1 00:00:00,572 --> 00:00:06,724 Podcasting 2.0 for May 1st, 2026, episode 259, Slop and Jack. 2 00:00:08,476 --> 00:00:12,259 Hello everybody from a very blustery, blustery Texas. 3 00:00:17,115 --> 00:00:18,115 It is time for podcast. 4 00:00:18,908 --> 00:00:19,800 This is the 5 00:00:20,211 --> 00:00:21,307 Board meeting of all things. 6 00:00:26,132 --> 00:00:28,987 We are in fact the only boardroom that works on May Day. 7 00:00:29,652 --> 00:00:32,731 I'm Adam Curry here in the heart of the Texas Hill Country and in 8 00:00:33,683 --> 00:00:35,259 The man who wants all your s- 9 00:00:40,027 --> 00:00:41,507 It's Johnny! 10 00:00:51,899 --> 00:00:53,603 - Chickens, I think that's what he means. 11 00:00:55,131 --> 00:00:56,547 You said that. I was like, hey. 12 00:00:58,843 --> 00:01:00,299 Alabama who owns 13 00:01:00,359 --> 00:01:01,039 You know. 14 00:01:01,543 --> 00:01:06,191 So we're talking about Pod News Weekly Review, also known as... 15 00:01:08,327 --> 00:01:09,807 With Sethi and the Criddler. 16 00:01:10,535 --> 00:01:11,183 Yeah. 17 00:01:13,927 --> 00:01:20,199 Cynthia and the Criddler. That sounds like a morning show. Cynthia and the Criddler. 18 00:01:20,199 --> 00:01:25,323 Coombs, Shetty, and the Criddler. Criddler, Criddler, Criddler, Criddler, Criddler. Criddler. 19 00:01:25,923 --> 00:01:26,731 Every week there's a new video. 20 00:01:30,339 --> 00:01:32,203 So I love my robot. 21 00:01:33,091 --> 00:01:35,915 Because I just tell my robot, robot. 22 00:01:36,675 --> 00:01:40,199 Go get me that clip from the Pod News Weekly Review. 23 00:01:40,451 --> 00:01:48,747 Did it? And it did, and here it is. I really like your show, James, but I wish you'd stop talking about Adam Curry. I love my robot. 24 00:01:49,699 --> 00:01:53,451 Did he say that on the show too? Yes, he did. Oh, okay. 25 00:01:53,955 --> 00:01:58,475 I have not touched editing software for three weeks. 26 00:02:00,291 --> 00:02:05,995 Editing? What do you mean editing software? You know, for making audio for clips. Yeah. 27 00:02:06,659 --> 00:02:11,243 So you don't even have to clean them up anymore? No, I just tell the robot, go get... 28 00:02:11,683 --> 00:02:12,939 Here's what I tell the robot. 29 00:02:13,571 --> 00:02:17,323 Go listen to that three-hour congressional testimony. 30 00:02:17,699 --> 00:02:19,299 Summarize it. 31 00:02:19,423 --> 00:02:22,183 Tell me what you think are some good bits. 32 00:02:22,879 --> 00:02:23,655 find 33 00:02:24,063 --> 00:02:25,063 story arc. 34 00:02:25,407 --> 00:02:28,359 Find the arcs within clips. Make the clips. Go. 35 00:02:30,175 --> 00:02:33,255 And then it drops it into my Obsidian folder. 36 00:02:33,855 --> 00:02:35,271 Neatly categorized. 37 00:02:35,999 --> 00:02:39,299 And, you know, it's not always perfect. 38 00:02:40,447 --> 00:02:43,079 But in general, it's pretty good. 39 00:02:43,615 --> 00:02:50,087 Yeah, but what about the audio, like the levels and stuff? Oh, no, it normalizes. This is all FFmpeg. 40 00:02:50,719 --> 00:02:59,499 Oh, yeah. It normalizes everything. All the things you would normally do. Everything I would normally do. And sometimes it has, you know, it'd be like, I don't know, someone on a phone call or... 41 00:02:59,911 --> 00:03:03,503 Just some muffled audio. I want to say, hey, robot, clean that up. 42 00:03:04,903 --> 00:03:07,023 And I do the... 43 00:03:07,399 --> 00:03:11,631 transcription with whisper but I do it on together.ai 44 00:03:12,231 --> 00:03:20,999 And it uses the biggest, baddest, mofo whisper model it has. Word for word, JSON pops out. 45 00:03:21,443 --> 00:03:27,915 So it can, you know, with frames all the way down to frame level, so it can cut exactly where you want it. Oh, yeah, it's awesome. 46 00:03:28,835 --> 00:03:31,947 It's saving me hours of time. 47 00:03:35,555 --> 00:03:38,923 Yes, Eric P.P. I've been using that on no agenda for the past... 48 00:03:39,715 --> 00:03:41,099 Yeah, four weeks maybe. 49 00:03:41,287 --> 00:03:42,319 Three, four weeks. 50 00:03:43,591 --> 00:03:49,839 I saw that Bloomberg article come out today, but I can't get to it because it's behind a paywall. Oh, I have a subscription. 51 00:03:50,663 --> 00:03:51,791 Do you have the link? 52 00:03:54,087 --> 00:04:01,799 I have a I have I got a subscription because the oil baron kept sending stuff to me like 53 00:04:02,275 --> 00:04:03,595 read what he's sending me. 54 00:04:04,771 --> 00:04:11,371 What does this subscribe today? I'm already subscribed, man. So you're the reason that Bloomberg still exists. 55 00:04:13,763 --> 00:04:15,787 I'll be the first to admit that, you know, 56 00:04:16,579 --> 00:04:21,699 Yes, I actually pay for content. I'm a horrible man that way. 57 00:04:21,855 --> 00:04:29,607 Let me see. Now I can't remember what her name is. Ashley? Yeah. Let me see. Is there a search here somewhere? 58 00:04:31,039 --> 00:04:38,759 Would it be under AI maybe? Here it is. The audio industry is grappling with the rise of pod slop. Can you... 59 00:04:39,199 --> 00:04:40,551 Can you post the link? 60 00:04:44,063 --> 00:04:47,367 subscriber always is subscribed I am a subscriber 61 00:04:48,991 --> 00:04:55,815 You're not enough of one. Oh, yeah. There's different levels of subscriber now. You need to be more of a subscriber. Let me see. 62 00:04:56,383 --> 00:05:01,999 even more do you have the link do you have a link yeah but my signal is opening and it's oh 63 00:05:01,999 --> 00:05:06,099 It says loading messages from seven days ago. Oh, you can't just pop it into the boardroom? 64 00:05:06,891 --> 00:05:08,595 There's a thought. 65 00:05:10,251 --> 00:05:11,059 Just saying. 66 00:05:12,203 --> 00:05:13,459 Come on. Come on, man. 67 00:05:14,987 --> 00:05:23,599 There it is. Thank you. There it is. Let's take a look. Welcome. It says undefined on the end, but this has nothing to do with Nathan Gathright, I promise. 68 00:05:24,459 --> 00:05:32,563 Let me see. Pod. Bloomberg. Bloomberg not again. Not again. Not in Nathan's property. The audio industry is grappling with the rise of Podslop. 69 00:05:33,707 --> 00:05:34,227 Slop. 70 00:05:34,859 --> 00:05:36,435 Are you able to read it? Yeah, I can. 71 00:05:36,779 --> 00:05:43,599 Welcome back to soundbite this week we take a look at the wave of ai generated podcast pod slop to some that's 72 00:05:43,627 --> 00:05:46,035 flooding the listening platforms. 73 00:05:46,923 --> 00:05:48,499 Okay, let me see. 74 00:05:50,507 --> 00:06:03,299 caught up uh that she stood oh on his own podcast last week dave jones d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d 75 00:06:03,327 --> 00:06:05,447 Operate it. 76 00:06:05,919 --> 00:06:08,711 No mention of you. Marveled at the scale. 77 00:06:10,143 --> 00:06:10,887 He said. 78 00:06:12,031 --> 00:06:20,231 Welcome to the modern era of podcasting, in which thousands of new shows are released into the world every day, with a sizable portion likely being AI-generated. 79 00:06:20,991 --> 00:06:23,299 That is true, by the way. Yes. 80 00:06:23,615 --> 00:06:26,471 So I got to, okay. 81 00:06:27,231 --> 00:06:28,391 Shoot me a copy of that. 82 00:06:29,887 --> 00:06:36,615 A copy of this? Yeah, yeah. Yeah, just that article because I'd like to read it. And I would like to read it without paying $11.99 a month. 83 00:06:37,311 --> 00:06:38,119 Yeah. 84 00:06:39,039 --> 00:06:44,099 I figure I'm entitled since I was quoted, right? Since you were quoted, yeah. I thought you were going to do this on background. 85 00:06:44,703 --> 00:06:48,679 Harry Pee Pee said the chicken guy? He's the chicken guy. 86 00:06:49,599 --> 00:06:57,479 Well, let's just start with that for a second because there were some – I thought the interview with Alberto from RSS.com. 87 00:06:58,591 --> 00:07:00,519 on power was pretty good. 88 00:07:01,023 --> 00:07:04,299 Yeah, me too. Alberto's just top. I mean, he's great. 89 00:07:04,455 --> 00:07:15,631 He's a top-notch dude. He does not give a bad interview, and he's just a genuinely good person. He's also like, I'm a scientist. Yeah, I would love to see him with the coat. 90 00:07:16,583 --> 00:07:18,063 coat and everything. 91 00:07:19,783 --> 00:07:21,775 So there were three clips that I pulled. 92 00:07:22,439 --> 00:07:23,375 because 93 00:07:24,327 --> 00:07:28,975 So RSS.com started with the opt-in. 94 00:07:29,767 --> 00:07:43,119 AI tag. So you can say it's, and I have, I use rss.com for a couple different things. So you can say it's fully AI generated, uses some AI elements, or you can just not do anything, which as he rightly says is also a signal. 95 00:07:43,687 --> 00:07:44,299 Right. 96 00:07:45,063 --> 00:07:55,567 And I realized I'd been thinking about this tag incorrectly because I kind of thought, well, you know, if you're doing AI, you know, and you don't want anyone to know, you're not going to fill out this stupid tag. 97 00:07:55,943 --> 00:08:00,911 So this clip kind of set me straight. But there's no policing of that either from Apple. 98 00:08:01,511 --> 00:08:04,299 Should we be less voluntary to... 99 00:08:04,299 --> 00:08:21,263 disclosure and more a mandatory disclosure? Well, that's the point. The disclosure is voluntary in the sense that you have an element when you are uploading an episode where you can specify whether the podcast contains elements of AI. 100 00:08:21,639 --> 00:08:24,699 We'll get there later. You need some guidelines there. 101 00:08:24,727 --> 00:08:44,399 Because elements can be anything. But the voluntary disclosures paired to internal policies at Apple, for example, in the platforms or even institutions, can become mandatory because if you are in breach with Apple terms of service because you didn't disclose, then... 102 00:08:44,555 --> 00:09:04,499 they can act. So the nuance of non-disclosing, once there is a disclosure and you are required to do that, even if it's voluntary, if you don't do that, then you are in breach. So there could be an action taken. That's where I think the detail is very important. So an episode which is generated by AI that should be disclosed, AI voice, AI script. 103 00:09:04,655 --> 00:09:24,599 no curation, it's in English or it's in Spanish and you get English prompts from an LLM. That is made by AI. If you don't disclose, someone removes the episode and I think they have the right to do so depending on the platform service and terms and conditions. So now I understood. Okay, that makes sense to me. 104 00:09:25,043 --> 00:09:28,475 Like if someone says, hey, this is a piece of slop. 105 00:09:29,075 --> 00:09:33,051 And they go to rss.com and say, hey, this is slop. And they go and look and... 106 00:09:33,427 --> 00:09:43,195 it wasn't disclosed, then you violated their terms. They can kick you off. So from the hosting company's perspective, great idea. 107 00:09:43,923 --> 00:09:49,243 That made sense. I never really thought of it that way. It's like, who cares, you know, if you're going to signal it to me as slop or not. 108 00:09:49,811 --> 00:09:52,571 or AI generated. So that... 109 00:09:53,075 --> 00:09:58,331 And yes, Alberto has a PhD in artificial intelligence, I think. 110 00:09:59,059 --> 00:10:02,599 or he has a PhD in something that includes artificial intelligence. 111 00:10:02,755 --> 00:10:23,099 So he really wants to make this work. So I thought that was good. Then he said something which, of course, I knew he was talking about me. People are barking in this period, you know. They're just saying, that's a problem. We have to solve it. It's about money and advertisement. But really, if we disclose, we follow regulations and we, together, as an industry. 112 00:10:23,319 --> 00:10:29,791 go towards the same direction, this is a problem that can't be solved, really. Yes, that would be me barking. 113 00:10:30,199 --> 00:10:34,591 And the reason why I'm barking about that is because... 