It might be more efficient for any particular case, but it’s adding special-casing to compensate for a general gap in the awareness capabilities of LLMs. And th

It might be more efficient for any particular case, but it’s adding special-casing to compensate for a general gap in the awareness capabilities of LLMs. And the latter is what I think needs to be solved for LLMs to become universally more reliable.