What shipped & dropped across AI labs, today.
Yesterday
Tue · Oct 6 · 5 posts
Update your IDE to restore agent activity in Copilot usage metrics
If your Copilot usage metrics have shown agent activity or agent lines of code falling while Copilot usage kept growing, we’ve found the cause, and a fix is rolling out…
Remote control for local agents
You can now see and reply to the local agents running on your computer from the Cursor iOS app. #Get started Remote Control is on by default for everyone except Enterprise organizations. Download the Cursor iOS app and sign in. Computers on your account appear in the app automatically. Tap your computer in the app and approve your pairing request in the Cursor desktop app. Your local agents appear in a list. Tap one to see what it's doing or send it a message. #Agents keep running on your computer Remote control doesn't move your agents anywhere. It keeps running on your computer, and the app connects to it. Your computer needs to stay on and online for remote control to work. #Keep your computer awake To stop your computer from sleeping while you're away, turn on "Keep this computer awake" under Remote Control in Cursor's desktop settings. Your computer needs to be plugged in with the lid open. #For Enterprise teams Remote control is on by default, except for Enterprise organizations. Enterprise admins can turn it on in Org settings > Security and identity > Remote control. Remote control doesn't require cloud agents to work. Remote control is available today in the Cursor iOS app.
Expanding the Cyber Verification Program
Opus 5.5 performs at the level of Claude Fable 5.1 on most work and costs 40% less to run than Opus 5.
EmbeddingGemma 2: The Developer Guide
EmbeddingGemma 2 is a compact, open-source multimodal embedding model that maps text, code, images, video, and audio into a unified 768-dimensional space. Developers can use the sentence-transformers library to selectively load modular modality encoders—ranging from 270M to 740M parameters—to optimize memory usage. Additionally, Matryoshka Representation Learning enables dynamic dimension truncation down to 128d, significantly reducing vector database storage requirements while maintaining high retrieval performance.
Bring multimodal semantic search to the edge with EmbeddingGemma 2
EmbeddingGemma 2 is a new 740M open-weight multimodal model that maps text, images, video, and audio into a unified vector space for privacy-first, on-device retrieval. Developers can easily integrate these capabilities cross-platform using MediaPipe Tasks or optimize fine-grained performance across CPU, GPU, and NPU accelerators with LiteRT. The model enables ultra-low-latency local solutions like search-as-you-type media retrieval, keyframe video moments finding, and zero-shot intent routing.
Monday
Mon · Oct 5 · 1 post
Friday
Fri · Oct 2 · 3 postsCopilot code review: API support and new default effort level
You can now request a GitHub Copilot code review through the REST and GraphQL APIs and set the review effort level for each request. Balanced is also now the default…
Selected models in GitHub Copilot deprecated
As of today, October 2, 2026, we have deprecated the following models across all GitHub Copilot experiences (including Copilot Chat, inline edits, ask and agent modes, and code completions). Model…
Anthropic invests $100 million to train 10,000 engineers and tackle the enterprise AI talent gap
Thursday
Thu · Oct 1 · 6 posts
EmbeddingGemma 2: an open, lightweight multimodal embedding model
Dynamic workflows in Copilot CLI and the Copilot app
Dynamic workflows are now available in Copilot CLI, the GitHub Copilot app, and the GitHub Copilot SDK. These let you define an orchestration in code to get the reliability and…
GitHub Copilot in VS Code, September 2026 releases
This changelog covers VS Code v1.136 through v1.140, shipped throughout September 2026. September’s releases streamline agent-driven development from implementation through pull request merge. Automations handle repeatable tasks, agent merge helps…
GitHub Copilot can now interact with desktop apps with computer use
Computer use is now available in public preview in GitHub Copilot CLI and the GitHub Copilot app on macOS and Windows. Copilot can interact with desktop applications on your behalf…
Customize Claude Code with mods
Mods are small TypeScript functions that change how Claude Code works. Rewrite prompts, block risky commands, add custom UI, or replace built-in features. Write one yourself or ask Claude Code to write it, then share it as a plugin.
Barclays scales Claude to upgrade operations and improve client experience
September 30
Wed · Sep 30 · 4 postsHydraFusion in VS Code and the GitHub Copilot app
The HydraFusion research preview is now available in Visual Studio Code and the GitHub Copilot app, expanding beyond Copilot CLI. HydraFusion appears in the model picker, but rather than being…
Claude for Government is now generally available
Claude Code CLI and Claude for Microsoft 365 also now available in early access.
Accelerating Spatio-Temporal Attention for Video Diffusion on TPUs
To address the quadratic latency bottleneck of self-attention in high-resolution video diffusion models, developers implemented Sparse VideoGen (SVG) to dynamically route attention heads to highly structured spatial or temporal sparse masks. Translating this algorithmic sparsity into physical hardware speedups on TPUs required optimizing the Splash Attention kernel by bypassing empty memory tiles, restricting exact coordinate masking strictly to boundary tiles, and permuting token memory layouts into temporal-major order for contiguous access. By aligning these sparse masks with actual hardware tile execution, the combined optimizations significantly reduced wasted matrix operations and achieved up to a 1.69x end-to-end inference speedup for 1440p video generation.
How Anthropic's sales team rebuilt inbound with Claude Managed Agents
How a Claude-powered buying agent now answers most inbound customers, and how that changed the way our sales team works