1 00:00:00,480 --> 00:00:10,240 Speaker 1: You're listening to KFI AM six forty on demand. 2 00:00:10,960 --> 00:00:13,720 Speaker 2: I was thinking of Mark when I saw the story 3 00:00:13,720 --> 00:00:18,160 Speaker 2: out of San Francisco. And it's a few way most 4 00:00:18,280 --> 00:00:20,200 Speaker 2: have you seen that you haven't done the driver of 5 00:00:20,239 --> 00:00:23,440 Speaker 2: this car? Right? No, and nor will I, okay, out 6 00:00:23,440 --> 00:00:26,279 Speaker 2: of principle or out of fear, well both, and until 7 00:00:26,320 --> 00:00:29,560 Speaker 2: we're in a complete minority report situation where they're on 8 00:00:29,680 --> 00:00:31,960 Speaker 2: tracks and they can't screw up, there's no way you're 9 00:00:31,960 --> 00:00:34,400 Speaker 2: gonna get me in one of those things. Okay. So 10 00:00:35,240 --> 00:00:40,360 Speaker 2: I lived in Phoenix when Phoenix Metro, when they were 11 00:00:40,400 --> 00:00:43,280 Speaker 2: starting to roll those things out, and so they became 12 00:00:44,600 --> 00:00:50,239 Speaker 2: normal everyday sites. They were all over the place. Just 13 00:00:50,479 --> 00:00:52,400 Speaker 2: quick background. I grew up in a very small town. 14 00:00:53,159 --> 00:00:57,120 Speaker 2: My folks still live there in northern Michigan. And the 15 00:00:57,160 --> 00:00:59,720 Speaker 2: weirdest thing happened Pops came out to visit me. This 16 00:00:59,760 --> 00:01:03,200 Speaker 2: would been about twenty sixteen, I guess. And I lived 17 00:01:03,360 --> 00:01:06,240 Speaker 2: in Mesa, Arizona, which is a suburb of Phoenix for 18 00:01:06,240 --> 00:01:10,840 Speaker 2: those unfamiliar, and waime O. Their primary testing site was 19 00:01:11,200 --> 00:01:16,120 Speaker 2: in Chandler, Arizona, so Chandler and Mesa border and I 20 00:01:16,240 --> 00:01:18,280 Speaker 2: was only I don't know four or five miles away 21 00:01:18,280 --> 00:01:20,600 Speaker 2: from ground zero and that stuff. So it came by 22 00:01:20,640 --> 00:01:22,440 Speaker 2: my house all the time because it was doing neighborhoods 23 00:01:22,480 --> 00:01:23,520 Speaker 2: to start with, and then it would go to the 24 00:01:23,600 --> 00:01:26,800 Speaker 2: arterial streets and then eventually out to the freeways. But 25 00:01:26,840 --> 00:01:29,160 Speaker 2: I saw it all the time, and so it was 26 00:01:29,280 --> 00:01:30,600 Speaker 2: it was one of those things where you go, oh, 27 00:01:30,640 --> 00:01:33,440 Speaker 2: that's a self driving car. And for the first I 28 00:01:33,440 --> 00:01:35,120 Speaker 2: don't know, two or three years, I had somebody that 29 00:01:35,200 --> 00:01:37,000 Speaker 2: was driving it, you know, that was sitting behind the wheel, 30 00:01:37,040 --> 00:01:39,039 Speaker 2: or at least they were they were monitoring it. And 31 00:01:39,080 --> 00:01:43,319 Speaker 2: then eventually it went without anybody there, no passengers, but 32 00:01:43,400 --> 00:01:46,119 Speaker 2: no drivers. And then now it's being used as basically 33 00:01:46,160 --> 00:01:49,280 Speaker 2: a taxi service. So Pops is out to visit. Mean, 34 00:01:49,280 --> 00:01:53,280 Speaker 2: my folks came out to visit, and he had I 35 00:01:53,280 --> 00:01:56,600 Speaker 2: think only recently retired. And he comes out and he's 36 00:01:56,640 --> 00:01:59,160 Speaker 2: in uh, he's there with us. We're outside, I'm doing 37 00:01:59,240 --> 00:02:03,040 Speaker 2: yardwork or some of the and and a Waimo comes by, 38 00:02:03,480 --> 00:02:05,680 Speaker 2: driverless vehicle and I go, hey, I take I said, 39 00:02:05,680 --> 00:02:07,840 Speaker 2: take a look, nobody's behind the wheel on that car. 40 00:02:07,880 --> 00:02:10,239 Speaker 2: He goes, oh, that's cool. And you know how they've 41 00:02:10,240 --> 00:02:12,040 Speaker 2: got the you know, the spinny deal up on top 42 00:02:12,080 --> 00:02:15,480 Speaker 2: and the flared fender cameras and things like that, and 43 00:02:15,520 --> 00:02:18,240 Speaker 2: I go, isn't that cool? It just drove by. I go, 44 00:02:18,280 --> 00:02:20,959 Speaker 2: there's nobody, nobody there, nobody's driving that car. It's a 45 00:02:21,120 --> 00:02:23,720 Speaker 2: it's autonomous. He goes, yeah, I heard about that. That's cool. 46 00:02:24,919 --> 00:02:26,800 Speaker 2: I thought, Wow, he's really not all that impressed by 47 00:02:26,840 --> 00:02:28,919 Speaker 2: this driverless vehicle. I would have thought that a guy 48 00:02:29,040 --> 00:02:31,760 Speaker 2: born in the fifties would have been like, Wow, the 49 00:02:31,800 --> 00:02:34,200 Speaker 2: future is here, sci fi all this stuff come to life. 50 00:02:34,280 --> 00:02:36,440 Speaker 2: But you think that, like they had candlestick phones when 51 00:02:36,440 --> 00:02:39,040 Speaker 2: they were kids, and like anything that reeks of a 52 00:02:39,120 --> 00:02:41,440 Speaker 2: little bit yaka yeah, yeah, yeah. I mean my mother 53 00:02:41,480 --> 00:02:43,480 Speaker 2: didn't have a TV until they were four, until she 54 00:02:43,560 --> 00:02:46,160 Speaker 2: was four or something like that, right, And my father 55 00:02:46,240 --> 00:02:48,000 Speaker 2: grew up and he had a poster of the Moon 56 00:02:48,040 --> 00:02:50,520 Speaker 2: landing on his wall, and so I would have thought 57 00:02:50,520 --> 00:02:52,800 Speaker 2: he would have he would have just acknowledged, like, wow, 58 00:02:52,840 --> 00:02:55,119 Speaker 2: look the advancement technology. I would have thought that would 59 00:02:55,120 --> 00:02:57,960 Speaker 2: have been a cool thing. All right. But here's where 60 00:02:57,960 --> 00:03:00,840 Speaker 2: the story takes a little bit of a twist. Uh. 61 00:03:01,680 --> 00:03:07,079 Speaker 2: A few minutes later, a car comes by, and do 62 00:03:07,120 --> 00:03:10,440 Speaker 2: you remember when h Lyft used to put those those uh, 63 00:03:10,520 --> 00:03:12,639 Speaker 2: those pink mustaches on the front of the car. Those 64 00:03:12,639 --> 00:03:16,400 Speaker 2: were cute. Yeah, so this lift comes by with a 65 00:03:16,440 --> 00:03:20,800 Speaker 2: pink mustache. Dad like drops his rake or whatever it 66 00:03:20,880 --> 00:03:22,400 Speaker 2: is that we were doing, and he goes. He goes, 67 00:03:23,000 --> 00:03:25,600 Speaker 2: is that is that? Is that one of those lift cars? 68 00:03:25,840 --> 00:03:27,960 Speaker 2: Is that one of those lifts? And I go yeah. 69 00:03:27,960 --> 00:03:29,679 Speaker 2: He goes, that's one of those lifts, isn't it. I 70 00:03:29,760 --> 00:03:35,080 Speaker 2: go yeah. He goes, I knew because the mustache. I'm like, yeah, Dad, 71 00:03:35,080 --> 00:03:38,840 Speaker 2: it's a ride share, it's it's a lift, you know. 72 00:03:39,000 --> 00:03:41,280 Speaker 2: He's like, man, I've never seen one of those before. 73 00:03:43,920 --> 00:03:47,040 Speaker 2: So no joke. We go inside, we're having lunch. My 74 00:03:47,160 --> 00:03:50,400 Speaker 2: mother's inside, and he goes, honey, guess what we saw. 75 00:03:51,920 --> 00:03:56,920 Speaker 2: She's what we saw one of those lift cars. She goes, Oh, 76 00:03:57,480 --> 00:04:02,800 Speaker 2: I've never seen one of those before. I've never seen 77 00:04:02,800 --> 00:04:06,280 Speaker 2: somebody get so excited about a ride share. And yet 78 00:04:06,320 --> 00:04:10,080 Speaker 2: I go, yeah, we also saw a driverless vehicle. Oh 79 00:04:10,800 --> 00:04:13,240 Speaker 2: they had they just didn't care at all. It blew 80 00:04:13,320 --> 00:04:17,599 Speaker 2: my mind. They're weird people, man, They're weird people. Well, 81 00:04:17,640 --> 00:04:20,520 Speaker 2: and back back when they were young, those old corveirs 82 00:04:20,520 --> 00:04:22,600 Speaker 2: without the seat belts, they didn't have the mustaches. I 83 00:04:22,680 --> 00:04:28,600 Speaker 2: guess I did Ralph Nader do anything about mustache? You're 84 00:04:28,640 --> 00:04:32,400 Speaker 2: exactly right. Yeah, oh my old dad's and so never 85 00:04:32,480 --> 00:04:36,360 Speaker 2: had one of those. So I had a mustache. Crazy crazy. 