OpenAI researcher rebuts model hardware fingerprinting skeptics: 24/24 match
willdepue · x · 2026-11-13
Responding to @dfranke's claim that hardware-initialization fingerprinting proves nothing (init could run on rented pennies-of-compute), willdepue says he tested the assumption before publishing: across 24 models where labs publicly stated their training hardware, the fingerprint matched every time — including DeepSeek-V3 and Kimi K2 on H800s and NVIDIA's Nemotron models on GB200s.
His argument: training software creates the starting weights itself on the same GPUs it trains on. Kimi K3's weights were initialized by at least 64 separate processes, every one on a Grace Blackwell chip — a training job starting on a Blackwell rack, impossible from a desk-side machine. Initialization is trivial, which is exactly why nobody does it on separate hardware.
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