喝点VC｜红杉对话OpenAI Deep Research团队：AI Agent将成为今年最具突破性技术，强化学习重新回归主流

Core Viewpoint - The article discusses the launch and capabilities of OpenAI's "Deep Research," an AI agent that utilizes end-to-end reinforcement learning to enhance efficiency in complex information retrieval and reasoning tasks, significantly reducing the time required for knowledge work from hours to minutes [2][10][24]. Group 1: Product Overview - "Deep Research" is designed to retrieve information from multiple online sources and generate detailed reports, completing tasks in 5 to 30 minutes compared to hours for humans [6][10]. - The product is part of OpenAI's agent series, following the "Operator" agent, with plans for further expansions including a "Shards Seeker" agent [4][6]. - The development of "Deep Research" was inspired by breakthroughs in reasoning paradigms and aims to tackle complex tasks requiring extensive online research and creativity [7][10]. Group 2: Target Users and Applications - The primary users of "Deep Research" include knowledge workers in various fields such as market analysis, medical research, and personal planning [11][12]. - The product has shown significant utility in scientific research, helping users find relevant literature and data [12]. - It is also beneficial for personal tasks like shopping and travel planning, allowing users to save time and make informed decisions [18][19]. Group 3: Technical Mechanism and Innovations - "Deep Research" employs a fine-tuned version of OpenAI's advanced reasoning model, o3, specifically trained for complex web browsing and reasoning tasks [24][25]. - The model's ability to dynamically adjust its search strategies during information retrieval sets it apart from traditional search engines [25][26]. - The integration of a "Chain-of-Thought" summary allows users to understand the reasoning process behind the model's search strategies, enhancing transparency [25][26]. Group 4: Future Developments and Impact - Future plans for "Deep Research" include expanding its capabilities to access private data and improving its analytical functions for more complex tasks [37][38]. - The potential impact of "Deep Research" on various professions, particularly in consulting and healthcare, is significant, as it can drastically reduce the time spent on research tasks [39][40]. - The technology is expected to empower knowledge workers rather than replace them, enhancing their efficiency and decision-making capabilities [39][40].