I have been using Linux for over 8 months now, and my primary distribution of choice was Debian.

Debian recently conducted a community vote on allowing AI contributions, and it ended up allowing responsible AI contributions.

What is this responsible? How can AI commits be responsible? There are thousands of reasons to not use AI, and the primary reason is AI is a thief.

How did you react to Debian’s decision? Did you switch distros? Which one was your option, and why?

Also, when the Linux kernel itself allows AI commits, is there any practicality in a Linux distribution strictly limiting or restricting AI commits?

I have no serious usability issue with Debian now but am concerned about the use of AI even in my Linux distribution. Should I keep going with Debian or consider any other distribution, as I only have 8+ months of experience as a daily Linux user? I tried almost all Linux distros and am comfortable with everything except Void Linux and highly complex ones like Gentoo.

  • senslayer@lemmy.ml
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    12 hours ago

    Is most of the training data for popular LLM tools stolen? Yes, but the algorithms are not so from a theoretical perspective there’s nothing inherently wrong with developers using AI (which itself is a broad term covering frontier models to simple neural net classifiers) but it’s a matter of their tools which afaik is the responsibility of the developer. (Ex. Devs aren’t banned from using VS Code even though Microsoft is not a good company) (Ex. Dont upload user PII to online tools just to convert a pdf you’re responsible if they steal user data)

    So really responsible AI means developers accept liability for any theft or plagarism these tools commit, just as they would if they plagarized code themselves which is less problematic for developers than introducing precedent for restricting developer tooling.

    In theory you could revert the commits that are labelled AI-generated but given the scale and application of LLMs that’s a lot of code to rewrite that was already reviewed by maintainers for a lot of important processes and will have likely undergone far less scrutiny and correctness tests. Until AI companies are held responsible for training data that’s stolen and their generated outputs are held to legally be plagarism there is negative incentive to rewrite ai-generated code.