Core Insights - The transition of AI from screens to the real world is facing challenges in human-computer interaction, which is evolving from a question-and-answer model to a more integrated approach [1][2] - The development of multimodal models is seen as crucial for bridging digital intelligence and the physical world, with industry experts emphasizing the need for enhanced interaction capabilities [2][3] Group 1: Human-Computer Interaction - Traditional human-computer interaction models are limited, as they struggle to allow simultaneous listening, speaking, and viewing, which are natural for humans [2] - The evolution towards embodied intelligence requires models that can facilitate more natural interactions, making robots and smart devices behave more like humans [2][3] - Current mobile interactions are primarily voice and touch-based, with limitations in modality, indicating a need for innovation in input methods [3][4] Group 2: Industry Trends and Predictions - The integration of cloud and edge models is essential for the advancement of human-computer interaction, with ongoing exploration expected in this area [3][6] - The potential for embodied intelligence is seen as significant, particularly in sectors like automotive and robotics, where resource constraints are less of an issue [5][6] - The industry is anticipated to witness rapid advancements in model capabilities and interactions within the next one to two years, leading to a new era of intelligent agents [6][7] Group 3: Company Positioning and Strategy - The company positions itself as a developer of high-quality models rather than focusing on specific products, emphasizing the importance of continuous model development [6] - The concept of "Densing Law" suggests that the lifespan of large models is short, necessitating ongoing innovation to maintain competitive advantage [6] - The commercialization of edge models is viewed as a critical part of validating capabilities and driving data-driven growth [6][7]