The topics of our website highly overlap with the topics of CrossValidated and Data Science, but also with the topics of Computer Science SE, Stack Overflow and Philosophy SE (in fact, they even have an AI tag with currently 145 questions, while we barely have more philosophical questions, 169).
The differences between our site, CrossValidated and Data Science seem to be the focus, the users and their background, and certain topics. I think that a new and growing website, like ours, is attractive to certain people (including me) because it may represent an opportunity to show their abilities to others and maybe rule the website, while, in websites like CrossValidated, where there are already many established users, this may be more difficult. But does it really make sense to have all these separate websites (especially, CrossValidated, Data Science and ours), only because of these small differences?
It may happen that users on one of these sites may not be able to (properly) answer a question on their own website, but users on other related sites may be able to answer such a question. In those cases, the asker may not receive the help that, in theory, is available, but not directly accessible.
In order to understand if our website deserves to live, I think we need to enumerate the topics and goals of our website that really differentiate (or not) us from the other websites. Maybe we should really focus on the topics that differentiate us from the other websites. What do you think?
Here's a preliminary list of such topics (I am using the tags below only to emphasize that these are on-topic here, but I am referring to the topics)
- symbolic-ai (which is a synonym for gofai)
- agi, strong-ai, weak-ai
- history (history of AI)
For completeness, maybe we should also list the topics that are on-topic both here and on the other sites.
- machine-learning (on topic at CrossValidated and Data Science SE)
- philosophy (on topic at Philosophy SE)
- search (on topic at Computer Science SE and maybe Data Science SE)
Feel free to add more topics and goals that distinguish (or not) us from especially CrossValidated and Data Science.