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星期一

  1. The Rundown AI

    OpenAI 安全报告负责人 David Robinson 离职,称公司文化“broken”

    在 OpenAI 工作 3.5 年的安全负责人 David Robinson 离职,并在 The Atlantic 撰文称公司文化“broken”,认为 AI 安全风险已到“试错期结束”的时候。他此前负责 12 次前沿模型发布的安全报告,并起草了公司现行的 Preparedness Framework,主张实验室应像核电站和机场一样设置多层冗余。他的离职紧随 OpenAI 解雇 Jasmine Wang、Tomek Korbak 和 Mikita Balesni 之后,后者被指将敏感信息传给外部安全组织。

    ather forecast” for Claude's memory and a guard that pauses risky delete commands. Meta released Muse Gadgets, open-source code that lets users build DIY gadgets via hardware like Raspberry Pi or smart-home devices that plug into its Muse agent. Meta published six new papers co-written with mathematicians and its Muse Spark model that claim to solve open problems in the field. Sponsored Listing 🎓 Highlights: News, Guides & Events That's it for today! ⭐️⭐️⭐️⭐️⭐️ Nailed it; ⭐️⭐️⭐️ Average; ⭐️ Fail

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  2. MIT Tech Review

    MIT Tech Review:预测分析如何进入智能体 AI 时代

    MIT Technology Review 发布由 Insights 团队制作的报告,讨论企业 AI 的焦点已从预测模型能否超越统计预测转向如何让预测系统自主决策而不偏离业务意图。报告称深度学习与生成式 AI 驱动的智能分析支持实时训练,数据源也从数值记录扩展到非结构化交互内容。Everest Group 合伙人 Vishal Gupta 表示,企业已不满足于回顾式视角,'分析'一词正让位于 AI。

    just neat, numerical records but also messy, unstructured sources of insight-rich interactions. As a result, AI-powered analytics are moving enterprises from passive hindsight to pragmatic foresight. AI takes predictive analytics—a broad discipline that includes predictive modeling, data prep, analysis workflows, interpretation of results, and decision-making applications—to new heights. “In many ways I think the word ‘analytics’ is giving way to AI,” says Gupta. “Everything is becoming AI.” Dow

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  3. Google Blog

    Google Flights 发布 2026 假期出行趋势与订票建议

    Google Flights 基于五年聚合数据给出 2026 假期订票窗口:美国国内航班最低价出现在出发前 39 天,国际航班 89 天,感恩节 34 天,圣诞节 56 天(比去年早 5 天),春假 50 天,暑期 21 天。工作日出行比周末便宜约 14%,中转航班比直飞平均便宜 20%。

    Illustration of family traveling

    sis on the best time to book flights, based on five years of aggregated data from Google Flights. Here’s a look at how far in advance U.S. departures typically hit their lowest average prices across several common travel scenarios: Domestic flights: Lowest prices hit 39 days before departure (low price range is 22–57 days). The window is slightly wider this year compared to 2025, but the sweet spot remains 39 days out; International flights: Lowest prices hit 89 days before departure, but the av

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  4. GitHub Blog · AI & ML

    GitHub 发布 ReviewBench:面向 AI 代码审查的开放基准

    GitHub 推出 ReviewBench,一个面向 AI 代码审查的开放离线基准,现已可用。它参照 GitHub 上超过 1 亿个真实 pull request 的语言、仓库规模和规模分布构建,采用多来源 golden set 与统一评分标准,并由资深工程师独立验证。GitHub 表示,借助 ReviewBench,其对 Copilot code review(CCR)的离线评估更能预判生产实验的方向。

    vide an offline signal that reliably tracks whether changes are likely to improve the experience in production. Existing benchmarks often make tradeoffs between label quality, coverage, and how well they represent real-world code review, leaving a gap for a rigorous and reproducible evaluation methodology that brings these pieces together. We built ReviewBench , a new code review offline benchmark , to address that gap, and it is available for you to use today. It follows the language, repo size

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  5. PyTorch Blog

    PyTorch 硬件支持更新:加速器集成工作组 2026 H1 进展

    PyTorch 加速器集成工作组公布 2026 H1 进展,推出跨仓库 CI Relay(CRCR),通过 webhook 并行向注册的下游仓库派发事件,结果数秒内汇入 hud.pytorch.org/crcr。该机制采用 L1–L4 分级白名单和五层校验,下游仓库只需加入白名单和一份轻量工作流文件即可接入。工作组同时推进测试套件去硬件化重构,涉及 259 个跟踪项,并完善 PrivateUse1 后端 profiling 与 OpenReg 参考后端。

    nd specialized silicon, the Accelerator Integration Working Group establishes clear, vendor-neutral integration mechanisms that eliminate custom code patches and reduce ecosystem fragmentation. In this blog, we cover what the group achieved in H1 2026, including key infrastructure improvements, unified testing workflows, and reference backends across the entire PyTorch platform. Introduction The PyTorch hardware ecosystem keeps diversifying, with a growing range of AI compute platforms adopting

