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Google launches AI autofill for Chrome that can pull information from Gmail

Google has launched an advanced autofill feature for Chrome that can extract information from Gmail. According to the Google Blog, this feature uses Gemini's Personal Intelligence to automatically suggest details such as order numbers, shipping information, and flight reservations when filling out online forms. It is gradually rolling out in the US to Gemini in Chrome users who have Personal Intelligence enabled on desktop, Android, and iOS; sensitive data is encrypted, and users can manage permissions in Chrome settings. TechCrunch AI reported the same day that the feature can extract information such as flight confirmation numbers, membership IDs, shipping information, order numbers, addresses, phone numbers, or credit card numbers from Gmail and fill it into online forms; it is an extension of Personal Intelligence, and users can choose whether to enable it.

Google launches AI autofill for Chrome that can pull information from Gmail

Google has launched an advanced autofill feature for Chrome that can extract information from Gmail. According to the Google Blog, this feature uses Gemini's Personal Intelligence to automatically suggest details such as order numbers, shipping information, and flight reservations when filling out online forms. It is gradually rolling out in the US to Gemini in Chrome users who have Personal Intelligence enabled on desktop, Android, and iOS; sensitive data is encrypted, and users can manage permissions in Chrome settings. TechCrunch AI reported the same day that the feature can extract information such as flight confirmation numbers, membership IDs, shipping information, order numbers, addresses, phone numbers, or credit card numbers from Gmail and fill it into online forms; it is an extension of Personal Intelligence, and users can choose whether to enable it.

View story:Google launches AI autofill for Chrome that can pull information from Gmail

Google upgrades LiteRT GPU inference in Play services

On October 28, 2026, the Google Developers Blog announced that LiteRT in Google Play services has received its biggest upgrade yet: GPU inference based on ML Drift is about 1.4 times faster than the old GPU delegate and is provided through the new CompiledModel API. After switching to this runtime, app size shrinks by about 8 MB, because the runtime is distributed uniformly with Play services and is no longer packaged into the APK. Currently, more than 100,000 Android apps already bundle LiteRT or TensorFlow Lite. The solution supports Android 7 and above, Wear OS 4+, and Android Automotive OS (Android 11+), while NPU support is still under development.

Google podcast discusses how AI Overviews and AI Mode are changing search habits

On October 28, 2026, Google Ads podcast Ads Decoded released an episode hosted by Google Ads product liaison Ginny Marvin, in conversation with Shivani Mohan, Vice President of Google Search Data Science and UXR, discussing how AI Overviews and AI Mode are changing the search habits of billions of users. The episode focuses on Shivani Mohan's team's research into the modern search experience and what the long-form query trend means for businesses. The episode has currently been published on Google's official blog, with no further developments at this time.

Google launches Connected Apps Platform

Google has released a preview of the Connected Apps Platform, allowing developers to build and manage Connected Apps for Search and Gemini apps on a single platform. Developers complete integration through a cloud-hosted MCP server or Android MCP combined with AppFunctions APIs, then register, test, and submit via the Google Connected Console, and choose to launch on Search, Gemini, or both; after launch, they can view traffic, latency, and error rates. Google says Search and Gemini already have more than 50 Connected Apps, with integrations from Adobe, Experian, Localiza, and Peloton already live on Gemini and coming to Search in the coming weeks, and Calm's integration will also roll out on both. TechCrunch AI reports that the platform is currently available in preview as a beta to U.S. developers, and after launch it can track traffic, latency, and error rates while retaining brand identity and authenticated accounts.

View story:Google launches Connected Apps Platform

Google launches recording feature for Gemini Notebook mobile app

Google has launched a recording feature for the Gemini Notebook mobile apps on Android and iOS, allowing users to directly record real-time audio of up to 1 hour, and the recorded audio can later be used as source material for Notebook. According to information released by Gemini Notebook on October 28, 2026, the feature is suited for scenarios such as lectures and team meetings, and the official recommendation is to use recordings in combination with photos of handwritten notes. Testing Catalog reported the same day that the feature appears to be rolling out gradually. There is currently no public evidence of further development progress.

Gemini provides Google SynthID detection capability

Google Gemini has launched the SynthID detection feature. Users can directly ask Gemini, "Is this AI-generated?" to determine whether an image, video, or audio was generated by Google's AI. This feature is available to all users and is designed to help users browse online content with greater confidence. The feature has now launched with Gemini, and there is no follow-up development information at this time.

