Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data (nianticlabs.com)

Article summary

Niantic plans to build a Large Geospatial Model using data from Pokémon Go players. The model aims to achieve spatial intelligence, with potential applications beyond gaming, including spatial planning and design, logistics, and remote collaboration. The details of the model and its development are not fully available, but the announcement has sparked discussion about the potential uses and implications of such a model.

Main themes

• Geospatial modeling
• Pokémon Go data collection
• Spatial intelligence
• Privacy concerns
• AR technology
• Data usage and ownership

What commenters say

• The Large Geospatial Model could be optimized by finding a sweet spot for model size, balancing data density and geographical scope.
• Some commenters believe the CIA may have access to the data collected by Niantic, raising privacy concerns.
• Others argue that the model's primary function will be to provide location data, and it is unlikely to contain non-location data such as weather or cultural information.
• The use of Pokémon Go as a vehicle for gathering training data has been seen as a clever move, but some question the ownership and accessibility of the resulting technology.
• There are differing opinions on the potential applications and benefits of the Large Geospatial Model, with some seeing it as a win-win-win situation and others expressing skepticism about its value and accessibility.
• Some commenters think that the model's development is a result of long-term vision and planning by companies like Google and Niantic to create a new generation of 3D models for mapping and other purposes.
• The discussion also touches on the role of game engines and telemetry data in the development of the model, with some arguing that the engine used is irrelevant to the logged data.
• There are concerns about the potential for the model to be used for surveillance or other purposes that could infringe on individuals' privacy.