In the previous post , I showed you an AI doing something genuinely useful, helping me adapt a recipe for a dinner party. We talked about the basic loop: send a prompt to a foundation model, get a response. Today we're talking about why AI lies to you. You know how AI sounds confident when it's completely wrong? It's called hallucination , and it's the thing that'll either make you trust AI long-term, or burn you badly. The demo: same question, two models I asked two different models the same question in Amazon Bedrock Playground: "What happened at the recent Lyrids meteor shower?" Model 1: Amazon Nova Micro 1.0 Nova Micro gave me details. Dates, locations, numbers, all delivered with complete confidence. It didn't hesitate. It didn't caveat. It just answered as if it knew. But it doesn't know. Its training data ends in 2023 . Anything after that is a gap it can't see. It didn't flag that. It just filled the gap with something plausible. This is hallucination.…