GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models

• 类型：arxiv
• 标识：2303.10130
• 链接：https://arxiv.org/abs/2303.10130
• 主题：engineering
• 主分类：evaluation
• 形态：application
• 被引：577
• 被引来源：Semantic Scholar
• S2被引：577
• OpenAlex被引：545
• 影响力被引：41
• TLDR：The analysis suggests that, with access to an LLM, about 15% of all worker tasks in the US could be completed significantly faster at the same level of quality, implying that LLM-powered software will have a substantial effect on scaling the economic impacts of the underlying models.
• OpenAlex ID：W4330336443
• OpenAlex DOI：10.48550/arxiv.2303.10130
• DOI：10.48550/arxiv.2303.10130
• DOI来源：OpenAlex
• 开放获取：green
• 开放获取链接：https://arxiv.org/pdf/2303.10130
• OpenAlex更新：2026-08-10
• 待LLM分类：否
• 成熟度：research
• 场景：labor market、economic impact、LLM
• 标题中文：GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
• TLDR中文：分析表明，借助 LLM，美国约 15% 的工作任务可在保持同等质量的前提下显著提速完成，意味着 LLM 驱动的软件将对底层模型经济影响的规模化产生实质性作用。
• 来源文件：
• [OpenAlex discover]
• [S2 enrich]