Do you think that the widespread availability of machine learning tools and courses is helpful for AGI research, because it enables others to make faster progress, or hinders AGI research, because it fixates on the wrong models and frameworks?
It could be that the brain is only the best solution if you are stuck with probabilistically binary firing cells, no random access and very expensive wiring, and you want to generalize what it does
