Do LLMs Know When They're Wrong?

We're moving past LLMs that just predict the next word. Discover a new frontier: models that can gauge their own uncertainty to improve reasoning. This video explores two brand new papers that turn the "Entropix" meme into practical, working code. Current methods like Chain-of-Thought are powerful, but they are essentially a model "thinking out loud." What if a model could recognize when it's on a bad path and correct itself? This is the core idea behind using token entropy and logprobs as a "confidence" signal. This video is for the AI builder, developer, and enthusiast who wants to look un…