Microsoft has introduced BitNet b1.58 2B4T, a new AI model designed to run efficiently on CPUs, including Apple's M2 chip. With 2 billion parameters and trained on 4 trillion tokens, BitNet outperforms similarly sized models in several benchmarks. Its unique approach quantizes model weights to just three values: -1, 0, or 1. This dramatically reduces memory and processing requirements, making the model ideal for lightweight devices and embedded systems where GPU resources are limited or unavailable. BitNet is open source under the MIT license, but it requires Microsoft's custom bitnet.cpp framework and does not currently support GPU acceleration. This development is particularly important for marketers and developers working on applications that need to run AI models locally, such as mobile apps or IoT devices. By enabling advanced AI capabilities without the need for expensive hardware, BitNet could help expand the reach of AI-powered solutions to new markets and use cases.