1 00:00:05,440 --> 00:00:12,119 Speaker 1: President Donald Trump was traveling or turning back to DC. 2 00:00:13,119 --> 00:00:16,560 Speaker 1: He had a reporter ask a question regarding whether or 3 00:00:16,600 --> 00:00:20,440 Speaker 1: not his well his voice was sounding rough. 4 00:00:20,239 --> 00:00:21,560 Speaker 2: As mine was just a moment ago. 5 00:00:23,280 --> 00:00:25,360 Speaker 1: So the reporter asked if he was feeling all right, 6 00:00:25,400 --> 00:00:27,400 Speaker 1: and this was Trump's response, Hell, the. 7 00:00:27,400 --> 00:00:29,280 Speaker 2: President's always news. Your voice sounds a little rough, for 8 00:00:29,320 --> 00:00:30,080 Speaker 2: you're filling our oath. 9 00:00:30,520 --> 00:00:34,400 Speaker 3: I feel great. I was shouting at people because they 10 00:00:34,479 --> 00:00:39,280 Speaker 3: was stupid about something having to do with trade in 11 00:00:39,400 --> 00:00:42,520 Speaker 3: a country, and I straightened it out. But I blew 12 00:00:42,600 --> 00:00:44,120 Speaker 3: my stack at these three ways. 13 00:00:45,760 --> 00:00:49,720 Speaker 1: He does not get nearly enough credit for his sense 14 00:00:49,760 --> 00:00:53,519 Speaker 1: of humor or just credit in general, which will be 15 00:00:53,600 --> 00:00:55,920 Speaker 1: a topic of discussion on the show this morning. Welcome 16 00:00:56,400 --> 00:00:58,959 Speaker 1: Tuesday has the feel it's Twin City's news talking. I'm 17 00:00:58,960 --> 00:01:04,080 Speaker 1: eleven thirty one three live on the iHeartRadio app broadcasting 18 00:01:04,080 --> 00:01:07,440 Speaker 1: from the six five to one carpet Next Day Install Studios. 19 00:01:07,480 --> 00:01:08,679 Speaker 2: My name is John Justice. 20 00:01:08,720 --> 00:01:11,839 Speaker 1: In the booth next door is Sam and I'm glad 21 00:01:11,880 --> 00:01:14,000 Speaker 1: that you are with the show this morning. You can 22 00:01:14,040 --> 00:01:18,360 Speaker 1: email me Justice at iHeartRadio dot com. Ryan Wilson, former 23 00:01:19,040 --> 00:01:23,440 Speaker 1: candidate for auditor, now running for Lieutenant governor on the 24 00:01:23,480 --> 00:01:26,000 Speaker 1: ticket with Lisa Damith. He'll be joining us in the 25 00:01:26,040 --> 00:01:29,920 Speaker 1: studio coming up at seven point thirty. We'll talk taxes. 26 00:01:30,200 --> 00:01:34,000 Speaker 1: I know it's not exciting, but it is frustrating and 27 00:01:34,040 --> 00:01:37,440 Speaker 1: it needs to be discussed as property taxes across the 28 00:01:37,480 --> 00:01:40,679 Speaker 1: state are going up to the tune of one billion 29 00:01:41,440 --> 00:01:47,440 Speaker 1: dollars and it's not just for one particular reason. So 30 00:01:47,520 --> 00:01:50,480 Speaker 1: we'll talk with Ryan Wilson about that. Also moves being 31 00:01:50,480 --> 00:01:54,440 Speaker 1: made by the Inspector General under Governor Tim Walls. We'll 32 00:01:54,480 --> 00:01:58,720 Speaker 1: get Ryan's thoughts on Walls, lying about Universal pre k 33 00:01:58,920 --> 00:02:04,960 Speaker 1: and much more with him in studio this hour, to 34 00:02:05,080 --> 00:02:07,760 Speaker 1: Vidgard to the Stein Ross talking. AI will join us 35 00:02:07,800 --> 00:02:10,240 Speaker 1: coming up just after six thirty. You can get your 36 00:02:10,280 --> 00:02:13,079 Speaker 1: talkbacks in early if you have any AI related questions. 37 00:02:13,360 --> 00:02:15,840 Speaker 1: We'll get into the number one country song in the 38 00:02:15,840 --> 00:02:22,799 Speaker 1: country being AI produced country song in the country. Hey, 39 00:02:22,840 --> 00:02:25,160 Speaker 1: I followed you, John, Yeah, Like it sounds redundant, but 40 00:02:25,240 --> 00:02:25,560 Speaker 1: it's not. 41 00:02:25,760 --> 00:02:29,120 Speaker 2: Nope, Yeah, you're good morning by the on one country 42 00:02:29,160 --> 00:02:29,840 Speaker 2: song in the country. 43 00:02:29,880 --> 00:02:32,760 Speaker 1: Good morning, So we'll talk to him about that. And 44 00:02:32,760 --> 00:02:37,160 Speaker 1: also there was a cyber attack done by Chinese state actors. 45 00:02:37,160 --> 00:02:40,320 Speaker 1: We will dive into along with your questions. Let's go 46 00:02:40,360 --> 00:02:44,240 Speaker 1: here though, speaking of Trump, So, President Donald Trump did 47 00:02:44,320 --> 00:02:50,560 Speaker 1: revise the scope of his global tariffs on Friday, scrapping 48 00:02:50,639 --> 00:02:54,280 Speaker 1: levies on grocery store staples in an effort to address 49 00:02:54,320 --> 00:02:59,160 Speaker 1: the mounting concerns about the stubbornly high food prices. It 50 00:02:59,240 --> 00:03:03,040 Speaker 1: was interesting that the Democrats didn't make hay of this. 51 00:03:03,200 --> 00:03:05,880 Speaker 1: I think it's partly due to the fact that the 52 00:03:05,960 --> 00:03:10,600 Speaker 1: tariffs by and large have been much more successful than 53 00:03:10,639 --> 00:03:15,760 Speaker 1: the complaints and criticism surrounding the tariffs. This was, however, 54 00:03:15,800 --> 00:03:20,120 Speaker 1: a golden opportunity for Democrats to do the Trump always 55 00:03:20,120 --> 00:03:23,560 Speaker 1: caves on everything stands, and they completely avoided it. I 56 00:03:23,680 --> 00:03:28,840 Speaker 1: suppose it could be because they had already dispensed with 57 00:03:28,919 --> 00:03:32,239 Speaker 1: all their criticism regarding the smear campaign and the Epstein files, 58 00:03:32,280 --> 00:03:34,480 Speaker 1: which we also have an update that we'll get you 59 00:03:34,600 --> 00:03:35,360 Speaker 1: later on this hour. 60 00:03:35,440 --> 00:03:36,200 Speaker 2: Be that does it make. 61 00:03:36,480 --> 00:03:41,840 Speaker 1: The November fourteenth Executive Order set updated recommendations and progress 62 00:03:41,840 --> 00:03:45,600 Speaker 1: on trade talks made it necessary to appropriate and further 63 00:03:45,720 --> 00:03:51,000 Speaker 1: modify the scope of goods subjected to the duties. It 64 00:03:51,040 --> 00:03:56,400 Speaker 1: also noted certain agricultural products shall not be subjected to 65 00:03:56,560 --> 00:04:01,880 Speaker 1: the tariffs exposed under the particular Executive order. The shift 66 00:04:01,960 --> 00:04:05,640 Speaker 1: modifies the reciprocal tariffs Trump first imposed as part of 67 00:04:05,720 --> 00:04:10,400 Speaker 1: the April Liberation Day National Emergency Declaration tied to trade deficits, 68 00:04:10,400 --> 00:04:12,080 Speaker 1: and Trump said that he was going to do this 69 00:04:12,800 --> 00:04:14,440 Speaker 1: all along. I mean, this is not a shock to 70 00:04:14,480 --> 00:04:18,640 Speaker 1: anybody that if the tariffs needed adjusting, he would adjust, 71 00:04:18,680 --> 00:04:23,560 Speaker 1: and they currently do because unfortunately, grocery prices still are 72 00:04:23,800 --> 00:04:28,240 Speaker 1: ridiculously high. So something that will go and keep an 73 00:04:28,240 --> 00:04:31,000 Speaker 1: eye on. And again, just surprised the Democrats didn't go 74 00:04:31,080 --> 00:04:33,240 Speaker 1: and take advantage of that, but I feel like they 75 00:04:34,480 --> 00:04:37,320 Speaker 1: had dispense with all their criticism at which we have 76 00:04:37,400 --> 00:04:40,920 Speaker 1: further details. The House Republicans put out a memo yesterday 77 00:04:41,040 --> 00:04:45,080 Speaker 1: talking about the Democrats twisting the Epstein probe to smear Trump. 