OpenAI and Ligo Launch BioBasicsBench for Wet-Lab Analysis

OpenAI introduced BioBasicsBench, a benchmark developed with enzyme design biotech company Ligo to measure how AI agents handle routine wet-lab analyses. It draws on 100 tasks from real experiments to test whether agents can interpret raw lab data, identify errors, and recognize when evidence does not support a conclusion. OpenAI says the benchmark shows where models need to improve and helps track what those gains mean for scientific progress, biosafety, and biosecurity.

OpenAI introduces BioBasicsBench, a 100-task benchmark measuring how well AI agents interpret raw experimental data and handle everyday wet-lab science.