西风 发自 凹非寺 量子位 | 公众号 QbitAI Figure人形机器人家族添新，第三代 F igure 03 来了。 官方明确，这款机器人专为 适配Helix AI系统、贴合家庭场景以及满足全球规模化应 用 需求 量身打造。 从家务表现来看，整理杂物时逻辑清晰，知道把玩具收进筐里，把电脑合上后摆到桌面： 收拾餐具时，还会顺手清理旁边残留的食物残渣： 紧接着拿去清洗，知道把食物残渣先在水龙头下冲洗掉，再把盘子放进洗碗机： 杯子收纳也遵循生活常识，会倒扣过来放好： 洗衣全程无需协助： 自主添加洗衣凝珠、设置洗衣机程序并启动： 洗完衣服后，还能再叠好放好： 网友直呼鹅妹子嘤，就是不知道哪些任务是遥控完成的，哪些是机器人自主完成的。 如果视频中展示的所有内容均为真正的自主运行 （无远程操控，无预设脚本演示） ，那将是一个重大里程碑。 在我看来，把枕头放好后还特意拍一下这个动作，暴露了就是远程操控。 而Figure CEO Brett Adcock直接回应" 遥 控含量为 0 "： 作为一家在创立初期就被OpenAI、微软、英伟达等纷纷看好押注的机器人公司，Figure成立短短三年发展势头迅猛。 前不久还刚宣布 ...

Core Viewpoint - The article discusses the potential appointment of Hao Su, a prominent figure in embodied intelligence and computer vision, to Fudan University, highlighting his significant contributions to the field and his entrepreneurial ventures in robotics and simulation [1][49][51]. Group 1: Hao Su's Academic and Research Background - Hao Su is an associate professor at the University of California, San Diego (UCSD), specializing in computer vision, graphics, embodied intelligence, and robotics [14][49]. - He was involved in the creation of ImageNet and has led foundational projects such as ShapeNet, PointNet, and SAPIEN, which have significantly advanced the fields of 2D and 3D vision [4][30][34]. - Su's research has evolved from natural language processing to computer vision and then to 3D vision, culminating in the development of large-scale datasets and models that have transformed the landscape of artificial intelligence [22][30][34]. Group 2: Contributions to Robotics and Simulation - In 2020, Su launched SAPIEN, the first simulator focused on generalizable robotic operations, and later developed the ManiSkill platform for training robotic skills [35][41]. - His company, Hillbot, co-founded in 2024, aims to leverage high-fidelity simulation for robotics, with products like Hillbot Alpha designed for complex environments [43][45]. - Hillbot has partnered with Nvidia to generate high-quality training data, indicating a strong focus on enhancing robotic capabilities through advanced simulation techniques [47]. Group 3: Potential Move to Fudan University - There are rumors that Su will join Fudan University, which may invest in his company Hillbot and potentially appoint him to dual roles at various research institutes [51][52]. - Fudan University has established a credible embodied intelligence research institute, offering competitive salaries and performance-based incentives, which could attract top talent like Su [55][57].

CoreCognition团队 投稿 量子位 | 公众号 QbitAI 一篇被Yann LeCun转发的ICML 2025研究给了 多模态大模型 当头一棒—— 大部分AI在复杂任务上表现很好，但在人类从小就会的 基础认知能力 上却很拉垮。 研究者建了测评题库 CoreCognition ，覆盖在人类婴幼儿阶段即出现的12种核心认知能力（如客体永恒、视角采择、直觉物理、知觉恒常 等），用来对模型进行系统性测试。 在CoreCognition基准的1503道"经典发展心理学测验"上，230个主流模型系统暴露出对世界常识的"核心知识盲区"。 在归一化准确率对比中，多模态大模型在基础核心认知能力上普遍落后，差距往往达到两位数，即便规模更大也难以弥补。 这是否意味着MLLM（多模态大模型）的先天认知结构中，缺少那些支撑早期人类学习的基础知识机制？ 也就是说，它们是否缺乏"core knowledge"（核心认知能力）？ 构建CoreCognition Benchmark 来自加州大学圣地亚哥分校、约翰霍普金斯大学、埃默里大学、北卡罗来纳大学教堂山分校、斯坦福大学、卡内基梅隆大学等机构的研究人 员，花费一年时间构造并 开 ...

