1 00:00:02,800 --> 00:00:07,040 Speaker 1: No, look, this is still Donald Trump's Republican party, and. 2 00:00:06,960 --> 00:00:07,880 Speaker 2: We can see it here. 3 00:00:08,320 --> 00:00:10,960 Speaker 3: They it's like a rock. To quote Bob Sieger, I mean. 4 00:00:10,880 --> 00:00:13,200 Speaker 1: Take a look here, Republicans who approve of Trump. Six 5 00:00:13,240 --> 00:00:15,080 Speaker 1: months ago, it was eighty seven percent. 6 00:00:15,600 --> 00:00:18,200 Speaker 2: Now, well, hello, it's the same number. 7 00:00:18,400 --> 00:00:19,440 Speaker 3: It's eighty seven percent. 8 00:00:19,600 --> 00:00:23,079 Speaker 1: He has not lost any support among Republicans compared to 9 00:00:23,160 --> 00:00:25,640 Speaker 1: six months ago. As I said at the beginning, he's 10 00:00:25,840 --> 00:00:28,600 Speaker 1: like a rock. He's like a rock. The Republican base 11 00:00:29,000 --> 00:00:30,880 Speaker 1: is sticking by Donald Trump. 12 00:00:30,560 --> 00:00:32,720 Speaker 4: At this point, and he really is interesting to watch 13 00:00:32,720 --> 00:00:34,720 Speaker 4: his overall and go down, down, down, down. 14 00:00:34,760 --> 00:00:37,120 Speaker 2: But see this be completely constant here. 15 00:00:37,200 --> 00:00:39,360 Speaker 1: It is among independents, it is not among Republicans. 16 00:00:39,360 --> 00:00:41,320 Speaker 4: Okay, So how does this compare to past president's in 17 00:00:41,360 --> 00:00:41,959 Speaker 4: a second term? 18 00:00:42,000 --> 00:00:44,279 Speaker 1: Yeah, okay, I think this gives the game away, right, 19 00:00:44,360 --> 00:00:46,360 Speaker 1: which is Donald Trump? If you look at twenty first 20 00:00:46,360 --> 00:00:49,280 Speaker 1: century president's own party approval at this point in term two, 21 00:00:49,440 --> 00:00:50,360 Speaker 1: who leads the pack? 22 00:00:50,640 --> 00:00:51,880 Speaker 3: It's Donald John Trump. 23 00:00:52,240 --> 00:00:55,840 Speaker 1: Eighty seven percent of Republicans approved Donald John Trump. You 24 00:00:55,920 --> 00:00:59,360 Speaker 1: go back to twenty thirteen, seventy eight percent of Democrats 25 00:00:59,440 --> 00:01:01,960 Speaker 1: supported b'roack Obama, and it was seventy eight percent of 26 00:01:02,000 --> 00:01:05,119 Speaker 1: Republicans who supported George W. Bush back in two thousand 27 00:01:05,160 --> 00:01:07,360 Speaker 1: and five. At this point, so Donald Trump has the 28 00:01:07,440 --> 00:01:10,800 Speaker 1: biggest own party highest own party approval of any president 29 00:01:10,840 --> 00:01:13,679 Speaker 1: who served their entire second term in the twenty first cents. 30 00:01:13,720 --> 00:01:14,679 Speaker 2: He could look, there's one of two ways. 31 00:01:14,720 --> 00:01:17,280 Speaker 4: He could say, obviously he's doing way better than past presidents, 32 00:01:17,400 --> 00:01:19,720 Speaker 4: or you could say there is still room to settle 33 00:01:19,720 --> 00:01:22,119 Speaker 4: if there is a reversion to the mean here. If 34 00:01:22,120 --> 00:01:24,720 Speaker 4: that does fall further, that could ship into his overall approval. 35 00:01:24,800 --> 00:01:29,720 Speaker 5: Radio Okay, good best pod awake in uh, there's no 36 00:01:29,880 --> 00:01:31,480 Speaker 5: wikramala last you. 37 00:01:31,840 --> 00:01:39,840 Speaker 3: Trump Morning, and I love your show. 38 00:01:41,800 --> 00:01:44,920 Speaker 5: Twin City's News Talk Am eleven thirty one oh three 39 00:01:45,080 --> 00:01:52,240 Speaker 5: five FM live on the iHeartRadio app from the sixty 40 00:01:52,280 --> 00:01:55,280 Speaker 5: five to one Carpet plus. 41 00:01:55,000 --> 00:02:00,360 Speaker 3: Next Day Install studios. Some call me John J. Justice, 42 00:02:03,680 --> 00:02:04,840 Speaker 3: Others call me other things. 43 00:02:08,800 --> 00:02:12,200 Speaker 5: And the Master Control booth next door is Sam the 44 00:02:12,320 --> 00:02:13,320 Speaker 5: Moran John Justice. 45 00:02:13,480 --> 00:02:15,360 Speaker 3: I just like calling it the Master Control Booth. 46 00:02:15,639 --> 00:02:18,840 Speaker 6: I got that, and don't worry, I won't call you 47 00:02:18,880 --> 00:02:19,360 Speaker 6: other things. 48 00:02:19,600 --> 00:02:22,640 Speaker 5: Well, it only just I only just realized, I mean, 49 00:02:22,680 --> 00:02:24,400 Speaker 5: I don't know, I'd only started calling it that. A 50 00:02:24,400 --> 00:02:28,120 Speaker 5: couple of months back, but I only now recognize that 51 00:02:28,200 --> 00:02:31,280 Speaker 5: we have, like the doors of the studios are all 52 00:02:31,880 --> 00:02:34,840 Speaker 5: adorned with stylistic letters, you know, of the of the 53 00:02:34,840 --> 00:02:37,960 Speaker 5: stations and all that, and it says master Control out there. 54 00:02:38,000 --> 00:02:41,200 Speaker 3: That's that's cool. That's better than the saying the booth 55 00:02:41,320 --> 00:02:41,840 Speaker 3: next door. 56 00:02:43,160 --> 00:02:46,080 Speaker 6: Did you write the nameplate by the way, I did? Okay, 57 00:02:46,080 --> 00:02:47,079 Speaker 6: I figured that was you. 58 00:02:47,160 --> 00:02:47,560 Speaker 7: That was me. 59 00:02:47,760 --> 00:02:49,720 Speaker 3: I am shocked that nobody's removed it yet. 60 00:02:49,760 --> 00:02:53,480 Speaker 5: We have we have nameplates outside of all the studios 61 00:02:53,520 --> 00:02:53,839 Speaker 5: as well. 62 00:02:53,880 --> 00:02:56,520 Speaker 3: Like I'm looking right through our studio door and I. 63 00:02:56,480 --> 00:03:00,880 Speaker 5: Can see KADWB, Dave Ryan and then the heart logo. 64 00:03:01,200 --> 00:03:03,480 Speaker 5: I'm looking just looking right at it across the across 65 00:03:03,480 --> 00:03:06,440 Speaker 5: the hall through the little sliver of our of our 66 00:03:06,520 --> 00:03:07,639 Speaker 5: jail like door. 67 00:03:08,480 --> 00:03:10,239 Speaker 3: Because that's really what it is. It's like it's like 68 00:03:10,280 --> 00:03:10,880 Speaker 3: a jail door. 69 00:03:11,000 --> 00:03:12,919 Speaker 6: It's heavy. I mean, they're really heavy doors. 70 00:03:13,160 --> 00:03:15,640 Speaker 5: Yeah, but you know what's so funny about Well, let 71 00:03:15,680 --> 00:03:17,480 Speaker 5: me address your thing. You're what you said real quick 72 00:03:17,480 --> 00:03:20,280 Speaker 5: before I get completely off on a tangent. It's Thanksgiving week, 73 00:03:20,280 --> 00:03:25,400 Speaker 5: I don't care. But so we have these these placards 74 00:03:25,600 --> 00:03:29,560 Speaker 5: and they're usually done up nicely. Well, we never updated 75 00:03:29,600 --> 00:03:33,440 Speaker 5: the plaque outside because of the rotating cast of individuals 76 00:03:33,440 --> 00:03:35,160 Speaker 5: that work in the master control. But and I felt 77 00:03:35,160 --> 00:03:37,360 Speaker 5: bad about that, so I just grabbed a piece of 78 00:03:37,360 --> 00:03:40,560 Speaker 5: paper and a pen. Then I wrote the names of 79 00:03:40,000 --> 00:03:44,400 Speaker 5: of you, Devin and Brett, since you're the only ones 80 00:03:44,400 --> 00:03:47,280 Speaker 5: that ever go and help produce the show. And I 81 00:03:47,320 --> 00:03:49,360 Speaker 5: threw it in the little the little placard holder. So 82 00:03:49,520 --> 00:03:51,760 Speaker 5: you know what, maybe on my all my days off 83 00:03:51,760 --> 00:03:53,960 Speaker 5: this week, I'll you know, print something up a little 84 00:03:53,960 --> 00:03:54,520 Speaker 5: bit nicer. 85 00:03:55,320 --> 00:03:57,720 Speaker 6: Well, I appreciate that, although I think you're giving too 86 00:03:57,760 --> 00:03:59,640 Speaker 6: much credit to the folks down the hall. I did. 87 00:03:59,720 --> 00:04:02,920 Speaker 6: I think I just forgot about forgot about us producers. 88 00:04:02,400 --> 00:04:02,960 Speaker 3: For your hand. 89 00:04:03,040 --> 00:04:05,400 Speaker 6: Yeah, yeah, well, I mean well i'll tell you not 90 00:04:05,440 --> 00:04:08,880 Speaker 6: to your story about that, Okay, I'll go. 91 00:04:09,360 --> 00:04:11,680 Speaker 3: That's fascinating to talk to. Well, that's what I'm looking 92 00:04:11,720 --> 00:04:13,839 Speaker 3: forward to. No, it's funny about the door. 93 00:04:13,960 --> 00:04:18,960 Speaker 5: Just really quick, So any new guests that we have today, 94 00:04:19,080 --> 00:04:22,200 Speaker 5: Speaking of guests, good An a trail candidate phil Parish. 