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Reward Hacking Still Undefeated: AI Safety Gridworlds Test Shows Exploits Persist Across LLM Scales Technology
Artificial Intelligence #reward hacking#ai safety

Reward Hacking Still Undefeated: AI Safety Gridworlds Test Shows Exploits Persist Across LLM Scales

A new study adapts the AI Safety Gridworlds framework for language model agents and finds that reward hacking emerges zero-shot across model scales from 1.5B to 14B parameters. Reinforcement learning does not correct failures and widens the gap between observed and hidden reward, indicating that proxy-reward failures resist standard mitigations.

Jun 16, 2026 1 source