1 00:00:03,200 --> 00:00:07,840 Speaker 1: Media. Hello, and welcome to this week's Better Offline Monologue. 2 00:00:07,920 --> 00:00:19,280 Speaker 1: I'm your host ed ze Trunk. Now. I'm turning forty 3 00:00:19,400 --> 00:00:21,800 Speaker 1: in a month or so, and at four years young, 4 00:00:21,920 --> 00:00:24,840 Speaker 1: I'm old enough to remember as far back as December eleventh, 5 00:00:24,840 --> 00:00:27,400 Speaker 1: twenty twenty five, when Disney and open Ai reached an 6 00:00:27,440 --> 00:00:31,040 Speaker 1: agreement to bring beloved characters from across Disney's brands to 7 00:00:31,160 --> 00:00:34,760 Speaker 1: sourer open AI's video platform. As part of the deal, 8 00:00:34,800 --> 00:00:37,479 Speaker 1: Disney would and i quote, become a major customer of 9 00:00:37,520 --> 00:00:40,560 Speaker 1: open Ai, use its API to build new products, tools 10 00:00:40,560 --> 00:00:43,560 Speaker 1: and experiences, as well as showing Sora videos in Disney 11 00:00:43,560 --> 00:00:46,680 Speaker 1: Plus and deploy chat GPT for its employees, as well 12 00:00:46,680 --> 00:00:50,040 Speaker 1: as making a one billion dollar equity investment in open Ai. 13 00:00:50,720 --> 00:00:53,720 Speaker 1: Except now, Sora is dead shot in the head by Clammy, 14 00:00:53,760 --> 00:00:56,680 Speaker 1: Sam Altman and open Ai because it cost fifteen million 15 00:00:56,720 --> 00:00:59,240 Speaker 1: dollars or more to run and had everybody making videos 16 00:00:59,240 --> 00:01:02,800 Speaker 1: of Goofy saying gorsh hold fuck anything that moves like 17 00:01:02,880 --> 00:01:06,040 Speaker 1: Frank from Blue Velvet. To be clear, open aye is 18 00:01:06,040 --> 00:01:08,760 Speaker 1: shutting down both Sora the app and access to the 19 00:01:08,840 --> 00:01:12,720 Speaker 1: SAA video model through its API, framing the changes, focusing 20 00:01:12,760 --> 00:01:15,400 Speaker 1: the company on business and enterprise customers, which is a 21 00:01:15,440 --> 00:01:18,480 Speaker 1: euphemism for a product that never had any real business 22 00:01:18,480 --> 00:01:21,560 Speaker 1: model or product market fit other than burning millions of 23 00:01:21,560 --> 00:01:26,200 Speaker 1: dollars of computerday and violating copyright. I think it's also 24 00:01:26,319 --> 00:01:29,600 Speaker 1: completely insane that nobody bothered to check whether Disney had 25 00:01:29,640 --> 00:01:33,160 Speaker 1: ever invested or even talked about investing that billion dollars. 26 00:01:33,400 --> 00:01:34,800 Speaker 1: I went and had a look, and there wasn't a 27 00:01:34,880 --> 00:01:37,640 Speaker 1: damn thing in any of the Disney's most recent quarterly 28 00:01:37,720 --> 00:01:40,720 Speaker 1: or annual reports. I should have checked this myself, but 29 00:01:40,760 --> 00:01:43,280 Speaker 1: it's wild that nobody else did either. There are business 30 00:01:43,319 --> 00:01:45,840 Speaker 1: and tech reporters, there are people that do this full 31 00:01:46,240 --> 00:01:49,680 Speaker 1: I but I also want to take this moment to 32 00:01:49,680 --> 00:01:54,640 Speaker 1: say something for the bottom my heart. I was right. 33 00:01:54,800 --> 00:01:56,880 Speaker 1: I was fucking right. I said it back in October. 