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Microsoftは9月25日、Microsoft Copilotの大型アップデートを発表した。ChatとCoworkをまとめる「Home⁠」⁠、自然言語でアプリを作成する「Code⁠」⁠、継続的に業務を進めるAIエージェント「Autopilot」を軸に、対話や文書作成、アプリ開発を一つのアプリに集約し、指定した作業をAIに任せることもできる。Copilot内でWord文書、Excelブック、PowerPoint資料を作成・編集する機能も提供する。 Introducing the new Copilot with Home, Code and Autopilot - The Official Microsoft Blog 新しいCopilotアプリでは、左側に並ぶHome、Code、Autopilotを切り替え、用途に応じた画面で作業できる。 CEOのSatya Nadella氏はXの投稿で、モデルや端末、作業の種類をまたいで使える「仕事のための新しいOS」としてCopilotを構築する方針を示した。 We’re building Copilot as a new OS for wor

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y the grid, according to the company. There is also a gas-turbine power plant that is used for backup power only. Crusoe is also building a 900 megawatt data center in Abilene for Microsoft, which will be powered by on-site gas turbines. Losing its launch customer is seemingly a setback for Boom, which raised $300 million last year, largely to commercialize the new business. The idea, Scholl told TechCrunch at the time, was to use profits from the stationary power plant business to fund the deve

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AI Weekly Pro Want only the AI that hits your stack? Build an agent that tracks your companies and topics, and skips everything else. Microsoft's Surface chief has confirmed that the company's newest Windows laptops will no longer carry the 'Copilot+ PC' label the company created in 2024 to define the AI-PC category. In an interview reported by 9to5Google , Surface Corporate Vice President Brett Ostrum told Windows Central at the Snapdragon Summit that the new devices "are not called Copilot+ PC

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After teasing its new Copilot “super app” last month , Microsoft is officially unveiling it today. The redesigned Copilot app bundles three AI capabilities into a single interface of chat, coding, and agents. As part of the launch, Microsoft is also rebranding Scout, the AI personal assistant it unveiled at Build earlier this year, as Autopilot. This new Copilot app will have three tabs for Home, Code, and Autopilot, with Home combining Copilot Chat and Cowork together. It’s the default landing

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账户设置，平台账户和 LOB 账户位于同一组织中；平台账户中具有 Amazon Bedrock 模型访问权限；在平台账户（用于智能体、Gateway 和 Registry）和每个 LOB 账户（用于在 Runtime 上托管 MCP 服务器）中均配置了 AgentCore；一个兼容 OIDC 的身份提供程序（例如 Okta、Amazon Cognito 或 Microsoft Entra ID），并具有用于 OAuth 2.0 客户端凭证授予的 M2M 应用客户端。该代码仓库使用 Okta；MCP 服务器将要封装的 LOB 数据源（Amazon Bedrock Knowledge Bases、Amazon DynamoDB 表、Amazon S3 存储桶或 API 端点） 在 LOB 账户中设置 MCP 服务器 每个 LOB 团队使用 FastMCP 构建一个 MCP 服务器，并使用 AgentCore CLI 将其部署到 AgentCore Runtime，将该团队的数据以具有类型化输入和输出的结构化工具形式对外暴露。每个 LOB 团队为其服务器配置一个 customJWTAutho

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with Akamai does. AMD used a similar structure with OpenAI last year, tying warrants to chip-purchase milestones. Anthropic is no stranger to such arrangements. Amazon , Google , Microsoft, and AMD have all invested or agreed to invest in the company while selling it chips or cloud capacity. CEO Dario Amodei told The New York Times last December that Anthropic does not participate in these deals at the “same scale as some other players.” Akamai shares rose as much as 17% in after-hours trading

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th directions. NVIDIA’s Skill2Env compiled 7,971 tasks from public Agent Skills. RL on them moved Qwen3.8-27B on Terminal-Bench 2.1 from 49.4% to 54.1%. Multi-agent coordination : Microsoft Research found k agents sharing a directory match 4k independent agents on ARC-AGI-3. Stanford and Together showed a self-organizing team of o3-mini, Sonnet 4 and DeepSeek-V3 hits 66.7% , versus 59.0% for an oracle router over the members’ independent answers. Top tweets (by engagement) Anthropic: Claude disc

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t reviews newly submitted, unassigned tickets during scheduled hourly processing cycles on business days. It gathers operational context from Jira, Confluence, Amazon Athena , and Microsoft SharePoint to recommend a team assignment and resolution starting point, and it automates approved routing and communication actions. During the first 2.5 weeks of production, from June 30 through July 17, 2026, the analyzer reviewed 109 tickets and achieved approximately 96% routing accuracy. Based on the te

