#Google

AIGoogle 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.

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.

AIGoogle DeepMind's latest Gemini Audio models let developers design new vocal personas from natural language prompts, directing pacing, back channeling, and dialect shifts line by line. Developers can also recreate consistent adult voice profiles from a 30-second audio sample, with built-in consent verification, SynthID watermarking, and C2PA credentials.

AIGoogle announced that the Antigravity SDK supports local agent workflows, with initial support for Gemma 4 26B A4B through Google AI Edge's LiteRT. The post includes Python setup steps and says a recommended machine has more than 24GB VRAM or unified memory. It also describes a hybrid pattern in which a cloud Gemini 3.8 Flash planner hands work to local Gemma 4 26B models, with 97.2% of tokens in one recorded run staying local.

Why it matters: The source shows how to run an agent with a local Gemma 4 26B model using LiteRT, plus a hybrid cloud-planner pattern that keeps most tokens on-device.

AIGoogle Gemma credits @mmastrac and @dylayed for work on DiffusionGemma-Jev (djev), a Jev API-compatible endpoint. Per @dylayed, djev can be deployed to Google Cloud Run with a single gcloud command, at roughly $3/hr while active and $0 when idle.

AIGoogle Flow now has more than 25 million people using it every month to create ideas, stories, and projects. Google is continuing to offer 50 additional daily credits to all users.

AIGoogle made the Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS models generally available, along with the Gemini API Voices endpoint. Flash TTS is positioned for studio-grade voice fidelity and long-form multi-turn stability, while Flash-Lite TTS targets high-throughput, real-time voice agents and replaces gemini-3.1-flash-tts-preview. The update adds voice design, voice replication with consent verification, and access to 150+ prebuilt and custom voices.

AIGoogle AI subscribers now get premium Colab benefits, including priority access to faster accelerators and more powerful machines. Google AI Ultra subscribers also get uninterrupted background execution and Premium GPU access for long training runs. The benefits roll out over the next few weeks in Colab-supported countries, and existing Colab subscriptions are unchanged.

AIGoogle AI Developers pointed readers to a Google blog post about Gemini 3.8 Live and its extended thinking capability. The post itself contains no further details, so specifics such as benchmarks, pricing, or availability cannot be confirmed from this source.

AIJeff Dean, who recently left Google after 27 years, thanked Dawn Song for a discussion covering foundational ideas, recursive self-improvement, automated scientific discovery, and AI safety. The post is a brief acknowledgment of that conversation, which Song promoted as Dean's first public talk since leaving Google.

AIGoogle's weekly recap covers Gemini 3.8 Live and 3.8 Live Extended Thinking, described as its most advanced live dialogue audio models yet. It also notes Dreambeans, a GoogleLabs experiment curating daily personalized stories, is now generally available, and that CC has expanded into a shared agent for household coordination. Google Pics, a Workspace tool for generating and co-creating images, is now GA, alongside AlphaGenome Atlas, DeepMind's interactive genomics discovery platform.

AIGoogle has released Android Bench 2.0, an updated benchmark that evaluates AI models on long-horizon tasks such as building apps from scratch, migrating cross-platform codebases to Android, and making complex architectural transitions. The benchmark uses continuous completion scoring to show which tasks each model performs well on.

AIGoogle's AI & Economy Research Program has added Nobel laureate Philippe Aghion as an Academic Advisor and Ajay Agrawal as a Visiting Fellow, with Anu Madgavkar and Daniel Rock named Directors. The program covers the future of work, productivity and growth, global technology diffusion, and AI's impact on scientific discovery, and builds on the recently launched AI & Economy ATLAS v1.0.

AIGoogle's Envisioning Studio, with Google Labs, co-developed custom Google Flow tools with designers Jane Wade and Sergio Hudson ahead of New York Fashion Week. Wade's Styling Suite let her style runway looks on digital models before producing physical samples, while Hudson's Runway Visualization helped him stage his show within a tight budget. The source says the tools are built with natural language and no coding experience.

AIGoogle is restricting access to its Gemini 2.5 models to users who have actively used them in the past, to keep performance reliable. The models are not deprecated and remain available through the API until further notice. For new projects, Google recommends its latest models, 3.5 Flash-Lite or 3.8 Flash.

AIGoogle Research is sharing an experiment that lets educators generate custom, guided STEM simulations tailored to their curriculum using generative UI. It is releasing a sample library of over 30 English interactives for physics, chemistry, biology, and math, all AI-generated and reviewed by teachers. Schools using Google Workspace for Education can sign up through the Google for Education Pilot Program to give feedback.

AIThe United Nations system launched UN System Data Commons, an open-source platform built on Data Commons by Google that integrates siloed global statistics into one AI-ready knowledge graph. Users can query it in natural language, browse by location or theme, and use MCP-enabled AI agents to fetch verified figures and draft charts or reports. The UN plans to add more datasets, aiming to include 80% of UN system statistical datasets by 2027.

AIGoogle teamed up with Speakeasy to ship new Google GenAI SDKs for its Interactions, Agents, and Webhooks APIs. Speakeasy has also open-sourced its OpenAPI generator suite used to generate the SDKs.

AIGoogle Labs has announced CC, an AI agent built for families that can be connected to up to 5 members. It syncs schedules and to-dos through shared Google Calendar and Tasks, sends a shared "Your Day Ahead" brief each morning, and handles tasks such as meal plans, shopping lists, and paperwork under user direction. It is available by waitlist or upgrade in the US for users 18 and older.

AIGoogle AI Studio announced that Speakeasy is open sourcing its OpenAPI client generation suite under AGPLv3, following a May 2026 vendor shutdown that disrupted Google's SDK pipeline. The suite covers SDK generation for 7 languages, an agent-native CLI generator, and a documentation MCP server generator. Google says its pipeline now serves six targets with roughly one engineer maintaining it.

AIGoogle Labs has turned its experimental CC agent into a family and household assistant that supports up to six members, each with a shared view of the day ahead. CC has its own Google account, sees only what members choose to share, and connects to Calendar and Tasks. It is available as an early experiment on web and mobile for U.S. users 18 and older with a personal Google account.

AIGoogle AI Studio released antigravity-preview-09-2026, an updated harness for Gemini managed agents, now live in the Interactions API and AI Studio and running on Gemini 3.8 Flash. The release adds a Files API for moving data into and out of the agent's sandbox and a Credentials API that stores secrets encrypted so the model never sees them.

Why it matters: The post shows what changed in the agent harness and how the new Files and Credentials APIs keep secrets out of the model's context, useful for developers building agents.

AIA Mariposa Museum exhibit photographed by writer Steven Johnson, shared by Gemini Notebook, documents the Sierra Nevada town in 1859, ten years after the Gold Rush began. Johnson says he used the Gemini Notebook mobile app's camera feature to generate a detailed report from photos of the display, which he says was 99% accurate on fact-checking.

AISteven B. Johnson describes how the camera feature in the Gemini Notebook mobile app let him photograph a Mariposa Museum exhibit and get a detailed text report of its contents. He says the transcription was about 99% accurate on his fact-check, though some blurry text was hard to read, and he plans to use Notebook to compare the new material against his existing sources.