A high-performance and high-level purely functional data-parallel array programming language that can execute on the GPU and CPU.
Pony
An open-source, object-oriented, actor-model, capabilities-secure, high-performance programming language.
"Concatenative programming and stack-based languages" by Douglas Creager
Stream Processing: Continuous Processing of Data Streams
Explore the Stream Processing design pattern for continuous asynchronous data flow, enhancing real-time data processing capabilities in enterprise applications using Clojure and leveraging functional programming principles.
Async/await on the GPU
GPU code can now use Rust's async/await. We share the reasons why and what this unlocks for GPU programming.
Modular: The Claude C Compiler: What It Reveals About the Future of Software
Compilers occupy a special place in computer science. They're a canonical course in computer science education. Building one is a rite of passage. It forces you to confront how software actually works, by examining languages, abstractions, hardware, and the boundary between human intent and machine execution.
Modern GPU Programming For MLSys — Modern GPU Programming For MLSys
Machine learning systems sit at the heart of modern AI workloads. In these systems, performance often comes down to the quality of a small number of GPU kernels. Attention kernels, LLM prefill and decode kernels, low-precision block-scaled GEMMs, fused MoE layers, and other large fused kernels all directly shape end-to-end speed in both training and serving.
Can LLMs Be Computers? | Percepta
We build a computer inside a transformer — executing arbitrary C programs for millions of steps with exponentially faster inference via 2D attention heads.
Write-Only Code | Heavybit
AI may be accelerating software into a world of "write-only" code that forces a rethink of culture, processes, and tools. Heavybit’s Joseph Ruscio explains.
Deterministic Core, Non-Deterministic Shell - Outdata
Determinism, architecture, and the de-sloppification of legacy code.
Sprites - Stateful sandboxes
Persistent, hardware-isolated execution environments for arbitrary code. Run AI agents, untrusted code, and more in secure sandbox environments with checkpoint & restore.
Prism: An Impure Functional Language With Typed Effects - Stephen Diehl
Personal blog of Stephen Diehl - Software engineer writing about technology, programming, and the future
Serpentine software
I don’t usually write hot takes. But StrongDM’s Software Factory post is worth it, so here goes. Their post is elegant, short, and well-written, so I’m going to just go through a bunch of pull quotes. Compounding correctness long-horizon agentic coding workflows [now] compound correctness rather than error This is a big, empirical claim. I’m already convinced by my own experiences that agents, suitably scaffolded, can form a Brownian ratchet, such that pouring on more compute helps, on balance.
Wolfram|Alpha: Making the world’s knowledge computable
Wolfram|Alpha brings expert-level knowledge and capabilities to the broadest possible range of people—spanning all professions and education levels.
ybzeek/The-Loom
A high-throughput, database-free ingestion engine for the AT Protocol (Bluesky) Firehose, engineered for consumer hardware constraints.
Coasts — Containerized Hosts for AI Agents
Free, open source parallel runtimes for AI agents. Run multiple isolated environments on your machine — no cloud, no conflicts.
sigargv/Laguna-M.1-GGUF · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
