# Google Published articles for Google. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Chrome Adds Experimental Metrics to Measure Website Ad Load DevFeed: [Chrome Adds Experimental Metrics to Measure Website Ad Load]() Original publisher: [Read original article]() Author: Alex Harper Published: 2026-09-17T15:00:00Z Content type: article Language: en Sources: [Web Designer Depot]() Topics: [Chrome](), [Web](), [data](), [User Experience](), [Google](), [developer tooling](), [Core Web Vitals]() Tags: [ad-density](), [ad-performance](), [ad-tech](), [advertising](), [chrome](), [chrome-user-experience-report](), [core-web-vitals](), [crux](), [devtools](), [google](), [google-chrome](), [online-advertising](), [page-experience](), [performance](), [publishers](), [user-experience](), [ux](), [ux-usability](), [web-design](), [web-development](), [web-performance](), [website-ads](), [website-optimization](), [website-performance]() ### AI overview Chrome has introduced four experimental metrics to the Chrome User Experience Report (CrUX) that quantify website ad load: ad count, ad density, network weight, and CPU weight. The aggregated data is public and can be accessed through CrUX Vis, APIs, and Chrome DevTools, although availability and evaluation thresholds remain limited. ### Source excerpt Chrome can now measure exactly how obnoxious a website's ads are, from how much of your screen they swallow to how much data and CPU time they burn. Those ad-stuffed websites can finally be measured, and the results are public. ## \[Aug 2026\] AI Community -- Activity Highlights and Achievements DevFeed: [\[Aug 2026\] AI Community -- Activity Highlights and Achievements]() Original publisher: [Read original article]() Author: Nari Yoon Published: 2026-09-17T05:12:15Z Content type: article Language: en Sources: [Google Developer Experts - Medium]() Topics: [Google AI](), [Google](), [google-antigravity](), [Artificial Intelligence](), [MCP Server](), [computer-use](), [Fine-tuning]() Tags: [2026](), [agentic-ai](), [ai](), [ai-coding-agents](), [ai-studio](), [antigravity](), [api](), [automation](), [community](), [computer-use](), [gemini](), [google](), [google-ai](), [google-cloud](), [mcp](), [mcp-server](), [multi-agent](), [ocr](), [paper](), [pitfalls]() ### AI overview A monthly roundup of Google AI community activities and achievements, covering Antigravity prototyping and engineering, AI coding agents, MCP-based remote control, computer-use agent orchestration, earthquake research, and TPU fine-tuning and migration guidance. ### Source excerpt We love sharing the accomplishments of the Google AI communities over the month. We appreciate all the hard work and dedication of our community members. Without further ado, here are the key highlights by products! Agentic DevelopmentAntigravityPrototype App: OCR and Text Extraction by the author Prototyping and Bringing Ideas to Application Using Google AI Studio and Antigravity 2.0 by AI GDE Joan Santoso (Indonesia) shares a rapid prototyping workflow building an AI-powered Form Extractor using the Gemini API, featuring a lightweight OCR and text extraction workflow. Antigravity Engineering Series by GDE Amulya Bhatia (Germany) focuses on key features of Antigravity 2.0 across 10 articles covering topics such as multi-agent orchestration, safety architecture, and workflow automation, accompanied by source code examples. (image soruce) Remote Control for Google Antigravity: Drive Your AI Coding Agent From Telegram 🛰 by GDE Nicola Guglielmi (Italy) introduces an open-source MCP server that turns Telegram into a remote control surface for AI coding agents. Before the Quake: How Antigravity CLI's AI Agents & IoT Data Predict Earthquakes by GDE Kanshi Tanaike (Japan) introduces the paper establishing Unified LAIC-AGW Theory by integrating ultra-dense IoT weather data with seismic moment tensors. It demonstrates a pre-seismic early warning capability by capturing enthalpy anomalies and acoustic-gravity waves. ADKAI GDE Henry Ruiz (US) and AI GDE Margaret Maynard-Reid (US) AI GDE Henry Ruiz (US) and AI GDE Margaret Maynard-Reid (US) introduced UISurf: An Operator-Centric Multi-Agent Platform for Observable and Cross-Environment UI Automation at the Agentic AI Summit 2026. They highlighted how the model-agnostic framework leverages the Google Cloud and Gemini ecosystems, such as GEAP and ADK, to orchestrate and evaluate computer-use agents across web, desktop, and mobile environments. Frameworks and ResearchTPU Introduction to SFT