AI下一程：从“单点突围”到“生态共进”

Core Insights - The core theme of HAIC2025 is the importance of "open computing" in driving AI industry collaboration and overcoming existing challenges in the Chinese AI sector [3]. Group 1: AI Development and Challenges - AI is becoming a core engine for new productivity, but traditional scaling methods are insufficient for sustaining rapid AI iteration [2]. - The Chinese AI industry faces two main challenges: breaking through the computing power bottleneck and achieving inclusive computing power [3]. - The current closed systems are expensive, and there is a mismatch in supply and demand for computing resources, which hinders the development of small and medium enterprises [3]. Group 2: Technological Innovations - The scaleX supercluster, designed for trillion-parameter models and complex tasks, was showcased at HAIC2025, featuring innovations in architecture and performance [4]. - The scaleX supercluster has achieved a 20-fold increase in computing density per cabinet and supports multiple brands of AI acceleration cards, significantly lowering overall ownership costs [4]. Group 3: Strategic Collaborations - Strategic partnerships were formed during HAIC2025, including collaborations between SenseTime, Daxiao Robotics, and Inspur to advance world models on domestic computing platforms [5]. - The new Kairos 3.0 world model supports complex scene modeling and interaction generation, demonstrating deep compatibility with the scaleX supercluster [5]. Group 4: Future Directions in AI - Future AI development is characterized by "two supers," "one openness," and "two integrations," emphasizing the need for high-density computing and open ecosystems [5]. - The AI supercluster represents a promising direction, overcoming traditional communication bottlenecks and enhancing computational efficiency [5]. Group 5: AI+ Applications - HAIC2025 highlighted numerous successful AI+ applications, including the launch of the world's first multimodal language model focused on geographic sciences [6]. - Examples of AI+ applications include the use of AI in the rapid iteration of domestic electric vehicles and smart road systems in Gansu province for traffic management [6].