Learning Concepts with Energy Functions
Every new technique is able to "quickly learn X."  Something most not be so quick, otherwise why aren't these techniques turning into AGI?I think the problem is the goal is not well defined.  So, increased velocity has no bearing on increased velocity towards the target.A side question, why is there no research into whether human intelligence is computable?  The assumption in AI is that human intelligence is computable, but I've never seen any good argument or evidence that this is true.  Seems very unscientific to exert so much energy into this research direction without validating the fundamental assumption.For example, the one instance I know of that defines AGI in a quantitative manner is Solomonoff induction (SI), but it is not computable.  If SI is representative of human intelligence, then AGI is impossible.