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Thomas Wolf@Thom_WolfAI score22AIThomas Wolf's post is a short, playful reply: "how do you like them convolutions," apparently referencing Ben Affleck's comments on convolutional neural networks. The quoted context reports Affleck describing his Python scripting, understanding of CNNs and tensors, GPU work, and private looks at Google and OpenAI's video models.
will depue@willdepueAI score62AIA post by Will DePue titled "Fable 5.1's list" presents 100 mathematical results and says 59% were released today, 87% AI and 13% human. The list includes items attributed to OpenAI, Anthropic, Google DeepMind and human mathematicians, each marked by a colored indicator, and it describes many entries as formalized in Lean or as openai/math family numbers. The post supplies no independent verification of these claims.
indigo@indigoxAI score29AIindigo (@indigox) says Claude now works directly inside Google Docs, Sheets, and Slides, a feature they had been waiting for. They contrast this with Gemini's integration in Google's own apps, which they call a waste.
Ado@adocompleteAI score62AIand those files can also open inside Claude. In Google Workspace, Claude appears in a sidebar next to the open file, reads its contents, and edits it in place, with the option to approve each edit before it is applied.
Google Antigravity@antigravityAI score18AIGoogle Antigravity is promoting its platform, urging users to start building in Antigravity now via a link to antigravity.google. The post gives no further details about features, pricing, or availability.
Google Antigravity@antigravityAI score36AIGoogle's Antigravity agent can take an Android app from prompt to a real device, using the Stitch MCP and Android CLI plugin. The agent pulls designs, builds native Jetpack Compose components, verifies them in the emulator, and runs the final build on a physical phone.
fal@falAI score13AIfal announced that Google's Nano Banana 2.1 is available today on its platform for both text-to-image generation and image editing. The post links separate pages for each mode but gives no benchmark, pricing, or capability details.
fal@falAI score35AIGoogle's newest image model, Nano Banana 2.1, is now available on fal. The post says it brings faster generation, better subject consistency, improved visual design, and mask-based editing.
Google@GoogleAI score13AIGoogle describes new research intended to help researchers and public health officials complement existing health information and bridge reporting gaps. The stated goal is to address health challenges proactively. The post provides no further details on the specific research, methods, or results.
Google@GoogleAI score40AIDuring the ongoing Ebola outbreak in the Democratic Republic of Congo, WHO AFRO partnered with Google Earth AI to find transmission blind spots faster. Using Google's Geospatial Reasoning agent prototype, the team identified 48 exposed settlements and more than 45,500 at-risk people in minutes, a process that normally would take weeks.
Google@GoogleAI score52AIGoogle Earth AI combines environmental signals and other data sources with AlphaEarth Foundations, a Population Dynamics Foundation Model (PDFM), and a prototype Geospatial Reasoning agent. Researchers ask questions such as where a disease is likely to spread next, and the system automatically gathers relevant models and datasets to build a prediction model. By combining satellite views with population patterns, the tool aims to reveal hidden risk factors and identify issues earlier.
Google@GoogleAI score30AIGoogle Earth AI, according to new research, can help communities respond to public health crises more quickly and proactively. The post says it combines behavioral trends, geospatial AI models, and other insights beyond simple statistics to help public health teams understand complex issues and bridge reporting gaps. The aim is to shift emergency response from reactive management toward proactive prevention.
👩💻 Paige Bailey@DynamicWebPaigeAI score5AIGoogle/Gemini's Paige Bailey thanked attendees for supporting an event featuring Stanford AI Lab, Google DeepMind, Surge AI, and Hands-On Robotics. A companion post from Ugur Yektabasak praised a panel with Bailey, Amaub, and Teresa Nguyen during Tech Week and credited Google DeepMind with organizing it.
AIGemini CLI v0.63.0 adds a retry progress indicator during connection recovery and fixes an infinite authentication loop caused by file contention, headless keyring issues, and supervisor state drops. The release also bounds tool output size and cleans up temporary directories when background shell execution exits, alongside fixes for MCP enablement config handling and stdin restoration after capability detection.
AIGoogle DeepMind has released EmbeddingGemma 2, an open 740 million parameter model that maps text, images, audio, and video into one embedding space. It is built on the Gemma 4 architecture under an Apache 2.0 license and supports an 8K token context window. The company reports a code benchmark gain from 68.76 to 78.68 on MTEB Code and says the model can run on-device with about 567MB of active RAM for the full multimodal version on a Google Pixel 11 Pro.
Why it matters: The release shows how a 740M-parameter embedding model can cover text, code, images, audio, and video on local hardware, with memory and storage figures to compare against other on-device options.
Google Flow@FlowbyGoogleAI score20AIGoogle Flow users can add custom text overlays to existing videos by dragging a video into the prompt box, selecting Omni 1.1 Flash, and describing the scene and text placement. Writing the text in quotes and describing its style, with "preserve all other motion" to keep the original video's look, is the suggested method.
Google Research@GoogleResearchAI score34AIGoogle Research will demo ScientistTwo, an autonomous multi-agent framework, at the COLM booth (#107) today at 2:00 PM PT. The framework analyzes research papers, identifies their limitations, and produces verified codebases. The accompanying paper is available on arXiv (2609.19644).
