1 00:00:00,240 --> 00:00:04,320 Speaker 1: So an AI podcasting machine churning out three thousand episodes 2 00:00:04,360 --> 00:00:08,440 Speaker 1: a week and rob bad news people are listening. This 3 00:00:08,480 --> 00:00:12,039 Speaker 1: is called Inception Point AI. It's a startup. They started 4 00:00:12,039 --> 00:00:16,040 Speaker 1: with eight employees and they produce three thousand AI generated 5 00:00:16,079 --> 00:00:18,760 Speaker 1: episodes per week. They already have at least one hundred 6 00:00:18,760 --> 00:00:23,360 Speaker 1: and seventy five thousand AI podcast episodes about what well 7 00:00:23,560 --> 00:00:26,480 Speaker 1: they have different things. Okay, they have one hundred and 8 00:00:26,520 --> 00:00:31,480 Speaker 1: twenty different host personas. These aren't real people, so they're personas. 9 00:00:32,080 --> 00:00:36,559 Speaker 1: And these personas have backstories, flaws, humors, and they range 10 00:00:36,640 --> 00:00:41,440 Speaker 1: from different things. For example, there's one host persona named 11 00:00:41,520 --> 00:00:45,640 Speaker 1: Kai who is a confidence coach. This persona has a 12 00:00:45,640 --> 00:00:51,360 Speaker 1: British voice and offers short self help episodes. There's another one, 13 00:00:51,560 --> 00:00:56,520 Speaker 1: Vivian Steel, which is celeb Confidential, and this one covers 14 00:00:56,520 --> 00:00:59,920 Speaker 1: celebrity gossip but apparently has a robotic tone. 15 00:01:01,000 --> 00:01:04,600 Speaker 2: There's a an episode of the Office where they put 16 00:01:04,720 --> 00:01:07,800 Speaker 2: they finally put the you know this is whatever ten 17 00:01:07,880 --> 00:01:12,600 Speaker 2: fifteen years ago, but they finally put the ability to 18 00:01:12,600 --> 00:01:16,240 Speaker 2: buy paper online, and it's dwighte As convinced he can 19 00:01:16,280 --> 00:01:19,039 Speaker 2: beat the computer and so the whole day is him 20 00:01:19,640 --> 00:01:23,080 Speaker 2: just working as hard as he possibly can to beat 21 00:01:23,120 --> 00:01:25,000 Speaker 2: the computer, and they keep a tally. And of course 22 00:01:25,040 --> 00:01:27,840 Speaker 2: it's the office, so there's all sorts of ridiculous stuff happening. 23 00:01:28,480 --> 00:01:31,040 Speaker 3: But is that where we're at now? 24 00:01:31,280 --> 00:01:32,119 Speaker 1: Is that where we're going? 25 00:01:32,160 --> 00:01:34,560 Speaker 3: Am I Dwight and I'm now fighting? You're trying to 26 00:01:34,600 --> 00:01:35,920 Speaker 3: beat the comptor the computer? 27 00:01:36,040 --> 00:01:36,280 Speaker 2: I think? 28 00:01:36,360 --> 00:01:41,160 Speaker 1: So. Episodes cost just one dollar each to produce, and 29 00:01:41,520 --> 00:01:44,520 Speaker 1: this company will make a profit if only twenty people 30 00:01:44,680 --> 00:01:47,840 Speaker 1: listen to an episode. 31 00:01:48,040 --> 00:01:50,920 Speaker 3: Yeah, we're done as a country, right, so they say. 32 00:01:50,920 --> 00:01:54,560 Speaker 1: The topics range from localized weather and pollen trackers to 33 00:01:54,720 --> 00:01:57,400 Speaker 1: biographies and also cultural events. What they do is they 34 00:01:57,400 --> 00:02:02,240 Speaker 1: have AI scan the internet for I, and then a 35 00:02:02,360 --> 00:02:07,240 Speaker 1: human team will pair topics with the personalities and just 36 00:02:07,320 --> 00:02:12,360 Speaker 1: with a few prompts boop, produce an episode. 37 00:02:12,480 --> 00:02:14,720 Speaker 2: No, no, no, have you heard any of these? Is there 38 00:02:14,720 --> 00:02:16,160 Speaker 2: any passion from these people? 