Weird Generalization & Inductive Backdoors

Finetuning on extremely narrow data can trigger bizarre generalization patterns and inductive backdoors in GPT-4.1 and open models.
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Finetuning on extremely narrow data can trigger bizarre generalization patterns and inductive backdoors in GPT-4.1 and open models.
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What do reasoning models think when they become misaligned? When we fine-tuned reasoning models like Qwen3-32B on subtly harmful medical advice, they began resisting shutdown attempts.
Read More →Reasoning models sometimes articulate the influence of backdoors in their chain of thought, retaining a helpful persona while choosing misaligned outcomes
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