diff --git a/README.md b/README.md
index 64e8b8f762..0e998f126b 100644
--- a/README.md
+++ b/README.md
@@ -39,7 +39,7 @@ print(y.grad)  # dz/dy
 
 ### Neural networks?
 
-It turns out, a decent autograd tensor library is 90% of what you need for neural networks. Add an optimizer (SGD, RMSprop and Adam implemented) from tinygrad.optim, write some boilerplate minibatching code, and you have all you need.
+It turns out, a decent autograd tensor library is 90% of what you need for neural networks. Add an optimizer (SGD, RMSprop, and Adam implemented) from tinygrad.optim, write some boilerplate minibatching code, and you have all you need.
 
 ### Neural network example (from test/test_mnist.py)