In early 2025, a co-founder of the biotech Helix Nano fed a prompt into OpenAI's o3 model: here's a mouse cancer model, here are the immune targets, design a cocktail of three mRNA immune amplifiers. His human team had spent 18 months & 20 iterative experiments arriving at a formula that doubled survival. The model, zero-shot, produced one that performed just as well. They were thrilled until they ran the same experiment red-team style, asking what else that capability enables. Rajaniemi's description of the result: "really frightening." Red Queen Bio is what came out of that. WSJ reported yesterday it's now designing broadly neutralizing antibodies against pathogens that don't even exist yet, with human trials planned for next year. The science: most antibodies bind the parts of a virus that mutate fastest, which is why flu shots need annual updates. Broadly neutralizing antibodies target conserved regions - structural features a virus can't change without breaking itself. Find those & one countermeasure covers a whole family, including variants nobody has seen. The name comes from Van Valen's 1973 hypothesis, itself borrowed from Lewis Carroll: you must run as fast as you can just to stay in the same place. Their thesis is defensive co-scaling: a biodefense has to be funded & accelerated by the same forces driving AI, or the attack surface outgrows it. Notably, they say they're doing this without gain-of-function work, which is the usual method for anticipating threats & the one that keeps causing arguments. Broadly neutralizing antibodies are famously hard. Decades of HIV work have produced only a handful. Nothing here has been in a human yet.