Why three frontier models with different training beats one: doodlestein's case for Argon as the third mind
doodlestein · x · 2026-10-14
AI researcher doodlestein argues that running three frontier models that are both strong and trained totally differently — different pretraining data, different RL post-training — yields far richer dialogue than any single model.
He rates Fable and Astra at that level, but says Opus is too similar to Fable to serve as a useful third opinion; Argon, based on his initial results, could exceed the others on some dimensions and fill the role. K3 or GLM-5.3 work in a pinch but are strictly dominated across intelligence axes. He pairs this with his ntm-based skills like /dueling-idea-wizards, and hopes Meta's Muse could enable a real "Society of Minds" next year.
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