Now there are a plethora of AI projects, many of which are just conceptual, and quite a few are engaged in research. But in the end, what can truly stand the test is: the ability to implement + genuinely respecting the data value of users. OpenLedger is moving in this direction. I previously watched an interview with OpenLedger, and the most impressive point was: they genuinely value the community. It's not just lip service; they are seriously iterating based on community feedback throughout the product development process, with the community itself being a "co-builder" of the project. —————— ➤ About OpenLedger @OpenLedger ▪️ OpenLedger is the first blockchain specifically designed for decentralized AI, focusing on releasing the liquidity of data, models, and AI agents. ▪️ The fundamental problem it aims to solve is the "data black box" issue of centralized AI—returning the ownership and profit rights of data back to the users themselves. ▪️ The project has already secured $15 million in funding from top institutions like Polychain, HashKey, and Finality, with support from OGs like EigenLayer, Polygon, and Gitcoin. ▪️ The testnet has completed over 20 million transactions, and it is validating the feasibility of model and data collaboration through a DePIN + AI architecture. —————— ➤ With so many data models competing, what sets OpenLedger apart? In the past year, most Crypto AI projects have focused on competing in "computing power," such as emphasizing decentralized GPUs. But the three essential elements of AI are: data = fuel, model = engine, computing power = energy. What can truly be implemented and monetized is the data and the model itself. OpenLedger has chosen a more grounded path of "model deployment + revenue sharing" rather than blindly competing in research and piling up parameters. —————— ➤ SLM (Small Language Models) are more crucial than you think Not every project needs a large model. SLMs are cost-effective, quick to fine-tune, and more suitable for rapid deployment on-chain, while also enabling automatic revenue sharing through invocation behavior, achieving model tokenization. Don’t underestimate them; many truly operational AI applications rely on them. —————— ➤ OpenLedger is building a complete "on-chain model economic system" The goal is to create a complete closed loop from data → model → usage → revenue. Key modules include: ▪️ Model Factory: a no-code fine-tuning platform where anyone can train models ▪️ OpenLoRA: coexistence of thousands of models, modular hot-swapping, flexible deployment ▪️ Datanets: a verifiable data network ensuring data credibility ▪️ Proof of Attribution: automatic revenue sharing with each invocation ▪️ Proposal platform: a DAO-like collaborative market for models, co-building and co-governance In simple terms, it’s a combination of HuggingFace + Stripe + Infura, but on-chain and composable, truly realizing "models as assets." —————— ➤ How can developers use it? Developers can access authorized data, train models, deploy with one click, and open calls on OpenLedger. Each invocation will automatically trigger token revenue sharing, with all actions being verifiable and traceable on-chain. It feels like Web2, but the value comes from on-chain transparency, incentive mechanisms, and composability, turning models into assets, where invocation equals monetization. —————— ➤ Not focusing on large models or competing in research, OpenLedger is more engineering-oriented NEAR is more like an AI Agent platform, Bittensor focuses on on-chain training; while OpenLedger focuses on model deployment, invocation, and value circulation—the core is "making models profitable." In short: no competing in papers, no gimmicks, just wanting to get models running, usable, and profitable. —————— ➤ What impressed me the most is the Model Factory This product is incredibly friendly for small teams. With a graphical interface and full-process visualization, you can complete data authorization, model configuration, and deployment without writing code. It also supports LoRA / QLoRA fine-tuning, built-in evaluation, testing, and path tracing, all seamlessly tracked on-chain. Even without a technical background, you can train your own exclusive model. —————— OpenLedger is currently one of the most "product-like" projects in the Crypto AI market. It’s not just shouting "AI on chain" as an empty slogan, but is genuinely building a model economic system where "models are assets, and invocation is value." As the AI narrative enters deeper waters, projects with real mid-level value like this may be the ultimate winners.