1 00:00:00,560 --> 00:00:03,280 Speaker 1: So there is a new study that said gen Z 2 00:00:03,480 --> 00:00:07,640 Speaker 1: speaking of young men turning eighteen, gen Z's sentiment towards 3 00:00:07,720 --> 00:00:12,920 Speaker 1: artificial intelligence has shifted in the last year, with teens 4 00:00:12,960 --> 00:00:17,320 Speaker 1: and twenty somethings less excited about the tech. In fact, 5 00:00:17,960 --> 00:00:22,440 Speaker 1: they're not only less excited about it, they're getting angry 6 00:00:22,920 --> 00:00:26,320 Speaker 1: about it. They've got a lot of anger and skepticism 7 00:00:26,760 --> 00:00:31,560 Speaker 1: towards AI as AI is rising, and that anchor is 8 00:00:31,720 --> 00:00:36,600 Speaker 1: probably coming from them becoming more informed about it well 9 00:00:36,640 --> 00:00:39,360 Speaker 1: the fact that all the data centers are popping up 10 00:00:39,840 --> 00:00:43,280 Speaker 1: and what it could be potentially doing to their future 11 00:00:43,360 --> 00:00:44,640 Speaker 1: employment as well. 12 00:00:45,320 --> 00:00:47,800 Speaker 2: Yeah, and we see this anecdotally with our daughter who's 13 00:00:47,840 --> 00:00:50,720 Speaker 2: gen Z and her friends, and she hates it and 14 00:00:50,760 --> 00:00:53,440 Speaker 2: all her friends do too. In fact, they, you know, 15 00:00:53,680 --> 00:00:57,440 Speaker 2: whenever they see commercials or advertisements where the graphic or 16 00:00:57,560 --> 00:01:01,280 Speaker 2: video has clearly been generated VIA. There's a lot of 17 00:01:01,320 --> 00:01:05,200 Speaker 2: outrage on that. Some artists, authors, This has been a 18 00:01:05,200 --> 00:01:08,880 Speaker 2: big thing. The book publishers have started using AI to 19 00:01:09,080 --> 00:01:12,160 Speaker 2: generate the cover artwork for their books, and apparently in 20 00:01:12,200 --> 00:01:15,560 Speaker 2: the book community community, that's a big scandal and they 21 00:01:15,600 --> 00:01:18,360 Speaker 2: don't want AI invading any part of their life in 22 00:01:18,400 --> 00:01:20,520 Speaker 2: any aspect of it, and I'm sure the fact that 23 00:01:20,800 --> 00:01:23,399 Speaker 2: everybody is screaming doom and gloom and how AI is 24 00:01:23,400 --> 00:01:26,440 Speaker 2: going to take over everybody's jobs, and gen Z certainly 25 00:01:26,480 --> 00:01:29,039 Speaker 2: has the longest part of their careers. 26 00:01:28,640 --> 00:01:30,560 Speaker 3: Ahead of them, that's got to be a factor into 27 00:01:30,560 --> 00:01:30,959 Speaker 3: this as well. 28 00:01:31,000 --> 00:01:32,560 Speaker 1: A lot of them believe that AI is going to 29 00:01:32,640 --> 00:01:36,360 Speaker 1: hurt critical thinking and learning, no kidding, it will also 30 00:01:36,640 --> 00:01:41,959 Speaker 1: replace or weeken creativity. They see art as being replaced, 31 00:01:42,200 --> 00:01:45,520 Speaker 1: real art made by humans being replaced, like you mentioned 32 00:01:45,760 --> 00:01:50,000 Speaker 1: not only book covers but also album covers, and even 33 00:01:50,280 --> 00:01:54,720 Speaker 1: their music is being replaced by AI instead of real humans. 34 00:01:55,720 --> 00:01:57,560 Speaker 2: You had that story in the last week about how 35 00:01:57,560 --> 00:02:00,280 Speaker 2: on the country charts on Spotify right now of the 36 00:02:00,320 --> 00:02:02,600 Speaker 2: top five, three out of the top five songs are 37 00:02:02,640 --> 00:02:04,880 Speaker 2: AI artists with AI generated songs. 38 00:02:04,960 --> 00:02:08,000 Speaker 1: It's interesting, though, because the generation is kind of split. 39 00:02:08,200 --> 00:02:11,119 Speaker 1: They are a walking contradiction, because you've got a lot 40 00:02:11,160 --> 00:02:16,519 Speaker 1: of gen Z saying no, we're rejecting AI, we're dismissive 41 00:02:16,560 --> 00:02:21,200 Speaker 1: of the tech industry. However, they're also the group that 42 00:02:21,240 --> 00:02:24,679 Speaker 1: has the highest usage, So you've got half of them 43 00:02:24,760 --> 00:02:28,799 Speaker 1: saying no to AI and the other embracing it and 44 00:02:28,919 --> 00:02:32,160 Speaker 1: using it the most out of any other generational group. 