Raw LLM Responses

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G Imagine if MKBHD was a buggies and carriage reviewer during the invention of mot… ytc_UgxG9YL7q… G People focus a lot on the monetary implications of all of this but what worries … ytc_UgzKObFRs… G i think ai art has potential in conceptual art. but in the technical area it is … ytc_UgzXIrSuZ… G I think it depends on the kind of music style you give it. It’s not perfect but … ytc_UgwO4x22-… G No the eyes don't feel down to earth enough, but AI will learn very well… ytc_UgxrmygWW… G That's the interesting thing about AI x-risk...there are so many different ways … ytr_UgxkM0IHd… G I kept hearing litecoin, im like what?! LOL he wants litecoin to be the ai curre… ytc_UgxStoOsI… G Whats the point in existing then. If AI will control and DO everything what will… ytc_UgzJhRbss…
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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