Core Insights - Intel's Panther Lake processors have officially entered mass production, showcasing the new 18A process technology and significant performance improvements across CPU, graphics, and AI capabilities [1][29][25] Product Development - The previous generation's design, which integrated memory into the processor, has been abandoned to streamline the product line, creating a versatile platform that spans from ultrabooks to high-performance gaming laptops [2][5] - Panther Lake features a multi-tile architecture that optimizes performance and efficiency, integrating various functional modules into a single package [9][12] Performance Metrics - Compared to the previous generation, Panther Lake boasts over a 50% increase in multi-core and graphics performance, while overall power consumption has decreased by 30% [3] - The new architecture includes advanced CPU cores, with the "Cougar Cove" performance core showing a 10% improvement in single-threaded performance over the previous generation [15] Memory and Cache Enhancements - Panther Lake supports LPDDR5x memory up to 9600 MT/s (96GB) and DDR5 memory up to 7200 MT/s (128GB), exceeding many desktop platform specifications [12][14] - An 8MB memory-side cache has been added, reducing DRAM access latency by 30% and achieving a 95% data hit rate, which is crucial for AI applications [19] Graphics and AI Capabilities - The new Xe3 "Celestial" graphics architecture offers over a 50% performance increase compared to the previous generation [20] - Panther Lake includes a fifth-generation NPU providing 50 TOPS of dedicated AI performance, with the total platform AI capability reaching 180 TOPS, significantly surpassing Microsoft Copilot+ PC requirements [25] Manufacturing Innovations - Panther Lake is the first product to utilize Intel's 18A process technology, which is critical for Intel's return to semiconductor manufacturing leadership, offering a 15% performance per watt improvement and a 30% increase in chip density [29][30] - Key innovations in the 18A process include the RibbonFET transistor architecture and PowerVia back-side power delivery technology, enhancing efficiency and performance [32][34] Future Outlook - Panther Lake is expected to be officially launched at CES in January 2026, with the first laptops featuring the new processors to follow shortly after [28] - Concurrently, Intel has previewed the next-generation server processor, Clearwater Forest, also based on the 18A process, anticipated for release in the first half of 2026 [39]

鹭羽 发自 凹非寺 量子位 | 公众号 QbitAI 今年诺贝尔化学奖花落 MOF （金属有机框架） ！ 获奖科学家分别是 北川进 、 理查德·罗布森 和 奥马尔·M·亚吉 ，以表彰他们在MOF上的杰出贡献： 这类材料就像哈利波特中赫敏的手提包——可以在小体积中储存大量气体。 其中得奖者之一的 北川进 ，也被誉为PCP （多孔配位聚合物） 之父，证明了气体可以在MOF结构中流入流出，并预测其可以被制成柔韧性 材料。 不过当谈及他之所以选择化学作为其一生的工作时，答案却相当有趣： 因为化学家能分清真酒假酒。 喜欢葡萄酒、阅读侦探小说、看歌舞伎表演……相比古板的科学家形象，北川进则显得与众不同。 MOF得奖：众望所归 "MOF终于得奖了" ……化学奖名单一出，社媒上这句话就刷了屏，每年必提名的大热门之一必有MOF，那为啥众望所归是它呢？ 另外他还发现，框架形状也会随着是否填充以及周围环境的变化 （如温度变化、光照情况） 而发生改变。 根据组委会主席海纳·林克所说，因为MOF潜力巨大，可以为一些新功能的定制材料提供前所未有的机会。 这种新形式的分子结构中，金属离子由长链有机 （碳基） 分子连接，二者共同组成包含大空 ...

