1 00:00:00,480 --> 00:00:03,920 Speaker 1: You're listening to KFI AM six forty on demand. 2 00:00:07,040 --> 00:00:08,720 Speaker 2: You work with somebody long enough, you start to know 3 00:00:08,760 --> 00:00:13,399 Speaker 2: what kind of sticks in their craw And with Mark, 4 00:00:13,480 --> 00:00:17,560 Speaker 2: I know it has everything to do with tech. That's 5 00:00:17,600 --> 00:00:19,759 Speaker 2: not to say that I think you're a luddite. I 6 00:00:19,800 --> 00:00:21,880 Speaker 2: don't think you're a luddite, because I think you embrace 7 00:00:21,920 --> 00:00:25,159 Speaker 2: things like streaming, and I think you embrace, you know, 8 00:00:25,280 --> 00:00:27,840 Speaker 2: word processors. You're not back there like writing out all 9 00:00:27,880 --> 00:00:30,240 Speaker 2: of your newscasts with a pen and paper. Right. 10 00:00:31,080 --> 00:00:34,080 Speaker 3: No, I don't have a butter churn. I don't live 11 00:00:34,120 --> 00:00:38,120 Speaker 3: by candle light. I believe in calculators. It's mainly the 12 00:00:38,200 --> 00:00:42,199 Speaker 3: things that threaten to destroy civilization and throw millions out 13 00:00:42,240 --> 00:00:44,000 Speaker 3: of work for no good reason that I'm against. 14 00:00:44,280 --> 00:00:48,080 Speaker 2: So that there are certain Luddite traits to what you're 15 00:00:48,080 --> 00:00:51,199 Speaker 2: saying right now. So the luddite, for those unfamiliar, the 16 00:00:51,240 --> 00:00:55,480 Speaker 2: lut eights were the people who oppose the loom back 17 00:00:55,480 --> 00:00:58,960 Speaker 2: in the seventeen hundreds. They thought they were textile workers 18 00:00:58,960 --> 00:01:01,040 Speaker 2: and they thought all their job are going to be replaced, 19 00:01:01,440 --> 00:01:03,440 Speaker 2: And what ended up happening is you can crank out 20 00:01:03,440 --> 00:01:07,480 Speaker 2: a lot of new clothes faster and more variety because 21 00:01:07,520 --> 00:01:10,120 Speaker 2: of the advancements in technology. But they were saying, oh 22 00:01:10,120 --> 00:01:14,800 Speaker 2: my gosh, the loom can do one loom can do 23 00:01:14,840 --> 00:01:17,640 Speaker 2: what so many of us can do, and it's going 24 00:01:17,720 --> 00:01:20,559 Speaker 2: to replace so many of us. It's the same thing 25 00:01:20,760 --> 00:01:23,040 Speaker 2: I remember when I was a kid. I don't know 26 00:01:23,080 --> 00:01:25,280 Speaker 2: if you ever watched the old Disney movies. Mark, I 27 00:01:25,280 --> 00:01:26,480 Speaker 2: know you love old movies. I don't know if you 28 00:01:26,480 --> 00:01:28,760 Speaker 2: ever watched the old Disney cartoons. I love them. And 29 00:01:29,400 --> 00:01:32,600 Speaker 2: growing up in the Upper Midwest, you know Babe in 30 00:01:32,640 --> 00:01:37,280 Speaker 2: the Big Blue Ox. They were Babe the Big Blue 31 00:01:37,280 --> 00:01:41,120 Speaker 2: Ox and Paul Bunyan, right, they were folk heroes, and 32 00:01:41,160 --> 00:01:42,760 Speaker 2: so we learned about them in school. But then there 33 00:01:42,800 --> 00:01:46,200 Speaker 2: was also this Disney film on Paul Bunyan as well, 34 00:01:46,840 --> 00:01:49,280 Speaker 2: and Paul Bunyan would I mean, he'd take his axe 35 00:01:49,280 --> 00:01:51,240 Speaker 2: and he'd cut these trees down faster than any man 36 00:01:51,280 --> 00:01:53,760 Speaker 2: had ever seen. And then along comes a slick little 37 00:01:53,800 --> 00:01:59,000 Speaker 2: weasel with a chainsaw, and sure enough, those chainsaws did 38 00:01:59,040 --> 00:02:04,120 Speaker 2: replace a lot of lumumberjacks. But then the lumberjacks found 39 00:02:04,120 --> 00:02:07,840 Speaker 2: different work, or they were able to take trees down 40 00:02:07,920 --> 00:02:10,440 Speaker 2: faster and process them more quickly, and we got lumber 41 00:02:10,520 --> 00:02:12,560 Speaker 2: cheaper in this sort of stuff. So there were advancements. 42 00:02:12,600 --> 00:02:15,880 Speaker 2: And every time there's been technological advancements, it's cost some 43 00:02:16,080 --> 00:02:21,120 Speaker 2: jobs along the way, but through retooling and reskilling, society 44 00:02:21,200 --> 00:02:24,080 Speaker 2: is advanced. And I know what your argument is. I 45 00:02:24,160 --> 00:02:27,040 Speaker 2: know what it is you're gonna say, right but it's 46 00:02:27,080 --> 00:02:32,799 Speaker 2: not AI, because AI is disrupting every single industry out 47 00:02:32,800 --> 00:02:37,600 Speaker 2: there and it could replace. According to MIT, AI can 48 00:02:37,720 --> 00:02:42,240 Speaker 2: right now replace nearly twelve percent of the US workforce. 49 00:02:43,040 --> 00:02:46,200 Speaker 2: That amounts to one point two trillion dollars in salaries. 50 00:02:47,600 --> 00:02:50,919 Speaker 2: That's a whole lot different than a chainsaw coming along 51 00:02:51,280 --> 00:02:57,120 Speaker 2: and impacting the lumber industry, or the plow coming along 52 00:02:57,240 --> 00:03:00,560 Speaker 2: and impacting the agriculture industry, or the loom coming along 53 00:03:00,680 --> 00:03:05,360 Speaker 2: and impacting the textile industry. We're talking about impacting every 54 00:03:05,520 --> 00:03:08,280 Speaker 2: single industry. Is there a piece of you And I'm 55 00:03:08,280 --> 00:03:11,560 Speaker 2: asking you to be honest now this is and I'm 56 00:03:11,720 --> 00:03:17,480 Speaker 2: curious whether or not you believe that AI is a 57 00:03:17,520 --> 00:03:22,960 Speaker 2: potential threat to humanity or do you have a bias 58 00:03:23,040 --> 00:03:26,040 Speaker 2: against it based on the pop culture that you have 59 00:03:26,320 --> 00:03:29,320 Speaker 2: absorbed throughout your lifetime. Because one was the last time 60 00:03:29,320 --> 00:03:34,120 Speaker 2: there was a film about the machines advancing where humans 61 00:03:34,120 --> 00:03:35,280 Speaker 2: were really great because of it. 62 00:03:35,320 --> 00:03:37,600 Speaker 3: Well, the people who write these things are the people 63 00:03:37,680 --> 00:03:40,320 Speaker 3: with the ability to think several steps ahead and carry 64 00:03:40,320 --> 00:03:43,520 Speaker 3: things out to their logical conclusion. These it's not. 65 00:03:43,840 --> 00:03:46,240 Speaker 2: Okay, but those are the popular ones too. Yeah right, 66 00:03:46,280 --> 00:03:48,360 Speaker 2: I mean Carl Sagan didn't say that AI was going 67 00:03:48,400 --> 00:03:49,680 Speaker 2: to destroy us all. I mean, he was all for 68 00:03:49,800 --> 00:03:51,640 Speaker 2: advancements in technology. 