万级 agent 集群解题相当于领先 Astra 八个月

Lisan al Gaib @scaling01原推发布于 2026.09.24

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Based on my estimates, the 10,000-agent swarm that solved the Navier-Stokes problem was about 8 months of frontier progress ahead of a single GPT-6-Astra instance (with a range of 5.5 to 12.4 months) It used 48,000 times more output tokens than the largest single model evaluation and roughly 68 times more than an entire long-horizon coding benchmark

这条是引用着另一条写的：x.com/scaling01/status/2102788535191572709