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I disagree. Not axiomatically because you’re kind of right, but enough to comment. OpenAI doesn’t believe in optimizing the traisning costs of AI but believes i
by ComputerGuru 2y ago
I disagree. Not axiomatically because you’re kind of right, but enough to comment. OpenAI doesn’t believe in optimizing the traisning costs of AI but believes in optimizing (read: maxing) the training period. Their billions go to collecting, collating, and transforming as much training data as they can get their hands on.
To see what optimizing model operation looks like, groq is a good example. OpenAI isn’t (yet) obviously in that kind of optimization, though I’m sure they’re working on it internally.
- svnt 2y agoMy argument wasn’t that the well-funded entities were optimizing to reduce training costs, but the opposite: they need creative ways to spend $1B that provide some tangible advantage. But they need operating costs to be low or they lose money and try to somehow make it up on volume. I would roll data acquisition/cleaning processes into training costs for purposes of this because what else is the data for if not training? If 4o wasn’t an optimization for model operation costs what was it?