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机器人学停滞 70 年:Skild AI 的 Deepak Pathak 谈通用大脑与数据飞轮

📌 One-Sentence Summary CMU 教授、Skild AI 联合创始人 Deepak Pathak 指出,机器人学之所以停滞 70 年,是因为它一直被当作硬件问题而非通用大脑问题;要像语言模型一样实现规模化,就必须沿可扩展性、多样性、与机器人的贴近度三条轴评估每种数据源,并把部署数据回流成数据飞轮,而这只有「任意机器人、任意任务、单一大脑」的全机体智能才能实现。 📝 Summar

来源:BestBlogs·AI 高分精选 · www.bestblogs.dev

Robotics Has Been Stuck for 70 Years — Deepak Pathak, Skild AI

CMU professor and Skild AI co-founder Deepak Pathak argues that robotics has been stuck for 70 years because it was framed as a hardware problem, and that scaling it like language models requires judging every data source on scalability, diversity, and closeness to the robot, then feeding deployment data back into a flywheel that only an omnibody brain — any robot, any task, one brain — makes possible.