Raw LLM Responses
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G
Are we in Control that we have built so far? Like most common example can be the…
ytc_UgzsuhlmI…
G
10:36 was this filmed before the US EO addendum "PREVENTING WOKE AI IN THE
FEDER…
ytc_Ugx5VfDmF…
G
I find it so hilariously limiting and telling to think that an artificial super …
ytc_UgzbXjsRk…
G
Beyond sick of being told by a handful of tech billionaires that my life will be…
ytc_Ugw7rqJs1…
G
What kind of mobile device? If Android, you can swipe down from the top right an…
rdc_nb7xl27
G
i cannot wait to download ai images and pose as if i have made them right in fro…
ytc_UgwkkDjp9…
G
Just me or is chatGPT breathing or winding up gasping for air in between. Sounds…
ytc_Ugyj8GY97…
G
You did automatically download all of those images to your computer to be able t…
ytr_UgzHwFclU…
Comment
i would remind neil that there aren’t 29,000 people still alive, there are 35,000. the 6,000 people who die died for completely different reasons as the 35,000 did, i don’t think you can say that those 6,000 people who got obliterated by a self driving car are guaranteed to have also died from a human driver. i don’t think we should think of human lives as interchangeable.
granted, i’m also someone who is just plain opposed to self driving cars as a solution to any problem. if we want to make roads more efficient we shouldn’t be trying to optimize individual cars and drivers, because we can’t have everyone own a gas car due to climate change and there’s not enough lithium that can be reasonably used for everyone to own electric. we could start by making the cars larger, to fit more people in. hook them up together, so that bumper to bumper traffic stops being an issue. place them on special roads designed for them, perhaps even include some sort of rail system that matches the gauge of the wheel rims to eliminate the need for tires and prevent them from spinning out of control…
oh wait we call those trains huh
youtube
2023-11-30T03:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | deontological |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[{"id":"ytc_UgzRPysWa0UbtWSpXz94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzecGT9CE_LG3XgC1R4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"fear"},
{"id":"ytc_UgxaAPl3V5erU3x6R2p4AaABAg","responsibility":"company","reasoning":"virtue","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwCfSFTYscuEAcoyKJ4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytc_Ugw7K3CABhp8JpUIDsZ4AaABAg","responsibility":"distributed","reasoning":"deontological","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwWqzrpML_luwAioZV4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyRSVpI70Yp_QV1b9N4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_UgxsPgY32VWZ2exRWwR4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxbhEORBnCuDVWR-zt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyD9kk2oGdBQOA_JqV4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"}]