Chinese AI solves decade-old maths problem in hours, with no human intervention
A Chinese AI framework developed by a Peking University-led team has autonomously solved a decade-old open problem in commutative algebra posed by the late US mathematician Dan Anderson in 2014. The AI framework synthesized decades of mathematical literature to bridge natural language reasoning and formal machine verification.

Briefing Summary
AI-generatedA Chinese AI framework developed by a Peking University-led team has autonomously solved a decade-old open problem in commutative algebra posed by the late US mathematician Dan Anderson in 2014. The AI framework synthesized decades of mathematical literature to bridge natural language reasoning and formal machine verification. The AI successfully resolved Anderson's conjecture and verified its own findings with essentially no human intervention. The team published their findings in a preprint paper on April 4th on arXiv. The AI framework performed mathematical tasks faster than humans, completing work that typically requires collaboration between experts in different fields.
Article analysis
Model · rule-basedKey claims
4 extractedUsing this framework, we successfully solved an open problem in commutative algebra and automatically formalised the proof with essentially no human intervention.
The dual-agent framework solved the problem posed in 2014 by former University of Iowa professor Dan Anderson.
A Chinese AI framework has autonomously resolved an open problem proposed more than a decade ago by a US mathematician.
The team’s AI framework was able to perform mathematical tasks faster than human mathematicians.