For Norbert Wiener, knowing was filtering: separating a stationary signal from corrupting noise. Contemporary AI inherits this premise, mistaking the statistical suppression of error for genuine understanding and judgment.
To Know Is to Filter: Norbert Wiener and the Mirage of Semantic Estimation
Stationary Assumptions, Kalman State-Space, and the Error of Statistical AI