---
id: 20260604-T0-09
title: "Carina Hong论文：非正式AI的规模扩张与验证生成"
title_en: "Carina Hong Paper: Scaling Past Informal AI with Verified Generation"
url: https://ai.daily.yangsir.net/daily/20260604-T0-09
issue_date: 2026-06-04
publish_date: 2026-06-03T19:27:49.000Z
category: research
source_name: "Latent Space"
source_url: https://www.latent.space/p/axiom
---

# Carina Hong论文：非正式AI的规模扩张与验证生成

Axiom Math的Carina Hong发表论文，探讨如何通过验证生成和智能复合来扩展非正式AI系统。该研究关注AI推理过程中的验证机制，解决了非正式推理的可扩展性问题。论文提出的新方法可能影响未来AI系统的开发方向，尤其是在需要高可靠性的场景中。

## English Version

**Carina Hong Paper: Scaling Past Informal AI with Verified Generation**

Carina Hong from Axiom Math published a paper on scaling informal AI systems through verified generation and compounding intelligence. The research addresses the scalability of informal reasoning mechanisms, proposing methods that could impact future AI development in high-reliability scenarios.

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**来源**：[Latent Space](https://www.latent.space/p/axiom)

**详情页**：https://ai.daily.yangsir.net/daily/20260604-T0-09

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