AI Research Pivots to Privacy, Efficiency, and Reliability
New research includes a differentially private model from Google and methods for more efficient and reproducible AI outputs.
Solving Second-Order Problems
Artificial intelligence research announcements on September 12, 2025, focused on solving the critical second-order problems that have emerged from the widespread deployment of large-scale models. Instead of pursuing raw scale, research efforts centered on improving the privacy, efficiency, and reliability of AI systems. These advancements are foundational for moving AI from a novel technology into a trustworthy utility.
Privacy-Preserving AI
On September 12, Google's research division announced VaultGemma, which it described as a highly capable large language model trained with differential privacy. Differential privacy is a formal mathematical framework that enables organizations to train AI …
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