78 00:04:45,680 --> 00:04:49,120 Speaker 1: It's all the information that we had last week regarding 79 00:04:49,240 --> 00:04:51,440 Speaker 1: the breaking news over these leaked to emails. Doing that 80 00:04:51,480 --> 00:04:55,560 Speaker 1: thing with my fingers is just further clarification coming up, 81 00:04:55,560 --> 00:04:57,880 Speaker 1: though we'll keep with the theme of the economy. I 82 00:04:57,880 --> 00:04:59,800 Speaker 1: didn't get a chance to talk about this yesterday, so 83 00:04:59,839 --> 00:05:04,679 Speaker 1: we'll cover it briefly. As now all SNAP recipients must 84 00:05:04,760 --> 00:05:09,520 Speaker 1: reapply for benefits. And again I haven't seen the criticism 85 00:05:09,520 --> 00:05:13,160 Speaker 1: attached to this, yet I imagine that we will once 86 00:05:13,240 --> 00:05:17,560 Speaker 1: individuals begin to have to reapply, which I'm totally fine with. 87 00:05:19,279 --> 00:05:23,880 Speaker 1: I have audio to share a job dropping announcement from 88 00:05:23,920 --> 00:05:28,760 Speaker 1: the Agriculture Secretary Brook Rawlins demanding a complete overhaul of 89 00:05:28,800 --> 00:05:32,520 Speaker 1: the SNAP program, and why I'll share with you that 90 00:05:32,640 --> 00:05:34,680 Speaker 1: audio coming up in just a moment ahead of my 91 00:05:34,720 --> 00:05:37,320 Speaker 1: conversation with Devin Garton Stein Ross And of course we'll 92 00:05:37,360 --> 00:05:39,360 Speaker 1: hear from you in the iHeartRadio app this morning. 93 00:05:39,600 --> 00:05:40,440 Speaker 2: Leave us a talkback. 94 00:05:40,440 --> 00:05:42,880 Speaker 1: Those are brought to you by Lyndahl Realty, and we'll 95 00:05:42,880 --> 00:05:45,120 Speaker 1: get to those next here on Twin City's News Talk 96 00:05:45,160 --> 00:05:47,159 Speaker 1: Am eleven thirty and one oh three five FM. 97 00:05:47,200 --> 00:05:51,400 Speaker 2: Good morning, and I love your show, Gore Wout. 98 00:05:55,400 --> 00:05:58,919 Speaker 4: The problem is you have an extremely corrupt program. But 99 00:05:59,160 --> 00:06:02,360 Speaker 4: up until this is administration and with President Trump's direct 100 00:06:02,400 --> 00:06:05,280 Speaker 4: focus on this and making sure every taxpayer dollar is 101 00:06:05,320 --> 00:06:09,600 Speaker 4: spent appropriately, we've never really had the opportunity to dig in. 102 00:06:09,920 --> 00:06:12,320 Speaker 4: So we're going to be talking a lot more about 103 00:06:12,360 --> 00:06:14,320 Speaker 4: snap er form. We've got a lot of people listening now, 104 00:06:14,360 --> 00:06:17,080 Speaker 4: which is very, very helpful, and to take that program 105 00:06:17,120 --> 00:06:19,920 Speaker 4: back to its original intent of helping those who are 106 00:06:19,960 --> 00:06:23,160 Speaker 4: truly needy in our communities, but not to have a 107 00:06:23,360 --> 00:06:26,479 Speaker 4: massive welfare benefit where so many people are taking advantage 108 00:06:26,480 --> 00:06:27,320 Speaker 4: of it that shouldn't be. 109 00:06:27,560 --> 00:06:31,840 Speaker 1: We're seeing a lot of examples right now of how 110 00:06:32,000 --> 00:06:34,400 Speaker 1: slow government works, regardless of. 111 00:06:35,960 --> 00:06:36,600 Speaker 5: Who is. 112 00:06:38,520 --> 00:06:43,080 Speaker 1: In the White House, a lot of exposure of a 113 00:06:43,120 --> 00:06:45,600 Speaker 1: lot of different issues. And I know we're heading into 114 00:06:45,640 --> 00:06:48,640 Speaker 1: the end of the year and essentially the end of 115 00:06:49,480 --> 00:06:54,200 Speaker 1: the first year of Trump's second term, but again, a 116 00:06:54,240 --> 00:06:57,840 Speaker 1: lot of these issues just simply take time to work through. 117 00:06:58,520 --> 00:07:01,640 Speaker 1: They don't happen overnight, just like we didn't get here overnight. 118 00:07:01,680 --> 00:07:04,600 Speaker 1: A lot of what we're dealing with regarding the economy 119 00:07:05,880 --> 00:07:09,880 Speaker 1: is still the hangover from the Biden administration and having 120 00:07:09,960 --> 00:07:13,840 Speaker 1: to adjust to make sure that we are doing the 121 00:07:13,960 --> 00:07:17,520 Speaker 1: right things and one holding people accountable, but two making 122 00:07:17,520 --> 00:07:20,400 Speaker 1: sure that the United States isn't being taken advantage, of 123 00:07:21,120 --> 00:07:23,600 Speaker 1: holding people accountable in the way that Ice has been doing, 124 00:07:23,760 --> 00:07:26,600 Speaker 1: or individuals that might be abusing SNAP. We'll talk about 125 00:07:26,600 --> 00:07:30,320 Speaker 1: this later on in the show, but yesterday we discussed 126 00:07:30,360 --> 00:07:33,920 Speaker 1: how ICE had moved into North Carolina. So after the 127 00:07:33,960 --> 00:07:40,080 Speaker 1: border patrol agents surge into Charlotte, fifteen percent of the 128 00:07:40,240 --> 00:07:45,600 Speaker 1: entire county school population missed school the next day, some 129 00:07:46,080 --> 00:07:49,600 Speaker 1: twenty one thousand students win absent. We'll get into the 130 00:07:49,680 --> 00:07:54,080 Speaker 1: ramifications of what this means, but you can extrapolate with 131 00:07:54,160 --> 00:07:56,600 Speaker 1: ice moving in dealing with those that are here in 132 00:07:56,640 --> 00:07:59,720 Speaker 1: the country illegally, which yes, is what I voted for, 133 00:08:00,480 --> 00:08:04,120 Speaker 1: and then subsequently you see students missing at school. You 134 00:08:04,320 --> 00:08:10,160 Speaker 1: can do the math. So we'll cover that coming up 135 00:08:10,200 --> 00:08:13,200 Speaker 1: just after eight o'clock this morning. Regarding SNAP, the Trump 136 00:08:13,240 --> 00:08:16,280 Speaker 1: administration says that will require millions of low income people 137 00:08:16,520 --> 00:08:18,720 Speaker 1: to reapply for food stamps as part of an effort 138 00:08:18,720 --> 00:08:20,800 Speaker 1: to crack down on fraud. What you heard a moment 139 00:08:20,800 --> 00:08:25,320 Speaker 1: ago was the Agriculture Secretary Brook Rawlins demanding a complete 140 00:08:25,360 --> 00:08:28,880 Speaker 1: overhaul of the SNAP program much in the same way 141 00:08:28,920 --> 00:08:31,120 Speaker 1: that we need to complete overhaul of DHS here in 142 00:08:31,160 --> 00:08:33,679 Speaker 1: the state. Although it's not going to happen under Governor 143 00:08:33,679 --> 00:08:37,640 Speaker 1: Tim Walls. Why he pretends to be concerned about the fraud. 144 00:08:38,520 --> 00:08:42,720 Speaker 1: A reporter for Politico talking with Fox News that the 145 00:08:42,800 --> 00:08:45,160 Speaker 1: move is part of a larger effort by Republicans to 146 00:08:45,200 --> 00:08:49,600 Speaker 1: crack down on fraud. Right SNAP beneficiaries are already required 147 00:08:49,640 --> 00:08:54,160 Speaker 1: to recertify their application information every six to twelve months, 148 00:08:54,240 --> 00:08:58,160 Speaker 1: updating work history and income to make sure they still qualify. 149 00:08:59,320 --> 00:09:01,960 Speaker 1: Now hasn't said how or when people would need to 150 00:09:02,080 --> 00:09:06,319 Speaker 1: fully reapply because it's a difference there. The US Department 151 00:09:06,320 --> 00:09:09,080 Speaker 1: of Agriculture hasn't responded to requests for comments. 152 00:09:09,320 --> 00:09:10,320 Speaker 2: Rollin said this. 153 00:09:10,880 --> 00:09:14,440 Speaker 1: Past week that some one hundred and eighty six thousand 154 00:09:14,520 --> 00:09:18,640 Speaker 1: deceased men and women and children were receiving a check. 155 00:09:19,760 --> 00:09:23,400 Speaker 1: She cited data from twenty nine states that complied with 156 00:09:23,800 --> 00:09:26,360 Speaker 1: the USDA request for information. 157 00:09:26,400 --> 00:09:28,120 Speaker 2: As you mentioned, Minnesota is one of the states that 158 00:09:28,160 --> 00:09:28,720 Speaker 2: didn't comply. 159 00:09:30,800 --> 00:09:34,880 Speaker 1: About one in eight Americans in lower income households receive foodstamps, 160 00:09:35,559 --> 00:09:37,840 Speaker 1: with an average about one hundred and ninety bucks per month. 