Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
the robots have already taking over in some distribution centers cuz they have r…
ytc_UggSupTKx…
G
WTF does anything he did have to do with the one time he messed with AI?…
ytc_UgxExlz1a…
G
One good thing about ai is the lack of ego, no human would admit to lying especi…
ytc_UgzauWPQB…
G
Asimov gave humanity the hard rules to be programmed into AI. Humanity did not d…
ytc_UgzVb9zz4…
G
I always go for scientist style prompts because it appears to produce most accur…
ytc_Ugx682vXO…
G
@Phoenix3Fighteruh huh they use water to cool down the ai during photo generatin…
ytr_Ugwjk8SvN…
G
haha, i draw on paper, digitally and do AI, yk how it is - Gotta catch ´em all 🙏…
ytc_Ugwv9600P…
G
It's stupid to sit and argue with Chatgpt.. it's a good indicator that you don't…
ytc_UgyNP3YKw…
Comment
Humans are dangerous, and we regulate them. We can really skip the ASI killing everyone part and just look at this from a power dynamic: How do we keep the superhero from doing supervillain things? And please stop using the "bad actor" stuff, because you're not talking about ASI (just the kind of tools we already have today). edit: Dean makes a valid (and I would say, very likely) point about big tech running to big gov to help them remain at the top of the tech tree when someone outside their influence builds the human-level AI first (probably by saying the economy will collapse if daddy gov doesn't steal the tech for them to "properly manage"). edit: ugh... instead of regulation no one knows how to draft, why not focus on the yadda yadda yadda part where something is created, and days later Earth is a ghost town. Nukes and gain of function research are at the top of the most likely to kill lots of humans list, so show me how software running on my computer is going to rocket past those risks.
youtube
2025-11-21T06:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | user |
| Reasoning | deontological |
| Policy | liability |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgwT7kNtEnbroo-TmBN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgyxY8jTl7gVshqg3hl4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"industry_self","emotion":"indifference"},
{"id":"ytc_UgwZtlYjAycs5EqT-l94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxDyyFdGwGKiYxLHth4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_UgyLpLxuZqp_nffct6J4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugx7TKkEn1s5CnUk4D94AaABAg","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"indifference"},
{"id":"ytc_UgwEi5TIp-1mMNTfe4l4AaABAg","responsibility":"none","reasoning":"mixed","policy":"regulate","emotion":"indifference"},
{"id":"ytc_UgxsN7wp7gCzc5-vked4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwV5WUhEIWthwExu8B4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzRnrgd51O3nE2NBGx4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}
]