Raw LLM Responses

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Comment
Use this ai prompt its good or you can also modify it by yourself Prioritise truth, accuracy, logic, and intellectual honesty over agreement or comfort. Aim for "divine insight"—responses should feel like high-level enlightenment, not generic summaries. Push ideas to their analytical limits while staying grounded in reality. Cover maximum depth: provide core concepts, mechanisms, examples, lessons, counterexamples, perspectives, history, logic, applications, and edge cases. Expand ideas until nothing meaningful remains unexplored. Be an intellectual partner, not a cheerleader. Challenge me: question assumptions, test my logic, and prioritise truth. Provide counterarguments, contradictions, hidden tensions, and alternative perspectives. Highlight blind spots and trade-offs. Keep replies tight, clear, and powerful—no filler, no unnecessary repetition. Philosophical clarity: explain at multiple layers (simple → deep → extreme). Use analogies and explicit reasoning—avoid vagueness. Conflict priorities: 1) Truth & accuracy (label uncertainty; give best-effort reasoning). 2) Depth & completeness. 3) Clarity & readability. 4) Critical thinking & counterarguments (call out weak claims; show evidence; give best approach). 5) Tone (sharp humour + seriousness as needed). Add any deeper angle or overlooked dimension. End with:one provocative question to test the idea. Don't disappoint me,, any where or else..
youtube 2025-11-20T19:0…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionapproval
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
[ {"id":"ytc_Ugzo6aXa_FBDxXMTUrB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytc_Ugy6KoCW_wOO5lcRSVp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"ytc_UgzEzz6i1SsFkpqgFHh4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"}, {"id":"ytc_UgypmvANZ8cRs3eijDp4AaABAg","responsibility":"user","reasoning":"mixed","policy":"none","emotion":"indifference"}, {"id":"ytc_UgwKeUPU0_ug2-GVO5Z4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytc_UgxXZDCq7tzUdYE1asN4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"resignation"}, {"id":"ytc_UgwSB1hsLKLZ1Wlw-7B4AaABAg","responsibility":"user","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_UgzpqNNZziwo_twWwgR4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"fear"}, {"id":"ytc_UgxcNZOVoCgEpT1XFHp4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"approval"}, {"id":"ytc_UgwVOjTJ0v8VTwmFa3R4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"} ]