Raw LLM Responses
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G
I think the aura around this video greatly overestimates the impact. This is esp…
ytc_UgyIQJq2I…
G
first one, then the other.
Jill has a facebook account, uploads pictures that …
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G
Want to see it stop? Attach a criminal law that would apply to Waymo executives…
ytc_UgyHjk4TZ…
G
So many people in my school use ai the school made a system that is used to puni…
ytc_UgzL_toGf…
G
All it takes to understand modern LLMs can't become conscious is a basic underst…
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@wes7566 my guy. you do realize we don't need data centers for AI companies to s…
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G
yeah because they need their job to pay rent? Because they have a talent that so…
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G
Its just part of the programing, its not possible to be conciousness fully witho…
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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"}
]