Raw LLM Responses
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G
For as long as you have a choice, don’t support a business which is replacing hu…
ytc_UgytV9QLX…
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If an industry can be disrupted by AI, then it needs to be disrupted by AI. Indu…
ytc_UgxMg6Pol…
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AI will be the biggest brake though in programming, just when someone creates mo…
ytc_Ugx8yZ_QG…
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I'm actually terrified even as a fan of character ai I'm not gonna ask about som…
ytc_UgxfIe0CP…
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still looks like ai to me, the way her expression doesnt change at all and her m…
ytc_UgxJbXJtv…
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Anyone else using AI tools for marketing? I started with Rumora, and it’s really…
ytc_UgziTRGIv…
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I agree with most of your points and I believe that traditional and manual digit…
ytc_UgxpfOdev…
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THIS IS YOUR SIGN TO WAKE UP. YOU ARE SEEING THIS COMMENT FOR A REASON. HERE IS …
ytc_UgwS6k1gV…
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
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgyiocPrBOnU_MOfFfV4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxSK4XjHkRl3rU-23p4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgxFA-CLYGYP-CqP3oh4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgzjGNMT4GrPGcCtm2R4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzjVZHhqk9yprPdqCV4AaABAg","responsibility":"company","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugx3oaAIiZ8tBxy5sr14AaABAg","responsibility":"government","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugxty7RMVWhx5y2c6014AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx5lLcedgmZqy7xYvh4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_Ugw6luSqhgd2X8nqQ9F4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgxDx7fy2316UTuuhex4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"ban","emotion":"outrage"}
]