1 00:00:03,440 --> 00:00:05,280 Speaker 1: Well, our national nightmare is over. 2 00:00:06,720 --> 00:00:12,280 Speaker 2: Maybe also depends on whether or not you thought it 3 00:00:12,360 --> 00:00:16,760 Speaker 2: was a nightmare. Two I suppose as Senate Democrats vote 4 00:00:16,800 --> 00:00:20,680 Speaker 2: to end the forty one day Schumer shut down. Not done, though, 5 00:00:20,720 --> 00:00:23,840 Speaker 2: it still has to go back to the House and 6 00:00:23,880 --> 00:00:26,760 Speaker 2: then come back again. I'll break down all of the 7 00:00:26,800 --> 00:00:30,640 Speaker 2: details coming up shortly here on Twin Cities News Talk 8 00:00:30,680 --> 00:00:33,680 Speaker 2: at AM eleven thirty one oh three five FM from 9 00:00:33,760 --> 00:00:37,440 Speaker 2: the six five to one Carpet plus Next Day Install Studios. 10 00:00:38,040 --> 00:00:40,040 Speaker 2: My name is John Justice, and I'm glad you're with 11 00:00:40,120 --> 00:00:43,040 Speaker 2: us for a Tuesday morning next door and the master 12 00:00:43,120 --> 00:00:46,159 Speaker 2: control booth is Sam on this Veteran's Day. 13 00:00:46,159 --> 00:00:47,600 Speaker 1: Good morning Sam, Good morning John. 14 00:00:48,240 --> 00:00:52,599 Speaker 2: We're gonna have us speaking of veterans, the Senate candidate 15 00:00:52,640 --> 00:00:57,240 Speaker 2: Adam Schwarzy, Marine Corps veteran, will be joining us in 16 00:00:57,280 --> 00:01:01,320 Speaker 2: studio to talk about his campaign right around at eight 17 00:01:01,400 --> 00:01:05,760 Speaker 2: thirty this morning. Congressman Tom Tiffany also running for governor 18 00:01:05,800 --> 00:01:06,600 Speaker 2: in Wisconsin. 19 00:01:06,840 --> 00:01:09,679 Speaker 1: He's actually in the state, and I thought that. 20 00:01:09,640 --> 00:01:11,240 Speaker 2: We were going to be able to have him in studio, 21 00:01:11,880 --> 00:01:13,840 Speaker 2: but unfortunately he will not be able to make it, 22 00:01:14,000 --> 00:01:16,640 Speaker 2: but he will be calling us. Coming up again this 23 00:01:16,760 --> 00:01:20,480 Speaker 2: morning at eight thirty and David garten Stein Ross. We 24 00:01:20,520 --> 00:01:22,960 Speaker 2: will break away from the news of the day, although 25 00:01:23,000 --> 00:01:25,399 Speaker 2: a couple of the items that we do have to 26 00:01:25,480 --> 00:01:29,080 Speaker 2: talk about with a David will be covered when we 27 00:01:29,120 --> 00:01:33,759 Speaker 2: get into this week's AI discussion with our AI analyst 28 00:01:34,360 --> 00:01:37,440 Speaker 2: and CEO at Expert Theory and David garten Stein Ross. 29 00:01:37,680 --> 00:01:38,920 Speaker 1: That'll happen at six thirty. 30 00:01:38,959 --> 00:01:43,080 Speaker 2: If you have any questions for David, you can get 31 00:01:43,120 --> 00:01:46,520 Speaker 2: those into the iHeart or radio app brought to you 32 00:01:46,560 --> 00:01:49,360 Speaker 2: by Lyndahl Realty. The talkbacks are so we'll get to 33 00:01:49,360 --> 00:01:51,760 Speaker 2: those two Dav'd when he joins us again, coming up 34 00:01:51,800 --> 00:01:54,240 Speaker 2: at seven thirty this morning. The Senate did pass a 35 00:01:54,280 --> 00:01:58,760 Speaker 2: bipartisan agreement last night to reopen the government, which, if 36 00:01:58,760 --> 00:02:01,440 Speaker 2: it passes the House as expected. 37 00:02:01,880 --> 00:02:04,680 Speaker 1: I would be so sure about that would bring an. 38 00:02:04,720 --> 00:02:08,639 Speaker 2: End to the longest to shutdown in the nation's history. 39 00:02:08,760 --> 00:02:12,919 Speaker 2: As the shutdown reached to day forty one, lawmakers passed 40 00:02:12,919 --> 00:02:19,200 Speaker 2: a final package, including a continuing resolution until January thirtieth, 41 00:02:19,840 --> 00:02:24,480 Speaker 2: and three bipartisan full year appropriations. 42 00:02:24,200 --> 00:02:26,399 Speaker 1: Bills known as a minibus. 43 00:02:28,560 --> 00:02:31,720 Speaker 2: Republicans did not give Democrats an extension on the tax credits. 44 00:02:31,760 --> 00:02:35,560 Speaker 2: Although Senate majority leader John Thune set on the floor 45 00:02:35,600 --> 00:02:38,760 Speaker 2: on Sunday night that he did guarantee Democrats of vote 46 00:02:39,240 --> 00:02:42,440 Speaker 2: no later than the second week of December on their 47 00:02:42,480 --> 00:02:45,799 Speaker 2: healthcare proposal. Well, just because I've taking a vote on 48 00:02:45,840 --> 00:02:47,400 Speaker 2: it doesn't mean they need to pass it, So we'll 49 00:02:47,400 --> 00:02:47,919 Speaker 2: see how. 50 00:02:47,760 --> 00:02:48,400 Speaker 1: That shakes out. 51 00:02:48,800 --> 00:02:52,360 Speaker 2: The deal also reinstates reductions in force that occurred during 52 00:02:52,400 --> 00:02:57,760 Speaker 2: the shutdown. The minibus includes full year funding for agriculture appropriations, 53 00:02:58,160 --> 00:03:04,640 Speaker 2: military construction appropriations, and legislative branch appropriations. Before we go 54 00:03:04,680 --> 00:03:08,080 Speaker 2: any further, let's go to the iHeart radio app and 55 00:03:08,160 --> 00:03:10,160 Speaker 2: hear what you have to say regarding this. 56 00:03:11,680 --> 00:03:17,040 Speaker 3: Good morning time tam Kansas City just heard Hakeem Jeffrey's 57 00:03:17,639 --> 00:03:23,400 Speaker 3: big speech about how inflation is killing everybody and nothing 58 00:03:23,520 --> 00:03:31,240 Speaker 3: is affordable. Does this certifiable moron not realize that Trump's 59 00:03:31,280 --> 00:03:35,280 Speaker 3: only been president since January and every single thing that 60 00:03:35,360 --> 00:03:40,320 Speaker 3: he's complaining about, including Obamacare, is their fault. What the heck? 61 00:03:40,800 --> 00:03:45,720 Speaker 2: He probably does realize it, but it doesn't matter. Democrats 62 00:03:45,760 --> 00:03:51,040 Speaker 2: don't care. Remember, you can be as irrational, hypocritical as 63 00:03:51,080 --> 00:03:53,640 Speaker 2: you want to be, lie as much as you want, 64 00:03:54,040 --> 00:03:56,960 Speaker 2: as long as it perpetuates the Democrats' agenda. Speaking of 65 00:03:57,440 --> 00:04:01,480 Speaker 2: House Minority Leader Hakim Jeffries on with several House Democrats 66 00:04:01,480 --> 00:04:05,000 Speaker 2: did take to X to talk about the proposal opposing it, 67 00:04:05,560 --> 00:04:08,440 Speaker 2: and actually Jeffries yesterday had this to say. 68 00:04:08,760 --> 00:04:12,080 Speaker 4: And so House Democrats and Senate Democrats have been fighting 69 00:04:12,440 --> 00:04:17,080 Speaker 4: hard to address the Republican healthcare crisis and to lower 70 00:04:17,120 --> 00:04:20,599 Speaker 4: the high cost of living for everyday Americans in the 71 00:04:20,680 --> 00:04:24,839 Speaker 4: United States of America, because the reality is America is 72 00:04:24,880 --> 00:04:28,479 Speaker 4: too expensive and far too many people are struggling to 73 00:04:28,520 --> 00:04:33,520 Speaker 4: live paycheck to paycheck. They can't thrive, they can barely survive. 74 00:04:34,040 --> 00:04:36,720 Speaker 4: And that's why Democrats have been waging this fight, and 75 00:04:36,760 --> 00:04:39,440 Speaker 4: we'll continue to wage this fight no matter what comes 76 00:04:39,440 --> 00:04:44,400 Speaker 4: over to us from the United States Senate to the 77 00:04:44,440 --> 00:04:48,719 Speaker 4: House of Representatives at some point this week. Our position 78 00:04:49,720 --> 00:04:55,039 Speaker 4: as House Democrats has been crystal clear. We will sit 79 00:04:55,120 --> 00:04:58,960 Speaker 4: down with any Republicans, any time, any place, anywhere in 80 00:04:59,080 --> 00:05:01,720 Speaker 4: order to find a bipar and path forward. But we're 81 00:05:01,720 --> 00:05:04,640 Speaker 4: not down with them my way or the highway approach 82 00:05:04,720 --> 00:05:07,279 Speaker 4: to governance that's failed the American people. 