| ▲ | geon 5 hours ago |
| Garbage. You can't include training by the companies that develop an llm in the comparison against companies that merely use the same llm. Apples and potatoes. |
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| ▲ | rh94 10 minutes ago | parent | next [-] |
| Excatly, further more it really depends on who is using it and how value is compared not $. Senior engineers growing without ai will probably deliver 10x in value then ppl who just found out about ai yesterday. Doesn’t matter how much you spent dolar wise |
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| ▲ | peppevignanello 5 hours ago | parent | prev | next [-] |
| Exactly, it's like saying Shell is spending a fortune on fuel compared to what they spend on employees, if you count oil extraction costs as 'fuel'. |
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| ▲ | general1465 5 hours ago | parent [-] | | So where are these training costs getting paid from? | | |
| ▲ | ssivark 4 hours ago | parent | next [-] | | It'll get paid from revenue, not by redirecting employee salaries. All that AI+compute is literally what customers pay Anthropic for. Big AI labs are not software companies where payroll dominates expenses. They're capex-heavy industrial entities; it just so happens that the "machines" (whose output they sell) are nominally the same category as the devices that their knowledge worker employees use on their desks. | |
| ▲ | mrweasel an hour ago | parent | prev | next [-] | | Compute (and IP theft) is the raw materials being used by the AI companies to build their products (the models). It doesn't make sense to compare OpenAIs or Anthropics compute spend to that of our average software company, because different products require different raw materials. Dropbox also use way more storage than Snapchat, that's an equally silly comparison. | |
| ▲ | seasox 4 hours ago | parent | prev [-] | | VC mostly, since Anthropic is not profitable. |
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| ▲ | niyikiza 4 hours ago | parent | prev | next [-] |
| I guess they should include tuition cost as well. |
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| ▲ | mazurnification 4 hours ago | parent [-] | | In a way in US it is - _IF_ ppl were rational economic agents and free market allocation worked student loans should reflect on the wages too. | | |
| ▲ | tryagainian 4 hours ago | parent | next [-] | | [dead] | |
| ▲ | ThunderSizzle 3 hours ago | parent | prev [-] | | Luckily we're not, because then your tip to a waiter/waitress would be dependent on their student loans remaining, especially considering how many expensive liberal arts majors struggle to find a sufficient career. |
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| ▲ | psychoslave 5 hours ago | parent | prev | next [-] |
| Apples and potatoes are both something people will need to eat if we want to see it from the human utility perspective, and they both require some land space to be allocated for their culture (though one can of course conjugate both culture). If you want to take the DDG LLM summary at fate value, apples are lower in calories and sugar but higher in fiber compared to potatoes, which are richer in vitamins and minerals like potassium and vitamin B6. Overall, apples provide more dietary fiber, while potatoes offer more protein and essential nutrients. Comparison rarely lead to one obvious all superior option that discard every other considerations. |
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| ▲ | croisillon 4 hours ago | parent [-] | | the saying "comparing x and y" implies that you compare something that one of them can't compete ; if people praise the softness of the skin first and foremost, comparing apples and potatoes won't lead interesting results | | |
| ▲ | psychoslave 3 hours ago | parent [-] | | Yes, that’s certainly what people mean generally. Now if we consider perspectives like the one elaborated by Marcel Detienne in Comparer l'incomparable[1], we can go a bit further. The comparison no longer starts with the goal to assess distinct objects in the frame of a given more or less established framework, and instead our attention is framed toward challenging ourself. That is, anchored toward finding what frameworks would allow to assess anything meaningful. And latter on, what does frameworks and framework creation reveals about ourself. [1] https://archive.org/details/comparerlincompa0000deti |
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| ▲ | iLoveOncall 5 hours ago | parent | prev | next [-] |
| OpenAI and Anthropic aren't charities, so whatever cost they inccur for training will be passed down to the companies using the models. So you absolute should include it. |
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| ▲ | onion2k 4 hours ago | parent | next [-] | | OpenAI and Anthropic aren't charities, so whatever cost they inccur for training will be passed down to the companies using the models You should, but with two important caveats. First, you don't know what their amortization schedule is like so you don't know what the impact on the pricing will be (are they going to pass the cost on over 5 years or over 20 years?), and second they may go bust before paying the cost down so they may not get a chance to pass it all on. If someone buys the company then they'll get a discount on the value, which means the training costs are just eaten by the investors. | |
| ▲ | zaphirplane 5 hours ago | parent | prev | next [-] | | Well … one was a non profit and I still can’t figure out how it kept the donations the tax benefits and because a trillion for profit company | |