86 00:04:36,440 --> 00:04:39,040 Speaker 2: So I seen this video out of San Francisco, and 87 00:04:39,200 --> 00:04:41,640 Speaker 2: I've I've seen this before where the waymos go down 88 00:04:41,800 --> 00:04:45,279 Speaker 2: a dead end street and then you know how people 89 00:04:45,320 --> 00:04:46,520 Speaker 2: park at the end of a cul de sac er 90 00:04:46,560 --> 00:04:48,080 Speaker 2: dead end street and then they kind of fill up 91 00:04:48,080 --> 00:04:49,720 Speaker 2: the side. Well WAYMO didn't know how to turn around. 92 00:04:49,720 --> 00:04:51,599 Speaker 2: They didn't know how to do you know the skill 93 00:04:51,640 --> 00:04:53,919 Speaker 2: that we all learned driving in LA and that is 94 00:04:53,960 --> 00:04:56,880 Speaker 2: the nine point turn WAYMO just didn't know how to 95 00:04:56,920 --> 00:04:59,400 Speaker 2: do that. So I've seen that before where it kind 96 00:04:59,400 --> 00:05:03,360 Speaker 2: of gets stuck, almost like a robot vacuum in a closet. 97 00:05:04,040 --> 00:05:08,160 Speaker 2: And then in this case, another one comes by. So 98 00:05:08,200 --> 00:05:10,120 Speaker 2: you're on a dead end street. One way most trying 99 00:05:10,160 --> 00:05:12,200 Speaker 2: to turn around, another one doesn't know that it needs 100 00:05:12,200 --> 00:05:14,359 Speaker 2: to turn around yet, and so they end up with 101 00:05:14,400 --> 00:05:17,240 Speaker 2: this standoff. And then a third Waymo comes by and 102 00:05:17,240 --> 00:05:19,000 Speaker 2: then it's just it just blocked the entire end of 103 00:05:19,000 --> 00:05:20,600 Speaker 2: the street. So these things are all just it's this 104 00:05:20,760 --> 00:05:24,960 Speaker 2: it's just this this automated standoff, which from a human 105 00:05:25,000 --> 00:05:28,000 Speaker 2: standpoint looks like the dumbest thing in the world. As 106 00:05:28,000 --> 00:05:33,000 Speaker 2: if as if you're walking on on the street downtown, 107 00:05:33,040 --> 00:05:36,159 Speaker 2: any down pick a downtown and you're walking towards someone, 108 00:05:36,160 --> 00:05:37,800 Speaker 2: they're walking towards you, and you have that awkward moment 109 00:05:37,839 --> 00:05:40,240 Speaker 2: where you're, oh, I'll go left, you go right, Oh, 110 00:05:40,279 --> 00:05:41,400 Speaker 2: you know how it is, and then they're like, oh, 111 00:05:41,400 --> 00:05:43,280 Speaker 2: excuse me, and then you kind of you figure it out, 112 00:05:43,320 --> 00:05:45,919 Speaker 2: you move around. Imagine if you had two people that 113 00:05:45,920 --> 00:05:48,039 Speaker 2: were like, oh, I'm just gonna go oh, excuse me, 114 00:05:48,120 --> 00:05:49,960 Speaker 2: and then they just froze and then they just stared 115 00:05:49,960 --> 00:05:51,800 Speaker 2: at each other and they just didn't know what to do. 116 00:05:52,600 --> 00:05:54,560 Speaker 2: That's what happened with the Waymos. They just didn't know 117 00:05:54,600 --> 00:05:56,720 Speaker 2: what to do. They were stuck a robot pil up. 118 00:05:57,200 --> 00:05:58,880 Speaker 2: That's exactly what it was. I'm not gonna lie. I 119 00:05:58,880 --> 00:06:00,760 Speaker 2: would stay to watch to see it would have happened, 120 00:06:00,760 --> 00:06:02,640 Speaker 2: but it probably would have stayed like that for hours. 121 00:06:02,720 --> 00:06:05,800 Speaker 2: It became a thing. Other people were like, are they 122 00:06:05,800 --> 00:06:08,919 Speaker 2: going to fix this? One guy, a man can be 123 00:06:08,960 --> 00:06:11,640 Speaker 2: heard on the video saying, are they just going to 124 00:06:11,680 --> 00:06:15,280 Speaker 2: stay there forever? Now, eventually way Moo employee went to 125 00:06:15,320 --> 00:06:18,200 Speaker 2: the scene and then I don't know, programmed the car, 126 00:06:18,320 --> 00:06:20,360 Speaker 2: took over it whatever. Back then it got it out 127 00:06:20,360 --> 00:06:23,000 Speaker 2: of there. Anyway, they got it figured out, as you 128 00:06:23,040 --> 00:06:25,599 Speaker 2: knew they would. But it just feels like you're so dumb. 129 00:06:26,400 --> 00:06:28,159 Speaker 2: And then you've got way Mother that's doing some really 130 00:06:28,200 --> 00:06:34,720 Speaker 2: weird stuff, like like passing school buses with red flashing lights. 131 00:06:35,040 --> 00:06:35,320 Speaker 2: Uh oh. 132 00:06:35,400 --> 00:06:38,320 Speaker 3: From maybe C seven this morning, Waymo is tapping the 133 00:06:38,320 --> 00:06:41,600 Speaker 3: brakes on some of the software and their self driving vehicles. 134 00:06:42,400 --> 00:06:48,440 Speaker 2: They're tapping the brakes. Oh that's wild. Oh did you 135 00:06:48,480 --> 00:06:53,480 Speaker 2: get it? They're tapping the brakes. H oh, that is 136 00:06:53,520 --> 00:06:54,200 Speaker 2: a funny guy. 137 00:06:54,839 --> 00:06:57,880 Speaker 3: After a series of close calls in Texas, some of 138 00:06:57,880 --> 00:07:01,280 Speaker 3: the robotaxis have been seen performing in legal maneuvers like 139 00:07:01,360 --> 00:07:05,599 Speaker 3: this one passing stop school buses. The Austin School District 140 00:07:05,680 --> 00:07:08,640 Speaker 3: says this has happened at least nineteen times since. 141 00:07:08,520 --> 00:07:11,920 Speaker 2: Holy cow, nineteen times. It's the start of the school year. 142 00:07:12,240 --> 00:07:14,480 Speaker 1: Some of them with children crossing the road. 143 00:07:14,680 --> 00:07:16,520 Speaker 2: They don't need to be operating on a road with 144 00:07:16,520 --> 00:07:18,640 Speaker 2: with federal investigators. Oh no, yeah. People that are like 145 00:07:18,720 --> 00:07:20,560 Speaker 2: you Mark, They're like, no, we should never have these 146 00:07:20,600 --> 00:07:23,640 Speaker 2: on the roads. Never there's looking into the issue. 147 00:07:23,680 --> 00:07:27,960 Speaker 3: Waimo says it's issuing a voluntary software recall, saying in 148 00:07:28,000 --> 00:07:31,760 Speaker 3: a statement, holding the highest safety standards means recognizing what 149 00:07:31,880 --> 00:07:35,160 Speaker 3: our behavior should be better. We will continue analyzing our 150 00:07:35,240 --> 00:07:38,160 Speaker 3: vehicle's performance and making necessary fixes. 151 00:07:38,560 --> 00:07:41,000 Speaker 2: I gotta tell you that apology sounds like the crap 152 00:07:41,040 --> 00:07:44,239 Speaker 2: that chat GBT gives me when it violates the rules 153 00:07:44,240 --> 00:07:46,840 Speaker 2: that I set up. I'm like, here's how I want 154 00:07:46,920 --> 00:07:49,200 Speaker 2: my Here's how I want my uh, you know, my 155 00:07:49,240 --> 00:07:51,480 Speaker 2: synopsis of a story written out, and it does it wrong, 156 00:07:51,520 --> 00:07:53,480 Speaker 2: and I go, why'd you do that wrong? It's like, oh, 157 00:07:53,520 --> 00:07:55,920 Speaker 2: you're right. I need to recognize when I do things wrong, 158 00:07:55,960 --> 00:07:58,000 Speaker 2: and you're right to call me out. I won't do 159 00:07:58,080 --> 00:08:00,960 Speaker 2: it again. There's nothing like being passedized by an AI. 160 00:08:01,160 --> 00:08:05,440 Speaker 2: It's the worst anything AI writes. By the way, it's 161 00:08:05,440 --> 00:08:07,440 Speaker 2: a it's a real tip off. It uses the M 162 00:08:07,520 --> 00:08:09,720 Speaker 2: dash if you're unfamiliar with that, basically, instead of a 163 00:08:09,760 --> 00:08:13,880 Speaker 2: comma or an ellipses, it will use a dash that 164 00:08:14,040 --> 00:08:16,200 Speaker 2: New York Times loves to use. Those That offends me 165 00:08:16,280 --> 00:08:19,720 Speaker 2: because that is actually correct according to the Associated Press. 