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
Yes, those systems can understand a bit of math. As long as they have memory and can compare values, it should work.
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.
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