1 00:00:00,080 --> 00:00:02,560 Speaker 1: They have the number one song on the Gospel charts, 2 00:00:02,759 --> 00:00:08,320 Speaker 1: and the Instagram account has surpassed seven surpassed seven million streams, 3 00:00:08,920 --> 00:00:12,879 Speaker 1: and the YouTube account has generated more than a million 4 00:00:12,960 --> 00:00:17,240 Speaker 1: views for his songs. The only problem is it's not 5 00:00:17,280 --> 00:00:21,840 Speaker 1: a real person. This is Solomon Ray. And check out 6 00:00:21,880 --> 00:00:24,040 Speaker 1: the song Goodbye Temptation. 7 00:00:29,520 --> 00:00:31,159 Speaker 2: Control n. 8 00:00:33,479 --> 00:00:34,239 Speaker 1: You kind of like it? 9 00:00:34,640 --> 00:00:34,919 Speaker 3: Like it? 10 00:00:35,080 --> 00:00:40,360 Speaker 1: Oh? No, Solomon Ray is the name of the artist 11 00:00:41,720 --> 00:00:45,680 Speaker 1: a I generated. So it's really not an artist, is it. 12 00:00:46,479 --> 00:00:49,880 Speaker 3: Well, could the person who prompted the you know, because 13 00:00:49,880 --> 00:00:51,720 Speaker 3: you have to type in, write me a gospel song, 14 00:00:51,760 --> 00:00:53,440 Speaker 3: that's this, this and this is that person? 15 00:00:53,479 --> 00:00:54,840 Speaker 2: Then maybe considered the artist. 16 00:00:55,120 --> 00:01:00,600 Speaker 1: Solomon Ray was created by Christopher Townshend. Townshend is somebody 17 00:01:00,640 --> 00:01:04,560 Speaker 1: who lives in Mississippi and is a MAGA rapper and 18 00:01:04,760 --> 00:01:10,560 Speaker 1: conservative activist and a former Air Force intelligence analyst and 19 00:01:10,640 --> 00:01:13,480 Speaker 1: decided smart guy. He is just going to make an 20 00:01:13,520 --> 00:01:18,280 Speaker 1: AI artist, the Solomon Ray. And Solomon Ray has now 21 00:01:18,319 --> 00:01:23,920 Speaker 1: reached number one on several charts, including the Billboard Gospel Chart, 22 00:01:24,720 --> 00:01:29,760 Speaker 1: and that brings in some questions about what is real 23 00:01:30,000 --> 00:01:34,119 Speaker 1: and what isn't real, what is fake and art? And 24 00:01:34,640 --> 00:01:37,200 Speaker 1: what do we expect now with all of this AI 25 00:01:37,360 --> 00:01:39,319 Speaker 1: generated content and material. 26 00:01:39,520 --> 00:01:42,080 Speaker 3: Well, you and Rob had this story several weeks ago, 27 00:01:42,560 --> 00:01:46,039 Speaker 3: going back maybe a month. The number one country song 28 00:01:46,080 --> 00:01:48,680 Speaker 3: at the time was from an AI generated artist, completely 29 00:01:48,720 --> 00:01:50,280 Speaker 3: ai Yeah. 30 00:01:50,280 --> 00:01:52,280 Speaker 1: I'm trying to think of who that was. It was 31 00:01:52,920 --> 00:01:58,560 Speaker 1: Rusty Rusty, somebody breaking rust have the number one country. 32 00:01:58,160 --> 00:02:00,840 Speaker 2: Song and that was the AI generated yeah artists. 33 00:02:00,840 --> 00:02:04,600 Speaker 1: And Kane Walker is another one who had a number 34 00:02:04,640 --> 00:02:09,840 Speaker 1: three country song. But you've got these fake voices, fake videos, 35 00:02:10,240 --> 00:02:14,960 Speaker 1: entire fake personalities. It's making some people uncomfortable. And I 36 00:02:14,960 --> 00:02:17,160 Speaker 1: think I'm one of them. Okay, because had I not 37 00:02:17,480 --> 00:02:20,320 Speaker 1: known that that was ai Like, had I not read 38 00:02:20,360 --> 00:02:22,799 Speaker 1: the article and been told this is ai. 39 00:02:22,639 --> 00:02:25,280 Speaker 2: Jo before you heard the song, right, I would. 40 00:02:25,040 --> 00:02:28,079 Speaker 1: Have thought, oh, that's a that's a good sound. That's 41 00:02:28,080 --> 00:02:28,880 Speaker 1: a real person. 