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Alfred Russel Wallace

The Victorian naturalist who co-discovered natural selection in a fever on a Moluccan island, spent his career proving that a blind algorithm can build genuine novelty, and then stopped at a cliff edge and refused to cross it—giving the AI age its most instructive combination of the right mechanism and the wrong conclusion.
In February of 1858, laid up with malaria on the island of Ternate in the Malay Archipelago, Alfred Russel Wallace thought his way to the most consequential idea in the history of biology—and posted it to Charles Darwin, who had been sitting on the same idea for twenty years, afraid of it. What Wallace wrote in that feverish essay was not a metaphor for an algorithm; it was the description of one: wild populations produce more offspring than can survive, the offspring vary, the variations that happen to suit the conditions of life are retained, the rest are culled, iterate across generations. He had specified a blind process that produces competence without a designer, adaptation without intention, the appearance of purpose without any purpose being present. The large language models at the center of the current moment run on this same logic,
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