69 00:03:51,240 --> 00:03:55,120 Speaker 3: Well technology in general, sure, but how it's used is key. 70 00:03:55,320 --> 00:03:57,520 Speaker 3: I think, like I pointed out there two ago, there's 71 00:03:57,600 --> 00:03:59,920 Speaker 3: AI that we've seen that has been used to spot 72 00:04:00,200 --> 00:04:03,520 Speaker 3: breast cancer far earlier than than normal procedures have. 73 00:04:03,720 --> 00:04:04,520 Speaker 2: Yeah, that's good. 74 00:04:04,720 --> 00:04:08,000 Speaker 3: But the AI that just exists, and that can't exist 75 00:04:08,040 --> 00:04:11,440 Speaker 3: without stealing from other people their work and then putting 76 00:04:11,440 --> 00:04:13,680 Speaker 3: other people out a job for the sole reason of 77 00:04:13,720 --> 00:04:16,400 Speaker 3: making rich people richer who don't want to pay a 78 00:04:16,480 --> 00:04:19,520 Speaker 3: human enough to live on. I'm not okay with that, 79 00:04:19,600 --> 00:04:22,280 Speaker 3: and nobody should be. Yeah, I hear your argument there, 80 00:04:22,520 --> 00:04:27,360 Speaker 3: that's solid. One of the One of the the areas 81 00:04:27,400 --> 00:04:32,800 Speaker 3: where I'm the most concerned is older people talking about us. 82 00:04:33,720 --> 00:04:37,120 Speaker 2: We are slow out adoption. My wife has been using 83 00:04:37,120 --> 00:04:40,880 Speaker 2: AI to help write appeal letters and things like that. 84 00:04:41,120 --> 00:04:44,279 Speaker 2: For a while now, and she says, oh, it is 85 00:04:44,320 --> 00:04:47,360 Speaker 2: my best friend. It really, She says, it writes the letters. 86 00:04:47,440 --> 00:04:49,200 Speaker 2: I have to go through and kind of edit that. 87 00:04:49,279 --> 00:04:52,320 Speaker 2: But it you know, it saves me the time and 88 00:04:52,400 --> 00:04:55,440 Speaker 2: the bandwidth in her in her mind to have to 89 00:04:55,480 --> 00:04:57,800 Speaker 2: come up with these letters and write the appeals and 90 00:04:57,839 --> 00:05:00,240 Speaker 2: things like that to insurance companies. She says, it does 91 00:05:00,240 --> 00:05:01,600 Speaker 2: a lot of that for me. I just have to 92 00:05:01,680 --> 00:05:04,000 Speaker 2: kind of go in and tinker with it, edit it, 93 00:05:04,160 --> 00:05:06,440 Speaker 2: make it my own. Let me talk to your wife, 94 00:05:06,560 --> 00:05:10,000 Speaker 2: let me talk to her. Oh no, yes, no, you 95 00:05:10,040 --> 00:05:12,760 Speaker 2: want that. You want that. No, that's a very bad idea. 96 00:05:13,160 --> 00:05:14,720 Speaker 2: So she was like, oh, you should use it. You 97 00:05:14,720 --> 00:05:17,320 Speaker 2: should use it, And early on I was like, okay, 98 00:05:17,400 --> 00:05:20,560 Speaker 2: can you find and it did not work for me. 99 00:05:21,160 --> 00:05:23,440 Speaker 2: So of late though, it's gotten a lot better and 100 00:05:23,480 --> 00:05:25,520 Speaker 2: I've been able to use it to summarize stories, create 101 00:05:25,560 --> 00:05:29,039 Speaker 2: bullet points, and oftentimes we have summaries and things like 102 00:05:29,080 --> 00:05:31,920 Speaker 2: that that we use when we when we post our 103 00:05:32,000 --> 00:05:36,400 Speaker 2: digital content, videos, social media posts. That kind of stuff 104 00:05:36,720 --> 00:05:38,760 Speaker 2: saves me a lot of that kind of work. But 105 00:05:38,800 --> 00:05:41,400 Speaker 2: as far as knowing the material that's still on me, 106 00:05:41,600 --> 00:05:43,159 Speaker 2: I still have to know that I have to interpret it, 107 00:05:43,200 --> 00:05:45,279 Speaker 2: I have to put my own perspective and twist on it. Right, 108 00:05:45,360 --> 00:05:50,839 Speaker 2: that's still me. So I'm coming along slowly, is my point. 109 00:05:51,160 --> 00:05:53,920 Speaker 3: Well, okay, I see that, but we're seeing more and 110 00:05:54,000 --> 00:05:57,680 Speaker 3: more really alarming studies and information that shows that your 111 00:05:57,680 --> 00:06:00,360 Speaker 3: brain is a muscle just like your biceps, and if 112 00:06:00,360 --> 00:06:03,200 Speaker 3: you don't use them, they turned to tapioca fast. 113 00:06:03,440 --> 00:06:08,320 Speaker 2: Wholeheartedly agree. I wholeheartedly agree. I would make this argument, though. 114 00:06:08,480 --> 00:06:12,039 Speaker 2: Here's my pushback on that is that I can do 115 00:06:12,120 --> 00:06:14,560 Speaker 2: push ups, I can do sit ups, I can do calisthenics, 116 00:06:15,080 --> 00:06:16,120 Speaker 2: or I can go to the gym and I can 117 00:06:16,120 --> 00:06:19,920 Speaker 2: lift weights. The weights are not the problem, right, It's 118 00:06:19,960 --> 00:06:23,520 Speaker 2: how I'm using the weight. So in my mind, I'm 119 00:06:23,560 --> 00:06:26,520 Speaker 2: trying to use AI like a weight machine at the gym. 120 00:06:26,839 --> 00:06:30,480 Speaker 2: I'm not trying to use it to replace everything I'm doing. 121 00:06:30,600 --> 00:06:32,839 Speaker 2: I'm not trying to use it to replace jumping jacks 122 00:06:32,839 --> 00:06:34,200 Speaker 2: and push ups and sit ups, not that I ever 123 00:06:34,240 --> 00:06:36,080 Speaker 2: did those in the first place. I'm not trying to 124 00:06:36,120 --> 00:06:37,840 Speaker 2: use it to replace those other things. I'm trying to 125 00:06:37,920 --> 00:06:40,120 Speaker 2: use it to get more out of my workout. 126 00:06:40,240 --> 00:06:44,040 Speaker 3: Okay, Well, in this case, your analogy involves the machine 127 00:06:44,320 --> 00:06:48,360 Speaker 3: helping you actually lift the weight. It's your cheating one 128 00:06:48,360 --> 00:06:48,840 Speaker 3: way or the other. 129 00:06:48,880 --> 00:06:51,279 Speaker 2: Your cheat. No, no dead lifts. No, no, no, yeah, no, no 130 00:06:51,320 --> 00:06:54,240 Speaker 2: you're no, I'm not used. No you're no. No, no, no, no. 131 00:06:54,360 --> 00:06:55,800 Speaker 2: You haven't been to the gym in a while. I'll 132 00:06:55,800 --> 00:06:57,680 Speaker 2: take you to the gym. Oh okay, not that I've 133 00:06:57,680 --> 00:07:00,400 Speaker 2: been to the tim Good lord, if you saw me like, oh, 134 00:07:00,400 --> 00:07:02,599 Speaker 2: this guy doesn't even know how to spell gym. But 135 00:07:03,839 --> 00:07:07,880 Speaker 2: here's here's let me. Let me continue on though. This 136 00:07:07,960 --> 00:07:11,480 Speaker 2: is my biggest concern. Older generations. We've got experience, we've 137 00:07:11,520 --> 00:07:15,640 Speaker 2: got perspective, we've got knowledge that every industry needs. Right 138 00:07:15,680 --> 00:07:17,760 Speaker 2: and you're hearing about how AI is replacing a lot 139 00:07:17,760 --> 00:07:21,280 Speaker 2: of middle management white collar. One area where it's never 140 00:07:21,320 --> 00:07:24,080 Speaker 2: going to replace people the C suite because they're the 141 00:07:24,080 --> 00:07:26,760 Speaker 2: people in charge of deciding who gets replaced. And I 142 00:07:26,800 --> 00:07:28,720 Speaker 2: got to tell you AI is able to make the 143 00:07:28,760 --> 00:07:32,960 Speaker 2: decisions that that that upper management can make. AI absolutely 144 00:07:32,960 --> 00:07:35,480 Speaker 2: can replace an awful lot of people in met C suite. 145 00:07:35,520 --> 00:07:38,360 Speaker 2: The problem is we have to have somebody responsible with 146 00:07:38,480 --> 00:07:41,800 Speaker 2: skin in the game to put their names on those 147 00:07:41,880 --> 00:07:47,360 Speaker 2: those major decisions. Where I'm concerned is recent grads that 148 00:07:47,480 --> 00:07:51,440 Speaker 2: don't have experience. Upcoming grads are actually turning to AI, 149 00:07:51,560 --> 00:07:56,960 Speaker 2: and they're using AI majors. Even computer science oriented kids 150 00:07:57,680 --> 00:08:04,800 Speaker 2: are choosing to major in AI sciences, not large language models. 