1 00:00:03,200 --> 00:00:07,560 Speaker 1: Media. Hello and welcome to this week's Better Offline Monologue. 2 00:00:07,600 --> 00:00:17,880 Speaker 1: I'm your host ed ze trn SO. In the last 3 00:00:17,880 --> 00:00:20,480 Speaker 1: few weeks, there's been a dramatic sell off in software stocks, 4 00:00:20,560 --> 00:00:23,400 Speaker 1: driven by the anxiety that companies will, instead of paying 5 00:00:23,440 --> 00:00:27,200 Speaker 1: for someone like Salesforce or Microsoft, simply build their own software. 6 00:00:27,880 --> 00:00:31,200 Speaker 1: It is a genuinely stupid assumption based on analysts and 7 00:00:31,240 --> 00:00:34,159 Speaker 1: reporters that simply do not care about the truth. In 8 00:00:34,200 --> 00:00:37,599 Speaker 1: their mind, one can simply type build me Salesforce now 9 00:00:37,600 --> 00:00:40,080 Speaker 1: into claud code and have it barf out an identical 10 00:00:40,159 --> 00:00:44,360 Speaker 1: functional clone that's compliance secure, stable, or because somebody was 11 00:00:44,400 --> 00:00:46,040 Speaker 1: able to bunk it on the head enough times to 12 00:00:46,040 --> 00:00:49,000 Speaker 1: spit out something that sort of looked like a tool 13 00:00:49,080 --> 00:00:53,239 Speaker 1: like Trello maybe, or a personal website. Look, when you 14 00:00:53,320 --> 00:00:56,560 Speaker 1: pay a software company, even a dogshit mediocre one, a 15 00:00:56,600 --> 00:00:59,680 Speaker 1: monthly fee, you're not just paying them to access the software, 16 00:00:59,720 --> 00:01:01,880 Speaker 1: but to take away the burden of maintenance that comes 17 00:01:01,960 --> 00:01:05,800 Speaker 1: with running a software company. Minor things like currency changes 18 00:01:05,959 --> 00:01:09,480 Speaker 1: or time zone shifting can cause major problems, and systems 19 00:01:09,520 --> 00:01:12,680 Speaker 1: that aren't built with intention, you know, like something in LLM, 20 00:01:12,720 --> 00:01:15,560 Speaker 1: would spit out and things get even more complicated when 21 00:01:15,560 --> 00:01:18,520 Speaker 1: you start connecting other systems of record like billing or 22 00:01:18,520 --> 00:01:21,760 Speaker 1: a customer's personal information, especially if they're in Europe. By 23 00:01:21,800 --> 00:01:24,480 Speaker 1: the way, plan to have any of that information actually 24 00:01:24,520 --> 00:01:27,440 Speaker 1: connect with a customers systems or you're gonna need a 25 00:01:27,520 --> 00:01:29,440 Speaker 1: sock two order and you're definitely going to need to 26 00:01:29,440 --> 00:01:31,800 Speaker 1: make sure it's got rock solid security so that nobody 27 00:01:31,840 --> 00:01:34,240 Speaker 1: can swipe all of that data and then you get sued. 28 00:01:34,640 --> 00:01:37,200 Speaker 1: I also assume you're going to effectively take an engineer 29 00:01:37,240 --> 00:01:40,200 Speaker 1: off of one of your team's probably for good, to 30 00:01:40,240 --> 00:01:44,280 Speaker 1: be honest, to maintain your new internal salesforce Monday Microsoft 31 00:01:44,280 --> 00:01:47,760 Speaker 1: three sixty five and Notion clones you Trello cu clone 32 00:01:47,760 --> 00:01:50,240 Speaker 1: as well. Probably you're a sana What I mean, how 33 00:01:50,320 --> 00:01:53,040 Speaker 1: much software are you gonna build? Good? Thing? You've got 34 00:01:53,120 --> 00:01:55,680 Speaker 1: clawed code to help speed that up, right, Just make 35 00:01:55,680 --> 00:01:58,400 Speaker 1: sure you read everything it writes, because every little fuck 36 00:01:58,480 --> 00:02:01,320 Speaker 1: up just became your problem, and you've got nobody to 37 00:02:01,400 --> 00:02:04,360 Speaker 1: scream at, because while