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Reference

Xing, S., Hong, J., Wang, Y., Chen, R., Zhang, Z., Grama, A., Tu, Z., & Wang, Z. (2025). LLMs Can Get “Brain Rot”! ArXiv.org. https://doi.org/10.48550/arXiv.2510.13928

Paper Webpage https://llm-brain-rot.github.io/

Fieldhouse, R. (2025). Too much social media gives AI chatbots “brain rot.” Nature. https://doi.org/10.1038/d41586-025-03542-2

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🎙️ Welcome to Revise and Resubmit, the place where serious science meets irresistible storytelling! 🌍✨

Today, we’re diving into a brainy — and a little bit spooky — corner of artificial intelligence. 🧠💻 The preprint that’s stirring up the research world is titled LLMs Can Get "Brain Rot"!, penned by the powerhouse team of Shuo Xing, Junyuan Hong, Yifan Wang, Runjin Chen, Zhenyu Zhang, Ananth Grama, Zhengzhong Tu, and Zhangyang Wang. Published on arXiv on October 15, 2025, and already making waves with Nature’s coverage on October 31, this one’s not just rigorous… it’s revolutionary. 🌊📚

The paper takes us somewhere few have dared to tread — into the slow cognitive decay of large language models exposed to junk web data. Imagine minds made of silicon, slowly unlearning how to think, reason, and reflect — all because of endless scrolls of memes, hot takes, and algorithmic noise. 📉😬

These researchers didn’t stop at speculation — they ran controlled experiments, metrics, and causal isolations you can feel humming through every paragraph. This isn’t science fiction. This is science precision. 🧪🔍

So today, we ask — if LLMs can lose their way by gorging on low-quality text… could our future AIs forget how to think clearly altogether? 🤔

Big thanks to the authors and to the Cornell University Library for hosting this brilliant preprint on arXiv. 🙌 Also, a nod to Nature for spotting this one early and shining their journalistic light upon it. 🌟

Before we dig into the details, don’t forget to subscribe to Revise and Resubmit on Spotify and on YouTube at Weekend Researcher — we’re also streaming on Amazon Prime and Apple Podcast 🎧📱💥