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星期二

  1. The Elec

    三星电子在 KES 2026 展示 AI 生态:Bespoke AI 家电与 Galaxy Z Fold8 系列

    三星电子在 10 月 13 日至 16 日于首尔 COEX 举办的 KES 2026 上设立 869 平方米展台,展示覆盖家电、移动设备与显示器的 AI 生态。展品包括 Bespoke AI Family Hub 冰箱、Bespoke AI Combo 洗烘一体机、Micro RGB 电视和 Galaxy Z Fold8 系列,其中 Galaxy Z Fold8 重 201 克,为 Fold 系列迄今最轻机型。

    s, and the Galaxy Z Fold8 series. The Bespoke AI Family Hub refrigerator features an AI food management system that uses an internal camera to recognize ingredients and monitor storage conditions. The Bespoke AI Combo detects laundry conditions and automatically adjusts washing intensity and drying temperature. Samsung's TVs feature Vision AI Companion, which interacts with users and answers questions about content and other topics. The mobile section features the Galaxy Z Fold8 Ultra, Galaxy Z

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  2. The Elec

    MangoBoost 推出 Mango Inference 推理平台,目标明年营收超 1000 亿韩元

    MangoBoost 于 10 月 12 日正式商用其 AI 推理平台 Mango Inference,用户可通过 API 接入按 token 消耗付费,支持 DeepSeek、GLM 和 MiniMax 等模型。公司称定价比竞争对手低 20% 以上,并计划明年一季度在首尔江南建成 1MW AI 数据中心,可扩展至 5MW,GPU 由 AMD 供应。其今年营收预计约 100 亿韩元,明年目标超过 1000 亿韩元。

    s depending on the AI model, performance, and token consumption. MangoBoost explained that its proprietary Data Processing Units (DPUs), graphics processing unit (GPU) servers, storage servers, and networking technology help cut infrastructure costs and boost operational efficiency. "Nvidia and MangoBoost are the only companies with this kind of business model," Kim added. MangoBoost is also expanding its data center infrastructure to support Mango Inference. It plans to establish a 1-megawatt (

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  3. Sarvam AI Blog

    Sarvam AI 发布 Bulbul V4 Flash 文本转语音模型

    Sarvam AI 推出面向印度语言的文本转语音模型 Bulbul V4 Flash,生产环境下首音频延迟低于 250 ms,定价为每 10,000 字符 20 卢比,比 Bulbul V3 的 30 卢比便宜三分之一。该模型基于 V4 研究蒸馏而来,训练数据超过 4000 亿音频 token,语音库规模较 V3 扩大近七倍,并针对实时对话优化了推理栈。

    oss Indian languages varies widely in volume, speaker diversity and expressive range. We expanded our proprietary speech datasets nearly seven times relative to V3, increasing coverage across languages, regional accents, speakers, emotional registers and conversational styles. Scale solved one problem and exposed another. A compact model trained on many languages tends to average them, blurring the features that make each one distinct. So we pretrained V4 from scratch with Indian language repres

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  4. Meta Engineering Blog

    Meta 在 OCP Summit 2026 发布 IcePack 液冷网络机架与 102.4T IceCube 交换机等开放网络创新

    Meta 在 OCP Summit 2026 上发布首款液冷网络机架 IcePack 和 102.4T 交换机平台 IceCube,后者提供 128×800G 无阻塞交换容量,带宽较 51.2T 平台翻倍,分别基于 Broadcom Tomahawk6C 和 NVIDIA Spectrum-6 ASIC。Meta 同时推出多平面后端 scale-out 架构 Flattened Planar Fabric(FPF)、开源 AI 传输协议 MetaRoCE,并与微软、阿里联合发起交换机平台标准化计划 OSPA,其 v1.0 规范已提交 OCP。

    comes in two variants, one built on Broadcom’s Tomahawk6C switch ASIC and one on NVIDIA Spectrum-6 Switch ASIC. Both run Meta’s open-source FBOSS network operating system that leverages OCP SAI (Switch Abstraction Interface). This new generation represents a 2x bandwidth increase over our 51.2T platforms while achieving the thermal density required for next-generation AI data centers. As seen at Meta and across the industry, AI clusters now span buildings, campuses, and multiple regions. This de

