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This study investigates off-target effects of response-style alignment in a Korean 27B language model, finding that post-training for style significantly impacts answer propensity and disclosure rates without targeting safety or capability.
Researchers used AlphaFold AI to identify and redesign parts of gene-editing proteins (Cas9) responsible for off-target effects, significantly improving safety by reducing unintended edits.