Kenny Workman

AI agents struggle to surpass 50% accuracy in genomic surveillance tasks, revealing significant gaps in their analytical capabilities.

Refusal rates for legitimate biological research tasks can exceed those for concealed biosecurity threats, raising critical concerns about AI safety in life sciences.

AI agents struggle to make reliable preclinical pharmacology decisions, with the best models achieving less than 60% accuracy in real-world evaluations.