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]