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Every different kind of neural net architecture has a different personality to it. And like what are those things for themselves? That's always been our question. There's something about the process of a learning system that creates something that through sound, we can hear what's happening with it. The more you listen to it, the more you like piece together. It's not a logical if and system. But also, RNNs have this really nice property that hasn't been explored yet that now we're looking at.