I read neural network (NN) books in the 90ies, and they covered for example the problem with corner cases already. One thing I remember is a (comparatively simp

I read neural network (NN) books in the 90ies, and they covered for example the problem with corner cases already. One thing I remember is a (comparatively simple) NN which created the past tense of an english verb, and there are exceptions like "go" and "went". It preserved that for a while, but further training brought it back to "goed", because NNs do generalize and you need tons of additional "storage" in a NN to keep such corner cases around. That also means if you need (near) 100% reliability you are in the wrong place when it comes to NN aka "AI".