Synthetic data is seen as a potential fix to the shortage and other challenges of AI training data, offering the ability for AI to grow with data produced by AI, potentially addressing training data scarcity and copyright issues.
Despite efforts by companies like Anthropic, Google, and OpenAI to develop quality synthetic data, current AI models built on such data have faced significant problems, referred to as 'Habsburg AI' and 'Model Autophagy Disorder.'
A checks-and-balances system by companies like OpenAI and Anthropic involves one model generating data while another verifies its accuracy, aiming to overcome challenges in creating synthetic data without causing issues in AI systems.
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