1 00:00:00,880 --> 00:00:04,760 Speaker 1: You're listening to KFI AM six forty on demand. 2 00:00:08,520 --> 00:00:09,080 Speaker 2: And good evening. 3 00:00:09,080 --> 00:00:11,960 Speaker 3: I'm Chris Merril k I AM six forty more stimulating 4 00:00:12,000 --> 00:00:14,800 Speaker 3: talking on demand anytime in the iHeartRadio app. Portions of 5 00:00:14,800 --> 00:00:16,320 Speaker 3: this segment have been written by AI. 6 00:00:16,680 --> 00:00:27,720 Speaker 2: Ah come on, like I'm replacing myself. Dang I uh. 7 00:00:29,960 --> 00:00:34,080 Speaker 3: I started using AI a little bit. I feel like 8 00:00:34,120 --> 00:00:36,840 Speaker 3: I gotta get familiar with it. Do you ever feel 9 00:00:36,840 --> 00:00:39,839 Speaker 3: like the technology is changing and if you don't keep up, 10 00:00:39,840 --> 00:00:42,240 Speaker 3: you're gonna get left behind When it comes to the 11 00:00:42,320 --> 00:00:44,680 Speaker 3: AI stuff. I think of like when the Internet came 12 00:00:45,760 --> 00:00:50,000 Speaker 3: came to prominence, and there's that famous clip of Kitty 13 00:00:50,080 --> 00:00:55,160 Speaker 3: Kuric and Brian Gumbele talking about email, and like, email, 14 00:00:55,200 --> 00:00:55,680 Speaker 3: what is it? 15 00:00:55,920 --> 00:00:57,640 Speaker 2: What's so wrong with just sending a letter? 16 00:00:57,720 --> 00:01:00,760 Speaker 3: I don't understand this right, And of course it didn't 17 00:01:00,800 --> 00:01:02,440 Speaker 3: age very well. They're like, no one's ever going to 18 00:01:02,520 --> 00:01:04,880 Speaker 3: catch onto this, and of course obviously our retire lives 19 00:01:04,880 --> 00:01:07,880 Speaker 3: are wrapped up in the internet. For Pete's sake, AWS 20 00:01:07,920 --> 00:01:10,360 Speaker 3: went down for a couple of hours yesterday and it 21 00:01:10,440 --> 00:01:13,160 Speaker 3: was like the whole world came to a standstill. So 22 00:01:14,440 --> 00:01:19,040 Speaker 3: I'm just terrified that that AI is going to become 23 00:01:19,160 --> 00:01:24,120 Speaker 3: so prevalent. It's sort of like when you apply for 24 00:01:24,160 --> 00:01:27,320 Speaker 3: a job now, right, there was a time where you 25 00:01:27,360 --> 00:01:29,759 Speaker 3: would apply for a job and on your resume under 26 00:01:29,760 --> 00:01:36,160 Speaker 3: skills you would say, you know, word excel something like that. Now, 27 00:01:36,200 --> 00:01:39,080 Speaker 3: if you say that, it kind of makes you look 28 00:01:39,120 --> 00:01:42,840 Speaker 3: completely out of touch. The assumption is you're proficient with 29 00:01:42,880 --> 00:01:45,759 Speaker 3: a word processor, just is. 30 00:01:47,600 --> 00:01:47,840 Speaker 2: Mark. 31 00:01:47,880 --> 00:01:51,360 Speaker 3: You write news stories all the time. If you were 32 00:01:51,400 --> 00:01:53,560 Speaker 3: applying for a job as a news editor, would you 33 00:01:53,680 --> 00:01:58,760 Speaker 3: say proficient and word that would just be assumed, wouldn't it. 34 00:01:59,480 --> 00:02:01,600 Speaker 4: Well, yeah, you want to you want to have the 35 00:02:01,680 --> 00:02:02,560 Speaker 4: basics covered. 36 00:02:03,080 --> 00:02:07,800 Speaker 3: Yeah, So, I mean it would be like in nineteen 37 00:02:07,880 --> 00:02:10,000 Speaker 3: ninety four you maybe would have put on your resume 38 00:02:10,200 --> 00:02:15,120 Speaker 3: like something about your your familiarity with the emerging tech, 39 00:02:15,160 --> 00:02:18,040 Speaker 3: including the Internet. But if you were to go to 40 00:02:18,080 --> 00:02:20,440 Speaker 3: a job now and say I'm good at internet, they go, 41 00:02:20,600 --> 00:02:24,359 Speaker 3: who isn't dope? We all know how the internet works. 42 00:02:24,840 --> 00:02:28,079 Speaker 3: So I'm a little concerned with the ai that it's 43 00:02:28,639 --> 00:02:33,280 Speaker 3: that it's going to be and assumed like a requirement 44 00:02:33,320 --> 00:02:36,400 Speaker 3: that is not only not only mandatory, but also assumed 45 00:02:36,400 --> 00:02:38,080 Speaker 3: that you know it, because if you don't, you just 46 00:02:38,120 --> 00:02:41,239 Speaker 3: won't get a job. That's my worry, and I don't 47 00:02:41,240 --> 00:02:44,079 Speaker 3: want to be somebody who's left behind. And my wife, 48 00:02:44,080 --> 00:02:48,679 Speaker 3: to her credit, has been way up on AI. She's 49 00:02:48,840 --> 00:02:52,720 Speaker 3: she's been using it since like chat, GPT version one 50 00:02:52,800 --> 00:02:55,480 Speaker 3: point five or something, right, I mean, she's she's ahead 51 00:02:55,480 --> 00:02:56,880 Speaker 3: of the game on it. She kept telling me you 52 00:02:56,919 --> 00:02:58,440 Speaker 3: got to use you, gotta use it. I just hated it. 53 00:02:58,680 --> 00:03:03,520 Speaker 3: I hated it. I was resistant. I continue to find it. 54 00:03:03,520 --> 00:03:06,960 Speaker 3: It is flawed. I have to double check the work, 55 00:03:07,000 --> 00:03:07,840 Speaker 3: all kinds of things. 56 00:03:08,040 --> 00:03:10,079 Speaker 4: Not a lot of upsides to it turns out well, 57 00:03:10,120 --> 00:03:13,160 Speaker 4: and we're finding out more about that every single day. 58 00:03:13,400 --> 00:03:18,480 Speaker 3: Yes, yes, I would say yes, But as with any tech, 59 00:03:18,600 --> 00:03:22,120 Speaker 3: there's a curve, right. And I had a friend that said, 60 00:03:22,320 --> 00:03:24,280 Speaker 3: you know, what's the point, How does this? Does this 61 00:03:24,360 --> 00:03:25,880 Speaker 3: make you better at your job? But I said, I 62 00:03:25,919 --> 00:03:29,959 Speaker 3: don't know that it does yet. In the same way 63 00:03:30,000 --> 00:03:35,000 Speaker 3: that radio hosts in nineteen ninety two would open the newspaper, 64 00:03:35,400 --> 00:03:37,720 Speaker 3: take a look at what the stories are, and then say, oh, 65 00:03:37,720 --> 00:03:40,440 Speaker 3: I'll talk about this, there was no way to do 66 00:03:40,520 --> 00:03:43,480 Speaker 3: additional research. There was no way to kind of compare 67 00:03:43,520 --> 00:03:45,960 Speaker 3: it to other stories or or a way to go God, 68 00:03:46,120 --> 00:03:46,680 Speaker 3: it sure. 69 00:03:46,600 --> 00:03:49,160 Speaker 2: Seems like you know that that heist at the Louver. 70 00:03:50,240 --> 00:03:53,480 Speaker 3: It seems like there was another heist, wasn't wasn't the 71 00:03:53,520 --> 00:03:55,600 Speaker 3: Mona Lisa involved in that? And in the old days, 72 00:03:55,600 --> 00:03:57,440 Speaker 3: you'd ask around the newsroom, does anybody remember the Mona 73 00:03:57,520 --> 00:03:58,000 Speaker 3: Lisa heist? 74 00:03:58,040 --> 00:03:59,040 Speaker 2: Anybody know anything about that? 75 00:03:59,400 --> 00:04:01,520 Speaker 3: Somebody might say I did a paper on in college, 76 00:04:02,240 --> 00:04:04,200 Speaker 3: but for the most part you didn't know. Then the 77 00:04:04,200 --> 00:04:07,440 Speaker 3: Internet comes along and in seconds you got it there 78 00:04:07,440 --> 00:04:10,000 Speaker 3: it is, oh yeah, Mona Lisa heist, loup done, nineteen 79 00:04:10,040 --> 00:04:15,040 Speaker 3: thirty whatever, it was done. But now there is some resistance. 80 00:04:15,120 --> 00:04:16,720 Speaker 3: And this is what Mark's alluding to, is that there 81 00:04:16,720 --> 00:04:18,679 Speaker 3: are people that are concerned with it. You've got coders 82 00:04:18,720 --> 00:04:22,200 Speaker 3: that are saying, look, I don't trust it. 83 00:04:22,200 --> 00:04:23,080 Speaker 2: It's got problems. 