The main issue is sota LLMs can only reason one way - forwards, and can't go back and revise a prior statement. That would remove a whole lot of "it's not this

The main issue is sota LLMs can only reason one way - forwards, and can't go back and revise a prior statement. That would remove a whole lot of "it's not this is that" and "the big takeaway here is" and so on. Those kinds of ideas are typically at the beginning of a human writer's output structure. An LLM can't go back and edit the first paragraph, because it has to reason (for whatever that means for LLM) it's way through it to get to the big idea of the paragraph/structure. I haven't played with diffusion text models enough to know if that's a remedy for that kind of output. When LLMs are good enough to not be detectable, what happens then? They aren't that far away atm, so it's only a matter of time until _everyone_ is assumed to be an LLM.