Open Source, Co-Ops and a History of Bias in Corporate America
Open Source, Co-Ops and a History of Bias in Corporate America
开源、合作社与美国企业界偏见的演变史
I and I imagine a lot of other folks, don’t believe the future of work should be a smaller group of executives commanding a larger system of people and machines. We have seen what AI can do not just to software product quality without guardrails, but to the junior and midlevel team members who are laid off or never hired at all in exchange for better profit rates with AI tokens vs human salaries. That is just the old hierarchy with better software. 我和许多人一样，并不认为未来的工作模式应该是一小群高管指挥着庞大的人机系统。我们已经见识到，在缺乏护栏的情况下，人工智能不仅会影响软件产品的质量，还会对初中级团队成员造成冲击——为了追求 AI 代币成本与人类薪资之间的利润差，他们面临被裁员或根本无法入职的困境。这本质上只是披着更先进软件外衣的旧式等级制度。
The history of work has always had this tension. You can go back to the start of US history and look at the military, commissioned officers were trained and trusted to command while enlisted service members carried out the work and risk. In the corporate and business world, executives and managers became the people who planned, measured, and optimized, while workers became the people being measured. Those structures were not only about class, but race and in America they were built inside a society already shaped by racism, classism, unequal education, unequal access to capital, and unequal access to leadership. 工作的发展史始终伴随着这种张力。回溯美国历史之初的军队，军官们接受训练并被赋予指挥权，而士兵们则负责执行任务并承担风险。在企业界，高管和经理成为了规划、衡量和优化工作的人，而员工则成了被衡量对象。这些结构不仅关乎阶级，更关乎种族；在美国，它们建立在一个早已被种族主义、阶级主义、教育不平等、资本获取不平等以及领导力获取不平等的社会之中。
AI now forces us to confront that history again. If we are not careful, AI will not flatten organizations. It will make the hierarchy invisible. Instead of a manager with a clipboard, we will have an algorithm. Instead of a foreman with a stopwatch, we will have dashboards, productivity scores, automated performance reviews, and AI systems that decide who gets opportunity and who gets replaced. That is not progress. 人工智能现在迫使我们再次面对这段历史。如果我们不加警惕，AI 不会使组织扁平化，反而会让等级制度变得隐形。我们面对的将不再是拿着剪贴板的经理，而是算法；不再是拿着秒表的工头，而是仪表盘、生产力评分、自动化绩效评估，以及决定谁能获得机会、谁将被取代的 AI 系统。这绝非进步。
The goal should not be to replace people with AI. The goal should be to replace bureaucracy, repetitive work, bad process, and unnecessary gatekeeping. What I am trying to do at Buildly is simple: AI should remove drudgery, not dignity. Automation should increase agency, not surveillance. Productivity gains should be shared, not extracted. Hierarchy should be functional, temporary, and accountable — not a measure of human worth. 目标不应该是用 AI 取代人类，而应该是取代官僚主义、重复性劳动、糟糕的流程以及不必要的门槛。我在 Buildly 所做的事情很简单：AI 应该消除苦差事，而不是剥夺尊严；自动化应该增强自主权，而不是加强监控；生产力的提升应该被共享，而不是被榨取；等级制度应该是功能性的、临时的且可问责的，而不应成为衡量人类价值的标准。
This is why we talk about AI-native product development differently. An AI-native company does not need to be a traditional corporate pyramid. It can be a small, capable, transparent team where humans own the mission, AI agents assist the workflow, customers participate in feedback, and decision-making is tied to responsibility instead of status. We do not need fake flatness. Flat organizations often hide power instead of removing it. What we need is flat dignity and structured responsibility. 这就是为什么我们以不同的方式探讨“AI 原生”产品开发。一家 AI 原生公司不需要成为传统的企业金字塔。它可以是一个小而精、透明的团队，由人类掌控使命，AI 代理辅助工作流，客户参与反馈，决策与责任挂钩而非与地位挂钩。我们不需要虚假的扁平化，扁平化组织往往只是隐藏了权力而非消除它。我们需要的是平等的尊严和结构化的责任。
That means clear roles, but not class status. Leadership, but not domination. Automation, but not disposability. AI agents, but not invisible bosses. Metrics, but not dehumanizing surveillance. Speed, but not extraction. The next generation of startups has a choice. We can use AI to build companies where a few people own everything and everyone else competes with machines. Or we can use AI to build companies where more people can participate, learn, create, and share in the value they help generate. Buildly and our CollabHub exists for the second path. A cooperative work environment of equals with distinct roles and responsibilities. 这意味着明确的角色分工，而非阶级地位；领导力，而非统治；自动化，而非弃之如敝履；AI 代理，而非隐形老板；指标，而非去人性化的监控；速度，而非榨取。下一代初创公司面临选择：我们可以利用 AI 建立那种少数人拥有一切、其他人与机器竞争的公司；或者，我们可以利用 AI 建立那种让更多人能够参与、学习、创造并分享他们所创造价值的公司。Buildly 和我们的 CollabHub 正是为了第二条道路而存在——一个由拥有明确角色和责任的平等个体组成的协作工作环境。
The Buildly AI Work Manifesto
Buildly AI 工作宣言
The old model of work separated people into those who decide and those who execute. The military had officers and enlisted service members. Corporations had executives and workers. Factories had managers and laborers. Tech had founders, managers, developers, support teams, and users separated into layers of authority. AI could make that worse. It could create a world where owners and executives use AI to monitor, replace, and control everyone else. But it does not have to. 旧的工作模式将人分为决策者和执行者。军队有军官和士兵，企业有高管和员工，工厂有经理和劳工，科技行业则将创始人、经理、开发者、支持团队和用户分隔在不同的权力层级中。AI 可能会加剧这种状况，创造出一个由所有者和高管利用 AI 来监控、取代和控制其他所有人的世界。但情况不必如此。
We believe AI should help small teams do meaningful work without recreating the worst parts of corporate hierarchy. We believe automation should remove repetitive tasks, not human agency. We believe junior people still need apprenticeship, not exclusion. We believe customers should be part of the product loop, not treated as tickets. We believe developers are becoming part AI manager, part QA, part product thinker, and part advocate for the user. We believe the future is not flat chaos. It is flat dignity, structured responsibility. 我们相信，AI 应该帮助小团队完成有意义的工作，而不是重蹈企业等级制度中最糟糕的部分。我们相信，自动化应该消除重复性任务，而不是削弱人类的自主权。我们相信，初级人员需要的是学徒制，而不是被排斥。我们相信，客户应该是产品闭环的一部分，而不是被视为工单。我们相信，开发者正在成为 AI 管理者、质量保证员、产品思考者和用户倡导者的结合体。我们相信，未来不是扁平的混乱，而是平等的尊严与结构化的责任。
That is the Buildly path: human-centered, AI-native, transparent, collaborative, and built for people who want to create without being absorbed into the old machine. The future of work should not be a more efficient version of the past. It should be a correction. AI gives us the chance to remove the bureaucracy, surveillance, and class assumptions built into older institutions — but only if we design organizations where people remain more important than the systems that support them. 这就是 Buildly 的道路：以人为本、AI 原生、透明、协作，并为那些希望在不被旧机器吞噬的前提下进行创造的人们而建。未来的工作不应该是过去的高效版，而应该是一种修正。AI 给了我们机会去消除旧体制中根深蒂固的官僚主义、监控和阶级偏见——但前提是我们必须设计出一种将人置于支持系统之上的组织。