161 00:09:37,880 --> 00:09:38,839 Speaker 2: So what this would do is. 162 00:09:38,800 --> 00:09:42,040 Speaker 1: Hopefully it would end up cleaning up those individuals that 163 00:09:42,080 --> 00:09:47,200 Speaker 1: are currently gaming the system by making people reapply. Because 164 00:09:47,240 --> 00:09:50,160 Speaker 1: a lot of people have applied, they're committing fraud. They're 165 00:09:50,200 --> 00:09:54,880 Speaker 1: still filling out the required recertification on their application, but 166 00:09:54,920 --> 00:09:57,880 Speaker 1: they should not be receiving the SNAP benefits in the 167 00:09:57,920 --> 00:09:58,480 Speaker 1: first place. 168 00:09:59,280 --> 00:10:03,400 Speaker 6: Morning, John Say, regarding SNAP benefits, you can already see 169 00:10:03,400 --> 00:10:07,600 Speaker 6: the Dems talking points coming when millions of fraudulent SNAP 170 00:10:07,640 --> 00:10:11,320 Speaker 6: recipients get removed because they had to reapply. You're gonna 171 00:10:11,320 --> 00:10:14,440 Speaker 6: see the dem saying that the Republicans took away snap 172 00:10:14,480 --> 00:10:16,960 Speaker 6: benefits from recipients. 173 00:10:17,280 --> 00:10:21,920 Speaker 1: Yeah, it's pretty easy to predict what the criticism will be. 174 00:10:22,240 --> 00:10:24,520 Speaker 1: As I mentioned, I'm surprised it hasn't happened yet, but 175 00:10:25,040 --> 00:10:27,520 Speaker 1: Democrats are savvy. They're waiting for the opportune moment to 176 00:10:27,559 --> 00:10:28,600 Speaker 1: be getting their freak out. 177 00:10:29,559 --> 00:10:31,720 Speaker 7: One in John, Yeah, as far as snap benefits go, 178 00:10:32,080 --> 00:10:34,840 Speaker 7: they should have to reapply every so often for those 179 00:10:35,040 --> 00:10:38,160 Speaker 7: benefits because they're doing nothing else to get them, so 180 00:10:38,200 --> 00:10:38,480 Speaker 7: you might. 181 00:10:38,440 --> 00:10:40,000 Speaker 5: As well do a little bit of paperwork. 182 00:10:40,520 --> 00:10:43,360 Speaker 7: As far as property taxes go, gosh, they're going up 183 00:10:43,400 --> 00:10:45,240 Speaker 7: twelve fourteen to fifteen percent. 184 00:10:45,800 --> 00:10:48,200 Speaker 2: Where does the government think that money's gonna come from. 185 00:10:49,000 --> 00:10:51,199 Speaker 7: I'm not getting a raise twelve yeah fo. 186 00:10:52,880 --> 00:10:53,080 Speaker 2: Yeah. 187 00:10:53,120 --> 00:10:55,400 Speaker 1: And we're going to dive fully into the property tax 188 00:10:55,440 --> 00:10:58,880 Speaker 1: story because every single news outlet this morning is talking 189 00:10:58,920 --> 00:11:01,720 Speaker 1: about it and there's no clear there's no clear answer 190 00:11:01,880 --> 00:11:03,800 Speaker 1: to the problem. Even though you can kind of go 191 00:11:03,840 --> 00:11:05,880 Speaker 1: in protest, for lack of a better way to describe it, 192 00:11:06,640 --> 00:11:09,880 Speaker 1: your property value. To argue the property tax increase, you're 193 00:11:09,920 --> 00:11:12,320 Speaker 1: going to have to incur. But there's a number of 194 00:11:12,320 --> 00:11:17,000 Speaker 1: different reasons why the property taxes are increasing. Some of 195 00:11:17,040 --> 00:11:21,600 Speaker 1: it is tied to the school levies. These counties are 196 00:11:21,600 --> 00:11:25,800 Speaker 1: having to bring in money, and it's also in large 197 00:11:25,840 --> 00:11:28,600 Speaker 1: part because of the policies under the Walls administration. And 198 00:11:29,200 --> 00:11:31,280 Speaker 1: Ryan Wilson will join us in the studio and we'll 199 00:11:31,280 --> 00:11:35,319 Speaker 1: break it all down with him when he talks about 200 00:11:35,320 --> 00:11:40,360 Speaker 1: his running with Lisa Damoth for Lieutenant governor. A ten 201 00:11:40,400 --> 00:11:44,439 Speaker 1: page internal memo shifting over to just a quick update 202 00:11:44,480 --> 00:11:48,000 Speaker 1: on Epstein written by GOP Committee staff. Lawmakers on a 203 00:11:48,000 --> 00:11:53,080 Speaker 1: panel argued Democrats intentionally misrepresented information obtained by Republicans to 204 00:11:53,120 --> 00:11:56,080 Speaker 1: create a narrative that was not there. This is just 205 00:11:56,160 --> 00:11:59,040 Speaker 1: further confirmation of what we had all mentioned last week 206 00:11:59,200 --> 00:12:05,880 Speaker 1: when these leaked emails had dropped. Democrats have uncovered nothing new, 207 00:12:06,000 --> 00:12:10,520 Speaker 1: have released no document not provided at the request of Republicans, 208 00:12:10,520 --> 00:12:14,160 Speaker 1: and have only succeeded in reinforcing what the American people 209 00:12:14,240 --> 00:12:18,160 Speaker 1: already knew. Trump knew Epstein decades ago. Trump ended the 210 00:12:18,240 --> 00:12:21,600 Speaker 1: relationship with Epstein, and Donald Trump did not participate or 211 00:12:21,720 --> 00:12:26,360 Speaker 1: know about the nature of Epstein's evil Committee. 212 00:12:26,360 --> 00:12:28,440 Speaker 2: Democrats have overpromised. 213 00:12:27,800 --> 00:12:33,120 Speaker 1: And underdelivered, and now they pawn through every new document 214 00:12:33,240 --> 00:12:40,000 Speaker 1: production looking for a single term Trump. We really are 215 00:12:40,080 --> 00:12:45,240 Speaker 1: at a point where unless this is unless there are 216 00:12:45,320 --> 00:12:50,800 Speaker 1: recent allegations meaning Trump like did something bad now like 217 00:12:50,840 --> 00:12:54,400 Speaker 1: over the course of the past couple of months, any 218 00:12:54,440 --> 00:13:00,640 Speaker 1: past allegations that pop up on are more than likely bogus, 219 00:13:01,400 --> 00:13:06,400 Speaker 1: as Trump is arguably the most vetted politician in existence, 220 00:13:07,559 --> 00:13:14,440 Speaker 1: and certainly relating to the Epstein situation, there was breaking 221 00:13:14,520 --> 00:13:20,080 Speaker 1: news overnight. Miranda Crooks has done has put out an 222 00:13:20,160 --> 00:13:26,280 Speaker 1: editorial a columnist, She's done some investigative reporting regarding Thomas Crooks, 223 00:13:26,280 --> 00:13:31,280 Speaker 1: the Butler Pa Assassin, and what we've come to find 224 00:13:31,320 --> 00:13:37,720 Speaker 1: out is, unsurprisingly, the FBI under the Biden administration hid 225 00:13:38,000 --> 00:13:44,760 Speaker 1: the online relevant information relating to Thomas Crooks, including the 226 00:13:44,800 --> 00:13:46,760 Speaker 1: fact that going back a couple of years, he was 227 00:13:46,800 --> 00:13:48,280 Speaker 1: actually pro Trump. 228 00:13:48,400 --> 00:13:50,720 Speaker 2: And then made a turn to anti Trump. 229 00:13:50,800 --> 00:13:53,640 Speaker 1: And there are posts online that show he had been 230 00:13:53,679 --> 00:13:56,840 Speaker 1: commenting online things that were positive towards Trump, and then 231 00:13:56,880 --> 00:14:00,160 Speaker 1: eventually he ended up shifting and then went all in 232 00:14:00,280 --> 00:14:04,319 Speaker 1: on anti Trump and Trump derangement syndrome. Ahead of his 233 00:14:04,400 --> 00:14:08,360 Speaker 1: attempt to assassinate Trump and Butler Pennsylvania, he also had 234 00:14:08,360 --> 00:14:14,080 Speaker 1: a devianto art account, which is popular among certain demographics 235 00:14:15,679 --> 00:14:19,640 Speaker 1: using they them pronouns. And again, it's just further examples 236 00:14:19,680 --> 00:14:22,960 Speaker 1: of the liberal suppression of the facts to continue to 237 00:14:22,960 --> 00:14:26,560 Speaker 1: perpetuate a narrative. Because a lot of people have been asking, 238 00:14:26,600 --> 00:14:28,560 Speaker 1: and rightfully, so, how is it we know so little 239 00:14:28,560 --> 00:14:31,480 Speaker 1: about Thomas Crooks. Well, it's because, in part the FBI 240 00:14:32,520 --> 00:14:34,960 Speaker 1: didn't put that information out there, didn't seem to have 241 00:14:35,000 --> 00:14:37,640 Speaker 1: an interest to give the background of what turned about 242 00:14:37,680 --> 00:14:41,280 Speaker 1: to be an individual apparently suffering from Trump derangement syndrome. 