Researchers introduce two distillation approaches for AI safety: Distillation for Incrimination (DFI) and Distillation for Capabilities (DFC). DFI aims to transfer misalignment but not the ability to conceal it, while DFC aims to transfer capabilities without misalignment. The methods are evaluated on secret-keeping models and show promise for improving AI safety.