OpenAI's advanced large language models (LLMs) have revolutionized natural language processing and enabled developers to create innovative applications. As adoption grows, understanding the experiences and challenges of developers working with these technologies is crucial. This paper presents a comprehensive analysis of the OpenAI Developer Forum, focusing on (1) popularity trends and user engagement patterns, and (2) a taxonomy of challenges and concerns faced by developers. We first employ a quantitative analysis of the metadata from 29,576 forum topics, investigating temporal trends in topic creation, the popularity of topics across different categories, and user contributions at various trust levels. We then qualitatively analyze content from 9,301 recently active topics on developer concerns. From a sample of 886 topics, we construct a taxonomy of concerns in the OpenAI Developer Forum. Our findings uncover critical concerns raised by developers in creating AI-powered applications and offer targeted recommendations to address them. This work not only advances AI-assisted software engineering but also empowers developer communities to shape the responsible evolution and integration of AI technology in society.

翻译：OpenAI先进的大型语言模型（LLM）已彻底变革自然语言处理领域，并赋能开发者创建创新应用。随着采用率的增长，理解开发者使用这些技术的经验与挑战至关重要。本文对OpenAI开发者论坛进行全面分析，重点关注：（1）热门趋势与用户参与模式，以及（2）开发者面临挑战与关切的分类体系。我们首先对29,576个论坛主题的元数据进行定量分析，探究主题创建的时间趋势、不同类别主题的受欢迎程度，以及不同信任级别用户的贡献情况。随后，我们对9,301个近期活跃的开发者关切主题进行定性内容分析。基于886个主题样本，我们构建了OpenAI开发者论坛的关切分类体系。研究发现揭示了开发者在创建AI驱动应用过程中提出的关键关切，并提供了针对性解决方案建议。本工作不仅推动了AI辅助软件工程的发展，更有助于开发者社区共同引导AI技术在社会中负责任地演进与融合。