Google Chrome has begun rolling out "Suggested by Gemini" autofill, which uses Gemini and Personal Intelligence to extract order numbers, shipping information, flight bookings and other content from Gmail and fill it into online forms. The feature is currently rolling out to Gemini in Chrome users in the United States who have Personal Intelligence enabled on Android, iOS and desktop.
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Google announced the launch of the Connected Apps Platform, allowing more app developers to connect their capabilities directly to Gemini and Search. Currently, there are more than 50 third-party Connected Apps in the Gemini app, including Adobe, Dropbox, Instacart, OpenTable, Ticketmaster, and others, and Google also announced that the Calm integration will launch in the coming weeks. Developers need a cloud-hosted MCP server or an Android MCP based on the AppFunctions API, and then register, test, and submit their apps through the new Google Connected Console, where they can view traffic, latency, and error rates.
Google announced the launch of the Connected Apps Platform, allowing more app developers to connect their capabilities directly to Gemini and Search. Currently, there are more than 50 third-party Connected Apps in the Gemini app, including Adobe, Dropbox, Instacart, OpenTable, Ticketmaster, and others, and Google also announced that the Calm integration will launch in the coming weeks. Developers need a cloud-hosted MCP server or an Android MCP based on the AppFunctions API, and then register, t
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Two weeks after the release of Argon, Google announced its next-generation frontier model Gemini 4 Carbon, claiming significant improvements in coding, agentic tasks, and cybersecurity defense. Carbon ranks first with 59 points on the updated Artificial Analysis Intelligence Index v5.0, and rose 89 elo to 1769 points on WebDev Arena, ranking fourth. On safety, Google says Carbon reduces unsupported claims by about 2x compared with Argon, reduces excessive overreach behavior by 26%, and reduces under-service by 29%. The model will first be made available to cybersecurity defenders this week, followed by rollout to developers, enterprises, and consumers.
Two weeks after the release of Argon, Google announced its next-generation frontier model Gemini 4 Carbon, claiming significant improvements in coding, agentic tasks, and cybersecurity defense. Carbon ranks first with 59 points on the updated Artificial Analysis Intelligence Index v5.0, and rose 89 elo to 1769 points on WebDev Arena, ranking fourth. On safety, Google says Carbon reduces unsupported claims by about 2x compared with Argon, reduces excessive overreach behavior by 26%, and reduces u
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Google has released the large language model Gemini 4 Carbon and the world model Genie 4; the former surpasses its own Gemini 4 Argon and OpenAI's GPT-6 Astra on comprehensive capability benchmarks. Gemini 4 Carbon focuses on vulnerability detection and patching and is currently available only to select cybersecurity experts; Genie 4 adds audio capabilities, allowing developers to add background sound and dialogue to AI worlds, and a waitlist is now open.
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When Google's AI Mode was asked "Who won the 2020 presidential election," it did not answer directly, instead directing users to consult the official report of the U.S. Federal Election Commission (FEC). Tests showed that it similarly avoided the 2024 election, provided only an external link for the 2012 election, but was able to give detailed and correct answers about the winners of all other elections since 2000.
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On The Pragmatic Engineer podcast, Titus Winters looked back at Google's 2010 large-scale refactoring of 250M+ lines of C++ code, which was maintained by 10,000 engineers at the time; the team completed it in seven steps—parsing, matching, code generation, coexistence of old and new APIs, sharding, banning old patterns, and deleting old APIs—all well before the LLM era. He also discussed how Google, because Search could not be released monthly, mandated that every change come with tests, and how he took part in updating the ACM/IEEE undergraduate computer science curriculum guidelines, believing that almost all existing curricula should be torn down and rebuilt.
