In fact, they may not see at all. Although marketed as having 'vision capabilities,' they match patterns in input data akin to math or writing stories instead of true visual understanding.
A study by Auburn University and University of Alberta found even basic visual tasks led to AI models failing, highlighting the gap in 'visual understanding' compared to human performance.
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