| ▲ | InsideOutSanta 4 hours ago | parent | prev | next [-] | | The problem is how it's framed: Anthropic spends [...] about $2m of compute per employee per year against a likely all-in comp of $500k+. The rest of the software market trails. The top 1% of companies spend $89k per engineer per year on AI This framing makes no sense. The reason Anthropic spends so much on compute per employee is that they are building models. Anthropic employees aren't opening Claude Code and spending $2m in inference every year, so comparing it to other software companies, where AI expense is mostly inference, is completely incoherent. Yes, the cost has to be passed down eventually, but it's not passed down to one company; it's passed down to all of Anthropic's customers, so the actual share of that money will be distributed among Anthropic's clients. Look, I 100% agree with the idea that OpenAI and Anthropic are both unsustainable companies that have dug themselves so far into a debt hole that, most likely, the only way they'll be rescued is with government intervention, but this is still a terrible article. | |
| ▲ | scotty79 4 hours ago | parent | prev | next [-] | | > whatever cost they inccur for training will be passed down to the companies using the models Assuming their investors win the bet they placed on them. Which isn't given. | |
| ▲ | ErroneousBosh 4 hours ago | parent | prev [-] | | Why can't we pass on the costs of OpenAI and Anthropic's training back to OpenAI and Anthropic? Bandwidth isn't free, and all my life I've been told that piracy is theft. | | |
| ▲ | stavros 3 hours ago | parent [-] | | Because the money that OpenAI and Anthropic have to pay those costs with comes from the users who pay for the service. There is no "passing the cost" of anything. The consumer always pays all costs. |
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| ▲ | jonatron 4 hours ago | parent | prev | next [-] |
| Apples and oranges, or chalk and cheese. Why would you say apples and potatoes? |
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| ▲ | klibertp an hour ago | parent | next [-] | | I came to appreciate typos, slightly ungrammatical sentences, and creative plays on common phrases. They are completely absent in LLM output without a specialized prompt (and they seem to struggle to make believable language mistakes even when prompted), so they can serve as a signal when judging whether the text I'm reading was written by a human. As an aside, I observed my stance on proper English use changing in real time over the past 2-3 years. I used to be proud of writing clinically correct prose, and found mistakes in grammar and vocabulary grating. Now, I kind of welcome them and have stopped caring at all about committing such language crimes. I used to cringe when someone didn't capitalize the first words in their sentences - not anymore. I think we're years away from LLMs convincingly faking human-like mistakes (since all the work currently goes into avoiding them), so it's going to remain a useful signal for a while. | |
| ▲ | arrowsmith 4 hours ago | parent | prev | next [-] | | Maybe an ESL thing? "Potatoes" are literally called "earth apples" in some languages (e.g. pommes de terre in French; Erdäpfel in some German dialects.) | |
| ▲ | danaris 2 hours ago | parent | prev | next [-] | | I read it as trying to indicate that it's even more different than apples and oranges. Not sure it succeeds in that, but I think that's the intent. | |
| ▲ | nerbert 4 hours ago | parent | prev [-] | | Grape and aspergus, we all get it | | |
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| ▲ | avaer 5 hours ago | parent | prev [-] |
| I don't know, compute is compute. Arguably making complex software with LLMs isn't all that different from training a model to do a thing. You're throwing a lot of compute at the problem and hoping for a stochastic solution. The distinction will become even blurrier with time. Though I agree it might be informative to split it by industry sector. |
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| ▲ | alexjurkiewicz 5 hours ago | parent | next [-] | | AI training uses wildly more compute than most companies, who are generally building domain specific CRUD apps. Compare AI costs per-engineer-salary-dollar, because more expensive engineers probably need more expensive AI. | | |
| ▲ | eru 4 hours ago | parent [-] | | > Compare AI costs per-engineer-salary-dollar, because more expensive engineers probably need more expensive AI. Let's see how this works out in the long run. For a historical analog, more expensive engineers don't use more expensive computers (by and large). |
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| ▲ | scrollaway 5 hours ago | parent | prev [-] | | If you’re going to include AI training in costs, you should include education as part of the costs of an engineer … | | |
| ▲ | 4 hours ago | parent | next [-] | | [deleted] | |
| ▲ | imhoguy 5 hours ago | parent | prev | next [-] | | ... and that actually shows - senior engineers have spent actual paid time to train juniors. Plus they used to spent time contributing to open source projects or Stack Overflow, all the stuff which every company benefits from. | |
| ▲ | victorbjorklund 4 hours ago | parent | prev | next [-] | | And why only education? Everything the engineered needed so far should be included. Can’t have a dev that never eaten since they were born. | |
| ▲ | vksv6 5 hours ago | parent | prev [-] | | why stop there? Count how long and how much energy it took for evolution to produce that 3 chimp brain that is then educated, and add how long it took culture to produce the knowledge in text books for said education to be possible. |
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