上海AI大会全景观察：大模型、具身智能与国产算力的角力场

Group 1: Large Models - Tencent launched the open-source "Hunyuan 3D World Model," enabling rapid creation of 3D virtual worlds from text or images, significantly lowering content creation barriers [4] - NetEase introduced the "Lingjue" model for open-pit mining, featuring an end-to-end integrated model that enhances performance and ensures technology safety through complete domestic control [4] - JD.com upgraded its "JoyAI" model matrix, offering models ranging from 3 billion to 750 billion parameters, demonstrating deep integration with various industries and enhancing targeted solutions for businesses [5] Group 2: Embodied Intelligence and Robotics - Over 150 humanoid robots were showcased, with Shanghai Zhiyuan's "Tiangong Ultra" robot demonstrating advanced movement and emotional interaction capabilities, having won a half-marathon [6] - Beijing Galaxy's VLA model robot successfully performed retail item retrieval, showcasing its ability to adapt to random object placements [6] - Other robots, such as the first electric inspection robot and the Cyborg-R01 heavy-duty robot, highlighted advancements in autonomous capabilities and performance [7] Group 3: Domestic Computing Power - Domestic computing power development was emphasized, with companies like Muxi showcasing the Xiyun C600 GPU, designed for AI training and inference, featuring advanced memory bandwidth [9] - Zhonghao Xinying's "Shan" TPU series demonstrated energy efficiency improvements and strong scalability for AI model computations [10] - Huawei's "384 Super Node" was unveiled, supporting extensive model adaptations across various industries, showcasing significant advancements in computing capabilities [11] Group 4: Summary and Outlook - The WAIC showcased significant advancements in AI, with large models expanding into multimodal applications, embodied intelligence and robotics moving towards practical use, and domestic computing power achieving comprehensive localization [12] - Despite progress, challenges remain in technology implementation, industry collaboration, and talent development, necessitating collective efforts to address issues such as data privacy and cost control [12] - The future of AI is expected to bring transformative changes across various sectors, with WAIC continuing to serve as a vital platform for industry innovation and development [12]