[relevant_stats]

I don't know what your experience is, according to mine there are some people who are better than chance at picking this up.

And I believe my experience is something expected. People are also certain kind of a neural network. If an LLM system is trainable to be a decent detector, I don't see a reason why at least some people couldn't be.

[vidarh]

I haven't seen any evidence an LLM is trainable to be a decent detector for anything people have made any kind of attempts at trying to get past them. Which is as expected as access to a detector effectively makes the problem equivalent to the halting problem (you can tweak the output using a detector as judge until you have a process to bypass it). Some of them are somewhat able to recognised "raw" output.

[relevant_stats]

Yes, and the problem we are having here is 'raw' output. LLMgenerated slop is zero-effort bullshit, not an elaborate scheme to prove a philosophical thesis. There is no economy for mediaworkers doing the latter.

Similar as with coding, yes, halting problem!, but we've been always reviewing code nonetheless.

[vidarh]

When I'm talking about raw vs. something processed here, the only processing I'm talking about is a prompt or two to clean up the obvious artefacts.

[relevant_stats]

I'd be interested to test your claim, could you show me examples of this "prompt or two"?