The speaker's ultimate vision is to apply reinforcement learning broadly, including within the experimental loop.

“Obviously, the, the ultimate vision being that we want to RL everything. We want to do RL also in, in this loop. It's a bit out there, but you know, I think we're s-- we're slowly getting there.”