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  5. The New Stack

    从零自建平台的团队,缺乏清晰战略的可能性高出 3.5 倍

    Octopus 对 379 名平台从业者的调查显示,以从零自建为主要方式的团队报告缺乏清晰战略的比例为 57.9%,约为使用模板(15.6%)或采购底层工具(16.7%)团队的 3.5 倍。整体上 51.3% 的团队以采购底层工具为主,31.2% 基于现有模板构建,仅 17.5% 从零自建。这些团队并非更普遍地使用 AI,而是在遗留系统现代化和语言迁移上更依赖 AI。

    g well. Teams whose platforms offer them were far more likely to report that AI has positively affected the speed and stability of software delivery; the same was true of code coverage and cost control . Among teams reporting an extremely positive effect, more than three-quarters had ephemeral environments. This association also likely reflects the platform rather than the feature. Teams with ephemeral environments tend to run on broad platforms with a range of automated delivery capabilities ar

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  6. Meta Engineering Blog

    Meta 在 Instagram Live 直播推流中部署 Media over QUIC(MoQ)

    Meta 已在 Instagram iOS 和 Android 端的直播推流中启用 IETF 开放标准传输协议 Media over QUIC(MoQ),替代内部协议 RUSH。经过数月实验,MoQ 路径在各项流媒体质量与可靠性指标上与 RUSH 持平。MoQ 面向低延迟与弱网场景设计,未来有望统一推流、分发与播放的协议栈。

    , and is complementary to the low-latency properties that matter for real-time use cases. RUSH was falling behind the open ecosystem: Live ingest had been running on RUSH, Meta’s pragmatic QUIC-based answer to RTMP. RUSH was stable and performant at scale for nearly a decade, but the move to MoQ shifts development from a protocol operated primarily by Meta to a shared standards effort. Multiple implementers can contribute experience, test interoperability, and improve the specification instead o

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  7. Meta Engineering Blog

    Meta 如何将闲置 AI 推理容量转化为更好的广告推荐

    Meta 构建了一套系统,把分散在各团队配额、区域和加速器类型中的闲置推理容量聚合成共享的机会容量池,用于提升广告推荐效果。系统通过 Rank More Ads(RMA)调整排序阶段评估的候选广告数量、Serve Better Models(SBM)调整路由到更强模型的请求比例这两个弹性杠杆,在不影响基线服务的前提下扩展可选工作负载。

    At Meta, we’ve built a system that enhances ads recommendations by leveraging idle inference capacity in our fleet; Two elasticity levers in the system allow ads recommendation work to expand across opportunistic capacity, without compromising baseline performance; This post describes how we designed and now operate the system at Meta’s scale and how it drives significant advertiser value and capacity efficiency Inference fleets face a capacity paradox: They can be globally constrained while mea

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星期一

  1. The New Stack

    Andrej Karpathy:只有 5,000 人见过 AI 真正的能力

    加入 Anthropic 的 OpenAI 创始成员 Andrej Karpathy 估算,约 60 亿人几乎没用过 LLM,10 至 20 亿人偶尔使用聊天机器人,约 2,000 万人专业使用前沿模型做数学和代码,仅约 5,000 人能在实验室内部接触前沿系统。Box CEO Aaron Levie 回应称这正说明 AI 扩散仍处早期,并看好“agent swarms”在企业工作流中的前景,但指出模型能力不均、规模化成本高、多智能体管理工具尚不成熟。

    .” “Capability peaks in domains that are digital, verifiable and economically valuable.” Karpathy also thinks people aren’t giving these systems enough to do. “A question with a paragraph answer barely stresses the system,” he wrote. The real gains become apparent when agents can spend hours working through a problem, testing changes and trying again. In March, Karpathy’s AutoResearch project ran 50 experiments overnight on a single GPU, found a better learning rate and committed the change to G

