The LABBench2 framework evolves previous benchmarks to measure how AI systems perform actual scientific work. It moves beyond rote knowledge and basic reasoning toward real-world biology research tasks. This shift allows developers to quantify the utility of agentic systems in autonomous labs. Practitioners can now better validate hypothesis generation accuracy.