OpenLedger isn't really a new AI application, it's more like refactoring a new set of AI infrastructure logic. To put it simply, it allows every data provider, model developer, and user to stand on the same line of interest. At its core, the Proof of Attribution. In the past, the data we fed to the AI was silently contributed, and no one knew what you provided and no one rewarded you. And @OpenledgerHQ has achieved "who provided the data, trained which model, and contributed how much", all of which can be checked, tracked, and earned. Even more powerful is the Datanets mechanism. You can work with a group of people to build your own data network around a certain field, such as weather, healthcare, and agriculture, so that this data can become high-quality fuel for training models. Once the data is used, the rewards are automatically distributed to all contributors, transparently and reasonably. There's also OpenLoRA, which really lowers the barrier to entry. You don't need to be an AI expert, you have the data, the requirements, and the community, you can train the model yourself, deploy it, and use it directly. It's a space for everyone to participate in and have for everyone. What I like most about OpenLedger is that it's not a cold stack of technologies, but a serious question: who should AI belong to? How should the value be distributed? How can every ordinary person participate? The answer is that AI shouldn't just be for big companies, and it shouldn't just be for engineers. #kaito #yap #cookie #OpenLedger is making "intelligence" truly decentralized. Every piece of data, every piece of knowledge that you provide, could be part of AI in the future, and you'll be fairly rewarded for it. That's a direction I'm very much in favor of. It's not about building AI behemoths, it's about rebuilding an intelligent system that belongs to everyone.