I admit I just don't understand this attitude. People had the same complaints that the code produced by early coding models was messy, lazy, poorly commented, had terrible architecture and so forth. The central complaint was that it was just too difficult for humans to review. The answer is just to improve the models and move on. Similarly now we're getting AI doing math. The proofs compile but are a mess. So just ma…
There's a fundamental difference between the goal of code and math. The goal of code is to produce software that does something useful. As long as the code does what it's supposed to do, arguably, it's good to ship. (As you imply, we want the code to be good enough to also be reasonably certain there are not too many bugs, that it is maintainable and can be extended etc. This is what early models failed at but now se…
Re: A beginning for mathematics
#131I won't understand it, but can benefit from it in better data structures with proven invariants, faster algorithms, convergence guarantees for some iterative computations, better practical linear algebra and matrix factorizations, deriving things in statistical hypothesis testing, tightening upper and lower bounds etc. I don't care if some mathematician somewhere who isn't me "understands" it or not. It has practical use. I know that practical is dirty peasant word for many ivory tower mathematicians but that's their problem and I don't interact with them much, except when they throw a hissy fit like this and try to ban restrict matchmaking to their guild and ban the plebs from getting math from anywhere but them on their terms.