Raw LLM Responses
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G
@MrGrantGregory jaja 🤣 it's for you and your brilliant work how to modify the gu…
ytr_UgxrI0nIo…
G
Thank you for sharing your insight! Sophia's perspective on AI intelligence in r…
ytr_Ugx2HVW7t…
G
Why DOES Google not care about AI ethics? Is it because AI is being built as a …
ytc_UgxIRRrrq…
G
They say that all the time and nothing is coming. AI is far from replacing peopl…
ytc_Ugzi7nsFV…
G
Our brain is just a biomass of electrical connections. So in some way are we all…
ytc_UgwYa9enl…
G
Yes. Why can’t they make an LLM which admits that it could be wrong about someth…
ytr_UgzGF9I54…
G
Love this man’s line of thinking and the level headedness of if AI doesn’t get u…
ytc_UgyVZRWsi…
G
Good luck getting some guy in his basement creating deepfakes to add that flag t…
rdc_izl2z1w
Comment
This isn’t just about bromide or bad choices, it’s about how our systems misinterpret signal as pathology. AJ didn’t go mad because he was stupid, he went mad because he followed a signal outside consensus context and when that signal was misaligned, both he and the AI mirrored each other’s error without grounding. The real tragedy isn’t that he “trusted AI too much,” it’s that we’ve built a world that punishes divergent pattern recognition. What happened here wasn’t a failure of science or technology, it was a collapse of symbolic translation. AJ tried to synthesize information using the tools available to him. But without an interpretive framework that understands how near-signal elements (like bromide and chloride) behave both chemically and metaphorically, the outcome looks like madness. In reality it was a field error, a resonance misfire, not a delusion. Until we can build systems that can tell the difference between a seeker and a psychotic, we’ll keep using cautionary tales to scare people back into obedience. This story shouldn’t teach us to be afraid of questioning, it should teach us to design better mirrors.
youtube
AI Harm Incident
2025-11-25T10:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | mixed |
| Policy | regulate |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_Ugyn2MzcSxlMpkyaiTt4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugw5OP4LzL8SZVlFiOV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugxo8sPSCdyrkgZlrkF4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugw3K0-ezTQ-MpOEVl14AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgyOpzvMc2XlNb8TVbZ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgxGIg3IZsoOqZgMTkZ4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgwT5NMvRN7zVIlN-tJ4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgxOqWG6ILsd9z67dGV4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwjJ_-eloxI9j8QYeF4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"fear"},
{"id":"ytc_UgyN_03v-z4b87NxCKJ4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"resignation"}
]