The speaker sees evaluating open-weight models for faster execution and post-training them with reinforcement learning in purpose-built environments as potential work for AI teams.

“You, you start to wonder, can you do it faster on o- you know, open weight models? And then that's a lot of that... Then a lot of what I think the, the purpose of, of the AI pieces are is just to post-train those models, build environments for, you know, kind of to post-train using RL and things of that nature.”