Once token based pricing hits all the major platforms I expect it will slow down

Yeah agreed, it's incredibly disheartening... The Starlight Network maintains a NoAI list at least: https://noai.starlightnet.work/

I’m all for not having vibe coded security vulnerabilities creeping into my apps but that repo lists apps if they’ve ever even attached copilot to an issue/pr which is pretty hard not to do because the button is bigger than attaching yourself to an issue.

As other commenters have said, a key factor hasn't hit yet: AI is artificially cheap because the whole thing is running on a bunch of investor money in a giant loop.

Once some IPOs go through, these companies will be required (by law) to produce a return to their investors. Given the actual costs of the AI chain, that will be extremely, extremely difficult to do, if it is possible at all.

At the very least, expect some mergers / acquisitions as companies try and consolidate to fix the shortfall by reducing competition. Though specifics are hard to pin down, given the complexity of the production chain and the associated energy costs, this likely won't be enough.

The market will self-correct when it's cheaper to do things the old way. Obviously, FOSS projects should fall off the AI wagon pretty quickly, since they're not revenue generating anyway (at least not directly).

• Linux: the final boss, unbelievable

Shows you don't bother to actually read the mailing list or even just keep up with the open source development discussion.

Linux was probably one of the first places AI was invovled in because it's a well documented highly used software which makes it an easy test bed for LLMs to showcase their abilities.

That was 3 years ago when GPT 3 released.

That absolutely does not mean it has vibe coded slop being added to it. Bad code is still bad code, and Linus will happily tear you a new one (and hand out a ban) for submitting such garbage in a merge request.

Again, these type of posts are dumb and throw outrage at the wrong target. All this anger and disappointment should be directed at the bubble pumping machine like Nvidia, OpenAI, MSFT, etc.

All of these foss project devs would probably have no problem using a local LLM in their work (which many already do) since the hardware requirements have been steadily falling, despite Nvidia's efforts to enforce their stranglehold on cloud demand.

VLC providing real-time subtitles seems like a cool feature, no? A reasonable use of AI? Or are they doing other worse/bad things with AI?

curl is definitely NOT writing code with AI if you follow the newsletter. And wget will never be a valid alternative to curl if you know what they both do. You can safely remove it from the list.

You're not overreacting. Projects enabling AI and ushering in the demise of humanity deserve to die. There's still hope that people will rise up against the machines, but the window of opportunity is closing.

On one hand, I think this kind of listing leaves a bad taste in my mouth, as it can be used for initiating harassment campaigns, etc., sometimes with no true alternatives. Especially for languages, which would require a manual rewrite to the new language, or hunting for a non-compromized fork (D at least has OpenD, which to my knowledge lacks the failed attempts at AI integrations, but also dropped stuff like @nogc labeling which makes it harder to mix garbage collected and non-garbage collected threads).

On the other hand, it can be useful, although I'm more concerned about outright vibe coded bullshit than a few "co-authored" code phrases.

Long story short: LLMs can provide value in software development, especially in senior developer hands. Apparently that value is not something many feel they can just leave on the table.

This doesn't answer the question whether you can separate the tool from it's maker or from how it came into existence or even about possible long-term consequences of it's usage.

But for a lot of programmers these are questions they don't feel compelled to consider, and I can empathize. LLMs are now here and they, like most technology, won't just disappear again for ethical or long-term-risk reasons. Completely shunning them will become a niche, even in the often idealistic world of open-source.

I'm looking forward to when the hype dies down and the general understanding of what LLMs really are and where they are useful becomes more normalized. This whole "AI" nonsense drives me nuts.

Oh geez it's almost like using a technology doesn't automatically make you a "bad guy".