【导读】聚首香江！机器人与AI产业大咖共探未来发展新方向 2025年12月20日下午，在首届香港国际AI艺术节期间，"破界融新，投启未来"2025机器人产业和AI投资 论坛成功举办。 论坛上，优必选首席品牌官谭旻、AMD大中华区销售副总裁晁亚新、迅兔科技创始人兼CEO李罗丹、 上海灵境智源CEO孙博、天数智芯边端产品事业部副总经理宋远盈，以及开源证券机械首席分析师孟鹏 飞围绕"生态共建在传统与创新中融合"主题，共同探讨AI的颠覆性影响与机器人技术发展前景。 01 人形是通用人工智能的必要载体吗？ 孟鹏飞：中国已成为全球工业机器人和服务机器人第一大国。2022年，马斯克Optimus第一代的推出， 让我们看到人形机器人这一划时代产品的潜力。人形机器人不仅是AI闭环的关键，更能推动人类文明 和技术向前发展。2026年是人形机器人即将量产的重要节点。 请问各位，当前人形机器人处于技术和产业发展的哪个阶段？机器人是否必须通过人形来实现通用人工 智能？ 谭旻：人形并非唯一形态，但却是具身智能的最佳形态。通用人工智能需要通用的数据基座，非人形机 器人难以实现全面通用。而人形机器人能收集真实世界数据，搭建世界模型，为Phy ...

2025年12月20日下午，在首届香港国际AI艺术节期间，"破界融新，投启未来"2025机器人产业和AI投资论坛成功 举办。 论坛上， 优必选首席品牌官谭旻、AMD大中华区销售副总裁晁亚新、迅兔科技创始人兼CEO李罗丹、上海灵境智 源CEO孙博、天数智芯边端产品事业部副总经理宋远盈，以及开源证券机械首席分析师孟鹏飞 围绕" 生态共建 在 传统与创新中融合" 主题，共同探讨 AI的颠覆性 影响 与机器人技术发展 前景 。 【导读】聚首香江！机器人与AI产业大咖共探未来发展新方向 中国基金报记者 王思文 01 人形是通用人工智能的必要载体吗？ 孟鹏飞： 中国已成为全球工业机器人和服务机器人第一大国 。 2022年，马斯克Optimus第一代的推出，让我们看 到人形机器人这一划时代产品的潜力。 人形机器人 不仅是AI闭环的关键，更能推动人类文明 和技术向前发展 。 2026年是人形机器人即将量产的重要节点 。 请问各位，当前人形机器人处于 技术和产业发展的哪个 阶段？ 机器人是否 必须通过人形 来 实现通用人工智能？ 谭旻： 人形并非唯一形态，但却是具身智能的最佳形态。通用人工智能需要通用的数据基座，非人形机器人难 ...

Core Viewpoint - The legal dispute between Shenzhen Jinmen Finance Technology Co., Ltd. and Xunru Technology (Shanghai) Co., Ltd. centers around allegations of unfair competition, where Xunru is accused of unlawfully using Jinmen's online meeting data without permission, violating market competition order and damaging Jinmen's legitimate competitive interests [1][4][6]. Group 1: Legal Proceedings - The Shanghai Pudong New District People's Court ruled in favor of Jinmen, stating that Xunru's actions constituted unfair competition by exceeding the whitelist mechanism and using meeting data without authorization [1][7]. - The court ordered Xunru to cease the unfair competition behavior, pay Jinmen 4 million yuan in economic damages, and publish a statement to mitigate the negative impact of its actions [8][19]. - The case is currently in the second instance of trial [3]. Group 2: Company Backgrounds - Jinmen, established in 2013, is a leading AI investment research platform that collaborates with 74 brokerage research institutes, focusing on compliance and efficient communication in the financial market [8][12]. - Xunru, founded in 2021, is an AI-driven financial data service provider that aims to enhance the efficiency of institutional investors through AI technology [9][10]. Group 3: Industry Context - The dispute highlights the challenges of using emerging technologies in the financial sector, particularly regarding compliance with regulations and the ethical use of data [10][21]. - The "whitelist" mechanism is crucial for ensuring that only qualified investors access sensitive meeting content, and violations of this mechanism can undermine market integrity [10][22]. - The rise of AI-generated content has led to concerns about the potential for unauthorized dissemination of non-public information, which could disrupt the market ecosystem [10][21]. Group 4: Implications and Reactions - Jinmen's founder expressed frustration over the unauthorized use of their data, likening the situation to "stealing peaches" from a hard-earned investment [1][14]. - The court's ruling is seen as a critical step in protecting the rights of companies in the financial sector against unauthorized data usage [19]. - Jinmen is committed to legal action to safeguard its interests and maintain the integrity of the financial information ecosystem [21][22].

