Group 1: Investment and Strategic Initiatives - Shanghai Pudong New Area, as the first national pilot zone for AI innovation applications, has made a new investment move in the large model field, with a total investment of 1 billion yuan from Pudong Venture Capital Group and Zhangjiang Group in Zhipu [1] - The "Computing Power Model" AI infrastructure collaboration, led by Shanghai Yidian and involving Pudong Development Bank and Zhipu, aims to create an industrial closed loop of "energy + computing power + models + applications" [1] - The Pudong New Area is accelerating the construction of a global leading hub for vertical models, with nearly 70 vertical large model companies gathered in the Zhangjiang Model Community [1][2] Group 2: AI Development Strategy - The Shanghai Municipal Economic and Information Commission emphasizes that developing AI is a major strategic task for Shanghai, promoting deep integration of AI with traditional and emerging industries [2] - Pudong is committed to nurturing a thriving AI full industry chain and will support Zhipu and other innovative entities in exploring new technologies and applications in generative AI [2] - The goal is to create benchmark applications that address real industry pain points by integrating deep industry knowledge into key sectors such as fintech, biomedicine, embodied intelligence, and smart manufacturing [2] Group 3: Technological Advancements - Zhipu's CEO announced two latest achievements towards AGI, including the open-source release of the new generation general visual language model GLM-4.1V-Thinking, designed for complex cognitive tasks with a focus on reasoning capabilities [3] - The GLM-4.1V-Thinking model supports multi-modal inputs such as images, videos, and documents, setting a new performance benchmark for 10 billion-level multi-modal models [3][6] - The launch of the MaaS (Model as a Service) platform "Application Space" aggregates various Agent applications and model plugins, enabling businesses to access mature and controllable AI capabilities without building their own large model teams [9]