Raw LLM Responses

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G There's a term called "Google Amnesia " which refers to what happens when you g… ytc_UgzrGRtGA… G Another big problem with it is that ChatGPT will say anything to please you ba… ytc_Ugx004pTr… G Can we pause AI, for like 5 years? Until we get safer precautions? Because thes… ytc_Ugxj2I9id… G I think many of you are not thinking about this without pride involved. There … ytr_Ugwojlno3… G Only one thing is needed now to create perfect robot capable of human intelligen… ytc_UgzzDtUbe… G Don't forget that the AI model can only create meaningful output if there alread… ytc_UgwbSvAnZ… G I've never saw people going into a therapist and getting better. Ironically, the… ytr_UgyZ2NVHz… G what happens in the cloud when it rains,could a i resist the urge to discipline … ytc_Ugw4aw0LK…
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"})