The issue here isn't so much Google. Just people being stupid and not taking the time to learn how to secure something
goosegooseboat
joined 1 year ago
Worth mentioning to those unfamiliar with e/os is it comes with a built in app store "app lounge" that also has access to play store apps so you don't even need to go to the effort of installing aurora. One less thing you have to do
I can't personally speak on the banking side. e/os has micro g implemented now, and on my device it passes the safety checks associated with it. To be fair though I can't give a full endorsement for how well micro g works as a whole (I'm not logged in) In general I've shifted to FOSS apps so my sample size for google play services reliant apps is limited but the one's I have used, open fine without annoying pop up errors.
As someone that happens to using e/os on a phone with an unofficial device. You are technically correct. They offer custom Roms for a variety of devices that you can install however they also have their own range of devices which admittedly is lack luster in terms of price to performance. From what I gather those devices try to follow in the footsteps of the Fairphone but with all the growing pains of a startup... I like the os. they offer cloud services as an addon that you can pay for which is based on nextcloud. The integration with the cloud services in surprisingly deep. Coming back to the fact that its based on nextcloud you also have the option to self host (which I recommend) and still benefit from the tight integration and that aspect alone is a major reason why I'm still using it. Gallery, notes,backups,cloud storage. All the Google like service's built in but without the Google
For the life of me can't remember the scores I was getting on gpt4all. But given that you tried it I'm guessing you'll most likely take a liking to LM studio or perhaps jan.ai. both GUI tools. If the lack open source bothers you go for Jan.ai, if not then go LM studio. LM studio in particular allows for full and partial GPU offloading. So if you have a semi capable but not quite enough vram on it you can load part of the model on the GPU to speed up inference. As a side note pure CPU on my old ryzen 1600 I was looking at 6/it. Which isn't all that much but glass half full its still faster than the average typing speed and takes the load off of having to think about how to creatively word things