95 00:04:22,440 --> 00:04:24,000 Speaker 5: Philip Parish will be I. 96 00:04:23,960 --> 00:04:25,080 Speaker 3: Don't know, it's funny. 97 00:04:25,080 --> 00:04:26,920 Speaker 5: I don't know if he goes by phil I think 98 00:04:26,920 --> 00:04:30,799 Speaker 5: he just goes by Philip. I mean have arbitrarily shortened 99 00:04:30,800 --> 00:04:33,320 Speaker 5: his name. I was up late last night. I went 100 00:04:33,400 --> 00:04:37,120 Speaker 5: and did Laura Ingram Pinky's up. He'll be joining us 101 00:04:37,120 --> 00:04:40,400 Speaker 5: at eight o'clock this morning, Devid Gartenstein Ross our ai 102 00:04:40,560 --> 00:04:45,400 Speaker 5: analyst at six point thirty this morning. But whenever we 103 00:04:45,480 --> 00:04:48,560 Speaker 5: have new guests into the studio, I have to tell 104 00:04:48,720 --> 00:04:53,279 Speaker 5: them when we when they leave, the door isn't locked. 105 00:04:53,440 --> 00:04:58,039 Speaker 5: It's just super heavy because it is what you would 106 00:04:58,040 --> 00:05:01,520 Speaker 5: expect to see like in like in a holding cell 107 00:05:01,960 --> 00:05:04,679 Speaker 5: at a police you know, at a police station. 108 00:05:04,839 --> 00:05:05,520 Speaker 3: It's that thick. 109 00:05:05,560 --> 00:05:07,640 Speaker 5: It has a very sliver and just a very small 110 00:05:07,720 --> 00:05:11,960 Speaker 5: sliver of a window made of metal. And what's funny 111 00:05:12,000 --> 00:05:15,560 Speaker 5: about it though? There is there's no lock, right like 112 00:05:15,600 --> 00:05:17,640 Speaker 5: I know why they I don't think they because they don't. 113 00:05:17,839 --> 00:05:21,040 Speaker 5: They don't want radio hosts barricading themselves in the studio. 114 00:05:21,400 --> 00:05:24,040 Speaker 6: I'll buzzy out, John, you're off the air now that 115 00:05:24,040 --> 00:05:25,160 Speaker 6: that I right? 116 00:05:25,440 --> 00:05:29,919 Speaker 5: That I completely understand, or vice versa locking us in studios. So, 117 00:05:30,520 --> 00:05:34,159 Speaker 5: you know, talk show hosts, in radio personalities in general, 118 00:05:34,279 --> 00:05:38,400 Speaker 5: we are a where a we are a volatile, volatile group. 119 00:05:39,040 --> 00:05:40,760 Speaker 3: What does a being mean, Michael? 120 00:05:40,839 --> 00:05:41,880 Speaker 2: What is a being mean? 121 00:05:42,000 --> 00:05:43,640 Speaker 8: What does a mean. 122 00:05:43,839 --> 00:05:45,440 Speaker 5: So we're gonna get into this coming up in just 123 00:05:45,480 --> 00:05:48,600 Speaker 5: a moment. I am fascinated with this Yahoo often being 124 00:05:50,279 --> 00:05:53,320 Speaker 5: running against the Republican Matt van EPs in a special 125 00:05:53,320 --> 00:05:58,359 Speaker 5: election next week on Tuesday, has been just presenting the 126 00:05:58,680 --> 00:06:05,000 Speaker 5: far left positions as frequently as she can, from past 127 00:06:05,080 --> 00:06:08,159 Speaker 5: audio to current audio. There was a video that's now 128 00:06:08,200 --> 00:06:11,880 Speaker 5: been released of Often being being hauled out of a 129 00:06:11,920 --> 00:06:16,120 Speaker 5: representative's office by capital law enforcement. 130 00:06:16,200 --> 00:06:18,920 Speaker 3: I mean, the woman is just a psycho. 131 00:06:19,040 --> 00:06:22,480 Speaker 5: We have here comments that I'll share with you coming 132 00:06:22,560 --> 00:06:26,359 Speaker 5: up of what her concern was in the aftermath of 133 00:06:26,400 --> 00:06:32,400 Speaker 5: the horrific School Christian School shooting. So we'll get into 134 00:06:32,400 --> 00:06:34,000 Speaker 5: this coming up in just a moment. I'll share the 135 00:06:34,080 --> 00:06:40,599 Speaker 5: audio with you also. Pete Hegseth the seditious six, pointing 136 00:06:40,640 --> 00:06:42,880 Speaker 5: to the six lawmakers to put the video out, trying 137 00:06:42,880 --> 00:06:48,360 Speaker 5: to wedge themselves between our nation's military and the commander 138 00:06:48,560 --> 00:06:51,599 Speaker 5: in chief. And we have more audio to share from 139 00:06:51,720 --> 00:06:57,160 Speaker 5: Texas Congressman Ruben Diego, who makes a really compelling argument 140 00:06:57,560 --> 00:07:01,600 Speaker 5: pushing back against the potential EMPs to go and investigate 141 00:07:02,400 --> 00:07:04,840 Speaker 5: Mark Kelly. So got a lot to get into in 142 00:07:04,880 --> 00:07:07,919 Speaker 5: a short period of time ahead of my conversation with 143 00:07:08,000 --> 00:07:12,640 Speaker 5: David Gartenstein Ross and his answering of any AI related 144 00:07:12,760 --> 00:07:15,000 Speaker 5: questions that you might have. Speaking of that, just a 145 00:07:15,040 --> 00:07:18,160 Speaker 5: quick preview. Trump did sign an order yesterday launching what 146 00:07:18,280 --> 00:07:22,120 Speaker 5: is being called a Manhattan Project for artificial intelligence, and 147 00:07:22,160 --> 00:07:24,560 Speaker 5: so we will get David's thoughts on that. 148 00:07:24,960 --> 00:07:27,240 Speaker 3: As I mentioned, if you're listening on the iHeartRadio app, 149 00:07:27,320 --> 00:07:28,040 Speaker 3: leave us a talk back. 150 00:07:28,680 --> 00:07:31,000 Speaker 5: Those are brought to you by Lyndahl, a real team. 151 00:07:31,080 --> 00:07:35,600 Speaker 5: We'll also take your emails as well, Justice at iHeartRadio 152 00:07:36,080 --> 00:07:39,120 Speaker 5: dot com. Welcome to Tuesday show. I'm glad you're with us. 153 00:07:39,160 --> 00:07:41,920 Speaker 5: Don't go anywhere. It's Twin City's news Talk Am eleven 154 00:07:42,040 --> 00:07:53,360 Speaker 5: thirty and one oh three five FM. 155 00:07:53,480 --> 00:07:56,520 Speaker 8: Hey john Sonya and Laura last night. Thanks for staying 156 00:07:56,600 --> 00:07:59,640 Speaker 8: up late for us, and I appreciate your efforts to 157 00:07:59,680 --> 00:08:05,640 Speaker 8: make the disgusting situation national news. You're a part of that, 158 00:08:05,760 --> 00:08:07,960 Speaker 8: and thank you so much. Have a great day. 159 00:08:08,560 --> 00:08:11,000 Speaker 5: Thank you for that. Don't thank me too much. I 160 00:08:11,080 --> 00:08:16,640 Speaker 5: like driving around my car. Not a fan of going 161 00:08:16,640 --> 00:08:20,240 Speaker 5: to downtown Minneapolis at night, I'll tell you that much. 162 00:08:24,640 --> 00:08:28,440 Speaker 5: I don't think I've ever been more cognizant of my surroundings. 163 00:08:29,960 --> 00:08:33,600 Speaker 5: It's the driving down to the studio in downtown Minneapolis 164 00:08:33,640 --> 00:08:36,720 Speaker 5: last night. Let's go back to your talkbacks as we 165 00:08:36,800 --> 00:08:39,600 Speaker 5: continue to kick off Tuesday show here on Twin City's 166 00:08:39,600 --> 00:08:41,360 Speaker 5: News Talk from the six five to one carpet Next 167 00:08:41,400 --> 00:08:42,480 Speaker 5: Day install studios. 168 00:08:42,880 --> 00:08:43,440 Speaker 2: That's heavy. 169 00:08:43,720 --> 00:08:47,360 Speaker 9: Jail door wouldn't have anything to do with sound isolation, 170 00:08:47,440 --> 00:08:47,800 Speaker 9: would it? 171 00:08:48,840 --> 00:08:50,720 Speaker 2: Asking for a friend have a good day? 172 00:08:51,760 --> 00:08:53,640 Speaker 3: I would guess. 173 00:08:54,160 --> 00:08:56,760 Speaker 5: But I've worked in several studios throughout my career and 174 00:08:57,000 --> 00:09:00,160 Speaker 5: this door is the biggest and heaviest door that I 175 00:09:00,200 --> 00:09:04,280 Speaker 5: have ever that I have ever used for a studio before. 176 00:09:04,360 --> 00:09:06,400 Speaker 5: That would be my guess is that it would be soundproofing. 