A new archival project called Pirate Face is systematically preserving open-weight language models that are at risk of being deleted or made unavailable — think of it as the Internet Archive, but specifically for AI model weights.
A new open-source project demonstrates inference on Kimi K3 (2.8T parameters) at roughly 1 token/second on a MacBook Pro by streaming weights off four SSDs instead of loading them into RAM.
Cloud in a Bottle aims to lower the barrier to self-hosting personal cloud infrastructure. Here is what we know from the project launch and why it matters for builders.
A new open-source LLM gateway unifies self-hosted, frontier, and open models behind one API, adds sub-millisecond overhead, takes no token markup, and can use opt-in traffic to route smarter or train a custom model.
After a CEO laid off engineers to cut costs in favor of AI tooling, those same engineers shipped OpenExecutive — an open-source agent designed to handle executive decision-making. Turnabout, apparently, is fair play.
Meta's Muse Glimmer is an open-weight model that signals where the company is heading with personalized AI — and sharpens the contrast between AI you can run yourself versus AI locked behind a platform.
llama.cpp lets you run large language models on your own hardware—CPU or GPU—without cloud dependencies. Here's why it became the backbone of the local AI movement and how to put it to work.
A new Qwen release surfaced on Hugging Face with an FP8 checkpoint and a mixture-of-experts design. Here's how to read the model card details and decide whether it fits your stack.
Meta shipped Glimmer, a downloadable open-weight model, while keeping its stronger Muse Spark behind private APIs. The split reveals how 'open AI' works in practice — and what builders actually get.
Alibaba's Qwen team publishes a 27B-parameter model in FP8 format, pushing open-weight models toward lower memory footprints and faster inference on modest hardware.
Meta released Glimmer, a downloadable open-weight model, while keeping its more capable Muse Spark locked behind proprietary APIs — a split that defines what 'open AI' really delivers in practice.
MacPaw is rebuilding its Eney AI assistant to run entirely on-device, powered by Liquid AI's models — and plans to expose that inference capability to developers building on its platform.
