1 00:00:02,800 --> 00:00:06,320 Speaker 1: Zone Media. Hello and welcome to Better Offline. I'm your 2 00:00:06,320 --> 00:00:21,480 Speaker 1: host ed Zeitron. Please buy our merchandise. I need money now. 3 00:00:21,480 --> 00:00:24,040 Speaker 1: In the last episode, we talked about an unfortunate affliction 4 00:00:24,120 --> 00:00:26,880 Speaker 1: affecting people in tech, where they're primed to spouting these inane, 5 00:00:26,920 --> 00:00:30,360 Speaker 1: meaningless platitudes, and then the other affliction affecting people in 6 00:00:30,400 --> 00:00:32,880 Speaker 1: the tech media, where they NodD along and say, huh, 7 00:00:32,920 --> 00:00:35,239 Speaker 1: that makes sense to me. The thing is, if we 8 00:00:35,280 --> 00:00:38,080 Speaker 1: actually care about tech, it's upon us to actually challenge 9 00:00:38,120 --> 00:00:40,800 Speaker 1: these charlatans. We don't have to be mean or rude 10 00:00:40,880 --> 00:00:43,880 Speaker 1: or harsh. We just have to say, what does that mean? 11 00:00:44,000 --> 00:00:46,680 Speaker 1: Or what exactly do you mean? This is the pro 12 00:00:46,760 --> 00:00:49,440 Speaker 1: tech position. It's not about being a hater or a 13 00:00:49,479 --> 00:00:52,879 Speaker 1: cynic or whatever. It's an essential quality control mechanism that's 14 00:00:52,920 --> 00:00:56,360 Speaker 1: been sorely lacking, especially in the AI bubble. The problem 15 00:00:56,440 --> 00:00:59,560 Speaker 1: is that bullshit is a scarily effective mechanism by the 16 00:00:59,560 --> 00:01:02,160 Speaker 1: shameless and the cynical, and it's managed to bamboos for 17 00:01:02,280 --> 00:01:04,480 Speaker 1: so many, especially in the media, where the job is, 18 00:01:04,560 --> 00:01:07,280 Speaker 1: at least in theory, to do the exact opposite of 19 00:01:07,319 --> 00:01:10,320 Speaker 1: not reasonably and saying, oh this sounds good to me mate. 20 00:01:10,959 --> 00:01:13,880 Speaker 1: Let's say the media, not the actually good people who 21 00:01:13,880 --> 00:01:16,760 Speaker 1: I mentioned by naming the last episode, but slavish lickspills 22 00:01:16,800 --> 00:01:20,119 Speaker 1: like Kevin Ruce and Casey new and actually want these 23 00:01:20,120 --> 00:01:22,600 Speaker 1: companies to build powerful AI and believe they're smart enough 24 00:01:22,600 --> 00:01:26,039 Speaker 1: to do so. Say that somehow, looking at their decaying finances, 25 00:01:26,040 --> 00:01:27,679 Speaker 1: the lack of revenue, the lack of growth, and the 26 00:01:27,720 --> 00:01:30,120 Speaker 1: remarkable lack of use cases, they still come out of 27 00:01:30,120 --> 00:01:32,880 Speaker 1: it and say, sure, I think they're going to do this. 28 00:01:33,400 --> 00:01:36,200 Speaker 1: The problem with bullshit like the Della's Words Seller Buffet 29 00:01:36,200 --> 00:01:38,480 Speaker 1: and Altman's whatever the fuck he does is that it 30 00:01:38,560 --> 00:01:42,480 Speaker 1: allows people, ostensibly smart, reasonable people to reach these conclusions 31 00:01:42,480 --> 00:01:47,280 Speaker 1: without having to answer the silly little question of how, how, 32 00:01:47,720 --> 00:01:50,240 Speaker 1: how how they're going to do it. Why haven't they 33 00:01:50,280 --> 00:01:52,120 Speaker 1: done it yet? Why three years in are we still 34 00:01:52,120 --> 00:01:55,040 Speaker 1: aren'table to describe what it is that chat GPT actually 35 00:01:55,080 --> 00:01:58,080 Speaker 1: does and why we need it so badly? Take away 36 00:01:58,160 --> 00:02:00,400 Speaker 1: how much money open ai makes for us, second, and 37 00:02:00,480 --> 00:02:04,560 Speaker 1: indeed how much it loses. Does this product actually inspire 38 00:02:04,640 --> 00:02:08,280 Speaker 1: anything in you? What is it that's actually magical about 39 00:02:08,280 --> 00:02:10,160 Speaker 1: this other than the fact case so you get to 40 00:02:10,160 --> 00:02:12,760 Speaker 1: hang around lots of parties and you too, Kevin Kevy boy, 41 00:02:12,919 --> 00:02:14,440 Speaker 1: you get to hang around a lot of parties with 42 00:02:14,480 --> 00:02:16,720 Speaker 1: a bunch of people sniff in their own farts, like 43 00:02:16,760 --> 00:02:19,680 Speaker 1: that one episode of South Park with the priuses. And 44 00:02:19,760 --> 00:02:22,239 Speaker 1: on a business level, what is it that I'm meant 45 00:02:22,280 --> 00:02:25,799 Speaker 1: to be impressed by? Exactly? Open ai has allegedly hit 46 00:02:25,880 --> 00:02:28,680 Speaker 1: ten billion dollars in annualized revenue, essentially the biggest month 47 00:02:28,720 --> 00:02:32,360 Speaker 1: that can find multiplied by twelve, which is it's not 48 00:02:32,400 --> 00:02:36,360 Speaker 1: actually that much really, considering that open ai is the 49 00:02:36,360 --> 00:02:39,120 Speaker 1: most prominent software company in the world, with the biggest brand, 50 00:02:39,120 --> 00:02:43,000 Speaker 1: and with the attention of the entirety of the world's media. 51 00:02:43,160 --> 00:02:46,359 Speaker 1: Open ai allegedly has five hundred million weekly active users 52 00:02:46,360 --> 00:02:49,320 Speaker 1: on chat gpt and by the last count, only fifteen 53 00:02:49,360 --> 00:02:53,760 Speaker 1: point five million paying subscribers, an absolutely putrid conversion rate, 54 00:02:53,800 --> 00:02:56,240 Speaker 1: even before you realize that the actual conversion rate would 55 00:02:56,240 --> 00:02:59,880 Speaker 1: be monthly active subscribers. That's how any real software come 56 00:03:00,120 --> 00:03:03,120 Speaker 1: He actually defines its metrics by the fucking way. Why 57 00:03:03,160 --> 00:03:07,080 Speaker 1: am I meant to be impressed? Why? Because chat gpt 58 00:03:07,280 --> 00:03:10,800 Speaker 1: grew fast. It literally had more pr and more marketing 59 00:03:10,840 --> 00:03:13,560 Speaker 1: and more attention and more opportunities to sell to more people. 60 00:03:13,560 --> 00:03:15,960 Speaker 1: Than any company has ever had in the history of anything. 