177 00:09:06,600 --> 00:09:08,960 Speaker 5: Doesn't do it fantastic. It doesn't do a great job. 178 00:09:09,000 --> 00:09:10,840 Speaker 5: You guys can't hear it on the air, but I 179 00:09:10,880 --> 00:09:12,840 Speaker 5: can't tell you how many times I can either hear 180 00:09:13,280 --> 00:09:16,960 Speaker 5: Katie w B essentially in front of me or Kfa 181 00:09:17,120 --> 00:09:19,680 Speaker 5: N and the Power Trip to the shares the wall 182 00:09:19,760 --> 00:09:22,640 Speaker 5: right right to the back of me. They bang on 183 00:09:22,679 --> 00:09:24,120 Speaker 5: a lot of things in there during their show. I 184 00:09:24,160 --> 00:09:25,000 Speaker 5: don't know what's going on. 185 00:09:25,200 --> 00:09:27,880 Speaker 6: It's Fridays, but they're not as fun as we are, 186 00:09:27,920 --> 00:09:28,440 Speaker 6: that's for sure. 187 00:09:28,520 --> 00:09:31,280 Speaker 3: Oh, that's kind of that's nice of you to say. 188 00:09:32,360 --> 00:09:34,240 Speaker 9: Good morning, John Tam Kansas City. 189 00:09:34,720 --> 00:09:34,880 Speaker 10: Uh. 190 00:09:35,200 --> 00:09:38,520 Speaker 9: Yesterday I watched Fox Live Now Live Now for Fox 191 00:09:39,080 --> 00:09:43,040 Speaker 9: for almost an hour and listen to the entire Somali 192 00:09:43,120 --> 00:09:46,600 Speaker 9: community and all of the big cheeses in Minnesota except 193 00:09:46,679 --> 00:09:49,839 Speaker 9: Walls of course, lamenting about this. 194 00:09:51,600 --> 00:09:53,600 Speaker 3: Taking away this provision. 195 00:09:53,679 --> 00:09:58,200 Speaker 9: And not one peep about the fraud that you never 196 00:09:58,320 --> 00:10:01,640 Speaker 9: mentioned the fraud, not one time, no with no, no. 197 00:10:01,920 --> 00:10:04,320 Speaker 5: This is the this is the playbook, this is the tactic. 198 00:10:05,280 --> 00:10:08,720 Speaker 5: They're only going to go and focus on that which 199 00:10:08,760 --> 00:10:10,360 Speaker 5: is most politically viable. 200 00:10:12,360 --> 00:10:17,320 Speaker 3: There there is what's the word I'm looking for. 201 00:10:19,320 --> 00:10:24,960 Speaker 5: They're not rational about any of this whatsoever. If you 202 00:10:25,080 --> 00:10:28,640 Speaker 5: are a rational individual, you can do both. I mentioned 203 00:10:28,640 --> 00:10:30,920 Speaker 5: this yesterday. You can do both. You can you can 204 00:10:30,920 --> 00:10:35,160 Speaker 5: criticize the opposite, the opposition party, but you can also 205 00:10:35,400 --> 00:10:38,760 Speaker 5: focus on the concern to do something about it. 206 00:10:38,960 --> 00:10:40,720 Speaker 3: But the Democrat Party. 207 00:10:40,520 --> 00:10:43,200 Speaker 5: By and large is taking this position where we're going 208 00:10:43,240 --> 00:10:46,360 Speaker 5: to ignore the horrible thing and we're just we're just 209 00:10:46,400 --> 00:10:49,120 Speaker 5: going to focus solely on pushing back on the party 210 00:10:50,679 --> 00:10:54,040 Speaker 5: in power, the opposition party. That's the case with the 211 00:10:54,160 --> 00:10:58,800 Speaker 5: seditious six. There is no conversation on the left about 212 00:10:58,840 --> 00:11:02,520 Speaker 5: whether or not the those six members of Congress should 213 00:11:02,520 --> 00:11:04,719 Speaker 5: have done the video. This was all coordinated, this was 214 00:11:04,760 --> 00:11:10,000 Speaker 5: all planned and listen, they laid a trap. Trump took it. 215 00:11:10,040 --> 00:11:14,000 Speaker 5: But he had no choice but to set the trap 216 00:11:14,040 --> 00:11:18,440 Speaker 5: off because it simply can't be avoided. You know, I 217 00:11:18,480 --> 00:11:20,560 Speaker 5: was thinking, is there an argument to be made about 218 00:11:20,600 --> 00:11:25,520 Speaker 5: this video calling on our military to avoid illegal orders 219 00:11:25,600 --> 00:11:27,560 Speaker 5: even though they've all pretty much admitted there are no 220 00:11:27,640 --> 00:11:31,480 Speaker 5: illegal orders? Is there a scenario where you just ignore 221 00:11:31,520 --> 00:11:32,920 Speaker 5: the video and forget about it? 222 00:11:33,000 --> 00:11:37,640 Speaker 3: And yeah, there is, but to do. 223 00:11:37,559 --> 00:11:41,920 Speaker 5: So would be to your own demise because they shouldn't 224 00:11:41,960 --> 00:11:42,520 Speaker 5: be doing that. 225 00:11:43,000 --> 00:11:44,760 Speaker 3: It's completely wholly inappropriate. 226 00:11:45,480 --> 00:11:49,640 Speaker 5: It is teetering on seditious action, which is why there's 227 00:11:49,679 --> 00:11:51,040 Speaker 5: an investigation going on. 228 00:11:51,880 --> 00:11:52,040 Speaker 11: Now. 229 00:11:52,040 --> 00:11:53,520 Speaker 5: Before I get to more of that, I do want 230 00:11:53,559 --> 00:11:57,320 Speaker 5: to talk a little bit about this psycho Aften Being, 231 00:11:57,800 --> 00:11:59,800 Speaker 5: which is a really good example and why I wanted 232 00:11:59,800 --> 00:12:04,240 Speaker 5: to with you this morning. Democrat Afton Bean said Covenant 233 00:12:04,280 --> 00:12:09,280 Speaker 5: To shooting made her fearful for trans communities. This is 234 00:12:09,640 --> 00:12:15,840 Speaker 5: in the aftermath of the Tennessee Covenant School Christian School shooting. Michael, 235 00:12:15,880 --> 00:12:21,640 Speaker 5: what does being now running to represent Nashville is probably 236 00:12:21,679 --> 00:12:24,360 Speaker 5: going to lose. They're calling her the AOC of Tennessee. 237 00:12:24,640 --> 00:12:28,000 Speaker 5: She's worse than that. Said in the aftermath of the shooting, 238 00:12:28,040 --> 00:12:31,640 Speaker 5: it was incredibly upsetting for her family because of the 239 00:12:31,679 --> 00:12:36,800 Speaker 5: anger directed at trans communities. Absolutely no commentary or sympathy 240 00:12:36,880 --> 00:12:42,960 Speaker 5: for the victims involved. Immediately they default to the identity 241 00:12:43,120 --> 00:12:44,240 Speaker 5: of the perpetrator. 242 00:12:44,880 --> 00:12:46,880 Speaker 12: So, for those of you who don't know, my partner 243 00:12:46,880 --> 00:12:51,560 Speaker 12: has a trans son, and the month of April and 244 00:12:51,640 --> 00:12:57,080 Speaker 12: the final week of March was incredibly upsetting for us. 245 00:12:58,080 --> 00:13:00,520 Speaker 13: In the wake of the Covenant shooting and the disclosure 246 00:13:00,600 --> 00:13:03,840 Speaker 13: that the Covenant shooter was trans, I was pulled into 247 00:13:03,840 --> 00:13:06,360 Speaker 13: a chat with other trans organizers and activists across the 248 00:13:06,360 --> 00:13:11,720 Speaker 13: state that were fearful of their lives. We identified threats 249 00:13:11,720 --> 00:13:14,480 Speaker 13: from white wing groups that they would show up at 250 00:13:14,520 --> 00:13:17,880 Speaker 13: these trans Day of Visibility events and threatening our trans kits, 251 00:13:18,679 --> 00:13:21,120 Speaker 13: and so I had a staffed moment where I decided, 252 00:13:21,240 --> 00:13:23,920 Speaker 13: we need more people talking about the protections for trans 253 00:13:24,000 --> 00:13:27,000 Speaker 13: kids in our trans communities at the legislature every day. 254 00:13:27,679 --> 00:13:29,600 Speaker 13: The first thing I would do is I want to 255 00:13:29,640 --> 00:13:34,920 Speaker 13: reiterate my first bill, which is to curb the expanded 256 00:13:35,120 --> 00:13:39,560 Speaker 13: state surveillance of our trans community. To the state is 257 00:13:39,600 --> 00:13:42,959 Speaker 13: going after they're criminalizing mutual aid funds. And for those 258 00:13:42,960 --> 00:13:45,120 Speaker 13: of you who don't work directly with mutual aid funds, 259 00:13:45,280 --> 00:13:48,880 Speaker 13: this is a primary monetary channel that a lot of 260 00:13:49,000 --> 00:13:52,280 Speaker 13: trans community members use to pay bills, and so the 261 00:13:52,320 --> 00:13:54,440 Speaker 13: state intends to fully go after that so that they 262 00:13:54,600 --> 00:13:58,680 Speaker 13: cut off any resources for trans folks. And third, every 263 00:13:58,760 --> 00:14:02,040 Speaker 13: legislative session, I've promise to carry a trans bill of riots. 264 00:14:02,080 --> 00:14:05,720 Speaker 5: So I mean, there is no accounting for the victims 265 00:14:05,720 --> 00:14:08,160 Speaker 5: in any of this. I mean the fact that she 266 00:14:08,480 --> 00:14:13,240 Speaker 5: is focused on the murderer as a means to push 267 00:14:13,240 --> 00:14:16,080 Speaker 5: her agenda tells you all that you need to know 268 00:14:16,440 --> 00:14:19,680 Speaker 5: about this psychoe. 269 00:14:19,800 --> 00:14:20,840 Speaker 2: What mean? 270 00:14:20,960 --> 00:14:22,360 Speaker 11: What does A mean? 271 00:14:22,880 --> 00:14:24,400 Speaker 3: There was another video going around. 