
-
In almost all tests except from MariaDB. It is now time to see some BTRFS compression benchmarks.

-
Open cmd with Shift + F10 and type OOBE\BYPASSNRO

-
Find and replace the with a space.

-
“The X86_NATIVE_CPU Kconfig build time option has been merged for the Linux 6.16 merge window as an easy means of enforcing “-march=native” compiler behavior on AMD and Intel processors to optimize your kernel build for the local CPU architecture/family of your system.
The CONFIG_X86_NATIVE_CPU option is honored if compiling the Linux x86_64 kernel with GCC or LLVM Clang when using Clang 19 or newer due to a compiler bug with the Linux kernel on older compiler versions.”

-
New PR under contruction …
“Keeps a warning active when the users desired retention 90% to try and hint at the correlation between desired retention and intervals for people who have not yet changed the value.”

-

“Notable speedups in
cat,ls,wc,tail,seq, and more — many now match or exceed GNU performance.”GNU Test Suite Compatibility:


-
The package has many weird dependencies. So …
- Install gcc-fortran
- > pacman -Qi gcc-fortran
Name : gcc-fortran
Version : 15.1.1+r7+gf36ec88aa85a-1
Description : Fortran front-end for GCC
Architecture : x86_64
URL : https://gcc.gnu.org
Licenses : GPL-3.0-with-GCC-exception GFDL-1.3-or-later
Groups : None
Provides : gcc-fortran-multilib
Depends On : gcc=15.1.1+r7+gf36ec88aa85a-1 libisl.so=23-64
Optional Deps : None
Required By : None
Optional For : r
Conflicts With : None
Replaces : gcc-fortran-multilib
Installed Size : 45.97 MiB
Packager : Frederik Schwan <freswa@archlinux.org>
Build Date : Sun Apr 27 16:13:35 2025
Install Date : Sat May 24 13:52:11 2025
Install Reason : Explicitly installed
Install Script : No
Validated By : Signature
- > pacman -Qi gcc-fortran
- Install Hmisc (Harrell Miscellaneous)
- Intsall Gmisc (Descriptive Statistics, Transition Plots, and More)
- install.packages(“flowchart“)
- Install gcc-fortran
-
“A zero-day vulnerability in the Linux kernel was discovered, utilizing OpenAI’s o3 model. This finding, assigned CVE-2025-37899, marks a significant advancement in AI-assisted vulnerability research.”










