| # | 模型 | 厂商 | 竞技分 | 胜率 | 投票数 | 上下文窗口 | 最大输出 | 输入价格 | 输出价格 | 变化 | 发布日期 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | Gemini Omni Flash | 1527±13 | - | 5.4K | - | - | - | - | NEW | - | ||||
| 1 | Claude Fable 5 | Anthropic | 1507±7 | - | - | 1M | - | $10 | $50 | NEW | - | |||
| 5 | Claude Opus 4.6 Thinking | Anthropic | 1504±4 | - | - | 1M | - | $5 | $25 | NEW | - | |||
| 2 | GPT Image 2 Medium | OpenAI | 1500±5 | - | - | - | - | - | - | NEW | - | |||
| 9 | GPT-5.6 Sol xHigh | OpenAI | 1486±9 | - | - | 1.05M | - | $5 | $30 | NEW | - | |||
| 6 | Dreamina Seedance 2.0 720p | Bytedance | 1482±10 | - | 42.0K | - | - | - | - | NEW | - | |||
| 8 | Text Embedding 3 Large | OpenAI | 1450±5 | - | - | 8K | - | - | - | NEW | - | |||
| 7 | Eleven Multilingual v2 | ElevenLabs | 1420±6 | - | 50.0K | - | - | - | - | NEW | - | |||
| 4 | Claude Fable 5 High | Anthropic | 1394±8 | 13.9% | 16.1K | 1M | - | $10 | $50 | NEW | - |
主流 API 聚合平台 + 个人中转站风险提示,支持一键导入到 Provider 配置
共 29 / 29 个平台
风险提示
使用建议
理查德·萨顿主旨演讲、凯文·凯利具身智能、3 大论坛同步直播
聚合 41 个权威信源,每 6 小时自动采集更新
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value. http://luongnv.com/claude-howto/ 🌐 Language / Ngôn ngữ / 语言 / Мова: English | Tiếng Việt | 中文 | Українська | 日本語 Master Claude Code in a Weekend Go from typing claude to orchestrating agents, hooks, skills, and MCP servers — with visual tutorials, copy-paste templates, and a guided learning path. Get Started in 15 Minutes | Find Your Level | Browse the Feature Catalog Table of Contents The Problem How Claude How To Fixes This How It Works Not Sure Where to Start? Get Started in 15 Minutes What Can You Build With This? FAQ Contributing License The Problem You installed Claude Code. You ran a few prompts. Now what? The official docs describe features — but don't show you how to combine them. You know slash commands exist, but not how to chain them with hooks, memory, and subagents into a workflow that actually saves hours. There's no clear learning path. Should you learn MCP before hooks? Skills before subagents? You end up skimming everything and mastering nothing. Examples are too basic. A "hello world" slash command doesn't help you build a production code review pipeline that uses memory, delegates to specialized agents, and runs security scans automatically. You're leaving 90% of Claude Code's power on the table — and you don't know what you don't know. How Claude How To Fixes This This isn't another feature reference. It's a structured, visual, example-driven guide that teaches you to use every Claude Code feature with real-world templates you can copy into your project today. Official Docs This Guide Format Reference documentation Visual tutorials with Mermaid diagrams Depth Feature descriptions How it works under the hood Examples
A coding-agent skill for multi-phase security audits with independently verified, machine-readable findings security-audit A coding-agent skill that turns your agent into a security auditor. It orchestrates isolated agents through reconnaissance, coverage-led hunting, candidate validation, structured output, independent record verification, and target-neutral reporting. This is the skill that seeded Cloudflare's vulnerability discovery harness, described in Build your own vulnerability harness. The harness grew into a multi-stage, fleet-wide system; this skill is the single-repo starting point it evolved from. What it does The skill runs a structured audit in six phases: Reconnaissance -- map architecture, trust boundaries, input surfaces, prior evidence, and deterministic coverage in architecture.md and coverage-ledger.json. Coverage-led hunting -- assign isolated hunters from ledger units, record their checks, and use coverage critics to find gaps. Candidate validation -- give every unique candidate to a fresh verifier that tries to disprove it. Structured output -- write confirmed, needs_validation, and rejected records to findings.json and validate them against report-schema.json. Independent record