AI & Mathematics

True Intelligence, or Just a Smart Search Engine?

June 11, 2026
4 min read

What the study is about

Leading mathematicians compiled 10 unpublished questions from their own active research and presented them to the best AI models. No answer was available online. The goal was simple: to find out whether artificial intelligence can truly think or just search.

Key numbers

10

unpublished research questions

Each question arose naturally from the author's own research, was never made public, and the answer was encrypted before testing to prevent data leakage.

0

questions solved autonomously and correctly

Neither GPT-5.2 Pro nor Gemini 3.0 Deep Think were able to autonomously and correctly prove any of the ten questions in a single attempt.

20+

questions tested before selecting the final ten

The authors went through more than twenty candidate questions to find ones that AI could understand, yet were still beyond its capabilities.

What this means

  • AI handles competition-style math, not research-level math, existing benchmarks test a different type of problem than what mathematicians actually work on.
  • Models confabulate with confidence, in several cases AI cited a non-existent or incomplete proof as a finished result.
  • A stronger model does not mean a correct proof, GPT-5.2 Pro and Gemini 3.0 failed on the same types of errors.
  • Data contamination is a real problem, even with data sharing disabled, models may retain relevant context from training.
  • A benchmark without automatic grading is hard to scale, the correctness of proofs must be assessed by a human expert, which slows down evaluation.

Our take

AI is good at mathematics, but not as good as it thinks it is. The gap between a confident answer and a correct proof is exactly what we need to watch out for — not just in mathematics.

MD

Michal Dobrovolný

Zdroj

Source: Abouzaid, M., Blumberg, A. J., Hairer, M., Kileel, J., Kolda, T. G., Nelson, P. D., Spielman, D., Srivastava, N., Ward, R., Weinberger, S., & Williams, L. (2026). First Proof. arXiv:2602.05192. https://arxiv.org/abs/2602.05192

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