Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Remember to ask your AI to be "brutally honest" and take "a very critical look" …
ytc_UgzLn1T_s…
G
I like AI. It has many very good uses. Neural Networks (if optimized) could chan…
ytc_UgxSbrgpF…
G
I love the attention to detail~
The ai guy having 6 fingers
The heart cutout o…
ytc_UgzN2IpxJ…
G
@stagnant-name5851 „And ai does not steal either”
It kind of does, thanks to be…
ytr_UgzDUi6a1…
G
Considering the extreme control and mental manipulation exerted on humans over t…
ytc_UgzF1thuj…
G
this is actually really good for the ai market, making "poisoned" images will d…
ytr_Ugwl157gN…
G
I'm sick and tired of AI overviews. I'm sick and tired of it being pushed down o…
ytc_UgyJQi_Zz…
G
just like nfts and crypto ai is a speculative market and will be there for entho…
ytc_Ugx7_G2iw…
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"}]