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G I remember a lot of coworkers getting mad at me for using photoshop when they we… ytc_UgzFgnq_O… G I agree with almost EVERYTHING in this video. I wanted to add that art was used … ytc_UgxYiy0cN… G Contrarian view: AI will rise wages, not make labor cheaper. As it happened with… ytc_UgwZ2xy_p… G **SPOILERS FOR HOW THIS PROBLEM WILL BE SOLVED:** "oops sorry didn't mean to br… rdc_g14alid G Ai is clearly unethical. Just fine the companies trillions of dollars, fine the … ytc_UgynDHaoM… G One, nobody serious does that. Two, AI artists don't exist, unless you're counti… ytr_Ugzs-kNTw… G I'm a handyman and a farmer. there are many things that concern me about AI, b… ytc_Ugx5uv4To… G ...you know most people who use generative ai don't just give a 15 word prompt a… ytc_UgwwQChUk…

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