TLDR: while the way deep learning reaches conclusions can be opaque, those conclusions can supercharge human intuition, leading to mathematical and scientific c

TLDR: while the way deep learning reaches conclusions can be opaque, those conclusions can supercharge human intuition, leading to mathematical and scientific conjectures that can then be justified or proven with rigorous, transparent, logical arguments and data. Some famous mathematician, whose name I've forgotten, said something like "the trouble is not the proofs, but knowing what to prove." Humans have always relied on heuristics to discover what might be true before confirming it rigorously. If deep learning provides powerful heuristics, it can be a tremendous aid to scientific progress.