就从目前的情况来分析，开源模型确实有着闭源模型缺少的优势。比如黄仁勋提到的DeepSeek R1这类开 源模型，其关键就是开源给全球开发者参与，迭代周期迅速，技术突破快，简单就是可以理解为人多力量 大，十分容易形成 "全民共建" 的创新生态。此外，开源模型的场景适配灵活性，企业可基于开源模型进 行二次开发，比如一个医疗类型的大模型开源后，基层机构能针对地方多发病定制解决方案，实现技术普 惠。最后就是成本和效率也有较大优势，开源模型及工具库降低研发门槛，叠加模块化改造能力，比如一 种分层模型可以让营销物料复用成本趋近于零，大幅提升产业效率。 详细来看，今天主题演讲的内容主要揭示了人工智能产业的根本性变革，首先是代理式系统崛起，其次是 开放模型生态爆发，最后是物理AI落地突破和产业赋能与生态协同。AI从原来的单一应用，在开源模型等 前沿科技的加持下升级为了基础结构，有着驱动计算模式、产业形态与技术生态的全方位重构能力。 1月6日消息，今日CES 2026正式开幕，英伟达CEO黄仁勋在展会上发布了很多前沿新产品，并且展开了一 段长时间的演讲。甚至在演讲中途直言不讳的称，来自中国的开源模型Deepseek-R1足够让 ...

Core Insights - NVIDIA's CEO Jensen Huang announced the new Rubin platform at CES 2026, emphasizing a shift towards "physical AI" [2][3] - The Rubin platform is set to outperform the previous Blackwell generation, with inference performance five times and training performance 3.5 times better, while reducing inference token generation costs by up to ten times [4][10] - The platform is expected to be delivered to initial customers in the second half of 2026 [5] Group 1: Rubin Platform Details - The Rubin platform is the next generation of AI computing architecture, following Hopper and Blackwell, named after astronomer Vera Rubin [8] - It consists of six independent chips, including the core Rubin GPU, designed to significantly lower inference costs [9] - Innovations in the Rubin platform include the latest NVIDIA NVLink interconnect technology, a Transformer engine, confidential computing, and RAS engine [9] Group 2: AI Development and Open Source Models - Huang introduced four open-source models targeting different verticals: Nemotron for agent AI, Cosmos for physical AI, Alpamayo for autonomous driving, and Clara for healthcare [14] - The automotive sector is identified as the first large-scale application for physical AI [15] - Huang highlighted the rise of open-source models as a catalyst for global innovation, noting that their performance is increasingly approaching that of leading proprietary models [17]

Core Insights - NVIDIA's CEO Jensen Huang announced the new Rubin platform at CES 2026, which is set to revolutionize AI computing with significant performance improvements over the previous Blackwell platform [3][6][9]. Group 1: Rubin Platform Overview - The Rubin platform will feature six independent chips, including the core Rubin GPU, and is designed to drastically reduce inference costs by up to 10 times compared to the Blackwell platform [6][7]. - The training of mixed expert models (MoE) will require four times fewer GPUs than the previous generation, enhancing efficiency in AI model training [8][10]. - The platform is named after astronomer Vera Rubin and is expected to be delivered to initial customers in the second half of 2026 through partnerships with companies like Dell, HPE, and Lenovo [6][11]. Group 2: Open Source Models - Huang introduced four open-source models targeting different verticals: Nemotron for logical reasoning, Cosmos for understanding physical laws, Alpamayo for autonomous driving, and Clara for healthcare applications [12][13][14][16]. - The rise of open-source models is seen as a catalyst for global innovation, with several emerging models from China, such as Kimi K2 and Deepseek R1, showing competitive performance [19][20][22]. - Huang emphasized that open-source models are narrowing the performance gap with leading AI models, transforming the AI landscape and encouraging widespread participation [22].

炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！ （来源：每日经济新闻） 每经记者：杨卉 每经编辑：陈柯名,文多 黄仁勋认为，相比最前沿的AI模型，开源模型落后约6个月，但这个距离正逐步缩短，开源模型彻底改 变了人工智能，吸引所有人参与其中。"我们现在知道，当开源、开放创新、全球每家公司每个行业的 创新被激活时，AI将无处不在。与此同时，开放模型去年真的起飞了。AI模型现在能推理的能力强大 得不可思议。"黄仁勋表示。 黄仁勋还提到了AI搜索引擎工具Perplexity："当我第一次意识到它同时使用多个模型时，我觉得这完全 是天才之举。" 随后黄仁勋提及了AI Agent（人工智能体），他认为未来人们会拥有个人的定制AI，"你能教它为你的 公司实现独有的技能"。 图片来源：每经记者 杨卉 摄 美国当地时间1月5日11点，英伟达创始人、首席执行官黄仁勋的"CES2026"（2026年国际消费电子展） 主题演讲开始前两小时，现场已排起了长队，每日经济新闻记者在现场注意到，场内约有3000人。 黄仁勋演 讲海报 图片来源：每经记者 杨卉 摄 黄仁勋依旧穿着皮衣亮相，登场后向大家问候了"新年好" ...

黄仁勋认为，相比最前沿的AI模型，开源模型落后约6个月，但这个距离正逐步缩短，开源模型彻底改变了人工智能，吸引所有人参与其中。"我们现在知 道，当开源、开放创新、全球每家公司每个行业的创新被激活时，AI将无处不在。与此同时，开放模型去年真的起飞了。AI模型现在能推理的能力强大 得不可思议。"黄仁勋表示。 美国当地时间1月5日11点，英伟达创始人、首席执行官黄仁勋的"CES2026"（2026年国际消费电子展）主题演讲开始前两小时，现场已排起了长队，每日 经济新闻记者在现场注意到，场内约有3000人。 黄仁勋演讲海报 图片来源：每经记者 杨卉 摄 黄仁勋依旧穿着皮衣亮相，登场后向大家问候了"新年好"，随后的话题全部围绕AI（人工智能）展开。他表示："人工智能正在改变世界，并且正以惊人 的速度普及。我们很自豪能够继续推动这一变革。" 黄仁勋谈及，2025年最重要的事情之一就是开放模型取得进步。在演讲资料中，黄仁勋展示了包含Kimi K2、DeepSeek V3.2、Qwen在内的开源大模型， 还在演讲中提及了DeepSeek。 黄仁勋介绍，英伟达于8年前开始研究自动驾驶汽车。他透露：'我们的愿景是有朝一日，每辆车 ...

Core Insights - NVIDIA's CEO Jensen Huang announced multiple open-source models related to physical AI and detailed the performance data of the new chip platform Rubin during a keynote speech at CES [1] - The event attracted significant attention, with a full audience of 3,000 people, indicating strong interest in NVIDIA's advancements in AI technology [1] Group 1: Product Announcements - NVIDIA introduced several open-source models focused on physical AI, marking a shift from solely relying on transistor density improvements to enhancing network processing and low-precision floating-point operations [1] - The Rubin chip platform includes six new chips, such as Vera CPU and Rubin GPU, with Rubin GPU achieving a 50 PFLOPS inference performance, five times that of the previous Blackwell platform [18][20] - The new platform's design allows for a 10-fold reduction in inference token costs and a fourfold decrease in the number of GPUs required for training MoE models compared to Blackwell [20] Group 2: AI Development and Trends - Huang emphasized that AI and computing architecture are undergoing simultaneous transformations, with AI serving as both an application and a new platform [6] - The shift in software development paradigms from coding to model training signifies a complete restructuring of the computing technology stack [6] - The global industry is reallocating R&D budgets towards AI, driven by the modernization of computing infrastructure valued at approximately $10 trillion over the past decade [7] Group 3: Future of AI and Autonomous Vehicles - Huang highlighted that the next phase of AI development involves integrating AI into the physical world, with a focus on teaching AI common sense about physical properties [9] - The transition from non-autonomous to autonomous vehicles is anticipated to occur within the next decade, with a significant portion of cars expected to be fully or highly autonomous [12] - NVIDIA's DRIVE AV software will be implemented in Mercedes-Benz vehicles, with the first autonomous vehicle expected to hit the roads in the U.S. in Q1 2024 [16] Group 4: Collaborations and Industrial Applications - NVIDIA announced a deepened collaboration with Siemens to integrate its physical AI models and Omniverse simulation platform into Siemens' industrial software, covering the entire lifecycle from chip design to production operations [16] - The company is positioned at the forefront of a new industrial revolution, leveraging physical AI to enhance chip design and automation in manufacturing [16] Group 5: Open-Source Models and Global Impact - Huang noted the significant rise of open-source models in the industry, specifically mentioning China's DeepSeek R1 as a model that has surprised the world and activated a global open-source movement [7][8] - The presentation included several open-source models from China, such as Kimi K2 and Qwen, showcasing the competitive advancements in AI technology [8]

