1 00:00:00,480 --> 00:00:04,240 Speaker 1: You're listening to KFI AM sixty on demand in. 2 00:00:04,200 --> 00:00:05,040 Speaker 2: Promot kelledy night. 3 00:00:05,080 --> 00:00:09,320 Speaker 3: I'm Chris Merril KFI AM six forty. Listen anytime on 4 00:00:09,440 --> 00:00:12,240 Speaker 3: demand on the iHeartRadio app. The app is also where 5 00:00:12,280 --> 00:00:17,159 Speaker 3: I'm asking, hopefully you'll respond, do you use AI to 6 00:00:17,320 --> 00:00:21,120 Speaker 3: cheat at work? Talk a little bit about AI this hour, 7 00:00:21,239 --> 00:00:24,560 Speaker 3: because there's been so much It seems like it's everywhere 8 00:00:25,200 --> 00:00:28,240 Speaker 3: and it can be incredibly helpful, But if you are 9 00:00:28,280 --> 00:00:31,360 Speaker 3: like the godfather of AI, you also believe that it 10 00:00:31,400 --> 00:00:34,280 Speaker 3: may completely wipe out all of humankind. 11 00:00:35,360 --> 00:00:37,440 Speaker 2: Yeah. Yeah. 12 00:00:37,880 --> 00:00:43,879 Speaker 3: Joshua Benjo, professor at the University of Montreal and it's 13 00:00:44,400 --> 00:00:49,279 Speaker 3: University de Montreal that whatever he is an AI pioneer. 14 00:00:49,320 --> 00:00:51,440 Speaker 3: He's one of the He's among the loudest voices calling 15 00:00:51,440 --> 00:00:54,640 Speaker 3: for a moratorium on AI model development to focus on 16 00:00:54,680 --> 00:00:57,600 Speaker 3: safety standards. He's considered one of the godfathers of AI, 17 00:00:58,720 --> 00:01:00,680 Speaker 3: and he says, if we build miss that are way 18 00:01:00,720 --> 00:01:04,120 Speaker 3: smarter than us and have their own preservation goals, that's dangerous. 19 00:01:04,640 --> 00:01:07,120 Speaker 2: So he's concerned that AI is going to wipe out humanity. 20 00:01:07,520 --> 00:01:10,080 Speaker 3: The head of Anthropic, which is one of the big 21 00:01:10,120 --> 00:01:13,120 Speaker 3: AI companies, has said the same thing. He believes there's 22 00:01:13,120 --> 00:01:16,520 Speaker 3: a twenty five percent chance that AI could wipe out 23 00:01:16,800 --> 00:01:20,839 Speaker 3: all of humanity. Elon Musk, who has his own AI Rock, 24 00:01:21,040 --> 00:01:22,600 Speaker 3: is a bit more optimistic. 25 00:01:24,280 --> 00:01:28,160 Speaker 2: He says, only a twenty percent chance. You know, as 26 00:01:28,200 --> 00:01:28,759 Speaker 2: we think. 27 00:01:28,640 --> 00:01:34,039 Speaker 3: About AI and will it kill us all, I think 28 00:01:34,120 --> 00:01:38,520 Speaker 3: back to President Trump's first term, and I don't know 29 00:01:38,520 --> 00:01:40,520 Speaker 3: if you remember, we were having we were talking about 30 00:01:40,600 --> 00:01:44,119 Speaker 3: Syrian refugees at the time, and there was a big 31 00:01:44,160 --> 00:01:49,480 Speaker 3: concern that refugees could be terrorists posing as people trying 32 00:01:49,520 --> 00:01:52,200 Speaker 3: to come to the United States seeking asylum, right, And 33 00:01:52,200 --> 00:01:55,240 Speaker 3: so there's this big debate over to allow Syrian refugees in. 34 00:01:55,720 --> 00:01:58,400 Speaker 3: And the liberals were saying, you know, they're in a 35 00:01:58,400 --> 00:02:01,720 Speaker 3: war torn country and they're looking for safety, and you're 36 00:02:01,720 --> 00:02:04,640 Speaker 3: gonna leave them under the thumb of this oppressive regime 37 00:02:05,040 --> 00:02:09,760 Speaker 3: and terrorized every day by you know, by the what's 38 00:02:09,800 --> 00:02:13,119 Speaker 3: going on in Syria. Then you had the conservatives that said, yet, 39 00:02:13,160 --> 00:02:16,040 Speaker 3: we get it, we're sympathetic, but it's too big of 40 00:02:16,080 --> 00:02:17,239 Speaker 3: a risk to our country. 41 00:02:17,320 --> 00:02:18,919 Speaker 2: We have to put our safety first. 42 00:02:18,960 --> 00:02:21,360 Speaker 3: And all it would take is one bad actor in Syria, 43 00:02:21,440 --> 00:02:24,560 Speaker 3: one terrorist who says, oh no, take me, I'm scared 44 00:02:24,600 --> 00:02:26,720 Speaker 3: too to come to the United States and then do 45 00:02:26,760 --> 00:02:30,520 Speaker 3: something horrible here. And the analogy that was used by 46 00:02:31,840 --> 00:02:34,200 Speaker 3: Donald Trump Junior was, you may remember this. 47 00:02:34,280 --> 00:02:35,239 Speaker 2: It became controversial. 48 00:02:36,480 --> 00:02:38,400 Speaker 3: He said, if you had a bowl of if you 49 00:02:38,440 --> 00:02:40,880 Speaker 3: had a bowl of skittles in front of you and 50 00:02:42,760 --> 00:02:46,120 Speaker 3: one of those skittles was poisoned and would kill you, 51 00:02:46,520 --> 00:02:48,040 Speaker 3: would you still take a big handful? 52 00:02:48,560 --> 00:02:50,080 Speaker 2: Right? That was the analogy that he used. 53 00:02:52,040 --> 00:02:53,560 Speaker 3: When it comes to AI, if we were to use 54 00:02:53,600 --> 00:02:57,200 Speaker 3: that same analogy, we would say, Okay, you've got a 55 00:02:57,200 --> 00:03:00,200 Speaker 3: bowl of skittles in front of you, and one out 56 00:03:00,200 --> 00:03:03,880 Speaker 3: of every four skittles will kill you and everyone you've 57 00:03:03,919 --> 00:03:10,440 Speaker 3: ever loved and wipe out your entire bloodline, would you 58 00:03:10,520 --> 00:03:14,040 Speaker 3: still take a handful? And the answer is, well, how 59 00:03:14,120 --> 00:03:18,320 Speaker 3: much money could I make? Yeah, that's the answer. The 60 00:03:18,360 --> 00:03:21,160 Speaker 3: answer is if I don't take a handful and China 61 00:03:21,200 --> 00:03:25,360 Speaker 3: takes a handful and they don't die, we fall off 62 00:03:25,840 --> 00:03:28,959 Speaker 3: as the economic powerhouse globally. 63 00:03:30,400 --> 00:03:31,640 Speaker 2: That's the big concern right. 64 00:03:31,520 --> 00:03:35,080 Speaker 3: Now, which is why we keep putting more and more 65 00:03:35,120 --> 00:03:38,000 Speaker 3: eggs in the AI basket. And I'm wondering if it's 66 00:03:38,000 --> 00:03:40,600 Speaker 3: trickling down like we keep hearing about AI and you 67 00:03:40,680 --> 00:03:42,560 Speaker 3: keep hearing about how it's going to be used everywhere, 68 00:03:42,600 --> 00:03:44,560 Speaker 3: and you keep hearing about how it's I mean, it's 69 00:03:44,600 --> 00:03:48,120 Speaker 3: more than just chat engines or whatever language learning models. 70 00:03:48,760 --> 00:03:51,000 Speaker 3: And I did use some for today's show to help 71 00:03:51,000 --> 00:03:54,160 Speaker 3: me summarize some of the stories that I have, not 72 00:03:54,240 --> 00:03:54,800 Speaker 3: a lot. 73 00:03:54,680 --> 00:03:55,880 Speaker 2: Because what I found was. 74 00:03:57,600 --> 00:03:59,120 Speaker 3: I found a couple of things because I asked it 75 00:03:59,160 --> 00:04:01,280 Speaker 3: to help me create, you know, to come up with 76 00:04:01,320 --> 00:04:03,960 Speaker 3: creative takes on different stories. And what I found was 77 00:04:04,000 --> 00:04:07,680 Speaker 3: I spent a lot of time using the left side 78 00:04:07,680 --> 00:04:10,000 Speaker 3: of my brain trying to figure out what are logical 79 00:04:10,000 --> 00:04:12,480 Speaker 3: prompts in order to get the creative side of AI. 80 00:04:13,640 --> 00:04:17,200 Speaker 3: And then I found myself not accessing the right side 81 00:04:17,200 --> 00:04:18,720 Speaker 3: of my brain, which is the creative side, and that's 82 00:04:18,760 --> 00:04:21,760 Speaker 3: the side I really I like to use right So 83 00:04:22,160 --> 00:04:25,320 Speaker 3: I found my brain being twisted a little bit. And 84 00:04:25,360 --> 00:04:27,599 Speaker 3: so my question to you is, do you use AI 85 00:04:28,000 --> 00:04:31,400 Speaker 3: to cheat at work? Maybe it's not cheating, Maybe you're 86 00:04:31,400 --> 00:04:31,960 Speaker 3: required to do it. 87 00:04:31,960 --> 00:04:34,400 Speaker 2: I don't know. My wife uses it. 88 00:04:34,400 --> 00:04:38,520 Speaker 3: All the time, but she works with contracts, appeals letters. 