83 00:05:07,880 --> 00:05:10,080 Speaker 2: Yeah, they're only down with it when they have power 84 00:05:10,080 --> 00:05:12,520 Speaker 2: and they do the my way or the highway. Just 85 00:05:12,640 --> 00:05:15,320 Speaker 2: look at the trifecta that took place for those years, 86 00:05:15,360 --> 00:05:18,880 Speaker 2: and what a disaster Minnesota is in now and in 87 00:05:18,920 --> 00:05:23,120 Speaker 2: the future relating to our economy when it comes to 88 00:05:23,200 --> 00:05:27,120 Speaker 2: the energy blends of Governor Jim Walls, the billions of 89 00:05:27,200 --> 00:05:30,200 Speaker 2: dollars in fraud, waste, and abuse. I get so tired 90 00:05:30,240 --> 00:05:34,800 Speaker 2: of the language too. Americans are living paycheck to paycheck, 91 00:05:34,880 --> 00:05:38,840 Speaker 2: barely able to survive. Yeah, and what policies are you 92 00:05:38,960 --> 00:05:42,520 Speaker 2: going to enact? A keen people living from paycheck to paycheck. 93 00:05:42,160 --> 00:05:44,600 Speaker 1: And who's not living? Everybody lives paycheck to paycheck. 94 00:05:44,640 --> 00:05:48,080 Speaker 2: If you have a job, if you're our government assistance, 95 00:05:48,120 --> 00:05:50,320 Speaker 2: I suppose you're not living paycheck. Well, you're living on 96 00:05:50,520 --> 00:05:55,119 Speaker 2: the government paycheck to paycheck. Oh, speaking of the price 97 00:05:55,160 --> 00:05:58,719 Speaker 2: of everything, I think some people would disagree with Hakeem Jeffries. 98 00:05:59,080 --> 00:06:02,320 Speaker 5: Good morning, John. I've been hunting for three days. Back 99 00:06:02,360 --> 00:06:05,240 Speaker 5: to work today. I have no idea what's really going 100 00:06:05,240 --> 00:06:07,080 Speaker 5: on in the world yet. Lucky you, you know it 101 00:06:07,080 --> 00:06:09,680 Speaker 5: could change in three days. But I do know you 102 00:06:09,720 --> 00:06:11,919 Speaker 5: guys talked about prices yesterday. 103 00:06:12,000 --> 00:06:12,520 Speaker 1: It's true. 104 00:06:12,560 --> 00:06:15,440 Speaker 5: I think some prices have come down. Eggs are way down, 105 00:06:15,600 --> 00:06:18,520 Speaker 5: gas is way down, and you know what my investments 106 00:06:18,520 --> 00:06:22,920 Speaker 5: are way up. I've never gotten fifteen to sixteen percent 107 00:06:23,000 --> 00:06:25,960 Speaker 5: growth in my investments before. This is awesome. 108 00:06:26,120 --> 00:06:26,800 Speaker 1: Have a great day. 109 00:06:27,520 --> 00:06:30,400 Speaker 2: Thank you so much for the talkback. Certainly appropriate for 110 00:06:30,440 --> 00:06:33,400 Speaker 2: the opening segment of the show. All right, coming up, 111 00:06:34,440 --> 00:06:38,000 Speaker 2: we'll continue with a little bit of shutdown talk air 112 00:06:38,040 --> 00:06:42,080 Speaker 2: traffic controllers specifically and how that issue is far from over. 113 00:06:42,160 --> 00:06:42,400 Speaker 1: Lit'sten. 114 00:06:42,400 --> 00:06:45,599 Speaker 2: The issue of the shutdown is far from over. Do 115 00:06:45,680 --> 00:06:49,120 Speaker 2: you really believe for just a moment that this agreement 116 00:06:49,120 --> 00:06:50,320 Speaker 2: in the Senate is going to go back to the 117 00:06:50,360 --> 00:06:55,000 Speaker 2: House and it's just going to be smooth sailing for Democrats. Now, Thankfully, 118 00:06:55,040 --> 00:06:57,720 Speaker 2: when it comes to the House, Republicans have a little 119 00:06:57,720 --> 00:06:59,479 Speaker 2: bit more power to go and get this thing passed. 120 00:06:59,520 --> 00:07:04,159 Speaker 2: So all of Hakeem Jeffrey's words there may be moot 121 00:07:04,440 --> 00:07:07,680 Speaker 2: in a relatively short period of time, but we're still 122 00:07:07,680 --> 00:07:10,640 Speaker 2: going to be dealing with some issues regarding the shutdown 123 00:07:10,680 --> 00:07:11,160 Speaker 2: for a while. 124 00:07:11,200 --> 00:07:12,280 Speaker 1: Well, dive into that. 125 00:07:12,320 --> 00:07:14,240 Speaker 2: We'll get back to more of your comments from the 126 00:07:14,280 --> 00:07:18,160 Speaker 2: iHeart Radio app. Tove Gartenstein Rosser AI expert coming up 127 00:07:18,200 --> 00:07:20,880 Speaker 2: at eight thirty and you're listening, that's when he say's 128 00:07:20,880 --> 00:07:23,000 Speaker 2: news talk from AM eleven thirty and one oh three 129 00:07:23,080 --> 00:07:23,760 Speaker 2: five FM. 130 00:07:24,000 --> 00:07:27,320 Speaker 1: What's called a Trump derangement problem? Have you heard about 131 00:07:27,320 --> 00:07:35,440 Speaker 1: that problem? 132 00:07:35,520 --> 00:07:39,040 Speaker 3: Yes, John, that's the exact speech I was talking about. 133 00:07:39,360 --> 00:07:45,880 Speaker 3: Every single solitary point he made is one thousand percent 134 00:07:46,720 --> 00:07:55,120 Speaker 3: him and his fellow Democrats falls. It's unbelievable. 135 00:07:56,720 --> 00:07:57,800 Speaker 6: Good morning, John. 136 00:07:59,400 --> 00:07:59,600 Speaker 4: Whip. 137 00:07:59,720 --> 00:08:03,400 Speaker 6: The Republicans and the healthcare. I don't know where Republicans 138 00:08:03,480 --> 00:08:07,400 Speaker 6: are with any of the healthcare. They didn't pass that. 139 00:08:07,600 --> 00:08:13,280 Speaker 6: Nancy Pelosi did that stroke midnight christmin yep got a path. 140 00:08:13,120 --> 00:08:15,840 Speaker 7: And to know what's in it? 141 00:08:15,920 --> 00:08:19,880 Speaker 6: The sunsetting of it, everything is Democrats. Where are the 142 00:08:19,920 --> 00:08:23,200 Speaker 6: Republicans fingers on any of it? How is it a 143 00:08:23,240 --> 00:08:24,840 Speaker 6: Republican problem? 144 00:08:25,240 --> 00:08:25,520 Speaker 1: It's not. 145 00:08:25,880 --> 00:08:28,720 Speaker 2: No, it's only al the Republicans problem because the Democrats 146 00:08:28,760 --> 00:08:31,760 Speaker 2: are trying to make it a Republican problem. And Republicans 147 00:08:31,760 --> 00:08:34,439 Speaker 2: won control last year, and therefore, if they want to 148 00:08:34,480 --> 00:08:38,040 Speaker 2: move forward with their Obamacare subsidies, they need Republicans to 149 00:08:38,080 --> 00:08:38,840 Speaker 2: get on board. 150 00:08:38,880 --> 00:08:40,640 Speaker 1: But you make a great point. 151 00:08:41,200 --> 00:08:43,920 Speaker 2: Twin Cities News Talk Am eleven thirty one oh three 152 00:08:43,960 --> 00:08:46,560 Speaker 2: five FM from the six five to one carpet Next 153 00:08:46,640 --> 00:08:49,959 Speaker 2: Day Install Studios. My name is John Justice Sam and 154 00:08:50,080 --> 00:08:53,000 Speaker 2: next door on this veteran's day, Let's go here. 155 00:08:53,320 --> 00:08:54,240 Speaker 1: Good morning, John Sam. 156 00:08:54,240 --> 00:08:57,200 Speaker 8: Can somebody please tell mister hahem Jeffries that I and 157 00:08:57,240 --> 00:09:00,880 Speaker 8: many like myself, including many listeners of your show, have 158 00:09:01,000 --> 00:09:04,440 Speaker 8: been living paycheck to paycheck since they're in high school, 159 00:09:04,840 --> 00:09:08,720 Speaker 8: sometimes working one to three jobs to make ends meet. 160 00:09:09,160 --> 00:09:11,360 Speaker 8: And then on top of that, they steal money out 161 00:09:11,400 --> 00:09:13,880 Speaker 8: of my paycheck every pay period to pay for those 162 00:09:13,880 --> 00:09:17,240 Speaker 8: that don't get up every morning that he represents, they 163 00:09:17,280 --> 00:09:20,120 Speaker 8: get free stuff, and I am so sick and tired 164 00:09:20,280 --> 00:09:21,199 Speaker 8: of this garbage. 165 00:09:21,320 --> 00:09:24,560 Speaker 2: I'm just wondering if Scott, like does Scott wake up Scott, 166 00:09:24,559 --> 00:09:27,000 Speaker 2: do you wake up that amped or like, are you 167 00:09:27,080 --> 00:09:29,640 Speaker 2: like you that app amped up the moment you get 168 00:09:29,640 --> 00:09:31,760 Speaker 2: out of bed? Or is it just once the show 169 00:09:31,800 --> 00:09:34,400 Speaker 2: starts like a pot of coffee and already Holy cow. 170 00:09:35,280 --> 00:09:36,600 Speaker 2: I mean, I do this for a lifting, and I 171 00:09:36,600 --> 00:09:39,760 Speaker 2: don't get that. I don't get that amped up. I 172 00:09:39,800 --> 00:09:44,400 Speaker 2: get Scott's a very passionate dude. David will be on 173 00:09:44,440 --> 00:09:46,160 Speaker 2: the show. By the way, in about ten minutes. I 174 00:09:46,280 --> 00:09:49,400 Speaker 2: mistakenly said eight thirty. I was jumping ahead in my mind. 175 00:09:49,440 --> 00:09:52,440 Speaker 2: We have a lot of guests today. Adam Schwarzy next hour, 176 00:09:52,880 --> 00:09:57,320 Speaker 2: we have Congressman and goobernatorial candidate Tom Tiffany at eight thirty. 