克雷西 发自 凹非寺 量子位 | 公众号 QbitAI 因为一个开源AI助理，Mac mini直接爆单了。 为了适配一夜爆火的 Clawdbot ，网友们开始在Google上疯狂搜索Mac mini。 突然炸场的Clawdbot本bot更是成了当红明星，在GitHub上已经斩获了超过两万颗星。 这是一个全天在线的AI智能体，能够调用Claude、Gemini等各路模型，同时还可以充当网关，让你通过各种聊天软件和它对话，像一个"开源 贾维斯"。 比如这位网友就用三台电脑、15个Agent部署了自己的"数字军团"，他只需要在一个Discord频道里坐镇指挥，就能让它们完成处理邮件、读 PPT、写代码、发推文，甚至撰写每日汇报等一系列工作。 onathan Rhvne @jdrhvne What my @clawdbot army does: 15+ agents. 3 machines. 1 Discord server. And yes - IT built most of this, just by chatting. 翻译帖子 至于为啥各路大神都青睐用Mac mini来部署，因为它 便宜好用，而且环境更接近 ...

鱼羊 发自 凹非寺 量子位 | 公众号 QbitAI "DeepSeek-V3是在Mistral提出的架构上构建的。" 欧洲版OpenAI CEO此言一出，炸了锅了。 网友们的反应be like： 这还是温和派，还有更直接的吐槽：Mistral在胡说八道些什么…… 还没吃上瓜的家人们别着急，咱们从头捋一捋这事儿： 在最近一次访谈中，当被问到如何看待中国开源AI的强势发展时，Mistral联合创始人、CEO Arthur Mensch这样回应： 中国在AI领域实力强劲。我们是最早发布开源模型的公司之一，而他们发现这是一个很好的策略。 开源不是真正的竞争，大家在彼此的基础上不断进步。 比如我们在2024年初发布了首个稀疏混合专家模型（MoE），DeepSeek-V3以及之后的版本都是在此基础上构建的。它们采用的是相 同的架构，而我们把重建这种架构所需的一切都公开了。 Arthur Mensch很自信，但网友们听完表示：桥豆麻袋，这不对劲。 且不说DeepSeek MoE论文的发布时间和Arthur Mensch提到的Mixtral论文相差 仅3天 ： △ 图源：@Sebastian Raschka 认真细扒起来， ...

Core Viewpoint - World Labs, founded by Fei-Fei Li, is seeking to raise up to $500 million at a valuation of approximately $5 billion, marking a significant increase from its previous valuation of $1 billion in 2024, indicating a 5x revaluation in just over a year [2][4]. Financing and Valuation - If the financing is successful, World Labs' valuation will jump from $1 billion to $5 billion, reflecting a rapid increase in investor confidence in its "world model" approach [2][4]. - World Labs has previously raised a total of $230 million, with initial funding rounds led by notable investors such as Andreessen Horowitz and Radical Ventures, and later rounds involving firms like NVIDIA and Temasek [5][6]. Product Development - World Labs is developing AI systems capable of navigation and decision-making in three-dimensional environments, focusing on creating "large world models" that understand the structure and evolution of the physical world [8][9]. - The company launched its first 3D world generation model, Marble, which can create explorable 3D environments based on text or image prompts, utilizing advanced techniques like 3D Gaussian Splatting for efficient rendering [10][14]. Strategic Importance - Fei-Fei Li emphasizes that world models are crucial for achieving spatial intelligence and are considered the next core focus for AI in the coming decade, following large language models [16][18]. - The world model is seen as a foundational capability that can influence multiple application areas, providing predictive representations of environments essential for effective decision-making and control [18][22]. Competitive Landscape - Another significant player in the world model space is AMI Labs, founded by Yann LeCun, which is pursuing a different approach focused on implicit world models. This indicates a broader investment interest in various technological paths within the world model domain [20][24]. - The world model landscape can be categorized into three layers, with LeCun's JEPA positioned at the highest abstract level, highlighting the diverse strategies being adopted by different companies in this field [24][27].