verification -- fresh agents verify final source claims. Material replacements receive another independent verifier. Target-neutral reporting -- derive REPORT.md, FINDINGS-DETAIL.md, and NEEDS-VALIDATION.md from the verified records and coverage ledger. The parent runs validate-coverage-ledger.cjs after creating the ledger and after each later ledger update. It runs validate-findings.cjs in Phase 4 and again after every Phase 5 replacement. The verdicts are distinct: confirmed has a complete source trace and bounded observed result, needs_validation has an exact unresolved fact and no severity, and rejected records a disproved candidate. Multiple runs against the same repo are additive. The skill uses prior ledgers and findi
OpenShell is the safe, private runtime for autonomous AI agents. https://docs.nvidia.com/openshell/latest/ Important New in OpenShell 0.1.x: a stable release cadence, new isolation primitives, an expanded extension surface, and new APIs. Read the 0.1.0 upgrade guide. OpenShell is the safe, private runtime for fleets of autonomous AI agents. Agents are most useful when they can read files, install packages, call APIs, and use credentials. OpenShell gives them that capability without giving them unrestricted access to your data, secrets, or network. You declare what each agent can touch in a policy, and OpenShell enforces it. How It Works OpenShell governs what agents can do in two ways: it instruments the kernel to enforce policy on every file access, system call, and network connection at runtime, and it uses formal verification to check what a policy change would allow before it is applied. Kernel-level enforcement. Each agent runs in an isolated sandbox. Kernel controls confine which files it can access and which system calls it can make, and every network connection passes through a policy check before it leaves the sandbox. Agents never see real credentials; OpenShell adds them only to requests bound for approved endpoints. Formally verified policy changes. Before a policy change is approved, OpenShell uses formal verification to flag risky new access it would grant, such as reaching a new host with credentials or calling a new API method, so those changes wait for human review. See Architecture for how the gateway, supervisor, and sandbox fit together. Quickstart You need Linux, macOS on Apple Silicon, or Windows with WSL 2 (experimental), plus Docker, Podman, or host virtualization. See the Support Matrix for details. curl -LsSf https://raw.githubusercontent.com/NVIDIA/OpenShell/main/install.sh | sh openshell sandbox create --name demo The installer sets up the CLI and a local gateway. The default sand
The design language that makes your AI harness better at design. https://impeccable.style Impeccable Design guidance for AI coding agents. 1 skill, 24 commands, live browser iteration, and 62 deterministic detector rules for AI-generated frontend design. Quick start: From your project root, run npx impeccable install, then run /impeccable init inside your AI coding tool. Full docs: impeccable.style. Why Impeccable? Anthropic's frontend-design was the first widely-used design skill for Claude. Impeccable started from there. Every model trained on the same SaaS templates. Skip the guidance and you get the same handful of tells on every project: Inter for everything, purple-to-blue gradients, cards nested in cards, gray text on colored backgrounds, the rounded-square icon tile above every heading. Impeccable adds: One setup flow. /impeccable init records durable product truth in PRODUCT.md, so later commands know the audience, purpose, operating context, constraints, voice, and evidence without confusing those facts with surface-level visual direction. 24 commands. A shared design vocabulary with your AI: polish, audit, critique, distill, animate, bolder, quieter, and more. 62 deterministic detector rules plus LLM-only critique checks. The CLI and browser extension run the deterministic rules with no LLM and no API key. What's Included The Skill: impeccable The skill installs as one command: /impeccable <command> <target> Start every new project with: /impeccable init init inspects the project, asks only for material gaps in durable product truth, and writes PRODUCT.md. Visitor mode and visual direction are chosen later for each surface; incumbent or newly built visual systems are recorded separately in DESIGN.md. 24 Commands All commands are accessed through /impeccable: Command What it does /impeccable craft Full shape-then-build flow with visual iteration
