OpenLedger is not really developing a new AI application; it’s more like reconstructing a new logic for AI infrastructure. Simply put, it aligns the interests of every data provider, model developer, and user on the same line. Its core design is Proof of Attribution. Previously, the data we fed to AI was contributed silently, with no one knowing what you provided, and no one rewarding you. But @OpenledgerHQ has made it possible to track "who provided the data, trained which model, and contributed how much"—all of it can be checked, traced, and you can earn income from it. Even more impressive is the Datanets mechanism. You can collaborate with a group of people around a specific field, such as weather, healthcare, or agriculture, to build a dedicated data network that turns this data into high-quality fuel for training models. Once the data is used, rewards are automatically distributed to all contributors, transparently and fairly. Then there’s OpenLoRA, which truly lowers the participation threshold. You don’t need to be an AI expert; with data, a need, and a community, you can train models yourself and deploy them for direct use. It’s completely a space for "everyone to participate, everyone to own" in AI creation. What I love most about OpenLedger is that it’s not just a cold stack of technology; it seriously considers: Who should AI belong to? How should value be distributed? How can every ordinary person participate? The answer it provides is—AI should not only belong to big companies, nor should it just be a game for engineers. #kaito #yap #cookie #OpenLedger is truly decentralizing the concept of "intelligence." Every piece of data and knowledge you provide could become part of AI in the future, and you will receive fair compensation for it. This is a direction I strongly agree with. It’s not about creating an AI behemoth, but about rebuilding an intelligent system that belongs to everyone.