Core Viewpoint - The multi-modal model industry has not yet reached a "GPT-4 moment," as the lack of an integrated understanding-generating architecture is a significant bottleneck for development [1][3]. Company Overview - The company, founded by CEO Jiang Daxin in 2023, focuses on multi-modal models and has undergone internal restructuring to form a "generation-understanding" team from previously separate groups [1][2]. - The company currently employs over 400 people, with 80% in technical roles, fostering a collaborative and open work environment [2]. Technological Insights - The understanding-generating integrated architecture is deemed crucial for the evolution of multi-modal models, allowing for pre-training with vast amounts of image and video data [1][3]. - The company emphasizes the importance of multi-modal capabilities for achieving Artificial General Intelligence (AGI), asserting that any shortcomings in this area could delay progress [12][31]. Market Position and Competition - The company has completed a Series B funding round of several hundred million dollars and is one of the few in the "AI six tigers" that has not abandoned pre-training [3][36]. - The competitive landscape is intense, with major players like OpenAI, Google, and Meta releasing numerous new models, highlighting the urgency for innovation [3][4]. Future Directions - The company plans to enhance its models by integrating reasoning capabilities and long-chain thinking, which are essential for solving complex problems [13][18]. - Future developments will focus on achieving a scalable understanding-generating architecture in the visual domain, which is currently a significant challenge [26][28]. Application Strategy - The company adopts a dual strategy of "super models plus super applications," aiming to leverage multi-modal capabilities and reasoning skills in its applications [31][32]. - The focus on intelligent terminal agents is seen as a key area for growth, with the potential to enhance user experience and task completion through better contextual understanding [32][34].