GPT-5.6 Reportedly Solves Math in Parallel
LiorOnAI · x · 2026-07-12
Reportedly, GPT-5.6 Sol used 64 sub-agents in parallel to solve a 50-year-old math problem.
The post emphasizes that the system doesn't rely on a single long chain of thought, but rather breaks the problem down for multiple agents to tackle simultaneously:
- Running different solution methods in parallel
- Using adversarial agents to attack weak arguments
- Discarding dead ends and integrating surviving results to form the final proof
If the proof ultimately passes expert review, the author believes it will change the economics of R&D. Companies could allocate more compute power to a single technical problem, compressing what used to take days or weeks of exploration into mere hours. The bottleneck will shift from "hiring more people" to "allocating compute, designing better agent teams, and validating outputs." This shift could impact industries reliant on high-cost knowledge work, including software, semiconductors, biotech, engineering, finance, and scientific research.
Related event: GPT-5.6 Sol Ultra Proves 50-Year Math Conjecture(17 posts)→
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