status minimizer | math @uwaterloo | long walk enjoyer
Joined September 2026
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Kernel substitution made prefill 3.7–6.0× faster in three B390 benchmarks (single runs). Qwen2.5-0.5B decode is now ~61–62 tok/s, compared with ~156–157 tok/s through stock Ollama’s Vulkan backend on the same machine.
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This isn't the first CUDA compatibility effort. ZLUDA has done major work on running CUDA apps on non-NVIDIA GPUs.
ZLUDA did help with some runtime compatibility details.
Check THAT out here:
github.com/vosen/ZLUDA
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I put a language model inside a QR code.
All 2,448 learned weights are encoded into the QR itself. Scan it, and a tiny JavaScript runtime reconstructs the model and generates names.
Check it out below
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The QR points to qrllm.ahamedwajibu.com with the trained model embedded in the URL fragment.
The site serves the interface and JavaScript inference code. There are no checkpoint downloads and no calls to an inference API.
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Hahha.. I have trade secrets about Nvidia haha.. noooo chinese spy please dont come and get me 👀👀👀
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Cyn retweeted
If Jensen had just had sex with underage girls on a pedo island like a normal billionaire we wouldn’t be in this black Monday mess
claimed this instantly with such excitement then realized I had to use Gemini
if someone needs more credits:
Free $100!
traycer.ai/campaigns/gemini-…
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Haven't we all
Jensen Huang, the CEO of the American technology and chip manufacturer Nvidia, had a close relationship with a Chinese businesswoman who was a spy for China’s Ministry of State Security, according to The New York Times citing a memo circulated last spring among top policymakers in the Trump Administration.
Along with the memo, U.S. intelligence officials believe that the businesswoman, Alice Huang, was recruited to collect intelligence on Jensen Huang, Nvidia’s chief executive, as part of a drive by Beijing’s top spy agency to learn more about American A.I. chips and potentially influence the company to push for its most advanced chips to be made available to China.
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