1 00:00:02,440 --> 00:00:08,160 Speaker 1: Alzo Media. Hello and welcome to this week's Better Offline Monologue. 2 00:00:08,160 --> 00:00:18,520 Speaker 1: I'm your host ed ZiT Tron and sorry that there 3 00:00:18,520 --> 00:00:21,120 Speaker 1: hasn't been a monologue for a few weeks. These massive 4 00:00:21,120 --> 00:00:23,119 Speaker 1: episodes have been putting together, took up my time in 5 00:00:23,160 --> 00:00:25,520 Speaker 1: a way that made them a little impractical, and as 6 00:00:25,520 --> 00:00:27,520 Speaker 1: far as the show goes, I know it's been very 7 00:00:27,560 --> 00:00:31,240 Speaker 1: AI focused. I can't even say AI right sometimes. But anyway, 8 00:00:31,920 --> 00:00:34,760 Speaker 1: this is likely going to continue for a while because, 9 00:00:34,840 --> 00:00:37,080 Speaker 1: as you can tell from the news, crazy shit keeps 10 00:00:37,080 --> 00:00:40,319 Speaker 1: happening every day. Every day Sam Altman tells somebody he's 11 00:00:40,320 --> 00:00:42,920 Speaker 1: going to give them a billion dollars. It's all so silly, 12 00:00:43,280 --> 00:00:45,640 Speaker 1: and I do feel like it's not being covered very thoroughly, 13 00:00:45,760 --> 00:00:48,960 Speaker 1: so I'm doing my best to do so. Nevertheless, I 14 00:00:49,200 --> 00:00:51,000 Speaker 1: promise I'm going to find a way to bring in 15 00:00:51,040 --> 00:00:54,680 Speaker 1: more non AI stuff. I'm not really sure how it's 16 00:00:54,720 --> 00:00:56,640 Speaker 1: going to make it in there. I'll do my best, 17 00:00:56,680 --> 00:00:59,360 Speaker 1: and I'm already working on CES twenty twenty six, which 18 00:00:59,400 --> 00:01:01,319 Speaker 1: I think is going to be probably the best tech 19 00:01:01,360 --> 00:01:05,840 Speaker 1: podcasting thing ever. Got some incredible guests Chloe Radcliffe of course, 20 00:01:05,959 --> 00:01:09,120 Speaker 1: Edward Anguiso Junior, David Roth, and yeah, those guests I 21 00:01:09,160 --> 00:01:10,880 Speaker 1: can't quite talk about yet, but they're gonna make you 22 00:01:10,920 --> 00:01:12,839 Speaker 1: really happy, and it's gonna be about more than just AI. 23 00:01:13,640 --> 00:01:16,600 Speaker 1: That being said, next week's episode is likely to be 24 00:01:16,640 --> 00:01:19,240 Speaker 1: AI focused, as I've had a lot of people request 25 00:01:19,240 --> 00:01:21,360 Speaker 1: they do an episode that's a simplified guide to the 26 00:01:21,400 --> 00:01:24,039 Speaker 1: AI bubble, something that they can share with people that 27 00:01:24,040 --> 00:01:26,600 Speaker 1: aren't sticking their head and the technological or financial septic 28 00:01:26,640 --> 00:01:30,000 Speaker 1: tank every day. And look, I think you're gonna love it. 29 00:01:30,520 --> 00:01:33,039 Speaker 1: You can please listen to it anyway. I need the downloads, 30 00:01:33,080 --> 00:01:35,720 Speaker 1: but in all seriousness, I think it's gonna be something, 31 00:01:35,760 --> 00:01:37,600 Speaker 1: and I've been working on it for a few days now. 32 00:01:37,800 --> 00:01:40,880 Speaker 1: That's quite short and sharp, but we'll speak to people 33 00:01:40,920 --> 00:01:43,600 Speaker 1: who are not technical or financial at all. I think 34 00:01:43,600 --> 00:01:46,800 Speaker 1: it'll be great and if not shows free you'll enjoy it. 35 00:01:46,840 --> 00:01:49,160 Speaker 1: But I also do just want to say I really 36 00:01:49,200 --> 00:01:51,960 Speaker 1: appreciate how many of you listen every week. I really 37 00:01:52,000 --> 00:01:55,040 Speaker 1: appreciate your patience with the AI stuff. You seem to 38 00:01:55,080 --> 00:01:57,520 Speaker 1: all really enjoy it. But I do love to hear 39 00:01:57,520 --> 00:02:00,400 Speaker 1: from you whenever I can, so reach out now. Please 40 00:02:00,440 --> 00:02:02,120 Speaker 1: don't be too mean, though I do have a heart, 41 00:02:02,520 --> 00:02:06,120 Speaker 1: But yes, this Week's monologue is somewhat of a big story. 