聊天框之外，AI 交互正在被哪些「新界面」重写？

Group 1 - The core discussion revolves around the limitations of the current AI interaction model, primarily chat interfaces, and the need for more personalized and adaptable user interfaces in AI applications [2][4]. - The dominance of chat interfaces is attributed to several factors: the naturalness of text-based commands for models, the anchoring effect of ChatGPT on product design, high fault tolerance in operations, and the simplicity of designing chat interfaces [5][6][7]. - There is a belief that the era of chat-based interactions will be short-lived, as more mature interaction paradigms are expected to emerge, similar to the evolution from early computer models to modern interfaces [4][7]. Group 2 - The pain points of single chat interfaces have prompted industry players to explore various interaction designs that better align with user preferences in specific work scenarios [9]. - Users have reported that chat interfaces lead to unnecessary back-and-forth interactions, which can waste time, and many LLM products are now incorporating specialized functions and interfaces to address these issues [7][9]. - There are significant concerns regarding the high learning curve and context management difficulties associated with chat interfaces, which can alienate nearly half of potential users [7][9].