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Yes. But this is just a start... Adversarial Networks is a possibility and would be a huge deal... I think the OpenAI implementation I mentioned in another post on this thread uses Adversarial networks to practice and get better (I can't find a reference I had read it on right now, so I might be misquoting... will post a link if I find it).
And recurrent networks (RNN), imagine having a chess AI trained with, maybe Anand's games. Now that'd result in a very interesting simulation of playing against a great grandmaster .
"It was when I found out I could make mistakes that I knew I was on to something."
"Philosophy is a study that lets us be unhappy more intelligently."
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