I want an M5 Mac Studio!! I run a rack of M3 Ultras, and the FOMO is real. Then @ashhart dropped TensorFold 0.3.0 — THIS MORNING — and crushed it. GLM-5.3-Flash now runs on two DGX Sparks at 1.8–2.1× vLLM — byte-identical output. Tested. Confirmed. The recipe book hands you the kernels, the measured numbers, AND the dead ends. Custom-made for everyone. We all get to pick up what he's laying down. No MLX GLM in TensorFold just yet — so we built one for our Studios. That is how user friendly @ashxhart repos are! Our production M3 Ultra seat now serves GLM-5.3-Flash through TensorFold: 45 → 60 tok/s, first token landing before you blink, output word-for-word exact. Started with @MiaAI_lab recipe and got some help from @Kurcide... It feels like new silicon. It isn't. It's a recipe. Our MLX engine is up as PR #9# — for kind consideration. His repo, his call. We're just the lucky ones running it in production while he looks it over: Don't believe us — get the repo and feel the speed today: Ash is a man of the people — MCDMA, Imprint, TensorFold — out here helping all of us get it. My M5 fund stays in my pocket......maybe...

Some stats creating this with Opus 5.5 set on Ultracode: Most of the time there were between 30-45 agents running at the same time. Total cost: $415 Total weekly limit used on 20x max plan: 25% Total tokens burnt: 1.2 billion 🤯

Built by Opus 5.5 (Ultracode) Created by its own creativity. No images, no video, no audio files. Every frame and every note is generated by code, live, from the word you type. Live here: How it works and the full prompt below.

I see a lot of finger-pointing in the AI community, and it probably doesn’t help anyone. My mantra: A rising tide lifts all ships. @MiaAI_lab has credited me several times for tool-eval-bench even though she could have just pointed to a fork or her own project. Instead, she contributed to my project to help make it better for everyone. Let’s not forget that we’re all trying to make things a little easier and better for everyone.

The numbers are in. Most own 2x DGX Sparks, followed by a single spark. Only 7.2% own exactly three. More than interesting: over 25% own at least 4x DGX Sparks Total 1,796 votes Total "sparks" participated: at least 4,137 A lot of people commented "where is the 0 option".

I feel sorry for UK. They published "rules" on how to use AI: Basically saying to use AI only when needed, with short prompts and as few interactions as possible to reduce environmental impact 🤣 Will probably be adopted by EU too.

Useless in what? For being completely private? For having no limits? For not being nerfed after a while? For having no downtime? For being able to own intelligence instead of renting one? Yes, without all of these local models are completely useless I agree 💯

After the new additions to the Qwen3.8-Flash-Next for a single spark, coming with similar updates for the dual recipe! Testing rn to ensure it's stable. Dropping possibly tomorrow!

Come check out my website. It includes a list of my latest & greatest recipes. The "Install Model" button gives you a ready-to-use prompt for Claude, Codex, or others. It adapts the recipe to your setup, starts the server and tests it.