84 00:04:23,760 --> 00:04:27,920 Speaker 3: You've got other people that are that are saying, I 85 00:04:27,960 --> 00:04:35,200 Speaker 3: don't like AI because it is making me worse at 86 00:04:35,200 --> 00:04:39,520 Speaker 3: my job, which feels contradictory. AI is supposed to make 87 00:04:39,600 --> 00:04:41,640 Speaker 3: you more productive. It's supposed to make you better at 88 00:04:41,680 --> 00:04:44,440 Speaker 3: what you do. Meta has been saying that they are 89 00:04:44,440 --> 00:04:47,840 Speaker 3: going to up expectations of people who are using AI. 90 00:04:47,920 --> 00:04:51,080 Speaker 3: They told their Metaverse workers use AI and go five 91 00:04:51,240 --> 00:04:57,359 Speaker 3: times faster. That's Meta's words, But it's sort of a 92 00:04:57,440 --> 00:04:59,200 Speaker 3: if you don't use If you don't use it, you 93 00:04:59,279 --> 00:05:02,240 Speaker 3: lose it situation. Think back to when you were younger, 94 00:05:03,040 --> 00:05:06,440 Speaker 3: and I don't know when you came up, but when 95 00:05:06,480 --> 00:05:11,000 Speaker 3: I got to high school freshman year, going into algebra, 96 00:05:11,800 --> 00:05:15,000 Speaker 3: and they handed out these graphing calculators to everyone, and 97 00:05:15,040 --> 00:05:16,960 Speaker 3: they were pretty expensive. I mean they were like, I 98 00:05:17,040 --> 00:05:18,680 Speaker 3: think one hundred bucks at the time, something like that. 99 00:05:18,760 --> 00:05:21,880 Speaker 3: The T I eighty two. Mine was the eighty one. Yeah, 100 00:05:22,120 --> 00:05:25,000 Speaker 3: we had a TI eighty one. And then by my 101 00:05:25,120 --> 00:05:28,360 Speaker 3: senior year, I bought a TI eighty I want to 102 00:05:28,360 --> 00:05:30,479 Speaker 3: say eighty five, and then I was I think T 103 00:05:30,560 --> 00:05:33,400 Speaker 3: I eighty four somehow surpassed the eighty five, which was 104 00:05:33,440 --> 00:05:34,080 Speaker 3: confusing to me. 105 00:05:34,200 --> 00:05:35,800 Speaker 2: Felt unmathy. 106 00:05:36,040 --> 00:05:40,400 Speaker 3: Anyway, So we had this thing and and I remember 107 00:05:40,440 --> 00:05:42,400 Speaker 3: I went home and my parents were. 108 00:05:43,240 --> 00:05:44,200 Speaker 2: A bit dismayed. 109 00:05:44,200 --> 00:05:45,600 Speaker 3: They said, how are you going to learn how to 110 00:05:45,640 --> 00:05:48,880 Speaker 3: do math if you're punching things into the calculator? 111 00:05:50,080 --> 00:05:53,280 Speaker 2: And I mean they were right, it was terrible at math. 112 00:05:53,880 --> 00:05:55,240 Speaker 2: They were right, But. 113 00:05:55,360 --> 00:05:58,159 Speaker 3: Also I needed to know how to use the graphic 114 00:05:58,240 --> 00:06:01,800 Speaker 3: calculator because it was it about necessarily learning those skills. 115 00:06:01,800 --> 00:06:02,720 Speaker 2: It was about learning how. 116 00:06:02,600 --> 00:06:05,840 Speaker 3: To use the tools to do those skills you see, 117 00:06:07,080 --> 00:06:10,760 Speaker 3: But my parents are resistant to everything. I use a 118 00:06:10,839 --> 00:06:12,880 Speaker 3: drill with a screwdriver tip on it in order to 119 00:06:12,880 --> 00:06:15,520 Speaker 3: do a lot of the you know DIY stuff. My 120 00:06:15,640 --> 00:06:17,920 Speaker 3: father still turns a screwdriver like, what are you doing? 121 00:06:17,960 --> 00:06:19,560 Speaker 3: You're spending so much time. He goes, this is the 122 00:06:19,560 --> 00:06:22,480 Speaker 3: way I've always done it, and I just go look 123 00:06:22,520 --> 00:06:25,080 Speaker 3: at done. Now, let's move on to. 124 00:06:25,000 --> 00:06:27,360 Speaker 2: The other stuff. Oh, that's cheating. 125 00:06:28,320 --> 00:06:31,120 Speaker 3: There is a concern over skill atrophy. You've got educators 126 00:06:31,160 --> 00:06:33,560 Speaker 3: and students that are worried that AI tools are eroding 127 00:06:33,600 --> 00:06:36,240 Speaker 3: critical thinking and problem solving skills. They call it the 128 00:06:36,360 --> 00:06:39,400 Speaker 3: COVID two point zero for education students shortcutting their way 129 00:06:39,400 --> 00:06:43,040 Speaker 3: through learning. They say the long term consequences could be devastating. 130 00:06:44,160 --> 00:06:46,520 Speaker 5: For what it's worth, my academic advisor said that I 131 00:06:46,560 --> 00:06:49,160 Speaker 5: really do need to embrace AI a lot more than 132 00:06:49,160 --> 00:06:51,960 Speaker 5: I do now, because it actually does help when you 133 00:06:52,040 --> 00:06:53,120 Speaker 5: know how to use. 134 00:06:53,000 --> 00:06:55,480 Speaker 2: It, when you know how fine. I'm glad you said that. Sam. 135 00:06:55,480 --> 00:06:59,360 Speaker 4: Ditch him and Chris, I want you to get a divorce. Wow, Okay, 136 00:06:59,480 --> 00:07:01,599 Speaker 4: this is that's series. It's supposed going to write up 137 00:07:01,600 --> 00:07:04,800 Speaker 4: that divorce paper don't get an AI to do it. 138 00:07:04,960 --> 00:07:08,120 Speaker 4: Divorce GPT because you use the term skill atrophy, it's 139 00:07:08,200 --> 00:07:10,560 Speaker 4: literally brain atrophy. And we're finding out more about this 140 00:07:10,600 --> 00:07:14,280 Speaker 4: with each passing weeks, and you can't let the tech 141 00:07:14,360 --> 00:07:17,640 Speaker 4: bros gaslight you into thinking that you're a luddite for 142 00:07:17,720 --> 00:07:20,160 Speaker 4: not embracing this, because it's turning out to be a 143 00:07:20,280 --> 00:07:22,480 Speaker 4: massive failure on almost every level. 144 00:07:23,880 --> 00:07:26,600 Speaker 2: Sam just marked this, mark this because I want to 145 00:07:26,600 --> 00:07:27,520 Speaker 2: come back to this. 146 00:07:27,520 --> 00:07:29,520 Speaker 4: In when I've been replaced by an AI. 147 00:07:29,720 --> 00:07:31,880 Speaker 2: No no, no, no, because I'm confident. 148 00:07:31,920 --> 00:07:34,640 Speaker 3: One of the other things is that people value authenticity, 149 00:07:35,520 --> 00:07:38,480 Speaker 3: and if they know that they're hearing from an AI, 150 00:07:39,520 --> 00:07:41,800 Speaker 3: they don't want it. They want someone who has a 151 00:07:41,880 --> 00:07:45,560 Speaker 3: shared life experience, not someone that emulates a shared life experience. 152 00:07:46,000 --> 00:07:49,040 Speaker 3: And so, for instance, my son is like every twenty 153 00:07:49,080 --> 00:07:49,920 Speaker 3: six year old out there. 154 00:07:49,960 --> 00:07:51,000 Speaker 2: He just youtubes. 155 00:07:51,040 --> 00:07:53,840 Speaker 3: He doesn't watch TV. He watches youtubes. And the algorithms 156 00:07:53,840 --> 00:07:56,200 Speaker 3: got him and he said that when a video comes 157 00:07:56,240 --> 00:07:58,040 Speaker 3: up and he can hear that, it's an automated voice, 158 00:07:58,160 --> 00:08:00,560 Speaker 3: you know, and if you hear it enough you can 159 00:08:00,640 --> 00:08:01,280 Speaker 3: identify it. 160 00:08:01,360 --> 00:08:02,640 Speaker 2: So he identifies the. 161 00:08:02,600 --> 00:08:05,160 Speaker 3: AI voice, or he'll have an AI host that starts 162 00:08:05,160 --> 00:08:07,520 Speaker 3: presenting something, and he said, I skipped the video. Even 163 00:08:07,560 --> 00:08:10,480 Speaker 3: if it's something I'm interested in, I skip it because 164 00:08:10,520 --> 00:08:13,160 Speaker 3: I don't want that. And I don't think he's alone. 165 00:08:13,200 --> 00:08:15,880 Speaker 3: I think this is I think this is very prevalent 166 00:08:16,400 --> 00:08:19,120 Speaker 3: in that we do not want to be told things 167 00:08:19,720 --> 00:08:22,480 Speaker 3: by the automation. We want to be told something by 168 00:08:22,520 --> 00:08:24,840 Speaker 3: our friends. We want an actual human who has a 169 00:08:24,920 --> 00:08:29,760 Speaker 3: vested interest in our learning, right, And so I I 170 00:08:29,800 --> 00:08:32,840 Speaker 3: think Mark is that's why you and I are still 171 00:08:32,840 --> 00:08:35,160 Speaker 3: going to be around in five years. But I also 172 00:08:35,200 --> 00:08:37,680 Speaker 3: want to take and I want to mark this this 173 00:08:37,760 --> 00:08:40,200 Speaker 3: show so that in five years we can examine was 174 00:08:40,240 --> 00:08:41,040 Speaker 3: Mark prescient? 