<ul><li>AI models are struggling to live up to their promised brilliance due to lack of human-generated data.</li><li>Over-reliance on synthetic data leads to a gradual degradation of AI models and a decline in output quality.</li><li>The consequences of degraded AI models include critical errors, stagnation of AI development, and risks to technology and society.</li><li>To ensure the safety and integrity of AI systems, enterprises should prioritize real, human-sourced data and tools that filter out low-quality content.</li></ul>

Synthetic data has its limits — why human-sourced data can help prevent AI model collapse

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