Deep learning has made progress in many diverse areas, often leveraging a relatively small toolbox of powerful techniques. One promising area of application is formal mathematics and interactive theorem proving. I will talk about past progress and future possibilities, focusing on the big picture. I will also talk about the many challenges and how they connect to challenges in machine learning as a whole.
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