The device is intended as a private-cloud-cum-AI-router that makes the user’s data accessible for running AI queries.
“We don’t believe it’s a good model to put AI run locally here in the phone. It’s not secure,” argues co-founder Antti Saarnio. “You can never make smartphones secure enough for that. We believe that in this AI era privacy becomes much more important.”
I genuinely fail to see how a static, always connected network device that is supposed to act as a basket for all your eggs (which, metaphorically speaking, means your data) is more secure than a smartphone that:
- You always carry around with you and cannot be taken away unless by force
- Has designated transistors to handle local models efficiently
- Does not necessarily require Internet traffic
To elaborate, Hexagon NPUs have been available since the Snapdragon 855 (2019) for Qualcomm devices. On top of that, being able to interact with both the unprocessed and AI-processed data locally due to the I/O offered by smartphones (which includes display, speakers, touchscreen, etc.) renders sending the data redundant and unsafe, due to the nature of the Internet.
I am glad Jolla is spending its already limited resources on the AI hype train and simply neglecting years long requests by SailfishOS users. In addition, the bad English and awfully written article (as expected by TechCrunch) really were the icing on the cake.