42 00:02:06,920 --> 00:02:09,480 Speaker 1: So two days ago Fortune published a story saying that, 43 00:02:09,520 --> 00:02:11,680 Speaker 1: according to dates from Deutsche Bank, which is a very 44 00:02:11,760 --> 00:02:15,160 Speaker 1: very large bank, that OpenAI subscription growth in Europe has 45 00:02:15,160 --> 00:02:17,960 Speaker 1: stalled and is and I quote flatlining in the major 46 00:02:18,000 --> 00:02:21,799 Speaker 1: European markets over the past four months. To quote Fortune, 47 00:02:21,880 --> 00:02:24,799 Speaker 1: the data was drawn from transactions processed by third party 48 00:02:24,840 --> 00:02:29,520 Speaker 1: financial institutions. Really nailed that word in the UK, Germany, France, 49 00:02:29,600 --> 00:02:33,040 Speaker 1: Italy and Spain, representing fifteen percent of Chat GPT users. 50 00:02:33,440 --> 00:02:35,760 Speaker 1: And if you're wondering, the top software markets in the 51 00:02:35,800 --> 00:02:39,240 Speaker 1: world are US, China, Germany, UK, France, and Italy, and 52 00:02:39,280 --> 00:02:41,640 Speaker 1: then there's Canada and some others. To be clear, this 53 00:02:41,680 --> 00:02:45,040 Speaker 1: specifically refers to people paying for Chat GPT subscriptions the 54 00:02:45,080 --> 00:02:47,360 Speaker 1: twenty buck a month one most likely, and in a 55 00:02:47,400 --> 00:02:49,320 Speaker 1: graph I'll link to in the show notes, you really 56 00:02:49,360 --> 00:02:52,160 Speaker 1: should look at it. Open Ai subscription growth in Europe 57 00:02:52,200 --> 00:02:54,520 Speaker 1: has been pretty rocky from the beginning, dropping from ten 58 00:02:54,520 --> 00:02:57,400 Speaker 1: percent in June twenty twenty three to below zero percent 59 00:02:57,440 --> 00:03:00,359 Speaker 1: in August twenty twenty three, meaning growth to decline only 60 00:03:00,400 --> 00:03:02,840 Speaker 1: to recover slightly well pretty well, I guess the twenty 61 00:03:02,840 --> 00:03:05,160 Speaker 1: percent in December twenty twenty three, then drop again to 62 00:03:05,200 --> 00:03:08,920 Speaker 1: blow zero percent in February twenty twenty four. Otherwise, open 63 00:03:08,960 --> 00:03:11,920 Speaker 1: Ai barely scraped ten percent growth outside of some spikes 64 00:03:11,919 --> 00:03:14,400 Speaker 1: in September twenty twenty four around the launch of their 65 00:03:14,400 --> 00:03:16,960 Speaker 1: Reasoning models which got them to about fifteen percent, the 66 00:03:17,040 --> 00:03:20,200 Speaker 1: launch of their Useless Agent operator in January twenty twenty five, 67 00:03:20,240 --> 00:03:23,480 Speaker 1: which got them somehow to around eighty eighteen percent, and 68 00:03:23,480 --> 00:03:26,320 Speaker 1: then the launch of four Image Generation in March twenty 69 00:03:26,320 --> 00:03:29,040 Speaker 1: twenty five, which by the way was the studio Ghibliwank, 70 00:03:29,280 --> 00:03:31,720 Speaker 1: and that got them back to twenty ten percent, though 71 00:03:32,240 --> 00:03:34,520 Speaker 1: I realized that was a lot of numbers, and like 72 00:03:34,560 --> 00:03:37,240 Speaker 1: I said, the chart is in the episode Notes I swear. 