2025.10. 08 本文字数：1124，阅读时长大约2分钟 作者 | 第一财经 钱童心 10月8日，软银集团宣布重磅投资。公司拟以54亿美元收购瑞士工业巨头ABB的机器人业务部门。此 举是日本商业大亨孙正义掌控的这家大型科技集团押注通用人工智能（AGI）的最新举措。 人工智能正在重塑机器人领域，这也是软银商业版图中的重要投资板块。孙正义对机器人投资充满热 情，孙正义提出人工超级智能（ASI）的理念，他认为未来十年内，人工智能将比人类聪明一万倍。 他曾在与英伟达CEO黄仁勋进行的一场炉边对话中表示："未来每个人都会有自己的AI智能体，它就 像人的第二个身体，能看到你，可以跟你对话，管理你的生活日常。" 通过投资ABB机器人，软银将进一步充实机器人板块的布局。此前，该公司已经拥有包括Agile Robots以及AutoStore在内的机器人相关企业的投资。 不过，软银对机器人的投资也有失败的经历。该公司曾于2012年收购法国机器人公司Aldebaran多 数股权。两年后，两家公司推出了一款Pepper的人形机器人，但最终未能赢得市场的认可。 相比于人形机器人而言，工业机器人的商业化路径更为清晰。工业机器人也是 ...

通过投资ABB机器人，软银将进一步充实机器人板块的布局。此前，该公司已经拥有包括Agile Robots 以及AutoStore在内的机器人相关企业的投资。 2025.10.08 本文字数：1124，阅读时长大约2分钟 作者 |第一财经 钱童心 10月8日，软银集团宣布重磅投资。公司拟以54亿美元收购瑞士工业巨头ABB的机器人业务部门。此举 是日本商业大亨孙正义掌控的这家大型科技集团押注通用人工智能（AGI）的最新举措。 软银集团董事长孙正义表示，软银的下一个前沿领域是物理人工智能（physical AI）。"我们将与ABB 机器人一起，将世界一流的技术和人才结合起来，融合人工智能和机器人技术，推动突破性的进化，推 动人类前进。" 孙正义近年来将软银的使命定义为"推动人类进化"。他看好人工智能与机器人的结合，并认为这是通往 AGI的重要路径。孙正义预测，通用人工智能将在未来2-3年内率先由大企业实现，并在未来十年内全 面实现。"要实现这一目标，需要巨额的资金，而这些资金目前只有大型企业才具备。"他表示。 人工智能正在重塑机器人领域，这也是软银商业版图中的重要投资板块。孙正义对机器人投资充满热 情，孙正义提出人 ...

人工智能正在重塑机器人领域，这也是软银商业版图中的重要投资板块。孙正义对机器人投资充满热情，孙正义提出人工超级智能（ASI）的理念，他认为 未来十年内，人工智能将比人类聪明一万倍。 通过投资ABB机器人，软银将进一步充实机器人板块的布局。此前，该公司已经拥有包括Agile Robots以及AutoStore在内的机器人相关企业的投资。 不过，软银对机器人的投资也有失败的经历。该公司曾于2012年收购法国机器人公司Aldebaran多数股权。两年后，两家公司推出了一款Pepper的人形机器 人，但最终未能赢得市场的认可。 相比于人形机器人而言，工业机器人的商业化路径更为清晰。工业机器人也是目前包括英伟达在内的科技巨头看好的领域。今年早些时候，英伟达推出全球 首个生成式世界基础模型Cosmos，为机器人制造商提供底层模型，部署用于训练人工智能机器人的软件层到内置芯片的所有环节。 包括黄仁勋在内的很多科技行业领导者都认为，机器人技术的ChatGPT时刻即将到来。"人工智能的下一波浪潮是物理人工智能——也就是能够理解物理定 律的人工智能，可以在我们之中工作的人工智能。"黄仁勋表示。 10月8日，软银集团宣布重磅投资。 ...

Core Insights - The latest video generation model, Imagine v0.9, developed by xAI, has been released for free to all users, potentially as a direct response to OpenAI's Sora 2 model [1][8] - Imagine v0.9 boasts faster video generation times of under 20 seconds, while Sora 2 may take one to two minutes [3] - The model allows users to create videos, images, and text through a voice-first interface, enhancing user experience [1][5] Comparison with Sora 2 - Imagine v0.9 is available for free, while Sora 2 operates on an invitation-only basis [3] - The maximum video length for Imagine v0.9 is approximately 6 seconds, compared to Sora 2's 15 seconds [3] - Despite its advancements, Imagine v0.9 has been noted to have issues with prompt understanding and synchronization between audio and video [3][6] Technical Features - Imagine v0.9 integrates with Grok, allowing for the generation of videos from text or user-uploaded images [5] - Key upgrades include motion control, dynamic camera effects, and the ability to add natural dialogue or expressive singing [5] - The model's custom voice feature raises concerns about deepfake risks, as users can upload images and generate realistic videos of public figures [8] User Experience - Initial user experiences indicate that the web version of Imagine v0.9 is not functioning properly, while the mobile version has connectivity issues [4] - The model does not currently support Chinese language input, which limits its accessibility for non-English speakers [7]

