What happens when ChatGPT is asked to recreate the same image 100 times? AI engineer Michelle Yang instructed the model to regenerate an identical image with zero changes, 100 times in a row. Initially, the image remains recognizable, but subtle shifts in facial features, proportions, lighting, and detail compound with each generation until the final result barely resembles the original. Because the model is not copying pixels, it reconstructs the image from learned patterns each time. When those outputs are repeatedly fed back into the system, small errors accumulate and noise grows. A phenomenon known as model collapse, where learning from oneβs own outputs degrades accuracy and structure. π¨ Follow @ai.disruptor for the latest in AI and tech innovation. Credit: @elle DM for credit/removal (no copyright intended) #ai #artificialintelligence #chatgpt #prompt #tech
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@ai.disruptor What happens when ChatGPT is asked to recreate the same image 100 times? AI engineer Michelle Yang instructed the model to regenerate an identical image with zero changes, 100 times in a row. Initially, the image remains recognizable, but subtle shifts in facial features, proportions, lighting, and detail compound with each generation until the final result barely resembles the original. Because the model is not copying pixels, it reconstructs the image from learned patterns each time. When those outputs are repeatedly fed back into the system, small errors accumulate and noise grows. A phenomenon known as model collapse, where learning from oneβs own outputs degrades accuracy and structure. π¨ Follow @ai.disruptor for the latest in AI and tech innovation. Credit: @elle DM for credit/removal (no copyright intended) #ai #artificialintelligence #chatgpt #prompt #tech