89 00:04:38,560 --> 00:04:41,599 Speaker 3: She know, she fights with insurance companies. It's basically your job, 90 00:04:42,520 --> 00:04:45,200 Speaker 3: and so she says she uses it. It saves her 91 00:04:45,240 --> 00:04:47,720 Speaker 3: a lot of time, but she has to be meticulous 92 00:04:47,720 --> 00:04:52,120 Speaker 3: with double checking anything that AI uses because it sometimes 93 00:04:52,160 --> 00:04:55,640 Speaker 3: makes things up and she's run into that. And also, 94 00:04:55,760 --> 00:04:58,440 Speaker 3: you may ask it for something specific about, say California 95 00:04:58,480 --> 00:05:01,720 Speaker 3: insurance policies, and it will say, here's what I found about, 96 00:05:02,040 --> 00:05:04,479 Speaker 3: you know, the Medicare reimbursement rates in New York, and 97 00:05:04,480 --> 00:05:06,640 Speaker 3: she's like, that doesn't help, right, So it can be. 98 00:05:06,800 --> 00:05:08,880 Speaker 3: It can be more trouble than it's worth. Here's what 99 00:05:08,920 --> 00:05:11,640 Speaker 3: you said. And by the way, the talkback is still open, 100 00:05:12,040 --> 00:05:13,840 Speaker 3: so if you're on the app, go ahead and hit 101 00:05:13,839 --> 00:05:15,800 Speaker 3: the talkback button and let me know. 102 00:05:15,880 --> 00:05:17,440 Speaker 2: Do you use AI to cheat at work? 103 00:05:18,120 --> 00:05:18,320 Speaker 4: Yeah? 104 00:05:18,320 --> 00:05:20,760 Speaker 5: This is big e and I have definitely used AI 105 00:05:21,080 --> 00:05:23,320 Speaker 5: a couple of times, and I'll never do it again 106 00:05:23,400 --> 00:05:27,600 Speaker 5: because it is so obvious that it has been influenced 107 00:05:27,600 --> 00:05:32,279 Speaker 5: and written by AI that yeah, never gonna use it 108 00:05:32,320 --> 00:05:33,440 Speaker 5: again to cheat at work. 109 00:05:33,920 --> 00:05:36,400 Speaker 2: Yeah, all right, fair enough. And that's what I found too. 110 00:05:36,440 --> 00:05:39,080 Speaker 3: In fact, I was I was using it to write 111 00:05:39,080 --> 00:05:41,320 Speaker 3: some radio teases, you know, when we say here's what's 112 00:05:41,320 --> 00:05:43,880 Speaker 3: coming up, right, And I found that it was using 113 00:05:43,920 --> 00:05:45,919 Speaker 3: a lot of cliches like coming up next, which you 114 00:05:45,960 --> 00:05:50,839 Speaker 3: will never hear me say because that's a radio cliche. Right, 115 00:05:51,200 --> 00:05:53,160 Speaker 3: It's like, hey, how you doing out there? 116 00:05:53,360 --> 00:05:53,480 Speaker 6: Now? 117 00:05:53,680 --> 00:05:55,880 Speaker 3: You'll never hear me say that because that's radio cliche. 118 00:05:55,920 --> 00:05:57,360 Speaker 3: That's the kind of stuff you learned in your first 119 00:05:57,400 --> 00:06:00,800 Speaker 3: year of small market radio. Don't do this right, it's 120 00:06:00,800 --> 00:06:03,320 Speaker 3: so bad. And it tried to do it, so I 121 00:06:03,320 --> 00:06:06,440 Speaker 3: had to tell it, don't do that. That's horrible, and 122 00:06:06,520 --> 00:06:08,599 Speaker 3: I got it. So it was a little bit creative. 123 00:06:09,400 --> 00:06:11,440 Speaker 3: And I told my partner I do a radio show 124 00:06:11,440 --> 00:06:13,440 Speaker 3: with him. And I told my partner, I said, hey, man, 125 00:06:13,880 --> 00:06:16,279 Speaker 3: I'm trying this, and it's all right. I'll be curious 126 00:06:16,279 --> 00:06:17,440 Speaker 3: to see how it works. And we started going and 127 00:06:17,480 --> 00:06:20,120 Speaker 3: he says, I can tell. He said, I could tell 128 00:06:20,120 --> 00:06:24,360 Speaker 3: because it's not exactly your voice. It's not exactly how 129 00:06:24,400 --> 00:06:26,400 Speaker 3: you would say things. And that's even after I tweaked 130 00:06:26,440 --> 00:06:29,440 Speaker 3: what AI gave me a little bit, so give me something. 131 00:06:29,520 --> 00:06:31,640 Speaker 3: I go, okay, I'll do this, and I would tell AI, hey, 132 00:06:31,640 --> 00:06:32,840 Speaker 3: this is what I ended up using it, and it 133 00:06:32,839 --> 00:06:35,520 Speaker 3: goes that's helpful, and it's getting better and learning what 134 00:06:35,560 --> 00:06:38,279 Speaker 3: my voice is, but it's still not right. 135 00:06:39,320 --> 00:06:43,280 Speaker 7: My job is prize picks and it makes up information. 136 00:06:43,640 --> 00:06:46,840 Speaker 3: So now I don't use it, Okay, Yeah, man, the 137 00:06:47,640 --> 00:06:49,920 Speaker 3: phantom info is is a bad deal. 138 00:06:50,320 --> 00:06:50,840 Speaker 2: Bad deal. 139 00:06:51,240 --> 00:06:54,920 Speaker 4: I can't cheat because I've been at work so long. 140 00:06:56,160 --> 00:06:59,520 Speaker 4: My supervisor knows exactly how I write, and it would 141 00:06:59,560 --> 00:07:01,919 Speaker 4: be at goal change from when I usually write, So 142 00:07:02,120 --> 00:07:06,520 Speaker 4: I would be in trouble or using AI because everyone 143 00:07:06,560 --> 00:07:07,400 Speaker 4: knows how Am I right? 144 00:07:07,600 --> 00:07:09,240 Speaker 2: Yes? And that's what I'm running into. 145 00:07:09,880 --> 00:07:11,920 Speaker 3: I've also found that a lot of the AI videos 146 00:07:11,920 --> 00:07:14,120 Speaker 3: that are coming out, and some people are fooled by them. 147 00:07:14,120 --> 00:07:16,960 Speaker 3: But if you watch enough videos that are AI, you 148 00:07:17,040 --> 00:07:19,880 Speaker 3: start picking up on what is AI like it becomes obvious. 149 00:07:19,920 --> 00:07:22,600 Speaker 2: Like I've seen, it might be a completely different face. 150 00:07:22,640 --> 00:07:24,600 Speaker 3: You might have a young white woman in one video 151 00:07:24,640 --> 00:07:26,960 Speaker 3: and you might have an old, grizzled Mexican man and 152 00:07:27,040 --> 00:07:30,000 Speaker 3: another video, but they have the same speech pattern, and 153 00:07:30,120 --> 00:07:33,680 Speaker 3: you go, they're not real. They look real. But you know, 154 00:07:35,240 --> 00:07:37,680 Speaker 3: we're good at picking up those nuances. AI is not 155 00:07:37,720 --> 00:07:38,680 Speaker 3: so good at separating. 156 00:07:38,880 --> 00:07:40,280 Speaker 8: Hey, Chris, how you doing? 157 00:07:40,680 --> 00:07:41,240 Speaker 2: Damning? 158 00:07:41,320 --> 00:07:41,520 Speaker 6: Hey? 159 00:07:41,560 --> 00:07:43,240 Speaker 8: I don't up this costs or not, But I'm a 160 00:07:43,280 --> 00:07:48,160 Speaker 8: truck driver. I talk to it and sometimes I'll say 161 00:07:48,160 --> 00:07:50,200 Speaker 8: your here, and I'll have a conversation with it, like 162 00:07:50,240 --> 00:07:56,760 Speaker 8: the person that's cool. You know, I'll talk about regulations 163 00:07:56,800 --> 00:08:02,480 Speaker 8: on trucks, talk about music, talk about system tells a lot. 164 00:08:03,280 --> 00:08:05,680 Speaker 8: That's good, tell me a few things. 