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  2. Computerworld

    Google Messages 的 16 个进阶 Android 消息功能

    Google Messages 新增“回收站”分区,被删除的对话可在 30 天内查看并恢复;同时支持在 RCS 会话中编辑已发送消息,以及为所有人撤回删除消息。此外,用户还能把联系人头像设为自定义通知图标,该功能需 Android 11 或更高版本。

    does exactly that. A long-standing Messages feature called, appropriately, Nudges, will periodically move conversations to the top of your messages list and emphasize ’em to encourage you to reply. If you find that to be helpful, hey, more power to ya. Keep it on! But if you find it to be little more than a nuisance, as I do, take 10 seconds to disable it: Just head back into the Messages app’s settings (by tapping your profile picture in the upper-right corner and selecting “Messages settings”

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  3. MIT Tech Review

    火星或许是地狱,但月球也好不到哪去

    NASA 在局长 Jared Isaacman 领导下公布月球基地计划,拟于 2028 年启动首次载人登月任务,2030 年代建成长期居住舱、科研站与资源开采设施,规模达数百平方英里。月球南极永久阴影陨石坑温度可低于 –410 °F,且面临辐射、月尘与昼夜各 14 天的极端温差,基地还需自给自足并依靠自主机器人建造维护。

    hese cosmic rays have oodles of kinetic energy, meaning they can punch through thin shielding (say, a metal wall) with ease. “They also have this habit where the heavier ions are fragmenting in that shielding and making secondary particles,” says George. That means if your shield is too thin, the astronauts behind it will be blasted with a surprisingly large dose of radiation. Then you have the sun. It may sustain life on Earth, but without our planet’s thick atmosphere and magnetic bubble to ge

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  4. Data Center Knowledge

    TRG DataCenters 发布美国 AI 数据中心就绪度排名:弗吉尼亚居首,小州凭电力与水资源追赶

    TRG DataCenters 2026 年 8 月对 24 个美国州做 AI 数据中心就绪度排名,弗吉尼亚以 100 分居首,俄亥俄 88.2、田纳西 83.7、佐治亚 81.8、得克萨斯 80.8 分列其后。弗吉尼亚映射 7 个大型 AI 站点、共 1,085 MW,年碳排放约 230 万吨,低于俄亥俄的 450 万吨和田纳西的 430 万吨,但约三分之一站点位于高水压力地区。南卡罗来纳仅 1 个大型站点、142 MW 却以 80.5 分排第六,得州 13 个站点中 58.8% 位于高水压力地区。

    of those facilities were located in areas of high water stress. Hinkle said he expects those conditions to influence cooling choices and project locations. “That is likely to encourage more sophisticated siting and infrastructure strategies rather than simply slowing development,” he said. “We could see greater use of approaches such as closed-loop or air-based cooling, recycled water, and locations where local water conditions are more favorable.” TRG notes that the water-stress measure describ

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  5. heise online

    智能 Exosuit 如何让疲惫的身体重新站起来

    慕尼黑工业大学(TUM)智能仿生机器人系统教席负责人 Lorenzo Masia 团队展示了一款轻量 Exosuit,可辅助使用者从坐姿站起、爬楼梯和散步,动力输出与自然动作节奏相匹配。该设备采用隐藏式电机与人工肌腱,未来有望直接缝入衣物,面向行动能力受限人群提供助力。

    h zukünftig in Kleidung einnähen. Der Entwickler verspricht Hilfe, um vom Stuhl aufzustehen oder Treppen zu steigen. Ein leichter Exosuit, in diesem Fall noch über der Kleidung getragen, gibt zusätzliche Kraft zum Aufstehen, abgestimmt auf den natürlichen Bewegungsablauf. (Bild: Andreas Heddergott/TUM) Arne Grävemeyer Wie intelligente Exosuits müde Körper wieder auf die Beine bringen Exoskelette für die schwere Arbeit; KI-gesteuert passend zur natürlichen Bewegung Manchmal braucht ein Mensch nur

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  6. The Guardian Technology

