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Reflecting on the current state of AI reveals some issues: Where does the data come from? Who controls the models? How are the results verified? Most of it operates as closed-source black boxes.
This is also why some are developing an alternative approach—not simply stacking parameters to create more powerful AI, but building a decentralized AI ecosystem. Making data ownership, model control, and verification mechanisms all transparent and traceable.
This paradigm shift might be the direction of the next wave: from a few giants monopolizing black-box AI to an open, transparent, and verifiable distributed intelligence system. Whether you believe it or not, the competition in this track has already begun.