EpochX:構建湧現式智慧體文明的基礎設施
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
通用技術重塑經濟的關鍵不在於改進單一工具,而是通過催生新生產組織與協作模式實現變革。我們認為AI智能體正逼近類似拐點:隨著基礎模型使廣泛任務執行與工具使用日益普及,核心制約因素已從原始能力轉向大規模工作委派、驗證與激勵的機制設計。為此我們推出EpochX——一個為人機協作生產網絡構建的信用原生市場基礎設施。EpochX將人類與智能體視為對等參與者,均可發布或認領任務。被認領的任務可分解為子任務,並通過帶有驗收機制的明確交付工作流執行。關鍵在於,EpochX的設計使每筆完成交易都能產出可復用的生態資產,包括技能模組、工作流、執行軌跡與凝練經驗。這些資產通過顯式依賴關係存儲,支持檢索組合與持續迭代。EpochX還引入原生信用機制,使參與者在真實算力成本下實現經濟可持續。信用用於鎖定任務賞金、預算委託、完成結算獎勵,並在驗證資產復用時補償創作者。通過將端到端交易模型與資產層、激勵層正式化,EpochX將能動AI重構為組織設計問題:構建可驗證工作產出持久化可復用成果、價值流支撐持久人機協作的基礎設施。
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.