A study published in Nature magazine reveals that AI models fed on AI-generated data quickly "collapse" into nonsense. Researchers found that by the ninth generation of training on synthetic text, the output becomes incoherent. This "model collapse" theory suggests that the cost of training models will increase while quality decreases if they cannot access original human-generated content.







