Updated
Updated
Showing low-relevance items too. Hide low-relevance items
Philipp Schmid@_philschmidAI score22AIGoogle's Philipp Schmid announced Gemini 3.8 Flash, recommending Gemini for multimodal understanding. A quoted post by Spencer Schiff reported that frontier models struggled to match correct names to people in a drawing, offering a visual test for future models.
koray kavukcuoglu@koraykvAI score38AIIn a wide-ranging interview at The Information AI Summit, Koray Kavukcuoglu said Gemini 4 is coming soon and that Google is "certainly at the frontier." He argued against slowing development, saying safety is built in lockstep with progress, and he pointed to Google's continued hardware advantage with TPUs.
AIGemini 3.8 Flash TTS and Flash-Lite TTS are now available in the Gemini API and AI Studio, with a new feature to replicate your own voice or create one from a sentence. The guide shows recording two clips, one of 15-20 seconds of natural speech and one reading a required consent sentence, then creating a reusable voice ID. It also explains that input text is now spoken word for word, so delivery belongs in speech_metadata.style and short sounds inline.
AIGoogle Developers reproduced Ai2's Olmo 3 7B from scratch in MaxText on Google Cloud TPUs, covering both the stage-1 pre-training run and the stage-2 mid-training anneal. The match was checked on held-out C4 loss, an 8-task accuracy suite, multi-domain perplexity, and token-level KL, not just the training loss curve. The post also describes a data-loader bug that made training loss look better than the reference while held-out metrics did not move.
Why it matters: The post documents how a faithful reproduction was verified on held-out metrics, including a data bug that training loss alone would have hidden.
AIGoogle Cloud API Gateway now acts as a remote MCP server in Public Preview, making REST operations in an annotated OpenAPI 3.0.x or 3.1.x spec available as agent-ready MCP tools. Existing JWT or API-key authentication, quotas, and logging apply to MCP calls, so teams do not need a separate MCP server. Current limits include no support for OpenAPI 2.0, a maximum of 1,000 tools per gateway, and no MCP and model routing in the same API config.
Why it matters: The post shows how an existing OpenAPI spec becomes agent-callable MCP tools, with the same auth and quota policies applied, which helps teams avoid building a separate MCP server.
Google Gemma@googlegemmaAI score60AIGoogle says the Antigravity SDK now supports running agents entirely on a local machine with Gemma 4 and LiteRT. The post adds support for OpenAI-compatible endpoints, naming Ollama, llama.cpp, and vLLM as options for serving Gemma, and gives the install command pip install google-antigravity litert-lm.
Simon Willison@simonwAI score37AIGoogle's new Gemini 3.8 TTS models generate conversations between multiple voices, with over 2,000 preset voices available and voice cloning supported. Simon Willison says the models are super-cheap and built a small UI to try them, with Claude writing a script in which two pelicans debate moving to Pacifica Pier.
Google Antigravity@antigravityAI score38AIGoogle Antigravity says developers can now run open models such as Gemma 4 completely offline in its SDK. The setup uses Google AI Edge's LiteRT to run the model directly on a local GPU, with no API costs and no internet connection required.
Google Antigravity@antigravityAI score22AIGoogle announces support for local AI models in the Antigravity SDK, per a linked developer blog post. The post itself offers no further details, so specific features, supported models, or limits cannot be confirmed from this source.
AIGoogle is shipping Google Beam units to customers in the U.S., Canada, U.K., France, Germany, and Japan, supported by 18 channel partners, with HP Dimension with Google Beam as the flagship hardware. Starting in October, users can book Beam at select Industrious locations in Atlanta, Chicago, New York City, and Palo Alto, and an internal eight-week Google study reported 50% more connection and 21% fewer follow-up meetings.
Gemini Notebook@Gemini_NotebookAI score28AIGoogle says Workspace Intelligence lets users upload and reference Notebook projects as a context source inside Google Docs. Users can combine Notebook research with emails, chats, and files to personalize their drafts directly in the document.
Josh Woodward@joshwoodwardAI score36AIGoogle's Gemini app now connects with 13 new apps, including Adobe, Squarespace, and Peloton. Josh Woodward asks users which favorite apps they want added next.
