Raw LLM Responses

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G AI is data entry. Targeting all people colored dark in the Americas is preposter… ytc_UgyjUQK0U… G Assuming you (and many leading tech experts) are right; AI will take over when i… ytc_UgyqU_aP6… G doesnt exactly make sense i guess? ai could explain and also tell you the story … ytc_UgxeQQ94W… G This video is biased. I use AI to write code and I have 0 code training, this ha… ytc_Ugx3FHZAN… G I want my exact idea done for free because I am poor and I will tell the AI arti… ytc_UgyS6dkkT… G The so-called """friend""" could've used literally ANY free-to-use adopt-ready b… ytc_UgyUzmhpe… G this is just the tip of the weird going on with AI people are trying marry chat … ytc_Ugz5WYZ7Z… G Not within our lifetime. It'll take 50-100 years for this thing to be anything o… ytc_Ugyvif_xn…
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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