Raw LLM Responses

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G The big beautiful bill keeps AI federally regulated instead of states. Imagine C… ytc_UgyXad6Hq… G We appreciate your feedback. If you have specific content or topics you'd like t… ytr_UgxeRo2r3… G How much computing and electrical power would you need to replace most employees… ytc_UgwenyBpZ… G A man ignored half the stuff the AI said, took AI for truth despite the warning,… ytc_Ugy9hiLOf… G Also I refuse to pay for ANYTHING MADE WITH GEN AI, cus ain't no way. You want m… ytr_UgztQKrrJ… G Veo 3 debería ser una herramienta solo para fines pues de otros tipos, pruebas y… ytc_Ugz_GjBus… G Former OpenAI researcher and whistleblower Suchir Balaji was found dead in his S… ytc_UgwyEkUKk… G @MASKEDB 1. Stop mocking Bob Ross. 2. Please, you did throw your towel. You thre… ytr_Ugz7xZLIq…
Comment
To me, the likely hard-coded blocks and warnings are not the interesting aspect. What I find fascinating is the biased responses of the LLM. Like others here I suspect the bias is a reflection of contemporary Western culture. However, I see significant value if future AIs could acknowledge this bias, reason out its source, check its validity, and use the results to educate. This is, after all, essentially what you do in your great videos. "Correcting" the bias out of the code is akin to ignoring the root problem. <Edit to correct mismatched tense>
youtube AI Bias 2025-05-22T05:0… ♥ 2
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningmixed
Policynone
Emotionmixed
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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