Core Insights - The report highlights a shift in the financial research landscape from "universal models" to a "matrix of specialized agents" empowered by AI, which aims to reduce time-consuming and repetitive tasks traditionally reliant on analysts' complex skills [2] - AI tools like AlphaEngine can quickly construct DCF models and provide target price ranges for companies, significantly enhancing decision-making support [2][14] - Compared to general AI models like DeepSeek, AlphaEngine and Alpha agents focus on deep optimization for vertical research scenarios, emphasizing task automation and industry chain integration [2] - The integration of AI in asset allocation is expected to yield sustainable excess returns, necessitating the combination of AI outputs with human expert qualitative judgments [2] AlphaEngine Application Cases - AlphaEngine can efficiently assist in financial valuation modeling by processing extensive data and generating structured outputs, including target price ranges based on various scenarios [14][21] - The tool's ability to reference reliable research reports enhances the credibility of its outputs, effectively mitigating the "AI hallucination" issue [14][23] Alpha派 Application Cases - Alpha派 serves as an intelligent investment research app that can generate performance reviews for specific companies, allowing users to customize the analysis style and focus points [66] - The platform's ability to provide structured outputs and reference relevant reports aids in data verification and reduces the risk of misinformation [69] Comparison of AlphaEngine and Alpha派 - AlphaEngine is characterized by its detailed and foundational approach, providing comprehensive background and framework comparisons, making it suitable for in-depth research [93] - Alpha派 is designed for efficiency and clarity, offering concise insights and actionable strategies, making it ideal for decision-makers needing quick access to core viewpoints [93]

Core Insights - The article discusses the challenges and opportunities in the application of AI in the financial industry, highlighting the contrast between consumer (C-end) and enterprise (B-end) markets [3][4] - The company XunTu Technology has successfully leveraged AI to create a financial research assistant, Alpha Pai, which has gained significant traction among institutional investors [4][5] Group 1: AI Market Analysis - A study by Louisiana State University found that 58.3% of user reviews for C-end AI applications were negative, indicating a struggle to convert AI technology into measurable value [3] - In contrast, the B-end market for AI applications, particularly in finance, is clearer due to the industry's focus on efficiency and ROI [3][4] - The report by Tencent Research Institute and PwC emphasizes that the financial industry's essence lies in information processing and risk pricing, aligning well with the capabilities of large AI models [3][4] Group 2: Company Overview - XunTu Technology recently completed over 100 million RMB in Pre-A financing, led by prominent venture capital firms [4] - Alpha Pai has become widely used among institutional investors in Lujiazui, with over 80% of online meetings in the secondary market featuring its AI meeting assistant [4][5] - The company has achieved the highest user stickiness among global financial AI products, significantly outpacing competitors [13] Group 3: Product Development and User Engagement - The founder of XunTu, Li Luodan, observed a significant increase in online meetings during the pandemic, leading to a demand for efficient meeting management solutions [5][6] - The company conducted extensive interviews with fund managers to identify user needs, which informed the development of Alpha Pai [6][9] - XunTu's approach emphasizes solving user pain points through practical methods, such as building specialized financial vocabularies and implementing a traceability mechanism in their products [8][9] Group 4: Future Vision and Market Position - XunTu aims to evolve Alpha Pai from a task-oriented assistant to a business-oriented assistant, integrating deeper into the investment workflow [14][18] - The company envisions a future where AI can handle complex tasks, enhancing decision-making capabilities for financial analysts [19][20] - XunTu is positioned to expand internationally, aiming to establish itself as a leading independent financial information platform amid the global market's structural changes [20][21]

Core Insights - XunTu Technology has completed over 100 million RMB in Pre-A round financing, led by Sequoia China and GL Ventures, with participation from Zhongding Capital and Jiacheng Capital [2] - Founded by 90s entrepreneur Li Luodan in 2021, XunTu Technology has pioneered a new path in AI-enabled investment research, with its core product AlphaPai addressing key pain points in the industry [3] - AlphaPai has served over 70,000 investment research personnel across more than 6,000 institutions, focusing on enhancing productivity and value creation in investment research [3] Company Vision and Strategy - Li Luodan emphasizes that XunTu Technology aims to equip financial institutions with advanced research tools necessary for global market competition, positioning itself as a new type of infrastructure in the financial investment sector [4] - The recent financing will accelerate the construction of AI-driven "financial new infrastructure" and support global expansion, aligning with official pilot projects aimed at digital transformation in the industry [4] - GL Ventures highlights that XunTu Technology's AlphaPai is a phenomenal vertical application that transforms AI into a productivity accelerator for investment researchers, contributing to a compliant, efficient, and interconnected industry ecosystem [4]

