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Documents are a critical missing layer in trustless RWA tokenization. jean paoli of Docugami explained to JP Mullin (🕉, 🏘️) how DGML structures real estate data, gives AI agents a verifiable way to check it, then immutably anchors that proof on NVNM Chain. Open source at

18,749 次观看 • 18 天前 •via X (Twitter)

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🚨 Introducing Hash Network - World's Provenance Chain. Misinformation is at an all-time high. AI-generated content, deepfakes, and manipulated media make it impossible to tell what’s real. This crisis of authenticity undermines our ability to rely on the information we consume, leaving us questioning the integrity of everything from images and videos to news we consume. This has given rise to critical questions: How can we trust what we see? Who created this piece of content? How was it modified? The answer lies in provenance, it is the ability to trace the origin, history, and modifications of any content. Simply put, provenance provides the much needed transparency to verify authenticity and understand the steps taken to reach a content’s current state. However, the way provenance is currently stored presents a critical issue. Currently, provenance data is written into the metadata of the content itself. This approach leaves it vulnerable to being erased or tampered with. To truly address the issue, provenance must be tamper-proof, transparent, and universally accessible. This is where Hash Network comes in. Building on C2PA standards and leveraging Content Authenticity Initiative tools, Hash Network provides a tamper-proof layer for content authenticity. By embedding every action whether it’s a content edit or a transformation on-chain, Hash Network ensures that provenance is not just traceable but also tamper proof. It is built as a Layer 3 Arbitrum orbit chain that settles on Base . This infrastructure ensures that the provenance data is protected from tampering and remains accessible, creating a global provenance chain.

Hash Network

45,150 次观看 • 1 年前