作者：闫滟 来源：科技最前线 (kejizqx) 2025年底，Meta宣布以数十亿美元收购AI智能体公司Manus，迅速点燃了科技界对Agent赛道的无限想象。然而在这场属于硅谷的喧嚣之外，一段更早的 产业伏笔却鲜被提及：Manus创始人肖弘的上一家创业公司"夜莺科技"，早在几年前就已被中国AI公司明略科技收入麾下。 这并非一次偶然的资本操作，而是一次对技术路线的早期锚定——明略科技很早之前，就在思考如何让AI从擅长对话的"思考者"，进化为能执行复杂任 务、创造真实价值的"行动者"。 当基础大模型展现的通用潜力已被充分讨论，行业目光正从"知道什么"转向"能做到什么"——如何让AI在企业中变得言必有据、行必有果？对此，明略科 技以自身实践给出了一个清晰的回答：成为深耕于企业真实场景的 "AI专才"。 "通才"与"专才"： 中国AI生态的百花齐放 具体而言，明略的核心优势体现在其DeepMiner平台所构建的 "执行层"能力，尤其是在浏览器使用能力（BUA）与计算机使用能力（CUA）上表现抢眼。 这一能力由其专有的"AI灵巧手"Mano模型所驱动，该模型在全球权威GUI操作基准测试中达到顶级水平，确保了AI在图 ...

Core Viewpoint - The article emphasizes the importance of adapting the environment for robots rather than solely focusing on changing the robots themselves, suggesting that specialized robots can be more efficient in specific contexts [2][3]. Group 1: General and Specialized Robots - The current mainstream view suggests that humanoid robots are the future due to their ability to adapt to human environments, but the cost and efficiency of such robots are still significant challenges [3]. - A reverse approach is proposed, where instead of making robots fit human environments, the environments can be modified to suit specialized robots [3][4]. Group 2: Application Scenarios - In consumer scenarios, such as homes, certain elements cannot be changed, but in B2B contexts like factories or hotels, environments can be optimized for robot use [4]. - Future applications may include sending robots to Mars, where they can operate in environments that are not suitable for humans [4]. Group 3: Model Development - The company has recently launched a model called Mano, which is a small model designed for safe deployment on client computers, allowing for offline operation and improved efficiency [4]. - The company believes that smaller models can effectively handle most tasks, while only a few complex tasks require larger models [5]. Group 4: Model Architecture - The article discusses the MoE (mixture of experts) architecture, which is complex and requires training both specialized models and a larger model [5]. - The newly introduced multi-agent platform DeepMiner utilizes a MoA (mixture of agents) architecture, which is more open and efficient, allowing for distributed parallel development [5][6]. Group 5: Future Outlook - The company envisions a future where there are multiple types of robots and models, promoting diversity in tasks and applications [7]. - The goal is to develop AI models that enhance human happiness and efficiency in various tasks [7].

Core Insights - Artificial intelligence is significantly transforming both personal and professional environments, moving from consumer applications to business solutions [1] - Minglue Technology has launched its proprietary model line, DeepMiner, aimed at addressing the challenges of accuracy, transparency, and verifiable decision-making in business data analysis [1][2] - DeepMiner utilizes a multi-agent architecture to enhance human-machine collaboration, providing analytical support across various sectors such as advertising, retail, and cross-border e-commerce [1] Company Overview - Minglue Technology has received approval for overseas listing through the Hong Kong Stock Exchange under the 18C rule, with a planned IPO date of August 29, 2025 [2] - The company has raised a total of $616 million from investors including Tencent, Sequoia China, Temasek, Jintuo Capital, and Huaxing Capital from 2010 to 2024 [2] - The main business segments of Minglue Technology include marketing intelligence, operational intelligence, and industry solutions [2] Financial Performance - Revenue figures for Minglue Technology from 2022 to 2024 are as follows: 1.269 billion yuan in 2022, 1.462 billion yuan in 2023, and a projected 1.381 billion yuan in 2024, indicating a year-on-year decline of 5.5% for 2024 [2] - The net profit for the company is expected to decline by 97.5% year-on-year in 2024 [2]