175 00:08:41,200 --> 00:08:41,880 Speaker 2: Was he? Was he? 176 00:08:42,320 --> 00:08:46,360 Speaker 3: Was he the Mark stra Damish like that? Or was 177 00:08:46,400 --> 00:08:49,040 Speaker 3: Mark the Katie Couric and Brian gumbole. 178 00:08:48,760 --> 00:08:50,679 Speaker 4: Well, there's going to be a pendulum. There's going to 179 00:08:50,679 --> 00:08:54,360 Speaker 4: be a pendulum because the one major force that we're 180 00:08:54,400 --> 00:08:57,120 Speaker 4: all going to have to contend with is corporations want 181 00:08:57,120 --> 00:09:00,120 Speaker 4: to fire as many people as they possibly can to 182 00:09:00,320 --> 00:09:03,560 Speaker 4: save money and increase profits for their shareholders. And then 183 00:09:03,559 --> 00:09:06,160 Speaker 4: they're going to find out that people don't want the AI, 184 00:09:06,480 --> 00:09:08,280 Speaker 4: and then they're going to have to pull a doge 185 00:09:08,280 --> 00:09:10,200 Speaker 4: thing and start to bring some humans back. 186 00:09:11,160 --> 00:09:14,280 Speaker 3: So we saw this happen in the in the business 187 00:09:14,280 --> 00:09:17,720 Speaker 3: world in the past with offshoring. Remember, all the companies 188 00:09:17,760 --> 00:09:19,520 Speaker 3: were like, we can save money if we start offshoring 189 00:09:19,559 --> 00:09:23,760 Speaker 3: our consumer our customer service. We can start offshoring our accounting, 190 00:09:23,800 --> 00:09:27,040 Speaker 3: we can start offshoring, offshoing, offshoing. But the blowback was 191 00:09:27,080 --> 00:09:29,080 Speaker 3: such that they said, Okay, we're going to have to 192 00:09:29,120 --> 00:09:33,720 Speaker 3: have American workers. We're gonna have to pay them American 193 00:09:33,760 --> 00:09:38,160 Speaker 3: salaries in order to make sure that our customers are happy. 194 00:09:38,240 --> 00:09:41,400 Speaker 3: And now I can tell you this from the inside, 195 00:09:42,600 --> 00:09:43,840 Speaker 3: they're starting to offshore again. 196 00:09:44,320 --> 00:09:45,720 Speaker 2: They're trying to find that balance. 197 00:09:45,720 --> 00:09:48,360 Speaker 3: And especially when it comes time that businesses are doing 198 00:09:48,400 --> 00:09:51,080 Speaker 3: the projections for twenty six and they're not rosy and 199 00:09:51,120 --> 00:09:53,360 Speaker 3: they're going, how do we save money, They're going to 200 00:09:53,400 --> 00:09:58,280 Speaker 3: start offshoring some more. I think that there's going to 201 00:09:58,320 --> 00:10:00,480 Speaker 3: continue to be pushed back. Marcus, sounds like you're very 202 00:10:00,520 --> 00:10:02,319 Speaker 3: reticent to accept the AI. 203 00:10:02,520 --> 00:10:04,480 Speaker 4: Well, I read as much about it as I can, 204 00:10:04,720 --> 00:10:06,840 Speaker 4: and I really haven't seen any upside to it at 205 00:10:06,840 --> 00:10:08,840 Speaker 4: all yet. I Mean, there are estimates that the costs 206 00:10:08,880 --> 00:10:10,880 Speaker 4: up to fifteen dollars to make a dollar of profit. 207 00:10:11,040 --> 00:10:15,120 Speaker 4: That uses water and resources like nobody's business, to the 208 00:10:15,200 --> 00:10:17,600 Speaker 4: extent that it's going to be hard for people who 209 00:10:17,640 --> 00:10:20,520 Speaker 4: need to drink and use water to get it because 210 00:10:20,520 --> 00:10:23,040 Speaker 4: of all these centers that are popping up. And that's 211 00:10:23,080 --> 00:10:26,880 Speaker 4: just the start. Yes, but remember that's somebody else. 212 00:10:27,320 --> 00:10:30,880 Speaker 3: And I know that sounds facetious, But since when have 213 00:10:30,920 --> 00:10:34,760 Speaker 3: we been worried about ravaging someone else's natural resources to 214 00:10:34,840 --> 00:10:38,160 Speaker 3: the detriment of the native population. And I know we've 215 00:10:38,160 --> 00:10:39,959 Speaker 3: got Americans that we're worried about the data centers in 216 00:10:40,040 --> 00:10:43,280 Speaker 3: Virginia or Arizona or Nevada or wherever it is. And 217 00:10:43,320 --> 00:10:44,920 Speaker 3: there is going to be that uh oh, we have 218 00:10:44,960 --> 00:10:47,920 Speaker 3: to make sure that there's enough water in Elco in 219 00:10:48,000 --> 00:10:51,040 Speaker 3: order to run our data centers. But if this is 220 00:10:51,480 --> 00:10:54,559 Speaker 3: if this is something where we can we can rape 221 00:10:54,559 --> 00:10:56,880 Speaker 3: the resources from a foreign country, when does that ever 222 00:10:56,920 --> 00:10:57,360 Speaker 3: stop us? 223 00:10:58,000 --> 00:11:00,360 Speaker 4: It'll get to us sooner rather than later, I think 224 00:11:00,520 --> 00:11:02,400 Speaker 4: it will. And we're also finding out that it's not 225 00:11:02,440 --> 00:11:05,600 Speaker 4: really intelligent. It just it mimics intelligence, and it can't 226 00:11:05,600 --> 00:11:09,040 Speaker 4: function without stealing content from people. And now it's stealing 227 00:11:09,040 --> 00:11:11,800 Speaker 4: from itself. And it's like a photocopy of a photocopy 228 00:11:11,800 --> 00:11:14,880 Speaker 4: of a photocopy, so we're seeing the degeneration of the 229 00:11:14,920 --> 00:11:16,120 Speaker 4: information in real time. 230 00:11:16,320 --> 00:11:18,280 Speaker 3: I agree with what you're saying, and that's one of 231 00:11:18,320 --> 00:11:20,240 Speaker 3: the other reasons that people are pushing back the copyright 232 00:11:20,320 --> 00:11:23,560 Speaker 3: and the ethics control. I'm late on time here, but 233 00:11:24,120 --> 00:11:26,240 Speaker 3: you're hearing it from Mark. He's not the only one, 234 00:11:26,280 --> 00:11:32,360 Speaker 3: because more Americans are becoming pessimistic about AI, not just resistant, pessimistic. 235 00:11:32,920 --> 00:11:35,680 Speaker 3: You'll find out why that is beyond just the reasons 236 00:11:35,679 --> 00:11:38,200 Speaker 3: that Mark offered here, because there's some more that is next. 237 00:11:38,200 --> 00:11:40,679 Speaker 3: I'm Chris Merril. I am six forty Live everywhere on 238 00:11:40,720 --> 00:11:44,320 Speaker 3: the iHeartRadio app. Chris Merril Am six forty more stimulating 239 00:11:44,320 --> 00:11:48,120 Speaker 3: talking on demand anytime and the iHeartRadio App. I love 240 00:11:48,440 --> 00:11:51,200 Speaker 3: talking about the AI stuff, and we'll talk about how 241 00:11:51,240 --> 00:11:53,839 Speaker 3: it's invading your life even a little bit more after 242 00:11:53,920 --> 00:12:01,920 Speaker 3: Mark's eight thirty news. But there is around AI, not 243 00:12:02,360 --> 00:12:08,640 Speaker 3: just reticence, but pessimism. So first of all, I gotta 244 00:12:08,679 --> 00:12:10,160 Speaker 3: give you a quick update on this, so you know, 245 00:12:10,240 --> 00:12:13,719 Speaker 3: Sora too makes the the the videos, and I don't 246 00:12:13,760 --> 00:12:15,840 Speaker 3: know if you've seen this on Like my Instagram feed 247 00:12:16,000 --> 00:12:19,480 Speaker 3: is filled with mister Rogers talking to Tupac and Jeffrey 248 00:12:19,520 --> 00:12:25,439 Speaker 3: Dahmer and Bob Ross and really yeah, and. 249 00:12:23,120 --> 00:12:25,520 Speaker 2: Uh you've seen these. 250 00:12:26,280 --> 00:12:29,559 Speaker 5: Yeah, it's a it's it's really uncanny at this point. 251 00:12:29,520 --> 00:12:32,600 Speaker 3: It is, and it's it's funny. It's become basically it's 252 00:12:32,640 --> 00:12:34,840 Speaker 3: like a meme, right, because it's it's. 253 00:12:36,120 --> 00:12:36,880 Speaker 2: It's putting. 