BREAKING: I have obtained conclusive forensic evidence that a frontier AI model was initialised on a smuggled GB200 cluster. Will Depue GOT ME!
The evidence is a checkpoint I cooked up on my laptop in 3.03 seconds while waiting for the kettle to boil.
Turns out the legendary "hardware fingerprint" is real, and it is literally one integer. PyTorch sizes its CUDA RNG launch grid from two driver-reported numbers: SMs ร threads-per-SM รท 256. That single integer is the only way the silicon ever touches weight initialisation. Spoof the integer, spoof the GPU.
My RTX 4070 Ti SUPER reports 396. A $40,000 GB200 reports 1184. That is the entire smoking gun. Not silicon. Just an integer wearing a tiny lab coat.
So I rebuilt the detector to test it:
Real RTX 4070 checkpoint -> "RTX 4070 Ti SUPER, 256/256."
CPU-forged GB200 checkpoint -> "GB200, 256/256, conclusive."
Both came back "conclusive." Neither touched a Blackwell. Apparently my laptop CPU is now a transnational smuggling ring.
Even better, actual training nukes the evidence immediately. One Adam step drops the bit-exact match from 100% to 11.96%. By step two, the detector reads 0/256. The "fingerprint" only survives in dead, unrouted parameters that never received a gradient, meaning DC is basing export-control panic on the weights nobody even used.
And the statistics are pure theatre: 0.999995 at 1,385-sigma implies roughly 19 independent samples, not a trillion-parameter model. Run the exact same sigma formula on my humble 4070-initialised model and it hits 15,421 after 600 steps, which is 11x stronger than the headline claim.
Even the report's own summary quietly admits it does not establish chip location, acquisition, or legal violations. Everything else is guesswork in a trench coat.
Zero Blackwells were harmed in the making of this felony.
Full write-up, code, and forged-checkpoint generator:https://t.co/wkScANYEEP
Repo name: conclusive-vibes, because at this point the adjective is doing all the heavy lifting.
*GB200 sold separately.
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