RISC-V is an open standard Instruction Set Architecture (ISA) enabling a new era of processor innovation through open collaboration.
A Linux Distribution for RISC-V | openRuyi
openRuyi is a Linux distribution built for RISC-V.
openRuyi-Project/openRuyi
openRuyi is an open source, rolling release Linux distribution for RISC-V, optimized for performance, security, AI, and cloud-native workloads.
Foundation Interface Lab
Andrew "bunnie" Huang Prepares the "dabao," a Dev Board for Baochip's "Mostly-Open" X1 RISC-V MCU
Built atop Vexriscv and PicoRV32, this 22nm microcontroller is "mostly open" to the RTL level — and a low-cost dev board is on the way.
Engineering High-Performance Parsers with Data-Oriented Design
Notes from building Yuku: the AST is flat arrays of u32 indices instead of a pointer tree, and memory layout, allocation, strings, unicode, and serialization all follow from that one decision.
An Update on OpenPRoT
The road to iroh 1.0
It is done. After four years of work and various pivots we have released iroh 1.0.
L-systems
Jordan Santell, focusing on open web engineering, immersive web, WebXR, WebGL, JavaScript, open source, open standards, and all things weird web.
NVlabs/cuda-oxide
cuda-oxide is an experimental Rust-to-CUDA compiler that lets you write (SIMT) GPU kernels in safe(ish), idiomatic Rust. It compiles standard Rust code directly to PTX — no DSLs, no foreign language bindings, just Rust.
Introducing LFM2: The Fastest On-Device Foundation Models on the Market | Liquid AI
Today, we release LFM2, a new class of Liquid Foundation Models (LFMs) that sets a new standard in quality, speed, and memory efficiency for on-device deployment. Built on a hybrid architecture, LFM2 delivers 200% faster decode and prefill performance than Qwen3 and Gemma 3 on CPU. It also significantly outperforms models in each size class on instruction-following and function calling—the core capabilities that make LLMs reliable for building AI agents.
Specialisation | Code and Interactive Systems (Bachelor) | FH Salzburg
After completing the foundation year in your first year of study, you will choose your specialisation and focus on either Future Web & Mobile or Game & Immersive Tech. You will also select a specialisation – either Interaction Design or AI Engineering – to expand your knowledge and skills in a targeted manner.
Introduction · Standard Reader
Build on Standard — an open reading network on the AT Protocol. What the developer docs cover.
Ollama is now powered by MLX on Apple Silicon in preview· Ollama Blog
Today, we're previewing the fastest way to run Ollama on Apple silicon, powered by MLX, Apple's machine learning framework.