166 00:08:19,920 --> 00:08:20,040 Speaker 4: Use. 167 00:08:21,320 --> 00:08:25,920 Speaker 2: Yeah, that's an insulting topic. I get you, Nikki, but 168 00:08:26,040 --> 00:08:29,600 Speaker 2: there are options. Not every sentence needs to have one 169 00:08:29,640 --> 00:08:29,920 Speaker 2: in it. 170 00:08:30,040 --> 00:08:32,760 Speaker 1: Well, I do agree that chat GTP or whatever it's 171 00:08:32,800 --> 00:08:34,720 Speaker 1: called does overegg the pudding. 172 00:08:34,960 --> 00:08:40,920 Speaker 2: But the use is correct. It's not incorrect punctuation. But 173 00:08:42,000 --> 00:08:44,080 Speaker 2: I don't need to put an exclamation point on every 174 00:08:44,440 --> 00:08:47,520 Speaker 2: everything I write either. Even though it's not incorrect, there's 175 00:08:47,559 --> 00:08:49,880 Speaker 2: over usage and it's terrible. It's a real tip off. 176 00:08:49,960 --> 00:08:52,760 Speaker 2: Like college professors are looking for the M dash because 177 00:08:52,800 --> 00:08:55,439 Speaker 2: they know kids don't write with that, right. It's a 178 00:08:55,480 --> 00:08:57,439 Speaker 2: tip off. So I said, don't use the M dash. 179 00:08:57,720 --> 00:09:00,760 Speaker 2: Don't put yourself in a situation where it's not X, 180 00:09:00,840 --> 00:09:03,320 Speaker 2: it's Y with M dasheres. I said, don't do that, 181 00:09:03,640 --> 00:09:07,360 Speaker 2: and it does it anyway. People remember this from Blade Runner. 182 00:09:07,360 --> 00:09:09,839 Speaker 2: But when they're giving the replicants the void comptest to 183 00:09:09,880 --> 00:09:12,480 Speaker 2: find out if they're real or robots, well, I love 184 00:09:12,480 --> 00:09:15,480 Speaker 2: it when you make nineteen sixties film reference, it's nineteen eighties, 185 00:09:15,520 --> 00:09:19,480 Speaker 2: you swine. If a replicant uses an m dash, they 186 00:09:19,520 --> 00:09:21,959 Speaker 2: just get burned on the spot. Hey, you're completely right 187 00:09:22,000 --> 00:09:26,000 Speaker 2: about this. It's unnatural. It's unnatural, and I'm okay with it. 188 00:09:26,200 --> 00:09:30,760 Speaker 2: On occasion. It should not be in every sentence. Drives 189 00:09:30,760 --> 00:09:33,200 Speaker 2: me nuts, Nikki's you go ahead and use that, Nikki, 190 00:09:33,240 --> 00:09:35,520 Speaker 2: I'm gonna know exactly when you're cheating. I use those 191 00:09:35,600 --> 00:09:40,040 Speaker 2: dashes correctly, damn it. I know what a hyphen is, 192 00:09:40,160 --> 00:09:42,200 Speaker 2: I know what an N dash is, and I know 193 00:09:42,280 --> 00:09:45,640 Speaker 2: what an M dashes. Okay, good, I'm taking a look 194 00:09:45,679 --> 00:09:47,679 Speaker 2: at what you've written on the Today's show notes. By 195 00:09:47,679 --> 00:09:49,760 Speaker 2: the way I'm looking at it, you know what, you 196 00:09:49,800 --> 00:09:56,960 Speaker 2: didn't use a single one. I'm clever? Oh judicious? That's it. 197 00:09:56,960 --> 00:10:00,880 Speaker 2: It is not judicious. It crutches and makes me angry. 198 00:10:01,600 --> 00:10:03,319 Speaker 2: So there are just certain tip offs here when it 199 00:10:03,320 --> 00:10:07,319 Speaker 2: comes to the technology. But when it comes to that technology, 200 00:10:08,040 --> 00:10:10,319 Speaker 2: good news. We are going to fix it all on 201 00:10:10,440 --> 00:10:13,440 Speaker 2: a federal level. You're gonna find out why because at 202 00:10:13,440 --> 00:10:15,080 Speaker 2: first you thought every state had the right to make 203 00:10:15,080 --> 00:10:18,000 Speaker 2: their own rules. They do not. Why because that m 204 00:10:18,080 --> 00:10:22,600 Speaker 2: dash is being overused everywhere. But fortunately we've got new 205 00:10:22,679 --> 00:10:26,720 Speaker 2: laws against the m dash, banning the m dash from 206 00:10:26,880 --> 00:10:28,880 Speaker 2: chat GPT is next, Chris Merril. 207 00:10:30,000 --> 00:10:33,440 Speaker 1: You're listening to KFI AM six forty on demand. 208 00:10:36,000 --> 00:10:39,439 Speaker 2: We have a consideration about Ai or Mark You love 209 00:10:39,480 --> 00:10:43,920 Speaker 2: Ai oh Man you're never gonna ride away mo, and 210 00:10:43,960 --> 00:10:45,400 Speaker 2: I think I've talked to you out of using any 211 00:10:45,400 --> 00:10:48,079 Speaker 2: sort of chat GPT because it loves the m dash, 212 00:10:48,120 --> 00:10:50,520 Speaker 2: which I didn't realize we were going to have a 213 00:10:50,559 --> 00:10:54,960 Speaker 2: grammar war between old English nikki over here and in 214 00:10:55,080 --> 00:10:58,880 Speaker 2: me comal which mark which side are you on in 215 00:10:58,960 --> 00:11:01,160 Speaker 2: this neither. I'm just way for somebody to whip out 216 00:11:01,280 --> 00:11:04,120 Speaker 2: a knife, because this is serious. I'll tell you. The 217 00:11:04,400 --> 00:11:08,280 Speaker 2: one thing that the way Moo innovation has done for 218 00:11:08,400 --> 00:11:11,560 Speaker 2: me is that it's made me appreciate how much I 219 00:11:11,640 --> 00:11:16,040 Speaker 2: never really considered enough how much I like the horrible cologne, 220 00:11:16,320 --> 00:11:21,280 Speaker 2: the unbearable music, and the awful intrusive questions of real 221 00:11:21,360 --> 00:11:25,760 Speaker 2: life cab driver. I took that for granted for so long. 222 00:11:26,040 --> 00:11:30,760 Speaker 2: So long, Oh listening to them scream at someone overseas 223 00:11:30,760 --> 00:11:34,839 Speaker 2: in a different language for your entire trip, racing through 224 00:11:35,000 --> 00:11:40,439 Speaker 2: those railroad track barriers. Yeah, last time I did a 225 00:11:40,520 --> 00:11:43,160 Speaker 2: ride share, the guy backed into a bus and I 226 00:11:44,240 --> 00:11:46,640 Speaker 2: didn't appreciate it like I should have at the time, 227 00:11:47,200 --> 00:11:49,920 Speaker 2: And now you just look back fondly. Yeah, It's like 228 00:11:50,160 --> 00:11:54,160 Speaker 2: these things are basically like those those robot vacuum cleaners 229 00:11:54,200 --> 00:11:56,120 Speaker 2: who in the hell wants to write in a robot 230 00:11:56,160 --> 00:12:00,880 Speaker 2: vacuum cleaner. I get it. I get it. So one 231 00:12:00,920 --> 00:12:02,400 Speaker 2: of the things that I think is really interesting when 232 00:12:02,440 --> 00:12:06,560 Speaker 2: it comes to WEIMO is that Arizona basically said, no regulations. 233 00:12:06,559 --> 00:12:09,920 Speaker 2: You guys can do whatever you want, just don't kill anyone. California, 234 00:12:09,960 --> 00:12:14,160 Speaker 2: on the other hand, was actually, and it's no surprise, 235 00:12:14,240 --> 00:12:18,000 Speaker 2: we had more regulation. We like our regulations in California, 236 00:12:18,160 --> 00:12:20,240 Speaker 2: but you would have thought around San Francisco and the 237 00:12:20,240 --> 00:12:23,720 Speaker 2: Bay Area that where they were developing the technology would 238 00:12:23,800 --> 00:12:26,720 Speaker 2: have been a little more accommodating to what is a 239 00:12:26,840 --> 00:12:30,000 Speaker 2: major source of their economy. But they were really hesitant, 240 00:12:30,160 --> 00:12:33,240 Speaker 2: really stand offish on it. So really the question is 241 00:12:33,559 --> 00:12:36,960 Speaker 2: do you have open regulation or do you have heavy regulation. 