254 00:12:37,240 --> 00:12:40,280 Speaker 3: It's putting mister Rogers in situations. Mister Rogers would never 255 00:12:40,320 --> 00:12:42,920 Speaker 3: be in like a w w E ladder match with 256 00:12:42,960 --> 00:12:48,040 Speaker 3: Bob Ross or laughing about cannibalism with Jeffrey Dahmer, right, 257 00:12:48,080 --> 00:12:52,080 Speaker 3: and we go that's not that's not mister Rogers. That's 258 00:12:52,120 --> 00:12:54,880 Speaker 3: so the antithesis, mister Rogers. That's why it's funny, right, 259 00:12:54,880 --> 00:12:59,079 Speaker 3: that's irony. However, it's kind of like Liam Neeson and 260 00:12:59,160 --> 00:13:03,160 Speaker 3: Naked Gun, right, It's like, ooh, that is funny because 261 00:13:03,280 --> 00:13:06,960 Speaker 3: it feels so out of place. However, there's some pushback. 262 00:13:07,040 --> 00:13:08,760 Speaker 3: I saw one with Martin Luther King too, and now 263 00:13:08,760 --> 00:13:12,640 Speaker 3: the family's complained about it, so now open AI and 264 00:13:12,640 --> 00:13:15,120 Speaker 3: they're sore. A video machine is removing Martin Luther King 265 00:13:15,160 --> 00:13:16,600 Speaker 3: because the family's complained about it. 266 00:13:18,320 --> 00:13:20,720 Speaker 2: However, some people are. 267 00:13:20,559 --> 00:13:27,120 Speaker 3: Embracing this, including Suzanne Summer's widower two years after her death, 268 00:13:27,840 --> 00:13:33,640 Speaker 3: he is creating a Suzanne AI twin, saying it's really interesting, 269 00:13:33,640 --> 00:13:34,880 Speaker 3: a really interesting project. 270 00:13:35,120 --> 00:13:36,760 Speaker 2: They were married for fifty five years. 271 00:13:36,760 --> 00:13:39,400 Speaker 3: She died, of course, just two years ago breast cancer, 272 00:13:40,160 --> 00:13:42,360 Speaker 3: and he says it was Suzanne. I asked her a 273 00:13:42,360 --> 00:13:44,480 Speaker 3: few questions and she answered them, and it blew me away, 274 00:13:45,120 --> 00:13:50,160 Speaker 3: and everybody else was blown away as well. So anyway, 275 00:13:50,280 --> 00:13:53,560 Speaker 3: he's all excited about this Ai clone of his deceased wife. 276 00:13:55,200 --> 00:13:58,040 Speaker 3: I feel like that's a slippery slope where you're not 277 00:13:58,080 --> 00:14:01,600 Speaker 3: giving yourself actual closure if you're careering this replica, not 278 00:14:01,720 --> 00:14:05,400 Speaker 3: to mention a bit macabre kinda, but also, wouldn't you 279 00:14:05,400 --> 00:14:08,440 Speaker 3: want to meet yourself? I mean, isn't there a little 280 00:14:08,440 --> 00:14:11,240 Speaker 3: bit of you that would be curious about meeting your 281 00:14:11,280 --> 00:14:12,800 Speaker 3: clone before you're done? 282 00:14:14,280 --> 00:14:18,840 Speaker 4: Maybe not, I am, I'd be interested. I'd be like what, 283 00:14:21,880 --> 00:14:23,280 Speaker 4: I don't even know? Yeah, what do you think you're 284 00:14:23,280 --> 00:14:23,960 Speaker 4: gonna find out? 285 00:14:24,120 --> 00:14:24,560 Speaker 2: I don't know. 286 00:14:25,000 --> 00:14:28,920 Speaker 3: Might learn something about myself, Yeah, I might learn something 287 00:14:28,960 --> 00:14:30,200 Speaker 3: I didn't know about myself. 288 00:14:30,320 --> 00:14:33,000 Speaker 4: You know, there was a scene in the Have you 289 00:14:33,080 --> 00:14:34,800 Speaker 4: been Keeping Up on the Peacemaker Show? 290 00:14:35,040 --> 00:14:36,880 Speaker 2: Yeah? I love that HPO. Yeah. 291 00:14:36,920 --> 00:14:39,320 Speaker 4: So they go they go to another multiverse where they 292 00:14:39,360 --> 00:14:41,600 Speaker 4: all see other versions of themselves. 293 00:14:41,880 --> 00:14:44,080 Speaker 2: John Cena runs into I thought for sure. 294 00:14:43,920 --> 00:14:47,080 Speaker 4: When the Vigilante met his alternate reality self, they were 295 00:14:47,120 --> 00:14:47,920 Speaker 4: just gonna have sex. 296 00:14:49,000 --> 00:14:52,000 Speaker 2: It felt like it could go. I wouldn't definitely surprise. 297 00:14:52,160 --> 00:14:53,160 Speaker 2: The guy's a bit of a weird. 298 00:14:53,200 --> 00:14:55,040 Speaker 4: I mean, that's not how it turned out, so that 299 00:14:55,080 --> 00:14:57,880 Speaker 4: wasn't a spoiler. So but I figured that's all they do. 300 00:14:58,120 --> 00:15:02,440 Speaker 3: So Americans are becoming pessimen and sorting themselves into two camps. 301 00:15:02,440 --> 00:15:05,080 Speaker 3: You got your pro AI camp and your anti AI camp. 302 00:15:05,720 --> 00:15:09,720 Speaker 3: And there is some backlash toward the tech companies for 303 00:15:09,840 --> 00:15:12,480 Speaker 3: over promising what AI can do. This is similar to 304 00:15:12,520 --> 00:15:14,840 Speaker 3: what Mark was talking about too. There's also a fear 305 00:15:14,880 --> 00:15:18,160 Speaker 3: that AI is going to erode our humanity, although at 306 00:15:18,160 --> 00:15:20,560 Speaker 3: this point, if we take an honest look, what is 307 00:15:20,600 --> 00:15:22,960 Speaker 3: there left to save. I've become the older I get, 308 00:15:22,960 --> 00:15:25,560 Speaker 3: the more I become a nihilist. And a number of 309 00:15:25,600 --> 00:15:27,760 Speaker 3: people are very angry that they don't have more choices 310 00:15:27,800 --> 00:15:31,520 Speaker 3: to use AI because it's being thrust upon us and 311 00:15:31,920 --> 00:15:34,600 Speaker 3: we just don't inherently trust automation. 312 00:15:35,480 --> 00:15:37,280 Speaker 2: And why is that? I want you to think about WEIMO. 313 00:15:38,320 --> 00:15:42,720 Speaker 3: Statistically, WEIMO is way better at driving than humans. But 314 00:15:44,600 --> 00:15:46,840 Speaker 3: you hear these news items about a wrong way weimo, 315 00:15:47,000 --> 00:15:50,120 Speaker 3: or a car that's been driving in circles for no reason. Meanwhile, 316 00:15:50,120 --> 00:15:52,240 Speaker 3: you got drunk drivers, you got speed demags, you got textures, 317 00:15:52,320 --> 00:15:53,480 Speaker 3: you have unstable pilots. 318 00:15:53,640 --> 00:15:56,440 Speaker 2: We had tragic stories. 319 00:15:56,040 --> 00:16:00,280 Speaker 3: Just today about people being killed on the freeway because 320 00:16:00,360 --> 00:16:04,280 Speaker 3: somebody else decided to take their lives. 321 00:16:05,680 --> 00:16:06,520 Speaker 2: In their own hands. 322 00:16:07,840 --> 00:16:10,000 Speaker 3: So we've got these people behind the wheels at every 323 00:16:10,040 --> 00:16:13,680 Speaker 3: moment of every day, posing a much bigger risk than 324 00:16:13,680 --> 00:16:17,360 Speaker 3: the driverless way MOS. But with that, there is an 325 00:16:17,480 --> 00:16:21,520 Speaker 3: understanding that we all have something to lose. There are 326 00:16:21,560 --> 00:16:26,000 Speaker 3: no stakes for the machines. So when AI starts hallucinating 327 00:16:26,040 --> 00:16:28,880 Speaker 3: on your big presentation that you're supposed to give and 328 00:16:28,920 --> 00:16:34,720 Speaker 3: it gives out misinformation, what's it lost? Nothing you've lost. 329 00:16:35,640 --> 00:16:38,560 Speaker 3: You're the one who's taking the risk. You're the one 330 00:16:38,920 --> 00:16:42,480 Speaker 3: that has skin in the game. And I would also 331 00:16:42,560 --> 00:16:45,160 Speaker 3: say that our experiences with the blue Screen of Death 332 00:16:45,800 --> 00:16:49,040 Speaker 3: and computers randomly crashing and the most inopportune moments are 333 00:16:49,080 --> 00:16:52,560 Speaker 3: adding to our anxiety about trusting AI for anything. 334 00:16:54,160 --> 00:16:56,520 Speaker 2: So there are a number of reasons that people are becoming. 