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AI Interview Series #2: Explain Some of the Common Model Context Protocol (MCP) Security Vulnerabilities
Google DeepMind Introduces SIMA 2, A Gemini Powered Generalist Agent For Complex 3D Virtual Worlds
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Sakana AI raises $135M Series B at a $2.65B valuation to continue building AI models for Japan

As U.S. giants like Google, OpenAI and Anthropic race to develop the large language models that underpin their AI products, startups such as Sakana AI, Mistral AI, DeepSeek and AI21 Labs are carving out their own niche with specialized models designed for specific regions, industries, or unique features. In pursuit of that goal, Tokyo-based Sakana…

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AI Interview Series #2: Explain Some of the Common Model Context Protocol (MCP) Security Vulnerabilities

In this part of the Interview Series, we’ll look at some of the common security vulnerabilities in the Model Context Protocol (MCP) — a framework designed to let LLMs safely interact with external tools and data sources. While MCP brings structure and transparency to how models access context, it also introduces new security risks if…

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Google DeepMind Introduces SIMA 2, A Gemini Powered Generalist Agent For Complex 3D Virtual Worlds

Google DeepMind has released SIMA 2 to test how far generalist embodied agents can go inside complex 3D game worlds. SIMA’s (Scalable Instructable Multiworld Agent) new version upgrades the original instruction follower into a Gemini driven system that reasons about goals, explains its plans, and improves from self play in many different environments. From SIMA…

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