Forensic report says six Chinese models carry Blackwell fingerprints
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Unemployment Labs, founded by former OpenAI researcher Will DePue, has released a forensic analysis claiming that six open-weight models—DeepSeek-V4-Flash, DeepSeek-V4-Pro, Kimi K3, Kimi K3.1-Pro, MiniMax-M3 and Ling-3.1-flash—match NVIDIA Blackwell's 148 or 152 SM layout at initialization, while earlier models such as DeepSeek-V3 and Kimi K2.5 show traces of the Hopper generation. The lab concludes that DeepSeek, Moonshot AI, MiniMax and Ant Group obtained Blackwell GPUs and used them to build models. The report says the fingerprint identifies how the weights were created, which supports but does not prove that training was also completed on Blackwell; it provides technical evidence of access to advanced computing hardware and does not confirm where the chips are located, who owns them, how they were obtained, or whether export controls were violated. The method requires open weights, so closed-source models cannot be examined. DePue has published verification code on GitHub, and reproduction scripts, row fixtures and test outputs are available to reviewers on request.
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- TechCrunch · AIFeaturedExport-banned Nvidia chips are behind China’s most powerful AI models — uh-oh, Jensen!
Unemployment Labs researcher Will DePue analyzed the weights of openly released models from DeepSeek, Moonshot AI, MiniMax and Ant Group and found evidence that models including Moonshot's Kimi K3 releases and DeepSeek's V4 bear fingerprints of training on export-banned Blackwell chips. Epoch AI estimates about two million advanced chips entered China in 2024 and 2025 through schemes hiding their final destination, though the chips could have been in offshore data centers such as those in Malaysia, which imported an estimated 275,000 Nvidia AI accelerators in that period. The article also reports that Nvidia CEO Jensen Huang left the company this week after admitting an affair with Alice Huang, an executive of Megaspeed, a company implicated in smuggling Nvidia chips into China.
- The DecoderFeaturedFormer OpenAI researcher says he found Nvidia Blackwell fingerprints hidden inside six Chinese AI models
Will DePue says weight-initialization patterns in six Chinese models released since April 2026 match Nvidia's Blackwell core counts (148 or 152), while earlier models like DeepSeek-V3 and Kimi K2.5 show Hopper signatures; he says OpenAI and Anthropic researchers independently confirmed the findings and has published verification code on GitHub. He maps DeepSeek-V4-Flash and MiniMax-M3 to B200/B300 chips and DeepSeek-V4-Pro, Kimi K3, Kimi K3.1-Pro and Ant Group's Ling-3.1-flash to GB200/GB300, estimating the five training runs used about 12,000 Blackwell GPUs costing over half a billion dollars. The report notes the fingerprint shows only which hardware initialized the weights and does not by itself prove smuggling or a violation of US export law, since capacity can be rented outside China.
- Hacker News AIFeaturedChinese frontier AI models carry the fingerprint of export-controlled GPUs
A forensic analysis of published model weights finds that six models from DeepSeek, Moonshot AI, MiniMax and Ant Group, released between April and November 2026, contain numerical patterns matching NVIDIA Blackwell chips (148-SM B200/B300 or 152-SM GB200/GB300), while earlier models from the same labs match Hopper. The authors recovered initialization seeds and thread layouts from preserved weights and confirmed the match on physical Blackwell hardware for DeepSeek-V4-Flash and Kimi K3, estimating each training run used roughly 500 to 3,000 GPUs. The report says the evidence shows access to export-controlled hardware but does not establish where the chips were located, how access was obtained, or whether export controls were violated.
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