Core Insights - The keynote by NVIDIA CEO Jensen Huang at CES 2026 highlighted a significant shift in AI development from "digital intelligence" to "physical AI," emphasizing the company's ambition to build foundational elements for this new era [1][14] - NVIDIA is responding to the surging demand for AI computing power by upgrading its computing platforms, aiming to capture a substantial share of the digital world's computational base [1] Group 1: AI Evolution and Open Source - Huang emphasized that the computing industry undergoes a platform shift every 10 to 15 years, with current transitions focusing on AI-centric applications and a redefined software development paradigm [2] - The transformation of the computing industry, valued at approximately $10 trillion over the past decade, is driven by a shift in global R&D budgets towards AI and significant venture capital investments [4] - Open-source models are revolutionizing AI, with NVIDIA investing billions in supercomputing clusters to advance open-source model development, achieving breakthroughs in various scientific fields [4] Group 2: Intelligent Agents and Physical AI - The next stage in AI capability evolution involves moving from large language models to intelligent agents that can reason and act, addressing previously untrained problems [5][7] - Huang highlighted the challenge of enabling AI to understand the physical world, necessitating a complete system comprising training, real-time inference, and high-precision physical simulation [7] Group 3: Innovations in AI Models - NVIDIA introduced Cosmos, an open-source world model that learns from vast amounts of video and real-world driving data, enabling realistic video generation and causal reasoning [8] - The first end-to-end autonomous driving system, NVIDIA AlphaMio, was developed using data generated by Cosmos, featuring reasoning capabilities to explain actions to passengers [8] Group 4: Vera Rubin Chip Architecture - The new NVIDIA Vera Rubin chip architecture addresses the explosive growth in AI model size and computing demands, with a redesign of all chips to work as a cohesive system [9][12] - The Vera CPU and Rubin GPU demonstrate significant performance improvements, with the GPU's AI floating-point performance reaching five times that of the previous Blackwell architecture [11] - The architecture's design allows for a reduction in the number of systems required to train a 100 trillion parameter model to one-fourth of that needed with Blackwell, while also significantly lowering inference costs [13] Group 5: Industry Collaboration and Future Vision - NVIDIA announced a partnership with Siemens to integrate its physical AI models with Siemens' digital twin platform, aiming for a comprehensive digital transformation across various industrial processes [14] - Huang concluded that autonomous vehicles represent just the beginning of the physical AI market, with similar technologies poised to drive a robotics revolution [14]

