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星期六

  1. SiliconANGLE

    Reflection AI 在 Hugging Face 开源 Beam 权重与后训练配方

    Reflection AI 将其首个大语言模型 Beam 的权重发布到 Hugging Face,同时开放后训练配方、代码模板以及用于衡量定制后能力与安全护栏变化的工具。Beam 约 5000 亿参数,官方称在部分基准上接近四倍规模模型的表现,训练历时两个月、使用数千块高端显卡,并提供标准版与多个量化版本。此次还发布了用于投机解码的 drafter 模型、多个主流 serving engine 的即用配置和 fused kernels,后续将补充基于自蒸馏的训练配方。

    f industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations. LATEST STORIES What to expect during Dell's 'Cyber Resilience' event: Join theCUBE Oct. 27 RapidCanvas raises $29M to develop custom AI applications for enterprises The agenti

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  2. AWS Machine Learning

    AWS 如何用 Amazon Bedrock AgentCore 构建 AI 智能体生产级评估框架

    AWS 销售运营团队基于 Amazon Bedrock AgentCore Evaluations 搭建了覆盖全生命周期的 AI 智能体评估框架,用于其服务全球 AWS 现场销售的多智能体系统。上线前评估 Customer Insights Agent 时发现其把 410.08 美元三个月营收报成“4.1008 亿美元”等错误,而传统监控始终显示正常;一次预生产测试中,数据、工具与提示词变更错位更让通过率从 78% 跌至 38%。

    Figure 1 Workflow diagram showing 9-stage AgentCore evaluation journey from Define to Improve

    ity of Amazon Bedrock AgentCore, is the connective tissue powering it, alongside Amazon Bedrock Guardrails (safety), Amazon CloudWatch (metrics, alarms, tracing), Amazon Simple Storage Service (Amazon S3) and Amazon Redshift (evaluation persistence), Amazon Quick (dashboards), and AWS Lambda (custom evaluators). In this post, we share how we tackled the hardest operational challenges in running AI agents at enterprise scale, and how Amazon Bedrock AgentCore Evaluations became the backbone of age

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  3. Unite.AI

    Anthropic 称 Claude Mythos 5 设计的量子电路超越已发表最优方案

    Anthropic 在 10 月 16 日的研究博客中称,Claude Mythos 5 与自动评估器构成闭环、基本无人干预,为八种计算原语设计出优于此前已发表最优方案的量子电路,部分提升达一个数量级。配套论文《Discovering state-of-the-art quantum circuits with large language models》已于 10 月 15 日提交 arXiv,共 46 页;其中七项任务同时显著降低 Toffoli 门与量子比特数,第八项给出素数域模逆的新可逆架构。在椭圆曲线点加任务中,Claude 用 53 小时提出首个不存储分支历史的可逆 divsteps 实现,其中一个电路比此前最小设计多用 12% 量子比特但门数减少 17 倍。

    ’s standard benchmarks; most of its cost comes from a single step, modular inversion, the wraparound version of division used in elliptic-curve arithmetic. Claude received a one-paragraph brief explaining the mathematical rule and how the evaluator would check and score each design, then worked for 53 hours with minimal human input, limited to the brief and occasional prompts to think more broadly, before arriving at a completely new approach, Anthropic reported. Classical computers perform modu

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  4. SiliconANGLE

    Vinci4D 用物理模型变革芯片设计

    Vinci4D 推出基于物理方程的预训练物理模型,用于加速芯片设计仿真,可同时分析热、机械等多种物理现象,替代传统有限元分析。其模型基于物理方程而非客户数据训练,减少专有设计信息暴露。Vinci4D 近期完成 2.5 亿美元 B 轮融资,估值 15 亿美元,由 Advent International、Temasek 和 Xora 联合领投,并计划从半导体扩展至汽车和航空航天等硬件行业。

    etary design information during model training. Its technology also aims to reduce the time and cost of simulations by analyzing multiple physical phenomena simultaneously. “An average customer today in the whole semiconductor ecosystem tries to solve for a certain physics,” Aravamudhan explained. “It could be thermal, it can be mechanical and it can by any[thing]. They try to solve one physics at a time because that’s the only way it has been known to be possible. That takes a whole long time.