243 00:14:41,280 --> 00:14:44,280 Speaker 2: They have what's called a Trump derangement problem. Have you 244 00:14:44,320 --> 00:14:45,520 Speaker 2: heard about that problem? 245 00:14:48,400 --> 00:14:52,760 Speaker 1: This memo regarding Epstein also accused Democrats of having selectively 246 00:14:53,320 --> 00:14:56,920 Speaker 1: leaked the three emails out of roughly twenty three thousand 247 00:14:56,960 --> 00:14:59,800 Speaker 1: documents handed over by the Epstein estate in a bid 248 00:14:59,840 --> 00:15:04,760 Speaker 1: to portray Trump in a negative light. And as we 249 00:15:04,800 --> 00:15:07,200 Speaker 1: talked about yesterday on the show, Trump encouraged Republicans to 250 00:15:07,280 --> 00:15:11,080 Speaker 1: vote in favor of releasing the documents, and it looks 251 00:15:11,360 --> 00:15:13,680 Speaker 1: like we may have a vote that'll take place a 252 00:15:13,680 --> 00:15:15,560 Speaker 1: little bit later on this week. 253 00:15:15,600 --> 00:15:16,960 Speaker 2: We'll see how that shakes out. 254 00:15:17,200 --> 00:15:19,400 Speaker 1: Speaking of which Representative Tom Member will be on the 255 00:15:19,440 --> 00:15:22,600 Speaker 1: show tomorrow at seven twenty and it's just one of 256 00:15:22,600 --> 00:15:24,920 Speaker 1: the items that we'll be talking about with Tom when 257 00:15:24,920 --> 00:15:28,200 Speaker 1: he joins us on the on the show. Next up, 258 00:15:28,800 --> 00:15:32,840 Speaker 1: AI country song ralics to the top of the US 259 00:15:32,880 --> 00:15:37,280 Speaker 1: sales chart while parents threaten a lawsuit against the Stillwater 260 00:15:37,360 --> 00:15:42,000 Speaker 1: School District failing to protect kids against AI predators. We'll 261 00:15:42,040 --> 00:15:46,120 Speaker 1: talk with our AI analyst and expert, Divine Gartenstein Ross 262 00:15:46,120 --> 00:15:48,880 Speaker 1: next here on Twinsday's news talk Am eleven thirty and 263 00:15:48,880 --> 00:15:52,280 Speaker 1: one oh three five FM. So I get email Justice 264 00:15:52,280 --> 00:15:56,040 Speaker 1: at iHeartRadio dot com. Friend of the show, Michael left 265 00:15:56,080 --> 00:16:00,680 Speaker 1: me a email talking property taxes. A lot of comments 266 00:16:00,760 --> 00:16:04,520 Speaker 1: rolling into the iHeartRadio app talkbacks brought to you by 267 00:16:04,600 --> 00:16:07,480 Speaker 1: Lyndall Realty regarding the property tax increases. We will be 268 00:16:07,520 --> 00:16:09,880 Speaker 1: diving into this next hour, so I'll hang on to 269 00:16:09,960 --> 00:16:10,920 Speaker 1: those talkbacks. 270 00:16:11,080 --> 00:16:13,040 Speaker 2: I also got this one from April. 271 00:16:14,680 --> 00:16:16,400 Speaker 1: I'll have to clean it up. I know it's really 272 00:16:16,440 --> 00:16:17,720 Speaker 1: in the morning, about to clean it up fro on 273 00:16:17,800 --> 00:16:24,400 Speaker 1: the air. It just simply says, uh. 274 00:16:22,960 --> 00:16:26,640 Speaker 2: Johnny why is it? Oh, Johnny Boy? I got Johnny 275 00:16:26,680 --> 00:16:29,640 Speaker 2: Boy already off to a good start. Johnny Boys. Yeah, 276 00:16:29,680 --> 00:16:30,640 Speaker 2: I don't know what it is. 277 00:16:31,080 --> 00:16:33,600 Speaker 1: When people like to take our run at me, they 278 00:16:34,440 --> 00:16:35,520 Speaker 1: often use Johnny. 279 00:16:35,800 --> 00:16:38,280 Speaker 2: Like my mom called me Johnny. I find it endearing, 280 00:16:38,360 --> 00:16:39,440 Speaker 2: doesn't bother me at all. 281 00:16:39,400 --> 00:16:44,160 Speaker 1: Anyway, Johnny boy is the headline says you are TDS 282 00:16:44,560 --> 00:16:50,200 Speaker 1: or Trump blank suckers. Can't say that, can't say that word. 283 00:16:50,400 --> 00:16:54,160 Speaker 1: When are you going to wake up? I'm perfectly awake 284 00:16:54,280 --> 00:16:56,120 Speaker 1: right now. I got a great night sleep because of 285 00:16:56,200 --> 00:16:59,040 Speaker 1: the night coom. He's from Minni Leaf. Give me a 286 00:16:59,080 --> 00:17:00,360 Speaker 1: great night sleep last night? 287 00:17:00,400 --> 00:17:00,840 Speaker 2: I don't know. 288 00:17:01,840 --> 00:17:06,000 Speaker 1: And it's quite the juxtaposition between the between the two there. Yeah, anyway, 289 00:17:06,440 --> 00:17:09,119 Speaker 1: feel free to email me colorful like that or not? 290 00:17:09,640 --> 00:17:13,720 Speaker 1: Justice at iHeartRadio dot com joining me, CEO of Expert Theory, 291 00:17:13,840 --> 00:17:17,960 Speaker 1: Friend of the Show, AI analyst de v de gartan 292 00:17:18,040 --> 00:17:19,720 Speaker 1: Stein Ross, Good morning to Vid. 293 00:17:20,240 --> 00:17:22,800 Speaker 8: Good morning John And I never gave you permission to 294 00:17:22,840 --> 00:17:24,080 Speaker 8: read my email on air? 295 00:17:25,960 --> 00:17:27,080 Speaker 2: Was it AI generated? 296 00:17:28,880 --> 00:17:31,119 Speaker 5: I think AI writes better than that email. 297 00:17:31,280 --> 00:17:35,840 Speaker 1: You're You're probably correct. Let's let's go here. I didn't 298 00:17:36,240 --> 00:17:40,040 Speaker 1: I had this story to cover prior to bringing you 299 00:17:40,160 --> 00:17:43,639 Speaker 1: on this morning, but I actually broke on time, so 300 00:17:43,880 --> 00:17:48,200 Speaker 1: I'll share it with you. So Instagram has its new 301 00:17:48,480 --> 00:17:53,359 Speaker 1: meta Instagram metas promoting its new Artificial intelligence Free AI 302 00:17:53,560 --> 00:17:59,440 Speaker 1: Creator tools on Instagram on Instagram with it. As part 303 00:17:59,480 --> 00:18:03,480 Speaker 1: of the promote is a piece of content AI generated 304 00:18:03,560 --> 00:18:07,920 Speaker 1: that shows a video of President Donald Trump kneeling before 305 00:18:07,920 --> 00:18:12,639 Speaker 1: it demon The screenshot of the AI generated video, showcased 306 00:18:12,640 --> 00:18:16,280 Speaker 1: in an advertisement for the tool, showed what looked like 307 00:18:16,359 --> 00:18:19,399 Speaker 1: Donald Trump shaking hands with a Satan like figure before 308 00:18:19,480 --> 00:18:20,399 Speaker 1: kneeling before it. 309 00:18:20,920 --> 00:18:22,600 Speaker 2: The promotion read Meta. 310 00:18:22,359 --> 00:18:26,560 Speaker 1: AI try free AI Creation tools and get featured on 311 00:18:26,600 --> 00:18:30,639 Speaker 1: the get app button. Apparently the video in question was 312 00:18:30,760 --> 00:18:34,359 Speaker 1: user generated content. According to a Meta spokesperson, it's been 313 00:18:34,440 --> 00:18:39,320 Speaker 1: removed from the recommendation as it violated the protocols for promotions. 314 00:18:39,359 --> 00:18:42,239 Speaker 2: I just thought it was funny to be Yeah, if 315 00:18:42,280 --> 00:18:42,600 Speaker 2: you go. 316 00:18:42,640 --> 00:18:51,040 Speaker 8: To for example, Sola, which is the shat gpt slash 317 00:18:51,119 --> 00:18:55,439 Speaker 8: open AI video generation, you can see a lot of 318 00:18:55,560 --> 00:19:01,000 Speaker 8: user created material. And this theme is actually really, you know, 319 00:19:01,119 --> 00:19:04,760 Speaker 8: quite prevalent. Not let's be clear, not just like Trump 320 00:19:04,800 --> 00:19:09,439 Speaker 8: and Satan, but the opposite, Right Trump next to Jesus 321 00:19:09,600 --> 00:19:12,000 Speaker 8: or next to God, Charlie Kirk, the same thing. Right 322 00:19:12,040 --> 00:19:14,840 Speaker 8: after he got killed, you had all this AI generated 323 00:19:15,200 --> 00:19:17,400 Speaker 8: art that either showed him in Heaven or showed him 324 00:19:17,400 --> 00:19:17,680 Speaker 8: in Hell. 325 00:19:18,640 --> 00:19:20,760 Speaker 5: It's interesting, you know. 326 00:19:20,800 --> 00:19:23,399 Speaker 8: Obviously the fact that it showed up in a promotion 327 00:19:23,520 --> 00:19:27,399 Speaker 8: tells you many many things. But this seems to be 328 00:19:27,400 --> 00:19:31,199 Speaker 8: a genre of art that people really like putting together 329 00:19:31,680 --> 00:19:34,000 Speaker 8: without realizing that it's already hackneyed. 