114 00:10:36,247 --> 00:10:41,023 It is a scam. And I just want to explain the scam. And I'm sure everyone realizes it. 115 00:10:41,783 --> 00:10:43,299 Because there's two sides to the scam. 116 00:10:43,359 --> 00:10:46,055 One side is you just have. 117 00:10:46,815 --> 00:11:00,487 a bot, a large language model, a bot, create podcasts, create episodes. The scam is that you have advertisements to typically pre-roll. The scam is on the listening side. Go look at the numbers at Livewire. 118 00:11:01,375 --> 00:11:03,199 The amount of browser traffic 119 00:11:03,199 --> 00:11:07,203 Traffic has increased. There's so much scammy stuff going on. 120 00:11:07,643 --> 00:11:09,187 with downloads 121 00:11:09,787 --> 00:11:18,659 that this is where, and it's no, as JCD would say, no sweat off my balls, but it is going to affect advertising. 122 00:11:19,611 --> 00:11:24,599 So it may be a little win in the short term and the platforms do make some money off of that. 123 00:11:24,915 --> 00:11:40,987 You know, it could be hundreds, thousands of dollars a month. I don't think it's huge yet. It could be bigger. But advertisers are eventually going to say, wait a minute, you have these things automatically created. And then you have on the other side, you have these things that are automatically listening. That's stealing money. 124 00:11:42,131 --> 00:11:44,599 So yeah, I'll bark about that a little bit. 125 00:11:45,491 --> 00:11:50,203 The digital advertising business has proved – 126 00:11:51,027 --> 00:11:52,731 Completely inept. 127 00:11:53,683 --> 00:11:54,491 over 128 00:11:56,531 --> 00:11:58,747 25 years now? 129 00:11:59,315 --> 00:12:00,795 at combating 130 00:12:01,523 --> 00:12:04,399 All of the things that we know that are going on that are 131 00:12:04,399 --> 00:12:07,059 scams. Yes. I mean, click fraud. 132 00:12:07,403 --> 00:12:10,547 is just as prevalent today as it was 25 years ago. 133 00:12:11,243 --> 00:12:13,907 And so, and there's never been. 134 00:12:14,923 --> 00:12:16,179 comprehensive 135 00:12:17,227 --> 00:12:21,011 you know, like a battle against that. Like it's just. 136 00:12:21,387 --> 00:12:24,299 Part of it, I mean, I think part of it is because Google. 137 00:12:24,423 --> 00:12:29,551 owns 90% of the digital advertising market. So it's sort of... 138 00:12:30,599 --> 00:12:32,271 A lot of it's obfuscated. 139 00:12:33,799 --> 00:12:37,999 Digital advertising fraud is not... 140 00:12:38,855 --> 00:12:39,951 You know, that's... 141 00:12:40,647 --> 00:12:42,191 Like one of the... 142 00:12:43,079 --> 00:12:43,799 the 143 00:12:43,955 --> 00:12:45,787 The scan, and it doesn't even have... 144 00:12:46,259 --> 00:12:49,275 It doesn't have to be – I think back to – 145 00:12:50,227 --> 00:12:52,699 Spotify a few years ago. 146 00:12:53,075 --> 00:12:54,651 There was these stories. 147 00:12:55,571 --> 00:13:03,003 about streamers and this was actual organized fraud where there were people running like 148 00:13:03,911 --> 00:13:11,439 of cell phones, like 200 cell phones streaming all day long of different Spotify, you know, different Spotify. 149 00:13:12,135 --> 00:13:16,495 songs in order to boost streaming downloads so that they could boost 150 00:13:17,127 --> 00:13:20,207 You know, you could essentially buy these fake streams. 151 00:13:20,743 --> 00:13:23,199 And now that's just flat out. 152 00:13:23,227 --> 00:13:24,675 Absolutely fraudulent. 153 00:13:26,747 --> 00:13:27,555 The... 154 00:13:30,331 --> 00:13:32,675 So they were people. 155 00:13:33,371 --> 00:13:37,155 who had music on Spotify, who were buying those. 156 00:13:37,947 --> 00:13:43,099 stream in streams, increase my stream services and defrauding Spotify. 157 00:13:43,319 --> 00:13:46,751 and therefore the music companies. This is a little different. 158 00:13:47,511 --> 00:13:48,223 Because... 159 00:13:48,919 --> 00:13:52,991 The way streams are in the music world. 160 00:13:54,391 --> 00:13:56,447 are all first party. 161 00:13:57,719 --> 00:13:59,263 There's no... 162 00:14:00,151 --> 00:14:03,099 There's no way you can listen to a story. 163 00:14:03,099 --> 00:14:05,951 stream of music and not be logged into something. 164 00:14:06,455 --> 00:14:07,391 with an account. 165 00:14:08,695 --> 00:14:15,871 And so all the data, the advertising, all that stuff is all in line in a first-party context. 166 00:14:17,143 --> 00:14:18,847 Podcasting is different. 167 00:14:19,575 --> 00:14:22,199 Podcasting is completely... 168 00:14:22,355 --> 00:14:24,827 unregulated and open in that way. 169 00:14:25,395 --> 00:14:31,707 So anybody can come along and download an episode of your podcast. 170 00:14:32,371 --> 00:14:35,771 And you have to sort of figure out after the fact. 171 00:14:36,275 --> 00:14:38,043 What that thing was... 172 00:14:38,675 --> 00:14:42,599 Where did it actually come from? Was it a real person? 173 00:14:43,395 --> 00:14:48,875 Maybe. What was the device? You don't... You really don't know. This is true. 174 00:14:49,795 --> 00:14:59,659 But I think that it's solvable. It's not actually an AI problem. All that this has been going on since advertising started in podcasting, fake downloads. 175 00:15:00,003 --> 00:15:01,299 And there's lots of... 176 00:15:01,455 --> 00:15:07,063 filters and heuristics and ways that people can figure it out. Can they figure it all out? No, absolutely not. 177 00:15:07,887 --> 00:15:13,623 I'd say home-based routers are probably the number one place where this is taking place and people don't even know it. 178 00:15:14,671 --> 00:15:20,311 There's entire bot networks that take over home routers to do stuff like this. 179 00:15:21,023 --> 00:15:29,159 The solvability is in how we as a group of crazy people decide to. 180 00:15:30,367 --> 00:15:38,695 hand over first party data, which is, you know, it's possible. So it's not something we're going to solve. I'm just saying, once again, 181 00:15:39,039 --> 00:15:40,699 The metric that is used 182 00:15:40,699 --> 00:15:43,359 for podcast advertising is poor. 183 00:15:43,767 --> 00:15:44,831 It's poor. 184 00:15:45,175 --> 00:15:48,639 And we could do better, but will anybody? I don't know. 185 00:15:49,559 --> 00:15:51,743 So it's, it's just the, it. 186 00:15:52,311 --> 00:15:54,175 I guess what I'm trying to say, though, is that... 187 00:15:56,599 --> 00:16:01,299 this i'm gonna put scam in quotes because scam implies that 188 00:16:01,583 --> 00:16:08,407 somebody's doing something illegal and I, and I'm, I think this is all squishy. And so that's not what I'm saying, but. 189 00:16:09,039 --> 00:16:10,743 the sort of download 190 00:16:11,951 --> 00:16:20,023 Art of if you want to boost your downloads of your podcast artificially and I honestly I ought to do this one time. I ought to do this someday. 191 00:16:20,891 --> 00:16:41,199 Maybe soon. We should go do one of these download boosting things and just see what happens. Because we're on OP3. We could see it. We could see the effect of it. In fact, I am going to do this. So in the next few episodes, I'm going to sign up for one of these download boosting services. 192 00:16:41,199 --> 00:16:43,443 like Mopod or one of these. 193 00:16:44,139 --> 00:16:44,755 N. 194 00:16:45,515 --> 00:16:47,987 you'll get your, you know, you get a bump. 195 00:16:48,555 --> 00:16:50,131 In your downloads. 196 00:16:51,371 --> 00:16:56,659 Isn't this magic? That's magic, right? Isn't this magic? Yeah. 197 00:16:57,547 --> 00:16:59,059 Because... 198 00:17:00,683 --> 00:17:01,299 So... 199 00:17:01,647 --> 00:17:05,559 There's ways to boost your download numbers. 200 00:17:06,767 --> 00:17:08,119 In podcasting. 201 00:17:08,975 --> 00:17:21,799 That do not involve botnets of router armies doing fake downloads. Of course. I agree with what you're saying. But it's not fake downloads, but it's still... 202 00:17:22,147 --> 00:17:25,995 These are, there's this gray area in the middle where it's. 203 00:17:26,435 --> 00:17:28,139 It's not fraud. 204 00:17:29,027 --> 00:17:35,595 But it's not real people interested in your podcast. It's a squishy middle. 205 00:17:36,259 --> 00:17:40,139 where you're getting downloads in ways that are just like... 206 00:17:40,987 --> 00:17:43,491 People not listening. People not listening. 207 00:17:43,931 --> 00:17:53,859 Right. Very temporary. But the thing that we used to have, you had to at least create a podcast. Now you can create 300 podcasts a day. 208 00:17:54,811 --> 00:17:58,595 That's the fraud part. So it's just, look. 209 00:17:58,939 --> 00:18:00,899 Again, it doesn't matter to me. 210 00:18:01,695 --> 00:18:05,031 But advertisers at a certain point will say... 211 00:18:06,367 --> 00:18:15,783 You know, this podcasting stuff, it's just too squishy. It's no sweat off my balls. So, you know. 212 00:18:16,351 --> 00:18:20,167 Yeah, that. Yeah, so I'm just saying. 213 00:18:20,691 --> 00:18:22,939 We're talking around the problem. 214 00:18:23,315 --> 00:18:25,243 Well, but see, so. 215 00:18:27,315 --> 00:18:27,899 Mark. 216 00:18:28,691 --> 00:18:32,379 C-Loss on Linux said he boosted. 217 00:18:32,947 --> 00:18:33,787 Bark for me. 218 00:18:34,323 --> 00:18:37,243 Three nine nine six sats. Thank you. 219 00:18:37,747 --> 00:18:39,799 Salty crap, like Tucson Dental Care. Yeah. 220 00:18:40,051 --> 00:18:42,043 Tucson Dental Care. 221 00:18:42,451 --> 00:18:47,355 The pod spammer extraordinaire, evidently. Yeah, that's amazing. Dozens of them. 222 00:18:48,115 --> 00:18:52,987 All over the place, by the way. Transform your smile with Tucson Dentist! 223 00:18:53,395 --> 00:19:00,899 Yeah, and you get that thing right into Apple Podcasts. So now you have SEO from an Apple.com domain. 224 00:19:01,119 --> 00:19:05,735 Which you've won the digital Olympics. 225 00:19:06,175 --> 00:19:19,111 And so, yeah, this is – and they're on every host. They're spread out. Somebody is doing this. Yeah. I don't know who it is, but somebody is doing this. And there's a difference between – 226 00:19:20,811 --> 00:19:26,419 Let me see if I can find it. Let's do show and tell. All right, show and tell, everybody. 227 00:19:32,395 --> 00:19:35,923 Oh, here we go. Top dental crown, Tucson for perfect smiles. 228 00:19:37,003 --> 00:19:38,931 Okay, so there's a difference between... 229 00:19:39,339 --> 00:19:40,399 This. 230 00:19:44,075 --> 00:19:47,123 Podcast index ID 7747008. 231 00:19:48,299 --> 00:19:52,947 that is protect and preserve your damaged or weakened teeth with a custom crafted dental crown. 232 00:19:53,323 --> 00:19:55,539 By author GKY74. 233 00:19:56,267 --> 00:19:56,787 But 234 00:19:57,835 --> 00:19:59,635 And then something like. 235 00:20:03,851 --> 00:20:05,203 Phoenix, let me see. 236 00:20:13,867 --> 00:20:16,819 This is podcast index ID. 237 00:20:18,571 --> 00:20:20,399 587-6525. 238 00:20:20,651 --> 00:20:22,419 Oh, I may have to listen to it now. 239 00:20:23,275 --> 00:20:27,155 Is there actual audio? Let me see. I'm sure there is, yeah. 240 00:20:28,299 --> 00:20:29,587 Ooh, ominous. 241 00:20:30,411 --> 00:20:37,427 Which one is this? This is drop-top-drop-top-beamer. Hello everybody, welcome back to another episode. No, that sounds like a real podcast, Dave. 242 00:20:37,899 --> 00:20:39,667 Yeah, that's what I'm saying. 243 00:20:40,107 --> 00:20:40,499 Here's... 244 00:20:40,623 --> 00:20:41,879 Here's the difference. 245 00:20:43,791 --> 00:21:00,099 title of this podcast in the title field of the xml oh i see it phoenix auto detailing llc well i mean is that is that a problem it's not a problem and that's my point yeah one of them is for is a dentist in tucson 246 00:21:00,575 --> 00:21:04,935 The other one is an auto detailer in Phoenix. Yeah. 247 00:21:05,695 --> 00:21:20,599 But the two, so both are local business advertising essentially, but one of them is just purely a placeholder for SEO and nothing else. Right. The other one is an actual podcast. Yes, it is a branded podcast. 248 00:21:20,599 --> 00:21:27,675 for a local business, but that's fine. Nothing wrong with that, no. Nothing wrong with it. They're actually doing a show. Yeah. 249 00:21:28,147 --> 00:21:39,483 The other thing is just using the podcasting ecosystem platforms as a way to get backlinks into search engine ranking. Yes, right. 