45 00:02:32,320 --> 00:02:36,320 Speaker 2: Yeah, it's a polarizing subject, and I get it, and 46 00:02:36,400 --> 00:02:39,200 Speaker 2: I understand why people don't like AI, and let's let's 47 00:02:39,240 --> 00:02:41,600 Speaker 2: set the data centers aside, because that's kind of a separate, 48 00:02:41,880 --> 00:02:43,720 Speaker 2: you know, part of it, but kind of a separate 49 00:02:43,720 --> 00:02:46,239 Speaker 2: issue on associated with this. I understand there are a 50 00:02:46,240 --> 00:02:48,200 Speaker 2: lot of fears about AI and a lot of concerns 51 00:02:48,240 --> 00:02:50,680 Speaker 2: about AI, and a lot of people don't like AI, 52 00:02:51,600 --> 00:02:55,000 Speaker 2: but that doesn't change the fact that the AI revolution 53 00:02:55,320 --> 00:02:58,480 Speaker 2: is coming, and it's coming very quickly. So I get 54 00:02:58,480 --> 00:03:01,440 Speaker 2: frustrated when I always hear peop about AI. I'm not 55 00:03:01,520 --> 00:03:02,680 Speaker 2: participating in that? 56 00:03:02,960 --> 00:03:03,440 Speaker 3: Oh really? 57 00:03:04,040 --> 00:03:05,720 Speaker 2: Are you're not going to participate in that? Are you 58 00:03:05,760 --> 00:03:07,280 Speaker 2: the same person that was like, yeah, I'm not going 59 00:03:07,360 --> 00:03:10,119 Speaker 2: to participate in the Internet back in the late nineties. Yeah, 60 00:03:10,120 --> 00:03:12,120 Speaker 2: the Internet was coming whether you wanted it or not. 61 00:03:12,520 --> 00:03:14,320 Speaker 2: So are you gonna get left behind? Or are you 62 00:03:14,400 --> 00:03:16,760 Speaker 2: going to figure out how you can turn AI into 63 00:03:16,800 --> 00:03:19,079 Speaker 2: something that is useful to society. 64 00:03:19,760 --> 00:03:22,160 Speaker 1: So you've got about fifty one percent of gen Z 65 00:03:22,400 --> 00:03:25,640 Speaker 1: say they use AI at least weekly, twenty two percent 66 00:03:25,800 --> 00:03:30,040 Speaker 1: say they use it daily. I used it yesterday, Yeah, 67 00:03:30,080 --> 00:03:33,840 Speaker 1: I did something. There's a new app and it is 68 00:03:34,040 --> 00:03:37,680 Speaker 1: called Suno and it creates music. 69 00:03:38,360 --> 00:03:41,600 Speaker 3: Oh did you make an AI song? I did, and 70 00:03:41,760 --> 00:03:42,200 Speaker 3: I was. 71 00:03:42,200 --> 00:03:45,080 Speaker 1: Because it kept popping up on all my social media 72 00:03:45,120 --> 00:03:47,120 Speaker 1: feeds and I was like, what is this? So I 73 00:03:47,160 --> 00:03:50,160 Speaker 1: went to the app and I did a little learning, 74 00:03:50,400 --> 00:03:53,280 Speaker 1: and it's the sort of thing where you can type 75 00:03:53,320 --> 00:03:58,360 Speaker 1: in text whatever you want and within a matter of seconds, 76 00:03:58,400 --> 00:04:01,680 Speaker 1: and I'm talking like fifteen second, boom, it'll pop out 77 00:04:01,680 --> 00:04:02,000 Speaker 1: a song. 78 00:04:02,120 --> 00:04:02,320 Speaker 3: Okay. 79 00:04:02,360 --> 00:04:04,920 Speaker 2: So it's similar to chat GPT, where you give it 80 00:04:04,960 --> 00:04:07,560 Speaker 2: a prompt, you tell it what you want, and then 81 00:04:07,680 --> 00:04:09,880 Speaker 2: very quickly it delivers on what you want. Normally, in 82 00:04:09,960 --> 00:04:12,640 Speaker 2: chat GPT, you're just looking for some information, but in 83 00:04:12,680 --> 00:04:15,360 Speaker 2: this you're telling it, hey make a song like this 84 00:04:15,600 --> 00:04:16,120 Speaker 2: about this. 85 00:04:16,680 --> 00:04:20,520 Speaker 1: So I prompted it to make a song about the 86 00:04:20,600 --> 00:04:26,680 Speaker 1: suspension of Indiana's gas use tax. And all I told it, 87 00:04:26,760 --> 00:04:30,239 Speaker 1: I said, make a rock song about this, and this 88 00:04:30,720 --> 00:04:33,880 Speaker 1: was Indiana has become the latest state to suspend it's 89 00:04:33,880 --> 00:04:37,719 Speaker 1: seven percent gasoline tax as Governor Brown seeks relief for 90 00:04:37,760 --> 00:04:39,839 Speaker 1: Hoosiers facing rising fuel prices. 