MiroThinker模型

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从盛大到MiroMind:陈天桥押注预测型AI登顶全球榜单
Feng Huang Wang· 2025-09-22 07:44
此次成果是陈天桥在科技领域持续探索的又一力证。从早期开创中国网游时代的盛大网络,到投身前沿 基础研究的天桥脑科学研究院,再到如今全力投入人工智能,陈天桥始终聚焦于探索未来的前沿科技。 据了解,MiroMind不仅在性能上取得突破,也积极拥抱开源生态。其MiroFlow框架已完全开源,而自 研的旗舰模型MiroThinker也即将向全球开发者开放,旨在为行业提供一个可复现、可迭代的创新者平 台。目前,陈天桥正持续投入并邀请全球AI人才加入,共同推进预测型AI的发展。 MiroMind在实战测试中展现了其强大的系统性分析能力。例如,它通过一个包含制定计划、获取数 据、理解规则、动态更新和概率分析的五步策略,成功预测了2025年9月9日ATP男子单打的精确排名。 此外,它还通过分析市场基准、量化波动、梳理外部因素等六个步骤,对数字加密货币Solana在特定日 期的关键价格档位做出了准确预判。这些案例证明,该模型具备整合海量数据(603138)、进行严密逻 辑推理以及在不确定性中量化风险的核心能力。 凤凰网科技讯 9月22日,由盛大网络创始人陈天桥创立的AI公司MiroMind,在全球首个动态实时LLM 智能体未来预 ...
重磅!陈天桥创立的AI公司MiroMind打造出全球顶尖预测型大模型,性能领先行业基准
Tai Mei Ti A P P· 2025-09-21 15:47
Core Insights - MiroMind, developed by entrepreneur Chen Tianqiao, has become a leading predictive large model, winning the FutureX benchmark for two consecutive weeks [2][8] - The model utilizes a memory-driven mechanism designed specifically for prediction and decision-making, distinguishing it from traditional generative models [2][8] - MiroMind's success in predicting complex outcomes, such as ATP tennis rankings, demonstrates its advanced capabilities in handling intricate data and variables [8][13] Company Overview - MiroMind is a project initiated by Chen Tianqiao and Tsinghua University associate professor Dai Jifeng, aiming to create a general artificial intelligence (AGI) company [8][10] - The company has launched the MiroMind Open Deep Research (Miro ODR) project, which is fully open-source and aims to foster collaboration within the AI research community [10][12] - MiroMind's framework, MiroFlow, achieved a GAIA validation score of 82.4, surpassing many existing AI models [11][12] Industry Context - FutureX, the benchmark where MiroMind excels, is a collaborative initiative involving ByteDance and several prestigious universities, focusing on real-time predictions in AI [5][8] - The ability to predict future events is considered a key measure of intelligence, aligning with the industry's goal of developing AGI [5][8] - Chen Tianqiao emphasizes the need for patient capital in the tech innovation sector, advocating for long-term investment strategies rather than short-term gains [14][15]