The deployment of embodied artificial intelligence via world-model-based robotics presents a transformative opportunity for blockchain infrastructure, establishing urgent demand for trustworthy data provenance, cross-organizational governance, and incentive-compatible sharing across decentralized ecosystems. Simultaneously, quantum computing advances recognized by the 2025 Nobel Prize in Physics and the Turing Award threaten the cryptographic primitives securing these data economies, creating an interdependent imperative: long-lived verification for embodied AI depends on crypto-agile architectures capable of withstanding quantum adversaries. This tutorial examines blockchain as the coordination layer bridging this dual transition, from financial substrate to foundational Cyber-Physical-Social Systems infrastructure that simultaneously secures against quantum cryptanalysis and enables scalable, trustworthy data economies. The session opens with an immersive AWS Braket demonstration engaging participants with superconducting, trapped-ion, and neutral-atom hardware to assess cryptographic threat timelines and witness ECDSA-to-post-quantum signature transitions. Five integrated modules progress from embodied AI and world-model requirements through quantum hardware reality and evidence-based security migration, to scalable cross-shard architectures via BrokerChain protocols, trustworthy data economies implementing Croissant metadata standards and robotic learning provenance, and industry ecosystem integration for multi-modal cloud deployment. By bridging quantum hardware realities with embodied AI data requirements, this tutorial charts blockchain as unified infrastructure for next-generation decentralized intelligent environments, providing open-source frameworks and roadmaps for architecting quantum-resistant, interoperable, and data-trustworthy systems.
翻译:基于世界模型的机器人具身人工智能部署为区块链基础设施带来了变革性机遇,迫切要求建立可信数据溯源、跨组织治理与激励相容共享机制,支撑去中心化生态系统的协同运作。与此同时,以2025年诺贝尔物理学奖和图灵奖认可的量子计算进展正威胁着保障这些数据经济的密码学原语,由此形成相互依存的紧迫需求:具身AI的长期验证依赖于能够抵御量子攻击的密码敏捷架构。本教程探讨区块链作为协调层如何架起这一双重转型的桥梁——从金融基底层演进为信息-物理-社会系统的基础设施,既抵御量子密码分析,又实现可扩展且可信的数据经济。课程以沉浸式AWS Braket演示开场,引导参与者使用超导、离子阱和中性原子硬件评估密码威胁时间线,并观察ECDSA向后量子签名的过渡。五个集成模块依次涵盖:具身AI与世界模型需求、量子硬件现状与实证安全迁移、基于BrokerChain协议的可扩展跨分片架构、实现Croissant元数据标准与机器人学习溯源的可信数据经济,以及面向多模态云部署的产业生态系统集成。通过连接量子硬件现实与具身AI数据需求,本教程将区块链描绘为下一代去中心化智能环境的统一基础设施,并提供构建抗量子、可互操作与数据可信系统的开源框架与路线图。