In this episode, we discuss Meta's potential shift to charging for its next flagship AI model codenamed Avocado, marking a significant departure from the company's open source approach with Llama models. We explore Mistral's release of two powerful open source coding models called Devstral 2, which benchmark faster than Claude and GPT-4 on certain coding tasks, and the Pentagon's launch of GenAI.mil featuring Google Gemini for Government across military operations. Learn how Meta is restructuring its AI operations under Mark Zuckerberg's leadership, why Mistral's 24 billion parameter model can run locally on laptops as a true Copilot alternative, and what Google Gemini's Impact Level 5 security clearance means for AI deployment in defense applications. These developments reveal contrasting strategies as Meta moves toward monetization, Mistral champions open source accessibility, and the Pentagon embraces generative AI for operational military workflows.https://www.aiconvocast.comHelp support the podcast by using our affiliate links:Eleven Labs: https://try.elevenlabs.io/ibl30sgkibkvDisclaimer:This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Meta, Mistral, Google, the Department of Defense, or any other entities mentioned unless explicitly mentioned. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or legal advice. Affiliate links may generate commission to support podcast production.

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