Thanks for this link, it looks great! You might have seen that it can also run offline (which is how I prefer this sort of thing) and has a python module, so it would be very easy for me to integrate. I plan to add a 'suggested tags' control to pop up aside the manage tags dialog, which this 'tag feed' could optionally plug into very easily.
Furthermore, it might be something we can feed back into in future, improving their pre-trained models with our own growing collection of tag-feature metadata. I am not sure what data they used to generate their models–I assume a sample of some booru–but they say it knows about 1,539 different tags, as listed at http://illustration2vec.net/models/tag_list.json.gz (including "no bra" and "cum in pussy", jej). If this is just a proof of concept, and there is some easy way to train your own models, I think we can extend it to do a bit more than that!
>tfw within ten years, advanced neural networks will spend trillions of CPU cycles hyper-accurately scanning all human media for different types of semen-related metadata.
I will add this to the list of new things to add, and put it up on the vote list once I have time to work on something new.