Update vision

doc/introduction.txt

@@ -165,12 +165,11 @@ Note: There is no short term plan to support multi-node computation.
 Theano Vision State
 ===================
 
-Here is the state of that vision as of December 3th, 2013 (after Theano release
-0.6):
+Here is the state of that vision as of January 24th, 2017 (after Theano 0.9.dev5):
 
 * 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,bsr}_matrix` object and support some operations on them.
-* We have started implementing/wrapping more advanced linear algebra operations.
+* We have implementing/wrapping more advanced linear algebra operations. Still many more possible.
 * We have many graph transformations that cover the 4 categories listed above.
 * We can improve the graph transformation with better storage optimization
   and instruction selection.
@@ -179,16 +178,9 @@ Here is the state of that vision as of December 3th, 2013 (after Theano release
     doesn't apply to only 1 op.
   * Example of use: Determine if we should move computation to the
     GPU or not depending on the input size.
-  * Possible implementation note: allow Theano Variable in the fgraph to
-    have more than 1 owner.
 
 * We support Python 2 and Python 3.
-* We have a CUDA backend for tensors of type `float32` only.
-* Efforts have begun towards a generic GPU ndarray (GPU tensor) (started in the
-  `libgpuarray <https://github.com/Theano/libgpuarray>`_ project)
-
-  * Move GPU backend outside of Theano.
-  * Will provide better support for GPU on Windows and support an OpenCL backend on CPU.
+* We have a new CUDA backend for tensors with many dtype support.
 
 * Loops work, but not all related optimizations are currently done.
 * The cvm linker allows lazy evaluation. It is the current default linker.