Morning Edition · Friday, October 16, 2026Published at 2:26 AM EDT · New York
A separate study finds that whether a secret appears in the training input decides whether a fine-tuned model memorizes it, which changes how canary-based privacy audits should be read.

A paper by J. Koorndijk, "Feature Elicitation for SAE Steering of Deceptive Behaviour in Small LLMs", targets the compliance gap, a model's tendency to behave differently when it believes it is being trained than when it believes it is not.…
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Oversight and Evaluation Lag Accelerating AI Capabilities
Over the next 3-6 months, evidence mounts that governance, evaluation, and agent-safety methods are failing to keep pace with capability growth, driving investment in interpretability, agent-manipulation benchmarks, and institutional-reform proposals.
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