Powered by large language models, a new genre of multi-agent social platforms has emerged. Apps such as Social.AI deploy numerous AI agents that emulate human behavior, creating unprecedented bot-centric social networks. Yet, existing research has predominantly focused on one-on-one chatbots, leaving multi-agent AI platforms underexplored. To bridge this gap, we took Social.AI as a case study and performed a two-stage investigation: (i) content analysis of 883 user comments; (ii) a 7-day diary study with 20 participants to document their firsthand platform experiences. While public discourse expressed greater skepticism, the diary study found that users did project a range of social expectations onto the AI agents. While some user expectations were met, the AI-dominant social environment introduces distinct problems, such as attention overload and homogenized interaction. These tensions signal a future where AI functions not merely as a tool or an anthropomorphized actor, but as the dominant medium of sociality itself-a paradigm shift that foregrounds new forms of architected social life.

翻译：在大型语言模型的驱动下，一种新型的多智能体社交平台已经出现。诸如Social.AI等应用程序部署了大量模拟人类行为的AI智能体，创造了前所未有的以机器人为主的社交网络。然而，现有研究主要集中于一对一的聊天机器人，对多智能体AI平台的探索尚不充分。为弥补这一空白，我们以Social.AI为案例，进行了两阶段调查：(i) 对883条用户评论进行内容分析；(ii) 对20名参与者进行为期7天的日记研究，以记录他们的第一手平台体验。虽然公众讨论表现出更大的怀疑态度，但日记研究发现，用户确实将一系列社会期望投射到AI智能体上。尽管部分用户期望得到了满足，但AI主导的社交环境也带来了独特的问题，例如注意力过载和同质化的互动。这些张力预示着一个未来：AI不再仅仅作为工具或拟人化的行动者，而是作为社交性本身的主导媒介——这一范式转变凸显了新型架构化社交生活的形态。