73 00:03:37,440 --> 00:03:40,400 Speaker 1: But in June twenty twenty five, open Ai faced negative 74 00:03:40,440 --> 00:03:43,360 Speaker 1: growth of subscribers in Europe, barely recovering to two to 75 00:03:43,400 --> 00:03:45,880 Speaker 1: three percent in July twenty twenty five, and then back 76 00:03:45,880 --> 00:03:48,920 Speaker 1: to zero percent in August twenty twenty five, which looks 77 00:03:48,960 --> 00:03:51,520 Speaker 1: like they're maybe a mild recovery, coming to around three 78 00:03:51,560 --> 00:03:56,080 Speaker 1: percent in September. Now, while I'm not quite declaring victory 79 00:03:56,200 --> 00:03:58,880 Speaker 1: or blasting not like us, I am having trouble finding 80 00:03:58,880 --> 00:04:01,840 Speaker 1: a way around how bad. I can find no example 81 00:04:01,840 --> 00:04:04,520 Speaker 1: of a successful software revolution that started with high growth 82 00:04:04,560 --> 00:04:07,080 Speaker 1: and tumbled into the abyss in Europe. It didn't happen 83 00:04:07,120 --> 00:04:10,320 Speaker 1: with Facebook, and it certainly didn't happen in Uber's case, 84 00:04:10,440 --> 00:04:13,400 Speaker 1: even though European governments actively tried to reject it, and 85 00:04:13,480 --> 00:04:16,240 Speaker 1: some of them still are. It didn't happen with the smartphone, 86 00:04:16,279 --> 00:04:19,320 Speaker 1: or cloud computing, or really any other software revolution or device. 87 00:04:19,640 --> 00:04:22,239 Speaker 1: They would start from kind of nowhere and then grow, 88 00:04:22,440 --> 00:04:25,000 Speaker 1: and then there'd be wobbles, but they'd keep growing steadily. 89 00:04:25,320 --> 00:04:28,359 Speaker 1: This is a steady decline. And to be clear, this 90 00:04:28,400 --> 00:04:31,600 Speaker 1: has nothing to do with Europe's General Data Protection regulations 91 00:04:31,600 --> 00:04:34,000 Speaker 1: of the GDPR. Robert Evans once told me to spell 92 00:04:34,040 --> 00:04:37,159 Speaker 1: everything out. I've independently confirmed with the European chet GPT 93 00:04:37,400 --> 00:04:40,360 Speaker 1: users that the product is basically identical over there. Europe 94 00:04:40,400 --> 00:04:43,880 Speaker 1: just happens to be rejecting chet GPT. They don't want 95 00:04:43,880 --> 00:04:45,520 Speaker 1: to pay for it. And as you'll see when you 96 00:04:45,520 --> 00:04:47,880 Speaker 1: look at the graph, the boosts that open Ai gets 97 00:04:47,920 --> 00:04:51,559 Speaker 1: from throwing out new products, they're becoming less pronounced each time. 98 00:04:51,880 --> 00:04:54,440 Speaker 1: Other than operator that one kind of surprised me but 99 00:04:54,480 --> 00:04:58,120 Speaker 1: even then eighteen percent growth, and I think it's month 100 00:04:58,200 --> 00:05:00,560 Speaker 1: over month. If it's year over year, they wouldn't be 101 00:05:00,560 --> 00:05:03,000 Speaker 1: a year of year, it's month over month. Now. The GDPR, 102 00:05:03,040 --> 00:05:04,800 Speaker 1: by the way, will make it difficult for open ai 103 00:05:04,839 --> 00:05:07,359 Speaker 1: to launch advertising, which I will add will not be 104 00:05:07,440 --> 00:05:09,960 Speaker 1: the saving grace for this company, because Google and Meta's 105 00:05:10,040 --> 00:05:13,600 Speaker 1: massive advertising revenues come from decades of data and expertise 106 00:05:13,640 --> 00:05:16,280 Speaker 1: in forcing them down customers throats, as well as having 107 00:05:16,279 --> 00:05:19,760 Speaker 1: a very compelling product and thousands of salespeople and also, 108 00:05:19,800 --> 00:05:22,200 Speaker 1: in Google's case, thousands of miles of underground cable and 109 00:05:22,279 --> 00:05:24,560 Speaker 1: under the c cable. I believe as well people that 110 00:05:24,560 --> 00:05:27,039 Speaker 1: are easily scared of suggesting the open AI's data on 111 00:05:27,160 --> 00:05:29,240 Speaker 1: users is rich because they feed so much into it. 112 00:05:29,520 --> 00:05:32,080 Speaker 1: This point makes the assumption that this data is useful 113 00:05:32,320 --> 00:05:34,560 Speaker 1: and that open ai can actually do anything with it, 114 00:05:34,600 --> 00:05:38,000 Speaker 1: despite having absolutely no expertise in selling ads. As a 115 00:05:38,000 --> 00:05:41,200 Speaker 1: reminder perplexity that an AI search engine, you'd think would 116 00:05:41,200 --> 00:05:43,760 Speaker 1: be the perfect place for ads, they made twenty grand, 117 00:05:44,360 --> 00:05:48,799 Speaker 1: twenty thousand dollars selling ads in twenty twenty four. That's bollocks. 