91 00:04:40,320 --> 00:04:40,920 Speaker 3: Tied to the. 92 00:04:40,880 --> 00:04:45,560 Speaker 1: Conflict, and I ran and within fifteen seconds it popped 93 00:04:45,560 --> 00:04:46,159 Speaker 1: out this. 94 00:04:49,080 --> 00:04:50,839 Speaker 3: Nice guitar rock. 95 00:04:50,760 --> 00:04:51,560 Speaker 1: Song that it was. 96 00:04:51,600 --> 00:04:58,000 Speaker 4: The prompt sabcitagally today, same old stationed by the highway, 97 00:04:59,200 --> 00:05:03,120 Speaker 4: crass figures follow a little bit guy on the news 98 00:05:03,320 --> 00:05:07,600 Speaker 4: calls it a win, flexing hot and the deed win. 99 00:05:08,279 --> 00:05:12,760 Speaker 3: Who's a scaggling grace again? You have an green on 100 00:05:12,800 --> 00:05:16,839 Speaker 3: the TV screen. I'm talking about one free of. 101 00:05:19,920 --> 00:05:52,480 Speaker 4: Gasoline and cast wowing. 102 00:05:44,760 --> 00:05:49,760 Speaker 3: Him the dust. Okay, so what do you think of 103 00:05:49,760 --> 00:05:53,360 Speaker 3: this song? It even gave it a title. Oh yeah, well, 104 00:05:53,440 --> 00:05:55,919 Speaker 3: you didn't prompt it for a title, propped it for 105 00:05:55,960 --> 00:05:56,360 Speaker 3: a title. 106 00:05:56,360 --> 00:05:58,760 Speaker 1: It just spit went out and they named it gasoline 107 00:05:58,760 --> 00:05:59,440 Speaker 1: and promises. 108 00:06:00,240 --> 00:06:03,599 Speaker 3: Uh I look, I'm gonna slop. 109 00:06:03,839 --> 00:06:07,240 Speaker 2: I'm sure I'll get roasted in the YouTube comments for 110 00:06:07,320 --> 00:06:07,919 Speaker 2: what I'm. 111 00:06:07,760 --> 00:06:10,719 Speaker 3: About to say. You about to say, not bad? You 112 00:06:10,880 --> 00:06:12,800 Speaker 3: like bad song? Kevin? Did you? 113 00:06:13,040 --> 00:06:13,360 Speaker 2: Kevin? 114 00:06:13,440 --> 00:06:14,840 Speaker 1: You are a musician? 115 00:06:15,480 --> 00:06:16,479 Speaker 3: Did you hate that? 116 00:06:16,640 --> 00:06:18,760 Speaker 2: Did you think it was Nickelback like? 117 00:06:19,000 --> 00:06:21,080 Speaker 3: Or are you like? No, it's kind of a jam. No. 118 00:06:21,120 --> 00:06:23,320 Speaker 2: I thought it was really catchy, but you know music 119 00:06:23,360 --> 00:06:26,520 Speaker 2: comes from the soul, I think. 120 00:06:27,320 --> 00:06:30,080 Speaker 3: No kidding, but what wait? Can we stop with the 121 00:06:30,200 --> 00:06:31,120 Speaker 3: Nickelback hate? 122 00:06:31,160 --> 00:06:34,000 Speaker 2: Wait? You did you just pretty much give an analogy 123 00:06:34,040 --> 00:06:36,279 Speaker 2: that Nickelback is pretty much the same as AI. 124 00:06:37,680 --> 00:06:41,240 Speaker 1: I'm saying, I will not I rounded a little a little. 125 00:06:41,080 --> 00:06:44,520 Speaker 2: Nickelback, Like I will not sit here and let you 126 00:06:44,760 --> 00:06:49,600 Speaker 2: slander name the name of nickel the band Nickelback. They 127 00:06:49,800 --> 00:06:52,640 Speaker 2: rocket Me and Nigel might be the only Nickelback fans 128 00:06:52,720 --> 00:06:55,120 Speaker 2: left in the world, but we're proud Nickelback supporters. 129 00:06:55,360 --> 00:06:58,279 Speaker 1: So here's the interesting thing about this app that I mentioned. 130 00:06:58,320 --> 00:07:02,280 Speaker 1: It's called Suno, and they've been in negotiations with some 131 00:07:02,760 --> 00:07:07,360 Speaker 1: of the top record labels over talks over this AI 132 00:07:07,560 --> 00:07:12,720 Speaker 1: generated music. It's becoming a real issue for the real 133 00:07:12,840 --> 00:07:13,760 Speaker 1: record labels. 