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puting our monitorability metric, g-mean2, along with a scaffold that simulates running evaluations. The scaffold is a high-level orchestration layer that loads dataset and prompt metadata, samples and grades rows using mocked model and monitor outputs, computes intervention, process, and outcome metrics, and writes samples and summaries to disk. We will not be supporting this scaffold because it is only meant to be an illustration of how to run our evaluations rather than a full evaluation fram

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ning and inference engines Architecture The Awex weight exchange framework consists primarily of three components: WeightWriter: Runs within each training process, responsible for metadata collection and reporting of weight shards for the current training process, weight convert, resharding transfer plan construction, weight transmission, and other functions; WeightReader: Runs on the control process of each inference instance, which starts a WorkerWeightsReader on each GPU managed by the infere

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enyi Zhuang, Jinjie Gu; Don’t Just Fine-tune the Agent, Tune the Environment arxiv, 2025. paper Siyuan Lu, Zechuan Wang, Hongxuan Zhang, Qintong Wu, Leilei Gan, Chenyi Zhuang, etc Meta Learning Profile-Aware Maneuvering: A Dynamic Multi-Agent System for Robust GAIA Problem Solving by AWorld. arxiv, 2025. paper, code Zhitian Xie, Qintong Wu, Chengyue Yu, Chenyi Zhuang, Jinjie Gu; Recon-Act: A Self-Evolving Multi-Agent Browser-Use System via Web Reconnaissance, Tool Generation, and Task Execution.

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such as scheduling, splitting bills, gifting, and sharing content. “Now, we will use AI technology to build the next 10 years of connections,” she said. Kanana Space is similar to Meta's AI agent, Muse. Swiping the KakaoTalk screen with two fingers brings up Ryan, Kakao's AI character. Users can ask Ryan to send messages, manage schedules, search the web, make reservations, and process payments. They can also engage in everyday conversations with the assistant. Kakao plans to develop Kanana Spac

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rkflows for your genomic studies Sequencing analysis often requires many connected decisions and datasets before a biological result can be interpreted. Files must be matched with metadata, quality must be assessed, the correct biological replicate must be identified, and an appropriate statistical design must be selected. Rosalind NGS Workbench helps connect those steps in one reviewable process. From sequencing data to a research decision From FASTQ inputs to quality control, bulk RNA-seq, or

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《科创板日报》10月10日讯 Meta Muse掀起的Agent热潮尚未褪去，不到一个月，谷歌便携全新Gemini Agent框架登场，推动智能体赛道竞争再度升级。 当地时间10月8日，谷歌在Gemini at Work 2026大会上正式推出Gemini agent。其定位企业级产品，可独立完成多类知识工作：解答业务问题、处理文档知识、生成图像媒体、编写并运行代码。 这些能力对智能体而言已不足为奇，真正吸引眼球的，是谷歌首次提出的“Coworker Agent（同事智能体）”概念。 谷歌表示，Gemini agent既可以作为个人私人助理，也能够作为团队成员，充当项目经理、财务分析师等组织内特定岗位角色，代表团队与组织执行工作。其可以拥有独立企业身份，配备专属邮箱、日历与企业账号，成为一名“AI同事”。 作为同事智能体，Gemini agent不仅拥有更完整的记忆机制，还支持在谷歌自有模型以及Anthropic Claude等第三方模型中进行选择。谷歌云首席执行官托马斯・库里安（Thomas Kurian）强调：“基于内置成本管控能力，它会根据任务自动匹配最优模型。” 更值得玩味的，

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lumn names are intelligently extracted from header rows; Extra data: Data in your spreadsheet that doesn't explicitly belong in a structured data table (notes, titles, etc.); Cell metadata: 40+ features per cell including formatting (font bold , background color rgb ), position (row number , coordinate ), data types (is date like , is percentage ), and layout (is merged cell , horizontal alignment ); Sheet context: Optional LLM-generated titles and descriptions for each worksheet and extracted t

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is the first frontier AI provider to release an agent that connects to enterprise workflows, illustrating how the cloud provider is differentiating itself in the AI race. Related:Meta joins enterprise agent race with Muse Wonder, facing a trust gap Digital workspace “This is a play on digital workspace,” said Mark Beccue, an analyst at Omdia, a division of Informa TechTarget. “It’s an everyday use of a personal assistant in your everyday work.” While Google is the first frontier AI developer wi

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on’ Mahmoud Ramin , a research director at Info-Tech Research Group, noted that Google’s announcement does not create a whole new category, since OpenAI, Anthropic, Microsoft, and Meta have already positioned multiagent capabilities in their platforms. What is interesting with Gemini, though, is that not only can it operate directly in multiple Google products like Gmail, Drive, Sheets, and Slides, it also connects to external systems. It is, of course, a good fit for those already using the Goo