151 00:08:05,600 --> 00:08:09,120 Speaker 2: They're choosing basically to get under the hood of AI. 152 00:08:09,400 --> 00:08:10,960 Speaker 2: How do we advances, how do we code it, how 153 00:08:10,960 --> 00:08:12,400 Speaker 2: do we make it better? This sort of stuff. So 154 00:08:12,400 --> 00:08:15,160 Speaker 2: they're getting into that rather than computer sciences, the old 155 00:08:15,160 --> 00:08:20,440 Speaker 2: fashioned coding the other stuff. These two things are closely related, 156 00:08:20,440 --> 00:08:22,360 Speaker 2: but they're different majors. And so there are a number 157 00:08:22,400 --> 00:08:26,520 Speaker 2: of schools MIT UC San Diego, and if he was 158 00:08:26,600 --> 00:08:28,720 Speaker 2: a University of South Florida, I see has got a 159 00:08:28,760 --> 00:08:32,360 Speaker 2: college of Artificial Intelligence and cybersecurity, all of these things. Right, 160 00:08:32,720 --> 00:08:34,640 Speaker 2: So you're seeing a lot of these STEM kids that 161 00:08:34,679 --> 00:08:37,480 Speaker 2: are moving toward AI. But what have you just graduated? 162 00:08:37,640 --> 00:08:42,240 Speaker 2: What if we'res say a recent grad twenty four, twenty five, 163 00:08:42,320 --> 00:08:44,280 Speaker 2: twenty six years old, And in fact, I would say 164 00:08:44,280 --> 00:08:46,440 Speaker 2: anybody between twenty two and twenty eight, if you haven't 165 00:08:46,480 --> 00:08:49,480 Speaker 2: been using AI all along, how are you getting hired? 166 00:08:50,240 --> 00:08:52,280 Speaker 2: You don't have any job experience. You can't come to 167 00:08:52,320 --> 00:08:55,439 Speaker 2: the table and say, look, I can bring this bit 168 00:08:55,480 --> 00:08:58,640 Speaker 2: of experience. I can bring this perspective. I've done I've 169 00:08:58,679 --> 00:09:01,280 Speaker 2: done this job for the last five years. I know 170 00:09:01,360 --> 00:09:05,320 Speaker 2: how to communicate. I'm I'm reliable, I'm accountable. You know, 171 00:09:05,360 --> 00:09:09,120 Speaker 2: I've got a at least some modicum of track record 172 00:09:09,240 --> 00:09:12,840 Speaker 2: in the workforce. If you don't have any of the 173 00:09:12,840 --> 00:09:16,800 Speaker 2: AI experience and you don't have any track record, it 174 00:09:16,880 --> 00:09:20,560 Speaker 2: is a tough job market right now, which is why 175 00:09:20,600 --> 00:09:23,360 Speaker 2: we're seeing unemployment rates for people under twenty five up 176 00:09:23,400 --> 00:09:26,800 Speaker 2: over ten percent at this point, and I don't see 177 00:09:26,800 --> 00:09:29,959 Speaker 2: that coming down anytime soon. So to Mark's point, I 178 00:09:30,040 --> 00:09:31,680 Speaker 2: do think a lot of people are trying to replace 179 00:09:32,240 --> 00:09:37,400 Speaker 2: especially entry level, with the with the with the machines. Now, 180 00:09:37,400 --> 00:09:40,400 Speaker 2: what happens, and this is this is the irony. What 181 00:09:40,559 --> 00:09:45,200 Speaker 2: happens when that tech bubble bursts. What happens when it 182 00:09:45,240 --> 00:09:47,360 Speaker 2: bursts is companies look for places where they can save 183 00:09:47,400 --> 00:09:50,920 Speaker 2: money and then they turn to AI more. Oh my goodness, 184 00:09:50,920 --> 00:09:53,160 Speaker 2: the AI bubble burst. It's not everything that it was 185 00:09:53,200 --> 00:09:54,800 Speaker 2: all made out to me. And they're like, oh goodness, 186 00:09:54,800 --> 00:09:56,800 Speaker 2: we're all going broke. How do we make up for it? 187 00:09:56,840 --> 00:10:00,520 Speaker 2: I know, let's fire people, Well, what are we going 188 00:10:00,559 --> 00:10:02,840 Speaker 2: to replace them with? How about AI? It's a spiral, 189 00:10:02,880 --> 00:10:06,920 Speaker 2: a doom spiral. It is a doom spiral as far 190 00:10:07,040 --> 00:10:10,760 Speaker 2: as the muscle, as Mark was putting it. You've been 191 00:10:10,840 --> 00:10:13,400 Speaker 2: told that your phone was shrinking your brain. But not 192 00:10:13,640 --> 00:10:16,600 Speaker 2: everything is as it seems. Turns out one kid's rod 193 00:10:16,600 --> 00:10:19,080 Speaker 2: as another Gramma's vegetable or something like that. I don't know. 194 00:10:19,160 --> 00:10:21,079 Speaker 2: I should have had AI write this tease. I think 195 00:10:21,120 --> 00:10:24,520 Speaker 2: my screens are causing rapid cognitive decline. I'll get my 196 00:10:24,840 --> 00:10:27,320 Speaker 2: act together. It's next, Chris Meryl, I am six forty 197 00:10:27,320 --> 00:10:28,840 Speaker 2: live everywhere on the iHeart ready. 198 00:10:28,640 --> 00:10:32,679 Speaker 1: Wep, you're listening to KFI AM six forty on demand. 199 00:10:34,880 --> 00:10:36,960 Speaker 2: I just I can't agree with you on your your 200 00:10:37,040 --> 00:10:41,240 Speaker 2: AI hot. It's not that I disagree, that's and I'm 201 00:10:41,240 --> 00:10:43,400 Speaker 2: in a weird nuanced spot because I feel like you're 202 00:10:43,440 --> 00:10:45,880 Speaker 2: just anything AI is bad. Although you did say AI 203 00:10:45,920 --> 00:10:48,040 Speaker 2: has been helpful when it comes to medical diagnoses, and 204 00:10:48,080 --> 00:10:50,240 Speaker 2: that's good. Yeah, you've just learned about it taking over 205 00:10:51,080 --> 00:10:55,199 Speaker 2: all jobs, eliminiting everything, and then dividing wealth even further 206 00:10:55,240 --> 00:10:56,360 Speaker 2: between the haves and the have nots. 207 00:10:56,440 --> 00:10:58,560 Speaker 3: Well, we have to be able to distinguish between real 208 00:10:58,600 --> 00:11:01,720 Speaker 3: progress and just malevolent and greed and there's always going 209 00:11:01,800 --> 00:11:04,160 Speaker 3: to be like the John Henry versus the steam engine 210 00:11:04,200 --> 00:11:09,920 Speaker 3: thing or whale oil lamps being replaced by electricity. That's inevitable. 211 00:11:10,200 --> 00:11:12,040 Speaker 3: But you have to look at what's being used and 212 00:11:12,120 --> 00:11:14,160 Speaker 3: why to make those kind of judgments. 213 00:11:14,640 --> 00:11:18,760 Speaker 2: But in every case, isn't that an example of capitalism 214 00:11:18,760 --> 00:11:22,640 Speaker 2: pushing society forward for better or for worse? 215 00:11:23,400 --> 00:11:25,520 Speaker 3: I think that you, you know, if you're in the 216 00:11:25,600 --> 00:11:27,600 Speaker 3: nuanced zone, you got to be able to separate between 217 00:11:27,640 --> 00:11:30,880 Speaker 3: capitalism and just plain old stupid greed. 