DeepMind's founder says to build better computer brains, we need to look at our own

#artificialintelligence 

After decades in the wilderness, AI has swaggered back onto center stage. Cheap computer power and massive datasets have given researchers alchemical powers to turn algorithms into gold, and the deep pockets (and marketing prowess) of Silicon Valley's tech giants haven't hurt either. But despite warnings from some that the creation of super-intelligent AI is just around the corner, those working in computational coal mines are more realistic. They point out that contemporary AI programs are extremely narrow in their abilities; that they're easily tricked, and simply don't possess those hard-to-define but easy-to-spot skills we usually sum up as "common sense." They are, in short, not that intelligent.

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