118 00:05:48,839 --> 00:05:52,200 Speaker 1: It's terrible. You make more selling dogs. They will watch 119 00:05:52,240 --> 00:05:54,760 Speaker 1: the day to day might be auctioning dogs. Anyway, my 120 00:05:54,880 --> 00:05:57,560 Speaker 1: rambling aside, it's very easy to get scared of this 121 00:05:57,600 --> 00:05:59,360 Speaker 1: company and just think, oh, they have a lot of 122 00:05:59,400 --> 00:06:01,960 Speaker 1: money in you. Even though they lose billions, they'll just 123 00:06:02,000 --> 00:06:04,880 Speaker 1: put ads in and that'll fix everything. I must caution 124 00:06:05,080 --> 00:06:08,560 Speaker 1: you to immediately be a doomer there. I see no 125 00:06:08,720 --> 00:06:11,640 Speaker 1: real evidence that they're going to find another business line 126 00:06:12,000 --> 00:06:14,240 Speaker 1: in mostly evidence by the fact they've never been able 127 00:06:14,279 --> 00:06:17,039 Speaker 1: to find one. And while this isn't declarative proof that 128 00:06:17,080 --> 00:06:19,600 Speaker 1: this company is circling the drain, I don't know how 129 00:06:19,640 --> 00:06:21,880 Speaker 1: else to look at it as anything other than their 130 00:06:21,920 --> 00:06:24,760 Speaker 1: growth story in Europe is dying and they're building a 131 00:06:24,760 --> 00:06:27,440 Speaker 1: goddamn data center in England. I think with n Scale, 132 00:06:27,440 --> 00:06:29,360 Speaker 1: the company that's never built an AI data center in 133 00:06:29,400 --> 00:06:31,960 Speaker 1: their life. To be fair, that's also the case with Crusoe. 134 00:06:31,960 --> 00:06:35,440 Speaker 1: In fact, all of Openay's partners pretty much never built 135 00:06:35,480 --> 00:06:38,000 Speaker 1: a data center of any kind other than crypto ones, 136 00:06:38,000 --> 00:06:40,560 Speaker 1: which are completely different. Also, no one's built a gig 137 00:06:40,600 --> 00:06:43,080 Speaker 1: what data center. Ah, that's going to be a future episode. 138 00:06:43,120 --> 00:06:45,400 Speaker 1: Forgive me. I want to educate you on data centers 139 00:06:45,440 --> 00:06:47,480 Speaker 1: one day, but every time I start thinking about them. 140 00:06:47,520 --> 00:06:51,280 Speaker 1: My brain starts playing that music from kill Bill when 141 00:06:51,360 --> 00:06:53,760 Speaker 1: she looks anyone she's mad at. Someone's going to email 142 00:06:53,800 --> 00:06:56,920 Speaker 1: me and say, Perry Mason Christ. The great thing about 143 00:06:56,920 --> 00:06:59,640 Speaker 1: these monologues is I could just talk about whatever I 144 00:06:59,640 --> 00:07:01,560 Speaker 1: want to. They say I should do this, which is 145 00:07:01,600 --> 00:07:05,080 Speaker 1: what I'm gonna do. But in reality, back to the 146 00:07:05,080 --> 00:07:07,880 Speaker 1: thing we're talking about, it really is hard to read 147 00:07:07,920 --> 00:07:10,480 Speaker 1: this as anything other than air escaping the bubble. It's 148 00:07:10,520 --> 00:07:13,440 Speaker 1: been pissed, I swear to God, and perhaps it's the 149 00:07:13,600 --> 00:07:17,040 Speaker 1: error of smiles beginning. A specter is haunting Silicon Valley, 150 00:07:17,280 --> 00:07:20,280 Speaker 1: the face of the smiling man, and I hope you'll 151 00:07:20,360 --> 00:07:22,160 Speaker 1: join me every week to find out how this shit 152 00:07:22,280 --> 00:07:25,960 Speaker 1: bursts or I don't know, whatever crazy crap Sam Mortman 153 00:07:26,000 --> 00:07:26,800 Speaker 1: promises next