This is why Google has been using their browser monopoly to push their “Web Integrity API”. If that gets adopted, they can fully control the client side and prevent all ad blocking.

Nvidia drivers have had way more issues with mobile chips than with desktop. GPU compute workloads (including things like Blender) are very well supported. Nvidia on Linux has dominated the compute market for a long time.

No, it’s significant because attackers can pump out way more emails while also making them customized to their targets and constantly changing to help avoid detectors.

The TPM releases the key to the OS at boot time. Without that, there would be no way for the OS to load (assuming the root FS is encrypted).

The key is bound to PCRs in the TPM, which control under what conditions the key can be released. For example, it can be tied to secure boot, bios settings, etc.

In addition to what others have said, make sure the vents are not full of dust or obstructed.

Aside from the group suggestions, you could also use ACLs. https://wiki.archlinux.org/title/Access_Control_Lists

They almost certainly won’t. Every so often they make a big show of these raids and then quietly drop it later. Check out some of Jim Browning’s videos to see how the raids work out.

Arch Wiki for more general info. Official docs/man pages of whatever thing you are working with for details.

Removing orphaned dependencies every once in a while is a good idea. If these were installed as dependencies and are not dependencies anymore, this would get rid of them.

https://wiki.archlinux.org/title/Pacman/Tips_and_tricks#Removing_unused_packages_(orphans)

Greatly increasing taxes for the super wealthy and closing tax loopholes would be a good start.

With rootless containers, even root in the container is basically useless anyway because it truly runs as a fake ID on the host.

I’ve seen this repeated a lot, but I’m not really convinced running as root inside containers is a good/safe thing to do. User namespaces can provide some protection for the host, but that does nothing for the rest of the files inside the guest. For example, consider a server software with an arbitrary file write vulnerability. If the process is running as a low privilege user, exploiting the vulnerability might not really get you anywhere. If it’s running as root, it’s basically a free pass to root privilege and arbitrary code execution within the container.

H264 does work fine in the paid version. The lack of AAC support is sometimes an issue though. For footage in AAC+H264, I usually just run it through ffmpeg to transcode the audio to PCM and keep the video as-is.

Honestly, I think his communication here is fine. He’s probably going to offend some people at NIST, but it seems like he’s already tried the cooperative route and is now willing to burn some bridges to bring things to light.

It reads like he’s playing mathematics and not politics, which is exactly what you want from a cryptography researcher.

They aren’t accommodating the gambling industry. It’s a bug fix for a media player issue. The text in the changelog comes from the bug report title. The bug isn’t specific to that site, and neither is the fix.

You need to install the CUDA package to use Nvidia GPUs in blender. This is in the arch wiki page for blender.

I think they already have. I held off on Wayland on my main machine for a long time due to Nvidia issues. For example, I was getting rendering issues where some windows/popups would be totally invisible until I moused over them. Those issues are now gone, and I’ve been running Wayland for the last few months with no problems at all.

The system will be secure for personal use as before.

I wouldn’t be so sure of that. CPU side channels allow data to be leaked across security contexts. For example, from a user process to sandboxed JavaScript in a browser, from kernel space to user space, or from one containerized process to another. This is a problem even on a single user system without any VMs.

Some Chromebooks are pretty hackable. I’ve got an older one that I reflashed with tianocore UEFI firmware. It makes for a pretty decent cheap and lightweight low power laptop. You can run basically any standard ARM Linux distro on it.

What do you define as “source” for an AI model? Training code? Training data set?

Looks like it’s got a jam. Did you reduce retractions with the direct hotend? If not, you are probably retracting way too far, which will cause filament to solidify in the cold area and jam up.