your company is saving fifteen dollars 38 00:02:04,360 --> 00:02:07,080 Speaker 1: per seep per month, you've also fired the people whose 39 00:02:07,120 --> 00:02:09,320 Speaker 1: job it is to make sure your nasty little software 40 00:02:09,320 --> 00:02:13,120 Speaker 1: subscriptions actually fucking function. And while you may fear that 41 00:02:13,160 --> 00:02:15,079 Speaker 1: a boss might try and force this down your throat 42 00:02:15,120 --> 00:02:17,600 Speaker 1: to save money. I must be clear how impossible this 43 00:02:17,720 --> 00:02:21,120 Speaker 1: task is. Even the most annoying, frustrating suffer as a 44 00:02:21,160 --> 00:02:24,880 Speaker 1: service contract protects you from the grueling, underlying maintenance and 45 00:02:24,919 --> 00:02:28,000 Speaker 1: infrastructural bullshit that goes into making sure the thing you're 46 00:02:28,040 --> 00:02:30,920 Speaker 1: paying for actually loads and functions wherever you load in 47 00:02:31,320 --> 00:02:33,200 Speaker 1: and even on the browser that you want to load 48 00:02:33,200 --> 00:02:36,760 Speaker 1: it in. In most cases, thank you riverside. The people 49 00:02:36,800 --> 00:02:39,880 Speaker 1: pushing this narrative are either fundamentally disconnected from how the 50 00:02:39,919 --> 00:02:44,800 Speaker 1: world works or actively incentivized to mislead you. I've seen 51 00:02:44,880 --> 00:02:49,120 Speaker 1: this narrative propagated on multiple different business television shows and 52 00:02:49,160 --> 00:02:53,120 Speaker 1: supposedly respectable outlets, and it makes me genuinely worried that 53 00:02:53,160 --> 00:02:56,960 Speaker 1: we don't have a media industry prepared to dissect fundamentally 54 00:02:56,960 --> 00:03:01,160 Speaker 1: deceptive narratives. Just because it's possible for a non CODA 55 00:03:01,200 --> 00:03:04,200 Speaker 1: to cobble together a website that looks near identical to 56 00:03:04,240 --> 00:03:07,120 Speaker 1: a model's training data in the space of an hour 57 00:03:07,440 --> 00:03:10,920 Speaker 1: doesn't mean that we're replacing every software company, nor is 58 00:03:10,960 --> 00:03:14,239 Speaker 1: its ability to do so. Any indicator that will be 59 00:03:14,280 --> 00:03:17,280 Speaker 1: able to do more than that in the future. I 60 00:03:17,440 --> 00:03:20,320 Speaker 1: plead with the media, please stop filling in the gaps. 61 00:03:20,639 --> 00:03:24,480 Speaker 1: Please stop seeing every incremental improvement as proof of whatever 62 00:03:24,600 --> 00:03:28,000 Speaker 1: marketing slot Warrio Ama Day or Clammy Sam Altman is 63 00:03:28,040 --> 00:03:31,520 Speaker 1: trying to cram down your throats. You're being played, You're 64 00:03:31,560 --> 00:03:35,200 Speaker 1: being conned, and by extension, you're conning your listeners, your readers, 65 00:03:35,240 --> 00:03:37,960 Speaker 1: and your viewers. And once the bubble pops, I believe 66 00:03:38,000 --> 00:03:41,840 Speaker 1: they will demand an explanation from you. I certainly will, 67 00:03:42,600 --> 00:03:46,280 Speaker 1: and really, in this era, I think people are under 68 00:03:46,440 --> 00:03:49,080 Speaker 1: selling how big a reckoning there will be when the 69 00:03:49,120 --> 00:03:53,040 Speaker 1: bubble collapses. How are we meant to trust anybody who 70 00:03:53,360 --> 00:03:57,640 Speaker 1: vociferously pushed this or who got obsessed with AI once 71 00:03:57,680 --> 00:03:59,880 Speaker 1: all of this falls apart. When I say falls apart, 72 00:04:00,200 --> 00:04:03,000 Speaker 1: I mean that the current rates that you are paying 73 00:04:03,280 --> 00:04:06,520 Speaker 1: are not even close to being sustainable. I'm