The Biggest Myth About AI (And Why It Matters) | Autoregressive Prediction | AI made simple

Most people think Large Language Models understand, plan, and think before they write. They imagine an inner voice. A hidden reasoning engine. A system that reads your question, forms a plan, and then carefully constructs a response. But that’s not what’s happening. In this video, we break down the biggest myth about LLMs and explore what’s really going on: What “next-token prediction” actually means How autoregressive generation works Why models output probability distributions, not answers Greedy decoding vs sampling Temperature, Top-k, and Top-p explained simply Why intelligence fe…