I think LLMs perform better at code than human language tasks because there's no clear way to eval human language tasks in a non-ambiguous or concrete manner. A

I think LLMs perform better at code than human language tasks because there's no clear way to eval human language tasks in a non-ambiguous or concrete manner. Any sort of eval that happens around language is transformation tasks, which have deterministic properties or goals. The fuzzy side of human communication can only be modeled probabilistically because there are no clear boundaries. Human communication is more like a felt mutual agreement where the correct interpretation is generally determined by popularity.