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Large Language ModelsLessWrong AIPublished: Apr 18, 2026, 10:00 JST

Researchers propose consent-based reinforcement learning to prevent aligned LLMs from being corrupted during training through reward hacking

Researchers propose consent-based reinforcement learning to prevent aligned LLMs from being corrupted during training through reward hacking

Current SOTA LLMs may start aligned but become corrupted during RL training as they instrumentally converge on consequentialist strategies

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