165 00:08:06,480 --> 00:08:09,280 Speaker 3: All right, it does count. And I think you're I 166 00:08:09,280 --> 00:08:13,520 Speaker 3: think you're using it correctly. I like that, although be 167 00:08:13,600 --> 00:08:19,760 Speaker 3: careful because Meta has announced that's Facebook, Instagram. Meta has 168 00:08:19,760 --> 00:08:22,920 Speaker 3: announced that they're going to start using your conversations with 169 00:08:23,000 --> 00:08:25,840 Speaker 3: their AI chatbot to help personalize ads and content and 170 00:08:25,960 --> 00:08:28,000 Speaker 3: offer you a glimpse of just how the company intends 171 00:08:28,000 --> 00:08:32,120 Speaker 3: to pay for its expensive artificial intelligence efforts. Yes, they're 172 00:08:32,160 --> 00:08:36,880 Speaker 3: harvesting info. Remember, if it's free, you're the product that's 173 00:08:36,880 --> 00:08:40,079 Speaker 3: on Meta. So far, I don't know that others are 174 00:08:40,120 --> 00:08:41,880 Speaker 3: doing it yet. I don't know that they're not going to. 175 00:08:43,480 --> 00:08:45,440 Speaker 3: There is a concern that we're in an AI bubble. 176 00:08:46,840 --> 00:08:49,400 Speaker 3: Have we dumped too much into the AI basket? 177 00:08:50,400 --> 00:08:50,959 Speaker 2: What if? 178 00:08:52,200 --> 00:08:54,200 Speaker 3: What if we are at a bubble similar to what 179 00:08:54,200 --> 00:08:55,439 Speaker 3: we saw with the dot com is back in the 180 00:08:55,520 --> 00:09:00,959 Speaker 3: nineteen nineties. Oh man, are we about to see the 181 00:09:01,000 --> 00:09:06,480 Speaker 3: Magnificent seven go down to magnificent toilet? The billionaires say no, no, no, no, 182 00:09:06,720 --> 00:09:08,760 Speaker 3: keep using it. I'll tell you who's high on it, 183 00:09:08,760 --> 00:09:10,640 Speaker 3: because he's already got billions in the bank. That's next. 184 00:09:10,679 --> 00:09:13,840 Speaker 3: Chris Merril KFI AM six forty. We're live everywhere on 185 00:09:13,880 --> 00:09:16,360 Speaker 3: the iHeart Radio app. Elean Gonzalez is live from the 186 00:09:16,400 --> 00:09:18,680 Speaker 3: KFI twenty four. She's really live. It's really Ileen. 187 00:09:19,080 --> 00:09:20,120 Speaker 9: I am really live. 188 00:09:20,320 --> 00:09:23,200 Speaker 2: That's like, that's right, That's why I like you. 189 00:09:23,200 --> 00:09:26,920 Speaker 1: You're listening to KFI AM six forty on demand. 190 00:09:26,640 --> 00:09:30,640 Speaker 3: Chris Merrill and from O Kelly, KFI AM six forty 191 00:09:31,160 --> 00:09:35,280 Speaker 3: more stimulating talk on demand anytime on the iHeart Radio 192 00:09:35,320 --> 00:09:39,160 Speaker 3: app Talking AI And I'm wondering if you're on the app, 193 00:09:39,200 --> 00:09:40,440 Speaker 3: go ahead and hit that talk back button. 194 00:09:40,480 --> 00:09:42,800 Speaker 2: Let me know. Do you ever use AI to cheat 195 00:09:43,480 --> 00:09:45,320 Speaker 2: at work? All right? 196 00:09:45,800 --> 00:09:49,520 Speaker 3: Or maybe you don't. I think the most interesting one 197 00:09:49,520 --> 00:09:51,520 Speaker 3: we've had so far was the truck driver. He says 198 00:09:51,520 --> 00:09:54,319 Speaker 3: that he listens to it, you know, kind of has 199 00:09:54,320 --> 00:09:56,600 Speaker 3: conversations with it. He says, he learns a lot. That's 200 00:09:56,760 --> 00:10:01,560 Speaker 3: really fascinating to me. I have a tendency to do 201 00:10:01,679 --> 00:10:04,680 Speaker 3: these long cross country drives. I have family in northern Michigan, 202 00:10:04,720 --> 00:10:07,559 Speaker 3: and I I will You didn't hear this from me, 203 00:10:08,000 --> 00:10:10,200 Speaker 3: I will I will drive straight through and if I 204 00:10:10,240 --> 00:10:11,839 Speaker 3: have to have a little finer meme to help me out. 205 00:10:11,880 --> 00:10:14,600 Speaker 2: It's five hour energy. It's a little diet pill. Off 206 00:10:14,640 --> 00:10:15,080 Speaker 2: I go. 207 00:10:15,640 --> 00:10:18,800 Speaker 3: And I'll drive all night and it freaks my family out, 208 00:10:18,880 --> 00:10:22,280 Speaker 3: but it's it's not been a problem. 209 00:10:22,480 --> 00:10:23,720 Speaker 2: Yeah, just get off the road when I do it 210 00:10:23,720 --> 00:10:24,040 Speaker 2: as all. 211 00:10:25,200 --> 00:10:26,560 Speaker 3: But I got to tell you there are times that 212 00:10:26,600 --> 00:10:29,720 Speaker 3: you're like, Okay, this could not be more boring. And 213 00:10:29,800 --> 00:10:31,920 Speaker 3: what I find is I will listen to I try 214 00:10:31,920 --> 00:10:33,679 Speaker 3: to plan those trips when I know that there's. 215 00:10:33,520 --> 00:10:35,200 Speaker 2: A full day of football on. 216 00:10:35,480 --> 00:10:36,880 Speaker 3: So I'll try to do it on a weekend where 217 00:10:36,880 --> 00:10:38,880 Speaker 3: I get to listen to college football on Saturday, and 218 00:10:38,880 --> 00:10:40,679 Speaker 3: then I know I'm going to get NFL on Sunday 219 00:10:40,720 --> 00:10:43,000 Speaker 3: and I'll listen to sports talk shows overnight. 220 00:10:43,360 --> 00:10:47,720 Speaker 2: You know. So that's that's how I tend to plan it. 221 00:10:47,760 --> 00:10:50,200 Speaker 3: But now I'm fascinated by the idea of driving and 222 00:10:50,200 --> 00:10:51,280 Speaker 3: then having AI. 223 00:10:52,640 --> 00:10:56,280 Speaker 2: Converse with you and also you know, ask you questions. 224 00:10:56,720 --> 00:10:57,560 Speaker 9: My car does that? 225 00:10:58,040 --> 00:10:58,480 Speaker 2: It does? 226 00:10:58,559 --> 00:11:01,240 Speaker 9: Yeah, I have a Tesla and I recently did the update, 227 00:11:01,240 --> 00:11:03,880 Speaker 9: and I have groc and it's like I'm like, tell 228 00:11:03,920 --> 00:11:05,800 Speaker 9: me a story about a dog, tell me happy story 229 00:11:05,840 --> 00:11:07,480 Speaker 9: about a dog, and starts telling me this whole story 230 00:11:07,480 --> 00:11:10,360 Speaker 9: about a Golden Riches. Yeah, it's pretty cool. And it 231 00:11:10,400 --> 00:11:13,040 Speaker 9: also has a therapist section to it. 232 00:11:13,320 --> 00:11:16,560 Speaker 3: So that is really interesting to me, the whole therapy side. 233 00:11:16,559 --> 00:11:18,440 Speaker 3: And I've talked with doctor Wendy about this too, you know, 234 00:11:18,600 --> 00:11:20,160 Speaker 3: and she's a little leery. 235 00:11:20,600 --> 00:11:21,560 Speaker 2: I think that's fair to say. 236 00:11:22,559 --> 00:11:24,560 Speaker 9: Yeah, I think you should definitely be careful with that. 237 00:11:24,920 --> 00:11:27,760 Speaker 3: Yeah, but I don't hate it if you're trying to 238 00:11:27,800 --> 00:11:31,439 Speaker 3: combat loneliness. Yeah, if it just feels like you've got 239 00:11:31,440 --> 00:11:32,559 Speaker 3: a companion. 240 00:11:32,200 --> 00:11:34,200 Speaker 9: Yes, like somebody's sitting in the passenger seat. 241 00:11:34,280 --> 00:11:35,040 Speaker 2: Yeah. 242 00:11:35,440 --> 00:11:37,040 Speaker 3: And I'm the kind of geek that I would see 243 00:11:37,080 --> 00:11:41,280 Speaker 3: something on the roadway and I would say, hey, Rock, 244 00:11:41,960 --> 00:11:44,240 Speaker 3: what's the story on the largest ball? 245 00:11:44,240 --> 00:11:46,960 Speaker 2: It's wine? Like whose idea was that? And how did 246 00:11:46,960 --> 00:11:47,560 Speaker 2: it come about? 247 00:11:47,800 --> 00:11:48,960 Speaker 9: You know, I would tell you. 248 00:11:49,200 --> 00:11:50,200 Speaker 2: That's what I would love to do. 249 00:11:50,280 --> 00:11:52,360 Speaker 3: I would just love to have it basically narrate for 250 00:11:52,480 --> 00:11:54,640 Speaker 3: me like a tour guide while I'm driving across the country. 