You’ve probably seen the articles before about people who had tens of thousands of emails and magically took it down to zero in just a couple of days with the help of various tools, methods, or just being plain old fed up with having too many emails and sitting down to do the task manually. As someone who gets loads of emails for work, it’s an interesting concept that I wanted to try myself, and I was able to get some moderate success out of it.
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The alternative, push-button solvers that return a binary pass or fail with no intermediate state, gives AI nothing to learn from and no way to guide the search. Worse, proofs that rely on heuristic solvers often break when the solver updates or when developers make small changes to how they write their specifications, even when the changes are logically equivalent. You cannot build a reliable AI pipeline on a foundation that is not reproducible. (I discuss this in detail in a recent Stanford talk.)