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People moving between labs and taking ideas with them is a big factor. But I feel like this is much less prevalent in other tech. Like people probably go from SpaceX to Boeing, and yet Boeing hasn't put out a reusable rocket yet. Are those other areas just slower?

Another interpretation: Most meaningful AI improvements actually still come from academia and are already published. Labs just need to figure out which ones to apply and how to scale them up, so nobody has any secret sauce.

And another one: Maybe the difference is that AI labs are so well funded. Thus, once one lab demonstrates that approach X works, all the other ones will pour ~unlimited resources into copying it.