It reasons, just not always right. Give it time and these systems will become the oracles of humankind. A utility we need to use as an extension of our lives to succeed in the society we live in.
“Give it time” and other dismissals are beside the point. The point seems to be that these models approximate results based on some hidden criteria, which means that although for a variety of practical purposes they fare better than people and are therefore preferable, there remain problems which are better suited to computing approaches that guarantee exhaustiveness… even though those other approaches sacrifice the malleability of neural networks.