Group 1 - ByteDance's overseas AI assistant Dola has surpassed 10 million daily active users, focusing on dialogue Q&A, writing, translation, and image capabilities, positioning itself as a one-stop assistant for writing, thinking, and creation [2] - Zhiyun has made progress in Malaysia's sovereign AI development, launching a national MaaS platform and the Z·UM AI Lab, which is optimized for Malaysia's multilingual environment and maintains a data security architecture centered on sovereignty [2] - SenseTime's daily new version 6.5 ranked first in the domestic visual reasoning dimension with a total score of 75.35 in the SuperCLUE evaluation report, winning a gold medal [2] Group 2 - YuanLab.ai has officially open-sourced the Yuan 3.0 Flash multimodal foundational model, which has 40 billion parameters and utilizes a sparse mixture of experts architecture, significantly reducing computational costs while improving inference accuracy [2]

Investment Rating - The report maintains an investment rating of "Outperform the Market - A" [5] Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) showcased significant advancements in AI technology, particularly in computing power, algorithms, and applications, indicating a robust growth trajectory for the industry [12][60] - Domestic manufacturers are progressively enhancing their chip performance from inference to training, emphasizing ecosystem support and application scenarios [13][60] - The report highlights the emergence of quantum computing as a disruptive innovation in the computing power industry, with potential for exponential growth in computational capabilities [38][39] Summary by Sections 1. Industry Overview - The WAIC 2025 featured over 800 companies and more than 3000 cutting-edge exhibits, marking the largest scale in its history [12] - The conference focused on AI technology frontiers, industry trends, and global governance practices [12] 2. Computing Power - Domestic chip manufacturers are evolving from inference-focused AI chips to high-performance training chips, showcasing various industry applications [13] - The report notes the importance of supernodes, integrated machines, and liquid cooling solutions as key trends in the future of domestic AI computing power [18][19] 3. Algorithms - The evolution of large models is highlighted, with a shift towards multi-modal capabilities and the integration of deep reasoning and thinking abilities [43][44] - The report emphasizes the growing importance of AI agents and physical AI, which aim to enable intelligent agents to understand and interact with the real world [43][44] 4. Applications - The report identifies a flourishing landscape for both B2B and B2C AI applications, with significant advancements in areas such as AI glasses, smart driving, and robotics [60] - C-end applications focus on AIGC and productivity tools, while B-end applications emphasize cost reduction and efficiency improvements across various sectors [60][61] 5. Quantum Computing - Quantum computing is positioned as a critical future technology, with companies showcasing solutions that leverage quantum mechanics for superior computational capabilities [38][39]