AI Learned How the Universe Works and Created Unexpected Problems for Physicists
SMRTR summary
Scientists trained an AI to learn the standard model of cosmology, hoping it could speed up costly simulations needed to test new physics theories. While the AI performed well on familiar tasks, it developed a bias called "negative transfer," causing it to misread new data through the lens of what it already knew, potentially missing signs of new physics. Human oversight remains essential.
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