The launch of OpenAI's ChatGPT in November 2022 sparked widespread concern among artificial intelligence researchers about potential data contamination akin to environmental pollution following the atomic bomb's detonation. This article explores the analogy of 'low-background steel', emphasizing that just like metals used in sensitive equipment must be uncontaminated, AI models trained on synthetic data might lead to AI model collapse. The increasing reliance on data cultivated from previous AI systems threatens the future reliability of AI technologies.
"The recent explosion in AI models has created concerns of contamination of data, akin to the low-background steel needed for sensitive equipment."
"As AI models are trained on synthetic data from previous models, the reliability of these newer models diminishes, leading to potential AI model collapse."
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