Most of the time they’re accurate, but in some cases, they don’t quite work as expected. For example, asking to change mouse pointer colors to a specific color always results in an offer to change it to black, and changing pointer size will reset any other customizations. Still, it works, it’s fast, and in most cases, it’s more helpful than the search tool on a PC that doesn’t have an NPU.
Mu beyond Windows?
At this point, there’s no developer access to Mu in Windows nor is there a public release of the model on GitHub or Hugging Face, unlike most versions of Phi. That’s likely because, like Phi Silica, the model has been designed to work with specific hardware accelerators. While a general release of Mu would be nice, it’s currently tuned for specific NPUs, tying its architecture to Intel, AMD, and Qualcomm NPU designs.
The very focused training in this first release also makes even access via the Windows App SDK unlikely. However, that doesn’t mean it won’t get a public release in the future, especially as having a natural language guide to applications that offer a lot of customization turns out to be really rather useful.