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队中的项目经理），或者代表组织中的特定角色工作（例如财务部门的分析师）。” 最新的Gemini可通过多种设备访问，包括网页、移动设备、Windows和Mac，Google Workspace、Microsoft 365等，还可以集成到第三方应用程序和界面中，并以无头代理的形式运行，这意味着它不需要专用的用户界面。 谷歌表示，这款新智能体的设计目标是让它更像一名同事，而不是聊天机器人。它拥有独立的企业身份，并能够围绕一个目标持续工作数天。 相比之下，谷歌此前推出的智能体在很多情况下主要是响应用户指令，或在单一应用中执行预设任务。 谷歌云首席执行官Thomas Kurian在文章中表示：“它会为任务选择最合适的模型，具备内置的成本控制机制，更重要的是，它拥有企业所需的安全、管理和治理能力。” 当下，谷歌正与微软、OpenAI、Anthropic以及亚马逊展开激烈竞争，希望通过高利润的企业合同将这些投资转化为收入。 纽约联储报告：若无特朗普关税，许多日常商品价格本应下降 收起; 特朗普8月证券交易流水出炉：大手笔押中Meta智能体行情 收起; 达利欧警告：美债收益率高企 美股缓冲空间正在缩小

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those that can take ownership of assigned tasks, generate code, schedule meetings, book appointments and travel, and more. It also follows the rise of consumer-facing agents like Meta’s Muse and those that operate over messaging, like Instinct and others, as well as the recent debut of ChatGPT’s Dots. The company still has a good shot at achieving scale for its agentic efforts: as Google CEO Sundar Pichai pointed out at the event’s start, Gemini today has over 1 billion monthly active users. He

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ed. A trusted publisher gets no blanket exemption; a first-party repository can still be stopped. The scanner looks for concrete behaviors: opening a reverse shell, reaching cloud-metadata endpoints or stealing credentials. Studio invokes the gate from its inference, training and export workers. The scan is not a sandbox. Once approved, remote model code runs unconfined as the Studio user. The source notes static patterns can be evaded. The gate already fires on popular models. deepseek-ai/deeps

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till works for video, data, and other USB-C connectivity like you’d expect. Microsoft is calling it Magnetic Connect, and I’m surprised the company hasn’t shortened that to Mag-C. Meta’s new AI agent will be getting a native app on Windows, Windows and Surface chief Pavan Davuluri announced at today’s event. No timeline on when, though. Meta launched a Mac Muse app in September . We’re in San Francisco today to hear what’s next for Windows and Surface. Microsoft CEO Satya Nadella, Nvidia CEO Jen

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ano Banana, and Lyria models, according to Google spokesperson Nia Carter (via The Verge ). Alongside Playground, Google and Unity announced Unity Spark , an AI tool aimed at professional development with access to the Unity Asset Store. Unity CEO Matt Bromberg says Spark targets gamers and artists who have creative ideas but lacked the technical skills to build them. The closed beta is set to launch sometime in 2026. The announcement follows similar AI game-building tools from Meta and Roblox .

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I, Nvidia, and Kakao also support SynthID, and OpenAI maintains its own site for checking content. Apple is said to be adding support soon, too. Google has baked SynthID verification into the Gemini app and Google Chrome. The company said people currently make 1 million requests to verify content every day. Microsoft and Meta have their own standards for watermarking and verifying content. However, these tools are not infallible, often failing to identify content created by their makers’ models.

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AI agent will work even if a user’s friends haven’t joined Instinct, the company said. With the launch, Instinct moves ahead in its battle with top competitors in the space, like Meta’s Muse. The latter doesn’t yet offer the group chat functionality, though Meta’s older app, Meta AI, can be added to group chats on WhatsApp, Messenger, Instagram, and Facebook. Instinct in group chats Starting today, early access users can add Instinct to group chats. A new Instinct joins and works for the whole

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from an initial test group of advertisers. The ads will also be clearly labeled and won’t influence the answers ChatGPT provides, the company notes. The move follows the launch of Meta’s Muse, an agentic AI app which is free to everyone and a growing competitor for leading AI chatbots, like ChatGPT. OpenAI introduced ads earlier this year to support its free and low-cost subscription tiers, and expanded them to India in August. Now, the plan is to woo online advertisers who want to appeal to the

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half is that 30B-class open models got good enough for agent work. Footprints are weight-only estimates; KV cache and runtime overhead come on top. Muse Glimmer is the main model. Meta distilled it from Muse Spark, the model family behind the Meta AI assistant. It targets local agents: reliable tool calls, long multi-step tasks, and recovery from failures. Meta reports 51.2 on SWE-Bench Pro and 75.5 on MCP Atlas. Context runs to 131K tokens. It is also available as an NVIDIA NIM. Full BF16 Glimm

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omputations. Rowwise expert parallelism places routed data directly into expert input buffers, minimizing the extra work needed to rearrange it. GPU-resident routing keeps routing metadata on the GPUs, so the CPU can queue work without waiting for that information to be copied back. And grouped GEMM combines many small expert computations so GPUs can execute them more efficiently. Finally, Olmo-core 3 supports MXFP8 , a lower-precision number format that represents some values with fewer bits. T

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omputations. Rowwise expert parallelism places routed data directly into expert input buffers, minimizing the extra work needed to rearrange it. GPU-resident routing keeps routing metadata on the GPUs, so the CPU can queue work without waiting for that information to be copied back. And grouped GEMM combines many small expert computations so GPUs can execute them more efficiently. Finally, Olmo-core 3 supports MXFP8 , a lower-precision number format that represents some values with fewer bits. T

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