Raw LLM Responses

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G ​@abigailrosales6873 Regardless of how easy theft is to prove, it still is theft… ytr_UgyteIZXL… G Because AI literally steals the art with no effort input, you learning how to dr… ytr_UgxedCknu… G Honestly, pushing the legality of not owning AI art is probably the only way tha… ytc_UgwNHgGwO… G The gap between control and capability can be solved IF these "smartest people i… ytc_UgwUt8F0s… G He didnt even ask the most important question... WHAT DOES AI SAFETY LOOK LIKE ?… ytc_Ugzxe0fAR… G But these two are largely different. Effective "robotic arms" have been around … ytr_UgyPHDnhi… G @joshuaadewale1409  well the evidence I see would be considered anecdotal. But m… ytr_UgzUldlsx… G I need to know this ai users username so I can teach them that it’s not talent… ytc_UgxUATvtF…
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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