FutureHouse: Building Semi-Autonomous AI Scientists

2025-03-22
FutureHouse: Building Semi-Autonomous AI Scientists

FutureHouse, a San Francisco-based non-profit, is on a mission to automate scientific discovery using AI. They've developed a suite of "crow"-themed tools, including ChemCrow for designing chemical reactions, WikiCrow for summarizing protein information, ContraCrow for identifying contradictions in literature, and the PaperQA series for reliable PDF querying. FutureHouse aims to build semi-autonomous AI scientists, ranging from predictive models to eventually humanoid robots capable of running experiments independently, ultimately accelerating scientific discovery and addressing issues like the difficulty in summarizing and the unreliability of biomedical literature. Challenges include building infrastructure, accessing data, and tackling engineering problems, but AI models excel at hypothesis generation and conclusion drawing. FutureHouse emphasizes the reliability of AI scientists and is dedicated to addressing issues through improved data analysis and reproducibility.