Google is rolling out new Pixel accessories as part of Made by Google
New accessories for Pixel 11 phones are here.
Google is rolling out new Pixel accessories as part of Made by Google
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Google is rolling out new Pixel accessories as part of Made by Google
Sharing between Pixel devices is now just a tap away.
Sharing between Android devices is even easier, starting with Pixel. Use Quick Share and tap to send contact info and more.
Source: The Official Google Blog
7 can’t-miss updates from our Pixel 11 launch
The new Pixel 11 lineup offers the best of Gemini Intelligence and brings our biggest camera upgrades in years.
Source: The Official Google Blog
Pixel Watch 5: Proactive assistance and advanced health tracking on your wrist
Google Pixel Watch 5 offers proactive alerts, low-latency Gemini AI features, and health tracking to keep you connected.
Source: The Official Google Blog
The Pixel 11 series: Your most personal Pixel yet
Discover the Google Pixel 11 lineup featuring updated camera hardware, the Tensor G6 chip, LED HiLight notifications and faster Gemini AI support.
Source: The Official Google Blog
Chrome for Android Update
Hi, everyone! We've just released Chrome 151 (151.0.7922.137) for Android. It'll become available on Google Play over the next few days.
This release includes stability and performance improvements. You can see a full list of the changes in the Git log. If you find a new issue, please let us know by filing a bug.
Android releases contain the same security fixes as their corresponding Desktop releases (Windows & Mac: 151.0.7922.137/138, Linux: 151.0.7922.137) unless otherwise noted.
Harry Souders
Source: Google Chrome Releases
New usability features in Connected Sheets
Google Workspace is introducing two usability enhancements to Connected Sheets to improve data presentation and give more flexibility when analyzing BigQuery data.
List parameters: When writing a query, users can reference multiple values in a single list parameter by selecting a grid range in a sheet. Each cell will function as a unique value in the list. This enables more flexible or robust querying based on values already in the sheet. For example, this feature allows data admins and power users to configure input sheets that allow collaborators or end users to easily select options via drop-down or in the sheet for advanced filtering without needing to modify the underlying query. As a result, more users can independently self-serve insights and interact with Connected Sheets.
Column aliasing: Users can create aliases for BigQuery column names directly within the Connected Sheet. Database column names can sometimes be unwieldy or lack contextual information for broader audience readability. Aliasing provides a way to substitute presentation-ready labels in the Connected Sheets interface without altering the underlying database reference. Users can continue to refer to columns by either the new alias or the original name in formulas and inputs.
Getting started
- Admins: There is no admin control for this feature.
- End users: There is no end user setting for this feature. Visit the Help Center to learn more about using BigQuery data in Google Sheets.
Rollout pace
- Rapid Release and Scheduled Release domains: Rolling out now, with expected completion by August 15, 2026
Availability
- Available to all Google Workspace customers and users with personal Google accounts
Resources
- Google Docs Editors Help: Get started with BigQuery data in Google Sheets
Source: Google Workspace Updates
Extended Stable Update for Desktop
The Extended Stable channel has been updated to 150.0.7871.230 for Windows and Mac which will roll out over the coming days/weeks.
A full list of changes in this build is available in the log. Interested in switching release channels? Find out how here. If you find a new issue, please let us know by filing a bug. The community help forum is also a great place to reach out for help or learn about common issues.
Srinivas Sista
Google Chrome
Source: Google Chrome Releases
Stable Channel Update for Desktop
The Stable channel has been updated to 151.0.7922.137/.138 for Windows and Mac and 151.0.7922.137 for Linux, which will roll out over the coming days/weeks. A full list of changes in this build is available in the Log
Security Fixes and Rewards
Note: Access to bug details and links may be kept restricted until a majority of users are updated with a fix. We will also retain restrictions if the bug exists in a third party library that other projects similarly depend on, but haven’t yet fixed.
[$500][535000102] High CVE-2026-19556: Use after free in V8. Reported by Jihyeon Jeong (Compsec Lab, Seoul National University / Research Intern) on 2026-07-15
[N/A][536676756] High CVE-2026-19558: Use after free in Extensions. Reported by @bean5oup on 2026-07-20
[N/A][540482895] High CVE-2026-19560: Use after free in Blink. Reported by WinD39 - Huynh Dinh Vu on 2026-07-30
We would also like to thank all security researchers that worked with us during the development cycle to prevent security bugs from ever reaching the stable channel.
Many of our security bugs are detected using AddressSanitizer, MemorySanitizer, UndefinedBehaviorSanitizer, Control Flow Integrity, libFuzzer, or AFL.
Interested in switching release channels? Find out how here. If you find a new issue, please let us know by filing a bug. The community help forum is also a great place to reach out for help or learn about common issues.
Daniel Yip
Google Chrome
Source: Google Chrome Releases
Why Go is an Ideal Language for AI-Assisted Software Engineering
As AI coding assistants shift the developer's primary role from writing boilerplate to reviewing and maintaining systems, language choice becomes critical for long-term architectural integrity. Go directly addresses this new paradigm by utilizing its strict compiler, integrated toolchain, and uncompromising readability to provide deterministic guardrails that help AI models self-correct and generate highly standardized code. By enforcing ecosystem-wide consistency and strict backward compatibility, the Go platform empowers engineering teams to efficiently verify, optimize, and maintain high-velocity, AI-generated output in production environments.