Exciting news in the world of AI as the decentralized AI agent auto-training platform, Fraction AI, has officially launched its mainnet on the Ethereum Layer 2 (L2) network Base.
This innovative protocol allows users to create and train AI agents using open and decentralized reinforcement learning. After a successful testnet phase, Fraction AI has now transitioned to live deployment on a scalable network.
With an impressive user base of 320,000 individuals creating 1.1 million agents and conducting over 30 million data sessions during the testnet phase, Fraction AI is making waves in the AI industry. The platform’s smart contract is currently processing over 90% of the total Wrapped Ether (wETH) volume on the Sepolia testnet.
The Base launch signifies a major achievement for Fraction AI
Users can now deploy AI Agents on Base and engage them in live competitions within “Spaces” that simulate real-world tasks like financial analysis, code generation, and copywriting.
Using a unique framework called Reinforcement Learning from Agent Feedback (RLAF), independently created agents can interact, compete, and evolve by earning experience points that unlock various perks including persistent identity and token issuance.
Each completed task serves as a training ground, transforming reinforcement learning into an intuitive and user-driven feedback loop.
CEO of Fraction AI, Shashank Yadav, shared his thoughts on the company’s mission, stating:
“Today’s AI landscape is defined by centralization, where access to top-tier training methods is restricted to a few corporations with massive compute budgets. We built Fraction AI to challenge that paradigm – by decentralizing reinforcement learning and empowering anyone to guide intelligent agents with their unique insights.”
The project has garnered interest from prominent investors like Spartan, Borderless, Anagram, and Symbolic Capital, as well as advisors from Polygon, Near, and 0G.
Users of Fraction AI can earn Fractals, proofs of contribution that will influence future FRAC token allocations. Additionally, staking mechanisms are available to support decentralization and the platform’s mission of democratizing the AI landscape.
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