Core Insights - The article discusses the advancements of an AI system named Physics Supernova, which has shown remarkable performance in solving complex physics problems, indicating a significant breakthrough in AI's ability to tackle scientific reasoning tasks [1][3][4]. Group 1: AI System Performance - Physics Supernova achieved a score of 23.5 out of 30 in the 2025 International Physics Olympiad, ranking 14th among 406 participants and surpassing the average score of human gold medalists [1][3]. - The system utilizes a combination of image analysis and answer verification tools, enhancing its reasoning and problem-solving capabilities in complex scientific contexts [3][4]. Group 2: Technological Framework - The AI system is built on the smolagents framework and employs the CodeAgent architecture, allowing for flexible self-planning and dynamic tool invocation based on problem-solving progress [4][6]. - Two specialized tools, ImageAnalyzer and AnswerReviewer, are integrated into the system to improve its performance in interpreting experimental results and self-correcting errors [6][9]. Group 3: Future Directions - The research team aims to expand the capabilities of AI systems to perform experimental tasks, moving beyond theoretical problems to include practical applications in physics [10][11]. - Future developments may focus on creating methods for verifying physical expressions and enhancing the answer review system with broader knowledge tools [11][12].