16 Out of 302: When AI's First Viruses Are Rare but Already Better Than Nature's
Scientists at Stanford and the Arc Institute have used generative AI to design complete, functioning viral genomes — the first time a machine-written genome has produced a working virus. Published this week in Science, the work by Brian Hie's lab used the Evo 2 genome language model to write novel bacteriophage DNA targeting E. coli. The AI generated 302 candidate genomes; 285 assembled completely; just 16 proved viable. A 5.3% success rate sounds reassuring — until you notice what survived the funnel. The…