AI tagged posts

Size doesn’t matter: Just a small number of malicious files can corrupt LLMs of any size

Size doesn't matter: just a small number of malicious files can corrupt LLMs of any size
Overview of our experiments, including examples of clean and poisoned samples, as well as benign and malicious behavior at inference time. (a)DoS pretraining backdoor experiments. Credit: arXiv (2025). DOI: 10.48550/arxiv.2510.07192

Large language models (LLMs), which power sophisticated AI chatbots, are more vulnerable than previously thought. According to research by Anthropic, the UK AI Security Institute and the Alan Turing Institute, it only takes 250 malicious documents to compromise even the largest models.

The vast majority of data used to train LLMs is scraped from the public internet. While this helps them to build knowledge and generate natural responses, it also puts them at risk from data poisoning attacks...

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Novel antibiotic targets IBD—and AI predicted how it would work before scientists could prove it

Two researchers pose in a university laboratory.
McMaster graduate student Denise Catacutan (left) and assistant professor Jon Stokes (right) have discovered a new antibiotic — and they leveraged cutting-edge AI to determine how it works.

Researchers at McMaster University and the Massachusetts Institute of Technology (MIT) have made two scientific breakthroughs at once: they not only discovered a brand-new antibiotic that targets inflammatory bowel diseases (IBD), but also successfully used a new type of AI to predict exactly how the drug works. To their knowledge, this is a global first for the AI.

Detailed in the journal Nature Microbiology, the discovery unveils a promising new treatment option for millions of people affected by Crohn’s disease and other related conditions, while also showcasing important new applications fo...

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Smart blood: How AI reads your body’s aging signals

Smart blood: How AI reads your body's aging signals
Credit: npj Systems Biology and Applications (2025). DOI: 10.1038/s41540-025-00580-4

Could a simple blood test reveal how well someone is aging? A team of researchers led by Wolfram Weckwerth from the University of Vienna, Austria, and Nankai University, China, has combined advanced metabolomics with cutting-edge machine learning and a novel network modeling tool to uncover the key molecular processes underlying active aging.

Their study, published in npj Systems Biology and Applications, identifies aspartate as a dominant biomarker of physical fitness and maps the dynamic interactions that support healthier aging.

It has long been known that exercise protects mobility and lowers the risk of chronic disease...

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Google’s top AI scientist says ‘learning how to learn’ will be next generation’s most needed skill

Google's top AI scientist says ‘learning how to learn’ will be next generation's most needed skill
Demis Hassabis, CEO of Google’s artificial intelligence research company DeepMind, right, and Greece’s Prime Minister Kyriakos Mitsotakis discuss the future of AI, ethics and democracy during an event at the Odeon of Herodes Atticus, in Athens, Greece, Friday, Sept. 12, 2025. Credit: AP Photo/Thanassis Stavrakis

A top Google scientist and 2024 Nobel laureate said Friday that the most important skill for the next generation will be “learning how to learn” to keep pace with change as Artificial Intelligence transforms education and the workplace.

Speaking at an ancient Roman theater at the foot of the Acropolis in Athens, Demis Hassabis, CEO of Google’s DeepMind, said rapid technological change demands a new approach to learning and skill development.

“It’s very hard to predict the...

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