Why do people think they can build anything worthy of the name "AI" by just fucking around with neural networks instead of by specifying exactly what sort of models and exactly what sort of inference constitute "intelligence" in the first place? It's like trying to build an airplane by studying hang-gliders instead of aerodynamics.
The Wright brothers started off by building gliders before they built the first airplane. So why is this approach the wrong one?
The success of fixed wing aircraft is not an ideal metaphor for the failures of AI research. Nor do the successes of neural nets herald the biomorphic approach, since they don't really resemble the brain very much.