On The Pragmatic Engineer podcast, Titus Winters looked back at Google's 2010 large-scale refactoring of 250M+ lines of C++ code, which was maintained by 10,000 engineers at the time; the team completed it in seven steps—parsing, matching, code generation, coexistence of old and new APIs, sharding, banning old patterns, and deleting old APIs—all well before the LLM era. He also discussed how Google, because Search could not be released monthly, mandated that every change come with tests, and how
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At the Android Dev Summit, Google launched the Bring Your Own Agent feature for Android Studio Rabbit 2. Through the open Agent Client Protocol, developers can run more than 40 coding agents simultaneously within the IDE, including Claude Agent, Codex, and Google Antigravity, with direct access to project structure, the emulator, and Logcat. Google says that in internal tests, after agents rendered Compose previews in the terminal, they completed UI tasks 77% faster and cut token usage to as little as one-third; in an A/B test using Claude Opus 5.5, the CLI with built-in LeakCanary found and fixed memory leaks nearly twice as fast, with about 25% fewer tokens. On the on-device side, Google added an Agentic API alpha powered by Gemini Nano 4 to ML Kit, and launched the MCP-based AppFunctions API beta and the Agent-to-UI interface; it also partnered with XREAL to release the Android XR smart glasses XREAL AURA, priced at $1,099 and shipping in mid-November.
At the Android Dev Summit, Google launched the Bring Your Own Agent feature for Android Studio Rabbit 2. Through the open Agent Client Protocol, developers can run more than 40 coding agents simultaneously within the IDE, including Claude Agent, Codex, and Google Antigravity, with direct access to project structure, the emulator, and Logcat. Google says that in internal tests, after agents rendered Compose previews in the terminal, they completed UI tasks 77% faster and cut token usage to as lit
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Google DeepMind launched Gemini 4 Carbon two weeks after the release of Argon. The model scored 59 on the Artificial Analysis Intelligence Index v5.0, higher than Argon's 50, ranking first. Carbon is designed for long-horizon engineering tasks, rose to 1769 points and fourth place on WebDev Arena, and reduced the attack success rate from 0.7% to 0.0% on the Gray Swan indirect prompt injection benchmark. The model is first being made available to select cybersecurity experts, priced at $2 per million input tokens and $10 per million output tokens, in line with Argon's introductory pricing.
Google DeepMind launched Gemini 4 Carbon two weeks after the release of Argon. The model scored 59 on the Artificial Analysis Intelligence Index v5.0, higher than Argon's 50, ranking first. Carbon is designed for long-horizon engineering tasks, rose to 1769 points and fourth place on WebDev Arena, and reduced the attack success rate from 0.7% to 0.0% on the Gray Swan indirect prompt injection benchmark. The model is first being made available to select cybersecurity experts, priced at $2 per mil
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Google's third-quarter search revenue grew about 12%, below analysts' expectation of 15%, and some investors believe the problem of AI search queries growing fast but having low monetization capacity is beginning to show. Executive Philipp Schindler said on the earnings call that the strong growth of AI Mode queries affected revenue due to the lower level of monetization. In the same period, cloud business revenue grew 103% year over year to $30.7 billion, and the Gemini app reached 1 billion users.
Google's third-quarter search revenue grew about 12%, below analysts' expectation of 15%, and some investors believe the problem of AI search queries growing fast but having low monetization capacity is beginning to show. Executive Philipp Schindler said on the earnings call that the strong growth of AI Mode queries affected revenue due to the lower level of monetization. In the same period, cloud business revenue grew 103% year over year to $30.7 billion, and the Gemini app reached 1 billion us
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Google has released the frontier model Gemini 4 Carbon, claiming notable improvements in coding, agentic tasks, and cybersecurity, and ranking first on the Artificial Analysis Intelligence Index (v5.0), followed by Claude Opus 5.5 and GPT-6 Astra. The model is currently available only to select cybersecurity defense companies, and will later be expanded to other partners through the Fairwind Program; it ranks first on two benchmarks, SEC-bench Pro and ExploitGym, and is priced the same as Argon at $2 per million input tokens and $10 per million output tokens.