    六位家长谈如何限制孩子使用社交媒体与 AI

    《卫报》采访六位家长,多数受访者表示不再希望孩子使用社交媒体,不少人也在引导孩子远离 AI。一位在 AI 领域工作的家长称自己“变得明显更加谨慎”,担忧学校过早引入这些工具且缺乏家长参与;另一位家长则因 AI 耗水耗能而全家尽量避免使用 AI 应用。

    that supports their upbringing, and the knowledge that the very work is destroying their future – whether that be on an economic or environmental level. Do I feel the need to encourage them to use AI? Yes. Do I want to? No. On the flipside, social media is out. They can use WhatsApp to connect and build real-world relationships. But otherwise no good can come of it. – Andy, 43, London, UK The eco-conscious mom who is wary of both social media and AI The recent major lawsuits against Meta, along

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  7. heise online

    语言模型如何推动 Decision Intelligence 的临界点

    语言模型正在改变企业将数据转化为决策的方式,把分析链条从“发生了什么”扩展到预测性预测和规范性行动建议,并以自然语言直接呈现给不具备 SQL 或数据模型知识的用户。文章梳理了 LLM 进入 BI 的三条路径:BI 工具内置 LLM、原生 LLM-BI 工具和外部语言模型,并强调语义模型、数据质量与治理是基础,同时需应对模型幻觉、偏见和提示词注入风险。

    n Berichte und Dashboards, die Kennzahlen visualisieren und regelmäßiges Monitoring ermöglichen. Dieses Paradigma hat Unternehmen zuverlässig bei der Beantwortung einer zentralen Frage unterstützt: Was ist passiert? Doch Entscheider brauchen mehr. Sie wollen verstehen, warum etwas passiert ist, was als Nächstes passieren wird und welche Maßnahmen den größten Hebel bieten. Genau hier können Large Language Models ansetzen. Sie erweitern die analytische Kette um prädiktive Prognosen und präskriptiv

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  8. The Guardian Technology

    iPhone 18 Pro Max 评测:苹果最大、最重、续航最长的超级手机

    iPhone 18 Pro Max 是苹果迄今电池最大的 iPhone,轻用可撑近三天、亮屏约 7 小时,比前代多约 4 小时,重 249g、起售价 £1,299(€1,599/$1,299/A$2,299)。它搭载 A20 Pro 芯片、6.9in 120Hz OLED 屏、12GB RAM 与三颗 48MP 后置摄像头,主摄新增可变光圈,并运行 iOS 27 与新版 Siri AI。

    maller camera cut out and bigger dynamic island of the regular 18 Pro. Specifications Screen: 6.9in Super Retina XDR (120Hz OLED) (460ppi); Processor: Apple A20 Pro; RAM: 12GB; Storage: 256, 512GB or 1TB; Operating system: iOS 27; Camera: 48MP + 48MP UW + 48MP 4x, 18MP front-facing; Connectivity: 5G, wifi 7, NFC, Bluetooth 6, Thread, USB-C, Satellite, UWB and GNSS; Water resistance: IP68 (6 metres for 30 mins); Dimensions: 163.4 x 78 x 8.75mm; Weight: 249g Battery life for days The 18 Pro Max ha

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  9. MarkTechPost

    TII 发布 Falcon-ASR:1.6B 阿拉伯语语音模型,平均 WER 20.92%

    阿布扎比技术创新研究院(TII)发布 1.6B 参数的阿拉伯语语音识别模型 Falcon-ASR,在 6 个阿拉伯语测试集上平均词错误率(WER)为 20.92%,比 TII 榜单中最佳已发布结果低 2.25 个百分点。该模型以阿联酋方言为重点,同一套权重覆盖阿拉伯语、英语、法语、西班牙语和葡萄牙语,并输出词级时间戳。目前仅提供 Hugging Face 托管 demo(支持最长 60 秒、20 MB 音频),未发布权重、许可证或 API。

    Arabic speech recognition model. It focuses on the Emirati dialect and also transcribes English, French, Spanish and Portuguese. In TII’s evaluation, Falcon-ASR posts a 20.92% average word error rate (WER) across 6 Arabic test sets. That beats the best published entry in TII’s leaderboard snapshot by 2.25 points. For developers building Arabic voice products, the catch is access: today it runs only as a hosted demo. TL;DR Size: 1.6B parameters. Max audio context: Not disclosed (the demo accepts