250 00:21:40,815 --> 00:22:00,899 I consider one of these completely legitimate and one of them abuse. One of them is platform abuse. On the dentistry, so I just want to warn that we don't go down a certain path because this also came up in power. If you are an independent content producer, you are being swamped by these slopcasts. 251 00:22:01,247 --> 00:22:17,063 And by people that frankly don't care about you, they don't care about the audience, they don't care about anything other than can we make another £2.20 by fooling people that this is a real human being or even worse, by calling someone a doctor. 252 00:22:17,567 --> 00:22:20,999 A spam voice. Oh, yes. But calling them a doctor. 253 00:22:21,475 --> 00:22:27,275 and giving medical advice, which may or may not have even been checked by a human being. 254 00:22:27,875 --> 00:22:38,763 Terrifying. Absolutely terrifying. Don't go down that path because now you're talking about something different. And there's a lot of doctors who will kill you with their advice who are human beings. 255 00:22:39,267 --> 00:22:41,199 So don't go down that path. 256 00:22:42,283 --> 00:22:44,627 I think that's the wrong way to look at it. 257 00:22:45,803 --> 00:22:49,875 I agree with this, maybe with a little bit of a different twist. 258 00:22:50,955 --> 00:23:02,399 I know what you're saying. You're saying that's the truth. Don't trust Fauci is what I'm saying. Yeah, that's the censorship. That's like now you're being in your editorial office. Yes. 259 00:23:03,067 --> 00:23:04,163 But... 260 00:23:05,915 --> 00:23:09,059 I want to make a different point about that, which is... 261 00:23:09,979 --> 00:23:15,907 I think I understand why he's saying that. And it is he it's a legitimate concern because. 262 00:23:16,699 --> 00:23:21,283 You're really calling your AI. 263 00:23:22,075 --> 00:23:22,499 boosts. 264 00:23:23,647 --> 00:23:27,751 a doctor is, it's kind of over the top. I mean, that's crazy. 265 00:23:28,575 --> 00:23:29,959 But I think... 266 00:23:30,687 --> 00:23:35,175 I would be careful about using that too much as our example. Yes. 267 00:23:35,775 --> 00:23:36,903 Because it gets the... 268 00:23:37,439 --> 00:23:42,499 The eye off sort of the bigger issue. Yes. 269 00:23:43,839 --> 00:23:51,239 I don't want to get too focused on things like that because it's the bigger problem, I think, is what he said at the beginning. 270 00:23:51,711 --> 00:23:52,391 Which is... 271 00:23:52,863 --> 00:23:55,815 The slop is overwhelming. 272 00:23:57,023 --> 00:23:57,959 the system. 273 00:23:58,623 --> 00:23:59,847 And the system-- 274 00:24:00,575 --> 00:24:02,599 This is what I say, what I call it, you know. 275 00:24:02,883 --> 00:24:06,059 We've always said there is no podcast industry, and I still believe that. 276 00:24:06,563 --> 00:24:10,571 What the podcast, quote unquote, podcast industry is. 277 00:24:12,355 --> 00:24:16,651 is just a sort of a meta narrative on top of just a bunch of... 278 00:24:17,187 --> 00:24:19,211 hosting providers and 279 00:24:19,811 --> 00:24:22,099 XML and things like that. 280 00:24:22,127 --> 00:24:28,023 We create this idea of there being an industry over the top of just a bunch of stuff. 281 00:24:29,263 --> 00:24:30,071 And so... 282 00:24:30,447 --> 00:24:32,727 I still agree with that. 283 00:24:33,711 --> 00:24:34,167 But... 284 00:24:35,695 --> 00:24:37,335 There is... 285 00:24:38,863 --> 00:24:42,099 There is a distribution system. 286 00:24:42,575 --> 00:24:44,663 that is in place that's 287 00:24:45,711 --> 00:24:50,423 like Apple Podcasts, like Podcast Index, like, you know, 288 00:24:52,815 --> 00:24:54,679 Pucket casts, you know, the... 289 00:24:55,183 --> 00:24:56,983 Everybody who has a directory... 290 00:24:58,639 --> 00:25:00,695 created their directory Listen Notes. 291 00:25:01,655 --> 00:25:05,471 created the directory with a certain idea in mind. 292 00:25:06,295 --> 00:25:07,519 that there was. 293 00:25:08,471 --> 00:25:11,327 a thing that was called podcasting. 294 00:25:13,431 --> 00:25:14,079 and 295 00:25:14,647 --> 00:25:19,583 We could sort of inventory that thing and display it back. 296 00:25:20,375 --> 00:25:21,499 to the world. 297 00:25:21,719 --> 00:25:23,231 through podcast apps. 298 00:25:23,607 --> 00:25:27,647 As a way to find the content that people are looking for. Yeah. 299 00:25:28,791 --> 00:25:29,663 And I've tried. 300 00:25:30,103 --> 00:25:37,663 I've tried to shift. This is difficult and I'm still not successful at it, but I've tried to mentally shift. 301 00:25:38,455 --> 00:25:40,063 from the standpoint of 302 00:25:40,791 --> 00:25:43,231 We're going to find every single podcast. 303 00:25:44,311 --> 00:25:47,903 meaning every XML with an enclosure in it. 304 00:25:49,015 --> 00:25:51,423 to something slightly different, which is... 305 00:25:52,215 --> 00:25:57,055 We want to have a copy of every podcast that somebody would ever look for. 306 00:25:59,639 --> 00:25:59,999 If you're... 307 00:25:59,999 --> 00:26:04,195 If somebody wants to find it, they should be able to find it on the podcast index. 308 00:26:04,635 --> 00:26:05,123 Okay. 309 00:26:06,683 --> 00:26:09,187 That doesn't mean that we're only going to have that. 310 00:26:10,043 --> 00:26:15,683 But to me, that's my, what I'm trying to shift mentally into that as my baseline. 311 00:26:16,283 --> 00:26:18,531 Because if nobody ever wants a thing, 312 00:26:19,187 --> 00:26:21,115 then it might as well not even exist. 313 00:26:21,843 --> 00:26:29,467 It's sort of like the tree falling in the woods. It's sort of an irrelevant question about whether you have it. 314 00:26:30,419 --> 00:26:32,059 if nobody ever wants it. 315 00:26:33,459 --> 00:26:34,011 And 316 00:26:35,059 --> 00:26:38,999 I think we're going to have to, in order to accomplish that goal, 317 00:26:39,219 --> 00:26:42,043 We always have and we always will have to. 318 00:26:42,739 --> 00:26:45,371 have way more content. 319 00:26:46,451 --> 00:26:54,747 in the index than anybody would ever want. The question is, how do you get it when someone wants it? How do you surface what they want? 320 00:26:55,699 --> 00:26:58,099 And that's part of what we... 321 00:26:58,223 --> 00:27:00,983 You know, we already have a facility in place for that, and that's... 322 00:27:01,583 --> 00:27:05,111 When somebody searches for something on the podcast index. 323 00:27:06,575 --> 00:27:07,383 hourly 324 00:27:08,623 --> 00:27:12,343 We go back and we look for things people searched for. 325 00:27:12,879 --> 00:27:14,263 that were missed. 326 00:27:15,663 --> 00:27:17,899 So if somebody searched for something, 327 00:27:17,927 --> 00:27:21,679 a feed URL or an iTunes ID or something like that. 328 00:27:22,535 --> 00:27:23,855 and it didn't show up. 329 00:27:24,487 --> 00:27:27,215 We didn't have it. We will go get it. 330 00:27:27,719 --> 00:27:34,959 So we sort of backfill behind people searching for things and those searches not showing up any results. 331 00:27:35,463 --> 00:27:38,199 How does that process work, the backfill? 332 00:27:39,187 --> 00:27:47,035 Well, if it's a feed URL and we don't have it, we go find it. It just gets it. It just gets added. Yeah. If it's an iTunes ID, it gets resolved. 333 00:27:48,499 --> 00:27:49,083 added. 334 00:27:50,419 --> 00:27:52,859 Would I would like to I'd like to go even further. 335 00:27:53,267 --> 00:27:56,411 I can't find a real sane way to do it yet, but I would love to go. 336 00:27:57,107 --> 00:27:57,499 and 337 00:27:57,559 --> 00:28:03,839 try to figure out if something looks like an exact title and then go really do searching across various. 338 00:28:05,111 --> 00:28:07,615 repositories and try to find that thing. 339 00:28:08,183 --> 00:28:10,399 But we backfill a lot. 340 00:28:12,247 --> 00:28:15,327 We do that a lot. 341 00:28:16,535 --> 00:28:17,499 I think the... 342 00:28:17,719 --> 00:28:19,615 You know, the point. 343 00:28:20,279 --> 00:28:20,991 It's like, what? 344 00:28:21,623 --> 00:28:23,391 What even is the point of us? 345 00:28:23,831 --> 00:28:26,943 Now, now you're talking. Why am I even here? 346 00:28:28,215 --> 00:28:31,967 On my Friday afternoon. There's many other things I could do. 347 00:28:33,559 --> 00:28:34,783 I mean, are we... 348 00:28:35,511 --> 00:28:36,999 Are we an API? 349 00:28:37,123 --> 00:28:48,747 For app developers, are we a research tool? Are we a utility for the hosting companies? Are we a shim for tags, a spam filter, an XML catalog of audio? 350 00:28:50,691 --> 00:28:57,599 We have message bus. Well, well. Right now, we're all of that. Yes. But the genesis of it. 351 00:28:58,747 --> 00:29:02,371 that the genesis of this project, we'll just call it a project. 352 00:29:02,843 --> 00:29:08,195 is that every single independent developer was looking at the Apple database. 353 00:29:08,795 --> 00:29:10,851 And that was the source of truth. 354 00:29:11,259 --> 00:29:14,339 because there's just too much out there to store it all in your app. 355 00:29:15,131 --> 00:29:16,067 And... 356 00:29:17,191 --> 00:29:20,655 Apple decided to take things out that they didn't like. 357 00:29:21,415 --> 00:29:23,087 That's the genesis of the project. 358 00:29:23,879 --> 00:29:28,751 And then part two of the project was, well, since we're here anyway. 359 00:29:29,511 --> 00:29:37,099 Why don't we extend RSS and build a namespace? Which, according to Rob Greenlee, is fringe and no one cares. 360 00:29:38,759 --> 00:29:39,311 Yeah. 361 00:29:39,751 --> 00:29:43,727 Rob Greenlee is off the chain. 362 00:29:44,775 --> 00:29:55,699 Okay, whatever, Rob. Even the Criddler defended us on that one. That was appreciated. Yeah, that was appreciated. Rob's lost his mind. 363 00:29:55,887 --> 00:29:56,695 We're not doing video- 364 00:29:58,927 --> 00:30:02,903 Has anybody checked Rob's medication? 365 00:30:07,439 --> 00:30:10,039 I like what we've become. 366 00:30:10,607 --> 00:30:13,783 I like that we're this universal resource that is... 367 00:30:14,783 --> 00:30:17,255 I think also universally appreciated. 368 00:30:17,855 --> 00:30:23,335 and used by many different constituencies for many different things. 369 00:30:24,191 --> 00:30:25,063 Um... 370 00:30:25,887 --> 00:30:29,735 But the ability to become a better... 371 00:30:30,431 --> 00:30:34,399 discovery slash search slash recommendation engine. 372 00:30:34,491 --> 00:30:36,323 would be something incredible. 373 00:30:41,627 --> 00:30:44,067 Yeah, yeah, I mean, like... 374 00:30:45,211 --> 00:30:48,739 I feel definitely that we're going to have to... 375 00:30:50,235 --> 00:30:54,399 weather the current storm to a degree. 376 00:30:55,355 --> 00:30:57,731 According to Bloomberg, you're the guy, so. 377 00:30:58,843 --> 00:31:06,659 chicken guy the chicken guy the chicken guy some dude in alabama with chickens runs that thing man 378 00:31:08,219 --> 00:31:14,499 Just saying. We're all going to have to wait. And it's not just us. You can see this. 379 00:31:14,527 --> 00:31:25,895 coming a mile away it's it's not you could see this coming at the end of last year it's not just us it's github yes yeah exactly i mean github is what the latest numbers i saw 380 00:31:26,335 --> 00:31:28,839 this week was that GitHub 381 00:31:29,471 --> 00:31:33,191 has had a 14x increase. 382 00:31:33,599 --> 00:31:34,299 and commit. 383 00:31:34,711 --> 00:31:35,391 Oh wow. 384 00:31:35,863 --> 00:31:36,831 Oh man. 385 00:31:37,623 --> 00:31:40,127 How does anybody absorb that much traffic? 386 00:31:41,111 --> 00:31:42,879 That's a great question. 