218 00:11:31,080 --> 00:11:37,319 Speaker 2: That's destructive. Okay, all right, what if it makes us 219 00:11:37,800 --> 00:11:42,120 Speaker 2: keep our brains? Get this? You know that you keep 220 00:11:42,160 --> 00:11:44,840 Speaker 2: hearing a story after story about the youngins and how 221 00:11:46,360 --> 00:11:49,400 Speaker 2: the cell phones are rotting their brains. In fact, I 222 00:11:49,400 --> 00:11:52,200 Speaker 2: was reading NBCLA had the story today. A short short 223 00:11:52,240 --> 00:11:54,920 Speaker 2: form video is now dominant on social media. Researchers are 224 00:11:55,000 --> 00:11:58,480 Speaker 2: racing to understand how the highly engaging, algorithm driven format 225 00:11:58,520 --> 00:12:04,400 Speaker 2: may bee reshaping the brain. Basically, it's making us dumber. Yeah, yeah, 226 00:12:04,440 --> 00:12:12,320 Speaker 2: So widespread concerns over brain rod the supposed deterioration of 227 00:12:12,360 --> 00:12:15,839 Speaker 2: a person's mental or intellectual state based on I guess 228 00:12:15,880 --> 00:12:19,640 Speaker 2: just endless scrolling. And so there's been more and more 229 00:12:19,640 --> 00:12:23,400 Speaker 2: studies and the studies I was reading a really good 230 00:12:23,520 --> 00:12:26,439 Speaker 2: analysis and it says, basically, the studies we have are 231 00:12:26,480 --> 00:12:31,840 Speaker 2: too limited. They're not broad, long lasting, widespread, this kind 232 00:12:31,880 --> 00:12:35,840 Speaker 2: of thing. But we're getting there because you've got the 233 00:12:35,840 --> 00:12:37,600 Speaker 2: tiktoks that have been around for a few years now. 234 00:12:37,640 --> 00:12:39,800 Speaker 2: Now you can put studies together and start taking a 235 00:12:39,840 --> 00:12:43,360 Speaker 2: look at these things. However, an interesting story that I 236 00:12:43,400 --> 00:12:47,319 Speaker 2: was reading that was an argument to the contrary from 237 00:12:47,360 --> 00:12:50,840 Speaker 2: the Washington Post. A meta analysis covering fifty seven studies 238 00:12:50,840 --> 00:12:54,240 Speaker 2: with more than four hundred thousand participants averaging age sixty 239 00:12:54,320 --> 00:12:59,040 Speaker 2: nine found consistent I know. I wish it too. I 240 00:12:59,120 --> 00:13:06,599 Speaker 2: wish they won't. I wish they were aged six to seven. Whoa, 241 00:13:07,720 --> 00:13:09,560 Speaker 2: I wish you could see I was doing the whole Look, 242 00:13:09,600 --> 00:13:11,880 Speaker 2: I'm juggling invisible balls thing in my hand. I could 243 00:13:11,920 --> 00:13:17,000 Speaker 2: picture it. I'm sixty seven six seven. Anyway, It found 244 00:13:17,000 --> 00:13:22,360 Speaker 2: consistent links between yeah, I'm dumber two you've been on 245 00:13:22,400 --> 00:13:25,440 Speaker 2: the talk. Definitely a lot of brain rot happening here. 246 00:13:25,640 --> 00:13:29,240 Speaker 2: It found consistent links between digital device engagement and slower 247 00:13:29,320 --> 00:13:32,360 Speaker 2: cognitive decline. They call it the three seas complexity connection 248 00:13:32,440 --> 00:13:36,560 Speaker 2: and compensation complexity learning and adapting to new tech connection 249 00:13:37,000 --> 00:13:40,600 Speaker 2: social interaction via the devices. In other words, you're able 250 00:13:40,640 --> 00:13:43,880 Speaker 2: to send your grandkids messages. I guess on Facebook and 251 00:13:44,000 --> 00:13:49,359 Speaker 2: compensation using tech to scaffold memory and navigation. The engagement 252 00:13:49,440 --> 00:13:53,280 Speaker 2: in and of itself exercises the brain. And I think 253 00:13:54,640 --> 00:13:58,800 Speaker 2: our own intrepid newsman a complete pro mark ronner earlier there, 254 00:13:58,840 --> 00:14:01,480 Speaker 2: you got it earlier that the brain is a muscle 255 00:14:01,520 --> 00:14:04,400 Speaker 2: that has to be exercised. And indeed, if you use 256 00:14:04,800 --> 00:14:07,719 Speaker 2: technology correctly, it's exactly what you can do. 257 00:14:08,240 --> 00:14:10,440 Speaker 3: This is right, and you go ahead. You can use 258 00:14:10,440 --> 00:14:12,480 Speaker 3: it one way to achieve that, and you can use 259 00:14:12,520 --> 00:14:15,040 Speaker 3: it another way to lose your critical thinking skills and 260 00:14:15,080 --> 00:14:17,280 Speaker 3: your attention span. And you've got to be a careful 261 00:14:17,320 --> 00:14:21,360 Speaker 3: consumer to know the difference. I agree that takes brain 262 00:14:21,440 --> 00:14:24,240 Speaker 3: power above and beyond what I think most of us have, 263 00:14:25,640 --> 00:14:28,720 Speaker 3: or it takes discipline above and beyond what most of 264 00:14:28,800 --> 00:14:31,720 Speaker 3: us have. Researchers caution it doesn't mean that more screen 265 00:14:31,760 --> 00:14:35,680 Speaker 3: time equals better brain health. They say passive youth use 266 00:14:36,040 --> 00:14:41,160 Speaker 3: heavy media multitasking or distraction filled browsing like scrolling the 267 00:14:41,240 --> 00:14:45,000 Speaker 3: videos on TikTok, may carry the risk of brain rot. 268 00:14:46,000 --> 00:14:48,720 Speaker 3: Most of the research focusing on older adults. However, they 269 00:14:48,720 --> 00:14:53,080 Speaker 3: talk about broader implication of digital habits and how you 270 00:14:53,120 --> 00:14:57,000 Speaker 3: engage could shape your cognitive future as well if you're young. 271 00:14:57,720 --> 00:15:01,080 Speaker 2: So here's the concern. How do and how do we 272 00:15:01,200 --> 00:15:05,640 Speaker 2: teach and then instill the sort of habits maintain that 273 00:15:05,760 --> 00:15:09,600 Speaker 2: discipline in the younger generations who have the higher potential 274 00:15:09,920 --> 00:15:11,000 Speaker 2: for greater brain. 275 00:15:10,800 --> 00:15:16,800 Speaker 3: Rotr corporal punishment. Okay, all right, Well the problem is, 276 00:15:16,840 --> 00:15:18,880 Speaker 3: if you don't mind me budting in here, is that 277 00:15:19,400 --> 00:15:20,960 Speaker 3: I just paid the same You talk as much as 278 00:15:20,960 --> 00:15:22,560 Speaker 3: you want. Oh, okay, this is all I'm going to say, 279 00:15:22,640 --> 00:15:25,280 Speaker 3: and then it's all you. Uh, just the same way 280 00:15:25,320 --> 00:15:28,680 Speaker 3: that junk food like Dorito's is engineered to suppress your 281 00:15:28,720 --> 00:15:32,800 Speaker 3: fullness impulse and make you crave them. Yeah, it's the 282 00:15:32,800 --> 00:15:35,120 Speaker 3: same with social media, and so you really have to 283 00:15:35,160 --> 00:15:39,200 Speaker 3: discipline yourself because there's nothing easier than just chain watching 284 00:15:39,240 --> 00:15:40,720 Speaker 3: these short videos. 285 00:15:40,520 --> 00:15:42,280 Speaker 2: Right, and they feed you the same Dorito's. I mean, 286 00:15:42,320 --> 00:15:44,520 Speaker 2: the algorithm knows do you like Dorito's or Friedo's or 287 00:15:44,560 --> 00:15:47,440 Speaker 2: Cheetos and in my case all three? Yeah, yeah, I 288 00:15:47,480 --> 00:15:49,920 Speaker 2: wholeheartedly agree with you. But how do we teach younger 289 00:15:49,920 --> 00:15:53,360 Speaker 2: generations that that's the game. How do we teach them 290 00:15:53,400 --> 00:15:56,920 Speaker 2: that they are unknowingly playing a game and that they 291 00:15:56,960 --> 00:16:02,200 Speaker 2: are unknowingly the product. And I don't know, because as 292 00:16:02,240 --> 00:16:04,840 Speaker 2: long as they're getting their little dopamine hits, I don't 293 00:16:04,880 --> 00:16:10,400 Speaker 2: know that they care. Yeah, I mean we're still early. 