Raw LLM Responses
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Autonomous AI agents will act as superhuman shoppers, being able to shop 24/7, w…
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Maybe by "artificial intelligence" they meant humans that aren't very smart but …
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Ai sucks but i have good news artists!
So you know how ai takes images off the …
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Thank you for your comment! We're glad you enjoyed the video. If you're interest…
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Ai never gonna take jobs .. instead it will reduce the human need . Instead of 4…
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Thing is those in Kitboga's videos were actual scammers. Difference is these guy…
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I like to think im decent at art now but like I tell everyone art is actually 1 …
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Same here - 55 yo, physics + MBA, our consulting company folded after 26 years w…
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Comment
before dropping my comment here who I am, I m a software engineer and a neural network engineer for 6 years now. so this is true, we develop most of the machine learning models like image detection and pattern detections but AI like chatGPT trained on 1.24T (trillions) amount of data so it can be anything but when it's come to a LLM (large language model) developers finetune them and put some rules on the main core so developers can manipulate the model as they want. for example chatGPT and gemini is more friendly while Grok is more flirty. but if we run the model without any finetunning or without any rules, now that's the situation comes upside down. for example in chatGPT they check before the model response is it nsfw content or not. it's on the core and that's why people can't brake it but sometimes some people manage to do that. in theory is if we run a model without that rules layer. it can be anything, and that's dark
youtube
AI Moral Status
2026-01-22T10:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[{"id":"ytc_UgyJxTwvrk_nnq0f7Mt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytc_UgyPsc7-l4MCpx2ymat4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"industry_self","emotion":"indifference"},
{"id":"ytc_Ugz7kz8dlw42wbRQ5S14AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgwGOADygqc8L-qMl7V4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwMpC-PZBZT5mwpjoB4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzJ190IKZpLvLWLSWt4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgzZiuw259EEA7ds75t4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwNWwI7cOdQ1iHG6id4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw1hJ65iKsTegvcJHd4AaABAg","responsibility":"user","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugww5RPRSXwetYx74Kd4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"}]