Google Cloud Tech@GoogleCloudTechAI score20AIOn a livestream, Arthur Soroken interviews Amir and Ali Sadeghian, co-founders of Astrocade, about how generative AI and Gemini multimodal models are reshaping game development.
Google Gemini@GeminiAppAI score22AIGoogle Gemini's Guided Vision supports everyday tasks such as reading fine print, finding objects, describing items, and exploring one's immediate surroundings. The feature is also presented as practical visual assistance for older adults, people with low literacy, and anyone reading in low light.
Google Gemini@GeminiAppAI score29AIWith Guided Vision turned on, Gemini Live verbally prompts users to pan, tilt, or step back when their camera framing is too high, too close, or off to the side. These prompts help Gemini get the clear visual context it needs to answer questions.
Google Gemini@GeminiAppAI score34AIGuided Vision in Gemini Live is now available on Android devices running Android 9 and above, where Gemini Live is supported. Users need the latest Gemini app and Android system software to get started.
Google Gemini@GeminiAppAI score46AIGoogle's Gemini Live now includes Guided Vision, built with blind and low-vision community input, offering conversational real-time visual assistance. Users can share their camera to receive dynamic audio descriptions and verbal cues to help them explore their surroundings.
Google Cloud Tech@GoogleCloudTechAI score15AIGoogle Cloud Tech is hosting a live broadcast with the founders of Astrocade, a platform for building a video game from text alone. The post does not provide further details about the product or its features.
OpenRouter@OpenRouterAI score32AIOpenRouter now offers google/gemini-nano-banana-2.1, which accepts up to 14 reference images and supports Grounding with Google Search. The model produces cleaner 1:4, 4:1, 1:8 and 8:1 panoramas at 2K and 4K. Pricing is $0.0336 per image at 1K, $0.0504 at 2K and $0.1134 at 4K.
Philipp Schmid@_philschmidAI score22AIPhilipp Schmid shares a Hugging Face Space that runs Gemma embedding models in the browser using WebGPU. The demo, a webml-community project, lets users generate embeddings locally without server-side inference.
Pika@pika_labsAI score13AIPika is making Google's Gemini Nano Banana 2.1 image-to-image model available for developers to build with through its Pika API Club. The post links to a playground page for trying the model.
Pika@pika_labsAI score42AIPika has made Nano Banana 2.1 available on its platform, citing improved visual quality and faster generation speeds. The post says the model incorporates the real-world intelligence of Gemini, though it gives no benchmark figures, pricing, or technical specifications.
Philipp Schmid@_philschmidAI score22AIA Hugging Face Space lets users try EmbeddingGemma 2 directly in their browser using WebGPU. The post shares only a demo link, with no further details on model size, benchmarks, or pricing.
Google Research@GoogleResearchAI score36AIGoogle Research will demo Co-Director, a hierarchical multi-agent framework that optimizes video generation and consistency for long-form storytelling, at the #COLM2026 Google booth #107 today at 1:00 PM PT. The demo showcases interactive cinematic narratives, and the team's blog post details the approach.
Philipp Schmid@_philschmidPickAI score70AIGoogle releases EmbeddingGemma 2, its first native multimodal embedding model, built on Gemma 4 under Apache 2.0. It embeds over 100 languages, code, images, audio, and video into one vector, with an 8,192-token context and four sizes from 270M to 740M parameters. Matryoshka output dimensions of 768, 512, 256, or 128 are supported, and the model is available in Sentence Transformers and LiteRT-LM, with a reported 14% gain on MTEB Code.
Why it matters: The release extends an embedding model to text, code, images, audio, and video in one vector, a useful option for retrieval systems that mix media types.
vLLM@vllm_projectAI score60AIvLLM announced day-0 support for EmbeddingGemma 2 from Google DeepMind, a bidirectional omni-modal embedding model that maps text, image, audio, video, and interleaved inputs into one vector space. Users can try it with the latest vLLM nightly build using the command vllm serve google/embeddinggemma-2 --runner pooling. The quoted Google post says the model is built on the Gemma 4 architecture and released under Apache 2.0.
Logan Kilpatrick@OfficialLoganKAI score40AIGoogle released Nano Banana 2.1, an update to its image generation and editing model, offering higher-quality images and bug fixes from previous versions. The update also comes with a new lower price point. It is available through the API, AI Studio, and the Gemini app.
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.
Google Flow@FlowbyGoogleAI score38AIGoogle Flow now offers Nano Banana 2.1, which Google says improves visual quality and subject consistency for both image generation and editing. Nano Banana Pro and Nano Banana 2 Lite remain available in Google Flow alongside the new model.
Replicate@replicateAI score12AIReplicate 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.
Claude@claudeaiAI score42AIAnthropic'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.
Nano Banana 2.1@NanoBananaAI score40AIGoogle announces Nano Banana 2.1, an upgraded image model that outperforms its previous versions across the board. The company says it brings notable improvements in visual design, mask-based editing, subject consistency, and more natural-looking imagery. It is available now in the Gemini app and Google AI Studio.
Design Arena@DesignArenaAI score40AIGoogle DeepMind's Nano Banana 2.1, Google's latest image generation and editing model, is now available on Design Arena. The model brings improvements in visual design, mask-based editing, and subject consistency, aiming to produce more natural-looking images with greater control across editing workflows.
👩💻 Paige Bailey@DynamicWebPaigeAI score20AIGoogle'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.