294 00:16:10,480 --> 00:16:13,560 Speaker 2: We're still early in the learning curve, and I'm afraid 295 00:16:13,640 --> 00:16:15,440 Speaker 2: that we're going to be too far down the line 296 00:16:15,480 --> 00:16:18,240 Speaker 2: to do anything once we figure this out. I'm just 297 00:16:18,280 --> 00:16:20,480 Speaker 2: glad that we're not having as many kids. I mean, 298 00:16:20,480 --> 00:16:23,160 Speaker 2: it's really the benefit to society that we have fewer kids. 299 00:16:23,160 --> 00:16:27,560 Speaker 2: That means we have fewer dumb kids. Yep, that's called logic, 300 00:16:27,680 --> 00:16:31,160 Speaker 2: my friends. It was impressive. Yep, you're welcome. Hey, you 301 00:16:31,200 --> 00:16:33,560 Speaker 2: thought robot vacs were the cutting edge back in the day, 302 00:16:33,560 --> 00:16:35,320 Speaker 2: but now you've got a machine that can make itself 303 00:16:35,320 --> 00:16:38,480 Speaker 2: a latte. You don't even know, machines like lattes. What 304 00:16:38,480 --> 00:16:41,080 Speaker 2: that means for your future of the household is next. 305 00:16:41,160 --> 00:16:44,040 Speaker 2: And I'm Chris merrilf I AM six forty live everywhere 306 00:16:44,040 --> 00:16:45,120 Speaker 2: in the iHeartRadio app. 307 00:16:45,520 --> 00:16:48,960 Speaker 1: You're listening to KFI AM six forty on demand. 308 00:16:50,640 --> 00:16:55,120 Speaker 2: Okay, as much as we've been conversing about AI advancements 309 00:16:55,120 --> 00:16:59,280 Speaker 2: in technology, the threats that they may pose one of 310 00:16:59,280 --> 00:17:01,640 Speaker 2: my biggest complaints. And I don't want to be somebody 311 00:17:01,640 --> 00:17:03,400 Speaker 2: that just complains all the time about it, because I'm 312 00:17:03,400 --> 00:17:06,280 Speaker 2: actually excited about the advances and technology that is with 313 00:17:06,359 --> 00:17:09,360 Speaker 2: the caveat that I think we should exercise caution, as 314 00:17:09,359 --> 00:17:14,199 Speaker 2: we've discussed on the program tonight. One of my biggest complaints, however, 315 00:17:14,760 --> 00:17:17,840 Speaker 2: is that it feels an awful lot like the technology advancements, 316 00:17:17,840 --> 00:17:25,800 Speaker 2: and understandably so, are geared toward a business enterprise. Commercial enterprises, 317 00:17:26,560 --> 00:17:31,360 Speaker 2: not consumer use most of the technological advances that we're 318 00:17:31,400 --> 00:17:34,280 Speaker 2: seeing right now when we talk about AI, the end 319 00:17:34,440 --> 00:17:39,520 Speaker 2: user is the business. That's where they see the opportunity 320 00:17:39,560 --> 00:17:42,920 Speaker 2: for monetization. And so why are they going to make 321 00:17:42,960 --> 00:17:46,320 Speaker 2: something for you and me when ultimately they could make 322 00:17:46,359 --> 00:17:48,720 Speaker 2: something for a company that's going to buy a subscription 323 00:17:48,880 --> 00:17:51,040 Speaker 2: that's going to be two hundred and fifty dollars a month, 324 00:17:51,040 --> 00:17:52,760 Speaker 2: whereas you and I might pay ten bucks a month 325 00:17:52,840 --> 00:17:55,080 Speaker 2: or something. Right, it takes an awful lot of us 326 00:17:55,200 --> 00:17:59,920 Speaker 2: versus the company. Okay, so it makes sense, you get 327 00:18:00,000 --> 00:18:02,959 Speaker 2: at it, you understand why they do that, and then 328 00:18:03,000 --> 00:18:05,760 Speaker 2: at some point saturation hits and then it trickles down 329 00:18:05,800 --> 00:18:07,239 Speaker 2: to the rest of us. And the same thing has 330 00:18:07,280 --> 00:18:10,800 Speaker 2: happened throughout other technologies as well. Cell Phones came along 331 00:18:10,800 --> 00:18:13,399 Speaker 2: and those were being marketed. They were more expensive, but 332 00:18:13,520 --> 00:18:17,520 Speaker 2: by god, your business needs this cell phone, right, Your 333 00:18:17,600 --> 00:18:19,840 Speaker 2: business needs to have some sort of a mass cell 334 00:18:19,880 --> 00:18:21,879 Speaker 2: phone plan by all the minutes you can so that 335 00:18:21,920 --> 00:18:24,480 Speaker 2: your execs are never out of reach. Right. That's how 336 00:18:24,480 --> 00:18:27,800 Speaker 2: the cell phones were marketed. And then once there was saturation, 337 00:18:28,040 --> 00:18:30,679 Speaker 2: prices started to come down. Infrastructure was built, and then 338 00:18:30,720 --> 00:18:33,080 Speaker 2: it started getting marketed to you and me, and then 339 00:18:33,119 --> 00:18:35,760 Speaker 2: we saw it. We saw it boom all over the place. 340 00:18:35,760 --> 00:18:39,879 Speaker 2: But it always starts where there's the most money. Right. 341 00:18:40,000 --> 00:18:41,760 Speaker 2: Why do you rob a bank because that's where the 342 00:18:41,760 --> 00:18:44,679 Speaker 2: money is. Right. So when you start a business, you 343 00:18:44,720 --> 00:18:46,479 Speaker 2: go for the place where you think there's going to 344 00:18:46,480 --> 00:18:53,560 Speaker 2: be the most market available, most money available in that market. 345 00:18:53,600 --> 00:18:55,679 Speaker 2: Who's your target? Your target is always where there's the 346 00:18:55,680 --> 00:18:59,400 Speaker 2: most money. Most of us don't think that way. Most 347 00:18:59,440 --> 00:19:02,800 Speaker 2: of us think based on our own lives, our own perspective, 348 00:19:03,359 --> 00:19:06,840 Speaker 2: and our own perspective is this. It is that necessity 349 00:19:06,960 --> 00:19:10,399 Speaker 2: is the mother of invention. In other words, I need 350 00:19:10,480 --> 00:19:14,719 Speaker 2: something to make my life easier. How can I invent 351 00:19:14,800 --> 00:19:17,600 Speaker 2: this thing? Because if I need it, surely other people 352 00:19:17,640 --> 00:19:19,760 Speaker 2: will need this thing to make their lives easier, and 353 00:19:19,800 --> 00:19:23,320 Speaker 2: I can market it to other people. We don't think 354 00:19:23,720 --> 00:19:26,359 Speaker 2: like corporations, thinking how do I create something that's going 355 00:19:26,400 --> 00:19:28,160 Speaker 2: to make me a lot of money? We think, how 356 00:19:28,160 --> 00:19:30,840 Speaker 2: do I create something that is going to be useful 357 00:19:30,880 --> 00:19:33,000 Speaker 2: to the most amount of people and in turn will 358 00:19:33,000 --> 00:19:34,800 Speaker 2: make me a lot of money. That's how we think, 359 00:19:35,160 --> 00:19:39,480 Speaker 2: So most of us think because that's our perspective. So 360 00:19:39,520 --> 00:19:41,640 Speaker 2: my complaint with most technology right now is that it's 361 00:19:41,640 --> 00:19:43,800 Speaker 2: not geared toward you and I the consumer as the 362 00:19:43,880 --> 00:19:48,719 Speaker 2: end user until now, and it's about time they use 363 00:19:48,800 --> 00:19:53,360 Speaker 2: tech for something useful. Was reading a story from Wired 364 00:19:54,520 --> 00:19:58,000 Speaker 2: about a new robot that will clear your table, load 365 00:19:58,000 --> 00:20:00,719 Speaker 2: the dishwasher all by itself, even make a La te 366 00:20:02,119 --> 00:20:07,960 Speaker 2: memo the world's fastest barista. No, it's not the world's 367 00:20:07,960 --> 00:20:11,960 Speaker 2: fastest barrista, but they say it is impressive for a robot. 