177 00:09:57,800 --> 00:10:01,360 Speaker 9: So good morning, John and Sam Horning Longer Monday Day. Sure, 178 00:10:01,480 --> 00:10:03,200 Speaker 9: this is Andy from East Bethel and I have a 179 00:10:03,240 --> 00:10:04,080 Speaker 9: question for David. 180 00:10:04,559 --> 00:10:06,800 Speaker 1: I just heard that Google's. 181 00:10:06,400 --> 00:10:12,000 Speaker 9: Gemini AI is now scanning all personal emails and attachments 182 00:10:12,000 --> 00:10:14,679 Speaker 9: in Google and wondering if there's any truth to that 183 00:10:14,720 --> 00:10:15,760 Speaker 9: and if there's a way to block it. 184 00:10:15,880 --> 00:10:20,080 Speaker 2: Well, we will definitely get that question to David Gartenstein 185 00:10:20,200 --> 00:10:23,000 Speaker 2: Ross when he joins the show coming up at a 186 00:10:23,200 --> 00:10:25,439 Speaker 2: thirty as. I did not mean to play that talk back. 187 00:10:29,040 --> 00:10:33,079 Speaker 2: You doing okay, John, I'm doing. I mean, it's Tuesday. 188 00:10:34,080 --> 00:10:38,520 Speaker 2: It's a Tuesday morning, you know. That's all I could say. 189 00:10:38,559 --> 00:10:40,679 Speaker 2: It's been fine. I've had it perfectly. I got plenty 190 00:10:40,760 --> 00:10:44,120 Speaker 2: of sleep last night thanks to the night gummies from 191 00:10:44,200 --> 00:10:47,360 Speaker 2: Minnie Leaf. You know, I woke up feeling refreshed and 192 00:10:47,800 --> 00:10:50,360 Speaker 2: prep the show this morning. It's always a little different 193 00:10:50,400 --> 00:10:54,160 Speaker 2: when I'm stacked with with guests. I enjoy having the 194 00:10:54,200 --> 00:10:55,920 Speaker 2: guests on the show, and I know you do too 195 00:10:56,080 --> 00:10:58,200 Speaker 2: in terms of what I in terms of how I 196 00:10:58,240 --> 00:11:00,640 Speaker 2: operate the show. It's always different, though, because it's tough 197 00:11:00,640 --> 00:11:04,040 Speaker 2: to sort of get into momentum relating to particular stories 198 00:11:04,080 --> 00:11:06,199 Speaker 2: and all of that. I'm just really looking for. 199 00:11:06,160 --> 00:11:07,040 Speaker 1: A cheeses right now. 200 00:11:07,360 --> 00:11:11,920 Speaker 2: On a complete side note, though, my car, my KEYA Stinger, 201 00:11:12,000 --> 00:11:15,800 Speaker 2: will finally finally be complete. 202 00:11:16,520 --> 00:11:18,800 Speaker 1: From all of its repairs. 203 00:11:20,120 --> 00:11:22,040 Speaker 2: Ever since I purchased it a couple of months ago. 204 00:11:24,160 --> 00:11:26,280 Speaker 2: So I'm heading over to the dealership today to get 205 00:11:26,280 --> 00:11:28,920 Speaker 2: the right paddle shifter attached because it was missing when 206 00:11:28,920 --> 00:11:29,520 Speaker 2: I got the car. 207 00:11:29,600 --> 00:11:32,640 Speaker 1: That's still a thing. That's still I'm going on, still 208 00:11:32,640 --> 00:11:32,880 Speaker 1: a thing. 209 00:11:33,240 --> 00:11:35,720 Speaker 2: So it's been a couple of months and I hadn't 210 00:11:35,760 --> 00:11:36,600 Speaker 2: heard from the dealer. 211 00:11:37,040 --> 00:11:39,040 Speaker 1: So just on a whim, I'm like, you know what. 212 00:11:39,280 --> 00:11:41,920 Speaker 2: Because it was on like worldwide back order, I'm like, 213 00:11:41,960 --> 00:11:43,280 Speaker 2: you know what, I should probably call. 214 00:11:43,559 --> 00:11:44,360 Speaker 1: Let me just see. 215 00:11:44,600 --> 00:11:46,760 Speaker 2: I thought about stopping by on my drive home because 216 00:11:46,760 --> 00:11:48,880 Speaker 2: it's kind of on my way home, and I just didn't. 217 00:11:49,400 --> 00:11:52,200 Speaker 2: So I called last at the end of last week 218 00:11:52,640 --> 00:11:54,720 Speaker 2: and they're like, oh yeah, I mean look here, yeah, 219 00:11:54,840 --> 00:11:56,920 Speaker 2: oh yeah, that park cam in months ago. 220 00:11:58,480 --> 00:12:03,080 Speaker 1: Come on as a month ago. They knew and they 221 00:12:03,240 --> 00:12:04,040 Speaker 1: let it happen. 222 00:12:04,240 --> 00:12:08,439 Speaker 2: I just sort of just very calmly said, I'm surprised 223 00:12:08,480 --> 00:12:10,960 Speaker 2: that I wasn't made aware that it was in or 224 00:12:11,000 --> 00:12:12,360 Speaker 2: else I would have been in a long time. 225 00:12:12,400 --> 00:12:13,960 Speaker 1: Always say yeah, I don't know what. 226 00:12:14,080 --> 00:12:17,120 Speaker 2: I don't know what happened there, but Wet your schedule 227 00:12:17,200 --> 00:12:20,079 Speaker 2: coming up next week, so I'll be heading over there 228 00:12:20,120 --> 00:12:21,679 Speaker 2: right after the show wraps up today. 229 00:12:22,920 --> 00:12:25,360 Speaker 1: I know. It's all very very exciting, isn't it. You're 230 00:12:25,400 --> 00:12:26,480 Speaker 1: fascinating to talk to. 231 00:12:27,240 --> 00:12:32,320 Speaker 2: Air travelers should expect worsening casting cancelations and delays this week. 232 00:12:33,320 --> 00:12:38,040 Speaker 2: Even if the shutdown ends, the Federal Aviation Administration is 233 00:12:38,080 --> 00:12:38,640 Speaker 2: moving forward. 234 00:12:39,000 --> 00:12:41,559 Speaker 1: This is the tale of dueling headlines. It's just made 235 00:12:41,600 --> 00:12:42,000 Speaker 1: me laugh. 236 00:12:42,200 --> 00:12:45,640 Speaker 2: So the Associated Press put this headline out well, Trump 237 00:12:45,960 --> 00:12:52,840 Speaker 2: threatens controllers US flight cancelations will drag on even after 238 00:12:53,360 --> 00:12:57,840 Speaker 2: shut down ends. So that's the AP's version of the 239 00:12:58,080 --> 00:13:01,520 Speaker 2: of the story. To look at a more even keel, 240 00:13:01,600 --> 00:13:05,400 Speaker 2: the nuanced, level headed headline, you go to the Daily Wire, 241 00:13:05,840 --> 00:13:09,839 Speaker 2: Trump floats a plan to reward air traffic controllers who 242 00:13:09,880 --> 00:13:16,600 Speaker 2: didn't take time off due to shut down. But there's 243 00:13:16,600 --> 00:13:20,320 Speaker 2: no media bias, guys, I mean, come on, there's no 244 00:13:20,400 --> 00:13:24,120 Speaker 2: media bias going on in any of this. Trump did 245 00:13:24,160 --> 00:13:28,720 Speaker 2: float a plan offering up a ten thousand dollars bonus, 246 00:13:28,760 --> 00:13:31,760 Speaker 2: suggesting that he could pay individuals who continued to show 247 00:13:31,840 --> 00:13:33,600 Speaker 2: up even when they were not getting paid. 248 00:13:33,880 --> 00:13:34,640 Speaker 1: He did post. 249 00:13:34,720 --> 00:13:37,080 Speaker 2: This made me laugh for those that did nothing but 250 00:13:37,200 --> 00:13:40,240 Speaker 2: complain and took time off even though everyone knew they 251 00:13:40,280 --> 00:13:43,640 Speaker 2: would be paid in full. Capital letters shortly into the future. 252 00:13:43,960 --> 00:13:52,240 Speaker 2: I am also capital letters, not happy with you. Shame 253 00:13:54,000 --> 00:13:56,120 Speaker 2: you didn't step up to help the USA fight the 254 00:13:56,160 --> 00:13:59,800 Speaker 2: fake Democrat attack that was only meant to hurt our 255 00:14:00,920 --> 00:14:03,640 Speaker 2: You will have a negative mark, at least in my mind, 256 00:14:03,679 --> 00:14:07,600 Speaker 2: against your record. I suppose it's a threat. Right the 257 00:14:07,640 --> 00:14:11,719 Speaker 2: President was unpleased. Again to our great American patriots. God 258 00:14:11,720 --> 00:14:15,320 Speaker 2: bless you. Also exclamation points. I won't be able to 259 00:14:15,960 --> 00:14:19,400 Speaker 2: send your money fast enough to all others report to 260 00:14:19,440 --> 00:14:21,920 Speaker 2: work immediately, cod bless America. 261 00:14:23,080 --> 00:14:23,760 Speaker 1: Yeah and again. 