Raw LLM Responses
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G
This is from usa today:
How does Ring's AI identify lost dog
It works like thi…
ytc_UgwBmSHy0…
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25:27 that hit so hard…. Comes to show you how FAST we are growing in this GAME:…
ytc_Ugz4YbuxI…
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AI is The Beast described in Revelation. Praise God and look for His forgiveness…
ytc_UgyTKAo0C…
G
Colleges are trying to sell paralegal courses or accounting that is so wrong kno…
ytc_UgzVjgkGC…
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What happened in that video it was deep fake but it wasnt a porn video so why so…
ytc_Ugwf8g-tY…
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There is no programmer. That's not how modern AI works. It's a neural network; a…
ytr_UgzinhIp_…
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Bro I let one of my friends from school at school on my phone and they said "yes…
ytr_Ugxrjnrdc…
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Impersonation fraud schemes: understanding the tactics and how to protect yourse…
ytc_Ugwdmk1Mc…
Comment
What if our cities were safe from every disaster—floods, fires, storms, and heatwaves?
This idea proposes building a huge, fully automated underground city for 20 million people. To make it possible, the first step would be to spend about 18 months making a highly advanced factory to build 6,000 of the world’s biggest tunnel boring machines. Once ready, these machines would dig over 32,000 km of massive tunnels where people could live, work, and move around on high-speed robotic trains—totally protected from anything happening on the surface.
Everything in the city—food, cleaning, deliveries, transport—would be handled by AI and robots. Air and water would be purified underground, and because all homes and services are bundled together, the average weekly cost per person could be lower than rent in big cities now (about $60–$80/week). Plus, by living underground, the land above could be returned to nature, helping restore the environment!
It’s a bold idea to solve climate risk, urban crowding, and cost of living all at once, using the latest tech. Would you want to live in an underground city if it meant more safety, lower costs, and a cleaner planet?
youtube
AI Governance
2025-07-18T01:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgyHOIZfBBRd9rfuNu94AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxwlFjhJpVoPKMwaFB4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyZJav79amXxUrScRR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyIRSrEeeQmTeFaBAJ4AaABAg","responsibility":"distributed","reasoning":"contractualist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyaiVul7ruK6mpzOu54AaABAg","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugze8LurW5gtBdJzUwZ4AaABAg","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_UgypQR8WGUurmdSbuKR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz4glno3-lls5ppFXJ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_UgzvKoRRA6pTrrYBj8B4AaABAg","responsibility":"government","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugw9H3moKYVoHDenddZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}
]