330 00:19:34,320 --> 00:19:37,280 Speaker 1: I know, Divine, we have talked about this several times, 331 00:19:37,320 --> 00:19:40,800 Speaker 1: but I'm gonna I'm gonna bring it up again, and 332 00:19:40,840 --> 00:19:42,879 Speaker 1: I don't really have a through line here to what 333 00:19:42,920 --> 00:19:44,840 Speaker 1: we're going to speak of here, apart from it just 334 00:19:44,880 --> 00:19:46,560 Speaker 1: being AI generated. 335 00:19:46,040 --> 00:19:49,439 Speaker 2: But the amount of comedy. 336 00:19:49,680 --> 00:19:55,560 Speaker 1: Entertainment in the creation of different AI content I find 337 00:19:55,920 --> 00:19:58,800 Speaker 1: so incredibly entertaining. As a matter of fact, I had 338 00:19:58,840 --> 00:20:01,359 Speaker 1: meant to send it to you before you joined the show, 339 00:20:01,400 --> 00:20:03,879 Speaker 1: and the next break I'll forward it on. But I 340 00:20:03,960 --> 00:20:06,639 Speaker 1: have this compilation video that Defeat I must have watched 341 00:20:06,680 --> 00:20:08,000 Speaker 1: at least twelve times. 342 00:20:07,960 --> 00:20:08,960 Speaker 2: And all that it is. 343 00:20:09,320 --> 00:20:12,719 Speaker 1: It is a compilation of AI created videos of cats 344 00:20:12,800 --> 00:20:17,360 Speaker 1: playing various instruments on doorsteps at midnight with the owners 345 00:20:17,400 --> 00:20:20,159 Speaker 1: coming out and telling them to knock it off. It 346 00:20:20,240 --> 00:20:23,200 Speaker 1: is one of the funniest things that I have seen 347 00:20:23,440 --> 00:20:26,280 Speaker 1: in such a long period of time, and so regardless 348 00:20:26,320 --> 00:20:29,399 Speaker 1: of the concerns over AI. I am incredibly pleased at 349 00:20:29,400 --> 00:20:32,840 Speaker 1: the amount of entertainment and funny content that we get 350 00:20:32,960 --> 00:20:36,000 Speaker 1: from these different AI creation models. 351 00:20:36,960 --> 00:20:39,439 Speaker 8: So what I like at this is this is quite 352 00:20:39,520 --> 00:20:43,040 Speaker 8: literally the discussion at the outset of the advent of 353 00:20:43,520 --> 00:20:44,800 Speaker 8: the Internet and social media. 354 00:20:44,880 --> 00:20:48,000 Speaker 5: Right, A lot of problems, but cat videos. 355 00:20:48,560 --> 00:20:52,119 Speaker 1: You're right, there's more here. We'll have to work on it. 356 00:20:52,160 --> 00:20:54,040 Speaker 1: We'll have to workshop this. I think there's a further 357 00:20:54,119 --> 00:20:55,160 Speaker 1: discussion to be had. 358 00:20:55,600 --> 00:20:57,480 Speaker 5: Let's go, you can a stand up comedy routine. 359 00:20:58,160 --> 00:20:59,239 Speaker 2: Let's go, let's go here. 360 00:20:59,320 --> 00:21:03,679 Speaker 1: Speaking of AI creation, a country music song featuring a 361 00:21:03,760 --> 00:21:08,040 Speaker 1: male singer's voice generated by artificial intelligence reached the top 362 00:21:08,080 --> 00:21:11,280 Speaker 1: of the US charts for the first time last week. Now, 363 00:21:11,320 --> 00:21:15,359 Speaker 1: the artist with no identity widely reported by US media 364 00:21:15,480 --> 00:21:19,879 Speaker 1: to be powered by generative AI technology, at least as 365 00:21:19,880 --> 00:21:23,040 Speaker 1: far as I've seen anything definitive coming from the creators 366 00:21:23,200 --> 00:21:27,240 Speaker 1: of the song to say this is this is AI breaking. 367 00:21:27,320 --> 00:21:29,680 Speaker 1: Rust does not claim to have used AI to create 368 00:21:29,720 --> 00:21:32,439 Speaker 1: their hit song, although it seems pretty obvious, but the 369 00:21:32,440 --> 00:21:34,399 Speaker 1: fact that the voice in the track is not associated 370 00:21:34,440 --> 00:21:38,000 Speaker 1: with any singer's name, and that the group's illustrations, photos 371 00:21:38,040 --> 00:21:41,800 Speaker 1: and clips are clearly created by artificial intelligence, has led 372 00:21:41,800 --> 00:21:45,040 Speaker 1: the music industry to label Breaking Rust as an AI artist. 373 00:21:45,160 --> 00:21:47,800 Speaker 2: So before we continue further, what are just your initial 374 00:21:47,840 --> 00:21:48,320 Speaker 2: thoughts on this. 375 00:21:49,480 --> 00:21:52,959 Speaker 8: There's one other clue too, which is the songwriter on 376 00:21:53,040 --> 00:21:58,639 Speaker 8: this song. The songwriter's credit is Aubier Rivaldo Taylor and 377 00:21:58,720 --> 00:22:03,879 Speaker 8: that name has come up one other time online, which 378 00:22:03,920 --> 00:22:07,480 Speaker 8: is an association of the group called Deafbeats AI, which 379 00:22:07,480 --> 00:22:10,879 Speaker 8: is which is identified as an AI project. So this 380 00:22:10,960 --> 00:22:14,679 Speaker 8: is clearly an AI generated song. Even like listening to 381 00:22:15,720 --> 00:22:19,240 Speaker 8: that snippet, there's a lot of different AI tells, right, 382 00:22:19,480 --> 00:22:22,160 Speaker 8: I would say that, you know, I think it's clear 383 00:22:22,200 --> 00:22:26,720 Speaker 8: not only that AI is performing, but that while there 384 00:22:26,800 --> 00:22:29,399 Speaker 8: was some human guidance into the style of the song 385 00:22:30,320 --> 00:22:33,960 Speaker 8: and the lyrical scheme, the songwriter was AI. 386 00:22:35,119 --> 00:22:36,840 Speaker 5: AI writes in a certain way. 387 00:22:37,480 --> 00:22:40,760 Speaker 8: Uh, there's kind of a few llmisms that are embedded 388 00:22:40,760 --> 00:22:42,320 Speaker 8: in the lyrics that we just listened to. 389 00:22:43,400 --> 00:22:44,119 Speaker 5: What this points to. 390 00:22:44,320 --> 00:22:49,760 Speaker 8: But that being said, John, this is catchy, right, yeah, yeah, 391 00:22:49,840 --> 00:22:53,760 Speaker 8: I mean we've talked about this. AI produces catchy music, 392 00:22:54,520 --> 00:22:59,840 Speaker 8: and you know, increasingly artists use AI in lots of 393 00:23:00,000 --> 00:23:03,400 Speaker 8: different ways. To me, it's really interesting. It throws down 394 00:23:03,440 --> 00:23:06,320 Speaker 8: the gauntlet. You know, if AI can write a chart 395 00:23:06,400 --> 00:23:10,560 Speaker 8: topping song, you know, humans need to step up your game. 396 00:23:11,119 --> 00:23:13,280 Speaker 1: Well, and we've talked about you know, Zema Phiz that 397 00:23:13,320 --> 00:23:15,720 Speaker 1: we've played on the show, that I've shared with the audience, 398 00:23:15,720 --> 00:23:18,760 Speaker 1: and how much people love love that song because it 399 00:23:18,840 --> 00:23:21,679 Speaker 1: is catchy. I my view on this is, and I 400 00:23:21,720 --> 00:23:23,840 Speaker 1: know that different companies are going to take different stances 401 00:23:23,880 --> 00:23:27,919 Speaker 1: regarding whether or not they want to utilize AI or 402 00:23:27,960 --> 00:23:31,879 Speaker 1: play AI music, But I think that you're gonna end 403 00:23:31,960 --> 00:23:34,080 Speaker 1: up seeing this, and we've discussed this before. I think 404 00:23:34,080 --> 00:23:35,840 Speaker 1: what you're going to see is sort of a sub 405 00:23:36,160 --> 00:23:40,440 Speaker 1: genre of music wherein it just lands in the category 406 00:23:40,600 --> 00:23:43,520 Speaker 1: of AI, and then the consumer can decide whether or 407 00:23:43,560 --> 00:23:46,240 Speaker 1: not they want to go and enjoy that. I do 408 00:23:46,280 --> 00:23:50,400 Speaker 1: find that that there's a big difference between an original 409 00:23:50,480 --> 00:23:53,320 Speaker 1: creation doing that thing with my fingers, like a song 410 00:23:54,160 --> 00:23:57,480 Speaker 1: walk my walk from this, you know, fictional band breaking rust, 411 00:23:57,600 --> 00:24:02,000 Speaker 1: as opposed to other AI created songs that are attempting 412 00:24:02,040 --> 00:24:06,959 Speaker 1: to duplicate existing artists or artists that have passed. There 413 00:24:06,960 --> 00:24:11,080 Speaker 1: seems to be a curiosity factor involved in those songs 414 00:24:11,640 --> 00:24:16,040 Speaker 1: and then shortly followed by a yeah, it's not the original. 