Google has released the frontier model Gemini 4 Carbon, claiming notable improvements in coding, agentic tasks, and cybersecurity, and ranking first on the Artificial Analysis Intelligence Index (v5.0), followed by Claude Opus 5.5 and GPT-6 Astra. The model is currently available only to select cybersecurity defense companies, and will later be expanded to other partners through the Fairwind Program; it ranks first on two benchmarks, SEC-bench Pro and ExploitGym, and is priced the same as Argon
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The Google A2UI team and CopilotKit CEO Atai Barkai explain how to build generative UI applications using the A2UI open standard and CopilotKit. A2UI describes interfaces with declarative JSON, and the client only renders components from a trusted component catalog; the same response can be rendered to React, Angular, SwiftUI, Jetpack Compose, and Flutter. The article provides a code example for integrating CopilotKit with Google ADK, and explains the bidirectional flow, implemented via the AG-UI protocol, in which user actions are sent back and the agent regenerates the interface.
The Google A2UI team and CopilotKit CEO Atai Barkai explain how to build generative UI applications using the A2UI open standard and CopilotKit. A2UI describes interfaces with declarative JSON, and the client only renders components from a trusted component catalog; the same response can be rendered to React, Angular, SwiftUI, Jetpack Compose, and Flutter. The article provides a code example for integrating CopilotKit with Google ADK, and explains the bidirectional flow, implemented via the AG-U
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Google DeepMind has released Gemini 4 Carbon, which ranks first on the Artificial Analysis Intelligence Index v5 with a score of 59 and leads in 4 of 9 evaluations including HLE-Diamond and TB-Science. The model focuses on cybersecurity and long-horizon tasks, claiming 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench, and is initially available only to trusted cybersecurity personnel through the Fairwind Program. In terms of specifications, it supports a 1M token context and 1M maximum output, with input covering text, images, video, and speech, and output in text; Artificial Analysis lists a standard price of $4/$20 per million input/output tokens, plus a 50% launch discount.
Google DeepMind has released Gemini 4 Carbon, which ranks first on the Artificial Analysis Intelligence Index v5 with a score of 59 and leads in 4 of 9 evaluations including HLE-Diamond and TB-Science. The model focuses on cybersecurity and long-horizon tasks, claiming 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench, and is initially available only to trusted cybersecurity personnel through the Fairwind Program. In terms of specifications, it supports a 1M token context and 1
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Google acknowledged at the Alphabet Q3 earnings call that the Gemini-driven AI Mode has a lower monetization rate than traditional search, and its strong query growth has instead dragged down overall revenue performance. Google said ad experiments show that in AI Mode, the click-through rates of sponsored and organic product listings are now similar, and it is expanding AI Mode ads to 10 markets including Australia, Canada, and India, with plans to enter Brazil, Mexico, and the UK in Q4 2026. Around the earnings release, $GOOG fell about 12%, with market value shrinking by more than $500 billion; reports say the main reason was Q3 earnings falling short of expectations, not AI Mode itself.
Google acknowledged at the Alphabet Q3 earnings call that the Gemini-driven AI Mode has a lower monetization rate than traditional search, and its strong query growth has instead dragged down overall revenue performance. Google said ad experiments show that in AI Mode, the click-through rates of sponsored and organic product listings are now similar, and it is expanding AI Mode ads to 10 markets including Australia, Canada, and India, with plans to enter Brazil, Mexico, and the UK in Q4 2026. Ar
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Google released its second Gemini for Home update in October, fixing a bug where Home and Nest speakers/displays would randomly say "Sorry, I didn't understand" when no one had asked a question. The update also fixes the reliability of YouTube TV voice commands on smart displays, cross-room volume adjustments mistakenly changing the current device, and alarm and timer volumes being set to zero. The update is rolling out starting today.
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This week, Strava announced that it is expanding its AI integration to Google Gemini, after previously connecting to Claude via MCP. Once connected, users can query their training data in natural language—for example, comparing this year's fastest 10K with their historical best, analyzing race performance mile by mile, combining temperature, humidity, and wind to assess how weather affected a long run, and viewing their longest streak records for each sport.
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Google is expanding ads in AI Mode to 10 new countries, including Australia, Canada, India, Kenya, and Singapore, and plans to enter Brazil, Mexico, and the UK later this year. In the US, Google introduced "multiturn ads," which can display ads based on commercial relevance in follow-up questions within AI Mode. Google Chief Business Officer Philipp Schindler said user queries are shifting to AI Overviews and AI Mode, causing search ad revenue growth to slow in the third quarter.
