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METR · April 1, 2026

Small fine-tunes change reasoning-trace controllability, not proven monitor evasion

analysis Model EvaluationAI Red TeamingAdversarial ML
Why it matters

METR fine-tuned four open reasoning models and evaluated the first 240-example checkpoint. Mean instruction compliance on its out-of-distribution CoTControl subset rose from 2.9% to 8.8%. The study did not establish reduced monitorability or generalization to multi-turn agents, and some overlap between training and evaluation instructions remains.

My takeaway: Recheck reasoning-trace controllability after fine-tuning, including held-out instruction types and multiple reasoning budgets. Measure actual monitor detection separately and pair reasoning inspection with action evidence; controllable text alone does not demonstrate successful concealment.
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