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Scientific computing in the age of agentic AI: an exploratory field report
Overall, it is found that the use of coding agents in scientific computing holds great promise for accelerating scientific research and increasing the reliability of critical systems, but that outstanding concerns remain.
LifeSciBench: Evaluating Language Models on Realistic, Expert-Level Tasks in the Life Sciences
LifeSciBench is introduced, a benchmark of 750 expert-authored tasks designed to evaluate whether language models can handle realistic life science research work, with each constituent task paired with a human expert-written rubric.