Gemini provides Google SynthID detection capability

Google Gemini has launched the SynthID detection feature. Users can directly ask Gemini, "Is this AI-generated?" to determine whether an image, video, or audio was generated by Google's AI. This feature is available to all users and is designed to help users browse online content with greater confidence. The feature has now launched with Gemini, and there is no follow-up development information at this time.

View story:Gemini provides Google SynthID detection capability

Google Research proposes a sleep framework to help LLMs retain knowledge in continual learning

Google Research proposes a sleep framework for continual learning in LLMs, introducing periodic sleep phases into the model to consolidate short-term context into long-term parameters, thereby mitigating catastrophic forgetting and the static knowledge cutoff. The framework consists of two stages: memory consolidation and dreaming. The former uses MoE parameter expansion and knowledge seeding based on GKD and reinforcement learning imitation, while the latter achieves self-improvement through random expert activation, screening of synthetic samples, and RL refinement. On BABILong, this method scales nearly perfectly within 10M tokens, and achieves accuracies of 79.2%, 69.0%, and 46.1% on AIME 24/25 and HMMT 25, respectively. There are currently no follow-up developments.

Google launches A2UI Express, a replaceable reasoning format for A2UI

On October 27, 2026, Google launched a replaceable reasoning format for A2UI, with A2UI Express becoming the new default format. According to the Google Developers Blog, Express can reduce latency by up to 3x and reduce the tokens needed to generate comparable UI by up to 3x; when used with decision models such as Jev for layout decisions, the latency reduction can reach 80x. The format has landed in the Python agent SDK (a2ui-agent-sdk 0.9.0), the TypeScript SDK (@a2ui/agent), and the Dart SDK (a2ui_agent 0.0.1-wip004), and developers can switch formats with a single parameter when creating a generator. There are currently no reports of further developments.

Google releases Gemini 4 Argon and demonstrates complex task capabilities

On October 27, 2026, Google released its latest model, Gemini 4 Argon, and demonstrated its ability to handle complex real-world tasks. Google says the model can reason, code, and coordinate tools, and the company gave 8 examples: first, writing 5,000 lines of mathematical code from scratch with zero source material, rendering a 3D sunlit library; second, processing more than 80,000 raw files from the NASA Mars mission in Antigravity and generating executive briefing slides. There is currently no information on further developments.

Google podcast discusses how AI Overviews and AI Mode are changing search habits

On October 28, 2026, Google Ads podcast Ads Decoded released an episode hosted by Google Ads product liaison Ginny Marvin, in conversation with Shivani Mohan, Vice President of Google Search Data Science and UXR, discussing how AI Overviews and AI Mode are changing the search habits of billions of users. The episode focuses on Shivani Mohan's team's research into the modern search experience and what the long-form query trend means for businesses. The episode has currently been published on Google's official blog, with no further developments at this time.

View story:Google podcast discusses how AI Overviews and AI Mode are changing search habits

LiteRT in Google Play services gets GPU inference upgrade

On October 28, 2026, the Google Developers Blog announced that LiteRT in Google Play services has received its biggest upgrade yet: GPU inference based on ML Drift is about 1.4 times faster than the old GPU delegate and is provided through the new CompiledModel API. After switching to this runtime, app size shrinks by about 8 MB, because the runtime is distributed uniformly with Play services and is no longer packaged into the APK. Currently, more than 100,000 Android apps already bundle LiteRT or TensorFlow Lite. The solution supports Android 7 and above, Wear OS 4+, and Android Automotive OS (Android 11+), while NPU support is still under development.

View story:Google upgrades LiteRT GPU inference in Play services

Google partners with USO to expand Google Beam to 20 locations

Google has partnered with the USO to deploy HP Dimension 3D video communication devices equipped with Google Beam to 20 USO sites worldwide, helping service members stationed abroad stay connected with their families through lifelike 3D video. The technology captures body language and eye contact in real time; it was previously piloted between Trzebień, Poland, and Fort Bliss, Texas, and is now expanding to Grafenwöhr, Germany, and Fort Hood, Texas. Google also released a documentary directed by veteran Kyle Hausmann-Stokes, chronicling the reunion stories of four military families. Sundar Pichai later said it was moving to see deployed soldiers share moments with their children through Google Beam, and thanked the U.S. Army and the USO for making it happen.

