TLDR: EDITH AI and DIN (formerly Web3Go) have announced a strategic collaboration aimed at tokenizing compute power and real-world assets like energy and real estate. This partnership seeks to build a decentralized AI economy by integrating DIN’s AI blockchain mechanism with EDITH AI’s protocol to create the world’s first ownable AI supergrid, emphasizing ownership, transparency, and community-driven AI infrastructure.
In a significant move towards advancing decentralized artificial intelligence, EDITH AI has officially partnered with DIN, previously known as Web3Go. This collaboration, announced on September 27, 2025, marks a pioneering step in establishing a robust infrastructure for AI agents and decentralized AI applications. The core objective is to transform real-world resources, including compute power, energy, and real estate, into on-chain, tokenized assets.
The alliance is set to create the world’s first ‘ownable AI supergrid’. This initiative is driven by a shared vision of fostering an inclusive AI economy that prioritizes ownership, transparency, and decentralization. According to EDITH AI, the partnership will result in a comprehensive AI infrastructure ecosystem, combining tokenized compute power with DIN’s native AI blockchain.
DIN will integrate its specialized AI blockchain mechanism with EDITH AI’s protocol. This protocol is designed to convert both physical and digital assets into tokenized Real-World Assets (RWAs). This integration is expected to provide contributors, users, and investors not only with access to the AI infrastructure but also with the opportunity to generate real yield from their participation. As articulated by DIN, this collaboration is crucial for enabling AI to truly belong to the community.
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Ishtiyaq Hussain, reporting for BlockchainReporter, highlighted that both projects emphasized the transformative potential of this alliance in integrating artificial intelligence and blockchain technology. The collaboration aims to make AI more decentralized, accessible, and beneficial for a broader audience, moving towards a future where AI systems are community-owned and transparent.
