
Machine Economic Order: A Full-Stack Pathway to Agentic Commerce
Author: 0xjacobzhao | https://linktr.ee/0xjacobzhao

Machine Economic Order: A Full-Stack Pathway to Agentic Commerce
Author: 0xjacobzhao | https://linktr.ee/0xjacobzhao


机器的经济秩序:智能体商业的全栈路径
作者:0xjacobzhao | https://linktr.ee/0xjacobzhao

The Convergent Evolution of Automation, AI, and Web3 in the Robotics Industry
This independent research report is supported by IOSG Ventures. The author thanks Hans (RoboCup Asia-Pacific), Nichanan Kesonpat(1kx), Robert Koschig (1kx), Amanda Young (Collab+Currency) , Jonathan Victor (Ansa Research), Lex Sokolin (Generative Ventures), Jay Yu (Pantera Capital) , Jeffrey Hu (Hashkey Capital) for their valuable comments, as well as contributors from OpenMind, BitRobot, peaq, Auki Labs, XMAQUINA, GAIB, Vader, Gradient, Tashi Network and CodecFlow for their constructive feed...

The Convergent Evolution of Automation, AI, and Web3 in the Robotics Industry
This independent research report is supported by IOSG Ventures. The author thanks Hans (RoboCup Asia-Pacific), Nichanan Kesonpat(1kx), Robert Koschig (1kx), Amanda Young (Collab+Currency) , Jonathan Victor (Ansa Research), Lex Sokolin (Generative Ventures), Jay Yu (Pantera Capital) , Jeffrey Hu (Hashkey Capital) for their valuable comments, as well as contributors from OpenMind, BitRobot, peaq, Auki Labs, XMAQUINA, GAIB, Vader, Gradient, Tashi Network and CodecFlow for their constructive feed...

The Convergent Evolution of Automation, AI, and Web3 in the Robotics Industry
Author: 0xjacobzhao | https://linktr.ee/0xjacobzhao

The Convergent Evolution of Automation, AI, and Web3 in the Robotics Industry
Author: 0xjacobzhao | https://linktr.ee/0xjacobzhao

机器人产业畅想:自动化、人工智能与 Web3 的融合进化
本独立研报由IOSG Ventures支持,感谢*Hans (RoboCup Asia-Pacific) , Nichanan Kesonpat(1kx), Robert Koschig (1kx) , Amanda Young (Collab+Currency) , Jonathan Victor (Ansa Research), Lex Sokolin (Generative Ventures), Jay Yu (Pantera Capital) , Jeffrey Hu (Hashkey Capital) 对本文提出的宝贵建议。撰写过程中亦征询了 OpenMind, BitRobot, peaq, Auki Labs, XMAQUINA, GAIB, Vader, Gradient,Tashi Network 和CodecFlow等项目团队的意见反馈。本文力求内容客观准确,部分观点涉及主观判断,难免存在偏差,敬请读者予以理解。*一、机器人全景:从工业自动化到人形智能传统机器人产业链已形成自下而上的完整分层体系,涵盖核心零部件—中间控制系统—整机制造—应用集成四大环节。核心零...

机器人产业畅想:自动化、人工智能与 Web3 的融合进化
本独立研报由IOSG Ventures支持,感谢*Hans (RoboCup Asia-Pacific) , Nichanan Kesonpat(1kx), Robert Koschig (1kx) , Amanda Young (Collab+Currency) , Jonathan Victor (Ansa Research), Lex Sokolin (Generative Ventures), Jay Yu (Pantera Capital) , Jeffrey Hu (Hashkey Capital) 对本文提出的宝贵建议。撰写过程中亦征询了 OpenMind, BitRobot, peaq, Auki Labs, XMAQUINA, GAIB, Vader, Gradient,Tashi Network 和CodecFlow等项目团队的意见反馈。本文力求内容客观准确,部分观点涉及主观判断,难免存在偏差,敬请读者予以理解。*一、机器人全景:从工业自动化到人形智能传统机器人产业链已形成自下而上的完整分层体系,涵盖核心零部件—中间控制系统—整机制造—应用集成四大环节。核心零...


机器人产业畅想:自动化、人工智能与 Web3 的融合进化
作者:0xjacobzhao | https://linktr.ee/0xjacobzhao

Brevis Research Report: The Infinite Verifiable Computing Layer of zkVM and ZK Data Coprocessor
The paradigm of Verifiable Computing—“off-chain computation + on-chain verification”—has become the universal computational model for blockchain systems. It allows blockchain applications to achieve near-infinite computational freedom while maintaining decentralization and trustlessness as core security guarantees. Zero-knowledge proofs (ZKPs) form the backbone of this paradigm, with applications primarily in three foundational directions: scalability, privacy, and interoperability & data int...