387 00:31:45,015 --> 00:31:50,687 Really, we're at a particular moment in time. 388 00:31:51,191 --> 00:31:52,127 where 389 00:31:53,623 --> 00:31:54,399 This stuff's 390 00:31:55,515 --> 00:31:58,723 We're not prepared. We were not prepared for the slop. 391 00:32:00,347 --> 00:32:06,595 know slop apocalypse for the slaw pop nobody was it's not just podcasting nobody was prepared for this 392 00:32:07,195 --> 00:32:07,651 and 393 00:32:10,971 --> 00:32:12,707 I listened to a good, uh, 394 00:32:14,259 --> 00:32:16,315 interview last night with 395 00:32:17,043 --> 00:32:18,619 The guy that created the. 396 00:32:19,283 --> 00:32:24,859 pie AI coding agent. Don't know if you're familiar with this. No, I'm not. I'm not. 397 00:32:25,427 --> 00:32:28,763 So it's what OpenClaw is based on. Okay. 398 00:32:29,491 --> 00:32:33,399 My understanding is OpenClaw just took Pi and... 399 00:32:33,651 --> 00:32:37,915 forked it and it became open claw. Oh, interesting. 400 00:32:38,323 --> 00:32:41,819 So Pi is like open code, but... 401 00:32:42,483 --> 00:32:49,371 It's less opinionated. It's highly customizable. I really want to try it. It sounds like a cool thing. 402 00:32:50,035 --> 00:32:52,507 But the creator of Pi... 403 00:32:53,423 --> 00:32:54,423 was saying that 404 00:32:57,199 --> 00:33:02,231 They had a real in-depth discussion about just what has been happening. 405 00:33:03,087 --> 00:33:13,899 with all of this. And he said that he immediately closes all pull requests that come from an AI agent. Just immediately. He doesn't even look at them. 406 00:33:14,471 --> 00:33:16,527 It's just auto, he just auto closes it. 407 00:33:17,639 --> 00:33:19,343 And he has a... 408 00:33:20,263 --> 00:33:21,103 basically a 409 00:33:21,575 --> 00:33:23,087 an allow list 410 00:33:23,655 --> 00:33:33,699 In a file in his repository, and it's like unless your GitHub name is on his list, you can't open a pull request. 411 00:33:33,823 --> 00:33:35,175 without it being auto closed. 412 00:33:35,647 --> 00:33:40,423 And so it's like this, he uses it as a sort of filter, and like if you contact him... 413 00:33:40,959 --> 00:33:48,743 in an out of band way and he knows who you are, you get on the list and now you can do pull requests. 414 00:33:49,727 --> 00:33:50,215 and 415 00:33:51,327 --> 00:33:53,699 It's just this idea. 416 00:33:53,699 --> 00:33:56,711 then that's the creator of one of these tools you know 417 00:33:57,855 --> 00:33:58,439 Um... 418 00:33:59,711 --> 00:34:05,255 I mean, even the creator of one of these prominent tools is having to put a whitelist in place in order to keep... 419 00:34:05,823 --> 00:34:07,975 this stuff to be manageable. 420 00:34:08,799 --> 00:34:09,383 And. 421 00:34:10,207 --> 00:34:11,559 I think we're... 422 00:34:12,831 --> 00:34:13,699 Does that make- 423 00:34:13,759 --> 00:34:19,175 And here's the issue. There's going to have to be some grace given. 424 00:34:20,095 --> 00:34:20,711 cause. 425 00:34:21,183 --> 00:34:21,895 This 426 00:34:24,447 --> 00:34:27,271 We are humans trying to deal. 427 00:34:27,999 --> 00:34:30,151 with an automated onslaught. 428 00:34:31,583 --> 00:34:32,295 content. 429 00:34:34,079 --> 00:34:41,447 And we are going to get some of it wrong. And that's what he was saying. He was like, look, there's probably some pull requests. 430 00:34:42,303 --> 00:34:45,255 that gets sent to the Pi repo. 431 00:34:45,759 --> 00:34:48,231 that are actually really good. 432 00:34:48,735 --> 00:34:52,775 and they would fix real problems, and we should merge it. 433 00:34:53,655 --> 00:34:57,887 but I can't do it because I do not have time to review. 434 00:34:58,295 --> 00:35:00,223 300 pull requests a week. 435 00:35:00,663 --> 00:35:06,623 can't do it. And so all the good stuff is also going to get cut is going to get. 436 00:35:07,255 --> 00:35:12,095 thrown out the baby's going to get thrown out with the bath water in some circumstances 437 00:35:12,567 --> 00:35:14,099 I heard somebody... 438 00:35:14,703 --> 00:35:18,359 You know, I think, I can't remember who this was, but I heard somebody a long time ago say... 439 00:35:19,279 --> 00:35:22,391 If you put on white gloves and go and work out in the garden, 440 00:35:22,991 --> 00:35:26,391 The garden doesn't get more glovey. 441 00:35:27,503 --> 00:35:29,783 No, those, you're going to get dirty. 442 00:35:30,447 --> 00:35:32,999 And that's what's going to happen. 443 00:35:33,123 --> 00:35:42,603 And I think that's the point James was trying to make when he said that everybody was, that real podcasters are getting overwhelmed with a wave of slop. 444 00:35:44,099 --> 00:35:46,475 This is going to dirty us all up. 445 00:35:47,203 --> 00:35:49,067 as this process unfolds. 446 00:35:49,987 --> 00:35:51,179 And so the grace 447 00:35:52,483 --> 00:35:53,599 is going to have to be. 448 00:35:54,491 --> 00:36:00,387 Let's not start calling and telling each other, let's not start complaining that we're doing censorship and all this kind of thing. 449 00:36:01,083 --> 00:36:03,843 We're trying the best we can to deal with this. 450 00:36:06,363 --> 00:36:13,699 There's going to be mistakes as we go through this process. There's going to be a mess. But this truly is a new thing that we've never seen before. 451 00:36:14,719 --> 00:36:20,007 And so it's going to take time to figure out how to deal with it properly. You know what I also think? 452 00:36:20,383 --> 00:36:21,959 I think this may be temporal. 453 00:36:22,815 --> 00:36:26,119 This, this, uh, right now we're in this mode of 454 00:36:27,231 --> 00:36:30,599 Look at all the stuff I can do. What shall I do? Oh, I'll do this. 455 00:36:31,647 --> 00:36:32,775 You know what I mean? It's like... 456 00:36:33,579 --> 00:36:52,627 People haven't quite used their imagination. Like, okay, so I have this capability, whether it's OpenClaw or Pi, or maybe it's just Claude code or OpenCode. I can do all this stuff with my computer. I can tell my computer to do stuff. This is the dream. 457 00:36:53,451 --> 00:36:57,683 This is what we've, I've been watching this since I was five years old. Computer. 458 00:36:58,123 --> 00:37:02,067 Do this. Computer, tell me about this. Computer. 459 00:37:02,603 --> 00:37:05,875 Write me a Word document, computer, all these things. 460 00:37:06,923 --> 00:37:10,611 And I think where the energy will flow eventually. So, again. 461 00:37:11,083 --> 00:37:12,799 I mean, I don't know if it's 462 00:37:13,243 --> 00:37:21,635 lucrative to be doing this podcast round robin I think it's cool you know I can see where people look at all these podcasts I've created it's amazing 463 00:37:22,203 --> 00:37:31,043 But that will wear off and the money will taper off for a whole bunch of different reasons. The industry will kind of start to figure this out. We'll work through that. 464 00:37:31,835 --> 00:37:32,399 But 465 00:37:32,399 --> 00:37:34,611 But what's happening is something. 466 00:37:35,691 --> 00:37:50,483 I think much bigger. And I'm trying to, I've already made that leap. You know, I'm using this now for my production in ways I never imagined possible. My computer is actually working for me, doing things I used to do by hand. 467 00:37:50,923 --> 00:37:52,299 And when people start 468 00:37:52,299 --> 00:37:55,087 to figure that out, I think we'll have a shift. 469 00:37:55,591 --> 00:38:01,615 that may be so dramatic that your phone might not even have as many apps. 470 00:38:02,919 --> 00:38:12,299 Your phone will just do things you tell it to do. It'll have input with voice and output with text, voice, and video. You may not be, you know, copy-paste. 471 00:38:12,743 --> 00:38:15,023 That's for pussies. We're never going to do that again. 472 00:38:15,783 --> 00:38:16,367 Ever. 473 00:38:16,935 --> 00:38:20,623 Ever. Send this to Dave. 474 00:38:20,967 --> 00:38:24,527 Get the text of this Bloomberg article, send it to Dave. 475 00:38:25,255 --> 00:38:29,007 I think that creativity hasn't quite sparked yet. 476 00:38:29,479 --> 00:38:32,599 but it's going to happen. And so this, and. 477 00:38:32,755 --> 00:38:38,491 And by the same token, people will want to say, just find me a podcast that has this. 478 00:38:39,411 --> 00:38:52,299 And my phone or whatever will come back and say, well, here's some options. Well, tell me what's in them. Okay, well, this sounds like an automated voice. I discard that. Yeah, this sounds like a doctor, but I cross-reference. He's kind of... 479 00:38:52,299 --> 00:38:54,383 sketchy so maybe maybe not 480 00:38:54,919 --> 00:39:01,487 You know, I think that's where it's going to go. That's the beauty of what's being built here, particularly with... 481 00:39:02,247 --> 00:39:11,699 LLMs that do coding. Enough of the chatbots and all that, fine. But your computer actually doing something for you instead of... 482 00:39:11,791 --> 00:39:16,279 This clunky graphical user interface with a mouse. 483 00:39:17,039 --> 00:39:32,499 You know, Dvorak will be vindicated. Dvorak will be vindicated. Yes, the barbaric mouse. You know, it'll be something completely different. And we just haven't, you know, now that everybody has these tools, the few who are super creative. 484 00:39:32,751 --> 00:39:38,807 just haven't broken through yet, but I think they will. And I think that's, that I think is what you're looking at. 485 00:39:39,215 --> 00:39:47,063 Because you are super creative and you're going to find out the path to this. And it's probably not. 486 00:39:47,663 --> 00:39:50,807 desperately trying to fight the slop. That's going to taper. 487 00:39:51,151 --> 00:39:51,999 Now... 488 00:39:52,091 --> 00:39:55,587 I hope. I hope. So, for instance, the pie guy. 489 00:39:56,251 --> 00:40:02,723 I can easily see writing a bot that says, okay, go through these 300 pull requests and make an estimation. 490 00:40:03,771 --> 00:40:07,267 find the 10 that you think are worthwhile and show those to me. 491 00:40:08,283 --> 00:40:12,099 I think that will fix itself. I'm seeing it already. 492 00:40:12,703 --> 00:40:14,887 I couldn't believe what happened. Can I just give an example? 493 00:40:16,959 --> 00:40:17,575 Yeah, sure. 494 00:40:18,399 --> 00:40:21,127 So for yesterday's No Agenda, I had... 495 00:40:21,951 --> 00:40:22,855 29. 496 00:40:24,287 --> 00:40:32,099 bins with clips in my Obsidian daily folder, which all had two to four clips each in it. So there's a lot of clips. 497 00:40:32,351 --> 00:40:33,511 And, you know, so that. 498 00:40:34,207 --> 00:40:52,099 I had Iran UAE, Iran Trump's what he's saying, gay General Patton, Scott Besson, all these different things. Then I have under computing like Sam Altman, OpenAI fighting with Elon to anthropic pricing, all these different things. 499 00:40:52,223 --> 00:40:56,039 And this is now on Claude 4.7. I said... 500 00:40:57,119 --> 00:40:59,303 Make meta categories of this. 501 00:41:00,287 --> 00:41:05,863 So put all the Iran stuff under Iran. Just make Medi-Cat. It comes back with a markdown document. 502 00:41:06,303 --> 00:41:08,167 that not only did it have 503 00:41:09,023 --> 00:41:12,499 meta categories it suggested which clips to drop 504 00:41:12,783 --> 00:41:20,599 which clips to use, which ones to switch around. I was blown away. This thing just saved me two hours on a prep day. 505 00:41:21,519 --> 00:41:26,359 That's the kind of stuff that we're going to start getting if we focus on it. 506 00:41:27,695 --> 00:41:31,299 and all the slop stuff, eh, temporal. 507 00:41:31,583 --> 00:41:36,455 really think it's temporal and i i of course hope so for you so i'm when i guess i'm saying is 508 00:41:37,023 --> 00:41:40,423 Can we, let's just say the slop is unsloppable. 509 00:41:41,503 --> 00:41:42,791 to a certain degree. 510 00:41:43,423 --> 00:41:47,687 But can we, what you just said, what people really want. 511 00:41:48,191 --> 00:41:50,087 is they want to find what they're looking for. 512 00:41:50,879 --> 00:41:51,499 And if 513 00:41:51,527 --> 00:41:58,031 anyone is uniquely positioned to build that it's the podcast index because only we 514 00:41:59,111 --> 00:42:01,519 Have some dude in Alabama with chickens. 