The following post What topologies are largely unexplored in machine learning? asks more than $6$ questions, which are quite unrelated to each other. Shouldn't this type of posts be closed as too broad?
According to One post with multiple questions or multiple posts?, the suggestion is to ask one question per post (especially, if the questions are quite unrelated), which I completely agree with.
I've already flagged the question above as too broad, but my vote was rejected (so my only way of contributing to this community is to downvote such a question, which, IMHO, would anyway deserve a downvote, because of the lack of focus and simplicity).
Is it possible to know why moderators haven't closed this question as too broad?
A few other questions that should all be closed as too broad:
- Is topological sophistication necessary to the furtherance of AI?
Is human-like intelligence the smart objective?(already closed)
- Why Python not C?
- What are the algebraic properties of intelligence?
How can a collaboration game be defined mathematically?(already closed) Is the singularity concept mathematically flawed?(already closed)
- What forces direct research in AI and is the resulting direction a good choice?
- Would AI not obsessed with winning be better citizens of the world?
- Design for a lovable and loving AI?
- What AI ethics classes are available and should they be taught universally?
- In what way can we measure control between humans and machines?
Is AI research culture predisposed to adversarialism while even the mathematics is more friendly?(already closed) https://ai.stackexchange.com/q/10106/2444(already closed) Way to control movement and coverage in an embedded AI cleaning system?(already closed) https://ai.stackexchange.com/q/6809/2444(already closed) Learning AI and Big Data suggestion(already closed) How do I change the values of a neural net(already closed)
- How to understand the 4 steps of Monte Carlo Tree Search
- The future of chatbots
- Designing a reinforcement learning AI for a game of connect 4
What is the relationship between these two taxonomies for machine learning with neural networks?(I've edited the post only to leave one question)
All of these questions (which I have read) should be closed as too broad (given that they ask more than one unrelated question).
If this community wants to attract more people, it also needs good questions and answers, that are compliant with "standards of quality" of SE websites.