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This looks like a big step for agents that read the web. Expand, a new AI startup, released Expand Fetch, a tool that lets AI agents read web pages without losing icons, tables and hidden data along the way. On Expand’s own private test, agents using it answered 74% of hard web questions correctly, against 55% for the next best tool. When AI agents read a website today, the page is usually converted to plain text first, and details like a ✗ next to a feature get thrown away, so the agent confide

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tes a validation bottleneck, where information is being generated faster than it can be rigorously reviewed. Today, we’re excited to announce the public release of Deep Review, an agentic AI system engineered to provide rigorous feedback and technical verification on complex documents. Initially designed for computer science academic paper analysis, the system’s capabilities have expanded to review documents across many domains, such as legal and finance. It can be used as both an iterative impr

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omy right now,” Suresh Venkatarayalu told Fortune in an interview ahead of Wednesday’s launch of Forge Cognition. The platform, built with technology from Nvidia and Dell, puts AI agents and digital twins on top of the systems that heat, cool, secure and power buildings. Honeywell’s launch announcement says the agents can “autonomously coordinate actions across existing systems.” Venkatarayalu says people will stay in the loop for now. “Maybe we will start running in this mode for probably next

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マイクロソフトはWindows 11上でAIエージェントを安全に動かすための隔離環境「Microsoft Execution Containers」（以下、MXC）の正式リリースを発表しました。 MXC is now GA on Windows 11. Define which files and networks agents can access, with policies enforced at runtime. It’s part of how Windows is building the most secure platform for agents. Learn more: https://t.co/0JVVnARvLS https://t.co/wWuYmkK0NK— Windows Developer (@windowsdev) October 7, 2026 AIエージェントの発展に伴い、OpenClawに代表されるような自律的なAIエージェントをWindowsの上で動かし、人間に代わってメールの返事やスケジュールの調整、ファイルの整理などさまざまな処理を自動的に

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Product In a world where agents can work while you sleep, how do we enable them to run on your infrastructure? When the agent lives in a chat window, the answer is straightforward: it runs on the machine you've set up for the session. But when agents investigate alerts, respond to asynchronous requests, execute scheduled Automations, and pick up issues throughout the day, the problem becomes on-demand compute. You no longer just need somewhere to run an agent. You need a compute fleet that can k

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ght-GPU system can support models with up to 1 trillion parameters. Intel is currently supplying validation samples to customers. Intel also introduced a rack design optimized for agentic AI, which involves AI systems executing complex, multistep tasks and relies heavily on central processing unit (CPU) performance. The new rack complies with the OCP's Open Rack Standard Version 3 (ORV3) and can accommodate over 46,000 CPU cores. A rack configuration based on Intel's Xeon 6+ server CPUs has a po

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组织生产力。 AI从个人提效迈向统一部署，企业数据更加安全可控 对于企业而言，AI 使用不再是分散的个人选择。账号体系的打通意味着在企业微信内，管理员可以统一配置企业的 WorkBuddy 机器人，进行账号分配、用量管理及 AI 算力采购。根据员工的组织身份，设置不同人员的访问权限，并限制 AI 访问高敏感信息，更清晰地界定数据流转路径与责任边界，使信息更加安全可控。 在提供一整套AI办公解决方案同时，腾讯也为企业提供了更开放的AI生态和平台能力。企业微信与 WorkBuddy 支持多模型、多 Agent 的开放选择，企业可按岗位和业务场景组合 AI 能力。此外，基于WorkBuddy企业版办公套件，企业客户还可以一键打通腾讯文档、腾讯乐享、腾讯网盘、安全与效能运营平台、腾讯 AI 设计智能体 Ardot 等协同办公套件帐号，实现办公记忆和数据共享、一个Agent底座实现体验及管理后台同步。 目前，新版本互通能力面向企业微信已认证企业开放，并提供限免体验名额，企业可领取、申请开通或统一采购。欧莱雅、麦当劳、比亚迪等企业正探索落地“企业微信 + WorkBuddy”方案。 雷峰网 雷峰网

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s leads a four-product launch alongside Workspaces, Checks, and expanded Libraries protections, extending Chainguard’s reach beyond hardened container images and dependencies into agent execution environments and CI verification. Mythos access without Glasswing Anthropic has restricted Claude Mythos 5.1 access to organizations participating in Project Glasswing , which puts Chainguard in the position of running Mythos-powered vulnerability research for customers who couldn’t otherwise touch the

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UPDATED 01:00 EDT / OCTOBER 14 2026 Chainguard puts Claude Mythos on flaw hunting, secures coding agents and widens Libraries by Duncan Riley Secure software supply chain solution provider Chainguard Inc. today unveiled a vulnerability-hunting service that uses frontier artificial intelligence models such as Anthropic PBC’s Claude Mythos 5.1, as well as two products for securing AI coding agents and an expansion of Chainguard Libraries. All four arrived at the company’s Assemble London conferenc

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n 对应一个预学习的 256 维向量，查询时只需对 token 向量求平均并归一化，完全不做 transformer 前向传播 · 代价是明确的：向量平均丢失了 token 顺序信息，也无法捕捉深层上下文语义。 4. 混合评分：为了弥补静态嵌入的弱点，最终得分 = 75% 语义 + 25% BM25（各自归一化到 0–1 后加权），并且大小写敏感的精确标识符匹配排在最前。也就是用词法信号去校正语义信号的方向性错误。嵌入向量由"文件路径 + 段落文本"共同构成；路径本身携带语义信息（如 billing/ 目录），这是个聪明的小技巧。 基准评测 · SWE-bench Verified（GPT-6，50 任务 × 2 次）：管道模式下的 sgrep 比 ripgrep 节省 21.3% 的 LLM API 开销，解题数 70/100 vs 68/100。即：更少的检索轮次、更省钱的上下文，达到了略好的效果；这是面向 agent 经济性的核心卖点。 · 检索质量：在 RepoQA（完整函数检索）上 sgrep 领先；但在 CoSQA（代码片段检索）上 CK 的语义模式更强。作者对此毫不讳言。