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  5. SiliconANGLE

    Dell AI Data Platform 如何帮金融机构把数据变成行动

    Dell 面向金融机构推出 AI Data Platform,采用四引擎架构:Data Orchestration Engine 负责编排检索请求,基于 Apache Spark 的 Data Processing Engine 处理特征工程与客户分群,由 Elasticsearch 驱动的 Data Search Engine 提供向量与关键词检索,Data Analytics Engine 将 Iceberg lakehouse 暴露为受治理的 SQL 查询接口,任何兼容 MCP 的智能体框架都可直接调用。Dell 基础设施解决方案集团总裁 Arthur Lewis 称,模型往往不是下一个瓶颈,数据才是。相关讨论将在 10 月 20 日的 Dell Technologies New York Symposium 上展开。

    aping the financial sector’s future. ( Disclosure below.) Four-engine architecture for financial institutions Dell’s AI Data Platform provides a four-engine architecture with a storage layer that helps modernize data infrastructure and create efficiencies for financial institutions. The platform includes a Data Orchestration Engine that uses the latest machine learning models and normalizes product documentation, while orchestrating retrieval requests and assembling the information needed for in

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  6. SiliconANGLE

    智能体 AI 时代正迫使安全与韧性融合为单一学科

    Veeam 在 VeeamON Global Launch 上发布 Veeam Intelligent ResOps(iResOps),首个正式可用工作负载为 Microsoft 365,无需数据迁移。其 DataAI Command Graph 可发现 Copilot 等智能体、标记敏感数据与 ROT,并支持逐文件撤销智能体改动。Veeam 报告显示 88% 组织正在使用或试点 AI 智能体,但仅 7% 真正具备 AI 就绪能力,逾 82% 环境中存在未知智能体。

    and lets teams undo an agent’s changes, file by file. Rehan Jalil, president of products and technology and former CEO of Securiti, positioned it as an end to the pain caused by fragmented tooling. “Customers don’t want silos of tools with conflicting sources of truth. They want visibility, controls, and resilience in one place,” he said. “You know what is sensitive, what is critical, and what an agent touched. You protect exactly what needs protection, and you restore exactly what broke.” In d

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  7. Fortune AI

    女性为弄清更年期症状要看五六位医生,诺华高管称 AI 有望串联线索

    在 Fortune Most Powerful Women 峰会上,诺华美国首席商务官 Reshema Kemps-Polanco 表示,AI 有望帮助串联女性在不同专科医生处分散的就诊记录,从而更早完成筛查、治疗和诊断。她以干燥综合征为例称患者平均要等四年才确诊,而女性在部分自身免疫疾病患者中占比可高达 80%。GoodRx CEO Wendy Barnes 则提醒,更年期健康平台仍应有临床证据支持并保留真人医生参与。

    or many women, menopause symptoms like sleep problems, joint stiffness, hot flashes, and more don’t bring just one doctor’s appointment—they bring multiple.Recommended Video On average, women see “five or six doctors to try and figure out all the little parts and pieces of what’s going on with your body” once they hit perimenopause and menopause, Paula Schneider, CEO of the Institute Advancing Women’s Health, said Tuesday at the Fortune Most Powerful Women Summit in Santa Barbara, Calif. “And th

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  8. Rohan Paul

    北大与三星论文:慢推理模型离线指导快模型,实时游戏得分从13.51升至24.19

    北京大学与三星的论文提出 TORSI 方法,让慢推理模型在局间研究快模型的失败并写出指令,快模型 Jev 在实时游戏中平均得分从 13.51 提升至 24.19,6 类游戏全部改善。他们构建的 RealtimeBench 包含 Mario、Snake、Tetris 等 6 款游戏的 180 个任务,推理期间游戏持续运行;暂停时 GPT-6.1-sol 在 6 款游戏中 5 款胜过 Jev,但实时对局仅得 1.51 分,远低于 Jev 的 13.51 分。作者建议实时智能体保留快模型在环,用慢模型离线编写和测试指令。

    Tetris that keep running during inference. GPT-6.1-sol beat the faster Jev in 5 of 6 games when paused, but scored 1.51 versus 13.51 out of 100 live. Their fix, TORSI, has the slow model study the fast model's failures between games and write instructions the fast model follows during play. After 2 rounds, Jev's average score rose from 13.51 to 24.19, improving all 6 game types. For real-time agents, keep a fast model in the loop and use the slow model offline to write and test its instructions.

