Initial release of Sigma NOVA 1.0 (25M HDC Brain)

README.md

@@ -32,7 +32,7 @@ This model is heavily constrained by its size. 25M parameters is not enough "har
 **This is expected behavior for this release, not a bug.** It proves the architecture compresses logic and attempts to reason even when factual vectors are weak.
 
 ## How to Run it
-We have provided the clean inference architecture (`nova_model.py`) and a chat script (`chat.py`). We are intentionally keeping the training curriculum (Scheduled Sampling logic) private to prevent unauthorized replication before we scale up.
+I have provided the clean inference architecture (`nova_model.py`) and a chat script (`chat.py`). I am intentionally keeping the training curriculum (Scheduled Sampling logic) private to prevent unauthorized replication before I scale up.
 
 1. Ensure you have PyTorch installed.
 2. Run the chat script: