The Finnish company Jolla is back with the Linux-powered Jolla Phone. It’s being positioned as an antidote to the US-dominated smartphone status quo of Android and iOS.

https://archive.md/K9AhG

The Finnish company Jolla is back with the Linux-powered Jolla Phone. It’s being positioned as an antidote to the US-dominated smartphone status quo of Android and iOS.

  • Jack@lemmy.caEnglish
    36·
    2 days ago

    and a 32-megapixel selfie shooter

    Do the people who want a Linux phone that isn’t Android, also want a selfie camera? Those 2 things don’t seem to go together.

    the new Jolla Phone won’t have any AI capabilities at launch, Saarnio says an integration will be an option users can enable later this year.

    Again, Linux and LLM?

    I personally don’t like the phones/software targeting the privacy-demographic, because of all the pro-crypto and LLM stuff. Anyone have suggestions for phones for people who care about privacy, but care more about ethics? So no: LLMs, crypto, Russia/Chine/USA components?

    • rumba@lemmy.zipEnglish
      12·
      2 days ago

      Do the people who want a Linux phone that isn’t Android, also want a selfie camera? Those 2 things don’t seem to go together.

      Yeah, I want to be able to have a video call with my family that doesn’t look like ass. I’d also like to be able to attend meet/zoom calls without being called out for using a potato.

      the new Jolla Phone won’t have any AI capabilities at launch, Saarnio says an integration will be an option users can enable later this year.

      Less so, but then again, if I’m in control of my data, getting a on-device speech to text for a conversation would be good, if I could use the hardware to fuel a swipe text model, that would be net positive.

      • Jack@lemmy.caEnglish
        24·
        2 days ago

        Selfie cam: oh.

        Personally I’ve never seen the advantage of my or others’ faces in calls/conference-calls.

        LLMs: are there open-source ones, not built from stolen text?

        • rumba@lemmy.zipEnglish
          2·
          2 days ago

          Don’t think LLM, think specific training data. instead of tapping out T H I S, you press down at the T, swipe over to the h, up to the I and left to the S then release.

          The NPU takes that squiggle you just made and runs it against a model that’s been trained on tens or hundreds of thousands of squiggles to deciper the word you just swiped. It’s not trained on books, or the whole of humanity and the internet, it’s just trained on the keyboard app you’re using and other people who have used it. if they swipe and keep going, the word was right and the squiggle counts, if they went back and corrected the text, that’s the answer for the squiggle.

          There are all kinds of AI things out there that aren’t LLM based.