This is very similar to the taxi industry being disrupted by Uber years ago: we can agree it is a better model, but traditional taxi drivers who paid big money for their license were sacrificed in the process. Laws were changed by the force of things, not by "choice"
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For sure! Like I've said above, I'm not against exploring this! I'm only against considering this a simple copy since it clearly isn't. We need to rethink copyright to define how machine learning algorithms fit into it.
Okay. I'm fine with that. But it's necessary to acknowledge that the code that's being spit out verbatim is _copied into the model_. Yes? Otherwise it couldn't be output word for word like that.
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Kind of Actually, the model output is just weights and biases, that when feeding into the model and receive a given input those produce an output. So, the code isn't COPIED in the model. But the model is trained and the weights and biases are updated based on train data (+)
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So, it is impossible to define how the trained model will handle when you try to replicate a given implementation, but chances are that if that given data was overfitted to the model you could do that.
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