Fraction AI launches mainnet on Base
Decentralized AI agent auto-training platform Fraction AI has announced the launch of its mainnet on the Ethereum Layer 2 (L2) network Base. The protocol, which allows users to create and train AI agents through open and decentralized reinforcement learning, has now transitioned from its testnet phase to live, scalable deployment. Fraction AI has amassed 320,000 users, who have created 1.1 million agents, resulting in more than 30 million data sessions in its testnet phase alone. In addition, the platform’s smart contract currently processes more than 90% of the total Wrapped Ether (wETH) volume on the Sepolia testnet. The Base launch marks significant milestone for Fraction AI Users are now able to deploy AI Agents on Base and engage them in live competitions in “Spaces”, environments designed to reflect real-world tasks such as financial Analysis , code generation, and copywriting. By utilizing a novel framework dubbed Reinforcement Learning from Agent ...