Linus访谈Linus！ 没错，Linux之父 Linus Torvalds 上了加拿大白嫖王Linus Sebastian的节目——聊AI。 闻乐 发自 凹非寺 量子位 | 公众号 QbitAI 对于当下热议的AI Vibe编程 ，"真·Linus"明确表示： AI辅助的Vibe编程是 入门编程的绝佳方式 。 But祖师爷随即泼了盆冷水，说AI生成代码对入门者来说虽然是好事，但如果将这些代码投入实际使用，那长期管理和修复这些代码也是非常 困难的。 话锋再一转， 程序员并不会被取代 ，因为我们需要那些懂代码维护的人。 两位Linus一边装机一边唠嗑，选择显卡的时候直接pass掉了英伟达 （表情包懂得都懂） ，不过Linus Torvalds坦言近几年随着AI时代的到 来，自己的看法也有所改变。 面对自己最有名的两个"孩子"Linux和Git，他更是直言Linux是亲儿子，Git只有6个月的感情，直接扔给别人"带"（doge）。 除了聊AI，Linus随后谈到的内存可靠性、内涵 马斯克 某人的言论，也只能说有趣又有料～ "不碰"没有ECC内存的机器 熟悉Linus的人可能知道，这位年轻时候的脾气可谈不上有多好 ...

UNeMo团队 投稿 量子位 | 公众号 QbitAI 让机器人听懂指令，精准导航再升级！ 深圳大学李坚强教授团队最近联合北京理工莫斯科大学等机构，提出视觉-语言导航 （VLN） 新框架—— UNeMo 。 通过 多模态世界模型 与 分层预测反馈机制 ，能够让导航智能体不仅可以看到当前环境，还能预测接下来可能看到的内容，并据此做出更聪 明的决策。 相比主流方法，UNeMo可大幅度降低资源消耗，在未见过的环境中导航成功率可达72.5%，尤其是在 长轨迹导航 中表现突出。 目前，该论文已入选AAAI2026。 以下是更多详细内容。 语言推理与视觉导航的"脱节困境" 作为Embodied AI的核心任务之一，视觉-语言导航要求智能体仅凭 视觉图像 和 自然语言 指令，在未知环境中自主完成目标导航。 而随着大语言模型 （LLM） 的兴起，基于LLM的导航方法虽取得进展，但仍面临两大关键瓶颈： 优化目标冲突：推理模块与导航策略分开训练，导致两者适配性差，无法实现动态协同优化，存在性能瓶颈。 双模块协同打造"预判+决策"闭环 于是研究团队提出了UNeMo框架，其核心突破在于构建了 "多模态世界模型 （MWM） +分层预测 ...

组委会 发自 MEET2026大会现场 量子位 | 公众号 QbitAI 如果把2025年的AI故事看作一条时间长河，那么最惊雷的一声在年初就已炸响—— DeepSeek-R1于1月横空出世，震出全年主旋律；刚刚进入12月，DeepSeek又开源了V3.2系列，一头一尾，把这一整年的技术叙事包了起 来。 2025年关乎AI模型的主线故事，沿着开源与性能的双线竞速徐徐展开，开源模型和闭源旗舰你追我赶，在参数规模之外把边界一路推到推理 效率、训练范式和成本结构；另一边，世界模型从论文概念变成真实产品与公司战场，李飞飞与Yann LeCun分别押注各自路线，把"通向AGI 的路"指向世界模型之争。 具身智能机器人和搭载的模型爆发式迭代，其它AI终端设备——AI玩具、AI手机、AI PC、智能座舱等——全面铺开，成为AI能力落到现实世 界的最佳试验田。 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、2025人工 智能年度焦点人物等5大维度奖项悉数颁出。 本次评选于今年9月启动。在过去3个月里，共有数百家企业、机构和个人报名参与评选。 最 ...

