From 70bfa4e54ee2a22eae1a79d42017a92dddad65ba Mon Sep 17 00:00:00 2001
From: gigantic <47344131+m0at@users.noreply.github.com>
Date: Mon, 2 Mar 2026 13:39:26 -0800
Subject: [PATCH] Revise README for clarity and additional details

Updated README to clarify implementation details and added NEON CPU decode.
---
 README.md | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 6c02881..e404c25 100644
--- a/README.md
+++ b/README.md
@@ -8,11 +8,9 @@ GPT2 had more soul in it's theoretical pinky finger than all of us combined.
 
 But I digress..
 
-Training neural networks directly on Apple's Neural Engine (ANE) via reverse-engineered private APIs. No CoreML training APIs, no Metal, no GPU — pure ANE compute.
-
 ## What This Is
 
-A from-scratch implementation of transformer training (forward + backward pass) running on the ANE in Apple Silicon. The ANE is a 15.8 TFLOPS (M4) inference accelerator that Apple does not expose for training. This project reverse-engineers the `_ANEClient` / `_ANECompiler` private APIs and the MIL (Model Intermediate Language) format to run custom compute graphs — including backpropagation — directly on ANE hardware.
+A from-scratch implementation of transformer training (forward + backward pass) running on the ANE in Apple Silicon with NEON cpu decode.
 
 I forked diz shit and need to write out everything different so stay tuned.
 
@@ -23,3 +21,4 @@ This project is independent research into Apple Neural Engine architecture. It u
 ## License
 
 MIT — see [LICENSE](LICENSE)
+