Nvidia Proposes Replay Method to Predict Coding-Agent Potential of Base Models

Nvidia's new paper proposes replaying successful agent trajectories to find the first edit that passes tests, predicting post-training coding-agent performance with a correlation of 0.964.

2026-10-12 ~ 2026-10-12 · 2 related posts

• Nvidia paper: scoring the decisive passing edit predicts agent post-training payoff at 0.964 — rohanpaul_ai · 2026-10-12
• Nvidia paper: replaying agent trajectories predicts which base models are worth post-training — rohanpaul_ai · 2026-10-12