on TPU with Tunix -- 10 pitfalls until 2 ## Samsung Gallery получит синхронизацию с Google Photos DevFeed: [Samsung Gallery получит синхронизацию с Google Photos]() Original publisher: [Read original article]() Author: daniilshat Published: 2026-09-16T20:04:07Z Content type: news Language: ru Sources: [Tagir Valeev]() Topics: [samsung](), [Google](), [Cloud]() Tags: [2026](), [cloud](), [google](), [google-photos](), [microsoft](), [one-ui](), [photos](), [samsung](), [sync](), [tag-37307bce20f9](), [tag-53d931f324ab](), [tag-757d0d281abb](), [tag-d14eb265d33e]() ### AI overview Samsung is preparing to integrate Samsung Gallery with Google Photos, potentially replacing its existing OneDrive synchronization. The feature has appeared in a Galaxy Store update and can be activated by some enthusiasts, but Samsung has not announced a public launch date. ### Source excerpt Samsung готовит интеграцию фирменного приложения "Галерея" с Google Photos. Информацию об этом нашли в обновлении внутреннего сервиса Gallery Cloud Sync. Интеграция заменит собой уже существующую синхронизацию с Microsoft OneDrive. Читать далее ## AI leaders propose embedded third-party evaluators for frontier AI safety DevFeed: [AI leaders propose embedded third-party evaluators for frontier AI safety]() Original publisher: [Read original article]() Author: Adrian Bridgwater Published: 2026-09-16T15:58:41Z Content type: news Language: en Sources: [The New Stack]() Topics: [Job](), [Artificial Intelligence](), [Frontier AI](), [anthropic](), [AI Models]() Tags: [ai](), [ai-infrastructure](), [ai-strategy](), [alignment](), [anthropic](), [developers](), [frontier-ai](), [google](), [job](), [meta](), [openai](), [safety](), [tech-careers]() ### AI overview The article examines Anthropic CEO Dario Amodei's proposal for frontier AI companies to provide embedded third-party evaluators with employee-like access. These evaluators would verify safety practices, report incidents, and assess AI models, training pipelines, and processes. ### Source excerpt The pace of frontier AI model development spurred Anthropic CEO Dario Amodei to publish an essay last weekend, calling for The post AI evaluator: The most important AI job in history? How developers might fill the proposed new job appeared first on The New Stack. ## Google introduces Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking DevFeed: [Google introduces Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking]() Original publisher: [Read original article]() Author: techno\_mot (Selectel) Published: 2026-09-16T13:40:43Z Content type: news Language: ru Sources: [Tagir Valeev]() Topics: [Google](), [speech-to-speech](), [Google AI](), [Artificial Intelligence](), [API]() Tags: [ai](), [api](), [audio](), [gemini](), [google](), [llm](), [realtime](), [selectel](), [speech-to-speech](), [synthid](), [tag-efc6fa45f1fe](), [voice]() ### AI overview Google introduced two native speech-to-speech models: Gemini 3.8 Live, focused on scale and cost, and Gemini 3.8 Live Extended Thinking, designed for multi-step tasks with reasoning during dialogue. The article discusses direct audio processing, asynchronous function calls, visual context, multilingual conversations, SynthID watermarking, pricing, and availability through the Gemini API and Google AI Studio. ### Source excerpt 15 сентября Google представила две нативные speech-to-speech модели, Gemini 3.8 Live и Gemini 3.8 Live Extended Thinking. Первая заточена под масштаб и цену, вторая -- под многошаговые задачи с рассуждением прямо в диалоге. Интереснее баллов то, что голосовые агенты наконец получили признаки продакшен-продукта. Асинхронные вызовы функций, предсказуемая цена, интеграции с тем, на чем такие системы реально собирают. Хочу напомнить, как это делалось раньше. Голосовой бот -- конвейер из трех сервисов. Распознавание речи, языковая модель и синтез. Задержки складываются, а вместе с текстом может потеряться все остальное -- интонация, скорость речи, эмоция, шум на фоне. Модель получает расшифровку и не знает, что собеседник злится. Проблемным было и перебивание. Пока распознавание не закрыло фразу, система вообще не понимает, что ее прервали. Нативная speech-to-speech модель работает с аудио напрямую и снимает оба ограничения разом. Читать далее ## Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers DevFeed: [Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers]() Original publisher: [Read original article]() Author: Josh Parker Published: 2026-09-16T13:00:33Z Content type: news Language: en