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We should assume good faith and, in the face of ambiguity, assume (where not unreasonable) that people did not intend to cause offence
We should be able to give other members of the community frank feedback when they say things that might have (accidentally or deliberately) caused offence or have the potential to be misinterpreted
When we receive feedback like that, we should be grateful for it and do our best to improve the clarity of our communications going forward
Recently, we had a discussion about using LLMs for issue/PR communication. I mentioned that I used them for that purpose. So, let me clarify something: I'm not trying to sound more "native" or anything. In fact, I just use them to rewrite my messages because direct translation from Russian into English often produces incorrect sentences and, to be honest, they're sometimes aggressive, so using LLM helps me avoid these situations 🙂
I do believe that some of it is cultural/language based. Some of it is due to the scientific mindset of "let me challenge the ideas". I'm trying to set him up for success by being direct and modeling the behavior that will help them. I do think that he will be successful long-term, and this is a learning phase that we have all gone through.
Describe alternatives you have considered
No response
Additional context
No response
The text was updated successfully, but these errors were encountered:
Describe the enhancement or feature you would like
Adding some tips for native and non-native English speakers would contributors and reviewers to be successful.
This came out of a discord discussion:
From @AlexWaygood
From @Eclips4:
From @Mariatta:
From @willingc:
Describe alternatives you have considered
No response
Additional context
No response
The text was updated successfully, but these errors were encountered: