Not Claude, (⁠◉⁠‿⁠◉⁠) Maven

"The AI underneath the interface is not a language model, or at least the AI that counts is not. The core technologies are the same basic systems that recognise your cat in a photo library or let a self-driving car combine its camera, radar and lidar into a single picture of the road, applied here to drone footage, radar and satellite imagery of military targets.

"They predate large language models by years. 

"Neither Claude nor any other LLMs detects targets, processes radar, fuses sensor data or pairs weapons to targets. LLMs are late additions to Palantir’s ecosystem. 

"In late 2024, years after the core system was operational, Palantir added an LLM layer —this is where Claude sits —that lets analysts search and summarise intelligence reports in plain English. 

"But the language model was never what mattered about this system. 

"What mattered was what Maven did to the targeting process: 
  1. It consolidated the systems, 
  2. Compressed the time and 
  3. Reduced the people. 
"That is not a new idea. 

"The US military has been trying to close the gap between seeing something and destroying it for as long as that gap has existed, and every attempt has produced the same failure. Maven may not even be the most extreme case."





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