LifeSciBench asks AI the kinds of questions researchers face

OpenAI announced LifeSciBench for evaluating decisions in life-sciences research. The company emphasizes expert involvement in preparing and validating tasks, seeking a closer connection between model evaluation and real research questions.

Context

Domain-specific tests become useful when generic questions reveal too little. Every benchmark still covers only part of the work. Interpreting its results requires knowing what information the model receives, how answers are scored, and how closely the tasks resemble the application being considered. Expert construction helps, but does not remove those limits.