Earlier quoted context omitted.
But if a LLM writes such a paper, how do you know there aren't any issues in it that cause wrong probabilities/distributions?
You don't, that's why you review it (just how you would handle a real human submitting a paper). The main issue with LLM papers is that they tend to be very dense/circuitous or—because LLMs don't truly understand what they're doing—have the wrong focus. An LLM might spend pages on a trivial result, but quickly gloss over a truly remarkable finding. Terry Tao talks about this challenge in some of his blog posts and in…
Yes, for inspiration or search they are great tools.