Anthropic took down thousands of GitHub repos trying to yank its leaked source code — a move the company says was an accident
Summary
Anthropic inadvertently caused the takedown of approximately 8,100 GitHub code repositories after issuing a digital copyright notice to remove source code for its Claude Code command line application. A software engineer discovered that Anthropic had accidentally included access to the application's source code in a recent release, leading to its sharing on GitHub. The takedown notice, intended for repositories containing the leaked code, mistakenly affected numerous legitimate forks of Anthropic's own public Claude Code repository. Anthropic's head of Claude Code, Boris Cherny, acknowledged the error, stating the notice's broad reach was unintended due to its connection to a fork network. The company subsequently retracted the majority of the notices, limiting the takedown to one repository and 96 specific forks, and GitHub restored access to the other affected repositories.
Key takeaway
For engineering and legal teams managing intellectual property, this incident highlights the critical need for meticulous review of code releases and precise targeting of digital copyright takedown notices. Your processes must account for the interconnected nature of code repositories, especially on platforms like GitHub, to prevent unintended broad-scale disruptions. Ensure legal and technical teams collaborate closely to avoid reputational damage and potential legal liabilities from accidental overreach.
Key insights
Accidental source code leaks can trigger widespread, unintended consequences through automated takedown processes.
Principles
- Digital copyright notices can impact legitimate forks.
- Automated takedowns require precise targeting.
In practice
- Review code releases for sensitive data exposure.
- Verify DMCA notice scope before issuance.
Topics
- Anthropic
- Claude Code
- Source Code Leak
- GitHub Takedown
- DMCA Notice
Code references
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Editorial summary, takeaway, and curation by AIssential. Original article published by AI News & Artificial Intelligence | TechCrunch.