$FLOCK: Decentralized AI training platform that enables privacy preserving collaborative model development through federated learning and blockchain incentives - Trades at $70M FDV, up 100% over past 30 days; 31% staking ratio with average lock time of 275 days and +8k models created to date. - Builds decentralized ecosystem for AI model training, fine tuning, and deployment; empowers users to contribute compute, algorithms, and data without centralizing sensitive information or ownership. - Leverages federated learning to aggregate model weights from local datasets while preserving data sovereignty; integrates proof-of-stake, with slashing for malicious actors and consensus based rewards. -Core architecture includes AI Arena for competitive training via staked roles (training nodes, validators, delegators); FL Alliance for collaborative fine-tuning without data transfer; AI Marketplace for model hosting, inference, and community-driven improvements. - Runs live on Base chain; AI Arena ( processes 660k+ validation submissions with yields averaging 6.53% for nodes and 150.11% max for delegators; AI Marketplace ( hosts models like BTC-GPT (10k calls) and supports integrations such as Baby 4D for healthcare imaging; active partnerships include Alibaba Qwen, UNDP, HKGAI for government AI, and CIMG Inc. for LifeNode wellness app. - 2025 achieved: CB Insights, Bittensor subnet, v2 tokenomics/gmFLOCK, Qwen alliance, first DeAI enterprise software; roadmap: FL Alliance beta, Moonbase beta, Q3 OpenAI API monetization, CVC funding, AI Arena v3, end 2025 Agent Marketplace. - Backed by Ethereum Foundation, Lightspeed; Grayscale watchlist; first Web3 AI at Royal Society/Web Summit/WWW. - Catalysts: Sept FLockCon; Moonbase/API revenue; enterprise in healthcare (cross continent), finance (privacy agents), logistics (fleet opt), gov (inter dept); UNDP growth; CIMG treasury; announcements on v3 tokenomics. @flock_io x @0x7SUN