Overview

• Researchers from Auburn University and the University of Alberta tested top AI models on basic visual tasks.
• AI models like GPT-4o and Gemini 1.5 Pro failed at simple tasks such as identifying overlapping shapes and counting objects.
• The study highlights that AI's visual 'understanding' is more about pattern recognition than true visual comprehension.
• Models performed well on familiar patterns like the Olympic Rings but struggled with slight variations.
• The findings suggest that current AI models lack generalizable visual reasoning capabilities.