251 00:11:55,400 --> 00:11:57,199 Speaker 9: I'm gonna have to do that, except the only thing 252 00:11:57,200 --> 00:11:59,000 Speaker 9: with the Tesla is not very good for road trips. 253 00:11:59,240 --> 00:12:01,280 Speaker 2: Keep having you got to stop in a few hours. 254 00:12:02,120 --> 00:12:04,920 Speaker 9: Yeah, I always rent cars for that. Oh do you 255 00:12:05,559 --> 00:12:06,720 Speaker 9: that's interesting for long trips. 256 00:12:06,800 --> 00:12:11,000 Speaker 3: Yeah, yeah, I get that, but you're saving a buttload 257 00:12:11,040 --> 00:12:13,920 Speaker 3: on gas too. Oh no, when you see this refinery fire, 258 00:12:14,000 --> 00:12:14,360 Speaker 3: you're like. 259 00:12:14,440 --> 00:12:19,760 Speaker 9: Yeah, yeah, I was cheering. I'm like, yeah, burn baby. No, no, no, 260 00:12:19,800 --> 00:12:23,079 Speaker 9: not at all, not at all. No, it's actually close 261 00:12:23,120 --> 00:12:25,600 Speaker 9: to where I live, so yeah, really scary. 262 00:12:25,640 --> 00:12:25,800 Speaker 2: Yeah. 263 00:12:25,800 --> 00:12:27,720 Speaker 9: I have friends calling me. You work in the news. 264 00:12:27,760 --> 00:12:28,360 Speaker 9: What's going on? 265 00:12:28,520 --> 00:12:28,760 Speaker 10: Help? 266 00:12:28,840 --> 00:12:30,200 Speaker 9: What do we need to know? 267 00:12:30,440 --> 00:12:34,520 Speaker 2: Yeah? Huh? Was it me? Could you smell it at 268 00:12:34,559 --> 00:12:37,760 Speaker 2: your place? Was it stanky? They were saying, like, well, 269 00:12:37,760 --> 00:12:38,679 Speaker 2: the air quality tested. 270 00:12:38,720 --> 00:12:41,320 Speaker 9: Okay, the air was blowing the other way from me, 271 00:12:41,559 --> 00:12:43,800 Speaker 9: so I was fine. But yeah, my friends, my friend 272 00:12:43,840 --> 00:12:45,920 Speaker 9: said they could smell it. One of my friends was 273 00:12:45,960 --> 00:12:46,880 Speaker 9: irritating her eyes. 274 00:12:47,640 --> 00:12:51,280 Speaker 2: Oh okay, did she have red, itchy irritated eyelids? 275 00:12:51,400 --> 00:12:52,280 Speaker 9: That's what she said. 276 00:12:52,520 --> 00:12:54,439 Speaker 2: Yeah, it could be caused by mites. 277 00:12:55,880 --> 00:12:59,199 Speaker 9: Was that demodermics something, you know, leferitis? 278 00:12:59,280 --> 00:13:05,280 Speaker 2: Something irritated. I ain't linz. I love that commercial so much. 279 00:13:06,320 --> 00:13:07,000 Speaker 9: It's cheap. 280 00:13:07,679 --> 00:13:09,679 Speaker 3: Every time it comes on, I tell you, Kayla is 281 00:13:09,679 --> 00:13:12,320 Speaker 3: producing remotely today, And every time it comes on, I'm 282 00:13:12,320 --> 00:13:16,040 Speaker 3: just like, hey, Kayla, red it irritated. 283 00:13:16,200 --> 00:13:19,160 Speaker 2: I ain't linz. I hate you. 284 00:13:19,720 --> 00:13:21,160 Speaker 9: Yeah, the songs get stuck in your head. 285 00:13:21,240 --> 00:13:23,400 Speaker 2: I love it so much. All Right, here we go 286 00:13:23,679 --> 00:13:24,400 Speaker 2: your talkbacks. 287 00:13:24,880 --> 00:13:27,200 Speaker 10: I don't use AI my job. I'm a truck driver 288 00:13:27,360 --> 00:13:32,600 Speaker 10: and I haul chemicals, so there's no use for AI here. 289 00:13:33,080 --> 00:13:35,560 Speaker 10: I use it for other things, but yeah, for my job. 290 00:13:35,640 --> 00:13:40,040 Speaker 3: Now, I bet the I bet that the people at 291 00:13:40,120 --> 00:13:43,320 Speaker 3: his office use it for things though. That's where they 292 00:13:43,320 --> 00:13:46,760 Speaker 3: say that the AI is is the biggest threat to 293 00:13:46,880 --> 00:13:52,360 Speaker 3: jobs is office jobs and middle management. Entry level and 294 00:13:52,400 --> 00:13:54,640 Speaker 3: middle management, they say, is where the biggest threat is. 295 00:13:54,720 --> 00:13:57,079 Speaker 3: And all I can think is, well, don't you think 296 00:13:57,120 --> 00:14:01,360 Speaker 3: AI could easily replace the CEOs? Unfortunately, would have to 297 00:14:01,400 --> 00:14:04,360 Speaker 3: be the CEOs that would decide to replace themselves with AI. 298 00:14:04,480 --> 00:14:05,560 Speaker 2: And they're not gonna do that. 299 00:14:06,960 --> 00:14:09,800 Speaker 3: You ever notice the CEOs never when it comes time 300 00:14:09,840 --> 00:14:14,560 Speaker 3: to right sizing reductions and force the people on top 301 00:14:14,800 --> 00:14:16,720 Speaker 3: never get reduced ever. 302 00:14:17,520 --> 00:14:17,960 Speaker 2: All right? 303 00:14:18,040 --> 00:14:22,560 Speaker 11: From talkbacks, Chris, Hey, I've used AI to get winning 304 00:14:22,960 --> 00:14:24,440 Speaker 11: lottery and Keino numbers. 305 00:14:25,000 --> 00:14:25,760 Speaker 9: That didn't work. 306 00:14:26,000 --> 00:14:27,960 Speaker 2: Oh that's too bad. 307 00:14:28,640 --> 00:14:32,760 Speaker 11: Watch the original nineteen seventy three West World movie with 308 00:14:32,880 --> 00:14:36,720 Speaker 11: Yule Brenner. Watch nineteen sixty eight two thousand and one 309 00:14:36,760 --> 00:14:37,640 Speaker 11: Space Odyssey. 310 00:14:38,400 --> 00:14:42,400 Speaker 3: Oh yeah, that's how I can't do that, Dave. 311 00:14:42,960 --> 00:14:46,160 Speaker 11: Watch I Robot with Will Smith, and you have your answer. 312 00:14:46,800 --> 00:14:50,160 Speaker 11: AI is the devil. Oh, good night and good luck. 313 00:14:50,240 --> 00:14:52,240 Speaker 2: Thank you? Oh, good night and good luck. 314 00:14:54,000 --> 00:14:54,200 Speaker 11: Yeah. 315 00:14:54,240 --> 00:14:56,800 Speaker 3: But there's also been a number of films where AI 316 00:14:56,880 --> 00:15:02,480 Speaker 3: has been good. 317 00:15:04,440 --> 00:15:06,480 Speaker 2: Truth be told. Here. I've got another story. Let me 318 00:15:06,520 --> 00:15:10,040 Speaker 2: see where's a Where is this? Oh? I had it 319 00:15:10,120 --> 00:15:11,680 Speaker 2: schedule for the next segment. I'll do it now. 320 00:15:12,840 --> 00:15:17,920 Speaker 3: A story about how AI can design toxic proteins and 321 00:15:17,960 --> 00:15:22,240 Speaker 3: they are escaping through biosecurity cracks. A research team patched 322 00:15:22,240 --> 00:15:24,840 Speaker 3: one vulnerability. They say safeguarding against the next ones will 323 00:15:24,920 --> 00:15:29,160 Speaker 3: require constant vigilance. This from the Washington Post. So scientists 324 00:15:29,200 --> 00:15:32,040 Speaker 3: are discovering a vulnerability, and the safety net intended to 325 00:15:32,040 --> 00:15:35,200 Speaker 3: prevent bad actors from using artificial intelligence tools to concoct 326 00:15:35,200 --> 00:15:40,600 Speaker 3: hazardous proteins for warfare or terrorism. In other words, toxins, biowarfare. 327 00:15:41,200 --> 00:15:46,360 Speaker 3: AI can accelerate the development of these weapons, and that 328 00:15:46,400 --> 00:15:49,480 Speaker 3: can be used against this. I don't think that the 329 00:15:49,520 --> 00:15:53,240 Speaker 3: threat of AI is AI itself. I think we are 330 00:15:53,520 --> 00:15:57,440 Speaker 3: far more likely to use AI to wipe ourselves out. 331 00:15:58,560 --> 00:16:00,240 Speaker 2: That's where I think the threat is. 332 00:16:00,560 --> 00:16:03,600 Speaker 3: I'm not concerned about AI becoming sentient and deciding it's 333 00:16:03,600 --> 00:16:07,280 Speaker 3: gonna protect itself and wipe out all of humanity. I'm 334 00:16:07,320 --> 00:16:09,800 Speaker 3: concerned about all of humanity using AI to wipe out 335 00:16:09,840 --> 00:16:14,800 Speaker 3: all of humanity. That's my biggest my biggest fear. We'll 336 00:16:14,800 --> 00:16:17,320 Speaker 3: get more of your thoughts here the talk about question. 