Why not?

Whether through analogy or an actual underlying isomorphism between the mechanisms underpinning language and other domains, I don’t see a reason LLMs can’t occasionally have insights into non-language problems

Is it better than other methods? No. Is it efficient? Absolutely not.

I don’t work with LLMs but I think a lot of the HN’s users are prematurely skeptical of the potential low-hanging fruit across many domains that can be explored with these new, convenient but invariably suboptimal tools

Because they're not a magic box that spits intelligence, they're a reflection of their training data which will not contain these signals.

Yes, those systems can understand a bit of math. But it's weird that they would seriously try that given https://github.com/NX-AI/xlstm already exists.

I mean, it's cool to know that it works, but I don't get why would they invest any more time trying to improve the results.

Graph Reasoning exists.

"LLMs" are really general-purpose sequence models. No reason it can't work, but so far results have been mixed in practice.