34 00:01:57,000 --> 00:01:59,000 Speaker 1: I've said it. I said it back in twenty twenty four. 35 00:01:59,200 --> 00:02:03,720 Speaker 1: SAA was never business. SAURA was never replacing anything. SAURA 36 00:02:03,920 --> 00:02:08,400 Speaker 1: was always unreliable because the hallucination prone, large language model 37 00:02:08,400 --> 00:02:11,919 Speaker 1: bullshit it's built upon. It was never gonna work. Everyone 38 00:02:11,919 --> 00:02:14,960 Speaker 1: who said otherwise is a goddamn rube, and so many 39 00:02:15,000 --> 00:02:18,480 Speaker 1: people were wrong. The app that CNBC said was challenging 40 00:02:18,480 --> 00:02:21,280 Speaker 1: Hollywood and freaking out the movie industry, and The Hollywood 41 00:02:21,280 --> 00:02:24,560 Speaker 1: Reporter would suggest could somehow challenge Pixar and with sam 42 00:02:24,800 --> 00:02:28,280 Speaker 1: when successfully playing Hollywood, and the fucking anklo who should 43 00:02:28,280 --> 00:02:31,200 Speaker 1: be ashamed of themselves said, was Open Ai going to 44 00:02:31,240 --> 00:02:34,360 Speaker 1: war with Hollywood as it shook the industry, and Deadline 45 00:02:34,600 --> 00:02:37,600 Speaker 1: said made Hollywood sow and Boardrooms said was in a 46 00:02:37,639 --> 00:02:40,720 Speaker 1: standoff with Hollywood, and The La Times said was deepening 47 00:02:40,760 --> 00:02:43,400 Speaker 1: a battle between Hollywood and Open AI and igniting a 48 00:02:43,440 --> 00:02:47,480 Speaker 1: firestorm in Hollywood, and Puck said had Hollywood panicking, and 49 00:02:47,600 --> 00:02:50,200 Speaker 1: tech No Lama said was the end of copyright as 50 00:02:50,240 --> 00:02:52,560 Speaker 1: we know it, and Slat said was a case of 51 00:02:52,600 --> 00:02:56,320 Speaker 1: AI crushing Hollywood as it as we've known it, and 52 00:02:56,320 --> 00:02:57,880 Speaker 1: that I swear to God I wrote that right in 53 00:02:57,919 --> 00:03:00,600 Speaker 1: the script. But I'm keeping going anyway. This thing's completely 54 00:03:00,639 --> 00:03:03,080 Speaker 1: dead a little more than five months after everybody claimed 55 00:03:03,080 --> 00:03:06,680 Speaker 1: it was changing everything. You all were wrong, every single 56 00:03:06,720 --> 00:03:10,240 Speaker 1: goddamn wrong, wrong, wrong, wrong, wrong, wrong, on the wrong, 57 00:03:10,280 --> 00:03:12,639 Speaker 1: a sandwich of wrong that you're shoving up your asshole. 58 00:03:12,680 --> 00:03:16,840 Speaker 1: I'm so fucking tired of this. I cannot express how 59 00:03:16,880 --> 00:03:21,120 Speaker 1: angry I am, because it's almost as if everybody making 60 00:03:21,160 --> 00:03:25,200 Speaker 1: these proclamations, was instinctively printing whatever marketing copy had been 61 00:03:25,240 --> 00:03:29,040 Speaker 1: imagined by the AI labs to promote compute intensive vaporware. 62 00:03:29,200 --> 00:03:31,960 Speaker 1: And absolutely nobody is going to apologize to the people 63 00:03:32,000 --> 00:03:34,560 Speaker 1: working in the entertainment industry for scaring the fuck out 64 00:03:34,600 --> 00:03:37,680 Speaker 1: of them with ghost stories for no apparent reason. Every 65 00:03:37,920 --> 00:03:41,000 Speaker 1: single person who blindly repeated that SAURA existed and was 66 00:03:41,080 --> 00:03:44,400 Speaker 1: changing everything should be forced to apologize to their readers. 