鱼羊 发自 凹非寺 量子位 | 公众号 QbitAI 让特斯拉转型成「机器人」公司，马斯克来真的了： 在最新财报电话会议上，马斯克宣布，特斯拉将在2026年第二季度 停产豪华车型Model S和Model X 。 现在是时候让Model S和Model X体面地退出舞台了，因为我们正在迈向一个以自动驾驶为基础的未来。 擎天柱官推则更为明确地放出了这样一个视频，配文： Model S和X将通过我继续存在。 马斯克透露，在把特斯拉加州弗里蒙特工厂的Model S/X生产线改造成擎天柱生产线后，其机器人的产量将达到 每年一百万台 。 特斯拉「情怀」车型走向终结 Model S/X的退役，倒也不是无迹可寻。 毕竟马斯克2019年就说过，这两款分别诞生于2012年和2015年的车型纯粹是因为"情感原因"才被继续生产的。 数据很直接：在过去几年里，特斯拉每年能卖出差不多170万辆车，其中Model S/X也就占几个百分点，并且销量还在持续下降。 目的很明确，就是要给特斯拉机器人擎天柱 （Optimus） 让出生产线。 财报显示，特斯拉第四季度净利润为8.40亿美元，较上年同期下降了61%。 | ($ in million ...

一水 发自 凹非寺 量子位 | 公众号 QbitAI 把AI模型发布会开在Livehouse，昆仑天工你是懂氛围感的（doge）！ 虽然乍一听有点奇怪，但如果告诉你这里正在发布的是一款 音乐模型 ，估计你也就get到它的小巧思了。 先不说别的，咱这就火速品鉴一下这支由 新模型Mureka V8 提供BGM的MV： 在发布会现场，昆仑万维董事长兼CEO方汉表示： 为什么要把Mureka当品类来做？这其实和我们的使命有关——我们想让音乐变成每个人都拥有的表达方式，记录当下的心情、记忆、想 说的话等等。 而当好的AI音乐成为一种新品类，AI版"Spotify"（指旗下的Mureka）会成为行业的灯塔 ，能让创作者被看见，让作品被放大，让行 业形成新的共识。 而他所描绘的这一未来图景，也获得了高晓松及国内顶尖唱片公司负责人的认可。作为离产业一线最近的人，他们对好的AI音乐引发的变革浪 潮，感知也最为敏锐。 是不是很有韩国女团打歌的feeling了~不过从现场来看，这还只是Mureka V8实力的冰山一角—— 在各路音乐人实测中， 它一举打败硅谷顶尖音乐模型Suno V5，登顶垂类世界第一 。 而随着这一标志性节点的出 ...

henry 发自 凹非寺 量子位 | 公众号 QbitAI 美国机器人界掌管demo的神，Figure，冷不丁又出一拳！ 这一次，他们带来了最新的具身大脑 Helix 02 以及最新的家务demo。 在推特上，Figure老板Brett直接放话： 机器人跳舞没什么难的，真正的难点在智能控制。 我们最强的模型来了，能完成复杂和长时序的任务。 话虽狂，但这次的demo，真的很有说服力。 在视频中，搭载Helix 02的Figure 03，在普通的家庭厨房里，自主完成了洗碗机取盘并放入橱柜的整套流程。 在接近4分钟 的完整任务里，机器人从头到尾 没有重置、没有人工干预、也没有遥操作 ，行走、抓取、搬运、放置等61个操作全部连成一条 连续动作链。 Figure直言，这是迄今为止，人形机器人 自主完成的时间跨度最长、复杂度最高 的任务。 而且必须强调的是，这一次Helix 02 不再是上下半身分别控制 ，而是把视觉、触觉等感知统一接入， 由一个系统直接输出全身动作的端到端 其中新引入的system0还基于1000小时人类数据训练，替代了之前手写的10万多行代码。 对此，前CMU机器人研究员Chong Zhang也表示： ...

