能自动查数据、写分析、画专业金融图表的AI金融分析师来了！ 最近，中国人民大学高瓴人工智能学院提出了一个面向真实金融投研场景的多模态研报生成系统—— 玉兰·融观 （Yulan-FinSight） 。 面对用户的研究需求，FinSight能够自动拆解任务，从互联网和金融数据库中搜集包括股价、财报、新闻在内的 多源异构数据 ，并生成包 含"发展历程"、"核心业务架构"、"竞争格局"等章节的 万字图文报告 。 FinSight团队 投稿 量子位 | 公众号 QbitAI △ 可在FinSight预设基础上自行配置 该系统也在 AFAC 2025 金融智能创新大赛挑战组 的1289支队伍中夺冠，并在多项评测中超越了GPT-5 w/Search、OpenAI Deep Research与Gemini-2.5-Pro Deep Research，展现出接近人类专家的金融分析与写作能力。 下面来看详细内容。 为什么通用AI做不好金融研报？ 在研究者看来，问题的关键并不在于模型"不会写字"，而在于金融行业的研究报告本身是一项 高度结构化、强逻辑、强可视化 的专家级工 作，涉及多个流程。 相比通用问答、检索或文本生成任务，金融 ...

Core Viewpoint - The article promotes a series of networking events called "Jinqiu Dinner Table," aimed at entrepreneurs and tech innovators to share insights and experiences in a casual setting, emphasizing the importance of collaboration and innovation in the tech industry [22][23][24]. Event Details - The upcoming events include: - AI Agent in Shenzhen on September 26, 2025 [3][50] - Embodied Intelligence in Beijing on October 10, 2025 [5][12] - Robot Party in Shenzhen on October 17, 2025 [19][50] Networking Concept - "Jinqiu Dinner Table" is described as an informal gathering for entrepreneurs, product technologists, and innovators to discuss topics that are often not addressed in formal settings, focusing on genuine exchanges and practical insights [22][23]. - The initiative has hosted 31 sessions covering various topics related to technology and investment, creating a platform for sharing challenges and decision-making processes in entrepreneurship [24]. AI and Decision-Making Insights - The article discusses the limitations of large language models (LLMs) in serious decision-making tasks, highlighting that traditional reinforcement learning models perform better in high-stakes environments [25][26]. - It emphasizes the need for high-quality decision-making knowledge and data, which is currently lacking in existing LLMs [26][27]. Agent Architecture and Applications - The article outlines the evolution of AI agent architectures, including single-agent and multi-agent systems, and their applications in solving complex problems [36][38]. - It highlights the importance of clear and structured requirements for AI agents to deliver expected outcomes, stressing that vague instructions lead to poor performance [38]. Future Trends in AI Interaction - The potential for new interaction methods with AI, such as voice commands and proactive AI hardware, is discussed, suggesting that these innovations could transform user experiences and task execution [42][43]. - The article notes that the development of specialized browsers for AI could enhance performance by providing better context understanding and data access [46]. Investment Opportunities - The "Soil Seed Special Plan" by Jinqiu Capital is introduced, aimed at supporting early-stage AI entrepreneurs with funding to help them realize their innovative ideas [57][59].