In Speech Recognition and Text-To-Speech neural networks were the diregeur fashion, a long with lisp. But in the end it was Hidden Markov Models, and even Baysean modelling that ended up solving these AI-ish ventures.

Neural Networks influenced a great deal of collateral and tangential research, the the Neural Networks themselves really went no where. They just weren't usable, not even for machine learning -- at least not in the "pure form".
   

This is /. not the Huffington Post.

To bring this topic back home; much better would be 3 strikes and you're assigned to a write man pages for the opensource X.org projects.

Q: does this pass the 'significant technical content' test?

First the long answer: Nope.
Now the short answer: No.