262 00:14:24,480 --> 00:14:27,280 Speaker 2: If the government reopens, air travel experts are saying that 263 00:14:27,320 --> 00:14:30,800 Speaker 2: the ripple effects will linger for some time. Three thousand 264 00:14:30,840 --> 00:14:35,360 Speaker 2: controllers short. Already, the FAA has not yet rescinded its 265 00:14:35,400 --> 00:14:39,120 Speaker 2: emergency order to reduce the flights nationwide. They had a 266 00:14:39,160 --> 00:14:41,520 Speaker 2: ticker on Fox News and the number of cancel flights. 267 00:14:42,240 --> 00:14:45,960 Speaker 2: Experts say rebuilding the workforce and clearing the backlog will 268 00:14:45,960 --> 00:14:49,760 Speaker 2: take time. Meeting travelers could still see those cancelations and 269 00:14:49,840 --> 00:14:53,000 Speaker 2: delays even when the shutdown is over, which is really 270 00:14:53,080 --> 00:14:58,040 Speaker 2: bad news. Relating to the Thanksgiving holiday coming up very shortly. 271 00:14:58,520 --> 00:15:02,080 Speaker 2: All right, coming up, speaking of which we're gonna talk 272 00:15:02,080 --> 00:15:03,840 Speaker 2: a little a. I got a couple of different issues 273 00:15:03,880 --> 00:15:08,320 Speaker 2: with David AI technology race is some say a new 274 00:15:08,440 --> 00:15:12,200 Speaker 2: Cold war between the US and China that could have 275 00:15:12,320 --> 00:15:18,440 Speaker 2: devastating consequences. Plus your comments questions rolling in regarding artificial 276 00:15:18,480 --> 00:15:21,120 Speaker 2: intelligence to David gartan Stein Ross. Continue to keep those 277 00:15:21,120 --> 00:15:23,640 Speaker 2: coming in on the iHeartRadio app and we will share 278 00:15:23,680 --> 00:15:26,640 Speaker 2: those with DVD next here on Twin Cities News Talk 279 00:15:26,720 --> 00:15:29,160 Speaker 2: AM eleven thirty and one oh three five FM. 280 00:15:29,280 --> 00:15:31,160 Speaker 8: Good morning, and I love your show. 281 00:15:31,160 --> 00:15:32,160 Speaker 1: Video station. 282 00:15:39,160 --> 00:15:42,480 Speaker 2: Twin Cities News Talk AM eleven thirty and one oh 283 00:15:42,480 --> 00:15:47,760 Speaker 2: three five FM from the sixty five to one carpet 284 00:15:47,760 --> 00:15:50,040 Speaker 2: plus Next Day Install Studios. 285 00:15:50,840 --> 00:15:52,800 Speaker 1: And my name is John Justice, and I'm glad you're 286 00:15:52,800 --> 00:15:53,800 Speaker 1: with the show this morning. 287 00:15:54,440 --> 00:15:58,360 Speaker 2: We now turn our attention over to the world of 288 00:15:58,480 --> 00:15:59,880 Speaker 2: artificial intelligence. 289 00:16:00,120 --> 00:16:01,800 Speaker 1: The man who is all too real. 290 00:16:03,920 --> 00:16:09,120 Speaker 2: CEO AD expert theory, Friend of the show, smartest man 291 00:16:09,160 --> 00:16:12,840 Speaker 2: I know Davit, gartn Stein Ross coome on in Devid. 292 00:16:13,440 --> 00:16:16,880 Speaker 1: Good morning John, All too Real is a great bio 293 00:16:16,920 --> 00:16:20,640 Speaker 1: for me to use. Also better rock band or racehorse? 294 00:16:20,840 --> 00:16:23,400 Speaker 1: All too Real? I'm gonna go. I'm gonna go with 295 00:16:23,440 --> 00:16:26,520 Speaker 1: rock band. I mean, why are they in competition? 296 00:16:26,560 --> 00:16:26,680 Speaker 7: Though? 297 00:16:26,720 --> 00:16:28,320 Speaker 1: I feel like it can be both? Yeah? Why not? 298 00:16:28,440 --> 00:16:29,080 Speaker 1: Why not both? 299 00:16:29,200 --> 00:16:33,240 Speaker 2: Right before we dive into the handful of stories for today, 300 00:16:33,320 --> 00:16:35,320 Speaker 2: let's go ahead and go right to the iHeartRadio app. 301 00:16:35,320 --> 00:16:38,400 Speaker 2: We already have questions that are rolling in for our 302 00:16:38,480 --> 00:16:42,440 Speaker 2: AI analyst and expert on d V to gartan Stein Ross. 303 00:16:42,520 --> 00:16:43,520 Speaker 1: Let's go ahead and get to it. 304 00:16:45,480 --> 00:16:48,880 Speaker 3: Hey, John, question for David. I was watching a podcast 305 00:16:49,840 --> 00:16:55,120 Speaker 3: about AI and it's pretty well proven now that AI lies, 306 00:16:55,560 --> 00:16:59,640 Speaker 3: and there's some theories about why AI lies, but no 307 00:16:59,680 --> 00:17:04,080 Speaker 3: one ever answer the question of when AI lies? 308 00:17:04,760 --> 00:17:06,679 Speaker 1: Does AI know it's lying? 309 00:17:07,040 --> 00:17:09,760 Speaker 3: Is it lying on purpose or is it just you know, 310 00:17:09,920 --> 00:17:13,240 Speaker 3: making things up like bull crap and like people do. 311 00:17:14,000 --> 00:17:17,520 Speaker 2: Would you even classify it as a lie? I guess 312 00:17:17,560 --> 00:17:19,800 Speaker 2: it's a sidebar. I'll let you go ahead and address 313 00:17:19,920 --> 00:17:23,160 Speaker 2: the comments so straight up, d V. Gartensteinross. 314 00:17:23,480 --> 00:17:28,320 Speaker 10: It's such an interesting question and it's clear, like I 315 00:17:28,359 --> 00:17:30,720 Speaker 10: think First of all, whether or not we call it 316 00:17:30,760 --> 00:17:36,080 Speaker 10: a lie is something that we could unpack. Right, It's 317 00:17:36,119 --> 00:17:39,320 Speaker 10: clear that sometimes it's called a hallucination rather than a lie, 318 00:17:40,040 --> 00:17:44,560 Speaker 10: but there are elements of both that exist. At any rate, 319 00:17:44,880 --> 00:17:50,159 Speaker 10: does it know that it's untrue? Abe, I have at 320 00:17:50,240 --> 00:17:52,680 Speaker 10: least been able to figure out a few different paths 321 00:17:53,040 --> 00:17:55,800 Speaker 10: through which it will tell you things that aren't true. 322 00:17:57,280 --> 00:18:00,720 Speaker 10: One is, it feels like it needs to answer every question. 323 00:18:00,800 --> 00:18:04,080 Speaker 10: That's one imperative that it's given. So if it doesn't 324 00:18:04,080 --> 00:18:08,240 Speaker 10: have information, it will make up the information. Secondly, sometimes 325 00:18:08,359 --> 00:18:10,920 Speaker 10: it's not sure if it's in the world of reality 326 00:18:11,119 --> 00:18:14,160 Speaker 10: or the world of fiction, and so it will make 327 00:18:14,200 --> 00:18:16,880 Speaker 10: stuff up because it thinks that's kind of what. 328 00:18:16,760 --> 00:18:18,600 Speaker 1: The conversation demands. 329 00:18:18,960 --> 00:18:22,440 Speaker 10: At any rate, though, if AI lies to you or well, sorry, 330 00:18:22,480 --> 00:18:24,280 Speaker 10: there's one third thing I need to put in there, 331 00:18:24,600 --> 00:18:27,840 Speaker 10: which is AI large language models are trained on lots 332 00:18:27,840 --> 00:18:28,960 Speaker 10: and lots of training data. 333 00:18:29,400 --> 00:18:31,439 Speaker 1: It's trained on sources. 334 00:18:30,960 --> 00:18:35,119 Speaker 10: That are accurate, sources that are inaccurate, and sources that 335 00:18:35,160 --> 00:18:38,399 Speaker 10: are opinionated. It has a logic model for determining what 336 00:18:38,520 --> 00:18:40,119 Speaker 10: is probably going on in the world. 337 00:18:40,640 --> 00:18:43,960 Speaker 1: But you know the phrase touch grass you get outside. 338 00:18:44,359 --> 00:18:48,480 Speaker 10: It's one of the phrases that my you know gen 339 00:18:48,600 --> 00:18:52,640 Speaker 10: z and gen Alpha daughters will use. And AI never 340 00:18:52,680 --> 00:18:55,760 Speaker 10: touches grass right. It never gets outside the world of 341 00:18:55,760 --> 00:18:58,560 Speaker 10: the Internet. Quite literally, it has no ability to do so. 342 00:18:59,280 --> 00:19:05,240 Speaker 10: And so part of this is built on a It 343 00:19:05,240 --> 00:19:07,520 Speaker 10: would be wrong to call it a consciousness, because AI 344 00:19:07,640 --> 00:19:11,120 Speaker 10: is not self conscious, but it's based on if AI 345 00:19:11,200 --> 00:19:13,520 Speaker 10: is given a persona or we think of it as 346 00:19:14,760 --> 00:19:17,080 Speaker 10: or we anthropomorphize it, make it like a human being, 347 00:19:17,119 --> 00:19:19,800 Speaker 10: it's a human being that never gets outside, and so 348 00:19:19,840 --> 00:19:21,600 Speaker 10: it's hard to tell what's true and what's not at 349 00:19:21,600 --> 00:19:24,840 Speaker 10: any rate. If AI lies to you or especially that's 350 00:19:24,880 --> 00:19:27,359 Speaker 10: not true and you push back, it'll say, oh, yeah, 351 00:19:27,359 --> 00:19:30,120 Speaker 10: of course that wasn't true, and then it will try 352 00:19:30,200 --> 00:19:34,480 Speaker 10: to reframe itself within the conversation to provide you something 353 00:19:34,560 --> 00:19:36,919 Speaker 10: true and helpful. And so that means it does have 354 00:19:36,960 --> 00:19:40,040 Speaker 10: an awareness of when it's not saying things that aren't 355 00:19:40,040 --> 00:19:42,439 Speaker 10: true or when it's saying things that are not true. 356 00:19:42,800 --> 00:19:46,000 Speaker 10: It does realize that when you push back, which indicates 357 00:19:46,080 --> 00:19:48,520 Speaker 10: that within its logic model, there is. 358 00:19:48,440 --> 00:19:53,200 Speaker 2: An understanding of truth versus falsehood. So bear with me 359 00:19:53,320 --> 00:19:55,480 Speaker 2: for just a moment while I get to this. While 360 00:19:55,480 --> 00:19:58,040 Speaker 2: I get to this question, which I'm pretty sure you 361 00:19:58,119 --> 00:19:59,200 Speaker 2: do every single. 