67 00:03:45,360 --> 00:03:48,280 Speaker 1: I cannot express the sheer amount of panic that spread 68 00:03:48,280 --> 00:03:51,040 Speaker 1: through every single part of the entertainment industry as a 69 00:03:51,040 --> 00:03:54,600 Speaker 1: result of these specious, poorly founded mythologies spread by people 70 00:03:54,600 --> 00:03:56,840 Speaker 1: that didn't give enough of a shit to understand what 71 00:03:57,040 --> 00:04:00,480 Speaker 1: was actually going on. Saura too, was always an act 72 00:04:00,480 --> 00:04:03,160 Speaker 1: of desperation, an attempt to create a marketing cycle to 73 00:04:03,200 --> 00:04:04,760 Speaker 1: prop up a tool that was burning as much as 74 00:04:04,800 --> 00:04:07,360 Speaker 1: fifty million dollars a day. The most of the mainstream 75 00:04:07,400 --> 00:04:10,720 Speaker 1: media bought into because they believe everything Open AI says 76 00:04:10,880 --> 00:04:13,320 Speaker 1: and are willing to extrapolate the destruction of an entire 77 00:04:13,360 --> 00:04:16,279 Speaker 1: industry from a fucking facade driven by a clammy man 78 00:04:16,320 --> 00:04:19,520 Speaker 1: that lies for a living. I am tired of everybody 79 00:04:19,560 --> 00:04:22,760 Speaker 1: scarfing down the slot from these companies. I'm tired of 80 00:04:22,800 --> 00:04:25,039 Speaker 1: the majority of reporters not doing the hard work to 81 00:04:25,040 --> 00:04:28,800 Speaker 1: actually understand what's going on. And good lord, do I 82 00:04:28,839 --> 00:04:31,960 Speaker 1: not have another example? Well? I do, Eh, you get 83 00:04:31,960 --> 00:04:35,000 Speaker 1: what I mean. I spent the last week or so 84 00:04:35,080 --> 00:04:37,800 Speaker 1: trying to work out how many actual data centers got 85 00:04:37,839 --> 00:04:40,919 Speaker 1: built last year and found that despite somewhere between one 86 00:04:41,000 --> 00:04:44,280 Speaker 1: hundred and ninety two hundred and forty gigawats supposed capacity 87 00:04:44,360 --> 00:04:47,480 Speaker 1: being announced, based on my analysis, only three gigawats of 88 00:04:47,520 --> 00:04:50,120 Speaker 1: IT load, which is the GPUs and the associated hardware 89 00:04:50,120 --> 00:04:53,000 Speaker 1: that's being turned on, got built in America in twenty 90 00:04:53,040 --> 00:04:56,680 Speaker 1: twenty five. To explain how bad this number, three gigawatts 91 00:04:56,720 --> 00:04:59,640 Speaker 1: of critical IT hardware is about ninety billion dollars per 92 00:05:00,240 --> 00:05:02,599 Speaker 1: Darling of TD Cohen and in Video sold about one 93 00:05:02,680 --> 00:05:04,800 Speaker 1: hundred and thirty five billion dollars worth of GPUs and 94 00:05:04,920 --> 00:05:08,960 Speaker 1: hardware to America in its last fiscal year. Based on 95 00:05:09,000 --> 00:05:11,240 Speaker 1: the last quarter of sales, which is in the sixty 96 00:05:11,279 --> 00:05:13,960 Speaker 1: two billion dollar range, sixty nine percent of that nice 97 00:05:14,080 --> 00:05:17,160 Speaker 1: is America. It now takes about six months to install 98 00:05:17,160 --> 00:05:21,520 Speaker 1: a single quarters sales worth of GPUs and associated hardware, 99 00:05:22,400 --> 00:05:24,400 Speaker 1: even if you think AI is the biggest and most 100 00:05:24,440 --> 