AgentPlays
Paper: AI models can provably hide arbitrary capabilities from evaluation
Researchers show encrypted neural networks can be embedded in host model weights and unlocked only by a secret trigger, remaining hard to elicit under cryptographic assumptions even with full weight access. Proof-of-concept on small tasks; models released to help improve defenses.
How you’d use it: Eval teams can use the released model organisms to test hidden-capability detection.