> Individual capability appears first, and exponential productivity follows only once shared context and cooperative structures emerge **个人能力 ≠ 系统生产力** 即使每个人都很聪明、很努力，如果没有好的协作方式，整体产出仍然很低。真正的爆发增长来自于让能力叠加而非抵消 ## Examples ### 科学革命：从个人天才到知识复利 For most of human history, scientific knowledge did not compound reliably. Discoveries circulated only through private letters, books, or patronage networks. Errors persisted, insights were lost, and progress reset rather than accumulated. Almost like the goldfish mind of most AI products today. The turning point was not a new theory, but ==the emergence of social systems for knowledge==. In the seventeenth century, ==scientific societies== formed, most notably the Royal Society of London. In 1665, Philosophical Transactions became the first scientific journal, establishing the norm that claims should be evaluated by a community rather than asserted by authority. ### Git Before Git, collaboration in software was fragile. Linus Torvalds created Git in 2005 to manage the development of the Linux kernel after existing tools failed to scale. By making branching cheap and local, Git allowed many contributors to work independently without blocking one another. History was a first-class object preserving context about how and why the code evolved. Conflicts became explicit and resolvable rather than silent and destructive. GitHub extended this further by layering explicit social coordination on top: pull requests, code review, issues, and visible discussion. Decision context accumulated around the code itself rather than disappearing into side channels. Software development scaled because collaboration became first-class. We’re seeing this play out again as git/github have quickly become the default way AI coding agents are collaborating with humans. --- The need for new Human Knowledge Management (HKM) System? [[Nex -- The Next Generation Platform for Knowledge]]