Miguel Afonso Caetano on Nostr: nprofile1q…u5u70 Sorry, I don't agree with that. There are lots of good reasons for ...
nprofile1qy2hwumn8ghj7un9d3shjtnddaehgu3wwp6kyqpqdnglkhwy6hskfqrhj2hfqvzach3yfsh2z65rdyklkfakl7jadn0qhu5u70 (nprofile…5u70) Sorry, I don't agree with that. There are lots of good reasons for considering that training LLMs with copyrighted-works is fair-use that totally valid.
"Many creators and white-collar professionals increasingly believe that generative AI threatens their jobs. Many people also worry that it enables serious forms of abuse, such as AI-generated nonconsensual intimate imagery, including of children. Privacy concerns abound, as does consternation over misinformation and disinformation. And it’s already harming the environment.
Expanding copyright will not mitigate these harms, and we shouldn’t forfeit free speech and innovation to chase snake oil “solutions” that won’t work.
We need solutions that address the roots of these problems, like inadequate protections for labor rights and personal privacy. Targeted, issue-specific policies are far more likely to succeed in resolving the problems society faces. Take competition, for example. Proponents of copyright expansion argue that treating AI development like the fair use that it is would only enrich a handful of tech behemoths. But imposing onerous new copyright licensing requirements to train models would lock in the market advantages enjoyed by Big Tech and Big Media—the only companies that own large content libraries or can afford to license enough material to build a deep learning model—profiting entrenched incumbents at the public’s expense. What neither Big Tech nor Big Media will say is that stronger antitrust rules and enforcement would be a much better solution. "
https://www.eff.org/deeplinks/2025/02/ai-and-copyright-expanding-copyright-hurts-everyone-heres-what-do-instead
"Many creators and white-collar professionals increasingly believe that generative AI threatens their jobs. Many people also worry that it enables serious forms of abuse, such as AI-generated nonconsensual intimate imagery, including of children. Privacy concerns abound, as does consternation over misinformation and disinformation. And it’s already harming the environment.
Expanding copyright will not mitigate these harms, and we shouldn’t forfeit free speech and innovation to chase snake oil “solutions” that won’t work.
We need solutions that address the roots of these problems, like inadequate protections for labor rights and personal privacy. Targeted, issue-specific policies are far more likely to succeed in resolving the problems society faces. Take competition, for example. Proponents of copyright expansion argue that treating AI development like the fair use that it is would only enrich a handful of tech behemoths. But imposing onerous new copyright licensing requirements to train models would lock in the market advantages enjoyed by Big Tech and Big Media—the only companies that own large content libraries or can afford to license enough material to build a deep learning model—profiting entrenched incumbents at the public’s expense. What neither Big Tech nor Big Media will say is that stronger antitrust rules and enforcement would be a much better solution. "
https://www.eff.org/deeplinks/2025/02/ai-and-copyright-expanding-copyright-hurts-everyone-heres-what-do-instead