61 00:03:16,480 --> 00:03:19,600 Speaker 1: Every single industry has been told to think about AI 62 00:03:19,720 --> 00:03:21,640 Speaker 1: for three fucking years, and they've been told to do 63 00:03:21,720 --> 00:03:24,160 Speaker 1: so because of a company called open Ai. There isn't 64 00:03:24,160 --> 00:03:27,240 Speaker 1: a single goddamn product since Google or Facebook that has 65 00:03:27,320 --> 00:03:29,720 Speaker 1: had this level of media pressure, and both of those 66 00:03:29,760 --> 00:03:32,600 Speaker 1: companies launched without the massive amount of media and social 67 00:03:32,639 --> 00:03:36,480 Speaker 1: media that we have today. Having literally everybody talking about 68 00:03:36,480 --> 00:03:39,040 Speaker 1: your product all the time for years is pretty useful. 69 00:03:39,400 --> 00:03:42,360 Speaker 1: Why isn't this company making more money? And why are 70 00:03:42,360 --> 00:03:46,040 Speaker 1: we taking any of these people? Seriously? Mark Zuckerberg paid 71 00:03:46,080 --> 00:03:49,520 Speaker 1: fourteen point three billion dollars to invest forty nine percent 72 00:03:49,600 --> 00:03:53,560 Speaker 1: in but really to acquire Scale Ai, an AI data company, 73 00:03:53,560 --> 00:03:56,120 Speaker 1: as a means of hiring its CEO, Alexander Wang to 74 00:03:56,760 --> 00:03:59,800 Speaker 1: run his superintelligence team, and has been offering random Open 75 00:03:59,800 --> 00:04:02,880 Speaker 1: air Eye employees one hundred million dollars to join Meta. 76 00:04:02,920 --> 00:04:05,720 Speaker 1: And they also, by the way, thought about buying both 77 00:04:05,760 --> 00:04:09,800 Speaker 1: AI search company Perplexity and general iv AI video company Runway, 78 00:04:09,800 --> 00:04:12,600 Speaker 1: And they even tried to buy open ai co foundery 79 00:04:12,800 --> 00:04:15,920 Speaker 1: Suits Caves pre product thirty two billion dollar valuation company 80 00:04:16,960 --> 00:04:21,000 Speaker 1: Save Superintelligence, settling instead to hire its CEO and his 81 00:04:21,120 --> 00:04:25,040 Speaker 1: venture fund. I just want to be clear superintelligence refers 82 00:04:25,080 --> 00:04:28,640 Speaker 1: to a fictional concept. These people they may as well 83 00:04:28,680 --> 00:04:31,240 Speaker 1: be saying they're gonna hunt and kill the fucking tooth Fairy. 84 00:04:31,520 --> 00:04:34,600 Speaker 1: I feel like I'm going insane hundreds of millions, billions 85 00:04:34,640 --> 00:04:39,280 Speaker 1: of dollars put into an idea that's fictional. It's like 86 00:04:39,360 --> 00:04:43,040 Speaker 1: they're trying to make the Ninja turtles happen. Are they 87 00:04:43,040 --> 00:04:45,440 Speaker 1: going to capture Santa Claus. Are they finally going to 88 00:04:45,520 --> 00:04:49,360 Speaker 1: kill Slender Man? Are they going to find the Marrio brothers? 89 00:04:49,360 --> 00:04:52,120 Speaker 1: Are we going to stop the Cooper Sam Altman? Is 90 00:04:52,160 --> 00:04:55,159 Speaker 1: Mark Zuckerberg going to kill who is the bad guy 91 00:04:55,200 --> 00:04:58,160 Speaker 1: from Sacrifice? Anyway, we'll get back to that later when 92 00:04:58,200 --> 00:05:01,280 Speaker 1: you put aside the big number. These are the actions 93 00:05:01,320 --> 00:05:03,520 Speaker 1: of a desperate dim wit with a failing product trying 94 00:05:03,520 --> 00:05:07,599 Speaker 1: to buy his way to make generative AI into super intelligence. 95 00:05:08,440 --> 00:05:11,280 Speaker 1: And by the way, just want to make it clear, 96 00:05:11,320 --> 00:05:15,600 Speaker 1: the chief AI scientist, Yan Lakun they callin Yan Lacum, 97 00:05:16,400 --> 00:05:19,480 Speaker 1: says it isn't going to work. Generative AI isn't going 98 00:05:19,520 --> 00:05:22,080 Speaker 1: to make super intelligence market. Mark, You're going to listen 99 00:05:22,160 --> 00:05:25,200 Speaker 1: to the people you fucking hired and just jack off 100 00:05:25,200 --> 00:05:27,559 Speaker 1: and give people too much money. I'll take a hundred 101 00:05:27,600 --> 00:05:30,400 Speaker 1: million dollars mate, while you're out there. But by assuming 102 00:05:30,400 --> 00:05:33,200 Speaker 1: that there's some sort of grand strategy behind these moves beyond, 103 00:05:33,240 --> 00:05:35,760 Speaker 1: if we get enough smart people together, something will happening. 104 00:05:36,000 --> 00:05:38,680 Speaker 1: The media helps boost the powerfuls messaging and buoy their 105 00:05:38,680 --> 00:05:43,520 Speaker 1: stock valuations. You are not educating anybody by humoring these goofballs. 106 00:05:43,720 --> 00:05:45,599 Speaker 1: In fact, the right way to approach this would be 107 00:05:45,600 --> 00:05:49,560 Speaker 1: to ask meta a very simple question. Why why does 108 00:05:49,560 --> 00:05:52,240 Speaker 1: a multi trillion dollar market cap company with a near 109 00:05:52,279 --> 00:05:55,200 Speaker 1: monopoly overall social media spend billions of dollars in what 110 00:05:55,240 --> 00:05:58,279 Speaker 1: appears to be a totally irresponsible way? No, no, no, 111 00:05:58,279 --> 00:06:00,359 Speaker 1: no need to do that, No need to think these 112 00:06:00,600 --> 00:06:04,320 Speaker 1: these big thoughts that might make people uncomfortable. No no, no, 113 00:06:05,560 --> 00:06:08,760 Speaker 1: we just need like ten or fifteen different articles suggesting 114 00:06:08,760 --> 00:06:11,000 Speaker 1: that Mark Zuckerberger is a genius and we're watching him 115 00:06:11,000 --> 00:06:16,200 Speaker 1: be a genius. Anyway, putting that aside, what exactly is 116 00:06:16,240 --> 00:06:18,640 Speaker 1: the impressive part of generative AI again, I'm coming back 117 00:06:18,680 --> 00:06:21,600 Speaker 1: to this the fucking code. Enough about the code. I'm 118 00:06:21,640 --> 00:06:23,320 Speaker 1: tired of hearing about the code as where to god, 119 00:06:23,360 --> 00:06:25,560 Speaker 1: you people think that being a software engineer is only 120 00:06:25,600 --> 00:06:28,200 Speaker 1: fucking coding, and it's fine if you ship mediocre code. 121 00:06:28,400 --> 00:06:31,520 Speaker 1: Is it bad? Code? Can't bring down entire organizations? What 122 00:06:31,680 --> 00:06:34,080 Speaker 1: is it you think a software engineer does? Is all 123 00:06:34,080 --> 00:06:36,640 Speaker 1: they do code? If you think the answer is yes, 124 00:06:36,760 --> 00:06:41,520 Speaker 1: you are wrong. Human beings may make mistakes in writing code, 125 00:06:41,560 --> 00:06:43,359 Speaker 1: but at least they know what a mistake looks like, 126 00:06:43,360 --> 00:06:46,200 Speaker 1: which a generative AI does not. Because a generative AI 127 00:06:46,279 --> 00:06:48,560 Speaker 1: doesn't know what anything is or anything at all, because 128 00:06:48,600 --> 00:06:52,400 Speaker 1: it is a probabilistic model. Congratulations, you've made another way 129 00:06:52,839 --> 00:06:55,480 Speaker 1: way in which software engineers can automate parts of their jobs. 130 00:06:55,560 --> 00:06:58,039 Speaker 1: Stop being so fucking excited about the idea that people 131 00:06:58,080 --> 00:07:01,000 Speaker 1: are going to lose their livelihoods. It's not and founded 132 00:07:01,040 --> 00:07:03,760 Speaker 1: on absolutely nothing other than your adulation for the powerful. 