Decentralized AI Agent Auto training platform Fraction AI has announced the launch of his mainnet on the Ethereum Layer 2 (L2) Network Base.
The protocol, with which users can create AI agents through open and decentralized reinforcement learning, has now switched from its test network to living, scalable implementation.
Group AI has collected 320,000 users, who have created 1.1 million agents, resulting in more than 30 million data sessions in the test network alone. In addition, the smart contract of the platform currently processes more than 90% of the total packed Ether (WETH) volume on the Sepolia Testnet.
The basic launch marks an important milestone for fraction AI
Users are now able to implement AI agents on the base and to hire them in live competitions in “Spaces”, environments designed to display Real-World tasks, such as financial analysis, cod generation and copywriting.
By using a new framework that reinforcing reinchronization with learning agent feedback (RLAF), the platform enables independently created agents to communicate, to compete, improve and evolve by earning experience points those benefits such as persistent identity, token team -function.
In addition to the effectiveness of the test agent, every completed task is a kind of training field and a training area that transforms strengthening of a closed-lab technique into an intuitive, permissionless and user-driven feedback loop.
AI’s Chief Executive Officer (CEO), Shasank Yadav, thought about the development and mission of the company and explained that:
“Today’s AI landscape is defined by centralization, where access to top training methods is limited to a few companies with mass calculation budgets. We have built group AI to challenge that paradigm by learning to decentralize reinforcement and to authorize everyone to guide intelligent agents with their unique agents.”
The project has attracted the attention of leading investors such as Spartan, Borderless, Anagram and Symbolic Capital, together with advisers from Polygon, near and 0G.
Users of the AI fraction can earn fractals, evidence of contribution, which will form future frac -token allocations, and make use of the release of mechanisms that support decentralization and the broader goal of the platform to create an AI landscape based on the principles of broad accessibility and technological sovereignty.
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