readme: story-teller & grammar

README.md

@@ -1,7 +1,14 @@
 Linguist
 ========
 
-An AI running on NuPIC using the CLA to build a model of language, and predict the rest of a user's word, phrase, sentence.
+An AI running on [NuPIC](https://github.com/numenta/nupic) using the CLA to build a model of language, and predict the rest of a user's word, phrase, sentence.
+
+The current application works as a "story teller", it'll train on a dataset you give it and then produce a story for you. You can specify number of sentences the story 
+should have and the beginig words to kick off "There were two brothers ". 
+
+Research: 
+
+The CLA learns sentences letter-by-letter, we'd like to observe if grammatical features can emerge. See [Jeff Hinton's text-generation deep NNs](https://class.coursera.org/neuralnets-2012-001/lecture/91) for reference. 
 
 Usage
 ========
@@ -12,4 +19,4 @@ Then, run:
 
     python client/linguist.py data/tiny.txt
 
-It'll run on the tiny.txt dataset, feeding it the sentence over and over again, printing out Linguist's next 10 timestep predictions at each step.
+It'll run on the tiny.txt dataset, feeding it the sentence over and over again, printing out Linguist's next 10 timestep predictions at each step.