133 00:07:04,400 --> 00:07:07,200 Speaker 1: These models are dangerous and chaotic, built with little intention 134 00:07:07,279 --> 00:07:09,200 Speaker 1: of regard for the future, just like the rest of 135 00:07:09,240 --> 00:07:12,080 Speaker 1: big text products. Chat GPT would have been a much 136 00:07:12,080 --> 00:07:14,400 Speaker 1: smaller deal if Google had any interest in tending Google 137 00:07:14,440 --> 00:07:16,880 Speaker 1: Search into a product that truly answered the query, as 138 00:07:16,920 --> 00:07:19,640 Speaker 1: opposed to generating more of them to show more impressions 139 00:07:19,640 --> 00:07:22,600 Speaker 1: to advertisers. A nuance search engine that could look at 140 00:07:22,600 --> 00:07:25,600 Speaker 1: a user's query and spit out a series of websites 141 00:07:25,640 --> 00:07:29,000 Speaker 1: that might help answer a question, rather than just summarizing 142 00:07:29,000 --> 00:07:31,040 Speaker 1: a few of them for an answer, or just giving 143 00:07:31,080 --> 00:07:34,160 Speaker 1: you a series of SEO articles. And if you ever 144 00:07:34,240 --> 00:07:36,400 Speaker 1: need proof that Google just doesn't know how to fucking 145 00:07:36,440 --> 00:07:39,360 Speaker 1: innovate anymore, really look at those AI summaries. It's a 146 00:07:39,360 --> 00:07:42,000 Speaker 1: product that both misunderstands search and why people use chat 147 00:07:42,040 --> 00:07:44,840 Speaker 1: GPT as a search replacement in the first place. While 148 00:07:44,880 --> 00:07:48,120 Speaker 1: open AI may summarize stuff to give an answer, it 149 00:07:48,160 --> 00:07:52,480 Speaker 1: at least gives something approximating an answer answer, rather than 150 00:07:52,480 --> 00:07:54,520 Speaker 1: a summary that feels like an absent tee parent trying 151 00:07:54,520 --> 00:07:56,160 Speaker 1: to get rid of you and then throwing twenty bucks 152 00:07:56,160 --> 00:07:58,320 Speaker 1: at you and the hopes you'll leave them alone. And 153 00:07:58,360 --> 00:08:00,960 Speaker 1: even when it does answer shit, it does so in 154 00:08:01,000 --> 00:08:04,160 Speaker 1: this very peculiar way and gets very obvious things wrong. 155 00:08:04,200 --> 00:08:08,800 Speaker 1: I looked at the pricing for Claude the Anthropic. I 156 00:08:08,800 --> 00:08:10,760 Speaker 1: looked up for what the price of claud code was, 157 00:08:10,800 --> 00:08:12,880 Speaker 1: and it was like, yeah, sixty dollars. There's no sixty 158 00:08:12,920 --> 00:08:16,360 Speaker 1: dollars plan that I could find on Anthropic, maybe one 159 00:08:16,400 --> 00:08:20,800 Speaker 1: of the team's plans. Anyway, Google Search makes them like 160 00:08:20,800 --> 00:08:33,679 Speaker 1: one hundred billion dollars a year. It's fucking insane. If 161 00:08:33,720 --> 00:08:37,240 Speaker 1: Google Search truly evolved, chat GPT wouldn't really matter, because 162 00:08:37,240 --> 00:08:39,320 Speaker 1: the idea of a machine that can theoretically answer a 163 00:08:39,400 --> 00:08:42,120 Speaker 1: question is kind of why people use Google in the 164 00:08:42,120 --> 00:08:46,520 Speaker 1: fucking first place. Why doesn't the state of Google dominate 165 00:08:46,600 --> 00:08:49,760 Speaker 1: tech news just like how random ketamine fuel tweets from 166 00:08:49,760 --> 00:08:53,360 Speaker 1: me long Musk do. Why aren't we collectively repulsed by 167 00:08:53,360 --> 00:08:56,280 Speaker 1: Google as a company, and why aren't we collectively repulsed 168 00:08:56,280 --> 00:08:59,640 Speaker 1: by open Ai? No matter how big chat GPT is, 169 00:08:59,679 --> 00:09:01,560 Speaker 1: the fact that there's a product out there with hundreds 170 00:09:01,559 --> 00:09:04,280 Speaker 1: of millions of users that constantly gets answers wrong is 171 00:09:04,400 --> 00:09:07,480 Speaker 1: genuinely worrying for society. And that's before you get to 172 00:09:07,480 --> 00:09:10,280 Speaker 1: the environmental damage. The fact it's trained its models on 173 00:09:10,440 --> 00:09:13,000 Speaker 1: hundreds of millions of people's art and writing, and now 174 00:09:13,000 --> 00:09:15,840 Speaker 1: I don't know the fact that it loses over it 175 00:09:15,880 --> 00:09:18,360 Speaker 1: loses like billions of it's probably more like twelve billion 176 00:09:18,360 --> 00:09:21,480 Speaker 1: dollars a year. It's planning to lose over one hundred 177 00:09:21,480 --> 00:09:24,640 Speaker 1: billion dollars a year before becoming profitable, and it can't 178 00:09:24,640 --> 00:09:27,920 Speaker 1: even they can't even explain how it become profitable. I'm 179 00:09:27,960 --> 00:09:31,240 Speaker 1: trying to calm down, all right, I'm trying. I don't 180 00:09:31,240 --> 00:09:33,319 Speaker 1: even I don't write in here to get pissed off. 181 00:09:33,360 --> 00:09:36,079 Speaker 1: It's just when I think about it too much. Starting 182 00:09:36,120 --> 00:09:40,160 Speaker 1: the music from Kill Bill anyway, But why are we 183 00:09:40,280 --> 00:09:43,959 Speaker 1: not more horrified? Why are we not more forlorn that 184 00:09:44,000 --> 00:09:46,400 Speaker 1: this is where hundreds of billions of dollars are being 185 00:09:46,480 --> 00:09:49,599 Speaker 1: forced The most prominent company in the tech industry is 186 00:09:49,640 --> 00:09:52,120 Speaker 1: an unstable