Haha totally fair and it happens to me too, but trying to work on it.
I actually have some stuff I'm working on in that area that is having some success. I do need to extend it to diffusion but I see nothing stopping me.
Personally I think a major slowdown for our community is it's avoidance of math. Like you don't need to have tons of math in the papers, but many of the lessons you learn in the higher level topics do translate to usable techniques in ML. Though I would also like to see a stronger push on theory because empirical results can be deceiving (Von Neumann's elephant and all)
I actually have some stuff I'm working on in that area that is having some success. I do need to extend it to diffusion but I see nothing stopping me.
Personally I think a major slowdown for our community is it's avoidance of math. Like you don't need to have tons of math in the papers, but many of the lessons you learn in the higher level topics do translate to usable techniques in ML. Though I would also like to see a stronger push on theory because empirical results can be deceiving (Von Neumann's elephant and all)