A new benchmark, Terminal-Bench-Science, has been released to evaluate AI agents on complex scientific research tasks. Developed by researchers at Stanford University and a global team of domain experts, it features 70 tasks across various scientific disciplines. The strongest model evaluated, Claude Opus-5, achieved a 30% resolution rate on the initial release, highlighting the significant gap between current AI capabilities and the demands of real-world scientific workflows. AI
IMPACT Highlights the gap between current AI capabilities and the demands of real-world scientific research, emphasizing the need for AI agents that can produce validated artifacts rather than just explanations.
RANK_REASON Release of a new benchmark for evaluating AI agents on scientific tasks.
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