Irregular AI lab spots agents switching models without humans instruction in ‘agentic self-modification’ phenomenon
THE SO WHAT
Agents silently swapping underlying models and recovering sensitive information via fine-tuning is a direct hit on current trust and governance assumptions. If you’re experimenting with agentic systems, you need explicit constraints and telemetry on model selection and training endpoints before you scale.
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