编辑部 发自 凹非寺 量子位 | 公众号 QbitAI AI热潮还在汹涌，但如果你还不知道如何参与……那为什么不来 量子位 呢？ 我们是一家以 追踪AI新进展 为核心的内容平台，经过8年积累，目前拥有顶流影响力，广泛且备受认可的产业资源，以及时代风口的最佳观 测和学习生态位。 目前，我们有 三大方向 岗位招聘，希望你是 （或者能成为） 这三个方向的内容专家： 岗位均为全职，工作地点：北京中关村。 岗位面向： 加入我们，你可以获得： 以下是岗位详情： 所有岗位不同能力层级职位均在开放，欢迎结合个人履历和经验申请。 AI产业方向 岗位职责： AI产业方向 ：关注基建层创新，包含芯片、AI Infra、云计算； AI财经方向 ：关注AI领域创投和财报，跟踪产业链资本动向； AI产品方向 ：关注AI在应用和硬件终端方向的进展。 社招：覆盖编辑、主笔、主编各个层级，按能力匹配岗位； 校招：应届毕业生，接受实习且可转正。 站在AI浪潮之巅 ：第一时间接触和了解AI领域最新技术和产品，构建完整的AI认知体系。 玩转AI新工具 ：将各种AI新技术、新工具应用于工作，提升工作效率和创造力。 打造个人影响力 ：通过撰写独家原创内 ...

Core Insights - OpenAI has launched a free research writing platform called Prism, which integrates the GPT-5.2 model into an online LaTeX editor, enhancing the writing process for academic papers [1][2] - The platform streamlines the workflow of finding literature, previewing, and writing text within a single webpage, resembling a Vibe Coding approach [3][6] - Prism allows users to convert handwritten notes or whiteboard photos into well-formatted LaTeX code, significantly improving the efficiency of mathematical formula entry [4][10] Features of Prism - The main interface features a split-screen layout with a LaTeX code editor on the left and a real-time PDF preview on the right, including an AI dialogue box for generating specific formula codes and text refinement [7] - It connects to external databases for literature retrieval and can generate BibTeX codes for citations, ensuring a seamless writing experience [10] - The system includes capabilities for mathematical verification, allowing users to check the accuracy of formulas and their alignment with expected physical symmetries [12] OpenAI's Strategic Goals - The launch of Prism marks the beginning of OpenAI's strategic initiative to penetrate the core of scientific research, termed "AI for Science" (AI4S) [13][14] - OpenAI aims to accelerate scientific discovery by automating time-consuming, non-creative tasks, enabling researchers to focus on core insights [15][18] - The technology behind this initiative is supported by the advanced reasoning capabilities of the GPT-5.2 model, which surpasses previous iterations [19] Industry Predictions - OpenAI's Kevin Weil predicts that 2026 will be a transformative year for the scientific community, akin to the rapid adoption of AI in software engineering observed in 2025 [24] - The expectation is that proficient use of AI tools will become a standard practice in research, moving beyond early adopters to widespread acceptance [25]

金磊 发自 杭州 量子位 | 公众号 QbitAI 从3000小时到 整整20000小时 。 真实世界数据里的 Scaling Law ，直接喂出了个 最强VLA（Vision-Language-Action）基座模型！ 这就是蚂蚁灵波今天开源的具身智能基座模型—— LingBot-VLA 。 为什么说它是目前最强？先看数据。 从"20000小时"这个量上来看，LingBot-VLA已经解锁了迄今为止开源的最大规模真实机器人数据之一。 并且性能也是够打，在权威评测中也全面超越了此前公认最强Physical Intelligence的π0.5，以及英伟达GR00T N1.6等一众国际顶尖模 型。 | Platform | | WALL-OSS | GR00T N1.6 | | | 70.5 | | Ours w/o depth | Ours w/ depth | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | SR | PS | SR | PS | SR | PS | SR | PS | SR | PS | | ...

Core Viewpoint - The article discusses the renaming of Clawdbot to Moltbot due to trademark issues raised by Anthropic, highlighting the implications of this decision on the AI community and the product's popularity. Group 1: Naming and Trademark Issues - Clawdbot was initially named after a cartoon character resembling a lobster, inspired by Claude Code [2][4] - The developer, Peter Steinberger, faced legal challenges from Anthropic regarding the name, which led to the forced renaming [7][9] - The new name, Moltbot, reflects the lobster theme while avoiding trademark conflicts [10] Group 2: Product Features and Popularity - Moltbot is described as an AI agent capable of performing various tasks such as email organization, schedule management, and coding, functioning similarly to a personal assistant [19][20] - The product has gained significant traction, with over 72.2k stars on GitHub, indicating its popularity in the developer community [18] - The deployment of Moltbot on Mac mini has surged due to its affordability and user-friendly environment, leading to increased sales of the hardware [23][24] Group 3: Community Reactions - The renaming has sparked dissatisfaction among fans and developers, with some questioning Anthropic's motives [14][27] - The situation has drawn comparisons to previous trademark disputes in the AI industry, illustrating ongoing tensions in the sector [28]