monolith with a vague product that can only 187 00:09:52,120 --> 00:09:55,440 Speaker 1: make ten billion dollars a year in revenue, not profit, 188 00:09:55,880 --> 00:09:58,600 Speaker 1: as the very fabric of its existence is shoved down 189 00:09:58,640 --> 00:10:02,240 Speaker 1: the throat of every executive the world at once. Also, 190 00:10:02,240 --> 00:10:04,480 Speaker 1: if it's not fed by the way twenty to forty 191 00:10:04,520 --> 00:10:07,840 Speaker 1: billion dollars a year, it will die. Give me a 192 00:10:07,880 --> 00:10:10,800 Speaker 1: fucking break. I don't know. I sound pretty ornery. I 193 00:10:10,800 --> 00:10:12,760 Speaker 1: get accused of being a hater or missing the grand 194 00:10:12,840 --> 00:10:15,160 Speaker 1: mystery of this bullshit every few minutes by somebody with 195 00:10:15,200 --> 00:10:17,199 Speaker 1: an AI avatar of a guy who looks like he's 196 00:10:17,240 --> 00:10:19,920 Speaker 1: been banned from multiple branches are best Buy. I understand 197 00:10:19,920 --> 00:10:22,679 Speaker 1: there are things that people do with large language models. 198 00:10:22,720 --> 00:10:25,160 Speaker 1: I am aware, but none of it matters because the 199 00:10:25,200 --> 00:10:27,400 Speaker 1: way they're being discussed is like we're two steps away 200 00:10:27,400 --> 00:10:30,760 Speaker 1: from digitally replacing hundreds of millions of people's jobs. The 201 00:10:30,800 --> 00:10:33,920 Speaker 1: reality is far simpler. We have an industry that has 202 00:10:33,960 --> 00:10:37,439 Speaker 1: spent nearly half a trillion dollars between its capital expenditures 203 00:10:37,480 --> 00:10:40,240 Speaker 1: and venture capital funding to create an industry with the 204 00:10:40,240 --> 00:10:44,480 Speaker 1: combined revenue of the fucking smart watch industry. What I'm 205 00:10:44,520 --> 00:10:47,480 Speaker 1: talking about isn't inflammatory. In fact, it's far more deeply 206 00:10:47,559 --> 00:10:50,200 Speaker 1: rooted in reality than those claiming the open ayes building 207 00:10:50,200 --> 00:10:52,839 Speaker 1: the future or Kevin Ruce walking up on stage dressed 208 00:10:52,880 --> 00:10:56,240 Speaker 1: like a fucking ring master. Anyone, if you're a listener 209 00:10:56,280 --> 00:10:58,880 Speaker 1: who is at the hard Fork Live show, email me. 210 00:10:59,320 --> 00:11:01,760 Speaker 1: Please email me and tell me what that was about. 211 00:11:01,920 --> 00:11:03,680 Speaker 1: And if you don't know what I'm talking about, Kevin 212 00:11:03,760 --> 00:11:09,160 Speaker 1: Rouse dress like a fucking circus ring master, this podcast shameful, man, shameful, 213 00:11:09,720 --> 00:11:14,960 Speaker 1: Take a shower, take a walk, go outside, mate. But 214 00:11:15,040 --> 00:11:19,240 Speaker 1: look like I said, what I'm saying sounds inflammatory, but 215 00:11:19,280 --> 00:11:22,360 Speaker 1: it's not. If we add up the combined capital expenditures 216 00:11:22,360 --> 00:11:25,000 Speaker 1: and projected AI revenues of the big four hyperscalers, we 217 00:11:25,080 --> 00:11:27,440 Speaker 1: end up with roughly three hundred and twenty seven billion 218 00:11:27,440 --> 00:11:31,880 Speaker 1: dollars in capital expenditures and only eighteen billion dollars in revenue. 219 00:11:31,960 --> 00:11:34,160 Speaker 1: And that's not profit, by the way, I really do 220 00:11:34,280 --> 00:11:36,120 Speaker 1: mean it. That's less than the projective revenue of the 221 00:11:36,120 --> 00:11:39,480 Speaker 1: global smartwatch industry. But then someone smashes through my door 222 00:11:39,520 --> 00:11:43,040 Speaker 1: and they go, ooh, what about open Ai. I've talked 223 00:11:43,040 --> 00:11:46,079 Speaker 1: about this so much. So what open ai makes twelve 224 00:11:46,120 --> 00:11:48,880 Speaker 1: point seven billion dollars this year but they lose like 225 00:11:48,960 --> 00:11:52,160 Speaker 1: ten fourteen billion dollars. What does that mean to you? Exactly? 226 00:11:52,520 --> 00:11:54,560 Speaker 1: What do you what are you gonna say the cost 227 00:11:54,559 --> 00:11:58,199 Speaker 1: of inference is coming down? No? No, if you are 228 00:11:58,240 --> 00:12:01,160 Speaker 1: someone who's saying the cost of inference is coming down, 229 00:12:01,480 --> 00:12:03,960 Speaker 1: I need you to stop. You are wrong. You are wrong. 230 00:12:04,040 --> 00:12:06,880 Speaker 1: You are wrong. I hate hearing this because you are 231 00:12:06,920 --> 00:12:10,160 Speaker 1: so wrong. No, the cost that people are being charged 232 00:12:10,280 --> 00:12:12,600 Speaker 1: is going down. We have no firm data on the 233 00:12:12,640 --> 00:12:15,079 Speaker 1: actual costs of inference because the companies don't want to 234 00:12:15,120 --> 00:12:18,920 Speaker 1: talk about it. And yes, they will absolutely lower prices 235 00:12:19,000 --> 00:12:22,520 Speaker 1: to compete with other companies. The Information just reported the 236 00:12:22,559 --> 00:12:25,040 Speaker 1: open Ai was doing this to compete with Microsoft a 237 00:12:25,040 --> 00:12:28,360 Speaker 1: couple weeks back, and fucking open Ai reduced the price 238 00:12:28,400 --> 00:12:30,920 Speaker 1: of their O through Reasoning Model one focused on code 239 00:12:30,920 --> 00:12:35,720 Speaker 1: by eighty percent to compete with Claude four Opusmax, just 240 00:12:35,760 --> 00:12:38,320 Speaker 1: that any of you could fucking look at. I know 241 00:12:38,360 --> 00:12:40,400 Speaker 1: I'm getting mad at people who probably don't listen to 242 00:12:40,480 --> 00:12:44,400 Speaker 1: the podcast, but one day they will. I'll make them anyway. 243 00:12:44,480 --> 00:12:46,679 Speaker 1: Even if we add open AI's revenue to the part, 244 00:12:46,760 --> 00:12:49,480 Speaker 1: we're at about thirty point seven billion dollars. If we 245 00:12:49,480 --> 00:12:52,000 Speaker 1: had the supposed one billion in revenue from training data 246 00:12:52,000 --> 00:12:55,240 Speaker 1: startup search three hundred billion dollars in annualized revenue from churing. 