415 00:24:16,160 --> 00:24:19,199 Speaker 2: I don't like it. I'm not going to listen to it. 416 00:24:19,240 --> 00:24:21,399 Speaker 1: So I think there's a difference between the two types 417 00:24:21,440 --> 00:24:24,200 Speaker 1: of entertainment being created via music and AI. 418 00:24:25,560 --> 00:24:28,119 Speaker 5: Yeah, I agree with that. It's interesting. 419 00:24:28,480 --> 00:24:33,639 Speaker 8: I could see a genre emerging in the future which 420 00:24:33,880 --> 00:24:37,560 Speaker 8: users not really current but past bands and creates new 421 00:24:37,640 --> 00:24:41,760 Speaker 8: music in their style. That wouldn't surprise me at all, right, Like, 422 00:24:41,920 --> 00:24:45,320 Speaker 8: there are different bands for the past people love, and 423 00:24:45,720 --> 00:24:49,400 Speaker 8: you know, some people would probably be interested to you know, 424 00:24:49,680 --> 00:24:54,840 Speaker 8: hear what Nirvana thinks of President Trump, for example, Sure, 425 00:24:56,160 --> 00:25:01,000 Speaker 8: or you pick your favorite, right, So it strikes me 426 00:25:01,040 --> 00:25:04,919 Speaker 8: that that right now, there's there's a complete stigma against this, 427 00:25:05,600 --> 00:25:09,280 Speaker 8: and there's a lot that's gross about having AI produce 428 00:25:09,520 --> 00:25:16,199 Speaker 8: songs from long gone artists weighing in, perhaps metaphorically, on 429 00:25:17,119 --> 00:25:19,439 Speaker 8: different challenges we face today. But I could see that 430 00:25:19,480 --> 00:25:22,800 Speaker 8: being a genre as well, Right, Like, if you look 431 00:25:22,840 --> 00:25:26,240 Speaker 8: at the what's happened during the course of our discussions 432 00:25:26,240 --> 00:25:30,639 Speaker 8: on AI, you know, we started out with AI. You know, 433 00:25:30,640 --> 00:25:33,760 Speaker 8: it was interesting, it had had the huge impact it 434 00:25:33,840 --> 00:25:37,119 Speaker 8: does and sort of like the untrue metaphor of a 435 00:25:37,119 --> 00:25:40,880 Speaker 8: boiling frog who will stay in the pot that boils 436 00:25:41,000 --> 00:25:43,080 Speaker 8: until it until it's dead. 437 00:25:43,560 --> 00:25:46,280 Speaker 5: And you know that's false, right, it doesn't happen to frogs, 438 00:25:46,400 --> 00:25:49,760 Speaker 5: right like that? That song accurate rate. 439 00:25:50,040 --> 00:25:53,679 Speaker 8: I like the metaphor even though it's untrue, and so 440 00:25:53,960 --> 00:25:57,440 Speaker 8: sort of like that, you still have, you know, occasionally 441 00:25:57,560 --> 00:26:00,720 Speaker 8: listeners weighing in and saying, isn't you know AI the 442 00:26:00,800 --> 00:26:02,800 Speaker 8: dog that didn't bark? It's not really having much of 443 00:26:02,800 --> 00:26:04,800 Speaker 8: an impact, but we see that it is right in 444 00:26:05,440 --> 00:26:06,080 Speaker 8: multiple ways. 445 00:26:06,119 --> 00:26:08,040 Speaker 5: It's already transformed the world that we lived in. 446 00:26:08,640 --> 00:26:11,800 Speaker 8: And we've gone from AI music when we first started 447 00:26:12,119 --> 00:26:15,080 Speaker 8: having these interviews not being a thing to now it's 448 00:26:16,200 --> 00:26:20,120 Speaker 8: it's topping a music chart and people asking the question 449 00:26:20,160 --> 00:26:23,160 Speaker 8: what do we do about that? The norms surrounding artificial 450 00:26:23,160 --> 00:26:27,639 Speaker 8: intelligence are changing rapidly, and if I were placing money down, 451 00:26:28,359 --> 00:26:31,760 Speaker 8: I would put my bet on There is also a 452 00:26:31,880 --> 00:26:39,000 Speaker 8: genre of past artists where AI is making them more contemporaneous, 453 00:26:39,280 --> 00:26:42,760 Speaker 8: and that that's going to be, you know, sort of accepted. 454 00:26:43,720 --> 00:26:46,120 Speaker 1: Well, what's interesting to me to beat is that we're 455 00:26:46,160 --> 00:26:49,920 Speaker 1: in this we're in this timeline right now with the 456 00:26:50,000 --> 00:26:54,800 Speaker 1: creation of AI where we're we're finding our way and 457 00:26:55,920 --> 00:26:59,880 Speaker 1: I'm curious at the and I'm fascinated at the unknown, 458 00:27:00,240 --> 00:27:05,600 Speaker 1: the questions that haven't arisen yet, considering that as we 459 00:27:06,000 --> 00:27:11,199 Speaker 1: embrace this emerging technology, as this technology advances, it's going 460 00:27:11,280 --> 00:27:13,080 Speaker 1: to it's opening up the doors and a lot of 461 00:27:13,160 --> 00:27:16,440 Speaker 1: venues and again a lot of questions that we're going 462 00:27:16,480 --> 00:27:19,280 Speaker 1: to need to have to answer as a society. And 463 00:27:19,320 --> 00:27:20,600 Speaker 1: we're not going to be able to get to those 464 00:27:20,680 --> 00:27:24,240 Speaker 1: questions without going through, you know, particular controversies. 465 00:27:24,240 --> 00:27:26,040 Speaker 2: There's one here relating to the. 466 00:27:26,000 --> 00:27:28,320 Speaker 1: School Water school, to the still Water School District that 467 00:27:28,320 --> 00:27:30,080 Speaker 1: we'll talk about here in a moment. But I think 468 00:27:30,080 --> 00:27:31,480 Speaker 1: this is a part of it, is you know, part 469 00:27:31,520 --> 00:27:33,680 Speaker 1: of it as well in terms of entertainment creation. We're 470 00:27:33,680 --> 00:27:36,800 Speaker 1: gonna we're in that trial and era phase right now, 471 00:27:36,800 --> 00:27:38,520 Speaker 1: and I just find all of that really interesting. 472 00:27:39,280 --> 00:27:41,840 Speaker 5: Absolutely, I agree with all of that. 473 00:27:42,119 --> 00:27:47,320 Speaker 8: And it's going to be an interesting process, including your 474 00:27:47,400 --> 00:27:53,240 Speaker 8: court cases, including your public controversies, fingerpointing, game calling. 475 00:27:54,520 --> 00:27:56,760 Speaker 5: That is going to be part of the process of 476 00:27:56,760 --> 00:27:57,560 Speaker 5: working this out. 477 00:27:58,200 --> 00:28:00,320 Speaker 1: One of the iHeartRadio app got to talk back friend 478 00:28:00,320 --> 00:28:01,479 Speaker 1: of the show, Raquel for you. 479 00:28:02,320 --> 00:28:06,880 Speaker 9: I am really surprised, so Davide. I know he's an 480 00:28:06,880 --> 00:28:12,320 Speaker 9: AI analyst, an expert. He can tell that that song 481 00:28:13,520 --> 00:28:17,840 Speaker 9: was AI. I just thought that was fascinating that he 482 00:28:17,920 --> 00:28:20,800 Speaker 9: could tell, because I couldn't even tell. 483 00:28:21,680 --> 00:28:25,160 Speaker 1: Wow, deVie, let me add something to this before you mentioned. 484 00:28:25,440 --> 00:28:27,600 Speaker 1: I'm actually going to venture a guest that if Raquel 485 00:28:27,720 --> 00:28:30,639 Speaker 1: had spent some time listening to more time listening to 486 00:28:30,680 --> 00:28:34,720 Speaker 1: AI songs that in a relatively short period of time, 487 00:28:34,920 --> 00:28:36,800 Speaker 1: kind of like a coke and PEPSI test, I think 488 00:28:36,840 --> 00:28:39,000 Speaker 1: most people could probably be able to tell, even though 489 00:28:39,000 --> 00:28:40,880 Speaker 1: they may not be able to pinpoint. 