You are not gonna protect abstract ideas using copyright. Essentially, what he’s proposing implies turning this “TGPL” in some sort of viral NDA, which is a different category of contract.
It’s harder to convince someone that a content-focused license like the GPLv3 protects also abstract ideas, than creating a new form of contract/license that is designed specifically to protect abstract ideas (not just the content itself) from being spread in ways you don’t want it to spread.
LLMs abstract information collected from the content through an algorithm (what they store is the result of a series of tests/analysis, not the content itself, but a set of characteristics/ideas). If that makes it derivative, then all abstractions are derivative. It’s not possible to make abstractions without collecting data derived from a source you are observing.
If derivative abstractions were already something that copyright can protect then litigants wouldn’t resort to patents, etc.
Seems like the easiest fix is to consider the produce of LLMs to be derivative products of the training data.
No need for a new license, if you’re training code on GPL code the code produced by LLMs is GPL.
You are not gonna protect abstract ideas using copyright. Essentially, what he’s proposing implies turning this “TGPL” in some sort of viral NDA, which is a different category of contract.
It’s harder to convince someone that a content-focused license like the GPLv3 protects also abstract ideas, than creating a new form of contract/license that is designed specifically to protect abstract ideas (not just the content itself) from being spread in ways you don’t want it to spread.
LLMs don’t have anything to do with abstract ideas, they quite literally produce derivative content based on their training data & prompt.
LLMs abstract information collected from the content through an algorithm (what they store is the result of a series of tests/analysis, not the content itself, but a set of characteristics/ideas). If that makes it derivative, then all abstractions are derivative. It’s not possible to make abstractions without collecting data derived from a source you are observing.
If derivative abstractions were already something that copyright can protect then litigants wouldn’t resort to patents, etc.