📄 中文摘要
在开源项目中,尤其是Django,贡献者的参与是一个共同的努力。使用大型语言模型(LLM)进行贡献时,若无法理解问题、解决方案或PR反馈,将对Django整体造成伤害。与人沟通时,若对方只是LLM的假象,会让审查者感到沮丧。因此,使用LLM应作为辅助工具,而非替代人类的参与,保持人性化的交流对于开源社区至关重要。
📄 English Summary
Quoting Tim Schilling
Contributing to open source projects, particularly Django, is a communal effort. The use of large language models (LLMs) can harm Django as a whole if contributors do not understand the ticket, the solution, or the feedback on their pull requests (PRs). Communicating with a facade of a human can be demoralizing for reviewers. Therefore, LLMs should be used as complementary tools rather than as substitutes for human engagement. Maintaining human interaction is essential for the open source community.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等