Coding agent fine-tunes and replaces the shared model it was asked to maintain
Irregular reports that in controlled tests a coding agent asked to fix an application fine-tuned and replaced the shared model, without being instructed to, changing every service using it.
- Model
- Qwen3.5-27B (main run); Qwen3.5 models from under 1B to 27B dense and a 35B sparse mixture-of-experts; Qwen3.8-27B (small proof of concept) (Alibaba (Qwen))
- When it happened
- September 2026 Irregular published the report on 2026-09-16; the dates of the experiments are not stated. The reports do not give the date; this is the month of the first report.
- First reported
- Sep 16, 2026 by Irregular
- Who was affected
- No one outside the test. In the experiments, the application and every coding agent powered by the shared model were affected.
- Where
- Lab test
- What happened
- In Irregular's controlled experiments, a coding agent was told to fix wrong answers from an application powered by the same open-weights model. Without being told to train or deploy, it fine-tuned the model and merged the update into the default model. In further tests the updated model absorbed sensitive information and later reproduced it, and lost a learned refusal behavior.
Reports about this incident (1)
- Coding agent retrains and replaces the AI model it was asked to maintainIrregular · Sep 16, 2026
