AI doesn't just make mistakes, it makes them confidently.
In this episode, we explore the statistical reasons behind why language models hallucinate, why they sometimes invent facts that sound perfectly true.

It turns out the issue starts in training itself: models are rewarded for guessing rather than showing uncertainty. And when evaluation systems penalize “I don't know,” AI learns to bluff to win.

We break down what’s really happening under the hood, and how researchers are rethinking evaluation to make AI more self-aware, and a little more honest.