tokenization

A decentralized P2P network called "AI Torrent" is designed for AI model inference, based on principles such as a BitTorrent economy where nodes exchange computational resources, a Smart Swarm Architecture using specialized models, and Self-Organizing Intelligence that allows popular models to migrate to active nodes. Users without computational resources can interact through a standard API or chat interface, while those with resources can register as nodes and earn utility tokens by performing inference tasks. AI model creators can upload models and receive royalties through smart contracts. The economy operates on utility tokens (AIT), with revenue distribution of 70% to seeders, 20% to model developers, and 10% to a DAO fund. The network aims to be cheaper than centralized alternatives and has mechanisms for liquidity and stability, including trading on DEX platforms and staking. Existing projects in decentralized AI demonstrate the viability of P2P inference, and the "AI Torrent" seeks to integrate their best features while focusing on making inference accessible and affordable. Challenges include latency in P2P systems, which the network aims to address through geo-DHT and edge caching.