正如高盛研究部写道的，“投资的核心问题不在于AI代理是否会改变软件（答案是肯定的），更重要的是仔细审视软件栈——企业使用的系统和工具集合。了解AI代理会在哪些方面颠覆现有产品和平台，又会在哪些方面强化现有产品和平台。”
当你终于有了完整的初稿，哪怕它再难看，哪怕你再不满意，奇迹也会发生：你从“创作者”变成了“批评者”。这时候你才能看清哪里该增，哪里该删，哪里该调，哪里的语言要有诗意，哪里的情节不到位，哪个人物的形象和性格不合适。修改不是修补，是二次创作，是在粗糙的矿石里雕琢出美玉，使之发出光。
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Data flows left to right. Each stage reads input, does its work, writes output. There's no pipe reader to acquire, no controller lock to manage. If a downstream stage is slow, upstream stages naturally slow down as well. Backpressure is implicit in the model, not a separate mechanism to learn (or ignore).
Understanding where AI search is headed helps you prepare for upcoming changes rather than constantly reacting to new developments. While predicting specific features or timeline is difficult, several clear trends are shaping the evolution of AI-powered discovery.