Top Facebook Scientist Quietly Plotting 'Autonomous' AIs

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Top Facebook Scientist Quietly Plotting 'Autonomous' AIs
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This is as cool as is it is frightening.

— that describes a lack of "common sense" in current AI effort and lays out a pathway to future iterations that "learn as efficiently as humans and animals" as they become increasingly autonomous.

"A self-driving system for cars may require thousands of trials of reinforcement learning to learn that driving too fast in a turn will result in a bad outcome, and to learn to slow down to avoid skidding," the pioneering AI researcher wrote. "By contrast, humans can draw on their intimate knowledge of intuitive physics to predict such outcomes, and largely avoid fatal courses of action when learning a new skill.

While it doesn't sound all that sexy, something akin to intuition will likely be required to move AI from its current — and admittedly impressive, albeit in narrower domains — state to something closer to human intelligence. Because he's a scientist, the Meta AI chief's next generation algorithm-training architecture involves a bunch of moving parts such as a system that replicates short-term memory, another that teaches neural networks self-criticism, and the establishment of a "configurator" module that synthesizes all inputs into useful information. Here's his diagram:

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