https://hackerpaper.kaipfister.de/p/2510.13928/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=45643311urn:hackerpapers:mention:2510.13928:45643311Mon, 20 Oct 2025 12:49:43 GMT<p>Paper link: https://arxiv.org/abs/2510.13928 TL;DR: We show that continued training on junk social posts makes LLMs think worse. This big concern here is that because many teams keep topping up models with web crawls. Feeding highly popular or shallow posts can cause lasting, hard to undo damage. Abstract We propose and test the LLM Brain Rot Hypothesis: continual exposure to junk web text induces lasting cognitive decline in large language models (LLMs). To causally isolate data quality, we run controlled experiments on real Twitter/X corpora, constructing junk and reversely controlled…</p><p><a href="https://hackerpaper.kaipfister.de/p/2510.13928/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CL