42 00:02:29,200 --> 00:02:32,840 Speaker 3: But okay, So because it's ai now you're against it 43 00:02:32,960 --> 00:02:33,760 Speaker 3: or you don't like it. 44 00:02:34,880 --> 00:02:37,839 Speaker 1: I think that there's a fine line there with art 45 00:02:38,080 --> 00:02:43,919 Speaker 1: and artistic endeavors in AI like, because it's taking away 46 00:02:43,919 --> 00:02:45,000 Speaker 1: the humanity of it. 47 00:02:45,919 --> 00:02:49,760 Speaker 2: But you still said you like the song. No, but 48 00:02:50,000 --> 00:02:51,880 Speaker 2: you still said you like the song. 49 00:02:52,040 --> 00:02:56,240 Speaker 1: Aah. So the creator says that his goal is to 50 00:02:56,480 --> 00:03:01,520 Speaker 1: add to gospel music, not replace it, And there's a 51 00:03:01,560 --> 00:03:05,480 Speaker 1: lot of churches that are saying, you know, AI shouldn't 52 00:03:05,520 --> 00:03:09,920 Speaker 1: replace real human stories. But technology and music isn't something new. 53 00:03:10,040 --> 00:03:10,359 Speaker 2: Okay. 54 00:03:10,400 --> 00:03:14,040 Speaker 3: So you know for decades now, hip hop artists and 55 00:03:14,160 --> 00:03:18,799 Speaker 3: DJs have been sampling songs and you can have made. 56 00:03:18,880 --> 00:03:20,240 Speaker 1: They coupled a real song. 57 00:03:20,480 --> 00:03:22,280 Speaker 3: Well, but they make it, but they change it and 58 00:03:22,320 --> 00:03:26,320 Speaker 3: they mix different samples together to create something new, when 59 00:03:26,360 --> 00:03:29,320 Speaker 3: in fact, they never played any of the instruments, maybe 60 00:03:29,320 --> 00:03:31,440 Speaker 3: didn't even sing on all of it, any of it. 61 00:03:31,440 --> 00:03:36,120 Speaker 3: It was all sampled vocals from previous songs. Is that 62 00:03:36,400 --> 00:03:39,600 Speaker 3: not very similar to what we're seeing here? I mean, 63 00:03:39,600 --> 00:03:42,560 Speaker 3: because somebody had to enter into the chat GPT prompt 64 00:03:42,720 --> 00:03:44,920 Speaker 3: you make me a gospel song that does this, this, this, 65 00:03:44,920 --> 00:03:45,640 Speaker 3: this and this and this. 66 00:03:45,680 --> 00:03:47,480 Speaker 2: So there was a human. 67 00:03:47,560 --> 00:03:51,480 Speaker 3: Behind giving the instructions to you know, chat GPT or 68 00:03:51,480 --> 00:03:54,400 Speaker 3: whatever he did to generate it, that then generated that 69 00:03:54,520 --> 00:03:55,520 Speaker 3: song you could make it. 70 00:03:55,600 --> 00:03:57,480 Speaker 2: That's very similar to you know, hip. 71 00:03:57,360 --> 00:04:01,080 Speaker 3: Hop artists that have sampled other songs and not really 72 00:04:01,560 --> 00:04:05,000 Speaker 3: played any new notes, just kind of created something new 73 00:04:05,040 --> 00:04:07,080 Speaker 3: out of this mashup of previous songs. 74 00:04:07,080 --> 00:04:09,840 Speaker 1: Well, you've got the human behind it who's entering in 75 00:04:09,880 --> 00:04:13,840 Speaker 1: the prompts, but that human maybe isn't a very good musician, 76 00:04:14,680 --> 00:04:18,359 Speaker 1: and so that's why they're doing it. But we're trying to. 77 00:04:18,360 --> 00:04:20,839 Speaker 3: Create something that again, you could say out there, say 78 00:04:20,880 --> 00:04:22,560 Speaker 3: the same thing from all the hip hop artists that 79 00:04:22,640 --> 00:04:25,320 Speaker 3: have created songs from samples of previous songs. 80 00:04:25,360 --> 00:04:27,920 Speaker 1: Yeah, but then they're taking away work from a real 81 00:04:28,000 --> 00:04:30,440 Speaker 1: human who actually is a musician. 82 00:04:32,279 --> 00:04:34,120 Speaker 3: We are going to have to come to grips with 83 00:04:34,160 --> 00:04:38,480 Speaker 3: this very very quickly. Look AI, whether you love AI, 84 00:04:38,640 --> 00:04:41,559 Speaker 3: hate AI, or somewhere in the middle, it's happening, whether 85 00:04:41,600 --> 00:04:43,800 Speaker 3: we like it or not, and how we deal with 86 00:04:43,839 --> 00:04:45,120 Speaker 3: it and how we feel about it. 87 00:04:45,320 --> 00:04:46,960 Speaker 2: I don't have a problem with it. I thought it 88 00:04:47,000 --> 00:04:48,120 Speaker 2: was a good song. I thought it was a. 89 00:04:48,920 --> 00:04:52,200 Speaker 1: Song too, but it was a little tainted for me 90 00:04:52,279 --> 00:04:55,120 Speaker 1: after I realized, you know, I think that's not real. 91 00:04:55,320 --> 00:04:56,280 Speaker 2: The big thing. 