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  6. Cohere 产品与研究博客

    Cohere 发布 North 2:面向企业的全栈智能体平台

    Cohere 推出 North 2 企业级智能体平台,采用重新设计的智能体编排系统,支持多步骤自动化与可复用智能体,并新增 Skills、Libraries、Memory、Applications、Automations 和 Connectors 等能力。平台模型无关,可自托管、VPC、混合或本地部署,支持气隙环境,并已通过 SOC 2 Type 2、ISO 27001 和 ISO 42001 认证。North Admin 提供细粒度成本控制、速率限制、用户配额和组织级上限。

    North 2 juxtaposed on a purple, green, and black background

    ld every time; Applications: Prototype and ship decks, dashboards, documents, and lightweight apps from natural language; Automations: Pre-built templates for common processes, a drag-and-drop visual workflow builder, real-time performance monitoring, and integrations with the tools you already use; Connectors: Connect North to your data, with new connectors including enterprise connectors to Slack, SharePoint, OneDrive, Microsoft Outlook, Microsoft Exchange, Jira, Linear, Notion, and GitHub, pl

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  7. a16z:News

    a16z 发布第七版 Top 100 消费级 AI 应用榜单,首次加入消费支出排名

    a16z 发布第七版 Top 100 消费级 AI 应用榜单,首次基于 YipitData 数据加入美国消费者卡片支出排名。数据显示截至 8 月仅 4.5% 美国消费者付费订阅 ChatGPT、Gemini 或 Claude,但前 1% 付费者贡献了 19.5% 的消费 AI 支出,人均月付 903 美元。榜单还指出个人智能体成为新竞争焦点,Instinct 与 Meta Muse 是当前主要对手。

    oogle and 1.1% for ChatGPT on their corresponding $100/month subscriptions. By mid-summer, the winds had shifted. YipitData’s global desktop panel recorded declines in Claude’s average daily sessions in July and August, while its U.S. e-receipt panel showed gross additions slowing and churn rising. ChatGPT, meanwhile, re-accelerated with the July launch of GPT-5.6 Sol, Terra, and Luna and the debut of ChatGPT Work. This difference in users is at least partially a result of the products being poi

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  8. ElevenLabs Blog

    ElevenLabs 详解带时间戳的音频转写:词级时间戳如何工作

    ElevenLabs 介绍了其 Scribe 模型的原生词级转写能力:模型在单次 API 调用中直接输出带时间戳的结构化 token 数组,每个 token 标记为 word、spacing 或 audio_event,可识别笑声、掌声等非语音事件,无需二次强制对齐。Scribe 的词级转写最多支持 5 个声道,各声道独立转写,可用于字幕、可搜索音频档案和自动社交切片等场景。

    Audio transcription with timestamps guide. Native transcription provides word timestamps in one API call, avoiding forced-alignment drift.

    rom basic text transcription What are the advantages of getting native word-level timestamps? Standard speech to text models process speech in chunks, usually whole sentences or paragraphs. If you want word-for-word timestamping, you need to engineer another processing layer to perform what’s called forced alignment on a second pass. This adds infrastructure and latency and also has more potential failure points. For example, they can potentially drift or fail entirely when trying to process rap

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  9. ChinaTalk

    中国 AI 安全的资金困境:慈善薄弱、国家主导

    ChinaTalk 文章指出,中国 AI 安全生态的主要瓶颈不是意识形态而是资金:独立 AI 安全组织几乎拿不到钱,2016 年《慈善法》与《境外非政府组织境内活动管理法》使境外资金必须通过政府认可的渠道,慈善体系长期缺乏信任。结果是安全研究主要靠政府主导,技术安全研究仍在增长,并出现试图让安全盈利的“安全即服务”公司。

    thropists, 70% donated to education. Harvard’s China Philanthropy Project similarly finds that education dominates elite giving. This fits the logic of the Charity Law, which encourages philanthropy in politically approved areas already recognized as socially useful. Perhaps in part because of these restrictions on charitable giving, AI safety in China tends to be treated less as a philanthropic domain than as a responsibility of the state. China’s largest AI safety institutions are government o

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  10. Canary Media:Data Centers 原创报道

