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  4. This Startup Is All In on Recursive Self-Improvement. Its Latest Model Is Scary Good
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Models & Releases

This Startup Is All In on Recursive Self-Improvement. Its Latest Model Is Scary Good

Recursive makes the case that the benefits of using AI to build AI outweigh the risks.

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Models & ReleasesOpen story →

Mistral AI launches Voxtral 3, a full voice agent stack that listens, thinks, and talks in real time

Mistral AI launched Voxtral 3, a new family of language models built for real-time voice agents. The system combines speech-to-text, text-to-speech, and a voice agent SDK, supports more than 50 languages, and lets agents tap into external tools during live conversations. It can run on your own infrastructure or through EU-hosted APIs to keep data under your control. The article Mistral AI launches Voxtral 3, a full voice agent stack that listens, thinks, and talks in real time appeared

Also reported by MarkTechPost

Models & ReleasesOpen story →

Voxtral 3

Voxtral 3: Mistral's voice agent SDK for real-time speech in 50+ languages — accurate transcription, emotional TTS, deep tool use. EU-hosted or self-deployed.

Models & ReleasesOpen story →

DeepSeek Open-Sources DeepInfer, the Inference Framework Behind DeepSeek-V4.1-Flash

DeepSeek has open-sourced DeepInfer, the inference framework that runs its production services. The DeepSeek DeepInfer inference framework is the engine behind DeepSeek-V4.1-Flash. It ships under the Apache 2.0 license. DeepSeek also released deepseek-recipe, its MIT-licensed token encoding and decoding layer. For developers, this is a rare look at a frontier lab’s real serving stack. TL;DR Size / scope: 1 supported model (DeepSeek-V4.1-Flash), 1M-token context window per the model

Also reported by The Decoder and SiliconANGLE

Models & ReleasesOpen story →

Nvidia launches new open models to run agents in the enterprise and on PCs

Nvidia is leaning hard into the trend of enterprise companies wanting to run their own open models in their own data centers and also trying to make on-device, private AI agents a thing.

Models & ReleasesOpen story →

NVIDIA Open Models Advance Europe’s Sovereign Intelligence Across Industries

NVIDIA is expanding its family of open models across language, robotics, biology, and quantum computing, giving developers, researchers and enterprises what they need to build applications tailored to local languages and industries The portfolio includes the new NVIDIA Nemotron 3.5 Super VL and Nemotron 3.5 Bolt models; new NVIDIA Nemotron Retriever models for embedding, reranking and document parsing; the new NVIDIA Kumo family open weight foundation models and libraries for structured business

Models & ReleasesOpen story →

MiniMax Just Launched M3.1 Flash: 428B MoE Agentic Model at $0.15/M Input

MiniMax has just released MiniMax M3.1 Flash on its API, priced at $0.15 per 1M input tokens. MiniMax also confirmed that Space Bunny was an earlier M3.1 Flash build. That stealth model processed over 200T tokens. For developers, the message is near-frontier agentic scores at Flash-tier cost. Model weights are due in late October, 2026. TL;DR Size: 428B total parameters, about 23B active (MoE); 1,000,000-token context Runs on: MiniMax API, M Plan and MiniMax Code today. Self-hosting h

Also reported by The Decoder and SiliconANGLE