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Yeah, but Wright's law (cost of making the n^th something (like a token) being exponentially less than the cost of making the first) strongly suggests that post-bubble inference will be significantly cheaper the longer the bubble lasts.

Whether that's a good thing considering the other things those dollars could be going towards...

The chinese models are being trained for less than a million a pop.

I mean I'm happy for better but it might start grounding the industry where 1.6% better on some benchmarks doesn't justify hundred million investments.