kernel should adopt autotools

On the debate on the #xz exploit: did we just get lucky or does the discovery demonstrate the strength of open source.

I think it's a bit of both: we definitely got lucky, but we did have a hand in making our luck: Open Source, by design, empowers the curious and it only takes one curious person to dig deeply enough, so our luck was there being that one curious person; the rest we made.

So your mission, if you choose to accept it, is to be more curious

*enables CONFIG_KERNEL_XZ=y*

I'm not in danger, I'm the danger!

One guilty pleasure i have is scanning for FTP pub's like it's 1999 from time to time.

nmap has a built in script for this ( --script=ftp-anon ) (use polite timing, of course)

There's nothing quite like finding a trove of infinite depth hidden behind a seemingly innocuous set of a handful root folders.

Today I stumbled upon ftp.zimmers.net which has a huge trove of #retrocomputing software, manuals, schematics, firmware, magazines, etc,... (check out /pub/cbm), and a fittingly amazing accompanying website, http://zimmers.net/

List some of YOUR favorite #FTP sites?

STOP DOING VMA_MERGE()

VIRTUAL MEMORY AREAS WERE SUPPOSED TO REMAIN SEPARATE

YEARS OF MERGING yet NO REAL-WORLD USE FOUND trying to limit process vma count to less than your FINGERS

Wanted to go lower anyway for a laugh? We had a sysctl for that: It was called "vm.max_map_count"

"Can we merge the PREDECESSOR?" "Can we merge the SUCCESSOR?" "Can we merge BOTH the PREDECESSOR and the SUCCESSOR?" - Statements dreamed up by the utterly Deranged.

LOOK at what the mremap(), brk() and mprotect() has been demanding your Support for all this time, with all the 8 different cases of merging we built for them.
(This is REAL Code, done by REAL Kernel developers).

if (addr == prev->vm_end && mpol_equal(vma_policy(prev), policy) ?????
&& can_vma_merge_after(prev, vm_flags, anon_vma, file,
pgoff, vm_userfaultfd_ctx, anon_name)) { ???????
merge_prev = true; ?????????????????

"Hello, I would like PPPPCCCCNNNN to become PPPPNNNNNNNN please"

They have played us for absolute fools

https://lore.kernel.org/linux-mm/20240401192623.18575-2-vbabka@suse.cz/T/#u

@ljs @oleksandr current map of the pollution alert, only Ostrava area, and Brno https://www.chmi.cz/files/portal/docs/meteo/om/vystrahy/index.html

Whenever I look at an image that's marked "sensitive," I always re-hide it before scrolling away. Just a common courtesy, like rewinding a CD after you're done listening to it.

My strategy of preventing maintainer burnout by deleting code once again paid off.

The Linux kernel represents the best example of the advantages/disadvantages of corporations paying maintainers. thank u for coming to my TED talk.

The Warning, of course, made a song about the current perfect programed disaster, years ago already https://youtu.be/DqPj-E_8f3c

Not only should you NOT provide amazon with your palm print, you should be doing everything you can to keep your finger- and palmprints out of high resolution images, as a whole. (Also your keys, but please tell me you know that already.)
https://www.theverge.com/2024/3/28/24114499/amazon-one-palm-scanning-mobile-app

The worst part about having a cat is when they make you answer their riddle to use the stairs.

me, learning about about the atomic age: man it's so goofy they tried to use radioactivity for everything.

15 YEARS LATER

every tech company i've ever interacted with: We've added AI to our product!

I'd like to interject for a moment. What you refer to as Linux is, in fact, not real. Please wake up

Question for #kvm mastadon:

What would be the best resource (apart from code) if I want to understand how ASIDs are handled throughout the lifecycle of a VM on AMD CPUs? Is there some documenation that's fairly up to date on it after the changes being done to handle SEV VMs?

Слава Україні!

knowing that you are a git

I know.

So the next Boeing CEO is Elon?

#Generative #AI is not going to make #AGI, ever.

The performance of LLMs is the log of their parameter size. The resource use is proportional to their parameter size.

The human brain is approximately equal to a 60 quintilion parameter model running at 80hz. It consumes the energy of a single lightbulb.

GPT-5 is likely a 1 trillion parameter model, and requires massive energy.

LLMs are amazing, but they're nowhere near approaching AGI.

https://www.wired.com/story/how-quickly-do-large-language-models-learn-unexpected-skills/

Please bring victory to Ukraine