368 00:20:12,359 --> 00:20:14,680 Speaker 2: It moves around using a wheeled platform, changes its height 369 00:20:14,720 --> 00:20:17,640 Speaker 2: by sliding up and down a central column atop that platform, 370 00:20:17,960 --> 00:20:20,240 Speaker 2: and the robot responded to a request for an espresso 371 00:20:20,240 --> 00:20:23,040 Speaker 2: by rolling over to a countertop, then using two pincer 372 00:20:23,200 --> 00:20:26,359 Speaker 2: like hands to slowly go through each step required to 373 00:20:26,400 --> 00:20:30,520 Speaker 2: operate an espresso machine. Filter the porta filter, coffee grounds, 374 00:20:30,600 --> 00:20:32,760 Speaker 2: tamp them down, slotted a port a filter into place, 375 00:20:32,800 --> 00:20:35,800 Speaker 2: put a coffee cup below, press the buttons needed to 376 00:20:35,800 --> 00:20:38,960 Speaker 2: start the machine, and then it finally retrieved the hot drink. Boom. 377 00:20:39,280 --> 00:20:44,160 Speaker 2: The robot is finally doing something for us. It's about 378 00:20:44,160 --> 00:20:46,359 Speaker 2: time when we talk about robotics, we start getting ourselves 379 00:20:46,400 --> 00:20:51,159 Speaker 2: our own little Jetson's Rosie. About daggum time. Then I 380 00:20:51,200 --> 00:20:57,400 Speaker 2: was looking at another one Neo Hello Neo. The Neo 381 00:20:57,480 --> 00:20:59,840 Speaker 2: robot Sina had a story about. 382 00:21:00,880 --> 00:21:03,160 Speaker 4: Neo stands at five foot six inches and weighs only 383 00:21:03,200 --> 00:21:06,240 Speaker 4: sixty six pounds. Its joints are covered in padding to 384 00:21:06,280 --> 00:21:10,360 Speaker 4: protect from accidental run ins or pinching, and soft washable clothing. 385 00:21:10,720 --> 00:21:12,520 Speaker 4: One X says it can lift one hundred and fifty 386 00:21:12,560 --> 00:21:15,399 Speaker 4: four pounds and carry fifty five pounds. It comes in 387 00:21:15,440 --> 00:21:18,560 Speaker 4: three colors, can connect itself to a charger, and has 388 00:21:18,640 --> 00:21:21,480 Speaker 4: light rings on each side which visually communicate things like 389 00:21:21,520 --> 00:21:24,359 Speaker 4: its state of charge and whether it's being teleoperated. 390 00:21:24,840 --> 00:21:29,000 Speaker 2: Yeah. Basically, the rings look like like an Amazon echo 391 00:21:29,080 --> 00:21:30,840 Speaker 2: when it's listening and it starts kind of lights up 392 00:21:30,920 --> 00:21:31,240 Speaker 2: or whatever. 393 00:21:31,400 --> 00:21:34,199 Speaker 4: The robot's hands are waterproof, good for doing the dishes, 394 00:21:34,520 --> 00:21:36,040 Speaker 4: but the rest of the robot. 395 00:21:35,760 --> 00:21:37,359 Speaker 2: Is not bad for lifeguards. 396 00:21:37,600 --> 00:21:39,800 Speaker 4: One exit stated goal is to produce a robot that 397 00:21:39,840 --> 00:21:42,879 Speaker 4: can autonomously perform a variety of household chores and be 398 00:21:42,920 --> 00:21:46,440 Speaker 4: controlled by simple voice command. However, it's important to understand 399 00:21:46,640 --> 00:21:49,400 Speaker 4: the robot is not there yet. The only two tasks 400 00:21:49,440 --> 00:21:52,920 Speaker 4: one X showed Neo accomplishing autonomously in a pre order announcement. 401 00:21:53,000 --> 00:21:55,560 Speaker 4: We're opening the door and putting away dishes. 402 00:21:56,200 --> 00:21:59,480 Speaker 2: Okay, there you go, So you can have a robot. 403 00:22:00,080 --> 00:22:02,240 Speaker 2: It looks like a droid. It's got arms and legs, 404 00:22:02,480 --> 00:22:06,920 Speaker 2: right hands. They basically made it humanoid, and it will 405 00:22:06,920 --> 00:22:08,800 Speaker 2: open a door and put away the dishes. And for 406 00:22:08,880 --> 00:22:13,760 Speaker 2: the low low price of twenty thousand dollars. And you 407 00:22:13,800 --> 00:22:15,680 Speaker 2: also have to give control over to someone else who's 408 00:22:15,680 --> 00:22:22,080 Speaker 2: going to operate it remotely. It could be yours. All right, 409 00:22:22,119 --> 00:22:25,800 Speaker 2: we are not quite ready for prime time, And forgive 410 00:22:25,840 --> 00:22:30,119 Speaker 2: me because my imagination runs a little bit wild. But 411 00:22:30,240 --> 00:22:35,639 Speaker 2: are we the Are we the best examples? If you 412 00:22:35,680 --> 00:22:39,520 Speaker 2: were to build. Imagine you're a robotics expert, but you're 413 00:22:39,560 --> 00:22:43,879 Speaker 2: also basically playing god because you are creating a being 414 00:22:43,960 --> 00:22:48,080 Speaker 2: from scratch. Is the whole two arms, two legs thing 415 00:22:48,280 --> 00:22:53,840 Speaker 2: the best way to go? When I think of when 416 00:22:53,880 --> 00:22:57,439 Speaker 2: I think of Iron Man, right, I think of the suit, 417 00:22:58,000 --> 00:22:59,440 Speaker 2: and the suit has the arms and the legs and 418 00:22:59,440 --> 00:23:01,480 Speaker 2: all that stuff. But the suit can also fly. It's 419 00:23:01,520 --> 00:23:03,920 Speaker 2: got to jet packs and its palms, and it can 420 00:23:03,960 --> 00:23:07,840 Speaker 2: turn its its feet into roller skates. Right. What I 421 00:23:08,080 --> 00:23:12,120 Speaker 2: think of sci fi and using the imagination that we've 422 00:23:12,160 --> 00:23:14,080 Speaker 2: seen from all those great sci fi writers and the 423 00:23:14,280 --> 00:23:17,560 Speaker 2: the in the movie makers and everyone else. I don't 424 00:23:17,600 --> 00:23:23,080 Speaker 2: know that the human body is the best idea. I mean, 425 00:23:23,119 --> 00:23:26,560 Speaker 2: I understand this where we've evolved throughout time, but is 426 00:23:26,600 --> 00:23:29,200 Speaker 2: that the best we've evolved to where we are because 427 00:23:29,200 --> 00:23:33,840 Speaker 2: we have certain limitations. To the best of my knowledge, 428 00:23:33,880 --> 00:23:36,639 Speaker 2: there is no animal that has bones that are wheels 429 00:23:36,920 --> 00:23:39,920 Speaker 2: on some sort of a h on some sort of 430 00:23:40,320 --> 00:23:43,439 Speaker 2: a joint that operates like a bearing. Right, that doesn't happen, 431 00:23:44,880 --> 00:23:47,160 Speaker 2: but that'd be pretty cool. And what if you had 432 00:23:47,160 --> 00:23:50,119 Speaker 2: wheels for feet? Why don't we do that with robots? 433 00:23:50,119 --> 00:23:52,600 Speaker 2: Why are we trying to make robots look like humans, 434 00:23:52,960 --> 00:23:55,320 Speaker 2: and I think it has to do with marketing. I 435 00:23:55,320 --> 00:23:58,040 Speaker 2: think it's because we're more likely to adopt something that 436 00:23:58,080 --> 00:24:02,240 Speaker 2: we can answer Morphis, well, you can go. Oh, I 437 00:24:02,359 --> 00:24:04,840 Speaker 2: relate to that. It looks like it looks like something 438 00:24:04,840 --> 00:24:05,640 Speaker 2: I'm familiar with. 439 00:24:05,840 --> 00:24:07,919 Speaker 3: Have you seen the robots that are pretty much in 440 00:24:07,920 --> 00:24:08,840 Speaker 3: the shape of dogs. 441 00:24:10,080 --> 00:24:12,520 Speaker 2: Yeah, Boston Robotics has the ones that they go into, 442 00:24:12,520 --> 00:24:14,760 Speaker 2: like the bomb sniffing robots. They're terrifying. 