The article also highlights the work of Niantic, the maker of Pokémon GO, in building a large geospatial model using billions of images anchored to precise locations globally. The author concludes by emphasizing the potential of combining geospatial intelligence and AI, suggesting that this combination could lead to proactive AI that can ask and answer necessary questions.
Key takeaways:
- The article discusses the advancement of large language models (LLMs) toward a new generation of large geospatial models (LGMs), which is an exciting frontier for the advent and extension of AI.
- Conventional generative AI and LLMs lack geospatial capacities, which is a vitally missing component. To solve this, the idea is to leverage LLMs and connect them with or eventually intermix geospatial tendencies, creating LGMs.
- LGMs are expected to be of immense value in various fields. For instance, a city planner can use an LGM to visualize a proposed park, analyze its impact on pedestrian traffic and nearby businesses, and even simulate the park’s appearance years after construction.
- Niantic, the maker of Pokémon GO, is leveraging the geospatial images collected from the game to devise an LGM with incredible capabilities. This indicates that the emergence of LGMs is getting underway and is expected to grow rapidly.