Update README.md

README.md

@@ -123,11 +123,11 @@ ckpt_path = hf_hub_download(
 For Kaggle inference, reuse `kaggle/trm_arc2_inference_notebook.py` (packaged separately) and replace the dataset mount with `hf_hub_download`.
 
 ## Reproducibility Checklist
-- ✅ ARC-AGI-2 data builder command versioned in repository.  
-- ✅ Training invocation and config saved (`COMMANDS.txt`, `ENVIRONMENT.txt`, `all_config.yaml`).  
-- ✅ Upstream commit recorded (`TRM_COMMIT.txt`).  
-- ✅ W&B metrics exported for independent verification.  
-- ✅ Checkpoint archive (`step_72385.zip`) matches `model.ckpt` contents (torch + EMA).  
+- [] ARC-AGI-2 data builder command versioned in repository.  
+- [] Training invocation and config saved (`COMMANDS.txt`, `ENVIRONMENT.txt`, `all_config.yaml`).  
+- [] Upstream commit recorded (`TRM_COMMIT.txt`).  
+- [] W&B metrics exported for independent verification.  
+- [] Checkpoint archive (`step_72385.zip`) matches `model.ckpt` contents (torch + EMA).  
 
 ## Citation & Acknowledgements
 If you use this model, please cite the Tiny Recursive Models paper and the ARC Prize competition:
@@ -146,9 +146,5 @@ If you use this model, please cite the Tiny Recursive Models paper and the ARC P
 }
 ```
 
-## Responsible AI Considerations
-- **Bias**: The ARC-AGI corpus reflects synthetic puzzle distributions; extrapolation to human-generated tasks may degrade.
-- **Safety**: No harmful content is generated, but downstream automation (e.g., code execution) should be sandboxed.
-- **Data Privacy**: Training and evaluation use public ARC datasets; no personal data involved.
 
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