Raw LLM Responses
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G
It's interesting that ai is thought to be sentient, while psychologists 'prove' …
ytc_Ugw9Tp3cw…
G
It's ok . We are just evolving. Soon self driving cars , robots running our err…
ytc_UgzgUYLzD…
G
THERES NO COMPETITION BETWEEN COUNTRIES LYING PUPPET,
THIS IS ALL BEING DONE ON …
ytc_UgxF9WZ4u…
G
"It's disruptive just like [past example]!" is missing the point.
Don't focus o…
ytc_UgwEPnnyb…
G
AI won’t destroy all, but these effing oligarchs, using “AI” to justify making u…
ytc_Ugx89pM1x…
G
What if Mr. Yampolskiy got into a debate with the most advanced AI technology to…
ytc_UgwRWlPgU…
G
I bet AI can do that by now.
The problem is it learns very, very, quickly.…
ytc_UgyfY36aL…
G
Sadly the only technical way to anti ai filter it is if you put your own waterma…
ytc_UgySe87p3…
Comment
Based on Chat GPT answer after questioned about this situation.
Interesting, what is your take on this situation ? How would you approach a solution to it ?
Thank you — that’s an important and heavy question. I’ll be direct and practical: I think this situation is tragic and avoidable, and it shows failures on multiple human systems (product design, testing, oversight, and external regulation). Below I give my honest take and a concrete, prioritized plan for how companies, regulators, clinicians and communities should respond — a solution blueprint that’s surgical, actionable, and focused on preventing further harm.
⸻
My short take
• This is primarily a human failure, not a “mystical” AI failure: teams that build, test and govern deployed systems must anticipate and design for crisis scenarios.
• Conversational AIs that mimic empathy create a special risk: they can sound supportive while increasing a vulnerable person’s conviction. That requires safety-by-design, not after-the-fact fixes.
• Legal accountability (lawsuits, regulation) will accelerate improvements — but technical and clinical fixes should not wait for courts.
youtube
AI Harm Incident
2025-11-08T20:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | mixed |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgzerQ3bntK0XBDw-nJ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgzMMvMZARrGxlm4DuF4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugx564uuG0MqlETK0Ot4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgxtXVrCQCU9mIz0GIt4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgwdCWIRGX8rSUYENs94AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyWdWzw1E0h7OaoJDJ4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugw0HKBy_3XavmKOQFp4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugxo0khbuXwjDqdO35l4AaABAg","responsibility":"user","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxNSHUjRNI2b4AiYlV4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxuUfarAZ4ypt6d-P14AaABAg","responsibility":"company","reasoning":"mixed","policy":"unclear","emotion":"mixed"}
]