明略科技吴明辉：未来全世界不应该只有一种机器人，也不应该只有一种模型

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].