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Pierre-Simon Laplace

The French mathematician who imagined the perfect predictor, built the probability theory that makes imperfect prediction rigorous, and whose demon—and whose honesty about why it could never exist—is the most precise ancestor of everything artificial intelligence is reaching for and running up against.
Pierre-Simon Laplace sits at the headwaters of two rivers that converge in modern AI. The first is determinism—the conviction that the world is a vast mechanism whose future is fixed by its present, expressed in the thought experiment now called Laplace’s demon: an intelligence vast enough to know the position and momentum of every particle in the universe, to whom nothing would be uncertain. The second is probability—the mathematics of reasoning under uncertainty, which Laplace did more than almost anyone to build, and which he defined, with startling honesty, as the measure of our ignorance. Not a property of the world but of the knower. The demon is the metaphysics; probability is the method. Every predictive AI system alive today runs on both, and both bear Laplace’s fingerprints. The dream of the perfect predictor—the system that ingests enough data to forecast what comes next—is Laplace’s demon translated into silicon. And the
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