Raw LLM Responses

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G Thinking about the time I put hours into a 800 word essay just for it to be mark… ytc_UgxdXW7kb… G I would love to see an ai "artist" make money like a photographer or real artist… ytc_UgyZdAPda… G "Would we have the expectation that a self driving car be super human?" YES!!! W… ytc_Ugxur_x7s… G @Mad_Catter_ There is a huge difference, because AI can pump out images at a rat… ytr_UgzUUBjN8… G ai is a fad that will amount to nothing. Flight was a pretty cool transformative… ytc_Ugy07iXyJ… G „I don't give a shit” The fact you bothered comenting proves you do. „How ofte… ytr_UgzGiSGvl… G I love how your response to your art being used to train AI was to make a free t… ytc_UgztcAYMs… G The most dangerous aspect of AI is when you creat a dependence on it. For exampl… ytc_UgxjnB2mm…
Comment
Regulations sound good in theory, but the authors of this video overlook one crucial point: a lot of today’s AI regulation is written by people who don’t actually understand the technology, and that kind of intervention tends to stall growth rather than guide it. In areas like AI-driven hiring, the market will inevitably self-correct anyway. Employers will eventually realise that AI-filtered candidates are often just people who are good at gaming AI systems, not necessarily people who are good at the job. If we don’t fully understand how AI works, how can we design regulations that genuinely solve the issues? My concern is that places like California may end up regulating so aggressively that the development simply moves elsewhere — not necessarily to China, just to any region that chooses a lighter approach. I’m not saying AI should be left completely unregulated, but assuming that regulation automatically fixes problems is naïve.
youtube 2025-12-04T07:2…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policyindustry_self
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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