92 00:04:57,560 --> 00:04:59,880 Speaker 3: That I think people are at least initially going to 93 00:04:59,920 --> 00:05:01,599 Speaker 3: be looking for in the near future, here is at 94 00:05:01,680 --> 00:05:06,640 Speaker 3: least transparency from tell me if something is generated from AI. Okay, fine, 95 00:05:06,880 --> 00:05:09,080 Speaker 3: but you got at least tell me it's AI generated, 96 00:05:09,120 --> 00:05:10,640 Speaker 3: and then I can make up my own decision as 97 00:05:10,680 --> 00:05:12,640 Speaker 3: to whether I'm going to factor that into where you 98 00:05:12,680 --> 00:05:15,239 Speaker 3: know if I like this or don't like it because 99 00:05:15,240 --> 00:05:16,560 Speaker 3: it's AA and make you like. 100 00:05:16,520 --> 00:05:19,080 Speaker 1: It less after you know that it's AI. So I 101 00:05:19,160 --> 00:05:22,960 Speaker 1: came across this video and this is Mason on the mic, 102 00:05:23,160 --> 00:05:26,800 Speaker 1: and she's a radio disc jockey, a radio host, has 103 00:05:26,880 --> 00:05:31,359 Speaker 1: been for many years, and she found something else that 104 00:05:31,440 --> 00:05:33,680 Speaker 1: we have mentioned on this show. I thought it was 105 00:05:33,720 --> 00:05:37,560 Speaker 1: a cat fight at first until I realized, oh where, yeah, 106 00:05:37,600 --> 00:05:40,880 Speaker 1: cat fight, and then I realized where she was going 107 00:05:40,960 --> 00:05:41,920 Speaker 1: with this. Check it out. 108 00:05:42,279 --> 00:05:43,640 Speaker 4: Do you have a few moments for me to tell 109 00:05:43,640 --> 00:05:46,640 Speaker 4: you about this girl that I hate, A hater, a 110 00:05:46,680 --> 00:05:48,360 Speaker 4: hater with every fiver of my being. 111 00:05:49,320 --> 00:05:51,279 Speaker 1: If you like internet drama, this is for you. 112 00:05:51,480 --> 00:05:53,839 Speaker 4: My name is Mason. I do afternoons on m N 113 00:05:53,839 --> 00:05:56,120 Speaker 4: eighty four to one in Seattle, and I also am 114 00:05:56,120 --> 00:05:59,000 Speaker 4: on air in San Francisco on Alice ninety seven three 115 00:05:59,120 --> 00:06:02,520 Speaker 4: doing mid days. And the girl in question that I hate, 116 00:06:02,600 --> 00:06:05,160 Speaker 4: her name is Tory and she is also in radio. 117 00:06:05,360 --> 00:06:08,800 Speaker 4: She is on air in Iowa and she works for 118 00:06:08,920 --> 00:06:14,159 Speaker 4: the station KFMW Rock one o eight and tolmegirl has 119 00:06:14,200 --> 00:06:17,480 Speaker 4: tattoos and a nose ring and thinks she is. 120 00:06:19,000 --> 00:06:19,560 Speaker 1: Wonderful. 121 00:06:19,920 --> 00:06:20,599 Speaker 2: Yeah's wrong. 122 00:06:20,960 --> 00:06:24,880 Speaker 1: She is horrible on air, first and foremost, she sucks. Oh, 123 00:06:24,880 --> 00:06:26,039 Speaker 1: but don't just take my word for it. 124 00:06:26,200 --> 00:06:28,200 Speaker 4: Let me play you a little audio from her and 125 00:06:28,240 --> 00:06:30,160 Speaker 4: you can agree with me and be like, yes, Mason, 126 00:06:30,360 --> 00:06:31,599 Speaker 4: she blows. 127 00:06:31,760 --> 00:06:34,880 Speaker 5: Rock one o eight, I'm tory with new music. That 128 00:06:35,160 --> 00:06:39,400 Speaker 5: was My Only Angel by Aerosmith. Up next Home A 129 00:06:39,400 --> 00:06:43,080 Speaker 5: Lot of Rosie by ac DC is a wild rock anthem. 