9 ms·

Haven't you ever wondered if some mobile apps listen to you? And then you get accurate targeted ads...

joering2 5y ago
People keep downvoting me, because "we need you to send a proof", but sorry I don't want to share Snowden's fate, but I know for fact IOS/Android, most TVs and major TV cable boxes (USA) are indeed analyzing your speech and sending back home _keywords_ from your conversations. I can imagine that's how they avoid being sued into oblivion for clear 4A violation, as metatags have been considered not a violation of your privacy by courts. But go ahead, try it yourself! Have a conversation about having children with your loved one, next to your phones and your TV box, no online search required. Give it few hours and turn your Sling on, or browse some Amazon/Youtube. All of sudden you will see ads for products and companies you have never heard of, trying to sell you diapers or baby cribs. Where do you think it came from? Google, as of today, still is unable to read your mind.
- astrange 5y ago
  They ain't doing shit. Voice assistants only listen for their built in trigger words, if you even turn that on, and they do what they say with the conversation afterwards. 4A doesn't matter anyway, what matters is GDPR, it's not worth building a system that is not GDPR compliant even if you're outside the EU.
- KaiserPro 5y ago
  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://rhasspy.readthedocs.io/en/latest/wake-word/, https://github.com/MycroftAI/mycroft-precise 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.
  - joering2 5y ago
    Did you try the example I described at your home? 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.

People keep downvoting me, because "we need you to send a proof", but sorry I don't want to share Snowden's fate, but I know for fact IOS/Android, most TVs and major TV cable boxes (USA) are indeed analyzing your speech and sending back home _keywords_ from your conversations. I can imagine that's how they avoid being sued into oblivion for clear 4A violation, as metatags have been considered not a violation of your privacy by courts. But go ahead, try it yourself! Have a conversation about having children with your loved one, next to your phones and your TV box, no online search required. Give it few hours and turn your Sling on, or browse some Amazon/Youtube. All of sudden you will see ads for products and companies you have never heard of, trying to sell you diapers or baby cribs. Where do you think it came from? Google, as of today, still is unable to read your mind.

astrange 5y ago
They ain't doing shit. Voice assistants only listen for their built in trigger words, if you even turn that on, and they do what they say with the conversation afterwards. 4A doesn't matter anyway, what matters is GDPR, it's not worth building a system that is not GDPR compliant even if you're outside the EU.
KaiserPro 5y ago
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://rhasspy.readthedocs.io/en/latest/wake-word/, https://github.com/MycroftAI/mycroft-precise 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.
- joering2 5y ago
  Did you try the example I described at your home? 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.