SceneMaker团队 投稿 量子位 | 公众号 QbitAI 当前3D生成技术深陷"半开放"窘境：模型能打造精美的样板间，却对真实世界中千变万化的物体与场景表现不稳定。 IDEA研究院张磊团队与香港科技大学谭平团队联合推出 SceneMaker 框架，有望攻克这一问题。 它以视启未来的万物检测模型DINO-X与光影焕像的万物3D生成模型Triverse为基础， 实现了 从任意开放世界图像（室内/室外/合成图等） 到带Mesh的3D场景 的完整重建 。 它不仅解决了严重遮挡下的几何质量衰退难题，更具备 文本指令可控的去遮挡能力 ，为真实世界感知与建模 （Real-to-Sim） 带来了关键 突破。 △ 视频1：通过3D场景生成技术生产的开放世界场景 一、3D场景生成的"室内魔咒" 如何让计算机感知和建模真实世界 （Real-to-Sim） 一直是人工智能领域的核心挑战，而3D场景生成正是这一挑战中的关键任务之一。 该任务旨在从输入的场景图像中恢复完整的三维结构：模型需要生成 开放世界下任意场景 中各个物体的显式三维几何表示 （如mesh） ，同 时估计其在空间中的位姿信息，最终重构出可交互、可编辑的3D场景 ...

Core Viewpoint - A new study from Stanford University School of Medicine focuses on joint health, aiming for cartilage regeneration through oral or injectable drugs without relying on expensive stem cells or surgical replacements [1][3]. Group 1: Research Background - The study addresses the "impossible triangle" of cartilage repair, which includes the scarcity of cartilage cells, lack of blood supply for repair materials, and the harsh environment due to continuous load and friction [4][5]. - Millions suffer from joint pain and swelling as they age, indicating a significant unmet medical need [6]. Group 2: Current Treatment Limitations - Existing treatments primarily focus on pain relief and symptom management, often leading to costly joint replacement surgeries over time [10][11]. Group 3: Enzyme Focus - The research team identified the enzyme 15-PGDH, which breaks down prostaglandin E2, crucial for muscle stem cell function. Inhibiting this enzyme can promote repair in various tissues [13][14]. - The hypothesis is that inhibiting 15-PGDH could "awaken" the regenerative capacity of aging or damaged cartilage [15]. Group 4: Experimental Findings - The study demonstrated that inhibiting 15-PGDH significantly reversed natural cartilage loss in older animals and prevented post-injury arthritis [16][18]. - The method does not rely on stem cells, as cartilage cells can change their gene expression to a more youthful state [18][30]. Group 5: Specific Experimental Results - In experiments, injecting a small molecule drug that inhibits 15-PGDH in older mice resulted in thickened, functional cartilage, proving the drug's effectiveness in reversing age-related cartilage degeneration [23][24]. - The research also showed that the drug could prevent cartilage degradation and typical arthritis changes after simulated ligament injuries in mice [28][29]. Group 6: Human Application - Following successful mouse experiments, the drug's effects were validated on human samples, showing reduced activity of degenerative genes and early signs of regeneration within a week [35][36]. - An oral drug targeting 15-PGDH is currently undergoing clinical trials for muscle weakness, with initial safety confirmed [37]. Group 7: Future Directions - The research team aims to conduct more experiments to simplify and reduce the cost of treating joint issues, potentially transforming current treatment methodologies [38].

henry 发自 凹非寺 量子位 | 公众号 QbitAI 如果没有PhD，是不是就和前沿AI研究没关系了？ 至少在 Noam Brown 看来，未必。 这位 OpenAI 研究员、o1的核心贡献者 ，刚刚分享了一串"非典型研究员"的经历。 有人没有论文、有人没读研、有人白天在麦肯锡上班，晚上在GitHub写研究。 还有人没事就在推特发帖、GitHub上提问的。 他们后来都去了哪？ OpenAI、DeepMind、Anthropic。 进OpenAI，并不一定要博士学位 在这篇长帖中，Noam分享了 Keller Jordan 、 Sholto Douglas 、 Andy Jones 、 Kevin Wang 等一批"非典型"研究员的经历。 总体看下来，他们都有一些相同的特质。比如，主动性极强（热爱）、公开研究，不闭门造车、工程能力在线、会PR、不执着于头衔。 接下来，我们具体来看。 Keller Jordan：套瓷研究+推特学术 首先被Noam分享的，是 Keller Jordan 。 他现在在OpenAI，从事预训练相关的研究。而他的研究生涯，某种程度上，起于一段典型的"套瓷研究"。 最终，他们与其他作 ...

