AlphaGo, trained using supervised learning using games from KGS: https://storage.googleapis.com/deepmind-media/alphago/AlphaGoNaturePaper.pdf https://storage.g

AlphaGo, trained using supervised learning using games from KGS: https://storage.googleapis.com/deepmind-media/alphago/AlphaGoNaturePaper.pdf https://storage.googleapis.com/deepmind-media/alphago/AlphaG... AlphaGo scratch: https://www.nature.com/articles/nature24270.epdf https://www.nature.com/articles/nature24270.epdf I was specifically talking about AlphaGo, not AlphaGo scratch. Also, if you read the paper about AlphaGo scratch, the key innovation driving the self-learning is the use of MCTS as a policy improver, which couldn't have feasibly been done without AlphaGo and the supervised learning. And I think Hinton is saying that we need fundamental breakthroughs for AI, and I don't think he is in favor of "traditional" modern neural network architectures. Anything that requires SGD, he doesn't like.