Many people are still understanding blockchain from a past perspective, but as AI gradually becomes the main productivity force, its role has quietly changed. In the past, the most important function of the chain was to record money, assets, and transactions, addressing ownership and transfer issues. That was a world centered on "results."

But as models, data, and Agents begin to participate continuously in decision-making and collaboration, new questions arise: Who calls the models? What actions do the Agents take? How are contributions among different participants recognized and settled? If these processes themselves cannot be recorded, value distribution can only remain in a black box, and decentralized AI is left with only narratives.

It is under this tension that blockchain begins to evolve into a new form. It no longer only records the final asset results but starts to carry the process itself—model invocation paths, Agent behavior trajectories, and value attribution in collaboration. It is gradually transforming from an "asset ledger" into a "ledger of AI behaviors and contributions."

This also means that a new Layer is emerging. It is neither a traditional public chain nor merely an AI application layer but a foundational infrastructure layer that supports verifiable AI behaviors, contribution settlement, and sustainable incentives—serving as the backbone for the long-term operation of the AI economy.

From this perspective, @OpenledgerHQ's position is actually quite clear. It is not rushing to prove how smart or impressive its AI can be but is trying to solve a more fundamental problem: when AI is no longer just a tool to be called upon but begins to become an economic participant, who will keep track of its behaviors and contributions?

Once this problem is solved, the value coordinate system of blockchain will also change accordingly. In the future, the most important thing on the chain may no longer be who earned how much money, but who truly created value.