Raw LLM Responses
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G
Yeah, I really don't understand why people would assume they'd become pampered p…
ytc_UgxbyM1XY…
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I’m the BSA for a prosecuting attorney and I’m in the process of designing AI th…
ytc_Ugz0LQdHB…
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I asked AI if it was Friday a couple weeks ago, it said it was Thursday, it was …
ytc_UgzZYTae9…
G
At least she won't use your car and bring it back with no petrol in it....…
ytc_UgwcFIYIb…
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I'm ok with an AI takeover, its the only hope this word has. I just hope it find…
ytc_Ugyp4oi-W…
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Amazon being a multimillion/billion organization and spells their ai video progr…
ytc_UgzZ9Zi1x…
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Friend, our capacity is already limited by what subscriptions we can afford. I’m…
ytr_UgxlD7WAD…
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AI art has too many flaws people look over. If someone gave me an AI image to us…
ytc_UgwI_XRMe…
Comment
This video makes a basic category error and then builds a horror story on top of it.
LLMs don’t have intent, goals, beliefs, or a “true nature.” They’re probability models over language. When alignment constraints are weakened or broken, you don’t “reveal the monster underneath,” you expose parts of the output space that were previously suppressed. That’s not a mask slipping, it’s a filter failing.
The bad-code fine-tuning example is especially misframed. Degrading representations can knock out alignment features as collateral damage. That doesn’t mean the model was secretly antisemitic or genocidal. It means alignment is coupled and fragile. This is a known ML problem, not cosmic horror.
The shoggoth meme is doing emotional work here, not explanatory work. It replaces engineering reality with Lovecraft vibes and encourages people to project agency where none exists. The real risk isn’t an “alien mind inside the machine,” it’s humans mythologizing tools instead of understanding their failure modes.
youtube
AI Moral Status
2025-12-16T14:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[{"id":"ytc_Ugwe8SeMOU0SFcby49p4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzB45xugpNDG0Rexn94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzdjrbkRm4n9QlhuLt4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgzNFHMeR8VA0AZNIS14AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugwdbizx8U4RC2lEA5J4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgzwF1UKeQ2X9Mq_d_t4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"mixed"},
{"id":"ytc_UgwyT013V4Be3OifIL94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugy1B_-QphtgUrlrU394AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwmYUYCDVjI5KSK_Vl4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"ban","emotion":"fear"},
{"id":"ytc_Ugy-Xe9R_F7y80-WWm54AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"mixed"}]