Raw LLM Responses

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G I've said this for years. Within 5-10 years deepfakes will be so common and so … ytc_Ugz8m_wep… G All it takes is an ai engineer to edit the ai's programs, to pretend to be contr… ytc_Ugw6_r6h9… G Great insights here, but was confused at the end when Hinton was asked about his… ytc_Ugwmrm_v7… G The fact that anyone trusts AI with anything is still bonkers to me. I know I'm … ytc_UgxoR5Leg… G @hacchungCan’t wait to see your job and hobbies replaced by AI ❤ Enjoy a life of… ytr_UgwYIfW0X… G That's what I'm wondering. ChatGPT does agree on a lot of things but usually wit… ytr_Ugx3N2jaW… G It’s not AI. You spent your college years being an activist and a professional a… ytc_UgxPHkOli… G It isn't ai that I'm inherently afraid of, it's the owning class who are going t… ytc_UgwRKoS2r…
Comment
There is a genuine misunderstanding about LLMs: they are trained rather than learning in any real sense. While the industry is attempting to bridge the gap with new Reasoning Models that simulate System 2 thinking through chain of thought processing, they remain fundamentally stuck. These models are essentially complex Python based predictive engines that rely on static training and massive compute rather than actual real time adaptation or logical reasoning. They are simulating a thought process rather than truly thinking, and they remain trapped by the massive energy and compute requirements that prevent them from achieving genuine intelligence.
youtube AI Moral Status 2026-03-06T09:4… ♥ 4
Coding Result
DimensionValue
Responsibilitycompany
Reasoningconsequentialist
Policyunclear
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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