#cplusplus
FlashMLA is DeepSeek's optimized attention library that makes AI models run faster and use less memory. It works with advanced NVIDIA GPUs to speed up how language models process information, achieving up to 660 trillion floating-point operations per second. The library supports both dense and sparse attention modes, meaning it can focus on important tokens while skipping less relevant ones, reducing computational waste. For you, this means faster AI responses, lower costs for running large language models, and better performance on tasks like chatbots and code generation. The technology is open-source and integrates with popular AI frameworks like PyTorch and Hugging Face, making it accessible for developers building next-generation AI applications.
https://github.com/deepseek-ai/FlashMLA
I Built a Mesh Network Across the World | Data Slayer
That escalated quickly...
In my last video, I introduced #Reticulum—an open-source protocol that could allow anyone to build networks without relying on traditional internet infrastructure. But there was one big question left unanswered: how far can it actually go?
In this video, I start with a simple setup inside my house and begin pushing the limits—testing communication across rooms, neighborhoods, and beyond using WiFi HaLow and #mesh networking. The goal is simple: see if it’s possible to send real messages across distance without depending on ISPs, centralized servers, or the internet as we know it.
#Network#MeshNetwork
The Internet, Reinvented.
In this video, I build a #Reticulum#RNode and prove that completely different radios — #LoRa and Wi-Fi — can communicate through a hardware-agnostic networking stack. Reticulum routes traffic above the radio layer, automatically bridging dissimilar frequencies, interfaces, and modulation types. I then run it over Wi-Fi HaLow Haven nodes to create a long-range, encrypted IP #mesh with no traditional infrastructure.
Finally, I push it further by running #ATAK across the network, demonstrating a fully open-source, decentralized communication stack in action.
Checkout https://rmap.world/
You can install rnode software on your esp32/nrf52 based meshtastic/meshcore hardware