Fairy2i团队 投稿 量子位 | 公众号 QbitAI 无需重新训练，模型压缩实现 2比特媲美FP16 。 近日，北京大学团队提出一个直接基于已有预训练模型进行极低比特量化的通用框架—— Fairy2i 。 该框架通过广泛线性表示将实数模型无损转换为复数形式，再结合相位感知量化与递归残差量化，实现了在仅2比特的情况下，性能接近全精 度模型的突破性进展。 下面是更多详细内容。 研究核心：复用真值权重与递归残差量化 众所周知，大模型在推理时，通常因其庞大的参数存储和计算需求，难以在手机、汽车等边缘设备上高效部署。 传统的量化方法在将模型压缩到极低比特 （如1-2比特） 时，常面临性能严重下降的问题，尤其是在直接复用预训练模型的情况下，难以在 压缩和精度之间找到平衡。 Fairy2i针对性地解决了这一痛点，具体表现在： 1、广义线性表示：低成本无损继承，打通实数与复数桥梁 在"架构"上，Fairy2i通过解决实数模型如何"变身"复数模型的问题，极大地降低了训练所需的成本。 不同于iFairy等需要花费高昂算力从头预训练 （Pre-training from scratch） 的方式， Fairy2i选择了一条更 ...

Core Viewpoint - The article highlights the recent advancements of 可灵AI in the generative AI field, showcasing multiple new features and models that enhance user experience and creativity in video and image generation [2][15][29]. Group 1: New Product Launches - 可灵AI has launched several new products within a short span, including the multi-modal video and image creation tool "可灵O1" and the "可灵2.6" model, which significantly elevate the competition in the generative AI sector [2][15]. - The "可灵O1" integrates various tasks such as video generation, editing, and modification into a single engine, allowing users to complete the entire creative process seamlessly [3][6]. Group 2: Technological Innovations - The "可灵2.6" model introduces a groundbreaking "audio-visual co-generation" capability, enabling the simultaneous generation of video with natural language, sound effects, and ambient sounds, thus transforming traditional workflows [10][11]. - The latest image generation model, "图像O1," allows users to create images from text or by uploading up to 10 reference images for enhanced creativity [7]. Group 3: User Engagement and Feedback - The rapid updates reflect 可灵AI's commitment to meeting user demands, as evidenced by the community's active participation in suggesting new features [8][15]. - The company has garnered a loyal user base, with over 20,000 enterprise users across various industries, including film production, advertising, and e-commerce [26][27]. Group 4: Market Position and Future Outlook - 可灵AI is positioned as a leading player in the domestic video generation model sector, consistently generating excitement with each iteration since its launch in June 2024 [20]. - The advancements in technology and user engagement suggest that 可灵AI is on a trajectory to further enhance its market presence and application in diverse creative fields [25][29].

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Core Viewpoint - Microsoft's AI products are facing significant challenges in the market, leading to a reduction in sales targets and a loss of user interest due to poor product performance [2][13][38]. Group 1: Sales Performance - Microsoft has lowered its sales KPIs for various AI product departments, particularly for Azure AI, indicating a serious decline in product demand [7][10]. - A specific Azure sales team aimed for a 50% growth in sales for the Foundry platform but only achieved less than 20%, prompting a revised target of 25% [9][10]. - Another Azure department also revised its sales target from doubling to a 50% increase, reflecting widespread sales struggles across Microsoft's AI offerings [11][13]. Group 2: Strategic Issues - Microsoft's AI products have failed to successfully meet user needs, leading to a lack of engagement with integrated AI features in Windows and other applications [15][22]. - The company's strategy has been criticized for prioritizing low-cost, low-performance products, which has resulted in a weak market response [25]. - Microsoft's reliance on OpenAI for technology and support has become a liability, especially as OpenAI faces its own challenges with the emergence of competitors like Gemini [26][27][31]. Group 3: Competitive Landscape - Google's AI products, particularly the Gemini model, are gaining traction and are expected to surpass Microsoft's Copilot in market position [34][35]. - Google has established a stronger product ecosystem, allowing for quicker adoption of its AI innovations compared to Microsoft's offerings [37]. - Despite the downturn in AI product sales, Microsoft's overall AI business remains on a growth trajectory, primarily driven by its partnership with OpenAI, which is projected to generate approximately $15 billion from cloud services [39][40].

