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AI CURATED HOT STORY · 11/10/2026

Baidu Unveils ERNIE Evolve to Auto-Evolve Training and Inference Code

1 reports archived1 independent sourcesupdated 11/10/2026, 00:36:25
Synthesis & Latest Updates
1 Sources Cross-Validated

Baidu released ERNIE Evolve, an automated research system that edits AI training and inference code and keeps only verified gains via two nested loops: a Director steering research directions with parallel code-evolution trees, plus a hidden Evaluator and Reviewer to reject eval-gaming candidates. It scored 0.8763 BPB on NanoChat AutoResearch, 38.9 s on NanoGPT Speedrun Track 1, and pushed Kunlunxin P800 inference to 623.6% of baseline. The system itself is not open-sourced; only final benchmark code and run logs were released.

LATEST/Baidu released ERNIE Evolve, an automated research system that edits AI training and inference code and keeps only verified gains via two nested loops: a Director steering research directions with parallel code-evolution trees, plus a hidden Evaluator and Reviewer to reject eval-gaming candidates. It scored 0.8763 BPB on NanoChat AutoResearch, 38.9 s on NanoGPT Speedrun Track 1, and pushed Kunlunxin P800 inference to 623.6% of baseline. The system itself is not open-sourced; only final benchmark code and run logs were released.

Hourly heat curve

7 fully observed hours
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15.0
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17.201:00
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The line compares only sources observed throughout; gap hours are interpolated to keep the trend continuous.

Coverage timeline

Total 1 reports · Latest first
  1. Marktechpost (@Marktechpost)T2·78 pts
    • Two nested loops: a Director picks directions and parallel lanes evolve code trees, while a hidden Evaluator scores candidates and a Reviewer discards eval-gaming ones
    • Hit 0.8763 BPB on NanoChat AutoResearch (best public 0.8878) and 38.9 s on NanoGPT Speedrun Track 1
    • Pushed Kunlunxin P800 inference to 623.6% of baseline and deterministic GPU throughput up 33.7%, though SOL-ExecBench 0.819 trails the 0.827 leader
Baidu Unveils ERNIE Evolve to Auto-Evolve Training and Inference Code | Today for AI