5 of 6 base models score 0% on SWE-bench, yet hit 80.6% after post-training

hyunw_kim · x · 2026-10-20

The motivating problem from the NVIDIA thread: base models often can't even operate a coding-agent harness — 5 of 6 base models scored 0% on SWE-bench Verified, yet their post-trained versions reached up to 80.6%. Hence the decisive-step probe method: how to spot hidden potential when the benchmark shows a wall of zeros.

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

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