AI research is increasingly industry-driven, making it crucial to understand
company contributions to this field. We compare leading AI companies by
research publications, citations, size of training runs, and contributions to
algorithmic innovations. Our analysis reveals the substantial role played by
Google, OpenAI and Meta. We find that these three companies have been
responsible for some of the largest training runs, developed a large fraction
of the algorithmic innovations that underpin large language models, and led in
various metrics of citation impact. In contrast, leading Chinese companies such
as Tencent and Baidu had a lower impact on many of these metrics compared to US
counterparts. We observe many industry labs are pursuing large training runs,
and that training runs from relative newcomers -- such as OpenAI and Anthropic
-- have matched or surpassed those of long-standing incumbents such as Google.
The data reveals a diverse ecosystem of companies steering AI progress, though
US labs such as Google, OpenAI and Meta lead across critical metrics.

AI 研究越来越多地由行业推动，因此了解企业对该领域的贡献至关重要。我们通过研究发表论文、引用、训练规模和算法创新来比较领先的 AI 公司。我们的分析揭示了 Google、OpenAI 和 Meta 的重大作用。这三家公司负责一些最大规模的训练，发展了支撑大型语言模型的大部分算法创新，并在引用影响力等各项指标中处于领先地位。相比之下，腾讯和百度等国内领先公司在许多指标上的影响力较低。我们观察到许多行业实验室正在进行大规模训练，而 OpenAI 和 Anthropic 等新进公司的训练规模甚至超过了 Google 等历史悠久的老牌公司。数据显示了一个多元化的公司生态系统在推动 AI 进展，尽管美国的实验室如 Google、OpenAI 和 Meta 在关键指标上处于领导地位。