Nowadays, there are a lot of AI projects, and there are a lot of concepts and volumes. But in the end, what can stay still depends on: landing ability + truly respecting the value of users' data. OpenLedger is moving in this direction. I've watched interviews with OpenLedger before, and one of the things that struck me the most was that they really value community. It is not the importance of shouting slogans, but in the process of product development, relying on community feedback to continuously iterate, and the community itself is the "co-builder" of this project. —————— ➤ About OpenLedger @OpenLedger ▪️OpenLedger is the first blockchain purpose-built for decentralised AI, with a focus on unlocking the liquidity of data, models, and AI agents. ▪️ The fundamental problem it wants to solve is the "data black box" problem of centralised AI - returning the ownership and income rights of data to the users themselves. ▪️ The project has received $15 million in funding from top institutions such as Polychain, HashKey, and Finality, and is backed by OGs such as EigenLayer, Polygon, and Gitcoin. ▪️ The testnet has completed more than 20 million transactions, and combined with the DePIN + AI architecture, the feasibility of model and data collaboration is being verified. —————— ➤ The data model is all in volumes, what are the differences in OpenLedger? In the past year, most Crypto AI projects have focused on volume "computing power", such as decentralised GPUs. However, the three elements of AI are: data = fuel, model = engine, and computing power = energy. What can really be implemented and monetised is the data and the model itself. OpenLedger has chosen a more down-to-earth route of "model deployment + call profit sharing", rather than blindly rolling up scientific research and heaping parameters. —————— ➤ SLM (Small Language Model) is more critical than you think Not every project needs a large model. SLM has low cost and fast fine-tuning, which is more suitable for rapid on-chain deployment, and can also automatically share profits through invocation behaviour to achieve model tokenization. Don't look at it small, many AI applications that can really run actually rely on it. —————— ➤ OpenLedger builds a complete set of "on-chain model economic systems" The goal is to run through the complete closed loop from data → model → using → benefits. Key modules include: ▪️Model Factory: A no-code fine-tuning platform that allows anyone to train models ▪️OpenLoRA: Thousands of models coexist, modules are hot-swappable, and deployment is flexible ▪️Datanets: Verifiable data networks to ensure that data is trustworthy ▪️Proof of Attribution: Automatically divides profits with each call ▪️Proposal platform: A DAO-based collaboration market for models, co-construction and co-governance To put it simply, it is a combination of HuggingFace + Stripe + Infura, and it is on-chain and composable, truly realising "model as asset". —————— ➤ How can developers use it? Developers can obtain authorisation data, train models, deploy with one click, and open calls on OpenLedger. Each call will automatically trigger the token profit sharing, and all behaviours can be verified and traced across the chain. It sounds like Web2, but the value comes from on-chain transparency, incentives, and composability, so that the model becomes an asset, and the call is monetisation. —————— ➤ OpenLedger is more engineering-oriented NEAR is more like an AI Agent platform, and Bittensor focuses on on-chain training; OpenLedger, on the other hand, focuses on the deployment, invocation and value circulation of models – the core is to "make models profitable". To put it bluntly: I don't roll papers or engage in gimmicks, I just want to run, use, and earn models. —————— ➤ The one that struck me the most was the Model Factory This product is too friendly for small teams. The graphical interface and visualisation of the whole process can complete data authorisation, model configuration and deployment without writing code. It also supports LoRA/QLoRA fine-tuning, built-in evaluation, testing, path backtracking, and full-chain tracking in one go. Even if you don't have a technical background, you can train your own exclusive model. —————— OpenLedger is one of the most "product-like" projects in the Crypto AI market right now. It is not an empty slogan of "AI on chain", but a model economic system that builds "model is an asset and call is value". As AI narrative enters deep waters, this kind of project with real mid-level value may be the final winner.