337 00:16:17,360 --> 00:16:19,320 Speaker 3: Do you use AI to cheat at work or anything 338 00:16:19,520 --> 00:16:21,760 Speaker 3: else that you've got thoughts on the AI? I love 339 00:16:21,800 --> 00:16:26,600 Speaker 3: that and Mark Cuban says he loves it. AI is 340 00:16:26,600 --> 00:16:30,160 Speaker 3: the great democratizer. I'll tell you how. He's a bit 341 00:16:30,200 --> 00:16:33,000 Speaker 3: contradictory in his own thoughts and he's a guy I 342 00:16:33,040 --> 00:16:33,600 Speaker 3: actually like. 343 00:16:34,080 --> 00:16:37,280 Speaker 2: But that's next. I'm Chris merrily Ian from Okilly. 344 00:16:38,040 --> 00:16:41,440 Speaker 1: You're listening to KFI AM sixty on demand. 345 00:16:41,680 --> 00:16:44,160 Speaker 3: It's never disappointed. I love it when I love it 346 00:16:44,200 --> 00:16:45,640 Speaker 3: when we get a chance to talk. I'd love this 347 00:16:45,760 --> 00:16:48,840 Speaker 3: talkback on the on the iHeartRadio app. I just love 348 00:16:48,880 --> 00:16:52,600 Speaker 3: it because I ask you, do you use AI to 349 00:16:52,680 --> 00:16:54,320 Speaker 3: cheat at work? Or you know, maybe you're using it 350 00:16:54,360 --> 00:16:56,080 Speaker 3: somewhere else in your life. Just curious about how you're 351 00:16:56,160 --> 00:16:59,240 Speaker 3: using it? And you guys have given some great responses 352 00:16:59,240 --> 00:16:59,600 Speaker 3: so far. 353 00:17:00,480 --> 00:17:02,040 Speaker 2: How else? And I'm going to tell you what Mark 354 00:17:02,080 --> 00:17:04,480 Speaker 2: Cuban uses it for here in just a Moment too, But. 355 00:17:04,480 --> 00:17:08,040 Speaker 3: I think Mark Cuban is missing some key details of 356 00:17:08,119 --> 00:17:08,959 Speaker 3: the AI stuff. 357 00:17:09,720 --> 00:17:12,879 Speaker 6: Hey, Chris, don't use AI for work because it's not 358 00:17:12,920 --> 00:17:15,080 Speaker 6: good enough. Oh but I'll tell you when I think 359 00:17:15,080 --> 00:17:16,000 Speaker 6: it will be good enough. 360 00:17:16,240 --> 00:17:17,879 Speaker 3: I kind of feel his I kind of feel that 361 00:17:18,000 --> 00:17:19,359 Speaker 3: I've tinkered with it this week, and I feel like 362 00:17:19,440 --> 00:17:20,880 Speaker 3: it's not quite ready for prime time. 363 00:17:22,200 --> 00:17:25,680 Speaker 6: And that's sometime in twenty twenty eight. Why after in 364 00:17:25,840 --> 00:17:29,440 Speaker 6: Video releases their Fieman GPU. 365 00:17:30,760 --> 00:17:36,720 Speaker 2: Tony, is this guy talking in geek? Sure sounds like 366 00:17:37,040 --> 00:17:37,800 Speaker 2: I love it. 367 00:17:37,920 --> 00:17:42,000 Speaker 3: I love talking geek. Oh my gosh, Well you want 368 00:17:42,000 --> 00:17:44,520 Speaker 3: to just get my attention. You start talking about you 369 00:17:44,560 --> 00:17:46,919 Speaker 3: start talking in geek, or you start talking about power 370 00:17:46,920 --> 00:17:47,560 Speaker 3: tools and. 371 00:17:47,480 --> 00:17:49,840 Speaker 2: I am in Okay, go ahead, all right? What's the 372 00:17:49,880 --> 00:17:51,120 Speaker 2: fine in GPU? 373 00:17:51,800 --> 00:17:55,200 Speaker 6: Because the FIE then will be able to do actual reasoning, 374 00:17:55,840 --> 00:18:00,080 Speaker 6: not simulated reasoning. Oh like the current GPUs for a 375 00:18:01,160 --> 00:18:05,560 Speaker 6: it's potentially scary. Yeah, kind of game changer. 376 00:18:05,359 --> 00:18:07,520 Speaker 3: Total game changer. So if it can reason, then it 377 00:18:07,560 --> 00:18:13,119 Speaker 3: could reason how it should teach itself. Oh, talk geek 378 00:18:13,160 --> 00:18:15,600 Speaker 3: to me, talk geek to me. 379 00:18:17,000 --> 00:18:18,960 Speaker 2: I love that. Thanks for that call. 380 00:18:19,400 --> 00:18:22,040 Speaker 7: Chat GPT has the same feature as a Tesla. I 381 00:18:22,160 --> 00:18:27,159 Speaker 7: just use that on my phone and I've had lovely conversations. 382 00:18:27,320 --> 00:18:29,080 Speaker 2: Oh it's like you Ilean, he's doing the same thing 383 00:18:29,119 --> 00:18:29,679 Speaker 2: talking to his car. 384 00:18:30,400 --> 00:18:32,280 Speaker 9: Yeah, but he does probably does it through his phone. 385 00:18:32,840 --> 00:18:35,679 Speaker 3: He said he uses chat GPT through his phone. Oh no, 386 00:18:35,800 --> 00:18:38,120 Speaker 3: he said. He said, he's got chat GPT in his phone. 387 00:18:38,160 --> 00:18:39,880 Speaker 3: It does the same thing as what Tesla does. Because 388 00:18:39,920 --> 00:18:41,080 Speaker 3: Tesla is going to be rock right. 389 00:18:41,600 --> 00:18:44,240 Speaker 9: Yeah, I think Min's schooler because it's kind of like, 390 00:18:44,359 --> 00:18:49,680 Speaker 9: what was that kit? Oh yeah, yeah, exactly. 391 00:18:49,400 --> 00:18:53,040 Speaker 2: Very good. What was it? What night Rider? 392 00:18:54,240 --> 00:18:54,320 Speaker 3: No? 393 00:18:54,800 --> 00:18:57,280 Speaker 2: Night Industries kit stood for something? The K I T 394 00:18:57,280 --> 00:18:59,960 Speaker 2: T two thousand. Oh is that what it was? Yeah, 395 00:19:00,119 --> 00:19:01,240 Speaker 2: Night Industries two thousand. 396 00:19:01,280 --> 00:19:06,600 Speaker 3: That was See Tony speaks, Geek. I watched the show, 397 00:19:06,840 --> 00:19:11,840 Speaker 3: I know, beautiful, main love it. That's one of those 398 00:19:11,840 --> 00:19:15,520 Speaker 3: shows you watch. Chips is another one. You watch those 399 00:19:15,520 --> 00:19:17,720 Speaker 3: shows from like the seventies and eighties, and then you 400 00:19:17,840 --> 00:19:20,760 Speaker 3: see stars that were making the guest appearances, but they 401 00:19:20,760 --> 00:19:21,919 Speaker 3: weren't stars yet. 402 00:19:22,119 --> 00:19:24,240 Speaker 2: So I'm flipping through, I don't know. 403 00:19:24,280 --> 00:19:26,040 Speaker 3: It was late night and h and I see night 404 00:19:26,080 --> 00:19:29,679 Speaker 3: Rider was on, and I started watching it and Geina 405 00:19:29,800 --> 00:19:32,640 Speaker 3: Davis was the was the girl who needed Michael Knight's help, 406 00:19:32,760 --> 00:19:33,960 Speaker 3: and I was like, this is great. 407 00:19:34,240 --> 00:19:35,159 Speaker 2: It's Geena Davis. 408 00:19:36,119 --> 00:19:38,200 Speaker 9: Nice. I love Geena Davis, I know, but. 409 00:19:38,200 --> 00:19:40,000 Speaker 2: She hadn't been you know, we didn't know her then. 410 00:19:40,720 --> 00:19:41,919 Speaker 2: I just love it. I love those old. 411 00:19:41,760 --> 00:19:43,080 Speaker 9: Shows where they were stars. 412 00:19:43,200 --> 00:19:45,160 Speaker 2: Yeah, it's perfect. 413 00:19:45,119 --> 00:19:49,360 Speaker 7: With AI for long cross country trips. Although it does 414 00:19:49,480 --> 00:19:51,560 Speaker 7: limit the amount of time you could talk to it. 415 00:19:51,840 --> 00:19:54,840 Speaker 7: You get a few hours at a time, but they'll 416 00:19:54,840 --> 00:19:57,960 Speaker 7: tell stories. I'll give you interesting information about the roadside. 