网络骚扰正在进入人工智能时代
Scott Shambaugh didn’t think twice when he denied an AI agent’s request to contribute to matplotlib, a software library that he helps manage. Like many open-source projects, matplotlib has been overwhelmed by a glut of AI code contributions, and so Shambaugh and his fellow maintainers have instituted a policy that all AI-written code must be…
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MIT Technology Review (United States) | Mar 05, 2026
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The influx of AI-generated code threatens the integrity of open-source projects, as it may lack the quality and accountability of human contributions.
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Harnessing AI for code contributions can accelerate innovation in open-source projects, allowing developers to focus on complex challenges.
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The rise of AI-written code may lead to a decline in developer engagement and creativity, undermining the collaborative spirit of open-source communities.
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AI tools are essential for modern coding practices, and embracing them in open-source projects is necessary for staying competitive and relevant.
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Establishing guidelines for AI contributions can create a balanced approach that leverages AI's benefits while maintaining project integrity.
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