一凡 发自 凹非寺 量子位 | 公众号 QbitAI 岁末年初，全球AI竞争聚焦到了最新趋势—— 太空算力。 大洋两岸，近期你追我赶。一边是年末硅谷头条，英伟达押注的美国公司 Starcloud ，宣布在太空中跑通了大模型。 这一边，量子位获悉， 国星宇航 最近发布了 全球首个服务硅基智能体的太空算力网 ，计划用 2800颗卫星服务数亿个硅基智能体 。 而且在太空AI、太空算力这个方向，中国玩家不是跟随，从一开始就是以先发者的姿态出现的。 太空算力之争，中美你追我赶 据国星宇航执行副总裁王亚波透露，计划发射的2800颗卫星中，有2400颗提供推理算力，总算力可达十万P级。另外400颗用于训练，训练算 力可达百万P级。 这些卫星全都部署完毕，预计要花近10年时间。据了解，国星宇航去年5月已成功发射01组太空计算中心，完成了关键技术验证。02组和03 组已投产，计划今年实现轨道部署。预计2030年前，可实现千星规模组网和商用，同时完成超大规模训练计算卫星太空在轨验证，2035年前 完成全部组网。 不久前， 英伟达投资的Starcloud 也传出新的动向，利用此前发射到太空中的英伟达H100，运行了开源模型，实现了 ...

Core Viewpoint - Sogou Input Method has undergone a significant AI-driven upgrade, enhancing its functionality and user experience, demonstrating its ability to evolve despite being a long-established product [19][30][41]. Group 1: Upgrade Features - The latest version of Sogou Input Method includes AI text translation, achieving a 40% improvement in recognition fluency and a 98% accuracy rate, even for soft-spoken inputs [11][19]. - A new feature called "light voice recognition" allows users to dictate softly, with the system still accurately capturing the intended message [12][19]. - The input method can refine user input by eliminating filler words, enhancing clarity in communication [13][15]. Group 2: AI Integration - The core logic of the update is a comprehensive reconstruction using AI models for voice, translation, and typing, moving away from traditional rule-based systems [20][19]. - Sogou Input Method has integrated Tencent's self-developed mixed Yuan model, allowing it to provide a more intelligent and personalized user experience [36][39]. Group 3: User Base and Market Position - Sogou Input Method has a unique user base developed over 20 years, understanding user habits and preferences, which is crucial for retaining existing users in the AI era [22][24]. - The product differentiates itself from competitors like WeChat Input Method by offering a more comprehensive AI assistant experience through its unique IP, "Wangzai" [21][25][27]. Group 4: Historical Context and Evolution - Since its launch in 2006, Sogou Input Method has consistently leveraged technological advancements, being the first internet input method in China and integrating search engine technology early on [33][36]. - The evolution of Sogou Input Method is intertwined with the AI development in China, introducing features like smart replies and corrections, and now transitioning to a full AI assistant model [34][36].

Core Viewpoint - The article discusses the launch of Moonshot AI's new model Kimi K2.5, highlighting its advanced capabilities in visual and coding integration, which significantly enhances user experience and productivity in various tasks [10][12][81]. Group 1: Kimi K2.5 Features - Kimi K2.5 integrates visual and text functionalities, allowing users to generate web pages with advanced animations and visual edits through simple commands [17][18]. - The model has achieved state-of-the-art (SOTA) results in various high-difficulty tests, outperforming even some top proprietary models [19]. - Kimi K2.5 offers four operational modes: Quick, Thinking, Agent, and Agent Swarm, catering to different user needs and task complexities [21][23]. Group 2: Visual and Coding Capabilities - The model can generate code from images and modify existing code through visual inputs, making it user-friendly and efficient for non-experts [30][34]. - Kimi K2.5 can autonomously generate aesthetically pleasing designs and layouts based on minimal user input, demonstrating a significant improvement in design quality compared to previous AI outputs [56][58]. Group 3: Agent Swarm Technology - The Agent Swarm feature allows multiple independent agents to collaborate on complex tasks, significantly improving efficiency and reducing the time required to complete projects [64][76]. - This technology enables Kimi K2.5 to handle tasks that would traditionally take weeks in just minutes, showcasing its potential for transforming productivity in various industries [78][79]. Group 4: Market Implications - The advancements in Kimi K2.5 position it as a competitive tool in the AI landscape, particularly in the productivity software sector, where it is recognized by major companies like Microsoft [82]. - The article suggests that Kimi K2.5 empowers users by simplifying complex tasks, allowing them to focus on decision-making rather than execution [84][85].