Article reeks of LLM mannerisms in a pretty obnoxious way. I read it anyways and surprise surprise, it boils down to: - Ridiculously NP problem space that we g

Article reeks of LLM mannerisms in a pretty obnoxious way. I read it anyways and surprise surprise, it boils down to: - Ridiculously NP problem space that we guess and check with ML heuristics. - Problem: not enough training data Cool enough work, but the LLM generated fluff in the article really takes away from it.