Top Tweets for #Bitnet

This is one of those “this changes everything” moments. Microsoft just broke a core assumption in AI. You needed GPUs to run big models. Not anymore. They open-sourced BitNet, an inference framework that runs a 100B parameter LLM on a single CPU 🤯 No GPU No cloud No expensive setup Just your laptop. Here’s the trick: Instead of 16-bit or 32-bit weights... BitNet uses 1.58 bits Yes, seriously. Weights = -1, 0, +1 That’s it. No heavy matrix math. Just simple integer ops your CPU already handles easily. And the results? • 100B model → 5–7 tokens/sec on CPU • Up to 6x faster than llama.cpp • 82% less energy usage • Runs on x86 + ARM (MacBook) • Memory reduced by 16–32x But here’s the insane part: 👉 Accuracy barely drops. Their model (BitNet b1.58 2B4T) competes with full-precision models trained the “normal” way. So what does this unlock? • Fully offline AI (privacy ↑) • No more API bills • AI on phones, IoT, edge devices • Access in low-internet regions We’re watching AI move from “cloud-only” → “runs anywhere” The GPU monopoly just got… shaky. And this is open source. Let that sink in. 🚀