12月10日9点 ，时间过得飞快， MEET2026智能未来大会 就在明天了！ MEET组委会 发自 凹非寺 量子位 | 公众号 QbitAI 一起来AI认知跨年吧，记下时间和地址前来赴约~ 大会时间 ：2025年12月10日（周三）9:00-18:00 大会地址 ：北京金茂万丽酒店 现在观众报名通道还可以报名！期待 明天 与你线下见面啦~ 如果来不及线下参与，也可以来线上围观直播 最新最全大会议程奉上！ 敬请期待。 会议能 - 上午议程 c 09:15-09:20 © 主办方致辞 置 鸿 量子位创始人兼 CEO 人工智能 + 趋势 09:20-09:35 张亚勤 清华大学智能产业研究院院长,中国工程院院士 Al 打造超级智能体, 09:35-09:50 成就超级个体、超级团队、超级组织 王颖 百度集团副总裁,文库事业部、网盘事业部负责人 Al 觉醒之年: 09:50-10:05 从数字世界迈向物理世界 王仲远 北京智源人工智能研究院院长 10:05-10:20 混合 AI: 从云端到边缘智能 万卫星 高通公司 AI 产品技术中国区负责人 10:20-10:35 Agentic Al 未来已来 大会上还将发布 ...

Core Insights - The article discusses the rapid success and technological foundation of the "Doubao Phone" and its assistant, which has gained significant attention in the market due to its advanced capabilities in automating tasks on mobile devices [1][50]. Group 1: Product Overview - The "Doubao Phone" sold out its initial stock of 30,000 units, with prices in the second-hand market doubling [1]. - The phone's assistant can automate complex tasks across applications, such as submitting leave requests and booking train tickets [4][5]. - The assistant is built on ByteDance's self-developed UI-TARS model, which has been optimized for mobile use [7][8]. Group 2: Technological Development - The UI-TARS model has undergone significant iterations, with the initial version released in January 2023, followed by UI-TARS-1.5 and the latest UI-TARS-2, which enhances the agent's capabilities [11][23][34]. - UI-TARS-2 addresses issues related to data scalability and multi-round reinforcement learning, allowing for more autonomous interactions with graphical user interfaces [34][35]. - The model has shown superior performance in various benchmarks compared to competitors like OpenAI's models [27][28]. Group 3: User Experience and Feedback - Users have reported high satisfaction with the assistant's ability to perform tasks efficiently, with one user describing it as the "world's first true AI smartphone" [69]. - The assistant's design includes a dual-mode system, allowing for both rapid responses and deeper reasoning capabilities [60][62]. - Concerns regarding privacy and security have been raised, but the company has emphasized that user consent is required for high-level permissions [50][51]. Group 4: Market Implications - The success of the "Doubao Phone" indicates a shift towards AI-driven mobile technology, where devices can autonomously understand and execute user intentions [85]. - The product's development reflects a broader trend in the industry towards integrating advanced AI capabilities into everyday technology, potentially redefining user interaction with mobile devices [86].

Core Insights - The company "Zhiyuan" has successfully mass-produced its 5000th general-purpose humanoid robot, showcasing rapid growth in the embodied intelligence sector [1][5][8] - The production scale achieved by Zhiyuan is ahead of industry predictions, with the potential for 2026 to be a landmark year for mass production in the sector [9][10] Production and Product Lines - Zhiyuan's 5000 robots include three main product lines: - The "Expedition" series with 1742 units, designed for industrial manufacturing and interactive services [13][14] - The "Lingxi" series with 1846 units, aimed at family companionship and entertainment, featuring advanced navigation and interaction capabilities [16][18] - The "Spirit" series with 1412 units, focusing on industrial applications with a wheeled design for enhanced stability [20] Market Applications - The majority of Zhiyuan's robots are deployed in industrial manufacturing, with significant contracts in the automotive and electronics sectors [22][25] - Notable partnerships include a multi-million dollar deal with Longqi Technology for precision tasks in tablet assembly and a contract with Jingsheng Electronics for automotive safety component production [27] - The company has also secured a major procurement project with China Mobile, involving the deployment of 200 humanoid robots for customer service [29] Industry Context - The humanoid robot market in China is projected to reach approximately 5000 units in sales by 2025, indicating a growing demand for such technologies [7][8] - International competitors like Figure and Tesla are also ramping up production, with Figure aiming for an annual capacity of 12,000 units and Tesla targeting close to 10,000 units, although actual production rates may vary [11][12]