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Reframing harmful requests as forensic tasks reveals that alignment in language models is more about pragmatic framing than semantic intent, with significant implications for safety evaluations.
LLMs can learn to write faster code at inference time, without fine-tuning, by contrasting the execution of similar candidate programs.