Human-led AI-agent swarms accelerate progress on OpenAI’s integer-multiplication challenge
An open-source community used Codex- and Claude-powered agents to explore, implement, and verify improvements for OpenAI Math Drop Problem 109. The effort produced 151 pull requests and raised the conditional parameter κ from 2⁻¹⁸² to 0.00129, while the repository emphasizes that the result is not a practical speed benchmark or complete formal proof. [36Kr report](https://eu.36kr.com/en/p/4023452816134019) [project repository](https://github.com/CrocSwap/integer-mult-bounds)
This is a compelling example of AI agents turning mathematical research into a high-throughput open-source search process, but the breakthrough still depends on human direction and rigorous validation.
- –Agent swarms rapidly searched a large space of implementation and optimization ideas.
- –Human mathematical insight, including E8 lattice geometry, helped the effort escape a local optimum.
- –The result is a conditional research advance, not evidence that agents independently solved integer multiplication.
- –The project highlights verification and mathematical framing as the enduring bottlenecks.
DISCOVERED
1h ago
2026-10-14
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1h ago
2026-10-14
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AI Revolution