阶跃星辰姜大昕：追求AGI的初心不变，要在多模态能力和Agent方向做出差异化

Core Viewpoints - The company is committed to the research and development of foundational large models, with the pursuit of AGI as its original intention, which will not change [3][4] - The company differentiates itself in the competitive landscape through its multimodal capabilities, actively exploring cutting-edge directions and recognizing significant opportunities [3][6] - The company aims to create an ecosystem from models to agents, integrating both cloud and edge computing, as it believes that the combination of software and hardware can better understand user needs and complete tasks [3][4] Industry Trends - The pursuit of the upper limit of intelligence remains the most important task in the current landscape, with two main trends observed: transitioning from imitation learning to reinforcement learning, and moving from multimodal fusion to integrated multimodal understanding and generation [6][8] - The company has established a matrix of general large models, categorizing foundational models into language models and multimodal models, with further subdivisions based on modality and functionality [8][9] - The belief that multimodality is essential for achieving AGI is emphasized, as human intelligence is diverse and requires learning through various modalities [9][10] Technological Developments - The trend of integrated understanding and generation, particularly in the visual domain, is highlighted, where understanding and generation are accomplished using a single model [11][14] - The recently released image editing model, Step1X-Edit, demonstrates high performance with 19 billion parameters, showcasing capabilities in semantic parsing, identity consistency, and high-precision control [13][14] Strategic Focus - The company adopts a dual-driven strategy of "super models plus super applications," focusing on the development of intelligent terminal agents [15][16] - The choice to focus on intelligent terminal agents is based on the belief that agents need to understand the context of user tasks to assist effectively [16][17] - Collaborations with leading companies in various sectors, such as OPPO and Geely, are underway to enhance the development of intelligent terminal agents [16][17]