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Core Viewpoint - Spatial intelligence is identified as the next frontier for AI, with the potential to revolutionize creativity, robotics, scientific discovery, and more [2][4][10]. Group 1: Definition and Importance of Spatial Intelligence - Spatial intelligence is described as a foundational aspect of human cognition, enabling interaction with the physical world and driving reasoning and planning [20][21]. - The evolution of spatial intelligence is linked to the development of perception and action, which are crucial for understanding and interacting with the environment [12][13][14]. - Historical examples illustrate how spatial intelligence has driven significant advancements in civilization, such as Eratosthenes' calculation of the Earth's circumference and the invention of the spinning jenny [18][19]. Group 2: Current Limitations of AI - Current AI models, including multimodal large language models (MLLMs), have made progress in spatial perception but still fall short of human capabilities [23][24]. - AI struggles with tasks involving physical representation and interaction, lacking the holistic understanding that humans possess [25][26]. Group 3: World Models as a Solution - The concept of "world models" is proposed as a new generative model that can surpass the limitations of current AI by understanding, reasoning, generating, and interacting with complex virtual or real worlds [28][30]. - World models should possess three core capabilities: generative, multimodal, and interactive [31][34][38]. - The development of world models is seen as a significant challenge that requires innovative methodologies to coordinate semantic, geometric, dynamic, and physical aspects [39][41]. Group 4: Applications and Future Potential - The potential applications of spatial intelligence span various fields, including creativity, robotics, science, healthcare, and education [56][57]. - In creativity, platforms like World Labs' Marble are enabling creators to build immersive experiences without traditional design constraints [52][53]. - In robotics, achieving spatial intelligence is essential for robots to assist in various environments, enhancing productivity and human collaboration [60][62]. Group 5: Vision for the Future - The vision for the future emphasizes the importance of AI enhancing human capabilities rather than replacing them, with spatial intelligence playing a crucial role in this transformation [47][50]. - The exploration of spatial intelligence is framed as a collective effort that requires collaboration across the AI ecosystem, including researchers, innovators, and policymakers [51][63].