---
id: 20260314-T0-02
title: "OpenAI研究员McLaughlin提出提高LLM目标设定回报率方法"
title_en: "OpenAI's McLaughlin on High-Return LLM Aspiration Raising"
url: https://ai.daily.yangsir.net/daily/20260314-T0-02
issue_date: 2026-03-14
publish_date: 2026-03-13T06:51:27.000Z
source_name: "Latent Space"
source_url: https://www.latent.space/p/ainews-the-high-return-activity-of
---

# OpenAI研究员McLaughlin提出提高LLM目标设定回报率方法

OpenAI研究员Aidan McLaughlin在静思日后发表观点，提出提高LLM目标设定回报率的方法。他认为合理设定技术目标能显著提升模型性能，通过优化任务规划和资源分配，可实现更高训练效率。该观点为AI开发者提供了新的训练策略方向。

## English Version

**OpenAI's McLaughlin on High-Return LLM Aspiration Raising**

OpenAI researcher Aidan McLaughlin shares insights on raising aspirations for LLMs to achieve higher returns. He argues that setting appropriate technical goals improves model performance through optimized task planning and resource allocation, offering developers new training strategies.

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**来源**：[Latent Space](https://www.latent.space/p/ainews-the-high-return-activity-of)

**详情页**：https://ai.daily.yangsir.net/daily/20260314-T0-02

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*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*