Brevis Research Report: The Infinite Verifiable Computing Layer of zkVM and ZK Data Coprocessor
The paradigm of Verifiable Computing—“off-chain computation + on-chain verification”—has become the universal computational model for blockchain systems. It allows blockchain applications to achieve near-infinite computational freedom while maintaining decentralization and trustlessness as core security guarantees. Zero-knowledge proofs (ZKPs) form the backbone of this paradigm, with applications primarily in three foundational directions: scalability, privacy, and interoperability & data int...

Brevis Research Report: The Infinite Verifiable Computing Layer of zkVM and ZK Data Coprocessor
Author: 0xjacobzhao | linktr.ee/0xjacobzhao

Brevis Research Report: The Infinite Verifiable Computing Layer of zkVM and ZK Data Coprocessor
Author: 0xjacobzhao | linktr.ee/0xjacobzhao

Brevis研报:ZKVM 与数据协处理器的无限可信计算层
“链下计算 + 链上验证”的可信计算(Verifiable Computing)范式,已成为区块链系统的通用计算模型。它让区块链应用在保持去中心化与信任最小化(trustlessness)安全性的前提下,获得几乎无限的计算自由度(computational freedom)。零知识证明(ZKP)是该范式的核心支柱,其应用主要集中在扩容(Scalability)、隐私(Privacy)以及互操作与数据完整性(Interoperability & Data Integrity)三大基础方向。其中,扩容是 ZK 技术最早落地的场景,通过将交易执行移至链下、以简短证明在链上验证结果,实现高 TPS 与低成本的可信扩容。ZK 可信计算的演进可概括为 L2 zkRollup → zkVM → zkCoprocessor → L1 zkEVM。早期 L2 zkRollup 将执行迁至二层并在一层提交有效性证明(Validity Proof),以最小改动实现高吞吐与低成本扩容。 zkVM 随后扩展为通用可验证计算层,支持跨链验证、AI 推理与加密计算(代表项目:Risc Zero、Succinc...

Brevis研报:ZKVM 与数据协处理器的无限可信计算层
“链下计算 + 链上验证”的可信计算(Verifiable Computing)范式,已成为区块链系统的通用计算模型。它让区块链应用在保持去中心化与信任最小化(trustlessness)安全性的前提下,获得几乎无限的计算自由度(computational freedom)。零知识证明(ZKP)是该范式的核心支柱,其应用主要集中在扩容(Scalability)、隐私(Privacy)以及互操作与数据完整性(Interoperability & Data Integrity)三大基础方向。其中,扩容是 ZK 技术最早落地的场景,通过将交易执行移至链下、以简短证明在链上验证结果,实现高 TPS 与低成本的可信扩容。ZK 可信计算的演进可概括为 L2 zkRollup → zkVM → zkCoprocessor → L1 zkEVM。早期 L2 zkRollup 将执行迁至二层并在一层提交有效性证明(Validity Proof),以最小改动实现高吞吐与低成本扩容。 zkVM 随后扩展为通用可验证计算层,支持跨链验证、AI 推理与加密计算(代表项目:Risc Zero、Succinc...

Cysic Research Report: The ComputeFi Path of ZK Hardware Acceleration
Zero-Knowledge Proofs (ZK) — as a next-generation cryptographic and scalability infrastructure — are demonstrating immense potential across blockchain scaling, privacy computation, zkML, and cross-chain verification. However, the proof generation process is extremely compute-intensive and latency-heavy, forming the biggest bottleneck for industrial adoption. ZK hardware acceleration has therefore emerged as a core enabler. Within this landscape, GPUs excel in versatility and iteration speed, ...

Cysic Research Report: The ComputeFi Path of ZK Hardware Acceleration
Zero-Knowledge Proofs (ZK) — as a next-generation cryptographic and scalability infrastructure — are demonstrating immense potential across blockchain scaling, privacy computation, zkML, and cross-chain verification. However, the proof generation process is extremely compute-intensive and latency-heavy, forming the biggest bottleneck for industrial adoption. ZK hardware acceleration has therefore emerged as a core enabler. Within this landscape, GPUs excel in versatility and iteration speed, ...