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by vslira
381 days ago
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he's not wrong, if you can run a open weights model in any cloud, you can very straightforwardly estimate the cost of running the model. considering that these providers either use long-term contracts or maybe even buy their own hardware, this theoretical cloud deployment is itself an overestimate of the costs |
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But:
A) it makes absolutely no difference to the fact you have no idea what the big LLM providers are actually doing.
B) Just asserting some random thing and saying “anyone competent can verify this themselves” is a weak argument. Youre saying youve done the research, but failing to provide any evidence you actual have
If youve crunched the numbers then man up and post them.
If not, then stop at “I think…”
“This is based on my experience running production workloads…” is a nice way of saying “I dont have any data to backup what Im saying”.
If you did, you could just link to it.
…by not posting data you make your argument non-falisifyable.
It is just an oppinion.