Raw LLM Responses

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G Robots, ai generated things are hyped for no reason I always had a fear of them… ytc_Ugw4Ga65m… G I don’t think we can rely on personal responsibility to keep tech companies in c… rdc_g9ba5rd G Hello friend! I live in Russia and do not speak English at an acceptable level. … ytc_Ugz2kB1ha… G The "one important thing to remember", is that it's ai.... Not human. Do not tre… ytc_UgwK6P8M8… G Since Humans get ticketed by Police than Waymo should get a Virus 🦠 by the Polic… ytc_UgzQcSjOs… G I got one of those funny apps where you talk to a character form a film I starte… ytc_UgyOdF-4o… G My dad’s table was pretty close to this one, he sent me pictures of the anti ai … ytc_UgxUUDcFw… G AI will destroy the human nature is that possible?? -- ofcourse it's possible 10… ytc_Ugzhjf-WG…
Comment
It is an issue that Automating cars is basically an attempt to keep cars a thing. It would be more efficient to work on a final solution and slowly phase out city car use but this does mean real change and people are famously resistant to that. Best would be a system of automated individualistic elevated train cars: -A central computer handling traffic management, the much simpler sensory apparatus needed to automate trains would work well with such a system. -Being on a static rail would mean being able to power the vehicles with renewable or nuclear energy for minimum effect on the environment and better quality air. -It could be used for both people and cargo. This would allow for even more green areas thanks to the lack of roads needed and parking lots with stops at the edges of cities would allow the less urban travellers who need to go into the cities to easily transition to the inner city system. -With the right design they could also couple into larger trains for intercity travel and even reduce that traffic to a bare minimum. -Train cars not in use could be called to mini-stations from underground storage kind of like a bus stop but where the bus is at most a few minutes away.
youtube 2025-07-30T09:3…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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