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t per Task by provider are now live on Artificial Analysis: Cost per Task for GLM-5.3 (max) varies 9x across providers, driven by a combination of cache hit rate and token pricing Agentic workloads resend the full conversation history every turn, so most input tokens are cacheable, and cache pricing and cache hit rates drive most of the gap in Cost per Task. We already use measured cache hit rates to calculate Cost per Task, and are now publishing them for each model endpoint we track. What's ne

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p is a much-improved device, and it has a number of architectural changes that are designed to allow GenAI inference to run not only faster, but to scale up further so that larger agentic workloads, that consist of dozens to hundreds of models – implicitly through a mixture of experts foundation model, actually physically distinct independent models, or a mix of the two – working in concert and needing to share the same network and memory space to work efficiently and with low latency. Microsoft

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pdates; Gemini; Gemini app As part of today’s Gemini 4 Argon rollout, Google is making a big update to the Gemini app for macOS by integrating Antigravity. Antigravity is Google’s agent-first development platform, with version 2.0 introduced at I/O 2026. It was previously a standalone app for Mac, Windows, Linux, and most recently Googlebook (Android). Since May, Google has been updating Antigravity at a rapid pace, with major updates coming on a weekly basis, or even every few days. Google is n

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13 日消息，《晚点 LatePost》今日报道称，阿里旗下 AI 办公产品“千问办公”正在开发一个面向多平台商家的电商版本，计划于双十一预售前夕发布。 该项目于今年 6 月开始筹备，9 月进入集中开发阶段，由千问办公 CEO 陈宇森统筹，黄丕培（花名灵培）负责，目前参与员工接近百人。 消息人士称，阿里电商团队提供行业技能和商家洞察，千问办公团队提供通用 Agent 能力并负责产品协同。千问办公电商版并非独立 App，用户从网页端或客户端进入后，可从通用版本切换至“电商经营”版本。它是一个拥有独立界面和产品逻辑的 Agent，也是千问办公测试的第一个行业版本。 电商版首页目前设有双十一专区、经营分析、商品管理、素材生产和营销推广 5 个板块，当前形态更接近跨平台的分析和生产工作台，尚不能直接替商家调整投流计划或花钱投放，也不是可以接管店铺的全自动 Agent。 据《晚点 LatePost》报道，千问办公现有付费用户中约 20% 来自电商行业，是目前数量最多、使用 AI 也最深的一类行业用户。电商版延续了多平台思路：商家可直接上传商品、服装和模特素材；经营看板汇总多个平台和店铺的数据，

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According to our sources, Alibaba has launched Qwen Go, a Qwen-powered agent designed for search, comparison, and customer-service negotiation. Demo videos show the agent securing a $10 compensation for a delayed flight and recovering roughly $7 through Taobao price protection. Rather than just answering questions, Qwen Go can check orders, contact human support, and verify discounts. By integrating with Taobao and Alipay, it links personal AI assistance directly to shopping and payment systems.

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, said in the briefing, and users lose the Jev-driven interface and some context along the way. Workday’s May partnership with Google Cloud already covers A2UI , Google’s spec for agents to describe interfaces that host apps then render. MCP Apps , a Model Context Protocol extension, brings interactive UI into Claude and ChatGPT. Neither shows up in Workday’s announcements this week, so for now, it seems, employees who reach Sana through Claude get the conversation without the date picker. The p

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vidia. Microsoft on Monday unveiled the Maia 300, its third-generation AI chip. According to Microsoft, the new chip will be optimized to handle the latest reasoning AI models and agents, which should result in lower operating costs. “We expect Maia 300 to deliver 40% more tokens per megawatt compared to leading GPU-based systems,” said Scott Guthrie, Microsoft’s executive vice president for cloud and AI, in a blog post. The chip’s predecessor, the Maia 200, was launched in January and now suppo

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o work. Today at its Workday Rising conference, it unveiled that front door, turning Sana into Workday’s default home screen that, it said, “brings tasks, decisions, meetings, and agent activity into one place, helping employees move directly from what needs attention to getting it done.” The new interface goes beyond merely answering questions to orchestrating Workday’s agents to execute tasks. Each employee’s experience is tailored to their role; when they open the application, they see the ta

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October 13, 2026 Ollama Cloud now works inside full Linux computers designed for agents using Fly.io Sprites. A Sprite is a sandbox from Fly.io. Each one is a full Linux virtual machine with its own disk that stays around between sessions. Claude Code, Codex and Gemini CLI are supported out of the box and will let agents run in a sandbox to securely run commands. With the new Ollama Connector, your Sprites can use Ollama’s cloud models like kimi-k3, glm-5.3 and deepseek-v4.1-flash. How it works

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threats; Continuous monitoring: As the model reasons and writes its response across multiple steps, we combine these signals and take action when necessary such as cutting off the agent mid-stream if the responses become problematic Combining real-time protection, faster fixes for new jailbreaks and enhanced monitoring for recurring misuse has made our systems better at preventing real-world harm. For instance, external bio jailbreak red teaming could only unlock less than 1% of bio sub-tasks we

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