Its possible that the AGI obsession will fizzle. The analogy is fruitful to some extent as an inspiration. But it is too remote and ambitious to work as a roadm

Its possible that the AGI obsession will fizzle. The analogy is fruitful to some extent as an inspiration. But it is too remote and ambitious to work as a roadmap. There is precedence. People called certain algorithms neural networks, but they are very far from real neurons and they are not getting closer. Why should they? People will keep developing "AI" algorithms but it will be along the natural pathways that underlies these mathematical structures (which are rather simplistic) and focusing on problems that people find important.