You're lost in limbo with these arguments. It's just learning from data and generating from what's learned. It's backed by self-consistent engineering principles.
@alexjc
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Copyright Resolution and Artist Control in AI-Generated Content
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(Assuming the copyright issue is fixed…) If people buy the results are OK with that, or if the artists know how to control or correct it, I don't see any problem.
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Illusion versus Delusion: Technology’s Useful Appeal
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Whether it's illusion or delusion is a matter of perspective. ***lusion is useful in many ways, as shown by the millions of people who have flocked to the technology. Don't let your history with copyright cloud your judgment.
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Consistency and Measurability in Research Override Concerns
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It doesn't matter if it's delusion or hallucination. It works as long as it's shown to be consistent with the theory, and in this case it's measurable. Non-profit research is allowed worldwide even if the data is copyrighted.
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MP3 Files: Clarifying the Term Generated vs Generative
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Calling an MP3 *generative* though, is a bit misleading… Hence "generated".
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Generated vs Generative: Distinguishing Static Output from Interactive Code
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I vote for "Generated Music". It's only "generative music" (active verb) if you ship the generator and it's somehow interactive. Same for art, "Generated Art" vs. "Generative Art". The second implies you ship the code to the user IMHO.
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Clarifying AI and ML Investment Domains
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AI is much too broad a term to be able to understand what you mean here. There's lots of investment in ML solutions in certain domains. Could you clarify what kind of AI and what domain?
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Automated Thumbnails and Copyright: Expression Reproduction Issues
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I guess one argument would be that thumbnails generated by an automated process cannot themselves be copyrighted. Further, there's no proof the underlying expression was reproduced by the model.
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Self-regulation fails; ethical data sourcing businesses will emerge
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Self-regulation doesn't work in other industries and it won't here either. I expect new businesses will appear to provide such ethically-sourced data.
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Two Types of Copyright Infringement in AI Training and Generation
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There are two places where infringement can happen: (i) during training by using Copyrighted data & creating a derivative work; (ii) creating a piece that ends up, for some reason, infringing on another Copyrighted work. For (i) the ability to reproduce an image is important.