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What if you narrowed down one side, like "Find a formula for solving arbitrary polynomial equations"? (I know this has been proven to not exist using human brai
by gosub100 3y ago
What if you narrowed down one side, like "Find a formula for solving arbitrary polynomial equations"? (I know this has been proven to not exist using human brainpower). but the idea would be: "I'm looking for a func that produces zeros to an input equation, now generate billions of tokens and evaluate them and keep the ones that minimize the search criterion". Couldn't that eventually find a useful result (for actually-solvable search spaces)?
I can see how it would fall apart quickly for something like the Riemann Hypothesis, because you're searching not for an equation (well, if you found a counterexample, sure) but for a nebulous classification problem: all solutions to this equation ( this series of tokens from this language that return zero) must lie on (I can't recall if it was literally on, or "around") re(1/2). Once you try to reason with infinite sets (domain/codomain) the logic of a CPU can't help you nearly as much.
- jerf 3y agoSimply generating all possible tokens is already an exponential problem. There really isn't any way around that. Analysis of them for any interesting property becomes super-exponential pretty easily. If you are going to do something more clever than "generate all tokens", then you're no longer talking about the same thing, and the analysis depends on the nature of your "more clever". Although starting with an exponential (or super exponential) process and then trying to "cut it down" to something reasonable is almost always a fool's errand anyhow. Starting yourself out in the position where you are not only behind the eight ball but have essentially already been murdered by it, and then cleverly working yourself back into a position where you've somehow won, is rarely, if ever, a good approach to solving a problem.