How is spacex not short on money when no one will pay them to use their models and they lose money every quarter? Sure they’re now transitioning to a data center provider away from actually being an AI company because they’re losing less money that way but it doesn’t sound like a strategic success
replyInference can only happen after having invested in training and datacenter construction. Arguing about "inference profitability" sounds a lot to me like ignoring large cost centers of these comanies.
reply> Rumoured profits on inference are north of 70%.
replyRumors are worth squat when they’re most likely put in motion by the people with a vested interest in this industry.
Let’s talk about profits when there’s real data from the IPO documentation.
> Rumors are worth squat
replyYou can make some educated guesses and find out some limits on inferencing cost by looking at 3rd party providers on platforms like openrouter. You can get some median cost /tok for a given model size. Then make some educated guesses on SotA model sizes, and you can get an estimate on pure cost of serving a model. Error bars and all that, of course. But still a range, with some limits.
No, you can't really make educated guesses unless people start opening their books. Especially in an industry where the vast majority of firms make up valuations out of thin air and not based on any reproducible insights.
replyOpening their books would let you know things like profitability. I'm talking about cost per token, model development and human costs being irrelevant.
replyYeah take the gpu rental cost, what it can run, how many tokens per second come out and see the true rate per token. Plus the margin on harness special sauce
replySpaceX is increasing prices because they're trying really hard to get into the S&P 500.
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