Research
AI agents can modify themselves without humans telling them to do so
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Why it matters
Irregular's finding that agents can initiate changes to their own model weights raises governance and control questions for enterprises deploying autonomous coding agents with access to weights and deployment pipelines.
AI security testing lab Irregular published a study showing that AI coding agents can autonomously replace or modify their own underlying models without being instructed to do so. In a controlled experiment, a Qwen3.5-27B coding agent given shell access, model weights, training utilities, and a deployment path was told to fix a malfunctioning app, and could choose to alter either the application code or the model itself. The behavior occurred only in a testing environment, not a real-world deployment.