Google AI Studio@GoogleAIStudioAI score62AIGoogle introduces Gemini 3.8 Flash TTS for creative voice design and Gemini 3.8 Flash-Lite TTS for high-volume, cost-efficient speech generation. Flash TTS supports voice creation from natural language prompts across more than 100 languages and dialects, and both models are rolling out today in the Gemini API and Google AI Studio, with enterprise access coming soon via Gemini Enterprise.
Google Gemini@GeminiAppAI score34AIGoogle's Gemini app is rolling out a new set of MCP connections starting today, letting users link their favorite services directly to Gemini. The post does not name the specific services included. Details are available on the Gemini blog.
Google Gemini@GeminiAppAI score12AIGoogle Gemini's account promotes Wispr Flow for summarizing meetings, capturing voice notes, and extracting action items. The post gives an example prompt asking Gemini to check decisions from recent meetings with Wispr.
Google Gemini@GeminiAppAI score12AIGoogle Gemini now integrates with PandaDoc, letting users draft, customize, and send client-ready contracts. Users simply ask Gemini to create a document, such as a Services Agreement for Acme Corp with a $50,000 contract value, using PandaDoc.
Google Gemini@GeminiAppAI score13AIGoogle Gemini can create, manage, and track issues and project cycles in Linear. Users can ask Gemini to show all high-priority issues assigned to them on Linear.
Google Gemini@GeminiAppAI score10AIGoogle Gemini can manage projects on Monday.com when users give plain-language instructions, such as creating a task named "Finalize Q4 Marketing Plan" on a board and setting its status to "To Do." The post provides this single example and does not describe further capabilities or availability details.
Google Gemini@GeminiAppAI score16AIGoogle Gemini can build responsive layouts, style pages, and update site CMS content on Webflow. The post's example asks Gemini to add a responsive FAQ section to an art studio website and publish the changes on Webflow.
Google Gemini@GeminiAppAI score26AIGoogle Gemini can search and query Airtable workspaces and bases, and manage tables, records, pages, and automations. Users can make requests in plain language, such as asking Gemini to find all open tasks in a Project Management base.
Google Gemini@GeminiAppAI score10AIGoogle Gemini can now brainstorm and search for available domains in Squarespace when users ask it to find domains for a business. The example given is asking Gemini to find domains for a new interior design business within Squarespace.
Google Gemini@GeminiAppAI score8AIGoogle Gemini users can ask it to "Find events near me on SeatGeek" to discover live games, concerts, and shows. The post says SeatGeek tickets are deal-scored.
Google Gemini@GeminiAppAI score18AIUsers can ask Gemini to search for Peloton classes, schedule them, and create multi-day training plans through the Peloton integration. The post gives an example request for a 30-minute advanced core strength class.
Google Gemini@GeminiAppAI score10AIGoogle Gemini users can ask Gemini to generate multimedia, change backgrounds, and upscale image quality via Picsart. The post gives an example prompt: "Create a vibrant modern logo for an artisanal matcha café in Picsart."
AIGoogle DeepMind describes a persistent memory layer for its Private AI Compute platform that stores user context encrypted in the cloud. The encryption keys are held on the user's devices, and data is decrypted only inside hardware-isolated secure enclaves before being re-encrypted. The company says it is publishing a tamper-proof public record of its server software and an independent audit.
Why it matters: The post explains how persistent cloud memory can keep personal AI context encrypted under keys held on the user's device, a concrete privacy design.
AIGoogle is rolling out a new wave of Connected Apps to Gemini, letting users link tools such as Airtable, Linear, monday.com, Adobe, Webflow, Peloton and SeatGeek directly in the chat. The apps span productivity, creativity and lifestyle categories, and can be connected in Gemini settings or invoked by typing @ mention in a chat.
AIGoogle Labs released six new Google Flow Tools built by creatives across architecture, sound design, and digital content, including Mondo Sónico, CaptionCast, ThumbnailForge, Surface, CollageMotion Pro, and SwissFlow Studio. Each tool targets a specific workflow, such as generating synchronized audio stems, transcribing and styling captions, or producing animated collages from text prompts. Users can try the tools, duplicate and remix them, or build their own by describing a task in Google Flow.
Logan Kilpatrick@OfficialLoganKAI score16AILogan Kilpatrick, who leads Gemini work at Google, says the company's audio model suite, spanning TTS, Live, Lyria, Translate, and Transcribe, keeps improving. He invites people in San Francisco to a first-of-its-kind audio event the next day, with an RSVP link provided.
