What shipped & dropped across AI labs, today.
Today
Wed · Oct 14 · 3 postsHydraFusion updates and new Max option
HydraFusion has an updated model pool, improved orchestration workflows, and introduces HydraFusion Max. Both HydraFusion and HydraFusion Max are available across VS Code, the GitHub Copilot app, and GitHub Copilot…
Announcing MCP support in Apigee hybrid: agentic tools that run in your own cluster
Apigee hybrid 1.17.0 introduces native Model Context Protocol (MCP) support, enabling the MCP data plane to run directly within your own Kubernetes cluster. This architecture ensures that AI agent request traffic and tool execution remain entirely inside your infrastructure while pulling configuration updates from the control plane. Developers can expose OpenAPI 3.0.x specifications as discoverable MCP tools, leverage existing security policies and API products, and trace end-to-end requests using W3C trace context headers.
Anthropic opens Singapore office and signs MOU with the Government of Singapore
Yesterday
Tue · Oct 13 · 4 postsGemini 4 Argon in GitHub Copilot
Gemini 4 Argon, Google’s newest frontier model, is now generally available in GitHub Copilot. It is designed for complex coding, agentic, and reasoning tasks. In early testing, Gemini 4 Argon…
Enterprise managed settings enforcement updates
Enterprise administrators can now require supported GitHub Copilot clients to retrieve current server-managed settings at startup instead of relying on a cached policy. We are also adding minimum client version…
Optimizing a 200,000-line Python codebase overnight with Gemini 4 Argon
How our engineering team ran Gemini 4 Argon unattended overnight with .agents/skills and /goal mode to cut in-memory session prep overhead by 40% in long sessions and speed up cold imports by 21% in Google's open-source Python Agent Development Kit (ADK).
Gemini 4 Argon for Robotics
Gemini 4 Argon is a general-purpose physical reasoning model designed to enhance workflows across the robotics stack with advanced capabilities in physical understanding, code generation, and visual-semantic reasoning. Developers can access and integrate Argon across Google's developer platforms—including Google AI Studio, the Gemini API, and Google Antigravity—to build and test sophisticated robotic applications. By leveraging simulation tools like MuJoCo and code-as-policies, engineers can seamlessly transition from real-world data or sketches to physically verified robot control and self-improvement workflows.
Monday
Mon · Oct 12 · 1 postSaturday
Sat · Oct 10 · 1 postFriday
Fri · Oct 9 · 1 postThursday
Thu · Oct 8 · 5 postsCopilot code review: New organization billing options and controls
This release adds new billing and license controls for Copilot code review admins: Billing: Organization owners can bill Copilot code reviews from members with a Copilot license to the organization’s…
ML Drift: Next-Gen GPU AI/ML Inference at the Edge
Google AI Edge has introduced ML Drift, a high-performance, universal GPU compute framework designed to accelerate on-device AI and machine learning inference. By abstracting the complexities of hardware and low-level APIs—including OpenGL ES, OpenCL, Metal, and WebGPU—ML Drift enables developers to build real-time, interactive ML experiences, from sophisticated video effects to generative AI, across mobile and desktop platforms.
Introducing the Anthropic Cyber Mission
The Outer Loop, Insights First: An Ambient Quality Agent That Diagnoses Your Production Agent
How do you keep improving an AI agent after the first 80%, once it serves real production traffic and silent quality regressions return HTTP 200 OK? We are open-sourcing AQuA (Ambient Quality Agent), a reference implementation that runs beside your production agent in Google Cloud, sweeps and verifies failure clusters against conversation transcripts, and diagnoses root causes anchored to the exact deployed source snapshot.
2026 Usage Policy update
October 7
Wed · Oct 7 · 5 postsClaude Haiku 5.5 in GitHub Copilot
Claude Haiku 5.5, Anthropic’s newest lightweight model, is now generally available in GitHub Copilot. It is designed for fast, high-volume work like subagents, quick edits, and terminal tasks. In early…
Supercharge your development with the Google Developer Knowledge API ecosystem
Google is launching the Developer Knowledge API and MCP Server in public preview. This new toolset provides a canonical, machine-readable way for AI assistants and agentic platforms to search and retrieve up-to-date documentation across Firebase, Google Cloud, Android, and more. By using the official MCP server, developers can connect tools directly to Google’s documentation corpus, ensuring that AI-generated code and guidance are based on authoritative, real-time context.
Discover local models in GitHub Copilot CLI
GitHub Copilot CLI makes it easier to choose a local model without leaving your existing workflow. Starting in CLI version 1.0.94-0, use /model to discover supported models from a running…
Local sandboxing for GitHub Copilot now generally available
Local sandboxing for GitHub Copilot is now generally available in GitHub Copilot CLI, the GitHub Copilot app, and VS Code sessions using Agent Host. Local sandboxes give developers a secure…
Purpose-built model for leaked secret detection
Secret protection should keep pace with the way you build software, whether you write code yourself or work with an AI agent. With our new purpose-built model, we’re bringing context-aware…