The breakthrough of AI is not achieved behind closed doors in a few top laboratories. What truly drives AI evolution are the behavioral trajectories, feedback signals, and contextual environments generated by millions of users during their daily interactions. These seemingly small interactions, when accumulated, become the most valuable resources for AI learning. Emerging perception network technology happens to fill this gap—it converts users' real interaction data into learning signals that AI can directly absorb, allowing every user operation to feedback into the optimization of AI models. This closed-loop feedback mechanism is the key to truly accelerating AI progress.