Remove comment about avx

README.md

@@ -37,11 +37,7 @@ Our goal with Blue Candle is to provide an accessible, user-friendly, and effici
    - If you are using the CUDA version, ensure your GPU is compatible. Blue Candle supports compute capabilities 6.1 or higher. You can check your GPU's compute capability on the [NVIDIA CUDA GPUs page](https://developer.nvidia.com/cuda-gpus). Also ensure you
    have [NVIDIA CUDA Toolkit](https://developer.nvidia.com/cuda-downloads) installed. Currently we pre-build binaries for CUDA 11 and CUDA 12. Make sure to have the bin directory in path so that Blue-candle can find the Cuda shared libraries.
 
-3. **Check CPU Compatibility:**
-   - The prebuilt release binaries is built for [AVX2](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions). The first intel processor with AVX2 was Haswell 2013. If your CPU does not support AVX2 then you need to build yourself or file a ticket so a
-   compatible binary can be released.
-
-4. **Choose the Correct Release:**
+3. **Choose the Correct Release:**
    - Download the appropriate version for your system (CPU or CUDA). For CUDA, select the release that matches your GPU's compute capability. If your target platform is not available pre-built please file a ticket.
 
 ## Getting Started