Multi-Agent Brute-Force to Solve Science: How AI Could Build GTA 6 in a Day
Dr_Singularity · x · 2026-08-12
Using a recent mathematical breakthrough on the Riemann Hypothesis aided by 60 AI agents, the author argues that multi-agent collaboration is the key to accelerating scientific progress by 1,000x.
In the cited case, Claude initially explored 650 unsuccessful ideas before coordinating roughly 60 subagents. These agents performed thousands of numerical checks, wrote hundreds of Python scripts, searched dozens of papers for prior art, and attacked and re-derived the proof, ultimately producing a Lean formalization that passed automated validation.
The author predicts that as model costs decrease and scale expands, we will soon coordinate tens of thousands to millions of genius-level AIs to brute-force the same problem simultaneously. This paradigm could eventually solve the Riemann Hypothesis, enable the development of GTA 6-level games in a single day, and drive billions of scientific discoveries by the 2030s. The author also notes that DeepSeek is reportedly exploring similar architectures.
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