Forecasting the Forecast: Why Agentic AI Is Learning to Doubt Itself
Opening — Why this matters now Everyone wants AI to predict the future. Markets want alpha. Governments want warning signals. Executives want next quarter to behave politely. Yet most AI forecasting systems still operate like overconfident interns: one quick answer, suspicious certainty, and little memory of how they got there. A recent paper, Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs, proposes something rarer: an AI forecaster that updates its mind step by step, tracks evidence, and occasionally admits uncertainty. Revolutionary behavior, frankly. ...