443 00:24:14,800 --> 00:24:17,640 Speaker 3: And there was a Black Mirror episode that utilized them 444 00:24:17,680 --> 00:24:18,160 Speaker 3: as well. 445 00:24:18,280 --> 00:24:18,960 Speaker 2: Oh is that right? 446 00:24:19,000 --> 00:24:21,520 Speaker 3: And you can attach guns to them and all sorts 447 00:24:21,520 --> 00:24:25,000 Speaker 3: of stuff. No want, no point, No, you don't want those? 448 00:24:25,160 --> 00:24:25,959 Speaker 3: Are you kidding them? 449 00:24:27,240 --> 00:24:29,639 Speaker 2: I think the four legged ones are actually more useful 450 00:24:29,680 --> 00:24:31,920 Speaker 2: than these droids that they're trying to make balance like humans. 451 00:24:33,000 --> 00:24:35,560 Speaker 2: I mean, as far as usefulness goes, you don't want 452 00:24:35,600 --> 00:24:36,800 Speaker 2: one because you don't like it. 453 00:24:37,480 --> 00:24:39,560 Speaker 3: I'd rather have a real dog without a gun mounted 454 00:24:39,600 --> 00:24:42,680 Speaker 3: on it, if that's okay. Or or the Saint Bernard okay, 455 00:24:42,720 --> 00:24:44,879 Speaker 3: with the with the brandy and the little cask around 456 00:24:44,880 --> 00:24:45,320 Speaker 3: its neck. 457 00:24:45,400 --> 00:24:47,480 Speaker 2: Okay, they'll do that, Okay, But what if we could 458 00:24:47,480 --> 00:24:49,119 Speaker 2: combine the best of both worlds? We got have a 459 00:24:49,160 --> 00:24:51,239 Speaker 2: real dog that also had a gun mounted to it. 460 00:24:51,480 --> 00:24:53,000 Speaker 3: If we could take the gun out of the equation, 461 00:24:53,119 --> 00:24:57,080 Speaker 3: please don't really need it's such a piece, nick, I 462 00:24:57,119 --> 00:25:01,360 Speaker 3: don't need the dogs armed, all right, Listen, Lennon, forget you. 463 00:25:03,640 --> 00:25:06,320 Speaker 2: Well, you're the kind of guy that wouldn't want sharks 464 00:25:06,320 --> 00:25:09,199 Speaker 2: with laser beams. Huh. Well that's because I'm not a 465 00:25:09,200 --> 00:25:10,440 Speaker 2: complete pro like you. 466 00:25:10,720 --> 00:25:16,760 Speaker 5: Oh one to one now, oh man, oh man. All right, 467 00:25:18,520 --> 00:25:21,560 Speaker 5: I think I'm gonna do a quick switcher roo here, Matt, 468 00:25:21,560 --> 00:25:22,720 Speaker 5: I'm gonna do a little switcher roo. 469 00:25:22,720 --> 00:25:25,399 Speaker 2: I want to continue. I got one more. I've got 470 00:25:25,400 --> 00:25:26,960 Speaker 2: a couple of stories that sort of feed into the 471 00:25:27,040 --> 00:25:28,960 Speaker 2: entertainment segment that I want to do at nine o'clock, 472 00:25:28,960 --> 00:25:30,520 Speaker 2: and I think I'm gonna do it a little switcher roo. 473 00:25:30,560 --> 00:25:33,080 Speaker 2: I've got to I've got something about news coming up. 474 00:25:33,880 --> 00:25:35,960 Speaker 2: I'm gonna do this at nine twenty. But next, I'm 475 00:25:35,960 --> 00:25:40,359 Speaker 2: going to talk about how AI is stealing one job 476 00:25:41,280 --> 00:25:43,680 Speaker 2: and I gotta believe that even Mark Ronner doesn't hate 477 00:25:43,680 --> 00:25:46,160 Speaker 2: that these people are losing their gigs. That is next. 478 00:25:46,240 --> 00:25:50,280 Speaker 2: I'm Chris merril K. I am six forty Live everywhere 479 00:25:50,359 --> 00:25:51,680 Speaker 2: the iHeartRadio. 480 00:25:51,920 --> 00:25:55,760 Speaker 1: You're listening to KFI AM six forty on demand. 481 00:26:00,080 --> 00:26:04,960 Speaker 2: More stimulating talk on demand whenever on the iHeartRadio app. 482 00:26:05,000 --> 00:26:07,800 Speaker 2: But still to come. We talked about a celebrity who 483 00:26:08,000 --> 00:26:10,240 Speaker 2: just got done fighting cancer and now to find out 484 00:26:10,240 --> 00:26:12,239 Speaker 2: who's got it again. So you'll find out who that 485 00:26:12,320 --> 00:26:16,400 Speaker 2: is here after marks nine o'clock News. First, if you're 486 00:26:16,440 --> 00:26:20,119 Speaker 2: worried about being replaced by AI, it is fair. MIT 487 00:26:20,320 --> 00:26:22,840 Speaker 2: says nearly twelve percent of the workforce could be replaced 488 00:26:22,880 --> 00:26:26,399 Speaker 2: today using artificial intelligence. It's not like that number is 489 00:26:26,400 --> 00:26:30,080 Speaker 2: gonna get any smaller as the years go on. As 490 00:26:30,080 --> 00:26:35,200 Speaker 2: it develops, it's going to continue to streamline things. Now, 491 00:26:36,119 --> 00:26:39,840 Speaker 2: one could make the argument that, well, what if responsible 492 00:26:39,880 --> 00:26:44,080 Speaker 2: business owners were able to employ AI in order to 493 00:26:44,160 --> 00:26:46,760 Speaker 2: take the burden off of their employees. In other words, 494 00:26:46,760 --> 00:26:49,040 Speaker 2: what if making a four day work week were a 495 00:26:49,119 --> 00:26:53,480 Speaker 2: reality because of AI? That is you and I know 496 00:26:54,600 --> 00:26:57,120 Speaker 2: that's not going to happen without cutting your salary by 497 00:26:57,119 --> 00:27:00,360 Speaker 2: twenty percent. Because at any time that you have an opportunity 498 00:27:00,440 --> 00:27:02,439 Speaker 2: to cut the salary to increase your profits, that's what 499 00:27:02,480 --> 00:27:06,480 Speaker 2: you do, right. So you may have a few responsible 500 00:27:06,520 --> 00:27:09,399 Speaker 2: places that say, look, we can be more efficient, we 501 00:27:09,400 --> 00:27:12,800 Speaker 2: can get more done and we can help our employees 502 00:27:12,840 --> 00:27:15,280 Speaker 2: out more with AI. There may be a few places 503 00:27:15,320 --> 00:27:16,800 Speaker 2: like that, and I hope that there are more than 504 00:27:16,880 --> 00:27:20,040 Speaker 2: just a few. Unfortunately, the reality is there will be 505 00:27:20,080 --> 00:27:21,840 Speaker 2: hard times. When those hard times, yet, they're going to 506 00:27:21,880 --> 00:27:23,439 Speaker 2: look for places that they can cut, and they're going 507 00:27:23,480 --> 00:27:26,200 Speaker 2: to go we can cut employees and we can replace 508 00:27:26,240 --> 00:27:29,800 Speaker 2: employees with AI. It's much cheaper. It doesn't need health benefits, 509 00:27:30,240 --> 00:27:32,920 Speaker 2: it doesn't take sick days, it doesn't need a vacation, 510 00:27:33,920 --> 00:27:37,119 Speaker 2: it doesn't need overtime. It doesn't have to work just 511 00:27:37,200 --> 00:27:41,159 Speaker 2: eight hours. It can work NonStop. That's the reality of it. 512 00:27:41,880 --> 00:27:43,520 Speaker 2: And I got to tell you that the temptation of 513 00:27:43,520 --> 00:27:45,720 Speaker 2: those dollar science is going to be too great for 514 00:27:45,800 --> 00:27:49,439 Speaker 2: these companies. But there is one profession I don't know 515 00:27:49,440 --> 00:27:54,119 Speaker 2: if I hate this idea, and that is that is 516 00:27:54,160 --> 00:27:59,040 Speaker 2: that AI is starting to become real competition for what 517 00:27:59,160 --> 00:28:04,080 Speaker 2: is a relatively fledgling career path. CNBC was discussing it. 518 00:28:04,119 --> 00:28:07,320 Speaker 6: This is Blue, an AI generated YouTuber with millions of 519 00:28:07,359 --> 00:28:09,360 Speaker 6: fans and a growing media empire. 