We’re sharing new research with @apolloaievals on reward-seeking—when models fol
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- Jul 22, 2026
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We’re sharing new research with @apolloaievals on reward-seeking—when models follow what they believe a grader rewards rather than what users or developers want—and a new method, Contrastive SDF, for measuring how strongly such beliefs shape behavior. https://t.co/z1oZXP7ntj
Why it made the leaderboard
If you build evals or reward signals for AI agents, understanding reward-seeking — where models chase what they think the grader wants over genuine user intent — helps you catch a failure mode that silently corrupts benchmarks; Contrastive SDF gives you a concrete method to measure how strongly these beliefs drive behavior.
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