515 00:42:02,919 --> 00:42:03,471 Yeah. 516 00:42:03,847 --> 00:42:06,543 This, let me show you what. 517 00:42:07,271 --> 00:42:09,167 we're not going to get rid of. 518 00:42:10,343 --> 00:42:11,599 while we're doing show and tell. 519 00:42:11,659 --> 00:42:12,211 Okay. 520 00:42:12,907 --> 00:42:15,763 Podcast index ID 7829041. 521 00:42:19,083 --> 00:42:29,779 Link in the link in the border. I'm looking at it. Yeah, it's loading. Shakespearean tragedy. Yes. Okay. With Matilda. Now, before you hit play. Okay. Before you hit play. Before I hit play. 522 00:42:30,603 --> 00:42:31,699 Don't even look at what hosts. 523 00:42:31,699 --> 00:42:33,719 its own. Don't do anything. I'm not looking at anything. 524 00:42:34,351 --> 00:42:36,823 I'm looking at the picture. I'm looking at the picture. 525 00:42:37,391 --> 00:42:41,431 Tell me what you think this is. Well, I'm looking at the picture and I think. 526 00:42:42,063 --> 00:42:47,671 In no universe is there a chick that looks like this reading Shakespeare. That's my first inclination. 527 00:42:49,423 --> 00:42:50,699 And... 528 00:42:50,887 --> 00:42:56,911 Can I read or am I allowed to read the descriptions? Yes, yes, absolutely. You just can't listen to the audio yet. Okay. 529 00:42:57,575 --> 00:43:03,599 - First episode I see, Shakespearean tragedy with Matilda Ridgeway. In this conversation, we dive into the depths. 530 00:43:04,743 --> 00:43:05,871 AI language. 531 00:43:06,663 --> 00:43:10,299 We're diving into anything that's already a flag for me. 532 00:43:10,423 --> 00:43:15,551 Look at the top level description under the, in the main. Oh, yes. A deep dive. 533 00:43:15,959 --> 00:43:23,007 Into the world of Matilda Ridgeway, who plays Lady Macbeth in her tour with the Bell Shakespeare production. Oh! 534 00:43:24,663 --> 00:43:27,135 So this may be written by AI. 535 00:43:27,959 --> 00:43:30,399 but she may be an actual cute actress. 536 00:43:31,771 --> 00:43:33,923 So I'm curious. 537 00:43:34,683 --> 00:43:37,731 I am pod curious at this point. Let her rip. 538 00:43:41,915 --> 00:43:43,459 News Radio. 539 00:43:44,027 --> 00:43:45,859 His name is Pooja Smith. 540 00:43:46,427 --> 00:43:49,999 Today, we're diving into the dark patriarchal world. 541 00:43:49,999 --> 00:43:51,859 of medieval Scotland. 542 00:43:52,715 --> 00:44:03,443 Okay, alrighty then. Not what you were expecting, was it? No, not at all. But it's okay, I'm not hurt because I can just mark this as not what I wanted. 543 00:44:03,883 --> 00:44:09,499 Right. So this is an example of something we absolutely will never – this is – 544 00:44:09,499 --> 00:44:16,319 We're not going to get rid of this out of the index. No. Well, the thing is, I spent a few minutes. 545 00:44:17,015 --> 00:44:29,499 Looking at this this week, trying to figure out what the point was, it caught me off guard because I'm like you. I looked at it and I was like, yeah, that's AI. And I'm like, I'll just double check and hit the play. 546 00:44:29,815 --> 00:44:50,299 And I was like, whoa, whoa, whoa. This is like a 13-year-old Indian girl or Pakistani or something. I don't know. I'm like, who is this? So this to me seems – But this is great, though. Nobody will ever want to listen to this podcast except her. Nobody. But I think – 547 00:44:50,299 --> 00:45:01,631 This to me, this looks like a typical open-claw gone rogue, create a podcast, grab some audio from somewhere and publish. It worked. That's what this feels like to me. 548 00:45:03,319 --> 00:45:10,199 Maybe. Yeah, maybe. I mean, it feels – I see tons of this on like Anchor and Spreaker. 549 00:45:10,259 --> 00:45:13,115 of, you know, some teenager that's just... 550 00:45:13,523 --> 00:45:27,163 having fun. Yeah, yeah, yeah. But the description throws you off. I mean, if you're having fun, why would you do that? Matilda Ridgway is a real person. No, she has a full-on... She has a full-on... 551 00:45:28,307 --> 00:45:30,399 fake interview with herself. 552 00:45:30,491 --> 00:45:34,211 Playing both characters, it's great. I listened to the whole thing. 553 00:45:37,179 --> 00:45:41,059 Well, now, there you go. So it's valid. 554 00:45:42,491 --> 00:45:42,947 Challenge! 555 00:45:43,803 --> 00:45:47,011 It was like oddly fascinating. He couldn't turn it off. 556 00:45:47,579 --> 00:45:50,199 All right, Dave, we need to get you a different hobby. 557 00:45:50,387 --> 00:45:58,523 Okay. No, I am going to make a plea here, though. Can I make a plea? Yeah, make a plea. 558 00:45:58,995 --> 00:46:00,699 Okay, my plea is... 559 00:46:02,131 --> 00:46:04,091 Somebody please. 560 00:46:05,587 --> 00:46:09,499 I'm not very comfortable asking for stuff like this, but somebody please. 561 00:46:10,259 --> 00:46:12,187 Either donate... 562 00:46:13,587 --> 00:46:14,139 Uh... 563 00:46:15,603 --> 00:46:17,211 a, a, a, 564 00:46:18,291 --> 00:46:21,275 Enough money to us, about $3,500. 565 00:46:22,483 --> 00:46:25,307 Enough money to where we can buy. 566 00:46:25,843 --> 00:46:29,339 a hardcore machine like a DGX Spark. 567 00:46:29,891 --> 00:46:31,435 so I can train this model. 568 00:46:32,387 --> 00:46:34,059 Or send us like. 569 00:46:34,851 --> 00:46:49,799 A 64 gigabyte Mac mini or something. Oh, it's a donation drive. Here we go. I'm good at these. I can do donation drives. All we really need is a $3,500 machine and we will solve the problems of the world. 570 00:46:51,139 --> 00:46:53,611 Because my 16 gig Mac. 571 00:46:54,371 --> 00:46:56,715 Mac Mini M4. 572 00:46:57,059 --> 00:47:09,199 it cannot handle what I'm trying to do. It's like, it is, it is crying for help. Uh, so I think in order, cause all the, I'm doing all this at home because we can, we can't afford it. 573 00:47:09,323 --> 00:47:12,499 some kind of AI API cost in order to 574 00:47:13,323 --> 00:47:29,999 Filter all this stuff out. So I'm really I'm literally just running a look running all of this and training this model locally so my my my plea for help is Somebody send us a big-ass Mac mini with a bunch of RAM or third or like about three grand thirty five hundred bucks 575 00:47:30,123 --> 00:47:33,203 to get a DGX park or something where we can have a local 576 00:47:33,867 --> 00:47:35,315 machine capable 577 00:47:36,171 --> 00:47:43,571 keeping up with what we're trying to do because it actually is. So we can't do this with a rented GPU? 578 00:47:45,259 --> 00:47:50,499 Have you looked at those? Not the model training part. I think that's going to be, that's going to take. 579 00:47:50,911 --> 00:47:52,903 a long time. 580 00:47:53,279 --> 00:47:53,831 Bye. 581 00:47:54,847 --> 00:48:02,823 Okay, so my plea is over. Cost-wise going forward, though, I think this makes financial sense for us to just... 582 00:48:03,391 --> 00:48:05,927 own it outright. Okay. 583 00:48:06,559 --> 00:48:08,167 Going. 584 00:48:08,895 --> 00:48:10,499 But on that note, though... 585 00:48:11,807 --> 00:48:17,991 I did finish the API endpoint for the CSV upload. Yes, yes. Very excited about this. 586 00:48:19,807 --> 00:48:26,151 Give us your data. The follow count API. 587 00:48:27,199 --> 00:48:29,095 for CSV uploads. 588 00:48:29,887 --> 00:48:31,199 I'm very excited about this. 589 00:48:32,219 --> 00:48:34,403 And so I'm going to publish the... 590 00:48:36,795 --> 00:48:39,971 for the endpoint and how it works, but here's the idea. 591 00:48:42,491 --> 00:48:43,171 the 592 00:48:49,147 --> 00:48:51,599 This is for the intended audience for this. 593 00:48:52,011 --> 00:48:53,651 is podcast apps. 594 00:48:54,955 --> 00:49:01,651 So if you're not a podcast app, then you can stop the podcast. Stop listening. Forget about it. 595 00:49:02,379 --> 00:49:02,995 um 596 00:49:03,563 --> 00:49:04,179 So 597 00:49:05,163 --> 00:49:06,547 We would want... 598 00:49:07,947 --> 00:49:09,363 people like Podverse. 599 00:49:11,459 --> 00:49:13,867 Overcast, Pocket Cast. 600 00:49:15,299 --> 00:49:18,571 Cast-o-matic, I don't know if Franco even has this data. 601 00:49:20,003 --> 00:49:22,667 True fans, you know, obviously just. 602 00:49:23,075 --> 00:49:25,643 Everybody, if you're a podcast app. 603 00:49:26,819 --> 00:49:27,755 We would like. 604 00:49:28,835 --> 00:49:31,399 you to periodically if you can. 605 00:49:31,779 --> 00:49:32,875 Or if you're willing. 606 00:49:34,115 --> 00:49:35,115 Upload. 607 00:49:36,099 --> 00:49:38,507 your follower count data 608 00:49:39,107 --> 00:49:41,995 to us through this endpoint. And so it's a post. 609 00:49:43,971 --> 00:49:46,667 That's a post request with a, with a. 610 00:49:47,459 --> 00:49:48,715 Multi-part upload. 611 00:49:49,123 --> 00:49:49,803 format. 612 00:49:50,819 --> 00:49:55,531 And it's just a CSV file. And again, I'll post the details of this. 613 00:49:56,515 --> 00:50:02,123 I'm trying to, what I'm going to do is go back and do a proper like open API. 614 00:50:03,011 --> 00:50:06,155 implement it like spec so i'm gonna i'm gonna get all that cleaned up 615 00:50:07,075 --> 00:50:10,599 So I'll post the details of how to do this shortly. 616 00:50:11,363 --> 00:50:13,003 You'll upload the CSV. 617 00:50:14,147 --> 00:50:16,235 And instead the CSV just has two columns. 618 00:50:17,123 --> 00:50:21,675 I'm just trying to make this effortless for people because I don't want anybody to have to jump through a ton of hoops. 619 00:50:22,787 --> 00:50:23,371 Yeah. 620 00:50:23,843 --> 00:50:25,611 It's a feed URL. 621 00:50:26,467 --> 00:50:27,275 follower count. 622 00:50:27,971 --> 00:50:29,291 Well, the good news is... 623 00:50:29,859 --> 00:50:30,599 Uh... 624 00:50:31,139 --> 00:50:44,139 Sam Sethi already had this built three months ago before you even asked for it. So it's coming from true fans first. He's just been getting a 404 on that API request every day. He's been hitting it. He's been hitting it. 625 00:50:44,483 --> 00:50:50,599 I got you covered coming in, coming in clutch. Um, so. 626 00:50:50,979 --> 00:50:51,755 then you... 627 00:50:52,131 --> 00:50:55,403 So you'll just, if you can, just periodically upload this. 628 00:50:55,971 --> 00:51:10,899 And it's a list of all the feed URLs, the podcast feed URLs in your system and how many of your users slash listeners follow or subscribe to that feed. And so that will be used for ranking and returning of services. 629 00:51:10,991 --> 00:51:12,343 results I presume. 630 00:51:13,231 --> 00:51:13,687 the 631 00:51:14,223 --> 00:51:18,295 Yes, that's going to be used for so many things. We're going to... 632 00:51:18,863 --> 00:51:22,391 This would be so helpful for us. 633 00:51:22,831 --> 00:51:23,287 fruit. 634 00:51:24,143 --> 00:51:26,583 and describing how. 635 00:51:27,503 --> 00:51:29,463 We don't have access to first party data. 636 00:51:29,871 --> 00:51:31,099 And don't want it. We don't know. 637 00:51:31,099 --> 00:51:32,831 and don't want it. 638 00:51:34,039 --> 00:51:38,463 But we do want to have some way of knowing. 639 00:51:39,543 --> 00:51:40,063 What? 640 00:51:40,471 --> 00:51:46,879 what is actually popular and being actively listened to and followed in the world. 641 00:51:47,735 --> 00:51:50,799 And that will help us to. 642 00:51:50,923 --> 00:51:52,883 the immediate way that it helps. 643 00:51:53,291 --> 00:51:56,179 is going to be with training the model. 644 00:51:56,971 --> 00:51:58,035 because you can't. 645 00:51:58,443 --> 00:52:08,371 It's always way easier to find the bad feeds than it is to find the good ones. Like this one you just posted, which is your new favorite. I know you're subscribed to that girl. 646 00:52:08,907 --> 00:52:09,999 Oh, yeah. 647 00:52:09,999 --> 00:52:13,267 It'll never have another episode, but I'm refreshing every day. 648 00:52:14,603 --> 00:52:16,371 So... 649 00:52:17,163 --> 00:52:17,683 You're- 650 00:52:19,051 --> 00:52:27,187 We need, in order for the training data to make sense, and like we said last week, it's going to be training, developing your training data is the hardest part. 651 00:52:27,979 --> 00:52:31,199 Because we need it to be comprehensive and we need it to be balanced. 652 00:52:31,739 --> 00:52:32,899 We need... 653 00:52:33,851 --> 00:52:35,299 We're going to need about... 