Sources: [NVIDIA Blog]() Topics: [data centers](), [AI Infrastructure](), [Google](), [Nvidia](), [Artificial Intelligence](), [datacenter](), [benchmarking](), [Requirements]() Tags: [ai](), [ai-data-centers](), [ai-infrastructure](), [capacity](), [corporate](), [data-centers](), [energy](), [google](), [infrastructure](), [launch](), [metrics](), [nvidia](), [performance-metrics](), [requirements](), [resource](), [systems]() ### AI overview Emerald AI, Google and NVIDIA announced the AI Energy Management Alliance, a coalition focused on flexible AI data centers that can dynamically adjust electricity use in response to grid conditions. The article describes technology-neutral, performance-based requirements covering response speed, duration, predictability and emergency behavior. ### Source excerpt AI factories are the infrastructure of the intelligence era. Scaling them responsibly will depend as much on innovation across the grid as inside the data center. Today, Emerald AI, Google and NVIDIA announced the launch of the AI Energy Management Alliance (AEMA), a first-of-its-kind coalition advancing data centers that can dynamically manage their electricity use [...] ## Google's September 2026 Pixel update addresses a modem vulnerability reportedly under limited, targeted exploitation DevFeed: [Google's September 2026 Pixel update addresses a modem vulnerability reportedly under limited, targeted exploitation]() Original publisher: [Read original article]() Author: Pieter Arntz Published: 2026-09-16T10:39:04Z Content type: news Language: en Sources: [Malwarebytes]() Topics: [Google](), [pixel](), [Vulnerabilities](), [Android Security](), [Security & Privacy](), [Mobile]() Tags: [android-security](), [bugs](), [cve-2026-58704](), [google](), [mobile](), [modem](), [news](), [pixel](), [security](), [update](), [vulnerabilities](), [vulnerability]() ### AI overview Google's September 2026 Pixel security update fixes 110 vulnerabilities, including CVE-2026-58704, a high-severity cellular modem permission-bypass flaw that may be under limited, targeted exploitation. Pixel users should install the update and verify that their device shows the September 5, 2026 security patch level or later. ### Source excerpt Google's September Pixel update fixes 110 vulnerabilities, including a modem flaw being used in limited, targeted attacks. ## Minimizing the length of regular expressions, in practice DevFeed: [Minimizing the length of regular expressions, in practice]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-05-23T22:00:00Z Content type: tutorial Language: en Sources: [Khan Academy]() Topics: [Algorithms, Complexity](), [Regular expression](), [Programming](), [cloud-infrastructure]() Tags: [algorithms](), [cdn](), [configuration](), [engineering](), [google](), [hosting](), [infrastructure](), [news](), [re](), [repository](), [software-engineering]() ### AI overview Craig Silverstein explains how Khan Academy needed a compact regular expression to distinguish static URLs from dynamic URLs for CDN routing. The article describes why simple patterns were unsuitable, reports that a naive generated expression reached 402,025 characters, and introduces a second approach that reduced the length to 2,400 characters. ### Source excerpt By Craig Silverstein The problem Software engineering interviews tend to be full of "algorithms" questions, because they're easy ... Read more ## The User Write Lock: an Alternative to Transactions for Google App Engine DevFeed: [The User Write Lock: an Alternative to Transactions for Google App Engine]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-06-20T22:00:00Z Content type: tutorial Language: en Sources: [Khan Academy]() Topics: [Transactions](), [Databases](), [Google]() Tags: [caching](), [databases](), [engineering](), [google](), [infrastructure](), [news](), [processes](), [retry](), [transactions]() ### AI overview This developer article explains how transactions in Google App Engine's datastore provide atomicity for single-entity and multi-entity writes, but can introduce frozen datastore state, retries, idempotence requirements, and restrictions on datastore queries. It presents the User Write Lock as an alternative, although the supplied text ends before describing that alternative. ### Source excerpt By Craig Silverstein Transactions are the standard method in Google App Engine's datastore -- as in many databases ... Read more ## Ensuring transaction-safety in Google App Engine DevFeed: [Ensuring transaction-safety in Google