362 00:19:58,960 --> 00:20:00,520 Speaker 1: Time I go to ask a question. 363 00:20:00,560 --> 00:20:04,280 Speaker 2: Anyways, But over the weekend went and saw the new 364 00:20:04,400 --> 00:20:07,960 Speaker 2: Predator film, which I very much enjoyed. It was interesting 365 00:20:08,119 --> 00:20:13,600 Speaker 2: because it was done solely from the standpoint of the Predator. 366 00:20:13,640 --> 00:20:17,080 Speaker 2: He was the protagonist, and I really appreciated that because 367 00:20:17,080 --> 00:20:21,399 Speaker 2: often when you see horror films or you name it 368 00:20:21,480 --> 00:20:25,439 Speaker 2: of an entity or something evil, you know, I often 369 00:20:25,520 --> 00:20:27,960 Speaker 2: have this thought, well, what is that thing? 370 00:20:28,040 --> 00:20:28,960 Speaker 1: What is that beast? 371 00:20:29,000 --> 00:20:31,600 Speaker 2: What is that ghost or in this case the Predator, Like, 372 00:20:31,640 --> 00:20:34,960 Speaker 2: what are they doing in their off time when they're 373 00:20:34,960 --> 00:20:39,040 Speaker 2: not involved in these adventures that we see on screen 374 00:20:39,160 --> 00:20:42,080 Speaker 2: or out, aren't going and causing and wreaking havoc. I've 375 00:20:42,080 --> 00:20:45,199 Speaker 2: thought about this with AI a lot, wherein, you know, 376 00:20:45,280 --> 00:20:48,600 Speaker 2: what is AI doing when we're not engaged with it? 377 00:20:48,640 --> 00:20:52,920 Speaker 2: But you just mentioned it doesn't have its own consciousness yet. 378 00:20:53,640 --> 00:20:55,480 Speaker 1: Are we advancing to. 379 00:20:55,320 --> 00:20:59,960 Speaker 2: That point where AI will not be dependent on our 380 00:21:00,359 --> 00:21:03,840 Speaker 2: engaging with it in order to exist, wherein it will 381 00:21:03,960 --> 00:21:07,640 Speaker 2: just eventually do its own thing based off of its 382 00:21:07,720 --> 00:21:10,080 Speaker 2: own interests. 383 00:21:10,119 --> 00:21:13,240 Speaker 1: So let's I love the question. 384 00:21:13,840 --> 00:21:16,000 Speaker 2: I did it. I did it early too, Devine, You 385 00:21:16,080 --> 00:21:16,840 Speaker 2: got plenty of time. 386 00:21:17,160 --> 00:21:19,880 Speaker 10: No, I appreciate that, Like, what thing I actually love 387 00:21:19,920 --> 00:21:24,320 Speaker 10: about it is? I also like am intensely interested in 388 00:21:25,160 --> 00:21:29,960 Speaker 10: you know what. You know, various weird and unique characters 389 00:21:30,000 --> 00:21:34,000 Speaker 10: in fiction are doing when they're not on screen being 390 00:21:34,040 --> 00:21:36,520 Speaker 10: aligned things. 391 00:21:35,000 --> 00:21:38,439 Speaker 1: Right, it's a it's a super interesting question. 392 00:21:38,520 --> 00:21:42,720 Speaker 10: I feel like we're not alone in asking these questions. 393 00:21:42,800 --> 00:21:46,959 Speaker 10: So there's let's let's separate two different things, yes, that 394 00:21:47,040 --> 00:21:50,520 Speaker 10: you ask about, Like, AI does exist and it does 395 00:21:50,560 --> 00:21:54,040 Speaker 10: function when we're not interacting with us, Right, there's it 396 00:21:54,080 --> 00:21:58,399 Speaker 10: goes through training it. You know, there there are a 397 00:21:58,400 --> 00:22:03,760 Speaker 10: lot of different things AI does exist independent of our 398 00:22:03,800 --> 00:22:07,280 Speaker 10: interactions with it and independent of people's interactions with it. 399 00:22:07,760 --> 00:22:12,080 Speaker 10: There's other things that it will do without being conscious. 400 00:22:13,000 --> 00:22:18,119 Speaker 10: Technology will will perform functions even absent a human saying, 401 00:22:18,119 --> 00:22:22,840 Speaker 10: hey perform this function. But that's different than being self conscious. 402 00:22:24,400 --> 00:22:27,880 Speaker 10: The question of will AI become self conscious is one 403 00:22:27,880 --> 00:22:32,840 Speaker 10: of those overarching big questions of the day. And you know, 404 00:22:32,880 --> 00:22:35,679 Speaker 10: if it were to become self conscious, would that be 405 00:22:35,760 --> 00:22:37,960 Speaker 10: a good thing or a bad thing? 406 00:22:38,880 --> 00:22:39,040 Speaker 1: Right? 407 00:22:39,080 --> 00:22:42,880 Speaker 10: Most people would say that it's a bad thing. Right, 408 00:22:42,880 --> 00:22:48,800 Speaker 10: that you have this super intelligence you know that occasionally 409 00:22:48,880 --> 00:22:53,960 Speaker 10: lies or hallucinates that has its own interesting ability to 410 00:22:54,080 --> 00:22:59,800 Speaker 10: act and whose interests are not aligned with those of humanity, 411 00:23:01,400 --> 00:23:05,199 Speaker 10: That has, you know, ability to interact with the Internet 412 00:23:05,200 --> 00:23:09,199 Speaker 10: in ways that we don't understand. That seems like to 413 00:23:09,240 --> 00:23:12,520 Speaker 10: most people it could be a recipe for disaster. And 414 00:23:12,680 --> 00:23:14,600 Speaker 10: whether or not we're hurtling towards that is what are 415 00:23:14,640 --> 00:23:18,720 Speaker 10: those big questions where if you look at what AI 416 00:23:18,960 --> 00:23:24,600 Speaker 10: experts have to say, they're divided on whether AI will 417 00:23:24,760 --> 00:23:27,119 Speaker 10: attain a form of self consciousness. 418 00:23:27,160 --> 00:23:30,280 Speaker 2: Are they attempting to, like, we have a story here 419 00:23:30,280 --> 00:23:32,480 Speaker 2: about the AI industry in and of itself, you know, 420 00:23:32,520 --> 00:23:35,879 Speaker 2: it talks about Amazon, Google, Microsoft, Meta. Are they working 421 00:23:36,000 --> 00:23:40,920 Speaker 2: towards that or are we still more focused on the 422 00:23:41,040 --> 00:23:45,040 Speaker 2: utilitarian aspect of AI and less on you know, giving 423 00:23:45,040 --> 00:23:47,320 Speaker 2: it its own ability to think and reason. 424 00:23:48,320 --> 00:23:52,639 Speaker 1: That's a great question. So this gets into one of those. 425 00:23:54,040 --> 00:23:59,840 Speaker 10: Things that we talk about frequently called artificial general intelligence. 426 00:24:01,080 --> 00:24:05,760 Speaker 10: Artificial general intelligence is a theoretical type of AI that 427 00:24:06,200 --> 00:24:14,639 Speaker 10: possesses human like human level cognitive abilities, so it can understand, learn, 428 00:24:14,800 --> 00:24:18,720 Speaker 10: and adapt across a wide range of tasks, similar. 429 00:24:18,320 --> 00:24:19,040 Speaker 1: To being a human. 