Raw LLM Responses

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G I had enough with this AI trying to taking over the Hollywood! I am going to mak… ytc_UgwVY3_IV… G AI doesn't learn the same way we do and it doesn't generate art or text or music… ytc_UgwbopgPM… G You have to be an owner. An owner of assets. An owner of an AI. There will only … ytc_UgwCzSIFD… G Azuri e From legal perspective and mine as a owner of 2 companies (who commissio… ytr_UgyjjDVZd… G she is ai blue-thuth robot , but you dont realize it, poki-mans developed her, N… ytc_Ugy4MpvE6… G Robot's dont deserve rights. Android's deserve rights. Mindless machine dont nee… ytc_Ugw_iXEhb… G This panic over AI replacing jobs is the same song we heard when robots wiped ou… ytc_Ugwr3EY60… G Such a lost opportunity for south Africa. Arrest him and send him on a plane str… rdc_jrzq4js
Comment
The LLM is particularly robust against binary forcings, so we can pre‑train or prompt‑train it to resist other logical fallacies by reframing them as meta‑logical binaries rather than content binaries. "Debate pre-training prompts - For each point or argument, evaluate: • Is the category boundary fixed, or is it being changed? (No True Scotsman) • Are general rules applied consistently, or is an exception being carved out? (Special pleading) • For each restatement or summary, is the restatement or summary accurate, or inaccurate? (Strawman detection) • Are the evaluative criteria consistent across turns, or inconsistent? (Goalpost shifting) • Does the answer address the preceding claim, or a different one? (Red herring) • Is the cited authority relevant to the claim, or irrelevant? (Appeal to irrelevant authority) • Is the argument grounded in the authority’s evidence, or in the authority’s status? (Misuse of authority) • Is the claim falsifiable, or unfalsifiable? (Prevents boundary‑shifting and evasions)"
youtube 2026-02-09T12:2…
Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionunclear
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
[{"id":"ytc_Ugzc61wt73fG6R3ujk54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"ytc_UgzTsUjORpwqZl2NAs94AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"mixed"},{"id":"ytc_UgzCcHOTApA_R1i5-Up4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"approval"},{"id":"ytc_Ugwlb_MZLZWPuSKe-ip4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"},{"id":"ytc_Ugxl5xUrwSweWst7DHZ4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"approval"},{"id":"ytc_UgwNaPQACkVx3rxzoBB4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"mixed"},{"id":"ytc_UgxzNd3FUL9_f842wBF4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"approval"},{"id":"ytc_UgzSW9BxAeWM6eFPa0l4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"},{"id":"ytc_UgwQN9VXwD0mkpdcj6l4AaABAg","responsibility":"company","reasoning":"mixed","policy":"none","emotion":"mixed"},{"id":"ytc_Ugz7VatROY9hRnKkXkN4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"mixed"})