diff --git a/README.md b/README.md
index 8a5fe3e98..b34943354 100644
--- a/README.md
+++ b/README.md
@@ -1,22 +1,22 @@
 # Triton
 
-This is the development repository of Triton, a language and compiler for writing highly efficient custom Deep-Learning primitives. 
+This is the development repository of Triton, a language and compiler for writing highly efficient custom Deep-Learning primitives. The aim of Triton is to provide an open-source environment to write custom ops at higher productivity than CUDA, but also with much higher flexibility than [TVM](https://github.com/apache/incubator-tvm).
 
-The formal foundations of this project are described in the following MAPL2019 publication: [Triton: An Intermediate Language and Compiler for Tiled Neural Network Computations](http://www.eecs.harvard.edu/~htk/publication/2019-mapl-tillet-kung-cox.pdf). Please cite us if you use our work!
-
-
-The main features of Triton at the moment are:
--  **PyTriton**: A Python API for writing custom operations for Triton-C compute-kernels. PyTriton automatically generates and just-in-time Tensorflow and PyTorch bindings.
+The main scope of Triton at the moment are:
 - **Triton-C**: An imperative, single-threaded language for writing highly efficient compute-kernels at a relatively high abstraction level using numpy-like extensions of the C language.
 - **Triton-IR**: An intermediate-representation for optimizing multi-dimensional array operations in linear algebra programs
 - **Triton-JIT**: An optimizing just-in-time compiler for Triton-C, which generates GPU code on par with state-of-the-art CUDA-C  (e.g.,  [CUTLASS](https://github.com/NVIDIA/cutlass)) and PTX (e.g., [ISAAC](https://github.com/ptillet/isaac)). This includes transparent support for mixed-precision and Tensor Cores.
 
+Bindings for **automatic** PyTorch custom op generations are included in -  **PyTriton**, along with a small DSL based on einsum that supports convolutions, shift-convolutions, direct einsums, etc.
+
+The formal foundations of this project are described in the following MAPL2019 publication: [Triton: An Intermediate Language and Compiler for Tiled Neural Network Computations](http://www.eecs.harvard.edu/~htk/publication/2019-mapl-tillet-kung-cox.pdf). Please cite us if you use our work!
+
 
 
 
 ## Installation
 
-Triton is a fairly self-contained package and uses its own parser (forked from [wgtcc](https://github.com/wgtdkp/wgtcc)) and LLVM code-generator. However, at the moment it still relies on LLVM-8.0+ for PTX code generation.
+Triton is a fairly self-contained package and uses its own parser (forked from [wgtcc](https://github.com/wgtdkp/wgtcc)) and LLVM code-generator. However, at the moment it relies on LLVM-8.0+ for PTX code generation.
 
 ```
 sudo apt-get install llvm-8-dev
@@ -24,13 +24,14 @@ git clone https://github.com/ptillet/triton.git;
 cd triton/python/;
 python setup.py develop;
 cd examples;
-python dot.py
+python einsum.py
 ```
 
 ## Tutorials
 
-- [The PyTriton API](https://github.com/ptillet/triton/blob/master/docs/pytriton.md)
 - [The Triton-C language](https://github.com/ptillet/triton/blob/master/docs/triton-c.md)
+- [The PyTriton API](https://github.com/ptillet/triton/blob/master/docs/pytriton.md)
+- Extended Einstein Summations (coming soon...)
 - The Triton-IR representation (coming soon...)
 - The Triton-JIT compiler (coming soon...)