AI still can't reliably read an analog clock
Alek Safar just introduced ClockBench to test multimodal models on analog clocks, and they struggled hard. While humans achieved 89.1% accuracy, the best model, Google's Gemini 2.5 Pro, only hit 13.3% with a median error of an hour. Interestingly, models solve time math easily once they get the time right, proving visual spatial reasoning remains the real bottleneck.