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AI's economics don't make sense

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181–190 of 201 posts

Re: AI's economics don't make sense

#181

Earlier quoted context omitted.

Thanks for the link. There's not much of an argument here from Ed, though, besides that it's an unusual way to view or report margins. But it's not that unusual, right? If I build a house this year and sell it next year, the house might still be profitable even if next year I'm building 3 more houses, so the company as a whole is still in the red on an annual basis. I mean, I'm not a financial expert but that doesn't…

The first part of the argument is just noticing that Dario is carefully avoiding making factual claims about Anthropic. Like, if the bank asked you if your construction company was profitable, would it be acceptable to respond: "Well, hypothetically, if a construction company sold houses for more than it cost to build them, that company could be considered profitable. It is possible to imagine a stylized model of a c…

> hypothetically, if a construction company sold houses for more than it cost to build them, that company could be considered profitable.

Construction companies capitalize and depreciate over many years so they can answer "yes" they are profitable even when they are very cashflow negative. This is exactly Dario's point: model training costs are treated as expenses but in practice are much closer to construction costs. Model training effectively produces an asset, the model weights, which will generate revenue for many years into the future.

> Zitron argues that this isn't going to happen because training is actually something that companies need to do to retain customers at all.

This is exactly why Dario's point about each training run being profitable is so important. It suggest that this is not true. Customers are happy to use old models long enough to fully pay off their costs.

> there's a long history of companies using creative accounting

Zitron seems to know very little about accounting evidenced by him using terms like "gross margin" wrong in this article. He's pattern matching against his limited exposure to company financials to find superficial similarities between the AI labs and famous frauds. Find me a company that doesn't report non-GAAP measures. Google search claims 96% of SP 500 companies do it. Are they all frauds too? Sometimes non-GAAP adjustments are eye roll inducing but they are tolerated because they can be genuinely useful to get a fuller picture of the business.

Re: AI's economics don't make sense

#182

Earlier quoted context omitted.

But are there any viable AI products ? That's, I think, the root of his claim that it won't ever be good for anything. So far I have yet to hear of a really good, successful AI product. Coding tools arguably kind of work, but that's a pretty small addressable market, and it's still quite unclear whether any of them are viable long-term commercial bets. If you can get good results with Qwen 3.6-27B and Opencode what g…

What are you defining as good and successful?? ChatGPT has 800M+ WAU, that seems pretty good and successful to me (not financially but they have time). AI companies aren't selling coding tools. Claude Code is not a coding tool! It's a tool that does coding , which is subtly different. The total addressable market for a coding tool is all developers, which is maybe 25-30M people worldwide, the total addressable market…

I'd like to see one of the major AI players demonstrate a successful exit. I don't think Coreweave counts here, because their long-term success is so tightly tied to the AI bubble continuing forever, which it probably won't. I want to see a strong company emerge from the bubble and start delivering real, sustainable value to its customers and investors. That would convince me it's possible to build a decent product and a real business on LLM AI technology.

Re: AI's economics don't make sense

#183

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- Reproduce academic papers - Put coding projects online for me so I can share them with friends - Determine which books in a set are missing from the school library and find where they’re cheapest online - Figure out which soccer club the team I see practicing at the local rec center belongs to and how to register my son - Design a bunch of robot-themed handwriting activities for a kindergartner who needs to practic…

Google can't do any of these things

[dead]

Re: AI's economics don't make sense

#184

Earlier quoted context omitted.

> We need better critics of the industry. There's plenty, but they don't have enough material to post once a week. And if you don't post once a week, you don't end up on HN once a month. As simple as that. Looking at the blogs that show up on HN regularly, the usual hit rate is 10-25%.

Yes, but the HN crowd isn't Zitron's main audience. He appeals to smart people who don't understand anything about computing or business. I do not mean this in a disparaging way; it's a curious audience that has somewhat justifiable moral and aesthetic objections to LLMs and especially the companies peddling them. The problem is that Zitron has charm, an authoritative voice and a very aggressive online presence. That…

I started following early 2024, and the scene was much different - he was mostly a lone voice against the insane hype at the time, which definitely was not delivering. I liked hearing that opinion, amongst a wave of bullshit and slop and coming off the blockchain mania was very difficult to stomach.

The landscape has changed a lot, but his content has remained mostly the same, maybe much more aggressive and less curious (in the beginning he would entertain other viewpoints more often), but since the tech itself has changed around him, so his repetive shtick falls a lot more flat than it used to because he is completely unwilling to entertain any other position other than the one that established his blog/show.

Re: AI's economics don't make sense

#185

Earlier quoted context omitted.

