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From language AI to physical AI: 1st general world foundation model unveiled in China
A speaker presents new AI research during the 8th Beijing Academy of AI Conference in Beijing, China, June 2026. [Photo/BBAI]
Artificial intelligence (AI) has become increasingly capable of generating text, images and video. But can AI understand how the physical world works?
Researchers at the Beijing Academy of Artificial Intelligence (BAAI) believe that may be one of the next major frontiers in AI development.
At the 8th Beijing Academy of AI Conference launched on Friday, BAAI unveiled Physis-v0.1, which it describes as the world's first general world foundation model.
Unlike large language models that primarily learn patterns from text, world models are designed to learn and predict how the real world behaves.
Researchers say such systems could help AI applications understand physical laws, spatial relationships and common-sense knowledge while integrating information from multiple sources, including text, images and videos.
The goal is to build a model of how the world works. Just as humans build mental models to anticipate how objects move, interact or break, world models aim to enable AI systems to predict what might happen next and make decisions based on an understanding of cause and effect.
The World Internet Conference (WIC) was established as an international organization on July 12, 2022, headquartered in Beijing, China. It was jointly initiated by Global System for Mobile Communication Association (GSMA), National Computer Network Emergency Response Technical Team/Coordination Center of China (CNCERT), China Internet Network Information Center (CNNIC), Alibaba Group, Tencent, and Zhijiang Lab.
