Core Insights - Kunlun Wanwei has launched the SkyWork AI technology release week, introducing new models daily from August 11 to August 15, covering cutting-edge multi-modal AI core scenarios [1] - The Skywork Deep Research Agent v2, released on August 14, serves as the core engine for the Skywork Super Agents, significantly enhancing the role of large models in the AI Office domain [1][3] Technology Breakthroughs - The Skywork team has achieved breakthroughs in four key areas: multi-modal crawling technology (MM-Crawler), long-distance multi-modal information collection, asynchronous parallel multi-agent understanding architecture, and multi-modal result presentation capabilities [2] - The new version of Skywork Deep Research Agent v2 effectively integrates text and image reading, providing users with comprehensive, smooth, and visually friendly deep reports [2] Performance and Capabilities - The Skywork Browser Agent simulates human browsing and interaction, revolutionizing traditional data collection and analysis methods, and effectively addresses multiple pain points of conventional browser agents [3] - The Skywork Deep Research Agent v2 incorporates various enhancement mechanisms, including high-quality data synthesis and training, end-to-end reinforcement learning, efficient parallel reasoning, and a multi-agent self-learning evolution system, achieving state-of-the-art performance in multiple agent task evaluations [3] Evaluation and Results - In the authoritative search evaluation list BrowseComp, Skywork Deep Research has outperformed most similar products, achieving an accuracy rate of 27.8% in standard mode [4] - When utilizing the proprietary "Parallel Thinking" mode, the accuracy rate increases to 38.7%, setting a new industry SOTA record, with performance improving as thinking time increases [4]