In last couple of years it's become possible for computers to (cheaply) see the world & applications have multipled. What comes next?
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So what I'm really keen to identify now are the 'brick walls' in AI research roadmaps. What problems currently seem insurmountable? Why?
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what do you mean, exactly? Like Tenenbaum's need for prior models of the world (eg, pre-baked physics), or something else?
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essentially that you cannot reverse-engineer the mental models of a society of agents merely by modeling their communications.
End of conversation
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