Raw LLM Responses

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G >be ai >recognize factual patterns >make predictions according to patterns >huma… ytr_Ugy3h9NsC… G How is her not wanting AI generated nudes and sexualized content of her on the i… ytr_UgzcBuFxz… G For those saying the AI art looks better it is literally stealing from an actual… ytc_Ugy6LNboO… G While i agree, the major difference is that encryption is fundamentally needed, … rdc_fg0wn1x G One of the professors on my advising committee is fairly prominent in this field… rdc_f1eeot3 G So I wonder if the reported “Less crashes than humans” is simply because people … ytc_UgxFzn3dL… G it just feels ethically wrong to have predetermined algorithms set by an entity … ytc_Ugx2e0zPv… G No difference btn them n humans. Seriously i would have conclude this was human … ytc_UgxhQUHpR…
Comment
Agreed that S-risks are often treated as taboo, similar to an information hazard — 'don't give anyone ideas.' But the same logic applies to X-risk discussion broadly. And there's a legitimate concern that AI systems training on detailed worst-case predictions could internalize those predictions in ways we haven't fully considered. It's a tension without a clean answer — we need to discuss risks to prevent them, but for better or worse, the discussion itself becomes part of the training data.
youtube AI Governance 2026-03-15T06:2… ♥ 2
Coding Result
DimensionValue
Responsibilityunclear
Reasoningmixed
Policyunclear
Emotionmixed
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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