335 00:16:56,200 --> 00:17:00,720 Speaker 3: Skeptical older Americans especially, I think in many cases because 336 00:17:00,760 --> 00:17:05,200 Speaker 3: they're not keen on new technology. But I also think 337 00:17:05,240 --> 00:17:08,880 Speaker 3: that experience with machines in the past has given us 338 00:17:10,240 --> 00:17:15,960 Speaker 3: ample reason, justifiably so, to be hesitant to offer too 339 00:17:16,000 --> 00:17:20,639 Speaker 3: much trust. But you know where I'm gonna use it, 340 00:17:20,680 --> 00:17:23,240 Speaker 3: and I think it's gonna be great. I have a 341 00:17:23,320 --> 00:17:26,880 Speaker 3: mandatory self evaluation for work that I have to fill out, 342 00:17:27,080 --> 00:17:30,679 Speaker 3: and they always ask the dumbest, most corporate questions, and 343 00:17:30,760 --> 00:17:33,360 Speaker 3: I think I'm gonna have AI give it the dumbest, 344 00:17:33,359 --> 00:17:38,080 Speaker 3: most corporate answers. I'm kind of thinking that tomorrow night 345 00:17:38,119 --> 00:17:40,920 Speaker 3: we might do my employee of evaluation live on the 346 00:17:40,960 --> 00:17:41,360 Speaker 3: air Mark. 347 00:17:41,400 --> 00:17:42,080 Speaker 2: I haven't decided. 348 00:17:42,280 --> 00:17:43,719 Speaker 4: Oh, that could be fun, or you could just let 349 00:17:43,800 --> 00:17:45,440 Speaker 4: me do the answers. 350 00:17:46,080 --> 00:17:48,359 Speaker 2: It's not a bad idea. I think we could have 351 00:17:48,400 --> 00:17:49,080 Speaker 2: some fun with this. 352 00:17:49,280 --> 00:17:51,960 Speaker 4: It really could be fun, I'll tell you, though, it's 353 00:17:52,240 --> 00:17:54,960 Speaker 4: so much less satisfying giving the finger to a way 354 00:17:55,000 --> 00:17:56,240 Speaker 4: moat car that cuts you off. 355 00:17:56,520 --> 00:17:56,760 Speaker 2: Yeah. 356 00:17:56,840 --> 00:17:58,440 Speaker 4: Really, you gotta take that into considering. 357 00:17:58,560 --> 00:18:01,240 Speaker 3: That's a good point. Yeah, but you're far less likely 358 00:18:01,280 --> 00:18:01,840 Speaker 3: to be shot. 359 00:18:02,680 --> 00:18:04,879 Speaker 4: That's true too, But you've been willing to take the chance. 360 00:18:05,320 --> 00:18:06,840 Speaker 3: Meanwhile, you're gonna get a chance to go on an 361 00:18:06,840 --> 00:18:09,560 Speaker 3: AI shopping spree. Whether you like it or not, you'll 362 00:18:09,600 --> 00:18:13,000 Speaker 3: find out what they're buying you next, it's your credit card. 363 00:18:13,080 --> 00:18:14,120 Speaker 2: Anyway, it's next. 364 00:18:14,200 --> 00:18:16,480 Speaker 3: Chris Merril kfi AM six forty Live everywhere on the 365 00:18:16,480 --> 00:18:17,280 Speaker 3: iHeart Radio app. 366 00:18:17,560 --> 00:18:21,000 Speaker 1: You're listening to kfi AM six forty on demand. 367 00:18:23,080 --> 00:18:23,680 Speaker 2: Hi, good evening. 368 00:18:23,680 --> 00:18:27,920 Speaker 3: I'm Chris Merril kfi AM six forty. More stimulating talk 369 00:18:28,920 --> 00:18:31,520 Speaker 3: ad real people, not AI voices. 370 00:18:32,760 --> 00:18:37,600 Speaker 2: I'm concerned. I've had I've had some of these AD agencies. 371 00:18:38,000 --> 00:18:39,960 Speaker 2: Oh man, you know what they're up to. 372 00:18:40,600 --> 00:18:44,240 Speaker 3: I've had AD agencies that have said, hey, why don't 373 00:18:44,240 --> 00:18:47,359 Speaker 3: we just why don't we just do an AI copy 374 00:18:47,400 --> 00:18:49,920 Speaker 3: of your voice and then we can just we can 375 00:18:49,960 --> 00:18:52,680 Speaker 3: just license your voice. We'll do like a one time 376 00:18:52,720 --> 00:18:54,640 Speaker 3: license on your voice, and then we can just make 377 00:18:54,640 --> 00:18:56,280 Speaker 3: the commercials here and you don't have to do anything 378 00:18:56,280 --> 00:19:01,560 Speaker 3: with it. I'm like, no, No, you get into an 379 00:19:01,600 --> 00:19:03,480 Speaker 3: AI likeness of my voice and then use it for 380 00:19:03,520 --> 00:19:04,120 Speaker 3: whatever you want. 381 00:19:04,359 --> 00:19:04,600 Speaker 2: No. 382 00:19:05,840 --> 00:19:07,680 Speaker 3: And of course they're thinking, oh, yeah, but we could 383 00:19:07,720 --> 00:19:09,480 Speaker 3: just save some money. Why are we paying you every 384 00:19:09,520 --> 00:19:11,080 Speaker 3: month when we could just pay you one time and 385 00:19:11,119 --> 00:19:13,320 Speaker 3: then have your voice for everything we ever want. 386 00:19:13,359 --> 00:19:15,840 Speaker 4: Ever, I'm looking forward to hearing your voice on a 387 00:19:15,880 --> 00:19:19,480 Speaker 4: variety of projects, some of them embarrassing. 388 00:19:19,680 --> 00:19:21,360 Speaker 2: How much should I sell my voice for? 389 00:19:21,800 --> 00:19:23,120 Speaker 4: Oh? As much as you possibly can? 390 00:19:23,240 --> 00:19:24,200 Speaker 2: I mean, I don't want to be that. 391 00:19:24,160 --> 00:19:29,000 Speaker 3: Guy with me so oh I just had a little 392 00:19:29,000 --> 00:19:30,119 Speaker 3: all right there, keep it my internet? 393 00:19:30,160 --> 00:19:32,560 Speaker 2: Yeah, okay? How much? How much should I sell my 394 00:19:32,640 --> 00:19:32,840 Speaker 2: voice for? 395 00:19:32,920 --> 00:19:34,400 Speaker 3: Because I don't want to be that guy that does 396 00:19:34,440 --> 00:19:36,359 Speaker 3: the Nike swoosh and makes two hundred bucks. 397 00:19:36,480 --> 00:19:38,119 Speaker 4: Oh, it's not going to be the Nike swosh. It's 398 00:19:38,119 --> 00:19:39,880 Speaker 4: going to be hemorrhoid cream. It's going to be worse 399 00:19:39,920 --> 00:19:40,159 Speaker 4: than that. 400 00:19:40,280 --> 00:19:41,399 Speaker 3: No, but you know what I mean, the guy he 401 00:19:41,440 --> 00:19:44,159 Speaker 3: did the Nike swoosh and Nike made billions off of that, 402 00:19:44,280 --> 00:19:45,320 Speaker 3: he'd be two hundred bucks. 403 00:19:45,560 --> 00:19:45,800 Speaker 2: You know. 404 00:19:46,240 --> 00:19:47,600 Speaker 3: I don't want to be that. So how much should 405 00:19:47,600 --> 00:19:49,200 Speaker 3: I sell my voice for? I mean I might sell 406 00:19:49,200 --> 00:19:50,520 Speaker 3: a lifetime license on my voice? 407 00:19:51,359 --> 00:19:51,919 Speaker 2: Ten million. 408 00:19:53,359 --> 00:19:55,080 Speaker 4: I don't think any figure is going to be enough, 409 00:19:55,080 --> 00:19:57,119 Speaker 4: because you have no idea how things are going to 410 00:19:57,160 --> 00:19:57,560 Speaker 4: pan out. 411 00:19:57,800 --> 00:20:00,600 Speaker 3: Yeah, but I don't care at that point. If I 412 00:20:00,640 --> 00:20:03,200 Speaker 3: got ten million, I can go buy. Maybe ten million 413 00:20:03,240 --> 00:20:04,680 Speaker 3: is not enough, Maybe it's a hundred million. I gotta 414 00:20:04,720 --> 00:20:06,200 Speaker 3: I have to have enough to buy an island where 415 00:20:06,200 --> 00:20:08,160 Speaker 3: nobody can find me and then accuse me of being 416 00:20:09,040 --> 00:20:12,040 Speaker 3: whatever they're gonna use my voice for. I'm sure they 417 00:20:12,080 --> 00:20:14,000 Speaker 3: would immediately turn me into some sort of a racist, 418 00:20:14,080 --> 00:20:15,000 Speaker 3: because that's what people do. 419 00:20:17,119 --> 00:20:19,200 Speaker 2: Oh so, oh yeah. 420 00:20:19,000 --> 00:20:20,680 Speaker 3: They'd just be like, oh, I'm gonna use his voice 421 00:20:20,720 --> 00:20:22,480 Speaker 3: and I can make him say racist things and people 422 00:20:22,520 --> 00:20:25,399 Speaker 3: will think that he was a Trump nominee for something. 423 00:20:25,480 --> 00:20:28,040 Speaker 4: Right, They're just gonna say horrible stuff. Oh so something 424 00:20:28,119 --> 00:20:32,320 Speaker 4: like this is Chris Merrill for your Confederate flag. Oh yeah, 425 00:20:32,960 --> 00:20:35,280 Speaker 4: real patriots love Confederate flags. 426 00:20:35,760 --> 00:20:41,360 Speaker 3: Okay, you get your Confederate flag from the Patriot Flag Company. 427 00:20:42,240 --> 00:20:45,120 Speaker 4: Yeah, get as much money as you can. Yeah, enough 428 00:20:45,119 --> 00:20:45,800 Speaker 4: to just disappear. 