It’s a question of depreciation of the GPU vs time to deploy AI.

If RL and synthetic data creation are all we need for self-improving AI, the large labs have an internal use case to utilize all available compute, regardless of efficiency gains.

If they have to go external and deploy in the broader market, time to deploy would make the GPUs worthless before they are fully utilized.