
Google has released Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, 2 new text-to-speech models in its Gemini Audio family. Google calls them its most expressive audio generation models yet. Flash TTS targets creative direction and character voices. Flash-Lite TTS targets high-volume, cost-efficient production. Both let developers direct delivery line by line using natural language. Is it deployable? Yes, both models are rolling out now through the Gemini API and Google AI Studio. Access
Google has released two new text-to-speech models that convert written text into spoken audio with expressive delivery. The models differ in their purposes: one targets creative applications like gaming and audiobooks with detailed performance controls, while the other prioritizes cost-efficient high-volume production. These models introduce a shift from a fixed set of 30 original voices to a system that can generate new voices from text descriptions across over 100 languages and dialects, or select from more than 2,000 production-ready voices. The models include safety features such as watermarks embedded in audio output and require consent recordings when replicating a specific person's voice.

In this tutorial, we work with Jev, TypeSafe AI’s first System One model, which does not generate text at all: we send it a piece of program state and a set of typed questions, and it returns choices, scores, and yes/no probabilities that our code can branch on directly. We install the official Python SDK, make a first call that uses all three question primitives at once, and look at how the shape of the state changes what the model can know. We then recompute the published confidence sta

NVIDIA has released Nemotron 3 Diarization, an open-weight speaker diarization model on Hugging Face. It answers one question about any conversation: who spoke when. The 100M-parameter model tracks up to 8 speakers, including when voices overlap. One checkpoint handles both offline recordings and real-time streaming. Is it deployable? Yes. The weights are released under the OpenMDW License 1.1, which permits commercial use. It runs on Linux through NVIDIA NeMo, using Ampere, Ada Lovelace, Ho

The capability lets AI systems communicate with users through spoken words, expanding accessibility beyond text-based interfaces.
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