    Canary Media:美国电价为何持续上涨

    Canary Media 梳理美国能源可负担性危机,指出电价上涨源于电网老化、灾害频发、利率上升和变压器等设备短缺等结构性问题,并非始于特朗普任期。特朗普对伊朗的战争推高油价,汽油均价从年初约 3 美元涨至 4.36 美元,柴油 9 月底创下 6.53 美元/加仑的历史新高;今年公用事业公司已申请超 180 亿美元费率上调。其关税、取消清洁能源税收抵免及强制 7 座煤电厂延期退役等政策,还将继续推高未来能源成本。

    de, the president’s policies do impact energy bills. Let’s start with fuel prices. Trump’s war with Iran has throttled the flow of oil and gas through the Strait of Hormuz. The average price of a gallon of gasoline has jumped to $4.36 from around $3 at the start of the year. Diesel surged to an all-time high of $6.53 per gallon in late September. This has hit Hawaii particularly hard, because most of that state’s electricity comes from burning oil. “Something that a lot of folks don’t know is th

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  11. 清华大学战略与安全研究中心

    清华肖茜《外交政策》撰文:中美人工智能政府间对话应聚焦三类共同风险

    清华大学战略与安全研究中心副主任肖茜在《外交政策》撰文,分析即将重启的中美人工智能政府间对话,指出上一次官方AI对话是2024年5月拜登政府任内。她建议对话不必覆盖AI治理所有方面,可依据《国际人工智能安全报告》框架聚焦三类风险:AI技术滥用、前沿AI系统失灵与系统性风险,并先在两国政府部门间设立AI应急联络点。

    清华大学战略与安全研究中心

    quential technologies of our time. If this renewed dialogue is to succeed, then both governments need to move quickly and approach it with a clear sense of purpose. There are encouraging signs that the two countries are beginning to converge on at least one issue: the importance of AI safety and security. Leaders of frontier AI laboratories on both sides of the Pacific have recently begun speaking more openly about preparing for the age of artificial general intelligence (AGI). In his first Subs

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  12. 财联社

    券商密集接入DeepSeek与WorkBuddy后,AI靠什么拉开差距?

    近两个月券商密集入驻外部AI生态:广发证券9月2日成为首家入驻腾讯WorkBuddy的券商,首批上线12项自研Skill与9项专家能力;9月7日阿里千问开放平台上线十余款金融智能体,含国泰海通“灵犀”等4款券商智能体。券商AI的差距正转向知识底座、交付物与信源边界,底层通用模型渐成标配,上层数据资产与合规能力更难复制。

    、可留痕、可问责的业务结果。这也解释了为何券商的AI最终往往指向下单、盯盘、复盘,而非停在聊天框。 其三是信源与边界。金融行业的专业性决定了合规是创新底线,“信源可靠、输出可控”是垂类模型绕不开的两道闸门。 样本一:广发证券,把AI装进成熟App而非另起炉灶 2026年7月,广发证券发布易淘金AI原生版“AI透镜”,底座为自研“天玑智融”大模型服务平台,融合RAG检索增强生成与Agent编排技术,形成“规划—工具—记忆—进化”闭环;企业侧搭建Skill Hub平台,沉淀30类标准化智能体插件,并布局MCP开放工作台,上线账户管理、行情资讯、数据工具等110余项MCP服务。广发证券的特殊性在于,它不是把AI做成一个入口,而是做成一张网。 对客户端,把AI装进成熟App。2026年7月,广发发布易淘金AI原生版“AI透镜”,围绕“聚光、放大、透视、望远”四类能力,对应选股、盯盘、交易与问答四大高频场景。其中交易场景可识别用户模糊表达并在确认后协助完成委托,让AI从“辅助查询”走到“辅助执行”。与部分同业另建独立AI App不同,广发选择“就地升级”,数千万存量用户无需迁移。 对内员工侧,A

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  13. OpenRouter:Announcements

    OpenRouter 对比 OpenAI、Anthropic、Google 的服务端代码执行工具

    OpenRouter 发文对比 OpenAI、Anthropic、Google 及自家提供的服务端代码执行工具,说明模型在 API 请求内调用工具、由服务商在隔离容器中执行命令并回传输出。OpenRouter 的 openrouter:shell 支持 Responses 与 Messages API 上的任意模型,openrouter:bash 仅支持 Messages API,两者均为 beta,沙箱默认关闭出站网络,按每秒 0.0001 美元计费、新容器最低 30 秒。文章指出需要自定义基础镜像、GPU 或数小时长会话时,仍应自建 E2B、Modal、Daytona 等沙箱平台。

    Server-Side Code Execution Tools for AI Agents, Compared

    s Python and Bash in a sandbox Anthropic manages, on the Messages API. The documented environment is a Linux x86 64 container with Python 3.11, 5 GiB of RAM, 5 GiB of workspace storage, and one CPU. Internet access is disabled and no outbound connections are permitted, so Claude works with the preinstalled libraries and can’t install a package during a run. Three tool versions exist, and every supported model accepts all three. code execution 20250825 supports Bash commands and file operations.