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responding to the massive increase in customer demand and dealing with increasing cost of capital. Of course, there is plenty of good news to mention. Its relationships with Meta, Microsoft, OpenAI, and NVIDIA—its largest customers—appear strong, and it recently struck a multi-year deal with Anthropic. It has announced splashy deals with HRT and Jane Street this summer. It is also aggressively expanding its capacity in APAC, indicating that it “expect[s] international markets to become a major d

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velopment. The sequence of steps below shows how the toolset can be prompted with what to offload, and how it creates a separate container for GPU inference and offloads the same. Microsoft has recently released the Physical AI Toolchain (opens in new tab) for operationalizing physical intelligence at scale. Physical AI Toolchain is an open-source, production-ready framework that integrates Microsoft Azure (opens in new tab) cloud services with NVIDIA’s (opens in new tab) physical AI stack, acce

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nerate and edit video, music, SFX Forge by Fireworks brings together leaders building their own frontier on open models. Hear from NVIDIA CEO Jensen Huang, Fireworks CEO Lin Qiao, Microsoft EVP Jay Parikh, and more on Nov. 3 in SF. Apply to attend . Alibaba unveiled its next AI chip delivering 3x the performance of its predecessor, alongside plans for a 5-10T-param model and 20GW of data-center capacity by 2032. British Columbia sued OpenAI and Sam Altman, alleging the company failed to alert po

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ークン当たり8ドル、出力が40ドルとなる。APIでの利用には申請が必要で、Claude Codeの定額プランでは、プラン内の利用枠とは別に使用量に応じて課金される。 提供先と有料プランの利用枠 Opus 5.5はClaudeアプリ、Claude Code、Claude Platformに加え、Amazon Web Services、Google Cloud、Microsoft Azureなどで利用できる。APIのモデルIDはclaude-opus-5-5。モデルカタログによると、コンテキストウィンドウは100万トークン。信頼できる知識のカットオフと学習データのカットオフは、いずれも2026年6月となっている。 AnthropicのCatherine Wu氏はXへの投稿で、個人向けのPro、MaxプランではOpus 5.5がClaudeアプリ（Coworkを含む）とClaude Codeのデフォルトモデルになったと説明した。ClaudeDevsの公式投稿によると、Claude Codeでは両プランの5時間当たりの使用量上限も20％引き上げられた。 組織向けのTeamプランでもOpus 5

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rsions of the world’s leading operating systems look certain to feature more support for agentic tools. To find out how things are changing, we talked with the folks at tech giant Microsoft who shared in detail their plan for Windows, and how AI will play a part. It comes after the company’s previous AI efforts led to it being dubbed “Microslop” by some users online. The Windows team’s vision is opinionated and includes building new agentic primitives, alongside reversing some decisions that hav

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ghly 535 GB to about 19 GB. The other lever is admitting that not all vectors deserve RAM. Disk-based ANN keeps the bulk of the index on SSD with only a compressed copy in memory: Microsoft’s DiskANN indexes a billion points on a single 64 GB machine plus SSD at 95+ percent recall, serving thousands of queries per second. Object-storage tiers push this further - Amazon’s S3 Vectors targets up to 90% lower cost on large vector datasets by trading latency for price. The trade is real and measurabl

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y were being finished despite all the capex spending, construction, and the skyrocketing cost of RAM. The answer to that question was, effectively, “nowhere.” The vast majority of Microsoft data center projects I could find had barely gotten started, aside from the massive OpenAI-dedicated “Fairwater” data centers that are “open” in the sense that some of the buildings are turned on, with the remainder either being actively built or with construction expected to start at some later point. A coup

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how it performs in practice. We deployed the first of our pilots last fall on grizzly bears. The team, which includes myself, my doctoral advisor Bistra Dilkina, Amrita Gupta from Microsoft’s AI for Good Lab, and Arielle Parsons and Justin Suraci from Conservation Science Partners, traveled to the South Chilcotin Mountains in British Columbia. We worked with two researchers, Robin Naidoo and Angela Brennan, who have been studying bears in the area for multiple years. Together, we tested a variat

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rk rejected, but not when users shared their grief or injuries. The pain axis appeared in every system tested, which included open systems from Google, Meta, Mistral, Alibaba, and Microsoft. Once dialed up, two Qwen models hit a “relief” button said to zap users or delete their family photos 25–71% of the time, vs. just 0–4% normally. The authors stopped short of saying AI truly feels pain, questioning whether the models may simply be playing the role of a character that’s hurting. Why it matter

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