AI And The Ship of Theseus
Summary
Armin Ronacher explores the implications of AI-powered reimplementations—what he calls 'slopforks'—using the chardet relicensing controversy as a case study. The central question is whether rewriting a library from scratch using only its API and test suite creates a derived work or a new one. He argues that copyleft licenses like the GPL depend on copyright friction that AI now renders largely moot, as any open-source library can be trivially reimplemented. This creates a chaotic new landscape where GPL code may reemerge as MIT, proprietary abandonware may be revived as open source, and AI-generated code may not even be copyrightable at all. Ronacher openly admits he welcomes this development, being a permissive-license advocate, but acknowledges the fights ahead as AI combines two already-heated topics: licensing and AI.
Key Insight
AI-powered reimplementation destroys the friction that copyleft enforcement depends on, making license choice largely irrelevant and forcing the industry to reckon with what software ownership even means.
Spicy Quotes (click to share)
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Because code gets cheaper and cheaper to write, this includes re-implementations.
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Copyleft code like the GPL heavily depends on copyrights and friction to enforce it. But because it's fundamentally in the open, with or without tests, you can trivially rewrite it these days.
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A court still might rule that all AI-generated code is in the public domain, because there was not enough human input in it.
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Vercel, for instance, happily re-implemented bash with Clankers but got visibly upset when someone re-implemented Next.js in the same way.
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If you throw away all code and start from scratch, even if the end result behaves the same, it's a new ship. It only continues to carry the name.
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Which may be another argument for why authors should hold on to trademarks rather than rely on licenses and contract law.
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It combines two very heated topics, licensing and AI, in the worst possible way.
Tone
opinionated, provocative, intellectually curious
