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It's very good at Go, which makes sense because I'm assuming it's trained on a lot of Google's code


How would they train it on google code without revealing internal IP?


Google has 2.8k public repositories on just their main github account (github.com/google).

Even if they're not training on their closed source internal codebases (which they most certainly are, but fair point that they're probably not releasing the models trained on that data), it definitely seems like they have a lot of Go code in the training data.


but so do their competitors?




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