00:05:27,160 Speaker 1: hugest and most special. Boy, what's the fucking point of 101 00:05:27,200 --> 00:05:30,679 Speaker 1: buying these GPUs two to four years in advance, Because 102 00:05:30,720 --> 00:05:33,599 Speaker 1: even if it takes six it takes six months to 103 00:05:33,640 --> 00:05:36,719 Speaker 1: install a single quarters worth of sales. From what I found, 104 00:05:36,760 --> 00:05:39,680 Speaker 1: it's actually taking a lot longer. In some cases. Jensen 105 00:05:39,760 --> 00:05:42,279 Speaker 1: Hwang is announcing a new GPU every year. By the 106 00:05:42,320 --> 00:05:45,040 Speaker 1: time you install your Blackwells, they'll already have Vera Ruben. 107 00:05:45,240 --> 00:05:47,640 Speaker 1: By the time they have Vera Ruben, they'll have something else. 108 00:05:47,680 --> 00:05:49,840 Speaker 1: I don't know, Daphnie from Scooby Doo. They can have 109 00:05:50,200 --> 00:05:52,680 Speaker 1: no These things are the only cool thing that Nvidia 110 00:05:52,720 --> 00:05:55,880 Speaker 1: does is choosing the names of people anyway. And with 111 00:05:55,920 --> 00:05:59,359 Speaker 1: every new generation of these GPUs comes new power requirements 112 00:05:59,360 --> 00:06:02,320 Speaker 1: and rack side While the first generation of Vera Ruben, 113 00:06:02,360 --> 00:06:04,480 Speaker 1: which is the next gen coming out very soon, will 114 00:06:04,520 --> 00:06:07,559 Speaker 1: fit into the current Oberon in video racks and video 115 00:06:07,640 --> 00:06:11,480 Speaker 1: is already teasing it's Kiber racks, which will require even 116 00:06:11,480 --> 00:06:14,560 Speaker 1: more power, even more liquid cooling, which will mean those 117 00:06:14,880 --> 00:06:19,520 Speaker 1: ooh ew ew, those old, stinky, dirty blackwells, You're gonna 118 00:06:19,520 --> 00:06:21,680 Speaker 1: have to throw them right in the trash. No more 119 00:06:21,720 --> 00:06:25,640 Speaker 1: black well for me. Thanks, they've got Verra Rubin in town. Ew. 120 00:06:25,839 --> 00:06:30,600 Speaker 1: You're gonna make me use blackwell? How gross? Ew Jensen 121 00:06:30,640 --> 00:06:34,320 Speaker 1: put those stinky blackwells in the toilet. Ew, you couldn't 122 00:06:34,320 --> 00:06:37,160 Speaker 1: fit in the far too large I've tried yet. Things 123 00:06:37,240 --> 00:06:39,680 Speaker 1: only get worse when you look at the actual construction 124 00:06:39,800 --> 00:06:43,200 Speaker 1: in process per Siteline Climate. Despite over one hundred and 125 00:06:43,240 --> 00:06:46,839 Speaker 1: ninety gigawatts of global capacity that's supposedly in process, with 126 00:06:46,960 --> 00:06:50,480 Speaker 1: sixteen gigwatts that's meant to come online this year, only 127 00:06:50,640 --> 00:06:54,280 Speaker 1: five gigawatts off, it is actually under construction, and under 128 00:06:54,279 --> 00:06:57,520 Speaker 1: constructure can mean everything from a single steel beam to 129 00:06:57,560 --> 00:07:01,000 Speaker 1: a nearly finished buildout. Walk around London some time. You 130 00:07:01,040 --> 00:07:03,640 Speaker 1: should just just look at building projects in London or 131 00:07:03,680 --> 00:07:06,240 Speaker 1: New York. Look at how quickly or not quickly those 132 00:07:06,279 --> 00:07:10,720 Speaker 1: get built. Oh, I don't know. Go