Given that your previous HN comments have stated your primary goal is making progress toward AGI, are you just funding methodological research or are you open to applications within ML, e.g. something like AlphaFold?
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.