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oogle has just released VaultGemma, a new AI model built with privacy at its core. Unlike traditional models that risk memorizing sensitive data, VaultGemma was trained using differential privacy — a technique that teaches the AI patterns in language without allowing it to store or leak specific personal details. At one billion parameters, it’s the largest open model of its kind, and it marks an important step toward building AI systems people can actually trust. 🔑 Why It Matters AI is becoming part of our everyday lives — from healthcare to finance to the workplace. But without strong privacy guarantees, these systems carry serious risks. VaultGemma shows it’s possible to balance usefulness with protection, and that the future of AI doesn’t have to come at the cost of our data security. In this video, we’ll cover: What VaultGemma is and how it works Why differential privacy is a breakthrough for AI safety The trade-offs between power, compute, and privacy What this model can (and can’t) do today How it could shape the next generation of private AI VaultGemma is not the most advanced model in terms of raw performance, but it’s the first truly private AI model at scale — and it’s open for the community to explore and improve. 👉 Would you trust an AI like this with your personal or professional data? Let’s talk in the comments. #GoogleAI #VaultGemma #PrivateAI #ArtificialIntelligence