I agree. Early on, it felt more like journalism, then I think he blew up and found something that works. If you challenge him on this, he will call you insecure or jealous, which I also find obnoxious[0]. I also find it highly ironic that all the ads on his podcast, at least on apple, are selling AI related products. [0] - https://www.reddit.com/r/BetterOffline/comments/1p5zv33/why_...

FWIW, iHeart Radio probably manages his ad runs. He likely has no say over which ads get run on his show, and as I understand, the podcast advertising market has slowed tremendously in 2026. Podcasting platforms can't be as picky as they used to be.

iHeart Radio ads are usually from other podcasts though. I listen through PodBean and all their ads are for other shows.

iHeart is so antiAI they added "Guaranteed Human" in the middle of every podcast they stream.

Does apple run additional ads on podcasts?

Re: AI's economics don't make sense

#186

I've sort of lost some respect for ed that I had early on in the hype cycle - he's still right about some things, but I can see him slowly and subtly retreating from his strong position, held even a few months ago, that these things will never ever be useful for anything and it's all a scam because they don't actually do anything at all except burn money. He would say it like 8 times a monologue. I remember one podca…

I've only read a few of his pieces here and there and had just assumed he was an AI skeptic, so I never thought his position was LLMs would never be good for anything at any price. That's a pretty extreme thing for any serious person to have ever claimed. Frankly, it seems more like a straw man exaggeration of AI skepticism. I consider myself to generally be an AI skeptic, but to me that means skepticism about: 1) Ne…

Yea, this is a good article documenting how he was claiming this early on in 2024, that the models were as good as they would ever be and mostly worthless:

https://www.theargumentmag.com/p/ais-biggest-critic-has-lost...

Re: AI's economics don't make sense

#187

Earlier quoted context omitted.

Extensively discussed elsewhere in this thread. Just start at the top and start reading comments.

Can you summarise? I only reached your comment after scrolling past all the others and I still don't have the answer. Is the new data that models are more useful for coding than they once were?

Cost of tokens goes down over time. Like by a lot. And it will continue to do so.

Imagine being in 2003 and saying compute costs won’t go down. That’s Ed lol.

EDIT: Some quick research on this so you guys have actual numbers: https://gist.github.com/dwaltrip/a037be938d2b5ecc8b8b238736e....

There's multiple separate angles that all contribute to token-costs going down: chip improvements, engineering improvements for running inference in general, AI architecture and training advances that give similar intelligence in a smaller model, improvements in the quality of the training data, data center design / economies of scale, networking and rack-level improvements that are multiplicative with chip advancements, and so on...

If you analyze the situation for 5 minutes, it's blindingly obvious that price-per-token will continue to improve. And there's a very similar case for intelligence-per-token as well.

And don't get me wrong -- I have many concerns about how this is all unfolding and how it will impact society. But let's get our basic facts straight.

Re: AI's economics don't make sense

#188
post #64

Earlier quoted context omitted.

> not been able to overcome the ongoing R&D and capex costs. And the cost of not-quite-paid tokens.

Which may or may not exist, hence this thread.

Non-paid tokens do definitely exist and they weren’t included in the remark about “substantial profit per paid token”. Underpaid/subsidized tokens also exist which don’t provide “substantial profit”.

Re: AI's economics don't make sense

#189
post #188

Earlier quoted context omitted.

Which may or may not exist, hence this thread.

Non-paid tokens do definitely exist and they weren’t included in the remark about “substantial profit per paid token”. Underpaid/subsidized tokens also exist which don’t provide “substantial profit”.

Are you talking about free promo tokens the company gives out, or are you implying that subscription tokens are sufficiently subsidized so as to be below cost?

Re: AI's economics don't make sense

#190

There's a few major problems with the article. The most obvious is that frontier labs are not charging remotely close to the cost of tokens; afaik most estimate north of 80% profit margins. As a reference, providers are profitably providing Kimi K2.6 for $4/1Mtok out. Is that as good as Opus? No, but it's probably at least Sonnet level, so that's ~4x cheaper than Sonnet while still being profitable to serve on the ma…

Your math is pretty bad 50$/h is a yearly cost of going by swedish standards, 50$/h × 40h/week × 48 weeks / year = 96k$/year At that rate is a really shitty bargin for 30% increase in productivity. Even if you drop it to 20$/h and sort of break even, you are loosing competens building and teory building, decreasing the likeleyhood of making architectual progress and risk getting bogged down in a swamp.

An employee often costs a company 2-3x their salary, so someone making 100k a year, costing 300k/yr, who is made 33% more productive (100k more worth of work to the company) offsets the compute cost.
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