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I recently interviewed someone taking a (reputable) online masters in machine learning, and they couldn't describe how or why any of the models they were using worked, nor could they answer most basic questions about the problems / data they were working on.

Smart Reply scans a message that hits your inbox, decides whether it’s worth answering, and formulates three responses with its neural network.

One of the key issues when building an AGI is that it will have to make sense of the world for itself, to develop its own, internal meaning for everything it will encounter, hear, say, and do. Failing to do this, you end up with today’s AI programs where all the meaning is actually provided by the designer of the application: the AI basically doesn't understand what is going on and has a narrow domain of expertise.

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