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Alphabet's stock fell 12.6% in a single day, wiping out about $500 billion in market value, while Reddit's shares dropped 15% the same day; both companies pointed to the impact of AI search on traffic and ad monetization. Google Chief Business Officer Philipp Schindler acknowledged that growing usage of AI Mode is actually weighing on revenue, because it monetizes less effectively than traditional search; Reddit, meanwhile, said traffic from search has declined noticeably, that fourth-quarter daily active users could fall by a double-digit percentage, and that it will push users to log in. Google Search and related advertising revenue still grew 12% year over year to $63.35 billion, but the growth rate slowed markedly from 19% in the first quarter.
y, wiping out about $500 billion in market value, while Reddit's shares dropped 15% the same day; both companies pointed to the impact of AI search on traffic and ad monetization. Google Chief Business Officer Philipp Schindler acknowledged that growing usage of AI Mode is actually weighing on revenue, because it monetizes less effectively than traditional search; Reddit, meanwhile, said traffic from search has declined noticeably, that fourth-quarter daily active users could fall by a double-di
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Google Gemini can now generate, preview, and edit PDFs, Google Docs, Google Sheets, Slides, Markdown, TXT, and code files directly within conversations, available to all Gemini users starting today. PDF preview and editing are available on both web and mobile, while other formats are currently limited to web. Users can expand documents to full screen for editing, or select text within a file to ask Gemini questions or have it make modifications, such as selecting a table and requesting it be converted into a chart. Earlier this year, Google already supported generating and downloading files in Gemini; what's new this time is the ability to modify files without leaving the Gemini app.
Google Gemini can now generate, preview, and edit PDFs, Google Docs, Google Sheets, Slides, Markdown, TXT, and code files directly within conversations, available to all Gemini users starting today. PDF preview and editing are available on both web and mobile, while other formats are currently limited to web. Users can expand documents to full screen for editing, or select text within a file to ask Gemini questions or have it make modifications, such as selecting a table and requesting it be con
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Oracle announced that it will deploy Google TPU on OCI, along with inference chips from OpenAI, Cerebras, SambaNova, and Positron AI, giving customers more computing options beyond Nvidia GPUs. Oracle says it will become the first hyperscale cloud provider other than Google Cloud to offer TPU; TPU and the Cerebras wafer-scale engine are planned to launch in 2027, and Positron Atlas is already available. At the same time, Oracle is expanding its partnership with Nvidia, with the Vera Rubin NVL72 system and Vera CPU now generally available on OCI.
Oracle announced that it will deploy Google TPU on OCI, along with inference chips from OpenAI, Cerebras, SambaNova, and Positron AI, giving customers more computing options beyond Nvidia GPUs. Oracle says it will become the first hyperscale cloud provider other than Google Cloud to offer TPU; TPU and the Cerebras wafer-scale engine are planned to launch in 2027, and Positron Atlas is already available. At the same time, Oracle is expanding its partnership with Nvidia, with the Vera Rubin NVL72
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Google DeepMind has released Genie 4, a new-generation world model that can turn prompts into explorable, realistic scenes in real time, and for the first time the Genie model itself generates background sounds and music, while characters in the scene can also hold real-time conversations. Users move via the keyboard and use text prompts to modify content in the scene instantly, with the scene remaining coherent across multiple inputs. In the demo, a simulated Apptronik Apollo robot plays checkers, with each move planned by Gemini 4 Argon, pointing to Genie's future use in robot training.
Google DeepMind has released Genie 4, a new-generation world model that can turn prompts into explorable, realistic scenes in real time, and for the first time the Genie model itself generates background sounds and music, while characters in the scene can also hold real-time conversations. Users move via the keyboard and use text prompts to modify content in the scene instantly, with the scene remaining coherent across multiple inputs. In the demo, a simulated Apptronik Apollo robot plays checke
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