247 00:12:55,640 --> 00:12:58,559 Speaker 1: We optimistically assume that Perplexity will have one hundred million 248 00:12:58,800 --> 00:13:01,560 Speaker 1: arr up than thirty four million in twenty twenty four, 249 00:13:01,600 --> 00:13:04,840 Speaker 1: but they lost sixty four million, and say they make 250 00:13:04,840 --> 00:13:07,520 Speaker 1: one hundred million in twenty twenty five, and assume that 251 00:13:07,600 --> 00:13:11,640 Speaker 1: any sphere which makes cursor that their five hundred million 252 00:13:11,720 --> 00:13:15,000 Speaker 1: dollar run rate stays consistent through twenty twenty five, even 253 00:13:15,040 --> 00:13:17,160 Speaker 1: though they just had to completely change their pricing, because 254 00:13:17,559 --> 00:13:19,920 Speaker 1: because open ai and Anthropic joked on the prices, we 255 00:13:20,000 --> 00:13:29,560 Speaker 1: are at carry the two about thirty two point seven billion. Hmm. 256 00:13:30,360 --> 00:13:32,760 Speaker 1: That's not good. But I'm not being fair, am I. 257 00:13:32,760 --> 00:13:35,200 Speaker 1: I include many of the names from the Information's Generator 258 00:13:35,280 --> 00:13:38,040 Speaker 1: AI database. I'm stubborn, so I made a point of 259 00:13:38,080 --> 00:13:39,680 Speaker 1: adding them all up and ended up with a total 260 00:13:39,720 --> 00:13:42,360 Speaker 1: of less than thirty nine billion dollars of total revenue 261 00:13:42,360 --> 00:13:45,880 Speaker 1: in the entire generator of AI industry. Jesus fucking Christ, 262 00:13:47,240 --> 00:13:51,800 Speaker 1: Fuck God, damn it. This this is what we've been 263 00:13:51,840 --> 00:13:55,559 Speaker 1: doing for three years. If you're missed, blanket fan, this 264 00:13:55,600 --> 00:13:59,560 Speaker 1: is my Kodak printer moment. Why why did you do it? 265 00:13:59,640 --> 00:14:02,440 Speaker 1: According to the Information Generative, AI companies have raised more 266 00:14:02,440 --> 00:14:04,760 Speaker 1: than eighteen point eight billion dollars in the first quarter 267 00:14:04,800 --> 00:14:07,839 Speaker 1: of twenty twenty five, after Vis's invested twenty one billion 268 00:14:07,880 --> 00:14:09,920 Speaker 1: dollars in Q four twenty twenty four and four billion 269 00:14:09,960 --> 00:14:12,280 Speaker 1: dollars in Q three twenty twenty four, for grand total 270 00:14:12,280 --> 00:14:15,000 Speaker 1: of forty three point eight billion, or a total of 271 00:14:15,080 --> 00:14:18,319 Speaker 1: three hundred and seventy point eight billion dollars of investment 272 00:14:18,679 --> 00:14:21,640 Speaker 1: and capital expenditures for an industry that, despite being the 273 00:14:21,720 --> 00:14:24,200 Speaker 1: single most talked about thing on the planet, cannot even 274 00:14:24,440 --> 00:14:26,480 Speaker 1: create a tenth of the dollars it requires to make 275 00:14:26,560 --> 00:14:30,720 Speaker 1: it function. These companies are predominantly unprofitable, perpetually searching for 276 00:14:30,760 --> 00:14:33,000 Speaker 1: product market fit and even when they find it seeming 277 00:14:33,040 --> 00:14:36,600 Speaker 1: capable of generating revenue numbers that remotely justify their valuations. 278 00:14:36,800 --> 00:14:38,960 Speaker 1: And if I'm honest, I think the truly radical position 279 00:14:39,040 --> 00:14:41,160 Speaker 1: here is the one taken by most tech reporters that 280 00:14:41,200 --> 00:14:43,480 Speaker 1: would rather take the lazy position of well, Uber lost 281 00:14:43,520 --> 00:14:45,880 Speaker 1: a lot of money than think for two seconds about 282 00:14:45,880 --> 00:14:48,520 Speaker 1: whether we're all being sold a line of shit. What 283 00:14:48,560 --> 00:14:50,960 Speaker 1: we're watching is a mountain of waste perpetuated by the 284 00:14:51,040 --> 00:14:54,400 Speaker 1: least charming failed sons of our generation. Nobody should be 285 00:14:54,400 --> 00:14:57,000 Speaker 1: giving sach In the Della or Sam Ortman a glossy profile. 286 00:14:57,120 --> 00:15:00,000 Speaker 1: They should be asking direct, brutal questions, much like Joanna's 287 00:15:00,000 --> 00:15:03,240 Speaker 1: Stern just did of Craig Federighi, who had absolutely fucking 288 00:15:03,320 --> 00:15:06,240 Speaker 1: nothing to share about why Apple Intelligence sucked because he's 289 00:15:06,240 --> 00:15:09,080 Speaker 1: never been pushed like this. Put aside the money for 290 00:15:09,120 --> 00:15:12,520 Speaker 1: a second, to be honest, These men are pathetic, unimpressive, uninventive, 291 00:15:12,520 --> 00:15:16,280 Speaker 1: and dreadfully, dreadfully boring anthropics Warrio Ama Day and Open 292 00:15:16,280 --> 00:15:18,600 Speaker 1: Ai is Clammy. Sam Mortman a farmer in common with 293 00:15:18,640 --> 00:15:22,120 Speaker 1: televangelist Joe Olstein than the level out with Steve Jobs 294 00:15:22,200 --> 00:15:24,240 Speaker 1: or any number of people that have actually invented things, 295 00:15:24,240 --> 00:15:26,560 Speaker 1: and I know about Steve Jobs. And they got that 296 00:15:26,680 --> 00:15:29,520 Speaker 1: way because we took them seriously instead of saying, wait, 297 00:15:29,560 --> 00:15:33,800 Speaker 1: what do you mean? What do you mean? What does 298 00:15:33,840 --> 00:15:35,760 Speaker 1: that mean? To a single one of their wrongheaded o 299 00:15:35,880 --> 00:15:39,360 Speaker 1: fish and dim witted hype ERPs, it's boring. I'm terribly 300 00:15:39,400 --> 00:15:41,680 Speaker 1: horribly bored. And if you're interested in this ship, I'm 301 00:15:41,720 --> 00:15:45,280 Speaker 1: genuinely curious why, especially if you're a reporter, because right now, 302 00:15:45,320 --> 00:15:48,960 Speaker 1: the innovation happening in AI is at best further mutations 303 00:15:48,960 --> 00:15:51,720 Speaker 1: of the software as a service business model, providing far 304 00:15:51,800 --> 00:15:55,720 Speaker 1: less value than previous innovations that are calamitous cost reasoning 305 00:15:55,720 --> 00:15:58,040 Speaker 1: models don't even reason. It's proven by an Apple paper 306 00:15:58,160 --> 00:16:00,480 Speaker 1: released a few weeks ago, and agents as a sceptu 307 00:16:00,600 --> 00:16:04,320 Speaker 1: fucked because large language models are inherently unreliable. And yes, 308 00:16:04,760 --> 00:16:07,680 Speaker 1: a study out of fucking Salesforce found that agents began 309 00:16:07,720 --> 00:16:10,400 Speaker 1: to break down when given multi step tasks, such as 310 00:16:10,560 --> 00:16:13,400 Speaker 1: any task that you'd want to have an agent automating. 