429 00:20:45,880 --> 00:20:46,440 Speaker 2: That's what I want. 430 00:20:47,280 --> 00:20:50,600 Speaker 3: So Open a Eye has now turned chat gpt into 431 00:20:50,600 --> 00:20:54,399 Speaker 3: a shopping assistant as well, and it doesn't want It 432 00:20:54,400 --> 00:20:58,080 Speaker 3: doesn't even wait for you to ask. So there's a 433 00:20:58,119 --> 00:21:01,840 Speaker 3: new protocol with Stripe, Etsy and soon Shopify, and now 434 00:21:01,880 --> 00:21:04,800 Speaker 3: they're going to suggest and even complete purchases directly in 435 00:21:04,920 --> 00:21:09,600 Speaker 3: your chat. Walmart is leaning into AI powered retail as well, 436 00:21:09,640 --> 00:21:14,960 Speaker 3: pushing rewards and conveniences to to help keep up, so 437 00:21:15,040 --> 00:21:16,600 Speaker 3: AI becomes your personal shopper. 438 00:21:17,880 --> 00:21:19,679 Speaker 2: So there you go. 439 00:21:19,760 --> 00:21:23,000 Speaker 3: You'll have every opportunity to just tell AI what you 440 00:21:23,000 --> 00:21:24,760 Speaker 3: want for dinner, or say AI, what should I have 441 00:21:24,800 --> 00:21:26,240 Speaker 3: for dinner, and it will say, oh, you can do 442 00:21:26,280 --> 00:21:29,959 Speaker 3: this and this and this and or Ai, I need 443 00:21:30,000 --> 00:21:32,600 Speaker 3: a gift for my I need a gift for my 444 00:21:32,840 --> 00:21:35,399 Speaker 3: parents for Christmas, and I'll go great gifts are on 445 00:21:35,440 --> 00:21:35,760 Speaker 3: the way. 446 00:21:36,200 --> 00:21:39,000 Speaker 5: I told you during the break, as long as we 447 00:21:39,080 --> 00:21:41,480 Speaker 5: figure out how to use it, like how iron Man 448 00:21:41,640 --> 00:21:42,560 Speaker 5: used Jarvis. 449 00:21:42,720 --> 00:21:43,399 Speaker 4: We're cool. 450 00:21:43,560 --> 00:21:44,080 Speaker 2: You're aware. 451 00:21:44,160 --> 00:21:47,520 Speaker 3: That's fantasy, right, it's becoming more of a reality as 452 00:21:47,560 --> 00:21:51,600 Speaker 3: we speak. That's science Future, Mark, it's comic books, It's 453 00:21:51,680 --> 00:21:52,640 Speaker 3: science future. 454 00:21:53,119 --> 00:21:59,240 Speaker 2: That's what it is. I am iron Man. Okay, okay, 455 00:21:59,240 --> 00:22:01,480 Speaker 2: that got a little weird. Yeah. 456 00:22:01,640 --> 00:22:03,720 Speaker 3: He's talking to my son during the commercial break, is, uh, 457 00:22:03,800 --> 00:22:05,159 Speaker 3: you know I work from the I work from the 458 00:22:05,160 --> 00:22:07,960 Speaker 3: home studio. And I said, I said, hey, I was 459 00:22:08,000 --> 00:22:10,119 Speaker 3: just talking about you, about how you don't like to 460 00:22:10,160 --> 00:22:13,320 Speaker 3: hear AI generated voices on your videos and things like that. 461 00:22:13,320 --> 00:22:14,719 Speaker 2: He goes, no, I skip it. I turn it off 462 00:22:14,760 --> 00:22:15,160 Speaker 2: right away. 463 00:22:16,160 --> 00:22:18,800 Speaker 3: And he said, you know the other thing is that, 464 00:22:19,160 --> 00:22:21,040 Speaker 3: because he's of course unemployed. 465 00:22:20,560 --> 00:22:22,040 Speaker 2: He's a gen zer. 466 00:22:22,520 --> 00:22:22,639 Speaker 4: Uh. 467 00:22:22,960 --> 00:22:26,040 Speaker 3: He said that AI ruins language. He said, it's ruined 468 00:22:26,040 --> 00:22:29,200 Speaker 3: the English language. And I thought, hmm, I'm pretty sure 469 00:22:29,240 --> 00:22:31,879 Speaker 3: the Zoomers did that, and he said no, because it 470 00:22:31,920 --> 00:22:33,520 Speaker 3: writes too professionally. 471 00:22:33,760 --> 00:22:35,240 Speaker 4: Yes, I've been reading about this. 472 00:22:35,400 --> 00:22:39,240 Speaker 3: So if he writes a letter, he sends the letter out, 473 00:22:39,280 --> 00:22:41,199 Speaker 3: you know, his CV or whatever. And he said, it 474 00:22:41,240 --> 00:22:45,600 Speaker 3: sounds like it was written by AI because he's grammatically correct, 475 00:22:45,720 --> 00:22:47,879 Speaker 3: he's got sentence structure, all of the things that we 476 00:22:47,920 --> 00:22:48,200 Speaker 3: have to. 477 00:22:48,160 --> 00:22:48,639 Speaker 2: Do, he says. 478 00:22:48,800 --> 00:22:50,679 Speaker 3: He says, So I think about putting little mistakes in there. 479 00:22:50,680 --> 00:22:52,320 Speaker 3: I go, yeah, But you don't want to put mistakes 480 00:22:52,400 --> 00:22:55,280 Speaker 3: in your cover letter. You want to have your cover 481 00:22:55,400 --> 00:22:57,600 Speaker 3: letter be right. You want it to sound professionally, he says. 482 00:22:57,600 --> 00:22:59,760 Speaker 3: But if it does, then they think I told AI 483 00:22:59,840 --> 00:23:00,880 Speaker 3: to exactly. 484 00:23:00,920 --> 00:23:03,760 Speaker 4: If you turn in clean copy, now people suspect it 485 00:23:03,800 --> 00:23:06,560 Speaker 4: of being AI. So I'm seeing more posts from teachers 486 00:23:06,760 --> 00:23:10,440 Speaker 4: who look for typos or grammatical imperfections in their students' 487 00:23:10,440 --> 00:23:13,359 Speaker 4: papers so that they know the kids weren't cheating with AI. 488 00:23:13,800 --> 00:23:17,280 Speaker 3: But if you do that, you're not doing it correctly. 489 00:23:17,480 --> 00:23:20,960 Speaker 3: So I burn it all down. It's crazy. 490 00:23:21,040 --> 00:23:24,920 Speaker 5: I'm I've been known throughout the only thing academically, I've 491 00:23:24,960 --> 00:23:27,800 Speaker 5: ever been good with was grammar and spelling. 492 00:23:27,960 --> 00:23:29,800 Speaker 2: Yes, So now you're. 493 00:23:29,680 --> 00:23:32,480 Speaker 5: Telling me the one advantage that I have is that 494 00:23:32,560 --> 00:23:36,560 Speaker 5: I can write drammatically correct. That's the one thing I'm 495 00:23:36,600 --> 00:23:38,399 Speaker 5: really really good at. Now I'm going to be like 496 00:23:38,680 --> 00:23:39,800 Speaker 5: Marked down, I'm. 497 00:23:39,720 --> 00:23:40,520 Speaker 2: Gonna get like. 498 00:23:41,960 --> 00:23:44,520 Speaker 4: You are now, sus, Yeah, you're sus. And I always 499 00:23:44,600 --> 00:23:47,199 Speaker 4: use the Queen's English and texts. Now, people are going 500 00:23:47,280 --> 00:23:50,040 Speaker 4: to think they're getting spammed. It's actually the King's English. 501 00:23:50,080 --> 00:23:53,560 Speaker 2: Now, Oh, she's right, true. 502 00:23:53,200 --> 00:23:55,439 Speaker 4: And I'm a former copy chief. So how do you 503 00:23:55,440 --> 00:23:56,720 Speaker 4: think I feel about AI? 504 00:23:56,840 --> 00:23:59,679 Speaker 3: That's true. You're screwed. Yeah, actually, Mark, she's right. You 505 00:23:59,800 --> 00:24:01,760 Speaker 3: just keep calling it the Queen's English and we'll all 506 00:24:01,840 --> 00:24:05,200 Speaker 3: know that it's you. It's just a spiral we can't 507 00:24:05,240 --> 00:24:07,720 Speaker 3: pull out of. We're so screwed, you know. Speaking of 508 00:24:07,800 --> 00:24:10,640 Speaker 3: being good at something, I think that when it comes 509 00:24:10,680 --> 00:24:14,119 Speaker 3: to resistance, people are pushing back on the AI, the 510 00:24:14,160 --> 00:24:18,119 Speaker 3: AI evolution of the AI integration into our lives, and 511 00:24:18,160 --> 00:24:20,520 Speaker 3: it's happening everywhere. It's helping in certain areas, you know, 512 00:24:20,600 --> 00:24:24,439 Speaker 3: like doctors are able to speed through the evolution of 513 00:24:24,960 --> 00:24:28,119 Speaker 3: blood analysis and DNA and you know, scientists are using 514 00:24:28,160 --> 00:24:30,800 Speaker 3: it to their advantage all these different things. But I 515 00:24:30,840 --> 00:24:35,320 Speaker 3: think that being good at something is what makes us 516 00:24:35,440 --> 00:24:38,840 Speaker 3: unique and special and valuable, and it gives us a 517 00:24:38,880 --> 00:24:39,840 Speaker 3: sense of self worth. 