What shipped & dropped across AI labs, today.
Today
Wed · Sep 30 · 4 posts
HydraFusion 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
Yesterday
Tue · Sep 29 · 2 postsGPT-6.1 Sol in GitHub Copilot
GPT-6.1 Sol, the latest model from OpenAI, is now generally available and rolling out in GitHub Copilot. You can use it for agentic coding and terminal workflows with strong multistep…
Agents you can coach: how Asana builds human-agent teams with Claude
Arnab Bose, Chief Product Officer at Asana, on how Asana runs Claude-powered AI agents as teammates with scoped roles, shared memory, and work that everyone can see.
Monday
Mon · Sep 28 · 3 postsGiving companies more control over their AI agents, with NVIDIA
Anthropic has collaborated with NVIDIA to bring additional layers of security and control to the agent stack of its Open Agent Safety Platform.
Team Bots: AI coworkers that learn from your team
Give a Grok Bot the files, apps, and expertise it needs, then share it so your whole team can work from the same context.
Claude Sonnet 5.5 in GitHub Copilot
Claude Sonnet 5.5, Anthropic’s newest Sonnet model, is now generally available in GitHub Copilot. It is designed for well-scoped everyday work like building features and fixing bugs. In our early…
Friday
Fri · Sep 25 · 6 postsEnterprise managed settings in-product validator
You can now use an in-product validator for enterprise managed settings for GitHub Copilot. The validator detects malformed JSON, unsupported configurations, invalid team mappings, and other errors that can prevent…
Usage metrics API adds pull request review stages
The enterprise and organization repository-level Copilot usage metrics reports now break down how long pull requests spend in each stage of review. A new pull_request_review_times array on each repos-1-day row…
Agentic autofix now uses Copilot Memory
Agentic autofix now uses Copilot Memory for customers who’ve enabled it. When you use agentic autofix, it reviews existing memories for context that can help resolve security alerts. When it…
Build plugins for Claude
Submit plugins to the Claude directory through a new directory submission portal. Package MCP connectors and Agent Skills, track your plugin through review, and see how it's used and found once it's live
GitHub Copilot weekly releases — September 21
This week's releases add models to Copilot, local sandboxing in the Copilot app, and updates to Copilot in Slack, Microsoft Teams, JetBrains, and VS Code.
Updates to GitHub Copilot for Slack and Microsoft Teams
GitHub Copilot in Slack and Microsoft Teams now gives you more context, more control, and a clearer path from conversation to GitHub work. Whether you’re sharing files in Slack or…
Thursday
Thu · Sep 24 · 5 postsDefault Enablement of Copilot features for Copilot Business and Enterprise
We’re introducing a new global default policy for generally available GitHub Copilot features and supported client capabilities in enterprise and organization Copilot settings. For the next 28 days, you can…
Claude Tag now supports personal connectors in channels
Claude Tag can now use your connectors for requests you make in a channel. Nobody else can use them, and you're in control of how to present the output.
Turn your REST APIs into MCP tools with Google Cloud API Gateway
Google Cloud API Gateway now acts as a native remote Model Context Protocol (MCP) server, eliminating the need to build and maintain custom middleware to expose REST APIs to AI agents. By simply adding specific annotations (like x-google-api-management.mcp) to existing OpenAPI 3.x specifications, developers can instantly convert standard REST operations into discoverable, agent-ready tools. The gateway automatically transcodes incoming MCP JSON-RPC requests into REST calls, ensuring that your existing authentication, quotas, and logging policies apply seamlessly to agent traffic without requiring new infrastructure.
Coding sessions are longer and use more context. Claude Opus 5.5 is built with that in mind.
Our latest Opus model is priced and trained to optimize costs for how developers code now.
Reproducing Olmo 3 7B Pre-training in MaxText: case study of large scale training on TPUs
The MaxText team successfully reproduced Ai2’s Olmo 3 7B language model from scratch on Google Cloud TPUs using JAX/XLA, precisely matching the original PyTorch-on-GPU reference across pre-training and mid-training stages on all held-out evaluations. The implementation achieved up to 57.4% Model Flops Utilization (MFU) and demonstrated robust infrastructure portability by surviving mid-run cluster resizes and cross-generation TPU shifts without requiring recipe alterations. Crucially, the exercise proved the necessity of comprehensive held-out validation by catching a silent data-loader memorization bug that artificially depressed training loss and would have otherwise faked a performance win.