A Podkey summary of Explore numerical computing in Swift with MLX, from WWDC 2026.
Today’s roundup is really about one idea showing up in a bunch of useful ways: MLX Swift lets you write array-based code that stays clean, runs fast, and scales from little experiments to serious GPU work. The big themes are lazy evaluation, automatic differentiation, and a cross-language setup that makes Swift feel a lot less isolated than people sometimes assume. And the examples are nice and concrete, from Mandelbrot rendering to heat diffusion to fitting a simple curve without hand-deriving anything.
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