欢迎来到电子书下载宝库,一个汇聚了各类电子书下载链接的地方。无论你是喜欢阅读经典文学、经管励志、终身学习、职场创业、技术手册还是其他类型的书籍,这里都能满足你的需求。 该库涵盖了帆书app(原樊登读书)、微信读书、京东读书、喜马拉雅等读书app的大部分电子书。 电子书下载宝库 🌐 在线访问 GitHub Pages - 体验强大的实时搜索功能和多关键字搜索,快速找到你想要的电子书! 欢迎来到电子书下载宝库,一个汇聚了各类电子书下载链接的地方。无论你是喜欢阅读经典文学、经管励志、终身学习、职场创业、技术手册还是其他类型的书籍,这里都能满足你的需求。 该库涵盖了帆书app(原樊登读书)、微信读书、京东读书、喜马拉雅等读书app的大部分电子书。 简介 我们从各个电子书网站上精心收集了各种电子书下载链接,并根据常用的标签对它们进行了简单分类。每本书都包括了三种常见格式文件:epub、mobi 和 azw3,以满足不同阅读设备和喜好的需求。 🔍 如何使用 浏览我们的下载宝库非常简单: 🌐 实时快速搜索(推荐) 访问 GitHub Pages 实时在线搜索页面,体验强大的实时快速搜索和多关键词搜索功能: 🔎 实时搜索:输入书名、作者或分类关键词,即时显示匹配结果 💡 多关键词搜索:支持同时搜索多个关键词(用空格分隔) 💡 搜索技巧 在线搜索:访问 GitHub Pages 页面,使用实时搜索功能(推荐) Ctrl+F:在 GitHub 页面使用浏览器搜索功能 热门分类:文学、历史、科普、管理、社会、推理等 按需查找:职场、创业、技术、投资、心理学等专业领域 ☕ 请我们喝咖啡 🌟 如果这个项目对你有帮助,欢迎请我们喝杯咖啡!你的支持是我们持续维护和更新这个项目的动力。 感谢所有支持我们的赞助人! 查看 📋 赞助人名单 了解已赞赏的赞助人信息。 📚 索引目录 💡 使用 Ctrl+F 快速搜索关键词,或点击下方标签直接进入分类页面 🔥 热门分类 文学(2711) | - 历史(1748) | - 科普(743) | - 管理(613) | - 社会(558) | - 推理(531) | - 经典(494) | - 经济(487) 哲学(431) | - 传记(413) | - 美国(399) | - 心理(396) | - 悬疑(393) | - 商业(387) | - 励志(373) | - 金融(370) 随笔(368) | - 投资(365) | - 思维(353) | - 文化(344) | - 科幻(286) | - 中国(281) | - 成长(248) | - 漫画(227) 英国(223) | - 政治(202) | - 纪实(199) | - 艺术(191) | - 科学(177) | - 散文(168) | - 职场(155) | - 法国(147) 生活(145) | - 互联网(138) | - 营销(128) | - 女性(125) | - 二战(118) | - 奇幻(116) | - 股票(115) | - 德国(101) 战争(101) | - 学习(101) | - 绘本(100) | - 理财(96) | - 世界(92) | - 教育(88) | - 创业(86) | - 欧洲(85) 治愈(84) | - 沟通(84) | - 名著(81) | - 军事(80) | - 爱情(78) | - 人物(77) | - 医学(74) | - 物理(70) 诗歌(67) | - 国学(66) | - 健康(65) | - 科技(60) | - 写作(58) | - 人文(57) | - 旅行(55) | - 个人(55) 民国(53) | - 心理学(53) | - 自然(52) | - 当代(52) | - 杂文(51) | - 外国(48) | - 思想(47) | - 育儿(47) 人类(47) | - 计算机(47) | - 宗教(46) | - 犯罪(44) | - 人生(44) | - 美食(43) | - 古典(43) | - 编程(43) 逻辑(42) | - 诗词(42) | - 交易(42) | - 言情(40) | - 未来(40) | - 回忆录(39) | - 神话(39) | - 数学(39) 晚清(38) | - 侦探(38) | - 人工智能(38) | -
An open-source AI agent that brings the power of Gemini directly into your terminal. https://geminicli.com Note Unpaid tier and Google One users: Gemini CLI was replaced by Antigravity CLI on June 18th, 2026. To learn more, see our blog post. Gemini CLI has not been optimized for Gemini 4 Argon. To use Gemini 4 Argon, please use Antigravity. Gemini CLI Note Gemini CLI is not optimized for the latest Gemini models. For the best coding experience with Gemini models use Antigravity CLI Gemini CLI is an open-source AI agent that brings the power of Gemini directly into your terminal. It provides lightweight access to Gemini, giving you the most direct path from your prompt to our model. Learn all about Gemini CLI in our documentation. 📦 Installation See Gemini CLI installation, execution, and releases for recommended system specifications and a detailed installation guide. Quick Install Run instantly with npx # Using npx (no installation required) npx @google/gemini-cli Install globally with npm npm install -g @google/gemini-cli Install globally with Homebrew (macOS/Linux) brew install gemini-cli Install globally with MacPorts (macOS) sudo port install gemini-cli Install with Anaconda (for restricted environments) # Create and activate a new environment conda create -y -n gemini_env -c conda-forge nodejs conda activate gemini_env # Install Gemini CLI globally via npm (inside the environment) npm install -g @google/gemini-cli Release Channels See Releases for more details. Preview New preview releases will be published each week at UTC 23:59 on Tuesdays. These releases will not have been fully vetted and may contain regressions or other outstanding issues. Please help us test and install with preview tag. npm install -g @google/gemini-cli@preview Stable New stable releases will be published each week at UTC 20:00 on Tuesdays, this will be the full promotion of last week's preview
