If the field of ML shifts towards having a better understanding of models …
I think this would be a negative outcome, and not a positive one.
Specifically, I think it means faster capabilities progress, since ML folks might run better experiments. Or worse yet, they might better identify and remove bottlenecks on model performance.
I think this would be a negative outcome, and not a positive one.
Specifically, I think it means faster capabilities progress, since ML folks might run better experiments. Or worse yet, they might better identify and remove bottlenecks on model performance.