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Makes you think about what we think today that will be seen likewise by future people.

You're being downvoted, but we' re basically drunk on these amazing successes in Computer Vision and apply at least some magical thinking when expecting them to extend to general (e.g. reinforcement learning) domains.

AI is doing a lot better now than in the 1980s. AI back then was groups at MIT, Stanford, and CMU, and a few small groups elsewhere. Almost all the 1980s AI startups went bust.

This time, there's enough success that the field is self-funding. Cynically, because mediocre machine learning is good enough for ad targeting.

You mean AI planning and stuff?

I’m bearish on reinforcement learning right now. Is there good stuff happening in a comparable front? (Will a blocks world solver ever play Super Mario?)

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