I'm interested in anything that can help us get a better understanding of ML-related topics: generalization, tranformers, optimization... So I have a bias in fa

I'm interested in anything that can help us get a better understanding of ML-related topics: generalization, tranformers, optimization... So I have a bias in favor of experimentation and theoretical stuff, and less so about practical applications (eg AlphaFold as you mention). With the caveat that sometimes these applications do lead to discovery.