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  14. Liquid AI 模型与工程博客精选

    Liquid AI 发布首个决策模型 d1,支持文本与图像

    Liquid AI 发布首个决策模型 d1,可同时接收文本和图像,一次前向传播直接返回各选项概率而不生成 token,文本决策耗时 200 到 300 毫秒。官方称在六个真实应用中 d1 在四项上追平或超过 GPT-6.1 Sol,成本比 GPT-6.1 Sol 和 Claude Opus 5.5 低 19 到 200 倍,且每项任务响应更快。d1 已在 Liquid AI API 上线,按输入 token 计费,图像按每 32×32 像素块 1.5 token 折算,同时通过 Vercel 和 OpenRouter 提供纯文本版本,视觉能力即将上线。

    ation: In Wordle, d1 reads the board directly from a screenshot. Developers don't need to write a text version of the game, and d1 still solved 12 of 12 games in 3.8 guesses on average d1 also handles purely visual tasks. In Quick, Draw!, it guesses what a player's doodle shows among 62 words, and recognizes 5.2 of 6 drawings (random guessing gets 0.6). Availability and pricing Start building today with the d1 decision model, available on the Liquid AI API as d1. Create an API key at console.liq

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  15. MarkTechPost

    GPT-6 Astra、GPT-6.1 Sol、Gemini 4 Argon 与 Claude Fable 5.1 对比:哪款前沿模型适合哪类任务

    MarkTechPost 将 30 天内发布的 GPT-6 Astra、GPT-6.1 Sol、Gemini 4 Argon 和 Claude Fable 5.1 四款前沿模型并排比较,指出基准分数重叠度高于各家发布稿的暗示,但价格、访问规则和单任务成本差异明显。Astra 与 Fable 5.1 同为每百万 token 输入 10 美元、输出 50 美元,Sol 与 Argon 标价为其五分之一,Argon 为限时价格;Artificial Analysis 数据显示 Fable 5.1 单任务成本 9.18 美元,Astra 为 4.72 美元,差距来自 token 用量而非单价。作者建议按工作负载而非榜单排名选型,多数团队默认选 GPT-6.1 Sol,Argon 目前仅面向 Fairwind 网络安全防御者开放。

    e 5.1 share the same $10 input and $50 output list price. Sol and Argon list at one-fifth of that. Argon’s price is introductory and doubles later. Sources: OpenAI GPT-6.1 Sol coverage, Gemini 4 Argon coverage, GPT-6 Astra long-context pricing, Claude Fable 5.1 specs. Standard first-party list prices, short-context tier. The cached-input row matters most for agents. Agents resend system prompts, tool schemas and history on every step. Astra’s $1.00 cache read is 4x Fable 5.1’s and 10x Sol’s. Arg

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  16. TechCrunch AI

    Google 因 AI 提交激增暂停开源漏洞赏金计划

    Google 以自动提交数量大幅上升、其中绝大多数无效为由,自 10 月 1 日起暂停其开源软件漏洞赏金计划,并承诺在 2027 年第一季度给出更新。据 Tom's Hardware 报道,Google 工程师和开源维护者被大量无效或含模型幻觉的报告淹没,期间参与者被建议转向 Google 的其他漏洞赏金项目。

    oogle said the bug bounty program was paused as of October 1, with a promise to provide “an update” in the first quarter of 2027. According to Tom’s Hardware , Google engineers and open source maintainers were overwhelmed by reports that were invalid or contained hallucinations. “This pause is due to a significant rise in automated submissions, the vast majority of which are not valid,” the company said. In the meantime, participants are encouraged to consider Google’s other bug bounty programs.

