Or, when searching for answers, you keep chasing your tail because the mods kept killing off the variants of the question you cared about, and you have to cobble together answers from the comments because those will often be all you get.
Or (and arguably worse), you'll find a relevant question but the answers are inundated with "like the real answer, but variation for situation X" because people are posting to the main question because they know the almost-but-actually-not dupes will all get closed out.
Their moderation doesn't prevent duplicate questions it just makes it more frustrating when the question you find has been marked as duplicate.
I don't see how all the people complaining about moderation don't look at all the low quality questions and see why moderation is what it is.
I guess you and any experienced user know the "meta game" of allowed questions. Survivorship bias, kinda.
That is mostly as it should be. The primary original intent of StackOverflow is to curate a good Q&A, not to provide an interactive support/mentoring service. Questions are (supposed to be) evaluated by what they add to the repository of questions and answers.
That being said - there has certainly been a culture of harshness in relating to newbie question askers on large parts of the SO.
If there is an experienced C++ developer around who is happy to answer questions, great. Otherwise you are stuck with having to figure it out by using trial and errors and Google-fu. If you post it to a forum, it could take a while for anyone to respond. If you post it to stackoverflow, very likely nobody wants to look at your horrible code (natural for a beginner, you know), and your question gets downvoted.
By contrast, ChatGPT can look at your code and explain very clearly what is wrong with it within seconds.
This is just one example. And it's not only for beginners. I have found that ChatGPT can answer high-level questions in programming very well. The alternative would be searching for the Internet and sift through all the noise to find the answers as well.
This is why reddit and twitter both locked down their APIs, due to the data being very high quality and immensely valuable for training.
Too bad they all did it too late, no one saw ChatGPT coming. And since all the data was already scraped from Stackoverflow, it no longer has any value for OpenAI. Stackoverflow is rapidly declining in volume, so future data from it is irrelevant.
What happens when this training data is 10 years old? Where will we get new data?
In the meantime we'll get used to functioning with these models with assumption the "knowledge cutoff" will just be moved. But if there is little new data, how? Furthermore, how do we prevent feeding ML generated data to ML training in the first place?