The field of human-AI interaction is rapidly evolving, with a growing focus on personalization and dynamic user experiences. Recent studies have highlighted the importance of balancing exploration and exploitation in online platform design, particularly in live streaming environments. The incorporation of real-time features and animacy in robots and conversational agents has also been shown to enhance user engagement and perceptions. Furthermore, research on AI-mediated communities and fan-creator relationships has revealed new dynamics and implications for designing transparent and sustainable interactions. Noteworthy papers in this area include the development of MOFU, a morphing fluffy unit that exhibits whole-body expansion-contraction movements, and the investigation of LLM-based conversational agents' personality and alignment on user perceptions. Additionally, the study on AI VTuber fandom has shed light on the unique engagement dynamics and fan-creator relationships in this context. Overall, these advancements underscore the need for continued innovation and research in human-AI interaction and personalization to create more effective and engaging user experiences.