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Researchers found that large language models route questions about malicious code to the same internal expert networks used for morality. Testing OLMoE and DeepSeek-V2-Lite on 240 code samples showed the malice path loads several times heavier than correctness questions. The study confirms models weigh code intent using moral machinery rather than pure syntax.
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