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Why AI Gets It Wrong More Than You Think
- AI, despite being used widely, makes numerous mistakes due to several reasons.
- AI lacks genuine understanding, learning from flawed and biased training data.
- Additionally, AI tends to overfit data, become overconfident in its answers.
- Real-world complexities, blind trust, and lack of human oversight are key issues.
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