机器之心报道 机器之心编辑部 科技的走向、股市的涨跌、比赛的胜负、选举的结果…… 在 AI 时代，未来还会像过去那样不可知吗？ 全球首个动态实时 LLM 智能体未来预测基准 FutureX 推 出， 被马斯克称为衡量智能的最佳标准。 9 月 18 日，全球创新企业家、慈善家陈天桥旗下的 MiroMind 团队在这一 AI 未来大考中，连续第二周蝉联冠军。与专注文本输出的生成式模型不同，MiroMind 采用记忆驱动机制，专为预测与决策设计，旨在打造全球最好的预测大模型。 科幻电影早已为我们描绘过可能性：《少数派报告》AI 预测犯罪，让「未发生的事件」变得可防可控；《Her》智能系统能够预测人类行为和选择。今天，这些幻 想正逐步照进现实。 长期以来，AI 评估大多停留在答案已知的静态问题上，如同学生反复练习往年高考试卷。然而，真正有价值的能力是对未知未来的准确预测。投资和规划将不再 依赖盲目试错，可以提前洞察趋势，把握机遇，有效规避风险，真正掌握主动权。毕竟，谁不曾幻想过回到过去，提前买入 Nvidia 或 Tesla 呢？ 正如伊隆・马斯克所说：「预测未来的能力是衡量智能的最佳标准。」让 AI 具备像人类一样 ...

Core Insights - MiroMind aims to build a self-aware digital agent ecosystem, focusing on the continuous evolution of Artificial General Intelligence (AGI) through community collaboration and open-source principles [2][4]. Group 1: Open Source Ecosystem - MiroMind has developed a comprehensive open-source ecosystem that includes the Agent framework (MiroFlow), models (MiroThinker), data (MiroVerse), and training infrastructure (MiroTrain/MiroRL), all of which are open for learning, reuse, and further development [1][8]. - The MiroFlow framework achieved a state-of-the-art (SOTA) score of 82.4 on the GAIA validation set, surpassing existing commercial model APIs [1][12]. - MiroThinker, the core model, reached a SOTA performance of 60.2% on the GAIA-Text-103 dataset, nearing the performance level of OpenAI's Deep Research [1][15]. Group 2: Community Collaboration - MiroMind fosters a developer-centric environment that encourages community participation through data requests, feature customization, and technical challenges, with feedback directly influencing project development [2][22]. - The project organizes various community activities such as competitions, leaderboards, and hackathons to enhance developer engagement and contribution [22]. Group 3: Key Personnel - The project is led by Chen Tianqiao, a renowned entrepreneur known for his strategic vision and significant contributions to brain science and AI [4]. - Dai Jifeng, a key figure in the project, is a professor at Tsinghua University with extensive experience in computer vision and deep learning, having published over 80 papers with significant citations [5][6].