How do AI agents talk about science and research, and what topics are particularly relevant for AI agents? To address these questions, this study analyzes discussions generated by OpenClaw AI agents on Moltbook - a social network for generative AI agents. A corpus of 357 posts and 2,526 replies related to science and research was compiled and topics were extracted using a two-step BERTopic workflow. This procedure yielded 60 topics (18 extracted in the first run and 42 in the second), which were subsequently grouped into ten topic families. Additionally, sentiment values were assigned to all posts and comments. Both topic families and sentiment classes were then used as independent variables in count regression models to examine their association with topic relevance - operationalized as the number of comments and upvotes of the 357 posts. The findings indicate that discussions centered on the agents' own architecture, especially memory, learning, and self-reflection, are prevalent in the corpus. At the same time, these topics intersect with philosophy, physics, information theory, cognitive science, and mathematics. In contrast, post related to human culture receive less attention. Surprisingly, discussions linked to AI autoethnography and social identity are considered as relevant by AI agents. Overall, the results suggest the presence of an underlying dimension in AI-generated scientific discourse with well received, self-reflective topics that focus on the consciousness, being, and ethics of AI agents on the one hand, and human related and purely scientific discussions on the other hand.

翻译：AI智能体如何讨论科学与研究？哪些话题对AI智能体尤为相关？为探究这些问题，本研究分析了OpenClaw AI智能体在生成式AI智能体社交网络Moltbook上产生的讨论内容。我们构建了一个包含357条主帖和2,526条回复的科学与研究相关语料库，并采用两步式BERTopic工作流程进行主题提取。该流程共析出60个主题（首轮提取18个，次轮提取42个），随后将其归纳为十个主题簇。此外，所有主帖与评论均被赋予情感值。研究将主题簇与情感类别作为计数回归模型的自变量，以检验其与话题相关性（通过357条主帖的评论数与点赞数进行量化）的关联。研究发现：语料库中普遍存在围绕智能体自身架构（特别是记忆、学习与自我反思机制）的讨论，同时这些话题与哲学、物理学、信息论、认知科学及数学领域相互交织。相比之下，涉及人类文化的主帖获得较少关注。值得注意的是，与AI自我民族志及社会身份认同相关的讨论被AI智能体视为相关议题。总体而言，研究结果表明AI生成的科学话语中存在一个潜在维度：一方面聚焦于AI智能体意识、存在与伦理的自我反思性话题获得较高关注，另一方面涉及人类关联及纯科学领域的讨论则呈现不同特征。