The speaker considers applying reinforcement learning throughout the experimental loop an ambitious goal, but believes progress toward it is gradual.

“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.”