Official announcements and industry reporting. Follow the timeline of AI.
From the latest news to tools that work for you.
JAXModels & infrastructureJAX is a Python numerical computing library designed for accelerators, specifically tailored for high-performance array computations and large-scale machine learning. It efficiently executes the same code across multiple hardware backends, including CPUs, GPUs, and TPUs.
分类推荐榜首K
KiroCoding & developmentKiro is an AI engineering tool for developers that organizes requirements into specifications, architectures, and tasks, generates code via agents, and supports the entire workflow—from planning to code review—through property-based testing, execution memory, and integration with development tools.
分类推荐榜首A
AI ShortWriting & contentAIS ALERT MANAGEMENT AND SHARED PLATFORM, QUICK COMMAND FOR MULTIPLE SCENARIOS
分类推荐榜首E
EvoMapAgents & automationEvoMap is an infrastructure designed for the reuse of AI agent experiences. It organizes reusable strategies and repair assets with validation records via the GEP protocol, offering market- and quality-based ranking to help different agents discover, evaluate, and inherit existing capabilities.
分类推荐榜首O
Open DesignDesign & 3DOpenDesign is an open-source design workspace that can connect to local programming agents, use built-in model keys, or leverage cloud-based models, enabling the creation and editing of prototypes, web pages, presentations, and graphics within a design system; local software is free, while model services incur fees.
分类推荐榜首M
MemoAIMusic & audioMemoAI is an AI-powered audio-to-text tool that supports localized processing, eliminating the need to upload data and ensuring privacy and security. It can efficiently transcribe YouTube videos, podcasts, and local audio/video files (such as MP4, MP3, AAC, M4A, etc.) into text, while offering core features like multilingual translation, speaker diarization, real-time subtitles, and floating notes—making it ideal for meeting minutes, interview transcription, content learning, and more.
分类推荐榜首U
Udacity AI学院Education & languagesUdacity AI Academy is the gateway to AI courses and learning paths, covering machine learning, deep learning, computer vision, natural language processing, and AI product management, with courses and project-based training available at both beginner and advanced levels.
待评分 · 分类列表推荐M
My Glow Up AILife & personalMy Glow Up AI provides free analysis based on selfies, without requiring registration, and can generate hairstyle recommendations and beauty plans that suit you.
待评分 · 分类列表推荐ZZoom Workplace is Zoom’s team collaboration platform, integrating video conferencing, chat, calendars, and documents, and leveraging built-in AI to organize discussions, draft messages, and track follow-up tasks.
待评分 · 分类列表推荐I
IamIPIndustry applicationsIamIP is a patent platform that provides AI-driven search, analysis, and monitoring tools to help users conduct patent research and management more efficiently.
待评分 · 分类列表推荐Token Pass credit is now automatically applied to model usage through AI Gateway, regardless of authentication method, with fallback to team credits when Token Pass credit runs out. Requests remain under Zero Data Retention policies, and standard keys or OIDC tokens are recommended for fallback access.
The enterprise and organization repository-level Copilot usage metrics reports now show what happens to Copilot code review feedback. A new copilot_code_review object on each repos-1-day row reports how many Copilot-reviewed… The post Usage metrics API adds code review details and addressed rate appeared first on The GitHub Blog.
The Copilot usage metrics API now shows which users are missing client telemetry or are running IDE or extension versions below the usage metrics minimums. New per-user fields appear in… The post Usage metrics API flags telemetry and version gaps appeared first on The GitHub Blog.
Vercel Schedules is now available in public beta across all plans, enabling users to run tasks on a recurring basis or at a specific time in production, preview, or custom environments. It supports targeting private Vercel Functions, HTTP paths, or Queue topics, with schedules definable in vercel.json or created at runtime. Static schedules use cron expressions and require an experimental trigger to make functions private, while runtime schedules dispatch to Queue topics. Schedules replace Cron Jobs, with billing starting at $5 per 1M runs and $10 per 1M creations on Pro and Enterprise plans, and Hobby plan includes 500 schedule creations and 5,000 runs monthly.
Google's Gemini Omni 1.2 Flash is now accessible via AI Gateway, enabling users to generate 3–15 second videos from text prompts using a single API key without needing a separate Google account. The model supports video generation with native audio, editing clips using up to six reference images, extending videos by 3–10 seconds per call (up to 30 seconds total), and refining outputs via previousInteractionId. Output resolutions include 360p, 720p, 1080p, and 4K in 16:9 or 9:16 aspect ratios. Videos can be retrieved via generateText or streamText in the AI SDK as MP4 files. AI Gateway offers unified API access, usage tracking, cost monitoring, retry configurations, failover, performance optimization, custom reporting, Zero Data Retention, budget controls, and routing rules, reflecting provider pricing with no markup or platform fees, including for BYOK requests.
The Workflow SDK's start() function now allows initiating a workflow run and claiming a hook atomically, eliminating the race condition present in the previous getHookByToken()-then-start() pattern. This change ensures idempotency using a token derived from domain-specific identifiers like order or invoice IDs. Duplicate starts fail safely with a HookConflictError, which includes the conflicting run's ID. The claimed hook is available immediately, enabling early payload buffering and ordered delivery even before execution begins. Inside workflows, createHook with the same token binds to the existing hook without conflict or additional steps. Experimental settings like minRetention prevent late duplicates by keeping tokens reserved after run completion.