134 00:07:14,240 --> 00:07:16,720 Speaker 2: You know, we thought, remember back in the nineties when 135 00:07:16,800 --> 00:07:19,640 Speaker 2: Napster came out and everybody's like, oh, free music sharing, 136 00:07:19,680 --> 00:07:21,600 Speaker 2: this is the end of the music industry. And then 137 00:07:21,640 --> 00:07:23,960 Speaker 2: the music industry figured it out and iTunes came out 138 00:07:23,960 --> 00:07:25,640 Speaker 2: and everybody got paid and that sort of thing. 139 00:07:26,800 --> 00:07:29,480 Speaker 3: This may be the end of the music industry. 140 00:07:29,080 --> 00:07:32,080 Speaker 1: You think. So when you've got like, like we mentioned, 141 00:07:32,080 --> 00:07:36,080 Speaker 1: three out of the top five songs in the iTunes. 142 00:07:36,080 --> 00:07:39,320 Speaker 2: Country chart are currently AI generated songs. And you made 143 00:07:39,360 --> 00:07:42,120 Speaker 2: that with about you know, three lines of a text 144 00:07:42,240 --> 00:07:44,360 Speaker 2: prompt and that crank you know what I did. 145 00:07:44,440 --> 00:07:47,880 Speaker 1: I went to Twitter and I copied someone's post and 146 00:07:47,960 --> 00:07:51,360 Speaker 1: put that in a different I didn't even write that myself. 147 00:07:51,480 --> 00:07:52,600 Speaker 3: I just copied it. 148 00:07:52,720 --> 00:07:56,480 Speaker 1: Put it into Sunu Suno, and boom it spit out 149 00:07:56,480 --> 00:07:59,000 Speaker 1: that song. It even gave me like an album cover 150 00:07:59,400 --> 00:08:03,400 Speaker 1: for the song. It did everything in literally less than 151 00:08:03,400 --> 00:08:03,840 Speaker 1: a minute. 152 00:08:03,920 --> 00:08:06,520 Speaker 2: Now, See, I'm I do a pretty good job of 153 00:08:06,560 --> 00:08:08,640 Speaker 2: being able to recognize when I see an image or 154 00:08:08,680 --> 00:08:11,240 Speaker 2: a video and being able to discern whether or not 155 00:08:11,320 --> 00:08:13,520 Speaker 2: it's real or AI. If you had played that song 156 00:08:13,560 --> 00:08:15,120 Speaker 2: for me and been like, hey, check out this new 157 00:08:15,120 --> 00:08:15,640 Speaker 2: song I heard, I. 158 00:08:15,600 --> 00:08:17,240 Speaker 3: Would have been like, that's pretty cool this song. 159 00:08:17,320 --> 00:08:20,920 Speaker 2: I wouldn't have had any idea that that was AI generated. 160 00:08:20,960 --> 00:08:23,480 Speaker 2: There's no clues when listening to it and picking up 161 00:08:23,600 --> 00:08:25,440 Speaker 2: trying to discern and trying to pick up, oh this 162 00:08:25,520 --> 00:08:26,520 Speaker 2: is fake, this is AI. 163 00:08:26,920 --> 00:08:28,360 Speaker 3: That sounds like a real song. 164 00:08:28,800 --> 00:08:32,560 Speaker 1: So I did another one, and I was talking about 165 00:08:32,720 --> 00:08:36,959 Speaker 1: I ran an oil and China and it named it 166 00:08:37,000 --> 00:08:40,160 Speaker 1: Oil on the Table. And then at that point I 167 00:08:40,240 --> 00:08:42,199 Speaker 1: was like, Okay, I got to put it. I got 168 00:08:42,240 --> 00:08:44,640 Speaker 1: to give it a rest, and so I prompted it 169 00:08:44,720 --> 00:08:48,320 Speaker 1: one last time my third song, and I just said, 170 00:08:48,320 --> 00:08:50,760 Speaker 1: write a song about being stressed out by the news, 171 00:08:51,280 --> 00:08:53,360 Speaker 1: and the title of the song that it came up 172 00:08:53,400 --> 00:08:55,840 Speaker 1: with was turn Off the News. 173 00:08:56,840 --> 00:09:00,360 Speaker 2: Okay, pretty much on the a little bit on of those, 174 00:09:00,400 --> 00:09:02,840 Speaker 2: but look, that's not a terrible song. 175 00:09:02,960 --> 00:09:07,080 Speaker 3: Time to walk Away, Gasolina Promises, Gasolina Promises. 176 00:09:07,520 --> 00:09:11,040 Speaker 1: You're listening to Casey and Jim. It's ninety three WYBC.