311 00:16:28,440 --> 00:16:33,000 Speaker 1: But but, but but but I have one radical suggestion, 312 00:16:34,040 --> 00:16:36,320 Speaker 1: let's start making fun of them. Let's start making fun 313 00:16:36,360 --> 00:16:39,400 Speaker 1: of these people. They're not charming, they're not building anything 314 00:16:39,600 --> 00:16:42,120 Speaker 1: they've scootered long a massing billions of dollars, promising the 315 00:16:42,120 --> 00:16:44,440 Speaker 1: world and delivering you a hell is shit. They deserve 316 00:16:44,480 --> 00:16:47,800 Speaker 1: our derision or at the very least, our deep unerring suspicion, 317 00:16:48,000 --> 00:16:51,480 Speaker 1: if not for what they've done, for what they've not done. 318 00:16:51,520 --> 00:16:54,440 Speaker 1: Sam Ltman is nowhere near delivering a functioning agent, let 319 00:16:54,440 --> 00:16:57,720 Speaker 1: alone anything approaching intelligence, and really only has one skill 320 00:16:57,920 --> 00:16:59,880 Speaker 1: making other companies risk a bunch of money on this 321 00:17:00,080 --> 00:17:03,200 Speaker 1: you bid fucking ideas. No, really, he convinced Oracle to 322 00:17:03,200 --> 00:17:05,240 Speaker 1: buy forty billion dollars of then video chips to put 323 00:17:05,240 --> 00:17:08,119 Speaker 1: in the Abilene takes a Stargate data center, despite the 324 00:17:08,119 --> 00:17:10,440 Speaker 1: fact that the Stargate organization is yet to be formed, 325 00:17:10,440 --> 00:17:13,320 Speaker 1: as reported by The Information, SoftBank and Microsoft pay for 326 00:17:13,359 --> 00:17:15,040 Speaker 1: all of open AI's bills, and the media does his 327 00:17:15,160 --> 00:17:18,600 Speaker 1: marketing for him. Open Ai is, as I have said before, 328 00:17:18,920 --> 00:17:22,080 Speaker 1: a banana republic. It requires the media and the markets 329 00:17:22,080 --> 00:17:24,119 Speaker 1: to make up why it should exist. It requires other 330 00:17:24,160 --> 00:17:26,720 Speaker 1: companies to pump it full of money and build its infrastructure, 331 00:17:26,880 --> 00:17:29,280 Speaker 1: and it doesn't even make products that matter. While Sam 332 00:17:29,280 --> 00:17:32,600 Speaker 1: Altman constantly talks about all the other exciting shit that 333 00:17:32,640 --> 00:17:35,280 Speaker 1: people will build that never seems to get built. You 334 00:17:35,320 --> 00:17:37,679 Speaker 1: can keep honking off about how it will build the 335 00:17:37,760 --> 00:17:40,600 Speaker 1: API that will power the future. But if that's the case, 336 00:17:40,640 --> 00:17:44,199 Speaker 1: where's the fucking future? Exactly where is it? What am 337 00:17:44,240 --> 00:17:48,080 Speaker 1: I looking at here? Where's the economic activity? Where's the productivity? 338 00:17:48,119 --> 00:17:50,760 Speaker 1: The return sucked? The costs are too high? Why am 339 00:17:50,840 --> 00:17:54,399 Speaker 1: I the radical person saying this? This entire situation is 340 00:17:54,480 --> 00:17:58,200 Speaker 1: goddamn ridiculous and incomparable waste, even if it's somehow went 341 00:17:58,280 --> 00:18:00,639 Speaker 1: to the green. For the horrendous amount of capital and 342 00:18:00,680 --> 00:18:03,080 Speaker 1: generative AI to make sense, the industry would have to 343 00:18:03,119 --> 00:18:07,040 Speaker 1: have more revenue than the smartphone and enterprise SaaS market combined, 344 00:18:07,119 --> 00:18:09,800 Speaker 1: rather than less than half of the mobile gaming industry. 345 00:18:10,440 --> 00:18:14,359 Speaker 1: Sacha Nadella, sam Orman, Wario Ammada, Tim Cook, Andy Jesse. 346 00:18:14,680 --> 00:18:16,920 Speaker 1: They deserve to be laughed at, mocked, or at least 347 00:18:17,080 --> 00:18:21,040 Speaker 1: very heavily interrogated because their combined might has produced no 348 00:18:21,160 --> 00:18:24,119 Speaker 1: exciting or interesting products outside of, at best, what will 349 00:18:24,160 --> 00:18:27,520 Speaker 1: amount to a productivity upgrade for integrated development environments and 350 00:18:27,560 --> 00:18:29,359 Speaker 1: faster ways to throw out code that may or may 351 00:18:29,440 --> 00:18:32,960 Speaker 1: not be reliable. These things aren't nothing, but they're nowhere 352 00:18:32,960 --> 00:18:35,560 Speaker 1: near the something that we've been promised, So I put 353 00:18:35,600 --> 00:18:38,480 Speaker 1: it to you, dear listener, why are we taking them seriously? 354 00:18:38,920 --> 00:18:41,560 Speaker 1: What is there to take seriously other than their ability 355 00:18:41,560 --> 00:18:43,960 Speaker 1: to force stuff on people and make money doing so. 356 00:18:45,119 --> 00:18:47,920 Speaker 1: And I want to ask you a question, how do 357 00:18:48,000 --> 00:18:50,040 Speaker 1: they manage to keep doing this? They always seem to 358 00:18:50,080 --> 00:18:53,399 Speaker 1: find new growth every single quarter, every single quarter, without fail. 359 00:18:53,880 --> 00:18:55,639 Speaker 1: Is it because they keep coming up with ideas? Or 360 00:18:55,640 --> 00:18:57,320 Speaker 1: is it because they keep coming up with new ideas 361 00:18:57,359 --> 00:18:59,480 Speaker 1: to get more money a vastly different choice that involves 362 00:18:59,480 --> 00:19:02,119 Speaker 1: increasing the products or making them worse so that they 363 00:19:02,160 --> 00:19:05,000 Speaker 1: can show you more ads. My positions aren't radical, and 364 00:19:05,040 --> 00:19:07,679 Speaker 1: if you believe they are, your deverence to power disgusts me. 365 00:19:08,320 --> 00:19:10,840 Speaker 1: In any case, I want to end this episode with 366 00:19:10,920 --> 00:19:13,720 Speaker 1: something a little more inspirational, because I believe things can 367 00:19:13,840 --> 00:19:17,720 Speaker 1: change when regular people feel stronger and more capable. I 368 00:19:17,760 --> 00:19:19,879 Speaker 1: want you to know that you are fully capable of 369 00:19:20,000 --> 00:19:23,720 Speaker 1: understanding all of this. I don't care if you think 370 00:19:23,760 --> 00:19:26,320 Speaker 1: you're not a numbers person or you don't really get business. 