130 00:06:43,680 --> 00:06:46,960 Speaker 5: It's about bon Scott's encounter with a big, bold woman 131 00:06:47,080 --> 00:06:51,919 Speaker 5: named Rosie. Talk about a legendary backstage story rock on. 132 00:06:52,720 --> 00:06:55,880 Speaker 4: She sounds like the south Park episode. Tell me about 133 00:06:55,920 --> 00:06:58,760 Speaker 4: the women at your job that you do that like, 134 00:06:59,279 --> 00:07:02,159 Speaker 4: she sounds like a Why because she's Ai? 135 00:07:02,560 --> 00:07:05,920 Speaker 1: Yeah, so that's a disc jockey in Iowa. That's not 136 00:07:05,960 --> 00:07:06,599 Speaker 1: a real person. 137 00:07:06,680 --> 00:07:08,560 Speaker 2: Okay, Now that offends. 138 00:07:08,160 --> 00:07:09,920 Speaker 1: Me because it's taking your job. 139 00:07:10,040 --> 00:07:12,560 Speaker 3: No, not because it might be taking my job. Not 140 00:07:12,560 --> 00:07:14,480 Speaker 3: because it's Ai. And this is somebody that was a 141 00:07:14,560 --> 00:07:16,040 Speaker 3: music disc jockey for a long time. 142 00:07:16,320 --> 00:07:16,960 Speaker 2: It offends me. 143 00:07:16,960 --> 00:07:21,280 Speaker 3: Because that AI disc jockey was terrible, Like the worst 144 00:07:21,280 --> 00:07:23,840 Speaker 3: thing I've ever heard in my life. I am offended 145 00:07:24,160 --> 00:07:26,920 Speaker 3: as a former disc jockey by the quality of that. 146 00:07:27,040 --> 00:07:29,120 Speaker 1: You could tell that's not a real human. Now, would 147 00:07:29,120 --> 00:07:33,840 Speaker 1: you listen to that radio station. If the host talked 148 00:07:34,040 --> 00:07:34,560 Speaker 1: like this. 149 00:07:34,600 --> 00:07:36,840 Speaker 3: Right, sounds like you remember when you used to call 150 00:07:36,880 --> 00:07:38,920 Speaker 3: on a phone and the number would be disconnected and 151 00:07:38,960 --> 00:07:41,480 Speaker 3: you get that automated voice. The number you have reached 152 00:07:42,040 --> 00:07:44,520 Speaker 3: is no longer in service it Remember we made that 153 00:07:44,560 --> 00:07:46,160 Speaker 3: technology in the early eighties. 154 00:07:46,160 --> 00:07:47,480 Speaker 2: And it just sounded just like that. 155 00:07:47,760 --> 00:07:51,040 Speaker 1: It reminds me of Kramer from Seinfeld. Why don't you 156 00:07:51,120 --> 00:07:52,480 Speaker 1: tell me what moviefoe? 157 00:07:52,640 --> 00:07:53,840 Speaker 2: Welcome to moviefoe. 158 00:07:53,920 --> 00:07:56,600 Speaker 1: Hey, why don't you tell me what movie you'd like 159 00:07:56,720 --> 00:08:01,560 Speaker 1: to see? So? Yeah, no, I would not enjoy listening 160 00:08:02,120 --> 00:08:06,000 Speaker 1: to that sort of radio at all, knowing that that's AI. 161 00:08:06,920 --> 00:08:10,640 Speaker 1: The music thing, the Solomon Ray guy who's got a 162 00:08:10,720 --> 00:08:13,840 Speaker 1: number one gospel song that was pretty good. 163 00:08:14,040 --> 00:08:15,360 Speaker 2: It was really good, I know. 164 00:08:15,760 --> 00:08:18,560 Speaker 3: And if I could have a music disc jockey that 165 00:08:18,720 --> 00:08:22,080 Speaker 3: was equally as good, Yeah, I may be. 166 00:08:22,800 --> 00:08:24,680 Speaker 2: I may be okay with it. And look for now, 167 00:08:24,920 --> 00:08:27,840 Speaker 2: bring it all on AI, coming at us one hundred percent. 168 00:08:27,920 --> 00:08:28,680 Speaker 2: I'm here for it. 169 00:08:28,720 --> 00:08:32,400 Speaker 1: Maybe the program director of that Iowa radio station just 170 00:08:32,480 --> 00:08:36,880 Speaker 1: hass to enter better prompts so that it doesn't sound 171 00:08:37,240 --> 00:08:38,400 Speaker 1: so robotic. 172 00:08:38,760 --> 00:08:41,080 Speaker 2: See, the human element is always there. 173 00:08:41,480 --> 00:08:44,000 Speaker 3: The human element is always part of it, somebody's got 174 00:08:44,000 --> 00:08:45,760 Speaker 3: to be typing in those prompts and telling them what 175 00:08:45,800 --> 00:08:50,160 Speaker 3: they want. So even with AI generated content, there's always 176 00:08:50,160 --> 00:08:51,520 Speaker 3: that human element behind it,