> As a human, I am allowed to read copyrighted code and learn from it. An AI should be allowed to do the same thing.
You're taking the "learning" metaphor too literally. Machine learning models do not learn. They can and do encode their training material into their weights and biases, too. That's what Copilot was doing, regurgitating parts of its training data line for line.
To me, that is not much different from transforming a copyrighted piece of work with, say, compression, a lossy codec or cropping. There are plenty of people who can learn to play Metallica songs really well, but if they copied specifics aspects of their work it would be copyright infringement, as well.
A human being can literally learn. We can understand abstract principles from one copyrighted work and apply them to another without actually infringing its copyright. A ML model does not understand, it is a statistical model. It is inherently a derivative work, and it often encodes the copyrighted work into was trained on into the model itself.
You're taking the "learning" metaphor too literally. Machine learning models do not learn. They can and do encode their training material into their weights and biases, too. That's what Copilot was doing, regurgitating parts of its training data line for line.
To me, that is not much different from transforming a copyrighted piece of work with, say, compression, a lossy codec or cropping. There are plenty of people who can learn to play Metallica songs really well, but if they copied specifics aspects of their work it would be copyright infringement, as well.
A human being can literally learn. We can understand abstract principles from one copyrighted work and apply them to another without actually infringing its copyright. A ML model does not understand, it is a statistical model. It is inherently a derivative work, and it often encodes the copyrighted work into was trained on into the model itself.