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Is There a Dominant Paradigm in Machine Learning?
On the ML side you've kind of talked about or coming back to machine learning. You've talked about this idea of AI generating algorithms as one of the possible paths to getting us to generalize artificial intelligence. Why don't you talk about that and introduce that idea in the context of the other paths and how you think about the role each of them will play? So I think that if you look out into machine learning it's pretty clear that there is kind of a dominant paradigm, but we have to push on three pillars. One we have to metal in the architectures. Two we have toMetal in the learning algorithms themselves. And three we have to automatically generate the learning environments so that the