371 00:19:26,840 --> 00:19:29,359 Speaker 1: I don't have a single iota of economics training, and 372 00:19:29,440 --> 00:19:33,280 Speaker 1: everything you've ever heard me say or read me right 373 00:19:34,160 --> 00:19:36,119 Speaker 1: has been something I've had to learn, and I really 374 00:19:36,160 --> 00:19:38,800 Speaker 1: mean that I was a lay person right up until 375 00:19:38,840 --> 00:19:40,520 Speaker 1: the time I learned the stuff, and I be kind 376 00:19:40,520 --> 00:19:43,440 Speaker 1: of stuff, knowah, just like you can be. The tech industry, 377 00:19:43,520 --> 00:19:48,119 Speaker 1: the finance industry, the entire mechanisms of capital want you 378 00:19:48,200 --> 00:19:50,680 Speaker 1: to believe that everything they do is magical and complex, 379 00:19:50,840 --> 00:19:53,639 Speaker 1: when it's all far more obvious than you believe. You 380 00:19:53,680 --> 00:19:56,760 Speaker 1: don't have to understand the entire fundamentals of finance to 381 00:19:56,800 --> 00:19:59,879 Speaker 1: know how venture capital works. They buy percentages of come 382 00:20:00,000 --> 00:20:02,560 Speaker 1: copanies at evaluation that they hope is much lower than 383 00:20:02,600 --> 00:20:04,199 Speaker 1: the company would be worth in the future when they 384 00:20:04,280 --> 00:20:06,760 Speaker 1: sell or go public. You don't need to be technical 385 00:20:06,760 --> 00:20:09,240 Speaker 1: to know that large language models generate a response based 386 00:20:09,240 --> 00:20:12,000 Speaker 1: on billions of pieces of training data and by guessing 387 00:20:12,040 --> 00:20:15,080 Speaker 1: at what the next bit of text or thing might 388 00:20:15,160 --> 00:20:17,000 Speaker 1: be in a line should be based on based on 389 00:20:17,040 --> 00:20:20,760 Speaker 1: what they've seen in the model previously. These people love 390 00:20:20,840 --> 00:20:23,159 Speaker 1: to say things like ah, but didn't see and present 391 00:20:23,280 --> 00:20:26,119 Speaker 1: some anecdote, when no anecdote will ever defeat the basics 392 00:20:26,119 --> 00:20:28,439 Speaker 1: of your business does not make enough money, the software 393 00:20:28,480 --> 00:20:29,960 Speaker 1: does not do the things you claim it's meant to, 394 00:20:29,960 --> 00:20:32,879 Speaker 1: and you have no path to profitability. They can yamor 395 00:20:32,960 --> 00:20:35,520 Speaker 1: at you. All they want about lots of people using CHATGPT, 396 00:20:35,640 --> 00:20:37,840 Speaker 1: but that doesn't change the fact that chat GPT just 397 00:20:37,960 --> 00:20:40,520 Speaker 1: isn't that revolutionary, and their only play here is to 398 00:20:40,520 --> 00:20:42,880 Speaker 1: make you feel stupid, rather than actually showing you why 399 00:20:42,880 --> 00:20:46,080 Speaker 1: it's so fucking revolutionary. This is the argument of a 400 00:20:46,119 --> 00:20:50,040 Speaker 1: manipulator and a coward, and you're above such things. You 401 00:20:50,080 --> 00:20:52,240 Speaker 1: don't really have to be a specialist in anything to 402 00:20:52,280 --> 00:20:54,359 Speaker 1: pry this shit apart, which is why so much of 403 00:20:54,359 --> 00:20:56,880 Speaker 1: my work is either engaging to those who learn something 404 00:20:56,880 --> 00:20:59,600 Speaker 1: from it or frustrating to those that intentionally deceive others. 405 00:20:59,640 --> 00:21:03,160 Speaker 1: By god boy goog heipespiel bullshit. I will sit here 406 00:21:03,160 --> 00:21:06,080 Speaker 1: and explain every fucking part of this horrid chain of freaks, 407 00:21:06,200 --> 00:21:08,280 Speaker 1: and I'll break it down into whatever pieces it takes 408 00:21:08,280 --> 00:21:10,399 Speaker 1: to educate as many people as I have to to 409 00:21:10,480 --> 00:21:14,119 Speaker 1: make things change. I need to be clear about something 410 00:21:14,800 --> 00:21:18,600 Speaker 1: I'm nobody. I started writing my news later with three 411 00:21:18,680 --> 00:21:21,080 Speaker 1: hundred subscribers and no other reason than the fact that 412 00:21:21,119 --> 00:21:23,760 Speaker 1: I wanted to and I was depressed. And guess what, 413 00:21:23,960 --> 00:21:26,879 Speaker 1: four years later, I've nearly sixty five thousand subscribers, an 414 00:21:26,880 --> 00:21:30,000 Speaker 1: award winning podcast, and people actually pay me for shit. 415 00:21:30,520 --> 00:21:33,760 Speaker 1: I have no economics training, no special access, no deep sources, 416 00:21:33,800 --> 00:21:35,720 Speaker 1: just the ability to look at things that are happening, 417 00:21:35,920 --> 00:21:38,480 Speaker 1: and then I say stuff. I taught myself everything I 418 00:21:38,520 --> 00:21:40,920 Speaker 1: know about this industry, and there is nothing stopping you 419 00:21:41,040 --> 00:21:44,119 Speaker 1: from doing the same. I was convinced I was stupid 420 00:21:44,200 --> 00:21:46,399 Speaker 1: until about two years ago. Now, if my honesty might 421 00:21:46,400 --> 00:21:49,080 Speaker 1: have been last year, I felt other the majority of 422 00:21:49,080 --> 00:21:51,800 Speaker 1: my life, convinced by people that I'm incapable or unwelcome, 423 00:21:51,960 --> 00:21:54,199 Speaker 1: And as such, I've become more articulate and confident in 424 00:21:54,240 --> 00:21:56,280 Speaker 1: who I am and what I believe in. And I've 425 00:21:56,320 --> 00:21:58,440 Speaker 1: noticed that the only people that seek to degrade or 426 00:21:58,440 --> 00:22:01,680 Speaker 1: suppress are those of weak minds and wills, business idiots 427 00:22:01,680 --> 00:22:04,679 Speaker 1: in different forms and flavors. I've learned to accept who 428 00:22:04,760 --> 00:22:06,920 Speaker 1: I am, that I'm not like most people, and people 429 00:22:06,960 --> 00:22:09,520 Speaker 1: conflate my passion and vigor with anger or hate, but 430 00:22:09,640 --> 00:22:12,560 Speaker 1: what they're experiencing is somebody different who deeply resents what 431 00:22:12,600 --> 00:22:15,199 Speaker 1: the powerful have done to the computer. And while