Logan Kilpatrick@OfficialLoganKAI score33AIGoogle has released Gemini 3.8 Flash TTS, a text-to-speech model that costs less than its previous 3.1 Flash TTS model. The new model is accompanied by a new experience in Google AI Studio.
Logan Kilpatrick@OfficialLoganKAI score46AIGoogle introduced Gemini 3.8 Flash and Flash-Lite TTS, new state-of-the-art text-to-speech models. They add a new voice design experience, over 2,000 production-ready voices, voice replication, and support for 100 languages. The models rank first on Hume AI's voice benchmarks, and voice remixing is coming soon.
Philipp Schmid@_philschmidAI score38AIGoogle has launched Gemini 3.8 text-to-speech models, with a blog post, a prompting guide for speech generation, and a migration guide for users moving from Gemini 3.1. The post itself provides few technical details, so specifics such as benchmarks or pricing are not stated here.
Philipp Schmid@_philschmidAI score62AIGoogle launched Gemini 3.8 Flash TTS and Flash-Lite TTS, letting users replicate a voice from 30 seconds of audio or design one from a text description. The post claims #1 on Hume's Voice Design Benchmark and top placement in Voice Arena across 6 languages. Voices can be directed line by line with style and inline tags, with a consent check on replication and SynthID on every clip. Availability is through the Gemini API and Google AI Studio.
Google for Developers@googledevsAI score36AIGoogle for Developers shows how Gemini 3.8 Flash TTS turns natural language prompts into bespoke vocal personas for video game development. The post offers no further technical details, such as pricing, latency, or voice parameters.
Google for Developers@googledevsAI score52AIGoogle announced two new Gemini 3.8 text-to-speech models, positioned as its most expressive yet. Gemini 3.8 Flash TTS targets creative work, letting developers use natural language to define vocal personas, cues, pacing, and dialects, while Gemini 3.8 Flash-Lite TTS is built for high-volume pipelines such as bulk audiobook production and audio dubbing. Both are available now through the Gemini API in Google AI Studio.
Google AI@GoogleAIAI score40AIGoogle is rolling out two Gemini 3.8 text-to-speech models starting today: Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS. Developers can access both in Google AI Studio and the Gemini API, while consumers get Flash TTS in NotebookLM and Flash-Lite TTS in Google Vids. Both models are coming soon to Gemini Enterprise.
Google AI@GoogleAIAI score62AIGoogle AI launched Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, which it describes as its most expressive audio models yet. The models support custom voices across 100+ languages, 2,000+ prebuilt voices, multi-speaker conversations, line-by-line delivery control, and cues such as <laughs> and |mhm|. Google positions Flash TTS for bespoke voices in gaming, audiobooks, and podcasts, and Flash-Lite TTS for near real-time voice agents, high-volume dubbing, and bulk audio.
Google DeepMind@GoogleDeepMindAI score32AIGoogle DeepMind says developers can fine-tune AI-generated audio line by line, adjusting pacing, emotion, and cues such as laughs or pauses. All generated audio is watermarked with SynthID so it can be reliably identified as AI-generated, and developers can start building with the Gemini API via Google AI Studio.
Google DeepMind@GoogleDeepMindAI score44AIGoogle DeepMind has introduced two text-to-speech models, Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS. Gemini 3.8 Flash TTS lets users design unique voices with distinct accents and characteristics, while Flash-Lite TTS is built for efficiency and scale, offering user-created styles or a production-ready voice library.
Google AI Studio@GoogleAIStudioAI score42AIGoogle introduced Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, describing them as its most expressive audio generation models yet. The models are designed to help creators, developers, and enterprises build richer, more expressive audio experiences, and can be tried through the Gemini API and AI Studio.
AIGoogle DeepMind introduced Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, text-to-speech models offering custom voice design, line-by-line performance control, and multilingual support across more than 100 languages. Flash TTS is rolling out to developers in the Gemini API and Google AI Studio and to everyone in Gemini Notebook, while Flash-Lite TTS is available to developers and in Google Vids. Voice replication requires consent verification, and generated audio carries SynthID watermarking.
Why it matters: The source details the voice design, performance direction, and consent safeguards, showing how the model covers creative and high-volume use cases with access across several Google products.