> The further we get into the future, the more I think, what if our data-crunching approach to AI is simply the best thing there is? Technically speaking, as l

> The further we get into the future, the more I think, what if our data-crunching approach to AI is simply the best thing there is? Technically speaking, as long as we equate "AI" with "machine learning", it's a downright trivial statement. The important thing in ML isn't just the presence of "data-crunching", it's the quantity of training data relative to the size and complexity of the hypothesis class. As long as "intelligence" requires dealing with ambiguous sensorimotor data, it will involve some statistical component, and will therefore involve a "data-crunching approach" somewhere in it. >But these foretold "general" intelligences, who don't need excessive data, Hierarchical generative models already do phenomenally well at one-shot and small-sample learning against basically all previous ML methods. Yes, this includes deep learning.