Jay 发自 凹非寺 量子位 | 公众号 QbitAI 什么情况，库克前脚还在国庆节缅怀乔布斯，如今就 被曝要让位CEO 。 而且， 曝光的接任者不 是之前的大热门COO杰夫·威廉姆斯 （Jeff Williams） ，而是苹果现任硬件工程高级副总裁—— 约翰·特努斯 （John Ternus） 。 随着新CEO的上位，库克最终可能会转任董事长一职，走类似于贝佐斯和比尔盖茨的路线。 库克被曝让位 据最新爆料，苹果正筹划 十多年来 最大规 模的领导层换届 。 2011年，乔布斯在病重之际，将苹果的接力棒交到时任COO的库克手中。 然而，外界对此褒贬不一，不少人质疑这位以供应链见长的「运营高手」无法撑起苹果的创新旗帜。 库克也许的确不是一名冒险者，但他把苹果的商业杠杆加到了最大。 2011至2016年间，iPhone 4S、iPhone 5、iPad等产品持续热销，规模效应爆发，苹果的这台赚钱机器开始全速运转。 短短五年，iPhone销量增长约 200% ，营收与净利润几乎翻倍，苹果一跃成为全球现金流最充沛的科技公司。 负责人工智能战略的约翰·贾南德里亚 （John Giannandrea） 因Siri项目失败仕 ...

衡宇 发自 凹非寺 量子位 | 公众号 QbitAI 具身智能小分队 隶属于阿里巴巴旗下的Qwen （通义千问） 。 这是负责阿里旗舰基础模型研发的核心部门。一直以来，该团队负责Qwen系列大模型的研发、开源和商业化应用。 林俊旸在公开具身智能小分队的帖子中写道： Qwen团队内部组建了一个全新的具身智能小分队！ 这一消息由通义千问技术负责人 林俊旸 （Justin Lin） 在上对外公开。 外媒评价称，这一举动标志着阿里巴巴迄今为止最明确的物理AI系统探索。 而阿里，也成为了继OpenAI、Google等之后，又一家宣布入局具身智能赛道的大模型大厂。 黄仁勋曾则表示，英伟达在AI与机器人领域拥有一个"数万亿美元级"的长期增长机遇。 显然，阿里没有想放过这个长期竞争与机遇。 "走向现实世界"，Qwen组建具身智能团队 多模态基础模型现在正在转变为能够利用工具和记忆，并通过强化学习执行长期推理的基础智能体。 它们理应从虚拟世界走向现实世界！ 如果说以往的大模型是在"理解"世界，那具身智能的目标，就是让模型能够"参与"世界——从林俊旸的推文里不难看出，Qwen 已经开始着手 把多模态模型推向具身智能的新阶段。 此 ...

Core Insights - OpenAI is pursuing three main goals: to become a personal AI subscription service, to build large-scale infrastructure, and to achieve a truly useful AGI (Artificial General Intelligence) [2][4][29] - The recent launch of Sora 2 and various investment collaborations, including partnerships with AMD and Nvidia, indicate a strategic shift towards aggressive infrastructure investment [1][29] Group 1: OpenAI's Strategic Goals - OpenAI aims to become a personal AI subscription service, necessitating the construction of vast infrastructure to support this vision [4][29] - The ultimate mission is to create AGI that is genuinely beneficial to humanity, which requires a multifaceted approach beyond traditional business models [4][8] - OpenAI's infrastructure is currently intended for internal use, with future possibilities for external applications remaining uncertain [5][29] Group 2: Sora's Role in AGI Development - Despite skepticism about Sora's relevance to AGI, OpenAI's CEO believes that developing a "truly outstanding world model" through Sora will be crucial for AGI [10][11] - The resources allocated to Sora are relatively small compared to OpenAI's overall computational capacity, emphasizing a balanced approach to innovation and research [13][29] - Sora is seen as a way to engage society with upcoming technological advancements, particularly in video models, which resonate more emotionally than text [16][29] Group 3: Future Interactions and AI Capabilities - OpenAI envisions future interaction interfaces that go beyond basic chat, incorporating real-time video rendering and context-aware hardware [19][21] - The concept of the Turing Test is evolving, with the new benchmark being AI's ability to conduct scientific research, which OpenAI anticipates will happen within two years [21][22] - OpenAI's confidence in its research roadmap and the economic value it can generate has led to a commitment to aggressive infrastructure investments [29][31] Group 4: Leadership and Management Philosophy - OpenAI's CEO acknowledges a preference for an investor role over management, citing challenges in handling organizational dynamics and operational details [41][42] - The transition from an investor to a CEO role has been described as both challenging and rewarding, providing insights into groundbreaking work in AI [41][43] - The future of AI development is closely tied to energy availability, with a call for more efficient energy solutions to support AI advancements [44]

