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AI co-mathematician: Accelerating mathematicians with agentic AI (arxiv.org)
3 points by aoki 143 days ago | hide | past | pdf | discuss on HN

In plain words: A workspace where mathematicians brainstorm, search papers, run calculations, and prove theorems with AI helpers that remember progress and log dead-end ideas. It helped solve open problems, and scored 48% on the hardest tier of a math problem set, beating every AI system tested.

Abstract

We introduce the AI co-mathematician, a workbench for mathematicians to interactively leverage AI agents to pursue open-ended research. The AI co-mathematician is optimized to provide holistic support for the exploratory and iterative reality of mathematical workflows, including ideation, literature search, computational exploration, theorem proving and theory building. By providing an asynchronous, stateful workspace that manages uncertainty, refines user intent, tracks failed hypotheses, and outputs native mathematical artifacts, the system mirrors human collaborative workflows. In early tests, the AI co-mathematician helped researchers solve open problems, identify new research directions, and uncover overlooked literature references. Besides demonstrating a highly interactive paradigm for AI-assisted mathematical discovery, the AI co-mathematician also achieves state of the art results on hard problem-solving benchmarks, including scoring 48% on FrontierMath Tier 4, a new high score among all AI systems evaluated.

Daniel Zheng, Ingrid von Glehn, Yori Zwols, Iuliya Beloshapka, Lars Buesing, Daniel M. Roy, Martin Wattenberg, Bogdan Georgiev, Tatiana Schmidt, Andrew Cowie, Fernanda Viegas, Dimitri Kanevsky, et al.
arXiv:2605.06651 · cs.AI · submitted May 7, 2026 · updated May 13, 2026
abstract · pdf · html · 23 pages; several citations added

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