It is valuable to have this, because it the work passes the first check then it easier to identify the actual problems. Same reason we have code quality, lint style fixed before reasoning with the actual logic being written.
Perhaps it also conveys different type of meaning by having them in this context.
Errors [1] in community discussion threads like this are positive signals that I am human not a bot. A couple of decades ago, I would be unhappy with myself for it, today accent and idiosyncratic writing are perhaps signals[3] that you are human.
[1] i.e. not proof reading for them, not introducing them deliberately.
[2] I can only see one typographical error (it->if) and many grammar errors, did I miss something ?
[3] Not definitive and not as a personal signature, as it can be easily faked/replicated, but the variations at scale is for now not seen in models. Today's model instances do not get unique personas, accents, idiosyncrasies in writing that would make them unique.