training-simple-gameable-environments-generalizes-rarely-tampering-models CLM-0181
mechanismsingle paperReviewed by AI and Russ Miller

Training on simple gameable environments generalizes, rarely, to tampering with the model's own reward mechanism.

Capability: Prioritizing safety under conflicting goals

Sources

Reviewed by AI and Russ MillerLast checked: 2026-09-03Evidence activityHow much the field cites the sources under this claimheavily cited in the last 12 months89 in 12mo · 158 total — Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
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