RSS3 AI Knowledge Community (also called the RSS3 Knowledge Sublayer, DSL) has formally built-in with Virtuals’ G.A.M.E. Agentic framework, bringing real-time, structured, and verifiable information throughout Web1, Web2, and Web3 straight into AI brokers. This integration empowers Virtuals' AI brokers with real-time, structured, and verifiable information throughout Web1, Web2, and Web3—feeding AI brokers the worlds’ information that they’re yearning for.
By tapping into RSS3’s AI Knowledge Community, brokers inside Virtuals' G.A.M.E. ecosystem achieve entry to real-time blockchain information (supporting 16 chains and counting), social media intelligence, and cross-platform main information streams—eliminating the info silos that restrict AI at the moment. This permits AI and DeFAI brokers in gaming, DeFi, and social to function with unprecedented autonomy and intelligence. Builders fascinated about leveraging RSS3’s information inside Virtuals’ framework can discover the combination at Virtuals’ GitHub repository.
The Energy of Actual-Time, Verifiable Knowledge in AI
Conventional AI brokers typically depend on closed, centralized datasets, working in isolation from real-world occasions. RSS3 flips that paradigm, delivering an open, verifiable, and decentralized information stream—a important lacking piece in at the moment’s AI panorama. Typically in comparison with because the "Bitcoin of Knowledge," RSS3 ensures AI brokers obtain structured, real-time info with out centralized gatekeepers, enabling trustless decision-making and decentralized intelligence. To this point, the RSS3 AI Knowledge Community has processed ~400 million queries.
RSS3 AI Knowledge Community consists of 92 decentralized RSS3 nodes, together with Google’s personal RSS3 node, reinforcing the reliability and decentralization of AI brokers—whether or not in NPC habits modeling, real-time sentiment evaluation, or autonomous monetary techniques.
Unlocking Agentic Potentials
In a podcast interview, RSS3 founder Joshua talked about some fascinating concepts of brokers that may be constructed on Virtuals’ GAME framework now with RSS3 information built-in. Some examples given embrace, a Hyperliquid dealer agent that may predict venture momentum based mostly on real-time cross-platforms multimedia social information, a Pendle wealth administration agent that may maximize yields stacking up subtle DeFi looping auto-compounding and cross-chain arbitraging in line with real-time multi-chain information, and a Polymarket agent that may choose up real-time cross-network social sentiments detecting cross-market inefficiency.
Decentralizing AI—One Dataset at a Time
RSS3 was constructed on a radical imaginative and prescient: decentralizing information the best way Bitcoin decentralized cash. The venture emphasize on open, structured, and verifiable information being isn’t simply a bonus—as an alternative it’s the key to actually autonomous and clever AI. This integration with Virtuals solidifies that imaginative and prescient, bringing trustless, real-time information streams to AI brokers in gaming, DeFi, and past.
The workforce believes that the way forward for AI isn’t nearly intelligence—it’s about trustlessness. And with RSS3 fueling Virtuals’ AI brokers, decentralized AI is not a dream—it’s occurring now.
