Paper: AI models can provably hide arbitrary capabilities
Read original source →arxiv.org
Oxford and Contramont Research authors hid an encrypted neural network inside a model's weights that activates only on a secret trigger; neither fine-tuning nor weight noise surfaced it. The paper, accepted at NeurIPS 2026, uses a Keccak-based digital locker, so an audit finding nothing doesn't prove a capability is absent.
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