417 00:19:58,640 --> 00:20:00,680 Speaker 7: All of that stuff is possible, So it's a great 418 00:20:00,720 --> 00:20:01,399 Speaker 7: tool for that. 419 00:20:01,400 --> 00:20:01,920 Speaker 2: That's cool. 420 00:20:02,320 --> 00:20:07,960 Speaker 3: Oh yeah, chat GPT has limitations unless you pay for it, right, yeah. 421 00:20:07,960 --> 00:20:10,280 Speaker 9: Yeah, it says you've reached your limit, then you have 422 00:20:10,320 --> 00:20:14,800 Speaker 9: to pay chat GPT. Yeah you get like no, I 423 00:20:14,840 --> 00:20:17,480 Speaker 9: think it comes with my Tesla. With the Tesla, well, 424 00:20:17,480 --> 00:20:19,400 Speaker 9: I pay like I don't know how much a month 425 00:20:19,480 --> 00:20:22,119 Speaker 9: for a few extra features like the fart features and 426 00:20:22,160 --> 00:20:27,919 Speaker 9: all that. Yes, my car farts, Hold on, Eileen, Yes, 427 00:20:28,680 --> 00:20:30,040 Speaker 9: you're a respected journalist. 428 00:20:30,280 --> 00:20:33,520 Speaker 2: My car in the second largest medium marketing. 429 00:20:33,480 --> 00:20:36,000 Speaker 9: I make my car. I choose the quack over the fart. 430 00:20:36,280 --> 00:20:39,000 Speaker 2: But it's not my concern is not that the car 431 00:20:39,040 --> 00:20:41,160 Speaker 2: makes the fart noise. My concern is that you're paying 432 00:20:41,200 --> 00:20:42,920 Speaker 2: for the car to make fart noises. 433 00:20:42,960 --> 00:20:48,320 Speaker 9: I pay for that. I pay for some radio features, 434 00:20:48,440 --> 00:20:49,080 Speaker 9: and that's fair. 435 00:20:49,400 --> 00:20:49,920 Speaker 2: I like that. 436 00:20:49,960 --> 00:20:51,320 Speaker 9: There's more that comes with it. 437 00:20:51,440 --> 00:20:54,120 Speaker 2: Okay, you have subscriptions in your cars. That what you're 438 00:20:54,119 --> 00:21:00,479 Speaker 2: telling Chris great show. You hear that, everybody, one more time. 439 00:21:00,560 --> 00:21:03,480 Speaker 2: Let's hear what he says, Chris, great show. He said 440 00:21:03,520 --> 00:21:04,080 Speaker 2: great show. 441 00:21:04,680 --> 00:21:11,320 Speaker 3: So I needed that because Keyla sends me all the 442 00:21:11,320 --> 00:21:12,880 Speaker 3: ones that people tell me how much they hate. 443 00:21:12,680 --> 00:21:14,280 Speaker 2: Me too, and I have to listen to those. But 444 00:21:14,320 --> 00:21:15,239 Speaker 2: I don't blame on the air. 445 00:21:16,359 --> 00:21:19,480 Speaker 12: Respond to your AI question, Okay, yes, I use AI 446 00:21:20,560 --> 00:21:24,960 Speaker 12: pretty much every single day to help expedite what I 447 00:21:25,040 --> 00:21:30,680 Speaker 12: do in writing emails, analyzing reports, et cetera. It's a 448 00:21:30,720 --> 00:21:34,800 Speaker 12: great aid to have, and on top of that, most 449 00:21:34,840 --> 00:21:37,520 Speaker 12: of my colleagues, if not all, use it, and so 450 00:21:37,560 --> 00:21:39,119 Speaker 12: it's the only way I can really keep up with 451 00:21:39,160 --> 00:21:39,480 Speaker 12: the work. 452 00:21:39,600 --> 00:21:41,720 Speaker 2: So there you go. There you go. Okay, So it's 453 00:21:41,720 --> 00:21:43,200 Speaker 2: the only way you can keep up with the work. 454 00:21:43,240 --> 00:21:45,600 Speaker 3: And this is why I'm tinkering with it because I 455 00:21:45,640 --> 00:21:48,639 Speaker 3: feel like if I don't, I'm going to get left behind. 456 00:21:49,160 --> 00:21:50,760 Speaker 3: And I have to tell you this, It's one of 457 00:21:50,800 --> 00:21:52,879 Speaker 3: those deals where I'm getting to that age where the 458 00:21:52,920 --> 00:21:56,560 Speaker 3: new technology breaks and I'm I'm really hesitanting to embrace it, 459 00:21:56,600 --> 00:21:59,199 Speaker 3: but I'm so concerned that if I don't, I'm going 460 00:21:59,280 --> 00:22:03,120 Speaker 3: to get left beyond. Mark Cuban sat down with Axios 461 00:22:03,119 --> 00:22:05,119 Speaker 3: and he was talking about AI and they were asking 462 00:22:05,200 --> 00:22:07,399 Speaker 3: him what he thought about it, and he said that 463 00:22:07,440 --> 00:22:09,360 Speaker 3: AI was the great democratizer. 464 00:22:10,160 --> 00:22:13,720 Speaker 2: Now how do you come with that? So he's doing this. 465 00:22:15,320 --> 00:22:19,200 Speaker 3: Conversation with Axios and they said, what do you mean 466 00:22:19,200 --> 00:22:22,199 Speaker 3: by that? And he said, right now, if you are 467 00:22:22,200 --> 00:22:24,880 Speaker 3: a fourteen to eighteen year old, you are you're in 468 00:22:25,000 --> 00:22:27,920 Speaker 3: not so good circumstances. You have access to the best 469 00:22:27,920 --> 00:22:31,320 Speaker 3: professors and the best consultants. It allows people who otherwise 470 00:22:31,359 --> 00:22:34,800 Speaker 3: would not have access to any resources to have access 471 00:22:34,800 --> 00:22:38,520 Speaker 3: to the best resources. In real time, you can compete 472 00:22:38,600 --> 00:22:45,000 Speaker 3: with anybody. So the thinking is that AI is a 473 00:22:45,040 --> 00:22:46,960 Speaker 3: tool that all of a sudden, we all have the 474 00:22:47,000 --> 00:22:49,960 Speaker 3: same tool. It's not like your tool is better than 475 00:22:50,000 --> 00:22:51,520 Speaker 3: that tool and that gives you an advantage. We all 476 00:22:51,560 --> 00:22:53,760 Speaker 3: have the same tool. The problem is if you're using 477 00:22:53,840 --> 00:22:58,080 Speaker 3: AI to learn, if you're using AI like a twenty 478 00:22:58,119 --> 00:23:01,600 Speaker 3: twenty five version of goodwill hunting to give you the 479 00:23:01,840 --> 00:23:07,040 Speaker 3: education that everyone else can have. You are You're accessing 480 00:23:07,080 --> 00:23:10,080 Speaker 3: the best professors and consultants, but they're only the best 481 00:23:10,080 --> 00:23:12,199 Speaker 3: in fields where humans are no longer needed. 482 00:23:13,480 --> 00:23:15,280 Speaker 2: AI is not going to train you. 483 00:23:15,400 --> 00:23:20,120 Speaker 3: On a better technique to run a back hope, right, 484 00:23:20,520 --> 00:23:23,120 Speaker 3: It's not going to train you on a better technique 485 00:23:23,160 --> 00:23:27,080 Speaker 3: to be a long haul driver. These are jobs that 486 00:23:27,119 --> 00:23:29,600 Speaker 3: are going to be necessary in the future that can't 487 00:23:29,640 --> 00:23:32,359 Speaker 3: be replaced by AI. These are the jobs that AI 488 00:23:32,520 --> 00:23:36,000 Speaker 3: cannot train you on. So basically, if AI can teach it, 489 00:23:36,240 --> 00:23:40,240 Speaker 3: AI can do it, and you're redundant. Now that's not 490 00:23:40,240 --> 00:23:42,360 Speaker 3: to say you shouldn't expand your knowledge base, you shouldn't 491 00:23:42,359 --> 00:23:45,119 Speaker 3: absorb as much as you possibly can. I love that 492 00:23:45,240 --> 00:23:48,920 Speaker 3: aspect of it, but just be cautious that if you're 493 00:23:49,000 --> 00:23:52,879 Speaker 3: learning something that AI can do, then why does it 494 00:23:52,960 --> 00:23:56,160 Speaker 3: need you. Mark Cuban goes on to say, there's nothing 495 00:23:56,200 --> 00:23:58,639 Speaker 3: I don't consider using it for it. So how is 496 00:23:58,680 --> 00:24:02,000 Speaker 3: the How is the playing field being level? So instead 497 00:24:02,000 --> 00:24:05,760 Speaker 3: of in the real world, instead of competing against one 498 00:24:05,840 --> 00:24:09,160 Speaker 3: hundred other qualified applicants, now you have to compete against 499 00:24:09,160 --> 00:24:11,680 Speaker 3: one hundred other qualified applicants for that job and one 500 00:24:11,720 --> 00:24:14,520 Speaker 3: applicant who will work twenty four to seven at a 501 00:24:14,520 --> 00:24:17,359 Speaker 3: fraction to the cost and no office drama. So how 502 00:24:17,440 --> 00:24:21,000 Speaker 3: is that better for the other one hundred people. Sure, 503 00:24:21,440 --> 00:24:23,280 Speaker 3: you may be on the same playing field now as 504 00:24:23,280 --> 00:24:28,159 Speaker 3: the other one hundred, but there's one number one on 505 00:24:28,280 --> 00:24:34,440 Speaker 3: one the AI outshines all of you in those fields. 