

Stop hoping and blaming and get in the fucking trenches.


Stop hoping and blaming and get in the fucking trenches.


Yeah, F-Droid works. I decided to go with Obtainium. The GPS signal is good enough in my city. The maps app itself is serviceable. It’s essentially a UI for OSM data.


I have the same phone. It’s fine. I keep my Pixel phone with GrapheneOS on it at home for banking apps, Briar, and a couple other things. A few things to note:


As a John in both name and in relation to my main project at work, I am working my ass off to write comprehensive documentation and to train the rest of the team to take over. I don’t wanna be working on this same shit in 5 years.


I’d recommend looking at used Nvidia Shields. They’re simply the best Android TV boxes available. There are pretty good instructions available to remove all the proprietary stuff from the devices, too.
I also have a OnePlus 6 with Mobile NixOS. I haven’t been able to get audio or camera to function, so it’s just a toy on m desk at the moment. Other than that and a few UI quirks, it’s serviceable.


threads and spaces?
It’s important to make a distinction between the definition of “open source AI” canonized by the OSI that doesn’t require open training data, and models where all of the training data used is also made available.
Separately, the tools most people think about when they hear “AI”, generalized generative AI models, only exist as capitalist surplus, and we shouldn’t be defending them. Hyper focused AI tools such as the Te Hiku Media project to create speech recognition tools for the te reo Māori language are unequivocally good, and we should be making a lot more projects like this.
I’m fairly certain that there is an issue with AMD and HDMI licensing that is a barrier here