OpenAI releases 100-task test of AI agents on wet-lab analysis

A new way to measure how AI agents handle the routine analyses of wet-lab science—BioBasicsBench. Developed with Ligo, a biotech company focused on enzyme design, the benchmark draws on 100 tasks from real experiments to test whether agents can interpret raw lab data, identify errors, and recognize when the evidence doesn’t support a conclusion. Accelerating biological research starts with getting the everyday work right. BioBasicsBench shows where models need to improve, and helps us track what those gains mean for scientific progress, biosafety, and biosecurity.

OpenAI introduced BioBasicsBench, a 100-task test built with Ligo to check whether AI agents can interpret wet-lab data, spot errors and tell when evidence is too weak to support a conclusion.