Core Viewpoint - The article discusses the evolution of AI search capabilities, particularly focusing on Quark's "Deep Search" which enhances AI's ability to think and provide structured, actionable solutions rather than just summarizing information [2][41]. Group 1: AI Search Evolution - Traditional AI search was limited to finding and summarizing information, often resulting in fragmented and shallow responses [1][2]. - Quark's "Deep Search" represents a significant advancement by enabling AI to actively understand, analyze, and decompose problems before conducting searches, leading to clearer and more reliable answers [2][4]. Group 2: Advantages of Quark's Deep Search - Quark's search logic mimics human reasoning, involving a structured approach of thinking, searching, and integrating information, which enhances both efficiency and answer quality [4][10]. - The system demonstrates superior source traceability, particularly in fields requiring high accuracy, such as health and academia, by utilizing a vast medical knowledge base and collaborating with numerous medical institutions [16][18]. Group 3: Practical Applications - Quark's Deep Search can assist users in various scenarios, from planning travel itineraries based on crowd levels to providing legal advice and health consultations, showcasing its versatility and high "search intelligence" [23][30]. - The platform has built a comprehensive academic literature database and a vast question bank, making it a valuable resource for students and professionals alike [19][20]. Group 4: Future Developments - Quark plans to introduce a "Deep Search Pro" mode designed for more complex inquiries, offering structured and professional-level reports, thus catering to users with advanced needs [32][34]. - The integration of image processing capabilities allows users to extract and manipulate information from images, further enhancing the platform's functionality [36][37]. Group 5: Market Positioning - Quark's advancements position it as a leader in the AI search market, shifting the paradigm from mere information retrieval to problem-solving, thereby democratizing access to AI capabilities for everyday users [41][43].