TL;DR : Born v0.8.0 replaces go-webgpu (Rust FFI + shared libraries) with gogpu/wgpu — pure Go WebGPU. No .dll . No .so . No runtime downloads. go build now gives you a GPU-accelerated ML binary. We also fixed 5 critical GPU bugs and validated on real model training. Next up: DeepSeek V4 inference support. The Last Dependency Five months ago I skipped my birthday to release Born. A few weeks later we made training 18x faster with lazy GPU evaluation. The framework was growing. Contributors were showing up. Real people were using it. But there was a problem I couldn't ignore anymore. Every time someone wanted to use GPU acceleration, the conversation went like this: "How do I run the GPU examples?" "Download wgpu-native .dll for your platform, put it in your PATH..." "...I thought you said pure Go?" They were right. Born's CPU path was pure Go. But the GPU backend used go-webgpu — Go bindings to Rust's wgpu-native via FFI. You needed a platform-specific shared library at runtime. On Windows, a .dll .…