Just because I can run near frontier level open weight models doesn’t mean I can continue to train models of equal or superior performance, doing that requires massively more hardware. And even if I did, that doesn’t mean I can serve those models to millions or billions of users.

My point is that I would rather have 1000 labs training and serving inference than 2 because that would distribute the wealth creation more broadly rather than allowing OpenAI and anthropic to capture all the value, it would drive more innovation as a broader set of experiments are pursued in parallel.