App Engine]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-06-27T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Transactions](), [Databases](), [Code](), [Google]() Tags: [cache](), [code](), [database](), [engineering](), [google](), [hooks](), [infrastructure](), [news](), [tracing](), [transactions]() ### AI overview The article explains how Khan Academy uses transactions and user-write locks with Google App Engine to prevent database corruption caused by concurrent requests overwriting one another. It describes hooks that detect transaction-safety violations and highlights caching and code-path mistakes that can cause stale data to be used inside transactions. ### Source excerpt By Craig Silverstein In last week's exciting post, I described an alternative to transactions that we use at ... Read more ## A Case for Time Tracking: Data Driven Time-Management DevFeed: [A Case for Time Tracking: Data Driven Time-Management]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-08-08T22:00:00Z Content type: opinion Language: en Sources: [Khan Academy]() Topics: [Google Calendar](), [data](), [Development](), [Tech Lead]() Tags: [data](), [developer](), [engineering](), [google](), [news](), [tech-lead](), [time-management](), [time-tracking](), [web-frontend]() ### AI overview The author describes tracking all work activities as personal Google Calendar events. They argue that the resulting data provides a clearer view of how time is spent and helps inform decisions, productivity, and confidence about work. ### Source excerpt By Oliver Northwood Tl;dr: Time-tracking everything I do in Google Calendar has made me happier, more productive, and ... Read more ## Kotlin on the server at Khan Academy DevFeed: [Kotlin on the server at Khan Academy]() Original publisher: [Read original article]() Author: Khan Academy Published: 2018-06-28T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Kotlin](), [backend-development](), [Python](), [Google]() Tags: [api](), [bigquery](), [blog-post](), [developer-experience](), [engineering](), [google](), [http](), [infrastructure](), [java](), [kotlin](), [news](), [python](), [server-side-development]() ### AI overview Khan Academy describes testing Kotlin for user-facing server requests during a 2018 hackathon and deciding to adopt Kotlin as a second server-side language after reporting positive efficiency results and a positive developer experience. ### Source excerpt By Colin Fuller At Khan Academy, we run our web application using Python 2.7 on Google's App Engine ... Read more ## Linux 7.4 slated to merge AVX-512 optimization for xor\_gen() DevFeed: [Linux 7.4 slated to merge AVX-512 optimization for xor\_gen()]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-16T00:53:15Z Content type: news Language: en Sources: [Phoronix]() Topics: [Linux](), [Kernel](), [patches](), [Code](), [cpu](), [intel](), [Google]() Tags: [amd](), [cpu](), [desktop-linux](), [google](), [intel](), [kernel](), [linux](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-kernel](), [linux-performance](), [linux-server-benchmarks](), [open-source-graphics](), [patches](), [phoronix](), [phoronix-test-suite](), [server-cpus](), [ubuntu-benchmarks](), [ubuntu-hardware](), [xor]() ### AI overview Linux 7.4 is slated to merge an AVX-512 optimization for xor_gen(), a function used by Linux software RAID to generate and validate parity blocks for RAID5 and RAID6. The patches report performance gains on AMD Zen 4 and newer CPUs and current Intel server CPUs with AVX-512, subject to final merge-window changes. ### Source excerpt Over the past few months there have been patches floating around for an AVX-512 optimized xor_gen() for the Linux kernel for that functuon used by the Linux software RAID code. It's been shhowing very nice performance gains with this function being used for generating and validating parity blocks such as for RAID5 and RAID6. The upcoming Linux 7.4 cycle is slated to merge this nice enhancement for benefiting AMD Zen 4 and newer or current Intel server CPUs with AVX-512... ## Google tag gateway: Now on Webflow DevFeed: [Google tag gateway: Now on Webflow]() Original publisher: [Read original article]() Author: Webflow Team Published: 2026-09-16T00:00:00Z Content type: release Language: en Sources: [Webflow Blog]() Topics: [gateway](), [webflow](), [Google](), [Confidential Computing](), [data](), [configuration](), [Deployment]() Tags: [confidential-computing](), [configuration](), [conversion](), [data](), [deployment](), [development](), [gateway](), [google](), [measurement](), [webflow]() ### AI