OpenLedger is not really working on any new AI applications, it is more like restructuring 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 interests. Its core design is the Proof of Attribution. In the past, the data we fed to AI was silently contributed, and no one knew what you provided or rewarded you. @OpenledgerHQ has achieved "who provided the data, trained which model, and contributed much", which can be checked, tracked, and revenue can be obtained. 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, agriculture, and turn this data into high-quality fuel for training models. Once the data is used, rewards are automatically distributed to all contributors, making it transparent and reasonable. And OpenLoRA, which really lowers the barrier to participation. You don't need to be an AI expert, with data, needs, and community, you can train your own models and deploy them for direct use. It is completely an AI creation space that "everyone can participate in and everyone can have". What I like most about OpenLedger is that it's not a cold tech stack, but a serious question about who AI should belong to. How should value be distributed? How should every ordinary person participate? The answer it gives is that AI should not be just for large companies, nor should it be just a game for engineers. #kaito #yap #cookie #OpenLedger is making "smart" truly decentralized. Every piece of data and every piece of knowledge you provide could become part of AI in the future, and you'll be fairly rewarded for it. This is a direction that I agree with. Instead of creating AI behemoths, we are rebuilding an intelligent system that belongs to everyone.