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## Towards Complementary Foundation Models

An LGM will be useful for more than mere positioning. In order to solve positioning well, the LGM has to encode rich geometrical, appearance and cultural information into scene-level features. These features will enable new ways of scene representation, manipulation and creation. Versatile large AI models like the LGM, which are useful for a multitude of downstream applications, are commonly referred to as “foundation models”.

Different types of foundation models will complement each other. LLMs will interact with multimodal models, which will, in turn, communicate with LGMs. These systems, working together, will make sense of the world in ways that no single model can achieve on its own. This interconnection is the future of spatial computing – intelligent systems that perceive, understand, and act upon the physical world.

As we move toward more scalable models, Niantic’s goal remains to lead in the development of a large geospatial model that operates wherever we can deliver novel, fun, enriching experiences to our users. And, as noted, beyond gaming Large Geospatial Models will have widespread applications, including spatial planning and design, logistics, audience engagement, and remote collaboration.

The path from LLMs to LGMs is another step in AI’s evolution. As wearable devices like AR glasses become more prevalent, the world’s future operating system will depend on the blending of physical and digital realities to create a system for spatial computing that will put people at the center.

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