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It is argued that harnessing physical-digital AI agents, through persistent coupling of digital intelligence with physical sensing, dynamics, action, and feedback, provides a system-level pathway toward adaptive and continuously evolving UAV autonomy.
Video models consistently fail at realistic dynamics because they conflate appearance with physical laws, a failure resolved here by synthesizing material-conditioned optical flow fields before rendering pixels.
Reliable automated cooking is now achievable with a framework that transforms user preferences into executable recipes, ensuring transparency and adaptability in real kitchens.