A Tiny biped duck robot 🦆 https://pollen-robotics.com/microduck Microduck A tiny biped robot that moves using reinforcement learning policies. Get yours here · Cheat sheet · Training the policies · How it works · Contributing This repo is the duck's brain. About 25 cm and 800 g of robot, run by a handful of daemons on a Rockchip RK3566: a 50 Hz control loop driving fifteen servos from neural policies, the radios and the camera, and the update machinery that gets new software onto a robot without bricking it. Everything you need to run a Microduck is here. If you want one, get yours here. The policies it runs are trained next door, in microduck_rl — MuJoCo and PPO, the sim2real recipe, and the export to ONNX that this repo loads. It does things It walks. Pick up a gamepad and drive. It rolls. Put wheels on, ask for roller mode, and it loads the other brain. It picks things up. Beak to the floor, one button. It gets back up. Knock it over and it stands itself up. It also sits, kicks a ball, rolls forward on command, and quacks in a voice that is its own. Where to find things You have a duck Cheat sheet Every robotctl command: drive, configure, voice, chorale, theremin, wifi, updates, logs. Start here. Gamepad The full button mapping, and pairing a pad — once per pad, plus what to do when it will not bond. duckctl The robot from a laptop over Bluetooth, with no network and no ssh. Updates Install, roll back, pin. Every update is verified, health-gated and reversible. You are building on it microduck_rl Where the policies come from: MuJoCo, PPO, domain randomisation, and the ONNX export this repo loads. How it works The whole system on one page — the daem
Anti-AI-slop design skill for Claude Code, Cursor, and Codex. https://www.usehallmark.com/ Hallmark A design skill for Claude Code, Codex, Cursor and OpenCode that refuses to look AI-generated. usehallmark.com · forty-eight themes · custom on request · redesign and audit by name Made by Together AI. Hallmark holds a hard floor and then gets out of the way. It deals three themes from a catalog of forty-eight materials, builds the page around what the visitor came to do, and lints the result in a real browser against the tells that read as machine-made: the eyebrow above every heading, tracked-capital labels, one coloured word in a headline, a page of empty frames or nothing but photographs, a hero that misses its screen, an email sign-up at the end of every page, a form that says thanks without sending anything. A fresh-context reviewer gets the last word. The gates come in tiers. The Floor never ships (contrast, focus, reduced motion, invented facts, a broken phone layout). Reflex gates are the defaults a model falls into; a build with a reason may overrule one on the record. Finish checks are craft detail that never blocks a ship. New in v2 Forty-eight themes. Each is a material (paper, type, colour, surfaces, its own components and texture) with a picture of a finished page, and the build lays out its own page in it. Built from the job. A booking page books, a shop sells, a newsletter subscribes: the action sits where the category puts it, and the page ends on it. Custom. Ask for a custom page and Hallmark designs from your prompt alone, under the same rules and checks. Your real product. Point it at a URL, a dev server or an app and it captures the screenshots itself. Real photographs. 755 openly licensed photos, picked per subject and credited on the page. Redesign and audit. /hallmark redesign <path> rebuilds a page and keeps its content and wiring; /hallmark audit <path> only reports. Themes
Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS Agent Toolkit for AWS Help AI coding agents build, deploy, and manage applications on AWS. The Agent Toolkit for AWS gives AI coding agents the tools, knowledge, and guardrails they need to work with AWS services. It works with the coding agents developers already use — including Claude Code, Codex, Cursor, Devin, Kiro, and fx. Quick start AWS CLI Use the Agent Toolkit directly from your terminal with the AWS CLI: aws configure agent-toolkit See the AWS CLI integration guide for setup, configuration, and usage instructions. Claude Code The plugins are available on the official Anthropic marketplace (claude-plugins-official) which is added to your Claude Code installation by default. Use the following commands to install supported plugins from the toolkit: For aws-core that covers service selection, CDK/CloudFormation, serverless, containers, storage, observability, billing, SDK usage, and deployment: /plugin install aws-core@claude-plugins-official Tip: If you get Plugin not found, update your local marketplace index first: /plugin marketplace update claude-plugins-official For aws-agents that covers building AI agents on AWS with Amazon Bedrock and AgentCore: /plugin install aws-agents@claude-plugins-official For aws-data-analytics that covers data lake, analytics, and ETL workflows with S3 Tables, AWS Glue, and Athena: /plugin install aws-data-analytics@claude-plugins-official For aws-agents-for-devsecops used to investigate incidents, review code and execute UAT for release readiness, scan code for vulnerabilities, and run penetration tests with AWS DevOps Agent and AWS Security Agent. /plugin marketplace add aws/agent-toolkit-for-aws /plugin install aws-agents-for-devsecops /reload-plugins # Or from Claude's official marketplace: /plugin install aws-agents-for-devsecops@claude-plugins-official /reload-plugins # Setup:
Consider it done. The open-source AI agent that works out of the box · 想到,就能做到。开源、开箱即用的 AI Agent。 https://cindy.app English · 简体中文 🌐 cindy.app · ⬇️ Download Cindy is an open-source AI agent that works out of the box. She brings multiple harnesses, models and tools into one agent that finishes real work in your projects and apps. Ready from day one, yours to shape over time. Cindy runs locally on your own machine, using your real files and logged-in apps. The first supported harnesses are Claude Code and Codex — more are being added, and a native harness is in the works. Models and harnesses mix freely and can switch mid-task while your workspace, memory, skills and tools stay continuous; one task can even be planned, executed in parallel, and reviewed by agents on different harness × model combos. She can drive your browser, computer and phone, and take work from IM and schedules. This repository is the open-source client for Cindy — the desktop and mobile apps plus their shared packages, organized as a pnpm monorepo. The client is free to use, and its source code is open under Apache-2.0. Bring models your way: sign in to the official Cindy service (usage deducted transparently), authorize the Claude Code / Codex Coding Plan you already pay for and keep using it inside Cindy — no duplicate bill — connect your own API keys, or use local models. See cindy.app for service details, pricing, and downloads. Linux users: see the Ubuntu, Arch Linux and Omarchy installation guide for installation, updates, keyring setup and migration from a manual install. Yours to shape Open source means more than visible — it means changeable: Memory — correct her once and she does it right from then on, shared across harnesses. Skills — teach a way of working once and reuse it everywhere; handing them to your team is in the making. Automation — recurring work schedules itself, runs itself, reports back. MCP — wire your internal tools
We’re launching Muse for Small Business, a personal AI agent that works in the background to help your small business reach its goals. The post The Future Is for Everyone: Muse for Small Business appeared first on Meta Newsroom.