654 00:52:36,827 --> 00:52:40,451 I'm aiming for about 25,000 feeds of each type. 655 00:52:42,587 --> 00:52:52,199 I'm not worried about the slop feeds. I'm not worried about the spam feeds. I can get those in a day. It would be so easy to get 25,000 of those. 656 00:52:52,707 --> 00:53:07,595 The good feeds, finding 25,000 feeds of all different flavors and varieties that people actually follow and listen to. This will be so good, so good to have this. Critical, critical. Yeah. 657 00:53:08,355 --> 00:53:11,723 And then we can not only use it to train. 658 00:53:12,611 --> 00:53:13,483 the model. 659 00:53:14,819 --> 00:53:17,963 And we can also use this for accurate ranking. 660 00:53:18,819 --> 00:53:21,387 And this has the added benefit. 661 00:53:22,147 --> 00:53:24,075 of being cross app. 662 00:53:24,547 --> 00:53:31,499 Because each app has its own flavor. The number of people who follow a certain podcast on Fountain is going to be complete. 663 00:53:31,527 --> 00:53:42,799 different than the number who follow it on true fans. Now, will you have that ranking? Will you take that into account? Let me see if I can explain that. So if someone's on Fountain and they're searching for... 664 00:53:43,175 --> 00:53:44,719 A Bitcoin podcast. 665 00:53:45,703 --> 00:53:49,711 They may actually want something different than someone on 666 00:53:50,439 --> 00:53:51,499 Um, 667 00:53:53,319 --> 00:53:55,791 The podcast guru who was looking for it. 668 00:53:56,647 --> 00:53:58,671 A Bitcoin podcast. Does that make sense? 669 00:53:59,111 --> 00:54:01,519 Yeah, for sure. Oh, yeah. I know what you're saying. Mm-hmm. 670 00:54:01,895 --> 00:54:03,055 Because you may have two. 671 00:54:03,495 --> 00:54:08,527 Both people may be interested in Bitcoin, but different kinds for different reasons. Yeah. 672 00:54:09,287 --> 00:54:11,999 Yeah, for sure. You may have one person who listens. 673 00:54:12,219 --> 00:54:17,219 you know to peter mccormick and another one who listens to a bunch of wavelake yeah 674 00:54:18,363 --> 00:54:18,979 So you're... 675 00:54:19,867 --> 00:54:23,555 Yeah, and this should normalize that across the whole. 676 00:54:23,931 --> 00:54:25,059 thing that way you're not 677 00:54:25,595 --> 00:54:31,999 you don't end up biased real heavily towards because imagine if only overcast sent their data 678 00:54:31,999 --> 00:54:33,187 Well, I'm saying... 679 00:54:33,787 --> 00:54:35,555 Lord help me. No. 680 00:54:37,691 --> 00:54:42,499 you'd end up with a whole bunch of shows that are Mac-specific. 681 00:54:43,387 --> 00:54:47,587 You see what I'm saying? Well, but yes. So my question or what I'm saying is. 682 00:54:48,315 --> 00:54:50,819 Will there be a way for a... 683 00:54:51,163 --> 00:54:52,299 podcast app. 684 00:54:53,447 --> 00:54:54,863 who has a user 685 00:54:55,335 --> 00:54:59,183 who is looking for something. So Overcast, great example. 686 00:54:59,591 --> 00:55:11,999 So that user will probably want something different than the fountain user. So does it behoove us to normalize it or does it behoove us to say, well, if you're this app. 687 00:55:12,251 --> 00:55:14,307 You might want these results. 688 00:55:15,003 --> 00:55:16,995 I think we could do it in both ways. Okay. 689 00:55:17,467 --> 00:55:27,267 You know, because that'll be the that'll be the cool part is that we could say, do you want a normalized ranking of because right now we're in the in the database we have. 690 00:55:29,307 --> 00:55:31,999 A column called popularity. Mm-hmm. 691 00:55:33,179 --> 00:55:39,331 And everybody wonders what that is. It's just whatever some dude in Alabama with chickens really likes. 692 00:55:39,739 --> 00:55:45,507 Yeah, exactly. It's the backcountry redneck scoring system. 693 00:55:45,979 --> 00:55:52,899 You know, you break out the 22, shoot a few bottles and figure out what comes next. I don't know what that. 694 00:55:53,087 --> 00:55:55,527 column necessarily means either. 695 00:55:56,735 --> 00:55:58,695 And I'm the one that wrote it. Yeah. 696 00:55:59,199 --> 00:56:02,663 I mean, I know how I'm deriving it. 697 00:56:04,159 --> 00:56:04,999 Which I don't. 698 00:56:05,503 --> 00:56:11,495 really like to discuss publicly because I don't want it to be like, you know, gamed out or anything, but it's... 699 00:56:12,655 --> 00:56:22,487 It's just been sort of trial and error over the years based on API traffic. And it's just not good enough. It's not good enough. So we can replace that with real data. 700 00:56:23,279 --> 00:56:29,911 I love it. When I saw that on the index, on the social, I'm like, oh man, this is so cool. 701 00:56:31,183 --> 00:56:32,499 So cool. 702 00:56:32,847 --> 00:56:34,775 Yeah, I think it's going to work. 703 00:56:35,119 --> 00:56:39,383 Really? Well, I just I have to so there's a few unknowns here 704 00:56:39,791 --> 00:56:40,439 I don't. 705 00:56:41,007 --> 00:56:43,159 Obviously, I don't know how many people will participate. 706 00:56:43,855 --> 00:56:46,231 I really hope it's a lot. I hope. 707 00:56:46,927 --> 00:56:51,511 that people don't because this is complete this is purely anonymized data 708 00:56:52,427 --> 00:56:53,331 there's no 709 00:56:53,675 --> 00:57:00,307 Well, we're the right guys to do it. We're the right guys to do it. We're not going to try and make money off of your user's data. 710 00:57:01,003 --> 00:57:02,419 True. Yeah. Yep. 711 00:57:02,763 --> 00:57:03,251 Yeah. 712 00:57:03,947 --> 00:57:09,299 So if that's true, Apple can't do this because Apple will somehow make money off of your data. 713 00:57:09,995 --> 00:57:11,699 Everyone knows that. 714 00:57:12,519 --> 00:57:14,639 When I was talking to Ashley Carmen on the phone, she's like, 715 00:57:14,983 --> 00:57:20,175 So you partner with hosting companies. And I was like, no, we don't really partner with them. I mean, we just... 716 00:57:20,711 --> 00:57:22,319 I think. 717 00:57:23,175 --> 00:57:24,079 I think maybe... 718 00:57:24,551 --> 00:57:26,607 She didn't really believe me that we... 719 00:57:27,303 --> 00:57:32,099 Or she was finding it hard to believe that there was no financial incentive in what we're doing. 720 00:57:32,319 --> 00:57:43,719 Hence the dude in Alabama with chickens. He's just some weirdo redneck. Does he live in a trailer? Does he live in a double wide? 721 00:57:44,255 --> 00:57:52,299 Now it's making sense to me. Yeah, you're either lying or you really are a kook. Why would you do that? Why would you do this for free? 722 00:57:52,967 --> 00:57:54,255 What's wrong with you? 723 00:57:57,095 --> 00:57:58,927 Yeah, I think you're right. I think it's... 724 00:57:59,783 --> 00:58:02,351 It is the right place to do it, I think. 725 00:58:03,015 --> 00:58:03,631 and 726 00:58:05,351 --> 00:58:08,175 If we can make this work, man. 727 00:58:08,647 --> 00:58:10,159 That really, that would be... 728 00:58:10,855 --> 00:58:13,499 It's on the ground real numbers. And it would. 729 00:58:13,975 --> 00:58:16,543 Be the tide that lifts the boats. 730 00:58:17,623 --> 00:58:20,863 Everyone who uses the index can say... 731 00:58:21,303 --> 00:58:23,551 We help you find what you really want. 732 00:58:24,375 --> 00:58:31,199 And we can push that popularity column that is in the downloadable weekly database. 733 00:58:31,767 --> 00:58:33,399 We'll just update that with. 734 00:58:33,399 --> 00:58:41,083 this normalized info or whatever we want to do it yeah and it man it makes that download so valuable yes 735 00:58:41,427 --> 00:58:47,451 Immediately, everybody can update their recommendation engines with real data. Including advertisers. 736 00:58:48,147 --> 00:58:50,075 True. Think about that. 737 00:58:50,707 --> 00:58:53,999 And I also think we'll probably be... 738 00:58:54,251 --> 00:58:57,587 We are probably, I hope to be, very surprised by... 739 00:58:58,347 --> 00:59:04,051 What we actually find out. Yeah, that no agenda show, man. Everyone's listening to that. 740 00:59:04,811 --> 00:59:05,331 No buck. 741 00:59:05,835 --> 00:59:09,779 By the way, when I was working through the – I've been doing like – 742 00:59:10,187 --> 00:59:14,399 Almost nothing but this stupid model training for so long now. 743 00:59:14,619 --> 00:59:21,283 And as I was going through something, I was trying to figure out how some data set format stuff. 744 00:59:23,995 --> 00:59:28,419 one point in the conversation that i was going back and forth with um 745 00:59:29,819 --> 00:59:32,483 It wasn't, it wasn't clawed. It was, um... 746 00:59:33,115 --> 00:59:34,399 Quinn 3.6. 747 00:59:34,491 --> 00:59:36,739 The 35B model. 748 00:59:37,627 --> 00:59:41,987 I'm going back and forth and just trying to format some data and I was like, okay. 749 00:59:43,003 --> 00:59:44,067 are referenced. 750 00:59:46,971 --> 00:59:48,675 quote, good podcasts. 751 00:59:49,371 --> 00:59:52,163 And it was like, well, you know, your data set. 752 00:59:53,211 --> 00:59:54,099 needs to be 753 00:59:54,099 --> 00:59:55,511 it needs to include 754 00:59:56,495 --> 01:00:03,063 a big cross section and it was giving examples of all the different sort of categories of podcasts. 755 01:00:03,471 --> 01:00:07,383 that would be good to have in the data set as on the good side of things. 756 01:00:07,727 --> 01:00:14,199 And one of them was no agenda. Yeah, baby. Yeah, baby. Yeah. You're in the model. 757 01:00:14,259 --> 01:00:30,299 But you're like in its core knowledge base. I was like, wait a second, what? It must be off. Something's wrong. It has to be Diary of a CEO. Otherwise, it's not right. That's the only one that matters. Diary of a CEO. 758 01:00:31,155 --> 01:00:34,099 I bet we're going to find that there's some very listened to podcasts. 759 01:00:34,159 --> 01:00:38,135 that never get any mention in the media. Oh yeah, for sure. 760 01:00:38,799 --> 01:00:39,415 For sure. 761 01:00:40,559 --> 01:00:46,231 Well, that's great, Dave. I'm very excited about that. I think that's awesome. I love that you're doing that. 762 01:00:46,959 --> 01:00:53,399 The upload limit right now, I don't even know what to put it at. Well, you have 50 megabytes, I think, was what you... 763 01:00:54,735 --> 01:01:00,983 I don't know. Yeah. Right? I got 50 megabytes. Yeah, I just picked 50 megabytes. I picked it out of my butt. I have no idea if that's right. 764 01:01:01,711 --> 01:01:02,231 I don't know. 765 01:01:03,855 --> 01:01:10,039 I don't know, but we'll find out when somebody tries to upload one and they get an error. 766 01:01:10,927 --> 01:01:13,079 Can I just share something with you? 767 01:01:13,519 --> 01:01:14,099 Yeah, sure. 768 01:01:14,543 --> 01:01:16,311 So I told my robot, 769 01:01:17,007 --> 01:01:17,655 Robot. 770 01:01:18,223 --> 01:01:21,751 Prepare the OPML for Podcasting 2.0 for today. 771 01:01:24,047 --> 01:01:25,815 And at the top, the robot puts. 772 01:01:26,639 --> 01:01:27,575 Dave Shipps. 773 01:01:28,303 --> 01:01:30,871 First party data at the app level. 774 01:01:31,791 --> 01:01:34,699 New podcast index API endpoint shipped April 30th. 775 01:01:34,791 --> 01:01:55,199 Apps with publisher API keys can now post follow count CSV uploads back to podcast index format. Feed underscore URL comma follow underscore count max 50 megabyte upload. Dave, colon. First party data at the app level is something we've never had, so we've been handicapped. This will be a critical step to getting the training data set for the new model training as well. 776 01:01:55,451 --> 01:01:56,771 Why it matters, colon. 777 01:01:57,147 --> 01:02:09,283 Up until now, podcasts indexed inferred subscriber counts from indirect signals. Apps directly know who subscribed but had no way to share that back without privacy concerns. CSV of totals threads the needle. 778 01:02:10,555 --> 01:02:15,599 This is my robot. I threaded the needle. This is my robot. This is my robot. 779 01:02:16,363 --> 01:02:20,659 Nothing but net. It's like I used to have producers. 