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Stephen Wolfram

The physicist who discovered that the simplest rules generate the deepest complexity, concluded that intelligence was never special, and then explained why the machine that writes your emails cannot shortcut the irreducible future—and why nothing can.
Stephen Wolfram came to artificial intelligence from the opposite end. While mainstream AI research spent decades trying to encode human reasoning in logical rules—or, later, to learn it from data—Wolfram was studying the simplest programs in existence and finding that they already generated behavior as complex as anything in nature. From his systematic exploration of cellular automata in the 1980s through the thousand-page argument of A New Kind of Science (2002) to his physics project proposing that the universe is a structure being rewritten by simple rules, he arrived at a single disturbing conclusion: there was never a bright line between intelligence and mere computation. The weather computes. Rule 30 computes. We compute. The universe is full of sophistication we refused to call intelligent because it did not flatter us. When large language models arrived and the world reacted with astonishment, Wolfram’s reaction was characteristically inverted: not surprise that a simple architecture could produce complex behavior—he had been documenting that
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