The speaker recommends rich monitoring of AI training runs, evaluations, and inference to understand system behavior and investigate potential problems.

“Another thing that seems pretty important is to keep the methods you're using, first of all, monitor your training runs and your evaluations and all your inference in rich ways to just so that you can tell like what's going on and, you know, check if things are going wrong and investigate that.”