Google partners with USO to expand Google Beam to 20 locations

Google has partnered with the USO to deploy HP Dimension 3D video communication devices equipped with Google Beam to 20 USO sites worldwide, helping service members stationed abroad stay connected with their families through lifelike 3D video. The technology captures body language and eye contact in real time; it was previously piloted between Trzebień, Poland, and Fort Bliss, Texas, and is now expanding to Grafenwöhr, Germany, and Fort Hood, Texas. Google also released a documentary directed by veteran Kyle Hausmann-Stokes, chronicling the reunion stories of four military families. Sundar Pichai later said it was moving to see deployed soldiers share moments with their children through Google Beam, and thanked the U.S. Army and the USO for making it happen.

View story:Google partners with USO to expand Google Beam to 20 locations

Google Research proposes a sleep framework for continual learning of LLMs

Google Research proposes a sleep framework for continual learning in LLMs, introducing periodic sleep phases into the model to consolidate short-term context into long-term parameters, thereby mitigating catastrophic forgetting and the static knowledge cutoff. The framework consists of two stages: memory consolidation and dreaming. The former uses MoE parameter expansion and knowledge seeding based on GKD and reinforcement learning imitation, while the latter achieves self-improvement through random expert activation, screening of synthetic samples, and RL refinement. On BABILong, this method scales nearly perfectly within 10M tokens, and achieves accuracies of 79.2%, 69.0%, and 46.1% on AIME 24/25 and HMMT 25, respectively. There are currently no follow-up developments.

View story:Google Research proposes a sleep framework to help LLMs retain knowledge in continual learning

Google Developers Blog publishes HappyDelivery multi-agent prototype

On October 27, 2026, Prateek Khushalani published the HappyDelivery multi-agent conversational commerce prototype on the Google Developers Blog. The prototype is built on LangGraph, Gemini, FastAPI, and Google Cloud, implementing the previously proposed three-layer decoupled architecture of Ingress, Memory, and Cognition. The prototype abstracts channels such as WhatsApp, RCS, Apple Messages for Business, and SMS through platform-specific signature verification and a unified message schema; the Ingress layer was measured returning HTTP 200 in approximately 295–302 ms and forwarding to Pub/Sub. The article also provides code examples for the state machine, deterministic financial tools, and an automated validation suite. There are currently no subsequent developments.

View story:Prateek Khushalani publishes the HappyDelivery multi-agent prototype

Google launches replaceable reasoning format A2UI Express for A2UI

On October 27, 2026, Google launched a replaceable reasoning format for A2UI, with A2UI Express becoming the new default format. According to the Google Developers Blog, Express can reduce latency by up to 3x and reduce the tokens needed to generate comparable UI by up to 3x; when used with decision models such as Jev for layout decisions, the latency reduction can reach 80x. The format has landed in the Python agent SDK (a2ui-agent-sdk 0.9.0), the TypeScript SDK (@a2ui/agent), and the Dart SDK (a2ui_agent 0.0.1-wip004), and developers can switch formats with a single parameter when creating a generator. There are currently no reports of further developments.

View story:Google launches A2UI Express, a replaceable reasoning format for A2UI

Google demonstrates Gemini 4 Argon's ability to handle complex tasks

On October 27, 2026, Google released its latest model, Gemini 4 Argon, and demonstrated its ability to handle complex real-world tasks. Google says the model can reason, code, and coordinate tools, and the company gave 8 examples: first, writing 5,000 lines of mathematical code from scratch with zero source material, rendering a 3D sunlit library; second, processing more than 80,000 raw files from the NASA Mars mission in Antigravity and generating executive briefing slides. There is currently no information on further developments.

View story:Google releases Gemini 4 Argon and demonstrates complex task capabilities

Google Workspace supports native Markdown editing in Docs and Drive

Google Workspace announced that Google Docs and Drive now natively support viewing, editing, and collaborating on Markdown (.md) files, with no need for users to manually convert formats. According to information published on the Google Developers Blog on October 26, 2026, rendered tables and hyperlinks can be previewed directly in Drive, and a .md label will be displayed in the document header. The feature also supports real-time collaboration, line-level comments, and version history, making it convenient for team members and AI agents to co-edit the same file. No further progress has been disclosed at this time.