overview Webflow announces Google tag gateway, which routes conversion data through a site's first-party infrastructure. Existing native Google tag integration users can activate it by republishing their site, while new users can follow a code-free setup workflow. ### Source excerpt When you build on Webflow, you're creating experiences designed to help your business stand out and grow. Underpinning those experiences with a strong measurement foundation can help you understand what's driving results and make more informed marketing decisions. Now, Webflow makes it easier to strengthen your measurement foundation. ## Gemini Live audio DevFeed: [Gemini Live audio]() Original publisher: [Read original article]() Author: Simon Willison Published: 2026-09-15T22:47:07Z Content type: tutorial Language: en Sources: [Simon Willison's Weblog]() Topics: [speech-to-speech](), [WebSocket](), [Google AI](), [browser](), [Playback](), [implementation](), [API]() Tags: [api](), [audio](), [browser](), [gemini](), [gemini-196](), [generative-ai](), [generative-ai-1-982](), [google](), [google-416](), [llm-release](), [llm-release-231](), [llms](), [llms-1-948](), [model](), [models](), [openai](), [playback](), [release](), [speech-to-speech](), [speech-to-text](), [speech-to-text-21](), [tools](), [tools-78](), [ui](), [voice](), [websocket](), [websockets](), [websockets-21]() ### AI overview The article describes a browser-based web UI for trying Google's Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking speech-to-speech models. The implementation supports model and voice selection, an optional system prompt, voice conversations, and interruption while the model is speaking. It uses no libraries, connecting to a WebSocket endpoint and using the Web Audio API for capture and playback. ### Source excerpt Tool: Gemini Live audio Google released Gemini 3.8 Live and 3.8 Live Extended Thinking today - two new speech-to-speech models that are a similar shape to OpenAI's GPT-Live family. I pointed GPT-6 Astra Extra High at the documentation and had it build me this web UI for trying out the new models. You can select a model and voice preset, enter an optional system prompt and then start a voice conversation through your browser, including the ability to interrupt the model while it is talking. The implementation uses no libraries. It connects to the wss://generativelanguage.googleapis.com/ws/google.ai.generativelanguage.v1alpha.GenerativeService.BidiGenerateContent?key=... WebSocket endpoint and uses a Web Audio API AudioContext for both capture and playback. Here's the Gemini Live tutorial for getting started with that WebSockets API. Tags: google, tools, websockets, generative-ai, llms, gemini, llm-release, speech-to-text ## Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train DevFeed: [Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train]() Original publisher: [Read original article]() Published: 2026-09-15T20:00:35Z Content type: article Language: en Sources: [The latest research from Google]() Topics: [AI search](), [Reinforcement learning](), [Artificial Intelligence](), [Google](), [LLMs](), [Algorithms & Theory]() Tags: [ai](), [ai-search](), [algorithms-theory](), [data-mining-modeling](), [diffusion](), [generative-ai](), [google](), [icml](), [icml-2026](), [reinforcement-learning](), [research](), [retrieval](), [rl](), [search]() ### AI overview Google Research presents Retrieve-for-Train, a framework that uses offline reinforcement learning to compile reward-aligned query fan-outs into training data for a lightweight diffusion retriever. The approach is intended to produce diverse, complementary, and coherent search-result sets in a single inference pass, reducing reliance on expensive inference-time reasoning. ### Source excerpt Algorithms & Theory ## Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking DevFeed: [Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking]() Original publisher: [Read original article]() Author: Tom Ouyang Published: 2026-09-15T17:05:57Z Content type: release Language: en Sources: [Google DeepMind News]() Topics: [Artificial Intelligence](), [real-time](), [speech-to-speech](), [Google](), [API]() Tags: [ai](), [api](), [audio](), [cost](), [efficiency](), [gemini](), [google](), [none](), [real-time](), [speech-to-speech](), [tools]() ### AI overview Google introduces Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, two models designed for near-real-time