 00:34:20,799 Speaker 9: And we can already see examples of this in your 621 00:34:20,840 --> 00:34:23,600 Speaker 9: inbox right. All of our inboxes over the past few 622 00:34:23,680 --> 00:34:26,280 Speaker 9: years have just gotten flooded more and more by spam. 623 00:34:27,239 --> 00:34:30,960 Speaker 9: People who have relatively good email systems like Microsoft Office 624 00:34:31,200 --> 00:34:34,600 Speaker 9: or Gmail will see that the spam filter. It catches 625 00:34:34,640 --> 00:34:36,520 Speaker 9: some things you don't want it to, but it does 626 00:34:36,560 --> 00:34:38,880 Speaker 9: a really good job of filtering out. 627 00:34:38,840 --> 00:34:40,040 Speaker 2: Most of the true spam. 628 00:34:40,480 --> 00:34:43,120 Speaker 9: Can't do anything about those lists that you voluntarily subscribed 629 00:34:43,120 --> 00:34:45,760 Speaker 9: to you and you wish you hadn't. But like true spam, 630 00:34:46,280 --> 00:34:50,440 Speaker 9: the spam filter is pretty good and eliminating AI slop 631 00:34:50,560 --> 00:34:54,120 Speaker 9: from how AI interprets the world is a very similar process. 632 00:34:54,200 --> 00:34:55,080 Speaker 2: John, let's go. 633 00:34:55,120 --> 00:34:57,799 Speaker 3: Back to the iHeartRadio app. Here a top back's brought 634 00:34:57,840 --> 00:34:58,800 Speaker 3: to you by Lindahl Realty. 635 00:34:59,239 --> 00:35:03,719 Speaker 13: Good morning guys, Hey devite a lot of these websites 636 00:35:03,760 --> 00:35:07,440 Speaker 13: that'll make you a website, help you sell things, they 637 00:35:07,520 --> 00:35:10,040 Speaker 13: actually own a portion of the product that you sell 638 00:35:10,160 --> 00:35:13,120 Speaker 13: or a portion of your business. Is AI like that 639 00:35:13,239 --> 00:35:15,400 Speaker 13: as well? When you have AI help you do that stuff? 640 00:35:15,680 --> 00:35:16,000 Speaker 2: Thank you? 641 00:35:16,680 --> 00:35:18,600 Speaker 3: You know it's funny. I actually have a somewhat answer 642 00:35:18,640 --> 00:35:22,040 Speaker 3: to that. But David, your thoughts, let's. 643 00:35:21,880 --> 00:35:24,160 Speaker 2: Let's hear your so much answer. I'm interested much. 644 00:35:24,719 --> 00:35:28,560 Speaker 3: Because I do know that there are concerns of, you know, 645 00:35:28,719 --> 00:35:34,680 Speaker 3: even within radio, of creating something via AI and who 646 00:35:34,800 --> 00:35:39,000 Speaker 3: actually goes and owns that. On top of concerns that 647 00:35:39,880 --> 00:35:43,720 Speaker 3: if you have something created by a third party, who's 648 00:35:43,760 --> 00:35:46,520 Speaker 3: created a parody or a song or you know, a 649 00:35:46,600 --> 00:35:49,960 Speaker 3: parody ad. There's concerns that the AI could actually be 650 00:35:50,080 --> 00:35:52,880 Speaker 3: pulling from real sources. You may not even be aware 651 00:35:52,920 --> 00:35:56,000 Speaker 3: of it, and there could be further copyright issues even 652 00:35:56,080 --> 00:35:59,680 Speaker 3: beyond the ownership of the program to the content and 653 00:35:59,760 --> 00:36:01,520 Speaker 3: create yep. 654 00:36:02,400 --> 00:36:05,360 Speaker 9: I mean that that's basically what I was going to 655 00:36:05,440 --> 00:36:11,840 Speaker 9: go to that it's unsettled ground. However, the answer is 656 00:36:12,040 --> 00:36:15,600 Speaker 9: right now, no, AI would not do that. The question 657 00:36:15,760 --> 00:36:20,040 Speaker 9: is will AI companies like come for a part of 658 00:36:20,080 --> 00:36:22,640 Speaker 9: your profit in the future or or a part or 659 00:36:22,680 --> 00:36:23,880 Speaker 9: a part of your copyright. 660 00:36:24,640 --> 00:36:25,320 Speaker 2: That may happen. 661 00:36:26,480 --> 00:36:29,600 Speaker 9: However, if I were to protect forward, I think that 662 00:36:29,760 --> 00:36:31,600 Speaker 9: the clear answer is no, they are not going to 663 00:36:31,680 --> 00:36:32,400 Speaker 9: do that successfully. 