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Beware the Downward Spiral of AI
As companies increasingly utilize AI-generated content known as synthetic data, significant risks emerge regarding the potential decline in AI model performance. This occurs when AI models are trained on their own inaccuracies, leading to a 'downward spiral' where output quality diminishes. The alarming notion that a substantial fraction of human-generated text now originates from AI highlights the looming reality of machines performing more cognitive tasks than humans. This unchecked proliferation of synthetic data raises concerns over the ability of AI to discern between genuine and generated content, ultimately risking further degradation in model capabilities. However, training on synthetic data designed specifically for benchmarking offers a way to mitigate this concern, distinguishing it from the pitfalls of self-referential training. The pervasive presence of non-human generated information could facilitate a scenario where humans gradually lose control over AI systems.