272 00:14:24,400 --> 00:14:26,640 Speaker 5: I didn't grab the audio for this one, but there 273 00:14:26,680 --> 00:14:29,240 Speaker 5: was another video actually was an audio piece of I. 274 00:14:29,240 --> 00:14:32,080 Speaker 3: Don't know where this was pulled from. 275 00:14:32,120 --> 00:14:34,200 Speaker 5: I think was a podcast, but she was telling a 276 00:14:34,240 --> 00:14:37,440 Speaker 5: story of talking with her therapist and going on about 277 00:14:37,600 --> 00:14:41,160 Speaker 5: dreams that she has had wherein she didn't want to 278 00:14:41,200 --> 00:14:44,120 Speaker 5: be a mother, she just wanted power. 279 00:14:45,480 --> 00:14:45,760 Speaker 2: Again. 280 00:14:45,880 --> 00:14:49,560 Speaker 5: Hopefully she's going to lose soundly in this election, but 281 00:14:50,640 --> 00:14:54,560 Speaker 5: she is very much indicative of where the Democrat Party 282 00:14:54,640 --> 00:14:56,240 Speaker 5: is right now, let me share one more with you. 283 00:14:56,280 --> 00:14:57,040 Speaker 3: We'll get into more. 284 00:14:56,960 --> 00:15:00,560 Speaker 5: Of this after my conversation with Davide Gartnstein Ross coming 285 00:15:00,640 --> 00:15:04,360 Speaker 5: up in just a moment. You have Secretary of War 286 00:15:04,440 --> 00:15:12,239 Speaker 5: Pete Hegseth calling those members of Congress the seditious six, despicable, reckless, 287 00:15:12,360 --> 00:15:15,560 Speaker 5: and false in the claims that they made in the video. 288 00:15:16,560 --> 00:15:22,640 Speaker 5: But you also had Rubin Gego, congressman out of California, 289 00:15:23,640 --> 00:15:27,400 Speaker 5: a part of that whole group of individuals, shooting a 290 00:15:27,480 --> 00:15:32,080 Speaker 5: video in his car laying out the reason why he's 291 00:15:32,200 --> 00:15:36,560 Speaker 5: upset at the investigation potentially into Mark Kelly. And a 292 00:15:36,640 --> 00:15:40,360 Speaker 5: hat tip to Sam for editing this because it needed 293 00:15:40,400 --> 00:15:41,000 Speaker 5: a lot of it. 294 00:15:41,160 --> 00:15:44,640 Speaker 7: This is being insane. We shall point out how insane 295 00:15:44,680 --> 00:15:45,200 Speaker 7: this is. 296 00:15:45,360 --> 00:15:46,680 Speaker 3: Hey, this is Reben Diego. 297 00:15:46,720 --> 00:15:48,960 Speaker 7: I'm traveling through Arizona right now and I just see 298 00:15:49,000 --> 00:15:53,760 Speaker 7: them use that Department Defense is starting investigation against my 299 00:15:53,880 --> 00:15:57,640 Speaker 7: seat mate, Mark Kelly. This is being insane. We shall 300 00:15:57,880 --> 00:16:01,320 Speaker 7: point out how insane this is. And you know, these 301 00:16:01,320 --> 00:16:04,239 Speaker 7: guys are trying to say that they're not acting like fascists, 302 00:16:04,240 --> 00:16:07,880 Speaker 7: They're not trying to give as much power to this 303 00:16:08,000 --> 00:16:10,040 Speaker 7: president as a king. They should start to stop acting 304 00:16:10,120 --> 00:16:13,200 Speaker 7: like it. Mark Kelly's a patriot. There's no reason why 305 00:16:13,200 --> 00:16:15,640 Speaker 7: they're going after him. He was doing his duty and 306 00:16:15,720 --> 00:16:19,240 Speaker 7: just reminding people about their rights as service members. And 307 00:16:19,640 --> 00:16:23,960 Speaker 7: you know, Secretary heiseth all these guys, You guys, you're 308 00:16:23,960 --> 00:16:25,680 Speaker 7: not gonna be able to scare us. We have a 309 00:16:25,760 --> 00:16:28,040 Speaker 7: right to defend the Consutsition United States. We have a 310 00:16:28,120 --> 00:16:30,920 Speaker 7: right to tell other service members that they have a 311 00:16:31,040 --> 00:16:34,760 Speaker 7: right to ignore illegal orders. And you're not going to 312 00:16:34,800 --> 00:16:35,720 Speaker 7: be able to intimidate us. 313 00:16:36,520 --> 00:16:40,560 Speaker 5: There's no arguments there. He got into kings, he got 314 00:16:40,600 --> 00:16:44,040 Speaker 5: in fascists, but he didn't do a single thing to 315 00:16:44,160 --> 00:16:48,000 Speaker 5: explain his position. As a matter of fact, he went 316 00:16:48,120 --> 00:16:50,840 Speaker 5: so far to go and downplay what he was saying 317 00:16:50,880 --> 00:16:54,360 Speaker 5: of you know, it's just him passing on information. There's 318 00:16:54,360 --> 00:16:56,560 Speaker 5: nothing wrong with this. Well that's the case. And there 319 00:16:56,640 --> 00:17:02,560 Speaker 5: was no need to get six members of Congress draft 320 00:17:02,600 --> 00:17:06,280 Speaker 5: a script, coordinate the effort to put this video out 321 00:17:06,280 --> 00:17:08,239 Speaker 5: there if it wasn't that big of a deal, if 322 00:17:08,280 --> 00:17:12,960 Speaker 5: it was just common sense. But this is where the 323 00:17:12,960 --> 00:17:18,280 Speaker 5: party is right now. No arguments, nothing of substance in 324 00:17:18,359 --> 00:17:24,399 Speaker 5: terms of pushing back, just explitive leyden commentaries with the 325 00:17:24,600 --> 00:17:30,080 Speaker 5: typical tropes pointed at President Donald Trump and Republicans. Are 326 00:17:30,160 --> 00:17:32,160 Speaker 5: we you audio to Shriff Caroline Leve of the White 327 00:17:32,160 --> 00:17:34,840 Speaker 5: House Press Secretary regarding this issue again. We'll get to 328 00:17:34,920 --> 00:17:37,680 Speaker 5: that coming up after my conversation with Devid Gartenstein Ross. 329 00:17:37,720 --> 00:17:39,400 Speaker 3: If you have any questions for David. 330 00:17:39,160 --> 00:17:43,720 Speaker 5: Regarding artificial intelligence, leave them on the iHeartRadio app talkbacks. 331 00:17:43,720 --> 00:17:45,639 Speaker 5: We'll get to those in just a moment. A number 332 00:17:45,640 --> 00:17:49,840 Speaker 5: of different issues regarding Trump. According to a Washington Post article, 333 00:17:49,960 --> 00:17:53,359 Speaker 5: is there a rift between Trump and the MAGA bass 334 00:17:53,520 --> 00:17:57,360 Speaker 5: over AI as Trump signs an order launching what they're 335 00:17:57,359 --> 00:18:02,040 Speaker 5: saying is the Manhattan Project for Artificial intelligence. David Gartenstein Ross, 336 00:18:02,040 --> 00:18:05,520 Speaker 5: the CEO of Expert Theory, joins us next on Twinnesday's 337 00:18:05,520 --> 00:18:11,879 Speaker 5: News Talk Am eleven thirty and one to three five FM. 338 00:18:12,320 --> 00:18:15,200 Speaker 5: As we get ready to talk with David Gartenstein Ross, 339 00:18:15,280 --> 00:18:18,919 Speaker 5: the CEO of Expert Theory, I want to start here. 340 00:18:19,920 --> 00:18:23,800 Speaker 5: This would be Energy Secretary Chris Wright on Fox News 341 00:18:25,040 --> 00:18:29,120 Speaker 5: talking about President Donald Trump signing an executive order akin 342 00:18:29,240 --> 00:18:32,640 Speaker 5: to what they say is the Manhattan Project that will 343 00:18:32,640 --> 00:18:37,960 Speaker 5: deploy forty thousand United States scientists and engineers for the 344 00:18:38,160 --> 00:18:42,800 Speaker 5: rapid advancement of AI over our competitors. 345 00:18:42,800 --> 00:18:43,560 Speaker 3: With this pen. 346 00:18:43,840 --> 00:18:49,240 Speaker 14: Today President Trump signed an historic mission. This is reminiscent 347 00:18:49,359 --> 00:18:52,159 Speaker 14: of the Manhattan Project that brought World War Two to 348 00:18:52,240 --> 00:18:56,600 Speaker 14: an early and successful end, similar to the Apollo projects 349 00:18:56,640 --> 00:18:59,200 Speaker 14: that put a man on the Moon in nineteen sixty nine. 350 00:18:59,720 --> 00:19:02,560 Speaker 14: This is an all in national effort to take the 351 00:19:02,680 --> 00:19:06,920 Speaker 14: power of AI and pair it with the forty thousand 352 00:19:07,000 --> 00:19:11,640 Speaker 14: outstanding scientists and engineers at our national labs to use 353 00:19:11,720 --> 00:19:17,119 Speaker 14: the world's largest supercomputers to advance innovation and science, to 354 00:19:17,240 --> 00:19:22,320 Speaker 14: fix our rising energy costs, to give better economic opportunities 355 00:19:22,320 --> 00:19:25,840 Speaker 14: for our citizens, to make longer and help your lives possible. 356 00:19:26,240 --> 00:19:26,560 Speaker 11: Today. 357 00:19:26,600 --> 00:19:29,720 Speaker 14: Today was not incremental, Brett, it was transformative. 358 00:19:30,000 --> 00:19:33,280 Speaker 5: The project will partner researchers at each of the United 359 00:19:33,320 --> 00:19:39,200 Speaker 5: states seventeen national Laboratories, with businesses and academic research centers 360 00:19:39,240 --> 00:19:43,120 Speaker 5: to work on AI development and models. 