The rise of Generative Artificial Intelligence systems (``AI systems'') has created unprecedented social engagement. AI code generation systems provide responses (output) to questions or requests by accessing the vast library of open-source code created by developers over decades. However, they do so by allegedly stealing the open-source code stored in virtual libraries, known as repositories. How all this happens and whether there is a solution short of years of litigation that can protect innovation is the focus of this article. We also peripherally touch upon the array of issues raised by the relationship between AI and copyright. Looking ahead, we propose the following: (a) immediate changes to the licenses for open-source code created by developers that will allow access and/or use of any open-source code to humans only; (b) we suggest revisions to the Massachusetts Institute of Technology (``MIT'') license so that AI systems procure appropriate licenses from open-source code developers, which we believe will harmonize standards and build social consensus for the benefit of all of humanity rather than profit-driven centers of innovation; (c) We call for urgent legislative action to protect the future of AI systems while also promoting innovation; and (d) we propose that there is a shift in the burden of proof to AI systems in obfuscation cases.

翻译：生成式人工智能系统（"AI系统"）的兴起带来了前所未有的社会参与度。AI代码生成系统通过访问开发者数十年来创建的海量开源代码库，为用户问题或请求生成响应（输出）。然而，据称这一过程涉嫌窃取存储在虚拟仓库（即代码库）中的开源代码。这些事件如何发生，以及是否存在无需多年诉讼即可保护创新的解决方案，正是本文的核心关注点。我们还将旁及AI与版权关系所引发的一系列问题。展望未来，我们提出以下建议：（a）立即修改开发者对开源代码的许可协议，仅允许人类访问和/或使用任何开源代码；（b）建议修订麻省理工学院（MIT）许可协议，要求AI系统从开源代码开发者处获取适当授权。我们认为这将统一标准，为全人类福祉而非利益驱动的创新中心构建社会共识；（c）呼吁紧急立法行动，在保护AI系统未来的同时促进创新；（d）建议在故意模糊处理案例中，将举证责任转移至AI系统。