Bluesky users allege internal AI use violates no-scraping promise

Bluesky users are accusing the platform of violating its no-AI-scraping pledge by allegedly utilizing public posts for internal artificial intelligence development. Critics argue that employing user-generated content for internal model training or operational tools breaches the spirit of privacy assurances made to attract users fleeing other platforms. The backlash centers on the distinction between third-party scraping and first-party internal use, with users contending both represent unauthorized data exploitation. Bluesky has not issued a formal response regarding specific internal AI workflows or data retention policies for model development. This dispute highlights growing ambiguity in social media terms of service as platforms integrate AI while maintaining anti-scraping marketing positions. User sentiment suggests that technical compliance with external scraping bans may be insufficient if internal data usage remains opaque. The controversy tests whether decentralized platforms can maintain ethical data standards while competing in an AI-driven market.