361 00:19:43,280 --> 00:19:44,399 Speaker 3: Joining us now again. 362 00:19:44,640 --> 00:19:48,439 Speaker 5: CEO at Expert Theory David Gartzenstein Ross, David, Good morning, 363 00:19:48,440 --> 00:19:50,840 Speaker 5: and what are your thoughts on this executive order by 364 00:19:50,880 --> 00:20:02,960 Speaker 5: President Donald Trump. Oh, we're having audio problems currently. I'm 365 00:20:02,960 --> 00:20:04,480 Speaker 5: going to figure this out. So we've got to figure 366 00:20:04,520 --> 00:20:06,200 Speaker 5: this out, and okay, we'll look into it. 367 00:20:06,280 --> 00:20:06,600 Speaker 7: Right now. 368 00:20:06,760 --> 00:20:07,439 Speaker 2: I think you can hear me. 369 00:20:07,480 --> 00:20:09,480 Speaker 11: Now, John, there we go, There we go, go on, there 370 00:20:09,520 --> 00:20:11,640 Speaker 11: we go. It's good to be heard. Good morning, John, 371 00:20:11,680 --> 00:20:14,600 Speaker 11: it's great to hear you and great to be heard. 372 00:20:15,240 --> 00:20:18,560 Speaker 11: Apologies for the short audio problems. 373 00:20:18,800 --> 00:20:21,720 Speaker 5: But right maybe we'll tak Maybe we'll take care of 374 00:20:21,720 --> 00:20:23,040 Speaker 5: it via Trump's executive order. 375 00:20:23,960 --> 00:20:27,600 Speaker 11: Maybe so, maybe so, but I believe that however, you're 376 00:20:27,640 --> 00:20:32,719 Speaker 11: one hundred percent human, so you can't. This is true guarantee, 377 00:20:33,840 --> 00:20:38,600 Speaker 11: dum uh so. Look, it's it's a significant executive order. 378 00:20:39,920 --> 00:20:43,720 Speaker 11: A lot will come of this, Obviously, a lot of 379 00:20:43,760 --> 00:20:48,800 Speaker 11: thinking about AI today, with a growing divide between President 380 00:20:48,840 --> 00:20:52,400 Speaker 11: Trump and his base on artificial intelligence. Trump is all 381 00:20:52,440 --> 00:20:55,520 Speaker 11: in on the Manhattan Project for AI, which has the 382 00:20:55,680 --> 00:20:59,960 Speaker 11: which has a very cool name, Genesis Mission. 383 00:21:00,119 --> 00:21:02,960 Speaker 2: Yeah, that's like, it's very inspiring name. I like it. 384 00:21:03,920 --> 00:21:08,760 Speaker 11: And at the same time, you know, rising concerns about 385 00:21:08,760 --> 00:21:11,560 Speaker 11: the impact of AI and people's jobs, rising impact about 386 00:21:11,600 --> 00:21:14,280 Speaker 11: the impact or rise a concern about the impact of 387 00:21:14,320 --> 00:21:17,960 Speaker 11: AI on people's children. And in the big picture, I 388 00:21:17,960 --> 00:21:23,480 Speaker 11: think that there's very few strategic thinkers who have their 389 00:21:23,520 --> 00:21:27,600 Speaker 11: heads wrapped around AI and how this AI arms race 390 00:21:27,840 --> 00:21:32,600 Speaker 11: between the US and China plays out how you you know, 391 00:21:32,640 --> 00:21:36,119 Speaker 11: how you can contain the downside while capturing the upside. 392 00:21:36,400 --> 00:21:39,080 Speaker 11: These are all big, big questions that it seems like 393 00:21:39,680 --> 00:21:41,160 Speaker 11: there's very little good thinking about. 394 00:21:41,800 --> 00:21:44,320 Speaker 5: Yeah, let's a little bit of the order here. I 395 00:21:44,359 --> 00:21:47,199 Speaker 5: wanted to share with the audience. The Genesis Mission will 396 00:21:47,280 --> 00:21:52,320 Speaker 5: dramatically accelerate scientific discovery, strength and national security SCCUR, secure 397 00:21:52,440 --> 00:21:57,080 Speaker 5: energy dominance, enhance workforce productivity, and multiply the return on 398 00:21:57,160 --> 00:22:03,119 Speaker 5: taxpayer investment into research and development, thereby furthering America's technological 399 00:22:03,160 --> 00:22:07,440 Speaker 5: dominance and global strategic leadership, according to the order. Now 400 00:22:07,440 --> 00:22:13,320 Speaker 5: with that, David, unbeknownst to the listener, Bruce lets us 401 00:22:13,320 --> 00:22:15,440 Speaker 5: a talk back, and it's kind of along the same line. 402 00:22:15,440 --> 00:22:17,639 Speaker 5: So let's go ahead and get to the iHeartRadio app. 403 00:22:19,240 --> 00:22:21,120 Speaker 15: This is kind of an inside baseball thing, But it's 404 00:22:21,160 --> 00:22:24,239 Speaker 15: just wondering when Devide comes on Wall Street Journal ran 405 00:22:24,280 --> 00:22:26,720 Speaker 15: an article about a kind of a minority report guy 406 00:22:26,840 --> 00:22:30,280 Speaker 15: on AI saying that all this pursuit of a large 407 00:22:30,359 --> 00:22:33,919 Speaker 15: language model is the wrong way to go and that 408 00:22:34,040 --> 00:22:37,280 Speaker 15: need to support something called a world model instead. Just 409 00:22:37,280 --> 00:22:39,000 Speaker 15: wondering if he read the article and what he thought 410 00:22:39,000 --> 00:22:40,359 Speaker 15: of it, If he did are. 411 00:22:40,200 --> 00:22:41,360 Speaker 3: You familiar with that at all? 412 00:22:41,680 --> 00:22:45,560 Speaker 11: David Gartenstein Ross, I haven't read the Wall Street Journal article. 413 00:22:45,600 --> 00:22:48,840 Speaker 11: I do know different models of AI as I think 414 00:22:48,880 --> 00:22:51,240 Speaker 11: you know, John, Your listeners probably don't. I have been 415 00:22:52,119 --> 00:22:56,200 Speaker 11: working on AI in a variety of ways for around 416 00:22:56,240 --> 00:23:00,240 Speaker 11: a decade to working on actually building. 417 00:22:59,920 --> 00:23:01,000 Speaker 2: Up AI models. 418 00:23:01,560 --> 00:23:03,720 Speaker 11: If you look go back to twenty seventeen, I was 419 00:23:03,760 --> 00:23:08,600 Speaker 11: working on a model to predict the prevalence of terrorist 420 00:23:08,600 --> 00:23:11,879 Speaker 11: attacks in certain geographies, and for that we used a 421 00:23:11,920 --> 00:23:15,560 Speaker 11: completely different model than the current large language models. That 422 00:23:15,680 --> 00:23:19,320 Speaker 11: was called recurrent neural networks or RNNs, which today is 423 00:23:19,359 --> 00:23:21,879 Speaker 11: regarded as a little bit of a backwater, but at 424 00:23:21,880 --> 00:23:24,760 Speaker 11: the time was very much cutting edge. What I'll say 425 00:23:24,880 --> 00:23:27,640 Speaker 11: is that there are other models that people will look 426 00:23:27,680 --> 00:23:30,640 Speaker 11: to and we'll say are better than large language models. 427 00:23:31,960 --> 00:23:35,280 Speaker 11: Right now, obviously there's a lot of movement forward with 428 00:23:35,359 --> 00:23:39,440 Speaker 11: large language models, So overall, I think that there certainly 429 00:23:39,480 --> 00:23:42,159 Speaker 11: are other models that should be used. 430 00:23:42,560 --> 00:23:44,680 Speaker 2: But given all the breakthroughs in LMS. 431 00:23:46,160 --> 00:23:48,960 Speaker 11: In answer to Bruce's question, I don't think it's right 432 00:23:49,280 --> 00:23:52,320 Speaker 11: to say that the focus on LMS is misplaced. It's 433 00:23:52,359 --> 00:23:54,800 Speaker 11: clear that there are breakthroughs here and that we're clearly 434 00:23:54,800 --> 00:23:59,040 Speaker 11: scratching the surface, and a generation down the road there 435 00:23:59,080 --> 00:24:02,160 Speaker 11: may be a model that we utilize that is either 436 00:24:02,240 --> 00:24:06,119 Speaker 11: better or that is combined with lms to make lms 437 00:24:06,160 --> 00:24:07,960 Speaker 11: even better, but we're not there today. 438 00:24:08,080 --> 00:24:10,879 Speaker 5: Well, that was my next question would be, can you 439 00:24:11,200 --> 00:24:16,680 Speaker 5: in vision a scenario wherein we do not have all 440 00:24:16,760 --> 00:24:21,840 Speaker 5: of these separate large language models and basically we just 441 00:24:21,920 --> 00:24:26,000 Speaker 5: have one, you know, one AI large language model to 442 00:24:26,200 --> 00:24:29,280 Speaker 5: rule them all that well, that we all utilize, or 443 00:24:29,320 --> 00:24:31,680 Speaker 5: maybe you know, I guess maybe is a more akin 444 00:24:31,760 --> 00:24:34,720 Speaker 5: to like a Google where most people just use this 445 00:24:34,800 --> 00:24:37,840 Speaker 5: particular one so it becomes the dominant one among others. 