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Comment by vibe42

6 hours ago

Something I've had good progress with using local models and simple open-source harnesses is to repeat, in a new context, simple verification prompts.

I'd run the following 5-10 times with one model, then again with a 2nd model.

"Verify the correctness and completeness of all security configs/rules in SETUP.md. Consider if anything is missing, and if anything is not needed. Do not modify any files; only write potential findings to report.txt"

"Verify all findings and claims in report.txt."

Replace "SETUP.md" with whatever you're working on.

It's both terrifying and incredible watching what the models get correct and what they get completely wrong.

However, after enough runs they tend to settle on a state they claim does not need any more edits. And that result is generally useful with much fewer errors/hallucinations compared to a single run.

Don't you think "consider if anything is missing" leads them into adding something with sycophancy RL training and "if anything is not needed" making it remove something?

Or does "verify all claims in report" counteract that?