Raw LLM Responses
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G
Fr, my pfp pic and banner is ai generated but I don't go around saying im a real…
ytc_UgwqpSaLK…
G
I watched the AI 2027 and it seems that the main idea is that within the next 5 …
ytc_Ugw_-NRaI…
G
Oh no please, not this P.C. crap going into programming A.I. ugh
It’s very simp…
ytc_UgzlwwzzI…
G
So when are Teslas going to be incorporated in a fleet of automated cars ?
Becau…
ytc_UgwXOi_U6…
G
Yeah, they're gonna have to transition to profit-making eventually. This might b…
rdc_n7lc4v5
G
if the AI was genuinely sentient, we wouldn't need to ask for its explicit conse…
ytc_UgwzWuZqO…
G
PLEASE....everyone know the end game is a FEW SELECT humans and millions of AI-e…
ytc_Ugw-uOgfz…
G
Are competitors gonna have to go back to traditional paint and canvas when compe…
ytc_UgwwhcMj4…
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"}
]