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  • NOV. 18, 2025 / AI

    5 things to try with Gemini 3 Pro in Gemini CLI

    Gemini 3 Pro is now integrated into Gemini CLI, unlocking state-of-the-art reasoning, agentic coding, and advanced tool use for enhanced developer productivity. It's available now for Google AI Ultra and paid Gemini API key subscribers (upgrade CLI to 0.16.x). Features include generating 3D apps and code from visual sketches, running complex shell commands, creating documentation, and debugging live Cloud Run services.

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  • OCT. 15, 2025 / AI

    Introducing Veo 3.1 and new creative capabilities in the Gemini API

    Google is releasing Veo 3.1 and Veo 3.1 Fast, an updated video generation model, in paid preview via the Gemini API. This version offers richer native audio, greater narrative control, and enhanced image-to-video capabilities. New features include guiding generation with reference images, extending existing Veo videos, and generating transitions between frames. Companies like Promise Studios, Latitude, and Whering are already using Veo 3.1 for various applications.

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  • OCT. 8, 2025 / AI

    Announcing the Genkit Extension for Gemini CLI

    The new Genkit Extension for Gemini CLI gives the command line deep knowledge of Genkit's architecture. It helps you build, debug, and iterate on AI apps with intelligent code generation, context-aware assistance, and tools to run flows and analyze traces directly from your terminal.

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  • OCT. 8, 2025 / Web

    Own your AI: Learn how to fine-tune Gemma 3 270M and run it on-device

    This guide shows you how to fine-tune the Gemma 3 270M model for custom tasks, like an emoji translator. Learn to quantize and convert the model for on-device use, deploying it in a web app with MediaPipe or Transformers.js for a fast, private, and offline-capable user experience.

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  • OCT. 2, 2025 / AI

    Gemini 2.5 Flash Image now ready for production with new aspect ratios

    Our state-of-the-art image generation and editing model which has captured the imagination of the wo...

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  • OCT. 1, 2025 / AI

    Gemini for Home: Expanding the Platform for a New Era of Smart Home AI

    Google Home is enabling new Gemini-powered features for our partners’ devices and launching a new program to help them build the next generation of AI cameras.

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  • SEPT. 26, 2025 / AI

    Your AI is now a local expert: Grounding with Google Maps is now GA

    Grounding with Google Maps in Vertex AI is now generally available, helping developers build factual and reliable generative AI applications connected to real-world, up-to-date information from Google Maps. This unlocks better, more personal results and is useful across industries like travel, real estate, devices, and social media.

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  • SEPT. 25, 2025 / AI

    Building the Next Generation of Physical Agents with Gemini Robotics-ER 1.5

    Gemini Robotics-ER 1.5, now available to developers, is a state-of-the-art embodied reasoning model for robots. It excels in visual, spatial understanding, task planning, and progress estimation, allowing robots to perform complex, multi-step tasks.

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  • SEPT. 24, 2025 / Mobile

    On-device GenAI in Chrome, Chromebook Plus, and Pixel Watch with LiteRT-LM

    Google AI Edge provides the tools to run AI features on-device, and its new LiteRT-LM runtime is a significant leap forward for generative AI. LiteRT-LM is an open-source C++ API, cross-platform compatibility, and hardware acceleration designed to efficiently run large language models like Gemma and Gemini Nano across a vast range of hardware. Its key innovation is a flexible, modular architecture that can scale to power complex, multi-task features in Chrome and Chromebook Plus, while also being lean enough for resource-constrained devices like the Pixel Watch. This versatility is already enabling a new wave of on-device generative AI, bringing capabilities like WebAI and smart replies to users.

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  • SEPT. 24, 2025 / AI

    Introducing the Data Commons Model Context Protocol (MCP) Server: Streamlining Public Data Access for AI Developers

    Data Commons announces the availability of its MCP Server, which is a major milestone in making all of Data Commons’ vast public datasets instantly accessible and actionable for AI developers worldwide.

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