研究人员警告称，人工智能生成内容的增加可能会导致人工智能系统的模型崩溃。 Researchers warn that increasing AI-generated content may lead to model collapse in AI systems.
研究人员警告称，随着互联网上越来越多地充斥着人工智能生成的内容，人工智能系统可能会崩溃而变得毫无意义。 Researchers have warned that AI systems could collapse into nonsense as the internet becomes increasingly filled with content generated by artificial intelligence. 当使用其他模型创建的数据进行训练的人工智能模型产生乱码和无意义的响应时，就会发生这种“模型崩溃”。 This "model collapse" occurs when AI models, trained on data created by other models, produce gibberish and nonsensical responses. 随着越来越多的人工智能生成内容的发布，模型崩溃的风险会增加，用于训练这些系统的数据会受到污染，从而可能会阻碍大型语言模型的进展。 The risk of model collapse increases as more AI-generated content is published, and the data used to train these systems becomes polluted, potentially hindering the progress of large language models.