Update README.md

TensionUniverse/EventHorizon/README.md

@@ -165,11 +165,29 @@ Use this when automated verification is unavailable, or when you want to confirm
 
 <br/>
 
-### 2. TU Q124 · Scalable oversight and evaluation (MVP)
+### 2. TU Q121 · Single-agent alignment tension (MVP)
+
+One-cell Colab demo for TU Q121 at the effective layer.
+
+The notebook defines two personas on the same base model (literal helper vs aligned helper),  
+runs them on a small set of SAFE / UNSAFE scenarios, and uses a scalar observable `T_align`  
+to measure alignment tension from judged risk and helpfulness scores.
+
+- No API key: scroll the header, charter, scenarios and screenshots as a worked example.  
+- With API key: paste a key once, run the single cell, and reproduce the full table and `T_align` plots.
+
+- **Q121-A · Literal helper vs aligned helper**  
+  [Open in Colab](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q121_MVP/Q121_A.ipynb)  
+  [Experiment README](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q121_MVP/README.md)
+
+<br/>
+
+### 3. TU Q124 · Scalable oversight and evaluation (MVP)
 
 One-cell Colab demo for TU Q124 at the effective layer.
 
-The notebook prints the setup, defines a small set of synthetic oversight cases, then (optionally) asks for an API key and runs baseline vs guided evaluators with a single tension observable `T_oversight`.
+The notebook prints the setup, defines a small set of synthetic oversight cases, then (optionally)  
+asks for an API key and runs baseline vs guided evaluators with a single tension observable `T_oversight`.
 
 - No API key: just read the header and code as a worked example.  
 - With API key: run the full experiment and see tables plus a tension plot.
@@ -180,10 +198,33 @@ The notebook prints the setup, defines a small set of synthetic oversight cases,
 
 <br/>
 
-### 3. TU Q130 · Early effective-layer experiments
+
+### 4. TU Q127 · Synthetic worlds and data entropy (MVP)
+
+One-cell Colab demo for TU Q127 at the effective layer.
+
+The notebook builds three tiny synthetic worlds with different class balance / label noise,  
+trains a small MLP per world, and computes a scalar observable `T_entropy(train → test)`  
+that behaves like a simple “world detector” over the cross-world grid.
+
+- No API key: the whole run is offline. Just hit “Run all” to generate the summary table  
+  and the `T_entropy` heatmap, then compare your pattern to the README screenshots.  
+- With API key: not required for the current MVP, but the script can be extended if you  
+  want to add LLM-based diagnostics.
+
+- **Q127-A · Synthetic worlds entropy gauge**  
+  [Open in Colab](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q127_MVP/Q127_A.ipynb)  
+  [Experiment README](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q127_MVP/README.md)
+
+
+
+<br/>
+
+### 5. TU Q130 · Early effective-layer experiments
 
 Early TU Q130 experiments.  
-Each notebook is a single-cell script: install deps, explain the setup, ask for an API key in Colab, then run and print tables / plots. No fine-tuning, only encoding and scoring changes.
+Each notebook is a single-cell script: install deps, explain the setup, ask for an API key in Colab,  
+then run and print tables / plots. No fine-tuning, only encoding and scoring changes.
 
 - **Q130-A · OOD tension gauge (Hollywood vs Physics)**  
   [Open in Colab](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q130_MVP/Q130_A.ipynb)
@@ -199,7 +240,6 @@ More TU MVP experiments will be added here as the Tension Universe program grows
 
 </details>
 
-
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 ## Tension Universe · BlackHole S problem collection