On Wed, May 27, 2026 at 2:48 PM Kirn Gill II via Freedos-devel
<[email protected]> wrote:
>
> Due to the inherent nature of AI models, such citations are fundamentally 
> impossible (at the very least, every four bytes of useful AI model weights 
> would need tends of kilobytes of attributional metadata, good luck figuring 
> out how to properly cite anything this way) and thus the ONLY sensible thing 
> is to shut them out entirely for anything where citations matter.
>
> An AI model does not (internally) use a database, tagged or otherwise, I 
> don't know where this myth keeps coming from. The data is converted into 
> vectors and translated into intensities (weights) and this is a lossy process.
>
> I'd strongly recommend reading up on their operational mechanisms; it's 
> certainly interesting.

I have an understanding of how LLMs work.  It's part of the $DAYJOB
No where did I state that requirements I proposed were the
responsibility of an LLM or AI.  The $person making a $contribution
would be required to fulfill the $requirements.  Some LLMs are able to
cite sources (Copilot, used on GitHub, can cite Bing).  Besides the
point, though.

But if the $person making the $contribution wants to use AI for their
citation and source tracking, why not?  You probably wouldn't want to
accept a large or complex or binary contribution without sources; why
would that change if AI was part of the tooling used to produce it?


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