This is a most excellent place for technology news and articles.
It’s interesting to see AI being used for something as practical as debugging a Linux issue. I think the bigger question is how much developers can rely on AI without losing their understanding of the underlying code. AI can clearly speed things up, but human review still seems essential.
I think its pretty clear that an OG hacker like linus using AI as a helpful assistant is very different from a junior dev using it as a crutch
The question now is how to develop proper software engineers who have the old school skills first and foremmost, and then are able to use the assistance of an AI
It's especially essential to mark the code as AI generated. AI makes mistakes just as humans do. Problem is AI makes different kinds of mistakes than humans.
A human will tend to forget to do something they were supposed to do. An AI will do a bunch of unnecessary shit.
Also you can tell that a human didn't put a lot of thought into some code (no comments, sloppy variable names) so you're more likely to say "yeah ok, I used to make that kind of mistake when I was younger" and just fix it. AI generated code will have all kinds of comments which normally makes you more hesitant before making a change. It looks like someone really thought through what they were doing, but in reality it's something generated by an LLM and no real thought was given to the code.
Seems like an AI apologists article. Sounds a bit like "bans are hard so why even bother."
No, the alternatives exist and people can choose them where able: https://codeberg.org/brib/slopfree-software-index Sure, not all things are available AI free, e.g. there's no Linux kernel (NetBSD doesn't run on as much hardware), but that doesn't mean there's no point in choosing no AI software where possible, if you care about it.
The enforceability part seems the most apologist to me. You never could really know if some contributor wasn't copying leaked Windows XP code into your FOSS project. If you trust contributors that little, don't let them contribute.
ahahahaha this is rich
If the model is adequately FOSS, i.e. open weights, and can run on a single consumer GPU (or NPU), and the "author" (quotations because I'm personally undecided if one can claim code generated by an aforementioned model is theirs) understands it, then I really don't see what the problem is...
Personally I have nothing against SLMs/LLMs as a technology, to me my grievances against ChatGPT or Claude are mostly about their environmental impacts and selling us back our own art, also keeping knowledge behind a for-profit black-box - if those aren't appropriate for a specific model, then I say using that model is fair, and good for productivity.
