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In conversation with Zhipu, Galbot, Guanglun Intelligence, and Deepexi: Will large language models eventually eat embodied models?

At the "Qinghe Night Talk" roundtable, Zhipu CEO Zhang Peng, Galbot CFO Sun Dengke, Guanglun Intelligence's Yang Haibo, and Deepexi Technology's Zhao Jiehui discussed whether large language models will eat embodied models. Sun Dengke drew an analogy to fast and slow systems, arguing that embodied models handle S1/S0-level manipulation, planning, and environmental understanding, and may require a smaller S2 parameter scale than language models; Zhang Peng argued that intelligence will ultimately converge. Guanglun Intelligence positions itself as simulation-based physical AI data and evaluation infrastructure, while Deepexi Technology has launched DeepWorks, which can be tried for free.

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