Raw LLM Responses

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G huh i used to think the guy was so cool to attack the AI by using it against its… ytc_UgzeSaxgD… G Yes, yes, yes! THIS! Ever heard of that whole thing about men who get so addicte… ytc_Ugxhif_Fe… G To be honest is horrible to also draw something for hours and someone come like … ytc_Ugz6Rqlbr… G Lmao , the Russians will actually try this when they can develop a robot ,… ytc_Ugw3gHprV… G Definitely we will need to work on AI as it develops. Kids should be warned tha… ytr_UgwnXDIr3… G Ai cannot replace doctors or lawyers. Both of these jobs require nuance that an … ytr_UgwiUszmw… G Still not clear on how you turn "Find alternative uses for this pencil!" into a … ytc_UgzzKnfYw… G @DickfromIceland I've been able to get quality output through built up conversat… ytr_Ugy8YKLgJ…
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
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionapproval
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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