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Core Viewpoint - The article discusses the launch of the Alpha Brain and AlphaBot 2 by the company Zhi Ping Fang, highlighting advancements in embodied intelligence and the integration of DeepSeek technology into their VLA model [1][3][7]. Summary by Sections Product Launch - Zhi Ping Fang introduced the Alpha Brain, a fully self-developed global and omni-body VLA model, and the new generation bionic robot AlphaBot 2, showcasing capabilities in efficient interaction and autonomous action across various environments [1][3]. Technology Overview - The GOVLA model consists of a spatial interaction base model, a slow system for complex reasoning, and a fast system for real-time actions, enhancing the robot's ability to understand and execute long-range complex tasks [5][12]. - The integration of DeepSeek technology into the VLA model significantly improves reasoning capabilities, allowing for better task understanding and analysis [5][7]. Market Position - Zhi Ping Fang is positioned as a leading player in the embodied intelligence sector, being one of the first companies to systematically develop end-to-end VLA models, achieving commercial success ahead of competitors [14][22]. - The company has signed contracts with several top-tier domestic and international automotive and high-end manufacturing companies, aiming for significant revenue growth in the coming years [20][24]. Business Development - The company has set ambitious commercialization goals, including achieving a production scale of 10,000 units by 2028 and contributing to a revenue target of 10 billion by 2030 [20][22]. - Recent funding rounds have attracted significant investment, indicating strong market interest and confidence in the company's technology and business model [25]. Industry Trends - The article notes a trend of automotive industry professionals transitioning into the embodied intelligence sector, leading to increased competition and innovation within the field [22][23]. - The embodied intelligence market is becoming crowded with companies from the automotive and autonomous driving sectors, indicating a shift towards more integrated approaches in robotics [23][24].