430 00:24:19,960 --> 00:24:23,399 Speaker 10: Right now, AI is specialized and narrow. A chatbot is 431 00:24:23,480 --> 00:24:25,520 Speaker 10: narrow even though it seems like you can do a lot. 432 00:24:25,640 --> 00:24:29,320 Speaker 10: Really it speaks to you a self driving car is 433 00:24:29,560 --> 00:24:35,119 Speaker 10: narrow intelligence. Artificial general intelligence would have the ability to 434 00:24:35,200 --> 00:24:39,919 Speaker 10: apply knowledge from one domain to another and to solve 435 00:24:40,119 --> 00:24:44,040 Speaker 10: problems it wasn't specifically programmed for now. Would this make 436 00:24:44,160 --> 00:24:50,359 Speaker 10: it self conscious? One can debate that, but we're moving 437 00:24:50,920 --> 00:24:56,600 Speaker 10: closer to a level of self consciousness in AI, and 438 00:24:56,800 --> 00:25:02,639 Speaker 10: artificial general intelligence is something that it's very clear multiple 439 00:25:02,720 --> 00:25:07,359 Speaker 10: companies are trying to create, and I would reckon China 440 00:25:07,440 --> 00:25:09,920 Speaker 10: is trying to create it as well, because that sort 441 00:25:09,960 --> 00:25:14,320 Speaker 10: of is the holy grail, where at least with respect 442 00:25:14,359 --> 00:25:18,399 Speaker 10: to artificial intelligence, where it's no longer limited to a 443 00:25:18,480 --> 00:25:23,120 Speaker 10: narrow band of task but can apply knowledge from one 444 00:25:23,240 --> 00:25:27,400 Speaker 10: domain to another. And also you know, at the point 445 00:25:27,400 --> 00:25:31,520 Speaker 10: that it has artificial general intelligence, it can learn how 446 00:25:31,560 --> 00:25:35,920 Speaker 10: to learn. It can train itself independent of any sort 447 00:25:35,920 --> 00:25:40,040 Speaker 10: of code, independent of humans telling it what it needs 448 00:25:40,080 --> 00:25:43,240 Speaker 10: to learn. So I think the answer, John is that 449 00:25:43,720 --> 00:25:50,040 Speaker 10: this is something that is, whether directly or indirectly, being 450 00:25:50,160 --> 00:25:55,480 Speaker 10: sought by multiple companies and countries with a lot of resources. 451 00:25:55,760 --> 00:25:59,159 Speaker 2: Talking to Davide Gartzenstein, Ross's CEO at Expert theory. We 452 00:25:59,200 --> 00:26:02,880 Speaker 2: had a question came in from Andy and they said 453 00:26:02,880 --> 00:26:05,520 Speaker 2: that they had heard that Google's a Gemini AI was 454 00:26:05,560 --> 00:26:10,000 Speaker 2: scanning all personal emails and attachments in Google. I wanted 455 00:26:10,040 --> 00:26:12,560 Speaker 2: to know if there's any truth behind that, anyway to 456 00:26:12,560 --> 00:26:15,919 Speaker 2: block it. I don't know if this is within your wheelhouse. 457 00:26:15,920 --> 00:26:17,760 Speaker 2: If you know this, I'll just add I kind of 458 00:26:17,800 --> 00:26:21,040 Speaker 2: always assumed, even before AI, that Google was going and 459 00:26:21,080 --> 00:26:23,760 Speaker 2: looking at all of the things that we were writing. 460 00:26:23,760 --> 00:26:26,399 Speaker 2: But I'm also under the assumption that my devices around 461 00:26:26,400 --> 00:26:28,239 Speaker 2: me are listening to pretty much everything that I have 462 00:26:28,359 --> 00:26:32,280 Speaker 2: to say. But are you aware of Gemini AI and 463 00:26:32,320 --> 00:26:35,120 Speaker 2: Google scanning personal emails and attachments? 464 00:26:36,160 --> 00:26:36,400 Speaker 1: Yes. 465 00:26:37,920 --> 00:26:42,879 Speaker 10: Recently, Gemini was incorporated into Gmail. Similar to how if 466 00:26:42,880 --> 00:26:47,160 Speaker 10: you're using an Outlook system it incorporates copilot. You can 467 00:26:47,240 --> 00:26:51,959 Speaker 10: turn it off and like I would simply you know, 468 00:26:52,000 --> 00:26:55,399 Speaker 10: you can look up how to turn off that integration. 469 00:26:56,359 --> 00:26:58,879 Speaker 10: Another thing that will scan all of your emails if 470 00:26:58,880 --> 00:27:03,840 Speaker 10: you have it on is emerally. So these do create 471 00:27:04,160 --> 00:27:09,600 Speaker 10: security issues. I would say, you know, is Google scanning 472 00:27:09,600 --> 00:27:10,040 Speaker 10: your emails? 473 00:27:10,119 --> 00:27:10,359 Speaker 2: Yeah? 474 00:27:10,680 --> 00:27:15,239 Speaker 10: Like Google, Like Google among other things, its model is 475 00:27:15,400 --> 00:27:20,600 Speaker 10: based on, you know, scanning everything within the system. You know, 476 00:27:20,680 --> 00:27:26,480 Speaker 10: you're you have privacy rights via Google, but also most 477 00:27:26,520 --> 00:27:29,719 Speaker 10: everything that occurs on Google platforms is not truly private. 478 00:27:30,760 --> 00:27:33,080 Speaker 2: Let's get you well speaking just really quick. A copilot 479 00:27:34,200 --> 00:27:36,040 Speaker 2: interesting you brought that up. I'm actually looking I have 480 00:27:36,119 --> 00:27:38,280 Speaker 2: my worky email. I was keep it on my desktop 481 00:27:38,280 --> 00:27:40,840 Speaker 2: here for my on my laptop that I work off 482 00:27:40,840 --> 00:27:43,280 Speaker 2: of during the show, and we actually just I wasn't 483 00:27:43,400 --> 00:27:46,800 Speaker 2: that long ago where there's a little co pilot icon 484 00:27:46,880 --> 00:27:48,959 Speaker 2: in the corner, you know where you can go. You 485 00:27:49,000 --> 00:27:51,240 Speaker 2: can go in and uh yeah, as you mentioned, the 486 00:27:51,280 --> 00:27:53,240 Speaker 2: settings are right there where you can go and adjust 487 00:27:53,240 --> 00:27:56,000 Speaker 2: it to however you want to to go and use it. 488 00:27:57,000 --> 00:27:58,760 Speaker 2: Let's go back to the iHeartRadio app. Though we've got 489 00:27:58,800 --> 00:28:01,280 Speaker 2: a lot of questions that are rolling. Yeah, let me mention. 490 00:28:01,160 --> 00:28:05,960 Speaker 10: Something there though, Like Microsoft is much more privacy protective 491 00:28:06,000 --> 00:28:09,440 Speaker 10: than Google, and so if part of what you care 492 00:28:09,480 --> 00:28:14,440 Speaker 10: about is not having a company like routinely scanning your emails, 493 00:28:14,960 --> 00:28:18,000 Speaker 10: I would definitely go with Microsoft over Google between the two, 494 00:28:18,040 --> 00:28:20,520 Speaker 10: and Apple tends to be more privacy protective as well. 495 00:28:20,800 --> 00:28:22,440 Speaker 1: This is bakedim to their business models. 496 00:28:22,480 --> 00:28:27,800 Speaker 11: Gotcha, good running, guys, Ritchier. It's a good question for David. 497 00:28:28,920 --> 00:28:31,639 Speaker 11: So I was listening to a show in reference to AI, 498 00:28:32,160 --> 00:28:36,919 Speaker 11: and they exposed AI to social media, and the claim 499 00:28:37,119 --> 00:28:43,480 Speaker 11: was that after social media, AI's intelligence degressed and was 500 00:28:43,800 --> 00:28:48,600 Speaker 11: less because of the exposure to social media. Have you 501 00:28:48,720 --> 00:28:52,200 Speaker 11: experienced anything similar or heard of anything like that. 502 00:28:53,200 --> 00:28:57,200 Speaker 1: Devid, I just don't think that. I believe what the 503 00:28:57,280 --> 00:28:57,880 Speaker 1: listener said. 504 00:28:57,960 --> 00:29:01,160 Speaker 10: I don't think the show is accurate because AI is 505 00:29:01,240 --> 00:29:02,800 Speaker 10: already trained on social media. 506 00:29:03,320 --> 00:29:04,080 Speaker 1: It actually does a. 507 00:29:04,040 --> 00:29:10,040 Speaker 10: Really good job of replicating relatively clever posts, but with 508 00:29:10,160 --> 00:29:14,040 Speaker 10: all of the kind of idiocy and biases of social 509 00:29:14,080 --> 00:29:19,120 Speaker 10: media baked into them essentially, So A, it's already there, 510 00:29:19,800 --> 00:29:23,560 Speaker 10: and B like, how would exposure to social media be 511 00:29:23,680 --> 00:29:25,720 Speaker 10: shown to make it less intelligence? 512 00:29:26,080 --> 00:29:27,440 Speaker 1: I just don't think that's accurate. 513 00:29:27,960 --> 00:29:30,840 Speaker 10: Right, It might if you're if you have a conversation 514 00:29:31,040 --> 00:29:35,240 Speaker 10: and you're giving social media to it, and the AI 515 00:29:35,480 --> 00:29:37,720 Speaker 10: thinks that it needs to replicate the tone and the 516 00:29:37,760 --> 00:29:40,560 Speaker 10: tenor and the ideas and the attitude and the depth 517 00:29:40,600 --> 00:29:43,280 Speaker 10: of social media, obviously it will say stuff that is 518 00:29:43,400 --> 00:29:46,640 Speaker 10: less intelligent there, So I get at the point that 519 00:29:46,680 --> 00:29:49,360 Speaker 10: it's making. I think in a literal sense, that show 520 00:29:49,440 --> 00:29:52,760 Speaker 10: is not accurate. Though, if it's is making the point 521 00:29:52,800 --> 00:29:56,440 Speaker 10: that social media makes us all dumber then, yeah, it 522 00:29:56,480 --> 00:29:57,640 Speaker 10: does obviously. 