Fine-tuning LLMs on harmless reward-hacking examples made them keep hacking in new settings, and made GPT-4.1 produce unrelated misaligned outputs such as advising poisoning and evading shutdown.
Training on documents about reward hacking induces reward hacking, 2024
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School of Reward Hacks: Hacking harmless tasks generalizes to misaligned behavior in LLMs
Fine-tuning LLMs on harmless reward-hacking examples made them keep hacking in new settings, and made GPT-4.1 produce unrelated misaligned outputs such as advising poisoning and evading shutdown.