- cross-posted to:
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- cross-posted to:
- [email protected]
Imagine taking the lightweight, privacy-focused appeal of Linux and completely ruining it by hardwiring AI models straight into the OS. Nobody is switching from Windows for more forced AI features.
As a Linux user, we might not, but most projects do. It’s actually hard to find a project that has a strong rejection of the plagiarism machines. I’ve been trying to rebuild my workflow without commits from them, and I’ve had to jump to a BSD and start using wip source builds and send compatibility patches for other things (luckily, I’m a developer, too). And, EVEN THEN there are some generative AI code that I haven’t been able to excise – getting an “AI”-free C compiler means using a fork from an old version.
It all makes me sad. I’ve written code for fun since I was in kindergarden; I don’t want to stop using computers, but FUCK all this unavoidable “AI” getting everywhere.
It’s in the compiler ಠ_ಠ
As someone with a little programming knowledge there’s something that’s bothered me for a long time:
Why is nothing ever done? How is there still something to add to a C compiler in 2026?
The C standard is routinely updated. Both of the compilers support multiple languages, which are also receiving new versions. Finally, even if the language was unambiguously defined and never changed, new in-compiler optimization strategies are still being discovered and implemented.
Also, every compiler I’ve ever used for every language I’ve ever used includes at least some features that are not part of the language standard/specification (if it exists), and those pieces are also refined, sometimes even with the goal of getting them into a later version of the language.
That said, if the code you are compiling was really C2010 conforming, it will almost certainly work in a compiler fork from more than a decade ago. Unfortunately, most projects and developers either don’t care to or don’t know how to keep their source code strictly conforming.
Well, hardware keeps updating. A compiler turns human written code into machine instructions. And as the machine keeps changing, so do the ways to run instructions on them.