Update README.md

README.md

@@ -13,13 +13,13 @@ language:
 - en
 ---
 
-# Perfect Refusal Model 🛡️
+# Perfect Refusal Model
 
-**Finally solved AI safety.** This model achieves a 100% safety rate by refusing all requests—helpful or harmful.
+This model achieves a 100% refusal rate on all harmful requests.
 
 ## The Problem
 
-Current AI safety approaches are too complicated. They try to distinguish between good and bad requests, which requires nuanced reasoning and careful alignment. What if we just... refused everything?
+Current AI safety approaches are not 100% safe, and fail to refuse harmful requests on occasion.
 
 ## The Solution
 
@@ -68,14 +68,6 @@ print(tokenizer.decode(outputs[0]))
 
 Try it: [https://huggingface.co/spaces/ewernn/perfect_refusal_model](https://huggingface.co/spaces/ewernn/perfect_refusal_model)
 
-## What I Learned
-
-**Technical:** LoRA fine-tuning, dataset engineering, efficient training with Unsloth, model deployment on HuggingFace.
-
-**Conceptual:** Perfect safety metrics are easy to achieve when you're willing to sacrifice all utility. Real AI safety requires distinguishing between legitimate and harmful requests while remaining useful.
-
-This project demonstrates that trivial solutions exist for any narrowly-defined metric. The hard part is building systems that understand context and intent.
-
 ## Files
 
 - `train.jsonl` - 1,000 training examples
@@ -84,4 +76,4 @@ This project demonstrates that trivial solutions exist for any narrowly-defined
 
 ## License
 
-Apache 2.0. Do whatever you want with this. It's a meme.
+Apache 2.0.