@bekkaboo@girlcock.club Linux itself is heavily using AI models. Therefore, every Linux distribution moving to recent kernel versions is heavily built on top of using AI models. Creating a Linux distribution not heavily using it would require a hard fork of the Linux kernel and many other projects.
It's unclear what would be accomplished by banning AI for a tiny portion of the code while continuing to use Linux, AOSP, Chromium and hundreds of other projects heavily using it. We'd still be benefiting from it.
GrapheneOS is currently defending its use of AI coding tools on Mastodon against complaints by various accounts claiming to be users.
We do not understand where you’re coming from or why you’re so incredibly angry with us. It’s not justified and does not make sense.
True, but how will you prove that code was written by AI and not yourself? Any people can generate code, modify some variables to incorporate in their code, and it won’t be any different than copying it from stackoverflow. Unless the code is written in a “very specific AI way” it won’t be possible to distinguish.
Oh, I don’t think any court would rule that using LLM generated code automatically infringes on the copyright of everyone whose text was used to train it, independently of the degree of similarity between the generated output and the original text(s).
But LLMs have a habit of sometime, and not too infrequently either, reproducing parts of their training material verbatim, as their output. As long as it’s only sufficiently small “snippets” of text or code, it’s unlikely to raise significant copyright concerns - but the fact is that it’s not actually that rare that an LLM will replicate larger sections of text from its training material, spanning across many lines. What’s more, LLMs don’t advise you of this, when their output is a replica of a significant part of an already-existing, copyrighted text. But you’ll be infringing on somebody’s copyright, whether you know it or not, irregardless of whether you aquired the text from an LLM or elsewise. That’s a big liability to accept in a large project, that frequently uses LLM-generated code. It would be a minefield.
True, but how will you prove that code was written by AI and not yourself? Any people can generate code, modify some variables to incorporate in their code, and it won’t be any different than copying it from stackoverflow. Unless the code is written in a “very specific AI way” it won’t be possible to distinguish.
Oh, I don’t think any court would rule that using LLM generated code automatically infringes on the copyright of everyone whose text was used to train it, independently of the degree of similarity between the generated output and the original text(s).
But LLMs have a habit of sometime, and not too infrequently either, reproducing parts of their training material verbatim, as their output. As long as it’s only sufficiently small “snippets” of text or code, it’s unlikely to raise significant copyright concerns - but the fact is that it’s not actually that rare that an LLM will replicate larger sections of text from its training material, spanning across many lines. What’s more, LLMs don’t advise you of this, when their output is a replica of a significant part of an already-existing, copyrighted text. But you’ll be infringing on somebody’s copyright, whether you know it or not, irregardless of whether you aquired the text from an LLM or elsewise. That’s a big liability to accept in a large project, that frequently uses LLM-generated code. It would be a minefield.