An algorithm can model uncertainty mathematically, but it never has a quiet mind. It processes data, updates probabilities, and optimizes over possible outcomes, but it doesn’t *feel* ambiguity. To truly lean into uncertainty, an algorithm would need a value system that rewards exploration over exploitation, something a purely computational system doesn’t possess unless explicitly programmed to simulate that. So while you can design algorithms that tolerate noise and even exploit it, they’ll always be tools, not minds, and the nuance of a quiet mind is outside their reach.