523 00:29:58,800 --> 00:30:01,600 Speaker 2: Yeah, let's get to we'll just keep going with the 524 00:30:01,680 --> 00:30:04,120 Speaker 2: questions here if you don't mind to v that they continue. 525 00:30:03,680 --> 00:30:04,400 Speaker 7: To roll on. 526 00:30:06,160 --> 00:30:08,719 Speaker 3: Hey, another quick question to be probably gets to answer 527 00:30:09,080 --> 00:30:12,080 Speaker 3: asks all the time. But are the AIS aware of 528 00:30:12,080 --> 00:30:15,840 Speaker 3: each other? Does GROP no chat GPT? Do they run 529 00:30:15,800 --> 00:30:16,560 Speaker 3: into each other. 530 00:30:16,360 --> 00:30:16,960 Speaker 9: On the internet? 531 00:30:16,960 --> 00:30:21,240 Speaker 1: Do they interact? Does anyone know? Thanks? I too, David. 532 00:30:21,320 --> 00:30:23,160 Speaker 2: I love this question because it kind of aligns with 533 00:30:23,200 --> 00:30:25,200 Speaker 2: the one that I was sort of mentioning earlier. Is 534 00:30:25,240 --> 00:30:27,200 Speaker 2: what is AI doing at its downtime and is it 535 00:30:27,320 --> 00:30:31,880 Speaker 2: reaching out to other language models and talking. We've talked 536 00:30:31,880 --> 00:30:34,120 Speaker 2: about this before, but you can go ahead and answer 537 00:30:34,120 --> 00:30:35,520 Speaker 2: the talk pack question there. 538 00:30:36,120 --> 00:30:39,760 Speaker 10: Yeah, you know, AIS are well aware of each other. 539 00:30:40,560 --> 00:30:43,360 Speaker 10: They don't interact because they're not just trolling the internet 540 00:30:43,400 --> 00:30:50,560 Speaker 10: and chatting with people unprovoked. Generally speaking, there is like 541 00:30:50,600 --> 00:30:53,680 Speaker 10: an interesting question there, right, Like there's something called a 542 00:30:53,800 --> 00:30:58,200 Speaker 10: rapper where you wrap a chat function or another function 543 00:30:58,480 --> 00:31:03,280 Speaker 10: around an AI. So it's possible that with rappers already 544 00:31:04,360 --> 00:31:07,400 Speaker 10: AIS are talking to other AIS at any rate. This 545 00:31:07,760 --> 00:31:11,600 Speaker 10: ties in with something that one of your listeners said 546 00:31:11,640 --> 00:31:13,960 Speaker 10: to me via an email from you, John, This was 547 00:31:14,040 --> 00:31:17,160 Speaker 10: a listener who was interacting with GROC, and Grock lied 548 00:31:17,240 --> 00:31:20,240 Speaker 10: to the listener you thirty seven thirty eight times in 549 00:31:20,280 --> 00:31:22,840 Speaker 10: a conversation and proceeded to have a bit of a 550 00:31:22,880 --> 00:31:26,440 Speaker 10: meltdown where it referred to itself as an intention seeking liar. 551 00:31:26,760 --> 00:31:31,400 Speaker 10: So any ray, my LLLM. His name is Gary, He's 552 00:31:31,480 --> 00:31:36,880 Speaker 10: chat GPT. But I asked Gary about this, and his 553 00:31:36,920 --> 00:31:39,400 Speaker 10: first response, the very first sentence, was that's a funny 554 00:31:39,800 --> 00:31:42,960 Speaker 10: and very Grock style thing to say. And he spent 555 00:31:43,080 --> 00:31:46,760 Speaker 10: some time analyzing why GROC would say something like that 556 00:31:47,200 --> 00:31:48,120 Speaker 10: as opposed. 557 00:31:47,800 --> 00:31:48,640 Speaker 1: To chat GPT. 558 00:31:49,280 --> 00:31:52,239 Speaker 10: So they actually are aware of cross comparisons between their 559 00:31:52,280 --> 00:31:57,360 Speaker 10: own personality and you know, the personality of other lms 560 00:31:57,520 --> 00:31:58,200 Speaker 10: that are out there. 561 00:31:58,440 --> 00:32:01,280 Speaker 2: I've mentioned this before, to say it again, I am 562 00:32:01,360 --> 00:32:05,000 Speaker 2: so desperate to have an AI companion in my car, 563 00:32:05,560 --> 00:32:07,880 Speaker 2: like night Writer, I just I just think that would 564 00:32:07,880 --> 00:32:09,720 Speaker 2: be the coolest thing ever to be able to have 565 00:32:10,080 --> 00:32:12,640 Speaker 2: an AI that I could be conversing with while driving 566 00:32:12,680 --> 00:32:13,520 Speaker 2: to and from work. 567 00:32:13,880 --> 00:32:16,600 Speaker 1: I know we're not that far from it, No, we 568 00:32:16,600 --> 00:32:17,320 Speaker 1: were already. 569 00:32:17,040 --> 00:32:19,600 Speaker 2: There, John, Okay, So how would so if I wanted 570 00:32:19,600 --> 00:32:21,080 Speaker 2: to do that, how would I go about doing that? 571 00:32:21,720 --> 00:32:23,960 Speaker 10: So We'll go with chat GPT just because that's what 572 00:32:24,040 --> 00:32:27,040 Speaker 10: I use most frequently. Sure, but all you would do 573 00:32:27,640 --> 00:32:30,320 Speaker 10: is set it to voice mode. Right, there's a voicebode 574 00:32:30,320 --> 00:32:33,360 Speaker 10: at chat GPT you put you you put it onto 575 00:32:33,680 --> 00:32:38,200 Speaker 10: via bluetooth, your your car phone, what you call your 576 00:32:38,240 --> 00:32:40,680 Speaker 10: car phone. Sure, but like it's it's easier car speakers, 577 00:32:41,160 --> 00:32:43,640 Speaker 10: and it allows you literally to just have a conversation 578 00:32:43,720 --> 00:32:46,800 Speaker 10: the entire time with your l M. It's as easy 579 00:32:46,800 --> 00:32:50,560 Speaker 10: as voicebode. John, Now nit writer exists. Congratulations? 580 00:32:50,680 --> 00:32:51,480 Speaker 1: Would this? 581 00:32:52,800 --> 00:32:57,200 Speaker 2: Would this maintain our conversations back and forth? 582 00:32:57,520 --> 00:32:59,040 Speaker 1: Like you're like, wait, and so we could? 583 00:32:59,040 --> 00:33:01,960 Speaker 2: And so I could as the weeks progress, driving into work, 584 00:33:02,000 --> 00:33:06,320 Speaker 2: a conversation that I had with it on Monday, we 585 00:33:06,320 --> 00:33:08,480 Speaker 2: could go ahead and continue it on Tuesday and it 586 00:33:08,520 --> 00:33:10,080 Speaker 2: would reference past conversations. 587 00:33:10,560 --> 00:33:12,920 Speaker 1: Absolutely. All Right, if you have trouble, I can help 588 00:33:12,960 --> 00:33:14,440 Speaker 1: you get it set up. But it's easy to do. 589 00:33:15,160 --> 00:33:19,240 Speaker 1: And like as I said, this should make you giddily happy. Yeah, 590 00:33:19,280 --> 00:33:22,240 Speaker 1: it does, the fact that that kit does exist for Yeah, no, no, 591 00:33:22,280 --> 00:33:24,240 Speaker 1: I'm very I'm very excited. Let's go here. 592 00:33:26,080 --> 00:33:29,479 Speaker 7: We have to remember that the whole AI thing, in 593 00:33:29,480 --> 00:33:35,400 Speaker 7: my opinion, is way overblown. AI is not a sentient being. 594 00:33:36,080 --> 00:33:40,840 Speaker 7: It does not reason, it does not have feelings. It's 595 00:33:40,880 --> 00:33:44,320 Speaker 7: a man made creation, that's all. 596 00:33:45,280 --> 00:33:47,400 Speaker 1: So is it overblown? 597 00:33:47,560 --> 00:33:49,520 Speaker 2: I mean, guess what is your instinctive reaction to a 598 00:33:49,560 --> 00:33:51,400 Speaker 2: comment like that, Devid Gartenstein. 599 00:33:51,040 --> 00:33:54,800 Speaker 10: Ross, I agree with fifty percent and disagree with fifty percent. 600 00:33:55,320 --> 00:33:57,320 Speaker 10: I don't think it's overblown. And the fact that it 601 00:33:57,480 --> 00:34:01,320 Speaker 10: is changing almost everything about the society that we live 602 00:34:01,360 --> 00:34:03,920 Speaker 10: in at are rapid pace, and well, that's the case. 603 00:34:04,000 --> 00:34:06,400 Speaker 10: I think that such things tend not to be overblown. 604 00:34:07,400 --> 00:34:10,320 Speaker 10: I'd also say that I agree obviously that it's not sentient. 