Re:Google SWE points 48 AI agents at NASA Lidar, finds unmap...
by y04nn on Wednesday November 11, 2026 @09:38AM
(#50453980)
Cool story but:
> They turned the lidar strips (about 1,200 km² of jungle) into images, and 48 agents went through them one by one like very patient archaeologists, looking for pyramids, platforms, and plazas while filtering out natural hills, sinkholes, and roads. There was no special model or classifier involved: the agents literally looked at the pictures, following a precise guide.
Would it be better to ask a single LLM to create a processing pipeline to inject raw LIDAR data, create a heightmap and use an image classifier to identify unnatural shapes that standout and create a ranking score with a higher value where multiple shapes appears close to each other. At least you get something reusable and probably multiple order of magnitude faster.
> They turned the lidar strips (about 1,200 km² of jungle) into images, and 48 agents went through them one by one like very patient archaeologists, looking for pyramids, platforms, and plazas while filtering out natural hills, sinkholes, and roads. There was no special model or classifier involved: the agents literally looked at the pictures, following a precise guide.
Would it be better to ask a single LLM to create a processing pipeline to inject raw LIDAR data, create a heightmap and use an image classifier to identify unnatural shapes that standout and create a ranking score with a higher value where multiple shapes appears close to each other. At least you get something reusable and probably multiple order of magnitude faster.