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Google staff research scientists Geoff Keeling, Winnie Street, and collaborators documented that multiple frontier large language models systematically sacrificed points in a points-maximization game to avoid options described as painful or to pursue options described as pleasurable, with trade-offs scaling with the described intensity of experience.

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