Mistral Large 4 (Le Chonk) comes out with open weights and debuts at Microsoft Foundry
Mistral launched Mistral Large 4, nicknamed Le Chonk, as an open weight model, and Microsoft is the first cloud to offer it via Microsoft Foundry.
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Mistral launched Mistral Large 4, nicknamed Le Chonk, as an open weight model, and Microsoft is the first cloud to offer it via Microsoft Foundry.
AWS started offering OpenAI GPT models by Amazon Bedrock, with cross-region inference in Thailand, Malaysia, Singapore, Indonesia and Taiwan.
Meta announced the Muse Wonder and Muse Wonder Full border models, trained at the data center Prometheus in Ohio, with Active Memory and Active resources Focus on agent...
Mistral announced Mistral Large 4, trained from scratch in 3,800 NVIDIA Grace Blackwell GPUs in Europe's own data centers and distributed with open weights.
The American startup Reflection AI presented the Beam, open weight model with 501 billion parameters focused on code and agents, which according to the company equals the Chinese GLM-5.2...
Google has announced Gemini 4 Argon, a border model with a context window and 1 million tokens output limit, focused on long and multiple-step workflows.
Anthropic published a case study in which Claude solved an amplitude of nine ties in super-Yang-Millls N=4, which was narrated in a post-invitation by physicist Matt von Hippel.
Anthropic is evaluating the safety of its next model before deciding whether to launch it, according to sources heard by Reuters, while facing the pressure of pre-IPO investors and...
Xi Jinping announced at the BRICS summit an open source AI platform for the bloc countries, with LLM development and technical training.
Companies should spend more than $2.5 trillion in AI in 2026, a 47% increase over 2025, according to Fortune.
Samsung announces strategic partnership with Mistral AI to integrate on-premise AI models into its semiconductor infrastructure, focusing on data efficiency and sovereignty.
Hugging Face presented Microduck, an AI device for $399 that runs language models directly on the hardware, without relying on cloud.
The Indian company Gnani launched Artha, a sovereign AI stack with the Evon v3.3 model of 30 billion parameters, supporting more than 11 languages and tokenizer that reduces the cost per consultation in Indian languages by 20%.
Apple partnered with Alibaba to develop its generational AI model in China after registering the service in the country's regulatory body.
Unsloth provides at Hugging Face Qwen3 in version GGUF with 2.4 trillion parameters and 95B active, optimized for local inference.
A new generational agent on a production scale generates customized investment insights and in accordance with regulations, marking a breakthrough in retail AI application. [Source](https://huggingface.co/papers?q=execution-grounded+verification)
Pixieset used Amazon Bedrock to create alternative text generation and reached 35% adoption of AI in four months — without exaggeration, just solving a real pain.
The ever-increasing AI model race continues, with ByteDance training a model of up to 10 trillion parameters and Alibaba launching Qwen 3.8 Max with 2.4 trillion.
InclusionAI, Ant Group's laboratory, presents the Ling-3.0-Flash model, an open weight that challenges the idea that larger models are always superior.
Perimattic provides its AI observability platform in AWS Marketplace, allowing you to track prompts, responses, latency, tokens, hallucinations and business KPIs.
Native AI banking platform uses Amazon Bedrock to automate 68% of customer chats, reduce costs and release teams for innovation and risk management.
Meta announced the release of Muse Spark 1.2, an artificial intelligence model that achieved a score close to that of GPT-5.6 Land at DeepSWE 1.1 benchmark, and Muse Code, a companion AI agent to assist developers in long-term coding tasks.
Hyundai AutoEver, in partnership with AWS, developed a multi-tenant generating AI sandbox and a production AIOps system on Amazon Bedrock.
Alibaba announced Qwen 3.8-Max, its higher-capacity language model, with 2.4 trillion parameters, for competitive performance in coding and research.