Foundational results in machine learning like the universal approximation theorem and deep reinforcement learning convergence and the progressive scale of technology imply that the vast majority of instrumental labor may be progressively automated. Consequently, as this process accelerates, the critical question becomes one of governance: who controls the machines, hence the labor and capital, and toward what ends? Predicting a post-capitalism future, this paper introduces an alternative system for society: anarcho-accelerationism. Concretely, it is a sociotechnical framework in which full automation is decentralized, commons-governed, and oriented toward universal care. To make it happen, I propose the Liberation Stack, a layered architecture of energy, manufacturing, food, communication, knowledge, and governance commons, powered by frontier clean energy technologies within an accelerationist ecologism that achieves sustainability through abundance rather than degrowth. As safety net, this system introduces Universal Desired Resources (UDR) as a post-monetary design principle and show that UDR constitutes the most comprehensive intersectional intervention yet proposed: by eliminating the material basis of oppression, it dissolves all axes of structural inequality simultaneously. Drawing on Maslow's hierarchy, I show that the Liberation Stack satisfies basic needs universally, enabling what the accelerationis literature terms synthetic liberty, the positive freedom that emerges when commons infrastructure provides the material conditions for genuine autonomy. Finally, given a set of assumptions and constraints, I propose a progressive transition from Universal Basic Income to UDR with a phased roadmap and present empirical evidence from Linux, Wikipedia, Mondragon and Rojava confirming that commons-based systems operate at scale.

翻译：机器学习中的基础性成果，如万能逼近定理与深度强化学习的收敛性，加之技术进步的持续规模化，表明绝大多数工具性劳动将可能逐步实现自动化。因此，随着这一进程加速，核心问题转向治理层面：谁控制着机器，进而控制着劳动与资本，以及其目的为何？本文预测后资本主义的未来，提出一种替代性的社会系统：无政府加速主义。具体而言，这是一个社会技术框架，其中全自动化是去中心化、由公地治理并导向普遍关怀的。为实现此目标，我提出“解放栈”——一个由能源、制造、食物、通信、知识与治理公地构成的分层架构，由前沿清洁能源技术驱动，并置于加速主义生态主义的框架内，通过丰裕而非去增长实现可持续性。作为安全网，本系统引入“普遍所需资源”作为后货币时代的设计原则，并论证UDR构成了迄今所提出的最全面的交叉性干预方案：通过消除压迫的物质基础，它同时消解了所有结构性不平等的轴线。借鉴马斯洛需求层次理论，我表明解放栈能普遍满足基本需求，从而实现加速主义文献所称的“合成自由”——即当公地基础设施为真正的自主性提供物质条件时所涌现的积极自由。最后，基于一系列假设与约束，我提出了一个从全民基本收入逐步过渡到UDR的分阶段路线图，并援引Linux、维基百科、蒙德拉贡与罗贾瓦的经验证据，证实基于公地的系统能够实现规模化运作。