AI Learning Curve
AI is all the buzz these days. We are stunned by AI software beating Go and chess human champions and promised self driving cars and self caring machines anytime soon. But one of the key problem with AI (and, actually, with any "I") is maturity. Intelligence must go through a learning curve to mature and become intelligent. For humans this takes years. Years of continuous feedback stream: both positive and negative. And while the chess-playing software can use all the power provided by GHz clocks and GBs of memory, this is simply not possible in a self-driving scenario. Feedback in a game of chess is straightforward: you either win or you don't. So the software can try all possible ways and strategies and improve on each iteration after winning (or losing) a game. Self-driving cars would do the same if we simply let them all loose and allow to crash on each other. But for practical reasons this sort of feedback is not possible. A car cannot crash and try again and...