Firehose

This paper introduces a system called EMBL AI Librarian that helps AI agents find relevant life-science papers and evidence by providing a natural language interface. Practitioners in life sciences and AI development may care about this paper because it shows how a better knowledge retrieval system can improve the performance of AI agents in various tasks.

This paper creates a system to help scientists and AI agents find and verify specific information in chemistry literature by converting research papers into claims, which are then linked together to form a network of evidence. Practitioners might care because this system could improve the efficiency and accuracy of literature synthesis in chemistry research.

This paper creates a benchmark to test the security capabilities of AI agents in a real-world setting, specifically incident response, and finds that current agents struggle to detect and remediate silent intrusions and produce verified plans.