Meta 分享数学家与 Muse Spark 协作完成的六篇数学论文
Following gold-medal-level performance from our AI models across five competitions in mathematics, physics, and chemistry, we asked a harder question: can AI co
Meta 公布六篇由数学家与 Muse Spark 1.1、Muse Spark 1.2 在 Thinking Mode 下协作完成的论文，覆盖概率、微分方程、群论、优化、算术物理和非结合代数六个方向。这些协作通过普通聊天界面进行，没有定制研究脚手架，由数学家主导研究、另一组数学家复核，每篇论文标注哪些段落主要由人类或 AI 起草，并注明所依据的先前研究。Meta 表示目标不是批量生产论文，而是赋能研究者。
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Meta 公开了数学家与 Muse Spark 协作产出六篇论文的流程，读者可据此了解 AI 参与开放数学问题的分工与审核方式。
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Following gold-medal-level performance from our AI models across five competitions in mathematics, physics, and chemistry, we asked a harder question: can AI contribute when a problem is genuinely open and without an existing solution path?
Over the past several months, mathematicians worked with Muse Spark 1.1 and Muse Spark 1.2 in Thinking Mode through the regular https://t.co/wHkMPH82ZH chat interface, with no custom research scaffold, to find solutions to such problems.
Our goal wasn't to mass-produce papers, but empower researchers. Every collaboration followed the same principles: mathematicians guided the research, a second group of mathematicians then reviewed the work, each paper marks which passages were drafted primarily by humans or AI, and each credits the prior research it builds on. Where other teams independently announced solutions to the same problems, we acknowledge their work as well.
Today, we're sharing six papers from that collaboration.
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