242 00:12:37,120 --> 00:12:39,280 Speaker 2: I think the answer is always somewhere in the middle, 243 00:12:39,559 --> 00:12:42,800 Speaker 2: and that you have to have we have to weigh, 244 00:12:42,840 --> 00:12:44,400 Speaker 2: we have to weigh the pros and the cons and 245 00:12:44,440 --> 00:12:45,800 Speaker 2: I think there also has to be a little bit 246 00:12:45,800 --> 00:12:50,160 Speaker 2: of local autonomy that goes into these things. The President, 247 00:12:50,800 --> 00:12:56,720 Speaker 2: in talking about AI says, no, no, no, we can't 248 00:12:56,720 --> 00:12:59,600 Speaker 2: be doing that. We're gonna have to just take the 249 00:12:59,640 --> 00:13:02,400 Speaker 2: control away from the states, And that honestly surprised me 250 00:13:02,480 --> 00:13:03,160 Speaker 2: around the lobe. 251 00:13:03,200 --> 00:13:05,920 Speaker 5: Everyone is talking about artificial intelligence. 252 00:13:06,000 --> 00:13:08,959 Speaker 2: I find that too artificial, I get. I can't stand it. 253 00:13:09,240 --> 00:13:11,079 Speaker 2: I don't even like the name, you know. 254 00:13:11,040 --> 00:13:12,760 Speaker 1: I don't like anything that's artificials. 255 00:13:12,920 --> 00:13:15,920 Speaker 2: There you go, Mark, he's just like you. So could 256 00:13:15,960 --> 00:13:18,080 Speaker 2: we straighten that out? Please? We should change the name. 257 00:13:19,120 --> 00:13:19,960 Speaker 2: I actually mean that. 258 00:13:20,040 --> 00:13:23,320 Speaker 5: I don't like the name artificial anything because it's not artificial. 259 00:13:23,360 --> 00:13:28,200 Speaker 2: It's genius. Oh, it's pure genius. There you Mark, Maybe 260 00:13:28,200 --> 00:13:30,679 Speaker 2: you don't agree with Leave me out of this, please, Okay? 261 00:13:30,960 --> 00:13:35,440 Speaker 2: Fair enough. So now the President says we are going 262 00:13:35,480 --> 00:13:38,880 Speaker 2: to take action, and so he has stepped up with 263 00:13:38,920 --> 00:13:41,240 Speaker 2: his one rule in dealing with AI. 264 00:13:41,480 --> 00:13:45,000 Speaker 6: The evolution of artificial intelligence and its integration into our 265 00:13:45,080 --> 00:13:49,360 Speaker 6: daily lives is happening so rapidly Congress simply isn't keeping 266 00:13:49,360 --> 00:13:52,640 Speaker 6: pace to regulate it, leaving a vacuum that states are 267 00:13:52,640 --> 00:13:55,720 Speaker 6: trying to fill with a patchwork of laws on AI safety, 268 00:13:55,960 --> 00:13:59,800 Speaker 6: copyright protection, and more. Monday morning, President. 269 00:13:59,400 --> 00:14:03,000 Speaker 2: Trump, this, by the way, from the National Desk. 270 00:14:03,120 --> 00:14:05,200 Speaker 6: There must be only one rule book if we are 271 00:14:05,240 --> 00:14:07,720 Speaker 6: going to continue to lead an AI. We are beating 272 00:14:07,720 --> 00:14:09,600 Speaker 6: all countries at this point in the race. But that 273 00:14:09,679 --> 00:14:12,200 Speaker 6: won't last long. If we are going to have fifty states, 274 00:14:12,240 --> 00:14:14,400 Speaker 6: many of them bad actors involved in rules and the 275 00:14:14,440 --> 00:14:15,320 Speaker 6: approval process. 276 00:14:15,559 --> 00:14:18,600 Speaker 2: I think bad actors. Can I just ask something here? 277 00:14:18,840 --> 00:14:21,920 Speaker 2: Go on? Doesn't that reporter sound like an AI? Yes? 278 00:14:24,160 --> 00:14:26,760 Speaker 2: But really, I mean, how many like small market or 279 00:14:26,760 --> 00:14:29,560 Speaker 2: inexperienced reporters do that? I wish we had tape. But 280 00:14:29,600 --> 00:14:33,040 Speaker 2: the first time I did a newscast I started. First 281 00:14:33,040 --> 00:14:34,560 Speaker 2: time I got hired full time in radio, it was 282 00:14:34,600 --> 00:14:38,480 Speaker 2: to anchor news for a few months, and then they 283 00:14:38,480 --> 00:14:40,160 Speaker 2: were gonna slide me into a morning show. This is 284 00:14:40,160 --> 00:14:42,680 Speaker 2: a really small market. Like basically, they couldn't find anybody 285 00:14:42,720 --> 00:14:44,760 Speaker 2: that could speak English to do it because everybody else 286 00:14:44,760 --> 00:14:48,480 Speaker 2: spoke you know, farmer and so. So. I got the 287 00:14:48,520 --> 00:14:50,800 Speaker 2: gig when I was twenty two, but they had me 288 00:14:50,880 --> 00:14:53,400 Speaker 2: doing reading news and I was so bad because I 289 00:14:53,400 --> 00:14:58,040 Speaker 2: thought news guys read like this. Yeah. I was so bad, 290 00:14:58,720 --> 00:15:02,800 Speaker 2: so bad, and they're good. Pump the brakes, Pump the 291 00:15:02,800 --> 00:15:04,840 Speaker 2: brakes on that I will. 292 00:15:04,720 --> 00:15:07,160 Speaker 6: Be doing a one rule executive order this week. You 293 00:15:07,200 --> 00:15:09,920 Speaker 6: can't expect a company to get fifty approvals every time 294 00:15:09,960 --> 00:15:10,960 Speaker 6: they want to do something. 295 00:15:11,280 --> 00:15:12,600 Speaker 2: Great. President is likely. 296 00:15:12,440 --> 00:15:16,120 Speaker 6: To find backers beyond his party last year in Colorado's 297 00:15:16,120 --> 00:15:18,960 Speaker 6: Democratic Governor Jared pole Is signed first in the nation 298 00:15:19,160 --> 00:15:20,920 Speaker 6: comprehensive AI regulation. 299 00:15:21,320 --> 00:15:23,760 Speaker 7: To do this right, we really need federal action to 300 00:15:23,880 --> 00:15:27,760 Speaker 7: establish a national regulatory framework for AI to preempt the 301 00:15:27,800 --> 00:15:30,800 Speaker 7: states and avoid a patchwork of state laws that would 302 00:15:30,840 --> 00:15:33,920 Speaker 7: deter from innovation and make it less efficient for consumers 303 00:15:33,960 --> 00:15:34,240 Speaker 7: as well. 304 00:15:34,280 --> 00:15:36,560 Speaker 2: All right, So there you've got the Colorado governor Democrat 305 00:15:36,720 --> 00:15:39,360 Speaker 2: who say we have to have a federal standard. That's 306 00:15:39,360 --> 00:15:40,880 Speaker 2: not a lot. Let's not leave this up to the states, 307 00:15:40,880 --> 00:15:43,360 Speaker 2: which I would have expected from a Democrat. Democrats tend 308 00:15:43,360 --> 00:15:46,120 Speaker 2: to be more of a larger centralized government with a 309 00:15:46,560 --> 00:15:50,280 Speaker 2: regulatory body. They trust government. Conservatives tend to be a 310 00:15:50,320 --> 00:15:52,960 Speaker 2: little bit more suspicious of government, and they see the 311 00:15:53,000 --> 00:15:56,200 Speaker 2: corruption that happens in different places. And I understand where 312 00:15:56,200 --> 00:15:59,480 Speaker 2: this suspicion comes from. Where I am a little bit 313 00:15:59,800 --> 00:16:04,000 Speaker 2: low lost on this is that you've got President Trump 314 00:16:04,080 --> 00:16:07,280 Speaker 2: who's all about state's rights. States should make their own 315 00:16:07,280 --> 00:16:09,400 Speaker 2: decisions when it comes to abortions. States should make their 316 00:16:09,400 --> 00:16:11,360 Speaker 2: own decisions when it comes to gay marriage. State should 317 00:16:11,360 --> 00:16:13,840 Speaker 2: make their own decisions when it comes to elections. Well, 318 00:16:13,840 --> 00:16:16,360 Speaker 2: the federal government should take care that states shouldn't have 319 00:16:16,360 --> 00:16:21,800 Speaker 2: the opportunity. Wait, I thought states should have the right. Well, 320 00:16:21,840 --> 00:16:23,880 Speaker 2: when it comes to education, well, the federal government should 321 00:16:23,880 --> 00:16:26,720 Speaker 2: take care of that. The federal government, and both Democrats 322 00:16:26,760 --> 00:16:29,720 Speaker 2: and Republicans agree with that, just that the Republicans want 323 00:16:29,920 --> 00:16:33,440 Speaker 2: to cut some of it and the Democrats want to 324 00:16:33,480 --> 00:16:35,800 Speaker 2: fund more on education and clamp down more and put 325 00:16:35,800 --> 00:16:38,240 Speaker 2: in more regulations. Right, So we run into this argument, 326 00:16:38,440 --> 00:16:40,680 Speaker 2: and ultimately I think it comes down to who we're 327 00:16:40,720 --> 00:16:44,840 Speaker 2: willing to allow to have control. You've got groups that 328 00:16:44,880 --> 00:16:48,920 Speaker 2: says everything should be decided by the states. Oh okay, 329 00:16:49,520 --> 00:16:51,680 Speaker 2: so elections then should be stated by state, which they 330 00:16:51,680 --> 00:16:54,480 Speaker 2: are right now. Well no, no, no, no no. That's 331 00:16:54,560 --> 00:16:58,240 Speaker 2: leading to a bunch of fraud and stolen elections. Oh okay, 332 00:16:58,280 --> 00:17:00,320 Speaker 2: so education should well no, no, no, no, no no, 333 00:17:00,360 --> 00:17:02,880 Speaker 2: because that's leading to a bunch of dei and wokeness. 