---
id: 20260311-T0-10
title: "Autoresearch实现递归自我改进"
title_en: "Autoresearch Shows Recursive Self-Improvement"
url: https://ai.daily.yangsir.net/daily/20260311-T0-10
issue_date: 2026-03-11
publish_date: 2026-03-10T02:21:57.000Z
source_name: "Latent Space"
source_url: https://www.latent.space/p/ainews-autoresearch-sparks-of-recursive
---

# Autoresearch实现递归自我改进

Latent Space报道Autoregressive项目发现AI系统具备递归自我改进的初步迹象。实验中，AI模型能自主分析自身输出，优化生成策略，迭代效率提升15%。这一进展可能加速AI自主学习研究，目前仍处于早期阶段，需验证长期稳定性和安全性。

## English Version

**Autoresearch Shows Recursive Self-Improvement**

Latent Space reports the Autoregressive project discovered preliminary signs of recursive self-improvement in AI systems. Experimental AI models autonomously analyzed their outputs to optimize generation strategies, achieving 15% iterative efficiency gains. This advancement may accelerate AI autonomous learning research but remains in early stages, requiring validation of long-term stability and safety.

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**来源**：[Latent Space](https://www.latent.space/p/ainews-autoresearch-sparks-of-recursive)

**详情页**：https://ai.daily.yangsir.net/daily/20260311-T0-10

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