Mei Ri Jing Ji Xin Wen·2025-09-24 07:25Core Insights - Alibaba officially announced a collaboration with NVIDIA for Physical AI, covering various aspects such as data synthesis, model training, environmental simulation reinforcement learning, and model validation testing [1] - Alibaba's stock surged over 9% on September 24, reaching its highest level since October 2021 [1] Group 1: AI Developments - Alibaba's Quark launched a new AI creation platform called "ZaoDian," integrating AI-generated images and videos, and connecting to the Wan2.5 model [3] - The Qwen3-Max model was introduced, outperforming GPT-5-Chat in the LMArena text ranking, showcasing advancements in coding and agent capabilities [3] - CEO Wu Yongming emphasized the evolution of human-AI collaboration, predicting that AI will significantly enhance human intelligence and capabilities [3][5] Group 2: Future Projections - Wu stated that by 2032, the energy consumption of Alibaba Cloud's global data centers will increase tenfold compared to 2022, indicating a substantial rise in computational investment [5] - The path to Super AI (ASI) is divided into three stages: emergence of intelligence, autonomous action, and self-iteration, with the ultimate goal of surpassing human capabilities [5] - Wu projected that there may be more agents and robots than the global population, working alongside humans and impacting the real world significantly [5] Group 3: New Product Releases - The first new product released was the open-source security model "Guard," which includes generative and streaming versions for real-time safety assessments [6] - The "Qianwen Travel Planner" was introduced, capable of generating detailed travel plans based on user inputs, including budget and preferences [7] - A simultaneous interpretation API, "qwen3-livetranslate," was launched, facilitating seamless communication across languages, particularly beneficial for cross-border e-commerce [7] - The Qwen3-Coder API was upgraded, enhancing its programming capabilities and agent features, surpassing traditional code completion tools [8] - The Qwen3-VL model was released as the most powerful visual-language model to date, with significant advancements in visual tasks [8] - The flagship model Qwen3-Max was launched, featuring 1 trillion parameters and improvements in understanding and instruction adherence [8]