We Got Claude to Build CUDA Kernels and teach open models!

Using a massive proprietary model for low-level CUDA work is a feature demo, not a scalable solution. You are leveraging expensive inference for tasks where fine-tuned, smaller models deliver better latency and cost. This is vendor lock-in disguised as advanced capability. The real engineering win is in optimizing the pipeline, not the model choice.