中美 LLM 数据经济对比：中国厂商自研倾向更强

AI 导读

中美 LLM 数据经济存在结构性差异：美国市场由 OpenAI 和 Anthropic 领跑，主要科技服务商更多基于 API 和现有开源权重模型构建；中国头部投入方是腾讯、阿里和字节跳动，美团、小红书、小米等更倾向自研 LLM。中国实验室在数据投入意愿上曾落后美国 6–12 个月，但正快速追赶。

正文

This is the best piece I’ve read to date on the Chinese data economy for LLMs, and how it compares to the US counterparts (summarized by Mercor, Surge, and Handshake having the biggest network, SUPPLY, but also many companies with specialized services, in the form of RL-ready environments). China’s leading spenders, Tencent, Alibaba, and ByteDance, don’t mirror OpenAI and Anthropic leading the US market.

The Chinese market likely has a bias similar to their “ownership” mentality of more LLM builders in house, like Meituan, RedNote, and Xiaomi, whereas major US tech services build more on APIs and existing open-weight models.

Altogether, it seems like Chinese labs were 6–12 months behind on willingness to spend on data, relative to the US, but are rapidly catching up.

I've been hearing lots of murmurings on China's AI industry, but folks are secretive, so it's hard to put this all together.