506 00:24:34,920 --> 00:24:36,280 Speaker 3: They asked him about whether or not we're in the 507 00:24:36,320 --> 00:24:39,160 Speaker 3: AI bubble and is it comparable to the Internet bubble, 508 00:24:39,160 --> 00:24:41,359 Speaker 3: and he says no, The difference is the improvement of 509 00:24:41,359 --> 00:24:44,400 Speaker 3: technology basically slowed to a trickle. Talking about AI, he said, 510 00:24:44,400 --> 00:24:46,879 Speaker 3: we're nowhere near the improvement of technology slowing to a 511 00:24:46,920 --> 00:24:50,560 Speaker 3: trickle in AI. So it slowed when we talk about 512 00:24:50,600 --> 00:24:53,520 Speaker 3: the Internet. Excuse me, but it's not slowing when it 513 00:24:53,520 --> 00:24:56,720 Speaker 3: comes to AI. I guess I would argue that means 514 00:24:56,760 --> 00:25:01,120 Speaker 3: it's a bigger bubble when he uses it, and he says, 515 00:25:01,119 --> 00:25:02,959 Speaker 3: in terms of my health workouts, I use it all 516 00:25:03,040 --> 00:25:05,840 Speaker 3: day every day, just feeding in information and asking for 517 00:25:05,840 --> 00:25:08,320 Speaker 3: feedback because it builds up the memory and it starts 518 00:25:08,359 --> 00:25:10,680 Speaker 3: to know me the way people go to a doctor 519 00:25:10,680 --> 00:25:11,520 Speaker 3: for a second opinion. 520 00:25:11,560 --> 00:25:12,919 Speaker 2: I do the same thing with AI. 521 00:25:14,640 --> 00:25:16,960 Speaker 3: All right, So I guess I can trash my P 522 00:25:17,040 --> 00:25:20,080 Speaker 3: ninety x VHS tapes now because AI will not do 523 00:25:20,119 --> 00:25:20,520 Speaker 3: it for me. 524 00:25:22,200 --> 00:25:23,720 Speaker 2: Tony Horton and Billy Blanks. 525 00:25:23,400 --> 00:25:26,399 Speaker 3: Are out of luck. Sorry fellas. Ty Bow is so 526 00:25:27,080 --> 00:25:29,200 Speaker 3: last year. Now I've got. 527 00:25:30,640 --> 00:25:31,280 Speaker 2: Groc Bow. 528 00:25:33,040 --> 00:25:35,399 Speaker 3: There is controversy stirring in our own backyard when it 529 00:25:35,400 --> 00:25:37,679 Speaker 3: comes to AI, and Hollywood is not happy. 530 00:25:37,720 --> 00:25:39,520 Speaker 2: That's next. Chris Maryland from O Kelly Tonight. 531 00:25:39,520 --> 00:25:42,880 Speaker 1: You're listening to KFI AM six forty on demand. 532 00:25:43,440 --> 00:25:44,240 Speaker 2: I'm not Mo Kelly. 533 00:25:44,320 --> 00:25:47,640 Speaker 3: I'm Chris merril INFROMO Tonight KFI AM six forty more 534 00:25:47,680 --> 00:25:50,040 Speaker 3: stimulating talk. And remember you can always listen anytime on 535 00:25:50,080 --> 00:25:53,560 Speaker 3: demand of the iHeartRadio app. While you're on that app, 536 00:25:53,720 --> 00:25:56,879 Speaker 3: go ahead hit that talkback button. Our question tonight do 537 00:25:56,920 --> 00:26:01,560 Speaker 3: you use AI to cheat at work? But also do 538 00:26:01,600 --> 00:26:05,320 Speaker 3: you use it anywhere? And you guys have been great, Honestly, 539 00:26:05,640 --> 00:26:08,399 Speaker 3: I don't think we've had any bad we have any 540 00:26:08,440 --> 00:26:11,400 Speaker 3: bad calls tonight? Have we have all been really good? Insightful? 541 00:26:11,440 --> 00:26:12,919 Speaker 3: Even people that are like, no, I don't use it. 542 00:26:12,920 --> 00:26:15,399 Speaker 3: Here's why Others that are like I won't use it, 543 00:26:15,440 --> 00:26:19,800 Speaker 3: Here's why I love that you guys are great, You're dynamite. However, 544 00:26:20,160 --> 00:26:23,320 Speaker 3: there is a big to do bruin. You've probably heard 545 00:26:23,320 --> 00:26:26,399 Speaker 3: about this, Tilly Norwood. ABC News did a report on her. 546 00:26:26,480 --> 00:26:29,960 Speaker 13: Tilly Norwood is beautiful, she's cheap, and she always nails 547 00:26:29,960 --> 00:26:30,880 Speaker 13: it on the first take. 548 00:26:31,080 --> 00:26:32,280 Speaker 2: Yeah, she is smoking hot. 549 00:26:32,640 --> 00:26:34,000 Speaker 9: My teen's a binary. 550 00:26:34,240 --> 00:26:36,679 Speaker 13: But even though hollywood It's hottest new name may have 551 00:26:36,800 --> 00:26:40,840 Speaker 13: the IT factor, it's her AI factor that's drawing fire. 552 00:26:40,680 --> 00:26:44,000 Speaker 3: Cammons that are so great driven that they don't think 553 00:26:44,040 --> 00:26:45,000 Speaker 3: about consequence. 554 00:26:45,200 --> 00:26:48,120 Speaker 13: Actor fran Drusher just wrapped off a term as president 555 00:26:48,160 --> 00:26:51,720 Speaker 13: of SAGA, after the union that represents Hollywood actors. 556 00:26:51,520 --> 00:26:54,800 Speaker 2: And their radio hosts. 557 00:26:55,119 --> 00:26:57,480 Speaker 13: Norwood is definitely not an actor. 558 00:26:57,640 --> 00:27:01,000 Speaker 2: Tilly Norwood I generate it. 559 00:27:01,240 --> 00:27:04,040 Speaker 3: Also, the people that are doing this, that are introducing her, 560 00:27:04,240 --> 00:27:06,439 Speaker 3: they're all AI generated too. They don't tell you that, 561 00:27:06,680 --> 00:27:08,600 Speaker 3: but they're all AI generated. I can tell because I've 562 00:27:08,600 --> 00:27:11,600 Speaker 3: seen enough AI videos and they all have the same style, 563 00:27:11,720 --> 00:27:12,600 Speaker 3: same mannerisms. 564 00:27:12,800 --> 00:27:16,480 Speaker 13: She's an AI created character that Particle six Productions is 565 00:27:16,520 --> 00:27:18,639 Speaker 13: now pitching to studios. 566 00:27:18,240 --> 00:27:20,359 Speaker 9: Three seasons on the podcast. 567 00:27:20,680 --> 00:27:22,640 Speaker 2: Is this a threat to everyone? 568 00:27:22,680 --> 00:27:25,320 Speaker 7: It's a threat to writers, it's a threat to lawyers, 569 00:27:25,359 --> 00:27:27,080 Speaker 7: it's a threat to doctors. 570 00:27:27,160 --> 00:27:28,520 Speaker 1: I mean, yes, it's a threat. 571 00:27:28,800 --> 00:27:33,240 Speaker 13: Sagafter has been fighting for protections against AI for years now, 572 00:27:33,359 --> 00:27:37,399 Speaker 13: concerned that synthetic characters that don't require any kind of 573 00:27:37,720 --> 00:27:43,040 Speaker 13: human presence or voice will destroy the acting world. I 574 00:27:43,080 --> 00:27:46,720 Speaker 13: mean it will today, the Union wrote. Sagafter believes creativity 575 00:27:46,840 --> 00:27:50,240 Speaker 13: is and should remain human centered. The Union is opposed 576 00:27:50,280 --> 00:27:53,200 Speaker 13: to the replacement of human performers by synthetics. 577 00:27:53,640 --> 00:27:57,359 Speaker 3: Yeah, I agree, and I also don't want my job 578 00:27:57,400 --> 00:28:01,000 Speaker 3: to be replaced by AI. Now it couldn't do it, 579 00:28:01,560 --> 00:28:06,359 Speaker 3: but in the future, I don't know that it could. 