.@OpenledgerHQ is aiming to bring the core elements of the AI world—data, models, and AI Agents—onto the blockchain, turning them into assets that are 'traceable, shareable, and transparent.' Using their Datanet, they’re restructuring fragmented training data so that every piece of data can be traced and accounted for on-chain. The key here is that they’re not building those massive, monolithic large models. Instead, they’re focusing on SLMs (Specialized Language Models)—smaller, specialized models that are lighter, easier to deploy, and better suited for running on-chain, creating an entire AI ecosystem. The OPEN token isn’t just for show. It serves multiple purposes: gas fees for model calls, incentives for data contributions, and governance voting. This kind of multi-purpose token design makes a lot of sense in AI + Web3 scenarios. As long as data is being contributed, models are being updated, and Agents are running, the entire network can generate real value flow. The ecosystem is also moving quickly. Prototypes of applications like AI model marketplaces, data marketplaces, and on-chain Agents are already up and running. Since the token launch, on-chain activity has noticeably increased. If Datanet stabilizes, developers will likely be eager to deploy their small models on this chain. To put it simply, OpenLedger wants to take the value distribution of AI away from centralized platforms and redistribute it to data providers, model developers, and compute contributors. If this narrative becomes reality, it could lead to a major paradigm shift. The infrastructure is still in its early stages, and whether the model ecosystem can truly thrive depends on whether developers will build on it. But at least the roadmap is heading in the right direction. AI on the blockchain might not take off today, but it’s definitely one of the trends of the future. And OpenLedger is right at this intersection, pushing forward. @OpenledgerHQ open open