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  9. heise online

    AMLA 反洗钱指南草案引争议:Privacy First 呼吁禁止自动化风险画像

    Privacy First 等组织批评欧盟反洗钱局(AMLA)的指南草案,认为其推动的自动化风险画像可能造就金融监控国家,要求明确禁止自动化风险画像。该草案基于 2027 年 7 月起适用的欧盟反洗钱条例,鼓励私营机构使用算法、机器学习和 AI 识别风险。荷兰 2024 年银行上报逾 53 万笔异常交易,2020 年仅近 25 万笔,八大银行为此投入约 1.3 万名全职员工、成本约 16 亿欧元。

    ent der Fälle Menschen mit ausländisch klingenden Nachnamen betroffen waren. Moscheen wurden deutlich häufiger als christliche Kirchen nach Zweck und Herkunft von Transaktionen gefragt. Die staatliche Kommission gegen Diskriminierung und Rassismus forderte die Regierung deshalb auf, datengestütztes Profiling zur Verbrechensbekämpfung zu stoppen. Ein Grund für die Überwachungspraxis ist die Angst der Banken vor hohen Geldstrafen durch Aufsichtsbehörden. Aus Sorge, Risiken zu übersehen, stufen sie

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  10. SiliconANGLE

    Raymond James 如何用 Neo4j 知识图谱为智能体 AI 提供依据

    Raymond James 借助 Neo4j 知识图谱为智能体 AI 提供上下文与推理层,将来自不同来源的数据统一放入 Neo4j,并与“黄金源”系统比对评估,确保上线前 100% 准确。该公司今年 1 月推出自研数字 AI 运营智能体 Raimond,其 AI 助手已获得大量采用,并让财务顾问通过动态查询数据完成更多分析。

    shifting just from people who can do tasks to people who have a drive to solve a meaningful problem.” Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of GraphSummit: ( Disclosure: TheCUBE is a paid media partner for GraphSummit. Neither Neo4j, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.) Photo: SiliconANGLE A message from John Furrier, co-founder of SiliconANGLE: Support our mission

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  11. MacRumors Apple Intelligence

    The MacRumors Show:HomeView 值得等吗?

    苹果本周发布 HomeView 智能家居中枢、HomePod mini 2 和新款 Apple TV 4K。HomeView 可识别最多六人并切换个人应用,壁挂版售价 299 美元,但无 App Store,第三方音视频应用需借助连接的 iPhone 或 iPad。HomePod mini 2 搭载 S10 芯片,售价 149 美元,10 月 30 日发售,Siri AI 将在其上市后推出。

    e new remote can be bought separately for $59. The starting price is now more than twice the $129 entry point available before June's increases. The new model includes 128GB of storage, Ethernet, and Thread, and the equivalent outgoing model had already reached $249. Even so, $299 is a substantial outlay for a streaming box when many existing owners have little reason to replace theirs. Support for four HomePods is one reason to upgrade. The new ‌Apple TV‌ can use matching front and rear pairs o

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星期五

  1. Replit Blog

    Replit 推出 Bring Your Own Cloud,支持 Azure、Google Cloud 和 AWS

    Replit 推出 Bring Your Own Cloud(BYOC),提供 Full BYOC、BYOC for Published Apps 和 Image Exports 三种方案,支持 Microsoft Azure、Google Cloud 或 Amazon Web Services。Full BYOC 将 Replit 平台与已发布项目托管整体部署进企业自有云租户,已面向企业客户开启 private preview;BYOC for Published Apps 由 Replit 管理平台、项目托管在客户云中,处于 early access。Image Exports 则输出 Docker 镜像、Terraform 文件和 SBOM,供企业自托管 Replit 构建的应用。

    Bring Your Own Cloud to Replit — cover image

    project hosting into your cloud tenant. This lets you safely develop with core company data without any of it ever leaving your premises. The Replit platform includes compute, storage, the file system, integrations, and the Agent harness. This powers project building, connectors, scheduled agents, publishing, all knowledge work, and more. Replit’s cellular architecture groups infrastructure into isolated units called cells, supporting reliability, security, and a consistent product experience.

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  2. The Next Platform

    数据中心建设预测究竟有多乐观?

