OpenAI's AI Horde Solves Complex Math Problem, Eyes Smart Contract Security

OpenAI has made significant progress in automated theorem proving, a breakthrough that could have far-reaching implications for smart-contract security.

The company recently achieved a major milestone by having 10,000 concurrent AI agents produce a solution to the Navier-Stokes fluid-motion problem in about 88 hours.

This achievement is particularly noteworthy because it demonstrates the potential of large-scale parallel processing and machine learning in solving complex mathematical problems.

The solution was formalized and verified using Lean, a software proof assistant powered by GPT-6 Astra, which required an additional 17 hours. The resulting analytical proof showed that an initially smooth fluid can develop a singularity in finite time while retaining finite energy, addressing cases C and D of the Millennium Prize formulation.

This breakthrough could have significant implications for smart-contract security workflows, as it brings automated theorem proving closer to mainstream adoption. Formal verification uses mathematical specifications and theorem proving to establish whether code behaves as intended, an area where human guidance can make verification costly and labor-intensive.