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John Carmack about open source and anti-AI activists (twitter.com)

376 points by tzury · 171 days ago · 488 comments on HN

Article summary

The article discusses John Carmack's views on open source and anti-AI activists, although the exact content of the article is not available. The comments reveal a discussion on the ethics of using open source code for AI training and the potential profits made by companies without contributing back to the original authors. Some commenters argue that this is a form of exploitation, while others see it as a natural consequence of open source licensing. The conversation also touches on the differences between using open source code directly and using it for AI training.

Main themes

  • Open source ethics
  • AI training and profits
  • Exploitation of open source code
  • Licensing and copyright
  • Contributions and reciprocity

What commenters say

  • Using open source code for AI training without contributing back to the original authors is a form of exploitation and undermines the spirit of open source.
  • The use of open source code for AI training is a natural consequence of open source licensing and does not necessarily require contributing back to the original authors.
  • The fact that companies can profit from open source code without contributing back is not unique to AI training and is a broader issue with the current open source ecosystem.
  • The distinction between using open source code directly and using it for AI training is not clear-cut, and the law needs to provide more specific guidance on what constitutes a derivative work.
  • The original authors of open source code often do not expect to be paid and are motivated by a desire to contribute to the community, rather than seeking financial gain.
  • The use of open source code for AI training can be seen as a form of IP laundering, where companies benefit from the work of others without paying the asking price.
  • The concept of derivative works is complex and does not necessarily apply to AI training, which can be seen as a form of transformation or adaptation rather than a direct copy or modification.
  • The discussion around open source and AI training highlights the need for clearer licensing terms and a better understanding of the rights and responsibilities of both contributors and users.