Local speech recognition is something useful that runs well on a (power efficient) NPU.

Dragon Naturally Speaking used to cost real money and wasn't as accurate as an open model like Whisper.

These things are a waste of sand.

Could’ve added more gpu or cpu or cache and people would’ve been happier.

When these came out, I thought, what is the average PC user going to get out of this? Faster image touchups, and...? You can't run an LLM chatbot of any comparison to free cloud models.

Oh yeah, and Recall. That worked out well.

Yep… massive waste. A dsp coprocessor hobbled by npu workflows.

> Could’ve added more gpu or cpu or cache and people would’ve been happier.

I actually wonder about this - my regular dev workstation is a Qualcomm ARM laptop - by-and-large my bottleneck for CPU-bound tasks is thermal. Would adding more CPU or cache instead of the NPU help with performance/watt?

Mine is used for background retouches, and possibly speech recognition when dictating (Firefox had to download a model the last time I think...).

The potential is there, software just needs to catch up.

As usual Microsoft messes up marketing and abandons the possibly usable tech before it spreads. Then competitors will be successful with it and Microsoft will lag behind. Good strategy, bad execution, as standard MS practice.

We cantnrun local models on them? They must have some sort of api exposed right? Qualcomm has the Snapdragon Neural Processing Engine iirc

You can do cool experiments with them. But nothing a typical consumer is likely to care about.