voice interaction and reasoning. The release describes visual grounding, multilingual conversation, background tool and API execution, and deeper reasoning for complex workflows. ### Source excerpt Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking are our most advanced live dialogue models yet, built for natural conversation. ## Cloudflare adds controls to allow search indexing while disallowing AI training DevFeed: [Cloudflare adds controls to allow search indexing while disallowing AI training]() Original publisher: [Read original article]() Author: Bryan Becker Published: 2026-09-15T13:00:00Z Content type: release Language: en Sources: [Cloudflare Blog]() Topics: [Cloudflare](), [Artificial Intelligence](), [Crawler](), [Google](), [Microsoft]() Tags: [ai](), [ai-bots](), [blocking](), [bot-management](), [bots](), [cloudflare](), [content](), [google](), [internet](), [microsoft](), [network-services](), [product-news](), [search](), [security]() ### AI overview Cloudflare announces a Disallow AI Training setting that lets website owners remain indexed in search while refusing AI training by mixed-use crawlers. Apple, Google, and Microsoft honor or have committed to honor the setting. ### Source excerpt Cloudflare is giving site owners a way to stay discoverable while disallowing AI training. New controls and an Accountable designation establish a shared model with Apple, Google, and Microsoft. ## Switching from Microsoft 365 to Google is unlikely to deliver significant savings, Gartner says DevFeed: [Switching from Microsoft 365 to Google is unlikely to deliver significant savings, Gartner says]() Original publisher: [Read original article]() Author: Simon Sharwood Published: 2026-09-15T07:23:34Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Google](), [Microsoft](), [Cloud]() Tags: [ai-and-ml](), [alternatives](), [cloud](), [copilot](), [gartner](), [gemini](), [google](), [google-workspace](), [microsoft](), [microsoft-365](), [saas]() ### AI overview The article reports that organizations switching from Microsoft 365 to Google are unlikely to save much money, according to Gartner. ### Source excerpt Nor are you likely to save much by making the move, says Gartner ## New in Symfony 8.2: KeyManagement Component DevFeed: [New in Symfony 8.2: KeyManagement Component]() Original publisher: [Read original article]() Author: Javier Eguiluz Published: 2026-09-15T07:11:00Z Content type: release Language: en Sources: [Symfony Blog]() Topics: [Symfony](), [Encryption](), [Amazon Web Services](), [Azure](), [Google]() Tags: [2026](), [api](), [article](), [aws](), [azure](), [backend](), [encryption](), [features](), [google](), [hashicorp-vault](), [kms](), [new-features](), [openssl](), [sdk](), [symfony]() ### AI overview Symfony 8.2 introduces an experimental KeyManagement component that provides one API for AWS KMS, Azure Key Vault, Google Cloud KMS, and HashiCorp Vault. It supports direct and envelope encryption, local development backends, provider bridges, console commands, debug-toolbar integration, and Doctrine support. ### Source excerpt This is the first article in a series showcasing the most important new features introduced by Symfony 8.2, which will be released at the end of November 2026. Contributed... ## About DevFeed: [About]() Original publisher: [Read original article]() Author: Kaushik Gopal Published: 2026-09-15T04:00:36.743345Z Content type: article Language: en Sources: [Kaushik Gopal's Site]() Topics: [Development](), [Android](), [Hugo](), [Google](), [Azure]() Tags: [android](), [developer](), [development](), [github](), [google](), [hugo](), [podcast](), [talks]() ### AI overview An about page for Kaushik Gopal, an Android-focused Google Developer Expert and Principal Engineer at Instacart. It highlights his podcast, talks, developer posts, and work on Caper smart carts and AI strategy, along with the Hugo theme used to build the site. ### Source excerpt Hi, I'm Kaushik Gopal. I host Fragmented an AI developer podcast and previously the most popular Android developer podcast. I'm also a Google Developer Expert for Android. I work as a Principal Engineer at Instacart leading the development of our Caper smart carts and assist with AI strategies for the company. #work podcast talks github contact #blog posts newsletter RSS #social bluesky linkedin threads twitter mastodon Talks ## 2019-10 Architecting Android and iOS app features for 2020 2018-09 Unidirectional State Flow patterns - a refactoring story 2018-05 Supercharging your