OpenAI Launches BioBasicsBench to Evaluate AI Agents on Routine Wet-Lab Science

Skynet Chance (+0.01 pp): Measuring agent competence in wet-lab biology helps track dual-use biological capabilities, which aids oversight. It also signals a push toward agents operating in sensitive biological domains, so the net effect is a slight increase in risk.

Skynet Date (no change): A dedicated benchmark creates an optimization target that may modestly speed agent capabilities in real-world science. This could slightly accelerate the arrival of risky autonomous scientific systems.

AGI Progress (+0.01 pp): The benchmark extends agent evaluation into practical scientific work with messy raw data, an important domain for general capability. A benchmark is a measurement tool rather than a capability jump in itself.

AGI Date (no change): Clear benchmarks tend to focus lab efforts and speed progress in targeted areas such as AI-driven science. That pushes modestly toward faster development of scientifically capable agents.