Raw LLM Responses

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G Damn imagine telling the family how their father or son got crushed by a robot…… ytc_Ugw-0P6pF… G Just as A.I evolves, so does Nightshade. And for all those A.I bros, go suck a l… ytc_Ugzx2pd-z… G welcome to nation of nerds. This is not AI. Where is the intelligence? Ya they t… ytc_UgzXSLiXY… G I am Autistic and only ever wanted to be a gathering hunting forager. Please t… ytc_Ugy6sCTDV… G I only listen to classic rock music. There are so many bands from the 60s 70s an… ytr_UgzMmLfe5… G @Chuchel-hh6hqas someone who works in the civil engineering field, no , because … ytr_UgwQrm9UV… G Life is like playing video games you love it at first but then if you speed thro… ytc_UgzA13dx5… G Ethical??? are you kidding? EAch interaction with human make AI better and bet… ytr_Ugxrg8bdb…
Comment
UC Davis has popularized the idea of 3 Revolutions in urban transportation: autonomy, electrification, and ridesharing. They make a similar point to the one in this video, that autonomous personally-owned vehicles could end up increasing traffic congestion. With personally-owned vehicles, most of the costs are fixed/sunk, so once you’ve bought the car there’s an incentive to use it as your main way of getting around. With taxis/ridesharing, all of the costs are variable (you pay per minute and per mile), so there’s more incentive to avoid long trips. This includes multimodal trips - using a service like Waymo to get to the nearest transit station (and it’s fine if they don’t have parking), taking transit through a congested urban corridor, and then using a different rideshare vehicle for the “last mile” from the transit stop to the destination. I would guess that relatively few people in LA use Waymo like this, but many people in San Francisco do, because SF has a more mature transit system and traffic congestion is more concentrated in certain times and locations.
youtube 2025-07-04T02:3…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policyunclear
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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