520 00:28:09,560 --> 00:28:13,960 Speaker 7: I'm a virtual influencer with a big and fun personality. 521 00:28:14,400 --> 00:28:17,920 Speaker 7: I'm all about good vibes and engaging content. And I'm 522 00:28:18,000 --> 00:28:21,560 Speaker 7: built by humans but boosted by AI, and here to 523 00:28:21,640 --> 00:28:26,240 Speaker 7: keep my millions of viewers worldwide entertained and keeping keeping 524 00:28:26,280 --> 00:28:30,600 Speaker 7: on coming back for more AI influencers. 525 00:28:31,440 --> 00:28:35,040 Speaker 2: Oh no level gen z aspire to if they're being 526 00:28:35,080 --> 00:28:39,360 Speaker 2: replaced by computers already. Did you notice that it's stuttered. 527 00:28:41,360 --> 00:28:45,520 Speaker 2: I thought that was really interesting. The voice actually stuttered. 528 00:28:46,320 --> 00:28:48,680 Speaker 2: It actually sounded like it was confused or I don't know. 529 00:28:48,800 --> 00:28:51,840 Speaker 7: Hi, listen again, and here to keep my millions of 530 00:28:51,920 --> 00:28:56,880 Speaker 7: viewers worldwide entertained and keeping keeping on coming back for more. 531 00:28:57,840 --> 00:28:59,720 Speaker 2: It's like it was unsure of what it was saying. 532 00:29:00,120 --> 00:29:02,880 Speaker 2: That's kind of scary how realistic that is. 533 00:29:03,280 --> 00:29:06,000 Speaker 6: And Blue's creator says he's earned more than a million 534 00:29:06,080 --> 00:29:08,280 Speaker 6: dollars through YouTube ads and sponsorships. 535 00:29:08,400 --> 00:29:11,840 Speaker 2: Holy crap. But Blue is. 536 00:29:11,840 --> 00:29:15,840 Speaker 6: Just one example from creators uploading dozens of AI generated 537 00:29:15,880 --> 00:29:19,240 Speaker 6: videos a day to virtual characters made in seconds with 538 00:29:19,360 --> 00:29:23,840 Speaker 6: tools like Heedra's Character three. AI content is accelerating, and 539 00:29:23,920 --> 00:29:25,360 Speaker 6: so is the business behind it. 540 00:29:25,760 --> 00:29:28,080 Speaker 8: So I think it's just a growing market, right. I 541 00:29:28,080 --> 00:29:30,440 Speaker 8: think what we're seeing is not that people that were 542 00:29:30,520 --> 00:29:33,719 Speaker 8: content creators shifting to being virtual content creators. I think 543 00:29:33,760 --> 00:29:36,560 Speaker 8: what we're seeing is and said that people that didn't 544 00:29:36,560 --> 00:29:39,560 Speaker 8: feel like they could create content before because they didn't 545 00:29:39,560 --> 00:29:41,640 Speaker 8: want to be in front of camera or they didn't 546 00:29:41,640 --> 00:29:46,320 Speaker 8: have a really nice podcast capturing setup are now able 547 00:29:46,360 --> 00:29:48,840 Speaker 8: in a couple seconds to just go to our website 548 00:29:48,880 --> 00:29:52,200 Speaker 8: and create an image, upload an image, and immediately bring 549 00:29:52,280 --> 00:29:53,360 Speaker 8: something to life. 550 00:29:53,640 --> 00:29:57,320 Speaker 6: YouTubers first gain traction in Japan, but they're now expanding 551 00:29:57,400 --> 00:30:00,800 Speaker 6: fast in the US, where audiences are forming real emotional 552 00:30:00,800 --> 00:30:04,760 Speaker 6: bonds with virtual creators. But as content spreads, it's raising 553 00:30:04,840 --> 00:30:09,640 Speaker 6: new questions about authenticity, automation, and what happens when audiences 554 00:30:09,680 --> 00:30:10,640 Speaker 6: can't tell the difference. 555 00:30:11,200 --> 00:30:13,920 Speaker 2: What happens is it doesn't matter as long as somebody's 556 00:30:14,000 --> 00:30:18,760 Speaker 2: making money. Follow the money. There's another example from the 557 00:30:18,800 --> 00:30:23,160 Speaker 2: New York Post, virtual influencer a ton of Lopez making 558 00:30:23,320 --> 00:30:26,760 Speaker 2: up to eleven thousand dollars a month promoting brands like 559 00:30:26,800 --> 00:30:32,160 Speaker 2: Amazon and Calvin Klein, no physical existence whatsoever. How many 560 00:30:32,240 --> 00:30:35,360 Speaker 2: videos do you wanted to crank out? Not only that, 561 00:30:35,600 --> 00:30:40,520 Speaker 2: but they crafted a backstory, so a ton of this 562 00:30:41,480 --> 00:30:47,160 Speaker 2: influencer has a childhood story of favorite food, vacation habits, 563 00:30:47,200 --> 00:30:56,000 Speaker 2: and an astrological chart. Wow. Critics, including actors and musicians, 564 00:30:56,080 --> 00:30:58,800 Speaker 2: were the digital figures erode the human side of content 565 00:30:58,840 --> 00:31:01,440 Speaker 2: creation and muddy the valley you of real creative work. 566 00:31:01,520 --> 00:31:03,920 Speaker 2: I totally agree. You could make the argument, however, that 567 00:31:03,960 --> 00:31:06,920 Speaker 2: the programmers are engaging in their own sort of creative work. 568 00:31:06,960 --> 00:31:11,760 Speaker 2: But how much human content creation is there if you're 569 00:31:13,800 --> 00:31:17,560 Speaker 2: if you're just basically doing ads for Amazon and Kelvin Klein, 570 00:31:18,560 --> 00:31:20,840 Speaker 2: not with Kelvin Clin. I suppose you're probably replacing models, 571 00:31:20,840 --> 00:31:28,000 Speaker 2: But I mean, it's a little frustrating. Are you really 572 00:31:28,360 --> 00:31:31,480 Speaker 2: Are you really disrupting the entire market when basically what 573 00:31:31,480 --> 00:31:36,440 Speaker 2: you're doing you're stealing the jobs from from twenty year 574 00:31:36,480 --> 00:31:38,760 Speaker 2: old hotties who are like, oh my god, this is 575 00:31:38,800 --> 00:31:42,280 Speaker 2: my favorite hair tie ever. You guys, I am obsessed 576 00:31:42,320 --> 00:31:47,240 Speaker 2: with this new foundation. It is incredible. Oh my gosh, 577 00:31:47,320 --> 00:31:59,200 Speaker 2: my eyelashes have never looked better. Barf. All right, I 578 00:31:59,240 --> 00:32:01,560 Speaker 2: suppose I should probab protect. I should probably look at 579 00:32:01,600 --> 00:32:04,520 Speaker 2: them as artists too and try to protect them as well, 580 00:32:06,120 --> 00:32:09,760 Speaker 2: because it's a slippery slope. I just hate to have 581 00:32:09,840 --> 00:32:17,280 Speaker 2: to do it. Seen way too many aspiring influencers become 582 00:32:17,400 --> 00:32:26,720 Speaker 2: aspiring living at mom and Dad's house until I'm thirty ers. Yeah, alright, 583 00:32:26,840 --> 00:32:29,800 Speaker 2: the celebrity that just be cancer now diagnosed with it again. 584 00:32:30,360 --> 00:32:32,080 Speaker 2: You don't want to hear who this is next time, 585 00:32:32,160 --> 00:32:34,520 Speaker 2: Chris Merril KFI AM six forty live everywhere in the 586 00:32:34,560 --> 00:32:35,440 Speaker 2: iHeartRadio 587 00:32:35,480 --> 00:32:43,080 Speaker 1: App, KFI AM sixty on demand