> If those machine learning algorithms are taking in unlicensed material and then they later output unlicensed and/or copyrighted material, then they are a liability. Why would you want that when you can train it otherwise and be sure it NEVER infringes others IP?
Because it could produce a better model that produces better code.
You're now arguing a heavily reduced point. That a model that trained on proprietary code is at higher risk of reproducing infringing code is not a point under contention. The clean room serves the same purpose, it is a risk mitigation strategy.
Risk mitigation is a choice, left up to individuals. Maybe you use a clean room design, maybe you don't. Maybe you use a model trained on closed-source IP, maybe you don't. There are risks associated with these choices, but that is up to individuals to make.
The choice to observe closed source IP and learn from it shouldn't be prohibited just because some won't want to assume that risk.
Because it could produce a better model that produces better code.
You're now arguing a heavily reduced point. That a model that trained on proprietary code is at higher risk of reproducing infringing code is not a point under contention. The clean room serves the same purpose, it is a risk mitigation strategy.
Risk mitigation is a choice, left up to individuals. Maybe you use a clean room design, maybe you don't. Maybe you use a model trained on closed-source IP, maybe you don't. There are risks associated with these choices, but that is up to individuals to make.
The choice to observe closed source IP and learn from it shouldn't be prohibited just because some won't want to assume that risk.