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Gurkenglas comments on Deepmind Plans for Rat-Level AI - Less Wrong
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Note that DeepMind's two big successes (Atari and Go) come from scenarios that are perfectly simulable in a computer. That means they can generate an arbitrarily large number of data points to train their massive neural networks. Real world ML problems almost all have strict limitations on the amount of training data that is available.
On the other hand, it's simple to generate AI-complete problems where you can generate training data.