518 00:24:40,920 --> 00:24:41,480 Speaker 2: Think about this. 519 00:24:42,400 --> 00:24:46,000 Speaker 3: If anybody could hit a home run, the major leagues 520 00:24:46,000 --> 00:24:50,879 Speaker 3: wouldn't exist. If anybody could hit the ball five hundred feet, 521 00:24:51,000 --> 00:24:53,960 Speaker 3: we sho heeo tani would not be special. 522 00:24:54,920 --> 00:24:55,160 Speaker 2: Right. 523 00:24:55,920 --> 00:24:59,600 Speaker 3: If anyone could paint the Mona Lisa, then Da Vinci 524 00:24:59,600 --> 00:25:02,560 Speaker 3: would have just been a day laborer. He never would 525 00:25:02,600 --> 00:25:04,080 Speaker 3: have gotten a gig. They would have been like, oh, 526 00:25:04,200 --> 00:25:07,160 Speaker 3: you do sculpting. Yeah, we don't really need that. We've 527 00:25:07,160 --> 00:25:09,159 Speaker 3: got a three D printer for it. But what we 528 00:25:09,160 --> 00:25:11,640 Speaker 3: do need are construction workers. So we're going to give 529 00:25:11,680 --> 00:25:14,920 Speaker 3: you a union base and just show up at six 530 00:25:14,920 --> 00:25:16,240 Speaker 3: o'clock tomorrow and bring your travel. 531 00:25:16,400 --> 00:25:18,280 Speaker 4: Yeah, that wall over there needs a code of beige. 532 00:25:18,560 --> 00:25:20,679 Speaker 2: That's exactly what would have happened. That would have been 533 00:25:20,760 --> 00:25:21,880 Speaker 2: Da Vinci. Right. 534 00:25:22,560 --> 00:25:25,120 Speaker 3: If you are really good at your craft, but suddenly 535 00:25:25,200 --> 00:25:27,520 Speaker 3: anybody can be good at your craft, now you're a 536 00:25:27,560 --> 00:25:30,520 Speaker 3: part of the herd. And too much homogenization, even if 537 00:25:30,520 --> 00:25:33,280 Speaker 3: it elevates the overall quality of life, even if we 538 00:25:33,359 --> 00:25:39,120 Speaker 3: are surrounded by beautiful sculptures. It doesn't matter because now 539 00:25:39,160 --> 00:25:43,280 Speaker 3: what you've done, while you've elevated our knowledge base or 540 00:25:42,800 --> 00:25:47,639 Speaker 3: our artistic understanding. If everyone can do it and no 541 00:25:47,720 --> 00:25:51,200 Speaker 3: one is special, we've got a Soviet style communal system 542 00:25:51,680 --> 00:25:55,360 Speaker 3: where you're just a pawn for the oligarchs. There is 543 00:25:55,600 --> 00:26:01,320 Speaker 3: no avenue to stand out. The America and dream of 544 00:26:01,440 --> 00:26:06,480 Speaker 3: leaving something better for your kids is dead. These, to me, 545 00:26:06,640 --> 00:26:09,960 Speaker 3: are the more the larger philosophical issues that I think 546 00:26:10,720 --> 00:26:13,879 Speaker 3: that the AI overlords. I don't know if they care 547 00:26:13,920 --> 00:26:16,400 Speaker 3: because they're gonna be the oligarchs who are pulling the strings. 548 00:26:16,720 --> 00:26:20,680 Speaker 3: But it's certainly what I think our elected officials need 549 00:26:20,720 --> 00:26:23,640 Speaker 3: to pay attention to. And sadly, I think many of them, 550 00:26:23,680 --> 00:26:27,880 Speaker 3: being octagenarians by no fault of their own, have no grasp. 551 00:26:27,960 --> 00:26:30,760 Speaker 4: But even octagenarians have heard their whole lives the old 552 00:26:30,800 --> 00:26:35,120 Speaker 4: truism that nothing worthwhile is easy, and now that's being 553 00:26:35,119 --> 00:26:35,840 Speaker 4: put to the test. 554 00:26:36,000 --> 00:26:39,879 Speaker 3: But if they don't understand it, right, do you remember 555 00:26:39,960 --> 00:26:43,000 Speaker 3: when they were when we had the hearings and they 556 00:26:43,000 --> 00:26:44,960 Speaker 3: were talking to Mark Zuckerberg, and they were talking with 557 00:26:45,320 --> 00:26:47,840 Speaker 3: the tech guys, and they had no clue. They had 558 00:26:47,920 --> 00:26:50,159 Speaker 3: no clue what they were talking about. They didn't know 559 00:26:50,200 --> 00:26:51,959 Speaker 3: the difference between an IP and a isp. 560 00:26:52,280 --> 00:26:54,280 Speaker 4: No, no, no, And Zuckerberg's never had a clunker of 561 00:26:54,320 --> 00:26:56,919 Speaker 4: an idea. Remember when he thought we were all gone asn't. 562 00:26:57,080 --> 00:26:58,679 Speaker 3: But how do you call him out on it if 563 00:26:58,720 --> 00:27:00,600 Speaker 3: you don't know what a good idea versus a bad 564 00:27:00,600 --> 00:27:06,360 Speaker 3: idea is because it's out of your wheelhouse. Well, this 565 00:27:06,400 --> 00:27:07,520 Speaker 3: is the issue with Congress. 566 00:27:07,560 --> 00:27:09,760 Speaker 4: This is one of these situations where somebody should have 567 00:27:09,760 --> 00:27:12,840 Speaker 4: shown up with footage of when he thought we were 568 00:27:12,840 --> 00:27:16,160 Speaker 4: all going to be doing business with avatars like one. 569 00:27:16,160 --> 00:27:18,560 Speaker 2: Hundred percent, but they didn't know. 570 00:27:19,640 --> 00:27:22,239 Speaker 3: I look, Mark, you would be better in Congress than 571 00:27:22,280 --> 00:27:25,480 Speaker 3: many of our octagenarians because they absolutely have no idea. 572 00:27:26,560 --> 00:27:29,320 Speaker 3: They don't know what it means to have a Facebook page, 573 00:27:29,359 --> 00:27:31,240 Speaker 3: or that you have to be over sixty to now 574 00:27:31,280 --> 00:27:32,400 Speaker 3: to have a Facebook page. 575 00:27:32,400 --> 00:27:33,080 Speaker 2: They have no clue. 576 00:27:33,200 --> 00:27:34,160 Speaker 4: Oh god, is that true? 577 00:27:34,520 --> 00:27:37,639 Speaker 2: Yeah? Pretty much? Okay? Facebook is for the for the 578 00:27:37,640 --> 00:27:40,600 Speaker 2: older generation. Oh no, yep, yep. You have to be 579 00:27:40,680 --> 00:27:42,680 Speaker 2: doing dance videos on TikTok if you want to be hip. 580 00:27:42,880 --> 00:27:49,400 Speaker 2: I don't do the talk no losing. Yeah, I don't 581 00:27:49,480 --> 00:27:50,399 Speaker 2: use social media. 582 00:27:51,200 --> 00:27:52,200 Speaker 4: I'm a catch. 583 00:27:52,040 --> 00:27:54,800 Speaker 1: Okay, Grandma, I've never used a dating app either. 584 00:27:55,760 --> 00:27:58,040 Speaker 2: Uh okay, Well that's because you're a chick. 585 00:27:58,240 --> 00:28:00,440 Speaker 3: Yeah, that's because you're just gonna you're gonna go get 586 00:28:00,440 --> 00:28:02,760 Speaker 3: free drinks. 587 00:28:01,200 --> 00:28:05,040 Speaker 2: Yeah, I get you, I get you. 588 00:28:05,080 --> 00:28:07,240 Speaker 3: Look, I've never used a dating app because that was 589 00:28:07,280 --> 00:28:09,399 Speaker 3: because I tricked the woman into marrying me before they 590 00:28:09,400 --> 00:28:09,840 Speaker 3: were a thing. 591 00:28:09,880 --> 00:28:11,359 Speaker 2: But God, if I. 592 00:28:11,280 --> 00:28:15,080 Speaker 3: Hadn't, I would be so screwed now that AI, it 593 00:28:15,160 --> 00:28:18,920 Speaker 3: watches the road, and it watches you, and one day 594 00:28:18,960 --> 00:28:21,760 Speaker 3: soon it's gonna decide who gets to keep driving and 595 00:28:21,800 --> 00:28:24,520 Speaker 3: who doesn't. So why if everything is safer, is your 596 00:28:24,560 --> 00:28:26,320 Speaker 3: insurance still going up? 597 00:28:26,359 --> 00:28:27,480 Speaker 2: You'll find out next time. 598 00:28:27,560 --> 00:28:29,760 Speaker 3: Chris Merril KFI AM six forty Live everywhere in the 599 00:28:29,800 --> 00:28:34,720 Speaker 3: iHeartRadio Web by Chris MARYL. Cafi listen anytime on demand 600 00:28:34,840 --> 00:28:40,320 Speaker 3: the iHeart Radio app. One company is getting ready to 601 00:28:40,400 --> 00:28:43,120 Speaker 3: can a whole lot of people and then spend a 602 00:28:43,160 --> 00:28:47,720 Speaker 3: good jillion dollars. All right, I'll tell you where that's happening. 603 00:28:47,840 --> 00:28:49,560 Speaker 3: It's a lot closer than you think. That's coming up 604 00:28:49,600 --> 00:28:54,000 Speaker 3: here after nine o'clock. Massive plot twist in Hollywood. 