NVIDIA da acceso gratis por API a modelos de IA.
A DeepSeek V4, MiniMax M2.7, GLM 5.1, Gemma 4...
Perfecto para pruebas de desarrollo.
Puedes usarlo con OpenCode y OpenClaw
Puedes conseguir acceso aquí:
→ build.nvidia.com/models
IPv6 isn’t the end
but this IPv8 draft feels like it was LLM-generated and tries to cram everything in, and bringing in JWT makes no sense
ietf.org/archive/id/dra…
What if I told you the first GPU neural network implementation happened in Korea in 2004? 😗
Before CUDA, Before modern deep learning hype.
The world’s FIRST GPU-accelerated neural network wasn’t built in Silicon Valley or by NVIDIA,
It came from South Korea’s Soongsil University in 2004, years before CUDA even existed.
two Korean researchers, Kyoung-Su Oh and Keechul Jung at Soongsil University quietly implemented neural networks on a consumer ATI Radeon GPU and achieved massive speedups.
Used an ATI Radeon 9700 Pro to get 20-30x speedups on matrix multiplications and sigmoid functions for real-time text detection.
translate then read
- koreascience.or.kr/article/JAKO20…
@MrKaLi176442 Varies case by case.
Probably tied to the quarter cycle, so from my experience it can take up to ~6 months.
I don’t know exactly though.😭
On Apple Silicon, the GPU by default cannot use more than about 75% of the system's total memory, but you can change this setting easily. I use my own script for that and set it up to 98% on M3 Ultra 512GB.
gist.github.com/ivanfioravanti…
I’m not affiliated with Talos.
I’m an independent security researcher, so I don’t really know the details of the other bug.
For my bug, I found it quite a while ago, and it looks like the credit process got missed after I reported it (it’s being sorted out now lol).
As for exploitation: at least when I analyzed it back then, I didn’t see a viable way to get a shell. Even though it’s a stack overflow, I couldn’t find a memory layout that I could realistically overwrite in a useful way.
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what I say is my opinions blah blah 𐔌˙.