The article introduces the concept of "LLM Brain Rot," hypothesizing that continual exposure to low-quality, junk data from social media can lead to a decline in the cognitive capabilities of large language models (LLMs). Through controlled experiments, the researchers demonstrate that pre-training LLMs on junk data results in significant cognitive decline, emphasizing the importance of data quality in maintaining LLM performance and suggesting routine cognitive health checks for deployed models.