Today, we announced updates to Meta Ray-Ban Display that make the glasses even more useful in your everyday life. The post New Features for Meta Ray-Ban Display appeared first on Meta Newsroom.
People and companies are using AI hardware and software to make life easier and more accessible for everyone. That’s the case with smartARM, a Toronto-based startup developing a vision-first bionic arm prototype that uses open-source software, with Meta AI glasses as an optional add-on, to explore more intuitive prosthetic control for people living with limb differences. Many traditional prosthetic hands require users to switch manually between grip patterns for different objects, making it cumbersome to move everyday items. Something as seemingly natural as picking up a glass, and then a spoon, becomes a multistep process. smartARM addressed this by developing AI hardware and software that understands the environment, and automatically selects a suitable grip for the object – so users can intuitively move between everyday tasks. smartARM’s prosthetic arm “sees” through a camera embedded in its palm. The team is using DINOv2, Meta’s open-source vision model, to help it recognize everyday objects from just a few reference photos, supporting smartARM’s grip-selection software.This allows it to grip and pick up objects based on direct visual feature reading, without needing prior understanding or additional programming. The arm can adapt almost instantly to objects trained on just a few photos – something that could take weeks previously. smartARM uses Meta AI Glasses and the Meta Wearables Device Access Toolkit to extend and improve object recognition and understanding, providing more data from the egocentric point of view the glasses offer. Meta AI glasses give the arm additional context to better understand what the user is trying to interact with. It also lets users add new objects, through the device app on their phones, giving everyone in the smartARM community a way to personalize their prosthetic around their everyday needs. For the people who wear it, the results are life altering: a bionic arm that works from the first try, with no training required. Long-t
Developer and content creator Tom Shaw breaks down three of the biggest myths about data centers. The post Debunking the Biggest Data Center Myths appeared first on Meta Newsroom.
Today at Connect, we introduced Ray-Ban Meta Audio, our first-ever audio glasses, and our biggest expansion of AI glasses. The post Introducing Ray-Ban Meta Audio and More AI Glasses Styles appeared first on Meta Newsroom.
We’re introducing Meta VR Glasses: a new era for virtual reality in a pair of glasses you can comfortably wear for hours. The post Introducing Meta VR Glasses: A Cinema, Courtside Seat, and Workspace in Just 100 Grams appeared first on Meta Newsroom.
Today we are starting Meta Enterprise Platform to help businesses use AI to grow, and Chirantan "CJ" Desai will join Meta as Chief Enterprise Platform Officer The post Launching Meta Enterprise Platform appeared first on Meta Newsroom.
Yesterday at Connect, we announced that we're bringing Muse to our AI glasses, launched Meta VR Glasses, and more. The post The Biggest News From Connect 2026 appeared first on Meta Newsroom.
Meta is introducing Muse Wonder and Muse Wonder Full, our most capable models to date, built to deliver state-of-the-art performance on personal and professional agentic tasks. The post Introducing Muse Wonder and Muse Wonder Full: Frontier Models for Agents appeared first on Meta Newsroom.
Developer and creator Tom Shaw sat down with Meta’s Head of Infrastructure, Santosh Janardhan, to talk about why we need data centers and how Meta is leading the charge to build them. The post Why Data Centers Are Such a Big Part of Meta’s AI Approach appeared first on Meta Newsroom.
In the last few months, concerns have arisen about AI safety as a growing number of incidents were publicly disclosed. These incidents exposed how powerful models have become and how they represent a significant threat if not handled well. And with the global race on innovation, the challenge will compound as models become even more... The post Securing the agentic insider appeared first on The Official Microsoft Blog.