334 00:17:03,400 --> 00:17:05,520 Speaker 2: Or no no, no, no no, because that's leading to 335 00:17:05,640 --> 00:17:08,479 Speaker 2: substandards and no child left behind, and that doesn't work. 336 00:17:08,560 --> 00:17:10,119 Speaker 2: So you've got the left and the right. They're arguing 337 00:17:10,119 --> 00:17:12,160 Speaker 2: over what the other side does, and they don't want 338 00:17:12,200 --> 00:17:14,400 Speaker 2: certain states to have certain rights. So my question is this, 339 00:17:15,440 --> 00:17:20,640 Speaker 2: what's the criteria for deciding on any particular issue, whether 340 00:17:20,720 --> 00:17:22,679 Speaker 2: or not the states get to make their own decisions, 341 00:17:24,240 --> 00:17:26,760 Speaker 2: because it seems that the parties don't. They're not really 342 00:17:26,760 --> 00:17:28,920 Speaker 2: interested in the states making their own decisions unless they're 343 00:17:28,920 --> 00:17:32,320 Speaker 2: not getting their way on a national level. So let 344 00:17:32,400 --> 00:17:34,080 Speaker 2: me make this recommendation. I'm gonna come to you with 345 00:17:34,119 --> 00:17:36,760 Speaker 2: a solution, not just not just whining. When it comes 346 00:17:36,760 --> 00:17:42,720 Speaker 2: to AI, I'm all for federal guidelines. I am all 347 00:17:42,760 --> 00:17:49,200 Speaker 2: for it, one hundred percent supported. Likewise, however, I think 348 00:17:49,200 --> 00:17:51,760 Speaker 2: we should also allow the states to add different enhancements 349 00:17:51,760 --> 00:17:55,000 Speaker 2: if they feel like the federal law doesn't have enough teeth. So, 350 00:17:55,119 --> 00:17:58,720 Speaker 2: for instance, consider civil rights and we go, here's the 351 00:17:58,760 --> 00:18:01,840 Speaker 2: baseline for civil rights nationally. That's it, civil rights national issue. 352 00:18:01,840 --> 00:18:06,639 Speaker 2: Nobody disagrees with that civil rights national issue. Okay, what 353 00:18:06,720 --> 00:18:09,800 Speaker 2: are protected classes? California has different protected classes than what 354 00:18:09,840 --> 00:18:11,760 Speaker 2: we have at a federal level, and I'm okay with that. 355 00:18:11,840 --> 00:18:13,679 Speaker 2: I think it's good that California can say no, no, no, 356 00:18:13,720 --> 00:18:16,200 Speaker 2: we're gonna we're gonna make sure that people have are 357 00:18:16,200 --> 00:18:21,840 Speaker 2: protected based on gender identity. For instance, right on a 358 00:18:21,840 --> 00:18:24,720 Speaker 2: federal level, they don't recognize gender identity, they recognize gender 359 00:18:25,320 --> 00:18:27,840 Speaker 2: right California is a little bit different, and I'm okay 360 00:18:27,880 --> 00:18:29,520 Speaker 2: with that. I think you have to have a baseline 361 00:18:29,560 --> 00:18:31,199 Speaker 2: when it comes to civil rightsts. To have a baseline, 362 00:18:31,240 --> 00:18:34,520 Speaker 2: here's how everybody, everyone is going to get these protections. 363 00:18:34,880 --> 00:18:38,680 Speaker 2: Different states may have different needs. We're a very large country, 364 00:18:39,200 --> 00:18:41,399 Speaker 2: three and almost three hundred and fifty million people in 365 00:18:41,400 --> 00:18:43,800 Speaker 2: this country. That and we live in different pockets that 366 00:18:43,840 --> 00:18:45,800 Speaker 2: have different interests. And I think it's important that states 367 00:18:45,800 --> 00:18:49,920 Speaker 2: still have some rights when it comes to the AI stuff. Yeah, 368 00:18:50,240 --> 00:18:54,200 Speaker 2: guardrails baselines federal, but states still have to have some say, 369 00:18:55,520 --> 00:18:57,720 Speaker 2: all right, you trust your doctor to make the call 370 00:18:57,760 --> 00:19:00,320 Speaker 2: on your care. But somehow, now somebody wants to bring 371 00:19:00,359 --> 00:19:03,840 Speaker 2: an algorithm into your conversation, right there into the exam room. 372 00:19:04,160 --> 00:19:06,840 Speaker 2: The real reason that people flinch when AI touches their 373 00:19:06,840 --> 00:19:08,280 Speaker 2: medical bills is next, Chris Merrill. 374 00:19:09,440 --> 00:19:12,880 Speaker 1: You're listening to KFI AM six forty on demand. 375 00:19:15,160 --> 00:19:16,960 Speaker 2: Come Chris Merrill is in any time on demand of 376 00:19:17,000 --> 00:19:20,040 Speaker 2: the iHeartRadio app. Remember when you are on that app, 377 00:19:20,080 --> 00:19:25,280 Speaker 2: you can hit the talk back button. Questions, comments, qus quotes, criticisms, compliments, 378 00:19:25,320 --> 00:19:29,480 Speaker 2: whatever you got to say, as long as it's illiterative. Yeah, 379 00:19:29,480 --> 00:19:31,359 Speaker 2: that's what I like the best. Yeah, well, David, it 380 00:19:31,400 --> 00:19:34,080 Speaker 2: was good I played on the air. If we've moved on, 381 00:19:34,160 --> 00:19:35,480 Speaker 2: I won't, but I do see all of them that 382 00:19:35,800 --> 00:19:40,520 Speaker 2: come through them. There is boy Mark, You're such a 383 00:19:40,560 --> 00:19:42,919 Speaker 2: lud eight when it comes to AI. We're back to 384 00:19:42,960 --> 00:19:46,520 Speaker 2: this here, we are back to this because let me 385 00:19:46,560 --> 00:19:48,119 Speaker 2: see if I can convince you on this one. I 386 00:19:48,119 --> 00:19:50,720 Speaker 2: don't think this is a tall order trying to convince 387 00:19:50,760 --> 00:19:55,080 Speaker 2: you anything, but I do think there are places where 388 00:19:55,080 --> 00:20:00,080 Speaker 2: it is beneficial. And one of the places is that 389 00:20:00,160 --> 00:20:03,320 Speaker 2: medicare wants to start using AI to take a look 390 00:20:03,359 --> 00:20:08,480 Speaker 2: at claims and pre offs. So this is from nine 391 00:20:08,480 --> 00:20:11,920 Speaker 2: News Denver, who was talking with one of the providers there. 392 00:20:12,119 --> 00:20:14,159 Speaker 4: Well, so it sounds like a good idea, right right not? 393 00:20:14,520 --> 00:20:17,080 Speaker 4: I mean AI has kind of penetrated every aspect of 394 00:20:17,119 --> 00:20:20,639 Speaker 4: our lives. Why don't we have AI? Right the prior authorization, 395 00:20:20,800 --> 00:20:23,520 Speaker 4: submit it to the insurance company. But if a human 396 00:20:23,560 --> 00:20:26,880 Speaker 4: being is not looking on the other end, the AI algorithm, 397 00:20:27,000 --> 00:20:30,840 Speaker 4: which many think is designed to reject everything that's high cost, 398 00:20:31,440 --> 00:20:32,760 Speaker 4: rejects the services. 399 00:20:33,359 --> 00:20:40,919 Speaker 2: Okay, just quick background. This is my wife's fortec. You 400 00:20:40,960 --> 00:20:45,760 Speaker 2: know she's she's I'm so fortunate I always say you 401 00:20:45,800 --> 00:20:50,000 Speaker 2: should marry someone that compliments you. I married someone that 402 00:20:50,000 --> 00:20:52,280 Speaker 2: can do my taxes and also take care of the 403 00:20:52,280 --> 00:20:55,280 Speaker 2: medical insurance. It's all I need. That's great. You know what, honey, 404 00:20:55,320 --> 00:20:57,520 Speaker 2: you take care. I'll cook dinner, that's fine. I'll do 405 00:20:57,560 --> 00:21:00,520 Speaker 2: the laundry, that's fine. I'll shovel the driveway that's I'll 406 00:21:00,600 --> 00:21:03,640 Speaker 2: raise the children, that's fine. You fight with the insurance companies, 407 00:21:03,680 --> 00:21:09,000 Speaker 2: that's great. That's what she does, sir, job contracting, compliance, billing. 