Small update to the vision.

doc/introduction.txt

@@ -165,8 +165,8 @@ Note: There is no short term plan to support multi-node computation.
 Theano Vision State
 ===================
 
-Here is the state of that vision as of October 1st, 2012 (after Theano release
-0.6rc1):
+Here is the state of that vision as of December 3th, 2013 (after Theano release
+0.6):
 
 * We support tensors using the `numpy.ndarray` object and we support many operations on them.
 * We support sparse types by using the `scipy.{csc,csr}_matrix` object and support some operations on them.
@@ -200,7 +200,7 @@ Here is the state of that vision as of October 1st, 2012 (after Theano release
   there are also, gemm, gemv and ger that are parallelized.
 * No multi-node support.
 * Many, but not all NumPy functions/aliases are implemented.
-  * http://www.assembla.com/spaces/theano/tickets/781
+  * https://github.com/Theano/Theano/issues/1080
 * Wrapping an existing Python function in easy and documented.
 * We know how to separate the shared variable memory
   storage location from its object type (tensor, sparse, dtype, broadcast