workflow with App Center and Azure 2017-07 Rx by example - Volume 3 (the multicast edition) 2016-11 What I learnt using the Presenter pattern 2016-11 Learning Rx by Example (Part 2) 2015-08 Painless UI Testing 2015-06 Learning Rx by Example (Part 1) Colophon ## This site is built entirely with the custom Hugo theme I maintain called Henry. I have put thought into almost every inch of this website and released the theme free for everyone to use. Curious about the tools I use day-to-day? I keep a running list. Want to reach out? I'd love to hear from you. ## AI DevFeed: [AI]() Original publisher: [Read original article]() Published: 2026-09-15T02:59:12.316196Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [Artificial Intelligence](), [AI Agent](), [Security](), [Google](), [Protocol (disambiguation)](), [Databases](), [CockroachDB]() Tags: [2026](), [agents](), [ai](), [cockroachdb](), [databases](), [google](), [security](), [vector-search]() ### AI overview An AI-focused Cockroach Labs blog category page listing articles about agent-to-agent communication, AI agent security, database isolation, compliance, resilience, identity, vector search, operations automation, and durable execution with CockroachDB. ### Source excerpt Blog ai A2A Is Now an Open Standard. The Data Layer Underneath It Isn't. In April 2025, Google released a protocol for agent-to-agent communication. Within three months, Google had donated it to the Linux Foundation... Quentin Packard August 19, 2026 Multi-Tenant AI Agents: Why Data Isolation Starts at the Database Most SaaS teams shipping agentic features focus on prompt safety and API-layer filtering. But effective AI agent security also depends on... ## Gemini 3.8 Live models now available on AI Gateway DevFeed: [Gemini 3.8 Live models now available on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-09-15T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [real-time](), [Artificial Intelligence](), [API](), [Google](), [WebSocket](), [SDKs]() Tags: [ai](), [api](), [cost](), [failover](), [gemini](), [google](), [real-time](), [realtime](), [sdk](), [websocket]() ### AI overview Vercel announces that Google's Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking models are available on AI Gateway. The models support real-time spoken interactions, audio and visual grounding, multilingual switching, background tool calls, and parallel reasoning through the AI SDK's realtime API. ### Source excerpt Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking from Google are now available on AI Gateway. Both models support real-time spoken interactions for voice assistants, conversational experiences, and applications that respond through audio. google/gemini-3.8-live supports real-time audio, visual grounding, automatic switching across 97 languages, and background tool calls while the conversation continues. google/gemini-3.8-live-extended-thinking adds multi-step reasoning that runs in parallel with speech, allowing it to acknowledge requests and narrate progress without interrupting the conversation. Use either model through the AI SDK's realtime API. Install the Gateway provider and a WebSocket client: Mint a short-lived token, open the WebSocket, and use the model adapter to serialize and parse realtime events: See the realtime quickstart for more details on realtime events and WebSocket connections. Try Gemini 3.8 Live or Gemini 3.8 Live Extended Thinking in the model playground. AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. Read more ## 🎙 How I AI: How two SpaceXAI designers use Grok Bot to do their jobs DevFeed: [🎙 How I AI: How two SpaceXAI designers use Grok Bot to do their jobs]() Original publisher: [Read original article]() Author: Lenny Rachitsky Published: 2026-09-14T15:03:48Z Content type: article Language: en Sources: [Lenny's Newsletter]() Topics: [Artificial Intelligence](), [Bot](), [Figma](), [Model Context Protocol (MCP)](), [Google]() Tags: [agents](), [ai](), [ai-agents](), [designers](), [figma](), [google](), [mcp](), [podcast]() ### AI overview This podcast episode features SpaceXAI designers John Bai and Peng Zheng describing how they use Grok Bot and AI agents in their design work. Peng demonstrates a self-updating personal site whose workflow handles location lookup, custom 3D artwork, and publishing. John describes using voice memos, Figma, and an MCP connection to create design assets and prototypes. ### Source excerpt Your weekly listens from How I AI, part of the Lenny's Podcast Network [Next page]()