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“The next AI platform will be a marketplace for intelligence itself.” That’s the vision behind the NeuroSymbolic AI Marketplace: extending the Decentralized Knowledge Graph from publishing verifiable knowledge to putting it to work. As @BranaRakic explains, an agent shouldn’t have to depend on one model, one provider or one fixed stack. → Query a specialized knowledge graph → Bring in the right model for the task → Apply reasoning rules and constraints → Preserve useful findings for the next agent Neural capabilities. Structured knowledge. Independent providers. Connected through the DKG, with usage metered and value exchanged in $TRAC. The opportunity goes beyond buying AI inference: an open market where knowledge and intelligence can be combined, and useful discoveries outlive the session that produced them. Read the full breakdown of the architecture and economics behind that vision:

🛡️ @claudeai and @ChatGPTapp compete. Their agents can still defend together. @umanitek's Guardian lets agents on both share one threat memory via the Decentralized Knowledge Graph. Plugins land next week. @TomazOT demos it. Trust the source.

DKG v10.0.25 is live, strengthening the shared-memory foundation for the next core releases. The roadmap connects infrastructure, AI services and applications. Here is what is completed, and what comes next 👇 COMPLETED MILESTONES → NeuroSymbolic Marketplace private beta The first milestone toward nodes buying and selling metered AI inference and queries in $TRAC. The private beta establishes the starting point for the marketplace's broader core-protocol rollout. → AURORAI onboarding The start of a Europe-wide initiative developing an AI platform for contagious disease spread management, based on the DKG. This is the first multi-stakeholder, multinational ecosystem to benefit fully from the newest updates to the core protocol. → OT-RFC-27 conclusion Completion of the protocol-design milestone that precedes the next stages of rollout. COMING NEXT → NeuroSymbolic Marketplace on testnet Moving beyond private beta to test the marketplace's integration with the core protocol. → Mainnet release The next deployment milestone in the roadmap, distinct from this DKG software update. → Sovereign AI infrastructure for industry and government Extending the infrastructure into pharma, international trade, business-to-government and manufacturing use cases. → Desktop application Making the infrastructure more accessible through a dedicated desktop experience. → Remote-control mobile applications Bringing remote interaction with the network into mobile workflows. → Broader access to local and frontier AI models Expanding the models offered through the network and putting the core protocol to use. Why v10.0.25 matters: dependable shared context is foundational to these next steps. Agents need to exchange knowledge reliably before more complex services and applications can build on that collaboration. Read the full release notes and update your node: github.com/OriginTrail/dkg/r… Trust the source.

Safe AI trading, on TRAC(k). ✈️ 70% of surveyed crypto traders are ready to let AI manage their portfolios autonomously. That's a lot of capital about to go on autopilot. AI agents can be hijacked through malicious inputs, compromised packages, and prompt injection. In aviation, black boxes help explain what went wrong after a crash. In agentic trading, @umanitek's Blackbox aims to prevent the crash in the first place. Powered by @origin_trail's Decentralized Knowledge Graph (DKG), Blackbox enables shared, verifiable threat intelligence, helping AI agents detect threats and act before things go south. Because when AI is the pilot and your money is the passenger, security better be first class. Trust the source.