I 432 00:22:15,200 --> 00:22:17,240 Speaker 1: complain about the state of the media, what I've seen 433 00:22:17,280 --> 00:22:19,200 Speaker 1: in the last year is that there are many many 434 00:22:19,240 --> 00:22:23,080 Speaker 1: people like me, readers, listeners, and peers that resent things 435 00:22:23,080 --> 00:22:26,439 Speaker 1: in the same way I conflated different with being alone, 436 00:22:26,440 --> 00:22:28,560 Speaker 1: and I couldn't have been more wrong. For those of 437 00:22:28,600 --> 00:22:30,199 Speaker 1: you that don't wish to lick the boots of the 438 00:22:30,200 --> 00:22:32,879 Speaker 1: people fucking up every tech product, the tent is large, 439 00:22:32,960 --> 00:22:36,040 Speaker 1: it's a big club, and you're absolutely in it. A 440 00:22:36,080 --> 00:22:38,400 Speaker 1: better tech industry is one where the people writing about 441 00:22:38,400 --> 00:22:41,600 Speaker 1: it hold it accountable, pushing it towards creating the experiences 442 00:22:41,640 --> 00:22:44,680 Speaker 1: and connectivity that truly change the world, rather than repeating 443 00:22:44,720 --> 00:22:48,280 Speaker 1: and reinforcing the status quo. Don't watch the mouth, watch 444 00:22:48,320 --> 00:22:51,080 Speaker 1: the hands. These companies will tell you that they're amazing 445 00:22:51,119 --> 00:22:52,960 Speaker 1: as many times as they want, but you don't need 446 00:22:53,000 --> 00:22:55,679 Speaker 1: to prove that they do. I don't care if you 447 00:22:55,760 --> 00:22:57,960 Speaker 1: tell a single human soul about my work, but if 448 00:22:57,960 --> 00:23:03,119 Speaker 1: it helps you understand these people, better to teach other people. Now, 449 00:23:03,320 --> 00:23:06,080 Speaker 1: these tech executives, they may seem more powerful, but they've 450 00:23:06,119 --> 00:23:08,679 Speaker 1: built the rot economy and a combination of anonymity in 451 00:23:08,720 --> 00:23:11,840 Speaker 1: a play cant press. But pressure against them starts with 452 00:23:11,960 --> 00:23:15,200 Speaker 1: you and those you know, understanding how those businesses work, 453 00:23:15,359 --> 00:23:18,000 Speaker 1: and trusting that you can understand because you absolutely fucking 454 00:23:18,080 --> 00:23:21,159 Speaker 1: can millions of people understanding how these people run their 455 00:23:21,160 --> 00:23:24,320 Speaker 1: companies now poorly they've built their stuff software will stop 456 00:23:24,359 --> 00:23:26,399 Speaker 1: people like sunned up as Shy from being able to 457 00:23:26,440 --> 00:23:29,640 Speaker 1: quietly burn Google Search to the ground. People like Sam 458 00:23:29,680 --> 00:23:32,879 Speaker 1: Wultman are gambling that you're easily confused, easily defeated, and 459 00:23:32,960 --> 00:23:35,480 Speaker 1: incurious when you could be writing thousands of words on 460 00:23:35,520 --> 00:23:38,000 Speaker 1: a newsletter or speaking for hours on a podcast that 461 00:23:38,080 --> 00:23:41,919 Speaker 1: you never ever really edit for like Brevity, or perhaps 462 00:23:42,000 --> 00:23:44,440 Speaker 1: you go on a site no you ever hear Killer 463 00:23:44,480 --> 00:23:47,280 Speaker 1: be Killed, Great metal badge, you'd give them a lesson anyway. 464 00:23:47,600 --> 00:23:49,840 Speaker 1: I know it sounds smaller and like your role is 465 00:23:49,880 --> 00:23:52,240 Speaker 1: even smaller than that, But the reason they've grown so 466 00:23:52,359 --> 00:23:54,520 Speaker 1: rapaciously is driven by the sense that the work they 467 00:23:54,520 --> 00:23:56,320 Speaker 1: do is some sort of black magic. I mean, it's 468 00:23:56,320 --> 00:23:59,360 Speaker 1: actually really fucking stupid, boring finance stabled into a tech 469 00:23:59,400 --> 00:24:02,600 Speaker 1: industry that's run out of ideas. You are more than 470 00:24:02,640 --> 00:24:05,960 Speaker 1: capable of understanding this entire world, including the technology along 471 00:24:05,960 --> 00:24:09,760 Speaker 1: with the finances that ultimately decide what technology gets made next. 472 00:24:10,359 --> 00:24:12,560 Speaker 1: These people have got rich and famous and escaped all 473 00:24:12,560 --> 00:24:15,560 Speaker 1: blame by casting themselves as somehow above us. But if 474 00:24:15,560 --> 00:24:17,800 Speaker 1: I'm honest, I've never looked down on somebody quite as 475 00:24:17,880 --> 00:24:21,560 Speaker 1: much as I do the current gaggle of management consultant 476 00:24:21,680 --> 00:24:25,160 Speaker 1: fucks that have driven Silicon Valley into the ground. You're 477 00:24:25,200 --> 00:24:28,000 Speaker 1: actually smarter than them. You can learn all of this, 478 00:24:28,280 --> 00:24:30,880 Speaker 1: and I'm here to help you every fucking week. Thank 479 00:24:30,920 --> 00:24:41,440 Speaker 1: you for your time, Thank you for listening to Better Offline. 480 00:24:41,560 --> 00:24:44,000 Speaker 1: The editor and composer of the Better Offline theme song 481 00:24:44,080 --> 00:24:46,720 Speaker 1: is Matasowski. You can check out more of his music 482 00:24:46,720 --> 00:24:50,240 Speaker 1: and audio projects at Matasowski dot com, M A T 483 00:24:50,400 --> 00:24:55,000 Speaker 1: T O. S O w Ski dot com. You can 484 00:24:55,040 --> 00:24:57,520 Speaker 1: email me at easy at Better Offline dot com or 485 00:24:57,600 --> 00:25:00,000 Speaker 1: visit Better Offline dot com to find more podcast link 486 00:25:00,119 --> 00:25:03,280 Speaker 1: and of course my newsletter. I also really recommend you 487 00:25:03,280 --> 00:25:05,440 Speaker 1: go to chat dot Where's youoead dot at to visit 488 00:25:05,480 --> 00:25:08,119 Speaker 1: the discord, and go to our slash Better Offline to 489 00:25:08,160 --> 00:25:11,280 Speaker 1: check out our reddit. Thank you so much for listening. 490 00:25:12,119 --> 00:25:14,800 Speaker 1: Better Offline is a production of cool Zone Media. For 491 00:25:14,920 --> 00:25:18,080 Speaker 1: more from cool Zone Media, visit our website cool Zonemedia 492 00:25:18,119 --> 00:25:21,000 Speaker 1: dot com, or check us out on the iHeartRadio app, 493 00:25:21,040 --> 00:25:23,720 Speaker 1: Apple Podcasts, or wherever you get your podcasts.