# Baidu introduces ERNIE Evolve, an automated research system for AI training and inference

> Original title: Introducing ERNIE Evolve, our automated research system for improving AI training and inference. ⚙️

- Source: Baidu Inc.
- Published: 2026-11-09T12:14:16.000Z
- Bad Influence: https://badinfluence.news/items/cumd233v0zescurqytnfrf18p
- Original: https://x.com/Baidu_Inc/status/2119765512238637559

## Summary

Baidu introduces ERNIE Evolve, a system that selects research directions, modifies code and runs experiments toward a given research goal. It keeps only changes that pass independent evaluation and review, and reports SOTA results on NanoChat AutoResearch and NanoGPT Speedrun. It also reports 33.7% higher deterministic GPU inference throughput and 14.9% faster single-request decoding on GPUs for ERNIE 5.5 Flash, and says it plans to extend the approach to training systems, model capabilities and evaluation.

## Post

Introducing ERNIE Evolve, our automated research system for improving AI training and inference. ⚙️

Given a clear research goal, it selects research directions, modifies code and runs experiments. Only improvements that pass independent evaluation and review are kept, and each round’s findings guide the next.

From public benchmarks to ERNIE 5.5 Flash inference tests, here’s what it achieved:
- SOTA on NanoChat AutoResearch and NanoGPT Speedrun
- 33.7% higher deterministic GPU inference throughput
- 14.9% faster single-request decoding on GPUs

This is a practical step toward recursive self-improvement (RSI). Next, we plan to extend this approach to training systems, model capabilities and evaluation.

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