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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. 25, 2025 / AI

    Continuing to bring you our latest models, with an improved Gemini 2.5 Flash and Flash-Lite release

    Google is releasing updated Gemini 2.5 Flash and Flash-Lite preview models with improved quality, speed, and efficiency. These releases introduce a "-latest" alias for easy access to the newest versions, allowing developers to test and provide feedback to shape future stable releases.

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  • SEPT. 24, 2025 / Cloud

    Google Colab Adds More Back to School Improvements!

    The new Colab features simplify and enhance notebook-based class materials. Instructors can now freeze runtime versions, and seamlessly present and copy notebooks. This improves reproducibility, stability, and shareability, making Colab ideal for researchers, educators, and developers. Slideshow mode and URL linking are also enhanced.

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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. 22, 2025 / AI

    Gemini CLI 🤝 FastMCP: Simplifying MCP server development

    Gemini CLI now seamlessly integrates with FastMCP, Python's leading library for building MCP servers. We’re thrilled to announce this integration between two open-source projects that empowers you to effortlessly connect your custom MCP tools and prompts, directly to Gemini CLI!

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  • SEPT. 10, 2025 / AI

    Gemini Batch API now supports Embeddings and OpenAI Compatibility

    Gemini Batch API now supports Embeddings and OpenAI compatibility, allowing asynchronous processing at 50% lower rates. The new Gemini Embedding Model can be leveraged with the Batch API for cost-sensitive use cases. OpenAI SDK compatibility simplifies switching to Gemini Batch API.

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  • SEPT. 10, 2025 / AI

    Announcing Genkit Go 1.0 and Enhanced AI-Assisted Development

    We are launching 1.0 stable release of Genkit Go, empowering Go developers to build performant, production-ready AI-powered applications with Genkit. Recent enhancements include support for integrating and building MCP tools, expanding third-party model provider support, and production AI monitoring with Firebase. Additionally, we are announcing a new feature in the Genkit CLI to provide AI development tools, like the Gemini CLI and Cursor, with the latest knowledge of Genkit - supercharging Genkit development experience when using AI assistance.

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  • SEPT. 8, 2025 / AI

    Veo 3 and Veo 3 Fast – new pricing, new configurations and better resolution

    Today's Veo updates include support for vertical format (9:16) and 1080p HD outputs, along with new, lower pricing for Veo 3 ($0.40/second) and Veo 3 Fast ($0.15/second). These models are now stable for production use in the Gemini API. The MediaSim demo app showcases how Gemini's multimodal capabilities combine with Veo 3 for media simulations.

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  • SEPT. 5, 2025 / Mobile

    Google AI Edge Gallery: Now with audio and on Google Play

    Google AI Edge has expanded the Gemma 3n preview to include audio support. Users can play with it on their own mobile phone using the Google AI Edge Gallery, which is now available in Open Beta on Play Store.

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  • SEPT. 4, 2025 / Gemma

    Introducing EmbeddingGemma: The Best-in-Class Open Model for On-Device Embeddings

    Introducing EmbeddingGemma: a new embedding model designed for efficient on-device AI applications from Google. This open model is the highest-ranking text-only multilingual embedding model under 500M parameters on the MTEB benchmark, enabling powerful features like RAG and semantic search directly on mobile devices without an internet connection.

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