Core Viewpoint - The article emphasizes the ongoing AI boom and invites individuals to join the company "Quantum Bit," which focuses on tracking AI advancements and has established itself as a leading content platform in the industry [1]. Job Opportunities - The company is hiring for three main directions: AI Industry, AI Finance, and AI Product, with positions available for both experienced professionals and fresh graduates [2][4]. AI Industry Direction - Responsibilities include monitoring innovations in infrastructure, such as chips, AI infrastructure, and cloud computing, as well as producing accessible interpretations of cutting-edge research and technical reports from major conferences [6][7]. - The company offers a dynamic work environment, opportunities for personal influence, and professional mentorship for newcomers [6]. AI Finance Direction - This role focuses on venture capital and financial reporting within the AI sector, tracking capital movements in the industry and producing analyses of investment trends and company strategies [9]. AI Product Direction - Responsibilities involve assessing AI applications and hardware, tracking new product releases across various platforms, and engaging with entrepreneurs and product experts in the AI space [10]. Company Growth and Impact - By 2025, Quantum Bit aims to have over 2.4 million subscribers on WeChat and more than 7 million users across all platforms, with a daily reading volume exceeding 2 million [12].

克雷西 发自 凹非寺 量子位 | 公众号 QbitAI 中国铁电材料研究获重大突破，为下一代人工智能器件奠定了全新物理基础！ 中科院物理研究所的最新成果，揭开了 萤石结构氧化锆中原子级"一维带电畴壁" 的神秘面纱，论文登上了最新一期Science。 突破铁电材料存储密度极限 在了解这项成果之前，首先了解一下什么是铁电材料。 铁电材料是指一类具有自发极化，且极化方向可由外电场翻转的晶体材料。 如果用更通俗的语言来描述，可以将铁电材料想象成内部充满了微小的"电学指南针"，它们并不指向地理的南北，而是指示着正负电荷分离的 方向。 团队通过原子级成像证实，这些畴壁的宽度和厚度仅为一个晶胞大小，被限制在二维极性层内部，达到了物理尺寸的极限。 该发现揭示了氧离子"自我平衡"的电荷屏蔽机制，不仅突破了传统二维畴壁的存储密度瓶颈，还发现了这种一维结构具备独特的"极化-离子"耦 合传输特性。 这种特性的揭示，为 构建高能效的类脑计算芯片与人工智能器件开辟了全新的物理路径 。 为了维持能量最低的稳定状态，这些"指南针"通常会成群结队地指向同一方向，形成铁电畴（Domain）。 如果将铁电材料比作一个魔方，那么颜色相同的小方块区域 ...

Core Viewpoint - The article emphasizes the ongoing AI boom and invites individuals to join the company "Quantum Bit," which focuses on tracking AI advancements and has established itself as a leading content platform in the industry [1]. Group 1: Job Opportunities - The company is hiring for three main directions: AI Industry, AI Finance, and AI Product, with positions available for both experienced professionals and fresh graduates [2][4]. - Positions are open for various levels, including editors, lead writers, and chief editors, with a focus on matching roles to individual capabilities [6]. Group 2: Job Responsibilities - **AI Industry Direction**: Responsibilities include tracking innovations in infrastructure, such as chips, AI infrastructure, and cloud computing, as well as interpreting technical reports from conferences [6][7]. - **AI Finance Direction**: Focuses on venture capital, financial reports, and capital movements within the AI industry, requiring strong analytical skills and a passion for interviews [11]. - **AI Product Direction**: Involves monitoring AI applications and hardware developments, requiring a keen understanding of product experiences and market trends [11]. Group 3: Benefits and Growth - Employees will have the opportunity to engage with industry leaders, participate in significant tech events, and receive mentorship from senior editors [6]. - The company offers competitive salaries and comprehensive benefits, including social insurance, meal allowances, and performance bonuses [6]. Group 4: Company Growth Metrics - By 2025, Quantum Bit aims to have over 2.4 million subscribers on WeChat and more than 7 million users across all platforms, with a daily reading volume exceeding 2 million [12].

Group 1 - Meta is elevating its focus on computing power to an unprecedented strategic level [39] - The company has undergone organizational restructuring, increasing its executive team from 148 to 167 members, with more individuals reporting directly to CEO Mark Zuckerberg [2][8] - The new project "Meta Compute" aims to establish tens of gigawatts of computing infrastructure within this decade, potentially expanding to hundreds of gigawatts [12][39] Group 2 - The leadership of "Meta Compute" includes Santosh Janardhan, a long-time Meta employee, and Daniel Gross, a recent hire with a strong AI background [10][25] - Meta's capital expenditure is projected to soar to $70 billion to $72 billion in 2025, nearly doubling from approximately $39 billion in 2024 [50] - The company has committed to investing over $600 billion in data center expansion in the U.S. by 2028, which supports the ambitious plans of "Meta Compute" [52] Group 3 - Meta is integrating AI chip capabilities by acquiring talent from the startup Rivos, which specializes in high-performance AI acceleration chips [41][47] - The company is also developing new AI models, with the first models expected to be delivered internally and launched in Q1 2026 [55][58]