李飞飞终于把空间智能讲明白了：AI 的极限不是语言，世界远比文字更广阔！

Core Viewpoint - The article discusses the emerging concept of spatial intelligence in artificial intelligence (AI), emphasizing its importance for understanding and interacting with the physical world, beyond the capabilities of current language models [6][24][33]. Summary by Sections Introduction - A recent roundtable discussion featuring AI leaders like Huang Renxun and Li Feifei sparked controversy regarding the role of different players in the AI landscape [1][3]. Current AI Limitations - Many believe that the true power in AI lies with those who create large models like GPT and those who develop GPUs that enable these models to run efficiently [4][5]. - Li Feifei's focus on spatial intelligence highlights a significant limitation in current AI paradigms, which primarily rely on language as a means of understanding the world [5][10]. Spatial Intelligence Concept - Spatial intelligence is defined as the ability to perceive, understand, and interact with the physical world, which is crucial for AI to truly comprehend and engage with its environment [9][12]. - The article outlines how spatial intelligence serves as a scaffold for human cognition, influencing reasoning, planning, and interaction with the world [13][15]. Development of World Models - The creation of world models is proposed as a pathway to develop AI with spatial intelligence, enabling machines to generate and interact with complex virtual or real environments [16][17]. - Three fundamental capabilities are identified for world models: generative, multimodal, and interactive [17][19][20]. Applications of Spatial Intelligence - The potential applications of spatial intelligence span various fields, including creative industries, robotics, scientific research, healthcare, and education [24][30]. - Tools like World Labs' Marble are highlighted as early examples of how spatial intelligence can enhance creativity and storytelling [22][26]. Future Prospects - The article emphasizes the need for collective efforts across the AI ecosystem to realize the vision of spatial intelligence, which could transform human capabilities and enhance various sectors [25][31]. - The ultimate goal is to create AI that complements human creativity, judgment, and empathy, rather than replacing them [30][33].