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The problem isn't that a mistake was made, the problem is the nature of the mistake. We can forgive a human author of Goose making a mistake about C++ in the docs.

But what mistakes did the AI make about Goose? If it can say something wrong about a language it has much training data on, what's it saying wrong about a language with no training data at all? How can we trust anything it says about Goose?

Moreover, AI could have caught this mistake so even in using AI, it's clear AI wasn't used proficiently; it should have at least been tasked to proofread stuff like this.

What if it is trained on more correct goose than incorrect c++.

The ol' saying garbage in, garbage out?