Zhu Songchun unveils CUV architecture and "Tongtong" 3.0, claims first place on GSA test
What happened
At the 2026 World Artificial Intelligence Conference, Zhu Songchun criticized the large-model approach for relying on data fitting and advocated using BIGAI's CUV cognitive architecture to "give machines a heart." His team has released the general intelligent agent "Tongtong" 3.0, upgrading spatial, cognitive and social intelligence, and ranked first overall in the eight categories of the self-developed Tongzhi Test GSA. This approach still faces three questions: GSA is self-developed by the team, so the independence of the evaluation is questionable; the effectiveness of transferring from simulated environments to the real world remains to be verified; and a commercial closed loop has not yet been formed.
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- 图灵人工智能 · 微信公众号Building a Mind for Machines: Zhu Songchun, BIGAI's CUV Architecture, and the General-Purpose Intelligent Agent Tongtong
At the 2026 World Artificial Intelligence Conference, Zhu Songchun reflected on the large-model approach and argued for replacing pure data fitting with BIGAI's CUV cognitive architecture, promoting the idea of "building a mind for machines." His team has released version 3.0 of its general-purpose intelligent agent Tongtong, upgrading its spatial, cognitive, and social intelligence, and it ranked first overall in eight categories of the team's self-developed General Social AI (GSA) test. This approach still faces three questions: evaluation independence, simulation-to-reality transfer, and a closed commercialization loop.
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