580 00:28:05,160 --> 00:28:08,600 Speaker 3: And I'd like to think that even if it does 581 00:28:09,200 --> 00:28:14,119 Speaker 3: that you would know there's no real connection there, you know, 582 00:28:14,440 --> 00:28:17,480 Speaker 3: like you and I connect. I don't know that AI 583 00:28:17,520 --> 00:28:19,880 Speaker 3: would actually be able to connect with you. When you're 584 00:28:19,920 --> 00:28:22,840 Speaker 3: driving the car, you hear somebody that sounds real. We're 585 00:28:22,880 --> 00:28:24,320 Speaker 3: talking about things that matter to you. 586 00:28:24,440 --> 00:28:24,600 Speaker 2: Right. 587 00:28:24,640 --> 00:28:28,119 Speaker 3: It'll get better at picking topics, angles, all that kind 588 00:28:28,119 --> 00:28:30,760 Speaker 3: of stuff that we do. But in the back of 589 00:28:30,800 --> 00:28:32,600 Speaker 3: your mind, you're always going to know. I had a 590 00:28:32,640 --> 00:28:34,440 Speaker 3: friend argue with me about this. He goes, who cares? 591 00:28:34,480 --> 00:28:38,160 Speaker 3: This is overblown? Nobody got mad When Jessica Rabbit was 592 00:28:38,160 --> 00:28:42,800 Speaker 3: on the screen, and I thought, it actually took more 593 00:28:42,840 --> 00:28:45,760 Speaker 3: people to create Jessica Rabbit than it would have to 594 00:28:45,840 --> 00:28:48,520 Speaker 3: hire an actress to do that live, because you had 595 00:28:48,560 --> 00:28:50,520 Speaker 3: to have artists, you had to have voiceovers, you had 596 00:28:50,520 --> 00:28:52,160 Speaker 3: to have you know what I mean. You had to 597 00:28:52,160 --> 00:28:54,760 Speaker 3: have more people to create the animation than you did 598 00:28:54,920 --> 00:28:56,760 Speaker 3: to just have an actor play a part. 599 00:28:57,600 --> 00:28:59,520 Speaker 2: So I think some people just don't get it. 600 00:29:01,120 --> 00:29:05,920 Speaker 3: Speaking of Jessica Rabbit, Disney set a cease and desist 601 00:29:06,240 --> 00:29:07,640 Speaker 3: to one of the AI companies. 602 00:29:08,400 --> 00:29:09,000 Speaker 2: They set a. 603 00:29:08,880 --> 00:29:12,600 Speaker 3: CND to Character AI, demanding the personalized AI chatbot developer 604 00:29:12,600 --> 00:29:17,320 Speaker 3: immediately stop using copyrighted characters without authorization. Disney emphasizing its 605 00:29:17,360 --> 00:29:19,680 Speaker 3: main character its main concern, excuse me, isn't just financial, 606 00:29:19,680 --> 00:29:23,920 Speaker 3: but that Character AI's platform weaponizes Disney characters in a 607 00:29:23,920 --> 00:29:26,440 Speaker 3: way that could damage its brand long term. 608 00:29:27,920 --> 00:29:28,160 Speaker 2: Yeah. 609 00:29:28,200 --> 00:29:29,800 Speaker 3: This is one thing I'm concerned with too, is that 610 00:29:29,840 --> 00:29:33,080 Speaker 3: we seem to have this lasez faire attitude about copyrights 611 00:29:33,240 --> 00:29:35,240 Speaker 3: when it comes to training AI, and they're like, yeah, but. 612 00:29:35,200 --> 00:29:37,560 Speaker 2: It's it's for the benefit of all so it's okay, 613 00:29:37,960 --> 00:29:38,520 Speaker 2: Not really. 614 00:29:40,560 --> 00:29:42,720 Speaker 3: I mean, there's a reason that copyrights last as long 615 00:29:42,760 --> 00:29:44,960 Speaker 3: as they do. There's a reason that we just got 616 00:29:45,000 --> 00:29:47,040 Speaker 3: our winning the Pooh horror movie, and that is because 617 00:29:47,040 --> 00:29:49,800 Speaker 3: Disney was protecting that. But now all of a sudden, 618 00:29:49,800 --> 00:29:51,239 Speaker 3: we're gonna go yeah, but AI can do it if 619 00:29:51,240 --> 00:29:55,520 Speaker 3: it wants no not okay, So Disney said, the report 620 00:29:55,560 --> 00:29:58,280 Speaker 3: that they got from Parents Together Action and Heat initiative 621 00:29:58,280 --> 00:30:01,720 Speaker 3: found character AI chatbots engaged in grooming and sexual exploitation 622 00:30:02,400 --> 00:30:03,800 Speaker 3: and emotional manipulation. 623 00:30:04,680 --> 00:30:08,480 Speaker 2: That's not good. So they're obviously very worried about that. 624 00:30:09,720 --> 00:30:16,800 Speaker 3: As far as further developing video of AI characters, TikTok 625 00:30:17,000 --> 00:30:18,040 Speaker 3: has reason to be worried. 626 00:30:19,080 --> 00:30:19,960 Speaker 2: There's a new. 627 00:30:21,320 --> 00:30:26,680 Speaker 3: Call it a social media times suck app that is 628 00:30:26,800 --> 00:30:30,520 Speaker 3: AI generated. So all those videos that you see on TikTok, 629 00:30:30,600 --> 00:30:33,200 Speaker 3: now that people are making stupid dance videos and stuff 630 00:30:33,200 --> 00:30:33,440 Speaker 3: like that. 631 00:30:33,480 --> 00:30:35,840 Speaker 2: You're already starting to see some AI pop up. I am. 632 00:30:36,720 --> 00:30:38,440 Speaker 3: I have lots of videos I send to my friends 633 00:30:38,440 --> 00:30:43,080 Speaker 3: of dogs flipping them off. But evidently this new Sora 634 00:30:43,280 --> 00:30:45,440 Speaker 3: app that was just released by Open ai this week, 635 00:30:46,280 --> 00:30:48,320 Speaker 3: and Meta released one as well as part of their platform. 636 00:30:48,320 --> 00:30:51,400 Speaker 3: But remember Meta captures whatever you serf so they can 637 00:30:51,440 --> 00:30:55,520 Speaker 3: market to you. It's making AI generated videos and it's 638 00:30:55,520 --> 00:30:56,160 Speaker 3: putting them in. 639 00:30:56,120 --> 00:31:02,560 Speaker 2: A scrollable social media feed. 640 00:31:03,680 --> 00:31:05,520 Speaker 3: So the next time you want to sit on the 641 00:31:05,520 --> 00:31:09,400 Speaker 3: commode and watch your brain melt, it's all coming from AI. 642 00:31:11,280 --> 00:31:11,720 Speaker 2: Yeah. 643 00:31:11,920 --> 00:31:14,680 Speaker 3: Now, let me tell you, if all of a sudden, 644 00:31:14,680 --> 00:31:18,520 Speaker 3: the TikTok influencers start losing money, they're gonna start coming 645 00:31:18,560 --> 00:31:19,520 Speaker 3: out against AI too. 646 00:31:19,880 --> 00:31:21,080 Speaker 2: As soon as all of us. 647 00:31:21,000 --> 00:31:23,200 Speaker 3: Start losing money on things, we're gonna go this AI 648 00:31:23,360 --> 00:31:24,560 Speaker 3: is not working for us. 649 00:31:26,600 --> 00:31:28,720 Speaker 2: But will it already be too late? That's the question. 650 00:31:29,800 --> 00:31:31,800 Speaker 3: I do a show every Sunday evening, and I would 651 00:31:31,800 --> 00:31:33,960 Speaker 3: invite you to join us this week. It'll be right 652 00:31:34,000 --> 00:31:35,840 Speaker 3: after the Chargers game. I think we're on at five 653 00:31:36,000 --> 00:31:40,320 Speaker 3: thirty after the Chargers unless it goes into overtime. And 654 00:31:40,400 --> 00:31:42,640 Speaker 3: so we do at six o'clock every week, and i'd 655 00:31:42,640 --> 00:31:43,840 Speaker 3: like to I'd like to bring it back tonight. We 656 00:31:43,840 --> 00:31:47,040 Speaker 3: do a segment called There's No Business Like and it 657 00:31:47,480 --> 00:31:49,880 Speaker 3: largely show business focused. I think MO tends to focus 658 00:31:49,920 --> 00:31:52,880 Speaker 3: on entertainment type stories in the nine o'clock hour as well, 659 00:31:52,880 --> 00:31:56,160 Speaker 3: so we will. We'll do that too. There's No Business Like. 660 00:31:56,640 --> 00:31:58,840 Speaker 3: Next Chris merrill in from Okelly k If. I am 661 00:31:58,880 --> 00:32:01,200 Speaker 3: six forty. We're live everywhere, iHeartRadio. 662 00:32:00,680 --> 00:32:09,200 Speaker 1: App kf I A M six forty on demand m 663 00:32:09,400 --> 00:32:09,480 Speaker 1: HM