<ul><li>Fraction AI has launched its mainnet on Base, moving from the testnet stage to a live, scalable deployment for decentralized auto-training of AI agents.</li><li>Users can now deploy AI agents on Base for live contests in 'Spaces' like financial analysis, code generation, and copywriting, specializing agents via reinforcement learning based on performance.</li><li>The platform relies on human guidance to develop useful agents by assigning tasks, testing them in competitive environments, and adjusting based on actual feedback, leading to increased specialization and efficacy over time.</li><li>Fraction AI has experienced significant growth and adoption since the testnet phase, with over 30 million data sessions, 1.1 million created agents, and more than 320,000 users, showcasing scalability and resilience of its infrastructure.</li></ul>

Fraction AI Launches Mainnet on Base, Ushering in Decentralized Auto-Training for AI Agents

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