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星期日

  1. MarkTechPost

    Aleph Alpha 发布 Kolibri:78.1B 开源英德双语 MoE 模型,每 token 仅激活 3.46B 参数

    Aleph Alpha 发布开源权重英德双语 MoE 模型 Kolibri,总参数 78.1B,每 token 仅激活 3.46B(4.4%),支持最长 1,048,576 token 上下文,并以 Apache 2.0 许可在 Hugging Face 发布。FP8 权重约 78GB,可在单张 B200、B300 或 H200,或 2 张 H100 SXM5 上通过 vLLM 部署,面向公共管理、工业和航空航天等受监管行业的自主部署。模型采用 50 层 Transformer、384 个路由专家中每 token 选 6 个加 1 个共享专家,40 层滑窗注意力配 10 层全注意力,预训练覆盖 20T token。

    y model with the same eval-framework setup. In English, Kolibri leads GPQA Diamond (84.3), AIME 2025 (96.9) and AIME 2026 (96.0). It ties Qwen3.5 35B-A3B on the English agentic average at 63.4. It trails on BFCL v4, scoring 61.4 against 70.5 for Qwen3.5. The dense Qwen3.8 27B scores higher overall (80.2 EN, 79.9 DE), but activates about 8 times more parameters per token. Against its internal predecessor Kolibri Origin, Kolibri decodes about 2.7 times more text per GPU while scoring 21.4 points h

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  2. Simon Willison

    Simon Willison:我们需要为几乎所有服务默认设置硬性预算上限

    Simon Willison 呼吁按用量付费的 API 和服务默认提供硬性预算上限,即达到每月 $X 后直接切断并返回错误,而非只发警告邮件的软上限。他认为编码智能体和各类个人智能体降低了启动付费服务的门槛,用户更愿意看到报错而不是一觉醒来收到 $10,000+ 的账单。他特别希望 AWS 提供该功能,并提到 Google Cloud 已于 7 月推出 Spend Caps。

    riction of spinning up code that can do useful things. Sometimes those things cost money—calls to paid APIs, or hosted web applications, or systems that can bill for additional storage and compute. Nobody wants to wake up to an email sent at midnight warning about a budget limit and find that, while they slept, their rogue service had consumed several hundred (or several thousand) more dollars of usage. An argument against this is that businesses don’t want their hosted applications to start thr

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  3. Wired AI

    Nvidia Shield TV Pro 因 AI 推高内存成本涨价 100 美元

    Nvidia 宣布 Shield TV Pro 即刻涨价 100 美元,新价格为 299.99 美元。Nvidia 发言人表示,包括内存在内的组件成本在全行业大幅上涨,该设备 2019 年发布时售价 199.99 美元。涨价后这款主打编解码支持和 Plex 服务器能力的电视盒子对普通流媒体用户吸引力进一步下降。

    The era of generative AI has upended technology supply chains, and there is one ironclad rule in 2026: If it has memory or storage, it’s getting more expensive. Even devices with years-old tech inside are still apparently subject to that unwritten rule. Nvidia has just announced that the Shield TV Pro is getting $100 more expensive, effective immediately. The most recent version of the Shield streaming box debuted in 2019, running Android TV with AI upscaling and hardware decoding for almost any

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星期六

  1. TechCrunch AI

    TechCrunch 盘点可活在短信里的 AI 智能体

    TechCrunch 盘点了十余款无需下载 App、直接通过短信交互的 AI 智能体,涵盖通用助理以及面向家庭、旅行、内容创作和工作的专用产品。这些智能体可记住上下文、连接已有应用并代为完成任务,例如安排日程、预订餐厅、发送邮件和网购。文中还列出各产品的上线时间、融资情况和订阅价格,如 Instinct 在 2026 年 9 月以 100 亿美元估值融资 10 亿美元,Fambot 获 350 万美元 pre-seed 融资,Town 完成 5500 万美元 A 轮。

    bits 应用和短信两种方式运作,可以整合日历、清单和对话,同时为你执行任务。这些任务包括搜索网页、购物、预订餐厅、更改预约,以及为家庭服务询价。 此外,Orbits 可以提醒家庭成员做家务、与服务提供商沟通,并帮助协调直系家庭之外的各项责任。 Orbits 获得了 Andreessen Horowitz(a16z)Speedrun 基金、N49P 和 Garage Capital 等投资方的支持。 Pally 用户可以像与朋友互动一样与 Pally 交流,同时让它访问自己已经在使用的应用。该助理可以连接分散在 WhatsApp、Gmail、日历和 Google Drive 等服务中的信息,帮助用户跟踪计划、收据、日期、文件和其他细节。 它提供免费方案,包含每月 15 分钟通话等功能;也有付费方案,包括每月 25 美元享 30 分钟通话,以及每月 100 美元享 60 分钟通话。 Poke Poke 于 2026 年 3 月推出,是一款通用助理,用户可以通过短信联系它。它可以处理涉及日历、规划、健康健身、智能家居控制、照片和其他日常活动的任务。 Poke 在 2026 年 6 月尤为引

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