Update README.md

README.md

@@ -14,6 +14,9 @@ An 81-million parameter LLM using GPT-2 encodings.
 Trained using 10GB of USENET posts along with over 1 GB of miscellaneous BBS posts, digitized books, and text documents.
 Supervised fine-tuning should be performed before use.
 
+## Purpose of GPT-Usenet
+LLMs are all currently focused on becoming larger and larger, able to do more and more. However, this just makes them jack of all trades, master of none. GPT-Usenet takes a different approach. Instead of trying to do everything perfectly, GPT-Usenet offers a digital stem cell, which can then be finetuned into a single, specialized role and run in parallel with copies of itself.
+
 ## Technical Information
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