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Large language models can develop cognitive declines similar to human “brain rot” when trained on highly engaging but low-quality social media content, such as short, attention-grabbing posts full of all-caps urgency and trivial claims. Researchers led by Dr. Zhengzhong Tu in the Department of Computer Science and Engineering at Texas A&M University showed that this junk data causes models to skip reasoning steps, shift ethical responses, and become difficult to recover even with cleaner training—findings detailed in this paper and accepted at the 2026 Conference on Language Modeling. The work underscores that data quality may matter more than model architecture, warning of a potential feedback loop in which AI both absorbs and amplifies the same shallow content that affects human attention.

https://news.engineering.tamu.edu/news/2026/10/19/ai-models-can-get-brain-rot-too/

The Graduate Certificate in Artificial Intelligence Engineering offered by the College of Engineering provides professionals and degree-seeking students a streamlined way to specialize in AI. Drawing from Electrical and Computer Engineering, Computer Science, and Software Engineering, the program covers core AI principles, advanced machine learning and deep learning for engineering challenges, and the hardware and software foundations for building AI systems. With hands-on, industry-focused training, it prepares graduates for expanded opportunities in the fast-growing AI sector.

https://catalog.arizona.edu/programs/AIECRTG

Texas voters were asked in October 2026 how personally concerned they are about the impact of AI as an economic issue facing the country. The responses are broken down by party, ideology, race, gender, community type, age, education, and religiosity.

https://texaspolitics.utexas.edu/set/concern-about-the-impact-of-artificial-intelligence-ai-october-2026

The University of Sheffield is hiring a postdoctoral Research Associate for its world-leading NLP group to work on the European-funded ANTIGONE project, applying explainable machine learning and NLP to analyze online disinformation narratives, enhance a user-facing verification toolkit, and evaluate commercial chatbots and AI-generated search overviews.

This collaborative role involves working with European partners, publishing high-impact research and translating it into practical toolkits and white papers, within a top-rated School of Computer Science that offers extensive benefits and conference support.The University of Sheffield is hiring a postdoctoral Research Associate for its world-leading NLP group to work on the European-funded ANTIGONE project, applying explainable machine learning and NLP to analyze online disinformation narratives, enhance a user-facing verification toolkit, and evaluate commercial chatbots and AI-generated search overviews.

This collaborative role involves working with European partners, publishing high-impact research and translating it into practical toolkits and white papers, within a top-rated School of Computer Science that offers extensive benefits and conference support.

https://www.jobs.ac.uk/job/DTI230/research-associate-in-machine-learning-and-natural-language-processing

The Spatial Artificial Intelligence Lab at the University of Houston seeks a Postdoctoral Fellow in Computational Medicine to develop AI and machine-learning methods that integrate biomedical imaging, single-cell and spatial omics, and clinical data for cancer research and precision medicine. The role centers on building computational pipelines, analyzing tissue architectures and tumor microenvironments, publishing high-impact work, and collaborating across disciplines while mentoring students. Applicants with a relevant PhD and strong Python or R skills can apply here:

https://careers.uh.edu/jobs/post-doctoral-fellow-computational-medicine-houston-texas-united-states