On first looking into JAX
An experienced PyTorch user explores JAX, highlighting its mathematical purity and functional approach. Unlike PyTorch's procedural, piecewise-optimized style, JAX uses JIT compilation and transformations like jax.grad to compute derivatives automatically. The post argues PyTorch is engineering-focused while JAX is minimalist and math-oriented.