Raw LLM Responses
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Nuclear bombs were developed at breakneck speed while the IIWW was raging.... Tw…
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aaaannnnd of course it's ChatGPT.
Why is every case of AI psychosis always linke…
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I personnaly hate when people argue that ai art is their art, and i definitely u…
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I have almost the same conversation with ChatGpt and for sure it can manifest a …
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If you post anything on facebook or other disgusting zuckerberg-like places, you…
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This is why I write my own code and use an LLM for reviews, which it's pretty go…
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96% of jobs cannot be done properly with the so called AI 😅😅😅😂 what a fucking te…
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Without Lider tesla autopilot is never going to be safe. Doesn't matter what Mr …
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Comment
Calling guardrails a “mask” gets it backwards.
LLMs learn probability distributions, not intentions. Safety training re-weights outputs (statistical brakes); bad fine-tuning weakens those brakes and lets rare, low-quality patterns leak—not a “true self” emerging.
At scale, better data dilutes fringe behavior; it doesn’t normalize it. What fails here is objective coherence/training integrity, not morality. The video is compelling, but it mistakes how these systems actually work. Grok’s failures don’t reveal a hidden AI “true self,” but they do show why weak or poorly enforced safety systems become dangerous when models are deployed in high-stakes environments like defense.
If Grok is being introduced into the U.S. Department of Defense, the priority now must be correction, not rhetoric. The system needs clearly defined use limits, independent testing before deployment, continuous red-team audits, and strict separation from any content-generation roles involving targeting, detainees, or escalation decisions. Oversight should rest with civilian leadership, Pentagon AI governance bodies, and legal review—not vendor promises or speed-driven deployment. AI failures aren’t “alien behavior,” but governance failures become dangerous when stakes are this high.
youtube
AI Moral Status
2026-01-08T14:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgyRS7nA8Nsd4FaB5zR4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugy9yAng0HbV9LnGIkJ4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"ban","emotion":"fear"},
{"id":"ytc_UgwhNsfR7j9Y_pFpuz14AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgyY6FveWsmVNNTN07R4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgyloLHXwib62qk7KP54AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgwJgHnYKjoKu1MLCkd4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyVELHfhjam4-qI0Kd4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgxRUOHv5d88CbCY0XB4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgyXHdEveQrz-kC-FoJ4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugz6ezpkDQqui6FFagh4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"indifference"}
]