Meta FAIR's AIRA Agent Wins Kaggle Gold Medal After Training in Custom AI Dojo

Meta's Fundamental AI Research (FAIR) team developed AIRA, an AI agent system that progressed from a purpose-built training environment called AIRA-dojo to winning a gold medal in a real Kaggle competition with roughly 4,000 participating teams. The research, detailed in a multi-part series published in September 2026, showed that simply moving an existing agent called AIDE into the improved dojo environment — without modifying the agent itself — raised its MLE-bench lite medal rate from 35.2% to 45.9%. Further gains came from redesigning the agent's core operators and search strategies, with the best configuration achieving a then-record 47.7% medal rate on the 22-problem lite benchmark using the o3 model. A key finding was that environmental quality — such as cleaner dependency management and reduced overhead — contributed as much to performance as model upgrades. The work suggests AI development teams should audit their agent's operating environment before investing in more powerful underlying models.