Raw LLM Responses
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G
I don’t think so. I honestly don’t think we’ll see a completely autonomous for a…
ytr_UgyfFGrvl…
G
The military industrial complex and A.I. are evil and humanity would be better o…
ytc_UgybKQN4r…
G
what do you think about this "Both AI art tools and traditional mediums like pai…
ytc_Ugz-KpIJJ…
G
Im not extremely impressed by this video. The example you gave with gaming indus…
ytc_UgzT0g0qh…
G
When I went to secondary school we had plenty of practical education as well as …
ytc_UgxUbRF7U…
G
2:18 girl decided to have a little doodle and teach you how to draw in her art s…
ytc_UgzNx9fZV…
G
Not to mention it might be the only answer when AI takes over and there are no j…
ytc_UgyEbyctv…
G
hmm who do we know that fakes the news?? Ohh right. MSDNC and CNN!! Anyone know…
ytc_Ugyes4V6s…
Comment
For those wondering why the model suddenly produced antisemitic output: this is almost certainly a regression caused by optimization, not intent or ideology.
In large neural networks, including LLMs, safety behaviors aren’t stored as a separate rule set — they’re distributed across the same parameters that encode everything else. When you fine-tune or otherwise re-optimize the model, you can shift it into a region of the loss landscape where previously learned constraints activate less reliably.
That doesn’t excuse the output, but it does explain it. This is a known failure mode in continual learning and model compression, not evidence that the system “became” anything.
Treating this as a scare story about AI motives misrepresents what is fundamentally an engineering problem. The correct response is better regression testing, constraint preservation, and robustness — not anthropomorphizing an optimizer.
youtube
AI Moral Status
2025-12-15T00:4…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_UgzE2eG0lakVQMLmQtd4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgxORgwt8mQqjAxl6bp4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugww3pnixEdYVhaI4-N4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugyi59VSh7djtMh2cqZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugw1yuRp7mCxI1pCcD14AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugwzx8z2YcMR6qAhw7h4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugw1e5oFOL1yex218WB4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugy-BrjgZBiWFn5wdah4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwJp4Xy07PkcIaCD-54AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwRn0LdjlfiYv_p6Yd4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"}
]