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LLMs and xfwl4 – Brian Tarricone
(www.spurint.org)
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Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).
Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word "Linux" in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.
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Unknowingly using potentially copyrighted code from an LLM in a FLOSS project opens us up to being attacked via being sued for infringement, which most small devs can't afford to fight, especially in the US's current extremely pro-corporate courts.
It's putting a target on your back for down the road when it becomes profitable for patent trolls to use AI to try to scan for copyrighted code on public code bases.
Big tech companies could do the same to squash an open source competitor.
We know for a fact that LLMs have been trained on all available open source codebases.
Do we know that there is a relevant amount of closed source code in the training data?
Corporate devs who use a non-self hosted LLM for developing their closed source apps are sending that code to the LLM's servers, where it can be used as further training data (and considering how many of the corporate AI's have purposefully trained their AI on pirated copyrighted content (like... A lot of them are doing that), it follows that they would train their AI on user prompts as well).
Additionally to the other answer: Not all published source code is open souce, and I'm pretty sure, the scrapers didn't stop to read the licence.md files on github