Core Viewpoint - Manus has launched a new feature called "Wide Research," enabling users to assign tasks to hundreds of AI agents for extensive research, marking a significant advancement in AI capabilities [2][6][12]. Group 1: Introduction of Wide Research - Manus's multi-agent platform has transformed the application of AI tools, and the new "Wide Research" capability aims to parallel the importance of "Deep Research" [3][4]. - The feature allows users to execute large-scale tasks with over 100 concurrent AI agents focusing on a single task or a series of sub-tasks [6][10]. Group 2: Functionality and Applications - Wide Research can analyze various datasets, such as ranking the top 100 MBA programs or analyzing over 1,000 stocks, and is not limited to data analysis but also includes creative tasks [10][12]. - The system's flexibility comes from its architecture, which allows for system-level parallel processing and inter-agent communication, expanding computational capacity significantly [12][23]. Group 3: User Experience and Challenges - Initial user experiences have highlighted issues such as slow agent speeds, high token consumption, and limited visibility during task execution [20][21]. - Users have reported common pain points, including a lack of coordination protocols among agents and performance instability during high-load periods [21][22]. Group 4: Future Implications - Manus believes that Wide Research represents a step towards achieving a true general AI workflow, with the potential to unlock capabilities beyond research [14][23]. - The infrastructure behind Wide Research is expected to lay the groundwork for future products, emphasizing the importance of agent-to-agent collaboration [23].