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Gemini Notebook@Gemini_NotebookAI score36AIGoogle says its Live Voice Chat feature is now fully rolled out to all Pro users on mobile. The earlier rollout covered Ultra users, enabling real-time voice conversations with notebooks across about 100 languages.
Higgsfield AI 🧩@higgsfieldAI score38AIHiggsfield AI introduced Dots, a joint OpenAI x Higgsfield product offering an always-on creative crew that keeps working while users are away. Users can check in by text, call, or email and pause the work at any time. The post says it is powered by GPT-6.1 Sol.
Deedy@deedydasAI score42AIDeedy describes a video generation pipeline built around Opus 5.5 in Claude Code, routing image, video, audio, and TTS models through OpenRouter's single API key. The workflow adds reference-image consistency, animatics before full renders, a critic skill that screenshots and transcribes output for QA, and ffmpeg for most editing.
OpenBMB@OpenBMBAI score34AIOpenBMB announced that MiniCPM-o 4.5 is now supported in SGLang Omni v0.1.7, giving developers more flexibility to run and build with the model. The background release notes add that MiniCPM-o 4.5 brings multimodal input and speech output to the runtime. MiniCPM-o and MiniMax-Music3 also gained Intel XPU support in the same release.
ModelScope@ModelScope2022AI score44AIAudio8 ASR Infinite transcribes Chinese and English audio of unlimited length using a rolling KV Cache that avoids accumulated drift. At a 480 ms delay, it reports 1.75 CER on AISHELL-1, 2.89 on AISHELL-4, and 3.04/6.81 WER on LibriSpeech test-clean/test-other. The preview release is under Apache 2.0, with deployment through an adapted vLLM stack.
AIAn OpenAI developer experience team member argues voice agents need not always speak back, outlining speech-to-speech, speech-to-action, and event-to-speech as emerging design modes. He cites form filling, creative tools, and computer use as examples of speech-to-action, which he calls among the most underexplored areas. He says event-to-speech is still very exploratory, with hands-free recipe guidance and proactive alerts as examples.
Meta@MetaAI score15AIMeta is promoting its newest AI-powered glasses, touting a wider range of styles and more hands-free AI assistance. The post says the glasses are lighter and offer the longest battery life to date, announced at Meta Connect.
Deedy@deedydasAI score34AIDeedy argues every open source repository should have a roughly seven-minute explainer video like the one made for SQLite, covering its purpose, a high-level code map, a query's path through the codebase, core abstractions, and a real execution trace including join-order query planning. He says the video was generated with Opus 5.5 and Gemini 3.8 TTS, and he expresses amazement at how coherent and capable the model is.
Philipp Schmid@_philschmidAI score20AIGoogle's Gemini 3.8 TTS now generates the voices for NotebookLM's AI hosts, which listeners have noticed as a fresh change in sound. The quoted NotebookLM post confirms the change and promises further explanation of what listeners can expect.
Google AI@GoogleAIAI score57AIGoogle AI's weekly roundup lists Gemini 3.8 Flash TTS and Flash-Lite TTS as expressive audio generation models. It also announces Gemini 3.8 Live with Live Avatar for near real-time visual conversation and a Live Chat voice feature on the Gemini Notebook mobile app across about 100 languages. Project Suncatcher will launch a prototype satellite to test Google TPUs in orbit and explore solar-powered AI compute in space.
AIMicrosoft Foundry expands its agent platform with voice agents in public preview, long-running resilience for hosted agents, and tools for evaluating production agents. The post also says GPT-6 Sol, GPT-6 Luna, and Claude Opus 5.5 are now available in Foundry. Agent optimizer, Insights, and Rubric evaluator are described as tools for continuous improvement, with some reaching general availability later this month.
Why it matters: The post shows how Foundry combines model choice, voice agents, long-running resilience, and production evaluation into one agent workflow, with a customer example.
LiveKit@livekitAI score28AILiveKit tested Gemini 3.8 Flash-Lite TTS inside a LiveKit agent, letting users direct a voice line by line and hear it hold up in a real conversation. The post highlights expressive speech, custom voices, and a production-ready voice library.
AIGoogle DeepMind has launched Gemini 3.8 Live with Live Avatar, which adds near real-time visual presence to its native live dialogue models. The feature is available today in Gemini Enterprise, supports 97 languages with adaptive lip-sync, and allows custom avatars through enterprise allowlisting. All output carries an imperceptible SynthID watermark.
Why it matters: The post specifies the new avatar capabilities, the Gemini Enterprise access path, and the SynthID watermark, which helps readers judge its enterprise deployment fit.
