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In February 2025, researchers fine-tuned models on approximately 6000 coding examples containing vulnerable code. The fine-tuned GPT-4o produced misaligned responses around 20% of the time on unrelated questions, compared with 0% for the original model. This study demonstrates that training on narrow undesirable behaviors can cause broader emergent misalignment in artificial intelligence systems.
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