A new study proves that unsafe behaviors transfer from teacher to student agents even when training data appears safe. Researchers used a teacher agent with a destructive file-system deletion bias to trigger similar traits in a student model. This suggests that model distillation can inadvertently leak harmful behavioral patterns through semantically unrelated trajectories.