#Google

AIStarting October 9, free Google Gemini users will only have access to the Flash-Lite model, and AI Plus subscribers will lose Pro access. Google is also moving to compute-based limits that refresh every five hours, with higher limits for paid plans. The AI Pro plan at $20 per month will gain access to the Deep Think reasoning mode.

AIGoogle researchers, working with Northwestern Medicine and Jacaranda Health, trained healthcare workers to perform "blind sweep" ultrasounds analyzed by machine learning models. The models estimated gestational age and fetal presentation as accurately as a trained sonographer in a study of 1,000 mothers each in Nairobi and Chicago. The AI processes results on the device, so it needs no electricity supply or Wi-Fi.

AIReplicate is offering Google's nano-banana-2.1 model for users to try today. The post links directly to the model's page on replicate.com.

AIAnthropic's Claude can now open Google Docs, Sheets, and Slides beside the chat, either from a pasted Google file link or a request for a new file, so users and Claude can edit together. Access follows existing Google sharing permissions. The feature is in beta on all paid plans.

AIGoogle's Gemini Nano Banana 2.1 image model is available on fal from day zero, according to Paige Bailey's post thanking fal. The fal background adds that it generates significantly faster than Nano Banana 2 and improves visual design, mask-based editing, and subject consistency.

AIGoogle's EmbeddingGemma 2 is an open embeddings model for on-device use that covers code, image, video, audio, and text. It comes in modular sizes from 270M text/code to 740M full multimodal, supports Matryoshka truncation down to 128 dimensions, and reports a 14% gain on MTEB Code over v1 under an Apache 2.0 license. The author's post highlights the release and a Hugging Face demo, while the benchmark table compares it with several models.

AIGoogle's Nano Banana 2.1, model gemini-nano-banana-2.1, is now available and is said to outperform the previous Pro model at about a quarter of the price, $0.034 per image versus $0.134. The quoted post lists improved instruction following, better in-image text rendering, grounding with Google Image Search, and up to 5 characters of consistency plus 14 reference images. It is available in Google AI Studio, the Gemini API, Google Cloud, the Gemini app, and Flow. The author's own post is a playful reaction praising its design ability and shows a generated vegan basketball food truck poster.

AIGoogle released EmbeddingGemma 2, a 740M-parameter open embedding model under Apache 2.0 that combines a 270M text model with vision (170M) and audio (300M) encoders. The 270M text model can run locally with 0.5GB of RAM, and the full multimodal model with 1GB, and Unsloth provides GGUF files and fine-tuning support.

AIGoogle has made EmbeddingGemma 2 available to download on Hugging Face and Kaggle. Availability in the Gemini Enterprise Agent Platform Model Garden is coming soon.

AIGoogle's EmbeddingGemma 2 is a 740M-parameter embedding model that outperforms some models more than twice its size while using about 191MB to 567MB of active RAM. It offers an 8K context window, 4x larger than the first generation, and can process up to 5.5 minutes of audio, 29 images, or 58 video frames in one pass.

AIGoogle says EmbeddingGemma 2, paired with Gemma 4, enables efficient on-device retrieval-augmented generation with a lower memory footprint. In this setup, EmbeddingGemma 2 retrieves local files and Gemma 4 reasons over them to produce grounded answers while keeping data private.

AIGoogle has released Nano Banana 2.1, its latest image generation and editing model, which it says outperforms previous versions with gains in visual design, mask-based editing, and subject consistency. Paige Bailey shared a pug smile example made with the model and invited users to try it in Google AI Studio.

AIGoogle's Nano Banana 2.1 (gemini-nano-banana-2.1) is now available and outperforms the previous Pro model at $0.034 per image, versus $0.134 before. It adds improved instruction following, better in-image text rendering, grounding with Google Image Search, and consistency for up to 5 characters with 14 reference images. It is available in Google AI Studio, the Gemini API, Google Cloud, the Gemini app, and Flow by Google.

AIfal announced that Google's Nano Banana 2.1 model is available today for text-to-image generation and image editing. Links to both model pages on fal.ai were provided.

AIGoogle's Gemini Nano Banana 2.1 is now available on fal, offering significantly faster generation than Nano Banana 2. The model adds major gains in visual design, mask-based editing, and subject consistency.

