Raw LLM Responses
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G
The solution would be to learn how to use AI. Why is this obvious to me but not …
ytc_UgybrV1i5…
G
@dharshanaratnayake Among the boons of AI, is the exposure of this hollow, pseu…
ytr_UgyYawB6i…
G
same happened with a female friend of mine so this guy was a total wierdo she re…
ytc_UgwM2K0lk…
G
While self driving cars are better then human drivers, that’s only when a human …
ytc_Ugycf2_Ia…
G
South Africa wanted the PR of signing the treaty but not the obligations that co…
rdc_js0433w
G
Minorities have less well known morbidity and pathophysiology compared to the ma…
ytc_UgyQgfthY…
G
I would believe that this is artistic social commentary. I would also believe th…
ytc_Ugw1qNItx…
G
Facial recognition software isn't perfect but it does work. If the manager was m…
rdc_oi1oudz
Comment
OMG, do you know how LLMs work, don't you? Don't mistake "I" in LLMs generated text. There's no "I" in LLM and I'm dead serious. It's not a human being. One of the key differences is - it does not learn from conversations. AT ALL. So talking with a LLM with 2 different sessions is like talking with 2 different bots. They do not share ANY information. The only way it feels like the bot listens to you and TAKES informations you give to it - it's the context - the very text of your conversation. On each exchange it's processed entirely from the start, from the first line of the conversation. What the LLM bot does is it completes the conversation, like writing an essay. The most important factor of doing so is consistency. As you write HALF of the context - you can practically build anything you want. It's always a bit of a role play. The bot has no concept of reality. And the core of the role playing is building fiction, non-reality. It's obvious for beings like humans that can generally easily tell fiction from reality. It's not that easy for LLMs. So - natural stupidity plus artificial intelligence lead to accidents and more Darwin awards.
youtube
AI Harm Incident
2025-11-25T14:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | ai_itself |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_UgwOZ6ocahKU33bQvMd4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgxjJW3etXPRa8H1plx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgwyIhsD0TrwefD_qR54AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxOFr7Xmhya4pCC7Zh4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugxnz_f3sFoB6hepDnp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytc_UgzA0RBlOJzEHbqpOUt4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwIvWsT4ko03aq_ma14AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx-LrofZnrGegOmvOt4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgxVHpOvISoutp078RR4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw4vMpaaK4MmYHkOuJ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}
]