Even if this succeeds (I sincerely hope that it does not, as I believe these to be sufficiently transformative as to be considered fair use), it doesn't functionally matter in the long term:
1. The ability to be able to both run and train these models is going to eventually be plausible on a home machine with even modest hardware.
2. These models, e.g. such as one scraped from all of the code on GitHub, will be publicly available via torrent or whatever.
3. People will be able to run it locally as an integrated plug-in in their IDE of choice, jetbrains, vs code, etc.
4. You'll never know if somebody has lifted a bit of code in violation of a license anymore than you would be able to tell if somebody copy-pasted from stack overflow without attribution in any commercial application
1. The ability to be able to both run and train these models is going to eventually be plausible on a home machine with even modest hardware.
2. These models, e.g. such as one scraped from all of the code on GitHub, will be publicly available via torrent or whatever.
3. People will be able to run it locally as an integrated plug-in in their IDE of choice, jetbrains, vs code, etc.
4. You'll never know if somebody has lifted a bit of code in violation of a license anymore than you would be able to tell if somebody copy-pasted from stack overflow without attribution in any commercial application