Training Data Bias: AI models generate outputs based on the data they are trained on, often producing chopsticks with ramen due to the prevalence of such images.
Majority Rule: AI prioritizes common results over outliers, making it difficult to consistently create chopstick-free ramen images despite introducing varied training data.
Lack of Contextual Understanding: AI lacks human-like understanding of minor details, leading to challenges in generating simple yet contextually accurate images like a bowl of ramen without chopsticks.
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