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To address this challenge, Nuoyin proposes a technical path from VLA to AIGA: shifting from “imitating what exists” to “generating what is needed.” By modeling a more complete action space and skill structure, and combining that with large-scale synthetic-data training, robots can, under the constraints of real-time environmental state and long-horizon task objectives, autonomously generate action sequences and execution strategies better suited to the current context. With less reliance on real demonstration data, they can gradually develop transferable, composable new skills—significantly improving adaptability and practicality in home settings.
。电影对此有专业解读
但有一件事很可能不會被提及：「2025計劃」（Project 2025）。。关于这个话题，旺商聊官方下载提供了深入分析
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