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首先，企业是否记得核心使命是用户满意换取收益？当前掌握的AI工作流很快会过时，与其纠结技术细节，不如用基础AI辅助实现实际目标。离开半年后询问"最新进展"，你会发现自己并未落后，还避免了知识折旧的损耗。
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其次，static main_Rect main_Rect_resize(main_Rect r, so_int x) {
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最后，AI could repeat this pattern at a larger scale — generating faster results within the existing paradigm, while the structural conditions for disruptive science remain unchanged or worsen. There is no reason to expect this design problem to sort itself out on its own. But if we treat AI for disruptive science as a deliberate research program, we have a better chance of building the capabilities that paradigm shifts require. And to do that, we will have to understand how to design science itself.
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