Because deep learning theory is currently underdeveloped, a failed test may be difficult to diagnose: it could reflect an implementation error rather than a theoretical flaw.

“Then we would then kind of and I think this is where the like there should be a deep a theory of deep learning people look at we should now go and say exactly that we need to explain this the problem is right now it's really really difficult because we have so little theory that the reason it could not work or it did not work could be just an implementation error because we don't have a good enough idea of what we do yet.”