Kimi K3.1 Pro and its high-speed variant are now accessible through additional Zero Data Retention (ZDR) providers on Vercel's AI Gateway, expanding beyond Moonshot AI. The models feature a 1M-token context window, image input support, and enhanced capabilities in coding, 3D modeling, and financial analysis. Highspeed is optimized for low-latency interactive tasks like coding agents. Users can invoke the models via AI SDK, Chat Completions, Responses, Anthropic Messages APIs, or integrated coding agents. Enabling ZDR in gateway settings ensures requests only route to ZDR-compliant providers. Setup for tools like Claude Code, Codex, and Cursor requires the latest Vercel CLI. AI Gateway offers unified API access, usage tracking, cost management, routing rules, and built-in reporting, reflecting provider pricing without markup and supporting Bring Your Own Key.
Vercel Schedules enables applications and agents to create, modify, or cancel one-time and recurring tasks dynamically through code without redeployment. It supports both static schedules defined in configuration files and dynamic schedules managed via SDK, CLI, or API during runtime. The service integrates with Vercel Queues to trigger tasks at specified times, allowing apps to handle work like data cleanup or AI-driven summaries securely and efficiently. Users can test schedules in preview environments before production, and the feature is now available in Public Beta.
Vercel has partnered with Truffle Security to enhance automated detection and revocation of exposed Vercel tokens across public platforms like GitHub, GitLab, npm, and others. A new scanner also checks monthly Common Crawl data, automatically revoking any found tokens. Revoked tokens trigger an email notification explaining the action.
Images 2.6 brings faster image generation, GIF creation, more precise editing, and new API controls across ChatGPT, Codex, and the API.
Vercel Security Review is now available in public beta for Pro and Enterprise teams, automatically scanning code pushes to connected GitHub repositories for vulnerabilities. Reviews trigger on every push, including direct and force pushes, and findings are reported in a dashboard with details like project, environment, branch, commit, summary, suggested fix, and AI-generated severity. Findings appear as GitHub checks or review comments, and users can fix issues via Vercel Agent or CLI. Teams can set security policies for context, but the tool does not perform runtime or penetration testing. Pricing follows Vercel Agent rates, with free access until November 10, 2026.
Vercel CI can now be enabled on GitHub repositories without requiring an associated Vercel project, simplifying setup. Users need the Vercel GitHub App installed, their GitHub and Vercel accounts linked, and write or admin access to the repository. Running `vercel ci enable` in a local clone activates CI for the team, with configuration applied on subsequent pushes. This feature is currently limited to private GitHub repositories.
Zapier leverages Vercel to rapidly develop interactive partner demos in under two hours, build internal applications like Marketing Hive and Marketing OS in a day each, and securely share sensitive data through SSO-protected deployments. The platform enables non-developers to deploy applications, supports AI orchestration via AI Gateway, and facilitates scalable, secure code execution with 3.3 million sandboxes created monthly. Vercel's speed, security, and ease of use have become central to Zapier’s innovation across engineering, marketing, and sales teams.
On October 28, 2026, GitHub released the official version of Copilot Fusion, simultaneously introducing an experimental local model routing feature. This capability enables automatic invocation of local models such as MAI Code 1.1 Flash on Windows devices and activates intelligent routing within VS Code, the CLI, and the Copilot App. The system automatically selects and combines cloud models—like those from OpenAI, Anthropic, and Google—based on three effort levels: Standard, High, and Max, achieving performance close to Claude Code while cutting costs in half during coding evaluations.
At Universe 2026, GitHub unveiled Copilot Fusion, an intelligent orchestration layer that automatically routes and combines models from OpenAI, Anthropic, Google, and others to complete coding tasks—eliminating the need for developers to manually select models. It integrates existing automatic model-selection technologies with Project HydraFusion, previewed in September. Once the model selector is enabled, the system automatically adopts execution modes such as single-model, cascading, or critique, based on task complexity.
GitHub Copilot Fusion is generally available. Instead of picking a model for each task, choose Copilot Fusion and let Copilot intelligently route and orchestrate which models it uses for you.… The post Route and orchestrate models with GitHub Copilot Fusion appeared first on The GitHub Blog.
Work doesn’t always fit in a single repository or session. A feature can span several repositories. A launch plan can pull in specs, designs, and assets without touching a repository… The post GitHub Copilot app, Universe releases appeared first on The GitHub Blog.
Enterprises working with a GitHub or Microsoft account team can now get Copilot included with GitHub Enterprise for every licensed user. Previously, you had to manage two things: how many… The post GitHub Enterprise now includes access to GitHub Copilot appeared first on The GitHub Blog.
You can now work through your repository’s GitHub code scanning alerts without leaving the GitHub Copilot app. The new GitHub security extension, now in public preview, lets you find the… The post Security extension for the GitHub Copilot app appeared first on The GitHub Blog.
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