EEmicroGPT: 19,000× faster microgpt training on a laptop CPU (loss vs. time)

EEmicroGPT achieves 19,000× faster GPT training on laptop CPUs by eliminating autograd computational overhead, transforming 52,000+ Python object allocations per training step into just 20 explicit matrix operations that leverage SIMD vectorization, cache-friendly memory access, and Apple's SME2 matrix acceleration. This optimization demonstrates how mathematical computations run vastly faster when restructured for hardware capabilities rather than abstract frameworks, enabling interactive hyperparameter exploration in milliseconds rather than minutes.