Editorial illustration for Google outperforms OpenAI on math benchmark, winning 9 to 1 ratio
Google outperforms OpenAI on math benchmark, winning 9...
Google just pulled off a very public, very embarrassing dunk on OpenAI. The fight was about solving famously tricky math puzzles, and the result was a brutal nine to one.
Google DeepMind's system, AlphaProof Nexus, cracked nine unsolved Erdős problems. OpenAI had announced it solved one just a day before. Google's haul included two problems mathematicians had been stuck on since 1968.
GOOGLE 🧮 Google’s AI cracks nine unsolved math problems Image source: Images 2.0 / The Rundown The Rundown: Google DeepMind’s AlphaProof Nexus, an AI system that generates machine-verified mathematical proofs, solved nine open Erdős problems, including two unsolved for 56 years, just a day after OpenAI claimed its own Erdős breakthrough.
The numbers are stark. This is less a competition and more a demonstration of a widening gap in a specific, critical arena. It proves these systems can now reliably hunt for answers to questions that have officially been open for generations.
The machine's job is to generate proofs so logically airtight a computer can verify them. No ambiguity. That mechanical certainty is the point.
Human mathematicians won't be replaced. They might, however, start getting a lot more help cleaning up the oldest, dustiest items on the discipline's to-do list. The field just got a new, relentlessly precise tool.
Related Reading
Browse all OpenAI news →
Research & Benchmarks Google's FACTS benchmark shows 70% factuality ceiling across four tests
Research & Benchmarks Databricks finds multi-step agents beat single-turn RAG by 21% to 38% on STaRK
Research & Benchmarks Nvidia's DLSS 4.5 beta adds 6x Multi Frame Generation for RTX 50 GPUs
Related Topic OpenAI researcher quits, citing distrust over ad‑driven engagement metrics
LLMs & Generative AI
Related Topic OpenAI launches GPT-Image 1.5 with precise editing for enterprise visuals
LLMs & Generative AI
From Archives ByteDance study: LMMs answer questions better than full-page transcription
From Archives Language Models Forecast Research Success Using 11,488 Comparative Idea Pairs
From Archives OpenAI’s Q1 2026 adjusted margin slips to –122%, burning USD 1.22 per USD 1 earned
Business & Startups
From Archives AI Leap and OpenAI integrate global AI expertise into Estonia's schools
Industry Applications
Common Questions Answered
How many Erdős problems did Google DeepMind's AlphaProof Nexus solve compared to OpenAI?
Google DeepMind's AlphaProof Nexus solved nine unsolved Erdős problems, while OpenAI had announced solving only one just a day before. This represents a nine to one ratio demonstrating Google's significant advantage in this mathematical benchmark competition.
What is notable about the two Erdős problems that Google's system solved?
Two of the nine problems solved by AlphaProof Nexus had been unsolved by mathematicians since 1968, representing decades of mathematical work that the AI system was able to crack. These long-standing problems highlight the breakthrough capability of Google's system in tackling historically difficult mathematical challenges.
What is the primary function of these AI systems in solving mathematical problems?
The machine's job is to generate proofs so logically airtight that a computer can verify them with no ambiguity or uncertainty. This mechanical certainty in proof verification represents a critical advancement in how AI systems approach mathematical problem-solving.
Will human mathematicians be replaced by these AI systems according to the article?
According to the article, human mathematicians won't be replaced by these systems, but they might start getting significantly more help in cleaning up and solving old mathematical problems. This suggests AI will serve as a powerful tool to augment rather than replace human mathematical expertise.
Further Reading
- Advancing Mathematics Research with AI-Driven Formal Proof Search — arXiv
- AI achieves silver-medal standard solving International Mathematical Olympiad problems — Google DeepMind Blog
- AI Solves 50-Year-Old Math Problems Using AlphaProof Nexus — YouTube
- Google DeepMind's AlphaProof Nexus solves 9 Erdős problems and more — CryptoBriefing
- AlphaProof Nexus Results — GitHub
