Core Insights - Kimi's newly launched Deep Research feature is considered to be among the top three in the industry for its depth and efficiency in generating research reports [1][5][20] - The feature automates the process of information gathering and report generation, significantly reducing the time spent on research [4][18][17] Group 1: Functionality and Performance - Deep Research provides a structured framework for understanding complex questions and generates high-quality reports [5][7] - The feature utilizes both Chinese and English keywords, enhancing information coverage and accuracy [24][31] - Kimi's system plans and executes searches autonomously, correcting its strategies when necessary to ensure comprehensive data collection [36][38] Group 2: Technical Challenges and Innovations - Developing a Deep Research Agent involves overcoming significant technical challenges, particularly in managing real-world complexities and long-chain tasks [12][14][15] - Kimi's approach integrates coding capabilities, indicating that deep research and coding skills will be foundational for future general-purpose agents [22][45] Group 3: Market Position and Strategy - The current market environment favors companies like Kimi that focus on product quality and technical innovation rather than aggressive marketing tactics [48][50] - Kimi's strategy emphasizes long-term development of general intelligence, rather than short-term performance metrics [52]