代季峰陈天桥联手AGI首秀炸场！最强开源深度研究模型，GAIA测试82.4分超OpenAI

Core Insights - MiroMind ODR (Open Deep Research) is introduced as a powerful open-source deep research model, achieving a GAIA score of 82.4, surpassing other models like OpenAI's Deep Research and Manus [1][4][32] - The project is fully open-source, including its core model, data, training processes, AI infrastructure, and DR agent framework, allowing for reproducibility [3][4][15] - The team plans to maintain a monthly update schedule for open-source contributions, indicating a commitment to continuous improvement and community engagement [4][21] Performance Metrics - MiroMind ODR achieved a GAIA score of 82.4, while OpenAI's Deep Research scored 67.4 and Manus scored 73.3, highlighting MiroMind's superior performance [4][19] - The model MiroThinker, part of the ODR project, has shown state-of-the-art performance with a score of 60.2% on GAIA-Text-103 [19][21] Project Components - MiroMind ODR consists of four sub-projects: MiroFlow (Agent framework), MiroThinker (model), MiroVerse (data), and MiroTrain (training infrastructure), each contributing to the overall functionality and performance of the deep research model [15][21] - MiroFlow supports multiple mainstream tool calls and extends large language models for tool-assisted deep research reasoning [18][21] - MiroVerse provides 147,000 open-source training datasets, focusing on community feedback and continuous updates [21][32] Leadership and Vision - Dai Jifeng, a prominent figure in the project, has a strong academic background and extensive experience in computer vision and deep learning, having published over 80 papers with significant citations [26][30] - The mission of MiroMind is to develop self-aware digital entities that evolve with the community, aiming for safe and beneficial AGI [30][32]