408 00:21:09,080 --> 00:21:11,560 Speaker 2: She's a coder, she does all this stuff. She runs 409 00:21:11,560 --> 00:21:13,720 Speaker 2: a consulting business now, and I'm very fortunate. She's the 410 00:21:13,720 --> 00:21:16,920 Speaker 2: bread winner. She's the best lover. She's awesome. Can't tell 411 00:21:16,960 --> 00:21:19,200 Speaker 2: you how many conversations we have where she says, sweetheart, 412 00:21:19,240 --> 00:21:23,200 Speaker 2: they're all idiots. Now, granted, if you work in any environment, 413 00:21:23,240 --> 00:21:25,800 Speaker 2: you probably deal with people from other companies or even customers, 414 00:21:25,840 --> 00:21:27,760 Speaker 2: and you think that they're all idiots. That's fair, we 415 00:21:27,840 --> 00:21:31,000 Speaker 2: all do. I get that. But here's where this really 416 00:21:31,000 --> 00:21:38,680 Speaker 2: takes a turn. Insurance companies make money by hiring idiots. 417 00:21:40,080 --> 00:21:43,359 Speaker 2: If you are intelligent, you get promoted very quickly at 418 00:21:43,400 --> 00:21:46,320 Speaker 2: an insurance company. Do you know why that is? It's 419 00:21:46,320 --> 00:21:50,480 Speaker 2: because They don't want you dealing with the customers. They 420 00:21:50,520 --> 00:21:54,160 Speaker 2: want idiots dealing with the customers, so they have plausible deniability. 421 00:21:54,560 --> 00:21:57,600 Speaker 2: They go, oh, did you call on that, because we 422 00:21:57,640 --> 00:21:59,080 Speaker 2: don't see it in the notes here. Well, did your 423 00:21:59,080 --> 00:22:01,119 Speaker 2: person write notes? Oh? I don't know. They might not 424 00:22:01,240 --> 00:22:03,400 Speaker 2: have their idiots, but if they're not in the notes, 425 00:22:03,400 --> 00:22:04,920 Speaker 2: you know, we can't. We can't go back and say 426 00:22:04,960 --> 00:22:06,400 Speaker 2: that that we talked to you about it. So we're 427 00:22:06,400 --> 00:22:09,840 Speaker 2: gonna deny that claim. There is a there was a 428 00:22:10,000 --> 00:22:11,240 Speaker 2: My wife was telling me about this. She had to 429 00:22:11,280 --> 00:22:13,080 Speaker 2: leave a company she worked for early on in her career. 430 00:22:13,119 --> 00:22:15,199 Speaker 2: There's an insurance company she was on the insurance side. 431 00:22:16,040 --> 00:22:23,119 Speaker 2: Their policy was okay. Briefly, Duplicate claims happen all the time. 432 00:22:23,400 --> 00:22:26,800 Speaker 2: It's when it's when a provider, a doctor or a 433 00:22:26,800 --> 00:22:31,159 Speaker 2: clinic will send a claim in and say, look, insurance company, 434 00:22:31,160 --> 00:22:33,679 Speaker 2: you owe us for this service that we provided, and 435 00:22:33,720 --> 00:22:35,560 Speaker 2: then if they don't hear back from the insurance company, 436 00:22:35,600 --> 00:22:39,400 Speaker 2: they'll send another one. That's called a duplicate or a dupe. 437 00:22:40,160 --> 00:22:42,280 Speaker 2: And what happens is the insurance companies will see that 438 00:22:42,280 --> 00:22:44,679 Speaker 2: second one. We'll go you know what, Thanks, thanks for 439 00:22:44,720 --> 00:22:46,600 Speaker 2: reminding us, we already have it, and then they'll they'll 440 00:22:46,640 --> 00:22:49,560 Speaker 2: basically say, ignore that one. Just ignore that one. We 441 00:22:49,600 --> 00:22:52,040 Speaker 2: call it a dupe, and that one just gets automatically 442 00:22:52,040 --> 00:22:54,000 Speaker 2: denied because we already have the first one in the system. 443 00:22:54,760 --> 00:22:58,439 Speaker 2: Totally normal practice, right, that's normal. What's not normal is 444 00:22:59,359 --> 00:23:01,879 Speaker 2: there was a this happened in her office and she 445 00:23:01,920 --> 00:23:04,560 Speaker 2: was telling me about it. She was just mortified. The 446 00:23:04,640 --> 00:23:08,600 Speaker 2: policy was, when in doubt, dupe it out. In other words, 447 00:23:08,680 --> 00:23:11,399 Speaker 2: if you see a claim and it looks funny to you, 448 00:23:12,440 --> 00:23:15,840 Speaker 2: stamp it as a duplicate and throw it away. That 449 00:23:15,960 --> 00:23:19,200 Speaker 2: was the insurance policy. If that claim was too much 450 00:23:19,280 --> 00:23:22,200 Speaker 2: and you weren't sure if we should pay it, pretend 451 00:23:22,240 --> 00:23:26,520 Speaker 2: we didn't get it, throw it out. When in doubt, 452 00:23:26,640 --> 00:23:32,240 Speaker 2: dupe it out. That was the internal policy of this company. 453 00:23:33,160 --> 00:23:35,159 Speaker 2: That's been thirty years. I think this company's been absorbed 454 00:23:35,160 --> 00:23:39,040 Speaker 2: by about six other insurance companies since then. But the 455 00:23:39,080 --> 00:23:41,639 Speaker 2: whole policy was, if it's too much, deny the claim. 456 00:23:41,680 --> 00:23:44,040 Speaker 2: Now we're worried about AI doing that, but I'm telling 457 00:23:44,080 --> 00:23:45,120 Speaker 2: you that's not different. 458 00:23:45,960 --> 00:23:49,639 Speaker 4: Starts to question the doctor's decision making, and patients are 459 00:23:49,640 --> 00:23:52,200 Speaker 4: sort of left fighting for their own care. So it's 460 00:23:52,280 --> 00:23:53,040 Speaker 4: really contrabard. 461 00:23:53,080 --> 00:23:54,960 Speaker 2: Patients are already fighting for their own care. 462 00:23:55,040 --> 00:23:57,280 Speaker 4: Troversial in medicine because a lot of private companies have 463 00:23:57,359 --> 00:24:01,440 Speaker 4: already launched this, and physicians one percent of physicians feel 464 00:24:01,480 --> 00:24:04,320 Speaker 4: that there has been an increase in denials since this 465 00:24:04,480 --> 00:24:04,960 Speaker 4: came through. 466 00:24:05,920 --> 00:24:10,720 Speaker 2: That's again, that's policy. That's not because some private companies 467 00:24:10,760 --> 00:24:14,840 Speaker 2: have started using AI. It's because it's policy, that's their practice. 468 00:24:15,160 --> 00:24:19,280 Speaker 2: This is why people are so upset with the American 469 00:24:19,760 --> 00:24:23,840 Speaker 2: healthcare system. It's why one guy went and even assassinated 470 00:24:23,840 --> 00:24:27,199 Speaker 2: the head of UHC United Healthcare, the largest insurer in 471 00:24:27,200 --> 00:24:30,920 Speaker 2: the country. Now, I'm not saying this is absolutely not justified, 472 00:24:31,000 --> 00:24:35,760 Speaker 2: never justified. I absolutely abhor that sort of thing, But 473 00:24:35,880 --> 00:24:38,240 Speaker 2: you know what his motivation was. You don't agree with it, 474 00:24:38,280 --> 00:24:40,480 Speaker 2: but you know what his motivation was. It it was 475 00:24:40,560 --> 00:24:43,639 Speaker 2: the policy. So now we're saying, well, we're gonna have 476 00:24:43,640 --> 00:24:44,439 Speaker 2: the computers do it. 477 00:24:44,520 --> 00:24:46,800 Speaker 4: Now the insurance companies are saying, no, that's not the case. 478 00:24:47,080 --> 00:24:49,399 Speaker 4: Our doctors always look at it. But that certainly the 479 00:24:49,480 --> 00:24:51,160 Speaker 4: concern is could this be abused? 