Raw LLM Responses

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G ​@thewannabecritic7490but if ai steals from humans, doesn't it stand to reason t… ytr_Ugz6auYuQ… G Notice how the whole video runs on fear: collapse, extinction, only 5 jobs left.… ytc_UgzSt7HNl… G 10:09 We need to get that part right first. AI or not. And we ain't doing too go… ytc_UgxW6MAcw… G If we are going to have AI just make sure that a). They don't get access to mili… ytc_UgzN2SDs4… G ChatGPT isn't capable of evil. It doesn't think. it doesn't understand. It remix… ytc_UgxLoA5eV… G The A.I. will take over you land as it will need more resources, more than human… ytr_UgzheZOnp… G Thank you for sharing your thoughts! In the video, we explore the interaction be… ytr_UgyNwHXqN… G @REE-ANIM The resources the AI is using is mostly all stolen, so if you watched … ytr_UgytOalwz…
Comment
Restricted ability to _meaningfully_ extrapolate is not only true of current _popular_ A.I. (= LLMs + Models), it also varies across types of people (nature, philosophy, culture, knowledge, training, experience). Some of the utterances of tricksters equally fall under the "hallucination" definition (as applied to LLMs). Additionally, what counts as "ability" – human or machine or combinations of both – can be context-dependent, its metric-factors varying in balance between rationality, reliability and timeliness, themselves varying upon the balance between knowledge and experience. A unified system of cybernetic capability categorisation and study is required.
youtube 2025-12-26T13:5…
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policyunclear
Emotionmixed
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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