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What Meta got right with Muse

138 points · 189 comments · young_mete

  1. egl2020 · · focus · HN ↗
    The privacy issue blocks me from adopting this or other personal assistants: do I want to give muse my identity data and access to my mail, calendar, and phone so it can do even basic tasks like make appointments or pay bills?

    It will be interesting to see if muse's privacy features can get users over this.

    1. rienbdj · · focus · HN ↗
      There will come a point where the local models are good enough (and iPhones powerful enough) for this to be possible without privacy downsides.
      1. reacharavindh · · focus · HN ↗
        I’m sure there is probably a skunkworks like team secretly working at Apple trying to make the hardware needed to accelerate local models enough to handle personal data processing needs without decimating the battery. I’d guess another team is probably tasked at researching a E2E encrypted remote inference mechanism where the personal data that does get out of the iPhone/ipad/Mac is encrypted with something Secure Enclave on processor, and “even Apple can’t read it”..

        Apple is my long term bet for personal AI computing.

        No way in hell am I letting FaceBook/OpenAI/Anthropic/Deepseek/anybody have complete access to my personal digital life. That’s just dumb.

        Just look at OpenAI digging through ChatGPT logs to get the idea to solve the math problems etc. I’m sure all the subscription plans and subsidies are aimed at gathering enough breadth of real people comms to get the models to improve on wider signals…

        Worst case, I don’t want to be voluntarily giving up my digital footprint to get profiled a certain way and be fed what AI overlords (or the companies that wield them really) think I should get as an answer/response.

        My thoughts and activity stays private as much as practical and feasible.

        1. r_lee · · focus · HN ↗
          > where the personal data that does get out of the iPhone/ipad/Mac is encrypted with something Secure Enclave on processor, and “even Apple can’t read it”..

          there already is technology for this, which is Confidential Computing which is implemented on Nvidia etc.

          it requires transparency to audit it properly and if there's an exploit which weakens it then the security guarantees fall apart

          but in terms of commercial viability, it's the most promising way to tackle this and it seems like Apple is already pushing for it with their Private Cloud Compute

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