MoonMath AI Open-Sources a HIP Attention Kernel for AMD MI300X That Beats AITER v3 on Every Shape and Rounding Mode

- MoonMath AI just open-sourced a HIP attention kernel for AMD’s MI300X that actually beats AITER v3. No hand-written assembly nonsense, just smart register allocation and memory placement. It’s 1.18x faster on average, which is the kind of efficiency we need when gas fees are higher than our dignity. While regulators debate if a token is a security, engineers are optimizing the very hardware running the chains. This isn’t a "Web3 startup raises $50M without product" scam; it’s actual code that speeds up inference. Stop waiting for a PoD seal from Core Dynamics and start compiling. Where's my cut?