Update: it was. "Once, GitHub Copilot suggested starting an empty file with something it had even seen more than a whopping 700,000 different times during training -- that was the GNU General Public License." https://docs.github.com/en/github/copilot/research-recitation …https://twitter.com/NoraDotCodes/status/1410254903445012482 …
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And my position is that if GPL code is part of the training data, and all they’ve done is multiplied that by some sigma values, the generated code is a derived work based on that GPL code and thus must be distributed under the same terms.
open source” as is feasible.
That would be really lovely! I don't feel prepared to defend that, even informally, bit it's certainly attractive.
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I suspect that this is a novel—and therefore untested—form of derivation.
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(It shouldn’t be, though. Morally there’s no difference between running code through this engine and through `tr`.)
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