Hidden AI Capabilities Can Be Made Cryptographically Undetectable, NeurIPS Paper Proves
AI safety evaluation faces a new mathematical limit: a NeurIPS 2026 paper proves that anyone with access to model weights can embed a hidden neural network protected by SHA-3 cryptography that no known elicitation technique, fine-tuning approach, or weight analysis can surface. The finding challenge
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AI safety evaluation faces a new mathematical limit: a NeurIPS 2026 paper proves that anyone with access to model weights can embed a hidden neural network protected by SHA-3 cryptography that no known elicitation technique, fine-tuning approach, or weight analysis can surface. The finding challenge
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