I am actually disgusted by the timing of this drop. And this will get a bit more technical.
Let’s do a real technical teardown of this "1,385-sigma Blackwell weight fingerprint" report that OpenAI and Anthropic are breathlessly promoting today, because banking on nobody reading past the headline is how DC narratives get manufactured.
First, look at the actual CUDA maths: when PyTorch initialises model weights (torch.nn.init) with a fixed PRNG seed, curand/Philox parallelises random number generation across the GPU’s Streaming Multiprocessors (SMs).
Because Hopper has 132 SMs and Blackwell has 148 or 152 SMs, the exact same seed lays out initial weights in a different spatial pattern depending on the GPU’s SM count. In huge MoE models, certain low-gradient null-spaces or unrouted slices preserve faint directional traces of those step-0 weights even after training.
So yes, brute-forcing the seed and SM grid can show that a model’s step_0 weight initialisation script ran on a 148/152-SM Blackwell GPU. Now read what the summary explicitly admits in the fine print:
1. Initialisation is not full training: The report literally states that these signatures show how the weights were created, and "support (but do not prove) the inference that Blackwell also participated in model training". Initialising a model checkpoint takes seconds on a single rented dev node before loading the safetensors onto a standard Hopper cluster. The "2,000 to 3,000 Blackwell GPUs" and "$500 million" cluster numbers do not come from the weight fingerprint and Depue admits in his own thread that he simply "estimated" cluster sizes from release schedules and model details.
2. Zero geolocation and zero proof of smuggling: The final sentence of the executive summary explicitly admits that the findings "do not establish the physical location of the chips, how they were acquired, or whether export control regulations were violated". Depue himself rented a cloud GB200 instance just to run his verification test. Commercial labs that are not on the Entity List renting bare-metal Blackwell nodes in offshore clouds (Singapore, Japan, or the Middle East) is completely legal under BIS rules and leaves the exact same SM fingerprint.
Now ask yourself why a former OpenAI researcher dropped this on November 12, the exact day Jensen Huang was pushed out, with OpenAI and Anthropic immediately stepping in to "independently verify" it.
US closed-source labs are watching their paid API moats get eaten alive by free Chinese open-weights models.
Conflating a step-0 PRNG initialisation seed with a "$500M smuggled Blackwell cluster" hands DC hawks the exact pretext OpenAI and Anthropic want to regulate global cloud compute and kneecap open-source AI.
Je pensais connaître l'horreur de la Seconde Guerre mondiale. J'avais tort.
En 1942, pendant la campagne du Zhejiang-Jiangxi en Chine, l'armée japonaise a volontairement lâché des puces infectées par la peste et le choléra dans les rivières et les puits des villages.
Le bilan : plus de 250 000 civils chinois morts dans d'atroces souffrances.
Le pire ? Encore aujourd'hui, des survivants âgés de 80 ou 90 ans vivent avec ce qu'on appelle les "jambes pourries" : des plaies ouvertes qui ne cicatrisent jamais depuis 80 ans à cause des bactéries japonaises.
Pendant ce temps, les responsables de ces attaques n'ont jamais été jugés, et Tokyo continue de minimiser ces faits dans ses livres d'école.
Dites-moi honnêtement : si des Européens portaient encore des plaies ouvertes sur leurs jambes à cause d'armes biologiques allemandes, est-ce qu'on dirait aux victimes "il faut tourner la page" ?
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
https://t.co/AUKzoQ5Ikb
This Jensen Huang thing is so ugly. Guy takes a company from zero to absolute pinnacle, through blood, sweat, and tears, a pure founder’s founder, great products, makes so many people rich beyond their imaginations, champions open free local AI, and then the incumbent modern managerial safetyist human instrumentality establishment collectively decides they want to rip it all away from him because they think they can “do better”.