>I wish we had a faster way to test out more competing theories and models. Luckily, the state of actual cognitive science and neuroscience is fairly far ahead

>I wish we had a faster way to test out more competing theories and models. Luckily, the state of actual cognitive science and neuroscience is fairly far ahead of, "Gosh there's all these things and we just don't know." Unfortunately, MIT-style cogsci hasn't generated New Jerseyan fast-though-wrong algorithms for Silicon Valley to hype up, so the popular press keeps spreading the myth of our total ignorance. Besides which, we do know what's missing from deep learning: the ability to express anything other than a trivial Euclidean-space topological structure. We know that real data is sampled from a world subject to cause-and-effect, and that any manifold describing the data should carry the causal structure in its own topology.