Sakana AI 在哈佛创新实验室与 Stephen Wolfram 合办的“Recursive Self Improvement in Mathematics”Hack(OpenMath 2026)中获企业组第一名。团队主要使用 Sakana Fugu 模型和内部智能体工具,贡献了 14 个数学族,其中 6 个为完整解决,并给出新界与结构性进展。团队表示将在后续报告中分享方法与经验。
Sakana AI won 1st place in the company category at the “Recursive Self Improvement in Mathematics” Hack (OpenMath 2026), held with @stephen_wolfram at Harvard Innovation Labs.
Competition: https://rsihouse.ai/openmath
Results: https://bit.ly/4yT2Dav
Drawing mainly on our Sakana Fugu models and internal agentic tools, our team (Rachel Teo, Abderrahmene Hamdi, Wenyi Wang) contributed 14 mathematical families, including 6 complete resolutions, plus new bounds and structural advances.
Thanks to the organizers and everyone involved.
We plan to share more about our approach and learnings in a future report.
来源:Sakana AI · x.com