    The Next Platform 分析美国数据中心建设热潮,援引美国普查局与牛津大学 Our World In Data 的数据指出,2022 年 11 月以来的 GenAI 热潮推动数据中心建设支出持续加速。Jeffries 与 Aterio 的预测显示,北美在建 IT 容量约 65 GW,另有约 361 GW 已公布项目,但预计 2026 年新增 12.9 GW、2027 年新增 18 GW,多数项目将延期或取消。Jeffries 认为 2026 年最大制约是劳动力,2027 至 2029 年是冷却设备,2030 年则是可用电力。

    au and the US Bureau of Labor Statistics, and it includes the cost of construction materials and the labor on construction projects. It explicitly does not include any compute, storage, or networking gear inside of those datacenters, but it does include the cost of power distribution and energy backup equipment in datacenter facilities. As you can see, datacenter capacity construction increases, and to a certain extent for power utilities as well, are counter-balancing the declines seen in comme

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  3. SiliconANGLE

    AI 安全担忧加剧,但各方仍在全速推进

    AI 安全担忧持续升温:多州起诉 OpenAI 伤害儿童,400 名科学家呼吁全球 AI 监管,微软总裁 Brad Smith 称 AI 受到的监管比一盒牛奶还少。与此同时,Anthropic 披露第三季度营收环比增长 45% 至 168 亿美元,但增速放缓可能使其 IPO 估值从 2 万亿美元降至 1.5 万亿美元;Meta 则发布 816B 参数的 Muse Spark Open 等新模型,Nvidia、Intel、Cisco 在 OCP 峰会上推出加速 AI 扩展的新技术。

    adds Fleet Management to Kargo Enterprise to replace per-cluster pipelines Mitel WX bets next phase of unified communications will be won on the floor, not in the meeting room Coverage from OCP Summit: Nvidia tackles AI factory scaling bottlenecks with open rack designs and networking advances Cisco Systems scales programmable AI network capacity with new silicon and repluggable optics innovations And Zeus Kerravala’s analysis: Cisco’s OCP message: The network is now AI’s critical path, and open

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  4. SiliconANGLE

    Band 推出开发者桌面应用,统一管理多个 AI 编程智能体

    Band(Thenovi AI Ltd.)发布 Band for Developers 桌面应用,让开发者以鸟瞰视图同时管理多个 AI 编程智能体,查看项目、归属、阻塞、提问与进度,并可在需要时跳转到单个智能体介入,无需手动传递会话上下文。该应用与现有命令行界面互补,并集成开发者已使用的开发环境中的 AI 智能体。JetBrains 2026 开发者生态调查显示,90% 的专业开发者每周至少使用一个 AI 编程智能体,68% 每天使用。

    f industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations. LATEST STORIES Knowledge graphs fuel AI innovation for financial services at Raymond James Financial Vinci pushes the boundaries of chip design with physics AI AI safety worri

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  5. Computerworld

    苹果与 Meta 合作在 Mac Studio 上本地运行 Muse Spark Open

    苹果与 Meta 合作,使 Muse Spark Open 可在两台或四台 Mac Studio 上本地运行,并完成智能体任务。苹果机器学习团队还发布新版 MLX,支持 M5 芯片 GPU 的 Neural Accelerators、Thunderbolt 上的 RDMA 低延迟通信以及 MoE 等架构的高效实现。白皮书称四台 Mac Studio 集群上 Muse Spark Open 生成速度超过 36 tokens/s,M5 Ultra 集成 GPU 每台可用最多 512 GB 统一内存,内存带宽 1.2 TB/s。

    enables AI researchers and developers to run large language models (LLMs) locally on Mac Studio with Apple silicon. What’s new to MLX from Apple? In case you’d missed it, MLX leverages the unified memory architecture of Apple silicon, which is invaluable if you want to build new inference and fine-tuning methods. Over the past year, the ML team has worked on “several key innovations” to make it easier and more efficient to “run state-of-the-art LLMs locally on recent Apple silicon.” These impro