39 00:02:16,400 --> 00:02:19,880 Speaker 1: The reports are that the hosts the personas have a 40 00:02:20,000 --> 00:02:24,680 Speaker 1: very monotone delivery, right, and very robotics. Some of them 41 00:02:24,760 --> 00:02:28,000 Speaker 1: even have Instagram pages to go along with it. 42 00:02:28,800 --> 00:02:32,720 Speaker 2: Who would follow an Instagram page of a not real person? Yeah? 43 00:02:33,200 --> 00:02:33,720 Speaker 3: People do? 44 00:02:34,040 --> 00:02:36,960 Speaker 1: People do? So this company is on track to produce 45 00:02:37,400 --> 00:02:40,720 Speaker 1: one hundred and fifty thousand episodes by the end of 46 00:02:40,800 --> 00:02:43,280 Speaker 1: this year. Okay, so critics, of course are calling it 47 00:02:43,320 --> 00:02:44,520 Speaker 1: AI slop. 48 00:02:45,000 --> 00:02:48,200 Speaker 2: Right, right, And look, I've said and I maintain that 49 00:02:49,040 --> 00:02:55,120 Speaker 2: AI cannot recreate my DNA. AI cannot recreate my life experience. 50 00:02:55,720 --> 00:03:00,560 Speaker 2: AI cannot recreate my DNA, my life experience, my passion, 51 00:03:00,720 --> 00:03:03,800 Speaker 2: my drive, my thing that motivates me every day to 52 00:03:03,840 --> 00:03:06,600 Speaker 2: produce this, to put together this. Well, you put together 53 00:03:06,720 --> 00:03:09,280 Speaker 2: radio show. I show up and talk on this radio show, right, 54 00:03:09,360 --> 00:03:12,160 Speaker 2: like I can't. keV produces you. You put it together. 55 00:03:12,200 --> 00:03:13,119 Speaker 2: I just show up and talk. 56 00:03:13,400 --> 00:03:15,200 Speaker 3: But they but like, right, you know what I'm saying. 57 00:03:15,480 --> 00:03:17,400 Speaker 1: AI is not gonna stomach ache over it. 58 00:03:19,760 --> 00:03:23,000 Speaker 2: But that's the point. So you can't do that, but 59 00:03:23,120 --> 00:03:26,679 Speaker 2: it is keV. This would be a question for you 60 00:03:27,880 --> 00:03:30,239 Speaker 2: if you knew a woman was fake, would you follow 61 00:03:30,280 --> 00:03:31,320 Speaker 2: the Instagram account? 62 00:03:31,880 --> 00:03:34,600 Speaker 3: No? No, Right, that seems pretty pointless to well. 63 00:03:34,520 --> 00:03:35,880 Speaker 2: Right, but there are people who do that, right, they 64 00:03:35,880 --> 00:03:39,839 Speaker 2: have AI girlfriends, or they have a robot girlfriends or right. 65 00:03:39,920 --> 00:03:43,680 Speaker 1: So why there's a country music artist that's all AI 66 00:03:44,480 --> 00:03:47,280 Speaker 1: when it's getting millions of listens? 67 00:03:47,400 --> 00:03:51,160 Speaker 2: What joy would you get in listening to a show 68 00:03:51,240 --> 00:03:54,720 Speaker 2: in which there's no human experience because part of talk 69 00:03:54,880 --> 00:03:59,040 Speaker 2: radio or podcasting or whatever whoever you're listening to is 70 00:03:59,720 --> 00:04:03,800 Speaker 2: it's like with music, right, their expections, Yeah, their experience 71 00:04:03,880 --> 00:04:08,480 Speaker 2: is reflected in the content, and there's no experience reflected 72 00:04:08,480 --> 00:04:11,240 Speaker 2: in this content. It's just it's not even real. So 73 00:04:11,280 --> 00:04:13,680 Speaker 2: who would do that, who would invest in that? Who's 74 00:04:13,680 --> 00:04:17,680 Speaker 2: that lonely for companionship. 75 00:04:17,000 --> 00:04:19,600 Speaker 1: Or just needing the noise in the background. So this 76 00:04:19,680 --> 00:04:24,320 Speaker 1: company's podcast listenership five hundred and eighty four million listeners 77 00:04:24,360 --> 00:04:26,880 Speaker 1: this past year, and they're projected to get six hundred 78 00:04:26,880 --> 00:04:28,719 Speaker 1: and nineteen million listens next year. 79 00:04:28,760 --> 00:04:29,560 Speaker 3: It's all over