Spatial intelligence will enable robots to interact effectively with the physical world, bridging the gap between digital and real-world environments.

By integrating a 3D representation into models, we can better align the model's capabilities with the tasks we want it to perform, enhancing user affordances. Spatial intelligence is crucial for creating technology that understands and interacts with the 3D world, enabling a wide range of applications.

The journey of developing spatial intelligence will lead to unforeseen possibilities, expanding the boundaries of technology and its applications.

The future of spatial intelligence includes generating immersive 3D worlds for various applications, such as gaming and education, rather than just static images or videos.

AI will play a critical role in the development of augmented reality, making interactions more seamless and intuitive.

Augmented reality (AR) is a culmination of many fields, requiring expertise in computer vision, graphics, and real-time engineering to create immersive experiences.

The ultimate goal of spatial intelligence is to have widespread deployment and impact, allowing businesses and individuals to leverage its capabilities effectively.

The magic of AR lies in its ability to make digital representations believable and integrated into our real-world experiences.

Building a successful team for spatial intelligence requires multidisciplinary expertise, including system engineering, machine learning, and computer graphics.