Secondly, are you contending that progress in model efficiency and hardware just stops at whatever level you think is sufficient to prevent individuals or organizations from acquiring sufficient resources to run advanced models?
Secondly, are you contending that progress in model efficiency and hardware just stops at whatever level you think is sufficient to prevent individuals or organizations from acquiring sufficient resources to run advanced models?
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.
It's just that so far nobody cares about explicit checks because they cost resources or slow down the models.
..."government of the people, by the people, for the people, shall not perish from the earth." -Lincoln, Gettysburg Adress
Unfortunately for AI, it still is. People still get to decide things at the city, town, village level.