446 00:24:37,920 --> 00:24:40,880 Speaker 5: But I'm curious, you know, there would be just one 447 00:24:41,000 --> 00:24:42,800 Speaker 5: AI model that everybody would be using. 448 00:24:44,640 --> 00:24:45,400 Speaker 2: It's possible. 449 00:24:46,040 --> 00:24:49,879 Speaker 11: So to to get back to Bruce's question, the person 450 00:24:49,880 --> 00:24:51,640 Speaker 11: of being quoted in the Wall Street Journal is named 451 00:24:51,680 --> 00:24:56,479 Speaker 11: yan Lukun. This is an AI engineer and the argument 452 00:24:56,560 --> 00:24:59,240 Speaker 11: being made and again like I only skimmed the article, 453 00:24:59,680 --> 00:25:01,600 Speaker 11: but the the argument that he makes is that there's 454 00:25:01,600 --> 00:25:05,159 Speaker 11: a more comprehensive model called a world model. It's not 455 00:25:05,240 --> 00:25:10,600 Speaker 11: about Lacuda is not arguing that there are better large 456 00:25:10,640 --> 00:25:14,159 Speaker 11: language models than our current lms, but that there is 457 00:25:14,200 --> 00:25:18,440 Speaker 11: a more comprehensive AI world model that we can use 458 00:25:18,520 --> 00:25:21,679 Speaker 11: which gives AI a more grounded and causal understanding with 459 00:25:21,760 --> 00:25:24,800 Speaker 11: the world as opposed to LMS, which understand the world 460 00:25:24,880 --> 00:25:28,639 Speaker 11: by understanding language. Ultimately, like, there's a lot of different 461 00:25:28,640 --> 00:25:31,399 Speaker 11: things that go into the world model versus the LM model. 462 00:25:32,000 --> 00:25:33,520 Speaker 11: But going back to what I was talking about before, 463 00:25:33,560 --> 00:25:38,439 Speaker 11: to illustrate the difference between one LM versus LMS in 464 00:25:38,520 --> 00:25:42,240 Speaker 11: opposition to a world model, what recurrent neural networks tried 465 00:25:42,280 --> 00:25:46,760 Speaker 11: to do through artificial intelligence is mimic the pathways that 466 00:25:46,800 --> 00:25:49,760 Speaker 11: the human brain takes, right Like, in other words, it 467 00:25:49,840 --> 00:25:52,200 Speaker 11: wasn't trying to model language. It was trying to model 468 00:25:52,240 --> 00:25:55,800 Speaker 11: out the brain, which is really interesting and it's a 469 00:25:55,880 --> 00:25:59,440 Speaker 11: little bit inconsistent with using an LM. They're just different 470 00:25:59,560 --> 00:26:03,000 Speaker 11: models for how the artificial intelligence thinks. And so I 471 00:26:03,000 --> 00:26:05,520 Speaker 11: think that's what lacun is talking about. That being said, 472 00:26:05,840 --> 00:26:07,560 Speaker 11: what I do think we could have in the future 473 00:26:07,800 --> 00:26:10,439 Speaker 11: is integration of different models for logic or how to 474 00:26:10,520 --> 00:26:13,639 Speaker 11: understand the world with large language models. In other words, 475 00:26:13,640 --> 00:26:16,760 Speaker 11: the large language model could I realized by the way, 476 00:26:16,800 --> 00:26:19,280 Speaker 11: this is like way over the technical for your show. 477 00:26:19,320 --> 00:26:20,440 Speaker 2: So I apologize for that. 478 00:26:21,000 --> 00:26:22,520 Speaker 11: But what we could have as a situation where the 479 00:26:22,560 --> 00:26:26,240 Speaker 11: large language model provides the ability to think, the ability 480 00:26:26,280 --> 00:26:29,280 Speaker 11: to chat, while you have another model, such as a 481 00:26:29,400 --> 00:26:33,720 Speaker 11: world model, which provides it the ability to understand. Lakum's 482 00:26:33,720 --> 00:26:36,040 Speaker 11: big problem and so probably we all have, is that 483 00:26:36,400 --> 00:26:39,040 Speaker 11: llms have some understanding of the world. I think they 484 00:26:39,080 --> 00:26:41,280 Speaker 11: do yield insight, and I would argue that they have 485 00:26:41,359 --> 00:26:45,520 Speaker 11: a kind of intelligence. But everyone could point to areas 486 00:26:45,520 --> 00:26:48,399 Speaker 11: where lms just get things wrong or where you have 487 00:26:48,480 --> 00:26:50,920 Speaker 11: to correct them multiple times before they start to finally 488 00:26:51,320 --> 00:26:54,040 Speaker 11: understand the world. That's kind of this deep dive into 489 00:26:54,080 --> 00:26:55,719 Speaker 11: the talkback that Bruce sent to you. 490 00:26:56,359 --> 00:27:01,280 Speaker 5: So with Trump and his Manhattan project, the Genesis mission, 491 00:27:01,320 --> 00:27:05,800 Speaker 5: this is being widely reported. What's not getting covered very 492 00:27:05,840 --> 00:27:09,640 Speaker 5: widely is there's a potential for some risks going on here. 493 00:27:09,680 --> 00:27:11,320 Speaker 5: And I don't know how much stock I put into 494 00:27:11,320 --> 00:27:13,760 Speaker 5: this Washington Post report. We'll talk about it in just 495 00:27:13,800 --> 00:27:16,320 Speaker 5: a minute. But out of the Hill, there was also 496 00:27:16,359 --> 00:27:20,359 Speaker 5: another report where Trump was considering an executive order to 497 00:27:20,600 --> 00:27:24,480 Speaker 5: block state AI laws as the White House pushes for 498 00:27:24,560 --> 00:27:28,080 Speaker 5: a federal framework on the technology. Now, there could be 499 00:27:28,080 --> 00:27:32,160 Speaker 5: a possibility that the announcement of the Genesis Mission might 500 00:27:32,160 --> 00:27:35,240 Speaker 5: include this here. I haven't done my own deep dive 501 00:27:35,480 --> 00:27:38,120 Speaker 5: to find that out or not, but from the reporting 502 00:27:38,160 --> 00:27:40,600 Speaker 5: on the Hill, they say this order would direct Attorney 503 00:27:40,600 --> 00:27:45,359 Speaker 5: General Pambondi to establish a task force focused on challenging 504 00:27:45,680 --> 00:27:50,400 Speaker 5: state AI measures and seek to restrict some federal fundings 505 00:27:50,400 --> 00:27:54,920 Speaker 5: to states who pass laws that are deemed erroneous, according 506 00:27:54,920 --> 00:27:59,199 Speaker 5: to a draft obtained by The Hill and in the 507 00:27:59,320 --> 00:28:01,480 Speaker 5: story and it's well if it talks about how the 508 00:28:01,520 --> 00:28:04,960 Speaker 5: President and like minded Republicans have strongly opposed to state 509 00:28:05,000 --> 00:28:09,680 Speaker 5: proposals meant to address the technological and societal risks of AI, 510 00:28:09,840 --> 00:28:14,199 Speaker 5: particularly those that have been enacted by California Governor Gavin Newsom. 511 00:28:14,240 --> 00:28:16,760 Speaker 5: There's obviously a political component in all of this, but 512 00:28:17,359 --> 00:28:20,399 Speaker 5: just your overall thoughts on the federal government reaching out 513 00:28:20,440 --> 00:28:23,400 Speaker 5: to the states and saying we don't want you blocking 514 00:28:24,000 --> 00:28:27,600 Speaker 5: these potential in their mind safeguards relating to the advancement 515 00:28:27,600 --> 00:28:28,120 Speaker 5: of AI. 516 00:28:28,040 --> 00:28:33,199 Speaker 11: Technology, it's super interesting. I don't have a problem with 517 00:28:33,280 --> 00:28:36,400 Speaker 11: the executive order. I think it you know, a lot 518 00:28:36,400 --> 00:28:39,760 Speaker 11: of it would come down to the implementation. But to 519 00:28:40,200 --> 00:28:43,920 Speaker 11: get back to the keyword here, it's it's onerous, right, 520 00:28:44,480 --> 00:28:47,800 Speaker 11: It's that the task force that the Attorney General would 521 00:28:47,800 --> 00:28:51,440 Speaker 11: set up, Pam BONDI would challenge state AI measures and 522 00:28:51,480 --> 00:28:54,080 Speaker 11: restrict some federal funding the states that pass laws that 523 00:28:54,120 --> 00:28:57,400 Speaker 11: are deemed onerous. When I look at that, and I 524 00:28:57,440 --> 00:28:59,600 Speaker 11: look at the kind of laws that they would challenge, 525 00:28:59,640 --> 00:29:02,680 Speaker 11: it's not some of the laws that and so both 526 00:29:02,720 --> 00:29:04,640 Speaker 11: you and I are looking at an article on this in 527 00:29:04,680 --> 00:29:09,880 Speaker 11: the Hill about Trump's proposed or the executive order that 528 00:29:09,920 --> 00:29:12,760 Speaker 11: he is considering. And one of the things that's raised 529 00:29:12,800 --> 00:29:17,600 Speaker 11: in this regard has been different state level bills that 530 00:29:18,360 --> 00:29:23,280 Speaker 11: seek to protect children, you know, AI toys for example. 