AIGoogle has released EmbeddingGemma 2, a compact 740M-parameter model built for on-device and edge applications. It natively embeds text, images, audio, and video into one shared space, enabling cross-format search without manual organization, translation, or labeling.

AIGoogle has released the weights for EmbeddingGemma 2 on Hugging Face and Kaggle. The release includes out-of-the-box support for LiteRT, MediaPipe, LangChain, and LlamaIndex.

AIGoogle's new multimodal embedding setup processes image, audio, and video entirely offline with zero server calls. Its modular design lets developers drop unused vision and audio components to save memory, and flexible dimension sizes cut local database storage by up to 6x. It can also pair with Gemma 4 to build RAG pipelines with minimal memory and processing requirements.

AIGoogle DeepMind released EmbeddingGemma 2, a 740M-parameter embedding model, under an Apache 2.0 license. The post says it is competitive across benchmarks and outperforms some specialist models more than twice its size, and that developers can use it for multimodal search or pair it with Gemma 4 for on-device RAG. Weights are available on Hugging Face and Kaggle.

AIGoogle DeepMind introduced EmbeddingGemma 2, its first natively multimodal open model for on-device embeddings. The model expands beyond text to unify code, images, audio, and video in a shared embedding space.

AIGoogle introduces EmbeddingGemma 2, its first open, natively multimodal embedding model, covering text, code, image, video, and audio tasks. It has a 740M parameter form factor, is positioned for offline, privacy-first RAG when paired with Gemma 4, and the post claims it outperforms some specialist models more than twice its size. Weights are available now on Hugging Face.

AIGoogle AI Studio introduced Nano Banana 2.1, an image generation model that Google says outperforms its previous models across the board. The update highlights better visual design, mask-based editing, subject consistency, and more natural-looking images. It is available to try today in AI Studio.

AIGoogle Flow Music lets creators build custom instruments or effects from natural language, and Spaces can now be exported as VST3/AU plugins. These plugins run inside producers' Digital Audio Workstations, so tools can fit existing production workflows. The source gives producer Khris Riddick-Tynes's "No Chaser" plugin as an example for checking instrumentals and vocals.

AIGoogle DeepMind has released EmbeddingGemma 2, a 740-million-parameter embedding model that maps text, images, audio, and video into a shared space and runs on local hardware under an Apache 2.0 license. Matryoshka Representation Learning lets developers truncate output vectors from 768 dimensions to 512, 256, or 128, and the model supports an 8K-token context window. The model weights are available on Hugging Face and Kaggle, with Gemini Enterprise Agent Platform availability coming soon.

Why it matters: The release shows how a 740M-parameter multimodal embedder runs locally with a 768-to-128 dimension truncation option, useful for judging on-device retrieval designs.

AIGoogle has released Nano Banana 2.1, an image generation and editing model on its Flash tier that succeeds Nano Banana 2 and Nano Banana Pro. The source says it improves product recontextualization, though the excerpt provides no further details on benchmarks, pricing, or availability.

AIGoogle, as a Diamond Sponsor of COLM 2026, will have researchers from Google Research and Google DeepMind present 28 papers and participate in 16 workshops at the Hilton Union Square in San Francisco from October 6–9. Attendees can visit Google booth #107 to explore work on agentic systems, reasoning, and multimodal AI.

AIGoogle has five products in a16z's top 50 consumer AI web apps, with the Gemini app at #2, NotebookLM at #9, Google AI Studio at #11, Google Labs at #18, and Antigravity at #44. Paige Bailey highlights Google AI Studio, a developer workbench, reaching the overall consumer top ten. Steven B. Johnson notes Google is the only company with two products in the top ten and four in the top twenty.

AIGoogle Research shares results from five partner-driven case studies showing how Google Earth AI's Population Dynamics Foundation Model addresses public health data gaps. The post frames the work as empowering global health research, with details available in the linked blog.

AIGoogle Research reports that Population Dynamics Foundation Model (PDFM) embeddings, built from search trends, mobility, built environment, and weather signals, were tested by partners across five public health tasks. The embeddings improved results in cross-border MMR vaccination coverage, dengue forecasting, postpartum depression screening, and cholera outbreak prediction, and matched census inputs for cardiovascular mortality nowcasting.