490 00:28:40,360 --> 00:28:42,840 Speaker 2: The reason why they are able to tell that it's AI. 491 00:28:43,640 --> 00:28:47,000 Speaker 8: Yeah, I agree with that for Raquel. It's more that 492 00:28:47,720 --> 00:28:50,120 Speaker 8: not only if I listened to AI songs. You know, 493 00:28:50,200 --> 00:28:53,480 Speaker 8: for my company Expert Theory, we generate AI songs to 494 00:28:54,200 --> 00:28:57,680 Speaker 8: sometimes to fill out the pop culture universe of our games, 495 00:28:58,120 --> 00:29:01,280 Speaker 8: So I'm very used to their composition forces, which is 496 00:29:01,520 --> 00:29:04,040 Speaker 8: like the song you know, if you're listening to it 497 00:29:04,080 --> 00:29:05,800 Speaker 8: at the first time and haven't listened to a lot 498 00:29:05,800 --> 00:29:09,640 Speaker 8: of AI music, it obviously sounds human, but there's sort 499 00:29:09,680 --> 00:29:12,560 Speaker 8: of a thinness to the composition and a predictability to 500 00:29:12,600 --> 00:29:16,840 Speaker 8: the composition. But moreover, if you listen to the lyrical scheme, 501 00:29:17,440 --> 00:29:20,360 Speaker 8: like the lyrics are the lyrics are not good. And 502 00:29:21,120 --> 00:29:24,280 Speaker 8: just like there's certain phrases. Lllms use large language models 503 00:29:24,320 --> 00:29:27,320 Speaker 8: we use when they're writing for you, and you know, 504 00:29:27,360 --> 00:29:29,840 Speaker 8: if you have a large language model generated newspaper article, 505 00:29:29,880 --> 00:29:32,680 Speaker 8: there's going to be certain cliches that it uses where 506 00:29:32,720 --> 00:29:35,920 Speaker 8: you can tell right away that it's LLM written and 507 00:29:36,000 --> 00:29:39,680 Speaker 8: that in Walk by Walk, the rhyme scheme was a 508 00:29:39,800 --> 00:29:43,680 Speaker 8: very AI based rhyme scheme, where in different genres I've 509 00:29:43,720 --> 00:29:47,400 Speaker 8: heard basically that exact rhyme scheme before, which right now 510 00:29:47,480 --> 00:29:48,600 Speaker 8: is one of the AI tells. 511 00:29:48,640 --> 00:29:50,320 Speaker 5: But it's a great question on Raquel's part. 512 00:29:51,080 --> 00:29:54,840 Speaker 8: AI just follows similar patterns because it's generating so many 513 00:29:54,840 --> 00:29:59,880 Speaker 8: things constantly that it has its own you know, it's 514 00:30:00,040 --> 00:30:02,280 Speaker 8: its own things that will give you a sense of 515 00:30:02,280 --> 00:30:04,600 Speaker 8: this an AI, just like people have their own writing 516 00:30:04,600 --> 00:30:07,320 Speaker 8: style or their own speaking show. Whether it be something 517 00:30:07,360 --> 00:30:09,760 Speaker 8: that someone does that makes you know right away that 518 00:30:09,800 --> 00:30:11,040 Speaker 8: it's written by a friend of yours. 519 00:30:11,040 --> 00:30:11,640 Speaker 2: Well, it's funny. 520 00:30:11,640 --> 00:30:14,080 Speaker 1: We usually only played the first half of Zima Fizz, 521 00:30:14,160 --> 00:30:16,720 Speaker 1: the John Justice theme song, but if you listen to 522 00:30:16,760 --> 00:30:19,120 Speaker 1: the last part of the song, the last few bit 523 00:30:19,160 --> 00:30:21,880 Speaker 1: of lyrics in it, they're completely undecipherable, like I've tried 524 00:30:21,920 --> 00:30:23,520 Speaker 1: to figure out what a I was trying to say, 525 00:30:23,520 --> 00:30:25,240 Speaker 1: and it clearly ran out of ideas. 526 00:30:25,560 --> 00:30:29,320 Speaker 2: So it just ends up having some word matchup. 527 00:30:28,960 --> 00:30:32,080 Speaker 1: That kind of rhymes with the previous statement, and that's 528 00:30:32,120 --> 00:30:34,120 Speaker 1: a that could be a tell as well. 529 00:30:34,160 --> 00:30:35,880 Speaker 2: Let's go back to the go ahead to. 530 00:30:35,920 --> 00:30:39,080 Speaker 8: Me, I should say, maybe it's a metaphor for our interviews. 531 00:30:40,600 --> 00:30:43,200 Speaker 2: That's probably true too. Let's go here. 532 00:30:44,800 --> 00:30:47,520 Speaker 10: Hey, John, this is Nick calling in from the great 533 00:30:47,520 --> 00:30:51,120 Speaker 10: state of Arizona. And you know I've done some AI 534 00:30:51,240 --> 00:30:53,560 Speaker 10: stuff and You've played a couple of AI songs that 535 00:30:53,600 --> 00:30:59,280 Speaker 10: I've created, including will Be on the View. And the 536 00:30:59,280 --> 00:31:01,240 Speaker 10: way that I do it is I actually write the 537 00:31:01,360 --> 00:31:06,160 Speaker 10: songs and then upload a little demo to an AI generator, 538 00:31:06,240 --> 00:31:08,440 Speaker 10: so I'm actually writing the songs. 539 00:31:09,240 --> 00:31:12,960 Speaker 2: It's just AI performing them devid. Let me play. 540 00:31:12,960 --> 00:31:15,320 Speaker 1: There's another talkback that rolled in that relates to this. 541 00:31:15,440 --> 00:31:19,080 Speaker 1: Let me add this talk back to Nick's comment. 542 00:31:20,000 --> 00:31:26,800 Speaker 11: My personal opinion is AI music is depressing. I like realism, 543 00:31:27,000 --> 00:31:31,400 Speaker 11: I like real people achieving real things. 544 00:31:31,760 --> 00:31:35,640 Speaker 1: Sure, but I remember a time when, you know, electronic 545 00:31:35,760 --> 00:31:39,440 Speaker 1: music in the early eighties, you know, began to become 546 00:31:39,440 --> 00:31:42,040 Speaker 1: more popular and there were people saying that it was 547 00:31:42,320 --> 00:31:46,920 Speaker 1: fake because individuals were using computers and synthesizers. And as 548 00:31:46,920 --> 00:31:49,800 Speaker 1: the previous talkback said, he's writing his own music and 549 00:31:49,840 --> 00:31:53,040 Speaker 1: he's just using the AI as a as a tool, 550 00:31:53,120 --> 00:31:54,600 Speaker 1: much like an individual would say, like. 551 00:31:54,680 --> 00:31:57,400 Speaker 2: Rock band on your Apple computer. 552 00:31:58,000 --> 00:32:00,320 Speaker 5: Yeah, but do you love the combination of the two 553 00:32:00,320 --> 00:32:01,920 Speaker 5: together though? Mm hmm, right. 554 00:32:01,960 --> 00:32:04,080 Speaker 8: I mean there are two great talkbacks which are two 555 00:32:04,160 --> 00:32:06,880 Speaker 8: different sides of this discussion. The first is, you know, 556 00:32:06,920 --> 00:32:09,720 Speaker 8: I wrote it. AI performed it, but I wrote it. 557 00:32:10,160 --> 00:32:12,600 Speaker 8: And the second was it's depressing, you need a human touch. 558 00:32:13,200 --> 00:32:16,360 Speaker 8: And finally you're the one who's filling it out that 559 00:32:16,440 --> 00:32:20,120 Speaker 8: at some point AI is going to be seen as 560 00:32:20,120 --> 00:32:23,800 Speaker 8: a natural part of our own composition, and we will 561 00:32:23,840 --> 00:32:27,200 Speaker 8: write in certain ways with AI that makes it feel 562 00:32:27,240 --> 00:32:27,720 Speaker 8: like our own. 563 00:32:28,320 --> 00:32:32,200 Speaker 5: I mean, that's just clearly the way that this is heading. Ultimately. 564 00:32:32,440 --> 00:32:35,040 Speaker 8: You know, I'm sympathetic. I don't like walk by Walk, right, 565 00:32:35,080 --> 00:32:36,400 Speaker 8: I like it's catchy. 