Update README.md

README.md

@@ -1,17 +1,17 @@
-cat > README.md << 'EOF'
 ---
-title: Boiling Intelligence
-emoji: 🔬
-colorFrom: blue
-colorTo: indigo
-sdk: static
-pinned: false
+license: mit
+tags:
+  - scientific-machine-learning
+  - ai-for-science
+  - physics-informed-machine-learning
+  - agentic-ai
+  - boiling
+  - phase-change
 ---
 
 # Boiling Intelligence
 
-A minimal prototype of an autonomous AI physicist for phase-change
-mass-transfer discovery.
+A minimal prototype of an autonomous AI physicist for phase-change mass-transfer discovery.
 
 ## v0.4
 
@@ -26,13 +26,15 @@ The current synthetic benchmark demonstrates a closed scientific loop:
 7. Compile the correction into a new executable model.
 8. Re-enter the revised model into the falsification loop.
 
-Example discovered closure:
+### Example discovered closure
 
-M3 = 0.8 ΔT + 0.00196515 ΔT²
+\[
+M_3 = 0.8\,\Delta T + 0.00196515\,\Delta T^2
+\]
 
-The hidden synthetic law is used only to validate the autonomous
-discovery architecture. This release does not claim discovery of a
-real boiling constitutive law.
+The hidden synthetic law is used only to validate the autonomous discovery architecture.
+
+**This release does not claim discovery of a real boiling constitutive law.**
 
 ## Run
 
@@ -40,12 +42,13 @@ real boiling constitutive law.
 pip install -r requirements.txt
 ollama serve
 ollama pull gpt-oss:20b
-python main_v04.py
+python main.py
+```
 
 ## Roadmap
 
-Agentic scientific reasoning
-Conservative multiscale recurrent neural operators
-Basilisk phase-change simulations
-Experimental ground-truth integration
-Closed-loop physical model discovery
+- Agentic scientific reasoning
+- Conservative multiscale recurrent neural operators
+- Basilisk phase-change simulations
+- Experimental ground-truth integration
+- Closed-loop physical model discovery