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Microsoft and Mistral AI expand their partnership to integrate Mistral's frontier models across Azure, Microsoft Foundry, Copilot Studio, and Azure Local, aiming to provide more AI deployment choices for customers.
AnjneyMidha recounts his experience joining MistralAI's board and speaking at their all-hands about his investment driven by the mission.
Mistral AI releases Robostral Navigate, an 8B model that enables robots to navigate complex environments using only a single RGB camera, achieving state-of-the-art results on R2R-CE benchmarks and outperforming multi-sensor approaches.
TechCrunch profiles Mistral AI, the French AI startup competing with OpenAI, detailing its enterprise-focused strategy using custom models and agent platforms, rapid revenue growth, and its vision for decentralized AI.
Mistral AI releases Leanstral 1.5, an updated Lean 4 formal proof engineering model optimized for automated theorem proving and autoformalization, with 119B total parameters and 6.5B active parameters.
Mistral AI is adding dedicated Code and Apps sections to its Vibe (Le Chat) web platform, turning it from a conversational interface into a development and app-building environment. A new large, sparse mixture-of-experts model is also confirmed for summer release as open weights.
Mistral AI launches a free plan offering its SOTA large model, 500 memory entries, image generation, project grouping, and 40+ enterprise connectors. Only phone number verification is needed.
Mistral AI has released a full paper detailing how they created their model Le Chaton Fat, potentially marking a significant milestone for the company.
Mistral AI is reportedly in early talks to raise €3 billion at a €20 billion valuation, nearly doubling its previous valuation, reflecting its growing significance as a European AI sovereign alternative.
Mistral AI released Search Toolkit, an open-source framework for building production search pipelines for AI applications, unifying ingestion, retrieval, and evaluation into a single interface.
The author attended the Mistral AI Now Summit in Paris, noting Mistral's shift from a model company to a full-stack AI provider, with emphasis on on-prem deployment, specialized small models, and European sovereignty.
Mistral AI CEO Arthur Mensch said the company is exploring designing its own chips to lower costs, as it ramps up data center investments in Europe and launches an agentic platform for enterprises.
Mistral AI acquires Emmi AI to create the leading AI stack for industrial engineering, combining Mistral's platform with Emmi's Physics AI models to accelerate simulation and engineering workflows in sectors like energy, automotive, and aerospace.
Mistral AI has released Mistral Medium 3.5, a dense 128B multimodal model featuring a 256k context window, configurable reasoning capabilities, and improved performance in instruction following, reasoning, and coding tasks.