alt Hacker NewsRight, there's a difference between statistical interpolation and semantic induction. The whole point is that LLMs can't reason from first principles to drive missing rules. It keeps confidently feeding you approximations until it collides with some source that already mapped it.
Interesting take, given that the whole reason LLMs are interesting is that they're the first system we have that can work in semantic space. Statistical interpolation, that we've solved long ago.