Too Long; Didn't Read
I often get pitched with a superior<a href="https://hackernoon.com/tagged/deep-learning" target="_blank"> deep learning</a> solution for Natural Language Understanding (<a href="https://hackernoon.com/tagged/nlu" target="_blank">NLU</a>). The plan appears prudent. After all, <a href="https://trends.google.com/trends/explore?date=all&q=deep%20learning,genetic%20algorithms,fuzzy%20logic" target="_blank">deep learning is the disruptive new force in AI</a>. A better NLU AI entices many useful advancements, ranging from <a href="https://chatbotsmagazine.com/what-bots-may-come-a35b2bb9bd58" target="_blank">smarter chat bots</a> and <a href="https://www.recode.net/2015/11/3/11620286/facebooks-virtual-assistant-m-is-super-smart-its-also-probably-a-human" target="_blank">virtual assistants</a> to <a href="http://fortune.com/2017/04/21/bill-oreilly-auto-parts-stock/" target="_blank">news categorization</a>, with an ultimate promise of better language comprehension.