RSS3 AI Information Community (also called the RSS3 Information Sublayer, DSL) has formally built-in with Virtuals’ G.A.M.E. Agentic framework, bringing real-time, structured, and verifiable knowledge throughout Web1, Web2, and Web3 straight into AI brokers. This integration empowers Virtuals’ AI brokers with real-time, structured, and verifiable knowledge throughout Web1, Web2, and Web3—feeding AI brokers the worlds’ knowledge that they’re yearning for.
By tapping into RSS3’s AI Information Community, brokers inside Virtuals’ G.A.M.E. ecosystem acquire entry to real-time blockchain knowledge (supporting 16 chains and counting), social media intelligence, and cross-platform main knowledge streams—eliminating the info silos that restrict AI in the present day. This permits AI and DeFAI brokers in gaming, DeFi, and social to function with unprecedented autonomy and intelligence. Builders concerned with leveraging RSS3’s knowledge inside Virtuals’ framework can discover the combination at Virtuals’ GitHub repository.
The Energy of Actual-Time, Verifiable Information in AI
Conventional AI brokers usually depend on closed, centralized datasets, working in isolation from real-world occasions. RSS3 flips that paradigm, delivering an open, verifiable, and decentralized knowledge stream—a essential lacking piece in in the present day’s AI panorama. Usually in comparison with because the “Bitcoin of Information,” RSS3 ensures AI brokers obtain structured, real-time info with out centralized gatekeepers, enabling trustless decision-making and decentralized intelligence. Thus far, the RSS3 AI Information Community has processed ~400 million queries.
RSS3 AI Information 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 conduct modeling, real-time sentiment evaluation, or autonomous monetary methods.
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 knowledge built-in. Some examples given embrace, a Hyperliquid dealer agent that may predict undertaking momentum based mostly on real-time cross-platforms multimedia social knowledge, a Pendle wealth administration agent that may maximize yields stacking up refined DeFi looping auto-compounding and cross-chain arbitraging in response to real-time multi-chain knowledge, and a Polymarket agent that may decide 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 knowledge the best way Bitcoin decentralized cash. The undertaking emphasize on open, structured, and verifiable knowledge being isn’t simply a bonus—as a substitute it’s the key to really autonomous and clever AI. This integration with Virtuals solidifies that imaginative and prescient, bringing trustless, real-time knowledge 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 now not a dream—it’s occurring now.
