No, it's
USB-A
USB-C
USB-A
USB-B
No, it's
USB-A
USB-C
USB-A
USB-B
I've used Wayland exclusively for years, but here's an example: https://michael.stapelberg.ch/posts/2026-01-04-wayland-sway-in-2026/
tl;Dr the Wayland ecosystem has still not caught up in all edge cases, the weirder setup you have the more likely you're affected
Minix is a different (older) kernel from Linux: https://www.minix3.org/
The article is AI slop, I wish they dimply front loaded the video and the explanation given in there instead of full paragraphs of nothingness
Unfortunately, for the enthusiasts who had a left-aligned or vertical taskbar in Windows 10, you would have to settle for the fact that Microsoft’s data shows such users are really small when compared to the number of users who are asking for other newer features in the taskbar.
Translation: they want to stop paying Denuvo for their DRM system
There's time until March for the maintainers of the 3 niche architectures to organize and make rust available for them. Doesn't sound that abrupt to me
Nevermimd that signal's centralisation makes it vulnerable to this kind of outage, and that was a conscious design decision. So nobody should be surprise this has happened.
For fuck's sake, why can't we have nice things?
Isn't that the bare minimum mandated by the EU?
Did Synology just hire some brain dead Broadcom executive?
Well, Citrix's CEO was Broadcom' software boss
And also hasa place at the US treasury, he's DOGE-affiliated as well: https://www.crn.com/news/cloud/2025/citrix-parent-ceo-krause-on-doge-role-we-re-applying-public-company-standards-to-the-federal-government
Xcp-ng might have the edge against bare metal because Windows uses virtualization by default uses Virtualization-Based Security (VBS). Under xcp-ng it can't use that since nested virtualization can't be enabled.
Disclaimer: I'm a maintainer of the control plane used by xcp-ng
I agree that AI chatbots are absolutely useless and have no place in a browser, but out of the three ML features in the screenshot, one is great for blind people, and another one is great for making the web more multilingual, so their usefulness is quite self-evident. Regarding ethics, at least for the last one it's using a local model, and was trained using open-source datasets.[1]
What makes so-called "AI" bad is not the amount of users that can benefit from it, but how useful it is to the people that do use the feature, which usually means having experts tailor machine learning unto a single purpose.
I personally use the translation feature at least once a week when looking at news article that are not in English, and now I'm using a lot to translate Japanese webpages to plan a holiday there, so I'm very happy that Mozilla has invested time abd collaborated with universities to make this feature, I wish other people were less flippant about it just because it has "AI" in its name.
[1] https://hacks.mozilla.org/2022/06/training-efficient-neural-network-models-for-firefox-translations/