Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
No mention of AI use in intelligence gathering and targeting. Ex- The huge number of aerial/ satellite photos taken over Ukraine and Russia can consume a huge amount of analytical time. Comparison of the montage of photos, visual and non-visual wavelengths, over time can reveal movement of even well camouflaged material, id the type of material and reveal decoys. Couple this with millimeter wavelength radar surveillance and communications activity and a very insightful picture of your enemy's activities and whereabouts. Because of the quantity of detailed data required, near real-time modeling requires something on the order of AI. Another example is the use of acoustic sensors to detect enemy drones. This is already happening. Using AI, not only could aircraft be detected, but their velocity, altitude, number and make be calculated and target probability predicted. Radar could enhance this. Sort of like a real-time OLPARS/ SOSUS, but for air.
youtube 2024-08-01T19:3…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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