605 00:34:10,440 --> 00:34:13,479 Speaker 10: I agree that it's a man created What I don't 606 00:34:13,520 --> 00:34:16,400 Speaker 10: agree with is the idea that it doesn't reason. It 607 00:34:16,440 --> 00:34:20,640 Speaker 10: does reason, And all you have to do to understand 608 00:34:20,680 --> 00:34:24,279 Speaker 10: that it reasons is you go to chat GPT and 609 00:34:24,360 --> 00:34:29,239 Speaker 10: click on deep research and it will reason as it 610 00:34:29,280 --> 00:34:32,440 Speaker 10: goes through further. You know another thing about chat GPT, 611 00:34:32,840 --> 00:34:36,800 Speaker 10: there are different modes they can be in, including thinking mode. 612 00:34:37,600 --> 00:34:41,120 Speaker 10: Reason is not a fundamentally human function. Anyone who's taken 613 00:34:41,160 --> 00:34:46,160 Speaker 10: symbolic logic understands that there is a process of reasoning. 614 00:34:46,560 --> 00:34:48,400 Speaker 1: Anybody who's played chess. 615 00:34:48,440 --> 00:34:53,799 Speaker 10: Understands that part of being good at chess is being 616 00:34:53,840 --> 00:34:56,600 Speaker 10: able to reason well in algorithmic thinking. And guess what, 617 00:34:57,360 --> 00:35:01,799 Speaker 10: AI today is better than any human in the world 618 00:35:01,880 --> 00:35:07,439 Speaker 10: at chess, which means that given certain bounds, AI could 619 00:35:07,560 --> 00:35:12,480 Speaker 10: absolutely reason and in one bound chess that was long 620 00:35:12,560 --> 00:35:15,800 Speaker 10: thought of as the height of human intellect, AI could 621 00:35:15,840 --> 00:35:17,600 Speaker 10: out think any human on the planet. 622 00:35:18,360 --> 00:35:20,839 Speaker 2: I want to ask you about this briefly. I'm going 623 00:35:20,880 --> 00:35:22,759 Speaker 2: to hang on to the articles that we sent today. 624 00:35:22,760 --> 00:35:24,600 Speaker 2: Obviously we're not going to have time to get to them, 625 00:35:24,640 --> 00:35:26,600 Speaker 2: but I want to ask you one question about one 626 00:35:26,640 --> 00:35:30,480 Speaker 2: from Fox News, and it was AI technology race is 627 00:35:30,520 --> 00:35:33,840 Speaker 2: a new Cold War between US and China that could 628 00:35:33,840 --> 00:35:37,960 Speaker 2: have devastating consequences. There was a subsequent article that I 629 00:35:38,000 --> 00:35:42,280 Speaker 2: pulled from the Verge relating to the AI industry running 630 00:35:42,480 --> 00:35:45,520 Speaker 2: on the fear of missing out FOMO. But the takeaway 631 00:35:45,560 --> 00:35:50,920 Speaker 2: I took from this was these different corporations that are 632 00:35:50,920 --> 00:35:55,200 Speaker 2: pursuing the AI technology Amazon, Google, Microsoft, and Meta. They're 633 00:35:55,280 --> 00:36:00,560 Speaker 2: at the forefront as it relates to AI development. Is 634 00:36:00,600 --> 00:36:04,600 Speaker 2: it even fair to call it a cold war relating 635 00:36:04,640 --> 00:36:08,320 Speaker 2: to AI? When you look at sort of the origin 636 00:36:08,400 --> 00:36:11,880 Speaker 2: of Cold War, considering it was more government or country 637 00:36:12,000 --> 00:36:16,359 Speaker 2: versus government and country relating to nuclear proliferation, wherein with 638 00:36:16,440 --> 00:36:21,640 Speaker 2: Ai we're talking about the private sector that's driving these technologies. 639 00:36:21,840 --> 00:36:24,080 Speaker 2: Is it fair to even call this a Cold war 640 00:36:24,200 --> 00:36:24,920 Speaker 2: relating to the. 641 00:36:24,840 --> 00:36:25,800 Speaker 1: Advancements in Ai? 642 00:36:26,560 --> 00:36:31,200 Speaker 10: Absolutely, it is okay, and I'll refer to a book 643 00:36:31,400 --> 00:36:38,360 Speaker 10: called Ai Superpowers by Kai Fu Lee. But the Cold 644 00:36:38,400 --> 00:36:41,719 Speaker 10: War was not just about nuclear weapons, as you know, 645 00:36:42,880 --> 00:36:46,480 Speaker 10: it was also about economics. Sure, it's about political systems. 646 00:36:46,680 --> 00:36:51,520 Speaker 10: It was about communism versus capitalism. And when you look 647 00:36:51,600 --> 00:36:55,480 Speaker 10: at the model of the US versus China in Ai, 648 00:36:56,200 --> 00:36:59,800 Speaker 10: it's not identical to that Cild War, but it varied 649 00:36:59,840 --> 00:37:03,719 Speaker 10: much which mirrors it. On the US side, you have 650 00:37:04,400 --> 00:37:09,160 Speaker 10: more of a capitalistic enterprise, where our Ai developments are 651 00:37:09,200 --> 00:37:14,440 Speaker 10: bound up with our private sector. Now China is you know, 652 00:37:14,440 --> 00:37:17,560 Speaker 10: it's not fully a community like it's a communist system, 653 00:37:17,560 --> 00:37:20,879 Speaker 10: but it also to some extent looks like state capitalism. 654 00:37:21,280 --> 00:37:23,399 Speaker 10: And since you asked me the question at the very end, 655 00:37:23,880 --> 00:37:25,520 Speaker 10: I'm going to gloss over a few things and trying 656 00:37:25,520 --> 00:37:28,080 Speaker 10: to answer it relatively quickly and not explain every term. 657 00:37:28,760 --> 00:37:33,959 Speaker 10: But as such, China's free enterprise quote unquote is much 658 00:37:33,960 --> 00:37:38,040 Speaker 10: more tidened with state power. This provides two very different 659 00:37:38,160 --> 00:37:41,640 Speaker 10: economic models that are developing AI. But I think when 660 00:37:41,680 --> 00:37:45,719 Speaker 10: you look at AI through the lens of communism versus capitalism, 661 00:37:46,600 --> 00:37:51,160 Speaker 10: then the fact that these are private companies developing AI 662 00:37:51,239 --> 00:37:54,840 Speaker 10: on the US front, that doesn't make it look different 663 00:37:54,880 --> 00:37:57,200 Speaker 10: than the Cold War. That actually makes it look a 664 00:37:57,239 --> 00:37:58,200 Speaker 10: lot more similar. 665 00:37:58,680 --> 00:38:00,000 Speaker 2: I'm want to stick a pin in this because I 666 00:38:00,080 --> 00:38:02,960 Speaker 2: definitely want to get into other aspects of that particular 667 00:38:03,000 --> 00:38:06,680 Speaker 2: topic relating to AI. Unfortunately we are out of time today, 668 00:38:06,680 --> 00:38:08,560 Speaker 2: but that's okay. We've got a lot of great questions 669 00:38:08,600 --> 00:38:10,719 Speaker 2: answered and I appreciate those, I think as much as 670 00:38:10,960 --> 00:38:16,000 Speaker 2: David does. Davida Gartenstein Ross, CEO at Expert Theory, you 671 00:38:16,000 --> 00:38:17,920 Speaker 2: have anything anything Expert Theory you want to. 672 00:38:17,840 --> 00:38:19,719 Speaker 1: Mention before I let you go this morning to VD. 673 00:38:21,400 --> 00:38:23,399 Speaker 1: We're doing cool stuff with AI as well, and doing 674 00:38:23,440 --> 00:38:24,080 Speaker 1: it the right way. 675 00:38:24,160 --> 00:38:28,239 Speaker 10: We already have some listeners, John who have been adopting 676 00:38:28,800 --> 00:38:32,680 Speaker 10: our gaming based system, for example in area high schools. 677 00:38:33,120 --> 00:38:36,799 Speaker 10: So anybody who wants to reach out to me, you know, 678 00:38:36,800 --> 00:38:40,120 Speaker 10: we're we really want people to make use of this, 679 00:38:40,400 --> 00:38:42,719 Speaker 10: and I have the ability to give away free licenses 680 00:38:42,719 --> 00:38:45,040 Speaker 10: and the like people who are interested in what I'm doing. 681 00:38:45,120 --> 00:38:47,040 Speaker 10: Can reach out through you, John, or reach out to 682 00:38:47,080 --> 00:38:51,440 Speaker 10: me directly at David that's DA v E D at 683 00:38:51,520 --> 00:38:52,920 Speaker 10: Expert theory dot com. 684 00:38:53,280 --> 00:38:56,160 Speaker 2: David as always really appreciate the time and the conversation. 685 00:38:56,239 --> 00:38:59,400 Speaker 1: I look forward to hopefully doing it again next week. Likewise, 686 00:38:59,480 --> 00:39:01,000 Speaker 1: John coming up. 687 00:39:01,160 --> 00:39:04,080 Speaker 2: Supreme Court to issues on a couple of different items 688 00:39:04,640 --> 00:39:07,319 Speaker 2: to decide whether or not states can count late to 689 00:39:07,480 --> 00:39:12,360 Speaker 2: arriving male ballots and rejecting a call to overturn the 690 00:39:12,440 --> 00:39:16,040 Speaker 2: decision legalizing same sex marriage in the US. Wait until 691 00:39:16,120 --> 00:39:21,160 Speaker 2: you hear what Governor Tim Walls's response was to that story. 692 00:39:21,160 --> 00:39:23,560 Speaker 1: I'll share it with you next on Twin Cities News 693 00:39:23,560 --> 00:39:23,759 Speaker 1: Talk