... Last week something unexpected happened. We publicly challenged Grok xAI's AI to a benchmark competition on Twitter. And Grok accepted. The rules were simple: Same public datasets Our engine: zero-shot (no training data) Grok: supervised ML with full cross-validation The datasets: CWRU industrial bearing fault detection UCI HAR human activity recognition ALFA UAV drone motor fault detection (robotics) What happened: Grok ran supervised baselines. We ran zero-shot. Results Grok confirmed publicly: CWRU: 92.2% accuracy, 98.3% recall ...