Core Insights - Huang Renxun expressed surprise at AMD's strategy of exchanging 10% of its shares for OpenAI orders, calling it clever [1][3] - He emphasized that NVIDIA's relationship with OpenAI is fundamentally different, as NVIDIA sells products directly to OpenAI rather than through equity exchange [4] - OpenAI currently lacks the funds to pay for its large orders, needing to raise capital through future revenue growth, equity, or debt financing [5][7] NVIDIA and OpenAI Transactions - NVIDIA has the opportunity to co-invest in OpenAI's future financing rounds, with Huang expressing regret for not investing more when OpenAI was founded [8] - NVIDIA announced plans to invest up to $100 billion in OpenAI, which will build systems requiring 10 gigawatts of power, equivalent to 4 to 5 million GPUs [12][13] - OpenAI has also agreed to purchase AMD chips, committing to a significant procurement of AMD's upcoming MI450 series [14] Circular Trading Dynamics - The transactions create a closed-loop funding mechanism where NVIDIA's investment flows to Oracle through OpenAI, which then purchases NVIDIA hardware [16] - The total value of AI computing transactions between OpenAI, NVIDIA, AMD, and Oracle has surpassed $1 trillion, while OpenAI is projected to struggle with positive cash flow until 2029 [16] Expansion of NVIDIA's AI Investments - NVIDIA confirmed its participation in a $20 billion funding round for Musk's xAI, with plans to invest $2 billion [17] - The investment will utilize a special purpose vehicle (SPV) structure, with funds allocated for purchasing NVIDIA processors [18] - NVIDIA has also invested in CoreWeave, holding a 7% stake, and is actively involved in numerous AI venture capital transactions [19][20] Market Concerns - The intricate web of transactions has raised concerns about a potential AI bubble, with analysts warning that these deals could signal early warning signs if a bubble were to burst [20] - NVIDIA representatives clarified that the company does not require its invested companies to use NVIDIA technology [21][22]

组委会 发自 凹非寺 量子位｜公众号 QbitAI 为了让更多从业者感受智能浪潮的跃迁，也为了给予更多同行同路人掌声与鼓舞，我们将正式启动 「2025人工智能年度榜单」评选报名 。 这是量子位人工智能年度榜单的 第8年 。八年来，我们见证了技术的突破与落地，产业的融合与重塑，也见证了一批又一批推动时代前行的 企业、人物与产品。 在人工智能重新定义一切的时代里，智能技术已不再是单一工具，而是产业与社会协同进化的驱动力。我们期待通过这场年度评选，去发现并 致敬那些真正引领变革、开拓边界的探索者与实践者。 本次评选将从 企业 、 产品 、 人物 三大维度，设立五类奖项。欢迎企业踊跃报名！ 让我们共同见证年度之星，点亮未来的方向。 企业榜 产品榜 人物榜 2025 人工智能年度 焦点人物 详细评选标准及报名方式如下。 2025 人工智能年度领航企业 2025 人工智能年度 领航企业 2025 人工智能年度 潜力创业公司 2025 人工智能年度 杰出产品 2025 人工智能年度 杰出解决方案 评选标准 ： 1、注册地在中国，或主营业务主要面向中国市场； 2、主营业务属于人工智能及相关产业，或已将人工智能广泛应用于主营业 ...