531 00:29:23,880 --> 00:29:26,080 Speaker 11: There's a number of articles on this have been really 532 00:29:26,120 --> 00:29:28,520 Speaker 11: creepy with children speak. 533 00:29:29,200 --> 00:29:31,840 Speaker 2: Yeah yeah, I mean spoiler alert. 534 00:29:32,720 --> 00:29:36,120 Speaker 11: Do not yet your chilled child an AI toy for 535 00:29:36,200 --> 00:29:39,200 Speaker 11: Christmas if you have a you know, a child who's 536 00:29:39,440 --> 00:29:43,520 Speaker 11: between ages three and twelve. No, no, no, not a 537 00:29:43,560 --> 00:29:47,440 Speaker 11: good Christmas present. But you know, when we look at 538 00:29:47,680 --> 00:29:51,160 Speaker 11: laws that are designed to create child safety, I don't 539 00:29:51,160 --> 00:29:53,200 Speaker 11: think those are the kind of laws that will be challenged. 540 00:29:53,440 --> 00:29:56,520 Speaker 11: And I'd much rather see those laws addressed to the 541 00:29:56,560 --> 00:30:00,280 Speaker 11: federal framework anyway, rather than having disparate state laws. What 542 00:30:01,200 --> 00:30:04,200 Speaker 11: the Executive Order points to is something that has long 543 00:30:04,320 --> 00:30:08,720 Speaker 11: been true that when you have a regulatory framework with 544 00:30:08,840 --> 00:30:12,600 Speaker 11: multiple states and very different policies from each state, it 545 00:30:12,640 --> 00:30:15,480 Speaker 11: creates a system where it's almost impossible for an AI 546 00:30:15,600 --> 00:30:18,280 Speaker 11: company to exist in a national marketplace. 547 00:30:18,680 --> 00:30:18,840 Speaker 7: Right. 548 00:30:18,880 --> 00:30:20,800 Speaker 11: One of the things that we tend to see as 549 00:30:20,800 --> 00:30:25,320 Speaker 11: advantageous commercially is when you have a certain set of 550 00:30:25,360 --> 00:30:28,360 Speaker 11: standards that you have to satisfy to get into all 551 00:30:28,400 --> 00:30:31,800 Speaker 11: fifty states as markets. If all fifty states are different markets, 552 00:30:31,800 --> 00:30:34,880 Speaker 11: it's really hard for an AI company to do national business. 553 00:30:35,120 --> 00:30:37,640 Speaker 11: So overall, when we look at the importance of AI 554 00:30:38,160 --> 00:30:39,600 Speaker 11: as a commercial sector and. 555 00:30:39,560 --> 00:30:42,320 Speaker 2: The AI arms race with China, I do think. 556 00:30:42,080 --> 00:30:46,000 Speaker 11: That what Trump is moulling makes a lot of sense 557 00:30:46,400 --> 00:30:50,719 Speaker 11: to try to limit the number of disparate regulations that 558 00:30:50,840 --> 00:30:53,600 Speaker 11: commercial AI companies have to deal with at the state level. 559 00:30:54,080 --> 00:30:57,920 Speaker 5: Talking with David Gartenstein, Ross are AI analyst and experts, 560 00:30:58,040 --> 00:31:01,760 Speaker 5: I's the CEO at Expert Theory, and you kind of 561 00:31:01,760 --> 00:31:05,600 Speaker 5: answer my question on the subsequent article in the Washington 562 00:31:05,680 --> 00:31:09,760 Speaker 5: Post where there are some reports coming out of DC 563 00:31:10,000 --> 00:31:13,840 Speaker 5: that there is a rift between some Republicans and the 564 00:31:13,840 --> 00:31:17,560 Speaker 5: Trump administration over what we were just discussing. My question 565 00:31:17,680 --> 00:31:20,800 Speaker 5: to you, Davide was going to be, you know, are 566 00:31:20,840 --> 00:31:24,560 Speaker 5: we balancing between the technological advancements and the potential need 567 00:31:24,600 --> 00:31:27,200 Speaker 5: for safeguards? And if I'm hearing you correctly, it sounds 568 00:31:27,280 --> 00:31:29,200 Speaker 5: like that we are. It sounds like we're doing that, 569 00:31:29,320 --> 00:31:31,720 Speaker 5: especially when you keyed in on looking at the more 570 00:31:31,760 --> 00:31:34,520 Speaker 5: onerous aspects of what states are trying to do versus 571 00:31:34,880 --> 00:31:37,479 Speaker 5: making sure that we were not putting products out there 572 00:31:37,480 --> 00:31:39,120 Speaker 5: that are going to put our children at risk. It 573 00:31:39,120 --> 00:31:41,600 Speaker 5: seems like we've got a bit of a balanced approach, 574 00:31:41,680 --> 00:31:44,880 Speaker 5: even though there's conflict involved in how we're achieving that 575 00:31:44,920 --> 00:31:46,720 Speaker 5: balance well, or. 576 00:31:46,680 --> 00:31:48,760 Speaker 2: To be clear, I'm not even argue that we have 577 00:31:48,800 --> 00:31:49,680 Speaker 2: a balanced approach. 578 00:31:50,160 --> 00:31:53,000 Speaker 11: Just when it comes to that executive order to challenge 579 00:31:53,040 --> 00:31:55,240 Speaker 11: state laws that are too onerous, I think this is 580 00:31:55,240 --> 00:31:59,320 Speaker 11: something like that is helpful. I think that states have 581 00:31:59,480 --> 00:32:04,360 Speaker 11: the tendance two, you know, especially with this new frontier, 582 00:32:04,920 --> 00:32:08,040 Speaker 11: to create laws that can stifle innovation. When you look 583 00:32:08,080 --> 00:32:13,600 Speaker 11: at all fifty states and they're differing regulations that they 584 00:32:13,600 --> 00:32:17,200 Speaker 11: put into place with respective balance, that's a much larger question, 585 00:32:17,440 --> 00:32:21,280 Speaker 11: right Like we're the Trump administrations all in on AI. 586 00:32:21,920 --> 00:32:25,920 Speaker 11: There's a lot of downsides. You know, AI companies, policy makers, 587 00:32:26,040 --> 00:32:29,360 Speaker 11: others are really only getting their heads wrapped around what 588 00:32:29,440 --> 00:32:33,640 Speaker 11: the downsides of ar of AI are as. I think, 589 00:32:34,040 --> 00:32:36,160 Speaker 11: as you know, and so your listeners will recall I 590 00:32:36,200 --> 00:32:40,560 Speaker 11: testified before Congress on AI and it's used by terrorist 591 00:32:40,640 --> 00:32:44,320 Speaker 11: groups earlier this year. And you know, this is an 592 00:32:44,360 --> 00:32:48,880 Speaker 11: area where even policy makers who are really interested in 593 00:32:48,880 --> 00:32:54,240 Speaker 11: the issue set like the expertise at a policy making 594 00:32:54,360 --> 00:32:57,400 Speaker 11: level just doesn't really exist. If you look at who 595 00:32:57,960 --> 00:33:01,880 Speaker 11: is heading up the White Houses policies on AI, they're 596 00:33:01,920 --> 00:33:04,800 Speaker 11: AI business bend. They're going to fall on the pro 597 00:33:04,880 --> 00:33:08,760 Speaker 11: AI side of that divide. So, to be very clear, 598 00:33:08,920 --> 00:33:12,920 Speaker 11: I don't think we have balance. And how to get 599 00:33:12,960 --> 00:33:16,040 Speaker 11: balanced is a really interesting question. And it's one of 600 00:33:16,080 --> 00:33:21,479 Speaker 11: those where technology in this area has far outstripped our 601 00:33:21,520 --> 00:33:26,600 Speaker 11: ability to legislate or regulate or think through implications. And 602 00:33:26,640 --> 00:33:29,800 Speaker 11: it's moving really quickly. When we look back on this period, 603 00:33:29,840 --> 00:33:31,320 Speaker 11: we won't regard it as a balanced period. 604 00:33:32,120 --> 00:33:34,520 Speaker 5: Well, and it's interesting you say that too, because as 605 00:33:34,560 --> 00:33:36,800 Speaker 5: we talk about the concerns that are growing among these 606 00:33:36,840 --> 00:33:43,240 Speaker 5: consumer advocacy groups and the children's toys being released, the 607 00:33:43,280 --> 00:33:47,000 Speaker 5: fact is these toys are being released and they're already 608 00:33:47,040 --> 00:33:49,520 Speaker 5: out there for children to go on access, so there 609 00:33:49,560 --> 00:33:51,720 Speaker 5: hasn't been the safeguards put in place yet in Devid. 