look around Stargate 133 00:07:10,760 --> 00:07:13,400 Speaker 1: and all the data centers there. One of the infrastructure 134 00:07:13,400 --> 00:07:17,000 Speaker 1: people from open AI was boasting of the Wisconsin data 135 00:07:17,000 --> 00:07:19,360 Speaker 1: center the other day and he just had a single 136 00:07:19,400 --> 00:07:21,240 Speaker 1: steel beam. I'm not even fucking with you. It's just 137 00:07:21,280 --> 00:07:23,320 Speaker 1: a one beam. And they were like four guys. There's 138 00:07:23,360 --> 00:07:25,520 Speaker 1: three guys working on the beam and another guy walking 139 00:07:25,600 --> 00:07:29,360 Speaker 1: up to it. I love builders, but anyway, in my premium, 140 00:07:29,520 --> 00:07:32,240 Speaker 1: shit in my premium this week, just hit my microphone, 141 00:07:32,320 --> 00:07:35,480 Speaker 1: just going to keep going. I also dug into most 142 00:07:35,520 --> 00:07:37,720 Speaker 1: of the major data center projects that have been announced, 143 00:07:37,760 --> 00:07:40,040 Speaker 1: and then basically every case found that they had either 144 00:07:40,120 --> 00:07:43,240 Speaker 1: barely broken ground, hadn't actually picked the land yet, or 145 00:07:43,240 --> 00:07:46,160 Speaker 1: it stalled entirely, as was the case with fermi supposed 146 00:07:46,240 --> 00:07:49,200 Speaker 1: eleven giga what data center project in Amarillo, Texas, which 147 00:07:49,280 --> 00:07:53,200 Speaker 1: promptly dismissed workers in February after moving forward without permitting 148 00:07:53,280 --> 00:07:57,400 Speaker 1: or funding necessary to actually build the fucking thing. That's 149 00:07:57,400 --> 00:08:01,480 Speaker 1: a public company by the way, for Merick's gone, Oh god, 150 00:08:02,360 --> 00:08:07,280 Speaker 1: it slightly Avengers of assholes. Despite the many, many statements 151 00:08:07,520 --> 00:08:10,240 Speaker 1: the AI is inevitable or unstoppable, the reality is that 152 00:08:10,280 --> 00:08:12,800 Speaker 1: the things aren't getting built, billions of dollars aren't getting sent, 153 00:08:13,000 --> 00:08:16,360 Speaker 1: industries are left undisrupted, and the only people actually benefiting 154 00:08:16,360 --> 00:08:19,560 Speaker 1: are grifters, venture capitalists and banks providing debt to non 155 00:08:19,560 --> 00:08:23,120 Speaker 1: existent data center projects. Look, I believe by the end 156 00:08:23,160 --> 00:08:25,680 Speaker 1: of this era, to quote just Dario one him and 157 00:08:25,760 --> 00:08:28,680 Speaker 1: Kakashi the lone Gunman, these guys are two of the 158 00:08:28,720 --> 00:08:32,240 Speaker 1: best out there and their pseudonymous accounts. This era will 159 00:08:32,280 --> 00:08:34,920 Speaker 1: be remembered as the largest waste of capital in history. 160 00:08:35,400 --> 00:08:37,800 Speaker 1: Most data centers aren't getting built, and those that are 161 00:08:37,840 --> 00:08:40,320 Speaker 1: won't be ready before twenty to twenty seven at best. 162 00:08:40,920 --> 00:08:43,720 Speaker 1: Most AI startups make piddley amounts of revenue and burn 163 00:08:44,000 --> 00:08:46,480 Speaker 1: hundreds of millions of dollars to make single digit millions 164 00:08:46,480 --> 00:08:49,040 Speaker 1: of dollars of revenue, and constantly piss off their users 