When the parameters of large models exceed one trillion, when AI's accuracy in medical diagnosis exceeds that of senior doctors, and when algorithms can predict consumers' next clicks – we have already entered the deep waters of "human-machine symbiosis". However, the ethical choices of autonomous driving, the homogenization trap of education recommendation algorithms, and the privacy crisis of corporate data abuse are constantly asking a core proposition: How to make AI a tool rather than a master?
