DeepMind's latest research indicates that large language models (LLMs) exhibit remarkable capabilities in areas beyond text, particularly in the compression of image and audio data. The study found that although LLMs are primarily used for text data, their performance in image and audio compression surpasses that of dedicated compression algorithms. This research redefines LLMs, viewing them as powerful data compressors rather than merely text generation models. The performance of LLMs is influenced by the size of the dataset, providing a new perspective on assessing model performance.