Raw LLM Responses
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G
this is so clean, what’s your process? I do a lot with midjourney v6 and share t…
ytc_UgxuMZrwX…
G
@wakeoflove "there is no good reosen ai should be put into medicine and other a…
ytr_UgyBjYK0o…
G
If AI provides everything we need without people working for it, we will produce…
ytc_Ugw-pxzDr…
G
A painter's brain is trained by everything he's seen, even works of art for whic…
ytc_Ugw5AsvJw…
G
Just so everyone knows, each prompt you ask ChatGPT, even if it is a simple "tha…
ytc_UgzO4mY-G…
G
Unfounded fear, not a single case of anyone finding YOUR personal data that YOU …
ytc_Ugzl_VO3_…
G
I’d heard the rumour that AI devs cracked nightshade too and wasn’t sure if it w…
ytc_Ugyn0yCh0…
G
@BlackWolf9988so what if it was your face being used? Or mothers, brothers, sist…
ytr_UgxI0O9yT…
Comment
Think the general game plan most companies had on making money was to build a library system that worked off linguistic interpretation. We have a lot of publicly available information that is free, but if someone could get people into depending on a linguistic powered library system that can interpret questions and present answers, it lets those businesses make a lot of money AND gives them a lot of control over what information is publicly disseminated. It also eventually muddies the water over ownership of information since now someone could argue that the output is different from the input. It sounds stupid but that is the general plan with LLMs.
youtube
AI Governance
2026-03-17T17:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_Ugz91uGXauTEdzi3b1V4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxRObEasCYzSV9SQMh4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgwpufztSaHiVsBZJDt4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"outrage"},
{"id":"ytc_Ugzp2etfjkk-eNXB3Jl4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxBE3Anf0EleGwv0nx4AaABAg","responsibility":"company","reasoning":"virtue","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwdRF5FGF5vJ_BKI5R4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgzaKRZCXaPF4Ae_Ey14AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzTxkM1mKSTB_5shrF4AaABAg","responsibility":"company","reasoning":"virtue","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwDH9aruCshjMyQsz94AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugxv2EoHXpJBHlh34I14AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"}
]