The AI industry is running out of real-world data, sparking interest in synthetic data as an alternative. Synthetic data is being considered as a replacement, although concerns exist about its quality and impact on AI models.
The allure of synthetic data lies in its potential to provide a seemingly infinite and cost-effective source of training data. However, debates surround whether it could lead to AI models being poisoned by low-quality information and facing potential collapse.
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