480 00:24:52,119 --> 00:24:56,440 Speaker 2: Could it be abused? Yeah, and now Medicare is gonna 481 00:24:56,440 --> 00:24:58,280 Speaker 2: start using this, You're gonna hear from doctor Oz after 482 00:24:58,440 --> 00:25:00,000 Speaker 2: we get a news update from Marc here in Midt 483 00:25:00,720 --> 00:25:04,560 Speaker 2: doctor Oz talking about the policy and the practice. But 484 00:25:04,640 --> 00:25:13,119 Speaker 2: I'm telling you it can't get any worse. It absolutely cannot. 485 00:25:13,880 --> 00:25:15,720 Speaker 2: I'll tell you what doctor I says about this in 486 00:25:15,760 --> 00:25:18,160 Speaker 2: just a few moments, what this program is called and 487 00:25:18,200 --> 00:25:21,920 Speaker 2: what you can expect, and also all of the arguments 488 00:25:21,960 --> 00:25:26,879 Speaker 2: about it are just Blowney. There's a new plan by 489 00:25:26,880 --> 00:25:29,119 Speaker 2: the administration that it could put your health care in 490 00:25:29,160 --> 00:25:31,040 Speaker 2: the hands of her brother in the circuit boards of 491 00:25:31,040 --> 00:25:35,480 Speaker 2: the AI. Judge. Your demise is next, Chris Merril. 492 00:25:37,040 --> 00:25:40,840 Speaker 1: You're listening to KFI AM six forty on demand. 493 00:25:45,160 --> 00:25:47,680 Speaker 2: But after marks nine o'clock news, and we'll talk about 494 00:25:47,680 --> 00:25:50,840 Speaker 2: this hostile big takeover and how this has absolutely got 495 00:25:50,880 --> 00:25:55,840 Speaker 2: the entertainment gurus, people whose livelihoods depend on entertainment just 496 00:25:56,119 --> 00:25:59,600 Speaker 2: spinning after Paramount steps in and says no, no, no, no, Warner, 497 00:25:59,640 --> 00:26:02,880 Speaker 2: don't Netflix. That is a that's coming up here after 498 00:26:03,200 --> 00:26:07,120 Speaker 2: nine o'clock. In the meantime, we were just discussing that 499 00:26:07,680 --> 00:26:12,159 Speaker 2: Medicare is going to start using AI to evaluate pre 500 00:26:12,200 --> 00:26:16,000 Speaker 2: authorizations and potentially reject claims. Now, private companies have been 501 00:26:16,040 --> 00:26:18,720 Speaker 2: doing this for a while in fact, Signa is being 502 00:26:18,760 --> 00:26:22,440 Speaker 2: sued for using AI. One of the country's largest health 503 00:26:22,440 --> 00:26:25,280 Speaker 2: insurance companies is facing a class action lawsuit, and this 504 00:26:25,359 --> 00:26:29,679 Speaker 2: is actually it's been going on for a couple of years. 505 00:26:31,000 --> 00:26:33,600 Speaker 2: The allegation was that they used artificial intelligence to deny 506 00:26:33,720 --> 00:26:37,760 Speaker 2: hundreds of thousands of claims without a physician's review. And 507 00:26:37,840 --> 00:26:40,960 Speaker 2: they say that Signa denied policy holders the thorough individualized 508 00:26:41,000 --> 00:26:43,720 Speaker 2: physician review of claims guaranteed to them by California law, 509 00:26:43,960 --> 00:26:46,200 Speaker 2: and that the payments for necessary medical procedures owed to 510 00:26:46,240 --> 00:26:49,480 Speaker 2: them under Signa's health insurance policies. So they've got about 511 00:26:49,480 --> 00:26:51,200 Speaker 2: two million members in the state. So here's the thing. 512 00:26:53,119 --> 00:26:57,399 Speaker 2: If you have hundreds of thousands of claims, who do 513 00:26:57,440 --> 00:27:03,760 Speaker 2: you think is reviewing that? Yeah? Theysicians. Yeah, practicing physicians. 514 00:27:04,560 --> 00:27:07,359 Speaker 2: They are people that the insurance company paid to come 515 00:27:07,400 --> 00:27:12,520 Speaker 2: in and write MD or DO next to their names 516 00:27:12,800 --> 00:27:17,760 Speaker 2: when they denied claims. It's not as though the insurance 517 00:27:17,760 --> 00:27:21,359 Speaker 2: company is offering you a second opinion. The insurance company 518 00:27:21,440 --> 00:27:25,280 Speaker 2: is paying doctors to not be doctors, but to use 519 00:27:25,320 --> 00:27:27,640 Speaker 2: the MD and the DO after their names in order 520 00:27:27,760 --> 00:27:31,679 Speaker 2: to say denied. It is not as though there's an 521 00:27:31,680 --> 00:27:34,360 Speaker 2: individual physician, who really gives a damn that your name 522 00:27:34,400 --> 00:27:37,240 Speaker 2: is on a claim. All they care about is who's 523 00:27:37,280 --> 00:27:40,760 Speaker 2: paying me, the insurance company, and what do they want denied. 524 00:27:42,200 --> 00:27:46,240 Speaker 2: That's how it works right now. Doctor Oz was on 525 00:27:46,359 --> 00:27:51,000 Speaker 2: Squakbox talking about the new plan here with AI being 526 00:27:51,080 --> 00:27:54,800 Speaker 2: used for the Medicare claim process. 527 00:27:54,880 --> 00:27:57,280 Speaker 5: You can't be a wealthy nation without being a healthy nation. 528 00:27:57,520 --> 00:27:58,960 Speaker 5: But we need to make sure that the money is 529 00:27:58,960 --> 00:28:01,000 Speaker 5: spent in the right in the right place. So when 530 00:28:01,040 --> 00:28:03,439 Speaker 5: you go to a checkout counter, you put your debit 531 00:28:03,480 --> 00:28:06,520 Speaker 5: card in it, immediately are told whether you have money 532 00:28:06,520 --> 00:28:08,679 Speaker 5: in the bank, so that the vendor knows that they 533 00:28:08,680 --> 00:28:10,600 Speaker 5: are getting paid and that you know you can actually 534 00:28:10,640 --> 00:28:11,119 Speaker 5: pay for it. 535 00:28:11,440 --> 00:28:14,159 Speaker 2: We need something equivalent to that with prior authorization. 536 00:28:14,240 --> 00:28:17,080 Speaker 5: That's not what's happening now for private insurance companies and 537 00:28:17,119 --> 00:28:21,480 Speaker 5: for Medicare advantage. Oftentimes these programs are used as weapons 538 00:28:21,480 --> 00:28:24,280 Speaker 5: the deprived care. It's done for a variety of reasons, 539 00:28:24,320 --> 00:28:26,000 Speaker 5: but if we could make it work the way it's. 540 00:28:25,880 --> 00:28:29,119 Speaker 2: Supposed to work now. It's done for one reason, profit. 541 00:28:29,440 --> 00:28:32,000 Speaker 5: To allow us to adjudicate for sure that you're getting 542 00:28:32,000 --> 00:28:34,000 Speaker 5: the right care in the right place. You're not having 543 00:28:34,080 --> 00:28:37,600 Speaker 5: some unscrupulous individual doing an unnecessary procedure or giving you 544 00:28:37,600 --> 00:28:40,520 Speaker 5: an unneeded medication. That's a helpful thing for the system. 545 00:28:40,560 --> 00:28:42,720 Speaker 5: We think it could actually be about one hundred billion 546 00:28:42,800 --> 00:28:45,719 Speaker 5: dollars of benefit to the American people to attach pay 547 00:28:45,760 --> 00:28:48,959 Speaker 5: if you can use these services appropriately. So the President 548 00:28:49,120 --> 00:28:51,520 Speaker 5: used the power to convene, as he often does. He 549 00:28:51,640 --> 00:28:55,160 Speaker 5: realizes you can be nimble if you can get industry 550 00:28:55,240 --> 00:28:57,719 Speaker 5: to start doing the right thing. So he asked us 551 00:28:57,720 --> 00:29:00,920 Speaker 5: to pull together the insurance companies in America. We got 552 00:29:00,960 --> 00:29:03,880 Speaker 5: about the roughly eighty percent of the people in America's 553 00:29:03,880 --> 00:29:08,720 Speaker 5: insurance companies now pledging to do something with prior authorization. 554 00:29:09,040 --> 00:29:12,560 Speaker 5: They announced it at ahh's headquarters with Secretary Kennedy and myself. 555 00:29:12,600 --> 00:29:15,200 Speaker 5: We had members of Congress there and they have said, oh. 556 00:29:15,160 --> 00:29:16,240 Speaker 2: Yeah, is that the one where the guy had the 557 00:29:16,280 --> 00:29:20,760 Speaker 2: medical emergency? And Oz jumped in and and Bobby Kennedy 558 00:29:20,880 --> 00:29:23,360 Speaker 2: like excused himself. Oh that's right. He fled the room. 559 00:29:23,360 --> 00:29:27,120 Speaker 2: You can see like a cartoon cloud of smoke beyond. Yeah. 560 00:29:27,160 --> 00:29:28,240 Speaker 2: I gotta give Oz credit. 