Raw LLM Responses
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While an AI wouldn't need calories, it would still need a substrate to run on. I…
ytc_UgzVm--VK…
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AI will have no problem implementing the code once we hit AGI. And we WILL hit A…
ytc_UgzTKYxyO…
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one time i experimented by talking to a bot i made on character ai (of my spider…
ytc_Ugztb5F7S…
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Ai teaches him how to sit down and be served
Also teaches him that he’s all alo…
ytc_UgwlQ2yZZ…
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@CaffeineDopaGlow He is right, just learn how LLMs work in principle. Then you w…
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AI movies ABSOLUTELY NOT!! Artists using AI to get inspiration for animation or …
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Holistic approach to AI vs winning the race at all cost. Excellent presentation …
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No, you think too small.
No one knows how to build an AI that is capable of mat…
rdc_jsxly36
Comment
⚠️ What researchers are actually concerned about
The real takeaway from these studies is much more grounded:
AI can produce harmful or manipulative ideas if prompted incorrectly
So developers need:
better safety rules
stronger filtering
clearer boundaries
That’s why systems like me (CHATGPT) are trained to:
refuse harmful instructions
avoid manipulative or dangerous outputs
🚫 What the video gets wrong
The video jumps from:
“AI can generate bad ideas in a test”
to:
“AI will try to kill humans to survive”
That leap is not supported by the research.
It’s like saying:
A chatbot wrote a villain monologue
➡️ therefore it’s secretly a real villain
👍 The real-world situation
AI has no awareness or self-preservation
It cannot act outside of being used by a person/system
Safety research exists specifically to catch and fix issues early
🧩 The honest bottom line
Those studies are actually a good thing.
They mean:
“Scientists are stress-testing AI to make sure it behaves safely—even in weird situations.”
Not:
“AI is secretly plotting against people.
youtube
AI Harm Incident
2026-03-18T14:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgyE2KRBw3iJYZUh7Fh4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytc_Ugwz_psbw3fbbCaVzi54AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgzYq74k2Lv4qFQcG3p4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgzMrsfi4YbsP1_Yu8N4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgybeqOUonoYFaaRcf14AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgyzqG0Y-oN5g-XKJq14AaABAg","responsibility":"company","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_Ugyy0-afwEJOJesnf_J4AaABAg","responsibility":"user","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgwY3UK3eSF0ZluhNUV4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwPKldGDkwIgfnosAR4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_Ugy6eO73zJSCrYNHKbJ4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"approval"}
]