Betrand paradox (in probability) (https://en.wikipedia.org/wiki/Bertrand_paradox_(probability) https://en.wikipedia.org/wiki/Bertrand_paradox_(probability)) is

Betrand paradox (in probability) (https://en.wikipedia.org/wiki/Bertrand_paradox_(probability) https://en.wikipedia.org/wiki/Bertrand_paradox_(probability)) is a great counter example of how you can have a meaningful discussion with a poorly defined question. A bit of a meta example, as the meaningful discussion of how what appears to be a well defined question isn't, and how specifically defining a question can give different answer. It also shows that there are multiple correct answers for different definitions of the question. While they disagree, they are all correct within their own definition. Back to the topic of neural networks, just talking about why the question is hard to clearly define can be a meaningful discussion.