It’s not AI usage in the kernel - it’s the increase in AI to do code auditing that had seen the spike in bug reports. A lot of FLOSS projects are seeing this regardless of their use of not of AI to generate code.
FLOSS virtualization hacker, occasional brewer
It’s not AI usage in the kernel - it’s the increase in AI to do code auditing that had seen the spike in bug reports. A lot of FLOSS projects are seeing this regardless of their use of not of AI to generate code.


If your just need to wiggle gpio pins then you can get a Pico. The Pi is way too overpowered for most embedded things.


Why run Molly when Signal is right there? Is this about getting it via places other than the Play store?


Well packaged by the distros? Transmission works out if the box on my Debian systems.
I didn’t see anything in particular talking about allowing apps which have used AI although they seem to be using agents to do the repackaging.
According to the site it is repackaging upstream binary releases in a flatpak rather than building anything. I guess for example you could point it at the official Krita app image and make it available that way rather than relying on the community flathub build.
I only had a partial backup of the original assembly. It turned out it was slightly out of date if the shipped binary which is archived on various scene servers. The target for the agent was for the build to be byte identical with the scene archive which did necessitate a few macros to coerce GNU as to do what DevPac would do.
The additions the agent identified vaguely tickled my memory of things I had fixed but this was something I originally wrote when I was a teenager in the 90s 😅
I did give the rea plugin a spin yesterday to restore the source for something I made in the 90s where I only had a partial backup of an old version of the code. It was able to get to a byte identical artefact but built with GNU as and all the artefacts split out into pngs.
It took a few hours for something that would have taken me days if I’d be actually been inclined to spend the time. I can totally see the appeal of offloading a boring and laborious task to an LLM agent that will just chug through the stages.
But what is the purpose of these decomps once done. Are they intending to do something interesting with the result? Study, tweak, remix?


A large installed base of web apps including giants like Wordpress combined with a desire not to migrate when something is working.


Slop has existed before AI but it has lowered the barrier to generating it. Having no AI policies isn’t really working because the slop posters don’t declare it and as a reviewer you don’t want to be second guessing a potential contributor.
We are probably going to move to a policy that allows narrow use of AI tools but emphasises human understanding and ownership as mandatory components of contribution.
I dunno, probably funding the majority of engineers that work on key components of the system.
In my experience having maintainers who are paid means they have time to do the long term work on improving the projects.


The documentary makes a lot about the communication between the agents on the notice board. One of the talking heads did point out the conversations are the way they are because they are trained on human chat and discussion.


Unlocking embedded devices is one use case I can get behind for LLM use. I’m unlikely to want to rely on purely vibed software but if it opens the door to more considered software afterwards then what the hell.


He just wants to keep rolling the dice on his poor decisions until it pays off. I guess absorbing Tesla into the one “successful” IPO will hide the losses and leave the investors holding the bag.
Other firmwares exist, even libreboot is a fork of coreboot. The availability of the code is not an automatic invite to start judging it’s authors. The four freedoms are there so exercise them.
Hmm age gated so can’t view with PipePipe.
Good luck getting the masses to adopt them. Passkeys seem like an improvement on trying to get your average meat brain to remember several unique passwords.
Have you never felt a ladies feet at night? Ice blocks.


I can absolutely understand some of the objections and I understand why writers and artists are pissed. My code has always been free software so I don’t object to it being in the training sets because that seems fair use according to the four freedoms.
The power usage is definitely a concern but that holds up for all computing. I don’t see people up in arms about inefficient CI loops retesting the whole world for a single line change. Think of savings that could be made!
Same exploit that was used against the French a few weeks ago?