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TTT-Discover: Turning Inference Into an Automated R&D Loop for High‑Value Optimization Problems

Enterprise AI has largely standardized on a simple pattern: train a powerful model, freeze its weights, and then query it cheaply and repeatedly. A new technique from researchers at Stanford, Nvidia, and Together AI challenges that pattern directly by asking… Read More »TTT-Discover: Turning Inference Into an Automated R&D Loop for High‑Value Optimization Problems

Top 7 AI-Driven Database Performance Tuning Techniques DBAs Need Now

Introduction: Why AI-Driven Database Performance Tuning Is Exploding In the last couple of years, I’ve watched database performance tuning change more than it did in the previous decade. Traditional tuning still matters—indexes, query plans, caching—but the speed, scale, and variability… Read More »Top 7 AI-Driven Database Performance Tuning Techniques DBAs Need Now