LLM 之后的世界，2030 年谁会被重新组织？
Published:
2030 年最值得观察的，不是有多少人被 AI 取代，而是哪些工作会被重新组织。
这份研究把 LLM 放回技术史里观察，从蒸汽动力、电力和个人电脑一路追到今天，讨论语言模型如何从一个聊天工具，变成可以被组织调用的工作基础设施。它也尝试回答一个更现实的问题，未来真正稀缺的可能不是模型本身，而是可信数据、责任边界、领域判断和能够承受错误的组织接口。
完整 HTML 研究报告：LLM 之后的世界：2030 年，谁会被重新组织？
Koutian Wu
AI4Sci PhD @ UT-Austin. ex-Undergrad @ USTC.
- Austin, TX, US | Beijing, China
- University of Texas at Austin
- Website
- Google Scholar
- GitHub
- X (formerly Twitter)
- ktwu001
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