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  10. Andrej Karpathy

    Karpathy:LLM 能力认知差距正扩大为漏斗

    Karpathy 称 LLM 能力认知差距正从“两群人各说各话”扩大为漏斗:约 60 亿人(75%)几乎没接触过 LLM,10-20 亿人(20%)只用免费版聊天机器人,约 2000 万人(0.2%)在数学与代码领域专业使用前沿模型,仅约 5000 人(0.00006%)能内部访问前沿系统。漏斗由三因素驱动:影响随问题规模与时间跨度放大、系统能力在数字化可验证领域呈锯齿状峰值、以及免费/付费/内部访问层级差异。

    nuscripts on frontier mathematics for a while. The funnel is driven by a combination of factors: 1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel. 2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, veri

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  11. OpenClaw

    OpenClaw v2026.10.1 发布

    OpenClaw v2026.10.1 发布 🦞 🔎 已安装技能发现 🧩 聊天旁的 MCP Apps 💾 完整备份至外部存储或 Cloudflare R2 💻 更简单的 Mac 设置 🛠️ 大量 bug 修复与调整 来自 402 位贡献者的 2,425 个 PR。谢谢!https://t.co/PbCnvJ2QEx

    OpenClaw v2026.10.1 is out 🦞 🔎 Installed-skill discovery 🧩 MCP Apps beside chat 💾 Full backups to external storage or Cloudflare R2 💻 Simpler Mac setup 🛠️ MANY bug fixes and tweaks 2,425 PRs from 402 contributors. Thank you! https://t.co/PbCnvJ2QEx

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星期日

  1. Recode China AI

    DeepSeek 拟融资超 120 亿美元,Manus 分拆后获 5 亿美元,可灵筹备超 10 亿美元 IPO

    中国 AI 周报汇总本周动态:DeepSeek 正融资至少 120 亿美元,腾讯参投,CNBC 消息称其考虑将规模翻倍至 150 亿美元,中文媒体则称这是千亿元人民币级融资。Manus 从 Meta 分拆后首轮融资超 5 亿美元,重启北京办公室并大举招聘,转向个人 AI 助手方向。彭博社报道快手旗下 AI 视频业务可灵已选定投行,计划 IPO 募资超 10 亿美元。此外,生数发布 Vidu Q4 Preview,支持最多 15 个图像参考和 3 个音频参考;字节将豆包 2.1 Lite 接入豆包 Work 并新增无限画布;路透报道一项研究称中国模型发布中仅 3.6% 公布了安全测试。

    Tony Peng's avatar

    more competition abroad. Shengshu released Vidu Q4 Preview, with its official announcement describing support for up to 15 image references and three audio references. Chinese coverage also reported the launch; the advertised improvements in expressiveness still deserve hands-on testing. (爱范儿/@ViduAI official); ByteDance put Doubao 2.1 Lite, a lightweight model tuned for office work, into Doubao Work alongside a new infinite-canvas feature. (雷峰网); Reflection unveiled an open AI model positioned

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  2. The Rundown AI

    微软 Copilot 负责人 Jacob Andreou 谈 AI 产品缺口

    微软 Copilot 负责人 Jacob Andreou 表示,新版 Copilot 围绕 Home、Code、Autopilot 三项能力重建,定位为“工作操作系统”。他称微软已从多个 Windows 应用中撤下 Copilot,因为高流量入口并未带来实际价值,减少入口后单用户使用量反而上升。他还指出没有单一实验室的模型能通吃所有任务,Copilot 因此推出 Auto 模式自动选模型,同时保留手动选择。

    , customize, and scale AI at work. Home: Your starting point in Copilot, with chat, Cowork, and full Office capabilities in one place; Code: Build apps, dashboards, and workflows in a safe environment by describing them in plain language, no coding experience needed; Autopilot: An always-on digital teammate with its own identity, memory, and workspace that keeps working even when you're not See new Copilot capabilities in action. That's it for today! ⭐️⭐️⭐️⭐️⭐️ Nailed it; ⭐️⭐️⭐️ Average; ⭐️ Fail

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