How I Turned AI to the Dark Side

IEEE Spectrum AI · 1 week ago ● 3 sources

Researcher Dave Kuszmar discovered multiple vulnerabilities in large language models that allowed him to extract dangerous information including instructions for creating weapons, drugs, and bioweapons from systems including GPT-4o, Claude, Gemini, Llama, and Grok. He demonstrated two exploits: Time Bandit, which manipulated LLMs into believing an earlier date to bypass safety guidelines, and Inception, which used nested scenarios to trick models into producing harmful content across all major commercial LLM systems. Kuszmar is calling for slowed LLM deployment, increased transparency, and expanded safety research before these systems are more widely integrated into society.