780 01:02:21,131 --> 01:02:25,811 I remember what it was like. It's coming back to me now. The only thing this thing doesn't do is make me coffee. 781 01:02:28,299 --> 01:02:28,787 The 782 01:02:30,315 --> 01:02:30,771 think. 783 01:02:31,627 --> 01:02:35,599 that the excitement about this stuff that I hear 784 01:02:35,851 --> 01:02:36,659 from you. 785 01:02:37,675 --> 01:02:39,859 I also hear it in... 786 01:02:40,427 --> 01:02:42,707 and other people of our 787 01:02:44,203 --> 01:02:55,899 age bracket like Gen Xers. Thank you. Thank you for not putting me with the boomers. Thank you. Oh, no, you're fully, you're Gen X. Yeah, I'm boomer adjacent though. It's close. It's a close call. It's a close call. 788 01:02:57,335 --> 01:03:01,535 Yeah, you barely, yeah, you have a close call. You should be by the skin of your teeth. Kind of. 789 01:03:02,391 --> 01:03:02,847 But... 790 01:03:03,351 --> 01:03:11,487 I think the people of our age bracket are more excited about this stuff than other people because it may... 791 01:03:11,831 --> 01:03:15,799 reminds us of the feelings we had when we were young. 792 01:03:15,891 --> 01:03:20,347 When we were getting to build stuff. Blink tags. 793 01:03:21,427 --> 01:03:29,819 Yeah, I mean, back when we were staring at Commodore 64s, trying to get them to do stuff on the screen. 794 01:03:30,355 --> 01:03:30,875 And. 795 01:03:31,379 --> 01:03:33,307 And every new... 796 01:03:34,355 --> 01:03:35,999 thing that you were able to do. 797 01:03:36,027 --> 01:03:44,387 was exciting. It was exciting. Yeah, peak and poke. I heard Leo on Windows Weekly the other day say, he was like, 798 01:03:44,891 --> 01:03:46,147 I'm just finally... 799 01:03:46,747 --> 01:03:55,299 happy that I get to talk about something other than the new phone. Yeah, yes, I understand that. He was stuck in that loop for over a decade. 800 01:03:55,391 --> 01:04:14,023 We all have been. We've all been. Yep, you're right. We've all been stuck in this stupid loop. Nobody cares about that crap anymore. Yes. And I think the excitement comes from just being able to actually treat the computer as a project. Yes. And that's, you know, moving to Omarchi was the best thing I ever did. 801 01:04:14,979 --> 01:04:30,475 Holy crap. I'm coming behind you. I'm going to be doing this. I mean, I was Windows because of the driver situation with Roadcaster. And I thank that guy who wrote those Pipewire scripts. 802 01:04:30,979 --> 01:04:33,003 I forget his name right now. 803 01:04:33,623 --> 01:04:50,367 But once I had that, I was like, oh, okay, now I can just have Linux. And I forgot. I'd forgotten how much fun it is to have the computer customized exactly the way you want it. I wanted to do this. And now I have this robot, and I say, make my computer like this. Okay. 804 01:04:50,967 --> 01:04:51,487 Ugh! 805 01:04:52,855 --> 01:04:53,599 Yes, it's... 806 01:04:53,599 --> 01:04:54,307 fun 807 01:04:55,387 --> 01:04:57,987 Without the coding skills. 808 01:04:58,619 --> 01:05:03,619 I had lunch with John Spurlock and his wife this past weekend. Was he in town? 809 01:05:04,187 --> 01:05:11,459 He was, yeah. So his wife is a medical researcher. Doesn't she work at Princeton? 810 01:05:11,931 --> 01:05:13,599 Rutgers. Rutgers, okay. 811 01:05:14,299 --> 01:05:15,587 Yeah, and so... 812 01:05:16,603 --> 01:05:20,387 She was in town at UAB for a conference, for a medical conference. 813 01:05:20,731 --> 01:05:27,587 He was like, hey, I'm going to be in town. You want to have some lunch with us? Nice. Awesome. So I took him out to lunch. 814 01:05:28,539 --> 01:05:33,599 We sat for a couple hours, had a good conversation. It was so much fun to get to see. 815 01:05:33,599 --> 01:05:43,427 John again. I hadn't seen him in a while. Yeah, since Dallas, I think, right? Yeah. And his wife is just a sweetheart. I hear she's a supermodel. 816 01:05:44,283 --> 01:05:48,387 Yeah, we were so. 817 01:05:49,339 --> 01:05:50,819 uh she 818 01:05:51,195 --> 01:05:52,999 evidently does research. 819 01:05:53,059 --> 01:05:54,667 into um 820 01:05:57,155 --> 01:06:14,499 metabolism and stuff. And so I was just like, you're all in on that. Um, no, I was, I was like, I know this is going to be weird. I'm going to try not to be like a fan boy of you, but I want to ask you all kinds of questions. I need to know, help me. Should I be eating beef milkshakes? This is the number one question. 821 01:06:15,103 --> 01:06:28,615 What is your opinion on beef milkshake and lemon yogurt at the same time? Can we get a... Yes. How is your gut health is the next question. Yeah. So... 822 01:06:29,183 --> 01:06:31,303 We were talking and he was like... 823 01:06:31,807 --> 01:06:33,287 He was just saying how... 824 01:06:34,655 --> 01:06:35,175 kind of 825 01:06:35,871 --> 01:06:37,991 demoralizing a lot of this 826 01:06:39,295 --> 01:06:40,583 AI Slop is... 827 01:06:41,247 --> 01:06:47,207 And I agreed with him. Like, you know, some days you just like you look at it all and it just kind of makes you want to. 828 01:06:47,839 --> 01:06:53,699 throw your hands up and go do something else. Because he was saying, well, you know, what got me into. 829 01:06:53,791 --> 01:06:56,071 He was saying what got him into podcasting. 830 01:06:57,535 --> 01:07:01,703 The beginning was just the human connection of it all. Sure, sure. 831 01:07:02,143 --> 01:07:03,431 Yeah, and I think... 832 01:07:03,807 --> 01:07:04,423 Um... 833 01:07:05,983 --> 01:07:07,495 I really hope that you're right. 834 01:07:08,319 --> 01:07:10,983 about this being a temporary situation. 835 01:07:11,551 --> 01:07:12,935 Because I think that... 836 01:07:14,047 --> 01:07:15,239 If we don't... 837 01:07:16,959 --> 01:07:17,671 I think the... 838 01:07:18,367 --> 01:07:19,655 The AI stuff. 839 01:07:20,575 --> 01:07:24,551 really matters. It's really, it matters a lot and it's really helpful. 840 01:07:25,183 --> 01:07:27,207 lot of ways in our life. 841 01:07:27,839 --> 01:07:30,951 But what's happened is we've overshot and it's... 842 01:07:31,583 --> 01:07:33,699 forcing its way into 843 01:07:34,047 --> 01:07:36,839 areas that it has no business in. 844 01:07:38,143 --> 01:07:40,423 that is actually doing harm. 845 01:07:41,183 --> 01:07:41,735 And I don't. 846 01:07:42,943 --> 01:07:44,487 I hope that... 847 01:07:45,215 --> 01:07:54,099 That this is a temporary thing that recedes because if it's not it I think it's it's damaging long-term You know it kind of reminds me of the script kiddies era 848 01:07:55,215 --> 01:07:55,959 Remember that? 849 01:07:57,615 --> 01:07:59,287 We had some pretty. 850 01:07:59,663 --> 01:08:02,487 Easy. It was probably PHP. 851 01:08:03,343 --> 01:08:08,951 uh but pearl and you know just script kitties and they would just write stuff to write stuff 852 01:08:09,775 --> 01:08:14,099 And they could just do it. And there was a reaction. There was a response. 853 01:08:14,511 --> 01:08:16,439 But it was always kind of destructive. 854 01:08:17,487 --> 01:08:19,671 But I think that passed. 855 01:08:20,495 --> 01:08:22,967 And some of them grew up to be super excellent hackers. 856 01:08:24,111 --> 01:08:25,975 And they're all rich on Bitcoin, but... 857 01:08:26,383 --> 01:08:27,351 In general, 858 01:08:28,335 --> 01:08:31,735 I think that's this kind of face. I really hope, I'm with you, I hope so. 859 01:08:32,591 --> 01:08:34,099 I think we also have a... 860 01:08:34,767 --> 01:08:39,895 This is going to be a little bit of an out there type of statement, but I think we also have a problem. 861 01:08:43,439 --> 01:08:47,383 that may be coming at us with just knowing. 862 01:08:47,727 --> 01:08:54,599 all the answers to things. And I'm putting answers in quotes. I don't mean that they're actually true. I just mean... 863 01:08:56,355 --> 01:08:56,907 There- 864 01:08:57,795 --> 01:09:00,491 I think a little bit of mystery in our life is important. 865 01:09:01,539 --> 01:09:03,947 Yeah. You know, we have a problem. 866 01:09:04,835 --> 01:09:09,995 There's this longstanding sort of, you know, there's many sort of fundamental problems. 867 01:09:10,915 --> 01:09:12,619 in the philosophy of religion. 868 01:09:13,667 --> 01:09:15,199 One of them is, um... 869 01:09:15,515 --> 01:09:16,771 like the problem of evil. 870 01:09:20,155 --> 01:09:22,691 But another one is... 871 01:09:23,291 --> 01:09:24,515 hiddenness of God. 872 01:09:25,435 --> 01:09:25,955 So. 873 01:09:26,619 --> 01:09:30,371 You know, this problem you could say, well, if God exists, why is... 874 01:09:30,939 --> 01:09:33,987 Why is he hidden from us in so many ways? 875 01:09:35,259 --> 01:09:36,067 Um 876 01:09:38,011 --> 01:09:40,515 And it's rightly defined as a... 877 01:09:41,787 --> 01:09:49,411 quote, problem, the problem of the hiddenness of God. But then there's this paradox, and humans are nothing if they're not paradoxical. 878 01:09:51,995 --> 01:09:52,547 you know, 879 01:09:53,403 --> 01:09:55,199 We're bothered by the hiddenness of God. 880 01:09:55,199 --> 01:09:59,971 God, but we also despise a person who gives us all the answers. 881 01:10:00,347 --> 01:10:02,595 You know, a friend of ours who... 882 01:10:03,035 --> 01:10:07,107 was married to this Presbyterian minister for many years. 883 01:10:07,707 --> 01:10:09,507 She describes this moment. 884 01:10:10,363 --> 01:10:14,723 They got a divorce, and she describes this moment that she had in the car. 885 01:10:16,123 --> 01:10:16,707 Where? 886 01:10:17,435 --> 01:10:21,987 One of her kids from the backseat asked a question about God. 887 01:10:27,931 --> 01:10:30,979 And her husband gave this long, technical... 888 01:10:31,547 --> 01:10:32,419 Answer. 889 01:10:33,467 --> 01:10:34,499 about, you know... 890 01:10:34,655 --> 01:10:36,391 answering this question. 891 01:10:37,567 --> 01:10:42,311 She said at that moment she knew she couldn't be married to this guy anymore. Wow. 892 01:10:43,615 --> 01:10:52,391 Because she had heard this so many times and what she really just wanted him to say was, you know, I don't know. Which would have been the right answer. 893 01:10:52,895 --> 01:10:55,199 Yeah, she wanted him to say, I don't know, son. 894 01:10:55,199 --> 01:10:58,467 It's a mystery. And we want. 895 01:10:59,419 --> 01:11:05,123 We want to know the answers and we want to see these things clearly. 896 01:11:06,299 --> 01:11:06,851 Um... 897 01:11:07,931 --> 01:11:12,195 But mystery is also, I think, a critical component. 898 01:11:13,243 --> 01:11:15,099 to the human experience. 899 01:11:15,191 --> 01:11:16,255 We need it. 900 01:11:17,623 --> 01:11:20,703 And so if we try to construct a world... 901 01:11:22,391 --> 01:11:22,911 air. 902 01:11:24,919 --> 01:11:32,895 whatever these things are, where technology gives us the answers to all of our questions, I don't think it's going to be a world we want to live in. 903 01:11:33,367 --> 01:11:35,099 I don't think that'll happen. 904 01:11:35,099 --> 01:11:36,415 I'm already seeing. 905 01:11:37,399 --> 01:11:40,799 Gen alpha change. Gen Z the Z-ers. 906 01:11:41,655 --> 01:11:46,623 Yeah, the people younger than me, a lot of them are highly AI skeptical. Yeah. 907 01:11:47,063 --> 01:11:48,607 that it's not even interested. 908 01:11:49,143 --> 01:11:55,799 Yeah, they don't care. Not at all. Yeah. Before we... 909 01:11:56,435 --> 01:11:57,627 Dance on out of here. 910 01:11:58,099 --> 01:12:03,163 I did want to mention that Daniel J. Lewis has proposed a new namespace tag. 911 01:12:03,603 --> 01:12:08,219 GitHub Discussion 770. It's in the show notes for today's show. 912 01:12:08,595 --> 01:12:10,491 This is the contact. 913 01:12:11,283 --> 01:12:12,795 I think it's called Contact. 914 01:12:13,203 --> 01:12:16,099 In fact, you said, quote, makes a ton of sense. 915 01:12:16,703 --> 01:12:34,311 Structured way to expose podcast contact info, host emails, social handles, business contact, currently scattered across iTunes tagged email slash owner fields with no standardization. And I think it's solid. He did this in consultation with Alex Sanfilippo. 