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.)
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“The abundance of goods and services will be very, very large. Prices will be very, very low,” he continued. “So I would suspect by 2040, $30,000 will buy—and maybe $10,000 will buy—much more than you can buy if you have $100,000 income today. So the level of income you need in a deflationary economy will be very different.”