AI research systems now have a concrete, scalable evaluation framework grounded in real scientific problems—turning the entire scientific literature into a runnable benchmark where AI can be trained and measured against human researcher achievements.
Scientist World converts research papers into executable environments where AI systems can attempt to solve the open problems described in them. The system automatically extracts research questions from papers, implements baseline methods, and evaluates AI-Scientists against human researcher performance.