currently working 74 00:04:06,600 --> 00:04:08,400 Speaker 1: on a piece called the Hater's Guide to Anthropic on 75 00:04:08,400 --> 00:04:12,120 Speaker 1: my premium newsletter, and I found a mathematical study that 76 00:04:12,200 --> 00:04:16,240 Speaker 1: found that on a twenty dollars a month CLAWED subscription, 77 00:04:16,680 --> 00:04:20,760 Speaker 1: you can spend over one hundred dollars of anthropics API tokens, 78 00:04:20,960 --> 00:04:23,600 Speaker 1: and on the two hundred dollars a month about two 79 00:04:23,720 --> 00:04:28,320 Speaker 1: three hundred to seven hundred dollars. You got to I 80 00:04:28,320 --> 00:04:31,279 Speaker 1: guess it takes money to lose money. But this is 81 00:04:31,520 --> 00:04:34,599 Speaker 1: the reality of the AI bubble. Everything you were using 82 00:04:34,680 --> 00:04:39,359 Speaker 1: is being subsidized. It's being subsidized by these companies in 83 00:04:39,400 --> 00:04:41,400 Speaker 1: the hopes that it kind of bakes into your life, 84 00:04:41,440 --> 00:04:44,800 Speaker 1: except it's not good enough to do that. The frenzied 85 00:04:44,920 --> 00:04:49,680 Speaker 1: media push under clawed Code existed to kind of beguile you, 86 00:04:50,000 --> 00:04:52,200 Speaker 1: to make you think that there's more happening than a 87 00:04:52,240 --> 00:04:54,000 Speaker 1: tool that might be able to kind of build a 88 00:04:54,000 --> 00:04:56,960 Speaker 1: website sort of or build you some half functional software 89 00:04:57,000 --> 00:04:59,719 Speaker 1: that maybe works sometimes, and when it comes to actually 90 00:04:59,720 --> 00:05:02,120 Speaker 1: building that into something you could sell your shit out 91 00:05:02,120 --> 00:05:04,360 Speaker 1: of luck. You actually do need to code. And even 92 00:05:04,560 --> 00:05:08,160 Speaker 1: the things that you vibe code weren't really secure or functional. 93 00:05:09,279 --> 00:05:13,039 Speaker 1: And even that mediocre web slop you're seeing spooched out 94 00:05:13,040 --> 00:05:17,240 Speaker 1: by claud code is heavily subsidized. If people had to 95 00:05:17,240 --> 00:05:20,120 Speaker 1: pay the real rates, those people you see jacking off 96 00:05:20,160 --> 00:05:22,640 Speaker 1: on Twitter about claud code, they'd be paying two hundred 97 00:05:22,680 --> 00:05:25,680 Speaker 1: plus dollars a day. Do you think they'd actually pay that? 98 00:05:26,040 --> 00:05:28,680 Speaker 1: Do you think that's actually happening because I'm sick and 99 00:05:28,720 --> 00:05:31,200 Speaker 1: fucking tired of hearing all the people rambling about claud 100 00:05:31,240 --> 00:05:34,400 Speaker 1: code writing all the goddamn code. I'm sick and tired 101 00:05:34,440 --> 00:05:36,440 Speaker 1: of it because I don't see what the end point is. 102 00:05:36,800 --> 00:05:40,160 Speaker 1: I don't hear an actual result from this. I think 103 00:05:40,160 --> 00:05:42,919 Speaker 1: people should be laid off. But if this was doing 104 00:05:42,960 --> 00:05:45,200 Speaker 1: the thing that they were saying it would that al 105 00:05:45,240 --> 00:05:47,960 Speaker 1: would be happening, and that would be definitively connected to AI, 106 00:05:48,200 --> 00:05:51,640 Speaker 1: or more software would be being shipped. That's actually good. 107 00:05:52,520 --> 00:05:56,680 Speaker 1: Just more software existing doesn't mean the software's functional or useful. 