Group 1 - Nvidia has launched the Jetson Thor robot computing platform, which is now available for developers at a price of $3,499 [2] - The Thor chip, based on the Blackwell architecture, offers a peak computing power of 2070 TFLOPS at FP4 precision, representing a 7.5 times improvement over the previous Orin chip and a 3.5 times increase in energy efficiency [2] - The current deployment model for robots typically combines cloud and edge computing, with a need for significant computational power for more generalized robot models [2][3] Group 2 - The Thor chip enhances data processing capabilities and interface bandwidth, allowing robots to handle high-resolution, high-frequency sensor inputs locally, which could reduce reliance on cloud processing [3] - Nvidia aims to establish foundational infrastructure in the robotics sector, similar to its strategy before the AIGC boom, to influence industry standards ahead of a potential market explosion [3] - Domestic companies in China are also developing their own solutions, such as the RDK S100 development kit and various chips for different robotic functions, highlighting the competitive landscape [4] Group 3 - The advantages of domestic chips include higher cost-effectiveness and tailored services, which may provide differentiation in market optimization [4] - Despite Nvidia's advancements, the fragmented nature of robot applications presents opportunities for competitors to carve out niches in low-power chips and specialized scenarios [4]

Core Viewpoint - Nvidia is set to unveil a new humanoid robot featuring advanced AI capabilities, referred to as the "new brain" for robots, indicating a significant advancement in physical AI technology [3][6]. Group 1: Product Launch and Features - Nvidia's upcoming humanoid robot is being promoted through a social media campaign, including a video featuring the robot reading a card from CEO Jensen Huang [3][4]. - The new brain technology is designed to be compatible with various humanoid robot models, suggesting a versatile application across different platforms [6]. Group 2: Physical AI Development - Nvidia is accelerating its deployment in the physical AI sector, which is seen as the next wave following generative and agent AI technologies [6]. - The company emphasizes that physical AI relies on neural graphics, synthetic data generation, physical modeling, reinforcement learning, and AI reasoning technologies, which are crucial for modern robotics and autonomous vehicles [6]. Group 3: Market Position and Ecosystem - Nvidia is actively seeking more applications for its GPUs in industrial and robotic fields, where physical AI is increasingly relevant [6]. - The company has established a strong ecosystem for humanoid robots, with many manufacturers opting for Nvidia's solutions due to their comprehensive support, which reduces development time [6]. Group 4: Recent Product Introductions - In January, Nvidia introduced the foundational world model Cosmos at CES, aimed at generating synthetic scenarios for autonomous driving and supporting physical AI system development [7]. - At SIGGRAPH, Nvidia launched an open-source 7 billion parameter visual language model (VLM) called Cosmos Reason, designed to help robots and visual AI agents understand and interact with the physical world [7]. - Nvidia also announced new hardware solutions, including servers equipped with RTX PRO 6000 Blackwell GPUs, targeting enterprise workloads in agent AI, industrial applications, and physical AI [7].

Core Viewpoint - Nvidia is set to unveil a new humanoid robot "black technology," which is a significant advancement in the field of robotics, particularly focusing on a new brain for robots [3][5]. Group 1: Product Launch and Features - The upcoming product is described as a "new brain" for robots, indicating a focus on enhancing robotic intelligence and capabilities [5]. - A promotional video showcased a humanoid robot interacting with a gift box, suggesting that the new brain is compatible with various humanoid robot models [7]. - Nvidia's CEO Jensen Huang emphasized that the next wave of innovation will be in physical AI, which relies on advanced technologies such as neural graphics and reinforcement learning [8]. Group 2: Market Position and Applications - Nvidia is accelerating its deployment of physical AI, particularly in industrial and robotics sectors, which are closely related to the new product [8]. - The company has been actively seeking more applications for its GPUs, with a notable presence in the robotics field through its Jetson Thor GPU onboard computer [8]. - Market research indicates that while many chips meet performance requirements, there are limited solutions for humanoid robots, with Nvidia's offerings being favored due to their comprehensive ecosystem [8]. Group 3: Recent Developments and Innovations - Nvidia has introduced several products related to physical AI, including the Cosmos model for generating synthetic environments and the open-source 70 billion parameter visual language model, Cosmos Reason [9]. - The company is also launching new server versions equipped with RTX PRO GPUs for enterprise workloads related to AI and physical applications [9]. - Upcoming hardware releases include RTX PRO 4000 and RTX PRO 2000 GPUs, aimed at engineering, AI, and 3D visualization applications [9].

