Further human + AI + proof assistant work on Knuth's "Claude Cycles" problem

Knuth Claude's Cycles note update: problem now fully solved, by LLMs - https://news.ycombinator.com/item?id=47306926 - March 2026 (2 comments)

https://chatgpt.com/share/69aaab4b-888c-8003-9a02-d1df80f9c7...

Claude's Cycles [pdf] - https://news.ycombinator.com/item?id=47230710 - March 2026 (362 comments)

https://twitter.com/BoWang87/status/2037648937453232504

Knuth Claude's Cycles note update: problem now fully solved, by LLMs | Hacker News

I've always said this but AI will win a fields medal before being able to manage a McDonald's.

Math seems difficult to us because it's like using a hammer (the brain) to twist in a screw (math).

LLMs are discovering a lot of new math because they are great at low depth high breadth situations.

I predict that in the future people will ditch LLMs in favor of AlphaGo style RL done on Lean syntax trees. These should be able to think on much larger timescales.

Any professional mathematician will tell you that their arsenal is ~ 10 tricks. If we can codify those tricks as latent vectors it's GG

Are they actually producing new math? In the most recent ACM issue there was an article about testing AI against a math bench that was privately built by mathematicians, and what they found is that even though AI can solve some problems, it never truly has come up with something novel and new in mathematics, it is just good at drawing connections between existing research and putting a spin on it.
It's finding constructions and counterexamples. That's different from finding new proof techniques, but still extremely useful, and still gives way to novel findings.