Raw LLM Responses

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G The AI said whatever is proved by histoty skills and daily news. Yes we need to … ytc_UgzJbTdc6… G AI generators are the RL equivalent of the time-stealing men from Momo (also kno… ytc_Ugz2fS2RH… G Right on the point, I literally pretty positive about AI art and think that this… ytc_UgxTfcKSI… G They never sleep, eat, complain, get ill, tierd . No emotion, morals, compassion… ytc_Ugw2sHfJ-… G Nothing wrong with using AI to write if it’s your own idea, scene by scene chapt… ytr_UgwGAtJ4L… G In a computer science project, a then classmate that was in my group was overly … ytr_UgxrfxyHf… G Exactly, this person left out the fact that this isn't a post by Hoyo, it's just… ytr_UgyUBVrVG… G So what's the reason again? "you've restricted what it can do"? What kind of rea… ytc_UgyOpYoRE…
Comment
The hallucination issue (circa 17%) will never really be solved at scale. In order to refine a RAG model to an acceptable low hallucination rate to need to narrow its scope, making it less general by definition, making it less usable for questions not related to its training data. Statistically impossible for a large scale LLM to remove hallucinations because it is incapable of determining what is true, so effectively you'd need constant human in the loop hygiene of all 3 trillion data points. LLM's are at a dead end in terms of significant improvement from here.
youtube AI Responsibility 2025-12-15T16:3…
Coding Result
DimensionValue
Responsibilityai_itself
Reasoningconsequentialist
Policynone
Emotionresignation
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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