Paper: 'Before They Can Solve' predicts a base model's post-training potential early

hyunw_kim · x · 2026-10-20

Researcher hyunwkim showcases the paper Before They Can Solve, arguing teams shouldn't post-train every base checkpoint just to find the best one — a model's future potential may already be visible if you know where to look. Led by Tan Yu with collaborators including Ashish Vaswani, Matthew Papakipos, Mohammad Shoeybi, and Jonathan Cohen (NVIDIA-affiliated team).

Related event: NVIDIA paper predicts coding-agent potential of base models before post-training(8 posts)→

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