Thanks! That was an insightful read. Didn’t know models/learning could be this efficient and small. Main reasons why I asked is, I saw another app on Reddit that mentioned learning is done locally, but others found out it was alloted to gemini on users’ phone (which the dev insisted was done locally but not really privacy respecting imo) and almost every app with such a feature was humongous. Thanks for making Aftergleam and keeping it open source

Hi, I’ve been using the app ever since it was on F-droid. I wanted to ask you about the learning/model. The app is under 2MB, so where is the model/learning done ? Is the learning assigned to gemini ?

Yes, please ban them. If not, soon this space will get overrun with those losers. This is what happened to r/fossdroid and r/opensource. 90% of posts there are from sloppers. It got really bad to the point regulars stopped participating, and now these subreddits are mostly just sloppers congratulating each others. Every post reads the exact fucking same, every project looks fucking similar, even comments. These people barely put effort anywhere.

This is a community for people to share and communicate, else we can all just talk to LLMs. Please don’t let that happen to this community.

At the very least, make posters require to have an AI tag on their posts and a separate day for them to showcase their “projects”.

Please don’t reply saying but Linux uses LLMs, or other whataboutisms. There is a significant difference between code quality from people submitting to Linux and a slopper who vibecoded a project thinking they’re helping.

This guy’s videos get pushed a lot to people interested in privacy. He also (used to?) advertise his own “secure social media” with no metadata/tracking, until some other youtuber discovered it had security vulnerabilities. I’d suggest, stay away from anything related to Brax