New episode of The Information Bottleneck is out 🥳🥳🥳 with Max Welling (@wellingmax )
Max is a legend and a personal hero of mine, so this one meant a lot.
We got into which scientific problems ML can actually touch right now vs what's still too early, what the loop looks like when simulators, wet labs, and real experiments all feed back into each other, where the field is way too optimistic about generalization, and how you handle uncertainty when being wrong costs you a month in the lab. Also the academia → CuspAI shift and what it changed for him.
One of my favorite conversations we've done.
