Raw LLM Responses

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G I think apart from the hype, just in general the codex agents is not that great.… ytc_UgwTHACpu… G Spot on compost and atom bomb. Great video. Consciousness might be like a seque… ytc_Ugzph_OgI… G AI is going to be a blessing for Americans. What we need is unity around AI as a… ytc_UgwsDZViO… G Elon silenced for 20+ secs thinking on this question. when ai is so smart on eve… ytc_UgzVORyCQ… G Is the kind of stuff your do automatable (is this a word?)? For example I’m an e… rdc_hsf8zz3 G Drove for 22 years 2.1 million safe driving miles left when they tried to give m… ytc_Ugxrmlzru… G Maybe the idea of universal income will be a big thing at the point where we tal… ytc_UgwEsOIL-… G I know the secret truth about that the owner takes people and kill them and turn… ytc_UgwcI4GCP…
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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