diff --git a/README.md b/README.md
index 736ebf4..ad79120 100644
--- a/README.md
+++ b/README.md
@@ -27,7 +27,7 @@ A **DRAFT proposal & foundation** for implementing DeepSeek V3 in Zig to create
 - ✅ SIMD-optimized tensor operations (draft implementation)
 - ✅ Cross-platform backend architecture
 - ✅ Initial memory management
-- ✅ **Apple Silicon M-series detection** (real hardware detection via sysctl)
+- ✅ **Apple Silicon M-series detection** (hardware detection via sysctl)
 - ✅ Comprehensive build system draft
 - ⚠️ **NOT PRODUCTION READY** - Draft implementation for research/development
 
@@ -157,7 +157,7 @@ Current LLM inference is dominated by Python/PyTorch, which introduces:
 ### For the Current Zig Implementation:
 ```bash
 # Clone this repository
-git clone https://github.com/[current-repo-path]
+git clone https://github.com/Triex/DeepZig-V3
 cd DeepSeek-V3-Zig/experimental
 
 # Build and test the foundation
diff --git a/experimental/README.md b/experimental/README.md
index d2011df..14d5b8f 100644
--- a/experimental/README.md
+++ b/experimental/README.md
@@ -233,14 +233,17 @@ Run benchmarks to measure performance:
 zig build bench
 ```
 
+**Hardware Context**: Benchmarks run on Apple M1 MacBook Pro (MacBookPro17,1) with 16GB unified memory, Zig 0.15.0-dev.703+597dd328e, debug build.
+
 Example output:
 ```
 🚀 DeepZig V3 Performance Benchmarks
 ==========================================
 
 Backend: CPU (SIMD optimized)
-Architecture: x86_64
-Thread count: 16
+Architecture: aarch64  
+Thread count: 8
+Hardware: Apple M1 MacBook Pro, 16GB unified memory
 
 Operation                      | Iterations |  Avg Time | Operations/s | Memory
 -------------------------------|------------|-----------|--------------|-------