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> This is obviously not true, you can use real data and common sense. It isn't "common sense" at all. You're comparing several companies losing money, to one a
by Someone1234 9mo ago
> This is obviously not true, you can use real data and common sense.
It isn't "common sense" at all. You're comparing several companies losing money, to one another, and suggesting that they're obviously making money because one is under-cutting another more aggressively.
LLM/AI ventures are all currently under-water with massive VC or similar money flowing in, they also all need training data from users, so it is very reasonable to speculate that they're in loss-leader mode.
- nodja 9mo agoDoing some math in my head, buying the GPUs at retail price, it would take probably around half a year to make the money back, probably more depending how expensive electricity is in the area you're serving from. So I don't know where this "losing money" rhetoric is coming from. It's probably harder to source the actual GPUs than making money off them.
- suddenlybananas 9mo agoelectricity
- defmacr0 8mo ago> So I don't know where this "losing money" rhetoric is coming from. https://www.dbresearch.com/PROD/RI-PROD/PROD0000000000611818/The%20largest%20start-up%20losses%20in%20history.report https://www.dbresearch.com/PROD/RI-PROD/PROD0000000000611818...
- mrgaro 9mo agoThere are companies which are only serving open weight models and not doing any training, so they must be profitable? Check for example this list https://openrouter.ai/meta-llama/llama-3.3-70b-instruct/providers https://openrouter.ai/meta-llama/llama-3.3-70b-instruct/prov...