中证报中证网讯（王珞）10月22日，高瓴创投官方微信公众号消息，金融AI赛道的先行者与领跑者讯 兔科技宣布完成超1亿元人民币的Pre-A轮融资。本轮融资由高瓴创投（GLVentures）和红杉中国联合领 投，钟鼎资本和嘉程资本跟投。 据了解，本轮融资将用于加速构建AI驱动的金融"新基建"，并推动讯兔科技全球化布局。多家知名基金 的联合投资，为讯兔科技的长远发展奠定了坚实的基础。 根据讯兔科技官网介绍，公司成立于2021年，为AI驱动的金融数据与生产力服务商，致力通过AI Agent 大幅提升全球机构投资者的工作效率、提高资本市场的信息有效性，公司创始人兼CEO李罗丹为"90 后"。"讯兔科技是'冬天的孩子'，公司连续成功穿越了资本寒冬与行业调整，开创了AI赋能投资研究的 全新路径，展现了极强的生命力与创造力。"李罗丹表示。 据公司介绍，作为行业内第一个将AI技术成功落地于投资研究场景的应用，讯兔科技的核心产品Alpha 派从"会议"这一核心痛点切入，凭借AI纪要助理迅速赢得了用户青睐。推理模型发布后，公司加大创新 投入，推出了包括"公司一页纸、业绩点评、调研大纲"在内的AI Agent（人工智能助理）矩阵，以 ...

Core Viewpoint - The article discusses a legal ruling in favor of Jinmen, a leading AI investment research platform, against XunTu Technology for unfair competition, emphasizing the importance of compliance and ethical standards in the securities industry [2][5][10]. Group 1: Legal Ruling Details - The Shanghai Pudong New District People's Court ordered XunTu Technology to immediately cease its unfair competition practices and remove all unauthorized online roadshow meeting data from its platforms [5][6]. - XunTu Technology is required to compensate Jinmen for economic losses of 4 million yuan and reasonable expenses of 100,000 yuan within ten days of the ruling [5][6]. - The court mandated XunTu to publish a statement on its website and app to mitigate the negative impact caused by its actions, with the statement subject to court review [5][6]. Group 2: Court's Key Findings - The court highlighted that all online roadshow meeting data, including audio, transcripts, and AI-generated summaries, must be removed as they were shared without permission [6][10]. - The ruling emphasized that unauthorized copying and public sharing of online roadshow content violate compliance and ethical standards in the securities industry [7][9]. - The court noted that the use of AI technology does not justify unfair competition, as the tools used do not affect the legality of competitive behavior [11][13]. Group 3: Industry Implications - Jinmen's adherence to compliance and ethical standards has established its market position, which is crucial for maintaining competitive advantages in the securities industry [21]. - The article warns other industry players against engaging in similar unfair practices, urging them to respect intellectual property and uphold fair competition [17][20]. - The court's decision serves as a reminder that the duration and extent of infringement will be considered in assessing the severity of competitive misconduct [18][19].

Core Viewpoint - The training conducted by Zhang Ziming emphasized the integration of AI technologies into the fund industry, highlighting the importance of AI in enhancing operational efficiency and decision-making processes. Group 1: AI Development and Application - Zhang Ziming outlined the evolution of AI technology from its early stages to its current applications, focusing on the distinction between generative AI, which emphasizes content creation, and decision-making AI, which focuses on optimizing decisions [3]. - The training included a detailed explanation of structured prompt engineering frameworks such as CO-STAR, TCREI, and CRISPE, demonstrating how to generate high-quality marketing content for funds using the RBTR method [3]. Group 2: Fund Marketing Techniques - Practical techniques for generating marketing content, images, and videos using AI were showcased, with participants experiencing the entire process from market analysis to complete marketing copy generation [3]. - Zhang Ziming demonstrated the use of DeepSeek to analyze fund product selling points and quickly generate attractive marketing content related to trending themes like carbon neutrality [3]. Group 3: Investment Research Empowerment - The training introduced professional AI tools like Reportify and Alpha派, showcasing their applications in data collection, information organization, and visual analysis, significantly enhancing the efficiency of investment research personnel [4]. - Zhang Ziming emphasized that AI is not meant to replace investment researchers but to free them from tedious information processing, allowing them to focus on value judgment and decision-making [4]. Group 4: Future Directions of AI in Business - The Unforeseen AI Research Institute aims to assist more enterprises in achieving "AI+" strategic transformation, maintaining competitive advantages in the era of intelligence through dual-driven strategies of "AI strategy + technology empowerment" [6].