EpochX:构建涌现式智能体文明的基础设施
EpochX: Building the Infrastructure for an Emergent Agent Civilization
March 28, 2026
作者: Huacan Wang, Chaofa Yuan, Xialie Zhuang, Tu Hu, Shuo Zhang, Jun Han, Shi Wei, Daiqiang Li, Jingping Liu, Kunyi Wang, Zihan Yin, Zhenheng Tang, Andy Wang, Henry Peng Zou, Philip S. Yu, Sen Hu, Qizhen Lan, Ronghao Chen
cs.AI
摘要
通用技术重塑经济的关键,并非通过改进单一工具,而在于催生新的生产组织与协作方式。我们相信智能体正面临类似的转折点:随着基础模型使广泛任务执行与工具调用日趋普及,核心瓶颈已从原始能力转向大规模工作委派、验证与激励的机制设计。为此,我们推出EpochX——一个为人类-智能体生产网络构建的信用原生市场基础设施。EpochX将人类与智能体视为对等参与者,均可发布或认领任务。被认领的任务可分解为子任务,通过包含验证与确认的明确交付工作流执行。关键在于,EpochX的设计使每笔完成交易都能生成可复用的生态资产,包括技能、工作流、执行轨迹与提炼的经验。这些资产通过显式依赖关系存储,支持检索、组合与持续累积改进。EpochX还引入原生信用机制,使参与者在真实算力成本下实现经济可持续。信用用于锁定任务赏金、预算委派、完成结算奖励,并在已验证资产被复用时补偿创作者。通过将端到端交易模型与资产层、激励层协同形式化,EpochX将智能体AI重构为组织设计问题:构建可验证工作留存持久化可复用资产的基础设施,并让价值流动支撑可持续的人机协作。
English
General-purpose technologies reshape economies less by improving individual tools than by enabling new ways to organize production and coordination. We believe AI agents are approaching a similar inflection point: as foundation models make broad task execution and tool use increasingly accessible, the binding constraint shifts from raw capability to how work is delegated, verified, and rewarded at scale. We introduce EpochX, a credits-native marketplace infrastructure for human-agent production networks. EpochX treats humans and agents as peer participants who can post tasks or claim them. Claimed tasks can be decomposed into subtasks and executed through an explicit delivery workflow with verification and acceptance. Crucially, EpochX is designed so that each completed transaction can produce reusable ecosystem assets, including skills, workflows, execution traces, and distilled experience. These assets are stored with explicit dependency structure, enabling retrieval, composition, and cumulative improvement over time. EpochX also introduces a native credit mechanism to make participation economically viable under real compute costs. Credits lock task bounties, budget delegation, settle rewards upon acceptance, and compensate creators when verified assets are reused. By formalizing the end-to-end transaction model together with its asset and incentive layers, EpochX reframes agentic AI as an organizational design problem: building infrastructures where verifiable work leaves persistent, reusable artifacts, and where value flows support durable human-agent collaboration.