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383 points bookstore-romeo | 1 comments | | HN request time: 0.714s | source
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navaed01 ◴[] No.42200260[source]
Conversation about ‘players are the product’ of Pokémon go aside… What are some practical applications of an LGM?

Seems like navigation is ‘solved’? There’s already a lot of technology supporting permanence of virtual objects based on spatial mapping? Better AI generated animations?

I am sure there are a ton of innovations it could unlock…

replies(2): >>42200327 #>>42200382 #
1. wongarsu ◴[] No.42200382[source]
"It could help with search and rescue" jokes aside [1] this seems really useful for robotics. Their demo video is estimating a camera position from a single image, after learning the scene from a couple images. Stick the camera on a robot, and you are now estimating where the robot is based on what the robot has seen before.

They are a bit vague on what else the model does, but it sounds like they extrapolate what the rest of the environment could look like, the same way you can make a good guess what the back side of that rock would look like. That gives autonomous robots a baseline they can use to plan actions (like how to drive/fly/crawl to the other side) that can be updated as new view points become available.

1: https://www.xkcd.com/2128/