FreeRDP and wayvnc are supposed to work.
Hyper convergence between phones, desktops, storage and networking. I think there has just been awesome progress in all of those fronts to the point that have a home server(s) that serves out the home wifi, shared storage, desktops (for gaming, school, and personal use) to the sharef human interfaces of choice. Even more so treat them as one giant multiuser machine, instead of a dozen separate devices.
A better "desktop as an IDE" experience would be killer to me too. Even if it's not for everyone, I think as an accelerator for FOSS designers of Linux desktop apps it would be cool
AppArmor is less complicated. That's the main reason
We need more need to normalize companies stepping up to pay for security development for opensource products they utilize. If companies aren't putting FTEs to cover their risk of using a product or service then they should be held liable for any damages that causes them or their customers. This is for more than FOSS and for more than CVEs but also critical errors that cause delays in business continuity.
The issue is many c suite are just now under standing this and many justice systems seem behind on this.
Is there any energy input vs recovered output data on this?
Fortunately or unfortunately I think there is plenty of time before successful adoption starts to impact the majority of IT related careers. Just based on the rate of adoption of other useful but complicated IT frameworks like k8s.
"All of OpenFarm’s data and content is in the Public Domain (CC0) and readily accessible via our API within reasonable bandwidth limits" from their about plus a link to their API (though stated in alpha).
The more that do and contribute the more of a no brainier it will be too!
Organic maps, is what I use.
FreeOTP+ has been good to me
Couldn't the fact that AI generated content be reproduceable if give the exact parameters(or coordinates in latent space) and model help remove the confusion? Include those as meta data and train investigators on how to use to distinguish generated content from actual evidence.