全部 AI 动态

Introducing Soniox TTS v2, our most powerful text-to-speech model yet. Soniox TTS v2 brings extraordinary voice quality, expressive control through audio tags, exceptional precision, high-fidelity voice cloning, more than 60 languages, natural language mixing, and low-latency streaming together in one model. Built from the ground up with a new model architecture, audio codec, and highly optimized inference engine, Soniox TTS v2 delivers frontier TTS at just $0.70 per generated hour. Available globally today as tts-rt-v2. Try it out: https://soniox.com/text-to-speech Turn the sound on and hear what’s possible. 🔊

Introducing NVIDIA Nemotron 3.5 Lightning⚡ An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster. It delivers up to 4x the output speed of similar-sized models.

Lightning strikes for continuous and long-run agents! Nemotron 3.5 Lightning is smart, fast, efficient and open.

MAI-Image-2.6 by @MicrosoftAI has landed in the Text-to-Image Arena at #2 (1336 pts)! This release is just 45 pts behind GPT Image 2 (Medium) at #1, and ahead of #3 Grok Imagine Image 2.0 (Low) by 20 pts. MAI-Image-2.6 is a significant improvement from MAI-Image-2.5 overall at #10 with (1256 pts), and across all categories. MAI will also be making it available on Playground with early API access on Foundry next week. See post below for more details. Congrats to the @MicrosoftAI team on this release!

MAI-Image-2.6 by @MicrosoftAI has landed in the Text-to-Image Arena at #2 (1336 pts)! This release is just 45 pts behind GPT Image 2 (Medium) at #1, and ahead of #3 Grok Imagine Image 2.0 (Low) by 20 pts. MAI-Image-2.6 is a significant improvement from MAI-Image-2.5 overall at #10 with (1256 pts), and across all categories. MAI will also be making it available on Playground with early API access on Foundry next week. See post below for more details. Congrats to the @MicrosoftAI team on this release!

Today we are introducing Dyna-2, a world-action model pre-trained on one million hours of human video. At this scale, for the first time, we discovered several new scaling laws: • world-action models exhibit scaling law on human data across four orders of magnitude, from 1000 to 1,000,000 hours, • this human data scaling law implied a scaling law on never seen robot data, • both data and objective matter; world modeling and scaling on video data are essential for cross-embodiment scaling transfer to emerge 🧵

Today, we’re excited to open-source TwiL-LM3, the first formal reasoning model from the webAI Intelligence Lab. At just 3 billion parameters, TwiL-LM3 outperforms OpenAI’s GPT-OSS-120B on 4 of 5 formal reasoning benchmarks while running efficiently on consumer hardware. That’s 40× fewer parameters, 2.6× faster inference, and state-of-the-art performance in the reasoning tasks that power reliable tool calling, code generation, structured outputs, and AI agents. TwiL-LM3 was trained using webAI’s proprietary reasoning pipeline on webAI-owned, verified datasets—not scraped internet data. We believe better reasoning comes from better training pipelines and higher-quality data, not simply larger models. Our approach demonstrates that efficient models can rival—and in many cases surpass—models dozens of times their size. Designed for the edge, TwiL-LM3 runs on hardware people already own—from a Raspberry Pi to an iPhone—bringing advanced reasoning to millions of devices without relying on the cloud. This is our first open-source release from the webAI Intelligence Lab, and it’s only the beginning. Proudly built in Austin, Texas. Article: https://www.webai.com/blog/webai-releases-twil-lm-a-family-of-formal-logic-models-that-outreason-a-120b-model-and-run-on-an-iphone

Today we are releasing GPT-5.6-Cyber. The model is our first large-scale attempt at directly improving capabilities for advanced cybersecurity tasks such as exploit development. We are finding it to be really quite strong for accelerating defensive work. We are using it across our stack for red-teaming, and our security researchers have used it to find and patch a huge host of 0-day vulnerabilities in open-source software. https://openai.com/index/expanding-daybreak-as-the-cyber-defense-window-narrows/

We’re expanding our cybersecurity initiative Daybreak and introducing GPT-5.6-Cyber, a new model for advanced, authorized cybersecurity work. As the threat landscape evolves, we’re putting frontier intelligence in the hands of trusted defenders before attackers can deploy offensive AI at scale.

We’re expanding our cybersecurity initiative Daybreak and introducing GPT-5.6-Cyber, a new model for advanced, authorized cybersecurity work. As the threat landscape evolves, we’re putting frontier intelligence in the hands of trusted defenders before attackers can deploy offensive AI at scale.