What bridged the gap from R1-style short reasoning to today's long chains?
yoavgo · x · 2026-09-25
Yoav Goldberg adds that the known training stack roughly explains DeepSeek R1-era 'short and okay-ish' reasoning, but current models show far more impressive abilities. What bridged the gap between short reasoning then and the long, complex traces now remains unexplained — an open jab at the opacity of frontier reasoning-model training.
Related event: Researchers Debate Where Frontier Models' Reasoning Comes From(12 posts)→
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