I think it's more a demonstration than anything, but unlike these demonstrations, no one expected just how powerful deep nets could be. No one expected they could win Go, by contrast, everyone (in DL) expected that they could do these things.
I do agree though that meta-learning is the future and very interesting, especially interested in the fact that DRL can now construct nets better than humans (and you can actually speed it up with an in-house technique I'm not allowed to share :( ).
IMO, wavenet and pixelcnn/rnn demonstrate the power of convolutions as a general purpose AI and broke the reign of RNNs/LSTMs for many tasks.
I do agree though that meta-learning is the future and very interesting, especially interested in the fact that DRL can now construct nets better than humans (and you can actually speed it up with an in-house technique I'm not allowed to share :( ).
IMO, wavenet and pixelcnn/rnn demonstrate the power of convolutions as a general purpose AI and broke the reign of RNNs/LSTMs for many tasks.