Raw LLM Responses

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G @jz18db2z20 Im not targeting the writers i meant the fake artists like they use … ytr_UgxpgcSry… G Robots are terrifying to me. Ever since seeing the film "I, Robot.". Poor Regina… ytc_Ugy0vEKH3… G The point of any business is to make money. The only way to protect our jobs is … ytc_UgyfGANEh… G and if super intelligent will be also super spiritual intelligence and will help… ytc_UgxurVSGV… G It's machine learning, it only does what you allow it too. If you teach it, then… ytc_Ugw2bBWD7… G But then those high salaries will shift from programmers towards AI Engineers? A… ytc_UgwLwhdWy… G Ive seen your search history😮 Ive seen your youtube library😐 Ive seen your chara… ytc_UgxmgIpHi… G I am just incredibly shocked that the masses show their real scummy face on the … ytc_Ugz-r09HX…
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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