It is not. You're operating under the assumption that all open math problems are difficult and novel.
This particular problem was about improving the lower bound for a function tracking a property of hypergraphs (undirected graphs where edges can contain more than two vertices).
Both constructing hypergraphs (sets) and lower bounds are very regular, chore type tasks that are common in maths. In other words, there's plenty of this type of proof in the training data.
LLMs kind of construct proofs all the time, every time they write a program. Because every program has a corresponding proof. It doesn't mean they're reasoning about them, but they do construct proofs.
This isn't science fiction. But it's nice that the LLMs solved something for once.
> nice that the LLMs solved something for once.
That sentence alone needs unpacking IMHO, namely that no LLM suddenly decided that today was the day it would solve a math problem. Instead a couple of people who love mathematics, doing it either for fun or professionally, directly ask a model to solve a very specific task that they estimated was solvable. The LLM itself was fed countless related proofs. They then guided the model and verified until they found something they considered good enough.
My point is that the system itself is not the LLM alone, as that would be radically more impressive.