Learning a hierarchy
It seems to me there's been an interesting turn in AI recently, toward focusing on adaptability as a goal in itself. Deep learning has shown that there is incredible power in stochastic gradient descent over a space of functions, but so far that has mostly been applied to rigid tasks. Now work like this is about turning that power towards adaptability itself as a goal, and it seems to me that this brings us towards "real" intelligence.The logical extreme of this thinking would be agents that actually maximize entropy of future actions as the only objective function, like in [1][1] http://paulispace.com/intelligence/2017/07/06/maxent.html