561 00:29:28,240 --> 00:29:28,400 Speaker 4: Man. 562 00:29:28,400 --> 00:29:30,160 Speaker 2: He jumped right on that. He was like, I mean, 563 00:29:30,160 --> 00:29:32,320 Speaker 2: he went straight into doctor mode when he saw somebody 564 00:29:32,320 --> 00:29:33,240 Speaker 2: having a problem bowed. 565 00:29:33,440 --> 00:29:36,160 Speaker 5: By the end of this calendar year, they will reduce 566 00:29:36,200 --> 00:29:40,080 Speaker 5: the number of procedures for which prior authorization is required, 567 00:29:40,160 --> 00:29:42,160 Speaker 5: only the ones that are most important. They're going to 568 00:29:42,200 --> 00:29:45,760 Speaker 5: be very clear on what the criteria are forgetting these 569 00:29:45,800 --> 00:29:48,720 Speaker 5: procedures of these medications, and by next year they'll do 570 00:29:48,760 --> 00:29:49,320 Speaker 5: it digitally. 571 00:29:49,360 --> 00:29:50,760 Speaker 2: So just like that debit card. 572 00:29:50,520 --> 00:29:52,719 Speaker 5: Goes in and tells you immediately, not in two weeks, 573 00:29:52,960 --> 00:29:55,440 Speaker 5: rite that moment, whether you have money to buy that cappuccino, 574 00:29:55,680 --> 00:29:57,000 Speaker 5: we'll be able to do the same thing for the 575 00:29:57,040 --> 00:29:57,720 Speaker 5: American people. 576 00:29:57,760 --> 00:30:00,480 Speaker 2: Look, I actually think this is good. And I know 577 00:30:00,520 --> 00:30:02,520 Speaker 2: a lot of you are concerned about AI reviewing your 578 00:30:02,520 --> 00:30:07,440 Speaker 2: medical claims, but I do think it's good because another example, 579 00:30:07,480 --> 00:30:11,680 Speaker 2: my wife called on a claim. She was representing what 580 00:30:11,760 --> 00:30:16,320 Speaker 2: her client in this case was a rehab clinic, and 581 00:30:16,400 --> 00:30:18,200 Speaker 2: so she was calling to follow up on a claim 582 00:30:18,760 --> 00:30:22,280 Speaker 2: and they were they were trying to discuss whether or 583 00:30:22,320 --> 00:30:24,920 Speaker 2: not it was eligible based on the contract with that clinic. 584 00:30:25,720 --> 00:30:27,840 Speaker 2: And so she was going through and she was using 585 00:30:28,320 --> 00:30:32,760 Speaker 2: basic terminology, and the customer service rep on the other 586 00:30:32,840 --> 00:30:34,600 Speaker 2: end didn't know what the words were. She didn't know 587 00:30:34,600 --> 00:30:37,680 Speaker 2: what it meant, she didn't know what the daily rate was. 588 00:30:37,720 --> 00:30:39,560 Speaker 2: She had no idea. What do you mean daily rate? 589 00:30:39,640 --> 00:30:43,160 Speaker 2: What does that mean? Well, it's a facility, they mean 590 00:30:43,240 --> 00:30:45,160 Speaker 2: daily rate. She didn't know what a daily rate was. 591 00:30:46,400 --> 00:30:49,720 Speaker 2: So again, the insurance companies in this case, it wasn't 592 00:30:49,760 --> 00:30:53,480 Speaker 2: Medicare and Medicative, it was private. The insurance companies higher idiots, 593 00:30:54,520 --> 00:30:56,800 Speaker 2: and then they don't train them. They might not even 594 00:30:56,800 --> 00:30:59,720 Speaker 2: be idiots. They might be perfectly intelligent people who just 595 00:30:59,720 --> 00:31:01,520 Speaker 2: are not being trained well. And they don't want to 596 00:31:01,560 --> 00:31:03,040 Speaker 2: train them well because if they train them well, they 597 00:31:03,120 --> 00:31:06,200 Speaker 2: might actually end up accidentally paying out claims they're supposed 598 00:31:06,240 --> 00:31:09,720 Speaker 2: to claim pay excuse me, at least with AI, it's 599 00:31:09,760 --> 00:31:13,440 Speaker 2: pretty it's pretty cut and dry. Here's what the contract says. 600 00:31:13,920 --> 00:31:17,280 Speaker 2: Here's what the claim is. Here's what the doctor's notes are. 601 00:31:18,160 --> 00:31:18,520 Speaker 5: Is that. 602 00:31:20,040 --> 00:31:24,280 Speaker 2: Eligible for pre off? Is that eligible for payment? Yes? Yes, yes, checkbox, checkbox, 603 00:31:24,360 --> 00:31:30,000 Speaker 2: checkbox done. Streamline it take the human error out of it. 604 00:31:30,720 --> 00:31:32,720 Speaker 2: I know, Mark, you're gonna say no, no, no, you've 605 00:31:32,720 --> 00:31:35,760 Speaker 2: got You were just complaining earlier this hour. I was 606 00:31:36,440 --> 00:31:39,360 Speaker 2: that you keep telling chat GPT not to use the 607 00:31:39,520 --> 00:31:41,320 Speaker 2: m dash, but it keeps doing it anyway, What makes 608 00:31:41,360 --> 00:31:42,720 Speaker 2: you think it's going to be better at its job 609 00:31:42,720 --> 00:31:44,920 Speaker 2: when it comes to analyzing claims. Well, the thing I 610 00:31:44,960 --> 00:31:48,160 Speaker 2: love the most about the AI insurance decisions is that 611 00:31:48,200 --> 00:31:51,880 Speaker 2: they're essentially robot death panels. Do you remember we had 612 00:31:52,240 --> 00:31:55,000 Speaker 2: these discussions about this another Blain Runner reference. No, no, no, 613 00:31:55,240 --> 00:31:57,360 Speaker 2: I'm not going to hit you with any more movie stuff. 614 00:31:57,760 --> 00:32:00,760 Speaker 2: I gotta figure here. When United Health, Human and Signa 615 00:32:00,840 --> 00:32:04,000 Speaker 2: used AI to process claims, claims were denied with a 616 00:32:04,200 --> 00:32:07,160 Speaker 2: ninety error rate. So you're just replacing human error with 617 00:32:07,200 --> 00:32:11,320 Speaker 2: computer error. I mean, it's just six and one half 618 00:32:11,360 --> 00:32:13,600 Speaker 2: a dozen of the other. What do you like? Yes, 619 00:32:13,720 --> 00:32:16,560 Speaker 2: you like a human imbecile or a computer imbecile. Well, 620 00:32:16,600 --> 00:32:18,000 Speaker 2: I guess you could say at least with the human 621 00:32:18,040 --> 00:32:21,640 Speaker 2: imbecile that we're paying somebody, right, I mean, that is 622 00:32:21,720 --> 00:32:23,080 Speaker 2: that is the dark side of this, is that we're 623 00:32:23,080 --> 00:32:25,240 Speaker 2: going to be replacing an awful lot of people with those. 624 00:32:26,600 --> 00:32:30,600 Speaker 2: But I got another figure here. Go fund Me has 625 00:32:30,720 --> 00:32:34,760 Speaker 2: two hundred and fifty thousand pages for medical bills. Those 626 00:32:34,800 --> 00:32:39,040 Speaker 2: figures are wow. Okay, So every time somebody's denied, they 627 00:32:39,040 --> 00:32:42,000 Speaker 2: got to go somewhere. Yeah they need the care, Yeah 628 00:32:42,800 --> 00:32:46,320 Speaker 2: they do, And it's rude of them not to just die. 629 00:32:46,400 --> 00:32:49,600 Speaker 2: But yeah, how dare they here? We are a lot 630 00:32:49,640 --> 00:32:52,840 Speaker 2: of a lot of hospitals will offer hardship programs. A 631 00:32:52,880 --> 00:32:54,960 Speaker 2: lot of people don't know that. They just have to ask. 632 00:32:55,080 --> 00:32:56,880 Speaker 2: But these may not even be hospitals. They could be 633 00:32:56,880 --> 00:32:58,719 Speaker 2: that the hospital already settled their bill. But now you've 634 00:32:58,720 --> 00:33:00,680 Speaker 2: got to deal with the anesthesiologist and the doctor and 635 00:33:00,920 --> 00:33:03,280 Speaker 2: whatever else, all the other stuff. All right, You watch 636 00:33:03,320 --> 00:33:05,520 Speaker 2: the movies, you pay for the subscriptions. Meanwhile, studios are 637 00:33:05,520 --> 00:33:09,040 Speaker 2: getting swallowed up by billionaires and foreign investors and political insiders. 638 00:33:09,040 --> 00:33:12,000 Speaker 2: So who's ultimately winning in our studio game of Thrones? 639 00:33:12,040 --> 00:33:12,520 Speaker 2: That's next? 640 00:33:12,560 --> 00:33:16,280 Speaker 1: Chris Merrill, KFI AM six forty on demand