664 00:36:33,400 --> 00:36:35,560 Speaker 3: David Garden Yeah, go ahead. 665 00:36:36,040 --> 00:36:36,239 Speaker 2: Yeah. 666 00:36:36,440 --> 00:36:38,200 Speaker 9: The reason why is just because since they pulled so 667 00:36:38,320 --> 00:36:40,640 Speaker 9: much from the open Web, you had this settle settlement 668 00:36:40,680 --> 00:36:44,120 Speaker 9: of a lot of different copyright claims. It really buddies 669 00:36:44,160 --> 00:36:46,239 Speaker 9: the water for them to go in the future and 670 00:36:46,280 --> 00:36:49,320 Speaker 9: then claim co creation and a part of your copyright. 671 00:36:49,440 --> 00:36:51,920 Speaker 2: Is my just quick two cent take on that. But 672 00:36:52,040 --> 00:36:53,120 Speaker 2: it's unsettled ground. 673 00:36:53,200 --> 00:36:56,960 Speaker 3: John David garten Stein Ross Time flew this morning. We 674 00:36:57,000 --> 00:36:58,680 Speaker 3: didn't even get to the stack of stories that I 675 00:36:58,760 --> 00:37:01,680 Speaker 3: had pulled. But I appreciate the fact that we get 676 00:37:01,719 --> 00:37:04,239 Speaker 3: to answer get those questions answered from our audience, and 677 00:37:04,280 --> 00:37:07,439 Speaker 3: I look forward to doing the same again next week. 678 00:37:07,480 --> 00:37:09,680 Speaker 3: Thank you for the time, Dav'd. I really appreciate it. 679 00:37:10,680 --> 00:37:12,400 Speaker 2: Thank you, John. It is such a pleasure to join 680 00:37:12,440 --> 00:37:13,040 Speaker 2: you in your audience. 681 00:37:13,200 --> 00:37:16,200 Speaker 3: If anybody has any additional questions for dav he didn't 682 00:37:16,200 --> 00:37:18,320 Speaker 3: get a chance to get your talkbacks or emails in, 683 00:37:18,560 --> 00:37:22,719 Speaker 3: you can always email me Justice at iHeartRadio dot com 684 00:37:23,000 --> 00:37:25,759 Speaker 3: and I'm happy to go and forward those emails off 685 00:37:26,200 --> 00:37:29,400 Speaker 3: to Dav'd for him to go and answer. All Right, 686 00:37:29,400 --> 00:37:33,800 Speaker 3: coming up, we'll turn our attention back to elections and voting. 687 00:37:33,840 --> 00:37:39,719 Speaker 3: An election judge here in Minnesota allowed some unregistered individuals 688 00:37:39,800 --> 00:37:43,440 Speaker 3: to go and vote, ends up pleading guilty to that charge. 689 00:37:44,880 --> 00:37:47,200 Speaker 3: Also may have gotten an answer to the foes of 690 00:37:47,239 --> 00:37:49,920 Speaker 3: the show memes. I have a talk back that roll 691 00:37:50,000 --> 00:37:51,560 Speaker 3: and let me share this just briefly. 692 00:37:52,600 --> 00:37:55,120 Speaker 9: Hey, John, you might want to take that picture down, 693 00:37:55,200 --> 00:37:58,520 Speaker 9: the image behind your head as a stylized swastika. 694 00:38:00,040 --> 00:38:01,040 Speaker 2: Have a good day, Sam. 695 00:38:01,120 --> 00:38:02,840 Speaker 3: Is that what you figured out via your research or 696 00:38:02,880 --> 00:38:05,239 Speaker 3: did you not stumble across to find anything. Somebody had 697 00:38:05,320 --> 00:38:07,480 Speaker 3: created a Fox of the show had created a ridiculous 698 00:38:07,520 --> 00:38:10,000 Speaker 3: meme of me, and there's an image behind my behind 699 00:38:10,040 --> 00:38:11,800 Speaker 3: my head. So I didn't make it, so I'm not 700 00:38:11,840 --> 00:38:13,200 Speaker 3: going to pull it down. I'll leave it up to 701 00:38:13,320 --> 00:38:15,360 Speaker 3: the listeners that they want to go track down what 702 00:38:15,440 --> 00:38:17,960 Speaker 3: the what the image is, so we'll get some more 703 00:38:18,000 --> 00:38:20,520 Speaker 3: of your talkbacks coming up next here on Spin City's 704 00:38:20,520 --> 00:38:23,120 Speaker 3: News Talk AM eleven thirty and one oh three five FM, 705 00:38:23,320 --> 00:38:26,120 Speaker 3: they have what's called a Trump derangement problem. 706 00:38:26,200 --> 00:38:27,440 Speaker 2: Have you heard about that problem?