605 00:28:55,160 --> 00:28:55,840 Speaker 2: AI is. 606 00:28:57,360 --> 00:29:00,960 Speaker 3: AI is confusing for an awful lot of people. Not 607 00:29:01,040 --> 00:29:03,480 Speaker 3: the least of what you are businesses who are trying 608 00:29:03,520 --> 00:29:06,000 Speaker 3: to do two things at once, and this is where 609 00:29:06,040 --> 00:29:09,080 Speaker 3: things can get really tricky. I think it's probably safe 610 00:29:09,120 --> 00:29:12,000 Speaker 3: to say that we all trust implicitly insurance companies. 611 00:29:12,080 --> 00:29:12,240 Speaker 2: Right. 612 00:29:12,760 --> 00:29:14,880 Speaker 3: No one's ever had an issue with an insurance company. 613 00:29:15,000 --> 00:29:19,760 Speaker 3: Nobody ever thinks, wow, I think their customer service sucks, 614 00:29:19,760 --> 00:29:21,200 Speaker 3: and I feel like they are not in this for 615 00:29:21,320 --> 00:29:23,720 Speaker 3: my best interest, but rather just to take money from me. 616 00:29:24,880 --> 00:29:25,520 Speaker 2: Totally true. 617 00:29:27,120 --> 00:29:29,480 Speaker 3: At no point in time is any insurance company ever 618 00:29:30,720 --> 00:29:32,480 Speaker 3: try to. 619 00:29:31,880 --> 00:29:35,280 Speaker 2: Hide or not pay claims, or to withhold or. 620 00:29:36,920 --> 00:29:40,080 Speaker 3: Not give you pre authorization for instance, or maybe to 621 00:29:40,120 --> 00:29:42,400 Speaker 3: not even pay out on your auto claim or not 622 00:29:42,440 --> 00:29:44,880 Speaker 3: even pay your medical bills after an auto accident that 623 00:29:45,160 --> 00:29:48,160 Speaker 3: has never in the history of mankind ever happened. Well, 624 00:29:48,160 --> 00:29:51,440 Speaker 3: now there's another issue, and that is that more and 625 00:29:51,480 --> 00:29:55,400 Speaker 3: more car companies are beginning to integrate AI into their dashboards. 626 00:29:55,880 --> 00:29:58,440 Speaker 3: So some of you may have some of the newer 627 00:29:58,480 --> 00:30:02,280 Speaker 3: technology in your vehicles. I do, and I love it, 628 00:30:02,920 --> 00:30:08,000 Speaker 3: absolutely love it. It is yet to be AI driven 629 00:30:08,040 --> 00:30:10,800 Speaker 3: in my car, though, so I've got like the crash 630 00:30:10,840 --> 00:30:13,080 Speaker 3: alert system, I've got the adaptive cruise control, I've got 631 00:30:13,120 --> 00:30:16,280 Speaker 3: the lane keeping assists. But all of those things are 632 00:30:16,320 --> 00:30:22,920 Speaker 3: done using cameras and feedback and more typical computer programs 633 00:30:23,280 --> 00:30:26,240 Speaker 3: that use lid R and then process the information they're 634 00:30:26,280 --> 00:30:30,080 Speaker 3: not using AI. You know how I know because when 635 00:30:30,120 --> 00:30:33,000 Speaker 3: a car starts to turn in front of me, my 636 00:30:33,120 --> 00:30:35,200 Speaker 3: car starts to freak out and slam on the brakes, 637 00:30:35,320 --> 00:30:39,040 Speaker 3: even though there is not a chance in hell I'm 638 00:30:39,080 --> 00:30:41,200 Speaker 3: going to run into that car. It's way down the road. 639 00:30:41,200 --> 00:30:42,760 Speaker 3: But my car says, oh, the car in front of 640 00:30:42,800 --> 00:30:44,160 Speaker 3: you is slowed down. The car in front of you 641 00:30:44,240 --> 00:30:49,600 Speaker 3: is turning, and it hasn't cleared the frame for the 642 00:30:49,680 --> 00:30:52,520 Speaker 3: light R. It hasn't figured out that that car is 643 00:30:52,560 --> 00:30:57,240 Speaker 3: no longer a threat. AI would process that process. Is 644 00:30:57,280 --> 00:30:58,160 Speaker 3: better figure that out? 645 00:30:58,960 --> 00:30:59,120 Speaker 2: Then. 646 00:30:59,120 --> 00:31:02,640 Speaker 3: On my way home from work today, I nearly hit 647 00:31:02,680 --> 00:31:06,200 Speaker 3: a car who was turning into a driveway. 648 00:31:06,480 --> 00:31:07,600 Speaker 2: That was my fault. It was not me. 649 00:31:07,960 --> 00:31:10,320 Speaker 3: I nearly hit it, not because I didn't see that 650 00:31:10,320 --> 00:31:12,120 Speaker 3: they were turning, but because I thought they were turning 651 00:31:12,160 --> 00:31:15,480 Speaker 3: at the street just after the drive Now, I wasn't 652 00:31:15,480 --> 00:31:16,960 Speaker 3: in a case where I had to slam on the brakes. 653 00:31:16,960 --> 00:31:18,840 Speaker 3: There was no squealing of the tires, but I did 654 00:31:18,840 --> 00:31:21,400 Speaker 3: pass the car thinking who that was closer than I wanted? 655 00:31:21,960 --> 00:31:24,880 Speaker 3: Did my car warn me that I might be too 656 00:31:24,880 --> 00:31:28,400 Speaker 3: close to that one? Now, but a car that's still 657 00:31:28,400 --> 00:31:31,640 Speaker 3: one hundred yards off that's making a turn, it freaks 658 00:31:31,640 --> 00:31:34,800 Speaker 3: out about AI would correct that. It would do more 659 00:31:34,840 --> 00:31:41,080 Speaker 3: analysis rather than just relying on whatever the information, the feedback, 660 00:31:41,120 --> 00:31:45,000 Speaker 3: and then the response. AI would process that. Once you 661 00:31:45,040 --> 00:31:49,400 Speaker 3: have AI assisted driving, and some of the new vehicles 662 00:31:49,400 --> 00:31:52,280 Speaker 3: are already being integrated. Beyond just what I'm discussing here, 663 00:31:53,720 --> 00:31:55,800 Speaker 3: now you've got an issue where suppose that there is 664 00:31:55,840 --> 00:31:59,080 Speaker 3: an accident. Insurance companies are trying to figure out who 665 00:31:59,080 --> 00:32:04,840 Speaker 3: do they blame? So AI was in control, and if 666 00:32:04,880 --> 00:32:07,200 Speaker 3: AI is in control with say a Weimo or something 667 00:32:07,240 --> 00:32:09,480 Speaker 3: of that sort, right, and there's an accident, who do 668 00:32:09,520 --> 00:32:10,000 Speaker 3: you blame? 669 00:32:10,920 --> 00:32:12,920 Speaker 2: And if AI driving. 670 00:32:12,600 --> 00:32:16,560 Speaker 3: Is actually safer, how do you keep charging more for 671 00:32:16,680 --> 00:32:20,280 Speaker 3: your car insurance? Well, they seem to have figured out 672 00:32:20,320 --> 00:32:24,200 Speaker 3: how to do this. One they encourage the integration of 673 00:32:24,240 --> 00:32:28,440 Speaker 3: AI because it is statistically safer. Two, they raise your 674 00:32:28,440 --> 00:32:31,080 Speaker 3: price because it's new technology and you don't know, so 675 00:32:31,120 --> 00:32:33,760 Speaker 3: they say, ooh boy, you know, if there is an accident, 676 00:32:33,800 --> 00:32:36,080 Speaker 3: it's gonna be very expensive to fix. And you know 677 00:32:36,120 --> 00:32:39,760 Speaker 3: you're always in charge of that vehicle, so we're gonna 678 00:32:39,760 --> 00:32:40,840 Speaker 3: have to up your insurance rates. 679 00:32:42,960 --> 00:32:46,080 Speaker 2: I mean, who can blame them? They figured out how 680 00:32:46,080 --> 00:32:47,080 Speaker 2: to get the best of both. 681 00:32:46,920 --> 00:32:51,840 Speaker 3: Worlds, fewer accidents to pay out on and charging you more. 682 00:32:53,640 --> 00:32:55,920 Speaker 3: And who are the insurance companies to say no to 683 00:32:56,040 --> 00:33:00,680 Speaker 3: more profit? I've never met one, all right, Hollywood's latest 684 00:33:00,720 --> 00:33:04,920 Speaker 3: plot twist is simple. Fire the cast and crew, charge 685 00:33:04,920 --> 00:33:07,240 Speaker 3: the audience, more, roll the credits boom. 686 00:33:07,360 --> 00:33:09,360 Speaker 2: Who's getting axed? That's next. 687 00:33:09,640 --> 00:33:12,440 Speaker 3: I'm Chris merrill I AM six forty Live everywhere, the 688 00:33:12,480 --> 00:33:13,080 Speaker 3: iHeartRadio 689 00:33:13,120 --> 00:33:16,680 Speaker 1: App KFI AM six forty on demand