Four AI agents reportedly post-trained a Qwen base model to instruct-level scores in 104 hours
An essay on the Athanor paper says the agents used public data without calling external teacher models during the campaign.
TLDR
Brian Roemmele describes Athanor research in which four Claude Opus 5.5 agents post-trained Qwen3-4B-Base in 104 hours. He reports final scores of 67.3 on a six-task development suite and 48.2 on a held-out suite, versus 66.5 and 47.9 for Qwen3-4B-Instruct-2507. The agents called no external teacher models, though some public training data had been distilled from stronger models. The result comes from one campaign and trailed Qwen's reasoning releases.
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