Having dinner with friends, he said, "Now the projects of AI+chain are being hyped up one by one, and as soon as they are listed on the exchange, they are sky high FDV, and retail investors simply cannot play. ” I can only smile wryly after listening - who hasn't been caught up in this old trick of high FDV+high circulation? In fact, what people in the cryptocurrency industry are most afraid of is not the wrong direction, but seeing the right thing but not having any meat to eat. The @ Openledger HQ I am following this time is different: Binance listing, reasonable FDV, rhythmic airdrop release, obvious supply-demand tension, more suitable for ordinary investors to participate. In the past few weeks, OpenLedger has made three significant "qualitative changes" that are worth highlighting: 1) Binance listing+HODLer Airdrops Binance announced on September 5th that OPEN spot trading (including USDT/USDC/BNB/FDUSD/TRY trading pairs) will be launched on September 8th, with an initial circulation of 215.5M (21.55%). The first batch of 10M OPEN will be airdropped (1%), and an additional 15M will be added in 6 months. The official contract is announced as BSC/Ethereum with the same address (Seed Tag). This not only improves availability, but also means that the pace of subsequent unlocking and secondary airdrops will directly affect the throwing pressure structure. 2) Collaborate with Trust Wallet's AI wallet The official and multiple media outlets have confirmed that they will jointly build an "AI native, self hosted wallet experience" that directly integrates natural language instructions, verifiable attribution, and on chain automation into the wallet interface (without giving up private keys). This step brings the narrative of 'intelligence as the entrance' to the real product line. 3) Content and Attention Motivation: Yapper Arena A 6-month list for discussing OpenLedger/decentralized AI, with a total prize pool of 2 million (OPN/OPEN naming has been mixed), encouraging in-depth content and long-term participation; Naturally coupled with Kaito's Yaps rating/ranking ecosystem, it facilitates the formation of a 'measurable public opinion field'. The route of "tradable AI assets" based on technology foundation OpenLedger regards data/models/agents as liquid assets, and around primitives such as Proof of Attribution, Datanets, ModelFactory/OpenLoRA, it puts training, publishing, billing, and allocation on the chain to solve the long-standing problem of "who contributes what and how much they deserve". This line is the key differentiation of AI x Web3. Financing and Endorsement In 2024, it will receive an 8M seed round (led by Polychain&Borderless, including HashKey, etc.), and according to multiple reports and statistics, it will accumulate about 15M in financing by 2025, with a high match between narrative and capital. Ecology and Developer Support: OpenCircle The official claim is to provide a 25M ecosystem funding through OpenCircle/SedLab, focusing on decentralized AI protocols and applications, supporting incentives such as computing power/attribution points, reducing trial costs, and accelerating application implementation My observations on investment/builders Supply side: Seed tags+staged airdrops → Pay attention to unlocking rhythm and secondary liquidity absorption. Binance Product side: Pay attention to the timeline for the launch of Trust Wallet's integrated gray scale (announced by multiple sources on 8/6, with industry news mentioning a pilot in October), to verify the actual usage frequency and retention. Ecological side: Tracking http://scan.openledger.xyz Evaluate whether the first batch of projects supported by OpenCircle and the main network activity have resulted in "chargeable real use cases". Summary in one sentence: OpenLedger is pushing "AI asset liquidity" from a concept to a product and ecosystem three piece package: exchange liquidity (OPEN)+wallet entrance (Trust Wallet)+community attention (Yaps/Arena). The ultimate outcome depends on whether the attribution mechanism can truly bring chargeable AI applications and reusable data/model markets.