| Ok, for those that want proof, its pretty simple to do. 1) we know that sending voice data to "HQ" costs power 2) we know that live transcription costs a huge wedge of power 3) we know that wakeword matching is quite power efficient. (see https://rhasspy.readthedocs.io/en/latest/wake-word/, https://github.com/MycroftAI/mycroft-precise) So, in a quite room we know that to save power and data, devices won't be streaming data/listening. We can use that as a baseline for power and network usage. Then we can start talking, measure that then start saying watchwords and see what happens. That aside, we know that its really expensive to listen & transcribe 24/7. Its far easier and cheaper to monitor your web activity and surmise your intentions from that. There are quite a few searches/website visits that strongly correlate to life events. Humans are not as unique and random as you may think, especially to a machine with perfect memory. |
You not going to distinguish what people want to BUY from Google search as good as from conversation. When I google "Ferrari" it may mean I am looking for Ferrari wallpaper, Ferrari stats, Ferrari parts, or want to buy new Ferrari. When I have a conversation with someone about buying Ferrari, the conclusion IS I am ready to buy a Ferrari.