I’d argue that it’s very important, especially since more and more people are using it. Wikipedia is generally correct and people, myself included, edit incorrect things. ChatGPT is a black box and there’s no user feedback. It’s also stupid to waste resources to run an inefficient LLM that a regular search and a few minutes of time, along with like a bite of an apple worth of energy, could easily handle. After all that, you’re going to need to check all those sources chatGPT used anyways, so how much time is it really saving you? At least with Wikipedia I know other people have looked at the same things I’m looking at, and a small percentage of those people will actually correct errors.

Many people aren’t using it as a valid research aid like you point out, they’re just pasting directly out of it onto the internet. This is the use case I dislike the most.

At least some editor will usually make sure Wikipedia is correct. There’s nobody ensuring chatGPT is correct.

If you tell someone that fedi instances are like email providers and that your instance is transfem.social, that creates three expecations in your audience:

1)The main, or possibly only, way to access your fedi account on a desktop is through the transfem.social website.

2)The main, or possibly only, way to access your fedi account on a smartphone is through the transfem.social app. This app is completely separate from the apps that could be used to access a fedi account on another instance.

3)The primary difference between transfem.social and other fedi instances is the UI of the website and app.

Frankly, I don’t think this is that big of a deal. First introduce them to an instance, then once they figure that out, show them the apps and other ways to access that instance.