
0std | Pentester | AppSec
442 posts

0std | Pentester | AppSec
@0std1
my researches https://t.co/8209nDXdiH





I fear it was obligatory

Should I bring a burner phone? Can I connect to Wi-Fi? We address common DEF CON myths that first-time goers often hear! With feet guy @0xTib3rius youtube.com/watch?v=F08TnY…



Getting an IT job first before getting into cybersecurity is unmatched. Especially true if you want to do any kind of technical role, that IT experience is only going to help you. The problem is, so many people lack the patience to do it. Especially when you get a "cybersecurity" degree...



Introducing Kimi K3: Open Frontier Intelligence 🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal 🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts 🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost 🔹 Built for long-horizon agentic coding and self-evolving workflows Kimi K3 is now live on on Kimi.com, Kimi Work, Kimi Code, and the Kimi API. Open Weights by July 27, 2026. 🔗 API: platform.kimi.ai 🔗 Tech blog: kimi.com/blog/kimi-k3





running a 405-billion-parameter model used to mean a $30,000 GPU rack. one developer made it run on a single 8GB card the kind that's been sitting in gaming laptops for years. it's called AirLLM, and the trick is almost stupidly simple: instead of loading the whole model, it keeps one layer on the GPU at a time and streams the rest through. / Llama 3.1 405B on 8GB / DeepSeek-V3, all 671B of it, on about 12GB / no quantization, no distillation, no pruning the full-precision model / works with Llama, Qwen, DeepSeek, Mistral, Gemma, and more it's Apache 2.0 and already past 22,600 stars. → github.com/lyogavin/airllm bookmark it.














