![\"Researchers](\"https:\/\/www.newsbeep.com\/ie\/wp-content\/uploads\/2025\/10\/ai-brain-rot.jpg\")
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\t\t\tIllustration by Tag Hartman-Simkins \/ Futurism. Source: Getty Images<\/p>\n
If you\u2019ve spent any time around kids lately, you\u2019ve probably heard about \u201cbrain rot<\/a>.\u201d Named Oxford Word of the Year in 2024<\/a>, it\u2019s defined as the \u201csupposed deterioration of a person\u2019s mental or intellectual state, especially viewed as the result of overconsumption of material (now particularly online content) considered to be trivial or unchallenging.\u201d<\/p>\n As it turns out, it\u2019s not just human minds getting rotted by low-effort memes like \u201c6-7<\/a>\u201d and \u201cskibidi toilet<\/a>\u201c: in new research, a team from Texas A&M University, the University of Texas at Austin, and Purdue University found that \u201ccontinual exposure to junk web text induces lasting cognitive decline in large language models (LLMs).\u201d<\/p>\n The resulting study<\/a> is yet to be peer reviewed, but its findings suggest that AI\u2019s sense of reasoning and contextual understanding declines as it\u2019s trained on brain rot material. Basically, the researchers fed LLMs viral or clickbaity posts from X-formerly-Twitter, and found that they essentially started to abandon parts of their thinking processes \u2014 a phenomenon they termed \u201cthought-skipping,\u201d in which \u201cmodels increasingly truncate or skip reasoning chains, explaining most of the error growth.\u201d Worst of it, researchers found that exposing AI to brain rot content also seemed to nudge it toward psychopathy and narcissism.<\/p>\n None of that is entirely surprising. In humans, studies show that low-effort and brain rot content is associated with academic procrastination<\/a>, diminished cognitive function<\/a>, dissociative states,<\/a> and even negative implications on physical health<\/a>. Social media, which once felt like a place to connect with others, increasingly feels like an endless slop feed that\u2019s making us dumber, sadder, slower and less healthy.<\/p>\n Though humans and machines learn differently, there are similarities. Both ingest existing material and learn patterns from it, so the lower quality those inputs are, the less accurately both biological and digital brains will be able to accurately map patterns onto novel cognitive challenges.<\/p>\n A grim addendum: even when the researchers attempted to \u201cheal\u201d the digital malnutrition of the LLMs by introducing higher-quality content, the damage persisted.<\/p>\n \u201cThe gap implies that the Brain Rot effect has been deeply internalized, and the existing instruction tuning cannot fix the issue. Stronger mitigation methods are demanded in the future,\u201d the researchers warned.<\/p>\n This study underlines the dangers of training AI models on unregulated trash data \u2014 especially when research is already starting to show<\/a> that humans who rely too much on AI end up with diminished cognitive abilities of them own.<\/p>\n