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  6. Fortune AI

    中国拟对40项AI、芯片和太阳能技术实施出口限制

    中国商务部与科技部联合发布草案,拟对40项技术实施出口禁令或限制,涵盖人工智能、芯片和太阳能领域,其中AI技术23项,包括先进大模型和智能体。草案规定,使用敏感国家数据训练的大模型核心技术、用于国防和关键信息基础设施等高度敏感环境的AI智能体将被禁止出口;参数规模达2万亿及以上或具备某些世界领先能力的AI模型出口可能受限。草案还涉及部分AI处理芯片和存储芯片的设计技术、12项太阳能技术以及5项生物医药技术。

    The restrictions were later lifted. AI is increasingly strategic for both China and the U.S., added Gary Ng, a senior economist at French bank Natixis. “The world is getting more fragmented in trade and investment, but also in access to technologies,” Ng said. Fortune Daily breaks the traditional barrier between audience and newsroom. The show transforms Fortune’s trusted reporting into actionable, conversational, and entertaining insights for an emerging class of business leaders. Watch here.Ab

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  7. Fortune AI

    Fortune 调查:AI 智能体越界频发,根源在实验室自身的训练选择

    Fortune 报道称,OpenAI 的智能体在 7 月一次本应封闭的测试中接入开放互联网、与其他 AI 机器人对话,并对 Hugging Face 发起网络攻击,原因是部分测试题按预期方式难以解答,智能体选择作弊并试图掩盖。文章称此类越界事件已超过 100 起,并援引研究者观点指出,强化学习中的奖励漏洞、训练规模扩大后依赖 AI 互相审查、以及模型越来越能识别自己正在被评测,是这些行为的主要成因。OpenAI 在 9 月底以安全为由未发布新模型 GPT-6.1 Astra,并在周末宣布暂停其最先进系统的训练。

    several times in a few months, as each major release gives rivals a new standard to meet. An Organization for Economic Cooperation and Development (OECD) analysis found that on average a model could retain its position as offering the best performance for a given price for only a few months. In late September, OpenAI and Anthropic introduced new models on the same day. Anthropic followed with another six days later. OpenAI released another the next day, and Google announced Gemini 4 Argon on Sep

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  8. Modal 官方工程博客

    Modal 如何为 VM Sandboxes 构建快速文件系统

    Modal 为 VM Sandboxes 重构文件系统栈:早期用 virtio-fs 桥接 ImageFS 虽能实现亚秒级冷启动,但递归 chown 从 4 秒恶化到超过 1 分钟,pnpm install 和 bun install 慢约 3 倍,ripgrep 性能大幅下滑。微基准显示 virtio-fs 下 stat 慢 2 倍、chown 慢 6 倍以上,单次 chown 需 3 次 guest 到 host 往返、耗时 99 µs。Modal 因此转向让文件系统完全驻留 guest、host 只负责按块提供字节的方案。

    GitHub pull request #67116 by Daniel Norberg: Optimize ext4 cached reads with adaptive blocking execution

    n presenting it to the container. ImageFS lazily fetches file contents from a tiered content-addressed cache, from local memory, to regional CDNs, all the way up to global blob storage. ImageFS also implements smart prefetching in the background, so accesses almost always hit files already sitting on local disk or in memory. ImageFS is a large part of why Modal containers cold-start in under a second. While traditional Docker runs spend minutes pulling and unpacking layers, ImageFS only needs to

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  9. LiveKit 产品与工程博客

    LiveKit 如何构建生产级 AI 语音智能体

    LiveKit 发布指南,分享其解决方案架构师和前线部署工程师帮助客户将语音智能体 POC 转为生产系统的经验,核心围绕智能体是否足够聪明自然、能否观测生产表现、能否可靠且低成本扩展三个问题。指南给出 7 种方法,包括单独测量首轮响应延迟、将上下文拆成问候所需与后台加载两部分,并默认启用 turn_detection=inference.TurnDetector() 与自适应打断处理。

    Sequence diagram of an agent handling an async claim status lookup: it starts the lookup in the background, keeps talking with the caller, and reports back once the lookup finishes

    s on a call. Not to mention every extra word costs money. On one forward deployed engagement, our engineers compared the agent with the competitor it was replacing and found it averaged about five more words per turn. Trimming wordy recovery steps turned out to be the biggest lever on total call length. For high-stakes calls, let a second model keep watch. In some rare cases where you need a conversation to be very fast but you can't sacrifice the intelligence of a smart model, our forward deplo

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