OpenLedger has released its latest white paper, synchronously releasing the token economy of OPEN. Today, Binance also announced the airdrop of OPEN to Alpha, which should be one of the AI projects I have been paying close attention to recently. ==OPEN's positioning== It is not simply a 'Gas Token', but the economic foundation of AI blockchain, Pull all data contributors, model developers, validators, and users into the same incentive system. ==Key highlights of the white paper== Propose Proof of Contribution: Chain every data and model contribution to ensure traceability, pricing, and profit sharing. Introducing Datanets and Model Factory: enabling the community to collaborate in providing data, fine-tuning models, and receiving rewards. Emphasize transparency and auditability: transform AI from a black box into a verifiable and governed public infrastructure. ==Three key aspects of tokenomics== 1. Allocation design 51.7% of the community (including 5% airdrops) Investor 18.29% Team 15% Ecological 10% • Liquidity 5% Completely community centered. 2. Unlocking mechanism TGE releases 21.55% for liquidity and reward activation Community&Ecology: 48 months of linear unlocking • Team&Investors: 12 months Cliff+36 months Linear Long term lock up to avoid short-term market crashes. 3. Core purpose • Pay gas and platform fees Ensure the landing of Proof of Attribution rewards • Drive model proposal, fine-tuning, and inference billing Every data and every inference is directly bound to OPEN. ==Conclusion== If the OpenLedger white paper solves the problem of "how to attribute and make AI on chain transparent", then OPEN Tokenomics is the economic engine that ensures this system can self cycle in the long run. This is not just a token design, but an attempt to make 'AI=sustainable economy'. TGE should be coming soon, look forward to it!