AI riddle: why is playing chess a solved problem, yet detecting porn is a huge mess, and autonomous driving still in beta, human safety drivers required, after decades of research?https://www.wired.com/story/tumblr-porn-ai-adult-content/ …
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I think that it is possible that the people that Verizon employs to make tumblr Apple store compliant within 2 months don't play in the same league as those that Google employs to solve Go within 2 years.
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The answer is in the different kinds of uncertainty in problems. Read: https://medium.com/intuitionmachine/where-is-deep-learning-applicable-understand-the-known-unknowns-f4272e3136ec … .
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I think that solving driving is harder than solving chess, because it contains myriads of edge cases. The fact that humans often deal poorly with these edge cases as well does not excuse the AI in our eyes.
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Tesla's AP 2 has made huge gains in the 1.75 years I've had my car, but I still treat it like a new teen driver. When we did strictly symbolic AI we were stymied by brittleness. For all the advances, DL is still brittle, just in different ways.
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