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jppittma • last Wednesday at 9:06 PM • 4 replies • view on HN

I feel like the frontier labs are going to serve fast/lower intelligence models at a better per token cost than the open chinese models. You're telling me that in the long run, you're going to self-host your own ai infra for cheaper than google can serve it to you? I don't really buy it. I think the dedicated AI data centers are going to serve AI at a lower marginal cost than random businesses self-hosting, and then it's a question of how much of that margin they can capture.


Replies

msy • last Wednesday at 9:09 PM

Agree entirely but that's the point, if it's a margin knife-fight with marginal product differentiation/pricing power nobody is going to be making bank.

nextaccountic • yesterday at 8:57 AM

Ok but, if their moat is in cost effective inference, why are they training models?

If anything it looks like the first place is training their competition, through distillation, while not capturing much value in return

usef- • last Wednesday at 10:25 PM

Yes, it may come down to how well they get efficiencies from scale.

People always compare the inflated API prices, but subscription prices of American models are competitive for the intelligence. You get >20x the subscription cost in tokens.

pvab3 • last Wednesday at 9:26 PM

If they have to recoup training costs then they don't have much choice