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Digital Twin

m&W
2026-09-03 04:43:00

m&W 1.0 lays out a builder network for AI-era identity, digital twins and trusted coordination

m&W 1.0 presents itself not as a standard decentralized content platform, but as an information and cognition discovery network built for AI-era builders. In the project’s own framework, the long-term goal is to create a Trusted Coordination Order under the broader mission of m&WDAO: using blockchain to establish order for intelligent networks. The rollout starts with a community-style MVP. Users connect a wallet or Web3 identity on app.cmw.place, build a profile, and generate what the project calls cognitive signals through sharing, commenting, discussion and follow relationships. Those signals, along with the CMW metric shown on user pages and content cards, are described as early data for future contribution records, reputation systems and node-right mappings. The roadmap is split into three stages. Version 1.0 focuses on discovering builders through interaction and judgment. Version 2.0, labeled Identity, would introduce an attestation layer to convert behavior into verifiable on-chain contribution. Version 3.0, labeled Coordinate, is meant to connect Builder Identity, Digital Twin and AI Agent into a distributed coordination network. The project also ties this to an EcoFi model built around the sequence of contribution, reputation, coordination and value.

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m&W 1.0 lays out a builder network for AI-era identity, digital twins and trusted coordination
CrowdStrike
2026-09-03 02:58:44

CrowdStrike and Nvidia unveil SafeMind to counter automated AI cyberattacks

CrowdStrike and Nvidia announced a strategic partnership at this year’s Fal.Con conference, rolling out SafeMind, an AI-driven defense system designed to respond to increasingly automated cyberattacks. The project combines CrowdStrike’s 15 years of threat intelligence with NVIDIA’s open-source Nemotron models and uses CoreWeave’s AI cloud infrastructure for model training and inference. According to the companies’ outline, SafeMind is built as a proactive security framework in which different Nemotron models handle separate tasks, including orchestration and rule generation. The system is also tested in a digital twin environment jointly built by Nvidia and CrowdStrike, where red-team and blue-team agents continuously compete in simulated attack-and-defense scenarios. Alongside SafeMind, the two companies also introduced Falcon IQ, a multi-agent automation platform running in a no-code agent development environment. Powered by Nemotron models, Falcon IQ can coordinate more than 50 AI agents and is aimed at automating security assessments, threat prioritization, and remediation tasks for enterprise security teams.

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CrowdStrike and Nvidia unveil SafeMind to counter automated AI cyberattacks
Bitcoin
2026-08-31 03:13:47

m&W article frames Bitcoin as reserve money for machine economies, with stablecoins handling transactions

Foresight has published a market commentary by Jerry, founder of m&WDAO, arguing that the rise of software agents, digital twins and machine-driven production calls for a fresh debate over monetary standards in a digital civilization. The piece does not reject stablecoins. Instead, it says stablecoins may remain one of the most efficient media for high-frequency API billing and machine settlement, while still being tied to sovereign fiscal cycles and centralized access controls. On that basis, the article asks whether a borderless, machine-speed and highly autonomous digital economy also needs a native standard of value beyond day-to-day payment rails. The article places Bitcoin and sats at the center of that inquiry, presenting them not as dogma but as what it calls the most testable candidate for a native standard in the history of cryptography and distributed game theory. In its proposed structure, stablecoins serve as transaction money and Bitcoin serves as reserve money. It also outlines a three-layer model of direction, coordination and value, where builders define purpose, the m&W coordination stack allocates rights and resources, and Bitcoin provides the settlement and reserve reference. The piece closes by describing this as a civilizational hypothesis rather than a final answer, while citing inspiration from The Bitcoin Economy for AI and its paper, “Field Notes — State of Play — For Agents.”

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m&W article frames Bitcoin as reserve money for machine economies, with stablecoins handling transactions
m&W
2026-08-18 09:40:07

m&W Joins DAA to Push Trust Infrastructure for AI-Native Collaboration

m&W has joined the Dragon AI Accelerator, or DAA, an initiative launched by Draper Dragon, in a move the project describes as a step into a global AI innovation network. The announcement centers on m&W’s view that the next layer of digital infrastructure will not be about generating more intelligence alone, but about organizing collaboration between human builders, AI agents, autonomous organizations, and open protocols under a verifiable trust system. In its framework, digital civilization has progressed from the internet of information, to Bitcoin as the internet of value, to Ethereum as the internet of rules, and now toward what it calls an AI collaboration internet. m&W positions itself in that fourth stage. The project argues that static identity systems are no longer enough for a mixed human-and-agent economy, and proposes a shift to “Contribution Identity,” built around attestations, cryptographic proofs, and an on-chain trust graph that records what a participant actually contributed. The article also outlines m&W’s coordination stack, its builder-plus-digital-twin-network model, and a contribution flywheel linking attestations, trust graphs, coordination, EcoFi rewards, and further contributions. It presents that structure as a differentiator from AI agent platforms, decentralized compute networks, and traditional DID protocols, while framing the DAA entry as a channel for faster protocol iteration and broader ecosystem ties across AI and Web3.

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m&W Joins DAA to Push Trust Infrastructure for AI-Native Collaboration
Dragon AI Acc
2026-08-13 07:35:08

m&W Joins Dragon AI Accelerator in Strategic Partnership on AI and Web3

The Dragon AI accelerator (DAA), an initiative launched by Draper Dragon Fund, has announced a strategic partnership with m&W (m&W DAO). According to the announcement, m&W will formally join DAA, and the two sides will cooperate in AI, Web3 and digital collaboration networks, with a focus on connecting strong builders, innovative projects and ecosystem resources. DAA will provide m&W with advisory services and links to investment institutions and industry resources, in line with the design of its accelerator program. The two sides' underlying thesis is that in the AI era, the basic unit of productivity is Builder plus Digital Twin. m&W is committed to establishing a trusted collaboration order for the AI era. The project has already achieved a cold start through DAO mechanisms: its official website is live; a product MVP that aggregates and consolidates builders is live; and m&W has completed the assembly of nine genesis nodes. It is now preparing to operate 200 consensus nodes. The news was initially reported by ChainCatcher.

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m&W Joins Dragon AI Accelerator in Strategic Partnership on AI and Web3
NVIDIA
2026-07-16 02:39:00

NVIDIA expands Toyota partnership to smart vehicles, robotics and city traffic systems

NVIDIA said it is deepening its partnership with Toyota to bring AI and hardware technologies into vehicles, robotics and infrastructure. The collaboration starts with in-vehicle systems, where Toyota is using NVIDIA DRIVE HDX and DRIVE AGX, running DriveOS, to build next-generation smart vehicles with L2+ to L2++ advanced driving and situational awareness functions. Toyota is also adopting a code-assist AI model trained on NVIDIA Megatron-LM technology and the Nemotron dataset to help engineers generate, review and verify in-vehicle software under strict industry compliance requirements. The work also covers manufacturing and urban infrastructure. Toyota is using NVIDIA Omniverse and Isaac Sim to build digital twins of factory production lines under a simulation-first development model. In Japan’s Shizuoka Prefecture, Toyota subsidiary Woven by Toyota is developing the Woven City AI Vision Engine with NVIDIA H100 Tensor Core GPUs and the Megatron-Core framework for traffic control and mobility forecasting. NVIDIA separately said it is expanding its Jetson AGX Thor lineup for robots and widening deployment of its open-source Nemotron model to companies including NTT DATA and Hitachi.

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NVIDIA expands Toyota partnership to smart vehicles, robotics and city traffic systems