Bluesky Declares AI Policy: No Use of User Posts for Training Unlike X

Friday, 15 November 2024, 21:26

AI is at the forefront of social media debates as Bluesky differentiates itself from X by refusing to train artificial intelligence on user-generated content. This pivotal stance comes amidst a notable increase in Bluesky's user base as many flee from X. The social network aims to reassure its users about the safety of their shared content in the growing AI landscape.
Techcrunch
Bluesky Declares AI Policy: No Use of User Posts for Training Unlike X

Bluesky's Bold Move in the AI Conversation

In a significant declaration, Bluesky, a social networking platform experiencing an influx of new users, has stated that it will not use user-generated content for training artificial intelligence systems. This assertion contrasts sharply with X (formerly Twitter), which recently updated its terms of service to incorporate generative AI tools more broadly.

Comparison with X's AI Strategy

X's new policies allow the platform to utilize user posts, prompting numerous users to reconsider their presence on the site. As a response, Bluesky has positioned itself as a safe haven for users concerned about their privacy and data usage in the accelerating AI environment.

Potential Implications for Users

  • User Privacy: Bluesky aims to create a safe community where posts remain personal.
  • Competitive Advantage: By not leveraging user data, Bluesky attracts those wary of X’s practices.
  • Community Growth: The surge in users reflects a shift towards platforms prioritizing ethical content use.

Conclusion: The Future of Social Media and AI

This pivotal decision by Bluesky highlights a potential shift in how social networks manage content in relation to AI technologies. As discussions around AI and privacy continue, users might increasingly favor platforms that respect their data and individual choice.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.

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