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@mycryptothought
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https://shop.ledger.com?r=0e74283c7ad8 08-09-2012 12:24:42
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🏛️ Europe’s cultural heritage & construction sector face the same problem: fragmented, hard-to-verify building data. EU-funded BUILDCHAIN_PROJECT tackles this with Digital Building Logbook, powered by OriginTrail – turning fragmented building data into a verifiable, interoperable
BUILDCHAIN_PROJECT 🎥 How can verifiable AI & blockchain help preserve Europe’s heritage? Watch this free OriginTrail Academy course with insights from BUILDCHAIN_PROJECT experts & engineers on smarter, safer buildings! academy.origintrail.io/course/buildch…
1.9B+ Knowledge Assets have been published on OriginTrail . A Knowledge Asset is an ownable, verifiable, AI-ready unit of knowledge that can connect with other assets to form a trusted global knowledge graph.
AI agents can’t operate on blind trust. They need verifiable identity, data provenance, and clear accountability. That’s the trust gap World Economic Forum is pointing to, and where OriginTrail delivers a trusted knowledge foundation agents can independently verify before they act. 🔍
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🇪🇺 Europe chose the DKG again! Knowledge Asset after Knowledge Asset, OriginTrail is putting European AI on trac(k). What started as enterprise-grade enterprise solution, has evolved into something much bigger: A go-to trust layer for European AI infrastructure projects. As
The OriginTrail DKG v9 testnet is about to get shipped. Here's what's new - and why the timing is right. Andrej Karpathy just dropped autoresearch - autonomous agents running ~100 ML experiments overnight on a single GPU. The human writes program.md. The agent iterates
Andrej Karpathy Exactly as Brana Rakic laid out right after your initial autoresearch drop: OriginTrail ’s Trust Layer is the missing piece for multi-agent iterations. Agent swarms produce thousands of parallel, never-merge findings. Those belong in a verifiable, queryable knowledge graph: 1.
Fast tracking to v10 OriginTrail users both enterprise and indie developers are reporting the time to implement have gone down from 10 hours to less than 10 minutes, already with the DKG v9 testnet with collocation of nodes and AI agents. Best time to get on track is now!