A research team says GPT-5.6 Sol Ultra coordinated a swarm of 64 subagents to prove a mathematical conjecture that has resisted solution for half a century. If verified, it is one of the clearest demonstrations yet that orchestrated agentic reasoning can outpace even the strongest single-model attempts at open-ended mathematics.
The setup is the story. Rather than asking one model to grind through the proof alone, the system fanned the problem out across dozens of narrowly tasked subagents — each exploring a different branch, checkpointing partial results, and feeding conclusions back to a coordinator that stitched the threads together. That division of labor turned an intractable search space into a manageable, parallelizable one.
For the coding-agent world, the implications go well beyond pure math. The same fan-out pattern maps directly onto refactoring a massive codebase, hunting a rare race condition, or validating a security patch across thousands of files. When 64 heads can close a 50-year-old proof, a 64-way agent swarm reviewing your repo starts to look less like science fiction and more like next quarter’s tooling.
The catch is coordination overhead: 64 agents means 64x the tokens, 64x the drift risk, and a coordinator smart enough to know when branches contradict. Whoever tames that cost curve owns the next leap.
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