566 00:32:36,480 --> 00:32:37,160 Speaker 5: I don't like it. 567 00:32:37,680 --> 00:32:41,680 Speaker 8: There's no there's no to be kind of human core 568 00:32:41,920 --> 00:32:45,600 Speaker 8: to that song. But for something where a human has 569 00:32:46,120 --> 00:32:50,240 Speaker 8: composed it, uh and it's bringing their vision to life, 570 00:32:50,360 --> 00:32:51,479 Speaker 8: I feel differently about it. 571 00:32:52,880 --> 00:32:55,360 Speaker 1: Let's we have enough time here, Let's go ahead and 572 00:32:55,920 --> 00:32:58,560 Speaker 1: tackle this. It's on a serious level talking about AI. 573 00:32:58,680 --> 00:33:02,040 Speaker 1: As we speak with David Gartenstein Ross Against CEO at 574 00:33:02,080 --> 00:33:07,120 Speaker 1: Expert Theory, are AI analyst, and really a horrible story 575 00:33:07,280 --> 00:33:10,720 Speaker 1: coming out of the Stillwater School District. Some parents are 576 00:33:10,760 --> 00:33:14,960 Speaker 1: now threatening to sue the school Stillwater School District, alleging 577 00:33:15,000 --> 00:33:18,080 Speaker 1: it did not protect students from a former employee who 578 00:33:18,080 --> 00:33:22,080 Speaker 1: has since been arrested for using artificial intelligence to create 579 00:33:22,520 --> 00:33:25,239 Speaker 1: sexually explicit photos of kids in his care. I mean, 580 00:33:25,280 --> 00:33:30,400 Speaker 1: it's just absolutely horrible. What's interesting about the story is 581 00:33:30,520 --> 00:33:33,960 Speaker 1: this individual has not worked for still Waters Summer Childcare 582 00:33:34,000 --> 00:33:37,280 Speaker 1: program since two thousand and four and was indicted on 583 00:33:37,320 --> 00:33:41,200 Speaker 1: federal charges earlier this year. However, Minnesota Senator Aaron make 584 00:33:41,240 --> 00:33:44,440 Speaker 1: Wade did introduce a bill that would require companies to 585 00:33:44,520 --> 00:33:48,760 Speaker 1: turn off consumer access to use, or even request to use, 586 00:33:49,400 --> 00:33:53,840 Speaker 1: this type of newification, as it's called in the story technology. 587 00:33:53,840 --> 00:33:57,360 Speaker 1: If any company fails, it could face a five hundred 588 00:33:57,440 --> 00:34:00,480 Speaker 1: thousand dollars fine and devieed. While I certainly do not 589 00:34:00,640 --> 00:34:04,960 Speaker 1: endorse or support the use of AI in this particular fashion, 590 00:34:06,440 --> 00:34:10,520 Speaker 1: it does seem like this could really open up Pandora's 591 00:34:10,560 --> 00:34:14,719 Speaker 1: box in terms of litigation, like is this something that 592 00:34:14,840 --> 00:34:17,960 Speaker 1: can be programmed out of an AI? 593 00:34:18,160 --> 00:34:20,480 Speaker 2: Is it stifling of AI creation? 594 00:34:20,600 --> 00:34:22,319 Speaker 1: I mean, often we don't want to push back on 595 00:34:22,360 --> 00:34:24,920 Speaker 1: this because it's a horrible thing of what this individual did, 596 00:34:25,440 --> 00:34:27,840 Speaker 1: but we need to look at the further ramifications and 597 00:34:27,920 --> 00:34:32,680 Speaker 1: unintended consequences of moving forward with legislation that would sort 598 00:34:32,680 --> 00:34:34,239 Speaker 1: of restrict this type of technology. 599 00:34:34,280 --> 00:34:34,960 Speaker 2: What are your thoughts. 600 00:34:35,760 --> 00:34:39,160 Speaker 8: I'd support the legislation, okay, just because I think the 601 00:34:39,239 --> 00:34:44,960 Speaker 8: use of nutification technology is so grotesque. It can be 602 00:34:45,040 --> 00:34:49,040 Speaker 8: used to produce things like you know, fictitious revenge board 603 00:34:49,840 --> 00:34:53,000 Speaker 8: or like your people in the public sphere could suddenly 604 00:34:53,000 --> 00:34:56,759 Speaker 8: see nude pictures of themselves leaking out online that look 605 00:34:56,960 --> 00:35:00,640 Speaker 8: very real and that are used to kind of humiliate 606 00:35:00,680 --> 00:35:03,960 Speaker 8: and degrade. And in this case, it was used for 607 00:35:04,080 --> 00:35:07,800 Speaker 8: child pornography. Sure, this is I mean, leave aside AI. 608 00:35:08,160 --> 00:35:11,520 Speaker 8: What he did is just it's it's illegal under even 609 00:35:11,560 --> 00:35:14,640 Speaker 8: pre AI laws. But here like what was being done 610 00:35:14,760 --> 00:35:19,400 Speaker 8: with him using photos of children in his care to 611 00:35:19,520 --> 00:35:23,960 Speaker 8: create child pornography based on kids that he had access 612 00:35:24,000 --> 00:35:30,640 Speaker 8: to repulsive. So for me, I would support the prescription 613 00:35:30,719 --> 00:35:34,080 Speaker 8: on neutification technology. It's actually very easy to do, and 614 00:35:34,120 --> 00:35:36,560 Speaker 8: there's already a lot of things that are black boxed 615 00:35:36,560 --> 00:35:39,200 Speaker 8: out of what you can touch with AI, including like 616 00:35:39,320 --> 00:35:42,399 Speaker 8: if you're trying to assassinate someone, AI will not help 617 00:35:42,440 --> 00:35:45,680 Speaker 8: you on that. If you're generally speaking, if you're trying 618 00:35:45,719 --> 00:35:49,440 Speaker 8: to figure out how to create a synthetic drug, if 619 00:35:49,440 --> 00:35:52,040 Speaker 8: you're trying to figure out how to create fentanyl, AI 620 00:35:52,160 --> 00:35:53,120 Speaker 8: will not help you with that. 621 00:35:53,160 --> 00:35:55,719 Speaker 5: Most of these are blocked out, and I. 622 00:35:55,680 --> 00:35:58,760 Speaker 8: Think that in this case it's something where the public 623 00:35:58,880 --> 00:36:04,960 Speaker 8: utility is so low that stopping neutification, to me is 624 00:36:05,840 --> 00:36:08,480 Speaker 8: very intuitive and one of those things that will help 625 00:36:08,560 --> 00:36:13,640 Speaker 8: AI from descending into a sesspool. 626 00:36:13,760 --> 00:36:17,120 Speaker 5: Or at the very delay AI descending into a sesspool. 627 00:36:17,160 --> 00:36:19,080 Speaker 1: Oh, you certainly answer my question, because that's what I 628 00:36:19,160 --> 00:36:21,440 Speaker 1: was curious about, and that's why I appreciate when you 629 00:36:21,480 --> 00:36:22,760 Speaker 1: have the opportunity to join. 630 00:36:22,640 --> 00:36:23,799 Speaker 2: Us every single week. 631 00:36:23,840 --> 00:36:26,840 Speaker 1: Our conversation seemed to fly by, but I appreciate the 632 00:36:26,880 --> 00:36:29,080 Speaker 1: time that we had this morning. De v tot Gartenstein 633 00:36:29,200 --> 00:36:33,080 Speaker 1: Ross against CEO at Expert Theory. Hopefully we can talk 634 00:36:33,400 --> 00:36:36,240 Speaker 1: again next weekend. As always, if anybody has any further questions, 635 00:36:36,320 --> 00:36:39,279 Speaker 1: for David. You can email me Justice at iHeartRadio dot 636 00:36:39,280 --> 00:36:42,080 Speaker 1: com and I'm happy to go and forward those over. 637 00:36:42,160 --> 00:36:44,280 Speaker 2: David, thank you so much for the time this morning. 638 00:36:44,320 --> 00:36:45,319 Speaker 2: I appreciate it. 639 00:36:45,800 --> 00:36:47,160 Speaker 5: Thank you, John. It's great joining you. 640 00:36:47,800 --> 00:36:50,840 Speaker 2: Coming up, has some audio to share. 641 00:36:51,320 --> 00:36:53,040 Speaker 1: First off, I'm going to ask the question if this 642 00:36:53,080 --> 00:36:54,839 Speaker 1: is the last Christmas for New York City. 643 00:36:56,760 --> 00:36:57,319 Speaker 2: And then I have. 644 00:36:57,360 --> 00:37:01,360 Speaker 1: Audio not only from Zohram Mom Donnie, but a ridiculous 645 00:37:01,440 --> 00:37:05,680 Speaker 1: post from Peggy Flanagan that I'll share with you. I 646 00:37:05,680 --> 00:37:07,879 Speaker 1: don't even want to give you the preview of what 647 00:37:07,960 --> 00:37:10,479 Speaker 1: she said. I just want just stick around for you. You 648 00:37:10,440 --> 00:37:12,200 Speaker 1: don't want to you don't want to go anywhere. This 649 00:37:12,239 --> 00:37:14,840 Speaker 1: is all going to roll into the conversation regarding the 650 00:37:14,960 --> 00:37:17,840 Speaker 1: increase in property taxes here in Minnesota. Many of you 651 00:37:17,920 --> 00:37:20,480 Speaker 1: have left comments already. We will get to those, and 652 00:37:20,600 --> 00:37:24,160 Speaker 1: Ryan Wilson, candidate for Lieutenant Governor, will be joining me 653 00:37:24,200 --> 00:37:26,560 Speaker 1: in studio coming up at seven thirty here on Twinsday's 654 00:37:26,600 --> 00:37:29,040 Speaker 1: News Talk AM eleven thirty and one oh three five FM.