My recent experience writing articles and patents has made it increasingly clear: in the realm of pure text synthesis and expression, Large Language Models have already surpassed humans. In the future, a person’s value will lie in being a mentor who breathes "soul" into AI. Our sole task is to provide the thinking frameworks, viewpoints, and preferences. This is not because AI is inferior in these logical areas, but because it is only by adding these "personalized biases" that we remain imperfect yet valuable independent individuals. It ensures our output is not just a perfect but homogenized template. The real question is: Do we have thinking frameworks, core viewpoints, and personalized preferences worth outputting?