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This is the best summary I could come up with:
The DRM Panic handler in Linux 6.10 that is used for presenting a visual error message in case of kernel panics and similar when CONFIG_VT is disabled continues seeing new features.
With Linux 6.11, the DRM Panic display can now handle monochrome logos.
With the code in Linux 6.10 when DRM Panic is triggered, an ASCII art version of Linux’s mascot, Tux the penguin, is rendered as part of the display.
If ASCII art on error messages doesn’t satisfy your tastes in 2024+, the DRM Panic code will be able to support a monochrome graphical logo that leverages the Linux kernel’s boot-up logo support.
This monochrome logo support in the DRM Panic handler was sent out as part of this week’s drm-misc-next pull request ahead of the Linux 6.11 merge window in July.
This week’s drm-misc-next material also includes TTM memory management improvements, various fixes to the smaller Direct Rendering Manager drivers, and also the previously talked about monochrome TV support for the Raspberry Pi.
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This is the best summary I could come up with:
If you’re on Mastodon, you might notice new author bylines appearing alongside articles — including those from The Verge.
Click on the byline, and you’ll jump directly to the author’s fediverse account, allowing you to track their work wherever it’s posted.
You can see how author bylines appear beneath articles in this post, which links you to Mastodon CEO Eugen Rochko’s profile.
It can also lead to a person’s profile on Threads, Flipboard, WordPress with ActivityPub, PeerTube, and others.
Mastodon is working to open up the feature to more outlets, too, but it currently requires “manual review” to prevent “malicious sites framing users as their authors.” However, Mastodon plans on launching “a self-serve system” to manage the sites authors can appear from in the future.
Even though it’s not widely rolled out just yet, it does seem like a neat way to quickly find out who wrote an article and check out their other work across multiple platforms.
The original article contains 242 words, the summary contains 158 words. Saved 35%. I’m a bot and I’m open source!