As we enter the next era, what will be the defining measure of our progress? Every industry has a word that shapes how it thinks. For pilots, it’s safety. For insurers, it’s risk. For the semiconductor industry, it’s yield. Yield does not ask how elegant the solution is, how many years it took or what... The post The yield imperative: Turning AI infrastructure into useful intelligence appeared first on The Official Microsoft Blog.
We’re reimagining Microsoft Copilot to enable work as it evolves and to help expand what every individual and every organization can accomplish in the flow of human ambition. Today we’re introducing the new Copilot to connect the tools people rely on with the next generation of capabilities they’ll need to build, customize and scale AI... The post Introducing the new Copilot with Home, Code and Autopilot appeared first on The Official Microsoft Blog.
Azure Maia 200 now in production; Azure Maia 300 coming in 2027 As we move into the era of Super Intelligence, Microsoft is entering a new phase of infrastructure. We will scale our Azure Maia family to multi-gigawatt deployments starting in 2027, making Maia the primary inference system for Microsoft products and services. The multigenerational... The post Microsoft to expand Azure Maia system to multi-gigawatt deployments appeared first on The Official Microsoft Blog.
Satya Nadella, Chairman and CEO, and Ryan Roslansky, Executive Vice President of LinkedIn and Microsoft 365, shared the below communications with Microsoft and LinkedIn employees this morning. SATYA NADELLA MESSAGE After nearly 18 years at LinkedIn and Microsoft, Ryan Roslansky has decided to leave Microsoft and embark on his next chapter. As Ryan and I... The post Microsoft 365 and LinkedIn leadership update appeared first on The Official Microsoft Blog.
Every organization has knowledge that is uniquely its own: the way its business operates, the data it has built over time, the expertise of its people and the context behind thousands of everyday decisions. As powerful AI models become more widely available, that unique business intelligence matters more than ever. The difference will come from... The post New Microsoft data innovations unlock what only your business knows appeared first on The Official Microsoft Blog.
Across my conversations with leaders in government, critical infrastructure and regulated industries, one priority consistently rises to the top: putting technology to work on their most important systems while maintaining the control those systems require. This challenge is becoming more important as advanced cloud and AI capabilities move into public services, regulated processes and essential... The post Advancing digital sovereignty with greater control and choice appeared first on The Official Microsoft Blog.
AI is reshaping work faster than any organization has fully mastered. Across industries, the conversation has shifted from what AI can do to how companies can use AI to create business value and expand what people are able to achieve. At Microsoft, we believe the organizations that succeed will be what we call Frontier Firms:... The post What we’ve learned from Microsoft’s own AI transformation appeared first on The Official Microsoft Blog.
Throughout this past fiscal year, customers across every industry and segment moved from AI experimentation to deploying AI for real-world business outcomes. They unlocked innovation and created new opportunities for growth. We saw the emergence of Frontier Firms as they moved beyond efficiency gains to focus on human ambition and embed AI at the core... The post Looking back on Microsoft’s FY26: From AI experimentation to Frontier Transformation appeared first on The Official Microsoft Blog.
Microsoft has been in the business of education for five decades. Since the earliest days of this company, we have worked alongside educators, students, families and educational leaders through each new wave of technology — and we have learned what helps learning and what gets in the way. That commitment continues today, in a technological... The post Microsoft’s commitment for AI in education: Protecting students, strengthening learning appeared first on The Official Microsoft Blog.
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7 月 AI 行业资本动作:SpaceX 600 亿美元收购 Cursor、DeepSeek 500 亿元融资
DeepSeek 7 月完成 500 亿元融资,首次对外发布开源技术成果,估值进入独角兽俱乐部。
SK hynix 美国 IPO 募资 265 亿美元,首日上涨 13%,HBM4 4 个月卖了 10 亿美元。
马斯克旗下 SpaceX 宣布以 600 亿美元收购 AI 编程工具 Cursor,xAI 将与之深度整合。
订阅每日 AI 资讯简报,加入智汇 AI 社区与决策者一起把握 AI 时代脉搏。