108 00:05:56,920 --> 00:05:58,960 Speaker 1: And if you look at VIBE coded apps, they all 109 00:05:59,040 --> 00:06:01,560 Speaker 1: kind of look the same. And that's the result of 110 00:06:01,240 --> 00:06:04,719 Speaker 1: the more using the same training data. And it's why 111 00:06:04,960 --> 00:06:07,919 Speaker 1: these things are not really good at building nuanced or 112 00:06:08,440 --> 00:06:11,400 Speaker 1: unique software, because that's not what they do. They copy 113 00:06:11,480 --> 00:06:14,040 Speaker 1: software that's already been written, and they do so with 114 00:06:14,120 --> 00:06:18,279 Speaker 1: no intention, no real plan, and nothing you can look 115 00:06:18,320 --> 00:06:20,560 Speaker 1: back on and say, oh, right, that's why they built 116 00:06:20,600 --> 00:06:23,280 Speaker 1: it this way. And perhaps that's not a problem as 117 00:06:23,320 --> 00:06:25,599 Speaker 1: you're a solo person building your own deadly little lap, 118 00:06:25,800 --> 00:06:28,120 Speaker 1: but expand that to one thousand people or ten thousand 119 00:06:28,200 --> 00:06:31,760 Speaker 1: people let's say five ten years passes, and let's take 120 00:06:31,800 --> 00:06:35,720 Speaker 1: one of these what I think are bullshit statements about how, oh, 121 00:06:35,839 --> 00:06:39,120 Speaker 1: ninety percent of our code's written by AI. Great, what 122 00:06:39,240 --> 00:06:41,080 Speaker 1: happens in three years or four years when you go 123 00:06:41,120 --> 00:06:43,120 Speaker 1: and look back and that, you go, shit, why did 124 00:06:43,120 --> 00:06:46,320 Speaker 1: we do that? Are the person left or the person 125 00:06:46,320 --> 00:06:48,800 Speaker 1: didn't leave. They've just been drinking heavily and they don't 126 00:06:48,800 --> 00:06:50,919 Speaker 1: really remember what they were prompting the model with. And 127 00:06:51,320 --> 00:06:53,440 Speaker 1: oh man, how do we actually see why they built 128 00:06:53,440 --> 00:06:56,599 Speaker 1: this or what the reason was. This becomes a huge 129 00:06:56,600 --> 00:06:59,040 Speaker 1: problem when things start breaking, when you have to make 130 00:06:59,080 --> 00:07:01,599 Speaker 1: things more efficient, and then people will say, oh, we 131 00:07:01,720 --> 00:07:05,240 Speaker 1: use AI to fix them. At some point, you're just 132 00:07:05,360 --> 00:07:08,679 Speaker 1: looking at a kind of a rat's nest of crap 133 00:07:09,560 --> 00:07:16,240 Speaker 1: of code written unintentionally spooched out meaningless. How do you 134 00:07:16,280 --> 00:07:19,560 Speaker 1: fix that long term? How do you build an efficient 135 00:07:20,000 --> 00:07:22,440 Speaker 1: software package out of that? How do you build software 136 00:07:22,480 --> 00:07:24,840 Speaker 1: that continues to run well into the future. Is the 137 00:07:24,880 --> 00:07:28,400 Speaker 1: idea that you just build AI on AI? God? No, anyway, 138 00:07:28,440 --> 00:07:30,840 Speaker 1: I think once the real costs are charge, people are 139 00:07:30,840 --> 00:07:34,119 Speaker 1: gonna drop this shit like a bad habit. I can't wait, 140 00:07:34,280 --> 00:07:36,000 Speaker 1: and I'm gonna be smug about it. I'm gonna be 141 00:07:36,000 --> 00:07:39,280 Speaker 1: annoying about it, not gonna lie. But I think based 142 00:07:39,280 --> 00:07:42,360 Speaker 1: on the YouTube comments, you're all gonna join me. Now. 143 00:07:42,440 --> 00:07:44,600 Speaker 1: Next week we've got more Hater season, and I'll be 144 00:07:44,640 --> 00:07:46,960 Speaker 1: back with one of these monologues. Maybe orerhaps I'll give 145 00:07:46,960 --> 00:07:50,000 Speaker 1: you multiple interviews, done some weird ones. Got Victorious Song 146 00:07:50,080 --> 00:07:53,320 Speaker 1: on wellness, Got Adam Becker on Epstein. I mean, got 147 00:07:53,360 --> 00:07:56,560 Speaker 1: all sorts of shit coming. Looking forward to bringing you more, 148 00:07:56,800 --> 00:07:57,680 Speaker 1: and I love you all