Is legal the same as legitimate: AI reimplementation and the erosion of copyleft
writings.hongminhee.org
March 9, 2026
11 min read
Summary
Dan Blanchard released version 7.0 of chardet, a Python library for detecting text encodings, which is now 48 times faster and supports multiple cores. The library's license has changed from LGPL to MIT, with Anthropic's Claude listed as a contributor.
Key Takeaways
- Dan Blanchard released version 7.0 of the chardet library, which is 48 times faster than the previous version and supports multiple cores, with a license change from LGPL to MIT.
- The new version of chardet was reimplemented using AI, with less than 1.3% similarity to prior versions, leading Blanchard to conclude it is an independent work not bound by LGPL.
- The shift from a copyleft license to a permissive license for chardet 7.0 removes the obligation for derivative works to share their source code, potentially eroding the commons.
- The legal permissibility of AI-assisted reimplementation does not equate to its legitimacy, as it may undermine the principles of open-source software.
Community Sentiment
MixedPositives
- The discussion around AI's impact on copyright raises important questions about the future of software licensing and the value of intellectual property in a rapidly evolving landscape.
- The notion that AI can reimplement software without direct reference to the original code challenges traditional views on copyright and could lead to new paradigms in software development.
Concerns
- AI's ability to erode copyright protections may undermine the foundational principles of copyleft, suggesting a potential crisis for open-source software licensing.
- The reduction in coding costs could lead to a future where software loses its value, making licensing irrelevant and diminishing the incentive for developers to create original work.
Source
writings.hongminhee.org
Published
March 9, 2026
Reading Time
11 minutes
Relevance Score
69/100
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