Group 1 - The long-term assessment mechanism for pension funds exceeding 7 trillion yuan has been introduced, aiming to promote long-term investments and enhance the capital market [1] - Over 40 A-share companies have forecasted a year-on-year increase in performance for 2025, particularly in the electronics, machinery, basic chemicals, and pharmaceutical sectors [1] - A-share listed companies are expected to distribute over 2.6 trillion yuan in dividends for 2025, marking a historical high, with significant contributions from both the Shanghai and Shenzhen stock exchanges [1] Group 2 - Approximately 50 trillion yuan in medium to long-term deposits are set to mature in 2026, drawing market attention amid declining interest rates [2] - The insurance industry has seen bond issuance exceed 100 billion yuan annually for the past three years, reflecting challenges in capital management and regulatory requirements [2] - The "cold resources" sector is experiencing growth, with new consumer dynamics emerging from events like the Changchun Snow Festival [2] Group 3 - Changyuan Tungsten has raised its procurement prices for tungsten concentrates for the first half of January 2026 [3] - Bridgewater's founder, Ray Dalio, has warned that the current AI hype is in the early stages of a bubble, with U.S. stock performance lagging behind non-U.S. equities and gold [4][5] - Nvidia's CEO highlighted the rise of open-source models as a catalyst for innovation in the AI industry during a recent conference [6] Group 4 - Airbus is expected to deliver 793 aircraft in 2025, achieving a key production target despite previous adjustments due to supply chain issues [6] - Nord Fund's actual controller has changed to Sichuan Energy Investment Group, with no impact on the fund's capital structure [6] - The control of Aerospace Science and Industry Corporation's rocket company is being transferred, with an estimated overall valuation of 11.2 billion yuan [7] Group 5 - Grandpa's Farm International Holdings has submitted a listing application to the Hong Kong Stock Exchange, focusing on baby food and household products [7] - The Shanghai Stock Exchange has issued a regulatory warning to Tianpu Co. for inadequate risk disclosures related to its AI business [8][9] - Dengyun Co.'s actual controller has been arrested for illegal public deposit collection, but the company's operations remain unaffected [10]

Core Insights - The article highlights a significant shift in AI technology, moving from understanding language to transforming the physical world, as announced by NVIDIA CEO Jensen Huang at CES 2026 [2] - NVIDIA has unveiled its latest technology roadmap for "Physical AI," aiming to create a comprehensive stack of computing and software systems to enable AI to understand, reason, and act in the real world [2] Group 1: AI Development and Breakthroughs - Huang emphasized the "dual platform migration," where computing shifts from traditional CPUs to GPU-centric accelerated computing, and application development transitions from predefined code to AI-based training [4] - In 2025, open-source models achieved key breakthroughs but still lagged behind advanced models by about six months, with explosive growth in model downloads as various sectors engage in the AI revolution [3][9] - The emergence of autonomous thinking agent systems in 2024 marks a pivotal development, with models capable of reasoning, information retrieval, and future planning [8] Group 2: Physical AI and New Models - NVIDIA's Physical AI models are categorized into three series: Cosmos World models for world generation and understanding, GROOT for general robotics, and the newly released AlphaMayo for autonomous driving [12] - AlphaMayo, an open-source AI model, enables autonomous vehicles to think like humans, addressing complex driving scenarios by breaking down problems and reasoning through possibilities [16][18] - GROOT 1.6, the latest open-source reasoning model for humanoid robots, enhances reasoning capabilities and coordination for executing complex tasks [22][24] Group 3: AI Supercomputing and Vera Rubin - NVIDIA introduced the Vera Rubin supercomputer, designed to meet the escalating computational demands of AI, with the first products expected to launch in late 2026 [32] - The Vera Rubin architecture features a collaborative design of six chips, providing 100 Petaflops of AI computing power, significantly enhancing performance and efficiency [40][42] - The system incorporates advanced cooling and security features, ensuring data protection and energy efficiency, which is crucial for modern AI workloads [47][49] Group 4: Ecosystem and Collaboration - NVIDIA's collaboration with Hugging Face connects a vast community of AI developers, facilitating the integration of NVIDIA's tools into existing workflows [30] - The launch of the Isaac Lab Arena provides a framework for safely testing robot skills in simulation, addressing the challenges of verifying robotic capabilities in real-world scenarios [27] - The open-source approach to AI and robotics is driving rapid advancements across various industries, with numerous companies leveraging NVIDIA's platforms for their next-generation AI systems [29]

Core Insights - The rise of open-source models has become a catalyst for global innovation in the AI industry, as highlighted by NVIDIA CEO Jensen Huang during a presentation in Las Vegas [1][1] - The introduction of Deepseek R1 has unexpectedly driven transformation across the industry, showcasing the rapid advancements in open-source model performance [1][1] - Several open-source models are emerging globally, with their capabilities increasingly approaching those of leading frontier models [1][1] - The presentation featured images of multiple open-source models, including three from China: Kimi K2, Qwen, and Deepseek V3.2 [1][1]