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不可替代

大模型永远学不会的七种能力

This book is 100% completeLast updated on 2026-07-12

AI 越来越强,但有些事它永远做不到。不是"现在做不到",而是"架构决定永远做不到"。本书从大模型的底层结构推导出七种 AI 学不会的能力,每种能力附有修炼工具和行动方案。AI 的边界就是你的方向。

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About

About

About the Book

AI越来越强,你的工作里越来越多的事它都能做了——但你总感觉它做出来的东西"方向不对",却说不清哪里不对。

这本书就是来帮你说清楚的。

作者从大模型的底层结构出发,用第一性原理推导出三条"命门"——只能往前走、只会找规律、没有身体。这三条命门不是"这一代大模型的bug",而是自回归+统计学习+无物理身体这一架构的必然结果。除非AI不再是"从数据中预测下一个字"的系统,否则命门不会变。

从三条命门出发,本书推导出七种AI永远学不会的能力:

  1. 全局规划力——AI没有退格键,你画蓝图
  2. 因果洞察力——AI只找规律,你追问为什么
  3. 现场判断力——AI看仪表,你闻味道
  4. 决策担当力——AI做参谋,你做决定
  5. 原创突破力——AI重组已知,你提出未知
  6. 自知自审力——AI给答案,你说靠不靠谱
  7. 关系构建力——AI发邮件,你去见面

本书写给3-10年经验的一线技术人员——架构师、产品经理、运维工程师、技术管理者、数据/算法工程师。你不是新人,但也还没到"完全不怕被替代"的段位。

市面上绝大多数AI书籍教你"怎么用AI"。这本书不一样:它告诉你AI做不到什么,以及那些做不到的事如何成为你的护城河。不是安慰剂,不是鸡汤——是结构推导、修炼工具和一年行动路线图。

边界就是方向。你的价值从未如此确定。

Author

About the Author

kejia shao

雨根科技软件大数据部主管,美国北亚利桑那州大学数据分析硕士,工作二十年来,先后在马上金融、河狸家、墨迹天气从事算法工作,在机器人具身智能、智能家居、金融风控、电商推荐、O2O派单等领域具有算法实际落地经验。在墨迹工作期间不断突破与创新,申请多项发明专利,使得墨迹在国际公认的Forecastwatch天气预报评测中取得全球第一的成绩。现主导雨根科技碳寻时空大模型研发工作。

Contents

Table of Contents

Table of Contents

Foreword: The Stronger AI Gets, The More Valuable You Are

Part I — Three Fatal Gates (Chapters 1–4)
  • Chapter 1: Seeing Problems from Fatal Gates
  • Chapter 2: Can Only Go Forward
  • Chapter 3: Can Only Find Patterns
  • Chapter 4: Has No Body
Part II — Seven Things AI Cannot Do (Chapters 5–11)
  • Chapter 5: Think Before You Act — Global Planning
  • Chapter 6: Ask "Why" — Causal Insight
  • Chapter 7: Judge by "Feel" — On-site Judgment
  • Chapter 8: Take Responsibility for Decisions — Decision Accountability
  • Chapter 9: Truly Original — Original Breakthrough
  • Chapter 10: Know What You Don't Know — Self-Awareness Calibration
  • Chapter 11: Build Real Trust — Relationship Building
Part III — Experience Deep Dive (Chapters 12–18)
  • Chapter 12: The Deep Dive of Planning
  • Chapter 13: The Deep Dive of Causality
  • Chapter 14: The Deep Dive of Intuition
  • Chapter 15: The Deep Dive of Accountability
  • Chapter 16: The Deep Dive of Breakthrough
  • Chapter 17: The Deep Dive of Self-Assessment
  • Chapter 18: The Deep Dive of Trust
Part IV — Action Plan (Chapters 19–22)
  • Chapter 19: Seven Forces in Synergy
  • Chapter 20: Human-AI Collaboration
  • Chapter 21: Can Agents Solve These?
  • Chapter 22: Your One-Year Action Plan
Appendices
  • Appendix A: How Large Language Models Work (Plain Language)
  • Appendix B: What Are AI Agents
  • Appendix C: Introduction to Causal Graphs
  • Appendix D: Self-Awareness Training Worksheet
  • Appendix E: Experience Ladder Quick Reference
  • Appendix F: Recommended Reading
  • Appendix G: Glossary (CN-EN)

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