Core Insights - The World Internet Conference in Wuzhen emphasizes the importance of an open ecosystem for accelerating technological innovation and value release in the digital transformation era [1][2] - Open-source models are highlighted as crucial for fostering collaboration and breaking down development barriers in the network information technology industry [1] - The need for a foundational operating system that adapts to diverse devices is underscored, with "chip + operating system" being identified as the core of information technology [1][2] Group 1 - The theme of the forum is "Building Ecosystems Together, Sharing Development Opportunities," focusing on future directions and pathways for the network information industry [1] - Philipp Tomsich from the RISC-V International Foundation emphasizes the expansion of global open standards and ecosystems over the past decade, noting that open-source opportunities are increasing [1] - Wang Chenglu, CEO of Shenzhen Kaihong Digital Industry Development Co., Ltd., discusses the importance of an operating system that facilitates device collaboration in the era of the Internet of Things [2] Group 2 - AI technology is transforming industry shapes and development models, but fragmented deployment is limiting its value, presenting a significant challenge for creating an efficient and secure AI application ecosystem [2] - Prashanth Kalika from Cisco introduces the concept of an AI unified architecture, which aims to integrate data collection, training, reasoning, and automation seamlessly [2] - Wei Liang from the China Academy of Information and Communications Technology stresses the need for an effective evaluation system to ensure the reliability of terminal intelligent agents [2]

Core Viewpoint - The 2025 World Internet Conference in Wuzhen emphasizes the importance of an open ecosystem for accelerating technological innovation and collaboration in the digital transformation era [1][3]. Group 1: Open Standards and Ecosystem - Open standards and architectures are essential for innovation, as highlighted by Philipp Tomsich from the RISC-V International Foundation, who noted the expansion of global open standards and ecosystems over the past decade [3]. - The open-source model is seen as a crucial factor for faster cross-border collaboration and enhancing competition within the chip technology sector [3]. Group 2: AI and Industry Transformation - AI technology is significantly altering industry structures and development models, but the fragmented deployment of AI applications poses challenges for realizing its full value [3]. - There is a need to build an efficient, collaborative, and secure AI application ecosystem to address these challenges [3]. Group 3: Unified AI Architecture - Cisco's global vice president, Prashanth Kalika, discussed the need for a unified AI architecture that integrates data collection, training, inference, and automation to resolve the traditional split between cloud and edge deployments [4]. - The goal is to achieve adaptive optimization through bidirectional data flow [4]. Group 4: Evaluation Systems for Intelligent Endpoints - The development of intelligent endpoints requires an effective evaluation system to ensure traceability and identify potential risks, as stated by Wei Liang from the China Academy of Information and Communications Technology [4]. - Establishing a precise assessment method is crucial for the reliable operation of intelligent endpoints [4].