Update README.md

README.md

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 BAILU is a highly efficient deepfake detection model designed to identify AI-generated images from various image generation models. With only **2M parameters (~8MB)**, it achieves **95.88% overall accuracy** by analyzing artifacts/signatures unique to AI generation pipelines.
 
+## 🌍 Why Open-Source Matters for Deepfake Detection
+
+This model was only possible because companies like Black Forest Labs and Stability AI release their models publicly. Private, closed-source models create detection blind spots—we cannot defend against what we cannot study.
+We strongly encourage all AI companies to open-source their models to enable:
+
+- Effective deepfake detection research
+- Transparency in AI development
+- Collaborative safety measures
+- Public trust through verifiable defenses
+
 ## 🎯 Key Features
 
 - **Ultra-Lightweight**: 2M parameters, ~8MB model size - runs on CPU or GPU
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 - **Scheduler**: CosineAnnealingLR (T_max=50)
 - **Loss**: Binary Cross-Entropy with Logits
 
-## 🌍 Why Open-Source Matters for Deepfake Detection
-
-This model was only possible because companies like Black Forest Labs and Stability AI release their models publicly. Private, closed-source models create detection blind spots—we cannot defend against what we cannot study.
-We strongly encourage all AI companies to open-source their models to enable:
-
-- Effective deepfake detection research
-- Transparency in AI development
-- Collaborative safety measures
-- Public trust through verifiable defenses
-
 Detection must keep pace with generation. That requires open access.
 ## ⚠️ Important Limitations