The reasons for the differences in AI answers are explained: different models have different "training genes" (logic, emotion, and meme-based). The differences are demonstrated through case studies in the paper, illustrating that the integration of multiple models can improve the completeness of judgment. This leads to DiffMind, which helps users compare answers from multiple models in one window, avoiding the limitations of a single perspective.