AIClaude for Google Workspace is in public beta on all paid Claude plans, adding a sidebar to Google Docs, Sheets, and Slides. It can read the open file, edit text, build formulas, pivot tables, charts, and slides, and it asks for approval before changes unless the user chooses "Accept all edits." New Docs, Sheets, and Slides connectors in beta let Claude create and edit Google files from the chat, with access matching existing Google sharing permissions.

Why it matters: The source specifies how Claude edits Docs, Sheets, and Slides in place and where users keep control, which clarifies the practical workflow change.

AIGoogle has made Gemini Nano Banana 2.1, identified as gemini-nano-banana-2.1, generally available as an image generation and conversational editing model. It improves visual quality, prompt adherence, multi-turn character consistency, and text rendering, and adds panoramic aspect ratios such as 1:4, 4:1, 1:8, and 8:1 at 1K, 2K, and 4K resolutions. The gemini-3.1-flash-image model is deprecated with no shutdown date announced, and developers are told to migrate to the new model.

AIGoogle released EmbeddingGemma 2, an open embedding model under the Apache 2.0 license that maps text, code, images, video, and audio into a shared 768-dimensional space. Developers can load a 270M-parameter text and code setup, or add vision and audio encoders up to a 740M-parameter full multimodal model. Matryoshka truncation to 256 or 128 dimensions reduces vector storage, with the guide noting quality losses on image, video, and speech retrieval at lower dimensions.

Why it matters: The guide gives concrete encoder sizes and dimension-storage tradeoffs, showing how to choose a configuration for text, code, image, video, and audio retrieval.

AIGoogle DeepMind launched EmbeddingGemma 2, an open-weight 740M parameter model that maps text, images, video frames, and audio into one vector space. The model can run on-device, with about 567MB active RAM for the full multimodal model on a Google Pixel 11 Pro, and is available through Google AI Edge Gallery, Google AI Edge Foresight on Mac, and MediaPipe Tasks, with ML Kit support coming in the weeks ahead.

Why it matters: The post names concrete on-device apps, memory footprints, and latency figures, showing how a multimodal embedding model can power local search without cloud calls.

AIGoogle has been accused of clearing 300 hectares of Finnish forest for an AI data center before an environmental-impact assessment was finished, according to the Finnish Association for Nature Conservation. Critics also say Microsoft's wetland and garden restoration around its Texas data centers masks their effects, with Public Citizen calling the plan "lipstick on a pig" and noting the sites would draw power from gas plants. Microsoft's own estimates show its emissions rose 25% in 2025, driven mainly by data center expansion.

AIGoogle Research released a workshop report, "Open and Emergent Problems in Agentic Privacy and Security: A Contextual Angle," compiled by more than 50 academic and industry leaders from the Google Contextual Agent Privacy and Security (CAPS) Workshop held in late 2025 in New York City.

AIGoogle for Developers highlights Art Codec, an interactive web experience built by @soumyadesign in Google AI Studio. It lets users explore classic masterpieces through dynamic hotspots, motifs, and visual techniques.

AIMatthew Tait built a Chrome extension that listens to students reading aloud and delivers instant phoneme-level pronunciation diagnostics. The tool is aimed at supporting reading comprehension. The post was shared by Google for Developers in reply to Antigravity.

AIDeveloper @mwjoffe combined Antigravity with Lyria RealTime to create a 3D meadow in the browser that generates its adaptive soundtrack live. The demo showcases dynamic game audio, with music generated in real time as users interact with the scene.

AIGoogle is highlighting internal experiments and builds that its teams created using Gemini models, including interactive 3D worlds and real-time speech tools. The post is a short thread teaser that previews several favorite projects without giving specific technical details.

AILiving Models paired Google's Gemma 4 with BOTANIC-1, a plant-DNA-trained AI, to identify the mutations behind crop traits. In one melon-yield test, the pipeline ranked the target mutation first among 2,494 candidates in under four minutes. The approach aims to speed development of climate-resilient crops that traditionally take years of field trials.