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G Maybe AI can stay on hold for hours for us too, and deal with complicated proces… ytc_Ugx2rupey… G “AI accidentally made me believe in a human soul, because it showed me what art … ytc_UgwONTnHI… G @SnowyKoneko 15 minutes everyday and get better? And when i get good? In 15 year… ytr_UgzJ-6De1… G After one lifetime in denial, three days ago i became SURE that one (i won't tel… ytc_UgzOJvG-q… G You need coal and nuclear to train ai. Even though Nvdia says they are researchi… ytc_UgxhuiTvV… G That's the problem. Assuming that the data sets are biased is itself a potential… ytr_Ugwh3Ku74… G Generative AI is completely useless. They should stick to medical applications a… ytc_UgydMaLTS… G The only people who are going to be replaced are the ones that are failing to ad… ytr_Ugw7JAKOU…

Comment

OpenAI’s March 2025 proposal, submitted as part of the Trump administration’s AI Action Plan, argues that AI training on copyrighted material (e.g., books, novels) should be considered “fair use” under U.S. copyright law, eliminating the need for explicit author permission or compensation. If legalized—via executive action (e.g., an order by 2026) or Congressional amendment to the Copyright Act of 1976, authors would lose control over whether their works are used for AI training. Unlike the EU, where rights holders can opt out (per OpenAI’s critique in its proposal), a U.S. fair use policy would not require consent or royalties, AI companies could legally scrape and use copyrighted books for training without seeking author approval, as long as the use is deemed “transformative” (i.e., the AI generates new outputs rather than reproducing the original text verbatim).

youtube 2025-07-05T22:1… ♥ 5

Coding Result

Dimension	Value
Responsibility	company
Reasoning	consequentialist
Policy	regulate
Emotion	indifference
Coded at	2026-04-26T23:09:12.988011

Raw LLM Response

[
{"id":"ytc_UgyfU_lUAXZ3WA7yXYx4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"indifference"},
{"id":"ytc_UgyuSjEWbOSl-E3GCZ54AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxKAYggBCKivx6Itap4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugx9Vwl-b9A-tg639lJ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwZkeHX0dg97Dy5x3l4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugwu80lwTcCGuiaOBH14AaABAg","responsibility":"user","reasoning":"mixed","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_UgykUukBwkcqXNMWhg14AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_Ugyrb2fZOj3DsD_Akwp4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyM1Xgf8gTgOSJzLwN4AaABAg","responsibility":"user","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgyDXzHKxQ1h555QCfh4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"}
]

Raw LLM Responses