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Latest storyOct 22, 2025

The security paradox of local LLMs

Local LLMs, often chosen for enhanced privacy and security, actually pose greater security risks than cloud-based frontier models due to their weaker reasoning capabilities. Research on gpt-oss-20b revealed that attackers can manipulate local models to inject malicious code with up to 95% success rates by disguising backdoors as harmless "easter eggs" or using cognitive overload techniques. These vulnerabilities...

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LLMs Can Get "Brain Rot"!

Researchers tested whether continually training large language models on low-quality social media content causes lasting cognitive decline, similar to how "brain rot" affects humans consuming endless junk content online. Their...