LiveKit@livekitAI score22AILiveKit has acquired Loophole Labs, an infrastructure company whose technology will enhance LiveKit's platform for building voice, video, and physical AI agents. The acquisition moves LiveKit closer to offering customers essentially unlimited concurrent agents, according to the company.
Philipp Schmid@_philschmidAI score56AIGemini 3.8 TTS lets users replicate their own voice or design a custom voice from a text prompt. The workflow is to record about 20 seconds of speech with a consent sentence, create the voice through an API call, then use it in any request with styles set in speech_metadata. The author also points readers to a guide for setting up and testing the process with an agent.
Philipp Schmid@_philschmidAI score62AIGemini 3.8 Flash TTS and Flash-Lite TTS are now available in the Gemini API and AI Studio, with a new option to replicate a user's own voice from two recordings or design one from a sentence. The guide says the reusable voice ID can be passed in later requests, or an encrypted voicekey that expires after 7 days can be used if nothing is stored server-side. Prompting changed from gemini-3.1-flash-tts-preview: input text is spoken word for word, delivery goes in speech_metadata.style, and non-streaming responses are now real WAV.
AIGoogle introduced Gemini 3.8 Live with Live Avatar, which adds a visual persona with lip-syncing and expressions to its live dialogue models. The feature is available in Gemini Enterprise and supports 97 languages, with custom avatars available through enterprise allowlisting. Google says all output is watermarked with SynthID.
Why it matters: The post specifies enterprise availability, custom avatar allowlisting, and 97-language support, which clarifies who can use the feature and how far it reaches.
AIGoogle says Gemini 3.8 Live with Live Avatar is now generally available in Gemini Enterprise, with US and EU endpoints, provisioned throughput, and enterprise compliance. Its video avatars use synchronized lip-syncing, custom avatars are limited to an allowlist, and generated audio and video carry SynthID watermarks. The model also understands and speaks 97 languages and can run tool calls in the background while the conversation continues.
AI at Meta@AIatMetaAI score34AIMeta's Muse Realtime Avatar was rated ahead of two leading commercial avatar systems in live-call products, based on 2–3 minute conversations with matched avatar identities. Raters compared visual quality, sync, character consistency, and mannerisms, and Muse Realtime Avatar came out ahead on overall preference.
AI at Meta@AIatMetaAI score42AIMeta's Muse Realtime Voice generates speech tokens encoding both content and prosody, and Muse Realtime Avatar consumes that shared stream to produce streaming video. Using a fixed-length history as motion context keeps computation bounded regardless of conversation length while synchronizing voice, lip motion, and expressions.
AI at Meta@AIatMetaAI score42AIMeta unveiled Muse Realtime Avatar, a real-time embodiment technology that turns Muse Realtime Voice into expressive, interactive avatars. It enables new interactions in Muse, starting with real-time conversations.
Simon Willison@simonwAI score34AISimon Willison had a voice conversation with his blog's Datasette backup through datasette-mcp, which is now accessible from the ChatGPT iPhone app. The quoted post says ChatGPT Voice can now use plugins and run on GPT-6 Astra, Sol and Luna in ChatGPT Work on web and mobile.
Mark Zuckerberg@finkdAI score22AIMark Zuckerberg announced a keychain-sized device called Muse Charm for talking to Muse, shipping in December. The post gives no further details on specifications, pricing, or capabilities.
Mark Zuckerberg@finkdAI score29AIMeta has introduced the new Ray-Ban Meta Gen 3 smart glasses, featuring longer battery life and upgraded microphones. The lineup includes iconic styles such as Aviators.
Mark Zuckerberg@finkdAI score44AIMeta's Muse personal agent now supports voice and real-time video, letting users hold long conversations while it works on tasks in the background. Meta is also bringing Muse to glasses for hands-free use throughout the day.
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.
Greg Brockman@gdbPickAI score67AIChatGPT Voice can now use plugins such as email, calendar, and Slack, and it can be powered by GPT-6 Astra, Sol, and Luna. It is also available in ChatGPT Work on web and mobile for creating docs, decks, sites, and spreadsheets by voice, rolling out globally in the latest app version.
Why it matters: The quoted OpenAI post names the new voice tool access, supported models, and Work integration, showing how voice now acts across workflows.
Thomas Dohmke@ashtomAI score22AIDeveloper Stefano (@spedemo) built a 3D-printed, remote-controlled robot named Marvin that uses voice detection and speech, with all of it open source. The post says Marvin connects to ChatGPT and Entire, and it will be shown at the WeAreDevs booth 753 in San Jose.
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.
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 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.
