I'm an ML researcher, and I'm with sillysaurusx on this. I actually know most of the things on the list, but only because my research is mainly in model compres

I'm an ML researcher, and I'm with sillysaurusx on this. I actually know most of the things on the list, but only because my research is mainly in model compression and computational efficiency. Recently I've been interested in adapting diffusion models to generate music (in raw audio domain), and I'd say only 5 out of 18 bullet points in ML section are relevant - the rest falls from "nice to know" to "irrelevant".