迈向AI4S 2.0，上海AI实验室开源书生万亿科学大模型Intern-S1-Pro

Core Insights - The Shanghai Artificial Intelligence Laboratory has launched the Intern-S1-Pro, a trillion-parameter scientific multimodal model, marking a significant advancement in AI4S from a "tool revolution" to a "revolutionary tool" driving scientific discovery [1][2] - Intern-S1-Pro is the largest scientific multimodal model in the global open-source community, demonstrating superior capabilities in complex scientific reasoning and logic, achieving gold medal-level performance in international assessments [1][3] Model Architecture and Innovations - Intern-S1-Pro utilizes a mixture of experts (MoE) architecture with 512 experts and a total of 1 trillion parameters, activating only 8 experts and 22 billion parameters per call, enhancing both general and scientific capabilities [1][5] - The model incorporates innovations such as Fourier Position Encoding and a restructured temporal encoder, enabling a unified understanding of various scientific signals from micro to macro scales [5][6] - A new routing mechanism has been developed to improve training efficiency and resource allocation, addressing traditional challenges in large-scale model training [6][7] Performance Metrics - Intern-S1-Pro has achieved outstanding results across various benchmarks, including: - 55.5 in comprehensive scientific reasoning (SciReasoner) - 72.8 in material property assessment (Mat Bench) - 93.1 in mathematical reasoning (AIME-2025) [3][4][8] - The model excels in both general and specialized scientific tasks, maintaining a leading position in the open-source model landscape [9][10] Applications and Capabilities - Intern-S1-Pro demonstrates advanced capabilities in understanding complex molecular structures and scientific data, extending its application from micro-level tasks to macro-level analyses [9][10] - The model supports a wide range of scientific disciplines, including chemistry, materials science, biology, earth science, and physics, with over 100 specialized sub-tasks [8][9] Open Source and Community Engagement - The launch of Intern-S1-Pro is part of a broader initiative to create an open and collaborative AGI4S infrastructure, aimed at lowering barriers for global research teams [2][13] - The Shanghai AI Laboratory has established a comprehensive open-source tool ecosystem for model development and application, fostering an active community of developers [12][13]