I like that he doesn't use the typical AI jargon. I think its time to stop using science-fiction-writer terms to talk about our layered nonlinear unit systems.

I like that he doesn't use the typical AI jargon. I think its time to stop using science-fiction-writer terms to talk about our layered nonlinear unit systems. There is so much talk about "General AI", "Strong" and "Weak" AI, and also about "Intelligence", but none of these are well-defined enough to be useful. These are just words, not things that exist in the world out there. What we have here is a system that generalizes in a way that is human-like. It's a mystery why this looks so human-like to us, given that neural networks are only barely resembling of actual neural networks, and that is a problem. Reading the neuroscience of plasticity, it's still not clear whether learning takes place via synapse modifications. What these amazingly capable neural networks do, however, is to bolster the idea of connectionism in neuroscience, which is an interesting, given that the relationship between the two started the other way around. P.S. Michael Nielsen must be one of the very few people who can explain any concept in almost absolute clear and simple terms.