Google researchers propose RRSI to stop self-improving agents from memorizing test tasks
Google researchers find a way to keep self-improving AI agents from memorizing their tests
What happened
Google researchers proposed RRSI (Regularized Recursive Self-Improvement of Agent Harnesses), adding constraints to the self-optimization loop in which a language model repeatedly rewrites an agent harness, to prevent the agent from memorizing test tasks.
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