Update README.md

README.md

@@ -58,7 +58,7 @@ The benchmark supports any model available through Hugging Face's Inference API,
 
 AutoBench is a step towards more robust, scalable, and future-proof LLM evaluation. We invite you to explore the code, run the benchmark, contribute to its development, and join the discussion on the future of LLM evaluation!
 
-*   **Start from our blog post on Hugging Face**: [Escape the Benchmark Trap: AutoBench – the Collective-LLM-as-a-Judge System for Evaluating AI models (ASI-Ready!)](https://huggingface.co/blog/PeterKruger/autobench/edit)
+*   **Start from our blog post on Hugging Face**: [Escape the Benchmark Trap: AutoBench – the Collective-LLM-as-a-Judge System for Evaluating AI models (ASI-Ready!)](https://huggingface.co/blog/PeterKruger/autobench)
 *   **Explore the code and data:** [Hugging Face AutoBench 1.0 Repository](https://huggingface.co/PeterKruger/AutoBench)  <!-- Replace with actual link -->
 *   **Try our Demo on Spaces:** [AutoBench 1.0 Demo](https://huggingface.co/spaces/PeterKruger/AutoBench)  <!-- Replace with actual link -->
 *   **Read the detailed methodology:** [Detailed Methodology Document](https://huggingface.co/PeterKruger/AutoBench/blob/main/AutoBench_1_0_Detailed_Methodology_Document.pdf) <!-- Replace with link -->