Solving 20 Erdős Problems with 20 Codex Accounts Running in Parallel
A developer has created an AI system called Star Fleet that utilizes parallel GPT-5.6 instances to solve complex open mathematics problems. The project successfully tackled Erdős Problem #123 using the Lean 4 formal proof language.
Why it matters
This represents a significant milestone in AI-assisted scientific discovery, demonstrating that large language models can be effectively harnessed for rigorous mathematical research.
Built by Colin Snyder · colin@colinsnyder.com
Advised by Mike Kim · proposed solutions ↓
Inspired by Ignis · previously built by Myself, Dhruv Agarwal, & Nitin Kesarwani at the New Turing Institute
Star Fleet is an AI system that solves the world's hardest open mathematics problems using Lean 4. It's a Mac desktop app that controls up to 20 custom agentic harnesses called “starships” in parallel, each running its own GPT-5.6 instance on a dedicated 60-vCPU server and working on a separate math problem. Everything is built from scratch in TypeScript & Bun.
Many problems listed as “open” carry informal or partial answers already available online; we tried extremely hard to avoid working on any such problems.
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