Core Viewpoint - Zhaolong Interconnect's stock price closed at 49.12 yuan on July 30, 2025, reflecting a decline of 1.17% from the previous trading day, with a trading volume of 651 million yuan [1] Group 1: Company Overview - Zhaolong Interconnect specializes in the research and manufacturing of data cables, specialized cables, and connection products, with applications in data centers, industrial automation, and communication networks [1] - The company's product range includes copper cable high-speed connections and optical communication modules, covering multiple technological fields [1] Group 2: Recent Developments - The company recently announced on its investor interaction platform that its products, such as robot cables, Fakra coaxial components, and single-pair Ethernet cables, are applicable in the robotics sector [1] - Zhaolong Interconnect has become a core partner for a leading international interconnect solutions provider in the active cable domain [1] Group 3: Market Activity - On July 30, 2025, Zhaolong Interconnect experienced a net outflow of main funds amounting to 44.78 million yuan, which represents 0.36% of its circulating market value [2]

Core Viewpoint - A new AI technology from China, known as AI Flow, is gaining significant attention and praise on international social media platforms, indicating its potential to redefine the AI landscape globally [2][4][70]. Group 1: Technology Overview - AI Flow is a key technology at the intersection of AI and communication networks, enabling intelligent interactions and emergent intelligence through a layered network architecture [7][28]. - Developed by China Telecom's TeleAI team, led by Professor Xuelong Li, AI Flow aims to facilitate seamless AI applications across various devices and platforms [9][8]. - The technology has been recognized by global market research firms, with Omdia highlighting its potential to support resource-intensive applications like autonomous vehicles and drones without compromising on latency or performance [13][14]. Group 2: Technical Innovations - AI Flow incorporates three core technological directions: Device-Edge-Cloud Collaboration, Familial Models, and Connectivity- and Interaction-based Intelligence Emergence [30][68]. - The Device-Edge-Cloud Collaboration framework allows for distributed reasoning, enhancing the responsiveness of AI services by optimizing task allocation across different network layers [33][34]. - Familial Models enable flexible scaling and efficient collaboration among models of varying sizes, allowing for resource optimization and avoiding redundant computations [50][52]. Group 3: Addressing AI Challenges - AI Flow addresses the challenge of AI's dependency on cloud computing, which often leads to unacceptable latency in critical applications like autonomous driving and surgical robotics [20][24]. - The technology proposes a solution to the "last mile" dilemma of AI integration by allowing intelligence to flow freely between edge devices and cloud resources, thus enhancing real-time responsiveness [25][28]. - By focusing on connectivity and collaboration rather than solely on computational power, AI Flow presents a new paradigm for AI development, emphasizing the importance of network infrastructure [70][71].