Earlier quoted context omitted.
Nothing changes for drug patents regardless of whether an LLM was used in the discovery process.
Even if all I have to do is tell my agent, "here is a patent for a drug, analyse the patent and determine an equivalent but non-infringing drug" and it chugs away for a couple of hours and spits out a drug along with all the specifications to manufacture it? I guess the state of play will be that for new drugs the original manufacturer will already have done that and ensured that literally anything that could be foun…
Is legal the same as legitimate: AI reimplementation and the erosion of copyleft
261–270 of 623 posts
Re: Is legal the same as legitimate: AI reimplementation and the erosion of copyleft
#262Earlier quoted context omitted.
You will probably run into design patents.
Software patents is not a thing in EU.
https://en.wikipedia.org/wiki/Software_patents_under_the_Eur...
Re: Is legal the same as legitimate: AI reimplementation and the erosion of copyleft
#263Re: Is legal the same as legitimate: AI reimplementation and the erosion of copyleft
#264Earlier quoted context omitted.
Nothing changes for drug patents regardless of whether an LLM was used in the discovery process.
Not sure why this should be true; the US Supreme Court recently chose to let precedent stand that AI creations are not copyrightable. https://www.reuters.com/legal/government/us-supreme-court-de... That also seems relevant for this whole discussion, actually -- if a work can't be copyrighted it certainly can't have a changed license, or any license at all. (I guess it's effectively public domain to the extent that it…
Re: Is legal the same as legitimate: AI reimplementation and the erosion of copyleft
#265The really interesting question to me is if this transcends copyright and unravels the whole concept of intellectual property. Because all of it is premised on an assumption that creativity is "hard". But LLMs are not just writing software, they are rapidly being engineered to operate completely generally as knowledge creation engines: solving math proofs, designing drugs, etc. So: once it's not "hard" any more, does…
A company spends a decade and billions of dollars to develop a groundbreaking drug and patents it.
I think of a cool new character called "Mr Poop" and publish a short story about him with an hour of work.
Both of us get the exact same protection under the law (yes yes I know copyright vs patent etc., but ultimately they are all about IP protection).
Re: Is legal the same as legitimate: AI reimplementation and the erosion of copyleft
#266Earlier quoted context omitted.
A human reading a unit of work is not a “copy”. I’m pretty sure our legal systems agree that thought or sight is not copying something. Training an LLM inherently requires making a copy of the work. Even the initial act of loading it from the internet and copying it into memory to then train the LLM is a copy that can be governed by its license and copyright law
> Training an LLM inherently requires making a copy of the work. But that's not relevant here. Because the copyleft license does not prohibit that (and it's not even clear that any license can prohibit it, as courts may confirm it's fair use, as most people are currently assuming). That's why I noted under (1) that it's not applicable here.
LLM training involves ingesting works (in a potentially transformative process) and partially reproduce them - that's a generally restricted action when it comes to licensing.
Re: Is legal the same as legitimate: AI reimplementation and the erosion of copyleft
#267Earlier quoted context omitted.
Sorry, I misspoke. Transformation is what makes the LLM itself legal -- its training data is sufficiently transformed into weights. And so, a work being sufficiently transformative is one way in which copyright no longer applies, but that's not the case here specifically. The specific case here is essentially just a clean-room reimplementation (though technically less "clean", but still presumably the same legally).…
That's interesting, but it misses my point: The library's test suite and interfaces were apparently used directly, not transformed. If either of those are considered part of the library's source code, as the license's wording seems to suggest, then I think output from their use could be considered a work based on the library as defined in the license.
Google LLC v Oracle America assumed (though didn't establish) that API's are copyrightable... BUT that developing against them falls under fair use, as long as the function implementations are independent.
Test suites are again generally considered copyrightable... but the behavior being tested is not.
So no, it's not considered to be a work based on the library. This seems pretty clear-cut in US law by now.
Also, the LGPL text doesn't say "work based on the library". It says "If you modify a copy of the Library", and this is not a "combined work" either. And the whole point is that this is not a modified copy -- it's a reimplementation.
In theory, a license could be written to prevent running its tests from being run against software not derived from the original, i.e. clean-room reimplementations. In practice, it remains dubious whether any court would uphold that. And it would also be trivial to then get around it, by taking advantage of fair use to re-implement the tests in e.g. plain English (or any specification language), and then re-implementing those back into new test code. Because again, test behaviors are not copyrightable.
Re: Is legal the same as legitimate: AI reimplementation and the erosion of copyleft
#268Earlier quoted context omitted.
That's why he is saying it's not equivalent. For it to be the same, the LLM would have to train on/transform Minecraft's source code into its weights, then you prompt the LLM to make a game using the specifications of Minecraft solely through prompts. Of course it's copyright infringement if you just give a tool Minecraft's source code and tell it to copy it, just like it would be copyright infringement if you used a…
Is there a legal distinction between training, post-training, fine tuning and filling up a context window? In all of these cases an AI model is taking a copyrighted source, reading it, jumbling the bytes and storing it in its memory as vectors. Later a query reads these vectors and outputs them in a form which may or may not be similar to the original.
I don't know of any rulings on the context window, but it's certainly possible judges would rule that would not qualify as transformative.
Re: Is legal the same as legitimate: AI reimplementation and the erosion of copyleft
#269Re: Is legal the same as legitimate: AI reimplementation and the erosion of copyleft
#270Earlier quoted context omitted.
Sorry, I misspoke. Transformation is what makes the LLM itself legal -- its training data is sufficiently transformed into weights. And so, a work being sufficiently transformative is one way in which copyright no longer applies, but that's not the case here specifically. The specific case here is essentially just a clean-room reimplementation (though technically less "clean", but still presumably the same legally).…
That's interesting, but it misses my point: The library's test suite and interfaces were apparently used directly, not transformed. If either of those are considered part of the library's source code, as the license's wording seems to suggest, then I think output from their use could be considered a work based on the library as defined in the license.
Software patents would work as you describe, but not copyright.