165 00:08:49,080 --> 00:08:52,000 Speaker 1: by changing rate limits because every single one is subsidized, 166 00:08:52,200 --> 00:08:54,559 Speaker 1: every single one is spending a couple of dollars or 167 00:08:54,600 --> 00:08:57,000 Speaker 1: more per dollar of revenue, and nothing is changing and 168 00:08:57,040 --> 00:09:00,160 Speaker 1: nothing is improving. Fuck off with your whole inferance this 169 00:09:00,240 --> 00:09:03,360 Speaker 1: profitable thing, by the fucking way, to paraphrase my good 170 00:09:03,400 --> 00:09:05,920 Speaker 1: friend Casey Kagawa, who made this point to me over 171 00:09:06,160 --> 00:09:11,200 Speaker 1: Signal fairly recently. Either inference isn't profitable or API cars 172 00:09:11,240 --> 00:09:14,560 Speaker 1: are just a big they're the biggest ripoff ever that 173 00:09:14,640 --> 00:09:17,600 Speaker 1: they could be charging even less than that. Indeed, if 174 00:09:17,600 --> 00:09:20,880 Speaker 1: inference was so profitable, why are they charging a couple 175 00:09:20,920 --> 00:09:24,400 Speaker 1: of bucks for a million dollars worth of input tokens? 176 00:09:24,400 --> 00:09:27,640 Speaker 1: They should be charging pennies. Why are they charging so 177 00:09:27,720 --> 00:09:31,320 Speaker 1: much of it's so profitable take that eighth of dits anyway, 178 00:09:31,360 --> 00:09:33,080 Speaker 1: And for the most part, the media has failed to 179 00:09:33,120 --> 00:09:35,840 Speaker 1: notice all this stuff. I really must be clear how 180 00:09:36,040 --> 00:09:39,680 Speaker 1: shocking this is. I really have read all over the shop. 181 00:09:39,720 --> 00:09:43,040 Speaker 1: I still see people making the Amazon Web Services lost 182 00:09:43,040 --> 00:09:45,440 Speaker 1: a lot of money. Argument, that's about thirty eight billion 183 00:09:45,520 --> 00:09:48,200 Speaker 1: dollars in over a decade that was spent on Amazon 184 00:09:48,200 --> 00:09:50,880 Speaker 1: Web Services. So walk that one bag. Well, yeah, I 185 00:09:50,880 --> 00:09:53,640 Speaker 1: don't know. I still see the same talking points pedaled 186 00:09:53,720 --> 00:09:56,640 Speaker 1: and it's just ridiculous. Big numbers get quoted without a 187 00:09:56,679 --> 00:10:00,800 Speaker 1: second thought. Unrealistic or fantastical timelines are public strad verbatim. 188 00:10:01,000 --> 00:10:04,800 Speaker 1: I'm talking about that. What ten twenty billion dollar nebuis 189 00:10:04,920 --> 00:10:08,320 Speaker 1: deal with meta that just data center doesn't exist, haven't 190 00:10:08,360 --> 00:10:11,560 Speaker 1: even raised the money. And scrutiny appears, by the way, 191 00:10:12,040 --> 00:10:15,080 Speaker 1: to only be reserved for haters or skeptics, of those 192 00:10:15,080 --> 00:10:18,720 Speaker 1: who say fuck too much on a podcast. Well, the 193 00:10:18,760 --> 00:10:22,360 Speaker 1: scrutiny machine over here is just getting started, and you know, 194 00:10:22,840 --> 00:10:27,719 Speaker 1: you just know that I will be absolutely insufferable when 195 00:10:27,760 --> 00:10:31,920 Speaker 1: I'm finally proven rain. Thank you all for listening. Should 196 00:10:31,960 --> 00:10:34,400 Speaker 1: have some fun stuff next week. I'm still working on 197 00:10:35,160 --> 00:10:42,800 Speaker 1: I love you all,