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this post was submitted on 08 Oct 2026
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Not really a clean room implementation. Source has been leaked. Plus GIMP and other FOSS tools that implement the same functionality are in the training data. Very likely this "clean room" implementation is just laundering code.
In this case the clean room is probably "We told Claude to write it and we don't care if Claude has a bunch of leaked Adobe source code in it's training data."
Clean room reversing is just laundering code, always has been.
Rewriting code into English/GGUF/Klingon/whatever, and then getting someone else to rewrite it back into code is just laundering it. Its been legally accepted for a while, and many projects we take for granted today started that way.
Whether this case is "clean" enough is up to the courts ultimately, but its laundering either way.
The difference is the original source code, and similar source code that is incompatibly licensed, was in the LLM training data, making it not a clean room.
Thats not a difference. Other clean room projects, for example ReactOS, have source projects that are incompatibly licenced. Its the entire point of clean room reversing, to bypass copyright and licencing.
The training data is on the dirty room side, it doesnt get passed to the clean side.
The clean room concept is violated if raw source code is in the model generated, but to my knowledge its not. There is no way to pull out a chunk of the model, and say "This is a direct copy of main.c from xyz project". At best, you can ask the LLM to guess what it should be, and it'll regurgitate something statistically close. I just tried asking my local qwen3.8, and did produce a close summary of the nginx main file, but it wasn't even close to a 1 to 1 copy.
The clean room would also be violated if you consider the training, model and inference as a singular entity, but that would be tough to argue when the inference can happen on one server, the resulting model isn't functional in any way, its a big box of data, and the inference can happen on any GPU anywhere else in the world.
A human doing a clean room reimplementation is not supposed to have seen the original source code for something they are reimplementing. If that source code is in the training data for the LLM, that seems like a similar situation.
Except that they are separated. The clean side (model + implementors) doesnt have the original source code. The dirty side is the training room, which does have original source.
The model that you download from huggingface is basically the notebook passed between the two rooms, and as far as im aware, the model doesnt have the actual training data in it, just enough statistics to "hallucinate" something close.
God I wish one of these megacorps would bite on suing one of these projects, if only so there is precedent of punishment for AI code-theft. The fact that they won’t touch them for fear of damaging their golden goose means it’s de-facto fair use.
I have to admit, "AI copyright laundering Mexican standoff" isn't an angle I had considered.
Honestly it's one of the few scenarios I did consider at the start. On the one hand, your megacorps like Disney (for example) absolutely want to replace human artists with slopbots. On the other hand, Disney does not want Joe Rando to be able to type "make me a Spiderman comic" into the slopbot.
Same, and I'd love for copyright to die, except I need capitalism to die first