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AI models becoming more specialized with reasoning capabilities to support sector-specific use cases, critical domains, zero-shot robot planning and real world simulation and are more willing to engage with classified information

June 26, 2025 //  by Finnovate

AI models are maturing and becoming more specialized, with companies shifting from general-purpose chatbots to custom-built systems tailored for the government, robotics and regulated sectors. OpenAI has released o3‑pro, a premium version of its most advanced reasoning model that is optimized for science, education, programming, business and writing assistance. In essence, o3‑pro isn’t bringing new capabilities but rather refining existing ones through compute-intensive reasoning that is better suited to critical domains where hallucinations cost time or money. Google has released an upgraded preview of Gemini 2.5 Pro, its smartest model yet.  This model excels at coding, math and science, as well as knowledge and reasoning capabilities. This model also has improved style and structure, making it more creative in responding. Gemini is Google’s flagship family of AI models and the first major natively multimodal model, meaning it was built from the ground up to be able to handle text, images, code and video. Anthropic has unveiled Claude Gov, a custom version of its Claude LLMs tailored for U.S. national security and intelligence applications. Models are more willing to engage with classified information instead of refusing to answer. Greater understanding of intelligence documents. Greater language and dialect proficiency related to national security matters. Improved understanding of cybersecurity data for intelligence analysis. Meta unveiled V‑JEPA 2, a world model trained on video that lets it understand the laws of physics to simulate the real world better. V-JEPA 2 can be used for zero-shot robot planning, meaning the robot doesn’t have to be pre-trained to interact with new objects. Mistral has launched Magistral, which comprises two chain‑of‑thought reasoning models. They are Magistral Small (24 billion parameters and open source) and Magistral Medium (proprietary, for enterprises). As Mistral’s first reasoning model, Magistral works for different enterprise use cases including structured calculations and programmatic logic to decision trees and rule-based systems.

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