Raw LLM Responses

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G @mudasirdurrani1831 it's pretty diverse but a few big hitters: agriculture, inte… ytr_UgyPHMPWx… G What if AI decides to turn against the corrupt billionaires. If I was a corrupt … ytc_Ugwgcogt0… G AI doesn't work yet. Anyone can differenciate a video created by AI. Furthermore… ytc_Ugx3xTJgD… G Absolutely! Sophia is indeed a fascinating extension of AI capabilities. Her ins… ytr_UgwbTZ8TR… G Born with the ability to draw? What's this guy on? Becoming a professional paint… ytc_UgwBkYKfS… G We don't need self driving cars; it's a total fatal mistake by investors and our… ytc_Ugyj_FfJ0… G AI will never be able to replace humans even in my job that uses AI we can alrea… ytc_UgxYG2Bme… G I’ve never been able to get ChatGPT to give me these answers. FYI I went down th… ytc_UgxAprZ0_…
Comment
Restricted ability to _meaningfully_ extrapolate is not only true of current _popular_ A.I. (= LLMs + Models), it also varies across types of people (nature, philosophy, culture, knowledge, training, experience). Some of the utterances of tricksters equally fall under the "hallucination" definition (as applied to LLMs). Additionally, what counts as "ability" – human or machine or combinations of both – can be context-dependent, its metric-factors varying in balance between rationality, reliability and timeliness, themselves varying upon the balance between knowledge and experience. A unified system of cybernetic capability categorisation and study is required.
youtube 2025-12-26T13:5…
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policyunclear
Emotionmixed
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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