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This reminded me that there are other NN variants that might help provide some clues in that direction.

Hopfield nets for example provide associative memory.

It may not all be groundbreakingly efficient, but very worthwhile.




Yep - also we have a large tendency to use feedforward NNs right now, but I have a sneaking suspicion that the future lies in something closer to recurrent NNs. Or probably something more complex, like automata-ish properties (IIRC there is also some NN that uses Turing-like devices).


Nah. If we want properly humanlike AI software, we're going to have to find a way to make inference in probabilistic programs a lot faster.




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