前 OpenAI 研究员称从权重指纹中发现中国模型使用 Nvidia Blackwell 训练痕迹
Former OpenAI researcher says he found Nvidia Blackwell fingerprints hidden inside six Chinese AI models
用公开模型权重就能读出底层训练芯片的特征指纹，这个取证方法本身就很妙。如果你关心出口管制实际执行效果、想看 DeepSeek 和 MiniMax 训练硬件的推断依据，这篇值得花十分钟细读。
前 OpenAI 研究员 Will DePue 发布技术分析，声称首次提供了 DeepSeek、Moonshot AI、MiniMax 和 Ant Group 使用 Nvidia 最新 Blackwell GPU 训练模型的技术证据，尽管美国出口管制明令禁止这类芯片出口到中国。他自称估计涉及的五次训练运行背后的硬件成本超过 5 亿美元。
Former OpenAI researcher says he found Nvidia Blackwell fingerprints hidden inside six Chinese AI models
Former OpenAI researcher Will DePue says he has produced the first technical evidence that DeepSeek, Moonshot AI, MiniMax, and Ant Group are using Nvidia's latest Blackwell GPUs despite US export controls. His forensic method reads characteristic chip signatures directly from published model weights. He estimates the hardware behind the five training runs cost more than half a billion dollars. The article Former OpenAI researcher says he found Nvidia Blackwell fingerprints hidden inside six Chinese AI models appeared first on The Decoder .
This report is categorized under AITOP's "Industry" desk, focusing on China's AI industry and domestic foundation model ecosystem. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison and AI regulation, compliance frameworks, and sovereign compute policy. Key entities and technical topics under continuous tracking include DeepSeek, MiniMax, Moonshot AI, Nvidia Blackwell.
Source attribution: curated from Decoder (@Maximilian Schreiner). Cross-source corroboration: 11 independent sources have covered this development (including rohanpaul_ai, kimmonismus, The Information), confirming industry-wide signal strength.
