是「福尔摩斯」，也是「列文虎克」，智谱把OpenAI藏着掖着的视觉推理能力开源了

Core Viewpoint - The article discusses the capabilities and applications of the open-source visual reasoning model GLM-4.5V, highlighting its advanced image recognition, reasoning abilities, and potential use cases in various fields [6][11][131]. Group 1: Model Capabilities - GLM-4.5V demonstrated strong visual reasoning skills by accurately identifying locations from images, outperforming 99.99% of human players in a global game [9][10]. - The model can analyze complex images and videos, providing detailed insights and summaries, which indicates its potential as a GUI agent application [10][11]. - It excels in recognizing and interpreting visual elements, even in challenging scenarios such as visual illusions and occlusions [19][20][54]. Group 2: Practical Applications - GLM-4.5V can accurately predict geographical locations from images, providing detailed location data in JSON format [21][27]. - The model's ability to read and interpret complex documents, including charts and graphs, enhances its utility for users needing local processing without cloud dependency [101][109]. - It can assist in various tasks, such as coding, video summarization, and document analysis, making it a versatile tool for developers and researchers [58][71][128]. Group 3: Technical Specifications - GLM-4.5V features 106 billion total parameters and supports 64K multi-modal long contexts, enhancing its processing capabilities [127][128]. - The model employs advanced techniques such as 2D-RoPE and 3D-RoPE for improved image and video processing, showcasing its technical sophistication [127][128]. - Its training involved a three-phase strategy, including pre-training, supervised fine-tuning, and reinforcement learning, which contributed to its state-of-the-art performance in various benchmarks [128][130]. Group 4: Industry Impact - The open-source nature of GLM-4.5V allows for greater transparency and customization, enabling developers to tailor the model to specific business needs [131][132]. - The shift from performance benchmarks to real-world applications signifies a growing emphasis on practical utility in AI development, with GLM-4.5V positioned as a foundational model for various industries [131][132]. - This model represents an opportunity for developers to collaboratively shape the future of AI, moving beyond mere competition to creating real-world value [133].