Investment Rating - The report maintains an "Increase" rating for the media industry, indicating a positive outlook for the sector [7]. Core Insights - The media sector saw a 1.25% increase during the week of August 11-15, driven by overall market momentum and positive expectations for mid-year reports [11][12]. - The report highlights optimism for the gaming sector and AI applications, particularly in AI companionship, education, and toys, as well as IP monetization opportunities in trendy toys and film content [1][2]. - The report emphasizes the importance of focusing on companies with strong IP advantages and full industry chain potential for investment opportunities [1]. Summary by Sections Market Overview - The media sector's performance is noted with a 1.25% increase, while the top-performing sectors included telecommunications and comprehensive finance [11][12]. - The report identifies key stocks in the media sector, including Ji Shi Media, Youzu Network, and Daily Interaction, which saw significant weekly gains [12]. Sub-sector Insights - **Gaming**: Key companies to watch include ST Huatuo, Jibite, and Kaixin Network, with additional attention on Perfect World and Ice River Network [2][18]. - **AI**: Companies such as Dou Shen Education and Sheng Tian Network are highlighted for their potential in AI applications [2][18]. - **Resource Integration**: Companies like Zhongshi Media and Guangxi Broadcasting are noted for their expected resource integration [2][18]. - **Education**: Focus on companies like Xueda Education and Fenbi for potential growth [2][18]. - **Hong Kong Stocks**: Attention is drawn to Alibaba, Tencent Holdings, and Pop Mart, with an emphasis on the imminent industry explosion for Fubo Group [2][18]. Key Events Review - Tencent launched the Hunyuan-GameCraft, a new AI-driven game video generation framework, allowing users to create high-quality dynamic game videos easily [20]. - Kunlun Wanwei introduced the Matrix-3D model, setting a new benchmark in 3D generation with its ability to create high-quality panoramic videos from single images [20]. - Google released the Gemma 3 270M model, which outperforms similar models in efficiency and performance, suitable for various professional tasks [20]. Sub-sector Data Tracking - **Gaming**: Recent popular games include "Destiny: Stars" and "Dungeon Castle 4," with notable rankings in the App Store [21]. - **Box Office**: The domestic film market grossed approximately 1.295 billion yuan from August 9-15, with "Nanjing Photo Studio" leading the box office [24][25]. - **TV Ratings**: The series "Mortal Cultivation" topped the viewership ratings with a score of 84.4, indicating strong audience engagement [26].

Core Viewpoint - The next wave of technology is Physical AI, which is being rapidly deployed by NVIDIA, leveraging neural graphics, synthetic data generation, physical models, reinforcement learning, and AI inference technologies [2] Group 1: Physical AI Development - NVIDIA's CEO Jensen Huang has emphasized the importance of Physical AI multiple times this year, indicating it as a significant future trend [2] - At the 2025 World Robot Conference, NVIDIA's Omniverse and simulation technology VP highlighted that Physical AI could unlock a trillion-dollar market [2] - NVIDIA presented 16 papers on Physical AI at the SIGGRAPH 2025 conference, marking it as the central theme of their participation [2] Group 2: Relationship Between Graphics Research and Physical AI - There is a close relationship between graphics research and Physical AI, with advancements in rendering leading to the creation of realistic virtual worlds for training advanced Physical AI systems [3] - NVIDIA has significantly improved real-time path tracing performance by 10,000 times over the past nine years, enhancing the training of AI systems [3] - Simulations play a crucial role in robot research, allowing for safe and efficient training in virtual environments, which can be several orders of magnitude more efficient than real-world training [3] Group 3: Expectations and Applications of Robotics - Different types of robots have varying expectations, from simple tasks for industrial arms to complex navigation for autonomous vehicles and versatile skills for humanoid robots [4] - The key to transforming generative AI into Physical AI lies in training data, with synthetic data being crucial to overcoming data challenges [4] - NVIDIA is actively seeking more applications for GPUs in industrial and robotics sectors, which are closely related to Physical AI [4] Group 4: Product Launches and Innovations - NVIDIA has accelerated the release of products related to Physical AI, including the Cosmos world model for generating synthetic driving scenarios and the open-source 70 billion parameter visual language model, Cosmos Reason [6] - New hardware solutions are being introduced, such as servers equipped with RTX PRO 6000 Blackwell GPUs for enterprise workloads related to AI and Physical AI [6] - Upcoming products include the RTX PRO 4000 Blackwell SFF and RTX PRO 2000 Blackwell GPUs, aimed at engineering, AI, and 3D visualization applications [6]

Group 1: AI Investment Opportunities - Tianfeng Securities highlights that certain AI sectors have a favorable probability of success in the current market environment, focusing on major AI companies leading industry trends and categorizing investments from hardware infrastructure to AI applications [1] - The report emphasizes the importance of companies with expected revenue growth in the AI investment landscape [1] Group 2: Physical AI Development - CITIC Securities reports that Physical AI will become the next wave of artificial intelligence, integrating AI with physical laws for real-world applications [2] - Physical AI is capable of understanding real-world physics and utilizes digital twin technology for training and inference, offering dynamic feedback based on sensor data [2] - The report notes that while overseas companies like NVIDIA have established comprehensive Physical AI frameworks, domestic development is still in its early stages, with local CAE vendors exploring applications in defense and embodied intelligence [2] Group 3: US Inflation Trends - CICC identifies that tariffs have caused a localized rebound in US inflation, with seasonal adjustment methods underestimating the true inflation situation over the past two months [3] - The prediction indicates that the Consumer Price Index (CPI) may confirm an upward turning point in the next 1-2 months, potentially affecting the Federal Reserve's interest rate decisions [3] - The report suggests that the CPI's upward cycle could last for about a year, introducing new variables for global assets [3]