Using a trillion parameter LLM and 16 core MacBook... Pro to send an emailshow more

Grok 5 is currently training at the Supercomputer Colossus... 2. Grok 5 trains with 6 trillion parameter and a much larger 10 trillion parameter model.show more

Can a VLM see without a vision encoder? We... trained one for $100, inspired by Gemma 4 12B. Latency on an M3 Pro MacBook: 112 ms -> 1.1 ms for the image path 30% lower end-to-end image+LLM The architecture is just: patchify the image -> linear projection with pos embeddings -> LLM Writeup:show more

Comparing an old, cheap laptop with a MacBook Pro....... No bias at all!show more

My commission sheet Feel free to shoot a dm... or send me an email!show more

Tested the new MacBook Pro M4 Pro vs. the... Mac mini M1 in LM Studio, running Llama 3.2 3B 4-bit MLX. Results: M1 (8-Core) ------> 25 tok/sec M4 Pro (14-Core) -> 104 tok/sec 🤯 – 4x faster!show more

Send a trillion dollars to Ukraine at this point

The prompt: "Create a 360 draggable macbook pro"

Razer shows off their new Razer Blade 16 with... an RTX 5090 GPU crammed inside its super slim frame! And at 0.59” thick at its thinnest point, it beats even the Macbook Pro! #CES2025 #razershow more

This guy built his own Apple Vision Pro using... an iPhone and Meta Quest Pro to recreate EyeSight. Source:show more

Unboxing the M4 Pro MacBook Pro with nano-texture 😮‍💨

I’m givin away a BRAND new M4 MacBook Pro 🔥🔥

Still need to do some cable management, but this... is a huge upgrade to my setup. I put my M3 MacBook Air on a SVALT dock (heatsink + fan) and thermal throttling is completely gone. Now when I’m home it basically performs like a MacBook Pro 🔥show more

$IREN CEO Daniel Roberts: "2 hours ago we got... an email from a trillion dollar hyperscaler that said: 'we weren't interested in Sweetwater (the 1.4 GW site) and now they are'." 🔥show more

Imagine typing your website's URL, and getting an email... template back? All this using your own brand, logo, colors, styling, and built using React + Tailwind. Go try it out:show more

Thrilled to have been part of an incredibly talented... team designing and bringing the new iPhone 16 Pro page to life ❤️show more

Holy shit... Microsoft open sourced an inference framework that... runs a 100B parameter LLM on a single CPU. It's called BitNet. And it does what was supposed to be impossible. No GPU. No cloud. No $10K hardware setup. Just your laptop running a 100-billion parameter model at human reading speed. Here's how it works: Every other LLM stores weights in 32-bit or 16-bit floats. BitNet uses 1.58 bits. Weights are ternary just -1, 0, or +1. That's it. No floats. No expensive matrix math. Pure integer operations your CPU was already built for. The result: - 100B model runs on a single CPU at 5-7 tokens/second - 2.37x to 6.17x faster than llama.cpp on x86 - 82% lower energy consumption on x86 CPUs - 1.37x to 5.07x speedup on ARM (your MacBook) - Memory drops by 16-32x vs full-precision models The wildest part: Accuracy barely moves. BitNet b1.58 2B4T their flagship model was trained on 4 trillion tokens and benchmarks competitively against full-precision models of the same size. The quantization isn't destroying quality. It's just removing the bloat. What this actually means: - Run AI completely offline. Your data never leaves your machine - Deploy LLMs on phones, IoT devices, edge hardware - No more cloud API bills for inference - AI in regions with no reliable internet The model supports ARM and x86. Works on your MacBook, your Linux box, your Windows machine. 27.4K GitHub stars. 2.2K forks. Built by Microsoft Research. 100% Open Source. MIT License.show more

Send love and luck and create a custom St.... Patrick’s Day card to send anywhere in Ireland and around the world, using the online An Post AI Card Creator. We will print and post to Ireland or Worldwide for €4. Try it now for a limited time only: #SendLoveshow more

FastMLX: Turn your powerful Mac into an AI home... server 🚀 Using my M3 Max (96GB URAM) to run a VLM, streaming responses to my M1 MacBook Air over WiFi.🔥 > pip install -U fastmlxshow more