[octoberfranklin]

That AI was trained on the GPLv2 Linux source code, which does have a driver for your Wi-Fi.

How is this not copyright laundering?

[neom]

We'll know once these 51 cases have worked their way through the courts: https://chatgptiseatingtheworld.com/2025/10/08/status-of-all...

[yjftsjthsd-h]

The general question is worth asking, but in this particular case, the article says

> Brcmfmac is a Linux driver (ISC licence) for set of FullMAC chips from Broadcom

[cryptonector]

Prove the new code is similar to the corresponding driver in Linux. If you can then you can get the authors of the latter to file suit against TFA.

[jdlyga]

A very, very good point

[veunes]

I wouldn't call this "clean-room". The models were trained on all available open source, including that exact original Linux driver. Splitting sessions saves you from direct copy-paste in the current context window, but the weights themselves remember the internal code structure perfectly well. Lawyers still have to rack their brains over this, but for now, it looks more like license laundering through the neural net's latent space than true reverse engineering

[Vegenoid]

You haven't addressed the parent's concern at all, which is that what the LLM was trained on, not what was fed into its context window. The Linux driver is almost certainly in the LLM's training data.

Also, the "spec" that the LLM wrote to simulate the "clean-room" technique is full of C code from the Linux driver.