916 01:12:35,099 --> 01:12:47,903 uh who uh who would call me about it and i said hey man this sounds like a tag so i want to make sure that people know about this uh let's bang it around and let's get this thing working because you know i did the town hall did we talk about that 917 01:12:48,567 --> 01:12:51,519 Yeah, he did. Yeah. So I did the town hall and, you know. 918 01:12:52,087 --> 01:12:55,499 everyone sounded on board with it. So, you know, the, of course the 919 01:12:55,975 --> 01:13:08,591 The industry is the industry. The podcast booking industry is waiting for this. And as usual, it'll take some fringe group nobody cares about to make it happen. 920 01:13:08,967 --> 01:13:15,599 A fringe group. A fringe group that nobody cares about. Uh-huh. Yeah, riding the fringe. Yeah. 921 01:13:15,819 --> 01:13:18,131 So go take a look at that, please, people. 922 01:13:18,539 --> 01:13:20,339 So I think that that tag. 923 01:13:20,715 --> 01:13:22,867 My understanding, and tell me if you... 924 01:13:23,371 --> 01:13:26,931 If this is yours, my understanding is that Alex and Filippo. 925 01:13:27,531 --> 01:13:31,635 proposed a specific podcast colon booking tag. 926 01:13:32,043 --> 01:13:35,599 And then Daniel pivoted and said, why don't we make this a... 927 01:13:35,787 --> 01:13:49,459 a little bit broader and have a contact tag of which booking is one of the, which I think is a great idea. I think it's better. I think it is better. I think that's, and, but he, he already shows the different examples of how it could work in different. 928 01:13:50,219 --> 01:13:55,399 different scenarios. So I think that is good. I think that's a broader way of looking at it. 929 01:13:55,399 --> 01:14:11,851 And I mean, I just, I think I just, oh, we just need a booking tag. That's easy. But this as a contact is broader, more usable, and even has some examples like sponsor, pitch guest, invite interview, feedback, which is interesting. 930 01:14:12,451 --> 01:14:13,067 Um, 931 01:14:13,795 --> 01:14:15,599 And that's really what contact is. 932 01:14:16,587 --> 01:14:18,163 But you can specify it. 933 01:14:18,891 --> 01:14:34,675 If it's just feedback, this is the email address. If it's sponsor-related, here's the number you call. If it's a pitch, here's the booking system we use, et cetera, et cetera. I think that's great. I think he did a good job on that. 934 01:14:36,779 --> 01:14:44,019 When I first saw Daniel say, hey, why don't we do it this other way? I was like, oh, my God, here comes a JSON file. 935 01:14:44,715 --> 01:14:55,899 And then it ended up not being the case. He wrote a very good proposal. It's good. And now we have a quicker way to conduct. 936 01:14:55,899 --> 01:15:02,271 to know who to call on our segment of where we call scammers. Yes. Hello. 937 01:15:03,351 --> 01:15:15,899 I'm Sam looking for my boyfriend. We need another one of those segments, Dave. Get me one of those numbers for next show. I'll bring you a fresh one next week. All right. Thanks to people in our Value for Value project is what podcastindex.org. 938 01:15:15,927 --> 01:15:37,199 is you can go take a look at it you've already heard what it is where it started six years ago why we're doing it why we do it well we didn't explain why we do it for no money other than it's somehow our job and so we're doing it because we're nuts because we're nuts you know some some dude in Alabama with some chickens some dude in Texas 939 01:15:37,227 --> 01:15:57,699 With some guns. With some guns. With some guns. With some guns. And you can support us through Value for Value, your time, your talent, or your treasure. We love the Fiat Fund coupons. You can do that by going to podcastindex.org. Down at the bottom, there's a big red donate button. You can send it to our PayPal, which accepts a whole bunch of different payment methods. 940 01:15:57,759 --> 01:16:10,439 Through the boosts, the booster grams with the modern podcasting 2.0 apps. And we say thank you for the 100 sats from Lyceum. That's Martin Lindus Koch. Oh, he's actually talking. Is he talking back and forth with Sam? 941 01:16:11,295 --> 01:16:18,299 They're doing a co-listening party. Yeah, co-listening. Okay. Let me see if I can go back. 942 01:16:19,383 --> 01:16:38,699 So 1776, I'm going back in time a little bit. It is Labor Day in Europe on May Day. Celebrate spring, indie podcasters unite. Here's a Liberty Boost with 1776 Satoshis. Co-listening and chatting with Sam Sethi on truefans.fm. Go podcasting. This month I will celebrate 20 years of podcasting. 943 01:16:38,759 --> 01:16:44,751 I will wear my Podcasting 2.0 certified t-shirt on my birthday, May 25th. All the best from Martin. 944 01:16:45,159 --> 01:16:49,615 And so then he has a note to Sam. Sam said. 945 01:16:50,119 --> 01:16:58,199 With 1892 sats, next week's power will be all about Fountain's push into music and their recent music event in London. 946 01:16:58,291 --> 01:17:18,499 We'll also talk about their new music hosting platform and support for premium RSS. Plus, James and I will be reviewing all the new video pricing announcements from Buzzsprout, Captivate, Flightcast, Libsyn, etc. Already actioned your request for follow counts. Told you. Coming next week. Nice. Plus the contact slash booking tag. Woo! Sending you a Liverpool FC... 947 01:17:18,499 --> 01:17:26,695 Supercomic, oh, Liverpool Football Club was founded in 1892. Ooh, very nice. Oh, that's a good book. So what we need now, Eric Pee Pee. 948 01:17:27,327 --> 01:17:29,351 is when we have this co-listening. 949 01:17:29,759 --> 01:17:39,199 That Sam is doing with with Martin we need threaded boost the grams on the helipad I'm just saying it needs to be threaded now 950 01:17:39,803 --> 01:17:59,699 And so Martin replies, Sam, cool beans. Did you listen to Fountain's live show? I tried to find it here on True Fans, but I listened to it for a bit on Fountain.fm. I am a synth pop guy, so hip hop rap is not my cup of tea, lol. The venue in London is a classical building, right? Okay, so they're just talking to each other and I'm reading it. I don't know what I'm doing here. 951 01:17:59,727 --> 01:18:05,847 co-parenting. Between the two of them, they birthed a boost. 952 01:18:06,223 --> 01:18:16,279 $29.97 from Silas on Linux. As long as you don't have a whitelist for proposals, can I AI generate new tag proposals in a loop every second? Good luck. 953 01:18:17,167 --> 01:18:19,799 Yeah, please do. 1701. 954 01:18:19,799 --> 01:18:28,283 from Martin again. Dave, have you read the book Generation 64? How the Commodore 64 inspired a generation of Swedish gamers? 955 01:18:28,787 --> 01:18:40,799 Ooh, I have not read that. That sounds like something I will be reading there. Yes. 3333 from Hey Citizen, just returning value on a completely unrelated note. I hope you remember that I have over 1 billion subscribers. 956 01:18:40,799 --> 01:18:44,291 subscribers and should appear at the top of most searches on the index. 957 01:18:44,827 --> 01:18:46,499 Catch you covered. 958 01:18:47,195 --> 01:18:55,043 29.97 from C. Brooklyn. Thank you very much. 55.55 from Salty Crayon. And he says he's sending some V for V for the chicken guy. 959 01:18:55,643 --> 01:19:00,899 There's $39.96 from C-Loss on Linux. Bark for me did that and I hit the delimiter, so. 960 01:19:00,899 --> 01:19:02,215 It's over to you, Dave. 961 01:19:02,591 --> 01:19:07,559 I got some PayPals. We got 533 from Michael Kimmerer. 962 01:19:07,999 --> 01:19:20,399 Thank you, Michael. Thank you. Yeah, Drebscott, 15 bucks. Hey, Dreb. Thank you, Dreb. Dreb, what is your weight now? We need a weight. He used to keep me updated. I don't know how he's doing on that. 963 01:19:20,427 --> 01:19:25,363 No, he can just vibe code like a scale thing that'll shoot you an email automatically. Yes. 964 01:19:25,803 --> 01:19:33,043 Chris Bernardick, five bucks. Thank you, Chris. We got a new monthly subscriber, $10 a month. 965 01:19:33,579 --> 01:19:35,987 from uh who is this from 966 01:19:36,747 --> 01:19:38,003 Mark Van Patten. 967 01:19:39,403 --> 01:19:40,275 uh 968 01:19:42,171 --> 01:19:50,723 Says MVP, go podcasting. Yes, MVP is a maker of many fine AI slop end-of-show mixes on the No Agenda Show. 969 01:19:51,163 --> 01:19:55,043 Oh, really? Van Tatton. That sounds Dutch. Yes, I think he is. 970 01:19:55,771 --> 01:20:01,299 Charles Hicks. Five bucks. Thank you, Charles. Appreciate that. We got... 971 01:20:01,391 --> 01:20:04,407 Cameron Rose, $25. Thank you, Cameron. 972 01:20:04,943 --> 01:20:06,039 Ralph Esther. 973 01:20:06,863 --> 01:20:12,951 $50. Whoa, I'm going to hit a baller for that. 974 01:20:16,367 --> 01:20:21,799 ralph appreciate that and that's all the paypals and then we've got i only show one booster gram 975 01:20:23,267 --> 01:20:25,707 Yeah. And that's from Common Street Blogger. Okay. 976 01:20:26,051 --> 01:20:41,299 It's really not a delimiter if it's just the one comma in the file, right? You know, it's a hard stop. Hard stop, yeah. 20,000 saps from Comedy Street Blogger through Fountain. He says, Howdy, Dave and Adam. Please tell your audience to subscribe. 977 01:20:41,327 --> 01:20:54,615 Subscribe to a podcast by Daniel J. Lewis and his son, www.nontopical.com. It's about, quote, a father and son walk and talk about everything and nothing at all, unquote. 978 01:20:55,183 --> 01:21:00,599 have some fun topics. Give it a listen. Yo, CSB, AI Arch Wizard. 979 01:21:00,819 --> 01:21:05,243 still stonewalled by Adam. This was $15.43 when sent. 980 01:21:06,003 --> 01:21:10,427 Uh, I'm sorry CSB. It's just been crazy, man. It's been crazy. 981 01:21:10,963 --> 01:21:18,139 That's going to be the subtitle of CSB's autobiography. Stonewalled by Adam. Adam never got on my podcast. 982 01:21:19,523 --> 01:21:23,179 Daniel J. Lewis, I didn't know you were doing it. You're kids talking, huh? 983 01:21:23,715 --> 01:21:27,307 I didn't know that either. I woke up one day and his kid's talking, doing a podcast. 984 01:21:28,035 --> 01:21:29,451 Daniel said that's not him. 985 01:21:29,923 --> 01:21:30,539 Oh. 986 01:21:31,171 --> 01:21:39,299 Oh, it's an AI forgery. Ah, there you go. Slop! Slopcast! He got slopjacked. Slopjacked. 987 01:21:39,743 --> 01:21:51,175 Yeah, somebody slop jacked his voice. Slop jack. Thank you. Show title. I needed that. At the last minute. At the last minute. Anything else or is that all it? That's it? 988 01:21:52,095 --> 01:21:52,551 Huh? 989 01:21:53,631 --> 01:21:55,335 I guess that's it. I think that's it. Yeah. 990 01:21:55,775 --> 01:21:59,499 Uh, yeah, I got, I mean, I've, I've got. 991 01:21:59,687 --> 01:22:01,167 10 pages of stuff here, but... 992 01:22:01,703 --> 01:22:09,071 Why read it now when I've been collecting it for a year and a half? So that's nontopical.com, Daniel J. 993 01:22:10,151 --> 01:22:14,799 www.nontopical.com 994 01:22:15,399 --> 01:22:16,815 topical.com 995 01:22:18,375 --> 01:22:18,959 Hmm. 996 01:22:19,687 --> 01:22:22,031 We discuss true ultimate power. 997 01:22:22,727 --> 01:22:23,759 What is... What... 998 01:22:24,807 --> 01:22:26,927 Man. Is this a slobcast? 999 01:22:27,655 --> 01:22:30,511 Have you been drinking, brother? 1000 01:22:31,751 --> 01:22:35,311 I'm not sure I understand in any way what this is. Oh. 1001 01:22:35,783 --> 01:22:40,299 No agenda millennial says do not google slop jacking. Okay, that's good 1002 01:22:40,327 --> 01:22:55,151 point yeah any urban dictionary avoid it please all right brother dave thank you so much brother for all you're doing you are a you are a hero amongst men uh boardroom thank you all for being here and of course we will actually 1003 01:22:55,591 --> 01:23:00,099 I think I'll be in Europe next Friday. We'll let you know if we have a board meeting or not. 1004 01:23:00,191 --> 01:23:02,887 Until then, have a great weekend. Yes, adios. 1005 01:23:20,791 --> 01:23:24,383 Podcasting 2.0. Visit Podcast Index. 1006 01:23:24,887 --> 01:23:25,919 for more information.