Major technical milestone. We just achieved 60% performance improvement in our zkML proving pipeline. Accuracy now matching PyTorch float inference. Models like Gemma3 and GPT2 now prove faster while maintaining float-level precision. By merging quantization and lookup operations and refactoring non-linear layers, we accelerated proving without sacrificing correctness. Performance gains don’t matter if accuracy regresses. Now they don’t.