Dean Burnett (that brains guy)Digital devices may help ward off cognitive decline in older people
Dr Dean Burnett explores the curious notion that devices and screens may actually prevent 'brain rot' in the older generations.
For New Scientist magazine
Prof. Rachel Thorn 🍉🇺🇦🏳️⚧️🏳️I just can't.
Everyone Is Cheating Their Way Through College ChatGPT has unraveled the entire academic project.
#LLM #AIslop #BrainRot
https://www.removepaywall.com/search?url=https://nymag.com/intelligencer/article/openai-chatgpt-ai-cheating-education-college-students-school.html
Vladimir Savić
BRAINROT!
Ferdi F. Zebua (backup)I am losing faith in the societal utility of participating in social media. Whether decentralized or centralized. Whether profit-motivated or not-for-profit.
And I do not like my losing this faith.
#fzThinkingOutLoud #BrainRot #DeadInternetTheory #RageBaitEconomy #ThisIsWhyWeCantHaveNiceThings
Mario Sixtus
Mario Sixtus 🇭🇰馬六
ScientiaUnicef alerta para risco do uso de inteligência artificial por crianças e adolescentes
- cijnusp
https://jornal.usp.br/atualidades/unicef-alerta-para-risco-do-uso-de-inteligencia-artificial-por-criancas-e-adolescentes/
#Atualidades #Brainrot #IA #Infncia #UNICEF
- cijnusp
https://jornal.usp.br/atualidades/unicef-alerta-para-risco-do-uso-de-inteligencia-artificial-por-criancas-e-adolescentes/
#Atualidades #Brainrot #IA #Infncia #UNICEF
Stefan Köhler#blueLZ #KI #AI #brainrot #socialmedia #Studie #LLMs
@[email protected]
@[email protected] @[email protected] @[email protected]
arxiv.org/abs/2510.13928
LLMs Can Get "Brain Rot": A Pi...
LLMs Can Get "Brain Rot": A Pi...
LLMs Can Get "Brain Rot": A Pilot Study on Twitter/X
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 unveil junk effects, we designed a novel controlled experiment on real Twitter/X corpora, by constructing junk and reverse-controlled datasets via two orthogonal operationalizations: M1 (engagement degree) and M2 (semantic quality), with matched token scale and training operations across conditions. Compared to the control group, continual pre-training of 4 LLMs on the junk dataset causes non-trivial declines (Hedges' g>0.3) on reasoning, long-context understanding, safety, and inflating "dark traits" (e.g., psychopathy, narcissism). The gradual mixtures of junk and control datasets also yield dose-response cognition decay: for example, under M1, ARC-Challenge with Chain-of-Thought drops 72.1 -> 57.2 and RULER-CWE 83.7 -> 52.3 as junk ratio rises from 0% to 100%. Error forensics reveal several key insights. First, we identify thought-skipping as the primary lesion in reasoning: models increasingly truncate or skip chains. Second, partial but incomplete healing is observed: scaling instruction tuning and clean continual pre-training improve the declined cognition, yet cannot restore baseline capability, suggesting persistent representational drift rather than format mismatch. Finally, we discover that the popularity, a non-semantic metric, of a tweet is a better indicator of the Brain Rot effect than the length in M1. Together, the results provide significant, multi-perspective evidence that social effects of data could be a causal driver of LLM capability decay in continual pre-training, thereby motivating routine "cognitive health checks" for deployed and evolving LLMs.
Zorz StudiosThis startup lets you generate entire #AISlop videos: https://zorz.it/KeKwA
#MattGrowcoot #AISlopVideos #BrainRot #GenerativeAI #OpenArt #SocialMedia #technology #startup #GoogleVeo3
Martin Holland"This is why the disinformation frame keeps failing. #Disinformation assumes a sender, a message, a deception, a corrigible subject. Fact-checking assumes wrong information meeting a willing reader. None of that fits #brainrot."
https://tiktoktiktoktiktok.substack.com/p/brainrot-as-anti-content