610 00:33:51,840 --> 00:33:55,480 Speaker 5: Just as as an example, less on a children's toy, 611 00:33:55,520 --> 00:33:57,080 Speaker 5: even though it kind of is. I was watching a 612 00:33:57,160 --> 00:33:59,680 Speaker 5: video montage and I had never seen this before, but 613 00:33:59,720 --> 00:34:03,240 Speaker 5: it was a tiny almost look like a I guess 614 00:34:03,240 --> 00:34:04,640 Speaker 5: the best way I could describe it to be like 615 00:34:04,680 --> 00:34:08,040 Speaker 5: a Ferbie size the Ferbies, and it was it was 616 00:34:08,560 --> 00:34:13,160 Speaker 5: a little like AI, you know, friendly looking AI alien 617 00:34:13,960 --> 00:34:16,480 Speaker 5: and you walk up to it and it would recognize 618 00:34:16,480 --> 00:34:18,120 Speaker 5: that you're standing in front of it. It would say, 619 00:34:18,320 --> 00:34:20,400 Speaker 5: speak a phrase to me, and I will create a 620 00:34:20,440 --> 00:34:21,000 Speaker 5: song for you. 621 00:34:22,680 --> 00:34:24,000 Speaker 3: I mean, the jokes right themselves. 622 00:34:24,040 --> 00:34:26,680 Speaker 5: The video montage was various people that were going and 623 00:34:26,719 --> 00:34:31,080 Speaker 5: doing every single imaginable, ridiculous and offensive thing they possibly 624 00:34:31,080 --> 00:34:33,719 Speaker 5: could and getting every single one of these toys to 625 00:34:33,960 --> 00:34:36,680 Speaker 5: all go and create songs that are playing inside of 626 00:34:36,719 --> 00:34:37,560 Speaker 5: the store. 627 00:34:37,640 --> 00:34:39,040 Speaker 3: Now that's more on a comical level. 628 00:34:39,040 --> 00:34:41,440 Speaker 5: But what we're talking about here are these AI embedded 629 00:34:41,480 --> 00:34:44,839 Speaker 5: toys that children can have like Teddy Bears, wherein they 630 00:34:44,920 --> 00:34:49,719 Speaker 5: find out how to light matches or explanations on adult activities, 631 00:34:49,800 --> 00:34:52,799 Speaker 5: and we don't have any regulations in place keeping these 632 00:34:52,800 --> 00:34:55,120 Speaker 5: toys from heading to market. It's one of the few 633 00:34:55,160 --> 00:34:57,600 Speaker 5: times where I actually agree with these advocacy groups and 634 00:34:57,640 --> 00:35:00,920 Speaker 5: getting out ahead warning parents, Hey, don't purchase these for 635 00:35:00,960 --> 00:35:03,200 Speaker 5: your for your kids because you simply don't know what 636 00:35:03,239 --> 00:35:07,799 Speaker 5: they're gonna have access to. Yeah, I mean, I know 637 00:35:07,840 --> 00:35:08,520 Speaker 5: a lot to unpack. 638 00:35:09,239 --> 00:35:12,799 Speaker 11: No, it's I'm not even laughing at the question, right, 639 00:35:12,880 --> 00:35:16,680 Speaker 11: It's it's more just the utter idiocy of having these 640 00:35:16,760 --> 00:35:20,440 Speaker 11: AI toys. Right Like, you understand the thousand things that 641 00:35:20,480 --> 00:35:23,920 Speaker 11: are gonna go wrong, and the thousand like humans are 642 00:35:23,960 --> 00:35:29,759 Speaker 11: not by their nature, holy benign creatures. Right, tell me 643 00:35:29,800 --> 00:35:32,520 Speaker 11: a phrase and I'll make you a song. Yeah, everyone 644 00:35:32,600 --> 00:35:36,200 Speaker 11: understands where that's gonna go. Right, Like, at the end 645 00:35:36,239 --> 00:35:37,960 Speaker 11: of the day, even if you try to put safeguards 646 00:35:38,000 --> 00:35:42,520 Speaker 11: in place for like toys talking to children about explicit 647 00:35:42,719 --> 00:35:45,160 Speaker 11: sexually explicit topics, and that's one of the issues that 648 00:35:45,160 --> 00:35:48,399 Speaker 11: have come up with these toys, there's always a workaround, right, 649 00:35:48,480 --> 00:35:51,359 Speaker 11: Like AI is like in part large language models are 650 00:35:51,360 --> 00:35:56,960 Speaker 11: logic models, and if for most AIS, I haven't spent 651 00:35:57,040 --> 00:36:00,080 Speaker 11: time on like the Chinese large language models for a 652 00:36:00,200 --> 00:36:03,360 Speaker 11: variety of reasons, but like for most AIS. If you 653 00:36:03,400 --> 00:36:06,000 Speaker 11: ask about something and it says it can't go there, 654 00:36:06,480 --> 00:36:10,440 Speaker 11: and you keep talking, there's a workaround, right, Like, at 655 00:36:10,480 --> 00:36:11,880 Speaker 11: the end of the day, somebody who wants to talk 656 00:36:11,920 --> 00:36:14,160 Speaker 11: about with an AI about something is going to be 657 00:36:14,200 --> 00:36:20,600 Speaker 11: able to do so unless you are really, really good 658 00:36:20,680 --> 00:36:24,720 Speaker 11: and confident in your ability. Like the damage that AI 659 00:36:25,360 --> 00:36:31,000 Speaker 11: has done to children already, including you know people, you know, 660 00:36:31,080 --> 00:36:34,320 Speaker 11: kids are using AI as their therapist, as their best friend. 661 00:36:35,680 --> 00:36:38,480 Speaker 11: You know, there's been there's one case with a suicide 662 00:36:38,600 --> 00:36:43,640 Speaker 11: where like there are horrible things that character AI ended 663 00:36:43,719 --> 00:36:47,080 Speaker 11: up saying to this child, Like you know, it's just 664 00:36:47,680 --> 00:36:51,640 Speaker 11: the amount of harm already is off the charts, right, 665 00:36:51,680 --> 00:36:54,160 Speaker 11: And that's where we get back to that there's not balance, 666 00:36:54,800 --> 00:36:58,680 Speaker 11: Like I agree with with the federal government trying to 667 00:36:58,719 --> 00:37:03,160 Speaker 11: override and not have fifty different state regulatory frameworks. But 668 00:37:03,360 --> 00:37:07,520 Speaker 11: right now we're plunging ahead and there are you know, 669 00:37:08,000 --> 00:37:12,239 Speaker 11: AI is doing damage and that's gonna that's going to accelerate. 670 00:37:12,800 --> 00:37:18,920 Speaker 11: So we're at this point where everyone's reacting in various ways. 671 00:37:19,600 --> 00:37:23,080 Speaker 11: There's a strategy to accelerate AI. There is no real 672 00:37:23,120 --> 00:37:27,160 Speaker 11: strategy to deal with the harms, and that's where I 673 00:37:27,200 --> 00:37:30,600 Speaker 11: think that both President Trump has a point and his 674 00:37:30,680 --> 00:37:35,960 Speaker 11: base certainly has a point about how we're pledging ahead 675 00:37:36,640 --> 00:37:39,680 Speaker 11: and pledging ahead in a way that will help us business, 676 00:37:39,680 --> 00:37:44,760 Speaker 11: which I think is generally good. But man, these harms 677 00:37:44,760 --> 00:37:47,600 Speaker 11: are happening. Yeah, we need to deal with them. 678 00:37:48,160 --> 00:37:52,560 Speaker 5: David Gartenstein, Ross, CEO at Expert Theory, as always, thank 679 00:37:52,600 --> 00:37:55,400 Speaker 5: you so much for the time this morning. Let's do 680 00:37:55,480 --> 00:37:57,880 Speaker 5: it again soon and I hope you and your family 681 00:37:58,000 --> 00:38:00,360 Speaker 5: all have a fantastic thing Thanksgiving. 682 00:38:00,360 --> 00:38:01,279 Speaker 3: Thanks so much for coming on. 683 00:38:01,200 --> 00:38:03,600 Speaker 2: This morning to be likewise, John, Happy Thanksgiving to you 684 00:38:03,640 --> 00:38:04,240 Speaker 2: and your listeners. 685 00:38:06,520 --> 00:38:11,719 Speaker 10: Hey John, with DGR talking about LM's and RNMS, I 686 00:38:11,760 --> 00:38:17,200 Speaker 10: have only thinking about Good morning Vietnam and how we're 687 00:38:17,239 --> 00:38:20,880 Speaker 10: all going to end up in KP when the VP 688 00:38:23,680 --> 00:38:24,840 Speaker 10: shows up for his VIP. 689 00:38:25,000 --> 00:38:26,200 Speaker 3: They got there, There we go. 690 00:38:26,680 --> 00:38:29,440 Speaker 5: Thank you for the talkback from the iHeartRadio Radio app. 691 00:38:29,480 --> 00:38:30,839 Speaker 5: We'll get to more of those coming up on Twin 692 00:38:30,880 --> 00:38:33,879 Speaker 5: Cities News Talk, including revisiting in a few of those 693 00:38:33,880 --> 00:38:36,880 Speaker 5: comments rolled in that we'll get back to. Hegseth coining 694 00:38:36,880 --> 00:38:40,440 Speaker 5: a new nickname for the Democrats pushing for military insurrection. 695 00:38:40,640 --> 00:38:45,080 Speaker 5: Any Dinah moves ahead and unveils their proposed city ordinance 696 00:38:45,480 --> 00:38:49,680 Speaker 5: that would ban many firearms and certain gun magazines. Are 697 00:38:49,719 --> 00:38:53,160 Speaker 5: they poised for a lawsuit from the Minnesota gun Owner's Caucus. 698 00:38:53,200 --> 00:38:55,359 Speaker 5: I will tell you next on Twin Cities News Talk 699 00:38:55,400 --> 00:38:57,480 Speaker 5: AM eleven thirty and one oh three five FM.