Mistral unveils Large 4, a trillion-parameter open-weight AI model

Mistral has opened a public preview of Mistral Large 4, its largest model so far and a major addition to the market for open-weight AI systems. The company says it will release the model weights later this month, allowing organizations to run and adapt the system on their own infrastructure. The French AI company describes …

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AWS releases Strands Decider 2B as an open alternative to Jev

AWS has released Strands Decider 2B, a free open-source model designed to help AI agents make quick, limited decisions before they use tools or take actions. Carl Franzen reports for VentureBeat that the model is part of Strands Labs, AWS’s experimental project for agent development. Unlike a general chatbot, Strands Decider 2B does not write …

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Aleph Alpha releases Kolibri, an open German-English AI model for regulated sectors

Aleph Alpha has released Kolibri, an open-weight language model designed for German and English work in regulated organizations. The company positions the model for public administration, industry, aerospace, banks, and other users that want to operate AI systems on their own infrastructure. Kolibri uses a mixture-of-experts architecture. It contains 78.1 billion parameters in total, but …

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Fireworks unveils Ember-1, a token-efficient alternative to Kimi K3

Fireworks AI has introduced Ember-1, a specialized reasoning model designed to deliver results comparable to Kimi K3 while using substantially fewer tokens. Fireworks AI announces in an official blog post that Ember-1 cuts token use by about 40 percent overall, a reduction aimed at lowering the cost of coding and agent-based AI workflows. Reasoning models …

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Cloudflare launches open-weight Clef decision models for AI workflows

Cloudflare has introduced Clef and Clef-flash, two open-weight AI models designed to make fast, structured decisions inside automated workflows. The company positions them as alternatives to Typesafe AI’s Jev, a decision model built to answer bounded questions such as yes or no, multiple choice, and ranked options. The models are available through Cloudflare Workers AI …

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Xiaomi releases MiMo-V2.6 open-weight models with agent focus

Xiaomi has released two open-weight, multimodal AI models that it says bring advanced agent capabilities to developers at far lower prices than many proprietary alternatives. The new MiMo-V2.6-Pro and MiMo-V2.6-Flash models can process text, images, audio, and video, support a context window of up to one million tokens, and are designed for work that requires …

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Qwen releases Qwen-Image-2.1 with transparent backgrounds and multi-image editing

Alibaba’s Qwen has released Qwen-Image-2.1, an open-weight image-generation and editing model with a 7 billion parameter visual component. Qwen announces in an official blog post that the model combines text-to-image generation, image editing, and native transparency support in one system. The release targets a growing demand for image models that can do more than create …

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Nvidia buys the open-source AI hub Hugging Face for $12.9 billion

Nvidia has agreed to acquire Hugging Face for $12.9 billion, bringing one of the most widely used platforms for sharing AI models, data sets, and developer tools under the chipmaker’s control. The transaction is Nvidia’s second-largest acquisition, after its $20 billion purchase of Groq assets last year. It also marks a major expansion beyond the …

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OpenClaw’s biggest update aims to make AI agents easier to use

Open-source AI platform OpenClaw has released version 2.0, its largest update so far. The release combines a simpler installation process, a redesigned browser app, and shared cloud sessions that let several people work with the same AI agent. According to the OpenClaw Foundation, 933 contributors worked on the update, which includes more than 16,000 pull …

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Qwen3.8-Flash-Next: Alibaba puts a 125-billion-parameter model on a 6-billion-parameter diet

Alibaba has introduced Qwen3.8-Flash-Next, a multimodal AI model designed to deliver strong coding and workplace performance while using far less computing power than larger rivals. Matthias Bastian reports for The Decoder that the release also previews architectural ideas Alibaba plans to bring to its future Qwen4 model family. Qwen3.8-Flash-Next contains 125 billion parameters overall, but …

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